diff --git a/CSVs/MCSimulation_SPY.ipynb b/CSVs/MCSimulation_SPY.ipynb new file mode 100644 index 0000000..99a4aac --- /dev/null +++ b/CSVs/MCSimulation_SPY.ipynb @@ -0,0 +1,652 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Import libraries and dependencies\n", + "import os\n", + "import pandas as pd\n", + "import alpaca_trade_api as tradeapi\n", + "from MCForecastTools import MCSimulation" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Load .env enviroment variables\n", + "from dotenv import load_dotenv\n", + "load_dotenv()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# Set Alpaca API key and secret\n", + "alpaca_api_key = os.getenv(\"ALPACA_KEY_ID\")\n", + "alpaca_secret_key = os.getenv(\"ALPACA_SECRET_KEY\")\n", + "\n", + "api = tradeapi.REST(\n", + " alpaca_api_key,\n", + " alpaca_secret_key,\n", + " api_version = \"v2\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# Set timeframe to '1D'\n", + "timeframe = \"1D\"\n", + "\n", + "# Set start and end datetimes between now and 3 years ago.\n", + "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n", + "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n", + "\n", + "# Set the ticker information\n", + "tickers = ['SPY']\n", + "\n", + "# Get 5 years of past data of portfolios\n", + "df_ticker = api.get_barset(\n", + " tickers,\n", + " timeframe,\n", + " start=start_date,\n", + " end=end_date\n", + ").df" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n", + "MC_fiveyear = MCSimulation(\n", + " portfolio_data = df_ticker,\n", + " weights = [1],\n", + " num_simulation = 500,\n", + " num_trading_days = 252*5\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running Monte Carlo simulation number 0.\n", + "Running Monte Carlo simulation number 10.\n", + "Running Monte Carlo simulation number 20.\n", + "Running Monte Carlo simulation number 30.\n", + "Running Monte Carlo simulation number 40.\n", + "Running Monte Carlo simulation number 50.\n", + "Running Monte Carlo simulation number 60.\n", + "Running Monte Carlo simulation number 70.\n", + "Running Monte Carlo simulation number 80.\n", + "Running Monte Carlo simulation number 90.\n", + "Running Monte Carlo simulation number 100.\n", + "Running Monte Carlo simulation number 110.\n", + "Running Monte Carlo simulation number 120.\n", + "Running Monte Carlo simulation number 130.\n", + "Running Monte Carlo simulation number 140.\n", + "Running Monte Carlo simulation number 150.\n", + "Running Monte Carlo simulation number 160.\n", + "Running Monte Carlo simulation number 170.\n", + "Running Monte Carlo simulation number 180.\n", + "Running Monte Carlo simulation number 190.\n", + "Running Monte Carlo simulation number 200.\n", + "Running Monte Carlo simulation number 210.\n", + "Running Monte Carlo simulation number 220.\n", + "Running Monte Carlo simulation number 230.\n", + "Running Monte Carlo simulation number 240.\n", + "Running Monte Carlo simulation number 250.\n", + "Running Monte Carlo simulation number 260.\n", + "Running Monte Carlo simulation number 270.\n", + "Running Monte Carlo simulation number 280.\n", + "Running Monte Carlo simulation number 290.\n", + "Running Monte Carlo simulation number 300.\n", + "Running Monte Carlo simulation number 310.\n", + "Running Monte Carlo simulation number 320.\n", + "Running Monte Carlo simulation number 330.\n", + "Running Monte Carlo simulation number 340.\n", + "Running Monte Carlo simulation number 350.\n", + "Running Monte Carlo simulation number 360.\n", + "Running Monte Carlo simulation number 370.\n", + "Running Monte Carlo simulation number 380.\n", + "Running Monte Carlo simulation number 390.\n", + "Running Monte Carlo simulation number 400.\n", + "Running Monte Carlo simulation number 410.\n", + "Running Monte Carlo simulation number 420.\n", + "Running Monte Carlo simulation number 430.\n", + "Running Monte Carlo simulation number 440.\n", + "Running Monte Carlo simulation number 450.\n", + "Running Monte Carlo simulation number 460.\n", + "Running Monte Carlo simulation number 470.\n", + "Running Monte Carlo simulation number 480.\n", + "Running Monte Carlo simulation number 490.\n" + ] + }, + { + "data": { + "text/html": [ + "
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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "line_plot = MC_fiveyear.plot_simulation()\n", + "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_simulation.png\", bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "dist_plot = MC_fiveyear.plot_distribution()\n", + "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_dist.png\", bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "count 500.000000\n", + "mean 1.813484\n", + "std 0.835550\n", + "min 0.441413\n", + "25% 1.242403\n", + "50% 1.662819\n", + "75% 2.202477\n", + "max 6.323388\n", + "95% CI Lower 0.701996\n", + "95% CI Upper 3.825593\n", + "Name: 1260, dtype: float64\n" + ] + } + ], + "source": [ + "# Fetch summary statistics from the Monte Carlo simulation results\n", + "summary = MC_fiveyear.summarize_cumulative_return()\n", + "\n", + "# Print summary statistics\n", + "print(summary)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $7019.96 and $38255.93\n" + ] + } + ], + "source": [ + "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n", + "ci_lower = round(summary[8]*10000,2)\n", + "ci_upper = round(summary[9]*10000,2)\n", + "\n", + "# Print results\n", + "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n", + " f\" over the next 5 years will end within in the range of\"\n", + " f\" ${ci_lower} and ${ci_upper}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/CSVs/MonteCarlo_5yrs_SPY_dist.png b/CSVs/MonteCarlo_5yrs_SPY_dist.png new file mode 100644 index 0000000..db43c33 Binary files /dev/null and b/CSVs/MonteCarlo_5yrs_SPY_dist.png differ diff --git a/CSVs/MonteCarlo_5yrs_SPY_simulation.png b/CSVs/MonteCarlo_5yrs_SPY_simulation.png new file mode 100644 index 0000000..db43c33 Binary files /dev/null and b/CSVs/MonteCarlo_5yrs_SPY_simulation.png differ diff --git a/CSVs/Portfolio_Historical_returns.ipynb b/CSVs/Portfolio_Historical_returns.ipynb index 92ff51c..6ff8d32 100644 --- a/CSVs/Portfolio_Historical_returns.ipynb +++ b/CSVs/Portfolio_Historical_returns.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 4, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -67,7 +67,7 @@ " \n", " \n", " \n", - " 2015-11-19\n", + " 2015-11-19\n", " 2081.239990\n", " 36.108597\n", " 13.07\n", @@ -91,7 +91,7 @@ " 100.99\n", " \n", " \n", - " 2015-11-20\n", + " 2015-11-20\n", " 2089.169922\n", " 36.404728\n", " 12.85\n", @@ -115,7 +115,7 @@ " 101.02\n", " \n", " \n", - " 2015-11-23\n", + " 2015-11-23\n", " 2086.590088\n", " 36.219639\n", " 12.12\n", @@ -139,7 +139,7 @@ " 100.49\n", " \n", " \n", - " 2015-11-24\n", + " 2015-11-24\n", " 2089.139893\n", " 36.515770\n", " 12.02\n", @@ -163,7 +163,7 @@ " 99.41\n", " \n", " \n", - " 2015-11-25\n", + " 2015-11-25\n", " 2088.870117\n", " 36.330700\n", " 11.90\n", @@ -216,7 +216,7 @@ "[5 rows x 29 columns]" ] }, - "execution_count": 6, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -234,7 +234,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -283,7 +283,7 @@ " \n", " \n", " \n", - " 2015-11-20\n", + " 2015-11-20\n", " 0.003810\n", " 0.008201\n", " -0.016832\n", @@ -307,7 +307,7 @@ " 0.000297\n", " \n", " \n", - " 2015-11-23\n", + " 2015-11-23\n", " -0.001235\n", " -0.005084\n", " -0.056809\n", @@ -331,7 +331,7 @@ " -0.005246\n", " \n", " \n", - " 2015-11-24\n", + " 2015-11-24\n", " 0.001222\n", " 0.008176\n", " -0.008251\n", @@ -355,7 +355,7 @@ " -0.010747\n", " \n", " \n", - " 2015-11-25\n", + " 2015-11-25\n", " -0.000129\n", " -0.005068\n", " -0.009983\n", @@ -379,7 +379,7 @@ " -0.005331\n", " \n", " \n", - " 2015-11-27\n", + " 2015-11-27\n", " 0.000594\n", " -0.002038\n", " 0.012605\n", @@ -439,7 +439,7 @@ "[5 rows x 29 columns]" ] }, - "execution_count": 7, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -455,7 +455,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -499,7 +499,7 @@ " \n", " \n", " \n", - " 2015-11-20\n", + " 2015-11-20\n", " 0.003810\n", " 0.008201\n", " -0.016832\n", @@ -518,7 +518,7 @@ " 0.012092\n", " \n", " \n", - " 2015-11-23\n", + " 2015-11-23\n", " -0.001235\n", " -0.005084\n", " -0.056809\n", @@ -537,7 +537,7 @@ " 0.008125\n", " \n", " \n", - " 2015-11-24\n", + " 2015-11-24\n", " 0.001222\n", " 0.008176\n", " -0.008251\n", @@ -556,7 +556,7 @@ " 0.000190\n", " \n", " \n", - " 2015-11-25\n", + " 2015-11-25\n", " -0.000129\n", " -0.005068\n", " -0.009983\n", @@ -575,7 +575,7 @@ " 0.009195\n", " \n", " \n", - " 2015-11-27\n", + " 2015-11-27\n", " 0.000594\n", " -0.002038\n", " 0.012605\n", @@ -594,7 +594,7 @@ " -0.002348\n", " \n", " \n", - " ...\n", + " ...\n", " ...\n", " ...\n", " ...\n", @@ -613,7 +613,7 @@ " ...\n", " \n", " \n", - " 2020-09-25\n", + " 2020-09-25\n", " 0.015977\n", " 0.008432\n", " 0.035520\n", @@ -632,7 +632,7 @@ " 0.010929\n", " \n", " \n", - " 2020-09-28\n", + " 2020-09-28\n", " 0.016111\n", " -0.003679\n", " 0.019275\n", @@ -651,7 +651,7 @@ " 0.012391\n", " \n", " \n", - " 2020-09-29\n", + " 2020-09-29\n", " -0.004813\n", " -0.001846\n", " 0.025193\n", @@ -670,7 +670,7 @@ " -0.011582\n", " \n", " \n", - " 2020-09-30\n", + " 2020-09-30\n", " 0.008254\n", " 0.003867\n", " -0.013713\n", @@ -689,7 +689,7 @@ " 0.014543\n", " \n", " \n", - " 2020-10-01\n", + " 2020-10-01\n", " 0.005293\n", " -0.000335\n", " 0.036543\n", @@ -755,7 +755,7 @@ "[1224 rows x 16 columns]" ] }, - "execution_count": 8, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -773,7 +773,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -787,7 +787,7 @@ "dtype: float64" ] }, - "execution_count": 9, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -801,12 +801,12 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 6, 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gPCjoXyS8/KIogDTRXADpsRer1yapxb9YS2Qjycb7fqMr4z6x97Q2Hh5pabsWK5eB1E0rLo7NFC/EyTRbPILQNpTFEq8O5mVHNtIH/tGrHtNbr3+mbGDD/VrPK52NruPqieeEodXEbO1i29WccxlPbTwW3SARcaLmEEDqUnGHp00FHYPQ6sP379TRs8VOciGewpbderhjvM8YDfRH88it1cM7T+n/u/oxTc4tngLR77tzq956/TPz/rrNLOt5vnEBzG7q4AHoDHfBd9+WE/rJqx9f0CC8a3NGpnK6dvU+rdpZnhGwb6i4vK+blmyt1TP7z5CR1GXct5EvZMxhU+mmpf3FLnGz9Tz+9u5tTT3P34b459QqbMsGilPeGx2h/92bntfbbljf0nZVcuv6wx2rFzUf+vu6rwYSbcfi02hfP7uIdmP7xa6T42X1+xrJQHKrqtUT0Alt61PYzkX1fts528B9pmQaNYcAUpdy2Y7tSufbcXxMX3vmsP78jhei948CSBXSpUsHnkmchAfPTWs2H2qqRgApDK0++fBuDY+3VnitlzHCVJtbBbCbUswBdIbf0Ts7ldOpsebOH8MTszWzRdw5zv2bdS6Oi3BG2/XQjlN6x43P6bbnjiYeNzVX4MKwg9IlASp9E+77bDYDqdWLqEQGkre7WUkrlhYDSJ2qi5lmrdVHvr1L92we7PSmNM0dt920UIfbA/q4qu06n3joRX33+1c2/Lz5GABt5jXStZQaeQk3k6SegE5gW89AGpspPr+dwVz3mdY60jhzZyOA1KVKGUjtPbG5g9cdWJXe33WG+0xyFGdqrnjBXyriln3oHTs3rS+uPaDHdg/P38b3GDKQanMZSN1U5BJAZ6RrFZxosu7enRuO6f/esrFqBpOrj+AuLrMem77YOxpNc/Onu41M5fQDH1ql6x7f39S2onWuP+LOucki2kVWNr7AGmliOkUY2pYH/PztStdDWj5Q7K53Sw2kuUJxpeBezg42XbgKW6lvTQCp23zpiYNNrcrZyApqkhf48XaBoJk+cKUMpLpWYXNT2OqrgTSbD8uuadbsHtYNTxyoa1NdBlIjWVKtcuf4SsdavUfg/uHJRTXrpl4EkLpUereQT/0AACAASURBVM7+QnMHkHvfWquw+VPY+r3nTucKifsrtT2u01ErU2kxS1+QrNkz3PCJphd964Xj2j88WddjZ6iBBJx39g9P6HOr95UNQKQ7dCdGZ3T4zJSeP5Ss8XLfluP6r9esqXj+cqs7VqrxJ5VnIGUF/EsZSK64d7Sd3oa6bJb7t56o+F5YWHER7UL1ga0w1S9pZDrFfGQUJ4NGpdutpGXRqq3dUjtxOl4MpDu2pxl9cQZS9/QvXJzAb0Pu23K8pzO9FptGs0nTC+Y0s+pXM/to+imNbLcLINXzHPeYdAbmu762QVc/tLuu9zs37YL2dW9iy1xQrvb3YZUrhLru8X2ZfYrf+tJ6fXrVnoXYxK5GAKlLuQO/XRlI7gBy7+saq5mKAaRS5LaUgSRNRhlIGw+PaM2e4YrRZNdRm67SgV/s/I7XvqEJvevmDVqz53QHt6g9/vKbW/TfP/NEXY91+183dfAALKyHd5zSZ1fvjVesdNIjhSdGZ/RLn1+n3/zS+kRH98DpKR0dmdbmI8nFD25cd1C3PXskHnmczlcewHDBA9f2ZGYgpQJGYUb2AIkEnee+p6wpbP73476/ZgYuKvWVGpEunO39omVxBlJzfcKsv8W2MPXEBdl6O4AUFdHuoiny7nv3m43bnj2ijz6w67wYYOwFjWYaNjtF0t8HmhlErTSFLX17lrMNZCC5xzTalqzcdlLXPFwMMI12oAZSaQpb7VXYvrnhqD79yF59+cmDZY8bm8nryX2L/9otjQBSl3Kd4XanK9s4A6nY4M3mg8wItGswklPYwjgD6S/u2KJ33byhYgDJNRLnSwbSM/vP6Jn9ZxK3+R0vl/54pkPLB3crlyFADSTg/JELsjNg+1L9vBNjs/EgxOC50nQ2d6H1VKrNvWvjoFZuOxmPCLsp11ncOTAOPmRcuIfeeTDrdx8tWOe4foj7DrO6JdaWj9i3O4Dk97WSwSRpeZSB1GwAaXym/OLu5qcP6z9++BENnitfYbCWqaiv103Bl0bFqzp20RT5rCzGXGB1bjqv5w7VXk1v9a4hXXHlysxVI1v1udX7dMWVK8/7em6NZgHOxzHSVA2k1FO2HBut63n5IIyzierZdLdpjdaAe+/tm3X92gPKFUKNTrd/Fba4fa9jkMe17+l21NriNN6Dp6earsnYqwggdamwSqd1IbjGyTU4LrYR2vL0S/9x6QykdIc8kYbt/eIOXNcJWezeceNzeseNzyVu8zuC7vMfy+jkna+C0MafUStFLvNBqL1DE/O1WQAWmAuupwNIZTWQRmf07y5dLqm4EITjzi9PpwJII9M55YJSrYbpKuefdKc/a9Q5XQMp/bvk1dhZJBdd1tqe+1tcfyqfWUTbeI8r3TNXCBoaDa82HbJe/rVTWQ2kJcXuerN9wqy+xcPRyoLHRhqvJeb6evkezg527Uk3ZTi7LfHbOrd64IPbT9Z8/h0bjkkqrsI13z67eq8kSgo0GsTtxCpsUrKd23pstK5VIu/ccEzf+4GH4t9rBXT8+8ebzGbcNzwRB5DamYGUj2sgVX+cldTfV2x/09vnXx+vP5jsbyx2BJC6VFwDqV0BpKiBC1MZSFL2Smxxqn5fqbMcWFuWUeQ3elk/T1cZAV7s/IbHnWAWewCpkQsP/+KxlQ7LRx/YpZ//7JM6MdpcwV2gWdc8vFt/Ga1sifoVKgSQ0h29k6Ozes1LVkgqLszguLZ12/GxODXeWqtzUznlCmEckK6egZRsc7LOxXENpPTv3sWfTf3b637+s0/qBz+0qtOb0RB32ql1IeefnyZmCw1lvqb31WZG0qvWQBpwGUjN9ZlGq/Qt6pnSkjYdZyB1T/ZOo/q7uIi2UXHK7RVXrow/61U7T5Vt69D4rN5355Z4/3OB7qUDC3d5186L/G7UcAZSk/uXP15Sax/Nam/82/xVR9Nf31Urd+nbUY2+a6MgYfwaNb7rMNVmNuLiZQOSpF0nxr0i2g29REviGkgVUpD8P70/zlZMbqA/uL3+wNn53cAuRwCpS7mdtF0BJNfhdo2B3+DNZoys+R3lgYwpbOnHpV/T/X3dXrl+IdIpXcaWfxJyo93dFkCazQfzmgrd7JSAVkYIXYFdN8IB1OtcC0vFS9L242PaeWL+R4IXO3c+msklz39ZGUjp50ilTp21pU7dxFxBhdBqrhCUXr9KDaR0m1MtE9fEC0kUf/cDXXEm0yK55to3PFlWm6rbuYvy0hS27C/D/8onZgsNXSin6zk2s5pQOuuo9LPiDCS/T5grhGVZdpVkTWFrpTxXqQZS+jgJ9dWnDvVEbaQoqaC7MpC8NuVzj+2TVOwXXrRsQGcmc2ULBnzk2zt1z+bjWh0FCHJRgHFZ/wIGkLro8+qERgNIDWcgNXGyqLUPr92bXaOnEIT6yrpD+rNvFAe6LoiCOk6tNjBoIYB0wbJiUPykNxV9Pq+5coVQb/mXdXrmQHYbGddAqtAQxptiS49N7/tuYQZJeoYAErpBqe5CeUdtx/ExXXHlSm0+eq7svma5g6I0hc0LIGUU8nZ396ensJV1ovyfbdnP3V5EeyFGWlxb5Z9UujUD6Zb1h/XLn183b6/X7JSA873Dgs746AO79Mf/uilx26mx2bo7OVNzhZaX9j4fuc8snf2a7udNzBU0PlNeiyUfWF12wRJdtGxA66IL7HNRUdBcoTSFrZEMpKxzcXrJ7awluONzq/e84YnZspp4WDhxDaQqx6JVso8yPpPPPO+EodXNTx8qm7KWroHUzCnLJvpL/rbZUgaS1x/75MO79b9vfE7bBmvXNpnvgE48hS31ul97+rA++sAu3bL+yLy+30Jwgd9PrdqjD9+/s8NbUxRPYfN+KQRWP/k9L5MkbU19124fddlULrixZAEzkLop4NYuflvQ6Dm90f5rM5cdWQFr/6Ztg6Up3v4j/dqBknRhKoC0etdQvCJbFv89/CLa9cw2cNeWwxOlQbqtx0bnZTqwJA2em9aO4+P6wL07Mu8v1fItna83HB6JEyH8QF5cjzUdQIoGq/795Rdq8NzMgtQe61YEkLpUtSlsq6J560/tm78OqDsI3KHhd8arTmEzRn1RACkMy6ew2QoZSO71u70G0kIELrI6s24UL2uUsJNGpvIany3MW82LTmQgZRWlBOpxcmxWY17m2onRGf34Jx7TtdHIcC3TuaAtdexyhVAHTk8u+Pu0i6v5ke5I9mX0WNzUNT+VPAhDLR/o13945UU6cnZKUmmZ4FwhLK3CVq0GUlkAqfJASlxEOz4ven9LRv222549qnfe9HzmksC1HB+d0f5haro1Il1T0j8PVZomMj6bHUB6aMcpfeTbu/TpR5LLNqf31WYykPwLlnQG0kBfMds7F5Texx3z9Sy+kZVB18o5MS6indq/3SDYdJdnl0te+YXQds0qSonvPfo3H4a6ePkSSeV9qDiA5DLbXTmKFvpMZybn4oB7lnYWOu4W/rVKo6tjZx179ag0tSpL5iqLdWQypfsNFy7tT/y++eio3vW1DRWfX2kKm58ckLW/WGvjGShD46X2654Xjut9d26pud3OjuNjFc+jfXFmcPbn4L4X1w7uOD6m37hhvT7zyN5ou0uPdckR6aQH15f4T6+5TJJ0OOpvnA8IIHWp9KohPhdkuHj5QNl9zSqkprD5B1zWwemvNtPvFSJMB5D8dsOvJ9DKKmyz+UBffvJAW+beL8RIi3vFxBS2sDszkPJxbaz5eb2GAkiJDKTWv+tmOvToPWv2DOu9t2+el9eamMsnAgCnxosjZU9USAdPa1cA6b4tx/Xma9c1XcSy27h2N53VkZ7CJpU6dIkpbIHVQL/RQF9f3ObEGUhBGF9kVctASnd6s0adS1O53e/l21nK7vVHM4vT6ZrpbP7k1Y/rv3/myYafdz6LL8SjfSQrE9ba5Gj61Fwh83zlLiTT5+qyGkjNTGHzdrFEBpKVZKRlA32Ji9dSDZ/ar111IYomTo2lDKRUQCOuj9lbIzZnJysHTJpZpa5Z7nv39598UCqiXjOAlBEkbdQbPrZa/+OzpTZm05GRRJbb+ZiBNOkFR/wgbj0avVYpzZyyevMPvqqu52RlGPpf09IKUxoPny3u264USToDSZIOVRmc8vczPwPJDyZl7S/TuSB+7vB4skzAC0frWy3uzOSc3vIvT+nv/i27OHitAFL6usJNB3ZJE34Azg02TaT6WO5zvzCajtfLq1I2igBSl3LHW1YGkjsw3YhEo9buGS6b/pYuou0f8FnphH5HOZ7CZm1ZdNZvXPzXdMdttQ6887OfXqv3fbMUkb7u8f36+IO7dc/m45KKHfP0vPBGPLn3tPZVWKVrvjOQiivYFH/2L0i6tQZSer9oVSNxoEQGUguNsjsJnE8N+/nsXTdv0MptJ+cla258ppDYb+JstjqfP50rtCWANDJVXF1spMpFUKdM5wraNjiqv717a90j1/EUtrIi2pU/eb+Tng+tlvT3yZjSucql4c8Vwvix1ZZebyQDyaQ6qonM22j/8V/NXXQfGG5+tHK+6gfOFQL9/tc2JFaxW2zc9+E6+0HGMS2V12xsNmNWaq7vUKkGklTMRrjsgqU66V1s9fWVMmh8ZyfnyqZSZJ3/XIZDMy1lpSLa6aBqN/M/77GZfOZF+L9tGtRPfXJNS33MRrgtCm1pHwhCq+XRFMayAJLLgkwFkJoN8rhgmZ/V9r++uF6/ct3Tpfc8DwNI/rmo0dq0jX4X/rFf73GUVX/If53//NrLMm93f1chLK6ueVFGAClr4MZJ141zRmdKfZGs/cW/1vEzkIqvWXz81585rL+Krv3C0OqO548mzsMuAaFSwCke2KnwdZVqIJnE6/z7yy+SVDo3WJWuVdOfs2szVizpT/x+PiCA1IX2nJrQwSjim7XihhtlvmhZf9l99fi9mzfordc/k7jNHUjuQEvUQMpoLF0D1N9XCiC5UdWsx0npzlk0AlzHFLZDZ6Z0zwvH49/d3+86MDeuO6Tf/NJ6rWsyBfmdNz2fGG3xzX8AqfRz3vtcu7UGUi4odWCcp/ef0Xe9f2XVFOdKqo6CpszM0ypsTq827JuPntN7b9/clrTxXSfG4ymyvW4+ag+Nz+ZTI+yNXRxN5wLNtWG/cx3aRotYLrQTozP6/g+u0q9c97Tu3DhY11QbqdQ2pgNI/se+tL8vHjWV0lOkw/jc5I4bt8pLcRW22hmw6dHJXMYFuE3tD659z1owItH2R/tEK9MOf+7Ta+elXTx4ekqP7x7Wn39j8a4WmB4YS2Yglcb7ExnToa1asy99V/kUtmK5gUa+4/TKa6XbrYyRfvi1l2nzkdLgn8tA2js0oWcPlgq4/sQnHtebrlmTeO1q579mgg0ugFne50tuWzdLB+lcG+F77lDxcz3YpinCbptCm5yAtHSgT32mfDCvLFOyxQykerI/zscAkt+faDSA1Gzf09r6p7FlBpC8ny/JSDgIQ6s57xw7PlOIM2l81Q5lf/9z22Ct1ee9af5Z/X4/W/p0ql/gXvFD9+/UvdG13wvHRnXlPdv1dIWC2FJ5MDsOAFVox11Q3XUj/KCX/3zJz0BKB5CKD1qxtBh4O3x26rw5PgggdaFfuPZJ/c3dxZS8XCEs2/ld0dBW7T5VWh0ofYAnaiBljNLGacreFLas7fKPo0QGkiuiXUcGUiUuauxO8M1Mh6ulkYBHPZJpyf4UtlIGUjfNL3cN8pGz0/FqVDc8cUDWlhdzrEezRbTnI2W6V4sZ/9Etm7Ry28m6L75b8ZV1B7ummKjkMvaa++5bXcHSWquJ2UKiDWgkAykMbTyFbb5qiFXiBhq6bQrb8dFkgc70SGMlrm1MX5T7Hdn+PqNXXrK87DlSsb0YiAJIrs0Z8aewRftGtUUc6slAcj3dax7eoxdPjpdG/7NWhPO68+7+VgJIwxNzOnSm9XoLbgDoyCIu/pk+jfvn2EoZSEGLGUjbBkf1nts26WtPH65/OysMuFkV25wfed1LdHJsVkNRFpL77j7z6F69/cvPxo/POtdlnUPd8dRMOQDXd0sfF6XyBuWt5Lp9p+Nt7wbp7zerWLC7QFyygKuaZQm9bHX3/v19xluhOdAVV67UU9G0G9emuO++2T5TPcGO8+UCed2+0/rIt4v9IX8/bzSruNHsd+v9W38GUvm53/8uly0p33//7y0b9fnH98e/n52aizNp6nXQOwe5/sf9W0/owe2n9IqLl0lK7i+bj57T++/ZXnWRnKzu0tmo/+sHvEoZQlb7hyf1/R9clcikDeJgbPa2p48Rd57ImkY6Ga86mfzu0xlIH39wt65ZtTv7DRcZAkhdLrTlO7k7SFu9Hv7Fa0ura+VTNZD80dfMGkjuQsoY9fcXW7isBizRIfNrIEUv73fm65VuXIYnig3LRcuam9JXzXyfKP2XSxbRLi07PdFFxSfddv3CtU/qxz/xmKTSXOpmCgM2XwNpPjKQerzT04YB3bGZfOJ4vOGJA/q9m59f+Deu4OpolaFmtDp1zM3R9zt/WTVuKpmvIvD1cHVRuq0Iv1+AXEqutlKN+7zS2a9+22+M9KpLSwGkxHTpINSS/j71mfIMJGtL57TqGUjpAFLxOX9826Z4ZUr//Pant2+O28t8oqB3RgZS2HoGkiTtPNH6tLP5qJnSqLV7hvXxB19s2/uli8kGqeBM/HMLU9jS/aQP3rdTNqP/Vo3/0OTPxQykV1+2QpJ0OurzNFJnqFqQqJlz42QuOwPJfbbpJvLwmSm986bndcv6ww2/10JJfzVZdZDcMb2Qq5o5q3cNaV20OE4Q2sR+W8xAKgXE09nq7vudi4/n5s5/9ezzvVQDaWwmr7s2Hiu7fXKuoJ/65ON67mDlpdd/56vP6+YoANxSAKmFgeh6+hpSdgaSXy9tmbf/um/vsd3DicdnZeBJya7n1mOj8Xlz96lx/a8vlmazuG34zKN79UOvuVR/8jP/XlJyf/ntLz+rbzx/tGwK9tLE8VW+f7ltq9RWPbn3tHJBmJi66/blWjWQ3OPiwR43Fd1tjVeeJb3vu/bhAq/4+KO7hjLfb7EhgNQD0iPp7iB1J5Ltg2O64sqVceQ159V4qFe6iLbfwcoOIJVnIGU1YFnT1qTkSaraSjjVuHZ1OBrVXogpSvMfQCq9Xq7gZyOVfu6mi8B8xt8/EAUMmxm1bHZEd3KuoGse3t3UqkXuI8+3oRbNwmhfZ208VQfi6od2a+2ezq1Os29oMl5ly/nG80f1E1Ews5pWA0guUO9/HnF9jzqe72e3LHQdpGansBWCUB97YFd8QTrf0hlRwzXe55Gdp7R611D8eVVb2cpIiXoNiSLaYbGIdl9GDSSpNJrYUAZSECoMrR7acUo7T4xH25N8ThyMCcrb9uQUtigDaXiqpYzTXSfGaz+oBr9/MTaT11wh0Ltv3aj9wws3ZefRXUP68pMHqy4PPZ/SH7F/6ipNc0je3nAGUmpfKmWHNRJA8jOjkllSRkaXrigOkrk+Qn8DgwrVVmFLX+CGoa3Zn3KrrFWaNtKfCm7d/PQhWVv9mGu3dGbo2dT+uGb3sB7YdlKStKQNRcH9YsDpou5L+pNTctO7leurtVoDKTGN0lr9n4wBnPlY1CTLdG7+Vvx1/vKOF/Q3d28rW7ly8Ny0Bs/NaH8dQXxrbUsBpEYDtPFHYOsfN8zKPvbb9mUDtTOLzk7m4rby517/ivh2F8Qan83rV7/wtP4yqkt027NHEs93SQRTcwX9wHdcqqUDlQtLp9uXl1xQSgBI7wLW2ngV1cR1ZNwfM9p4pFijzL9uKC0Klf33FlIBpvJMqNLvLmiWfox7DT9zK6tu8GJEAKkHpBsr13lwJ5K7NhWj689FRf7+wz88VLGmTyXuhOCODf/kM5uxZKWNA0gmXlo5qwFLripSGjn5m7u2xrdPVTnYMpd/TJ053aj2fExRGpvJa82eUlR+IWsgJYtoJzvx3SIr6OJSuZv5vJsd0d1weETXrz2QqPNQL/eOzQYYD5ye1Ee+vbPjUwsXeBaUpOIxnNXxbMeKh1nGZvJlnY/337NdJ8dma3Y0Ww3auGBMsrZO9uh6Fj8wvvABpMamsIVRwcw1e07rxqcOxWn68y3dlg1XmcIWhFZ/dOsm/eEtGysW0fa/8T5jEgEkv2OZD0It6UtO+Tg3VdqW6XhJ3kYykELtSS22kFwO3mROH8lq8/wi3m//8rP6sY+vrrgd1eychwCS3y6u2nFKm4+MatXOIX3g3u0tv3Yl7jjadORcjUfOj3RbkZweZjNvTweQyopap9qArILsl1+8rKGFIyrVjLTR+7k6Ju44r1ZUPv16VWsgpdrYj67cpXd+tXrmqeu3nZ6YS2Sfu8/M37ax6bzu3DgoqbG2cDpXyFzx8s4Nx3TDEwfKbg9Dm2gDj56d1qdW7a54rkgfmiOpaeIfvH9H/HM6ILYQBryIYDprYkl/n/qNiYOc6XIArq/m2qBm+67+687kg3iKXOIxC3A6G5/N640fWz3vNRhdgCh9rIy6gEQdwZ18YBO1DBsvot3oB+YyYKzq3e0yM5C8GrqJDKQKf/K56ZyC0OrCpf268Z1viG93m+Ayit3AxTkvw9gYvwZS8TmuRmHW359uB15ywdLS9pX9HWFcczUflJ9braw2HD4Xb9ORaHXTrBVQfe67L2UgJQNKfqy2lIGUmsIW/R0rvAykbgqSLyQCSD0gXUjbTXFyO/nRKGXvVV49iEq1ESodSOlR0iCwcQcpMwMpOob6+0zVGkh+Kr87OL+49kBimla1aQSVpnlJpUbNHeTzcZF254Zj+v2vbYi3ab5TdZMZSNlTXNIXXVNzBd2y/vCC11HJkvX3Z01hm80Huubh3TXrUDXSqfEbYRfRbyW4lpVNVY///ZXndPPThzVU5/Sb+ZZVmHehuIDNoTNTiSLpoy0GNe99YbCpbInxmeyAlpTs/G86MqKf+uTjGvVSsFsNKLtAfRCW6jC5Nqiewpb+CpMLXX/LtX3jdWQgWWv13X//oK5a+WJ8bon3sSDUR769c94yktLnhKwpbDc9dUh/8LUNcS07qZgmL2Wce/xdwShR8DNRdyiw6u8zxSls0R/np+e7dqra4EVWAMkPOFlryzuTbgpboh5TMi2+eH/p5+cPj2hofK6pAPXOE2Mtnxf88+a3thwvKwhej2f2n2no/Os+n42H27SyVVkGki27zyr5HQWhTdVtrP4e6VHnC5f2a6DPlA14PbDtRMWLZP+R/j5ibTFAecmKYsDUHVfpKWzpIFEi+J1VAylqx9LPGzw3o22Do1X3Lf8Y8gt2+/UxnW9sOKqZfKCl/X0N7Sd/c9c2/e5Nz5etKLdy+0ndvWmw7PE3PHlA/+nDj8Tt13tu26QvrDmgA6ez+8PpIE06I25JX+kSqR1TPAdS7+e/45L+PvX1ldqzfCG5PaV2Jvq9ySn7/t85WeF80mpt0Id3nNSTqcDgsZFpTeUCHRuZqfCscvmgdn1BF9RITwUbjadE1f5b0qU2chmLG1Xfzub3nfqnsGVkIFWYwpbmBmLOTuVkrdWSgb7M6bEuOOuCJf7rX7xsoBRAUjGg5AKiWceOC8K5zB2XXSkVj0P/75nJBfGxmTi3Rp/rsZGZ+Jj/6AO79NOfWitrSwMAlaewRfeHyd9LDy89z537/d1l89Fzejhqy/0pbGQgoWvMZWQASaWd3Z1c0x2VzNeqcPL2O7m/eO2TuvGpQ7ogOrCzMpD8ee5uZCZr9DvrYE9v5+RcoeLFpf+3uwu6+NmmeuepHumG7fTknKz1lvud7wwk72e/kfG3/W/v3pboYH5s5Yv64H07tTZjJG6hZX2mS+IAUvG+e18Y1L9tHtT1aw/omQPVM4QqNeRZ/BFd93Mz0/vii/8mA4ynoqKf6Q5bu1W6wAxCO29Za+MzBeXDUD/76bX6xc+Vshirrbg3kwu0L5WZkfZX39yqX/r8uqqPydye2XzFY9C//cDwVHTRU6oJM19T2KTSxVccCKqjTzeTb2cGUv01kFxn9sanDpXqe0QdvbV7Tuvmpw/XLKR+8PSkPvvo3ppBj3qmsP3TA7v02O5hrYymikili/V0Vod/7jBKpo2XFdGOpnzEGUjTubgTPVVHBlJ5rQOb6DzmgjBxkWaUXU+oNErqv3aYGPCRSu1MI85N5/XE3tMtBWLcNv/c61+h9QfPxh3xetvqnSfG9I4bn2uoppE7jja0KYCU/lsSAaTE45KPqVTUOkt6X+3vK4Zn0ofIn97+gt5966bs7fQenGwzigN6l0QXWWPxFLZkQ5QOuPrblA9C7TwxljltML2vF4JQU7kgkWGQ5g/wjHqPi7PTvQvQ5w6e1etfdbH+3WXLGwqm7zo5Hm97cnvDzLbOTbd+41WrNTKVq9mPS998JvXZ+FlH7ViEY2k6S8TbvqWpItrp7UkHKZrtu2YVDk7Leu3ZfHHqqwv+V3Pt6n367Oq9idtccfV6yxRMzOb1X/7pUT2equNT/jh34V/8vP7+3u167MWheN+uJ7iTK6QCSEHpeumKK1fqM4/sqfr8hoto29K/9RfRzspA8gJIVYpjX7C0X8uX9OncVE6BtRUzG12744IlfnLDZRcs1Uw+iIN6RqUVuguh1chUTr9y3VPxNrlrOzcI5GcgSdKvfuHp+OfZQhAPALnPMh+E+syjyX3IV/Da79AWA4Z/8LUNGvbOs+66113PlgJOSvwrlQYE/embb73+Gd2yvjiNz89A6tUFexpFAKkHVJrq5A4Ol21UTwClUjAqzkCStPtU8WJw6UCflvQbzWZE2/0pbMYUa01kNWD+RXdWarMkfeuF4/qlz6/T/VtPlG+v997p0fV0E9dMACn9HNe5ch2qRAHdeQgmVTo5++9zfHQm0cEcmSp26KtFtU+NzepHPvqo9pyqfiHfqKzP1I0quO35q29u1QfuLaZ6VyrC5zSSReP/vS6I2VIGUouN/LNdxQAAIABJREFUetYUhSyP7x5qKYPjzORcYlvdJ1bps7v3heP6qU8+3lR9KF+uEGomH8SdF3/FrGoXEu+9fbP+x2efbOjzPTYynRhh+os7XtB9W46XPW4sVZPJl7hIjzZ6rxfImisUi2C//57y+gf18Nszv9Milbc9s/mgbCTUz0BqdUW4WuIAUh1T2BJTvaL2eSAKCrvPsdYI8yO7hvS5x/YlVmDJUjaFrcpx8fCOU/pPr7k0cVt68CJZRNskLriS2RZeEW1rFYbFGgqu6Lbbd6qtApqu85ErhIn2e3ouyKiT5PaT8syPZA2kUK++bLku9qbgHczIkvjAvdv1hTX7y273/d7NG/S2G9ZXfUw1rn/xGz/yGlmrOJBXb0vtsmHcxX493PG0/fhYw+1WrhDqg/ftqLsgu5RVA8nP7skOEpUX0I8GzeLnJV8zfX4Y6O+TMaahTC5/O3OFUGPTxZpUbkrIRUsHZIw3hS2VJZDehsRKpoHVL3/+Kf3GDaWit64r9tT+M/rWC6X21+2zg+cqr8xXKbgQZ6d7/bzx2YJedtHShjOQ3IpL6SyMfMFm9jcvj1Z9kqTHXhyKL2ArBVPSbfZIqoj2gLfyWlYQYNXOU3py7+l4hdpWDXjfZ2CTRbSXDJhEEe2yoFqV7LNqTk/MJfYTv59bLYA0mw/0xqtWa3VUMPiZA2e0aueQnj9UOyg8lSto/9Bk4vM/NRb1c+tsD06NzWpirhDPwKgkPT3p9ueO6g++vtELSNSRgZQOIKWmC/ormWVvQ/I9asWE/OuxerKdpezs40pT2LK87MJlOjtVrIGUvkZzv7opbMujYJS/37gMosnZQikDKcqoC0KrXSfGEwN8btsujM6BL7kwuQiSfz6czYdlGUhbjo1q9YulYtWXLB9IBHzzQZiYwrbl2Kge2z2sF7wAp7s//a877uIZOaGN98tKx1Wjq9ctBgSQeoAf9PE75EFYnBLg9ud6MiSygkHF13KR19Jr9Pf1aflAf2bgwr2na2j6+0zmiFAi+BUmO2COO/k+tP2k0mazMpAq/JnNjPKnT8Iu0yLr88jPQ+FA672EP4JX7bXrOYE8tOOkzk7ldOuzhyUVL8bW1BiZqUdWp8llIGWN3o/WCCClO3JHz07r2xmBQyk5EuV+no8A0sM7TpYtL17rOVJ9HZsgtPr9r23Ur3mjJ42YzQf62U+t1TeePxrfZuPRkex9ZGh8VhOzhZaLr2elQDvVit0+Fa0akz7+Xjh6Tu+5dZPef095LZU3XbNGb72+dCFz35YT+os7tiQeM1cINJsPK3b+/VoNrm3xA6hzhVDDE7P6xvPHmioE7n+e7viMA0jeIbl/eEKv/8eHdeO6Q4nn+8dHo8HLRvZRqdQZq6eIth/ccH+Xy0ByH+mp8bmyqdOJ1yiUOnHVpPfJ01WybM5O5fS2H3lN4rayDKREACm5tHY623Wgz0RTPoqfSxBavTKV9dNMEW1nKlcou/hwUxuyFozwLwbzgdWS/j699mUXxLdlXQit2T1csU7Qa16you7R6Wrccft9r7pY3/XyC7XpaPH9sjJuso7FpQPZ06CqKU31szX3obTHdw/rlvVH9LEH6s94SgcKEquweXf5f54/gu0/rlIvK91P6u8zMqZy2YAs/vvNFUL9yhee0hce3x9fkPX1GV2yfEmpiHaqBz+bS34H/v7tCkRnTedaue2kPnjfjnj/dvtEtelE05UCSN7gojM2k9elK5Zo6UBjASTXf0w/Jx8WBzvSt7/CCyC96tLl8TZUyh6rNYXND+i4YzoMrTYdGdHZyTm9+9ZNeudNz+tN1zxe998kSR/59k7947d2lN3uB6xCaxP75kBfn/r7SgGeatMVpfoLXb/xqtV6mxdU9Lt8laawBVFGyemJOR2O6s08srN4MV9PQHhqLtDEXEEnvcCby8DM6mfdv/WE1u5JrxhWPAbqHZwpBDbRXrusuWqlDdzXnyuEiWuZuUKoM5Nz+r5/eFhS7fpYjU5h++2vPBsHietp4y9aNpA9hS1RRDvZWBRSg5QvvXCpRqZyCsOsukvFG9IZSP535QJIE7OFOODtPpd8EJYF/N22Xbi0GEC6LJWB5JvxsiHdZ5nuW/zI616SOD/lg2QGkhu88vfp9Orj6cEed7tr242pHIz2M5DOFwSQekAuKB2kfiZAYK02HT7nPa52Q1qpcXeNib96zECf0fKl/WUXErP5IH4dd77r7zOZy8/7J3h3wktHt91BuiOq53ByrNRp8d+71okp12AjXdym5HPiUYnUqIXU/JxyXzyKaZKjO/mCTRSEzVLtPFKailL8Qq5fu1+ff3xfaxur7IsC9/VlXXxVy1SRyhvf69bs0/+7c2vmY6dzQXyiajaAVBwpc6NFxVo277ltc90BHj+jqp6OkdtfG7n49+0fntTEXCHz+ZUO71L2SXOrGTrVPttqgUF3MeYf6+sPnNWvX/+MHt55KjOzSJL2Ras8VTohZxWxTryvn4EUfTh+BtI7vvKcjp8rfo7NBNfGszKQCi4IXjoav7mhuIjB1sHkhXC9q7DdueGYftPLICkEod5z22b99pefrXtb3SBDPX9nIRVokfzaG8Xftx4b1fu+mX1cSqV2odZ0hfQ+VZwiXLkd/YUfeFXi91pFtBMZSImVz8Ko6Gx0sRPtv+lpY1PVimhntPd+h3w6FyQuPozJXgEpa4S7EG3fxctLbX55sMzqzGSuYmDmomUDet1LL8i8rxprrW5Zf1ij0zmt23daL0QBo6UDfXrJBaXgRNZhl70tjQeQckGo73r5hZKkt3/5WV3prT5VS1y3q+5nlD/WDwSWRpuLFxzuoie0ySLataawpffVgagGV0Pb6V+8z+V15Oy0Dp2djqeESNIlKwYqTmGbyQeJ/c0PYtc6J43PFuKMwloZSGFoNV3hfOiXN4hfeyavS5ZHAaQG9hN3vKX3Lfd7+qL55ReVAkj+FJqKU9i8lx3oMzo7lcyQ9Itau77ibc8d0f/64npd52UGNhog2HF8LDMwvNQvop1RA6lYRDs7gJT+XBvJ9vaL8deTgVQIrVcTpnicuGyQSoPUPlc/a5+30uPQmJvCVr5//Pk3XtDv3bwhcZvrkzy4/aSuuHJlzRUdg9Am2m83WFwtA8mdF3NBMlg5MZssu7E0HclNaaZm1MhksR5RPUW0L12xJHsKm3eMLklto/94a6WXXLhU56ZyiTbQccfyaLUA0gWlAv+htTLGxANTQWgTGe1S6dh21z2XrUhmIPmSU9jcsZ/8e1/3sgsTvxeC0JuKZuNZAf4+7Y6lE6Mzms4Vyopuu/bY9RMuXjZQ8bhaXscqd4sNAaQO8gMx1SQzkEqNpLWljrFUXwcuq3GWvCVAvdfo7zNavqSv7Dn/7Z+f0Puii36XWpzuyGRtkzvhpB/qgg7HRmb0xScO6Kc/tTbuGPgN/vqDZxONffp16hnZ2npsVH96++aKJ+E4yl0I9YU1+xO1X5oJIA2PzyZSw10n9KJlA5rOlaa9FMIw0VlplJsu476HuXwYXzy3Iqtj5D4zf/udRjOQthwbLRvZd2byQXxymakQQDp0Zipz6qNz/Zr9ccc5H4Tx31PvFDN/5aZ6MpAqHV/1ctNHs4qRV+qEVOpMN6paAKpaEW23T+eCULc9e0R/f+92rT94Vn1Geut/+Y6yQGPZVK8KF/Huu67UwXP7zPbBsXgu/N6h5JK8Lruhmcy1RA0kNxKesS2uQ5IOAPsFmqtdNP3tv23T84dH4r/HtelDVbJ1ZnKBNh0pTRVw7WQ9GUh+BygdePa/moerrIbjzhc1M5BmC4kgST4oTiX71+eOZF7QXnZBshOZPj/6F/FGyU5xOuunP8pAcqPlkuIpbE5WG1Z6vfLb/e2ZmktmIBmZ+HtIBOkyprC5Gk1u9FXKWG11tlBWZynt0iqjtpXsOD6uD963U3991zb9w7d26OtRDYel/X26cNlA/DdkfS5ZfYw4m6hgdfPTh/T47qGyx6QVAquXX7RU3/nSFZKkO6IgbD1cG97IsupVayD5GUihjS96CkE6gFT9PTJrIJnG6v75j3XZP6PTuTgDSSquxDZWIcg3mw8S2+G3vcerTEdzXDDR7b/HKjzHn+qc5m73L0LHZ/O6ZMUSLenva2g6rzsm0s9xx0S6vfMzhvJhGE/xq7wQQ+n2l120NM7Scvwi2u4zcSUj7ttSud9Rze5T4zoxOps53TiZgZS8b+lAsT27a9Og/vqurcqli2i3WAMpCK3+4o4XtMUbCKk8TdHGfc5CaPXC0XM6E03/m8mF+ru7t+lv784egCgEYfx9+rUTT9VZA2n1riFdceVKHYv6t25a1M4TY9WepkJoE21sVlHmNNcnn/OmsF12QfH48883S7y++6qdpxKD4MX3aG7w2aq+GQgXLx/I3J/84yZ9fZE8dqxedmFx/w/Cyqs7xoHr6LiYzZjCNjFbiCP2fg2kShlIF0X9g3QNJN/UXCF+b9f3SPd3yzKswmQR7awAkpv9cmYypy+s2V9WiN6dA12//pIVSyoeV0u891860NeRRY/ajQBShwxPzOr1//iw7tqY7DhlXUgno+bJ5VL9C9Z6ViSoNC0h6wJpoN9o+UB/WYPud/xdQ5NVsd9tkzMZnXDSj/SDNDeuO6RcIYwvZv3tvXb1Pj2445T88cQg42Komif3ntYD207GaYzlAaTitrx4clyfWrVHK71pdc1MYfv9r2/QX36zNDXHbe4ly5ckRkTygU2swNEod7HpTiK5INTwRPVpKPXIvGCIOi5Tc4WyTo6/f0rFgN3nVpcyofzva2I2H49AZX22s/kgPrmkM5B2HB/T4TNTesvn1+nPv/FCxfpU67wlaPOpNOR6+KNas3WsrFAtY+7MZHbQav/whK5auUvW2jiDJit1vNKJK99A8KCaatkr1Tp1rsmZy4d6cPtJrd41pD2nxnXFyy8sy/iQyoMplerQ+JkQWd+vG+n+n9c9FbcX6Ys411loJjvLX0HMdVpcO+n3r1xHOh0om/ECY/UEt10GpzuGqmUkfmvLcf3GDevj/dPtd/XUQPKPadf+xFPYvMdVu/B1+9yLJ8er7hvjM/myaWOHzkzpA/fu0G988Zmyxy/t70t8trWmsC3tz66BlA+KAZo+Y2Stjc8x6W1Jj0qn70tLZyClL9rc51+riHauUMxAutD7jtNttWsvqp3XVixp/Jzh2trTk3Ma9kaFlw70Jfa5rO8/fSG09dio3h5lyk3nC7r6od264/lSnyZXCHX7c0fLjl+XIeaWpW+EOwYbGXBJn16yprBZFduaUt2OMDsDqcJhkd5XXQ0u/2P8uX9eW307vce64M3IVC6eEiIVL7RcQD8dGJmpFkDKCNimawttPloMHrhs7sEKg1DVMvfS+42binzpiiVaNtDXcKaalDGFLXBZt8n2zv84gsDK7SKV3tPf1OVL+jU6nU8Ef7OmSbv6L7UyXrKMz+b1i9eu0/HRmczzbaIGUmgT/fklURFtSbp702BmDSSbsb31Ojs5p/u2nNB6byEU16dITy0uhDbeB4LQ6pFdQ1rSb3TRsgHNFgJtPz6mOzcO6tmD5Yuq+AMr+7wBH9eHrbWC1dUP75ZUHjDKGnTz95t0W3/gdNT3rBLccZ+3P4XtFRcv09hMPlHjcGmUfRKEVu++dVPcJjqtzF6oZwpbxQwk7+9dkrq+SB/DL7mgmIFkrVX6UsRtwt5ogNNN1fazEC+LA0h5WRWvDf0aSMNlGUjJGkjpwSOpVFT+1NhsfKzet+W4zk3lyvp06QyrvDcwXZzCVty/XJ/wwOlJrff2z0NnpuIs/7BCU++u27Kus/0BjZV/9lN1r57XywggdYiLtqZHPLIupP1GIFkDySY67/mgcmfYqZQhkTVK2m+Mli/pr5p54Y6ZSnOAEwGkCstp+llU8QVR9J7pot8nvU6QkUm8fj0dk1IUuxS4cQpBGN/vLub85WOzLigKQVgxMCBJR84kR/Bcw+M66q4xK05pqN7g/MntmysWa3RzydOf38nR1oo7ZnVC3Gc3nQ/KsmLSRbTv23JCn3ustFKC/xluGxyL97esk/hMLoiLzJaKaBd06MyU3vIvT+lnPr027oxkZZgUglDbvaJ9+SBMpPRmsdbqkw/vjjMr/IyqelKz/f3VP6FvOnJOb7xqtfYPT5Y953dv2qCvrDukofG5OANp0uucuE+mUoewlIHUYgCpSvChnuyrXBDowOlJzeQC7R2a1Pe98uLE0qZOuo2qNMrpdxCCjBN2PUXt3ahTM1PYJjIykNx+6jdhLrMy/Rn5Hcx6AkhuG900igurBJBGomKXru1pZBU2vzOb7nT7H3O1sQi3zxVCm5j+kDY+ky8LIro29URGW2aMSaSCl19M+BtVeQpbIQy1pC+a8uFl6r7ay0CKsxsrXLDUk4GUnsI2mrGyT6UMpCX9JhVAKn6mdzx/VNc8vFtnon1345FzFbMsmync6S5SJ2fziX02HUDK+v4TdTOsTQywHBuZ0VwhTLTFNzxxQH9/73Z9KzWNNR8Wa0D5GVhZdp4Y03/4h4d0wjvvu898oMa0EV86qJGcwpZ8XJ8pfkaBtYl9wNUvzGqLpGLmha+0Clvp8VmF0ittpztO3EWd6ze5WiVSeZ2bmXyQqIPk1ylKDzZK5VlmZRlIFQoUT1UtPl+6aJNKgfhLlg/ERbRPjc3qcI0C/MXtS25vafuzM5DCVADFDwBk8R//PZdfJCk5DT9RpzJ6z3qmqhwfncn87B70VpqcmCuUncP89iy02VPYStuT+kxCmxm4rlc8+Oh9Vu588tqXXpDo4wehjQd+hidmddfGY3rT916uS1cs0dDYbByc+NjKXWV/oz+tcu9weQZS+jzqb09xWm/2OT2rfMKoN2OjEIaJzKATUd+42vQy11b611Yvv2iZRqdzib6hm3ro+gzpfnchDJuqV2dt+fVSlmIAKSsDqfRZpgPuyc+1mIE3lQs0nQsyi2g/tP2kHovqqrpjwT93unPZbCFahc3UqIGUd1PYolXYLizPQHIDRH6trCNnp/Xe2zeX9VfLA0g2bqutLQWw3HWoqxHrFu4YHp+L21N35KXPG5esKP6NWceW//7pbVmszo+/sgst6e/TpSuWlI1iZF1IJ7IavJ9DmwwYpQu9ZalcA6n8ffv7jFYsKWYgvefWTXrz58qX4XYNzUCFAFIu42Il3Tj5S8C6IIrr7KQvNt1oXOn1k39/La5zmzWFbWwmH7/2dEYAKStAddemQf3Mp9ZW/FzLOq7Rry6zZtpLAy6OmJcee/RsOvgkPbkvuxiwO6m6NGL3uWWNOv7h1zeWZb45hSDUZx7ZEy8LnT1loXTySDeko6mT+OhM8UI3LgTtfR6usyqVMhp807lAF0cj1O7zHZ/J62c/vbbsselArCTtPz2ZXMY4tDWPj8FzM/ri2gN6dFdx+o4f3ExfIGTxj0//uB08Ny1rSzV6Htl5SjuOF4NbbhutbDzC41/YxwX9KnQIc3FnurwDEYRWv/PV5+JC19X4GTdlf1fqIntsOl+2z49M5TU0PqfpfHG++uUXL4tHa33poLDrUC5PZVP4F6JZ7VOlCzmfu/BsbgpbebFFt//4aeUuAJb+PPyOcrXAvmsO/+wbL2g2H8TnhGoBJNdxKwWMw3hbagXW/A6zu0CqNgobhFa/ecN6ffWpQ/FtuaA01adSHaQgtJqYK5Rl/VS6KHX8/aDaKmx9JpmlVVZEu99NYStluX6nVzPIpdxXyqbI+hxnU9kdiWyF0Hp1u5K3R1vvbV+ogb6+RIDVfYdX3rNd1689ELflUrEGSJqJBnga5Tr16ZoUS1MZUVm7kd9+hlaZgx7+sZaeNjB4blqj0znlC8UBkwuWVd/+2549olwhjJfqttZqV5R50MgUtjR/d/eDKMXR9+J+UwhtYp9y5/JKF+ZZNZCMaaxWk9NnFE/RGYmmsDl+ACkd5JzNVc5A8p2dTC6J7ewdmtDkXMGrgTSTOdr+/7P33VGWVNX6X6Wb+naOk3OeYYYZYAYYhpxRQEQRxfRTDKiYUMyBJ2afGcN7+syKqKASBclpZIgDM0xkcuju6dx9U1X9/ji1T+1z6tzuHnUt3wP3Wizm9q1b8dQ++3z72982sT3IdAFaWujVMRHta25+Dm//+bpqu0iYHtvRe6eDCCoDJ5CxZtVOnmGI42c34zeXr8KFyycBUJlFnEU6HuZbEJWBHf+FvyrC1GTbu2PQLAyBQc338DhaF9H2HFth+psYSP+IZifNd3Svebc/x7aUUmSfMZBuW78fPcNlvP/0ucimHNy18SB2dA+jIedh/Z5+3PGcWtJK4GNjzpOd2AplX8aOWw4OKkklHtf0FypyO91/mUq+eTy6u2cEF7LGHeTLfv7ITkWP6tdrd2L61Tejd7gkQWrqwpZybDTmUugbKSuAFQF/FEPpsUzZDxMMoPHaP6aBxCtKkgwdbk0RgNM1WExIknQPlvCxG9djyaR6LJ1cLzqSaowurlcaQrCW3HFoIEkRbYMGEt3Xvdo6Zn/UOIab56rnXPEDBczuHIwTMt+/dyvu29yFWa01aI6u+8BAQb4/koGkvULEmDUll7hf8MboePdisZfGVf4vNao55WbS++AvKXcIQSiYJinXhucINs5YIEpVAMmAwju2hXSkgXTbs/uxwdCmlya0akASP59BCSDF3/MFwOy2PN68eoY4z2jxrdP6+eRuWSrwMJ7ypD6N+s2dKJ8QiNmyj01Kq794N/72gtqidHvXEAaLlaosCt3NELKtM5DKvsiYc3BtzZfvTuyvmq4RTZTEXpAAkmH7OzccwFU3JEVLK36A91//FL751y0yY2wuYQvkd7oj1RlI1PaTNuPB99+YALzpOAWmgUTvSTXaeLeBBaYvbMuVIAFehGGI6VffLDV0iHJN18XLK8fDwuH7LxjYSDQRXv6zdTjvWw+I84qu/WB/UWbhTIvasRhIpjF4cKCA+zd34d2/enzMc68GsqQcGz95eAeu+OXj+O49W/CWn/wNSz97By79oUrT3rhf+Ac/CFEsi+A9Z2AYcB8UBKE877SW2eWLA5N/MgXIkxqyymfKXI2ntAsA1m4/hNsj7R/T8U1d2GiRpi/WhsepgUS1+0/u6sU37tqMB6OyS8rMHRoqSbCRjMYHZUHJTwbh6OUl4hri+zYiASQ188bthe4hrH3hEK7583OyE07FD9CaT2NCfaaqDhIF/u11QtiWsonVdFXonnJQZDQRbcsCzl82EVeeOgdr5rYmtJ1c2xJdi8K4Be9ENj7qooC12iLb9L6NlNX5jG/DA1pd0BtQg1EqsePzZbUSttGMM5Bofn5ubz/29I5UBRIJ/OT+wrbEAkNlIBnYp+y6/MBcdq2wpKN90Ly2+ot348yv3ydL2EwMRW50Ch+/cT22dQ7ihnW78auoRO6fzUAKQ8gW1q5tIQhCZV4ZDUAK2RgjExpI1uF1YWNlUhQ7FcoBCmVfvh+NuRQGChWlTTXZSNlXgOtqQteS+cz8alttGkEIPL27V9Ee6jSMQ3pnTItbuk9hGOLZvX24OGoQIAEkP0DPUAlbDg6OuyNbUjBaZSDt7ytgZ/ewWsI2LgaS0HNZObMZzTXCT/FnPlzyccnRU8Q5RDsfLRlw+7P7pTbSgf5i4rx17cU+LeE2qgaSxkDSm8aUfZUxR2yKU75yD75y+/MARFLyZ4/siI/Btqf5juaq2nQs1m5bKoD0owe3SyCoa7AEx7Ywv6NWKSk+dmYzAOChrV246rdPyWdA4OPSKQ0YKFawv7+ggD97ekfwxh+tjc+L+VUe/+mAEQEUB/sL+NZdm5XSZQDY0V2d8XbRdQ/JZ/GjB0WiZH9/QfpnEtFOuTbqIw0kHusS4yTuUqbGPRX/8DVO6cmMt4TNNI+pJWyjMJAQV8V0DRYTx6xEcdrXXrUU2ZSDB7Z0SVCfjHx5sRJEzKl4PVjxTRpIwqdR9zJTFzYTA4n+roPHupA578LGS+g27OvH52/diEe2deOEOa1yvCvvK/kw7XwoZhibgfTiL18D/g0g/UutqSaFQ4NjM5BKVUASqunNuDY8xx4XgFRt8jMd13VEhnM0jQu9hC2fUR0nn0Bp4uDOqY5t/5f3rcGJc1sBxAuH0RhIQRgq531YDCTqqsR+zycECrD02O+uDarT7JbCgYfHQKLJmII9CqiraUmRVdMkoOui8UT3YreG3OuOr1QJcLC/gCAIcdUNT+OPT+2FbcXgh2mRTs+0VAkSnYp6h8tKwExaDQcHCrjkBw8r1N7HXjgkHa1pgT1S9hMsjGogjomB9NRuddFd9pMMPQINvxt1VHl0uwAI6boPDZUZK250AKl3uKRswxeEFOju7hlJ7IeeydMRSFCbcZXFXTjKwgWIn7VJ54cC1tQ4MiLVQJa2CAC4+el9eGBzl7xHpJdBxruSjJT9CEAavYRtoFCRLLyMZ6PiB3jrTx/Dk7t6lfNZ8uk7EuC6SaNlbnte+bxHYyCFYYgf3rcNB6sIVH/mT8/iS5HGwkChLIMS2YUtOgf+LMiv6T5guBQv+kwMOzIOnF13z1a5QCYg5aLrHsJ533pAea9iBlLcbIB8is4C1I2fOy0wdfFIbhv3xWUGV93wNA4Nic5gnmtjZmtNVUCI7nlz1Bkp7dmoTbtKa3DOZKBgk5dKjKqBBAuuY+N9p89FQ9ZLsIHcSIOGumnZljrf1Ed09GpsClMbbLVkPFCOqTDmDKUknDFX9kU221YAJPV44wGQMuz9uvC7D+L6x3bhnG/ej+O/8Ff8552bEtsfHCjg1d9/OPF38g/c31Yr2SYLwtDoV/h9oAXqx29cL1mQB/qLUQmfbQSYq9kXbt2IHYyVS+//vr4RTL/65kSbb276pSiANAcdohI2J2IgdSoAUrSNtrPr7tmKb9y1OfF30YUtHrP69yZgiTbRBWHLftyFrSkvFlp0K1RlAAAgAElEQVQ9wyWjBhIvLxuuMrbJf/Dfr4wW/E/s7EUlCNBWK97b3T0jKFWCRPmmuMbk8+etsz9w/VMxozIVl7ANlXxUgnDURT2/P8kOYzTnibG26vN3Yc2X71ZL2HwGIFXVQIp1kprzSVmJkZKPbMqBa1ty7HNWEmealP0AL0Tj80sXHQFA1fgBkgCSPufyRXBiPEWMSnk8gy4Uj8fo2W7rGpId417734/gEzeul8+P+yQOgFsWUJvxJKPGsaHolT20tVsBEDrqMnAdW7n/tP1PH96B367bLVk+lOBYNqUBgGh8oUszPMYYQZyBdIh1ydP9I831Nz25F1/9yybs7hnRuuiOvj7Y1iWeFe9MSqCPqO4Qyfr6rACQek0MpOhc9ZbulSCsWqUxlo1HRLu+SgcztYRNfVeL2jtB458AQd1edsREzGmvlUDJ+5i2KwBkI19eLPsIIUpuyT/0DJcS978Y6QC21WVQl3GNGkjEKtJFyV3HSjKQHFsBtCtBoHQuNpVGnjCnRcbPwsdRIk1YooQtGtMm9jsHkMbqyvdisZfGVf4vNU5FJjMxMaoykCINpLTnRABS+PczkAzHdWx7HACSGvTXjgYgyS5s8VtOiG7KtRVKPl2nzhjhk3ugUczLfoBn9/bhg799qupiW9dA4tfNsxXVAq/Hd6qtV4nxUw3Y0P0MBdRUmhVrIFFXntEzsqa2umU/wGCxgrRrRzXMFRkw6QwknZ3w3w9sx2lfuxfP7OnDH57YgytOnoUZLTUywDQFXlJQOAgTAWzJDxSRRGJIPLe3H49sO4S1jME1VPKxdHJDdA2mbL+PmjFKHMj4uLh3UycO9Bfw1K5eLJpYx84tTIwnClxoAl4bgSM0fnqHS2irFSU4P39kR9Vx9eSuXiy/5i94hjFFVKBEjLs9vSOJYInu4dMRk+PIqY2KiDYdsaqIttRAijUMqEyIjjUuAMnAQMqnXQUE2tE9XFVracP+AeWzYyNRYkN0dbIDA7FeQsZzsKd3BH957gDe9cvHE4yojdr+TfdjeovaypXOlQLhPb0j+NwtG3DZf69N/PbgQAHP7u2XQUR/oSJp3bLTVDROObBKmT/dTw4VK5IeTde4dvshWXtPpi8WySh4oa4//L2iY/ZIBpJgBAHACV+6G79auxPXP7YL7/7VE/jxg9sRBKGx6wwthqijj2mEbdzfD8e2cOMVx6NvuIzP37IhEv23kHadquUhdM8nN2axZm4rvvva5WitSyuA057eEQmy0VxCn9OuLejwzIkqXdhYsOg6luJDykEsou1HfkosCOJ7TRnXw9FA4u+0r/k/PgeYurBVtMWd61gKo+BwASQLqh5LoSy6IJL95blkN7SfPPSC1PfjRgEvTwCJEppQKe/QE1h6pnVOWx7DpbjlNX9H3/LTuA1392ARrmMdllaEY1toycdZajoGdWH6+SM7q/5WB2v4kCXWXRhtZ1ui/bsfhOgaULveVvwAD2xRy4G/eNtGfJ01iuDna8GSY3astutAPL5NpYk0VJqicdszVE4kcEZKPgaLZg0fAFKPjMYqH5PttWnMbKkRAJIfYkbkS3cdGsb533kQ8z9xm9yW/NnHz1sg//aOn69Doezj+chPB5qvT7k2Uq6N7sGSZPmYNAHJuJhzsoRNnLc+Z/FXthIE49JAIr/DS3ju29SJMAwxXPaRSzlwHUu+x3TvJjdm0ZCNx+NQsSKf8ZFTRVyjCz0nACStbJyzVPQx60SMSrJkCVuoaKia5keaDyWAxBlIDKhxLCGITX/TGUiA2hF6YoMYV/w+Z1OOcSFNCSPSntneOSiZ1ybmBr9H3Szhrl/elkgegOaXwWJFqSoYq0ut7NbL7iEBINSFLeXYaMh6KPuhEltvOjCAnd3Dcjzq7y8liA/H6PmPq4TNAL4AKmimM6A4ABmGoQRHBosVYxc2isUpXtHnkZynMZAQrwuJec93S/fzkqOn4O4PnmS8P1T2pzOQPMdOPE/PsfHg1afgo+fMF9enddHUzbUtrJzZbPQN1RomSA0kze9S0oGfy0vBXhpX+b/UTG1DTYwPlYHky4HqRxpIGU8wkEoGhoVuh0PXdyzR5WU05J4cggSQ0qoj4+f+QtewFFcjo0kpHb1wFBATcq4DHoeGSkzgTA3Cyn6IG5/YgxvW7a5a6tSvaSDx3/NsBbU21u3p3b3KxE3HufaWDcqiYcvBAWw+MJC4r+SXGiOHL0VXo4z5L9+6KnE83k7bxECihfasSASSO9s9vWIyDYIQQRAmOl49uasH/YWK/M2aOa3IphxjgEn74SVsJgfNgTg6Nxp3OniyeFK93JdulP0bj209OIgPXP8U+kbKeMOP1uKsr9+HjfsHsCZitAHAXzceSJSJ7O8X97M+52Ff3wh2RsALnc+h4ZLMzOzrK+APT+xBseLLci2yF7qGEIRQFhdFrdwFEBOpXs9N4+bp3X2ozbiY05bHoaESbn92P3756E4Z9On32g9CfOqm9bh1vRgftN0nblyPE750NwYKZRyIAtZdh0bw2T89J3+7+cBAYoFqYjDVZz0lUNvbZ2bAAUiUuJoYSCU/UBbK9z7fKTPmHEgp+0EiuH5CK5UyMZD0EjaykbJY1BJY8PyBARzzuTvRO1zCt+7ajP19Bdz7vNAX43pbJOxI2gkSSGJBJgXjiS5sZR8T6sX5ED3+kzetx7W3bFC248Hmne8/EX9612qsmtmUCGw4a0oCSFF5mx+EaIkYAwDwkd8/gw/d8DT+9NRe/OZvu3DTU3tw3Bfuwr6+EcUnHYzGx72bDuLC7z5oFJnf31dAW20ay6Y0YPWcFmzY3y8DYmIU6PZC15CkrDfmUvjpm4/BCXNa0VabVv1Tz4gMtmJx5xh40n08f+I8yPVsW2GVVKKSYCcqReLlLGS0QB6qMieafBtfEIeheWHamPOMDCQ92eHaKgOppPmmzgF1DjPS5jXdh6d3JwHsh7Z24bb1Qry3WjabAOY8A+zDUGTzL7ruIfwpEvF+grEO/TBMBMqnL2wHwJi+7B3lcUR/oZLouGcy/o4LHZY4vtA7CFaCANf/bRfW7VDLzOlaqu2XfxcEcQmbH4SKjwxC4Nt3b0mUblQz1xbXV00IulgJcPfzBzH96pvlvEjxEflCKv8E4k5IBHR0DxblOCO2UKHsK35cT2xNaxYaYMR85uM04zlYNrUBT+7qQckP5Puxu2ck4dvJ5526oB1vOn46AODW9fsx/xO3SRZOEKrPPOXYsoSN4pgtBwfxowe24xYmxk523b1b5b+/9dct+PQfn5WfySfoc5behYx8hA58/nXjAYRhiCCIE5qNuRQsC/jqHZvw+h+txe8e3wM/CNGQTUmGPxBrIX7wjHnKsams0LEtzGrNoyblJBoMjMVA4owuPSTSgYSkiLYaj+kaXkAMFNNxq5Xg2raFfEYHkNTYns/jNO8qJVOOpTC0aF8U009pFMLcnYNFWY5G8T/31b94NI7F91dhDgOiKcNAoSyTZ8OlihLTj9U1jwAhinl1AJJK2Og+8ERI2Q9x8fcfkoAo7465bschdEWA+eEYPZnximibjMe7Opinz6v8axOARGOTXjE9KZn2hL8jDSRYMWi1J6o8mFgfx2fFSAfPc2zJUtaN5seBQkUZSynHNnRhszChPovFE+M1hR4jNjOh7uVTG5FPu8aqHF3HjayaBpLOxBxPwvbFYC+Nq/xfak01KfQMl5Q6ZHMXNlYWUw5kcCEZSK4j2qNWxi5hq6bVYwKuXGIgjdJ9SjKQLHMJG3dSD2/rxq/W7lKCWKLM0wtHToICjyd39aKFORdewuZrE2SpEuC5KNCpllWWGkiGErZDQ6NnKOi8eEkHZUTueb5TAXpO+9p9OP0/70sE/eSQJjUKR7q3bwR9I2Xct6kTxbKPBRPq8ObjZ8jtf/vYbuX3+/sLiU44FHzObBUBHwcoKKuy6vN34dxvPZB4/psiijVR9XMpFznPTWijkJWDQClhM2nTECgWhqH8NwWsOhW1NQp89XFL5ZlZz8G89trEMXS75Zl9+N3juyWDqGe4DD8IsWxKA254+7EAROnEXSz4v/LXT2B/n7ju+qyHR7fFCw96bj1DJaU2e0f3ED5x43qc9fX7lQw/BSpcD8ZUwrand0TpPrW7J9ZteP7AAOa118ps59t+tg4f/cMzcltd4+WKXzyuAJ2UkXlwa1d07mUFdKDafgA4/T/vw+lfu1e5hyYNpIacp4zh0eQ8ShW1k6BtJwGkQknthHfbs/uZiLYj3/tSJUgE109rAJIJK++ozyT/GFl/oaxkzQ4OFPG7x/fgq3/ZhCt//QTuYQBSseKjWAnQVKMGZrL7WOQ3wjCUYE4Muopnc//mLjTkPNSkHPSOlHGgv4CN+wcSOmEEiH/5lUdgdlseSybXI+M5icDmV2t34rp7tuKBzV3ynj28rVtqabVqQVhzTQqvWD4JAxFAXCgH+P3je5R3mtgCXYMlPLGzN5HpA8ScQUB/bcbFYLRQSrk2PDcJIPUOl3DSV+6ROmuUtQOAttqMMp52945IbQYKFmkcTm8W/mz9nn7ct6lT3m+TuY4ln0kQhKIduxMxScJQMDy1FdjsNgG4D1fRjDIzkOKx62sMC7LmfFplGzEBdrr2SiRCrmogaezIftVXmliuo5U3kA+/9IeP4u0/Fxpo1dYitLjgXdFCxMkI8msfv3G9/D6Ikh5kZy5qx7wO4avpGeo6TGnXlswDHXwyijWzeZw6o5EVIx/xpduEvkv/SBkfv3E9fmZI/ugLAcWnadtRNtlPlLCFkg04HnMdoYFEh9Lfk1IlwC8i1tRTu3ujY4iYiuKh+R0xg5aeHc3zG/cPwA8CzO+oxYNXnwLXtjBS9hX2ql6eSaBQgfkqsoxnY9mUBnQNljBQqKAu66ExSqyQ0TMi0L+GsUx0gFbXhUq5VmIRu6VzEJ/983N45y9Ujb71e/pw/+YuXL5mJgBg56Fh/OLRHfJ6pIh2QWcgqcCtiYH0owe2483/8xhuW79fPm86/8ZcSsZID0Xz6LTmHDzHlu/xSLmC2W15XHDkJOXYg0XB/PaiUrMFE+oUBlLFD5SmHECSQZVigLA+Zi3LAg+3xtZASvqntEcAUjIpxRkd1KCA3mPHtpQSNkBNkFGihcf7nmMrCUBKotDYyWdctORT6BwoYn9fEbmUI9c/OZZUoQQZUF0DlLTgNh0YlOLzg0VfZS+NBSARA4mxjGMNJJGcT7mxbptJg+kbdwkmIr/ui657GLc/e8BY7vnPsroqABIf9/r8V1bWESpoZDpVKeUQzYFvPWEGjpvVLL93LAtp1xbzWBiVmEfH/NVa4eeIqQaIUrexmDp8/DaxONzEQCKfSXNSxcBAmtocN9G47NhpAMzJa/oZfwVd25LPVd+vfr/+3nLF/2v2bwDpX2jNNWn4QYi+kbIMtKqVsHUNFrGzexjFigCQHFsEJjEDSYho6wwL3arpPZiYS44tSspG67hBwBEF/3V6CVtFfdEe3d6tTIw6gJT2YiX/IAjx4JYurJ4dO6nBYkUG2kEYKvsvVgJsiMCd4XLynMusvKpiKGHrHR59giHjZWzdrCZ7PBpMdO35tIvGnIe9vSO4P+qsRtkV7nt0posfhEoW5rv3bJULSMlAitD+uoyLfb0FISA3UMSGff3KsyyUfalBQJmxbMpGJmIghWGyRE3QpClDY6aI0gJ5ONI5AOKgQWcgUUmCPu5p4sh6Dq59xeLEMXiwalkxk0Lv8NSST+Oo6U0yQ8bFiG96cq+8l/m0i0e3d6M242JCfSYW0R4uo4nRgzfsG8D9kZbHW3/6GNbt6MFwqSKz0rwu3lTC1jtcVrrPXXSd2qllXkctaqN34guvWIJXHzVFfsc1We6NAMvJjXFGhwJfEsIdKJYlo8pketvb/pFygkJen/VGbXOrA7W0gASEb9Cp3CNlX96XU+a3Yd2OHmyLFmUpx5YLjrIfJoLr5w8kS9j08TelMYdq1j9STvgy0m3qHS7L97BQCSTg11QTgzIh8zc0XouVIFHacPMz+2R786znoCGXQu9wGfdGIIiuEzZSCvCaY6biYvas066NYlnNKP/w/u344m0b8Zk/PStBK84M4OU9ADCrLY/6rIf+kbIE5m5Yt1sBzXXQQhe6BMS4Ij+dTwt9rrIfSgaSXn5K2mOU8eXZ0bZaFeTa0zMiO5actkCwV+iSp0UA0kXXPYTX/yhZcsjBEM4QoOdBXbCCULw7jja2yV9yzZiuwSJO+eo92N41VIWBpDIZTNnLlnxKKyWJdBXC2DcSg2tKE8vIlgN86664FEpnm5qSIqPFqabET7XNYwaSWsJGz65nqJRYMPlBqAizfufS5RJsl23mtVs4uy0v26W7jgp/mQA77gNCqImuUsXH1+7YJEtbH9/Zi5IfYNDQYl7fNY9B1H+LhbpjCRC/a0AFkPTuRLotjcAxQMxRQgMpmawCxLtHu+MZb9uKn8f8CbE/JSZCe10GkxqyWLezB5UgRDYlJAyynoORUqAwSfQxQ+8U+Q8+xjOeo8wnrm2hrTajsGYIeCDQNZdyJcvg2JnNWD27RW5LCU6ylOMkBmC1ErYf3LcN+bQr2U2AuH+/f2IPvnP3Fvk89XJq/pzLfvy8eGy241AU8wwWEwvnJsZQ2NYptpvRUiM0kAJiIPkSsPj6Jcvk9oPFSpREEc9u8aR6PLe3X8b2vazLL5metOEggw6o2palgJ3GLmxK6WyQeP6kt2diNXOwRZawRX+z7WQJW8HAbuH3mcYkWe8IxYVinzVpF621aXQOCAZSR10GCycIwJTGPzHy3n7iLNSknISmJ9nyaaSnNCBjwKHoeZD1jAEgkV4Vb5ihaCBFJVcU0wQh8LpVU3HCHDHmZ7bUSB9GY4A/w8MVVqbfjldE22RqCZvGQNLmLv4emPwcXRMBh3PaapWKCTtaLx7oL8CPnpsOmnUkGEijQxCc1d1YwwEkswYSELOeykGSgTQt6sI6v6MWL1s6EYB57RtXucS/z6Ucue7QY2KdsTUe1tiLwf4NIP0LjUpjntzVi1kfuwXX/21X1RK2oz93J9Z8+W5Jo3QsS2ZA064jS9hMAW0fWziZwCC9owCZ61jIuMkFArcEAyldXQMJSKLCpPlDrKqMSwwkHxv3D6BrsITVc1qVfcjgNFDbsu/pHZHfnfX1++Vi6BXffRCfvGm91lUpCdiNRnG9IOr2016XlgDScKmiOGgT7VM3HuBMbMhib29BTvJffuVS5dwAVcCW7ImdvRguVTBcquCH92+Tf58VZdSpzGhmax6VIFQCf3r+KcfGloOD8nwoSMx4TlS26BsD+oofjtqFDQA2HxzEN+7crNxPChr0chFil+ljjBbj2ZST6M4FCK0NMlqQAMkOTxTY3HvVSajLuAlK+TNR5rfih3h0+yEcPb0JKdeWgVjPUAmNNSkZGD+zp1eZeJ/d24fP/PE5CSpx48Ezp9tSOQiQbEU7r6MWb149AzddcTwuOWYqWmrjSZO/SgSY8RI9mlApQzZQqCid6HibVZP1F8pSF4asIecl6r256WVwSybFCygTA+nsb9yHN/2P0EI5f5mYwH/72C75vdTeqgQJAGnTgQGF0RCEYYJRd8Tkenz83AW4/0Mn41MvW6h812cAkJ6Onv/zBwbQX6hg0cQ6+EHcvYVTnjnjkcY9BThNNSkhKh+ECgutJu2iLuuhb6QkASTqaEJWLPuJtr9p10HJDxSAGgBec8xU7Okdke8Tf/1aNXBmdlsedRkPA8WK1HTb3jWEtdu7le04K0Afj4AYR+TX8xkXAwWRaXdtwZTQ55wnNXF1nrluq9MApN4RuLaN1bNb8IWLlijfTWtOgoGKiDbXQIoYI0Ac3LlR16IgIA0k1T/T/nuGSzj5K/fgl4/uxK3P7MO2ziH81/3bxlHCVg1ASis+osz28+i2Q5h+9c2RBpKNC5ZNwv+86WgcP7sZw6WKUraji6GbAKTRphwjC7fKDyQDmL2vQRjKhNSh4VKiq6Ufhsr4cx0bEyIGILFWdAbSnLZ8nDTSFg8mbTXuN/tHykrgTgwk3UyMMr27oIlVGUaaT7YNOA6VsJXkHBWGauLC1LHwvafPxVVnitImAjAHixW88xfrZDk5WakSgO8NiAEsujdz22rlI+NPbtnUBjy9uzfqhCe+ocTPYLGMrCeYQXpZ7YwWMeZ3dA9jW+egAnSmPQet+Zgh4Dq2XOCT0Zw+WPRlSRot3DKejXecNEtuSwlOMs+1FJDCsoCtnTGARGydPb0j+PPTe3HpyqmyMxrZJ25cjy9HHcUAkwYSZ+DEJUg620IcX+hT8TUuB5C2dw3BsoApTYKBRDpxI+UYQFo1sxl/eOdx4p4QMzO6Hwsn1mGo5OOFKElnSlDqZTj89dSFeh2to19SRDvJQNJZi1K/RpawJZNcQFTCpmggJZPD/N7TGOD3OeXaSgKpd7iMUiWQQvg5z0FrPo3OQdF9tr0ug/9+w9E4enoj604cIgwF87Upn6raRGZ+Rx2ynoMHt3TJMTdUrKDkx9c/GgNpUkMWT+zqURrDCJ2/GBgrRmsvzi5qrknL+e3MxR248tQ5AGKgm/uZw+kayW086wqdHQYI/8MJBTqAxRlsYRhqSVlDCZvW8EZf69mWBd8PcdOTe+EHodBA0o7JQUi6n6MZj5P4u2lbVsK30Rgk3SR9rZlybLRH8xMfl8bEf6j8D4CI5cjX6rHBWImFF6v9UwAky7LOsizrecuytliWdbXhe8uyrG9G3z9tWdby8f72xWz0Qjy8rRthCHzod09j88EkYFCs+HLSK1YEYGTbcYZHaiBVzCLaSz9zB1ZdexeApPAZff/EzmQrZse2lIDSZFY0gmjiqNaF7advPgZHTm3Atq4hZZJLlrDFQmwPbBELLp7VAuKJgFoxkul1+tQx7fGdvfjpwzvU9sIBlRXE56IzMvh5feis+Xjf6XOxfGqjBJC6tQ56cdvd6iywWBjPwsSGLPb0jMgJj7KXyqRueF7v/tUTWPjJ2/HR3z+jLDJmNKslbER158LOtL+UaytjrTMC27KeIzKZZd/IhuMlbOWKWQPpmj8/h/+8c5NkYQDVtbeonlwft7T4yXqOUVCUOjY05jylxJF3eALiSc91bMyfUJcACR+JytZ2HhrGts4hrJzRJDvwlCoBBooVNOZS+PlbVuKT5y3Egf6iEohs3D+A7VU6ydzx3AH5vAcLFal71V+oYMW0Rji2hYtXTFZ+M7e9FrmUi6VRhxIukkvj4r/u3yZL27jmDy3A6J3a0T0k9SiAGGDgC7V1Ow7h94+LMsn+kYoySQNAfTalvK96mYLOcFo0kQFIlkrlvub8RThr8QT5efGkesxsqYkp4yxjXfID9BcqStBTKAcKC8kPwgSN2bIsvOWEmZjSlJPi52T9hUqCnbBZy4AfH/kaAug4oFZhgDUBjJTtnBJltjjDChCgXUPWQ/dQCQ9s7pILD/7eFiq+kqkFiIHkKwHzO0+ahdmRSDHvZkjWopWwzW7NS2p716AoEcilHPx6bQzYubalsBwODiQBJKWELdIMGCmJjjQpx0po92zviu+pq4GI/JlMbsxid88wKkGAma01CaBYB8QAddHO+SuOY0mghlhinmPLEjZezjI1elYUAG/cP4DtXUP46B+ekUFoqYpv477dD5DQjMqlHNRmXMWfcQCWi1x7UZv3k+a1Ies52LBvIOEnOeilLwYta/QSNhO4NRYDiT+rIIgTDj1DJTyzpw+ObUngNwiSneomRv5obzQ+9QzwnPZa6Z88TQPppC/fnQCc+KK7b6QsfcW89toEQ4/MlCTTSZTVSth8EtG2LPQMl1Dy425kQRgqOib6uQKiBJCSG44tugA+uv0QbnlmP7546/PKttTGGlBBLM5AmtiQjdkF7F7NaqnBnp4RjJRjTcyMJ3zGQEG8r2nPTmhIUpOBb9y1GRdd95DCvku7tgLwphxLAEiDHEAqYrAokle5SC8r1jCz1fGjPfuUYyvCy7Nb80oC7vKfrkMYhti0fwBBCJy5qEPx/xMN5ck66CgYReLfZT+U9+wrd2zCB65/Kjov8TfbEufIF8ucxdk3UsbE+iwyHoloRwykcqDMa+QbB4oVlCuxLhhpsayPklYkkcCBmNEAMH14cT0tcX1aclbTQOovVHDil++Rn3uGSnJcXXvzhgSDl4NZjm2hJu3K4zmWlSiT4ttzpg6ZFzUxkMcfLuO9v3kCP3tkB1KuaGjQkk+ja6CEfb0jmNCQQWNNCifObUUx6vpHAEjatdFUk07oR5JNbMhibnte6ZI8FD0PMn2sWOw9O3FeKwrlQGicsuoEWcLGNJD4XN2Y8+QYy3kO3nf6XKFf6FOVRHy8wy1r4uN0LDN1MNOTOzobiD+rEFD0+Exd2HQGks5Ic2x1vSIYSOp+1KYR/pisLH6OXErCxK71ZKwfsYQ0jdbW2rQs0TaVjvOEBr2HHLBVGUgaO/AlUrKm2z8MIFmW5QD4DoCzASwE8BrLshZqm50NYE703+UArjuM375ojRZrvLuQ3kkk5dhKrXHJFyVs1F2mWAmQcR14rqDwVyujGhiFgURWqyHKjmUpC1iT0QRBwa0utEcBX23GxbIpDdjRPaTQbOmFliVskoEU4P7NXZjdlk/omnSzgObPT+9Tfs8txcoaAFWAr6wtBAGRiW7UHDEFLeQ4lk9txK5DI+gcKCYyGpStGY3JRG7HtixMashib2/c1p3K9/Syv2p245N7lc+NNR7Sri11K2ZGweLjrIvOvmgCTrk2nt8fL/QOyhI2B9mUg+GSb2SeVViWq+SHRsYc2SY2rqtpR9Bz04MhzkDS2RlAvLBvr8soGit6lzpOkdVbvNNxbCuuf186pUEI8vqhpFwTdfYIVp5A9vz+AeNCFxBt7295Zj/6RsrY1TOMJVHHOQB4xfJJePpTZ+CKk2crv6EuOW/+qksAACAASURBVGRpdu00GX7/vph1xgOHgYIojaIAhxgvv3jLSgWE5Vn79/zqSXzmT88hDEXJmA5CCBHt+BnrelTPaYyuue1qCRv5g7MWdeCyY6fj86+IWSYZz5Gto+n6+CK5f0RlRDm2hT8y9pbO5NGtWSvp+s7dW4yd5rjR/SfWXlNeZSARoEPvBommnzxPMMGGixXFX+dSDhpyHp7Y2Yu+kTLOWCTKtAhAqvgByn6YAEkp+NsZAYB/ed8aXHXmPEyKNARMwLLue+e05+Vi5cYn96Iu42H17BbFbwmx1/j96TSIlA5yBlL0/57hkihhMzBU+f7rsp6yQOMlbDNb89jTMxLpAcXj/HMXLsY5SzoSAvqCIRJ/5jGbeGfFfafy5VzKEWUfoZpN/vN7VuORj5wKNzr/zQyUlHo1vlnfjS94AwMDqT7rIe2q+lU82OSMPZ6RJsaZbu3MH5BODjcOwLTVphNdPHmCRd+eGwXPfHEUhqEEXIdKPp7a3Yc5bXmpe0HAHLd82kV9NtbN0b8XALk4RohQYSz2FyoKQ3T9nj7s6B6WC5X+QkU+41zaiZ5Rcv55anef9H38Wrgp56Ut2p2oCxuVW5OQdaAxkExTX9Zz5L5dW4X3dH1LwUDSdIMgQMFUFHe116Wl9gdfjE9trkEQAju7h+W4psTPQLGCfMZFxnOSJWxNcZfKnuGyEqtkPEdhXJoYSF+9YxMWf+p2bDk4KP0GLdwcx0KOa2hp98dzbSWJN39CnfL9nt4RbO0clEmCfNpVfMcrlqvJFsCggRTEvsQPQgXkuysSzuZJvNFK2ICYpejascbaSKmivCf5qHEMMZBI2J401l6IYh9i+fNj6OevCronF6kcQE9qIAVKHLXuBbVj8DHX3inj6719BTy5q1eJ31QNJEtJBptK2Pg7RPf8pHmtyt+4T+scKOCWZyI9o+inLbUxA2lyBD7XR+O9f6Qs/WjatdFck0qIkJNNacxiTnutEj8MlUQS1BQ/AiprZ01Uhvbo9kNyPisHccOfr/5lE4ZKotOxAiDVpGSCgOYrXk7NYycOPo+nxIl+O55tTQyklKZPmGAg8bkrVMEdEx5CvydQT4839PO0YCWAKP6xWD68znQNDMA0NXaiOUwmgTQR7dbatHx2/O90H3g5eQzox/sXDCSzb3mJ4kf/FAbSMQC2hGG4LQzDEoBfAzhf2+Z8AD8NhT0CoMGyrAnj/O2L1oieu3FfPywLWDGtUdFHAURWiTvhYjkuYQtCkRFNeyITXNa6sBlFKQ36AGRJRDmpYaIbOR3KnOqOjCikjm1hRksNhku+ooND2UiKrVzHhmtb6C+U8bcXDiXYR4AK0BDrqCWalLnDSrm2UprHgRRTZ5ye4VICDKAuShJAimqtP/2nZ/FjJkoMxBkOnZnEF/mBDF6EoNxAsYKuaHua3E1BcTU7Z0mH/HfGc9CSTzMGkghgeBtmYqQcGirhe/dulc9clrC5gvFTKFVhIDGQUs94ASqtlbNFuBAiN0+jxW46MIBfPrqzKgOJggG6p211GaX+W9dASikAUlKM27EtnDyvTX5uyHmSgdQTZQwpgF84sS4xUWzaP6BMbPokvbVzEL9btxsDhQo+eMZc+fcJ9RnUpF0ppk6ml5Dxa6d7zXVHeMa3v1DBf9y8AXdE4t73PN8J2xIthac256S4KgdR9vQKEff+EVGWpIMuDTlPAQjmaCDck9qiltgdQEyDv/XKE/DN1xwJ3TKuLQERQIx7vuDpGynLYNuxLayZ04Kbntgjv3/bz9YZS67IdDBs7fZDuOnJPVW2FmNNfx/4guqxHT2yPK0SCL2J363bjSMm18ts8+7eESU7lku5cnzWpBy87AjB3njZt4VuWSF6l4wlbJVAMrymNOVgWRYmNVTXeEprIPrstrySNc54thTRJZs/oVbxmZ2G1vGDxYpcJOUzsSYOlbCNlH0s/ORt+NnDL4h9sCBf12bgDIeZLTU4OFBEoewrwfVrV07Dd1+7IpG8KPtqyRQPWF3HirSOQsV30OKQd9Spy3gyKVGTcrCJ+Smuf2FkILFnayrhFQCSrYptB4GcVziAxH2F/uzIePLkQzc8nTgn5R7YFr74yiOU7y/5wSPy32EYjtmFjYN2fhgqpe/P7O7F0skN8p5SaaBuE6PECJBkocxtz8uxXiwHeNVRU/CW1TPk9/duihkEP3noBWQ9Bw98+BRccvQU9I2U5fFE9xw/scheNFGAEm/QNLP006TyoG//dbMCNgVMu4NAZGLN6RpIOvsKEBqCdI5OJKJNpidbSlwDiY4fCAZS3IUtg9roHeJPjoCN7qGSHNcSQCpUUJsR45DiMtsSvkzoJZnHAImiSzFa20JrPq0s1h7aKgDJ5/cPyLmHFlU629DEQFo+tTG+hqakLzvnmw/gC7duBIBE+fMrNbau51joZ/qhgJhDaAFZ0cZn73AZ3UMlJQbjItqAqnkHxJpRShc2reSYgJbBYjkS0RbfiRIuWyY5iE3HtVz0TqN8nOr3z9YYSBwAqM96ODRUVvyD3rGMg+gAIh1VxkBi52JbltKRkSeDTEZx1rdes1wCrp4T+8GGnIc7GTuIwNSmXEosxsO4sQzNGX0KgOQkwD1uU5pySnLLtqiELUiwewExthpZg5CO+izmtdfikW3drNFBoDyP/X1FpBwb2VR8DxtzKTlnkO/kiWtVhPnwltvkXsaDTdBY4+Y5tjJf6SV0enzPT2+0Lmz0TPT1ov4b24rLyeJjxNuU/OCwyvpq2NrCVJ5NWoqyK6cfKrIPbbVpWVHD3yy6D/SuA0xEm22nMJD8UEkImBhbLwX7ZwBIkwDsYp93R38bzzbj+e2L1hqjDj8HB4poyqWwZk5rItDJphwlo00i2nbk/CUDKXJausinbqNl7PXyM9HFZvRrIJ9BmRR9AUpsGtuy5OKF172TE+KZg0xUy1woB1KgjpspaF0SsUO4boZrWwrYtIfRX4eKPkZKvlrCNlRKLDqJkk+Ux0UT6+E5Fm5+eh9u0hhABCDx66tJOYqjlZNCVMIGANui7WMAycwi0+0T5y3EmYtiACnl2mjOp2T5QEPURYWXsOktiI+MArrOgaIcV7lIS8HELrp/c1fcrcLQhY1P8rrekMko8CAn/qXbnscnb1ovA18dQKLgoj4bMZBq4xp0x7YSGkt8YTqnLQkgLZ/aoICGNZEo6J0bDkhRZWKl5VJuYh8DxYpkV50wpwWzmWYFIFrWrt/Th/a6NI5gDKSOOvHsPcfGxmvOkn/XJ2W+sPTZwoQs68XblyoBfvrwC/LzcMnH/I465FKuFD8GVOo57X9Lp1hE60FaQ1btwsYnWSCZ5cyxoJMCigUT6owMwbTnSIBWXF+g+IFKEMrzsS3gwuWTlQ52XYNF3PGsGZgE4q5kfG5/irU5160+68mxRgt9DoBcd88W1GVcXLBsIip+iOsf241tXUN418mzpf7Y1oODir+uSTs4cmoDGnMevvbqZYp/uvLXT8gFeqKEzRMMpB3dw+ioy8jzmtdRi2Mj1tZMDQzibLWmmhQ66jIKoG/bltKFBBDPhrOZdDZRELG8aG4ggHio5MNj+ifDJR+fuEm02dYZSNxaWQnbrKjEthKEiUATQIKBJEq54/PjIRtl++/acCD2HSlHzl+lSmAsIcilXGXOpUVZqWJmt/D51VSWGwNIgTzXShCiNiPeQV4mzbOv6SpZcp19yxeFlgUcM72JfbZwXgRQAsBVZ87DfCZqv/PQcIKBRPfEMzCQSpVAjs99fQX0DJexZHJ9DCCFYWKRCwhwnOYgk8g9+XwhIm1hMWMhEZjTPVjETU/txUUrJqE+66GxJoXe4ZKcJ3JRXKS3Ej9qWiNMFiJUFlh+EGJr5yC+cscmZWEbRiVstm3JZ0Wgp9AJSfpjDshkdAYSu9/6eOIi2nQfgzDuwlabdlGTdkG75/vS4xw69kjJx2ChjHxazJukB3Xi3FbZNYyeMZ23rkNJ813Ktat2tRwp+9Kn08LN0QAkfWSkHBtXnjoHZ0YsTD3eBFRQRAeQprfUKCXf1DGNzxmFiFEsGENBAmDcfCDWfbRgyftN1qzNf6QZRZ1RARHT8vks5zlC60rTQAKgzLs0nng3KZ0Ry/2bnr/TRbS51tfc9jx2dA+NqlcKqPG/rnPJ2WGOHTOrAAEumFguZBRnZVOOZLnx6omvvWopTmR6jXSZPLlKyREFQJLsfDvxbLhNacopya3ajCdK2KoASHUZDw0ReAWIsb9yZpOSbNWTCCOlSkLXSQBIYpscZyBF6x6uY3W4ItqHw0ACkowgvXpF1+nRS9hUBpKphI0YSJT0Uu9rQgfIspT4+0dvPErZb7HsI3UY94Sza006d7GIdryO4ve/vS4ju/spnc+jd4b7VJOIdk1K1UDi66Px6FS9GO2fASCZ7pzuxaptM57fih1Y1uWWZT1mWdZjnZ2dpk3+z1najcGF1to0jmfdxsiynqNkM6WIdiQaWigHSEcaSAcHivgm6+JiCoD1Ejb+IumiaFTDP5rR9/Se6Z2AKOCzrLgtM++8QYE/L3HKeDY27h+Aa1tKiYs4J/P5ULtbXo5R8gMcGuQAUhx8v/3n67DoU7epXdhGygkGErWdtFmQNqs1WQoFxBTgb/41fgZN+ZSyOFIZSFl57WnXlhNFosa6irXXpZVgRdSJp2RAlfZsTGrMSoe/bEpDossSZQGpmwsdvxKERifN28qXDW0yRztfk3Hxxf5CGfdt6kQlCCUgWZN2pbA6EAcXFHi0MwbSgglJgGisErbVs1uViZAL5f3HzRvENbHAxVTG9tSuXkxvzuF/3nQMlkyqUwLEQ4MlPLevX3YXIePtTPkz1Gup+bnJDh9sPOlBth5ALpsqQKt8pF1T9lVx6veeJlhR9E7qQVp91sOFrF3xdDbJzm3PJ7KcfJFeDXymMrG0a8t3gK5P1w+LASQLpy9oT/ioOzccMB8Eon2851hK5mo04wDSD+8X7EI+vh/ZdgivXTUN9VkPA4UKvn7nJqyY1ojTF7ZjSmMWnmNha+eQ4q+zKRevPnoqnvjkGThzUYfUIAFEF0ASjtX1f1IR/f+O5/Zj2ZQYeEy5Nn751pVY+7FT8d7T5yq/4fu48Z3Hi25SvOQmCJUSFkB0Ixmt++QwlSZH95ADnCSiyy0IQgW014VX6zKuXMjPZH7UNQSSeuBfrARqcMB+ctaiDkxtyuE792yNy189R75PpUpgnDtq0sljAKI8xJSA4ZpHpixoQ85D2nNk2RwAKXSszy0c0KBnp4NcE7SS1p3dKsNy9ZwWfDliHekY3OtWTVO6ap345XsSAVc7excB9Z73FyrY0qlqhB0xuV7eR78KA6mN6eZwd/Sli46AbVuyVJveE+6jH49KPa9/bDdKlQBvPG46AOGXyn6I3uEyLEucZ8kPFIbxLVeeYAQlAAHMKL7UD/HLR1W5gDAUCR7bspTn0FaXkfvg45RCB75wy3qOjHlcLX7SGUvFip9ghBEDatnkBqyJyoHofvNtW/Np6fslAynlRLoxQZR4iRlIr105DZ84b6HcDhDxwLlHTMBXX7UUN7z9WJy1uEO5Hte2ZXymW4EBSLRwFAwkNaHBzbYtuI6Nc5YIHTydDakb3xfZJcfEnSqbalIIQpWRXij7sG1Lxsf6+NxycIAtzOP7TaYnQClh4tq8y6NaemPbFvIpFwNR1y/uE2vSbqwjNlyKGCz8HUuWsAng3zUwkFTGEAf+57bXYrjkJzol6saTm4Wyr/g43rDB0UvYrGQJGzelFCm6n55rSX/aVpvB9163IgHwcsa1iYFEgH06So7q9uM3Ho3XHzsN+bQrY6y3nTgzAu6EDINJxzWXdpRYNeM5WDmjWUkKCAHv+P4MR2Oe+8iGnCeBBAnMulVK2JiDHg/cEIu9j2NjmJOPHGDX96MKy4dqF7ZRNJC+/ZojccKclkSyMYEfQYz/P7zzODz32TNxyvx2Zb/j6cLGLcfiuF6DFAEBXMTQL/tqmdlrV02V7x53C9TpkeuJmkrYcmlXJm8FAz0JIOnx+Ivd/hkA0m4AU9jnyQD2jnOb8fwWABCG4Q/CMDwqDMOjWltbTZv8nzRasLXVZbB0SkNCwyDjqdoIUkTbEug2ffYcGzu6h9E1WMS5R4gJ2hTc6Qwkvu+8hmC7drKGVTf9a50CTPsn0eiUYysskQUd6sIaiIPp+RNqEwtGvcSHbHXEVHpP1AUBEA6KZ8N1Ab4gVDO6YZgsezl/2SRccfIsRR/qjEW8bCx+hXgJG92Xppq04iTJIdmWJWu+d3QPK8HtR85ZIMHEpWzxCAjGACBaoJ86v10JVlKOWvOcdh3FKf7mbavw1KfOkO2yAXGPaxhwJK5JbfVazUqRfgu3hirPR7cvvfII/ObyVTJ7ee0tG/GXZw/I8UJBYU3aUWiuDRHziMrG2uvSaIjeoaOmxdl4Mg7ONOfTCYDkjEXtSkBXk3YSVGM+Uf6/E2ZAt6GSj/pcCo5t4f2nz8P3L1shv9t5aBhbDg5injbOObNlNAE+EwOJv8NjTVikMUIgylCxIp/rQ1efIjULJICkayDlPHz65YtwzfmLAKgMJC6YLa9ljCwWAPzhiuPwrdccCc+xFcCZlx+R8RK2bMpJlLSOVsJmWRaaa9JIuza+femR+N07jkvQvHkGtD7nJb6fpS2gXnXUFLgRuHNwoIgPnzUfliUWRtOba7CtU2Mgac/Hc2x8i5Xz0bPQGSj0eahYwfvPUIEiyxLttZu0d437AmIacYHsih8mSiYXToyF5U1aEVT2qDOQxLVY0DtpXf6zdcqiRC9ho3P3HEspdzQFkvr5FCuBkl7i48t1bFy+Ziae2tUrWZa5lBO38fbNAFJWW6TSgq5UMTMwOcA5XK7OQBLnK74v+4K5ogNIHHig3/ASHyD5PuolumKbpEYO7VPPEutXROUmsmyJL4wt4GmNsTevo1b6qyAMjULSrbVpdA8WEzoRR88Q/llv+Z3SfNxDW7rw7N4+TGvOYXbE+CQ/cKC/AM8WwOWB/oJsvQ2Ie+9UKRMJw1ApiRwqVXDDut2J7QhQoLHi2JZ8zwKtUxEBQvy+51Iu5kSlNMfNalYWivp4qjCRZ0VE27bw1jUz8Z1LRa8ZSizxx2tZ8fsj2R9RCRsJxqfdWAOJ35Yc0538zqXLcdbiCThqepM8Dr3jrmNVBXmCMH5nKcvv2GoZTbXGGS9fOhE3v2c1zlzUoQB1kzXfZPJHHCSncc+TYoVyANuy4DmilFAHgbccHFRiMFEyGJ+DviieLkvYRLncjx/cjq7BUsJf5TNuxEBS9dxqUjGA1DtURkMu1oSjfXKjkjq9vEycL5QXeJDFZ/MipuFWrSkEGS2uBwoVGRMWyuoimMdyll7CZidFtE37B2JwhJew1Wc9ZFMOPneh2mmTz7/UwZHmjN7hMhPRdhJri7Rr4+T5bfjs+YsBiDXUQ1efgqvPmo+atIPBYjnBQDprUQf+6/VH4R0nzsLrI3AaEGNt5Uw1ftQZLGGIBADYWJOSQEyWaYJRHBsyDNWUJBnNJNA5zu0TDCRNA0mPMzkDUv/eFLrR3HDc7Bb87P+tTMyn+mfax5FTG6XPURhIhwkg8VhK71AKxPOKZCAxBtlfP3Ci7NQHqM04PnneQmy79hyZKABiJqDKQIrjiSBUO4DTZT189alY+7FTx31N/9ftnwEg/Q3AHMuyZliWlQJwCYA/atv8EcDro25sqwD0hWG4b5y/fVEbTViteQE0HDNDdWIZr0oJWzT5FSMGUk1a1LZ//7IVWBEFoab22zqAxD/rItq2lQSQdF0lPWjVF+hlBiA5hhKK+mgC4b+jrLA+YZj2TzapIYsXvnAuTlsQ69kUK4HSmc3UweFv2w8pn02tsK86c75CI73y1DlSa6G5Jo33RSyOgaJwaoWyL4Gu5pqUEiBLBpItwCqabNIay+aaaFLUx8NP3nQ0vve65fjRG49OtLi3LEsp0wvDmBaccmykXbE9ZV4WTqjDa46eKgNecq40QZpaJAPANy5ZhveeJoA6Xfh1vAyksxZ3YOXMZhl4dA4U8flI+wCIhdJ19kidZCDFwOvLl07ENy5ZhhWG8gV90uY05/96/VFYMKFOCTBSjp34DQ9y5nfU4aGrT5GfJzAtFUCUnBzFyko27h9AJQglUHLrlSfgG5csGzctOc3OjbqmdA+V0JJP4TeXr1KCmfqsp4CDlgVZAkrv9s3P7JML7IacJ0WNqdxQD6Cba9Ki89KRk/Dhs+YrbBh6B8hqWI04UJ0tOKE+i5ctFaU2M1vzuHjFZCyYUIeKn2w7zBlIABTB9PFYcz6FlGPjvCMmYsW0Rly+ZpbiQ+YwgMjU8S+fdvHVi5fKz/VZTwFReEZ1VmseWzsHFQaSKYvO7zFljPVAit7rS46ZatTuAuIS6Pg3NtZ+9FQ8yMZnXcbD914nFqJ+ECqAzo/fdDTaajMSxDIdh+YHeg+5f3QdW/Fbp8xvw99eUP2padHRVptG2nXQUZ+RQLupvExnIBXKvtaFTbVXrpiM1to0rrtnKwAxd9K4KVUCYwCvA3ykA1KtCxvP6I4YGJoNuRQDkMS2fhAYGUi8JOTYWc24YNnEhMaYHl/zrofESCHA2wQgme4hNypR0oFAALjk6KnK54wn5hAKov3AnKRqyacRhIJxoQrtit/RfEhzB/19enMOtRkX927qxIH+gvStQMwCPdBfgOtYoizWsROsU70rHlkYqoDEju5h9I2UlecfIowW8HHc01yTkv8OAnWcUnjFmUVp18ayKQ1Y+9FTcdGKycoz0edKanUtji1ML6kCYoaPPnqp5MLRRLQrgdC6ybAubHyf5OOqabIQk8FzRtfApDHjS8aVqvlkej8AEadQ8oH7D65FSNvpxs+H4sOLrntY/q1Q8SUAo3dhAkTXTYphBQNJTYI2JzSQSETbxlO7+/CZPz0HIFmORKVqQgPJUv5O/vXQcAmNuZR8jnUZTyknB8T5WJaVYBsByRK2QY2BBADbqjQr+eO7Vst/k08uVnxjCSog7p9SwmZZitajbnz+oscmACQxNiiG0ruFURzXkk/LZ9tg1EBSS9gc2zImkyc2ZGFZFlryQvyd2HhkCyfW4bSF7bj4qCnKeMu4Qj+UJ1wFg0Xdf8q1JRDtORZqUnHJKh2HayDx+3s4YAkQA7PjLY/S2b66BpJeYlb2AzRkPUxuzOLzFx0xZuw2Vgmefp4mvT19t38vA8lktC86T6GZKO5hSzT3UrzMXbEVlSzzhJbprcimHOn/RTOhpNRIfc5LdP99Mds/DCCFYVgB8C4AtwPYAOD6MAyftSzr7ZZlvT3a7BYA2wBsAfBDAO8c7bf/6Dn9XzKaBKnO/ngtw57VGEi8hI3aSmdcBx84fR5uePtxOGFOa9zGUBvgIRPFJBtmoto628e1rYRT0ONFHdXWaZSEgJOfMGW07vngSbjtvWvkZ2KZ8MXOsTObMbstb8gQiZeenAcPOm59Zh+uu3erZFmYMmJcHwgAVrGSua+whSM3x7ak9lB91sOVp83B6tktGCkJjY5iJZABb1NNSnG8cVZBOC3SgNEZCDNb87jz/WtwFmM7AQIw4a3Q9RKSL150BFbNbMKlK6di/oRamWHmvpxYP2vmtsK2rcT9oXGgi4EDYnI8bUG7nOx1xsh4GUg0mfGFS9dgUT7fbslAUscTjYmlU+qxdEoDlk1pQH3Ww/nLJikdnuS1ahPUwgkxa4bGKk38toVE2U+NBtIBUBY2FLiZgAIg1hWok2V2dTh/2fhl3njW/LN/fg73b+6EH4T40FnzsXJmszxuW20aT37ydAnqTG/OYdu152Byo3g/aDx+7A/rceeGA2irTSOXctFUk8KiiXVSHJUHaV9/9TJZ9leX8fCOk2Yp94Zrl/z4TUfj7qtOGrOOXjfHtvDli5fiiEn1sgsb9yHNEkCK7scYov66teTTyjvy/tPn4muvXiY/v/n4GRJke37/QEK42bXVOn5avJJx/zeztQY7uoeV0gITQ4wHvgcjBpW+gF8woRbz2mslOG0y3ReKNtwZJQgGYi2LShAo91YHXPUOe0AMOFAZ6cSGrPS5KcdW3q//fNUyPPrRU/Grt66Sehc6AwkQc10mKrumEiqTmGZae9bFcqBQyvXhlfEcRZA5l2IlbH5gZKfQ+0PjjEDzsh8q2We6Xg7A6GAnEHdhA2IAqRKI9u+teZ2BFD+Lk+a14euXHJnwV3QKbz1hBuqzHnb1JBlIND6TEhRWQkdKnwPp/ps0yq44ebbyd/KTdIqcYfT7dx4ntyOgrHOgqMQgdG15CVCIzzT2M55gGN67qRN7ewuKPho9n4MDRbi2hTcdPwNPf/pM/Pbt8XEB8zMBxLyr+46mmhSWa+9AEAqfRH6utTYtfQ+BS2QEHNECMuPZcrxRNps/Ex3MUNkNccZbX2TJYas94Li8Svw9k3IwUgokAynjOjJe436bQJtqizea/+laf3P5KrxyxeQEG5rGBoGIOkBbjYFk2gcg/BGV2XH787tX476rThbXyOIkUzKxUPYFIzSKj00AEv0pCJOsMu5TJ9TH2nPHzmrG6tktMeBtYiBFmjsKAyntSBCvd7iExhpPPsba6DdcRiGEYMDZtmXUQOKABGcgzWrNw7biEjXbEudP5zu5MSvnIgIadA0kbo5tKeW9tmWhsSalsKu5KQAS4tjuzccLf0xjSp8PKOHImbF1JgDJs5Vn05D1jK3ryTrqM9jfVxAMJOYDdZCFjOLvNXPj9VfFT2q8pSKd0LRroyGXgmVZKGvjX+jRJjWQTEmS0YwDneMxXaMq5drKfKknnEqVAJmoScHLl04chwbS6HCB/rXpvHVgKuWaL2751IbE32pSjkyGmczT/FqZNfmha5MMJANwumxKA373juOi0tgkAynl2Gr59hh6Yy8F+2cwkBCG4S1hGM4Nw3BWGIafMDZPjAAAIABJREFUi/72vTAMvxf9OwzD8Iro+yVhGD422m9fSiZL2KKg63WrpmmdtWwDA0lkVilYyngOpjbn5ATPWw1yK5SDBAA0xLJEun6A4yQZSNUyFmQ6oEQt5QnYMQFI01tqlOwssZLqGdvgV5evwp3vP1Fpqw0AZy+ZgKaalLE++6Gt3Vg8sR7ffe1y6cz0jGzZD7F4klgQzm3PK51B9K4f3GhCpIkn5YqyFprwaLJrrkkpjlcKOEbnQ1o4+sIVAGa31Y65YNYD/1Uzm/Hry4/FtRcugefEky6nssaim+K3lImhcj7SPVi/Jyk4fPSMRtSkXXlNekZ7LF0Dek40rvRJ6YyFgkFDZTW5RNDvIRuJL990xfFKm+u2uiTyr2dNrjxtjsw6u9qChp4Nn+gbDUEqBylJpFbXUtFtNAFKsgUTDOWcGrD4tp+tAwDZ9SsnMyohrEh81XSeJ85txQ8uWyFLPKWuhmUpGkc8SLvgyEmjMqVmtcYdlVbPbkFbbUZ5/0crzdPNiURKC2UfWc/B5WtmAkh2QdTfh7GyYhceOcnYvYfs7CUT8IPLjgIgQEm9bMKxLSVTn3Js6S90m9WaRyUIFZ0a07hQGEhRxzJPe4+Pm9WC29+3JsFa4aZnYHXART8H3qEIiLW0CHCaqAFPQFyGxfdNSQ7HVsdbXVa0Dj92VrM8pmncn3fERFwUteSmY5vENJMaSL7ahc2Q4eTlxdmUIwWIq4lo03lSOQyVlJgYSNRxjqyaiDbdE2LDkAYS70AHJJMtgBq4v/3EWTITSk0XdhpK2AiAMQX9OqNCB/xpQWcC8DrqM/jh64/ClZHPyEigPabx+6G4Nl56xwGkomHeOXFOK9572hx8+mWiLJbGftq1sWZuK/b1FbCnd0QRcKZ35mB/MTFn3P+hk3HPB08CAAV04haEyfcj6zmq6HMYAzh0ri35tKLzqDCQglD5v0mslz8Svdzb18qn6Dx1n0vb6E+XMua8C1uhLLqnurbKHuLHkeLXVXwnjUsa3ytnNuMrFy9V9O/477loODdTiadudC4fOmsezl82UZmLyBZPqpfMdZWBlJybi5VAPD+HNJBUFKZzoCh1s/wgSNzvxlwM8JzNEnXvOXUOfv6WlezeaWXuuRQO9heTItoZD3t6RvD5Wzegc6CoMJCo5IhLBYQRA822kotcy1Y1WTgDKZ92MaE+K0vYXrF8Mt62ZiauuWAxMp6NXMqV44UAmkI5MHYSBAQAVcsYSDTGztQSmmSmseQ6Fj5+7gJs+dzZ8h7T8yMQk/zPZDb3OLaF2rSrimi7jqKBVDcGgDShPhN1+AyUhX99ld9Q/P2J8xbi+rcdCyAW0ebjmnerJPCLAECaT4WI9j/OQIrF3sdn+nzCx+FNVxyfSISWfFWva+wubKOfiWVZuPeqk+LPhm30/Va7Jz958zGJv+VSLs5aPEGyxvXkHI1BzhKKy2sjUDO63mrL2BXTGpVuh3w7hyUTibxBdnjQ4IvH/ikA0r/t7zdyikR7y3iOFBkEoi5sjIZYjBhItg0MRxOI3gJYvkBaAGzqwMaFknW2h4mBZKL1c+PbT2/OyVbu9He9zt1kRGE1LT70rNP5yybisY+dpnVGiH93xcmzkUu5UlzbJPx2dFRy1JJPKx2uRrNaQxa1VAlkgE7n0KSVsBE5ku4HLdqqdeEZE0AaY1IyBVl6wLtkkqplM7stD9e28LQBQDpprgCbyFnrGV/eaQNI6hjQ4qIagES1/IeGSsh4dmJh86bjZ+C6KlkInYHkaJR6QAQsM1pjXQNAZRSJ38XHHK11LBAzkPR35w/vPA6fu3Cx/Fwt80X2zKfPwB/eeVzi78lW5iIgolIX+r6iBfH6W5pybZyxqAPnLxOlYzwTyIGIiQ1ZHDeruWqmEYjZQNmUg5ktedSkHGMgkOjKMYq5tgU/CDBU9JFNOfjI2fPxwIdPxuSmbHRMsS/d1x051dx1ieyCIyfhXafMUf6m7yObcnDfVSfja69aZuxSxUF0z7ExqUG0/OXPF4j1krjfTTnJ95cHvgcj0Has99hkGc9RFq3VWsGTr9JLmikYuvGK4/Hnd682jvWhIgXw8b6p/OTgQLEqYEnBqomBdM6SCfjIOQsAxJlnE4DhaQkMIaLNdTqS18o1tXKeK39frqKBREEoad9RSUnZT3aYTLm2AjKbRLRVDaSYgeTYSQaSqbyPTvEtq2fgw2fNU4RUJzVkjBpIrgSQEl/h8jUzFeYIX9T/9u3Hyve22trgxLmtcn6MGUgsCxuECaCYrvNAf0FNXNCxbAvvPW2uBOeJxZRybSU+6GAJAQLCTFpWU5pyUpz+rSfMwOTGbGJxGYSh0owBEONLB30IUKBjtOTTcmEVhOq1SgApekimkhoeD+njqeLHAs7xQiVMLEZMGkhArM9DPl+WsPmkgcQWh8q7ORYDSdy7Qa28SvcP9Hvyd44GSJveD93IT5w6vx2WZY2ZiBkLQCINJCF6HSoi7jQmNkUxaSUII/HgeBvXsdGQ9XDukgn45MuSbCia0zxtDM7rqMXWzkEMFX3lvubTDnqGy/j+vdvwQvewwtCmcmwuFSA1uCwrEWs7GgOpWPExpy2PP797NbIpB9NbclJf9P+tnoE3Hj8Dr105DRuvORuObcnxUi8BJLPOGyDGS42igWTcTJqphM2CJfUBuX3/shWy4sB1bCyZVJ9gw9ZlPfRrJWyTGrIyflwxrdGoeUnWUZ9FJQixv28EHgeQskmWDhAnu3IpV8agZT9AEKpJl7QTl4vSs5QAKivRlRpIXLPvMBlItN/xd2HTACQ3+Uy4lTQNIpWBlNx+LADMtixFI9N0zPECSKZ1D41HepbVADP6nndhpOPS/3V2sWqWwlIkcx1b+rh/M5CE/RtA+hcbTYI8O8mR3oznKEGYEM224Vhxy/JEO0WGwHKj8jW+qB9kJWz6AkRk39UXvtp79+DVp+CuD5yoOJ7lUxuZYKH4f7VSH24pLTvBTQ8aXNtOOOYnPnmG/DftQ880k83vqJOBn+fY46aZkvOie0aCdVRzTOfZVIWBRI6Mgi0TA4nvv5qZSg+4jQogRYsn27bwg8tW4JdvWRkd08HM1hps2Nuv/O4VyyfJVsDVGEjTW2pw2appUhtGBwEJ5JGBmAbYkeZA12BJKam89sIl+MFlKzCxIYuTNK0Espq0q2haVGPLpWUNuxrwmmyskjwKNnQtlSOnNuK4WTEdejQBSkBkI02Tpg4sfufS5fjEyxbKc69JC0H9q8+eDyC+pmrv6cyWGrzvtLn49qWxkHOD1o3kl29dVTXTCACXr5kltnVtLJpYh/YqrZ4PJ16iktz9fQW012ZgWRYmN+bk+8i7IHL7+LkL8PFzF4z/QDAHLVObc6hJu1IzjJ+X2llOBMW3v28NXrtymrLtzNYk+84URGU8B69bJfRlOiMGUjUq91jGwfJqvoLAzbK2gKXraq1NY/GkeqOvkCLfbN9csLV6ACj+PpZmFb17Jr9rWZay6C9W9BK25G+4z8imHLlNqRIYAU2ajwhAok6axUqQANw8rZTRVC4lurDFAFKx4kfsJ5OItoGBRMBFbRqWZUnAzIKFSQ1ZdLGyYgLL5DtiuL5sysHHzonfD76on9FSI2OF0cpNc9HcSQweOkc/EtFOdI5ryMCyhF4Tb2JRDSSlxZbeIpvP1dlUDJaOtpBxHRtnLupIBvdh0ne4jkFknIkYA+LdoDEUhGpXJs5AevVRU/BfbzgqcT5KCVt0TmdH3c44QCDbRgfJZ0G3V2fcxRpI5Btt0Zm34gt9Mo8DAIxFIcVmzc+cfIqu2VRNtF9nID149SmwLXOrbd10n6WzJHTj/sBUwlYs+1LDyg9Uhg2xhanxgh/EmlfczjtiYkJKgkwKYGvnvWBCHSpBiB3dQ8p3NVq828hEtCk2Wr8njrOIgWRZVqJawLYsxf8VywEacp4sJZ/KOmya/CmNFzruUMmXnWbJ6hhDnI+fsUAM1wAgheaG2jhzUYfCVP/Tu1fjzaz0GBDlVj3DJQYgCV/+0NWn4OGPnIKvXLwUHzxzXtXzoe6VPcNleG4c1+vx6K1XnoCvs5J2IPbzlSCMxOKTDKTajCuB8q9cvBRnLGyXzP2UY0kNJP6OH6aGttItcDymi2grnQINOymUfcUnj62BZPa7tGt9fjWNGX0X1ViQprUYzdUxgGS+XssSzT3KQSjLQHUAcdmUZImcej3i3nN/77JYsBKEShe78YJ8Lzb7N4D0L7ZZrXl4jqWUTnEGRNZzsLcv7jJRqgjRbJtlQBMMpCoaSJTp4OJ4wxorib/QjpUsYauG3E5qyEZ12PH2R7KsAv3d1FlDN9rWBI7oi5yxMvcUpNMiSg86jpneyNgwY3edS5wjMZAIQIrKDRdMqMMxM5pw9PQmVQNJIuLi81gMpLEApLG+10sYgHhS4789Y1EHjmNBUy5qS8vta69aJhdBMYCUpEBfc8FiyaLTA/TW2oys8QeSjpcmiUNDRQVsvHTlVKU8pZqpnRTM23zzNUfiylPnyIByggYgceCpqQrl+XfvOBZ//cCJmN2WRy7lGEuNqDwRGF8Jm8n0+3fawnZctioGLlzHxrbPn4vXHCMACRpr1YI3y7Jw5WlzZHcjIClsOZZ9+Kx52HrtOXAdGx87dwF+8qYk3Rg4vIyba4umAHt6RxQ9BPKFFJzo4/2IyQ04fWE7DsdGW4BmUw4+8/JF8rPIoI7vOuoysSg5ARnVwMn/uGAJpjXnpIi2iak0HuMlltUWX3QuekZbf/dMCzIqa+X7Jvbb/I5aJaDmNhoDiRs962rPhOtXFMu+MqpNT4VfE/fnY4loU+mKFNH2gwSDl89Hrm1XLWGTGkhlH2/40Vo8uasXjm0lxDVNz4tOn3wQZyDxEsNlUxrwtVct035rHqd8zuUaiDwgHg1Aihmr6rsYRAwkfeGQdh2012bw80d2SIAUqA5YkJ+f3ZpXEil6iQLN/WO9j55jJ8APoYGUZGrr/lWKaEfX1JJPsZI9VXyVA0htdWnMbE22vOf3lQDcd0eMSD9kItoy453UQKKP+iOaUC+6GcYl6eJaBguV6Nr4AjL+HY3jarHT/zthBt543HS8gXWpApLl3PT7S1dOxaqZTXj9cfG8ZFtmhp5uBBy011Uv1eXGgYopLGYmrT6hgSTGCF9AAoKxxe+J0LhJjv1rLliMS1eqAvKJ89AeEpWfB6F6X3VGuy6iDQBX/PJxmYjjXQD1BJhlqQvaQkVlO/ESQxOjk8oAsykbKcfG2u3dCQ1Qesaik526FhjN1C5sUQzyDxA02mozONBfZCXUMWuuWpkqN17+yucBfT6a1ZqXSVEyKlmvRAwkpdNx9O+vXrwMHzpLAFiLJ9XjB68/iok425GvUDWUxiuGTca7BY7HknPw6GuDQjlQwE4+fxhL2Kr43Wr+ybjtOBlIQDL21RlIJtFwfq7lSsCEyMXfO+oz+NO7VuM/LlDZ49xGK2GL2bfJ+OClaP8GkP7FdtK8Vjz8kVOVhS+fnPQgs1gJkHYEA4kyPNUYSPqCgXRleFaYl7UFQahMfnyhT3Y4JWxcCI32Y9IJSO4jOh/DofQJYKxgkiZpWkTpnd1OWdCulFNV60yiG+kZeBxA8gMZCLTk07j+bcdiekuNIk4bayCJY47FQDIFAtzGmiR04TyAZwyr/3YsIK1aCZv+vR60d9SlE5MGHyd0Pd2DpURZ2HhMLxMx2aSGLN53+txE22IyPumbNJAAYMW0JsxszSPjObj9vWvw+mOnJ7ZJu44MjE1sg/GY/nzHohHTeDmc4K0+Oz7hczJe4tGQSymBPLfDKWFzbPH+7O8vKKBLvMAVn006P2O9I7qNxdrTx/54fQIQs5DeeNx0vPCFc6uOH0DcO2KRen8nA4kDl9WyeZQFJ92hamY6VxJl5QB3XcbDne9fg89duERS+nWAlMbtWMApibxX8+N8bitUAmVgjzW8LAYEmEqfgLizi2VZqEm5o2sgaQEqLZD//O7VEtRtyMZd2LZ1DeGRbaIrnakLm8m43o74PzGQVKHZ162aJp8XbUun9/3LVijllXxOpk6hgDq3821etnSi0l1wXkctGnKezPjz+CIIQmPZ9+TGLHqGy1g6OS6PrsbuXTGtET+4bAU+eu4CZb7Q58RmjXFVzTzHUoSJATHvJhlIqsh4GMa6RCYR7TBUhdX9iJFkAiFMRqwousZKpFsHxHPy4WgguY6Nz124BK+OuuXRtVDJJI8dbSWmHJ2BlEu5+PTLFyXmRR1gprmoJZ/Gry8/VgFIbcsal4j2a46Zihe+cO64m29wm9Waj8v3Ih9XiFqTu7YF3w8VBlLKtTGLgXy0wD+cdT1tqs8h05tzjI0e73CWBio25Dy87cRZmFifkeXkQKw3FYbiGLaVZFDrXdjKvlpeNY0DSCYGUsRQSjkO0p6NtVoHYiAuw3RsS2r60Gey7Z8/J/E7UwnbP7K8bq/L4EB/Qeq/jhXn6sYBpBRjs4zFBAfiebTkCxF27vfp30sm1yvlWsrvo3Mt+2MzZkezgPn+8ZhJRDs+dnL7QsWX8zeZZKQaGUhVAKRo5/r8ajqmvs3hAEgmBhLvnMbHfE3axbauIQRBKJvjkC2ZXD+qNIiFGLzliVidgVSt4+dLyf6+Vc2/7Z9m1HKSm9Ixw8BMSUftiYcOUwOJxAM59Y9P8iEi5xf9jQfgcpuxRLTZ5vPaa5FLORgu+cYuSps/d7ZxH5YMopPH0p3kWAASLdzpuJwW/z9vOhonzm3Fpv0D0b7scZfdnDK/DeceMQEfjcoDUo5oWUoAEgfK3nPqHNy54SC2dMYtZMfLQBrLxloM60EgUL1rCrexM07mEjYyAth4EHv7e9cgn3GlpgbZ7995PL5w60a05FPyOVWCEPkx9BBM1jrOTKZuJ85tlYsdvnA06VroVg1A+f/s3XmcJFd14PtzI3Kt6qrqqt6q1XtLLbVarb3VktCCVhASDItBrAKzGJ4xYBnbGJuxeR94tuV5Nrafx2MPHmMbxtiDn43NYIwHmMczXjAw2PiBzSokkATaWlLv1VWZ8f6IuBE3IiMyIzIzIiOqft/PR6qurFwiM2O7J845V8QdID98dGnoANKg7zdqUAlbnKwZSGmlzeYTcfdZep0xMy38q3D6KnvM55F1dpNBWYvR58vyPs7etE4+e++RVCe8ZvnZMD2QRNymn5/+2v8rIsknqJal5EvvfEZPmWVUXAbSvV4AKbp8OoOtnpSBVE+XgXRg66yfvRrHPF70ZCCl+Fr8WdgSmmibJ7BTDdu/oNJ1HFnp6oGc+/eGsS+rWZYcPeVm18y0an4j/rl23Z958aP/8lBwf1vJgjclfL+LMP7FEyOgoN/rWaFGs8Fjuv4xxX1wtPzUbGRt9rWpGctiPt9vvDQobxVxj7n/bJSFm30k4jKQRNx94hfuf0J+4pnnyV2/+znvPSR/YTq71Py+WwkZSIOC6GYGwN998zH59Nce9WerNdUsK7YHkmUFx8ZN65r+Otd1wuckKx3H+PwStj3jPevjrj+VdKfrDw718ziOI9F4td9TJuYl7jy0w/+3+V6iGUjmd6SPKVkC4yIxGUh99nFKpZuFLc4v/cCFockxkrQbttS8yRd0dtxpbxZP27JkxcuQ02xLyb7N6+QrXmm+2wMpY2aId9foZ1ezLTlvcUb+5YGnQuvniy7fLlfsXpAbf/nTIuKuw+ctzsjf//TN8tCTp/z76UwbR9wApmPFzHiseo/r5muZJWxx66MOMOlS0WOne0sM9bmApZIDzMrLTjKbwpvLoYOBwx7TRNz+Z4+fOGOUUGc7F1yYarh9Sb1Z8XQm86DjkYgEs/h5PXTCGUiDl0N/Fme8DCYt42lKz4Q7ca7csyD/6AUC+zXRji9h68r0dGTiJKWkI71ZkCJ9StgSXiPuNaPHiv4BpPDfdEaqfo6ZVk0+fvd1cmKp07O+vvKqXfIrn/i6PHnyTKbzN3e54zOQanbQLqXTdeSb3rnRWkYAqYTME924k96mN5VkUg8kcxY284RHT8tupv6Zs7B1nUgGkkjPyUyWDKSabclF2+fks/ceMUrYgmVN2nm89to98vn7jsROdx7tqTHoIKVP7LfPt+Vz3w6fZOnAnd4p1O3epstJ2g1bfvNlQTPnZj1cwmYGhGq2JU8/b5N845FjQQ8k7zX7zcKWxqAAg1JKXnxoh1xvNLcedNLrLl//1x0UQNLlk3G9U+LKenQPn28/dsK/zez9ldaO+eRgTj/mrA9pMpDSL09b/u17RzNnyWjRWegG8UvYMkSQ0pxUDSPLebl58DczLaKzaMRmIGU8QUibxRXcP1sASSRdQNgMTmadocV8vcN7FmKvJpvM73jvxmm519jOtLgsgHsfde+X9H50VkVSBtKgdWvTTFP+7u03Jf7d3F9HeyAlDfze+ZwDfl8RvWokZSBpjuO4GY9eyZUSN4hT8yZHEAnva+t20KOkWbNlfbsu65o1mWnV/M/q7775uH//muU2ct0w3ZAN65qx/XLM96Sf+6q9G0RE5JqzN0ZmKgqWRX/GByOTIWgXnDUr52xeJ9985Hho0GgZfVayDKL159jt9k6Drr3o0HbZPt+WaxN6ySQx17NocEcHkAZnxwbHple+73P+7dEBSVwTbTeAY/mfx8aZpjx23F0nuk54Wviu4xgNpJOuzvfepl+z44g/+lrxA4a9PXmCJtr937f5Xmx78CxsWS9OJGUgxbGMDPmsdEZVGnXLktPS9bMT3FnY3ADHSjdooquXV/epEdGzsMUPlpPou8YdE85fnO0JICmlQuV55j7W3DfqTBvdA8sRCS27SHxZm5ntFMpAilm+bevb8vrr98ot52+WD37u/tj3p89Doxko0c/IbVIenPuZn8f/8byDcvH2Oblqb3KT60H0Z/bdJ9xJA7JmIFmWki1zTfnukVN+P52GbaV+Hh2YdHsg9Zaw9aNnFI1msWYtYdPff7/t/gOvvdIPPvb0BDLWjdgMpOVOz3psWSLSCYI0f3339fLMX/sbEUkOOOvn7gl897mvFjf7qqb3Z2+84Wx57iXb/O/BzECaatRi++r+0PV75Y8//1354neezHT+5i5jQhNtMwOp48i/fPcp4zGZXmLVIIBUQubJSNxVnEbNEtsKGmL2TD1tNIEzd2A6A8nMSjF7IjiRnaWo3ohx/+71vRvSZTvn5bP3HvFvT1PCtmNhSv7yLdfF/q03A2nw1UgRN8Pkz774YGj59HPp/csoV0ya3tUO3UQ7GtTTUe1oWupUoyabZ5p9U2t/7wevEFFuj4ioNMv8Sy+8KPS7Du70G3gPujrpl7AlXGXUg5mnnbNRvnD/EwOXUTPX5TQ9j6J++Olny9a5lrzzI1/J/FjNbB0WbRya1UsP7/T7IwyjZlty3z13yO63/2Wq+/sZSBleY9jgxSBZM5A0M8Cos3Sec5Gb7h+fgZQ1S6v/co2UgeQNUAbNnigSzvzKOpgzvf81hzNd7f/zN10jT55Y7rm9UbNkplXzgwytuiWPeAGVpCvAOoAcLZW99cAWOXpqeeTstmgAyfwqkr6VV1+zx/93qAdSzHrilydJuOeOUm4j1LqlRLeBNtP9zQFas2bJK6/eLbcdXBTLUrGDFL0cZ29aJ1vXtxJ7Y5kNm0VEDu9ZkK+++zZp1W2/xPxMJ9wQfPfGafmzNz5NLjgrfj/Tqtvy3990rZz/cx8PBZBqxoA0S78y/TF0HMef8SvqaWdvDE0ikJa53fQEkKZ0D6R0x6YvPfBk4nOLuN+JmeXkSFCOpvcBG9c1/dL/brSEzehxkiYDScT9zPX+ttPt+v1i9PPElcOl/WbM91KLrIfmqq/7rWUNvPf2QOpzAWqEDKRBNkw3/GOqPtf1s7q6QQ8hPUugZlsqlNm0ktBEux+/iXbMOnj+1pnYv5nrsZl1Ot2syTMv2CJ//ZWH/fNGvweSxPVAUj3HdfO1pps12bjODXjG7uss5WfMJ12w1J9n9Ly/p6zbViLGIcRcjrl2XV533d7Y509LT8xx/+MnpGH3TpSTxtbZthtAqrklqbPteuoLxHXLkuWO20MnawDJ74G30g0FIDKepqRqot2oWYl9CM2+itEG/CJeE+3oxEmRYPV5izOybX1bHnzyVHIJmygRiQt89943Swmb3qbXtYKZ8czniPbIM7XqtvzkM8+Tu//bP4cy5dLSpWtmCVuoB5Lj9Bxf1iICSCVkniAdO917oq9nYdONIqMn90GUtBs64dEnQuaO5oQxC1urbsfOxGYaNHVhdAf90sM7xZGgN02aJtr9RAMtaaPL/+7is6TTdeS2g4vya5/8hogEn4Ne5rTNcuM0apY4TlAiED1AK/GuKjm9VxU+8Nore2aHM924P37WMXeZs3+eQQZSnyuIAw7YOnCV1APpaWdvlM+942Z57NgZ+b8+9Y3Uy2auyz9y4zmpH6fNTdV7poTNytxm5kccAF+5d4Nc6WURFEFv+1kbWN60f3PmbIFBsvVAig8grZ9qyJfe+QyZ8YLe8T2Qsm23efZA2r84I3Vb+c20+zEzkEYJXrfqdqqAlTbbqif2Jtow3fCDDLs3TMtXvfLepCu315yzUe66ape8+ebwtnrulhn56duzzY4Xx8xIWVrphPerKdYvM6MnbpBv3hI9Ie10HWk2bb+k27yia64Tzbol7Ybt98Qw92FnzbXkoadO+9vlf37l5X23C7Pfjqa/W8tSsnV9S+5//GTPbDaX7ey/z2vVLVEqPLOWbameSR3SMINcnYQMpGGZ3287WsLmHSOjU6hH6UHJ337jsZ7bzZLEum31BKSDJsZu1sL6dj3Ul8rMCukYF+iSgjHRW80pxVe6Qf8dfV4V15OnXwmbKZSBZIVnmDO/I70eZ71wsD5hCvQ4llJ+ZoSImwE+Lv/rZ2/1tw+9HU5Fsq3cEqTwBdS6pUKTsHTNIbK6AAAgAElEQVS8DJMsvWn0XeMDSG5QKxpYM58/WhJ/56Ed8tdfedjPQHL8+zux2f7RzOLocuzaMCWPHV8auE226rYsTDf8MYGW1FQ/ej4YzHgVc+F5DBa9QN+9j57wmydnpYNQDduSmq2kVU8/3K15M6k5jhNqNJ3mON00yinN7yt7DyTvcSlDyPu2rJPr9m2Uz3j7vUE9kE4td3q+N/09x5VIZ56FLWa5o+tVdDbDz7ztRn/mTn0sSApmDsomS8rIHcSyxL8C25uB5L7msdMr8vWHj8nmmaZ/kW0tyufSM0ZinggcX+pNA27UrNDOqCcDyThBMbMpdAmbOQubzkB6y8375NXX7E7coWiDStiidixMyU/dtt9f3uhJYVbRgU895eBOKSUvuGx7KN1Rl7fp6RizZjKY9M5a97+IfidKedMAe7+HekUtzvT0wcqTbtjer7xk0Jhc7/jj1k//dWZamQcXowYYRWSo5tsmfdA/f+usXDZiMKpo+ntJmoUtyft+8IqeqXRHleWESZ+4bphu9Owj5tr1UJlpz2MzBpAG91CJudqa0pbZlnzmbTfJMw4Mzp4zs3OiJ1KTYmYZmA0qk07WGjVL3v28gz0zjI2LeSxc6TgDZ2GLMvc/cYN8cxr7aCr8SjfIWlIqMruS8VzRQcX8dF0u2j4nz790m1zo9VULZo6p990/RUvYos7yZiDqF/yPo5TqKYc1U/UzlbDpZfQCKOMMIJnbXjQouiHDLGwiIn/3zXAASanwoMpSvU20dQbQ/FRddm6YEstSxqQeTuh76RglbUmfX++sQ8FV7GgwSsQdt/RmIKnQzyT9eiCZz6m/v6wZSDXbkruu2iUb1w3uRWW+hS/93DPkk299eqbXGiQo63N/N4O/lnLP5Va64RIi27JCJWQrXhP4YUrY4tbB/VtnxbZU3+07egFUr+M6k9PxSurccrXex/frgSQSlLENurD67Iu2yhtvOLvn9qCJcvj2uEw628imy7ouDaIDSI+fOBNbopTGVi+ApIO2aRpoa3Xb8gOQZuZpmhK4YBbO8AX87D2QsgX3mzVb7vmBoNogvK/rvf+pMzEZSDEBRL0cibOwKf0agzOQkgKR2o6FKblkhzupjs6oTDq+DOqLNWz2s9lE29zgal4gUkTki995QrqO+Mu6VkvYynHWihDzYBh3ZblZs8ONtiMbkv79xNKKX64k4pawTTfsUHT55JmOTDdseeut50qrboej1tLbRHu5k70vjWnYXj/+4+v9A1zaQoreNXrnpdOcRykj0YOIo17GWHQQrJQSx2jCmbUeepz+/R3ny6+++GK5YndycGTQoODczW6mxecH9F7JemFq1PVDRAY2Cx5En3T++zvOz5TZUQY6oDrKFLrjkmVgqe97VkJpjxY3aMka+B10FTE6OM96crw410qVcr9+TBlI4/R8Y0pjs+lq1qun42LuR/UVYS3N12LeJ259fOHlO+TFh3bIj968L3SlW8+upb97JcHxwVLhQXg0C7RZs+Ujb7pWfvXFlwQDrJRByGv3uVmAZs86k+4PNszqMhUzsI3LiB3EnIVt3AEkczl6eyC5F1kG9zBzn+NLDzwVygRUSvVsZ9Hn0gGFu289V/74h64KLZNuzK2ZGS6DBldaw8seF3HPO/RHpweajuP0hIn07mhgBpJZwmZHZmEzHjzKuce7n3dQbjvoBsf79kDyB6Ju38q8j6OtRiQDyethY35fupG9pksQhylhi9tfz7Xr8qE3XC0vOZzcwym6reiAhG5072ZE6f5kMRlIkd+j2U77F2ekXbcHbiNvePrZoTKzLbNNefq5m/z9XXQ545ofTzVsf4FGOXeOs36q7j9n3EQwaegglO6BlKXXY922ZFnPwhZqoj34feoxyumVTugC/rA9kEJ9ZQfsa82/hteN3sctrXR71mP9Wub5i5mxGf+a3jEyxSoQXY/6lcG2/ONtfBLDoO9i2N6elpLQxAlazVL+jLaf/Zbb3/ASYwbptagcZ60IMU8E3vnsC3r+3jROQkR6gyq6UeBXv38snIF0wp0a3dwgjy+t+FOgioSvXOhaclN0ZresRs1ASnui+/dvv0n+9V3PTHXfZe/gnbXZmknPznD0VFIJm0vH38YZQLrnBRfKX/zINanvP9WoyfMv3d73sxw0KJibqsu152z0G7knP0+2XYw+cM0OOWuZyOgZSJ2cTopGldQ3xeQ30c57YVLIMsjVJ0aD3mO/LJK0BgV3oq8xbAP0QczyyFH2PeP0yqt3+//WGUhZG5iOk7kfPRO5eJHmWBCe1KH3/u2GLb/0wotkfroRutKtX0s/Rinl7+MtpfzB/KDPJrhCn+4zvGznvHz7F2+Xw3viG9DqAOswx4+4wLoOyGUpNw2ypLwAUk7Bxeg2oQf/gwZR5qDoKqN82FLhElg9UNd0ibltKVnXrPmZuuEMJPfzmmvX5dRyZ2AGUnRR614/F6W8fj0SBONEgibKJn2fQbu5Vi05A8ncRyr//fR/viT6+DqohE3EvQCaZ/BZP3M79L26A71Hji6Fzldrlgrtc1c6Xs+rIQKgSYPpy3fNZxq4xmcgKbGs+ABS9Lbocrzqabvlr370uswlZR9+4zXyB6857J+v9Zawhe9fs93PeFB507CUUn4AaNgStiADScnrrt0rr7hyV+rH1rwm7G55XvBZZOmBdHq5E5mFLWMASZewGQ8bdCEirll+9DlM0ffjB5CM+zv+RYak1/ReI3J73HYf3dT6nVvpsWL0MXqbTnvszcrMzDUvWNnePlUpdyy9bX3bz7xOW2a42pRrhAQRCQdZ5qbqctdV4R1fo2aFdujRDKS5dl12bZiSLz/4VDgD6cQZWdeshTbsk2dWpN2Ij7Ar6d3pDeqBNEhRg5FW3U6d+rrcHf0gqD+3R46eFqXiMpDcn/pEcZznVC85vFMu3jHeSHiaQfkdXmPjvs8zxBv9/VdfIR+/+/rMj9P6NddLozuG9WHcPveOm+Wvf2zwZ6IPyGXIQMpUFuMt97YBvTLG+Z0kZSn29kDK5+Rg3pjueFIZPv1sn9cBpMll4Zn70ZWOE1qv03xi5nc5aJ9mBlj8mdd0rw/j35YKypAGZVbowUeWIGe/dUHPxDZM1k875njYyVgmYb52pytjz0AyRT+HDf4sbOkykERErj7bDCApefNN58jNXk9B9/wm/Ni4njhBDyQ3gLQw3ZCXHN4hJ890/M8vuQdS5Ip7LSj5MYMbfgCpXw+kAWt8q2EGjKxQQMlcPP3+spY5a/oqfL+sSf16aSZNGYdoCdtN+zfLg0+e8lsKiLjHRrMFwqll92LfoJ5aJn3PUfplmuIzkNyyyfgeSOHfo6XPzZotuzdOZ14Ovf7q/VX02B13TJxq2gPLm0YRBJCGzEDyAkjNmiV3XrFDbjmwJfVjG7bll6CFmminOP/Qgdu0s4YmiQsgDroQYX5N0Rm140Tfj/7VPG/Xq2HSuXzS8Sru1kElbCa/B1JCG5U0M90OQ0kQOIpmIOngtIjIRdvnMpclrjblGSHBF+1V0Jv2Gilhi9mQDmydla99/1ioBvfo6RUvAym43/GljkzVzQyk+JpYzQxIDWMcA6Vv/+LtIz+HSZfl6ff+sit3yj0vuDDTc+gTw3+493E5b8tMzCxswVVb8/eySrN8tx7YMjBzwh7ixOKG8zYPLGXqZ9R1zG8yXqLvaPNMK1Uqd3BCMPkIUpZ1PHUG0phOVD/4Q1fKxxJmeoy+Rl4DZF2jX5bsoygdzJtkBpJ5bFvudEMn1WlWr3D6f//3YZZ46RNHvS5YlgpK2Kz0jTxrdhAwGAc9OBxmUBWXgXRgq9uj6UDCDG5xzFnY8gwgRflNtFP2QBIR2WX08VLiZtjpMkGR3gGN7kFj8o/dXTdoZiklU/WanFnpyvKKE/s8wfPHL5vZwFwkuKoeNwub/n1gCVukB5K57ZjrS5BR1f/5kuhgjdlUPkofg/MuXdOfTcNoTm4pJbdduNiTXVGzVOh7+u6RUyISBBrS0N9B1gsZf/tTN8pn3nZjz+368wkCSG4Jo+21PIgalIE0LP3ZRX9qPc2PbUumGzX/LCOPEuzNs2756fSQPZB2bZiWRs2STSkmtIhamG7I4yeWpBttop2pB1JnTD2QjGPYoHMF48/mciedi0UDkNFZ2ETEL1lNuiD/Wq93ZvRCU9xL9pZCJr8fPwMpoQomrwtbSgVnz+bWpo/lepvdu2m6sGNfWTELWwlF0/qiJ5+NmhXaIcSdxJ61vi2f/tqjoasYna4j0007tGGfPLMS6sXROwtb+HmHmRJx3MZ9tV6XsOnP+Reeny14JBIcQL/31Gl5RsyVDr3Eeuc3Qr/uQqTZMc6163Ldvk3yP7/6SPLzlCgIk1YwtfWEF2QI+gSjDBlIw/RAGpSB1C/AdHh3fNlPnH5TjEcDDXlcXRUxMpBKViqp6c96kgEkc1C83OlGmmgP/l7Mk88sGUiaXhdqlvL7NbglbF4AacAAWR8Xhgmkx7li97x86A1Xy6VDZJzG9UC646Ktcv7Wp8veTetSP48+99CzvBZ1Ej3TrEnd7u05FWUOZs3vX//b72ulVHhg5UhsT5yg5MttumxbQRDl2NJy6DmjouuoH0BSyp9GXkSk412Ycxyn57iT9hAanXXNHGCZM++aGVXD0MGovk20vZ95ZQn4r+O9kG1b0rAtOdXtuH2XWnW56bzN8vGvfN+/r96P71yYku8cOSn3PX5CRIJMy3SvF87USSvpNfS+9bQxm62l3O8ozYQ1/XrIZGFHto2kIKZWs5VMNWz/PCOPLN1RM5AWphvy92+/SRamBvdD7XntuZb803eelG5XQk20s/RAWloJX/Aw90VptumgP11w26DPOVTCZmYgJTyspwdSTADxXf/uAnnrrecmth/5sVvPlR+79dye2+MzkPq/vknvz6JjiBV/9vGcMpCU8veN5j4y+OyDMuZoM/+1ppxnrgiJnnw2jQBSM6HB6eJsS04td+SJE8uh29dFeiCdWFoJZTzVIzud3hK20TKQymhlDCVL5s7s8J7eadv1jllfdSx7zWzawM/dt+yTt3oHj7iHVDEIow/cVby6oNfhEsSPMmUg6RPyQRlIM626fOsXejMQP/+OW+T9rz2cbQET9Kbr57MSTzVsadhWqUolTdPNWqiZ6SSEA0iRErYUq5e5Hxt08h13hdUvQVNGBpJS/iyVAzOQIgOzUSml5PCehaEuoiRNLpAleCQS7GPe+qEvpcpA+sBrD8t777o802vEUUrJpnXNFFlf7vK063ZoH6T/qY/FSiK9PsSJzQDSwaKjp1fcgJkKZm87ftotg0r6DKJfU8Moaex0HT9DQZ9WxQWwggykwZlXen11eyAF37cZTNLPElcik4b+PPqXsHkZSAWVv9aMDEH9OT3v0vgS+795242ybX1bHnrSzUDaPuCihUl/duPaZ/vZKkYGkqXc7LG4GW7/+PVXya3GBcrxZyDpDLn4v2sXbpuTi3esl//zhRfJ9vl2LudKOjNs3ZA9kERENq5rDtXjastsS75/9LR0nEgT7RSfd9Poa+VkzJg16WIP82GDS9iMAFJkQqQ4ybOwGa9pW0PNEh3fAyk+oB5HB+KSZgLP67zEUsEFWHMXqT8bnUQx164n9n9aK8hAqoDoYL5ZC9J1k1KEt3g7X32Q1KYjPZBOLHVCkeWeWdgSNt4qe8vN++TsTUGduF/CNsosbMZjr9iTPLtZ0HRz6JcqhP7e67bqm3V20fb1ctH29fKyK3f6M4CZ8hp8D/LRN18buuqahT7IVTF7ym+iXYIUpCzr+I3nbZafum2/HNg6uJQm7nmHSVNPEr26nGePl7kJB2jinLN5nXzzkeMiIt7gYHLL1+rJQMpYwmYs+qAtIq5Zq852sUID1GFK2Cb/HY86gYW2fb4t29a35cEnT8mDT54aeIX/un3xM8oN41fuvMQvbUmiByWz7XC5vh5EBRlI4X2847gXeKLr1fb5KbEtJd9+7LjXo0j5gc1jAwNI4dv9Hki2JZ1uEBDVGUhxPZhU5Gc/rboty50Vv+FrHP9i1rBNtL1Aa7/zJf1xJC3DuOjPxDZLTL0bbzhvs+zdOC0PPXVKTi93ewaDbrAwWwmbNq6yY52h9e6P/qu87PBO6Xbd9fK8LTPy/s/e33P/C86ak5979gH5xL8+7C3HeD5fM9NSJC4DKXz/X3xBMF38iw7tGMsyRG3xMpDiMifztmW25ffBMz/jNFkvevYwNwMpuH3YHkjm/mBQNrT5V3NZ02Yg6f3hMEG3nmWJu6AcDSD1+Tz1Pjb6mOUMGUi/+6pD8p0jJwfez6QkaGBvnm/obUMnUcy1G0MH4VcLAkgV0K+ELWkj0umfDz0VDiCti/RAOrUcCSANyEBaHkMA6WNvuW7owf04vDWSbvnyK3fJn33xQbnl/M1DP6c+edmzcdrvzG/SH2Mn5qBQRsEAyT0hHSTpCsWkgjAHt80N/djfesXl8l8/e7+cnfHKfBnUSpSBlCXwsn6qIT98w9mp7pv3thNd7jx7FM1P1UeemGDcPvzGp8lRb2B811W75MwEl6+nhC3URHvw92Iev46eWu5zz/gMJHNa64ZtzsIW7B/7v774j5+0YXuJRCml5Ndfcom88Lf/Qe599IRs2jO+4K2IyPtfc9gfvEWZTbGT6O11plUP7SuC70Kf46jQ3/Usa9HvqlGzZNfClNz76An/4p3OwtFZIknHuejXrgejlgpPM68zkJyYx2Qpk2jXbTl2ekVqtkpcN/XzDDv20b2o+s2UWlQPJP06bolp8Nnq1/7Ujz9d3vHnX5YP/uN3wv1MvA9561w7UxBm2B5ISczz9//na4+II26A8sLtc4nbgLl+jnLRU8Rd19yZ6MLPHQ0gTKJnZ5CBNIkAUrBPq2csYTMzkMwL7lkPAXr7HLaELVpNIiLyc88+IO/66L/6t0ffj5+lOYbvO+48Lcu5lV/CFvnIOxl6IN18fvrG6ZoyMpBCTbS9BdFj4Ll2XZ46dSbz868mBJAqIHoFuFmzjSs88RuRDiA9+ERvACl64m2epNdDGUi9Ee9xlLBladhZhANnzcq/vfu2kZ5Dn7wk9WEJGnFWIwPJ8gNIlhxfGv55xtX7o0h7Nk7Lzz77wKQXYyj1EvVAGsdVrEmIZovkOfhfP9WQp072D2wUbaZVlxlvtqIXX7FzosvSCs2MFl6pU5WwGd/d0dP9P+e4DCRzwG9mOOiAwaAeL3oZy7AlTI1QChK138gUHPf2cf25o2Us6YDsbCt8scwygg0i+gJZ8HdH4ptYi7gNU+999IScuzgjthWUsB3zAkhJ+7rorXU/I01Jp9s1StiCHkjRx2RZh/Ry1SwrMftHn/8Nm6V66Y718sEfulIu25mcaa13oUXNwhbOQAo+KaWMs93IlNwig3vuRflZbGMKIPUGMN118sI+F8DM7W3UHki//KKL5Vc/+XU/e1yvP0tGT6boaxZFj2EmE0AKLgKbzeJT9UDSGUjLkR5IQ2YgiQRBjUHrnbKC+4eqSbzXfs21e2TPxml59e9/XkSSJ00ax4XfuGeIfgb9SgKTMpD8Jtp5zcKmVNBEO6aELchAqssx75yi7AkBeZl8XjUGigZxmnVrYAq9TvN+ILaELXzfqYQMJJGYBmaroIQtD3Ntd8CVdIVUf4p+E+2S73D09z5qeU0Vy8CqTJ8IlqGErarffVE9kERErtq7QS7blTwQW+taxv5npdsNrddp9qFLy8EFD11ulCQ2A8nvWSOhAapeJQZnIHkXDia/OY4tA0nEHdTt3uA2Bi5DdpVJf89ujwozmOD+1MurJLzsXa+Jdtxqddb6tnz/6Gn/73pd0T2QkjIDknp+uD2QggtKwSxscT2Q9PIP/pz1oCvaA8l0nTcL3U37h8u4VkrJ087e2Hd5zCygItQsyz93jS6Wn3Fl3Ka/9yz9j8znymOVf/z4GS+AqGT3hunEwElSlskwXnDZdvnM227yA6Abpt3ssiciFzUmsY1vn2/Lzz//oDz7oq2Fv/aiEUAKNdFO8XnXvBkBT690Ij37sn2GfrWCBOOHoZtoG/cJBSAj5/f68eP4uuNL2MK/91t/dYCoZyZw7wJBHjP/ibiflT7PMIN4+rPXx/K5qXrpx3F5IwOpAnpK2OzBPZBadVsWphs9GUjTzZqcjDTnM68S9exQEjbeSXv5lTvlyRJdud+9cVr+9Ievlkt3xA8G9X4mbmrOMvJn5RjxClcJWn+sKcEMOxNeECn/Op6kqB5IIr3ltAgzy6uXO+GeEmlWrydOBinmg0rY4gIsOnhoK2MWNiuYvWtgBpL30ylBUenUmHogaedvnZX7Hj9ZugDS4b0Lsn9xRt522/7Q+YoewJnLGxrUOW5Porj91vqphhw9vSwrna7bRLuuS9jcdSox2zJyc9PvgeRmIHUjA5Vut/f1ddZLmvW96Zd9qMTB5sFtc3LfPXcMfrIRpN0+RmUGBeMykETiS139ANKASRt6Xs/7mcfx9dFjS+76Z7nr0wVnzco/fvtIz/3M73XcEzDoVgTmflNkMrNMKaXk5VfuKv6FJdxTMchCTZ951qpZsrTcHamELe6iQ9oeSGbGrP5dC5VARp7PDyCNowdSn+1O6/d+BmUg5dVfzbLit+/oss+16/74plxHwOIwvKuAu67eJQvTQaPKZs3yTwb7bURbZls9TbTbdbvnYJDUA0mUislAcq/o/vpLLpF/+OmbMr2Pcfr5518ov/nyyyb2+nEu37WQuOPVO0F9QCn72Dpooj3aLqIMzWPXEn3C/uyLi79qF5X3V//Sw/k07yzbgHgtC/VAWnEyD9zO3TLj//vooAykmBKvhle+YNuREraUTbSlRAHduAyrUeiG93lM4T2K2VZdPn739XL+1tnQcTY6Y060hE1nIMW9nfXtujiOm5kRKmHLnIEUlIi4PZDc23WgKy4DKssgpV0PAlSTLKvQL11cBpKxfUY2ybieT/r72j4/lel13nbbflFKQufjo/rdVx0SEZFHjp0OZaBdtD2+jM3KMYC0wetvFb04W9Vs4mG16rbMT7lVBbqtR5Zs/GbdltMrnZFK2PxsW6PnXtpZ2JTE90ASCZ/fRI9f4+2BFLN8MckQSfQ+Nrosutw3TQ+kYZhNtLtGFE9/njqDc7phr9nSNY0MpJL6rZdfJg942UNTjZr8hx+4SF73/i9Iw7ZEKeWfDPbbiBZnm/Jv3zsauq1uq56T2VAPpEjaY1IG0sZ1Tdk6l+3qDYxZ2Ep20h3lB5BGjAKU/G2uOq26LV/82Vv7NjgtSp6BmDyvoMedpO1YaMsPPm1Pbq+JeLoXk4jImcgsbGmctzgjX333bfLWD/2zvOH6/k3aB2YgmSVsKZtoBxlIk2f2eHruJfFTnGehexmWOdPQXLa4zBTzNkccOX56JTbQNj/troePH1+SRs0Ommif7t9EO3pruITN8QcqulzFceL2mzryNfhzbvsZSO7r/NqLL5lIz0m/hC2nQZ7mZyDZyg/O9X7PLrP8ddgStudduk2ed+m24RY2wc3nb5GD22blkWNLoayTpIlAwiVI4932NiRkIK3FiypbZltuwFgpbxKF9OfCOgPJHGtlzkDSF5slfQmbMnYVzUg/W81OEYAcx/cd9wxJJb1xWkY2pcnvgZTT7LWWCo7XcWWv773rkDx2fElUTILFWjP5UQZiPevCcAZB9Iqnro/utxHFTU8alzIY6oFkPN+mmWbMxutGf8t80lhGOlLdNeqay0x/v/URT1DWeoR+EsZ5dXQUVd1HxO0jP/O2yWVbrmXnblknv/PKQ/KBz94vR04sDZXJ06rb8p9efvnA+8VlINWMQak5C9ugWVA1fxMoQQqSDoxcuG1Ofv0ll478fDowMWqZc57MWHC/XjgiIieXOnJsacXvH2laP+XuUx8/cUa2z7f9cybdRDtpwJU0bXVPAMnogVTvmQHL+0eKdShoou0+aNzBjrSCSV5yLmHTTa0tJQ0vWBU959C/h2dhc5crawZSXuanGvLUqWVvFj53eZMaaZuD1rFnIHnnDtFVrewXPPOwebYlX/3+MVFexmkzQzZds27LqeVOpBF2ts9wmBI2/7VEhfdJCRlI0awq/ZpjCSDFPEU04NJvFsE9G6fl7E3Tcs7m8GzIOokhrwwkUUo+/bVH5Z++80RsD6R2w5YdC+5+w9+/r73NQ0QoYasMf1Ys74A87QWQ+p1SmDMJaHFX11uhDCT3dX7ymefJyw7v7NnglzvVmEWsbPTnpVPWyz641ucllKBhWGVfx5OUrSRnLVNKya0HtshU3XZL2Iy/jTsmMxUzQNAZmGaPFXdA4f59UI+XMjXR1kGPcQ0GF2dbMj9VL/UxIjojl0h4emxzF/X9o6dFRGTLTO950/xUUNpjq6BBtZ+BlBRAinw0jUgGUidVE+3eAEiSpKv2RdPLXOgsbEavGpPeRs39um0pUSr+IusktOu2nDrTEccoody9YVp+4LLtPfc116lxB5Baft+ZyGtW9Fg+ikUvkKz7iWXKQKrbcrqnB1LWAFLQ7kI/dNC+Vt9v+3w7dN9QD6SERtsiImdW3Nn3xrHdxvVA6m2infyZbFzXlE/9+A2yZ+N06Hb9mY46wU8SvUR/8r8eiJ2FzbTWTxXJQKoIf1YsW2cguRv4cqeb+JitMQfHuA3WTNnWV1Sfe8lZbrPQyDaqpzCc9AlK1ehPq+NncE1uWdLQ65teXyYxEwaqrar7iKou92pWs5V7rDPO6MbdmLpmW9KsWbK00jVuc9eFaJPetCU6QQnb5CNIOoA0roQhpZS858WXyKZ1vRk7ZWFuytHN2u2BZGQgnXEHT3EX3ta3g1JKy1LSrFliKZFjXhPt5H1G+Ha9DtUstweSHiTq2QIdicugcX92U0QhzVnYJkm/h7x7IJkD62ZCE+233LRPlCi584qgZ17NVrI42/H3lSsAACAASURBVMptEJrVdLMmJ86sSM2u+5+dZSl5xx3ny59+8YHQfc3AwLgDSCIiv/2Ky+WczeFB+1os1dH7AcsrYctSMtWuW3J6uRO6cJC9ibauVlBeMMYZmIHUrNnyn15+mVy+az40Y3ZiCVvkPekEgbFkDsYsapYeSEluvWCL/OW/fC+3bVcv4hMnzvhN5UXitzW9ra69rcNFAKki/GmDvQOyzkDq9DmpSJuB1G4Et+3eOC3zU3U/Zbu3ibaOiq/VTWY4esep431l//x0D4W6bcm3fuH2kQJer7x6l9w45JTBqK6qnnSWOaNirWrYlpyJzMKWR1XYdLMmSytB/49gBh6zx0pvRnASfb8yZCDpc4ZxBkhvPK/c+3XzOBtk8vT2wjFtiSlh0xlI+nl0H8qBGUgJV9xty23U6l1Pkk/+28PyD996XLpOcvZHmlXIDyDlNMV1WsWVsLnCAd7wfaabNXn7s/aHbjuwdTb2/HhS2g03A2m2Ve8b9IzelsdU5rcdXOx9zTV4SPQDSDoDKUsAqeGWsDkjNNEOHTNiMpDuvmVf7ONu99qfPOxlVIqE94OhEraeDCR3hzSOwG/cu43uJ4cJgL7nzovlZ+84kNuFPv1ZHTlxJrZvmmmtX2skgFQR0QykNAGktD2Q2vVgNbhu3yb5p597RvC6CQ3M+m2877nzYtkckwa+lvkZSE41SgD9EjbbGnlH/a7nHhzDEqFqKho/KnVPl7Wqbluy0nFCg/88AkhTDVuOnAh+15kc5hVoywqaZ+bWhyEHUwmz2qxmoRI276dfwiYq9ji8OSawMNOqiaXcQZ3+7tsNW44P6IEU/ajNJtorHcc/HxAR+fKDT4njOIlXs9MEIaM9kCZFv+8sfWNGYZYYpbk499O3n5/3ImUy3bDlxJKbsaJC62zve1FK+eviqD0q01pL+wxNB5D8JtqZMpBseeLEcmibzfoRxs3YrLfra87ZIHffcm7fx5v7pKQMpOh70hUtYwkgxbzh3oB69gBSs2bL4lx++xU/A+nkmdiZG01rPVt9DcaVq8lvoq17IHllZyv9AkgxJ0JxG2y7kbwxRncCeqfWL7vgBZdtl2u9qQ7hUToDqRpNyPWV8waDaQypqgfXqmZOrWb1mlvClncv6uhMbDqTw7KiTbTdv6dtol2CHtr+e6vqdjmMcDZHJJNH9Z7fNGtW7AyWlqX8rGydBNCu23JsYAZSfAmb30TbOH/bPNuM7YEUrEODV6Ky9UDKv4QtCPDqYEoVV+92o+Y2Xe46oeVXCbsXf5bcnDPN7vBaF6zFY+KiX8IW7rGVRqtuy+mVTihAnPWc3/FL2IxZ2GxdMjX4ucyAR6gHUr8MpDEGkOKz56IZSOVbr/Rne+TEcqiJth2zrH4J2xrcPkQIIFWGnzLvnYDooE+/ANJcu95zghsXRZ3qE0CK0hHqNbq9DK1yTbS95aOcB8Oa9CBmWGtxxpmyq1luCVuoiXYOfYXOXZzxZyISCQLoZglDqIRtUADJOxlNM/jPmz5nqOp2OYxwE233pzkwiw6Mt8y2EgcDug+Sfs6phu33y0rK+IneqgdsNcuSjuOEBihLK13pdmN6IGXosFG6Hkg59xgyB9ZmgLdqpr1t8+TySuj7Tnov+vY8SthMv3rnJfK5n7l5TR4Td2+ckr0bp2XflnVSs6zMGUinz0RL2LK9flz2Ut3Pshv8+NB3Zvwz1ES7Fl/CNpYm2jHLaB57apYqdeDliZNnQt9BPWYspN9Oed9FvhgdVoRfwlbTvWnc31f6NNFWSvWUscXVxmfZWegpFNfSSeg46JMCnYGUdGWpLPwrXCVpMonqKfG5ASqmUbN6MpDyiMn8xksvlZ9/flByq4+Xtopvoj2oRGfXBne6392RmWQmoVlzy5HX0rHb3Afpwcrlu+ZFROTOQzt6Buhx/Y+09VNuAEl/fmbmtg5e9L5+9Ip7kNG20nWk44icv3VWRNzBW9dxegaa+vc063t5MpDcn/2y28cpun1Wjb6Ie/z0SqjfUNI7KSoDqVGzYks614KZVl3+50/cIJfvWshewub1QDIDxGZAJ01QODQLmwQXMtIy72tuEqEm2okZSKOvV/GzsCW/dlnoz73TdeSpU8v+7fE9kKq3rxkneiBVhF/C5vVc0BvfoI1wcbYl9z9+0v89LmUwy0F+uSIlWGXjz6Ti918oN/8EZQ0NNjAeSrmDnSqnvV+6c728+NCOwXdEIeq26u2BlNNr2cYITpcMWFZw7FQq6IE0KMPiWQcX5b+9/io5vGchp6VNz238bFd6u8zKPE/Rh7Lt81Ny3z13iIjId4+cDN2/32BZN9I2M5C0pMFlUg+kmqWk0+2KEuU/z9KKGyBNKmHrpoggnbe4ThZnW7JxZrIz4xVVwqZPpJQKvoMqrt5tr7z0xFIntvF7lD4/o19fMcweW2m0624Ayby+Hwomp/jagrGCEXTx1/HBTzBMDyS9i8krAykcQCrnumvuZY+cWPL/HRe80++nivuccSCAVBHRlNX9izPyIzeeLS+5Ymffx/VkIMXNwjZUBlLqh0DMEjbdRLvcexxOUDAsJe5BeNJXwUfx4TdeM+lFgKFuW+605wVMZ2Ye23TaenSWp2AWtv7HTqWUXLl3Qz4LOoTpRm1NlaNYAwbj0X3Ulj6Tf/gz0+oMJGPykaTBUP8eSCKWcvyr/X4GkhX/HGnW/Mt3Lchnf+bmFPfMlz8LW85N5s1Pt1nhDCRdwnam0w29p6S3UlQGElyX7FgvezelzyJt1W05vdz1Kw5EspewmeVvej3wG8WneLw51kvbA0nLK/Br7tuyZHQVyQzUP348mJE17ri51jt8EECqiGgTbaWU/OQz9/d7iIj0NtKOzUDKsLMIZgao3kF6koIStmoEkPTycYKCrJSXgrSWBqrIl94P6Z4zIpJbClLcyballDSHaKJdNtNNu7RXfvMQagMy4Iq4SLoStrjyrMQMpMjvdaOnVqfbFUcp//xracUteenpgeT9niYDqSz8HkhjKIVJw3GCwXAVDzvmuhTXtysqOisz8vWeF1+S6f76+zx1puPfFtrXpNiUO0a5gn5kkAU7+PFJ+75+GUhacxwlbHEB+wqUsJm72SMn3ADSj968L/a+ZR/H5Y0AUkXobS3rCeuW2f49kJo1K9NATzfRXktp8OOgP66OUddcZlzhwrD0qr3WD64YH33cO70cnJDn0URbJHzlVq/CoQwko49Q1QJI73zOBX4p1loQmhI9xbTS0fMl0/xUpIl2fXAAKXpu1Yj0QKpZ7vpWs5ScWXGbxCfPwpa4aKXjZyAVNAubI8HguorHnelmMBSLmzkwyvLPz6r3XtcCHRQ+EQogBX9Pc+yKtrtQRuZrmm89tO8zHqHHbnp2uThjKWGLuc3cH5Z1bGFmfj12fEnWNWvyY7ee2/cxWSY6WE3K+Q2ih94ZZE37e9aFi/KG6/f6v0frOLPMwCYSRMWrXJ4yCfr7O7m0IkqVf+Bhc4KCERFkxrjogeip5SADKa8BdVwT23CT3mBg18y5RGfcrj93k1y4fW7Si1GY8GA85u+RGzf36R3UU8JmnDvFzdAjEpeBZPZAcqTTdfzg5BmvB1L0MUET7epEkIIm8/me5+g+dZtnmtLwtsUqZsebA/ZUPZCUEtUnAIDJ8gNISyv+beb3utxx5C1/9E99nyNcwub23QuCP9m+91AGkj14LDmOwG9VeyCZVfJHT6+kDNbltjilVu5RLHz2kCesW+fa8tO3n+//Ho36Zo00L3eqkUFTNvrjOr60ItONWulPcvT6FjdrH9CPXrVLvoqjQvRxyiwJyK2JdkzWip69zLZUZBY29o9lNqgHUvS2YZpo122VmMUdPc7rQVu7bsvRU8vSdcS/oLSUMAubvrpdQPuvsSmqifbrrtsj3/qF22X9VCMU4K0aMwMpTa9l21JSt63Sn0euVS1v33DSOF5FL6h95EsP9X0Os12IknDma9avPRRASlH+OI7soLisnEqUsEXOLNjEkpXzG0SPcaXMR5siZ51mVTeF48pHNvoC5fGllcxZX5NACRuGtcebsryKpQQoJz0QDZWw5ZSREZq9RoVvq9vKS/13by97JulaNziAFP49VQ8kv4m2l/HS5xp10ixsF+9YL0+cXJYHnzgVykByA0jhBwUZSIkvUzr6LYyjFKb/6wSD6irPwjaVtQdSxlnBUKy4DKSsDZdDJWzKzVoM1o2MGUhmCVtke8lL3Lpr3lbWsYXR91xE+mc0VmmfnAd6IFWENaaNPppqnTWAdNorIYibzQ3J9A78+NJK6GpTWfk19gQKkdEfvu4q+dJ3nyztLBuoHt2M9+SZ4IQ8twykmOmP/eOvd9Vf/577NOUYiTJ2QbHTMBu3TTVsWdfn2KwDSPoanD536vQZRURfslFzbzi8Z0FE3Fm3bKWkWbPdJtrdmAFLBZtoW15gp8hBYtBEu3rnLOZ5uLn0SYNX97Ot3vtcK3QA6WRSE+0Uotu7rcwAUrZ9QVwT7bwDkHHvNhxAKuf6G/1kGQIlK/9IFiIyfAlbVM1WoQ1kqp5tFfje0dNiW0oWptdOI85x0DvOE0sdmW6Wf9BBCRuGtWmmKbcc2DLpxcAqUmQPpLjsWj/tv2ZHeiCxfywzs2Qi7ns1B3WvvHp336vNvSVs7rlTp09tWTQ7SQdU9m6clo3rGvLY8TOivP5aZzpdcWJK2PwMpMRXKR9LibQK3jaafgZS9UZ8ZkP2NIEGS5U3gwPBBY/jCT2Q0nCMCXeUiChL+ZmvWctZQzOL6hmWY7bPT//EDfLAE6eyPXmCuPdr3lbW9Tea2dw3A6lSe+XxK+c3iB464WfUq/rRErZWxgykh548JZtnmpSwZaR3Qm4JW/njtjTRBlAW+oT8VAEZSHEDOLOE3DKamVatifZaYw0MIAX/fvuz9vd9Lj+AZIV7IPV//fDvDSPIccXuBW+53GwAt4QtZhY2LwhVpSbaSqnCs/PqfgZSoS87FjXbMmZ5HHz/orO7kE3Lz0AyStgyrpd+CZsKSjX1vidrNqL50pblNmCPy0DavXFart23MduCJr3mgPdb1gz16Gfb73ur0C45F+X8BtFjfqohN+3fLId2zY/0PHXLCu1M2hmbgD52fEkW55IbTSKe/syPn16RaXogAUBqOlBzyuiBlJdQoMFooi3invTalpLFuZZsmW0SYC+5uNINU5ayklbdHeTr4GGqAEnk+c3jqS5jsy0lzbrRRDtyyK1iDyRLFV/eGTTRruY2GZwXDl5+27JKOwBHUJJ4Ymn4ErZOaBY2byIHv5w12/JEX9pW+QcgY0vYjH+XdWyhP/bZlr7QX839SRHKnwoBEXE3tvf94BUjP090tpA02TC3HtgiR08tyz9++4g4jshWAkiZ6YPHqeWOTFWgB5Let5d1Jw9g7WjFzMKW14ja7JWj/2XOXKOUkpcd3ikvvHx7Jctl1pLBGUjpvz+llJy/OCM7FtoiMmQGUkwASSm3IfLSSlcc6S2Z0L9WqQeSUqrwGQqrPAubiHsu/sTJ5VTLb1tkh5eZ30R7hAwkv4TNOwqZPZCyZiNG9ym6cX8elHIPzfElbMG/y7r+6v3sxpmmHD29kup7W6vnAeUfyWLszF1PmqtEv/PKQ/L/PfCUPOc//q2IiCzOtnNastXL3L9UIQNJH6iiJY8AUDRdwnba7IGU02vFTcmus0LaDVsa3rTtLav8+/G1zvwqB5WwpfHnP3KNP1hIE0BK6oEkIrJ/cVY2rmvIXLsuzbotR08ti+M4Pde79etVJ3wkcuv5W+TCbXOFvqYOzlV1MKfXpzRBzSIySDC8YBa24IJH1vVSP7ZVd6tGzBK2UWPJeQaQtEHvtqzrr/5oN65ryr2Pnuhbirdzw5SIiLz++j35L1gJEUBa49JOKW9uRGQgZWfug6rUA4mpYgFMmj4hP9MpoIm2cbDTVyP1/vDdzz1I6UiFjDMDSSQ8CEwzg21SDyS9PB9507Uy267L3X/8z3Ls9LIsLXd7lkn/XqUMpDuv2FH4a1a9hE2fi6dZfMtSUq/o+1wL9L4h3AMp2/d19PSyiIjMtOrezJ/BDJCjNm+2LZX/LGwxb9ecfKmsYwu9m920riki/b+32VZd7rvnjiIWq5TK+Q2iMO2UdermRkQPpOzME89+UwWXhT7ZJgMJwKQV2U/FDDToGbZ0UOnC7XNy3uJMYcuC0YR6IMUMBOKyzdJKc+4Ufclo2cZZ69uyrlmTZs2Sbz16Qo4trciVexfin6M68aOJaK6CEjaR9BlIZR2AI1gXT54xeyBle46nTukAUs3NQPIaaYuIdLt9HphCIRlIMe+3WbPlvnvukA3TjfJmIOkStnVusKuiu5NClH8ki7ELNdFOmYFkNnYkAyk7c2c61Sx/6YM+2a6lmRIEAHIUF0DKawpdM4D0wsu3yz/ee0TedNO+XF4L+VIDMpBGkSaTOFq2kjRo2jTTlNlWTX7tJZfITfu3hJ/D+0n8qD9/FraKRpCyZCA999JtlQ2UrQVKKWnX7dCkD5kzkE4FGUgi7v4rKGcdbW9Qs1RuPYiUuPuqaPmu6exN62TvpulcXn9UukH5Ri8DqaolsUUggLQGmbseMpCKYe6CpqtUwlZj5wlgsmzvhHe5Exy9cithM0ZmM626/PZdl+fzQijUuANIaS6+9WYgxQeQ3nHH+fLjzzjXHyzGPUc369RLa4zOqKjqeE+vT/0G3tpdV+3Ke3EwonYjHEDKul4+dcotf5tp1YJZ2HQG0oi7AkspadRyvpDd5/1+6H+7Ot/XHoHZRFukuvuTIpR/JItc7duyLtX9zHOvzTMEkLIyA3Bp+05N0jmb18k152yQA1uLbYQJAHFaNVuWO0FPibwCSHpfXdZZYjCc2tgzkNL0QApnQCUFseq2lRhc8mdeGmIZ15Kq90Ca9kvYJrwgGIvoxfnhM5BqIuLOwKYrA7LOwhbVrFsylXNZeFVXY6cnA2mCC1NyBJDWsDffdI5ct29TqvvqNL6N65o0ER1CaBa2CvRAWj/VkD983VWTXgwAEBGRZt2WY0srg+84In0FcsN0M/fXQnHGXdqUpoeH+Yqj9qypUhPtSdCfb1UDMDoDqaoleAjTM4dqWQNIZzpdadQsaXqZQuYsbKNmIP3Kiy6RLbP5Ht+qWvqlg3NTDVumGnZlA9JFIBKwhmU5H9GRb/ofDSfUA6kCGUgAUCbRE/K8htObZ5ry6mt2y3993eGcXgGTMO4MpDTMwcewGW1+BhLxo77qtgoNuKtmuqlL2LAaREtcLSXy0Tdfm+k5ZlvuxWal3P2X3oWNmoF0eM+C7NqQbw+iqq7H+pO1lJL5qUZl30cRyp8KgbH43M/cHJoRICt9EkP/o+GY0fgqZCABQJlESwJGPYlOopSSdz7nglyeG5OTx5Xk/YszctvBxcS/my85bOb2Wevdc67t8+2hHr9WKKXkA685LOdsTteWoWx0U/aqZm4gLHq8UkrJwW1z8qyDi/JXX/5+qufQPdGUuJlp4+qBVISqZu74M69aShamG3KigKznqmIku0Zsnu0N/GTZvvV9yUAaTtWaaANAmURnYiMjA1nUcuhp9fG7r+/7dxXKQBougPTMCxbl9199hVyfst3AWnbl3g2TXoSh6cx0KthWh+jxSn+v5kQQg8wYGUi2UpXqh1bR+JEfnLMtkfnphpw4QwApCSNZpKJrb8lAGo4VykCqZoo1AExKbwlbFU6jURb2BEY0etD43EvOkkO7F4Z6DqWU3HDe5jEuFcpIB5Ciq+lcuy53XLR1AkuEUfQ00fZ2Bivdburn0AEk/XidgZRX9u04VTR+JDo8ZyklV+1dkHsfpRdiEgJIa9A152yU93zi66kbaIuILEw15Nwt6+TwkCdBa124BxKbHQBkEb2iC2SRNANanvQrXr9vk/zA5dsLf31UR9ufhS28nn7pnc+YxOJgRHE9kEREVrJkIDV1CZuK9EAayyLmQinlLmBFI0hBBpKSN95wzmQXpuQYya5Bl++al/vuuSPTY9oNW/7Hjz09pyVa/ZSQgQQAw4o2xy3zSTTKZxIBJJ11kEf5HFaXaT8DiXVlNYjrgSQistzJnoGklDcLm9I9kMp/8FMVjSDp7K6q9nAqErOwAQXQ565KibQqOksIAExKUbOwYXWaZAbSJF4b1aIzVlhTVofeHkjuN9vJ0AE71ERbVauJdlXjL2YGEvojgAQUwdsXTdVt/6okACCd3ibaFTiLRmlMJIDkjaIm0X8J1TKdUMKGakoqYVvOFEAKioRsS/ljhzIf+1TkZ9Xo7C4CSIMRQAIKoNM5p5tUjQJAVtGSACCLSQzM9UsyGMEgzMK2uvQ00fZ2BitDlbC55Wv+LGzljR/5KluK6X22BHIHI4AEFECfFBBAAoDsKGHDKGqT6IGk6IGEdKaaQb8bVF9vDyT3Z5Ym2rNeCZuIu/+yq9QDqaLrMRlI6RFAAgqgo/FTDa6iA0BWPbOwlf8cGiUy2R5InGqjv6k6TbRXk1bkXF/vf+an63F3j9Vbwub+O+2h7+q9G1K/1rhVdS3Wny1lx4NxVAMK4GcgNchAAoCsenogTWg5UE2TGJj7GUhczcYA61o12TTTlO3z7UkvCsagJwPJC6n8xksvkyt2z6d6Dr+JtnJndMyagfT+1x6Wf3vXbWkXeayqGn/Rny0x/8EYzQIF0DvTqSYZSACQVbMWKWGrQBo/1jh6ICGlum3J537mZjKQVomknn2bZpryiqt2yefve2Lgc+gMpIZtSbNmBRPwpDz01W1LJtU6sKrrMbOwpUcACSiE10SbDCQAyExnINmWyjQVMjApOgOJwQjSqOqgG73ajfAFD/OrTbs/0AGkX3rhRbJxXVOOnDgjIhXpgTTpBRiWDiCxLQ7EaBYoQNBEmwwkAMjKDyApJR1xKGFD6QU9kBiMAGtJ3U6ugaqlrI/SJWxX7F4QEZGnTi2LSJAlU2ZVDYYGJWzVXP4iUeUHFCBook3MFgCy0rOw+Y1EK3ASjbVNr6v0QALWFtUnB6eeclZGs4m2iFRiFjYdN6rqHo8m2ukRQAIKoHdFZCABQHa6p4S+eksOEspODyLJQALWln7Hp1qf7CStYVs9E0fomEaJ40e+qsZfdHDOThnkW8sIIAEFsMhAAoChmT2QRKpxEo21TQ+i0pasAFgdNs+0Qr+b4Yh6ioByNPtIxDz2lf/g1y8Dq8wceiClxlENKIDeF003yEACgKz8ErYKXYXF2rZppil1W8n8VH3SiwKgQOctzshH33yt7Nk43fO3NBmJ/QJI1eiBNOklGA1Zo4ORDgEUQO9Mp5pscgCQVbPmBt+tqp+ZYs24eu8G+fw7bpH1U41JLwqAgh3cNhcbiEhTwqYbaJv0sa/M5dtu5lF5ly8tzjMGIwMJKECz5m5qc22uRAJAVrqETU9IUIU0fqxtSimCR8AaFnecStNEOy4DqUrZt1WPv5CBNBgBJKAAZ29aJ7/9isvkpv2bJ70oAFA5uoSt6iemAIC1xTxupemJVvkStor2QNKIHw1GAAkogFJKbju4VeopUlcBAGE6A8m/CjvBZQEAYBDdA0mXYIuky0C6ef+WntusCmXfVvVCz8FtsyISZDojGQ1ZAABAqbX1LGz+SfQklwarxW+/4jLWJQC5eM+LL5HP3XtEdixM+belKY+684odPbcFGUjl32FVNf7yh6+9Su4/cmLSi1EJBJAAAECp9fRAIgcJY3Dbwa2TXgQAq9Rsqy63HAhnEw1biRA00S6/qjahnpuqy0VT6ye9GJVAPQ0AACg121JSt5Xo9hEVuAgLAEBILUUJWxx97OtWoAlSNcNHyIIAEgAAKL1Wza58c04AwNqVpol2nCqVb1c0AQkZEEACAACl16zbMtVwS9ku3DY34aUBACCbNE204+geSKWOH6mef2CVogcSAAAovVbdkrl2XT78xqfJuVtmJr04qIDDexbkzEp30osBACKSrol2HMUsbCgRAkgAAKD0WnVblBK5dOf8pBcFFfGhN1w96UUAAN+wTbSDWdjGuTT5IH60+lHCBgAASq9dpwcSAKC6akNmIOkeSN1KZCBxnF7tyEACAAClt2mmKY0hr94CADBpw5ewuT/LHD9SkZ9YvQggAQCA0vvlF13MiSkAoLKUUlK3lSx3skWCLN0DqdxttEWEHkhrAQEkAABQegvTjUkvAgAAI7Gt5ABSsxafZVu3lZy9aVrecvO+PBdtLCg1X/0IIAEAAAAAkLO6ZclpiZ8d8iNvujb2dqWUfOrHb8hxqcaHDKTVj2YCAAAAAADkrGbHR1heeninnLc4U/DSjB8BpNWPABIAAAAAADmrJUwGsVoCL8zCtvoRQAIAAAAAIGf1IWdiq4rV/e4gQgAJAAAAAIDc2ZESttWWsLPa3g96EUACAAAAACBndSs8/La8iEvV4y46cMQsbKsfASQAAAAAAHIWbaK92sItZCCtfiMFkJRSC0qpTyilvuH9nE+4321Kqa8ppb6plHq7cfv/rpR6UCn1z95/t4+yPAAAAAAAlFEtIQNptVhd7wZxRs1AeruIfMpxnH0i8inv9xCllC0ivykizxKRAyLyUqXUAeMuv+o4ziXefx8bcXkAAAAAACideiQDSUdcVk0cabW8DyQaNYD0XBH5A+/ffyAiz4u5z2ER+abjOPc6jnNGRP7YexwAAAAAAGuCba3OEjbd+4geSKvfqAGkLY7jfE9ExPu5OeY+20Tku8bvD3i3aW9SSv2LUup9SSVwAAAAAABUWc1OaqK9OgIvqyaTCokGBpCUUp9USn055r+0WURxq5Hj/fwtETlbRC4Rke+JyK/0WY7XK6W+oJT6wqOPPprypQEAAAAAmLxoCdtqC7issreDGLVBd3Ac55akvymlHlZKbXUc53tKqa0i8kjM3R4QkR3G79tF5CHvuR82nut3ROSjfZbjvSLyXhGRQ4cOqY2Y+wAAE81JREFUOUn3AwAAAACgbKJNtFdbwEWttogYeoxawvYREXmV9+9XichfxNzn8yKyTym1RynVEJGXeI8TL+ikPV9Evjzi8gAAAAAAUDrRDCS/hG2VxF2sVfI+kGxgBtIA94jIh5RSrxWR74jIi0RElFJnich/cRzndsdxVpRSbxKRvxYRW0Te5zjOV7zH/wel1CXilrTdJyJvGHF5AAAAAAAonWgT7dWWgrRaejkh2UgBJMdxHheRm2Nuf0hEbjd+/5iIfCzmfneN8voAAAAAAFRBUhPtVWOVvR30GrWEDQAAAAAADFC34ptor5a4y2qLh6EXASQAAAAAAHIWzUBaLfGW1RYIQzICSAAAAAAA5Cy5ifbqCL2slveBZASQAAAAAADIWbSJ9mqLt6yyt4MYBJAAAAAAAMhZzYqUsK2yCJIz6QVA7gggAQAAAACQs2gJ22oJH62W94HBCCABAAAAAJCznibaRF5QMQSQAAAAAADIWd2Kb6INVAUBJAAAAAAAcmZHeyDpnxWPI/3eqw/LHRdtlemGPelFQc5qk14AAAAAAABWu1q0B1LVI0eew3sW5PCehUkvBgpABhIAAAAAADmLNtEGqoYAEgAAAAAAOatFS9i8eJJiHjNUBAEkAAAAAAByFs1Aook2qoYAEgAAAAAAOetpoq3CP4GyI4AEAAAAAEDOeppoT2g5gGERQAIAAAAAIGeUsKHqCCABAAAAAJCzaBNtUaEfQOkRQAIAAAAAIGfRDCQCR6gaAkgAAAAAAOQs2kSbEjZUDQEkAAAAAABy1tNEm1nYUDEEkAAAAAAAyFmdDCRUHAEkAAAAAAByFs1A0hSBJFQEASQAAAAAAHLW00SbwBEqhgASAAAAAAA5622iPaEFAYZEAAkAAAAAgJzVrIQm2hNYFmAYBJAAAAAAAMhZ3aaJNqqNABIAAAAAADmLNtEmfISqIYAEAAAAAEDOdi1Myauv2R3cQA0bKoYAEgAAAAAAOavZlrzzORf4v9NEG1VDAAkAAAAAgIIp/yeRJFQDASQAAAAAAAqmaKKNiiGABAAAAABAwShhQ9UQQAIAAAAAoGC6dI1EJFQFASQAAAAAAApG4AhVQwAJAAAAAICCEUBC1RBAAgAAAACgYH4J24SXA0iLABIAAAAAAAWzGI2jYlhlAQAAAAAoGE20UTUEkAAAAAAAKBiBI1QNASQAAAAAAAqmiCChYgggAQAAAABQMOX/JJCEaiCABAAAAABAwSziRqgYAkgAAAAAABSMEjZUDQEkAAAAAAAK5pewEUdCRRBAAgAAAACgYGQgoWoIIAEAAAAAUDAdPyKMhKoggAQAAAAAQMFooo2qIYAEAAAAAEDBFLlHqBgCSAAAAAAAFEzRRRsVQwAJAAAAAICCWQSOUDEEkAAAAAAAKBrxI1QMASQAAAAAAAqmIj+BsiOABAAAAABAwShhQ9UQQAIAAAAAoGA6fkQcCVVBAAkAAAAAgIKRgYSqIYAEAAAAAEBB/MyjyS4GkBkBJAAAAAAACqIi/1CEklARBJAAAAAAACiI8lKQKGFD1RBAAgAAAACgICryE6gKAkgAAAAAABTEimQgkYiEqiCABAAAAABAUXTvIwJHqBgCSAAAAAAAFMQvYWM2NlQMASQAAAAAAAriB45IQULFEEACAAAAAKAgfu+jCS8HkBUBJAAAAAAACtJTwkYkCRVBAAkAAAAAgIKoyCxsQFUQQAIAAAAAoCA0z0ZVEUACAAAAAKAgQQmbCv0Eyo4AEgAAAAAABQkCRxNeECAjAkgAAAAAABQkKGEjgoRqIYAEAAAAAEBBdNjIIn6EiiGABAAAAABAQSxK2FBRBJAAAAAAACiIX8JGIAkVQwAJAAAAAIDCEDFCNRFAAgAAAACgILr3keM4k10QICMCSAAAAAAAFCRassZsbKgKAkgAAAAAABSEgBGqigASAAAAAAAFUX4J22SXA8iKABIAAAAAAAWJ5h8xCxuqggASAAAAAAAFUV7EiAQkVA0BJAAAAAAACtLbRBuoBgJIAAAAAAAUhJI1VBUBJAAAAAAACmLpEjZq2FAxBJAAAAAAACjIVXs2iIjITKsmImQkoToIIAEAAAAAUJB3Pe8C+eRbr5eNM81JLwqQCQEkAAAAAAAK0qzZcs7mGZpno3IIIAEAAAAAUDBduqYIJaEiCCABAAAAAFAwAkeoGgJIAAAAAAAUzM9AIo6EiiCABAAAAABAwYgboWpGCiAppRaUUp9QSn3D+zmfcL/3KaUeUUp9eZjHAwAAAACwmpB5hKoZNQPp7SLyKcdx9onIp7z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\n", 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" ] @@ -824,7 +824,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -844,7 +844,7 @@ "Length: 1224, dtype: float64" ] }, - "execution_count": 11, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -857,12 +857,12 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -874,12 +874,12 @@ } ], "source": [ - "core_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Portfolio return\"); " + "core_cumulative_returns.plot(figsize=(20,10), title=\"Cumulative Portfolio return\");" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -908,47 +908,47 @@ " \n", " \n", " \n", - " 2015-11-20\n", + " 2015-11-20\n", " 0.003810\n", " \n", " \n", - " 2015-11-23\n", + " 2015-11-23\n", " -0.001235\n", " \n", " \n", - " 2015-11-24\n", + " 2015-11-24\n", " 0.001222\n", " \n", " \n", - " 2015-11-25\n", + " 2015-11-25\n", " -0.000129\n", " \n", " \n", - " 2015-11-27\n", + " 2015-11-27\n", " 0.000594\n", " \n", " \n", - " ...\n", + " ...\n", " ...\n", " \n", " \n", - " 2020-09-25\n", + " 2020-09-25\n", " 0.015977\n", " \n", " \n", - " 2020-09-28\n", + " 2020-09-28\n", " 0.016111\n", " \n", " \n", - " 2020-09-29\n", + " 2020-09-29\n", " -0.004813\n", " \n", " \n", - " 2020-09-30\n", + " 2020-09-30\n", " 0.008254\n", " \n", " \n", - " 2020-10-01\n", + " 2020-10-01\n", " 0.005293\n", " \n", " \n", @@ -973,7 +973,7 @@ "[1224 rows x 1 columns]" ] }, - "execution_count": 13, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -988,7 +988,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -1017,47 +1017,47 @@ " \n", " \n", " \n", - " 2015-11-20\n", + " 2015-11-20\n", " 0.003810\n", " \n", " \n", - " 2015-11-23\n", + " 2015-11-23\n", " 0.002571\n", " \n", " \n", - " 2015-11-24\n", + " 2015-11-24\n", " 0.003796\n", " \n", " \n", - " 2015-11-25\n", + " 2015-11-25\n", " 0.003666\n", " \n", " \n", - " 2015-11-27\n", + " 2015-11-27\n", " 0.004262\n", " \n", " \n", - " ...\n", + " ...\n", " ...\n", " \n", " \n", - " 2020-09-25\n", + " 2020-09-25\n", " 0.584853\n", " \n", " \n", - " 2020-09-28\n", + " 2020-09-28\n", " 0.610386\n", " \n", " \n", - " 2020-09-29\n", + " 2020-09-29\n", " 0.602636\n", " \n", " \n", - " 2020-09-30\n", + " 2020-09-30\n", " 0.615864\n", " \n", " \n", - " 2020-10-01\n", + " 2020-10-01\n", " 0.624416\n", " \n", " \n", @@ -1082,7 +1082,7 @@ "[1224 rows x 1 columns]" ] }, - "execution_count": 14, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -1095,12 +1095,12 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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" ] @@ -1112,17 +1112,17 @@ } ], "source": [ - "SP500_daily_returns.plot(figsize=(20,10), title=\"Daily Returns of SP500\"); " + "SP500_daily_returns.plot(figsize=(20,10), title=\"Daily Returns of SP500\");" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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AAAAAOBnhWELxpFVbyKkESqRSBV5RcSAEAgAAAAAAReVf7nhej+1vk9ftNDhRCTQ+hEAAAAAAAKCoHGwLq7knmn1srZRMWbmZDTQqZgIBAAAAAICi0tId0Zq55fK6TXZnMFrCxkYIBAAAAAAAioa1Vi29UW1a3aAHPrFJH9q0QpKUSNISNhZCIAAAAAAAUDQ6w3HFk1YN5X4tqgmq1O9MuiEEGhshEAAAAAAAKBot6W3h68v9kiSv25kDRDvY2AiBAAAAAABA0djX3CtJmlcZkCR5XOwQNl6EQAAAAAAAoGjc8fRRNZT7tX5RlSTJ48pUAhECjYUQCAAAAAAAFI3dTd26YEWtPG4n0vBk2sGStIONhRAIAAAAAAAUje6+hKpKvNnHbiqBxo0QCAAAAAAAFIVUyqo7EldlTgjkTVcEsTvY2AiBAAAAAABAUeiNJWStVJETAmVmAsVpBxsTIRAAAAAAACgKXeG4JKkikBMCpWcCJWkHGxMhEAAAAAAAKArdkXQINKASKLNFPJVAYyEEAgAAAAAARaGrLxMCebLHSv1uSVJvNFmQNRUTQiAAAAAAAFAUuvsSkga2g1UHfZKkjlCsIGsqJoRAAAAAAACgKHSnK4FydwerKXVCoDZCoDERAgEAAAAAgKKwv7VXXrfRnIpA9lhFwCu3y1AJNA6EQAAAAAAAoCi8eKxbp80pl8/TH2e4XEbVQS+VQONACAQAAAAAAKY9a61eONqlM+dXDjlXU+qjEmgcCIEAAAAAAMC0d7wroo5wXGsXVAw5Vx30qZ0QaEyEQAAAAAAAYNp74WiXJGntMJVAdWV+tfZGp3pJRYcQCAAAAAAATHs7jnXLGOn0eeVDztWX+9VCCDQmQiAAAAAAADDt7TjWpRX1ZQr6PEPO1Zf71RNJKBJPFmBlxYMQCAAAAAAATHs7jnVr7fyh84Akqb7ML0lq6aEaaDSEQAAAAAAAYFpr643qeFdk2J3BJKcSSJKaCYFGRQgEAAAAAACmtR3HuiVp5EqgciqBxoMQCAAAAAAATGsvHBt5ZzBJasiEQL1RbTvUrn3NPZKk/912REuv/526wvGpWeg0RwgEAAAAAACmtR3HurWwukSVQe+w52tKfTLGqQR62y2P6/KvbpYkfXfzAUnSvpbeKVvrdEYIBAAAAAAApiVrrbr64nq+sUtnLRi+CkiSPG6Xakt9Q9rBPG4n9jjSHp7UdRYLQiAAAAAAwKzW1RenXWiauuXhAzr78/fpcHtYZy0cOQSSpLoyv1p6IgOOmfR/H2wNTdIKiwshEAAAAABgVrvgi3/S2TfcV+hlYBhfu39P9ud1C6pGvba+3D+kEiizW9hLbYRAEiEQAAAAAGCW2XaoXV/+w2595b7dSqaswrGkJKf1CIX3vUcO6NfPNGp/S6+iiVT2+JkLht8ZLKOhPDAgBOqNJtTa6zxuC8VGfN62Q+264It/0vYjnae48unPU+gFAAAAAAAwld52y+PZn4939bcPHe3s08LqYCGWhBxf+N1OSdKaueWqLPGqq89p1asK+kZ9Xn25P1v5I0n7m/uHQbePEgIdbg/reFdEFYGZH5FQCQQAAAAAmJXmVwb0y6cas4/3NrGD1HSy60SP/uOqs1Xu92jDkuoxr68v9yuR6q/m2p/eEexli6vUMUoIdKS9T5I0v6rkFFc8/RECAQAAAABmDWutvG6jsxdV6eF/vERXbViUPZdpHUJh+TxOVHHjW87UpWvm6KnPvFo/+8D5Yz6vvtw/4PG+5l55XEbrF1WpPTxyCNTYEVZDuV8Br/vUFl4ECIEAAAAAALNGeyimeNLqzevny+t26d/eepZ++tfnSZK6I4kCrw6plFU8mdLHLl2pa89bIskJhbzuseOL+rKBIdD+ll4tqQ2qoTygSDylvvTsp8EaO/q0qGZ2tAESAgEAAAAAZo2mbqfaZ25FQJLkdhmdt6xWktTdxzbxhZRMWX3mrhdkrVTqP/n5PA0VA0OgvU29WtlQpppSrySNWA10rKtvVrSCSYRAAAAAAIBZ5HB7WJLUkA6BJCcIKvd71EMlUEF988F9+smWw5Kk4ARCoMHtYAdaQ1pRX6bq9EDp9t7hQ6C23pjqykYfOj1TEAIBAAAAAGaNu7YfVXXQO2S78fKAR90RKoEKZcuBNn3t/j3Zx6W+k5/PU+73yO8ZGHOsbChTZYlTCdQ1TKXX/S82qTeaUM0YO4/NFIRAAAAAAIBZIRJP6oFdzXrT+gXyewaGDBUlXtrBCuREV0Tv/9E2Lc6ZyxP0nXwlkDFmSDXQivoyVaRDoJ5BIV8kntT7f7RNklRDJRAAAAAAAMXvRFdEp336Hn3rof2KJlJ61er6IddUBLy0gxXI9iMd6okk9MW3rlNNqRPGlE2gHUwa2hK2oqFM5QHnXoN/v0c7+7I/15YSAmUZY15njNltjNlnjLl+hGs2GWO2G2N2GGMezu8yAQAAAACYmAd2NSuWSOnrf9orn8el89ODoHPRDlY4J7oikqRVc8oUSLdzBf0T2669YVAIVOb3qDzgVAIN/v02dvSHQDWlA583U40ZrRlj3JK+KenVkholbTXG3G2tfTHnmipJ35L0OmvtYWNMw2QtGAAAAACAk5EZBi1J5y6tUckw82YqSrza29w7lctC2onuqLxuo5qgTwGv87sp8U4sBMqtBHrX+c4W8+V+j4yRugdVAh3J+bvI7CA2042nvupcSfustQckyRhzu6Q3SXox55prJN1hrT0sSdba5nwvFAAAAACAidh5vDv788Wn1Q17DZVAhdPUHVFDeUAul9GC6hIdaA3JZcyE7lVf5uz69usPv0IvW1wtSXK5jMp8niEzgXIrgTLPm+nG0w62QNKRnMeN6WO5TpNUbYx5yBjzlDHm3flaIAAAAAAAg93xdKPee9uT6gwPv+13ro6cay5aNXQekNQ/E8ham7c1YnxOdEU0t9IJYb521Xp95i/O0GlzyiZ0r3WLKlVf7teaucPs/tY3qBKoI6yltUHtvOF1qgzOjkqg8YRAw8Vvg/+p8Eg6R9IbJb1W0meMMacNuZExHzDGbDPGbGtpaTnpxQIAAAAAIEm/fe64Htzdomu+u0V7mnr07u8/qX3NPcNemxkIvKK+VGvmlg97TXnAo2TKKhxLTtqaMbym7ojmVjghUG2ZX3/1ymUyE6wEumR1g7Z+6vIhLX8VJd5hK4EW1QSHbQ+cqcYTAjVKWpTzeKGkY8Ncc6+1NmStbZW0WdLZg29krb3VWrvBWruhvn749BUAAAAAgLHsPtGj0+aUaV9Lr17zH5u1eU+LHtw1fLFBd19c7zx3se79+MUjhguZbcRpCZta1lqd6I5oTsXktmOVBzxDdgdrbA9rYXXJpL7udDOeEGirpFXGmGXGGJ+kqyXdPeiauyRdZIzxGGOCks6TtDO/SwUAAAAAQOqJxHW0s09vWr9A33/PRq1qcFqH4qnUkGutteqJJFRR4pHXPfJX4Ir0DlJsEz+1eqMJhWNJza2c3N25qoI+tYWiiiVS2tvUo3AsobZQTAurg5P6utPNmCGQtTYh6aOS/iAn2Plfa+0OY8zfGGP+Jn3NTkn3SnpO0pOSvmetfWHylg0AAAAAmK2OtDsDfZfVleqVq+r0x79/lfwelzrDQ6t4oomUYslUNuQZSXnA2Tepu49KoKnU1O1sDz/ZlUAr6st0sDWkT/36eb36PzbrmcOdkjTrKoHGszuYrLW/l/T7QcduGfT4Zkk3529pAAAAAAAM1R5yBj3Xlvqyx6qDPnWEhg6JzrR3VQRG//pLO1hhnOiKSpr8EGjN3HLFk1a/eKpRkrS3yZkfRSUQAAAAAADTWFvICQ5qy/pDoKqgVx3DVAJl2rsyIc9IMpVAtINNreNdTlXX3EkOgVYPGgj+UntYkrSoZnZVAhECAQAAAACKSqYSqKa0f45MddA37Hbxmfau8rEqgdLtYrSDTa09TT3ye1yT3pa1or5MHlf/UPD9LSH5PS7Vl03uLKLphhAIAAAAAFBU2kMxuYxUlVPdU1PqU8cwIVC2Emi8M4GoBJpSO451a83ccnlGGdqdDz6PS8vrS7OPD7T0akF1yYS3oi9WhEAAAAAAgKLSHoqpOuiTK6eyo7rUq7ZhZgL1Rp1Qp9Q/eiVQwOuWz+NiJtAUSqWsdhzr1hnzK6bk9VbP7X+dlp6oqoO+Ua6emQiBAAAAAABF40BLr/Y29aqmdOAX+PlVJeoMxxWKDqzkyTwu9Y29L1JFwKvuPiqBpsoLx7rU1RfXectqp+T1Vs8py/4cTaQU9Lmn5HWnE0IgAAAAAEBRSKasLv3Kw3ryUPuA1h5JWpTe5elIhzPwt7U3Kmut+uJJSVLQP/YX/oqARz1UAk2ZB3e1yBjp4tPqp+T1ciuBJKnESwgEAAAAAMC09GxjZ/bnN5w1b8C5xTVOCHS4LaznG7u04Qv3687tRxWKOiHQeCqByku8zASaQg/tada6hVVDqromy5pBO4SN1SI4ExECAQAAAACKwoO7miVJ//aWs3TFuvkDzi3KhEDtYX3lj7slSbtO9CgcS8gYKeAd++tvRcDD7mCToK03OmTWUnsopu1HOnXJ6qmpApKkBVUlqs0JnEpoBwMAAAAAYHrpicR1+Vcf1n89sE/nLq3RNectHjAUWpKqg16V+tz6yZbDemh3iyRpXkVAoWhSpT7PuHaBqgh4aQebBOd84X5d+uWHBhx7ZG+LrJU2rW6YsnW4XEa//vCF2cdB2sEAAAAAAJhenj/apX3NvZKkS08fPjQwxmhRTVAHW0PZY9FESuFYYtwDgCtKPLSD5Zm1VpLU2jtw57ZH9raqptSndQsqp3Q9/pyKMAZDAwAAAAAwzXSF+6tzLlszcuVIpiUsoy+eVDiWHPeX/fKAl3awPBspVDvSHtaK+tIhFV2Tzefuj0FKxjEnaqYhBAIAAAAATGsnuiOSnMG+KxvKRrwus0OYy0het0mHQAkFx/llvyLgUTSRUjSRPPVFQ5J0tKNv2OOtvVHVl/uneDWSz0MlEAAAAAAA00YimdJX/7hHrb1RSU4I5HO7dM/fXTTqbJ9FNSWSpMoSr4I+jyKxpDMTaBzbw0tSRYlXktRDS1jeHO0cGgJ95+H92t8SUl3Z1IdAfk9uJRAhEAAAAAAABfXc0S59/U979YcdJyRJzd1RNVT4xxzunNkmviroU4nXfdKVQOUB5zpCoPx54kDbkGNfvGeXJBUkBPK4qQQCAAAAAGDa2NvUI8kJfyTpWGef5lYExnxeZiZQRYlXJT63IvGUQrGTqAQKOJVAzAXKj2TK6ldPN2YfxxKpAeerc7ZrLwRCIAAAAAAACmxvk7MTWHNPVLc8vF9bDrZrSW3pmM9bWO20g1WVeBXwuhWKJtTUHVFVcHxhQ3kmBGKb+LzYebxbneG4Xra4SpIUig6ssOqLFbbiqsQ7+wZDz753DAAAAACYdnqjCbmNUYnPrT3p7eAf2t2s413OUOiltcHRni5JCvo8aij3q7bUp+5IXFsPtasnktCFK+rGtYaKEtrB8inTCnb56XP0zOFO9UYTKvX3xxBvffnCQi1NUn9oOJtQCQQAAAAAKKjjXX16+Q1/1CVffkjxZEr70u1gmQBIkuaMox1Mkr557cv1sctWqcTrVnckIbfL6JWrxhkC0Q6WV08caNfS2mB2R7euvriu/MafJUmfveKMgswEykUIBAAAAADAFHtod4tiyZROdEd07wsndCwn/Ll64yJJ0rpFleO618alNVpaV6oSrzPv5ZzF1apM7/o1lsxg6NnUDtYbTSieTI194UlKpay2HmrXectqVZ6u/tlysF27TjgBX6b1rlCW1ZWOOWh8JqIdDAAAAABQUI/sbVFtqU9Ja3XzH3ZLkt7/ymUq9Xv08ctX6YY3nSmf5+RqGALpob+b1tSP+zmlPo9cZva0g1lr9dr/2Kx3bFikv7t8VV7vvfNEt7r64jp/RY3qy52Kn19sO5I9X+YvXBzx4g2vlWsWBkASIRAAAAAAoICSKatH97Xp1WfMUcDr0v88cViS9N5XLtOCKqddx+c5+S/smUqgTac1jPs5LpdRmd8za9rBTnRHdLSzT/taevN6319sO6I7nj4qSU4lULrCKlMFJL1JqhMAACAASURBVEkVgcLFEUHf7I1CZu87BwAAAAAUTFdfXLc8vF/ffmi/JOmiVXVaWF2SDYEyAdBEragv05q55Tp9XvlJPa/M71FvNHlKr10sMqFMW280r/f95C+fkyQtqinR/PTvsdzvUU/O7mBlBQyBZjM+dQAAAADAlPvP+/fqtscO6rI1DVrZUKbXnDFXAa9LLiNddvqcU77/hzat0AcvXn7Sc198HpcSqfzPyJmOdqdDoNY8h0AZL19cnf15XlVAPU39FUeztR2r0AiBAAAAAABTbndTt9YtrNJ/X7dxwPEdn3+dPO78BAQu18nfx+t2Tcqg5OmoPwSK5e2eiZzPbnldWfbneZUlOt4V0fev26gbf7czu2MYphYhEAAAAABgyh1oCemC5bVDjpekBzoXitftUixhC7qGqZJpB+sIx5RIpuRxn/oG4l3peUo1pT799cXLssf/9tKVau2NaePSGt35kQtP+XUwMYRAAAAAAIApFY4ldLwromV1pYVeyhBet5kVlUDxZEr7m3tVHvCoJ5JQeyimhorAKd+3I+yEQJ+94owBA5g3LK055Xvj1J16zAcAAAAAwEk41BqWJC2vn34tQbOlHexQa0ixZEoXraqTJB3riuTlvh1hp7WsptSXl/shvwiBAAAAAABT6kCrMyB4elYCzY4QKNMK9uoznCHcR9rDeblve8gJgaqDhEDTESEQAAAAAGBKHWwJSZKW1gULvJKhvB6XYsmZPxNoT1OP3C6jTac1SJIO5ykE6kxXAlUFvXm5H/KLmUAAAAAAgCnzpXt36dsP7ZfLaMDMmOnC5zYDdriaqV5qC2tBVYmqS32qK/PlrRKoJ5KQJJUHCIGmo+n3TxwAAAAAYEbqjsT13c0HVB7w6KOXrCz0coY1W9rBIvGkgumd2OZUBNTUfWozgRLJlBIpq1A0KUkq8xM3TEf8VgAAAAAAU+KRPa1KpKxuu27jtN0tygmBZn47WCyZks/jTIjxuF1KpE7tPd/w2xe141i3Xr64SiVet9wuk49lIs+YCQQAAAAAmBJ/2tmkqqBXL1tcXeiljMjrdimWmPmVQLFESj53OgRyGaXsxEKgG37zoh7Z26IDLSE99VKHjnVGVBag3mS64jcDAAAAAJh0yZTVg7ubdcnqhmldJeJ1m1nRDhZL9FcCuY1RcgKVQF3huL7/6EFFE0l19jkDoR/d38rOYNMYlUAAAAAAgEn3zOEOdYTjunRNQ6GXMqrZMhMotx3M5ZJSE3jLu050S5L2NvXqUKszWLozHGce0DTGbwYAAAAAMKm6I3G97ZbHJUkXn1Zf4NWMbtbMBMppB3O7Jlb9tOtEjyTpyUPtA44TAk1fVAIBAAAAACbV4TanSuSqDYtUWTK9tw73eoxis6ESKKcdzDXBdrCdx7uHPV5KCDRtEQIBAAAAACZVa29UkvT2DQsLvJKx+dLtYHaCg5KLRTR3JtAEB0PvTFcCZaxbWClJKmcw9LRFCAQAAAAAOCXRRFJ9seSI59tDztDg2jL/VC1pwrxul6zVhCpjikk0kZL/FAZDJ1NWewaFQOsXVUmSSv3u/CwSeUcIBAAAAAA4Jdf/6nm987tPjHg+EwLVlE7/XaO86Tk5iRkeAsUSyexMIJfr5EOgw+1h9cUHBn8N5X5dsrpeG5fW5G2dyC9qtAAAAAAAp+Splzp0uD2s3Sd6tHpuuSRn5kwomlB1qU+tvTF53UYVRdAm5HU729fHkikFvDO3oiV3dzC3Ofl2sMw8oIqAR92RhOrL/XrX+Uv10UtX5X2tyB8qgQAAAAAAExaOJXS43Rn8fOf2o9nj33hwny6++UE1doTVHoqqptQnY0yhljlumWAknpjZw6Fjg2YCnWwl0K7j3XIZ6fIz5kiSbrtuoyqD03voNwiBAAAAAACnYE9TrySp1OfW3duPZQcqH2kPqyeS0PW/el4nuqOqLZ3+84AkyeNKh0AzeJv4RDKllJV8bqfSyeUyOtnut50nerSsrlQ3vvks3fquc3TmgspJWCnyjRAIAAAAADBhj+5rlST91UXLdbSzTy+lt4NvD8XkcRn9eV+rNu9p0VlFEhJk2sHiM3ib+Fj6vfW3g538IOydx7t1+rwKlfjces3auXlfIyYHIRAAAAAAYMIe2NWssxZU6sqz50uSnjjQJknqCMd04co6vXJlnSTpvOXFMSw4E4zEckKgSHz03c+KTSwxMAQabTB0OJbQ3c8eG3CsOxJXY0efTp9XMbkLRd4RAgEAAAAAJqQ9FNPThzt06ZoGragvVV2ZPxsCtYdiqi316ea3r9PVGxfpstPnFHi145PZHSyWMxNo3efv09rP3luoJeVd5r35xzEY+h9+8aw+9rNntLepfzv4zM+r55RP8kqRb4RAAAAAAIBxC0UTSqWrRh7a3SxrpctPnyNjjM5bXqMtB9tlrVVHKKbqUp/mVZbopr9cp8qS4hgaXFfmzC460RXJHoslUic9M2c6298SkqRhB0Pva+7VB360TeFYQpL02P62oc9vdp6/ak7ZVCwXeUQIBAAAAAAY06P7WvW6r23WmZ/7g17/n4+oJxLXn3Y1q6Hcr7Xznbag85fV6HhXRHubexWKJVVT6ivwqk/e6fOc6pYX01ugz0Tv/O4TkvorgXLbwb754D7d92KT7nn+hCSpMxyXJEVzKqP2t/bK6zZaUFUylctGHhACAQAAAADG9NvnjuultrDecOY87W7q0QO7mrV5d4suXdMgl8sZpnz+8lpJ0q+fcbaKL8YQqDzg1ZLaoHYc6yr0UiadO/17cxujZLodbFFNUJJ0y8P7BwzHzp2RdLAlpCW1pfK4iRSKDb8xAAAAAMCYWnqiWlpXqq+842y5XUY/fOyQeqIJXbqmIXvNyoYy1Zb69O2H9svtMtmh0MVmQVWJmrujhV7GpDvW2SdpYDtYwOvEBHube/Wle3Zlr82dkXSgNaRldaVTuFLkCyEQAAAAAGBMLb1R1Zf7FfC6taqhTE8f7pTP49IrV/UHPcYYLa93woFzllRnq0qKjcftUmImDQEawZvWL5DkhECZOU+RnF3QfrLlcPbnTAiUSKb0Ulso+3tGcSEEAgAAAACMqbUnqvr00ORM29fqOeUK+jwDrptb6cyJWVhdvPNiPKNsmV7sEum2rv97+WmaUxGQlK4ESreD9cWTCnhdKvG61RdPammtE+RlQqDGjj7Fk1Yr6hgKXYwIgQAAAAAAo7LWqqXHqQSSpPdduEzGSB+9dOWQazNB0bzKwJSuMZ/cLjNjK4FCUafSpyzQH965jFEq3e3VF08q6PNoUY0T4r3lZQsl9c8EOtjq7Ay2jEqgokQIBAAAAAAYVUtPVLFkKhsCLa4Nav+Nb9Br184dcm1mVvDgCqFi4nUbJVOpsS8sQj1RZ7evcn//78ftUn8lUCylEq9bi2uCCvrcevUZcyRJ0YQTHp3ojkgSO4MVqeL9pxIAAAAAMGke29equ589pk+8ZrU+8tOn5XUbnbu0Jns+syPYYAGvW1L/9uPFyO2auTOBMpVApbkhkOlvf4uk28E+fvlpuva8qCpKnOsy7WChaGLI81E8+K0BAAAAAIa4ZfMBbd7Tot89d1w90YS+/s6X6ayFlWM+7/0XLVd3X1zvPHfxFKxycnhcRomkE4r8n+9tKfBq8qs3XQk0oB0sHeilUlaReFIlPrfOXOD8rlt6nF3S+kOgdIjkc0/ZmpE/xRvNAgAAAAAmRSSe1JYDbTp3WY2S1ur85TW68uz543puZYlXn3/TmUVdKZK7ZfrzR7sKvJr86ok4lTxlgyqBJKclrC+eVIm3P+DxpSu67nuxSamUVTiWkN/jksdNnFCMivefSgAAAABA3llrtfVQu6KJlD70qhVau6Ai2+I1W3hcRolUStbabPuTJCVTVu4R2uCKRaaSp3yYSqBkygmBcgOiTFvfI3tbdfvWIwrFEkUd8M12/OYAAAAAAJKcEOC6257UI3tb5XO7dN7ymqIe8DxRHrdTCRRNpAbMBoonU3K7ijsQ6wjHJEkVAW/2WCbYSlmrvlhSdekd3iTJl1Px09wTUTiaVJBWsKJF/RYAAAAAQJJ0+9bDemRvqyTptWfOnZUBkCR50oOhw7HkgOMzYVh0a68z46e2zJc9lm0Hy8wEyqn8yh0AHvC6nUqgWfp3MRPwmwMAAAAAqCMU081/2K0NS6r1N69aoYtOqyv0kgrG7TJKJge2gklSPJGS/CM8qUi09cZUFfTKm1Ph0z8YWkNmAuUKeFwKRZMq9VMJVKwIgQAAAAAA+vETL6mrL64vvOVMrZlbUejlFJTHZRRPpdQ7OARKpQq0ovxp7Y0OaPeSJHe62CeRSqk3klDJCO1eXo9LoVhiwMwgFBfawQAAAAAAauwIq6HcP+sDIKl/d7BwbFAIlJwZ7WB1Oa1gUv9MoJ3HexSKJbV2/vB/A/FEiplARY4QCAAAAACg9lBc1UHf2BfOAs7uYFa90UEzgZIzoRIoptpBlUCZdrDNe1skSa9cNXwrYCyZYiZQkSMEAgAAAACoMxwjBErzuF2yVuqJxAccL/ZKoKOdfTra0acFVSUDjmcGQz+8u0Ur6ks1r7JkuKcrGk8pHEuyRXwRIwQCAAAAAKg9HFNNKSGQ1N8e1dU3OAQq7kqgG3/3olwu6T2vWDrgeKYSaHdTj165cuSB4N2RuBMW8ndStAiBAAAAAGCW+5dfP68DLSFVBb2FXsq04BkhBEoUcSXQY/ta9fvnT+jDm1YOqQTy5GwDf+EwIdAP3rtRkrSnqVcpK62oL53cxWLSEAIBAAAAwCwWiSf10y2HJUl+DwN/pZErgWJFXAn04ydeUkO5Xx+4ePmQc+6cEOj8FbVDzm9a3aCqoFc7j3dLklbUl03eQjGpCIEAAAAAYJay1upVNz+YfXy8q6+Aq5k+MpUx3UMqgYozBDrRFdGWg+06e1GVAt6hQZ/L9IdAFYHhq8H8Hpeae6KSpGV1VAIVK6Y5AQAAAMAstfVQh5q6nS/2y+tL9bHLVhV4RdODx+3US3T3DdwiPpEqznaw87/4J0nO73g4mUqgslEGPmeqxOZWBBgMXcT4zQEAAADALPWzJw+r3O/Rlk9dpiDbfmeNNBOomNvBJKmyZPgqn0wlUNA3cjugz+MEYyMFSSgOtIMBAAAAwDjsOtGtG3/3otpDsUIvJS86wzH97vnjesvLFxAADTLSTKBiHQydeT9vXr9g1POjVfj4CYFmBEIgAAAAABiDtVa/3Nao7z5yUK//z8166qWOQi/plN35zFHFEim989zFhV7KtONxj1AJlCjOSqASr1vvvXCp5g/aFSwj3f2mkmHmBWVkQ6A6hkIXM0IgAAAAABjDB3/8lL7354OqKfXJ43LpM3e+UOglnbKthzq0qKZEp8+rKPRSph23y/mqPDgE6osnC7GcU2KtVSiWGHXeT6YdrNRPO9hMRwgEAAAAAJL2NPXo//58u97131v0ky0vDTh334tNkqTFNUH9n/OX6MXj3TrRFSnEMvNm5/FunT6XAGg4I80E6oslhrt8WgvHkrJ29FYvm+5yG60tMDMYmu3hixshEAAAAABI+vnWI7r72WN64WiXvrv5QPa4tf1zYJIpq/OX10iSnmvsnLS1WGv1862HdbgtPCn3D8cSOtgWogpoBJkQaLBwrPgqgUJRJ7gaLQTKvK/RBkP7PS75PK4RW8pQHJj+BQAAAACS9jb3as3ccl1x9nzddM8utYdiqin1qaUnmr2mL55UfblfktQRnrwB0TuOdeuffvW8JOmx6y/VV/+4R883dumLf3mWXr64+pTu/e/37tLWQ+2yVjovHWhhoMxMoMGKMQTqTYdA5aOGQM41o1UCLa8vU188mR0ijeJECAQAAAAAkvY392rj0mqtX1QlSXq2sVOXrG7QoZxqnBX1paoO+iRJHeH4sPfJh8f2t2Z/ftM3H80GUQ/uaj6lEKgjFNO3HtovSVpYXaLzl9We2kJnqMxMoMGKcSZQKOqseTyVQKPNBLr+9WsGVMWhOBECAQAAAJiVkimbrWroDMd0tLNP18xZrKW1zuDbxo4+SdLxLue/P/3G0/WOjYsU9Lnl87gmtRJo+5FOLa0N6l0XLNX/++2LqivzKejz6EBLaEL3S6asbt18QKmcL/EXLK+Vi6qOYeW2g330kpVaVFOim+7ZlW2tKia92XawkQOeK86er18/c1QfuHj5qPcyhr+XYkcIBAAAAGDW+cp9u/WDxw7poX/YpNoyf3bw80Wr6rLtXp+58wWd1lCWHQB99bmLszssVQe96ghNXgh0rDOihdVBvfcVS7XjWJeW15XqqZc6tK+5V92RuMr9nnF/IT/YGtIlX35oyPGXnWJb2UyW2/JUU+rTVRsX6+t/2qe+ImwHywRXo+0OVlPq050fuXCqloQCYjA0AAAAgFnnru3H1BNJ6MM/eVqplNXmPS2aWxHQWQsqBwQA//zr53W8K6Jyv2fAl+jqoG9S28GauyOaUxGQy2X01Xes10cvXaVVc8q1u6lH6z53nz7/mxfHfa/tRzoGPH7/K5fptvdu1NUbF+V72TOGN2cmUKaCJuhzF+VMoMwOZ6O1g2H24K8AAAAAwKyTCXS2HGzXA7uataepR2vnVwyprqkr9et4V5/mVgYGHK8O+tQ5Se1gqZRVc09Ucyr8A45/8OLlWlpbqu/9+YAe3deqpnRQNJZYIjXg8RvXzaMKaAy5M4Ey4UnQ71G4CGcCPdvYqaDPrcU1wUIvBdMAlUAAAAAAZp3mnqjeds5CLawu0X89uE8HW0NaNac8e35htbMNdktvVE8caNfSutIBz68u9ap9ktrBWkNRJVJ2SPBUW+bXNect1tr5ldrb3Kvz/u1P4xrUm6lY+srbz9Zr187JDr7GyHJnAmVDIK9bfbHimwm05UC7zllSLa+br/8gBAIAAAAwyySSKbWFoppfGdBfX7Rczx7pVDxpddqcsuw1d33kQm1YUq2DrSGlrNW/vOH0AfeoCvrUmed2sEf3ter9P9ym9/9wmySpoXz4Kp/aUl/25x3HutUVjme3+B5ORygmn8elt758gb7zrg0M9x2H3JbA0vS26cXYDtYeiml3U4/OX84ucHAQAgEAAACYVVp7Y7JWaqgI6B0b+ufibFrdkP25tsyvS9Y0yBjp6+98mZYNqgSqCfrU2RdXKpWfLbP7Ykl98MdPafuRToWiCb3xrHnatLp+2Gszg6sl6fH9bXrrtx/Vp3/9woj37gjHVB30Ev6chNz5T5mZQCU+d9ENhn7yYJsk6bxlNQVeCaYLZgIBAAAAmFVeanO2WZ9XGVCJz627P3qh3C6jmpwKG0m67hVLdemaBp0+r2LIPaqCXiVTVj2RhCqD3lNeU0tPVL3RhD57xRl6+4bRBzaXePu3+v7RE4d0pL1PdWX+Idcdag3pod3NOtYZUXXQN+Q8Rpb7eeZWAoWKpB3sn+94XiVet1LWKuB1ad1CWgDhIAQCAAAAMKts3tsit8tow1KnOmKkL8ilfs+wAZCkbKjSEY7lJQTqjjitZRUlY98rmjPo+Uh7nySpJzI0nPifJ17S9/58UJJ0Ae1AJ6XE1x+0ZWYCBbzuIUO2p6ufPXlYkrRmbrnOWVItn4cmIDj4SwAAAAAwqzy4q0XnLKlW5TgCl5FUlzrP7cjTDmGZEKc8MPb/T/+2cxbq5YurtGGJs8NXwOvKhki5OsJxVQQ8Wr+oShesIASaqExrmM/tGhDAFYPdTT06bxm/e/QjBAIAAAAwazR1R/Ti8e4R5+2MV24lUD70ZCqBAmMHU/Xlft3x4Qv1F+vmaV5lQFeePV/dfUNDoK6+mBZWB3XnRy7Uxy5blZd1zkYBr/O12e8tvhDIWjEUGgMQAgEAAACYkX733HG19EQHHHt4d4sk6ZKcIdATkQ2BQvnZIexkKoEyrrtwmR75x0s0tyKgnmhiyJDqznBcVXloVZvtMgO1/R63kimrRHJ6B0HPHukc8PjsRZUFWgmmI0IgAAAAADNOV19cH/np09p44/0D5rg8uLtZcysCWjO3/JTuX50eIt0Wio5x5fhk2rnKx1EJlMvjdqmixCtrpZ9vO6KrvvO4oglnB6vOPkKgU/G+C5dpfmUg+zgzVyc2zUOgN33z0ezPcyr88nvco1yN2YYQCAAAAMCkstbqsf2t6o7EtftEz5S8Zmtvfzjzju88rqOdfYonU/rz3lZtWl1/ytulVwQ8Cnhdau7OTwg0kUqgjMxzHtjVrC0H2/W/W49IciqBTmXu0Wz3r1ecocf++bLsY38mBJrGLWHxQQHVFevmF2glmK4IgQAAAABMms5wTJ/432d1zXe36D3ff1Kv+8/NevFY96S/bnvImdXzznMXaW9Tjz571wt66qUO9UQT2nSKrWCS0yI0tyKgE92RU76X5MwECnhd8rpP/itaZo7Q8S5np7BvPLhPkXhSXX0xVZawNXy+ZCqBpvNcoM5wf3viuctq9E+vX1PA1WA6IgQCAAAAMCmeeqldr7jpAd3xzFFJ0jOHO2Wt9B/375n0186EQNeet0SvWFmnxo4+bTnQLmOkC1fmZ1BuQ0VATTkh0JMH2xWODd2qfTx6IomTbgXLyGwrf6wzIr/HpabuqL73yAHFk5Z2sDzKtFVF41MfAt3+5GH96qnGMa/LHVR+9cZFEwoVMbPxFwEAAAAg7/Y19+i3zx1Xylrd+/GLFPT1zyX544tNeq6xc5Rnn7pMCFRT6lNtqU9toZheag9pXkVgwmHLYHMrAmpKt4O1h2J6x3ce18dv3z6hezkh0Mm3gknKfrbtoZjOmF+hVQ1lumv7MUlSNSFQ3mTbwZLJKX/t6+94Xp/4xbNjXtcR6g+Bgr6J/T1hZiMEAgAAwJT5084mPbynpdDLwCTb39Kry7+6Wbc9ekgrG8q0Zm6F5lQ4A3aX1AZVHfTqOw8fmNQ15IZA1aU+dYRiOtwW1qKaYN5eY26l0w5mrVVf3AkGHt3XOqF7dfbFsjuOnazcL/tlfo+qS33a29wrSZpfVTKhe2KoTDtYpACVQMPpDMf0hx0ndMfTjWrucSrSOnLawUr9DITGUIRAAAAAmDJ/9cNtes/3n9QfX2waci6RTA3ZzhvFqamrv0VqZX2ZJKmh3C9JWlQd1MsWV+tIR3hS19DWG1PQ51bA61ZtqU+JlNWOY91anMcQqK7Mp1gipd5oQn3pNrBQLClrrR7e0zJky/bBjnX2ZUOjznBcVRMc4pxbZVUe8KjM3x8KLSAEyhv/NJsJdNM9u/TBHz+lv//fZ/Xth/ZLcoKhDI+Lr/sYalx/FcaY1xljdhtj9hljrh/luo3GmKQx5m35WyIAAABmgtxZKZ+58wX1RPr/H+ub7tmllZ+6RxtvvH/I7jYoPm05LSkbltZIUrYSqKbUpxKfW6HoxGbnjNfh9pDmVva/piT1xZN5DYEylTsdobjCsf4Wod8/f0Lv+f6T+tHjhyRJP3vysN5+y2O6+tbHs0FnJJ7UK256QNd+b4v2Nfc6O3lNsHWrJCcEKvN7BoRCVALlT2YmUCF3B8t97fZQTMvrStVQ7ld3n/PPU24lEP9biuGMGQIZY9ySvinp9ZLOkPROY8wZI1z3JUl/yPciAQAAUPwyW2m/+4IlauqJ6OY/7JYkbT3Urlse3p+9rq03NuzzUTwy27M/ev2luubcxZKktfMrJEm90YRKfe4BoUm+JZIpbTnQrvOWOQOgq0v726zWzKvI2+tkwqWOcEx9Oe/npfaQJOl4uiLqa/fv0dZDHXriQLt++5wzqye36u22Rw+qqy9+Cu1guSGQN1sJVFfmV8BLS1C+9O8ONvUzgTLacwLWcCypqqBX5QGPIul2xEwlkNdtdNaCyoKsEdPbeCqBzpW0z1p7wFobk3S7pDcNc93fSvqVpOY8rg8AAADTVCSe1KHW0Livb05/6X31GXP0nguW6sdPvKRfbDuiv/vZM1pQVaKvXbVekmgJmwHaemNyGWleRUAul5EkXXH2fEnSvMqAgj7PpFYC7WvpVU80ofOWOVVI9WX+7Ll1C/P3xTgTLrWHYwrH+4OB9t7MF3GXWnqi2eHRUv88me50JVx10KtfPtWo3mhiwu1gAU9OCBTwqDQdAs2t9I/0FExAdjB0ASuB2kL9f0uhWEKlfo+CPk+20rIjHNPcioD23viGAeEnkDGeEGiBpCM5jxvTx7KMMQskvUXSLflbGgAAAKazT9/5gjZ9+aEBbV2jyQwubSgP6B9eu1pel0uf/OVzOtYV0RfecqaW1DptOi29kdFugyLQFoqqptSfDYAkpy3p3o9fpH95w+kq9TuVQNaOPjNnojJB4oJqpxXqjHkVKk1Xy2Ta0vKhvx1sYCXQc0e7JDmVIzuOdQ14TiZAyLTvfPzy07IzZia6nXvu51zu92Tfa00pIVA+BbyFnwk0oBIomlTQ51aJ150dTN4eik/47wizw3j2jDPDHBv8v9Zfk/RP1tqkMcNdnr6RMR+Q9AFJWrx48XjXCAAAgGnogV1OAfiepl6ds6R6zOuPd2ZCIL/K/B7Z9L9S/tPr1uiS1Q1qTA8KphKoeDR2hPXTLYe1em65uvviuuLs+XrmSKe2HupQXdnQKoQ1c51WrKDPo0TKKpZMZees5FPmi3ImpHG5jB7/l8vUFR5fYDleNen7t4diqspp5Xr2SKckpxJox7HuAc/JtBJlKoHOWVKtV51Wr4f3tKhygu1gucoDHqXS4Vqpj1awfPK5nc9zqkOg3LA0FO0PG0OxhEp9HkXiqWwbWGd44rvMYXYYTwjUKGlRzuOFko4NumaDpNvTAVCdpDcYYxLW2jtzL7LW3irpVknasGHD5MT+AAAAmBIl6VkjzxzuGDEE+vSdz+uBnc26/QMX6IePH9LqOeXZ/5f6zesX6BdPNWZnxtSlW3YIgYrHHU8f1bce6p/n9Jm7dkhyhhN/7LKVIz4vE06Eo8lJCIePWwAAIABJREFUDYFqctphKgJeVQTyWyFRHvDI7TLqDMflz5m9kwkJvG6jpw93DnhOphKoJ5LIruuDFy/X5r0teRla3VDhVzy9KxnzgPLL7y1MO1gsZ8Bz7s99saSCfrfCMbeOpyuBOsIxrZ5bPqXrQ3EZTzvYVkmrjDHLjDE+SVdLujv3AmvtMmvtUmv/P3v3HR5HYeYP/Dvbi1a9Nxe5944B04xp4SC0EDocyS+Bu0BySUhIISEhvfdcOEIu7SChhFAMoWOwscHGvcuyrWZ17Wp7m/n9MTujWWlXWkm7Wkn+fp4nT6RtGouVtPPu+35faTqAJwH8x8ACEBERERFNLcrmmW+9cBCf/dsuNPXEr/yOREX8ZWsjWl0BfGfjQTT3+nHnuulQOse/dfUivP2FC9SNSBajHnlWY1x+Ck1srU4/inNMePwTa9XLfvrRpdjxwAZ84ty6pPezxTJrvKHM5AL1eOVMorxRZuykSqcTUGAzoscXUlfEr6jNj7vN4E4gZRxM7gTKtRpw1qxivP+VDVhWE3/f0Sh19I+7sQiUXiZ9doKhtUUn7cdKJ5BNE7Tu9IXjutKIBhq2E0iSpIggCJ+CvPVLD+BRSZL2C4JwV+x65gARERERnWb+b1sjOtxBrJxWgHnlDjyxoxnP7zmFR25fhXPnlAAAmnv96u1f2t8GAKgryVEvMxv0qBnQ+VBTaEVTb3wxiSaWXm8If9vehOlFNrQ4/agqsGHtzCI8/om12N3kxNXLq4d9DGWbVaY2hCnjWXpd8qiKdCmwmdDrDaHUIXeyrZxWoHb/dHlCONntw73rZyEYFfHXrY39mUCxcTDtJq90KHWYEYh9X5UMG0oPc5YygYIJikBRUUIgLMJmMsBiiiAQljO2nP4wCpgJRENIZRwMkiRtBLBxwGUJiz+SJN0x9sMiIiIioons9+80YFqRDY/ctgoFdhM+tX4WrvjlZvxte5NaBDoe2xz22Yvm4CevHAEATC+2D/m404rsODCgc4Imju0nenDr79+DPxzFrNIcSJKkjp6snVmEtTOLUnocuynWCZTGDWGSJOH37xzHRQvK0OMNjduJcIHNhB5vCP5wFCaDDos0a7mVbKDl0wpwwdxSvLi3rT8TyB+B3aSHQZ/eQk1RjhnWDIRgU38n0LiPg8UVgeTnj7INzG7WwxaQO4H6AhFERYmZQDQkloaJiIiIaEQaOj041unFnWfPUFcQV+RZcd6cErxztAtRUYIkSXh083EAwE1n1KKuxA6H2YCiYVYWTy+yoanHh0g0e9t3KLkX97VBlCRctqgc9R3y86Ayzzrix0l3J1BTjw9vHO7At144iPN++CY2HelMW2fNcArsRjh9YTmfxaTHgopc9bqdTb0AgIWV8mVmg07t6nAHwsjNwLiaXifgo6tr8OAVC/CxdTPS/vinM4NeB71OGPdxsLhOoNjvRuVnx2rSw2qSt4P1DghEJ0qERSAiIiIiGpFXD7YDAC6cXxp3+dqZhXD5w2jo9OB4lxdvH+3CVcsqUZxjxneuXoyvXbEAQ22SBYDpRXZERAnn/uANfP+lQxn7N9DoHGl3Y1ZpDs6YUahedumi8hE/jj02AuVJQydQKCLihoe34s7/3a5edv68UnztigVjfuxUFNpN6PGF0NEXhNWox4xiO8wG+TQrEBZhMujUnB6zUad2dXR5gmk9Wf/PC+pw4Tz5Z9Ko1+GOs2fAmOYuI4oV8sIiuj3jl12mLTopzx+li85uMsBq0kOSgLY+eQNjgZ3jYJRcSuNgRERERESKVw90YEFFLqoL4vN8lscCcXc1OdWTz0+eJ4cDnzGzCGekMCr0ocUV6PKEsOVYF3775jGcP6ckpfvR+Dja7sFZdUXqf/u5ZQ6sml44zL0GqymwwWzQ4ZN/3gGHxYAdX70IJsPoChZP7mhGi7M/f2r31y/OeCC0VoHNhE53EC/tb8OlC8th0Ouwenoh3qnvAgDkWvpPuUx6uRPI5QvjSLsHCypzkz3siN13yby0PRYlZzbo8H/vNeKRd47j+XvWxY3/ZUpzT//zWykCxXUCxQLAW2M/BwyGpqGwNExEREREKevxhrD9ZA82LCgbdN3M4hw4LAa8U9+Ff+5qgdWox+zSnASPkpzdbMDd59fhVzeuAADsaXal5bhp7Bo6PWjrC2BhVR6qCuQRsIsXDn4epCLPZsR1K+UAaXcggg53AJIk4ccvH8ahttQzoUIREb9+ox7LavLx4BULcPXyqnEtAAHxoze3nTUNAPDwbSvV4o8S/AzIYeihiIjlD70sh2rnj3yUjrLLZNCpBZgj7e60PrY3GEGnO77DSJIkfPxP/V1uwWj8drk8q1EtAp1yxTqBWASiIbAIRERERGnl9IVwxx/eG7QunKaGrQ3dECXggrklg67T6QRsmF+Gf+5qxRuHO/HpDbNHHXprMcUCWJkNNGE8/UELdALwb0sqML8iF89+6mz814Y5o368C+b2jxN2uINw+sL45ev1uOl/tqX8GM/tbkWL04//umgO7jh7Bn760WWjPp7RKtDkXCkn3zaTAQ6LXIzK0XYCGXRw+kMQJflzBjdPPmaDPmOP/aOXD+OGh9+Nu6w7lvOjUDqBXNoiUCxjS+mI43YwGgqLQERERJRW+1r68ObhTjz2XmO2D4UyoDFW3Jtd5kh4/a1nTkNtoQ2/vXkF7oqNgo2GUSe/TA2zCDQhHOv04Fdv1GPd7BK1cLGkOh+6MaxgXzOzf4ysoy+Ibq/cAdEz4KR3uOMy6AScO7t41McxVoWa/BVt0LOSCxTfCaTD0Q6P+rlhHFbYU3qZRzm2mIpOdxANXd64DKB6zfMFkEOiO/oC+OzfdwMA8m2aTiCnHzoByLWwCETJsQhEREREaaW8O/ns7lZIkpTlo6F0OtLuxv7WPhTYjHEntloraguw6QsX4LLFFWP6WjqdAINOYBFogvjSU3sBADetqUnbY+ZajHj+nnUAgE53AJ3u/uJPKCLiOxsPDhqNGajXF0K+zTRs4HgmaUdvHAO6fgAgx2yMu0z5tXjzGbW46Yza8TlISpvRZlelIhQRIUlAqzOgXnZ0QBEoFBHxrRcOwh+WC0V5ViNsJvl51+oMIN9mGlNxlqY+FoGIiIgorZQiUHOvHx80OrN8NDQSLl84adGludeHi3+6Cc/tbh23zBWjXodwlIXEbItERextceHq5VW4dNHYinsDza/IhU6Qx8G6NNuWtp/swcObGvDFp/YMef9ebzjroy+FmnGwHFN/EUgJR9cWhpRRouoCK7599WJ1SxpNHpnsBFJWwTdqxqmPaYpAZoO8XS4i9v+ethr1sMbGZ+s7PSh1mDN2fDQ1sAhEREREaaUUgYx6Ac/tbs3y0VCq3IEw1n3/dZz1vdfh8oUHXf/oOyfUjwdmVGSKUS+o+Rc0PtpcgbhRFEA+sfSHozh3TvpHrvQ6AUU5ZnS6g3Ert3c3yYHg7x3vGfL+vb5Q1kNwtZuYtB0YpkTjYEb5suW1BeN0dJRu2k6gdDegKT972ky9ox1uLK3Ow/HvfgjTimwIRUSY9NpjEGA1ys+xqCildeMcTU0sAhEREVFaufxhGPVyQPDze05xJGyS2HKsG+7YZppHNx+Pu+7hTcfw6Obj+OiqGnz+4jn49U0rxuWYTAY9x8HGUVSUsPa7r6lZIwplQ9uS6vyMfN1ShznWCdRfXPzTuycAAJ5gZMj7yuNg2e0E0q6A1zLq5QpBzoAV8QCwrCYz30vKvEwGQytFb20RqL7Dg7rSHAiCAJNBh1BURESM/7uqBEMDwOJxWFlPkxv7D4mIiCitXP4w8qxGLK3Jx4v72uAPR9W8Apq4ntrRjByzAWW5Zuxv7V/RvbWhG9/ZeAiXL67At69eNOptX6Nh0jMTaDwpXXyvHGiPu3xPsxMOswEziuwZ+bpyESiA4hwTShxmzC7NwZZj3er1oiglzTjp9YWxvCa7nUDJ8oiU+neiTiAWgSav8RgHa+qVi0B9gTDa+4KYXSoH8Zv08jhYIBzfrWfTFIHqSnIydnw0NbATiIiIiNKqzx9GrtWI/FhujDPBaBFlxz93tWD6/S/AO6C74vk9rXj5QDvuPr8ONYU2tPX51eveONwBo17Ajz6ydFwLQABgNDATaDw5fXInzsCT3D3NLiyqystY2GyJw4yOviAae3yoKbDiyqWVcdd7Qom7gSRJgtMXilvRPpG098nhviU5/RktpQ4LHBYDFnJkZ9LKRDD020c7Mf3+F3CyWy7+KJlAymawWaU56tcORUQ1P+ve9bMAABZjfxEo2+ORNPGxCERERERp094XQKvLj3yrUc3J6PWNT34MDe/hTQ0AgO0ne9XLuj1BPPDMPiytzsMnz52Jijwr2lzyyesbhzrwyoF2LK7Kixs3GC9GvTz6QOOjN1aw1Y67BCNRHDzVhyU1mRsxKXVY0OUJ4kSXD9OK7LhsUYU6SgXIheVE+gIRhKNS3Ir2bLnvkrn4xpUL4y47ETuhP29uiXrZrWun4Y3Pnx930k6Ti/bnQ0B6CqOPvdcIoH/8salHLsQPLgLp0eUNornXj1vXTsNnL54LIL4TKNvjkTTxsQhEREREaRGMRLHhJ29hZ6MTlflW9YVoopBhyo6ZsTGBrQ39ozavHepAry+Mh66SR70q8izo8oTQ0RfAv//v+2jo9GJRljImjHodwgyGHjeJOoEOt7kRjkpYmqE8IAAozTVDlIC2vgBqC23Isxlxw+paVOVbAfSPqQ2k5KZUF9gydmyp+s8LZuH2s6bHXfa9axbj2hXVKMu1qJeZDDoU53B702SmjPQBgIT0dCoOHCl0+cNw+cOo7/DAZNChpkD+WTDpdWjo9MIfjuKGNTXq7Y2aLs08FoFoGCwCERERUVq8e6wb7kAEM4rt+NoVC9QiUC+LQBOGL/Yu89H2/pXDR9vdMBl0WFgpF3rK8+QT1q2arUzak9jxxEyg8fOPnc24+68fAIg/yd3XIudDZTJsVrvSurZQLug8dNUi/OgjSwEkLwI1x3JTlPtMNDesqcWPr1+a7cOgNNNu5krXryedpgik/Dw09fhwyhVAZZ5FHcVVCrTXrahWf2cP5DAzg4+GxmcIERERpcXLB9phM+nx4qfPgcWoV0NRnX6Og00UXbHV7i3O/syfox0e1JXkQB/Le1kzvRAGnYAfvHRIvU22ikBGPTOBxkN9hxuf/ftu9WdWO+5ysscLk16nduVkQomj//lVkd//ca5VPlVJNg6mjMzUTIBOIDp9aIukUTE9VSBt3Nas0hx0uINo6vHBHZAz9hQ5ZgOsRj0+f8ncpI+VLKicSMFOICIiIhozUZTwyoF2nD+3RM26yIu9cH1+N9fETxRdbjlMtKW3f/3w0XYP5pT1b5OZXmzHnetmoLm3v1BUlpud8RVmAmWeKEr44lN71Z9XADBozkhbnQFU5FsyFgoNxHcClWoKQsox3fWXDwZtQwLkTiCHxcDxFxpXZk0nULqK1NpOoNmx/J/GHh/cgUjcdrn/umgOnrz7zKwV5mlqYBGIiIiIxmxXsxOd7iAuXlCuXqYUg95t6MZPXzmSrUOjGEmS0O2Vi0B9gQjcgTA8wQhanH7MKXPE3fae9bPiTsyz1gkU24RDmfP83lPYcbIXD1y+AHfEMm20BZdWpz+jXUCAvB1MoS045mu2HP1rf9ug+8mjMpk9NqKBzJpQ76iY/iJQUY4ZDosBLU4/3IEwHJb+IlB5niXpGBhRqlgEIiIiojF7eX87DDoBF8wtjbv8zx9bAwD4oNGZjcM67YWjIo51yvk/Tl8YgbCI5bVywO/RDg9+99YxAP2bZxQOixG/ummF+nlJloJsmQmUeTsbe2Ex6nD18io8eOVCXLOiCr5QFF2eIKbf/wJ2nOxFZYaLQNpNWdquhxyzAd+/djF0AvDE9uZB9+twB1GapS41On1pg9MjaSoCaZqLYDboYDcZEAhH4QlE4LCk1ulWnGPCzBJ7Wo6HpjZmAhEREdGYvXygDWfMLBw0lnHO7BKcPasI/gSjHJR59z2xG8/sasXOBy7CkXY3AOCOs6bj4Kk9+J9NDXhxn9xdMbATCADWzCjEe1+5EFsbelBgNw26fjzImUCjLwK9c7QLj73fiF/esDyj40yTlSRJONzmxqzSHPX7YzPp4Q9HcaC1T71dpjuBtAbmmXx0dS1OuQL4+WtH0dzri9sE1ukO8qSXxp3JkIlMoP7nvdmggynWBekOROI6gYby3pc3pOVYaOpjJxARERGNyfEuLxo6vXGjYFoWgz5hngdlliRJeGZXKwBgb4tLLQKtnl6IK5dWqgUgh8WQdLtSqcOCK5dWjs8BJ6ANho6KEu768w58d+PBlO//4HP78cKeU9jVzE60RH7z5jFsOdYdl8NjNerhD0XR6+sPdF9Snfnxk0K7Ka4LSOvaFdWQJOCpHS3qZZIkodMdjDt2ovGQiU4gbfHTbNTDqBcQjIjwhFLvBNLpBBa7KSUsAhEREdGY7G6ST7DPmFmY8HpLrLOAxpeyOQkAXj3Yjr9vb0auxYCKPAtuO3O6et2Lnz5H3Qw20Rj1/ZlAPd4QXtrfht9taki5qKgUL14/2JGxY5zoIlERTT2+hNe9cUj+vly8oEy9zGoywB+OotUZUC9bXluQ2YMEsOX+9dj+1cSdDDWFNpxVV4QnP2iCGDvpdvrCCEXFuOwqovGg3Z4XTdv2wv7HMel1MBn06PWFIElc+U7pxyIQERERjdquJic+87ddAIC6kpyEt7Ea9QiEWAQaL22uAL7x3H78ddtJ9bI/vXsSxzo9+N61SyAIAhZV5WFZTT5sJv2EDtY1GfozgbSFH28wktr9Y0EbLU7/MLecup76oBnn/fANbD/RM+i6sChh3axi3LCmVr3MZpJPcHc29gIAbllbi8JxGAe0GPVx2UADfWRVNZp6/NgRO65OjxxyXsIiEI0zUwY6gUKR/scxG+VxsI4++Tme6jgYUar4jCIiIqJRe/VAu/qxUZ/4vSWLUYcANzyNmy88tQebjnQCkIsgz95zNh7e1IC7z6vDbE32z/evXYKT3d4JPT5g0mQCaYtA7kAERSmEVSsdaF2xgsHp5GS3F5IEHOv0QpSA+5/eixfuXRfXxdDq9GP9gDB3pZj78oF2zCnLwbeuWjyux53MmTOLAQCH29xYPb1QLQTm8ASZxpk5LhMoTUUgTfaZxaCHSS+gocsLACmPgxGlir81iYiIaNSUGINf3rg86W2UjBHKLEmS8M3nD2DTkU58dFUNVs8ohEEnYF55Ln5y/bJBt59b7sDc8sGB0BOJNhNIO1LoSbETSHnedXtCw9xy6vAEI/j6P/fj6Z3NsBr1kCT5pLW+w4PfvnkMn9kwBwAQjETR6Q6iIj8+U+eiBWV4+wsXYOPeU0m7+7KhxGGGQSegNdbVpTwfLIbk3UNEmaAtpKavE6j/91tlvjWu22htklFrotHiOBgRERGNWpcnhOIcE64YIjzYYtQjEIlCktKVnUCJHG534w+bTwAAagqtuG5lNa5aXpXdgxojo0GnvkOuLSS6AykWgcbQCfSXrSfxvRcPjfh+2fa395vw1AfNuGJJJfKsRvjDUSyszMVVyyrx6zfqcazTA6A/MyrR5q+aQhs+eV4dNmiygrJNrxNQlmvBH7ecQJcnqHaGWU0sAtH4Std2sEA4ivuf2oP2voCafQYA04ps6ijr5YsrUup6JBoJFoGIiIhoRHq9Idz+6HvY0+xEtyeIIvvQL1AtsW6EYJpGwjrcAXz415vx6zfq4QulVgyYDALhKC792Sb8c1fL8DdOYHN9t/rxVMlJUVbES5IUN1LoDoRTur9SKOjxhtRA4VT9ZetJvLTv1Ijuk20dfQE8uaMZDrMBP79hGb5/7RIAQGOPH/ddOg/hqIR3jnYBAN49Jv//6umTp8vA5Q/DG4riOy8cRCAsPx+sQ+QIEWVCuraDHTjVh8ffb8Jj7zXGjYPZzQZ1vNps5Ok6pR/HwYiIiGhEdjU78daRTuxtcSHHbEB1wdDBwspJWiAcHTL4dSBRlBARpbh3XQHg0Ck3djc5sbvJied2t+LFT58Tt153MuroC+Cnrx7BoTY3Pv34LnT0BfH/zp05osfYXN+lfjxVikBmgw6SJOdlaDuBUh4HixWBIqKEvkAY+bbUAo7dgTCOtLtRMYFDsxO58CdvwR2IYGaJHYIgYM0MucDz0dXVqMyzwGLUoblX3hS2ub4b1QVWTCuyZfOQRyTPaoQnGIFeJ6jPBxaBaLyZ0pQJpHQ0/mt/+6ANYMrXGMnfTKJUsbRIREREI6JkcoQjIhp7fMO2qlvUItDIOoEe3Xwc5//wjUFjZEr3z+WLK3CozY1eX2pdIRPVobY+nPODN/D4+03qZd/eeBC/ev1oyiN04aiIbQ2aTqAcyxC3njy0z53AKDKBtM+59r7UR8J2N7kgSvFhrROVJEnYXN+FW3+/TT2pdMZ+JixGPQ49dCk+d9FcCIKAqnwrmnvln9+DbX1YWp0/qQqof/rYGgCAQS/0ZwKZeDpD4ytdnUCe2M/rwVN9aOjyoirfitc/dx6A/iIQi5yUCfytSURERCPS0uuHQSfgr//vDDjMBkwrHLqTwBo7SdMG+6birSOdaHUFBhWPvEH5cVZOKwAANPb4RvS4E0kwEsXPXz2KcFTEK/91Lm6MrepeXJWHH718BA89fzClx9nd5IRX0ylTmJP5ld7jQdtF5g+PIhMoFMXMYjsAoMWZ+vPkg9ga8tAk2Gr32sEO3PzINhxqc+Pj62YAAAps/duELEa9ugGuqsCGFqcf/lAUjT0+zC6bOMHPqagryUFdiR19/ohaFGSnBI03s+Y5FxlDoVg71trlCWJ+RS5mxsLYlUwgC8fBKAM4DkZEREQj0ur0ozzPgiXV+Xj7ixfAbh765YSyvScwgiKQJEnY0+wCIOeAaMNflU6geRXyZqvGHh+W1eSP6N8wUfx9ezNe3NeGEocZs0od+Orl83H18iqsnl6Az/19N/747gl84dK5w57ovlPfBUEA/nznGfjnrhaU506NTiBb7L+7PxSNe/40pVj4C4SjWFCZi4Yur9oBkwqlCBSeBJ1Ah9r6AABvfP585JgNmFPuwJokOT9V+Vbsa3HhWKcHkgTMKZvY2+ESybUa0RcIcxyMskYp0ABj7ASKdTROK7LhZLcvrsNI6dDj9jvKBJYWiYiIaERanQF1o1C+zaQGWCZjUU7kR1AEOtntg8svv0uq/L9C6XiZV54LAGjs9qb8uBPNyS752L979WIAciDomhmFEAQBFy8sR1SUMO+Bl4YtoG2p78biqjysm12MH35kKfS6yTPiMxSl+HX+j97EyW658FOZZ8Hj7zdhX4tr2Pv7w1HUFNhgMujQkmIRSBQl7Gx0ApgcnUA93jBsJj1yYsXY61fVYHqs+2mgijwLerwh7G+Vv3ezSydXJxAAOCxG9AUi8IejMOiEYX//EKWbNqx5LJlAfbGOxmuWVwMAjPr+39tKkD073SgT+FuTiIiIRqTF6U+4VjoZdaQnlHoRaHezU/14YBHIF4xAEOSRlxKHeVKPg/X4QqjMsyRcxb2kOk/9eKh/ozcYwQeNvTh7VnFGjjGbtB1gT2xvgiAAT959FgrtJnzz+QNDZiZJkgR/OAq7WR+XhTOchi4vXP4wqvKtiIjSiLeKjTenL4SCFAOvS2OB4e/Ud8OoF5IWiyayXIsBbn8YgbDILiDKinRmAuWYDbhscTmA+MBpUVKKQDxdp/Tjs4qIiIhSFomKaOsLoHIERSBlpMc7kiJQU3+XR9+AIpAnGIXdZIAgCJhWaFM7RCajTncQJUlGtyryLDhzZhEAqBudEvmgsRcRUcJZdUUZOcZs0p7ke0NRWAx6VOZb8dmL5uC94z341/62pPcNRkRIkvxOenWBFc3O1IpAe1vkAuTq6XLmVFic2N1Avb4QCuzG4W8IoCz2XNtc34UZxfZJ2UWj7QQyswhEWaAdB4tGx7IdLAyHxYDZpTnYML8MK2oL+h83VgQycxyMMmDy/eYnIiKirOlwBxEVpREVgRwW+QRVG4I5nD3NTnXN+aBOoFBELSzVFtrQ1OMbUd7QRNLpDqIkyXY1QRDwixuXAwDu/N/t6PGGEt5OGXOaMQm7OoYzsNND6Qy6YXUN5pTl4Oev1Se9r5IZYzHKnUAtQxTStFqdAQBQA1on8khYjzeEt492pdwJpPxM9XhDmD0J84AAINdqQF8gjEA4qobOE40nQRDUrp2xZgLlmOU3NB65fRVuiC0GAAClyVE3RUZ7aWLhb04iIiJKSTASxYafvAUAqCpIvQiUa5GzSgZ29CQTiYrY1+rCObPl8aZEmUBKGHVNoQ2trgDmPfAS9jYPnxEz0bT3BdQT80SKNVu+3j7amfA2nW559flQjzNZaU/yq/KtsMROvAx6HTbML8PRdnfS7TynXHIxpzzXguoCK7o8oZSKhR19ATgsBvV5Gx7DO/2Zdvuj7yEiSnGdCUMp03SdzSmdnEWgIrsJoYiI3c1OjoNR1igjYdExdAq6AxE4LIkXKyjjYJOwWY8mAT6tiIiIaFjdniA+9X874Yt1Vwy3Fl6rvxMotbXe9Z0eBMIi1s1KXATyBfs7gZbV9m8F23a8O+Vjmgie2N6EXl8YM4qTfy8FQcCG+XJe0LHOxAHYHe4g8m3GKTk2oA1Ffeiqhbj7/Dr18xnFdkREKWnWT1Os86em0KoWLVPJBepwB1GWa4Ep9v2cqBvCJEnC3lg49t4UQrIBuYCimDPJ1sMrrl1RjWlFNjR0elkEoqwxp6ETSO5qTVwEUgKndQI7gSj9WAQiIiKiIfV4Q7jkZ2/jrcOd+MKlc/HEXWeOKFDWZNDBbNDBHUytCKR0ttQW2uCwGBJ0AkXUTqAL5pbil7GRqROTaEuYyx/GtzcexJrphbjtzOlD3vaR21dhZokdh2OrwAfqcAeSjpR/Y7g9AAAgAElEQVRNdtqT/PXzynCr5ns1s0R+Dh7viv/v7g9FEYmK6hr52kIbqgvkQlvLMLlAj73XiBf3taHAZlQ39UzUcTCl0wkAvnDpvJTuo9MJKMuVnyuzJ2kRqCjHjD/++xoU2k3IS3EMjijd7jhrOoCxbQcLR6W4MGgtdRyMRSDKgMSlRyIiIqKY3c1OdHmCePSOVVg/b/AWq1TkWo0pZwJ5Yh1DdrMBeVbjoDEybzCKIs2Y1BVLK/HHLSdwpM0zqmPLht+8WQ+XP4yvX7kgpRXA88tzsa81cbdHhzuI0twpWgQyJf/e1BbKRaCBm9Pmf+0lXLygDBV5FjhizyFlm50SsB0IRxN+3/+45QQAubPmlrXTAAChCdIJJEkSnt3digvnlyHHbFAzon5360pcsrA85cf52yfOxJM7mjGzeHIWgQBgerEdL9y7DgJ4gkzZ8an1s/H20S5ExjAuGoqIcWvhtZTikp6ZQJQB7AQiIiKiIbXGuicWVOQNc8vkHBYD+oYYB9N2W3hiHUM5sRN4bSeQJElo7PGhIi8+k2huuQOH2vqGXBk+3jzBCI60u7HjZG/c5W2uAP6w+QSuXl6FhZWpfU/nljtwstsHb4JuqjZXAGWOxBvGJjvLECNuykigX5Pzo+QDvXygHa8e7MDi6jwIgoCyXAsMOgEtvX78ZetJzHvgJXT0BQY95opp8naer1y+QM3ZmSjjYIfb3fj047vwmcd3AujP2Mq1pLYZTDG92I7PXzJ30gfOVuRZUZ43NZ/3NDnodQIkjKUTSEy6oW9xtfy3oXoE+XtEqWIRiIiIiIbU6vTDoBPGFDzssAzu6FH89JUjWPC1l7DpiBx8rBQ67AmKQKdcAbj8YSyoiA+1nVvuQF8ggva+4KiPcSy8wQj+sbMZz+5uVS+77ffbcPFPN+Ha327BIc0o187GXoQiojpOkIp55fK/90i7O+7yXm8Ip1wBzCmfnCG/wxmqUKGMUWgLiNrnSovTj9tj32O9TkBFvgXNvX58/dn9AIBDbfHfS+WxKvMsuHXtNPXkbKKMgx2OHe+rBzsAAH2xzro868iKQESUHjpBwBimwRCKiknHwe4+rw4vfvocLKnOT3g90ViwCERERERDanUGUJ5nGVNbeq7FkDQY+pldLYiIEr75/AFEoiK8sfBpu1kfVwSKihLO+t7rAID5FblxjzEntu76cPvgE/tM29/qwtrvvIb/+ttufO7vuxAVJYQiIj5odKq3eWpHs/pxr0/+94ykqKb8e7WFizcOdeCex+SukIWVuQnvN1UUJ8g8MugECEJ8p06vL6R+XFtoU0O1AaA634bmXp86ZpEoQ0o7JqacnE2YTiDNf/twVFR/LnKtTHcgygZBGFsmUCgiJt3sp9MJg/7OEaULi0BEREQ0pOZeHyrzx9aSnmtJngnkDUZQnGNGfYcHj73XCHcgApNeB7Mhvgi0/UQPADkseFFV/BiVUgQ6kqC7I9N+8dpR6HQCbllbi3BUwlef2YfXD7XH3eYfO1sRjop4dncrvvyPvQCAghGE2lblW2Ez6fGlp/dix8le7Gtx4a6/7MA79V0AkPJY2WT0wr3r8NJnzhl0uSAIMOl1cZ06Pd7+59i/nz09rnC5uDovrjA3MFAakItA5lgRSOkECk6QTqCdmmPv8YbQ55eLquwEIsoOvU4Y0wjyUONgRJnEZx0RERElJYoSDp5yY27Z2MaNHEk6gSRJgssfxnUrq7F2ZiF++upRtLn8sJvlE/FcTRHo9cMdMOoFvP/VDYNCfQvtJpQ4zNhyrGvcx3d2NTmxYX4ZLoyFZj/2XiPu+ssHcFgMePwTa/GD65agyxPE1oZu/OaNevV+qQRCK3Q6Ab5Yh9Q9//cBPvnnHXEdKoX2qbslaWFlXsJOIEDu1gnGFYFCsfvk4vpVNXG3/di6GXGfJy4CibAadbHHlgtI4TEEv6bLKZcfW493q2OBne4gXP4wdAJgT7Jimogya6zjYENtByPKJD7riIiIKKmGLi88wQiWVI+t00QOhh7cCeQPRxGOSsizGvHVyxeg1xfCM7ta1RXweVYjghERgXAUO070YnFVHnLMiU96i+wmvHG4E1+JddqMB0mS0O0JoTTXjKoBAZ4b5pdh7cwiXLGkEiaDDm8e7kx67KnYML8UANDqCqDbG8R3r1k8pmOfCkx6Xdz2LmUc7JHbV6nPIUVZbn+IsNWoT9oJpI6D6eX/D0+ATqBndrZCkoCPnzMTANDtDcHlDyPXapz0Ac9Ek5VOAMQxdALJ28F4Ok7jj886IiIiSmp/bC35wPGrkXJYjAiExUH5KkqXT57ViEVVeZhZLK/9VoolubFRly5PEHtaXFgZ296UiDIS9cSOZnXD2GiMpJPI5Q8jIkoospvUNeSKSxbKnUFWkx5nzCjEm4c7kGMZfRHo5zcsR3mskHHLGdPw4WVVAIDrVlaP+jEnO5Nh4DiYXAQabtRu5bQCNPX4Bv23DkT6i0DGWCdQtlfES5KEpz9oxqppBerz/5TTj1anf8SbwYgofQRBwP7WPvzp3RMjvq8kSXIwdJIV8USZxCIQERERJdXY7QMAzIgVZ0YrN1b8GDgSpuSaKOG2M4pzAPQXgZS8ky313QhFxCGLQA9euQB3n18HAOjxhJLebihf/sdeLHrwX3FbpobSFfs6JQ4z7GYDPnfRHDz3qXV47lPrcOmiCvV2F8wtxbFO75i2l9nNBpTmymNRdaU5sBj12PqlC/Gdq0/fjiCTQYf6Do/aZeb0hWAz6YcdtVtRmw9RAhp7fHGX+0NRWAdkAmU7GHp3swtHOzy4ZkU1inLk4tb9T+/Fa4c6MK3IltVjIzqdKU14v3itfugbJhCJzZFxHIyygc86IiIiSqqxx4dSh3lE+TWJOGIdCwPDobWdQIC80QmQu2e0l79+SF6LvWKIIpDDYsSiWDeQPxwd8TFGRQn/t60RoYiI+o7UAqa7PHJRp8guF2fuuXA2FlfnYfGA8bnz55YAAA6eklfFK//OkfLHcoGU+5fnWU7rkwiTXoddTU5c+5stAORg6FQCt5Xn0cCRsEBYhFnJBJogK+Lve2I3CmxGXL6kAg6zAdUFVqyozcfvb1+Fh29dldVjIzqdKcHzEXHkvyOU3yscB6NsYJIcERERJdXU6xt1wULLEesEUjp/FAOLQMqq8yuWVMZd/vrhDtQW2lDqsGAoltgJfGAURSBt98/xLh9WTisc9j7dsU6gYsfQhYcZxXbUFtrQ2OPD0uo8/OXjZ4z4+ID+d43Huq1tqlC+H0c7PADkTKChQrKvXl6Ff+xswbKafADA8S4PgP418kHNOJg59tj1scfOBk8wgqMdHnzh0rnqz8Jb910Qt/WMiLJDEGJFoFGExysdhqdzEZ+yh886IiIiSkiSJJzs9qEmLUUg+QT2l68fxa6m/lXXA4tAH15Widc+dx6uX10Td/lwo2AKZZRnNEUgJU8GUIoDwxvYCZSMIAhqN1BdSY76/RipX9y4HP9xfh2mpeG/yVTU4w2hYIgi0A+uW4JdX7sI+TYTiuymQZ1A2nGwEocZly4sx+82NeCZnS0ZPe5kOvoCAKBmQQFgAYhogtAJygZBdgLR5MJnHRER0WnK5Qvj3WPdSa/f2eTEKVcAq6cP3xEzHCXz5+UD7bjq15v7j2FAEcig16GuJEe9XrkcGHoUTGGOncCPZhxM2SwFACe6fUPcsl+3JwidkNqKdqUIlGsdfZhvXUkOvnDpPG6EiokO2M/c6wuhwJb8+2vU65AfGxebUWxHQ+eAcbCIqHaTCYKAX920HA6LATsbe9N85KnpcMtFxuE64Iho/Cm/hkdVBFI6gVgEoizgs46IiOg09eBz+3HzI1vVbhbFH7ecwFM7mvHXrY3IMRtw5bLKMX+tZFuMlCJQss6YXM02rSUpbCjrHwcb+YtyZbQrx2xQOzCG0+WVx49S6c44c2Yx8m1Ghvmm0cCTrx5vKKVMIACoKrDilKv/v3M4KiIqSrAY+vOvDHod7CbDqJ5P6aAWgXKH7jQjovGndAKJEiCKIxsJC0cZDE3Zw0wgIiKi01BTjw/P7m6FKAFnf+91LKjMxbUrqrG4Kg9ff3Y/ADkT5bqV1eqmrrFwDFiNHhUl6HUC+vxhOCyGpEUUg+Zd0tllOQlvo6WM8gQjo+8EmlvuUE++h9PlDg47CqYem0mPt+67IC3fT5JFNCde4agIdyCSUlcWIG9b84X6nydK95gSSq6wGHUIjOL5lA6daicQi0BEE41SBAKAsCjCrEt9gQLHwSib+CqEiIjoNPQ/bzdAJwBRAMGIiJ2NTuxsdMbdJhgRcfMZ09Ly9QYWPtr6AqjKt6LPH44b+RqKzTT8yxYl1NcfGn0m0LxyB57+oA+SJKnBn8l0e0PDhkJrpfpvpdRoA1mVrrL8IcbBtGxGPXyh/qBypeAysGvNYtSPKmMqHTrdQRj1Ap83RBOQ9r2LSFTCSOr7ShejUc/RXhp/LAIRERGdZnq9Ifzt/SZcs7waFy8sw6Obj+MXNyxHlyeEt4924niXF3/d1ojltflYENvWNVaGAe92KifVrhSLQKm+ULaMIRi6udcHh9mA2kIb/OEoPMHIsAHOXZ4gllbnj/hrUXpox8E8AbmgM7DrLBlbrBNIFCXodAK2NfQAAFZNj8+eMhv18GdpHKwvIP98DFeMJKLxF9cJNMJcoBC3g1EWsQhERER0mjnU5kYwIuKKpZVYN7sYF86XV2QX5Zgxt9yBvc0u/HVbI25JUxdQIsoLZpc/nDQvSPH+VzakHJ6pbgeLjOwFuShKeO1gB9bNLlbzV57c0YyV0wqwuCoPxzo9mFXqiLvPr9+ox8luHy6cV5boIWkcaIOhPUG5CJRjTq1rxm7qDxG3mw3YdrwbZblmzCi2x93OYtBltBPIE4xgS30XLl5YPvi6QITjg0QTlE7zZyk8wjXxyjgYg6EpG/isIyIiOs10uGNrp/MS54wsrs7D8/eswzUrqjJ2DOGI/II5lU6gEocZeSmO+Jhj76qOdBxsd7MTHe4gLllYjhnFcvbQN547gFse2YafvXoUG36yCZvru9Tbb6nvwo9ePow8qxGXL6kY0dei9NG++66Mg6VaNLHFbqfkAh1uc2NhZd6grhuLUY9gBotAz+5qxSf+vANH2t2DrvMEI8hJsbOJiMaX9ndFRBzZGw/qOBg7gSgL+KwjIiI6TUiShAef3Y8HntkHACjJSb52elHV4JPhdFJa4ZVxl3TR6QSYDEMH+e5ucqKh06N+/sjbDbjnsZ0w6ARcMLcUy2ry8ebnz8cdZ01HXyCCv247CQB4aV8bAMDlC+Mzf9uFmcV2vPul9ViZwup6ygxtMLRS3Ex5HCzWNeYLRRCJimjo8mJ26eDwcatRn9HtYD1eOYto23F5HO294z24/Bdvoy8QZicQ0QSm146DRUbWCfTwpgYA7ASi7OCzjoiI6DTx4r42/O+WE+iLZafkWrN3chmJiuj1htDpDqIiP3kxajSsRj2CYREuXxj7W12Drv/wrzdj/Y/fUj//1gsH0dzrx9qZRWrH0fRiO2aWyGNBXbHV8a8ebIckSdjR2IMOdxDfuHJRSmHVlDnaIlB7n1xMSbVoYjfLRSBvMIqmXj9CERGzEhSBMr0dTPl5fD9WBHr/RA/2t/bhtYPtcAcjKY+3EdH40gZDh0fYCfT2UbmzNNlmTKJMYhGIiIjoNHCiy4svPrUHxTn9m6yyGTYbjkp45WA7RAnYMD+9mToWow7+UBS/23QMN/xua9x12gwZALj0Z5vUjwcGAmuziqYX2XDKFcAfNp9AQ6cXAFBdYE3rcdMoaP5z7mzsBSCvfk+FUsDzhSLqKNacMseg22V6O5jLJ4+xvX+iB5IkoaNP7mh6cW8bPMFwyp1NRDS+4sbBRpgJpKgptKXrcIhSxiIQERHRFBcIR/GJP2+HQSfgH/9xdrYPB4Cch7D9RA+K7CYsTNMGMoXFqEcgEkVzrx/uYEQN4AT6R4YAuRvpUFt/Dsu/nzUj7nG0nVLXrawGAHzz+QP41gsHAXDd+0TwxF1n4vYzpyHXYsArB9oBjGAcLBYMfcoVQH2HPB5Yl7ATSK9mTJ1y+fHYe41w+kLpOHwA8kikchzNvX61o+mtI51o7wuyCEQ0QY12O5gYezPi3gtn8+8IZQX/qhAREU0xm450AgDOnVMCAPjgZC+OtHvwyxuXo6bQhgf+bQEsxvF/H6g4x6SOVoWjIg6c6sOCyty0dyRZDHLnhhIU7AtFYDLIHVAtvX71dl5NePTvbl05KHxa2wmUaEwoly/es25pTT6W1uRDAvCnd0/CoBPUcPDhKJ1A9zy2E5ctKkdVvjXhKJnZqFO3zT28qQF/2HwCJ7t9uP+yeWn5N8gb8gzoC0Tw/oketLsDcFgMcAeUbWd8uU40EcWNg42gCBSM/T5RtlkSjTd2AhEREU0xtz36Hm579D11hOVYLARZGXf62LoZuDmD69+Tefrus3HXeXUA5LXcR9o9mF+R3i4gALCY5CDfTrfcUaEt9jRri0CxleIAUOoYvClNW+QptJvxyG2r1M8dZgOzHCaQ61fVAAByLIaUi4pKJhAAvHawI2GhD5CLiqGICFGU1I4hpcCYDn2BMFZMK4DDbMD7J3rQ0RfEhfNK1RX23A5GNDFp/wZExNTHwZS/zdYsvBlDBLAIRERENGWt/9Gb+PPWkzjW6YXNpEd5bnoDmEeqtsiG61fJY1WH29wIRUQsyEQRyKCDPxxFR6wI9LVn9uF/Nx8HAHR55MscFkNcEagswfdG2wlUaDdhw4IyfCQ2FsYuoIllUVUeFlbmjmh0yqH57xuKigk3gwHyOBggv3t/LFYE8oUiCW87Gi5/GAU2E1ZOL8CTO5rR1hdATaEN62NZWSPdOkRE40OI2w6WeieQXykCmdgJRNnBtxaIiIimEKUlfUl1HvQ6AQ88sw+zS3Mws8Se1SBohTG2DndPs7y1KyOdQEY92vsC6jjNa4c60O0N4Y6zZ8AZC+E16AR4YkWgr14+H5X5g0OetZlAFXlykUi5nbaLhCaGH1y3RB03TEWh3YSn7j4TDzyzHwdO9SUMhQagjk5e9vNNaHXJmVK+UPqCol0+eRxsVmkO3jwsj3LesnYajHodXP4wNiwoTdvXIqL0id8OlnqxVikCWTgORlnCTiAiIqIpROl+uXFNLb72bwsAAEc7PFhRWzDU3caNKZbXsrvZCZNep65hTyerUY+mHl/cZQ2dHkiShN5YoG8wIsIblF+IL6nOT/o4ALBqWoG6cUopFBxp96T9uGlsFlbm4bxYDlaqVk4rxAXz5PvMKkvcCaQESLv8YXx4WSVKHWY1KHqsgpEo+gIRFNhNWD29EIBcwC3LtaDQbsKf7lyDhZV5aflaRJReurjtYIk7gYKRwb8rlN8fLAJRtrATiIiIaAp5OxYKXZ5riTt5vGDexOgmMMTeOnUHIlhUlat2BqWTxaiLywECgL5ABN3eEJyxLBd/OApPUP44WfCuIAjY9uULUWg3qZddOF/+PhbYOA42VXx0VS26PaGkW+ouWViOTncQN66pRVGOGbc8sg3eNI2Dtbvkom1lnhUravPxnxfU4cY1tWl5bCLKrPhg6MGdQIfb3LjkZ5vwm5tXqG8m2M0GTSYQi0CUHSwCERERTSH3P70XAFBdYIXJoMN/37ICR9o9WDerOMtHJjNqNjfNL0//KBiQ/N3Vhk4vXLFxMEkCur1yV9BQ25cGZgVZjHo8/R9nIZ+ZQFNGbZEN37t2SdLr820mfGr9bPVzm0mvZkuNVatLDiqvyLfAoNfhvkvSs3GMiDJPpxt6Rfz+Vnns+eX9bfiPv36ABRW52Pjpc5gJRFnHIhAREdEUobSjr5xWgNmxsaVLF1Xg0kXZPKp4Jk3nTybygIChikAeOP39mTHdsfyYkeb7TJTROsoOm0mftkygU0oRKG9wJhURTWxx42Di4CKQsj1M2Rx24FQfgP5xMHYCUbYwE4iIiGiK6Inl3Vy1rDLLR5KcQfPOabKV3GOVtAjU5UWvt3+1t9LNYR+iE4hoIKvJkLbtYK1OOWi6Mj+7m/uIaOSGGwdTikQufzjucgZDU7axCERERDRFdLnlIlBxjjnLR5KcXvOqOT9DuTrKNqeB34eGTk9sHbf8dU92+2DQCTAb+HKIUmdPYyfQ1oZuVBdYYTOxEEk02cStiE8wDqYUgTrd8eOjwbB8W46DUbbwVQ8REdEU0e2VX2gWTeAikPZFs8OSqSKQ/MK6LLf/+1BdYMXhdjc8wYg6evPWkU5smF8Wd0xEw7GZ9PCHoxBHsBI6kV5vCO/Ud+GaFdVpOjIiGk/x28EG/z5Qpp+7PKG4y/0MhqYsYxGIiIhoCvCHoujoU4pApmFuPTEMFcg8FsoL6xKHWe0GWlKdh6YeJX9FHr2pLbTh+0MEAhMlYjUZIElAIMHq55E45QpAkoD55Y40HRkRjSftcsuhOoEGBsmzCETZxt5TIiKiSazLE8SWY934/N93IxR7EVpsn7idQFoOS2ZehijjYKUOM/72ybV45O3jWF6bj4172wAAa2YUwuUP4xsfXog8rnqnEVKCxH2h6JjGuHpi2+kK7ZOjaEtE8XRx42CJOoESd5kqwdAcRaZsYRGIiIhoghNFKW4VrdalP3sbXZ4gFlXl4uy6YthMBuRaJ8ef90yFYlo0nUB1JTn47jWLsbOxV71+XkUuPnleXUa+Nk19ubExRqcvPKr8rYc3HQMAlDrkjrTJ0rlHRPGEuHGwwZ1AUpKJ0UA4CrNBl/TvOlGmTY5XiURERKehQDiKX75+FL97qwFv3nc+qgtscdd7gxG1zfzR21ejNJcbhoD+IpBykg0AM0v6N5EVsPuHxqCqQM6UanH6R7zhzuUL4zsbDwEAVk8vAAAUTpLOPSKKF7cdLEFGWCTBZcFIFP5wlKHQlFUsAhEREU0wkiTh0c0n8Ns3j6lFns31Xfjo6tq42zX1+gAAv7xxOQtAGtpOIEWe1YjiHBO6PCHkW9l5QaNXHSsCNcd+/kZiX6tL/fj9E73QCfJzk4gmH90wnUBiglYgTyACfyjKPCDKKhaBiIiIJphtx3vw0PMHsHZmIT5/8Rzc//RevHKgA1FRXjVrMuggShJmx7oQagttwzzi6aWuxI7qAisWV+XFXT6zOAddnh7mANGYlDosMOoFNPf6R3zfPc1yEegbVy7E15/dj3ybKWluCBFNbNpxrkTB0Ik6gTzBiNwJxCIQZRGLQERERFkWCEfxnY0HcefZMzCtyIY/vXsCRr2AR25fjRyzAbuanHj8/Sa8erA97n5n1RUBYBFooOoCG9754vpBl9eV2rGjsReODG0lo9ODXiegMt86qiLQvhYXagttuGXtNPzx3RMw6RkMSzRZxY2DJQiGjoqDC0O+UBSBsJixTDyiVPBVEBERURZ0uANqZs3+Vhf+9O5JvFPfhWtXVGPj3jZcsrBMXaH+4JULMa/cgfkVubjjD++r62X3NLvw5Q/NQ8Ek2y507/pZcFjGvxvnjrNmYGl1PsM4acyqC6yjGgfb0+LEkup86HUCHrltFXyhsa2ZJ6LsiRsHS1DwiWgKQzaTHr5QFJGohAAzgSjLWAQiIiIaZye6vLjgx2/igcsX4M51M3DKFQAANHR68cN/Hcby2nz84sbl6u0tRj3uOHsGAGBGsR0HTvVh7cxC/O6WVZNytOmzF8/NytedW+7A3HJHVr42TS3V+Ta8frhjRPdx+cJo6vHj5jOmAYgPKyeiySeuEygyuBNImwlU6jDjRLcPYVGEPxyFxcguQMoeFoGIiIjG2Z4WFyQJ+MG/DqGp16eOlTzwbwvwwp5W/PKmFTAbEr9LqHQHXb+qZlIWgIimguoCKzrdQQTC0ZTHOlpd8s85xzeJpgZtJ1A4USeQqC0CWXCi24dIVII/FOWWSsoqFoGIiIjG2ZE2N/Q6AYGwiD9sPgEAsBr1uPPs6fjYuhlD3tdulk84bWwlJ8qa6sL+NfF1KXb0KJv+inO4Ep5oKojfDpYoE6j/spJcc+x24oiKx0SZwD40IiKicVTf4cGf3j2BmcV2/ObmFerlFXkWCMLwWTWfPK8OALCspiBTh0hEw6gukLt5RhIO3V8EmlwZXkSUmE5zJp1wO5imMFQWywAMixK3g1HWsQhERESUYd5gBJIk4fH3GvHhX70DvU7A5y6egw8trsDnLpoDIPXugLUzi3Die5ejPM+SyUMmoiFUF8idQCMJh+50y0WgEgc7gYimgrhxsASdQHGZQJpOID+DoSnLOA5GRESUZm2uAKKShKp8K17a14a7/rIDRXYTur0hnDmzCD+6fimq8uWTyEsWlePVg+34/nVLsnzURJSqUocFRr0wwk6gEMwGnZrrRUSTmzDcdjAxPhgakItF/hA7gSi7+FeIiIgozW57dBuOtHuw8d5z8P2XDgEAur0hfO3fFuCOs6bHrSifU+bAPz+1LluHSkSjoNcJqMy3jqgI1OkOojjHnNLYJxFNfHHbwRKMg0UHBEMrtwtGRGYCUVaxCERERJRmR9o9AIArfvUOoqKEG1bX4COrarByGnN8iKaKqnwrntvdik+eOxOLqvKGvG1UlLDlWBcWD3M7IpqcEo2DxQVDxzqBPMEIAHAcjLKKmUBERERp1OsNAQDuPr8Oly4sR3muBV/60HwWgIimmMuXVAAAth3vGfa2m452or0viOtWVmf6sIhonGgifxBJFAwdKwI5zAZ1o6c7EAYAWAw8DafsYScQERFRGh1pdwMAVk8vwBcvnQdJkjj+QTQFfXRVDb7yj33wBCLD3vbJ7c0otJuwfl7ZOBwZEY03bf6PIhrLCbpqeRUMevl1gDvATiDKPpYgiYiI0uinrx6Bw2zA0up8AGABiGiKMuh1sJn06jv7yfR6Q3jlQDs+vKwSJr77TzQlhSKJO4FMBh0eumoRDLxv1OsAACAASURBVLF98koRiJlAlE38S0RERJQm+1pc2NrQg09vmI2iFFe+E9Hk5bAY1JO6ZN480oFQVMQ1yzkKRjRV+UJRPLWjGZJmRkwUJRhi6dHGWCdQX6xozO1glE0sAhEREaVBVJTw4LP74bAY8JFVNdk+HCIaBzlmgxr0mkyfX76+Mt8yHodERONEOwDW2OPD557YjdcPdaiXRUQJ+lgRyKCXT7uf/qAFAMfBKLuYCURERJQGD29qwPaTvfjJ9UuRZzVm+3CIaBw4LEb1nf1klNXRRo6CEU152t8HUW0RSBc/Gs5OIMom/jUiIiIaozZXAD955TAuW1SOq5dXZftwiGicpDIOFoxlhZj0fNlNNJVoR78SicaNg8X//DMTiLKJf42IiIjGaHN9F8JRCfdeOJtB0ESnEYdl+HGwEItARKclbSeQfmAnEMfBKIv414iIiGgEJEmC0xeKu+zdhm7kWY2YW+bI0lERUTY4zMYht4O9cbgDf3r3BIx6ATodC8REp5OIKEGf5I0hdgJRNqVUBBIE4VJBEA4LglAvCML9Ca6/WRCEPbH/bREEYWn6D5WIiCi7RFHCXX/ZgWXffAX7W10AgMNtbvxjZwsuWVjGkzyi00yOxQBPknGwR95uwL//4X30+sLsAiI6TWgnxKKiBL0+8esCZgJRNg37F0kQBD2AXwO4DMACADcKgrBgwM2OAzhPkqQlAB4C8HC6D5SIiCib9ja7cPMj2/Cv/e0AgMt/8Q4Ot7nxxuEOREUJ910yL8tHSETjzWExwBuKIirGZ4OIooRH3j6ufq7jmCjRaUfOBEp8us0iEGVTKtvB1gColySpAQAEQXgcwIcBHFBuIEnSFs3ttwKoTudBEhERZUt9hxtf/sc+vHe8B4V2Ex768EK8sPcUtjb04JrfbIY3FMX0IhtKHOZsHyoRjbMcs/xS2hOIIM/WvxVwd7MTbX0BLKjIxYFTfRCHCZAloqlhUCdQkg5hM7cFUhalUgSqAtCk+bwZwBlD3P5jAF5MdIUgCJ8A8AkAqK2tTfEQiYiIskOSJHzsj9txstsHAHjts+ehwG7CFUsr0eoM4P6n92BPswtrZhRm+UiJKBtyLXLhxx0MxxWBXtrfBoNOwOVLKnDgVB+iLAIRnXYiopg0E4jj45RNqRSBEj1DE/4lEwThAshFoHWJrpck6WHERsVWrVrFv4ZERDShNfX4cbLbhyuXVuKmM2pRYDcBAPJtJuTbTHjirjOxr8WF+RW5WT5SIsoGh0V+Ka1dE9/i9OO5Xa04s65I7RAU+aqX6LQTFQdvBSOaCFIpAjUDqNF8Xg2gdeCNBEFYAuARAJdJktSdnsMjIiLKni3HugAA9144C7NKB2/+Mhv0WDmNXUBEp6ucAUUgSZJw9vdeBwD85/pZau6HxE4goikn0Y+19qKoKMKQJBiaKJtSGUZ8H8BsQRBmCIJgAnADgGe1NxAEoRbA0wBulSTpSPoPk4iIaHihiIhWpz9tj7flWDdKHGbUleSk7TGJaOpwxMbBPEF5TbzL378u/uIF5eoaaHYCEZ0etAXfiCglDIXffP/68TwkokGGLQJJkhQB8CkA/wJwEMDfJUnaLwjCXYIg3BW72dcAFAH4jSAIuwRB2J6xIyYiotNac68Pf3+/CcFIFADgCUbw5uEObKnvwmU/34TzfvgGmnp8I35cbzB+zbMkSXi3oRtnziyCwM0+RJSAEgytdAK19QUAAL+6aTlKHGZYjPJL7YHbw4ho8qsqsAIAphXZ1Mu0IfDydrDBrx+q8q2ZPziiIaQyDgZJkjYC2Djgsv/WfPxxAB9P76EREREB4aiIZ3e1YmaJHctq8nHT/2xDY48Pb9d34Rc3LMPVv96Mox0eAEBNoRURUcKDz+7Hb29ZCVOK2zcOt7lxyc824ccfWYprV8oLLo91etDpDuKsuqKM/duIaHLLjY2D9cWKQKdcchGoIs8CAGonEBFNPaunF+Kf/3k2Dre78YUn9wAAwtEBnUDMBKIJKKUiEBERUba8ebgTn3tiNwD53bbGHh/Kcs14bncrjra71QIQADx/zzn40tN7sHFvG3Y3O7F6emp5PX/YfBwA8O2NB3HV8irodQLePSbH251VV5zmfxERTRXqOFisCNQeKwKV5cpFICuLQERT2tKafBzv8qqfa7v+PIGIWhAmmkhYBCIiognt0Kk+AMBXL5+P53a3wmk14oV7z8GTO5rx6oF2zCyx46EPL4JBJyDPasRd59Vh4942uHxh+EIRfGfjQWzc24YX7l2HirzELdg7TvYCAHq8Ibyw9xQKbSa8uK8NVflW1BSybZuIErMYddDrBLgDchaQMg5W6rCo1xPR1GbU9/+ch6Oi+nGvL4SFlf3bQ29cU4PEi7eJxheLQERENKEd6fCgusCKj58zEx8/ZyYkSYIgCLjrvDrcdV7doNvnxt6Z7wuE8cjbx/GXrY0AgKPtnoRFoEhUxIluLz557ky8erAd9z62U73uiqWVzAMioqQEQYDdpFczxdyBCHLMBnUU1WxgJxDRVKfdAKZ0AkmShG5vCIV2k3rdd69ZMu7HRpQIi0BERDThBCNR3PfEHvT6Qthc34X180rV64YryuRaY0UgfxhvHu5QLx8Y/Kw42eNDOCphdpkDc8oc6ugZAKyfVzKWfwYRnQZsJgN8ITmo3h+OxuUAMROIaOozaopAkVgRyBeKIhQRUaApAhFNFOxRJSKijBFFCSc0s/Kp2tPswrO7W9HmCuDsWcX44qXzUr6vIxbU2tzrx+5mF65ZXgWgf3vPQEfb3QCA2aU5uHJZJXLMBlyzogqb71+Pq5ZVjfjYiej0YjPr4QvLRaBAKAqrqf/ltdXEIhDRVKcdB4vEgqF7vCEAiOsEIpoo2AlEREQZ8+etJ/HN5w/g3S+tVzMyUrGvxQUA+OvHz0Bp7shCFY16HWwmPV7a34aoKOFDiyvw9M4W9MUyO6769WbUleTgx9cvjX2tPuh1AuaWO2DU67D9qxtg0Akw6Pk+CRENz2bSwxfrNPSHo3Fh0JYUNxQS0eRl0PX/nEdFORNILQLZWASiiYd/mYiIKGP+uasFUVHCsY6RdQPtanKixGEecQFIkWsxornXjxyzAetmy9u9lE6gXU1OPPVBMyRJUj+fXZqjjm1YjHoWgIgoZTZj/DiYtgjE3yVEU592HCwcGwfr8clFII6D0UTETiAiIsqIVqcfHzQ6AQCNPV6cWVeU0v063AG8uK9NHeMaDYfFgLY+4Ky6IliMethNergDEQQjUfU2H//jdnR6gtjT7MKdZ88Y9dciotOb1aRHb+yEzx+KwjwgB+gbVy7E6umF2Tg0IhoH2nEwJRjaF5Rfb+SYebpNEw+flURENGKiKOG/Nx3DnFIH1s8rhU7X/y7YF57cDb1OQF1JDgBAEICT3T68tK8N+1pcONrhxr/2t+NfnzkXc8sdgx57x4lehCIiblxTO+rjO9rhAQD8//buPD7uqt7/+PvMkplksq9NmzbdN0oLbenGvlkEBWUTLgjIVVG8chV/uIB6uYheL+oVURZxAQVEUVlltVK2ltJSoPtCd9o0TdKm2Seznd8fM5kmbbplm5nO6/l49MEs3/nOmYSTTN7zOZ9z2thoY+fcTLea/EHVNQfix/xrbY1mjijUV88ara+cObrHzwUgvfk8Tm2vj1Ya+oNh5e+3/OPaOcMTMCoAA6Xz7mAdPYHCsWpjigGRjAiBAABHbdn2vbrrpXWSpPGDcvTLK09UoS9DeZluPfHu9vhx4wflKBiO6LF3tum+1zZ2OcdLK6u7DYE+qm+VJA0v9vV4fJ8+cYj+sbxKl0ytkBStDGryh1Tb1C4p2gT6hKH5+sllU3r8HAAgSZlul9piy8H8wUiX5WAAjn1dGkPHegJFYhVBjsPsaAokAtkkAOCoLdq0R5J0y9xxWlvdpHN//oZOu2u+bn9uVZfjPjG5XD++ZLJKczw6YWi+/nj9jPh9VtE3SE+9v13n/+JNVTf4JUV39crxupQX2+q9J3562RSt+u/z4jvz5HjdavQH4yHQzy6fQgAEoE9kZezbHawtGGZHMCDNdA2Bou9tIpYQCMmLSiAAwFF7f1u9Rhb79OXTR+knL0crgo4bnKfH3tkmSbrrksmqbw3o2jnD5XU79c+bT1ckYrVtT2v8HE3+kH74/Gr95s3NkqT562oUjlj98e2tqijI7NX4nA4jZ6claiXZHr23rV6PL46OryTH06vzA0CHLI+zS2NoL5VAQFpxdXq/Ee5YDhbpWA5GCITkQwgEADhqH9W3aUSxTw6H0T+/fpq8bqeGFmZpZ0Obtte3ddsE1eEwGpS3b7ev370VDX8unDJYzy6r0neeXBG/b0J5bp+O999mDtNLq6q1cGOdbjh9pAb1cNcxANhfltulQCiiUDgifyDMcjAgzXSuBAp2LAfrqAQiBEISIgQCABy1HfWtOml4gSRpTNm+vj7leZkqzzt4Fc/+n5D/4FOTdOVJQ/XssipJ0t2fOUEnDsuXr4930zhtbIn+/uXZGl2So7ysni8zA4D9ZcWWf7UGw7HlYHRbANJJ5y3iOyqAwtEsSE6WgyEJEQIBAA5rbXWjHnxjkyaW5+rM8aVq9Id6vGTrsmkVenvTbp1/fLk+O6uyy33TKgs0tDCrL4Z8gGmVbNEMoO9leaIhUENrUKGIlddFJRCQTlydewKF9+8JlJAhAYdECAQAOKw7nluthRt360nt0J3Pr5EkDcnvWVhzqIbMg/N71wsIAAZaYWxL+B172ySJxtBAmulcCRQMsxwMyY8QCABwSJGI1fLtDfrsrEpdO2e4nvlgh97bVq+TRhT0+XPRQBFAqimN9RjburtF0oHLXgEc2zr3BHpl9S69vXH3vsbQLAdDEiIEAgDERSJWm+qaNbp0X5+fDbXNam4PaXJFnkaXZusbHxvX58/7zq1nqz0Y6fPzAkB/62h4v2V3dPdDGkMD6cW13wdYb2+sU25mtP8glUBIRoRAAJCGrLV6fPFH2tnQJrfTIbfToWtmV+rXb2zSPf/6ULeeP15fPG2UJOn55TtljHTy6OJ+G08Zu3UBSFEl2R5J+yqBWA4GpBezX7XPsCKf6lsCkugJhORECAQA/SwQiujn89brS6ePUl5mcuxMtaGmWbc+taLLbZtqm/XMB9Fdut78sE5fPG2U2gJh/XnJNp08qph+PQDQjQyXQ0W+DG2poxIIQLQfUDjWE4hl7khG7GEJAP1s3ppduv+1jfrxi2sSPRRJ0vLte/XnJR9Jkub/vzP0889EGzX/del2BcIRjSnNVkt7SJL00MLN2tXYrq+eNTph4wWAZFeW66UnEABJ0ebQHT2BHPQEQhKiEggA+lnHp0BbY/0iBtpv39ykl1ZWa8rQfM0cUagvPrJUklSQ5dbwoiyNKPZp/KBcXXL/Qn3jY+O0ZPMebapr1t7WgO5/baPOHl+qmSOLEjJ2AEgFZbkerd7ZKInlYEC6C4WtIhEqgZC8CIEAoJ81+6NVNQs37lZDW/CAJWE1TX5d/dt39IOLJvVL2HLXS+sUCEf07tZ6/e6tzcpwOlRZlKVb5o6Lr2OfUJ6r9753rrxup1ZXNaqlPaz7Xtuo5vaQvnne+D4fEwAcSzr3NfO6KbQH0lGGy6FAKKJgOKJYBkQlEJISIRAA9LO9bcH45esfXqLHPj+zy3KBFdsbtH5Xsz7z4CKt/cF5fbqUoLk9pEA4ohvPGKW11U2aOaJQ158yost2ph06njfb41R1o18PL9yii0+s0LhBOQccCwDYp3MIRE8gIP28+o3T5XU7NefHryoY3tcTiEIgJCM+qgCAftbQGt0h4qqZw7R0a72+8ddlsrE3B5JU3eiPX77+4SWqbvAfcI6e2lTbLEmaXJGn3193km44fVS3AVBnPo9L4YhVIBTRxycN6rOxAMCxihAISG8jS7JVmhPdKTAYjigSsXKYA3cOA5IBlUAA0M/2xpaA/fDTx2twfqZ+8vI6XTVzmJ58b4eWb9+r9buiQc2PLz5ed/xjtS64503Nv+UM5Xp7v5NYx7lHlWQf8WN8nn2/GoYXZ/V6DABwrCvL9cQve+kJBKQlp8PIGCkUjihsLf2AkLSoBAKAfvLyqmpd99Bi/fHtrWoLhiVJ180ZLo/LoR+9sEZ/W7pdmRn7ApcrZgzTXZdO1u6WgLbUtXQ51wcf7dWLK3Ye9RgWbdqt/Cz3UYVAOd59Y6ooIAQCgMOhEgiAMUZuh0OBsFXEWqqAkLSoBAKAPnbHc6v16tpd2rK7VYPzon8YBEIRSdEqm7MnlOqFFdWSpD9+boam3PFK/LHlseP3tAS6nPNT9y6QJC397jkqyvboSFhrtWBDneaMKpLjKD6N8nUKptjqGAAOryMEcjnMYZfcAjh2uZ1GoXBExkhOQiAkKX5LAUAf+ufqXfr9gs3asrtVE8pzNf+WMzSy2KfzjtvXW+ea2cMlSZdMrVBellu/vWa6Hvv8TElSQVaGJGlv675m0h/uaopfvuLBRfrfl9ZqyZY9hx3LproW7Wzw6+TRxUf1GjqWg1UWUQUEAEeiyJchl8NQBQSkOZfToWA4onCE7eGRvKgEAoA+0twe0vefWalxZTm669LJGl+eI4/LqX994/QuJcGzRhZp4bfPilf9nDOxLH5fRwjUuRLo9udWqdCXoVvmjtMDr2/U/a9F/50yulhD8jNV29yun142RYW+jPhjNte16FevbpAknXKUIZA/tnRt6rCCo/wKAEB6cjiMSnM8CoTt4Q8GcMxyOx0KRqyMsewMhqRFJRAA9JGfvrxO1Y1+/c8lx2vK0Hx5XNFPhLtbEz44P7Pb23Mz3XIYaW/rvhBoXXWT5h5XpitnDNMrXz9NV5w0VJL01oY6vbByp95YX6ufvLyuy3kuuOdNPfX+Dg3K9WpY4dFV9Jw1oVSXTK3Qdy+YcFSPA4B0VprrVWYGb62BdOZ2GgVDEUWsPaql+MBAohIIAHqpyR/UZQ+8rbXVTbpmdmWvKmicDiOPy6l7Xt2gq2dXypfhUl1zIN6g2eNy6pvnjdfe1qD+39yxGlGcrZuf+ED/XL1LP/r0JG3Z3apfv75RrYFoNU9upuuoGxPmet362eVTevwaACAdjSrJZvkHkObcTodCEatwxNITCEmLEAgAeuntjbu1tjrat+cb547r9fk6dhL71K8W6P/NjZ6vczVPoS9DD3x2Wvz67JFFeuaDKm2sbdbX/7JMK3Y0xO/7n4uP7/V4AACHd/uFExVkORiQ1lxOo0A4Iq91UAmEpEXNKgD00sqqRknSm988U3lZ7l6f7+OTok2kG/0h3fzEMkk65JKuE2OVR/PW1HQJgG47f4KmVRb2ejwAgMPL8bq79GYDkH4ynA6FwhFFIqInEJIWlUAA0Eurqxo0ujRbQ4+y987B3H/1NFlr1dgW0osrd2pDTbMmDs496PEdu3jd++oGOR1Gc0YV6c0P61Sae2RbyQMAAKD3XE6jYNgqbFkOhuRFCAQAvWCt1dKt9TprfNnhDz4KxhjlZbl1xYxhhz3W63aqPM+rnQ1+fXLKYP3k0sn68+JtmttpW3oAAAD0L3dsi/hIhMbQSF4sBwOAXthQ06z61qBmjkjssquOaqAvnDpCXrdT150c/S8AAAAGhtsRDYHC1tIoHkmLSiAA6IW/LPlIxkizRxUldBwXTB6s4UU+Ta7IT+g4AAAA0pXbZdQejChiJQfLwZCkCIEAoIe27W7VH97eosunDe2zfkA99dlZlQl9fgAAgHTncjjUHA5Fl4ORASFJsRwMAHrof19aK5fDoZs/NjbRQwEAAECCuTsaQ0dYDobkRQgEAD2ws6FNz6/YqetPGa6yXG+ihwMAAIAE62gMHbaW5WBIWoRAANADb35YJ0n6xOTBCR4JAAAAkoHL6VAoYmUJgZDECIEAoAcWbdqt4uwMjR+Uk+ihAAAAIAm4nUaBUITlYEhqhEAA0APrqps0cXCeDJ/yAAAAQFJWhlOtgZDCVnIQAiFJEQIBwH4a/UFd99BivbSyOn6btVZ/WLhFS7fuUThitaGmWWNLsxM4SgAAACST0hyv6luD8gfDcpIBIUmxRTwA7Gf5Rw16bV2tXltXq19eeaI+OWWwapra9V/PrpLDSKeNLVF7KKKxZSwFAwAAQFRpjkeStKvRr5JsT4JHA3SPSiAA2M+Ova2SpLxMt37y8jqFwhFt3R29bdKQPL22rlYnDsvX3EmDEjlMAAAAJJGOHWOrG/wsB0PSohIIAPazvb5NDiP9z8XH68bH3tOzy6oUsdH7fnHFiSrJ8ciX4aQfEAAAAOJKYpVA7aGInLxPRJKiEggA9rOjvk2Dcr0677hBGj8oR7+av0ErdzTIYaQh+ZnK9rgIgAAAANBFRyWQJHYHQ9IiBAKQNl5fX6vdze2HPW57fZuGFGTK4TD62jljtam2RQ8v3KJJQ/KU4eLHJgAAAA5U5MuIhz98XohkxXIwACnHWnvUlTg7G9p07e8Xa9KQXN39mRN0+a8XyUj6z3PG6LOzKtUWDCsrI/ojcVNds84aXypJOm/SIN131VRt2d2iK08a1tcvBQAAAMcIh8OoJNuj6kY/lUBIWoRAAFLOhb9aIH8wrH/efLok6YHXN8ofDOtr54yVJG2oaZbH5dDQwixJUpM/qNn/86okaeWORp3zf2/Ez/X9Z1bpH8t2avGWPZKk608eobrmgEaW7Nv+/fzjywfkdQEAACC1leXGQiBKgZCkCIEApJwVOxrilyMRqx+/uFaS9LGJg/TQgs3623vbdVJloZ740mxJ0rtb6+PHf/eCCbrz+TWSpC+fMUoFWW796IW18ft/v2CzJGlksa/fXwcAAACOLSU5XkkN7A6GpEUIBCCl+IPh+OWHF2yO/aKNOv+eN+V2Gg3Oy9SW3S3x29dVN0mSln73HBVle3ThlMHKzXTL63ZKkk4fW6q5d0erg7561mg9umirJlfkD8TLAQAAwDGkLDe6QxgZEJIVIRCAlBAKR3ThrxbI0akv8+3PrZYkjSnN1ujSbC3atFt//dIcPb98p34+b73aQ2F5XE6tr27SoFyvirKjv5RLO+3cIEnjBuXojVvOVFVDm2aNLNLN545l9y8AAAActY4dwugJhGRFCAQgJWzd06rVOxuV4+n6Y+vGM0bpprPHKMPpUHsooswMpwbnR3/5Vjf4VZzt0avrajRnVNEhzz+sKEvDiqI9hAiAAAAA0BOlOR2VQLyfRHIiBAKQEj7cFV3S9cjnZ8rlMPrEL9/SL644QRedMCR+TGZGdHnXkPxMSdL8tTUKRaz2tgb176eMHPhBAwAAIK10VAIRAiFZEQIBSAnrdzVLii798nlc+vCHH5fb6ej22LGDciRJP5/3oTLdTs0cUahplQUDNlYAAACkp5JYJRDLwZCsuv8LCgCSiLVWzy/fqQnlufLFloMdLACSpOJsj/73kuPV0BZUdaNfN545eqCGCgAAgDRGJRCSHSEQgKS3sbZZ63Y16epZw474MR2VP8cNztVpY4r7a2gAAABAXJEvQ06H0SE+rwQSiuVgAJJeXXNAkjSiyHfEjxlZnK3Lp1fo0mlDafQMAACAAeFwGI0flKNBeZmJHgrQLUIgAEmvviUaAhX4Mo74MQ6H0V2XTumvIQEAAADdevLGOXI5KAVCciIEApD06luDkqSCrCMPgQAAAIBE8LiciR4CcFDEkwCSXn1rtBIoP8ud4JEAAAAAQOoiBAKQ9Pa0BOTLcMrr5lMVAAAAAOgpQiAASWNXo1/hiD3g9vqWwFH1AwIAAAAAHIgQCEBS+GhPq067a76++/SKA+6rbW6nHxAAAAAA9BIhEICkcPe8D9UeiujPSz7Siu0NsjZaEdQeCmvp1nodX5GX4BECAAAAQGojBAKQcM8uq9KT72/XlTOGKi/TrU/+6i3d+Nh7kqT5a2vVGgjrnAmlCR4lAAAAAKQ2QiAACeUPhvXfz67S5CF5uvX8Cbrt/AmSpBdXVmtTbbPunrdelUVZOnVMSYJHCgAAAACpjRAIQEI9v3yndrcEdMvc8crxunXZ9KF6/qZTJEk3Pvae1lY36eZzx8rt5McVAAAAAPQGf1UBSS4Ujmjp1vp4j5xjibVWDy/cotGl2Tp5dFH89uMG52lCea7WVjdpQnmuPjl5cAJHCQAAAADHBkIgIEm1h8LaUteiGx5ZqkvuX6hH39mmv777kay1en9bvV5fX3vQx67Z2ahnPtihUDgygCM+OquqGnTrUyu1YkeDrp0zXMaYLvdfO7tSkyvy9D8XHy+HwxzkLAAAAACAI+VK9AAA7PPyqmoFwxFNqcjXg29s0iOLtsbv+97TKyVJ89bs0surdkmStvz4gi6Pj0SsHnhjo372ynqFI1Yba1t087ljB+4FHIXPPbRENU3tkqSLTxxywP1XzBimK2YMG+hhAQAAAMAxixAISBLhiNVX//S+AvtV7/zmmun6wT9Wa9ueVjkdRit3NMbvq2nyq7EtqP9+brV+cNEk/fCFNfrn6l26YHK5PtrTqj+9sy0pQ6D7XtsQD4AunVYhn4cfRQAAAADQ31gOBgyg+WtrtKGmKX690R9UMBb67Gr0KxCO6Lo5wzWhPFeSdPLoIp07sUzTKws0otintT84Twu+fZb+9IWZkqQV2xv03adX6s0P6/Stvy/XP1fv0pfPGKVfXXmizhhborrm9oP2Evrxi2s1/NvPJ6TX0F0vrZMkXT1rmH706eMH/PkBAAAAIB3x8TswABr9QU2/c54CoYhyvC794foZqijI1NyfvyGnw6F/mzlMp4wuliSdMa5Et8wdpxseWaqbPxat4vnRxccrEI7Ed8g6YWi+CrLc+tbfl6uuOaCRxT69s3mPJOnCKYNljFFmRnR6+4MRZWY4DxjTA69vlCRVN/pVluPV7xds1sVTK1Toy+jXr4W1Vh6XQ06H0bfOG68MF1k0AAAAVORO1AAAIABJREFUAAwE/voC+llrIKTvPb1SgVC04sda6eL7FmrGD/+l+tagJpTn6J5/fahHY/1/Kgoy5fO49OjnZ2rqsAJJktftVK7XHT9nVoZLP75ksuqaAzpucK4e+fxM5XhcqizK0riynNgxzvjzH8ranU16Z/Me3fn8Gk39wT/19Ps7+vxrIEUbQT++eJtqm9vVHorom3PHKafTawIAAAAA9C8qgYB+8uGuJt3/2ka9t61eW3a3xm9/6sY5unf+Bj2zrErf+fh4XTljmI6//RU9u6xKkjQ4P/OIzj/3uEF64OqpOm5wnobkZ+r9758rY0x8J63MeAgUVtF+j20PheOXV1U1qDTXG7/+9Sc+kMNhdOGU6Lbsu5vb9bu3Nuums8fI6z6wouhIhMIRXXL/QvmDEY0o9kmSKot8PToXAAAAAKBnCIGAfnLPqxv03LIq5XpdOnl0kfIzM3TRCYM1pixHd19xon58yeQDQpVzJ5YpK+PIp+V5k8rjl13OroV9mbFztwRC+sfyKp0/qTweEO2ob4sf99Kqas0asS8mKsjK0E2Pv69H396qAp9b1kqvrN6lOaOKdcqY4iP/AnSyqa5F/mBExdkejSz2aWxZtqYNL+jRuQAAAAAAPUMIBPSTjTXNyvG6NO/m07tU2nTorqrml1ee2GfP37Ec7LllVbp3/kb9+YsezRoZDXtqYztznTOhVPPW1GhvazD+uB9+apK+/Nh7WrxlT5fz7W5p7/FYahqjj73vqqmaMaKwx+cBAAAAAPQcPYGAfvDiip1avbNRV8+q7DYA2t/TXzlZv71meo+XW3WnYznYgg27JUl7WgLx+zq2Z7/+lBFyOoy2d6oMmjO6a7XP+EE5Bzy+s9ZASI8v3qbQflvbd1bT5JckleR4jvZlAAAAAAD6CCEQ0A8ee2ebJMX76hzOCUPzdc7Esj4dQ8dysOXb90qS1lY3acGGOkn7KoEmDMrVabElXq7YUrG8TLcqi7IkSX/54iw9+vmZcpiDh0A/fH6NvvPkCs1bU3PQsXQ8HyEQAAAAACQOy8GAfrCptlmfPnGIJpTnJmwMHb2FIjZ6/Z5/fShJWvZfH1NNU7vcTqP8LLcumVah+etq9ejnZ8aXiz1/06kKh63ysqK7dxX6MlTXvC8EaguE9dNX1mlYYVY88Hrzw1qdN2lQt2OpbWpXptspXzdb1QMAAAAABgYhENDHWgMhVTX447tgJUrWQQKXX8z7UC+vqlZJtkfGGF1wfLnKv+yNb0cvSdmerj8aCn0ZevaDHfrvC49Thsuhxxdv0+/e2ixJGlHs08hin55dVqWvnztWxdkHVvvUNLWrNDf6fAAAAACAxGA5GNDHlmyplySNLElsCJTZKQTqWOolSb9fsFk79rZpZqzqxxijaZWFhwxodjW2qyUQ1oNvbJQkvbhypzJcDn3h1BH6zTXT9Z3zJ6jJH9Ljsaqg/a3f1aShBVl98bIAAAAAAD1EJRDQh9ZVN+mmx99XZVGWTh1TktCxdPQEKvRlqDg7Q+t3NeuCyeX6/icmyukw3VbsHMydn5qkrz7+vn76ynoVZ3u0rrpJl02r0G0XTIwfM2N4oZ5bXqWvnj2my2N3Nfq1trpJ3zpvSN+8MAAAAABAj1AJBPShLz+2VF63Q4/++0zlZboTOpaOEGhKRZ5yvdGxDC/KUlmu96gCIEn65JTB+t210zUo16tvP7lCjf6QxsV2Ddt3TLnW72rWgg11aui05fx7W6OVUbNHFfXm5QAAAAAAeokQCOgj4YjV5roWXT59qIYWJn7pk8NhNGNEoc4/vlxledFt6gflZfb4fGdPKNOb3zpTF0wulyRN3K/p9cePL5fLYXTVb9/RiT94RRtqmiVJm+paJEmjS7N7/NwAAAAAgN5jORgQs6qqQaNLs+Vx9WwHqyZ/UNZK+VkZfTyynnvihtmSpPMmDdKpo4v1iSPcsv5g3E6H7rniRF1/8ghNHZbf5b7ibI+e+NJsvbe1Xnc+v0bLt+/V6NJsbalrUUmO54Bm0wAAAACAgUUlECDpoz2tuuCet/SlR5b2+Bx7Y0ug8hO8DKw7OV63rpgxrE+CGKfDaFplQbeNpKcOK9C1c4bL5TDxSqAtu1s0oiixTbIBAAAAAIRAgCTppZXVkqT562rlD4a7PWb+uhp95U/vHfQce9tiIVBW8oVAA8ntdKiyKCseAm2ua9Xw4sQvjwMAAACAdEcIhLRX19yuB17fGL9e3eDv9rjPPbREzy/fqVA40u39e1sDkgiBJGlUSbY21jaryR9UXXO7hhdTCQQAAAAAiUYI1E8iEavgQcICHBlrbb+ef+HGOn3jiWX69t9XqKk9pNs/Gd3uvKqh7ZCPaw/t+742tAUVjtj4ZUnKy0yenkCJMro0W1t3t+rDWDXQSEIgAAAAAEg4QqB+cutTKzTmthcTPYyUNX9djSZ+/2U988GOPj1vXXO7dje3S5I++7vF+vt72zVvzS59c+44nTm+VJJUtbf7SqAOgVgItKcloJPunKcbHnk3Oua1NZKoBJKiIVAoYvX6ulpJohIIAAAAAJIA2/X0kz8v+UiS1NIeko9dkY7az15Zp7ZgWPPW1OiiE4ZIknY1+lXky5DL2bPsMhKxOv8Xb6qmqV2Fvox4Bc+skYW6/uQRCkai4U7V3iOrBPrzkm0KhCOat6ZGjyzaqqc/qJIk5SVhY+iB1rEd/Curd0mSKgsJgQAAAAAg0Y7or2ljzHnGmHXGmA3GmG93c78xxtwTu3+5MWZq3w81NS3eskc1TYeuLEFX66qbtHJHoyTpuWVVqmnya3VVo2b+6F96aMGWHp939c5G1TS164LJ5TpxaL6unDFM824+Xb+79iQ5HEYel1NDCzO1dGv9Ic/TUQlUtbdN2R6XxpRm6/ZnV0mSLp1WIXcPQ6pjydiyHGU4HVqzs1GD87zKzHAmekgAAAAAkPYOW6JijHFKulfSuZK2S1pijHnWWru602EflzQm9m+mpPtj/z3mff+ZlcrMcKoiP1OLNu3R2upGnTqmJH7/5x5aoilD8/X0jXO63VIbB7p3/gZlZTh13Zzhuu+1jTr9rtdUkuORJK2saujROdsCYX3il29Jkm47f4IG52d2e9ynTxiiX87foO31raoo2Lej1Vsf1sUvt4eiu4fVtwRVmuvRjy4+Xpc98LZcDqM7PzWpR+M71njdTp0wNF+Lt+xhKRgAAAAAJIkjKVmYIWmDtXaTtTYg6c+SLtrvmIsk/dFGLZKUb4wp7+OxJh1rreqa2/XbNzfre8+s0osrd8rtdOjhhVu6HLfso716Z/OexAwyhUQiVuuqm/Tc8ipdM3u4vn7uWP31S7N11vhSbdvTKklqDXS/ffvmuhYt2rT7oOfeWBttUHzqmOKDBkCSdPlJQyVJT7y7PX6btVZX/+6d+PX2Tj2BCrMydNLwQt1w2kjNnTRIXjcVLx3OnhDtseR0EH4CAAAAQDI4kmY1QyR91On6dh1Y5dPdMUMk7ezV6JKcMUb3XTVNNU1+vba2VudOLJPP49LF9y+IL2fq8OvXN2rWyKIEjTT5BcMRnfWz1/TRnmg/ni+cOkJup0MnDS/UScML9aPWoL72l/e1s6FNDW1B3fmP1bpl7jiV5nolSWf+9DVJ0pYfX9Dt+TtCoO9eMPGQ46goyNLpY0v0xJKPdNNZo+VyOjRvTU2XYzqHQJVF0Wqh75w/oWcv/Bh23cnDtbKqUZ+ZPjTRQwEAAAAA6Mgqgbr7GH//vbuP5BgZY75ojHnXGPNubW3tkYwvJZTmeHX5SUNV4MtQhsuhuz9zgoqzPfH78zLdmr+uVuuqm474nH9YuEXn3f1Gfww3KVU3+OMB0K3nj1dRp6+fJOVluTU4P1NVe/16fPE2/XXpdr2+/sD/hzqWau1vY22LHEbx0OZQrjhpmKob/frGX5fp+oeX6EcvrNHIYp8e+fcZXZ5jT2tAhT62gz8Yj8upX155ok4ZU5zooQAAAAAAdGQh0HZJnT/Kr5BU1YNjZK190Fo73Vo7vaSkZP+7jxmjS3O05LazlRVrhvuZ2BKjN/YLLR5fvC1eobK//3p2ldZWN6nRH+zfwQ6wF1fs1Acf7T3g9urGaPPsP14/Q188bVS3j60oyNKeloAejjWH3l5/4C5euxrau33stt0tKs/LPKLlWudOLNNxg3P1zAdVenVtjTbXteg750+I7/IWCEVkrVV9CyEQAAAAACB1HEkItETSGGPMCGNMhqQrJD273zHPSromtkvYLEkN1tpjeinY4Rhj4rtEDS/yqSDLrU11+wKfUDii7zy5Qp+6d8Ehz7OlrqVfxzmQIhGrW/62XFc8+LYWbKjrcl/HtuyD870HffykIbmS9gVGO7rZyr2qofvt3Xe3BFSc4+n2vv05HUZ3XHRc/HpxtkfnTChVRuz72R6KqNEfUihiCYEAAAAAACnjsD2BrLUhY8x/SHpZklPS7621q4wxX4rd/4CkFySdL2mDpFZJn+u/IaeOjhAo2+vSqJJsbazdF+jsbYtW+DT5Q/Hblm6t16gSn/Kz9gULm2pbNLkif4BG3L9eX1+r5vaQMlwOXfP7xQpHrH562RRdOq1C1Q3RYGdQ3sGbNnd8HUpzPCrPz9T2+miz6HBk38rDl1ZWa0h+pq767Tv6zTXTNW5QjqRo/56y3IMHTPubVlmol792mloCIVUWZskYI687+v0MhCJqjH3/8jLdR/EVAAAAAAAgcY6kMbSstS8oGvR0vu2BTpetpK/07dBSn9sZbZWU7XFqZIlPr67dtxysviXQ5dhwxOqS+xdKkpbcdo4yXA4FQhFtOkYqgepbAvrcw0skST/81CTd8rfl0cvPr9al0yq0s8GvHK9L2Z6D/y+Zl+nW5dMrNK2yQIs27dHi2I5r9a37vpYPL9yirAyntu1p1fvb6uMhUH1LQBPKc49qzB2P7ZDhjC4law9F1BALgXIJgQAAAAAAKeJIloOhh+KVQB63RpZkq665Pd7jp761a6+fPZ1CoVPvelWB2A5UVd0seUpF78QCG0k6e0JZ/HLH9uE7G9pUnnf4Sp27Lp2iz5w0TGPKsrVjb5seWbRVNz76niTplNHRBsSPLtoqSaqKVRdZa7W7D/r3eKgEAgA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\n", 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" ] @@ -1139,12 +1139,12 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1163,12 +1163,12 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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54.19 163.10 \n", + "2015-11-23 26.245783 125.029999 80.779999 99.94 106.95 54.19 163.45 \n", + "2015-11-24 26.781923 123.309998 80.389999 99.26 105.74 54.25 162.19 \n", + "2015-11-25 27.535873 124.160004 80.410004 99.09 105.41 53.69 162.39 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-25 36.049999 482.880005 242.740005 239.81 254.82 207.82 342.58 \n", + "2020-09-28 36.389999 490.649994 246.669998 240.00 256.82 209.44 349.62 \n", + "2020-09-29 36.169998 493.480011 247.449997 240.12 261.79 207.26 352.14 \n", + "2020-09-30 36.700001 500.029999 251.320007 241.73 261.90 210.33 355.00 \n", + "2020-10-01 36.369999 527.510010 253.449997 242.15 266.63 212.46 358.46 \n", + "\n", + " BLK TROW UNH PPG \n", + "2015-11-19 359.09 76.38 110.63 103.37 \n", + "2015-11-20 362.46 76.37 112.97 104.62 \n", + "2015-11-23 363.25 76.15 112.16 105.47 \n", + "2015-11-24 356.81 75.62 113.19 105.49 \n", + "2015-11-25 360.62 76.01 114.41 106.46 \n", + "... ... ... ... ... \n", + "2020-09-25 547.81 125.22 302.50 120.25 \n", + "2020-09-28 558.65 128.55 303.23 121.74 \n", + "2020-09-29 554.80 127.49 304.15 120.33 \n", + "2020-09-30 563.55 128.22 311.77 122.08 \n", + "2020-10-01 567.91 128.04 313.07 121.78 \n", + "\n", + "[1225 rows x 16 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "portfolio_5yrs = combined_portfolio_df.drop(columns=['MCD', 'VZ', 'JNJ', 'CLX', 'WMT', 'NEE', 'GD', 'MMM', 'ACN', 'UPS', 'HD', 'SBUX', 'PSX'])\n", + "portfolio_5yrs" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "portfolio_5yrs_daily = portfolio_5yrs.pct_change()\n", + "portfolio_5yrs_1 = (1 + portfolio_5yrs_daily).cumprod() - 1\n", + "portfolio_5yrs_1.plot(figsize=(30,10), title='Joint Cumulative Returns');" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "import panel as pn" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "\n", + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " var force = true;\n", + "\n", + " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", + " root._bokeh_onload_callbacks = [];\n", + " root._bokeh_is_loading = undefined;\n", + " }\n", + "\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls == null || js_urls.length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + "\n", + " function on_error() {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " for (var i = 0; i < css_urls.length; i++) {\n", + " var url = css_urls[i];\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " if (window.requirejs) {\n", + " window.requirejs.config({'paths': {'plotly': 'https://cdn.plot.ly/plotly-latest.min', 'lodash': 'https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.min'}});\n", + " require([\"plotly\", \"lodash\"], function(Plotly,_,) {\n", + " window.Plotly = Plotly;\n", + " window._ = _;\n", + " run_callbacks();\n", + " })\n", + " } else {\n", + " for (var i = 0; i < js_urls.length; i++) {\n", + " var url = js_urls[i];\n", + " var element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " var js_urls = [\"https://cdn.plot.ly/plotly-latest.min.js\", \"https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.min.js\"];\n", + " var css_urls = [];\n", + "\n", + " var inline_js = [\n", + " function(Bokeh) {\n", + " inject_raw_css(\".widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden; \\n}\");\n", + " },\n", + " function(Bokeh) {\n", + " inject_raw_css(\"table.panel-df {\\n margin-left: auto;\\n margin-right: auto;\\n border: none;\\n border-collapse: collapse;\\n border-spacing: 0;\\n color: black;\\n font-size: 12px;\\n table-layout: fixed;\\n}\\n\\n.panel-df tr, th, td {\\n text-align: right;\\n vertical-align: middle;\\n padding: 0.5em 0.5em !important;\\n line-height: normal;\\n white-space: normal;\\n max-width: none;\\n border: none;\\n}\\n\\n.panel-df tbody {\\n display: table-row-group;\\n vertical-align: middle;\\n border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n border-bottom: 1px solid black;\\n vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n background: lightblue !important;\\n cursor: pointer;\\n}\\n\");\n", + " },\n", + " function(Bokeh) {\n", + " /* BEGIN bokeh.min.js */\n", + " /*!\n", + " * Copyright (c) 2012 - 2018, Anaconda, Inc., and Bokeh Contributors\n", + " * All rights reserved.\n", + " * \n", + " * Redistribution and use in source and binary forms, with or without modification,\n", + " * are permitted provided that the following conditions are met:\n", + " * \n", + " * Redistributions of source code must retain the above copyright notice,\n", + " * this list of conditions and the following disclaimer.\n", + " * \n", + " * Redistributions in binary form must reproduce the above copyright notice,\n", + " * this list of conditions and the following disclaimer in the documentation\n", + " * and/or other materials provided with the distribution.\n", + " * \n", + " * Neither the name of Anaconda nor the names of any contributors\n", + " * may be used to endorse or promote products derived from this software\n", + " * without specific prior written permission.\n", + " * \n", + " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", + " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", + " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", + " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", + " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", + " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", + " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", + " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", + " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", + " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", + " * THE POSSIBILITY OF SUCH DAMAGE.\n", + " */\n", + " !function(t,e){var n,i,r,o,s;t.Bokeh=(n=[function(t,e,n){var i=t(160),r=t(35);n.overrides={};var o=r.clone(i);n.Models=function(t){var e=n.overrides[t]||o[t];if(null==e)throw new Error(\"Model '\"+t+\"' does not exist. This could be due to a widget\\n or a custom model not being registered before first usage.\");return e},n.Models.register=function(t,e){n.overrides[t]=e},n.Models.unregister=function(t){delete n.overrides[t]},n.Models.register_models=function(t,e,n){if(void 0===e&&(e=!1),null!=t)for(var i in t){var r=t[i];e||!o.hasOwnProperty(i)?o[i]=r:null!=n?n(i):console.warn(\"Model '\"+i+\"' was already registered\")}},n.register_models=n.Models.register_models,n.Models.registered_names=function(){return Object.keys(o)}},function(t,e,n){var i=t(17),r=t(54),o=t(300),s=t(301),a=t(2);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_SESSION_ID=\"default\";var l=0,c=function(){function t(t,e,r,o,a){void 0===t&&(t=n.DEFAULT_SERVER_WEBSOCKET_URL),void 0===e&&(e=n.DEFAULT_SESSION_ID),void 0===r&&(r=null),void 0===o&&(o=null),void 0===a&&(a=null),this.url=t,this.id=e,this.args_string=r,this._on_have_session_hook=o,this._on_closed_permanently_hook=a,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_ack=null,this._pending_replies={},this._pending_messages=[],this._receiver=new s.Receiver,i.logger.debug(\"Creating websocket \"+this._number+\" to '\"+this.url+\"' session '\"+this.id+\"'\")}return t.prototype.connect=function(){var t=this;if(this.closed_permanently)return Promise.reject(new Error(\"Cannot connect() a closed ClientConnection\"));if(null!=this.socket)return Promise.reject(new Error(\"Already connected\"));this._pending_replies={},this._current_handler=null;try{var e=this.url+\"?bokeh-protocol-version=1.0&bokeh-session-id=\"+this.id;return null!=this.args_string&&this.args_string.length>0&&(e+=\"&\"+this.args_string),this.socket=new WebSocket(e),new Promise(function(e,n){t.socket.binaryType=\"arraybuffer\",t.socket.onopen=function(){return t._on_open(e,n)},t.socket.onmessage=function(e){return t._on_message(e)},t.socket.onclose=function(e){return t._on_close(e)},t.socket.onerror=function(){return t._on_error(n)}})}catch(t){return i.logger.error(\"websocket creation failed to url: \"+this.url),i.logger.error(\" - \"+t),Promise.reject(t)}},t.prototype.close=function(){this.closed_permanently||(i.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed(),null!=this._on_closed_permanently_hook&&(this._on_closed_permanently_hook(),this._on_closed_permanently_hook=null))},t.prototype._schedule_reconnect=function(t){var e=this;setTimeout(function(){e.closed_permanently||i.logger.info(\"Websocket connection \"+e._number+\" disconnected, will not attempt to reconnect\")},t)},t.prototype.send=function(t){if(null==this.socket)throw new Error(\"not connected so cannot send \"+t);t.send(this.socket)},t.prototype.send_with_reply=function(t){var e=this,n=new Promise(function(n,i){e._pending_replies[t.msgid()]=[n,i],e.send(t)});return n.then(function(t){if(\"ERROR\"===t.msgtype())throw new Error(\"Error reply \"+t.content.text);return t},function(t){throw t})},t.prototype._pull_doc_json=function(){var t=o.Message.create(\"PULL-DOC-REQ\",{}),e=this.send_with_reply(t);return e.then(function(t){if(!(\"doc\"in t.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return t.content.doc},function(t){throw t})},t.prototype._repull_session_doc=function(){var t=this;null==this.session?i.logger.debug(\"Pulling session for first time\"):i.logger.debug(\"Repulling session\"),this._pull_doc_json().then(function(e){if(null==t.session)if(t.closed_permanently)i.logger.debug(\"Got new document after connection was already closed\");else{var n=r.Document.from_json(e),s=r.Document._compute_patch_since_json(e,n);if(s.events.length>0){i.logger.debug(\"Sending \"+s.events.length+\" changes from model construction back to server\");var l=o.Message.create(\"PATCH-DOC\",{},s);t.send(l)}t.session=new a.ClientSession(t,n,t.id);for(var c=0,h=t._pending_messages;c\",\"*\"],n.HTTPMethod=[\"POST\",\"GET\"],n.HexTileOrientation=[\"pointytop\",\"flattop\"],n.HoverMode=[\"mouse\",\"hline\",\"vline\"],n.LatLon=[\"lat\",\"lon\"],n.LegendClickPolicy=[\"none\",\"hide\",\"mute\"],n.LegendLocation=n.Anchor,n.LineCap=[\"butt\",\"round\",\"square\"],n.LineJoin=[\"miter\",\"round\",\"bevel\"],n.LinePolicy=[\"prev\",\"next\",\"nearest\",\"interp\",\"none\"],n.Location=[\"above\",\"below\",\"left\",\"right\"],n.Logo=[\"normal\",\"grey\"],n.MarkerType=[\"asterisk\",\"circle\",\"circle_cross\",\"circle_x\",\"cross\",\"dash\",\"diamond\",\"diamond_cross\",\"hex\",\"inverted_triangle\",\"square\",\"square_cross\",\"square_x\",\"triangle\",\"x\"],n.Orientation=[\"vertical\",\"horizontal\"],n.OutputBackend=[\"canvas\",\"svg\",\"webgl\"],n.PaddingUnits=[\"percent\",\"absolute\"],n.Place=[\"above\",\"below\",\"left\",\"right\",\"center\"],n.PointPolicy=[\"snap_to_data\",\"follow_mouse\",\"none\"],n.RadiusDimension=[\"x\",\"y\",\"max\",\"min\"],n.RenderLevel=[\"image\",\"underlay\",\"glyph\",\"annotation\",\"overlay\"],n.RenderMode=[\"canvas\",\"css\"],n.ResetPolicy=[\"standard\",\"event_only\"],n.RoundingFunction=[\"round\",\"nearest\",\"floor\",\"rounddown\",\"ceil\",\"roundup\"],n.Side=[\"above\",\"below\",\"left\",\"right\"],n.SizingMode=[\"stretch_width\",\"stretch_height\",\"stretch_both\",\"scale_width\",\"scale_height\",\"scale_both\",\"fixed\"],n.SliderCallbackPolicy=[\"continuous\",\"throttle\",\"mouseup\"],n.Sort=[\"ascending\",\"descending\"],n.SpatialUnits=[\"screen\",\"data\"],n.StartEnd=[\"start\",\"end\"],n.StepMode=[\"after\",\"before\",\"center\"],n.TapBehavior=[\"select\",\"inspect\"],n.TextAlign=[\"left\",\"right\",\"center\"],n.TextBaseline=[\"top\",\"middle\",\"bottom\",\"alphabetic\",\"hanging\",\"ideographic\"],n.TextureRepetition=[\"repeat\",\"repeat_x\",\"repeat_y\",\"no_repeat\"],n.TickLabelOrientation=[\"vertical\",\"horizontal\",\"parallel\",\"normal\"],n.TooltipAttachment=[\"horizontal\",\"vertical\",\"left\",\"right\",\"above\",\"below\"],n.UpdateMode=[\"replace\",\"append\"],n.VerticalAlign=[\"top\",\"middle\",\"bottom\"]},function(t,e,n){var i=t(426),r=t(22),o=t(19),s=t(37),a=t(18),l=t(40),c=t(24),h=t(35),u=t(46),_=t(33),d=function(t){function e(e){void 0===e&&(e={});var n=t.call(this)||this;for(var i in n._subtype=void 0,n.document=null,n.destroyed=new r.Signal0(n,\"destroyed\"),n.change=new r.Signal0(n,\"change\"),n.transformchange=new r.Signal0(n,\"transformchange\"),n.attributes={},n.properties={},n._set_after_defaults={},n._pending=!1,n._changing=!1,n.props){var o=n.props[i],s=o.type,a=o.default_value;if(null==s)throw new Error(\"undefined property type for \"+n.type+\".\"+i);n.properties[i]=new s(n,i,a)}null==e.id&&n.setv({id:l.uniqueId()},{silent:!0});var c=e.__deferred__||!1;return c&&delete(e=h.clone(e)).__deferred__,n.setv(e,{silent:!0}),c||n.finalize(),n}return i.__extends(e,t),Object.defineProperty(e.prototype,\"type\",{get:function(){return 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t)e(i)},e.internal=function(t){var e={};for(var n in t){var i=t[n],r=i[0],o=i[1];e[n]=[r,o,!0]}this.define(e)},e.mixin=function(){for(var t=[],e=0;e0&&(this._pending=!0);for(var c=0;c1)return s(t,n);var o={x:e.x+r*(n.x-e.x),y:e.y+r*(n.y-e.y)};return s(t,o)}n.point_in_poly=function(t,e,n,i){for(var r=!1,o=n[n.length-1],s=i[i.length-1],a=0;a0&&c<1&&h>0&&h<1,x:d,y:p}}},function(t,e,n){var i=t(426),r=t(14),o=t(27),s=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.children=[],e}return i.__extends(e,t),e.__name__=\"Stack\",e}(r.Layoutable);n.Stack=s;var a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype._measure=function(t){for(var e=0,n=0,i=0,r=this.children;i0)for(var S=h(k.height/C.length),M=0,E=C;M0)for(var P=h(k.width/z.length),j=0,N=z;j0)for(var p=0;pm?m:y,v--}}}_=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:u.size.width;for(var b=0,w=0;w0)for(var w=0;wA?A:y,v--}}}var C=this._measure_cells(function(t,e){return{width:u.col_widths[e],height:u.row_heights[t]}}),T=C.row_heights,S=C.col_widths,M=C.size_hints,E=this._measure_totals(T,S);return{size:E,row_heights:T,col_widths:S,size_hints:M}},e.prototype._measure=function(t){var e=this._measure_grid(t).size;return e},e.prototype._set_geometry=function(e,n){t.prototype._set_geometry.call(this,e,n);for(var r=this._state,o=r.nrows,s=r.ncols,l=r.rspacing,_=r.cspacing,d=this._measure_grid(e),p=d.row_heights,f=d.col_widths,m=d.size_hints,v=this._state.rows.map(function(t,e){return i.__assign({},t,{top:0,height:p[e],get bottom(){return this.top+this.height}})}),g=this._state.cols.map(function(t,e){return i.__assign({},t,{left:0,width:f[e],get right(){return this.left+this.width}})}),y=m.map(function(t,e){return i.__assign({},e,{outer:new a.BBox,inner:new a.BBox})}),b=0,w=this.absolute?e.top:0;bn[e]}(s,a)?n=l(i*r):i=l(n/r);else\"fixed\"==s?i=l(n/r):\"fixed\"==a&&(n=l(i*r))}return{width:n,height:i}},t.prototype.measure=function(t){var e=this;if(!this.sizing.visible)return{width:0,height:0};var n=function(t){return\"fixed\"==e.sizing.width_policy&&null!=e.sizing.width?e.sizing.width:t},o=function(t){return\"fixed\"==e.sizing.height_policy&&null!=e.sizing.height?e.sizing.height:t},s=new r.Sizeable(t).shrink_by(this.sizing.margin).map(n,o),a=this._measure(s),l=this.clip_size(a),c=n(l.width),h=o(l.height),u=this.apply_aspect(s,{width:c,height:h});return i.__assign({},a,u)},t.prototype.compute=function(t){void 0===t&&(t={});var e=this.measure({width:null!=t.width&&this.is_width_expanding()?t.width:1/0,height:null!=t.height&&this.is_height_expanding()?t.height:1/0}),n=e.width,i=e.height,r=new o.BBox({left:0,top:0,width:n,height:i}),s=void 0;if(null!=e.inner){var a=e.inner,l=a.left,c=a.top,h=a.right,u=a.bottom;s=new o.BBox({left:l,top:c,right:n-h,bottom:i-u})}this.set_geometry(r,s)},Object.defineProperty(t.prototype,\"xview\",{get:function(){return this.bbox.xview},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"yview\",{get:function(){return this.bbox.yview},enumerable:!0,configurable:!0}),t.prototype.clip_width=function(t){return a(this.sizing.min_width,s(t,this.sizing.max_width))},t.prototype.clip_height=function(t){return a(this.sizing.min_height,s(t,this.sizing.max_height))},t.prototype.clip_size=function(t){var e=t.width,n=t.height;return{width:this.clip_width(e),height:this.clip_height(n)}},t.__name__=\"Layoutable\",t}();n.Layoutable=c;var h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype._measure=function(t){var e,n,i=this.sizing,r=i.width_policy,o=i.height_policy;if(t.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else if(\"fixed\"==r)e=null!=this.sizing.width?this.sizing.width:0;else if(\"min\"==r)e=null!=this.sizing.width?s(t.width,this.sizing.width):0;else if(\"fit\"==r)e=null!=this.sizing.width?s(t.width,this.sizing.width):t.width;else{if(\"max\"!=r)throw new Error(\"unrechable\");e=null!=this.sizing.width?a(t.width,this.sizing.width):t.width}if(t.height==1/0)n=null!=this.sizing.height?this.sizing.height:0;else if(\"fixed\"==o)n=null!=this.sizing.height?this.sizing.height:0;else if(\"min\"==o)n=null!=this.sizing.height?s(t.height,this.sizing.height):0;else if(\"fit\"==o)n=null!=this.sizing.height?s(t.height,this.sizing.height):t.height;else{if(\"max\"!=o)throw new Error(\"unrechable\");n=null!=this.sizing.height?a(t.height,this.sizing.height):t.height}return{width:e,height:n}},e.__name__=\"LayoutItem\",e}(c);n.LayoutItem=h;var u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype._measure=function(t){var e=this,n=this._content_size(),i=t.bounded_to(this.sizing.size).bounded_to(n),r=function(){switch(e.sizing.width_policy){case\"fixed\":return null!=e.sizing.width?e.sizing.width:n.width;case\"min\":return n.width;case\"fit\":return i.width;case\"max\":return Math.max(n.width,i.width);default:throw new Error(\"unexpected\")}}(),o=function(){switch(e.sizing.height_policy){case\"fixed\":return null!=e.sizing.height?e.sizing.height:n.height;case\"min\":return n.height;case\"fit\":return i.height;case\"max\":return Math.max(n.height,i.height);default:throw new Error(\"unexpected\")}}();return{width:r,height:o}},e.__name__=\"ContentLayoutable\",e}(c);n.ContentLayoutable=u},function(t,e,n){var 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l=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=a,this.mixins([\"text\",\"line:border_\",\"fill:background_\"]),this.define({x:[s.Number],x_units:[s.SpatialUnits,\"data\"],y:[s.Number],y_units:[s.SpatialUnits,\"data\"],text:[s.String],angle:[s.Angle,0],angle_units:[s.AngleUnits,\"rad\"],x_offset:[s.Number,0],y_offset:[s.Number,0],x_range_name:[s.String,\"default\"],y_range_name:[s.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})},e.__name__=\"Label\",e}(r.TextAnnotation);n.Label=l,l.initClass()},function(t,e,n){var i=t(426),r=t(77),o=t(212),s=t(5),a=t(18),l=t(303),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype.initialize=function(){if(t.prototype.initialize.call(this),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(var 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c.unzip(i)};this._width_formats={microseconds:e(this.microseconds),milliseconds:e(this.milliseconds),seconds:e(this.seconds),minsec:e(this.minsec),minutes:e(this.minutes),hourmin:e(this.hourmin),hours:e(this.hours),days:e(this.days),months:e(this.months),years:e(this.years)}},e.prototype._get_resolution_str=function(t,e){var n=1.1*t;switch(!1){case!(n<.001):return\"microseconds\";case!(n<1):return\"milliseconds\";case!(n<60):return e>=60?\"minsec\":\"seconds\";case!(n<3600):return e>=3600?\"hourmin\":\"minutes\";case!(n<86400):return\"hours\";case!(n<2678400):return\"days\";case!(n<31536e3):return\"months\";default:return\"years\"}},e.prototype.doFormat=function(t,e){if(0==t.length)return[];for(var n=Math.abs(t[t.length-1]-t[0])/1e3,i=n/(t.length-1),r=this._get_resolution_str(i,n),o=this._width_formats[r],a=o[1][0],l=[],c=d.indexOf(r),h={},p=0,f=d;p0&&r[o]==r[o-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):r},e.__name__=\"LogTickFormatter\",e}(r.TickFormatter);n.LogTickFormatter=l,l.initClass()},function(t,e,n){var i=t(426),r=t(107),o=t(18),s=t(36),a=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.define({dimension:[o.LatLon]})},e.prototype.doFormat=function(e,n){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==e.length)return[];var i=e.length,r=new Array(i);if(\"lon\"==this.dimension)for(var o=0;o=x&&v.push([b,C])}for(var T=this.model.properties.direction.value(),S=[],M=0,E=v;M=w&&m.push([y,k])}return o.create_hit_test_result_from_hits(m)},e.prototype.draw_legend_for_index=function(t,e,n){var i=e.x0,r=e.y0,o=e.x1,s=e.y1,a=n+1,l=new Array(a);l[n]=(i+o)/2;var c=new Array(a);c[n]=(r+s)/2;var h=.5*Math.min(Math.abs(o-i),Math.abs(s-r)),u=new Array(a);u[n]=.4*h;var _=new Array(a);_[n]=.8*h,this._render(t,[n],{sx:l,sy:c,sinner_radius:u,souter_radius:_})},e.__name__=\"AnnulusView\",e}(r.XYGlyphView);n.AnnulusView=l;var c=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=l,this.mixins([\"line\",\"fill\"]),this.define({inner_radius:[s.DistanceSpec],outer_radius:[s.DistanceSpec]})},e.__name__=\"Annulus\",e}(r.XYGlyph);n.Annulus=c,c.initClass()},function(t,e,n){var i=t(426),r=t(153),o=t(149),s=t(18),a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype._map_data=function(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius},e.prototype._render=function(t,e,n){var i=n.sx,r=n.sy,o=n.sradius,s=n._start_angle,a=n._end_angle;if(this.visuals.line.doit)for(var l=this.model.properties.direction.value(),c=0,h=e;c1?(_[n]=u,d[n]=u/h):(_[n]=u*h,d[n]=u),this._render(t,[n],{sx:l,sy:c,sw:_,sh:d,_angle:[0]})},e.prototype._bounds=function(t){var e=t.x0,n=t.x1,i=t.y0,r=t.y1;return{x0:e-this.max_w2,x1:n+this.max_w2,y0:i-this.max_h2,y1:r+this.max_h2}},e.__name__=\"EllipseOvalView\",e}(r.CenterRotatableView);n.EllipseOvalView=s;var a=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.__name__=\"EllipseOval\",e}(r.CenterRotatable);n.EllipseOval=a},function(t,e,n){var i=t(426),r=t(9),o=t(18),s=t(27),a=t(36),l=t(51),c=t(50),h=t(62),u=t(17),_=t(25),d=t(35),p=t(46),f=t(136),m=t(192),v=function(e){function n(){var t=null!==e&&e.apply(this,arguments)||this;return t._nohit_warned={},t}return i.__extends(n,e),Object.defineProperty(n.prototype,\"renderer\",{get:function(){return this.parent},enumerable:!0,configurable:!0}),n.prototype.initialize=function(){e.prototype.initialize.call(this),this._nohit_warned={},this.visuals=new l.Visuals(this.model);var n=this.renderer.plot_view.gl;if(null!=n){var i=null;try{i=t(508)}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;u.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=i){var r=i[this.model.type+\"GLGlyph\"];null!=r&&(this.glglyph=new r(n.ctx,this))}}},n.prototype.set_visuals=function(t){this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()},n.prototype.render=function(t,e,n){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,n)||this._render(t,e,n)},n.prototype.has_finished=function(){return!0},n.prototype.notify_finished=function(){this.renderer.notify_finished()},n.prototype._bounds=function(t){return t},n.prototype.bounds=function(){return this._bounds(this.index.bbox)},n.prototype.log_bounds=function(){for(var t=s.empty(),e=this.index.search(s.positive_x()),n=0,i=e;nt.x1&&(t.x1=r.x1)}for(var o=this.index.search(s.positive_y()),a=0,l=o;at.y1&&(t.y1=c.y1)}return this._bounds(t)},n.prototype.get_anchor_point=function(t,e,n){var i=n[0],r=n[1];switch(t){case\"center\":return{x:this.scenterx(e,i,r),y:this.scentery(e,i,r)};default:return null}},n.prototype.sdist=function(t,e,n,i,r){var o,s;void 0===i&&(i=\"edge\"),void 0===r&&(r=!1);var a=e.length;if(\"center\"==i){var l=_.map(n,function(t){return t/2});o=new Float64Array(a);for(var c=0;c=0;o--)t.lineTo(n[o],i[o]);t.closePath(),r.call(t)},e.prototype._render=function(t,e,n){var i=this,r=n.sx1,o=n.sx2,s=n.sy;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner(t,r,o,s,t.fill)),this.visuals.hatch.doit2(t,0,function(){return i._inner(t,r,o,s,t.fill)},function(){return i.renderer.request_render()})},e.prototype._hit_point=function(t){for(var e=this,n=s.create_empty_hit_test_result(),i=this.sy.length,r=new Float64Array(2*i),o=new Float64Array(2*i),a=0,l=i;a0){i=this._image[e];var r=this._image_shape[e];this._height[e]=r[0],this._width[e]=r[1]}else{var o=this._image[e];i=a.concat(o),this._height[e]=o.length,this._width[e]=o[0].length}var s=t.v_compute(i);this._set_image_data_from_buffer(e,s)}},e.prototype._render=function(t,e,n){var i=n.image_data,r=n.sx,o=n.sy,s=n.sw,a=n.sh,l=t.getImageSmoothingEnabled();t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.global_alpha;for(var c=0,h=e;c0){i=this._image[e].buffer;var r=this._image_shape[e];this._height[e]=r[0],this._width[e]=r[1]}else{var s=this._image[e],a=o.concat(s);i=new ArrayBuffer(4*a.length);for(var l=new Uint32Array(i),c=0,h=a.length;c0?(o.logger.trace(\"ImageURL failed to load \"+a+\" image, retrying in \"+i+\" ms\"),setTimeout(function(){return l.src=a},i)):o.logger.warn(\"ImageURL unable to load \"+a+\" image after \"+n+\" retries\"),t.retries[e]-=1},l.onload=function(){t.image[e]=l,t.renderer.request_render()},l.src=a},s=this,l=0,c=this._url.length;l1&&(t.stroke(),o=!1)}o?t.lineTo(i[c],r[c]):(t.beginPath(),t.moveTo(i[c],r[c]),o=!0),s=c}o&&t.stroke()},e.prototype._hit_point=function(t){for(var e=this,n=s.create_empty_hit_test_result(),i={x:t.sx,y:t.sy},r=9999,o=Math.max(2,this.visuals.line.line_width.value()/2),a=0,l=this.sx.length-1;a0&&(l[c]=u)}return a.indices=s.keys(l).map(function(t){return parseInt(t,10)}),a.multiline_indices=l,a},e.prototype.get_interpolation_hit=function(t,e,n){var i=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]],r=i[0],o=i[1],s=i[2],a=i[3];return h.line_interpolation(this.renderer,n,r,o,s,a)},e.prototype.draw_legend_for_index=function(t,e,n){h.generic_line_legend(this.visuals,t,e,n)},e.prototype.scenterx=function(){throw new Error(\"not implemented\")},e.prototype.scentery=function(){throw new Error(\"not implemented\")},e.__name__=\"MultiLineView\",e}(c.GlyphView);n.MultiLineView=u;var _=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=u,this.coords([[\"xs\",\"ys\"]]),this.mixins([\"line\"])},e.__name__=\"MultiLine\",e}(c.Glyph);n.MultiLine=_,_.initClass()},function(t,e,n){var i=t(426),r=t(39),o=t(127),s=t(149),a=t(24),l=t(25),c=t(9),h=t(46),u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype._index_data=function(){for(var t=[],e=0,n=this._xs.length;e1)for(var s=1,l=this._xs[e][i].length;s1){for(var v=!1,g=1;g0;){var o=a.find_last_index(r,function(t){return c.isStrictNaN(t)}),s=void 0;o>=0?s=r.splice(o):(s=r,r=[]);var l=s.filter(function(t){return!c.isStrictNaN(t)});e[n].push(l)}}return e},e.prototype._index_data=function(){for(var t=this._build_discontinuous_object(this._xs),e=this._build_discontinuous_object(this._ys),n=[],i=0,o=this._xs.length;i=0,b=n-this.sy1[a]<=this.sh[a]&&n-this.sy1[a]>=0;b&&w&&v.push(a)}var T=s.create_empty_hit_test_result();return T.indices=v,T},e.prototype._map_dist_corner_for_data_side_length=function(t,e,n){for(var i=t.length,r=new Float64Array(i),o=new Float64Array(i),s=0;s1&&(t.stroke(),u=!1)}u?(t.lineTo(v,y),t.lineTo(g,b)):(t.beginPath(),t.moveTo(c[m],h[m]),u=!0),_=m}t.lineTo(c[d-1],h[d-1]),t.stroke()}},e.prototype.draw_legend_for_index=function(t,e,n){o.generic_line_legend(this.visuals,t,e,n)},e.__name__=\"StepView\",e}(r.XYGlyphView);n.StepView=a;var l=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=a,this.mixins([\"line\"]),this.define({mode:[s.StepMode,\"before\"]})},e.__name__=\"Step\",e}(r.XYGlyph);n.Step=l,l.initClass()},function(t,e,n){var i=t(426),r=t(153),o=t(9),s=t(18),a=t(43),l=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype._rotate_point=function(t,e,n,i,r){var o=(t-n)*Math.cos(r)-(e-i)*Math.sin(r)+n,s=(t-n)*Math.sin(r)+(e-i)*Math.cos(r)+i;return[o,s]},e.prototype._text_bounds=function(t,e,n,i){var r=[t,t+n,t+n,t,t],o=[e,e,e-i,e-i,e];return[r,o]},e.prototype._render=function(t,e,n){var i=n.sx,r=n.sy,o=n._x_offset,s=n._y_offset,l=n._angle,c=n._text;this._sys=[],this._sxs=[];for(var h=0,u=e;h=0;o--)t.lineTo(e[o],i[o]);t.closePath(),r.call(t)},e.prototype._render=function(t,e,n){var i=this,r=n.sx,o=n.sy1,s=n.sy2;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner(t,r,o,s,t.fill)),this.visuals.hatch.doit2(t,0,function(){return i._inner(t,r,o,s,t.fill)},function(){return i.renderer.request_render()})},e.prototype.scenterx=function(t){return this.sx[t]},e.prototype.scentery=function(t){return(this.sy1[t]+this.sy2[t])/2},e.prototype._hit_point=function(t){for(var e=this,n=s.create_empty_hit_test_result(),i=this.sx.length,r=new Float64Array(2*i),o=new Float64Array(2*i),a=0,l=i;ao[1]&&(n=o[1]);else{e=o[0],n=o[1];for(var a=0,l=this.plot_view.axis_views;a0||b>0)return{width:y>0?y:void 0,height:b>0?b:void 0}}return{}})},e.prototype.serializable_state=function(){return i.__assign({},t.prototype.serializable_state.call(this),{bbox:this.layout.bbox.box,children:this.child_views.map(function(t){return t.serializable_state()})})},e.__name__=\"LayoutDOMView\",e}(h.DOMView);n.LayoutDOMView=_;var d=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.define({width:[l.Number,null],height:[l.Number,null],min_width:[l.Number,null],min_height:[l.Number,null],max_width:[l.Number,null],max_height:[l.Number,null],margin:[l.Any,[0,0,0,0]],width_policy:[l.Any,\"auto\"],height_policy:[l.Any,\"auto\"],aspect_ratio:[l.Any,null],sizing_mode:[l.SizingMode,null],visible:[l.Boolean,!0],disabled:[l.Boolean,!1],align:[l.Any,\"start\"],background:[l.Color,null],css_classes:[l.Array,[]]})},e.__name__=\"LayoutDOM\",e}(r.Model);n.LayoutDOM=d,d.initClass()},function(t,e,n){var i=t(426),r=t(161),o=t(11),s=t(18),a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype._update_layout=function(){var t=this.child_views.map(function(t){return t.layout});this.layout=new o.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())},e.__name__=\"RowView\",e}(r.BoxView);n.RowView=a;var l=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=a,this.define({cols:[s.Any,\"auto\"]})},e.__name__=\"Row\",e}(r.Box);n.Row=l,l.initClass()},function(t,e,n){var i=t(426),r=t(166),o=t(13),s=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),Object.defineProperty(e.prototype,\"child_models\",{get:function(){return[]},enumerable:!0,configurable:!0}),e.prototype._update_layout=function(){this.layout=new o.LayoutItem,this.layout.set_sizing(this.box_sizing())},e.__name__=\"SpacerView\",e}(r.LayoutDOMView);n.SpacerView=s;var a=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=s},e.__name__=\"Spacer\",e}(r.LayoutDOM);n.Spacer=a,a.initClass()},function(t,e,n){var i=t(426),r=t(13),o=t(5),s=t(24),a=t(18),l=t(166),c=t(62),h=t(309),u=t(312),_=t(304),d=t(308),p=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.model.properties.tabs.change,function(){return e.rebuild()}),this.connect(this.model.properties.active.change,function(){return e.on_active_change()})},Object.defineProperty(e.prototype,\"child_models\",{get:function(){return this.model.tabs.map(function(t){return t.child})},enumerable:!0,configurable:!0}),e.prototype._update_layout=function(){var t=this.model.tabs_location,e=\"above\"==t||\"below\"==t,n=this.scroll_el,a=this.headers_el;this.header=new(function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(r,t),r.prototype._measure=function(i){var r=o.size(n),l=o.children(a).slice(0,3).map(function(t){return o.size(t)}),c=t.prototype._measure.call(this,i),h=c.width,u=c.height;if(e){var _=r.width+s.sum(l.map(function(t){return t.width}));return{width:i.width!=1/0?i.width:_,height:u}}var d=r.height+s.sum(l.map(function(t){return t.height}));return{width:h,height:i.height!=1/0?i.height:d}},r}(r.ContentBox))(this.header_el),e?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});var l=1,c=1;switch(t){case\"above\":l-=1;break;case\"below\":l+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}var h={layout:this.header,row:l,col:c},u=this.child_views.map(function(t){return{layout:t.layout,row:1,col:1}});this.layout=new r.Grid([h].concat(u)),this.layout.set_sizing(this.box_sizing())},e.prototype.update_position=function(){t.prototype.update_position.call(this),this.header_el.style.position=\"absolute\",o.position(this.header_el,this.header.bbox);var e=this.model.tabs_location,n=\"above\"==e||\"below\"==e,i=o.size(this.scroll_el),r=o.scroll_size(this.headers_el);if(n){var s=this.header.bbox.width;r.width>s?(this.wrapper_el.style.maxWidth=s-i.width+\"px\",o.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",o.undisplay(this.scroll_el))}else{var a=this.header.bbox.height;r.height>a?(this.wrapper_el.style.maxHeight=a-i.height+\"px\",o.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",o.undisplay(this.scroll_el))}for(var l=this.child_views,c=0,h=l;cn-1&&(e.model.active=n-1)}}),r.appendChild(a)}return r});this.headers_el=o.div({class:[u.bk_headers]},a),this.wrapper_el=o.div({class:u.bk_headers_wrapper},this.headers_el);var l=o.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},o.div({class:[d.bk_caret,h.bk_left]})),c=o.div({class:[_.bk_btn,_.bk_btn_default]},o.div({class:[d.bk_caret,h.bk_right]})),p=0,f=function(t){return function(){var n=e.model.tabs.length;0==(p=\"left\"==t?Math.max(p-1,0):Math.min(p+1,n-1))?l.setAttribute(\"disabled\",\"\"):l.removeAttribute(\"disabled\"),p==n-1?c.setAttribute(\"disabled\",\"\"):c.removeAttribute(\"disabled\");var i=o.children(e.headers_el).slice(0,p).map(function(t){return t.getBoundingClientRect()});if(r){var a=-s.sum(i.map(function(t){return t.width}));e.headers_el.style.left=a+\"px\"}else{var h=-s.sum(i.map(function(t){return t.height}));e.headers_el.style.top=h+\"px\"}}};l.addEventListener(\"click\",f(\"left\")),c.addEventListener(\"click\",f(\"right\")),this.scroll_el=o.div({class:_.bk_btn_group},l,c),this.header_el=o.div({class:[u.bk_tabs_header,h.bk_side(i)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)},e.prototype.change_active=function(t){t!=this.model.active&&(this.model.active=t,null!=this.model.callback&&this.model.callback.execute(this.model))},e.prototype.on_active_change=function(){for(var t=this.model.active,e=o.children(this.headers_el),n=0,i=e;n=n.length?c:n[d],s[h]=p},u=0,_=t.length;u<_;u++)h(u,_)}},function(t,e,n){var i=t(426),r=t(172),o=t(180),s=t(18),a=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.define({factors:[s.Array],markers:[s.Array],start:[s.Number,0],end:[s.Number],default_value:[s.MarkerType,\"circle\"]})},e.prototype.v_compute=function(t){var e=new Array(t.length);return r.cat_v_compute(t,this.factors,this.markers,e,this.start,this.end,this.default_value),e},e.__name__=\"CategoricalMarkerMapper\",e}(o.Mapper);n.CategoricalMarkerMapper=a,a.initClass()},function(t,e,n){var i=t(426),r=t(172),o=t(180),s=t(18),a=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.define({factors:[s.Array],patterns:[s.Array],start:[s.Number,0],end:[s.Number],default_value:[s.HatchPatternType,\" \"]})},e.prototype.v_compute=function(t){var e=new Array(t.length);return r.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e},e.__name__=\"CategoricalPatternMapper\",e}(o.Mapper);n.CategoricalPatternMapper=a,a.initClass()},function(t,e,n){var i=t(426),r=t(180),o=t(18),s=t(46),a=t(30),l=t(31);function c(t){return s.isNumber(t)?t:(\"#\"!=t[0]&&(t=a.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function h(t){for(var e=new Uint32Array(t.length),n=0,i=t.length;nh?null!=a?a:n[h]:n[v]}else e[d]=n[h]}},e.__name__=\"LinearColorMapper\",e}(r.ContinuousColorMapper);n.LinearColorMapper=s},function(t,e,n){var i=t(426),r=t(176),o=t(25),s=null!=Math.log1p?Math.log1p:function(t){return Math.log(1+t)},a=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.prototype._v_compute=function(t,e,n,i){for(var r=i.nan_color,a=i.low_color,l=i.high_color,c=n.length,h=null!=this.low?this.low:o.min(t),u=null!=this.high?this.high:o.max(t),_=c/(s(u)-s(h)),d=n.length-1,p=0,f=t.length;pu)e[p]=null!=l?l:n[d];else if(m!=u)if(md&&(g=d),e[p]=n[g]}else e[p]=n[d]}},e.__name__=\"LogColorMapper\",e}(r.ContinuousColorMapper);n.LogColorMapper=a},function(t,e,n){var i=t(426),r=t(297),o=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.prototype.compute=function(t){throw new Error(\"mapping single values is not supported\")},e.__name__=\"Mapper\",e}(r.Transform);n.Mapper=o},function(t,e,n){var i=t(426),r=t(183),o=Math.sqrt(3);function s(t,e){t.moveTo(-e,e),t.lineTo(e,-e),t.moveTo(-e,-e),t.lineTo(e,e)}function a(t,e){t.moveTo(0,e),t.lineTo(0,-e),t.moveTo(-e,0),t.lineTo(e,0)}function l(t,e){t.moveTo(0,e),t.lineTo(e/1.5,0),t.lineTo(0,-e),t.lineTo(-e/1.5,0),t.closePath()}function c(t,e){var n=e*o,i=n/3;t.moveTo(-e,i),t.lineTo(e,i),t.lineTo(0,i-n),t.closePath()}function h(t,e,n,i,r){var o=.65*n;a(t,n),s(t,o),i.doit&&(i.set_vectorize(t,e),t.stroke())}function u(t,e,n,i,r){t.arc(0,0,n,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(t,e),t.fill()),i.doit&&(i.set_vectorize(t,e),a(t,n),t.stroke())}function _(t,e,n,i,r){t.arc(0,0,n,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(t,e),t.fill()),i.doit&&(i.set_vectorize(t,e),s(t,n),t.stroke())}function d(t,e,n,i,r){a(t,n),i.doit&&(i.set_vectorize(t,e),t.stroke())}function p(t,e,n,i,r){l(t,n),r.doit&&(r.set_vectorize(t,e),t.fill()),i.doit&&(i.set_vectorize(t,e),t.stroke())}function f(t,e,n,i,r){l(t,n),r.doit&&(r.set_vectorize(t,e),t.fill()),i.doit&&(i.set_vectorize(t,e),a(t,n),t.stroke())}function m(t,e,n,i,r){!function(t,e){var n=e/2,i=o*n;t.moveTo(e,0),t.lineTo(n,-i),t.lineTo(-n,-i),t.lineTo(-e,0),t.lineTo(-n,i),t.lineTo(n,i),t.closePath()}(t,n),r.doit&&(r.set_vectorize(t,e),t.fill()),i.doit&&(i.set_vectorize(t,e),t.stroke())}function v(t,e,n,i,r){t.rotate(Math.PI),c(t,n),t.rotate(-Math.PI),r.doit&&(r.set_vectorize(t,e),t.fill()),i.doit&&(i.set_vectorize(t,e),t.stroke())}function g(t,e,n,i,r){var o=2*n;t.rect(-n,-n,o,o),r.doit&&(r.set_vectorize(t,e),t.fill()),i.doit&&(i.set_vectorize(t,e),t.stroke())}function y(t,e,n,i,r){var o=2*n;t.rect(-n,-n,o,o),r.doit&&(r.set_vectorize(t,e),t.fill()),i.doit&&(i.set_vectorize(t,e),a(t,n),t.stroke())}function b(t,e,n,i,r){var o=2*n;t.rect(-n,-n,o,o),r.doit&&(r.set_vectorize(t,e),t.fill()),i.doit&&(i.set_vectorize(t,e),s(t,n),t.stroke())}function w(t,e,n,i,r){c(t,n),r.doit&&(r.set_vectorize(t,e),t.fill()),i.doit&&(i.set_vectorize(t,e),t.stroke())}function x(t,e,n,i,r){!function(t,e){t.moveTo(-e,0),t.lineTo(e,0)}(t,n),i.doit&&(i.set_vectorize(t,e),t.stroke())}function A(t,e,n,i,r){s(t,n),i.doit&&(i.set_vectorize(t,e),t.stroke())}function k(t,e){var n,o=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n.initClass=function(){this.prototype._render_one=e},n}(r.MarkerView);o.initClass();var s=((n=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=o},e}(r.Marker)).__name__=t,n);return s.initClass(),s}n.Asterisk=k(\"Asterisk\",h),n.CircleCross=k(\"CircleCross\",u),n.CircleX=k(\"CircleX\",_),n.Cross=k(\"Cross\",d),n.Dash=k(\"Dash\",x),n.Diamond=k(\"Diamond\",p),n.DiamondCross=k(\"DiamondCross\",f),n.Hex=k(\"Hex\",m),n.InvertedTriangle=k(\"InvertedTriangle\",v),n.Square=k(\"Square\",g),n.SquareCross=k(\"SquareCross\",y),n.SquareX=k(\"SquareX\",b),n.Triangle=k(\"Triangle\",w),n.X=k(\"X\",A),n.marker_funcs={asterisk:h,circle:function(t,e,n,i,r){t.arc(0,0,n,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(t,e),t.fill()),i.doit&&(i.set_vectorize(t,e),t.stroke())},circle_cross:u,circle_x:_,cross:d,diamond:p,diamond_cross:f,hex:m,inverted_triangle:v,square:g,square_cross:y,square_x:b,triangle:w,dash:x,x:A}},function(t,e,n){var i=t(426);i.__exportStar(t(181),n);var r=t(183);n.Marker=r.Marker;var o=t(184);n.Scatter=o.Scatter},function(t,e,n){var i=t(426),r=t(153),o=t(9),s=t(18),a=t(24),l=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype._render=function(t,e,n){for(var i=n.sx,r=n.sy,o=n._size,s=n._angle,a=0,l=e;a=2){this.map.setZoom(r);var o=this._get_projected_bounds(),s=o[0],a=o[1];a-s<0&&this.map.setZoom(i)}this.unpause()}this._set_bokeh_ranges()},e.prototype._build_map=function(){var t=this,e=google.maps;this.map_types={satellite:e.MapTypeId.SATELLITE,terrain:e.MapTypeId.TERRAIN,roadmap:e.MapTypeId.ROADMAP,hybrid:e.MapTypeId.HYBRID};var n=this.model.map_options,i={center:new e.LatLng(n.lat,n.lng),zoom:n.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[n.map_type],scaleControl:n.scale_control,tilt:n.tilt};null!=n.styles&&(i.styles=JSON.parse(n.styles)),this.map=new e.Map(this.canvas_view.map_el,i),e.event.addListener(this.map,\"idle\",function(){return t._set_bokeh_ranges()}),e.event.addListener(this.map,\"bounds_changed\",function(){return t._set_bokeh_ranges()}),e.event.addListenerOnce(this.map,\"tilesloaded\",function(){return t._render_finished()}),this.connect(this.model.properties.map_options.change,function(){return t._update_options()}),this.connect(this.model.map_options.properties.styles.change,function(){return t._update_styles()}),this.connect(this.model.map_options.properties.lat.change,function(){return t._update_center(\"lat\")}),this.connect(this.model.map_options.properties.lng.change,function(){return t._update_center(\"lng\")}),this.connect(this.model.map_options.properties.zoom.change,function(){return t._update_zoom()}),this.connect(this.model.map_options.properties.map_type.change,function(){return t._update_map_type()}),this.connect(this.model.map_options.properties.scale_control.change,function(){return t._update_scale_control()}),this.connect(this.model.map_options.properties.tilt.change,function(){return t._update_tilt()})},e.prototype._render_finished=function(){this._tiles_loaded=!0,this.notify_finished()},e.prototype.has_finished=function(){return t.prototype.has_finished.call(this)&&!0===this._tiles_loaded},e.prototype._get_latlon_bounds=function(){var t=this.map.getBounds(),e=t.getNorthEast(),n=t.getSouthWest(),i=n.lng(),r=e.lng(),o=n.lat(),s=e.lat();return[i,r,o,s]},e.prototype._get_projected_bounds=function(){var t=this._get_latlon_bounds(),e=t[0],n=t[1],i=t[2],r=t[3],s=o.wgs84_mercator.forward([e,i]),a=s[0],l=s[1],c=o.wgs84_mercator.forward([n,r]),h=c[0],u=c[1];return[a,h,l,u]},e.prototype._set_bokeh_ranges=function(){var t=this._get_projected_bounds(),e=t[0],n=t[1],i=t[2],r=t[3];this.frame.x_range.setv({start:e,end:n}),this.frame.y_range.setv({start:i,end:r})},e.prototype._update_center=function(t){var e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()},e.prototype._update_map_type=function(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})},e.prototype._update_scale_control=function(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})},e.prototype._update_tilt=function(){this.map.setOptions({tilt:this.model.map_options.tilt})},e.prototype._update_options=function(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()},e.prototype._update_styles=function(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})},e.prototype._update_zoom=function(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()},e.prototype._map_hook=function(t,e){var n=e[0],i=e[1],r=e[2],o=e[3];this.canvas_view.map_el.style.top=i+\"px\",this.canvas_view.map_el.style.left=n+\"px\",this.canvas_view.map_el.style.width=r+\"px\",this.canvas_view.map_el.style.height=o+\"px\",null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map()},e.prototype._paint_empty=function(t,e){var n=this.layout._width.value,i=this.layout._height.value,r=e[0],o=e[1],s=e[2],a=e[3];t.clearRect(0,0,n,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(n,i),t.lineTo(n,0),t.lineTo(0,0),t.moveTo(r,o),t.lineTo(r+s,o),t.lineTo(r+s,o+a),t.lineTo(r,o+a),t.lineTo(r,o),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())},e.__name__=\"GMapPlotView\",e}(s.PlotView);n.GMapPlotView=l},function(t,e,n){var i=t(185);n.MapOptions=i.MapOptions;var r=t(185);n.GMapOptions=r.GMapOptions;var o=t(185);n.GMapPlot=o.GMapPlot;var s=t(188);n.Plot=s.Plot},function(t,e,n){var i=t(426),r=t(18),o=t(22),s=t(24),a=t(35),l=t(46),c=t(166),h=t(78),u=t(204),_=t(286),d=t(212),p=t(197),f=t(191),m=t(189);n.PlotView=m.PlotView;var v=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=m.PlotView,this.mixins([\"line:outline_\",\"fill:background_\",\"fill:border_\"]),this.define({toolbar:[r.Instance,function(){return new _.Toolbar}],toolbar_location:[r.Location,\"right\"],toolbar_sticky:[r.Boolean,!0],plot_width:[r.Number,600],plot_height:[r.Number,600],frame_width:[r.Number,null],frame_height:[r.Number,null],title:[r.Any,function(){return new h.Title({text:\"\"})}],title_location:[r.Location,\"above\"],above:[r.Array,[]],below:[r.Array,[]],left:[r.Array,[]],right:[r.Array,[]],center:[r.Array,[]],renderers:[r.Array,[]],x_range:[r.Instance,function(){return new f.DataRange1d}],extra_x_ranges:[r.Any,{}],y_range:[r.Instance,function(){return new f.DataRange1d}],extra_y_ranges:[r.Any,{}],x_scale:[r.Instance,function(){return new u.LinearScale}],y_scale:[r.Instance,function(){return new u.LinearScale}],lod_factor:[r.Number,10],lod_interval:[r.Number,300],lod_threshold:[r.Number,2e3],lod_timeout:[r.Number,500],hidpi:[r.Boolean,!0],output_backend:[r.OutputBackend,\"canvas\"],min_border:[r.Number,5],min_border_top:[r.Number,null],min_border_left:[r.Number,null],min_border_bottom:[r.Number,null],min_border_right:[r.Number,null],inner_width:[r.Number],inner_height:[r.Number],outer_width:[r.Number],outer_height:[r.Number],match_aspect:[r.Boolean,!1],aspect_scale:[r.Number,1],reset_policy:[r.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})},Object.defineProperty(e.prototype,\"width\",{get:function(){var t=this.getv(\"width\");return null!=t?t:this.plot_width},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"height\",{get:function(){var t=this.getv(\"height\");return null!=t?t:this.plot_height},enumerable:!0,configurable:!0}),e.prototype.initialize=function(){t.prototype.initialize.call(this),this.reset=new o.Signal0(this,\"reset\");for(var e=0,n=a.values(this.extra_x_ranges).concat(this.x_range);e=0},n.prototype.can_redo=function(){return this.state.index=c.end&&(r=!0,c.end=_,(e||n)&&(c.start=_+p)),null!=d&&d<=c.start&&(r=!0,c.start=d,(e||n)&&(c.end=d-p))):(null!=_&&_>=c.start&&(r=!0,c.start=_,(e||n)&&(c.end=_+p)),null!=d&&d<=c.end&&(r=!0,c.end=d,(e||n)&&(c.start=d-p)))}}if(!(n&&r&&i))for(var f=0,m=t;f0&&h0&&h>i&&(l=(i-c)/(h-c)),l=Math.max(0,Math.min(1,l))}return l},n.prototype.update_range=function(t,e,n,i){void 0===e&&(e=!1),void 0===n&&(n=!1),void 0===i&&(i=!0),this.pause();var r=this.frame,o=r.x_ranges,s=r.y_ranges;if(null==t){for(var a in o){var l=o[a];l.reset()}for(var c in s){var l=s[c];l.reset()}this.update_dataranges()}else{var h=[];for(var u in o){var l=o[u];h.push([l,t.xrs[u]])}for(var _ in s){var l=s[_];h.push([l,t.yrs[_]])}n&&this._update_ranges_together(h),this._update_ranges_individually(h,e,n,i)}this.unpause()},n.prototype.reset_range=function(){this.update_range(null)},n.prototype._invalidate_layout=function(){var t=this;(function(){for(var e=0,n=t.model.side_panels;e=0&&nt.model.lod_timeout&&e.interactive_stop(t.model),t.request_paint()},this.model.lod_timeout):e.interactive_stop(this.model)}for(var i in this.renderer_views){var r=this.renderer_views[i];if(null==this.range_update_timestamp||r instanceof a.GlyphRendererView&&r.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}}var o=this.canvas_view.ctx,s=this.canvas.pixel_ratio;o.save(),o.scale(s,s),o.translate(.5,.5);var l=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value];if(this._map_hook(o,l),this._paint_empty(o,l),this.prepare_webgl(s,l),this.clear_webgl(),this.visuals.outline_line.doit){o.save(),this.visuals.outline_line.set_value(o);var c=l[0],h=l[1],u=l[2],_=l[3];c+u==this.layout._width.value&&(u-=1),h+_==this.layout._height.value&&(_-=1),o.strokeRect(c,h,u,_),o.restore()}this._paint_levels(o,[\"image\",\"underlay\",\"glyph\"],l,!0),this._paint_levels(o,[\"annotation\"],l,!1),this._paint_levels(o,[\"overlay\"],l,!1),null==this._initial_state_info.range&&this.set_initial_range(),o.restore()}},n.prototype._paint_levels=function(t,e,n,i){for(var r=0,o=e;r0&&(e=e.filter(function(e){return c.includes(t,e.name)})),s.logger.debug(\"computed \"+e.length+\" renderers for DataRange1d \"+this.id);for(var l=0,h=e;l_&&(\"start\"==this.follow?r=i+u*_:\"end\"==this.follow&&(i=r-u*_)),[i,r]},e.prototype.update=function(t,e,n,i){if(!this.have_updated_interactively){var r=this.computed_renderers(),o=this._compute_plot_bounds(r,t);null!=i&&(o=this.adjust_bounds_for_aspect(o,i)),this._plot_bounds[n]=o;var s=this._compute_min_max(this._plot_bounds,e),a=s[0],l=s[1],c=this._compute_range(a,l),h=c[0],u=c[1];null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(h=this._initial_start):h=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(u=this._initial_end):u=this._initial_end);var _=[this.start,this.end],d=_[0],p=_[1];if(h!=d||u!=p){var f={};h!=d&&(f.start=h),u!=p&&(f.end=u),this.setv(f)}\"auto\"==this.bounds&&this.setv({bounds:[h,u]},{silent:!0}),this.change.emit()}},e.prototype.reset=function(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()},e.__name__=\"DataRange1d\",e}(r.DataRange);n.DataRange1d=h,h.initClass()},function(t,e,n){var i=t(426),r=t(194),o=t(18),s=t(25),a=t(24),l=t(46);function c(t,e,n){void 0===n&&(n=0);for(var i={},r=0;rthis.end},enumerable:!0,configurable:!0}),e.__name__=\"Range\",e}(r.Model);n.Range=a,a.initClass()},function(t,e,n){var i=t(426),r=t(194),o=t(18),s=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.define({start:[o.Number,0],end:[o.Number,1],reset_start:[o.Number],reset_end:[o.Number]})},e.prototype._set_auto_bounds=function(){if(\"auto\"==this.bounds){var t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}},e.prototype.initialize=function(){t.prototype.initialize.call(this),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()},Object.defineProperty(e.prototype,\"min\",{get:function(){return Math.min(this.start,this.end)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"max\",{get:function(){return Math.max(this.start,this.end)},enumerable:!0,configurable:!0}),e.prototype.reset=function(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()},e.__name__=\"Range1d\",e}(r.Range);n.Range1d=s,s.initClass()},function(t,e,n){var i=t(426),r=t(201),o=t(18),s=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.__name__=\"DataRendererView\",e}(r.RendererView);n.DataRendererView=s;var a=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.define({x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({level:\"glyph\"})},e.__name__=\"DataRenderer\",e}(r.Renderer);n.DataRenderer=a,a.initClass()},function(t,e,n){var i=t(426),r=t(196),o=t(136),s=t(140),a=t(128),l=t(150),c=t(211),h=t(17),u=t(18),_=t(25),d=t(24),p=t(35),f=t(192),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},g={fill:{fill_alpha:.2},line:{}},y=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype.initialize=function(){t.prototype.initialize.call(this);var e=this.model.glyph,n=d.includes(e.mixins,\"fill\"),i=d.includes(e.mixins,\"line\"),r=p.clone(e.attributes);function o(t){var o=p.clone(r);return n&&p.extend(o,t.fill),i&&p.extend(o,t.line),new e.constructor(o)}delete r.id,this.glyph=this.build_glyph_view(e);var s=this.model.selection_glyph;null==s?s=o({fill:{},line:{}}):\"auto\"===s&&(s=o(m)),this.selection_glyph=this.build_glyph_view(s);var a=this.model.nonselection_glyph;null==a?a=o({fill:{},line:{}}):\"auto\"===a&&(a=o(g)),this.nonselection_glyph=this.build_glyph_view(a);var 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n=Date.now(),i=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(i,this.all_indices,e),this.glyph.set_visuals(i),this.decimated_glyph.set_visuals(i),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(i),this.nonselection_glyph.set_visuals(i)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(i),null!=this.muted_glyph&&this.muted_glyph.set_visuals(i);var r=this.plot_model.lod_factor;this.decimated=[];for(var o=0,s=Math.floor(this.all_indices.length/r);o0?b[\"1d\"].indices:_.map(Object.keys(b[\"2d\"].indices),function(t){return parseInt(t)})),x=_.filter(c,function(e){return 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0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length},e.prototype.update_through_union=function(t){this.indices=s.union(t.indices,this.indices),this.selected_glyphs=s.union(t.selected_glyphs,this.selected_glyphs),this.line_indices=s.union(t.line_indices,this.line_indices),this.get_view()||(this.get_view=t.get_view),this.multiline_indices=a.merge(t.multiline_indices,this.multiline_indices)},e.prototype.update_through_intersection=function(t){this.indices=s.intersection(t.indices,this.indices),this.selected_glyphs=s.union(t.selected_glyphs,this.selected_glyphs),this.line_indices=s.union(t.line_indices,this.line_indices),this.get_view()||(this.get_view=t.get_view),this.multiline_indices=a.merge(t.multiline_indices,this.multiline_indices)},e.__name__=\"Selection\",e}(r.Model);n.Selection=l,l.initClass()},function(t,e,n){var i=t(426),r=t(217),o=t(17),s=t(18),a=function(t){function e(e){var n=t.call(this,e)||this;return n.initialized=!1,n}return 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n in e){var i=e[n];t.setRequestHeader(n,i)}return t},e.prototype.do_load=function(t,e,n){if(200===t.status){var i=JSON.parse(t.responseText);this.load_data(i,e,n)}},e.prototype.do_error=function(t){o.logger.error(\"Failed to fetch JSON from \"+this.data_url+\" with code \"+t.status)},e.__name__=\"AjaxDataSource\",e}(r.RemoteDataSource);n.AjaxDataSource=a,a.initClass()},function(t,e,n){var i=t(426),r=t(62),o=t(18),s=t(209),a=t(24),l=t(213),c=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.define({filters:[o.Array,[]],source:[o.Instance]}),this.internal({indices:[o.Array,[]],indices_map:[o.Any,{}]})},e.prototype.initialize=function(){t.prototype.initialize.call(this),this.compute_indices()},e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.properties.filters.change,function(){e.compute_indices(),e.change.emit()});var n=function(){var t=function(){return e.compute_indices()};null!=e.source&&(e.connect(e.source.change,t),e.source instanceof l.ColumnarDataSource&&(e.connect(e.source.streaming,t),e.connect(e.source.patching,t)))},i=null!=this.source;i?n():this.connect(this.properties.source.change,function(){i||(n(),i=!0)})},e.prototype.compute_indices=function(){var t=this,e=this.filters.map(function(e){return e.compute_indices(t.source)}).filter(function(t){return null!=t});e.length>0?this.indices=a.intersection.apply(this,e):this.source instanceof l.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()},e.prototype.indices_map_to_subset=function(){this.indices_map={};for(var t=0;tn?i.slice(-n):i}if(c.isTypedArray(t)){var r=t.length+e.length;if(null!=n&&r>n){var o=r-n,s=t.length,i=void 0;t.length1&&o.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");for(var d=t.coordinates[0],u=0;u1&&o.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior 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Date(t)),i=o.last_year_no_later_than(new Date(e));i.setUTCFullYear(i.getUTCFullYear()+1);for(var r=[],s=n;r.push(o.copy_date(s)),s.setUTCFullYear(s.getUTCFullYear()+1),!(s>i););return r}(t,e),s=this.months,l=a.concat(r.map(function(t){return s.map(function(e){var n=o.copy_date(t);return n.setUTCMonth(e),n})})),c=l.map(function(t){return t.getTime()}),h=c.filter(function(n){return t<=n&&n<=e});return{major:h,minor:[]}},e.__name__=\"MonthsTicker\",e}(r.SingleIntervalTicker);n.MonthsTicker=l,l.initClass()},function(t,e,n){var i=t(426),r=t(228),o=t(18),s=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.define({interval:[o.Number]})},e.prototype.get_interval=function(t,e,n){return this.interval},Object.defineProperty(e.prototype,\"min_interval\",{get:function(){return this.interval},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"max_interval\",{get:function(){return this.interval},enumerable:!0,configurable:!0}),e.__name__=\"SingleIntervalTicker\",e}(r.ContinuousTicker);n.SingleIntervalTicker=s,s.initClass()},function(t,e,n){var i=t(426),r=t(62),o=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.__name__=\"Ticker\",e}(r.Model);n.Ticker=o},function(t,e,n){function i(t){return new Date(t.getTime())}function r(t){var e=i(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=i,n.last_month_no_later_than=r,n.last_year_no_later_than=function(t){var e=r(t);return e.setUTCMonth(0),e}},function(t,e,n){var i=t(426),r=t(225),o=t(236),s=t(238),a=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.prototype.initialize=function(){t.prototype.initialize.call(this),this.interval=s.ONE_YEAR,this.basic_ticker=new r.BasicTicker({num_minor_ticks:0})},e.prototype.get_ticks_no_defaults=function(t,e,n,i){var r=s.last_year_no_later_than(new Date(t)).getUTCFullYear(),o=s.last_year_no_later_than(new Date(e)).getUTCFullYear(),a=this.basic_ticker.get_ticks_no_defaults(r,o,n,i).major,l=a.map(function(t){return Date.UTC(t,0,1)}),c=l.filter(function(n){return t<=n&&n<=e});return{major:c,minor:[]}},e.__name__=\"YearsTicker\",e}(o.SingleIntervalTicker);n.YearsTicker=a},function(t,e,n){var i=t(426),r=t(243),o=t(18),s=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.define({use_latlon:[o.Boolean,!1]})},e.prototype.get_image_url=function(t,e,n){var i,r,o,s,a,l,c=this.string_lookup_replace(this.url,this.extra_url_vars);return this.use_latlon?(i=this.get_tile_geographic_bounds(t,e,n),s=i[0],l=i[1],o=i[2],a=i[3]):(r=this.get_tile_meter_bounds(t,e,n),s=r[0],l=r[1],o=r[2],a=r[3]),c.replace(\"{XMIN}\",s.toString()).replace(\"{YMIN}\",l.toString()).replace(\"{XMAX}\",o.toString()).replace(\"{YMAX}\",a.toString())},e.__name__=\"BBoxTileSource\",e}(r.MercatorTileSource);n.BBoxTileSource=s,s.initClass()},function(t,e,n){var i=t(46),r=function(){function t(){this.images=[]}return t.prototype.pop=function(){var t=this.images.pop();return null!=t?t:new Image},t.prototype.push=function(t){var e;this.images.length>50||(i.isArray(t)?(e=this.images).push.apply(e,t):this.images.push(t))},t.__name__=\"ImagePool\",t}();n.ImagePool=r},function(t,e,n){var i=t(240);n.BBoxTileSource=i.BBoxTileSource;var r=t(243);n.MercatorTileSource=r.MercatorTileSource;var o=t(244);n.QUADKEYTileSource=o.QUADKEYTileSource;var s=t(245);n.TileRenderer=s.TileRenderer;var a=t(246);n.TileSource=a.TileSource;var l=t(248);n.TMSTileSource=l.TMSTileSource;var c=t(249);n.WMTSTileSource=c.WMTSTileSource},function(t,e,n){var i=t(426),r=t(246),o=t(18),s=t(24),a=t(247),l=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.define({snap_to_zoom:[o.Boolean,!1],wrap_around:[o.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})},e.prototype.initialize=function(){var e=this;t.prototype.initialize.call(this),this._resolutions=s.range(this.min_zoom,this.max_zoom+1).map(function(t){return e.get_resolution(t)})},e.prototype._computed_initial_resolution=function(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size},e.prototype.is_valid_tile=function(t,e,n){return!(!this.wrap_around&&(t<0||t>=Math.pow(2,n))||e<0||e>=Math.pow(2,n))},e.prototype.parent_by_tile_xyz=function(t,e,n){var i=this.tile_xyz_to_quadkey(t,e,n),r=i.substring(0,i.length-1);return this.quadkey_to_tile_xyz(r)},e.prototype.get_resolution=function(t){return this._computed_initial_resolution()/Math.pow(2,t)},e.prototype.get_resolution_by_extent=function(t,e,n){var i=(t[2]-t[0])/n,r=(t[3]-t[1])/e;return[i,r]},e.prototype.get_level_by_extent=function(t,e,n){for(var i=(t[2]-t[0])/n,r=(t[3]-t[1])/e,o=Math.max(i,r),s=0,a=0,l=this._resolutions;ac){if(0==s)return 0;if(s>0)return s-1}s+=1}return s-1},e.prototype.get_closest_level_by_extent=function(t,e,n){var i=(t[2]-t[0])/n,r=(t[3]-t[1])/e,o=Math.max(i,r),s=this._resolutions.reduce(function(t,e){return Math.abs(e-o)_?(c=s-r,h*=u):(c*=_,h=a-o)}var d=(c-(s-r))/2,p=(h-(a-o))/2;return[r-d,o-p,s+d,a+p]},e.prototype.tms_to_wmts=function(t,e,n){return[t,Math.pow(2,n)-1-e,n]},e.prototype.wmts_to_tms=function(t,e,n){return[t,Math.pow(2,n)-1-e,n]},e.prototype.pixels_to_meters=function(t,e,n){var i=this.get_resolution(n),r=t*i-this.x_origin_offset,o=e*i-this.y_origin_offset;return[r,o]},e.prototype.meters_to_pixels=function(t,e,n){var i=this.get_resolution(n),r=(t+this.x_origin_offset)/i,o=(e+this.y_origin_offset)/i;return[r,o]},e.prototype.pixels_to_tile=function(t,e){var n=Math.ceil(t/this.tile_size);n=0===n?n:n-1;var i=Math.max(Math.ceil(e/this.tile_size)-1,0);return[n,i]},e.prototype.pixels_to_raster=function(t,e,n){var i=this.tile_size<=c;p--)for(var f=l;f<=u;f++)this.is_valid_tile(f,p,e)&&d.push([f,p,e,this.get_tile_meter_bounds(f,p,e)]);return this.sort_tiles_from_center(d,[l,c,u,_]),d},e.prototype.quadkey_to_tile_xyz=function(t){for(var e=0,n=0,i=t.length,r=i;r>0;r--){var o=t.charAt(i-r),s=1<0;r--){var o=1<0;)if(a=a.substring(0,a.length-1),r=this.quadkey_to_tile_xyz(a),t=r[0],e=r[1],n=r[2],o=this.denormalize_xyz(t,e,n,s),t=o[0],e=o[1],n=o[2],this.tile_xyz_to_key(t,e,n)in this.tiles)return[t,e,n];return[0,0,0]},e.prototype.normalize_xyz=function(t,e,n){if(this.wrap_around){var i=Math.pow(2,n);return[(t%i+i)%i,e,n]}return[t,e,n]},e.prototype.denormalize_xyz=function(t,e,n,i){return[t+i*Math.pow(2,n),e,n]},e.prototype.denormalize_meters=function(t,e,n,i){return[t+2*i*Math.PI*6378137,e]},e.prototype.calculate_world_x_by_tile_xyz=function(t,e,n){return Math.floor(t/Math.pow(2,n))},e.__name__=\"MercatorTileSource\",e}(r.TileSource);n.MercatorTileSource=l,l.initClass()},function(t,e,n){var i=t(426),r=t(243),o=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.prototype.get_image_url=function(t,e,n){var i=this.string_lookup_replace(this.url,this.extra_url_vars),r=this.tms_to_wmts(t,e,n),o=r[0],s=r[1],a=r[2],l=this.tile_xyz_to_quadkey(o,s,a);return i.replace(\"{Q}\",l)},e.__name__=\"QUADKEYTileSource\",e}(r.MercatorTileSource);n.QUADKEYTileSource=o},function(t,e,n){var i=t(426),r=t(241),o=t(249),s=t(196),a=t(195),l=t(5),c=t(18),h=t(24),u=t(46),_=t(20),d=t(212),p=t(313),f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype.initialize=function(){this._tiles=[],t.prototype.initialize.call(this)},e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.model.change,function(){return e.request_render()}),this.connect(this.model.tile_source.change,function(){return e.request_render()})},e.prototype.get_extent=function(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]},Object.defineProperty(e.prototype,\"map_plot\",{get:function(){return this.plot_model},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"map_canvas\",{get:function(){return this.plot_view.canvas_view.ctx},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"map_frame\",{get:function(){return this.plot_view.frame},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"x_range\",{get:function(){return this.map_plot.x_range},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"y_range\",{get:function(){return this.map_plot.y_range},enumerable:!0,configurable:!0}),e.prototype._set_data=function(){this.pool=new r.ImagePool,this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0},e.prototype._update_attribution=function(){null!=this.attribution_el&&l.removeElement(this.attribution_el);var t=this.model.tile_source.attribution;if(u.isString(t)&&t.length>0){var e=this.plot_view,n=e.layout,i=e.frame,r=n._width.value-i._right.value,o=n._height.value-i._bottom.value,s=i._width.value;this.attribution_el=l.div({class:p.bk_tile_attribution,style:{position:\"absolute\",right:r+\"px\",bottom:o+\"px\",\"max-width\":s-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"7pt\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}});var a=this.plot_view.canvas_view.events_el;a.appendChild(this.attribution_el),this.attribution_el.innerHTML=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}},e.prototype._map_data=function(){this.initial_extent=this.get_extent();var t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof a.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof a.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()},e.prototype._on_tile_load=function(t,e){t.img=e.target,t.loaded=!0,this.request_render()},e.prototype._on_tile_cache_load=function(t,e){t.img=e.target,t.loaded=!0,t.finished=!0,this.notify_finished()},e.prototype._on_tile_error=function(t){t.finished=!0},e.prototype._create_tile=function(t,e,n,i,r){void 0===r&&(r=!1);var o=this.model.tile_source.normalize_xyz(t,e,n),s=o[0],a=o[1],l=o[2],c=this.pool.pop(),h={img:c,tile_coords:[t,e,n],normalized_coords:[s,a,l],quadkey:this.model.tile_source.tile_xyz_to_quadkey(t,e,n),cache_key:this.model.tile_source.tile_xyz_to_key(t,e,n),bounds:i,loaded:!1,finished:!1,x_coord:i[0],y_coord:i[3]};c.onload=r?this._on_tile_cache_load.bind(this,h):this._on_tile_load.bind(this,h),c.onerror=this._on_tile_error.bind(this,h),c.alt=\"\",c.src=this.model.tile_source.get_image_url(s,a,l),this.model.tile_source.tiles[h.cache_key]=h,this._tiles.push(h)},e.prototype._enforce_aspect_ratio=function(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){var t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame._height.value,this.map_frame._width.value),n=this.model.tile_source.snap_to_zoom_level(t,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.setv({start:n[0],end:n[2]}),this.y_range.setv({start:n[1],end:n[3]}),this.extent=n,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}},e.prototype.has_finished=function(){if(!t.prototype.has_finished.call(this))return!1;if(0===this._tiles.length)return!1;for(var e=0,n=this._tiles;ei&&(r=this.extent,l=i,c=!0),c&&(this.x_range.setv({x_range:{start:r[0],end:r[2]}}),this.y_range.setv({start:r[1],end:r[3]}),this.extent=r),this.extent=r;for(var u=e.get_tiles_by_extent(r,l),_=[],d=[],p=[],f=[],m=0,v=u;m=a?[1,p/a]:[a/p,1])[0];return t[0]<=e[0]?(i=t[0],(r=t[0]+_*f)>l&&(r=l)):(r=t[0],(i=t[0]-_*f)h&&(o=h)):(o=t[1],(s=t[1]-_/a)r.end)&&(this.v_axis_only=!0),(no.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)},e.prototype._pan=function(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)},e.prototype._pan_end=function(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})},e.prototype._update=function(t,e){var n,i,r,o,s,a,l=this.plot_view.frame,c=t-this.last_dx,h=e-this.last_dy,u=l.bbox.h_range,_=u.start-c,d=u.end-c,p=l.bbox.v_range,f=p.start-h,m=p.end-h,v=this.model.dimensions;\"width\"!=v&&\"both\"!=v||this.v_axis_only?(n=u.start,i=u.end,r=0):(n=_,i=d,r=-c),\"height\"!=v&&\"both\"!=v||this.h_axis_only?(o=p.start,s=p.end,a=0):(o=f,s=m,a=-h),this.last_dx=t,this.last_dy=e;var g=l.xscales,y=l.yscales,b={};for(var w in g){var x=g[w],A=x.r_invert(n,i),k=A[0],C=A[1];b[w]={start:k,end:C}}var T={};for(var S in y){var x=y[S],M=x.r_invert(o,s),k=M[0],C=M[1];T[S]={start:k,end:C}}this.pan_info={xrs:b,yrs:T,sdx:r,sdy:a},this.plot_view.update_range(this.pan_info,!0)},e.__name__=\"PanToolView\",e}(r.GestureToolView);n.PanToolView=a;var l=function(t){function e(e){var n=t.call(this,e)||this;return n.tool_name=\"Pan\",n.event_type=\"pan\",n.default_order=10,n}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=a,this.define({dimensions:[o.Dimensions,\"both\"]})},Object.defineProperty(e.prototype,\"tooltip\",{get:function(){return this._get_dim_tooltip(\"Pan\",this.dimensions)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"icon\",{get:function(){switch(this.dimensions){case\"both\":return s.bk_tool_icon_pan;case\"width\":return s.bk_tool_icon_xpan;case\"height\":return s.bk_tool_icon_ypan}},enumerable:!0,configurable:!0}),e.__name__=\"PanTool\",e}(r.GestureTool);n.PanTool=l,l.initClass()},function(t,e,n){var i=t(426),r=t(274),o=t(74),s=t(5),a=t(18),l=t(24),c=t(306),h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype.initialize=function(){t.prototype.initialize.call(this),this.data={sx:[],sy:[]}},e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.model.properties.active.change,function(){return e._active_change()})},e.prototype._active_change=function(){this.model.active||this._clear_data()},e.prototype._keyup=function(t){t.keyCode==s.Keys.Enter&&this._clear_data()},e.prototype._doubletap=function(t){var e=t.shiftKey;this._do_select(this.data.sx,this.data.sy,!0,e),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()},e.prototype._clear_data=function(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})},e.prototype._tap=function(t){var e=t.sx,n=t.sy,i=this.plot_view.frame;i.bbox.contains(e,n)&&(this.data.sx.push(e),this.data.sy.push(n),this.model.overlay.update({xs:l.copy(this.data.sx),ys:l.copy(this.data.sy)}))},e.prototype._do_select=function(t,e,n,i){var r={type:\"poly\",sx:t,sy:e};this._select(r,n,i)},e.prototype._emit_callback=function(t){var e=this.computed_renderers[0],n=this.plot_view.frame,r=n.xscales[e.x_range_name],o=n.yscales[e.y_range_name],s=r.v_invert(t.sx),a=o.v_invert(t.sy),l=i.__assign({x:s,y:a},t);null!=this.model.callback&&this.model.callback.execute(this.model,{geometry:l})},e.__name__=\"PolySelectToolView\",e}(r.SelectToolView);n.PolySelectToolView=h;var u=function(){return new o.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:{value:\"lightgrey\"},fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:2},line_dash:{value:[4,4]}})},_=function(t){function e(e){var n=t.call(this,e)||this;return n.tool_name=\"Poly Select\",n.icon=c.bk_tool_icon_polygon_select,n.event_type=\"tap\",n.default_order=11,n}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=h,this.define({callback:[a.Any],overlay:[a.Instance,u]})},e.__name__=\"PolySelectTool\",e}(r.SelectTool);n.PolySelectTool=_,_.initClass()},function(t,e,n){var i=t(426),r=t(67),o=t(17),s=t(18),a=t(269),l=t(306);function c(t){switch(t){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return t}}function h(t,e,n,i){if(null==e)return!1;var r=n.compute(e);return Math.abs(t-r)r.right)&&(o=!1)}if(null!=r.bottom&&null!=r.top){var a=i.invert(e);(ar.top)&&(o=!1)}return o}function _(t,e,n){var i=0;return t>=n.start&&t<=n.end&&(i+=1),e>=n.start&&e<=n.end&&(i+=1),i}function d(t,e,n,i){var r=e.compute(t),o=e.invert(r+n);return o>=i.start&&o<=i.end?o:t}function p(t,e,n){return t>e.start?(e.end=t,n):(e.end=e.start,e.start=t,c(n))}function f(t,e,n){return t=h&&(t.start=l,t.end=c)}n.flip_side=c,n.is_near=h,n.is_inside=u,n.sides_inside=_,n.compute_value=d,n.compute_end_side=p,n.compute_start_side=f,n.update_range=m;var v=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype.initialize=function(){t.prototype.initialize.call(this),this.side=0,this.model.update_overlay_from_ranges()},e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),null!=this.model.x_range&&this.connect(this.model.x_range.change,function(){return e.model.update_overlay_from_ranges()}),null!=this.model.y_range&&this.connect(this.model.y_range.change,function(){return e.model.update_overlay_from_ranges()})},e.prototype._pan_start=function(t){this.last_dx=0,this.last_dy=0;var e=this.model.x_range,n=this.model.y_range,i=this.plot_view.frame,o=i.xscales.default,s=i.yscales.default,a=this.model.overlay,l=a.left,c=a.right,_=a.top,d=a.bottom,p=this.model.overlay.properties.line_width.value()+r.EDGE_TOLERANCE;null!=e&&this.model.x_interaction&&(h(t.sx,l,o,p)?this.side=1:h(t.sx,c,o,p)?this.side=2:u(t.sx,t.sy,o,s,a)&&(this.side=3)),null!=n&&this.model.y_interaction&&(0==this.side&&h(t.sy,d,s,p)&&(this.side=4),0==this.side&&h(t.sy,_,s,p)?this.side=5:u(t.sx,t.sy,o,s,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))},e.prototype._pan=function(t){var e=this.plot_view.frame,n=t.deltaX-this.last_dx,i=t.deltaY-this.last_dy,r=this.model.x_range,o=this.model.y_range,s=e.xscales.default,a=e.yscales.default;if(null!=r)if(3==this.side||7==this.side)m(r,s,n,e.x_range);else if(1==this.side){var l=d(r.start,s,n,e.x_range);this.side=f(l,r,this.side)}else if(2==this.side){var c=d(r.end,s,n,e.x_range);this.side=p(c,r,this.side)}if(null!=o)if(6==this.side||7==this.side)m(o,a,i,e.y_range);else if(4==this.side){o.start=d(o.start,a,i,e.y_range);var l=d(o.start,a,i,e.y_range);this.side=f(l,o,this.side)}else if(5==this.side){o.end=d(o.end,a,i,e.y_range);var c=d(o.end,a,i,e.y_range);this.side=p(c,o,this.side)}this.last_dx=t.deltaX,this.last_dy=t.deltaY},e.prototype._pan_end=function(t){this.side=0},e.__name__=\"RangeToolView\",e}(a.GestureToolView);n.RangeToolView=v;var g=function(){return new r.BoxAnnotation({level:\"overlay\",render_mode:\"canvas\",fill_color:\"lightgrey\",fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:.5},line_dash:[2,2]})},y=function(t){function e(e){var n=t.call(this,e)||this;return n.tool_name=\"Range Tool\",n.icon=l.bk_tool_icon_range,n.event_type=\"pan\",n.default_order=1,n}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=v,this.define({x_range:[s.Instance,null],x_interaction:[s.Boolean,!0],y_range:[s.Instance,null],y_interaction:[s.Boolean,!0],overlay:[s.Instance,g]})},e.prototype.initialize=function(){t.prototype.initialize.call(this),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null},e.prototype.update_overlay_from_ranges=function(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,o.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)},e.__name__=\"RangeTool\",e}(a.GestureTool);n.RangeTool=y,y.initClass()},function(t,e,n){var i=t(426),r=t(269),o=t(197),s=t(198),a=t(289),l=t(18),c=t(5),h=t(3),u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),Object.defineProperty(e.prototype,\"computed_renderers\",{get:function(){var t=this.model.renderers,e=this.plot_model.renderers,n=this.model.names;return a.compute_renderers(t,e,n)},enumerable:!0,configurable:!0}),e.prototype._computed_renderers_by_data_source=function(){for(var t={},e=0,n=this.computed_renderers;e.9?e=.9:e<-.9&&(e=-.9),this._update_ranges(e)},e.prototype._update_ranges=function(t){var e,n,i,r,o=this.plot_view.frame,s=o.bbox.h_range,a=o.bbox.v_range,l=[s.start,s.end],c=l[0],h=l[1],u=[a.start,a.end],_=u[0],d=u[1];switch(this.model.dimension){case\"height\":var p=Math.abs(d-_);e=c,n=h,i=_-p*t,r=d-p*t;break;case\"width\":var f=Math.abs(h-c);e=c-f*t,n=h-f*t,i=_,r=d;break;default:throw new Error(\"this shouldn't have happened\")}var m=o.xscales,v=o.yscales,g={};for(var y in m){var b=m[y],w=b.r_invert(e,n),x=w[0],A=w[1];g[y]={start:x,end:A}}var k={};for(var C in v){var b=v[C],T=b.r_invert(i,r),x=T[0],A=T[1];k[C]={start:x,end:A}}var S={xrs:g,yrs:k,factor:t};this.plot_view.push_state(\"wheel_pan\",{range:S}),this.plot_view.update_range(S,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)},e.__name__=\"WheelPanToolView\",e}(r.GestureToolView);n.WheelPanToolView=a;var l=function(t){function e(e){var n=t.call(this,e)||this;return n.tool_name=\"Wheel Pan\",n.icon=s.bk_tool_icon_wheel_pan,n.event_type=\"scroll\",n.default_order=12,n}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=a,this.define({dimension:[o.Dimension,\"width\"]}),this.internal({speed:[o.Number,.001]})},Object.defineProperty(e.prototype,\"tooltip\",{get:function(){return this._get_dim_tooltip(this.tool_name,this.dimension)},enumerable:!0,configurable:!0}),e.__name__=\"WheelPanTool\",e}(r.GestureTool);n.WheelPanTool=l,l.initClass()},function(t,e,n){var i=t(426),r=t(269),o=t(48),s=t(18),a=t(31),l=t(306),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype._pinch=function(t){var e,n=t.sx,i=t.sy,r=t.scale;e=r>=1?20*(r-1):-20/r,this._scroll({type:\"wheel\",sx:n,sy:i,delta:e})},e.prototype._scroll=function(t){var e=this.plot_view.frame,n=e.bbox.h_range,i=e.bbox.v_range,r=t.sx,s=t.sy,a=this.model.dimensions,l=(\"width\"==a||\"both\"==a)&&n.start=0){var v=_.match(/\\$color(\\[.*\\])?:(\\w*)/),y=v[1],b=void 0===y?\"\":y,w=v[2],x=t.get_column(w);if(null==x){var A=u.span({},w+\" unknown\");m.appendChild(A);continue}var k=b.indexOf(\"hex\")>=0,C=b.indexOf(\"swatch\")>=0,T=f.isNumber(e)?x[e]:null;if(null==T){var S=u.span({},\"(null)\");m.appendChild(S);continue}k&&(T=d.color2hex(T));var r=u.span({},T);m.appendChild(r),C&&(r=u.span({class:g.bk_tooltip_color_block,style:{backgroundColor:T}},\" \"),m.appendChild(r))}else{var r=u.span();r.innerHTML=h.replace_placeholders(_.replace(\"$~\",\"$data_\"),t,e,this.model.formatters,n),m.appendChild(r)}}return o},e.__name__=\"HoverToolView\",e}(r.InspectToolView);n.HoverToolView=w;var x=function(t){function e(e){var n=t.call(this,e)||this;return n.tool_name=\"Hover\",n.icon=v.bk_tool_icon_hover,n}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=w,this.define({tooltips:[_.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[_.Any,{}],renderers:[_.Any,\"auto\"],names:[_.Array,[]],mode:[_.HoverMode,\"mouse\"],point_policy:[_.PointPolicy,\"snap_to_data\"],line_policy:[_.LinePolicy,\"nearest\"],show_arrow:[_.Boolean,!0],anchor:[_.Anchor,\"center\"],attachment:[_.TooltipAttachment,\"horizontal\"],callback:[_.Any]})},e.__name__=\"HoverTool\",e}(r.InspectTool);n.HoverTool=x,x.initClass()},function(t,e,n){var i=t(426),r=t(259),o=t(283),s=t(18),a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.__name__=\"InspectToolView\",e}(r.ButtonToolView);n.InspectToolView=a;var l=function(t){function e(e){var n=t.call(this,e)||this;return n.event_type=\"move\",n}return i.__extends(e,t),e.initClass=function(){this.prototype.button_view=o.OnOffButtonView,this.define({toggleable:[s.Boolean,!0]}),this.override({active:!0})},e.__name__=\"InspectTool\",e}(r.ButtonTool);n.InspectTool=l,l.initClass()},function(t,e,n){var 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#ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n background-color: #f5f5f5;\\n border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n background-color: #ebebeb;\\n border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n background-color: #e6e6e6;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n color: #fff;\\n background-color: #428bca;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n background-color: #3681c1;\\n border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n background-color: #3276b1;\\n border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n background-color: #506f89;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n color: #fff;\\n background-color: #5cb85c;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n background-color: #4eb24e;\\n border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n background-color: #47a447;\\n border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n background-color: #667b66;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n color: #fff;\\n background-color: #f0ad4e;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n background-color: #eea43b;\\n border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n background-color: #ed9c28;\\n border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n background-color: #c89143;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n color: #fff;\\n background-color: #d9534f;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n background-color: #d5433e;\\n border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n background-color: #d2322d;\\n border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n background-color: #a55350;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n height: 100%;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n border-bottom-right-radius: 0;\\n border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n border-bottom-left-radius: 0;\\n border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n flex: 0 0 0;\\n -webkit-flex: 0 0 0;\\n padding: 6px 6px;\\n}\\n\"),n.bk_btn=\"bk-btn\",n.bk_btn_group=\"bk-btn-group\",n.bk_btn_default=\"bk-btn-default\",n.bk_btn_primary=\"bk-btn-primary\",n.bk_btn_success=\"bk-btn-success\",n.bk_btn_warning=\"bk-btn-warning\",n.bk_btn_danger=\"bk-btn-danger\",n.bk_btn_type=function(t){switch(t){case\"default\":return n.bk_btn_default;case\"primary\":return n.bk_btn_primary;case\"success\":return n.bk_btn_success;case\"warning\":return n.bk_btn_warning;case\"danger\":return n.bk_btn_danger}},n.bk_dropdown_toggle=\"bk-dropdown-toggle\"},function(t,e,n){t(311),n.bk_canvas=\"bk-canvas\",n.bk_canvas_map=\"bk-canvas-map\",n.bk_canvas_overlays=\"bk-canvas-overlays\",n.bk_canvas_events=\"bk-canvas-events\"},function(t,e,n){t(311);var i=t(5);i.styles.append('.bk-root .bk-tool-icon-box-select {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg0kduFrowAAAIdJREFUWMPtVtEKwCAI9KL//4e9DPZ3+wP3KgOjNZouFYI4C8q7s7DtB1lGIeMoRMRinCLXg/ML3EcFqpjjloOyZxRntxpwQ8HsgHYARKFAtSFrCg3TCdMFCE1BuuALEXJLjC4qENsFVXCESZw38/kWLOkC/K4PcOc/Hj03WkoDT3EaWW9egQul6CUbq90JTwAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-box-zoom {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-in {\\n background-image: 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.bk-tool-icon-hover {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4oVHp0SwAAAQJJREFUWMPtlsENgzAMRb8RQ5VJItFDOgaZAMaAA0iZpN3KPZSoEEHSQBCViI/G8pfNt/KAFFcPshPdoAGgZkYVVYjQAFCyFLN8tlAbXRwAxp61nc9XCkGERpZCxRDvBl0zoxp7K98GAACxxH29srNNmPsK2l7zHoHHXZDr+/9vwDfB3kgeSB5IHkgeOH0DmesJjSXi6pUvkYt5u9teVy6aWREDM0D0BRvmGRV5N6DsQkMzI64FidtI5t3AOKWaFhuioY8dlYf9TO1PREUh/9HVeAqzIThHgWZ6MuNmC1jiL1mK4pAzlKUojEmNsxcmL0J60tazWjLZFpClPbd9BMJfL95145YajN5RHQAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-crosshair {\\n background-image: 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url(\"data:image/png;base64,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\");\\n}\\n.bk-root 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url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-poly-edit {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gELFi46qJmxxAAABV9JREFUWMOdl19vFFUYxn9n9u9sCyylUIzWUoMQBAWCMdEEIt6xIRQSLIEKtvHe6AcA4yeQb7CAUNJy0daLeomJN8SEULAC2kBBapBKoLvbmdl/c14vdmY7u91tF95kknPOnHmf95znPc97Ro2OTeBbdjFDT3c32ZxVHUOE9kSMB0/m6ExuoJn1H+ur6Y+OTfD50SMN5168OgrAlyf7CfuD+z7+iDs3p8hkLUQ0iFQ/yFl5Nm/qonfHVva+s32Zw9GxCYILsZ08tpNfBhbs+1YN4OH9+7huGdECSBVfqUosbsllfmauBqiR+cCNwOr7AEo8pPHJnymXykhg5fUWjoQpl0vVvhZhbSzGoUOHqgBlt6B6uruj2Zy1E9jo0fhfeyL2x4Mnc8VErK0KUEOB64JSyptfG4RSytsJjUJVxw2lsFy3urL9nx1Qd25ObctkrVMi+jQivd7U2ZyV/3Hzpq7h3h1b/7p9Y0o8v8rwAbTWrGpSocN/FGDlbAI0Rl23PCBan0Ok158H9Ipwzi25A/Mzc9Gl/BYx/E4kYqC1NKRARNAaDCNUM27Z+Zr+ouXs0q4+LSLBHPYCFkTkC6uU39kwCdsS7WRKmaYUiAhdnZ3MPX2K4+QjQI+C94A93rMzm8ltMwyDeDzWjMZeEb2pYQDdW3vITU2jtUZ5QThOPgm8C7wP7J15OPsBsB3oWpGnVWisCeDS1VHj4vBI92+/3tgB7Ab2AruAXiDBK5oIOkhtkEYRNRuJhObrd8Dl9ewf4D5wG7hVLpen29vb5wzD+BrkbBMaL3d1dk5nsrnlFDTTFWAWmAZueWD3gCemGde2k2fw1Al1YXhEvjozoO49eczdqekrWmsc2zlrmvEKOGoW1GUjFLqSk2KpJrCLwyMCPAP+BO54QL8DM6YZX/ClsP9YnwKkXnIBP4jdIpJRpdJTCYdMwwi98KU0Hjc/dDILNyUcwTCWdOSMJ0TRmBktGRhLugu0xyLk7CIqVNm+0bGJptl1YXikD0grpY4Rjc4a8Fbgdab/6OGbAJeCUuyJnnHmZH9pbSyGuBXV8NUwlUpR1EWyixmSyTWEwqGlJ2Swbo2JXbAAfgDGgGQA9I1A9t1tlq0AxrXxn0ilUpw4fhQqYkH/sT41OTnJJwf2s6FjI5mshdYa7bqVR2uezr9MJmJt14FvGrh/O9D+e6UkM/xyCuCqEKCYnJyUTKFQrZDHjxzGshwWLQcRsOz8Hi85P23id0ug/XilAMLBmm4tPGdoaKjSH5+oAGrhwvBI9SjZTn4QSK9yenoD7dlrExPoJlXW8G8ytpNHxRKk02lGxsdRKFwXLNvx5yY94HQLGhGk4LFCYQSqaE0AwWM1eOoEbR0dKBSW7bC4mKuffxs4D/wCLKwQQPAUzIkslfp6cVomROWSolh0GjldAM4nzDi2k9/i5UAzC9aKfwNJ3zgJg9YEvN6+C7SHgKm69+sD7RfNnKTTaZRPQfAut4oFV//IS7gkcB34VlVo8kGzphlfB+DU+TfNGBpZtRastvrvARJmfMF28ge9sc2B9/PNnCilMIDwK6y8/ow/Ai4kvILTljAXvDvEvrqKSUs60KolzPjBxspavQD2tKqCAGF/Ba+xE/Wbilu54wZV8NEKF5fXzQHl/bh4hUsE0WAXSlDMYcQSrQXgCmsTseXHsJkNnjqBFGwKJaHsKlxtUHYVhbLCzr1kaOA4bcn1y1Swmb+iLpJKpVrfgdpfsiVVCYcgluwgnU7jEgJ4s5UkLFtWYyHyEg0/N1q1tmQH+YXnAMFr97Nmv3p+0QsHQRsF8qpBOE5+rb9Nkaj50tVQKjqh4OU3GNL/1/So3vuUgbAAAAAASUVORK5CYII=\");\\n}\\n'),n.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",n.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",n.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",n.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",n.bk_tool_icon_help=\"bk-tool-icon-help\",n.bk_tool_icon_hover=\"bk-tool-icon-hover\",n.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",n.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",n.bk_tool_icon_pan=\"bk-tool-icon-pan\",n.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",n.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",n.bk_tool_icon_range=\"bk-tool-icon-range\",n.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",n.bk_tool_icon_redo=\"bk-tool-icon-redo\",n.bk_tool_icon_reset=\"bk-tool-icon-reset\",n.bk_tool_icon_save=\"bk-tool-icon-save\",n.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",n.bk_tool_icon_undo=\"bk-tool-icon-undo\",n.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",n.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",n.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",n.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",n.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",n.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",n.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\"},function(t,e,n){t(311);var i=t(5);i.styles.append(\".bk-root .bk-logo {\\n margin: 5px;\\n position: relative;\\n display: block;\\n background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n filter: url(\\\"data:image/svg+xml;utf8,#grayscale\\\");\\n /* Firefox 10+, Firefox on Android */\\n filter: gray;\\n /* IE6-9 */\\n -webkit-filter: grayscale(100%);\\n /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n width: 20px;\\n height: 20px;\\n background-image: url(data:image/png;base64,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);\\n}\\n.bk-root .bk-logo-notebook {\\n display: inline-block;\\n vertical-align: middle;\\n margin-right: 5px;\\n}\\n\"),n.bk_logo=\"bk-logo\",n.bk_logo_notebook=\"bk-logo-notebook\",n.bk_logo_small=\"bk-logo-small\",n.bk_grey=\"bk-grey\"},function(t,e,n){t(311);var i=t(5);i.styles.append(\".bk-root .bk-menu {\\n position: absolute;\\n left: 0;\\n width: 100%;\\n z-index: 100;\\n cursor: pointer;\\n font-size: 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n height: 1px;\\n margin: 7.5px 0;\\n overflow: hidden;\\n background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n display: 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i=2*Math.PI,r=t(402);e.exports=function(t){return Math.abs(t)<=3.14159265359?t:t-r(t)*i}},function(t,e,n){e.exports=function(t,e,n){var i=t*e;return n/Math.sqrt(1-i*i)}},function(t,e,n){var i=Math.PI/2;e.exports=function(t,e){for(var n,r,o=.5*t,s=i-2*Math.atan(e),a=0;a<=15;a++)if(n=t*Math.sin(s),r=i-2*Math.atan(e*Math.pow((1-n)/(1+n),o))-s,s+=r,Math.abs(r)<=1e-10)return s;return-9999}},function(t,e,n){e.exports=function(t){return t<0?-1:1}},function(t,e,n){e.exports=function(t){var e={x:t[0],y:t[1]};return t.length>2&&(e.z=t[2]),t.length>3&&(e.m=t[3]),e}},function(t,e,n){var i=Math.PI/2;e.exports=function(t,e,n){var r=t*n,o=.5*t;return 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r.MenuItemClick(n)),this.model.value=n,null!=this.model.callback&&this.model.callback.execute(this.model)):(n.execute(this.model,{index:t}),null!=this.model.callback&&this.model.callback.execute(this.model))}},e.__name__=\"DropdownView\",e}(o.AbstractButtonView);n.DropdownView=p;var h=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.prototype.default_view=p,this.define({split:[s.Boolean,!1],menu:[s.Array,[]],value:[s.String],default_value:[s.String]}),this.override({label:\"Dropdown\"})},Object.defineProperty(e.prototype,\"is_split\",{get:function(){return this.split||null!=this.default_value},enumerable:!0,configurable:!0}),e.__name__=\"Dropdown\",e}(o.AbstractButton);n.Dropdown=h,h.initClass()},451:function(t,e,n){var i=t(426),o=t(18),r=t(487),a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.model.change,function(){return e.render()}),this.connect(this.model.properties.width.change,function(){return e.render()})},e.prototype.render=function(){var t=this;this.dialogEl||(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=!1,null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.onchange=function(e){return t.load_file(e)},this.el.appendChild(this.dialogEl))},e.prototype.load_file=function(t){var e=this,n=new FileReader;this.model.filename=t.target.files[0].name,n.onload=function(t){return e.file(t)},n.readAsDataURL(t.target.files[0])},e.prototype.file=function(t){var e=t.target.result,n=e.split(\",\"),i=n[1],o=n[0].split(\":\")[1].split(\";\")[0];this.model.value=i,this.model.mime_type=o},e.__name__=\"FileInputView\",e}(r.WidgetView);n.FileInputView=a;var s=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.prototype.type=\"FileInput\",this.prototype.default_view=a,this.define({value:[o.String,\"\"],mime_type:[o.String,\"\"],filename:[o.String,\"\"],accept:[o.String,\"\"]})},e.__name__=\"FileInput\",e}(r.Widget);n.FileInput=s,s.initClass()},452:function(t,e,n){var i=t(436);n.AbstractButton=i.AbstractButton;var o=t(437);n.AbstractIcon=o.AbstractIcon;var r=t(439);n.AutocompleteInput=r.AutocompleteInput;var a=t(440);n.Button=a.Button;var s=t(442);n.CheckboxButtonGroup=s.CheckboxButtonGroup;var l=t(443);n.CheckboxGroup=l.CheckboxGroup;var u=t(444);n.ColorPicker=u.ColorPicker;var c=t(446);n.DatePicker=c.DatePicker;var d=t(447);n.DateRangeSlider=d.DateRangeSlider;var p=t(448);n.DateSlider=p.DateSlider;var h=t(449);n.Div=h.Div;var f=t(450);n.Dropdown=f.Dropdown;var _=t(451);n.FileInput=_.FileInput;var m=t(454);n.InputWidget=m.InputWidget;var b=t(456);n.Markup=b.Markup;var g=t(457);n.MultiSelect=g.MultiSelect;var v=t(458);n.Paragraph=v.Paragraph;var k=t(459);n.PasswordInput=k.PasswordInput;var y=t(460);n.PreText=y.PreText;var w=t(461);n.RadioButtonGroup=w.RadioButtonGroup;var x=t(462);n.RadioGroup=x.RadioGroup;var S=t(463);n.RangeSlider=S.RangeSlider;var C=t(464);n.Select=C.Select;var D=t(465);n.Slider=D.Slider;var A=t(466);n.Spinner=A.Spinner;var E=t(467);n.TextInput=E.TextInput;var U=t(468);n.TextAreaInput=U.TextAreaInput;var V=t(469);n.Toggle=V.Toggle;var M=t(487);n.Widget=M.Widget},453:function(t,e,n){var i=t(426),o=t(445),r=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.model.change,function(){return e.render()})},e.__name__=\"InputGroupView\",e}(o.ControlView);n.InputGroupView=r;var a=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.__name__=\"InputGroup\",e}(o.Control);n.InputGroup=a},454:function(t,e,n){var i=t(426),o=t(445),r=t(5),a=t(18),s=t(472),l=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.model.properties.title.change,function(){e.label_el.textContent=e.model.title})},e.prototype.render=function(){t.prototype.render.call(this);var e=this.model.title;this.label_el=r.label({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=r.div({class:s.bk_input_group},this.label_el),this.el.appendChild(this.group_el)},e.prototype.change_input=function(){null!=this.model.callback&&this.model.callback.execute(this.model)},e.__name__=\"InputWidgetView\",e}(o.ControlView);n.InputWidgetView=l;var u=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.define({title:[a.String,\"\"],callback:[a.Any]})},e.__name__=\"InputWidget\",e}(o.Control);n.InputWidget=u,u.initClass()},455:function(t,e,n){var i=t(452);n.Widgets=i;var o=t(0);o.register_models(i)},456:function(t,e,n){var i=t(426),o=t(13),r=t(5),a=t(18),s=t(487),l=t(471),u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.model.change,function(){e.render(),e.root.compute_layout()})},e.prototype._update_layout=function(){this.layout=new o.VariadicBox(this.el),this.layout.set_sizing(this.box_sizing())},e.prototype.render=function(){t.prototype.render.call(this);var e=i.__assign({},this.model.style,{display:\"inline-block\"});this.markup_el=r.div({class:l.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)},e.__name__=\"MarkupView\",e}(s.WidgetView);n.MarkupView=u;var c=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.initClass=function(){this.define({text:[a.String,\"\"],style:[a.Any,{}]})},e.__name__=\"Markup\",e}(s.Widget);n.Markup=c,c.initClass()},457:function(t,e,n){var i=t(426),o=t(5),r=t(46),a=t(32),s=t(18),l=t(454),u=t(472),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.model.properties.value.change,function(){return e.render_selection()}),this.connect(this.model.properties.options.change,function(){return e.render()}),this.connect(this.model.properties.name.change,function(){return e.render()}),this.connect(this.model.properties.title.change,function(){return e.render()}),this.connect(this.model.properties.size.change,function(){return e.render()}),this.connect(this.model.properties.disabled.change,function(){return e.render()})},e.prototype.render=function(){var e=this;t.prototype.render.call(this);var n=this.model.options.map(function(t){var e,n;return r.isString(t)?e=n=t:(e=t[0],n=t[1]),o.option({value:e},n)});this.select_el=o.select({multiple:!0,class:u.bk_input,name:this.model.name,disabled:this.model.disabled},n),this.select_el.addEventListener(\"change\",function(){return e.change_input()}),this.group_el.appendChild(this.select_el),this.render_selection()},e.prototype.render_selection=function(){for(var t=new a.Set(this.model.value),e=0,n=Array.from(this.el.querySelectorAll(\"option\"));e *:not(:first-child) {\\n margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n position: relative;\\n top: -2px;\\n margin-left: 3px;\\n}\\n'),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},473:function(t,e,n){t(311);var i=t(5);i.styles.append('.bk-root {\\n /* Functional styling;\\n * These styles are required for noUiSlider to function.\\n * You don\\'t need to change these rules to apply your design.\\n */\\n /* Painting and performance;\\n * Browsers can paint handles in their own layer.\\n */\\n /* Slider size and handle placement;\\n */\\n /* Styling;\\n */\\n /* Handles and cursors;\\n */\\n /* Handle stripes;\\n */\\n /* Disabled state;\\n */\\n /* Base;\\n *\\n */\\n /* Values;\\n *\\n */\\n /* Markings;\\n *\\n */\\n /* Horizontal layout;\\n *\\n */\\n /* Vertical layout;\\n *\\n */\\n}\\n.bk-root .bk-noUi-target,\\n.bk-root .bk-noUi-target * {\\n -webkit-touch-callout: none;\\n -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\\n -webkit-user-select: none;\\n -ms-touch-action: none;\\n touch-action: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n user-select: none;\\n -moz-box-sizing: border-box;\\n box-sizing: border-box;\\n}\\n.bk-root .bk-noUi-target {\\n position: relative;\\n direction: ltr;\\n}\\n.bk-root .bk-noUi-base {\\n width: 100%;\\n height: 100%;\\n position: relative;\\n z-index: 1;\\n /* Fix 401 */\\n}\\n.bk-root .bk-noUi-connect {\\n position: absolute;\\n right: 0;\\n top: 0;\\n left: 0;\\n bottom: 0;\\n}\\n.bk-root .bk-noUi-origin {\\n position: absolute;\\n height: 0;\\n width: 0;\\n}\\n.bk-root .bk-noUi-handle {\\n position: relative;\\n z-index: 1;\\n}\\n.bk-root .bk-noUi-state-tap .bk-noUi-connect,\\n.bk-root .bk-noUi-state-tap .bk-noUi-origin {\\n -webkit-transition: top 0.3s, right 0.3s, bottom 0.3s, left 0.3s;\\n transition: top 0.3s, right 0.3s, bottom 0.3s, left 0.3s;\\n}\\n.bk-root .bk-noUi-state-drag * {\\n cursor: inherit !important;\\n}\\n.bk-root .bk-noUi-base,\\n.bk-root .bk-noUi-handle {\\n -webkit-transform: translate3d(0, 0, 0);\\n transform: translate3d(0, 0, 0);\\n}\\n.bk-root .bk-noUi-horizontal {\\n height: 18px;\\n}\\n.bk-root .bk-noUi-horizontal .bk-noUi-handle {\\n width: 34px;\\n height: 28px;\\n left: -17px;\\n top: -6px;\\n}\\n.bk-root .bk-noUi-vertical {\\n width: 18px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle {\\n width: 28px;\\n height: 34px;\\n left: -6px;\\n top: -17px;\\n}\\n.bk-root .bk-noUi-target {\\n background: #FAFAFA;\\n border-radius: 4px;\\n border: 1px solid #D3D3D3;\\n box-shadow: inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;\\n}\\n.bk-root .bk-noUi-connect {\\n background: #3FB8AF;\\n border-radius: 4px;\\n box-shadow: inset 0 0 3px rgba(51, 51, 51, 0.45);\\n -webkit-transition: background 450ms;\\n transition: background 450ms;\\n}\\n.bk-root .bk-noUi-draggable {\\n cursor: ew-resize;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-draggable {\\n cursor: ns-resize;\\n}\\n.bk-root .bk-noUi-handle {\\n border: 1px solid #D9D9D9;\\n border-radius: 3px;\\n background: #FFF;\\n cursor: default;\\n box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .bk-noUi-active {\\n box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .bk-noUi-handle:before,\\n.bk-root .bk-noUi-handle:after {\\n content: \"\";\\n display: block;\\n position: absolute;\\n height: 14px;\\n width: 1px;\\n background: #E8E7E6;\\n left: 14px;\\n top: 6px;\\n}\\n.bk-root .bk-noUi-handle:after {\\n left: 17px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle:before,\\n.bk-root .bk-noUi-vertical .bk-noUi-handle:after {\\n width: 14px;\\n height: 1px;\\n left: 6px;\\n top: 14px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle:after {\\n top: 17px;\\n}\\n.bk-root [disabled] .bk-noUi-connect {\\n background: #B8B8B8;\\n}\\n.bk-root [disabled].bk-noUi-target,\\n.bk-root [disabled].bk-noUi-handle,\\n.bk-root [disabled] .bk-noUi-handle {\\n cursor: not-allowed;\\n}\\n.bk-root .bk-noUi-pips,\\n.bk-root .bk-noUi-pips * {\\n -moz-box-sizing: border-box;\\n box-sizing: border-box;\\n}\\n.bk-root .bk-noUi-pips {\\n position: absolute;\\n color: #999;\\n}\\n.bk-root .bk-noUi-value {\\n position: absolute;\\n white-space: nowrap;\\n text-align: center;\\n}\\n.bk-root .bk-noUi-value-sub {\\n color: #ccc;\\n font-size: 10px;\\n}\\n.bk-root .bk-noUi-marker {\\n position: absolute;\\n background: #CCC;\\n}\\n.bk-root .bk-noUi-marker-sub {\\n background: #AAA;\\n}\\n.bk-root .bk-noUi-marker-large {\\n background: #AAA;\\n}\\n.bk-root .bk-noUi-pips-horizontal {\\n padding: 10px 0;\\n height: 80px;\\n top: 100%;\\n left: 0;\\n width: 100%;\\n}\\n.bk-root .bk-noUi-value-horizontal {\\n -webkit-transform: translate3d(-50%, 50%, 0);\\n transform: translate3d(-50%, 50%, 0);\\n}\\n.bk-root .bk-noUi-marker-horizontal.bk-noUi-marker {\\n margin-left: -1px;\\n width: 2px;\\n height: 5px;\\n}\\n.bk-root .bk-noUi-marker-horizontal.bk-noUi-marker-sub {\\n height: 10px;\\n}\\n.bk-root .bk-noUi-marker-horizontal.bk-noUi-marker-large {\\n height: 15px;\\n}\\n.bk-root .bk-noUi-pips-vertical {\\n padding: 0 10px;\\n height: 100%;\\n top: 0;\\n left: 100%;\\n}\\n.bk-root .bk-noUi-value-vertical {\\n -webkit-transform: translate3d(0, 50%, 0);\\n transform: translate3d(0, 50%, 0);\\n padding-left: 25px;\\n}\\n.bk-root .bk-noUi-marker-vertical.bk-noUi-marker {\\n width: 5px;\\n height: 2px;\\n margin-top: -1px;\\n}\\n.bk-root .bk-noUi-marker-vertical.bk-noUi-marker-sub {\\n width: 10px;\\n}\\n.bk-root .bk-noUi-marker-vertical.bk-noUi-marker-large {\\n width: 15px;\\n}\\n.bk-root .bk-noUi-tooltip {\\n display: block;\\n position: absolute;\\n border: 1px solid #D9D9D9;\\n border-radius: 3px;\\n background: #fff;\\n color: #000;\\n padding: 5px;\\n text-align: center;\\n white-space: nowrap;\\n}\\n.bk-root .bk-noUi-horizontal .bk-noUi-tooltip {\\n -webkit-transform: translate(-50%, 0);\\n transform: translate(-50%, 0);\\n left: 50%;\\n bottom: 120%;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-tooltip {\\n -webkit-transform: translate(0, -50%);\\n transform: translate(0, -50%);\\n top: 50%;\\n right: 120%;\\n}\\n.bk-root .bk-noUi-handle {\\n cursor: grab;\\n cursor: -webkit-grab;\\n}\\n.bk-root .bk-noUi-handle.bk-noUi-active {\\n cursor: grabbing;\\n cursor: -webkit-grabbing;\\n}\\n.bk-root .bk-noUi-tooltip {\\n display: none;\\n white-space: nowrap;\\n}\\n.bk-root .bk-noUi-handle:hover .bk-noUi-tooltip {\\n display: block;\\n}\\n.bk-root .bk-noUi-horizontal {\\n width: 100%;\\n height: 10px;\\n}\\n.bk-root .bk-noUi-horizontal.bk-noUi-target {\\n margin: 5px 0px;\\n}\\n.bk-root .bk-noUi-horizontal .bk-noUi-handle {\\n width: 14px;\\n height: 18px;\\n left: -7px;\\n top: -5px;\\n}\\n.bk-root .bk-noUi-vertical {\\n width: 10px;\\n height: 100%;\\n}\\n.bk-root .bk-noUi-vertical.bk-noUi-target {\\n margin: 0px 5px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle {\\n width: 18px;\\n height: 14px;\\n left: -5px;\\n top: -7px;\\n}\\n.bk-root .bk-noUi-handle:after,\\n.bk-root .bk-noUi-handle:before {\\n display: none;\\n}\\n.bk-root .bk-noUi-connect {\\n box-shadow: none;\\n}\\n')},474:function(t,e,n){t(311);var i=t(5);i.styles.append('.bk-root {\\n @charset \"UTF-8\";\\n /*!\\n * Pikaday\\n * Copyright © 2014 David Bushell | BSD & MIT license | https://dbushell.com/\\n */\\n /*\\nclear child float (pika-lendar), using the famous micro clearfix hack\\nhttp://nicolasgallagher.com/micro-clearfix-hack/\\n*/\\n /* styling for abbr */\\n}\\n.bk-root .pika-single {\\n z-index: 9999;\\n display: block;\\n position: relative;\\n color: #333;\\n background: #fff;\\n border: 1px solid #ccc;\\n border-bottom-color: #bbb;\\n font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\\n}\\n.bk-root .pika-single:before,\\n.bk-root .pika-single:after {\\n content: \" \";\\n display: table;\\n}\\n.bk-root .pika-single:after {\\n clear: both;\\n}\\n.bk-root .pika-single.is-hidden {\\n display: none;\\n}\\n.bk-root .pika-single.is-bound {\\n position: absolute;\\n box-shadow: 0 5px 15px -5px rgba(0, 0, 0, 0.5);\\n}\\n.bk-root .pika-lendar {\\n float: left;\\n width: 240px;\\n margin: 8px;\\n}\\n.bk-root .pika-title {\\n position: relative;\\n text-align: center;\\n}\\n.bk-root .pika-label {\\n display: inline-block;\\n position: relative;\\n z-index: 9999;\\n overflow: hidden;\\n margin: 0;\\n padding: 5px 3px;\\n font-size: 14px;\\n line-height: 20px;\\n font-weight: bold;\\n background-color: #fff;\\n}\\n.bk-root .pika-title select {\\n cursor: pointer;\\n position: absolute;\\n z-index: 9998;\\n margin: 0;\\n left: 0;\\n top: 5px;\\n opacity: 0;\\n}\\n.bk-root .pika-prev,\\n.bk-root .pika-next {\\n display: block;\\n cursor: pointer;\\n position: relative;\\n outline: none;\\n border: 0;\\n padding: 0;\\n width: 20px;\\n height: 30px;\\n /* hide text using text-indent trick, using width value (it\\'s enough) */\\n text-indent: 20px;\\n white-space: nowrap;\\n overflow: hidden;\\n background-color: transparent;\\n background-position: center center;\\n background-repeat: no-repeat;\\n background-size: 75% 75%;\\n opacity: 0.5;\\n}\\n.bk-root .pika-prev:hover,\\n.bk-root .pika-next:hover {\\n opacity: 1;\\n}\\n.bk-root .pika-prev,\\n.bk-root .is-rtl .pika-next {\\n float: left;\\n background-image: url(\\'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAeCAYAAAAsEj5rAAAAUklEQVR42u3VMQoAIBADQf8Pgj+OD9hG2CtONJB2ymQkKe0HbwAP0xucDiQWARITIDEBEnMgMQ8S8+AqBIl6kKgHiXqQqAeJepBo/z38J/U0uAHlaBkBl9I4GwAAAABJRU5ErkJggg==\\');\\n}\\n.bk-root .pika-next,\\n.bk-root .is-rtl .pika-prev {\\n float: right;\\n background-image: url(\\'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAeCAYAAAAsEj5rAAAAU0lEQVR42u3VOwoAMAgE0dwfAnNjU26bYkBCFGwfiL9VVWoO+BJ4Gf3gtsEKKoFBNTCoCAYVwaAiGNQGMUHMkjGbgjk2mIONuXo0nC8XnCf1JXgArVIZAQh5TKYAAAAASUVORK5CYII=\\');\\n}\\n.bk-root .pika-prev.is-disabled,\\n.bk-root .pika-next.is-disabled {\\n cursor: default;\\n opacity: 0.2;\\n}\\n.bk-root .pika-select {\\n display: inline-block;\\n}\\n.bk-root .pika-table {\\n width: 100%;\\n border-collapse: collapse;\\n border-spacing: 0;\\n border: 0;\\n}\\n.bk-root .pika-table th,\\n.bk-root .pika-table td {\\n width: 14.28571429%;\\n padding: 0;\\n}\\n.bk-root .pika-table th {\\n color: #999;\\n font-size: 12px;\\n 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url(\"data:image/gif;base64,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\");\\n}\\n')},489:function(e,t,n){e(311),e(488),e(5).styles.append('.bk-root 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1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=C.css(e.elem,e.prop,\"\"))&&\"auto\"!==t?t:0},set:function(e){C.fx.step[e.prop]?C.fx.step[e.prop](e):1!==e.elem.nodeType||!C.cssHooks[e.prop]&&null==e.elem.style[Ue(e.prop)]?e.elem[e.prop]=e.now:C.style(e.elem,e.prop,e.now+e.unit)}}},nt.propHooks.scrollTop=nt.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},C.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:\"swing\"},C.fx=nt.prototype.init,C.fx.step={};var ot,rt,it=/^(?:toggle|show|hide)$/,At=/queueHooks$/;function lt(){rt&&(!1===o.hidden&&e.requestAnimationFrame?e.requestAnimationFrame(lt):e.setTimeout(lt,C.fx.interval),C.fx.tick())}function at(){return e.setTimeout(function(){ot=void 0}),ot=Date.now()}function st(e,t){var n,o=0,r={height:e};for(t=t?1:0;o<4;o+=2-t)r[\"margin\"+(n=ne[o])]=r[\"padding\"+n]=e;return t&&(r.opacity=r.width=e),r}function 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this.each(function(t){C(this).removeClass(e.call(this,t,mt(this)))});if(!arguments.length)return this.attr(\"class\",\"\");if((t=vt(e)).length)for(;n=this[a++];)if(r=mt(n),o=1===n.nodeType&&\" \"+gt(r)+\" \"){for(A=0;i=t[A++];)for(;o.indexOf(\" \"+i+\" \")>-1;)o=o.replace(\" \"+i+\" \",\" \");r!==(l=gt(o))&&n.setAttribute(\"class\",l)}return this},toggleClass:function(e,t){var n=typeof e,o=\"string\"===n||Array.isArray(e);return\"boolean\"==typeof t&&o?t?this.addClass(e):this.removeClass(e):h(e)?this.each(function(n){C(this).toggleClass(e.call(this,n,mt(this),t),t)}):this.each(function(){var t,r,i,A;if(o)for(r=0,i=C(this),A=vt(e);t=A[r++];)i.hasClass(t)?i.removeClass(t):i.addClass(t);else void 0!==e&&\"boolean\"!==n||((t=mt(this))&&X.set(this,\"__className__\",t),this.setAttribute&&this.setAttribute(\"class\",t||!1===e?\"\":X.get(this,\"__className__\")||\"\"))})},hasClass:function(e){var t,n,o=0;for(t=\" \"+e+\" \";n=this[o++];)if(1===n.nodeType&&(\" \"+gt(mt(n))+\" 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C.Event,n,{type:e,isSimulated:!0});C.event.trigger(o,null,t)}}),C.fn.extend({trigger:function(e,t){return this.each(function(){C.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return C.event.trigger(e,t,n,!0)}}),f.focusin||C.each({focus:\"focusin\",blur:\"focusout\"},function(e,t){var n=function(e){C.event.simulate(t,e.target,C.event.fix(e))};C.event.special[t]={setup:function(){var o=this.ownerDocument||this,r=X.access(o,t);r||o.addEventListener(e,n,!0),X.access(o,t,(r||0)+1)},teardown:function(){var o=this.ownerDocument||this,r=X.access(o,t)-1;r?X.access(o,t,r):(o.removeEventListener(e,n,!0),X.remove(o,t))}}});var bt=e.location,xt=Date.now(),kt=/\\?/;C.parseXML=function(t){var n;if(!t||\"string\"!=typeof t)return null;try{n=(new e.DOMParser).parseFromString(t,\"text/xml\")}catch(e){n=void 0}return n&&!n.getElementsByTagName(\"parsererror\").length||C.error(\"Invalid XML: \"+t),n};var 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dependencies\n", + "# imports\n", + "import panel as pn\n", + "pn.extension('plotly')\n", + "import plotly.express as px\n", + "import pandas as pd\n", + "import hvplot.pandas\n", + "import matplotlib.pyplot as plt\n", + "import os\n", + "from pathlib import Path\n", + "from dotenv import load_dotenv\n", + "import seaborn as sns\n", + "import numpy as np\n", + "import alpaca_trade_api as tradeapi\n", + "from MCForecastTools import MCSimulation\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Initialize the Panel Extensions (for Plotly)\n", + "pn.extension('plotly')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Read the Mapbox API key\n", + "load_dotenv()\n", + "mapbox_token = os.getenv(\"MAPBOX\")\n", + "\n", + "# Set the Mapbox API\n", + "px.set_mapbox_access_token(mapbox_token)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Clean The Data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "#Set the file paths for the CSVs\n", + "\n", + "eve_data = Path(\"../CSVs/ORCL-SQ-NVDA.csv\")\n", + "\n", + "eren_data = Path(\"../CSVs/BABA-PFE-NFLX-CRM-GD.csv\")\n", + "\n", + "phil_data = Path(\"../CSVs/Phil_Stocks.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Read the data\n", + "\n", + "eve_df = pd.read_csv(eve_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n", + "\n", + "eren_df = pd.read_csv(eren_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n", + "\n", + "phil_df = pd.read_csv(phil_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ORCLSQNVDABABAPFENFLXCRMGDAMTHDFBMSFTWMT
Date
2015-10-02NaNNaNNaNNaNNaNNaNNaNNaN89.74117.8192.0745.5764.98
2015-10-05NaNNaNNaN63.93000027.822315111.25000075.269997129.01866193.46119.2094.0146.6365.87
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2015-10-07NaNNaNNaN66.27999927.664425108.09999875.000000126.27209594.24119.6592.4046.8066.36
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1225 rows × 29 columns

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" + ], + "text/plain": [ + " ORCL SQ NVDA BABA PFE \\\n", + "2015-11-19 36.108597 13.070000 30.458263 77.870003 27.049994 \n", + "2015-11-20 36.404728 12.850000 30.722525 79.949997 26.957846 \n", + "2015-11-23 36.219639 12.120000 30.262524 81.309998 26.245783 \n", + "2015-11-24 36.515770 12.020000 30.507206 80.860001 26.781923 \n", + "2015-11-25 36.330700 11.900000 30.468054 81.709999 27.535873 \n", + "... ... ... ... ... ... \n", + "2020-09-25 59.799999 157.720001 514.950012 271.089996 36.049999 \n", + "2020-09-28 59.580002 160.759995 521.400024 276.010010 36.389999 \n", + "2020-09-29 59.470001 164.809998 529.030029 276.929993 36.169998 \n", + "2020-09-30 59.700001 162.550003 541.219971 293.980011 36.700001 \n", + "2020-10-01 59.680000 168.490005 544.580017 290.049988 36.369999 \n", + "\n", + " NFLX CRM GD AMT HD ... BLK \\\n", + "2015-11-19 120.220001 80.639999 130.626297 99.63 126.86 ... 359.09 \n", + "2015-11-20 123.839996 80.989998 130.896194 100.49 130.21 ... 362.46 \n", + "2015-11-23 125.029999 80.779999 130.077530 99.94 132.50 ... 363.25 \n", + "2015-11-24 123.309998 80.389999 130.923172 99.26 133.60 ... 356.81 \n", + "2015-11-25 124.160004 80.410004 130.608292 99.09 134.65 ... 360.62 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-25 482.880005 242.740005 138.210007 239.81 268.55 ... 547.81 \n", + "2020-09-28 490.649994 246.669998 140.919998 240.00 272.33 ... 558.65 \n", + "2020-09-29 493.480011 247.449997 138.550003 240.12 272.11 ... 554.80 \n", + "2020-09-30 500.029999 251.320007 138.429993 241.73 277.71 ... 563.55 \n", + "2020-10-01 527.510010 253.449997 138.220001 242.15 277.62 ... 567.91 \n", + "\n", + " TROW JNJ UNH MMM UPS ACN PPG AMT \\\n", + "2015-11-19 76.38 102.49 110.63 158.38 104.10 107.28 103.37 99.63 \n", + "2015-11-20 76.37 102.48 112.97 158.95 104.10 107.97 104.62 100.49 \n", + "2015-11-23 76.15 102.77 112.16 158.65 103.59 107.84 105.47 99.94 \n", + "2015-11-24 75.62 102.04 113.19 157.75 103.40 107.35 105.49 99.26 \n", + "2015-11-25 76.01 101.96 114.41 157.63 103.49 107.10 106.46 99.09 \n", + "... ... ... ... ... ... ... ... ... \n", + "2020-09-25 125.22 145.66 302.50 160.27 166.12 214.63 120.25 239.81 \n", + "2020-09-28 128.55 147.11 303.23 161.66 168.90 222.78 121.74 240.00 \n", + "2020-09-29 127.49 147.06 304.15 159.81 168.50 224.08 120.33 240.12 \n", + "2020-09-30 128.22 148.88 311.77 160.18 166.63 225.99 122.08 241.73 \n", + "2020-10-01 128.04 147.32 313.07 158.79 167.65 225.18 121.78 242.15 \n", + "\n", + " NEE \n", + "2015-11-19 100.99 \n", + "2015-11-20 101.02 \n", + "2015-11-23 100.49 \n", + "2015-11-24 99.41 \n", + "2015-11-25 98.88 \n", + "... ... \n", + "2020-09-25 281.82 \n", + "2020-09-28 284.14 \n", + "2020-09-29 283.12 \n", + "2020-09-30 277.56 \n", + "2020-10-01 282.76 \n", + "\n", + "[1225 rows x 29 columns]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Combining all of our df's to create one master df from where we will decide which stocks we chose\n", + "\n", + "combined_2 = pd.concat([eve_df, eren_df, phil_df, felipe_df], axis='columns', join='outer')\n", + "combined_2.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['ORCL', 'SQ', 'NVDA', 'BABA', 'PFE', 'NFLX', 'CRM', 'GD', 'AMT', 'HD',\n", + " 'FB', 'MSFT', 'WMT', 'VZ', 'MCD', 'SBUX', 'CLX', 'COST', 'PSX', 'BLK',\n", + " 'TROW', 'JNJ', 'UNH', 'MMM', 'UPS', 'ACN', 'PPG', 'AMT', 'NEE'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "#Just a sanity check to see all the column names to ensure that we got everything\n", + "\n", + "print(combined_2.columns)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Inital Data Calculations of All the Potential Stocks for Our Portfolio" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculate Daily Returns" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ORCLSQNVDABABAPFENFLXCRMGDAMTHD...BLKTROWJNJUNHMMMUPSACNPPGAMTNEE
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2015-11-25-0.005068-0.009983-0.0012830.0105120.0281510.0068930.000249-0.002405-0.0017130.007859...0.0106780.005157-0.0007840.010778-0.0007610.000870-0.0023290.009195-0.001713-0.005331
2015-11-27-0.0020380.0126050.008352-0.004039-0.0024340.010309-0.0054720.0026170.0059540.000668...-0.006184-0.0007890.004021-0.0006120.0022840.0066670.003361-0.0023480.0059540.004956
..................................................................
2020-09-28-0.0036790.0192750.0125260.0181490.0094310.0160910.0161900.0196080.0007920.014076...0.0197880.0265930.0099550.0024130.0086730.0167350.0379720.0123910.0007920.008232
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1225 rows × 29 columns

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" + ], + "text/plain": [ + " ORCL SQ NVDA BABA PFE NFLX \\\n", + "2015-11-20 0.008201 -0.016832 0.008676 0.026711 -0.003407 0.030111 \n", + "2015-11-23 -0.005084 -0.056809 -0.014973 0.017011 -0.026414 0.009609 \n", + "2015-11-24 0.008176 -0.008251 0.008085 -0.005534 0.020428 -0.013757 \n", + "2015-11-25 -0.005068 -0.009983 -0.001283 0.010512 0.028151 0.006893 \n", + "2015-11-27 -0.002038 0.012605 0.008352 -0.004039 -0.002434 0.010309 \n", + "... ... ... ... ... ... ... \n", + "2020-09-28 -0.003679 0.019275 0.012526 0.018149 0.009431 0.016091 \n", + "2020-09-29 -0.001846 0.025193 0.014634 0.003333 -0.006046 0.005768 \n", + "2020-09-30 0.003867 -0.013713 0.023042 0.061568 0.014653 0.013273 \n", + "2020-10-01 -0.000335 0.036543 0.006208 -0.013368 -0.008992 0.054957 \n", + "2020-10-02 -0.014243 0.006647 -0.040563 -0.006482 0.000275 -0.046350 \n", + "\n", + " CRM GD AMT HD ... BLK TROW \\\n", + "2015-11-20 0.004340 0.002066 0.008632 0.026407 ... 0.009385 -0.000131 \n", + "2015-11-23 -0.002593 -0.006254 -0.005473 0.017587 ... 0.002180 -0.002881 \n", + "2015-11-24 -0.004828 0.006501 -0.006804 0.008302 ... -0.017729 -0.006960 \n", + "2015-11-25 0.000249 -0.002405 -0.001713 0.007859 ... 0.010678 0.005157 \n", + "2015-11-27 -0.005472 0.002617 0.005954 0.000668 ... -0.006184 -0.000789 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-28 0.016190 0.019608 0.000792 0.014076 ... 0.019788 0.026593 \n", + "2020-09-29 0.003162 -0.016818 0.000500 -0.000808 ... -0.006892 -0.008246 \n", + "2020-09-30 0.015640 -0.000866 0.006705 0.020580 ... 0.015771 0.005726 \n", + "2020-10-01 0.008475 -0.001517 0.001737 -0.000324 ... 0.007737 -0.001404 \n", + "2020-10-02 -0.022095 0.016423 0.000000 0.000000 ... 0.000000 0.000000 \n", + "\n", + " JNJ UNH MMM UPS ACN PPG \\\n", + "2015-11-20 -0.000098 0.021152 0.003599 0.000000 0.006432 0.012092 \n", + "2015-11-23 0.002830 -0.007170 -0.001887 -0.004899 -0.001204 0.008125 \n", + "2015-11-24 -0.007103 0.009183 -0.005673 -0.001834 -0.004544 0.000190 \n", + "2015-11-25 -0.000784 0.010778 -0.000761 0.000870 -0.002329 0.009195 \n", + "2015-11-27 0.004021 -0.000612 0.002284 0.006667 0.003361 -0.002348 \n", + "... ... ... ... ... ... ... \n", + "2020-09-28 0.009955 0.002413 0.008673 0.016735 0.037972 0.012391 \n", + "2020-09-29 -0.000340 0.003034 -0.011444 -0.002368 0.005835 -0.011582 \n", + "2020-09-30 0.012376 0.025053 0.002315 -0.011098 0.008524 0.014543 \n", + "2020-10-01 -0.010478 0.004170 -0.008678 0.006121 -0.003584 -0.002457 \n", + "2020-10-02 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "\n", + " AMT NEE \n", + "2015-11-20 0.008632 0.000297 \n", + "2015-11-23 -0.005473 -0.005246 \n", + "2015-11-24 -0.006804 -0.010747 \n", + "2015-11-25 -0.001713 -0.005331 \n", + "2015-11-27 0.005954 0.004956 \n", + "... ... ... \n", + "2020-09-28 0.000792 0.008232 \n", + "2020-09-29 0.000500 -0.003590 \n", + "2020-09-30 0.006705 -0.019638 \n", + "2020-10-01 0.001737 0.018735 \n", + "2020-10-02 0.000000 0.000000 \n", + "\n", + "[1225 rows x 29 columns]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Calculating the daily returns for each stock\n", + "\n", + "portfolio_daily=combined_2.pct_change()\n", + "\n", + "portfolio_daily.dropna()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculating Cumulative Returns" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ORCLSQNVDABABAPFENFLXCRMGDAMTHD...BLKTROWJNJUNHMMMUPSACNPPGAMTNEE
2015-11-200.008201-0.0168320.0086760.250587-0.0310710.1131690.0759930.0145520.1197910.105254...0.2248580.1134280.099925-0.0312150.1289060.0559950.0968100.1607680.1370220.046297
2015-11-230.003075-0.072686-0.0064260.271860-0.0566640.1238650.0732030.0082070.1136620.124692...0.2275280.1102200.103037-0.0381610.1267760.0508220.0954900.1701990.1307990.040808
2015-11-240.011276-0.0803370.0016070.264821-0.0373940.1084040.0680220.0147620.1060840.134029...0.2057650.1024930.095202-0.0293290.1203840.0488940.0905120.1704210.1231050.029622
2015-11-250.006151-0.0895180.0003210.278117-0.0102950.1160450.0682880.0123210.1041900.142942...0.2186400.1081790.094344-0.0188660.1195310.0498070.0879720.1811830.1211810.024133
2015-11-270.004101-0.0780410.0086760.272955-0.0127040.1275510.0624420.0149700.1107640.143706...0.2111040.1073040.098744-0.0194670.1220880.0568070.0916290.1784090.1278570.029208
..................................................................
2020-09-280.65002311.29992316.1185083.3173790.3079433.4103372.2771360.0922451.6743931.311603...0.8878410.8741800.5789421.6003770.1481530.7133291.2631040.3507161.7155471.942931
2020-09-290.64697611.60979316.3690153.3317690.3000363.4357752.2874980.0738761.6757301.309736...0.8748310.8587260.5784051.6082670.1350140.7092721.2763100.3350721.7169041.932367
2020-09-300.65334611.43687916.7692333.5984670.3190853.4946522.3389130.0729461.6936711.357270...0.9044000.8693690.5979391.6736130.1376420.6903021.2957130.3544881.7351211.874780
2020-10-010.65279211.89135516.8795493.5369930.3072243.7416632.3672110.0713181.6983511.356506...0.9191340.8667440.5811961.6847610.1277700.7006491.2874850.3511591.7398731.928638
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1225 rows × 29 columns

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" + ], + "text/plain": [ + " ORCL SQ NVDA BABA PFE NFLX \\\n", + "2015-11-20 0.008201 -0.016832 0.008676 0.250587 -0.031071 0.113169 \n", + "2015-11-23 0.003075 -0.072686 -0.006426 0.271860 -0.056664 0.123865 \n", + "2015-11-24 0.011276 -0.080337 0.001607 0.264821 -0.037394 0.108404 \n", + "2015-11-25 0.006151 -0.089518 0.000321 0.278117 -0.010295 0.116045 \n", + "2015-11-27 0.004101 -0.078041 0.008676 0.272955 -0.012704 0.127551 \n", + "... ... ... ... ... ... ... \n", + "2020-09-28 0.650023 11.299923 16.118508 3.317379 0.307943 3.410337 \n", + "2020-09-29 0.646976 11.609793 16.369015 3.331769 0.300036 3.435775 \n", + "2020-09-30 0.653346 11.436879 16.769233 3.598467 0.319085 3.494652 \n", + "2020-10-01 0.652792 11.891355 16.879549 3.536993 0.307224 3.741663 \n", + "2020-10-02 0.629252 11.977047 16.154294 3.507587 0.307584 3.521888 \n", + "\n", + " CRM GD AMT HD ... BLK TROW \\\n", + "2015-11-20 0.075993 0.014552 0.119791 0.105254 ... 0.224858 0.113428 \n", + "2015-11-23 0.073203 0.008207 0.113662 0.124692 ... 0.227528 0.110220 \n", + "2015-11-24 0.068022 0.014762 0.106084 0.134029 ... 0.205765 0.102493 \n", + "2015-11-25 0.068288 0.012321 0.104190 0.142942 ... 0.218640 0.108179 \n", + "2015-11-27 0.062442 0.014970 0.110764 0.143706 ... 0.211104 0.107304 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-28 2.277136 0.092245 1.674393 1.311603 ... 0.887841 0.874180 \n", + "2020-09-29 2.287498 0.073876 1.675730 1.309736 ... 0.874831 0.858726 \n", + "2020-09-30 2.338913 0.072946 1.693671 1.357270 ... 0.904400 0.869369 \n", + "2020-10-01 2.367211 0.071318 1.698351 1.356506 ... 0.919134 0.866744 \n", + "2020-10-02 2.292813 0.088912 1.698351 1.356506 ... 0.919134 0.866744 \n", + "\n", + " JNJ UNH MMM UPS ACN PPG \\\n", + "2015-11-20 0.099925 -0.031215 0.128906 0.055995 0.096810 0.160768 \n", + "2015-11-23 0.103037 -0.038161 0.126776 0.050822 0.095490 0.170199 \n", + "2015-11-24 0.095202 -0.029329 0.120384 0.048894 0.090512 0.170421 \n", + "2015-11-25 0.094344 -0.018866 0.119531 0.049807 0.087972 0.181183 \n", + "2015-11-27 0.098744 -0.019467 0.122088 0.056807 0.091629 0.178409 \n", + "... ... ... ... ... ... ... \n", + "2020-09-28 0.578942 1.600377 0.148153 0.713329 1.263104 0.350716 \n", + "2020-09-29 0.578405 1.608267 0.135014 0.709272 1.276310 0.335072 \n", + "2020-09-30 0.597939 1.673613 0.137642 0.690302 1.295713 0.354488 \n", + "2020-10-01 0.581196 1.684761 0.127770 0.700649 1.287485 0.351159 \n", + "2020-10-02 0.581196 1.684761 0.127770 0.700649 1.287485 0.351159 \n", + "\n", + " AMT NEE \n", + "2015-11-20 0.137022 0.046297 \n", + "2015-11-23 0.130799 0.040808 \n", + "2015-11-24 0.123105 0.029622 \n", + "2015-11-25 0.121181 0.024133 \n", + "2015-11-27 0.127857 0.029208 \n", + "... ... ... \n", + "2020-09-28 1.715547 1.942931 \n", + "2020-09-29 1.716904 1.932367 \n", + "2020-09-30 1.735121 1.874780 \n", + "2020-10-01 1.739873 1.928638 \n", + "2020-10-02 1.739873 1.928638 \n", + "\n", + "[1225 rows x 29 columns]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Calculating each stocks cumulative return\n", + "\n", + "portfolio_cumulative = (portfolio_daily + 1).cumprod() -1 \n", + "portfolio_cumulative.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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ORCLSQNVDABABAPFENFLXCRMGDAMTHD...BLKTROWJNJUNHMMMUPSACNPPGAMTNEE
ORCL1.0000000.3867440.4410400.4015310.4894900.3693830.5199980.4903170.4491870.541530...0.5746010.6183750.4998360.4622280.4938100.4878020.5910720.4655680.4491870.396957
SQ0.3867441.0000000.4971010.4351900.2667960.4062010.5224510.3526470.3088850.450279...0.4319280.4096110.2428600.3781590.3195240.3338340.4596900.3715240.3088850.277866
NVDA0.4410400.4971011.0000000.5111860.3027160.4340590.5186490.3800770.3170520.498054...0.4801330.4459710.3214360.4096790.4285200.3945180.4820800.3814440.3170520.273752
BABA0.4015310.4351900.5111861.0000000.2777020.4186950.4586910.3536400.2604170.363652...0.4539070.4093930.2876510.3196690.3689890.3451120.4445010.3846590.2604170.164492
PFE0.4894900.2667960.3027160.2777021.0000000.2415240.3400860.4658070.4234150.465854...0.4998600.5282400.6011880.5066450.4674510.4185800.4725090.3920160.4234150.401200
NFLX0.3693830.4062010.4340590.4186950.2415241.0000000.5053630.2659910.2215680.356067...0.3393150.3284850.2272230.3338980.2652860.2985670.3785060.2327310.2215680.143194
CRM0.5199980.5224510.5186490.4586910.3400860.5053631.0000000.3908740.3858790.533370...0.5156050.4817450.3532720.4152880.3812640.3609450.5703540.3955940.3858790.296409
GD0.4903170.3526470.3800770.3536400.4658070.2659910.3908741.0000000.4360780.559862...0.6292730.6362080.4668390.5051940.6140540.4917390.5873170.5811770.4360780.421907
AMT0.4491870.3088850.3170520.2604170.4234150.2215680.3858790.4360781.0000000.489816...0.4911200.4553020.4942700.4579720.3803470.3639200.5437900.4094361.0000000.634955
HD0.5415300.4502790.4980540.3636520.4658540.3560670.5333700.5598620.4898161.000000...0.6379710.5801710.4557370.5476120.5403290.4967440.6536810.5650350.4898160.469551
FB0.4572070.4367920.4830110.4683350.3272480.4629000.5569160.3473160.3547480.476309...0.4515280.4630390.3389630.3950710.3638710.3674200.5148830.3553010.3547480.286661
MSFT0.6466100.5437230.6052890.5427340.4808340.5137660.6796170.4933680.4916290.619985...0.6371540.6116720.5132320.5491180.5084840.4733210.6978060.4834760.4916290.427397
WMT0.3958240.1878690.2776780.1842560.3627780.2417830.2575220.2917780.3428830.403235...0.3249320.3966910.3942330.3291640.3123590.3448490.3578910.2142330.3428830.353807
VZ0.3867150.1394750.2070150.1574890.4200160.1305500.2239560.3840660.4223330.407158...0.3940410.4188230.4806800.3729220.3886110.3513490.4162890.3108070.4220080.484183
MCD-0.0036410.0277500.0103220.013460-0.032039-0.0221460.010757-0.054155-0.042996-0.009309...-0.026979-0.042255-0.058079-0.003496-0.030284-0.067721-0.037804-0.026089-0.043673-0.072508
SBUX0.5269510.3904600.3842160.3464910.3996690.2859690.4564000.4951170.4807120.600181...0.5871040.5217480.4369400.4951340.4953640.4183710.6161910.5224960.4809090.424887
CLX0.2604170.0756700.1621180.0649580.2919650.1239450.1661570.1931860.3558460.261454...0.2339200.2667230.3698660.2143010.2154790.2362350.2765440.1329080.3562750.408573
COST0.4262800.2922460.3586260.2659680.4032050.3110270.3631610.3813530.3790050.505839...0.4390980.4868540.4727360.4104830.4068340.4369280.4795760.3255530.3792600.350427
PSX0.4693420.3521310.3372000.3264890.3914310.2089930.3624550.5719580.3696420.479879...0.5508330.5711330.3760430.4485490.5134600.4019740.5318380.5707670.3700540.345528
BLK0.5746010.4319280.4801330.4539070.4998600.3393150.5156050.6292730.4911200.637971...1.0000000.7761580.5399300.5599910.6154580.5285370.6798080.6259530.4915590.425750
TROW0.6183750.4096110.4459710.4093930.5282400.3284850.4817450.6362080.4553020.580171...0.7761581.0000000.5126670.5141520.6061870.5787370.6367180.5329310.4552170.377826
JNJ0.4998360.2428600.3214360.2876510.6011880.2272230.3532720.4668390.4942700.455737...0.5399300.5126671.0000000.5102070.5193090.4252310.5200040.3971810.4944770.476430
UNH0.4622280.3781590.4096790.3196690.5066450.3338980.4152880.5051940.4579720.547612...0.5599910.5141520.5102071.0000000.4839960.4250470.5261000.4885780.4583580.439364
MMM0.4938100.3195240.4285200.3689890.4674510.2652860.3812640.6140540.3803470.540329...0.6154580.6061870.5193090.4839961.0000000.5457290.5806490.5654950.3808170.362916
UPS0.4878020.3338340.3945180.3451120.4185800.2985670.3609450.4917390.3639200.496744...0.5285370.5787370.4252310.4250470.5457291.0000000.4964290.4492990.3641090.326873
ACN0.5910720.4596900.4820800.4445010.4725090.3785060.5703540.5873170.5437900.653681...0.6798080.6367180.5200040.5261000.5806490.4964291.0000000.5829350.5439470.462775
PPG0.4655680.3715240.3814440.3846590.3920160.2327310.3955940.5811770.4094360.565035...0.6259530.5329310.3971810.4885780.5654950.4492990.5829351.0000000.4100280.337895
AMT0.4491870.3088850.3170520.2604170.4234150.2215680.3858790.4360781.0000000.489816...0.4915590.4552170.4944770.4583580.3808170.3641090.5439470.4100281.0000000.635249
NEE0.3969570.2778660.2737520.1644920.4012000.1431940.2964090.4219070.6349550.469551...0.4257500.3778260.4764300.4393640.3629160.3268730.4627750.3378950.6352491.000000
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29 rows × 29 columns

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" + ], + "text/plain": [ + " ORCL SQ NVDA BABA PFE NFLX CRM \\\n", + "ORCL 1.000000 0.386744 0.441040 0.401531 0.489490 0.369383 0.519998 \n", + "SQ 0.386744 1.000000 0.497101 0.435190 0.266796 0.406201 0.522451 \n", + "NVDA 0.441040 0.497101 1.000000 0.511186 0.302716 0.434059 0.518649 \n", + "BABA 0.401531 0.435190 0.511186 1.000000 0.277702 0.418695 0.458691 \n", + "PFE 0.489490 0.266796 0.302716 0.277702 1.000000 0.241524 0.340086 \n", + "NFLX 0.369383 0.406201 0.434059 0.418695 0.241524 1.000000 0.505363 \n", + "CRM 0.519998 0.522451 0.518649 0.458691 0.340086 0.505363 1.000000 \n", + "GD 0.490317 0.352647 0.380077 0.353640 0.465807 0.265991 0.390874 \n", + "AMT 0.449187 0.308885 0.317052 0.260417 0.423415 0.221568 0.385879 \n", + "HD 0.541530 0.450279 0.498054 0.363652 0.465854 0.356067 0.533370 \n", + "FB 0.457207 0.436792 0.483011 0.468335 0.327248 0.462900 0.556916 \n", + "MSFT 0.646610 0.543723 0.605289 0.542734 0.480834 0.513766 0.679617 \n", + "WMT 0.395824 0.187869 0.277678 0.184256 0.362778 0.241783 0.257522 \n", + "VZ 0.386715 0.139475 0.207015 0.157489 0.420016 0.130550 0.223956 \n", + "MCD -0.003641 0.027750 0.010322 0.013460 -0.032039 -0.022146 0.010757 \n", + "SBUX 0.526951 0.390460 0.384216 0.346491 0.399669 0.285969 0.456400 \n", + "CLX 0.260417 0.075670 0.162118 0.064958 0.291965 0.123945 0.166157 \n", + "COST 0.426280 0.292246 0.358626 0.265968 0.403205 0.311027 0.363161 \n", + "PSX 0.469342 0.352131 0.337200 0.326489 0.391431 0.208993 0.362455 \n", + "BLK 0.574601 0.431928 0.480133 0.453907 0.499860 0.339315 0.515605 \n", + "TROW 0.618375 0.409611 0.445971 0.409393 0.528240 0.328485 0.481745 \n", + "JNJ 0.499836 0.242860 0.321436 0.287651 0.601188 0.227223 0.353272 \n", + "UNH 0.462228 0.378159 0.409679 0.319669 0.506645 0.333898 0.415288 \n", + "MMM 0.493810 0.319524 0.428520 0.368989 0.467451 0.265286 0.381264 \n", + "UPS 0.487802 0.333834 0.394518 0.345112 0.418580 0.298567 0.360945 \n", + "ACN 0.591072 0.459690 0.482080 0.444501 0.472509 0.378506 0.570354 \n", + "PPG 0.465568 0.371524 0.381444 0.384659 0.392016 0.232731 0.395594 \n", + "AMT 0.449187 0.308885 0.317052 0.260417 0.423415 0.221568 0.385879 \n", + "NEE 0.396957 0.277866 0.273752 0.164492 0.401200 0.143194 0.296409 \n", + "\n", + " GD AMT HD ... BLK TROW JNJ \\\n", + "ORCL 0.490317 0.449187 0.541530 ... 0.574601 0.618375 0.499836 \n", + "SQ 0.352647 0.308885 0.450279 ... 0.431928 0.409611 0.242860 \n", + "NVDA 0.380077 0.317052 0.498054 ... 0.480133 0.445971 0.321436 \n", + "BABA 0.353640 0.260417 0.363652 ... 0.453907 0.409393 0.287651 \n", + "PFE 0.465807 0.423415 0.465854 ... 0.499860 0.528240 0.601188 \n", + "NFLX 0.265991 0.221568 0.356067 ... 0.339315 0.328485 0.227223 \n", + "CRM 0.390874 0.385879 0.533370 ... 0.515605 0.481745 0.353272 \n", + "GD 1.000000 0.436078 0.559862 ... 0.629273 0.636208 0.466839 \n", + "AMT 0.436078 1.000000 0.489816 ... 0.491120 0.455302 0.494270 \n", + "HD 0.559862 0.489816 1.000000 ... 0.637971 0.580171 0.455737 \n", + "FB 0.347316 0.354748 0.476309 ... 0.451528 0.463039 0.338963 \n", + "MSFT 0.493368 0.491629 0.619985 ... 0.637154 0.611672 0.513232 \n", + "WMT 0.291778 0.342883 0.403235 ... 0.324932 0.396691 0.394233 \n", + "VZ 0.384066 0.422333 0.407158 ... 0.394041 0.418823 0.480680 \n", + "MCD -0.054155 -0.042996 -0.009309 ... -0.026979 -0.042255 -0.058079 \n", + "SBUX 0.495117 0.480712 0.600181 ... 0.587104 0.521748 0.436940 \n", + "CLX 0.193186 0.355846 0.261454 ... 0.233920 0.266723 0.369866 \n", + "COST 0.381353 0.379005 0.505839 ... 0.439098 0.486854 0.472736 \n", + "PSX 0.571958 0.369642 0.479879 ... 0.550833 0.571133 0.376043 \n", + "BLK 0.629273 0.491120 0.637971 ... 1.000000 0.776158 0.539930 \n", + "TROW 0.636208 0.455302 0.580171 ... 0.776158 1.000000 0.512667 \n", + "JNJ 0.466839 0.494270 0.455737 ... 0.539930 0.512667 1.000000 \n", + "UNH 0.505194 0.457972 0.547612 ... 0.559991 0.514152 0.510207 \n", + "MMM 0.614054 0.380347 0.540329 ... 0.615458 0.606187 0.519309 \n", + "UPS 0.491739 0.363920 0.496744 ... 0.528537 0.578737 0.425231 \n", + "ACN 0.587317 0.543790 0.653681 ... 0.679808 0.636718 0.520004 \n", + "PPG 0.581177 0.409436 0.565035 ... 0.625953 0.532931 0.397181 \n", + "AMT 0.436078 1.000000 0.489816 ... 0.491559 0.455217 0.494477 \n", + "NEE 0.421907 0.634955 0.469551 ... 0.425750 0.377826 0.476430 \n", + "\n", + " UNH MMM UPS ACN PPG AMT NEE \n", + "ORCL 0.462228 0.493810 0.487802 0.591072 0.465568 0.449187 0.396957 \n", + "SQ 0.378159 0.319524 0.333834 0.459690 0.371524 0.308885 0.277866 \n", + "NVDA 0.409679 0.428520 0.394518 0.482080 0.381444 0.317052 0.273752 \n", + "BABA 0.319669 0.368989 0.345112 0.444501 0.384659 0.260417 0.164492 \n", + "PFE 0.506645 0.467451 0.418580 0.472509 0.392016 0.423415 0.401200 \n", + "NFLX 0.333898 0.265286 0.298567 0.378506 0.232731 0.221568 0.143194 \n", + "CRM 0.415288 0.381264 0.360945 0.570354 0.395594 0.385879 0.296409 \n", + "GD 0.505194 0.614054 0.491739 0.587317 0.581177 0.436078 0.421907 \n", + "AMT 0.457972 0.380347 0.363920 0.543790 0.409436 1.000000 0.634955 \n", + "HD 0.547612 0.540329 0.496744 0.653681 0.565035 0.489816 0.469551 \n", + "FB 0.395071 0.363871 0.367420 0.514883 0.355301 0.354748 0.286661 \n", + "MSFT 0.549118 0.508484 0.473321 0.697806 0.483476 0.491629 0.427397 \n", + "WMT 0.329164 0.312359 0.344849 0.357891 0.214233 0.342883 0.353807 \n", + "VZ 0.372922 0.388611 0.351349 0.416289 0.310807 0.422008 0.484183 \n", + "MCD -0.003496 -0.030284 -0.067721 -0.037804 -0.026089 -0.043673 -0.072508 \n", + "SBUX 0.495134 0.495364 0.418371 0.616191 0.522496 0.480909 0.424887 \n", + "CLX 0.214301 0.215479 0.236235 0.276544 0.132908 0.356275 0.408573 \n", + "COST 0.410483 0.406834 0.436928 0.479576 0.325553 0.379260 0.350427 \n", + "PSX 0.448549 0.513460 0.401974 0.531838 0.570767 0.370054 0.345528 \n", + "BLK 0.559991 0.615458 0.528537 0.679808 0.625953 0.491559 0.425750 \n", + "TROW 0.514152 0.606187 0.578737 0.636718 0.532931 0.455217 0.377826 \n", + "JNJ 0.510207 0.519309 0.425231 0.520004 0.397181 0.494477 0.476430 \n", + "UNH 1.000000 0.483996 0.425047 0.526100 0.488578 0.458358 0.439364 \n", + "MMM 0.483996 1.000000 0.545729 0.580649 0.565495 0.380817 0.362916 \n", + "UPS 0.425047 0.545729 1.000000 0.496429 0.449299 0.364109 0.326873 \n", + "ACN 0.526100 0.580649 0.496429 1.000000 0.582935 0.543947 0.462775 \n", + "PPG 0.488578 0.565495 0.449299 0.582935 1.000000 0.410028 0.337895 \n", + "AMT 0.458358 0.380817 0.364109 0.543947 0.410028 1.000000 0.635249 \n", + "NEE 0.439364 0.362916 0.326873 0.462775 0.337895 0.635249 1.000000 \n", + "\n", + "[29 rows x 29 columns]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Here we are deciphering the correlation of the stocks amongst themselves.\n", + "correlation_of_all_potential_stocks = portfolio_daily.corr()\n", + "correlation_of_all_potential_stocks" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#We are using a heat map to quickly see if there are any noteable correlations that we should be concerned about.\n", + "sns.heatmap(correlation_of_all_potential_stocks);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Clean the data for the S&P 500" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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OpenHighLowCloseAdj CloseVolume
Date
2015-10-021921.7700201951.3599851893.6999511951.3599851951.3599854378570000
2015-10-051954.3299561989.1700441954.3299561987.0500491987.0500494334490000
2015-10-061986.6300051991.6199951971.9899901979.9200441979.9200444202400000
2015-10-071982.3399661999.3100591976.4399411995.8299561995.8299564666470000
2015-10-081994.0100102016.5000001987.5300292013.4300542013.4300543939140000
.....................
2020-09-253236.6599123306.8798833228.4399413298.4599613298.4599613792220000
2020-09-283333.8999023360.7399903332.9099123351.6000983351.6000983946060000
2020-09-293350.9199223357.9199223327.5400393335.4699713335.4699713651880000
2020-09-303341.2099613393.5600593340.4699713363.0000003363.0000004722530000
2020-10-013385.8701173397.1799323361.3898933380.8000493380.8000494070530000
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1259 rows × 6 columns

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" + ], + "text/plain": [ + " Open High Low Close Adj Close \\\n", + "Date \n", + "2015-10-02 1921.770020 1951.359985 1893.699951 1951.359985 1951.359985 \n", + "2015-10-05 1954.329956 1989.170044 1954.329956 1987.050049 1987.050049 \n", + "2015-10-06 1986.630005 1991.619995 1971.989990 1979.920044 1979.920044 \n", + "2015-10-07 1982.339966 1999.310059 1976.439941 1995.829956 1995.829956 \n", + "2015-10-08 1994.010010 2016.500000 1987.530029 2013.430054 2013.430054 \n", + "... ... ... ... ... ... \n", + "2020-09-25 3236.659912 3306.879883 3228.439941 3298.459961 3298.459961 \n", + "2020-09-28 3333.899902 3360.739990 3332.909912 3351.600098 3351.600098 \n", + "2020-09-29 3350.919922 3357.919922 3327.540039 3335.469971 3335.469971 \n", + "2020-09-30 3341.209961 3393.560059 3340.469971 3363.000000 3363.000000 \n", + "2020-10-01 3385.870117 3397.179932 3361.389893 3380.800049 3380.800049 \n", + "\n", + " Volume \n", + "Date \n", + "2015-10-02 4378570000 \n", + "2015-10-05 4334490000 \n", + "2015-10-06 4202400000 \n", + "2015-10-07 4666470000 \n", + "2015-10-08 3939140000 \n", + "... ... \n", + "2020-09-25 3792220000 \n", + "2020-09-28 3946060000 \n", + "2020-09-29 3651880000 \n", + "2020-09-30 4722530000 \n", + "2020-10-01 4070530000 \n", + "\n", + "[1259 rows x 6 columns]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Reading csv files \n", + "SP500_data = Path(\"../CSVs/SP500.csv\")\n", + "\n", + "raw_portfolio_data = Path(\"../CSVs/raw_portfolio.csv\")\n", + "# Reading csv as df\n", + "\n", + "SP500_df = pd.read_csv(SP500_data,index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n", + "raw_portfolio_data = pd.read_csv(raw_portfolio_data, index_col=0, parse_dates=True, infer_datetime_format=True)\n", + "SP500_df" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Close
Date
2015-10-021951.359985
2015-10-051987.050049
2015-10-061979.920044
2015-10-071995.829956
2015-10-082013.430054
......
2020-09-253298.459961
2020-09-283351.600098
2020-09-293335.469971
2020-09-303363.000000
2020-10-013380.800049
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1259 rows × 1 columns

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" + ], + "text/plain": [ + " Close\n", + "Date \n", + "2015-10-02 1951.359985\n", + "2015-10-05 1987.050049\n", + "2015-10-06 1979.920044\n", + "2015-10-07 1995.829956\n", + "2015-10-08 2013.430054\n", + "... ...\n", + "2020-09-25 3298.459961\n", + "2020-09-28 3351.600098\n", + "2020-09-29 3335.469971\n", + "2020-09-30 3363.000000\n", + "2020-10-01 3380.800049\n", + "\n", + "[1259 rows x 1 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Dropping columns that are not needed\n", + "SP500_close_data= SP500_df.drop(columns=[\"Open\",\"High\",\"Low\",\"Adj Close\", \"Volume\"])\n", + "\n", + "SP500_close_data" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "#Here we saved the output of the dataframe into a csv file for later uses \n", + "\n", + "\n", + " #SP500_close_data.to_csv(r'SP500_close_data.csv', index=True, header=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Combining S&P data with the portfolio containing all our stock picks" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CloseORCLSQNVDABABAPFENFLXCRMGDAMT...PSXBLKTROWJNJUNHMMMUPSACNPPGNEE
2015-11-192081.23999036.10859713.07000030.45826377.87000327.049994120.22000180.639999130.62629799.63...92.38359.0976.38102.49110.63158.38104.10107.28103.37100.99
2015-11-202089.16992236.40472812.85000030.72252579.94999726.957846123.83999680.989998130.896194100.49...91.67362.4676.37102.48112.97158.95104.10107.97104.62101.02
2015-11-232086.59008836.21963912.12000030.26252481.30999826.245783125.02999980.779999130.07753099.94...92.17363.2576.15102.77112.16158.65103.59107.84105.47100.49
2015-11-242089.13989336.51577012.02000030.50720680.86000126.781923123.30999880.389999130.92317299.26...93.13356.8175.62102.04113.19157.75103.40107.35105.4999.41
2015-11-252088.87011736.33070011.90000030.46805481.70999927.535873124.16000480.410004130.60829299.09...92.77360.6276.01101.96114.41157.63103.49107.10106.4698.88
..................................................................
2020-09-253298.45996159.799999157.720001514.950012271.08999636.049999482.880005242.740005138.210007239.81...52.88547.81125.22145.66302.50160.27166.12214.63120.25281.82
2020-09-283351.60009859.580002160.759995521.400024276.01001036.389999490.649994246.669998140.919998240.00...53.98558.65128.55147.11303.23161.66168.90222.78121.74284.14
2020-09-293335.46997159.470001164.809998529.030029276.92999336.169998493.480011247.449997138.550003240.12...52.19554.80127.49147.06304.15159.81168.50224.08120.33283.12
2020-09-303363.00000059.700001162.550003541.219971293.98001136.700001500.029999251.320007138.429993241.73...51.84563.55128.22148.88311.77160.18166.63225.99122.08277.56
2020-10-013380.80004959.680000168.490005544.580017290.04998836.369999527.510010253.449997138.220001242.15...50.28567.91128.04147.32313.07158.79167.65225.18121.78282.76
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1225 rows × 29 columns

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" + ], + "text/plain": [ + " Close ORCL SQ NVDA BABA \\\n", + "2015-11-19 2081.239990 36.108597 13.070000 30.458263 77.870003 \n", + "2015-11-20 2089.169922 36.404728 12.850000 30.722525 79.949997 \n", + "2015-11-23 2086.590088 36.219639 12.120000 30.262524 81.309998 \n", + "2015-11-24 2089.139893 36.515770 12.020000 30.507206 80.860001 \n", + "2015-11-25 2088.870117 36.330700 11.900000 30.468054 81.709999 \n", + "... ... ... ... ... ... \n", + "2020-09-25 3298.459961 59.799999 157.720001 514.950012 271.089996 \n", + "2020-09-28 3351.600098 59.580002 160.759995 521.400024 276.010010 \n", + "2020-09-29 3335.469971 59.470001 164.809998 529.030029 276.929993 \n", + "2020-09-30 3363.000000 59.700001 162.550003 541.219971 293.980011 \n", + "2020-10-01 3380.800049 59.680000 168.490005 544.580017 290.049988 \n", + "\n", + " PFE NFLX CRM GD AMT ... PSX \\\n", + "2015-11-19 27.049994 120.220001 80.639999 130.626297 99.63 ... 92.38 \n", + "2015-11-20 26.957846 123.839996 80.989998 130.896194 100.49 ... 91.67 \n", + "2015-11-23 26.245783 125.029999 80.779999 130.077530 99.94 ... 92.17 \n", + "2015-11-24 26.781923 123.309998 80.389999 130.923172 99.26 ... 93.13 \n", + "2015-11-25 27.535873 124.160004 80.410004 130.608292 99.09 ... 92.77 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-25 36.049999 482.880005 242.740005 138.210007 239.81 ... 52.88 \n", + "2020-09-28 36.389999 490.649994 246.669998 140.919998 240.00 ... 53.98 \n", + "2020-09-29 36.169998 493.480011 247.449997 138.550003 240.12 ... 52.19 \n", + "2020-09-30 36.700001 500.029999 251.320007 138.429993 241.73 ... 51.84 \n", + "2020-10-01 36.369999 527.510010 253.449997 138.220001 242.15 ... 50.28 \n", + "\n", + " BLK TROW JNJ UNH MMM UPS ACN PPG \\\n", + "2015-11-19 359.09 76.38 102.49 110.63 158.38 104.10 107.28 103.37 \n", + "2015-11-20 362.46 76.37 102.48 112.97 158.95 104.10 107.97 104.62 \n", + "2015-11-23 363.25 76.15 102.77 112.16 158.65 103.59 107.84 105.47 \n", + "2015-11-24 356.81 75.62 102.04 113.19 157.75 103.40 107.35 105.49 \n", + "2015-11-25 360.62 76.01 101.96 114.41 157.63 103.49 107.10 106.46 \n", + "... ... ... ... ... ... ... ... ... \n", + "2020-09-25 547.81 125.22 145.66 302.50 160.27 166.12 214.63 120.25 \n", + "2020-09-28 558.65 128.55 147.11 303.23 161.66 168.90 222.78 121.74 \n", + "2020-09-29 554.80 127.49 147.06 304.15 159.81 168.50 224.08 120.33 \n", + "2020-09-30 563.55 128.22 148.88 311.77 160.18 166.63 225.99 122.08 \n", + "2020-10-01 567.91 128.04 147.32 313.07 158.79 167.65 225.18 121.78 \n", + "\n", + " NEE \n", + "2015-11-19 100.99 \n", + "2015-11-20 101.02 \n", + "2015-11-23 100.49 \n", + "2015-11-24 99.41 \n", + "2015-11-25 98.88 \n", + "... ... \n", + "2020-09-25 281.82 \n", + "2020-09-28 284.14 \n", + "2020-09-29 283.12 \n", + "2020-09-30 277.56 \n", + "2020-10-01 282.76 \n", + "\n", + "[1225 rows x 29 columns]" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Now we will conacat the Newly Created SP500 DataFrame with the combined_2 Dataframe\n", + "\n", + "SP500_and_general_stock_picks = pd.concat([SP500_close_data, raw_portfolio_data], axis='columns', join='outer')\n", + "\n", + "SP500_and_general_stock_picks.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SP500ORCLSQNVDABABAPFENFLXCRMGDAMT...PSXBLKTROWJNJUNHMMMUPSACNPPGNEE
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1225 rows × 29 columns

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" + ], + "text/plain": [ + " SP500 ORCL SQ NVDA BABA \\\n", + "2015-11-19 2081.239990 36.108597 13.070000 30.458263 77.870003 \n", + "2015-11-20 2089.169922 36.404728 12.850000 30.722525 79.949997 \n", + "2015-11-23 2086.590088 36.219639 12.120000 30.262524 81.309998 \n", + "2015-11-24 2089.139893 36.515770 12.020000 30.507206 80.860001 \n", + "2015-11-25 2088.870117 36.330700 11.900000 30.468054 81.709999 \n", + "... ... ... ... ... ... \n", + "2020-09-25 3298.459961 59.799999 157.720001 514.950012 271.089996 \n", + "2020-09-28 3351.600098 59.580002 160.759995 521.400024 276.010010 \n", + "2020-09-29 3335.469971 59.470001 164.809998 529.030029 276.929993 \n", + "2020-09-30 3363.000000 59.700001 162.550003 541.219971 293.980011 \n", + "2020-10-01 3380.800049 59.680000 168.490005 544.580017 290.049988 \n", + "\n", + " PFE NFLX CRM GD AMT ... PSX \\\n", + "2015-11-19 27.049994 120.220001 80.639999 130.626297 99.63 ... 92.38 \n", + "2015-11-20 26.957846 123.839996 80.989998 130.896194 100.49 ... 91.67 \n", + "2015-11-23 26.245783 125.029999 80.779999 130.077530 99.94 ... 92.17 \n", + "2015-11-24 26.781923 123.309998 80.389999 130.923172 99.26 ... 93.13 \n", + "2015-11-25 27.535873 124.160004 80.410004 130.608292 99.09 ... 92.77 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-25 36.049999 482.880005 242.740005 138.210007 239.81 ... 52.88 \n", + "2020-09-28 36.389999 490.649994 246.669998 140.919998 240.00 ... 53.98 \n", + "2020-09-29 36.169998 493.480011 247.449997 138.550003 240.12 ... 52.19 \n", + "2020-09-30 36.700001 500.029999 251.320007 138.429993 241.73 ... 51.84 \n", + "2020-10-01 36.369999 527.510010 253.449997 138.220001 242.15 ... 50.28 \n", + "\n", + " BLK TROW JNJ UNH MMM UPS ACN PPG \\\n", + "2015-11-19 359.09 76.38 102.49 110.63 158.38 104.10 107.28 103.37 \n", + "2015-11-20 362.46 76.37 102.48 112.97 158.95 104.10 107.97 104.62 \n", + "2015-11-23 363.25 76.15 102.77 112.16 158.65 103.59 107.84 105.47 \n", + "2015-11-24 356.81 75.62 102.04 113.19 157.75 103.40 107.35 105.49 \n", + "2015-11-25 360.62 76.01 101.96 114.41 157.63 103.49 107.10 106.46 \n", + "... ... ... ... ... ... ... ... ... \n", + "2020-09-25 547.81 125.22 145.66 302.50 160.27 166.12 214.63 120.25 \n", + "2020-09-28 558.65 128.55 147.11 303.23 161.66 168.90 222.78 121.74 \n", + "2020-09-29 554.80 127.49 147.06 304.15 159.81 168.50 224.08 120.33 \n", + "2020-09-30 563.55 128.22 148.88 311.77 160.18 166.63 225.99 122.08 \n", + "2020-10-01 567.91 128.04 147.32 313.07 158.79 167.65 225.18 121.78 \n", + "\n", + " NEE \n", + "2015-11-19 100.99 \n", + "2015-11-20 101.02 \n", + "2015-11-23 100.49 \n", + "2015-11-24 99.41 \n", + "2015-11-25 98.88 \n", + "... ... \n", + "2020-09-25 281.82 \n", + "2020-09-28 284.14 \n", + "2020-09-29 283.12 \n", + "2020-09-30 277.56 \n", + "2020-10-01 282.76 \n", + "\n", + "[1225 rows x 29 columns]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Fixing the df column so that it reads SP500 instead of Close\n", + "column_names = SP500_and_general_stock_picks.columns.values\n", + "column_names[0] = 'SP500'\n", + "SP500_and_general_stock_picks.columns = column_names\n", + "\n", + "\n", + "SP500_and_general_stock_picks.dropna(inplace=True)\n", + "\n", + "SP500_and_general_stock_picks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# General Calculations of the newly created DataFrame" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculating Daily Returns" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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2015-11-23-0.001235-0.005084-0.056809-0.0149730.017011-0.0264140.009609-0.002593-0.006254-0.005473...0.0054540.002180-0.0028810.002830-0.007170-0.001887-0.004899-0.0012040.008125-0.005246
2015-11-240.0012220.008176-0.0082510.008085-0.0055340.020428-0.013757-0.0048280.006501-0.006804...0.010416-0.017729-0.006960-0.0071030.009183-0.005673-0.001834-0.0045440.000190-0.010747
2015-11-25-0.000129-0.005068-0.009983-0.0012830.0105120.0281510.0068930.000249-0.002405-0.001713...-0.0038660.0106780.005157-0.0007840.010778-0.0007610.000870-0.0023290.009195-0.005331
2015-11-270.000594-0.0020380.0126050.008352-0.004039-0.0024340.010309-0.0054720.0026170.005954...-0.000108-0.006184-0.0007890.004021-0.0006120.0022840.0066670.003361-0.0023480.004956
..................................................................
2020-09-250.0159770.0084320.0355200.0425780.0050420.0081100.0207150.0218480.0095690.015370...0.0005680.0238480.0145020.0068430.033623-0.0009350.0355960.0009790.0109290.015421
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1224 rows × 29 columns

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" + ], + "text/plain": [ + " SP500 ORCL SQ NVDA BABA PFE \\\n", + "2015-11-20 0.003810 0.008201 -0.016832 0.008676 0.026711 -0.003407 \n", + "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973 0.017011 -0.026414 \n", + "2015-11-24 0.001222 0.008176 -0.008251 0.008085 -0.005534 0.020428 \n", + "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283 0.010512 0.028151 \n", + "2015-11-27 0.000594 -0.002038 0.012605 0.008352 -0.004039 -0.002434 \n", + "... ... ... ... ... ... ... \n", + "2020-09-25 0.015977 0.008432 0.035520 0.042578 0.005042 0.008110 \n", + "2020-09-28 0.016111 -0.003679 0.019275 0.012526 0.018149 0.009431 \n", + "2020-09-29 -0.004813 -0.001846 0.025193 0.014634 0.003333 -0.006046 \n", + "2020-09-30 0.008254 0.003867 -0.013713 0.023042 0.061568 0.014653 \n", + "2020-10-01 0.005293 -0.000335 0.036543 0.006208 -0.013368 -0.008992 \n", + "\n", + " NFLX CRM GD AMT ... PSX BLK \\\n", + "2015-11-20 0.030111 0.004340 0.002066 0.008632 ... -0.007686 0.009385 \n", + "2015-11-23 0.009609 -0.002593 -0.006254 -0.005473 ... 0.005454 0.002180 \n", + "2015-11-24 -0.013757 -0.004828 0.006501 -0.006804 ... 0.010416 -0.017729 \n", + "2015-11-25 0.006893 0.000249 -0.002405 -0.001713 ... -0.003866 0.010678 \n", + "2015-11-27 0.010309 -0.005472 0.002617 0.005954 ... -0.000108 -0.006184 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-25 0.020715 0.021848 0.009569 0.015370 ... 0.000568 0.023848 \n", + "2020-09-28 0.016091 0.016190 0.019608 0.000792 ... 0.020802 0.019788 \n", + "2020-09-29 0.005768 0.003162 -0.016818 0.000500 ... -0.033160 -0.006892 \n", + "2020-09-30 0.013273 0.015640 -0.000866 0.006705 ... -0.006706 0.015771 \n", + "2020-10-01 0.054957 0.008475 -0.001517 0.001737 ... -0.030093 0.007737 \n", + "\n", + " TROW JNJ UNH MMM UPS ACN \\\n", + "2015-11-20 -0.000131 -0.000098 0.021152 0.003599 0.000000 0.006432 \n", + "2015-11-23 -0.002881 0.002830 -0.007170 -0.001887 -0.004899 -0.001204 \n", + "2015-11-24 -0.006960 -0.007103 0.009183 -0.005673 -0.001834 -0.004544 \n", + "2015-11-25 0.005157 -0.000784 0.010778 -0.000761 0.000870 -0.002329 \n", + "2015-11-27 -0.000789 0.004021 -0.000612 0.002284 0.006667 0.003361 \n", + "... ... ... ... ... ... ... \n", + "2020-09-25 0.014502 0.006843 0.033623 -0.000935 0.035596 0.000979 \n", + "2020-09-28 0.026593 0.009955 0.002413 0.008673 0.016735 0.037972 \n", + "2020-09-29 -0.008246 -0.000340 0.003034 -0.011444 -0.002368 0.005835 \n", + "2020-09-30 0.005726 0.012376 0.025053 0.002315 -0.011098 0.008524 \n", + "2020-10-01 -0.001404 -0.010478 0.004170 -0.008678 0.006121 -0.003584 \n", + "\n", + " PPG NEE \n", + "2015-11-20 0.012092 0.000297 \n", + "2015-11-23 0.008125 -0.005246 \n", + "2015-11-24 0.000190 -0.010747 \n", + "2015-11-25 0.009195 -0.005331 \n", + "2015-11-27 -0.002348 0.004956 \n", + "... ... ... \n", + "2020-09-25 0.010929 0.015421 \n", + "2020-09-28 0.012391 0.008232 \n", + "2020-09-29 -0.011582 -0.003590 \n", + "2020-09-30 0.014543 -0.019638 \n", + "2020-10-01 -0.002457 0.018735 \n", + "\n", + "[1224 rows x 29 columns]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Calculating the % daily change of the SP500 + our stock picks\n", + "daily_returns_of_SP500_general_stock_picks = SP500_and_general_stock_picks.pct_change()\n", + "daily_returns_of_SP500_general_stock_picks.head()\n", + "\n", + "daily_returns_of_SP500_general_stock_picks.dropna(inplace=True)\n", + "\n", + "daily_returns_of_SP500_general_stock_picks" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SP500\n", + "ORCL\n", + "SQ\n", + "NVDA\n", + "BABA\n", + "PFE\n", + "NFLX\n", + "CRM\n", + "GD\n", + "AMT\n", + "HD\n", + "FB\n", + "MSFT\n", + "WMT\n", + "VZ\n", + "MCD\n", + "SBUX\n", + "CLX\n", + "COST\n", + "PSX\n", + "BLK\n", + "TROW\n", + "JNJ\n", + "UNH\n", + "MMM\n", + "UPS\n", + "ACN\n", + "PPG\n", + "NEE\n" + ] + } + ], + "source": [ + "for col in daily_returns_of_SP500_general_stock_picks.columns: \n", + " print(col)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculating Beta for each stock " + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "#Calculating covariance of the our stock portfolio of daily returns\n", + "\n", + "ORCL_covariance = daily_returns_of_SP500_general_stock_picks['ORCL'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "SQ_covariance = daily_returns_of_SP500_general_stock_picks['SQ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "NVDA_covariance = daily_returns_of_SP500_general_stock_picks['NVDA'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "BABA_covariance = daily_returns_of_SP500_general_stock_picks['BABA'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "PFE_covariance = daily_returns_of_SP500_general_stock_picks['PFE'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "NFLX_covariance = daily_returns_of_SP500_general_stock_picks['NFLX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "CRM_covariance = daily_returns_of_SP500_general_stock_picks['CRM'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "GD_covariance = daily_returns_of_SP500_general_stock_picks['GD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "AMT_covariance = daily_returns_of_SP500_general_stock_picks['AMT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "HD_covariance = daily_returns_of_SP500_general_stock_picks['HD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "FB_covariance = daily_returns_of_SP500_general_stock_picks['FB'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "MSFT_covariance = daily_returns_of_SP500_general_stock_picks['MSFT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "WMT_covariance = daily_returns_of_SP500_general_stock_picks['WMT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "VZ_covariance = daily_returns_of_SP500_general_stock_picks['VZ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "MCD_covariance = daily_returns_of_SP500_general_stock_picks['MCD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "SBUX_covariance = daily_returns_of_SP500_general_stock_picks['SBUX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "CLX_covariance = daily_returns_of_SP500_general_stock_picks['CLX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "COST_covariance = daily_returns_of_SP500_general_stock_picks['COST'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "PSX_covariance = daily_returns_of_SP500_general_stock_picks['PSX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "BLK_covariance = daily_returns_of_SP500_general_stock_picks['BLK'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "TROW_covariance = daily_returns_of_SP500_general_stock_picks['TROW'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "JNJ_covariance = daily_returns_of_SP500_general_stock_picks['JNJ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "UNH_covariance = daily_returns_of_SP500_general_stock_picks['UNH'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "MMM_covariance = daily_returns_of_SP500_general_stock_picks['MMM'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "UPS_covariance = daily_returns_of_SP500_general_stock_picks['UPS'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "ACN_covariance = daily_returns_of_SP500_general_stock_picks['ACN'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "PPG_covariance = daily_returns_of_SP500_general_stock_picks['PPG'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "NEE_covariance = daily_returns_of_SP500_general_stock_picks['NEE'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.00014785817616144565" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#calculating Variance of SP500\n", + "\n", + "variance = daily_returns_of_SP500_general_stock_picks['SP500'].var()\n", + "variance\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "#Calculating covariance of stocks used to determine which stocks will stay in our portfolio and which will be dropped\n", + "\n", + "ORCL_beta = ORCL_covariance / variance\n", + "SQ_beta = SQ_covariance / variance\n", + "BABA_beta = BABA_covariance / variance\n", + "PFE_beta = PFE_covariance / variance\n", + "NFLX_beta = NFLX_covariance / variance\n", + "CRM_beta = CRM_covariance / variance\n", + "GD_beta = GD_covariance / variance\n", + "AMT_beta = AMT_covariance / variance\n", + "HD_beta = HD_covariance / variance\n", + "FB_beta = FB_covariance / variance\n", + "MSFT_beta = MSFT_covariance / variance\n", + "WMT_beta = WMT_covariance / variance\n", + "VZ_beta = VZ_covariance / variance\n", + "MCD_beta = MCD_covariance / variance\n", + "SBUX_beta = SBUX_covariance / variance\n", + "CLX_beta = CLX_covariance / variance\n", + "COST_beta = COST_covariance / variance\n", + "PSX_beta = PSX_covariance / variance\n", + "BLK_beta = BLK_covariance / variance\n", + "TROW_beta = TROW_covariance / variance\n", + "JNJ_beta = JNJ_covariance / variance\n", + "UNH_beta = UNH_covariance / variance\n", + "MMM_beta = MMM_covariance / variance\n", + "UPS_beta = UPS_covariance / variance\n", + "ACN_beta = ACN_covariance / variance\n", + "PPG_beta = PPG_covariance / variance\n", + "NEE_beta = NEE_covariance / variance" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'ORCL': 0.9769549555886817,\n", + " 'SQ': 1.5733357802790633,\n", + " 'NVDA': 0.9769549555886817,\n", + " 'BABA': 0.9259970212008787,\n", + " 'PFE': 0.7086025412089901,\n", + " 'NFLX': 1.0012252752845145,\n", + " 'CRM': 1.1741466397375553,\n", + " 'GD': 0.9164540496291751,\n", + " 'AMT': 0.8211519138482752,\n", + " 'HD': 1.0441345895014473,\n", + " 'FB': 1.0632491001241937,\n", + " 'MSFT': 1.1997107974053545,\n", + " 'WMT': 0.5377679951870248,\n", + " 'VZ': 0.5170806353266986,\n", + " 'MCD': -0.031713051802039975,\n", + " 'SBUX': 1.001966415362131,\n", + " 'CLX': 0.34932730372514326,\n", + " 'COST': 0.652210226608838,\n", + " 'PSX': 1.210976849419251,\n", + " 'BLK': 1.2445144852629633,\n", + " 'TROW': 1.2107585898939726,\n", + " 'JNJ': 0.6636170131399196,\n", + " 'UNH': 1.0346792426874538,\n", + " 'MMM': 0.9011592323738653,\n", + " 'UPS': 0.8359317125085839,\n", + " 'ACN': 1.0574321882503792,\n", + " 'PPG': 0.9746945125982714,\n", + " 'NEE': 0.6773761086824459}" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Sanity check of our Covariances by creating a dictionary to read the data\n", + "\n", + "beta = {\n", + " \"ORCL\": ORCL_beta,\n", + " \"SQ\" : SQ_beta,\n", + " \"NVDA\": ORCL_beta,\n", + " \"BABA\": BABA_beta,\n", + " \"PFE\": PFE_beta,\n", + " \"NFLX\": NFLX_beta,\n", + " \"CRM\": CRM_beta,\n", + " \"GD\": GD_beta,\n", + " \"AMT\": AMT_beta,\n", + " \"HD\": HD_beta,\n", + " \"FB\": FB_beta,\n", + " \"MSFT\": MSFT_beta,\n", + " \"WMT\": WMT_beta,\n", + " \"VZ\": VZ_beta,\n", + " \"MCD\": MCD_beta,\n", + " \"SBUX\": SBUX_beta,\n", + " \"CLX\": CLX_beta,\n", + " \"COST\": COST_beta,\n", + " \"PSX\": PSX_beta,\n", + " \"BLK\": BLK_beta,\n", + " \"TROW\": TROW_beta,\n", + " \"JNJ\": JNJ_beta,\n", + " \"UNH\": UNH_beta,\n", + " \"MMM\": MMM_beta,\n", + " \"UPS\": UPS_beta,\n", + " \"ACN\": ACN_beta,\n", + " \"PPG\": PPG_beta,\n", + " \"NEE\": NEE_beta\n", + "}\n", + "\n", + "beta" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MCD -0.031713051802039975\n", + "CLX 0.34932730372514326\n", + "VZ 0.5170806353266986\n", + "WMT 0.5377679951870248\n", + "COST 0.652210226608838\n", + "JNJ 0.6636170131399196\n", + "NEE 0.6773761086824459\n", + "PFE 0.7086025412089901\n", + "AMT 0.8211519138482752\n", + "UPS 0.8359317125085839\n", + "MMM 0.9011592323738653\n", + "GD 0.9164540496291751\n", + "BABA 0.9259970212008787\n", + "PPG 0.9746945125982714\n", + "ORCL 0.9769549555886817\n", + "NVDA 0.9769549555886817\n", + "NFLX 1.0012252752845145\n", + "SBUX 1.001966415362131\n", + "UNH 1.0346792426874538\n", + "HD 1.0441345895014473\n", + "ACN 1.0574321882503792\n", + "FB 1.0632491001241937\n", + "CRM 1.1741466397375553\n", + "MSFT 1.1997107974053545\n", + "TROW 1.2107585898939726\n", + "PSX 1.210976849419251\n", + "BLK 1.2445144852629633\n", + "SQ 1.5733357802790633\n" + ] + } + ], + "source": [ + "#Sorting Beta from lowest to highest\n", + "\n", + "sorted_beta = sorted(beta.items(),key=lambda x: x[1], reverse=False)\n", + "\n", + "for i in sorted_beta: print(i[0], i[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Calculating Correlation of S&P500 to Our Stock Picks" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SP500ORCLSQNVDABABAPFENFLXCRMGDAMT...PSXBLKTROWJNJUNHMMMUPSACNPPGNEE
SP5001.0000000.7172140.5673020.6197050.5505550.6308650.4770130.6616070.7182110.610404...0.6781140.8204460.8000110.6438080.7082310.7055860.6335690.8080550.6986290.562373
ORCL0.7172141.0000000.3869580.4405050.4014090.4896460.3686660.5196280.4914600.449295...0.4695040.5747670.6185540.4999770.4623370.4939650.4879370.5912310.4657080.397040
SQ0.5673020.3869581.0000000.4976700.4352550.2667980.4069670.5228060.3527060.308892...0.3521320.4319330.4096160.2428640.3781670.3195260.3338390.4596970.3715280.277875
NVDA0.6197050.4405050.4976701.0000000.5112040.3029710.4328340.5180640.3818140.317262...0.3375030.4805090.4463150.3216770.4099630.4288780.3948180.4824390.3817510.273910
BABA0.5505550.4014090.4352550.5112041.0000000.2719290.4241420.4591820.3516600.256468...0.3243860.4545190.4110060.2813820.3225090.3698620.3505880.4434880.3867160.163250
PFE0.6308650.4896460.2667980.3029710.2719291.0000000.2552310.3432710.4712870.426877...0.3984280.5051230.5355800.6038700.5055400.4743530.4262250.4772710.3944580.411663
NFLX0.4770130.3686660.4069670.4328340.4241420.2552311.0000000.5175180.2699760.224412...0.2086100.3439550.3360510.2332850.3374980.2687990.3026490.3782770.2369550.150619
CRM0.6616070.5196280.5228060.5180640.4591820.3432710.5175181.0000000.3907460.385774...0.3642460.5176190.4828990.3506790.4265610.3807710.3606560.5731530.3976260.297884
GD0.7182110.4914600.3527060.3818140.3516600.4712870.2699760.3907461.0000000.433965...0.5754440.6326790.6377200.4638090.5156480.6128090.4924060.5857830.5815160.422481
AMT0.6104040.4492950.3088920.3172620.2564680.4268770.2244120.3857740.4339651.000000...0.3660280.4875500.4497160.4918960.4696920.3752330.3619740.5405750.4055840.637052
HD0.7853530.5416720.4502870.4984250.3657000.4745780.3569240.5336270.5631250.492019...0.4828090.6441940.5853380.4557670.5573550.5440810.4974120.6581390.5700220.475322
FB0.6321760.4573220.4368000.4833700.4710060.3245690.4728480.5595510.3464510.354050...0.3625570.4529980.4639540.3349780.3969610.3640970.3677970.5172540.3558630.290893
MSFT0.8358360.6467690.5437340.6057230.5436350.4856010.5247010.6895520.4996360.499342...0.4799770.6448170.6205360.5196890.5640420.5150090.4787630.7040620.4883880.440207
WMT0.4618160.3959120.1878750.2778490.1866340.3803530.2399780.2604760.2930140.348438...0.2125990.3380670.4065920.3998550.3325210.3178870.3492540.3604910.2186430.367207
VZ0.5128570.3868230.1394780.2071640.1495800.4292500.1292820.2195090.3810990.416023...0.3352140.3911620.4141180.4799110.3828850.3842240.3491150.4114530.3069640.484738
MCD-0.032453-0.0036820.0277550.0102670.017631-0.038825-0.0160890.010782-0.054651-0.045105...-0.006914-0.029351-0.044150-0.059683-0.009430-0.030565-0.067445-0.037118-0.026569-0.073236
SBUX0.7113530.5271040.3904640.3845160.3432420.4016400.2853260.4572960.4943610.480262...0.4983750.5899110.5219280.4353210.4985970.4959050.4174400.6147690.5219760.428090
CLX0.3097050.2604730.0756740.1622120.0618950.2912190.1245400.1628810.1898590.350655...0.0843400.2294080.2631700.3667330.2156920.2094130.2323190.2723670.1276190.409847
COST0.5857110.4263800.2922540.3588690.2672410.4127930.3125320.3629220.3793360.375531...0.2861910.4421510.4871090.4728840.4195670.4038510.4363470.4777490.3242100.351795
PSX0.6781140.4695040.3521320.3375030.3243860.3984280.2086100.3642460.5754440.366028...1.0000000.5481500.5703400.3738610.4597190.5130940.4021710.5318340.5712920.346682
BLK0.8204460.5747670.4319330.4805090.4545190.5051230.3439550.5176190.6326790.487550...0.5481501.0000000.7755320.5382970.5733210.6152390.5299920.6799910.6247270.430124
TROW0.8000110.6185540.4096160.4463150.4110060.5355800.3360510.4828990.6377200.449716...0.5703400.7755321.0000000.5098980.5316810.6034280.5804350.6345100.5313710.380660
JNJ0.6438080.4999770.2428640.3216770.2813820.6038700.2332850.3506790.4638090.491896...0.3738610.5382970.5098981.0000000.5178970.5172490.4231470.5193260.3923770.479065
UNH0.7082310.4623370.3781670.4099630.3225090.5055400.3374980.4265610.5156480.469692...0.4597190.5733210.5316810.5178971.0000000.4972790.4340740.5354680.4969140.454074
MMM0.7055860.4939650.3195260.4288780.3698620.4743530.2687990.3807710.6128090.375233...0.5130940.6152390.6034280.5172490.4972791.0000000.5447380.5777080.5640330.362342
UPS0.6335690.4879370.3338390.3948180.3505880.4262250.3026490.3606560.4924060.361974...0.4021710.5299920.5804350.4231470.4340740.5447381.0000000.4963210.4480700.328822
ACN0.8080550.5912310.4596970.4824390.4434880.4772710.3782770.5731530.5857830.540575...0.5318340.6799910.6345100.5193260.5354680.5777080.4963211.0000000.5817410.465686
PPG0.6986290.4657080.3715280.3817510.3867160.3944580.2369550.3976260.5815160.405584...0.5712920.6247270.5313710.3923770.4969140.5640330.4480700.5817411.0000000.338004
NEE0.5623730.3970400.2778750.2739100.1632500.4116630.1506190.2978840.4224810.637052...0.3466820.4301240.3806600.4790650.4540740.3623420.3288220.4656860.3380041.000000
\n", + "

29 rows × 29 columns

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" + ], + "text/plain": [ + " SP500 ORCL SQ NVDA BABA PFE NFLX \\\n", + "SP500 1.000000 0.717214 0.567302 0.619705 0.550555 0.630865 0.477013 \n", + "ORCL 0.717214 1.000000 0.386958 0.440505 0.401409 0.489646 0.368666 \n", + "SQ 0.567302 0.386958 1.000000 0.497670 0.435255 0.266798 0.406967 \n", + "NVDA 0.619705 0.440505 0.497670 1.000000 0.511204 0.302971 0.432834 \n", + "BABA 0.550555 0.401409 0.435255 0.511204 1.000000 0.271929 0.424142 \n", + "PFE 0.630865 0.489646 0.266798 0.302971 0.271929 1.000000 0.255231 \n", + "NFLX 0.477013 0.368666 0.406967 0.432834 0.424142 0.255231 1.000000 \n", + "CRM 0.661607 0.519628 0.522806 0.518064 0.459182 0.343271 0.517518 \n", + "GD 0.718211 0.491460 0.352706 0.381814 0.351660 0.471287 0.269976 \n", + "AMT 0.610404 0.449295 0.308892 0.317262 0.256468 0.426877 0.224412 \n", + "HD 0.785353 0.541672 0.450287 0.498425 0.365700 0.474578 0.356924 \n", + "FB 0.632176 0.457322 0.436800 0.483370 0.471006 0.324569 0.472848 \n", + "MSFT 0.835836 0.646769 0.543734 0.605723 0.543635 0.485601 0.524701 \n", + "WMT 0.461816 0.395912 0.187875 0.277849 0.186634 0.380353 0.239978 \n", + "VZ 0.512857 0.386823 0.139478 0.207164 0.149580 0.429250 0.129282 \n", + "MCD -0.032453 -0.003682 0.027755 0.010267 0.017631 -0.038825 -0.016089 \n", + "SBUX 0.711353 0.527104 0.390464 0.384516 0.343242 0.401640 0.285326 \n", + "CLX 0.309705 0.260473 0.075674 0.162212 0.061895 0.291219 0.124540 \n", + "COST 0.585711 0.426380 0.292254 0.358869 0.267241 0.412793 0.312532 \n", + "PSX 0.678114 0.469504 0.352132 0.337503 0.324386 0.398428 0.208610 \n", + "BLK 0.820446 0.574767 0.431933 0.480509 0.454519 0.505123 0.343955 \n", + "TROW 0.800011 0.618554 0.409616 0.446315 0.411006 0.535580 0.336051 \n", + "JNJ 0.643808 0.499977 0.242864 0.321677 0.281382 0.603870 0.233285 \n", + "UNH 0.708231 0.462337 0.378167 0.409963 0.322509 0.505540 0.337498 \n", + "MMM 0.705586 0.493965 0.319526 0.428878 0.369862 0.474353 0.268799 \n", + "UPS 0.633569 0.487937 0.333839 0.394818 0.350588 0.426225 0.302649 \n", + "ACN 0.808055 0.591231 0.459697 0.482439 0.443488 0.477271 0.378277 \n", + "PPG 0.698629 0.465708 0.371528 0.381751 0.386716 0.394458 0.236955 \n", + "NEE 0.562373 0.397040 0.277875 0.273910 0.163250 0.411663 0.150619 \n", + "\n", + " CRM GD AMT ... PSX BLK TROW \\\n", + "SP500 0.661607 0.718211 0.610404 ... 0.678114 0.820446 0.800011 \n", + "ORCL 0.519628 0.491460 0.449295 ... 0.469504 0.574767 0.618554 \n", + "SQ 0.522806 0.352706 0.308892 ... 0.352132 0.431933 0.409616 \n", + "NVDA 0.518064 0.381814 0.317262 ... 0.337503 0.480509 0.446315 \n", + "BABA 0.459182 0.351660 0.256468 ... 0.324386 0.454519 0.411006 \n", + "PFE 0.343271 0.471287 0.426877 ... 0.398428 0.505123 0.535580 \n", + "NFLX 0.517518 0.269976 0.224412 ... 0.208610 0.343955 0.336051 \n", + "CRM 1.000000 0.390746 0.385774 ... 0.364246 0.517619 0.482899 \n", + "GD 0.390746 1.000000 0.433965 ... 0.575444 0.632679 0.637720 \n", + "AMT 0.385774 0.433965 1.000000 ... 0.366028 0.487550 0.449716 \n", + "HD 0.533627 0.563125 0.492019 ... 0.482809 0.644194 0.585338 \n", + "FB 0.559551 0.346451 0.354050 ... 0.362557 0.452998 0.463954 \n", + "MSFT 0.689552 0.499636 0.499342 ... 0.479977 0.644817 0.620536 \n", + "WMT 0.260476 0.293014 0.348438 ... 0.212599 0.338067 0.406592 \n", + "VZ 0.219509 0.381099 0.416023 ... 0.335214 0.391162 0.414118 \n", + "MCD 0.010782 -0.054651 -0.045105 ... -0.006914 -0.029351 -0.044150 \n", + "SBUX 0.457296 0.494361 0.480262 ... 0.498375 0.589911 0.521928 \n", + "CLX 0.162881 0.189859 0.350655 ... 0.084340 0.229408 0.263170 \n", + "COST 0.362922 0.379336 0.375531 ... 0.286191 0.442151 0.487109 \n", + "PSX 0.364246 0.575444 0.366028 ... 1.000000 0.548150 0.570340 \n", + "BLK 0.517619 0.632679 0.487550 ... 0.548150 1.000000 0.775532 \n", + "TROW 0.482899 0.637720 0.449716 ... 0.570340 0.775532 1.000000 \n", + "JNJ 0.350679 0.463809 0.491896 ... 0.373861 0.538297 0.509898 \n", + "UNH 0.426561 0.515648 0.469692 ... 0.459719 0.573321 0.531681 \n", + "MMM 0.380771 0.612809 0.375233 ... 0.513094 0.615239 0.603428 \n", + "UPS 0.360656 0.492406 0.361974 ... 0.402171 0.529992 0.580435 \n", + "ACN 0.573153 0.585783 0.540575 ... 0.531834 0.679991 0.634510 \n", + "PPG 0.397626 0.581516 0.405584 ... 0.571292 0.624727 0.531371 \n", + "NEE 0.297884 0.422481 0.637052 ... 0.346682 0.430124 0.380660 \n", + "\n", + " JNJ UNH MMM UPS ACN PPG NEE \n", + "SP500 0.643808 0.708231 0.705586 0.633569 0.808055 0.698629 0.562373 \n", + "ORCL 0.499977 0.462337 0.493965 0.487937 0.591231 0.465708 0.397040 \n", + "SQ 0.242864 0.378167 0.319526 0.333839 0.459697 0.371528 0.277875 \n", + "NVDA 0.321677 0.409963 0.428878 0.394818 0.482439 0.381751 0.273910 \n", + "BABA 0.281382 0.322509 0.369862 0.350588 0.443488 0.386716 0.163250 \n", + "PFE 0.603870 0.505540 0.474353 0.426225 0.477271 0.394458 0.411663 \n", + "NFLX 0.233285 0.337498 0.268799 0.302649 0.378277 0.236955 0.150619 \n", + "CRM 0.350679 0.426561 0.380771 0.360656 0.573153 0.397626 0.297884 \n", + "GD 0.463809 0.515648 0.612809 0.492406 0.585783 0.581516 0.422481 \n", + "AMT 0.491896 0.469692 0.375233 0.361974 0.540575 0.405584 0.637052 \n", + "HD 0.455767 0.557355 0.544081 0.497412 0.658139 0.570022 0.475322 \n", + "FB 0.334978 0.396961 0.364097 0.367797 0.517254 0.355863 0.290893 \n", + "MSFT 0.519689 0.564042 0.515009 0.478763 0.704062 0.488388 0.440207 \n", + "WMT 0.399855 0.332521 0.317887 0.349254 0.360491 0.218643 0.367207 \n", + "VZ 0.479911 0.382885 0.384224 0.349115 0.411453 0.306964 0.484738 \n", + "MCD -0.059683 -0.009430 -0.030565 -0.067445 -0.037118 -0.026569 -0.073236 \n", + "SBUX 0.435321 0.498597 0.495905 0.417440 0.614769 0.521976 0.428090 \n", + "CLX 0.366733 0.215692 0.209413 0.232319 0.272367 0.127619 0.409847 \n", + "COST 0.472884 0.419567 0.403851 0.436347 0.477749 0.324210 0.351795 \n", + "PSX 0.373861 0.459719 0.513094 0.402171 0.531834 0.571292 0.346682 \n", + "BLK 0.538297 0.573321 0.615239 0.529992 0.679991 0.624727 0.430124 \n", + "TROW 0.509898 0.531681 0.603428 0.580435 0.634510 0.531371 0.380660 \n", + "JNJ 1.000000 0.517897 0.517249 0.423147 0.519326 0.392377 0.479065 \n", + "UNH 0.517897 1.000000 0.497279 0.434074 0.535468 0.496914 0.454074 \n", + "MMM 0.517249 0.497279 1.000000 0.544738 0.577708 0.564033 0.362342 \n", + "UPS 0.423147 0.434074 0.544738 1.000000 0.496321 0.448070 0.328822 \n", + "ACN 0.519326 0.535468 0.577708 0.496321 1.000000 0.581741 0.465686 \n", + "PPG 0.392377 0.496914 0.564033 0.448070 0.581741 1.000000 0.338004 \n", + "NEE 0.479065 0.454074 0.362342 0.328822 0.465686 0.338004 1.000000 \n", + "\n", + "[29 rows x 29 columns]" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#calculating Correlation of portfolio stocks to the stock market\n", + "\n", + "correlation_of_portfolio = daily_returns_of_SP500_general_stock_picks.corr()\n", + "\n", + "correlation_of_portfolio" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#Visualization of the Correlations\n", + "\n", + "plt.subplots(figsize=(20,15))\n", + "sns.heatmap(correlation_of_portfolio);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Creating a Formula that will help us determine which stocks we will pick in our Portfolio" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Beta
Stock
ORCL0.976955
SQ1.573336
NVDA0.976955
BABA0.925997
PFE0.708603
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" + ], + "text/plain": [ + " Beta\n", + "Stock \n", + "ORCL 0.976955\n", + "SQ 1.573336\n", + "NVDA 0.976955\n", + "BABA 0.925997\n", + "PFE 0.708603" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Creating a df to compare beta and correlations\n", + "\n", + "raw_beta = {\n", + " \"ORCL\": ORCL_beta,\n", + " \"SQ\" : SQ_beta,\n", + " \"NVDA\": ORCL_beta,\n", + " \"BABA\": BABA_beta,\n", + " \"PFE\": PFE_beta,\n", + " \"NFLX\": NFLX_beta,\n", + " \"CRM\": CRM_beta,\n", + " \"GD\": GD_beta,\n", + " \"AMT\": AMT_beta,\n", + " \"HD\": HD_beta,\n", + " \"FB\": FB_beta,\n", + " \"MSFT\": MSFT_beta,\n", + " \"WMT\": WMT_beta,\n", + " \"VZ\": VZ_beta,\n", + " \"MCD\": MCD_beta,\n", + " \"SBUX\": SBUX_beta,\n", + " \"CLX\": CLX_beta,\n", + " \"COST\": COST_beta,\n", + " \"PSX\": PSX_beta,\n", + " \"BLK\": BLK_beta,\n", + " \"TROW\": TROW_beta,\n", + " \"JNJ\": JNJ_beta,\n", + " \"UNH\": UNH_beta,\n", + " \"MMM\": MMM_beta,\n", + " \"UPS\": UPS_beta,\n", + " \"ACN\": ACN_beta,\n", + " \"PPG\": PPG_beta,\n", + " \"NEE\": NEE_beta\n", + "}\n", + "beta_df = pd.DataFrame(list(raw_beta.items()),columns = ['Stock','Beta']) \n", + "\n", + "beta_df.set_index('Stock', inplace=True)\n", + "\n", + "beta_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SP500
SP5001.000000
ORCL0.717214
SQ0.567302
NVDA0.619705
BABA0.550555
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" + ], + "text/plain": [ + " SP500\n", + "SP500 1.000000\n", + "ORCL 0.717214\n", + "SQ 0.567302\n", + "NVDA 0.619705\n", + "BABA 0.550555" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#dropping excess correlations to show only correlation of Portfolio to SP500\n", + "\n", + "correlation_of_portfolio_only_to_SP500 = correlation_of_portfolio.drop(columns=['ORCL','SQ','NVDA','BABA','PFE','NFLX','CRM','GD','AMT','HD','FB','MSFT','WMT', 'VZ','MCD','SBUX','CLX','COST','PSX','BLK','TROW','JNJ','UNH','MMM','UPS','ACN','PPG','NEE'])\n", + "\n", + "correlation_of_portfolio_only_to_SP500.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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BetaSP500
ORCL0.9769550.717214
SQ1.5733360.567302
NVDA0.9769550.619705
BABA0.9259970.550555
PFE0.7086030.630865
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" + ], + "text/plain": [ + " Beta SP500\n", + "ORCL 0.976955 0.717214\n", + "SQ 1.573336 0.567302\n", + "NVDA 0.976955 0.619705\n", + "BABA 0.925997 0.550555\n", + "PFE 0.708603 0.630865" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#combining both df's\n", + "\n", + "correlation_beta_df = pd.concat([beta_df,correlation_of_portfolio_only_to_SP500], axis='columns', join='outer')\n", + "\n", + "correlation_beta_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "#creating our formula to decide how we choose stocks\n", + "\n", + "correlation_beta_df['Beta/SP500'] = correlation_beta_df['Beta']/correlation_beta_df['SP500']" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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BetaSP500Beta/SP500
ORCL0.9769550.7172141.362152
SQ1.5733360.5673022.773364
NVDA0.9769550.6197051.576484
BABA0.9259970.5505551.681935
PFE0.7086030.6308651.123225
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" + ], + "text/plain": [ + " Beta SP500 Beta/SP500\n", + "ORCL 0.976955 0.717214 1.362152\n", + "SQ 1.573336 0.567302 2.773364\n", + "NVDA 0.976955 0.619705 1.576484\n", + "BABA 0.925997 0.550555 1.681935\n", + "PFE 0.708603 0.630865 1.123225" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#implementing our formula\n", + "\n", + "\n", + "correlation_beta_df.dropna(inplace=True)\n", + "\n", + "correlation_beta_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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BetaSP500Beta/SP500
MCD-0.031713-0.0324530.977200
VZ0.5170810.5128571.008236
JNJ0.6636170.6438081.030768
COST0.6522100.5857111.113536
PFE0.7086030.6308651.123225
CLX0.3493270.3097051.127936
WMT0.5377680.4618161.164464
NEE0.6773760.5623731.204495
GD0.9164540.7182111.276024
MMM0.9011590.7055861.277179
ACN1.0574320.8080551.308614
UPS0.8359320.6335691.319401
HD1.0441350.7853531.329509
AMT0.8211520.6104041.345260
ORCL0.9769550.7172141.362152
PPG0.9746950.6986291.395153
SBUX1.0019660.7113531.408537
MSFT1.1997110.8358361.435343
UNH1.0346790.7082311.460935
TROW1.2107590.8000111.513428
BLK1.2445140.8204461.516876
NVDA0.9769550.6197051.576484
FB1.0632490.6321761.681887
BABA0.9259970.5505551.681935
CRM1.1741470.6616071.774688
PSX1.2109770.6781141.785802
NFLX1.0012250.4770132.098947
SQ1.5733360.5673022.773364
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" + ], + "text/plain": [ + " Beta SP500 Beta/SP500\n", + "MCD -0.031713 -0.032453 0.977200\n", + "VZ 0.517081 0.512857 1.008236\n", + "JNJ 0.663617 0.643808 1.030768\n", + "COST 0.652210 0.585711 1.113536\n", + "PFE 0.708603 0.630865 1.123225\n", + "CLX 0.349327 0.309705 1.127936\n", + "WMT 0.537768 0.461816 1.164464\n", + "NEE 0.677376 0.562373 1.204495\n", + "GD 0.916454 0.718211 1.276024\n", + "MMM 0.901159 0.705586 1.277179\n", + "ACN 1.057432 0.808055 1.308614\n", + "UPS 0.835932 0.633569 1.319401\n", + "HD 1.044135 0.785353 1.329509\n", + "AMT 0.821152 0.610404 1.345260\n", + "ORCL 0.976955 0.717214 1.362152\n", + "PPG 0.974695 0.698629 1.395153\n", + "SBUX 1.001966 0.711353 1.408537\n", + "MSFT 1.199711 0.835836 1.435343\n", + "UNH 1.034679 0.708231 1.460935\n", + "TROW 1.210759 0.800011 1.513428\n", + "BLK 1.244514 0.820446 1.516876\n", + "NVDA 0.976955 0.619705 1.576484\n", + "FB 1.063249 0.632176 1.681887\n", + "BABA 0.925997 0.550555 1.681935\n", + "CRM 1.174147 0.661607 1.774688\n", + "PSX 1.210977 0.678114 1.785802\n", + "NFLX 1.001225 0.477013 2.098947\n", + "SQ 1.573336 0.567302 2.773364" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Reading the data in ascending order\n", + "\n", + "correlation_beta_df.sort_values('Beta/SP500', ascending=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "From here we decided to use our new formula to pick the stocks with the highest numeric value. We did however take the executive decision to replace 2 stocks PSX with PFE and SBUX with COST. The reason behind this was because we did not believe in the reliability of energy sector and Costco seemed to have better future growth capabilities. Our portfolio consist of the following stocks: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ.\n" + ] + } + ], + "source": [ + "print(F\"From here we decided to use our new formula to pick the stocks with the highest numeric value. We did however take the executive decision to replace 2 stocks PSX with PFE and SBUX with COST. The reason behind this was because we did not believe in the reliability of energy sector and Costco seemed to have better future growth capabilities. Our portfolio consist of the following stocks: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Analyze the S&P500 with our Final Portfolio Positions" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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..................................................................
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2020-09-250.0159770.0084320.0355200.0425780.0050420.0081100.0207150.0218480.0153700.0212000.022787-0.0127380.0238480.0145020.0336230.010929
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1224 rows × 16 columns

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" + ], + "text/plain": [ + " SP500 ORCL SQ NVDA BABA PFE \\\n", + "2015-11-20 0.003810 0.008201 -0.016832 0.008676 0.026711 -0.003407 \n", + "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973 0.017011 -0.026414 \n", + "2015-11-24 0.001222 0.008176 -0.008251 0.008085 -0.005534 0.020428 \n", + "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283 0.010512 0.028151 \n", + "2015-11-27 0.000594 -0.002038 0.012605 0.008352 -0.004039 -0.002434 \n", + "... ... ... ... ... ... ... \n", + "2020-09-25 0.015977 0.008432 0.035520 0.042578 0.005042 0.008110 \n", + "2020-09-28 0.016111 -0.003679 0.019275 0.012526 0.018149 0.009431 \n", + "2020-09-29 -0.004813 -0.001846 0.025193 0.014634 0.003333 -0.006046 \n", + "2020-09-30 0.008254 0.003867 -0.013713 0.023042 0.061568 0.014653 \n", + "2020-10-01 0.005293 -0.000335 0.036543 0.006208 -0.013368 -0.008992 \n", + "\n", + " NFLX CRM AMT FB MSFT COST \\\n", + "2015-11-20 0.030111 0.004340 0.008632 0.009976 0.004635 0.001658 \n", + "2015-11-23 0.009609 -0.002593 -0.005473 -0.003448 0.000000 0.002146 \n", + "2015-11-24 -0.013757 -0.004828 -0.006804 -0.011314 0.001107 -0.007709 \n", + "2015-11-25 0.006893 0.000249 -0.001713 -0.003121 -0.010323 0.001233 \n", + "2015-11-27 0.010309 -0.005472 0.005954 0.000379 0.004470 0.007328 \n", + "... ... ... ... ... ... ... \n", + "2020-09-25 0.020715 0.021848 0.015370 0.021200 0.022787 -0.012738 \n", + "2020-09-28 0.016091 0.016190 0.000792 0.007849 0.007795 0.020550 \n", + "2020-09-29 0.005768 0.003162 0.000500 0.019352 -0.010409 0.007208 \n", + "2020-09-30 0.013273 0.015640 0.006705 0.000420 0.014812 0.008122 \n", + "2020-10-01 0.054957 0.008475 0.001737 0.018060 0.010127 0.009746 \n", + "\n", + " BLK TROW UNH PPG \n", + "2015-11-20 0.009385 -0.000131 0.021152 0.012092 \n", + "2015-11-23 0.002180 -0.002881 -0.007170 0.008125 \n", + "2015-11-24 -0.017729 -0.006960 0.009183 0.000190 \n", + "2015-11-25 0.010678 0.005157 0.010778 0.009195 \n", + "2015-11-27 -0.006184 -0.000789 -0.000612 -0.002348 \n", + "... ... ... ... ... \n", + "2020-09-25 0.023848 0.014502 0.033623 0.010929 \n", + "2020-09-28 0.019788 0.026593 0.002413 0.012391 \n", + "2020-09-29 -0.006892 -0.008246 0.003034 -0.011582 \n", + "2020-09-30 0.015771 0.005726 0.025053 0.014543 \n", + "2020-10-01 0.007737 -0.001404 0.004170 -0.002457 \n", + "\n", + "[1224 rows x 16 columns]" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Drop stocks that are not being used in our portfolio\n", + "#Keep the following: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ\n", + "\n", + "Portfolio_returns= daily_returns.drop(columns=['GD','HD','WMT', 'VZ','MCD','SBUX','CLX','PSX','JNJ','MMM','UPS','ACN','NEE'])\n", + "\n", + "Core_returns= Portfolio_returns\n", + "\n", + "Core_returns" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SP500ORCLSQNVDABABAPFENFLXCRMAMTFBMSFTCOSTBLKTROWUNHPPG
SP5001.0000000.7172140.5673020.6197050.5505550.6308650.4770130.6616070.6104040.6321760.8358360.5857110.8204460.8000110.7082310.698629
ORCL0.7172141.0000000.3869580.4405050.4014090.4896460.3686660.5196280.4492950.4573220.6467690.4263800.5747670.6185540.4623370.465708
SQ0.5673020.3869581.0000000.4976700.4352550.2667980.4069670.5228060.3088920.4368000.5437340.2922540.4319330.4096160.3781670.371528
NVDA0.6197050.4405050.4976701.0000000.5112040.3029710.4328340.5180640.3172620.4833700.6057230.3588690.4805090.4463150.4099630.381751
BABA0.5505550.4014090.4352550.5112041.0000000.2719290.4241420.4591820.2564680.4710060.5436350.2672410.4545190.4110060.3225090.386716
PFE0.6308650.4896460.2667980.3029710.2719291.0000000.2552310.3432710.4268770.3245690.4856010.4127930.5051230.5355800.5055400.394458
NFLX0.4770130.3686660.4069670.4328340.4241420.2552311.0000000.5175180.2244120.4728480.5247010.3125320.3439550.3360510.3374980.236955
CRM0.6616070.5196280.5228060.5180640.4591820.3432710.5175181.0000000.3857740.5595510.6895520.3629220.5176190.4828990.4265610.397626
AMT0.6104040.4492950.3088920.3172620.2564680.4268770.2244120.3857741.0000000.3540500.4993420.3755310.4875500.4497160.4696920.405584
FB0.6321760.4573220.4368000.4833700.4710060.3245690.4728480.5595510.3540501.0000000.6290710.3331090.4529980.4639540.3969610.355863
MSFT0.8358360.6467690.5437340.6057230.5436350.4856010.5247010.6895520.4993420.6290711.0000000.5347790.6448170.6205360.5640420.488388
COST0.5857110.4263800.2922540.3588690.2672410.4127930.3125320.3629220.3755310.3331090.5347791.0000000.4421510.4871090.4195670.324210
BLK0.8204460.5747670.4319330.4805090.4545190.5051230.3439550.5176190.4875500.4529980.6448170.4421511.0000000.7755320.5733210.624727
TROW0.8000110.6185540.4096160.4463150.4110060.5355800.3360510.4828990.4497160.4639540.6205360.4871090.7755321.0000000.5316810.531371
UNH0.7082310.4623370.3781670.4099630.3225090.5055400.3374980.4265610.4696920.3969610.5640420.4195670.5733210.5316811.0000000.496914
PPG0.6986290.4657080.3715280.3817510.3867160.3944580.2369550.3976260.4055840.3558630.4883880.3242100.6247270.5313710.4969141.000000
\n", + "
" + ], + "text/plain": [ + " SP500 ORCL SQ NVDA BABA PFE NFLX \\\n", + "SP500 1.000000 0.717214 0.567302 0.619705 0.550555 0.630865 0.477013 \n", + "ORCL 0.717214 1.000000 0.386958 0.440505 0.401409 0.489646 0.368666 \n", + "SQ 0.567302 0.386958 1.000000 0.497670 0.435255 0.266798 0.406967 \n", + "NVDA 0.619705 0.440505 0.497670 1.000000 0.511204 0.302971 0.432834 \n", + "BABA 0.550555 0.401409 0.435255 0.511204 1.000000 0.271929 0.424142 \n", + "PFE 0.630865 0.489646 0.266798 0.302971 0.271929 1.000000 0.255231 \n", + "NFLX 0.477013 0.368666 0.406967 0.432834 0.424142 0.255231 1.000000 \n", + "CRM 0.661607 0.519628 0.522806 0.518064 0.459182 0.343271 0.517518 \n", + "AMT 0.610404 0.449295 0.308892 0.317262 0.256468 0.426877 0.224412 \n", + "FB 0.632176 0.457322 0.436800 0.483370 0.471006 0.324569 0.472848 \n", + "MSFT 0.835836 0.646769 0.543734 0.605723 0.543635 0.485601 0.524701 \n", + "COST 0.585711 0.426380 0.292254 0.358869 0.267241 0.412793 0.312532 \n", + "BLK 0.820446 0.574767 0.431933 0.480509 0.454519 0.505123 0.343955 \n", + "TROW 0.800011 0.618554 0.409616 0.446315 0.411006 0.535580 0.336051 \n", + "UNH 0.708231 0.462337 0.378167 0.409963 0.322509 0.505540 0.337498 \n", + "PPG 0.698629 0.465708 0.371528 0.381751 0.386716 0.394458 0.236955 \n", + "\n", + " CRM AMT FB MSFT COST BLK TROW \\\n", + "SP500 0.661607 0.610404 0.632176 0.835836 0.585711 0.820446 0.800011 \n", + "ORCL 0.519628 0.449295 0.457322 0.646769 0.426380 0.574767 0.618554 \n", + "SQ 0.522806 0.308892 0.436800 0.543734 0.292254 0.431933 0.409616 \n", + "NVDA 0.518064 0.317262 0.483370 0.605723 0.358869 0.480509 0.446315 \n", + "BABA 0.459182 0.256468 0.471006 0.543635 0.267241 0.454519 0.411006 \n", + "PFE 0.343271 0.426877 0.324569 0.485601 0.412793 0.505123 0.535580 \n", + "NFLX 0.517518 0.224412 0.472848 0.524701 0.312532 0.343955 0.336051 \n", + "CRM 1.000000 0.385774 0.559551 0.689552 0.362922 0.517619 0.482899 \n", + "AMT 0.385774 1.000000 0.354050 0.499342 0.375531 0.487550 0.449716 \n", + "FB 0.559551 0.354050 1.000000 0.629071 0.333109 0.452998 0.463954 \n", + "MSFT 0.689552 0.499342 0.629071 1.000000 0.534779 0.644817 0.620536 \n", + "COST 0.362922 0.375531 0.333109 0.534779 1.000000 0.442151 0.487109 \n", + "BLK 0.517619 0.487550 0.452998 0.644817 0.442151 1.000000 0.775532 \n", + "TROW 0.482899 0.449716 0.463954 0.620536 0.487109 0.775532 1.000000 \n", + "UNH 0.426561 0.469692 0.396961 0.564042 0.419567 0.573321 0.531681 \n", + "PPG 0.397626 0.405584 0.355863 0.488388 0.324210 0.624727 0.531371 \n", + "\n", + " UNH PPG \n", + "SP500 0.708231 0.698629 \n", + "ORCL 0.462337 0.465708 \n", + "SQ 0.378167 0.371528 \n", + "NVDA 0.409963 0.381751 \n", + "BABA 0.322509 0.386716 \n", + "PFE 0.505540 0.394458 \n", + "NFLX 0.337498 0.236955 \n", + "CRM 0.426561 0.397626 \n", + "AMT 0.469692 0.405584 \n", + "FB 0.396961 0.355863 \n", + "MSFT 0.564042 0.488388 \n", + "COST 0.419567 0.324210 \n", + "BLK 0.573321 0.624727 \n", + "TROW 0.531681 0.531371 \n", + "UNH 1.000000 0.496914 \n", + "PPG 0.496914 1.000000 " + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "correlation_of_final_positions= Core_returns.corr()\n", + "correlation_of_final_positions" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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AAADwDRQTAAAAgKUYcwAAAIB57OYwk84EAAAAYCmKCQAAAMBSjDkAAADAPMYcZtKZAAAAACxFMQEAAABYimICAAAAsBRrJgAAAMA8bc2EWXQmAAAAAEsZvTPhXnf46thfManjDjps6gijefnpz586wqie9eFfnzrCqH73tO39z++ogw+fOsKoDq/t2zi2p6ZOMK7bH7Rj6gijumdv3383k+T4XD91hFEdf8jdp44wmnv17aeOMKovlp8BbmX/lBunjgD73Pb+LwIAAAC4LWwNOZMSJwAAALAUxQQAAABgKcYcAAAAYJ7uqROsJJ0JAAAAwFIUEwAAAIClGHMAAACAeezmMJPOBAAAAGApigkAAADAUow5AAAAwDzGHGbSmQAAAAAsRTEBAAAAWIpiAgAAALAUayYAAADAPG3NhFl0JgAAAABLUUwAAAAAlmLMAQAAAObotZ46wkrSmQAAAAAsRTEBAAAAWIoxBwAAAJhnzW4Os+hMAAAAAJaimAAAAAAsxZgDAAAAzNPGHGb5pjoTquo7q+oV+zoMAAAAsPpudWdCVZ2a5MlJfjTJ5UneOFYoAAAAYHUtLCZU1f2TPDHJk5J8IckfJanu/u6Bz+1MsjNJfvWoB+Vxd7rvPgkLAAAA+9VaT51gJQ11Jnw8yXuTPLq7L02Sqvr5oYd2964ku5Lkb+59lt95AAAA2EaG1kx4XJLPJPmLqnpVVT0iSY0fCwAAAFhVCzsTuvtNSd5UVXdM8m+T/HySo6vqlUne1N3v2A8ZAQAAYBprdnOY5Vbt5tDd13X3H3T3o5Icm+TCJM8ZNRkAAACwkgZ3c6iq2yX5gSQnb1z6WJLXdPfvjhkMAAAAWE0LOxOq6l5JLk7yi0nuleSYJL+U5OKquuf48QAAAIBVM9SZ8JtJXtnd/23zxap6VpIXJfnxsYIBAADA5KyZMNNQMeE7uvsn9r7Y3S+vqkvGiQQAAACssqEFGK9fcO+r+zIIAAAAsDUMdSYcUVWPnXG9ktx5hDwAAACwOrqnTrCShooJ707y6Dn33rOPswAAAABbwFAx4Tnd/dn9kgQAAADYEoaKCX9bVR9Jcm6SN3T3NfshEwAAAKwGuznMNLQA4zFJXpLku5L8fVW9uaqeUFWHjh8NAAAAWEULiwndvae7397dT01yXJLfS/Jvk1xeVX+wPwICAAAAq2VozOFruvvGqvpoko8l+fYkDxgtFQAAAKyCNbs5zDI05pCqundV/VJVfTjJW5LsSHJWd582ejoAAABg5SzsTKiq92V93YT/nmRnd+/eL6kAAACAlTU05vArSd7T3fo6AAAAOPC03RxmGSomPDzJv6mqWfe6u39jnycCAAAAVtpQMeErM64dluTpSe6aRDEBAAAADjALiwnd/dJbjqvq8CTPTvK0JK9P8tJ5nwMAAAC2r8GtIavqLkl+IcmPJfn9JKd395fGDgYAAACTszXkTEO7Obw4yWOT7Erybd09a+wBAAAAOIAMdSb8YpIbkjwvya9uWoixsr4A452HvuDSm+50mwKuus8ffN3UEUZz80HbuwL3u6c9f+oIo/rpv/n1qSOM6j+d+ENTRxjVTdm+qwZfvmPP1BFGdcWXPj91hFHdcMgJU0cY1eU5dOoIo7royx+dOsJoTjvqrlNHGNXVfePUEUZ10Q2fnTrCqO578F2mjgD73NCaCQftryAAAACwanpt+/6Q57ZQLAAAAACWopgAAAAA21hVnVlVl1TVpVX1nBn3j6iq/6+q/raqLq6qpw49c3A3BwAAADhgbfHdHKpqR5JXJHlkkiuTXFBV53X35oV0fibJR7v70VV19ySXVNUfdM9fsEVnAgAAAGxfD0lyaXdftlEceH2Ss/Z6Tyc5vNZ3XbhTki8muXnRQxUTAAAAYPs6JskVm86v3Li22e8k+dYkVyX5SJJnd/fClSeNOQAAAMA8i/9OvRKqameSnZsu7eruXbfcnvGRvWc3vj/JhUm+J8n9kvx5Vb23u6+d952KCQAAALCFbRQOds25fWWS4zadH5v1DoTNnprkRd3dSS6tqsuTnJzkg/O+05gDAAAAbF8XJDmpqo6vqoOTPDHJeXu951NJHpEkVXV0kv8tyWWLHqozAQAAAObZ4rs5dPfNVfXMJG9PsiPJOd19cVU9Y+P+2Ul+I8lrq+ojWR+L+OXuvnrRcxUTAAAAYBvr7vOTnL/XtbM3HV+V5PuWeaYxBwAAAGApOhMAAABgnrXV381hCjoTAAAAgKUoJgAAAABLUUwAAAAAlmLNBAAAAJhni28NORadCQAAAMBSFBMAAACApRhzAAAAgHna1pCz6EwAAAAAlqKYAAAAACzFmAMAAADMYzeHmb7pzoSqevC+DAIAAABsDUt1JlTVA5I8McmTklyT5IwxQgEAAACra7CYUFX3yXrx4ElJbk5ynyRndPcnFnxmZ5KdSbLzzg/J9x524j4JCwAAAPtTr9nNYZaFYw5V9b4k5ye5fZLHd/e3J/nyokJCknT3ru4+o7vPUEgAAACA7WVozYTPJzk8ydFJ7r5xzeoTAAAAcABbOObQ3WdV1RFJHpfk16rqxCRHVtVDuvuD+yUhAAAATMVuDjMNrpnQ3dckOSfJOVV1j6wvwPjfquq47j5u7IAAAADAallqa8ju/lx3v7y7/1WS/2OkTAAAAMAKG1qA8W5V9YKqelZV3amqXllVF1XVn2Z9UUYAAADgADPUmfCHSe6Q5KQkH0xyWZLHJ3lLklePGw0AAAAmttar/5rA0JoJR3f3c6uqknyyu1+8cf3jVfUzI2cDAAAAVtBQZ8KeJOnuTnL1XvfWRkkEAAAArLShzoQTquq8JLXpOBvnx4+aDAAAAKbWfo4+y1Ax4axNxy/Z697e5wAAAMABYGExobvfPet6VR2X5IlJZt4HAAAAtq+hzoSvqaq7JfmRJE9KckySN40VCgAAAFbCRLslrLqFxYSqOjzJY5I8Ocn9s15AOKG7j90P2QAAAIAVNNSZ8LkkH0zyvCR/1d1dVY8ZPxYAAACwqoaKCc/N+toIr0zyh1X1R+NHAgAAgNXQxhxmOmjRze7+r9390CQ/nPXtIN+c5F5V9ctVdf/9ERAAAABYLQuLCbfo7su6+4Xd/W1JHpzkyCRvHTUZAAAAsJJu9W4Om3w6yXO7+1f2dRgAAABYKcYcZlrYmVBV31FVf1lVb6yq06rqoiQXJflsVZ25fyICAAAAq2SoM+F3sr4I4xFJ3pXkB7r7A1V1cpJzk7xt5HwAAADAihlaM+F23f2O7v6TJJ/p7g8kSXd/fPxoAAAAwCoa6kxY23R8/V73DI4AAACwva2tDb/nADRUTDilqq7N+raQh24cZ+P8kFGTAQAAACtpYTGhu3fc1i/41kOvua2PWGmn7Dly6gijeemXLpg6wqiOOvjwqSOM6j+d+ENTRxjVFZf+2dQRRnWP+37f1BFG84Aj7j11hFE9/m6nTR1hVG+54ZNTRxjVoQffd+oIozrzqAdOHWE0x63d5v9sXWkP2nPY1BFGdcbBx08dYVR/VV+eOgLsc9/M1pAAAABwYLA15ExDCzACAAAAfAPFBAAAAGApxhwAAABgHmMOM+lMAAAAAJaimAAAAAAsxZgDAAAAzNFtzGEWnQkAAADAUhQTAAAAgKUYcwAAAIB57OYwk84EAAAAYCmKCQAAAMBSjDkAAADAPMYcZtKZAAAAACxFMQEAAABYimICAAAAsBRrJgAAAMAcbc2EmXQmAAAAAEtRTAAAAACWYswBAAAA5jHmMJPOBAAAAGApigkAAADAUow5AAAAwDxrUwdYTQs7E6rqezYdH7/XvceOFQoAAABYXUNjDi/ZdPyGve49bx9nAQAAALaAoWJCzTmedf71G1U7q2p3Ve3+k2s/9U2HAwAAgCn1Wq/8awpDxYSeczzr/Os3und19xndfcaP3Pne33Q4AAAAYPUMLcB4QlWdl/UuhFuOs3F+/PyPAQAAANvVUDHhrE3HL9nr3t7nAAAAsL1MNEaw6oaKCZd3t0UPAAAAgK8ZWjPhzbccVNXeuzkAAAAAB6BldnM4YcwgAAAAwNYwNOawaDcHAAAA2N7Wpg6wmoaKCadU1bVZ71A4dOM4G+fd3XceNR0AAACwchYWE7p7x/4KAgAAAGwNC4sJVXVIkmckOTHJ3yU5p7tv3h/BAAAAYGpta8iZhhZg/P0kZyT5SJIfTPLS0RMBAAAAK21ozYQHdPe3JUlVvSbJB8ePBAAAAKyyoWLCTbccdPfNVbXovQAAALC92M1hplu7m0PyjTs62M0BAAAADlB2cwAAAACWMtSZAAAAAAcsuznMNrSbAwAAAMA3UEwAAAAAlmLMAQAAAOaxm8NMOhMAAACApSgmAAAAAEsx5gAAAABztDGHmXQmAAAAAEtRTAAAAACWMvqYwxv3HDH2V0zqr9e+MHWE0Xz/kQ+cOsKoDq/tPeVz0zZfdvYe9/2+qSOM6nOfeMfUEUbzmtOeP3WEUT3zqr+YOsKonnfPh08dYVT32DN1gnH9wU3/OHWE0Vx6u8OmjjCqm3p7/8t50M01dYRRXfjFy6aOAPvc9v7bFAAAANwW2/tndN80Yw4AAADAUhQTAAAAgKUYcwAAAIA5bA05m84EAAAAYCmKCQAAAMBSFBMAAABgnrUt8BpQVWdW1SVVdWlVPWfG/V+qqgs3XhdV1Z6qusuiZyomAAAAwDZVVTuSvCLJDyR5QJInVdUDNr+nu1/c3ad296lJfiXJu7v7i4ueq5gAAAAA29dDklza3Zd1941JXp/krAXvf1KSc4ceajcHAAAAmGMr7OZQVTuT7Nx0aVd379o4PibJFZvuXZnkoXOec1iSM5M8c+g7FRMAAABgC9soHOyac7tmfWTOex+d5K+HRhwSYw4AAACwnV2Z5LhN58cmuWrOe5+YWzHikOhMAAAAgLm2wpjDgAuSnFRVxyf5x6wXDJ6895uq6ogk/ybJv7s1D1VMAAAAgG2qu2+uqmcmeXuSHUnO6e6Lq+oZG/fP3njrY5K8o7uvuzXPVUwAAACAbay7z09y/l7Xzt7r/LVJXntrn2nNBAAAAGApOhMAAABgjm2wZsIodCYAAAAAS1FMAAAAAJZizAEAAADm6Zo6wUrSmQAAAAAsRTEBAAAAWIoxBwAAAJjDbg6zLexMqKq596vqyH0fBwAAAFh1Q2MOu6vqoXtfrKqnJ/nwOJEAAACAVTZUTHhWkl1V9aqquktVnVZV70/y/Un+9bwPVdXOqtpdVbt3f+XSfZkXAAAA9pteq5V/TWFhMaG7/yrJ6Uk+m+QfkpyX5AXd/SPdfeWCz+3q7jO6+4wz7nTiPg0MAAAATOvW7ObwI0melOSVST6d5AlVdZdRUwEAAAAra+FuDlX1P5Jcn+R7u/vyqvrVJM9MckFV/Zfu3rU/QgIAAMAU7OYw21Bnwiu6+9HdfXmS9LrfTvKdWbBmAgAAALB9Da2Z8KY51z+T5PajJAIAAABW2q1ZM2Geh+2zFAAAAMCWsXDNBAAAADiQdU+z9eKqG1qA8fR5t2LMAQAAAA5IQ50JL11w7+P7MggAAACwNSwsJnT3d++vIAAAALBqbA0528IFGKvqNzcdP3L8OAAAAMCqG9rN4cxNx/9lzCAAAADA1mA3BwAAAJij1+zmMMtQMeEeVfULWd+94Zbjr+nu3xotGQAAALCShooJr0py+IxjAAAA4AA1tJvDr+2vIAAAALBquqdOsJoWFhOq6vkLbnd3/8Y+zgMAAACsuKExh+tmXLtjkp9MctckigkAAABwgBkac3jpLcdVdXiSZyd5apLXJ3npvM8BAADAdmA3h9kGt4asqrsk+YUkP5bk95Oc3t1fGjsYAAAAsJqG1kx4cZLHJtmV5Nu6+yv7JRUAAACwsoY6E34xyQ1JnpfkV6u+1t5RWV+A8c4jZgMAAIBJGXOYbWjNhIP2VxAAAABga1AsAAAAAJYyuADjbfWUoz439ldM6uirj546wmgO2jN1gnHt2ebdSpfv2N7/AB9wxL2njjCq15z2/KkjjOYn/+bXp44wqref/uypI4zq1Bt66gijetjJ/zh1hFGd+w9HTB1hNI/P3aeOMKovHLS9/+x9om6cOsKo7nP0kVNHgNJ1hCUAACAASURBVH1u9GICAAAAbFW9vWt53zRjDgAAAMBSFBMAAACApRhzAAAAgDlsDTmbzgQAAABgKYoJAAAAwFKMOQAAAMAc3cYcZtGZAAAAACxFMQEAAABYijEHAAAAmKPXpk6wmnQmAAAAAEtRTAAAAACWYswBAAAA5lizm8NMOhMAAACApSgmAAAAAEtRTAAAAACWYs0EAAAAmKOtmTCTzgQAAABgKYoJAAAAwFKMOQAAAMAcvWbMYRadCQAAAMBSFBMAAACApRhzAAAAgDm6p06wmnQmAAAAAEtZ2JlQVb+w6H53/9a+jQMAAACsuqExh5ckuTDJW5PckORWLWNZVTuT7EySFx57cp5812NvS0YAAACYhN0cZhsqJpye5IlJfijJh5Kcm+Sd3YunRrp7V5JdSfKJUx9pwgQAAAC2kYVrJnT3hd39nO4+NclrkpyV5KNV9cP7JR0AAACwcm7Vbg5VdfckpyX5tiRXJvncmKEAAABgFay1MYdZhhZgfGqSJyQ5JMl/T/Kj3a2QAAAAAAewoc6E1yT5SJJPJfn+JN9X9fWqTHcbdwAAAIADzFAx4bv3SwoAAABYQW3MYaaFxYTufve8e1X1nfs+DgAAALDqhtZM2JHkR5Mck+Rt3X1RVT0qyXOTHJr1RRkBAACAA8itWTPhuCQfTPLyqvpkkocleU53v3nscAAAAMDqGSomnJHkQd29VlWHJLk6yYnd/ZnxowEAAMC0uqdOsJoOGrh/Y3evJUl3/3OSv1dIAAAAgAPbUGfCyVX1dxvHleR+m87T3Q8aLRkAAACwkoaKCackOTrJFXtdv0+Sq0ZJBAAAACtizdaQMw2NOfzXJNd29yc3v5J8deMeAAAAcIAZKibct7v/bu+L3b07yX1HSQQAAACstKExh0MW3Dt0XwYBAACAVdPGHGYa6ky4oKp+au+LVfWTST40TiQAAABglQ11JvxckjdV1Y/l68WDM5IcnOQxYwYDAAAAVtPCYkJ3fzbJv6qq707yv29c/rPuftfoyQAAAGBi3VMnWE1DnQlJku7+iyR/MXIWAAAAYAsYWjMBAAAA4Bvcqs4EAAAAOBCt2c1hJp0JAAAAwFIUEwAAAICljD7m8PnP32nsr5jUJbe/eeoIo3nrVy+bOsKobn/QjqkjjOqKL31+6gijevzdTps6wqieedX2XfP27ac/e+oIo/rjD79s6gijeuSpO6eOMKp/uOzYqSOM6uD64tQRRvOlbd6F/IXaM3WEUR2d208dYVTXZfv+nYEDlzUTAAAAYI62ZsJMxhwAAACApSgmAAAAAEsx5gAAAABz2BpyNp0JAAAAwFIUEwAAAIClGHMAAACAOXrqACtKZwIAAACwFMUEAAAAYCmKCQAAADDHWtfKv4ZU1ZlVdUlVXVpVz5nznodX1YVVdXFVvXvomdZMAAAAgG2qqnYkeUWSRya5MskFVXVed39003uOTPL/Jjmzuz9VVfcYeq7OBAAAANi+HpLk0u6+rLtvTPL6JGft9Z4nJ3ljd38qSbr7c0MPVUwAAACAObpr5V9VtbOqdm967dz0SzgmyRWbzq/cuLbZ/ZMcVVV/WVUfqqqnDP2+GHMAAACALay7dyXZNef2rEUV9t7x8nZJvj3JI5IcmuT9VfWB7v77ed+pmAAAAADb15VJjtt0fmySq2a85+ruvi7JdVX1niSnJJlbTDDmAAAAANvXBUlOqqrjq+rgJE9Mct5e7/nTJN9VVberqsOSPDTJxxY9VGcCAAAAzLE2dYDbqLtvrqpnJnl7kh1Jzunui6vqGRv3z+7uj1XV25L8XdZ/ya/u7osWPVcxAQAAALax7j4/yfl7XTt7r/MXJ3nxrX2mMQcAAABgKToTAAAAYI6euRkCOhMAAACApSgmAAAAAEsx5gAAAABzrPXUCVbT3M6Eja0jAAAAAL7BojGHp+23FAAAAMCWMcqaCVW1s6p2V9XuN133iTG+AgAAAEa3llr51xQWrZnwoKq6dsb1StLdfed5H+zuXUl2JckFxzzGhAkAAABsI4uKCR/p7tP2WxIAAABgS7CbAwAAAMzRE40RrLpFayb8yX5LAQAAAGwZizoTvqWqXj7vZnc/a4Q8AAAAwIpbVEx4RpKLkvxxkqsSvR0AAAAcWNamDrCiFhUT7pnkR5I8IcnNSf4oyRu6+0v7IxgAAACwmuaumdDdX+jus7v7u5P8RJIjk1xcVf9+f4UDAAAAVs/gbg5VdXqSJyV5ZJK3JvnQ2KEAAACA1TW3mFBVv5bkUUk+luT1SX6lu2/eX8EAAABgaraGnG1RZ8L/leSyJKdsvH6zqpL1hRjXuvuU8eMBAAAAq2ZRMeH4GdcqybFJnjtOHAAAAGDVzS0mdPcnbzmuqlOTPDnJjya5PMkbxo8GAAAA07I15GyL1ky4f5InZn3xxS9kfWvI2tjdAQAAADhALRpz+HiS9yZ5dHdfmiRV9fP7JRUAAACwshYVEx6X9c6Ev6iqt2V9RwfLWAIAAHDAMOYw20HzbnT3m7r7CUlOTvKXSX4+ydFV9cqq+r79lA8AAABYMXOLCbfo7uu6+w+6+1FZ38nhwiTPGT0ZAAAAsJIWjTn8C939xSS/u/ECAACAba1N+8802JkAAAAAsJliAgAAALCUpcYcAAAA4ECyZsphJp0JAAAAwFIUEwAAAICljD7mcOgdbhr7KyZ1u7VDpo4wmkccdvzUEUZ1z97eUz43HHLC1BFG9ZYbPjl1hFE9754PnzrCaE69oaeOMKpHnrpz6gij+vMLd00dYVQff/Czp44wqtff8JWpI4zmCwcfMXWEUR26zX8GeElfN3WEUV2956tTR4B9bnv/bQoAAABugzVbQ860vUucAAAAwD6nmAAAAAAsxZgDAAAAzLG9V3v65ulMAAAAAJaimAAAAAAsxZgDAAAAzLE2dYAVpTMBAAAAWIpiAgAAALAUYw4AAAAwx1rV1BFWks4EAAAAYCmKCQAAAMBSjDkAAADAHD11gBWlMwEAAABYimICAAAAsBRjDgAAADDH2tQBVpTOBAAAAGApigkAAADAUhQTAAAAgKVYMwEAAADmWKupE6wmnQkAAADAUhQTAAAAgKUYcwAAAIA51mLOYRadCQAAAMBSFhYTqupuVfWCqnpWVd2pql5ZVRdV1Z9W1Yn7KyQAAACwOoY6E/4wyR2SnJTkg0kuS/L4JG9J8up5H6qqnVW1u6p2/8m1n9pXWQEAAGC/6i3wmsLQmglHd/dzq6qSfLK7X7xx/eNV9TPzPtTdu5LsSpKLTnjUVL82AAAAYARDnQl7kqS7O8nVe91bGyURAAAAsNKGOhNOqKrzktSm42ycHz9qMgAAAJjYms0cZhoqJpy16fgle93b+xwAAAA4AAwVEy7vbisoAgAAAF8ztGbCm285qKo3jJwFAAAAVsraFnhNYaiYsHk65IQxgwAAAABbw1AxoeccAwAAAAeooTUTTqmqa7PeoXDoxnE2zru77zxqOgAAAGDlLCwmdPeO/RUEAAAAVo0W/dmGxhwAAAAAvoFiAgAAALCUoTUTAAAA4IC1VsPvORDpTAAAAACWopgAAAAALMWYAwAAAMyxNnWAFaUzAQAAAFiKYgIAAACwFGMOAAAAMIcxh9l0JgAAAABLUUwAAAAAlmLMAQAAAObomjrBatKZAAAAACxFMQEAAABYyuhjDif8x/uN/RWTevrLLpk6wmg+dM1dp44wquNz/dQRRnV5Dp06wqgOPfi+U0cY1T32TJ1gPA87+R+njjCqf7js2KkjjOrjD3721BFGdfIFL5s6wqh+9pTnTx1hNA895AtTRxjVV7968NQRRnXljYdNHWFUF9/h8KkjwD5nzQQAAACYw9aQsxlzAAAAAJaimAAAAAAsxZgDAAAAzGHMYTadCQAAAMBSFBMAAACApRhzAAAAgDl66gArSmcCAAAAsBTFBAAAAGApxhwAAABgjrWaOsFq0pkAAAAALEUxAQAAAFiKYgIAAADMsbYFXkOq6syquqSqLq2q58y4//CquqaqLtx4PX/omdZMAAAAgG2qqnYkeUWSRya5MskFVXVed390r7e+t7sfdWufqzMBAAAAtq+HJLm0uy/r7huTvD7JWbf1oYoJAAAAMMfUIwy35lVVO6tq96bXzk2/hGOSXLHp/MqNa3t7WFX9bVW9taoeOPT7YswBAAAAtrDu3pVk15zbsza37L3OP5zkPt39lar6wSRvTnLSou/UmQAAAADb15VJjtt0fmySqza/obuv7e6vbByfn+T2VXW3RQ9VTAAAAIDt64IkJ1XV8VV1cJInJjlv8xuq6luqqjaOH5L1WsEXFj3UmAMAAADMsfc8wFbT3TdX1TOTvD3JjiTndPfFVfWMjftnJ3l8kv9QVTcnuT7JE7t74S9dMQEAAAC2sY3RhfP3unb2puPfSfI7yzzTmAMAAACwFJ0JAAAAMMfarL0QWNyZsDFXAQAAAPA1Q2MOT9svKQAAAIAtY5Q1E6pqZ1Xtrqrd57z3ojG+AgAAAEa3tgVeUxhaM+FBVXXtjOuVpLv7zrM+1N27kuxKkq+e/eytvpMGAAAAsMlQMeEj3X3afkkCAAAAbAl2cwAAAIA5tNrPNrRmwhv3SwoAAABgyxgqJjzmloOq+u2RswAAAABbwNCYQ206/s4xgwAAAMCqWTPoMNNQZ4LfNf7/9u49XrKqvBP+7wG5ChJRo3hJQEQdISCIUdEkXt9XEx2icRQ03ifEeDfeM44TjZnETFT0jYlDIip+VMZMUIkixoh+FMUEVEAwQRsI0CpGwagg97PeP/Y+dPWhLl1N16k6p7/f/pxPV+29q86zzq7atevZz1oLAAAANjOpMuG+VXVuugqF/fvbyaapIQ+eaXQAAADAwpmUTPhPqxIFAAAAsGaMTSa01i4ZvF9Vd0jyq0kuba19dZaBAQAAwLwtzTuABTV2zISq+kRVHdTf3ifJeUmem+QDVfWyVYgPAAAAWDCTBmDcr7V2Xn/7OUk+01p7QpIHpUsqAAAAANuZSWMm3DBw+1FJ/jpJWms/rSrVHgAAAKxrpjgcblIy4bKqenGSjUkOS3JqklTVbkl2mnFsAAAAwAKa1M3heUkOTPLsJE9trf1Hv/zBSd47w7gAAACABTVpNod/T/L8Ics/l+RzswoKAAAAFoH+/cONTSZU1cnj1rfW/vO2DQcAAABYdJPGTHhIksuSfDjJPyWpmUcEAAAALLRJyYS7JHlMkqOTPC3JJ5N8uLV2/qwDAwAAgHlbckl9qLEDMLbWbmqtndpae1a6QRc3JPl8P8MDAAAAsB2aVJmQqtolyW+kq07YN8k7k5w027AAAACARTVpAMb3JzkoyaeSvLG1dt6qRAUAAAALYClt3iEspEmVCc9IcnWSeyd5SdXNnUUqSWut3W6GsQEAAAALaGwyobU2dkyFLfGV//G9W/sUC+3Du+057xBmZ+fr89mrNsw7ipnZb9c7zTuEmTrvp9+cdwgz9djbHzjvEGbqgzd8Z94hzMzb/yW5y857zTuMmdm5rpx3CDN14nVXzTuEmXrxIW+YdwgzdfQ5b5p3CDP1isNfN+8QZmaf2mneIczUt3e9dt4hzNTXr7103iHM1GvnHQBzMXHMBLZf6zmRAMzPek4kAPOznhMJwHzp5DDcra48AAAAALYvkgkAAADAVCQTAAAAgKkYMwEAAABGWJp3AAtKZQIAAAAwFckEAAAAYCq6OQAAAMAISyaHHEplAgAAADAVyQQAAABgKro5AAAAwAg6OQynMgEAAACYimQCAAAAMBXdHAAAAGCEpXkHsKBUJgAAAABTkUwAAAAApqKbAwAAAIywZD6HoVQmAAAAAFORTAAAAACmIpkAAAAATMWYCQAAADCCEROGU5kAAAAATEUyAQAAAJiKbg4AAAAwwtK8A1hQYysTquofVisQAAAAYG2Y1M3hTlvzpFV1TFWdVVVnfeKai7bmKQAAAIAFNambw15V9aRRK1trJ41YflyS45LktDs/xeCXAAAArEnNfA5DTUwmJHl8khqyriUZmkwAAAAA1q9JyYRLWmvPXZVIAAAAgDVhUjJhWEUCAAAAbBfM5jDcpAEYnzF4p6ruUFVPrKoHzDAmAAAAYIFNSib8aVUdlCRVtU+S85I8N8kHquplsw4OAAAAWDyTujns11o7r7/9nCSfaa09s6r2TPKlJMfONDoAAACYoyWzOQw1qTLhhoHbj0pySpK01n4aXUcAAABguzSpMuGyqnpxko1JDktyapJU1W5JdppxbAAAAMACmlSZ8LwkByZ5dpKnttb+o1/+4CTvnWFcAAAAwIIaW5nQWvv3JM9Pkqrao6pu21q7urX2uSSfW40AAQAAYF6MmDDcpMqEVNXvVdWlSS5J1+3hkqp6wexDAwAAABbR2GRCVb0+yROSPLy1dofW2t5JHpHkcf06AAAAYDszaQDGZyQ5pLV27fKC1tpFVfWUJOckefMsgwMAAIB5MjXkcBO7OQwmEgaWXRNTQwIAAMB2aVIyYWNVPWrlwn7Z92YTEgAAALDIJnVzeEmSj1fV6Um+mm4gywcmeWiSI2ccGwAAAMyVkvzhJiUTrkvy7CT3TnJgkkryhSTvSXKL7g8AAADA+jcpmXBskj9orR0/uLCqDu/XPWFWgQEAAACLaVIyYd/W2rkrF7bWzqqqfWcSEQAAACyIZjaHoSYNwLjrmHW7bctAAAAAgLVhUjLhzKr6nZULq+p56QZkBAAAALYzk7o5vCzJR6vq6dmUPDg8yc5JnjjLwAAAAGDezOYw3NhkQmvt+0mOqKpHJDmoX/zJ1tppM48MAAAAWEiTKhOSJK21zyX53Nb8gge/7vZb87A14/o/+fG8Q5iZ2+xxwLxDmKm7tp3mHcJMHXr7O8w7hJm6x9KO8w5hpjbcZvd5hzAzT86d5h3CTP2o5h3BbF2x817zDmGmHrTrFfMOYaZecfjr5h3CzLz1rD+Zdwgzdd1bXjHvEGbq9BN2mXcIM/Wy3faedwiwzW1RMgEAAAC2R2ZzGG7SAIwAAAAAm5FMAAAAAKYimQAAAABMxZgJAAAAMIKpIYdTmQAAAABMRTIBAAAAmIpuDgAAADDCUjM15DAqEwAAAICpSCYAAAAAU9HNAQAAAEbQyWE4lQkAAADAVCQTAAAAgKno5gAAAAAjLOnoMJTKBAAAAGAqkgkAAADAVCQTAAAAYIS2Bv5NUlWPraoLqmpDVb12zHYPrKqbqurJk55TMgEAAADWqaraMcm7kjwuyf2SHF1V9xux3VuSfHpLnlcyAQAAANavX06yobV2UWvt+iQnJjlyyHYvTvJ3Sf59S55UMgEAAADWsKo6pqrOGvg5ZmD13ZJcNnB/Y79s8PF3S/LEJO/e0t9pakgAAAAYYWneAWyB1tpxSY4bsbqGPWTF/WOTvKa1dlPVsM1vSTIBAAAA1q+NSe4xcP/uSb67YpvDk5zYJxLumOTXq+rG1trHRj2pZAIAAACsX2cmOaCq9kvynSRHJXna4Aattf2Wb1fV+5J8YlwiIZFMAAAAgJGWtmDqxUXWWruxql6UbpaGHZMc31o7v6qe36/f4nESBo1NJlTVs1pr7x+yfKckJ7TWjt6aXwoAAACsjtbaKUlOWbFsaBKhtfbsLXnOSbM5vHTFKJCpqtv2Qfxs1IMGR5I8/sv/siVxAAAAAGvEpG4Oj05yalXt2lp7Z1XdKV0i4bOttdeOetDgSJI/O/Z313ZNCAAAANuttsa7OczK2GRCa+3Kqnp0kk9V1V2THJnkr1pr71yV6AAAAICFM2nMhCf1N49L8rYkn02ycXl5a+2k2YYHAAAALJpJ3RyeMHD75BXLWhLJBAAAANatpXkHsKAmdXN4zqh1VfVb2z4cAAAAYNFNms1hnLdvsygAAACANWNSN4dxaptFAQAAAAuoNbM5DHNrKhP8RQEAAGA7NGk2h29keNKgktx5JhEBAAAAC21SN4fHr0oUAAAAsICWFOUPNWk2h0tWLquqOya5ouk4AgAAANulsWMmVNWDq+rzVXVSVR1aVeclOS/J96vqsasTIgAAALBIJnVz+Iskf5BkrySnJXlca+0rVXXfJB9OcuqM4wMAAAAWzKRkwm1aa/+QJFX1ptbaV5KktfavVWaGBAAAYH1bmncAC2rS1JCDf7drVqwzZgIAAABshyZVJhxSVT9JNxXkbv3t9Pd3nWlkAAAAwEKaNJvDjqsVCAAAACyapih/qEndHAAAAAA2I5kAAAAATGXSmAkAAACw3VrSzWEolQkAAADAVCQTAAAAgKno5gAAAAAjtKabwzAqEwAAAICpzLwyoV119ax/xVzdeZdr5h3CzFzVdpx3CDN1Za3vXNoP2/XzDmGmDr5p93mHMFM3tJvmHcLMXLHD+s7uX1Hrd98lyW7r/DrEz36287xDmKl9aqd5hzAz173lFfMOYaZ2ec1b5x3CTF3+oTfMO4SZuvyGveYdwkwdPO8AmAvdHAAAAGCEpXkHsKDW9+UFAAAAYJuTTAAAAACmIpkAAAAATMWYCQAAADBCy/oePHprqUwAAAAApiKZAAAAAExFNwcAAAAYYUk3h6FUJgAAAABTkUwAAAAApqKbAwAAAIzQmm4Ow6hMAAAAAKYimQAAAABMRTcHAAAAGMFsDsOpTAAAAACmIpkAAAAATEU3BwAAABih6eYwlMoEAAAAYCqSCQAAAMBUJBMAAACAqRgzAQAAAEZYasZMGEZlAgAAADAVyQQAAABgKiO7OVTV7VtrP1rNYAAAAGCR6OQw3LgxEy6oqh8k+XKSLyX5cmvtW6sTFgAAALCoRnZzaK39fJInpkskHJHkpKr6flV9vKpePe5Jq+qYqjqrqs46/sxvb9uIAQAAgLkaO5tDX4nwrSTvq6r9k/x6kpcm+X+S/NmYxx2X5LgkufrNv60qBAAAgDVpSUeHocaNmXBEuoqEhyS5R5KLknwlyW8n+dqqRAcAAAAsnHGVCaenSxq8LcnHWms/W52QAAAAgEU2Lplw13SVCUckeX5V3SZdcuGMJGe01i5ahfgAAABgbnRzGG5kMqG1dnmSk/qfVNXuSZ6b5I1J9kuy42oECAAAACyWcWMm7JVuvITl6oRDk2xI8vfpZngAAAAAtkPjujlsSDfg4peT/FGSf26tXbMqUQEAAMACaE03h2HGdXO40/LtqtojyQ6rEhEAAACw0MYmCKrq96rq0iSXJLmsqi6pqhesTmgAAADAIho3ZsLr042V8PDlmRuq6p5J3lFVe7fW3rxKMQIAAMBcmM1huHGVCc9I8qTBKSD7209J8sxZBwYAAAAsprHdHFpr1w5Zdk2SpZlFBAAAACy0ccmEjVX1qJULq+qRSb43u5AAAACARTZuasiXJPl4VZ2e5KtJWpIHJnlokiNXITYAAACYq2bMhKFGVia01s5PclCSLyTZN8k9+9sH9esAAACA7dC4yoTlMROOH1xWVTtW1dNbax+caWQAAADAQho3NeTtkrwwyd2SfDzJP/b3X5Xk7CSSCQAAAKxrrenmMMy4yoQPJPlRkjOS/E6SVyfZOcmRrbWzVyE2AAAAYAGNSybcs7X2S0lSVX+T5IdJfqG19tNViQwAAABYSOOSCTcs32it3VRVF0skAAAAsD1ZMpvDUOOSCfevqp/0tyvJbv39StJaa7ebeXQAAADAwhmXTDintXboqkUCAAAArAnjkglqOQAAANiumc1huHHJhJ+vqt8ftbK19rYZxAMAAAAsuHHJhB2T7JFujIStdu0Zl92ahy+8j+xwt3mHMDM/WvrxvEPgVjjvuu/PO4SZOnzn/eYdwkztcOOtOvQutH+r6+cdwkzdOTvNO4SZuqBdPe8QZmrj9bvPO4SZ+vau1847hJk5/YRd5h3CTF3+oTfMO4SZevo5b5p3CDP1jsPW9/5j+zQumfC91tr6flcDAADAGGZzGG6HMevW72UxAAAAYKuNSyY8atWiAAAAANaMkcmE1tqVqxkIAAAAsDaMGzMBAAAAtmvNmAlDjevmAAAAAHALkgkAAADAVHRzAAAAgBGWmm4Ow6hMAAAAAKYimQAAAABMRTcHAAAAGMFsDsOpTAAAAACmIpkAAAAATEU3BwAAABjBbA7DqUwAAAAApiKZAAAAAExFNwcAAAAYwWwOw6lMAAAAAKYimQAAAABMRTIBAAAARlhqbeF/Jqmqx1bVBVW1oapeO2T9kVV1blWdXVVnVdXDJj2nMRMAAABgnaqqHZO8K8ljkmxMcmZVndxa++bAZp9NcnJrrVXVwUk+kuS+455XZQIAAACsX7+cZENr7aLW2vVJTkxy5OAGrbWrWru5xOG2yeRRJyUTAAAAYA2rqmP67gnLP8cMrL5bkssG7m/sl618jidW1b8m+WSS5076nbo5AAAAwAhrYWrI1tpxSY4bsbqGPWTIc3w0yUer6leT/FGSR4/7nSoTAAAAYP3amOQeA/fvnuS7ozZurX0hyf5VdcdxTzq2MqGqfn/c+tba20Y87pgkxyTJWw86IM/6hX3GPQ0AAAAwG2cmOaCq9kvynSRHJXna4AZVda8kF/YDMB6WZOckV4x70kndHPYcuP27Sf73lkQ6WGJxxW/82uLXhAAAAMAQWzL14iJrrd1YVS9K8ukkOyY5vrV2flU9v1//7iS/leSZVXVDkmuSPHVgQMahxiYTWmtvXL5dVb85eB8AAABYfK21U5KcsmLZuwduvyXJW6Z5zmnGTFjb6RgAAABgmzCbAwAAAIywFmZzmIdJAzB+I5sqEu5VVecur0rSWmsHzzI4AAAAYPFMqkx4/KpEAQAAAKwZkwZgvGS1AgEAAIBF09rSvENYSJO6OVyczQderIH7rbW2/6wCAwAAABbTpG4Oh6+4v0OSpyR5ZZKvzyQiAAAAYKFN6uZwRZJU1Q5JnpHkVUnOTvIbrbVvzj48AAAAmJ8lszkMNambEcS0gwAAE9BJREFUw05Jnpvk5UlOT3Jka+3C1QgMAAAAWEyTujlcnOTGJMcmuTTJIVV1yPLK1tpJM4wNAAAAWECTkgmf6f8/uP9JukEYk24gRskEAAAA2M5MSiacly5pMJhA+EGS01trF88yMAAAAJi31oyZMMwOE9bvkWTP/v/l24cn+VRVHTXj2AAAAIAFNGk2hzcOW15Veyf5xyQnziIoAAAAYHFN6uYwVGvtyqqqyVsCAADA2mVqyOEmdXMYqqoemeRH2zgWAAAAYA0YW5lQVd9IbpGG2TvJd5M8c1ZBAQAAAItrUjeHx6+435Jc0Vq7ekbxAAAAwMIwm8NwkwZgvGS1AgEAAADWhq0aMwEAAADYfm3VbA4AAACwPVjSzWEolQkAAADAVGZembB0/ax/w3yt52zMTW1p3iHM1H9kfb84991573mHMFOn10/nHcJMnX3lRfMOYWZ+8c4/N+8QZurq3DjvEGbqhzf9bN4hzNT5u+w57xBm6uvXXjrvEGbmZbut78+9y2/Ya94hzNQ7DnvDvEOYqZd+7U3zDgG2Od0cAAAAYIQW3RyGWc8X1gEAAIAZkEwAAAAApiKZAAAAAEzFmAkAAAAwQjM15FAqEwAAAICpSCYAAAAAU9HNAQAAAEZYMjXkUCoTAAAAgKlIJgAAAABT0c0BAAAARjCbw3AqEwAAAICpSCYAAAAAU9HNAQAAAEZY0s1hKJUJAAAAwFQkEwAAAICp6OYAAAAAI5jNYTiVCQAAAMBUJBMAAACAqejmAAAAACMsRTeHYVQmAAAAAFORTAAAAACmIpkAAAAATMWYCQAAADCCqSGHU5kAAAAATGVsMqGqjqyqFw7c/6equqj/efKYxx1TVWdV1VknbPzetowXAAAAmLNJ3RxeneSogfu7JHlgktsmeW+S/zvsQa2145IclyQ/eMyvqQkBAABgTVrSzWGoScmEnVtrlw3cP721dkWSK6rqtjOMCwAAAFhQk8ZMuP3gndbaiwbu3mnbhwMAAAAsuknJhH+qqt9ZubCqfjfJP88mJAAAAFgMbQ38m4dJ3RxenuRjVfW0JF/rlz0g3dgJvznLwAAAAIDFNDaZ0Fr79yRHVNUjkxzYL/5ka+20mUcGAAAALKSxyYSq2jXJ85PcK8k3kryntXbjagQGAAAA82Y2h+EmjZnw/iSHp0skPC7Jn888IgAAAGChTRoz4X6ttV9Kkqp6Twy6CAAAANu9ScmEG5ZvtNZurKoZhwMAAACLo+nmMNSkZMIhVfWTJMtZhN0G7rfW2u1mGh0AAACwcCbN5rDjagUCAAAArA3TzOZwbpLjzeYAAAAA27dJ3Rzen27chC8m+fUkByZ56ayDAgAAgEXQYsyEYczmAAAAAExlhwnrN5vNYcaxAAAAAGvAls7mkHQzOJjNAQAAgO2GqSGHM5sDAAAAMJVJ3RwAAAAANjOpmwMAAABst3RzGE5lAgAAADAVyQQAAABgKro5AAAAwAg6OQynMgEAAACYimQCAAAAMJVabyNTVtUxrbXj5h3HrGjf2rae27ee25Zo31qnfWvXem5bon1rnfatXeu5bcn6bx+LYT1WJhwz7wBmTPvWtvXcvvXctkT71jrtW7vWc9sS7VvrtG/tWs9tS9Z/+1gA6zGZAAAAAMyQZAIAAAAwlfWYTFjvfYO0b21bz+1bz21LtG+t0761az23LdG+tU771q713LZk/bePBbDuBmAEAAAAZms9ViYAAAAAMySZAAAAAExlYZMJVfXfqur8qjq3qs6uqgdV1eer6oKqOqeqvlRV9+m3fV9VXdxvd3ZV3b9fXlX1zqra0D/PYQPP/9j+uTZU1Wvn2M67V9XHq+rbVXVhVb2jqnauqodX1Y+r6utV9a9V9ecDj9mjqv53v/35VfWFqnpQv+6qebVlGiP2785VdWzfrg1V9Ymq+oV5xzpMVbWqeuvA/VdW1R/2++2MFdvepqq+X1X7DLxWz6mqb1XVCVV1txXbP7F//vuuVnuGqaqb+n1zTlV9raqOWLH+5VV1bVXtNbBs+XV7dr9v/7Gqfn7F4z6+8m+0CAbae15V/W1V7b5i+fLPvivaufzz6Hm3YdCo12h/+w+r6jsDsf9pv/zzVXX4iud5UlV9duD+w/rH3GaVmjJWVd2lqk7sjxvfrKpTqureVXVNH+c3+/fZTv32D+//Ns8beI5D+2WvnF9LRlt5TOhfg62q/mhgmztW1Q1V9Rf98XV53w6+fl8yv1ZsmS14vw09riySft98YOD+barqB1X1if7+nfvPt3OWX7P98n0HXrfLP/9j0fblmPfcgVV1Wv/Z9u2q+u9VVaPaXFW/NNCeK2vTedw/zqttK9WIz8F+X503ZPv3VdWT+9t7V3cO95zVjntFTHcY+DtfvuLY32rT597fV9XPDTxu6P7s/bCqbt9vt0//PA8beOwPquoO82hv//tvsX+q+9x7Zb+PvlNVu/TL71hV/zbpcasW/BaqyecsK5ffuao+VFUXVdVXq+qMqnrifFvBerCQyYSqekiSxyc5rLV2cJJHJ7msX/301tohSd6f5H8NPOxVrbX79z9n98sel+SA/ueYJH/VP/+OSd7Vr79fkqOr6n4zbtYt9B+yJyX5WGvtgCT3TrJHkj/uN/lia+3QJIcmeXxVPbRf/jdJrkxyQGvtwCTPTnLH1Yz91hizf/9nkj2T3Lu1dq8kf5fk41W1iK/T65I8qapW/t2/kOTuVbXvwLJHJzmvtfa9/v6r+tfwfZJ8Pcnnqmrnge2PTnJ6kqNmEfgUrunfT4ckeV2SP1mx/ugkZyZZ+WH0xf5xB/frX7i8oj9ROSzJz1XVfrMLfasst/egJNcnef6K5cs//9Yv/+KK5QtzAtwb9Rpd9vaB2EcmVFtrJyW5tqqeVl0C4S+TvKC1duMMYp5Kfwz9aJLPt9b2b63dL8kfJLlzkgtba/dP8ktJ7p7kKQMP/UaSpw7cPyrJOasT9VYZdky4KN1xdNl/SXJ+krTW/nh532bz1+87Vy3irTfp/XaL48oCujrJQVW1W3//MUm+M7D+TUk+01o7pH/NDr7/LlzR/jcu0r6c8J47OcmfttbuneSQJEckeUH/0Fu0ubX2jYG2nZxN53GLlJid9Dk4VHVJ9k8nOa619t5ZBjhJa+2Kgb/zuzNw7E9y9cDn3pXp31f9a3fo/mzdYGv/lOQh/a84It25zHKi5T5Jfthau2L1Wjm1m5I8d95B3EqTzlluXt6/bz+W5AuttXu21h6Q7vPk7nOJnHVlEb+kJck+6Q5E1yVJa+2HrbXvrtjmC0nuNeF5jkxyQut8Jd0XmH2S/HKSDa21i1pr1yc5sd92tT0yybXLHzSttZuSvDzdAW735Y1aa9ckOTvJ3apq/yQPSvL61tpSv/6i1tonVzv4W+EW+zfJfyR5TpKX93+H9H+Xq9J9GV80N6YbJfflgwv7ffK3ueUXlQ+vfIL+dfn2JJenS2ylqvZI8tAkz8v8kwmDbpfkR8t3+tfhHklen+6Lzi30H157Dj4uyW8l+ft077lFat9KX8zk48uiG/oa3UovTvLmJG9McmZr7cvb4Dm3hUckuaG19u7lBX0y+bKB+zcl+eckgxVAlybZtb9SU0kem+RTqxPydMYcE65J8i+1qZLkqUk+ssrhrboRx5VF9Kkkv9HfPjqbfwbsk2Tj8p3W2rmrGNetNeo9d+8kX2qt/UO/7GdJXpRNiZK13OZlm30OjrFHuv3/odbaX802pG3qjGw6Tj4t4/fnl9InD/r/35bNkwuL8hkxyrFJXl4LUmG3DYw6Z1le/sgk1694317SWvv/Vik+1rFFTSb8Q5J79KVVf1lVvzZkmyeku7q07I+rK398+3LpUrqD4mUD22zsl41avtoOTPLVwQWttZ+kO9G9+aDQl5IdkC6BcmCSs5e/cK9Rw/bvvZJc2rd/0FnpqkcW0buSPL0Gyvx7H05/0t+/Fn89XZXFKF9Lstyl4TeTnNpa+1aSK2uga84c7NaXyv1rumqYPxpYt3xy/MUk96nNS45/parOTvc6fnSS44c87sMZkYSYt/7k4nHZdHxZ/jucXVUfHdj0V2rzcuT9Vz/aiUa9RpPuRGo59v933JO01i5K8n/SnUy+ZgZxbq2DsuIYulJV7ZouAXvqilX/N93V/CPSvQevm0WA28C4Y8KJSY6qqrunu9K2Mum+Fo19v2X4cWURLe+bXZMcnO5K7rJ3JXlPVX2uui4pdx1Yt/9A+9+1mgFvoVHvuWHnMxcm2aOqbpfxbV5k4z4HR3lbktP7iwVrQl+x+6h01QjJ5P355WxKJvxyuqve9+jvH5Eu2bDILk1X7fWMIesG34NnZ9MV/4U05Jxl2PID033OwTa3kMmE1tpVSR6QrmvCD5L8n6p6dr/6g/2b+6FJlvswvS7dl7EHJtk7m052a9jTj1m+2mrE711e/itVdW66K9efaK1dvprBzcqw/Zvuaseov8VC6hMfJyR5yYrlZ6b7wL1PugP5V1pr465mDLbx6HQnoen/n+cX7uVSufumu3J7Qn9VMOmSJSf2lRgnpftStmy5HPkeSd6b5M+Srr9euqTR6f0Xoxur6qDVaswW2K0/tpyV7kTjPf3ywdLiwS4dK7s5XLjqEU8w6jXaG+zm8Olxz9N3NXp0ukqhX9z2kc7E/v3+vCJdonLlldCPpHvdrrxqvGjGHRNOTVdCf3S64+h6MOn9ttlxZVH1r7d90+2bU1as+3SSeyb563TnLl+vqjv1qwe7OSxyV46VRp3PJF0h3rg2L7Jxn4OjnJbkyFrgcT0G7DZwnNw7yWf65WP3Z7pqr0Or6rZJdurP6y6qqntlMSoTxsW+7H8meVVu+V1os65G6bqGLKJR5yyjlt+sqt5V3TggZ65atKxbC1ve0195/3ySz1fVN5I8q1/19NbaWSu2Xe6Lfl1VvTebkgwbsylTmnR9g76bZOcRy1fb+enKvm/WZ3zvkeTCdCdPj6+qeyc5vb9Kc36SQ6pqh+VuDmvRkP37u0l+sar2bK39dGDTw9JdQVxUx6bL9q7sE7lcxv+fMvmLyqFJPlvdYEWPTNfXtiXZMUmrqlf3fRTnprV2Rt/3/k5VdZd0lTKf6c+pdk7Xf3vYVbSTs6kq46lJbp/k4v5xt0v3N3r9bKPfYtf0Jw7rzajX6DRemOS8JP89ybuq6iHzfk32zk/y5BHrLmyt3b/v2vb5qvrPrbXlq25prV1eVTek+zL+0my6yrYwRh0T0o1bkdba9VX11SSvSHfl6QnzinWVDR5XFtnJSf48ycOTbDYYXWvtyiQfSvKh6gZm/NVMqLJZEKPec+ena8PNquqeSa5a/kwf0ea1sB+TbP45OGHTE9Nd9T6lqh6x4pxm0VzTHyf3SvKJdMf6d2YL9mdVbUjXLXf5ivdX0lVi/nySC1Yn/JGuSHe+MWjvJBcv32mtbei/dD8la9Ooc5ZbLK+qzb5vtNZe2L+Wz1r5YJjWQlYmVNV9quqAgUX3T3LJmO336f+vdCWhyyOxnpzkmdV5cJIf94mHM5McUFX7VTfw3VHZVNq1mj6bZPeqemZyc5nZW5O8L8nPljfqr+L+SZLX9Fc/z0ryxuXseFUdUFXzGPNhq4zYvxekG1Tzbf3fIf3f5doscLlcf3L0kXT9mQd9OMlvp/siMPS11b8uX5KuL+mp6U7QTmit/WJrbd/+CtzFSR427PGrqbpR5HdM9wF9dJI/7GPct7V213TjeQy7Yv2wdImx9I977PLj0lWnLPK4CevCmNfoFumTR7+f5NWttVPTDST3X7ddhLfKaUl2qarfWV5QVQ/MQPVEf8x/bboKtpXekO64uqjdxkYdEwYHzXprujYs8mBn29rgcWWRHZ/kTa21leXHj6xNI6zvmWT/dFcQ14JR77lvJ3lY9bPaVDeA3zuzqTJtLbc5yS0+B8dqrR2b7hzvo7X5AMsLqbX243QVbK+sbuabD2bM/ux9KcnL0o21kP7/l6arxpz3BZCrknyvqh6VdDNrpKssOX3Fpn+cTRcg17PT0o0T9HsDy3YftTFMYyGTCekGr3l/ddMHnZuuz/wfjtn+g/3V7W+km9Xgzf3yU9JdMd2QrrTuBUnSulHIX5RupN1/SfKR1tr5M2jHWP3B9olJ/ktVfTvJt9J9ef6DIZu/O8mvVjcC/n9NcpckG/p2/3U2VVbsXlUbB35+f+YNmd6o/fu6dIOKXVBV30n3BebIeX8obYG3ZsVsGq21b6ZLCJ3WWrt6xfb/q6rOSbe/H5jkEa0bCPTodKNkD/q7dAMhzcPNfZfTlVA/q//SdVRuGedHsykxsDyWwDnp+iO+orrZLX4h3ZWLJElr7eIkP6l+WtM1aOWYCaOukC+CW7xGx/jkwPHjb9P1//2z1toP+vUvS/Lf+pOzuRo4hj6m+qly0x1LVlaafSzdsfFXVjz+y621j61KsFtn1DHh5s+I1tr5rbX3r2pU83GL48q8A5qktbaxtfaOIasekOSs/vPvjCR/03ePW3gT3nNHJnl9VV2Q7nzszCR/0T90rbZ51Odg0o0XNHi+NdjdL62116Qbn+sDtZizUm2mtfb1dLPaHNW6gb/H7c+kSybcM5uSCV9Ll+icdxeHZc9MF//Z6b5Mv3Fld8T+3H/djyXQv29/M8mvVTcF6z+nu4C3SGMgsUbV4n9PY3vUXw09NclfttaOm3c8AAAAbCKZAAAAAExl4cuuAAAAgMUimQAAAABMRTIBAAAAmIpkAgAAADAVyQQAAABgKpIJAAAAwFT+f6GR+3qtoZV3AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#Visualization of the Correlations\n", + "\n", + "plt.subplots(figsize=(20,15))\n", + "sns.heatmap(correlation_of_final_positions);" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2015-11-20 0.006532\n", + "2015-11-23 -0.003925\n", + "2015-11-24 -0.000940\n", + "2015-11-25 0.002003\n", + "2015-11-27 0.001257\n", + "dtype: float64" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Use the `dot` function to multiply the weights by each stock's daily return to get the portfolio daily return\n", + "weights = [0.40,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,]\n", + "core_portfolio_returns = Core_returns.dot(weights)\n", + "core_portfolio_returns.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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gPCjoXyS8/KIogDTRXADpsRer1yapxb9YS2Qjycb7fqMr4z6x97Q2Hh5pabsWK5eB1E0rLo7NFC/EyTRbPILQNpTFEq8O5mVHNtIH/tGrHtNbr3+mbGDD/VrPK52NruPqieeEodXEbO1i29WccxlPbTwW3SARcaLmEEDqUnGHp00FHYPQ6sP379TRs8VOciGewpbderhjvM8YDfRH88it1cM7T+n/u/oxTc4tngLR77tzq956/TPz/rrNLOt5vnEBzG7q4AHoDHfBd9+WE/rJqx9f0CC8a3NGpnK6dvU+rdpZnhGwb6i4vK+blmyt1TP7z5CR1GXct5EvZMxhU+mmpf3FLnGz9Tz+9u5tTT3P34b459QqbMsGilPeGx2h/92bntfbbljf0nZVcuv6wx2rFzUf+vu6rwYSbcfi02hfP7uIdmP7xa6T42X1+xrJQHKrqtUT0Alt61PYzkX1fts528B9pmQaNYcAUpdy2Y7tSufbcXxMX3vmsP78jhei948CSBXSpUsHnkmchAfPTWs2H2qqRgApDK0++fBuDY+3VnitlzHCVJtbBbCbUswBdIbf0Ts7ldOpsebOH8MTszWzRdw5zv2bdS6Oi3BG2/XQjlN6x43P6bbnjiYeNzVX4MKwg9IlASp9E+77bDYDqdWLqEQGkre7WUkrlhYDSJ2qi5lmrdVHvr1L92we7PSmNM0dt920UIfbA/q4qu06n3joRX33+1c2/Lz5GABt5jXStZQaeQk3k6SegE5gW89AGpspPr+dwVz3mdY60jhzZyOA1KVKGUjtPbG5g9cdWJXe33WG+0xyFGdqrnjBXyriln3oHTs3rS+uPaDHdg/P38b3GDKQanMZSN1U5BJAZ6RrFZxosu7enRuO6f/esrFqBpOrj+AuLrMem77YOxpNc/Onu41M5fQDH1ql6x7f39S2onWuP+LOucki2kVWNr7AGmliOkUY2pYH/PztStdDWj5Q7K53Sw2kuUJxpeBezg42XbgKW6lvTQCp23zpiYNNrcrZyApqkhf48XaBoJk+cKUMpLpWYXNT2OqrgTSbD8uuadbsHtYNTxyoa1NdBlIjWVKtcuf4SsdavUfg/uHJRTXrpl4EkLpUereQT/0AACAASURBVM7+QnMHkHvfWquw+VPY+r3nTucKifsrtT2u01ErU2kxS1+QrNkz3PCJphd964Xj2j88WddjZ6iBBJx39g9P6HOr95UNQKQ7dCdGZ3T4zJSeP5Ss8XLfluP6r9esqXj+cqs7VqrxJ5VnIGUF/EsZSK64d7Sd3oa6bJb7t56o+F5YWHER7UL1ga0w1S9pZDrFfGQUJ4NGpdutpGXRqq3dUjtxOl4MpDu2pxl9cQZS9/QvXJzAb0Pu23K8pzO9FptGs0nTC+Y0s+pXM/to+imNbLcLINXzHPeYdAbmu762QVc/tLuu9zs37YL2dW9iy1xQrvb3YZUrhLru8X2ZfYrf+tJ6fXrVnoXYxK5GAKlLuQO/XRlI7gBy7+saq5mKAaRS5LaUgSRNRhlIGw+PaM2e4YrRZNdRm67SgV/s/I7XvqEJvevmDVqz53QHt6g9/vKbW/TfP/NEXY91+183dfAALKyHd5zSZ1fvjVesdNIjhSdGZ/RLn1+n3/zS+kRH98DpKR0dmdbmI8nFD25cd1C3PXskHnmczlcewHDBA9f2ZGYgpQJGYUb2AIkEnee+p6wpbP73476/ZgYuKvWVGpEunO39omVxBlJzfcKsv8W2MPXEBdl6O4AUFdHuoiny7nv3m43bnj2ijz6w67wYYOwFjWYaNjtF0t8HmhlErTSFLX17lrMNZCC5xzTalqzcdlLXPFwMMI12oAZSaQpb7VXYvrnhqD79yF59+cmDZY8bm8nryX2L/9otjQBSl3Kd4XanK9s4A6nY4M3mg8wItGswklPYwjgD6S/u2KJ33byhYgDJNRLnSwbSM/vP6Jn9ZxK3+R0vl/54pkPLB3crlyFADSTg/JELsjNg+1L9vBNjs/EgxOC50nQ2d6H1VKrNvWvjoFZuOxmPCLsp11ncOTAOPmRcuIfeeTDrdx8tWOe4foj7DrO6JdaWj9i3O4Dk97WSwSRpeZSB1GwAaXym/OLu5qcP6z9++BENnitfYbCWqaiv103Bl0bFqzp20RT5rCzGXGB1bjqv5w7VXk1v9a4hXXHlysxVI1v1udX7dMWVK8/7em6NZgHOxzHSVA2k1FO2HBut63n5IIyzierZdLdpjdaAe+/tm3X92gPKFUKNTrd/Fba4fa9jkMe17+l21NriNN6Dp6earsnYqwggdamwSqd1IbjGyTU4LrYR2vL0S/9x6QykdIc8kYbt/eIOXNcJWezeceNzeseNzyVu8zuC7vMfy+jkna+C0MafUStFLvNBqL1DE/O1WQAWmAuupwNIZTWQRmf07y5dLqm4EITjzi9PpwJII9M55YJSrYbpKuefdKc/a9Q5XQMp/bvk1dhZJBdd1tqe+1tcfyqfWUTbeI8r3TNXCBoaDa82HbJe/rVTWQ2kJcXuerN9wqy+xcPRyoLHRhqvJeb6evkezg527Uk3ZTi7LfHbOrd64IPbT9Z8/h0bjkkqrsI13z67eq8kSgo0GsTtxCpsUrKd23pstK5VIu/ccEzf+4GH4t9rBXT8+8ebzGbcNzwRB5DamYGUj2sgVX+cldTfV2x/09vnXx+vP5jsbyx2BJC6VFwDqV0BpKiBC1MZSFL2Smxxqn5fqbMcWFuWUeQ3elk/T1cZAV7s/IbHnWAWewCpkQsP/+KxlQ7LRx/YpZ//7JM6MdpcwV2gWdc8vFt/Ga1sifoVKgSQ0h29k6Ozes1LVkgqLszguLZ12/GxODXeWqtzUznlCmEckK6egZRsc7LOxXENpPTv3sWfTf3b637+s0/qBz+0qtOb0RB32ql1IeefnyZmCw1lvqb31WZG0qvWQBpwGUjN9ZlGq/Qt6pnSkjYdZyB1T/ZOo/q7uIi2UXHK7RVXrow/61U7T5Vt69D4rN5355Z4/3OB7qUDC3d5186L/G7UcAZSk/uXP15Sax/Nam/82/xVR9Nf31Urd+nbUY2+a6MgYfwaNb7rMNVmNuLiZQOSpF0nxr0i2g29REviGkgVUpD8P70/zlZMbqA/uL3+wNn53cAuRwCpS7mdtF0BJNfhdo2B3+DNZoys+R3lgYwpbOnHpV/T/X3dXrl+IdIpXcaWfxJyo93dFkCazQfzmgrd7JSAVkYIXYFdN8IB1OtcC0vFS9L242PaeWL+R4IXO3c+msklz39ZGUjp50ilTp21pU7dxFxBhdBqrhCUXr9KDaR0m1MtE9fEC0kUf/cDXXEm0yK55to3PFlWm6rbuYvy0hS27C/D/8onZgsNXSin6zk2s5pQOuuo9LPiDCS/T5grhGVZdpVkTWFrpTxXqQZS+jgJ9dWnDvVEbaQoqaC7MpC8NuVzj+2TVOwXXrRsQGcmc2ULBnzk2zt1z+bjWh0FCHJRgHFZ/wIGkLro8+qERgNIDWcgNXGyqLUPr92bXaOnEIT6yrpD+rNvFAe6LoiCOk6tNjBoIYB0wbJiUPykNxV9Pq+5coVQb/mXdXrmQHYbGddAqtAQxptiS49N7/tuYQZJeoYAErpBqe5CeUdtx/ExXXHlSm0+eq7svma5g6I0hc0LIGUU8nZ396ensJV1ovyfbdnP3V5EeyFGWlxb5Z9UujUD6Zb1h/XLn183b6/X7JSA873Dgs746AO79Mf/uilx26mx2bo7OVNzhZaX9j4fuc8snf2a7udNzBU0PlNeiyUfWF12wRJdtGxA66IL7HNRUdBcoTSFrZEMpKxzcXrJ7awluONzq/e84YnZspp4WDhxDaQqx6JVso8yPpPPPO+EodXNTx8qm7KWroHUzCnLJvpL/rbZUgaS1x/75MO79b9vfE7bBmvXNpnvgE48hS31ul97+rA++sAu3bL+yLy+30Jwgd9PrdqjD9+/s8NbUxRPYfN+KQRWP/k9L5MkbU19124fddlULrixZAEzkLop4NYuflvQ6Dm90f5rM5cdWQFr/6Ztg6Up3v4j/dqBknRhKoC0etdQvCJbFv89/CLa9cw2cNeWwxOlQbqtx0bnZTqwJA2em9aO4+P6wL07Mu8v1fItna83HB6JEyH8QF5cjzUdQIoGq/795Rdq8NzMgtQe61YEkLpUtSlsq6J560/tm78OqDsI3KHhd8arTmEzRn1RACkMy6ew2QoZSO71u70G0kIELrI6s24UL2uUsJNGpvIany3MW82LTmQgZRWlBOpxcmxWY17m2onRGf34Jx7TtdHIcC3TuaAtdexyhVAHTk8u+Pu0i6v5ke5I9mX0WNzUNT+VPAhDLR/o13945UU6cnZKUmmZ4FwhLK3CVq0GUlkAqfJASlxEOz4ven9LRv222549qnfe9HzmksC1HB+d0f5haro1Il1T0j8PVZomMj6bHUB6aMcpfeTbu/TpR5LLNqf31WYykPwLlnQG0kBfMds7F5Texx3z9Sy+kZVB18o5MS6indq/3SDYdJdnl0te+YXQds0qSonvPfo3H4a6ePkSSeV9qDiA5DLbXTmKFvpMZybn4oB7lnYWOu4W/rVKo6tjZx179ag0tSpL5iqLdWQypfsNFy7tT/y++eio3vW1DRWfX2kKm58ckLW/WGvjGShD46X2654Xjut9d26pud3OjuNjFc+jfXFmcPbn4L4X1w7uOD6m37hhvT7zyN5ou0uPdckR6aQH15f4T6+5TJJ0OOpvnA8IIHWp9KohPhdkuHj5QNl9zSqkprD5B1zWwemvNtPvFSJMB5D8dsOvJ9DKKmyz+UBffvJAW+beL8RIi3vFxBS2sDszkPJxbaz5eb2GAkiJDKTWv+tmOvToPWv2DOu9t2+el9eamMsnAgCnxosjZU9USAdPa1cA6b4tx/Xma9c1XcSy27h2N53VkZ7CJpU6dIkpbIHVQL/RQF9f3ObEGUhBGF9kVctASnd6s0adS1O53e/l21nK7vVHM4vT6ZrpbP7k1Y/rv3/myYafdz6LL8SjfSQrE9ba5Gj61Fwh83zlLiTT5+qyGkjNTGHzdrFEBpKVZKRlA32Ji9dSDZ/ar111IYomTo2lDKRUQCOuj9lbIzZnJysHTJpZpa5Z7nv39598UCqiXjOAlBEkbdQbPrZa/+OzpTZm05GRRJbb+ZiBNOkFR/wgbj0avVYpzZyyevMPvqqu52RlGPpf09IKUxoPny3u264USToDSZIOVRmc8vczPwPJDyZl7S/TuSB+7vB4skzAC0frWy3uzOSc3vIvT+nv/i27OHitAFL6usJNB3ZJE34Azg02TaT6WO5zvzCajtfLq1I2igBSl3LHW1YGkjsw3YhEo9buGS6b/pYuou0f8FnphH5HOZ7CZm1ZdNZvXPzXdMdttQ6887OfXqv3fbMUkb7u8f36+IO7dc/m45KKHfP0vPBGPLn3tPZVWKVrvjOQiivYFH/2L0i6tQZSer9oVSNxoEQGUguNsjsJnE8N+/nsXTdv0MptJ+cla258ppDYb+JstjqfP50rtCWANDJVXF1spMpFUKdM5wraNjiqv717a90j1/EUtrIi2pU/eb+Tng+tlvT3yZjSucql4c8Vwvix1ZZebyQDyaQ6qonM22j/8V/NXXQfGG5+tHK+6gfOFQL9/tc2JFaxW2zc9+E6+0HGMS2V12xsNmNWaq7vUKkGklTMRrjsgqU66V1s9fWVMmh8ZyfnyqZSZJ3/XIZDMy1lpSLa6aBqN/M/77GZfOZF+L9tGtRPfXJNS33MRrgtCm1pHwhCq+XRFMayAJLLgkwFkJoN8rhgmZ/V9r++uF6/ct3Tpfc8DwNI/rmo0dq0jX4X/rFf73GUVX/If53//NrLMm93f1chLK6ueVFGAClr4MZJ141zRmdKfZGs/cW/1vEzkIqvWXz81585rL+Krv3C0OqO548mzsMuAaFSwCke2KnwdZVqIJnE6/z7yy+SVDo3WJWuVdOfs2szVizpT/x+PiCA1IX2nJrQwSjim7XihhtlvmhZf9l99fi9mzfordc/k7jNHUjuQEvUQMpoLF0D1N9XCiC5UdWsx0npzlk0AlzHFLZDZ6Z0zwvH49/d3+86MDeuO6Tf/NJ6rWsyBfmdNz2fGG3xzX8AqfRz3vtcu7UGUi4odWCcp/ef0Xe9f2XVFOdKqo6CpszM0ypsTq827JuPntN7b9/clrTxXSfG4ymyvW4+ag+Nz+ZTI+yNXRxN5wLNtWG/cx3aRotYLrQTozP6/g+u0q9c97Tu3DhY11QbqdQ2pgNI/se+tL8vHjWV0lOkw/jc5I4bt8pLcRW22hmw6dHJXMYFuE3tD659z1owItH2R/tEK9MOf+7Ta+elXTx4ekqP7x7Wn39j8a4WmB4YS2Yglcb7ExnToa1asy99V/kUtmK5gUa+4/TKa6XbrYyRfvi1l2nzkdLgn8tA2js0oWcPlgq4/sQnHtebrlmTeO1q579mgg0ugFne50tuWzdLB+lcG+F77lDxcz3YpinCbptCm5yAtHSgT32mfDCvLFOyxQykerI/zscAkt+faDSA1Gzf09r6p7FlBpC8ny/JSDgIQ6s57xw7PlOIM2l81Q5lf/9z22Ct1ee9af5Z/X4/W/p0ql/gXvFD9+/UvdG13wvHRnXlPdv1dIWC2FJ5MDsOAFVox11Q3XUj/KCX/3zJz0BKB5CKD1qxtBh4O3x26rw5PgggdaFfuPZJ/c3dxZS8XCEs2/ld0dBW7T5VWh0ofYAnaiBljNLGacreFLas7fKPo0QGkiuiXUcGUiUuauxO8M1Mh6ulkYBHPZJpyf4UtlIGUjfNL3cN8pGz0/FqVDc8cUDWlhdzrEezRbTnI2W6V4sZ/9Etm7Ry28m6L75b8ZV1B7ummKjkMvaa++5bXcHSWquJ2UKiDWgkAykMbTyFbb5qiFXiBhq6bQrb8dFkgc70SGMlrm1MX5T7Hdn+PqNXXrK87DlSsb0YiAJIrs0Z8aewRftGtUUc6slAcj3dax7eoxdPjpdG/7NWhPO68+7+VgJIwxNzOnSm9XoLbgDoyCIu/pk+jfvn2EoZSEGLGUjbBkf1nts26WtPH65/OysMuFkV25wfed1LdHJsVkNRFpL77j7z6F69/cvPxo/POtdlnUPd8dRMOQDXd0sfF6XyBuWt5Lp9p+Nt7wbp7zerWLC7QFyygKuaZQm9bHX3/v19xluhOdAVV67UU9G0G9emuO++2T5TPcGO8+UCed2+0/rIt4v9IX8/bzSruNHsd+v9W38GUvm53/8uly0p33//7y0b9fnH98e/n52aizNp6nXQOwe5/sf9W0/owe2n9IqLl0lK7i+bj57T++/ZXnWRnKzu0tmo/+sHvEoZQlb7hyf1/R9clcikDeJgbPa2p48Rd57ImkY6Ga86mfzu0xlIH39wt65ZtTv7DRcZAkhdLrTlO7k7SFu9Hv7Fa0ura+VTNZD80dfMGkjuQsoY9fcXW7isBizRIfNrIEUv73fm65VuXIYnig3LRcuam9JXzXyfKP2XSxbRLi07PdFFxSfddv3CtU/qxz/xmKTSXOpmCgM2XwNpPjKQerzT04YB3bGZfOJ4vOGJA/q9m59f+Deu4OpolaFmtDp1zM3R9zt/WTVuKpmvIvD1cHVRuq0Iv1+AXEqutlKN+7zS2a9+22+M9KpLSwGkxHTpINSS/j71mfIMJGtL57TqGUjpAFLxOX9826Z4ZUr//Pant2+O28t8oqB3RgZS2HoGkiTtPNH6tLP5qJnSqLV7hvXxB19s2/uli8kGqeBM/HMLU9jS/aQP3rdTNqP/Vo3/0OTPxQykV1+2QpJ0OurzNFJnqFqQqJlz42QuOwPJfbbpJvLwmSm986bndcv6ww2/10JJfzVZdZDcMb2Qq5o5q3cNaV20OE4Q2sR+W8xAKgXE09nq7vudi4/n5s5/9ezzvVQDaWwmr7s2Hiu7fXKuoJ/65ON67mDlpdd/56vP6+YoANxSAKmFgeh6+hpSdgaSXy9tmbf/um/vsd3DicdnZeBJya7n1mOj8Xlz96lx/a8vlmazuG34zKN79UOvuVR/8jP/XlJyf/ntLz+rbzx/tGwK9tLE8VW+f7ltq9RWPbn3tHJBmJi66/blWjWQ3OPiwR43Fd1tjVeeJb3vu/bhAq/4+KO7hjLfb7EhgNQD0iPp7iB1J5Ltg2O64sqVceQ159V4qFe6iLbfwcoOIJVnIGU1YFnT1qTkSaraSjjVuHZ1OBrVXogpSvMfQCq9Xq7gZyOVfu6mi8B8xt8/EAUMmxm1bHZEd3KuoGse3t3UqkXuI8+3oRbNwmhfZ208VQfi6od2a+2ezq1Os29oMl5ly/nG80f1E1Ews5pWA0guUO9/HnF9jzqe72e3LHQdpGansBWCUB97YFd8QTrf0hlRwzXe55Gdp7R611D8eVVb2cpIiXoNiSLaYbGIdl9GDSSpNJrYUAZSECoMrR7acUo7T4xH25N8ThyMCcrb9uQUtigDaXiqpYzTXSfGaz+oBr9/MTaT11wh0Ltv3aj9wws3ZefRXUP68pMHqy4PPZ/SH7F/6ipNc0je3nAGUmpfKmWHNRJA8jOjkllSRkaXrigOkrk+Qn8DgwrVVmFLX+CGoa3Zn3KrrFWaNtKfCm7d/PQhWVv9mGu3dGbo2dT+uGb3sB7YdlKStKQNRcH9YsDpou5L+pNTctO7leurtVoDKTGN0lr9n4wBnPlY1CTLdG7+Vvx1/vKOF/Q3d28rW7ly8Ny0Bs/NaH8dQXxrbUsBpEYDtPFHYOsfN8zKPvbb9mUDtTOLzk7m4rby517/ivh2F8Qan83rV7/wtP4yqkt027NHEs93SQRTcwX9wHdcqqUDlQtLp9uXl1xQSgBI7wLW2ngV1cR1ZNwfM9p4pFijzL9uKC0Klf33FlIBpvJMqNLvLmiWfox7DT9zK6tu8GJEAKkHpBsr13lwJ5K7NhWj689FRf7+wz88VLGmTyXuhOCODf/kM5uxZKWNA0gmXlo5qwFLripSGjn5m7u2xrdPVTnYMpd/TJ053aj2fExRGpvJa82eUlR+IWsgJYtoJzvx3SIr6OJSuZv5vJsd0d1weETXrz2QqPNQL/eOzQYYD5ye1Ee+vbPjUwsXeBaUpOIxnNXxbMeKh1nGZvJlnY/337NdJ8dma3Y0Ww3auGBMsrZO9uh6Fj8wvvABpMamsIVRwcw1e07rxqcOxWn68y3dlg1XmcIWhFZ/dOsm/eEtGysW0fa/8T5jEgEkv2OZD0It6UtO+Tg3VdqW6XhJ3kYykELtSS22kFwO3mROH8lq8/wi3m//8rP6sY+vrrgd1eychwCS3y6u2nFKm4+MatXOIX3g3u0tv3Yl7jjadORcjUfOj3RbkZweZjNvTweQyopap9qArILsl1+8rKGFIyrVjLTR+7k6Ju44r1ZUPv16VWsgpdrYj67cpXd+tXrmqeu3nZ6YS2Sfu8/M37ax6bzu3DgoqbG2cDpXyFzx8s4Nx3TDEwfKbg9Dm2gDj56d1qdW7a54rkgfmiOpaeIfvH9H/HM6ILYQBryIYDprYkl/n/qNiYOc6XIArq/m2qBm+67+687kg3iKXOIxC3A6G5/N640fWz3vNRhdgCh9rIy6gEQdwZ18YBO1DBsvot3oB+YyYKzq3e0yM5C8GrqJDKQKf/K56ZyC0OrCpf268Z1viG93m+Ayit3AxTkvw9gYvwZS8TmuRmHW359uB15ywdLS9pX9HWFcczUflJ9braw2HD4Xb9ORaHXTrBVQfe67L2UgJQNKfqy2lIGUmsIW/R0rvAykbgqSLyQCSD0gXUjbTXFyO/nRKGXvVV49iEq1ESodSOlR0iCwcQcpMwMpOob6+0zVGkh+Kr87OL+49kBimla1aQSVpnlJpUbNHeTzcZF254Zj+v2vbYi3ab5TdZMZSNlTXNIXXVNzBd2y/vCC11HJkvX3Z01hm80Huubh3TXrUDXSqfEbYRfRbyW4lpVNVY///ZXndPPThzVU5/Sb+ZZVmHehuIDNoTNTiSLpoy0GNe99YbCpbInxmeyAlpTs/G86MqKf+uTjGvVSsFsNKLtAfRCW6jC5Nqiewpb+CpMLXX/LtX3jdWQgWWv13X//oK5a+WJ8bon3sSDUR769c94yktLnhKwpbDc9dUh/8LUNcS07qZgmL2Wce/xdwShR8DNRdyiw6u8zxSls0R/np+e7dqra4EVWAMkPOFlryzuTbgpboh5TMi2+eH/p5+cPj2hofK6pAPXOE2Mtnxf88+a3thwvKwhej2f2n2no/Os+n42H27SyVVkGki27zyr5HQWhTdVtrP4e6VHnC5f2a6DPlA14PbDtRMWLZP+R/j5ibTFAecmKYsDUHVfpKWzpIFEi+J1VAylqx9LPGzw3o22Do1X3Lf8Y8gt2+/UxnW9sOKqZfKCl/X0N7Sd/c9c2/e5Nz5etKLdy+0ndvWmw7PE3PHlA/+nDj8Tt13tu26QvrDmgA6ez+8PpIE06I25JX+kSqR1TPAdS7+e/45L+PvX1ldqzfCG5PaV2Jvq9ySn7/t85WeF80mpt0Id3nNSTqcDgsZFpTeUCHRuZqfCscvmgdn1BF9RITwUbjadE1f5b0qU2chmLG1Xfzub3nfqnsGVkIFWYwpbmBmLOTuVkrdWSgb7M6bEuOOuCJf7rX7xsoBRAUjGg5AKiWceOC8K5zB2XXSkVj0P/75nJBfGxmTi3Rp/rsZGZ+Jj/6AO79NOfWitrSwMAlaewRfeHyd9LDy89z537/d1l89Fzejhqy/0pbGQgoWvMZWQASaWd3Z1c0x2VzNeqcPL2O7m/eO2TuvGpQ7ogOrCzMpD8ee5uZCZr9DvrYE9v5+RcoeLFpf+3uwu6+NmmeuepHumG7fTknKz1lvud7wwk72e/kfG3/W/v3pboYH5s5Yv64H07tTZjJG6hZX2mS+IAUvG+e18Y1L9tHtT1aw/omQPVM4QqNeRZ/BFd93Mz0/vii/8mA4ynoqKf6Q5bu1W6wAxCO29Za+MzBeXDUD/76bX6xc+Vshirrbg3kwu0L5WZkfZX39yqX/r8uqqPydye2XzFY9C//cDwVHTRU6oJM19T2KTSxVccCKqjTzeTb2cGUv01kFxn9sanDpXqe0QdvbV7Tuvmpw/XLKR+8PSkPvvo3ppBj3qmsP3TA7v02O5hrYymikili/V0Vod/7jBKpo2XFdGOpnzEGUjTubgTPVVHBlJ5rQOb6DzmgjBxkWaUXU+oNErqv3aYGPCRSu1MI85N5/XE3tMtBWLcNv/c61+h9QfPxh3xetvqnSfG9I4bn2uoppE7jja0KYCU/lsSAaTE45KPqVTUOkt6X+3vK4Zn0ofIn97+gt5966bs7fQenGwzigN6l0QXWWPxFLZkQ5QOuPrblA9C7TwxljltML2vF4JQU7kgkWGQ5g/wjHqPi7PTvQvQ5w6e1etfdbH+3WXLGwqm7zo5Hm97cnvDzLbOTbd+41WrNTKVq9mPS998JvXZ+FlH7ViEY2k6S8TbvqWpItrp7UkHKZrtu2YVDk7Leu3ZfHHqqwv+V3Pt6n367Oq9idtccfV6yxRMzOb1X/7pUT2equNT/jh34V/8vP7+3u167MWheN+uJ7iTK6QCSEHpeumKK1fqM4/sqfr8hoto29K/9RfRzspA8gJIVYpjX7C0X8uX9OncVE6BtRUzG12744IlfnLDZRcs1Uw+iIN6RqUVuguh1chUTr9y3VPxNrlrOzcI5GcgSdKvfuHp+OfZQhAPALnPMh+E+syjyX3IV/Da79AWA4Z/8LUNGvbOs+66113PlgJOSvwrlQYE/embb73+Gd2yvjiNz89A6tUFexpFAKkHVJrq5A4Ol21UTwClUjAqzkCStPtU8WJw6UCflvQbzWZE2/0pbMYUa01kNWD+RXdWarMkfeuF4/qlz6/T/VtPlG+v997p0fV0E9dMACn9HNe5ch2qRAHdeQgmVTo5++9zfHQm0cEcmSp26KtFtU+NzepHPvqo9pyqfiHfqKzP1I0quO35q29u1QfuLaZ6VyrC5zSSReP/vS6I2VIGUouN/LNdxQAAIABJREFUetYUhSyP7x5qKYPjzORcYlvdJ1bps7v3heP6qU8+3lR9KF+uEGomH8SdF3/FrGoXEu+9fbP+x2efbOjzPTYynRhh+os7XtB9W46XPW4sVZPJl7hIjzZ6rxfImisUi2C//57y+gf18Nszv9Milbc9s/mgbCTUz0BqdUW4WuIAUh1T2BJTvaL2eSAKCrvPsdYI8yO7hvS5x/YlVmDJUjaFrcpx8fCOU/pPr7k0cVt68CJZRNskLriS2RZeEW1rFYbFGgqu6Lbbd6qtApqu85ErhIn2e3ouyKiT5PaT8syPZA2kUK++bLku9qbgHczIkvjAvdv1hTX7y273/d7NG/S2G9ZXfUw1rn/xGz/yGlmrOJBXb0vtsmHcxX493PG0/fhYw+1WrhDqg/ftqLsgu5RVA8nP7skOEpUX0I8GzeLnJV8zfX4Y6O+TMaahTC5/O3OFUGPTxZpUbkrIRUsHZIw3hS2VJZDehsRKpoHVL3/+Kf3GDaWit64r9tT+M/rWC6X21+2zg+cqr8xXKbgQZ6d7/bzx2YJedtHShjOQ3IpL6SyMfMFm9jcvj1Z9kqTHXhyKL2ArBVPSbfZIqoj2gLfyWlYQYNXOU3py7+l4hdpWDXjfZ2CTRbSXDJhEEe2yoFqV7LNqTk/MJfYTv59bLYA0mw/0xqtWa3VUMPiZA2e0aueQnj9UOyg8lSto/9Bk4vM/NRb1c+tsD06NzWpirhDPwKgkPT3p9ueO6g++vtELSNSRgZQOIKWmC/ormWVvQ/I9asWE/OuxerKdpezs40pT2LK87MJlOjtVrIGUvkZzv7opbMujYJS/37gMosnZQikDKcqoC0KrXSfGEwN8btsujM6BL7kwuQiSfz6czYdlGUhbjo1q9YulYtWXLB9IBHzzQZiYwrbl2Kge2z2sF7wAp7s//a877uIZOaGN98tKx1Wjq9ctBgSQeoAf9PE75EFYnBLg9ud6MiSygkHF13KR19Jr9Pf1aflAf2bgwr2na2j6+0zmiFAi+BUmO2COO/k+tP2k0mazMpAq/JnNjPKnT8Iu0yLr88jPQ+FA672EP4JX7bXrOYE8tOOkzk7ldOuzhyUVL8bW1BiZqUdWp8llIGWN3o/WCCClO3JHz07r2xmBQyk5EuV+no8A0sM7TpYtL17rOVJ9HZsgtPr9r23Ur3mjJ42YzQf62U+t1TeePxrfZuPRkex9ZGh8VhOzhZaLr2elQDvVit0+Fa0akz7+Xjh6Tu+5dZPef095LZU3XbNGb72+dCFz35YT+os7tiQeM1cINJsPK3b+/VoNrm3xA6hzhVDDE7P6xvPHmioE7n+e7viMA0jeIbl/eEKv/8eHdeO6Q4nn+8dHo8HLRvZRqdQZq6eIth/ccH+Xy0ByH+mp8bmyqdOJ1yiUOnHVpPfJ01WybM5O5fS2H3lN4rayDKREACm5tHY623Wgz0RTPoqfSxBavTKV9dNMEW1nKlcou/hwUxuyFozwLwbzgdWS/j699mUXxLdlXQit2T1csU7Qa16you7R6Wrccft9r7pY3/XyC7XpaPH9sjJuso7FpQPZ06CqKU31szX3obTHdw/rlvVH9LEH6s94SgcKEquweXf5f54/gu0/rlIvK91P6u8zMqZy2YAs/vvNFUL9yhee0hce3x9fkPX1GV2yfEmpiHaqBz+bS34H/v7tCkRnTedaue2kPnjfjnj/dvtEtelE05UCSN7gojM2k9elK5Zo6UBjASTXf0w/Jx8WBzvSt7/CCyC96tLl8TZUyh6rNYXND+i4YzoMrTYdGdHZyTm9+9ZNeudNz+tN1zxe998kSR/59k7947d2lN3uB6xCaxP75kBfn/r7SgGeatMVpfoLXb/xqtV6mxdU9Lt8laawBVFGyemJOR2O6s08srN4MV9PQHhqLtDEXEEnvcCby8DM6mfdv/WE1u5JrxhWPAbqHZwpBDbRXrusuWqlDdzXnyuEiWuZuUKoM5Nz+r5/eFhS7fpYjU5h++2vPBsHietp4y9aNpA9hS1RRDvZWBRSg5QvvXCpRqZyCsOsukvFG9IZSP535QJIE7OFOODtPpd8EJYF/N22Xbi0GEC6LJWB5JvxsiHdZ5nuW/zI616SOD/lg2QGkhu88vfp9Orj6cEed7tr242pHIz2M5DOFwSQekAuKB2kfiZAYK02HT7nPa52Q1qpcXeNib96zECf0fKl/WUXErP5IH4dd77r7zOZy8/7J3h3wktHt91BuiOq53ByrNRp8d+71okp12AjXdym5HPiUYnUqIXU/JxyXzyKaZKjO/mCTRSEzVLtPFKailL8Qq5fu1+ff3xfaxur7IsC9/VlXXxVy1SRyhvf69bs0/+7c2vmY6dzQXyiajaAVBwpc6NFxVo277ltc90BHj+jqp6OkdtfG7n49+0fntTEXCHz+ZUO71L2SXOrGTrVPttqgUF3MeYf6+sPnNWvX/+MHt55KjOzSJL2Ras8VTohZxWxTryvn4EUfTh+BtI7vvKcjp8rfo7NBNfGszKQCi4IXjoav7mhuIjB1sHkhXC9q7DdueGYftPLICkEod5z22b99pefrXtb3SBDPX9nIRVokfzaG8Xftx4b1fu+mX1cSqV2odZ0hfQ+VZwiXLkd/YUfeFXi91pFtBMZSImVz8Ko6Gx0sRPtv+lpY1PVimhntPd+h3w6FyQuPozJXgEpa4S7EG3fxctLbX55sMzqzGSuYmDmomUDet1LL8i8rxprrW5Zf1ij0zmt23daL0QBo6UDfXrJBaXgRNZhl70tjQeQckGo73r5hZKkt3/5WV3prT5VS1y3q+5nlD/WDwSWRpuLFxzuoie0ySLataawpffVgagGV0Pb6V+8z+V15Oy0Dp2djqeESNIlKwYqTmGbyQeJ/c0PYtc6J43PFuKMwloZSGFoNV3hfOiXN4hfeyavS5ZHAaQG9hN3vKX3Lfd7+qL55ReVAkj+FJqKU9i8lx3oMzo7lcyQ9Itau77ibc8d0f/64npd52UGNhog2HF8LDMwvNQvop1RA6lYRDs7gJT+XBvJ9vaL8deTgVQIrVcTpnicuGyQSoPUPlc/a5+30uPQmJvCVr5//Pk3XtDv3bwhcZvrkzy4/aSuuHJlzRUdg9Am2m83WFwtA8mdF3NBMlg5MZssu7E0HclNaaZm1MhksR5RPUW0L12xJHsKm3eMLklto/94a6WXXLhU56ZyiTbQccfyaLUA0gWlAv+htTLGxANTQWgTGe1S6dh21z2XrUhmIPmSU9jcsZ/8e1/3sgsTvxeC0JuKZuNZAf4+7Y6lE6Mzms4Vyopuu/bY9RMuXjZQ8bhaXscqd4sNAaQO8gMx1SQzkEqNpLWljrFUXwcuq3GWvCVAvdfo7zNavqSv7Dn/7Z+f0Puii36XWpzuyGRtkzvhpB/qgg7HRmb0xScO6Kc/tTbuGPgN/vqDZxONffp16hnZ2npsVH96++aKJ+E4yl0I9YU1+xO1X5oJIA2PzyZSw10n9KJlA5rOlaa9FMIw0VlplJsu476HuXwYXzy3Iqtj5D4zf/udRjOQthwbLRvZd2byQXxymakQQDp0Zipz6qNz/Zr9ccc5H4Tx31PvFDN/5aZ6MpAqHV/1ctNHs4qRV+qEVOpMN6paAKpaEW23T+eCULc9e0R/f+92rT94Vn1Geut/+Y6yQGPZVK8KF/Huu67UwXP7zPbBsXgu/N6h5JK8Lruhmcy1RA0kNxKesS2uQ5IOAPsFmqtdNP3tv23T84dH4r/HtelDVbJ1ZnKBNh0pTRVw7WQ9GUh+BygdePa/moerrIbjzhc1M5BmC4kgST4oTiX71+eOZF7QXnZBshOZPj/6F/FGyU5xOuunP8pAcqPlkuIpbE5WG1Z6vfLb/e2ZmktmIBmZ+HtIBOkyprC5Gk1u9FXKWG11tlBWZynt0iqjtpXsOD6uD963U3991zb9w7d26OtRDYel/X26cNlA/DdkfS5ZfYw4m6hgdfPTh/T47qGyx6QVAquXX7RU3/nSFZKkO6IgbD1cG97IsupVayD5GUihjS96CkE6gFT9PTJrIJnG6v75j3XZP6PTuTgDSSquxDZWIcg3mw8S2+G3vcerTEdzXDDR7b/HKjzHn+qc5m73L0LHZ/O6ZMUSLenva2g6rzsm0s9xx0S6vfMzhvJhGE/xq7wQQ+n2l120NM7Scvwi2u4zcSUj7ttSud9Rze5T4zoxOps53TiZgZS8b+lAsT27a9Og/vqurcqli2i3WAMpCK3+4o4XtMUbCKk8TdHGfc5CaPXC0XM6E03/m8mF+ru7t+lv784egCgEYfx9+rUTT9VZA2n1riFdceVKHYv6t25a1M4TY9WepkJoE21sVlHmNNcnn/OmsF12QfH48883S7y++6qdpxKD4MX3aG7w2aq+GQgXLx/I3J/84yZ9fZE8dqxedmFx/w/Cyqs7xoHr6LiYzZjCNjFbiCP2fg2kShlIF0X9g3QNJN/UXCF+b9f3SPd3yzKswmQR7awAkpv9cmYypy+s2V9WiN6dA12//pIVSyoeV0u891860NeRRY/ajQBShwxPzOr1//iw7tqY7DhlXUgno+bJ5VL9C9Z6ViSoNC0h6wJpoN9o+UB/WYPud/xdQ5NVsd9tkzMZnXDSj/SDNDeuO6RcIYwvZv3tvXb1Pj2445T88cQg42Komif3ntYD207GaYzlAaTitrx4clyfWrVHK71pdc1MYfv9r2/QX36zNDXHbe4ly5ckRkTygU2swNEod7HpTiK5INTwRPVpKPXIvGCIOi5Tc4WyTo6/f0rFgN3nVpcyofzva2I2H49AZX22s/kgPrmkM5B2HB/T4TNTesvn1+nPv/FCxfpU67wlaPOpNOR6+KNas3WsrFAtY+7MZHbQav/whK5auUvW2jiDJit1vNKJK99A8KCaatkr1Tp1rsmZy4d6cPtJrd41pD2nxnXFyy8sy/iQyoMplerQ+JkQWd+vG+n+n9c9FbcX6Ys411loJjvLX0HMdVpcO+n3r1xHOh0om/ECY/UEt10GpzuGqmUkfmvLcf3GDevj/dPtd/XUQPKPadf+xFPYvMdVu/B1+9yLJ8er7hvjM/myaWOHzkzpA/fu0G988Zmyxy/t70t8trWmsC3tz66BlA+KAZo+Y2Stjc8x6W1Jj0qn70tLZyClL9rc51+riHauUMxAutD7jtNttWsvqp3XVixp/Jzh2trTk3Ma9kaFlw70Jfa5rO8/fSG09dio3h5lyk3nC7r6od264/lSnyZXCHX7c0fLjl+XIeaWpW+EOwYbGXBJn16yprBZFduaUt2OMDsDqcJhkd5XXQ0u/2P8uX9eW307vce64M3IVC6eEiIVL7RcQD8dGJmpFkDKCNimawttPloMHrhs7sEKg1DVMvfS+42binzpiiVaNtDXcKaalDGFLXBZt8n2zv84gsDK7SKV3tPf1OVL+jU6nU8Ef7OmSbv6L7UyXrKMz+b1i9eu0/HRmczzbaIGUmgT/fklURFtSbp702BmDSSbsb31Ojs5p/u2nNB6byEU16dITy0uhDbeB4LQ6pFdQ1rSb3TRsgHNFgJtPz6mOzcO6tmD5Yuq+AMr+7wBH9eHrbWC1dUP75ZUHjDKGnTz95t0W3/gdNT3rBLccZ+3P4XtFRcv09hMPlHjcGmUfRKEVu++dVPcJjqtzF6oZwpbxQwk7+9dkrq+SB/DL7mgmIFkrVX6UsRtwt5ogNNN1fazEC+LA0h5WRWvDf0aSMNlGUjJGkjpwSOpVFT+1NhsfKzet+W4zk3lyvp06QyrvDcwXZzCVty/XJ/wwOlJrff2z0NnpuIs/7BCU++u27Kus/0BjZV/9lN1r57XywggdYiLtqZHPLIupP1GIFkDySY67/mgcmfYqZQhkTVK2m+Mli/pr5p54Y6ZSnOAEwGkCstp+llU8QVR9J7pot8nvU6QkUm8fj0dk1IUuxS4cQpBGN/vLub85WOzLigKQVgxMCBJR84kR/Bcw+M66q4xK05pqN7g/MntmysWa3RzydOf38nR1oo7ZnVC3Gc3nQ/KsmLSRbTv23JCn3ustFKC/xluGxyL97esk/hMLoiLzJaKaBd06MyU3vIvT+lnPr027oxkZZgUglDbvaJ9+SBMpPRmsdbqkw/vjjMr/IyqelKz/f3VP6FvOnJOb7xqtfYPT5Y953dv2qCvrDukofG5OANp0uucuE+mUoewlIHUYgCpSvChnuyrXBDowOlJzeQC7R2a1Pe98uLE0qZOuo2qNMrpdxCCjBN2PUXt3ahTM1PYJjIykNx+6jdhLrMy/Rn5Hcx6AkhuG900igurBJBGomKXru1pZBU2vzOb7nT7H3O1sQi3zxVCm5j+kDY+ky8LIro29URGW2aMSaSCl19M+BtVeQpbIQy1pC+a8uFl6r7ay0CKsxsrXLDUk4GUnsI2mrGyT6UMpCX9JhVAKn6mdzx/VNc8vFtnon1345FzFbMsmync6S5SJ2fziX02HUDK+v4TdTOsTQywHBuZ0VwhTLTFNzxxQH9/73Z9KzWNNR8Wa0D5GVhZdp4Y03/4h4d0wjvvu898oMa0EV86qJGcwpZ8XJ8pfkaBtYl9wNUvzGqLpGLmha+0Clvp8VmF0ittpztO3EWd6ze5WiVSeZ2bmXyQqIPk1ylKDzZK5VlmZRlIFQoUT1UtPl+6aJNKgfhLlg/ERbRPjc3qcI0C/MXtS25vafuzM5DCVADFDwBk8R//PZdfJCk5DT9RpzJ6z3qmqhwfncn87B70VpqcmCuUncP89iy02VPYStuT+kxCmxm4rlc8+Oh9Vu588tqXXpDo4wehjQd+hidmddfGY3rT916uS1cs0dDYbByc+NjKXWV/oz+tcu9weQZS+jzqb09xWm/2OT2rfMKoN2OjEIaJzKATUd+42vQy11b611Yvv2iZRqdzib6hm3ro+gzpfnchDJuqV2dt+fVSlmIAKSsDqfRZpgPuyc+1mIE3lQs0nQsyi2g/tP2kHovqqrpjwT93unPZbCFahc3UqIGUd1PYolXYLizPQHIDRH6trCNnp/Xe2zeX9VfLA0g2bqutLQWw3HWoqxHrFu4YHp+L21N35KXPG5esKP6NWceW//7pbVmszo+/sgst6e/TpSuWlI1iZF1IJ7IavJ9DmwwYpQu9ZalcA6n8ffv7jFYsKWYgvefWTXrz58qX4XYNzUCFAFIu42Il3Tj5S8C6IIrr7KQvNt1oXOn1k39/La5zmzWFbWwmH7/2dEYAKStAddemQf3Mp9ZW/FzLOq7Rry6zZtpLAy6OmJcee/RsOvgkPbkvuxiwO6m6NGL3uWWNOv7h1zeWZb45hSDUZx7ZEy8LnT1loXTySDeko6mT+OhM8UI3LgTtfR6usyqVMhp807lAF0cj1O7zHZ/J62c/vbbsselArCTtPz2ZXMY4tDWPj8FzM/ri2gN6dFdx+o4f3ExfIGTxj0//uB08Ny1rSzV6Htl5SjuOF4NbbhutbDzC41/YxwX9KnQIc3FnurwDEYRWv/PV5+JC19X4GTdlf1fqIntsOl+2z49M5TU0PqfpfHG++uUXL4tHa33poLDrUC5PZVP4F6JZ7VOlCzmfu/BsbgpbebFFt//4aeUuAJb+PPyOcrXAvmsO/+wbL2g2H8TnhGoBJNdxKwWMw3hbagXW/A6zu0CqNgobhFa/ecN6ffWpQ/FtuaA01adSHaQgtJqYK5Rl/VS6KHX8/aDaKmx9JpmlVVZEu99NYStluX6nVzPIpdxXyqbI+hxnU9kdiWyF0Hp1u5K3R1vvbV+ogb6+RIDVfYdX3rNd1689ELflUrEGSJqJBnga5Tr16ZoUS1MZUVm7kd9+hlaZgx7+sZaeNjB4blqj0znlC8UBkwuWVd/+2549olwhjJfqttZqV5R50MgUtjR/d/eDKMXR9+J+UwhtYp9y5/JKF+ZZNZCMaaxWk9NnFE/RGYmmsDl+ACkd5JzNVc5A8p2dTC6J7ewdmtDkXMGrgTSTOdr+/7P33VGWVNX6X6Wb+naOk3OeYYYZYAYYhpxRQEQRxfRTDKiYUMyBJ2afGcN7+syKqKASBclpZIgDM0xkcuju6dx9U1X9/ji1T+1z6tzuHnUt3wP3Wizm9q1b8dQ++3z72982sT3IdAFaWujVMRHta25+Dm//+bpqu0iYHtvRe6eDCCoDJ5CxZtVOnmGI42c34zeXr8KFyycBUJlFnEU6HuZbEJWBHf+FvyrC1GTbu2PQLAyBQc338DhaF9H2HFth+psYSP+IZifNd3Svebc/x7aUUmSfMZBuW78fPcNlvP/0ucimHNy18SB2dA+jIedh/Z5+3PGcWtJK4GNjzpOd2AplX8aOWw4OKkklHtf0FypyO91/mUq+eTy6u2cEF7LGHeTLfv7ITkWP6tdrd2L61Tejd7gkQWrqwpZybDTmUugbKSuAFQF/FEPpsUzZDxMMoPHaP6aBxCtKkgwdbk0RgNM1WExIknQPlvCxG9djyaR6LJ1cLzqSaowurlcaQrCW3HFoIEkRbYMGEt3Xvdo6Zn/UOIab56rnXPEDBczuHIwTMt+/dyvu29yFWa01aI6u+8BAQb4/koGkvULEmDUll7hf8MboePdisZfGVf4vNao55WbS++AvKXcIQSiYJinXhucINs5YIEpVAMmAwju2hXSkgXTbs/uxwdCmlya0akASP59BCSDF3/MFwOy2PN68eoY4z2jxrdP6+eRuWSrwMJ7ypD6N+s2dKJ8QiNmyj01Kq794N/72gtqidHvXEAaLlaosCt3NELKtM5DKvsiYc3BtzZfvTuyvmq4RTZTEXpAAkmH7OzccwFU3JEVLK36A91//FL751y0yY2wuYQvkd7oj1RlI1PaTNuPB99+YALzpOAWmgUTvSTXaeLeBBaYvbMuVIAFehGGI6VffLDV0iHJN18XLK8fDwuH7LxjYSDQRXv6zdTjvWw+I84qu/WB/UWbhTIvasRhIpjF4cKCA+zd34d2/enzMc68GsqQcGz95eAeu+OXj+O49W/CWn/wNSz97By79oUrT3rhf+Ac/CFEsi+A9Z2AYcB8UBKE877SW2eWLA5N/MgXIkxqyymfKXI2ntAsA1m4/hNsj7R/T8U1d2GiRpi/WhsepgUS1+0/u6sU37tqMB6OyS8rMHRoqSbCRjMYHZUHJTwbh6OUl4hri+zYiASQ188bthe4hrH3hEK7583OyE07FD9CaT2NCfaaqDhIF/u11QtiWsonVdFXonnJQZDQRbcsCzl82EVeeOgdr5rYmtJ1c2xJdi8K4Be9ENj7qooC12iLb9L6NlNX5jG/DA1pd0BtQg1EqsePzZbUSttGMM5Bofn5ubz/29I5UBRIJ/OT+wrbEAkNlIBnYp+y6/MBcdq2wpKN90Ly2+ot348yv3ydL2EwMRW50Ch+/cT22dQ7ihnW78auoRO6fzUAKQ8gW1q5tIQhCZV4ZDUAK2RgjExpI1uF1YWNlUhQ7FcoBCmVfvh+NuRQGChWlTTXZSNlXgOtqQteS+cz8alttGkEIPL27V9Ee6jSMQ3pnTItbuk9hGOLZvX24OGoQIAEkP0DPUAlbDg6OuyNbUjBaZSDt7ytgZ/ewWsI2LgaS0HNZObMZzTXCT/FnPlzyccnRU8Q5RDsfLRlw+7P7pTbSgf5i4rx17cU+LeE2qgaSxkDSm8aUfZUxR2yKU75yD75y+/MARFLyZ4/siI/Btqf5juaq2nQs1m5bKoD0owe3SyCoa7AEx7Ywv6NWKSk+dmYzAOChrV246rdPyWdA4OPSKQ0YKFawv7+ggD97ekfwxh+tjc+L+VUe/+mAEQEUB/sL+NZdm5XSZQDY0V2d8XbRdQ/JZ/GjB0WiZH9/QfpnEtFOuTbqIw0kHusS4yTuUqbGPRX/8DVO6cmMt4TNNI+pJWyjMJAQV8V0DRYTx6xEcdrXXrUU2ZSDB7Z0SVCfjHx5sRJEzKl4PVjxTRpIwqdR9zJTFzYTA4n+roPHupA578LGS+g27OvH52/diEe2deOEOa1yvCvvK/kw7XwoZhibgfTiL18D/g0g/UutqSaFQ4NjM5BKVUASqunNuDY8xx4XgFRt8jMd13VEhnM0jQu9hC2fUR0nn0Bp4uDOqY5t/5f3rcGJc1sBxAuH0RhIQRgq531YDCTqqsR+zycECrD02O+uDarT7JbCgYfHQKLJmII9CqiraUmRVdMkoOui8UT3YreG3OuOr1QJcLC/gCAIcdUNT+OPT+2FbcXgh2mRTs+0VAkSnYp6h8tKwExaDQcHCrjkBw8r1N7HXjgkHa1pgT1S9hMsjGogjomB9NRuddFd9pMMPQINvxt1VHl0uwAI6boPDZUZK250AKl3uKRswxeEFOju7hlJ7IeeydMRSFCbcZXFXTjKwgWIn7VJ54cC1tQ4MiLVQJa2CAC4+el9eGBzl7xHpJdBxruSjJT9CEAavYRtoFCRLLyMZ6PiB3jrTx/Dk7t6lfNZ8uk7EuC6SaNlbnte+bxHYyCFYYgf3rcNB6sIVH/mT8/iS5HGwkChLIMS2YUtOgf+LMiv6T5guBQv+kwMOzIOnF13z1a5QCYg5aLrHsJ533pAea9iBlLcbIB8is4C1I2fOy0wdfFIbhv3xWUGV93wNA4Nic5gnmtjZmtNVUCI7nlz1Bkp7dmoTbtKa3DOZKBgk5dKjKqBBAuuY+N9p89FQ9ZLsIHcSIOGumnZljrf1Ed09GpsClMbbLVkPFCOqTDmDKUknDFX9kU221YAJPV44wGQMuz9uvC7D+L6x3bhnG/ej+O/8Ff8552bEtsfHCjg1d9/OPF38g/c31Yr2SYLwtDoV/h9oAXqx29cL1mQB/qLUQmfbQSYq9kXbt2IHYyVS+//vr4RTL/65kSbb276pSiANAcdohI2J2IgdSoAUrSNtrPr7tmKb9y1OfF30YUtHrP69yZgiTbRBWHLftyFrSkvFlp0K1RlAAAgAElEQVQ9wyWjBhIvLxuuMrbJf/Dfr4wW/E/s7EUlCNBWK97b3T0jKFWCRPmmuMbk8+etsz9w/VMxozIVl7ANlXxUgnDURT2/P8kOYzTnibG26vN3Yc2X71ZL2HwGIFXVQIp1kprzSVmJkZKPbMqBa1ty7HNWEmealP0AL0Tj80sXHQFA1fgBkgCSPufyRXBiPEWMSnk8gy4Uj8fo2W7rGpId417734/gEzeul8+P+yQOgFsWUJvxJKPGsaHolT20tVsBEDrqMnAdW7n/tP1PH96B367bLVk+lOBYNqUBgGh8oUszPMYYQZyBdIh1ydP9I831Nz25F1/9yybs7hnRuuiOvj7Y1iWeFe9MSqCPqO4Qyfr6rACQek0MpOhc9ZbulSCsWqUxlo1HRLu+SgcztYRNfVeL2jtB458AQd1edsREzGmvlUDJ+5i2KwBkI19eLPsIIUpuyT/0DJcS978Y6QC21WVQl3GNGkjEKtJFyV3HSjKQHFsBtCtBoHQuNpVGnjCnRcbPwsdRIk1YooQtGtMm9jsHkMbqyvdisZfGVf4vNU5FJjMxMaoykCINpLTnRABS+PczkAzHdWx7HACSGvTXjgYgyS5s8VtOiG7KtRVKPl2nzhjhk3ugUczLfoBn9/bhg799qupiW9dA4tfNsxXVAq/Hd6qtV4nxUw3Y0P0MBdRUmhVrIFFXntEzsqa2umU/wGCxgrRrRzXMFRkw6QwknZ3w3w9sx2lfuxfP7OnDH57YgytOnoUZLTUywDQFXlJQOAgTAWzJDxSRRGJIPLe3H49sO4S1jME1VPKxdHJDdA2mbL+PmjFKHMj4uLh3UycO9Bfw1K5eLJpYx84tTIwnClxoAl4bgSM0fnqHS2irFSU4P39kR9Vx9eSuXiy/5i94hjFFVKBEjLs9vSOJYInu4dMRk+PIqY2KiDYdsaqIttRAijUMqEyIjjUuAMnAQMqnXQUE2tE9XFVracP+AeWzYyNRYkN0dbIDA7FeQsZzsKd3BH957gDe9cvHE4yojdr+TfdjeovaypXOlQLhPb0j+NwtG3DZf69N/PbgQAHP7u2XQUR/oSJp3bLTVDROObBKmT/dTw4VK5IeTde4dvshWXtPpi8WySh4oa4//L2iY/ZIBpJgBAHACV+6G79auxPXP7YL7/7VE/jxg9sRBKGx6wwthqijj2mEbdzfD8e2cOMVx6NvuIzP37IhEv23kHadquUhdM8nN2axZm4rvvva5WitSyuA057eEQmy0VxCn9OuLejwzIkqXdhYsOg6luJDykEsou1HfkosCOJ7TRnXw9FA4u+0r/k/PgeYurBVtMWd61gKo+BwASQLqh5LoSy6IJL95blkN7SfPPSC1PfjRgEvTwCJEppQKe/QE1h6pnVOWx7DpbjlNX9H3/LTuA1392ARrmMdllaEY1toycdZajoGdWH6+SM7q/5WB2v4kCXWXRhtZ1ui/bsfhOgaULveVvwAD2xRy4G/eNtGfJ01iuDna8GSY3astutAPL5NpYk0VJqicdszVE4kcEZKPgaLZg0fAFKPjMYqH5PttWnMbKkRAJIfYkbkS3cdGsb533kQ8z9xm9yW/NnHz1sg//aOn69Doezj+chPB5qvT7k2Uq6N7sGSZPmYNAHJuJhzsoRNnLc+Z/FXthIE49JAIr/DS3ju29SJMAwxXPaRSzlwHUu+x3TvJjdm0ZCNx+NQsSKf8ZFTRVyjCz0nACStbJyzVPQx60SMSrJkCVuoaKia5keaDyWAxBlIDKhxLCGITX/TGUiA2hF6YoMYV/w+Z1OOcSFNCSPSntneOSiZ1ybmBr9H3Szhrl/elkgegOaXwWJFqSoYq0ut7NbL7iEBINSFLeXYaMh6KPuhEltvOjCAnd3Dcjzq7y8liA/H6PmPq4TNAL4AKmimM6A4ABmGoQRHBosVYxc2isUpXtHnkZynMZAQrwuJec93S/fzkqOn4O4PnmS8P1T2pzOQPMdOPE/PsfHg1afgo+fMF9enddHUzbUtrJzZbPQN1RomSA0kze9S0oGfy0vBXhpX+b/UTG1DTYwPlYHky4HqRxpIGU8wkEoGhoVuh0PXdyzR5WU05J4cggSQ0qoj4+f+QtewFFcjo0kpHb1wFBATcq4DHoeGSkzgTA3Cyn6IG5/YgxvW7a5a6tSvaSDx3/NsBbU21u3p3b3KxE3HufaWDcqiYcvBAWw+MJC4r+SXGiOHL0VXo4z5L9+6KnE83k7bxECihfasSASSO9s9vWIyDYIQQRAmOl49uasH/YWK/M2aOa3IphxjgEn74SVsJgfNgTg6Nxp3OniyeFK93JdulP0bj209OIgPXP8U+kbKeMOP1uKsr9+HjfsHsCZitAHAXzceSJSJ7O8X97M+52Ff3wh2RsALnc+h4ZLMzOzrK+APT+xBseLLci2yF7qGEIRQFhdFrdwFEBOpXs9N4+bp3X2ozbiY05bHoaESbn92P3756E4Z9On32g9CfOqm9bh1vRgftN0nblyPE750NwYKZRyIAtZdh0bw2T89J3+7+cBAYoFqYjDVZz0lUNvbZ2bAAUiUuJoYSCU/UBbK9z7fKTPmHEgp+0EiuH5CK5UyMZD0EjaykbJY1BJY8PyBARzzuTvRO1zCt+7ajP19Bdz7vNAX43pbJOxI2gkSSGJBJgXjiS5sZR8T6sX5ED3+kzetx7W3bFC248Hmne8/EX9612qsmtmUCGw4a0oCSFF5mx+EaIkYAwDwkd8/gw/d8DT+9NRe/OZvu3DTU3tw3Bfuwr6+EcUnHYzGx72bDuLC7z5oFJnf31dAW20ay6Y0YPWcFmzY3y8DYmIU6PZC15CkrDfmUvjpm4/BCXNa0VabVv1Tz4gMtmJx5xh40n08f+I8yPVsW2GVVKKSYCcqReLlLGS0QB6qMieafBtfEIeheWHamPOMDCQ92eHaKgOppPmmzgF1DjPS5jXdh6d3JwHsh7Z24bb1Qry3WjabAOY8A+zDUGTzL7ruIfwpEvF+grEO/TBMBMqnL2wHwJi+7B3lcUR/oZLouGcy/o4LHZY4vtA7CFaCANf/bRfW7VDLzOlaqu2XfxcEcQmbH4SKjwxC4Nt3b0mUblQz1xbXV00IulgJcPfzBzH96pvlvEjxEflCKv8E4k5IBHR0DxblOCO2UKHsK35cT2xNaxYaYMR85uM04zlYNrUBT+7qQckP5Puxu2ck4dvJ5526oB1vOn46AODW9fsx/xO3SRZOEKrPPOXYsoSN4pgtBwfxowe24xYmxk523b1b5b+/9dct+PQfn5WfySfoc5behYx8hA58/nXjAYRhiCCIE5qNuRQsC/jqHZvw+h+txe8e3wM/CNGQTUmGPxBrIX7wjHnKsams0LEtzGrNoyblJBoMjMVA4owuPSTSgYSkiLYaj+kaXkAMFNNxq5Xg2raFfEYHkNTYns/jNO8qJVOOpTC0aF8U009pFMLcnYNFWY5G8T/31b94NI7F91dhDgOiKcNAoSyTZ8OlihLTj9U1jwAhinl1AJJK2Og+8ERI2Q9x8fcfkoAo7465bschdEWA+eEYPZnximibjMe7Opinz6v8axOARGOTXjE9KZn2hL8jDSRYMWi1J6o8mFgfx2fFSAfPc2zJUtaN5seBQkUZSynHNnRhszChPovFE+M1hR4jNjOh7uVTG5FPu8aqHF3HjayaBpLOxBxPwvbFYC+Nq/xfak01KfQMl5Q6ZHMXNlYWUw5kcCEZSK4j2qNWxi5hq6bVYwKuXGIgjdJ9SjKQLHMJG3dSD2/rxq/W7lKCWKLM0wtHToICjyd39aKFORdewuZrE2SpEuC5KNCpllWWGkiGErZDQ6NnKOi8eEkHZUTueb5TAXpO+9p9OP0/70sE/eSQJjUKR7q3bwR9I2Xct6kTxbKPBRPq8ObjZ8jtf/vYbuX3+/sLiU44FHzObBUBHwcoKKuy6vN34dxvPZB4/psiijVR9XMpFznPTWijkJWDQClhM2nTECgWhqH8NwWsOhW1NQp89XFL5ZlZz8G89trEMXS75Zl9+N3juyWDqGe4DD8IsWxKA254+7EAROnEXSz4v/LXT2B/n7ju+qyHR7fFCw96bj1DJaU2e0f3ED5x43qc9fX7lQw/BSpcD8ZUwrand0TpPrW7J9ZteP7AAOa118ps59t+tg4f/cMzcltd4+WKXzyuAJ2UkXlwa1d07mUFdKDafgA4/T/vw+lfu1e5hyYNpIacp4zh0eQ8ShW1k6BtJwGkQknthHfbs/uZiLYj3/tSJUgE109rAJIJK++ozyT/GFl/oaxkzQ4OFPG7x/fgq3/ZhCt//QTuYQBSseKjWAnQVKMGZrL7WOQ3wjCUYE4Muopnc//mLjTkPNSkHPSOlHGgv4CN+wcSOmEEiH/5lUdgdlseSybXI+M5icDmV2t34rp7tuKBzV3ynj28rVtqabVqQVhzTQqvWD4JAxFAXCgH+P3je5R3mtgCXYMlPLGzN5HpA8ScQUB/bcbFYLRQSrk2PDcJIPUOl3DSV+6ROmuUtQOAttqMMp52945IbQYKFmkcTm8W/mz9nn7ct6lT3m+TuY4ln0kQhKIduxMxScJQMDy1FdjsNgG4D1fRjDIzkOKx62sMC7LmfFplGzEBdrr2SiRCrmogaezIftVXmliuo5U3kA+/9IeP4u0/Fxpo1dYitLjgXdFCxMkI8msfv3G9/D6Ikh5kZy5qx7wO4avpGeo6TGnXlswDHXwyijWzeZw6o5EVIx/xpduEvkv/SBkfv3E9fmZI/ugLAcWnadtRNtlPlLCFkg04HnMdoYFEh9Lfk1IlwC8i1tRTu3ujY4iYiuKh+R0xg5aeHc3zG/cPwA8CzO+oxYNXnwLXtjBS9hX2ql6eSaBQgfkqsoxnY9mUBnQNljBQqKAu66ExSqyQ0TMi0L+GsUx0gFbXhUq5VmIRu6VzEJ/983N45y9Ujb71e/pw/+YuXL5mJgBg56Fh/OLRHfJ6pIh2QWcgqcCtiYH0owe2483/8xhuW79fPm86/8ZcSsZID0Xz6LTmHDzHlu/xSLmC2W15XHDkJOXYg0XB/PaiUrMFE+oUBlLFD5SmHECSQZVigLA+Zi3LAg+3xtZASvqntEcAUjIpxRkd1KCA3mPHtpQSNkBNkFGihcf7nmMrCUBKotDYyWdctORT6BwoYn9fEbmUI9c/OZZUoQQZUF0DlLTgNh0YlOLzg0VfZS+NBSARA4mxjGMNJJGcT7mxbptJg+kbdwkmIr/ui657GLc/e8BY7vnPsroqABIf9/r8V1bWESpoZDpVKeUQzYFvPWEGjpvVLL93LAtp1xbzWBiVmEfH/NVa4eeIqQaIUrexmDp8/DaxONzEQCKfSXNSxcBAmtocN9G47NhpAMzJa/oZfwVd25LPVd+vfr/+3nLF/2v2bwDpX2jNNWn4QYi+kbIMtKqVsHUNFrGzexjFigCQHFsEJjEDSYho6wwL3arpPZiYS44tSspG67hBwBEF/3V6CVtFfdEe3d6tTIw6gJT2YiX/IAjx4JYurJ4dO6nBYkUG2kEYKvsvVgJsiMCd4XLynMusvKpiKGHrHR59giHjZWzdrCZ7PBpMdO35tIvGnIe9vSO4P+qsRtkV7nt0posfhEoW5rv3bJULSMlAitD+uoyLfb0FISA3UMSGff3KsyyUfalBQJmxbMpGJmIghWGyRE3QpClDY6aI0gJ5ONI5AOKgQWcgUUmCPu5p4sh6Dq59xeLEMXiwalkxk0Lv8NSST+Oo6U0yQ8bFiG96cq+8l/m0i0e3d6M242JCfSYW0R4uo4nRgzfsG8D9kZbHW3/6GNbt6MFwqSKz0rwu3lTC1jtcVrrPXXSd2qllXkctaqN34guvWIJXHzVFfsc1We6NAMvJjXFGhwJfEsIdKJYlo8pketvb/pFygkJen/VGbXOrA7W0gASEb9Cp3CNlX96XU+a3Yd2OHmyLFmUpx5YLjrIfJoLr5w8kS9j08TelMYdq1j9STvgy0m3qHS7L97BQCSTg11QTgzIh8zc0XouVIFHacPMz+2R786znoCGXQu9wGfdGIIiuEzZSCvCaY6biYvas066NYlnNKP/w/u344m0b8Zk/PStBK84M4OU9ADCrLY/6rIf+kbIE5m5Yt1sBzXXQQhe6BMS4Ij+dTwt9rrIfSgaSXn5K2mOU8eXZ0bZaFeTa0zMiO5actkCwV+iSp0UA0kXXPYTX/yhZcsjBEM4QoOdBXbCCULw7jja2yV9yzZiuwSJO+eo92N41VIWBpDIZTNnLlnxKKyWJdBXC2DcSg2tKE8vIlgN86664FEpnm5qSIqPFqabET7XNYwaSWsJGz65nqJRYMPlBqAizfufS5RJsl23mtVs4uy0v26W7jgp/mQA77gNCqImuUsXH1+7YJEtbH9/Zi5IfYNDQYl7fNY9B1H+LhbpjCRC/a0AFkPTuRLotjcAxQMxRQgMpmawCxLtHu+MZb9uKn8f8CbE/JSZCe10GkxqyWLezB5UgRDYlJAyynoORUqAwSfQxQ+8U+Q8+xjOeo8wnrm2hrTajsGYIeCDQNZdyJcvg2JnNWD27RW5LCU6ylOMkBmC1ErYf3LcN+bQr2U2AuH+/f2IPvnP3Fvk89XJq/pzLfvy8eGy241AU8wwWEwvnJsZQ2NYptpvRUiM0kAJiIPkSsPj6Jcvk9oPFSpREEc9u8aR6PLe3X8b2vazLL5metOEggw6o2palgJ3GLmxK6WyQeP6kt2diNXOwRZawRX+z7WQJW8HAbuH3mcYkWe8IxYVinzVpF621aXQOCAZSR10GCycIwJTGPzHy3n7iLNSknISmJ9nyaaSnNCBjwKHoeZD1jAEgkV4Vb5ihaCBFJVcU0wQh8LpVU3HCHDHmZ7bUSB9GY4A/w8MVVqbfjldE22RqCZvGQNLmLv4emPwcXRMBh3PaapWKCTtaLx7oL8CPnpsOmnUkGEijQxCc1d1YwwEkswYSELOeykGSgTQt6sI6v6MWL1s6EYB57RtXucS/z6Ucue7QY2KdsTUe1tiLwf4NIP0LjUpjntzVi1kfuwXX/21X1RK2oz93J9Z8+W5Jo3QsS2ZA064jS9hMAW0fWziZwCC9owCZ61jIuMkFArcEAyldXQMJSKLCpPlDrKqMSwwkHxv3D6BrsITVc1qVfcjgNFDbsu/pHZHfnfX1++Vi6BXffRCfvGm91lUpCdiNRnG9IOr2016XlgDScKmiOGgT7VM3HuBMbMhib29BTvJffuVS5dwAVcCW7ImdvRguVTBcquCH92+Tf58VZdSpzGhmax6VIFQCf3r+KcfGloOD8nwoSMx4TlS26BsD+oofjtqFDQA2HxzEN+7crNxPChr0chFil+ljjBbj2ZST6M4FCK0NMlqQAMkOTxTY3HvVSajLuAlK+TNR5rfih3h0+yEcPb0JKdeWgVjPUAmNNSkZGD+zp1eZeJ/d24fP/PE5CSpx48Ezp9tSOQiQbEU7r6MWb149AzddcTwuOWYqWmrjSZO/SgSY8RI9mlApQzZQqCid6HibVZP1F8pSF4asIecl6r256WVwSybFCygTA+nsb9yHN/2P0EI5f5mYwH/72C75vdTeqgQJAGnTgQGF0RCEYYJRd8Tkenz83AW4/0Mn41MvW6h812cAkJ6Onv/zBwbQX6hg0cQ6+EHcvYVTnjnjkcY9BThNNSkhKh+ECgutJu2iLuuhb6QkASTqaEJWLPuJtr9p10HJDxSAGgBec8xU7Okdke8Tf/1aNXBmdlsedRkPA8WK1HTb3jWEtdu7le04K0Afj4AYR+TX8xkXAwWRaXdtwZTQ55wnNXF1nrluq9MApN4RuLaN1bNb8IWLlijfTWtOgoGKiDbXQIoYI0Ac3LlR16IgIA0k1T/T/nuGSzj5K/fgl4/uxK3P7MO2ziH81/3bxlHCVg1ASis+osz28+i2Q5h+9c2RBpKNC5ZNwv+86WgcP7sZw6WKUraji6GbAKTRphwjC7fKDyQDmL2vQRjKhNSh4VKiq6Ufhsr4cx0bEyIGILFWdAbSnLZ8nDTSFg8mbTXuN/tHykrgTgwk3UyMMr27oIlVGUaaT7YNOA6VsJXkHBWGauLC1LHwvafPxVVnitImAjAHixW88xfrZDk5WakSgO8NiAEsujdz22rlI+NPbtnUBjy9uzfqhCe+ocTPYLGMrCeYQXpZ7YwWMeZ3dA9jW+egAnSmPQet+Zgh4Dq2XOCT0Zw+WPRlSRot3DKejXecNEtuSwlOMs+1FJDCsoCtnTGARGydPb0j+PPTe3HpyqmyMxrZJ25cjy9HHcUAkwYSZ+DEJUg620IcX+hT8TUuB5C2dw3BsoApTYKBRDpxI+UYQFo1sxl/eOdx4p4QMzO6Hwsn1mGo5OOFKElnSlDqZTj89dSFeh2to19SRDvJQNJZi1K/RpawJZNcQFTCpmggJZPD/N7TGOD3OeXaSgKpd7iMUiWQQvg5z0FrPo3OQdF9tr0ug/9+w9E4enoj604cIgwF87Upn6raRGZ+Rx2ynoMHt3TJMTdUrKDkx9c/GgNpUkMWT+zqURrDCJ2/GBgrRmsvzi5qrknL+e3MxR248tQ5AGKgm/uZw+kayW086wqdHQYI/8MJBTqAxRlsYRhqSVlDCZvW8EZf69mWBd8PcdOTe+EHodBA0o7JQUi6n6MZj5P4u2lbVsK30Rgk3SR9rZlybLRH8xMfl8bEf6j8D4CI5cjX6rHBWImFF6v9UwAky7LOsizrecuytliWdbXhe8uyrG9G3z9tWdby8f72xWz0Qjy8rRthCHzod09j88EkYFCs+HLSK1YEYGTbcYZHaiBVzCLaSz9zB1ZdexeApPAZff/EzmQrZse2lIDSZFY0gmjiqNaF7advPgZHTm3Atq4hZZJLlrDFQmwPbBELLp7VAuKJgFoxkul1+tQx7fGdvfjpwzvU9sIBlRXE56IzMvh5feis+Xjf6XOxfGqjBJC6tQ56cdvd6iywWBjPwsSGLPb0jMgJj7KXyqRueF7v/tUTWPjJ2/HR3z+jLDJmNKslbER158LOtL+UaytjrTMC27KeIzKZZd/IhuMlbOWKWQPpmj8/h/+8c5NkYQDVtbeonlwft7T4yXqOUVCUOjY05jylxJF3eALiSc91bMyfUJcACR+JytZ2HhrGts4hrJzRJDvwlCoBBooVNOZS+PlbVuKT5y3Egf6iEohs3D+A7VU6ydzx3AH5vAcLFal71V+oYMW0Rji2hYtXTFZ+M7e9FrmUi6VRhxIukkvj4r/u3yZL27jmDy3A6J3a0T0k9SiAGGDgC7V1Ow7h94+LMsn+kYoySQNAfTalvK96mYLOcFo0kQFIlkrlvub8RThr8QT5efGkesxsqYkp4yxjXfID9BcqStBTKAcKC8kPwgSN2bIsvOWEmZjSlJPi52T9hUqCnbBZy4AfH/kaAug4oFZhgDUBjJTtnBJltjjDChCgXUPWQ/dQCQ9s7pILD/7eFiq+kqkFiIHkKwHzO0+ahdmRSDHvZkjWopWwzW7NS2p716AoEcilHPx6bQzYubalsBwODiQBJKWELdIMGCmJjjQpx0po92zviu+pq4GI/JlMbsxid88wKkGAma01CaBYB8QAddHO+SuOY0mghlhinmPLEjZezjI1elYUAG/cP4DtXUP46B+ekUFoqYpv477dD5DQjMqlHNRmXMWfcQCWi1x7UZv3k+a1Ies52LBvIOEnOeilLwYta/QSNhO4NRYDiT+rIIgTDj1DJTyzpw+ObUngNwiSneomRv5obzQ+9QzwnPZa6Z88TQPppC/fnQCc+KK7b6QsfcW89toEQ4/MlCTTSZTVSth8EtG2LPQMl1Dy425kQRgqOib6uQKiBJCSG44tugA+uv0QbnlmP7546/PKttTGGlBBLM5AmtiQjdkF7F7NaqnBnp4RjJRjTcyMJ3zGQEG8r2nPTmhIUpOBb9y1GRdd95DCvku7tgLwphxLAEiDHEAqYrAokle5SC8r1jCz1fGjPfuUYyvCy7Nb80oC7vKfrkMYhti0fwBBCJy5qEPx/xMN5ck66CgYReLfZT+U9+wrd2zCB65/Kjov8TfbEufIF8ucxdk3UsbE+iwyHoloRwykcqDMa+QbB4oVlCuxLhhpsayPklYkkcCBmNEAMH14cT0tcX1aclbTQOovVHDil++Rn3uGSnJcXXvzhgSDl4NZjm2hJu3K4zmWlSiT4ttzpg6ZFzUxkMcfLuO9v3kCP3tkB1KuaGjQkk+ja6CEfb0jmNCQQWNNCifObUUx6vpHAEjatdFUk07oR5JNbMhibnte6ZI8FD0PMn2sWOw9O3FeKwrlQGicsuoEWcLGNJD4XN2Y8+QYy3kO3nf6XKFf6FOVRHy8wy1r4uN0LDN1MNOTOzobiD+rEFD0+Exd2HQGks5Ic2x1vSIYSOp+1KYR/pisLH6OXErCxK71ZKwfsYQ0jdbW2rQs0TaVjvOEBr2HHLBVGUgaO/AlUrKm2z8MIFmW5QD4DoCzASwE8BrLshZqm50NYE703+UArjuM375ojRZrvLuQ3kkk5dhKrXHJFyVs1F2mWAmQcR14rqDwVyujGhiFgURWqyHKjmUpC1iT0QRBwa0utEcBX23GxbIpDdjRPaTQbOmFliVskoEU4P7NXZjdlk/omnSzgObPT+9Tfs8txcoaAFWAr6wtBAGRiW7UHDEFLeQ4lk9txK5DI+gcKCYyGpStGY3JRG7HtixMashib2/c1p3K9/Syv2p245N7lc+NNR7Sri11K2ZGweLjrIvOvmgCTrk2nt8fL/QOyhI2B9mUg+GSb2SeVViWq+SHRsYc2SY2rqtpR9Bz04MhzkDS2RlAvLBvr8soGit6lzpOkdVbvNNxbCuuf186pUEI8vqhpFwTdfYIVp5A9vz+AeNCFxBt7295Zj/6RsrY1TOMJVHHOQB4xfJJePpTZ+CKk2crv6EuOW/+qksAACAASURBVGRpdu00GX7/vph1xgOHgYIojaIAhxgvv3jLSgWE5Vn79/zqSXzmT88hDEXJmA5CCBHt+BnrelTPaYyuue1qCRv5g7MWdeCyY6fj86+IWSYZz5Gto+n6+CK5f0RlRDm2hT8y9pbO5NGtWSvp+s7dW4yd5rjR/SfWXlNeZSARoEPvBommnzxPMMGGixXFX+dSDhpyHp7Y2Yu+kTLOWCTKtAhAqvgByn6YAEkp+NsZAYB/ed8aXHXmPEyKNARMwLLue+e05+Vi5cYn96Iu42H17BbFbwmx1/j96TSIlA5yBlL0/57hkihhMzBU+f7rsp6yQOMlbDNb89jTMxLpAcXj/HMXLsY5SzoSAvqCIRJ/5jGbeGfFfafy5VzKEWUfoZpN/vN7VuORj5wKNzr/zQyUlHo1vlnfjS94AwMDqT7rIe2q+lU82OSMPZ6RJsaZbu3MH5BODjcOwLTVphNdPHmCRd+eGwXPfHEUhqEEXIdKPp7a3Yc5bXmpe0HAHLd82kV9NtbN0b8XALk4RohQYSz2FyoKQ3T9nj7s6B6WC5X+QkU+41zaiZ5Rcv55anef9H38Wrgp56Ut2p2oCxuVW5OQdaAxkExTX9Zz5L5dW4X3dH1LwUDSdIMgQMFUFHe116Wl9gdfjE9trkEQAju7h+W4psTPQLGCfMZFxnOSJWxNcZfKnuGyEqtkPEdhXJoYSF+9YxMWf+p2bDk4KP0GLdwcx0KOa2hp98dzbSWJN39CnfL9nt4RbO0clEmCfNpVfMcrlqvJFsCggRTEvsQPQgXkuysSzuZJvNFK2ICYpejascbaSKmivCf5qHEMMZBI2J401l6IYh9i+fNj6OevCronF6kcQE9qIAVKHLXuBbVj8DHX3inj6719BTy5q1eJ31QNJEtJBptK2Pg7RPf8pHmtyt+4T+scKOCWZyI9o+inLbUxA2lyBD7XR+O9f6Qs/WjatdFck0qIkJNNacxiTnutEj8MlUQS1BQ/AiprZ01Uhvbo9kNyPisHccOfr/5lE4ZKotOxAiDVpGSCgOYrXk7NYycOPo+nxIl+O55tTQyklKZPmGAg8bkrVMEdEx5CvydQT4839PO0YCWAKP6xWD68znQNDMA0NXaiOUwmgTQR7dbatHx2/O90H3g5eQzox/sXDCSzb3mJ4kf/FAbSMQC2hGG4LQzDEoBfAzhf2+Z8AD8NhT0CoMGyrAnj/O2L1oieu3FfPywLWDGtUdFHAURWiTvhYjkuYQtCkRFNeyITXNa6sBlFKQ36AGRJRDmpYaIbOR3KnOqOjCikjm1hRksNhku+ooND2UiKrVzHhmtb6C+U8bcXDiXYR4AK0BDrqCWalLnDSrm2UprHgRRTZ5ye4VICDKAuShJAimqtP/2nZ/FjJkoMxBkOnZnEF/mBDF6EoNxAsYKuaHua3E1BcTU7Z0mH/HfGc9CSTzMGkghgeBtmYqQcGirhe/dulc9clrC5gvFTKFVhIDGQUs94ASqtlbNFuBAiN0+jxW46MIBfPrqzKgOJggG6p211GaX+W9dASikAUlKM27EtnDyvTX5uyHmSgdQTZQwpgF84sS4xUWzaP6BMbPokvbVzEL9btxsDhQo+eMZc+fcJ9RnUpF0ppk6ml5Dxa6d7zXVHeMa3v1DBf9y8AXdE4t73PN8J2xIthac256S4KgdR9vQKEff+EVGWpIMuDTlPAQjmaCDck9qiltgdQEyDv/XKE/DN1xwJ3TKuLQERQIx7vuDpGynLYNuxLayZ04Kbntgjv3/bz9YZS67IdDBs7fZDuOnJPVW2FmNNfx/4guqxHT2yPK0SCL2J363bjSMm18ts8+7eESU7lku5cnzWpBy87AjB3njZt4VuWSF6l4wlbJVAMrymNOVgWRYmNVTXeEprIPrstrySNc54thTRJZs/oVbxmZ2G1vGDxYpcJOUzsSYOlbCNlH0s/ORt+NnDL4h9sCBf12bgDIeZLTU4OFBEoewrwfVrV07Dd1+7IpG8KPtqyRQPWF3HirSOQsV30OKQd9Spy3gyKVGTcrCJ+Smuf2FkILFnayrhFQCSrYptB4GcVziAxH2F/uzIePLkQzc8nTgn5R7YFr74yiOU7y/5wSPy32EYjtmFjYN2fhgqpe/P7O7F0skN8p5SaaBuE6PECJBkocxtz8uxXiwHeNVRU/CW1TPk9/duihkEP3noBWQ9Bw98+BRccvQU9I2U5fFE9xw/scheNFGAEm/QNLP006TyoG//dbMCNgVMu4NAZGLN6RpIOvsKEBqCdI5OJKJNpidbSlwDiY4fCAZS3IUtg9roHeJPjoCN7qGSHNcSQCpUUJsR45DiMtsSvkzoJZnHAImiSzFa20JrPq0s1h7aKgDJ5/cPyLmHFlU629DEQFo+tTG+hqakLzvnmw/gC7duBIBE+fMrNbau51joZ/qhgJhDaAFZ0cZn73AZ3UMlJQbjItqAqnkHxJpRShc2reSYgJbBYjkS0RbfiRIuWyY5iE3HtVz0TqN8nOr3z9YYSBwAqM96ODRUVvyD3rGMg+gAIh1VxkBi52JbltKRkSeDTEZx1rdes1wCrp4T+8GGnIc7GTuIwNSmXEosxsO4sQzNGX0KgOQkwD1uU5pySnLLtqiELUiwewExthpZg5CO+izmtdfikW3drNFBoDyP/X1FpBwb2VR8DxtzKTlnkO/kiWtVhPnwltvkXsaDTdBY4+Y5tjJf6SV0enzPT2+0Lmz0TPT1ov4b24rLyeJjxNuU/OCwyvpq2NrCVJ5NWoqyK6cfKrIPbbVpWVHD3yy6D/SuA0xEm22nMJD8UEkImBhbLwX7ZwBIkwDsYp93R38bzzbj+e2L1hqjDj8HB4poyqWwZk5rItDJphwlo00i2nbk/CUDKXJausinbqNl7PXyM9HFZvRrIJ9BmRR9AUpsGtuy5OKF172TE+KZg0xUy1woB1KgjpspaF0SsUO4boZrWwrYtIfRX4eKPkZKvlrCNlRKLDqJkk+Ux0UT6+E5Fm5+eh9u0hhABCDx66tJOYqjlZNCVMIGANui7WMAycwi0+0T5y3EmYtiACnl2mjOp2T5QEPURYWXsOktiI+MArrOgaIcV7lIS8HELrp/c1fcrcLQhY1P8rrekMko8CAn/qXbnscnb1ovA18dQKLgoj4bMZBq4xp0x7YSGkt8YTqnLQkgLZ/aoICGNZEo6J0bDkhRZWKl5VJuYh8DxYpkV50wpwWzmWYFIFrWrt/Th/a6NI5gDKSOOvHsPcfGxmvOkn/XJ2W+sPTZwoQs68XblyoBfvrwC/LzcMnH/I465FKuFD8GVOo57X9Lp1hE60FaQ1btwsYnWSCZ5cyxoJMCigUT6owMwbTnSIBWXF+g+IFKEMrzsS3gwuWTlQ52XYNF3PGsGZgE4q5kfG5/irU5160+68mxRgt9DoBcd88W1GVcXLBsIip+iOsf241tXUN418mzpf7Y1oODir+uSTs4cmoDGnMevvbqZYp/uvLXT8gFeqKEzRMMpB3dw+ioy8jzmtdRi2Mj1tZMDQzibLWmmhQ66jIKoG/bltKFBBDPhrOZdDZRELG8aG4ggHio5MNj+ifDJR+fuEm02dYZSNxaWQnbrKjEthKEiUATQIKBJEq54/PjIRtl++/acCD2HSlHzl+lSmAsIcilXGXOpUVZqWJmt/D51VSWGwNIgTzXShCiNiPeQV4mzbOv6SpZcp19yxeFlgUcM72JfbZwXgRQAsBVZ87DfCZqv/PQcIKBRPfEMzCQSpVAjs99fQX0DJexZHJ9DCCFYWKRCwhwnOYgk8g9+XwhIm1hMWMhEZjTPVjETU/txUUrJqE+66GxJoXe4ZKcJ3JRXKS3Ej9qWiNMFiJUFlh+EGJr5yC+cscmZWEbRiVstm3JZ0Wgp9AJSfpjDshkdAYSu9/6eOIi2nQfgzDuwlabdlGTdkG75/vS4xw69kjJx2ChjHxazJukB3Xi3FbZNYyeMZ23rkNJ813Ktat2tRwp+9Kn08LN0QAkfWSkHBtXnjoHZ0YsTD3eBFRQRAeQprfUKCXf1DGNzxmFiFEsGENBAmDcfCDWfbRgyftN1qzNf6QZRZ1RARHT8vks5zlC60rTQAKgzLs0nng3KZ0Ry/2bnr/TRbS51tfc9jx2dA+NqlcKqPG/rnPJ2WGOHTOrAAEumFguZBRnZVOOZLnx6omvvWopTmR6jXSZPLlKyREFQJLsfDvxbLhNacopya3ajCdK2KoASHUZDw0ReAWIsb9yZpOSbNWTCCOlSkLXSQBIYpscZyBF6x6uY3W4ItqHw0ACkowgvXpF1+nRS9hUBpKphI0YSJT0Uu9rQgfIspT4+0dvPErZb7HsI3UY94Sza006d7GIdryO4ve/vS4ju/spnc+jd4b7VJOIdk1K1UDi66Px6FS9GO2fASCZ7pzuxaptM57fih1Y1uWWZT1mWdZjnZ2dpk3+z1najcGF1to0jmfdxsiynqNkM6WIdiQaWigHSEcaSAcHivgm6+JiCoD1Ejb+IumiaFTDP5rR9/Se6Z2AKOCzrLgtM++8QYE/L3HKeDY27h+Aa1tKiYs4J/P5ULtbXo5R8gMcGuQAUhx8v/3n67DoU7epXdhGygkGErWdtFmQNqs1WQoFxBTgb/41fgZN+ZSyOFIZSFl57WnXlhNFosa6irXXpZVgRdSJp2RAlfZsTGrMSoe/bEpDossSZQGpmwsdvxKERifN28qXDW0yRztfk3Hxxf5CGfdt6kQlCCUgWZN2pbA6EAcXFHi0MwbSgglJgGisErbVs1uViZAL5f3HzRvENbHAxVTG9tSuXkxvzuF/3nQMlkyqUwLEQ4MlPLevX3YXIePtTPkz1Gup+bnJDh9sPOlBth5ALpsqQKt8pF1T9lVx6veeJlhR9E7qQVp91sOFrF3xdDbJzm3PJ7KcfJFeDXymMrG0a8t3gK5P1w+LASQLpy9oT/ioOzccMB8Eon2851hK5mo04wDSD+8X7EI+vh/ZdgivXTUN9VkPA4UKvn7nJqyY1ojTF7ZjSmMWnmNha+eQ4q+zKRevPnoqnvjkGThzUYfUIAFEF0ASjtX1f1IR/f+O5/Zj2ZQYeEy5Nn751pVY+7FT8d7T5yq/4fu48Z3Hi25SvOQmCJUSFkB0Ixmt++QwlSZH95ADnCSiyy0IQgW014VX6zKuXMjPZH7UNQSSeuBfrARqcMB+ctaiDkxtyuE792yNy189R75PpUpgnDtq0sljAKI8xJSA4ZpHpixoQ85D2nNk2RwAKXSszy0c0KBnp4NcE7SS1p3dKsNy9ZwWfDliHekY3OtWTVO6ap345XsSAVc7excB9Z73FyrY0qlqhB0xuV7eR78KA6mN6eZwd/Sli46AbVuyVJveE+6jH49KPa9/bDdKlQBvPG46AOGXyn6I3uEyLEucZ8kPFIbxLVeeYAQlAAHMKL7UD/HLR1W5gDAUCR7bspTn0FaXkfvg45RCB75wy3qOjHlcLX7SGUvFip9ghBEDatnkBqyJyoHofvNtW/Np6fslAynlRLoxQZR4iRlIr105DZ84b6HcDhDxwLlHTMBXX7UUN7z9WJy1uEO5Hte2ZXymW4EBSLRwFAwkNaHBzbYtuI6Nc5YIHTydDakb3xfZJcfEnSqbalIIQpWRXij7sG1Lxsf6+NxycIAtzOP7TaYnQClh4tq8y6NaemPbFvIpFwNR1y/uE2vSbqwjNlyKGCz8HUuWsAng3zUwkFTGEAf+57bXYrjkJzol6saTm4Wyr/g43rDB0UvYrGQJGzelFCm6n55rSX/aVpvB9163IgHwcsa1iYFEgH06So7q9uM3Ho3XHzsN+bQrY6y3nTgzAu6EDINJxzWXdpRYNeM5WDmjWUkKCAHv+P4MR2Oe+8iGnCeBBAnMulVK2JiDHg/cEIu9j2NjmJOPHGDX96MKy4dqF7ZRNJC+/ZojccKclkSyMYEfQYz/P7zzODz32TNxyvx2Zb/j6cLGLcfiuF6DFAEBXMTQL/tqmdlrV02V7x53C9TpkeuJmkrYcmlXJm8FAz0JIOnx+Ivd/hkA0m4AU9jnyQD2jnOb8fwWABCG4Q/CMDwqDMOjWltbTZv8nzRasLXVZbB0SkNCwyDjqdoIUkTbEug2ffYcGzu6h9E1WMS5R4gJ2hTc6Qwkvu+8hmC7drKGVTf9a50CTPsn0eiUYysskQUd6sIaiIPp+RNqEwtGvcSHbHXEVHpP1AUBEA6KZ8N1Ab4gVDO6YZgsezl/2SRccfIsRR/qjEW8bCx+hXgJG92Xppq04iTJIdmWJWu+d3QPK8HtR85ZIMHEpWzxCAjGACBaoJ86v10JVlKOWvOcdh3FKf7mbavw1KfOkO2yAXGPaxhwJK5JbfVazUqRfgu3hirPR7cvvfII/ObyVTJ7ee0tG/GXZw/I8UJBYU3aUWiuDRHziMrG2uvSaIjeoaOmxdl4Mg7ONOfTCYDkjEXtSkBXk3YSVGM+Uf6/E2ZAt6GSj/pcCo5t4f2nz8P3L1shv9t5aBhbDg5injbOObNlNAE+EwOJv8NjTVikMUIgylCxIp/rQ1efIjULJICkayDlPHz65YtwzfmLAKgMJC6YLa9ljCwWAPzhiuPwrdccCc+xFcCZlx+R8RK2bMpJlLSOVsJmWRaaa9JIuza+femR+N07jkvQvHkGtD7nJb6fpS2gXnXUFLgRuHNwoIgPnzUfliUWRtOba7CtU2Mgac/Hc2x8i5Xz0bPQGSj0eahYwfvPUIEiyxLttZu0d437AmIacYHsih8mSiYXToyF5U1aEVT2qDOQxLVY0DtpXf6zdcqiRC9ho3P3HEspdzQFkvr5FCuBkl7i48t1bFy+Ziae2tUrWZa5lBO38fbNAFJWW6TSgq5UMTMwOcA5XK7OQBLnK74v+4K5ogNIHHig3/ASHyD5PuolumKbpEYO7VPPEutXROUmsmyJL4wt4GmNsTevo1b6qyAMjULSrbVpdA8WEzoRR88Q/llv+Z3SfNxDW7rw7N4+TGvOYXbE+CQ/cKC/AM8WwOWB/oJsvQ2Ie+9UKRMJw1ApiRwqVXDDut2J7QhQoLHi2JZ8zwKtUxEBQvy+51Iu5kSlNMfNalYWivp4qjCRZ0VE27bw1jUz8Z1LRa8ZSizxx2tZ8fsj2R9RCRsJxqfdWAOJ35Yc0538zqXLcdbiCThqepM8Dr3jrmNVBXmCMH5nKcvv2GoZTbXGGS9fOhE3v2c1zlzUoQB1kzXfZPJHHCSncc+TYoVyANuy4DmilFAHgbccHFRiMFEyGJ+DviieLkvYRLncjx/cjq7BUsJf5TNuxEBS9dxqUjGA1DtURkMu1oSjfXKjkjq9vEycL5QXeJDFZ/MipuFWrSkEGS2uBwoVGRMWyuoimMdyll7CZidFtE37B2JwhJew1Wc9ZFMOPneh2mmTz7/UwZHmjN7hMhPRdhJri7Rr4+T5bfjs+YsBiDXUQ1efgqvPmo+atIPBYjnBQDprUQf+6/VH4R0nzsLrI3AaEGNt5Uw1ftQZLGGIBADYWJOSQEyWaYJRHBsyDNWUJBnNJNA5zu0TDCRNA0mPMzkDUv/eFLrR3HDc7Bb87P+tTMyn+mfax5FTG6XPURhIhwkg8VhK71AKxPOKZCAxBtlfP3Ci7NQHqM04PnneQmy79hyZKABiJqDKQIrjiSBUO4DTZT189alY+7FTx31N/9ftnwEg/Q3AHMuyZliWlQJwCYA/atv8EcDro25sqwD0hWG4b5y/fVEbTViteQE0HDNDdWIZr0oJWzT5FSMGUk1a1LZ//7IVWBEFoab22zqAxD/rItq2lQSQdF0lPWjVF+hlBiA5hhKK+mgC4b+jrLA+YZj2TzapIYsXvnAuTlsQ69kUK4HSmc3UweFv2w8pn02tsK86c75CI73y1DlSa6G5Jo33RSyOgaJwaoWyL4Gu5pqUEiBLBpItwCqabNIay+aaaFLUx8NP3nQ0vve65fjRG49OtLi3LEsp0wvDmBaccmykXbE9ZV4WTqjDa46eKgNecq40QZpaJAPANy5ZhveeJoA6Xfh1vAyksxZ3YOXMZhl4dA4U8flI+wCIhdJ19kidZCDFwOvLl07ENy5ZhhWG8gV90uY05/96/VFYMKFOCTBSjp34DQ9y5nfU4aGrT5GfJzAtFUCUnBzFyko27h9AJQglUHLrlSfgG5csGzctOc3OjbqmdA+V0JJP4TeXr1KCmfqsp4CDlgVZAkrv9s3P7JML7IacJ0WNqdxQD6Cba9Ki89KRk/Dhs+YrbBh6B8hqWI04UJ0tOKE+i5ctFaU2M1vzuHjFZCyYUIeKn2w7zBlIABTB9PFYcz6FlGPjvCMmYsW0Rly+ZpbiQ+YwgMjU8S+fdvHVi5fKz/VZTwFReEZ1VmseWzsHFQaSKYvO7zFljPVAit7rS46ZatTuAuIS6Pg3NtZ+9FQ8yMZnXcbD914nFqJ+ECqAzo/fdDTaajMSxDIdh+YHeg+5f3QdW/Fbp8xvw99eUP2padHRVptG2nXQUZ+RQLupvExnIBXKvtaFTbVXrpiM1to0rrtnKwAxd9K4KVUCYwCvA3ykA1KtCxvP6I4YGJoNuRQDkMS2fhAYGUi8JOTYWc24YNnEhMaYHl/zrofESCHA2wQgme4hNypR0oFAALjk6KnK54wn5hAKov3AnKRqyacRhIJxoQrtit/RfEhzB/19enMOtRkX927qxIH+gvStQMwCPdBfgOtYoizWsROsU70rHlkYqoDEju5h9I2UlecfIowW8HHc01yTkv8OAnWcUnjFmUVp18ayKQ1Y+9FTcdGKycoz0edKanUtji1ML6kCYoaPPnqp5MLRRLQrgdC6ybAubHyf5OOqabIQk8FzRtfApDHjS8aVqvlkej8AEadQ8oH7D65FSNvpxs+H4sOLrntY/q1Q8SUAo3dhAkTXTYphBQNJTYI2JzSQSETbxlO7+/CZPz0HIFmORKVqQgPJUv5O/vXQcAmNuZR8jnUZTyknB8T5WJaVYBsByRK2QY2BBADbqjQr+eO7Vst/k08uVnxjCSog7p9SwmZZitajbnz+oscmACQxNiiG0ruFURzXkk/LZ9tg1EBSS9gc2zImkyc2ZGFZFlryQvyd2HhkCyfW4bSF7bj4qCnKeMu4Qj+UJ1wFg0Xdf8q1JRDtORZqUnHJKh2HayDx+3s4YAkQA7PjLY/S2b66BpJeYlb2AzRkPUxuzOLzFx0xZuw2Vgmefp4mvT19t38vA8lktC86T6GZKO5hSzT3UrzMXbEVlSzzhJbprcimHOn/RTOhpNRIfc5LdP99Mds/DCCFYVgB8C4AtwPYAOD6MAyftSzr7ZZlvT3a7BYA2wBsAfBDAO8c7bf/6Dn9XzKaBKnO/ngtw57VGEi8hI3aSmdcBx84fR5uePtxOGFOa9zGUBvgIRPFJBtmoto628e1rYRT0ONFHdXWaZSEgJOfMGW07vngSbjtvWvkZ2KZ8MXOsTObMbstb8gQiZeenAcPOm59Zh+uu3erZFmYMmJcHwgAVrGSua+whSM3x7ak9lB91sOVp83B6tktGCkJjY5iJZABb1NNSnG8cVZBOC3SgNEZCDNb87jz/WtwFmM7AQIw4a3Q9RKSL150BFbNbMKlK6di/oRamWHmvpxYP2vmtsK2rcT9oXGgi4EDYnI8bUG7nOx1xsh4GUg0mfGFS9dgUT7fbslAUscTjYmlU+qxdEoDlk1pQH3Ww/nLJikdnuS1ahPUwgkxa4bGKk38toVE2U+NBtIBUBY2FLiZgAIg1hWok2V2dTh/2fhl3njW/LN/fg73b+6EH4T40FnzsXJmszxuW20aT37ydAnqTG/OYdu152Byo3g/aDx+7A/rceeGA2irTSOXctFUk8KiiXVSHJUHaV9/9TJZ9leX8fCOk2Yp94Zrl/z4TUfj7qtOGrOOXjfHtvDli5fiiEn1sgsb9yHNEkCK7scYov66teTTyjvy/tPn4muvXiY/v/n4GRJke37/QEK42bXVOn5avJJx/zeztQY7uoeV0gITQ4wHvgcjBpW+gF8woRbz2mslOG0y3ReKNtwZJQgGYi2LShAo91YHXPUOe0AMOFAZ6cSGrPS5KcdW3q//fNUyPPrRU/Grt66Sehc6AwkQc10mKrumEiqTmGZae9bFcqBQyvXhlfEcRZA5l2IlbH5gZKfQ+0PjjEDzsh8q2We6Xg7A6GAnEHdhA2IAqRKI9u+teZ2BFD+Lk+a14euXHJnwV3QKbz1hBuqzHnb1JBlIND6TEhRWQkdKnwPp/ps0yq44ebbyd/KTdIqcYfT7dx4ntyOgrHOgqMQgdG15CVCIzzT2M55gGN67qRN7ewuKPho9n4MDRbi2hTcdPwNPf/pM/Pbt8XEB8zMBxLyr+46mmhSWa+9AEAqfRH6utTYtfQ+BS2QEHNECMuPZcrxRNps/Ex3MUNkNccZbX2TJYas94Li8Svw9k3IwUgokAynjOjJe436bQJtqizea/+laf3P5KrxyxeQEG5rGBoGIOkBbjYFk2gcg/BGV2XH787tX476rThbXyOIkUzKxUPYFIzSKj00AEv0pCJOsMu5TJ9TH2nPHzmrG6tktMeBtYiBFmjsKAyntSBCvd7iExhpPPsba6DdcRiGEYMDZtmXUQOKABGcgzWrNw7biEjXbEudP5zu5MSvnIgIadA0kbo5tKeW9tmWhsSalsKu5KQAS4tjuzccLf0xjSp8PKOHImbF1JgDJs5Vn05D1jK3ryTrqM9jfVxAMJOYDdZCFjOLvNXPj9VfFT2q8pSKd0LRroyGXgmVZKGvjX+jRJjWQTEmS0YwDneMxXaMq5drKfKknnEqVAJmoScHLl04chwbS6HCB/rXpvHVgKuWaL2751IbE32pSjkyGmczT/FqZNfmha5MMJANwumxKA373juOi0tgkAynl2Gr59hh6Yy8F+2cwkBCG4S1hGM4Nw3BWGIafMDZPjAAAIABJREFUi/72vTAMvxf9OwzD8Iro+yVhGD422m9fSiZL2KKg63WrpmmdtWwDA0lkVilYyngOpjbn5ATPWw1yK5SDBAA0xLJEun6A4yQZSNUyFmQ6oEQt5QnYMQFI01tqlOwssZLqGdvgV5evwp3vP1Fpqw0AZy+ZgKaalLE++6Gt3Vg8sR7ffe1y6cz0jGzZD7F4klgQzm3PK51B9K4f3GhCpIkn5YqyFprwaLJrrkkpjlcKOEbnQ1o4+sIVAGa31Y65YNYD/1Uzm/Hry4/FtRcugefEky6nssaim+K3lImhcj7SPVi/Jyk4fPSMRtSkXXlNekZ7LF0Dek40rvRJ6YyFgkFDZTW5RNDvIRuJL990xfFKm+u2uiTyr2dNrjxtjsw6u9qChp4Nn+gbDUEqBylJpFbXUtFtNAFKsgUTDOWcGrD4tp+tAwDZ9SsnMyohrEh81XSeJ85txQ8uWyFLPKWuhmUpGkc8SLvgyEmjMqVmtcYdlVbPbkFbbUZ5/0crzdPNiURKC2UfWc/B5WtmAkh2QdTfh7GyYhceOcnYvYfs7CUT8IPLjgIgQEm9bMKxLSVTn3Js6S90m9WaRyUIFZ0a07hQGEhRxzJPe4+Pm9WC29+3JsFa4aZnYHXART8H3qEIiLW0CHCaqAFPQFyGxfdNSQ7HVsdbXVa0Dj92VrM8pmncn3fERFwUteSmY5vENJMaSL7ahc2Q4eTlxdmUIwWIq4lo03lSOQyVlJgYSNRxjqyaiDbdE2LDkAYS70AHJJMtgBq4v/3EWTITSk0XdhpK2AiAMQX9OqNCB/xpQWcC8DrqM/jh64/ClZHPyEigPabx+6G4Nl56xwGkomHeOXFOK9572hx8+mWiLJbGftq1sWZuK/b1FbCnd0QRcKZ35mB/MTFn3P+hk3HPB08CAAV04haEyfcj6zmq6HMYAzh0ri35tKLzqDCQglD5v0mslz8Svdzb18qn6Dx1n0vb6E+XMua8C1uhLLqnurbKHuLHkeLXVXwnjUsa3ytnNuMrFy9V9O/477loODdTiadudC4fOmsezl82UZmLyBZPqpfMdZWBlJybi5VAPD+HNJBUFKZzoCh1s/wgSNzvxlwM8JzNEnXvOXUOfv6WlezeaWXuuRQO9heTItoZD3t6RvD5Wzegc6CoMJCo5IhLBYQRA822kotcy1Y1WTgDKZ92MaE+K0vYXrF8Mt62ZiauuWAxMp6NXMqV44UAmkI5MHYSBAQAVcsYSDTGztQSmmSmseQ6Fj5+7gJs+dzZ8h7T8yMQk/zPZDb3OLaF2rSrimi7jqKBVDcGgDShPhN1+AyUhX99ld9Q/P2J8xbi+rcdCyAW0ebjmnerJPCLAECaT4WI9j/OQIrF3sdn+nzCx+FNVxyfSISWfFWva+wubKOfiWVZuPeqk+LPhm30/Va7Jz958zGJv+VSLs5aPEGyxvXkHI1BzhKKy2sjUDO63mrL2BXTGpVuh3w7hyUTibxBdnjQ4IvH/ikA0r/t7zdyikR7y3iOFBkEoi5sjIZYjBhItg0MRxOI3gJYvkBaAGzqwMaFknW2h4mBZKL1c+PbT2/OyVbu9He9zt1kRGE1LT70rNP5yybisY+dpnVGiH93xcmzkUu5UlzbJPx2dFRy1JJPKx2uRrNaQxa1VAlkgE7n0KSVsBE5ku4HLdqqdeEZE0AaY1IyBVl6wLtkkqplM7stD9e28LQBQDpprgCbyFnrGV/eaQNI6hjQ4qIagES1/IeGSsh4dmJh86bjZ+C6KlkInYHkaJR6QAQsM1pjXQNAZRSJ38XHHK11LBAzkPR35w/vPA6fu3Cx/Fwt80X2zKfPwB/eeVzi78lW5iIgolIX+r6iBfH6W5pybZyxqAPnLxOlYzwTyIGIiQ1ZHDeruWqmEYjZQNmUg5ktedSkHGMgkOjKMYq5tgU/CDBU9JFNOfjI2fPxwIdPxuSmbHRMsS/d1x051dx1ieyCIyfhXafMUf6m7yObcnDfVSfja69aZuxSxUF0z7ExqUG0/OXPF4j1krjfTTnJ95cHvgcj0Has99hkGc9RFq3VWsGTr9JLmikYuvGK4/Hnd682jvWhIgXw8b6p/OTgQLEqYEnBqomBdM6SCfjIOQsAxJlnE4DhaQkMIaLNdTqS18o1tXKeK39frqKBREEoad9RSUnZT3aYTLm2AjKbRLRVDaSYgeTYSQaSqbyPTvEtq2fgw2fNU4RUJzVkjBpIrgSQEl/h8jUzFeYIX9T/9u3Hyve22trgxLmtcn6MGUgsCxuECaCYrvNAf0FNXNCxbAvvPW2uBOeJxZRybSU+6GAJAQLCTFpWU5pyUpz+rSfMwOTGbGJxGYSh0owBEONLB30IUKBjtOTTcmEVhOq1SgApekimkhoeD+njqeLHAs7xQiVMLEZMGkhArM9DPl+WsPmkgcQWh8q7ORYDSdy7Qa28SvcP9Hvyd44GSJveD93IT5w6vx2WZY2ZiBkLQCINJCF6HSoi7jQmNkUxaSUII/HgeBvXsdGQ9XDukgn45MuSbCia0zxtDM7rqMXWzkEMFX3lvubTDnqGy/j+vdvwQvewwtCmcmwuFSA1uCwrEWs7GgOpWPExpy2PP797NbIpB9NbclJf9P+tnoE3Hj8Dr105DRuvORuObcnxUi8BJLPOGyDGS42igWTcTJqphM2CJfUBuX3/shWy4sB1bCyZVJ9gw9ZlPfRrJWyTGrIyflwxrdGoeUnWUZ9FJQixv28EHgeQskmWDhAnu3IpV8agZT9AEKpJl7QTl4vSs5QAKivRlRpIXLPvMBlItN/xd2HTACQ3+Uy4lTQNIpWBlNx+LADMtixFI9N0zPECSKZ1D41HepbVADP6nndhpOPS/3V2sWqWwlIkcx1b+rh/M5CE/RtA+hcbTYI8O8mR3oznKEGYEM224Vhxy/JEO0WGwHKj8jW+qB9kJWz6AkRk39UXvtp79+DVp+CuD5yoOJ7lUxuZYKH4f7VSH24pLTvBTQ8aXNtOOOYnPnmG/DftQ880k83vqJOBn+fY46aZkvOie0aCdVRzTOfZVIWBRI6Mgi0TA4nvv5qZSg+4jQogRYsn27bwg8tW4JdvWRkd08HM1hps2Nuv/O4VyyfJVsDVGEjTW2pw2appUhtGBwEJ5JGBmAbYkeZA12BJKam89sIl+MFlKzCxIYuTNK0Espq0q2haVGPLpWUNuxrwmmyskjwKNnQtlSOnNuK4WTEdejQBSkBkI02Tpg4sfufS5fjEyxbKc69JC0H9q8+eDyC+pmrv6cyWGrzvtLn49qWxkHOD1o3kl29dVTXTCACXr5kltnVtLJpYh/YqrZ4PJ16iktz9fQW012ZgWRYmN+bk+8i7IHL7+LkL8PFzF4z/QDAHLVObc6hJu1IzjJ+X2llOBMW3v28NXrtymrLtzNYk+84URGU8B69bJfRlOiMGUjUq91jGwfJqvoLAzbK2gKXraq1NY/GkeqOvkCLfbN9csLV6ACj+PpZmFb17Jr9rWZay6C9W9BK25G+4z8imHLlNqRIYAU2ajwhAok6axUqQANw8rZTRVC4lurDFAFKx4kfsJ5OItoGBRMBFbRqWZUnAzIKFSQ1ZdLGyYgLL5DtiuL5sysHHzonfD76on9FSI2OF0cpNc9HcSQweOkc/EtFOdI5ryMCyhF4Tb2JRDSSlxZbeIpvP1dlUDJaOtpBxHRtnLupIBvdh0ne4jkFknIkYA+LdoDEUhGpXJs5AevVRU/BfbzgqcT5KCVt0TmdH3c44QCDbRgfJZ0G3V2fcxRpI5Btt0Zm34gt9Mo8DAIxFIcVmzc+cfIqu2VRNtF9nID149SmwLXOrbd10n6WzJHTj/sBUwlYs+1LDyg9Uhg2xhanxgh/EmlfczjtiYkJKgkwKYGvnvWBCHSpBiB3dQ8p3NVq828hEtCk2Wr8njrOIgWRZVqJawLYsxf8VywEacp4sJZ/KOmya/CmNFzruUMmXnWbJ6hhDnI+fsUAM1wAgheaG2jhzUYfCVP/Tu1fjzaz0GBDlVj3DJQYgCV/+0NWn4OGPnIKvXLwUHzxzXtXzoe6VPcNleG4c1+vx6K1XnoCvs5J2IPbzlSCMxOKTDKTajCuB8q9cvBRnLGyXzP2UY0kNJP6OH6aGttItcDymi2grnQINOymUfcUnj62BZPa7tGt9fjWNGX0X1ViQprUYzdUxgGS+XssSzT3KQSjLQHUAcdmUZImcej3i3nN/77JYsBKEShe78YJ8Lzb7N4D0L7ZZrXl4jqWUTnEGRNZzsLcv7jJRqgjRbJtlQBMMpCoaSJTp4OJ4wxorib/QjpUsYauG3E5qyEZ12PH2R7KsAv3d1FlDN9rWBI7oi5yxMvcUpNMiSg86jpneyNgwY3edS5wjMZAIQIrKDRdMqMMxM5pw9PQmVQNJIuLi81gMpLEApLG+10sYgHhS4789Y1EHjmNBUy5qS8vta69aJhdBMYCUpEBfc8FiyaLTA/TW2oys8QeSjpcmiUNDRQVsvHTlVKU8pZqpnRTM23zzNUfiylPnyIByggYgceCpqQrl+XfvOBZ//cCJmN2WRy7lGEuNqDwRGF8Jm8n0+3fawnZctioGLlzHxrbPn4vXHCMACRpr1YI3y7Jw5WlzZHcjIClsOZZ9+Kx52HrtOXAdGx87dwF+8qYk3Rg4vIyba4umAHt6RxQ9BPKFFJzo4/2IyQ04fWE7DsdGW4BmUw4+8/JF8rPIoI7vOuoysSg5ARnVwMn/uGAJpjXnpIi2iak0HuMlltUWX3QuekZbf/dMCzIqa+X7Jvbb/I5aJaDmNhoDiRs962rPhOtXFMu+MqpNT4VfE/fnY4loU+mKFNH2gwSDl89Hrm1XLWGTGkhlH2/40Vo8uasXjm0lxDVNz4tOn3wQZyDxEsNlUxrwtVct035rHqd8zuUaiDwgHg1Aihmr6rsYRAwkfeGQdh2012bw80d2SIAUqA5YkJ+f3ZpXEil6iQLN/WO9j55jJ8APoYGUZGrr/lWKaEfX1JJPsZI9VXyVA0htdWnMbE22vOf3lQDcd0eMSD9kItoy453UQKKP+iOaUC+6GcYl6eJaBguV6Nr4AjL+HY3jarHT/zthBt543HS8gXWpApLl3PT7S1dOxaqZTXj9cfG8ZFtmhp5uBBy011Uv1eXGgYopLGYmrT6hgSTGCF9AAoKxxe+J0LhJjv1rLliMS1eqAvKJ89AeEpWfB6F6X3VGuy6iDQBX/PJxmYjjXQD1BJhlqQvaQkVlO/ESQxOjk8oAsykbKcfG2u3dCQ1Qesaik526FhjN1C5sUQzyDxA02mozONBfZCXUMWuuWpkqN17+yucBfT6a1ZqXSVEyKlmvRAwkpdNx9O+vXrwMHzpLAFiLJ9XjB68/iok425GvUDWUxiuGTca7BY7HknPw6GuDQjlQwE4+fxhL2Kr43Wr+ybjtOBlIQDL21RlIJtFwfq7lSsCEyMXfO+oz+NO7VuM/LlDZ49xGK2GL2bfJ+OClaP8GkP7FdtK8Vjz8kVOVhS+fnPQgs1gJkHYEA4kyPNUYSPqCgXRleFaYl7UFQahMfnyhT3Y4JWxcCI32Y9IJSO4jOh/DofQJYKxgkiZpWkTpnd1OWdCulFNV60yiG+kZeBxA8gMZCLTk07j+bcdiekuNIk4bayCJY47FQDIFAtzGmiR04TyAZwyr/3YsIK1aCZv+vR60d9SlE5MGHyd0Pd2DpURZ2HhMLxMx2aSGLN53+txE22IyPumbNJAAYMW0JsxszSPjObj9vWvw+mOnJ7ZJu44MjE1sg/GY/nzHohHTeDmc4K0+Oz7hczJe4tGQSymBPLfDKWFzbPH+7O8vKKBLvMAVn006P2O9I7qNxdrTx/54fQIQs5DeeNx0vPCFc6uOH0DcO2KRen8nA4kDl9WyeZQFJ92hamY6VxJl5QB3XcbDne9fg89duERS+nWAlMbtWMApibxX8+N8bitUAmVgjzW8LAYEmEqfgLizi2VZqEm5o2sgaQEqLZD//O7VEtRtyMZd2LZ1DeGRbaIrnakLm8m43o74PzGQVKHZ162aJp8XbUun9/3LVijllXxOpk6hgDq3821etnSi0l1wXkctGnKezPjz+CIIQmPZ9+TGLHqGy1g6OS6PrsbuXTGtET+4bAU+eu4CZb7Q58RmjXFVzTzHUoSJATHvJhlIqsh4GMa6RCYR7TBUhdX9iJFkAiFMRqwousZKpFsHxHPy4WgguY6Nz124BK+OuuXRtVDJJI8dbSWmHJ2BlEu5+PTLFyXmRR1gprmoJZ/Gry8/VgFIbcsal4j2a46Zihe+cO64m29wm9Waj8v3Ih9XiFqTu7YF3w8VBlLKtTGLgXy0wD+cdT1tqs8h05tzjI0e73CWBio25Dy87cRZmFifkeXkQKw3FYbiGLaVZFDrXdjKvlpeNY0DSCYGUsRQSjkO0p6NtVoHYiAuw3RsS2r60Gey7Z8/J/E7UwnbP7K8bq/L4EB/Qeq/jhXn6sYBpBRjs4zFBAfiebTkCxF27vfp30sm1yvlWsrvo3Mt+2MzZkezgPn+8ZhJRDs+dnL7QsWX8zeZZKQaGUhVAKRo5/r8ajqmvs3hAEgmBhLvnMbHfE3axbauIQRBKJvjkC2ZXD+qNIiFGLzliVidgVSt4+dLyf6+Vc2/7Z9m1HKSm9Ixw8BMSUftiYcOUwOJxAM59Y9P8iEi5xf9jQfgcpuxRLTZ5vPaa5FLORgu+cYuSps/d7ZxH5YMopPH0p3kWAASLdzpuJwW/z9vOhonzm3Fpv0D0b7scZfdnDK/DeceMQEfjcoDUo5oWUoAEgfK3nPqHNy54SC2dMYtZMfLQBrLxloM60EgUL1rCrexM07mEjYyAth4EHv7e9cgn3GlpgbZ7995PL5w60a05FPyOVWCEPkx9BBM1jrOTKZuJ85tlYsdvnA06VroVg1A+f/s3XmcJFd14PtzI3Kt6qrqqt6q1XtLLbVarb3VktCCVhASDItBrAKzGJ4xYBnbGJuxeR94tuV5Nrafx2MPHmMbxtiDn43NYIwHmMczXjAw2PiBzSokkATaWlLv1VWZ8f6IuBE3IiMyIzIzIiOqft/PR6qurFwiM2O7J845V8QdID98dGnoANKg7zdqUAlbnKwZSGmlzeYTcfdZep0xMy38q3D6KnvM55F1dpNBWYvR58vyPs7etE4+e++RVCe8ZvnZMD2QRNymn5/+2v8rIsknqJal5EvvfEZPmWVUXAbSvV4AKbp8OoOtnpSBVE+XgXRg66yfvRrHPF70ZCCl+Fr8WdgSmmibJ7BTDdu/oNJ1HFnp6oGc+/eGsS+rWZYcPeVm18y0an4j/rl23Z958aP/8lBwf1vJgjclfL+LMP7FEyOgoN/rWaFGs8Fjuv4xxX1wtPzUbGRt9rWpGctiPt9vvDQobxVxj7n/bJSFm30k4jKQRNx94hfuf0J+4pnnyV2/+znvPSR/YTq71Py+WwkZSIOC6GYGwN998zH59Nce9WerNdUsK7YHkmUFx8ZN65r+Otd1wuckKx3H+PwStj3jPevjrj+VdKfrDw718ziOI9F4td9TJuYl7jy0w/+3+V6iGUjmd6SPKVkC4yIxGUh99nFKpZuFLc4v/cCFockxkrQbttS8yRd0dtxpbxZP27JkxcuQ02xLyb7N6+QrXmm+2wMpY2aId9foZ1ezLTlvcUb+5YGnQuvniy7fLlfsXpAbf/nTIuKuw+ctzsjf//TN8tCTp/z76UwbR9wApmPFzHiseo/r5muZJWxx66MOMOlS0WOne0sM9bmApZIDzMrLTjKbwpvLoYOBwx7TRNz+Z4+fOGOUUGc7F1yYarh9Sb1Z8XQm86DjkYgEs/h5PXTCGUiDl0N/Fme8DCYt42lKz4Q7ca7csyD/6AUC+zXRji9h68r0dGTiJKWkI71ZkCJ9StgSXiPuNaPHiv4BpPDfdEaqfo6ZVk0+fvd1cmKp07O+vvKqXfIrn/i6PHnyTKbzN3e54zOQanbQLqXTdeSb3rnRWkYAqYTME924k96mN5VkUg8kcxY284RHT8tupv6Zs7B1nUgGkkjPyUyWDKSabclF2+fks/ceMUrYgmVN2nm89to98vn7jsROdx7tqTHoIKVP7LfPt+Vz3w6fZOnAnd4p1O3epstJ2g1bfvNlQTPnZj1cwmYGhGq2JU8/b5N845FjQQ8k7zX7zcKWxqAAg1JKXnxoh1xvNLcedNLrLl//1x0UQNLlk3G9U+LKenQPn28/dsK/zez9ldaO+eRgTj/mrA9pMpDSL09b/u17RzNnyWjRWegG8UvYMkSQ0pxUDSPLebl58DczLaKzaMRmIGU8QUibxRXcP1sASSRdQNgMTmadocV8vcN7FmKvJpvM73jvxmm519jOtLgsgHsfde+X9H50VkVSBtKgdWvTTFP+7u03Jf7d3F9HeyAlDfze+ZwDfl8RvWokZSBpjuO4GY9eyZUSN4hT8yZHEAnva+t20KOkWbNlfbsu65o1mWnV/M/q7775uH//muU2ct0w3ZAN65qx/XLM96Sf+6q9G0RE5JqzN0ZmKgqWRX/GByOTIWgXnDUr52xeJ9985Hho0GgZfVayDKL159jt9k6Drr3o0HbZPt+WaxN6ySQx17NocEcHkAZnxwbHple+73P+7dEBSVwTbTeAY/mfx8aZpjx23F0nuk54Wviu4xgNpJOuzvfepl+z44g/+lrxA4a9PXmCJtr937f5Xmx78CxsWS9OJGUgxbGMDPmsdEZVGnXLktPS9bMT3FnY3ADHSjdooquXV/epEdGzsMUPlpPou8YdE85fnO0JICmlQuV55j7W3DfqTBvdA8sRCS27SHxZm5ntFMpAilm+bevb8vrr98ot52+WD37u/tj3p89Doxko0c/IbVIenPuZn8f/8byDcvH2Oblqb3KT60H0Z/bdJ9xJA7JmIFmWki1zTfnukVN+P52GbaV+Hh2YdHsg9Zaw9aNnFI1msWYtYdPff7/t/gOvvdIPPvb0BDLWjdgMpOVOz3psWSLSCYI0f3339fLMX/sbEUkOOOvn7gl897mvFjf7qqb3Z2+84Wx57iXb/O/BzECaatRi++r+0PV75Y8//1354neezHT+5i5jQhNtMwOp48i/fPcp4zGZXmLVIIBUQubJSNxVnEbNEtsKGmL2TD1tNIEzd2A6A8nMSjF7IjiRnaWo3ohx/+71vRvSZTvn5bP3HvFvT1PCtmNhSv7yLdfF/q03A2nw1UgRN8Pkz774YGj59HPp/csoV0ya3tUO3UQ7GtTTUe1oWupUoyabZ5p9U2t/7wevEFFuj4ioNMv8Sy+8KPS7Du70G3gPujrpl7AlXGXUg5mnnbNRvnD/EwOXUTPX5TQ9j6J++Olny9a5lrzzI1/J/FjNbB0WbRya1UsP7/T7IwyjZlty3z13yO63/2Wq+/sZSBleY9jgxSBZM5A0M8Cos3Sec5Gb7h+fgZQ1S6v/co2UgeQNUAbNnigSzvzKOpgzvf81hzNd7f/zN10jT55Y7rm9UbNkplXzgwytuiWPeAGVpCvAOoAcLZW99cAWOXpqeeTstmgAyfwqkr6VV1+zx/93qAdSzHrilydJuOeOUm4j1LqlRLeBNtP9zQFas2bJK6/eLbcdXBTLUrGDFL0cZ29aJ1vXtxJ7Y5kNm0VEDu9ZkK+++zZp1W2/xPxMJ9wQfPfGafmzNz5NLjgrfj/Tqtvy3990rZz/cx8PBZBqxoA0S78y/TF0HMef8SvqaWdvDE0ikJa53fQEkKZ0D6R0x6YvPfBk4nOLuN+JmeXkSFCOpvcBG9c1/dL/brSEzehxkiYDScT9zPX+ttPt+v1i9PPElcOl/WbM91KLrIfmqq/7rWUNvPf2QOpzAWqEDKRBNkw3/GOqPtf1s7q6QQ8hPUugZlsqlNm0ktBEux+/iXbMOnj+1pnYv5nrsZl1Ot2syTMv2CJ//ZWH/fNGvweSxPVAUj3HdfO1pps12bjODXjG7uss5WfMJ12w1J9n9Ly/p6zbViLGIcRcjrl2XV533d7Y509LT8xx/+MnpGH3TpSTxtbZthtAqrklqbPteuoLxHXLkuWO20MnawDJ74G30g0FIDKepqRqot2oWYl9CM2+itEG/CJeE+3oxEmRYPV5izOybX1bHnzyVHIJmygRiQt89943Swmb3qbXtYKZ8czniPbIM7XqtvzkM8+Tu//bP4cy5dLSpWtmCVuoB5Lj9Bxf1iICSCVkniAdO917oq9nYdONIqMn90GUtBs64dEnQuaO5oQxC1urbsfOxGYaNHVhdAf90sM7xZGgN02aJtr9RAMtaaPL/+7is6TTdeS2g4vya5/8hogEn4Ne5rTNcuM0apY4TlAiED1AK/GuKjm9VxU+8Nore2aHM924P37WMXeZs3+eQQZSnyuIAw7YOnCV1APpaWdvlM+942Z57NgZ+b8+9Y3Uy2auyz9y4zmpH6fNTdV7poTNytxm5kccAF+5d4Nc6WURFEFv+1kbWN60f3PmbIFBsvVAig8grZ9qyJfe+QyZ8YLe8T2Qsm23efZA2r84I3Vb+c20+zEzkEYJXrfqdqqAlTbbqif2Jtow3fCDDLs3TMtXvfLepCu315yzUe66ape8+ebwtnrulhn56duzzY4Xx8xIWVrphPerKdYvM6MnbpBv3hI9Ie10HWk2bb+k27yia64Tzbol7Ybt98Qw92FnzbXkoadO+9vlf37l5X23C7Pfjqa/W8tSsnV9S+5//GTPbDaX7ey/z2vVLVEqPLOWbameSR3SMINcnYQMpGGZ3287WsLmHSOjU6hH6UHJ337jsZ7bzZLEum31BKSDJsZu1sL6dj3Ul8rMCukYF+iSgjHRW80pxVe6Qf8dfV4V15OnXwmbKZSBZIVnmDO/I70eZ71wsD5hCvQ4llJ+ZoSImwE+Lv/rZ2/1tw+9HU5Fsq3cEqTwBdS6pUKTsHTNIbK6AAAgAElEQVS8DJMsvWn0XeMDSG5QKxpYM58/WhJ/56Ed8tdfedjPQHL8+zux2f7RzOLocuzaMCWPHV8auE226rYsTDf8MYGW1FQ/ej4YzHgVc+F5DBa9QN+9j57wmydnpYNQDduSmq2kVU8/3K15M6k5jhNqNJ3mON00yinN7yt7DyTvcSlDyPu2rJPr9m2Uz3j7vUE9kE4td3q+N/09x5VIZ56FLWa5o+tVdDbDz7ztRn/mTn0sSApmDsomS8rIHcSyxL8C25uB5L7msdMr8vWHj8nmmaZ/kW0tyufSM0ZinggcX+pNA27UrNDOqCcDyThBMbMpdAmbOQubzkB6y8375NXX7E7coWiDStiidixMyU/dtt9f3uhJYVbRgU895eBOKSUvuGx7KN1Rl7fp6RizZjKY9M5a97+IfidKedMAe7+HekUtzvT0wcqTbtjer7xk0Jhc7/jj1k//dWZamQcXowYYRWSo5tsmfdA/f+usXDZiMKpo+ntJmoUtyft+8IqeqXRHleWESZ+4bphu9Owj5tr1UJlpz2MzBpAG91CJudqa0pbZlnzmbTfJMw4Mzp4zs3OiJ1KTYmYZmA0qk07WGjVL3v28gz0zjI2LeSxc6TgDZ2GLMvc/cYN8cxr7aCr8SjfIWlIqMruS8VzRQcX8dF0u2j4nz790m1zo9VULZo6p990/RUvYos7yZiDqF/yPo5TqKYc1U/UzlbDpZfQCKOMMIJnbXjQouiHDLGwiIn/3zXAASanwoMpSvU20dQbQ/FRddm6YEstSxqQeTuh76RglbUmfX++sQ8FV7GgwSsQdt/RmIKnQzyT9eiCZz6m/v6wZSDXbkruu2iUb1w3uRWW+hS/93DPkk299eqbXGiQo63N/N4O/lnLP5Va64RIi27JCJWQrXhP4YUrY4tbB/VtnxbZU3+07egFUr+M6k9PxSurccrXex/frgSQSlLENurD67Iu2yhtvOLvn9qCJcvj2uEw628imy7ouDaIDSI+fOBNbopTGVi+ApIO2aRpoa3Xb8gOQZuZpmhK4YBbO8AX87D2QsgX3mzVb7vmBoNogvK/rvf+pMzEZSDEBRL0cibOwKf0agzOQkgKR2o6FKblkhzupjs6oTDq+DOqLNWz2s9lE29zgal4gUkTki995QrqO+Mu6VkvYynHWihDzYBh3ZblZs8ONtiMbkv79xNKKX64k4pawTTfsUHT55JmOTDdseeut50qrboej1tLbRHu5k70vjWnYXj/+4+v9A1zaQoreNXrnpdOcRykj0YOIo17GWHQQrJQSx2jCmbUeepz+/R3ny6+++GK5YndycGTQoODczW6mxecH9F7JemFq1PVDRAY2Cx5En3T++zvOz5TZUQY6oDrKFLrjkmVgqe97VkJpjxY3aMka+B10FTE6OM96crw410qVcr9+TBlI4/R8Y0pjs+lq1qun42LuR/UVYS3N12LeJ259fOHlO+TFh3bIj968L3SlW8+upb97JcHxwVLhQXg0C7RZs+Ujb7pWfvXFlwQDrJRByGv3uVmAZs86k+4PNszqMhUzsI3LiB3EnIVt3AEkczl6eyC5F1kG9zBzn+NLDzwVygRUSvVsZ9Hn0gGFu289V/74h64KLZNuzK2ZGS6DBldaw8seF3HPO/RHpweajuP0hIn07mhgBpJZwmZHZmEzHjzKuce7n3dQbjvoBsf79kDyB6Ju38q8j6OtRiQDyethY35fupG9pksQhylhi9tfz7Xr8qE3XC0vOZzcwym6reiAhG5072ZE6f5kMRlIkd+j2U77F2ekXbcHbiNvePrZoTKzLbNNefq5m/z9XXQ545ofTzVsf4FGOXeOs36q7j9n3EQwaegglO6BlKXXY922ZFnPwhZqoj34feoxyumVTugC/rA9kEJ9ZQfsa82/hteN3sctrXR71mP9Wub5i5mxGf+a3jEyxSoQXY/6lcG2/ONtfBLDoO9i2N6elpLQxAlazVL+jLaf/Zbb3/ASYwbptagcZ60IMU8E3vnsC3r+3jROQkR6gyq6UeBXv38snIF0wp0a3dwgjy+t+FOgioSvXOhaclN0ZresRs1ASnui+/dvv0n+9V3PTHXfZe/gnbXZmknPznD0VFIJm0vH38YZQLrnBRfKX/zINanvP9WoyfMv3d73sxw0KJibqsu152z0G7knP0+2XYw+cM0OOWuZyOgZSJ2cTopGldQ3xeQ30c57YVLIMsjVJ0aD3mO/LJK0BgV3oq8xbAP0QczyyFH2PeP0yqt3+//WGUhZG5iOk7kfPRO5eJHmWBCe1KH3/u2GLb/0wotkfroRutKtX0s/Rinl7+MtpfzB/KDPJrhCn+4zvGznvHz7F2+Xw3viG9DqAOswx4+4wLoOyGUpNw2ypLwAUk7Bxeg2oQf/gwZR5qDoKqN82FLhElg9UNd0ibltKVnXrPmZuuEMJPfzmmvX5dRyZ2AGUnRR614/F6W8fj0SBONEgibKJn2fQbu5Vi05A8ncRyr//fR/viT6+DqohE3EvQCaZ/BZP3M79L26A71Hji6Fzldrlgrtc1c6Xs+rIQKgSYPpy3fNZxq4xmcgKbGs+ABS9Lbocrzqabvlr370uswlZR9+4zXyB6857J+v9Zawhe9fs93PeFB507CUUn4AaNgStiADScnrrt0rr7hyV+rH1rwm7G55XvBZZOmBdHq5E5mFLWMASZewGQ8bdCEirll+9DlM0ffjB5CM+zv+RYak1/ReI3J73HYf3dT6nVvpsWL0MXqbTnvszcrMzDUvWNnePlUpdyy9bX3bz7xOW2a42pRrhAQRCQdZ5qbqctdV4R1fo2aFdujRDKS5dl12bZiSLz/4VDgD6cQZWdeshTbsk2dWpN2Ij7Ar6d3pDeqBNEhRg5FW3U6d+rrcHf0gqD+3R46eFqXiMpDcn/pEcZznVC85vFMu3jHeSHiaQfkdXmPjvs8zxBv9/VdfIR+/+/rMj9P6NddLozuG9WHcPveOm+Wvf2zwZ6IPyGXIQMpUFuMt97YBvTLG+Z0kZSn29kDK5+Rg3pjueFIZPv1sn9cBpMll4Zn70ZWOE1qv03xi5nc5aJ9mBlj8mdd0rw/j35YKypAGZVbowUeWIGe/dUHPxDZM1k875njYyVgmYb52pytjz0AyRT+HDf4sbOkykERErj7bDCApefNN58jNXk9B9/wm/Ni4njhBDyQ3gLQw3ZCXHN4hJ890/M8vuQdS5Ip7LSj5MYMbfgCpXw+kAWt8q2EGjKxQQMlcPP3+spY5a/oqfL+sSf16aSZNGYdoCdtN+zfLg0+e8lsKiLjHRrMFwqll92LfoJ5aJn3PUfplmuIzkNyyyfgeSOHfo6XPzZotuzdOZ14Ovf7q/VX02B13TJxq2gPLm0YRBJCGzEDyAkjNmiV3XrFDbjmwJfVjG7bll6CFmminOP/Qgdu0s4YmiQsgDroQYX5N0Rm140Tfj/7VPG/Xq2HSuXzS8Sru1kElbCa/B1JCG5U0M90OQ0kQOIpmIOngtIjIRdvnMpclrjblGSHBF+1V0Jv2Gilhi9mQDmydla99/1ioBvfo6RUvAym43/GljkzVzQyk+JpYzQxIDWMcA6Vv/+LtIz+HSZfl6ff+sit3yj0vuDDTc+gTw3+493E5b8tMzCxswVVb8/eySrN8tx7YMjBzwh7ixOKG8zYPLGXqZ9R1zG8yXqLvaPNMK1Uqd3BCMPkIUpZ1PHUG0phOVD/4Q1fKxxJmeoy+Rl4DZF2jX5bsoygdzJtkBpJ5bFvudEMn1WlWr3D6f//3YZZ46RNHvS5YlgpK2Kz0jTxrdhAwGAc9OBxmUBWXgXRgq9uj6UDCDG5xzFnY8gwgRflNtFP2QBIR2WX08VLiZtjpMkGR3gGN7kFj8o/dXTdoZiklU/WanFnpyvKKE/s8wfPHL5vZwFwkuKoeNwub/n1gCVukB5K57ZjrS5BR1f/5kuhgjdlUPkofg/MuXdOfTcNoTm4pJbdduNiTXVGzVOh7+u6RUyISBBrS0N9B1gsZf/tTN8pn3nZjz+368wkCSG4Jo+21PIgalIE0LP3ZRX9qPc2PbUumGzX/LCOPEuzNs2756fSQPZB2bZiWRs2STSkmtIhamG7I4yeWpBttop2pB1JnTD2QjGPYoHMF48/mciedi0UDkNFZ2ETEL1lNuiD/Wq93ZvRCU9xL9pZCJr8fPwMpoQomrwtbSgVnz+bWpo/lepvdu2m6sGNfWTELWwlF0/qiJ5+NmhXaIcSdxJ61vi2f/tqjoasYna4j0007tGGfPLMS6sXROwtb+HmHmRJx3MZ9tV6XsOnP+Reeny14JBIcQL/31Gl5RsyVDr3Eeuc3Qr/uQqTZMc6163Ldvk3yP7/6SPLzlCgIk1YwtfWEF2QI+gSjDBlIw/RAGpSB1C/AdHh3fNlPnH5TjEcDDXlcXRUxMpBKViqp6c96kgEkc1C83OlGmmgP/l7Mk88sGUiaXhdqlvL7NbglbF4AacAAWR8Xhgmkx7li97x86A1Xy6VDZJzG9UC646Ktcv7Wp8veTetSP48+99CzvBZ1Ej3TrEnd7u05FWUOZs3vX//b72ulVHhg5UhsT5yg5MttumxbQRDl2NJy6DmjouuoH0BSyp9GXkSk412Ycxyn57iT9hAanXXNHGCZM++aGVXD0MGovk20vZ95ZQn4r+O9kG1b0rAtOdXtuH2XWnW56bzN8vGvfN+/r96P71yYku8cOSn3PX5CRIJMy3SvF87USSvpNfS+9bQxm62l3O8ozYQ1/XrIZGFHto2kIKZWs5VMNWz/PCOPLN1RM5AWphvy92+/SRamBvdD7XntuZb803eelG5XQk20s/RAWloJX/Aw90VptumgP11w26DPOVTCZmYgJTyspwdSTADxXf/uAnnrrecmth/5sVvPlR+79dye2+MzkPq/vknvz6JjiBV/9vGcMpCU8veN5j4y+OyDMuZoM/+1ppxnrgiJnnw2jQBSM6HB6eJsS04td+SJE8uh29dFeiCdWFoJZTzVIzud3hK20TKQymhlDCVL5s7s8J7eadv1jllfdSx7zWzawM/dt+yTt3oHj7iHVDEIow/cVby6oNfhEsSPMmUg6RPyQRlIM626fOsXejMQP/+OW+T9rz2cbQET9Kbr57MSTzVsadhWqUolTdPNWqiZ6SSEA0iRErYUq5e5Hxt08h13hdUvQVNGBpJS/iyVAzOQIgOzUSml5PCehaEuoiRNLpAleCQS7GPe+qEvpcpA+sBrD8t777o802vEUUrJpnXNFFlf7vK063ZoH6T/qY/FSiK9PsSJzQDSwaKjp1fcgJkKZm87ftotg0r6DKJfU8Moaex0HT9DQZ9WxQWwggykwZlXen11eyAF37cZTNLPElcik4b+PPqXsHkZSAWVv9aMDEH9OT3v0vgS+795242ybX1bHnrSzUDaPuCihUl/duPaZ/vZKkYGkqXc7LG4GW7/+PVXya3GBcrxZyDpDLn4v2sXbpuTi3esl//zhRfJ9vl2LudKOjNs3ZA9kERENq5rDtXjastsS75/9LR0nEgT7RSfd9Poa+VkzJg16WIP82GDS9iMAFJkQqQ4ybOwGa9pW0PNEh3fAyk+oB5HB+KSZgLP67zEUsEFWHMXqT8bnUQx164n9n9aK8hAqoDoYL5ZC9J1k1KEt3g7X32Q1KYjPZBOLHVCkeWeWdgSNt4qe8vN++TsTUGduF/CNsosbMZjr9iTPLtZ0HRz6JcqhP7e67bqm3V20fb1ctH29fKyK3f6M4CZ8hp8D/LRN18buuqahT7IVTF7ym+iXYIUpCzr+I3nbZafum2/HNg6uJQm7nmHSVNPEr26nGePl7kJB2jinLN5nXzzkeMiIt7gYHLL1+rJQMpYwmYs+qAtIq5Zq852sUID1GFK2Cb/HY86gYW2fb4t29a35cEnT8mDT54aeIX/un3xM8oN41fuvMQvbUmiByWz7XC5vh5EBRlI4X2847gXeKLr1fb5KbEtJd9+7LjXo0j5gc1jAwNI4dv9Hki2JZ1uEBDVGUhxPZhU5Gc/rboty50Vv+FrHP9i1rBNtL1Aa7/zJf1xJC3DuOjPxDZLTL0bbzhvs+zdOC0PPXVKTi93ewaDbrAwWwmbNq6yY52h9e6P/qu87PBO6Xbd9fK8LTPy/s/e33P/C86ak5979gH5xL8+7C3HeD5fM9NSJC4DKXz/X3xBMF38iw7tGMsyRG3xMpDiMifztmW25ffBMz/jNFkvevYwNwMpuH3YHkjm/mBQNrT5V3NZ02Yg6f3hMEG3nmWJu6AcDSD1+Tz1Pjb6mOUMGUi/+6pD8p0jJwfez6QkaGBvnm/obUMnUcy1G0MH4VcLAkgV0K+ELWkj0umfDz0VDiCti/RAOrUcCSANyEBaHkMA6WNvuW7owf04vDWSbvnyK3fJn33xQbnl/M1DP6c+edmzcdrvzG/SH2Mn5qBQRsEAyT0hHSTpCsWkgjAHt80N/djfesXl8l8/e7+cnfHKfBnUSpSBlCXwsn6qIT98w9mp7pv3thNd7jx7FM1P1UeemGDcPvzGp8lRb2B811W75MwEl6+nhC3URHvw92Iev46eWu5zz/gMJHNa64ZtzsIW7B/7v774j5+0YXuJRCml5Ndfcom88Lf/Qe599IRs2jO+4K2IyPtfc9gfvEWZTbGT6O11plUP7SuC70Kf46jQ3/Usa9HvqlGzZNfClNz76An/4p3OwtFZIknHuejXrgejlgpPM68zkJyYx2Qpk2jXbTl2ekVqtkpcN/XzDDv20b2o+s2UWlQPJP06bolp8Nnq1/7Ujz9d3vHnX5YP/uN3wv1MvA9561w7UxBm2B5ISczz9//na4+II26A8sLtc4nbgLl+jnLRU8Rd19yZ6MLPHQ0gTKJnZ5CBNIkAUrBPq2csYTMzkMwL7lkPAXr7HLaELVpNIiLyc88+IO/66L/6t0ffj5+lOYbvO+48Lcu5lV/CFvnIOxl6IN18fvrG6ZoyMpBCTbS9BdFj4Ll2XZ46dSbz868mBJAqIHoFuFmzjSs88RuRDiA9+ERvACl64m2epNdDGUi9Ee9xlLBladhZhANnzcq/vfu2kZ5Dn7wk9WEJGnFWIwPJ8gNIlhxfGv55xtX7o0h7Nk7Lzz77wKQXYyj1EvVAGsdVrEmIZovkOfhfP9WQp072D2wUbaZVlxlvtqIXX7FzosvSCs2MFl6pU5WwGd/d0dP9P+e4DCRzwG9mOOiAwaAeL3oZy7AlTI1QChK138gUHPf2cf25o2Us6YDsbCt8scwygg0i+gJZ8HdH4ptYi7gNU+999IScuzgjthWUsB3zAkhJ+7rorXU/I01Jp9s1StiCHkjRx2RZh/Ry1SwrMftHn/8Nm6V66Y718sEfulIu25mcaa13oUXNwhbOQAo+KaWMs93IlNwig3vuRflZbGMKIPUGMN118sI+F8DM7W3UHki//KKL5Vc/+XU/e1yvP0tGT6boaxZFj2EmE0AKLgKbzeJT9UDSGUjLkR5IQ2YgiQRBjUHrnbKC+4eqSbzXfs21e2TPxml59e9/XkSSJ00ax4XfuGeIfgb9SgKTMpD8Jtp5zcKmVNBEO6aELchAqssx75yi7AkBeZl8XjUGigZxmnVrYAq9TvN+ILaELXzfqYQMJJGYBmaroIQtD3Ntd8CVdIVUf4p+E+2S73D09z5qeU0Vy8CqTJ8IlqGErarffVE9kERErtq7QS7blTwQW+taxv5npdsNrddp9qFLy8EFD11ulCQ2A8nvWSOhAapeJQZnIHkXDia/OY4tA0nEHdTt3uA2Bi5DdpVJf89ujwozmOD+1MurJLzsXa+Jdtxqddb6tnz/6Gn/73pd0T2QkjIDknp+uD2QggtKwSxscT2Q9PIP/pz1oCvaA8l0nTcL3U37h8u4VkrJ087e2Hd5zCygItQsyz93jS6Wn3Fl3Ka/9yz9j8znymOVf/z4GS+AqGT3hunEwElSlskwXnDZdvnM227yA6Abpt3ssiciFzUmsY1vn2/Lzz//oDz7oq2Fv/aiEUAKNdFO8XnXvBkBT690Ij37sn2GfrWCBOOHoZtoG/cJBSAj5/f68eP4uuNL2MK/91t/dYCoZyZw7wJBHjP/ibiflT7PMIN4+rPXx/K5qXrpx3F5IwOpAnpK2OzBPZBadVsWphs9GUjTzZqcjDTnM68S9exQEjbeSXv5lTvlyRJdud+9cVr+9Ievlkt3xA8G9X4mbmrOMvJn5RjxClcJWn+sKcEMOxNeECn/Op6kqB5IIr3ltAgzy6uXO+GeEmlWrydOBinmg0rY4gIsOnhoK2MWNiuYvWtgBpL30ylBUenUmHogaedvnZX7Hj9ZugDS4b0Lsn9xRt522/7Q+YoewJnLGxrUOW5Porj91vqphhw9vSwrna7bRLuuS9jcdSox2zJyc9PvgeRmIHUjA5Vut/f1ddZLmvW96Zd9qMTB5sFtc3LfPXcMfrIRpN0+RmUGBeMykETiS139ANKASRt6Xs/7mcfx9dFjS+76Z7nr0wVnzco/fvtIz/3M73XcEzDoVgTmflNkMrNMKaXk5VfuKv6FJdxTMchCTZ951qpZsrTcHamELe6iQ9oeSGbGrP5dC5VARp7PDyCNowdSn+1O6/d+BmUg5dVfzbLit+/oss+16/74plxHwOIwvKuAu67eJQvTQaPKZs3yTwb7bURbZls9TbTbdbvnYJDUA0mUislAcq/o/vpLLpF/+OmbMr2Pcfr5518ov/nyyyb2+nEu37WQuOPVO0F9QCn72Dpooj3aLqIMzWPXEn3C/uyLi79qF5X3V//Sw/k07yzbgHgtC/VAWnEyD9zO3TLj//vooAykmBKvhle+YNuREraUTbSlRAHduAyrUeiG93lM4T2K2VZdPn739XL+1tnQcTY6Y060hE1nIMW9nfXtujiOm5kRKmHLnIEUlIi4PZDc23WgKy4DKssgpV0PAlSTLKvQL11cBpKxfUY2ybieT/r72j4/lel13nbbflFKQufjo/rdVx0SEZFHjp0OZaBdtD2+jM3KMYC0wetvFb04W9Vs4mG16rbMT7lVBbqtR5Zs/GbdltMrnZFK2PxsW6PnXtpZ2JTE90ASCZ/fRI9f4+2BFLN8MckQSfQ+Nrosutw3TQ+kYZhNtLtGFE9/njqDc7phr9nSNY0MpJL6rZdfJg942UNTjZr8hx+4SF73/i9Iw7ZEKeWfDPbbiBZnm/Jv3zsauq1uq56T2VAPpEjaY1IG0sZ1Tdk6l+3qDYxZ2Ep20h3lB5BGjAKU/G2uOq26LV/82Vv7NjgtSp6BmDyvoMedpO1YaMsPPm1Pbq+JeLoXk4jImcgsbGmctzgjX333bfLWD/2zvOH6/k3aB2YgmSVsKZtoBxlIk2f2eHruJfFTnGehexmWOdPQXLa4zBTzNkccOX56JTbQNj/troePH1+SRs0Ommif7t9EO3pruITN8QcqulzFceL2mzryNfhzbvsZSO7r/NqLL5lIz0m/hC2nQZ7mZyDZyg/O9X7PLrP8ddgStudduk2ed+m24RY2wc3nb5GD22blkWNLoayTpIlAwiVI4932NiRkIK3FiypbZltuwFgpbxKF9OfCOgPJHGtlzkDSF5slfQmbMnYVzUg/W81OEYAcx/cd9wxJJb1xWkY2pcnvgZTT7LWWCo7XcWWv773rkDx2fElUTILFWjP5UQZiPevCcAZB9Iqnro/utxHFTU8alzIY6oFkPN+mmWbMxutGf8t80lhGOlLdNeqay0x/v/URT1DWeoR+EsZ5dXQUVd1HxO0jP/O2yWVbrmXnblknv/PKQ/KBz94vR04sDZXJ06rb8p9efvnA+8VlINWMQak5C9ugWVA1fxMoQQqSDoxcuG1Ofv0ll478fDowMWqZc57MWHC/XjgiIieXOnJsacXvH2laP+XuUx8/cUa2z7f9cybdRDtpwJU0bXVPAMnogVTvmQHL+0eKdShoou0+aNzBjrSCSV5yLmHTTa0tJQ0vWBU959C/h2dhc5crawZSXuanGvLUqWVvFj53eZMaaZuD1rFnIHnnDtFVrewXPPOwebYlX/3+MVFexmkzQzZds27LqeVOpBF2ts9wmBI2/7VEhfdJCRlI0awq/ZpjCSDFPEU04NJvFsE9G6fl7E3Tcs7m8GzIOokhrwwkUUo+/bVH5Z++80RsD6R2w5YdC+5+w9+/r73NQ0QoYasMf1Ys74A87QWQ+p1SmDMJaHFX11uhDCT3dX7ymefJyw7v7NnglzvVmEWsbPTnpVPWyz641ucllKBhWGVfx5OUrSRnLVNKya0HtshU3XZL2Iy/jTsmMxUzQNAZmGaPFXdA4f59UI+XMjXR1kGPcQ0GF2dbMj9VL/UxIjojl0h4emxzF/X9o6dFRGTLTO950/xUUNpjq6BBtZ+BlBRAinw0jUgGUidVE+3eAEiSpKv2RdPLXOgsbEavGpPeRs39um0pUSr+IusktOu2nDrTEccoody9YVp+4LLtPfc116lxB5Baft+ZyGtW9Fg+ikUvkKz7iWXKQKrbcrqnB1LWAFLQ7kI/dNC+Vt9v+3w7dN9QD6SERtsiImdW3Nn3xrHdxvVA6m2infyZbFzXlE/9+A2yZ+N06Hb9mY46wU8SvUR/8r8eiJ2FzbTWTxXJQKoIf1YsW2cguRv4cqeb+JitMQfHuA3WTNnWV1Sfe8lZbrPQyDaqpzCc9AlK1ehPq+NncE1uWdLQ65teXyYxEwaqrar7iKou92pWs5V7rDPO6MbdmLpmW9KsWbK00jVuc9eFaJPetCU6QQnb5CNIOoA0roQhpZS858WXyKZ1vRk7ZWFuytHN2u2BZGQgnXEHT3EX3ta3g1JKy1LSrFliKZFjXhPt5H1G+Ha9DtUstweSHiTq2QIdicugcX92U0QhzVnYJkm/h7x7IJkD62ZCE+233LRPlCi584qgZ17NVrI42/H3lSsAACAASURBVMptEJrVdLMmJ86sSM2u+5+dZSl5xx3ny59+8YHQfc3AwLgDSCIiv/2Ky+WczeFB+1os1dH7AcsrYctSMtWuW3J6uRO6cJC9ibauVlBeMMYZmIHUrNnyn15+mVy+az40Y3ZiCVvkPekEgbFkDsYsapYeSEluvWCL/OW/fC+3bVcv4hMnzvhN5UXitzW9ra69rcNFAKki/GmDvQOyzkDq9DmpSJuB1G4Et+3eOC3zU3U/Zbu3ibaOiq/VTWY4esep431l//x0D4W6bcm3fuH2kQJer7x6l9w45JTBqK6qnnSWOaNirWrYlpyJzMKWR1XYdLMmSytB/49gBh6zx0pvRnASfb8yZCDpc4ZxBkhvPK/c+3XzOBtk8vT2wjFtiSlh0xlI+nl0H8qBGUgJV9xty23U6l1Pkk/+28PyD996XLpOcvZHmlXIDyDlNMV1WsWVsLnCAd7wfaabNXn7s/aHbjuwdTb2/HhS2g03A2m2Ve8b9IzelsdU5rcdXOx9zTV4SPQDSDoDKUsAqeGWsDkjNNEOHTNiMpDuvmVf7ONu99qfPOxlVIqE94OhEraeDCR3hzSOwG/cu43uJ4cJgL7nzovlZ+84kNuFPv1ZHTlxJrZvmmmtX2skgFQR0QykNAGktD2Q2vVgNbhu3yb5p597RvC6CQ3M+m2877nzYtkckwa+lvkZSE41SgD9EjbbGnlH/a7nHhzDEqFqKho/KnVPl7Wqbluy0nFCg/88AkhTDVuOnAh+15kc5hVoywqaZ+bWhyEHUwmz2qxmoRI276dfwiYq9ji8OSawMNOqiaXcQZ3+7tsNW44P6IEU/ajNJtorHcc/HxAR+fKDT4njOIlXs9MEIaM9kCZFv+8sfWNGYZYYpbk499O3n5/3ImUy3bDlxJKbsaJC62zve1FK+eviqD0q01pL+wxNB5D8JtqZMpBseeLEcmibzfoRxs3YrLfra87ZIHffcm7fx5v7pKQMpOh70hUtYwkgxbzh3oB69gBSs2bL4lx++xU/A+nkmdiZG01rPVt9DcaVq8lvoq17IHllZyv9AkgxJ0JxG2y7kbwxRncCeqfWL7vgBZdtl2u9qQ7hUToDqRpNyPWV8waDaQypqgfXqmZOrWb1mlvClncv6uhMbDqTw7KiTbTdv6dtol2CHtr+e6vqdjmMcDZHJJNH9Z7fNGtW7AyWlqX8rGydBNCu23JsYAZSfAmb30TbOH/bPNuM7YEUrEODV6Ky9UDKv4QtCPDqYEoVV+92o+Y2Xe46oeVXCbsXf5bcnDPN7vBaF6zFY+KiX8IW7rGVRqtuy+mVTihAnPWc3/FL2IxZ2GxdMjX4ucyAR6gHUr8MpDEGkOKz56IZSOVbr/Rne+TEcqiJth2zrH4J2xrcPkQIIFWGnzLvnYDooE+/ANJcu95zghsXRZ3qE0CK0hHqNbq9DK1yTbS95aOcB8Oa9CBmWGtxxpmyq1luCVuoiXYOfYXOXZzxZyISCQLoZglDqIRtUADJOxlNM/jPmz5nqOp2OYxwE233pzkwiw6Mt8y2EgcDug+Sfs6phu33y0rK+IneqgdsNcuSjuOEBihLK13pdmN6IGXosFG6Hkg59xgyB9ZmgLdqpr1t8+TySuj7Tnov+vY8SthMv3rnJfK5n7l5TR4Td2+ckr0bp2XflnVSs6zMGUinz0RL2LK9flz2Ut3Pshv8+NB3Zvwz1ES7Fl/CNpYm2jHLaB57apYqdeDliZNnQt9BPWYspN9Oed9FvhgdVoRfwlbTvWnc31f6NNFWSvWUscXVxmfZWegpFNfSSeg46JMCnYGUdGWpLPwrXCVpMonqKfG5ASqmUbN6MpDyiMn8xksvlZ9/flByq4+Xtopvoj2oRGfXBne6392RmWQmoVlzy5HX0rHb3Afpwcrlu+ZFROTOQzt6Buhx/Y+09VNuAEl/fmbmtg5e9L5+9Ip7kNG20nWk44icv3VWRNzBW9dxegaa+vc063t5MpDcn/2y28cpun1Wjb6Ie/z0SqjfUNI7KSoDqVGzYks614KZVl3+50/cIJfvWshewub1QDIDxGZAJ01QODQLmwQXMtIy72tuEqEm2okZSKOvV/GzsCW/dlnoz73TdeSpU8v+7fE9kKq3rxkneiBVhF/C5vVc0BvfoI1wcbYl9z9+0v89LmUwy0F+uSIlWGXjz6Ti918oN/8EZQ0NNjAeSrmDnSqnvV+6c728+NCOwXdEIeq26u2BlNNr2cYITpcMWFZw7FQq6IE0KMPiWQcX5b+9/io5vGchp6VNz238bFd6u8zKPE/Rh7Lt81Ny3z13iIjId4+cDN2/32BZN9I2M5C0pMFlUg+kmqWk0+2KEuU/z9KKGyBNKmHrpoggnbe4ThZnW7JxZrIz4xVVwqZPpJQKvoMqrt5tr7z0xFIntvF7lD4/o19fMcweW2m0624Ayby+Hwomp/jagrGCEXTx1/HBTzBMDyS9i8krAykcQCrnumvuZY+cWPL/HRe80++nivuccSCAVBHRlNX9izPyIzeeLS+5Ymffx/VkIMXNwjZUBlLqh0DMEjbdRLvcexxOUDAsJe5BeNJXwUfx4TdeM+lFgKFuW+605wVMZ2Ye23TaenSWp2AWtv7HTqWUXLl3Qz4LOoTpRm1NlaNYAwbj0X3Ulj6Tf/gz0+oMJGPykaTBUP8eSCKWcvyr/X4GkhX/HGnW/Mt3Lchnf+bmFPfMlz8LW85N5s1Pt1nhDCRdwnam0w29p6S3UlQGElyX7FgvezelzyJt1W05vdz1Kw5EspewmeVvej3wG8WneLw51kvbA0nLK/Br7tuyZHQVyQzUP348mJE17ri51jt8EECqiGgTbaWU/OQz9/d7iIj0NtKOzUDKsLMIZgao3kF6koIStmoEkPTycYKCrJSXgrSWBqrIl94P6Z4zIpJbClLcyballDSHaKJdNtNNu7RXfvMQagMy4Iq4SLoStrjyrMQMpMjvdaOnVqfbFUcp//xracUteenpgeT9niYDqSz8HkhjKIVJw3GCwXAVDzvmuhTXtysqOisz8vWeF1+S6f76+zx1puPfFtrXpNiUO0a5gn5kkAU7+PFJ+75+GUhacxwlbHEB+wqUsJm72SMn3ADSj968L/a+ZR/H5Y0AUkXobS3rCeuW2f49kJo1K9NATzfRXktp8OOgP66OUddcZlzhwrD0qr3WD64YH33cO70cnJDn0URbJHzlVq/CoQwko49Q1QJI73zOBX4p1loQmhI9xbTS0fMl0/xUpIl2fXAAKXpu1Yj0QKpZ7vpWs5ScWXGbxCfPwpa4aKXjZyAVNAubI8HguorHnelmMBSLmzkwyvLPz6r3XtcCHRQ+EQogBX9Pc+yKtrtQRuZrmm89tO8zHqHHbnp2uThjKWGLuc3cH5Z1bGFmfj12fEnWNWvyY7ee2/cxWSY6WE3K+Q2ih94ZZE37e9aFi/KG6/f6v0frOLPMwCYSRMWrXJ4yCfr7O7m0IkqVf+Bhc4KCERFkxrjogeip5SADKa8BdVwT23CT3mBg18y5RGfcrj93k1y4fW7Si1GY8GA85u+RGzf36R3UU8JmnDvFzdAjEpeBZPZAcqTTdfzg5BmvB1L0MUET7epEkIIm8/me5+g+dZtnmtLwtsUqZsebA/ZUPZCUEtUnAIDJ8gNISyv+beb3utxx5C1/9E99nyNcwub23QuCP9m+91AGkj14LDmOwG9VeyCZVfJHT6+kDNbltjilVu5RLHz2kCesW+fa8tO3n+//Ho36Zo00L3eqkUFTNvrjOr60ItONWulPcvT6FjdrH9CPXrVLvoqjQvRxyiwJyK2JdkzWip69zLZUZBY29o9lNqgHUvS2YZpo122VmMUdPc7rQVu7bsvRU8vSdcS/oLSUMAubvrpdQPuvsSmqifbrrtsj3/qF22X9VCMU4K0aMwMpTa9l21JSt63Sn0euVS1v33DSOF5FL6h95EsP9X0Os12IknDma9avPRRASlH+OI7soLisnEqUsEXOLNjEkpXzG0SPcaXMR5siZ51mVTeF48pHNvoC5fGllcxZX5NACRuGtcebsryKpQQoJz0QDZWw5ZSREZq9RoVvq9vKS/13by97JulaNziAFP49VQ8kv4m2l/HS5xp10ixsF+9YL0+cXJYHnzgVykByA0jhBwUZSIkvUzr6LYyjFKb/6wSD6irPwjaVtQdSxlnBUKy4DKSsDZdDJWzKzVoM1o2MGUhmCVtke8lL3Lpr3lbWsYXR91xE+mc0VmmfnAd6IFWENaaNPppqnTWAdNorIYibzQ3J9A78+NJK6GpTWfk19gQKkdEfvu4q+dJ3nyztLBuoHt2M9+SZ4IQ8twykmOmP/eOvd9Vf/577NOUYiTJ2QbHTMBu3TTVsWdfn2KwDSPoanD536vQZRURfslFzbzi8Z0FE3Fm3bKWkWbPdJtrdmAFLBZtoW15gp8hBYtBEu3rnLOZ5uLn0SYNX97Ot3vtcK3QA6WRSE+0Uotu7rcwAUrZ9QVwT7bwDkHHvNhxAKuf6G/1kGQIlK/9IFiIyfAlbVM1WoQ1kqp5tFfje0dNiW0oWptdOI85x0DvOE0sdmW6Wf9BBCRuGtWmmKbcc2DLpxcAqUmQPpLjsWj/tv2ZHeiCxfywzs2Qi7ns1B3WvvHp336vNvSVs7rlTp09tWTQ7SQdU9m6clo3rGvLY8TOivP5aZzpdcWJK2PwMpMRXKR9LibQK3jaafgZS9UZ8ZkP2NIEGS5U3gwPBBY/jCT2Q0nCMCXeUiChL+ZmvWctZQzOL6hmWY7bPT//EDfLAE6eyPXmCuPdr3lbW9Tea2dw3A6lSe+XxK+c3iB464WfUq/rRErZWxgykh548JZtnmpSwZaR3Qm4JW/njtjTRBlAW+oT8VAEZSHEDOLOE3DKamVatifZaYw0MIAX/fvuz9vd9Lj+AZIV7IPV//fDvDSPIccXuBW+53GwAt4QtZhY2LwhVpSbaSqnCs/PqfgZSoS87FjXbMmZ5HHz/orO7kE3Lz0AyStgyrpd+CZsKSjX1vidrNqL50pblNmCPy0DavXFart23MduCJr3mgPdb1gz16Gfb73ur0C45F+X8BtFjfqohN+3fLId2zY/0PHXLCu1M2hmbgD52fEkW55IbTSKe/syPn16RaXogAUBqOlBzyuiBlJdQoMFooi3invTalpLFuZZsmW0SYC+5uNINU5ayklbdHeTr4GGqAEnk+c3jqS5jsy0lzbrRRDtyyK1iDyRLFV/eGTTRruY2GZwXDl5+27JKOwBHUJJ4Ymn4ErZOaBY2byIHv5w12/JEX9pW+QcgY0vYjH+XdWyhP/bZlr7QX839SRHKnwoBEXE3tvf94BUjP090tpA02TC3HtgiR08tyz9++4g4jshWAkiZ6YPHqeWOTFWgB5Let5d1Jw9g7WjFzMKW14ja7JWj/2XOXKOUkpcd3ikvvHx7Jctl1pLBGUjpvz+llJy/OCM7FtoiMmQGUkwASSm3IfLSSlcc6S2Z0L9WqQeSUqrwGQqrPAubiHsu/sTJ5VTLb1tkh5eZ30R7hAwkv4TNOwqZPZCyZiNG9ym6cX8elHIPzfElbMG/y7r+6v3sxpmmHD29kup7W6vnAeUfyWLszF1PmqtEv/PKQ/L/PfCUPOc//q2IiCzOtnNastXL3L9UIQNJH6iiJY8AUDRdwnba7IGU02vFTcmus0LaDVsa3rTtLav8+/G1zvwqB5WwpfHnP3KNP1hIE0BK6oEkIrJ/cVY2rmvIXLsuzbotR08ti+M4Pde79etVJ3wkcuv5W+TCbXOFvqYOzlV1MKfXpzRBzSIySDC8YBa24IJH1vVSP7ZVd6tGzBK2UWPJeQaQtEHvtqzrr/5oN65ryr2Pnuhbirdzw5SIiLz++j35L1gJEUBa49JOKW9uRGQgZWfug6rUA4mpYgFMmj4hP9MpoIm2cbDTVyP1/vDdzz1I6UiFjDMDSSQ8CEwzg21SDyS9PB9507Uy267L3X/8z3Ls9LIsLXd7lkn/XqUMpDuv2FH4a1a9hE2fi6dZfMtSUq/o+1wL9L4h3AMp2/d19PSyiIjMtOrezJ/BDJCjNm+2LZX/LGwxb9ecfKmsYwu9m920riki/b+32VZd7rvnjiIWq5TK+Q2iMO2UdermRkQPpOzME89+UwWXhT7ZJgMJwKQV2U/FDDToGbZ0UOnC7XNy3uJMYcuC0YR6IMUMBOKyzdJKc+4Ufclo2cZZ69uyrlmTZs2Sbz16Qo4trciVexfin6M68aOJaK6CEjaR9BlIZR2AI1gXT54xeyBle46nTukAUs3NQPIaaYuIdLt9HphCIRlIMe+3WbPlvnvukA3TjfJmIOkStnVusKuiu5NClH8ki7ELNdFOmYFkNnYkAyk7c2c61Sx/6YM+2a6lmRIEAHIUF0DKawpdM4D0wsu3yz/ee0TedNO+XF4L+VIDMpBGkSaTOFq2kjRo2jTTlNlWTX7tJZfITfu3hJ/D+0n8qD9/FraKRpCyZCA999JtlQ2UrQVKKWnX7dCkD5kzkE4FGUgi7v4rKGcdbW9Qs1RuPYiUuPuqaPmu6exN62TvpulcXn9UukH5Ri8DqaolsUUggLQGmbseMpCKYe6CpqtUwlZj5wlgsmzvhHe5Exy9cithM0ZmM626/PZdl+fzQijUuANIaS6+9WYgxQeQ3nHH+fLjzzjXHyzGPUc369RLa4zOqKjqeE+vT/0G3tpdV+3Ke3EwonYjHEDKul4+dcotf5tp1YJZ2HQG0oi7AkspadRyvpDd5/1+6H+7Ot/XHoHZRFukuvuTIpR/JItc7duyLtX9zHOvzTMEkLIyA3Bp+05N0jmb18k152yQA1uLbYQJAHFaNVuWO0FPibwCSHpfXdZZYjCc2tgzkNL0QApnQCUFseq2lRhc8mdeGmIZ15Kq90Ca9kvYJrwgGIvoxfnhM5BqIuLOwKYrA7LOwhbVrFsylXNZeFVXY6cnA2mCC1NyBJDWsDffdI5ct29TqvvqNL6N65o0ER1CaBa2CvRAWj/VkD983VWTXgwAEBGRZt2WY0srg+84In0FcsN0M/fXQnHGXdqUpoeH+Yqj9qypUhPtSdCfb1UDMDoDqaoleAjTM4dqWQNIZzpdadQsaXqZQuYsbKNmIP3Kiy6RLbP5Ht+qWvqlg3NTDVumGnZlA9JFIBKwhmU5H9GRb/ofDSfUA6kCGUgAUCbRE/K8htObZ5ry6mt2y3993eGcXgGTMO4MpDTMwcewGW1+BhLxo77qtgoNuKtmuqlL2LAaREtcLSXy0Tdfm+k5ZlvuxWal3P2X3oWNmoF0eM+C7NqQbw+iqq7H+pO1lJL5qUZl30cRyp8KgbH43M/cHJoRICt9EkP/o+GY0fgqZCABQJlESwJGPYlOopSSdz7nglyeG5OTx5Xk/YszctvBxcS/my85bOb2Wevdc67t8+2hHr9WKKXkA685LOdsTteWoWx0U/aqZm4gLHq8UkrJwW1z8qyDi/JXX/5+qufQPdGUuJlp4+qBVISqZu74M69aShamG3KigKznqmIku0Zsnu0N/GTZvvV9yUAaTtWaaANAmURnYiMjA1nUcuhp9fG7r+/7dxXKQBougPTMCxbl9199hVyfst3AWnbl3g2TXoSh6cx0KthWh+jxSn+v5kQQg8wYGUi2UpXqh1bR+JEfnLMtkfnphpw4QwApCSNZpKJrb8lAGo4VykCqZoo1AExKbwlbFU6jURb2BEY0etD43EvOkkO7F4Z6DqWU3HDe5jEuFcpIB5Ciq+lcuy53XLR1AkuEUfQ00fZ2Bivdburn0AEk/XidgZRX9u04VTR+JDo8ZyklV+1dkHsfpRdiEgJIa9A152yU93zi66kbaIuILEw15Nwt6+TwkCdBa124BxKbHQBkEb2iC2SRNANanvQrXr9vk/zA5dsLf31UR9ufhS28nn7pnc+YxOJgRHE9kEREVrJkIDV1CZuK9EAayyLmQinlLmBFI0hBBpKSN95wzmQXpuQYya5Bl++al/vuuSPTY9oNW/7Hjz09pyVa/ZSQgQQAw4o2xy3zSTTKZxIBJJ11kEf5HFaXaT8DiXVlNYjrgSQistzJnoGklDcLm9I9kMp/8FMVjSDp7K6q9nAqErOwAQXQ565KibQqOksIAExKUbOwYXWaZAbSJF4b1aIzVlhTVofeHkjuN9vJ0AE71ERbVauJdlXjL2YGEvojgAQUwdsXTdVt/6okACCd3ibaFTiLRmlMJIDkjaIm0X8J1TKdUMKGakoqYVvOFEAKioRsS/ljhzIf+1TkZ9Xo7C4CSIMRQAIKoNM5p5tUjQJAVtGSACCLSQzM9UsyGMEgzMK2uvQ00fZ2BitDlbC55Wv+LGzljR/5KluK6X22BHIHI4AEFECfFBBAAoDsKGHDKGqT6IGk6IGEdKaaQb8bVF9vDyT3Z5Ym2rNeCZuIu/+yq9QDqaLrMRlI6RFAAgqgo/FTDa6iA0BWPbOwlf8cGiUy2R5InGqjv6k6TbRXk1bkXF/vf+an63F3j9Vbwub+O+2h7+q9G1K/1rhVdS3Wny1lx4NxVAMK4GcgNchAAoCsenogTWg5UE2TGJj7GUhczcYA61o12TTTlO3z7UkvCsagJwPJC6n8xksvkyt2z6d6Dr+JtnJndMyagfT+1x6Wf3vXbWkXeayqGn/Rny0x/8EYzQIF0DvTqSYZSACQVbMWKWGrQBo/1jh6ICGlum3J537mZjKQVomknn2bZpryiqt2yefve2Lgc+gMpIZtSbNmBRPwpDz01W1LJtU6sKrrMbOwpUcACSiE10SbDCQAyExnINmWyjQVMjApOgOJwQjSqOqgG73ajfAFD/OrTbs/0AGkX3rhRbJxXVOOnDgjIhXpgTTpBRiWDiCxLQ7EaBYoQNBEmwwkAMjKDyApJR1xKGFD6QU9kBiMAGtJ3U6ugaqlrI/SJWxX7F4QEZGnTi2LSJAlU2ZVDYYGJWzVXP4iUeUHFCBook3MFgCy0rOw+Y1EK3ASjbVNr6v0QALWFtUnB6eeclZGs4m2iFRiFjYdN6rqHo8m2ukRQAIKoHdFZCABQHa6p4S+eksOEspODyLJQALWln7Hp1qf7CStYVs9E0fomEaJ40e+qsZfdHDOThnkW8sIIAEFsMhAAoChmT2QRKpxEo21TQ+i0pasAFgdNs+0Qr+b4Yh6ioByNPtIxDz2lf/g1y8Dq8wceiClxlENKIDeF003yEACgKz8ErYKXYXF2rZppil1W8n8VH3SiwKgQOctzshH33yt7Nk43fO3NBmJ/QJI1eiBNOklGA1Zo4ORDgEUQO9Mp5pscgCQVbPmBt+tqp+ZYs24eu8G+fw7bpH1U41JLwqAgh3cNhcbiEhTwqYbaJv0sa/M5dtu5lF5ly8tzjMGIwMJKECz5m5qc22uRAJAVrqETU9IUIU0fqxtSimCR8AaFnecStNEOy4DqUrZt1WPv5CBNBgBJKAAZ29aJ7/9isvkpv2bJ70oAFA5uoSt6iemAIC1xTxupemJVvkStor2QNKIHw1GAAkogFJKbju4VeopUlcBAGE6A8m/CjvBZQEAYBDdA0mXYIuky0C6ef+WntusCmXfVvVCz8FtsyISZDojGQ1ZAABAqbX1LGz+SfQklwarxW+/4jLWJQC5eM+LL5HP3XtEdixM+belKY+684odPbcFGUjl32FVNf7yh6+9Su4/cmLSi1EJBJAAAECp9fRAIgcJY3Dbwa2TXgQAq9Rsqy63HAhnEw1biRA00S6/qjahnpuqy0VT6ye9GJVAPQ0AACg121JSt5Xo9hEVuAgLAEBILUUJWxx97OtWoAlSNcNHyIIAEgAAKL1Wza58c04AwNqVpol2nCqVb1c0AQkZEEACAACl16zbMtVwS9ku3DY34aUBACCbNE204+geSKWOH6mef2CVogcSAAAovVbdkrl2XT78xqfJuVtmJr04qIDDexbkzEp30osBACKSrol2HMUsbCgRAkgAAKD0WnVblBK5dOf8pBcFFfGhN1w96UUAAN+wTbSDWdjGuTT5IH60+lHCBgAASq9dpwcSAKC6akNmIOkeSN1KZCBxnF7tyEACAAClt2mmKY0hr94CADBpw5ewuT/LHD9SkZ9YvQggAQCA0vvlF13MiSkAoLKUUlK3lSx3skWCLN0DqdxttEWEHkhrAQEkAABQegvTjUkvAgAAI7Gt5ABSsxafZVu3lZy9aVrecvO+PBdtLCg1X/0IIAEAAAAAkLO6ZclpiZ8d8iNvujb2dqWUfOrHb8hxqcaHDKTVj2YCAAAAAADkrGbHR1heeninnLc4U/DSjB8BpNWPABIAAAAAADmrJUwGsVoCL8zCtvoRQAIAAAAAIGf1IWdiq4rV/e4gQgAJAAAAAIDc2ZESttWWsLPa3g96EUACAAAAACBndSs8/La8iEvV4y46cMQsbKsfASQAAAAAAHIWbaK92sItZCCtfiMFkJRSC0qpTyilvuH9nE+4321Kqa8ppb6plHq7cfv/rpR6UCn1z95/t4+yPAAAAAAAlFEtIQNptVhd7wZxRs1AeruIfMpxnH0i8inv9xCllC0ivykizxKRAyLyUqXUAeMuv+o4ziXefx8bcXkAAAAAACideiQDSUdcVk0cabW8DyQaNYD0XBH5A+/ffyAiz4u5z2ER+abjOPc6jnNGRP7YexwAAAAAAGuCba3OEjbd+4geSKvfqAGkLY7jfE9ExPu5OeY+20Tku8bvD3i3aW9SSv2LUup9SSVwAAAAAABUWc1OaqK9OgIvqyaTCokGBpCUUp9USn055r+0WURxq5Hj/fwtETlbRC4Rke+JyK/0WY7XK6W+oJT6wqOPPprypQEAAAAAmLxoCdtqC7issreDGLVBd3Ac55akvymlHlZKbXUc53tKqa0i8kjM3R4QkR3G79tF5CHvuR82nut3ROSjfZbjvSLyXhGRQ4cOqY2Y+wAAE81JREFUOUn3AwAAAACgbKJNtFdbwEWttogYeoxawvYREXmV9+9XichfxNzn8yKyTym1RynVEJGXeI8TL+ikPV9Evjzi8gAAAAAAUDrRDCS/hG2VxF2sVfI+kGxgBtIA94jIh5RSrxWR74jIi0RElFJnich/cRzndsdxVpRSbxKRvxYRW0Te5zjOV7zH/wel1CXilrTdJyJvGHF5AAAAAAAonWgT7dWWgrRaejkh2UgBJMdxHheRm2Nuf0hEbjd+/5iIfCzmfneN8voAAAAAAFRBUhPtVWOVvR30GrWEDQAAAAAADFC34ptor5a4y2qLh6EXASQAAAAAAHIWzUBaLfGW1RYIQzICSAAAAAAA5Cy5ifbqCL2slveBZASQAAAAAADIWbSJ9mqLt6yyt4MYBJAAAAAAAMhZzYqUsK2yCJIz6QVA7gggAQAAAACQs2gJ22oJH62W94HBCCABAAAAAJCznibaRF5QMQSQAAAAAADIWd2Kb6INVAUBJAAAAAAAcmZHeyDpnxWPI/3eqw/LHRdtlemGPelFQc5qk14AAAAAAABWu1q0B1LVI0eew3sW5PCehUkvBgpABhIAAAAAADmLNtEGqoYAEgAAAAAAOatFS9i8eJJiHjNUBAEkAAAAAAByFs1Aook2qoYAEgAAAAAAOetpoq3CP4GyI4AEAAAAAEDOeppoT2g5gGERQAIAAAAAIGeUsKHqCCABAAAAAJCzaBNtUaEfQOkRQAIAAAAAIGfRDCQCR6gaAkgAAAAAAOQs2kSbEjZUDQEkAAAAAABy1tNEm1nYUDEEkAAAAAAAyFmdDCRUHAEkAAAAAAByFs1A0hSBJFQEASQAAAAAAHLW00SbwBEqhgASAAAAAAA5622iPaEFAYZEAAkAAAAAgJzVrIQm2hNYFmAYBJAAAAAAAMhZ3aaJNqqNABIAAAAAADmLNtEmfISqIYAEAAAAAEDOdi1Myauv2R3cQA0bKoYAEgAAAAAAOavZlrzzORf4v9NEG1VDAAkAAAAAgIIp/yeRJFQDASQAAAAAAAqmaKKNiiGABAAAAABAwShhQ9UQQAIAAAAAoGC6dI1EJFQFASQAAAAAAApG4AhVQwAJAAAAAICCEUBC1RBAAgAAAACgYH4J24SXA0iLABIAAAAAAAWzGI2jYlhlAQAAAAAoGE20UTUEkAAAAAAAKBiBI1QNASQAAAAAAAqmiCChYgggAQAAAABQMOX/JJCEaiCABAAAAABAwSziRqgYAkgAAAAAABSMEjZUDQEkAAAAAAAK5pewEUdCRRBAAgAAAACgYGQgoWoIIAEAAAAAUDAdPyKMhKoggAQAAAAAQMFooo2qIYAEAAAAAEDBFLlHqBgCSAAAAAAAFEzRRRsVQwAJAAAAAICCWQSOUDEEkAAAAAAAKBrxI1QMASQAAAAAAAqmIj+BsiOABAAAAABAwShhQ9UQQAIAAAAAoGA6fkQcCVVBAAkAAAAAgIKRgYSqIYAEAAAAAEBB/MyjyS4GkBkBJAAAAAAACqIi/1CEklARBJAAAAAAACiI8lKQKGFD1RBAAgAAAACgICryE6gKAkgAAAAAABTEimQgkYiEqiCABAAAAABAUXTvIwJHqBgCSAAAAAAAFMQvYWM2NlQMASQAAAAAAAriB45IQULFEEACAAAAAKAgfu+jCS8HkBUBJAAAAAAACtJTwkYkCRVBAAkAAAAAgIKoyCxsQFUQQAIAAAAAoCA0z0ZVEUACAAAAAKAgQQmbCv0Eyo4AEgAAAAAABQkCRxNeECAjAkgAAAAAABQkKGEjgoRqIYAEAAAAAEBBdNjIIn6EiiGABAAAAABAQSxK2FBRBJAAAAAAACiIX8JGIAkVQwAJAAAAAIDCEDFCNRFAAgAAAACgILr3keM4k10QICMCSAAAAAAAFCRassZsbKgKAkgAAAAAABSEgBGqigASAAAAAAAFUX4J22SXA8iKABIAAAAAAAWJ5h8xCxuqggASAAAAAAAFUV7EiAQkVA0BJAAAAAAACtLbRBuoBgJIAAAAAAAUhJI1VBUBJAAAAAAACmLpEjZq2FAxBJAAAAAAACjIVXs2iIjITKsmImQkoToIIAEAAAAAUJB3Pe8C+eRbr5eNM81JLwqQCQEkAAAAAAAK0qzZcs7mGZpno3IIIAEAAAAAUDBduqYIJaEiCCABAAAAAFAwAkeoGgJIAAAAAAAUzM9AIo6EiiCABAAAAABAwYgboWpGCiAppRaUUp9QSn3D+zmfcL/3KaUeUUp9eZjHAwAAAACwmpB5hKoZNQPp7SLyKcdx9onIp7z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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + " # plot the daily portfolio returns\n", + "core_portfolio_returns.plot(figsize=(20,10), title=\"Daily Portfolio return\"); " + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2015-11-20 0.006532\n", + "2015-11-23 0.002581\n", + "2015-11-24 0.001639\n", + "2015-11-25 0.003645\n", + "2015-11-27 0.004906\n", + " ... \n", + "2020-09-25 1.474158\n", + "2020-09-28 1.508525\n", + "2020-09-29 1.507425\n", + "2020-09-30 1.536714\n", + "2020-10-01 1.555398\n", + "Length: 1224, dtype: float64" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Calculating Cumulative Product\n", + "core_cumulative_returns = (1 + core_portfolio_returns).cumprod() - 1\n", + "core_cumulative_returns" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SP500
2015-11-200.003810
2015-11-23-0.001235
2015-11-240.001222
2015-11-25-0.000129
2015-11-270.000594
......
2020-09-250.015977
2020-09-280.016111
2020-09-29-0.004813
2020-09-300.008254
2020-10-010.005293
\n", + "

1224 rows × 1 columns

\n", + "
" + ], + "text/plain": [ + " SP500\n", + "2015-11-20 0.003810\n", + "2015-11-23 -0.001235\n", + "2015-11-24 0.001222\n", + "2015-11-25 -0.000129\n", + "2015-11-27 0.000594\n", + "... ...\n", + "2020-09-25 0.015977\n", + "2020-09-28 0.016111\n", + "2020-09-29 -0.004813\n", + "2020-09-30 0.008254\n", + "2020-10-01 0.005293\n", + "\n", + "[1224 rows x 1 columns]" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#SP500 daily returns\n", + "\n", + "SP500_daily_returns= Core_returns.drop(columns=['AMT', 'ORCL', 'PPG', 'COST', 'MSFT', 'UNH', 'TROW', 'BLK', 'NVDA', 'FB', 'BABA', 'CRM', 'PFE', 'NFLX', 'SQ'])\n", + "\n", + "SP500_daily_returns" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SP500
2015-11-200.003810
2015-11-230.002571
2015-11-240.003796
2015-11-250.003666
2015-11-270.004262
......
2020-09-250.584853
2020-09-280.610386
2020-09-290.602636
2020-09-300.615864
2020-10-010.624416
\n", + "

1224 rows × 1 columns

\n", + "
" + ], + "text/plain": [ + " SP500\n", + "2015-11-20 0.003810\n", + "2015-11-23 0.002571\n", + "2015-11-24 0.003796\n", + "2015-11-25 0.003666\n", + "2015-11-27 0.004262\n", + "... ...\n", + "2020-09-25 0.584853\n", + "2020-09-28 0.610386\n", + "2020-09-29 0.602636\n", + "2020-09-30 0.615864\n", + "2020-10-01 0.624416\n", + "\n", + "[1224 rows x 1 columns]" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Calculating Cumulative Product for SP500\n", + "Sp500_cumulative_returns = (1 + SP500_daily_returns).cumprod() - 1\n", + "Sp500_cumulative_returns" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(core_portfolio_returns)\n", + "plt.plot(SP500_daily_returns)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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hAFrrmcBc4HQgEygGrrLO2ZRSNwPfAKHAa1rrDQHogyAIQc7evBKeWmBizfjLXz7Kcp0srag9Lv01Y3vzx+P988zmok6h11pPq+O8Bm6q4dxczA+BIAhtiOJyG2fPWELH+Ei6JkVTadc8/Yf0Bt/vytdWAPD8tOF+ix7pCG52x4drmX/r+BrrdUpsPSkDa0JCIAiC4HfW7s4jM6eQzBxXsLHbTu1Ht3YxtVzlnfV78ti834QgOGOI/yJHRoUbU8yW/YW11muM62ZLofUanQRBaJEcKCzjp8zcauW/uEWArA93WqtfJw1MJcSLN0xD8bbqFaqnGIyqoV5rQkb0giD4leveWsnqXUeqlecUlDXofmGWuD9y7uBGtasqNXnr3Pe5Z7SXyPDWPx5u/T0QBKFF4U3kQxQcKS6v973ySyvYkJ3Hn0/q40wN6C+iahDwnQeKPY5rGvm3JmRELwiCXyizVWKr1ESEhVBuszOhfwoT+qUwrHsSN77zK4eLK+p1v+v/t5JvNpj8ryMCkKM1uoYRfZck84Ny2XFpfLNhv9fFU60NEXpBEOrEbteUVFQSG1mzZIx86FsKy2wA/PeKUYzvl+L0PU+KieBILUKvtSa3oMwjKYhD5AF6dYhtbBeqUZPpprTCTr/UOB4+ZwgPnzPE789tDkToBUGolSPF5Yx4aAF2DbdN6sctJ/etVsdWaXeKPOAh8gBJ0eHklVQ33SzdfpCLZy11Hv/4t4l0b1/dM6dru+jGdqMaNQq9rTIozDXuiI1eEIRamfTMYuxWlKqnrUVLVTlUxf5edRVpUky41xG9u8gDbMjOB2DFTlfA3GHdkwgP9b9U1WSSKa2orNF+31oJrt4IQhChdY0xAJuUXB+8ZQ4UuITem+07KSacIyXVhb5jvFmMdMP4o8z27VVorXnrl98BeG7acD676YQGtbuhlFbYGxQ/pyUjQi8ILYy84gpOevJ7et09t9nE/pbZq+l511cc/+h3ANw44SiO7pxATIR3ATxYZH4MTuyXwoc3jKl2PikmgtyCMmYt3uZRHh0RytT0Ltw1ZYCzrNfdc1mwcR9HpcRy1lD/LZDyldIKMd0IguBH1u/J4/JXl1FmBdb6cOVuhj04n+1WZqNDRfV3SWwsuw8V8/laE2g2O68UgJOPTmXS0R0pLq/0GtnxYKFp5/1nDWRw1+pRHpOshNr/mpvBtW+upOddX/G3j9by+8Fi4rxM8JZW2Km062ZJ25exr4AAWIqalSDrjiC0Lm6ZvZoftx7g5Kd+4Ovf9jpXgTo43ADf84by+pIdDL3/G95dvguAK8b04MR+Kdx5Wn9G9mhHfJQR6773fM2G7DzndW8v/Z2/vr8GwMNrxp2kmHDn/rebjDfNByuzANdK1KomGm+mHn8z/cTeAM6J5IOF5s3E3eMnGBChF4RmpGOCsVFnHS5xZk465ehUXr/qGAAOFQVe7Bw88MVG8kttLMrIYURaEg9OHcxbV4/mpol9ABjf35Un4oznfgLgcFE5//zUrCQd07uD19E5QGJ0RI3PPenojoCZdH32Ylfgs8gmCAs897e9ADwxLwOA4vLaI1m2VsS9UhCaAFulnSMlFSTHuSIhZh0uZtmOQ/RPjXcG7QLomhRFqrUK9FBRw8IGNIaMfQXcclKfauX9UuMJDVFUWi4489bvI8WaTP3H6QOYfuJRNd7TfUTvzr1nDuTMoa5olJ0TXW6UTTEharf6Ulhm48znf2T9HuP189y04QF/dlMiI3pBaAIe+zqDUQ9/S36pa4T+664jaA03TOjtLIuPCuOK43vSOTGKEAUrdx5ukvZ9u9HTVHF05wSv9dLcfNxveHsVByxTx5jeybXev12M9xF9QrTnD4C7bfzhc/wb28YbYdYD7XbtFHmAmCDzupERvSA0AV+v3wdA9pESXvltB+cO78pT8zcDMK5vCn85uS9d20Vz0ShX9s3Th3Tmo1+zuOeMowM+KXntWys9jh0j9arYq3gBOYQ+Ob5m0wxAQrR3qTl5QEeP4z4p8YDJzzqub+BTijoCptnsnv2KrsG7qLUiQi8IASavuMLpfvjqjzv4cFUWzy/cikMz28VEcOukftWuS++exJfr9pJfYiOxBtNHY9Bas3T7IdI6VF+J2qOGkAOVVQRxh5XWr0Ns7ck52sd6/yFoV6U8MSacnY+dUeu9/ElYqBH6qp5EweZHL0IvCAHkszV7+Mt7a5zHH64yniYOkb/3zIE1rtB0jCpLbZUk4l+h11pz9RsrWLTZFTf+2YvTKauwc7i4vMYR/ePnD+XxeRmM6d2Blxdv55WfdpAYHV5nPtXIsFB2PnYG57ywhDW7j/DA2YMY27d2c09TEBZi2l1mqyr0wWXVFqEXhAChtfYQeQepCZHszzcj/ItHd6923oFj0U65rbrfemPZkJ3vIfIAvZPjGNKtug+8Oyf0Sebzm8cC8PLi7QB0qGG07o0XLx3BuqwjTB7c9AuhvBFujejLKjz/jWuKbNla8elnSyk1WSm1WSmVqZS6y8v5O5VSa6zPeqVUpVKqvXVup1LqN+vcyup3F4Tg4PF5GfS86yt63vUVxeU2jxR1i+6Y4Nz/80l9ufTYNB4/fwgxETWPtRyjZMdiKjBvCEPu/6ZR4p9bUMaZzxv3yDtP6+8s92bC8YW6RvPudEmKbjEiDzhj6JTaPN0qg81GX+c3pJQKBV4ApgADgWlKqYHudbTW/9Zap2ut04G7gR+01ofcqky0zo/yY9sFocXw0Jcbeel71/L+JZkHnT7aj543hF7JLpv30Z3jeeTcIfzhmLRa7xlhidBf3lvD+j1mgdLjX2dQUGpjf35pg9u6MMPlYXPByG7O/cTo+pmHrh3bC6g+kdmacNjoS2VEz2ggU2u9XWtdDrwHTK2l/jRgtj8aJwithVd/2gHAmVZslt+yjvDrrsMM7prAtNFG0KemG3/xkT3a+3RPRwq7Ddn5/PdHYyZxuCMebGBohIpKO28vNStfNz88mdQaVrL6Qr9U4yETCNNSU+GYHymrMqIPtslYX4S+K7Db7TjLKquGUioGmAx87FasgflKqVVKqek1PUQpNV0ptVIptTI3t3piYUFoqWzPdZloZlwygu7to8nMLeRgYTmd3IT0mYvSyXxkis/3jXRzKs+xbPqOUbdjRG+rtDP0/m/4bM2eOu9XUl7JoHu/4bc9eYzrm+ycA/johjF8d/t4n9vloE9qHAC7DhXXUbPlEqK82+ibYlVuU+JLb7y5BNT0rnYWsKSK2eYErfUIjOnnJqXUid4u1FrP0lqP0lqPSkkJvP+s0PbYn1/Kla8vZ29eiV/v+/GvxpPm29uMWO4+VMLc3/axcW++x4KgkBDlXKDjC+62b4ewO4Q+xzreuDef/FIb//l2a53327Qvn3LLjbBPxzhn+aie7TkqJa6my2okvVsS4LmIqrVSdUTfHMHUAokv/+uyAHfXgG5Adg11L6aK2UZrnW1tc4A5GFOQIDQ5SzIP8P3mXG59v7onDMC7y3axdnf1xNZ1sS4rj6HdEj3E00Fjogy7C/32A0W8vfR35lsrWHOsGPGrfjcrZ4fW4S0DMOdX16g/vpaUgL4SEqL44c4JfPyn4xt9r+am6og+4FSUQEHTBU7zRehXAH2VUr2UUhEYMf+8aiWlVCIwHvjMrSxWKRXv2AdOBdb7o+GC0FAyc4qqleXkl/KPOb8x9YUlZOzL93JVdfKKK/i/T9fz49YDrMtyRXO83W3x04i0pAa3s2pMdEfwMDDxaLTW7Dzg24IlgHkbzOrcpJhwTh3UqcHtcqdHh9gafe5bA44f4gK3NIhNwlvnwFPVF8kFijp/1rXWNqXUzcA3QCjwmtZ6g1LqBuv8TKvqucB8rbX7X1EqMMd6DQoD3tVaz/NnBwTBVxyhaA8UlmG3a0LcFirll7r+0K94dTnL7zmlxvvkFpRx1RvLPWKjuHP+yG68v3I3t03qx7nDvU5n+URNC6kAFmzcz3PfZfKmlYnJW4x4B1+uy2Zg5wRyC8q4blwv7jljYI112zrDuidx/1lN8O+ze2nddfyIT+9vWuu5wNwqZTOrHL8BvFGlbDswrFEtFAQ/scFNmHccLHLapf/9TQbtfRgRO5j5w7ZqIv/Q1EHO/S5J0fz095Ma2VpXXJmjUmLZZoUacM+9+tYvO511a/J8ydiXz83vrnYe19eFsq3x11P6MjytXdM9UGtogvmA4JpaFoRaWPm7y0dgn5U56UBhGS8s2sZDX24EjKjmFJSx40B1844D95jlT5w/lGHdEhnfr2ON9RuKI6TxeSNcvu6O8MVgXCwd4X+X7jjo9R55VRJyO5KHCN5pkh/CMpeXFvamMRmJ0AttArtdsy+vlNE9jQ+7w4zz2x6XbV0pnNEjP1i52+P6nALXAqWc/FL6dIzjt/tP5aJjuvPZzWMbvKq0NtrHRrDxwdO4cYIrzntcVBi/3G3eFgZ0indOIv5+sLhawDGAA4We/vbhwZYjr5GMqxJvJ6opcsWufNW1X9k0GcTkWxfaBBv35lNUXslxR3UAoMgS+k17XSaY3smxXDfOxIaPcBPEBRv3M/qR7/h52wHAmH3S2sc0yeg4JiLMw9UvLjKMzonRTBnciYpKu4dboDfzjSOMsIOC0qbLWNUacKQSdFDbvIjf2LPKtW9rmsQyIvRCm+CXbca0MdnyNikqs1FYZmP3IZdP/aAuiYSEKCLDQjxin6zcecjaHiZjXz7bc4uY0L951nrERZlptdSEKLKPlGLXkBxngoot3V7dfJOZU4hSMM0KnuZYzSoYqvrLN8kLT+4W176M6AXBf+w4WES7mHB6p5iYM/mlNi57ZRmzrUTYAIO7mqxKUeGhfL4m2zlCdgQeW7r9IM9/lwmYpCDNgSORdkp8JCUVZt+Rfu+qN1aQmVPoUT9jXz4DOiXw6HlD+envE5k4wP9zCcFESKAnRu12yN8DMebNkmLvcyv+RoReCHq27i/g3WW7OLpzAlHhoUSGhZBfUlFtwnVQF7PoKK+kgr15pcxYaFab7jxo6v287SBfWYHK3HO/NgWOTEjbrHALjlE8wOCursVSuQUuU8A3G/axYudhp3mqW7vWv4I10ATcdJO9GsryYejF5vjwzsA+z0KEXgh6rv+fsYk6PCoSosPJK6mgpKKS1IRI5xL+AZ08zRq5heUs3pLLnNV1x5EJNOsfOA2Ak6wRufv8gHu7i8tdXhyfWKEZHEHVBIta7OIBH9H/9LTZjrrabN+7BF4+EYoP1XyNH5DEI0JQk5lTyHZr5D413Sxeyiuu4L0VxqvmijE9uXZcL/YeKaVDlVH67OW7PEw7Du5rigU1VYgKD2XNvZOIs0IXFLot8Jo2Og2bXfPQlxspcnP9zCkoY3Sv9vzr3MAn2W4VHN4Jz1rLes55CdIvqVYlYCP68iKYOQ4OWaGsO7g8qdi7FrYugMM7YNsiuHqe333rZUQvBDV/nm0WCz1y7mAmDzYTseVuq0gTosKIDAulZ7L3HKkOZl0+EjBhiK86oVeAWls7STERzqBoJx1tRvZ3TxlARFgIZw8zIZAPu4Uv3p9XSrek6KAL0NVgNsxx7a9732uVgAn9woddIn/KA9WFvDQPVr9jbPYB+L5kRC8ELVprtucWct24Xlx6bA+vdRJ8XCAzcUBHrhjTg0uObRlmkOS4SI8k2h1iI4gICyH7iPEiqrRrcgrKSE1seLz5Vk95MYSEQlgkbJkP394PoZGmLMZ7vtqAmG4OboOlL5r9ae9Bfy+hqn9fAnnV3x79hYzohaAlr6SCMpudTpZXijdSfJhUbR8bQXhoCA9OHcyATgn+bKLfCAlRdE2KJssS+k1787HZdbV5hzbF+5fBwx1h3t3w/aOmbOhFkDoYinKc1WZeNsK5H5AB/V63aKnJboHMepzg2t/4qdn2PS0ADRChF4KYfVbM9tQETzF3Xww1rHv16JLPXpzucewt/HBLZMeBIr5at5eKSrvT939UT9+yWQUdWsO278z+0hchxcqNe8bTENcRCl3JjU5zi+QZENPN/o2Agrt2edrmL/8U7twOYW4DkYve9P/zEaEXgpAyWyVaa2c8m05V0uV9cqMrfnqsl7jsU9O7suPR053H/72idaU6PlxUTihzTF0AACAASURBVHZeKZFhIXRNqvltJqj5/M9mG2J9v2tnQ6ehEBYBsSkeI3r3OYwQfwr9wW1waLsZraeNgagqOQPCIiC2A7Tr6SoLD8z3JUIvtHq01s5JyJz8Uvr/cx4vLMp0RnzsXEXs2sUaH/TazLFKKXY+dgY7Hzuj1UR8fOKCoQAcKalg1uLtlLXiXK4NpqIUFv8bVv/PHJ/0T9c5xyKluI7GnbGyekCxUH/Z6LWG50fAc8PhYCYMu7jmuufOrPmcn5DJWKFVs2hzDle9vgKAP004ipe+N54NT853LTPvUmVCMjzU/DFHB1kC6HYx5gdsxsLMZm5JM3EgE2aMdB2fPQNSBriOIyzPqtgUQBsPl/hUj1vU23RjKzcj86rkZnged0mvXsdBp6H1e2YDkBG90Kr563uuiS6HyLszrm9yNfdCh2dFVJAJvcPH/vO1NWX6DGL2b4RZEzzLhv7BU2C7WpOucVYYCDfzTW/LvbZeQr9lPjycYtngq/DicZ7HqbWsZQixZHjAmb4/u57IiF5oteQWlJFX4hmNsWN8JDef1Iezhnbhp8wDTBqYWu26eCsw2N8n92+SdjYVcX7IA9tqWfwElBeY/UHnwdnPuUbaN6+CJc/AcTeaY4etvNQVufSDG8aweteR+oVxXvGK2e5ZCalui+gqvUQIDaljUHH3noDZ50GEXmiF7DlSwgmPLXQe/+vcIRSX23j4q03cNLEPV4zpCcBZ1iKiqkSGhXr4oAcLjsiWbY6968xiqIFT4aK3qp9P7gNTX3AdO7xcbK7IpclxkV4HBbVSaCX3zstylZUVwBd/NfsT7obBF0B7HxbYRQbWs8un/xlKqcnAs5icsa9orR+rcn4CJin4DqvoE631g75cKwj15W8frfU4vuTYNCoq7cRFhnF2undxbwvERgaXKcpnvrgFUHDi33yrH27N2TQ2Fny5FRTP7c2A/54MBzab/dRB5kemBVCn0CulQoEXgElAFrBCKfW51rqqYepHrfWZDbxWEHzijg/XsiTzIJMGpjJlcCenTTU8NISL23jwLnfTzelDOjnDIgQlK1+HJc8aO3z2aug3GTr5GNMnzBL6ipLa69WF43r3dIAOkQeIqr5Go7nwZUQ/Gsi0En2jlHoPmAr4ItaNuVYQPLDbNV9YE41PnD/U6SYpGNy9iE4b1InJg5snZn5AKc2DHYvhS8s88oNlIBhyoe/3cAj98lnGzfLY6Q1rS75lstn8tUkgEuEWL2nsrdBzbMPuGwB8EfqugHsCzSzgWC/1xiil1gLZwB1a6w31uBal1HRgOkBaWtsemQnVKSmv5Oh75wFwzdheIvJecPcuciRLCToWPQrLXvIsSx1SP4+VuI4QEg67l5lPQ4Q+x819Mj8LfnVb0XrNAug+uv73DCC+TDF78zeqmoX4V6CH1noY8DzwaT2uNYVaz9Jaj9Jaj0pJaZ40bULLpNxmd0ahhADFIwkygtJev+Bel8hHxLsWQF32kcvu7gvh0RDZyBhANWWGUqHQeVjj7h0AfPnZzwK6ux13w4zanWit89325yqlXlRKJftyrSDUxZzVWXy7aT/nDe9Ku9gIbp3Ur+6L2jhB52q54F5jkwe47BPoOc7Eb986H+I71X6tN0oameijKNd7ua400TJbGL78b1gB9FVK9QL2ABcDHhH7lVKdgP1aa62UGo15UzgIHKnrWkGojWcWbOHZ77bSs0MMT100TGKr10FSTDhHiiu8xvBptZQVuET+bzsgxgrUltLfFaysqdmzqnme20DqNN1orW3AzcA3wCbgA631BqXUDUqpG6xqFwDrLRv9c8DF2uD12kB0RAhOZiwyy/lvP7W/iLwPHGNFq2xR4R0O/w45mxp+/ZPWG9zxt7hEvjnZtQx+fs68VTgYONVso1tA+7zg08++1nouMLdK2Uy3/RnADF+vFQRfKLfZCVWKa8f3qnHxk+DJf/6QzrIdB+nS3FEry4vg0z9BXKrxbgG4ah70GFO97pFdkDEXOvSBvqd4nlv7PlQUm/0T7whMW+12VxgCX/h9idmOuRl2/mj2h/4BNn5mfOdbIEH0ficEC4u35PK/pb/TMT6S8ko7o3q0zFFSSyQ2MoyTBtRzhae/WfMuLPoX5O32LN/5o3ehX/gIrHvP7A+/zLWK9fGeUHLY7P/99+phfv2FrRQiYupxgeVP0nu8q8gRy2bCXX5rlj8RoRdaFB+vyuL2D10rX9O7J3GKlR9VaCV8e78rPIA7R7ykylv6kkvkAVa/DRlfwfQfXCKffilEB3DxUUWx70J/aAd89yDEdzbeO7esNjHvk9Lg/rzAtbGRSPRKoUXx4ardJMdFkG5lfhrZo53Y5lsCZYVG5Gpj+X9h3QdmERLAOS+ZAGN/eBu6jqw+wgdTPyIerltozB9gBH6mZf8+8U4450X/9cMbjlAGvvCcFQ3TYZNv39uIfAtHhF5oESzfcYhr3ljB0u2HOHNoF64/sTcAx/Xu0Mwta2IO7YDffzYREOsjQIHkh3/Do12NyM2903sdux3m3gGfXAf2CrhuEaRfAhe+DkefBYndYfv3JuBXebFJzFFWYFwkjz7L/BBMfcE1wVlmjY7H/z0wfTr7eZMoHFxzAN4oL4JXJkHmt/DbR67yYdMC064AIaYboUlZvyePyLAQ4qLC0BrnpOFT8zezbIcZCR6VEsuUIZ356e8Tgz8VXv5e2LYQhl8K9kojlpnfmnORCXB7hufS+qakrMB4zCx62FW2fBac/u/qdQ9XGe13Ge55nGQtp1n1uvm44/CkCQ2Hcbe5JjgjE0xZIBhxhZkofvci88NTE9mrIWs5vH2+Z3ltiURaICL0QpPx6eo9/PV9V6KQEAV3nNaf/BIbm/aaNXd9OsZx0TFGFLq1q88EWSvljdNNXtEdP5hwu7lubohl+XBgS3XRbAq2LYL/neM67jICsn/1XrfSBt89YPYj4mHi3dXzNCZ0q/lZ7i6T7oHAGrt6tS7Crf9fFbW8OYV5WXE7uoGxcZoRMd0ITUJ+aYWHyAPYNTwxbzMzf9hGfqmN68f35tvbxhMZFiAfcHslbP3WmBlaAkUHjcgDrHvfJfKTHoILrdgp/zvPtLspKSvwFPkzn4Gr5sJJ/2eO3zwb9lvLYbSGWeONayHAbRtgzE3V75nY1fuzhlwIx97gOo5u59of72PY4YbimICdc0P1c1ob186dP1U/57DPtyJkRC80CVP+Y17H75oygJMGdOS3rDwP75ohXRO5dmzvwDZi81x4/zKY8A+YECDbb12UFRh3wvRLjEACXPsdfPBHE+72ojehuxX3b/AFsP4jKDpQLbdpQCjMMQLusEWHRsL1i6GjlXe132mw8CHz9vHS8XDhGyYn6/715vxVX9fsAplQg9APv9zTNNW+l5mY7TQ0cGYbBxFWso/8PdXPbV8Ec2oYuce3vqigIvRCwCmzVbLniIndfdlxPYiLDCPfLQVgclwEb149mvaBjkiZ8ZXZrn236YU+4yuzgKjnOMj40hWcKzwWOqfDjb8YM4F7ouk+pxihr8204E+e7Gu2MR2gx1i46ivP852GmKiPduu7+/BKuORDs3/1fEjzGpjWkFDDgjd3X3QHXUdWLwsE4bWYBj+4suZz7Xr6uyUBR4ReCDgbs439/aVLRziDbaV3T+KhqYM4bVAn2sdGEFafXJ0NoegArJ1t9g/vhJIjgfXNdufw7/CeFeIp40vPc/dYMf5CE6pf5zAtFB00bnxgJg4P7/D/Csx1H7r2iw+ahUveiO8MeW7+8PvWmW2HOjIpxXeCs541o+jt38Pg86Hj0Y1qcqOpbZK7rBaf+Lryv7ZAxEYv+A2tNU/N38yG7Dzu/Ww9Pe/6ip53fUVOgUnZ5j65GhYawuVjetIxISrwIg/wsjVyHHW12e5ZGfhnAqx9D54d6ll2/qtmm35p7deGW0L06imwwrrmh8eM2eTgNle9Slv1a30hew28dIJZpPTJtZ7nahpV959stg6f94UPG/GO9cENduSVMOQCmDoDjprYsKiT/qS2Eb07J94Jd2yFif80+60QGdELfmPL/kKeX5jJ8wszPcqv/98q4iPD6JHcTF40y152ZQMaPR1WvmZs5Q7Wf2JGyF/eahJGnHJ//Z9xcBv89yQoPQK3bzYiVrAP5lzvqnPMdSb93JALzKcu3FdrbvwMjrnGuPsB5G6GDkcZP+9/dYFTH4bj/+xbWysrYP7/ucxHn1mTp11HmR/AsChI7uv92lMfgdHXm1yo694HdMsINNYQagon/ONTnsddR5lkJeNbp8iDCL3gJ0rKKzlrhhcPBYtJA1NJiArw5FpN/PQfsz39SZfLniOhc8E++Ogq47Ndlm8CVo27vf6ufQ6RB3iqP/xjr4n54qAhy+PdR5w7fjAj91grHMTBrWa7dYHZbvzcd6HfMMcl8vGdoWCv2T/7ubpNQmERroTXyf2M+6c3F8TWQE0rrle+4XncHO6tfkZMN4JfmL18F+U2O8PTkugYH8kdp/bj1/+bREKUGUuM799MWcOWPAcF2ca7Y9Q1Lj/tksPGzXLz1+a4LN91zVc+Rkm0V5rl/nlZRuS7HeMyefzwuFkIldgd7vKy9N8XqtqQV70Omz43+5u/Nj9WH1smF18X8OxeblavAty0wizIcpBST5v5iZb7o24h7qr+ousIz+NA+/M3ATKiFxrNj1tzefDLjUSEhfDy5SPpGO8a4a27/zR2HCiiV3IzrO6stJkoitHtjE92SIgRz7BoKD4Ab59rJgarsu49OHdmzSO+/Rvh1VOhvMCz/OznoV0veCQVllhvEYMvgCgvE62+oKqMw+a6/QDt+gU+u9HlAVNZXvf98vbAq5NcxylWnPeT7wVbef1C9QIcfaYxR6UdV7/rWhJRSa43MQflhWYU36EP/PahCV7WypERvdAoisttrLBCFyy8fbyHyDtoFpEHyM0AWwlM+bcr8JRSEJtiPGG8ifzEe8x25Wtu99kCb50D+ZaHzPqPq4s8GC+S8CjzQ+Kg89Dq9XylfW84+T64rUrSjm7HmO2mL1zxWop9SI330zOu/XFuPxrjbjerWetLeDSc8aRv8w0tlX6nme3uFa6yskIzwXzOSyajVRAE1ROhFxrM+j15DLz3G55bmMnAzgktI2RBRSnMOAaeGwEzTzBlVV/F83a5TCDuTH0RjvuT2XdfRLPsJbOAZrOVP+fwTrMddbXLcybNLc76pZar4rF/guO8rBL1FaVM7Bd3H/QuI2DKE67jSuPRxLaFda/4XWuFAx58Pgy7uOHtCiZ2WklE3H/YywuNuSY0vPVONFdBTDdCg9h9qJgzn3dNvraYhN0fX2MmCB0kdjfeKTVx9vOQkwFLX4C+k8wfeGSiKSs+ZJbAO0Tgq9tNDJiML83CpzOfMV4v8Z3ghL+47tlrHNyzLzCv/PGdzA/XOTPhU2vpfkI341VUXljdTFRebAJ3te9l3kJOeQDG/tX/7WqtOBaouZu+9q+H2OTmaU+A8EnolVKTgWeBUOAVrfVjVc5fCjiWGhYCf9Jar7XO7QQKgErAprUe5Z+mC83Fsu0H+cOspR5lzZocRGtY9AhkrTQjb4A7MmHrfNereU0k9YChF8Po64wLHZjFMpu/gie+ql7fseDJkdYuItbYuKsSKLuuQ5DcXS8Hng1LX4QXRsOffvYcheZmmGiQjoiQcc2cfaql4TB9Od6MCnM8t0FCnaYbpVQo8AIwBRgITFNKDaxSbQcwXms9FHgImFXl/EStdbqIfOtnSeYBp8h3cAtZ0KzJQbJ/hcX/don8ubMgLsWE/vU2Mjv9Sdd+2nFmVNe+V+3PuOgtz+PeExrT4vpz2cdm23Os2bqvRO1m/VkV7K2ehLso1/O4rn62NRwjels5fHMPvHGGOfYWmK0V48uIfjSQqbXeDqCUeg+YCmx0VNBa/+xWfylQS0xSoTXz2Rpju379qmOY2L8juw4WExbajCJvr3RNMka3gwteN6sua6PfZJcHS02LZtyJiIMBZ8IZT5vAY82REKTPKXDXLlcgrtRBJsJlSCj0Gg/9psCWr6t7kGRbEUPH3AzHXCtCXxXHGoDKMvhlhqs8tpncgQOEL0LfFXB3BM4CaolexDXA127HGpivlNLAy1rrqqN9AJRS04HpAGlpLT81V1uk0q75at1ejuvdnon9jZkjrUMTT8CW5pm47d8/anJ17lllbNMxyXBnpm8eEo4/bl+XwE960AjqMdc0vN3+oGpkyEFuoYSnPG6EvuiAq2zVm/D9v8z+aY8Evn2tEccPfUWpZ3lkA11iWyi+CL23vxzttaJSEzFCP9at+AStdbZSqiOwQCmVobVeXO2G5gdgFsCoUaO83l8ILLe+v4bTh3Smc2IUd32yjrOGdmHO6j306RjHqYM68cS8DIrKK5kyuBnCtFaUwGunwd613s9PX+S7G1y4JfQDzvB+/sQ7TbjezXNNmrvmFnhfSOxm3Dpz3RZAbZhjtv2mNE+bWgMhlgRWfUsLgkVS7vgi9FlAd7fjbkB21UpKqaHAK8AUrfVBR7nWOtva5iil5mBMQdWEXmheXvlxO3NW72HOapdb4fo9ZrVoxr4Cvly311l+8eju1a4PGNsWwry7PQUM4Mal8M6FJuH0ndt9C6rlIDLerApt18P7+ZP+abZ5e1qPe11IKKQONDFxJj9qJqhzNhmRP/+V5m5dy0VbY8ryQs/yhi5ya6H4IvQrgL5KqV7AHuBi4BL3CkqpNOAT4HKt9Ra38lggRGtdYO2fCjzor8YL/mF/fikPf7XJ67n+qfGcOijVGajs0fOGBC4DVFUqSuGT66HI8oCY+oIx3QybZgT4ltUmQFdEA8xHKT64g9aUFamlEt3emLJKjsDuZVC4z6xejYxr7pa1fKrmvG1rI3qttU0pdTPwDca98jWt9Qal1A3W+ZnAvUAH4EXL+8LhRpkKzLHKwoB3tdbzAtIToUEUltk44bGFhIcq3rxqNPM37icyPIRz0ruyeEsuV4zpSXREKBeO7M6eIyWMOaoeI+eGUppvEmRv+86I/BlPwYg/Vs84FBoe+CxErYnB50PmAmOn//JWU+YIJyzUjzZoo0drPReYW6Vsptv+tcC1Xq7bDgxrZBuFAPLA5xuw2TWXHpvG8X2SOb6Pyx3x6M6u/+xpHWKaZuJ1/cfw0dWu4+GXGW8RoW4cniKf3eha2Ss/hHVQw3RgK0wuUhuyMrYNs2Djfj5clUV8ZBj3n+3njEXeWPIcrP6fiQVfsBfSjjehdfueauKsL33RFWZg1DXG5W3iPwPfrmAhxkqsvXtZ87ajNRHXzMlPmggR+jaG1pqJT37PzoPFALSPjWDp3ScT7s8sT5U2WD7LmA0ck6SfXG+iQrqz62fz6X+6SdxxYLMpP/M/MOoq/7WnrRDTBGa1YOOMJ6v/vxx1tfe6rRgR+jbGzoPFTpEHePicwUSE+UHk7ZUmzsyWb6DCuv83VkTEE/9m/piS+8EVnxkTw47F8PZ55rxjFK9CYNC5kH5J9fsLdRPdSjyEWhJVJ12vXQjdmig5eRMiQt8GOFRUzqWvLGPTXldyjXPSu3DRMd05/ig/BG8qOgAfXumKp1KVxVa0xQvfdEVi7DrSiLrD13vklTD5saCI/d1suIvW5MclQmVDCG+l2bLqQIQ+CNFa88OWXP787moKymx0axdN1uES5/mp6V145g/p1ePTrH3fxE3pcJTxL/a2AKmywvi0L3rUBA2zVxg7Z+E+s+L0yq9MhMWErvDdg/DT0+a6kVcZP28H0Ulw4RvGRl9pg7TaFlsLPuH+fSWlmX9joX6EBKckBmev2jiXvbqMJZnONWtkHS6hd0os3902nvwSG4kxXjwxyotgznSz366XSY933UJIGeAK/AQmRd7if3teW7jPxFKZeI+nT/sp95lP3p6afdK7Bt9rcosgul1zt6B1EqRCL4lHgow1u484RX76ib2JCjdf8Yl9U1BKeRf5VW/Cv9ySWxzeYUbq71wAzwyC+xPhk+nGM8Yh8qc+DHdnua45+d6aFy61toVHrRmHnV6E3neudPMcDzK3SgfB+fPVBqmotLPzQBHrskz0wi//PJbBXROZmt6FV37cwZ2n9fd+4cbP4YtbzP6gc6HrKBP2N/M7KNzvqrfuffMBY0t3ZGI65lrzNuBLFEgh8Ay9CJbNbD2hG1oCHd2SogfpiD44e9XGKK2oZOgD8ym3mVRyIQoGdDITc4O6JPLMH9K9X1hpg5+fN/t37faM75G9Gj6+1sRdP+V+kzN1z0pzbvR0V70znvJnV4TGctq/zPcT14yJYFobYW4TsCL0Qkvl9Od+dIo8wIn9UgirzS9+6wITonfNO5C1HM6eUT2IU5fh8OdVruMLXze29h5jEFowIaG1p04UquP+NhoSnCuJReibmYpKOxuz8+mUGMWW/QWccFQyP2zNZUzvDkSF120vXJixn+25RYSGKJ68cCi3vr+WW0/pZ0brIaHGE0Nrk32pvNgI+DsXuG4Q08E3N7ykNPMRhGDD3S4vNnrB35TZKpn1w3aeWrCl2rmrTujJX07uy+drs5ma3pXEaDPSqLRrrn5jBSf06cAVY3py9RvGnPLB9ccxIq0dE/p1pN38v8Dad103i0w0eVCrkpRmJqIkHoogGMR0I/gTu13zl9lrmLdhn9fzX67by8HCcj5fm829n20AYHSv9nRvF8MPW3L5YUsu23NNsoTu7aMZ2cNMvrWz5XiKPLhEvn1vOLQdErrBTcskfK0gVEWEXvAHW/YXcOoznnlX7j1zIFed0BOlFDkFpZz7ws/sOVLC52s987ss33GI5TsOOY/fW2EyPM77y4mmwG433jIA4+4wmZJ+eR4WPgw3/ASdhgSuY4LQmkm/DNa8HbRvt+JH34T8d/H2aiJ/44SjuHpsL+cq1Y7xUew5UuJRJyxEcfPEPs7jmyf24R+nDwAgrX0MsZFh8ONT8GA7+PKvJmbMhLvMcu5xd8A/9orIC0JtnP0c/H2n2OiFxqG1ZvaKXY4jMh6aQtn+rSQsewru/8AUj54O3Ubz7eAl3L2hO6PHn86dJ6ZCTHvsds2MRSbL08AuCfSwYsOfcnQqvHg85Gywbm2HYZe4RiZKNSwDkyC0JUJCg3qRmdK65eXhHjVqlF65cmVzN6PBaK2pqNQeUSG/27Sfm9/8iQUdn6Nb/pq6b5LcH46dDl/dbo6HTcPeaRilw68mJsq4g63ddYjBy+4gdMPHps5NK0yUyONvkTgngtDGUEqtsjL7VT8nQl8/Xl+ygwe+2MjTFw3jvBHdPM7NXr6LF7/PZPchY3pZe9+p3PfZek4+OpVfth/kmF//zrmhS6rf9I9fQnxnY345tK32xBGnPGD84NMvMXFoXjnJlP/pZ0htguQhgiC0SGoTep9MN0qpycCzmJyxr2itH6tyXlnnTweKgSu11r/6cm1rYdHmHFbtPOw0n9z2wVqyDpdw9dhexEWGYau0859vt7A/vwzQxFLK4i25fLomm0/XZNNT7eXeiOXG8+WW1eamO36Ebse4QqOe+5LZ3p9Yc0O+vc9sf/8Jeo03+7dulHgygiDUSJ2TsUqpUOAFYAowEJimlBpYpdoUoK/1mQ68VI9r/UZJeSW2SjtT/vkKxz30NbZKe90X+cBz323lqtdXOEX+pmGhxFHM0wu2cNM7v7I/v5Q9R0rIyS/hhckJbG1/G79E3sz/zV7Mi+H/4byQxdwU+hlRqgIuest1417jvMe/PscS/KQecNsmuD/PfIZeDLEdjWkGYMcPEJfqivEuCILgBV9G9KOBTCvRN0qp94CpwEa3OlOBt7SxAy1VSiUppToDPX241i8UldlY8OTldCjdxddh66ESPli1jjPTu6JQvPXLTq46oVe9synZ7Zq1u484j88O+Zk7N8/gzij4wDaex7ZM48pHV7JJ9+Cd8Ec54XszKRqu4MLQHzg9dDmnhy533TB1cN0PTb/Ee5al81527Sf3hc//bCaQvMWNFwRBsPBF6LsCu92Os4CqWSK81enq47V+IUyXMTbkN5JDXY8r/vwOZn8eyg7diYfDX+eL8o85a9IpPt9z18FiznlxCaool7mxz1IU3YljCr93nr8o7AcuCvsBgFvKb+aEUMvz5ZT7YdnL3FNQZeFS+qX+E+U+k8x2pORWFQShdnwRem/KVHUGt6Y6vlxrbqDUdIzZh7S0+sdUiYyKJfLu9RSWlBL3eCoAV4bN96jTbufXgO9C/8m8+fy17G1OjvyVrpUHoTDDnDj/VSPYH7mSCD8XMcPsnPuyiR3TewLMmuA8n9HzcgacM6Pe/aqRhM5wzz7PyHuCIAhe8MWOkQV0dzvuBmT7WMeXawHQWs/SWo/SWo9KSUnxoVneiYuOMrZsL9gObPP5PkUlZYzc/DRXhC2gqzroebLPyTDoPDjrOWNHd6fbMWbbZTjcn0dOWGcAKqIDEDY2PFrMNoIg1IkvI/oVQF+lVC9gD3AxUNWA/Dlws2WDPxbI01rvVUrl+nCt/znvZVaU9+CYjMedRes7n8+EvR+z/qcvGDz2rFovzy8pZ+t/zmZcyFrKQuOIPHoyDL8UDu0wK0wdCytG/tF8Kkph20LoPBQSPV0uYxOT4eBeUrv19HcvBUEQfKJOodda25RSNwPfYFwkX9Nab1BK3WCdnwnMxbhWZmLcK6+q7dqA9KQKA0ZPojTzJaJs+RQOvpSOI26Atz4mf91XUIvQ7z+cz8H/jGOk2glA5bULobOVnammMN/hUTDgdK+nYvtPhJ9/o2O7WlwmBUEQAohPfvRa67kYMXcvm+m2r4GbfL22KYjvfQz8czccyCSuw1HEKUWuao8qPVLrdVsWvc04S+Q/t4/l7M41pODzlZP+Ce16woAzG3cfQRCEBhL8Qc2S+zjt2Hmh7anM38fevBLvdUuOMDTjOQDmJf6BE29/p/HPD4uEY64J2mBJgiC0fIJfGw+1VgAABe1JREFU6N0oCu/AWFbzr2eeNgUfXQPvXWrC+1ZWwOM9SCzfC8DkW2eRlCjxYgRBaP20KaEvDE8G4HmegIoSWP8RZHwJOxejZ7hCRKy092uuJgqCIPidNiX0ieNvdB080sm5WznvHtThnQDcW/FHwq79polbJgiCEDjalNAPHjnWa3leSQXlOpSZtjMJOfZ60tPaN3HLBEEQAkebEnqA+cd7TrB+XXkM7Qs2E6Eq+b3HBdx/toT6FQQhuGhzQp9+3CncqO/im8pR9C59mzcrT3Oe69ZH0u0JghB8tLlUgh0Tophx312U2u4kMyyUc15sBwfMubOHSbhfQRCCjzYn9AAhIYqYCNP1o1LimLTnCRSa+e0lt6ogCMFHmxR6d45KiWWO7lZ3RUEQhFZKm7PRV+WK43tydOcEZl42srmbIgiCEBDa/Ig+ISqcr/8yrrmbIQiCEDDa/IheEAQh2BGhFwRBCHJE6AVBEIIcEXpBEIQgR4ReEAQhyBGhFwRBCHJE6AVBEIIcEXpBEIQgR5m83i0LpVQu8HsAbp2MM4RZm6Ot9r2t9hvabt/bar97aK1TvJ1okUIfKJRSK7XWo+quGXy01b631X5D2+17W+13bYjpRhAEIcgRoRcEQQhy2prQz2ruBjQjbbXvbbXf0Hb73lb7XSNtykYvCILQFmlrI3pBEIQ2R6sWeqVUd6XUIqXUJqXUBqXUX6zy9kqpBUqprda2nVXewapfqJSaUeVeEUqpWUqpLUqpDKXU+c3RJ1/xV9+VUvFKqTVunwNKqf80V7/qws/f+TSl1G9KqXVKqXlKqeTm6JOv+Lnvf7D6vUEp9URz9MdXGtDvSUqpVdZ3u0opdZLbvUZa5ZlKqeeUUqq5+tWkaK1b7QfoDIyw9uOBLcBA4AngLqv8LuBxaz8WGAvcAMyocq8HgIet/RAgubn711R9r3LfVcCJzd2/QPcbk3Qnx/E9W9ff39z9a6K+dwB2ASnW8ZvAyc3dPz/2ezjQxdofDOxxu9dyYAyggK+BKc3dv6b4tOoRvdZ6r9b6V2u/ANgEdAWmYv7zYm3PseoUaa1/Akq93O5q4FGrnl1r3aIXXPi57wAopfoCHYEfA9j0RuHHfivrE2uN6hKA7MD3oOH4se+9gS1a61zr+Fugxb7BNqDfq7XWju9yAxCllIpUSnUGErTWv2ij+m85rgl2WrXQu6OU6on5JV8GpGqt94L5T4IRr9quTbJ2H1JK/aqU+lAplRrA5vqVxvS9CtOA960/ghZPY/qtta4A/gT8hhH4gcCrAWyuX2nkd54JDFBK9VRKhWHErnvgWus/GtDv84HVWusyzI9Dltu5LKss6AkKoVdKxQEfA3/VWuc34BZhQDdgidZ6BPAL8KQfmxgw/NB3dy4GZje+VYGnsf1WSoVjhH440AVYB9zt10YGiMb2XWt9GNP39zFvbzsBmz/bGAjq22+l1CDgceB6R5GXaq1iUNNYWr3QW3+wHwPvaK0/sYr3W69pWNucOm5zECgG5ljHHwIjAtBcv+KnvjvuNQwI01qvCkhj/Yif+p0OoLXeZr3BfAAcH6Am+w1/feda6y+01sdqrccAm4GtgWqzP6hvv5VS3TB/z1dorbdZxVmYAZ2DbrRwc52/aNVCb9lWXwU2aa2fdjv1OfBHa/+PwGe13cf6Q/8CmGAVnQxs9Gtj/Yy/+u7GNFrBaN6P/d4DDFRKOYJATcLYflss/vzOlVIdrW074EbgFf+21n/Ut9+WKfYr4G6t9RJHZcu8U6CUOs665xX4/vfRumnu2eDGfDAeBRrz2r3G+pyO8Sr4DjNK+Q5o73bNTuAQUIj5hR9olfcAFlv3+g5Ia+7+NVXfrXPbgQHN3a8m/s5vwIj7OswPfYfm7l8T9n02ZjCzEbi4ufvmz34D/wSK3OquATpa50YB64FtwAysRaPB/pGVsYIgCEFOqzbdCIIgCHUjQi8IghDkiNALgiAEOSL0giAIQY4IvSAIQpAjQi8IghDkiNALgiAEOSL0giAIQc7/A8pa5kPpKno4AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(core_cumulative_returns)\n", + "plt.plot(Sp500_cumulative_returns)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.013021605893950699\n", + "0.0008521218194888947\n", + "SP500 0.01216\n", + "dtype: float64\n", + "SP500 0.000471\n", + "dtype: float64\n" + ] + } + ], + "source": [ + "#calculate Std Dev of Portfolio\n", + "\n", + "print(core_portfolio_returns.std())\n", + "print(core_portfolio_returns.mean())\n", + "\n", + "print(SP500_daily_returns.std())\n", + "print(SP500_daily_returns.mean())" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.0388130801041227" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sharpe_ratios = (core_portfolio_returns.mean() * 252) / (core_portfolio_returns.std() * np.sqrt(252))\n", + "sharpe_ratios" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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2015-11-192081.23999036.10859713.07000030.45826377.87000327.049994120.22000180.63999999.63106.2653.94162.83359.0976.38110.63103.37
2015-11-202089.16992236.40472812.85000030.72252579.94999726.957846123.83999680.989998100.49107.3254.19163.10362.4676.37112.97104.62
2015-11-232086.59008836.21963912.12000030.26252481.30999826.245783125.02999980.77999999.94106.9554.19163.45363.2576.15112.16105.47
2015-11-242089.13989336.51577012.02000030.50720680.86000126.781923123.30999880.38999999.26105.7454.25162.19356.8175.62113.19105.49
2015-11-252088.87011736.33070011.90000030.46805481.70999927.535873124.16000480.41000499.09105.4153.69162.39360.6276.01114.41106.46
...................................................
2020-09-253298.45996159.799999157.720001514.950012271.08999636.049999482.880005242.740005239.81254.82207.82342.58547.81125.22302.50120.25
2020-09-283351.60009859.580002160.759995521.400024276.01001036.389999490.649994246.669998240.00256.82209.44349.62558.65128.55303.23121.74
2020-09-293335.46997159.470001164.809998529.030029276.92999336.169998493.480011247.449997240.12261.79207.26352.14554.80127.49304.15120.33
2020-09-303363.00000059.700001162.550003541.219971293.98001136.700001500.029999251.320007241.73261.90210.33355.00563.55128.22311.77122.08
2020-10-013380.80004959.680000168.490005544.580017290.04998836.369999527.510010253.449997242.15266.63212.46358.46567.91128.04313.07121.78
\n", + "

1225 rows × 16 columns

\n", + "
" + ], + "text/plain": [ + " SP500 ORCL SQ NVDA BABA \\\n", + "2015-11-19 2081.239990 36.108597 13.070000 30.458263 77.870003 \n", + "2015-11-20 2089.169922 36.404728 12.850000 30.722525 79.949997 \n", + "2015-11-23 2086.590088 36.219639 12.120000 30.262524 81.309998 \n", + "2015-11-24 2089.139893 36.515770 12.020000 30.507206 80.860001 \n", + "2015-11-25 2088.870117 36.330700 11.900000 30.468054 81.709999 \n", + "... ... ... ... ... ... \n", + "2020-09-25 3298.459961 59.799999 157.720001 514.950012 271.089996 \n", + "2020-09-28 3351.600098 59.580002 160.759995 521.400024 276.010010 \n", + "2020-09-29 3335.469971 59.470001 164.809998 529.030029 276.929993 \n", + "2020-09-30 3363.000000 59.700001 162.550003 541.219971 293.980011 \n", + "2020-10-01 3380.800049 59.680000 168.490005 544.580017 290.049988 \n", + "\n", + " PFE NFLX CRM AMT FB MSFT COST \\\n", + "2015-11-19 27.049994 120.220001 80.639999 99.63 106.26 53.94 162.83 \n", + "2015-11-20 26.957846 123.839996 80.989998 100.49 107.32 54.19 163.10 \n", + "2015-11-23 26.245783 125.029999 80.779999 99.94 106.95 54.19 163.45 \n", + "2015-11-24 26.781923 123.309998 80.389999 99.26 105.74 54.25 162.19 \n", + "2015-11-25 27.535873 124.160004 80.410004 99.09 105.41 53.69 162.39 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-25 36.049999 482.880005 242.740005 239.81 254.82 207.82 342.58 \n", + "2020-09-28 36.389999 490.649994 246.669998 240.00 256.82 209.44 349.62 \n", + "2020-09-29 36.169998 493.480011 247.449997 240.12 261.79 207.26 352.14 \n", + "2020-09-30 36.700001 500.029999 251.320007 241.73 261.90 210.33 355.00 \n", + "2020-10-01 36.369999 527.510010 253.449997 242.15 266.63 212.46 358.46 \n", + "\n", + " BLK TROW UNH PPG \n", + "2015-11-19 359.09 76.38 110.63 103.37 \n", + "2015-11-20 362.46 76.37 112.97 104.62 \n", + "2015-11-23 363.25 76.15 112.16 105.47 \n", + "2015-11-24 356.81 75.62 113.19 105.49 \n", + "2015-11-25 360.62 76.01 114.41 106.46 \n", + "... ... ... ... ... \n", + "2020-09-25 547.81 125.22 302.50 120.25 \n", + "2020-09-28 558.65 128.55 303.23 121.74 \n", + "2020-09-29 554.80 127.49 304.15 120.33 \n", + "2020-09-30 563.55 128.22 311.77 122.08 \n", + "2020-10-01 567.91 128.04 313.07 121.78 \n", + "\n", + "[1225 rows x 16 columns]" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "portfolio_5yrs = combined_portfolio_df.drop(columns=['MCD', 'VZ', 'JNJ', 'CLX', 'WMT', 'NEE', 'GD', 'MMM', 'ACN', 'UPS', 'HD', 'SBUX', 'PSX'])\n", + "portfolio_5yrs" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "portfolio_5yrs_daily = portfolio_5yrs.pct_change()\n", + "portfolio_5yrs_1 = (1 + portfolio_5yrs_daily).cumprod() - 1\n", + "portfolio_5yrs_1.plot(figsize=(30,10), title='Cumulative Returns of Each Stock in our Portfolio');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Predict the Direction of the Portfolio compared to the S&P500 Using Monte Carlo Simulation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Monte Carlo Simulation of the Portfolio" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "# Load .env enviroment variables\n", + "from dotenv import load_dotenv\n", + "load_dotenv()\n", + "\n", + "# Set Alpaca API key and secret\n", + "alpaca_api_key = os.getenv(\"ALPACA_API_KEY\")\n", + "alpaca_secret_key = os.getenv(\"ALPACA_SECRET_KEY\")\n", + "\n", + "api = tradeapi.REST(\n", + " alpaca_api_key,\n", + " alpaca_secret_key,\n", + " api_version = \"v2\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "# Set timeframe to '1D'\n", + "timeframe = \"1D\"\n", + "\n", + "# Set start and end datetimes between now and 3 years ago.\n", + "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n", + "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n", + "\n", + "# Set the ticker information\n", + "tickers = ['SPY','AMT','ORCL','PPG','COST','MSFT','UNH','TROW','BLK','NVDA','FB','BABA','CRM','PFE','NFLX','SQ']\n", + "\n", + "# Get 5 years of past data of portfolios\n", + "df_ticker = api.get_barset(\n", + " tickers,\n", + " timeframe,\n", + " start=start_date,\n", + " end=end_date\n", + ").df\n", + "\n", + "df_ticker.index = df_ticker.index.date\n", + "df_ticker.head()\n", + "df_ticker.to_csv('df_ticker.csv') " + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n", + "MC_fiveyear = MCSimulation(\n", + " portfolio_data = df_ticker,\n", + " weights = [0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.40,0.04,0.04,0.04],\n", + " num_simulation = 500,\n", + " num_trading_days = 252*5\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " AMT BABA \\\n", + " open high low close volume daily_return open \n", + "2015-11-19 99.87 100.26 99.22 99.62 1223026.0 NaN 78.06 \n", + "2015-11-20 100.20 100.87 99.53 100.47 1023837.0 0.008532 78.44 \n", + "2015-11-23 100.49 100.67 99.45 99.93 755145.0 -0.005375 80.45 \n", + "2015-11-24 99.28 99.45 98.32 99.27 1054663.0 -0.006605 80.85 \n", + "2015-11-25 99.15 99.60 98.90 99.07 622603.0 -0.002015 80.91 \n", + "\n", + " ... TROW \\\n", + " high low close ... low close volume daily_return \n", + "2015-11-19 79.150 77.403 77.910 ... 76.0100 76.38 521700 NaN \n", + "2015-11-20 80.785 78.400 79.965 ... 75.9100 76.38 671459 0.000000 \n", + "2015-11-23 82.190 79.970 81.310 ... 76.0200 76.15 425575 -0.003011 \n", + "2015-11-24 81.110 79.270 80.790 ... 74.9701 75.63 593463 -0.006829 \n", + "2015-11-25 82.675 80.820 81.630 ... 75.3400 76.01 631376 0.005024 \n", + "\n", + " UNH \n", + " open high low close volume daily_return \n", + "2015-11-19 109.74 113.71 109.61 110.61 13240076.0 NaN \n", + "2015-11-20 111.01 114.44 110.60 113.00 5609101.0 0.021607 \n", + "2015-11-23 112.97 114.49 112.10 112.15 3006888.0 -0.007522 \n", + "2015-11-24 111.70 113.45 111.06 113.23 2363542.0 0.009630 \n", + "2015-11-25 113.47 115.05 113.00 114.42 2408146.0 0.010510 \n", + "\n", + "[5 rows x 96 columns]" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Printing the simulation input data\n", + "MC_fiveyear.portfolio_data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running Monte Carlo simulation number 0.\n", + "Running Monte Carlo simulation number 10.\n", + "Running Monte Carlo simulation number 20.\n", + "Running Monte Carlo simulation number 30.\n", + "Running Monte Carlo simulation number 40.\n", + "Running Monte Carlo simulation number 50.\n", + "Running Monte Carlo simulation number 60.\n", + "Running Monte Carlo simulation number 70.\n", + "Running Monte Carlo simulation number 80.\n", + "Running Monte Carlo simulation number 90.\n", + "Running Monte Carlo simulation number 100.\n", + "Running Monte Carlo simulation number 110.\n", + "Running Monte Carlo simulation number 120.\n", + "Running Monte Carlo simulation number 130.\n", + "Running Monte Carlo simulation number 140.\n", + "Running Monte Carlo simulation number 150.\n", + "Running Monte Carlo simulation number 160.\n", + "Running Monte Carlo simulation number 170.\n", + "Running Monte Carlo simulation number 180.\n", + "Running Monte Carlo simulation number 190.\n", + "Running Monte Carlo simulation number 200.\n", + "Running Monte Carlo simulation number 210.\n", + "Running Monte Carlo simulation number 220.\n", + "Running Monte Carlo simulation number 230.\n", + "Running Monte Carlo simulation number 240.\n", + "Running Monte Carlo simulation number 250.\n", + "Running Monte Carlo simulation number 260.\n", + "Running Monte Carlo simulation number 270.\n", + "Running Monte Carlo simulation number 280.\n", + "Running Monte Carlo simulation number 290.\n", + "Running Monte Carlo simulation number 300.\n", + "Running Monte Carlo simulation number 310.\n", + "Running Monte Carlo simulation number 320.\n", + "Running Monte Carlo simulation number 330.\n", + "Running Monte Carlo simulation number 340.\n", + "Running Monte Carlo simulation number 350.\n", + "Running Monte Carlo simulation number 360.\n", + "Running Monte Carlo simulation number 370.\n", + "Running Monte Carlo simulation number 380.\n", + "Running Monte Carlo simulation number 390.\n", + "Running Monte Carlo simulation number 400.\n", + "Running Monte Carlo simulation number 410.\n", + "Running Monte Carlo simulation number 420.\n", + "Running Monte Carlo simulation number 430.\n", + "Running Monte Carlo simulation number 440.\n", + "Running Monte Carlo simulation number 450.\n", + "Running Monte Carlo simulation number 460.\n", + "Running Monte Carlo simulation number 470.\n", + "Running Monte Carlo simulation number 480.\n", + "Running Monte Carlo simulation number 490.\n" + ] + }, + { + "data": { + "text/html": [ + "
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1.009362 1.006961 \n", + "... ... ... ... ... ... ... ... \n", + "1256 1.826912 2.237883 2.767765 3.514696 2.809148 2.941521 2.422336 \n", + "1257 1.819020 2.245103 2.786420 3.526299 2.812569 2.947462 2.421209 \n", + "1258 1.791609 2.261302 2.782278 3.539779 2.814054 2.964892 2.422563 \n", + "1259 1.801300 2.280655 2.779005 3.584346 2.814123 2.979713 2.419751 \n", + "1260 1.813642 2.286542 2.786899 3.544287 2.820473 3.005625 2.424375 \n", + "\n", + "[1261 rows x 500 columns]" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Running a Monte Carlo simulation to forecast five years cumulative returns\n", + "MC_fiveyear.calc_cumulative_return()" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot simulation outcomes\n", + "line_plot = MC_fiveyear.plot_simulation()\n", + "\n", + "# Save the plot for future usage\n", + "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_simulation2.png\", bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot probability distribution and confidence intervals\n", + "dist_plot = MC_fiveyear.plot_distribution()\n", + "\n", + "# Save the plot for future usage\n", + "dist_plot.get_figure().savefig('MonteCarlo_5yrs_distribution2.png',bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "count 500.000000\n", + "mean 2.895847\n", + "std 0.589691\n", + "min 1.559500\n", + "25% 2.454324\n", + "50% 2.821701\n", + "75% 3.213398\n", + "max 5.025064\n", + "95% CI Lower 1.962128\n", + "95% CI Upper 4.251050\n", + "Name: 1260, dtype: float64\n" + ] + } + ], + "source": [ + "# Fetch summary statistics from the Monte Carlo simulation results\n", + "summary = MC_fiveyear.summarize_cumulative_return()\n", + "\n", + "# Print summary statistics\n", + "print(summary)" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $19621.28 and $42510.5\n" + ] + } + ], + "source": [ + "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n", + "ci_lower = round(summary[8]*10000,2)\n", + "ci_upper = round(summary[9]*10000,2)\n", + "\n", + "# Print results\n", + "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n", + " f\" over the next 5 years will end within in the range of\"\n", + " f\" ${ci_lower} and ${ci_upper}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## MC Simulation for SP500" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "# Set timeframe to '1D'\n", + "timeframe = \"1D\"\n", + "\n", + "# Set start and end datetimes between now and 3 years ago.\n", + "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n", + "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n", + "\n", + "# Set the ticker information\n", + "tickers_1 = ['SPY']\n", + "\n", + "# Get 5 years of past data of portfolios\n", + "df_ticker_1 = api.get_barset(\n", + " tickers_1,\n", + " timeframe,\n", + " start=start_date,\n", + " end=end_date\n", + ").df" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n", + "MC_fiveyear_SP500 = MCSimulation(\n", + " portfolio_data = df_ticker_1,\n", + " weights = [1],\n", + " num_simulation = 500,\n", + " num_trading_days = 252*5\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running Monte Carlo simulation number 0.\n", + "Running Monte Carlo simulation number 10.\n", + "Running Monte Carlo simulation number 20.\n", + "Running Monte Carlo simulation number 30.\n", + "Running Monte Carlo simulation number 40.\n", + "Running Monte Carlo simulation number 50.\n", + "Running Monte Carlo simulation number 60.\n", + "Running Monte Carlo simulation number 70.\n", + "Running Monte Carlo simulation number 80.\n", + "Running Monte Carlo simulation number 90.\n", + "Running Monte Carlo simulation number 100.\n", + "Running Monte Carlo simulation number 110.\n", + "Running Monte Carlo simulation number 120.\n", + "Running Monte Carlo simulation number 130.\n", + "Running Monte Carlo simulation number 140.\n", + "Running Monte Carlo simulation number 150.\n", + "Running Monte Carlo simulation number 160.\n", + 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "line_plot = MC_fiveyear_SP500.plot_simulation()\n", + "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_simulation.png\", bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "dist_plot = MC_fiveyear_SP500.plot_distribution()\n", + "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_dist.png\", bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "count 500.000000\n", + "mean 2.895847\n", + "std 0.589691\n", + "min 1.559500\n", + "25% 2.454324\n", + "50% 2.821701\n", + "75% 3.213398\n", + "max 5.025064\n", + "95% CI Lower 1.962128\n", + "95% CI Upper 4.251050\n", + "Name: 1260, dtype: float64\n" + ] + } + ], + "source": [ + "# Fetch summary statistics from the Monte Carlo simulation results\n", + "summary = MC_fiveyear.summarize_cumulative_return()\n", + "\n", + "# Print summary statistics\n", + "print(summary)" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $19621.28 and $42510.5\n" + ] + } + ], + "source": [ + "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n", + "ci_lower = round(summary[8]*10000,2)\n", + "ci_upper = round(summary[9]*10000,2)\n", + "\n", + "# Print results\n", + "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n", + " f\" over the next 5 years will end within in the range of\"\n", + " f\" ${ci_lower} and ${ci_upper}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# Create Plots\n", + "def get_daily_sp500_plot():\n", + " SP500_daily_returns_1= SP500_daily_returns.plot(title='S&P 500 Daily Returns', figsize=(20,10))\n", + " return SP500_daily_returns_1\n", + "\n", + "def get_daily_core_plot():\n", + " core_portfolio_returns_1= core_portfolio_returns.plot(title='Portfolio Daily Returns', figsize=(20,10))\n", + " return core_portfolio_returns_1\n", + "\n", + "def get_cumulative_sp500_plot():\n", + " sp500_cumulative_returns_1= Sp500_cumulative_returns.plot(title='S&P 500 Cumulative Returns', figsize=(20,10))\n", + " return sp500_cumulative_returns_1\n", + "\n", + "def get_cumulative_portfolio_plot():\n", + " core_cumulative_returns_1= core_cumulative_returns.plot(title='Portfolio Cumulative Returns', figsize=(20,10))\n", + " return core_cumulative_returns\n", + "\n", + "def get_cumulative_joint_plot():\n", + " portfolio_5yrs_2= portfolio_5yrs_1.plot(title='Securities Cumulative Returns', figsize=(20,10))\n", + " return portfolio_5yrs_2" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'SP500_daily_returns' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Create panels to structure the layout of the dashboard\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mdaily_column\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mColumn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Daily Returns\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mget_daily_sp500_plot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mget_daily_core_plot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m cumulative_column = pn.Column(\n", + "\u001b[1;32m\u001b[0m in \u001b[0;36mget_daily_sp500_plot\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Create Plots\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mget_daily_sp500_plot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mSP500_daily_returns_1\u001b[0m\u001b[1;33m=\u001b[0m \u001b[0mSP500_daily_returns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtitle\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'S&P 500 Daily Returns'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mSP500_daily_returns_1\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mNameError\u001b[0m: name 'SP500_daily_returns' is not defined" + ] + } + ], + "source": [ + "# Create panels to structure the layout of the dashboard\n", + "daily_column = pn.Column(\"Daily Returns\", get_daily_sp500_plot(), get_daily_core_plot())\n", + "\n", + "\n", + "cumulative_column = pn.Column(\n", + " \"Cumulative Returns\", get_cumulative_sp500_plot(),)\n", + "\n", + "joint_column = pn.Column(\n", + " \"Joint Returns\", get_cumulative_joint_plot())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Final_project_notebook/Final_Notebook.ipynb b/Final_project_notebook/Final_Notebook.ipynb new file mode 100644 index 0000000..9278221 --- /dev/null +++ b/Final_project_notebook/Final_Notebook.ipynb @@ -0,0 +1,10124 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# Import necessary libraries and dependencies\n", + "\n", + "import os\n", + "import pandas as pd\n", + "from pathlib import Path\n", + "import seaborn as sns\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import alpaca_trade_api as tradeapi\n", + "from MCForecastTools import MCSimulation\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Clean The Data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "#Set the file paths for the CSVs\n", + "\n", + "eve_data = Path(\"../CSVs/ORCL-SQ-NVDA.csv\")\n", + "\n", + "eren_data = Path(\"../CSVs/BABA-PFE-NFLX-CRM-GD.csv\")\n", + "\n", + "phil_data = Path(\"../CSVs/Phil_Stocks.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Read the data\n", + "\n", + "eve_df = pd.read_csv(eve_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n", + "\n", + "eren_df = pd.read_csv(eren_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n", + "\n", + "phil_df = pd.read_csv(phil_data, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " ORCL SQ NVDA BABA PFE NFLX CRM \\\n", + "Date \n", + "2015-10-02 NaN NaN NaN NaN NaN NaN NaN \n", + "2015-10-05 NaN NaN NaN 63.930000 27.822315 111.250000 75.269997 \n", + "2015-10-06 NaN NaN NaN 63.919998 27.248917 108.330002 74.419998 \n", + "2015-10-07 NaN NaN NaN 66.279999 27.664425 108.099998 75.000000 \n", + "2015-10-08 NaN NaN NaN 67.699997 27.498219 114.930000 75.089996 \n", + "\n", + " GD AMT HD FB MSFT WMT \n", + "Date \n", + "2015-10-02 NaN 89.74 117.81 92.07 45.57 64.98 \n", + "2015-10-05 129.018661 93.46 119.20 94.01 46.63 65.87 \n", + "2015-10-06 125.921211 93.37 118.68 92.80 46.75 65.68 \n", + "2015-10-07 126.272095 94.24 119.65 92.40 46.80 66.36 \n", + "2015-10-08 127.666481 95.57 121.06 92.47 47.45 66.88 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Concat the df's based on what we currently have and we will add Felipe's later\n", + "\n", + "combined = pd.concat([eve_df, eren_df, phil_df], axis='columns', join='outer')\n", + "\n", + "combined.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ORCLSQNVDABABAPFENFLXCRMGDAMTHDFBMSFTWMT
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" + ], + "text/plain": [ + " ORCL SQ NVDA BABA PFE \\\n", + "2015-11-19 36.108597 13.070000 30.458263 77.870003 27.049994 \n", + "2015-11-20 36.404728 12.850000 30.722525 79.949997 26.957846 \n", + "2015-11-23 36.219639 12.120000 30.262524 81.309998 26.245783 \n", + "2015-11-24 36.515770 12.020000 30.507206 80.860001 26.781923 \n", + "2015-11-25 36.330700 11.900000 30.468054 81.709999 27.535873 \n", + "... ... ... ... ... ... \n", + "2020-09-25 59.799999 157.720001 514.950012 271.089996 36.049999 \n", + "2020-09-28 59.580002 160.759995 521.400024 276.010010 36.389999 \n", + "2020-09-29 59.470001 164.809998 529.030029 276.929993 36.169998 \n", + "2020-09-30 59.700001 162.550003 541.219971 293.980011 36.700001 \n", + "2020-10-01 59.680000 168.490005 544.580017 290.049988 36.369999 \n", + "\n", + " NFLX CRM GD AMT HD ... BLK \\\n", + "2015-11-19 120.220001 80.639999 130.626297 99.63 126.86 ... 359.09 \n", + "2015-11-20 123.839996 80.989998 130.896194 100.49 130.21 ... 362.46 \n", + "2015-11-23 125.029999 80.779999 130.077530 99.94 132.50 ... 363.25 \n", + "2015-11-24 123.309998 80.389999 130.923172 99.26 133.60 ... 356.81 \n", + "2015-11-25 124.160004 80.410004 130.608292 99.09 134.65 ... 360.62 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-25 482.880005 242.740005 138.210007 239.81 268.55 ... 547.81 \n", + "2020-09-28 490.649994 246.669998 140.919998 240.00 272.33 ... 558.65 \n", + "2020-09-29 493.480011 247.449997 138.550003 240.12 272.11 ... 554.80 \n", + "2020-09-30 500.029999 251.320007 138.429993 241.73 277.71 ... 563.55 \n", + "2020-10-01 527.510010 253.449997 138.220001 242.15 277.62 ... 567.91 \n", + "\n", + " TROW JNJ UNH MMM UPS ACN PPG AMT \\\n", + "2015-11-19 76.38 102.49 110.63 158.38 104.10 107.28 103.37 99.63 \n", + "2015-11-20 76.37 102.48 112.97 158.95 104.10 107.97 104.62 100.49 \n", + "2015-11-23 76.15 102.77 112.16 158.65 103.59 107.84 105.47 99.94 \n", + "2015-11-24 75.62 102.04 113.19 157.75 103.40 107.35 105.49 99.26 \n", + "2015-11-25 76.01 101.96 114.41 157.63 103.49 107.10 106.46 99.09 \n", + "... ... ... ... ... ... ... ... ... \n", + "2020-09-25 125.22 145.66 302.50 160.27 166.12 214.63 120.25 239.81 \n", + "2020-09-28 128.55 147.11 303.23 161.66 168.90 222.78 121.74 240.00 \n", + "2020-09-29 127.49 147.06 304.15 159.81 168.50 224.08 120.33 240.12 \n", + "2020-09-30 128.22 148.88 311.77 160.18 166.63 225.99 122.08 241.73 \n", + "2020-10-01 128.04 147.32 313.07 158.79 167.65 225.18 121.78 242.15 \n", + "\n", + " NEE \n", + "2015-11-19 100.99 \n", + "2015-11-20 101.02 \n", + "2015-11-23 100.49 \n", + "2015-11-24 99.41 \n", + "2015-11-25 98.88 \n", + "... ... \n", + "2020-09-25 281.82 \n", + "2020-09-28 284.14 \n", + "2020-09-29 283.12 \n", + "2020-09-30 277.56 \n", + "2020-10-01 282.76 \n", + "\n", + "[1225 rows x 29 columns]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Combining all of our df's to create one master df from where we will decide which stocks we chose\n", + "\n", + "combined_2 = pd.concat([eve_df, eren_df, phil_df, felipe_df], axis='columns', join='outer')\n", + "combined_2.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['ORCL', 'SQ', 'NVDA', 'BABA', 'PFE', 'NFLX', 'CRM', 'GD', 'AMT', 'HD',\n", + " 'FB', 'MSFT', 'WMT', 'VZ', 'MCD', 'SBUX', 'CLX', 'COST', 'PSX', 'BLK',\n", + " 'TROW', 'JNJ', 'UNH', 'MMM', 'UPS', 'ACN', 'PPG', 'AMT', 'NEE'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "#Just a sanity check to see all the column names to ensure that we got everything\n", + "\n", + "print(combined_2.columns)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Inital Data Calculations of All the Potential Stocks for Our Portfolio" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculate Daily Returns" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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..................................................................
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1225 rows × 29 columns

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2020-09-290.64697611.60979316.3690153.3317690.3000363.4357752.2874980.0738761.6757301.309736...0.8748310.8587260.5784051.6082670.1350140.7092721.2763100.3350721.7169041.932367
2020-09-300.65334611.43687916.7692333.5984670.3190853.4946522.3389130.0729461.6936711.357270...0.9044000.8693690.5979391.6736130.1376420.6903021.2957130.3544881.7351211.874780
2020-10-010.65279211.89135516.8795493.5369930.3072243.7416632.3672110.0713181.6983511.356506...0.9191340.8667440.5811961.6847610.1277700.7006491.2874850.3511591.7398731.928638
2020-10-020.62925211.97704716.1542943.5075870.3075843.5218882.2928130.0889121.6983511.356506...0.9191340.8667440.5811961.6847610.1277700.7006491.2874850.3511591.7398731.928638
\n", + "

1225 rows × 29 columns

\n", + "
" + ], + "text/plain": [ + " ORCL SQ NVDA BABA PFE NFLX \\\n", + "2015-11-20 0.008201 -0.016832 0.008676 0.250587 -0.031071 0.113169 \n", + "2015-11-23 0.003075 -0.072686 -0.006426 0.271860 -0.056664 0.123865 \n", + "2015-11-24 0.011276 -0.080337 0.001607 0.264821 -0.037394 0.108404 \n", + "2015-11-25 0.006151 -0.089518 0.000321 0.278117 -0.010295 0.116045 \n", + "2015-11-27 0.004101 -0.078041 0.008676 0.272955 -0.012704 0.127551 \n", + "... ... ... ... ... ... ... \n", + "2020-09-28 0.650023 11.299923 16.118508 3.317379 0.307943 3.410337 \n", + "2020-09-29 0.646976 11.609793 16.369015 3.331769 0.300036 3.435775 \n", + "2020-09-30 0.653346 11.436879 16.769233 3.598467 0.319085 3.494652 \n", + "2020-10-01 0.652792 11.891355 16.879549 3.536993 0.307224 3.741663 \n", + "2020-10-02 0.629252 11.977047 16.154294 3.507587 0.307584 3.521888 \n", + "\n", + " CRM GD AMT HD ... BLK TROW \\\n", + "2015-11-20 0.075993 0.014552 0.119791 0.105254 ... 0.224858 0.113428 \n", + "2015-11-23 0.073203 0.008207 0.113662 0.124692 ... 0.227528 0.110220 \n", + "2015-11-24 0.068022 0.014762 0.106084 0.134029 ... 0.205765 0.102493 \n", + "2015-11-25 0.068288 0.012321 0.104190 0.142942 ... 0.218640 0.108179 \n", + "2015-11-27 0.062442 0.014970 0.110764 0.143706 ... 0.211104 0.107304 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-28 2.277136 0.092245 1.674393 1.311603 ... 0.887841 0.874180 \n", + "2020-09-29 2.287498 0.073876 1.675730 1.309736 ... 0.874831 0.858726 \n", + "2020-09-30 2.338913 0.072946 1.693671 1.357270 ... 0.904400 0.869369 \n", + "2020-10-01 2.367211 0.071318 1.698351 1.356506 ... 0.919134 0.866744 \n", + "2020-10-02 2.292813 0.088912 1.698351 1.356506 ... 0.919134 0.866744 \n", + "\n", + " JNJ UNH MMM UPS ACN PPG \\\n", + "2015-11-20 0.099925 -0.031215 0.128906 0.055995 0.096810 0.160768 \n", + "2015-11-23 0.103037 -0.038161 0.126776 0.050822 0.095490 0.170199 \n", + "2015-11-24 0.095202 -0.029329 0.120384 0.048894 0.090512 0.170421 \n", + "2015-11-25 0.094344 -0.018866 0.119531 0.049807 0.087972 0.181183 \n", + "2015-11-27 0.098744 -0.019467 0.122088 0.056807 0.091629 0.178409 \n", + "... ... ... ... ... ... ... \n", + "2020-09-28 0.578942 1.600377 0.148153 0.713329 1.263104 0.350716 \n", + "2020-09-29 0.578405 1.608267 0.135014 0.709272 1.276310 0.335072 \n", + "2020-09-30 0.597939 1.673613 0.137642 0.690302 1.295713 0.354488 \n", + "2020-10-01 0.581196 1.684761 0.127770 0.700649 1.287485 0.351159 \n", + "2020-10-02 0.581196 1.684761 0.127770 0.700649 1.287485 0.351159 \n", + "\n", + " AMT NEE \n", + "2015-11-20 0.137022 0.046297 \n", + "2015-11-23 0.130799 0.040808 \n", + "2015-11-24 0.123105 0.029622 \n", + "2015-11-25 0.121181 0.024133 \n", + "2015-11-27 0.127857 0.029208 \n", + "... ... ... \n", + "2020-09-28 1.715547 1.942931 \n", + "2020-09-29 1.716904 1.932367 \n", + "2020-09-30 1.735121 1.874780 \n", + "2020-10-01 1.739873 1.928638 \n", + "2020-10-02 1.739873 1.928638 \n", + "\n", + "[1225 rows x 29 columns]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Calculating each stocks cumulative return\n", + "\n", + "portfolio_cumulative = (portfolio_daily + 1).cumprod() -1 \n", + "portfolio_cumulative.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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ORCLSQNVDABABAPFENFLXCRMGDAMTHD...BLKTROWJNJUNHMMMUPSACNPPGAMTNEE
ORCL1.0000000.3867440.4410400.4015310.4894900.3693830.5199980.4903170.4491870.541530...0.5746010.6183750.4998360.4622280.4938100.4878020.5910720.4655680.4491870.396957
SQ0.3867441.0000000.4971010.4351900.2667960.4062010.5224510.3526470.3088850.450279...0.4319280.4096110.2428600.3781590.3195240.3338340.4596900.3715240.3088850.277866
NVDA0.4410400.4971011.0000000.5111860.3027160.4340590.5186490.3800770.3170520.498054...0.4801330.4459710.3214360.4096790.4285200.3945180.4820800.3814440.3170520.273752
BABA0.4015310.4351900.5111861.0000000.2777020.4186950.4586910.3536400.2604170.363652...0.4539070.4093930.2876510.3196690.3689890.3451120.4445010.3846590.2604170.164492
PFE0.4894900.2667960.3027160.2777021.0000000.2415240.3400860.4658070.4234150.465854...0.4998600.5282400.6011880.5066450.4674510.4185800.4725090.3920160.4234150.401200
NFLX0.3693830.4062010.4340590.4186950.2415241.0000000.5053630.2659910.2215680.356067...0.3393150.3284850.2272230.3338980.2652860.2985670.3785060.2327310.2215680.143194
CRM0.5199980.5224510.5186490.4586910.3400860.5053631.0000000.3908740.3858790.533370...0.5156050.4817450.3532720.4152880.3812640.3609450.5703540.3955940.3858790.296409
GD0.4903170.3526470.3800770.3536400.4658070.2659910.3908741.0000000.4360780.559862...0.6292730.6362080.4668390.5051940.6140540.4917390.5873170.5811770.4360780.421907
AMT0.4491870.3088850.3170520.2604170.4234150.2215680.3858790.4360781.0000000.489816...0.4911200.4553020.4942700.4579720.3803470.3639200.5437900.4094361.0000000.634955
HD0.5415300.4502790.4980540.3636520.4658540.3560670.5333700.5598620.4898161.000000...0.6379710.5801710.4557370.5476120.5403290.4967440.6536810.5650350.4898160.469551
FB0.4572070.4367920.4830110.4683350.3272480.4629000.5569160.3473160.3547480.476309...0.4515280.4630390.3389630.3950710.3638710.3674200.5148830.3553010.3547480.286661
MSFT0.6466100.5437230.6052890.5427340.4808340.5137660.6796170.4933680.4916290.619985...0.6371540.6116720.5132320.5491180.5084840.4733210.6978060.4834760.4916290.427397
WMT0.3958240.1878690.2776780.1842560.3627780.2417830.2575220.2917780.3428830.403235...0.3249320.3966910.3942330.3291640.3123590.3448490.3578910.2142330.3428830.353807
VZ0.3867150.1394750.2070150.1574890.4200160.1305500.2239560.3840660.4223330.407158...0.3940410.4188230.4806800.3729220.3886110.3513490.4162890.3108070.4220080.484183
MCD-0.0036410.0277500.0103220.013460-0.032039-0.0221460.010757-0.054155-0.042996-0.009309...-0.026979-0.042255-0.058079-0.003496-0.030284-0.067721-0.037804-0.026089-0.043673-0.072508
SBUX0.5269510.3904600.3842160.3464910.3996690.2859690.4564000.4951170.4807120.600181...0.5871040.5217480.4369400.4951340.4953640.4183710.6161910.5224960.4809090.424887
CLX0.2604170.0756700.1621180.0649580.2919650.1239450.1661570.1931860.3558460.261454...0.2339200.2667230.3698660.2143010.2154790.2362350.2765440.1329080.3562750.408573
COST0.4262800.2922460.3586260.2659680.4032050.3110270.3631610.3813530.3790050.505839...0.4390980.4868540.4727360.4104830.4068340.4369280.4795760.3255530.3792600.350427
PSX0.4693420.3521310.3372000.3264890.3914310.2089930.3624550.5719580.3696420.479879...0.5508330.5711330.3760430.4485490.5134600.4019740.5318380.5707670.3700540.345528
BLK0.5746010.4319280.4801330.4539070.4998600.3393150.5156050.6292730.4911200.637971...1.0000000.7761580.5399300.5599910.6154580.5285370.6798080.6259530.4915590.425750
TROW0.6183750.4096110.4459710.4093930.5282400.3284850.4817450.6362080.4553020.580171...0.7761581.0000000.5126670.5141520.6061870.5787370.6367180.5329310.4552170.377826
JNJ0.4998360.2428600.3214360.2876510.6011880.2272230.3532720.4668390.4942700.455737...0.5399300.5126671.0000000.5102070.5193090.4252310.5200040.3971810.4944770.476430
UNH0.4622280.3781590.4096790.3196690.5066450.3338980.4152880.5051940.4579720.547612...0.5599910.5141520.5102071.0000000.4839960.4250470.5261000.4885780.4583580.439364
MMM0.4938100.3195240.4285200.3689890.4674510.2652860.3812640.6140540.3803470.540329...0.6154580.6061870.5193090.4839961.0000000.5457290.5806490.5654950.3808170.362916
UPS0.4878020.3338340.3945180.3451120.4185800.2985670.3609450.4917390.3639200.496744...0.5285370.5787370.4252310.4250470.5457291.0000000.4964290.4492990.3641090.326873
ACN0.5910720.4596900.4820800.4445010.4725090.3785060.5703540.5873170.5437900.653681...0.6798080.6367180.5200040.5261000.5806490.4964291.0000000.5829350.5439470.462775
PPG0.4655680.3715240.3814440.3846590.3920160.2327310.3955940.5811770.4094360.565035...0.6259530.5329310.3971810.4885780.5654950.4492990.5829351.0000000.4100280.337895
AMT0.4491870.3088850.3170520.2604170.4234150.2215680.3858790.4360781.0000000.489816...0.4915590.4552170.4944770.4583580.3808170.3641090.5439470.4100281.0000000.635249
NEE0.3969570.2778660.2737520.1644920.4012000.1431940.2964090.4219070.6349550.469551...0.4257500.3778260.4764300.4393640.3629160.3268730.4627750.3378950.6352491.000000
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29 rows × 29 columns

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" + ], + "text/plain": [ + " ORCL SQ NVDA BABA PFE NFLX CRM \\\n", + "ORCL 1.000000 0.386744 0.441040 0.401531 0.489490 0.369383 0.519998 \n", + "SQ 0.386744 1.000000 0.497101 0.435190 0.266796 0.406201 0.522451 \n", + "NVDA 0.441040 0.497101 1.000000 0.511186 0.302716 0.434059 0.518649 \n", + "BABA 0.401531 0.435190 0.511186 1.000000 0.277702 0.418695 0.458691 \n", + "PFE 0.489490 0.266796 0.302716 0.277702 1.000000 0.241524 0.340086 \n", + "NFLX 0.369383 0.406201 0.434059 0.418695 0.241524 1.000000 0.505363 \n", + "CRM 0.519998 0.522451 0.518649 0.458691 0.340086 0.505363 1.000000 \n", + "GD 0.490317 0.352647 0.380077 0.353640 0.465807 0.265991 0.390874 \n", + "AMT 0.449187 0.308885 0.317052 0.260417 0.423415 0.221568 0.385879 \n", + "HD 0.541530 0.450279 0.498054 0.363652 0.465854 0.356067 0.533370 \n", + "FB 0.457207 0.436792 0.483011 0.468335 0.327248 0.462900 0.556916 \n", + "MSFT 0.646610 0.543723 0.605289 0.542734 0.480834 0.513766 0.679617 \n", + "WMT 0.395824 0.187869 0.277678 0.184256 0.362778 0.241783 0.257522 \n", + "VZ 0.386715 0.139475 0.207015 0.157489 0.420016 0.130550 0.223956 \n", + "MCD -0.003641 0.027750 0.010322 0.013460 -0.032039 -0.022146 0.010757 \n", + "SBUX 0.526951 0.390460 0.384216 0.346491 0.399669 0.285969 0.456400 \n", + "CLX 0.260417 0.075670 0.162118 0.064958 0.291965 0.123945 0.166157 \n", + "COST 0.426280 0.292246 0.358626 0.265968 0.403205 0.311027 0.363161 \n", + "PSX 0.469342 0.352131 0.337200 0.326489 0.391431 0.208993 0.362455 \n", + "BLK 0.574601 0.431928 0.480133 0.453907 0.499860 0.339315 0.515605 \n", + "TROW 0.618375 0.409611 0.445971 0.409393 0.528240 0.328485 0.481745 \n", + "JNJ 0.499836 0.242860 0.321436 0.287651 0.601188 0.227223 0.353272 \n", + "UNH 0.462228 0.378159 0.409679 0.319669 0.506645 0.333898 0.415288 \n", + "MMM 0.493810 0.319524 0.428520 0.368989 0.467451 0.265286 0.381264 \n", + "UPS 0.487802 0.333834 0.394518 0.345112 0.418580 0.298567 0.360945 \n", + "ACN 0.591072 0.459690 0.482080 0.444501 0.472509 0.378506 0.570354 \n", + "PPG 0.465568 0.371524 0.381444 0.384659 0.392016 0.232731 0.395594 \n", + "AMT 0.449187 0.308885 0.317052 0.260417 0.423415 0.221568 0.385879 \n", + "NEE 0.396957 0.277866 0.273752 0.164492 0.401200 0.143194 0.296409 \n", + "\n", + " GD AMT HD ... BLK TROW JNJ \\\n", + "ORCL 0.490317 0.449187 0.541530 ... 0.574601 0.618375 0.499836 \n", + "SQ 0.352647 0.308885 0.450279 ... 0.431928 0.409611 0.242860 \n", + "NVDA 0.380077 0.317052 0.498054 ... 0.480133 0.445971 0.321436 \n", + "BABA 0.353640 0.260417 0.363652 ... 0.453907 0.409393 0.287651 \n", + "PFE 0.465807 0.423415 0.465854 ... 0.499860 0.528240 0.601188 \n", + "NFLX 0.265991 0.221568 0.356067 ... 0.339315 0.328485 0.227223 \n", + "CRM 0.390874 0.385879 0.533370 ... 0.515605 0.481745 0.353272 \n", + "GD 1.000000 0.436078 0.559862 ... 0.629273 0.636208 0.466839 \n", + "AMT 0.436078 1.000000 0.489816 ... 0.491120 0.455302 0.494270 \n", + "HD 0.559862 0.489816 1.000000 ... 0.637971 0.580171 0.455737 \n", + "FB 0.347316 0.354748 0.476309 ... 0.451528 0.463039 0.338963 \n", + "MSFT 0.493368 0.491629 0.619985 ... 0.637154 0.611672 0.513232 \n", + "WMT 0.291778 0.342883 0.403235 ... 0.324932 0.396691 0.394233 \n", + "VZ 0.384066 0.422333 0.407158 ... 0.394041 0.418823 0.480680 \n", + "MCD -0.054155 -0.042996 -0.009309 ... -0.026979 -0.042255 -0.058079 \n", + "SBUX 0.495117 0.480712 0.600181 ... 0.587104 0.521748 0.436940 \n", + "CLX 0.193186 0.355846 0.261454 ... 0.233920 0.266723 0.369866 \n", + "COST 0.381353 0.379005 0.505839 ... 0.439098 0.486854 0.472736 \n", + "PSX 0.571958 0.369642 0.479879 ... 0.550833 0.571133 0.376043 \n", + "BLK 0.629273 0.491120 0.637971 ... 1.000000 0.776158 0.539930 \n", + "TROW 0.636208 0.455302 0.580171 ... 0.776158 1.000000 0.512667 \n", + "JNJ 0.466839 0.494270 0.455737 ... 0.539930 0.512667 1.000000 \n", + "UNH 0.505194 0.457972 0.547612 ... 0.559991 0.514152 0.510207 \n", + "MMM 0.614054 0.380347 0.540329 ... 0.615458 0.606187 0.519309 \n", + "UPS 0.491739 0.363920 0.496744 ... 0.528537 0.578737 0.425231 \n", + "ACN 0.587317 0.543790 0.653681 ... 0.679808 0.636718 0.520004 \n", + "PPG 0.581177 0.409436 0.565035 ... 0.625953 0.532931 0.397181 \n", + "AMT 0.436078 1.000000 0.489816 ... 0.491559 0.455217 0.494477 \n", + "NEE 0.421907 0.634955 0.469551 ... 0.425750 0.377826 0.476430 \n", + "\n", + " UNH MMM UPS ACN PPG AMT NEE \n", + "ORCL 0.462228 0.493810 0.487802 0.591072 0.465568 0.449187 0.396957 \n", + "SQ 0.378159 0.319524 0.333834 0.459690 0.371524 0.308885 0.277866 \n", + "NVDA 0.409679 0.428520 0.394518 0.482080 0.381444 0.317052 0.273752 \n", + "BABA 0.319669 0.368989 0.345112 0.444501 0.384659 0.260417 0.164492 \n", + "PFE 0.506645 0.467451 0.418580 0.472509 0.392016 0.423415 0.401200 \n", + "NFLX 0.333898 0.265286 0.298567 0.378506 0.232731 0.221568 0.143194 \n", + "CRM 0.415288 0.381264 0.360945 0.570354 0.395594 0.385879 0.296409 \n", + "GD 0.505194 0.614054 0.491739 0.587317 0.581177 0.436078 0.421907 \n", + "AMT 0.457972 0.380347 0.363920 0.543790 0.409436 1.000000 0.634955 \n", + "HD 0.547612 0.540329 0.496744 0.653681 0.565035 0.489816 0.469551 \n", + "FB 0.395071 0.363871 0.367420 0.514883 0.355301 0.354748 0.286661 \n", + "MSFT 0.549118 0.508484 0.473321 0.697806 0.483476 0.491629 0.427397 \n", + "WMT 0.329164 0.312359 0.344849 0.357891 0.214233 0.342883 0.353807 \n", + "VZ 0.372922 0.388611 0.351349 0.416289 0.310807 0.422008 0.484183 \n", + "MCD -0.003496 -0.030284 -0.067721 -0.037804 -0.026089 -0.043673 -0.072508 \n", + "SBUX 0.495134 0.495364 0.418371 0.616191 0.522496 0.480909 0.424887 \n", + "CLX 0.214301 0.215479 0.236235 0.276544 0.132908 0.356275 0.408573 \n", + "COST 0.410483 0.406834 0.436928 0.479576 0.325553 0.379260 0.350427 \n", + "PSX 0.448549 0.513460 0.401974 0.531838 0.570767 0.370054 0.345528 \n", + "BLK 0.559991 0.615458 0.528537 0.679808 0.625953 0.491559 0.425750 \n", + "TROW 0.514152 0.606187 0.578737 0.636718 0.532931 0.455217 0.377826 \n", + "JNJ 0.510207 0.519309 0.425231 0.520004 0.397181 0.494477 0.476430 \n", + "UNH 1.000000 0.483996 0.425047 0.526100 0.488578 0.458358 0.439364 \n", + "MMM 0.483996 1.000000 0.545729 0.580649 0.565495 0.380817 0.362916 \n", + "UPS 0.425047 0.545729 1.000000 0.496429 0.449299 0.364109 0.326873 \n", + "ACN 0.526100 0.580649 0.496429 1.000000 0.582935 0.543947 0.462775 \n", + "PPG 0.488578 0.565495 0.449299 0.582935 1.000000 0.410028 0.337895 \n", + "AMT 0.458358 0.380817 0.364109 0.543947 0.410028 1.000000 0.635249 \n", + "NEE 0.439364 0.362916 0.326873 0.462775 0.337895 0.635249 1.000000 \n", + "\n", + "[29 rows x 29 columns]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Here we are deciphering the correlation of the stocks amongst themselves.\n", + "correlation_of_all_potential_stocks = portfolio_daily.corr()\n", + "correlation_of_all_potential_stocks" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#We are using a heat map to quickly see if there are any noteable correlations that we should be concerned about.\n", + "sns.heatmap(correlation_of_all_potential_stocks);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Clean the data for the S&P 500" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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OpenHighLowCloseAdj CloseVolume
Date
2015-10-021921.7700201951.3599851893.6999511951.3599851951.3599854378570000
2015-10-051954.3299561989.1700441954.3299561987.0500491987.0500494334490000
2015-10-061986.6300051991.6199951971.9899901979.9200441979.9200444202400000
2015-10-071982.3399661999.3100591976.4399411995.8299561995.8299564666470000
2015-10-081994.0100102016.5000001987.5300292013.4300542013.4300543939140000
.....................
2020-09-253236.6599123306.8798833228.4399413298.4599613298.4599613792220000
2020-09-283333.8999023360.7399903332.9099123351.6000983351.6000983946060000
2020-09-293350.9199223357.9199223327.5400393335.4699713335.4699713651880000
2020-09-303341.2099613393.5600593340.4699713363.0000003363.0000004722530000
2020-10-013385.8701173397.1799323361.3898933380.8000493380.8000494070530000
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1259 rows × 6 columns

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" + ], + "text/plain": [ + " Open High Low Close Adj Close \\\n", + "Date \n", + "2015-10-02 1921.770020 1951.359985 1893.699951 1951.359985 1951.359985 \n", + "2015-10-05 1954.329956 1989.170044 1954.329956 1987.050049 1987.050049 \n", + "2015-10-06 1986.630005 1991.619995 1971.989990 1979.920044 1979.920044 \n", + "2015-10-07 1982.339966 1999.310059 1976.439941 1995.829956 1995.829956 \n", + "2015-10-08 1994.010010 2016.500000 1987.530029 2013.430054 2013.430054 \n", + "... ... ... ... ... ... \n", + "2020-09-25 3236.659912 3306.879883 3228.439941 3298.459961 3298.459961 \n", + "2020-09-28 3333.899902 3360.739990 3332.909912 3351.600098 3351.600098 \n", + "2020-09-29 3350.919922 3357.919922 3327.540039 3335.469971 3335.469971 \n", + "2020-09-30 3341.209961 3393.560059 3340.469971 3363.000000 3363.000000 \n", + "2020-10-01 3385.870117 3397.179932 3361.389893 3380.800049 3380.800049 \n", + "\n", + " Volume \n", + "Date \n", + "2015-10-02 4378570000 \n", + "2015-10-05 4334490000 \n", + "2015-10-06 4202400000 \n", + "2015-10-07 4666470000 \n", + "2015-10-08 3939140000 \n", + "... ... \n", + "2020-09-25 3792220000 \n", + "2020-09-28 3946060000 \n", + "2020-09-29 3651880000 \n", + "2020-09-30 4722530000 \n", + "2020-10-01 4070530000 \n", + "\n", + "[1259 rows x 6 columns]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Reading csv files \n", + "SP500_data = Path(\"../CSVs/SP500.csv\")\n", + "\n", + "raw_portfolio_data = Path(\"../CSVs/raw_portfolio.csv\")\n", + "# Reading csv as df\n", + "\n", + "SP500_df = pd.read_csv(SP500_data,index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n", + "raw_portfolio_data = pd.read_csv(raw_portfolio_data, index_col=0, parse_dates=True, infer_datetime_format=True)\n", + "SP500_df" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Close
Date
2015-10-021951.359985
2015-10-051987.050049
2015-10-061979.920044
2015-10-071995.829956
2015-10-082013.430054
......
2020-09-253298.459961
2020-09-283351.600098
2020-09-293335.469971
2020-09-303363.000000
2020-10-013380.800049
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1259 rows × 1 columns

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" + ], + "text/plain": [ + " Close\n", + "Date \n", + "2015-10-02 1951.359985\n", + "2015-10-05 1987.050049\n", + "2015-10-06 1979.920044\n", + "2015-10-07 1995.829956\n", + "2015-10-08 2013.430054\n", + "... ...\n", + "2020-09-25 3298.459961\n", + "2020-09-28 3351.600098\n", + "2020-09-29 3335.469971\n", + "2020-09-30 3363.000000\n", + "2020-10-01 3380.800049\n", + "\n", + "[1259 rows x 1 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Dropping columns that are not needed\n", + "SP500_close_data= SP500_df.drop(columns=[\"Open\",\"High\",\"Low\",\"Adj Close\", \"Volume\"])\n", + "\n", + "SP500_close_data" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "#Here we saved the output of the dataframe into a csv file for later uses \n", + "\n", + "\n", + " #SP500_close_data.to_csv(r'SP500_close_data.csv', index=True, header=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Combining S&P data with the portfolio containing all our stock picks" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CloseORCLSQNVDABABAPFENFLXCRMGDAMT...PSXBLKTROWJNJUNHMMMUPSACNPPGNEE
2015-11-192081.23999036.10859713.07000030.45826377.87000327.049994120.22000180.639999130.62629799.63...92.38359.0976.38102.49110.63158.38104.10107.28103.37100.99
2015-11-202089.16992236.40472812.85000030.72252579.94999726.957846123.83999680.989998130.896194100.49...91.67362.4676.37102.48112.97158.95104.10107.97104.62101.02
2015-11-232086.59008836.21963912.12000030.26252481.30999826.245783125.02999980.779999130.07753099.94...92.17363.2576.15102.77112.16158.65103.59107.84105.47100.49
2015-11-242089.13989336.51577012.02000030.50720680.86000126.781923123.30999880.389999130.92317299.26...93.13356.8175.62102.04113.19157.75103.40107.35105.4999.41
2015-11-252088.87011736.33070011.90000030.46805481.70999927.535873124.16000480.410004130.60829299.09...92.77360.6276.01101.96114.41157.63103.49107.10106.4698.88
..................................................................
2020-09-253298.45996159.799999157.720001514.950012271.08999636.049999482.880005242.740005138.210007239.81...52.88547.81125.22145.66302.50160.27166.12214.63120.25281.82
2020-09-283351.60009859.580002160.759995521.400024276.01001036.389999490.649994246.669998140.919998240.00...53.98558.65128.55147.11303.23161.66168.90222.78121.74284.14
2020-09-293335.46997159.470001164.809998529.030029276.92999336.169998493.480011247.449997138.550003240.12...52.19554.80127.49147.06304.15159.81168.50224.08120.33283.12
2020-09-303363.00000059.700001162.550003541.219971293.98001136.700001500.029999251.320007138.429993241.73...51.84563.55128.22148.88311.77160.18166.63225.99122.08277.56
2020-10-013380.80004959.680000168.490005544.580017290.04998836.369999527.510010253.449997138.220001242.15...50.28567.91128.04147.32313.07158.79167.65225.18121.78282.76
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1225 rows × 29 columns

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" + ], + "text/plain": [ + " Close ORCL SQ NVDA BABA \\\n", + "2015-11-19 2081.239990 36.108597 13.070000 30.458263 77.870003 \n", + "2015-11-20 2089.169922 36.404728 12.850000 30.722525 79.949997 \n", + "2015-11-23 2086.590088 36.219639 12.120000 30.262524 81.309998 \n", + "2015-11-24 2089.139893 36.515770 12.020000 30.507206 80.860001 \n", + "2015-11-25 2088.870117 36.330700 11.900000 30.468054 81.709999 \n", + "... ... ... ... ... ... \n", + "2020-09-25 3298.459961 59.799999 157.720001 514.950012 271.089996 \n", + "2020-09-28 3351.600098 59.580002 160.759995 521.400024 276.010010 \n", + "2020-09-29 3335.469971 59.470001 164.809998 529.030029 276.929993 \n", + "2020-09-30 3363.000000 59.700001 162.550003 541.219971 293.980011 \n", + "2020-10-01 3380.800049 59.680000 168.490005 544.580017 290.049988 \n", + "\n", + " PFE NFLX CRM GD AMT ... PSX \\\n", + "2015-11-19 27.049994 120.220001 80.639999 130.626297 99.63 ... 92.38 \n", + "2015-11-20 26.957846 123.839996 80.989998 130.896194 100.49 ... 91.67 \n", + "2015-11-23 26.245783 125.029999 80.779999 130.077530 99.94 ... 92.17 \n", + "2015-11-24 26.781923 123.309998 80.389999 130.923172 99.26 ... 93.13 \n", + "2015-11-25 27.535873 124.160004 80.410004 130.608292 99.09 ... 92.77 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-25 36.049999 482.880005 242.740005 138.210007 239.81 ... 52.88 \n", + "2020-09-28 36.389999 490.649994 246.669998 140.919998 240.00 ... 53.98 \n", + "2020-09-29 36.169998 493.480011 247.449997 138.550003 240.12 ... 52.19 \n", + "2020-09-30 36.700001 500.029999 251.320007 138.429993 241.73 ... 51.84 \n", + "2020-10-01 36.369999 527.510010 253.449997 138.220001 242.15 ... 50.28 \n", + "\n", + " BLK TROW JNJ UNH MMM UPS ACN PPG \\\n", + "2015-11-19 359.09 76.38 102.49 110.63 158.38 104.10 107.28 103.37 \n", + "2015-11-20 362.46 76.37 102.48 112.97 158.95 104.10 107.97 104.62 \n", + "2015-11-23 363.25 76.15 102.77 112.16 158.65 103.59 107.84 105.47 \n", + "2015-11-24 356.81 75.62 102.04 113.19 157.75 103.40 107.35 105.49 \n", + "2015-11-25 360.62 76.01 101.96 114.41 157.63 103.49 107.10 106.46 \n", + "... ... ... ... ... ... ... ... ... \n", + "2020-09-25 547.81 125.22 145.66 302.50 160.27 166.12 214.63 120.25 \n", + "2020-09-28 558.65 128.55 147.11 303.23 161.66 168.90 222.78 121.74 \n", + "2020-09-29 554.80 127.49 147.06 304.15 159.81 168.50 224.08 120.33 \n", + "2020-09-30 563.55 128.22 148.88 311.77 160.18 166.63 225.99 122.08 \n", + "2020-10-01 567.91 128.04 147.32 313.07 158.79 167.65 225.18 121.78 \n", + "\n", + " NEE \n", + "2015-11-19 100.99 \n", + "2015-11-20 101.02 \n", + "2015-11-23 100.49 \n", + "2015-11-24 99.41 \n", + "2015-11-25 98.88 \n", + "... ... \n", + "2020-09-25 281.82 \n", + "2020-09-28 284.14 \n", + "2020-09-29 283.12 \n", + "2020-09-30 277.56 \n", + "2020-10-01 282.76 \n", + "\n", + "[1225 rows x 29 columns]" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Now we will conacat the Newly Created SP500 DataFrame with the combined_2 Dataframe\n", + "\n", + "SP500_and_general_stock_picks = pd.concat([SP500_close_data, raw_portfolio_data], axis='columns', join='outer')\n", + "\n", + "SP500_and_general_stock_picks.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SP500ORCLSQNVDABABAPFENFLXCRMGDAMT...PSXBLKTROWJNJUNHMMMUPSACNPPGNEE
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1225 rows × 29 columns

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" + ], + "text/plain": [ + " SP500 ORCL SQ NVDA BABA \\\n", + "2015-11-19 2081.239990 36.108597 13.070000 30.458263 77.870003 \n", + "2015-11-20 2089.169922 36.404728 12.850000 30.722525 79.949997 \n", + "2015-11-23 2086.590088 36.219639 12.120000 30.262524 81.309998 \n", + "2015-11-24 2089.139893 36.515770 12.020000 30.507206 80.860001 \n", + "2015-11-25 2088.870117 36.330700 11.900000 30.468054 81.709999 \n", + "... ... ... ... ... ... \n", + "2020-09-25 3298.459961 59.799999 157.720001 514.950012 271.089996 \n", + "2020-09-28 3351.600098 59.580002 160.759995 521.400024 276.010010 \n", + "2020-09-29 3335.469971 59.470001 164.809998 529.030029 276.929993 \n", + "2020-09-30 3363.000000 59.700001 162.550003 541.219971 293.980011 \n", + "2020-10-01 3380.800049 59.680000 168.490005 544.580017 290.049988 \n", + "\n", + " PFE NFLX CRM GD AMT ... PSX \\\n", + "2015-11-19 27.049994 120.220001 80.639999 130.626297 99.63 ... 92.38 \n", + "2015-11-20 26.957846 123.839996 80.989998 130.896194 100.49 ... 91.67 \n", + "2015-11-23 26.245783 125.029999 80.779999 130.077530 99.94 ... 92.17 \n", + "2015-11-24 26.781923 123.309998 80.389999 130.923172 99.26 ... 93.13 \n", + "2015-11-25 27.535873 124.160004 80.410004 130.608292 99.09 ... 92.77 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-25 36.049999 482.880005 242.740005 138.210007 239.81 ... 52.88 \n", + "2020-09-28 36.389999 490.649994 246.669998 140.919998 240.00 ... 53.98 \n", + "2020-09-29 36.169998 493.480011 247.449997 138.550003 240.12 ... 52.19 \n", + "2020-09-30 36.700001 500.029999 251.320007 138.429993 241.73 ... 51.84 \n", + "2020-10-01 36.369999 527.510010 253.449997 138.220001 242.15 ... 50.28 \n", + "\n", + " BLK TROW JNJ UNH MMM UPS ACN PPG \\\n", + "2015-11-19 359.09 76.38 102.49 110.63 158.38 104.10 107.28 103.37 \n", + "2015-11-20 362.46 76.37 102.48 112.97 158.95 104.10 107.97 104.62 \n", + "2015-11-23 363.25 76.15 102.77 112.16 158.65 103.59 107.84 105.47 \n", + "2015-11-24 356.81 75.62 102.04 113.19 157.75 103.40 107.35 105.49 \n", + "2015-11-25 360.62 76.01 101.96 114.41 157.63 103.49 107.10 106.46 \n", + "... ... ... ... ... ... ... ... ... \n", + "2020-09-25 547.81 125.22 145.66 302.50 160.27 166.12 214.63 120.25 \n", + "2020-09-28 558.65 128.55 147.11 303.23 161.66 168.90 222.78 121.74 \n", + "2020-09-29 554.80 127.49 147.06 304.15 159.81 168.50 224.08 120.33 \n", + "2020-09-30 563.55 128.22 148.88 311.77 160.18 166.63 225.99 122.08 \n", + "2020-10-01 567.91 128.04 147.32 313.07 158.79 167.65 225.18 121.78 \n", + "\n", + " NEE \n", + "2015-11-19 100.99 \n", + "2015-11-20 101.02 \n", + "2015-11-23 100.49 \n", + "2015-11-24 99.41 \n", + "2015-11-25 98.88 \n", + "... ... \n", + "2020-09-25 281.82 \n", + "2020-09-28 284.14 \n", + "2020-09-29 283.12 \n", + "2020-09-30 277.56 \n", + "2020-10-01 282.76 \n", + "\n", + "[1225 rows x 29 columns]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Fixing the df column so that it reads SP500 instead of Close\n", + "column_names = SP500_and_general_stock_picks.columns.values\n", + "column_names[0] = 'SP500'\n", + "SP500_and_general_stock_picks.columns = column_names\n", + "\n", + "\n", + "SP500_and_general_stock_picks.dropna(inplace=True)\n", + "\n", + "SP500_and_general_stock_picks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# General Calculations of the newly created DataFrame" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculating Daily Returns" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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2015-11-23-0.001235-0.005084-0.056809-0.0149730.017011-0.0264140.009609-0.002593-0.006254-0.005473...0.0054540.002180-0.0028810.002830-0.007170-0.001887-0.004899-0.0012040.008125-0.005246
2015-11-240.0012220.008176-0.0082510.008085-0.0055340.020428-0.013757-0.0048280.006501-0.006804...0.010416-0.017729-0.006960-0.0071030.009183-0.005673-0.001834-0.0045440.000190-0.010747
2015-11-25-0.000129-0.005068-0.009983-0.0012830.0105120.0281510.0068930.000249-0.002405-0.001713...-0.0038660.0106780.005157-0.0007840.010778-0.0007610.000870-0.0023290.009195-0.005331
2015-11-270.000594-0.0020380.0126050.008352-0.004039-0.0024340.010309-0.0054720.0026170.005954...-0.000108-0.006184-0.0007890.004021-0.0006120.0022840.0066670.003361-0.0023480.004956
..................................................................
2020-09-250.0159770.0084320.0355200.0425780.0050420.0081100.0207150.0218480.0095690.015370...0.0005680.0238480.0145020.0068430.033623-0.0009350.0355960.0009790.0109290.015421
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1224 rows × 29 columns

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" + ], + "text/plain": [ + " SP500 ORCL SQ NVDA BABA PFE \\\n", + "2015-11-20 0.003810 0.008201 -0.016832 0.008676 0.026711 -0.003407 \n", + "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973 0.017011 -0.026414 \n", + "2015-11-24 0.001222 0.008176 -0.008251 0.008085 -0.005534 0.020428 \n", + "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283 0.010512 0.028151 \n", + "2015-11-27 0.000594 -0.002038 0.012605 0.008352 -0.004039 -0.002434 \n", + "... ... ... ... ... ... ... \n", + "2020-09-25 0.015977 0.008432 0.035520 0.042578 0.005042 0.008110 \n", + "2020-09-28 0.016111 -0.003679 0.019275 0.012526 0.018149 0.009431 \n", + "2020-09-29 -0.004813 -0.001846 0.025193 0.014634 0.003333 -0.006046 \n", + "2020-09-30 0.008254 0.003867 -0.013713 0.023042 0.061568 0.014653 \n", + "2020-10-01 0.005293 -0.000335 0.036543 0.006208 -0.013368 -0.008992 \n", + "\n", + " NFLX CRM GD AMT ... PSX BLK \\\n", + "2015-11-20 0.030111 0.004340 0.002066 0.008632 ... -0.007686 0.009385 \n", + "2015-11-23 0.009609 -0.002593 -0.006254 -0.005473 ... 0.005454 0.002180 \n", + "2015-11-24 -0.013757 -0.004828 0.006501 -0.006804 ... 0.010416 -0.017729 \n", + "2015-11-25 0.006893 0.000249 -0.002405 -0.001713 ... -0.003866 0.010678 \n", + "2015-11-27 0.010309 -0.005472 0.002617 0.005954 ... -0.000108 -0.006184 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-25 0.020715 0.021848 0.009569 0.015370 ... 0.000568 0.023848 \n", + "2020-09-28 0.016091 0.016190 0.019608 0.000792 ... 0.020802 0.019788 \n", + "2020-09-29 0.005768 0.003162 -0.016818 0.000500 ... -0.033160 -0.006892 \n", + "2020-09-30 0.013273 0.015640 -0.000866 0.006705 ... -0.006706 0.015771 \n", + "2020-10-01 0.054957 0.008475 -0.001517 0.001737 ... -0.030093 0.007737 \n", + "\n", + " TROW JNJ UNH MMM UPS ACN \\\n", + "2015-11-20 -0.000131 -0.000098 0.021152 0.003599 0.000000 0.006432 \n", + "2015-11-23 -0.002881 0.002830 -0.007170 -0.001887 -0.004899 -0.001204 \n", + "2015-11-24 -0.006960 -0.007103 0.009183 -0.005673 -0.001834 -0.004544 \n", + "2015-11-25 0.005157 -0.000784 0.010778 -0.000761 0.000870 -0.002329 \n", + "2015-11-27 -0.000789 0.004021 -0.000612 0.002284 0.006667 0.003361 \n", + "... ... ... ... ... ... ... \n", + "2020-09-25 0.014502 0.006843 0.033623 -0.000935 0.035596 0.000979 \n", + "2020-09-28 0.026593 0.009955 0.002413 0.008673 0.016735 0.037972 \n", + "2020-09-29 -0.008246 -0.000340 0.003034 -0.011444 -0.002368 0.005835 \n", + "2020-09-30 0.005726 0.012376 0.025053 0.002315 -0.011098 0.008524 \n", + "2020-10-01 -0.001404 -0.010478 0.004170 -0.008678 0.006121 -0.003584 \n", + "\n", + " PPG NEE \n", + "2015-11-20 0.012092 0.000297 \n", + "2015-11-23 0.008125 -0.005246 \n", + "2015-11-24 0.000190 -0.010747 \n", + "2015-11-25 0.009195 -0.005331 \n", + "2015-11-27 -0.002348 0.004956 \n", + "... ... ... \n", + "2020-09-25 0.010929 0.015421 \n", + "2020-09-28 0.012391 0.008232 \n", + "2020-09-29 -0.011582 -0.003590 \n", + "2020-09-30 0.014543 -0.019638 \n", + "2020-10-01 -0.002457 0.018735 \n", + "\n", + "[1224 rows x 29 columns]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Calculating the % daily change of the SP500 + our stock picks\n", + "daily_returns_of_SP500_general_stock_picks = SP500_and_general_stock_picks.pct_change()\n", + "daily_returns_of_SP500_general_stock_picks.head()\n", + "\n", + "daily_returns_of_SP500_general_stock_picks.dropna(inplace=True)\n", + "\n", + "daily_returns_of_SP500_general_stock_picks" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SP500\n", + "ORCL\n", + "SQ\n", + "NVDA\n", + "BABA\n", + "PFE\n", + "NFLX\n", + "CRM\n", + "GD\n", + "AMT\n", + "HD\n", + "FB\n", + "MSFT\n", + "WMT\n", + "VZ\n", + "MCD\n", + "SBUX\n", + "CLX\n", + "COST\n", + "PSX\n", + "BLK\n", + "TROW\n", + "JNJ\n", + "UNH\n", + "MMM\n", + "UPS\n", + "ACN\n", + "PPG\n", + "NEE\n" + ] + } + ], + "source": [ + "for col in daily_returns_of_SP500_general_stock_picks.columns: \n", + " print(col)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculating Beta for each stock " + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "#Calculating covariance of the our stock portfolio of daily returns\n", + "\n", + "ORCL_covariance = daily_returns_of_SP500_general_stock_picks['ORCL'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "SQ_covariance = daily_returns_of_SP500_general_stock_picks['SQ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "NVDA_covariance = daily_returns_of_SP500_general_stock_picks['NVDA'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "BABA_covariance = daily_returns_of_SP500_general_stock_picks['BABA'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "PFE_covariance = daily_returns_of_SP500_general_stock_picks['PFE'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "NFLX_covariance = daily_returns_of_SP500_general_stock_picks['NFLX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "CRM_covariance = daily_returns_of_SP500_general_stock_picks['CRM'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "GD_covariance = daily_returns_of_SP500_general_stock_picks['GD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "AMT_covariance = daily_returns_of_SP500_general_stock_picks['AMT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "HD_covariance = daily_returns_of_SP500_general_stock_picks['HD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "FB_covariance = daily_returns_of_SP500_general_stock_picks['FB'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "MSFT_covariance = daily_returns_of_SP500_general_stock_picks['MSFT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "WMT_covariance = daily_returns_of_SP500_general_stock_picks['WMT'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "VZ_covariance = daily_returns_of_SP500_general_stock_picks['VZ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "MCD_covariance = daily_returns_of_SP500_general_stock_picks['MCD'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "SBUX_covariance = daily_returns_of_SP500_general_stock_picks['SBUX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "CLX_covariance = daily_returns_of_SP500_general_stock_picks['CLX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "COST_covariance = daily_returns_of_SP500_general_stock_picks['COST'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "PSX_covariance = daily_returns_of_SP500_general_stock_picks['PSX'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "BLK_covariance = daily_returns_of_SP500_general_stock_picks['BLK'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "TROW_covariance = daily_returns_of_SP500_general_stock_picks['TROW'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "JNJ_covariance = daily_returns_of_SP500_general_stock_picks['JNJ'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "UNH_covariance = daily_returns_of_SP500_general_stock_picks['UNH'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "MMM_covariance = daily_returns_of_SP500_general_stock_picks['MMM'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "UPS_covariance = daily_returns_of_SP500_general_stock_picks['UPS'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "ACN_covariance = daily_returns_of_SP500_general_stock_picks['ACN'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "PPG_covariance = daily_returns_of_SP500_general_stock_picks['PPG'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])\n", + "NEE_covariance = daily_returns_of_SP500_general_stock_picks['NEE'].cov(daily_returns_of_SP500_general_stock_picks['SP500'])" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.00014785817616144565" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#calculating Variance of SP500\n", + "\n", + "variance = daily_returns_of_SP500_general_stock_picks['SP500'].var()\n", + "variance\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "#Calculating covariance of stocks used to determine which stocks will stay in our portfolio and which will be dropped\n", + "\n", + "ORCL_beta = ORCL_covariance / variance\n", + "SQ_beta = SQ_covariance / variance\n", + "BABA_beta = BABA_covariance / variance\n", + "PFE_beta = PFE_covariance / variance\n", + "NFLX_beta = NFLX_covariance / variance\n", + "CRM_beta = CRM_covariance / variance\n", + "GD_beta = GD_covariance / variance\n", + "AMT_beta = AMT_covariance / variance\n", + "HD_beta = HD_covariance / variance\n", + "FB_beta = FB_covariance / variance\n", + "MSFT_beta = MSFT_covariance / variance\n", + "WMT_beta = WMT_covariance / variance\n", + "VZ_beta = VZ_covariance / variance\n", + "MCD_beta = MCD_covariance / variance\n", + "SBUX_beta = SBUX_covariance / variance\n", + "CLX_beta = CLX_covariance / variance\n", + "COST_beta = COST_covariance / variance\n", + "PSX_beta = PSX_covariance / variance\n", + "BLK_beta = BLK_covariance / variance\n", + "TROW_beta = TROW_covariance / variance\n", + "JNJ_beta = JNJ_covariance / variance\n", + "UNH_beta = UNH_covariance / variance\n", + "MMM_beta = MMM_covariance / variance\n", + "UPS_beta = UPS_covariance / variance\n", + "ACN_beta = ACN_covariance / variance\n", + "PPG_beta = PPG_covariance / variance\n", + "NEE_beta = NEE_covariance / variance" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'ORCL': 0.9769549555886817,\n", + " 'SQ': 1.5733357802790633,\n", + " 'NVDA': 0.9769549555886817,\n", + " 'BABA': 0.9259970212008787,\n", + " 'PFE': 0.7086025412089901,\n", + " 'NFLX': 1.0012252752845145,\n", + " 'CRM': 1.1741466397375553,\n", + " 'GD': 0.9164540496291751,\n", + " 'AMT': 0.8211519138482752,\n", + " 'HD': 1.0441345895014473,\n", + " 'FB': 1.0632491001241937,\n", + " 'MSFT': 1.1997107974053545,\n", + " 'WMT': 0.5377679951870248,\n", + " 'VZ': 0.5170806353266986,\n", + " 'MCD': -0.031713051802039975,\n", + " 'SBUX': 1.001966415362131,\n", + " 'CLX': 0.34932730372514326,\n", + " 'COST': 0.652210226608838,\n", + " 'PSX': 1.210976849419251,\n", + " 'BLK': 1.2445144852629633,\n", + " 'TROW': 1.2107585898939726,\n", + " 'JNJ': 0.6636170131399196,\n", + " 'UNH': 1.0346792426874538,\n", + " 'MMM': 0.9011592323738653,\n", + " 'UPS': 0.8359317125085839,\n", + " 'ACN': 1.0574321882503792,\n", + " 'PPG': 0.9746945125982714,\n", + " 'NEE': 0.6773761086824459}" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Sanity check of our Covariances by creating a dictionary to read the data\n", + "\n", + "beta = {\n", + " \"ORCL\": ORCL_beta,\n", + " \"SQ\" : SQ_beta,\n", + " \"NVDA\": ORCL_beta,\n", + " \"BABA\": BABA_beta,\n", + " \"PFE\": PFE_beta,\n", + " \"NFLX\": NFLX_beta,\n", + " \"CRM\": CRM_beta,\n", + " \"GD\": GD_beta,\n", + " \"AMT\": AMT_beta,\n", + " \"HD\": HD_beta,\n", + " \"FB\": FB_beta,\n", + " \"MSFT\": MSFT_beta,\n", + " \"WMT\": WMT_beta,\n", + " \"VZ\": VZ_beta,\n", + " \"MCD\": MCD_beta,\n", + " \"SBUX\": SBUX_beta,\n", + " \"CLX\": CLX_beta,\n", + " \"COST\": COST_beta,\n", + " \"PSX\": PSX_beta,\n", + " \"BLK\": BLK_beta,\n", + " \"TROW\": TROW_beta,\n", + " \"JNJ\": JNJ_beta,\n", + " \"UNH\": UNH_beta,\n", + " \"MMM\": MMM_beta,\n", + " \"UPS\": UPS_beta,\n", + " \"ACN\": ACN_beta,\n", + " \"PPG\": PPG_beta,\n", + " \"NEE\": NEE_beta\n", + "}\n", + "\n", + "beta" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MCD -0.031713051802039975\n", + "CLX 0.34932730372514326\n", + "VZ 0.5170806353266986\n", + "WMT 0.5377679951870248\n", + "COST 0.652210226608838\n", + "JNJ 0.6636170131399196\n", + "NEE 0.6773761086824459\n", + "PFE 0.7086025412089901\n", + "AMT 0.8211519138482752\n", + "UPS 0.8359317125085839\n", + "MMM 0.9011592323738653\n", + "GD 0.9164540496291751\n", + "BABA 0.9259970212008787\n", + "PPG 0.9746945125982714\n", + "ORCL 0.9769549555886817\n", + "NVDA 0.9769549555886817\n", + "NFLX 1.0012252752845145\n", + "SBUX 1.001966415362131\n", + "UNH 1.0346792426874538\n", + "HD 1.0441345895014473\n", + "ACN 1.0574321882503792\n", + "FB 1.0632491001241937\n", + "CRM 1.1741466397375553\n", + "MSFT 1.1997107974053545\n", + "TROW 1.2107585898939726\n", + "PSX 1.210976849419251\n", + "BLK 1.2445144852629633\n", + "SQ 1.5733357802790633\n" + ] + } + ], + "source": [ + "#Sorting Beta from lowest to highest\n", + "\n", + "sorted_beta = sorted(beta.items(),key=lambda x: x[1], reverse=False)\n", + "\n", + "for i in sorted_beta: print(i[0], i[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Calculating Correlation of S&P500 to Our Stock Picks" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SP500ORCLSQNVDABABAPFENFLXCRMGDAMT...PSXBLKTROWJNJUNHMMMUPSACNPPGNEE
SP5001.0000000.7172140.5673020.6197050.5505550.6308650.4770130.6616070.7182110.610404...0.6781140.8204460.8000110.6438080.7082310.7055860.6335690.8080550.6986290.562373
ORCL0.7172141.0000000.3869580.4405050.4014090.4896460.3686660.5196280.4914600.449295...0.4695040.5747670.6185540.4999770.4623370.4939650.4879370.5912310.4657080.397040
SQ0.5673020.3869581.0000000.4976700.4352550.2667980.4069670.5228060.3527060.308892...0.3521320.4319330.4096160.2428640.3781670.3195260.3338390.4596970.3715280.277875
NVDA0.6197050.4405050.4976701.0000000.5112040.3029710.4328340.5180640.3818140.317262...0.3375030.4805090.4463150.3216770.4099630.4288780.3948180.4824390.3817510.273910
BABA0.5505550.4014090.4352550.5112041.0000000.2719290.4241420.4591820.3516600.256468...0.3243860.4545190.4110060.2813820.3225090.3698620.3505880.4434880.3867160.163250
PFE0.6308650.4896460.2667980.3029710.2719291.0000000.2552310.3432710.4712870.426877...0.3984280.5051230.5355800.6038700.5055400.4743530.4262250.4772710.3944580.411663
NFLX0.4770130.3686660.4069670.4328340.4241420.2552311.0000000.5175180.2699760.224412...0.2086100.3439550.3360510.2332850.3374980.2687990.3026490.3782770.2369550.150619
CRM0.6616070.5196280.5228060.5180640.4591820.3432710.5175181.0000000.3907460.385774...0.3642460.5176190.4828990.3506790.4265610.3807710.3606560.5731530.3976260.297884
GD0.7182110.4914600.3527060.3818140.3516600.4712870.2699760.3907461.0000000.433965...0.5754440.6326790.6377200.4638090.5156480.6128090.4924060.5857830.5815160.422481
AMT0.6104040.4492950.3088920.3172620.2564680.4268770.2244120.3857740.4339651.000000...0.3660280.4875500.4497160.4918960.4696920.3752330.3619740.5405750.4055840.637052
HD0.7853530.5416720.4502870.4984250.3657000.4745780.3569240.5336270.5631250.492019...0.4828090.6441940.5853380.4557670.5573550.5440810.4974120.6581390.5700220.475322
FB0.6321760.4573220.4368000.4833700.4710060.3245690.4728480.5595510.3464510.354050...0.3625570.4529980.4639540.3349780.3969610.3640970.3677970.5172540.3558630.290893
MSFT0.8358360.6467690.5437340.6057230.5436350.4856010.5247010.6895520.4996360.499342...0.4799770.6448170.6205360.5196890.5640420.5150090.4787630.7040620.4883880.440207
WMT0.4618160.3959120.1878750.2778490.1866340.3803530.2399780.2604760.2930140.348438...0.2125990.3380670.4065920.3998550.3325210.3178870.3492540.3604910.2186430.367207
VZ0.5128570.3868230.1394780.2071640.1495800.4292500.1292820.2195090.3810990.416023...0.3352140.3911620.4141180.4799110.3828850.3842240.3491150.4114530.3069640.484738
MCD-0.032453-0.0036820.0277550.0102670.017631-0.038825-0.0160890.010782-0.054651-0.045105...-0.006914-0.029351-0.044150-0.059683-0.009430-0.030565-0.067445-0.037118-0.026569-0.073236
SBUX0.7113530.5271040.3904640.3845160.3432420.4016400.2853260.4572960.4943610.480262...0.4983750.5899110.5219280.4353210.4985970.4959050.4174400.6147690.5219760.428090
CLX0.3097050.2604730.0756740.1622120.0618950.2912190.1245400.1628810.1898590.350655...0.0843400.2294080.2631700.3667330.2156920.2094130.2323190.2723670.1276190.409847
COST0.5857110.4263800.2922540.3588690.2672410.4127930.3125320.3629220.3793360.375531...0.2861910.4421510.4871090.4728840.4195670.4038510.4363470.4777490.3242100.351795
PSX0.6781140.4695040.3521320.3375030.3243860.3984280.2086100.3642460.5754440.366028...1.0000000.5481500.5703400.3738610.4597190.5130940.4021710.5318340.5712920.346682
BLK0.8204460.5747670.4319330.4805090.4545190.5051230.3439550.5176190.6326790.487550...0.5481501.0000000.7755320.5382970.5733210.6152390.5299920.6799910.6247270.430124
TROW0.8000110.6185540.4096160.4463150.4110060.5355800.3360510.4828990.6377200.449716...0.5703400.7755321.0000000.5098980.5316810.6034280.5804350.6345100.5313710.380660
JNJ0.6438080.4999770.2428640.3216770.2813820.6038700.2332850.3506790.4638090.491896...0.3738610.5382970.5098981.0000000.5178970.5172490.4231470.5193260.3923770.479065
UNH0.7082310.4623370.3781670.4099630.3225090.5055400.3374980.4265610.5156480.469692...0.4597190.5733210.5316810.5178971.0000000.4972790.4340740.5354680.4969140.454074
MMM0.7055860.4939650.3195260.4288780.3698620.4743530.2687990.3807710.6128090.375233...0.5130940.6152390.6034280.5172490.4972791.0000000.5447380.5777080.5640330.362342
UPS0.6335690.4879370.3338390.3948180.3505880.4262250.3026490.3606560.4924060.361974...0.4021710.5299920.5804350.4231470.4340740.5447381.0000000.4963210.4480700.328822
ACN0.8080550.5912310.4596970.4824390.4434880.4772710.3782770.5731530.5857830.540575...0.5318340.6799910.6345100.5193260.5354680.5777080.4963211.0000000.5817410.465686
PPG0.6986290.4657080.3715280.3817510.3867160.3944580.2369550.3976260.5815160.405584...0.5712920.6247270.5313710.3923770.4969140.5640330.4480700.5817411.0000000.338004
NEE0.5623730.3970400.2778750.2739100.1632500.4116630.1506190.2978840.4224810.637052...0.3466820.4301240.3806600.4790650.4540740.3623420.3288220.4656860.3380041.000000
\n", + "

29 rows × 29 columns

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" + ], + "text/plain": [ + " SP500 ORCL SQ NVDA BABA PFE NFLX \\\n", + "SP500 1.000000 0.717214 0.567302 0.619705 0.550555 0.630865 0.477013 \n", + "ORCL 0.717214 1.000000 0.386958 0.440505 0.401409 0.489646 0.368666 \n", + "SQ 0.567302 0.386958 1.000000 0.497670 0.435255 0.266798 0.406967 \n", + "NVDA 0.619705 0.440505 0.497670 1.000000 0.511204 0.302971 0.432834 \n", + "BABA 0.550555 0.401409 0.435255 0.511204 1.000000 0.271929 0.424142 \n", + "PFE 0.630865 0.489646 0.266798 0.302971 0.271929 1.000000 0.255231 \n", + "NFLX 0.477013 0.368666 0.406967 0.432834 0.424142 0.255231 1.000000 \n", + "CRM 0.661607 0.519628 0.522806 0.518064 0.459182 0.343271 0.517518 \n", + "GD 0.718211 0.491460 0.352706 0.381814 0.351660 0.471287 0.269976 \n", + "AMT 0.610404 0.449295 0.308892 0.317262 0.256468 0.426877 0.224412 \n", + "HD 0.785353 0.541672 0.450287 0.498425 0.365700 0.474578 0.356924 \n", + "FB 0.632176 0.457322 0.436800 0.483370 0.471006 0.324569 0.472848 \n", + "MSFT 0.835836 0.646769 0.543734 0.605723 0.543635 0.485601 0.524701 \n", + "WMT 0.461816 0.395912 0.187875 0.277849 0.186634 0.380353 0.239978 \n", + "VZ 0.512857 0.386823 0.139478 0.207164 0.149580 0.429250 0.129282 \n", + "MCD -0.032453 -0.003682 0.027755 0.010267 0.017631 -0.038825 -0.016089 \n", + "SBUX 0.711353 0.527104 0.390464 0.384516 0.343242 0.401640 0.285326 \n", + "CLX 0.309705 0.260473 0.075674 0.162212 0.061895 0.291219 0.124540 \n", + "COST 0.585711 0.426380 0.292254 0.358869 0.267241 0.412793 0.312532 \n", + "PSX 0.678114 0.469504 0.352132 0.337503 0.324386 0.398428 0.208610 \n", + "BLK 0.820446 0.574767 0.431933 0.480509 0.454519 0.505123 0.343955 \n", + "TROW 0.800011 0.618554 0.409616 0.446315 0.411006 0.535580 0.336051 \n", + "JNJ 0.643808 0.499977 0.242864 0.321677 0.281382 0.603870 0.233285 \n", + "UNH 0.708231 0.462337 0.378167 0.409963 0.322509 0.505540 0.337498 \n", + "MMM 0.705586 0.493965 0.319526 0.428878 0.369862 0.474353 0.268799 \n", + "UPS 0.633569 0.487937 0.333839 0.394818 0.350588 0.426225 0.302649 \n", + "ACN 0.808055 0.591231 0.459697 0.482439 0.443488 0.477271 0.378277 \n", + "PPG 0.698629 0.465708 0.371528 0.381751 0.386716 0.394458 0.236955 \n", + "NEE 0.562373 0.397040 0.277875 0.273910 0.163250 0.411663 0.150619 \n", + "\n", + " CRM GD AMT ... PSX BLK TROW \\\n", + "SP500 0.661607 0.718211 0.610404 ... 0.678114 0.820446 0.800011 \n", + "ORCL 0.519628 0.491460 0.449295 ... 0.469504 0.574767 0.618554 \n", + "SQ 0.522806 0.352706 0.308892 ... 0.352132 0.431933 0.409616 \n", + "NVDA 0.518064 0.381814 0.317262 ... 0.337503 0.480509 0.446315 \n", + "BABA 0.459182 0.351660 0.256468 ... 0.324386 0.454519 0.411006 \n", + "PFE 0.343271 0.471287 0.426877 ... 0.398428 0.505123 0.535580 \n", + "NFLX 0.517518 0.269976 0.224412 ... 0.208610 0.343955 0.336051 \n", + "CRM 1.000000 0.390746 0.385774 ... 0.364246 0.517619 0.482899 \n", + "GD 0.390746 1.000000 0.433965 ... 0.575444 0.632679 0.637720 \n", + "AMT 0.385774 0.433965 1.000000 ... 0.366028 0.487550 0.449716 \n", + "HD 0.533627 0.563125 0.492019 ... 0.482809 0.644194 0.585338 \n", + "FB 0.559551 0.346451 0.354050 ... 0.362557 0.452998 0.463954 \n", + "MSFT 0.689552 0.499636 0.499342 ... 0.479977 0.644817 0.620536 \n", + "WMT 0.260476 0.293014 0.348438 ... 0.212599 0.338067 0.406592 \n", + "VZ 0.219509 0.381099 0.416023 ... 0.335214 0.391162 0.414118 \n", + "MCD 0.010782 -0.054651 -0.045105 ... -0.006914 -0.029351 -0.044150 \n", + "SBUX 0.457296 0.494361 0.480262 ... 0.498375 0.589911 0.521928 \n", + "CLX 0.162881 0.189859 0.350655 ... 0.084340 0.229408 0.263170 \n", + "COST 0.362922 0.379336 0.375531 ... 0.286191 0.442151 0.487109 \n", + "PSX 0.364246 0.575444 0.366028 ... 1.000000 0.548150 0.570340 \n", + "BLK 0.517619 0.632679 0.487550 ... 0.548150 1.000000 0.775532 \n", + "TROW 0.482899 0.637720 0.449716 ... 0.570340 0.775532 1.000000 \n", + "JNJ 0.350679 0.463809 0.491896 ... 0.373861 0.538297 0.509898 \n", + "UNH 0.426561 0.515648 0.469692 ... 0.459719 0.573321 0.531681 \n", + "MMM 0.380771 0.612809 0.375233 ... 0.513094 0.615239 0.603428 \n", + "UPS 0.360656 0.492406 0.361974 ... 0.402171 0.529992 0.580435 \n", + "ACN 0.573153 0.585783 0.540575 ... 0.531834 0.679991 0.634510 \n", + "PPG 0.397626 0.581516 0.405584 ... 0.571292 0.624727 0.531371 \n", + "NEE 0.297884 0.422481 0.637052 ... 0.346682 0.430124 0.380660 \n", + "\n", + " JNJ UNH MMM UPS ACN PPG NEE \n", + "SP500 0.643808 0.708231 0.705586 0.633569 0.808055 0.698629 0.562373 \n", + "ORCL 0.499977 0.462337 0.493965 0.487937 0.591231 0.465708 0.397040 \n", + "SQ 0.242864 0.378167 0.319526 0.333839 0.459697 0.371528 0.277875 \n", + "NVDA 0.321677 0.409963 0.428878 0.394818 0.482439 0.381751 0.273910 \n", + "BABA 0.281382 0.322509 0.369862 0.350588 0.443488 0.386716 0.163250 \n", + "PFE 0.603870 0.505540 0.474353 0.426225 0.477271 0.394458 0.411663 \n", + "NFLX 0.233285 0.337498 0.268799 0.302649 0.378277 0.236955 0.150619 \n", + "CRM 0.350679 0.426561 0.380771 0.360656 0.573153 0.397626 0.297884 \n", + "GD 0.463809 0.515648 0.612809 0.492406 0.585783 0.581516 0.422481 \n", + "AMT 0.491896 0.469692 0.375233 0.361974 0.540575 0.405584 0.637052 \n", + "HD 0.455767 0.557355 0.544081 0.497412 0.658139 0.570022 0.475322 \n", + "FB 0.334978 0.396961 0.364097 0.367797 0.517254 0.355863 0.290893 \n", + "MSFT 0.519689 0.564042 0.515009 0.478763 0.704062 0.488388 0.440207 \n", + "WMT 0.399855 0.332521 0.317887 0.349254 0.360491 0.218643 0.367207 \n", + "VZ 0.479911 0.382885 0.384224 0.349115 0.411453 0.306964 0.484738 \n", + "MCD -0.059683 -0.009430 -0.030565 -0.067445 -0.037118 -0.026569 -0.073236 \n", + "SBUX 0.435321 0.498597 0.495905 0.417440 0.614769 0.521976 0.428090 \n", + "CLX 0.366733 0.215692 0.209413 0.232319 0.272367 0.127619 0.409847 \n", + "COST 0.472884 0.419567 0.403851 0.436347 0.477749 0.324210 0.351795 \n", + "PSX 0.373861 0.459719 0.513094 0.402171 0.531834 0.571292 0.346682 \n", + "BLK 0.538297 0.573321 0.615239 0.529992 0.679991 0.624727 0.430124 \n", + "TROW 0.509898 0.531681 0.603428 0.580435 0.634510 0.531371 0.380660 \n", + "JNJ 1.000000 0.517897 0.517249 0.423147 0.519326 0.392377 0.479065 \n", + "UNH 0.517897 1.000000 0.497279 0.434074 0.535468 0.496914 0.454074 \n", + "MMM 0.517249 0.497279 1.000000 0.544738 0.577708 0.564033 0.362342 \n", + "UPS 0.423147 0.434074 0.544738 1.000000 0.496321 0.448070 0.328822 \n", + "ACN 0.519326 0.535468 0.577708 0.496321 1.000000 0.581741 0.465686 \n", + "PPG 0.392377 0.496914 0.564033 0.448070 0.581741 1.000000 0.338004 \n", + "NEE 0.479065 0.454074 0.362342 0.328822 0.465686 0.338004 1.000000 \n", + "\n", + "[29 rows x 29 columns]" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#calculating Correlation of portfolio stocks to the stock market\n", + "\n", + "correlation_of_portfolio = daily_returns_of_SP500_general_stock_picks.corr()\n", + "\n", + "correlation_of_portfolio" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#Visualization of the Correlations\n", + "\n", + "plt.subplots(figsize=(20,15))\n", + "sns.heatmap(correlation_of_portfolio);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Creating a Formula that will help us determine which stocks we will pick in our Portfolio" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Beta
Stock
ORCL0.976955
SQ1.573336
NVDA0.976955
BABA0.925997
PFE0.708603
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" + ], + "text/plain": [ + " Beta\n", + "Stock \n", + "ORCL 0.976955\n", + "SQ 1.573336\n", + "NVDA 0.976955\n", + "BABA 0.925997\n", + "PFE 0.708603" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Creating a df to compare beta and correlations\n", + "\n", + "raw_beta = {\n", + " \"ORCL\": ORCL_beta,\n", + " \"SQ\" : SQ_beta,\n", + " \"NVDA\": ORCL_beta,\n", + " \"BABA\": BABA_beta,\n", + " \"PFE\": PFE_beta,\n", + " \"NFLX\": NFLX_beta,\n", + " \"CRM\": CRM_beta,\n", + " \"GD\": GD_beta,\n", + " \"AMT\": AMT_beta,\n", + " \"HD\": HD_beta,\n", + " \"FB\": FB_beta,\n", + " \"MSFT\": MSFT_beta,\n", + " \"WMT\": WMT_beta,\n", + " \"VZ\": VZ_beta,\n", + " \"MCD\": MCD_beta,\n", + " \"SBUX\": SBUX_beta,\n", + " \"CLX\": CLX_beta,\n", + " \"COST\": COST_beta,\n", + " \"PSX\": PSX_beta,\n", + " \"BLK\": BLK_beta,\n", + " \"TROW\": TROW_beta,\n", + " \"JNJ\": JNJ_beta,\n", + " \"UNH\": UNH_beta,\n", + " \"MMM\": MMM_beta,\n", + " \"UPS\": UPS_beta,\n", + " \"ACN\": ACN_beta,\n", + " \"PPG\": PPG_beta,\n", + " \"NEE\": NEE_beta\n", + "}\n", + "beta_df = pd.DataFrame(list(raw_beta.items()),columns = ['Stock','Beta']) \n", + "\n", + "beta_df.set_index('Stock', inplace=True)\n", + "\n", + "beta_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SP500
SP5001.000000
ORCL0.717214
SQ0.567302
NVDA0.619705
BABA0.550555
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" + ], + "text/plain": [ + " SP500\n", + "SP500 1.000000\n", + "ORCL 0.717214\n", + "SQ 0.567302\n", + "NVDA 0.619705\n", + "BABA 0.550555" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#dropping excess correlations to show only correlation of Portfolio to SP500\n", + "\n", + "correlation_of_portfolio_only_to_SP500 = correlation_of_portfolio.drop(columns=['ORCL','SQ','NVDA','BABA','PFE','NFLX','CRM','GD','AMT','HD','FB','MSFT','WMT', 'VZ','MCD','SBUX','CLX','COST','PSX','BLK','TROW','JNJ','UNH','MMM','UPS','ACN','PPG','NEE'])\n", + "\n", + "correlation_of_portfolio_only_to_SP500.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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BetaSP500
ORCL0.9769550.717214
SQ1.5733360.567302
NVDA0.9769550.619705
BABA0.9259970.550555
PFE0.7086030.630865
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" + ], + "text/plain": [ + " Beta SP500\n", + "ORCL 0.976955 0.717214\n", + "SQ 1.573336 0.567302\n", + "NVDA 0.976955 0.619705\n", + "BABA 0.925997 0.550555\n", + "PFE 0.708603 0.630865" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#combining both df's\n", + "\n", + "correlation_beta_df = pd.concat([beta_df,correlation_of_portfolio_only_to_SP500], axis='columns', join='outer')\n", + "\n", + "correlation_beta_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "#creating our formula to decide how we choose stocks\n", + "\n", + "correlation_beta_df['Beta/SP500'] = correlation_beta_df['Beta']/correlation_beta_df['SP500']" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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BetaSP500Beta/SP500
ORCL0.9769550.7172141.362152
SQ1.5733360.5673022.773364
NVDA0.9769550.6197051.576484
BABA0.9259970.5505551.681935
PFE0.7086030.6308651.123225
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" + ], + "text/plain": [ + " Beta SP500 Beta/SP500\n", + "ORCL 0.976955 0.717214 1.362152\n", + "SQ 1.573336 0.567302 2.773364\n", + "NVDA 0.976955 0.619705 1.576484\n", + "BABA 0.925997 0.550555 1.681935\n", + "PFE 0.708603 0.630865 1.123225" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#implementing our formula\n", + "\n", + "\n", + "correlation_beta_df.dropna(inplace=True)\n", + "\n", + "correlation_beta_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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BetaSP500Beta/SP500
MCD-0.031713-0.0324530.977200
VZ0.5170810.5128571.008236
JNJ0.6636170.6438081.030768
COST0.6522100.5857111.113536
PFE0.7086030.6308651.123225
CLX0.3493270.3097051.127936
WMT0.5377680.4618161.164464
NEE0.6773760.5623731.204495
GD0.9164540.7182111.276024
MMM0.9011590.7055861.277179
ACN1.0574320.8080551.308614
UPS0.8359320.6335691.319401
HD1.0441350.7853531.329509
AMT0.8211520.6104041.345260
ORCL0.9769550.7172141.362152
PPG0.9746950.6986291.395153
SBUX1.0019660.7113531.408537
MSFT1.1997110.8358361.435343
UNH1.0346790.7082311.460935
TROW1.2107590.8000111.513428
BLK1.2445140.8204461.516876
NVDA0.9769550.6197051.576484
FB1.0632490.6321761.681887
BABA0.9259970.5505551.681935
CRM1.1741470.6616071.774688
PSX1.2109770.6781141.785802
NFLX1.0012250.4770132.098947
SQ1.5733360.5673022.773364
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" + ], + "text/plain": [ + " Beta SP500 Beta/SP500\n", + "MCD -0.031713 -0.032453 0.977200\n", + "VZ 0.517081 0.512857 1.008236\n", + "JNJ 0.663617 0.643808 1.030768\n", + "COST 0.652210 0.585711 1.113536\n", + "PFE 0.708603 0.630865 1.123225\n", + "CLX 0.349327 0.309705 1.127936\n", + "WMT 0.537768 0.461816 1.164464\n", + "NEE 0.677376 0.562373 1.204495\n", + "GD 0.916454 0.718211 1.276024\n", + "MMM 0.901159 0.705586 1.277179\n", + "ACN 1.057432 0.808055 1.308614\n", + "UPS 0.835932 0.633569 1.319401\n", + "HD 1.044135 0.785353 1.329509\n", + "AMT 0.821152 0.610404 1.345260\n", + "ORCL 0.976955 0.717214 1.362152\n", + "PPG 0.974695 0.698629 1.395153\n", + "SBUX 1.001966 0.711353 1.408537\n", + "MSFT 1.199711 0.835836 1.435343\n", + "UNH 1.034679 0.708231 1.460935\n", + "TROW 1.210759 0.800011 1.513428\n", + "BLK 1.244514 0.820446 1.516876\n", + "NVDA 0.976955 0.619705 1.576484\n", + "FB 1.063249 0.632176 1.681887\n", + "BABA 0.925997 0.550555 1.681935\n", + "CRM 1.174147 0.661607 1.774688\n", + "PSX 1.210977 0.678114 1.785802\n", + "NFLX 1.001225 0.477013 2.098947\n", + "SQ 1.573336 0.567302 2.773364" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Reading the data in ascending order\n", + "\n", + "correlation_beta_df.sort_values('Beta/SP500', ascending=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "From here we decided to use our new formula to pick the stocks with the highest numeric value. We did however take the executive decision to replace 2 stocks PSX with PFE and SBUX with COST. The reason behind this was because we did not believe in the reliability of energy sector and Costco seemed to have better future growth capabilities. Our portfolio consist of the following stocks: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ.\n" + ] + } + ], + "source": [ + "print(F\"From here we decided to use our new formula to pick the stocks with the highest numeric value. We did however take the executive decision to replace 2 stocks PSX with PFE and SBUX with COST. The reason behind this was because we did not believe in the reliability of energy sector and Costco seemed to have better future growth capabilities. Our portfolio consist of the following stocks: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Analyze the S&P500 with our Final Portfolio Positions" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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..................................................................
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2020-09-250.0159770.0084320.0355200.0425780.0050420.0081100.0207150.0218480.0153700.0212000.022787-0.0127380.0238480.0145020.0336230.010929
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1224 rows × 16 columns

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" + ], + "text/plain": [ + " SP500 ORCL SQ NVDA BABA PFE \\\n", + "2015-11-20 0.003810 0.008201 -0.016832 0.008676 0.026711 -0.003407 \n", + "2015-11-23 -0.001235 -0.005084 -0.056809 -0.014973 0.017011 -0.026414 \n", + "2015-11-24 0.001222 0.008176 -0.008251 0.008085 -0.005534 0.020428 \n", + "2015-11-25 -0.000129 -0.005068 -0.009983 -0.001283 0.010512 0.028151 \n", + "2015-11-27 0.000594 -0.002038 0.012605 0.008352 -0.004039 -0.002434 \n", + "... ... ... ... ... ... ... \n", + "2020-09-25 0.015977 0.008432 0.035520 0.042578 0.005042 0.008110 \n", + "2020-09-28 0.016111 -0.003679 0.019275 0.012526 0.018149 0.009431 \n", + "2020-09-29 -0.004813 -0.001846 0.025193 0.014634 0.003333 -0.006046 \n", + "2020-09-30 0.008254 0.003867 -0.013713 0.023042 0.061568 0.014653 \n", + "2020-10-01 0.005293 -0.000335 0.036543 0.006208 -0.013368 -0.008992 \n", + "\n", + " NFLX CRM AMT FB MSFT COST \\\n", + "2015-11-20 0.030111 0.004340 0.008632 0.009976 0.004635 0.001658 \n", + "2015-11-23 0.009609 -0.002593 -0.005473 -0.003448 0.000000 0.002146 \n", + "2015-11-24 -0.013757 -0.004828 -0.006804 -0.011314 0.001107 -0.007709 \n", + "2015-11-25 0.006893 0.000249 -0.001713 -0.003121 -0.010323 0.001233 \n", + "2015-11-27 0.010309 -0.005472 0.005954 0.000379 0.004470 0.007328 \n", + "... ... ... ... ... ... ... \n", + "2020-09-25 0.020715 0.021848 0.015370 0.021200 0.022787 -0.012738 \n", + "2020-09-28 0.016091 0.016190 0.000792 0.007849 0.007795 0.020550 \n", + "2020-09-29 0.005768 0.003162 0.000500 0.019352 -0.010409 0.007208 \n", + "2020-09-30 0.013273 0.015640 0.006705 0.000420 0.014812 0.008122 \n", + "2020-10-01 0.054957 0.008475 0.001737 0.018060 0.010127 0.009746 \n", + "\n", + " BLK TROW UNH PPG \n", + "2015-11-20 0.009385 -0.000131 0.021152 0.012092 \n", + "2015-11-23 0.002180 -0.002881 -0.007170 0.008125 \n", + "2015-11-24 -0.017729 -0.006960 0.009183 0.000190 \n", + "2015-11-25 0.010678 0.005157 0.010778 0.009195 \n", + "2015-11-27 -0.006184 -0.000789 -0.000612 -0.002348 \n", + "... ... ... ... ... \n", + "2020-09-25 0.023848 0.014502 0.033623 0.010929 \n", + "2020-09-28 0.019788 0.026593 0.002413 0.012391 \n", + "2020-09-29 -0.006892 -0.008246 0.003034 -0.011582 \n", + "2020-09-30 0.015771 0.005726 0.025053 0.014543 \n", + "2020-10-01 0.007737 -0.001404 0.004170 -0.002457 \n", + "\n", + "[1224 rows x 16 columns]" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Drop stocks that are not being used in our portfolio\n", + "#Keep the following: AMT, ORCL, PPG, COST, MSFT, UNH, TROW, BLK, NVDA, FB, BABA, CRM, PFE, NFLX, SQ\n", + "\n", + "Portfolio_returns= daily_returns.drop(columns=['GD','HD','WMT', 'VZ','MCD','SBUX','CLX','PSX','JNJ','MMM','UPS','ACN','NEE'])\n", + "\n", + "Core_returns= Portfolio_returns\n", + "\n", + "Core_returns" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SP500ORCLSQNVDABABAPFENFLXCRMAMTFBMSFTCOSTBLKTROWUNHPPG
SP5001.0000000.7172140.5673020.6197050.5505550.6308650.4770130.6616070.6104040.6321760.8358360.5857110.8204460.8000110.7082310.698629
ORCL0.7172141.0000000.3869580.4405050.4014090.4896460.3686660.5196280.4492950.4573220.6467690.4263800.5747670.6185540.4623370.465708
SQ0.5673020.3869581.0000000.4976700.4352550.2667980.4069670.5228060.3088920.4368000.5437340.2922540.4319330.4096160.3781670.371528
NVDA0.6197050.4405050.4976701.0000000.5112040.3029710.4328340.5180640.3172620.4833700.6057230.3588690.4805090.4463150.4099630.381751
BABA0.5505550.4014090.4352550.5112041.0000000.2719290.4241420.4591820.2564680.4710060.5436350.2672410.4545190.4110060.3225090.386716
PFE0.6308650.4896460.2667980.3029710.2719291.0000000.2552310.3432710.4268770.3245690.4856010.4127930.5051230.5355800.5055400.394458
NFLX0.4770130.3686660.4069670.4328340.4241420.2552311.0000000.5175180.2244120.4728480.5247010.3125320.3439550.3360510.3374980.236955
CRM0.6616070.5196280.5228060.5180640.4591820.3432710.5175181.0000000.3857740.5595510.6895520.3629220.5176190.4828990.4265610.397626
AMT0.6104040.4492950.3088920.3172620.2564680.4268770.2244120.3857741.0000000.3540500.4993420.3755310.4875500.4497160.4696920.405584
FB0.6321760.4573220.4368000.4833700.4710060.3245690.4728480.5595510.3540501.0000000.6290710.3331090.4529980.4639540.3969610.355863
MSFT0.8358360.6467690.5437340.6057230.5436350.4856010.5247010.6895520.4993420.6290711.0000000.5347790.6448170.6205360.5640420.488388
COST0.5857110.4263800.2922540.3588690.2672410.4127930.3125320.3629220.3755310.3331090.5347791.0000000.4421510.4871090.4195670.324210
BLK0.8204460.5747670.4319330.4805090.4545190.5051230.3439550.5176190.4875500.4529980.6448170.4421511.0000000.7755320.5733210.624727
TROW0.8000110.6185540.4096160.4463150.4110060.5355800.3360510.4828990.4497160.4639540.6205360.4871090.7755321.0000000.5316810.531371
UNH0.7082310.4623370.3781670.4099630.3225090.5055400.3374980.4265610.4696920.3969610.5640420.4195670.5733210.5316811.0000000.496914
PPG0.6986290.4657080.3715280.3817510.3867160.3944580.2369550.3976260.4055840.3558630.4883880.3242100.6247270.5313710.4969141.000000
\n", + "
" + ], + "text/plain": [ + " SP500 ORCL SQ NVDA BABA PFE NFLX \\\n", + "SP500 1.000000 0.717214 0.567302 0.619705 0.550555 0.630865 0.477013 \n", + "ORCL 0.717214 1.000000 0.386958 0.440505 0.401409 0.489646 0.368666 \n", + "SQ 0.567302 0.386958 1.000000 0.497670 0.435255 0.266798 0.406967 \n", + "NVDA 0.619705 0.440505 0.497670 1.000000 0.511204 0.302971 0.432834 \n", + "BABA 0.550555 0.401409 0.435255 0.511204 1.000000 0.271929 0.424142 \n", + "PFE 0.630865 0.489646 0.266798 0.302971 0.271929 1.000000 0.255231 \n", + "NFLX 0.477013 0.368666 0.406967 0.432834 0.424142 0.255231 1.000000 \n", + "CRM 0.661607 0.519628 0.522806 0.518064 0.459182 0.343271 0.517518 \n", + "AMT 0.610404 0.449295 0.308892 0.317262 0.256468 0.426877 0.224412 \n", + "FB 0.632176 0.457322 0.436800 0.483370 0.471006 0.324569 0.472848 \n", + "MSFT 0.835836 0.646769 0.543734 0.605723 0.543635 0.485601 0.524701 \n", + "COST 0.585711 0.426380 0.292254 0.358869 0.267241 0.412793 0.312532 \n", + "BLK 0.820446 0.574767 0.431933 0.480509 0.454519 0.505123 0.343955 \n", + "TROW 0.800011 0.618554 0.409616 0.446315 0.411006 0.535580 0.336051 \n", + "UNH 0.708231 0.462337 0.378167 0.409963 0.322509 0.505540 0.337498 \n", + "PPG 0.698629 0.465708 0.371528 0.381751 0.386716 0.394458 0.236955 \n", + "\n", + " CRM AMT FB MSFT COST BLK TROW \\\n", + "SP500 0.661607 0.610404 0.632176 0.835836 0.585711 0.820446 0.800011 \n", + "ORCL 0.519628 0.449295 0.457322 0.646769 0.426380 0.574767 0.618554 \n", + "SQ 0.522806 0.308892 0.436800 0.543734 0.292254 0.431933 0.409616 \n", + "NVDA 0.518064 0.317262 0.483370 0.605723 0.358869 0.480509 0.446315 \n", + "BABA 0.459182 0.256468 0.471006 0.543635 0.267241 0.454519 0.411006 \n", + "PFE 0.343271 0.426877 0.324569 0.485601 0.412793 0.505123 0.535580 \n", + "NFLX 0.517518 0.224412 0.472848 0.524701 0.312532 0.343955 0.336051 \n", + "CRM 1.000000 0.385774 0.559551 0.689552 0.362922 0.517619 0.482899 \n", + "AMT 0.385774 1.000000 0.354050 0.499342 0.375531 0.487550 0.449716 \n", + "FB 0.559551 0.354050 1.000000 0.629071 0.333109 0.452998 0.463954 \n", + "MSFT 0.689552 0.499342 0.629071 1.000000 0.534779 0.644817 0.620536 \n", + "COST 0.362922 0.375531 0.333109 0.534779 1.000000 0.442151 0.487109 \n", + "BLK 0.517619 0.487550 0.452998 0.644817 0.442151 1.000000 0.775532 \n", + "TROW 0.482899 0.449716 0.463954 0.620536 0.487109 0.775532 1.000000 \n", + "UNH 0.426561 0.469692 0.396961 0.564042 0.419567 0.573321 0.531681 \n", + "PPG 0.397626 0.405584 0.355863 0.488388 0.324210 0.624727 0.531371 \n", + "\n", + " UNH PPG \n", + "SP500 0.708231 0.698629 \n", + "ORCL 0.462337 0.465708 \n", + "SQ 0.378167 0.371528 \n", + "NVDA 0.409963 0.381751 \n", + "BABA 0.322509 0.386716 \n", + "PFE 0.505540 0.394458 \n", + "NFLX 0.337498 0.236955 \n", + "CRM 0.426561 0.397626 \n", + "AMT 0.469692 0.405584 \n", + "FB 0.396961 0.355863 \n", + "MSFT 0.564042 0.488388 \n", + "COST 0.419567 0.324210 \n", + "BLK 0.573321 0.624727 \n", + "TROW 0.531681 0.531371 \n", + "UNH 1.000000 0.496914 \n", + "PPG 0.496914 1.000000 " + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "correlation_of_final_positions= Core_returns.corr()\n", + "correlation_of_final_positions" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#Visualization of the Correlations\n", + "\n", + "plt.subplots(figsize=(20,15))\n", + "sns.heatmap(correlation_of_final_positions);" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2015-11-20 0.006532\n", + "2015-11-23 -0.003925\n", + "2015-11-24 -0.000940\n", + "2015-11-25 0.002003\n", + "2015-11-27 0.001257\n", + "dtype: float64" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Use the `dot` function to multiply the weights by each stock's daily return to get the portfolio daily return\n", + "weights = [0.40,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,]\n", + "core_portfolio_returns = Core_returns.dot(weights)\n", + "core_portfolio_returns.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + " # plot the daily portfolio returns\n", + "core_portfolio_returns.plot(figsize=(20,10), title=\"Daily Portfolio return\"); " + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2015-11-20 0.006532\n", + "2015-11-23 0.002581\n", + "2015-11-24 0.001639\n", + "2015-11-25 0.003645\n", + "2015-11-27 0.004906\n", + " ... \n", + "2020-09-25 1.474158\n", + "2020-09-28 1.508525\n", + "2020-09-29 1.507425\n", + "2020-09-30 1.536714\n", + "2020-10-01 1.555398\n", + "Length: 1224, dtype: float64" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Calculating Cumulative Product\n", + "core_cumulative_returns = (1 + core_portfolio_returns).cumprod() - 1\n", + "core_cumulative_returns" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SP500
2015-11-200.003810
2015-11-23-0.001235
2015-11-240.001222
2015-11-25-0.000129
2015-11-270.000594
......
2020-09-250.015977
2020-09-280.016111
2020-09-29-0.004813
2020-09-300.008254
2020-10-010.005293
\n", + "

1224 rows × 1 columns

\n", + "
" + ], + "text/plain": [ + " SP500\n", + "2015-11-20 0.003810\n", + "2015-11-23 -0.001235\n", + "2015-11-24 0.001222\n", + "2015-11-25 -0.000129\n", + "2015-11-27 0.000594\n", + "... ...\n", + "2020-09-25 0.015977\n", + "2020-09-28 0.016111\n", + "2020-09-29 -0.004813\n", + "2020-09-30 0.008254\n", + "2020-10-01 0.005293\n", + "\n", + "[1224 rows x 1 columns]" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#SP500 daily returns\n", + "\n", + "SP500_daily_returns= Core_returns.drop(columns=['AMT', 'ORCL', 'PPG', 'COST', 'MSFT', 'UNH', 'TROW', 'BLK', 'NVDA', 'FB', 'BABA', 'CRM', 'PFE', 'NFLX', 'SQ'])\n", + "\n", + "SP500_daily_returns" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SP500
2015-11-200.003810
2015-11-230.002571
2015-11-240.003796
2015-11-250.003666
2015-11-270.004262
......
2020-09-250.584853
2020-09-280.610386
2020-09-290.602636
2020-09-300.615864
2020-10-010.624416
\n", + "

1224 rows × 1 columns

\n", + "
" + ], + "text/plain": [ + " SP500\n", + "2015-11-20 0.003810\n", + "2015-11-23 0.002571\n", + "2015-11-24 0.003796\n", + "2015-11-25 0.003666\n", + "2015-11-27 0.004262\n", + "... ...\n", + "2020-09-25 0.584853\n", + "2020-09-28 0.610386\n", + "2020-09-29 0.602636\n", + "2020-09-30 0.615864\n", + "2020-10-01 0.624416\n", + "\n", + "[1224 rows x 1 columns]" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Calculating Cumulative Product for SP500\n", + "Sp500_cumulative_returns = (1 + SP500_daily_returns).cumprod() - 1\n", + "Sp500_cumulative_returns" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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AAAAAOBnhWELxpFVbyKkESqRSBV5RcSAEAgAAAAAAReVf7nhej+1vk9ftNDhRCTQ+hEAAAAAAAKCoHGwLq7knmn1srZRMWbmZDTQqZgIBAAAAAICi0tId0Zq55fK6TXZnMFrCxkYIBAAAAAAAioa1Vi29UW1a3aAHPrFJH9q0QpKUSNISNhZCIAAAAAAAUDQ6w3HFk1YN5X4tqgmq1O9MuiEEGhshEAAAAAAAKBot6W3h68v9kiSv25kDRDvY2AiBAAAAAABA0djX3CtJmlcZkCR5XOwQNl6EQAAAAAAAoGjc8fRRNZT7tX5RlSTJ48pUAhECjYUQCAAAAAAAFI3dTd26YEWtPG4n0vBk2sGStIONhRAIAAAAAAAUje6+hKpKvNnHbiqBxo0QCAAAAAAAFIVUyqo7EldlTgjkTVcEsTvY2AiBAAAAAABAUeiNJWStVJETAmVmAsVpBxsTIRAAAAAAACgKXeG4JKkikBMCpWcCJWkHGxMhEAAAAAAAKArdkXQINKASKLNFPJVAYyEEAgAAAAAARaGrLxMCebLHSv1uSVJvNFmQNRUTQiAAAAAAAFAUuvsSkga2g1UHfZKkjlCsIGsqJoRAAAAAAACgKHSnK4FydwerKXVCoDZCoDERAgEAAAAAgKKwv7VXXrfRnIpA9lhFwCu3y1AJNA6EQAAAAAAAoCi8eKxbp80pl8/TH2e4XEbVQS+VQONACAQAAAAAAKY9a61eONqlM+dXDjlXU+qjEmgcCIEAAAAAAMC0d7wroo5wXGsXVAw5Vx30qZ0QaEyEQAAAAAAAYNp74WiXJGntMJVAdWV+tfZGp3pJRYcQCAAAAAAATHs7jnXLGOn0eeVDztWX+9VCCDQmQiAAAAAAADDt7TjWpRX1ZQr6PEPO1Zf71RNJKBJPFmBlxYMQCAAAAAAATHs7jnVr7fyh84Akqb7ML0lq6aEaaDSEQAAAAAAAYFpr643qeFdk2J3BJKcSSJKaCYFGRQgEAAAAAACmtR3HuiVp5EqgciqBxoMQCAAAAAAATGsvHBt5ZzBJasiEQL1RbTvUrn3NPZKk/912REuv/526wvGpWeg0RwgEAAAAAACmtR3HurWwukSVQe+w52tKfTLGqQR62y2P6/KvbpYkfXfzAUnSvpbeKVvrdEYIBAAAAAAApiVrrbr64nq+sUtnLRi+CkiSPG6Xakt9Q9rBPG4n9jjSHp7UdRYLQiAAAAAAwKzW1RenXWiauuXhAzr78/fpcHtYZy0cOQSSpLoyv1p6IgOOmfR/H2wNTdIKiwshEAAAAABgVrvgi3/S2TfcV+hlYBhfu39P9ud1C6pGvba+3D+kEiizW9hLbYRAEiEQAAAAAGCW2XaoXV/+w2595b7dSqaswrGkJKf1CIX3vUcO6NfPNGp/S6+iiVT2+JkLht8ZLKOhPDAgBOqNJtTa6zxuC8VGfN62Q+264It/0vYjnae48unPU+gFAAAAAAAwld52y+PZn4939bcPHe3s08LqYCGWhBxf+N1OSdKaueWqLPGqq89p1asK+kZ9Xn25P1v5I0n7m/uHQbePEgIdbg/reFdEFYGZH5FQCQQAAAAAmJXmVwb0y6cas4/3NrGD1HSy60SP/uOqs1Xu92jDkuoxr68v9yuR6q/m2p/eEexli6vUMUoIdKS9T5I0v6rkFFc8/RECAQAAAABmDWutvG6jsxdV6eF/vERXbViUPZdpHUJh+TxOVHHjW87UpWvm6KnPvFo/+8D5Yz6vvtw/4PG+5l55XEbrF1WpPTxyCNTYEVZDuV8Br/vUFl4ECIEAAAAAALNGeyimeNLqzevny+t26d/eepZ++tfnSZK6I4kCrw6plFU8mdLHLl2pa89bIskJhbzuseOL+rKBIdD+ll4tqQ2qoTygSDylvvTsp8EaO/q0qGZ2tAESAgEAAAAAZo2mbqfaZ25FQJLkdhmdt6xWktTdxzbxhZRMWX3mrhdkrVTqP/n5PA0VA0OgvU29WtlQpppSrySNWA10rKtvVrSCSYRAAAAAAIBZ5HB7WJLUkA6BJCcIKvd71EMlUEF988F9+smWw5Kk4ARCoMHtYAdaQ1pRX6bq9EDp9t7hQ6C23pjqykYfOj1TEAIBAAAAAGaNu7YfVXXQO2S78fKAR90RKoEKZcuBNn3t/j3Zx6W+k5/PU+73yO8ZGHOsbChTZYlTCdQ1TKXX/S82qTeaUM0YO4/NFIRAAAAAAIBZIRJP6oFdzXrT+gXyewaGDBUlXtrBCuREV0Tv/9E2Lc6ZyxP0nXwlkDFmSDXQivoyVaRDoJ5BIV8kntT7f7RNklRDJRAAAAAAAMXvRFdEp336Hn3rof2KJlJ61er6IddUBLy0gxXI9iMd6okk9MW3rlNNqRPGlE2gHUwa2hK2oqFM5QHnXoN/v0c7+7I/15YSAmUZY15njNltjNlnjLl+hGs2GWO2G2N2GGMezu8yAQAAAACYmAd2NSuWSOnrf9orn8el89ODoHPRDlY4J7oikqRVc8oUSLdzBf0T2669YVAIVOb3qDzgVAIN/v02dvSHQDWlA583U40ZrRlj3JK+KenVkholbTXG3G2tfTHnmipJ35L0OmvtYWNMw2QtGAAAAACAk5EZBi1J5y6tUckw82YqSrza29w7lctC2onuqLxuo5qgTwGv87sp8U4sBMqtBHrX+c4W8+V+j4yRugdVAh3J+bvI7CA2042nvupcSfustQckyRhzu6Q3SXox55prJN1hrT0sSdba5nwvFAAAAACAidh5vDv788Wn1Q17DZVAhdPUHVFDeUAul9GC6hIdaA3JZcyE7lVf5uz69usPv0IvW1wtSXK5jMp8niEzgXIrgTLPm+nG0w62QNKRnMeN6WO5TpNUbYx5yBjzlDHm3flaIAAAAAAAg93xdKPee9uT6gwPv+13ro6cay5aNXQekNQ/E8ham7c1YnxOdEU0t9IJYb521Xp95i/O0GlzyiZ0r3WLKlVf7teaucPs/tY3qBKoI6yltUHtvOF1qgzOjkqg8YRAw8Vvg/+p8Eg6R9IbJb1W0meMMacNuZExHzDGbDPGbGtpaTnpxQIAAAAAIEm/fe64Htzdomu+u0V7mnr07u8/qX3NPcNemxkIvKK+VGvmlg97TXnAo2TKKhxLTtqaMbym7ojmVjghUG2ZX3/1ymUyE6wEumR1g7Z+6vIhLX8VJd5hK4EW1QSHbQ+cqcYTAjVKWpTzeKGkY8Ncc6+1NmStbZW0WdLZg29krb3VWrvBWruhvn749BUAAAAAgLHsPtGj0+aUaV9Lr17zH5u1eU+LHtw1fLFBd19c7zx3se79+MUjhguZbcRpCZta1lqd6I5oTsXktmOVBzxDdgdrbA9rYXXJpL7udDOeEGirpFXGmGXGGJ+kqyXdPeiauyRdZIzxGGOCks6TtDO/SwUAAAAAQOqJxHW0s09vWr9A33/PRq1qcFqH4qnUkGutteqJJFRR4pHXPfJX4Ir0DlJsEz+1eqMJhWNJza2c3N25qoI+tYWiiiVS2tvUo3AsobZQTAurg5P6utPNmCGQtTYh6aOS/iAn2Plfa+0OY8zfGGP+Jn3NTkn3SnpO0pOSvmetfWHylg0AAAAAmK2OtDsDfZfVleqVq+r0x79/lfwelzrDQ6t4oomUYslUNuQZSXnA2Tepu49KoKnU1O1sDz/ZlUAr6st0sDWkT/36eb36PzbrmcOdkjTrKoHGszuYrLW/l/T7QcduGfT4Zkk3529pAAAAAAAM1R5yBj3Xlvqyx6qDPnWEhg6JzrR3VQRG//pLO1hhnOiKSpr8EGjN3HLFk1a/eKpRkrS3yZkfRSUQAAAAAADTWFvICQ5qy/pDoKqgVx3DVAJl2rsyIc9IMpVAtINNreNdTlXX3EkOgVYPGgj+UntYkrSoZnZVAhECAQAAAACKSqYSqKa0f45MddA37Hbxmfau8rEqgdLtYrSDTa09TT3ye1yT3pa1or5MHlf/UPD9LSH5PS7Vl03uLKLphhAIAAAAAFBU2kMxuYxUlVPdU1PqU8cwIVC2Emi8M4GoBJpSO451a83ccnlGGdqdDz6PS8vrS7OPD7T0akF1yYS3oi9WhEAAAAAAgKLSHoqpOuiTK6eyo7rUq7ZhZgL1Rp1Qp9Q/eiVQwOuWz+NiJtAUSqWsdhzr1hnzK6bk9VbP7X+dlp6oqoO+Ua6emQiBAAAAAABF40BLr/Y29aqmdOAX+PlVJeoMxxWKDqzkyTwu9Y29L1JFwKvuPiqBpsoLx7rU1RfXectqp+T1Vs8py/4cTaQU9Lmn5HWnE0IgAAAAAEBRSKasLv3Kw3ryUPuA1h5JWpTe5elIhzPwt7U3Kmut+uJJSVLQP/YX/oqARz1UAk2ZB3e1yBjp4tPqp+T1ciuBJKnESwgEAAAAAMC09GxjZ/bnN5w1b8C5xTVOCHS4LaznG7u04Qv3687tRxWKOiHQeCqByku8zASaQg/tada6hVVDqromy5pBO4SN1SI4ExECAQAAAACKwoO7miVJ//aWs3TFuvkDzi3KhEDtYX3lj7slSbtO9CgcS8gYKeAd++tvRcDD7mCToK03OmTWUnsopu1HOnXJ6qmpApKkBVUlqs0JnEpoBwMAAAAAYHrpicR1+Vcf1n89sE/nLq3RNectHjAUWpKqg16V+tz6yZbDemh3iyRpXkVAoWhSpT7PuHaBqgh4aQebBOd84X5d+uWHBhx7ZG+LrJU2rW6YsnW4XEa//vCF2cdB2sEAAAAAAJhenj/apX3NvZKkS08fPjQwxmhRTVAHW0PZY9FESuFYYtwDgCtKPLSD5Zm1VpLU2jtw57ZH9raqptSndQsqp3Q9/pyKMAZDAwAAAAAwzXSF+6tzLlszcuVIpiUsoy+eVDiWHPeX/fKAl3awPBspVDvSHtaK+tIhFV2Tzefuj0FKxjEnaqYhBAIAAAAATGsnuiOSnMG+KxvKRrwus0OYy0het0mHQAkFx/llvyLgUTSRUjSRPPVFQ5J0tKNv2OOtvVHVl/uneDWSz0MlEAAAAAAA00YimdJX/7hHrb1RSU4I5HO7dM/fXTTqbJ9FNSWSpMoSr4I+jyKxpDMTaBzbw0tSRYlXktRDS1jeHO0cGgJ95+H92t8SUl3Z1IdAfk9uJRAhEAAAAAAABfXc0S59/U979YcdJyRJzd1RNVT4xxzunNkmviroU4nXfdKVQOUB5zpCoPx54kDbkGNfvGeXJBUkBPK4qQQCAAAAAGDa2NvUI8kJfyTpWGef5lYExnxeZiZQRYlXJT63IvGUQrGTqAQKOJVAzAXKj2TK6ldPN2YfxxKpAeerc7ZrLwRCIAAAAAAACmxvk7MTWHNPVLc8vF9bDrZrSW3pmM9bWO20g1WVeBXwuhWKJtTUHVFVcHxhQ3kmBGKb+LzYebxbneG4Xra4SpIUig6ssOqLFbbiqsQ7+wZDz753DAAAAACYdnqjCbmNUYnPrT3p7eAf2t2s413OUOiltcHRni5JCvo8aij3q7bUp+5IXFsPtasnktCFK+rGtYaKEtrB8inTCnb56XP0zOFO9UYTKvX3xxBvffnCQi1NUn9oOJtQCQQAAAAAKKjjXX16+Q1/1CVffkjxZEr70u1gmQBIkuaMox1Mkr557cv1sctWqcTrVnckIbfL6JWrxhkC0Q6WV08caNfS2mB2R7euvriu/MafJUmfveKMgswEykUIBAAAAADAFHtod4tiyZROdEd07wsndCwn/Ll64yJJ0rpFleO618alNVpaV6oSrzPv5ZzF1apM7/o1lsxg6NnUDtYbTSieTI194UlKpay2HmrXectqVZ6u/tlysF27TjgBX6b1rlCW1ZWOOWh8JqIdDAAAAABQUI/sbVFtqU9Ja3XzH3ZLkt7/ymUq9Xv08ctX6YY3nSmf5+RqGALpob+b1tSP+zmlPo9cZva0g1lr9dr/2Kx3bFikv7t8VV7vvfNEt7r64jp/RY3qy52Kn19sO5I9X+YvXBzx4g2vlWsWBkASIRAAAAAAoICSKatH97Xp1WfMUcDr0v88cViS9N5XLtOCKqddx+c5+S/smUqgTac1jPs5LpdRmd8za9rBTnRHdLSzT/taevN6319sO6I7nj4qSU4lULrCKlMFJL1JqhMAACAASURBVEkVgcLFEUHf7I1CZu87BwAAAAAUTFdfXLc8vF/ffmi/JOmiVXVaWF2SDYEyAdBEragv05q55Tp9XvlJPa/M71FvNHlKr10sMqFMW280r/f95C+fkyQtqinR/PTvsdzvUU/O7mBlBQyBZjM+dQAAAADAlPvP+/fqtscO6rI1DVrZUKbXnDFXAa9LLiNddvqcU77/hzat0AcvXn7Sc198HpcSqfzPyJmOdqdDoNY8h0AZL19cnf15XlVAPU39FUeztR2r0AiBAAAAAABTbndTt9YtrNJ/X7dxwPEdn3+dPO78BAQu18nfx+t2Tcqg5OmoPwSK5e2eiZzPbnldWfbneZUlOt4V0fev26gbf7czu2MYphYhEAAAAABgyh1oCemC5bVDjpekBzoXitftUixhC7qGqZJpB+sIx5RIpuRxn/oG4l3peUo1pT799cXLssf/9tKVau2NaePSGt35kQtP+XUwMYRAAAAAAIApFY4ldLwromV1pYVeyhBet5kVlUDxZEr7m3tVHvCoJ5JQeyimhorAKd+3I+yEQJ+94owBA5g3LK055Xvj1J16zAcAAAAAwEk41BqWJC2vn34tQbOlHexQa0ixZEoXraqTJB3riuTlvh1hp7WsptSXl/shvwiBAAAAAABT6kCrMyB4elYCzY4QKNMK9uoznCHcR9rDeblve8gJgaqDhEDTESEQAAAAAGBKHWwJSZKW1gULvJKhvB6XYsmZPxNoT1OP3C6jTac1SJIO5ykE6kxXAlUFvXm5H/KLmUAAAAAAgCnzpXt36dsP7ZfLaMDMmOnC5zYDdriaqV5qC2tBVYmqS32qK/PlrRKoJ5KQJJUHCIGmo+n3TxwAAAAAYEbqjsT13c0HVB7w6KOXrCz0coY1W9rBIvGkgumd2OZUBNTUfWozgRLJlBIpq1A0KUkq8xM3TEf8VgAAAAAAU+KRPa1KpKxuu27jtN0tygmBZn47WCyZks/jTIjxuF1KpE7tPd/w2xe141i3Xr64SiVet9wuk49lIs+YCQQAAAAAmBJ/2tmkqqBXL1tcXeiljMjrdimWmPmVQLFESj53OgRyGaXsxEKgG37zoh7Z26IDLSE99VKHjnVGVBag3mS64jcDAAAAAJh0yZTVg7ubdcnqhmldJeJ1m1nRDhZL9FcCuY1RcgKVQF3huL7/6EFFE0l19jkDoR/d38rOYNMYlUAAAAAAgEn3zOEOdYTjunRNQ6GXMqrZMhMotx3M5ZJSE3jLu050S5L2NvXqUKszWLozHGce0DTGbwYAAAAAMKm6I3G97ZbHJUkXn1Zf4NWMbtbMBMppB3O7Jlb9tOtEjyTpyUPtA44TAk1fVAIBAAAAACbV4TanSuSqDYtUWTK9tw73eoxis6ESKKcdzDXBdrCdx7uHPV5KCDRtEQIBAAAAACZVa29UkvT2DQsLvJKx+dLtYHaCg5KLRTR3JtAEB0PvTFcCZaxbWClJKmcw9LRFCAQAAAAAOCXRRFJ9seSI59tDztDg2jL/VC1pwrxul6zVhCpjikk0kZL/FAZDJ1NWewaFQOsXVUmSSv3u/CwSeUcIBAAAAAA4Jdf/6nm987tPjHg+EwLVlE7/XaO86Tk5iRkeAsUSyexMIJfr5EOgw+1h9cUHBn8N5X5dsrpeG5fW5G2dyC9qtAAAAAAAp+Splzp0uD2s3Sd6tHpuuSRn5kwomlB1qU+tvTF53UYVRdAm5HU729fHkikFvDO3oiV3dzC3Ofl2sMw8oIqAR92RhOrL/XrX+Uv10UtX5X2tyB8qgQAAAAAAExaOJXS43Rn8fOf2o9nj33hwny6++UE1doTVHoqqptQnY0yhljlumWAknpjZw6Fjg2YCnWwl0K7j3XIZ6fIz5kiSbrtuoyqD03voNwiBAAAAAACnYE9TrySp1OfW3duPZQcqH2kPqyeS0PW/el4nuqOqLZ3+84AkyeNKh0AzeJv4RDKllJV8bqfSyeUyOtnut50nerSsrlQ3vvks3fquc3TmgspJWCnyjRAIAAAAADBhj+5rlST91UXLdbSzTy+lt4NvD8XkcRn9eV+rNu9p0VlFEhJk2sHiM3ib+Fj6vfW3g538IOydx7t1+rwKlfjces3auXlfIyYHIRAAAAAAYMIe2NWssxZU6sqz50uSnjjQJknqCMd04co6vXJlnSTpvOXFMSw4E4zEckKgSHz03c+KTSwxMAQabTB0OJbQ3c8eG3CsOxJXY0efTp9XMbkLRd4RAgEAAAAAJqQ9FNPThzt06ZoGragvVV2ZPxsCtYdiqi316ea3r9PVGxfpstPnFHi145PZHSyWMxNo3efv09rP3luoJeVd5r35xzEY+h9+8aw+9rNntLepfzv4zM+r55RP8kqRb4RAAAAAAIBxC0UTSqWrRh7a3SxrpctPnyNjjM5bXqMtB9tlrVVHKKbqUp/mVZbopr9cp8qS4hgaXFfmzC460RXJHoslUic9M2c6298SkqRhB0Pva+7VB360TeFYQpL02P62oc9vdp6/ak7ZVCwXeUQIBAAAAAAY06P7WvW6r23WmZ/7g17/n4+oJxLXn3Y1q6Hcr7Xznbag85fV6HhXRHubexWKJVVT6ivwqk/e6fOc6pYX01ugz0Tv/O4TkvorgXLbwb754D7d92KT7nn+hCSpMxyXJEVzKqP2t/bK6zZaUFUylctGHhACAQAAAADG9NvnjuultrDecOY87W7q0QO7mrV5d4suXdMgl8sZpnz+8lpJ0q+fcbaKL8YQqDzg1ZLaoHYc6yr0UiadO/17cxujZLodbFFNUJJ0y8P7BwzHzp2RdLAlpCW1pfK4iRSKDb8xAAAAAMCYWnqiWlpXqq+842y5XUY/fOyQeqIJXbqmIXvNyoYy1Zb69O2H9svtMtmh0MVmQVWJmrujhV7GpDvW2SdpYDtYwOvEBHube/Wle3Zlr82dkXSgNaRldaVTuFLkCyEQAAAAAGBMLb1R1Zf7FfC6taqhTE8f7pTP49IrV/UHPcYYLa93woFzllRnq0qKjcftUmImDQEawZvWL5DkhECZOU+RnF3QfrLlcPbnTAiUSKb0Ulso+3tGcSEEAgAAAACMqbUnqvr00ORM29fqOeUK+jwDrptb6cyJWVhdvPNiPKNsmV7sEum2rv97+WmaUxGQlK4ESreD9cWTCnhdKvG61RdPammtE+RlQqDGjj7Fk1Yr6hgKXYwIgQAAAAAAo7LWqqXHqQSSpPdduEzGSB+9dOWQazNB0bzKwJSuMZ/cLjNjK4FCUafSpyzQH965jFEq3e3VF08q6PNoUY0T4r3lZQsl9c8EOtjq7Ay2jEqgokQIBAAAAAAYVUtPVLFkKhsCLa4Nav+Nb9Br184dcm1mVvDgCqFi4nUbJVOpsS8sQj1RZ7evcn//78ftUn8lUCylEq9bi2uCCvrcevUZcyRJ0YQTHp3ojkgSO4MVqeL9pxIAAAAAMGke29equ589pk+8ZrU+8tOn5XUbnbu0Jns+syPYYAGvW1L/9uPFyO2auTOBMpVApbkhkOlvf4uk28E+fvlpuva8qCpKnOsy7WChaGLI81E8+K0BAAAAAIa4ZfMBbd7Tot89d1w90YS+/s6X6ayFlWM+7/0XLVd3X1zvPHfxFKxycnhcRomkE4r8n+9tKfBq8qs3XQk0oB0sHeilUlaReFIlPrfOXOD8rlt6nF3S+kOgdIjkc0/ZmpE/xRvNAgAAAAAmRSSe1JYDbTp3WY2S1ur85TW68uz543puZYlXn3/TmUVdKZK7ZfrzR7sKvJr86ok4lTxlgyqBJKclrC+eVIm3P+DxpSu67nuxSamUVTiWkN/jksdNnFCMivefSgAAAABA3llrtfVQu6KJlD70qhVau6Ai2+I1W3hcRolUStbabPuTJCVTVu4R2uCKRaaSp3yYSqBkygmBcgOiTFvfI3tbdfvWIwrFEkUd8M12/OYAAAAAAJKcEOC6257UI3tb5XO7dN7ymqIe8DxRHrdTCRRNpAbMBoonU3K7ijsQ6wjHJEkVAW/2WCbYSlmrvlhSdekd3iTJl1Px09wTUTiaVJBWsKJF/RYAAAAAQJJ0+9bDemRvqyTptWfOnZUBkCR50oOhw7HkgOMzYVh0a68z46e2zJc9lm0Hy8wEyqn8yh0AHvC6nUqgWfp3MRPwmwMAAAAAqCMU081/2K0NS6r1N69aoYtOqyv0kgrG7TJKJge2gklSPJGS/CM8qUi09cZUFfTKm1Ph0z8YWkNmAuUKeFwKRZMq9VMJVKwIgQAAAAAA+vETL6mrL64vvOVMrZlbUejlFJTHZRRPpdQ7OARKpQq0ovxp7Y0OaPeSJHe62CeRSqk3klDJCO1eXo9LoVhiwMwgFBfawQAAAAAAauwIq6HcP+sDIKl/d7BwbFAIlJwZ7WB1Oa1gUv9MoJ3HexSKJbV2/vB/A/FEiplARY4QCAAAAACg9lBc1UHf2BfOAs7uYFa90UEzgZIzoRIoptpBlUCZdrDNe1skSa9cNXwrYCyZYiZQkSMEAgAAAACoMxwjBErzuF2yVuqJxAccL/ZKoKOdfTra0acFVSUDjmcGQz+8u0Ur6ks1r7JkuKcrGk8pHEuyRXwRIwQCAAAAAKg9HFNNKSGQ1N8e1dU3OAQq7kqgG3/3olwu6T2vWDrgeKYSaHdTj165cuSB4N2RuBMW8ndStAiBAAAAAGCW+5dfP68DLSFVBb2FXsq04BkhBEoUcSXQY/ta9fvnT+jDm1YOqQTy5GwDf+EwIdAP3rtRkrSnqVcpK62oL53cxWLSEAIBAAAAwCwWiSf10y2HJUl+DwN/pZErgWJFXAn04ydeUkO5Xx+4ePmQc+6cEOj8FbVDzm9a3aCqoFc7j3dLklbUl03eQjGpCIEAAAAAYJay1upVNz+YfXy8q6+Aq5k+MpUx3UMqgYozBDrRFdGWg+06e1GVAt6hQZ/L9IdAFYHhq8H8Hpeae6KSpGV1VAIVK6Y5AQAAAMAstfVQh5q6nS/2y+tL9bHLVhV4RdODx+3US3T3DdwiPpEqznaw87/4J0nO73g4mUqgslEGPmeqxOZWBBgMXcT4zQEAAADALPWzJw+r3O/Rlk9dpiDbfmeNNBOomNvBJKmyZPgqn0wlUNA3cjugz+MEYyMFSSgOtIMBAAAAwDjsOtGtG3/3otpDsUIvJS86wzH97vnjesvLFxAADTLSTKBiHQydeT9vXr9g1POjVfj4CYFmBEIgAAAAABiDtVa/3Nao7z5yUK//z8166qWOQi/plN35zFHFEim989zFhV7KtONxj1AJlCjOSqASr1vvvXCp5g/aFSwj3f2mkmHmBWVkQ6A6hkIXM0IgAAAAABjDB3/8lL7354OqKfXJ43LpM3e+UOglnbKthzq0qKZEp8+rKPRSph23y/mqPDgE6osnC7GcU2KtVSiWGHXeT6YdrNRPO9hMRwgEAAAAAJL2NPXo//58u97131v0ky0vDTh334tNkqTFNUH9n/OX6MXj3TrRFSnEMvNm5/FunT6XAGg4I80E6oslhrt8WgvHkrJ29FYvm+5yG60tMDMYmu3hixshEAAAAABI+vnWI7r72WN64WiXvrv5QPa4tf1zYJIpq/OX10iSnmvsnLS1WGv1862HdbgtPCn3D8cSOtgWogpoBJkQaLBwrPgqgUJRJ7gaLQTKvK/RBkP7PS75PK4RW8pQHJj+BQAAAACS9jb3as3ccl1x9nzddM8utYdiqin1qaUnmr2mL55UfblfktQRnrwB0TuOdeuffvW8JOmx6y/VV/+4R883dumLf3mWXr64+pTu/e/37tLWQ+2yVjovHWhhoMxMoMGKMQTqTYdA5aOGQM41o1UCLa8vU188mR0ijeJECAQAAAAAkvY392rj0mqtX1QlSXq2sVOXrG7QoZxqnBX1paoO+iRJHeH4sPfJh8f2t2Z/ftM3H80GUQ/uaj6lEKgjFNO3HtovSVpYXaLzl9We2kJnqMxMoMGKcSZQKOqseTyVQKPNBLr+9WsGVMWhOBECAQAAAJiVkimbrWroDMd0tLNP18xZrKW1zuDbxo4+SdLxLue/P/3G0/WOjYsU9Lnl87gmtRJo+5FOLa0N6l0XLNX/++2LqivzKejz6EBLaEL3S6asbt18QKmcL/EXLK+Vi6qOYeW2g330kpVaVFOim+7ZlW2tKia92XawkQOeK86er18/c1QfuHj5qPcyhr+XYkcIBAAAAGDW+cp9u/WDxw7poX/YpNoyf3bw80Wr6rLtXp+58wWd1lCWHQB99bmLszssVQe96ghNXgh0rDOihdVBvfcVS7XjWJeW15XqqZc6tK+5V92RuMr9nnF/IT/YGtIlX35oyPGXnWJb2UyW2/JUU+rTVRsX6+t/2qe+ImwHywRXo+0OVlPq050fuXCqloQCYjA0AAAAgFnnru3H1BNJ6MM/eVqplNXmPS2aWxHQWQsqBwQA//zr53W8K6Jyv2fAl+jqoG9S28GauyOaUxGQy2X01Xes10cvXaVVc8q1u6lH6z53nz7/mxfHfa/tRzoGPH7/K5fptvdu1NUbF+V72TOGN2cmUKaCJuhzF+VMoMwOZ6O1g2H24K8AAAAAwKyTCXS2HGzXA7uataepR2vnVwyprqkr9et4V5/mVgYGHK8O+tQ5Se1gqZRVc09Ucyr8A45/8OLlWlpbqu/9+YAe3deqpnRQNJZYIjXg8RvXzaMKaAy5M4Ey4UnQ71G4CGcCPdvYqaDPrcU1wUIvBdMAlUAAAAAAZp3mnqjeds5CLawu0X89uE8HW0NaNac8e35htbMNdktvVE8caNfSutIBz68u9ap9ktrBWkNRJVJ2SPBUW+bXNect1tr5ldrb3Kvz/u1P4xrUm6lY+srbz9Zr187JDr7GyHJnAmVDIK9bfbHimwm05UC7zllSLa+br/8gBAIAAAAwyySSKbWFoppfGdBfX7Rczx7pVDxpddqcsuw1d33kQm1YUq2DrSGlrNW/vOH0AfeoCvrUmed2sEf3ter9P9ym9/9wmySpoXz4Kp/aUl/25x3HutUVjme3+B5ORygmn8elt758gb7zrg0M9x2H3JbA0vS26cXYDtYeiml3U4/OX84ucHAQAgEAAACYVVp7Y7JWaqgI6B0b+ufibFrdkP25tsyvS9Y0yBjp6+98mZYNqgSqCfrU2RdXKpWfLbP7Ykl98MdPafuRToWiCb3xrHnatLp+2Gszg6sl6fH9bXrrtx/Vp3/9woj37gjHVB30Ev6chNz5T5mZQCU+d9ENhn7yYJsk6bxlNQVeCaYLZgIBAAAAmFVeanO2WZ9XGVCJz627P3qh3C6jmpwKG0m67hVLdemaBp0+r2LIPaqCXiVTVj2RhCqD3lNeU0tPVL3RhD57xRl6+4bRBzaXePu3+v7RE4d0pL1PdWX+Idcdag3pod3NOtYZUXXQN+Q8Rpb7eeZWAoWKpB3sn+94XiVet1LWKuB1ad1CWgDhIAQCAAAAMKts3tsit8tow1KnOmKkL8ilfs+wAZCkbKjSEY7lJQTqjjitZRUlY98rmjPo+Uh7nySpJzI0nPifJ17S9/58UJJ0Ae1AJ6XE1x+0ZWYCBbzuIUO2p6ufPXlYkrRmbrnOWVItn4cmIDj4SwAAAAAwqzy4q0XnLKlW5TgCl5FUlzrP7cjTDmGZEKc8MPb/T/+2cxbq5YurtGGJs8NXwOvKhki5OsJxVQQ8Wr+oShesIASaqExrmM/tGhDAFYPdTT06bxm/e/QjBAIAAAAwazR1R/Ti8e4R5+2MV24lUD70ZCqBAmMHU/Xlft3x4Qv1F+vmaV5lQFeePV/dfUNDoK6+mBZWB3XnRy7Uxy5blZd1zkYBr/O12e8tvhDIWjEUGgMQAgEAAACYkX733HG19EQHHHt4d4sk6ZKcIdATkQ2BQvnZIexkKoEyrrtwmR75x0s0tyKgnmhiyJDqznBcVXloVZvtMgO1/R63kimrRHJ6B0HPHukc8PjsRZUFWgmmI0IgAAAAADNOV19cH/np09p44/0D5rg8uLtZcysCWjO3/JTuX50eIt0Wio5x5fhk2rnKx1EJlMvjdqmixCtrpZ9vO6KrvvO4oglnB6vOPkKgU/G+C5dpfmUg+zgzVyc2zUOgN33z0ezPcyr88nvco1yN2YYQCAAAAMCkstbqsf2t6o7EtftEz5S8Zmtvfzjzju88rqOdfYonU/rz3lZtWl1/ytulVwQ8Cnhdau7OTwg0kUqgjMxzHtjVrC0H2/W/W49IciqBTmXu0Wz3r1ecocf++bLsY38mBJrGLWHxQQHVFevmF2glmK4IgQAAAABMms5wTJ/432d1zXe36D3ff1Kv+8/NevFY96S/bnvImdXzznMXaW9Tjz571wt66qUO9UQT2nSKrWCS0yI0tyKgE92RU76X5MwECnhd8rpP/itaZo7Q8S5np7BvPLhPkXhSXX0xVZawNXy+ZCqBpvNcoM5wf3viuctq9E+vX1PA1WA6IgQCAAAAMCmeeqldr7jpAd3xzFFJ0jOHO2Wt9B/375n0186EQNeet0SvWFmnxo4+bTnQLmOkC1fmZ1BuQ0VATTkh0JMH2xWODd2qfTx6IomTbgXLyGwrf6wzIr/HpabuqL73yAHFk5Z2sDzKtFVF41MfAt3+5GH96qnGMa/LHVR+9cZFEwoVMbPxFwEAAAAg7/Y19+i3zx1Xylrd+/GLFPT1zyX544tNeq6xc5Rnn7pMCFRT6lNtqU9toZheag9pXkVgwmHLYHMrAmpKt4O1h2J6x3ce18dv3z6hezkh0Mm3gknKfrbtoZjOmF+hVQ1lumv7MUlSNSFQ3mTbwZLJKX/t6+94Xp/4xbNjXtcR6g+Bgr6J/T1hZiMEAgAAwJT5084mPbynpdDLwCTb39Kry7+6Wbc9ekgrG8q0Zm6F5lQ4A3aX1AZVHfTqOw8fmNQ15IZA1aU+dYRiOtwW1qKaYN5eY26l0w5mrVVf3AkGHt3XOqF7dfbFsjuOnazcL/tlfo+qS33a29wrSZpfVTKhe2KoTDtYpACVQMPpDMf0hx0ndMfTjWrucSrSOnLawUr9DITGUIRAAAAAmDJ/9cNtes/3n9QfX2waci6RTA3ZzhvFqamrv0VqZX2ZJKmh3C9JWlQd1MsWV+tIR3hS19DWG1PQ51bA61ZtqU+JlNWOY91anMcQqK7Mp1gipd5oQn3pNrBQLClrrR7e0zJky/bBjnX2ZUOjznBcVRMc4pxbZVUe8KjM3x8KLSAEyhv/NJsJdNM9u/TBHz+lv//fZ/Xth/ZLcoKhDI+Lr/sYalx/FcaY1xljdhtj9hljrh/luo3GmKQx5m35WyIAAABmgtxZKZ+58wX1RPr/H+ub7tmllZ+6RxtvvH/I7jYoPm05LSkbltZIUrYSqKbUpxKfW6HoxGbnjNfh9pDmVva/piT1xZN5DYEylTsdobjCsf4Wod8/f0Lv+f6T+tHjhyRJP3vysN5+y2O6+tbHs0FnJJ7UK256QNd+b4v2Nfc6O3lNsHWrJCcEKvN7BoRCVALlT2YmUCF3B8t97fZQTMvrStVQ7ld3n/PPU24lEP9biuGMGQIZY9ySvinp9ZLOkPROY8wZI1z3JUl/yPciAQAAUPwyW2m/+4IlauqJ6OY/7JYkbT3Urlse3p+9rq03NuzzUTwy27M/ev2luubcxZKktfMrJEm90YRKfe4BoUm+JZIpbTnQrvOWOQOgq0v726zWzKvI2+tkwqWOcEx9Oe/npfaQJOl4uiLqa/fv0dZDHXriQLt++5wzqye36u22Rw+qqy9+Cu1guSGQN1sJVFfmV8BLS1C+9O8ONvUzgTLacwLWcCypqqBX5QGPIul2xEwlkNdtdNaCyoKsEdPbeCqBzpW0z1p7wFobk3S7pDcNc93fSvqVpOY8rg8AAADTVCSe1KHW0Livb05/6X31GXP0nguW6sdPvKRfbDuiv/vZM1pQVaKvXbVekmgJmwHaemNyGWleRUAul5EkXXH2fEnSvMqAgj7PpFYC7WvpVU80ofOWOVVI9WX+7Ll1C/P3xTgTLrWHYwrH+4OB9t7MF3GXWnqi2eHRUv88me50JVx10KtfPtWo3mhiwu1gAU9OCBTwqDQdAs2t9I/0FExAdjB0ASuB2kL9f0uhWEKlfo+CPk+20rIjHNPcioD23viGAeEnkDGeEGiBpCM5jxvTx7KMMQskvUXSLflbGgAAAKazT9/5gjZ9+aEBbV2jyQwubSgP6B9eu1pel0uf/OVzOtYV0RfecqaW1DptOi29kdFugyLQFoqqptSfDYAkpy3p3o9fpH95w+kq9TuVQNaOPjNnojJB4oJqpxXqjHkVKk1Xy2Ta0vKhvx1sYCXQc0e7JDmVIzuOdQ14TiZAyLTvfPzy07IzZia6nXvu51zu92Tfa00pIVA+BbyFnwk0oBIomlTQ51aJ150dTN4eik/47wizw3j2jDPDHBv8v9Zfk/RP1tqkMcNdnr6RMR+Q9AFJWrx48XjXCAAAgGnogV1OAfiepl6ds6R6zOuPd2ZCIL/K/B7Z9L9S/tPr1uiS1Q1qTA8KphKoeDR2hPXTLYe1em65uvviuuLs+XrmSKe2HupQXdnQKoQ1c51WrKDPo0TKKpZMZees5FPmi3ImpHG5jB7/l8vUFR5fYDleNen7t4diqspp5Xr2SKckpxJox7HuAc/JtBJlKoHOWVKtV51Wr4f3tKhygu1gucoDHqXS4Vqpj1awfPK5nc9zqkOg3LA0FO0PG0OxhEp9HkXiqWwbWGd44rvMYXYYTwjUKGlRzuOFko4NumaDpNvTAVCdpDcYYxLW2jtzL7LW3irpVknasGHD5MT+AAAAmBIl6VkjzxzuGDEE+vSdz+uBnc26/QMX6IePH9LqOeXZ/5f6zesX6BdPNWZnxtSlW3YIgYrHHU8f1bce6p/n9Jm7dkhyhhN/7LKVIz4vE06Eo8lJCIePWwAAIABJREFUDYFqctphKgJeVQTyWyFRHvDI7TLqDMflz5m9kwkJvG6jpw93DnhOphKoJ5LIruuDFy/X5r0teRla3VDhVzy9KxnzgPLL7y1MO1gsZ8Bz7s99saSCfrfCMbeOpyuBOsIxrZ5bPqXrQ3EZTzvYVkmrjDHLjDE+SVdLujv3AmvtMmvtUmv/P3v3HR5HYeYP/Dvbi1a9Nxe5944B04xp4SC0EDocyS+Bu0BySUhIISEhvfdcOEIu7SChhFAMoWOwscHGvcuyrWZ17Wp7m/n9MTujWWlXWkm7Wkn+fp4nT6RtGouVtPPu+35faTqAJwH8x8ACEBERERFNLcrmmW+9cBCf/dsuNPXEr/yOREX8ZWsjWl0BfGfjQTT3+nHnuulQOse/dfUivP2FC9SNSBajHnlWY1x+Ck1srU4/inNMePwTa9XLfvrRpdjxwAZ84ty6pPezxTJrvKHM5AL1eOVMorxRZuykSqcTUGAzoscXUlfEr6jNj7vN4E4gZRxM7gTKtRpw1qxivP+VDVhWE3/f0Sh19I+7sQiUXiZ9doKhtUUn7cdKJ5BNE7Tu9IXjutKIBhq2E0iSpIggCJ+CvPVLD+BRSZL2C4JwV+x65gARERERnWb+b1sjOtxBrJxWgHnlDjyxoxnP7zmFR25fhXPnlAAAmnv96u1f2t8GAKgryVEvMxv0qBnQ+VBTaEVTb3wxiSaWXm8If9vehOlFNrQ4/agqsGHtzCI8/om12N3kxNXLq4d9DGWbVaY2hCnjWXpd8qiKdCmwmdDrDaHUIXeyrZxWoHb/dHlCONntw73rZyEYFfHXrY39mUCxcTDtJq90KHWYEYh9X5UMG0oPc5YygYIJikBRUUIgLMJmMsBiiiAQljO2nP4wCpgJRENIZRwMkiRtBLBxwGUJiz+SJN0x9sMiIiIioons9+80YFqRDY/ctgoFdhM+tX4WrvjlZvxte5NaBDoe2xz22Yvm4CevHAEATC+2D/m404rsODCgc4Imju0nenDr79+DPxzFrNIcSJKkjp6snVmEtTOLUnocuynWCZTGDWGSJOH37xzHRQvK0OMNjduJcIHNhB5vCP5wFCaDDos0a7mVbKDl0wpwwdxSvLi3rT8TyB+B3aSHQZ/eQk1RjhnWDIRgU38n0LiPg8UVgeTnj7INzG7WwxaQO4H6AhFERYmZQDQkloaJiIiIaEQaOj041unFnWfPUFcQV+RZcd6cErxztAtRUYIkSXh083EAwE1n1KKuxA6H2YCiYVYWTy+yoanHh0g0e9t3KLkX97VBlCRctqgc9R3y86Ayzzrix0l3J1BTjw9vHO7At144iPN++CY2HelMW2fNcArsRjh9YTmfxaTHgopc9bqdTb0AgIWV8mVmg07t6nAHwsjNwLiaXifgo6tr8OAVC/CxdTPS/vinM4NeB71OGPdxsLhOoNjvRuVnx2rSw2qSt4P1DghEJ0qERSAiIiIiGpFXD7YDAC6cXxp3+dqZhXD5w2jo9OB4lxdvH+3CVcsqUZxjxneuXoyvXbEAQ22SBYDpRXZERAnn/uANfP+lQxn7N9DoHGl3Y1ZpDs6YUahedumi8hE/jj02AuVJQydQKCLihoe34s7/3a5edv68UnztigVjfuxUFNpN6PGF0NEXhNWox4xiO8wG+TQrEBZhMujUnB6zUad2dXR5gmk9Wf/PC+pw4Tz5Z9Ko1+GOs2fAmOYuI4oV8sIiuj3jl12mLTopzx+li85uMsBq0kOSgLY+eQNjgZ3jYJRcSuNgRERERESKVw90YEFFLqoL4vN8lscCcXc1OdWTz0+eJ4cDnzGzCGekMCr0ocUV6PKEsOVYF3775jGcP6ckpfvR+Dja7sFZdUXqf/u5ZQ6sml44zL0GqymwwWzQ4ZN/3gGHxYAdX70IJsPoChZP7mhGi7M/f2r31y/OeCC0VoHNhE53EC/tb8OlC8th0Ouwenoh3qnvAgDkWvpPuUx6uRPI5QvjSLsHCypzkz3siN13yby0PRYlZzbo8H/vNeKRd47j+XvWxY3/ZUpzT//zWykCxXUCxQLAW2M/BwyGpqGwNExEREREKevxhrD9ZA82LCgbdN3M4hw4LAa8U9+Ff+5qgdWox+zSnASPkpzdbMDd59fhVzeuAADsaXal5bhp7Bo6PWjrC2BhVR6qCuQRsIsXDn4epCLPZsR1K+UAaXcggg53AJIk4ccvH8ahttQzoUIREb9+ox7LavLx4BULcPXyqnEtAAHxoze3nTUNAPDwbSvV4o8S/AzIYeihiIjlD70sh2rnj3yUjrLLZNCpBZgj7e60PrY3GEGnO77DSJIkfPxP/V1uwWj8drk8q1EtAp1yxTqBWASiIbAIRERERGnl9IVwxx/eG7QunKaGrQ3dECXggrklg67T6QRsmF+Gf+5qxRuHO/HpDbNHHXprMcUCWJkNNGE8/UELdALwb0sqML8iF89+6mz814Y5o368C+b2jxN2uINw+sL45ev1uOl/tqX8GM/tbkWL04//umgO7jh7Bn760WWjPp7RKtDkXCkn3zaTAQ6LXIzK0XYCGXRw+kMQJflzBjdPPmaDPmOP/aOXD+OGh9+Nu6w7lvOjUDqBXNoiUCxjS+mI43YwGgqLQERERJRW+1r68ObhTjz2XmO2D4UyoDFW3Jtd5kh4/a1nTkNtoQ2/vXkF7oqNgo2GUSe/TA2zCDQhHOv04Fdv1GPd7BK1cLGkOh+6MaxgXzOzf4ysoy+Ibq/cAdEz4KR3uOMy6AScO7t41McxVoWa/BVt0LOSCxTfCaTD0Q6P+rlhHFbYU3qZRzm2mIpOdxANXd64DKB6zfMFkEOiO/oC+OzfdwMA8m2aTiCnHzoByLWwCETJsQhEREREaaW8O/ns7lZIkpTlo6F0OtLuxv7WPhTYjHEntloraguw6QsX4LLFFWP6WjqdAINOYBFogvjSU3sBADetqUnbY+ZajHj+nnUAgE53AJ3u/uJPKCLiOxsPDhqNGajXF0K+zTRs4HgmaUdvHAO6fgAgx2yMu0z5tXjzGbW46Yza8TlISpvRZlelIhQRIUlAqzOgXnZ0QBEoFBHxrRcOwh+WC0V5ViNsJvl51+oMIN9mGlNxlqY+FoGIiIgorZQiUHOvHx80OrN8NDQSLl84adGludeHi3+6Cc/tbh23zBWjXodwlIXEbItERextceHq5VW4dNHYinsDza/IhU6Qx8G6NNuWtp/swcObGvDFp/YMef9ebzjroy+FmnGwHFN/EUgJR9cWhpRRouoCK7599WJ1SxpNHpnsBFJWwTdqxqmPaYpAZoO8XS4i9v+ethr1sMbGZ+s7PSh1mDN2fDQ1sAhEREREaaUUgYx6Ac/tbs3y0VCq3IEw1n3/dZz1vdfh8oUHXf/oOyfUjwdmVGSKUS+o+Rc0PtpcgbhRFEA+sfSHozh3TvpHrvQ6AUU5ZnS6g3Ert3c3yYHg7x3vGfL+vb5Q1kNwtZuYtB0YpkTjYEb5suW1BeN0dJRu2k6gdDegKT972ky9ox1uLK3Ow/HvfgjTimwIRUSY9NpjEGA1ys+xqCildeMcTU0sAhEREVFaufxhGPVyQPDze05xJGyS2HKsG+7YZppHNx+Pu+7hTcfw6Obj+OiqGnz+4jn49U0rxuWYTAY9x8HGUVSUsPa7r6lZIwplQ9uS6vyMfN1ShznWCdRfXPzTuycAAJ5gZMj7yuNg2e0E0q6A1zLq5QpBzoAV8QCwrCYz30vKvEwGQytFb20RqL7Dg7rSHAiCAJNBh1BURESM/7uqBEMDwOJxWFlPkxv7D4mIiCitXP4w8qxGLK3Jx4v72uAPR9W8Apq4ntrRjByzAWW5Zuxv7V/RvbWhG9/ZeAiXL67At69eNOptX6Nh0jMTaDwpXXyvHGiPu3xPsxMOswEziuwZ+bpyESiA4hwTShxmzC7NwZZj3er1oiglzTjp9YWxvCa7nUDJ8oiU+neiTiAWgSav8RgHa+qVi0B9gTDa+4KYXSoH8Zv08jhYIBzfrWfTFIHqSnIydnw0NbATiIiIiNKqzx9GrtWI/FhujDPBaBFlxz93tWD6/S/AO6C74vk9rXj5QDvuPr8ONYU2tPX51eveONwBo17Ajz6ydFwLQABgNDATaDw5fXInzsCT3D3NLiyqystY2GyJw4yOviAae3yoKbDiyqWVcdd7Qom7gSRJgtMXilvRPpG098nhviU5/RktpQ4LHBYDFnJkZ9LKRDD020c7Mf3+F3CyWy7+KJlAymawWaU56tcORUQ1P+ve9bMAABZjfxEo2+ORNPGxCERERERp094XQKvLj3yrUc3J6PWNT34MDe/hTQ0AgO0ne9XLuj1BPPDMPiytzsMnz52Jijwr2lzyyesbhzrwyoF2LK7Kixs3GC9GvTz6QOOjN1aw1Y67BCNRHDzVhyU1mRsxKXVY0OUJ4kSXD9OK7LhsUYU6SgXIheVE+gIRhKNS3Ir2bLnvkrn4xpUL4y47ETuhP29uiXrZrWun4Y3Pnx930k6Ti/bnQ0B6CqOPvdcIoH/8salHLsQPLgLp0eUNornXj1vXTsNnL54LIL4TKNvjkTTxsQhEREREaRGMRLHhJ29hZ6MTlflW9YVoopBhyo6ZsTGBrQ39ozavHepAry+Mh66SR70q8izo8oTQ0RfAv//v+2jo9GJRljImjHodwgyGHjeJOoEOt7kRjkpYmqE8IAAozTVDlIC2vgBqC23Isxlxw+paVOVbAfSPqQ2k5KZUF9gydmyp+s8LZuH2s6bHXfa9axbj2hXVKMu1qJeZDDoU53B702SmjPQBgIT0dCoOHCl0+cNw+cOo7/DAZNChpkD+WTDpdWjo9MIfjuKGNTXq7Y2aLs08FoFoGCwCERERUVq8e6wb7kAEM4rt+NoVC9QiUC+LQBOGL/Yu89H2/pXDR9vdMBl0WFgpF3rK8+QT1q2arUzak9jxxEyg8fOPnc24+68fAIg/yd3XIudDZTJsVrvSurZQLug8dNUi/OgjSwEkLwI1x3JTlPtMNDesqcWPr1+a7cOgNNNu5krXryedpgik/Dw09fhwyhVAZZ5FHcVVCrTXrahWf2cP5DAzg4+GxmcIERERpcXLB9phM+nx4qfPgcWoV0NRnX6Og00UXbHV7i3O/syfox0e1JXkQB/Le1kzvRAGnYAfvHRIvU22ikBGPTOBxkN9hxuf/ftu9WdWO+5ysscLk16nduVkQomj//lVkd//ca5VPlVJNg6mjMzUTIBOIDp9aIukUTE9VSBt3Nas0hx0uINo6vHBHZAz9hQ5ZgOsRj0+f8ncpI+VLKicSMFOICIiIhozUZTwyoF2nD+3RM26yIu9cH1+N9fETxRdbjlMtKW3f/3w0XYP5pT1b5OZXmzHnetmoLm3v1BUlpud8RVmAmWeKEr44lN71Z9XADBozkhbnQFU5FsyFgoNxHcClWoKQsox3fWXDwZtQwLkTiCHxcDxFxpXZk0nULqK1NpOoNmx/J/GHh/cgUjcdrn/umgOnrz7zKwV5mlqYBGIiIiIxmxXsxOd7iAuXlCuXqYUg95t6MZPXzmSrUOjGEmS0O2Vi0B9gQjcgTA8wQhanH7MKXPE3fae9bPiTsyz1gkU24RDmfP83lPYcbIXD1y+AHfEMm20BZdWpz+jXUCAvB1MoS045mu2HP1rf9ug+8mjMpk9NqKBzJpQ76iY/iJQUY4ZDosBLU4/3IEwHJb+IlB5niXpGBhRqlgEIiIiojF7eX87DDoBF8wtjbv8zx9bAwD4oNGZjcM67YWjIo51yvk/Tl8YgbCI5bVywO/RDg9+99YxAP2bZxQOixG/ummF+nlJloJsmQmUeTsbe2Ex6nD18io8eOVCXLOiCr5QFF2eIKbf/wJ2nOxFZYaLQNpNWdquhxyzAd+/djF0AvDE9uZB9+twB1GapS41On1pg9MjaSoCaZqLYDboYDcZEAhH4QlE4LCk1ulWnGPCzBJ7Wo6HpjZmAhEREdGYvXygDWfMLBw0lnHO7BKcPasI/gSjHJR59z2xG8/sasXOBy7CkXY3AOCOs6bj4Kk9+J9NDXhxn9xdMbATCADWzCjEe1+5EFsbelBgNw26fjzImUCjLwK9c7QLj73fiF/esDyj40yTlSRJONzmxqzSHPX7YzPp4Q9HcaC1T71dpjuBtAbmmXx0dS1OuQL4+WtH0dzri9sE1ukO8qSXxp3JkIlMoP7nvdmggynWBekOROI6gYby3pc3pOVYaOpjJxARERGNyfEuLxo6vXGjYFoWgz5hngdlliRJeGZXKwBgb4tLLQKtnl6IK5dWqgUgh8WQdLtSqcOCK5dWjs8BJ6ANho6KEu768w58d+PBlO//4HP78cKeU9jVzE60RH7z5jFsOdYdl8NjNerhD0XR6+sPdF9Snfnxk0K7Ka4LSOvaFdWQJOCpHS3qZZIkodMdjDt2ovGQiU4gbfHTbNTDqBcQjIjwhFLvBNLpBBa7KSUsAhEREdGY7G6ST7DPmFmY8HpLrLOAxpeyOQkAXj3Yjr9vb0auxYCKPAtuO3O6et2Lnz5H3Qw20Rj1/ZlAPd4QXtrfht9taki5qKgUL14/2JGxY5zoIlERTT2+hNe9cUj+vly8oEy9zGoywB+OotUZUC9bXluQ2YMEsOX+9dj+1cSdDDWFNpxVV4QnP2iCGDvpdvrCCEXFuOwqovGg3Z4XTdv2wv7HMel1MBn06PWFIElc+U7pxyIQERERjdquJic+87ddAIC6kpyEt7Ea9QiEWAQaL22uAL7x3H78ddtJ9bI/vXsSxzo9+N61SyAIAhZV5WFZTT5sJv2EDtY1GfozgbSFH28wktr9Y0EbLU7/MLecup76oBnn/fANbD/RM+i6sChh3axi3LCmVr3MZpJPcHc29gIAbllbi8JxGAe0GPVx2UADfWRVNZp6/NgRO65OjxxyXsIiEI0zUwY6gUKR/scxG+VxsI4++Tme6jgYUar4jCIiIqJRe/VAu/qxUZ/4vSWLUYcANzyNmy88tQebjnQCkIsgz95zNh7e1IC7z6vDbE32z/evXYKT3d4JPT5g0mQCaYtA7kAERSmEVSsdaF2xgsHp5GS3F5IEHOv0QpSA+5/eixfuXRfXxdDq9GP9gDB3pZj78oF2zCnLwbeuWjyux53MmTOLAQCH29xYPb1QLQTm8ASZxpk5LhMoTUUgTfaZxaCHSS+gocsLACmPgxGlir81iYiIaNSUGINf3rg86W2UjBHKLEmS8M3nD2DTkU58dFUNVs8ohEEnYF55Ln5y/bJBt59b7sDc8sGB0BOJNhNIO1LoSbETSHnedXtCw9xy6vAEI/j6P/fj6Z3NsBr1kCT5pLW+w4PfvnkMn9kwBwAQjETR6Q6iIj8+U+eiBWV4+wsXYOPeU0m7+7KhxGGGQSegNdbVpTwfLIbk3UNEmaAtpKavE6j/91tlvjWu22htklFrotHiOBgRERGNWpcnhOIcE64YIjzYYtQjEIlCktKVnUCJHG534w+bTwAAagqtuG5lNa5aXpXdgxojo0GnvkOuLSS6AykWgcbQCfSXrSfxvRcPjfh+2fa395vw1AfNuGJJJfKsRvjDUSyszMVVyyrx6zfqcazTA6A/MyrR5q+aQhs+eV4dNmiygrJNrxNQlmvBH7ecQJcnqHaGWU0sAtH4Std2sEA4ivuf2oP2voCafQYA04ps6ijr5YsrUup6JBoJFoGIiIhoRHq9Idz+6HvY0+xEtyeIIvvQL1AtsW6EYJpGwjrcAXz415vx6zfq4QulVgyYDALhKC792Sb8c1fL8DdOYHN9t/rxVMlJUVbES5IUN1LoDoRTur9SKOjxhtRA4VT9ZetJvLTv1Ijuk20dfQE8uaMZDrMBP79hGb5/7RIAQGOPH/ddOg/hqIR3jnYBAN49Jv//6umTp8vA5Q/DG4riOy8cRCAsPx+sQ+QIEWVCuraDHTjVh8ffb8Jj7zXGjYPZzQZ1vNps5Ok6pR/HwYiIiGhEdjU78daRTuxtcSHHbEB1wdDBwspJWiAcHTL4dSBRlBARpbh3XQHg0Ck3djc5sbvJied2t+LFT58Tt153MuroC+Cnrx7BoTY3Pv34LnT0BfH/zp05osfYXN+lfjxVikBmgw6SJOdlaDuBUh4HixWBIqKEvkAY+bbUAo7dgTCOtLtRMYFDsxO58CdvwR2IYGaJHYIgYM0MucDz0dXVqMyzwGLUoblX3hS2ub4b1QVWTCuyZfOQRyTPaoQnGIFeJ6jPBxaBaLyZ0pQJpHQ0/mt/+6ANYMrXGMnfTKJUsbRIREREI6JkcoQjIhp7fMO2qlvUItDIOoEe3Xwc5//wjUFjZEr3z+WLK3CozY1eX2pdIRPVobY+nPODN/D4+03qZd/eeBC/ev1oyiN04aiIbQ2aTqAcyxC3njy0z53AKDKBtM+59r7UR8J2N7kgSvFhrROVJEnYXN+FW3+/TT2pdMZ+JixGPQ49dCk+d9FcCIKAqnwrmnvln9+DbX1YWp0/qQqof/rYGgCAQS/0ZwKZeDpD4ytdnUCe2M/rwVN9aOjyoirfitc/dx6A/iIQi5yUCfytSURERCPS0uuHQSfgr//vDDjMBkwrHLqTwBo7SdMG+6birSOdaHUFBhWPvEH5cVZOKwAANPb4RvS4E0kwEsXPXz2KcFTEK/91Lm6MrepeXJWHH718BA89fzClx9nd5IRX0ylTmJP5ld7jQdtF5g+PIhMoFMXMYjsAoMWZ+vPkg9ga8tAk2Gr32sEO3PzINhxqc+Pj62YAAAps/duELEa9ugGuqsCGFqcf/lAUjT0+zC6bOMHPqagryUFdiR19/ohaFGSnBI03s+Y5FxlDoVg71trlCWJ+RS5mxsLYlUwgC8fBKAM4DkZEREQj0ur0ozzPgiXV+Xj7ixfAbh765YSyvScwgiKQJEnY0+wCIOeAaMNflU6geRXyZqvGHh+W1eSP6N8wUfx9ezNe3NeGEocZs0od+Orl83H18iqsnl6Az/19N/747gl84dK5w57ovlPfBUEA/nznGfjnrhaU506NTiBb7L+7PxSNe/40pVj4C4SjWFCZi4Yur9oBkwqlCBSeBJ1Ah9r6AABvfP585JgNmFPuwJokOT9V+Vbsa3HhWKcHkgTMKZvY2+ESybUa0RcIcxyMskYp0ABj7ASKdTROK7LhZLcvrsNI6dDj9jvKBJYWiYiIaERanQF1o1C+zaQGWCZjUU7kR1AEOtntg8svv0uq/L9C6XiZV54LAGjs9qb8uBPNyS752L979WIAciDomhmFEAQBFy8sR1SUMO+Bl4YtoG2p78biqjysm12MH35kKfS6yTPiMxSl+HX+j97EyW658FOZZ8Hj7zdhX4tr2Pv7w1HUFNhgMujQkmIRSBQl7Gx0ApgcnUA93jBsJj1yYsXY61fVYHqs+2mgijwLerwh7G+Vv3ezSydXJxAAOCxG9AUi8IejMOiEYX//EKWbNqx5LJlAfbGOxmuWVwMAjPr+39tKkD073SgT+FuTiIiIRqTF6U+4VjoZdaQnlHoRaHezU/14YBHIF4xAEOSRlxKHeVKPg/X4QqjMsyRcxb2kOk/9eKh/ozcYwQeNvTh7VnFGjjGbtB1gT2xvgiAAT959FgrtJnzz+QNDZiZJkgR/OAq7WR+XhTOchi4vXP4wqvKtiIjSiLeKjTenL4SCFAOvS2OB4e/Ud8OoF5IWiyayXIsBbn8YgbDILiDKinRmAuWYDbhscTmA+MBpUVKKQDxdp/Tjs4qIiIhSFomKaOsLoHIERSBlpMc7kiJQU3+XR9+AIpAnGIXdZIAgCJhWaFM7RCajTncQJUlGtyryLDhzZhEAqBudEvmgsRcRUcJZdUUZOcZs0p7ke0NRWAx6VOZb8dmL5uC94z341/62pPcNRkRIkvxOenWBFc3O1IpAe1vkAuTq6XLmVFic2N1Avb4QCuzG4W8IoCz2XNtc34UZxfZJ2UWj7QQyswhEWaAdB4tGx7IdLAyHxYDZpTnYML8MK2oL+h83VgQycxyMMmDy/eYnIiKirOlwBxEVpREVgRwW+QRVG4I5nD3NTnXN+aBOoFBELSzVFtrQ1OMbUd7QRNLpDqIkyXY1QRDwixuXAwDu/N/t6PGGEt5OGXOaMQm7OoYzsNND6Qy6YXUN5pTl4Oev1Se9r5IZYzHKnUAtQxTStFqdAQBQA1on8khYjzeEt492pdwJpPxM9XhDmD0J84AAINdqQF8gjEA4qobOE40nQRDUrp2xZgLlmOU3NB65fRVuiC0GAAClyVE3RUZ7aWLhb04iIiJKSTASxYafvAUAqCpIvQiUa5GzSgZ29CQTiYrY1+rCObPl8aZEmUBKGHVNoQ2trgDmPfAS9jYPnxEz0bT3BdQT80SKNVu+3j7amfA2nW559flQjzNZaU/yq/KtsMROvAx6HTbML8PRdnfS7TynXHIxpzzXguoCK7o8oZSKhR19ATgsBvV5Gx7DO/2Zdvuj7yEiSnGdCUMp03SdzSmdnEWgIrsJoYiI3c1OjoNR1igjYdExdAq6AxE4LIkXKyjjYJOwWY8mAT6tiIiIaFjdniA+9X874Yt1Vwy3Fl6rvxMotbXe9Z0eBMIi1s1KXATyBfs7gZbV9m8F23a8O+Vjmgie2N6EXl8YM4qTfy8FQcCG+XJe0LHOxAHYHe4g8m3GKTk2oA1Ffeiqhbj7/Dr18xnFdkREKWnWT1Os86em0KoWLVPJBepwB1GWa4Ep9v2cqBvCJEnC3lg49t4UQrIBuYCimDPJ1sMrrl1RjWlFNjR0elkEoqwxp6ETSO5qTVwEUgKndQI7gSj9WAQiIiKiIfV4Q7jkZ2/jrcOd+MKlc/HEXWeOKFDWZNDBbNDBHUytCKR0ttQW2uCwGBJ0AkXUTqAL5pbil7GRqROTaEuYyx/GtzcexJrphbjtzOlD3vaR21dhZokdh2OrwAfqcAeSjpR/Y7g9AAAgAElEQVRNdtqT/PXzynCr5ns1s0R+Dh7viv/v7g9FEYmK6hr52kIbqgvkQlvLMLlAj73XiBf3taHAZlQ39UzUcTCl0wkAvnDpvJTuo9MJKMuVnyuzJ2kRqCjHjD/++xoU2k3IS3EMjijd7jhrOoCxbQcLR6W4MGgtdRyMRSDKgMSlRyIiIqKY3c1OdHmCePSOVVg/b/AWq1TkWo0pZwJ5Yh1DdrMBeVbjoDEybzCKIs2Y1BVLK/HHLSdwpM0zqmPLht+8WQ+XP4yvX7kgpRXA88tzsa81cbdHhzuI0twpWgQyJf/e1BbKRaCBm9Pmf+0lXLygDBV5FjhizyFlm50SsB0IRxN+3/+45QQAubPmlrXTAAChCdIJJEkSnt3digvnlyHHbFAzon5360pcsrA85cf52yfOxJM7mjGzeHIWgQBgerEdL9y7DgJ4gkzZ8an1s/H20S5ExjAuGoqIcWvhtZTikp6ZQJQB7AQiIiKiIbXGuicWVOQNc8vkHBYD+oYYB9N2W3hiHUM5sRN4bSeQJElo7PGhIi8+k2huuQOH2vqGXBk+3jzBCI60u7HjZG/c5W2uAP6w+QSuXl6FhZWpfU/nljtwstsHb4JuqjZXAGWOxBvGJjvLECNuykigX5Pzo+QDvXygHa8e7MDi6jwIgoCyXAsMOgEtvX78ZetJzHvgJXT0BQY95opp8naer1y+QM3ZmSjjYIfb3fj047vwmcd3AujP2Mq1pLYZTDG92I7PXzJ30gfOVuRZUZ43NZ/3NDnodQIkjKUTSEy6oW9xtfy3oXoE+XtEqWIRiIiIiIbU6vTDoBPGFDzssAzu6FH89JUjWPC1l7DpiBx8rBQ67AmKQKdcAbj8YSyoiA+1nVvuQF8ggva+4KiPcSy8wQj+sbMZz+5uVS+77ffbcPFPN+Ha327BIc0o187GXoQiojpOkIp55fK/90i7O+7yXm8Ip1wBzCmfnCG/wxmqUKGMUWgLiNrnSovTj9tj32O9TkBFvgXNvX58/dn9AIBDbfHfS+WxKvMsuHXtNPXkbKKMgx2OHe+rBzsAAH2xzro868iKQESUHjpBwBimwRCKiknHwe4+rw4vfvocLKnOT3g90ViwCERERERDanUGUJ5nGVNbeq7FkDQY+pldLYiIEr75/AFEoiK8sfBpu1kfVwSKihLO+t7rAID5FblxjzEntu76cPvgE/tM29/qwtrvvIb/+ttufO7vuxAVJYQiIj5odKq3eWpHs/pxr0/+94ykqKb8e7WFizcOdeCex+SukIWVuQnvN1UUJ8g8MugECEJ8p06vL6R+XFtoU0O1AaA634bmXp86ZpEoQ0o7JqacnE2YTiDNf/twVFR/LnKtTHcgygZBGFsmUCgiJt3sp9MJg/7OEaULi0BEREQ0pOZeHyrzx9aSnmtJngnkDUZQnGNGfYcHj73XCHcgApNeB7Mhvgi0/UQPADkseFFV/BiVUgQ6kqC7I9N+8dpR6HQCbllbi3BUwlef2YfXD7XH3eYfO1sRjop4dncrvvyPvQCAghGE2lblW2Ez6fGlp/dix8le7Gtx4a6/7MA79V0AkPJY2WT0wr3r8NJnzhl0uSAIMOl1cZ06Pd7+59i/nz09rnC5uDovrjA3MFAakItA5lgRSOkECk6QTqCdmmPv8YbQ55eLquwEIsoOvU4Y0wjyUONgRJnEZx0RERElJYoSDp5yY27Z2MaNHEk6gSRJgssfxnUrq7F2ZiF++upRtLn8sJvlE/FcTRHo9cMdMOoFvP/VDYNCfQvtJpQ4zNhyrGvcx3d2NTmxYX4ZLoyFZj/2XiPu+ssHcFgMePwTa/GD65agyxPE1oZu/OaNevV+qQRCK3Q6Ab5Yh9Q9//cBPvnnHXEdKoX2qbslaWFlXsJOIEDu1gnGFYFCsfvk4vpVNXG3/di6GXGfJy4CibAadbHHlgtI4TEEv6bLKZcfW493q2OBne4gXP4wdAJgT7Jimogya6zjYENtByPKJD7riIiIKKmGLi88wQiWVI+t00QOhh7cCeQPRxGOSsizGvHVyxeg1xfCM7ta1RXweVYjghERgXAUO070YnFVHnLMiU96i+wmvHG4E1+JddqMB0mS0O0JoTTXjKoBAZ4b5pdh7cwiXLGkEiaDDm8e7kx67KnYML8UANDqCqDbG8R3r1k8pmOfCkx6Xdz2LmUc7JHbV6nPIUVZbn+IsNWoT9oJpI6D6eX/D0+ATqBndrZCkoCPnzMTANDtDcHlDyPXapz0Ac9Ek5VOAMQxdALJ28F4Ok7jj886IiIiSmp/bC35wPGrkXJYjAiExUH5KkqXT57ViEVVeZhZLK/9VoolubFRly5PEHtaXFgZ296UiDIS9cSOZnXD2GiMpJPI5Q8jIkoospvUNeSKSxbKnUFWkx5nzCjEm4c7kGMZfRHo5zcsR3mskHHLGdPw4WVVAIDrVlaP+jEnO5Nh4DiYXAQabtRu5bQCNPX4Bv23DkT6i0DGWCdQtlfES5KEpz9oxqppBerz/5TTj1anf8SbwYgofQRBwP7WPvzp3RMjvq8kSXIwdJIV8USZxCIQERERJdXY7QMAzIgVZ0YrN1b8GDgSpuSaKOG2M4pzAPQXgZS8ky313QhFxCGLQA9euQB3n18HAOjxhJLebihf/sdeLHrwX3FbpobSFfs6JQ4z7GYDPnfRHDz3qXV47lPrcOmiCvV2F8wtxbFO75i2l9nNBpTmymNRdaU5sBj12PqlC/Gdq0/fjiCTQYf6Do/aZeb0hWAz6YcdtVtRmw9RAhp7fHGX+0NRWAdkAmU7GHp3swtHOzy4ZkU1inLk4tb9T+/Fa4c6MK3IltVjIzqdKU14v3itfugbJhCJzZFxHIyygc86IiIiSqqxx4dSh3lE+TWJOGIdCwPDobWdQIC80QmQu2e0l79+SF6LvWKIIpDDYsSiWDeQPxwd8TFGRQn/t60RoYiI+o7UAqa7PHJRp8guF2fuuXA2FlfnYfGA8bnz55YAAA6eklfFK//OkfLHcoGU+5fnWU7rkwiTXoddTU5c+5stAORg6FQCt5Xn0cCRsEBYhFnJBJogK+Lve2I3CmxGXL6kAg6zAdUFVqyozcfvb1+Fh29dldVjIzqdKcHzEXHkvyOU3yscB6NsYJIcERERJdXU6xt1wULLEesEUjp/FAOLQMqq8yuWVMZd/vrhDtQW2lDqsGAoltgJfGAURSBt98/xLh9WTisc9j7dsU6gYsfQhYcZxXbUFtrQ2OPD0uo8/OXjZ4z4+ID+d43Huq1tqlC+H0c7PADkTKChQrKvXl6Ff+xswbKafADA8S4PgP418kHNOJg59tj1scfOBk8wgqMdHnzh0rnqz8Jb910Qt/WMiLJDEGJFoFGExysdhqdzEZ+yh886IiIiSkiSJJzs9qEmLUUg+QT2l68fxa6m/lXXA4tAH15Widc+dx6uX10Td/lwo2AKZZRnNEUgJU8GUIoDwxvYCZSMIAhqN1BdSY76/RipX9y4HP9xfh2mpeG/yVTU4w2hYIgi0A+uW4JdX7sI+TYTiuymQZ1A2nGwEocZly4sx+82NeCZnS0ZPe5kOvoCAKBmQQFgAYhogtAJygZBdgLR5MJnHRER0WnK5Qvj3WPdSa/f2eTEKVcAq6cP3xEzHCXz5+UD7bjq15v7j2FAEcig16GuJEe9XrkcGHoUTGGOncCPZhxM2SwFACe6fUPcsl+3JwidkNqKdqUIlGsdfZhvXUkOvnDpPG6EiokO2M/c6wuhwJb8+2vU65AfGxebUWxHQ+eAcbCIqHaTCYKAX920HA6LATsbe9N85KnpcMtFxuE64Iho/Cm/hkdVBFI6gVgEoizgs46IiOg09eBz+3HzI1vVbhbFH7ecwFM7mvHXrY3IMRtw5bLKMX+tZFuMlCJQss6YXM02rSUpbCjrHwcb+YtyZbQrx2xQOzCG0+WVx49S6c44c2Yx8m1Ghvmm0cCTrx5vKKVMIACoKrDilKv/v3M4KiIqSrAY+vOvDHod7CbDqJ5P6aAWgXKH7jQjovGndAKJEiCKIxsJC0cZDE3Zw0wgIiKi01BTjw/P7m6FKAFnf+91LKjMxbUrqrG4Kg9ff3Y/ADkT5bqV1eqmrrFwDFiNHhUl6HUC+vxhOCyGpEUUg+Zd0tllOQlvo6WM8gQjo+8EmlvuUE++h9PlDg47CqYem0mPt+67IC3fT5JFNCde4agIdyCSUlcWIG9b84X6nydK95gSSq6wGHUIjOL5lA6daicQi0BEE41SBAKAsCjCrEt9gQLHwSib+CqEiIjoNPQ/bzdAJwBRAMGIiJ2NTuxsdMbdJhgRcfMZ09Ly9QYWPtr6AqjKt6LPH44b+RqKzTT8yxYl1NcfGn0m0LxyB57+oA+SJKnBn8l0e0PDhkJrpfpvpdRoA1mVrrL8IcbBtGxGPXyh/qBypeAysGvNYtSPKmMqHTrdQRj1Ap83RBOQ9r2LSFTCSOr7ShejUc/RXhp/LAIRERGdZnq9Ifzt/SZcs7waFy8sw6Obj+MXNyxHlyeEt4924niXF3/d1ojltflYENvWNVaGAe92KifVrhSLQKm+ULaMIRi6udcHh9mA2kIb/OEoPMHIsAHOXZ4gllbnj/hrUXpox8E8AbmgM7DrLBlbrBNIFCXodAK2NfQAAFZNj8+eMhv18GdpHKwvIP98DFeMJKLxF9cJNMJcoBC3g1EWsQhERER0mjnU5kYwIuKKpZVYN7sYF86XV2QX5Zgxt9yBvc0u/HVbI25JUxdQIsoLZpc/nDQvSPH+VzakHJ6pbgeLjOwFuShKeO1gB9bNLlbzV57c0YyV0wqwuCoPxzo9mFXqiLvPr9+ox8luHy6cV5boIWkcaIOhPUG5CJRjTq1rxm7qDxG3mw3YdrwbZblmzCi2x93OYtBltBPIE4xgS30XLl5YPvi6QITjg0QTlE7zZyk8wjXxyjgYg6EpG/isIyIiOs10uGNrp/MS54wsrs7D8/eswzUrqjJ2DOGI/II5lU6gEocZeSmO+Jhj76qOdBxsd7MTHe4gLllYjhnFcvbQN547gFse2YafvXoUG36yCZvru9Tbb6nvwo9ePow8qxGXL6kY0dei9NG++66Mg6VaNLHFbqfkAh1uc2NhZd6grhuLUY9gBotAz+5qxSf+vANH2t2DrvMEI8hJsbOJiMaX9ndFRBzZGw/qOBg7gSgL+KwjIiI6TUiShAef3Y8HntkHACjJSb52elHV4JPhdFJa4ZVxl3TR6QSYDEMH+e5ucqKh06N+/sjbDbjnsZ0w6ARcMLcUy2ry8ebnz8cdZ01HXyCCv247CQB4aV8bAMDlC+Mzf9uFmcV2vPul9ViZwup6ygxtMLRS3Ex5HCzWNeYLRRCJimjo8mJ26eDwcatRn9HtYD1eOYto23F5HO294z24/Bdvoy8QZicQ0QSm146DRUbWCfTwpgYA7ASi7OCzjoiI6DTx4r42/O+WE+iLZafkWrN3chmJiuj1htDpDqIiP3kxajSsRj2CYREuXxj7W12Drv/wrzdj/Y/fUj//1gsH0dzrx9qZRWrH0fRiO2aWyGNBXbHV8a8ebIckSdjR2IMOdxDfuHJRSmHVlDnaIlB7n1xMSbVoYjfLRSBvMIqmXj9CERGzEhSBMr0dTPl5fD9WBHr/RA/2t/bhtYPtcAcjKY+3EdH40gZDh0fYCfT2UbmzNNlmTKJMYhGIiIjoNHCiy4svPrUHxTn9m6yyGTYbjkp45WA7RAnYMD+9mToWow7+UBS/23QMN/xua9x12gwZALj0Z5vUjwcGAmuziqYX2XDKFcAfNp9AQ6cXAFBdYE3rcdMoaP5z7mzsBSCvfk+FUsDzhSLqKNacMseg22V6O5jLJ4+xvX+iB5IkoaNP7mh6cW8bPMFwyp1NRDS+4sbBRpgJpKgptKXrcIhSxiIQERHRFBcIR/GJP2+HQSfgH/9xdrYPB4Cch7D9RA+K7CYsTNMGMoXFqEcgEkVzrx/uYEQN4AT6R4YAuRvpUFt/Dsu/nzUj7nG0nVLXrawGAHzz+QP41gsHAXDd+0TwxF1n4vYzpyHXYsArB9oBjGAcLBYMfcoVQH2HPB5Yl7ATSK9mTJ1y+fHYe41w+kLpOHwA8kikchzNvX61o+mtI51o7wuyCEQ0QY12O5gYezPi3gtn8+8IZQX/qhAREU0xm450AgDOnVMCAPjgZC+OtHvwyxuXo6bQhgf+bQEsxvF/H6g4x6SOVoWjIg6c6sOCyty0dyRZDHLnhhIU7AtFYDLIHVAtvX71dl5NePTvbl05KHxa2wmUaEwoly/es25pTT6W1uRDAvCnd0/CoBPUcPDhKJ1A9zy2E5ctKkdVvjXhKJnZqFO3zT28qQF/2HwCJ7t9uP+yeWn5N8gb8gzoC0Tw/oketLsDcFgMcAeUbWd8uU40EcWNg42gCBSM/T5RtlkSjTd2AhEREU0xtz36Hm579D11hOVYLARZGXf62LoZuDmD69+Tefrus3HXeXUA5LXcR9o9mF+R3i4gALCY5CDfTrfcUaEt9jRri0CxleIAUOoYvClNW+QptJvxyG2r1M8dZgOzHCaQ61fVAAByLIaUi4pKJhAAvHawI2GhD5CLiqGICFGU1I4hpcCYDn2BMFZMK4DDbMD7J3rQ0RfEhfNK1RX23A5GNDFp/wZExNTHwZS/zdYsvBlDBLAIRERENGWt/9Gb+PPWkzjW6YXNpEd5bnoDmEeqtsiG61fJY1WH29wIRUQsyEQRyKCDPxxFR6wI9LVn9uF/Nx8HAHR55MscFkNcEagswfdG2wlUaDdhw4IyfCQ2FsYuoIllUVUeFlbmjmh0yqH57xuKigk3gwHyOBggv3t/LFYE8oUiCW87Gi5/GAU2E1ZOL8CTO5rR1hdATaEN62NZWSPdOkRE40OI2w6WeieQXykCmdgJRNnBtxaIiIimEKUlfUl1HvQ6AQ88sw+zS3Mws8Se1SBohTG2DndPs7y1KyOdQEY92vsC6jjNa4c60O0N4Y6zZ8AZC+E16AR4YkWgr14+H5X5g0OetZlAFXlykUi5nbaLhCaGH1y3RB03TEWh3YSn7j4TDzyzHwdO9SUMhQagjk5e9vNNaHXJmVK+UPqCol0+eRxsVmkO3jwsj3LesnYajHodXP4wNiwoTdvXIqL0id8OlnqxVikCWTgORlnCTiAiIqIpROl+uXFNLb72bwsAAEc7PFhRWzDU3caNKZbXsrvZCZNep65hTyerUY+mHl/cZQ2dHkiShN5YoG8wIsIblF+IL6nOT/o4ALBqWoG6cUopFBxp96T9uGlsFlbm4bxYDlaqVk4rxAXz5PvMKkvcCaQESLv8YXx4WSVKHWY1KHqsgpEo+gIRFNhNWD29EIBcwC3LtaDQbsKf7lyDhZV5aflaRJReurjtYIk7gYKRwb8rlN8fLAJRtrATiIiIaAp5OxYKXZ5riTt5vGDexOgmMMTeOnUHIlhUlat2BqWTxaiLywECgL5ABN3eEJyxLBd/OApPUP44WfCuIAjY9uULUWg3qZddOF/+PhbYOA42VXx0VS26PaGkW+ouWViOTncQN66pRVGOGbc8sg3eNI2Dtbvkom1lnhUravPxnxfU4cY1tWl5bCLKrPhg6MGdQIfb3LjkZ5vwm5tXqG8m2M0GTSYQi0CUHSwCERERTSH3P70XAFBdYIXJoMN/37ICR9o9WDerOMtHJjNqNjfNL0//KBiQ/N3Vhk4vXLFxMEkCur1yV9BQ25cGZgVZjHo8/R9nIZ+ZQFNGbZEN37t2SdLr820mfGr9bPVzm0mvZkuNVatLDiqvyLfAoNfhvkvSs3GMiDJPpxt6Rfz+Vnns+eX9bfiPv36ABRW52Pjpc5gJRFnHIhAREdEUobSjr5xWgNmxsaVLF1Xg0kXZPKp4Jk3nTybygIChikAeOP39mTHdsfyYkeb7TJTROsoOm0mftkygU0oRKG9wJhURTWxx42Di4CKQsj1M2Rx24FQfgP5xMHYCUbYwE4iIiGiK6Inl3Vy1rDLLR5KcQfPOabKV3GOVtAjU5UWvt3+1t9LNYR+iE4hoIKvJkLbtYK1OOWi6Mj+7m/uIaOSGGwdTikQufzjucgZDU7axCERERDRFdLnlIlBxjjnLR5KcXvOqOT9DuTrKNqeB34eGTk9sHbf8dU92+2DQCTAb+HKIUmdPYyfQ1oZuVBdYYTOxEEk02cStiE8wDqYUgTrd8eOjwbB8W46DUbbwVQ8REdEU0e2VX2gWTeAikPZFs8OSqSKQ/MK6LLf/+1BdYMXhdjc8wYg6evPWkU5smF8Wd0xEw7GZ9PCHoxBHsBI6kV5vCO/Ud+GaFdVpOjIiGk/x28EG/z5Qpp+7PKG4y/0MhqYsYxGIiIhoCvCHoujoU4pApmFuPTEMFcg8FsoL6xKHWe0GWlKdh6YeJX9FHr2pLbTh+0MEAhMlYjUZIElAIMHq55E45QpAkoD55Y40HRkRjSftcsuhOoEGBsmzCETZxt5TIiKiSazLE8SWY934/N93IxR7EVpsn7idQFoOS2ZehijjYKUOM/72ybV45O3jWF6bj4172wAAa2YUwuUP4xsfXog8rnqnEVKCxH2h6JjGuHpi2+kK7ZOjaEtE8XRx42CJOoESd5kqwdAcRaZsYRGIiIhoghNFKW4VrdalP3sbXZ4gFlXl4uy6YthMBuRaJ8ef90yFYlo0nUB1JTn47jWLsbOxV71+XkUuPnleXUa+Nk19ubExRqcvPKr8rYc3HQMAlDrkjrTJ0rlHRPGEuHGwwZ1AUpKJ0UA4CrNBl/TvOlGmTY5XiURERKehQDiKX75+FL97qwFv3nc+qgtscdd7gxG1zfzR21ejNJcbhoD+IpBykg0AM0v6N5EVsPuHxqCqQM6UanH6R7zhzuUL4zsbDwEAVk8vAAAUTpLOPSKKF7cdLEFGWCTBZcFIFP5wlKHQlFUsAhEREU0wkiTh0c0n8Ns3j6lFns31Xfjo6tq42zX1+gAAv7xxOQtAGtpOIEWe1YjiHBO6PCHkW9l5QaNXHSsCNcd+/kZiX6tL/fj9E73QCfJzk4gmH90wnUBiglYgTyACfyjKPCDKKhaBiIiIJphtx3vw0PMHsHZmIT5/8Rzc//RevHKgA1FRXjVrMuggShJmx7oQagttwzzi6aWuxI7qAisWV+XFXT6zOAddnh7mANGYlDosMOoFNPf6R3zfPc1yEegbVy7E15/dj3ybKWluCBFNbNpxrkTB0Ik6gTzBiNwJxCIQZRGLQERERFkWCEfxnY0HcefZMzCtyIY/vXsCRr2AR25fjRyzAbuanHj8/Sa8erA97n5n1RUBYBFooOoCG9754vpBl9eV2rGjsReODG0lo9ODXiegMt86qiLQvhYXagttuGXtNPzx3RMw6RkMSzRZxY2DJQiGjoqDC0O+UBSBsJixTDyiVPBVEBERURZ0uANqZs3+Vhf+9O5JvFPfhWtXVGPj3jZcsrBMXaH+4JULMa/cgfkVubjjD++r62X3NLvw5Q/NQ8Ek2y507/pZcFjGvxvnjrNmYGl1PsM4acyqC6yjGgfb0+LEkup86HUCHrltFXyhsa2ZJ6LsiRsHS1DwiWgKQzaTHr5QFJGohAAzgSjLWAQiIiIaZye6vLjgx2/igcsX4M51M3DKFQAANHR68cN/Hcby2nz84sbl6u0tRj3uOHsGAGBGsR0HTvVh7cxC/O6WVZNytOmzF8/NytedW+7A3HJHVr42TS3V+Ta8frhjRPdx+cJo6vHj5jOmAYgPKyeiySeuEygyuBNImwlU6jDjRLcPYVGEPxyFxcguQMoeFoGIiIjG2Z4WFyQJ+MG/DqGp16eOlTzwbwvwwp5W/PKmFTAbEr9LqHQHXb+qZlIWgIimguoCKzrdQQTC0ZTHOlpd8s85xzeJpgZtJ1A4USeQqC0CWXCi24dIVII/FOWWSsoqFoGIiIjG2ZE2N/Q6AYGwiD9sPgEAsBr1uPPs6fjYuhlD3tdulk84bWwlJ8qa6sL+NfF1KXb0KJv+inO4Ep5oKojfDpYoE6j/spJcc+x24oiKx0SZwD40IiKicVTf4cGf3j2BmcV2/ObmFerlFXkWCMLwWTWfPK8OALCspiBTh0hEw6gukLt5RhIO3V8EmlwZXkSUmE5zJp1wO5imMFQWywAMixK3g1HWsQhERESUYd5gBJIk4fH3GvHhX70DvU7A5y6egw8trsDnLpoDIPXugLUzi3Die5ejPM+SyUMmoiFUF8idQCMJh+50y0WgEgc7gYimgrhxsASdQHGZQJpOID+DoSnLOA5GRESUZm2uAKKShKp8K17a14a7/rIDRXYTur0hnDmzCD+6fimq8uWTyEsWlePVg+34/nVLsnzURJSqUocFRr0wwk6gEMwGnZrrRUSTmzDcdjAxPhgakItF/hA7gSi7+FeIiIgozW57dBuOtHuw8d5z8P2XDgEAur0hfO3fFuCOs6bHrSifU+bAPz+1LluHSkSjoNcJqMy3jqgI1OkOojjHnNLYJxFNfHHbwRKMg0UHBEMrtwtGRGYCUVaxCERERJRmR9o9AIArfvUOoqKEG1bX4COrarByGnN8iKaKqnwrntvdik+eOxOLqvKGvG1UlLDlWBcWD3M7IpqcEo2DxQVDxzqBPMEIAHAcjLKKmUBERERp1OsNAQDuPr8Oly4sR3muBV/60HwWgIimmMuXVAAAth3vGfa2m452or0viOtWVmf6sIhonGgifxBJFAwdKwI5zAZ1o6c7EAYAWAw8DafsYScQERFRGh1pdwMAVk8vwBcvnQdJkjj+QTQFfXRVDb7yj33wBCLD3vbJ7c0otJuwfl7ZOBwZEY03bf6PIhrLCbpqeRUMevl1gDvATiDKPpYgiYiI0uinrx6Bw2zA0up8AGABiGiKMuh1sJn06jv7yfR6Q3jlQDs+vKwSJr77TzQlhSKJO4FMBh0eumoRDLxv1OsAACAASURBVLF98koRiJlAlE38S0RERJQm+1pc2NrQg09vmI2iFFe+E9Hk5bAY1JO6ZN480oFQVMQ1yzkKRjRV+UJRPLWjGZJmRkwUJRhi6dHGWCdQX6xozO1glE0sAhEREaVBVJTw4LP74bAY8JFVNdk+HCIaBzlmgxr0mkyfX76+Mt8yHodERONEOwDW2OPD557YjdcPdaiXRUQJ+lgRyKCXT7uf/qAFAMfBKLuYCURERJQGD29qwPaTvfjJ9UuRZzVm+3CIaBw4LEb1nf1klNXRRo6CEU152t8HUW0RSBc/Gs5OIMom/jUiIiIaozZXAD955TAuW1SOq5dXZftwiGicpDIOFoxlhZj0fNlNNJVoR78SicaNg8X//DMTiLKJf42IiIjGaHN9F8JRCfdeOJtB0ESnEYdl+HGwEItARKclbSeQfmAnEMfBKIv414iIiGgEJEmC0xeKu+zdhm7kWY2YW+bI0lERUTY4zMYht4O9cbgDf3r3BIx6ATodC8REp5OIKEGf5I0hdgJRNqVUBBIE4VJBEA4LglAvCML9Ca6/WRCEPbH/bREEYWn6D5WIiCi7RFHCXX/ZgWXffAX7W10AgMNtbvxjZwsuWVjGkzyi00yOxQBPknGwR95uwL//4X30+sLsAiI6TWgnxKKiBL0+8esCZgJRNg37F0kQBD2AXwO4DMACADcKgrBgwM2OAzhPkqQlAB4C8HC6D5SIiCib9ja7cPMj2/Cv/e0AgMt/8Q4Ot7nxxuEOREUJ910yL8tHSETjzWExwBuKIirGZ4OIooRH3j6ufq7jmCjRaUfOBEp8us0iEGVTKtvB1gColySpAQAEQXgcwIcBHFBuIEnSFs3ttwKoTudBEhERZUt9hxtf/sc+vHe8B4V2Ex768EK8sPcUtjb04JrfbIY3FMX0IhtKHOZsHyoRjbMcs/xS2hOIIM/WvxVwd7MTbX0BLKjIxYFTfRCHCZAloqlhUCdQkg5hM7cFUhalUgSqAtCk+bwZwBlD3P5jAF5MdIUgCJ8A8AkAqK2tTfEQiYiIskOSJHzsj9txstsHAHjts+ehwG7CFUsr0eoM4P6n92BPswtrZhRm+UiJKBtyLXLhxx0MxxWBXtrfBoNOwOVLKnDgVB+iLAIRnXYiopg0E4jj45RNqRSBEj1DE/4lEwThAshFoHWJrpck6WHERsVWrVrFv4ZERDShNfX4cbLbhyuXVuKmM2pRYDcBAPJtJuTbTHjirjOxr8WF+RW5WT5SIsoGh0V+Ka1dE9/i9OO5Xa04s65I7RAU+aqX6LQTFQdvBSOaCFIpAjUDqNF8Xg2gdeCNBEFYAuARAJdJktSdnsMjIiLKni3HugAA9144C7NKB2/+Mhv0WDmNXUBEp6ucAUUgSZJw9vdeBwD85/pZau6HxE4goikn0Y+19qKoKMKQJBiaKJtSGUZ8H8BsQRBmCIJgAnADgGe1NxAEoRbA0wBulSTpSPoPk4iIaHihiIhWpz9tj7flWDdKHGbUleSk7TGJaOpwxMbBPEF5TbzL378u/uIF5eoaaHYCEZ0etAXfiCglDIXffP/68TwkokGGLQJJkhQB8CkA/wJwEMDfJUnaLwjCXYIg3BW72dcAFAH4jSAIuwRB2J6xIyYiotNac68Pf3+/CcFIFADgCUbw5uEObKnvwmU/34TzfvgGmnp8I35cbzB+zbMkSXi3oRtnziyCwM0+RJSAEgytdAK19QUAAL+6aTlKHGZYjPJL7YHbw4ho8qsqsAIAphXZ1Mu0IfDydrDBrx+q8q2ZPziiIaQyDgZJkjYC2Djgsv/WfPxxAB9P76EREREB4aiIZ3e1YmaJHctq8nHT/2xDY48Pb9d34Rc3LMPVv96Mox0eAEBNoRURUcKDz+7Hb29ZCVOK2zcOt7lxyc824ccfWYprV8oLLo91etDpDuKsuqKM/duIaHLLjY2D9cWKQKdcchGoIs8CAGonEBFNPaunF+Kf/3k2Dre78YUn9wAAwtEBnUDMBKIJKKUiEBERUba8ebgTn3tiNwD53bbGHh/Kcs14bncrjra71QIQADx/zzn40tN7sHFvG3Y3O7F6emp5PX/YfBwA8O2NB3HV8irodQLePSbH251VV5zmfxERTRXqOFisCNQeKwKV5cpFICuLQERT2tKafBzv8qqfa7v+PIGIWhAmmkhYBCIiognt0Kk+AMBXL5+P53a3wmk14oV7z8GTO5rx6oF2zCyx46EPL4JBJyDPasRd59Vh4942uHxh+EIRfGfjQWzc24YX7l2HirzELdg7TvYCAHq8Ibyw9xQKbSa8uK8NVflW1BSybZuIErMYddDrBLgDchaQMg5W6rCo1xPR1GbU9/+ch6Oi+nGvL4SFlf3bQ29cU4PEi7eJxheLQERENKEd6fCgusCKj58zEx8/ZyYkSYIgCLjrvDrcdV7doNvnxt6Z7wuE8cjbx/GXrY0AgKPtnoRFoEhUxIluLz557ky8erAd9z62U73uiqWVzAMioqQEQYDdpFczxdyBCHLMBnUU1WxgJxDRVKfdAKZ0AkmShG5vCIV2k3rdd69ZMu7HRpQIi0BERDThBCNR3PfEHvT6Qthc34X180rV64YryuRaY0UgfxhvHu5QLx8Y/Kw42eNDOCphdpkDc8oc6ugZAKyfVzKWfwYRnQZsJgN8ITmo3h+OxuUAMROIaOozaopAkVgRyBeKIhQRUaApAhFNFOxRJSKijBFFCSc0s/Kp2tPswrO7W9HmCuDsWcX44qXzUr6vIxbU2tzrx+5mF65ZXgWgf3vPQEfb3QCA2aU5uHJZJXLMBlyzogqb71+Pq5ZVjfjYiej0YjPr4QvLRaBAKAqrqf/ltdXEIhDRVKcdB4vEgqF7vCEAiOsEIpoo2AlEREQZ8+etJ/HN5w/g3S+tVzMyUrGvxQUA+OvHz0Bp7shCFY16HWwmPV7a34aoKOFDiyvw9M4W9MUyO6769WbUleTgx9cvjX2tPuh1AuaWO2DU67D9qxtg0Akw6Pk+CRENz2bSwxfrNPSHo3Fh0JYUNxQS0eRl0PX/nEdFORNILQLZWASiiYd/mYiIKGP+uasFUVHCsY6RdQPtanKixGEecQFIkWsxornXjxyzAetmy9u9lE6gXU1OPPVBMyRJUj+fXZqjjm1YjHoWgIgoZTZj/DiYtgjE3yVEU592HCwcGwfr8clFII6D0UTETiAiIsqIVqcfHzQ6AQCNPV6cWVeU0v063AG8uK9NHeMaDYfFgLY+4Ky6IliMethNergDEQQjUfU2H//jdnR6gtjT7MKdZ88Y9dciotOb1aRHb+yEzx+KwjwgB+gbVy7E6umF2Tg0IhoH2nEwJRjaF5Rfb+SYebpNEw+flURENGKiKOG/Nx3DnFIH1s8rhU7X/y7YF57cDb1OQF1JDgBAEICT3T68tK8N+1pcONrhxr/2t+NfnzkXc8sdgx57x4lehCIiblxTO+rjO9rhAQD8//buPD7uqt7/+PvMkplksq9NmzbdN0oLbenGvlkEBWUTLgjIVVG8chV/uIB6uYheL+oVURZxAQVEUVlltVK2ltJSoPtCd9o0TdKm2Seznd8fM5kmbbplm5nO6/l49MEs3/nOmYSTTN7zOZ9z2thoY+fcTLea/EHVNQfix/xrbY1mjijUV88ara+cObrHzwUgvfk8Tm2vj1Ya+oNh5e+3/OPaOcMTMCoAA6Xz7mAdPYHCsWpjigGRjAiBAABHbdn2vbrrpXWSpPGDcvTLK09UoS9DeZluPfHu9vhx4wflKBiO6LF3tum+1zZ2OcdLK6u7DYE+qm+VJA0v9vV4fJ8+cYj+sbxKl0ytkBStDGryh1Tb1C4p2gT6hKH5+sllU3r8HAAgSZlul9piy8H8wUiX5WAAjn1dGkPHegJFYhVBjsPsaAokAtkkAOCoLdq0R5J0y9xxWlvdpHN//oZOu2u+bn9uVZfjPjG5XD++ZLJKczw6YWi+/nj9jPh9VtE3SE+9v13n/+JNVTf4JUV39crxupQX2+q9J3562RSt+u/z4jvz5HjdavQH4yHQzy6fQgAEoE9kZezbHawtGGZHMCDNdA2Bou9tIpYQCMmLSiAAwFF7f1u9Rhb79OXTR+knL0crgo4bnKfH3tkmSbrrksmqbw3o2jnD5XU79c+bT1ckYrVtT2v8HE3+kH74/Gr95s3NkqT562oUjlj98e2tqijI7NX4nA4jZ6claiXZHr23rV6PL46OryTH06vzA0CHLI+zS2NoL5VAQFpxdXq/Ee5YDhbpWA5GCITkQwgEADhqH9W3aUSxTw6H0T+/fpq8bqeGFmZpZ0Obtte3ddsE1eEwGpS3b7ev370VDX8unDJYzy6r0neeXBG/b0J5bp+O999mDtNLq6q1cGOdbjh9pAb1cNcxANhfltulQCiiUDgifyDMcjAgzXSuBAp2LAfrqAQiBEISIgQCABy1HfWtOml4gSRpTNm+vj7leZkqzzt4Fc/+n5D/4FOTdOVJQ/XssipJ0t2fOUEnDsuXr4930zhtbIn+/uXZGl2So7ysni8zA4D9ZcWWf7UGw7HlYHRbANJJ5y3iOyqAwtEsSE6WgyEJEQIBAA5rbXWjHnxjkyaW5+rM8aVq9Id6vGTrsmkVenvTbp1/fLk+O6uyy33TKgs0tDCrL4Z8gGmVbNEMoO9leaIhUENrUKGIlddFJRCQTlydewKF9+8JlJAhAYdECAQAOKw7nluthRt360nt0J3Pr5EkDcnvWVhzqIbMg/N71wsIAAZaYWxL+B172ySJxtBAmulcCRQMsxwMyY8QCABwSJGI1fLtDfrsrEpdO2e4nvlgh97bVq+TRhT0+XPRQBFAqimN9RjburtF0oHLXgEc2zr3BHpl9S69vXH3vsbQLAdDEiIEAgDERSJWm+qaNbp0X5+fDbXNam4PaXJFnkaXZusbHxvX58/7zq1nqz0Y6fPzAkB/62h4v2V3dPdDGkMD6cW13wdYb2+sU25mtP8glUBIRoRAAJCGrLV6fPFH2tnQJrfTIbfToWtmV+rXb2zSPf/6ULeeP15fPG2UJOn55TtljHTy6OJ+G08Zu3UBSFEl2R5J+yqBWA4GpBezX7XPsCKf6lsCkugJhORECAQA/SwQiujn89brS6ePUl5mcuxMtaGmWbc+taLLbZtqm/XMB9Fdut78sE5fPG2U2gJh/XnJNp08qph+PQDQjQyXQ0W+DG2poxIIQLQfUDjWE4hl7khG7GEJAP1s3ppduv+1jfrxi2sSPRRJ0vLte/XnJR9Jkub/vzP0889EGzX/del2BcIRjSnNVkt7SJL00MLN2tXYrq+eNTph4wWAZFeW66UnEABJ0ebQHT2BHPQEQhKiEggA+lnHp0BbY/0iBtpv39ykl1ZWa8rQfM0cUagvPrJUklSQ5dbwoiyNKPZp/KBcXXL/Qn3jY+O0ZPMebapr1t7WgO5/baPOHl+qmSOLEjJ2AEgFZbkerd7ZKInlYEC6C4WtIhEqgZC8CIEAoJ81+6NVNQs37lZDW/CAJWE1TX5d/dt39IOLJvVL2HLXS+sUCEf07tZ6/e6tzcpwOlRZlKVb5o6Lr2OfUJ6r9753rrxup1ZXNaqlPaz7Xtuo5vaQvnne+D4fEwAcSzr3NfO6KbQH0lGGy6FAKKJgOKJYBkQlEJISIRAA9LO9bcH45esfXqLHPj+zy3KBFdsbtH5Xsz7z4CKt/cF5fbqUoLk9pEA4ohvPGKW11U2aOaJQ158yost2ph06njfb41R1o18PL9yii0+s0LhBOQccCwDYp3MIRE8gIP28+o3T5XU7NefHryoY3tcTiEIgJCM+qgCAftbQGt0h4qqZw7R0a72+8ddlsrE3B5JU3eiPX77+4SWqbvAfcI6e2lTbLEmaXJGn3193km44fVS3AVBnPo9L4YhVIBTRxycN6rOxAMCxihAISG8jS7JVmhPdKTAYjigSsXKYA3cOA5IBlUAA0M/2xpaA/fDTx2twfqZ+8vI6XTVzmJ58b4eWb9+r9buiQc2PLz5ed/xjtS64503Nv+UM5Xp7v5NYx7lHlWQf8WN8nn2/GoYXZ/V6DABwrCvL9cQve+kJBKQlp8PIGCkUjihsLf2AkLSoBAKAfvLyqmpd99Bi/fHtrWoLhiVJ180ZLo/LoR+9sEZ/W7pdmRn7ApcrZgzTXZdO1u6WgLbUtXQ51wcf7dWLK3Ye9RgWbdqt/Cz3UYVAOd59Y6ooIAQCgMOhEgiAMUZuh0OBsFXEWqqAkLSoBAKAPnbHc6v16tpd2rK7VYPzon8YBEIRSdEqm7MnlOqFFdWSpD9+boam3PFK/LHlseP3tAS6nPNT9y6QJC397jkqyvboSFhrtWBDneaMKpLjKD6N8nUKptjqGAAOryMEcjnMYZfcAjh2uZ1GoXBExkhOQiAkKX5LAUAf+ufqXfr9gs3asrtVE8pzNf+WMzSy2KfzjtvXW+ea2cMlSZdMrVBellu/vWa6Hvv8TElSQVaGJGlv675m0h/uaopfvuLBRfrfl9ZqyZY9hx3LproW7Wzw6+TRxUf1GjqWg1UWUQUEAEeiyJchl8NQBQSkOZfToWA4onCE7eGRvKgEAoA+0twe0vefWalxZTm669LJGl+eI4/LqX994/QuJcGzRhZp4bfPilf9nDOxLH5fRwjUuRLo9udWqdCXoVvmjtMDr2/U/a9F/50yulhD8jNV29yun142RYW+jPhjNte16FevbpAknXKUIZA/tnRt6rCCo/wKAEB6cjiMSnM8CoTt4Q8GcMxyOx0KRqyMsewMhqRFJRAA9JGfvrxO1Y1+/c8lx2vK0Hx5XNFPhLtbEz44P7Pb23Mz3XIYaW/rvhBoXXWT5h5XpitnDNMrXz9NV5w0VJL01oY6vbByp95YX6ufvLyuy3kuuOdNPfX+Dg3K9WpY4dFV9Jw1oVSXTK3Qdy+YcFSPA4B0VprrVWYGb62BdOZ2GgVDEUWsPaql+MBAohIIAHqpyR/UZQ+8rbXVTbpmdmWvKmicDiOPy6l7Xt2gq2dXypfhUl1zIN6g2eNy6pvnjdfe1qD+39yxGlGcrZuf+ED/XL1LP/r0JG3Z3apfv75RrYFoNU9upuuoGxPmet362eVTevwaACAdjSrJZvkHkObcTodCEatwxNITCEmLEAgAeuntjbu1tjrat+cb547r9fk6dhL71K8W6P/NjZ6vczVPoS9DD3x2Wvz67JFFeuaDKm2sbdbX/7JMK3Y0xO/7n4uP7/V4AACHd/uFExVkORiQ1lxOo0A4Iq91UAmEpEXNKgD00sqqRknSm988U3lZ7l6f7+OTok2kG/0h3fzEMkk65JKuE2OVR/PW1HQJgG47f4KmVRb2ejwAgMPL8bq79GYDkH4ynA6FwhFFIqInEJIWlUAA0Eurqxo0ujRbQ4+y987B3H/1NFlr1dgW0osrd2pDTbMmDs496PEdu3jd++oGOR1Gc0YV6c0P61Sae2RbyQMAAKD3XE6jYNgqbFkOhuRFCAQAvWCt1dKt9TprfNnhDz4KxhjlZbl1xYxhhz3W63aqPM+rnQ1+fXLKYP3k0sn68+JtmttpW3oAAAD0L3dsi/hIhMbQSF4sBwOAXthQ06z61qBmjkjssquOaqAvnDpCXrdT150c/S8AAAAGhtsRDYHC1tIoHkmLSiAA6IW/LPlIxkizRxUldBwXTB6s4UU+Ta7IT+g4AAAA0pXbZdQejChiJQfLwZCkCIEAoIe27W7VH97eosunDe2zfkA99dlZlQl9fgAAgHTncjjUHA5Fl4ORASFJsRwMAHrof19aK5fDoZs/NjbRQwEAAECCuTsaQ0dYDobkRQgEAD2ws6FNz6/YqetPGa6yXG+ihwMAAIAE62gMHbaW5WBIWoRAANADb35YJ0n6xOTBCR4JAAAAkoHL6VAoYmUJgZDECIEAoAcWbdqt4uwMjR+Uk+ihAAAAIAm4nUaBUITlYEhqhEAA0APrqps0cXCeDJ/yAAAAQFJWhlOtgZDCVnIQAiFJEQIBwH4a/UFd99BivbSyOn6btVZ/WLhFS7fuUThitaGmWWNLsxM4SgAAACST0hyv6luD8gfDcpIBIUmxRTwA7Gf5Rw16bV2tXltXq19eeaI+OWWwapra9V/PrpLDSKeNLVF7KKKxZSwFAwAAQFRpjkeStKvRr5JsT4JHA3SPSiAA2M+Ova2SpLxMt37y8jqFwhFt3R29bdKQPL22rlYnDsvX3EmDEjlMAAAAJJGOHWOrG/wsB0PSohIIAPazvb5NDiP9z8XH68bH3tOzy6oUsdH7fnHFiSrJ8ciX4aQfEAAAAOJKYpVA7aGInLxPRJKiEggA9rOjvk2Dcr0677hBGj8oR7+av0ErdzTIYaQh+ZnK9rgIgAAAANBFRyWQJHYHQ9IiBAKQNl5fX6vdze2HPW57fZuGFGTK4TD62jljtam2RQ8v3KJJQ/KU4eLHJgAAAA5U5MuIhz98XohkxXIwACnHWnvUlTg7G9p07e8Xa9KQXN39mRN0+a8XyUj6z3PG6LOzKtUWDCsrI/ojcVNds84aXypJOm/SIN131VRt2d2iK08a1tcvBQAAAMcIh8OoJNuj6kY/lUBIWoRAAFLOhb9aIH8wrH/efLok6YHXN8ofDOtr54yVJG2oaZbH5dDQwixJUpM/qNn/86okaeWORp3zf2/Ez/X9Z1bpH8t2avGWPZKk608eobrmgEaW7Nv+/fzjywfkdQEAACC1leXGQiBKgZCkCIEApJwVOxrilyMRqx+/uFaS9LGJg/TQgs3623vbdVJloZ740mxJ0rtb6+PHf/eCCbrz+TWSpC+fMUoFWW796IW18ft/v2CzJGlksa/fXwcAAACOLSU5XkkN7A6GpEUIBCCl+IPh+OWHF2yO/aKNOv+eN+V2Gg3Oy9SW3S3x29dVN0mSln73HBVle3ThlMHKzXTL63ZKkk4fW6q5d0erg7561mg9umirJlfkD8TLAQAAwDGkLDe6QxgZEJIVIRCAlBAKR3ThrxbI0akv8+3PrZYkjSnN1ujSbC3atFt//dIcPb98p34+b73aQ2F5XE6tr27SoFyvirKjv5RLO+3cIEnjBuXojVvOVFVDm2aNLNLN545l9y8AAAActY4dwugJhGRFCAQgJWzd06rVOxuV4+n6Y+vGM0bpprPHKMPpUHsooswMpwbnR3/5Vjf4VZzt0avrajRnVNEhzz+sKEvDiqI9hAiAAAAA0BOlOR2VQLyfRHIiBAKQEj7cFV3S9cjnZ8rlMPrEL9/SL644QRedMCR+TGZGdHnXkPxMSdL8tTUKRaz2tgb176eMHPhBAwAAIK10VAIRAiFZEQIBSAnrdzVLii798nlc+vCHH5fb6ej22LGDciRJP5/3oTLdTs0cUahplQUDNlYAAACkp5JYJRDLwZCsuv8LCgCSiLVWzy/fqQnlufLFloMdLACSpOJsj/73kuPV0BZUdaNfN545eqCGCgAAgDRGJRCSHSEQgKS3sbZZ63Y16epZw474MR2VP8cNztVpY4r7a2gAAABAXJEvQ06H0SE+rwQSiuVgAJJeXXNAkjSiyHfEjxlZnK3Lp1fo0mlDafQMAACAAeFwGI0flKNBeZmJHgrQLUIgAEmvviUaAhX4Mo74MQ6H0V2XTumvIQEAAADdevLGOXI5KAVCciIEApD06luDkqSCrCMPgQAAAIBE8LiciR4CcFDEkwCSXn1rtBIoP8ud4JEAAAAAQOoiBAKQ9Pa0BOTLcMrr5lMVAAAAAOgpQiAASWNXo1/hiD3g9vqWwFH1AwIAAAAAHIgQCEBS+GhPq067a76++/SKA+6rbW6nHxAAAAAA9BIhEICkcPe8D9UeiujPSz7Siu0NsjZaEdQeCmvp1nodX5GX4BECAAAAQGojBAKQcM8uq9KT72/XlTOGKi/TrU/+6i3d+Nh7kqT5a2vVGgjrnAmlCR4lAAAAAKQ2QiAACeUPhvXfz67S5CF5uvX8Cbrt/AmSpBdXVmtTbbPunrdelUVZOnVMSYJHCgAAAACpjRAIQEI9v3yndrcEdMvc8crxunXZ9KF6/qZTJEk3Pvae1lY36eZzx8rt5McVAAAAAPQGf1UBSS4Ujmjp1vp4j5xjibVWDy/cotGl2Tp5dFH89uMG52lCea7WVjdpQnmuPjl5cAJHCQAAAADHBkIgIEm1h8LaUteiGx5ZqkvuX6hH39mmv777kay1en9bvV5fX3vQx67Z2ahnPtihUDgygCM+OquqGnTrUyu1YkeDrp0zXMaYLvdfO7tSkyvy9D8XHy+HwxzkLAAAAACAI+VK9AAA7PPyqmoFwxFNqcjXg29s0iOLtsbv+97TKyVJ89bs0surdkmStvz4gi6Pj0SsHnhjo372ynqFI1Yba1t087ljB+4FHIXPPbRENU3tkqSLTxxywP1XzBimK2YMG+hhAQAAAMAxixAISBLhiNVX//S+AvtV7/zmmun6wT9Wa9ueVjkdRit3NMbvq2nyq7EtqP9+brV+cNEk/fCFNfrn6l26YHK5PtrTqj+9sy0pQ6D7XtsQD4AunVYhn4cfRQAAAADQ31gOBgyg+WtrtKGmKX690R9UMBb67Gr0KxCO6Lo5wzWhPFeSdPLoIp07sUzTKws0otintT84Twu+fZb+9IWZkqQV2xv03adX6s0P6/Stvy/XP1fv0pfPGKVfXXmizhhborrm9oP2Evrxi2s1/NvPJ6TX0F0vrZMkXT1rmH706eMH/PkBAAAAIB3x8TswABr9QU2/c54CoYhyvC794foZqijI1NyfvyGnw6F/mzlMp4wuliSdMa5Et8wdpxseWaqbPxat4vnRxccrEI7Ed8g6YWi+CrLc+tbfl6uuOaCRxT69s3mPJOnCKYNljFFmRnR6+4MRZWY4DxjTA69vlCRVN/pVluPV7xds1sVTK1Toy+jXr4W1Vh6XQ06H0bfOG68MF1k0AAAAVORO1AAAIABJREFUAAwE/voC+llrIKTvPb1SgVC04sda6eL7FmrGD/+l+tagJpTn6J5/fahHY/1/Kgoy5fO49OjnZ2rqsAJJktftVK7XHT9nVoZLP75ksuqaAzpucK4e+fxM5XhcqizK0riynNgxzvjzH8ranU16Z/Me3fn8Gk39wT/19Ps7+vxrIEUbQT++eJtqm9vVHorom3PHKafTawIAAAAA9C8qgYB+8uGuJt3/2ka9t61eW3a3xm9/6sY5unf+Bj2zrErf+fh4XTljmI6//RU9u6xKkjQ4P/OIzj/3uEF64OqpOm5wnobkZ+r9758rY0x8J63MeAgUVtF+j20PheOXV1U1qDTXG7/+9Sc+kMNhdOGU6Lbsu5vb9bu3Nuums8fI6z6wouhIhMIRXXL/QvmDEY0o9kmSKot8PToXAAAAAKBnCIGAfnLPqxv03LIq5XpdOnl0kfIzM3TRCYM1pixHd19xon58yeQDQpVzJ5YpK+PIp+V5k8rjl13OroV9mbFztwRC+sfyKp0/qTweEO2ob4sf99Kqas0asS8mKsjK0E2Pv69H396qAp9b1kqvrN6lOaOKdcqY4iP/AnSyqa5F/mBExdkejSz2aWxZtqYNL+jRuQAAAAAAPUMIBPSTjTXNyvG6NO/m07tU2nTorqrml1ee2GfP37Ec7LllVbp3/kb9+YsezRoZDXtqYztznTOhVPPW1GhvazD+uB9+apK+/Nh7WrxlT5fz7W5p7/FYahqjj73vqqmaMaKwx+cBAAAAAPQcPYGAfvDiip1avbNRV8+q7DYA2t/TXzlZv71meo+XW3WnYznYgg27JUl7WgLx+zq2Z7/+lBFyOoy2d6oMmjO6a7XP+EE5Bzy+s9ZASI8v3qbQflvbd1bT5JckleR4jvZlAAAAAAD6CCEQ0A8ee2ebJMX76hzOCUPzdc7Esj4dQ8dysOXb90qS1lY3acGGOkn7KoEmDMrVabElXq7YUrG8TLcqi7IkSX/54iw9+vmZcpiDh0A/fH6NvvPkCs1bU3PQsXQ8HyEQAAAAACQOy8GAfrCptlmfPnGIJpTnJmwMHb2FIjZ6/Z5/fShJWvZfH1NNU7vcTqP8LLcumVah+etq9ejnZ8aXiz1/06kKh63ysqK7dxX6MlTXvC8EaguE9dNX1mlYYVY88Hrzw1qdN2lQt2OpbWpXptspXzdb1QMAAAAABgYhENDHWgMhVTX447tgJUrWQQKXX8z7UC+vqlZJtkfGGF1wfLnKv+yNb0cvSdmerj8aCn0ZevaDHfrvC49Thsuhxxdv0+/e2ixJGlHs08hin55dVqWvnztWxdkHVvvUNLWrNDf6fAAAAACAxGA5GNDHlmyplySNLElsCJTZKQTqWOolSb9fsFk79rZpZqzqxxijaZWFhwxodjW2qyUQ1oNvbJQkvbhypzJcDn3h1BH6zTXT9Z3zJ6jJH9Ljsaqg/a3f1aShBVl98bIAAAAAAD1EJRDQh9ZVN+mmx99XZVGWTh1TktCxdPQEKvRlqDg7Q+t3NeuCyeX6/icmyukw3VbsHMydn5qkrz7+vn76ynoVZ3u0rrpJl02r0G0XTIwfM2N4oZ5bXqWvnj2my2N3Nfq1trpJ3zpvSN+8MAAAAABAj1AJBPShLz+2VF63Q4/++0zlZboTOpaOEGhKRZ5yvdGxDC/KUlmu96gCIEn65JTB+t210zUo16tvP7lCjf6QxsV2Ddt3TLnW72rWgg11aui05fx7W6OVUbNHFfXm5QAAAAAAeokQCOgj4YjV5roWXT59qIYWJn7pk8NhNGNEoc4/vlxledFt6gflZfb4fGdPKNOb3zpTF0wulyRN3K/p9cePL5fLYXTVb9/RiT94RRtqmiVJm+paJEmjS7N7/NwAAAAAgN5jORgQs6qqQaNLs+Vx9WwHqyZ/UNZK+VkZfTyynnvihtmSpPMmDdKpo4v1iSPcsv5g3E6H7rniRF1/8ghNHZbf5b7ibI+e+NJsvbe1Xnc+v0bLt+/V6NJsbalrUUmO54Bm0wAAAACAgUUlECDpoz2tuuCet/SlR5b2+Bx7Y0ug8hO8DKw7OV63rpgxrE+CGKfDaFplQbeNpKcOK9C1c4bL5TDxSqAtu1s0oiixTbIBAAAAAIRAgCTppZXVkqT562rlD4a7PWb+uhp95U/vHfQce9tiIVBW8oVAA8ntdKiyKCseAm2ua9Xw4sQvjwMAAACAdEcIhLRX19yuB17fGL9e3eDv9rjPPbREzy/fqVA40u39e1sDkgiBJGlUSbY21jaryR9UXXO7hhdTCQQAAAAAiUYI1E8iEavgQcICHBlrbb+ef+HGOn3jiWX69t9XqKk9pNs/Gd3uvKqh7ZCPaw/t+742tAUVjtj4ZUnKy0yenkCJMro0W1t3t+rDWDXQSEIgAAAAAEg4QqB+cutTKzTmthcTPYyUNX9djSZ+/2U988GOPj1vXXO7dje3S5I++7vF+vt72zVvzS59c+44nTm+VJJUtbf7SqAOgVgItKcloJPunKcbHnk3Oua1NZKoBJKiIVAoYvX6ulpJohIIAAAAAJIA2/X0kz8v+UiS1NIeko9dkY7az15Zp7ZgWPPW1OiiE4ZIknY1+lXky5DL2bPsMhKxOv8Xb6qmqV2Fvox4Bc+skYW6/uQRCkai4U7V3iOrBPrzkm0KhCOat6ZGjyzaqqc/qJIk5SVhY+iB1rEd/Curd0mSKgsJgQAAAAAg0Y7or2ljzHnGmHXGmA3GmG93c78xxtwTu3+5MWZq3w81NS3eskc1TYeuLEFX66qbtHJHoyTpuWVVqmnya3VVo2b+6F96aMGWHp939c5G1TS164LJ5TpxaL6unDFM824+Xb+79iQ5HEYel1NDCzO1dGv9Ic/TUQlUtbdN2R6XxpRm6/ZnV0mSLp1WIXcPQ6pjydiyHGU4HVqzs1GD87zKzHAmekgAAAAAkPYOW6JijHFKulfSuZK2S1pijHnWWru602EflzQm9m+mpPtj/z3mff+ZlcrMcKoiP1OLNu3R2upGnTqmJH7/5x5aoilD8/X0jXO63VIbB7p3/gZlZTh13Zzhuu+1jTr9rtdUkuORJK2saujROdsCYX3il29Jkm47f4IG52d2e9ynTxiiX87foO31raoo2Lej1Vsf1sUvt4eiu4fVtwRVmuvRjy4+Xpc98LZcDqM7PzWpR+M71njdTp0wNF+Lt+xhKRgAAAAAJIkjKVmYIWmDtXaTtTYg6c+SLtrvmIsk/dFGLZKUb4wp7+OxJh1rreqa2/XbNzfre8+s0osrd8rtdOjhhVu6HLfso716Z/OexAwyhUQiVuuqm/Tc8ipdM3u4vn7uWP31S7N11vhSbdvTKklqDXS/ffvmuhYt2rT7oOfeWBttUHzqmOKDBkCSdPlJQyVJT7y7PX6btVZX/+6d+PX2Tj2BCrMydNLwQt1w2kjNnTRIXjcVLx3OnhDtseR0EH4CAAAAQDI4kmY1QyR91On6dh1Y5dPdMUMk7ezV6JKcMUb3XTVNNU1+vba2VudOLJPP49LF9y+IL2fq8OvXN2rWyKIEjTT5BcMRnfWz1/TRnmg/ni+cOkJup0MnDS/UScML9aPWoL72l/e1s6FNDW1B3fmP1bpl7jiV5nolSWf+9DVJ0pYfX9Dt+TtCoO9eMPGQ46goyNLpY0v0xJKPdNNZo+VyOjRvTU2XYzqHQJVF0Wqh75w/oWcv/Bh23cnDtbKqUZ+ZPjTRQwEAAAAA6Mgqgbr7GH//vbuP5BgZY75ojHnXGPNubW3tkYwvJZTmeHX5SUNV4MtQhsuhuz9zgoqzPfH78zLdmr+uVuuqm474nH9YuEXn3f1Gfww3KVU3+OMB0K3nj1dRp6+fJOVluTU4P1NVe/16fPE2/XXpdr2+/sD/hzqWau1vY22LHEbx0OZQrjhpmKob/frGX5fp+oeX6EcvrNHIYp8e+fcZXZ5jT2tAhT62gz8Yj8upX155ok4ZU5zooQAAAAAAdGQh0HZJnT/Kr5BU1YNjZK190Fo73Vo7vaSkZP+7jxmjS3O05LazlRVrhvuZ2BKjN/YLLR5fvC1eobK//3p2ldZWN6nRH+zfwQ6wF1fs1Acf7T3g9urGaPPsP14/Q188bVS3j60oyNKeloAejjWH3l5/4C5euxrau33stt0tKs/LPKLlWudOLNNxg3P1zAdVenVtjTbXteg750+I7/IWCEVkrVV9CyEQAAAAACB1HEkItETSGGPMCGNMhqQrJD273zHPSromtkvYLEkN1tpjeinY4Rhj4rtEDS/yqSDLrU11+wKfUDii7zy5Qp+6d8Ehz7OlrqVfxzmQIhGrW/62XFc8+LYWbKjrcl/HtuyD870HffykIbmS9gVGO7rZyr2qofvt3Xe3BFSc4+n2vv05HUZ3XHRc/HpxtkfnTChVRuz72R6KqNEfUihiCYEAAAAAACnjsD2BrLUhY8x/SHpZklPS7621q4wxX4rd/4CkFySdL2mDpFZJn+u/IaeOjhAo2+vSqJJsbazdF+jsbYtW+DT5Q/Hblm6t16gSn/Kz9gULm2pbNLkif4BG3L9eX1+r5vaQMlwOXfP7xQpHrH562RRdOq1C1Q3RYGdQ3sGbNnd8HUpzPCrPz9T2+miz6HBk38rDl1ZWa0h+pq767Tv6zTXTNW5QjqRo/56y3IMHTPubVlmol792mloCIVUWZskYI687+v0MhCJqjH3/8jLdR/EVAAAAAAAgcY6kMbSstS8oGvR0vu2BTpetpK/07dBSn9sZbZWU7XFqZIlPr67dtxysviXQ5dhwxOqS+xdKkpbcdo4yXA4FQhFtOkYqgepbAvrcw0skST/81CTd8rfl0cvPr9al0yq0s8GvHK9L2Z6D/y+Zl+nW5dMrNK2yQIs27dHi2I5r9a37vpYPL9yirAyntu1p1fvb6uMhUH1LQBPKc49qzB2P7ZDhjC4law9F1BALgXIJgQAAAAAAKeJIloOhh+KVQB63RpZkq665Pd7jp761a6+fPZ1CoVPvelWB2A5UVd0seUpF78QCG0k6e0JZ/HLH9uE7G9pUnnf4Sp27Lp2iz5w0TGPKsrVjb5seWbRVNz76niTplNHRBsSPLtoqSaqKVRdZa7W7D/r3eKgEAgA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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(core_portfolio_returns)\n", + "plt.plot(SP500_daily_returns)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(core_cumulative_returns)\n", + "plt.plot(Sp500_cumulative_returns)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.013021605893950699\n", + "0.0008521218194888947\n", + "SP500 0.01216\n", + "dtype: float64\n", + "SP500 0.000471\n", + "dtype: float64\n" + ] + } + ], + "source": [ + "#calculate Std Dev of Portfolio\n", + "\n", + "print(core_portfolio_returns.std())\n", + "print(core_portfolio_returns.mean())\n", + "\n", + "print(SP500_daily_returns.std())\n", + "print(SP500_daily_returns.mean())" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.0388130801041227" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sharpe_ratios = (core_portfolio_returns.mean() * 252) / (core_portfolio_returns.std() * np.sqrt(252))\n", + "sharpe_ratios" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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2015-11-192081.23999036.10859713.07000030.45826377.87000327.049994120.22000180.63999999.63106.2653.94162.83359.0976.38110.63103.37
2015-11-202089.16992236.40472812.85000030.72252579.94999726.957846123.83999680.989998100.49107.3254.19163.10362.4676.37112.97104.62
2015-11-232086.59008836.21963912.12000030.26252481.30999826.245783125.02999980.77999999.94106.9554.19163.45363.2576.15112.16105.47
2015-11-242089.13989336.51577012.02000030.50720680.86000126.781923123.30999880.38999999.26105.7454.25162.19356.8175.62113.19105.49
2015-11-252088.87011736.33070011.90000030.46805481.70999927.535873124.16000480.41000499.09105.4153.69162.39360.6276.01114.41106.46
...................................................
2020-09-253298.45996159.799999157.720001514.950012271.08999636.049999482.880005242.740005239.81254.82207.82342.58547.81125.22302.50120.25
2020-09-283351.60009859.580002160.759995521.400024276.01001036.389999490.649994246.669998240.00256.82209.44349.62558.65128.55303.23121.74
2020-09-293335.46997159.470001164.809998529.030029276.92999336.169998493.480011247.449997240.12261.79207.26352.14554.80127.49304.15120.33
2020-09-303363.00000059.700001162.550003541.219971293.98001136.700001500.029999251.320007241.73261.90210.33355.00563.55128.22311.77122.08
2020-10-013380.80004959.680000168.490005544.580017290.04998836.369999527.510010253.449997242.15266.63212.46358.46567.91128.04313.07121.78
\n", + "

1225 rows × 16 columns

\n", + "
" + ], + "text/plain": [ + " SP500 ORCL SQ NVDA BABA \\\n", + "2015-11-19 2081.239990 36.108597 13.070000 30.458263 77.870003 \n", + "2015-11-20 2089.169922 36.404728 12.850000 30.722525 79.949997 \n", + "2015-11-23 2086.590088 36.219639 12.120000 30.262524 81.309998 \n", + "2015-11-24 2089.139893 36.515770 12.020000 30.507206 80.860001 \n", + "2015-11-25 2088.870117 36.330700 11.900000 30.468054 81.709999 \n", + "... ... ... ... ... ... \n", + "2020-09-25 3298.459961 59.799999 157.720001 514.950012 271.089996 \n", + "2020-09-28 3351.600098 59.580002 160.759995 521.400024 276.010010 \n", + "2020-09-29 3335.469971 59.470001 164.809998 529.030029 276.929993 \n", + "2020-09-30 3363.000000 59.700001 162.550003 541.219971 293.980011 \n", + "2020-10-01 3380.800049 59.680000 168.490005 544.580017 290.049988 \n", + "\n", + " PFE NFLX CRM AMT FB MSFT COST \\\n", + "2015-11-19 27.049994 120.220001 80.639999 99.63 106.26 53.94 162.83 \n", + "2015-11-20 26.957846 123.839996 80.989998 100.49 107.32 54.19 163.10 \n", + "2015-11-23 26.245783 125.029999 80.779999 99.94 106.95 54.19 163.45 \n", + "2015-11-24 26.781923 123.309998 80.389999 99.26 105.74 54.25 162.19 \n", + "2015-11-25 27.535873 124.160004 80.410004 99.09 105.41 53.69 162.39 \n", + "... ... ... ... ... ... ... ... \n", + "2020-09-25 36.049999 482.880005 242.740005 239.81 254.82 207.82 342.58 \n", + "2020-09-28 36.389999 490.649994 246.669998 240.00 256.82 209.44 349.62 \n", + "2020-09-29 36.169998 493.480011 247.449997 240.12 261.79 207.26 352.14 \n", + "2020-09-30 36.700001 500.029999 251.320007 241.73 261.90 210.33 355.00 \n", + "2020-10-01 36.369999 527.510010 253.449997 242.15 266.63 212.46 358.46 \n", + "\n", + " BLK TROW UNH PPG \n", + "2015-11-19 359.09 76.38 110.63 103.37 \n", + "2015-11-20 362.46 76.37 112.97 104.62 \n", + "2015-11-23 363.25 76.15 112.16 105.47 \n", + "2015-11-24 356.81 75.62 113.19 105.49 \n", + "2015-11-25 360.62 76.01 114.41 106.46 \n", + "... ... ... ... ... \n", + "2020-09-25 547.81 125.22 302.50 120.25 \n", + "2020-09-28 558.65 128.55 303.23 121.74 \n", + "2020-09-29 554.80 127.49 304.15 120.33 \n", + "2020-09-30 563.55 128.22 311.77 122.08 \n", + "2020-10-01 567.91 128.04 313.07 121.78 \n", + "\n", + "[1225 rows x 16 columns]" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "portfolio_5yrs = combined_portfolio_df.drop(columns=['MCD', 'VZ', 'JNJ', 'CLX', 'WMT', 'NEE', 'GD', 'MMM', 'ACN', 'UPS', 'HD', 'SBUX', 'PSX'])\n", + "portfolio_5yrs" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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JkiRJkiRJkqRupHfv3ixcuJCZM2cyaNAgrrrqKh588EEArrnmGvLz83n55Ze58847AfjBD37AsmXLeO2119i+fTt33HEHkNxTa28hhEbbD5aVWpIkSZIkSZIkSR1gfxVVbSmRSDB58mQmT57MSSedxK9+9Svg/T216ho6dCgAOTk5XHfddelk15FHHsmaNWvS/dauXcuwYcOoqKhosP1gWaklSZIkSZIkSZLUjSxfvpyVK1emzwsLCzn66KMb7b9hwwYgWZn1hz/8gXHjxgEwZcoUfv3rXxNj5NVXXyUvL4+hQ4cyceJEVq5cyapVq6ioqGDWrFlMmTLloOO2UkuSJEmSJEmSJKkbKSkp4ctf/jI7duwgMzOT0aNHM3PmTK644ooG+19zzTVs2bKFGCP5+fn84he/AODjH/84Tz31FKNHj6Znz5488MADAGRmZvKzn/2Mj33sY1RXV/PZz36WsWMPviotNLSuYUebMGFCXLBgQUeHIUmSJEmSJEmS1KreeustTjjhhI4Oo9No6H2EEBbGGCfs3dflByVJkiRJkiRJktTpmdSSJEmSJEmSJElSp2dSS5IkSZIkSZIkSZ2eSS1JkiRJkiRJktTtxJoaNt3xQyrWruvoUNRMJrUkSZIkSZIkSVK3U/7mm2x/4AE23HxzR4eiZjKpJUmSJEmSJEmSup2a8j0dHYIOkEktSZIkSZIkSZLU7cSKZFIr5OR0cCQdY+3atVx88cUce+yxjBo1in/5l3+hoqKCuXPnkpeXxymnnMLxxx/P17/+9fSYkpISPv/5zzNq1CjGjh3L2Wefzfz58wHo3bt3m8dsUkuSJEmSJEmSJHU7saIC6J5JrRgjl112GZdccgkrV65kxYoVlJSU8O1vfxuASZMm8cYbb/DGG28we/ZsXn75ZQD+8R//kf79+7Ny5UqWLFnCgw8+yNatW9st7sx2u5MkSZIkSZIkSVInUbOntlIru4MjaX/PPfccPXr04LrrrgMgkUhw9913M3LkSM4999x0v9zcXPLz81m3bh3vvPMO8+fP56GHHiIjI1kzdcwxx3DMMce0W9z7TWqFEP4LuAjYHGMcl2p7GDgu1eUwYEeMMb+BsUVAMVANVMUYJ7RS3JIkSZIkSZIkSS0Wy8sByMjuwEqtOTfDxr+17pxDToILb2+yy5IlSzjttNPqtfXt25fhw4fz9ttvp9vee+89Vq5cydlnn81f//pX8vPzSSQSrRvvAWjO8oMPAhfUbYgxXhVjzE8lsh4DHm9i/Lmpvia0JEmSJEmSJElSp1BTWgp03+UHQwiNtr/44ouMHz+eIUOGcNFFFzFkyJAOiHJf+63UijG+EEIY0dC1kHziK4EPt25YkiRJkiRJkiRJbSed1MruwOUH91NR1VbGjh3LY489Vq9t165drFmzhlGjRjFp0iRmz57NihUrOOuss7j00ksZO3YsixYtoqamJr38YHs72LtOAjbFGFc2cj0CfwkhLAwhXN/URCGE60MIC0IIC7Zs2XKQYUmSJEmSJEmSJDWuNqlFAxVLh7rzzjuPsrIyfv3rXwNQXV3N9OnTufbaa+nZs2e635gxY/jmN7/JHXfcwahRo5gwYQLf/e53iTECsHLlSv74xz+2W9wHm9S6Giho4vqHYoynAhcCN4QQzm6sY4xxZoxxQoxxwqBBgw4yLEmSJEmSJEmSpMZVp5JasaqygyNpfyEEnnjiCR555BGOPfZYxowZQ48ePbjtttv26fuFL3yBF154gVWrVnHfffexceNGRo8ezUknncQ//dM/MWzYMADKyso48sgj05+77rqr1ePe7/KDjQkhZAKXAac11ifGuD715+YQwhPAB4AXWnpPSZIkSZIkSZKk1lBbqRUru19SC+Coo47iySef3Kd98uTJTJ48OX2em5vLunXr0uf33ntvg/PV1NS0eox7O5hKrfOBZTHGtQ1dDCH0CiH0qT0GPgosPoj7SZIkSZIkSZIktYqa0rLkQWVVxwaiZttvUiuEUADMA44LIawNIXwudWkqey09GEIYFkJ4KnU6GHgphLAI+Cvw5xjj060XuiRJkiRJkiRJUsukK7WqTGp1FftdfjDGeHUj7dc20LYe+Hjq+O/AyQcZnyRJkiRJkiRJUqszqdX1HMzyg5IkSZIkSZIkSV2SSa2ux6SWJEmSJEmSJEnqdt5PalV2cCRqLpNakiRJkiRJkiSp26lNalFppVZXYVJLkiRJkiRJkiR1K7GmptsvP3jrrbcyduxYxo8fT35+PvPnz6eiooKvfOUrjBo1itGjR3PRRRfx7rvvdnSoaZkdHYAkSZIkSZIkSVJ7qikthRgBiJXdb/nBefPmMXv2bF5//XVycnLYunUrFRUVfOtb36K4uJgVK1aQSCR44IEHuPjii1m4cCEZGR1fJ9XxEUiSJEmSJEmSJLWjmuLi9HF3rNTasGEDAwcOJCcnB4CBAwdy2GGH8cADD3D33XeTSCQAuO666+jduzfPPvtsR4abZqWWJEmSJEmSJEnqVqqLS9LHHZnUuuOvd7Bs+7JWnfP4/sfzrx/41yb7fPSjH+WWW25hzJgxnH/++Vx11VX069eP4cOH07dv33p9J0yYwNKlS/noRz/aqnG2hJVakiRJkiRJkiSpW6kpSVZqZfTqBVXdb/nB3r17s3DhQmbOnMmgQYO46qqreP755wkh7NM3ppZp7Ays1JIkSZIkSZIkSd1KdWr5wUS/fsTKtqvUqqmooHzxYnLz8wkN7Em1v4qqtpRIJJg8eTKTJ0/mpJNO4pe//CWrV6+muLiYPn36pPu9/vrrXHHFFR0WZ11WakmSJEmSJEmSpG6lJrX8YKJfvzZdfrBs3jxWf/oaSl9+uc3u0RLLly9n5cqV6fPCwkKOO+44PvOZz/C1r32N6upqAH7961/To0cPPvShD3VUqPVYqSVJkiRJkiRJkrqV6uJdACT696Nqy5Y2u0/xs8+S0asXPU8/vc3u0RIlJSV8+ctfZseOHWRmZjJ69GhmzpxJnz59+MY3vsFxxx3H7t27GTRoEPPmzWtwWcKOYKWWJEmSJEmSJEnqVmortTIPa7tKrVhdTfH/PEfvc84hIzu7Te7RUqeddhqvvPIKS5cu5c033+Txxx9n4MCB5OTkcM899/D222+zcOFCAH7zm990cLTvs1JLkiRJkiRJkiR1KzUlxZCVRUavXsTKyja5R8W771K9fTu9OsnSfQdqyJAhFBYWdnQY9VipJUmSJEmSJEmSupXq4mISvXsTsrKgjZJa1du2AZA5ZHCbzN8dmdSSJEmSJEmSJEndSk1xCRl9+xCyMtts+cGqbdsByBwwoE3m745MakmSJEmSJEmSpG6lungXid59ILMtk1pbAZNarcmkliRJkiRJkiRJ6lZqikvI6NOHkJkFNTXEmppWv0f1tu0QAol+/Vp97u7KpJYkSZIkSZIkSeo2YnU1FWvXkDlgACEzM9nWBtVaVdu3kTjssPQ9dPBMakmSJEmSJEmSpG6j7LUFVG/ZSp/zPkzISiWcKitb/T7VW7eRGNC/1edtDSEEpk+fnj6/8847mTFjBnPnzuXMM8+s17eqqorBgwezYcMGrr32WkaOHMnJJ5/MmDFjmDZtGuvWravX/4knniCEwLJly1o9bpNakiRJkiRJkiSp29g5+0kyevak97nntnGl1nYyBwxs9XlbQ05ODo8//jhbt26t13722Wezdu1aioqK0m3PPvss48aNY+jQoQD86Ec/YtGiRSxfvpxTTjmFc889l4qKinT/goICzjrrLGbNmtXqcZvUkiRJkiRJkiRJ3UJNRQXF//0X+nzkfDJyc6E2qdUWlVrbtpHZSSu1MjMzuf7667n77rvrtWdkZPCpT32Khx9+ON02a9Ysrr766n3mCCHw1a9+lSFDhjBnzhwASkpKePnll7n//vvbJKnlQo6SJEmSJEmSJKlbKH3hBWqKi+l70UUAhKwsoI0qtbZtI9F/QJN9Nt52G3veat1l+nJOOJ4h3/rWfvvdcMMNjB8/nptuuqle+9VXX83111/Pv/7rv7Jnzx6eeuqpfZJfdZ166qksW7aMiy++mD/84Q9ccMEFjBkzhv79+/P6669z6qmnHvQz1bJSS5IkSZIkSZIkdQs7Z/+ZRP/+9ErtGxUy2yapVV1SQk1xMZmDD2/VeVtT3759mTZtGvfcc0+99okTJ1JSUsLy5cuZM2cOZ5xxBv369Wt0nhhj+rigoICpU6cCMHXqVAoKClo1Ziu1JEmSJEmSJEnSIa+6pISS55/nsCuuSO+lFbLaZvnBynffBSD76KOb7Neciqq29JWvfIVTTz2V6667rl771KlTmTVrFm+99VaDSw/W9cYbb3Deeeexbds2nnvuORYvXkwIgerqakII/PCHPySE0CrxWqklSZIkSZIkSZIOeaUvvkjcs4e+n/hEuq02uUUrV2pVNDOp1dH69+/PlVdeyf3331+v/eqrr+a3v/0tzz33HFOmTGlwbIyRe+65hw0bNnDBBRfw6KOPMm3aNFavXk1RURFr1qxh5MiRvPTSS60Wr0ktSZIkSZIkSZJ0yKvashWA7JEj3m9MJbVae/nBitWppNaRR7bqvG1h+vTpbN26tV7biSeeSM+ePfnwhz9Mr1696l37xje+wcknn8yYMWN47bXXeP7558nOzqagoIBLL720Xt/LL7+c3/3ud60Wq8sPSpIkSZIkSZKkQ15NWSkAiTpJmtBWSa13V5MYNJCMvRJCnUVJSUn6ePDgwZSVle3TZ9GiRfu0Pfjgg43OOXfu3H3abrzxxhbF1xgrtSRJkiRJkiRJ0iGvpqSEkJVFyM5Ot4XMLABiZesmtSpXv0v28M699GBXZFJLkiRJkiRJkiQd8qpLS8no3bteW8iqTWpV7n98SUmzKroq16+nbNEicseNa1mgapRJLUmSJEmSJEmSdMirKS3dZznA2vOa0pKGhqTFqipWTJjIxu9/f7/32TpzJgD9r/1MCyNVY0xqSZIkSZIkSZKkQ15Nadk+Sa1EXl8AqnfuanJs+fLlABTPebrJfpUbNrDjscc57PLLyBo69CCiVUNMakmSJEmSJEmSpENeQ5Vaibw8AKp37mhy7O43CgHIPnZ0k/223XsvAAOvv76lYaoJJrUkSZIkSZIkSdIhr8HlB/v0gRCo2dV0pdbuwmRSK9G7T6N9KjduZMcjj3LYpZeSNWzYwQesfZjUkiRJkiRJkiRJh7yGklohI4OMPn32v/zg0qXpORpTMncusbKS/tdee9CxtrVEIkF+fj4nn3wyp556Kq+88kq963fffTc9evRg586d6ba5c+eSl5dHfn4+48eP5/zzz2fz5s31xl188cWceeaZbRa3SS1JkiRJkiRJknTIqykpIaNXz33aE3l5VNdJ3uwtxkjlhg0AVJeUNNqvelcxAFnDOv9eWrm5uRQWFrJo0SJ+8IMf8M1vfrPe9YKCAiZOnMgTTzxRr33SpEkUFhby5ptvMnHiRH7+85+nr+3YsYPXX3+dHTt2sGrVqjaJ26SWJEmSJEmSJEk6pMUYqSktJdG79z7XEn37Ur2r8aRWzc6dxN27k8dNJLVqSkshI4OQk3PwAbejXbt20a9fv/T5O++8Q0lJCd///vcpKChocEyMkeLi4nrjHnvsMT75yU8ydepUZs2a1SaxZrbJrJIkSZIkSZIkSZ3ArmeeYcPN32xw+UGARF7fJiu1KjduTPbr33+/Sa2MXr0IITQ7thd/v4KtaxqfsyUGHtWbSVeOabLP7t27yc/Pp7y8nA0bNvDcc8+lrxUUFHD11VczadIkli9fzubNmzn88MOT8b74Ivn5+Wzbto1evXpx22231Rv33e9+l8GDB3PFFVfsU/3VGqzUkiRJkiRJkiRJh6RdzzzDuhv/Jb0XVkNJrYy8PGr22lOrfMUKYlUVQHrpwZzRo6kuKSHG2OC9asrKGpy/M6pdfnDZsmU8/fTTTJs2Lf1cs2bNYurUqWRkZHDZZZfxyCOPpMfVLj+4Zs0arrvuOm666SYANm3axNtvv81ZZ53FmDFjyMzMZPHixa0et5VakiRJkiRJkiTpkBFjpOS559h23/3sfuMNepx4IpXr1lG9c2fDlVp986je9X9APo0AACAASURBVH5Sq2LtOlZNuZj+n5nG4G9+k6pUpVbO6NGU/fWvxIqKBpcYbKwSrCn7q6hqD2eeeSZbt25ly5YtbNy4kZUrV/KRj3wEgIqKCo455hhuuOGGfcZNmTKFyy+/HICHH36Y9957j5EjRwLJJQ1nzZrF97///VaN1UotSZIkSZIkSZJ0yCj+77+w9oYvUbV5M4P/7d84+qHfknP88UDDlVqJvDyqd+5MVyrVlBQDUDrvVQAqN2yEzEyyUwmbxpYgbElSqzNYtmwZ1dXVDBgwgIKCAmbMmEFRURFFRUWsX7+edevWsXr16n3GvfTSS4waNQpILj349NNPp8ctXLiwTfbVslJLkiRJkiRJkiQdMqo2bwZgxCO/J7N/fwCyhx9F2fz5VBcX79M/kdcXqqupKS0j0bsXpPbEqtlTDkDlxg1kHj4o2Q+oKS6GAQOAZFXYhm//G30vvDCV1OrZ5s/XGmr31ILkM/zqV78ikUgwa9Ys5syZU6/vpZdeyqxZszj99NPTe2rFGMnLy+O+++6jqKiId999lzPOOCM9ZuTIkfTt25f58+dz+umnt1rcJrUkSZIkSZIkSdIho6asDICM3r3TbXmXXMKORx4ld9y4ffonDusHQPW2rSR69yLu2QNA3FMBQNWGjWQNGZqer7qkND22cs0adj7+OIk+vakpLSVrQP+2eahWVl1d3WD7qlWr9mm766670sc7d+5scNy6dev2aXv99ddbGF3jXH5QkiRJkiRJkiQdMmpKSyEri4zs7HRbz9NO4/gli8kdP36f/tlHDwegIrXEXk15skIrltdWam0ka8gQMnolk1p1lx8sW7AQgOrSUmpKS0l0weUHuxKTWpIkSZIkSZIk6ZBRU1pKRs99lwEMiUSD/Wv3yqooKgLer9Cqqagg1tRQtXEjmUOHkOhTm9R6fwnDsoULUm2lXXZPra7EpJYkSZIkSZIkSTpk1JSVHdDeVon+/cno06dOUuv9Sq3q7duJlZX1lh+s2r49PXb3wuQSezWlJrXag0ktSZIkSZIkSZJ0yGisUqsxIQSyR45kT2o/qZrUnlrU1FC5YSMAWUOHkDVsGFlHHsl7s2YlK7i2bk0nwqp37CBWVprUamMmtSRJkiRJkiRJ0iEjWal1YMml7BFHU1GU3FMrlu9Jt1du3ABA5pChhMxMBv7zP7Nn6VvsLlxEWapKKzFoIFWbNwOQ0dOkVlsyqSVJkiRJkiRJkg4ZNaWlJA4wqZUzciRVGzZQU1ZGrHg/qVW1IZnUyho6BIDc8ScBULlhPWULFxB69KDnhAnvJ7Ws1GpTJrUkSZIkSZIkSdIho6asjHAAyw8CZI8YAUDFu+9SU6dSa8/KtwnZ2ST69wcgc9AgAKq2bGH3goXkjh9P4rDDIEag6yS1EokE+fn5jBs3jk996lOUlZXVa6/9FBUVMXfuXPLy8uq1P/vssx0Sd2aH3FWSJEmSJEmSJKkVxRgJIbSoUit75EgAKlatIu6pk9RasYLMIUMIIQCQkZdHyM6moqiI8mXLGPiFzxMrKtL9u0pSKzc3l8LCQgCuueYafvGLX/C1r32tXnutoqIiJk2axOzZszsi1Hqs1JIkSZIkSZIkSV3a6n+YxprP/SOQXH7wgCu1hg8HoKKoiJo95en28hUryBoyJH0eQiBz4EBK/uc5qKkh97TTyOjdO309kdf3YB6jQ0yaNIm33367o8NoFiu1JEmSJEmSJElSl1b22msAVJeUUFNWdsCVWhk9e5I5dCh7Vq0ic8DAdHvcvTu9n1atzEGD2L1oESQS9MzPp+Kdv6evZQ0dekD3ff7BmWxe/ff9dzwAhx99DOdee32z+lZVVTFnzhwuuOACAHbv3k1+fj4AI0eO5IknngDgxRdfTLcDPPbYY4waNapV426O/Sa1Qgj/BVwEbI4xjku1zQD+CdiS6vatGONTDYy9APgJkADuizHe3kpxS5IkSZIkSZIkEaur08e75swhVlQccKUWQPaIo6koWk2idx8IIb1PVuaQ+omqzMOT+2r1OOEEMnr1qrfkYGLAgJY8Qrurm7yaNGkSn/vc5wAaXH6wtk9nWH6wOZVaDwI/A369V/vdMcY7GxsUQkgAPwc+AqwFXgsh/CnGuLSFsUqSJEmSJEmSJNVTtXVb+rj4mWcADrhSCyBn5Eh2zv4zOceOJvPww6navBlibLBSC6DnaacC9ffRChkHtutTcyuqWltjyavObr9vN8b4ArC9BXN/AHg7xvj3GGMFMAu4uAXzSJIkSZIkSZIkNahq8+bkQVYWpa/MA2hhpdYIanbtomrDBkJODom+yf2xMoc0nNTKPe00gPSeWiE7u0Xxq/kOLGVY35dCCG+GEP4rhNCvgetHAGvqnK9NtUmSJEmSJEmSJLWKqs2bAOj7kfOhqgpoWaVW9siRAJQvW05GTg4Zh+UB1NtjC6DHiSeSyMuj58SJAGT0SibQMvL6tuwBuoDaPbVqP48++miHxNGc5Qcb8v+A7wEx9eePgc/u1Sc0MC42NmEI4XrgeoDhw4e3MCxJkiRJkiRJktSd1FZq9fnIR9j11Byg/pKAzZU9YgQA1du3kzVsGEfc+n0233U3OWOOrdev9znncOyr8wghmQaprdBK5OW19BHaXUlJSbPbJ0+ezM6dO9s6pGZpUVIrxrip9jiEcC/Q0O5ga4Gj6pwfCaxvYs6ZwEyACRMmNJr8kiRJkiRJkiRJqlW5aRMkEvSePJlekyYB0GPs2AOeJ2vYMEJWFrGyktAjh9zx4zn6wQca7Fub0ALIHJis5Drs0ktbEL0ORIuSWiGEoTHGDanTS4HFDXR7DTg2hDASWAdMBT7doiglSZIkSZIkSZIaULV5C5kDB5KRm8vwe2e2eJ6QSJB19HAq3n6HjOycZo/LGjyYMa/OI6MLVWp1VfvdUyuEUADMA44LIawNIXwO+GEI4W8hhDeBc4GvpvoOCyE8BRBjrAK+BPw38Bbw+xjjkjZ6DkmSJEmSJEmS1A1VbdpE5uDBrTJXTmpfrdCjxwGNSxx2WL3qLbWN/VZqxRivbqD5/kb6rgc+Xuf8KeCpFkcnSZIkSZIkSZLUhKrNm8k6enirzJU9IpXUyslulfnUuvZbqSVJkiRJkiRJktRZVW7eTNbhrVOplT1iBAAZOQdWqaX2YVJLkiRJkiRJkiR1STXl5dTs3Enm4Ye3ynzZ6eUHm7+nltqPSS1JkiRJkiRJktQlVW3eDNBqe2pljxwBQEbOoZ3UCiEwffr09Pmdd97JjBkzAJgxYwZHHHEE+fn55Ofnc/PNNwMwefJkFixYUG+exx9/nPPOOy99/tJLL5Gfn09VVVWbxG1SS5IkSZIkSZIkdUnppNbhg1plvsx+/eg1aRK5J5/cKvN1Vjk5OTz++ONs3bq1wetf/epXKSwspLCwkNtvv73ReS677DJ69OjB7373O6qqqvjiF7/If/7nf5KZmdkmcbfNrJIkSZIkSZIkSW2sctMmALJaqVILYPi9M1ttrs4qMzOT66+/nrvvvptbb731oOb66U9/yvnnn8+SJUuYOHEiH/zgB1spyn2Z1JIkSZIkSZIkSV1S1eYtAK22p1Z72/HkO1SsL23VObOH9eKwT47ab78bbriB8ePHc9NNN+1z7e677+a3v/0tAHfccQcf+9jHGp3nmGOO4aqrruJnP/sZ77zzTssDbwaTWpIkSZIkSZIkqUuq2rSJkJtLRp8+HR1Kl9O3b1+mTZvGPffcQ25ubr1rX/3qV/n617/erHlqamp49tln6d27N6tXr2bgwIFtES5gUkuSJEmSJEmSJHVRVZs3k3n4IEIIHR1KizSnoqotfeUrX+HUU0/luuuua/EcP//5zxk3bhzf+973uOGGG5g3b16bfR8ZbTKrJEmSJEmSJElSG6vcvImsw1tvP63upn///lx55ZXcf//9LRq/ceNG7rrrLn74wx9ywQUXcMQRR3Dfffe1cpTvs1JLkiRJkiRJkiR1SVWbt5B70kkdHUaXNn36dH72s581q+8nPvEJsrKyADjzzDPJysripptuYtCgQQD8x3/8B5MmTeLyyy+nf//+rR6rSS1JkiRJkiRJktTlxBip2rSJzPPP7+hQupySkpL08eDBgykrK0ufz5gxo8Exc+fO3e+8Rx11FEVFRQcZXeNcflCSJEmSJEmSJHU5Nbt2EffsIfPwQR0ditqJSS1JkiRJkiRJktTlVG3eDEDWYPfU6i5MakmSJEmSJEmSpC6nclMyqZV5+OEdHInai0ktSZIkSZIkSZLU5VSuWwdA5uAhHRyJ2otJLUmSJEmSJEmS1OXs/tubJPLyyDpiWEeHonZiUkuSJEmSJEmSJHU55YsW0SP/ZEIIHR2K2olJLUmSJEmSJEmS1KWULVjAnpVvk3vyyR0dSpe1ceNGpk6dyqhRozjxxBP5+Mc/zooVK8jNzSU/P58TTzyRadOmUVlZCcDcuXMJIXD//fen53jjjTcIIXDnnXe2S8wmtSRJkiRJkiRJUpdRvXMnq//PPwDQ6/TTOziarinGyKWXXsrkyZN55513WLp0KbfddhubNm1i1KhRFBYW8re//Y21a9fy+9//Pj3upJNO4uGHH06fz5o1i5PbMbFoUkuSJEmSJEmSJHUZ1Tt3AjDwhhvoedppHRxN1/T888+TlZXFF77whXRbfn4+Rx11VPo8kUjwgQ98gHXr1qXbhg8fTnl5OZs2bSLGyNNPP82FF17YbnFnttudJEmSJEmSJEmSDlLN7t0A5IwZ08GRHLw5c+awcePGVp1zyJAh+000LV68mNP2kxAsLy9n/vz5/OQnP6nXfsUVV/DII49wyimncOqpp5KTk3PQMTeXlVqSJEmSJEmSJKlTqigqYtUVn6Li3XfTbTWlZQBk9OzZUWEd0t555x3y8/MZMGAAw4cPZ/z48fWuX3nllTzyyCMUFBRw9dVXt2tsVmpJkiRJkiRJkqROad30r1O+ZAnFz/4PAz57HQA1u2uTWrkdGVqraM+l++oaO3Ysjz76aIPXavfU2rBhA5MnT+ZPf/oTU6ZMSV8fMmQIWVlZPPPMM/zkJz/hlVdeaa+wrdSSJEmSJEmSJEmdz+4lSyhfsgSAPe+8nW6vKbNS62B9+MMfZs+ePdx7773pttdee43Vq1enz4cOHcrtt9/OD37wg33G33LLLdxxxx0kEol2ibeWSS1JkiRJkiRJktTpbH/gQTJ69aLHyeMpX/pWuj3WJrVyu36lVkcJIfDEE0/wzDPPMGrUKMaOHcuMGTMYNmxYvX6XXHIJZWVlvPjii/XaP/jBD3LJJZe0Z8iAyw9KkiRJkiRJkqROJsZI8bPPknfJxST69GXbAw9QsWYN2UcdRc3u3QAEK7UOyrBhw/j973+/T/vixYvTxyEEFi1alD6fPHnyPv1nzJjRFuE1yEotSZIkSZIkSZLUqVRv20YsLydn9LH0/vC5ALzz0Y+x5oYvUb5kKeDyg92RlVqSJEmSJEmSJKlTqVy/HoCsYcPoecopjH72Gd4rmMV7v/nN+3tqufxgt2OlliRJkiRJkiRJ6lQq160DIOuI5B5PWUOGcPhXv0LPiRMBCD16EBKJDotPHcOkliRJkiRJkiRJ6lTqVmrVlejfH7BKq7syqSVJkiRJkiRJkjqVynXryOjbl0SfPvXaMweY1OrOTGpJkiRJkiRJkqROpXLd+n2qtAAS/ZJJrRhje4ekTsCkliRJkiRJkiRJ6lT2FK0i+6ij9mlPpCq14u7d7R3SIeeJJ54ghMCyZcsAKCoqIoTAd77znXSfrVu3kpWVxZe+9CVuvfVW8vPzyc/PJ5FIpI/vueeedovZpJYkSZIkSZIkSeo0qnftonL1u/QYO3afa5kDBgBQU17e3mEdcgoKCjjrrLOYNWtWuu2YY45h9uzZ6fNHHnmEsanv4dvf/jaFhYUUFhaSm5ubPr7xxhvbLWaTWpIkSZIkSZIkqdMoX7oUoMGkVnr5QZNaB6WkpISXX36Z+++/v15SKzc3lxNOOIEFCxYA8PDDD3PllVd2VJj7yOzoACRJkiRJkiRJkmqVL14MQI9xDVVq9W/vcNrUihXfo7jkrVads0/vExgz5jtN9vnDH/7ABRdcwJgxY+jfvz+vv/46/fsn3+3UqVOZNWsWQ4YMIZFIMGzYMNavX9+qMbaUlVqSJEmSJEmSJKnT2L1kCVlHHEFmv377XEv0P7SSWh2loKCAqVOnAskkVkFBQfraBRdcwDPPPENBQQFXXXVVR4XYICu1JEmSJEmSJElSp1G+eAk9xo1r8FpGTg4Avc87rz1DajP7q6hqC9u2beO5555j8eLFhBCorq4mhMAXv/hFALKzsznttNP48Y9/zJIlS3jyySfbPcbGmNSSJEmSJEmSJEmdQvWOHVSuWcNhV36q0T5jXvsrGT16tGNUh5ZHH32UadOm8ctf/jLdds4557B27dr0+fTp0znnnHMYMGBAR4TYKJNakiRJkiRJkiSpU9i9ZAkAuY1UagEk+vRpr3AOSQUFBdx888312i6//HJuu+229PnYsWMZO3bfPc06WogxdnQM+5gwYUJcsGBBR4chSZIkSZIkSZLa0dZfzmTL3XczZv6rJPLyOjqcNvHWW29xwgkndHQYnUZD7yOEsDDGOGHvvhntFpUkSZIkSZIkSVITypcsIWv48EM2oaWDY1JLkiRJkiRJkiR1CuWLF5M7rvMte6fOwaSWJEmSJEmSJEnqcFXbt1O5fj09xja+n5a6N5NakiRJkiRJkiSpQ1Xv2kXR1VcD0GOcSS01zKSWJEmSJEmSJEnqUKWvvkrl6nfJOfEEck8e39HhqJMyqSVJkiRJkiRJkjrUnuUrIARGPPQQGT16dHQ46qRMakmSJEmSJEmSpBaJMVI6bx6xoqLJfuUrVrBn1apGr+9ZsZzso48mIze3tUNUAxKJBPn5+elPUVERc+fOJS8vj/z8fMaPH8/555/P5s2bOzrUekxqSZIkSZIkSZKkFilfupR3r/ssq/9hGjHGRvutu/Ff2PjvtzQ+z4oV5Bx3XFuEqAbk5uZSWFiY/owYMQKASZMmUVhYyJtvvsnEiRP5+c9/3rGB7sWkliRJkiRJkiRJapGqjRsB2L1oEXuWLWuwT+WGDVQUFVHx978TKyv3SX7VlJVR+e4acsYc2+bxqnlijBQXF9OvX7+ODqWezI4OQJIkSZIkSZIkdU1VW7amj8uXvkWPE07Yp0/pq/OTfTdvZtlJ4xky47v0mzoVgJKXXqZq4waIkezhR7dP0J3Id1auZXHJ7ladc1zvXL537JFN9tm9ezf5+fkAjBw5kieeeAKAF198kfz8fLZt20avXr247bbbWjW2g2VSS5IkSZIkSZIktUjVtmRSK2RlUZ6q1IqVlZCRQUgkACh79dV6Y3Y9NYd+U6cSKypYP3061aWlAGQOPrwdI+/eapcf3NukSZOYPXs2AHfccQc33XQTv/jFL9o7vEbtN6kVQvgv4CJgc4xxXKrtR8AngQrgHeC6GOOOBsYWAcVANVAVY5zQeqFLkiRJkiRJkqSOVL1tG4m8PLJHjmTPW28BsOyk8fS54AKO/I+7iTFSOn8+2SNHUrFqFQBZRxwBQMnLL1O9c2d6rqwhQ9r/ATrY/iqqOtKUKVO4/PLLOzqMepqzp9aDwAV7tT0DjIsxjgdWAN9sYvy5McZ8E1qSJEmSJEmSJB1aqrZsJTFoIDknHE/5smXEqioAip9+GoCKoiKqNm7ksCuvTI+pKSkBYNfsP9ebK/NwK7U6k5deeolRo0Z1dBj17LdSK8b4QghhxF5tf6lz+ipwReuGJUmSJEmSJEmSOruqbdvIHDCQHsefwI6CWZQvXZq+FmOkbH5yP60+506mdN4rlL7wIlXbt1NTWkrxc8+ROOwwqnfsIJGXR0aPHh31GEqp3VMrxkheXh733XdfR4dUT2vsqfVZ4OFGrkXgLyGECPwyxjizFe4nSZIkSZIkSZI6gaqtW8kdN44eJxwPQOkrr7x/bfMWSl+dT+aQIWQdfTTDZ85k3de+RvmSpRQ/9zxx9276f/56tvzHT8jshksPdqSSVLVcXZMnT2ZnneUgO6PmLD/YqBDCt4Eq4KFGunwoxngqcCFwQwjh7Cbmuj6EsCCEsGDLli0HE5YkSZIkSZIkSWoH1Vu3khg4gJxjj4WMDEpffj+ptWf5Msrmz6fX6acTQgAg0X8AVdu3s3P2k2QOHUrelCkAZA526UHtX4uTWiGEzwAXAdfEGGNDfWKM61N/bgaeAD7Q2HwxxpkxxgkxxgmDBg1qaViSJEmSJEmSJKkd1OzeTU1ZGZkDBpKRm0v2yJGUFRamr+949DGq33uPnmeekW7LHNCfmuJiSv/3BfI+8XEyBw8mZGWRNdhKLe1fi5JaIYQLgH8FpsQYyxrp0yuE0Kf2GPgosLilgUqSJEmSJEmSpM6jevt2IJmoAuhx/PFQWZlsGzKE4r/8BUKg15lnpsck+g9IH/e96KL/z96dx0dV3/sff51Zs++BEAJhR/awWRBpK+6IVmvdsCoutfa6t2q191erra16b29drks3Reu1LrUqtW5FFje0KhoQRLZAIEBC9sxkksx2fn9MMjBkIYSZTAjv5+Phg3O+53u+388AiuSTz+eLYbWS/9//Rdaiy3oxcjlSHTSpZRjGc8BHwFjDMMoMw7gSeARIBZYahlFsGMbvW+fmG4bxRuurA4EPDMNYA3wCvG6a5lsx+RQiIiIiIiIiIiIiItKr/LV1AFgzMwHC52oBpJ0xPzQ2eRL2gQPD49as0FxstlASDEg77TScI0f2RshyhLMdbIJpmhd1MPxEJ3N3A/Nbr0uAKYcVnYiIiIiIiIiIiIiI9EmBusiklvOYcQBY0tJIO+10ap54kuzLr4h4x5aTA0DOj67pxUilvzhoUktERERERERERERERORAgdpaAKwZrZVax4wFwJaZSeKkiYz598dY09Mj3kmaOpVhf3uRhIkTezdY6Rd6dKaWiIiIiIiIiIiIiIgc3cJJrcwMIFSFZcvNxZoVOmPrwIRWm8RJkzAMo3eClA4ZhsEll1wSvvf7/eTm5rJgwQIAKioqWLBgAVOmTGH8+PHMnx9qJ7l9+3YSExMpKioK/3P33XeHr61Wa/j64YcfjnrcqtQSEREREREREREREZFDFqirBcPAmpYWHstatAhLcnIco5LuSE5OZt26dTQ1NZGYmMjSpUsZPHhw+Pmdd97JySefzI033gjA2rVrw89GjhxJcXFxxHq/+MUvAEhJSWn3LJpUqSUiIiIiIiIiIiIiIocsUFeHNT0dw2oNj2VfeQWZF14Qx6iku04//XRef/11AJ577jkuuuii8LM9e/ZQUFAQvp88eXKvx9cRVWqJiIiIiIiIiIiIiMgh89fWYs3MjHcYR7S7X1vPV7sborrm+Pw0fnHmhIPOu/DCC/nlL3/JggULWLt2LVdccQXvv/8+ANdeey0XXHABjzzyCCeddBKXX345+fn5AGzdupWioiIA5syZw6OPPhrV+LuipJaIiIiIiIiIiIiIiByyQG2dklpHsMmTJ7N9+3aee+658JlZbU499VRKSkp46623ePPNN5k6dSrr1q0DOm4/2FuU1BIRERERERERERERkUMWqK3Fvl+LOjl03amoiqWzzjqLW265hZUrV1JdXR3xLCsri4ULF7Jw4UIWLFjAe++9x/Tp0+MUaYjO1BIRERERERERERERkUMS9Hjwl5djzUiPdyhyGK644gruvPNOJk2aFDG+fPlyPB4PAC6Xi61btzJ06NB4hBhBSS0RERERERERERERETkk5b/8FQGXi/QFC+IdSp/m8rpYW7kWj88T71A6VFBQwI033thufPXq1cyYMYPJkycze/ZsrrrqKmbOnBmHCCMZpmnGO4Z2ZsyYYX722WfxDkNERERERERERERERA7QUrKNkjPOIOuKyxl4663xDqdPW7V7FT9c+kOeOu0ppg8Mte7bsGED48aNi3NkfUdHPx+GYaw2TXPGgXNVqSUiIiIiIiIiIiIiIt1W/eQTGA4H2VdcEe9Q+rz6lnoAMp2ZcY6kf1BSS0REREREREREREREusVXUUH9kn+Qce652LKz4x1On1fbXAtARkJGnCPpH5TUEhERERERERERERGRbql56mkIBsm64vJ4h3LY/uvT/+Kj3R/FdI+6ljoA0hxpMd3naKGkloiIiIiIiIiIiIiIHFSgro7aF14gbf58HAUF8Q7nsATNIM989QxXL706pvvUNteS5kjDZrHFdJ+jhZJaIiIiIiIiIiIiIiJyUDV//Sumx0P2VVfFO5TD5va5e2Wf+pZ6MhN0nla0KKklIiIiIiIiIiIiIiJdCjY1UfvM/5Hy7W+TMHZMvMM5bC6vK+Z7bK3byi73LjKcOk8rWpTUEhERERERERERERGRLrmWLydQW0vWokXxDiUqGloawtdBMxj19QPBAGcvOZu1VWv7bFKrvLycCy+8kJEjRzJ+/Hjmz5/Ppk2bWL9+PfPmzWPMmDGMHj2aX/3qV5imCUBFRQULFixgypQp4Xe+/PJLioqKKCoqIisri+HDh1NUVMRJJ50U9ZjVxFFERERERERERERERLrk+tdSrDk5JM2cEe9QomL/Sq3qpmpyk3Kjun5lU2X4ui8mtUzT5JxzzuGyyy7j+eefB6C4uJiKigoWLVrE448/zimnnILH4+Hcc8/lscce49prr+XOO+/k5JNP5sYbbwRg7dq1TJo0ieLiYgAWLVrEggUL+N73vheTuFWpJSIiIiIiIiIiIiJylKv6wx+pfuKJDp/59uzB/d57pJ50IobV2suRxUaDd1+l1u7G3VFfv7yxPHyd5kyL+vqHa8WKFdjtdq655prwWFFREZs2bWLOnDmccsopACQlJfHII49w3333AbBnzx4KCgrC70yePLlX41alloiIXYp2NwAAIABJREFUiIiIiIiIiIjIUSzo9VL9hz8AkHH++VT/+Qmyr7wCa1ooGbP71tswLBayLr0snmFG1f6VWnvce5iSOyWq61d4KsLX9S31nU9883Yo/zKqe5M3CU6/r8sp69atY/r06e3G169f32585MiRuN1uGhoauPbaa7ngggt45JFHOOmkk7j88svJz8+PavhdUaWWiIiIiIiIiIiIiMhRzPPJpwQ9HoIeD5UPPUz1H/5A4wcfAKE2dU1r1pBx/vk4RwyPc6TRs3+lVk1zTdTX379SKycxJ+rrx4ppmhiG0eEzwzA49dRTKSkp4Qc/+AFff/01U6dOpbKyssP5saBKLRERERERERERERGRo5h7xQqMhAQMp5P6V18FwF9bC0DQ5cL0+bANGBDPEKNu/6RWk78p6uuXN5aTaEvkoRMeYtrAaZ1PPEhFVaxMmDCBl156qcPx9957L2KspKSElJQUUlNTAcjKymLhwoUsXLiQBQsW8N5773Huuef2Styq1BIREREREREREREROUqZpol7xQqSZ8/GOWwYQbcbgEBNKKnlr6oGwJaTHbcYY6GhpYE0RxoGBh6/J+rrV3gqyEvOY3b+bJxWZ9TXP1zz5s2jpaWFP/3pT+GxTz/9lNGjR/PBBx/wzjvvANDU1MQNN9zAbbfdBsDy5cvxeEI/Xy6Xi61btzJ06NBei1tJLRERERERERERERGRfsg0TSr/9xFaSko6ndOyaTO+3btJmXcC9sGDw+OB1kqtQHUVALbs/pXUcvlcpDnSSLIn4fFFP6m1272bvKS8qK8bLYZh8Morr7B06VJGjhzJhAkTuOuuu8jPz2fJkiXcc889jB07lkmTJjFz5kyuu+46AFavXs2MGTOYPHkys2fP5qqrrmLmzJm9FrfaD4qIiIiIiIiIiIiI9EP+ykqqHn2U+n++xqi33+5wjnvFCgBSvvUtfDt2hscDda2VWtWhSi1r9pFzLlR3NLQ0kOZMoyXQEvX2g6UNpXxV/RU/nPLDqK4bbfn5+bz44osdPlu5cmWH47feeiu33nprp2s+9dRTUYisc6rUEhERERERERERERHph4INredG+QOdznGvWEHCpEnYBwyIqNTy9/P2gy6vi1RHaqhSK8rtB5/56hlsFhsXjL0gquuKkloiIiIiIiIiIiIiIv2Sv6YGACMxoePnVVU0rV1LygnfBuiw/aC/ugosFqwZGbENthe1BFrYWr+V/OR8Em2JNPmiV6lV21zLq1te5cyRZ5KT2L+q2/oCtR8UEREREREREREREemHAq3VVhZn+6SWa9kyGt5+G0yT1BNPBDpOagWqqrFmZWFYrb0Qce9YvmM5Lq+L+SPmU9pQGtX2gy9sfIGWQAuXjr80amvKPkpqiYiIiIiIiIiIiIj0Q/6aUOtAIyEyqeWvqqLs2usASJs/n4SxYwGwFwzGUVgIdhve0h2Ypom/uhpbVlbvBh5jr255lfzkfI7NO5an7E/R0NIQlXVbAi089/VzzB08l5EZI6OypkRS+0ERERERERERERERkX6orVLLcNjDY01r1lC/ZAkAiTOmM/Dn/y/8zOJwMPLtt8j47rng87H7tp/iXrEC56j+k6Apbyzno90fcdaos7AYFpJsSXh80TlTa/mO5dQ013DZhMuisp60p0otEREREREREREREZF+KNB6ppbp9YV+NE123fxjfLt3AzD4f/4HW2Zmu/esrWMNb71F1qJF5Pzoml6KOPb+sfUfmJicNfIsgNCZWlFqP7jTtROAogFFUVlP2lOlloiIiIiIiIiIiIhIP+SvDSW1gp5QJVLzl1+GE1oAtgEDOnwv9cR55PzHfzDy9X8y8Ke3YU1Li32wvcA0TZZsWcKMgTMYkjoEIFSp5Y9OpVZtcy3J9mScVmdU1oslq9VKUVERU6ZMYdq0aaxatQqA7du3M3HixHbzFy1axEsvvQRATU0NU6dOZfHixb0aMyipJSIiIiIiIiIiIiLSLwWq25JajQA0vPV2xHPDMDp8z5qWRu4N1+MYOjS2AcaAN+Dlz1/+GZfX1e7Z26Vvs8O1g7NHnR0eS7QnRq39YHVzNVkJR8b5Y4mJiRQXF7NmzRruvfde7rjjjm69V19fz6mnnsrVV1/N5ZdfHuMo21NSS0RERERERERERESkHwrsV6llmiaut94i+bjjALAfgQmr7vik/BMe+vwhrl9+fcT4huoN3PrurYzOHM3JhSeHx5NsSXiDXvxBf4/2M02TSU9P4nerf0dtc+0Rk9TaX0NDA5kdtKE8kNvt5vTTT2fhwoX86Ec/6oXI2tOZWiIiIiIiIiIiIiIifVCgoYGap54m+4dXY3Eeeks7f1U1AGajh+Z16/Dt3k3Otdcy4JafYM3JiXa4fUJ9Sz0AqytWs61+G8PTh3Ppm5dSUl8CwJ9P+TNJ9qTw/CRb6LrJ30SqI/WQ93P5QhVhi9ctZkzmGPJT8g/p/fs/uZ+va74+5H27ckzWMfz02J92OaepqYmioiKam5vZs2cPy5cvP+i6P/7xj7nqqqu4+eaboxXqIVOlloiIiIiIiIiIiIhIH+R+912qHnsM19tvH3zyAYItLQRqa8FiIdjURMObb4HNRuqJ80gYPx57J+dp9UVBM9jtubXNteHrFze+SH1LPV/s/YL6lnpGpo9sV0mVaE8E6FYLwklPT+Lhzx+OGKv0VIava5pryE7I7nas8dTWfvDrr7/mrbfe4tJLL8U0zS7fmTdvHkuWLGHv3r29FGV7qtQSEREREREREREREelDzGCQPXfcQaC+AYD6118n/ayzDmkNf0UFAI4Rw/Fu2Ur9q6+SPHs21oyMqMcbSztdO/nOq9/h+QXPMyZzzEHn1zTXYDWsnFR4Eku2LGHe0HnhZ+nO9Hbz2yq1PP6uk1qBYACAP335J26YdkN4vMIT+nm2GBbqmusOuf3gwSqqesPs2bOpqqqisrKyy3kXXnghxx9/PPPnz2fFihWkph56ZdvhUqWWiIiIiIiIiIiIiEgf4tu9h/ol/8C9ciUAjR+uwl9b2/VLgOn34/nsM0zTxLenHADn8BEABGpqSDvt1JjFHCulDaX4gj621W/r1vya5hoynBlcdMxFuHwufr/m9wBkOjO5eXr7tnn7tx/sSmfP2yq1gmYQv+knM+HgZ1P1NV9//TWBQIDs7INXmd10002ceOKJnHPOOXi93l6ILpKSWiIiIiIiIiIiIiIifYh365bwtZGYCH4/rn8tPeh7rnfeofT7l1D3wov4K0JJLcfIEeHnyXPnRj/YGHN73cC+s7I6U9NcQ4O3gdrmWjITMpk2YBqjM0fzSfknGBgsPW8pRQOK2r3Xdr5Wo6+xy/U7TWo1RVY3HWqlVry0nalVVFTEBRdcwNNPP43VagVg48aNFBQUhP/529/+FvHu/fffz5AhQ7jkkksIBrvfGjIa1H5QRERERERERERERKQPadlaEr5OmjoV3+7dNLz+OpkXnA+At6yMinvvY8BNN+IcPTo8t/mrDQBU3H8/aaefDoBzxL6k1pF0jlabBm9DxI+d+dYL3yLBmsAxWceQnZCNYRhcOPZCfvXxr8hLzsNpdXb4Xqoj1EKvLXnWmf3bEzb5m0i0hc7i2uuJPF/qSKnUCgQCHY4PGzYMn8/Xbvy8886LuF+8eHFM4joYVWqJiIiIiIiIiIiIiPQhLftVatkGDiTtjDPwfPopvopQAqXpiy9wL1vG9oUX0/jRRwTcjZheLy2bNmEbNAjD4aD+5ZexpqdjbW0pZ01vf57UkcDldQFdJ7VM0wSgOdDM9obt4cTSGSPOINmezNDUoZ2+23bOVr2360qw/Su1drl2ha/b2g+2GZI6pMt15PAoqSUiIiIiIiIiIiIi0od4t2wNX9sGDiDtjPlgmrjeehOAQF0oAWPNzGTHD65m83HHsefnd9KyaRNJU6cy6K5fhN7Ny8MwDAAcw4b17oeIknBSq6XzpNb+rQnrWurCSa1kezK/+9bvuGn6TZ2+m+5Ib7dGRzy+fZVaZe6y8PWBlVqDUwZ3uY4cHiW1RERERERERERERET6CG/ZLprWr8c5fhwA9oEDcY4YgXPcOOrfeAOAQEMoATPshedJ+eY3Mb1e6pcswbd7N84xY0g7/XSyrryCtPnzsefnA5B5ySXx+UCHye0LtQXsqlJrl3tXxH2CNSF8fdzg45iYM7HTd5PtyVgN68GTWvu1H9zTuAeAQDDA1vqtDEja19bRYijtEkv62RURERERERERERER6SNqnnwSDIP8e+/FOX4cidOnA5B+xnya16zFu3Mngfp6LCkp2DIzGfLYo4z+4H0MZ+jMqMSpUwEYeOut5PzwahzDhjF2TTHpC86I22c6HOEztbqo1Nrp3gnAT2f+FIBRmaO6vb5hGKQ70w+a1Nq//WBtcy0AW+q20Ohr5IQhJwCQk5jT7X2lZ2zxDkBERERERERERERERMD0+2l44w3STjmFhLFjGfHyy+Fnaaefzt7f/g8Nb7xJsL4ea1pa+JktJ4fRH34Afj/WjIx261paE15Horb2g12dedV2xtU5o8/h9OGnh9sPdleaI+2gZ2rt336wprkGgDWVawCYNWgWL2x8gWFpww5pXzl0SmqJiIiIiIiIiIiIiPQBTV98QaCujtSTT2r3zD54MI5RI2lauxYCASwZ6RHPrSkpvRVmr3J7W9sPdlGpVeYuI9OZSbI9mWR78iHvcSiVWunO9IikVlZCFvOGzuPqyVdzwdgLDnlvOTRqPygiIiIiIiIiIiIi0ge4li3HsNtJPn5uh88dQwvx7SglUF+PNS29wzn9TVulVpdnarl2MThlcI/36E5Sq+1MrcEpgyOSWkW5RVgMC9dPvT7ibK2+rLq6mqKiIoqKisjLy2Pw4MHhe8MwKCoqYuLEiZx55pnU1dWF31u/fj3z5s1jzJgxjB49ml/96leYpolpmuTk5FBbG2rLuGfPHgzD4IMPPgi/m5ubS3V19WHHrqSWiIiIiIiIiIiIiEicmaaJa/lykmbNwprScbWRY+hQvDvLCNTVYU0/upJabp8bf9Df4ZwydxkFqQU93iPdkd5l0gz2VWrlJ+dT01xDTXMNpQ2lTBkwpcf7xkt2djbFxcUUFxdzzTXXcPPNN4fvk5OTKS4uZt26dWRlZfHoo48C0NTUxFlnncXtt9/Opk2bWLNmDatWreKxxx7DMAy+8Y1v8NFHHwGwatUqpk6dyqpVqwDYuHEjOTk5ZGdnH3bsSmqJiIiIiIiIiIiIiMSZd8sWfDt2kHrivE7n2IcOwWxuxrtt29GT1PK5sFvsoevWBNf+AsEAexr3xL5Sy+ch0ZZIdmI2tc21rK1cC0BRblGP9+3rZs+eza5dofPK/vrXvzJnzhxOOeUUAJKSknjkkUe47777AJgzZ044ibVq1Sp+/OMfRyS5jjvuuKjEpDO1RERERERERERERETizLVsOQApJ3Se1HIMLQxfW9PTYh5TvPmCPpr8TYzKGMWWui1UNlWSmZAZMWevZy/+oJ/BqT1PaqU503D73PiCvnAC7UAev4ckWxJZCVnUtdSxumI1NsPG+OzxPd4XoPw3v6Flw9eHtcaBnOOOIe9nPzusNQKBAMuWLePKK68EQq0Hp0+fHjFn5MiRuN1uGhoaOO644/jlL38JwCeffMLdd9/Ngw8+CISSWnPmzDmseNqoUktEREREREREREREJM5cy5eTMGkS9oGdn8vkKBwavj4aKrXcXjcAU3JDLf621G5pN6fMXQZAQcrhtR8EuqzWavI3kWhLJCshC4CVO1cyLnscCbaEHu/bFzU1NVFUVER2djY1NTWcfPLJQKg9pmEYHb5jGAbHHnssX3zxBY2Njfh8PlJSUhgxYgRbtmxRpZaIiIiIiIiIiIiISH/hq9hL89q15N50Y5fz7IMGha+NhMRYhxV3Hr8HgAk5E1iyZQlb6jpIarkOP6k1ImMEAF9Vf8U3C77ZcSw+D0n2pHBSa3vDdr4/7vs93rPN4VZURVtiYiLFxcXU19ezYMECHn30UW644QYmTJjAe++9FzG3pKSElJQUUlNTARg1ahRPPvkk06ZNA2DWrFm88cYb7N27l7Fjx0YlvoNWahmG8aRhGHsNw1i331iWYRhLDcPY3PpjZifvnmYYxkbDMLYYhnF7VCIWEREREREREREREelHmtauASD5INUshs1G/n//NwCOYcNiHVbceXyhpFa6I53CtEI2125uN6fMXYbFsJCXktfjfabkTsFmsfFZ+Wedzmmr1BqWPmzfewOm9HjPvi49PZ2HH36Y3/72t/h8Pi6++GI++OAD3nnnHSBU0XXDDTdw2223hd+ZM2cODz74ILNnzwZCZ3I99NBDzJo1q9Mqr0PVnfaDTwGnHTB2O7DMNM3RwLLW+wiGYViBR4HTgfHARYZhHF5zSRERERERERERERGRfibY4ALAmpV90LnpZy5g9KoPSZ4TnXZufVlbpVaSPYnRmaPZXNc+qbXLvYu8pLxOz8LqjkRbIpNzJvNp+addxpJkS2JM5hjmD58PwNTcqT3e80gwdepUpkyZwvPPP09iYiJLlizhnnvuYezYsUyaNImZM2dy3XXXhefPmTOHkpKScFJr2rRplJWVRa31IHSj/aBpmu8ZhjHsgOHvAN9uvX4aWAn89IA5xwJbTNMsATAM4/nW977qcbQiIiIiIiIiIiIiIv1M0N2a1EpN6dZ8W1ZWLMPpM9oqtZJsoaTWW9vfotHXSLI9OTynzFVGQWrPWw+2mZk3kz99+SdcXhcJtgR+8eEvuGrSVeHWhC6viwGJofPO7p17LzdOu5GByQMPe994u+uuuyLu3W53xP1rr70Wvp40aRIrV67sdK3zzjsP0zTD906nk5aWlqjE2aY7lVodGWia5h6A1h87OrluMLBzv/uy1jEREREREREREREREWkVcIUSCZbk5IPMPLrsX6k1KmMUQLtztXa5dzE45fBTDzPzZhI0g3yx9ws2127mtZLXuO29UGu9Zn8zOxp2hBNcFsNCfkr+Ye8ph66nSa3u6KhBotnBWGiyYVxtGMZnhmF8VllZGcOwRERERERERERERET6jqDLhZGUhGE7aHO1o8qBlVoAW2pDSa2qpirOf+18qpqqopLUmpI7BbvFzqfln+L2hpKMDd4GADbVbiJgBhifpROW4q2nSa0KwzAGAbT+uLeDOWXAkP3uC4DdnS1omuYfTdOcYZrmjNzc3B6GJSIiIiIiIiIiIiJyZAm4XVhTutd68GgSTmrZkxicMphEW2L4XK2P93zMhpoNAFFpP5hgS2BybuhcrermagDcvlBya0N1aJ/x2UpqxVtPk1r/AC5rvb4MWNLBnE+B0YZhDDcMwwFc2PqeiIiIiIiIiIiIiIi0CrobsaSmxjuMPifcftCWhMWwMCpjVLhSq62aCohaK8CZeTPZULOB7Q3bI/b4quYrMpwZ5CXnRWUf6bmDJrUMw3gO+AgYaxhGmWEYVwL3AScbhrEZOLn1HsMw8g3DeAPANE0/cB3wNrABeNE0zfWx+RgiIiIiIiIiIiIiIkemoEuVWh1pS2ol2BIAGJUxKlypVeGpAGBM5hjGZI6Jyn7H5h1L0AyytHQpACYmDd4Gvqr+ivHZ4zGMjk5dkt500Aadpmle1MmjEzuYuxuYv9/9G8AbPY5ORERERERERERERKSfC7jdWNPS4h1Gn+PxeUi0JWIxQvU5ozNH88qWV6hqqqKisYL85Hz+ftbfo7bf5NzJOCwONtduDo9tqd3CltotXDbhsi7elN7S0/aDIiIiIiIiIiIiIiISBUGXC4sqtdrx+D0k2ZLC96MyRgGwpW4LFZ4KBiYPjOp+TquTKQOmAGA1rACs3LkSv+nvd+dpbd++nYkTJ0aM3XXXXfz2t79l0aJFDB48mJaWFgCqqqoYNmzYQd/rDUpqiYiIiIiIiIiIiIjEUcDtwpqqpNaBPD4PSfZ9Sa3RmaMB2Fy7OZTUSopuUgtg5sCZAEzKmQQQbkU4Lntc1Pfqy6xWK08++WS8w2hHSS0RERERERERERERkTgKutxYUlLjHUafc2ClVk5iDlkJWWyq3URFY2ySWjPyZgAwJHUIGc4MytxlpDpSKUgpiPpefdlNN93EAw88gN/vj3coEQ56ppaIiIiIiIiIiIiIiMSG6fNhNjdjUaVWO02+JpLtyRFj0wZM453Sd2gONJOXnBf1PafkTiHVnsqQ1CHkp+RT11LH+KzxGIYR9b0A3n9xE1U73VFdM2dICnPPH3NYawwdOpTjjz+eZ555hjPPPDPi2datWykqKgrfl5eXc8sttxzWft2lpJaIiIiIiIiIiIiISC+refZZCARIa00YWFWp1Y7H7yHNmRYxdt7Y83hnxzsk2ZI4ZdgpUd/TYXXw8ndeJsOZwea6zXxV/VW/O08L6DRJt//4z372M8466yzOOOOMiDkjR46kuLg4fH/XXXfFJMaOKKklIiIiIiIiIiIiItKLTL+fqof/F9uAXFJOOAEAS6qSWgfy+DztqrFmDZrFSUNPYm7BXAYkDYjJvm17Dk4ZDMT2PK3DrajqqezsbGprayPGampqGD58ePh+1KhRFBUV8eKLL/Z2eJ3SmVoiIiIiIiIiIiIiIr3I89lnBOrr8e+tJFBTA4A1Iz3OUfU9B56pBWAxLDxwwgN8d/R3Y75/YVohABOzJ8Z8r96WkpLCoEGDWLZsGRBKaL311lscf/zxEfP+8z//k9/+9rfxCLFDqtQSEREREREREREREelFrqXvABCor8e7YycA9oED4xlSn2OaJm6vmyR70sEnx8iZI89kVMYohqQNiVsMsfSXv/yFa6+9lp/85CcA/OIXv2DkyJERcyZMmMC0adP4/PPP4xFiO0pqiYiIiIiIiIiIiIj0EtM0cS1bBnY7+Hw0r1sHgE1JrQh7Gvfg8rkYkT4ibjE4rU6KBhTFbf9YGz9+PCtWrGg3/tRTT0Xcv/zyy+HrYcOGsa7192yb3jxTS+0HRURERERERERERER6SfO6dfjLy0k79VQAmr78EsNux5qZGefI+pbivcUATMmdEudIpC9RUktEREREREREREREYsZbVkbQ44l3GH2Ga+k7YLWScf55ADR/+SW2AQMwLPpy/f7WVK4h0ZbI6MzR8Q5F+hD9WyIiIiIiIiIiIiIiMbP1pJMpvfzyeIfRZ7jeeYekmTNxjg4la0yfT60HO/DF3i+YlDMJm0WnKMk+SmqJiIiIiIiIiIiISEyYPh8AzWvWxjmSvqGlpARvSQmpJ5+ENSMDw24HwJ6npNb+qpqq2FCzgVmDZsU7FOljlNQSERERERERERERkZgIuN3ha9M04xhJ39BUvAaA5NnHYRgGjpEjAbBmHLnnab27810avA1RXfOj3R8BcNzg46K6rhz5lNQSERERERERERERkZgINuxLdgSqquIYSd/gLS0FqxXHkAIACh56kKRjjyXlhG/HN7Aeqm2u5brl1/GTlT+J6rqrdq8iKyGLcVnjorquHPmU1BIRERERERERERGRmAi49lVqNW/cFMdI+gZvaSn2gsHhtoOOwkIK//I0KXPnxjmynnF7Q7++ayuj114yaAZZtXsVswbNwmIohRErVquVoqIiJk6cyHnnnYfH4+lyvKKigoULFzJixAimT5/O7NmzeeWVV3o9bv2OEBEREREREREREZGYCLpd4Wtv6fb4BdJHeEtLcRQWxjuMqHH5Qr++Hr8namturNlITXMNcwbPidqa0l5iYiLFxcWsW7cOh8PB73//+07HTdPk7LPP5pvf/CYlJSWsXr2a559/nrKysl6PW0ktEREREREREREREYmJgGtfUitQVxfHSOLPNM3WpNaweIcSNW2VWtH04e4PATguX+dp9Za5c+eyZcuWTseXL1+Ow+HgmmuuCT8rLCzk+uuv780wAbD1+o4iIiIiIiIiIiIiclQI7td+MFBfH8dI4s9fWYnp8fTLSq1oWrV7FWMzx5KTmBP1tfuiFU/9kb2lJVFdc0DhCE5YdHW35vr9ft58801OO+20TsfXr1/PtGnTohpjT6lSS0RERERERERERERioq39oCUl5aiv1PJu3w7Qr5Ja+1dqeXyH34LQ4/Pwxd4vOG6wqrRirampiaKiImbMmMHQoUO58soruxzf37XXXsuUKVOYOXNmb4etSi0RERERERERERERiY229oP2ggIltUpLAXAM60dJLd++pFZ5YzkjMkYc1nrvlb2HP+hnTv7Rc55Wdyuqoq3t7KzujE+YMIG///3v4ftHH32UqqoqZsyYEfM4D6RKLRERERERERERERGJiaDLjZGUhC07m0Dd0d1+0FdaCnY79vz8eIcSNQ3ehvB1aUPpQecHzSCPFT/GTtfOds/cXje/W/07RqaPZNrAvtHqTkLmzZtHc3Mzjz/+eHjM4zn8yryeUFJLRERERERERERERGIi4GrAmpKCNSODQL0qtRxDhmBYrfEOJWrcXjcWw0KyPZkVO1d0Odfj8/B5xec8vuZx7vn4nnbP71x1J3s9e7nruLuwW+yxCll6wDAMXn31Vd59912GDx/Osccey2WXXcb999/f67Go/aCIiIiIiIiIiIiIxETQ5caSmoo1Pf2oqdTyrF6Nc9QorOnpEePe7aX96jwtCLUfzE7IZtagWbyz4x1+Puvn2K0dJ6TOfOVM9jbtBcBpdUY8q/RUsrR0KT+Y9AOKBhTFPG4Bt9t9SOODBg3i+eefj2VI3aJKLRERERERERERERGJiaDbFa7UCjY0YAYC8Q4pZvxVVbSUbKP00suoXrw44pkZCODdsaPfJbVcXhepjlS+PeTbuLwuNtVu6nBe0AyGE1oAGc6MiOeVTZUATMieELtgpV9QUktEREREREREREREYsJfVxeq1MrIANMk0NBw8JeOQKZpsvPqH7L9oosgEKDl640Rz5u/+gqzpYW/nXhwAAAgAElEQVSEiRPjFGFsuL1uUhwpjEgfAXR+rlaZqyzivr4lsmqvuqkagOzE7BhEKf2JkloiIiIiIiIiIiIiEnXuDz+k5asNJE6bijUj1IovUHdknqvl/vBDTK+30+dNq1fT/NVXBOtDyZqWTZEVS40ffQxA8qxvxC7IOHD73KTaUxmSNgQDo9OkVlsFV7oz9Pug3ntAUqu5NamVoKSWdE1JLRERERERERERERGJqmBTE+V33Y2jsJDsK68MVWpxZCa1vKWl7LzyKnb95JZO59T837MR977duwnsdzaR5+OPcI4Zgy0nJ2ZxxoPL6yLFkYLT6mRQ8iBKXZ0ntSyGhaXfW8qJQ0+MqNSqa65je/124Oiq1DJNM94h9AmH+vOgpJaIiIiIiIiIiIiIRFXVY4/j27mTvLvvxuJ0Yhs4EAgle440/upQFZFr6VKCzc3tnvv27MG1dCnJ3/pmxLh3y5bQ+5WVNH7yKSkHPO8P3D43KfYUAIamDaW0vvOk1tDUoSTaEslwZlDXsi+5efXSq3li3RMk2hJJsif1StzxlpCQQHV19VGf2DJNk+rqahISErr9ji2G8YiIiIiIiIiIiIjIUaZ54yaqFy8m/Zxzwu32HIWFYBh4t22Pb3A9EKitDV/XLF5Mzo9+FPG89vkXwDTJ+9nPKPnoY2wDB+LbuZOWkm0kFhVRv2QJ+P2kn/Pd3g49pkzTpKGlgTRnGgCFaYW8se0NTNPEMIyIuZtqNzEuaxwQakFY31KPaZrscO1gQ80GALISsnr3A8RRQUEBZWVlVFZWxjuUuEtISKCgoKDb85XUEhEREREREREREZGoMINByu+8E2tqKgNuuzU8bklIwJ6fj3fbtjhG1zNtSa2EyZOp+v0fSDvzTBytX4QPNjdT98ILpJxwQqjV4g9+gGPoEHb/9Hb8FeWYpkndS38nccZ0nCOGx/NjRF1zoBlv0Eu6I3ROVmFaIS6vi7qWOjITMsPzPD4PO107+c7I7wCQ4czAF/TR5G9i2Y5l+9bzt6+C66/sdjvDh/ev3w+9Re0HRURERERERERERCQqmtasoWnNGnJvvglbZmbEM8eIEbRsK4lTZD3nb01q5d9/H1itVNzz6/Czxg8/JFBXR+ZFFwGQe/11pH/nO1izsvDtKadp9Wq827eTce734hJ7LDW0NABEVGoBlDZEtiDcXLcZgNGZo4FQpRZAXUsdy3YsI9WRCkB1c3Xsg5YjnpJaIiIiIiIiIn2ct7SUHVdciV8takREpI8L1IbOSkoYN77dM8fwYXi3bccMBns5qsMTqKvDcDpxDh9O7rXX4l65Etfy5QA0r18PFgtJ06dFvGPPy8NXvoe6v72EJSWFtFNPiUfoMVXvrQeIqNSC9kmtTbWbABiTOSY0vzWptaVuC2sr13LxuIsBGJI6JPZByxFP7QdFRERERERE+riavzxD46pV1L38Cjk/vDre4YiIiHQq2OgGwJqa0u6Zc8QIzKYm/BUV2AcN6u3QeixQW4e1teos69JLqPvb36h+4kmCjY243lmGY/hwLImJEe/YBg2iZcMGPDWfkn72d7AkJcUj9Jiqb2lNarUmqfJT8rEa1vZJrZpNJNuTyU/JB0LtBwH+tulvAJxaeCrfyPsGBandP1dJjl6q1BIRERERERHpw4ItLdT/858AVD7wAJUPPxzniERERDoXdIeSWpaU9kktx7DQGUIHO1fLX1uL6fVGP7geCtTWhpNaht2Oc9wx+MvL2X3rbbRs2kTC+PZVafa8PHy7d2M2N5PxvfN6O+ReEW4/6Ai1H7Rb7AxOGUxpQylBM8jidYvZ5d7FptpNjM4YjcUIpSPGZI7BZthYuXMlhWmFjMwYyYy8GeQl58Xts8iRQ0ktERERERERkT7MtfQdgvX1ZC5cCEDVY49j+nxxjkpERKRjAVcXSa0RoaRWS0nXSa3Ns4+j7Kabox9cD1T98U+4V6zAmpEeHrOmpuErLw/f2/PaJ2Psg0JjzmOOIWFC+6RXf9DgDSW12iq1INSCcIdrB8t3LOd3q3/HA6sfYHPd5nDrQYBURyrT86YDMG/IPAzD6N3A5YimpJaIiIiIiIhIFAQ9Hlo2b476unV/fwn74MEM/H//yaDf/AYA3+7dUd9HREQkGoJuN9jtGE5nu2e23FwsycldVmoFWyu03K1nVsVb5e9+B4A1IyM8Zk1LhUAgdJ2ZSebCi9q9ZxsYSmplfO97/TZpc2D7QQgltUobSlm8bjEAG6o34PK6IpJaACcMOQGAEwtP7KVopb9QUktERERERETkMDWtWUPJOedQcvY5+Coqoraut6wMz0cfk/7dczAsFhzDQgewe0tLD/KmiIhIfATdLqzJyR0mcgzDwDF8eNdJrdb2hX2BaZrha9+ufd9QYklJDV/n33dvh+eDpcw9nqzLLiX97LNjG2Qc1XvrsRpWkmz7zgsrTCukyd/E2qq1AOxw7QBgTFZkUuv8Mefzp1P+xJTcKb0XsPQLSmqJiIiIiIiI9JDp91P56KNsX3gxgdo6CARoXr8+auvXv/wyGAYZ55wDgGPoUAC825XUEhGRvingdnfYerCNY8RwWrpKarlcsQirR4KNnvB1YtG+5IslLXW/67QO37VmZDDwjjuwpiTHLsA4a2hpIN2ZHpHAHJo2NHw9a9Cs8PX47MgWjHarPeK5SHcpqSUiIiIiIiLSQ2U33UTV/z5C2hnzGfHaa2Cx0Lz+q6it3/D2v0iePQt7fj4A1uzsUNsmVWqJiEgfFXS5saSmdvrcOXw4/j17CHo8HT5vO5OrLwjU1QGQe9NNDLzllvC4db/PZ+0kqXU0qPfWk+aI/PyFaYXh60vGXwLAb47/DU5r+3aUIj1hi3cAIiIiIiIiIkca0++nZfNm3O8sI/vqqxnw49Bh9o4Rw2n+KnpJLf/evSQfd1z43jAMHIWFSmqJiEifFXS7sSZ3Xp3kGD4CAO/27SSMH9/u+f7tB02fD8Nuj36Q3RSorQXAOXoUhsMRHrcoqQWEztRKc0Z+/rykPBwWB1aLleMHH89n3/9MCS2JKlVqiYiIiIiIiByiqsceY9s53wUg8+KLw+MJ48dHLaller0EXS6smRkR4/aCAny7dkVlDxERkWg7aPvB4cMBOmxBWP/aa1T9/vfhe39NTfQDPARtlVrWzMyI8f0TWZ21H+zvAsEAm2s3Mzh5cMS41WJlaNpQRmWMwmJYlNCSqFOlloiIiIiIiMghavjXvwDIuuxS7AMHhMcTxo+n4R+v4a+qwpaT0+69xo8/xnA6SZo69aB7+Fu/kGY74Atp9kF5uN9/H9M0I86wEBER6QuCbjeWUaM6fe4YVgiGgbckMqkVqKuj/K67CTY2hsf8lVXYBw6MWawHE05qZUR+g0lb0s5wOLA4j86kzRd7v6C6uZp5Q+e1e/azb/wMuyV+FXbSv6lSS0RERERERKSb3O++y6ZvzMK7ZSu5N97AwDvuiHje1kapecOG8FigtY2SaZrsuulmSi/+PlW//wNmMNjlXoHajr873DZoEGZTE8H6+sP+PCIiItEWdLuxpHTeftDidGIfPBjvAZVa1YufikhoAfgr98Ykxu5qaz/YWaWWJf3orNICWFq6FKfVydyCue2ezcybSdGAojhEJUcDJbVEREREREREuqFp3XrKbv4xgdZkUtKxx7abkzBuHADN67/CDAapuO9+Nh37DdwffIhv504CdXXYCwqofPBByq67nqDX2+l+4S+kZRxQqZU3CABfeXlUPpeIiEi0uFasIFBbi7WL9oMQakHYsn1fUstfW0vtM89gHFD15K+Ic1Krrg4Mo925WdbWM7WsqUdnUitoBnmn9B3m5M8h2d55AlMkFpTUEhERERERETkIb9kudv7oGmwZGRQ89hjp536XxMmT282zpqbiKCzEs3o1u2+5lZqnnsJwOtl7/300rVkDQMGDDzDgtttwL19OwxtvdLpnoK41qZXVvv0ggG/3nmh9PBERkcMW9Hgo+9F/AGBJSupyrj0vD//eyvB9zeKnCDY1kX3VVeExw27Hu3NHbILtpkBdLZa0NAyrNWLcSEoCq7VdsutosbZyLXub9nLysJPjHYochZTUEhERERERETmIPbffjtniZcgf/0DqvBPI//WvMewdnxWRcsIJNL7/Pg1vvMGAW28h7//9Jy2bt1D30t8xEhJwjh5N1uWLsOUPYs/td7Dzh9d0uE5bpdaBZ2rZwpVaSmqJiEjf0fTlun03FmvnEwFbbi6BmhrMQCBUpfV//0fa6aeRPOe48Bx74VC820tjFW63BOrqsB1wnhaAYRhYU1KwpKXGIar4CAQD3P7+7aytXMu/Sv+F3WLn2wXfjndYchSyxTsAERERERERkb4s2NKCp7iY7CuuwNnFwfdtBtx6C7a8gdjz80k75RR8u3YB4Pn3v0maOTOcDMs87zwqH3oY97vv4q+pwZaVFbGOP9x+MPKLabacbLDZ8O9R+0EREek7moqLARh0772knnxSl3NtuTkQDOKvrqZl02aCHg8Z51+AbcCA8BzHsGF4t22PZchh/tpaTJ8P+377B+rrafz3J+HzMg9kGzAgIt7+rralltdLXuetbW+Rm5TLnPw5pDi6bjMpEguq1BIRERERERHpQsvGjeD3kzBxQrfmG1Yr2YsWkXbKKQDY8vPDz1JPPTV8nf2DHzDwZz8L7fH11xFrmF4vgZpaLKmp7SrCDKsVx5AhuFYsJ+jx9OgziYiIRFtTcTGOYcPIOOfsg56pZc3JAaDm6adpXvclALbsLGy5ueE5jsJCfDt2YAYCsQu61Z6f/5xdN91MsKUFMxgEYO8DDxCorSX3phs7fKfg8ccZ8JOfxDy2vqIl0AJAwAxQ3liu1oMSN0pqiYiIiIiIiHShef16ABIndC+pdSDDMLDmhr54l3bqKfvGbTbSzlwQ2mPDvqRW3UsvsXHGTBo//gjrAa0H2wz82R14t5aw585fYJpmj+ISERGJFtM0aSouJrGoqFvz7a3Jq5onnqTywYcAsKSmYnE6w3Mcw4Zh+nz49kS33W5Hf256N2/Bu3UrG6cUUfHr39BUXEzdCy+Sdcn3O/3z31EwuF2L4P6sydcUvrZZbHyr4FtxjEaOZkpqiYiIiIiIyCGpe/VVyu/59VGTTGlavx5rRkZExdWhKnzqKfL/57cR34EOofOybIMG0dxaqWWaJpUPPYzp9eLdshXn8OEdrpcydy65N95Awz//Se0z/9fjuERERKLBt2MHgdrabie1rDm57cdS951PZc/PxzlsGADebduiEiPAnrvvpvTCiyL+H8YMBPDt3k2gvh6A2mefZc9dd2MbMICc62+I2t5HuuZAc/h61qBZpDvT4xiNHM10ppaIiIiIiIhE8JbtomXTRgynk5Q5c9o933P7HaEL08Q5aiTWzCxSTzoRw9Y//4rZ9OlnJE6ZgmEYPV7DOXIkzpEjO3yWOHEinn//G9Pno/rJxfgrK8m48AIcQ4aQ/t3vdrpm9tVX0/TlOiruvRfX8uUMfeLPGFZrj2MUERHpqbbztBKndi+pZWutYA6zWjGSkgAY8++PMex2gk2hyiDvtm0wd+5hx2iaJnXPPQ+Aa+nScJtg/969mD5fxNyWr79m8MMPYU1JPux9+4sm/75KrVMKT+lipkhs9fhvHIZhjAVe2G9oBHCnaZoP7jfn28ASoC2d/rJpmr/s6Z4iIiIiIiISW57Pv6D00kvB7wdg+D+WkDBmTPh5wN0Yvq599tnw9eD/fZi0k/vf2Qq+XbvwlpaSefHCmO2RtmABrqVLKfnO2XhLSkg9+SQG3nFHRAumjhgWC/n330/p97+P5+OPCdTWYsvJ6fIdERGRWPAUF2NJTsY5alS35h/4Z5w1JSX8zSPW9FAFkJGYiCUtjZaSkqjE6N2yJXzd8Oab4aSWr6ys3dyUb32L1H74/zWHoy2pdV3RdZw18qw4RyNHsx63HzRNc6NpmkWmaRYB0wEP8EoHU99vm6eEloiIiIiISN9W/eQTWJOTGfrUUxhJSVT+7gGCHg8AQa+XygceAGDIn//M2M9XM2rlCgyHg6bPvyDY2NjV0kekxo8+AiB59uyY7ZF6wrexZmXhLy9n0K/vYfDDDx80odXGmpJM9hWXAxB0u2MWo4iISFc8qz4icfq0HlcMW9LS2o0ZhoFz+HC827YD0LxxI96yXT2OsfGTTwCwZmcTdO37M9O7c7+klmGQe9ON5P3ql4dVod0ftSW15g2dh9WiynCJn2idqXUisNU0zdIorSciIiIiIiK9zFtainvZcjIuupDkWd8g55prcK9cydZTT6Pm2WepfOghap99FsNuJ7GoCEtSEva8PBLGj6dm8WI2Tp+B6fXG+2McsoC7EdfyFR2eEda0bh2WtDQc3fzO854wHA6G/fVZRrz5BhnnnnvIX0SzpKQAkVV0IiIivcW7Ywfe0lJS5n7zkN4b/srLJLe2Od7/PK39OUaMwNtaqbX71tvY+9//3eM4PZ98ii1/EM4xoyO+EcdXVgaW0JfJ7UOHkHPNNdgHDOjxPv1VW1Ir0ZYY50jkaBetpNaFwHOdPJttGMYawzDeNAxjQpT2ExEREREROeoF3G58FRVRW6/mL89g2GxkXXwxADlX/4DCvz6LvXAoFb+6h5onniSxqIjhL/894owJ+9Ah4evmTZujFk9vqXr0Ucr+4z9o/ODDds/8e8qx5+fH/Lu1HcOGYR84sEfvWpJCvxaq1BIRkXhwf/ABAClzjz+k9xLGjSNh8iQALJ0mtYbjr6wk4HLhr67GX1XVoxhN08Tz6ackzzwWa0pKxJ+Zvl1l2PIGYs3OxlEwpItVjm5tSa0EW0KcI5Gj3WEntQzDcABnAX/r4PHnQKFpmlOA/wVe7WKdqw3D+MwwjM8qKysPNywREREREZF+r+I391K68OKorBWor6fu5ZdJW7AAW25ueDxp2jQKn3mGIU/8mfSzz2bwgw/gHD064t30s74Tvm5e92VU4omlAyuyvDt3AFDz9NPt5vrKy7Hn5fVKXD3VVqkV9KhSS0REel/j+x9gHzIEe2HhIb/bdn6WNa3jpJZzxAgAvCUlBBoaCNTXHfIeTWvX0rJpE4GaGpKOnYklKTmiUsu7swxHwRByfvjDmJ6heaRr9jcDkGRLinMkcrSLRqXW6cDnpmm2+/ZA0zQbTNN0t16/AdgNw+jw1FrTNP9omuYM0zRn5O73FygRERERERFpzzRNGj/8EN+uXfij8I2BtS++iNnURNaiy9o9MwyDlDlzyL/v3g4TPCnHz+GY9euwZmTQ9GXfTmrtfeBBSs48M+KLWS2bQ9VljR98gGvZsoj5vvJybIP6dlKrrWpOlVoiItLbgl4vjf/+Nylzj+9RVbM1IwMAS2r7M7UAHMOHA9C0fj34fATq6g9pfe+OHWw//wK2nfs9AJKOPRZLcnK79oP2ggKyLr2E1HnzDvkzHC1UqSV9RTSSWhfRSetBwzDyjNb/mhmGcWzrftVR2FNEREREROSo5tu5E39r68HmDRsOe72G198gacYMEsaO7dH7htVKwsSJNK9bf9ixxErjx/+m+g9/wLtlK9VPLgZCFWq+0h3kXH8djlEjqXr89+H5QY+HYH099rxB8Qq5W/adqaWklvx/9u47PKo6a+D4905v6b0AIYAUARWRqrCKvWBHsSC2XbuurmXXfe2uva4d7C4KCIoVKQJ2pBdpaSQhkELqzGQy9b5/DBmIpE1IAXI+z7PPM7nld8+wMZncc885QgjRuVyrV6PW1mI9/oQ2nR+q1IqwNbrf0KMH6HS41q4FwF9V1egMzKaE2hX6fOhSUtCnp6Ox2fBXV7P9kkupXbMGX2kp+vS0NsXfnbh8LoxaIxqlvSYaCdE2ugM5WVEUC3AK8Ld9tt0AoKrqG8BFwI2KovgAF3CpGs5PHSGEEEIIIYQQjapdsSL02rV+A5qICNxZWUSdey4aozGstQJ1dbizsoj76/UHFJNp4ADKly9H9XpR9PoDWiscgbo6VJ8Pra3xG2L1KmfMQBsbi3nYMZRPn46i01I97wsArCNG4Csuxr50aeh4b3ExAPqDvFIr1H7QIe0HhRBCdI6A203RXXcRqK5B0euxjhzRpnW0Uc1Xail6PYYePXCtXRfc4PMRcNY2mO3ZnH1ncFmOG46iKGiswXNd69ZRPW8esCd5Jprl8rkw68xdHYYQB1appapqraqqcaqqVu+z7Y09CS1UVX1FVdUjVVU9SlXVUaqq/nKgAQshhBBCCCGEANe69WgiI9H36MHuV14hf/JlFD/wII4lS8Jey711K/j9mAYNOqCYjEccAV4v7ry8A1rnz1S/v9k1d973T/InT272yW1vURGOJUuIPPsskv/v/1D0espeehltTAxpzz+H5bjj0MbE4q+sQg0Egufs2gWA7iCfqaUYjaDTSftBIYQQbaZ6vRQ/9nioJW9LnL/8gmPRYmpXrMA8/NhQoihc9e0Hm5qpBWDIzMRbUBD62l/V+rla+ya1rCOCibd9Y61PlunT0lu9ZnclSS1xsJBaQSGEEEIIIYQ4BNVt3IjpyEEk3HIzMZdNJuWJJwDw7twV3jqbN5N/xZUAmI888oBiMvbrB9DqG2J/5lq7lrxLLtmvjV7lzJnknnEmzt9+2+8cf1UV9sWLcWdl41q9er/9qsfD7mnTyDlnImi1xEyahD4piYyPZ9B73udkfDyDyDPPBEAXFxt8ArymBgDfnqSWPuXgbj+oKApaq1WSWkIIIZpU+vwLFN5wY5P7HcuWUfnRR5Q+/0Kr1nMsXRZ6bT766DbHpU9LxTJ6FOZhxzZ5jDGzd4Ovw0lq+XcHJ+HYTp6AbcIEADT7VHm5t20DwNBDklotcflcMk9LHBQkqSWEEEIIIYQQh5iAx0NdVhbmI48k6txzSX7gAaLOOxfFYsFXUhzWWuXvvIvq9QKgO8DkjSEzE7Ra3NvaltTa+c9/UbduPY7vv8dbVBTaXrcu+BR1wdSrKbjm2gbD3WsWLACvF3Q6qubMbbCe6vGQf9VUyp57HuuY0WR+9RXGvn2BYALuz/PDtLFxAPgqKoLX3bYNxWxGn5rapvfTmTQ2GwGnJLWEEELsz19TQ8WHH+JYtgy/3d7oMVWfzgHAsWRJixXXqqriWLoU87BhWMedQMwll7Q5No3RSK9338U8uOkHawwZf0pqVYdXqaWNi6PHK6+gi4kJXnPfqrJAAMVkQhsfH17g3ZBUaomDhSS1hBBCCCGEEN3Ovm3qHD/9jOPHH7swmvC5t2WB14tpn8oqRVHQJyXhLS4Jay3X2rUY+vQhY/ZsFEU5oLg0BgOG3hnUbdncpvP9e5JJO++5l+wJJ+PfUzHlzg3eXDMPPxbn8uXkXXgRlbNnE3C7qfn6GwwZGUSffz4133wTOgdg95tv4VqzhpQnn6DHK69gaGEIvC4uNhhHefCp7rpNmzANGICi1bbp/XQmjdWK3ykztYQQQuyv+rPPUF0uUFVca9exe9o0tl86meLH/4Pzt+W4s7JwLFtG1AUXAGCfP7/Z9eo2bcJXUkL0RRfR86230Hdwm15DGyu1Sp5+hqpZs9D9KWGl/VOrRH162gF/BuoO6nx1ktQSBwVJagkhhBBCCCEOGarfT+2KFc3OTmpJ3dZt5JxyKvYlS6j48CMKr7uOwuv/iur14ikoYPtll+PaUxl0sKr88EPQ6zEfc0yD7brkJHzFzVdqlU+fzo7bbqf0pZeo/GQm3sJCYiZdjHnI4HaJzXLscFwrV4Wqv1rL+csv+KurG2wr+vud2Jcuxb11K7FXX03GRx/R443X0VgsFP/fA2w96mhqly8n8uyziZl8KWpdHdWfzwudX/P111jHjiX6vPNaFYM2rr5SqxI1EMC9afMBzxnrLBqbjYBDklpCCCEaUgMBKmd8jHHAANBoqPjwA8qee56A00HVzJkUTJ1K7rnnoZhMJP7jLkxHDcW++HsgWM1d+ckn+63pWLIUFAXb+HGd8h6MvduW1Kp45x0AdHt+v9fT2GwNvjbIPK1WkfaD4mAhSS0hhBBCCCHEIaPkqafIv3IKrjVr2nR+wOWi6K478e7YwY4bb6Lk8cdD+5y//UbtipW4Vq9m+yWXEqitba+w21Xdli1Uz5tH3DXX7PdktD4pGW9JCb6Kiv3mWvlraiifPp3SZ5+jdvVqyt+aRvFDDwFgGTWq3eKzjh1DwOnEtX59q473lpZS9I+7Kbjm2gZt/iyjRuFav54dN9yI6vGEqtJsJ5xAxpxP6fnuOxj79QVFIersszANGoTpqKFUzpyJqqp4i4vxbN+O9fjjWx27dk9bIn9FOe7sbAK1tYdQUktmagkhhNif85df8eTnE3ftNRgH9Mf5Q7A6vdeHH3LEr7+Q9tJLRE2cSNI/70MXG0vEhJOp27gR765dlD79NMUPPdygChrA+dNPmIYO2S9Z1FG00dFo4+LQREUB7PcQTEvq2wrX0/y5UqtHjwMLsJtw+VxYdJauDkMISWoJIYQQQgghOlbA46Hio/+FNdQ7dK7TiaewEICqTz+l8oMPAXDn5ADBmxrOX3+l4n//w5Of3+J6JU88iScnl9ipU0GnI/G+e+m/bi0am42ab77Fu3Nn6Fh3Tm7Y8XaGmq+/Aa2W2KlX7bevvlIrf8oU8i6ehGfH3rlU5e+8Q+mzz2EaNIi+ixbSf81qMr/8goxPPt5vttSBsI4aBRoNzp9/btXxRbfdjn3BAuJvupHMr78K/n8D9HjzDfr9/BPpr75C3PXXEXHiX0LnKIqCdfRoen/+OX2XLcWQkQFAzCWX4snJoXbFCpy//RaMZ3TrE3b1szZc6zew45ZbUSwWrKNGtvr8rqS12Qg4HFTOnIXz119D28OtmBNCCHF4qZwxA21sLBGnnUbCTTcBoEtMRBsdjcZqJfK0U0l98gliJk0CIOLkCQDUzP8utMa2ESOxfx4vEMgAACAASURBVL8ECLZwdmdlYR48pFPfh7F3b3QxMShmc9iVyRpbwyTWfkmtFtoTd1d/7owg7QfFwUKSWkIIIYQQQogOo/r97LznXkoee4ziRx9j14MPhXWTfed994VaBe56+BGsY8aAXo+3oICSp55m28hRFFx9DSWPPkbu2efgzm06EVXz3QKqZs0i7rprSbrvXvqvXEHc1KlojEYiJkzAvmgRnn0Go3tycw7ovXcEVVWpmT8f66hRoQTMvvTJKQB4snNQ/X523HRTKMHhWrMWQ0YGGZ/ORmMyoTEYMPbrh/noo9s1Rm1kJOYhQ3C0IqnldzhwrV9P3HXXkXDbbWjMZhLv/gf9V61EYzSiMRiImDCBxLvu2u8GFICi1aJPTAx9HXnG6WgiI6n44APKp09Hl5qC8YgjWh27otejjYqi+rPP8FdV0eudt9GnHRo3ujRWG36Hg7IXX6TsxZcAqJw1iy1DhuLbvbuLoxNCCNEV6rZtw7F0KdEXXxz8nXryySTefTdpL77Y5DnGzEwMvXtT+dFHABh69QLAtSFYge0rLSXgdO4356qjxd98Ewl33IHGaEStq2vVORqrFUNGBmnPPttw+5/bD0qlVkiNp4bLv7mcl1e/zF9m/YVZW2cBwSqtiroKIg2RXRyhEJLUEkIIIYQQQnQQVVUpefxx7PPno1gs1Hz9NVUzZ+LauLHVa9Q/FbzjppsxpKaS9sLzGNLTceflUT13LpYRI+jx9nR6z52D6vXi+P77Jtcqf+stjP36kXDbbQBoTHtnAkSeeQYBux374sWYjhoKOl2oUsvvcLLj9jvwFBS05Z+hXdVt2oS3sJDIM05vdL911Egsxx1H8oMPkP7Si/jtdgquvob8q6ZSu3w51jGjUTQd/2egdexY6jZsbLE9kGvtOggEsAw/NrRN0WobTWC1hsZsJvr883AsWownO4eUhx4K+/3qUlLQxsfT68MP2j3h15G0cbH4KyvxV1biWr8eX2Ul9oWLAKj+6qsujk4IIURnC7jd7Lj1VrSxscRecXloe9y112AZdkwzZwartbxFwWrvlCefQJecjG9XcGanZ88DRMY+fToo8sZZR48m8vTTUEwmAu7WJbVUj4eIU0/dr12zxrK3hZ5l1Kj9ZpR2Z4//9jjry9YzbcM0KuoqePS3R7n1+1t5a/1b1PnrOLHHiV0dohCS1BJCCCGEEEJ0jMoPPqByxsfEXnsNsZdNDm2v27SpVecHPB7Yk5DQWK2kv/4a2qgoDL164Vi0GH91NdGTJmEbOxbToEEY+/XD+cuvja7lr66mbtMmIk47DUWv32+/dfRoNFFRqG43hl69MPTsiXtPpZbzxx+wf/cdtStWhvtP0O7s8+eDTodtwoRG9xsyMuj14QfETJ5MxEkn0Wf+tyT965/ULl8OgGno0E6J03r8WAgEcP62vNH9AWewbZBr9SrQajENPardrh1z5RQsw4eT9sLz2MaFP8A+/eWXyPxsbru2ZOwMusRE8PuDX6gqzp9+QhsdDUD1nLldGJkQQoiuYF+wAG9+AamPP4YuISGscyP2+Zxh6NkTfXIy3uJgUqu+Kt7QO7P9gg1DsFLL3eKDM2oggOr1ohgM++1TNBrSXnqJvt8vptd776KLje2ocA8pATXAj0U/Nth2Qb8LWFu6lukbppNsTWZ48vAuik6IvSSpJYQQQgghhOgQNfO/wzRkCIn/+AfWfZILdRv/aNX57s2bwesl+aEHyfxiHsbM4M2T0DBvRcE6dkzoeOuY0dSuWhVMhtWvkZtH9smnkHXCOFDVJucjKQYDEaecHFw/LQ1jn0w8eyq1HD/+BEDAYW/lO+8YqqpS8+18rKNHN9p6sDEao5HYKVNIvPsfAFiGH9eRIYaYhwxBY7Ox+803yD3vfPz2vf92jh9/YuuIkbjWrsW+dCmmwUeitbWtMqsxhvQ0en30IZFnnNG283v2DPvm38Fg3zaMAI5lP+ArLQXAnZXVqplzQgghDk11mzcTcLtDX7vz8ih/axr6Xj2xnnBC2OuZhg5FmxCPxmJBGxuLLiUZ365dwbW3ZaGx2dAlds3vSsVkwrV+PdtGj8GdldXkcfXtrhXj/kktgMjTTkWfmtohMR6qtldvx+6xo9cEHwDTaXQ8OPpBFly0gIfHPMzjYx9Ho0g6QXQ9+S4UQgghhBBCdAhPbi6mgQNRFAXriBH0WbQI6/hx1LWy/WB9RZdt3LgGNx3Me6qN4m+9pUFyxzRoEKrbHWqXA1D7+3K8O3agejyg04XObUx9EsSQ3gNDRkbwPL8f54/BJ1b9Dkcr33nHqNv4B94dO4g8/bSwz4279lr6r1mNoZMGoSt6PZaRI3Fv2ox7yxYKrrmWgmuvI+B2U/zoo+D3UzFjBu5Nm4k66+xOielwp9snqWXIyMD54494d+3CNHgwAPYlS7oqNCGEEGHylZWRe8EFFFxzDSVPPEHVnDmUv/MuO267HdeGDQ2Ordu6jbwLLqTivfeB4EMwhTfcgKeoiMS//71NbYcVjYbYy68g4pRTUBQFfXIK3uJialesoGruXKzHH4+iKO3yXsOOzWTEW1gIgUCzraHVPUk+TSOVWqJx68rWAXBaRvCzZpIlCY2iwawzc0G/CxiRMqIrwxMiRNfVAQghhBBCCCEOL57CQjQ2G/7q6gZDxA3paZgGDqT8x59QPZ5G28E0WGfHDhS9Ht2f5iBEnn0W1uPH7letpEtOAcBXUoKxd/C67uwcNBYLfb6bj99ub/aa1jFjSH3mGSImnET1vHmoXi/OX37FV1YGQMDetUmtmvnfgk7XoCVQODRmcztH1Dzr2DE4Fi8GoG7PDbjSp57GW1CAYjZT88WXoNMRedaZnRrX4WrfpFbUhRdQ9tzz+KuribhqCqq7DucPPxI3dWrXBSiEEKLV7N8vwb1pMwwYQO3MWah1e2ZI6XT4q6vp9f57oWPL354Oqorjhx+I/9tfca1ahTe/gJQnnyDy9MZncLZG/A1/C73WpySjut0U3nwLhrQ0Uh55uM3rHiiNce9MVH9V0y0I1T2V+4rR2OExHS7W715PhCGCMalj+Cr3K1KsKV0dkhCNkkotIYQQQgghRLtx/PQzOaecyu5XXwMIJZfqGTMzg0/WFha2uJZ35050qSn7PWGsKEqj7ff0yUnB8/bMfABw52Rj6NsXXUJCqH1hUxRFIeqcs9FYLKHKsKpZM4P7TCYCzgNPaqmBAO6sLFRVDftc56+/Yhk+PDQn6WAXecopWI5r2O6wcsYMIk4/PTTrynb88eji4roivMOOLi4O9jw1HzXx3NA8Ol1iEsZ+/fAU7ejK8IQQQoTB+fPP6FJS6P3ZXPqvWkmf+d/Sd9lSEu+8k9rly6ldGZzz6S0qoubrb9DYbLjWrqX4kUcp+vudKBYLkaec0m7x6FL2JDdUlfTXXkMbGdlua4dLMe1NUvmrqpo8rr5SS9FLpVZrrStbx9D4oaTagp+DJaklDlaS1BJCCCGEEEK0G9fatQBUfvQRAIY/JbXqh4rXDxlvjnfnTgxprW+Xp0sKJrUcy5ZRPW8e3pJS3NnZGPv0afUa9eqTWvbvl2Ds1w99air+dqjUcixdSu45Eyl78aWwzlP9fjw5uZgGDDjgGDqLLiGBXh9+gGXE3lY1isVC0n33Yho0CICocyd2VXiHHUWvRxsfhyYyEn1SIuajjwaCFVy6xCR8pWVtSqYKIYToXKrfj/O337COHYOiKChaLYaMDPRJScRcMgl9Who7/3U/foeT8vffB0Uh5dFHwO+nas4cTEOG0OOV/6Kxtt+8SvOgQejT0kh7/nmMmb1bPqEDNajUqm66UisglVphcXqdZFdmMzRhaCiZlWxNbuEsIbqGtB8UQgghhBBCtBv31q2h1xqrFf2fklKG3hkAePK2t7iWt2gnxr+Mb/W1NSYT2uho7N/Ox/7t/NB2Y9++rV6jXmiGl9+P9YQTqF25kkA7zNRyrV8PQPmbbxJ37TWtftLZu2MHqtuNsV/476WrGfv1o/b330n6v3+jT0lBn5xM1MRz8FdWYmtjK0XROH1CIoE9Laps48bhWr06mNQqK0N1uQjY7V36dL0QQoiWefLzCdTUYDl2+H77NFYrqU89Sf6Uqyh59BHsS5YSedppRJ5xBobMPhh6pKOxWNo9Jn1aGn0XL2r3ddtCMe3bfrCZSq36pJZB3+ExHQ427t6IisrQhKEkWZI4r+95TOgpn9PEwUmSWkIIIYQQQoh249q4EePAgRj79iX28stQtNoG+7U2G7qEBDx5ec2uE3C78e/evTe51EqaiAj8VVVEnX8+xj6ZuDb+QcQpJ4f9PjRWK9qoKPzV1dhOOB73li0E7Paw16mcPRv7okX0eOMNFEXBnZ0d2ufZvh3z0KGtWqf+vLYk6Lpa7FVTMB15JNEXnB/apk9JIem+e7swqsOT7S9/CSW1os4/H09+PuYhg/HtDs6F85WWSlJLCCEOcvUPCJkG9G90v2X4cOKuv57yN98EIOq884LH9z+icwLsYpp92w82U6m1N6kl7QdbY31Z8MGrIfFD0Gq0PDr20S6OSIimSVJLCCGEEEII0S6cy3/Ht2sXsVdNIW7q1CaPM2Rm4mmh/aB3587gsWG0H9z3vKhzzsY6ZkxY5/6ZLi2VgMeD+dhj0Xz8Cd7SkrDXKP6/B4DgDSrTgAG4t27D2K8f7qys8JJaWVkAGPocekktQ8+eGHr27OowDlk1nhrMOjN6TctPmifcdmvotT4pkdQn/hN8nZgIgLek5JBMjAohRHdSt3UraLUYmmmfnHDLzTh//hlfaSnW0aM6MbqupxhbWam1Z6aWRtoPtsq6snX0jupNlDGqq0MRokUyU0sIIYQQQghxwOq2bmXHzTdj6NOH6PPPb/ZYQ2Zv3Lm5+833qZw9m5KnnkZVVTz5+QD7tS9siT49eHz9PKEDEXXmmcROmYLGYEATYSNgd+DOzcO+qPXtd3R7kgllL75E+dtv4y0sxHbyBNBo8GzPb/U67qxs9KmpaG3tNx9DHPy8fi+TvpzEVd9ehdvvbvM69fPmfKVl+CorsS9aJPO1hBDiIOXeug1jZm80zVQYKXo9Pd95m4yZn6DoulfNglRqtT9VVVlftp6h8a172EqIrta9fuoJIYQQQggh2p23qIjC665HY7XSc9pbaKOaf8LT2KcvAbsdX1lZqIIEoOabb6j99Td08fH4a2pAq8U0aFBYsfR65x3cuXntMk8i7rrrQq+1NhsBh4Pyt6dT/fk8+i5ehD65+eHZqqoScDoBcCxdimPpUtBosI4eTc2XX+HZvr3VsbizszEcgvO0xIFZkL+AIkcRRY4i/rP8Pzw0+iEURQl7nfrkas2XX1L6zDP4KyrImD0b85DB7R2yEEKIA+CrrMS1bh3WUS1XX2kjI7tlS9nWVmoF9lRqKQap1GpOZV0lU76dQqW7kqMSj+rqcIRoFUlqCSGEEEIIIQ5IyTPPEnC56DXjf62agWXsG2yn48nJQZ+YiKqq+Csr8VcFn7Ytfe45dImJmAYNCjs5pU9LC7u6qzU0tggCTie+XbvA76fq0zkk3HJzs+f4q6oIOJ0k3nsvMZMuRlVB0WnRmEwYMjKo27wZX0UFutjYZtdRfT48ublYjx/bnm9JHAK+yv2KHhE9OD3jdKZtmEZFXQXbq7fz/hnvE2tq/vtmXxqTCU1UFM5ffkHfsyf+igq8u3ZKUksIIQ4yu/7v/wg4HMROubKrQzloKa2u1PIGj5dKrWZ9kfMF22u2A3Bs0rFdG4wQrSTtB4UQQgghhBAHpG79emzjxmE6onUDyg2ZmQC4s3MAKHvhRbLGjMVbUEDEqadi7JOJr7gYy7BhHRZzuDQ2GwDu3DwAqmbPRvX5mjzeb7dT/EBwnpahRzoaqxWtzYrGFHy62DJ8OJ68PLZPnkzA5Wr22p6CQlSvF2Pffu3xVsQhJK86j8Fxg7n56JsZmzaWpYVL2V6znWnrp4W9VuIdt5P84ANk/O8jAHwlpe0drhBCiAPgq6jAsWQpsVdd1S5tlA9XGpM59Fp1uUIVWX+meupnaklSqymqqjIvZx5D4oew6KJFZEZldnVIQrSKJLWEEEIIIYQQbeavqsK7cyfGgQNafY4uIQFNZCTu3GBSq/yttwAIOJ3oU1NJf+UVjP37E3HqKR0Sc1toI4JJLV9xMfr0dHwlJcF2ggRnNnh37mxwvH3RYuwLg7O39Onp+60Xf8Pf6PHWm3jzCyh94YUG+zyFhbizsgCoXbWK3DPPBMDYV9oPdifegJdiZzE9Inug1Wh5etzT/Hvkvzm558l8lv0ZATUQ1noxkycTM3ky2vh4FL0eX0lxB0UuhBAiXKrHQ+VHH4HfT+RZZ3Z1OAe1fSu1gFCl/5/JTK2WldSWkFWZxRm9zyDJmtTV4QjRatJ+UAghhBBCCNFmdVu2AmAa2PrZV4qiYOzTB092Dt7ShtUi2uhoDL16kTnv83aN80DVV2oBRF94AZWfzKTyk5lYRo4k9+xz8JWU0O/XX9DFxAAQcDhCx+vTezS6pm3cOGIuu4zKDz8i8pRTsBx3HHVbt5J/5RQCNTVYRo0KtdVRjEaMfeTp2e5kl2MXftVPj4jg90+kIZJLBlyCXqtnUcEidth30DOyZ9jrKoqCLjERr1RqCSFEl1JVlfI33sCTX4Bj6VL8VVWYhw3D2L9/V4d2UKuvekdRQFXxV1ehT0rc77jQTC2jzNRqyh+7/wBgaMLQLo5EiPBIpZYQQgghhBCiRa4NG3AsW9ZgW+2KFRRMnQqAKYxKLQBDn0zcOTnU/fFHg+3a6OgDirOj6NP2VlvpUlKIvvhinD/9RPmbb+IrKQHAtXZt6BhfRTkAfRYuQGuzNrlu4l13ok9LY+e/7idQW0vFO+8CkHD7bXi2b8e9eTNJ/7yPfj/9GPZ8MXHoqvXW8mXulwD0jGiYuOofE7zZubVya5vX1yUlhb5vhRBCdA3fzp2UvfQy1Z9/jnXMGNLfeJ1e77+HoihdHdpBrT5JpUtIAIJdAxojlVot+6P8D7SKNvTZQohDhSS1hBBCCCGEEM2qmDGD7RdPovBvN7D79ddRA8G2ZzXfLQAg6qIL0cXFhbWmsU9f/BUVuLOzG2w/WJNa+ybt9ImJRF98EWi1lL/7HprISNBqca1bFzrGX16BNj4eQ4/Gq7TqaaxWUh57DG9hIVWzZ+PZsQNT//7E33gjfRcuoNfHM4i58kq0EREd9t7EwWfGlhm8se4NgFClVr0+0X3QKlq2VGxp8/q6pERJagkhRDsJuN2hyupw1M/p7PnB+6Q9/xwRf/kLil7f3uEdduortfQpKQBN/tur7j1JLanUatKmik1kRmdi0pm6OhQhwiJJLSGEEEIIIUSjAi4XhTffQskjj2IdM5rIs86i7KWXKZhyFZ6CAmpXr8IyahSpjz0W9trGvn0AqF3+O7D3KdqDNaml6PZ2btclJaFPSiLipBPB78c2bhymAQNwrd2b1PJVlIdaEbbEOmokpqOGUjlrNt4dO9CnpQWvqddjOeYYFI382dbd1HprQ6/jzfEN9pl0JjIiM1hRvAJvwNum9fWJSXhLS1FV9YDiFEIIASVPPEHeRReH/TPVs2e2qLFPn44I67ClGIMJGF3qnqRWS5Vakihs0raKbQyMHdjVYQgRNvnrSAghhBBCCNGoqlmzcCxejPnoo0l+5FFSn32GlMcfo27LFnLPPQ/3lq1Yhh3TprXrb+DUrl6NJiIilMjRRke1W/ztLf7mmwHQJycDEH3ppcCepNTQIdT98Ufohpa/vAJtGNVrMZMm4cnJwVdSEvq3EN2XL+ADYNqp0xptQ3VBvwtYU7qG/675b5vW1yUmoLpcBJy1LR8shBCiSarPh33+d3gLC/Hk5YV1rjs3D21UFNrY2A6K7vCkMQUrr/TJwaRWoKlKLY8bxWCQdo5NcPvdlLnK9mtzLMShQJJaQgghhBBCiP0E3G7Kp7+NZcQIMj75GEN6GoqiEH3hhWR++QWW4cMhEMA6enSb1telpKBYLKi1teji4kJzEQ7WSi2A+Ftupv/qVWiswRlZ1jFj6PnuO0Sdey7GzD4E7Hb85cFZWr6KcnRh3KSyHn986LUktUStr5ZYUyyjUkY1un/KkVMYnjScVSWr2rS+xmoDIOB0tjlGIYQQwYdz6iuFcs88i6K772l1K0JPTg6GzExJuoRJ2dN+UBcXi6LX46+qwrd7N/6amgbHqR6PzNNqxi7HLgBSbaldHIkQ4ZOklhBCCCGEEGI/VZ9+iq+sjPibbtxvnz4lhR5vvUmfRYuwHHdcm9ZXFAVjZiYA2vg4dPHBFmsHc1JLURQ0FkuDr62jR6Po9RgyMgBCT2mHW6mlT0ra+1qSWt2e0+vErDM3e0y/mH7kVOW0qYVgfWK2qaTWrocfZsdtt4e9rhBCdDeOxYsbJE5qvv2W3HPPw1NY2Ox5qs9H3bZtoXbMovU0e2ZkKWYz2uho/NXVZB1/AtmnnNrguIDbLfO0mrHTsROAFGtKF0ciRPgkqSWEEEIIIUQXq5gxg+LHHifgdnd1KEDwydby6W9jPuYYLCNHNnqMoigY0g8s+VLfglAXF4++Zw+0MTGh4d+HGkPv3gC48/IIuN0EHA50cW1rJ6RPkydmDze7HLuYvmE6ATXQquOdXidWvbXZY/pG98XpdVLsLA47npaSWlUff4J9wYJWVxsIIUR3pKoq9sXfYx09mtRnnib50UfI+Phj/JWVlE9/u9lza1euIlBTg3Xs8c0eJ/anS0jAkJGBaeBAtNFRoUq5P7chVD1eqdRqxk5nMKmVZpOHqcShR5JaQgghhBBCtLPy6dPJm3QJvsrKJo/x5OeTd9HFFN15JyWPPErlRx9RcPU1zZ7TWao+/xzfrl3E33Rjh7bEMYSSWnHEX389GbNmdti1Opo+JRnFYMCTk4Nj8WKAsGdk9HznbWzjx6NPkSdmDzeP/vYoL61+iU3lm1p1fK2vtlVJLYCsqqyw46mvOAzU7j9TS/V6Q6/tCxeGvbYQQnQX7m3b8O7YgW3CSUSdcw4xF1+MechgIs8+i+ovvmj2wQD7okUoRiO2EySpFS6N1Uqf+d9iGTYMbVQ0/qomZmq53Wi6WVLLG/By9mdn89327xpu93s59/Nz+WHHD6FtOx070SpaEiwJnR2mEAdMklpCCCGEEEK0s9qVq6hbv57CG27A73BQ890CVI+nwTGlzz1P3caN1HzzLdEXX0Tqc89St3Ej+ZMvw1scfuVFe/E7nOz+7yuYjhraYM5TR6hvuaONj0NjtWLo0aNDr9eRFK0WQ69eVLz/AUV33oU2KgrzUUeFtYZ1zBh6vPkGilbbQVGKjra1YitP/f4U/oC/wfZaXzB5tLpkdavWqfXWYtFZmj2mT3Twv5+cqpyw42yuUstbVBR6XfLMs7g2/gFA3dZt2L//PuxrCSHE4cq+aBEoChEnnthge+wVV6C6XFTNmdtge6C2Fl9lJe68PKrnzsV20omhn8eibTTRUfir9j4QtuPWW3FnZwPdc6ZWibOE/Jp81pWta7A9uyqb3Opcnvz9ydC2nc6dJFmS0Gl0nR2mEAdMvmuFEEIIIYRoZ77SUnRJSdRt2Ej2uPEEamtJfuRhYiZNQvX5KHniSewLFhD3179iHTMay8iRKIqCPiWFgqumUvHueyT9875Oj1sNBCh+6CF8ZWWkv/LfDh9cbjyiPygK+tTDo91e9ORLca1cReRZZ2I74YRudyOlu6v11nLXsrvIr8ln8oDJ9IzsGdrn9AaTR7/t+o0tFVsYmjCUSwdc2uxaydbkZq8XZYwi0ZJIdlV22LE2l9TyFBQAkPrUk5S99DIFV19Nz+nT2H5JMN4Bmzd1+M8GIYQ4GJW++CLOX3+l13vvoRiNOBZ/j/moo9AlNKx0MQ0ciHn4sVTOmEHsVVNQtFrceXnkTjwX9lTDKno9iXfc0RVv47CijYqitrgk9LV94SK8xSX0+uhDateuwTx4SBdG1/l2OXcBUFpb2mD7lootAA0+W+RW5ZIekd55wQnRjiSpJYQQQgghRDvw2+2UPPUUCbfeiq+sDOv4cViOOYZd9/8bAMeSpWijo6maNRvnTz8Re/XVJNx+W4OqHMuwYVjGjMa+eDGJ993b6TeO7QsWUvPVVyTccXvYVUZtYUhPI2PWLEz9j+jwa3WG2Msug8su6+owRBd5duWz5NfkA1DsLEav0aMoComWRLZXbwfgx6IfAfgy90suPuJitJrGq/KcPmeLlVoQbEGYVdmG9oPWptsPevKDSS3r2LFYjjuO/KumhhJaAP6qKnQxMWFfUwghDjauDRtwrVlDzOWXN1klrQYCKBoNAZeLyv/NIGC3k3P6GShaLd6dO0m4685Gz4u94kqK7rgDx7JlRJx0EvbvvgOvl8R77kHR6zEPHYKhV6+OfHvdgjY6moDd3mBboLY22P6xbDexU67sosi6Rv2czWJnMXnVeaTaUjFqjaGkVqQhEgjO+txcsZnbh93eZbEKcSAkqSWEEEIIIUQ7qJzxMdWfzkEbGYWvvBxdQgLRF16IafAQyl58EceSJTiWLAGdjuRHHyHm4osbXSdiwgSKl/2Ae9s2TP37d+p78O4oBCD2ys67AWAeMrjTriVER1lWuIzZ22YzoecEFhcsZpdzF/f/fD+ltaWMSB5Bnb+OO4bdQWVdJb8X/87mis2sKFnBqJRRja7n9DpbnKkFwaTWzK0z8Qf8TSbIGtNspVZ+PhqLBW1cHIqi0OvDD9hx2+3UrV8PgLegQJJaQojDQtE//oE3v4C6PzaR+tTetmyqqlLy6KP4yitw/vQTSf/+NyiEkie+kmBlkPmYY4i+6KJG1444eQK65GQq3n2Pmq++ouabbzENGULcNVd3/BvrRrRR0fttCzidVLz9DqZBg7CMavz37OGqPqm1rmwdEz+fiE6jY2DsQEqcRpwf+gAAIABJREFUwe/Zandw/tj3hcF2wif3PLlrAhXiAElSSwghhBBCiDZSVZW6TZtwLFtG5QcfAlDx7rugqugTEwEw9T8Cy4gROJYsIercc4m/8QYMGRlNrmk+6mgAPLm5nZ7U8lVUohiNKJaWK0SEEEG7Xbt54JcH6B/Tn0fGPsLigsXM3z6fYmcx49PHs74smAwakTyCIQlDqPPVMX7meObnzW80qaWqKi6vC4u+dZVabr+bIkdRg3aHLdGYzUBT7Qfz0Wf0ClWK6pOTyZj5CXUbN7L94kl4Cgo6pZJTCCE6kmvDRrz5BWhsNqrnzcO+cCGRZ5+NxmzGnZOD86efQsfav/sOf00Nhl698FdVEXC56LNwAbqEBBSNptH1FZ2OuGuvpeTxx0Pbos45u8PfV3ejjY7ab5tvz2zatBee73btcuvbDwLoFB1XDrqSDWUbsHuDCdkqdxUAi/IX0Te6LxlRGV0RphAHTJJaQgghhBBCtFHZc89RPv1tUBRMQ4YQc9lkdr/2OkCD+Qoxl03G0CMd20knNXnzo542JvjEqb+qquMCb4K/shJtTEy3uwEgxIF47LfHcHgcTD91OpGGSKKN0fxU9BMGjYGnxj2FTqMjrzqPAbEDADDpTJzU8yQW5i/k/pH3o9fqG6znCXjwqb5WVWr1i+kHQFZVVlhJLUWrRTGbKX/3XbSxMcRefnlonze/AOPAgQ2PVxSM/YLXqp+5JYQQh4qaBQvwV1YRc8mk0LbKmZ+gmM1kfv012y+5BNXjoWruXBS9Hn1aKrFXTcF24kkUP/oorjVr8FdXk3j3P/Db7eDzoU9KavG6MZdNxvHjDyh6A6mPP4Ymav8EjDgwjVVqAeh79CDilFM6OZquV1+pBRBviefOY4PtMVVV5ZHfHmFJwRLKXeWsLl3NX4f+tavCFOKASVJLCCGEEEKIMKheL6XPPofzl59xZ2VjmzCBlEceRhcXh99ubzSppTEaiTi5de09dNHBP859lZXtH3wL/BUVaGOlrZgQrbWmdA2LCxZz2zG3hRJMydZkqtxVjE0bG0pM1Se06p3R+wy+yv2KOVlzcPvdTBk0JZRMrvUG51y1ZqZWZlQmANmV2UzoOSGs2DVWK/7du6n65JNQUkv1+fAUFRFx+un7H28yoUtOxp2djaqqkvwWQhz0/DU1FD/6GDVffgkaDZGnn4Y2Kgq/3U7N198QdfZZ6JMSyfxiHorRCIqCotc3+PkWedqpwc92ej1R552HLi6u1ddXtFp6vPlm8LX8zOwQ2ujGk1qxV09F0XW/2967nLvQKTp8qo9Ec2Jou6IoxBhjqHJX8X3h9wTUgLQeFIe05h8TFUIIIYQQQjRQ890CKt5/H3dWNgBx11wdusGhjYgIHadLTGz0/JYoBkPwZnMXVGr5KivRxcR2+nWFOFS9/8f7xJniuHzg3kqnZEsyAKdmnNrkeaNTRhNljOLx5Y/z7MpnKXIUhfY5vcGWgK1pP2jRW0izpZFTlRN27BprcH1vcUlom3fnTvD5MPRsvOrL2K8f9m/nU/biS2FfTwghOpPf4STvggup+eYbIs8+GwIBnL/+BkD1F1+gulxEX3IpANrISDRGIxqDYb/kk3FA8KGEiAkTwkpo1VMURRJaHaix9oMpTz7R5Ozaw12Zq4ze0b0BGJ48vMG+GFMMftXP51mfk25L54iYI7oiRCHahSS1hBBCCCGECEP1l1+gS0mh99w5JN5zD+Zhwxrsj506FQBdfHybr6GNju6a9oMVFWhjJaklRGuoqsrqktWckH5CgwRUekQ6Bo2B8enjmzxXr9VzSq+9bZEKava29KtParWm/SBAv+h+ZFVlhRs+eH0ABOx2/I7gNT35wTgMvRpPaqU99yymwYNx/vpr+NcTQohOVLfpD7w7dpD61FOkPvkEGpuNor//Hefy36n6ZCamwYMxDz6yxXUsw4dj7NeXuKundnzQImyNVWpFn3ceil7fyNGHN2/AS7W7mlN6nsKrE17l1mNubbA/2hj8t1q/ez0n9zpZkq3ikCZJLSGEEEIIIVrBX13NrocfxvnDj0RNnIhp0CDirrl6vz8IE++9h/7r1h7QH9NdmdTSSftBIVqlwF5ApbuSoxKOarD9uiHX8cEZHxBhiGjizKAL+10Yev3E70/w+tpg61KXzwW0rv0gQJ/oPmRXZVNaWxpO+Pj2+RnjKw4OlvcU5AOgb6JSSxsZiWX4cNxbtqB6vaHtddu24c5qQ2JNCCE6iHfP/D/zUUNRdDqizj8fVJXCG2/EnZVFzKWXtGodXWwsmV9+ifmoo1o+WHQ67T5zyiLPPIMe06Z1YTRdq7Iu2Lo8zhzHuPRx6DQN2y/GmPZ+xj+5l7QeFIc2SWoJIYQQQgjRgtqVK8k58yyqZs4i5soriL/hb00eqygKGqPxgK6njY7GX9m5Sa2A202gthattB8UolXWla0D2C+pFWeO48j4lp/+Hxw/mPVT1mPWmdles53X1r1GQU0B83LmAa2v1Oob0xeACbMnhBJiraHW1oZe17cg9JdXgKI0W2lqOvJIVI8Hd87elod5E88l95yJrb62EEJ0NE9BIeh06FNSAEi+/1/0/OB91NpaTEOGEHXeeV0cYfeUU5VDQA2023oakwnFZAIg9dlnsZ1wfLutfaipqKsAINbU+Gf5+u19o/syNH5op8UlREeQpJYQQgghhBAtKH/nXdAo9P50Nsn/+hcas7lDr6eNiaFuwwaK/nE3qt/fodeq568I/iGslUotIVplc/lmzDozmVGZbV5DURS8gb0VTxM/n8icbXOY2GciQ+KHtGqNCT0nkBGZAUC1u7pNcdRXavkddjQ2G4qm6VsFpiODCbu6P/4AIOBqfSJNCCE6i6egAH1aKopub7WKdcQI0l99hfRXX2mwXXSO6Rumc96885i9dXa7rquNikJjsTT7u6s7qHA1n9QaGDuQ/xz/H/535v+k9aA45HXv/9qFEEIIIYRohuoLzpxxb9uGZfhwTIMGdcp16+cD1Hz1FbUrVnbKNX2lwdZlOpmpJUSr7HbtJsmShFajPaB1fIHgz5nBcYMZkzqGWefM4vHjH2/1umadmZuOvgnYO4+rNUJzSBQF765iAAI1drQRzbdNNGT0QmO1UvfHH9QsXMjWY4Y1e7wQQnQFb0EBhp699tseMWEC+sTELoioe/MGvLy29jUAVpWuate1tVFRaKytq24+nJXXlQPBivHGKIrCOX3OaTAHVIhDlTyWIIQQQgghui1VVan56mtUrxddYiKKVoNl1CgURcG1di3bL51M+huv492xg6gLzu+0uPadD1D91ZdYR40M63w1EKBq5kxsJ56IPjm54T5VxZufj2bPNXQxMag+HyXPPINisWAaPPjA34AQ3cBu1+4mbxyF4+lxT7OkcAlPj3u6zWvUtyoMJ6nV+7O5+EpK2HHb7XgKg7Nn/HY7mhaSWopGg2nQIFx//BFs77VHS+cJIUR78pWXo/r9jSao1EAAT0EBUUcf3QWRicYU1hSGKpM3l29u17W10dGoHk+7rnkoaqn9oBCHE0lqCSGEEEKIbklVVUqeeILKDz5ssN16/PEY+2Ti+PlnAHa/9joApiOO6LTY/JWVodf2hYtQH3oorDY59u++o/jhR+DhR4i66EISbr0NXWICzh9/pOyVV6lbvx4ATVQU/X5YRvmbb+FauYrUp5/aLwkmhGjcbtdu+sf2P+B1zuh9Bmf0PuOA1rDpbQA4vI5Wn6NPSUGfkoL5qKNwrQw+NR+oqWmxUguCLQgrP/4Y27gTQttClV9CCNEJtl92Gd78AgZsWI+i1wNQ9vLLVM39DPOQIQQcDiwjRnRxlKJeTnVwDuOEnhNYXLAYu8dOhKF9HoawjBgR6jjQnVXUVaDX6EOfCYQ4nEn7QSGEEEII0e2oqkrZ8y9Q+cGHxEy5kj7zv6Xn++8Tf/PNePLzqZr9KZ7s4B/f9QkgYycmtaxjxwAQf9utBKqrca1b1+pzVb+fsldeRdkz96v60znkXXQh2y+5lMK//g3/7t0k3nMPlhEjCFRXs/u119n9+utEnX8+URMndsj7EeJwVO4qJ94c39VhAG2r1KpnGTkS786deHbswO9woImMbPEc05FHorrdOH9bjnnYMGwTJqC63WFfWwgh2sqbH6ww3X7JpdRt3YY7J4fdb00DjYJ94UIsI0YQcdqpXRylqJdblQvAOX3OAWBVScMWhCXOEqZ8O4Xt1dvDXjvhlptJeeThA47xUFdRV0GsKVbmZYluQZJaQgghhBCi26n65BPKp00j+pJLSPrnPzFkZGAdOYKEW2+h78IF9F+9igHr1xE9aRIA+rQ09OnpnRZfxIQJDNi4gdgrrgCtFseyHxo9zrVhA9mnnYZj2bLQtppvvsGTk0PqE/+h5/vvkzF7Fob0Hvirq0h++GH6zP+WuGuupscbr6Po9ZS/+SaGjAyS/31/Z709IQ55db467F77YZHUso4MVjLULl/ebKXWqpJVzNo6CwgmtQACdjuGnj3RJyVK6ychRKfSWIJzgeo2baLinbcpeeJJNGYzvT/9lL5Lvif9tdfk5v5BJKc6h1RrKuPSxhFnigv9Pqm3rmwda0rX8N81/+2iCA99u5y7pPWg6Dak/aAQQgghhOh2KmfOwjR0KMkPPtDkDQ/FYAhVZ8Vddy2KpnOfB1N0OrSRkViGDcOxbBmJd/69wX7X2rUUXHc9AYeDqs8+xzZ+PKrPx+5XXsXYvz8Rp54aijnj4xn7ra+xWDAPPxbXqtWkvfC8DNgWIgyhYeymA5+p1R7qWw21Jall6NsXbVwczuXLgzO1mqjUmjp/KgCT+k/CkNELjdVKwOlEl5yE6qqTpFY34S0uxl9VRcDhwFtUROSZZ4Zav4nWcfvdTP12Kg6vgxhTDEfGHck9x93TbAJGVVVJ0OzD73AQqK0l8e67qdu0iZpvvkX1ekn6533oYuWm/sEivyafxQWLWVq4lLWlaxmXPg69Vs/F/S/mzXVvUmgvpEdEDwCKncUALMhfwJaKLQyIHdCVoR9Uvi/4niHxQ0iwJDR5zGdZn7F813KuHXxtJ0YmRNeRSi0hhBBCCNGteIuKcG/ZQuRpp7aYqIqZdDHpr71G9KWXdlJ0+7P9ZTzurVvx7toFgH3xYrZffgUF116HNjYW6/hxOH/5BdXno/rLr/Dk55Nw6y2tSsKlPPggPd9/D9MAuXEgRDh2u3YDEGc+OJJa9ZVaDk/rZ2rVUxQFy4jjqP1tOQG7vcWZWqqqomg0mAYOBECfnIxiMBDwesMPXBwSVFVl9+uvk3P6GWT/5UTyzr+AgmuvY+e991F0552oqtrs+d5du9h5//2Uv/NuJ0V8cMupymFj+UZiTDHUemv5aPNHbK/Z3uTxNZ4aTpp9Eh/88UHnBXmQ8xUHEyC6pCSsJxyP6vViyMwk5rLLujgyUW9F8Qomfj6RF1a9QJ2vjhuOuoH7Rwa7AlzU7yI0iqZBtVZxbTFGrZEIQwSvrHmlq8I+6FS7q7l9ye2cNPsk5mybE/r8sa+VxSt55LdHGJUyiluOuaULohSi80lSSwghhBBCdBuudevInnAyALYTT2zxeMVgIOKkE7v06Wjb+PEAoRaEu199DdeqVeiSk+n14QdEn38+gZoaXOs3UPPllxh698Y2YUKr1jZkZGA55pgOi12Iw1W5K1ipdbC0H9Rr9Rg0Bpy+8Cu1AKwjR+IrLQVVRdNCUsvlcwF7WxDqkpJQDAbwelEDgTZdX7TODYtu6JKbvXUbNlD20sto4+NIuOtOFJ0O1e3G2L8/9oWLqJ77WbPn77z3PqrnzKX0hRfkewTIrQ7OFnpg1AO8fNLLAHy85WNeWfMKm8o37Xf8iuIV7Hbt5tmVz7Iof1Fo+9LCpex07OycoA8y3uISAPTJSdjGj8c4cCDJDz4oVYOdqMhRRFltWZP7X137KvGmeL678DtmnTOLm46+iRRbCgBJ1iRO6nkSc7Pmhn6nFDuLSbGmcPWRV7NsxzLWlbV+nuzhLKsyK/T6oV8f4uTZJ3Pr4ltZsH0BH/zxAWtL1/L3pX8n3ZbOc395Dp1GmrKJ7kGSWkIIIYQQoltQVZXi//wHXUICyY88jDEzs6tDahVDnz7o09JwLFuGa/166jZtIunf/ybzqy/RJyVhGbFnHs7Klbg2bsRy3HHSokiIDlZaWwocPEktAJvBhtPTtqSWZcTI0GttZPNJLbvHDoB5T0Lc0KsXitEIIC0IO1Ctt5afi37mzfVvdup1q+bMZfukS1BMJnq88Qbx119P5Nlno42JIeOTjzEPP5bSZ57BV1mJt7QU5++/h85VAwGq5n5G7e+/Yxo0CLxe3FlZzVyte8itykWraOkV2YtUWypptjQ+3vIxb65/k/f+eK/BsVsqtjBj8wxMWhND4ofwzx//yUebPuLOpXdy6/e38tLql7rmTXQxX0kwqaVLTkYXE0PmZ3ND8wFFx/MFfJw+53Qu/brxTgYrilewqmQV1wy5hlRbaqPHTB4wmRpPDfPz5gNQ4iwh2ZrM5QMvJ8YYwxvr3uiw+A929Yk+CFZ2Anx53pd8NvEzrjryKjaWb+SuZXfxzMpnuH7B9VS5q3j5pJeJNDTePliIw9EBJbUURdmuKMoGRVHWKoqyspH9iqIoLyuKkq0oynpFUYYdyPWEEEIIIUT349lRhLe09IDXca1ZS9269cTffDMxkya1Q2SdQ1EUbOPH4Vi6lJ333Is2NpaoieeEEle62FgMGRlUf/YZgZoazEOHdHHEQhz+squyidBHkGBuer5FZ7PoLDi84bcfBDD0zkCXEHwvjVVqBdS91TX1Sa2IU08hY86nGDMzUQzB6ghJanWcrqpaKJ82DYCYSy9FawvObkt+8AEyv5iHxmwm+f8ewG+3U/b8C5Q89jgFU66i7L+vYF+8mLwLLmTXv/6FccAAUp99BoDa5b83ea3uIq86jx4RPdBrg//d3HHsHVza/1IGxA4guyo7dJyqqkz6chK/F/9Ov5h+vHzSy8SZ43hqxVMszF8IgF7TvSqT1EAAT0EBtatXAaBLTOziiLqnZYXLgL0PeAB4/V7u+/E+Jn81madXPE28OZ4L+13Y5BrDk4bTN7ovc7PmAsFKrWRrMha9hYl9JrJ813LqfHUd+0YOQiuKVzDm4zFsrdgKBD9v2PQ2ekX2om9MX/5+7N9ZeNFCpp06jYGxA6nz1zE0YSi9o3p3ceRCdK72qNQ6UVXVo1VVHd7IvjOAfnv+91fg9Xa4nhBCCCGE6Ca8paXknnUW2ePGU9VCe6OWOL5fDDodkWed2U7RdR7b+PGgqni2byflP4+jjWz4JKZ52DA8eXkAmIYM7YoQhehWsiqz6BfT76CqirQZbNR6a9t0rqIoWEaNAtjv5wvsTWQBocSZotFg3tOCUDEYAElqdaTVpatDr30BX6dcM1BXh6ewkPibbiTpvntD2zUmUygJaup/BLFXXEHV7Nk4li5FGxPD7ldfZcfNt6C6XKQ+/RS99yQ/dSkpuNav75TYD2a51blkRu2tFj8943TuH3U/Y1PHkleVh9cfnE+XVZWFSnBe2d+G/o04cxzTT53O48c/zvLLlpNuS8ends73wsHAV1ZG9oSTyTn1NKrnzMXQuzeaPT97ROealzMv9LraXU2dr47bltzG17lfs9O5k4KaAu4efjcmnanJNRRFYUTyCLZVbsPr91LmKiPZmgzAiJQReANevs37tkHVUnfwy85f8AV8/D979xkYRbU2cPw/W5LsbnonnZAEkB56ERGkCYgUAcUCqKhYwIL9Bbl4letVLNcGqKioiIpIFyGAgHSQjklISEJ6b7ubrfN+WLMQEyAQIJTz+8Jm5syZM0uygXnmeZ6lyUsBR1CrmXezGv/eUClUdGvSjcltJwPQN7xvo6xVEBrT5S60ORz4WnZ0Dd0pSZK3JElNZFnOucznFQRBEARBEK4Dpd9/j2wyoQoKInf2bHS9eqK+iKdyZVmmYuMmdF06ozxPv5irkbZbN9z79MFz8CA8+vSptV/XrStlP/+MMsAf12bXRllFQbhWybJMUkkSQ6KHNPZSatCpdbUytSx2CwWGgrOWf6pxfLeulK9cidLHp9a+oqoi5+tyc3mt/dU3lmWT6UKXLdTTjuwdztf5hvx6/Z02lCkpCWw2XFu2POc4/yefoHzNGqwFBYT87wPMWVkotFq8hg5FUp2+7eQSHo4lK+tyL/uqdrLsJKllqQxrNqzWvjifOKyyldSyVJr7NichPQGAhLsSCNQ6/u0T5hFGmEcYABq15qrIZJFlmZLFi6k6dgzfe+/FrUWLSzZ3xcaNWAsK8Rk7hrIVK7Hm5BD06qtoWrfCtXnzS3Yeof4sdgu7c3fTRNeEHH0Of+b/ydfHvmZv7l5e6/4aI2JHYJft9ertFOEZgcFq4EjREWRkmugcPbc6BDrK287YPoNTFad4Kv6py3pNV5PqrNw1J9fwXKfnOFF6gn4RdffKvSX8Fp7p+Ayj4s6eEScI16uGBrVk4DdJkmRgnizL8/+xPxQ4dcbXmX9vE0EtQRAEQRAE4ZzsJhMl3y/BvU8f/J98grRRozHs3oPX0Au/kVzy9deYU1PxmzTxMqz08lO4uhL+6dmLHngOGYJrbCwu0dE1biAKgnDp5BvyOVF6gjx9HpWWSuJ84hp7STW4q91rlIICWHx8Mf/d+1++GvQV8UHn7gbgdccdKDw8cI2rfV3FxmLn6zOztqpV99Syi0ytyyJXn8vBgoN0CurE3ry9ZFdmNyiotXNAD6yxkfT6aPE5x1UdOw6A23mCWkp3d4Jn/4viL79C27077mfJnlGHhKDfsaPWdsP+/VgLC3Hv3RuF29kzO64HXx39CrVCzZ0xd9baV/2Z8uBvD2K326mwVNA5uLMzoPVPGqXmqshiKVm0iLw33gTAkpZO5DeLGjynvaqKvDlzKP1+CahUeI8cQdmKFbi1a4vvveMbPL9w8Y4UHkFv0fN4+8d5a89bPLnxSVSSijdvftP5sIdCql9hsEjPSAA2ZWwCcGYwerh40De8LxtPbWy00quNwWq3cqTwCDHeMZwoPcHS5KWUmkpp5t2szvFqhZqJra/N/9sIQkM1tPxgT1mW43GUGXxckqTe/9hfVy0Gua6JJEmaLEnSXkmS9hYUFDRwWYIgCIIgCMK1rnz1GmzFxfjefx9uzZsjublhPHTh/7HV795N3lv/xaP/bXiNuj6fZJSUStxatkTx941lQRAuLavdyn1r7uOR9Y8wY/sMANoFtGvkVdWkVWvRW/Q1tp0sd5QlfWPXG+c9XlKr8RwwwFniaE/uHjLKMwAorjpPUEtdXX7QcnGLvwa9vPVlliU3rCxufa09uRbAefMyR3/+54S3Z29nZcrKWttlWcYrowS/hAPnPF6/azeFH32EMsAfdWjoec/n0acPkV8uPGc5OHVoKNb8/BplKm2VejIefIisp6aSMXEStsqL6wt3LVj812KWJi9ldNxo/DX+tfZHe0czsdVE+ob3ZVizYTzf+Xk+6vfRWefTqBo/U8tuNlP4yafoevYk8PnnMezdS8kPPyDb7ciyjKNw04UxHj5C2l1jKP1+CZp27cBqpfSXXzAlJuI9YsRluArhQuzM3omExB3N7iDUPZQATQALBy28qOzlSA9HUGvjqY0ANYI37/d9n34R/Sgw3jj3iNPL0zFajUxoNYEgbRCfHvwUgBjvmEZemSBcfRr0GKcsy9l//5kvSdIyoAuw5YwhmUD4GV+HAdlnmWs+MB+gU6dOF/5bTxAEQRAEQbhuyLJM8aJFuMbGoO3eHUmScGvViqpDhy9oHktODllPP4NLRARN3nzzqup/IwjCtWNjxkay9dm82OVFOgV1wtfNlwBtQGMvqwZ3tXut8oPVN7wTSxKpslads7/JmYqMRTy6/lGaeTdjydAlNYJa/zwH3Hg9tUw2EytTV7L25FoiPCPoGNTxsp2r0lzJl0e/pHNwZ7oEdwEgrTztnMdY7VYeWf8I4AhC3tPyHue+wsLTxXRkux1JUftZ59KlS8mZ+RouEREE/XcOVtmKWlI3+FrUISEgy1jy8nAJD6fyjz/IevoZZKMRn/HjKVmyhIwHHyTis8+uyVLB57M1cyvNvJrxQucX6tyvkBQ80+mZes/npnKj3FC7HOiVVPrjj9hKSvCdMAFtfAfKf/2V3BkzKfluMQqNBtliIXzBfFR1lDWti2y1kjFpEgqNhvD581B6epI27m5y/28GSh8fvIYPv8xXJJzPjpwdtPJrhZerF8vvXI5aoa53ZtY/NXFvgkpSkV6eTrAuGA+Xmj/3kZ6R/J75O1a7tV7lDK91efo8AMI9wrmj2R0sOLwAEEEtQajLRWdqSZKkkyTJo/o1MAA48o9hK4D7JYduQJnopyUIgiAIgiCcj3HvXkzHj+Nz733OQJSmTRuqjh3Drtef52gw7N1Lyu1DSLl9CLLRSNiH/0Pp7n65ly0IwnXIbDPzycFPCHMPY1zzcTT3bX7VBbTAEdQyWAw1thUZT/fCyqjIqPdcSxKXYLabOV58nN8zf+dUxSlcla4oJWWdPbVOB7VujJ5a1TceZWSe+/05CgyXJpMgT5/H0aKjzq+zKrN46LeHKKkq4dmOz+KmcqNzcGeWJS/DZDv7e70ta5vz9dx9czlV7ghkHcg/wEfrZjn3GbNO1To2/733yHnlVXRduxK15HsmpMzirhV3XYrLQx3qKJloycrGkp1N1tPPYC8vx7VlS4JefYWw99+j6thxTj08GdluvyTnvJoUGAsI8whDqVBekvncVG6NUn4wbew4cmbMJGPyZPJmv45bmzboevZAodMR9f1iQt55G7teT1ViIqakJPJmz6733JbcXOwVFQQ89STuvXvjEhXl3Oc9aiQKjeYyXJFQX5XmSg4VHKJ7SHcAXJWuFx3QAlApVER4RgDUWWYzyjNiw3BxAAAgAElEQVQKq91KTuWNcSs5z+D43RKoDXSWKPV08awzs1MQbnQNKT8YBGyTJOkgsBtYLcvyr5IkPSpJ0qN/j1kDpAIngAXAlAatVhAEQRAEQbghlK/91dFk/o7TjdQ9Bw9CNpsp+PjjWuPtej2Vf/xB+Zo1FH/9NVnPPIslJwev4XcQ9eMPuDaruxa9IAjC+Xx97GtOlJ7gpa4vXbKb0ZeDVq2lylaFxX66BGBhVSHBumAAZynB+tiSuYUOgR0Icw/jk4OfcLToKM19muPt6l13+UEXRxbPjZKplavPBWB65+noLXqe/f1Z7PLFB2EqzBW8t+89hiwbwvjV4zlSeIQtmVsYs3IMGeUZvHfre7TybwXAo20fpcBYwNKkpVRZq2r1UQNYmrQUPzc/1o1ah1qh5vGNj1NkLOLTQ59yInnn6es4sqfGccYjRyn6dB5eI0eSPWsiz+97jcSSRFLKUhp0fdXUIY6gVu6//sWJ/gOQq6qI+HIhEZ9/hiRJePTrR+Azz2A8cABLVlaDz3e1yTfkX3BAPOvZ58h/970692lUGqpsV7b8oK1Sj/HgQUp/+AHj/j8JfOEFor79xpnxJykUeA0ZQrM1q4ndtBHvsWOp2JCAraLm50bRFwsp+vLLWuUJLZmZAKjDwgBQens793ncdtvlvDThHLZmbmVlykq2Zm3FJtvo1qTbJZt7eufpAM5M1DNV99w6X3bqtSqzIrPGz0B1qcUAbQARnhF0b9KddgHtRKUJQajDReduyrKcCtQqIi7L8qdnvJaBxy/2HIIgCIIgCMKNyZKbizo8vMYTuZp27fAaMYKSRd/g99BDNUrZ5L7+b8qWne5t4hIVRfi8T8/b3F4QBOFcZFlmadJSujbpSu+wf7aQvrq4qx3ZqAaLAS9XL8CRqdWtSTfWnFzjvCmYp89jecpyHmj1AK7K2n34ZFkmozyD26NvZ0TMCGZsn4GExJjmYyg3l1Nprl1+sLqf3w0T1DI4glo9Q3pitVt5e+/bZFVkEe4Zfp4jHQqNhaxPX09xVTEGi4EVKSsoNZUyJHoIe3P3MnP7TDLKM4j0jOTdW98l3OP0vJ2DOxMfGM/nRz4nuTSZdSfXsXbUWuffeZ4+jy1ZW5jYaiIh7iH8r+//eGzDYzz020NklGfQ64xEu9LdO2DwaKzFxVQdP07xwi9RuLuTPrEfT2x6CrP99N9nVmVWjXWAo9eai8IFd5f6ZUKrg4NRenlhqyjHb9JEvEePxiUyssYYTbu2AJhSUnAJr9/7eS2w2C0UVxUTqKmdjXLWY3JzKV+9GoDAp6fV2u+mdLviPbWsBY4gqsfAgQTP+D9Ufn51jpPUapReXngNHULJokVUrN+A90hHPyzZbif/rbec43zHj3ce98+g1pnc2ra9pNci1E9pVSlTEhw5Cjq1Do1KQ/vA9pds/l6hvVg/ej3ert619lUHtdLL07mZmy/ZOa8GCekJTNs8jdFxo3m568uoFWryDfl4u3o7fzd/0PeDRl6lIFy9rv+CpIIgCIIgCMI1x5qfjyqw9o0f3wkTKFu2jLJfluM3cQIA9qoqKtatw2PQIAKeeByllxdKf3/xVKMgCPVml+3kG/KdWU3V/sz/k8zKTB5r/1gjraz+dGodAHqLHi9XL6x2KyVVJUR4RhCgCSC9PB2DxcDjCY+TWJJIpGckA6MG1pqnzFRGhaWCcI9whjYbyvxD88mszOQmv5s4VnTsnOUH7TdKUOvvTK1gXbAz0FNuqX9vo7l757IydSUSEpIk0SW4C890fIaWfi357PBnvL//fQCe6/xcrUCSJEk81v4xHv7tYX5K+gmA7/76jsfaPUaBoYBnNjt6Mo2MHQlAp+BOfND3A55IeAL3UhN9DtmxA/tiJTp9v5aKm4dSvmYN5atWAWB6/B6e2vUCkV6RRHpEsiFjAwA/J/9MS9+WqBVqgnRBhHmEMXL5SAxWA4+2e5T7b7r/vD1vJBcXmiVsQOHmhqSqe6xrdDQA5pRU6NOn3u/p1a66FOiFZGpVB7QALHl5KH18ULi4YEpNBZsNjUpzxcsP2goLAfAZO+asAa0zubVtiyooCP22rc6gliXjdNaoYeeuGkEt86lMUCpRB5/+LI5c/B2y0Vhn/zfh8kvISHC+1lv09AztiYvS5ZKe45+/e6v5uvniofa4LjO11qatRa1Q81PST2SUZxAfFM+KlBWEeZwO6Na3D6Yg3IhEUEsQBEEQBEG46lgLCnCNi6u13a15HJoOHShdsgTfCQ9gSU/n5Nhx2A0GfMaOwTVGNFIWBOHCrUpdxWvbX+O30b/V6F3x1dGv8HDx4LaIq7/sVXVQq9LiyKQqqSpBRsbfzZ9or2gO5B/g5W0vk1yajEalYUvmljqDWqcqHH2WIjwiUCvUTGk/hVe2vUL7wPb8kfUHhwsP1zrmdE+tGyeo5ePqg5vKDQ8XD4A6M9jqYrAY2JCxgRExI5jZfSYKSVHjIYxbwm7h/f3v46Z0o0Nghzrn6BrclfYB7TlQcAA/Nz++Pf4tnYI68eLWF6kwV/DOLe84+9QAdA/pzv/6/o/K6TMI/7us3y/3NsX3k1TM0x5HjQrX8HBUs55jwsn/I1QXyoL+C/B186XSUkmPxT347PBnNdYQ4x1DUVURoe6hvLvvXX49+Sv/6vkvWvi2OOf1n6+/pdLbG6WfH6aTqecc1xhKq0rRqrUXdUO/ukxkXX2DzqZi0ybn6xO39AFAodViNxhQ+vvj9uHdmGwm7LK9QX2NLoS1wFEeTRVQv+CcJElou3RBv2MHlqwscmbMRP/HHwCoIyKoOn4cAHNGBvodO6nctAl1cHCNoKe2Q90/B8KVsT5jPREeEYxpPoa3975N9ybdr9i5JUki0jOS9PL0K3bOK8FkM7E1cyvDY4YTHxjPzO0z2Z27G7iwzwhBuJGJxxwEQRAEQRCEq4pss2EtLEQVWPcNE++xYzCnpWHYtZuylauwl5XhOWwY2i61a/ELgiDUx6GCQ1jsFpKKk5zbtmdtZ+OpjdzX8j60am0jrq5+qssPHsg/wB9Zf3Ck8AgA/hp/RjcfTVp5GgkZCUzvNJ0+4X3YlrWtzj5JGRWOLIrqoMiwZsNIuCuBaK9o4oPiydHnODOVqjmDWqYbJ6hVnVlwIUGtImMRr21/DaPVyB3N7kCpUNbKKo7xjiHSM5JuId3qLA8Jjhu9z3d+nv6R/fnvLf+lzFTGpHWTUEkqFg1exG2RtYOwPUJ7EGvxBUDXsyeLRv6Adc7zGLUqFGYLiY/15/XKH1BKSj657RP8NH6OPlcuHtzkdxMx3jH8NOwnvh/6PWPixmCymXixy4v8OupX5vaZS74hn3vX3EtWZcN7YakCAyn7aSnZr7zS4LkuFbtsZ/TK0byz953zjs2syOTRDY/SY3EPOi7qyMztM0kpTQGoETQ/5/mqqqg6eAiv0aOc2/yfehLvu0YDjowpnc0R+LmSJQgvNKgFoOvaBVthISlDhmLYvdu53WvYMCyZmRR/9RWpw+8kd+ZMTElJzs8T4eqQUppC+8D2DI0eyq3htzIoatAVPX+k1/UX1EorS8NgNdC1SVeGNRvG4iGLnQ+ZWG3WRl6dIFwbRKaWIAiCIAiCUIMsy41aus9WXAw2W53lBwE8Bw0i7805lP6wBHNmFpp27Qj971tXeJWCIFxPkkuSAThReoIeoT3YnrWdpzY9RZxPHPfddF8jr65+dC6OTK3ZO2fX2O6v9aeNfxtWhq0k2iua8S3Ho0xUsvbkWnZm78RX41sju6Y6UyvUPdS5rbpkWnUflT/z/2Rw08HO/VsLdhHCjZOplWfII0QXApwOJtZVlvFMK1JWMGf3HIxWI4+0fYSOQR3rHCdJEp8P+Py8ZafaBLRhbp+5AIyKHYXFbuHZTs/i6+Z71mMsmZl4jRpJk1mzkFQq7uw2karvbmHh50/xhf57qirMTI2fShP3JjWOWzR4ESqFypkN1Kp7qxr7+0f2p7Vfa4YsG8L8Q/OZ1WPWOdd+pmXJy1AqlNzR7A7nNvdbemM6fpyypT8T/OqrNfprNpbE4kTyDHlsSN/Ai11ePOu/k6x2K1M3TSW7Mpsh0UMw28wsP7GcZcmOvp/1zcIwHjyEbLHg0a8fSp0ObZcuePTrB4CmQweypj2NV57eMdZqvOjAu2y3Y8nMdGRH1SOYZC0oQFKrUXh51fscuu7dkdRqNO3b0+T12aTc1t9xHe3bAZD35hy03boROP05Ct5/H/eePS/qWoRLz2K3kG/IJ8Q9BD+NX6P0eIr0jGR16mqqrFXXTTm+MlMZAH5ujhKezX2bMzV+KuvS1qFRN/7nnSBcC0RQSxAEQRAEQXCylZWRft/96Hr0wJSSQsicN+vVM+FSsuQ7SvSozxLUUri54X3ncIq/+hoA/yefuGJrEwTh+iPLsjOolViSyNqTa3l126s09WrKggELcHc5d7m0q4VOpXO+Hhw1mG4h3dBb9LT2a41CUvBRv4+c+wM0jiDVIxseAeDwA6dLCmZVZhGoCazz5mFzn+ZoVVp25eyqEdRamLiIV7hxglqFxkLaBThuyDsztSxnz9QqrSplxh8zaOPfhlk9ZxHtFX3O+YN0QRe0ntd6vHbeMdaSEmwlJbjGxtYo7eYWHc2A6e/z8fI7kZAYGj201rH1KbfXxL0JY5uP5bu/vmNM8zG08mt13mNOlJxgxvYZADWCWgFPPIE2Pp5Tkx9Bv2sXHldBb61dObsAyDfmsz59PR0CO+Cn8atR9i+1LJUP//yQpJIk5vaZS/9IR/BmXItxvLb9NfIN+fi4+pz1HNaSEpTu7sh2O8VffAEKBdqOHfG49dYa41yaOr5/3LPLQA1VtgvP1DIePoJh104MBw5QuSEB/6eeJGDKlPMeZy0oQBlwYX1L1aGhxG7dgsLTE0mhIHbrFmSLBYWHB5p27XC/rR9+Dz6IpFAQMX/+BV+LcPnk6fOwy3ZnEL8xRHlGAZBenk5z3+aNto5LqczsCGp5ung6t4V7hPPBrR/QJqBNYy1LEK4pIqglCIIgCIIgOOW/MxdTUhKmJEcJLsOuXXjefnuD59Xv3EnV0WP4Tpxwzkbf5sxM8v79BsBZM7UAvMeOdQa1vO+8s8HrEwTh2nW08CibMzfzaNtHUSqUNfZ9dvgzMisyz3nTP8+QR4WlAnBk06xIWUEL3xYs6L8Abzfvy7n0S+rM4FvbgLaMjB151rH/LIFmtpmdgYsCQ4EzM+ufVAoVfSP6si5tHc93ft6ZHZJldjyMYDebLnjdptSTFH70EU3+/ToKt6vvKXyzzVwjS8lqt1JSVeJ8D529zOooP1hlrWL2ztmsSFkBwPOdnz9vQOtSkmWZ/Lf+C3Y7Sn/HAyqu0bXP38y7GcObDcdgNTjLKl6Mx9o/xq9pv/L+vveZP8ARnNietZ2lyUvpFdqLnTk76RjUkZGxI3l779t8e/xbwPF9dSZJpULbrRuSVkvZ0qW433JLo2WQy7KMTbaxLWsbgZpASkwlPPv7swCEuYexasQqAGZun8mKlBW4qdx4pO0jNfrw3eR3E98P/R6TzVTrM6pa/vvvUzRvPh79+2MrKsKwdy9BL7+M0tOz1liXplGgUKDLLoHIiys/WDjvUyo3JDi/Np84Ua/jrAUFF1R6sJrS+/Rn6ZnHRy35/oLnEq6cHH0OQK3szSup+jMzpTTl+glq/Z2p5eVaM+Px1ohb6xouCEIdRFBLEARBEARBAMCwbx+lP/yAR//bqEjYCHY75syG98Yw7N1LxkMPg9WKJTeXoJdfqvPmVPGib8h/5x3kKsfNmXPdNHGNjib8889wjYlBHXRhT7QLgnB9mXdoHptObcJsM/N0x6dr7Ht///vAuTNZvjn2DQCxPrEklyTzf93+j+Exw8/az+hqVR1cgfP37fnn/uTSZGdmTYGx4JxP5d8VdxerUlexLm0d/SP7sz9/PyU2R1CwvLKI+nUMOi3z7TmYN27B+4H70LVtd4FHX16yLHPHL3cwuOlgpsZPBaC4qhgZ2fkeqhQqtCqtMzBazWq38vTmp9mWtc25rZX/+bOXLpXSZb9gPHSQ0sU1gwauzZrVOf71Xq83+JyeLp4MbjqYHxJ/wGKzsCNnB9M2TUOlUPFb+m8ArDm5hk2nNrEtaxtj4saQa8hlT+6eWnMpXFzwn/wwBe+9T/mq1XgNq51BdjnIssy9a+6lpV9LOgZ15KujX3G06CgAU+OnMjBqIKmlqWw6tYmlyUvJqswiW5/N8pTljG0+lintp9RZAlIhKdCoTpcVsxuNoFSicHHBkpdP0fwFYLdTsW4dqNWEvPM2XkOG1LlGhYsL6vAw3NLzIdJRfvCCrtFsxrB9h/NrVWAgluycOsdaCwpQ+p/OzLJk5+AaG3tB5xOuXdU98hozUyvaKxqVQkViSSK30/AH7a4GZwtqCYJQfyKoJQiCIAiCcJ2RZZmKtWsxn8rE5567UXp4nP8Ys5mcmTNRhTQhZM4cUKs50a8f5rQ055yZj03BY+BAvEdcWGZU6dKfUeh0eA0dSsmiRSh0WgKnTasxRr99O3n//je6W3rjdccdGPftQ3WeYJXouSAIN7ZNGZuYd2gepaZSAH5K+olp8dPqDJpb7dZa2SAAv6X9xlfHvmJc83E81v4xMsoznH2jrjVa1emeOn6ac5eN/ef+40XHnUGtQmMhbQPanvXYDoEdiPaK5qfkn8iszGT+ofmgALsEpRUFF7TmqsQkzBu3AHDq1FFaXGVBrXJzOVmVWSz5awkPt3kYrVpLobEQqBkYdHdxZ/HxxRQYCpjQegJeLl68su0V9ufvZ0b3GezO2U20d3SNUnWXW85LLzlfR/34I7byMuzl5ahDQ89xVMO1D2jPomOL+OzIZyw4tIAY7xjm9Z/HgsML2Ju7l+PFx9mRvYMZ3WdwV9xdfHb4M7ZkbqmzX47f5MmULltG2YoVVyyodariFIcKD3Go8BBLEpcQ6RlJlGcUFruF8S3Ho1FpCPcIx8vVi6XJS0ktSyUhIwGdWsdznZ6rV88f48GDZEychN1gQBUYiOTqCjYbTVcsp/T77/EYMBBdt67nnEPbIR5zwnqkXvIFB7UM+/90nlvp74db8xbot2+vNS775Vco+/ln3Pv2JWTOm8g2G+a0NLxGjLig8wnXnuoM1ZxKR7CzIRmcDaVWqonxjiGxOLHR1nCplZnLcFG44Ka8+rKTBeFaIYJagiAIgiAI15nSJUvIfc3RpL3k228JnjkDVUAAWc8+R8QXn+MSHl5jvN1oJGfGTMwnUgj79BMUOsfT/q6RUZjT0wEwJSdTuXkzlZs349Y8DrebbqrXWmS7ncptW3Hv2YOgV19BNpso+nQeCp0Oj759MR44gOewYeT+azbqyAjCPvgAhavrWZ9OFgRBAPj2+Lf8Z/d/kJGd28rN5WRUZBDpGVlrfKGxEI1Kw1t73iLPkMeYuDHE+sQyY/sM2vq35fnOz6NWquvMsLhWnFnW7HxBLY1Kg7va3dkH6nDhYUbHjcZit1BcVezsuVUXSZIYHTeat/a8Rb4hv3ojFqUjU+tCHJ77GloJFDKYCvMv6Ngr4VTFKQAqLBWsObmG0XGj6wxqebp4km/I59e0X9mWtQ27bEchKXij1xsMazaMu+LuuqLrlq3WGl+7tW51xcr3VQeFPz7wMS19W7JgwAK8XL14vvPzyLLMp4c+JT4wnq5NHEEbb1dHWbpSUynBqpo3ziWFAo++/Sj+5htslZUo3S9/f7udOTsBGN5sOH0j+tInvA922Y7ZZq6RaRXt7SiJdrz4OBvSN9Avoh+qkgqy334Nc3o6kd8sqtG77ExZzz+P0scH30mTsGRnY8nKwqNvX9zi4gieMaNe63TvfTNlv/xCTLbygssPVm7dAmo1TX9ZhuTiSvHChVjz85HNZmwVFVhyc1E3aULZzz+jiY+ncssWTt51F94jRwGgje9wQecTri2ppamMWjkKm92GUlISoAmoV1+9y6m5T/MaWa/XunJTOV6uXo1WVlUQrgciqCUIgiAIgnANk+127Ho9Sg8PLHn5nHrkEUx//YWmXTuCXn6JnJmvkfn4E87xlVu24Dt+fI05Cj74H+WrVuH/+OM1mrGroyKp3Pw7AIadO53bc2f9i8jF39XojWVKPUnWtGl4jxqJz/33O7YlJWNKTsZWUIiud28kSSL4tdew6w0UvDOXgnfmAlCxcRPmtDTCP/sMheu1Ve5LEIQr62DBQRYeWUhCRgK3ht/KzpydGK1GBkYNZF3aOg4VHHIGtWT5dMAr35DPmpNrWJ26mhD3EKZvmU60VzQuChfe6fMOaqW6sS7psvBzO3dQCxxBmUpLJVGeUWzM2Mir3V6lyFjk3HcudzS7g/f2vUeuPte5zaKCCn1JvdeY99efaLf8ydaObtyytwpL0YUFxK6EzIpMwFEi6vu/vmdU7Ki6M7XUjmBL9ybdSSlNoalXU2b3nN1ofWjMGRnO19ru3a7ojdNAbSCxPrGoJJUzoFVNkiQea/dYjfE+rj7A30EtXTB22U5xVbHz/fXo15fihQvRb92K5+DBl23dicWJrDm5hr25e2mia8LsnrOd75tCUtTK9PR08SRAE8CXR77EYNEz8pCGlGm3Y690BIqNhw+j7VA7+GMtKsKSnkHgiy/gN2HCRa9X16MHKBR0SLVfcKaWfstWtB07ovJ1BPHVIU1AltHv2kXOjJnYCgsJeedtAAKeeBzJzY2sqdMoePddUKtxa9PmotctXB1+SvqJFr4taO3futa+rVlbsdqtPNj6QYxWI20CGv/vu7lvc5anLKfQWHje30/XgjJTmSg9KAgNdOVy3wVBEARBEIRLrmj+fJI6d+HEbf3JmDgR019/AeD38ENo2rWj6Y8/EPDMM0haR1mq0h9+JO8/b2HJz8dWqefUY1MoXrgQr+HDCXjyiRpzu0ZFYSssxFZZiX7nLtQRETT59+sYDx6sEeQCKFu2DFNSEnlvziH72WdJGTSIk8OHk/3cc7hER+PRrx8AklJJyH/mEPTyS/g+4Ah+VSYk4DFwIO69RDlBQRDO7b1975GQkcCDrR/k3T7v4uniCUCf8D5oVBoOFx52jjVYDc7X+/P2syRxCSNiR/DOLe9gl+2cKD3BI+0eadSySpdL9ftyLtU3Bh9s8yClplK2Z213BmzOlakFjiDPgKgBNbbJLmoM5cXnPe/mU5t5+LeHWTFzAhYlNHv2FcxKsBaf/9grrTpTa3KbySSWJHKg4IDzPTozG84u2wHoGdqTdaPX8dnAzxotoAVgSkoCIOLrrwj/9NMrfv5FgxexeMjiet209XZzZGqVVJUgyzKvbHuFwUsHO3vOaDp0QOnj4+j1eZlUmCuYumkqXxz5gmPFx3i47cP1CgRGe0VjsBqYvMUV7QffomnblqjvF4MkUb5yJbby8lrHmJJPAOAWF9egNSu9vVG0bkH7FJkqW/0ztSw5OZiSk3Hv3du5Td3E8b16asrj2EpLkS0Wir9YCIBrixZo4+Np+vNSdD174tm/Pwo3UTLtbLIrs53fu1cro9XIrB2zuHv13Vjsllr79+buJdIzkmkdp/FS15cYGn1lSn+eSwvfFgDXTQnCMnNZvX5PC4JwdiKoJQiCIAiCcI2yFhVRuWkz6vBw3Fq1QjabCXr5ZZqt+xWP224DQFKr8Z/8MM337kHbtSumxESKFy4kddBgMp94gspNm3CNi6sV0AJQh4UBYE5Px7B7N7quXfG8/XYkV1cqNm92jpNlmYr169F274Z7376Ur/0VdZMQgv81iyZvvEHUd9/W6OslqdX43n8/QS+9hNfIkSi0WoJeevHyvlmCIFzzLHYLRwqPcG/Le5nWcRpKhdIZfAlzD6NDYAe2Z293ZmiVVJ3OGvr44MeoJBWPtXuMFr4tCHUPRaVQMaTp9VnqtD435P01/rgqXRnSdAjert6sSl1FgcHREytAe+6gFsCEVhNoG9CWSa0n0T+yP6Ygb9xyS2pkyNVlWfIydmXvoMsxCxW3dqBNXC/KtWAvKa3fxV1BmZWZ+Ln5MTpuNB5qDxb/tZhCYyEeLh64Kk9nFlcHupp6Na2zd9uVZti3HxQKNG3bNkoGtE6tq1EO81zOzNSad2geq1JXUWWrYk/uHsDxMIz7rbdS+fvvVCUmUrFp0yVdqyzLvL7zdXL1uXzU7yPWj15f73KRw2OG08uzA/12GvEaMYLwzz9D0749rs2bU/LdYk6OvgtrSc3sRVNyMgCusbENXrumVw9icqEiL7Pex1Ru2Qo4yhdWU4eEAKDy96fpjz+g8PTEeOAASl9fZzaXKiCAiM8/I3TuOw1e9/UqV5/LyBUjGbx0MIuOLcJmtzX2kur0V/FfztdjV41lffp65+e2xW5hX94+OgV1aqzl1SnOxxEEPnPt1zKRqSUIDSeCWoIgCIIgCNcg46FDJPfshfHgQTwHDybs/feI2bAe3/vvwyWydj8ZSaFAoXH0gvC57z603bph2LkTj0GDiF6xvM7G8dXbKtavx15Zia57NxQaDdquXSj5ehH6XbsBMKekYE5Lw6N/f8Lef4/Y7X8Q+eVCfMaMwXvkCJTe3me9juBXXiZ65QrUwddfpoQgCJdWUkkSVbYq2gW0c2574+Y3GBY9jFZ+regX0Y/08nSSSx03jUtNp4MkRquRe2+6l0BtIJIkMTV+Kk/HP+3MErkRDWo6iPEtx6NWqhkYNZBNpzaRXu7oo1if8k7NfZvz7e3f8nTHp5nbZy5S0wia5FtrlCSsS64hl8GuHXGxyLTpMwp3tTvlWpBKr77shlMVpwj3CEer1jI8Zjjr09dzIP8AQdqgGuOcQS3Ppo2xzBoM+/+k5Ntv8Ro27JrIqKn+Gfz+r+/56MBH3N70drQqrbO3FThKENorKjg5/E4yH5uCJe/S9V9blbqKNSfX8Gi7R+kd1vuCSpsNazaM/7jfh2SX8R410kGxMooAACAASURBVBlMDnx6Gt53j8Oam0vWk09hN5udx5iSklB6e6P0b3gJtYBbBwJQuHlDvY+p3LoFVUgTXJo1c25TR0YS/NpMohZ/h2tMDF7DhgGgadu2wWu8UciyzKwds7DLdlr7t+atPW+x8OjCxl5WLUcKj/D10a8BmNJ+CrIs88zmZ3j4t4dJLknm3X3vUmGpoF9Ev0ZeaU1erl6E6EKun0wtEdQShAYTQS1BEARBEIQGkmUZu8Fw/oGXkPHQ6RJb2s6d63WM30MP4taqFQGPTyH844+IWvoTIf9+/azjq5/cLftlueM8XR1N3T0HOEpOZTzwADn/93+UrVwFgEe/fkhqNSofn3pfh0KnqzOgJgiCcKa/iv9i3KpxALQPbO/c3tSrKW/c/AZqpZq+EX2RkFifvh6omanl6eLJxNYTnV8PbjqY+1vdf4VWf+WsHbmW1SNW12tsv4h+PN3xaQCGRg/FZDPx5dEvcVe7X1TPEs+4m/CoguTUvecc53U4g8FL0gBwjYtDq9ZSrpWQSisv+JyXW3p5OhGeEQCMbT4Wq93K8eLj3Brah8yp0yhf9xsAvcMcpdxC3EMu2bntJhOypXZpsPMpXfoTCq2W4Bn/d8nWcjlVl+Dan7+f+MB4ZvecTefgzmzL2ubMHtH16IF0RoDuxC23UPDRRw0+d5W1in/v+jfxgfE83Obhi5pD/8cfKLRaNO1OB9vdb7mFJjNn0uSNNzDs3UvW1GnYTSYAjEeP4Bobe0n6nLm1uokqbw3ee5Kosp6/BKFsNmPYvgP3m3vXOL8kSfiMG+d8wCjolZeJ/PYbgmfOaPAabwS5+lzm7pvLtqxtTI2fyvwB8+kX0Y95B+eRVZlVY2yFueK82ayXmtFqZHfObib/Npm7V9/NhgxHEPSxdo/x47AfeaXrK/xV8hcjV4xk0bFF3N3ibm4Ou/k8s155cb5x/FVyfWRqlZvL8XIRQS1BaAgR1BIEQRAEQWgg/bY/SOreA2th4XnHWgsLyZr+PFWJSQ06pzktDQD3vn3Rdq5fiRBtp040XfqTM3NK06oVCp3urOOVvr5Ibm5Yc3NxjYtD5efoH+I1ahQxGxPwe+QRSn9aStG8ebi1a4s6KOiscwmCcP2rMFewO2f3ZZn7+7++B2Bk7Miz9sDy1/gTHxTPhnTHDbvqTK0p7afw5s1v3hD9K8I8wpxBmAvRLqAdoe6hFFUV0Su010WV0GvS2vGARc6xPWcdY7KZePqrUoL+cmTauMbEoJAUGN1VqMr1VB0/jjkz66zHX0l6i558Qz5NvRzZV1FeUXRv0h2AwVl+VKxbR97rjgdD3rz5TdaPXl/vknvnPO+OHZStWk3Kbf35q0M8KYNvJ/vlV7BX1SNoYbNRuWkz7r17n/P3+9XkzO+1//T+Dy5KF26LvI2syiz25+8HQKHRoOvp6LvpEhUFQOmSHxocHEgpS0Fv0XPvTfde9N+d8eAhNPHxSGp1rX1eQ4cQPHMGlZs3c2ryIxgPHMB07Djuffs2aN3VJIUCenamTYqNPRnbnduLv/kW49Gjtcabs7KwGwxoOrSvte+f82o7dnT22hLqllKawsO/PcyAnwbw5dEv6R/Zn7tb3A3Ai11eRJIk5uyagyzLvL3nbebuncvN39/MM5ufochYdEXWuCZ1DX2W9OHB3x4ksSSRafHTiA+M554W9wCOn79xLcax6s5V3H/T/UyNn8qLXa7OkuAtfFuQXp6O0Wps7KU0SL4hH6PVWK8yv4IgnF3jF3sWBEEQBEG4xpmSEpFNJszp6ajOUU5Gttko+mIh5StXUpGQQOzvm2v0mrqgc6acwK1tW8I/bviTymcjSRLqkBDMqanounertT3w6Wnouncjd9a/8Bl392VbhyAI14b/7P4Py1OW82KXFxnfcnyD5vop6Sd25+5mRMwI1Ao1CRkJ3N70dmb1mHXO4/pH9mfO7jmcLDtJcVUxAONbjr8hAloNIUkSQ6KHMP/QfG4Nv/Wi5vBu0YZCoDLp+FnH5OnzsCpAZXd8XV0W1+jhgu5wJSdHjETXsycRn392UWu4lNLK0gCIqdBh1+tR6HRM7zydfXn7cJmzDiugDHD8zndTuRGsurgyukVfLMRWXoZrsxjUYaFkTJzk3Oc5dCh2o5Gyn39G6eNN0PTpyBYL1vx8LPn5yCYTbq3boHR3BLCMBw9hKy7Gvd+lCZpcKZNaTyLaK9oZsB4QOYD/7P4PPyb9SMegjgD4jr8HrFbCPvwfpUuXkvvaLMypqbieUUbvQqWUpgAQ4x1zUcfLsowlPR1tp7M/XORz990odDqyX3qZtHF3g1qN1/A7Lup8dYkaehe5q7fw54al3Dy5L9aSEvJefx2PAQMI++D9GmOt+Y6eeaLkc8MtOLSATw5+grvancfaP8bQ6KGEe4Q79wfrgpnSbgrv7HuHyesnO8tperp4siVzC3cuv5N/9fgXt0Zc3OdtfdhlO7N2zKKZdzMeaPUAvcN6o1FpeLDNg7XGert5M73z9Mu2lkuhhU8L7LKdl7e+zICoAQxuOrixl3RREjISALg59OrLhhOEa4kIagmCIAiCIDSQNT+/xp91sev1pA67A0t2Nkpvb2ylpRj27sXj1ov7z6w5JdX51PLlVB3U0nbtVud+XbduNFu75rKvQxCEq9+eXEeGzgf7P2BU7CjcVPXr55OnzyOxJBGLzYJSoaR3WG/mHZpHrj6XtSfXOscNihp03rlui7iNObvnsCF9AxWWClSSCg/1xT08cKO5u8XdVFmrLvomqyooCLObEk5m1rnfYrPwy6HF9P87oBXw9NPOffnhHpi0JnTeAViyro5MrdSyVBR2maCn3iG7x07CPnifWJ9YYn1iSUr+EADLqUxkWb7oUnKmEyfIf+utOvdJWi1N/v06CldXcv7v/yhe+CXuvW8hd+ZMZ7Y2gKpJE2ISNiApFFRu2ggqFe43X1s3S6vLYFbTqrWMiB3Bt8e/ZXLbyUR7RaPr0QNdjx4AyN3jAShd+jNBzztuxOfqc5GQCNLVP2v8RMkJ1Ap1jWDEhbAVF2M3GHAJP/fxXnfcgdLbm9KflqLr3g2Vr+9Fna/OuXvczCkXJWzdjfywjGGvo/ynYdcuZLsdSaGg+JtvseRk49byJgBUASJDpCEO5B/ggz8/oF9EP17t9upZy7WOv2k8y1OWszNnJ23926JUKHngpgeI8orixa0v8sLWF9g0ZhM69emsyqzKLIqMRbQNaHg/szx9HgargTtj7mRg1MAGz9fY4nzjANiQsYENGRuu2aDWhvQNRHtFE+0d3dhLEYRrmghqCYIgCIIgNJC1wPHkqyUv76xjChcswJKdjfsttxD43LOkjhyFcd++iwpqWYuLsebn49rs8v9nSB0WCkplvUscCoJw40kvT+eR9Y+Qrc+mX0Q/EjIS2Jq1lf6R/et1/FObnuJY0THn17N7ziZPn8fY5mMZGDUQm2xDrVATHxh/3rmCdEG0DWjL+vT1+Lr5Eu0dfUl619wI/DX+DXpSX5IkjKF+eGYXYLKZcFW61tj/ycFP2LRlEf0B1//OxH/YOOe+E11C+KRXHLP2RFK29OeLXsPFKDAUsDR5KX9k/UGn4E5MaT+FSnMlnx/+nLBCoFJPxW+/YTx8BE2b1tiNRmxFRSj9/LAVFWErKbnoIEXpz8tApSImYQP28nJMKSkotFoK3nsf19hYFK6O9zDw+eep3LKVjAcecHw9/TlcY2MxHjpM4YcfYjpxAre4OCoSNqLr0hml57WfmfhQm4f4Oflnpv8+nXn95zkDBxabhTG7pzC1ZyQxX36J5+BB5Oz6na0rPuaXSXEsu/MX5xyyLGOTbWctp5lcmky0V3S9y21WZ+RXl3Y0p2cAoI44f1DMvXdv3Hv3rtd5LoTC1RV9xzhaHD7OydJUtHscDxfYysqoOnYcTetWlCxejDU3F/8pUwAR1GoIk83E7J2zCdQE8kavN9CqtWcdq1ao+bDfhySXJNM9pHuNz8RXur7CfWvvY13aOro36U6gNpASUwn3r72fMlMZ60atw0/j16C1niw/CeAsoXqtC3W/9nrw/vOhB1mWOVx4mBExIxpxVYJwfRA9tQRBEARBEBrIUp2plVd3ppYlO5vihV/iOXQo4fM+xTU2Fk3r1hj27L2o85V8txhwNCK/3PwmTSLs/fcuukyiIAjXN4PFwLRN08iqzEKlUPFsp2fxdfOtkWF1LkarkcTiREbHjWbJ0CVoVVo+OfAJMjIDowbSObgz3Zp0o2NQx3oHp/pH9Od48XH+yP6D1v6tG3J5wgVSRUcRUiQ7y7pVM9lMLE1eSstMRw+kwFYda+zXqXXoLXp2WZKw6/XY9fortuY5u+fw0YGPqLRU8tnhz3ho3UNM/306KWUp9CgPBEByc6Pg3XcBx+90wJk1ZE5LP+f8drO5zn5Ylrw8Sn/4AY++fVEHBeEaG4vnoEG49+5N5OLvaPL6bOdYpYcHYR+8j6RWo+vVC78HH8S9d29nGTvD3r2YTp7EnJqK+63XVunBs/F182Vun7mklaXxyYFPnNs3ndpEniGPN7vlogjwJ/vFlyhc+AVdkmRsiSecfbYO5B9g5IqR3Lvm3jrnt9gsHC86TjPv85cvtBYWUvjpp6QMHETW8y8AIJvNVB05AoBLRGRDL7dBggfdgW8lHPztO4p+W0t6AFiVkPPSSxiPHsWckoJdr8d48CCSmxuKM/5Nl1aWRq4+txFXf+2oNFfywpYXSCpJYmaPmecMaFULdQ+lT3ifWkH+dgHtiPKMYub2mQxYOoD5h+fz7OZnKTOVYbaZ+fLolw1eb3UJ1SjPqAbPdTVQSKdvYV8LJYVtdhvDfhnGB/s/cG7LM+RhtBqvm0CjIDQmEdQSBEEQBEFooOpMrX+WH5RlGVulnvx35gIQ+Mzp8jq6nj0xHjxIxoMPYTx8uN7nsuv1lCxahHvfvrjGxl6C1Z+bS0QEHrfddtnPIwjCtUeWZWZsn0FqWSrz+8/nj3F/EO4RzoDIAWzJ3EKlufK8cyQWJ2KTbfQK7cVNfjfRMagj2fps1Ar1RQekBjU9XaawlV+ri5pDuDhezdvgWwknTh2ssX116moijxRy30Y7UvNm6CJrZhq7u7hzquIU6yv3AY7fq7Is1yizd7kklyZza/itLBu+jDk3z+F48XF25e5ibPOx3CN3QeHuTsCTT6Lfvh39zl3O8oi6ntVBrXOvMX3c3Zy4rWbWoizL5P5rNrLVSuBzz9Y6RuHqiqRW19imadeO2O1/EPa/0zdI1WFhqIKCMO7dR+XGTQB49L18PXqutB4hPRgQNYC1J9dSZXUEBn9K+gkfVx8qXex8M9wTc0oKHkVGAPocsnOy7CT/3vlv7l97P6llqRwtOlrnZ9EPST9QVFXEsGbDzruO/P++TcF7jv5UlQkJnHrkUZK6dSfvjTeAv7PaG1HEwDuxKSDyrR+Q8gpZ2F/BG2MUVOVkkX5Gz1P9tm2oAgKcDwiYbWYm/DqBh397GLPN3FjLvyYkFicybvU4Np/azPRO0+kd1rCsO0mS+LT/pzzd8WlUkoqPD3zM/vz9zOoxi2HNhvHl0S/56uhXDTpHWnkaOrXurOURr0WLBi+itV9rKswVWOyWxl7OORUaC0kvT2fB4QXObPS08jQAoryiGm9hgnCdEEEtQRAEQRCEBpBl2dl423pG+cGKzZs59eBDJHXqRPnq1fhOmog6JMS532/ywwROn07V0aOk3TWG4m+/Jf+997BVnvvp9JIff8RWVob/5IcvzwUJgiDU09fHvmZd2jqmxk+le0h351PrQ6KHYLKZ2JCx4bxzVN/oqQ4+dQnuAsCTHZ5Eo9Jc1LqCdcHEeMc45vUXQa0rKbCVo0Rk3tHTmciyLPP10a8ZfVCDKjiYuB+WIimVNY7TqXUUVxVT5O5ouGXJz6dg7lxSBg2mKinpsq3XYrNwqvyU8/tlSPQQFt++mGfaPsULnV9APngMt9at8Rl/D6qgIArefRdzpqNnmK5LF1AqMaefPVPLUQLuGLbCQuwmk3N75caNVCYkEPDE47hERNR7vUoPDxSa0z8XkiSh69aNym3bKP/1V1xbtEAdeu2V6DqXETEjqLBUkJCRwKnyU+zI2cE9Le/hrd5vsbFJMes7KDCroDg2kHYnZYYvH86SxCXc0/Ie3ujlCDqdKD1Ra97Ffy0mPjCeniGn+5Ma9uxxlIT8B9PJk2jatyd221YUnp6YkpPxHOYIhklaLQoXl8t09fWj9PamrEUIGr2VVZ0lWtw2mpOxHvz4XEdUwcFIf3/P2A2GGqUHV6WuoqiqiLTyNJYkLmms5V+0MlMZJVUll2y+zac2U1xVXGt7rj6X+9beh9Fi5POBn3N/q/svyflC3UOZ1HoSH/X7CIB7W97LkOghvNbjNfpH9mfuvrnsy9t30fOnlaUR6Rl5XZXgbR/YnhGxI5CRKTbW/ru6muQaTmdAbsncAlx/2XOC0JhETy1BEARBEIQGsOv1yEbHE8KW/HxspaWUr/uN3JkzUfr44N6nD5b8PPwfeqjGcQoXF/wenIT32DGcHDmK/Lf+i2wy4dq0KV7Dh9d9LrOZ4oVfou3SBU379pf92gRBEM5mT+4e3t33Lv0j+zOx1cQa+9oFtCPMPYzVqau5M+bOc85zuPAwvm6+BGmDABjXYhzNfZvTrUm3Bq1vfv/5rE5dTUvflg2aR7gwmhhHBrEhOdG5bVvWNirSThCbZMP7iYnOPlFncle7A1Di7rj5Wvrjj5SvXAVA5cZNuMbGXpYbsxkVGVhlK029miLLMoadO1F++BHd/vyTrLYbMSUnEzR2LAo3N/wfn0LujJnYKiuRXFxQBQejDgs9a1BLlmWKv/nG+bUpKQlNmzYAlK9ejSowEN8JExp8DV53Dqds+XKqDh8mYOpTDZ7vatMpuBOh7qEsO7GMlNIUlJKSETEjCNIF0TGoI7MDZvF72hH+WzUU04ef426QeWf4PHqE9CCr0pFVl1SSRNuAts7yZWllaaSXp3Nvy3ud31eyzUb6fY5ghdfQIUhnBKosGRl4DByIyt+fuD+2gUqFJEkEPj0NW3n5FX5H6nbTo9M5vuhjfJ8azLPxkwnQBDDv0DzGfv4V0XZfMh55BEt6BkpfH2RZ5osjX/C/P/9HS9+WVJgrOFhwkPu4r7Ev44KMWTmGbH02hx+of8WDsyk3l/Pkxidp6duSH4b9QIW5gnJzOaHuoWzJ3ILRauTb278l1ufSV0noEdqD5XcudwY61Ao1r/d8ncOFh5m7by7fDP4GSZJYnbqahIwEKswV9ArtxfiW42v0g9uft5+Wfi3RqDTYZTvHio/RN/z6KEd6purMs8KqQoJ0QY28mrM7s6zn4ULH92haeRoalcb5bx5BEC6eyNQSBEEQBEFogOqSg8oAfywZGSR1607uzJlo4uOJ3fI74Z9+QvTPPzubiv+T0t0dTft2yH8/wW08dPb/mJevWIE1Lw+/yZMv/YUIgiDUg122k12ZzYd/fkiwLpjZPWfXCjZIksTt0bezO3c3BYaCOuex2q0YLAY2Zmzk5tCbnXO4qdzoHtK9wQGMAG0AE1pPqNGDQ7j81CEhWF2UtNmQRvqEiZhNRhYcXsCwoxpQKPAeParO46qz/JrHOoKZ5StXoWoeizE8gIL33mNHj3bkvjv3kq+3uvdXM+9mZD01lYyJk7BkZuI5dAjGAwcA8BxyOwDeI0agjojAnJKCS9OmSAoFLlFRZw1qFX+xkML/fYhLM0fPprJflmMtcWSVGP48gLZTRyRVw58z1nbtijokBFVIE3wnTWrwfFcbhaRgeMxwduXsYmXqSjoEdnDeyP5/9u47PKoye+D4907PTGYmmfSEVBICoXekSBVcCyog6i6sfXVXwd4W7K6rCyr6U9eOouiqCwiIoCIWEEILJYFAQkghJKROJpnMZOr9/TFLMIZOIJT38zw+Dnfufe8ZSJm5555zIvQRvDbmdf57649EDQi0g+tfG8Lg2EBryFhDoEL+2cxn+fe2Q3O5fi79GaBFC7m6L//b/Lj88cdxbNkCgK+hAV9dHZqEeAAktbr555MyJOSEKu1Op9CxlzL44yXc1u+vKBVKpmZMxag28lbBPDRJSUTcdRcAklbLs5nPMidrDmMSx/Du2HdJCUmh0FbYzq/gxMiyTFljYL7dU2ufotxefkrrFdsC38e5tbmU2cuYvHQyU76ZgizLZJZntqgAPh1SzCktfl/p1Xpu734726u28/z656lyVPFc5nNkVWRR21TL7E2zW3xNryhcwY0rbuT59YHqxKL6ImwuG70je5+2mNtLRFCg2rDaUd3OkRyeLMu8uOFF/r767wCMih9FdlU2H+34iK/3fk1qSOp5VT0nCO1FvMMXBEEQBEE4CbIsU/32O5T8rwIresYMLLfeQuSjjxD36qskvPtOq3kYR6LrktH8+EjztWSfj5p330OXkdE8x0MQBOF0avI2scfasm3Xsr3LGLdgHFmVWVyVehUG9eET9penXI5f9rO8cHmr55YWLGXIZ0N4adNLOLwOJqRNOC3xC2eepFTi7hBBTLUPR2Ym//jkVraXZzE6G4KHD0cdHX3Y48YkjOGmrjcxtuvVuFSAQc/im9JY2LEGALXTQ837HzTPsPQ7nbjy80853gJbIKkVVyvR8P33hE6ZQsfvviXuX/8ibs4rRD/7DKrQ0MBrU6uJefZZzBMnEPfySwBoEhNxFxcjy3KLdZ3Z2VS+8grGSy4hZcliAKzz51NwyVgq/jULb3k5Qb3a5mKzpFCQvPgrUr/99rBVcOeDqzpehYTEgcYDXBR7UavnJUkiqFs3UCh4RHdVi+0HW5rOz53fvD2rIoskUxKxwYGkV+38+Rx4+mk0KYFZb7bFS9j3lzsAcJeUAKCOjz89L+40MWvNTM2Yyg8lP/DU2qd4P3YPMW/8H28MqufLvC+5rftt/Ovif2HWmkkxp1BkK8Ln91FcX8zasrVAIFFysNrtIFmWuffHe1lRtOK0xl/pqDzqzKRKx6E5tgvyF/Be9nut9nH73MzaOIvn1z/P61teZ1XJqubnXD5Xi+/bg7OOAG5ecTOl9lKqndWUNJSwvnw9g2IGnfFExDVp13B9+vV8vvtz/rDwD9g9dmYPn82C8Qu4quNVvJf9HtuqtrHfvp9n1j2DVqll8Z7FPL/+ef6bF0jS9ozseUZjPhOaK7WcZ2dS67Utr/FJ7ie4/W7UCjVD4oZgdVmZvWk2GZYMnh78dHuHKAjnBdF+UBAEQRAE4SRYP/2UqldeAcB81VWYLr0U06WXntRauoz/JbUkCVduLn6Xq9WFqYbvV+IuLiZuzivi7j5BEM6I6aums658HetuWEewJtAe7uDFToBxieOOeGyKOYUuli7M2jSL+bnz+fyKzwnRhfBL6S888esTeGUvX+R9QaIp8by8k/xCZkjthLw30HbJu3k7swZMRlX3GSHXTT7iMV3CutAlrAsbD2zk0xEKhg+fzCcNn+EfKPFDTyWR3iCef8NO0T+foeOsOey7404cGzaQvn3bKc0z2l27m0RTIt5f1wNguemm5t+/h/udbhg4AMPAAc1/1iQmIjsceKuqUEdGAuCzN7L/gQdRRUQQ89yzSEolEffdh89qxV26j9oPPgAgqHfbfd0rjcY2W+tsFBscy8CYgWSWZx6xNalCr0c/cACNXy3Bf9c0FDodAK+MfIVPcz/lja1vUG4vJyY4hr22vc1t5Kpef4Pq118neNQo4l5+id3/Szb6Gxrw2Rvx7NsHgOYcS2oBTMmYwse5H7MgfwEAYf0e5OvSTB7u/zBTMw61Gkw2J+P2u3kn+x3m5sylydvEg/0eZNamWQyMGch7Yw8ljArrC/mh5Ad+KPmBSxIuQalQtjrvqVpdupq7friLYHUwg+MGM6nTJCw6C7Isk25JB2C3NdDi9IqUK/h679eUN7au1Pqu+Dvm7ZyHQW3A4XEgIzMxbSLXpF3DLStuQa1Uk2xK5g/Jf8DmtjUf1+ht5OnBT/Pk2ieZnzufenc9Q+KGtFr/dFMr1MwYNIOr065ursDqG9UXgEcGPMKGAxuYsWYGYbow/Pj55LJPeHf7uyzMX4jL58KsNZ+Xs5vCgsIAqHIevhL8dPlox0fEBsdySeIlR9zns12f8V72e6SGpLKnbg8ev4dxSeMoqCtgXNI4+kT1OYMRC8L5TSS1BEEQBEEQjoPf6UTSapEUCppyc6l84UUMw4Zh+fNU9H37ntLauq5d0XTsiHHkCGree5/6pUsJmTSpxT62RYtQxcZgvOTIH6QEQRDaitPrZF35OgDe3v42CaYELkm4hJzqHOKC47ih8w2khKQcdY3LUy4PtHJqLGNb1TZkZB76+SHSQtMIDwpn9f7VXJ16tUjUn2dMegsHLw9fnWfGUrIBf0wMwcOGHfPYMF0Yy/srWOtbikapIcXSmR01O3huxAss3XY/V32zklL3PTg2bADAs38/2uTkk451V+0uuoV3w75wFdq0NDQd4k7oeE1iEgDuoiLUkZHIfj8Hnn4aT2kpifM+Qmk2AxB+x6G2wY4tW2jKzkbXNeNwSwpHcEePOwjRhpARduS/t/A7/0rJjTdScttthN10E8EjR2LSmBiVMIo3tr7BkoIl3NztZkoaShiXNI6Gn36i+vXXMV99dSABqVKR+PE8HJs3UzXnVfaOvxJfrRUk6Zyr1AIwaozc2+dens18FoDZm2bTLawbU7pMabFfsjnwPfTm1jfpE9mHrMosZm2ahUahYX35ev6z6z+M7zgevVrPpgObmo+btmoa16Vfx5C4IS1mO50oWZZ5a9tbZFVm8eiAR5n560w6hnSke3h3fi79mR9LfkSr1NLgaWBKlyn0j+7PwvyFAPx94N/x+r3kVOe0WndB3gLijfF8fc3X+GU/r2W9xryd81iQvwCFpOCalGvYWrmV2Ztm0zOixFC6IQAAIABJREFUJ1H6KC5NupTxqeNJNiXzj8x/8Nmuz1ApVAyNHXrSr+9UdQ3ryvzL5iPLcvPvS6PGyLNDnuW2726juL6YJy96ks6Wzrw04iUcHgfrytdh0pjOyxa8GqUGvUqPzWU79s5tRJZlZm+aDcDmKZvRKFveTOHyuXh23bMsKVjCiPgRPDHoCUZ9GZhnZtaaeWzgY2csVkG4UIikliAIgiAIwlHIXi/V/36L6rfeQh0Xhzo2FkdmJqrISGL/9WJzW6JToQw20HHZ18iyTOOGjVS9+Samyy9HERQEBOY52NeuxTJlCpKy7e+IFQRB+C2Pz8OTa59s/vOHOz4E4PnM5/HKXu7vez83dr3xmOtc1TEwB2f1/tXcvepuABJNifx7zL/Js+aRZ81jfMfxp+U1CO3H9IdLsX31FQXdQumYU4svQkHUw48c1++vg3fg21w2bu9+O+mWdObtnMfw+OGsuXUCn+gXMuX7Qy3EPPvLTjqpZa3eT+raffQaNxrHxmVE3DP9hNfQJCUC4C4uxjBgAJUv/ov6pUsJnz4Nfb9+hz1G37s3+jas0rpQ9IvuR7/ow/+dHmQYOICoGTOo+eADSu+ehjo2loh7ppM2fjwjOozg9a2vU+moJLTOR8Z+BRWv/RNNx47EPPN083wzff/+BPXujSt/D7LbhTo2lqBevVAGB5+Jl9nmJqdPZlKnSfT9uC9e2csTFz3R6kaC9NB0uoV14+IOF/OXHn9h1qZZZFdn8/RFT/P3NX/nH+v/wSubX+HS5EvJLMvEorNwbadr+TLvS+5edTedQjvxn8v/g1p5fG23f8vtc/PE2idYtncZGoWGqcun0uBu4LEBj3Fp8qVsrtjMTStuwu13Y9FZ+CT3Ez7J/QSVpGJs4liMGiPJ5mS+LfoWl89FpaMSh8dBvDGeTRWbuKPHHSgkBQpJwf397ifZnMwTa58gw5LBzEEzKa4v5opFV7C1aivD4obxYP8Hm2PrHNaZ7VXbGRg9sLlauT39/t9tYMxApvWexu7a3S3a+OrVekYnjD7T4Z1RwepgHF7HGTtfTVNN8+MVRStIMiXh8XtQKVQkm5NZlL+IxQWLuaHzDdzX9z6CVEGkhqQyrMOxb+YQBOHkiKSWIAiCIAjCEbiLi9n/8MM0bduOcexY/A5H8+D42Nmz2iSh9VuSJBH5wAOU3Hgj1W+/TeS99+KtrqZ02nTweDCNG9um5xMEQTiclza/xPLC5UzvPZ3XtrwGwBMXPUFJfQmbKzYzJmHMca0TogvhzTFvMvrL0VQ6KhkVP4rnhj6HUWPkoqCLWHntytP5MoR2Ejx8OJ135NBZoUB2uZrbwB0Pk8aEWqEmSBXETd1uwqQxMS4p0OZyYtpEbuj7X4b1upa0BZtxFxTgKS096ThLXpvNXcv8eEpWg1KJecKJz3ZTx8QgqdV4/jdXy7ZkCcaxYwn/619POi7h1FimTiH0hutpWLWKmrfepnzm4wQPH85LI17ioZ8f4ou8L3h2sY+Y/f+HB4h79VWk37WwlFQq4l6a3T4v4DRQSAoWXrUQrVLbPEfst/RqPZ9d8Vnznx8d8Gjz48+v+JxtVdtYkL+A5YXLcXqdTEybyN297+aOnnewKH8Rz2Y+y1cFX3Ftp2tPKK5ZG2exvnw9u627md57OlqlllmbZgE0t6XtFdELi86Cw+Ng+YTlbKrYhEljorOlMzpV4GdLsjkZGZkHfnqANfvXoFfpeX/c+wCkhqa2OOfVqVdjdVkZ0WEEELjRont4d7Krs1vdZPH0RU+z/sB6hsSe+daDx+svPf5y7J3OQ3q1nkZP4xk7X5GtqPnx3Jy57Kk7NG+0X1Q/CuoKGBw7mL8P/Hvz9kVXLTpj8Qmnzu/2IakVonvAOUQktQRBEARBEA6jccMG9t3518CFjZdfwnTZZQD4bDY8Bw6gS08/Lec1DByA+aqrqHn/A8xXXknNu+/RlJND1BOPo+t5/g17FgTh7LKiaAXzc+czpcsUbu9xOw6vg5/2/cSktEkn/UG/wd0ABIbeGzXn9+wfIeBgVZZ0AgktCNzcManTJHpE9MCkMbV4rmtYVzqFduJDxW4+W7KYXb164dm//6Ti89ntsDSQVFVn5xM8ejTqqKgTXkdSKlEnJOAuLsZXXY3PakXfr6+4KNbOJJUK09ixqOPiKJo4ifpvvyP0usnMHjGbGWtmEOJcBvgBMI4e1b7BniEHWwyeKEmS6BXZi16RvXhswGPUNNUQawgkxtQKNdd2upav9nzFvB3zTuj3RKWjknk75wHwwrAXuDzlcorri5m1aRZxwXFEGQLfj0qFkrt63YXdY0ev1nNxh4tbrZViDrTCXVe2jh4RPdhSuYVfy34FIN7Ysm2kJEnc0u2WFtteG/UaXr+XaEN0i+2poamtkmLC2cGgNpzRpFZhfSEAepW+OaH10vCXWFywmLVla/H6ved9ddz5TJZlDszehKRSEDW9NwqdSJecC86/5qqCIAiCIAhtoHbePJQGAylLFjcntACUZvNpS2gdFPnwQyj0ekqn34Ptq6+w3HQTlj/+UVwkEwThtCq0FfLkr0/SK6IX9/e7H4B7+tzDoqsWndLPn5u73gzAoJhBbRKncH77+8C/c0XKFa22S5LEhLQJ7KjZwVPrn6Ei2E9jSeFJnSNv3ptonF6cEYEka+jkE6sw+S1NYiLuomKa8vIA0HbqdNJrCW1Ll5GBpmNHat59F09FBWqFmheHvUisNhJNUhJJ//1vc9tB4dj0aj3xxniUikOtRCVJ4urUqymqLyLPmtdi/80Vm3l09aMsym9dsbKzZicAH136EZenXA4Eqqa6WLowNK7l/KrJ6ZNbJaJ+K92SzpyRc1g2YRkzBs4A4Lui74DWSa3DCQ8Kb5XQEs5uBrUBh+fMtB+UZZmCugJ0Sh09IwI3GKoVasYkjqFnRE+8fi8AccEnNpPxfOVr9NDwcymy19/eoRyRu7QB2XcoPp/Njb/eja+2CcfminaMTDgRIqklCIIgCILwP46NG/FUVuI5cIDGNb8SPGY06ugz/yFXFRZG5AP34y4oQBkRTtgdd5zxGARBuPA8tfapQPun4bNQK058NsqR3NnzTrKmZDW3ihKEk3VFyhVoFBoW5i+kwixzoGD7Ca8he73Uf/IpeQkq4mY+QfDo0RiGDj32gUegSUzEXVKCa9duQCS1ziaSJBH7j+fw1tZSOfulwEa/H19lFcZLxxHUrWv7BnieGJ0wGoWk4LviQCLJ4/Pw8uaXuXnFzSzbu4xnMp9p0b4NAkkthaSgs6Vzi+2fXPZJi/aHJxJDtCGajiEd0Sq15NbmYtaaW1V8CucHvVqP3WM/bes3eZu498d7uXLRlQyYP4D5ufNJNic3t++MMcSgkBQtElkiqRXQtLMG2/JC7Jnl7R3KYfnqXVS+vhXrokMtJL1VhxKknipne4QlnASR1BIEQRAE4YInyzLVb71F8dQ/U3Td9ewZMRK5qQnjyJHtFlPIpElYbr6ZuBdfRBlsaLc4BEG4MORZ88iqzOLW7re2+R3rkiShVrZdkky4cJm1ZsYkBma67QsHfVElfseJ3a2/+Ys3MdW64PrxRI27gvg3Xm9ul3gyNElJyC4X9l9+QRkRjspiOem1hLYX1KsXpksuwf7LL8heL96qKvD5UEfHtHdo542woDD6RfXju6LvKLIVMWX5FObmzGVSp0l8M+EbtEot72a/2+KYnTU7STYlo1frW2zXKDWoFCdfPadSqEgPDXRUCNGGnPQ6wtktWB18WtsPbqvaxg8lPxBjiGFy+mQe6f8Izw99vrktZkxw4OfHwUSWhHTYeXUXIl+9G4CGVSX4m7ztHE1rPrsHAOe2quZt3srA+whlqLb5sXD2E0ktQRAEQRAuOLLfT/W//4173z5kn4+KZ5+las6raDO64C0vR6HXE/bXOzFcdFG7xSgpFEQ98jCGwYPbLQZBEC4Mdredlza9hFqhZnzH8e0djiAc1U1db6JfVD9Cx4xF44XaX348ruPqFiyg+q23qJ03jyqLikunzGyTeLQdA/N8HBs3oksTVVpno+ARw/HbbDg2bcZTFqgeUMeKpFZbGps4lqL6Iq786kr22/czZ8QcnrjoCeKN8VyWfBnfFX3XPF+xwd3ApopN9Iw8PbNi/9brbwAkm05ujphw9jvd7Qezq7MBmDV8Fg/1f4gpGVNIDU0lWh+46efgXLmDiawIfQQapea0xXMu8dW7QCnhd3hp+Km0vcNpxe8IJNpkz6H2g55qJ5JOiTbZLCq1ziEiqSUIgiAIwgXH/uOPVL36GlVzXqV27lysn35G2G23kvzll0TNnEnykiVE3nMPklpUFgjChaa4vpjrvr6u1WyQ89krm19hffl6Hu7/MKG60PYORxCOqktYF+ZeOpfYoWOw66D622XHPKZx7VrKH3+Cmvc/IK64kfph3dFqgtokHk3HjoEHfr9oPXiWMgwZgsJoZN8dd1D16qsAqGNEUqstjU4c3fz4v1f+t8WfJ6ZNpMnXxKOrH6XeXc+XeV/S6GnkuvTrTkssQ+KGsGD8Ap4c/ORpWV9of3q1HqvLytD/DGVf/b42Xz+nOocEYwJmrbnF9t9XaoUHhaNWqOkQ3KHNYzhX+erdqCP0BPWKwP7rfnw2F7Is461xIstye4eH3+k59Njtw1vbhLvQhjpCjypSj7/BfdoqzPxOL0351rOygu1cJCZiCoIgCIJwwbHOnw+ApFZTt3ARQf36EvnggwBYpvypPUMTBKGdZZZlsrNmJ39c9kfW/XFdm86WOhuV28v5as9XXJN2Ddd3vr69wxGE45YQkszGBIm+23NabPc1NOB3OLF+9inuvYUo9HrsP/2ELPvxNzSgAKQObdcmShUaijI8HF91tUhqnaWUJhPJCxdQ/frr2JYsBUlCJZJabSo8KJyP//Ax8cZ4woLCWjzXNbwrMwfO5IUNL3DD1zdgdVm5KOYiMsIyTls8nULF9+L5zKAKtGa3uWzk1+UTb4pv0/Wzq7PpF9Wv1fZEUyISEsnmQBWgQlLQJazLaf1aPtf46t0ozRrMY5NwZldT9W42CqMad2E94bd1R5favm1BD1ZqAVS/l417XwNIEiHjO6I0BqrtPBUOtIltP4/PXVJP9dwdRPylB9oU87EPEI5KVGoJgiAIgnBBcW7bRuPadQDYV6/GvXcv5iuubOeoBEE4W5TaA61SXD4Xu2p2tXM0J2d9+Xru/+l+fH4fAG6fmxVFK/D4f3N3quzny7wvmbh0IpIkcVPXm9opWkE4OR2MHSiMllDtr8Jntzdv33fHnewZPpyat97GmZ1N44b11JtU/OfiQ5c/NPFte1e9NjU18P90cSH9bKWJjyf2xRdJWbKY+Lf+jTI4uL1DOu/0iuzVKqF10HWdr+ODSz/A4XXg9Dp5dMCjZzg64XwSrDn0/Wttsrbp2m6fm0pHJSnmlFbPxQXHsWD8AsYmjm3e9sG4D7i/3/1tGsO5zFfvQmHUoLLosEzq1JzQAvBWtf+8Kr8j8F5Y3zcKX72b4GEdiH6kP8GDYtAmm5DUChybK07LuQ+2NlRFtk2l+IVOJLUEQRAEQbigVL3+BsqQEAzDhuGrqQHAOHpUO0clCMLZori+uLndTFZlVjtHc3IW7VnE98Xfs8u6C5fPxb0/3stDPz/E1wVfA5BnzePmFTfzzLpn6GzpzJdXfkmiKbGdoxaEE2PWmqnsELhb37UrkID2Wq04swLft26Ngs9nDOTpB2O55U82dqfpm4/Vxye1aSy69E6gUqE92IpQOGtp09IIHj68vcO4IPWO7M2C8Qv4/IrPSQlpnTAQhOOlVx36eV7bVHvM/V0+Fw///DCFtsJj7lvvDiRgft968KC00DQU0qHL6Vql9ryv6j9esk/Gb/egNAUqnvS9I4m8oyexT18ESgmv1dXOEYK/0YukVmC5thMxjw4g5LJkVGYtlQ1NDJ7zCzs6BtOYVYF9XRmy13/sBU+At9qJpFOhMIivl7YgklqCIAiCIFwwHFu20Lh6NZZbb2m+q1oVHY0qIqKdIxME4WxRXF9M38i+xBvjyao4N5NaWyq2APBL6S/cs+oeVu9fjU6pY13ZOmZtnMXEJRMpsBXwzOBneH/s+81tdAThXONLCyRjm3bsAKDh228BWNdZ4uMR8H3NWtQKNTd2vZFrLr4DAK8CQjq07QX1sNtvJ+H991HodG26riCcbyw6i2gNKJwyg9rQ/Ph4klrZVdksL1rOk2uPPWet3nX0pJZwZH67G2RQmrUttiu0KlShOnx1TSe9tv3X/TQV1GHPLEP2+E4+RocHhV5NdqmNe/+zhZz9NgA+WVfMgfomvlF50cSbqFtcwIGXN+PYWonsb5tZYN4qB+qIICRJapP1LnRippYgCIIgCBeM6jfeRBkaiuWPf6RuwUIA1HFx7RyVIAjtRZZlVpWsYvX+1WiVWnpE9GBfwz6Gxw8nWBPMmv1r2jvEY3J4HGRVZhGsDqZHRA8qHZWUNZYB8ObWN5GQeGbwM6wrX8eKwhXIyFzb6Vqm955OiK595xoIwqkKjUvhQMQupFdfQxkWjm3JUmqjDXwxJYyvJyxDpTh0yePnkp9waMGmh3TD4VuknSxVeDiq8PA2XVMQBEE4vN8mtayuY7cfPJj4anA3IMsyr2S9AsD9fVu3DbS5A0kOk6btZyqd7xzbqwBQhba+wUMZosX3v0qtgxVQkur4am281U7qlu5tsS140MnNxvQ7vNTrFNz60UYqG1ws3lbG5L7xrMwNtBxUaJRE/Kk7TXlW6lcUUfuf3QSX2gm54tRvhvFUOdt9ptj5RCS1BEEQBEG4IDiysmhcs4bIhx5EYTCgMBoBUFlC2zkyQRDayzeF3/Do6kcxa824fW4+3fUpAMmmZEwaE0sKltDoaWxx8eRsUm4v5y/f/4Wi+iIAIoIiiDHEAHB5yuXsqtnF3b3vZkziGJQKJcsLl3Njxo080O8BcZeocF5IMCXw1HXw4dp0yh58EIDVo4PpG92vRUILIFwfwZ4wqNdLDNKK3/2CIAjnqhaVWs5jV2qV2QM3+zg8DubnzmduzlxCtaHc1+e+Vu+HRKXWyfHWOLEtL0SXEYb2MIkbZYiWpl21NO2po/Y/u9AkmAj/c8Zxrd34uxlXTfl1x53U8lY7UYbpmv+d/Q4PK3wuKhtczL9tIN/vrGDeuiIsBi0Wg4Z9tQ4kSSIo3YIuLZS6r/Zg/3U/+j6RaGJPfhajv8mLv96NKkJ/7J2F4yKSWoIgCIIgnPd8DQ2UPfoYqqgoQm+4AYCgHt0BCJl8XXuGJghCO9pSuQWj2shPk38CIN+aT4GtgDEJY/ipNLCttKGUdEs6De4GgtXBZ1UyaNamWVQ6KpkzYg4un4uVJSvZXrWdh/s/zNSMqS32vTLlSjqGdCTDknFWvQZBOBUJxgRqjeD/v6ewvLsI65LFrEiv5/aw1hfKwoPCuesaJUq1hikqMaRdEAThXKVVHmpvdzyVWvvt+wGocFQwa9MsTBoTVpeVmqYawoNaVtmKSq0T5znQSO3nuwGJ0Ks7Iilav89Uherw2z1Uv58NCommXTX47G6UwYH5W7IsU7+yBGWwmuCLAgkr2S/T8EspDT/tQ5cRhnFoLI0bK3DuqMHf5EWhO3pao6mgjup3szFdkohpdAIQqNT6rtFJRoyJIanhDEkN56bBSei1Smat2M0v+VXNx0sKCfOlSTRuPIAzp7o5qSXLMrWf70bfPZygrsdXpV3/QwkA2o4iWdpWRFJLEARBEITzXv03y/GUlJAw7yMU+sDdUdqOHem8cweSQowYFYQLjc1lY1XJKrKrs+kY0rG5oqNLWBe6hHUBID44HghcCKlpquFvK//Ga6Ne4+IOF7db3L+117aXlcUrua37bYxOHA3AZSmXHXF/SZLoGtb1TIUnCGdEvDHwfVrqKGf4o4+Q+8cB1Pw4nYzDJLUsQRZqTQoi9RaR2BUEQTiHGTXG5sfHM1PrYFtmn+yjU2gnpvWexrRV08i35rdKaolKrRPTlGelet4O8Mroe0eiNGkPu586OvAZXN87EsPAGKr+vY3q93IIm9oFVVgQ9tX7afihBBQS2hQzSqOG2i/yaNpVS1CPcEInpqHQqkAh4dhWSdW72YTf1BWlUdPqXLLXT+XrW/AccABQ/30xzuxqtGkhFNoc7PC4eHTEoXmySeGByr94i56KehdNHh86tRIAhV6NOsqAe19D8/4+mwvn1ip8VleLpJav3oV10R4MA2MI6mxp3te6pICmHTUYBkSjTRDJ0rYiklqCIAiCIJz3nNnbUYaEoO/fv8V2kdAShAuL3W3n49yP+XjHxzR4Ah9OJ6ZNPOy+ccGBeXvbqraxeM9ifLKPrIqssyaptbp0NTIy16WLalPhwpVgCtx5XdIQuAM6t3YXEhLpoemt9lUr1ITqQgnVidaDgiAI57IOxg7898r/srRgKfN3zUeW5aPerFBmL6NnRE/iguO4p8896FSBmU/51nwuir2oxb717kBSK1h98q3mzmeyX6Zu8R4M/aPxO71Uz9uJOkJP6IQ0VFFHbq2nywgj+sF+qMKDkGWZoO7hOLOrafilFF1nS6B1YRcL7uJ6qj/cAX7w2d2EXNURdb8oUAY+t2uTzIT9uSu183OpfGsbEbd0QxUWhOyX8dW5AlVgu2ubE1rqGAP6XhE07bZiX1vGEsmDSpKY0Kf1XO0ESyD+UquT1MhD//6aBCOO7dXIfhlJITUnuNwl9fjqXShNWvwuH1XvZuOtciL7ZHSdQmlcX45tRRGyT8Z0aRLGYWKWd1sSSS1BEARBEM57Tdk56Lp1E3dmC8IFbG3ZWh7+5WFsLhsj40eSU51DlbOKFPPhBz+btWaC1cHMzZmLRqkhIiiC3dbdZzjqI9tRvYNoQzRRhqj2DkUQ2k2oNhSz1syqklX8sfMf2Vmzk2RzMnr14S+sRemjsARZznCUgiAIQltLt6STWZ6J1+/F7rG3qN76vf32/UxMm8gjAx5p3hamC2NP3Z5W+9pcNowaI0qF8rTEfa7zWZtoXH+AxvUHQKVAHR5E+G3dURrUADR5fGhVilafuyVJQhUe1Pw47E9dqPk0N7DW5krUscFYbuiMt8JB7X92oTBpCJvSBVVcMNe+vY5grYp7x6Qx9f0NfHBTf3re3p3quTuwfrWHkCtSqJ67I5DU+h+lRQcSNAyJIbJvNMbh8VRaHXzz2hrGdoki0qhr9dq6xASqqBZmlfLwpZ2bt2vijTRuOMD+v68heHAsfqcXJEAG544agi+KpW5JAd5qJwqDGm+Vg8Z1ZdQt3Ys2LYTQq1NRhYm2x21NJLUEQRAEQTiv+Z1OXHv2EDxqZHuHIghCO3o/+330Kj1vj3mbruFdeS7zOT7f/TnRhujD7i9JEnHBcey27uahfg+xrWob68vXt1k8Hr8HhydwF+nJtLjJqcmhW1i3NotHEM5FkiRxX5/7eGrdU7y1/S121uxkQMyAI+7/5OAn0SlbX8gSBEEQzj0HK2+tTdYjJrWcXidOr5OwoLAW22MMMVQ6KlvtX++uF/O0jsJb29T8WB0eRPjthxJar67MZ84PeaRHGXn3z/2Itxy5cgtA3ysS5/ZqFFol4X/OQKFRook3Ev3Qoe4q3+44wObiwNy0n/MC865e/n43n90+CEOfSOzryqj5JBfZ4yfk6lQkpYTs9aNNMZNZ72Dq+xsYsNlCmEHDjrJ6nB4f943pdNh40qONTOzTgXd+2cuVPWObk1y6LhZ0GWFICrBnloNfRhNvxO/y4syuRhGkwrG5AuOoeBRaFbblhdi+K0aTaCL8lkM31vr9Msuyy7miR4y42bYNiKSWIAiCIAjnNVfBXvD50HXu0t6hCILQTurd9WRVZHFj1xvpGh6YK3V/3/uJC45jZMKRE95/SP4DvSJ7MTl9Mk2+JpbuXYq1yXrK7cu+2vMVj//6OEmmJGqbapk9fHar9jdHU9dUx76GfUxIm3BKcQjC+WBC2gSyKrN4a9tbAIedp3WQmCsnCIJw/gjVBt6P1TbVNrej/T2bywZAiDak5bG6UKqd1Yfd/0Kfp+V3+0AGhbZ1tZq3JpDUMo6MJ3hoHAq9ih93VVJS6+CVlXmM7hzJhqJabvlwIwv+NhiTTt3ieFmWeXLJDmQZ1hfW8OAlHRgzLAmFpvW5ZFnmtR/ySQrTkxFr4qfdVfRNDGV1fjX3fb6VmV3i4FfwVjkJm9KFoG7heH1+tu6r4/VvdvDT7kASLLe8nkijlsQwPY/9oTNpUUeu6ptxeRd+2l3JIwu2s/Cvg/HLMHNFLn+5NIXUSCPeOheNG8rRJJhwl9TTsGofrkIbmkQTptGJuIoCX2+yy0fwkNgWyat/Ls/l3dWFGLRKRnUWnRZOlUhqCYIgCMI5omHlSlTRMQR1ExdkToS/PvDGUmURMzQE4UK0u3Y3edY8vLKXEfEjmrfr1Xpu7nbzUY+9tfutzY9TQ1IBKKgroF90v1OKaVH+IgCK6ouICIrgzpV38kDfB5iaMfW47tx8fevrSEgMiR1ySnEIwvlAkiRmDppJbm0u+db8oya1BEEQhPPHwXaytU21R9ynzlUHHD6plV+X32JbjbOGzPJM+kT1aeNIzx0+u5uqt7bjq3dhHpeEu6wR87hElCYtAN4aJ6gkTJckkl9l5+nPdvDrnprm41+5vhc5pTb+/MEG7pqfxW3DUvB4/YzsHIlSIbF0eznz1hU377+wrI6xh0loAazaVcmOsnr+NakHk/vFB+Lzy7zx4x7mrMxj2746ZiIxDxehOfuo3bCXrGIrdpcXtTLwfvqmwUk8Nf74r59YDBqeGt+VaZ9t4f01hfSMD+GLTaVs22fj2/suRhWixTw2iU8yi+mTEEyoRYekVmC5Ph1JKaFNMBLULQxNspntwQp+XJ7L6rxqwo1afsmr4saLEhmZHnnC/y5CayKpJQiVsXm5AAAgAElEQVSCIAhHcKyBs2dS44YNlN49DYC4OXMwXTqunSM6d/jqA4NcFcYj35ElCML5aXftbiYtnQQE2sx0D+9+0mvFBQeGO5c3lp9yXFXOwJ2jN3S+gXv63MOMNTOYtWkWqaGpDI4dfNRj15at5fPdnzM1YypdwkQFqiAABKmCeHXkq3yZ9yU9Inq0dziCIAjCGWDRBpJa1ibrEfc5mNT6ffWVRWfB2mRt8Zn/8V8fx+P3EKYLa7XOhcDv9lHz0U68dS7U4Trqlu4FQB0ZhHF4IKnkrWnCG6rjuW9y+XBtEQaNkkcu7czbvxRwbd8OmHRqBqeG8/yE7jz83+2szg9Uw00blcrNQ5J5askOenYwE2HUsjK3kjKb87CxHKzS6hAaxDW945q3KxUS00enMSDZwt2fbuFupQenzw9by+gSY+Lq3rEMSA5jWGo4q/dUMzI94rhe+57NlRgtOqKSTVzRI4Yl28p4+fs8JvQJnHtPlR2/X0ahkPhpdyUzv8qhW5yJpQ8Nbf768fj8XPH6r9w0JAmf38vMdzJRKyU6RgTzS14VaZHBzLg846y5xnSuE0ktQRAEQTgMn72RokmTCJ06Bcuf/tSusXj276d85uMozWYUZjNV//d/GMdegqRQtGtc5wq//X9JrWCR1BKEC80PJT80P57UadIpDf2OCY4BAsPGT8QXu78gszyTl0e8DBxqHXhvn3ubK8EeH/Q4P5T8QKGt8KhJrXp3PU/8+gTJ5mSm955+kq9EEM5P8cZ47u97f3uHIQiCIJwhB9tBn2yllsvnwul1olfrkWWZLZVbCNOFMb1P+73Hkn0yTXm1KAxqVKE6FMHqM5IEkf0ytZ/twl3aQNiUDBTBaqr+vQ1oOUcrv7KBZ+z17Pq1ghsGJPDg2HQsBg23DE1Cozx0fWJyv3jcXj8en59f99Tw0doitpfaaGjy8K9Jg0iPNvLP5bl8sKYQl9eHRqkgq6QOc5CanP02tu6rY1upjX9O6I5a2fq6x6CUMKaNSuXJJTswB6nZNHNMq/3G94w9rtfe1Ojh23dzALj6vt7EpYfy3NXdGPPyz3y2YR8QqBCb/p8tVNQ3sW2fDa1KQc7+er7cXNpcRfZDbiW7Kxp4bGE2KREGenYwM//2QRg0Sj7JLKaLMQiVQiS02opIagmCIAjCYdS8+y7uoiKcmzdDOyS1/I2N2JYtQ5uaxv577sHvchH/9lt4ysooe+BB7D//jHHkkefACIf4GuwAKI3B7RyJILQmyzIbD2ykpqmGJFOSqLxpY6tKVhFjiKFPVB8md5p8SmtplVoigiJ4Y+sbfFv0LS8Me4F0S/oxj1tcsJjtVdubZzTk1AQ+NP+2aixUF4pKoaLCUXHYNWRZZuavM1lSsASATy/7FJ1Kd0qvRxAEQRAE4VymU+nQq/RHTWrZmo4wU+s387j0aj37GvZh99h5sN+DzdX57cGxpQLrfw+1RVSatRhHxWMYEH3aklu+Rg91i/Jpyq0l5KqO6DIsfJN9gJSJHbGsPYCnrBEAe2kDf6uuQVYreGdqPy7JODQXSqtqfePYlEGJAPRNDGX86xX8nFfFvWPSSI8O3Gzas0MIHp/MqyvzWbOnmu2lNpQKCZ9fBuDqXrFM7NPhiHFf3SuOfy7PZWxG1GETX4d9rT4/G5cWkjE0FlN4EADle+qany/MriYuPZQok47HL8/g4QXbubxHDEatioVb9tMlxsRNQ5KY3K8DMxblMGNRNokWPXaXlzkr85rX2VvVyOxrexKsDaReruoUxccz1lHZs4LL/ioqytuCSGoJgiAIwu+4S0upnTs38Hhf6Rk/vyzLlD/xJPXLlgGgiooi8ZOP0XXqhNytGxVhYdQtWCCSWsfJ33CwUksktYSzz1vb3+LNrW8CEKWPYuW1K9s5ovPHfvt+dlt382C/B7mx641tsmZscCxVzir21O1h6vKpvDDsBUYljDri/k6vk53VOwHYUb2DwXGDya7ORkJqMfdHISmIDIqk0lHZag1ZlpmTNYclBUvICMvg+vTr6R5x8m0UBUEQBEEQzhehulCsrmO3H/x9UsuiO9S6sIOxAztqdgDQNbx951c7tlWhtOgIGd8RX40TR3Y1dYv2ABA8MKbNz+dv8lLxymb8jR7Mlyej6hfFnZ9s5tsdFZiD1Aw2BHFzlYz22yKWbdiHFZkPJvVk1G8SWsfSo0MIy6YPZXV+NbcMSW7ePiwtnM7RRt78qYCUcANPXJHB4q37uahjOH8d0RFzkPqo65r1ahbfNZRo0/Hf6FWwuZLNK4opL7ChN2uIiDdSVdKAUqUgNEZPVXFD877X9uvAgfomLu4UQa/4EP45oXuLxOI7U/tx5etruO6dTADCDBqmDErgk8wSgtTKFpViNfsDicHCbdXs320lLl3M+z5VIqklCIIgCL9TOWs2KJUEDx+Oc9u2M35+d0EB9cuWYbxkDLJfJnrG31HHBt4QSWo1IddcTc3cD3EVFqJNTj7GaoLP3oBCr0dSnnzbMUE4HaocVby3/T3GJIwh3hTP3Jy51DXVEaILOfbBwjH9WPIjACPj2+4GgGBNIDk+udNkdtbs5N4f72V6n+nc0PkGPtv1GTaXjQf6PQCAx+dh1sZZeGUvADk1OQyOG0xOdQ4p5pTmtQ6K1B8+qbWscBkf5HzA5E6TmTlopujDLwiCIAiC8D8HZ2MdSZ2rDr1Kj1rZMkFysHXhwYRYTnUOWqWWjiEdj3o+z4FGVJF6pDZqI+d3egOJrBAtymA1rj11GEfEE9Q5kHQzXBRL5RtbacwsP+WkVo3dRYheg/I3sTu2VeG3ewi/rRtygonb521idX41yeEGCqsbWe70YEdFv58K+ELpIVKvZnj36BM+d9dYM11jW841M+rULLl7KHur7XSKNKJQSNwy9MSubxys+jpeW1cG2gmW5QeSnXs2Bd57x6WHEBptYPf6A8h+GUkhIUmB+V0H/f49uFmv5u2pfflgTSGXZEQxsnMkCkki0qhjQp84NKpD1WPW8kBSq/vwOCISxViEtiCSWoIgCILwG46NG2n49lvCp92NQqvF/vPPNKxcSfDo0aftQqJ73z7qPv+ckOuuQxMfj2NzFgCRDz6IJjGx1f6WG2/E+vkXHHjmGRI++OCIccleLygUF/zsLX+DHYVRvHEUzj7bq7bj9ru5pdst1LvrmZszl/y6fPpH92/v0M4Lq/atIjUklQRTQputWeOsAWBc0jge6v8QT/z6BK9mvcqrWa8273NHjzsI1gTzbfG3fJn3JRBIWC0pWEK0IZqc6hyGxQ1rtXakPpLd1t0AzFgzg/Xl6+kY0pF8az5dLF2YMWiGSGgJgiAIgiD8hkVnOWL7ZgCby9aqSgtaz+PaUbODdEs6asWRq4PcZXYqX9tC6KRO6PtEYv0yD1+jB8t16SgNR68q+i3X3joafi0DoGm3Fbx+JG3gBkylWYth0KHklaSQMPSJpG7pXtxldjSxJ9d9pKasgb6v/cLfhqXw8OWH2p07NlewI0TFcwu2oFEpKKwOtM27okcM9/xnC7sPNLC6xsFq2UtGhImHL01vkRQ7VRqVgs7RpjZb72jqq51UlTQQ1ymE/Xl1DJ6YSvrAaA7stREWZ6Asv46cn/eTt+EA6YOOL4HYJcbErGt7ttj220TYQdYDjehNGi6+4dity4Xjc9JXuSRJipck6UdJknIlSdohSdI9h9lnhCRJNkmStv7vvydOLVxBEARBOH1kn48D//wnqpgYwm65BXV84EJo6d3TaPju+9N23gNPPU3Ne+9TcNnlHHjuH9hXrUJpsaBOOPyFWFVEBJH334djXSb1X3992H0a128gb8hQ8vr1x7l162mL/VzgtzegEPO0hLPQXtteAFJCUkgLDXz4ybPmHe2Qc16hrZBn1j2Dx+9p87X9sr/5cV1THZsrNh+1NeDJeHTAowyJHUKvyF7oVDpevPhFXhv5GtN6T2NKlykAze1rNh3YBMDKSSt5pP8juH1uZqyZQW1TLd3Cu7Va+2Cl1sYDG1lSsIS44DisTVa8fi8P9X8IhXRh36AgCIIgCILwe6G60KPO1Kpz1WHWmltt/237QZ/fx86anXQLa/3+7Lec26sBaMqrxfb1XhxbKnHtqaNuScFxxSrLMl5rE1Xv5eAursezrwFD30gs16cju3wgQ8RfeqAya1scF9QrEkmnxPZNIbIsH9e5WpzXL7PincCNs4vWlzRv91Q6eLOkinvqrdQ3eSm1Onntht5M6tsBnVrJ21P7sfiuoTz6h858M30Y39wzjBHpkSd8/rPFvtzA18nFN6Rz7WP96DUmHr1JQ0qvCMwRehK7hWOKCGLlh7lsXlF01LXqq53s21WLz+M/6n4HWQ84CI3Rn+pLEH7jVCq1vMADsixnSZJkBDZLkvS9LMs7f7ffalmWrziF8wiCIAjCGVH/zXJcO3OJfWk2iqAg1B0ODYhtysnGNG5sm5+zce1aGn/9lbDbb8dns2H97DPw+TAMHXrUO/JDJk+mbtFXVLzwIqrwcDxl5RjHjUMZbKD+m28oe+RRFCYTPpsN5/btBPXq1WYx++yNlD/2KIYhQwi9/vrD7tO0axcHnnwKw9Ch6Lp1RZvWCXVcbLtUGfga7CiDRaWWcPbZa9tLlD4Kg9qAXqXHrDWTb80/9oHnsGmrplFcX8w1qde06VyobVXbmPbDNO7tey9DYofw474f8ct+RsW3bVKrb1Rf+l7St/nPkiQxMmEkIxNGYnPZ+CT3E7KrsxkYM5DNFZsZ3mE4UYYoxhrGckniJWyv3s7GAxu5IqX1x6MofRROr5P3st/DorPw9iVvo1Md/4wAQRAEQRCEC02oLhRrkxVZlg/7WfNIlVp6lZ7IoEjW7F/DxR0uxul1HnWelizLOLOrAHDm1IBfJnhoHLLXT2NmOdUuH9pkM0Fdw1CFB7U63t/kpfrDHbiL6gGIvLsXqpBD7/N8DW5UEXpUltbv/ZQGNeZxSdQtLsC6IJ/Qa1KRlC1vdvK7fTg2HsCxrQpdRhimEfHNz7lLG9jY5AJA6/bja3CjCFZT+HMJH+Lm4qQwXpjck0ijFtXv1jXr1dw5/OgtGc8VxTk1BIdqCY3WH/ZrRW/S8KenBrLyw1wyv9qLSq2k5+j4VvvV7Lfz5Qub8Hn8xKSaueKunmiCVPj9MsU5NUTEGwkODSQmPW4fW78voXqfnS5D2n4m2oXspJNasiyXA+X/e9wgSVIuEAf8PqklCIIgCOcE66efoklKwnTZZQBoU1PRDxqEIzMTR9aWox4r+3yBVn8nkLTx1tRQMXs2qtgYwu++C4VWS+gfb+DA088Qcu21Rz1WUiqJeepJCidMpOTmWwBwZG1Gm5ZG5QsvEtS3L/FvvE7+xcPxVBy5HcOJ8judlN55J45Nm2jcsJHGteswXXYZPpsNx6ZNOLduRZOSjHPTZvyNjS1mkoX/7a9ETJ/eZrEcd8wNDSgtljN+XkE4lr22vaSYU4BAciQtJI38uvMrqfXChhfILMtkfOp4Lk++nOL6YiBQkdZWSa1KRyX3/XgfVpeVJ9c+2bw9Sh9FRlhGm5zjeJi1ZhJNiczbMY/vir6jqL6Ia9KuaX5ekiR6RvSkZ0TPwx4fZQgM3F5btpY/JP3hgk1oHbzQgtePpBazEAVBEAThXLGlxIrD7WNIavgZO6dFa8Hj92D32DFqWt/IaHPbiAuOa7VdkiRu7HojszbN4tPcTwGOWqnlOeDAW9OEJsGIu6SBoK5hmC9Lxl1UT2NmOU27amnaVYtteSGqMB2mSxIJ6hmBu6QBVXgQNfN24t7XgKRWENQ9vEVCC8A4rMNRX6dhUAy+BjcNq/bhs7kI+1MXPJUO1BF6GjceoOGXUvz2QCcEd0kD6kg9klpBnd1N5qb9/ERgxmspfooXBtomLikJtNV+/KquxIa0TsSdT/I3VVC4rZo+4xIOe82mrq4Og8GAWq1mzE1d8Hn9rPkyH79Ppq7SQY+RHbAecFC4vYri7Bo0OiX9J6ay+ot8Fr+6FZ1BRXWpHYfNTZBJw1X39MJW5WTNF/k01DaRkGGh28Wtvw6Fk9cmM7UkSUoCegPrD/P0RZIkbQPKgAdlWd5xhDX+AvwFIOEI7ZYEQRAE4XRp3LAB55YtRD78cPObHIVWS+KHc6l44UWsn36Kv7ERhcHQ6lifvZHiKVOQVCri5sxB0+HYb1Z8DQ3sHX8Vvpoa4ua8gkIbuJNH17kzSZ99elwx6zIyiHvlZfwOB43r12NbsBAA49ixxM76FwqtFlVkJN6KyuP9azgqv9tN6d3TcGzeTPCIEdh/+omG776j4bvvAFCGhxPUqyfOjZvwNzYS9dijmK+5BteePZTPfBzHlqMnBk86LqeTmvc/wDBwAPr+rWcR+ewNaBLFewvh7OLyuSi0FTIhbULztrTQNBbvWXzEO03PBW6fm5c3v8zA6IFEGaKYnzufaEM0r2x+hVc2v9K838HZUafK5XNx74/3YvfYeXfsu/xQ/APJ5mQkSaJrWNcz/vd4a7db+bb4W1SSigRTApclX3bcx/52llrvqN6nI7zTzlVkw55Zjr5XZPOA8+Ml+2Vs3xRiX7MfZYgW2e0j4s6eqCNFqxZBEARBONt9ur6ExxfnoFEqyHxsNGa9miaPj6xiK5l7a1hfWEuV3cW0Ualc0/voCZwTYQk61EbwcEmtI7UfBJjYaSIvbX6JhfkL0av0JJpaz7M+yJldBRJYbuhM065aDP2ikBQSmiQT+r5RBHWxoI4x0LTbij2zjLplhUhqJTUf/6/2QxE4NqizBX4zk6rU6mDJtjKSwgxc1v3wlTxOtw+dWoF5bBIqiw7rwj1UzMnCV+dCoVfhd3jRpoVgGpWAJt5IxWtZZH2czQzZSRGB9niRSiV3Dk3irZ8LGJVb3Lx2xwgDaVHnd1eT6tIGVs3LJTrFzIArU1o973a7mTNnDh06dOC2225DoVQw9tauLH8rm7UL9wCQu7Yc2S+jM6hJ6hFOz1HxRCQYUaoUrPuqAL9PS4fOocSkmNn0TRFf/nMTPq8fS6yBax7oTWxa6Jl+2ee9U05qSZIUDCwA7pVluf53T2cBibIs2yVJugz4Cmg9LQ2QZfkd4B2Afv36nXiDUEEQBEE4SQ0rV1I+YyaaxERCrp3U6nnj2LHUzptH6b33Ef/mG0jqQ0NgZVmmfOZMXHl5KPR69t1+O0lffI7S2PKNoez341i/Hn2/fqBUUvP++/hqakiY9xGGAQP+n70zD4yqOvv/597Z90wyk40khCwQQkLYNwURsO4L1n1ttWptbbW2b6v9vbXq20Vbq9Zq3RVXtCoqgiDKIorIDllIICE72ZfJ7Pv9/TEwmCZA2LW9n38I95y599yZO3fOPd/n+T5HPXbzuefG/r3gAvQTJiKoVFguuRhBEYtuV6akED5OmVrdzzyLZ9060v74BwynnUbN7DWohg3Ddscd6IqLUOfmIggC0WCQwK5daMeMQRBF9BMmoB0zBt+WLcdlHBGXi0B1DZ2PP471+uvofPzvBPfswfNFCdlvvzWgf9TlRpTtB2W+RdT31fOrz3+FL+xjetr0+PZ8az7esJcWT8ugEaXfBd7d/S5vVL7BG5VvkKJPwaqxsuiiRXT6OlnZsJIMUwYLqxayq+foRK2yzjJe3fkq61rWcWbmmXza8Cm+sI/HZz/OtLRpTEubdpzP6MiYnz+/X3bWkWDTHYhqHp/83RS1nCsbCVQ78O3oJPGqUehLhlZ3IRqI0PNWFf7KHjQ5FkIdXgB6391N8k+On32ujIyMjIyMzPGlsdvLy1/V8fK6eiZkJbC10cGZf1vDxePSWbixEX8oiihA0TALbn+YexeVMSHLyvCkgcGiR4NVExMLXq98nXlZ85iSduDZOhKN4Aw4DypqGVQGchNyqe6tpiSpBIV48AxxX0U3mhEWlFYtxunp8e2CKJB4+cj4/40zdKAQcLxfg+PDmCCCMtZHX2yP91tX08UTK6vZUBer82TUKDk934ZZq6LPG2LVrnZWVnagUyn4uKyVi8al89Mz8xg2MQVFgobu1ysRjSqi7hCaicnYLx9FKBLl14vKWOHook+KYFCI/HJKNkV2E5ML7TgkiQXr6pidYmZKUQqCWsGUEd8dRxNnt4+uRjfZJTZEcWiBa35PiGXPlKHRKTnntiIUShGHw8GaNWuYM2cOZrOZ6uqYU0ZzczO1tbXk5OSgUIqcc2sR696tobPJRXudk8KZ6Zxx9ah+xy48PZ3C09P7HTNlhIUv/rWb/EkpFM5MR6GQ6+KeCI5J1BIEQUVM0HpDkqRF/97+TZFLkqSPBUH4pyAINkmSuo7luDIyMjIyMseLiMvF3l/cjTo3l4y/Pz5AjALQTxhP6gP30/a7+2j57f8j7f7f0/q735F06614vv4a1/LlJP/ql2jHjqXxhzfR/tBDpP3f/yGIByYvvW+9RfuD/4e2sJBwVxfhjg6Mc+Yck6D1TUSNButVVw7YrkpJxlcRS5KOOBy0/O//YpgylcQbrj+i/Ufcbnpefx3TWWeR8P3vA5D10otoCwtRJPT3KBfVanTF/W3F1FlZOJcsIRoMIqrVR3TsbxKsr6d2/qVIPh8A3o0bUdhtmM45B9fy5dRddjmGmaejSkvDOHs2quRkoi4Xosl41MeUkTmerG9Zz12r70KtUPPU3KeYlTEr3pafEIv9qu6t/k6KWoFIgBfLXmSsfSwApZ2l3DvlXkxqEya1iZyxscjIbR3b+KDmA/oCfQddZPgmqxtX8/but/GFfGzt2IpRZUQQBBbvWUyyPpkHZzzI3OFzT+i5nSwWnLOAt6reil8L3yUiriCBGgfGmcMINjhxLK5FOzoJUX14C8HuNyoJVPeScHFufKHI+VkDzpWNRH1hRN1xMRiRkZGRkZGROY7sanNxwT++IBSRuHH6cH53QSG/fq+UdTVdvLyunqkjEvnxGblMzLZi1qpo6/Mz8y+reHNDI/eeN/q4jCFRGxNlFlYtZGHVQspuLIu3uYIuJKRBa2rtp9hWTHVv9SGtByOuIOF2L4Zzs4c0Jk22OfY6Z5DEawrQjbEhKGJCiCcQ5pf/2sHyijaGJej45VkjGZlq4rbXtvDmhkZGpcT+Dkai2IwaejwBdCoFCzc2sXBjEzajhhm5SUw7Kw2DVkXN7m6e3b4HsbQWnUpBrzeEURObN31/SiY/u/hAnTAjUPHgOSiGKAgdDUF/GJVGcdzdEmq3dbLs2dhne+6Pi8kZZz/MK2KUrWnG2eXn+7+eiMGiQZIk3n//fRoaGvD7/eTn57NlyxY0Gg2RSITKykpycmLPLEq1gjOuGUU4FKF6Uzt5k1KGJKbZs0xc+quJh+0nc2wc9dOBELs6XwQqJUl69CB9UoF2SZIkQRCmACLQfbTHlJGRkZGROd54vvwSKRQi9XexTK2DYb38ciI9vXQ+9hiBXbsI7N5NoLaOQHU1prPmkXjzzQiCQNIPf0D3Cy/iWv4JiT/4AYk//CGCWkX38y8AEKirw3DaDMxnn4PprHkn/PyUySmEV68h1NZG449+RLBmD96v1hPu6iLx+utQ2g8/GZSCQVrvvZeoy0XSj2+LbzfMmDHkcaizh4MkEWpqQpN75IVm92e6dTz6GJLPh8JuI+nmmwk1NWP76U+Ier24li/HX16Ov7w89iJBQDd2LFIohMJkPuJjysicCF6peAWLxsKr575KqiG1X1teQh4QE7VmZ84+BaM7Nt7d/S4dvg7+PPPPDDMNY1ndMi4fNbA+4KX5l7KwaiELKhZw54Q7D7vfD/d8yLq968g0ZfLryb/m0vxLWdO0hn9s+wcLzlkw4H38LjMxZSITU76bD8G+8i6QwDA5Fd3oJDqfK8W7uR3D9DSirhAK8+ABDcEWN4HdvVjOze4X+aweYQEJAg1O1GkGAg1OdEU2hBO4ECMjIyMjIyMzND7cvpfffVCORqngg59OY0x6LFDp0SvGIUkSu9vd5NgNqL6RpZJq0TIj18ay8jbuObfguAgf+0WtwXAEHACHDKIqshWxqHoRY2xjDtonUNcHgCbn4OLYN1Em6xENKhRmNZ5sE/p9gpY7EOaHL29kS0Mv/3P2KG4+fQTaffVDzxxl56FlVQCMTjPzp/lFlGQkUN/twapXs7Wxl9Y+P5vqe1i/p5vFO1rix5uZb6Mg1USvN8T0nCTOLkrlla/quWbKQAv+EyloNe3s4aMnd2CwqLngjhKShh2fwFJHu5cVL1ZgyzTS1eSmo955WFGrcWc3pauaaSjvJj0/gdSc2DXgdDppaGjAbDZTVVVFVVUVarWaOXPmUFNTQ11d3YB9KVUKRs9IH7Bd5tRyLCFvpwHXA2WCIGzft+23QBaAJEnPAJcBtwuCEAZ8wFWSJMnWgjIyMjIy3wpCbW043nkHhdWKbtzh7Y2Sbr2FSE83Pa+8CkCgqgp1djZpf/5zfEJu+9nPUKan413/NV1PPUXvwoXoxo8n3NpK5osvYJgx46TWeFGmpCD5fNRffgVRr5fEm2+i58WX6H7uOQSlAvvPf37Q14Z7e2m77z58O0oJd3SQ8tt70Y05+GT/UKj31csMNjQekagVDQToeXkBjnffJdTcjMJiIf1vj2A5//z+HRMTGbHoPVSZmQgqFaGmJpyfrMD16adoCkdjOG3oApyMzIlCkiQquis4M/PMQYUYo9pIuiGd6t7qUzC6Y8Mf9vNi2YtMTJnI5NTJCILAj4p/NGjfgsQCzhtxHq/vfJ2rC64mWX9oi7pdPbv43vDv8bfZf4tvOz/nfM4bcd53tvbYfyL+Xb0okrSokvVIdgn1cDOutc0gCjg+qCHx2gKUVi1Kmw7X2ma8OzpJvGwkzpWNCCoRw5T+dSTUmSZQCPQuqibqCoIESTcUoitMOkVnKCMjIyMjIwMQCEf47aIyPMEI95xbEBe09iMIAqNSB7d/P7colXsWlbGxroepOWdQ1swAACAASURBVMf+m27VHrxW0X5R61CZWnMy57C9YzunDTvtoH0CexwIagWqdCMfbNvLEyur+cFp2Vw7dfigIpEgCNhuKuKlsr089KeVPHpFCROHW/nJG1upanPxj6sncP7Y/vOeP11azIX/+JI0i46/XzWOHHtMENr/79zRKQBcN204kiRR1+UhFJFwB8KUZFhQ/pvF3U/PzDvo+ZwIIuEoK1/ZiVItEolIfPSPHVz2m4kYrdoBffdbAuZNTKZ49qHrq3mdQVa8WIFCJXLBHSV89I8ddDa6BhxbVAgIgkD3Xjfla/dS/vneeHv+5JT434FAAIC5c+ei1+tJSkoiISEBURSJRCJ8+umnuFwuTIM4+Mh8uzhqUUuSpC+BQz5FSpL0JPDk0R5DRkZGRkbmRBDau5fW39+P56uvIBrF9rM74jWoDoUgCCT/5jeo0tNRjxhB79v/IvmuO1EYD0QgiRoNiddcQ+I11+ArLaXjkb/hXrkS45lnYjzt4BPlE4UyORbBJEkSw197FU1eHv6dO/Gu/xrP+q8PKmoFamtp+vHthNvaMM6ejfnCCzCfddZRj0O1T9Tq/Pvfafv97zHOPoPkX/96ULvHb9L+0EM4Fr6FfupU7HfdhemseYgazaB9tYWF8b81+fnY8/Ox3/HTox6zjMzxptXTiiPgoDCp8KB98q357OzZyYLyBVwx6gr0Kv1JHOGhkSSJcDSMSqEa0PZe9Xt0+jp5eNbDQxKa7hh3ByvqV/Dsjmf53fTfHbSfK+ii2d3MpfmXDmiTBa1Ti/urFjxb21HZ9SgStQT2ODBMjom1giBgOjOT7gUVOBbvAaDnjSoQQdTGCpoLKpHO50tBAuv8/AEWg6JagXZUIqFWN6bZmbg+byLY7JJFLRkZGRkZmVPMupouPMEIL/9wMmeOGlr9zP2cPzaNf6yq4X/eLeXjO2fGrfKOFq2yv2giSVJ8jtgXiGVYHUrUStIl8cfT/3jQ9lCnF8+WdvTFdnZ1urjr7e3YjGru+7CC97bu5a+XjWVkSuyZ1h0Io1MpUIgCngQ1D38eq6n1yCe7cPnDiKLACzdM4syCge9ZmkXHxt/OG5K9nSAIcbHr24Kzy4enL8icG0ZjzzKy6JGtLHmylEt/NQH1N+Z4fk+IJU/uoL3OSUu1g5FTU9H82xywt82Dq9uPzqRm2TNl+FxBzr6lCINFQ/JwE3U7uuKfs8cR4M37vyYhRU8kLNG9140oCoyZNYypF45gz7ZOCqYfCCYMBoMA6HQ68vP7232PGDECgLq6OsaOHXui3iqZ44RsTi4jIyMj81+FFI3Scs+9+HfuxPbj27Bcckk8i2goCKJI4o03AmCcNeuQfXVjx5L1ygL8ZWWo9/kyn2wMU6diueQSbD+5PX6ew19+mc4nnqDrmWfxV1aiKYhZP3g2bkTy+wl3dtL+8F8QVCqyXlmAfvz4Yx6H0mrF/su76fz7E+gnTcLx/gd4N20m48l/oMnrH0UW9Xho++Of8G3ZQrChgcQbbyTl3nuOeQwyMqeand07ARiTdPCMx3xrPp83f87ftvwNQRC4ccyNJ2t4h+XpHU/zzI5n+PqarweIbSvqVzA6cTSTUycPaV+Z5kwuG3kZ7+x+hxvG3MBw80D7115/L1cuidUKHJU46thPQOa4IUkSrrXNRBwBoq4Qke0dIIGu6IDgpB1lRZVqINTmAUBQK1APN4EgYPnecELtXnrfrybxspHoxw2+IGa74YAA7K/sIdjsPrEnJiMjc8oIdXpRmNWIx7jALSMjc2Jo6PaQYdXT4fLz98+qMWmVnJZrO+zrJEkiUO3A/XUrgkJAnWHisUuKuOqVTdz3YTmPXjHQMaXHE8QfipCeoDvicXpCHozqmOAzlEytQ449KtH7XjWCSsGSFCVPvLARlUJgxS/OYO3uTh5cspOfL9zG1VOycPlDPLJiN4IAiXo1VoMaSYKLStJZvKOFcZkJPHnNeDKsBw9YG4qg9W3F2e0HwGLXYcswcc6tRSx9spRlz5Yx84qRJKTo8LlDfPTEDnrbPYydk0HpqmZe+MVaps/PRakWaat1olKL7PyqFfb5vOktaub/agLJw2PlBFKyzVSua+WT58qZeF429aVdBP0Retu82LNMzLxyJPmTktGZYrbXRbP61ynen6mlGSRQNjU1Fa1WK4ta3xHk2YKMjIyMzH8Vrk8/w7tpE6kPPoD1iitO+PGEfXWdThVKm430h/48YLv5ggvoefU16uZfijIlBU1uDp6v1sfbtUVFDHv8cdQZwwa89mix3XILSTfeiKBW4920iea7fkHdFVeizh6Oac5cbD+5nXBnF023/5jArt0YzzgD63XXYb3yxH9OMjIngw2tG1CLakYmjjxon/yEAxGD/rD/ZAxryDy942kAFu9ZzFUFV8W3R6IRKnsquSTvkiPa320lt/Hhng+5/6v7CUQCBCNBXj331bhgtqZpDa2eVoBDZrfJnHxCzW4ijgDWy0dimJiCFIkS9UdQGA5k8cWytTLoWbiLxGtHoyuwIqgOZEWrM0zoS+wISnGwQwxANcyIv6qnXwT2fwP7RUFVqoFwtw9feTeGaanywr/Mdwp/TS/hTl+/unn7kSSJYL2TzudKEXVKjDOHYZyR/p2/xr07Ogju9aBM0qLNt6JM1BL1hfFV9cQyUQusCIqh3f9kZE41NR0u5j26lsI0M619PgLhKH+9rAT1QX7DQx1efBVdIAh4t7YT7vAhmlQgga+sixH5CfzszDz+vqqGM0baObsgGbVagSiKSJLEDc9+TSAU4c+inqwp6SSfkTnksfb4ewaIWhbtwWtqfZNoMALhKKI+Np/xbGglWO/EcGke9y3aCsDpeTYSDWouGT+M1j4/Dy+v4veLKwDITzZybnEam+p6WF/bDcBfLhvLJePTOT3PftD36z8BV5cPALMtljmXVZjE7OsKWPVqJQsf3MDYORk0lHXj6QtwwU9LyCiwkphmoHpzO+vfj2X168xqfM4gtkwjE84eTmNFN1MvyulnYVgwPQ1Xj5+y1c3s2dYJQEaBlYvvGlog7v5MLbV6YK1XURTJzs6mvr7+qN+HwxGJRFAMwSVI5vB8t2cJMjIyMjIyR4AkSXQ/+yzq4cNJ+P73T/VwTimanBxyV3yCc9kyfFu24istJeGKK7BccjEIArqSEgTx+E+6hX2TR/3kyYxY9B5tDzxIqK2VriefJNLTjWvVaqJOJ5lP//OwmXAyMt8lQpEQy+uXMydrDhrF4BaaEMvU2k+Lp+Wg/U40L5W/xEd7PmJK6hQmpU5iW8e2eNvzpc8zK2MW6cbY4mSDswFf2HfEwpNNZ+P6wut5rvS5+LbyrnKmpE0BoKyrDJ1SxwcXf4BNd/hIYJmTh29nN4igGx0rzi4oRBSGgb8ZurF27BYN6iwzwmA1J45gcUedacK7pR1faRf6kkMXB/9PwbOlnd53dsdqjk1Nw72+BSISnq3tGCYkYzqCRT4Zmf2E+wI4l9ejyU3AMCnl8C84RnxVPXS/thMiEqpUA4pELaJGgaiNLUf1vrMb79YOFFYNqhQDzk8a8KxvJeWuCfGF5e8SUkTCX91Lz9u7YpkG+7IN1FkmIu4QkZ5YwIquxE7S1QWnbqAyMkfAmxuaANjZ6mRMupl/XD3+oPZ3oS4fHf/YhhSKArGgFOuVo9AX2xCUIu4NrTjer+Fao50vsxL43/fLuTMQ5ufDkrj7Z9P4cEUN5R2xmkmX4eXilW4en5kx6DxiPwpBQUSKADFRK8sccyjpC/ShEBSYVAMt78PdPgStMh6QI4UidDy1HSkUJfXuiUTcQfqW1aPJT6AuJSaqjM2wcP9FBxwXTss7kKE+NsPCHy8ppjjDQrvTz9Q/rUSlENCqFMwpOPH32lONs8uPqBQwWA4854yekYbBombp06WUrmpGVArMv3sCqTkxkXHMzGEUTEujdY8DS7IeU6KWzkYXpiQtWoOK/EF+oxRKkWkX5zL+rCwqvmjB4whQMnfo86H9otZgmVoAOTk5VFVVUVVVRUHBwe/R3d3daLVaDAbDkI9dU1PD0qVLufbaa7HZ5GebY0UWtWRkZGRk/iPxbtmCtrAQUXfAsiBYV49/505Sfve/Q6qh9Z+OMjGRxGuvhWuvPSXHV6WkkPnPpwBovO02et9ciDI5meFvvI529OhTMiYZmRPFqqZVOAIOLsy98JD9RlhGcH7O+XxS/wnNruaTNLqBrGxcSZunjUXVi3iz6k0AVKKKx898nHu+uIcfrfgRr5zzCna9nYruWHTq0WRT/XDMD2l2NXPeiPO4Y9UdlHWVxUWt8q5ySuwlcfFM5ttDoMaBOtN82AVnQRDQZA8tOvpw6Cck493WQc87u9HmJ3xrFruDLW6kUBTNPlucQyGFo0S9YRTmgdHB/064y4dj8R5EfawGmfvLvegnJKPONuNYVEPfsnr045NRmA8uksvIDEbve9UEdvcSaHAOSdSKBmMLxaL6yOfO/t29dL+2E1WqgYgrSO+iasK9fohKqDNMqNKNeLd2oMlPwDo/H2WiFn9NL10vlOP6Yi+Ws7OP+JgnmmgwQrjLR7jLh6BWoCtIJOIKImgUBBudOD6qJdwes1JMvnNCLDurvAvfjlhGge1HxQT2OHCtbsJhVGGak9Uvy1VG5mSxdncnb21qRK0QsRrUJBnUjE4zs6fTzdljUhmeFFusb3H4eGdLE+cWpXLN1CymjEhEo1QgSRJRVwjRoEJQCEiRKP5qB30f14JCJPUXExEUAqJZ3S/D2jAllag7hPPTBu4bYeJaKSZgrd7r4AerGnl0dQ0GBDz7FOHlQT+tm1pJn3rw+eBnl39GaWcpd66+k25fd3y7I+DAorEMyPAO1PfR+UI5mmwziVeMRDSp6VteT7jdC0DPO7sJtbgBCev8fD6siAWaPX/DJFLMB7KGxqRbsOhUFKSaePu26fHtKWYtT187gWHWI7dP/C7i6vHTVtuHKVE7QHzMGpPEvB8UsuKFCsbOzogLWvtRqEQyChLj/7dnHbrm9n40ehUTzh5oX3449tsPDpapBTB+/Hi2b9/Oe++9x0033YTVauWtt96ipKSE8fvKMvT29vLPf/6TSCTCddddR943yilEo1EEQRhwzdXV1fHGG29gt/93BGadDGRRS0ZGRkbmW0+4s5O+xR8RbG4i2ucEUURQKDCcNgPLRRcN6O9cvpy9d/0C8/nnM+xvj8S3+yvKAdBPGlrNF5mTR9rvf0/3Cy+QdMstqNLSTvVwZGSOG+Vd5bxe+TpLa5eSbc7mtPTTDtlfKSp5aOZDCAhsad9ykkbZH0mSqO+r59wR5/KbKb+hsruSFH0KepUei8bCM/Oe4ZYVt3Drp7dyU9FNPLD+ARK1ieRYjrx2oFFt5OFZDwOQacqkvKucZlczG9s2Ut1bzQ+Lfni8T09miESDETzrW4k4A1jOy0FQxB7Oo/4wwWYXpjNPbpaQqFaQcHEuHU9sw7u9E+OMUyt2uje0xuqK9fpj9cRK7GhzE9CMsKBI0g5qkdi3rA73uhZ0JXas389HVCsItrhxftaIKkWPYXIqgkaBY/GeAwvgPx4L0r6aZMNiUfGabAvtj27BV9E9qJ3bvyNFJIhG+9k/yny3iPrDSKEoCtPhBdFDIYWiBGpjdlyRXj9Rb4iIM0iow4uu2Nbvug22uHGtbcZf1QNRMJ6WjnFaGgqLBikqEfWEcK/bizrLjK4wacCx/DW9dL26E1WyHvvNRQTq+uh+rRJRr8QwNY1AbR+ejW2IJjVJ1xUiamLXpzbPim6sLS7kquwHrz9zsvFX99L9eiVSIBLflvzTcXS+VA7haOwzStRivWIkuoJERL0KhUGFanYm5tkH7pmaERYiriDur1rwbG7HMDUVXWHScQsCkJE5HF/XdnPDSxuxmzToVAp6PEHcgXC8/ZnPa/n12aOYP2EYv/zXDqJRid+cU0C27UBWSs/rlfgqulGm6FGnG/Hv6okHbiRdV4AyUTvYoREEAfPcrJgd4fs1PC9peRAfTiTeWVFNI1Eeu6SIX3wQe3YPAG98sJOfpxnRZA0eQGLT2SiyFQFw15q7ePfCdxmVOIp2bzsWTf/vVajNQ9eCnRCNEqhx0PqnjejG2vCVdvFGpooGXxDHjgZaiBLSK/E+uRaXP0xmoq6foAWgEAVeuHESSYaB9+Zzi/87nmn97hDvPLQZnzNI0rDBs/fyJiaj0ijILEwctP1kcij7QQCVSsXVV1/N888/z8KFC5k+fTr19fXU19djNBrRarV8+umncRvBVatWkZubG3t+qq/nzTffZN68eUybNg2A1tZW1q9fT2VlJYmJidx8880HzRKTOTJkUUtGRkZG5luH4/0P6HrmaRRmC0q7Hc/69Ug+H4qEBESLGSSIer30ffgh/ooKku+5J/4QHu7qou3+BxD1epxLl2I652zMZ50FgK+sDEGrRZN75AuvMicWVXo6qffdd6qHISNz3OjydfHI5kdYWrs0bjd4e8ntKMShLSpnmDJYUruEbR3bGJ88NI/444Uj4MAZdJJtzkaj0DAuuX8B77H2sTw590lu/+x2fvvlb8m15PLEnCdQisf2aFFkK2JZ3TI+a/wMiC1QzMmac0z7lDkyosEIwUYX4S4f3q3tBBtj0dNSOIomJ4GoL0SwwQUSaHKPruj6saBON6JKN+Ba00TUFybiCCCFIqiHm/Fu60CdaSLhwtwTdnxJkvDv6sW9tplAbR/qTBO6wiSkUBRfWRe+7TEhSmnTkXLn+H4ikiRJ+Mq6APCVdhJxBrDfVIx3czv+nd34K7txr29FUApEfWFMszNQDzcPusitStajTNbjK+sakqjlXFGPr6KblF9O/K+qR/ZtRopEkQKRfhmHEWcAX2UPkj+MfnwyfR/XEWx2E/WGiPpii83G6elYLszp9zlKkgRRaUB9plCbh4g7SKQnQKDRSbjTR7DBCYBpdgauNc10PLWdcHfMDi/xylHoxycD4C3tjFtfakclgiThWtOEa3UT6iwTUihKqDVW701h1cRFLUmSQIJgfR/dr+xEmaTF9qNiRL0K3Rgb1kvzUdp1aEbErutoIAwRKS5o7Sfhghzaaxx0PrMD/cQUTGdk9stmkqLSgGwAKRLz+jvSOlWBWgeqVMMhsz8lSYrbJCqT9ZjnZSHqVXS9UEbHU9sBEE1qTHPSMZ0+DEF16DEICoHEy0ZimjmMvhUNuL/Yi/uLvVi/P/KkWELK/PcgSRJLy1qxGTVsaehlSWmsVqnDGyQzUccnd81Cr47N3/yhCF9Wd6FQCDz+6W7uWVTGw8ur6PWG+MMlRf0ErVCnF19FN7piG6F2L/7qXjQjrejH2tGOtA7JXtg4JQ0pEIWltUxCyWsEeUEboTjRzCVTs1hd1k6KRcP2Lg/vN/Vx/eI9pPx0HN2v7kSZpCPhgv7P9FatNf73h3s+ZIZvBpsbNnLtyGuQQhF63tqFbqwdx5JaRLWI9fpiup4vA8BX2kVHopqnm2K/03q1gpkjbBj0KgwaJXqNgln5g2fYTM4+9ULNqWTt27sJuEMAJGcPnmUlCALZxd8Ou71AIIAgCKhUB7/nm0wmrr76al566SU++eQTNBoNBoOBhQsXEo1G0Wg0XHjhhUiSxJIlS1iwYAFdXV14PLHfxe3btzN69GgWL17Mnj17UKvVFBUVcfrpp8uC1nFEFrVkZGRkZL41SJJEx0MP0fPKq2iLilBYLAQbGjDOPoPkO+9EnZ19oG8kQvvDD9PzyqtoCkaTMP8SpFCIlt/+lqjXS/Y7/6Ll3ntpu/8BVKmp6IqL8ZdXoC0sRFDKP38yMjInlgfWP8BXe7/iluJbuKnoJrxhL8n65CG/foR5BAA3LLuBjy/9mEzTgQhvV9BFVU8Vk1NPTNZpg7MBgGxL9kH7TE6dzKOzH+XhjQ/zwGkPxGsXHAs3Ft6IWW0mNyGXKalTyLHkyAvwJxEpKtH5XCmhZjcAglZB4tUF+Kt78Wxow7OhLdZRBOOM9Pii9MnGemk+3a9V4vy0AdGoQgpE8O4Tk4KNLnTFthOW7dCzsApfaRcKixrL+SMwzkiPL6AnXJxLuNOHZ3M77rXNBFs9/SLKQ60eIs4g1u/nI6hEet7aRc+/dhHu9KLJS8A6P4/Ol8oRtUpsNxejTjt0jQZdsQ3XqkYiriAKkxopHCXU4UWdPjBK2r+rl3CXj0iPH2XSf4cV0rGyX5w5VA2XoRD1hgj3+FFn9F/o6/s4lrWnybEQDUUhKhHa6z7QvqweAO2YJBQmNQqTmkhfAPdXLYTaPOgnpqAflwySRNdL5USDEZJvLwHA+Vkj3h2dRL0hJP8+60CDCmXygc/eODMDz5Z2JMBy3gh85V04PtqDOtOEZ3M7rjUx8Srp+sJ4dlio0xsTbyu6ibiDmOdl4d/VS7DZRdQfRtQqY8fe0k7UH0aRoMH+o+J+YpRhSmq/90HUDD4nV5g12G4qwrW6CfeXLQTrndhvHYugFAk7/HS9UI46w4j1ilEIooAUitLx7A4ElYj95mKigQhSKIIUjKIwq+P1u75JqMOLa20z3s3tiCY1iZePRDvSOshowLejE+/WDowz0jF/b3h8f9oxSfgrujHNzsByzohBX3soVCkGbNcXEg1E6Pjndjyb22RRS2ZISJLUb47U1OPloWVVXDE5kzNG2glHooiCwF9X7OLpNXvi/cYNs+D0hbDoVPzlsrFxQQtAq1IwrzB2/c0eaefz3Z38c/UeNCqRq6f0n+e5v9wLIiRclHtMGaTGaWn0La0lx6QDV5BOf4i/nTMeQRB44paYHfWS0hbueHMbK5t7uXhjG3+o3EuqSslvzhvR7x6tElX8cuIv+duWv7G+ZT0f137MQ613k787g77eWHCHr6IbQaek5rxM3F4fs68tQBAEnJ818FYiqPtEHr2yhIJUE3nJQ7PB+2+mdnsn1ZvamXx+NgXT09Aav/1WqsFgELVafdhnjLS0NC699FLefvttxowZw7hx41i1ahVjxoxh7NixaDQaIpEIDoeDyspKcnNzycnJob6+nrKyMj766CMaGxuZO3cukyZNQqeT51/HG0GSpFM9hgFMmjRJ2rx586kehoyMjIzMSSZYX8+ec87FMn8+aQ/cj3CQlPD9SJJEzawz0E+dSvpfHqblN/fg/OgjUu+/H+tVVxKoqaHxR7cQ7uzEevXV9L79NonXXUfKb359ks5IRkbmv5FuXzfz3pnH9WOu5+6Jdx/VPkLREMvrlvPbL3/LlaOu5H+n/W+87acrf8ra5rX8atKvAGhxtzAjfQZnZJ5xXMb/fvX73PfVfSydv/S4iFUy3y4kSSJQ20fEEUBhUiMaVQT29NG3tBYAy7kj0I2zozCpY4vFkkSkLxDPKhF1yiFFYJ/Qc4hISJEoolqBf3cvrrXNWC/Jo+PZUhQWNck/GTeoGCGFo/jKu4gGIrGFY3FgzYODHjMUZe/9X6EvsWO9NP+g70HY4aftoU0kXJKLcdqBLKre96vxbGon7d4pKExqXGub6fu4DgDzWcMxz82KZZqIDGlMoTYP7Y9vxThrGIbJqfS8vYtQs5v0+6b1yziJ+sK0PLgeJLBePhLDRHnBfCi417fg+GhPzBIuz4px2pHbSO0XX8JdPiwX5GA6fVi8rfmeL/r1VWeZ0I5OQjc6EQRwfLgHVbqxXyaCJEm4VjXh3dpOuNuPMkmLwqolUBOzEzSelk6wyUWw0YUiUYsUjmI+MxOFVYtuX72SYIubcLcPfbEdKRyNfQdEgVCHl/bHt0I0tj6kn5iCdX7eYb/r/hoHXS+UYbkgB12RjbaHNgIxUTzl5xMOaj92JHjLOul5owrDlFQS5ufR+fQOgi1uCEuos82YzxqOv6Ib91ctg75eNCgxzsxAV5CIKjUmFns2tdG7qBoEMExKJVDfR7jDh35iCobJKf2E8Yg7SPtjW1Ak6ki+vaTfvSXqDxP1hVFaj/08e96qIlDvJO2eKce8L5n/DCRJ4qs93bj8IUBAEGB7k4NPytto6PGSn2xk6ohEUi06nl5Tg9MfRikK6FQKXIEwdpOGTleAKydlMmuknZQAbH+rmmhY4qrfTcGYqKWxopu0XAuab/xuBJtdOD9rxDQrA03OwCAR5+pGnJ80YJiehvXivAHtR0rYEaC03cmlL8fuH3V/Pq/f72A4EuV7j60FR4CXonpmR2MZp59dM4lbV1Ty8g8nx+t/ATy65VFeLn+Zsf5RPFx3Z79jKZK0KC/OZd7CzTj9IV6/eSqn5dlo7vUy+69ruGZqFg9eXHTM5/SfwLp3qzHbdBTPzhi03e8J8eYDG9Cb1Vx+zyQUp3Bu6O7143OHaNntIHm4iZQRZsSDZO1+8MEH1NbWcvfdQ3tGa2lpITExEa12aPf5yspK3n77bQDmzJnDrFmzhnYSMgdFEIQtkiRN+vftcqi6jIyMjMy3Bl9FBQCJ1193WEELYos+uokT8W7eTNuDD+L86CPsv/gF1quuBECTl0fO4g9p/+Of6H39dRRWK0k/uvmEnoOMjIzM8vrlhKUwF+ZceNT7UIkqLsy9kG0d23h719vkJ+RzxagrWNO0hrXNawF4ZHOsZqBaVPNm1Zu88L0XmJo2FYB2TzuLahZxce7FpBuPrPbQ+tb1aBXaI36dzLcfKSrR8/aueL2mbyIaVSitWowzh/VbtBUEAWXCsS/YHk8EhYCg2Fd/Z6Q1nl2RcP4Iet7ahWdD6wBbvkBdH73v1xDuiBWB71teH6v7cXVBfKH7UARb3BCR0BUmHXKhX2HRIOiUeDa34yvrItzjR1CIhLt9GKenxyPajTOHEXHEMm80eQnx8xoqyhQ96uFm3Gv34l67N7491OVDk/WNxclGJ+yLYw3WO2VRa4j4dnZDFHzl3QRq+zBMTT2izNFwl4/OF8qI+sJoci30LaklUNeHMkGDaNw3x1UIaEdaSbq+cIAIa7917IB9XgdZ1gAAIABJREFU7q9DY5qTiX9nD86VDQRq+0i4MIdgsxv3uhYETSzDUjfWBtGB15Q63RjP5vvmdaxK1pN45UiCTW70JXbUmUPLUNAMNyHolPQtqaVvSUwYt16ajzrbfFwELQB9sZ3QbE/MdtQbItjoIuHiXBAFnCsb4/ZhxhnphPsCCAoBzXAzgjp2j+h9rxrn8nq8W9pJ+cVEBFHAvaEVVaoB281FKIxqpFCEvuX1uL9uxbu9g+Qfl6DONBHuC9C9oIKoP4L9svwBn5OoVQ6aBXY0KBI0RJzBQa0VZf7z8Yci1HS4qWpzoVaKnJFv54GPKli0bW+/fgpR4LQ8G/MKU6hsdfLOlma8wQhFw8z84ZJiPtrRQlSSMGtVvLe1mcnZVv7vkjFUft7CunerSUg14O71s+ivW7APN1Nf2oVaq6DojAxK5maiVYt0Pl+GFIjg391LwkU5hDt8CGqRaCACUQnPhjb045MPaffbUuPAYtdhsBzeak2ZoKHQkMicgmTumJM34F6rVIj84qyR/GzhNl7BH9++dGMTtV0ePqvs4ObTD2RKTkudxsvlL/M/4VviNfy6VzfyuBDg7h9O4NXNTTj9IWxGDY9+uhutSsEbXzcgCgK3zz5xFsbfBvyeEBq9sr+FbVSiqbIHnUmNPSt27+9p9bD9s6ZYuwRjzxwobH3xr5jt4IU/KznpgpbfE6K72U1PqwdRIbB24W6i0QNJO2qtguLZGUy9eKDrw/5MrX8nFIzw5TvVFExNJS3vgMV2evqRPQ9lZ2djs9nIyspi+vTpR3hmMkeCLGrJyMjIyJwyQh0d9L72OrYf34ZoMOCv2ImgUqHJG3rEl37iRFzLl+N4622SbvkRtttu7deuMJtJf/ghLBdfhMJqRZk0sJC1jIyMzJEQioZ4q+otLsq9CIvGQq+/l/Kucmr7apmTNYfFexYzOnE0+db8Yz7WPVPuocPbwR82/IF1LetY3bQaURB58XsvohSVsbpXSg0zFs7gy71fYlAZWF63nIVVCwlGg5R2lvL0vKeHfLzyrnKW1S3jluJbjrlGlsy3D/dXLfh2dGKel4VuXDJRd5CoO4QkgW5M0nd+IVVXYkezuZ2+5fXoxiQhmtT0LKzCX+1A8sXs0JJuKCTiCOAr74pnO6kyjBjGJ2OYljZoPR7nZw04P2sEOOxivyAIiHoloWY3okmNNi8BKSqhyUvAPC+rXz/LBTnoJ6UMahl4OARBwH5LMaF2L6E2D4HaPrxb2ol0++Ebtof+PQ5QCGiyzfhregdYVskMTrjDi36cHU2eld53dxNq8aAedujPKeoLE3EHkYJRuhaUQ1TCfutYFBY1rX/YgL+iG0ElIoWiIELqLycdlfAjCAK6MUloCxOR/BFEnRJJktAV2VClGQ7sc2glHOPoS5LRlwzdJhdAUClI+59JBFvchFq9EJXQT0457teY+XvDCba48ZV3IxpV6CemIKoVGCak4N7YSrjdi+XcEYPWslIkavFsaMVX2oXzswaM09IJ7XVjmpOFYp/AKKgUJFyYi2lOFh1PbKPjmR0YZ6Tj3dGJFIhgu3EMqpTDi9/HgsKigahE1B1EYZZrrvy3IEkSr29o5I9Ld+IPRQe03zk3n++NSWG/ydawBB1Ww4EF+VAkissfxqpXIQgC4zIPLMb/bE4e0UiUNa9UUb2pnZxxdub+YDQ9LR6+/mAP9aVd5E+0I0mwdUUDO1Y1kZOqozAQIfGqUXi3deD4YM+/DwldiR3rZSP5fOEuwsEoo6amkpZvQbmvjqTXGeT9R7ai0iq4+a8zQQS/O4THEWDnly3kjLeTVdj/mVyrUvDSDw5uq31+cRpPra7h1TZXfNvS5l4ANtX19BO1pqdP570Zb6F/sQfD3HR0hUmUra5jsRRkywsb6HIHuGTcMHLtBh5ZsZvvP/0VANdNyyLN8p9rEVdf1sXSp0o57bI8xu2bj0iSxJKnSmms6AagZF4m9kwTe7Z2gADJWSbWL6pheFESFvuB96a9zsnuDe1MOj8b+xCDII4HAW+ITUvq2bG6KR6ws59pl+SQOz6ZrmY3NVva2bK8gabKHorOGIZaqySrKAmVWoEnGOK1nLGMberF1uDDYNVgTdWza0MbO79oYffGdubfPZ7k4ebBB3EYdDodd9xxx6BtkiTR0eDCnmVC/I7Pub8NyE+qMjIyMjKnDM+6r+h+/nnCHe2kPfQQ/p070YwaNaQsrf0Yz5hF9wsvYL36KpJuu+2g/QwzZhyPIcvIyMjwedPn/GXTX/i86XPGJY/j2dJn4237s6d+Pfn42JyqFWoem/0Yv/r8V6xqWsWE5An8eeafB2RRFSUVsaBiAQsqFiAKIhfmXEiiNpGXK15ma/tWJqRMGNLxXtv5GiaViZuL5azWE4UUlQg2uVCnGwddgD2ReHd0osowYp43PLbB9p+1eCMIAtZL8mh7fAsdT+1AlWHEX9GNwqxGPz0T0+xMxH3ZG8YZ6UTcQbzbOmILdx/V4t/dS9KNY/qJe8FmF86VjfH/K4YQda4vseNa1UTyj8cesoaVIApHJWjFX68UUQ8zoh5mRD/Wvs+Wbl+GkD+MeW4WvopuNLkJ6MYk4diXqXaiF+e/q+y3r9PkJRDpC6JKN6ItsIIArs+bSLxiVL/sJseyOiRfGFWaAc0IC33L6/FX9QAgmtXYby2Ov9fJd4wDUUCVZiDqCiKFosecySQIAoJOGf9bN+bUBG6JehXaPCvavMHrUR0PBFHAdn0hgfo+VKmG+PdYUImYTht2yNdqcxPQZFvoiVTiWtUUqwUkMaitmsKgwn57CX1La3F/sReFRY3txyWHrXF3PNh/bwk7AoOKWqEOL6JeGRfiZE4+0aiEOxjG7Q+ToFfF61F1uQOs3d3J6l2dfFHdiUGtZGpOIvNGpzB7lD3er7Hby4NLduL0hwCwmzS4/WE+393JrJF2rpyUyahUE+1OP5vqe5iaZaW4J4QqAOos86DZvCqFSKJBjbvXz+IndlAwLZXC09NRSBKOJheOd6vR9/iZekE24+dl4fy4Dml3L1MiUaQMPdIeByhFijIN+MJRQu4gAL2CQPqNY3CtaiTqDYMQs0kVDSo0IxIIhSJUfBG7Z+7a0MaYmenMvrYAgN0bYzU4Q/4Iz931OdFIf/WhZksH19w/Db156NeyKAr88nujuOXVzYgCqBDY7Y+NdWN9T7+ADUEQsJeq8ShFjNPTEPUq6uwa6PSy1+FDrRC5+6yRhCJRHlmxG4AzR9m548xjD0Y7EQR9YSKRKLohfvelqMTmZfX0tnrZs60DhVJErVPicQQAKFvTjC3ThEIh4Ojw0VjRzZQLR+Ds9LFjX3YWwMgpKUyfn8drv/uKHauamHXlyHjbrq9bUahExs87vE15KBBBqRaPOdjB0xfgrQc34veEKDw9ndzxdsw2HZuX1ZMzzk7OODsACSl6cifYqfiihR0rm1j1ahUAWqOKwtPTcW61MzFJ5OtPtmMI9L82G21KUoPw4WPbyJ2YzIixNsw2HaterWTaxblkFibGzwlApYn9Fg0lw9bvDvH+o1vpafEw/5fjSc8/cb+Z/y3IopaMjIyMzCkj6o4VxO77cDHaomL8paWYL77oiPahzsoi//M1J2B0MjIyMoOzqnEVABvaNrChbQNzMudwXeF1GFVGHtvyGJ6QhwtyLjhux1MpVDwy+xH+tetfzM2aS6ohdUCffGs+2zu3My1tGvdNv49MUya+sI+3d73NBzUfUGIvQSEeOmy/xd3Cpw2fctnIyzCo/jMXvcO9fqRQFFWy/pSNwV/VQ/erOxH1SoynDcM0J/OoH/QlSSLqCSEaVIfcRzQQxvV5M6EmF+Zzso9y5N8NlDYd5jlZOFc0EA1EMM5Ix3JBzqCLDQqjGtPMDEwzM3B9uZe+JbX4q3vRjUqM93GtbUbQKkm8bCQM0R7QPG84pjMyETVHmCpzDAgqEYVFQ7DJFauxpBTofmUnAKZZsXpCDsD5WSPG6WlE/RGCDU7MZ2d/5zP0jgfhvgCOxf0zElTDjLFrZE4WrpWNdLqCJF07GoVRTajNg/vzZlCKED6QXaGwaDDOHIau2IbyGwKoOuNAJLuchXN0CCoR7VEuAgoKgaR9oljf8nrCPX40WYNnFygTNCReU4CvvBtNtjluGXqiUSTErotIX3BAW6jNQ/vft4IEymQ9umIb5nlZctblSWJzfQ8/W7iN1r4D1ncGtYKiYRZc/jCVbU4kCWxGDXMKkvEFI6yq6mDR1r1olCKTsxPp9gSp63KjVogUpscyQDbV9SAB95xbwK0zc+KZG3nJRmbkJtGzsApHaRcAkkZB1KwmFI7icIZw2vWkTUkhe6wNrV7FZwt20tvqYf37e9i1uJbJBgVaUUAHZGsU6D0hup4tJdTmidno6pQQkVBYNUjhKFFXCLHBScQbJgxsWV7PpWNtB4Jg/o3msliW1PT5uTTu7KbiixYad/agN6vpbvGQmmNm0vkj2FvVi1KjQGdUoTWqcLR52bS0js1L65h19agj+hzmjU5mfFYCoUiUcE+AKl9MpOnxBNnT6SYv2YQkSbi/bMGztR3D5FQURjVOf4gKuxr2OS9fN204mYmxeeD/XTyGqTlJjEw5edlGR8KerR2sfLWSkD/C6VfkUzIns1970B/G1e2nu8WNxxHE6wzSWu2gvd4Z76NQEhe01FoFzi4/Hz62Ld5uStQy4ZzhiILA2DmZKNUieosGtVaBIAjkTUym8qtWwsEIOqMaT1+AXV+3kTcxGbXu0LJCOBjhzfu/Rm9WIyoEtAYV6SOtZBRYcXb62L2pnTEz0/tl7oWDEda8uQuLXcfYOZmotQrCwShbljUQ8IaY/6sJpH/DHnDeDwoHHFcQBIpmDaPw9HQ66p2EAhFKVzezdXkDgkLBmKYg7RYFnvnpWEQRZU+QdT0uNgxTki0ouLdBwZ4tHVSua43vc/UbVVz7wDQqvtjLhg9riUYkUkaY0ZnUNFZ0M+uqkYw6SP1NSZLY8kkDPa0eZl87iqSMb+f19l1DFrVkZGRkZE4ZUU9M1NJPmkT7H/8IgOWiIxO1ZGRkZE4WzqCTJXuWsLJxJefnnI9GoeHLvV9y3/T7SNLFHsae+95zJ+TYKlHFtaOvPWj7VQVX0eJp4c+n/xmrNrbop1PqmDd8Hu/XvM/nzZ+z6KJF8XFu69jGc6XP8cCMB0jWJ7O9Yzt3rr4TtULNNQXXnJBzOJVI4SiCUqTnrV0Em1wkXJgTs5o7BQuCoTYPEIu6dn7agBSJYp43/IiEBSkSxb+rF/f6FgLVDpQ2HfqJKYS7fET6AqgzjEjBKKYzMgg0OHEsqSXqDIJCQF9sOy7nEYlEiYSiqI9TPZnjiemMTFQpejR5CYiaoY3POC0N1+pGvJvb46JWuMePr6Ib4/T0I8qCEUQB4SQKWvtRJmnx74otNNp+UESkx49/Vw/6YhuiXoV+UgreLbFaX/sxTE8bcs20YLOLcJcP/bgjs6j7LuArj70nSdeNJtDoJNzhi1tNWs4ajsquo+fdajqe3E7S9YV4t3eAKJB2z2SkUJS2hzcBYLvpxNvUyRw9mmwLyT8uOawNpyAcv3vlUNmfqRXpCwxoc65pimWlnZlJoNqBa2UjKrvuP/K7eKrpdgfo9YYIhqN8WdPJuppu1u/pZphVx51z8zFplRg0SnY0Oajt9JBkVPOLeSM5c1QyY9LNcWEqHImyqb6X5eWtbG10YNWrmDo5i2unZpE/BAEl1OzGV9pFd5KOxjYvtmAIgyeEKAjYlAL2Nje1/+pj/etVaFMM6Lu8XGjXICVpEdu9RDQK8EcQErXo8xPwbGhD0CpJunEMuoJEJEmidnsnycPNaA0q3L1+PFs76PysEb0IbXUuSlc3UzInk0gkSuW6VtJyLSQNMxLel6Wl1CgomZtJ8ZkZbFvRSF+HF68zSE6JjfY6J1+8vZvTLstHo1fSXuekan0rjRU9iAqBsrV7yZuc0k+c+CZ+TwgkaCjvIhKWGDU9FYVCZMEPphCIRLj3uY1U+QJYEOhDYkNdD6GIhKYngHppLaJRhWl2rA7UdS9soLS5jwlZCRQPs/DzuQdKHfx/9s47zI36XNv3jHpdabXS9l1v9Xptr3s3uFCc0DsBAgTSCAlpJCEnOSGVtEOScwhJCCSBhBY6oYMpBvfudVmvt/cmadW7Zub7Q0ZmcaWTL7qvy75W0mjmp+nzvu/zPlcumvSO9o9ELM2GR9uZtqwMnUlN9y4PFoc+qxJ6PxkfirD67hYKysyotSo2PdlJzSwXZnvmXBEPp7j3BxtJxtLZ76jUAtJblHGlk22c943ZJGJp3L1BnrqtGYNFw9wzJpHnMhIPp3BWWFAdbL3sPEKyf/bplfiGo/Tt9RILpdCZ1JROtjHztHLGeoP07vXSu9dLUXUeSy+eqHZr2zJK2Jcg7EtgceiJR9L07PFmPxdVAj17PMw6tYLyKfk4yszsfrWPA5syar8dL/aiyCAdLB6ZvLDoqPvMkRBFgaKDqtzyKfkE3FE+98IrHDAX47WogAiSBORBfbGVK/PN3DXgwXlpFacaGxlq92dbM+56uZ97blpPPJKivDEfe6GRwTY/g21+8lwGXr5nP0Ptfk66tB61VsVIV4DX7mslHkmRiKaRUjJ18wqZetKx1cU5TpyP3xNIjhw5cuT4j0EOhxG0Wkp/91u6zr8ATUkJhpkzP+ph5ciRI8dhPNX5FD/d+FPiUpxGRyNfaPoC1XnVyIqMKHy4LeSORL29njtOveOw969qvCrr9/XF1V+kzl6HUW1k7eBahiPD3PTGTZxRfQY/3/xzSkwl3L3qbiblTfrwf8AHSLzTj+fufVhXlJPsCyIaNfj/1UlyIIztrGoSXQHUTsNx1VtyUkLQvPf2KWlPDJVVi+PqRnyPtBF6tZ9kf4j8iyejOk4rHiUtE9k+SmhNP5IvAWoBy7IyorvGCL7Yg2jRImpFQh1+EA61U9OUmnFc3oCmxJxt23Usgp4Y+zcMY7RmTMOL3tKmK+iNsX/9MP37xwl6Yiy5qC4bbKifX5j11PgoEVQChqnvLCAtqEWMswsJrx0kvHkYbZkFzz37EA62L/p3QFNoItEZAEBXaUGotWGaf0jZmX9RPbYzq0l0B4hsHyW+z0vaGz/hpJb7zt0oSRltpRW1/b21zvs4IQWTRLaMoC40YphWgGHa4fuOcaYLdYEB770tuO9oznhYTXVkW8G5vjyTeKc/l9D6N+HjqHASjWoErUh6LDrh/bQ3RqzZjXlpKdYVFSjLynH/qRnfY+0okoJpTuFHNOJ/L8aCcdzhBD2eKA6zljqXmY6xMJ3uCL5okuI8PUP+GL9d3Yb8lo5kkwstXL6ggutX1OCyHDrvXTb/2G3X1CqRRTUOFtW887agoz1B+u/eR4Ess60vzKQ5LuwNdvQmDVqDmnQoifv1ARyDISbp1cQTKSwmNSqTBmkkir4hn/xLJ6PICp7BMLJehSiKOJcUoynI3Otse66HLU93g8Bh3kQA9mIj6x5uR6US6G72ZFVYn/jCNNY90s5Yb4jFF9QS8sbRmzXMP+uQp9VwZ4C2LdsBeO6Pu7PvWxwZRdBod5DBAz6e/O0OTrm6kckLimjfNoqzwsL4YIT9G4fp2+tFo1eRiGYSNpFAgnlnVpFn1AAaym1GcIeYiooDSGzu9PL9J/YCsA4rhV+bjcqiJSXJ7B7IXBc/u7SaM5ve2/V8w2MdtKwfpnXTyIS2itYCPQvPq6Fu7vtzPEopmdV370OrV3HGl5pIRFM88KPNdO0ao2lFRq21b90gyViaBedUU9Zgx+YyMNwV4Lk/7aJ0mo/BvQUUVpkJhvYSDu1HYzdiK7SRV2DOzuOtKIpCIjGCSmVEJZrZ/FQPxbV5pBISF357DiqNiKIoBNwx1j1ygGdv300snAIBzHYNza8E2fvGACuvrqBuTjXduzxseLyDgnIzy69owF5kRKtXE/YlGGzzoTOqKarKY80DB9j+Qi/bX+jNjsVcup26JRHSo5eh1qnQmzRYCwxUNb23YoM8p5FBkw6NVaF7xQw0goAMxCQZk0okJMk8MDzO3wY83N5YSfmUfMqnZJLAFoeelvXDLLt8MjWzndnrSDolIYoCm5/uZscLvQS9cc6+YQY7Xuwl4k9QM8uJ1qDGVmikfsHh3TZyvHsERTnC2esjZu7cucq2bds+6mHkyJEjR44PmOEf/YjQS6up37CetM+HIAiobCdeeZMjR44cHwaSLLHqsVU4DA5uXnQzUx1TP+ohvWMea3uMB1ofIJKKEEvHUItqPjHpE/yj5R8ALCpexP8s+x/ydId7jLwX/GNRfCNRSmrz0Bk1QObh78NMfHju2Zf1uYFM8Dm230vo1X4EvRolnvGKMM5yYVpYjNphILp9FG2ZJeu5kugN4r5zN46rGie0pns3jP1xF4JaxPmFJhRFIbJlhMAzXQhaEed1M9A4j55cc/9tL4k2H9pyC5YV5ehqbIg6FUpaRklKiEYNiqwgh5LIKZnozjHUNh3GOYUnpARLxNJsf76H5lf7kdOHnhOXXzEZRclUBbdtGcE3kgm6qjQi0luM7bUGNQ0Li1hyUS2i6qNP9r5TlJSM974W4u0+BLWIaNBQcM1UNEX/HokKKZRk+JbNaMrMFH5l1jGnTY/HGfn1VuwX1mGad3iQJdETAPmQ75AcTTH0k00AmE8qxXZm9fv/Az5kFEXB/3gHka0jIJA5vqccOwAthZJ4H2hFiaUo+HwTKpPmQxptjv8EvP9sJb5/nOLvLci2L/U9mdlHXd+eiyZPhyAISKEk4w+2Zosy8lZNmpCMlUJJRIN6ggfc/48k0hKKAvpj3FOkJZl7NvTwu9VtRJLSced5SoOLc2aWoFOLlOcbmVpyYvdFysHiDjmeRklIqOz6E7ruxsMpgt4YIW+cwXY/Pbs9JMbjFKoFBlIKtiIjspRJJBwNjUpAb1DjqrczbY4Tc5mF8eEIIW+cdY+2Z5NWkxcUsfyKyUQCSe6/eSPVs5zYi0xodCpMNh1muw69SmDT870MtPlwVVoZavcD0LSyjP0bhknFJTR6Fad+ppGKqfn87dvr0BnUnPnlJgoOtlTb8HgHzS/3c+Uti+hu9mC26yisypvgofXM7c30tXhRZCiuzWO4I4BaI5JOyRjztNTMctGyfghTnhaTTUfIG+fKWxYjigLbnu9hTZ+H27tHWYwaA7BTB+OJTALsQp2Bb39zMUV5errcYVb+5nVuvXgGF80pO6FteTR69nh49g+HknQLz6+muDqPJ36TaeWnUgvMPbMK/2iUsZ4g+cUm0ikZrUHN0ovrMFq1KIrClme6yXMaaDjYqk5RFAZafWj1agqrrPhHo2x4vIPuZg/OCguV0xzMO2sS//ivDbgmWSlrsNO1y81Qm5+yBjuzTq/kqf/bhdbko2D6k+jtPaj1Xjz7zqag8XVErTs75sGNnycdnMO1vzoNRVEYH9/AmofWkwhZcFboCcVeIRW1E/dVER48VGy85KJaZp5aQdgX56GfbSaZDJFX3oqpsAO9czOiJkr/mhuJeWsRNVHslR14O5pwVVo4/XNTyTvGvS1ANJjE0x9iqKuXwZHfY63chEanYcH8ZzEYDk/AvVuCwSBz1+2m0aDlyRXzjzjND9oHuHvQw+1TKjmv8Ogtbzs6byWV8lFVdQN6XeY+qmX9EK/d20phlZXR7iCzV1Ww6Pzao84jx4khCMJ2RVHmvv39nFIrR44cOXJ8ZMiRKKIpEyhS23NGmTly5Ph4sn5oPaPRUb47/7v/lgktgAvrL+TC+gsPe3+qYyr9oX4+O/2zqMX3/9Hgpb/sw90XQhCgsMpKnsvIgU0jXPs/SzF8CD4lie4A8QPjmE8uQwokSI9G0ZSaM23FFAi91o/55FKQIbJ5mOiOMQSNiJKSQYDCr81G7TDge7QNJIVEu/9dJbVSY1HkWBptuYW0J4bhYFsrQRAwLyhGN8nK6G07iWwcRlNiJtbiRV9vQ0lISNE0kidGajRK2hPDumoSluVlE5QGglrMBi8FUUCVp0NFpm3aiaIoCs/e3sxwZ4CGhUUsOLeaVELikV9uY839B7LT6c0aFp1fg5SWmb68LFulvePFXva+Psju1wZIJSVmn16JrfCj8y57NwgakfzLGhj7wy4ErYqCqxv/rfyPVBYtJT9cBCdQuKrK04EoEN4whGjWHJbMcd+RCdw5PjOV8BsDJLoC2c9izW7yzqh639QuUlom6Ilh/5CTh+ENQ0S2jmCcW4hptgtd9fELq1QWLa4vNp2QKXyOHO8U88JiYrvcuP+0C+PsQqjN49YtPYxaNWz87RpiKQmzTk2JzcAXTqrmtEYH0e2jeO/fT95Z1ViWlCInJYZv2YyuzkbBtdOQIymSPRmVsq76/SlceWX/KCU2A1OKrcedNhhP8fm/b2NBtYOL55Rh0qnJM2hIpCV6vVFqXWY0J1gEkUhL7Orzk5YVBAF+8nQL7lCCLy2v4fIFFRi1E+9jnt8zzP+90k7rSIjlk51UFZhQiwLFeQYAalxmapwmCsw6+sajCGT8rE703JboCYACsf1eottGUWQFJCVzD6EWMTTYMc4uRD/ZjqASkSWZoXY/jjJz1pvowZ9sJhHJJGME4dDpeyClUDvTiX88jtmuY8qS4ux9k7XAgMGiIeiO4RkIEwsmiQSTDLX76Nwxdtg4554xiVRCovnVfrxDYcx2PYJK4KRL6jHZDr/GnfQpHY/9ejujPUGc5WZUWhULzq1m+rIyml/tp2lFGfYiEwMHfKTiEoqk8NivtlNSbyO/xMz+9UOUNtgx2/VMX37kRNKCc6vp3euluDaPoCdO5XQH/fvHmb68jKWX1CGKAo1Li3n9wTZshUaGOwK8fn8ri86vZesz3YRMCoiQNmuYmRJ5JRHJzvuxRAztK+384oLpdLkz71c739n1RZYTdHb9DmfBqdh75CbWAAAgAElEQVRsc0nG07z6j/3ozRri4RQAgbEYTcvLufCmOYTHE7z0131s/ldXdh5vFgBB5jq36LwaDmweYdtzPQAkImlC3hjt28aIBpOIKoGTL6tnzX2H7rkS0RTbnuthpCuAqBbpbvbQ3ezBVmikbn4hDQuKadn2KoUzN2CvewEUBa26HkkI4pr5KFqtk/q627BYGkkmvXha/k6ofz7dHQ8x0P8o7m4dI7uvzYy3GyDzt9aYQmf1kghm7g2aX+lnpCvIYJuPVDJB5Sm/oLCiAqOxCp32M+h0LmbMzKdnTxdbH67G29GEo+FlFl80h6g0SNqbjyjqGXM/TyzWSyzWj1brxGqdTr59KTbbHLSO9QiRO3FY+5k27U/s3v1FNmxcgdN5GmVlVzE89AgOx3IKC88imfSi0x2/5WMqlWL37t1MmTIFrVbLM9t3ETRYWVJ09HPh1yuL2BWMcV1LL9uDEW6uKUXztut9OHyA3t4/ZdaVtoCa6m8A0LikhHRSZscLPRSUm5m27L0lUnMcm5xSK0eOHDlyfGT0f+l6UiMjVD/x+Ec9lBw5cvwHE0lFMKqNRw1i3PDqDexx72H1xavRiLmq/BPF3Rfi4Z9vZcbKcjR6FS3rh4gGkgB88ovTqZ71/vsPvJXUSISxO5ozQegvzciomN7io6IoCumxKBEBNj3ZhVYlMKvWRrrTT8RlRL1pGNNsF6JJQ+i1fkSTGnWBEdeXZryjcYTeGCDwfDcomfZScjRN3pnVWN7WU997Xwux/eMgve35TBRQO/RI4RSiTkXRjXMRNEcOAEoHA2ZF1XmkE9IRE4eKotDd7ME3EsFg0WK0Zv75R6Os/lsLSy+uY8Yph6pih9p9jPaEqJ3jwmDRHFVlJ6VlRroCtG7ItOUxWDRc+v35RwyYvd8oskI6JaN5n3yslLQMovD/fdJi+JdbkPwJRLOG4u8tyP7etD/ByC+3ZKcTLRqUlIwSl7B+YhLBF3pwfXUW2hLzu1quIisMtvlIJ2XG+kLse2OQaDDJ+TfOoqTuwylySo1EGL19J/paO46rGz+W7ehyfPyQZIVwIs1wIEaPJ4JOo2LF5CP7WvWPRxkLxXFZ9Bi1KtQqEYNGxZbucR7fMcCmLi/RVEY5VG438scrZlNmNxDeOsL6tb284A7yGmkCKBQYNMycZGdKsZVQPM3m7nE6xkJ8ZUUd8yts1G1yE2/xosrXkxiPcSNRihH5tNZAWRKeIolPhO/9dCWCSmCoP8D9T+7HG00yXmxEoxL5wVmNFOUdaq+nKAoPb+vHHUowo9zG7Ao7Jp2ap5uHuOHBjDKlsdjKsslOPjmtiKYyG/uHg0STaWqcZmxGLSOBON95bDdvtLknrJtSmwFJVhgJxpldYaOqwMyOPh8mnYq7rppLnkHD3et7MGhUNBRZmFaWx8Nb+7ntlXaC8UP+QVq1yNQSKzv7/CyqdrBqaiH7h0MUWLTMrrDz2b9vo9pp4jurJrNqatH7epzHO/147tqTeSEKxMotBP0JxGCS0ZRMgUmNS1EQkzLqAgP2K6fw1F/3oRsOE0SgYHoBYV+Csd4grkorYz1BNDoVs5aVol8/RP6KMkreoSI2Hkmxb+0gBosWR4mZ0Hgcc76OoqpMAL9nt4fVf9tHMi4x76yqCS0D3040mGT13/Yx0OpDVAuYbTpOuXrKhHP0pn91suPFPi67eT67Vvcx2hvCNxTBaBOoW/UQCWUNWm0htrzZ5NnmYrPNw2SszW6HZ/+4m+EOP1fdshitQU0ylkZrOJSYjEdS/PXGtQDYi4z4RqJY8vWExuOMqGTutSS4cFYJn5K1XNzcA0C9SUdbJEGBWcva76zk3k09/Py5VppvPv1g68Ljk4ynGfe/xL6WGwARl/1axnafyUDfS6ilOeiNFgompdj7Wgyby8iqz09FrVXx4I8346y0UD3DSWg8zt7XBxFEUOSJ86+c5kBRyHo1ARgsGmKhVPZ1frGJc78xC4NFw/YXemndMJxV6xmtGqLBzLSW0u2ULsm0H3c5P0lt7X9hMJSSSvk40PYTJlVeh9k8OTvftc/9lt1PTbR7sBUaWPlFP7t3fo/K8u9SM/kiNDoVAwMPsv6Jjdjz59G+thSzXUfBJBnF/nNqZ8ylYfJPj7j+Au4okhykZ/BGfP5NEz5TqYwYjVXo9eVEo53EYr3IchIQARm9vozamu9QWHgm0Wgvw8OPMjB4P+l0prBGELREI3kYjG4slmmUlnyKoqJzUamOXES1evVq1q9fn1G4KrCuronW4knsXDKNQt3E/SGVCrJ7zxcpK7sKe8EqftI5xF8GPMy0GAlLEt+rLuYMZ6b4pa39l9w+4GOOdoRGXYh5c3PxrA+Soym1ckmtHDly5MjxkdF75VWgKFTed+9HPZQcOXL8B5GUkrwx8Aad/k7eGHiDPZ49XDL5Er6/4PuHBTx2je3i6heu5tpp1/K12V/7iEb870c6KfHUbbtw94X4zC+XoDNq8AyEWPdIO4MH/Mw8rYIlF35w7TjSvjhjf2oGwPWlGcf0/3nq/3Yy0h1ETitojWqKqqx0N3tYWZeHZTwGioJxpgvRoCa8eYTSHy9COMGq8niHH89f96BvdGBschLf7yXRH8JxxZTDEgLxdh+ev2b8IJzXz0Cdp0PQZzxWBEHItBiUFUStKpOY2uVhuCuA1aFHZ1KjyLDl6S6CnjhqjYgsK8w7qwqDWUPnTjejXQEqpjnwj0bx9IePOF6tQc3Vv1iMVv/uVXuKouAZCPP4rTtwlps57xuzPvBWhFuf7WbL091cecsirA7DB7qs/58Y+O7a7N/O65rQTcoEPiPbRvA92o5xTiGaEhPmg75caX8CRSXS98st5J9Uiv2s6ncVJF73SDvNr/RnX1dOd+DuDWG261hwTjUldTbUJ+D99m5RUjKjt+9EjqQo/PrsrC9Wjo+WoDeG0ar9WPjyvZ1wIs0zzUP8dnUbY6HEhM9e/uYyal2Z83kiLbG5a5yHtvbz3N7hw0STWpVIUpKxGzUsri2gwKRFAf61a4i0JFPjMjPkj+EJJzGoRU7W67nAYuL0r86bcKz1eiMs+5812defW1rFl2Qt0Q1DPEKS2zg0xslWPQeCcQCevXAmv3+ji9XuIBKZ1k2CKKBSCSyvd3HHlXPoGAuzodPDpi4vz+0Zyc5HJQpMKbbQOhxiUoGJ82aWsLbdw/ZeH5KisKjawYbOQ0F6l0VHKJ5GUhRuPquRqgITQ/4YwXiaP7/eSVKS+dzSKm57tQOzTs3sChubu8YptukxatXs6vdn52XUqogmJZbVO7lyYSVWg4aUJFNmN1DpMPHw1n6+81hGXWozavBHMwH/hiILT355yTHbE75TEj0B4gd8RLaOkEzKyAuL2NcWoK/Vl51GPFgUIaVltKJAoUZAlhUGUwoqoEAtYFQJjEkKKbVIKinTtKKM6bOcJF/vJ9Hhp/i/FhzXZ/PdEPTGiIdTuCqPr7KTZYXmV/rxj0Toaxkn7EtwytVTaFhUjCIrPHTLFtRaFRfddCjWnE6m2bR5JYqQpNB1JvHECIHANpJJDwBO5+lMn/ZHBEFgrDfII7/YxsLzqpnziUmHLX+kO8Bjv8p4c6k0IqIoZPyLDqregg0WvvyFmagHIyy4awNxFPZ8ayVrx4J87h/b0KpETDoVoiCw/Qen4RkIk19iQhQPFTfBRI+91o3DrH2ojZKFf0bnaCUyPB1z2Tri/lI0Bh8dT/+GwmnbsTX8hbT/JAY2fBq1Ro+uYAvjXU1cfctJmGw6wuED+MeS2B31vPDnPfiGoyw4r5ryhnx0JjXDnQFeubsFo03HJd+bi0ar5oU/76FzpxtTnpYrf7YY1dsKmDwDIV5/oA2LQ09BmZn8Uj09YxeSjEtMbfgLpdXH7ybR2/0kr93TjzE/xJQZV2HK01FSb0NnVBMM7sJqnYFw0Cs4mRxn3folKEqSyrKbMZiMtHf8FK3Wwfx5T6FWW46z/6Tp6bkdlcqAwVCJgowjfxlqtekt0yRwu18mENxFgWMFdvvC7PKz+1Q6wvYdtyNgwON5gn1KEW9oL+BM01pq48/isC/BbGlEFHUY9GWkpTDJhIfOrifYPjCTJ4ouo1ojs1ttwYfIOfkm7pxRhyTFiUTaEEUdKpWBsbHn6ej8NQCTJ/8Ul3MVz/lEvtnaR1RWsKkkvuVyg/8VDkQT3CtcS5MuwE3xz3LySVvRaI5flCMpCg+PjHNJUT6qXDHNCZNLauXIkSNHjo8dXRdcgMZVSPkdf/qoh5IjR47/IP573X/zr85/ATC9YDoFhgJe63+Nens9K8pXsHl4M0k5STgZpi/Uh0Vr4ZGzH6HUXHqcOeeATBDkxTv30tXs5vTPTj3MNPuxX29DEAQu+Pac97ysrl1u9q0dIuKPEwunOPWaRsob8nH/ZQ/JgRCu62Yc5ockSxl1yFhPCNckC4/9ajsLzq2mqqmA1X/bh3cwgs6oRo6nObPUiKBA0TfnEG/3Mf7gAVxfnomm7PjtiaRwktH/3YFoUOP6yqysP8qxSHliyJEUumMEm95sgdO5w32YwXtBuZm6eYUMtPoQBOjbl/ESszoNOEpM9LeM46y0UDunkIZFRcTDKaKhJLFgkkQsjaPEjLPi2EGKE6Vtywir/9bCrNMqmH9O1TED1UFvjMEDfpLxNOmkRJ7TOMGEGyAWStK7z0vdnMLDAj13fu11UgmJkjob531zVk518xZkSSYWSh1RMTf+aBvRbaOgFjBOK8B+6WQEQcD7z9ZMUPX7Cyasy/6WcVbf00IsmEQvQGWpiRmXT8Z5Am373iQZT3P3TeupnOpg2rJM5bfNZaR10zCv/n0/igKlk22c+/WJ21FKySCC6n1IkPqf7iS8foiCa6aif48eeTneH8aHIzz0sy04Ss2ceX3Th6LwfDuKopCUZHTqzLlKlhVCiTS+SJKvPLiDvYNBGoutnD+rlKI8PU6Ljqv+uoWkJLO4JqO82D3gJ5KUsOjUXLmoknmT8hkLxUmkZVKSwkgghkWv4YvLqrPLAeh0h/nTmk7GQglcFh1Laws4rbEQk049QWH8Vu54vROAIX+Mf2zsZflkJ0atiuf2jDDHZeH2z87j2d3DPLN7mE53mNBBhZMAXO6y8ZmzGwg92EpKr+Ylm8jd3WNMLcljz+ChVqOnVDn4zcVN7PFG2NI9zubucUry9PzkvGlY9RmVQzCe4tcvtLKh08vyehcn1RXQPhaidSQE43E+X1fIlFMmKoL80STJtIzLqieRltCqMsUb6zs8XPnXzahVIr+/bBazKmzsHw7xvy+3oRFF7vvcArRH8Qnr80bRa0WcZh33bOihfzzGF5dVU2g9elHLO0EKJvA/141n+xgjKZlRUcQTS6MooDOpmXlKBQc2DxMLpqibX0gslCQSSOIfjWbb1U3SiahLzbg9cQLBJAJQ5jRQ59Tj0Ioke4IIWhHLygqsy98/H6H3g1RS4olbd5CMp1l0fg1DbX52vzbAKZ+ZkvWGAggEdrFt+4U0TrmV4uLzgcyxFYv1MDT8KL29d5CXNxuLZSomUz1b/llKYEzmUz+ajMFQkp1PJJBg56s7aX4xStWqH1JTcwObHyoj4k8gH1S0q7Ui+SUmTv1MI9+9fSNjssTjt5yOIAisbXezrt3D5u5xZlfYua6pjEd+sS3rDZWIpnj6980U19qyRVZdO908f+ceiqvNWGZeTXRoCYbU13E27CYg/Q++ztkMbbmCylNuYfqCTzE68jTD7TCw9usA5FW/wZJLnITDBxgbexat1sniRa/RstbLG/9so2aWk/oFRax54EDmOmrScPZXZ2QTjIlYmvtv3si8M6uO2rbxrYyOPsPefV+jqelOnAWnnNh2TAXY13IjtbU3YTbVHXf6ZNLLjp1XEI32oCgpbLYFTG28Fb2+5LBp0+k0zz//PKOjo8yfP5+mpqYTGtPx2LBhAy+99BIAfoOJh+eegiIIKILAFE2QS5M/p452IpiREBGQERDppYInuJj9wjQA5qrauNSl4yRzlID3VcZ9G5Dl+IRlGQyT0Gmd+ANbs6/jgoX+qJ9f8328wqEuEzpBIKEo3KJ8i5PKllFf/4Nj/o6xRIrf941y14CH+5qqOdVx/MRyjgy5pFaOHDly5PjY0bFqFYZp0yn9za0f9VBy5MjxH8Ie9x4uf+5yzqk5hxvn3ki+Ph9ZkXmy40n+sPMPjMXGaHQ04tA70Kq0LChewFnVZ2HRHj/QrygKiWgavenE2puMdgd59d79WAsMeAfDoMCUJcU0Li3BlPfR+vjsfKmP1k3DqLUq1BqReCRFWYOdhoXFFJQfO6HTtdPN83/ekw0cvJ2NT3Swa3U/l/94wXGNo4+GlJLpanbz8j0tmKw6Klx68oYj+K1aFp5bg/e+/VhPr8S6MrP8ZCyNdzDMYJuPnav7ScYywT2VRkQArrxlMUarlnRKomunG7NdxxO/2clpl9VTPcNJXIHND7cxudsPagF1ng7HVY1oCg8lzKK73SR7g+SdWY0gCvj+1UFk8wiFX511WGLt3eIfjfLcHXvwj0RYeH4NTcvLiIaSeAcjKLJCVVPBhJZ540MRFEUhv8SUUXsdJTj6QbHm/lb2rR1CrRG59AfzseTrUb0tIJlOStz7g43Z1pRvUjvHlU3apZMS7r4QkUASZ4WF8745K6smC7ij3PeDTdiLTfiGI9kq8g+aZDzNaFeQSCCB3pw55hUl859KIxILpYhHUtTPL8TwDpVAiqwgy8qEdSXLCt6BzD482OZHEKBiqoNUXEJUCaQSaRIxiUXnVU9Qxu14qZeNj3dy4XfmUPQ2Px1FUlAkmdBr/YRe6yfvrGrMS0oyfjy1Nhyfapgw/cM/30oimqJpRTk964cYHIqgAI0lRk7+zlxeumc/gghNK8sprsk74r626+U+1j/accTxJONpdr/az+anull6SR21c1wYrVp2vtTHtud7KJxk5ZyvzXxP+7AiKQz+cD3GGS7yL65/1/MBCPviSGkZk02HSiWy+7UBBlrHcZSaKSi3oNGpMFq1JONpRroC1M5xHXbOSyclXrhzL/7RKBq9KvMdi5aa2S7q5hUeZckfL/yjUUw23btq/xlPSQz3Btn2SAe+0SiKAnqjmjO/3ERB2fuTYD8WiqLwj429vNo6RvOAn3A8nU1EdXsiyAfDZYIAt182m09OK8qqPAB++K+9PLxtgIZiC7KSacd3WqOLxTUF76s66Hjcv7mXH/5rH2lZ4UvLa7h+eQ0W/cR7kV/duZUnutx8ym7la99ZgiAIRJvdBFf3MuiJcKUQodyk4xMqLSuMBkrmFJJ4phuVRYtpXhH6WjvaCgupUITYTg+6MhtKSia214MiyeRfOhk5lsb3aDtSKAmSTOqgp5DrKzPRnuD2XHNgjHyTlqayicnyo12/FEUh9PoAhin5E67JR0MKJxG0qqzqOX7AhxJPY5zpQpEVEt0Bkn0hkgMhBFHAemoFclpmw+920h+TCB1MqOSXmKhqKsBRasZRZmbX6j72bxjmtM82Uj+vaMIye/Z4aN82Sv38IiqnZjyKQn1Bxm7fhU4UEM0aVFYthiYn5vlFiCfYJu/DpmP7GC/etTf7umJqPmd9eUb2viMWG+RA282Mj6/npKVb0GgmBu0VRaG75/d4vW8QibQhSRF8HcsY3fFp6s76FYuX34bZPJl0SuKhn23BP5pptzf10u8jKWMUOr7E/ueWEY+PEg+LJCOZhGXZZDsnLy1CiqQpOEoy8LV799OyfhhrgZ6qGU46d4wR9mUUjRd8ew6KLPPUbc0UlJk57TobWzafzdRpP6OkJONHm0oFeOb3B/CNjnHWjTpcrtNQFJnu7j+w7oE4gpii4ZRugpFXEUUDhYVnMTz8CLU1N1FW8jk2P9VFy4YhEpE0Ko3Iadc2Uj4l/zBlvCTJGaXfEfZ1SYoxMHgfsdgAicQIweAuVCojixa+cpi66f3E632DPXtvoKrqBirKr52wLFmWOXDgAJs2baK3txcAh8OB1+vl3HPPZdasWUecpyRlWq+qVMc+T65bt46XX36ZxsZGpk+fzrMpkVu9Mb4z1s4mX5gdkyYT02mZovGzN1VwxHlcK9zL1eVl+L0vEw63AqDXl1FQsBK7bQEKClI6Qii8l6LCc7BaZxII7CAQ2I4/sINQcA/FJRchKSo8+sWIxgbiikKtUc9Jm1tZqe/i8siNWK0zKC/7DFqtA4tlGhrNoXuc/eEYZ2xvIyYrnJ/n4/+mNaHVOo443hyHk0tq5ciRI0eOjx1tS5ZiOfVUin/8o496KDly5PgPYCQywnWrryOUCvHkuU8elqgajYzS7G7mtMrTjhs0jQaTjPYEKW+wo1KLtG4aZsvT3YR9CWasLKdsip2QN05hlRVHmRmVSkRRFIKeGAF3jPYto3TsdKPRiqi1KpwVFlIJif6WcURRoHq2k+VXNKAzvPs2cO+WoCfG/T/ahL3QiClPRyopodaqGGzzIacVnBUW5n5yElUzCo7oOfTSX/fRv3+ca3615Iht5yL+BPfdvJGSWhufvG46aq0KSZKPqMAI+xKse6QdQYBTr2kk5I3TuXOMlvXDBN0xdFqRc04qJrljDAUQ3vJoU/y9+aisOgLuGE/cup3IwaTJpOkO6hcUMdYbYtfqviMm32RZ4W/fWkv1LCdLLqrjiVt34B0Mc0ahHk0i8yAu6NUUXN2IriqPRFcA91/2gKygLjSCrJD2xDDNK8J+wfErYU8ERVF46GdbiPiTrPr8VMoaPv4KEykls3N1L5uf6gbAkq9n6cV1xKMpUnGJsgY7e9YMsG/tEJ+8bjoltTZUWpH7b95ExJ/AmKdFZ1Cj0ojoTRoqpjrY+HgHlgIDZpsOlUYk6I4R9Ma54scLeOkv+xjrDVEzy0nVTCc9uz3MP7sK+wkkFWVZIRpIYMzTIR3Fn2ukO0DXDjeD7X7cfSEU+fjP0gaLhlOvaaSi0YGiKOxfP8xwpx+jVYvFYcBaoCcWSnFg8wj+kSiJWJpkPI1KLbLssnrMdj0t64fobxknEc0kY/OcBmLhVDY5+1ZWfLqBxqWHKqjv/+Em/KNRBAEKyi3UznFRPiUftVbE3R+iuMaGIikkn+8mvt+LdVXGM8t+UR2muYcCs/7RKPf/cNOE4yWw18u6+/fT40tiEiEig0anIpWQcFVa+OR1TZjtmQR92Bdn/4Zhtj3fQ9nkfJbPc6LE0oh6NdHdHtKeKIVfmQUmDQ//fCvjQxEAtHoVybiUHcep1zQyecHEgPE7IeWJMXrrNuwX1WOae/ykkaIo7HypD3d/ZnsrciaRGg2liIWSWaWkSi0ipWXyXAaC7thhbecgs90u++ECVOpMe9CxniB71gzQtmWUmllOJEkhlZAIumOExuOotSJGq5bCqjyKa/Kom1eYLZqIBpO0rB/CPxpl/tlVH0rbzWgwyWh3gPHhSHb7FNfaeOOfbVjydZz22ankFRjY8FgHAU8MR6mZPKcBm8uIdyjM+FCEdcN+XouESYqgFgV8aQklLfOFtAnXimJ0eTq6nuvDnFC45meLj1oksr13HL1GxdSSvCN+fqK8sn+Uz/59G7UuM3Mr7Vj0ata2e7DqNSyozsdm1GIzaJhcZGFa6ZGXJcvKhETXiZCMp1n7zzZCvgQoCjqjhlQijaPM8q5b827tGae5389nl1Yd9R4m0RNA7TSiett6je7x4L6/BZUgoK2wknZHkaNpNEVGBL2aZG8QFEjYBxmY/ht04VJKd3wTAQFBr0KJS+jq7Uj+BOnxOPpaGwigytMR2+NGNGpwXT8T8X28p1EUBRSINbsZf+gAulobzs9NP/Z30jLDv9wCioL1tElENg+TGs7sy7p6O5G+IOqD55ukRkQlKQg6FeMKrB+JUVBiom5REZWNDvKLTUSDSdY/1kHH9jEApi0r5aRL6k448e5/pgtFkrGdU/OxUBgrigSI+APbkOUEKlGPIGoQBQ1GYw2iqGXwgA+dUYO1QI9KGyedDhEK72ds9DlGx54BBKomfZmqqhsOm78sy7S0tDA4OMjcuXMxGuOM9h3g2d+Bc+qrNCzz0NR0B5uf6mTbc73Z713/pxUcaLuZwcEHmDb1j+zd+w0GN1xPaLAxM4GQ5sJvLzisUOJNhtp9PPV/zRitWkLjcUS1QEWjg6JqK5ue7MpOZ3UauOg7cwhGXueJX0TJK7Cx4OxGNFoVkUCCV/6+/7BWibKc4PU35uB0nkrD5J8yPPIELucn0emc7Np1DeO+9UyZ8mtczk+gyBo6dnTjS92MrWASNdU3Mjr2LLKcQEBFvuOkY6qnhoYeYX/rd1Grreh0Reh1RVRWXofdvuAdbecTQZYzRmCimLk3f3tSORgMZpNZXq8Xmy2ThG5sbOSUU07hvvvuo6+vj2uuuYaysomqs7GxMR544AHy8vK4+uqrs8t4k3Q6zauvvkosleKpjl6aKsr43FmfxKTRcN2+HjYHIuxY1Ijb7eYPr7zOn4sy62xuz36ceh3BUBhFEFhaV82ZU03U2GuyrRLD4QMgiBO83d4L3z7QzyMj49xb3op67C6i0W7WcArzbPlUFH2SX3V20SUVMaC4MBPmeuV/aWQvc2b9g3z7ove8/P8UckmtHDly5MjxgSKFQojm47djeiutM2Zi//QVFH772x/gyHLkyPGfylh0jMfbH2c4MkzzWDNjoz6mj53MvNhKzv/KPBxv8zQ6UYbafTx9WzPpVKZCX2/W4B0IU1hlxVpgoH3r6ITp1VqRJRfW4hmMsO+NQSDjXVQ9y8n8s6qw5B9qjeMfjbJ37SDNL/ez4Jwq5p5xdBPv95toMMnmp7ro2e0hGU9zxY8XYn6LF1U8kqJj2yi7Xu4n4M4ELOsXFDKwf5xIIInOqEYQBEZ7gkxeUMSKTx9SeSQHwwSe78ayohx9jY29rw/w+oNtuCZZmXZyCWsfbueM66YflqhZ88CB7E+G5BwAACAASURBVDozWrVEg5nElKvSwsxlZVj2jJHuDmJaWIzp5DJ2/H0fo11Bpp1WQc05NQC88vcWOraNMfO0CuLhFCddWpf1YxjpCmYUJUcISD73p92M9QSxF5sYavNjdRqoT6YpVhQCUwvIHwkjBRLkfaKK0Gt9iEYNxhlO4p0BVGYNKpsO64ryI1Zcpw4qj4qrj7zsI9HfOs5T/7uLlVc1MGXx4W1fPs48fdsu+lrGUWtF0kn5sM8bFhVxytWN2dcj3QG6d3mYvaoio9x4SwC2bcsIrZtGkFIyUlpGVAnMPWMSFY0OUkmJ5pf72P5iH+mDyUeNXsVZX5lBSe2hqv9UUmLHC734R6NYHHpSCYmxniBjvSGMeZn9TKNVoZDxRnGUmtCbNHTv9iCqBAonWSmps1FSZ8OSrycRSyMIAoKQ8eZIRFPZcb98TwvjQxEaFhbh7g/jHQxjsGhIRNPZFkqQSXgUVlvRGzVojWoGW30Md2bagOlMaqpnOimtt1Nab8Ns1xOPZJRgRqsWWVIQRIFnft9MwBPjtGsaCfvixMNpNjzewZQlxZjydPTs8Rzmp6YzqhFVApd9fx7Bf7SQHAzTm1TwVVjQGDWIqsz+6RkI4x+LcdUti7OJKsgEul760SY6R2OUaQXmNebjaXCw8YlOTDYdRTV5BMaijHQGUJRMZf/Jp5QT+kdLdh5qh560N47t/Fo0TiOyWiAowXCnH/9YjMJJFurnF/Hor7bh6Q9TM9vFkotqJ5w7T5RYixfvP1pwXj8DXcWxW//sfWOQ7c/3EPYlsDj0qDUigihgsGgw2/SZ1omFRsK+BIlYGldlJmkYj6SIBpKkEpnjPOiJUViVx4t37aVmlpNZqyrZ+/oArRszfkWzV1Ww6PxDiYw3fWxC3jjRQILhzgDRYBKVWqSw2oLBrKO72Y0sZdR8ggCzTq9g/tnVx/w9iqwQC6cQBDBYjq4e9I9FEUUBi0Ofva8PuGM8dMsWUgcD/mZ7puAhEUljtusQBIGwP4HRoiEWSeEst+AbiU5IvEbVcIcpRoFajVMQkRQIJdMMqGSq8410jUez0xpl+O3Jk1nxiSr+srabBVX5zJ2UuT60jYY4/XdvADC1xMoZ04upyDfyzO4hXBY9n5pfjoCAShRQieC06MkzHH4eDsRSXPDH9UiywupvLkPzAXv/vZUX7txL1y43RVVWECDkjWdVI2fdMCOr5vkwSY1EUFm1iEYNUiBBajSKdpIVUasiHhiho+W3jEafQECDIiQo11xHReHn0NXk4X+yk9g+D6o8HdZTKjBMO6SYeLPoQzXTieuCusPUuu8EOZoivGmYZG+Q5EAYJSWjSDJICmqngaIbD4t5ZpGCSYKv9RHZOJx9T+00YFleTrR1nOA+L+MJiaBJy7haIBaXMQYTLDSr2ROV6Hrz2iVkRMS2QiOxcIp0QmLaslKaVpa/q3PSh0k8PsTAwH2kUj5kJUW+fRE6XTF+/1b8ga0EArsQRR3ptP+w75pMdeTlzaak+BIMhgr8/i3sb/1+dlqVykRJySVYLRfg8cgkEgnMZjO9vb34/X5CoRCBQIBgMAhAUVERV1xxBRaLhXt/sJGgO4Zz+lMsO+u7PParfZiKdxEezKh8vnzHSiQpxtZt5xONdqMoacaaL2L8wCoANCY/BcWVaHQqrAUGll02OTtuRVG49783olKLnH/jbPyjEQrKLGgPJlh3vNiLoiiMdAVZcmEtceVl9m5/kANPf/6wdWC267j8xwvRvM3zUZJiCIIaUZx4ngkG97B123kA5OXNQa22EAjsQJIiKIqEIGhQlFR2eo0mn8WLXkOtzjyfxGL9tHf8Ep2ukMn1N7Ov5Ua83jc4aemWDywJKssye/bs4ZVXXsFoNHLFFVdgMpkmJJ7Gxsa46667SKVSFBcXs2TJEqZMmTJBdRWNRrnzzjtJJBKsXLmSsrIyiouL6erq4qGHHsq0e01m7ulPPfVUqqur6ezspKOjI6v4ai2sYE3DbCBzzC21m1nrC3OOy8adUycB4Pf7ue7hf2EP+ZmfbyWVSlFfX8/MmTOzibYPko5onDO2txGVZE5zWGlQe/jdiBazEsRKgHHBRZN2jBp1gNON/cxyTsVmm4dO50IQPn7+kR9XckmtHDly5MjxgSAFAgx89WtEN2/G8YUv4PrmN5D8fuIH2tCWl6EpmRh4ix9oI9G6H9OSJbQvPYmCr96A8/rrP6LR58iR4+NIPJLKBrHj4RQdO8ZIRFM0LCo+4bZ84xEfX33umwy4h5kUa6BxfDEm76EgS0ZFMJ1YOEV4PE5xrQ13X4iSetsxPVs6to+x5v5WDBYtC8+tpvnVfmKhFPPPqqJ2rguA0Z4g0UCSgjIzoz1B9q8fon9/xkC8YqqDaSeXUN6Yf0yPoX/97078Y1Gu/OmiI6qd3iQZT+MbiVJQbn5PXjOxcJInf7uTgDtGab2NBedUH9VEXJZk2reNse25HvyjUfKcBvJLTCQPekuIKoElF9VRUJZ5KI/sGMX3eAekZUSzhsKvz0Zl1tK1083qu/dlkxyOUhOXfH9+tuJdSsvc/Z11NJWZcAYTBBAw5+szgdZAgmRfCIC8M6qwnFyWHdtjv96OfyzGlEXFuPtDDHf4mba8jJMvfWetxobafTz5u10ossLKq6agyApr72vFZVIzFEljMWk4qUCHJpBANGtwfrEJzQm0U1QUhRfv2kvnDjfOCguf+OK0Y6os4pEU257vYferA+hNaq66ZTFq7Uf3IPymSbt/NJoNrButWsx2PWWT7ag0Isl4GkXOqA/e/A3u3hD5pSaC7hgmm45UQmKg1UflNAe2wkPrLeiJMdjmQ0orbHm6i1gohd6soaDMzMLzaoiFklROc0ysGPbE2Pv6IMGD6kizTUfAHWXSjAKevq2ZaCCJ3qRGb9GiUov4hiLIsoLOqCaVkNDqVRgsWhylZnwjUapmFJBKSAgCpFMynv4Q0VCKyqkOFp5XTcgbZ/eaAeasqpwQ+D8SqaTEukfaaVk7hKvSwrRlpTQsKkZRMqrFoCeGLCmUTbZPSHCmUxI9u70ATGpyHPN88SbuvhAP/3zrhPfUWpFL/3s+NldmHUcCCQZafXgHwuxc3ZedTqNXkefQI4dTjAeS2AqNCKKQVaNpdCrmn13FpOmHt/dRUhJyQiJ+wIfvkTbMS0oI1dpZ/2gHsVASa4GB0sk2piwuIc9pwHPPPlJDYfIvb0A0qFG7jIz8aisoGd8aTZGJwq/NnriMtEw6LbPrlX62v9CLKAqc/63ZOMvfWYu64Jp+gi/0UPKjRYj6o6tGevZ4ePYPuwEorbdxztdnvWM1zoTxKwqbnuxi95qBbMJ1+rJSZq2qPGYgvHevl9V/20cilgYF9CY1gihQN6+QaSeXZrxjHmqjv9XH1b9YjClPx0hXgJb1QySiaUSVQCyUJOiJE/bFUQ7G5bVGFdNOKmPR+TUoikI6JaPRqvCPRnnwp5uR05njQ6tXI6gETHlaPANhzry+CWd5JiD85j6aX2LClKfl9Qfb6Nvn5czrmyiutWVau0VSeIYj/HPPEH/Y0gPAmm8tZ1JBRj0ZD6d4ctcA//3cfmpdZm45fzp94xH+66HdCIBer8YXzyTirllcxWmNhdz02G6GAzG+cHI1Gzq97OzLBNULzDq8kcRhKjmTVkWhVc/J9U5+eHYjgiAgyQpX/nUzW3vGufsz81lad+S2VR8EkUCCe25az+xPVLLovEzxhaIoSCmZh3+xjfB4nLq5Lkw2XSYxXG0lv8SMlJZRqUUUWcE3GkWtEd91C9+386YKQ1FkAoEdhCNtAKSSXlLpIENDDyHLCUpLLmNS1Vdo3X8zHu+LlJdfS23NTYhi5lhSZAXfSBRzvg6tXk0ynqZzhxvhpR7S4RR7bXpO/cyUd9VaUknLjNy6DSmQQO0yoi2zIKgEBK0KZAXfjmYsn3KR8oXQGYrJnzkTgHi77/+xd96BcZR3+v/MbO+7WtVVr5ZkyXK3MZhiUw0hEBICBEjvCVzqXcqlk7uUX+6SkMCREFJoARPTDQQw2Lh32ZZk9d629zbl98faMooNmJZwOX3+s3ZmPTM7M+/M+3y/z0Ns+wSpLj8okHboKf7EAvSyijbfhG80xjN3HiHsS1A5Px9ZUsgrseCpd6KoCiN/6qInKaO16lhxeQ2xUBo5o3DohVHMDj2Xfa7ttLqB30qOZ1QpqoQoaEmlJlDVLFZrIxqNheMtpBqNGUHQIElRurq+ybR3IwCiaERR0qjqcdFZxGZtwmprI5uZxuFow+FclltGyZJOT9Hd810UJYMgaGfWy2QcxGNLyctrwmxeTnd3H/39/bO2VaPR4HQ6sdls2Gw26urqMBqN3H///QiCQHNzM22Ny9i1fpDQpIzFHSYVE1l+/WZU/+ex5RlpWJ7rzo3FjrJ7zxUIgg5/z1Im91yf23ptFkU6ISg5CkyIWpEF55VRXGPnzz/YzXnXN2JxGShtcKLVaQiF9qAoGfLyVs2s5/U+Q/uhzxDqX8Xkng9xxRcWoTdpyWZkpIyMs9CMPf/1dcX6/ZuJRg8zMPhrjMZSnI7FFBdfgaKkGB65i4ryD+NwLCEa7WDf/mux2VooLr4CSYoxNHQbipIBVEpLr2ds7G4KCi5mQeuvXtc2nA6RSIQ///nPpNNpfD4fxcXF+P1+rFYriUSCq666ioaGBmRZ5ne/+x2BQIDrr78ej8cz6xkooygcjaeYzkg0ZOL8/re/nbEabGpq4ujRo1gLCqm45F0k+nuQhwZmRCzIiZ3BYJCmpiaeKK7hhQz8ZF45nfEUfxzzEZRkfjKvjBs8J+7Zk5O5ApGioqJ/SMfjVDrL7SPTPDAZxJ+VcOs0+LMyAip3NBXyruK5TOY3y5yoNcccc8wxx1uOHA4z/JGPku7uRltYSHZsDE1+PrLPB4C+qoqaxx9D0OZedJLt7Qzd+EHUVAqN243s91P09a+Rd+ON/8jdmGOOOd4CVFUlEclgtuvf1AvF4c1jvHjvUeqXFiKIAn37vMhSbhbOaNHhKjZjsOhY+8GmV7Ql2tVxkJd+PYJBOjHZ4yqxMG9FEQ3Li/EORXn6N4dRXmYdZrBoScclHAUmahcX0ra2HLP9RCV7MpbhxXuP0rfPS2GljQs/1oKj4PRebGVJoeOlcWRJofWcMjS61xafBtp9PPnrdmoXF3DBR+efJFh1bB3nwLMjBCfjoELzWR7qlxZSOs91yuMfmkqQSUkUVNhO+jwVz/LIf+8nOJngss8uOG1bO0VRCU7EcZVYXnGyN/z0INFNIxhqHNjWVOC78xDW1WU4j3WgeUeibF3fi9tjoX3TKCuvqEFVVBLhDNPDUaYGIlxeY0MIpNDY9blSTQQEvYjWbUJJShR8vBXhZZXfEX+SJ287RHAiTkGFjZI6J0svqZwRWF4PvXunkTIyjWeUIGVkHvnvA0z2hzn7mgb6D3iZ6AoyL09P8weaKPqbyvp0UuLwi6NULcjHZNXPnE/duyb56+86cJdZifqSSJJC/dIi2taUU1CRm+jr3++lc/sEgYk4EV8y9xufWcLii6tO+7x7qzhewTxw0MtIZwDfSAxRFFDhJPs9g1mLo8BEaDpJNi1T2uCcsQJ8JUE6NJ1gaiCCbyTKWHcI70h0xtKtsNJG7ZJCwt4k3TsnZwRQm9t4LIdCJZOSifpTCAJYnIaZbgcArUGDlJbRGTXIWWV2Z1ShibA3d2wRoKTWwUUfa8HiPLGd2YzM4RfG6N49iavYwgUfbqZ79xQv3NOFlFEQBMgrtXLlFxe95vklHbPxfLvp2DpONJCicWXJMVFC84rC+OEXRxk9GqRplYehw37C3gSpuETjyuKcYPIGRJzQY33Eto6/or2fKiuMf3cH5sWFuK440Z0U3NBDfOckolmLkpTwfPuE6BTbPk7oiX6MdS7yPzSfiC/JX366D1EjcMknW2eum9Mh8MBRUj0hPN94ZbsmVVV58D/2kE3LvPdfl6DVa95Ud8nLySQlju6cxDcW46z31Z9U8f9y9mwcZOej/bg9VtZ+sJH1P9rLgjVlrLqybtZvc9wacuH55agqHHx+BINJi1afy3bT6EREjUA6fqJrShCZGTuGjviJBdOU1DrIJGUiviQrr6jBPx4nOBFnojfXMXg61o+qouJPZPjygwc5MBIikZbJyLnrtqbAwvlNRXx9XdNJ6/VOR3FbDLgsufvkky8Nc/tjXWSzCg1okRtsPD6Ye78oMOq4ud7Dtdc0o9GIjIeSDPsS1FsMjEsSY+FcDo+sgKQoPHlogkFfgqNTUd7V5uH7757PA3tG+OGTXfz4qgVcvezUGTx/SyKS677bs3EQg1FLca0DT71z1rPCy4+DqqqnvPa6tk/w3B86ufrry046d+OhNM/+vgP/eHyWvaXBrJ2xHz2OwaTlfV9fipRRcBaaX/XZ4vi83/FsxfGeEAee6yaR7KKkbQeS5iUsljrSmWnS6cmT1i8ouJC62q9iNlcTD6e573vb8Sxdj6FoI3JsIZrwv9F8Rj2b7u4iOJnr9CusshMLpogFkzQueYQCyUZXrJhkQqRpVSWeqlYMBvcpr19ZSjG660GkUAIhYkA1ymQLJ0h2ePEsugJrYwWp9ASCqmO0vYRY6G6SjjtP7K+kw1NwDfmJtWQeA9WoYUyBvkiGUCrX4Wtz5zpe03EJrV6kZmEB3bumcJdaCE0nkbOzu4rP/3AT81acyGuM+JIYzNo39GxxukSjnXQd/UbOClBjQaMxo8gpkslh0pmp11zfam2mrvarDA3/D6HQbooKr2NyqhlFtrBixTL6++9FEJz4/PkM9E8wNjaG2+2mpKSEuro6mpqa0Ov1TExM0NH5Ent2b6O5eRoEF/39EIvmI8vijFWdw+Fg8eLFzJs3D4PBQCAQoKSkBLP5ZPHV7/eze/du9u/fjyAIvPeSG3n6tlzeUeXqv3Dx+/9jxjLu5Xi9f0WSYhzZ9RxHN74HrSmAlMzDmqfFWvkoyG4yvjVo9RqmByMz187lNy/k0Z8foGlVCYsvj7Plqe+BVMS6a25Ho9UQiR5m795rMJsr6d28iMjgGXzqF+ve0Dh4KlRVedXcq0AgwLT3HsLhp2ZynwoKLqKu9iscOPgRkslcEUpD/bcoL//gG96ORCKB0Wg8yfLvmWeeYdu2bRQUFLB69Wpqm5r51oEuQttepDzoxel00tLSQiAQoKOjg6uuuorW1hN2n6OpDM/5I/xn/wRBKSdi1ZoMfMppoFGQeLpngJ3TAUIlZQyabGRVMIkCP24oozk4hSLLVFVVYbPZkGUZURS5dF8PRlHkL4tyzwppRWEklaHaZEDzDrDr/FsyisKmQJRqkwEBsGk1FBvemfl4/9uYE7XmmGOOOeZAVVXSXV0gCIgWC6LFgsZqRdC/vgBzmC1olf7i51hWrsT/2zvJTkxgqK1BlWS8//VfON//fvI/+xnUVIrBa65FtFgo/OIXGPvCFwEoueUWnFe9563e1TnmmOPvSCYl8cSv2hnvCeEoNHH5zQtfd75HKp5l1+MDHNk8hiKraPUioigwb0UxzatLEQTY9fgA8VAa70iU/FIrl9+8cGYyQc4qdB8dYVPXFqZ3Z3HGi2i5tIjq4nKchWbyPJZZYs70UISxoyFsbiPTgxH2/3UYo0VHfrmVsaNBNDqRlnPKMNv1NJ9ZwrN3dTDcGWD5ZdUsuqDiVbun3ioOPDvM1vW9lDfncd71jdjyjKiqypHNY7x4fzeFFTYqW/Pxj8boP+AFcjZWRqseUSOg02uobstn9xODHHphFMhVrzasKKa6LR8po2Bx6nn6jsP4xmJc+ukFVLwFlkeqqhILpkke9rF7fS8BrYjVY8HiMtIgquj6w7ivb0LjNMyEusuywh03vTgjOhgsWiwOAwtXlWB7dgj7RVXYzzu9icfj23DcmuutJJOSCE4kKKq2o6oqIx0BXrjnKJmUxKWfWUBeqXUmB23Pk7kJachNSF708RbGe0K0bxrFVWzmPV9ZQiyQyoXL75hESsusuLwaT72Th//rAFangcIqG+5SK1UL8l93R8pxQtMJ+g94mR6M0HxmrktQVdRj11luQl1VVWRJmdUNpMgKh14cY/fjAzMdH8U1uUlcRVZQVVh4fgUGs5ZkNIPv2HkY8SXRGbTklZjp2+8lPJ0EAVxFZgoqbNQuLsQ/FiPsTZKOZxk87AcVRK1AcbWD0nkuqhfk8trcpSeu271PDbLj4X5qFhYgiAKKrCAIwsx6la1unIVmktEM/vE4/rEYUX8Ke76J+WfnKom9w1H8YzEySYmOl8Zxl1ppW1vOSGeAPRsHmbeimDU3NBH2Jul4aYwjL+VC3U02HclolrJGF6NdQTz1TpZfVk3XjokZC7nyJhct55RR1er+u9wf3qmosorvrsOkB8K4r22cZUMGuUwf7+3t5H2gCfPLur7kSJpUVxCNy4DvzsM4LqtBjmbIDIRnujIBCj+7EH25jYENvTz/7AgYNNzww1XHRM4TBCfjTPZH8A5FGD0aJB5Ms2RxAUXDYfQeKwUfnZ29k05k2fnoAMHJONm0zNRAhHOum0fL2f+YCuupgQjrf7SH+qWFnHdjEzq9hkd/vp/gVIILPjwfV7F5loXg0789TO+eE7k+TWeW8NCP95JXkuuiNdn0VLflU7OwgE13dzHRGz5mrwm2PBP2fAPJWJZsWqakxoHNbcJZaMKUb2RPh5d4X5TURIJs8limIKB36om1OdgTjhGIZ5BkFY0oMB5OksrKvGdxGXajDqtBQ4XbwrsWlLyuopdsWmaiL8T+Z4YZ7QriusDDvukInoNRDAjMP7uUc6+bRzyU5olft+MdjuIqNlNUZcflsdCwrGjGQldVVX61qZf/frYHl0VPIi2xssbNb25cQufWCaYHI0SDaURRYNGFFbhLrcRDaaSMgiwrZFMyz/2xk2QkgyCAqBWRswqiKLBgbTkVTXnY3EYsLgPbN/TR8dI4oOIqtmAw6zDbdWTTCjq9SDSQ69D80I/ORBAEAhNxju6YZKIvRF6JhZqFBcSCaQITcQ4+N4LOqCGbkhE1Ao5CM6lYhmQ0O+tYmWw65q8uJZuWCU8n0JkyjPf6ySuLUb3cS//OMjLRPErP+hG+AQeKmsDgGkZnCqMqGkiswlo8gtlcTVHhpTidSwEB/7CWLQ/0YLSY8NQ5KKl3cmjTKAMHcwJjXv1WCtr+RDpSwuBfv4nFbmLppdVEAynGjgZBiFJ33jb80d+d9PtKaSvx8Vbqmq+hZfk6or09RI4cRZD0DDr+k7RuZPYKqpA784TZYlMmVoDe6kUdX0t12aXIqsD2jVESSTsF8x+jLLqEfX316EwaMkkZjVZAlnN5XMftVY8/e1S1uln3mQUoksrUYIRMSiKdkLC7jZTUvf1WZrP2K+Nnx86LEQUdNnsrshxHluKIGiNGQwlO5zK0WjuKmkWndaDRmIjFu1HkFAgCshRnYPCXx75NQyz6bg4etKEoyoy4eRxBEPB4PFRUVLB//34kSUKSciKq0+kkFMp1QxqNRlKpFCaTiZaWFpYuXYooijN/d7vdJ4klr4XX6+W2226jpqaWtur5BOO/Y9EZn8Jma37V9Q4d+BFb7lhIYdsGpvZfzfxzReTCjwKw5rweQKBn9xRb1/dizzfRco6HZ+/qRGcEZ+1zeI+sBaDhDDMrrrTQ3v5JEERE7+3sf2qagmqRq//13Ne1L2+U9vZ2Hn30UUwmE5///OeRpNz9w2zOFYDJcppMZgqv91lKSt6HTnfieTAUCvHoo49y4YUXUlz8ykUHqqrysfY+eru6+EZFPheesRKAVCrFY5teYGvnUaT6Jl7KKyUsyaQUBRXI04jc7tbx4l/Wo6oqGo2G+a2tTCxcwbl5diRV5VfD0zw6HUIBFtrMfKq8AFEQ+OnAJN2J1Mw2CEC92cBat52zXTb+c2CCg9Ek36wp4XOVs4tgJEWlbks7HyzN57t1/2SdToqSG3znOG3mRK055phjjv/jqJLE5Pe+T+iBB2Z/IAi4rruOwq98GUGnQ45E0NjtCJpTV47K0SiBu+4iuukFMr29lP7i59jOO+/k/09VGf/Sl4g89TQahwPRZEKJx6m8/z4M1dUMvv8akgcPzolac8zxT8DuJwbY9dgASy6p5NCmUYxWHW1ry2lYXkw6IfHCPV3EQ2nyy6xYXUYsTgNWl4E8j4Wx7hAarcj2Db0zHQJ1l9h5emIjHrOH8cQY4/FxPBYPCwsX0hPsYeRwEPsLzRRU2FhzYxP7nxviSEc/mkCuElRFpeVKN+detPC0tl+RFXr3TVPVmo/eqCU4GWf3E4P07JkCFez5RiK+FMvfVc2yS/9+GVcAHS+Ns+XP3SDAssuqScWy7H9mmPLmPNZ9qhWtXkMylmH7hj46t06ctL6oEVBkldZzy8gvt9K9a5Kx7tBM9TfkMoMu/lQr1QvemP3S6NEgB54dRsrIKFIusyU0dSIbpaI5DymrMNkfpmlZEfWDIdSUjKATyf/wfASjFu8dh0jb9eyOSaz7XNuMHVf0pTHCj/dTePNi9CV/X3uf0yXiS7LhZ/uIBdKYHXo+8N3cRMEDt+xGlhTmrShm3zPDqIqKIICnwcl51zfN6rhKJ7Js/nM33Tun0OpErHlGrvrXJRhfRwW4ouREtqFDPmqXFDJ2NEj/AS/+sThwotLf4tCjAslIBkehGXeplVQ8w/RQlJq2AvzjMWLBNKlYbtK0rNFF/dIi6pYWniQcvBaqqhKYiDNwwMvUYJThDj+KlDv5LE4DggDzVhbTsKwYe4HxVS32VFUlGc2esivirWDLA90c2jRKcY2Dib4wggA1CwtYsKaM4hoH93x7BxFfikUXVLDyipoZ4apj6zjDRwJMDYSJBdNYXQYWnl/BgjVl/xAbnHcCSiKL7/dHyIxEcX+gaUbYUhWVwP1dJA/78Hxz5Snz5pSMzPh3toECqM1WzQAAIABJREFUiAIc6wZ0f3g+gfu6UDMyhmoH6f4wgazClpjM8ksqWfbu2pnvOLJljM33daMouQIJt15ESsr4ZZUqq5YLvrgYvceKqqr07p3m0Auj+EZiSFmFwkobWr2IxWHg3OsbX7WT6nQ4smWMPRsHqV1cyFnvrZ/1WSaVsxQ8nu2iqiq+0RjDR/x0bZ8kFc9yww/OmLnuXm6JaM0zcNnn2rC6jES8SfJKLRzaNEp+uZWoP832h/uQswrXfWfFTJdkOJmlcyKCL5Ti2w+0c3lCT7GgRZEVFEnFXGamvMLO0W2TxxsYT/wuqAxoFQKanKAgIDAvo0ESVF6s1VKZb0EjCqQlBbNew01r62ksfvXMsldCVdVjtqC5/U6E0zz3x06GjwQQNQKVLW5Mdj2dW8cpb8pjpDOIIMKydVUceWmcbErOdTUJUNrgoqTWgW80hiPfhKHZwTf/2sWoL84vV9QT7Aox2R/BZNNhyzMSDaZJHstu/Fv0Ji0lDSJVLYU0nVGHbyTGkS1jdG7Ljb2CkBtzZUnF4tATj5zotEIAi12PJClkkzIrr6ylfmkRux/vp3PbBIIg4C6z4huJztgnCqJAcY2diz/RQveuKTz1TgorcwUV2//Sx/5nh7G5DCy7rJr+/d6ZAgGdUUVWEphcgyS8DTnRitz9StCkUeUT3agmu0rdUieHng9z1tX1tK05UTwSD6e5+9+3Y7br0Zu0+EZjM/uz6qo62taUIYgCU9OPc+TIv2CRv0VeRYD8ghW4XGeQyUyzd9+1JJND5OWdTVn0M0Tb+5CicRJiAn/Dg2CdAFWHVjYh6U/kOAmyngLvl7EsWIKzREX1pUk+lEGtMPPi2BOosg6tWIikTuJZ+iTDL36ahG/2xLcGFZnZ9+CSWgdrPmomEt2H2bgUd2EDgiAQDaRIxbK4Sy2nVZSgqiqBwGZMpkrM5qrXXP6N0HX0W4yP38/yZY9htc577RVOwdGjd3GkYw+HDzkxGh20tbWxfPlystks7e3t5Ofn43Q6KSoqwmTKPZOk02k0Gg29vb1MTU0xPT2NzWajoqICj8dDKpUiPz8frfb1PQ+8Grt37+aJJ55g+fLlrFu3DoCenh5UVaWoqAiz2YxON3u8mJx6jIN7/x1nfiXtD16Nza0jIw1icIxx0Q03HBNmc0VviqKy9S97OfLiiUzJ2qVapqe2k5xeRO1lX8FgMlLq+g0bb/Vhses5+5p51CwqeMv28VQoisIzzzzDjh07KCoqYmpqirVr17J69epZy42Pj3Oko4NNOiv3ZLXY5SzlqkStVqB8tJ/EYD/z5s1jzZo17Bmf5IjWzJoKD0sdFqKSzFgkyoaeQX5+7NH8rPA0t525iK179vDQmJcXKpvJHvs9VzostNnNmEWRoCTz+7GcgP1gWy2r83Ji2o5QjCv2985sn1UjcoPHzXuL82i0GGe6qCRF5eHpIN6MRJvNzAKbCav2xJgqqyo3tPezL5LggYW19CXS7AjFaLAYaY8m+fNkgFubKnhv8ek5SLxpolPwyGfh7C9Dxcq3/vsVBTofhed/ANc/BK7Kt/7/+CdlTtSaY4455vg/jP93dxG8916yo6O4brwB89KlKPEESjxOqquT8PqHEHQ6VEkCVUVfW4v90nXYL7gAVZLQOJ1onE68v7yV+JYtpHt6EG02PD/+0SkFrZeT7utj6pZbSB7poPy2X2NenMtIyIyOMfH1r1Pywx+iL/snq76ZY47/A3hHohz46zBTAxHC3iTVbfms+/QCxntCbF3fw/RQFI1OxGTVkUnJlNQ5CIzHSYQzM3aCL6eo2s65H5hHfpmNb239Fht6N8x85jA4CKfDs5a/UL2K2l3nIAi5Ctu0JkFm5QiXrTyfhrLqmUnCN0M8nKZ3zzRbH+rFYNLyge+tfEXLw7eTiC/Jlgd6GGzPvVjWLy3kgo/MP8kSxT8WY+Cgl+azShE1AsHJBPufGaJuSSH1y074zB+voNabtMRDaQqr7BRVvbHJx7A3yQM/3I1OL2IvMKHRimh0IoUmLZlDXsrfXUvlublJsuOdBOuubcCZypI+4kcOZdCXW0n35X7f/A/PxzgvD1VWSBzwEt44gLbARMEnFryjBYJoIMWeJwbo2DqBs8g8k5N04cfmU7+0iLGjQcLeJFUL8lEVld1PDFC/rIiiavuMkKMoKi/ee5TePVNY84wkoxmqFxZQ1ZqP0ZyzulIUFVVRTxJ/OrdNsOvxfmKBE9Z7xy31ahcVUt2Wj8mup2f3FAMHfchZmaJqB/6xGP6xGOlErpMj6k9R1ujCmmfEbNdjMGtpObv0Let4i/iSxMMZ3KWW1y2Qvd1kUhKP/eIg08MRlq2rZt7K4llZR/7xGOl4Fk+965TrK7LC4CE/B58bYbwnxLu/sIiyeade9lSoipprQvib8zydlBAE0Og1dE9FGfDFqXJbKMszYTe+c21tlIyM93/ayY7F0JVaEXQi2fEYakbBflEl9vMqXnHd+O5JVEnBtKAAJZYhPRTBsqwYyZcksW+a5BEfUiBN3tUNbPztYaayKmddXU/zWR58IzE2/HQfZY0uVl5YQfbRXtRoFtf7G9jXHuDg5jHgmDVlRgY1Z0/rqXfSfGbJK2YJng7H79WJcJq8EguuEgv7nh6asY2rWVSAs8g8kzs0dNiPIEDL2aVY84wc3TExI0LneSyccWXtrAwzVVV5/NaDiBqR6aEIUlrG5jbhH4tRt7QQT52Tg8+NEPYmKaiwsfaDTTiKzdy7a5jH2yfYOxREPiYS2o1aIqkTdnYtaQ3npHSYVYF2vcRuNyzLt9NsNFJmNaCrtGJ16imyGxEFgclIiskDPgKbJnnPV5ZQUus47eM0NRghMB5HysiY7XpqFhXMnPeJSIbn/tDJ6NEAnmOdMeO9oRkxHAHO/1Az0UCKnY/0I2oFFpxXxvzVpTgLzTPdJ2Fvku5dU3TvnCTsTWLPNxILpFFVlaqFBYR9SQIjMQQBqtpsXPyJxYiihkxKov+Al1Qsi8VpQNSmSSQ6SWb6SavPkVH3oypmSDegZE2IcjVjey4kFswVAWh0Ima7Hq1OpGpBPlWtbrR6Lds39DLaFURrEHEWmmlaVcKOh/uRJYWWc0pZekkVJpue4GQ893+7DFidhlcVWPY9PcTujXtZfN3DaHVAppnpsU40jpewWOpZ2HYnSiaf9k2jRPx+0spBgiM2snEPa65vJBHJsOORftIJCYNFi9mm59pvr0AQBJKxDFsf7KV79xTXfXsFziIz6aTEZF8Yo1U365lBVWW27zh/xh4NQKOxIssxBEFLa8svcbvXIIpaVFUlvmuS0IbchHjWEGS68W5EnRWNrgldQTUa6zi7NxiJTeQsx0StQMPSIs67vpEX7+2ie880yy+rYWowQiqWwT8WI3XMWlPUCOSXW0n4U2SiWUxlExgLNuEuddK67EOMT/8Kr/eZY9toprT0A5SVXo/JVPaq56yipAkEtpJMjZHJ+AiFdhEK7cJgKGbZskcw6HPX6cTEX5j2PoVWa8NkrKCwaB1WS07MjkQPk4j3Y7cvQKu1IsspdDonWm0ufzSZHMHnew6f/wWSySGSyWHKym5gXsN3XnXbXomuri7Wr1+PRqPhvPPOY8WKFe/o56gNGzbQ2dnJzTffzObNm9m5cyf6Y24yLS0tXH755bOWT6eneGnrKlrm/5wt9w/h7alGkXJj9pp/eY6mxltmLf/gT57FO5hFZ/Gz5OI6Fq9ZyVPrP0vfs1cBcM4NeRzelCEVy3Ldd1b8XZ5R9uzZw+OPP86yZcu4+OKLufvuuwkGg9x8880IgkAikWB0dJT7H3iQh1pWMuVwUxkPYxFgTGsgrDdiyGa4caIbZWiAPVWNHCqtRRFFUFWWyCn2a4wox353ZzyKNZ1kyu6i2jfBQL6HrFZLs1HLzbWlFOp1rHBYEI8tL6sqX+se5Y/jfr5UVcRXqnP2m189OsIfx/0stJm5tMDBjR43Dt0bO16Howku29dD6tjYZBQFUoqKVoD3F+dxS30Zxrer+z0VgYkDoNGDqIWnvw4jO6FwPnzsWdC/ycxCVc1VO6RjcPA+2Hk7+HuhqAXecwcUzX9r9uP/AHOi1hxzzDHH/xES+/eTam9HMJkw1NeDCkPXXYeprQ33xz+Gde3akx5oE3v2EP3rs4gWM4LRhP/OO1HC4dwg/DfjhL62lvxPfRL7pZcizLVNzzHH/yqOB4G/WRKRDH++ZRdyVqG0wUVRtZ3mszyzBB/vcJSOl8YZOOidVe2oqirphMRkf5ijOyapW1qIIAiUtThY37OeKnsV//LCv3Cm50w+vfDTlFnLMOvMhFIh2n3tKKpCJBPh37f+O2dnLqN+/9m8VLWeG6+8gsvqLn3T+3YqMklpRqz5RzLeG8I3EqXxjJJ/uCCgKrmOgk13dxHxJbn668tmhWdP//oASkqm6AuLZ865ocN+Hr/1IADOIjMX3zCPzIZeZH8K43w36e4glmXFmJcVE3zwKNnxOIJRQ8HHWtG/Sqh8Jikx0O5jtDNASZ2TplUlb1kGwuvlxXuPMtEXoqLZTdUC9ykFkE33dNGxZRzIDbNmhwG9UYPepEUQYHooilavobzRxXBHgGw6Z/dV2uDEPx4nHc/iLDKTX2Zl3hklZFMyT//mMMU1dtrWVuAutdC1Y5LmMz2nnb913K5Ryshvaz7IOx1ZUkjFs6+Y/3U6SFmZP3xtG8U1Di79zIKTPn/6Tx3s6PHTsLCAyy+tRRRE+qaiPH/fUZ4JhImaRBIopGUFByKahExchKhWnZn0AXCadTzy2TOpdL8zOxgBlLREYu808X1TCIKArsyKocaBqSV/1lgUC6bwj8epaM477TFKlRQErcj0n4+y6aUJfFkFk02HIApoBDiv2IQwlUAwasn/0HwMlXbkrMKfb9lFKiHRsLwInV6DxaGn6UzPWyLcPvbLA0z0himsshOajBMPZxBEgau+soTn/9RJYDyOKAoIooDBrGXeimLSiSwdx7psi6rtNK4spnZJISbrq3ckRgMpHr/1IIHxOPVLC+k/4EOWFPLLrSxdV8WIGe7eMcT+4RD+eIamEjtrGgtYXu1GJwo0ltjZ2usjmpIocRrxOEwcGAzSNRZmVVMh5zcVvuZvkUlJ3PWVl2g8o4Rzrju9TpLJ/jAP/WTvrG7hheeXU9rgIp3Ism1DH+m4RFmji2gghaqo5JfbKKqyE4+k6d45STyU66SyuY1E/SmazizhrPfWk05Ks4RoyN3bVDXXkeyfHKZ90xA9O7NIaZXKsx9Cn/8cgiij0zlwuZbjcq4gFN6HgEA64yUU2g0ooGpJhz0E+1Zj9/ShNfkQDQm0pnFC/WexYOGPsTj05JfZZopqAoGtRKKHsZirEUULE30RpiafJSvsIOGrgNi5LLjQhCIOoygZ8t3nYTR6MJtrEcVXH+Oz2QiH2r+Cz7sVjU7FZq8nkRhAq7Ewb953ycs7C43mxP3fPxZjtCvI1od6WXRBOWdcmROM/OMxNt/XzXhPrkuqsNKWs4Y9JsTOP9uDKIoYzFqKqu0UVdtPeW4OdL7EtsefweQMoxcXkgqbkbNWzFYHSy9qIR7OkIhkKG1wkldkZuKHO1FSMprrGtlwa/vLTwc0WhG9ScPlNy8kFkzTs3uK7l1TWPMMxINpGs8oYc2NuVy2P31zGxFfiqoF+TStKqGo2o7FYUDKygQnE7iKzUxO3U9f/8+QpNw+VlZ8gsLCdQwN34HX+zSqqlJSchVNjT88KfNIVVVGR//A4NDtZDLeY38VMZsrKSy4mOGRuzCZyiksXAeqysDgrRiNJaiqciybTMXlWoVO52R6+smTjptWa8NqbUIUDQQCL3Hcci6RGADg7NV70OlOvzjiODt27OCpp56itLSUa6+9FqvVesrlVFUlIsnoRBGTKLzqNd8ZS1Ji0OF8g+LFazE2NsZvfvMbDAYD6XSaxsZGurpy2VKiKHLTTTfhdM62gDz+XrNt433sf+SEfV3zNTdx1plb0ekcM8v99kt/xVS0g2u+9CW02ty42dP9Xzx/exlSwo3OoCGblrn4ky3ULip8W/bx5SiKwq233orRaOTjH/84giBw4MABHn74YS644AK2b99OLJbrLIuUlHNvwxJutGj49oIGLMbcM0p/PMV17f1MZrIYFJkwIlc6TJzpH+WOmEy3s5DySIBLbHrqPR4KA1O8JGv4jZS7hq/Ot3N1WQFnOK2vmlG1emcntWYDv2+twZ+ROGNnB2vz7Nw2v+otORajqQybA1FabSaaLCZ+P+6jxWpipfMU5210CjoegbIlYC8Fgw105twD9d8S90EqDNOdcOAeUBUQNDnrPykDA5tBSp5YXmuElqtyy2pN0HARzL8S8mrgwQ/B6i/Cwg9AoB/G9sL4AVBlWPZxyD+WEZqJ5zqxxvbBxEFouBD6XoB0GDyLYeWnYf57QPPOKux6pzMnas0xxxxz/BMjx+Ik9+0lMzTM1C23nPS5aLVS9/xzaOynV32qpNNkBofw/uIXWFefBYJIdmIc04I2bGtevTNrjjnmeGcgKzJDkSEsOgs2vY2Heh7ijvY7+O2Fv2Ve3onJp6SUxKR9fflXT91xmMF2H+/9t6Xkl536Rfn1MBmf5MsvfpmD3pzgoRE03HfpfTS5Tw6TP86zQ8/ylc1fwSxa+N5Z32Vt5do3vR3vNJKxDBO9Ycqb8tAZ3pwF1utloi+MfyxGzcKCWXZv470hjmweY6QzQDKaRRQFLvpECzULT1i0ZL0Jpv7fXhzrqrGdfaL6WVVVfCMxQlMJtjzQDcC7PjofYecE9gsqiTwzRKorABoB0aTFdUUdMbuB8Z4QOqMG71CUPI8Fd6mFPI8VrV5k2/pejmwdR5HUmdyRs69poPXcMlRVJTiRYHo4gqfOiUYnniRWZJIS4z0hhjsC1C0poKjKgUaXy0p5PSJmxJfk8OYxnEVmms/0zPxdlhU0xypMZVmhc+sEWx7opm5xIdVtBfjHYsRDaTIpiWxKPjYpbWPh+RVYXbmJuamBXCbQ0e2TFFTYyPNY8I/FmByIzOS7FFXbefcXFr2qfd8/M5KsEExkKbC9cTHqjfDIgTEe2jeGN5omI8m4LQbyLHrsUZny9igiArWLCzn3unmkNfCrDR3ce2CU2LFTSwQsBi3RtISoghGBEkXEKINWhYgOFIsWpyCiCWUpzgpUOE1k83TcNx1Ao9dwVn0+iytcZBWFA8MhfnndIgwvs/dJSzLto2Eaimw4TG9OsHy2Y4qH9o1ySWsJl7d5XnuFV8AfSzMRThHoi/DE5iE6AzESgspP37eQhStLXtd3JY/48f3xCNJF1Rw+4me8N8zqIiMuwLysGPPCAnQFJ6qtMykJQRTetK3g3yJlZH77pS20rC7lrKtznRnpRJZMSsaWZ0TKyqgKp7yXTw9F0Bk0uIpnC5Q9U1E6JiJMhFMcGA7RMRHBZdYxFkqSzio4dBqqNDqK65zMz7OwpraA50b93L1jmH5fnHyrnnMacgLVJa2zj+uhQ4dwOp2Ul59+VuGpeOqOQ0z0hrnhB2dw4NkRpgYjXPTx+Sfl8217qI+evVNkkhI6o8jya4qx2Ex0bvIxsC84s6yzyMxFH59P/isUMqTiWca7Q2j0IqUNTvZuHGLPk4MggEYjcuMPV53SotTnf4H29k+iqhJK1oCUcqC3TVNf/01E0UAkcpBgcAep1CiqokUQQadzUVr6fiz6lTzy4zhGi4mzr503y6r30P4fMh28k7KyG8l3r8HlWoko6giF9rBv/wdQVemkbXG5VhMK7URVc+KcKJoQBAFZznmD2e0LcbvPJZvxk8n4MBiLcTqWotO5UFHIpL0MDv2aRGIQJbqK0b0ruOIzN+AoNAEq6USu0KGyxc3C8yvIZmT+8LWtpI91M33kp2fNEqYyKYl7v7NjRiyEXK7lWe+rZ/fjA8SCaVT1WDcpOUthR5GZbFIiEc0Snk4Q9uayEznWmOAoNGO0aAlNJUnFZ+d/uUut1Fdaqa+wYTunjP79XjQ6EWeRmZGOAP7xOPNXe2ZyJLNpmTtufhGAtjXlLLusCoNZRzop8dsvbmbh+RWsvLzmVcfsbDbM4NCvyWZDNDX+x4x4lUqNMzR0B6NjfwIgz3UmDudSUskREslBstkIiUQvLtcqKso/gs3eil7nQhBy53cgsI3DR24mmw0AYDbXsWzperRaG5mMn/HxBxgduxtJilJe9kEKC9cRCu8BVDSiiYnJDWQyflKpEQoKLqKm+l8wmysJBLYiioYZC73TIZ1Os3PnTnw+H+3t7TQ2NvKe97wHvV7PeCrDZCbLM74Ij0wH0Ysi+TotB6IJ4vJxS1Ewa0QsGpFVTiufLC9koS13bh6JJVm7+yiXFji4s+WN23BnFAVZBdMrdN4cOHCAXbt2sXr1ahobG7ntttty2z8+zpIlS7j00lMXr02Pd/Hg98Zn/l1/xU00t36dstLrgFzG4r3f2UnZikd494d/PrNcNNrBzp2Xkxj4EiN751HZ6ubSz/x9nAE6Ojp44IEHeN/73sf8+bmOnXQ6zc9+9jPS6TQOh4MVK1bgcrl4ULTwPxMBOs5sOakjypvJ8sP+CcJZmU9XFLLMkRtH4uk0v9h1gA+2zMPjcs5a/kP7jvLF2lLWFpyeYPqpI4PsDsf5Q2s1t/RPsDkY5bll82i0vL73xzeFlIa71sHYKbSC5ndDxSoQREj4YKI914EVfZktu70UzO6csKXkisWoOhPmXQIIkE1A8YKcJeDAFjiyISeeJXwnvkMQQWeBzLGcT23unovWAEs+BIGBXKdX3JsTsIwOGNwCjZflxKyyZacW3+Z4TeZErTnmmGOOt5HM6CjjX/1XVElC0GrRl5eT99GPoPOUkh0ZRvIHkAN+ops2YWxqxv3xj6GEw6iyDKKIxmYjOzrK8Ec+imnpElAhOzxMZnwMyxlnoK+sxHXddWhdJx48lHQa73//nMTevaSOHAE5Nzhr3G6q//IX1GyGdHc3qc5OjM3Nr2kTOMccc/zvJCNnGAgP4Da5UVWVX+7/JS35LWwc2MieqZOfpz5U8THWmd6LoVriYGQf39/xfc6vPJ9bzrwFnUaHfzzGzkf6sbqMFFbaaFheNGN/o8gK2/7Sx8HnRlhxeTVL1725fClZkdk4uJEf7foRGTnD11Z8jbSUZlHRIhpcDa+5vi/pw663o9e8PRk7/0gUWeHhn+1noi+M3qSl6cwSWs8pm+m8CUzEGe8OYrTqMdv1qEou1LzlnJxVXCqeJZOUMFp1oILRqjvpJV3OKiRjWayuE0JAJinRtWOS7Rt6kTLKMcHEQSYlkVdioW+/F4NZS0VzHuXNeZQ35Z0kFMX3TBJc30PRl5bMmkx+OaGpBBt+tg9VhfM/1MTB50ZIhdKcWWREsOqZcBo5umeawHh8Zp3jYhMAApisOpLRLM1neXIV2lV2Hv3FASYHIlTOz2NqIEIsONuOz1PnRG/SUlxjR8oo7HlycFZTskYr4ig0EZpMsOaDTcxb8cqh28dJRDKs/9EeooEUqLD44kqKquwExmPsfWpoJgutb980EV/qWEZKKxbnmxNgZElh/zNDjHYFufBjLW9b1tQ7nbgkc/5dO5joC/HFCxr4/Jq6V52QCiezPHV4gl0DQRwmHWfUuqnONxNOZtnU5eUz59Vi1p+6gjaZkWkfDXFwNMSO/gDPd01T6TZT5bZgMWjwxTL4omn6fXFWoKclIiBoBAIWkQMOlf5wkjKNlu9c18bQIT/P7hwlbhDQSCpJm5Z7vnQWeWY9YV+SWDBNcc0Je8pULEv/QS8HnxshMB5nWlTwLrJzKBhjJHCi0vgPH1nOaDBBLCVxWZuH32zu5/fbBnFb9Pz8mkWEkhm6J6OEk1k+dW4txXbjaU3gSbLCOT95gbFQEkGAb6xr4vqVlRhfp5CqyArrbtlE18vC4y1akYSksFg0sO6cSla0FNJSmquwz0gKuwcD7BsK0lrm4Nx5syvolYzM+Pe2Y6hxkn9jM6n+EP7fHcH1vgYsS2YHz78RVFUlNJXAZNPP6kZOJyUe/+UBgpMJNDqRRDgnCFz2uTYqW9yv+b3JZJJwOExxcTGKoqIc6zgQj1lQ/mn7IN9+9MjxSDHyzDoa8zSE4im0UpKiPBuu/GJGQ0m6p2L4YifudYsrnHxwVRUXtxTPEjglSaKrq4uOjg46OjoA+MY3vnFSVs3fEo/HURQFm+1koal71yR//V0HZruexLEsqrXH7p0T/WF6d0/Ru2+aZDRLdVs+KTnKkYltyLpj93YVHKYCLlx7CdPT0xhdAg6njeLiYvLyTp2jIklRxifWE491Y7e30bulkcMvBNAYItSe+yTOcj+ioEMUDYgaA3p9AZOTD2Mx11JX969otFYy6WkEQUt+fu79KDSV4Nnfd+CfGkCj0yFnsxiMTkwWR84SUlW57jsrcRbNHtMUReLgwY8SCL4EgCjqsVqbicd70evzWLzoHjIZH7KcAhT0+nwsljrSGR/J5BAGfRFGowdFSRGJHCIW66K37ycoShKt1oFe7yaZHD5JHNNqHbS2/go9i7n/+zvR6ETe9fk2RFHkmd8dwT+a6/DQGTTIkoIiq1S35bqZqttOzglKxjIcfnEMKaMgZWXanx8FwGTTse4zC3B7rHiHI4x0Bdm7cQjh2BhssutxFJgprLQxb2Ux7c+P4mlwUjk/dw1kUhLdOycx2fQUVtkZOOjj6I4JpoeitJ5bxpnvrTutLsnevdMkIhlsbiOOAhN5JRZGOgM8+vMDvOumNiqaX/uaeyVUVeXwkZtJJgZJJIeQ5RgGQzEmUwXZrIoo1GAyXUM8nkCj0WAwGJienmZiYoKSkhI8Hg82mwW73YQsC2g0elRVZXJykry8PNxuVy5vTXzl60xRMohibgyXJAlFURBFkZ07d3Lo0CEMBgN2ux2Hw0EqlWJ8fBy/34/H46GaaeLqAAAgAElEQVShoYH8/HyefvppfL7cBPyKFSu46KKLUBC4fWSaH/ZP5GIKgbNcVnoSaRRV5bICJ6VGPbKqkpAVErJCQJLY6A0TkxXKjDrOddl5MRhlJJXBJIr0n9162qJPUlbYHY6zPRRjeyjG/miCtKJyZaGTnzaWY3mFDO/jpFIpNBoNGzdu5ODBg9x00004HCdbnaqqyp1fXU86mjsP6tfdRklNMa0tvwTg0AujbL6/m0XXPMiqc2+btV5P7y2YtRew/zED51w3b5brwCuhqipDQ0NkMhkURaGoqAiX65UFouO/5/F1Ozs7ef7555Flmc9//vOIojjTdTY6OsqTTz7JhRdeSFVVFTFJ5qI93RTotTy8uP4V/4+3k1uHpvhBf04gMokCX6ku4TMVr6ObLRHICUnWl917ZAkiYxCdhKLmXMeVqkImllveWgi6Y79FeBR2/g9s+wUsvB6WfgSCA7kurKkjsOfOE98riJDfACVtOZHKkp/r5Gq4KCc+vR5kCYa2wtEnoea8nKCWDEFxK5QugYJGiIzCI5/LiVeuaihdDIuuh9o1ue9QlFxn2BxvijlRa4455pjjbcT7i1/iu/12LKtWoUoSqSNHELRalEQCNX3iJVMwGFDTaXSlpWTHxmb+LtpsaOz2mb/pPB50FRVonE6iTz0FQP7nPkfB5z6LqigIokjgnnuY+v4PMC1ZgnnpUiwrlpPuH8DU2oKpre3vewDmmGOOvzvt3nZuev4mDBoD4/ET1Ym2VB4ZTYqsPsXnF30eu95OJBOhJFFDx8MB5ISKLe1GQWHC3kvSFWK7+wn+dcVXqZxcwM7H+tHoRLLJnFB+7gfmMX91aS6/4tF+ju6YpOXsXCX66do1Pdr3KM8MPsOiwkUUmgtxG91IqsSt+2+lM9BJU14TPz77x1Q5qt6OQ/W/kv1/HWbbQ73MP7uUTFKib+80iqpS0ezG7NDTt2+abEo+ab1Zws/LsLoMVLa40eo1aLS5l+f+/V4i/hSlDU4UWSWblon4k6TjEu5SK2dfU89IZ5Chw350Bg2BiThVLW5Wv7/hVTPLQo/1Ed81iee7q17VBjA4GWfD/9tHMnqiitvs0JOOS8iSQnGNg+qF+biKLUS8SVrPKyMRTuMfjzPRGyIwHqf13DLKm05MfEYDKTbf341/LEZhhY3y5jzcpVZGjwZJhDNM9IWQswrByVxFvKfeiT3fyPJ31eAdjs5YPGaSMr7RGNd+azmuYguypDDcEcBs12Oy6mZNerx431E6toxz5ZcXs/uJAYaPBE78HloRWVIQRIGCcivLLqumssX9js61eKeSURTao0mqTAa8iTQPHp5gT4+PjsEQUvrEtXB5m4ePr66htcxBOJHl7p1DrN87ynQkhaSoZGQFVYUCm4FwMkvmbzL+qtxmPE4TLrOeMpeJqnwLlXlmHmsf5/GDE0TTucnlijwzly0o4ebz62cJB6qqcu1vdrCjPzDrew0KvDtr5N++upK8klwl9dRghGd+e5iIL8X7vrZ0Vp5TLBZDVVX6+vpIJpMUFxcTi8WQJBlPfiWP/+oAep2RVVfWYq2xMRxKcuOdu5hXbOPgaGhGqBUEaC11MBxIEErkrjVRAK0okmfRs7DcSZ83xo/fu4BFFblJualIij5vjNZSB12TUQ6OhNjR7+fZzml+fs1C1u8dZUuPjwKbgeuWV9BUYmf3X4dY7w1Q57Hxo6sXUlc4u4tXkRV2PzXE/2fvvcPkuuvr/9ct08vOzLbZXrTaVbeqJVvNchWWjTu2MWBKKKGYkC8JEOBLKPkCIUACwRCCqfm5gW3ZKjZylYusarVVW23vszu9z62/P668smzLNsa0sOd55tlHo1s+d+7nzr3zPu9zzq8e62azQyGoCyzDzqc+sZRZDWV8+Me72dZnFWTLZZlnvnAhDx4a4z+f6GYkaZF2PqfM0/+wjqDnTAI3u3OM5MZunLNCYJoow1lqPncuwu9pKTh0LM5j93VxXywJksD5LSFuWN+GM2jn/l8epbMvwcyOEAs9Lnp2T6CaJu/55koCL1EM7u2Lsqtnkg+sbZ8iACORCD+7+wEOTOrUNbWyfUwkmj9NWvjtkFZgpqfIcuc4HkFFzacxDANZlikvLycSiVBfX8+1115LMBjkt0ci9MdyrJxRwfx6q+g7NDTEwYMH6e7uJp221gdwOi2LvmKxiNfrxev1EggEWLVqFfX19SSTh4lECpw4Mc7ExASRSASn08mHPvQh7HYTwyhiGEUGBro4fqST8admIzlLVC6IkjjahMvtweaQmehPI9lEmueXo3qjxNVBBgYGaGpqYvXq1ZRKJQqFAtu2baNYPE1yAkiSxEc/+lFCoRDHjh2jqsqF3ZEjnT5EX9/3UJRJZLkMTUshSV7KQ2uZnHgW3cihZ2djcwggKiAoYBvG5aphyZJ7p7KPcqkSuVSJvBFn88ZHUIcD+Ixa1t7cQW17gIn+NPseGcDmkAi3ltE0v5xwy6vnhpmmiWEUiMWeIZXaRzrTiYDAnDnfwul8dUWjplnnW1VVIpEIoijS2GjlzOl6ySI4T5Ecw8MHmZzspVCcpLq6gXD1TJzOuil7wdhols3fP4hS0JAdEqZhcsEts0iM5yhkVCRZoKLBx8ylb4zkNU2T33xjLxMDGd75z8tfoSAc605id8mU1705pb5pmDx3fzcHHxti5rJqLv3AK3NldNVg/6ODxEaypGPW3MinSlONKnaXjGwTyacV/uY7q39n21zDMDh+/DiBQIBwOIwoiuTzebq7T7B7927S6Ry5XA5df+VzFljEc1VVFRMTE7xeTdXhcOByuWhububqq69+1WVGRkbYunUriUSCfN56PhFFEcMwaGhoQBAEUqkUmUwGm81GTU0N5eXlDA4OMjlp2SK63W7Ou+paGsPV7C6o3B9JsDeVI6MbbKgs46qqIOcFPFTabRR0A1EAx1mK7RlN54FIgifjGZ5JZPDLEmtDPu4ai/Ps8lm0ua3vkElF5flkjuO5Ao9F00yqGklV57yAh7dVlvHVnlHSmoFomqyzZbjMHKMq2c34+AkKtcv40GUfRLI5X3UMU9BKJNI5fnD77bS2tnLzzTfz8MMP4/f7WbVq1dRiz23exESPwegxH/6aOPUrv8cFFz2FIIhs/dEhhk92sfqDh5g96yuvvb83gM5nNnH/43swsD6/cDjMRz7ykVcsZ5omjz76KLt27eL666+nvLycLVu2MDAwgOH2EFu7niOCjaiikdQ0Fvjc/GRuM15Z4kdDE+xL5TmQyZPVdX42r4VLK954duFbid58ic92DXFJeRk3hIOvbUGZHIR732P9rZxlEUwH77Zs/mweqGy3bAHTo5Z1H4DksFRNxSTopxSjog2qZluqpxcVVx0b4OY7z9yfacLO26Gyw8rCcgVOk2F/LJgmaMU//n7/ijBNak1jGtOYxh8QvVdeiRQI0vSrXwJQPHGC/htvwjlvLqF3vwe5sgIpEMRWW0Nq40Yy2x7FtWgRUjAIhk7xxAlyzz9Pxd/+LYHrrz+j2FXs6mL0Hz+Dkc/jvWAt6U2bkSsq0FMpbHV1NN35/00Xx6Yxjb8yGKbBTZtv4lj8GOeUzmedchXYDYrFEhwNggAVLW78ZR7Uko5a1EiM51FKGpqhoa0eorxUg9bnQomBaipIhlUQKDZOsrn2JySNONd3fppgsZqaGYGpvIUlb2tixVUzzhiPaZr8duC3PHDyAYYzw9xx2R2EPZbCZXPvZj73zOcIOAIkS8kz1qt2V/OpJZ/ibS1vQxT+crvY3qqssheRmixw77/spqYtwBUft5oUcskSnU+P0LUngqEZ+CtcrLm5HdOAQlpBKWpINpGBztgU8WJzyhSzVhF78EiMyEAaQzPRtVNF/QYvFfVeosNZZLuEzSnhdNuYd0Ed1c3+N31ME/91CHSDqo8ufN1lY6NZnvjFMZZtaGH7XSfIJkrMWFTJ0g0tb4m15dlQzKokJ/NUNfqmlIgvRT6t8Ksv7KBxbjkd54bZcX+3Za8EIMDyK1so5jQmBtKM96aZu6qWte/swDRN8mmFXLKEWtTxVTgZOhqnY3kY+S22O/vfCNM0KRgmbklk23iCb/z2BOlUCYdLJlHSyE3mMSqdiNESQlHHtIkIIQcVThvDbR4+UHRw3+5BiqpBbZmT0ZRVDF09s4KZVT5skoDTJrFuVhXn1JeRU3RORjIMxPIk8wpep40H9g9TUg3iOYXhRAHllDWTzyGzblYVVy2sZWFDgHLv2Tt+o9kS+wYSJHIKoigwp9KLPFGipsXHk88+yujoKC0tLVaHfbCK0cEo7fMbSafTdHd3s3//fkZHR8+6fUmSkCWZmsIKcpMm3pCDBRc08F+RSR45Mo7XIXPnB5fzdNcknSNpvnbNPIqqTudImsaQm9ZKD8/3xnjfz/acsd0rFtTwqUva+eTd++kcSZ/xfzVlThYHvVzl8HLhu2exeyDB7U/28Gz3aWuesCaQlEw0UeC2dTP4+MXtCALER3P88heHuSeeYFw2qfM6+J93LMHrlKlstNQ/maLKjhNRdj0/wk/7I7hMgYJgMsPtZH2ojAq3na+eHGJBfYAvXTmHhQ0BCqo+pap7kdgC8K1roOyy5jc46+DYvnGO7p+grtJDRb2PuvYAXaNpvvCTffRIOopghddnX2LT9dIqis8pc9WCWo6PpemL5/nBDbPJx0b51d5xto+JGAj4ZIMKr51cPo+kFUmYboqmNfagkKdZimMiIIoSo5oHEYNrKiaY2Wodh8vlYsmSJQQCAWRZprOzk02bNmEYBgsXLqSuro6Ojg6i0Sjd3d2cPHmS0dFRbDYbM2bMoLy8HIfDQVlZGXPmtDMw+ANGR4+TzyURxCEEIU02G6KqqoJSqRPDEInHWrDZKhGlAZKJEFXVvTgcBV4OrehFshUQJJ3kwBLGd30YgLplERTPIJHJKLqewevNIcnVXHLJWmw2GzZbgGj0CeLxA+jaWsrLGykrqySbU7nvN4/idldQW1vC5f4VTmd+an+qWsPY6EWEw8tZsaKKvv5fkMnsRVXLyEy+A6VnHsWcauUEajqqkqZ+VohV155DqMaLrhvc9eVdDJX2U3JNgCmAYHLJhetZuWbFWeeJaZrs2rWLVCrFvHnzqKure815paoquq5PkYgvore3l3vuuYeCYaIZBjZdQwBCoRCqqtLc3IzD4ZgiMcbGx6fmHcCMGTNobW2lrKyMuXPnIgjCVMZacjzPdZ9ZcgZB/mZQKmgYmkFJzxOLxQiHw3g8v19+38uflXY91Mverf3MWVlDNqkQH82Szyg43TbsLplkJE9ZlQt/uRNNNZBtIvPW1pNNFEmO50nHi9az0I2vr+x/EcVikbvuuot8Pj9FBjmdTtxuN/G41YhQXl5OQ0MDHo+HUChEdXU1NpsNr9eLrusoioLT6cTr9ZLNZslms6RSKRKJBIIgoKoqsixTW1tLLBZjeHiYY8eOTZFVfr8fp9OJ0+mkvLyc8vJynnrqKdxuNzNnzsTn8yFJEoVCgYmaBopBi4gVgSqbTFzV2BpNM6GorAh4WesU8RTy/Kok8GAsM3Ws9U4bF4X8rAv5uazizT/TaYaJKMBQUWH5zmN8rqWGTzZXk1I11u05wWjJes5c7ZGYaQfd1LkzrjI/28WXxn/NLCOBP9mLUDp9T1FlFzatQMxVjXfN3+NYeuurEwKaAt9bCOUz2NP8cbY8+TwbNmxgy5YtAHz2s5894/pSFZ0f32ZZVZbP2cTbbn0PZWWL+Ok/PIEt9DyXvn8h1dVvPn/3iW1bKcv1suTg50nIVbDio+zN1fLc/mN85jOfweWyjiESibBnzx4mJiYYHBzEBDxuN8ViEdXtRTn/Ah4x7cRVnVVBL/VOOx5J5H9GY0iCQJPLTmemwGyvk0U+D1dXB1gVPHu27J8NTjwCz/27Zf83/zory2q801JNzb4SEv0Q7QJfGAKNUNZgWQIO7YRiGlxB69+uAMS6re14qyxVVP1SCJ8znUX1V4ppUmsa05jGNN4imJqGMjiE0ttDqa8PI58n9sMfUf35zxN697umltMSCSS/H+F1ZPVvBIl772X8/34JbDZ8F1xAft8+RKeTun//Lq4Frwwhn8Y0pvHHhaqrDKQHaAu2/VH2t39iPx9/4FO8L/ZPKEMyNodkFW9Ug5lLqyircjN4NI6m6NgcEjaHhNNrY9nlLXhDDuzO0z8IxvtS3PfLZ9hpe5yoZ4hExTAXNl7Ipc2X8u2NP+KC3ptxuGwMVnSyw/MwHc2tVLoruabtGlKlFIurF3M0dpSPPf4x6rx1xItxwp4wc8rn4JScPDrwKM1lzfxi/S8oaAXixTixQoysmmVp9VLctle3p/tzgq4aPHNvF8MnEtTNDFA3K4imWHY+R54ZITaSw+6SsDtklJJGXXsQ0zARRYFUtEAmVqSsyk3T3BBKSae81ouhG2QTJbp2j+OvcJFLlshnFARBQCvpSHaR6/9x6Susjt4qvNVE3Eu3O/rlnbjPqSB4ze9mkzLem6L/cJRzr2h5VaLpj409W/rYvckKaw/WeFh+ZQumCQceGyTSZykQKuq9hFvLWHp58xnWZH/pME2TkWSB42MZJFHggo5KTBPE11DeAYwVFB6JJPE5ZWZ6nJzje2Pz9/sDER6cSNKXLZLPKTSLMmMHJiGtYiuzo5d00E3aav30DKeQZZF/unYel7RXUemw8XQiwy2Hetm8eCYz7XY27h9he9ckixsDLG4Kcv6MitcfxKvAMEyOjqU5Mppiw4JanBLk83ncbjelUoknn3ySaDTKunXrUBRl6uX1emlrO9MGsVgscu+999Lb20tTUxMjIyNTag2AQCBAMmkR/1VVVSxYsACbzYbdbiccDlMoFPB6vQwPD/PUU0+RTlsFwsaaVvzZdiIn87S9rZGeMmgPeljdXonDJdOzf4JdD/ay7IqWKaVGpD/N4WdH+HTPEMmCyi/efy77BhL899O9FFSrc7pNFanVRK6+voNVC8N4TZH/+eLzqCWdhZc0svI6634Xz5a47d92MJgvcefHzmP3Y4P86OgwXTaDZpcDW1ZDMUwGZIOQy8YXr5rDFQtqsZ3lGtcNk/X/+hR6UWeN6SCc0HC67ZTyKodQeK7MJKlqNJW7GYjlWdoU5OfvPxevQya3e5zMcyNUvn8eUtnZScd4TmE8VUTVDXrHM3zpN4dJCyaNmkiTKlJmCDzv0sgIJutmVfE3a5qYV+unczDDA4/3EZnIs6CujHVvayFd0LjvhWEe2G+5LThkAVPTMAENkUVBlVVNbh44NImOiMthQ3L5Cfq9fPHKefhlnWI6hsvpJBQK4Xa7GR0dJZlM0t7e/prWgMlkkm3bttHV1XXGXBIEgbq6OmbPns2iRR3kC53oWs7KyFXijIzeTTZ7FEnyIMt+/L55IJTR3/8UpqmTSMygo6OGUulxdD2P2z2DfL4XCCOKK8F0kEwVKBYN1qy5hPLQOQiCSDZ7nCNHv0istwpMCX/jG6vpSJIHXc+97F2ZfN6D251C08qIRRcRj0M+7yOfL+NFikeW5TOOHaCsrAxRFCkWixSLRTxOH7lcHrsaoNo4h1JWQzWLxCt34VZqWDxnBRGhk5PdJ7n88ss599xzX3WcTz/9NE888cSUgqa9vZ1169ZRU2Pllem6zujoKN3d3UQiEfr7+ykWi4RCIWpqaqipqUHXdX50vJdSqIq95bUogoAEeEydykKW9Xoe4ehBJEkiEm6kV7RxoryGtjIfP2ytov/EcXbv3k02a9kLrl69mosusjJF1ZJOLlUiUPXmnhs0TePYsWNT21+6dClPPvkkmqYhCAL19fW0t7dTX1/P4OAgM2bMoL7+dG7mjh07OHjwIM3NzTQ0NCCKIqIoIggCg4OD7N69G8MwcLlchMNhli05lxceiJKdUPGVuyiv8+Apc1DIqYydTDJndS2LL216zTEXCgUMw3hdwm1ycpLt27dPXSuSJLFgwQKampro6+ujUChQV1dHQ0MDDQ0NSL/H7/cnY2n6iwo+SaTJ5WCm24HbNPjhD3+IbLNh1DeTVDXyikIyFiVmc7DQZee2a6/C6z3dzPO9gQj/r3fsVffR5nZQ77CzM5WleMqj1C4IfKihkjJZYnmZh2Vlnjf+nBfvhQN3waF7rOwisEiE8jZLQZOPgSjxs4yDn5WtZH5NC7tSWUaLKg8Fxzmn+z5sR35j5RUBOUcAl5JGcJcjVM+F0AxLdVM1GypngyvIY7s34nv+OyxPHUapno/9g0+A/BIVbnLIyjV69IsAmMFmHpEuZVfUQ5gJijhYueGdLFu27PQ6ukbXsyd59K4xXKEh5l3zAAvm3M0d/2cHVQu2kHF2cOmll58xb8+GVCrF5s2bkSSJcDiM3SYz49FbqcZq5NDc1cj5CKYg85y5kHjZfGbOW4TW+SDRVJ4MXgappc9ey8bz11Mei2CUBRmW7FSVYtzEEFcsupgFlTUwfgj6n+WAvZ71Gcva/b/mNnFV1RvIvFJyVvaTswxkJ4iSRQ7ZPBbBFO2yspxmXgKN51lKKLv3rcl2Mk3LBrDvGTi5DY5vtuz/NnzbsgiEafu9abwlmCa1pjGNaUzjd4SezSI6nQjy6eJvatMmxr70z5j5/BnLupYsofGOnyA6X0c+/yZhahrZp57CtWQJcjCIUSgg2GxnjG0a05jGnwYnEyf5wnNf4GjsKA+8/YHXJLaGMkNUuCoYzgzTk+qhI9hBo68RSZTQDZ1Hu57govYLsL3Ed18pavQdmKR1cdVUsP13H/8B+U3lVIk1zF1Zx9INzdidMrpmvGFLwJcir+Z5augpPDYPK2pX4JCsYuDXdn6Ne07cgyiIzK+YT0ewgwd7HkQ3dLSX5Ds4JSeV7koevPpBnhx8kp8c/glpJU1ezTMjMIMvnfelP3trwWJOJT6aZXIwy/GdY8g2CVESiI/mMHQDpahT1x5gcjCD8hLbv1Cth6Z55aglHaWgYZow0pXA6bFh6CZllS68QQfjfWliw1lEUcAwTj9/h1v9qIpBWYULT5kdE6sgOW9NHaHa368r+g8N0zStUPhTRIcayZHc0kepK0Hw+nY8b9Dq6M8VpmnS88IkSlFj1orwFNGmawapiQJl1S6kPwPy7a3E/+wc4KEDoxwbT5Mpnr7Gy1w28opGlc9JwG2joOo4bZaV5Zo5VRyL5xhMFegZSWNkNYxyB3qtm/M7Krk8HGBXKsffNVXT7HLgkkQOxTJsH0zw/rl13NEf4VuPnMARL6G9zFLz329ZzNXza854L5VX0QzjDKXUwXSOy/ad5GfzmnlbZYA/BBRF4cc//vFUZglY16okSa8oqgNcddVVlEolRkZGSKfTTExMUCwWefvb386iRYtQFIXe3l7Gxsbo7+9nbGyMdevW0dTURE1NzesWI/v6+ujs7GT//v34fD7qxEXEuk3e/ZXz+c039lDMa7QurGS8J0UmXkQUBd71tfPo2j3O7of6MAyT7X6d4YDIxvecS1W9j0i6yEMHRqGoU7p/EOEUcVDTVnYqty9D8/xy+g5FufDds2k5p4L92wZ54bcDXPKBObQvsxS6EwNpbrh9BwOCTqUk4/PYWDurir+/vAOf882Rv6qi88QvjnF0X4RDFQLjAYmVsyr52Y5+1s8N84NbFk8t+8Jggv98ohuXXcIhixwaTjEYy1Ppc3DZ3DAPHRwhmlWmlg/oAteeW8/j/TEGYqef8b956QwW1Jjcd999mKZJa2srs2bNory8HK/Xi6qqmKZJOBzmrj1DPH5kjJb0AR6arGBeSy2fu2Ie7WFLMXPkyBEEQWD27NlveUOBaZoMDg4yODhIIBCgpgby+T1Eo4+TSO4GzrTYdLtbaG351CsUC6Ojo3R1dTFr1izC4TCalqFUiuDxtKGqaSTJjSi+9m+PYmmcEyfuoFiEhvo1OJ0iup5HEG14PR3k871IkgdRcqKqCWTJg9vdQi7Xg67nMYwiup5nMvo4+Xwf5aErqa17O6LgZ+PGjfT19bF+/Xq8Xi/d3d0IgkBlZSV+vx+Px8O2bdtQFIVQKITT6cThcHDgwAFKpRKqqtIUnEdHwzlMqj3sP7aTT3ziE5SXl6NpGvfeey9dXV00NTWRy+Wor68nEAigKAq5XI6DBw8yf/58NmzYwO7du9mxYweKonDNNdcwMjLCwYMHKRQsJVtFRQVauA4qqjBik2TGRikl4uxvnMn+xg4A5ntdXFMdJKlqJDSdhydTRFWNJqedtKaT0HREoMVlp6+gYBcFLgj5uLLcT6MEh3fvYnDfHm666SZmzZr1e82hWCzGL37xC9LpNKFQCIfDwdjYGG63m2uuuYbh4WG6uroYG7NIFgmN1eJ+PPVzMWdchOkM8PDDD09Z8r0aZs+eTTAYpFAocPjw4anvzSVLlnDllVeedWwvkmovEk2RSIR8Po9hGNx55524nE4+ddU5SIl+Kz8n2ASBJnCXU1IUtm7dyqFDh5Blmfnz5zN37lyampqQX/47evwwPPNtCDZD7SLwVoOnEiaPw7FNINkp6RqpXIouw8kL9Zcg1C6iT7cxoBgMFxXcpSRadoKYPUBC9mOeciGosMnMcNmJqjo9hRIvR53DxvZzZyEI8FgszROxDPeMx7muOsiX2+oQAAOT/oKCQxSY73UhCAI5TeexeJpJReOScj9Nrt8hMygzDse3QOd9Vm4QgpUD5Kmw8o8Gn4fsBBiqZQ+HCbpCQvaxu+JcEpULWFkaoKHrfoskWfhOCLVa2zm5zVLjvO1fwXF21f32eIaNj/833z3yZXTZSXHDv+NZdDOoBYzbVyAm+q0F37sFNv4tJAfpo4EWhijh4KE53+eG89ugdqFF5vxsAww8y171/eyKXcmMDZ+huvxD7PjlDFyzNjKYDLFw4UKuvvpqhoeHsdlsVFe/5FnVNOHZ72COvEC8ex/7jQ6OBS4iFo/TwiC3cpzCUPYAACAASURBVB8AhfXfxbX8fTB2EP3pbyMdf2hqEwYC4iktryFI6ILEk4ElbKy6iPPFFEtKQ3T0P4yol8AZsPZZSk2tH1n8IcTzPk5lRSOkhmD0AIzut+Zhw7kWeZUZP/0afcGy6Hs12NxQPdfahqFa/1YLsOwDcPm/nSa2cjGLeHJZLkKU0lZeVSlrnVPZeZqYSvTDyUeh50lrXJlTqnJPFSx+N6z+NNj//BsWzwYjl0P8PVWp03jrMU1qTWMa05jG68BUFCb+4z8QbDbMkkL85z8HUUSuqsK9bCn2xiai//mfuJYuIXDd9ThmtGJvaUEZGMTR2oLo/su9eU9jGtN4czgSO8I7t7wTV9HPgrELWHllO7cufjcFrYBNtLFnfA8/7fwp1828jk29m3h6+Gma1Q7OP3wjWXsCj1qGIepINhHRo+MdrcF+Xoqr112MoZvkMwrP3ttFOlokVOfBsKukxguYBQnNVuKGT55HbdsfpoALkFWyPD38NOfXnk/Aae1HN3R6Uj1s6d3C6rrVHJg8wAuRF3jn7Heyqm7VWbel6wbFjIoki4iygGwTX6HG0VUDyfbWkAS6ZpCaLBAMu1+3gJiOFrjna7unyKrKRh8Ot4ymGATCbgQBZi6rpmFWCF03iA1nsbtkdNUgVPvGOmFN06SYVbE5JHKpEpIsIdvFvyh1j6mbJO7rIn9oEgwTDBBsIu5FVShjOdThDIJDwn9RI96VdWfN04opGidyRc4P/uHsBf+aMJzIc2wsg00SyBQ1SprBitYQtWWuKWWVohn0RrMcH8vwzMkoFV47oijgsUu47TLj6SLPnIxybCxNMOSkLuyjocrDnLCP0oSl2Gqr8jKRKTKRKVHEpDORo5BWEBTDKt/YRXDJXDKzgs7uOOPJIkgCesiOoJkYIQe2nIaU19DSll2RIAmYuokgWFlYrRVeGkIuyj02+o4coDjRR1lZGXa7HYfDgaZpZDIZqqqqrIJeLoemaUxqBl8Jd/ABcvzLupVv6HMrFAoUi0X8fj+SJJHP5+nv76e5uRlBEHA4HBSLRUqlEsVike3bt3P8+HHWrVuHIAjous68efMQBIFIJDI1TpvNxt13300kEgEsBZbf7ycQCLB8+fJXtSx70dLqReui3wUjIyP8+te/JplMIuoO2uxriUxEaJpTQfykSU5J4pubIXFCwlm0gt1nLK5i1oowD91+EB2wI3DetTOmVBH7tw2y4/5urvvHJYx0JTixc5xkJM9Ft86mZWElv/nGXiuX7tQlPvu8Gi58z+wzxnX8aJRHnhviY+9ZgM3x1llv9h+K8vQ9XWTiRS7/yHw2RZN859Eufv6+ZVzQUUWupHHht5/CMEHVDWRR5Jz6MlorPRwby0zZJX5qZSvmcJ5IZ5yVS/1UzrEyqASbEzwhuvsGKIycAKy8lJaWFo4dOzalpntRrQPg8XiYOXMmAwMDZLNZbrnlFpqbm9+yYz4bTNMkmztBPLYdRY1jmjrx+HPkcl0AOJ0NhMNXEQyuwG4rB0wkyYXT2fAnsy7fm8phAmlN57FYmsGCwuqgl6BN5kdDE2imSbPLwRK/m483ViO/7D6iadoryYjXQalUwjRNNm/eTGdnJ21tbUQiEcrLy3nve997xrbvv/9+hoaGqK2tpaenZ2p/drudpqYmrrvuOmRZJq3pnEik2LpxI+bIIAgC0sKleOoaqaysYE9e4dfjCV6t2vbu2nL+tqGKsMOG+yXPQQXd4LFYmtsHJ2hxO7i2OsjaoA+bKLArmeWhiSRbJlOMK9b3p00QWDE5xKKxPv7hbz/ymqq+s0HTNJ577jn27NmDrutcc801tLVZzVkn9z9LVWIvwbp2CM8Dfx3pXIHMoc2ETtyNa8iyeTMQGKKW475VXHjbDygWi1MKqhdfgUDgDBXSxMQE8Xic3t5edu/ejdPpRNd1HA4HS5YsweFwcPDgQVKpFMViAZ/XxxVNeeyTh0lODGNHxY6KAwU3BSpIvOLYjGArR5Va4jmVGZVOwvY8ksMLhQSq5GRX1UqSuo5azDIzdoB50b2YDj9CKQMvO3MFR4CiKVBEIiu5CStRfPppArwoOSnJHrxKCulU05cpyhR8dUS9jXT72uiRQ4yE5rI86KdeVLFjouoqsUKezuNPs6N+PTucrRR0nWX5blZU1/KZc5YgR49ZqhtvpUWAxPsgNQjBFksVU0qD7LLIi1fLpxrZB1s+bZFVSs5S7uTjp/OMKtrhnJtgwU1Q9rL704tZQYJkESDRLvSnv4U0vNciXCQH+sIPYSz5MFoshamUMFUNU9PANHAtXIjks2zzTFXFyOXIPvMs9uZmXPPnAXAkW+DJ+z7Hx/t+RswVZv97n6Ow/VtcefRHTDirqJh3JeIV37EUZHt+gvbE15FVy2bxBWEBi81DqOe8G9v6r8E3m6F6HsnJEveM/wv2QBZvwzYmDr4DpWUrqYIXp9NJZWUlQ0NDuN1u/u7v/g673W4pirZ+GvbeQU70oxoQwFJEm4J1DzPtXsRPd535ORdTlP5tLqKpEw+vxr32k/hal0F6GHb9mEeH+lgz/iQO4xSZ6a2G1nUw71o4eJdFbDWthMblsP2bcOBUZpTda51bAFEGfx0kB07tVLAIV1+1df4WvRucftBVi5TKRyE1DO3roXyGRU71P2MRUakhOLHVIm+DLRaRdXyLRXoJkvX3pXAGoJSxlF7xXmv+gLV+3VJoXAEta6xx/AHuK+r4OKLTiVhWBrpOZts2DEUhv2s3cnkIudbKLZRD5XhWrULyejBNEz2ZtNZ7jeeq/P795HfutOasaaDHEyTvuYfwV79C8IYb3vJjmcabxzSpNY1pTGMaZ0Hh4EHS27aRefQx1MHBqff9GzZga6hHHR4hs20bpqLgvfgi6r79bUTH79AFNY1pTON/DaKFKNuHtqMaKsOZYbYPbydVSvEVz39yZEsUxZFDr8gzWhqiN/wCg2XHUU/9OGjU27gs+U6krnIA3FUSRqBAVsmRSmcIxuvI2VP4lNAZ+1TdeQ6EnqIjfi55MUPCPQ7BEjdv2MDK9uVv2bEZhjmlvHnxrygJb9gG7uV2doZhUsgoDB6JkZoocPCJITTlzG7xYNiNJ2B9nyYjebKJEpWNPmS7iN0poxSswoAgCsxdU0sw7MEXcr6CCCrmVCb601NEVjKSp/9wjFzS2p4n4CBQ7SYYdtMwO4TdJeNwnS6K7drUy76t/ax9Zwe5lMKStzX9r1PgvBmUDIORospwrogsiRhPDOE/FKd+fhWS3w6iQKknidKfxtbgw9Hsx3dBAzmHyN1jMa6uCrJ5MslAUeGqygCL/G5M4JoXTrIrned9dRV8ua0W+1tgS6LqBkPxPE3lHqTXsMj71fP9bDk8RkE1EIDPb5jNsubQWZf/QyCRU/jvZ3oZSxVZ0hTkigU15BQdwzBpCFkNMt0TWZJ5hSVNQQRBmLq+SprO8bEMR8fS9Edz5BWde/YMTeU+vRRBt40LZ1XTF83SOZpG0axl/E6ZomZgGCbaKdWgIIC3wkXCK2GfFSD/EjVhtV3mE03VnMgV2ZPKcSJXxAQkAW6pCtFms7G2poyZHhcFw8AjSZimyZ7+BPfuG2L7ySi6bhDPKri8NhxeOwubg5QcIs/0xlhVF+D/ntvKnFpL0aLrOlu3bmXfvn3U1dWhaRqKolAqWQUhn89HLBYDwO12o+s66Xye/15zFUv7j/GF2S0sX778VYv2xWKR48eP8/zzz0+RToIg4PP50DRtKvPkxfdf+ltZkiTWrl3LmjVrXvccp9Npjh49Sjgc/qOQG4VCgU2bNnH06FH8idlkg10Y6MydO5foRJzIpKWuaBDPZeUli2hY4CeRSPD0HcMkxvI4vTaKWZWL3zeHmcuquevLu7A7JW74nGXrZJomSlGf+t7UVYNIf5rRkwnS0SIrr2/D4f7dC+qJRIKBgQEmJycplUpccsklON7AM7Za0nng2y+QnMhz5acXccvdLzCUyPPpSztI5FV+tL2Hb69spyKj4/LbqWsPUt3iRzFNVn/zSRyKyTsnJauJonmASKYfsGzrXiQxAc477zzC4TBz5szBZrNhmiaRSIREIsGOHTtwu93Mnj2b7u5uOjs7Abj++uuZN2/eG/4MNC3D4NDPUUoRBEFGEGVscgC3ZwaiIOFyt+Bxz0A4pfgolSIMDv2MVGo/udxJNM3q8BdF63Pz+eZRXbWByqrLcDrCb3gcfwwUdIPWpw9N0QUuUaTSLjNYtFRz9U4b5/jc9ORLHM8VWRP0cn7AS7vHyeqgD5/8+5Gjpmmyd+9eHnnkEXRd59Zbb6WlpeWsy7+oEBpWNJ5LZGn3ONmbyvHj4cmpHCEB+LjfRsxm587YaQtFuyDwwYZKLiv3E1E0UppORtOptMtcVx1806SiYZrsSuXoL5R4PJZm82SKYC7NO3oPcV57G62trfgDAf75xCCVhsatrfXMqK9jb3cPyXyB82a0sGvXLkqlErIsc/LkSSYnJ2ltbeWiiy46Tbo/+114/KuniY8Xj9ZbDdlxVEFm96LbKO+4EPPYFur6fos/1Ut0/i0Es8NI3ioIzyefmUTveZIDgfncPfcTzAsEudAD7bKCUMqiFdLs7E2RK6p4tAQTySyH+ibpoIfVzhMEzRRONYFh6NjQKOJAt3mwuQMYNjclu4+unMrjnoUkhVYW2YpEjAx1ZoKV408QUCM4UCh6qoj7mvCn+kCUiRsiTYWRqSMbc9Xy0/AGHm26FqcoMkOL0qwnGYoOM2kP8nRwCfP9fi6vLGOhz80il4Cz/ymExACykgUlYxX+nQGLXMrHLJVToh/iPRA5+kqy4GUoSk4KjgBlxRiioVpEhmgD7ZU5dq8K0QbVc8DhB0OzXoIEw3us82ZzWmqaijbrr6cCWtZa430D8zH10EPkdu8mdMstOGfPxkyMEvmPH5K870FM9dWPTaqsAFVDz2bhZYpm78UXUfX3f4+jtZVJReXO7Xfyyedu4zuN7+Fjw3ezs+ZCbpzxWQRM/q65hs+0nlJtl7KgK5T+YymOUuz0BlvXQe+TcOsmOPogw8+/wObk59E1QDAp1T3FTc6n+W22A9NXx1r/IN0jUSrX/g2L45us89f1CM+ylMdYhctu4x8urkbMTZ7+PBvPh471rzzQ9Cg4fAwadr7ZN85Mt4NlZR7KZImL93bxjeYg7/XkLWLK+Tp5d4l+OHg35KJQ2QG1i08TlvFeSzXlqQTpTTbFGYZFph3fAtlxyE5CzQIIL7Dmmuy05pDTD5LdshREgL7tloKx7RKYealFlv2eJJYyPEJ68yZ8F1+Mo+2004mpaaQf+S35XTtJ/vo31ps2G6LbjZE6dc/z+zEKBXjJ3BPdbuRwGHV8HDOfR7DZkMNh3IsXEbj+eox8HmVoGFNRKBw6ROaRR04PRhBAkkDTsDU2MuORhxGmbRP/bDBNak1jGtP4q4apKGCzTf2AKBw4wOQPbkf0esg8/AjIMp7lywnc+A6cc+YCYK8/3amkTkxgZLPYW1r+ZJ2N05jGNP40yKt5DkcP89zoc9x9/G4Kp35cOiQH9d56blt8G8L2Go4+N8aorxun4SagVyCUbBj+Aq3nlhOLpcgdcCDZRHTVYM1N7cxbc/o7Zjw3zmef+BwXNl/I4f09xAoJIoVxbLLMoPsE5zYuZc/YHm5bfBvrm9dT7XltWzdN0Rk+kUBTDGxOCbtDwu6ScXptOFwyk4MZinmNUk4ln1EY7UoycCT28sZURFmgbUkVmFZoeCmnkYoWKKtwUT8rSPOCCko5lehwlhd+a3UPqkUrD0p9mY1Y66JKGmYF0XUTXTNQizrR4SyFjIJpQrDajSdgZ6Azht0poyo6DreMIAhkEyWSEavYLEoCM5dVE6hy4fY7mBhIc2LX+BmEmd0pUTszQGWjj8GjcdSSTmqigH6qqI8AbUuq8IWcKAWN3gOTVNR7efsnF72pOfJWwDRNSoaJappopklAlv4k95uYorFpMsm2vkmeVEqYLxuCH4E9q+ZSZrOK26ZmoI7lsNVbHdg7Uzn+pWeUvelT52uigBwtYQjgscvkDB1pIEdlSxnDrW6WB7x8o72eh6MpPlBXMbXdN4pHjoxx+zN9HBtOoWoGs2v93LiknovnVJPMq0TSRWJZBZsssvVYhEcPjREIOvF6bKSSJQTdZGF7OQPRHC5J5IYFdaxtr8AuSTSEXFPnQNMNHu4c5+LZ1bjsb7ywqhsmsWyJI2NpbKLIkdEU970wTM9kjkqvg/F08YzlP3nRTForPXz61wdRdZPWCg+Lm4JsOzLO9UsaeLhzjLGUtY4sCuimybI5VfSVy4yXVBx2CbckskSTyIzl6BnP0ljupi7sxRdyMmnqHLAbLC7z0OC0k1Y0EkWN47kCvZrGtzrqeVdNOboJKU3nSLbAp08MMVhU8MsiS/xWTsd8r4sZbietbgeKohCLxUgkEvj9fioqKs4IbgdIFVR6J7MsarTyIaLRKMeOHadh3nwcxTzPPPMMY2NjKIpCsVhE13VWrVrFRRdd9KrXwYu/YQVBQNM0YrEYF3RNMDs1yYK9TzN79myuuOIKPB4Pe/fupbOzk3Q6TVdJ43DdDFokk8rqaq7yOVDTKZLJJKVSifb2djKZDIIgoCgKHo8Hp9OJKIq0tbW9bm7LnxKKovD1r38DQZcwRJVzzjmHI0eOoGkal156Kfv27SObzVJZWcnIyIhlp9fYTpmthqZ5Ifqf1BnrTTF/TT0Hnxhi1buaaVlQgd9/ugD37LPP8tRTTzF//nyuuuqqNz3WoaEhjh+3soFUVT0jo2hycpLa2lpueEmX9MTEBDt27KC6uprzzjsPgEy8yK+/vgfZJrHyvbP4t919PNw5DsBCwc4lCStPUlV0694mgMMlUwjZSI3mmL/ESVzoZmCwnxUrVrB48WKqqqowTZN0Oo2maZSXl5/1GF7eyDE+Ps7ExATNzVZGlMczAwBVTaCqKWy2ANnscVQ1haZnMA0NTUsxMHgHqhrHZgthmjqmqZ3Klzp9Q5blMvy+eTgc1UxGH0fXc/j9C/F6ZuL1zaGq8lLs9jeXG/fHQlbTuWM4ytf7xri+Osi11UHOD3hxiAIxVWe8pNDicuA5RVx9fyDCHcPRKVVStV3mn9vquLoqwL/2jfOL0SgzXE6uqCpjWZmHom7yaCzFioCXyyrKpvZ5IJPHIYqc43NhE4QpZeXo6CgLFy58zfusaZr8cjTGl3tGyb+kcWBVwMu6cj+NTju/HI3yTMLKt/qb+go+WF8JQJksEXgj9zPDsKzH8nEoJGDyhKWcCDRYNmMOv6W8kGRIj1kWa+5yizwRRZ5LZHjXwR4MXWdF7xGqklEO1rfRFW4EQDQMKotZIm4/dlXhwwe2MyLbiYaqGPWUIck2PtLWwOWz2k7ff0sZ+PYsjPpl3DH3U8TTE8xXInRoE4QL49yrlPHl6uspiqcJaLuhcPuxr3JRfCf9rjr8Wo660gQ6Ivv8czg33XmGLdsZEG1ThI8p2ki4mgnlTmIGmhDql4KvBiWXRPHUIa66jf2KiWKYeGWJ9x7uI63peATI6DoGAuapc1qZTSGXBRjTjKniu8fUUE2DRq+Pn7dX0uZxg80FgsCWySQPTlhKzJSqM1pSaHU7+N6sRlQTym2/x3NZKWvZuZ3YCt4qi1QSJYt0EkVLafXsd633vFVQPhMiRyxSsXEF6BrkJizlVKgV/LUWWSbarHlSTFmKrLGDlqJJlCxSTFegag6s+ydwv7KBp9TbizIwgFlSrCxAVcUsFVFHRvCtX49rrlUXKRw8SP+NN4EsW8RBZSXqyAhmsUjghhtwzOpArqpCdLsRZBuCLKGn08R/9nNsNTXI4TCi04HgcOKcPYvCgQPE7vgpRrFI8MYbqfj4x8h6vKS+v5ymTA+mw0fiw7uYc9Cy1bMJAo8v66Ddc/rZInnXhwmcuJteGlAcFcwq7bc+j88OEu3dT/CBWxhN17Ml8Xnccpz3VHzUuuRkF+JLiEINGVkwwDR4wX8ZjyqLuWDdOurr619VWX02pDWd6w90czRbQHvZND9w/lzCjr8cZ4Y/BErd3RQOHCD569+gp1Lo2Sz6KTtnwW5HrglbzRuCgJHPo51qPPJeeCGe5eeiRaNo8Tie88/HVl1t5crLMtqktQ11cIDU1q3osThyuBp7XR3qxATqyCi5Z5/FOJVD+CIEp5Py97+f0Pvfj+Q9/WyX2rqV0b//P5R/5MNUfvzj03EffyaYJrWmMY1p/NXBKBaJ3v5DCocPkd+1G9eCBYg+H1o0SunYMQS7HVNR8KxaRd13vo3kf52umWlMYxp/NTgwcYAfH/oxE/kJTiZPYpgGAgKXNl/KB+d/kKAzSIWrAvFU5/R9/7oPXdDwXhdjbcNabLqD3Zv6mBhIM9adQhBg7uo6ll3RYhE1okAuWcIbdLzqD2Rd13m8aztbD29jkbSCDmk+7nIbStbA5bXh8tkJ1XjQNQOn10ZiPI/NLiE7ROKjOXZu7CEdLb5iuwB212kF1IvwBh3MWFKF0y2DIEw13iXG8/QfiuJwyzjcNuxOCV/ISXIiT6Q/g/kSNUftzAChWg92p4SmGjhc1jo1bWXINolgzevbAJ4Nmqpz/PlxHC6ZoeNx+g5GKWatAohkE5m5rJr2c6uxO2T8lZaS6+X7MgzzlIIrSjZW5OTeCdSSjt0l4XDKrLqxnaZ5Zy9gglXgiigavfkSj8fT/GY8zjfbG2hy2YkqGlFVI6np1DlszHQ7qXLIqKeIqnKbZVd0PFek0i5jF0VGigrfG4jgkkT2p/NTnd8AIZvEXefM4BzfK61tJ0oqO5JZ5nhdCIAoQIvLgQDsz+TZncyR1nXyusH5AS8XhvyvsHB6OSYVlS2TKW7vG2dQ1XDoJjdHTdo9TmolmUJfkq4FQb6r5bitsYqbasrxyxIBWSKhafxyJMY9YzGG4gWcSYX5hky6oNLfl8TjkNBNKKk6pmnVlkwTLlpax+MVUDRMhITC+pmV/HT+mc0jmm7w0fsPsv9kjDlhP5OZEpPZEkVV5/IFNdyzZwjDKWFUOjGdEo6RPEbulflGAKYkoNe4kOeG0AQTPati60wiZFRMrwyaifiSdWeFfdz5wRUE3Ta++GAn/7NzkE9c2Mat5zfTO5ljSVNwShX2zMlJvvnIcVoqvHzr+gXIosDde4b4yuajOGTxjHyq+qCL/3fNfNa0V/J01yRdkQx+p41nuqNsOmhlE6xoDXHt4nru2TPEvoEE9UEXw4kCCxsC/M3qFhbUBagNOPl69yg/GI2ywOdiTdCHYph05Yo8lcic9VyvCXrpyZeIqRo+WcIvSVTaZT7SUMX6yrJXLJ9VNcZVjVaXA/GU7V5fXx/79++np6dnStXyIkRRZNGiRVx++eVTGSiGYSCKIiMjIzz77LMcO3YMAFmW0TQNu91Oe3s7DocDh8NBY2MjHR0dv9N3xppdx2lz23l/apQnnngCl8tFS0sLnZ2dlFdU0Nk4ky2+KjROb7POYeOD9ZU4JJGibjBWUrkhHGT+q1x3fwn46R0/ZXBokIqKCj72sY+RTqfp7u5m4cKFZDIZNm7ciKIotLe3UywW2blz59S6H/3wJ3j0RydJRvJ4GlXGhBcQRZHLLruM6upqQqEQ3//+98meKgzdfPPNdHR0vKlx/upXv6Knp4dQKMSNN95IRUUFGzdu5PDhw7jdLgqFHFdccRXFYpFsNsuhQ4fI5SwVzLve9a4pe7SJgTQP/+gwaknn3CtbeHQ0wZaj42zIyLzjowupbw+STRc4uPsYI4NjmBkX0RMmmbITlFyTeDweVq1axYoVK97U/ckwVFQthaamyed7iUQ2EZnYjCDYcLtb0PUcpdIkpqkginYMQ3nFNgJly5g58/P4/fOn3lPVFMXSGKahkM11kUruI5s7QaEwiNNRy7x5/4HbfXaF0R8bYyWFsaJKTv//2XvvKLvu8tz/s/vpbeZML5qiXizJsuQiS8I2cgXbmBKKTajhBhIIScBAGoEbIIEfxaZdWoIvJRhjA7axXGW525LVNWozo+kzZ06v++x6/9hjybJkY1NC+EXPWlpaa/Y5u3733t/zPu/zPA6CAP0BHwlFYqpu8myxys5ildtTOWYNi7gssW/9MqSXeb7zpsW+co1PDU6yu1SjWZWZMSw2xcOM6cZJ+UTP9dS/tinG4YrOwYp+PE1MBN7YkuBLi7te1nYrts17943wQLbIhniIv+trY0I3aNYUVkdOFEBt12V7oUJEllgcepn2oa4LO2/x8pvyYy9QQ71MCBJ0nAMb/5bRprP58GCGR/PevRmyK7zDmeTCrl5uz8L2ko5kTBO0a+yILqPByNNen2ExRbKo6JbJvx35/6j1XkJX/3lU9/yU5PD9fHj99/ih1EufX+OYXseem/IJwP9d0Ys9V0ts0xS25crkTYslIT9jukHGtKiV0oRFhws7+1lV2Evk2MMUbZd9psJP8iYlKcjCcJj3c5SgP+oReYMPQmqA9MJr+VnfWxAlhZgsMT/ow3Hhp9NZvjNxItdQEQS2rFlAoyLzkcNjLAn52dwQ5bIdnkXapY0RXpWIsCYSoNuvEZYlxnWDpCqj/Q9TYbiuS/XJJ8n+x/exyyWU5haKd9314l9QFMKbNhLevJnMd7+HNTtL5ze+wexNX0FUNZT2dgLnriO8adNvtD9WJsPszTeT/8+foPb20HvHHQgHfgY/e4+XxbXuz/jSsWnkYoFvZqtomsovVs2nzacCYBzZivqDq9nfch23Tbfzt9378Pn9pF71Rb7+9a8jYtPJFO2mTqdWZ7FzL3Ss9Swb+y6ClW9h5PZPMjNymKXvvIkjw2Pc8dB2rrnmGlauXPlrz+VgrY4miiQVGVkQuHj7IY5Wdb67rIe10SD3pot88OAovX6Nx89d/JLr+33Cmp2l9OBDlLduRWlvp+nDf/WSsRl2sfg7rYs5FrqTkgAAIABJREFUlQqTN95I6b77AdAWLEDr70cMhVC7uwmsOZvCz3+Bnc8D7vGmpdD69biGQfS1r/2tM66sXI7qk08iNzejdnYiaBpiMIiNwLFMFUUS0GSJBwZm+PzWu/na0ACxbfchNzcTu+46oq97HebEBP6VZ53s2FQYn2s+CJ/4W807Dvzxk8+DYXjKL+kP07T4x44zpNYZnMEZ/I9Bbe9eCnf8nOLdd2PncmiLFuFbsgR97x4Enx8pEce/fAWJG66n/PA2Qhs3nCG0zuAMzgCY68o98H1u2nkTETXCgsQCljcu56zkWSxvXE5UO7XgW6+a/PuNj9G9vJFL3r4YeU7FYdsO2ckKsiJSr1g4jkM5Xyc/XeXgk9OUMjr+sILqk5E1CVEUvM+rImbdxrF/8zlavCXA+a/rJ9zgw6zbGLqFUbPJz1RJj5WYv7aZcMKHFlDwBeXfyDaqmK6RGikRjKoEYxrhBt9/6STdMm2qBYNgVHvJHC7HsLFSVcSQghRSEeQ5C6eRIqXHJygcKzJtmjy5IER4TTPrmqPEZOmUsO1v7R3nM7Npqs87xIQoknVOtX07HXyigOOC8YK5d4MiE5BEVoYDLA350EQRwXG56dgMGdfh+rYG3t7WwNK5UPBZw+TanUc5Wj05aLzDpzBdN0/qDlUFAcN1icsSnX6VpKLQoEo0KDK2Cw9li8iCQEyReCpfwQF6Kw43Dlms7ozRflU/wgvO7SV37+LgeBEnKOOGZMSajTJcwsHCxzS2VUQQa/iFZsJiJ69e3MrHrliMT5FIl+v8at80161u559+sZ+fbB9nWVeMTEBk6mAWO6nxd69fQdYwmc3VSM/W2HVglmKmhhNVCIoi4aBKNKBQrplMjZVwIgqfeNMKLmqJUbYd3r53iGpWZ5UjM+7aHHNtL+vJcnjbghaWRgK8rbUBWRTYX67xnfFZrmmK06jK/PXBMQZmS7w/GKVRkvjM3QfZuDDJup4En75rgIhPpqhbtMf8TORrtER8XL2qjbXzEvz1rbsJqjKThRoBRaI6R+D1N4UIajLv39RHQJVZ0hYhEVRPO0ZM2+FHT49yNFXmI5ctJDTX1Vs1LEYNkx2ZMq4isjVbZEw3GKkZ5C2bt7U28NkFHScRlwfKNQ5XdCq2Q81xWBDw0elTsVyX+cHTZG68AI7jcOzYMbb96lc4hw6x7IL12Jk0pu2QmpkmPzVFurWNxeesIRqNkkwmicfjx0mU7du3k0wm6e7uxnVd9u3bR1tbG8PDw2iaxtq1a2lvb2f//v10d3ezZMkSAr9lNul1O4+SMS1uXdmHnc1w//33e+qv+Yt5pH0+u8o1Lm+M8pkFHRQtm6Jl84GBEY7VThANiiAgAHes6md19NQiSt60eCxf5rFcmUMVnbPCAWYME8NxeXt7A+dGQ7+WQP594vDhwwwMDLB+/fqXVBmBp+z6/Oc/j2F4x9/U1MQF6zZSHJTYPnEPkuSpp57LkHoOr3vd63jkkUfIZDJceumlrF27FvCs2tLpI7juQUqlPdSNFIsWfhpVPVkd4Loun/vc5+jt7eWii3qRJAu/vwuIMDj0UzKZb1Kr5alVwziuiCiAIMg0t3STyx0gk26hq+vPWb/+SgDK2To/+/yzVPLeM1GUBC59z1K2H97KxMQE5XIZ234eaTCn2lq7di2XXHKJl6XyIrCsMuXyQXR9Esc9MU702gTV2jCZzLbj9n8AshyjrfU6bEfHMNJIUgBVbUQUVUyzQDL5alSlAVkOIQgSIODztb7kdXrhuftDFMMc1+X+jPfciSsycVni6UKFX87msVz3pHvodPCLAudEg1zaGGVh0Mf6ePglP3862K7LLZMZvjeRJi5L/OfKPjRRZKpu8HShQslyuKwxyl8MjHCoorMw6GN1JMDZkSDDtTq3TGY4WNH51tJ5vKbp1CxS13VJGRafG57iSKWOKMAzhQr/PL+dd7Y3Ij533i1jzqbqZcybpnZDZtArbprVOTVWFsae9iy9OtfBvPXgT3gqGn8CEj2eYqsy66lv9IJXhDdrnoWcKHt5OeWUR4xVM6CGcJe/kTt7/4TR3DT/64m/QaykvH2QNGjow80MYrgu9yc3cEXqQQT35LlLWYkQMr38nqwc4afNl/LDFX/NOzuS3NDeSMW22VOqsb1QodOnck1z/IVH+4rw5WMzPF2o8Hi+RECS6PAppA2LmCLxqkRkLl/t9N99Y0uct7U2kDEtuv0aS05DJm7LlijbNlckf3+5s79LOIaB+BLPopeL554RrmFgTk9jTkxQvGcLxbvuQvD5sNNppIYGpFAIK5cjdu01RK68EkHzISgKgqogyDKCLJP+5v+hdM89WLOzIMt0fvVmQhs3/g6O9mQU77mHiQ/9FcGNG2j5+MdRfRVoWoxrWViZDENXX4P52qu59sIradYUbl/Vz42Hx+nWVP6h9AC1nlfz+Zu/zTlr1pBOpzk6OAh4VrDNzc3E43Evh2/0KWha5JEQc5iYmOBb3/oW8+bNY3Jyko6ODq6//novs9O22VuqYbnucQL0s0NTpE2LRkXmsfwJ5U+LqjBtmHx5URdvaj3xztteqNCsKXT6fvtr+0rgGAZTH/8ErmVRuvdecBzk1lasqSmEQIDOm28ieP75J39H18l897ukv3IT/jVnE3/jG/GvWIHc1vayxqbrOMft+ozRUWY++znMsVHMySmcWo3kX/4FgXPOwb9yJYL0u8vZfA6pagpRENEkjZyeI11LE1bDxLQYjf5GBEEgW9F5bOQAe6YmePjoOFP1vdi+Q7hGA3a9FVHJokR3IeUv4ntNF9Hw4F1UHn3Ua0QAIldcQfS616HvP4D+zDYYeYxqSkEK+nAFhUivQKx5GFmzEC/6W1hwKfoT95DbeoDCY/sRFQVHr4Mo0PXVLxJYf/Hv/Dz8/xVnSK0zOIMz+B+B0gMPMP7+DyBoGqGLXkX8zW8mOPdj+wzO4AzO4Nfhlwfu5uNP38imtk38r5a/pilxIn9J8ckUZ2vsvHcEx3ExDZt6xSI1UjqhfBIg1hSgoS3I1FCBasFAksUTtndzaF8Qo2tZA4WZKqbhYNZtbMsh3hzAdVxkTSIU1wjGNBKtQUIJH8V0jUijn3rFpFIwyIyXEWXPmq+5O4Jte+vxhRTa5sdOmwnluC4/m8mxp1TjgniI9bEQqiiizBVhs6bFrmKVvaUaEUWiXVO4uCGCJAiYjsuBSo20YbE05H9FNhq7ilXuns0jCAKNikxSlfGJIg/NFedflYiwt1xlV7GGTxKISBKXJ6NIgsA8v0pUlvnRVAZVFFgRDrA+FjreqfkcsqbFkYpOu0+lVVMwHZdSTuff7x5gCBtTFLAEaPYpjAdEUrrJoYiI8SIF6EWywmX+ANJQkZawj4+pVZYUHC6fMumsOsyrOAQtl8eaFWS/TIMlEC+ZhGoOM0mVyRUJigkVqWji5uqM1w3kiMrqgoPeEcS0XOyKyXn7C8SrDoImIfpkRJ+EldO5xWfxhcU+ZAEsF/oDGhcnIvwqXSBlmPzbwk6kuQJ8zrS4e7bAkpCfFkGktebSFfERC2octA3uz5WYqZukDYuMaZE1LXTHZWM8TM20yNVMNo0ZXDRcY2FDgPENbXzt6RG2H/NC7l3XRRIFWqI+Ds+UX3CmHMLJUdTEzzHEqZOWJHwJ1rWsY7Q0yqbOTWzu3kxvrBfm1nnrjnE+deeBk1RMTlBGqJzQ0jh+iZWrWti0vJkHsyVmDYtZ08JwHK5ujHJDR5J1sRPh82O6wQcHRnmqUGZFKMBrm2JcnowSlESSqkJWzzJVnqIz0klEPbmhZdYwuWrHEUq2zV2rF/DAjgk+fZenKLp8WQvvvrCHt377KUKawgde1ccjR9I8fHgWy3FpDGn85M/OZWCqxKNH0zSFNdpjfl5zVtsrsisE+LfhKb4ykqLTp9Lj1/BJAr+aLRxXHHTP/b3Tr7LaJ9M/O8lsaoZEIsGSJUtOsot7PuxCAWt2FrWv75TCuG3bZMbHGd+3j+knnyQ7PY2t11ly+DChQuG06xMCAXxLFuMUSyhtbSidnYh+P/qBA+RbWzgYiTBoWdTrdWKxGKVSiQ0bNrBu3bpT7Al/W2R/8AP23fFL3vX2D1ANhbgwFub8eIjdpSp3zRbo9Kl8eF4zf9KSOOnYbdelaNlYz9kZInDp9kNM1E1aNYU2TaFZVciYFjOGyUzdouY4+EWRvoDGQKVGQBSRBIG8ZROTJS5uiHB1U4zNjac2Qfx3w913382RI0fYvHkzW7ZsIZ/PE4upiOIQl1/+UXp6eshkMszOzjI4OEg6neb6699CvrCfR7bdzmx6mGhUJBg8is9XQBBMRNFFkoI4jk5j48W0tlyL6zoYZpa6PkWhOMLw0A4SDS6OM3PKPoXDS5HlXur1FIoiIIoitdoollUgEllLJvMQjiNQKPSgqlmCgThLFv8F0dBmHNtF0SSODB3ktttuI5FIsHDhQvr6+mhqamL//v1s2bIFgI9+9KP4fD6KpT2Uywep69Po+gSS7JGZ1eow2eyjnOLLC3hkVBvh0BISiQuR5TCq2kgstgZRPPndNF032VeusToSIPEK7VVfDlJ1k3+fTNOsKrytrYEjVZ0dhSqD1TrDtTpxReJT/e3Hbf1eKf7uyDjfm0hzuj6bTXM5VwuDPlZGAgQlEdNxGarVyc4VfldHAiwM+o/PM/5QMByHa3YeZaCs84vV/cfVmHnT4p37jrGzWKE2pz73iyKCAF/sb+HqCB4ZVRj3some/LqXO6P4PetA15mzk2v0LAHDzaAEoTQFA7/ktONHUj2Cat4GCCU9QivRBwsv92zjXi70okeQ7bvN+2fXPQVXvBsu/gdveeYIpI+C4sc59giCXkQ4510w70Ivlyd3DMwq1aXX8YvtW8Afp6PnbFZGQoR+ywyzl4OBco1PD07h4tKoyjxTqDBcM+j0qdy+qh+/KJK3LB7KlrAclyubYnRop6rx/9BwXRdrZgZ9/370/QdwqlUEvw+1swutrxdt/nwEn4/KE09Q2nIvViqFnc+jdHSg9feR/sY3CW3YQHD9BZ59n6IgNzchJxK4toPc2ICUSIBpYoxPYE5NggtKcxNKezuCppH74Y+YvekmcBycSuV4IV7QNMKbN+PW64Q2biRy1ZUnqU2KuonjeGSYKIAkCkiip1xxHYfarl0IsuzZvZ0GuYrB4GyZlqiPmmEzXdSZLujsGsujmw66ZaPMrc+niEwVdMI+hdef3cF5fQ24rsvI9ddT276D0EUX0fm1r2LNzjL6nvdSP3gQADEaJf+Lu/iTg+M0qQojuoEiCDx17mLCssRdP72VkZERajXPVrC/v5+3ve1tv/a6OY7DLbfcQqFQIBwOc8011xCPx5mpm7x6+yFSxsnK/4Akck4kyEClxptbG+jyqTyRL/PTmRwAgxuWE/w9EDYvBTufRwyHjxNFruuS/trXSN90MwDR119H4vob0BbMp7ZzJxMf/BC+5cu985zNUrr3PnI/+AH1I0e8Y1y3DnN6CnPEy5oPX34ZzR/7GEpT0/FtFu/ZgiBLCJqP2u7dVHdsp7Z7D1p/P1pvL4U77kAMBgmcdy5KUzPhSy4meP75bBvfxice/QS90V6WNy4nGUgyXhpnccNiruq9CkX05ulBJchwYZjmYDM1q8ZYaYzx0jjdkW4eHn2cZ6b2cqS4i0a1iyatn5RxiKna0IueI83pwDBlHGUCQTzhiiEg0udfTMEpka6PIyJgYyPbKrkjf09rJMy1rSLnjTxL9cEH6Zo5sQ05ZOPaAtVEiIikI5tVKtO+44/8UJuOqDgURwIIkkuk0xubouIgiCB9+Cs0brz2dzAC/mfgDKl1BmdwBn+UqA8Noc6b97JCGh1dZ/jqa0CRmfejHyGFX3kX4BmcwRn894ZZtxnamaKY0alXLEzTRlG93AzVJ5PsCpGfqWLUbRzLwbZc4i0BAhEVWZVomhdBFAVy0xUe+I8Blm/qQAvKPHvPKDPjORxdwJLr+KUAZv1UOxhBFE6y3DuxANZcMQ8BSI+XyUyUibcG6VrSQGayTHN3hHCDj2BMIxTTUP2/f39up25jHCvgyAIzEsTDGl84Msm3auXjRMlz/zcqMlFZOsnG5zlsjIdxcNleqFKbUyWJwHs6k4QlCd1xyJkWv0oX6PCpbIyHOS8WomDZzBomj+XLbEkXkQVvnv/8wphfFAnJIrOGRUKRODsSxHJdhqp1RvSTO7/9ooCIQMVx0ASBG3tbeW9nkqxp8YVjM/xsJktxjjwU8LYVdKAiQoMg4gNwYBKbLh1issi5nQkaAypxRWZdFUoPj7GnbpASHB5oltkdP3GdJBceXN5Hv1/Dyujoh7IobSGMrjAVx6FatyjnaqQen8TI6bTP1kki4ACWJCJqIkrVPrFzc1DnRZATPpy6jatbOLpNqW6xNV2kryNKw2t6ecw2eKBQ5vF8mf6Ajy8u6mSZILFvIMNhw2AgW2FotkJSFHlyJMfU82wMQ4rEolgADRAsB1mTkBQJWxGZnC5Tr5pYuFiigK1J1GyHimET9slcvbINVZIQBKhbNlN5nWXtUd6zoZeRbJGnx45wz8QPOFB8iLAa5iPnfISucBdBJcjR/FG+uuurVCdGWWt1cX9kDFOGG5bcwLrWdQBs6NjAVKHGdx8d5s1ru7joCw8DsGlxE69f1Y4vonJfvcbf9rTSqJ58z9iue5J9VdWssn1mO2ua1xBQAqcsB8jlc7z1nrcyVh8DICyF2RDawILyAiLtEZJdSZoaV3Ld3lFcs0CMGeaPdGEaNt97xzn4FOmkLCeATLnO08NZzutrIBY4tZO1YttkTfukLt3dpSpfOjbDqkgA3XG4JBEhIIvEZZlmTWHDUwexXJclIR/DtTrTdYvrmuNsTIQpWjZXxoNMTU2xf/9+nnnmGVzXRVXV44qb9vZ2GB2la/8BWttaIZdHHh1FmPWyKfRAAFNVcRoaMObPx126BGfrwzQ9+6x3f7/g92Hoyitg1Wpiixd553Rueea738McHUXp6MCcnMQYG8OtVlG7uzFGR8F18a1aSfDaa0m85jWYgN//Mu25AGN8HHNiElFTMUZHMScmqDz9NPUDA8Te8Hqkhkbqhw5hDA9T27vXKzCvXs0vP/Epbi3qjOkGMdch4NO46+z5tGreNXAtC/3QIXAcfEuWnNIxPK4b3D6TY7BaZ6JuMFO3CMkirZpCXJZ5Q0ucVZEAqihiu+6cAtNha7bElnSB+zNFsqbNZxd08KftJ3KOHNelZNkvmhtXsx0c3OMFMdd1GdUNvjwyQ1iW+Ke+tpcs5JpGHde2Uf0vX/Fm2za2baOqKpZlsWPHDmZnP4k/cIilS79ES/Nr5vbFoVQ+QLk0wMjoN6lWh09aT70eppBvIh7vYM+eMOvXv5GW1h0MD3/5BVsUgSjFgkxDrIuJ7RmKUw6BBgg1qiw4+2r6Fl+PFgiddKxe1pSLKMpUKsPsePbvqde3Y1nzMM0UwWCB7q730tFxA64b4Uc//kuamw4TDtcQRBlZjqAqCUKhxRw6NITPP0UgUMUwMrjPU2CpahOO470HZTlES/NriUZX4/d3Iz4vP0iWwyjK6UnL0VqdjGkzVNW5e2481B2XpCrzoe5mwrJEf0CjP+Aj8luSBgPlGu/YN3xcKaWJAvW5OYoqCMQViVnD4pxokB+f1Yd/rtnFdV0m6yZxRcYvCswaFo/ny2RMi8saowxW6+wuVdlXrvHzVJ6FQR/vam/k8mSUvGmTMy18ksiKPzKbzlTd5PIdh3GBzy7o4MFsiWfyJbpHH+ANapEmwaBNNIk6OurgA8j54VNX0rMRWs86kVskiJA+DEYV9LynnKqXcBEw1AROOYufF9jB+uKQXAC5EU915cwVzhvmQ8+F0LrSy01yLE8RNr4dRh7zCCgtDJF2Lyfp7Ld72UoAlTRs/x4URuHV/3yK9RUAxUmP9Aq/dC7rb4rqzp1IkQhqb+9vTDqZjstThTLz/Bod/4XqFkfXqTz+BPXBo6hd3WBbmDMp9P37vWxu18EYGcW1bQRRxMpmEf1+wps3H38HPZcPhCgi+Hy4uu69lwAxHEYKhzEnJxFDIZTOTqRolNqOHbimiX/VKmp79oD94laUgqqC6+Ka5mmXuYaBu/ocwgv6URsS2MlmlLZW8m097Mw5KLJAvmoyXdSpmw51y2brodnjOZ0vxNqeBJsWJlk7L0GuajKarVKtW7zmrDa6GwJkKwbf3DbEvz9+DON4856LIBfRkvcih44gOTE0az6u7cd2RCzbRQrvwzaDlKc2s7ZjEX91yQLW9iRI/eu/kf3+9+m+5RYmP3YjVmoWtasL0e+ntmsXrf/yL+zadDE37BlGEgQM12FDPMy2XInPxxQO3XErwPHmmV+XgVmzHbYXKvQHtePzA4C643D9niGeKVS4eUk3UVnCdFwM12VR0HeKk0PVdujdtofzYyF+tqr/Jbf5u4TrOBR+8Qum//4fUOf3ozQ1e+q8qSmcQoHwqy+h/ctfPqWONv2pT5P7wQ/wr1zpjTnHQVu4kPClm9F6ewlffDFIEtXt28l8+9tUtj0CQPJDH0Tr76e0dSuFn952YoWCgLZoIf5FCyhuuR/XMnENk5bXziN+0UoINTOVPsi33Ay3Fg/SHmon4WvgYPYgpmMgCxqWWyemxdAtHd3WkUUZy3kRK3FXwDXjWNVeRCWH5BvHMWNQOoeQ5sd06vjECEE5jqJUydVnsf17CSg+OkN9LG1cwoqARvueb9BXLhDOHAXZj5Gcj5AdYbeg847WZlaGz8MtvYanj0hYls37lNvZkNpHmCqLEuM8GVjDnV1/y66SycA4xFSX1SGBi8d2YEyMce6Bx3AlkSdXbuKnLctBtQkLFcaDadzGIT6z8VNsXPSHs6X8Y8MZUusMzuAM/svg1GoYY2NoPT0IyolOftd1KW/dSuDss4/b/bmmSemhh6gfOULk8stxTZPqk0/i1A1cwyB9880kP/QhGt/3Zydtwy4UECMRnEqF+uHD6AcPUrpnC9VnnqHzW98itP6C/9JjPoMz+GODbTkgQCmjY+o2pmGjaBKBiEoxrXNsbxrbdHAcF80vc2T7DKpPpndlI4m2ENGkn0jSj/IKFQgvF67rkp2scGxvmkNPzSAIUC0ax3OUABSfhKxKWHX7tATUadcruOB63finXY6LKHrsS6wlgD+i4lgujuWgV0yKaZ3W/iitfVGiTQFiTX7K+TrJzjDxlt/O7/t3Adt1+d6+CbYUy6QKNWqOy6RfwHpeh/QbyyKf7GphV0jgMddEEQWmDZOsabEmEmR1JMBZ4QBFy+bH01m+Opqix6+xLhpkbSxIs6rw7fFZ7pz11BuqIOCTBM6PhcibNtuLlZMsY5KqzA1tDbyvs4mgJJK3bNKGRcGyWRLyISGQMkw6fSpO1aL82ARuTCPVFcQvCBydKDCarrA6ZRIfq3LUNvn6Ih8PN0isjQaZqZtMGyabG6K8viXOrGExoRtYhs2+3dO8LxBm42tO5L5YjvuS9mCu6+IUDaysTiavI/dEOKDX2bp7iv98dATbcXFcl9VdcXTLZs/46VUscAp/xcbWKG0tIdY2hnEVkZm6yR37pulqCCAKkK+azBR1Jgs6huWgAgbgB97eFONtZ7VTqVvcN5jh7qkcBxxv3AeALllm0rIxcfnHUBRVEpjVTQbqBoM4WLhegDou9ty+NSHi9yv4mwL4Gnwoc120S1ojXLashbDvVDXejw7+iFsO3MJEecLLmnNc/rLpjVytrMHdO4DrOLh1A2NoCCceobrtEYRSBQJ+Rpc08i/rJslGvPN/00U3salz0/F1f/uRIX6yfYzb//wCgtrLI34P5w5zy4FbuPfYvVStKksalvDeFe/l4i7P0sMwDHYP7+bnj/2cw8XDaNn9vHogTl2SyAZ1xmJlnlwkUFe9fZIciZDbREHyVGfx7k9z74VX4fsNOm+fLVR4w+5BKrbD6kiAkmVjOC7Thnm88Px8CMA/9LXxycFJ/q63lQ90e4VH27YZHx9namqKvXv3MjU1hTNXKFuzbBnLM1nE3bvQJyapmiY1yyQ6OoYtSViShKGp5OJxMvEYVc2lv2zjF0Sk6SmCmezx7dvJJP5Xv5q2616HFAqB6zI2so8HYhO0htqOZwhKosT82Hz6Yn0n7b9rmljZLEpzM1Y2S+EXvyD/4//EOHYMqaGBru98GzmZxC4UcCoVXMPAt3jx8WwHY3SU0oMPUn5oK/qBAzi1GlgnFzXEaBT/ihVUHnvMs9NJJlH7+lA62vGvWMH0P30SwefDt3gxpqJg79hB9A1vQPT5sGZTGKNjGIODxwPD1e5u4m99C1I8jmvbWNMzRK66CmQBKRlDFH24homdySC3tnq2Tq6LUyphzcxgF4so7e3IDV63uaiqmI7LO/YN82CmyF/Na8ZwXKbqJrtLVY7VDG5e0kWbpmK7Lt1+lWZVYXepxrv3DWO5Lhc3RNhRrHKk4hUaBcFrBjg/FmJ1yMcyv0Lr5DEODg3RVsyQmRijMDNFOZdFVlSu/OBH6D/n3JPOW3E2RTmXRVIUKrkssqrhC4WINIeZnrkNTUvS0nItheJOnn32LbiuhSj66e39EEY9xUzqLur1aQAUuZmI/DocPY7P10Q43kmiaz7VapXGxkb+88c/5vCRI1z1qo209MVIpUZoaWljYrLA44/tI5PJEVYV3N1P0NQ1j/nnXoBeKjG44ykKKU+51b1iFede+yayUxPo5RJNPX1MHNxPKN7AiksuO14wd12Xn/zkB7juf5BsOoYgCDhOFEHIomn9NDauxXVtLKtEvZ6iXD6A41iEw0sJBnpQ1SQ+fweRyApEQSEU+s0ywp6PDU8d5HDVu3bNqsyVyRgbE2E+NDBKzjp5rtKuKSwK+lke9tMf0I6/L1xgUdBHWJLYmivxRL7MULVOf0DjmqY4iijwnfENkCHBAAAgAElEQVRZHsyWCEsiPzqrj/3lGkPVOktCftZEA/T6vczOO2ZyvO/ACN0+lQ92N3NVU4x37xtmW65MRBaRBYGsefo5VLumcF4sxOcXduI7jfr7FaOW95RNgcSv/+zz8VzN6vlESb0EqQFPjWTpc2RSEaIdHuETagY1eIpN4L5Sldc8e5Sa49Bt5fiXoa9x8dS9JzYlyghKEFqWewRToAH8cdxgM2M5mHnkVqqmiCUFcSpZbNsm0dpCq5LByE1TmRokV3E5VkmQrnvzwmgsRGtPD239/cTau9n9yOOEEo1c/M73eWPZKHtZUts+7xFX9eJJh+4CYvNSaOiFehmKE5A5CloErvk6tK/2jve/WL3kmia1vXupPPEE+sAA5QceBEkCQUDt6iK4bh2CquLUdaJXXIF/zZrfXmE1sQNu/VOPLIq0QrgVWlfAqush3PLi++q61HbuonTvvdj5PMEL1+PWatR276a2bx/1w0dOSyhJQQlRkxEUH2rCy8R1EZACGlbJoHIohRzVCM4L4WtW8TWJaA0gxZpxk0sxhTbqRY3CA0/g6DrRa64mfMklx5VS+vaHcQ/chSPPMNn9FlJiB/lSjUKxhjQ1QS6dZ7xQx1/OEytlcYCRSAvH5Ag106HdKjHPLODXKzwT7ODx1mXePr5EmVeRBHyyhCQJbOoQWNrTgaz6cBwX17awESnVbbbsn+ZI6oXqfFBlEQGozxFZr10dJu//KROVY+TNaQynhihIbG5cxYxZZG9hEOt5uXEd/iRFs0rNtiH9JrKpxVy1opXPn9/A8FVXgWUhRiJ0fvMbBFatwnVdhq+7Dqdcoe/uu9heqVO1HT47NMXOUhWADbEgq7fchmVZ3HjjjZ7d4Atguy4/nspyWWOUjGnxp3uHGarVWRH2s+XsBQiCgG47vHPfMA9mS3xxUSdvbn1pG9/nMGuYc416p84VK08+idLRidrR/rLW9Xy4tk1561bEcPi4+5BrGBTuvIvMd7+DcXQQ39KlnjJQVVFaWpBbW/AvX8HsBYvYkTvIV5/9NlWrgmWbuILNWaMmH/9RDUFVSbzrnYQ3b2abb4TbB+9gojRBRI0QVsOEJA23XOStd9bxb9t5fJ8ERSF6xcU4iwNsndjGgXiJMVlnRhRYXDQZ90usKYpMxmU0S0d1LO4PBrCBsCPQl7kMpxCjgynWyztZ6KZ42B9ma0xDtjWkup+c6tBWN5glSNRxWWhVOIscj4dMuuUOzp13Bf54C3IwgRiIc8hqYV5rktboCxqnjj4At/8ZLH6N14wwudN7hmQGvXdD8zLov9hT46YOeOrVRVfyjfv/iq/OWVDHBZVeR2U3Jd5XU7i+BtaGj1BZuJGtEw/zmac+Q39kGdPlLLYVpFaNIDkJhNE+ak6S+Lwxkk1DpO19OK5N2cqT9Cf5wqYvsKpp1SseE/9TcYbUOoMzOIPfC5xKhdrevZ6v7MAA+sEBjKFhcBzUefPwLV+OFIshiCLm9DSlLVvQFi1C6+2lPjyMMTzsdTG9BOS2Vvrvuw9BktAPHWbmU5+iun07YjiMUzrR+SZGozR96IPE3/zm3/dhn8EfOVzXpZTVCcU0xN/Fj/Q/MGzTYXas5OUaJU5v6VSvWaRHS8yOlcinagw8NonruC/6o0cUBSRFRBAFjJpFY2cIWZGYHjq5gB+Ka/SsTBJO+FA0CUUVqZZMGtqCVIte3lEpp1PK6EiKiGO71IoGhm4hzymsLNNB80toAYVSVqeQqpKbqVLOet3Srf1RfEGFQFTDH1aINvpp6Ytg1Gz0ikkhVSMzUebIjhmEkMU27U4kUaZV6qCh1I5vNkFJzeAKLqIrIaguiqCiljzLspI/w47W+zh/xSret+kd+H/Htli/LxQtm2+MpThU0UkbFrIgkNNNDuh1ess27VWXcGuI7oBGhyuQrRiERstcNlBBee66ywKCIKB2hVG7IlhZHads4NQsfIsbiLyqEyThtEWIzFz2wQvVMGnD4mhVJ67INCgyCVmkWj2K49SJRJYf/5xjWOj7s+CT0DrDVLbPUH58Eqd4mmwOUUBp8iP4FYJrmik9OsHtQp0vLfWTROQT+3VWSyqCLOBf1oh/UYL8L4fQD+do/tBqlKbfrpvctB3O+8wDNEd8XDg/iWk7PDWcQRQELl3aQmNIRSZLJvVDbH0AxzWYLLdSttvQZAVVUSkacZ4ca6NsKFSf12S7uDVC3bKRRYGQapMM2TQG6nRG6zx1JMn54QhPTuR5oFAhjkAVlzqgCQIfO6ebc4J+WsoWTsFAXpxAWJogFvHGsKNbVHbMoHVFECMqUkTFKZtYWR1zqoI1WyVy6TzEX0NOV8wKu2d3k85NMvy//5GzxxTkWAw5niBYNOCgl1+ALCNIEoIkoczrxs7lkaJRGt7zbqpPP0Ph5z/HPvcsZj7yWr60+3uMlsa4fsn1vGvZu9g+s52+WB890Z6Ttn0we5CvPPsVCkYB3dKpWTVqVg3d8jo5a1aNoCHyJnsV83M+vhbdwVFfgbPks0gX06TVNIao0zMDzTmXv7zTRVZ9XqfzHGFiKxKuLGGEgxztCfBMt8lgS5SjwWEMbQn9/f+MU9lBLvcw7110FYPFSbZNPMIlPa/nzxZdRovPx3BhmC/t/CElKcrfrHoXJcvmk0fHGMvtZ42c5KBeZGHLIhQBSqkZmnc+STgUpFYskg1GMCWJfd0LmQ566o8vDzxF39Q4ddtmtlplbyiELcu0t7fTM28eHapKIpujfMst1A8coNwYYCapINsQqNo0pA2G/vEGdsYrTNYnGS+PM1mZxHRNGnwNdIY7WZhYyEXB1SwcsamOjzJwcQ/7i4cYKgxRs2rUrTq7Zne96Lj47IWf5creK19y7LiuS/Wpp5j8yEexUqnTf0iWvS7zqlec0ubPx796NWIoSOCcc8BxUed1o3R0HM91sPN5XMdBTpxcHK88/TSle+9D37cPY2Icp1XB2TcNEtghB7vJxWoSkFa0Izgyym1TiKlTu94BXMkFBwTXe8YJ4QBiPII9m4UXZghJc8yTJiNE/BCPsKV/JT8993z6xBmWWCnmmzNg1rgvsIQHE+vIK16Dl4aL5bok3BqCWaUkBunKz9BWqeBTFNbPDHGfGmV/ay+ZWCOOJCPZFo4g8uodD7La1Yk2NOJrbGTsyG6UnXtZdMEGZEWlZf4Cpqt1vnp0lEAlx9Wxn+GLGlg1GUF0iXRVEETvhaAoDZhmBlHws3TJ1xjY+ykscQgBGU1chlBbzNFHjzE7mAX35LlT+6KlLDh3PSN7dzJ++CDZ5m6vgURRcIQTnw0qMv5CGn3kKGdfcTUXvvntyHPXVC+XGdzxFLmpCZ6641ZebIISbkjStnAxnUuWs+xVl1Cp1rj55psRhCydnYMEAjP4/Vew4fwPkBoeJDU8yMShA+Rnpmlob2P+uRfQ0NZN6tgQermEXilTr5RJdvfQs3INjuMQTXo2S47jIJ2mOPpiSBsWyx7bR7+t8149zbqmBpo6u4g2tTBlmBiugI3L0Uqdo1Wd3aUaw7U6B8o1XpjO+PymiLip014rMeqPUFS8YnhQr7Jh8giX6TkW9PezcvOVL0oYPJgp8tnhKfaUasdbej7c2cioYaGKIouCfpYFVBTH4mh2ivap3czLHkbLDmNUK6S1+TTZxwhnn0WxSkiYuIgYvhZoXkzw3BsQRh6F0ScgP+plQ9l1UAJekTDYCNUcHHsEcCDc5i2TFC8rSpQ8673UgEfaiBJE22H9X8OhX8GjX/DIpYVXQNsqGHkC9vzI++6vgSsqHumz+dMIDf2gRXhkfIjKti+xeejH4Lo8W1nEM7NJ9JqFpAVQAwF8wRDBeIJaqYhV16kWCtSrFQBkwUYWHSTBQQDK1snKDUkSSXZ1sXjjZhzLYvLIQaYOH6Sc85oIJFnGtix6Vq0h3tJGKZOmlJnFNk0KszP4/Bo+v4bruJQKRYSKTo+gEjt6DJ+qEmpuQTLrKNYoLWdNogQc6L4ALvkkdJ7j7cTMfgi1QPDlFeVfCVzTZPKjN1LautV7bgsCSsJHIJpGDMZg+esxxsapbt+Oa5oIioJbq+E/6yzU3l7sUhFBklFaWwlt2oja0UF9+4PUdz+OHI8S+cBnEIwSPPyv4Nje+Gle5inXfv5+j8ybd4GnPCtOehaLWgTWvANsyyP8/DG48G8wpmapPPUMuTvupj44hiBLiH4ZuzSXwaeBL2Hij+kEmgz8DQblehI7GEUOgOtT8emzaHqKkpzAFFRk10B2DGRsMB10X5SaGKDqKlQchZIp0kKGbmEace4uzvs72d31dvLFEk7qIK1uijZSdDiT3n7gMuw08wnrXYy6TUy6jTiIRP0KS9siBDXZyxdEwK9KJIIqYZ9MSbfIlOsIgkB/U4iuRICjKc+RIS5VUWspGsmxXJtB0nP4XR2fU0UwylQrKR6Z2U5Jkkg6Dq2GQbNtc2eyk7t9EoviC9h41gepVnpAsJhxHmVXajf13Fo6AotpDMuo4mP8cOir5J06a4UgHbZDZ11nTTHPwqqXx+gANmAKAqYgEHYcUpLE33R0s1u0WBK4iqd2nMcli1v5SGuVwC9vo/ED76fSPg/Ddvj3x45xce4w4U/dSPPHP07ihutxXZd/OjrBN8fTx8flF1Sd5lqZSy655JQx+9bdQ4zXDQ5VdM6OBDhc0dFEkbXRIHenC/xlVxPv62riz/ePsDVX4vMLO3lb22nunYlnvbGVHYInvuopJVtWwKIrPUL9BcjfdhtTn/g7kCU6v/lNQhec3HhtlysUf34bciKK1t+P3NqNEAziVKoU77yTzPe+69kAKgqhjRvAstEPHMBKpdAWLiTx7nfx8AKTmeIwlyaWk1J9PJ3Zy8OjjzKQ2wdARA+x3LJocbM4qNyrBVg9HuULH76V+9KP8X/338JA7iAxIjSLbfjNUep2hRoWRUkkL4poBrz/cJR5jX7sUI4vahWOqQqi65KwJHymhmCFmA5lkGwFXanjGHFARBDqOHoHl9rn8LHid2iyp48ffz3chdFyNumZMQKVSYKU8TsVJNemLoXQ7DKuKEOsG6Ghz7vPh7Z6Ctfnw5/wyCl/3MskVAKeivbZ73uEf8m7z9Ci3vugoR9W3+AR4qfD4EOMPPB37DCy7BAM9qoKw6qCKIi0BduYqc5gOt7csTXYylRlitVNq3FxmSxPMlubxS9GSPq6OFbZQ1SLcn7r+ViuxbqWdbx+weuRXonV7BmcIbXO4AzO4HcH1zSZ+dy/eiTW3r2eJB+QW1rwLV6Mb/Ei5GSSwi/vPO4X7ToOWBbB886jtmsXYjiM2tuD1tNL4Lxz0frnk7/1VtSeeV5Xl6ZhzabRBw4wdePHEFQVtbuL+vAxpEiE+J+8CWt2FqW9A23hAnyLFiG3tPy389c+g98/aiWD/Y9OIkkirfOjNHV79nLFdI1a2aSU0ZFVEdUnUUzrCKLA4LMphnenkRSRZGeIYEwDF/SKydRgAUEQkGSP1GnsCNHQHiLRFsSo2VRLBrWSQa1oUC2ZGDULURKQZBFREhAljwQKRjV8IQVfUMEXUug/u4lIox/HcbFNL/to8kie8UM5RvamMWqeUkr1Syg+GaNq0dIboV6z8QVl/GEVf1hBVrwJULVoUC3UKefrzAwXMes2gihw5ftX0NoXJTNRITNRpjhb4/DT01QKJwpwoijQuypJJOkn1hRA88vIqohp2FQLBoom0bsqieqTj2/LF1IQRcEjkWZrFGdrFGZrzI6WGN6TPr0l3/PwPMcqfEEF1S9hzWVJSbKIoVs4tovql4k1eSqwtv4Yzb1RZoYKFNM1Zo4VmR0pYZkvLP2ApIoEF4TIHE6jGF6BzBFtdLVMadEIZ13UyUB2gPeueC9NgSZc1+WZHfv50q4vEu1Weefyd3JOyzkvuv+u62K7IIsCOdPimUIFe+6AOnwqWdNmb6nKezuTqC9hl5oxLBxcnspXSJsW+0o12n0K3X6NixJhsqZNj199yWdZwbTYVarxvwcn2Veu0RfQaFIVbNfFrJhcurvIu9f3os6LIsdOLrQ4dZv6kRxS3Ic5XcGcruBaDvUjeax0DSnhQwqrIIIxXERuDpB893Lvby8Dtl2jVNpPuXIYXZ+krk9SKh2kUj0EgJ9eHAws8thuBakexZXqhGZXYytl7HCJaNNyktErMFMVis525LAfORymte11+P1el6NrORTvG6G4bRxc8C2I45oObs3EnK4e35/Y1X2Ezms77b5atkOmYlAzbHTL9v43HfaM59kxkkOYKx4IApTrFo8cSfPtG9ZwyZJmXNdG16fx+Tw7sFRqCwcGPoIgyLS0vJam5OWUyvsplw5gmnlMM4dhZNDrE9RMiQqrkUQH0S2S0GYJh+ZTLO3Dtk/uiNW0Fvr7byQeW8vuSYX/89BRmsIabzu/iYgyRUN8Aa45S7U6Qso0aQs0ocghAoEeMrUMQ4VBOsJdNAeaT/vjqVAvkNUzzIv0nDTmxkpj/HDghzybepZUNUX86Cxvfthh4biLYoNvw3pE08LO5nANg+jrrkVpaSVy+WUIzysAu65LKnUXxeIeFCWO/cNnMb7/KMb/Y++9o+S67jvPz335VU6dI7qRAZIAmAkwKZGUTMmSJVnSjCxZsizZ3rNjezUOs7J9bMue8RnJYRzWtiyPHJRtZYpBlEiKYCZyaKAb6Byru6u60qtXL939o0CAECGJknfXu2f5PecdNKrq5fvuu/f3/f2+3+GIIK7xlbeN8JXWNJrQCGSAJjQ+ctNHWKgvsOKssO6u88TCE2TMDPu9IbrWQhTbQrVjaLE4jltj5wPjDB1dvijxg2FwvtfgC9c79DkJdpfibJlqklxuB1f0TYOk/+pXaGpFGuUxakeeRDtURUYhWlGgnw0QrYjIVqirCr/6Pkk9003kryCFgbggVRYJC0W6hFonscRVtDYeA9okWSP1k0RqGsM9jtk8cpEU6Wx2Ii5Uyxkpg939u6k4FbRAIymTLK94LGj7eM9XPsO1Zy+XvaqN9JH7jz+Ld/Yo4X0Po9XbCUEtS+VPf0IyviPF1vw2wiik6BRZrC+AEGiKxkh6hIHkAAPJAXoTvZxcO8lifZFT66fapKAex9Zs1pprqEJlNDNKTItR82pMV6f5+B0fZzR9qSrLj3z+4Jk/4GjxKHcO3EkzaFJyS9S8GikzRYfdQd7KM5gaZFdhFztyO1BnzlP+xr8SWgEiaRLZbUk5fU7glMfxGkW0ni7y97yLws57cJxppGwHDGx7CE1L8IMgpWRj4zkajQkMs0A8tpm5uf/JwuJn0bQUQmj09b0LIVTCsEG1eoIgqEEkaa3PozQi8CTCV7DPW6hGDko6ofQJ1SZhsog2H6A0IcxAmJGEGYh1bIOZDYKNdaQu0WoBWl2groMyraInQ0bvLiIUaLkKrbqOZQXUFZODA5s5NLqNOXOArefnufP5g9jFEKm2t+2ldRrZBK5TINcXYuQEkZdhZjlJ/Og8G2aBf7rxdRzecSlZQMiI90/9JetnMwg7TuQ6PH/jARYyg0ihcId8mEEtpBYKXKlQmJli+NmzdO0podsG62d1qnMJwpYKSIykT9hSiTyF/liF/R0zdMca+LkdiP59ePEBVqoKj3/rSUqVFunObgZ3X4PR3cehM+dwaxW0xWki00bxXGJRQDKX5/Z3v59Ne679vvdz+fwETnWDfN8Aqm6wPjdLYXCImRNHmTz0LAvjY9TX1ygMDLF9/+20IghiCRpBSLPZZPdAL9/5xJ/TarRJiHz/INmeXlZnpqgUVxBCQcoLcrWKgmHZFwkLAM000U0L33UpDA6xsbKMpmlYyRR2IomVSDJ8zT6ufs3dlx33V2cW+ODkKu/8yifoX565+LmiqtipNEJREAg6hoZJ5PJ4zSZe0+HU2BiuYb7QmJFCcHrbPkQUcuPaHIVWA0VR8cOQxaFtZPsH2bS+iLu6QqW4QnV1hV13vIYD7/gZDMti6dw4S+NnaJ19hHTKxM3txludYlWp0/TW6V+dZJucQ6g6bqyfUKrQWKVDXSOlX5IhDi/0XaqQhFKw2EzjkESqOmrkYUQ1BmIVFAGRhFIrRi0w6Y9toCsvHRdeuOSIFxLK5OXjuVAK/EgBBKYSXCw8khJQtLagr4yQEuadFLONDL6waKlJnEBjpQIx1aNgNrDVAF0JMdWAvdklNCUikgJFXDqukxtdnIr2EO8dJaE4GK01apUqrrSoOBI0k2ShE920sVIZ+pIuI+N/inHP7yN690DHNmisMnX4Gdz4EKlMjliuQLqnGyEUVssN6pPT6OtFrK4uZD6NW1rFshM8+/QzbHzxn1CDEBFPoCZSKIUc6sAA+C4yDBCKgl5z6f/6/RjNJrVUioYiUcIQNZ0nt76GnrToe+8B7NUvIZqr0LkLYjm8U0+jJm3UrbdBx/a2J5iiwus+Cgf/BMrTSKcEdhZx1VvbhNHm17QD9i+Cv1KkeeQwQtdRszm0XJbypz9F6Z8+T/rmTSQGIBY9j6Z5NDe9FnvqIcr5vdSzO2kkRmnGR3Aym8l97W9Rv/0kBD6qHiEDCOoR8gpmbblbuilc7VF5bhrFNNDNOlbGRzUlsrCbjeS7wUijZrM0ZuZonh8jER0nqx0mCCxqThdWtIIVd5m8vxMZCcy0T3ZLg/RQE1ezCeYiKrEEpzLDzNPBnOxkXhaYk52ck31EXD6Wt2ihmzFS9gUZWympugH1VoAioJAw6UpZdKVM+rMxhIBSuYxROku+doa3+19jRGkH8xtKkpLRx6rWyaQ6wvPp13Frvs49R38J5cJ7L8yOEG3/CTS/gVg9267eCz0wEm2i2G+0A/ydO9sVKJoFp78Mp78OqtauZAwvT76QwIyd4PF4kopq8jkdKvpL51QAvU2NNdPHUwTdmEREFPGxEARCYAqNRtTe/rAf8N/CNLuk1iYX4gWIFaD/uvYzrpltHznRfrYRAmpL+I/8IR83PD6dTjKsbmdq4v0M5eN89Zf2889Pz/Cxh8bxgggvjEhbGl+c+jzy1AlGvnkfix/+z6x09/DGe97BW7qyPLRW4XWFNH+1cwhoJxjkdRUhBCstn2uePAW01SU8KdmdsPnUVZvoNnR+9uQU31qvklAVGmHEx7cP8K6efJsYvv/XwWtcqvqcfLR9DjJsy4C+UCWaHoT33d9+zp74H1CZJdooMvFpBSvr4bsmSscQPX/0cfS+XhRNBQLm3vkmnHOXEzTxm6+jeeQokRtg9lgY+yy8YxGRG6LEEuiFBN5NPYwNRzxcn+Xb/vJl6ytSsqkF9zaqdPo6r3PXMDOb2s/3+W/zj8Eq/z1/SZ60zxN8sLLGm+oNFGBVpnk22sa0PsqKFud09tvEZMCR+KV5ghnomBvXkjJfx1XdW9nalWRzZ4LjiyskdBs38LlhuIuGFzK73mCkI8H+zYV20sLko+02nB1u+xF+75xXSvCbtHyJETUQsezlFbdSQn2lXV3VLLcJrmOfh+KpdvJELAu+235mNt0Ob/lbolYDp7SCSA+g6DpmPI7yckklKcF3aAj4xPFPMF+fpzfey0BqgMHkIPs697HurtMV67o4l5qsTPKrj/wqM9UZPnz9h3nHtne8QmL9G/EKqfUKXsEr+LERlMvUHn6Y9f/jrwmr1bZes+dh7dqFtXs3yde8GmvXrpdky34vpJQXZVteLvkkpaR63zdxT5/Gm5pC6+qk4z/9J7TsFXTCXwHQvmarszXyvQlU/dKA3PfC/9uk4v49EIURj/zTGc4fWb1Mes6MaaQKNquzte+7rqII9rx2gDCQFGequI12IFLVBL1bMqiaQhRIfC9kZarCRrFJ6L8Q/BDYSZ1YysBOGpgxjSiUhEHUlusLJYaltqXyGj5u3cdzQxRVEEXyJX7RhqUyfHWBeMbEb4V4zQDPDRECFs6WSRZsfDfAqfkELzpPRRXEUgaxtEnHQIKBHTme+dok1TWXMIwu28/QVXl6RtMUBpJ0DiaxXyZB8XIRRfKiBKDfClF0hbGDi3SPpFF1hWTOIpkzCfwIVVeQkWT+TJnzh4pMHV8jkbVIdVjohopTbVFda1d2aaaKpis0az6KJugcTNK1KU3HYAK/FTFlevyrX+FM2GAhVPGFhYia9Mgad/Vup4FkIwixVYUuQyeuKrhRhKUo2KpCQlV4S1eWtKbiyUtVa5Ug5K9mi/zLSplmFOFHEv/Cl0OWQckPqIVXngS+qyfHW7qyJDWVL6+UURDEVYVT9SZHaw6LrcsrAtKaSuWCHFH8wmRqd8JmS8xkXyrOtakYiy2fMw0XieQLy2XmLnhN5XSVP90+yOsKl3w9Kg9OU3tsjr7f3Y/QX34VopQS6UeXVew0x9ZZ//QYBBK9Jw5ahJOcQBmQOIyT23oToVLHdZdwm/NUVo/jhOdp52OCEBqm2Y1WzRE7fw2R2sTJj6F6cVQvhRJZiBGXUG1S909i2t2YdgeV6lE830EISd3PoCkBCi18ZZTrdr6XfPZGbHsAgGDDRWgKauJSm/ZXGrhnyxiDScqZiAdPztIKdfxIp+VHuEHEZLHC4+fWaV1Zrp2RgoWuqhdkfwQS6E2bfOxNgnLpforFB/C8VRKJnfh+iVZrmVTqGq7a/RdY1pVJNIAoajE//8+USgdR1TiqFkdGAfX6GOn0PtLpazHNLgyzg8CvcPjUb7LemGLRVznPEGMNjzBy0SKHjSCiKQWWkBgCqpGgQ4vo1yPOt1Sq0aX3rCIEGSOBpSh4UYAXBnhRQCsKkUBCgYyukzVshNA5UV0n1xC8bSLG7hMOnfM+XtYgeNV+trzx3aRuvPn7tiPHabCy8jyra1/E90/Tas0CGhAgPEjdF8OYzqDNlZFKwNRdEZ+9Jsbd9rX8xerzOHqEJjQKsQIJPYE4N83vPjWAdnLiyvvUBBsHNFrbQmTeR3k4Tea4h3nhORGxGNb27cTvfRUr0SOsdD4FF5q5KmiYgJUAACAASURBVEwyyb0YsX4U1SAI6jSr00SH5zEfcTBPRjxzPfz9XQrv2PDJnNjMX19/E2ZrnQ8tHeLMaMh9lkbN26Df6eea4ijF2BM819luWALYL/roXNcZLuqcNtfJ1CJ6Vj12nm3QMMFJWzTUkMhrISTsmZI0DXjwFpvn9xeotipsOVvn/Q9FxC7Emp/YIRgbUpkfsJjItfjFfR/kTUM3k09djXLBh2C8PE7SSNIV68JQr9znu4HLs8vP8sjcI8xV53jf7vexM7+ThKbTbM7gustEZj+FeD+qGiOKWm0Jt8Y4y6XDfG6lxKHiEbJmlqyVJWkkKTuLLNenWXcrVC8EKwWw2Qx5Tcpn2Igwv6drEkIjkdiB45yn6TtM+wZu2G6bxUCgARkzQcrMMec2WQ90bi4MY1t9zDWKzDZWmKnOQ9TkQCKgU4+IKxJNQL77p7lxx28TRR6tesD6/Cy1tVXceo31hTn6d+zGSiQw7BhmLE6jXOLsU48zdvBRojDEUAJSeous5dCdq5BVXUQIfqQSKjYRcQw1oldbJiWql51Xdc5i4Ykcbh+IqsCsXcmPUaLZksARCBXMlI+MBEFTIfRePGaTCAXkhedaMSIQkqilEpgKUlEILIPP3PoG/vnuFxmPC4GQEX/g/QUNf4jFqkSRIU3VoqFYzFo9xN0Y26TPTUvn6R7dQiKb5bGFU8woLjuaC9ywcYLR2mn0wKGqpzk8eDe3uudRV8+0ZdMuIEwNoGx+NUIz2sGqnmuQg7fgOg1UVUUzzUtBpIVDcOTTlyTjvAboNux7Tzv7PTsMP/V3l4JdbqUdpHqRF9C5557m8c/+A6WFuYufDey8imxvH8cffoDO4VFuf/f76BgewU60fXYD3+erH/somq5zx8/8HHYyhW7ZICVPfvHThGFIpquH9flZqrUaRaGiLM0zfdWNRGFAYWON7NoSwdoKlZVlNr35nQzefBu7+/tw14r8/Nce4OCmq3hyME53Xz8bS4ssn59go7jMyvkJFFUlls6wOjNFvbyOYcdQVY3RfdfSO9iDoUgMJWCjVKE4N8dgosZIR9QOTod+OzjcuRPqxQvVTANI1eDxBx7j+aPz2KpPwWiQ0FuMJtbZmlq/4rMfRgI30vBCFVONUC8QPlXfpBrYaPjEtIBYz1bi2QxK8TR+IFGDOkpwifzztSTnnW7OlWOsRQXMRIrV5TLJuMk9P3UA09KRioZEZW2qjPM/70cJQ5b27sdVDZxEBq9RxiydQarrlEoKkRD4mkqHWWc4WWW+mWGp0ZbotVWPjN5kxU2g2zGSCQsRNDHCOjoeqVyWQnOMSGjIZC9Rso8o2QOtBolwDeorCE1DSXaj5ocoZGNkVg/C1HeREkJyBGY/hlxAkQ4ElyrBfEehNmezNp5iObWJxS17qHf1w9bt7N01CJ/8a6xHH0JEIXU7RdFMUWisk/YuJdr4QsVXNWLBS/1LASIEvqKyEs9TstOYfovRygJ13eb3bnwvZ7ODWFGLW0tPsL0+ztPxA/zmc5/H9l3E8Cb6Xj+CpU7ROH6OpYMKwtJIjUIis4pfU5CBIL+zTn3JprbWSX02gsDHzrfwqjqZ67Pk3/sBosUxvHNjNOY9ig8vQ/DSMW9yyKX/5hJrpPmm3M+/RndwzO/j17TPc4tyilGxSFJcXknnS5V5WWBadjOorJIO6pwf68GLpTjbtY1H43v5uROfp2tsHoQE+SJfPVPH2r+LlfMNMjOXjweaqoEdvrTKvxqPYbstvnzbbZzNDOHFe3DMTjDixMIaI/3dbOpMkzBV4qZG3NRImhq2oaIIcXEqpQiwdZXhQhz9exQ+6q0AS1PQfojyx2qlgVKZJZ8rtEmf74mF1LwaVrOKujbB3NlnWXv+H+gKy1SVOL4YRGhppNCIWg3qYYMVUyEIXeL+KinVRUqV80acyc4urrJy9CRyKPEsy7pg0qlxsHGOcrNCRVx6fmOuymsnhjFLPnXdo2EHNKyATN2gf9XG1yWzHQ2meh0UJeS3UjabGxU+qbTfdelIMpIZ5c57P4Ge/zG8pLwGPPM3fOroX/HxlM3ewKB7fiePG+9lqeJy+2iaM4sbZFIpFjeadNdX+bOH/jvx6/bhPPU0mCa/+Mef4L/qHg90D/KJxXW+UJxEffIJPnL1TQxcfx0/05vnVL3JRyeXeFdPjvf3d3C24XJXIXXRvxLgs0vrfGRigT/c0sdPV59rEySP/0n7vdRzddszz3faf5updoXWde9rk4lnvwmfe9el84p3QN+1VM9FLHzmJF96Vyf71ooMP3T56QstQgYKxj2j1Pq3oi4uk3jmWdw1nUiXfPztGs8NAEKwpeVzp+Mwp2sctG1qF9qbGUleV1ExK3s5l2uxU8Bt7gZdhkZX/2aSS0/BbR+Gq97a3qmUnPvMB/iT6qNkwpB76w22RHnIbya/9F1kZojl//Adspkslq7ieAF/+M0xVqotHh4fxzBchjtU7t52Nb9w69VY+r8ttiSl5PR3v4OqaWy58RZUTScMfL78R7/HzPEjGHaMwuAwhmWhaFq7ytX3sVNpmtUKCIGqafRu2U6zXkPVdBK5HK1Gg2atSrNWJQoCzj3/NF7zUn+UyBe45tV3M7D7GoQQaIaBblmkO7pQfgy58e8HL/S+7xj8FfxoeIXUegWv4BX8yAjKZZxnnmXpt36LqFbDuvpq7D3XIHQd+6qrSd1917/3Ib6CK+DYd+Y4+IUJUh02w7vzdA4lOfadeVZna1x1Zz+7bu1FVZWLhNfEcys4FY98f4KVqQozJ9fJ9cR5/S9ejar9PyPN57kBp767SHmlQTJnURhI0rclQ+BHOFWPiedWmDrWNri3EjpmTCf0Q+bGymy7qZu9rx0kljKYP1tmfqxEZa1Jz+YMHQNJUgWL0Jd4bkAs1R5UJLImZuylXjHfD2EYUVtzseI6Zqytp/6joLHR4tD905hxHd1UUTUFzVDI9yXoGk697O35XniRXDPtlx7H6myNIw/NkOmO0zGQoDCQxEroF8nMDXeDb89+m+357ezK7/qRzgGgUWnRrHmsztZYm6/TM5rBqXocun+6XaWmKaiqwPfCi9KB6U67HSjwI+JpA91SWZmsEvgRhq0xfFWeymoTrxngOgHJrEm6M0a6w6bV8KmVW4ze3kl+JMexeoWvz5/k/qWzeFofrtaLkB6qP0eWCnm1yXTToyN3G6XIIqOpZHQVJ4xY8QKcMMJWBG4kL05UR22TVd+n+j0TdgV4Qz5Fn22iQVuuL5Kca7awvIifWJck2znDzIkQsxXxHTPkX6xLxKMuBIqAViTZZBvsSca4Khlr+zGl4mR1le1xi2YkOVJt8Lvjk1yTSnLGCVlseSy0XiqJdXs2yYFsgp0Jm5syceKqSqu1Qql8mA03xtS31lhwKtS2DrG0UaY7toqp+agiYrKcQsgNXrXZxwoeIZPsJxHfgq5nWFt/FF3PEQQVwtAhDB0S8W00i4sos3nIesyrZ5hpZjDVFq3QZFt2Ak1pXzfVSxOWN5GpDxCvjpBI7oRqErcasO4FfH3A5KwacWC0QD5mkLRUEqbOhuPw3NgkcTVgtlhirhLg+BFzUR5L+DTl5ZVmabPC1sx5bDPJ5lydLQWHVGKYeWcXk8UVJlYjQqkTSZW4VubEsknDv+R1JpDoakjKqHF14QR9iSUM1Wsvik8q3klMTNJpz15cx7IGMM1OarUTRJGHopjk83dgW/0sLX+FbPYm4rFRhoc/hKJcfrw/LupenT945g/4xuQ3Lh2HgK1WgKkIpJqnIzFEVlNwMHAihcF4nidXTjBbX+G6XD+j8QIDwmZ64xjyzAr5c4LUOqiyvShCQNzCFgnm8iFzuYDzOZ+KGvDmkxF7nwhQHUEwohPd2EHpukXswhBdnb9Po2GTSqWwbYdmc4yz48+xujpDIjGOZVVQ1ZAg0KlWO1hdHaa4MoKihKiqj+9bgCDbqHPHuXGMsQlkQkPUAzxb8s+/vIX3Dd2JPV4kOD2D//gYviKo3dki3OmBD4oHwgM/MJGjLl58M7bdj6VF1NwnUBqC7fqvktlyJ05ykeLcZ1isfAekZGjeJV9yiTVDDE+2pbjMNOhWOxM3VoBkN43bfp65j/0x0TfP0OqLY823A0G+qqJIiXqhMizoKlDv1kkfX2rH4BRB6d5+bDOFem4K87DzkvsrVYm7u90LmU4GxROEqo9fa2GuhRz84HZu/8k30J29jpa3woazzHitwfS3vgr1ZfpvqpMxEuh6Fs3eTLP6DGHY3o+iWOh6ho7CazHMDny/3P5OSiSyLV1kD2DHhvH9DRShoygGTnOW1dUHabVW8P3S9xyxgq6n8f3yS85F05JIGaEoJlJGBMEGQhgUCncQ6L1MVOYZq67wyNoyJa/R3r9mEcoQXdG5p28vw/m9ICyOrR7hu/Pfxb1CcPLFMBVxmSdZXJF0GzbrnmAjujyIqqDwXxLvw3rqIGJjFl2J0BWfIOGiBQYnltpyQREKhhLQY9dI2IKdnXU6lVWs76meXFcLOJGBHdaxZAtNhHhSY8VLMeF20ggMGoFBhQSz8W3c+/STpBpV5jqHmC4MMFbYTKK4iBE2ycVr7KrNkHeqTMa6ObF5gFh8lb6wQY906QzKdJQ2aIYqrZqBcEGPBYQJwVe693OXPMrg1ArfcF9DTlbpLS8QX6rx9Idu5c3efSRaLo1EHl1CrLryfa/neGyIsfgoyls/yV1iFeeB/53M5Lcufj9hD/JkZg8Hs/t4quMAJXT22II/3tLDNs1HrI0Trp4lev5TaBvT7TSA4IK0+Ns+Bbve3M50fiGIuzoOn3xtm6RJ97UDhEYclo+3s66NJHi1ttRc5w6oLCCPfx6BZGXfB8n/xB9d9EWUUhK0Wnhuk7HHH+HQ/V+jvr7GNa+9hzt+5gMXpQ1/GNwwouj5JDSVdS9gqtnif8ys8HzVQYGXSAPuTlhsHj/G17o2E6kqQkrirSZ1K8aNosVXU+Nteapmub24G1DY1q6CWRtv+0C1qpf+rS3zkqwnAKG2/adUo52p3qq1iUBFa1dAvKjSqSIzxKihi/Y4RKIg8qOUlG7UoIaWKuBkt7HReQPJ4iGcyhopPaLgLbT7BzNBmB4Ev8ls5kaO63s4U9VZLNVpeBEN12fg7GHMyjrScwg1lY2OTeSXZ7n2fDt2U4xl2FRdZLC2iqPrhELFCAPMsE30NzWdUAjivvcSZ9N1O07GdVClpKbbLCTzHN62BZFMc+2p4zgdHQT7dpKyFGquAWMzYMXQB4dIpGz0ibMYE2PEr9vMyEideH0cs3KqLWP3Agpb4Yafb1cHPPQRZHmWDbeXc0c60FbqWK12/xEoKjUzgSpCXNvCidl0F1ewWh6rmQyukqC3vIh64fqHCCKh8ODwDfjxFEM4dHk1zHSK1nU308gUYLWIOTsJToNWdz+d0iWz7xpio6Ntj+mqw+pDD6PUqqgzkyiBT2THCHv6KPzCLyAKBbpSFklLo1za4LO//D7UXDfn0ntoTS3y1rOP0t9YIxICRUqWYjkWEh1cvXYeI3pRBk/OgpJLQ7M42rGZjtYGXU4JTYbEPRfNigial4K6WkdIfI+PgY/aClFakkUrz19u/02GBwdx9DRC0VEEdKdt9gykMTWVKIpQaguYpbPE1k/gZrZwPHkbrQumq1NrDequj6YqTK87mFpbau/E/AY7n/4GeafKE0PXImMJkqUi7zj1AFs25liK5zl8y72s774WvVYhnk4xsnuU9Ow51GOHER0dxHZsJ/aNf0U/+jziP/4sne/8aXJxA01V8NwmM8ePEAYBmm4Qz2RJdXQSS2c4v3GemeoMgQxI6AkyVoaM2V4UofDI7COUW2XcwKUVtuiMdXJd4mrOf+sRJlbPMtWcxTMlDTOgQgOha+SUJF1agc2pzQxmhjjjTfJY6SnqkYNPgBEqJIlzTJ1EQSGSEdH3VjnKNsd38b8/YHouoit/31E2SDVNep0kvUWLbKGbV73r/ezYdQNSSvyW25Zjrddx63USuRwnH30YTTeQXpOnv/ZlXv2+X2DPa+5CTj5KU8aoyhSVUpmxg49SWpgn3dlFIlcglkrhVCsYls21b/hJUhfkXL8fgrUJ3vXlNzJmaOx3mry+fhtXdRr0LN1PPdHJP6cS7Bl4Pb936Hpue+qr/PSpBy6um3rDG6jedx/mz32AA3vv4Csf/nmSzQZjQ6P84q///sX3Trehc+TaQcS/vq/9XonCdh/dswdu+88w9Rih76Ie/DjMP4eMYOVEgXDgLmI330p8/36MwUGOzW2Qiel4QcRfP3Sa3q4M1w9l2X/oV1BNm7Dver5d28bYd7/Dnoe+jBaG/MIvKUhF8PaxHG+oxpBVj8Ull9xGjQev0/jqdRoxV6dQk4wspHj34WU+c0PAM9ti9C8mMSKPY1s2kAKswCRX76Sz1UuP6KVf72bACJl8vM2Yveq9P8/eu+/9gdeb8gzeP7wZbfgWlH3vhoEb2u/jL30Arn8/bLrtiqstVZoUEuZLiN1/C6aOHuJL//V3AOgY2kTH0CacaoXpo4e47t634Lsu6/OzhL5PGASEgY+iKDQqG8Sz7YR6322ysbyEUBSklBelYdQL1dVhEDB89V56t+1ACIXQ95k88hyzJ14qr925aZTN19/E1psOkO8b+L7H7XstZo4fpVmtkO7sQjNM8v0DmLEf7q/tNR10y35FYepHxCuk1it4Ba/gZaP+2GOUv/BF6o89BkGAPjBAz0c/Suy6axH/F2YuvIIfDLfuM/H8ComsScdgkkT2cp+f9cU6T33pPM2aR64nTmEwSSpv8cDfnKR7tF25UZy+QB5YKv07ckweWb3ivlRdIfQjdFOleyTF3FiZns1pbn37VgoDCZyqR2W1edG7yHODtnScF+K7AYoiGNpdYGRvB4mM+bJIGiklxZka82dKHP3WHG7DJ5YycGreS+b1QsDAzhy6qbarnxoBrYbP6LWdHHjrlh/vAv+/AJ4b8Px903SPphnalb+ssu5KiMKIM08vg4TukTR+K2zf/944qYL9kt/XSi6HHpiBgTrfmnmIc8vTGJ6FagnemH8bo4MDGKZOItv24pJS4lQ8GtUWlWKT5ekKc/M1LFtHy5tMTle4OM9SIVWPiASkt2ZwOg3CUNL0W5y0IxYKGvg+VlOgajpSVTGdEDWQ9MdNtvYkSXfHCASM2AZN5xx7CztZ8SOmmx4zrkckJZ+dm2DSv1x2So8a5JUqWyzJW/KSO/uupTveTSQjxtbH2JnfedlAMax5OIeLSF0QzNURtkoQ1/mmHfLrrSqvzqW4IR3nhWYrwogDMy3Sjx0jUl1CvUGk1wk1B71ZYFar83BgUg8t6qFJI9RpobIj0Hjz7TsJr+9i1QvYl4rRZ6qU69MEzmnCqEnTa5FNbSad2EXp0Kc4ef4kOauKGSuyaM2iSIXu1K0kctdTtkYY83JkRYN+dY1lX9DjHSMeGyIWHyVqOXzz6c/zjeltHFnd3ZYPehE0xSeILpG3mgiIEEQXfmcoPnGjTkJvkDYDgkiw2sxjaRGmFrHa0MjbDkPJSY6t7mKjlbxs+116REZTSagGqlB4rtbE1BREJPEiyYvttlUBQ3GfyfpLyeQEDj4aQ2KFQauJYScZMB0axUm27LuDoOsa/DDC1hUeH5/l5EKZlu9Tdi/3yVJFwGByHkP1ESKi0sowWtB4/80xOuNVZLhM6M3RaIxz0s8yJ7vZkdtKw6tT96pYNFivniFudZG2u7EUFVNEqI1z5JQ65ZKLUq6wyU/QpSbJNkq00v08kEwyrUg6hUaXVOgKJX1GhsKdH4FYjiiKcByHVqtF3a/znRPfod6ogwJVv8oz5WfoznQjNIEbuvj4LHvLNGvr/NaJzfQfWUDVDXShIqVH7MYbUEId9+RJhAZ6UkfVXLw1B3PTAFJYNM8v46+sXPQoal8gBb2vH6FrCEVFyoioWgNVJVhaesl9aW4Z4MiNt7Fm2bSaDsnEAjt2PoYQEbVqB/FECcO4PNu8tZFCqenEnJC+dYdSUKAkU5wzt5D3ltkqJ/GFRR8rPMpNnJPD9C0uctW58yx1xdl6agLFf9GzG5d4o5Lq2wKClE7nXA+JVA4rl8dNqpRFCbsYZ2D8OLHaFKoMqMfTnNodp256KFIQCYmIJH1LLn3rGjP2q/gXcReKopJQWuwz5hgV8yiRjxU1SckK2vTjcMdvEN30y8x98EN4c7Pk3/Me4rfeSvEf/hHPa9H33p/Fee456t/5Ns7RY6TfeC/Zd72Lpd/4TdzTp9t9STyGf1uK2PAOor051KaGzOnIjEV37xtZXv4qi4ufJ4o8YrFhDD1PZfYZgsSVvUaF0MnnbyeZ2IEfVGm1lqjXzpDJXEcmezPN5jx+UMdtzlIqPYKUQbsiULVpl6cJIMTz1rhSAD2TuRHL3kQgOkEZwJNp1jdOsVYtQrRB3U/TivI0owJ5/RgD5kMsebciMdGVAE2N8MRWhH0nvdkukpbG1q4k2biB4zs8tfQUE+UJal4NVahMVad4dO7Ri/u3lTTd2vWY3tX4vo2lhYwuT5KLVihpOmVFo9RIsMVfZkviCGmadHsCO1QoUCavlDhtGEyqCdYUnXUVPpsz2dX0GAx9JgwdXwjKikL1wnh2e8tnf9MhF0gSkUSIiN0tj3Elw/NylCUlSUmPUdMtXKWXrCKIzPM0tRINUcFXJJYaZ8Q+gB+10EUcXcTxw4iqGxBVdxLJEMMMMPSQfsVmkyVw4hs03CJEnSA7WBIP8nTtQV5o/oUgZNQPGFFz9EYq2dDnKhmjZsSo18aZ1Q1imX1cM/MA3WFACHihQfHLWRI9LfK3wWT61aTri3iL60ycjlOL5ai9/3/BTKdJqgFpzSc99Y9cPfE5AMpakmxQI0LwF1s+xDv2/zRmZhBki9OrRWZLJQa//se0nDo/d/dHqRsJhvwSN9sRB4ME81jcUDnO5479b8RMu03E+M22RNPGbLvaSLchcJFmkpk3f50HGynOLY6jbpxnpHGWdw6kMe/4ZfRv/x6cexhZmUcCn+9/C931Ga6vnuTW27/JPd0dBFLybKXBA9duxb4QZAuDgMZGiVThBwdRX4wH1yr8yplZSn542eemIvhAfweaDLlz4zCdfplxvZMzIsXf1GxKUuVW5zzXTR3iRFjgu9tvwTMsHn3uPWx3ptvEk50FO0tkJBGLh9tETn4zWClCI0kltPAUi0a1TBh4qDJAizwEEWvmIKflEKpXIyYbxKMG8ahGR3OVWKOMNBR828BUQtKySixqE+/P3fTnHG128/yaiXviFKJS4YaFE3Q6ZbQoRJMhRTvLSizHeG6AyWsOoApBpelTctpkk+573Lp4jHtmnmHn+jSREISKhh5e2X+u1jcM2SzGWts3r7R1B9G5k4Qth0ARBIpCw1Q4uEfDT8dI9XTTEk2UtSqNsEL/esTtZ02WOsDpTNC/odH35CRay8fXdLTAR0GyGM+zEC9wffEsgVBQpLzoWQSwkOykr3bJu69oZyhlspi2Sr5ZoS+zRGGwhJkOWB1LsnQ6ixEG1M0YY9tupNLRS5DOUliaJuHWUZHY9Q3ilXWwbIzf+AjbbtlL0tKRnoc3P8/yw49SnFtG3P0GRvfsIGWrlFtlwihko7XBsdVjLDWWKNgFRtIj5Kwcy41lnlx8kpPrJwmiAE3R6LA7eMuWt5A0kggEptqWfFusLzJXm6M71s1iY5G6V0ciOff8M4ixFTYtxRFCQXSPEC40wQlwrjvA1jtuYstIF+OzJcrPH0IJA7wnn2Bw8Rxnd99C8h3vYKQ7g5QSL4xQnAbLv/87iCiiXBiiUeim1DXI9Xdexw2b8jS8gIrjs+G4dKdi3DSav2ysvXDmNIvjY5ixOAO7riLd1f3y5b1ehCCM+PQzszT9kJ/a109H0kRKyYOnVlitNLjr6j46kz+6961TrbA6PcXDf/eXbKxcGvM4ZsB62mNqxGcyt/Ejbxdov05fNPVVI0FSxiCKqKku4feQVPGmRqploEUKrhlR1z2G6xksTyOVytHXvYlsLM96c42YHiOIa6Cr7fssIGWmGUgOYCoG9UqZenmdiIihri0MGj0cnn6GZrNB6PnYvsqm/GYsO8bg7mtI5H50jzUpJZ/77V9jcXyMdGcXjY0NAu/S+C+WztC3fSeVlRUalTLNagXdsgg8D92y2f+2/0C2pw8z1varM2NxYunMZe0nKJ7lL899gU9OfIEHZxc4a8f5vY4CqxdkndOR5NNveJj3/t0xfutLHyUWNVEiSdJzL8pPj7/1HWz9l8+xvHM33adPkv77v2dm51VMOS22xEyuX3gY5y8/gJX1UWyzLZVYW4RUP1Tn2+ca72G1eAvlbx0icj08w8Lw2mMyJ9/FYbuTx4dvIB1W+dBTX2QpleC5rm0c3bsXJ38McyVi3/w4dx2tESnwqVclUc0BJrpKLKTXSDQ1TF+hGgvx9BDDVxgs2jgJKKV88CMkEUqkcsPJfQyn+9i5eYCxtaN4y2sY8/W2fC6XyBuAHQfuoNV0mDz0LAfe+R427bmWjeVF4tn2/S5OnWNl8hy6ZbHtltvo27bz34VUcet1zjzxGJXVFaprqyyeactCHnjnezh031doOQ38Voudt97BHT/zgZe1TSklc6eOk+7sJp7J4lQ3sOKJH0ocVdeKrM3OIIQg8DxqpTUe//SnCHwPzTTJdveSyOVJ5gsksnnq5XU6h0eZO3WcycPP4bdeOlbP9fbTPbqFwPeJZ7N0DG5idXaK6mqR6toqqqaxfH6CVKGTN/yvH6Z3644f6zr+/xGvkFqv4BW8gpeF5okTTL/t7agdBdL3vpHEbbdhX7UbJf7Dsw5+GKSURIH8oYH7H4YojKiVXBRVIQyii5Jn1bUmma4YhqVhxjTshI6iKmwU20G9wIvQdAXdUlmc2GB1pkYYtLeVytvkeuPEs21T3tXZQvQDTwAAIABJREFUGvVyixf6SAGohophqoRBu8LkBa+kKIhoVD28ZrsSKJG1SOYsfC+ktu4ShW3JGCEEQoHuTekrEhAvYGW6yslH55l4vkj4ouqRq27vI9eXoLLaJPRCxp5aQjdV8n0J1hcbNKsXvM10hbf9l+tIF2KgQGmhgRnXiCUNZk+XCIPoMrm8ns1psl1xSksNcj1xVF1h7MklnvzSOdy635bNu4Le+YuhaoLwQuadUEAzVBRVIZE12fe6Qbbe0H3xt8XZGmNPLOK3Qs4+3daAHtyV5/qfGKZ7UxrPDShOV1merGLYGnZSp2s49QOv2f8X4Xsh3/jzYyxOtCdQQhEkcybJvAUSmnWfdIdNvi9BFEb4XsT6fP3i718MRRWkO+yLlVnVtSYbKw7VNZfFtILht++NYyk0TIEeSGY6VIxQ0NIEoSoIVAhUga/CRlylEldwDIH8AQSlFgUEyhUM1GWA5k0BKlKxQYZoikAqSRTFwuXll+Gr/jJ9cpKYErAnleHu3q28uvdadFVH+hGNVsCJ49OcOjeFV1ulU8kSay2wkVwkEhEREupx3GoPN7kF8lYWX1mjqs/xXb1MYstj7Al2o5RjREqDSGnSjJqcFyEH610UnQ6agY0T2LRCg55YkYmNTTQDG1trEtebxHQHTYRMVQfJGDX64hXSccGJYo6YVqcnvoLj2yw7nWy0MvTElzFUj1UnjxO0+1ZN8bk1c4ZObZGdw0cQWkTeKmFpHg3fZqnRjUAyUdpCLbBp+HEW692cr2zCEgGv18sMa2UKWpkRnqWn36Ng5KgXy7QilVak0t/TQbnV4r4Vn6AWoyyTlEiwLlJUwzgBGqNigRY6jojTkbI54fdxph7jru1Zrs+57NBXqDsOtfIq97u7CRHU3YCGF3KDvYCiqCgywJAtLCXEFAF2Y5HXuPfTK0o4Zgd1s5uqlqeu5wmtDHuvvw0lloHefWCl2jc+CuHj29rG4Hf8ZltyKtHdrqa5gGLV5dRilZqzSn/sJCNde0gGEcHGOH51GkvNcXh9jO82F4nntqCpGgLBk6tHeG79JJpQCOSVZSRfDgTtiqdAgCYlwfdMnAZacWSYQEoNiWTFXiFULg+aIiU7F3RMD/RQubCo5GqCe592iDU9mkMZbLVJOpVCmh3Uj55H6iqtDgutVSNyQLgSGVNQaz4RCivdPTQSKZqxOLpm4Y7uYH3TNugYQNN1dFVF11U0VUVXBV65ROvUUfTJMxjry8z1dNBIxAllSAyHLFUy1GhaCsOjJzBsB62uEdbi+LUEg2ER3YwIlC2oZgzdjBP17qPZt5/F8Smmnnik/T5VFPo3ZWnuej2Fg7/DqH+Og+IG5owtbGsdp74UMXR+lolNW/A2DaN05KhXltilHsaoejSDGKPKEv2iiPqiQObj4W5OyBFWRAfb5BR32sdxexqUzRzF2iaeXr+Gb9c3Myc7gbaZuioEjh8wV7q8sgfgfvu3CRWdP+r9Mz76pt0M5tsE6lLFpTtloXyffnGl6kIYkg8clHQaoessVdyL6wrRbreTaw0eH19DUeCG4TybO+Jt/ytVcPOmGKXaHBPLJTRZJJfqJ5tI4TjnGOk9QKlpM1Gs4QURrSBiqeJy3/FFTixU8F/0ru7PmDT9FjHTJggl63UP74JsatYsU7DrKHon3UmV7pRKwxM8P2/hBiEbzosD15K0aLJLX2SrvoYiJAY+HbLESWULh8TVqFGL9cCgFUR0hEV2i2luUU7RKTawaWGqknGxiTDeybibpREqrAQJ1qIERlzBai4wxCr9UZU+rcaAXiMuHbrDRXq4cjJOU4kRCh2VEKKIpq8y76RwfBVL8dFEhK6EPN1j8GcdGiqCGyMDS0bEJOzWc1S8Mg+JFhOaIPwRYjuJKGLE8xkIAizV4ilTZUkBUwpc8cPn1rEowrmC9+I9DZdbN99LqTDKRH2W89UZzpbHL5qR/zDoUvKnDwR0HBVsmHEyrUsyU2HMQHE8IiEIVA3XNHBjBkd3bMc6cCd3lD6HnsnybG4vD+pD/OrJj7FpdgqpQCLlEnkKjaLB0nMZZKBQ6shz8KarOXTdHo5nt7O9McX+jcN8fOi9pCsV/tvkJ/jJ2jeQmo2QIUJKpGbS0FPMGT18s7KHlabNwPwKfcVljMCnkkjyyXe+nbOdm0krGqahUnSbdIqQwVSOX3OeZf+3f5GP3fo3/IW2A/dCtd4ndg1zb2fm+12Wy9AMI7wo4m/nVzlSdSAKmCzO8KbKs7zROQ3NMgoQ1zQ6vHXs+hLSdxDB5cErX6g0FYuYIgjsPJpXpxVJ6kaKfGOBuojzmHYANXTQAgczaiJUnbHkLZzTRv9P9t48ypL7rvL8/GJ98fYlM1/uS+2bqlTaJattS7Il2fIKxsYNbtwe4LA3TdPDYYBh6wMeemG6G9yGMWaMx7iNMTS2sZHlRfuuUpVUe+VauWe+fYkX+2/+iFRKpSrZshH0dI/uOe+8zJeR8SJ+L15E/L73e+/FCruMtI5zR+Vhyn4N0woIpUJXSdISSZReRJkaMhKEroKHhhsm6E7rRC8RTEpNIHMa9cE85eENHswe4c+rt3PDxjnuWjlGuREr9ALTwt29H0XTEJqKcfo5lK0MseM334OdzFDeXKS8No89MEzf7GkUu4s+OUn2zjtBEUjXwzpyGOvoNQhFEDYa+GvrGJMTGGMvdrTft3AfnznzGTRFo2AUUCOBEkieqR9nxVlDIFCEQt7Mo6s6BbNAUk9ybP0YQ6khUkaK+eY85XWPDy6Pk3cU2rcc5EjhCNF/+jTq8iLKhz7Czn/2gyiWhVOt02h0IJlieO8kx37vD+h6Pr4foizMkVhaQNpdGokME+tzqEhcVcMMA5b3HmXwbW9l73vvQS9/ZyLUD30+duJjPLryKCk9xXBqmN2F3UxmJ3l6/Wm+vvB1VrorRC+7t1CEctlrpmpyuP8wCTVBEAVMN6bZ7F35fPdSaEp8LwNxvuH7B9/FbfW9nHv0oW2yxkylUDWd/okprrr9TiYOHyWRSuP4IdWux3AuccVir+OH6KqCeoVrXBSFtDY3aawuo2g663PTrE2fp13ZpF2r0KldbnUpFIVUocjYgasIXJfGxhqpXJ7i8CiF4VGKw6Nk+/pZOnsKVdNI5YsUR0ZJbykwmhvrhIGPphtbVqEJXLvL4umT2I06TrdDq7JJ6HuouoHfs2N+SYg4S+niLLplcbY7zZKoUM969FJQGB1lPDvO07XjbLjxmJuhxlVLRYYWVRQJnhbh6hGuEeHqIZ4eMdrKMq4NIfyIXLbIQm+Z9dGI8euuZc/wQfYU9tBn9ZHSUyS0+H41khEb9gZPXnyczc4ak+YoY26J0HXxXRehCBLpDOszFzCsJJphbOUUSwrDI+hmAqfTxnddAtfFbjbwnB6qrqNqOpquo+o6Xq+HYVmMHzpCcWTsNScsfMfh2Xu/zMb8LOlCgWz/INm+fjJ9/ZRGxi5Rxb6glmmsr/K3/+nfsT57uX10YWiY4b0H2HXdTUwdvRZV01nuLPOOv3oHRT3Fhtdkd2E3V7vw9Nwyc2Wbn+0a/MDeH+Y3vh7ya95H6TybobeSQE2EiPEpgvOxy8KOf30Ls//+cUo/9mMM/Mufj9/wT+6kd/wY8/f1ow8Nkn3HO4k6LfSFvyY/UUN5089BcTfLf/JN2vfehzc4wpfzw3zuXc8zvp7n8JkiB+d7HKhdRA8jPA0qOUkzKdi3JIkEKBK6CcjZsDaWYvw//md2Hojtumt2nd/+5r+l7lVwog7DhWH6UiWuag1x7eRNDO3aw9/Of4VffuiXAfjtq3+f9xx5yyVjJqWktblBuliMG0ajiDAMkTJCN0zCIODvPvb7nH3kgSt+hslcHq/XI/DcWHV31z1/7+PiOyGKQmaeeoK12Qucf/zh+Pjtxcdvtq+fTKmPm77vBxk7ePgffFteDTq1Kq7d5Zmv/A3deo12rUq7WsFpt1B1ndD3SWSy7LnhFvbcdCv5wSEa66sEnsvm/ByrM+dZn7mAquvYzSaB56KbCXLl+PvS67QZmNhBa3Odu37y50nlX49UebV4ndR6Ha/jdbwq1D71KdZ/96PsevAB9IFX3+X4cgR+SG2lS7vq0Km7CAWe++YSzc0efWPpmEDKmaRyJlZGp7LYwcrGN3FO10dKMC2V2qrN0M4cmVJcRFq+0ODUQ8u43VcIQnkpBCSSOk73ysUAVVNQVEEqb9KpOQR+dMn/WhkjLlzJ2Kos9CO8XoCqKZcu+11C1RSuuWucqav7CYN4nVEQUVnusrHQYu54Bc1Q2HVtmUNvGma91mPlRIWZJ+LOQ1WPpdVDO/Pc/N4dzB6voKrxjevKdJPWZo92LZ5866aKmdTotX3CMGJ4V55Ow8VK62RLCTIli0wpsWWBB+2qQ7vm0DeWoTSS5uyjq3SbLulCAlVXuP//OUv/eIahfQXm1bjw1en6JKse2nz38sZvAcjYgk7VFJob9jb5BbDrugFuevcOcv1J/mfA2myTxrpN/0Rma0ISE5mKIrZITYHT9Vk8XeXC0xvUVruMfmgXJ9QAveqRrvtYmy46ggdGVKYWXJSVHnZaoZfW8CyVUwdTuKaC9CM0RaAqAr8XEPkRoRtCKNE1BUNXcE2FWfXKx6p4wYhKBogoQI2ircKTR4YeUbiCSgtV9mh7XdKayu0jNzCaGSeSIdONGe5dX6RsGFS7s6j+GgnN4Lax27ijvIuU4jNiDFEL6pxvXuB8/Tyr3VWeWnsKVU3jiSTIgPHUIKExQiFzFYudVfqUNuNalwmtTRA02JO0uHrwRiodnQvVNOc3EpydlvhSYcnzqXi5K+7flfc5QlPinJZIKkRSZTBRYyI/ixfp1J0CNadAy4sVSboqGS9ALqGRsXRMTeP8epeRQoJ/8+5DDOcgCDqEYYco8vj68bP8xVMe1Z6gGZpMJZoQWKz5GTKhzpgUlBE8rTgYmkNBCbl9xxCdMMmZZZcvt5zLLI7yapdmaCFfElhtIMmIiKzq833FBD90XR+FI6MIzYwzNlQjtnJ6JfTqsdVRey3O5TBScbBxaSe0VuLA3dYKnP8aUXOFrjTIiJdZqKkmhC/LhEiXY/sKIx134wsBCCjuiMOiD74n/vnV4qu/BE98/NLXEjnQrDhfxUiCHgc3tzrrPGwq1EVEQ1FpqAozus5TVuIywmkwCPhIrcVdcz4NV8MSEaaq0UiPodRyeKs1wtUuUVIlSmn4GMzuTuOP7mdhcjddzaEd1FmrLyACj0PzFnk3jQgdQtljdjjBStFmPbGOpvpESjzhvGldZ6QScu28Q7LjogQCpQtK88q77xQSPHj9P6FRyCOFQk62uEU8w7wc4YzYs72clOCgYYn4upiK2gwFqwSodJUUDbWIL16BSJZxYpgUyva6hAKHuMCt4aP0UUdRFZzUKH6yjOlW0ct7UHe/JT4GFA1PaqxEo6QHhtEM8yUxEYLG+ip/9bu/Tmlsgnx5kM35ObrNBnd85Ccws3kWpp9i6vR/Zodc4nw0Sk3p5xiH+ABfpEQ8MKEUfMb4AZo3/iKqptJ1Axy7i1U7TaZ2km5hP7e++W4yzSVqc9PMBGn+chFatXWC/BRjhSSjBYvBXAJTUziQdNidkdvFo2qjTcMs4VTXqLVsFn2LvTN/zJ21P+f/4MN8Xnkbbzs8yjfPbtBqVNk5NkxCVzi/3mH/UIarRvKMFiy+eGKFJ+dqGKrCe4+OEErJ7GaHYxcvbUQQMqIgm/xo8QQTwQIPtEZ43NuLFvqkQpsEAet6iXTQRpGSlpahoedp6VnySZ2OExC8xHovT5uPFE5wbcEGPQ2Kgi8VKnaIaqZZVIaxoh4HwjOU/SXmMteSEh49P4RuhZlogNNOH2bQ5s7UDFlvk35vjUBqBFJHhD5W9yKqItGVEEMJMZQIVYQoQqIaFkpgIxGgaIgtAiZQLbp6H47UCcOQcrCIetkZ7grHfaRjBzpeqBBKhWdqI1zs5jDVkIQaYCoBdqhTdeNznKrEx20kIWEoDJc0SmIT06+T0lz25zZxFEDRSPXvj63uNAO6m7GKKPSJ2qs0ZUBTUairCrO6zngIRiJHRipkUMgYKZ4d2oedH+G2oTegqEbc2T17P75dx+6uk7OKeEhaRATNJTbtDZ43DTQgm+xD79vPsmmxokSMamkO53ezaK+x6dQZTxS57ehPIAoTl4xHx+tQd+pcaFxg094kZaTIm3kmMhOsNeeYX32aplNHEwoPbhzjeGOWz342RO0pFKa6KAkVTbVJl3t01kzsDRMZQegq9CoGflelsKeLVfJIj7m0RAqxHLLybBHRvbxOoO7dTf8Hf4jKxz9OsLZGmMlS27WHjgKRAKTBiWyWSraAEnlMX70TrR5wYHMa03YJeyqDlQq3nngKRUoCQ0PdN4WeG8B97AlmJseo7i/y+T13slYc5NbVY9xcfZZ94QxHxQWkEISqhTP2BmpTt/GJ1QZfyt/Ab+7bwbsnd25v5x8vbvCZuTludWa5VTTYETVQuxvMbCwwZ5S5pvEchzvnSUSXWl2+sMcvnMbspkF302RloUBPmnglHaVPYPRD0agz1t4g9AUBCj3TRE3DM+IA+6NlMq0mjp0gCExEMUHRXCKpv0iibz6foXLqUgX0d4JaHiDxQz+AW0iR6oYoKxu4Z85iHz8OYUiUSqO047ybxFVXUfyRH8EYHUEbHr5kXhdUqwSVKqu/9muxsjQIELpO8vrrCCpVzH17yb/vfSSvv367OO6GLmdrZ2m6TfzQJ6knOdJ/hCfXnuTjJz5Ox++QNbKcqZ5hNDNKxsjQ8lo4gYMXeuTMHL9xy28wkh7BVE0KiUuLeb2gh6EYqIpKEAX83lO/x73z96IKlapTRUrJOyfv4T3lt+BlErT9NuOZcfYX929nNkskinjl5sm5UzM0nnwKefokpozY/zu/gWIYLLYW6QZdNKGhKRoNt8Gp6ikUoTCVm2JPYQ9nqmf4/Wd+n3P1c9w4eCNe5LHcXmajF8/PNEXjxqEbOVg6SL/VTyhDFKFw29htDCQHqDk1Zhoz1J06g6lBdhd2k9JfvFfzQ58Hlh4gkhEJLSa6FKGQM3PsKexhvjVPOVmmz+oDIIxCfvvx3+YLF77A+/e8n/fvfT/ZKqzNnGd9dprA91k89Rx2s4FQFEb2HeDwHXfHig67y+bFeTYX5hAIRvcfZGN+luG9B8j1D9DaUtzV11Y5/9hDrJw/S311hSi8dP6dLw+RHSiTKfUxMDHFgTfeQa/T4syxR5G2iwxCqkuLXFw4i5MCsy9Py25Qa2wgnADTV7AT4baSSUhBrmfw5pvfTXNjnblnX6wJaoZJIpWiU7/UHjfKmGz0eSxn2hTDNK4Wsppq46oBzaRHT/G3v9BFLc9IdhRV1ThZOcnBvoO8beptTIlhkus+lekZOtUK+cFhdNMk8D0aaytUFi8ihKB/YopMqQ/DstATFsO79zKy70U79167xclv3UerskEyl8dMprbyGpMYVpLN+Vme/OIX4iygl0EoCjJ6dfUFVdMIg1euhQzt2cfAxA6MZJJs3wDpYgm328FMpbGbDVqbGzQ31qgtL7Hj2uspT+26Ijn1WkBKSW1liV6riWvbeHYXu9Vi7vjTrM/N4LRbJNIZDt9xF063w2y5w6e7X+bdQ29j13HB7GOPAnDfdetsFlx+4bjB7alV3rGvwIceCLnrcUiVHfK3eKw/shPF22Dn3avM3duH0j/CxP/5W7Gt9MffwOrxDI2z8Tk3UhV6OqScCDExiahWUEtF/IWLfPnwLr54sEzUdxbHaJN0VRoZHzUUpHqSn/0qBDJk/YffytGr7uL5p7/Ovk89hGXmMAsW6RtuZP9P/68o3+VYtr02b/rcm5jMTfKFd37heyImoyjk4c/+GYHncei2t9KpV5GR3D52fdfh87/1v+G7Lu/9pf+dZC6Pbn73ykeApdMnuf/Tn8DrvThH7B+f4sidb2dw1x7OP/4IT/7NX1JfiVVwI/sOkC8Pc+TOtzG4c8//UPZ7gechFMHazDSpfIHF088xf/wYXs+mNDqGlclx9V33XGI/GPg+zfVVCkMjr2lO1/9f8Tqp9Tpex/8kiDwP99w5UBTUVAp1YIDzx5u4tk+r6kAkX7SS61YZu3qYwu4hhBDbypwXlDoxORPiObHKqVBOEv3x72A/8SS7H7j/225Hq9Jj6WydKJKxEioCRRMoqqC52WP+ROUy4sfKGhy8dZiVCw06dYduw9tWIglFbJEA8XqEEIR+hJnUcO2X3LQJ2HGkn4mrSshIxsorU0MzFVI5k8piG6EIXDvAbnv0Wh65gSSJlIZuatvKrkwxwfiB4rZNnowkrapDrx1PbvPlJInUK2cuhUG0ZYPno6oKx762wNnHVsmULNqVHt/u1GqldXqdV9d1C9CyFEIVMmNpEoHEq7qoSQ1rOEn3RA286BKf7U5G5eyeJFclTIqhQHUjGhpUg4DSTBcGLCIvhKaP2vYRV7h/lgKcfhOraGJmDVQgXOvhLHX54g+UmVVDOlsd33lNpRWEGF7EWFsyuObh6oKeIdizGbJrM8Box5+hmdQoT2UZ3JHjqS/PURxJcfuH9jMwkX1xfys95k5UyJQS6KYaE0KqQFUVFC3+vJy2T7fpMv98BSttcP07prbzsl6KwA+pLHZIpHVSeXM7W+q1gGv7HLt3Ad3U6HU8mhs9Fk5WkcB6XmVmUEeLJIYvMQIwAom5pZiqZRTsUYvamMWzoYey3kNd7IKuIBMqUUYnGkjAFTLNJhSVA5pB4Ic4QUTPC4kUgaIrSBEXZKSIKSsUgageoxku8+F9P0xJUynpGp2EwKm5XDdeIKUqBJHEDyLmmyvMbUSUkhlsN0RTBaof4TkdrEqEGtnUOhF+FCsU15Jn+YZ7jh2ZASwMcmKATsun2XVp2B5dX8UFLDXAUiICYaCbEX7UIYpCDNUhoTqYmoelOeSMJoHUcAMTJzTwQoO04XCmuouZ5hQAqgi3lU7lhMOOlMrugRQHdo6QzAywWFmk3VIYtPrjblZFEEkXN9zgwSUP23Mw9ByGWWAo18+nHl5DaJAwNIZyFsN5i6GcxWjB4i0HyuQSWkzURH787DRg/VQc1u404zyMdBnKB2OVkVXAX+/SfmgZoSkgIOoFqFkDVWnT7k1jbnRJL/8hxpveg7gj7siLbJ+5z56ho8D95zbJIFgj5GKmTV71GXdVOjJCSZ+hl+/RTHWZKO+gbrU5Vz9HSktx1+Rd3Dl5J5Zm0fMdbN+h6ba2CzzLnRU2exu8cfTNpLQ0Eggin7nmLKPpcQzVxI983NDBDXp0gw7tjRPcsHoaLV0mKu2kmSkjzQwpq4i5fiomxBL5OCckkb8s+PqlCMOIZqeLrsSTXCklQggqlQoA65sVVtY36eqSbHEniqHjVJ9AcasIt0LFWWTdWcOPPGq6wMXDkT59UuUpYdMS8XlVCSVWmCDrmEys7WF0OclIVEcLA/TQx+j0GFvdINe9XKHT0wxc02SzPIDueZiuixpFDFTjbQwVhWYuRyOfx/cFxWad/valOUMRgo1kgXoiQ7lbIxIKiowounGuR1dLsJoq0dMMHM3kxOBONrMFGmqOUGgEQiESCpODOuO9WVKaiiclniqIiBBICqUCYmA/KSHR3Q5RdZX23GkizyVsN4j8Fwu1EkGhlCCnd/HNNKFQCXnxEUmJ6vewvBam28IPBJteFn9LupJIZ8iU+kjm8kRhiO86hL5PFIaxtWKjjmu/qAhRiEhpHm6ksTNd5XBfleHRMkoiQ4DO4twSTy+nWbTzmJkct3zgQwSaz8SRN3L2kz/Bde1vcn/mHVCYItk/RmbnTYxnkzz515+jcnEeI5nCTCaxMllKo+Osz80w+/QTBC/Z59xAmd23vIlevYbXs/E9l9zAIBuz06xOn7v84BTiEhsXM5FAD5pkNJfSkMkX9Vv5qdQDHHSe4Sv6WzgV7OBa7SJLMs+JXoGFoI8d7hpHwnmymZA/MN5HUkTsC+a43n4W14NG3SWIJF6okNcdCkaPjO6y2stQdZNEbJHASPK6w0iySVZ30USEIiTFVEhj6AiGKtjpnUf122huEyFDwjBirZeh4SfoBTpOqNGX6DKWbGGoAZEU8QOFIFJwQxVdiQilghupeJGKKiIKhsOGk6IX6iRVn4Qa4EYqw1abhBrQCzS8reUlAk1ErPYybLopTCVAVyJqnkXds1i2c8iXpeZYqkda81CEJKn6WJqPLkJagYWm62hhF0WAKiJyGYNg8Br6b3gX0kjhOQ5REFAaHafXblFfXSbwPPwtC6S9N93KwNTOF4skrVVYPRETT24HDn8AskNXPjlJCV4nXk7RoLMW5x9pf4/iXhTCyvG4SaB/LxQmv/d1vUqsdFa4+wt385Myy49GKbpDh9HCANPMoN/007D2fHwNy42CVSTCYvqd7yVsvPj9fcFFS9uzm/4P/3Ok5xE2m6jZDFp/P+k3vxmhaUjfp/PII7S++EW6TzxJ1G4jfR99fAx/YxO2AtnbyRSZl5wfAk0D00TxPPo/+rtYNx7lfLjKudo5sn91Pzs//VC8oJAk+zz0VAgpFWdTx6nrGMM+AyMNtGSIboVoVoStWfy7yQ/zi+/9RVKZPh6s1HnqS7/OT8x8DqUVEjgKflel55u4lslwvoITGHTaKZoiw3qQ4WKrj05ocf/QUZ7p38uwX+X6tTN8+MTfYQYefjaPKA+hzp5HhLHiNlQ11JcV+Tduezs7sgadL31x2xLrpbD27yCxcwQZQOO+R0nf+Vay73k3M8vP04g6qFFsXTYfrFNvrRNqCvN5n7rXpBo2uWi2kS+5zg5YA+wv7eetxVs4/NULmB2P1I03kLj5JpppwUpnhZOVk7T9NoutRc7Xz9P0mtwzdQ+3DN/C/tJ+0np626r2BWeOrt/l8dXHeWjpIWYaM0TE9s6vpBocSY9wuO/aIB6eAAAgAElEQVQwTa9Jzsjxqzf/Klkje8Vlvxc03SafPPlJPnPmM7gva6ixNItioogf+TTdJtcPXs9gapC0nmYoNcRwenj7OWO8SCIe3zjOn578Uy40LrDYXnxV2zGRneDnjv4cd07euf3aQmuBDXuDQ32HsLR/XFcJP/L59Ud+nXvn78WLPG4eupmj5aMgYaG9wM2DN3FduIfZZ59i+qnHqS0vkhso09y4csZe3JgiLrHVMlMphvfsp298ksLgMIXBYdyeTbpYojy1Ez/0mW3O0vba1N06j608xhcufAFTNdld2I0mNE5sniCU4RXf8+VQpMKbjpXY2Shw3XveR2FgiND3WJ+ZxrW75MfGOJa7iGNGqLrGF+e+TNWpoqFR3tDI9HSG1H6SgYaesCjsnGQsM8a+4j4KqRKtygYzx56KawASVi+co7UZj4dhWaTyBRpra8gtZV0qX6BvfBK326Fdq+LZ9iXjM7LvAKlcgc2L89RXl7fX4/Uuv8cEGD1wiBve9T5y5UF0M0EUhtitBvnyEIqqEUXhthJv5fyZWO2WL6CbJpppxrZqZmwZHwbBVtaQj6br9Notpp96gue/eS92s4Fr25cRkRATaJlSP1Ymw/rs9CWvF4dHMVNpfKe3bSs4fuhqNMPAdx3yA4OXWBhGUcjZhx/Ad112XX/Td6U8CYOAheef5dS3vs75Jx7Zfj0/NERjdRXDipteJw5fzcR77uBHH/ophBty9FyORw/XuP58xL/+QkR2T4/MURcZZbF6m1QOvxflL+6jOW+x5/vWEEYC6TmcuHecM8WQ331/PGcmSnHLuQ4//zcRbiKJ5vb4u6NJPnVXfI5RQvhI4t18/9EPcrJykq9XHmBOrnK+Pc3RgaN88q5Pol3JseTvgS/NfImxzBhXD1z9mq73pTj+ta/wjT/52PbvqUIRRVGxWw2KQyMEvoeVzZMplhiY2smhN7+FZO5FNXS3Uefiqef4uz/8fbJ9/Qzuihvtoihi4cSxS+YE/RNT3PjeD7Dr+ptQtdd2rP4hsHzuDM/87V9z+I67mTxyzfbrgefx2F/+OUtnTrFy/gwA6WKJZC5PdXGBMAjon9zBnT/2M9vj8TpeW7xOar2O1/HfCdWVDuefWEMzVJJZgzCQRGFEp+7SrDTYcGbJV0wM3URLmpSG0wxNJclMDXOu+xznlp5lYe08G6vTvOtbBqlNge7GHXihanJxx9tZLx4B4rwUhbhIIWRcQP5uUaydplhU0W95M83N3rZtXhRK2jUHoQh0Q6W+2iXaIqFUXdm2qIuCiGTWYPJwH2P7i2T7LNJFE6fjY2WMS4giKSVuN6DbcskUE4RBhGaoaFv2hIEf2wXWVrsEbkQUye3sn+8EKSVh2KFae5hue47VhUcQikBVkihKkkBuEEQrW4VVF4GJIImQCZ5ngG8pb6QUSCK/gxu5lNQet4wN8bBT4KybBOJOPkUIROTT3myTSMBYQaNsCAaUAhuyD13TKKDRaLtUu21aXofgYg/RTOBnNKqWQjUhMEIo2RGWHdJIqSAliVAyGHWYbLn0vCSFNWglFSpZlUI7otgJmRvUef7GHO20inRDhBMx1J8koas8UG9fMiZjCYMlx0MCmoCkqtDzQ7J2xN4GZAwVM2+Qzhmoj1fRGz5WK8DyJFJAqMDJCZPmrUl2JODO1Cq7lVXUsEbFc3gmPMhxf5B96ip6VKPr2zwVHuCRXh//YrCPfzlexkyq1DrzfGZpnqjdj/75OrQDBiazHLx1mG7T5emvzH9Hu8MXYGV03F5Ars/i6J0TuLaP2wtIJGMLvnNPrtHu+ngCfCFZsiDdb3HTG0YYKKc4sdjg6YU6za5HekuNY+kx8RVtKfRyls5w3uLWXX1ICW3Hp+0EnP/GErOzdU4XFRxLxU0qGCmdJc/HtVRQiK37VBHbtqgCIUF0AwgjtBCSLR+jG9Ds+gwoCqEiaIQhoYSMpjDcl6LRcTGFwJKg9ULMUHKSEJ8rRor/d4UgwtIcklqPlOaS1lxMBXqBhh3qaIqPL1W00ECVKm6k4UQ6TqRiRyrBS9RIlpDoUtACJhTJPZHJYSViSglIFy5g7Pwm+V4CxbHj4HSvjfC6SMVAbV284vZFehLMDPgOwu+BDOCaDyN23ga9GrKzgdfaxPV8ZGMBs3qWhL1yyToksKaq1FQFiSB6gUgEGorKKauEq5r4ikYQ+WyoGh1Fkg5anDVUVnSNTBix39eYt3aAksGTbTzZIaklqfmL9Btj6KHCZrCEKy7361bQsNQs3bCGikVSTuDKOp6yDlIDIq7IVr+wD6GBDDOg9BCqgxARUqpAnCfzcpj0AxJPNpBbaiCkwpR5G3ty16Ji4AUhJyqPkIosSkGGSAqUyERgQAQ9b4aevkKguKSDNBk/Q9pPYwUWbb1Nw2zQNJrUjDots4kSKUghkVew8hJSYPkmuq8iAxU70eNtT+u88ymHbM/jlXu0X0Q9n+fM/v008nkUGaFsFR8b+TwSid6qbSlPVIhCrGadQtdmrOeT7dpYjSZRwkIKWD2wF0dVUFLJ2GJiaQW9UkFtNLELOWQYIoOQRjZNR0gqpoJRKIFQEEi8Zg09ERfCZBTFdiK+T+B7qJqGlc0BEt1epZyyafR0Kj0LVZEUdTtWz2iQHttLkB5ll/ckk8oMKDqRarKavYlnZkOWl+u4vR5CKLFtja6havrWQ8VUfNKKTUnvMDpg4BX20qGA363hdZqsdkwsLeCgepIcVRAKUqgoQpC2VEJFR+9toLk1xNbZqeomOenupafkKaVC+i2XYTmL5mwizRyn3d08cF4jPbyT5voa5d17uPGHf5REFLIxP8PG/Czrs9P01R5hX66GninSjDLUvSSrTYWFzZCpgsN1uy36El0SXpVOZg9LMwtcrEqymQQZMyKpOoS9Liejw+x+4z0MJm3CXgvp2XRz+1mtevSNT2IkEjTWVmmsrxH2Wlw88TTtZodriiu0yFMPs7i2jR3o5HSHmpeM1Uoiwos0EqqPE17aEKMgSesu1w53KCVcBpR1LLpcCVutPYiXKJokglDGBNJly8tvyyOz4vXT8JMoCmiaiqYKDFwMNcILBVrkkBAupnARQlJP7CYTbaKLiChRQJo5lNBG6mnCt/8HRGkHdqOB3axjt5o4c8+g1qdJDu0kECaB7yMe/0NSh98OeoJk/SRhr0vg2gToBFN3ENSXoXoBpbmEIiIMJaSc6GAM7YVD3x+Htg9eFVuOvo7vGj/+tR/nbO0suqqzYcdqi4ye4Y/e+kdc1X/VZcu7MzM4Z89CJPHm55FRiJpKUfin/xTfVFGEgq7Ex3QQBXzs+Md4fPVx7hi/gw/u+yBJPS46BvU6UdfGGB0BwGt3OP97/xbt777K0K/+Co1iH6nBMusZmxObJ3j8wjd52j2HF3qXkBS/efiXuCd3C40/+QN652bwqy2CjU0UyyJzxx20vvY15EuKxV7CQL014lDfRXyhspjfTyuMmDoxx9qxHJF/hSuCIpGRuIRylZqOMHSwbUQ6jex0gFjtlPyVX+AheYGuETGkFRla6lG4sIHRcTCmdqAN9CPDkO6jj1L/s08DYL/tDbSu3YU3kMO3DKyVGoX5GqmvPQHNNpgm9ZLBL729jp3WcMJLr/WKUBhKDaEpGgPJAYqJIgWzQNEqkjfzZIwMm/Ym041pnl57mpXuCrqic+PQjdSdOtON6cvIn36rnz3FPahC5eHlh4lkxFhmjJ+5+mdIG2mmG9OcqpxirbvGyepJIhmR1tPsKcQFuiP9RzgycIQBawBDNZhpzDDTnOHowFGuK1+3bbf2AqrLi3g9m77RCfTE96YEeDnWu+s8V3mOUqKEoRqcqpziYvsiVadKFEUUrSLfuPgN3MCl63fxXqbEu2vyLt489mbWumt84vlPYGkWRweOcnX/1YykR/ClTxAFpPU0+4v7UYTCdGOa8/XzSCn54P4PYqrmq9pWKSWB6xJF4SXd+98tZBQRBsFlCprA82LbWl2n6Tb5/PnP89kzn2Wjt7FNikgkB0oHuGnoJpbbyywvXOBdm0c4O9Jk1WqyFlaQoWSfNkk6nWPnfIJho0zf6ASdeo35YImzY202epvkzBzlVJlyskzezPMX5/6CSq/CSneFIHqRONGExjtKd5Au9XG2cQ47sLmldCMDFyXpUonS+AS5fD9Vr4bt24xmRjFVE4kkiAJ+54nf4WTlJLcPvon71x9CICinyhzuP8w7d7yT/3r2v/Lo3ANITUEqgsncJP/qwM9R+dKjzDzx2PZ26Gac6SSvYDOdKhQRQqCoKuUduxjdd5CRfQfpn5xCUdT4WiZAUbUrqkmiKMS1bY7f+2Xmjj+D025RHBljaNdeJo9cQ3nHLsLAj5VJvR6u3cWzu6QKJYrDI9/zsfC9oL62gtvpYKbTOO02yVyeTKkPRVWRUrLw/HE0w6Bbr1O5OMfmxXl8x0EzDNrVCpsX53l5t+6h295KcWSM5voqF08+t03mKapGaWSUwsgYgetQXV5keM9+RvYewEylSCRTmKl0bIMqBOlCcZssmT9xDDOVYnN+juNf+1t2Xncj1779PWiGEddwNJ2Zxgw//fWfZrkbv1++I/nYx0LO7exj9dpb+Fn5cea7BX63+T5+pKxT+Px/o/yReygMznDq/h7qowv8+/cqHNuX5ebcW7j1guBz8luUGjUWSwqOZlLPu9w5dCeH14sM943z1rd96LIxPbF5gqnc1GtK3P9jwrVtvvV//xH9EzvwXYfG+ioyikikM1QuzpNIpem1W7SrFRrrqxiWRTKXJzcwSHV5kc5Wo1//+CTv//WPkki/mH3tOw4Lzx9n9cJZxg4dYeKqq/9RFFkn7/86mwtz7LnpVnIDZRRVjS3xNRVV01DUWN24ev4Mi6efx7CSpApFls+eZvX8WbL9A6SLRU7c91XiuLIIw7JIF0pk+vrxnB6r588yuHM3O6+9kZ3X3Ujf+OS2Snj++DN89Q//A712i13X38zgrj1MHDqCblksPPcsjbVVmhtrJHMFqssXEQhu/8hPUJ7a+Z137nUAr5Nar+N1vObotT2O3buA54bxTZEAtjp+Ljy9ju9sdfEFEYoitgmgF6AQoDtNXLOA6TURUUCkGHjmi1Za6c4SSImvpwj0FKFqIqWHDCtI6cYF2bBJqTfDvu4Gqco6asJASSZRkkmOD+gkz/qg9GMnTHqGgRE4FPoKRLt2crLtEogQjZBFfLJuP2kvTyJIINI6RsnEDMEUAlVTyJYSIASBF5IuJhi+ucxjXRs7qaCpCpoQ6EKgCoEmQBUCXRFoQlA2dFKOzXKjwW5Tpb88iJH49t1sUkqarWNk0gdR1Xgy5LhrzM39AfXqk3hOi0iGSBmCDIncItIrEOnTKIkeoabiksDCRtoQBgp1o8Q54wAno6t4TrmGXFBHkRGOauEoCRDQUbJYsotDAhDoeHgifn9N+kwwj4YfF7RRth8BOk1ytEX8GSoyRCK2bZ0ATNnDFfF+T4o1xsQq5WiFUJhEqokZVkhGm0wyy6RYJJsoI2VA11ml0fcTHBz7AQaosikGEVqeHUkT82W5DL7fZHHpz1hszdOOLGxh0a+6lNUe1e4imoC02YdhDpDKHmWw/2409XJVWrX6IGdXv0Wjt4gvFTypkXCeJxXGRX7bTzDTnOJCfSdtv0jB3GAiu8hIegXLSGAaBRxnnk+Z/4JH5XXsUteo+jrNRgqcCAyFwcE0H/BMBh6tYS/HRb6hq0vUdqUIw4hHGh2eaXaxnYBUxiCb0EkAIRBK6Nk+uwyDmx9roUuBj6SmShwheSoZYmc01rvuZfv2UqR1FV3GJFbS1La/x5GURFLS8yM6wavrLgRAyFjq9iowjGAnKteg8u6JHFbaQNqSZ2otPtd2mIsCxlBBgKcI/ISKk4BSsknaMikrFoOBQXldUpOSjgphFOHg4+Li6ctUtTkGNYGu9ggFBAr0lIDh5ArrTpmk1kNTAlQRoikB45qL6hbQrXU8zSEQAYHUCKVChCCjd1G3coFmazuY6mkM2H0MuCG5sIoW1tCdOWTYJpQKlupvFV0lSIOQQyjCBDKowkcIF4FHJKEmh0gr58iJs6hKQCd4B5vB/0JSLGGpj+IpPdpC4nEGQzZxMGlj0ZEWHSx60mRA1FmU/TweHcBDR9lStqRxOKTMkcDFJkGPBAXR5YPqfZeQIC1pAYKv6Dv4y1wCW5FbaoO4zNw0WnSNK3dfXulQKISSdAQdYZAN+jHFThYiB0+bRQ8MEB5KmEREFl3FJQrKSK0OQhK5/Qinj0gmQfFAa+E3r0X6BUCgqB0OJgXJVIaEGuGbG9TN59AVk4JuoYUBVqI/Hv8owrAFZqvFhewCruxhSAMjMkhHBbpJByUC1Y/Q1BSamkQXFnXf4aRzAo0MabVAXiRJhjZNf46LqZlLyDMlUoiUVybT1EjFlAls9coFfTMwKHUSjK2qtLI6qpGh3EiQcQLSbkQiMBlyTNLNFqlqDcNxMDwPX9fJtVps9vWxOdBPqKhEqoKVSkNfEVEqkkqnIWEhEyZdVSNfLpNLpzEEeN0Ort0hEiq19XV032F9+hymlURPWHTqNRpry3iOg6brcdOE/2K3uplKo5smURAShj6hHyAUQbpYQtMNNMNAMxPopomZTJFIp7EbDaIoIvB9TMvC7XYIfA8ZRQhVRSAIPJdi3iLfOY3aWaHW8mj6CdKaR8mwUZUIFYkQEuUl5N/OdI3GwBuxRRq7toFTiTvQlS3L0QgVKRQiVNxQxfZVFAUcH3qhTi/QCaUglAp2GBfRVBGRUANGUx3qrokjkqRNSJuSnCWJFIMT8yG6rlDIp8iXCjTqTVZWmyiqipXJ0m28qGhTFIXJfrjROsZAyudCd5B81uTccsiJ2gAJNYjVSRmFQ/l1Wh0fkiU0RaL2KmgiRBUR6BYrTZ1NL4PUUyiazqHkLHuzFZRw63uq6MhUmVrbw7EdzrcH2HQsMrpLWvPI6g5DkxNkVBsZhSSLZUDC7P1EhR08utJPo9bgSH+TYWOTNXUXJbFJIqgRqBZNfZRqWGSoL0HaXcS1ezTCDIamoOkqqamjKBe+irCrIFTY8SbY9w7IjcWWn4tPxvafMoTAje1Bhw7D+C3Qtxu2Cmwn//K/ED7/VwR+gK31k9EdUqpLxxxBHbmawckphvYdQsgoXpdufXd2n68VPvN+uHBv/PPwNZAsxSrWtZNQOQdGJrYjHb8pzswLnPj3fwQl0/+XEXgeS2dP0a5sUhgeYXjPPhTlu1eXT9en+fn7f55IRvzg3h9EIvn06U+zbq+zv7ifn7r6pxhKDbG7sPsVbdrWu+v81uO/xYNLD2JpFjkzhxu4dPwOfuSzK7+L6cY0qlDZW9zLrvwuVKHSZ/Vx38J92L5N0SpSTpYZt0ZY6C1hKAbPV55n3d5SRCgGd4zfQdbM8sbRN7KnsIdfuP8XWOuu8WOHf4y7J+/etqeTQQBRhDAMItvGW1wiWF/DX12j8olPECwuUu3PEQ7q9BWaZGpduicNWpOTeO/5AHp/P7ndeyiODqJUNpn90R9HptJc83/9YSzSFIJqWtLoVjA+82X0ros1Mk44VuZXor/iyY3L6xKa0Lhu8DqabhMhBMOpYXJGlgN/+jDB2hof/f5vn0n6At468dbYTjI7wW1jtxHIgCAKyJt5BpKvzgY+khEX6hf4/PnPc3zjOPlEnj2FPYxnxikkClxXvo6cmbtEUbDWXeP4xnF+87HfpON3tl8fsAbIJXLcPnY7NwzewNHyUXRFj4v43S6ubaOoCnrCwkjEpIHvONTXVmhtbtBrNVk8/TybC/N0atWYUBCCwuAwmb5+NF1n9MBVLDz3LJ5tY6bTqJpGIpWhNDrGwvPHt7JWBugbm+DAP7nteybEpJRUnSornRVWuiucqpziU6c+FTsZADtyO/ijt/4Rg6nBS/5n+qnHmDv+DDKKMLfs27IDg+QGygSei2f3tjOkeu0WUkb0jU0iFEF1aZHKxXkqF+fpbdlARmGIlc3FKqehYfJbz263y+r0eXrtJp5t49o2iUyGTLGPdq2CoqoYCYuNuRlalQ0S6UyskN56BL6HkbC46o67uObud5LtH8APfdp+myAMmH7wQU40T/FkYprj7ZNAbFloqiZO6DCRnWAqN8VSe4mLrYtIJJZm8YbhN5DUk8w2Z3l241lSeooduR3UnBob9sa2Wq9oFrnV20/JS9En8oiuj7dRx9tsYDfqJHN59t/6JsxkmmNf/SJO59Jmy8LwKPtu+Sf02m1mjz1Jr90m9H2sbJa5vSFPZud4c2MvaTNDQ7V5NHyOSrLHvuUcN5wqoCgKxZExVE1nY34GIQRv+MCHOPimO0ik06iajmvbrM9OxwoRIQh9DzOZYmByB+IKuYav43L02i0WTz9P4HlYmSyzx57k+L1/C8RK/oHJKQ6/5e30jY1z6sFvUl1coLq8iKKolEbHmT9xjMB75bl4eccu9tx0KwfeePt2ltq3Q8Np8MsP/zIJNcGFZx+lanXpGYI3nuhnT9iHW7VBQk0tcFfDpn/2NPqBgzhnzvDkviSfuQ1+sn03y2dOxffbV4/wx8VvbK//X137i/zIwX/2P5Q13j8kqksXefK/fR7PcWhurFEaHWdw5x4KQ8OM7j+4raZ7NVifm0GGIeWdu1+z8bVbTc4/9jDf+OR/QVFVovDKNRtFja9/URgghLJNdmu6wfDefbRrNRprK4wdOMTdP/0LnHnofjr1Kp1alU61SrdZ55q3vYtr73nPK26L17N55it/w9Nf+utLLBkhVm9m+8s0VlfIDw6RzOW4/Z//JKXRsVdY2+t4Of5BSC0hxN3AfwRU4BNSyo++7O9i6+9vB2zgw1LKY99pva+TWq8daqtdKkttGosdsgUT76HzdBUIxwpomiBXMlFLRYZ25rfVL1JKTj+8QmPT5sibx0gXY3nz+afWWXiuQn7AYmjXVsaRprL2yEmcWpud77ieVN935wv+vaAdhDze6LDq+lyfS7E//epl/lEYxY0mEpbO1Zk7sUl9zSZdMPGcENf2yQ0k6R9Ls7nQprLcwXdDwiDaChyNVUtmUqNZ6eE7IYlUXOCSEUSRJHADBoz/l703D7Lkuut8P+fkfvfa9+q9ulutfWtLsiVbxgZ7jBcwZnjY8BgTDLzAMfPgDcuwxizwePMYeAtMQEzEwANsGA+GAbxi2diSbO1SS72v1bVvt+6a9+bNzHPO+yOrq7vVLVkyNgymvxE3Km5V3qy8uZ7z+/6+3+8mxbQKRuGbLn3P/ndMGJJYLrFjE9sWj9x3H3OlDqVwHa19SjmfkuxitTStTkpZD5ETAwSuj+vZpGmdzfoJVNS57nezHJddt2cSWTfIcWH5NLMb5+n13cSTB+6nUeoniDp0/Bz1yuA1n3d1iiUtHK1ILJvuy24NA45NYjSDjsOU73KqFbKSvr5cqaAbYqkUx024pXuEGXUeGUGz00+/ozjcV6ZoC1qdOhfteZIgotb1uK3cYkffXjQdNmtfYlH1s7w+ikkyRZowoG2XR0cfomd5zJo9hCKP3pqsByrBEwYpYHNLvdaH4pYooSYsbCMo24J+30JZNjOBy3fKDv0jPrYYYX025Mj5Yzx66osUF+bpxT6JZWNcUNIiUQ5KWRTTNkhIfYviZJdp6yJSaKJSHtURpG2LXtelGwT4xRg/iEhTmzSxcd2Ygh3ix11ay3niTZe0lQXVWhim7l9m6NDG5XM5cQmse0jTKp47je1ptGxitGKlPkuobAZshedaWI7FRjfHarvAzLCLTnpYYhPEOsZEKH0LxrmFVEC7F9KOOowW6vjmaWy7TKFwACndrEvLnmSg/z4ePS/5pU8bUg2WFPTnXTZavesqh3w7IS16eJ6iV4U0uTyIcUoWke9g5Wz29eVYrUW0FlqYK3K3hATPE0QvPym5bFtpexa+Y9FuX2G55XZxBp7G5H1wNEJECLuObbmQrKNxUW4JY+fww8fRskhUeBvGmkTJFGESIMFiD0PVHMWVmMSXdPIR7aBJR7YoxIO8c32VmZaNbTw2rDrab+MmPg+0biXB0AN6Wz/Pe0sslM9RVD36tcvp4BzHcufoS0uc8xe4sm3Y0jl2Rfu5aGISqw1WG6wQ5OVu3rwwDDka2XOwuoYCmikSPFchbYMCUjI7tL6uJjKCCIGl4JN5n0ORJmgOYNIUX2jyjmZwuEvOMYjQJo0tVCKxgXORRdvAzvMlgl5GtKmetU3gKeQ1eSmp1ChpsLVEarY7RzteSiuXbp8vQc8h13UQW7ZrqbBIhUVkSYwM0MIllQ6eZUhyLRJ/k7K/iqUU95geQ0BealIroU/WCXRCrALm3EMctw4TWv1oDDXVpGY26dgdOnaHyIqoxBM0giab3ipKxCRkRF4se7hGMJSaLdWJQWLYlUS8oRMxkmrcLUJHbr18bZiJY1wDWvgsNX0SY2GcHIu7f4BqqGi02oTVDbpRF+XlMI4LGMRWqLJIEzytsIxChSEmjdGOh1Ws4A8MEfeiLD8Gg5IS1ekge12ESsmIwyyzR6iU7vhujJt1FAedDg88/jgD1U1O79tHdWAAN47x4xgnSQhz2bPUTlLcOMaNY4wUJLaDQoNl4fVigm5E0O1ipyln9+xkrc/GtgSOVuw9XyV0JSpuMbwRIozZ7hUWRpDvKVIpCT2bet5ioyQJfUPi+PSneYZ6knInom9xFeG6oDUmudbqSHge/sGDpIV8ZoO6top805uIH36YsYkJfM8jbjWoL86zev4sm4vzqDTB8QMcz8cNArRSbMxfzO4froPteliOQ9RqsXT6xLaNWbfVIt/Xx+DkNH6hyObSAhtzs69o3fNqEEJSGR0lCkOM1tcUeF6OQrmICmt002wi5gcu5cFh2rUqYfu1EatfC7YlyAcO2hiCnE9QKOCXysj8IKpdZXy0RKIkSdyjPneWxdWQgTwUcRIAACAASURBVJ17yQ+O0a5t0t6s0lhbRauUPXe/gVy5TG1pkfraCrlSmQP3P8ihN38buVKZbqvJ6oVzLJ48RhJ1OfalLxC1W5TzFpPOEhfDAWwS7uhfZi3KUYsDanGOrnplK2DIMgtH9+7Hsh3a9Rq1pQX23/cAt993N0H/KIsXFznz1FeYPfLc1nGAkakJOu0O7XoD/TKLMN8xlL2EjsnhEfGWgeNM5JqsW7tYdWcQqy8y2u8R7ns/o9YywfJXYfMcPWWx2v8glo6Y0Ocyi1IhUO061uRt8OafpZubYnOzzer5M8wde4lcucxDH/wwXu5bI1cSgOUX4fk/hL3fBjOXLbpIe1Cfh/5dmQLym4A0STBKbRfBtVZE7Ta5UplOo06n2cAvFPHzhdeVG5LEPWpLi1RGxzBa065tkkQRxmj8fIHaytK2GsXx/CxMPE2ZO/oC7WoVaVlEYZte2CYK20TtNm4Q4AY5uq1mdm2cP0t4RVZMrlxh7z1vYN/hB5i66ZZrbHsu2bdedz/oNFOcbimsnl19lt879ns8t/oczTgrtJe9MneP3M17976XWlRjOVxmvDDORneDPzvzZ2x0N/i+A99HpCLacRvf9sk5Oe4YuoM3T72ZF9Zf4NGFRzmyfoQLjQt00y6dtMO9o/cylh/bzgFbCVfYU9lDohN2lnby1um3cnjsMAWnQMG93N2t0oQXV47wb57995ytnyXv5Lll8BYMhoJT4P7x+4nSiDeMv2FbOWSMIa5v0v7En1P78mNEL76ItVVI6j38dpxf/Gecap1jvbPOcrhMvVdnND/KfUP3cqZxlpON08QqZr41z9n6WV4OKSQCwYdv+TD3jd3Hvr59rIQrrIQrPL3yNE+tPEXJLWFLm6VwiUavwVAwxK1Dt/Keve+h7JaxpIUtbGIds9ZZ40T1BN20i2M5DOeGeeeud74iuai1YvHkceqry3SbTVSaEBTL9MI27VoVy3YoDY1QGhqmPDRMaWgYL5cnTRLqK0u0qhsYramMjtE3NkHSi+jU65k1lBDMHT1CaXIcZ9cwYRLiWi4zfTMsnTrBicf+htrKEp16jXa9RrRF0LwW+MUSkwcOURoaZvLgITbmLrJ+8QLtzSpR2Ka2vHiVpZtKEuqrKyS9iIHJaaSUNNbXiLsdhJQMTu1g6qZbKA0Nb+e/dJp11mYvEBRLHLj/wddcGJxrzpHqlNH8KGm9zfFHv8jKuTOsXjhL1G5l6idj8AtFbNclardftSDv+EHWgLplR2c5DgMT0wxO7yBXriAtCy+Xp76yRG1lifry0lWZUEGxRGFgEC/I4QYB9dUVep2Q0sAQWmviqIufzzN58GZ6nTBTH1j2NuFVXZzn9BOPgYGJgzex+857GZ85yPEvP8KLn/8MkI09BnfuojQ6QjuvOHMg5oHKPdzs7aPTaCBtm4Gpaaqqzq8e+Q8sh8t0kg4Ft8D3zHwP79n9HnQ9xJis6aalQmYvHGP+s4+yfPLE9ndxgxwDE1P0jU8wvHMPiyePce7Zp9AqZfed93Dvez+QWfhV1wnrdU4/8RjVhTls12Pq0C30j09g2Q4r504zd/TFa3e2ENj5gLTdYfrmWxndu5/1ixdIehET+2/iwAMPMTi149rP3cA3HM2NNVw/d5VC55WQJglRq0mvExKFYXbNqxS0obayxJmnvsLK2dMU+gf4n3/9t1+XqvFX/vMH+ZhzBIC89vnORwZR0lC+7z7+0PoE/uzb+I72CO947OO0EPzMj3TYtVjirtN97L/vTTz0Ax+m0DfAbz7yqzy4763cOnXn9nPzWwELJ4+xfOYUL3z2kwgpcP2A8ZmD3P+B7ydXeu2Z1N8IXGl5eOihb+OOd3wnQ9M70Upx8aXnCYrlrBnQzZoBHc+/7hjHGMPc0SOsnD3NC3/9qW3V2Nje/bzvZ3+ZM09+BaMze3SdKrRK0UoRdzsYYxjffxNTN91MLwyJoy6V0XFsJzvmWqlvSPZV0ovohSHHH/0iXi7HrjvupjgwlLlfaYUQ8gZp+nXgG05qCSEs4DTwNmABeBr4PmPM8SuWeSfwETJS6zDwfxljDn+tdd8gtV4bjDJEqyH1i01aC23iWFFPNNF6iBVHhC3FRl1jTA0jXPJ2kc1UIyRIobFlSICgkRSwRcxYqUOqDOutgEj4iCw6HMlla6WrjRpetj3G4JiYwE7wfIlMInxXc/f/8nbG9lRe8XNXorrUxugs38hyJEHRQSCQtmAuTfg/P32ajfUObmzouoLn9ni8r7/Mv755iuHglSenYaPH0pk6j338DFGYZCoMlRXChyYLNDe6OL5NruRSWwnpthKEMDjpCo6lqNjZIBXHRRZLpMVBgoLNYHGV2AnppIplx+WRM+eYPvUc0ihS20ZZFk6cDXKbhTJaCOw0xVYpleYmTpoV69pBNiAodNuv+B2Q0J3K0evPQT6hTYGNeIBZaxelXsjDz30+O05lFxKFtlN6QQ6aFvmXrbc3kseUoWLXyPldCICWwZIKv9LDyWnCyKfZLrEmR6iN7WLR34HVqtHFp+mUGducZ3/tOH1sEnS7GbXtCIwjMMbKgk59MEaiU0k7LWAfixAKOqUCi4NTVMtD1MoD1MoDOEnM1PIsUussD0gIgm7IbSef5cnDb6LvUJMDvWN8UryXo4XrewwXTMx4UuP2zRMMhk3SsIA9t4BsrpM6HjJN8JIENzU4xiNWIYnMs5GboGcXiC2fVEgShjCin5qdYKPIiQ6psZmTPjW3RanyBJaWWMrHSoqUe3nAYlxUSUVKx44x2icRkq4VEVuKVIDCQiiN181TT4Zo5FNKeoP+pIpDh5Wgn47oZzjawFVgK4mlBKEHy7l+DqYKC5uq6sPJ9RgrLnNicz+R9vGsHp6IcGTCxaiCCBZR7T3kEghUl6rbf5ViDDIlmStiIq4lhgWaYbeJJwssxzaWANcStGODJuNeDlk2H3ZzHLQdvJxNZFLOo1iyLExgY3I2ouKxoBTHl5osNyIO7+zjoeESA0LzmQu/xqdqRbTqo516ILqAQ5AfY3LkDEqE7BSnGbLmsawUrQISbSGEpmxlr2E34qOL7+JonJCmu5COjSVjXFPFdh/FiRt0vcv3rby0UCZl0DZoA6ERhEow5kl6WrKWXMd3HAnOCKlOkKqO4PrBvA6ConEQxmIAj54GT0DRNhTthE3Ro5a6bOoePhJfCBompY0hL+CQsLGMQBnwjaAnDP10WQC0kWglkVowIlLmheaMffWgu6g0gdGsXVH4EsbgmkydEUuBNIbAQCgF+2NNS2hWbRt1xa09F1l0PMWr3O7xhENBBsx4O9hZ3EG308GECdKySG04mp4lMl2W0+rl8w2BiwPaEMkEO736H9hSMKR8ekIRipSOVBgB45FEa0ElhW5kM1ALuPl8CblFpiWWJrE1qWVQMrPKLIcOlhaEXspmKaZTiGn6isgxpJbBSyReLEltzYWxDqlluGXTpqw1gdbkjaaYat7c7uEqHyPdLMBZCC7UfS42i8TKwpUpgQN+ziNXyFOtt2m11ZZLx9c/WDVSZgTXaxyjCcBVW0/qrUCUniUZbnXZU23hxQlOHFMPPBo5j7F6Gy9VWDojnZQUCGPYyulGex7ac0FpRBxjJQkGSAIfVShAsYCIIvyllau2I3UcrK3g6mT3LvA9sCQgsIyhuP8AMk5I5udI5hfQGxu8HGJwEOvND1HI5+nqFGd8ApXPEVuSi6dPEuqU1GgsxyGNY9I4zuxLKn20qhv0Om3WLpzf7pCzHZf+iUlszyfpRSTdLnHUxWjN0I5dl9eTZOsSQnDwjW/mrne+51W7eJNetNUNKBBSZOMjKRBCQrdB+8inWDn5Ap2VWbQBpQ29VFJLC+RkhDCKnJ2St3vkRETOisgV8riORIdVdFijZKqI4ijx9/0ZqjxFULjcOHQpJ8FovZ1tBYbqwjyLJ48xtm8/+Uo/uXIZv1DM7DF01tgj7S1LDsv6hkyqmhvrLJ44yoEHHnpdnc+9TsiZJ7/CqSceY/7oEaZvvo31cydotzoEgcvAYJm+wT4GD97LzINvx/G8LVvGLD9CJQlGawoDg9v7RmvFk5/4rzzxiT+5KkciV65w5zvfw8jO3ZRHx+gbHQcyW6fmxjqLJ48R1mtIy2JzaYHG2ir5coWl0yepry5j2RbqFRS7/eOTlAcHmH3pRS7Nq8ojo1uFzh6dZoN8pY9Oo35VCHxldIzm+hr5Sj8DU9MIsgalg298iNryEipNCUolhnfuoW90jFZ1g4GpHRij6TYa2xPvsF5DpQnDu/ZuT8y/lZFEEfW1FcrDI1cp/l/43Kd47GO/T9LrURwcRCUJvTAk6UXk+/rpNhtXdfC6QY7yyCgDE1PMvOEBysOjBKUSjdUVWptV1mfPU1tepLm+Tm15MStaX7pevsa9WYgsT9G8jDAVQmYWTPkC3XZzu/M9KJYoDY1wy8NvZ3BqB8tnT3Hmya9w4flnSHoRXj7PwMQ0cdTNrKzCNlopdt5+J6XBoUwduLJEr9vhu376l67KO7kSa501LjQusBKu8MzqMzy++Djr3fVrlhsOhvn1N/86M95ONpcXkVJuZ7+8+MhnWJs9z/i+A0wcPMTkgUPkyhWiNGJ9eZ5oZYM0ikh6PYSUDO+foVdr0utk5IUhswXLlcqce+YJFk+doL6yRNioY1kWb/uRj2D2DvL/nfsjltvLAMy15tiMLhMBZa/MSG6ERCdsRpv89D0/zf7+/ewq7kTPzhGuLfMf0k/yVxc+uf2ZAX+AsldmOVymm2ZNAdPF6W0l2lum3sJIfoR23KadtGnHbQyGt06/lcFuDiEE/eOTr3rcX45LGYSdRp242922NruE5sYaZ5/6KgjJ4omjdFqNLTtYm06jzsbcxauyAq+E4weYLbXOlXCD3DbheiVs17suOeMGAe/9qV/EaM3G/Bwvfv7TVBfmcDyfwekd5Cv95Ct92bMkX8DLF9BakUQRSRQhpMT1AwoDgwxOThOUSrhB7lWfLc2NdYJiEce7rMDqtlukvR7FgcuNl4unTnDh+adZOHGM1QtnSXtXb7/jB6S9HsZoRvfOMLxzN2G9xvjMQfx8YdvCV9qXrXYnDx7CLxSYP36Uz/6n36S9WaVvfJLR3XvJVfpwXJfi4DA3v/nbtu3Zus0GjbVVGmsrCJkpj/OVPsojo5l6W+vtRpfS8PDXVFheUra5fkB5ZPRv/Rxubqzz0iOf4dwzT2ZWcQBCcNc7383ee+5j7ugR5o6+SHN9jVZ1/RXPBYDb3v5POPTgw/Q6Ib1OyPzxo5x6/EtE4bU1iqBY4oHv/RB77j78io0C3VaTXhhSGb02z9AYg1Yp1svmM8YYzj7zBI3VFXbfeS/FwUE69Rpf/P3/TKdR4/D7PsCu2+/+hhSfb+B/DCyePM6f/PLPUB4Z4S0/+CPsvvOe7b8ZYzj9xGOM7tlHeXj0qs+dnnuO7/7iD3I4d4Bno7PcKvZyXF0gIju/x6t59i6+m/m2ZLDyKZ6+qcYvWj/Eu97zwwTFf5jWga8VLz7yGf76d/9fAMZmDlAeGqEXtrn40gu4fsD7fuaXGJ85+HWvXyvF6vmzfOW/fZRws0qv2yXudugbHeeOd76bvXcdZval51k+fTIj106fZNcddzM4tYOn/+JPgWubAq5EaWiETrPO1MGb2XHrnThe1ny4ev4sz3/mLwGYvvk2dt1+F0M7dzO+/yCO+9qsYW/gHya+GaTWfcAvG2O+fev9zwIYY371imV+B/gbY8zHtt6fAt5sjFl+tXXfILVeGx7573/Bix//LMZ0t6zotoLsuX6Aq7CGMGoThEGKAGkNIv0HMPYQSmQ2SUIYEpFS91apSs1UdxpLpTQsRdXRYDWxiRFI0q2AcU+26JNrpMkksaogtIevJbYRlIzER3L4vXsY3lHC8S0uHNkg7SlGdpcoVHyidsLqbIOV802WztSvu+22K1nKC4ZrW5Z+ZByK2drubsXhgcNjlIdzJJHi3PNrFPp8jDasnG/QrmUPtuKgz87bhzACGrLBkeYs0foqwcY6X95zgDjIUUliRsKEp4bHWR7KOhgmVhe49exxds2dZ6BR59jMLXRsSbm+hJ0kaCkxBsbXF4kth3qxH1so0Iae7WKERb7XBmnQNmhL05M5Tnv7WFJjNKwyRkikUZRMC9tRDKVrLJen6Lo5hNAkxuW2kyfY1ZjFsusIFNIYDtQvcOtCnfn+Aqmd0vMFzZyDnyiKnYgX9g8xMBTSU4JIa5zUIV/PoUIHrSRGsU1gZkPqVxpYm2v/thXmILaCXw3yinCHy8tn6xaERUGjL2CkZmHFMaYXb+duQGb/Ybas38QVBd2un+N3Pvi/kdguwhh+6MinCc6EkIQYJ4dxcwjfY7zTohId5WKjd8W2GgqFNlJJpJ2C1CigF3tINyVJbVR4bYd0YiuahZjEAiWg66Uomakx7DQjF4TJzj9bZ8HunSBFCYGlJLGt6XoKRwn6my5uKrFTQTl0tovxrweRo/jCzYpq0VBOGqQyYDM9QD5/AmN1SaVCyxShbQqRYaDp4sU2WuQJRZG8Vuzo1NkU/Th0kMpCa4euVUbnDV5Pk1gCRIqRKZudnXS7u9BAmSWM0CjhEFhddlgHKIpJvj1uoeNVpJDkrKyg6EgXIR3yVmm70ymSCdpVSKNxex7nvSUi2eM/jf4x5/2lV/nWrx19LYOtQBqQGsY3De9+TnPwPDQPK5JdBpEzuI0B/OQWjAqRG2vYqcFRCrPSQmtNa8wj9ARCKWSqMcpwZtji6LRNr+IwlNj0dSXlTsrIbJN2MaK5y7A6CDVhaFgZqVDVEomhrQVNI2khGNSaHIa9OiGUkpqQ9GnNParHl0TAaeNy6byNXL3tYDiepOSMJhGCnhCsWRYH44R74pT+VFBMbXq2T8XZSd0ZxsRjKCVRsSFJFGmi8CxNz9i4bg43l6OVhNTmV5hxF3mH8yjCTggtybmwwhMXDlIeqGOPNUm1jVI2ykkYWrfxtOJ8UiBNXExiUw8U9XyKVIJmPs3uycB03aZU95FSY9mZIktf0jsZga0kOnnZJNZN6BR62BqcxEKmEmkrOsbG71w9US6WY9zhXYixPVSrs6AVRiscLdGpwpR9ZMFHr1XRK1VMSyNe4boTQiMxKPPaJ8fFgUEqI2OZYqZeI+n1touXw/v24+SLJEoxODZBUCwycvb3qDSOE3sDmOIEsT8EpQnErgdRdj4jJdKsk0xYFudefB6khXBcsCwK+QKFXI5ObZOBsIuu11GNBv7NN2O/dAz1V5/CGR1FWBZmq2h7ZnqEE73LRQhbStKXFVgt2yFXLiOlRWNjjZHpXRhMpj4Gpm66heFde9h37324rocyhtrSAtWFOZrVDSq5PIERGCmJk4TzF84QFApgDMa2UXGMShPSONn6mZFGQbFEUCrjuA7NlRXsOEZpxXp1g7W5WdK4h21bpC8jESzbolzO4+YKaG2wbYEtDK3NKq0woVywcaVmuBAz4rUYHQzot+pYURV+7CtQvHoy/IrQCpqL0GtDfOnVycZYtp/ZxpUns2VOfRpOfhJqF7Zs1iqwfgriFiBg+CDIzPaGbg3qc1AcAzcPbiHLePOKYLkQNUCnUBiG/DCUxuGOD0Lua9ux/EPHJdVJY22FlXNn2Xf4vq/Leu0Sep0OF198jjiKGJ85SN/Y+NdVOEyiiBf++lOEtSpj+w4ytneGsF5j+expBiamWDl3mqXTJ9iYn2PP3fey+/a7WZ+/yMq5M1i2je04+MUS7eoGxcEh/EJmsTU4uYPS0DCzLz7P85/+CzqNbPzb2LLveiXYroeQkiS6VqnXPzHFB3/lN4ijLivnzhDWazTWVmisrpAmMXGng1KKQw89TP/EFN1mA5UkDExO0zc2sV2QVGlCp9EgjXuZ4mN1mer8HBhD2KhvqZE8XD9ApSkXXniG1kZWKHV8n3xli0DSirBWw3JsMBn55hUKBIUiNz34MOUthUlQKtFtNgkbNTqNBt1mg1Z1g8b6KgOT05kFWJCjb3yCsF7jsT/+A5Koi+16DO/cjZvLkURdFk8eZ8etdzA4vZNOvYbluDi+R6FvgM3FeYJSmZHdezO1VLtNa7NKc32VxZPHr7GJAbBsm8roOKXBIcojo4zvO0B9NSPyK6NjuEFAGic01lYY3rmbVnUjI84vEToCRvfOMDi1EzB4+QJekNsmfi/NwV/tvEziHhePPM+Zp75Ce3MDN8jh+gFuLk8SRSyePEa7vrldHF8+fZKHPvRh7n7X+17b+a0SPnryoyyePM6bgrvwykWKbpG03eHUVx5l7qUj15Aj0rIY3TPD2uz57cJ43/gkhUof8yeOfk3C7+p12Yzs2sPA1A6KA4PMHnmW5TOnAJg4cIibHnwLOlX0VI+WCRkemeZYYYlz9XOshqtEKmIlXGG2OQuAZ3nM9M3QjJvMt+b54Vt+mO/a9130e/2InqLXCbF8j//n+G9TCfr40Vt/dHv/G62prSwhpCRXKqO1zsilep0/+Jl/kRXrxsbxiyWCQpH+iSluefjt2bVW20SrbP3rc7MZSVerXVOoC0pl+scnkVIipGDtwvltssAvlhicnN4i7FMc32d07wxje/czumcfuVIZgyFqtQjKZWzbASEywmV9leb6WvbaWMMvlOgfn6A0NIKUkvnjL2XkerlCrlzBy+UxJrO//cxv/ceryN6R3fu47e3vYP99b/qaNvF/l8hymEPCRo0kisiVKxT6+um2mpx47G849qVHqC0vUh4aYXNp4RXX4+XyaK1Joi5+scT3/Py/Y3jn34NN6zcJzY01NuYuUhkduy4Je+H5Z5g98hyloRH6xycItlSsreo6a7Pnt9Vdl2A7LnvvvY/pW27Dth3SNEGnKblShZ233fkNy0q7gRs4/ugXeeJP/5ja8iK777yHOOrSbWYK0erCHAOT03z/v/+PVymxhZAstBaYKE7wuy/+Lr/1wm9dtc4gtfnAX0+C0Xzi4WX2jRzk997zh99yKpn2ZpXW5gbl4VHam1UWTx3ni7/3u+y49Q7e+L0fuqqhYmP+Iv/t3/08I7v38p0/8a9prC6zubTA2ae+SnNjnUL/AJWR0W27PiEEYzMHsF1vS026zMbFWV743CfpNOrkK32M7p3ZtmyfO3qE2vLithWgtGyGd+5i5r43cec73o1l2zQ31lg8dYKlUycQQrDr9rtI04Rus0EaJ6Rxj4svvYCXyzF39Ai98Grb+kMPvZXD3/W9VEbGvuWO5Q28Mr4ZpNb7ge8wxvzw1vsPAYeNMT9+xTJ/BfzvxpjHtt4/Avy0MeYaxkoI8SPAjwBMT0/fdfHixa9ru/4x4aO//W/Z/MKLCOGC8JDGIhc18eMu0ggSJ6DnBFhaU6mfZa2cIx/FuEoR2xZrpRypZWGLhD3lNW4vb5C3Y5SRnGwM4VsJfsWhJksMyzrlqMbxjWE2ewGCLesjDJG2MbZhvFJnyu5QkimW1CTCpkOJR8KfhHj6Vb+LkFAechjfm8MqOHxprolGUpIWSmlUmBKtxJxyFCN39VPvKY6fqHKP5eOXXYJaykhbb0d7lMZyNNe7EFhY03mciRy9AZffPLFAGqWkgYVOQYQpOAI56XHT4mmEsuj0lamWK0y8eILBtSXGoyVGOte3GWpbOZp2ESVsLBRdJ4dPl3KrhTEWseXSFgW6Is9KMErHDnB0iqNS7q0d4/7eESw/wfRAOBLbk7SDHM0k4LHCXXyxeDuJENg65QNnPs/3nHrsmm2o5eH5Xf04SUK+ayj1UgqRIrUEseOwe/Xa7JLlPmj7kh1rGktBbEscbTBCEFuShYGA1IJSp0vXs6jnXDqey2AzRWqNsmCslmLrCCeFjmttdfpn67cMBHGCm4qMZNgqkGoBC0Pw+M052iP9JIHLSMdmsJUnL7rUKxHrQZdN2aUrFcYkjJ50GKqNIi2JPVBCJIZerQEYpG3QSsLLbmO+E2KsmNhAsdkmSBPsFAabZjvuqJWDzaIglSAtByVtYmmxMCTZrNgMtTzyW2oPtMCKsmK9EVlx2BISLQyJNMRbJ54TyayoL0GmILMmfrxygO1ZWLZE+ND2Q+gtMxhqhuyICSdkjC7Huv1U7X52To9hO4pEamJLY+QOnnxmg7jWRJpsPxsM9UKKrx0sP0JqgUwtiAUy/voKgV+4c4250cuFsqkkwTIw617b+T3TKbG3HlKMFX4iKGnDADF5BWvNCh1t06OM5+5mlzVNUmrweOUsXy2ep+pmk3xfufzExvcxPNHF1y3s2ePohQbnCgN4YQ63GlGKLcqxi5sokjQkNgmp0CS5gE4poO0qRtbmGJ691halUXZpDAfomsFWBltrSp0euUtqrEsnrBG4xRTL1XQ3nW22XEiDEKDTV1IeXCZuvUpCabqLtDVR3cF2NQiQtkE6GuGAMg5dIbnQ7qcrLELhsCDKYCB5WfG26HYJ3B4NlSfVPrY0OJZGWtAzLqEJQBswGqE1Mu4h9OvI/boOXFeitcEYUOr6YwMhoFjOEQQuniupbbZIYgVoot5lPW8uJ+nvz6OkQ7r1d2E0tm2RywW4Q3vom96LkBKlFEkcs3ruJPWleRzPJyiWyJUqhK02Rggmdu1FBAGDg8MMlSr033Ir8nVYR6k03Qpp7hBHXYJiCS+fp7G2yrHP/QVaZhkP1pYVoDHgbA3epW1fofDJup/33H34mm6wNEmIL5wneuJJ0uomql7HHhjAqlRAddGnv4xaX0XVNnGcFo7XRCuf2NqJDhuYdgOV2EQbAn/YwsQJSdcmDbN4HADpO+goa1wRQYDpZtfrwD//5wz/r//yqu3RWjH7wnNbNi81uq0mo3tmyJUrmQ1XdYXO3Et0l8+R1FcoiDZrYgK3NIAQAqUUF+drGAOea5ELHOrN6FXrlbbMLElBYNk21laelGXb2EJjpSEm7dGNDd0kIzhdS5PqTOE0POAxzvqHtQAAIABJREFU1mdRaR1nteMxGrSxhMaVClcqxoIWvnUdpaSTzwilNIL8YPYK+iGqQ9SEpedgz8Nw6/dmRNHs4xkJ1VyCpRfA8cHJbb0CaK1A63UQ7hN3w+gt2f/rbGb2ard8AAZnoDB0eTljoL0GxZHXvu4b+EeFsF7j5ONf4sADDxGUSrQ3N1nbUgwV+vpZPnsKFSeM7p3ZUt5pcpU+olaLz/3O/41fLF1lEyYti/LwCLbj4ubyRO0W1YW5a/6vEJJcpZLltPR61+2aRQj8XJ6kF6HSy9fhJZVDmsT0wjbN9fXt4Pe+sQlUmqC1JlcqEXc6rJw786pFZwDb8yj09dNYXd1SU15WFUzfcjs3v+VtLJ48Tm1pgbibkXUHH3iIu9713tdNhiZRFmbfXF8lbNSpjIxR6B+gf3zyGsu//9HxBz/9L1ibPce7/uXPMPOGB7aLPVopNpcWaG6s8ZX/+lGqC3OoNEFKydDO3aycPX3NukpDIxx840NMHjiUKXV7EUYbxvcfoNg/iEoTVs+fY+HE0Yxc29xk1x13se/e+zOrV9+jXa1mBPDkVGbn5rggyEjL1RUOPPDgVVZTSS/iwvPPUF2c59m/+vPMJu9lmDx4M9M338bO2+5kZM9eYp1wqnaKhdYCJ6onOL55nEavwQ8Xv5va55+ltrJEEnWvOmeHdu5m37330VxfI43jzP7x3JnrqlEs287I4AffShr36LZbdFtNNuZmr1HiSSvLkOkbn6TQ14+fL+D4Pn6+gLRtZl94ditnyqC1xi8UePB/+iG8XA4vn79KufR3hUvKVNt1yZUq/2DzPcwlC2cp2VxaQEiJny+g0hSdphlZ32zy3Cf/nKBUYtcddzN96LYbpMwVMMawcOJopg4N8nj5PKXBodeVmXMDN/C3webSAh/9uZ/ELxQo9A8SFEtEYYtC3wAnH/8SbpBj5g0PMPOGN/LlP/ovlIdHeM9P/lzW7KMTPvSpD9FTPT72Tz7G3yz8Df/qS/+Kfzrzvbw5f5gfff4n+IU3/AIf2P+Bv++v+Q1BEkUsbFl8vvj5T1/zPBrZvZcP/OKvXPf6ffRjv89Tf/7xq37n5fIMTu+kVd2guf61LdYnDhzipje9hb333neVlaHRmgsvPMu5Z55kz92Hmb75ttdl9/xyGGMya9gkRiUpru9vjzFv4B8Xvhmk1vcA3/4yUuteY8xHrljmk8CvvozU+iljzLOvtu4bSq3Xhma4ycc/9X/wwlNfYmTDYcjNwdgAYd80azLzPA6MZsCKub2zzLOz88RjBfJuSnc9ZPB8l/4Vj3ouYLX8Mj/cLQWOS4ovFZGxiI2N0IZCL7M5UFKghUQagxYQXafwDYaJcpUxT2JLH2EkwnQJLIX0CpzVe1mTPpa1hiNiVnQf/aLJB50v0sbnlJ7iRbObz6u7mIku8tDcV9FSo20BgeBzhfuhnnK6so+z+w4RCIsJp4kRNTaSEnuqs5SSFo5K8VTEbSsn6GmbZbdMPgkJki7Sgr2FNZZaBepp1pF2KacHwEtSpjeaDLY7uKmmkfPoehY5EzGy3kMaSCUsD4KwDZNLr71bYLMApQ50PMj1wL7iWaSkQdkCJ76sOfrCrYKlewXv6jQooTBAn4GSgRUzyBfUreTpMiE2GBObgGFtM8eZZgWFR59Q5NMqzkaHOLU4VZkA1ydnOqSOZNUN6KRw/8JZlJA0PZ9CL8FLoL+TcGGwj44XkE9TzgdD/PHO9/NtzvOMFwSFfJ584FP2JTcvfoK0F9LcVJREj4LTw2rHsGaorXm4G1mRILZhqT9T1yQWWBr6W1Da4lU0mTLqqb0Batyn0cweYMWoyV1n6/hptg9qeUm16FCIBF6i6AuT7X3WztlQGcT4Fmp4GMf1cISgt7JJ0AnxtEakCpMk6G4XE0VU3v/dyFIJEydYfRWckRG8mRnExAS9RgN5YRYECNvBmZygU6mQz+dxbJu1lRVOHDvG8aNH2VzPLF2MlNvKM7fXIbE058ZbTO6cYtgdwEoEldMnKC+d5a3Bs7RUkVi6CCmQlmHQrFFXOR7v3IHnSPr9Hs3EpxpaOEmDRs/BtQW+K/BtzYBdY9Kr4hXLRN44bVlBe33kR0eYa4bsrz5O3g/QuX6ealk0Q5tzz1epDOe45b4RausbHPXWWc33aBjFTbqPslfCsvN4Zy3WRzZ43F7iqG5naqIrRHyXSMPrwdKSidog081RvJ6hvyEZrLYpx11Et4dCZPcVKTAI+sKI1BL0XJueY9H0PMx1unHyccK006VSUCTSJ9QOLWGzcB03TwEM5yV+4GEXi8igiPAKCL+EZVv095fIeYKo26UbdojCDkV6xCvruJ0mxpZoS9IzhguNhMrQKKbRIV1ZJe1GJJYksS20AC9R2NpsH/vQc2n7WWctxuAnikonwlEaadmEM1OovgFwC3SXFxBJRG5gBC8IsgDpbgfVi7BsG9fzEUpjWxa2tMjbDvLsOSwg7wdYKstUEolCRBHxxgZ+1ENJSWpJdLmEU6sTlUukQ4PEjk3PksQC9iqJXSyyubaK7HSQ7ZC4r0ylGVJIFGM//3N4Bw8iLAt7ZATpvT6pv1GKZH6e+OJFVKOBqjcQroOq1UAI0rV1kpUV0pUVDCazqWu1wLZhqygV3H47lfd/N72z50irVYTrIFyX+MIs0bFjmF4PYdvYQ0PYw8OkGxvE8/N4+7Jg2nR9fetzLoM/9mM442N0nnkWtVklrdWQfkD/D/4AwvOyTKctAlH3eoSPPU7rkUcQroPpRugowp2cIFlcQne2uv0tC6tUQtXrV3WtiyDAqlRIV1dha/IhXZCuhfA8pCNxR0vEyzVkPsApWNg5hWX10GFIXO0ycKCNNzUMIzfRONrC0nWKhdMIvwhSZqqg/t0ZeeNXMmVRGkGvmZE5fil731zKVEG5Adj3dihNwAt/BK3LYvpYWaz1ChxvDNFTDv15zUBJMiA3Key6nfXlNRobVSxhsIVmaucI7trzSAxiYA9Z2KTKCCKdgh3AyCFwcxjpkpApOwjXMKvHkQIQFux9K9z/kUzN1K1BWIXuJhRGMpXT5vnsxuOVwC9n5JH9KhOmx34DHvk32fZA1nlQmgDLgT1vzbYt6UISZj+dICPB/EqmonIL4OYyNVUcZmqr5iLkBmH3Q9m+voEb+HvGE3/6x6xeOMv4/psY33eA4uDgliLy8j3aaM3qhXP0wnBbcVVdnKe6ME97cyOzpbQthqZ3becaZEHwezBGb9v1aKWIt9Rifv5rZ2pciUsFikuqkm6ruW3nlStVyFUq12QpXLLritotJg/efMN26hXw9F/8KV/+o/8CwL5776d/Yop2rcry6ZPbRGKhr5/99z+I7brEUZfnP53Z+Lz3p36BXKmCEALb8xiYnP577YCOoy69MNy2gEt6Eae/+hinnniM9YsXwBjcIKA4MIRWCsu2KQ0N4+cLtKobzB9/idLQMLtuvxs3CLYVSp1GnSc+8SekcS/L73Bc3CDHyJ69jO3bj9GGJOoihMjyXzoht73tHdeoXjbmL7J89hSDUzuyHCjLxrKs12XBegM3cAM3cANX45XyIhdPHuelL36OM08+Tty93IT78D/7UXbfcTelocySNlYxBbeA0opfe/rX+NjJj5F38oRJyGe/+7OMF177mH31/Fk+89u/gV8oMnnwEBMHb2Z85sC2ivWVtlUrxdKpE5x//mlKg8NEYZvdd97zt1KFRmGbp/7842itWT1/hqVTJ7fsO20Ovukt7L7zHuory5kKc2LyVRtzGmsr/Mkv/yy7br+LyYOHqIyNMzi1Y7ux4hJBZjCoOOHsM0/geD5J3KOyZdt8g+y+gb9r3LAf/BbGRneD3znyO/zl+b8kTK7taHs5povT3DVyF2ES8sS5z7NzI+H9n7Uohw5aWiQSzo9HlEMbozMSwUsVbprQrnQwh3fiWjYF36fsuVTyZcxql82nTxPVIugqrFgjEGzmfRb682h5/Rtq2YvodztIYRAYFsMSEkOkHCxL0JePCJIu61EelUiiLc9lqTX60qRhK4h+IO6ys1hjIB+y1i3Q73e4UO2nbnzawiW2Lm+D1JpcnOIlKW3fJbYt+tsRI80QJQSh7+CminqxzuwIXBiF1AInhYG2YXoV+kJYHpNMaQevndK3pBApnDmYR+3oR4msg9bRbRIU9U4Xo0EKkJakl/NZD/aQqDwVCgQ5B0xIunqeRHQZm91Aakg8g3Ig7VO8saK5vZsnEpOg8zhGoPIaBgXl7jxe7RSpnScOhmk6g6y1FZVonh3icu7JCgN0tMNuuYI2AimuvgdoBEv5Q9iOR4mQDZ3nK4W3004lBSuhGyvqUcpA3uWfll7CPXu1TQGQFfoGZ1DCAq+A9IsIr4RxizTsftYuxqyeXqZ1cZF4bYWYBFtaGOnR9Ieo5sbpy/vs7vMwaxcY++pXSSWcGbMZ29QEiea573gjhXIRubmK1ajjNFu0A0ni2ux73/dz133vzsJ0CwXEa+y01d0uCz/+EbovvYTpdhGuiw6/9jWFlNsF6tcKLQVSv/b7rxHgjycYLUlbEivQ5MZjmq08acnBchW2rdCWRc+4JMZGD3fIF5uMkFLshRBKLFez3KrQFh45namW9Boct4Z41prY/n+2UIy6LYSExEhSY5FqSWIkAnCEQmDoKodIOwROjLAUYRQg5NZAyAgsqcFLELZAhf624uQSKmFE7FhYlsZyDLarESkgYSMOcK2UnJPiOFB2YopujCUNaEMaaxyTMtvpY72X3zbQ9CxN3k0Z6ndo7X2I0sQMOc/FEYJzzz5JuLyIIwWWZWWEgzEopUjjHp167fJhtSzcIEfUbl3/GOaKEEfZOqTMsrekxC4UcTwXk8SYJEWnCSZN8QpFCvkSg/feR35oBEsIBkdGGFteZvHHPwJpivB9vH378PbP4O8/gCwU6Dz1VGbzaVlgSUy3S/vLj2Yk0BVwd+/GmZhAt1oIJyN5/v/27j1OrrrM8/jnd86pe1d39b3T6aSTkBBIICQEBHQUAqgIK+JtdhxZHV1HZ3SYmR1fjru6Xlbltbpeh9VZZVRwFG8Moiig4shluCUhhovkHnJPOp1OX6vrcqrO+e0fpxISSEiAJF3pfN+vV7+SVJ2q/lWSfurUeX7P85hYDJNMEp/Wg0kmo+cASmvXkpg5i+rAAJWdOwlLxShBUy7hNmSpDg4SnzkDr6UVtzGLv207bi5HadUqymvWPPtNYzGM6xKf1kN8xgxMIonxPMobN+Ikk4Tl8kE/G7ZSwd+6dX+F0aE4jY3EurrwujrBGGJTphDv6SEYGcFrayP0ffZ85atR7E8m8drasJUKtlwm1t1N8pwFuA0NWN+n0t9PtX8Pbi5HbGo3/jObwHXw2trw2toprVnN+P0PPPt9Oztwc834O7ZT3XmYU5VYjOzll+HE45hUCieRoLx+PbHp04lPm0bjVVfhdXRgHIewVCIsFiEMcdJpnFT0ISgsFKj29+Nks3ith559ckh7N8LqO2D307B7FWCjpFT3Igj8KIEU+DCwDsb3RFVK1RJ4iSih1L0wSuzEG6L2eXNeBz3nwb7KBmujpI3j1b7cKAm779/waC7WbbwX7vt8lOjZ13avqQc65sHpr4+SRBOhWoahLVFCqutsVUuJyKQTBgHDu3ex5qEH+MNdv8AvFck05Whs72T+JZfT1N5J99wzDqoIGt7dR2Fk6GXN1jjRCqMjbH3qcXasXc34UDRrK6hWyA8OUhrPYwwsuuJqznndlYecMzdQmzvUNn3GCVy1iIi8XJVyiY0rlpFIZ1h+x21se/pJAC586zt41Z++83nH37v1Xj758CfpynRx6xtvpTA6QirbeMRNG6sfvI9//+7/I5aI2ir3b9qItSHGcVh81TVMmTOXu274Ik2dU+iaNZvTL3o1jW3tPLPyMR771e0HVc0DZNvaufZ/f+2gqqZqpcLahx9g44qlZHItNE/ppvfsRQdVzBZGR3jynrtr7f6i9tRt03vpXbCI3rMXMvWMeRNS5Styoh2PpJYHrAMuA3YAy4E/t9Y+fcAxVwF/A1wJXADcYK19xZGeW0mtlyYIA9YPryewATMbZ5LyUoQ2ZNf4Lnbkd+AYhxmNM2hPP9sKp1gtUq6WuemPN9E3vovCyF4akzmue9VHAPjRA9/AwZBr62ZG5xm8sudV++fkvJDqeInbfvhN+lfczYWPbKXqxBhodPA9mDIUMppMMpzxGG7IUHW8WhcwS7Ia4gYBSb9C1XUZTcUJMbTli5TiDo/MK/Dw/AKxwPLW/0jRO+zwh+kFevqbSPgZSvs+uNQqzdwgJFUpARUCt8rudp/NnRWm9geMp6A/B52D0D4Ku5thT1OUuGoswN6sIcjNw7EO1ljSgUtL6LMnXqBoMzRWGmmqNOEbH9/1aYu3MSXWRnM8S6NtwoZQCavEEjGKjo+TihFzPfyxEuXxIuFgmR7bxsx0N/HBsNa061nD7hipMEGCOG6qQFgok1o0l8bX9+LlklSHS4zdv53xR3bR9ZHz8FpT0YXH5150DAPYtjTacd4yE2IpyqUSt//qg5S2P8C7LvgwTussaJ4Bu56Avqfgmfui3f3plmg2yNCmQ/47WzdNPn4t4+OvwDhVnBiYWLRD3+1sJzGzETAEeR/jOiTm5PCanl/VcbhdLvvuG3zwQVb+8scEK1dQTLv0fOJ/ct55bzji/8NDPl9osdUQ40X97I8kLJep9vdTfPxxdm1dzffW/oCBnkZ8z1IsjjG9L6CrnKQQFMkksljHYaw6huPGKFuf9lQ7pzfNwfViOK5Lz9Qz6U524G/bjnUdQtcQGktyWi+JljZGVz6G19JKvhLNeyjtHcEzsG3LE7Sv2spwBvpzDrN3GdpGA4pxSB16hjQAgeNQSiajn6vyoYcCh8YQGuhvzOzv5DjYkGIsGc0wc62N2kg6Dq4FKn7tMYZ4EBILAvqzaRwLJuaTz8VxbYBrK5gwwBAjUY3RxhhNYZlMxcfZEye2x2fgmhzBNe9gztSr2bN7gHQ6TTwZp6e7h3gsdtCO10KhQKFQwPd9isUixWKR8fFxli1bRn50hJZsA317B7EmekxDQwPZbJb+/n6C2rwAz/PwPI9S6RCtlQCCKiYIsK4X/SwZg2dDEqkU2XSKoeERypUqOIaeadOZN28evb29JJNJHMfBcRyy2SzOi9ypW9ndz/jDD1Nes4bS2rWU16yJqnwAN5fDpFJQrWJrM5fS559Pw5JLcHPNOOkUTjpNYvZszCEu3hxL4fg4+QcfwvplbKWKv2kT1i/jb92Gv21rlFzyK8SmdkMQJXLwnk2YGNcjNq2H5Ny5xGfOwm3O4TY1YX0/atNnzFFVfvnbtoG1xHp6XtauaBsEjD/4IG5LC8n58/c/VzA6yvBtPyM+cwZuY2OUVHQccD0SM2fgZDIv+LwiIiITKay1JH45s+lERETq1Y61q/nxJz9CIpOhPD7Okr/4AOe+4Y3PO27UHyUIA3Ytf5y7v/EVzr/6rZx1yeUURoZpbOugsb3joOPXLX2IX37183TPOYMrr/swTR1dlAsFdq1bzdMP/J41D92PMQ5t03vJtrXTt2Hd/tmoAL0LFrHgstfTM+9s7rnx6yTSadY8dD+pbCPdp59JQ0srA9u30rdhLX6xSENLK36xgF8s4noel7/vQ2Ryzaxb+hCrH7yPoFJhxjnn8sq3v5PO02brfV1OScc8qVV70iuBrwEu8F1r7fXGmL8CsNZ+00RXqb8OXAEUgPccap7WcympNXkUKgW+fe8Xab7tftoLLomKwWnNsdcfZmhgO6lyNGepkAA/5dHou1SAuxZWqLpw7qYYTlBlXXfI5k5DA9NYUFhI1amyMrOC4fgw0/PTcatxtjWs5YytDu0jhp2tZeZuS7N5mk+2pZmMmUZzuY052Rzx2BzcjnY6pkxld2Ubq3euZ+PYBop7Rphl5lCOFxmuDtNQTHJJaQG9bjfpokdASNgdpzDVYLaXMOWAgj9Oo2mggTSOcQnH/GdbsZlaX7bDFPDEutJ4nRnCvE/mginEpmQIRn0ILCbuEBarBENlgjGfMF/Ba0vS8OqegxIx1b1F+r74GE7aI3vpdIxjcFuTxKc24Da8cO/an6z5CZ9b+jnueds9dGW6Dn9gGMKOx6IkV6oZG4ZU9xYZu28bhY0GryNHck5zlCzyQ6wfUNk9TjBUxlae8+JdQ6K3keySacSnZbGBhWpIWAmp7h7HbUzgNMRwEi4m6b1g0ikYrzD6uy0EQ2XCYpWwUCExq4nEzCaKawbxckli3ZloPTvHKa0dpDpShmqtreTsHO3vO/sF/472f69ihbAS8PfLPszmZ9bxoeK1mJRLtdkQNLusKDzOq0rncn5sIV46DhkHNx1npG+AlEnhpeLRa0q42HIAFkprBwny0Wycff9fTO1XWw2pDhSjYw+Qb/MxgSE97FFMVRhpHCJXaiWxuwjVMtZUcJyA+MxmvJYYQ39cRmV8CMZHqBYCUk0z8CplrG3HukkqWYdEc4bHmvOcfs4C2ofHsMWAcDyk+OAfcYs+1dIwxnEwpXFsaYgxd4yx8zroT/k0ZzuItXcQtDby5Kr7aNuZZ9Hdzxy5Aq1W2db01rfQff31R/Vv8EIGBwe58847qVQq9Pb2MmfOHHK1lpBurW1NsVgkn8+TzWaJx+Ns376d4eFhfN+nUqkQi8VoaGjAWku11uJu38yD/v5+isUiw8PDtLW10dXVRWdnJ93d3VG113FgraXav4dq3y6SZ521v8JKRERERERE5FQ31LeTbGs7d/7TF9iw/FHOvfJNzHv1EjpnzT7ouI0rlvKLL11PPJk6aF6j43pc8q7/ytmXXcHYQD8P3HITG5Y/SsfM0/izT3/heXP3bBjy2K9uxy8WWPSGq0k3NlGtVHjoJ98nkc4w95WvJtc55XkbtndtWMvDt/6Qkf7d5PcOkMk103vOucw+7wJ6FywCYGzvHn7zzRvY+tTjQDRfdP5rLmXRFVeftPMORY6V45LUOl6U1Do13LLqFj6//PO0JFuY3zqfqQ1TGfVHWbF7BWc0nsFUp4v1w+tJFjyuXf8G1nu7mJc6jenJLvz+ce6LPc0ud4RCUMQlQUP/Qja3PMVgeie5YgcVt8y04bk0B+3MOr+Fkc4NbHp4AxjwU1WC4sHVUbkwzVv9Cw+6rTjD0JprI31+F9U9Rcbu30YwVMbrTOPlomoCk3Ax8eiCs9uUIDE9S3xaFicdVUxUh0pU9xTxd4zhJD1inVEyy80cm4qKvi8/RnXP81t5ubkEidNyxKdHa6nsyFPeNAKhJTm3mc3ZPn7wyM20JlqZ0TyDaQNtxJNJFrztYuK5Wp/gSogNLf72McJ8hfwjO6nsyGMrIVUn4K7eR+i8eA5Xzr6KlJc66PuHlYDKtjFM3MVpiGPLVcaX76a4ai/B4GGqZA5cf2uSxounEYyWSZ3VRqwrqoywoaWwsp/8o7uo7MwT60jjZGIY11BaG7Vjc9IeYSmI5uAAeA6JWU3EutKYmEtl1zilVXvp+u+vwMsl2DK6hd3juxkoDrD5oT/S3tdAxVTBNfSMtdNbmIKLQ8EpkSSB63nRzLXqwUk7k/SwfvXZRKapfR0isenmEvtfE9ZGY3esjZKijsFrTRLrSOO1pwiLAcFgifHlfbgtSeLdGYqrB7GlAK81SXJ+K1gIRsqEYz6FJ/bAc0O7Y4hPzxIWqyRPbya9sINYd+awFXKhH1DZPobbmMBtTWLLAYU9oySbG/BeIGEajI1FiVBrsUGA9X38LVtwm5pw0mncXA4nmyXM53EyGSVrREREREREROQlqfo+v/jy9Wx+fAXtvTO5/H0f4qGf/oDFV76J3gUL+dZf/wWNbe285X/8LzY/8QeMMaQasqz87Z08s2LZ/pnXsWSKC655O4uvugYv/sKbxI+HoFph6e230tozndMWv2JC1iBSj5TUkrpjreWeLffwvae/x5MDT5KNZZnWOI1Ve1cddJxrHf6l/7P0tszAlkOclEesK0NlV57y+mHWO7u4P76KK6+4iqktpzGwejtP/nEpu6p7KdjnJ08abJKmME2bbaTdZgltyICTp9RcYt4rF5ILsqSLCdJtjTQsOnjmhg0s1g9wUkc3o+lEqA6WsEEYVfrEHKoDRSo78vjbxiitH8aWoqoTHEO8pwEbWCo7889LehScIp71sA5UGyyJUgyvfHDCYzRVYHv3IJuSO/hp+ZcMxIcJbYhrXLLxLJlYZv8gzv5CPwvaF5CNZSkGRUrVEuWgzOLcubzD/0+0xJoxrgHPwbgOXluSMF+hWvAZGxuhuLSfxGitrZhr9ldhldYP4W8ahYRh6FKP3LlTmdowFcc4VPrGKRbGWWaexAkN2dEkOwo7yOd8QkLO6TgHgJGdA8z6UXSC8GDnE6yxG+motNBb7uacwunkk0WwhnjVZaBpjOHOEoPOCDODHuZ2nEHDK7txGxMEoz7VgQLBYJn49Cyxrgw2tFHlWN7HzcYxKS+qRisFhOUAJ+ZgA4vbFMe4x2eYdHWwhPEMJu4SjPkEIz5ecyJqUSkiIiIiIiIiMklYa1lx58+5//vfwYvFCapVrA3pPv1Mdq5bzZs/+ilmnXv+QY8JqlWW33EbQcXHSySZf/FlNDS3TNArEJHDUVJL6toTe57gltW3sGlkE9fMvoYrZ17JmD9GOShzx8Y7uPnpm3ld7+tYMn0J1loc49CT7eHMzFweveVuHt+2kUEnT5tpJB8WCUzIFJrxLJRjPslMhuZsC7MXnkHv7BnYLUXc5iTxKQ1s2biBsdIoZ52z+IgDI082NrQEoz5h3sfrSOPUKsrCcpXyplG81iRO0qPi+4RJ+O3TdzP075tJhnGGvFGGvFECQvpje2luaeMh+xhlr0JDrIGLui/ikxd9kmV9y1jet5yR8gjjlXHylTwpL0UukWNl/0oMhqSXJOkmcYyjzk11AAAMGUlEQVTDsr5lVMIK2XiWadlp9DT08MzIM4yWR8HAYHGQqq3iWMPc8DSqTpW/8v+cOSM9xPZCJRZwQ9st/K7pUfYV1WViGWbnZmOtZcPwBgrVwhH/br60+cNMrXbSUE3hWZcwDrTEyJzZTstrZx3VvC0REREREREREZlYxbFRbvzge8h1dvHmj36Kp37/G5b+/FbSTTne/42bcNQlRuSkpKSWnNS+89R3+PrKr1O11YNu72noYe/IHt67+824QZI9QYEKAb+fci+DiUHO7TiX777+u7gapnjU9hb3AjBQHGDL6BbG/DHmtc7jzNYzj8nzDxQH+PWmX7N5dDPbxraxbWwbHekOeht7CW1Ie6qdrkwXKS/FF5Z/gaZ4E1vHtgKQrWYITMBlc15Ld0M3s5tnk/fzrBtax7qhdXjGY0bTDF7b+1qaEk0UKgXaUm0k3AQWy8r+lWRiGdpT7bSl2mhNtmICsEEYtZGcZElNEREREREREZFTwfDuPjJNuf3zsPZu3wZYWnumT+zCROQlU1JLTnr9hX7GK+O4xiWwAb/b8juW9i1lybQlZONZntrzFGsG1uBalw8s/gDFapGFHQtpSap8+GRVqpZIuAn6xvvYnt9O33gfXZkuzu86/8gPFhEREREREREREZGTkpJaIiIiIiIiIiIiIiIiUvcOl9RyJmIxIiIiIiIiIiIiIiIiIi+GkloiIiIiIiIiIiIiIiJS95TUEhERERERERERERERkbqnpJaIiIiIiIiIiIiIiIjUPSW1REREREREREREREREpO4pqSUiIiIiIiIiIiIiIiJ1T0ktERERERERERERERERqXtKaomIiIiIiIiIiIiIiEjdU1JLRERERERERERERERE6p6SWiIiIiIiIiIiIiIiIlL3lNQSERERERERERERERGRuqekloiIiIiIiIiIiIiIiNQ9JbVERERERERERERERESk7impJSIiIiIiIiIiIiIiInVPSS0RERERERERERERERGpe0pqiYiIiIiIiIiIiIiISN1TUktERERERERERERERETqnpJaIiIiIiIiIiIiIiIiUveU1BIREREREREREREREZG6p6SWiIiIiIiIiIiIiIiI1D1jrZ3oNTyPMWYPsGWi1yEvWRswMNGLEBE5ThTjRGQyU4wTkclK8U1EJjPFOBGZjHqtte3PvbEuk1pycjPGPGatPW+i1yEicjwoxonIZKYYJyKTleKbiExminEicipR+0ERERERERERERERERGpe0pqiYiIiIiIiIiIiIiISN1TUkuOhxsnegEiIseRYpyITGaKcSIyWSm+ichkphgnIqcMzdQSERERERERERERERGRuqdKLREREREREREREREREal7SmqJiIiIiIiIyEnPGGMmeg0iIseD4puIyLOU1JIXzRhznjGmY6LXISJyvBhjLjfGLJ7odYiIHGvGmKYDfq+LIyIy2XgTvQARkeMkNtELEBGpF0pqyVEzxsw3xjwMfArITfR6RESONWPMImPM3cDtwOyJXo+IyLFijLnAGPML4NvGmPcaYxJWw3VFZJIwxlxojLkF+IwxZo4xxp3oNYmIHAvGmIuMMbcCXzLGzFN8ExFRUktenL8DbrfWvtFauw60w1dEJgdjjGuMuRH4F+BbwA+BM2v36b1SRE5qxpgFwDeAfwNuBS5FiXsRmSSMMWcB/xf4FbAbeD/wrtp9+rwqIietWpekrwN3AQNE1+XeW7tP8U1ETlm6UCdHVLvY2wJYojdTjDFvNsb0AKnan/VmKiInLWttAPwaeLW19ufAbcASY0zSWhtO7OpERF62xcAGa+33gXuAJLB13506jxORk9yFwBpr7Y+INigVgHcaY2ZYa61inIicxM4B1llrbwK+DPwMeJMx5nTFNxE5lSmpJYdkjLnYGHMB7L/YWwBeA1xqjPkB8AHgc8DXaseofY2InFQOjHMA1tqfWWuLtQ8GIbAOSE/YAkVEXqLnxjfgTuDNxpjrgaeAHuAGY8xHQedxInJyOUSMWw5MM8acZq0dJzqPGwH+EhTjROTkYYy5xhjzMWPMVbWbHgfOOyC+LQceI7omp/gmIqcsJbXkIMaYrDHmZ0TzZD5gjGkGsNaWgJuIWtf8xlp7BfBx4CxjzBsmbMEiIi/S4eKcqal9MFgDXEZUzaAqBhE5KbzAeVw/0U5fD/iYtfZC4GbgT4wxF03UekVEXoxDxLiW2l0bgWXATcaYnwPnEbVa9YwxyYlZrYjI0TPGtNfi1z8Ag0Tx7G3W2j1EXUSuqx0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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "portfolio_5yrs_daily = portfolio_5yrs.pct_change()\n", + "portfolio_5yrs_1 = (1 + portfolio_5yrs_daily).cumprod() - 1\n", + "portfolio_5yrs_1.plot(figsize=(30,10), title='Cumulative Returns of Each Stock in our Portfolio');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Predict the Direction of the Portfolio compared to the S&P500 Using Monte Carlo Simulation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Monte Carlo Simulation of the Portfolio" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "# Load .env enviroment variables\n", + "from dotenv import load_dotenv\n", + "load_dotenv()\n", + "\n", + "# Set Alpaca API key and secret\n", + "alpaca_api_key = os.getenv(\"ALPACA_API_KEY\")\n", + "alpaca_secret_key = os.getenv(\"ALPACA_SECRET_KEY\")\n", + "\n", + "api = tradeapi.REST(\n", + " alpaca_api_key,\n", + " alpaca_secret_key,\n", + " api_version = \"v2\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "# Set timeframe to '1D'\n", + "timeframe = \"1D\"\n", + "\n", + "# Set start and end datetimes between now and 3 years ago.\n", + "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n", + "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n", + "\n", + "# Set the ticker information\n", + "tickers = ['SPY','AMT','ORCL','PPG','COST','MSFT','UNH','TROW','BLK','NVDA','FB','BABA','CRM','PFE','NFLX','SQ']\n", + "\n", + "# Get 5 years of past data of portfolios\n", + "df_ticker = api.get_barset(\n", + " tickers,\n", + " timeframe,\n", + " start=start_date,\n", + " end=end_date\n", + ").df\n", + "\n", + "df_ticker.index = df_ticker.index.date\n", + "df_ticker.head()\n", + "df_ticker.to_csv('df_ticker.csv') " + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n", + "MC_fiveyear = MCSimulation(\n", + " portfolio_data = df_ticker,\n", + " weights = [0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.04,0.40,0.04,0.04,0.04],\n", + " num_simulation = 500,\n", + " num_trading_days = 252*5\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " AMT BABA \\\n", + " open high low close volume daily_return open \n", + "2015-11-19 99.87 100.26 99.22 99.62 1223026.0 NaN 78.06 \n", + "2015-11-20 100.20 100.87 99.53 100.47 1023837.0 0.008532 78.44 \n", + "2015-11-23 100.49 100.67 99.45 99.93 755145.0 -0.005375 80.45 \n", + "2015-11-24 99.28 99.45 98.32 99.27 1054663.0 -0.006605 80.85 \n", + "2015-11-25 99.15 99.60 98.90 99.07 622603.0 -0.002015 80.91 \n", + "\n", + " ... TROW \\\n", + " high low close ... low close volume daily_return \n", + "2015-11-19 79.150 77.403 77.910 ... 76.0100 76.38 521700 NaN \n", + "2015-11-20 80.785 78.400 79.965 ... 75.9100 76.38 671459 0.000000 \n", + "2015-11-23 82.190 79.970 81.310 ... 76.0200 76.15 425575 -0.003011 \n", + "2015-11-24 81.110 79.270 80.790 ... 74.9701 75.63 593463 -0.006829 \n", + "2015-11-25 82.675 80.820 81.630 ... 75.3400 76.01 631376 0.005024 \n", + "\n", + " UNH \n", + " open high low close volume daily_return \n", + "2015-11-19 109.74 113.71 109.61 110.61 13240076.0 NaN \n", + "2015-11-20 111.01 114.44 110.60 113.00 5609101.0 0.021607 \n", + "2015-11-23 112.97 114.49 112.10 112.15 3006888.0 -0.007522 \n", + "2015-11-24 111.70 113.45 111.06 113.23 2363542.0 0.009630 \n", + "2015-11-25 113.47 115.05 113.00 114.42 2408146.0 0.010510 \n", + "\n", + "[5 rows x 96 columns]" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Printing the simulation input data\n", + "MC_fiveyear.portfolio_data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running Monte Carlo simulation number 0.\n", + "Running Monte Carlo simulation number 10.\n", + "Running Monte Carlo simulation number 20.\n", + "Running Monte Carlo simulation number 30.\n", + "Running Monte Carlo simulation number 40.\n", + "Running Monte Carlo simulation number 50.\n", + "Running Monte Carlo simulation number 60.\n", + "Running Monte Carlo simulation number 70.\n", + "Running Monte Carlo simulation number 80.\n", + "Running Monte Carlo simulation number 90.\n", + "Running Monte Carlo simulation number 100.\n", + "Running Monte Carlo simulation number 110.\n", + "Running Monte Carlo simulation number 120.\n", + "Running Monte Carlo simulation number 130.\n", + "Running Monte Carlo simulation number 140.\n", + "Running Monte Carlo simulation number 150.\n", + "Running Monte Carlo simulation number 160.\n", + "Running Monte Carlo simulation number 170.\n", + "Running Monte Carlo simulation number 180.\n", + "Running Monte Carlo simulation number 190.\n", + "Running Monte Carlo simulation number 200.\n", + "Running Monte Carlo simulation number 210.\n", + "Running Monte Carlo simulation number 220.\n", + "Running Monte Carlo simulation number 230.\n", + "Running Monte Carlo simulation number 240.\n", + "Running Monte Carlo simulation number 250.\n", + "Running Monte Carlo simulation number 260.\n", + "Running Monte Carlo simulation number 270.\n", + "Running Monte Carlo simulation number 280.\n", + "Running Monte Carlo simulation number 290.\n", + "Running Monte Carlo simulation number 300.\n", + "Running Monte Carlo simulation number 310.\n", + "Running Monte Carlo simulation number 320.\n", + "Running Monte Carlo simulation number 330.\n", + "Running Monte Carlo simulation number 340.\n", + "Running Monte Carlo simulation number 350.\n", + "Running Monte Carlo simulation number 360.\n", + "Running Monte Carlo simulation number 370.\n", + "Running Monte Carlo simulation number 380.\n", + "Running Monte Carlo simulation number 390.\n", + "Running Monte Carlo simulation number 400.\n", + "Running Monte Carlo simulation number 410.\n", + "Running Monte Carlo simulation number 420.\n", + "Running Monte Carlo simulation number 430.\n", + "Running Monte Carlo simulation number 440.\n", + "Running Monte Carlo simulation number 450.\n", + "Running Monte Carlo simulation number 460.\n", + "Running Monte Carlo simulation number 470.\n", + "Running Monte Carlo simulation number 480.\n", + "Running Monte Carlo simulation number 490.\n" + ] + }, + { + "data": { + "text/html": [ + "
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1.009362 1.006961 \n", + "... ... ... ... ... ... ... ... \n", + "1256 1.826912 2.237883 2.767765 3.514696 2.809148 2.941521 2.422336 \n", + "1257 1.819020 2.245103 2.786420 3.526299 2.812569 2.947462 2.421209 \n", + "1258 1.791609 2.261302 2.782278 3.539779 2.814054 2.964892 2.422563 \n", + "1259 1.801300 2.280655 2.779005 3.584346 2.814123 2.979713 2.419751 \n", + "1260 1.813642 2.286542 2.786899 3.544287 2.820473 3.005625 2.424375 \n", + "\n", + "[1261 rows x 500 columns]" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Running a Monte Carlo simulation to forecast five years cumulative returns\n", + "MC_fiveyear.calc_cumulative_return()" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot simulation outcomes\n", + "line_plot = MC_fiveyear.plot_simulation()\n", + "\n", + "# Save the plot for future usage\n", + "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_simulation2.png\", bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot probability distribution and confidence intervals\n", + "dist_plot = MC_fiveyear.plot_distribution()\n", + "\n", + "# Save the plot for future usage\n", + "dist_plot.get_figure().savefig('MonteCarlo_5yrs_distribution2.png',bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "count 500.000000\n", + "mean 2.895847\n", + "std 0.589691\n", + "min 1.559500\n", + "25% 2.454324\n", + "50% 2.821701\n", + "75% 3.213398\n", + "max 5.025064\n", + "95% CI Lower 1.962128\n", + "95% CI Upper 4.251050\n", + "Name: 1260, dtype: float64\n" + ] + } + ], + "source": [ + "# Fetch summary statistics from the Monte Carlo simulation results\n", + "summary = MC_fiveyear.summarize_cumulative_return()\n", + "\n", + "# Print summary statistics\n", + "print(summary)" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $19621.28 and $42510.5\n" + ] + } + ], + "source": [ + "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n", + "ci_lower = round(summary[8]*10000,2)\n", + "ci_upper = round(summary[9]*10000,2)\n", + "\n", + "# Print results\n", + "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n", + " f\" over the next 5 years will end within in the range of\"\n", + " f\" ${ci_lower} and ${ci_upper}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## MC Simulation for SP500" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "# Set timeframe to '1D'\n", + "timeframe = \"1D\"\n", + "\n", + "# Set start and end datetimes between now and 3 years ago.\n", + "start_date = pd.Timestamp(\"2015-11-19\", tz=\"America/New_York\").isoformat()\n", + "end_date = pd.Timestamp(\"2020-10-01\", tz=\"America/New_York\").isoformat()\n", + "\n", + "# Set the ticker information\n", + "tickers_1 = ['SPY']\n", + "\n", + "# Get 5 years of past data of portfolios\n", + "df_ticker_1 = api.get_barset(\n", + " tickers_1,\n", + " timeframe,\n", + " start=start_date,\n", + " end=end_date\n", + ").df" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "# Configuring a Monte Carlo simulation to forecast five years cumulative returns\n", + "MC_fiveyear_SP500 = MCSimulation(\n", + " portfolio_data = df_ticker_1,\n", + " weights = [1],\n", + " num_simulation = 500,\n", + " num_trading_days = 252*5\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running Monte Carlo simulation number 0.\n", + "Running Monte Carlo simulation number 10.\n", + "Running Monte Carlo simulation number 20.\n", + "Running Monte Carlo simulation number 30.\n", + "Running Monte Carlo simulation number 40.\n", + "Running Monte Carlo simulation number 50.\n", + "Running Monte Carlo simulation number 60.\n", + "Running Monte Carlo simulation number 70.\n", + "Running Monte Carlo simulation number 80.\n", + "Running Monte Carlo simulation number 90.\n", + "Running Monte Carlo simulation number 100.\n", + "Running Monte Carlo simulation number 110.\n", + "Running Monte Carlo simulation number 120.\n", + "Running Monte Carlo simulation number 130.\n", + "Running Monte Carlo simulation number 140.\n", + "Running Monte Carlo simulation number 150.\n", + "Running Monte Carlo simulation number 160.\n", + 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "line_plot = MC_fiveyear_SP500.plot_simulation()\n", + "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_simulation.png\", bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "dist_plot = MC_fiveyear_SP500.plot_distribution()\n", + "line_plot.get_figure().savefig(\"MonteCarlo_5yrs_SPY_dist.png\", bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "count 500.000000\n", + "mean 2.895847\n", + "std 0.589691\n", + "min 1.559500\n", + "25% 2.454324\n", + "50% 2.821701\n", + "75% 3.213398\n", + "max 5.025064\n", + "95% CI Lower 1.962128\n", + "95% CI Upper 4.251050\n", + "Name: 1260, dtype: float64\n" + ] + } + ], + "source": [ + "# Fetch summary statistics from the Monte Carlo simulation results\n", + "summary = MC_fiveyear.summarize_cumulative_return()\n", + "\n", + "# Print summary statistics\n", + "print(summary)" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There is a 95% chance that an initial investment of $10,000 in the portfolio over the next 5 years will end within in the range of $19621.28 and $42510.5\n" + ] + } + ], + "source": [ + "# Use the lower and upper `95%` confidence intervals to calculate the range of the possible outcomes of our $10,000 investments in Coca-Cola and Microsoft stocks\n", + "ci_lower = round(summary[8]*10000,2)\n", + "ci_upper = round(summary[9]*10000,2)\n", + "\n", + "# Print results\n", + "print(f\"There is a 95% chance that an initial investment of $10,000 in the portfolio\"\n", + " f\" over the next 5 years will end within in the range of\"\n", + " f\" ${ci_lower} and ${ci_upper}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Final_project_notebook/MCForecastTools.py b/Final_project_notebook/MCForecastTools.py new file mode 100644 index 0000000..c11bb2c --- /dev/null +++ b/Final_project_notebook/MCForecastTools.py @@ -0,0 +1,172 @@ +# Import libraries and dependencies +import numpy as np +import pandas as pd +import os +import alpaca_trade_api as tradeapi +import datetime as dt +import pytz + +class MCSimulation: + """ + A Python class for runnning Monte Carlo simulation on portfolio price data. + + ... + + Attributes + ---------- + portfolio_data : pandas.DataFrame + portfolio dataframe + weights: list(float) + portfolio investment breakdown + nSim: int + number of samples in simulation + nTrading: int + number of trading days to simulate + simulated_return : pandas.DataFrame + Simulated data from Monte Carlo + confidence_interval : pandas.Series + the 95% confidence intervals for simulated final cumulative returns + + """ + + def __init__(self, portfolio_data, weights="", num_simulation=1000, num_trading_days=252): + """ + Constructs all the necessary attributes for the MCSimulation object. + + Parameters + ---------- + portfolio_data: pandas.DataFrame + DataFrame containing stock price information from Alpaca API + weights: list(float) + A list fractions representing percentage of total investment per stock. DEFAULT: Equal distribution + num_simulation: int + Number of simulation samples. DEFAULT: 1000 simulation samples + num_trading_days: int + Number of trading days to simulate. DEFAULT: 252 days (1 year of business days) + """ + + # Check to make sure that all attributes are set + if not isinstance(portfolio_data, pd.DataFrame): + raise TypeError("portfolio_data must be a Pandas DataFrame") + + # Set weights if empty, otherwise make sure sum of weights equals one. + if weights == "": + num_stocks = len(portfolio_data.columns.get_level_values(0).unique()) + weights = [1.0/num_stocks for s in range(0,num_stocks)] + else: + if round(sum(weights),2) < .99: + raise AttributeError("Sum of portfolio weights must equal one.") + + # Calculate daily return if not within dataframe + if not "daily_return" in portfolio_data.columns.get_level_values(1).unique(): + close_df = portfolio_data.xs('close',level=1,axis=1).pct_change() + tickers = portfolio_data.columns.get_level_values(0).unique() + column_names = [(x,"daily_return") for x in tickers] + close_df.columns = pd.MultiIndex.from_tuples(column_names) + portfolio_data = portfolio_data.merge(close_df,left_index=True,right_index=True).reindex(columns=tickers,level=0) + + # Set class attributes + self.portfolio_data = portfolio_data + self.weights = weights + self.nSim = num_simulation + self.nTrading = num_trading_days + self.simulated_return = "" + + def calc_cumulative_return(self): + """ + Calculates the cumulative return of a stock over time using a Monte Carlo simulation (Brownian motion with drift). + + """ + + # Get closing prices of each stock + last_prices = self.portfolio_data.xs('close',level=1,axis=1)[-1:].values.tolist()[0] + + # Calculate the mean and standard deviation of daily returns for each stock + daily_returns = self.portfolio_data.xs('daily_return',level=1,axis=1) + mean_returns = daily_returns.mean().tolist() + std_returns = daily_returns.std().tolist() + + # Initialize empty Dataframe to hold simulated prices + portfolio_cumulative_returns = pd.DataFrame() + + # Run the simulation of projecting stock prices 'nSim' number of times + for n in range(self.nSim): + + if n % 10 == 0: + print(f"Running Monte Carlo simulation number {n}.") + + # Create a list of lists to contain the simulated values for each stock + simvals = [[p] for p in last_prices] + + # For each stock in our data: + for s in range(len(last_prices)): + + # Simulate the returns for each trading day + for i in range(self.nTrading): + + # Calculate the simulated price using the last price within the list + simvals[s].append(simvals[s][-1] * (1 + np.random.normal(mean_returns[s], std_returns[s]))) + + # Calculate the daily returns of simulated prices + sim_df = pd.DataFrame(simvals).T.pct_change() + + # Use the `dot` function with the weights to multiply weights with each column's simulated daily returns + sim_df = sim_df.dot(self.weights) + + # Calculate the normalized, cumulative return series + portfolio_cumulative_returns[n] = (1 + sim_df.fillna(0)).cumprod() + + # Set attribute to use in plotting + self.simulated_return = portfolio_cumulative_returns + + # Calculate 95% confidence intervals for final cumulative returns + self.confidence_interval = portfolio_cumulative_returns.iloc[-1, :].quantile(q=[0.025, 0.975]) + + return portfolio_cumulative_returns + + def plot_simulation(self): + """ + Visualizes the simulated stock trajectories using calc_cumulative_return method. + + """ + + # Check to make sure that simulation has run previously. + if not isinstance(self.simulated_return,pd.DataFrame): + self.calc_cumulative_return() + + # Use Pandas plot function to plot the return data + plot_title = f"{self.nSim} Simulations of Cumulative Portfolio Return Trajectories Over the Next {self.nTrading} Trading Days." + return self.simulated_return.plot(legend=None,title=plot_title) + + def plot_distribution(self): + """ + Visualizes the distribution of cumulative returns simulated using calc_cumulative_return method. + + """ + + # Check to make sure that simulation has run previously. + if not isinstance(self.simulated_return,pd.DataFrame): + self.calc_cumulative_return() + + # Use the `plot` function to create a probability distribution histogram of simulated ending prices + # with markings for a 95% confidence interval + plot_title = f"Distribution of Final Cumuluative Returns Across All {self.nSim} Simulations" + plt = self.simulated_return.iloc[-1, :].plot(kind='hist', bins=10,density=True,title=plot_title) + plt.axvline(self.confidence_interval.iloc[0], color='r') + plt.axvline(self.confidence_interval.iloc[1], color='r') + return plt + + def summarize_cumulative_return(self): + """ + Calculate final summary statistics for Monte Carlo simulated stock data. + + """ + + # Check to make sure that simulation has run previously. + if not isinstance(self.simulated_return,pd.DataFrame): + self.calc_cumulative_return() + + metrics = self.simulated_return.iloc[-1].describe() + ci_series = self.confidence_interval + ci_series.index = ["95% CI Lower","95% CI Upper"] + return metrics.append(ci_series) \ No newline at end of file diff --git a/Final_project_notebook/MonteCarlo_5yrs_SPY_dist.png b/Final_project_notebook/MonteCarlo_5yrs_SPY_dist.png new file mode 100644 index 0000000..c6439c5 Binary files /dev/null and b/Final_project_notebook/MonteCarlo_5yrs_SPY_dist.png differ diff --git a/Final_project_notebook/MonteCarlo_5yrs_SPY_simulation.png b/Final_project_notebook/MonteCarlo_5yrs_SPY_simulation.png new file mode 100644 index 0000000..c6439c5 Binary files /dev/null and b/Final_project_notebook/MonteCarlo_5yrs_SPY_simulation.png differ diff --git a/Final_project_notebook/MonteCarlo_5yrs_distribution2.png b/Final_project_notebook/MonteCarlo_5yrs_distribution2.png new file mode 100644 index 0000000..2fcbe8c Binary files /dev/null and b/Final_project_notebook/MonteCarlo_5yrs_distribution2.png differ diff --git a/Final_project_notebook/MonteCarlo_5yrs_simulation2.png b/Final_project_notebook/MonteCarlo_5yrs_simulation2.png new file mode 100644 index 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following conditions are met:\n", + " * \n", + " * Redistributions of source code must retain the above copyright notice,\n", + " * this list of conditions and the following disclaimer.\n", + " * \n", + " * Redistributions in binary form must reproduce the above copyright notice,\n", + " * this list of conditions and the following disclaimer in the documentation\n", + " * and/or other materials provided with the distribution.\n", + " * \n", + " * Neither the name of Anaconda nor the names of any contributors\n", + " * may be used to endorse or promote products derived from this software\n", + " * without specific prior written permission.\n", + " * \n", + " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", + " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", + " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", + " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", + " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", + " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", + " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", + " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", + " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", + " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", + " * THE POSSIBILITY OF SUCH DAMAGE.\n", + " */\n", + " (function(root, factory) {\n", + " const bokeh = factory();\n", + " if (root.Bokeh === undefined) {\n", + " root.Bokeh = bokeh;\n", + " }\n", + " const Bokeh = root.Bokeh;\n", + " Bokeh[bokeh.version] = bokeh;\n", + " })(this, function() {\n", + " var define;\n", + " var parent_require = typeof require === \"function\" && require\n", + " return (function(modules, entry, aliases, externals) {\n", + " if (aliases === undefined) aliases = {};\n", + " if (externals === undefined) externals = {};\n", + "\n", + " var cache = {};\n", + "\n", + " var normalize = function(name) {\n", + " if (typeof name === \"number\")\n", + " return name;\n", + "\n", + " if (name === \"bokehjs\")\n", + " return entry;\n", + "\n", + " var prefix = \"@bokehjs/\"\n", + " if (name.slice(0, prefix.length) === prefix)\n", + " name = name.slice(prefix.length)\n", + "\n", + " var alias = aliases[name]\n", + " if (alias != null)\n", + " return alias;\n", + "\n", + " var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n", + " var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n", + " if (index != null)\n", + " return index;\n", + "\n", + " return name;\n", + " }\n", + "\n", + " var require = function(name) {\n", + " var mod = cache[name];\n", + " if (!mod) {\n", + " var id = normalize(name);\n", + "\n", + " mod = cache[id];\n", + " if (!mod) {\n", + " if (!modules[id]) {\n", + " if (externals[id] === false || (externals[id] == true && parent_require)) {\n", + " try {\n", + " mod = {exports: externals[id] ? parent_require(id) : {}};\n", + " cache[id] = cache[name] = mod;\n", + " return mod.exports;\n", + " } catch (e) {}\n", + " }\n", + "\n", + " var err = new Error(\"Cannot find module '\" + name + \"'\");\n", + " err.code = 'MODULE_NOT_FOUND';\n", + " throw err;\n", + " }\n", + "\n", + " mod = {exports: {}};\n", + " cache[id] = cache[name] = mod;\n", + " modules[id].call(mod.exports, require, mod, mod.exports);\n", + " } else\n", + " cache[name] = mod;\n", + " }\n", + "\n", + " return mod.exports;\n", + " }\n", + "\n", + " var main = require(entry);\n", + " main.require = require;\n", + "\n", + " if (typeof Proxy !== \"undefined\") {\n", + " // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n", + " main.loader = new Proxy({}, {\n", + " get: function(_obj, module) {\n", + " return require(module);\n", + " }\n", + " });\n", + " }\n", + "\n", + " main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n", + " if (plugin_aliases === undefined) plugin_aliases = {};\n", + " if (plugin_externals === undefined) plugin_externals = {};\n", + "\n", + " for (var name in plugin_modules) {\n", + " modules[name] = plugin_modules[name];\n", + " }\n", + "\n", + " for (var name in plugin_aliases) {\n", + " aliases[name] = plugin_aliases[name];\n", + " }\n", + "\n", + " for (var name in plugin_externals) {\n", + " externals[name] = plugin_externals[name];\n", + " }\n", + "\n", + " var plugin = require(plugin_entry);\n", + "\n", + " for (var name in plugin) {\n", + " main[name] = plugin[name];\n", + " }\n", + "\n", + " return plugin;\n", + " }\n", + "\n", + " return main;\n", + " })\n", + " ([\n", + " function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n", + " function _(t,e,n){\n", + " /*! *****************************************************************************\n", + " Copyright (c) Microsoft Corporation. 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_(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(6),_),o.__exportStar(e(105),_)},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),n=e(7),r=e(3),i=e(72),_=e(291),a=e(13),l=e(14),c=e(16),h=e(27),d=e(9),f=o.__importStar(e(104)),u=e(25),m=e(8),g=e(245),p=e(76),w=e(71),v=e(105);class b{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new v.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=b,b.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class y{constructor(){s.documents.push(this),this._init_timestamp=Date.now(),this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new b(this),this.idle=new l.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter(e=>e instanceof g.LayoutDOM)}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(i.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new 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t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new v.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return 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e=!t.has(r),_=e?s.get(r):t.get(r),a=y._resolve_refs(i,t,s,o);_.setv(a,{silent:!0}),n.set(r,{instance:_,is_new:e})}const r=[],i=new Set;function _(e){if(e instanceof a.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e in o)_(o[e]);s&&(t.finalize(),r.push(t))}}else if(m.isArray(e))for(const t of e)_(t);else if(m.isPlainObject(e))for(const t in e)_(e[t])}for(const e of n.values())_(e.instance);for(const e of r)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return a.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),_=d.difference(n,r),a=d.difference(r,n),l=d.intersection(n,r),c=[];for(const e of _)i.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of a){const r=t.attributes[n];c.push(y._event_for_attribute_change(e,n,r,s,o))}for(const n of l){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(y._event_for_attribute_change(e,n,i,s,o)):u.isEqual(r,i)||c.push(y._event_for_attribute_change(e,n,i,s,o)))}return c.filter(e=>null!=e)}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const _=o(s),a=new Map,l=[];for(const e of s.roots.root_ids)a.set(e,_.get(e)),l.push(e);if(i.sort(),l.sort(),d.difference(i,l).length>0||d.difference(l,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=y._events_to_sync_objects(n.get(e),_.get(e),t,c);h=h.concat(s)}return{references:y._references_json(c,!1),events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=this._all_models.values();return{version:r.version,title:this._title,roots:{root_ids:t,references:y._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return y.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${r.version}) / Python (${t})`;s||r.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const n=e.roots,_=n.root_ids,a=n.references,l=y._instantiate_references_json(a,new Map);y._initialize_references_json(a,new Map,l,new Map);const c=new y;for(const e of _){const t=l.get(e);null!=t&&c.add_root(t)}return c.set_title(e.title),c}replace_with_json(e){y.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t=new Set,s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:y._references_json(t)}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,r=y._instantiate_references_json(o,this._all_models);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)r.set(t,s);else if(!r.has(t))throw i.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const _=new Map,a=new Map;for(const[e,t]of r)this._all_models.has(e)?_.set(e,t):a.set(e,t);y._initialize_references_json(o,_,a,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=y._resolve_refs(o,_,a,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const r=e.attr,i=y._resolve_refs(e.new,_,a,t);n.setv({[r]:i},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const r=y._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new 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u,s,_,n,d,i,p,P,o,y,M,z,c,A,x,f=a.x,h=a.y,I=a.z?a.z:0;if(u=Math.sqrt(f*f+h*h),s=Math.sqrt(f*f+h*h+I*I),u/r<1e-12){if(A=0,s/r<1e-12)return e.HALF_PI,x=-m,{x:a.x,y:a.y,z:a.z}}else A=Math.atan2(h,f);_=I/s,P=(n=u/s)*(1-t)*(d=1/Math.sqrt(1-t*(2-t)*n*n)),o=_*d,c=0;do{c++,i=t*(p=r/Math.sqrt(1-t*o*o))/(p+(x=u*P+I*o-p*(1-t*o*o))),z=(M=_*(d=1/Math.sqrt(1-i*(2-i)*n*n)))*P-(y=n*(1-i)*d)*o,P=y,o=M}while(z*z>1e-24&&c<30);return{x:A,y:Math.atan(M/Math.abs(y)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===e.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===e.PJD_7PARAM){var m=r[0],u=r[1],s=r[2],_=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-_*a.z)+u,z:i*(-n*a.x+_*a.y+a.z)+s}}},r.geocentricFromWgs84=function(a,t,r){if(t===e.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===e.PJD_7PARAM){var m=r[0],u=r[1],s=r[2],_=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-u)/i,o=(a.z-s)/i;return{x:p+d*P-n*o,y:-d*p+P+_*o,z:n*p-_*P+o}}}},\n", + " function 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numbers\")}Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e){t(e.x),t(e.y)}},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(66),s=r.__importStar(e(70)),_=r.__importStar(e(18)),l=e(71);class o extends n.DOMView{initialize(){super.initialize(),this.visuals=new s.Visuals(this.model),this._has_finished=!0}get plot_view(){return this.parent}get plot_model(){return this.parent.model}get layer(){const{canvas_view:e}=this.plot_view;return\"overlay\"==this.model.level?e.overlays:e.primary}request_render(){this.plot_view.request_render()}map_to_screen(e,t){return this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name)}get needs_clip(){return!1}notify_finished(){this.plot_view.notify_finished()}get has_webgl(){return!1}}i.RendererView=o,o.__name__=\"RendererView\";class a extends l.Model{constructor(e){super(e)}static 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doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return 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this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n", + " function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].levelthis.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;nnew n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n", + " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n", + " function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.lengthnew _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n", + " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n", + " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in : ${i}ms`),c.logger.trace(` - mask_data finished in : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n", + " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);rthis,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;ethis,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n", + " function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,tthis.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];ithis._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],x=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=x;const l=i[e];i[e]=i[h],i[h]=l}function _(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let d=t^s,x=e|65535^(d|i);return d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),(x<<1|d)>>>0}i.default=n},\n", + " function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n", + " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return tthis.x1&&(t=this.x1),ithis.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;hthis.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;hi.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;aa.get(t).value));r.set(t,{value:u/i,mapping:a}),p+=i+e+l}return[r,(a.size-1)*e+g]}function u(t,e,n,s,i=0){var r;const a=new Map,p=new Map;for(const[e,n,s]of t){const t=null!==(r=p.get(e))&&void 0!==r?r:[];p.set(e,[...t,[n,s]])}let g=i,c=0;for(const[t,i]of p){const r=i.length,[p,u]=l(i,n,s,g);c+=u;const h=o.sum(i.map(([t])=>p.get(t).value));a.set(t,{value:h/r,mapping:p}),g+=r+e+u}return[a,(p.size-1)*e+c]}n.map_one_level=c,n.map_two_levels=l,n.map_three_levels=u;class h extends i.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n", + " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n", + " function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n", + " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;ethis),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n", + " function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;ethis),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n", + " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;ithis.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n", + " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n", + " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n", + " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;es.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n", + " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n", + " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n", + " function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;tnew o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n", + " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&tthis.stop&&ithis.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;ei.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;tr||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;tr||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n", + " function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n", + " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n", + " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n", + " function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n", + " function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;tu?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n", + " function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n", + " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;rt)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n", + " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n", + " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n", + " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n", + " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n", + " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;rt.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.xthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>sthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n", + " function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;ethis.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n", + " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;lnew o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n", + " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n", + " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n", + " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n", + " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;sthis.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n", + " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n", + " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return ethis._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n", + " function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n", + " function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n", + " function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n /* Same border color used everywhere */\\n /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n font-weight: 300;\\n font-size: 12px;\\n position: absolute;\\n padding: 5px;\\n border: 1px solid #e5e5e5;\\n color: #2f2f2f;\\n background-color: white;\\n pointer-events: none;\\n opacity: 0.95;\\n z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n /* gives space when multiple elements are being hovered over */\\n margin-top: 5px;\\n border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n position: absolute;\\n margin: -7px 0 0 0;\\n top: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 7px 0 7px 0;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n left: -10px;\\n border-right-width: 10px;\\n border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n left: -10px;\\n border-right-width: 10px;\\n border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n position: absolute;\\n margin: -7px 0 0 0;\\n top: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 7px 0 7px 0;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n right: -10px;\\n border-left-width: 10px;\\n border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n right: -10px;\\n border-left-width: 10px;\\n border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n position: absolute;\\n margin: 0 0 0 -7px;\\n left: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 0 7px 0 7px;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n top: -10px;\\n border-bottom-width: 10px;\\n border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n position: absolute;\\n margin: 0 0 0 -7px;\\n left: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 0 7px 0 7px;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n bottom: -10px;\\n border-top-width: 10px;\\n border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n text-align: right;\\n color: #26aae1;\\n /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n color: default;\\n /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n width: 12px;\\n height: 12px;\\n margin-left: 5px;\\n margin-right: 5px;\\n outline: #dddddd solid 1px;\\n display: inline-block;\\n}\\n'},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;tnew a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n", + " function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;tc&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;ih(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;ic||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n", + " function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n", + " function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;ti&&ht[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n", + " function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&tnew r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n", + " function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n", + " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n", + " function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o=T-g;--c)for(o=0,a=s.length;o=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var o,a,u=this.entry.offset+this.entry.save,i=Math.abs(u/1e3),l=[],s=3600;for(o=0;o<3;o++)l.push((\"0\"+Math.floor(i/s)).slice(-2)),i%=s,s/=60;return\"^\"!=n||u?(\"^\"==n&&(r=3),3==r?(a=(a=l.join(\":\")).replace(/:00$/,\"\"),\"^\"!=n&&(a=a.replace(/:00$/,\"\"))):r?(a=l.slice(0,r+1).join(\":\"),\"^\"==n&&(a=a.replace(/:00$/,\"\"))):a=l.slice(0,2).join(\"\"),a=(a=(u<0?\"-\":\"+\")+a).replace(/([-+])(0)/,{_:\" $1\",\"-\":\"$1\"}[n]||\"$1$2\")):\"Z\"},\"%\":function(e){return\"%\"},n:function(e){return\"\\n\"},t:function(e){return\"\\t\"},U:function(e){return s(e,0)},W:function(e){return s(e,1)},V:function(e){return c(e)[0]},G:function(e){return c(e)[1]},g:function(e){return c(e)[1]%100},j:function(e){return Math.floor((e.getTime()-Date.UTC(e.getUTCFullYear(),0))/864e5)+1},s:function(e){return Math.floor(e.getTime()/1e3)},C:function(e){return Math.floor(e.getUTCFullYear()/100)},N:function(e){return e.getTime()%1e3*1e6},m:function(e){return e.getUTCMonth()+1},Y:function(e){return e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t=o?Math.floor((n-o)/7)+1:0}function c(e){var t,n,r;return n=e.getUTCFullYear(),t=new Date(Date.UTC(n,0)).getUTCDay(),(r=s(e,1)+(t>1&&t<=4?1:0))?53!=r||4==t||3==t&&29==new Date(n,1,29).getDate()?[r,e.getUTCFullYear()]:[1,e.getUTCFullYear()+1]:(n=e.getUTCFullYear()-1,[r=4==(t=new Date(Date.UTC(n,0)).getUTCDay())||3==t&&29==new Date(n,1,29).getDate()?53:52,e.getUTCFullYear()-1])}return u=u.toLowerCase().split(\"|\"),\"delmHMSUWVgCIky\".replace(/./g,(function(e){a[e].pad=2})),a.N.pad=9,a.j.pad=3,a.k.style=\"_\",a.l.style=\"_\",a.e.style=\"_\",function(){return a.convert(arguments)}}))},\n", + " function _(r,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=r(1),i=t.__importStar(r(161)),u=r(162),a=t.__importDefault(r(159)),f=r(24),o=r(8);function l(r,...n){return u.sprintf(r,...n)}function s(r,n,e){if(o.isNumber(r)){return l((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return\"\"+r}function c(r,n,t){if(null==n)return s;if(null!=t&&r in t){const n=t[r];if(o.isString(n)){if(n in e.DEFAULT_FORMATTERS)return e.DEFAULT_FORMATTERS[n];throw new Error(`Unknown tooltip field formatter type '${n}'`)}return function(r,e,t){return n.format(r,e,t)}}return e.DEFAULT_FORMATTERS.numeral}function m(r,n,e,t){if(\"$\"==r[0]){return function(r,n){if(r in n)return n[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),t)}return function(r,n,e){const t=n.get_column(r);if(null==t)return null;if(o.isNumber(e))return t[e];const i=t[e.index];if(o.isTypedArray(i)||o.isArray(i)){if(o.isArray(i[0])){return i[e.dim2][e.dim1]}return i[e.flat_index]}return i}(r.substring(1).replace(/[{}]/g,\"\"),n,e)}e.DEFAULT_FORMATTERS={numeral:(r,n,e)=>i.format(r,n),datetime:(r,n,e)=>a.default(r,n),printf:(r,n,e)=>l(n,r)},e.sprintf=l,e.basic_formatter=s,e.get_formatter=c,e.get_value=m,e.replace_placeholders=function(r,n,e,t,i={}){return r=(r=r.replace(/@\\$name/g,r=>`@{${i.name}}`)).replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,(r,u,a)=>{const o=m(u,n,e,i);if(null==o)return\"\"+f.escape(\"???\");if(\"safe\"==a)return\"\"+o;const l=c(u,a,t);return\"\"+f.escape(l(o,a,i))})}},\n", + " function _(e,n,t){\n", + " /*!\n", + " * numbro.js\n", + " * version : 1.6.2\n", + " * author : Företagsplatsen AB\n", + " * license : MIT\n", + " * http://www.foretagsplatsen.se\n", + " */\n", + " var r,i={},a=i,o=\"en-US\",l=null,u=\"0,0\";void 0!==n&&n.exports;function c(e){this._value=e}function s(e){var n,t=\"\";for(n=0;n-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+s(i-r.length),n>0&&(a+=\".\"+s(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function d(e,n,t){return n.indexOf(\"$\")>-1?function(e,n,t){var r,a,l=n,u=l.indexOf(\"$\"),c=l.indexOf(\"(\"),s=l.indexOf(\"+\"),f=l.indexOf(\"-\"),d=\"\",p=\"\";-1===l.indexOf(\"$\")?\"infix\"===i[o].currency.position?(p=i[o].currency.symbol,i[o].currency.spaceSeparated&&(p=\" \"+p+\" \")):i[o].currency.spaceSeparated&&(d=\" \"):l.indexOf(\" $\")>-1?(d=\" \",l=l.replace(\" $\",\"\")):l.indexOf(\"$ \")>-1?(d=\" \",l=l.replace(\"$ 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r}(e,n,t):n.indexOf(\":\")>-1?function(e){var n=Math.floor(e/60/60),t=Math.floor((e-60*n*60)/60),r=Math.round(e-60*n*60-60*t);return n+\":\"+(t<10?\"0\"+t:t)+\":\"+(r<10?\"0\"+r:r)}(e):h(e,n,t)}function h(e,n,t,r){var a,u,c,s,d,h,p,m,x,g,O,b,w,y,M,v,$,B=!1,E=!1,F=!1,k=\"\",U=!1,N=!1,S=!1,j=!1,D=!1,C=\"\",L=\"\",T=Math.abs(e),K=[\"B\",\"KiB\",\"MiB\",\"GiB\",\"TiB\",\"PiB\",\"EiB\",\"ZiB\",\"YiB\"],G=[\"B\",\"KB\",\"MB\",\"GB\",\"TB\",\"PB\",\"EB\",\"ZB\",\"YB\"],I=\"\",P=!1,R=!1;if(0===e&&null!==l)return l;if(!isFinite(e))return\"\"+e;if(0===n.indexOf(\"{\")){var W=n.indexOf(\"}\");if(-1===W)throw Error('Format should also contain a \"}\"');b=n.slice(1,W),n=n.slice(W+1)}else b=\"\";if(n.indexOf(\"}\")===n.length-1){var Y=n.indexOf(\"{\");if(-1===Y)throw Error('Format should also contain a \"{\"');w=n.slice(Y+1,-1),n=n.slice(0,Y+1)}else w=\"\";if(v=null===($=-1===n.indexOf(\".\")?n.match(/([0-9]+).*/):n.match(/([0-9]+)\\..*/))?-1:$[1].length,-1!==n.indexOf(\"-\")&&(P=!0),n.indexOf(\"(\")>-1?(B=!0,n=n.slice(1,-1)):n.indexOf(\"+\")>-1&&(E=!0,n=n.replace(/\\+/g,\"\")),n.indexOf(\"a\")>-1){if(g=n.split(\".\")[0].match(/[0-9]+/g)||[\"0\"],g=parseInt(g[0],10),U=n.indexOf(\"aK\")>=0,N=n.indexOf(\"aM\")>=0,S=n.indexOf(\"aB\")>=0,j=n.indexOf(\"aT\")>=0,D=U||N||S||j,n.indexOf(\" a\")>-1?(k=\" \",n=n.replace(\" 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x.indexOf(\"-\")>-1&&(x=x.slice(1),R=!0),x.length-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+i[o].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n", + " function _(e,n,t){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var 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\",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n", + " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(110),s=e(164),r=e(165),c=e(168),_=e(169),m=e(167);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n", + " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(111),n=r.__importStar(t(18)),_=t(9);class a extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let c;if(_.is_empty(a.filter(t=>!isNaN(t))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n", + " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(166),a=t(167),o=i.__importStar(t(18)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const 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min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n", + " function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n", + " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n", + " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n", + " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n", + " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n", + " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(110),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n", + " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(150),s=e(157),o=e(174),a=e(175);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n", + " function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(113),i=o.__importStar(r(18)),c=r(32);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n{const n=i.replace_placeholders(this.url,t,e);this.same_tab?window.location.href=n:window.open(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=r,r.__name__=\"OpenURL\",r.init_OpenURL()},\n", + " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var n=a(181);r.Canvas=n.Canvas;var s=a(184);r.CartesianFrame=s.CartesianFrame},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(13),n=e(66),l=e(72),o=s.__importStar(e(18)),r=e(68),h=e(17),c=e(88),d=e(182),_=e(183),v=(()=>{const e=document.createElement(\"canvas\"),t=e.getContext(\"webgl\",{premultipliedAlpha:!0});return null!=t?{canvas:e,gl:t}:void l.logger.trace(\"WebGL is not supported\")})(),p={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class g{constructor(e,t){switch(this.backend=e,this.hidpi=t,this.pixel_ratio=1,this.bbox=new c.BBox,e){case\"webgl\":case\"canvas\":{this._el=this._canvas=r.canvas({style:p});const e=this.canvas.getContext(\"2d\");if(null==e)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=e,t&&(this.pixel_ratio=devicePixelRatio);break}case\"svg\":{const e=new _.SVGRenderingContext2D;this._ctx=e,this._canvas=e.getSvg(),this._el=r.div({style:p},this._canvas);break}}d.fixup_ctx(this._ctx)}get canvas(){return this._canvas}get ctx(){return this._ctx}get el(){return this._el}resize(e,t){this.bbox=new c.BBox({left:0,top:0,width:e,height:t});const i=this._ctx instanceof _.SVGRenderingContext2D?this._ctx:this.canvas;i.width=e*this.pixel_ratio,i.height=t*this.pixel_ratio}prepare(){const{ctx:e,hidpi:t,pixel_ratio:i}=this;e.save(),t&&(e.scale(i,i),e.translate(.5,.5)),this.clear()}clear(){const{x:e,y:t,width:i,height:s}=this.bbox;this.ctx.clearRect(e,t,i,s)}finish(){this.ctx.restore()}save(e){const{_canvas:t}=this;if(t instanceof HTMLCanvasElement)if(null!=t.msToBlob){const i=t.msToBlob();window.navigator.msSaveBlob(i,e)}else{const i=document.createElement(\"a\");i.href=t.toDataURL(\"image/png\"),i.download=e+\".png\",i.target=\"_blank\",i.dispatchEvent(new MouseEvent(\"click\"))}else{const t=this._ctx.getSerializedSvg(!0),i=new Blob([t],{type:\"text/plain\"}),s=document.createElement(\"a\");s.download=e+\".svg\",s.innerHTML=\"Download svg\",s.href=window.URL.createObjectURL(i),s.onclick=e=>document.body.removeChild(e.target),s.style.display=\"none\",document.body.appendChild(s),s.click()}}}i.CanvasLayer=g,g.__name__=\"CanvasLayer\";class b extends n.DOMView{initialize(){super.initialize();const{output_backend:e,hidpi:t}=this.model;\"webgl\"==e&&(this.webgl=v),this.underlays_el=r.div({style:p}),this.primary=new g(e,t),this.overlays=new g(e,t),this.overlays_el=r.div({style:p}),this.events_el=r.div({class:\"bk-canvas-events\",style:p});const i=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];h.extend(this.el.style,p),r.append(this.el,...i),l.logger.debug(\"CanvasView initialized\")}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new c.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const{gl:a}=t;a.enable(a.SCISSOR_TEST);const[n,l,o,r]=e,{xview:h,yview:c}=this.bbox,d=h.compute(n),_=c.compute(l+r),v=this.pixel_ratio;a.scissor(v*d,v*_,v*o,v*r),a.enable(a.BLEND),a.blendFuncSeparate(a.SRC_ALPHA,a.ONE_MINUS_SRC_ALPHA,a.ONE_MINUS_DST_ALPHA,a.ONE)}}clear_webgl(){const{webgl:e}=this;if(null!=e){const{gl:t,canvas:i}=e;t.viewport(0,0,i.width,i.height),t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT||t.DEPTH_BUFFER_BIT)}}blit_webgl(e){const{webgl:t}=this;if(null!=t&&(l.logger.debug(\"drawing with WebGL\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi)){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}}save(e){const{output_backend:t}=this.model,{width:i,height:s}=this.bbox,a=new g(t,!1);a.resize(i,s),a.ctx.drawImage(this.primary.canvas,0,0),a.ctx.drawImage(this.overlays.canvas,0,0),a.save(e)}}i.CanvasView=b,b.__name__=\"CanvasView\";class w extends a.HasProps{constructor(e){super(e)}static init_Canvas(){this.prototype.default_view=b,this.internal({hidpi:[o.Boolean,!0],output_backend:[o.OutputBackend,\"canvas\"]})}}i.Canvas=w,w.__name__=\"Canvas\",w.init_Canvas()},\n", + " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.fixup_ctx=function(e){!function(e){e.setLineDash||(e.setLineDash=t=>{e.mozDash=t,e.webkitLineDash=t}),e.getLineDash||(e.getLineDash=()=>e.mozDash)}(e),function(e){e.setLineDashOffset=t=>{e.lineDashOffset=t,e.mozDashOffset=t,e.webkitLineDashOffset=t},e.getLineDashOffset=()=>e.mozDashOffset}(e),function(e){e.setImageSmoothingEnabled=t=>{e.imageSmoothingEnabled=t,e.mozImageSmoothingEnabled=t,e.oImageSmoothingEnabled=t,e.webkitImageSmoothingEnabled=t,e.msImageSmoothingEnabled=t},e.getImageSmoothingEnabled=()=>{const t=e.imageSmoothingEnabled;return null==t||t}}(e),function(e){e.measureText&&null==e.html5MeasureText&&(e.html5MeasureText=e.measureText,e.measureText=t=>{const n=e.html5MeasureText(t);return n.ascent=1.6*e.html5MeasureText(\"m\").width,n})}(e),function(e){e.ellipse||(e.ellipse=function(t,n,a,o,s,i,m,h=!1){const l=.551784;e.translate(t,n),e.rotate(s);let u=a,r=o;h&&(u=-a,r=-o),e.moveTo(-u,0),e.bezierCurveTo(-u,r*l,-u*l,r,0,r),e.bezierCurveTo(u*l,r,u,r*l,u,0),e.bezierCurveTo(u,-r*l,u*l,-r,0,-r),e.bezierCurveTo(-u*l,-r,-u,-r*l,-u,0),e.rotate(-s),e.translate(-t,-n)})}(e)}},\n", + " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(8);function r(t){return[...t.childNodes]}function n(t){if(!t)throw new Error(\"cannot create a random attribute name for an undefined object\");const e=\"ABCDEFGHIJKLMNOPQRSTUVWXTZabcdefghiklmnopqrstuvwxyz\";let s=\"\";do{s=\"\";for(let t=0;t<12;t++)s+=e[Math.floor(Math.random()*e.length)]}while(t[s]);return s}function a(t){const 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_(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n", + " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n", + " function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n", + " function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n", + " function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n", + " function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n", + " function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n", + " function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n", + " function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n", + " function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n", + " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n", + " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n", + " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n", + " function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n", + " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n", + " function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n", + " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n", + " function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(161)),a=r(114),i=e.__importStar(r(18));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n", + " function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(114),o=t(160),a=e.__importStar(t(18));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n", + " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n", + " function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n", + " function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n", + " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n", + " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;sthis._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;tthis.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;eNaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n", + " function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n", + " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t1)for(let i=1,n=this._xs[t][s].length;ie-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e1){let o=!1;for(let i=1;i0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;is-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;nthis._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n", + " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;tthis.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;it[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;ethis.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n", + " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n", + " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n", + " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n", + " function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n", + " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n", + " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n", + " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n", + " function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n", + " function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n", + " function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n", + " function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n height: 100%;\\n display: inline-block;\\n text-align: center;\\n vertical-align: middle;\\n white-space: nowrap;\\n cursor: pointer;\\n padding: 6px 12px;\\n font-size: 12px;\\n border: 1px solid transparent;\\n border-radius: 4px;\\n outline: 0;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n background-image: none;\\n box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n cursor: not-allowed;\\n pointer-events: none;\\n opacity: 0.65;\\n box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n color: #333;\\n background-color: #fff;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n background-color: #f5f5f5;\\n border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n background-color: #ebebeb;\\n border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n background-color: #e6e6e6;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n color: #fff;\\n background-color: #428bca;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n background-color: #3681c1;\\n border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n background-color: #3276b1;\\n border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n background-color: #506f89;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n color: #fff;\\n background-color: #5cb85c;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n background-color: #4eb24e;\\n border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n background-color: #47a447;\\n border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n background-color: #667b66;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n color: #fff;\\n background-color: #f0ad4e;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n background-color: #eea43b;\\n border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n background-color: #ed9c28;\\n border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n background-color: #c89143;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n color: #fff;\\n background-color: #d9534f;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n background-color: #d5433e;\\n border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n background-color: #d2322d;\\n border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n background-color: #a55350;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n height: 100%;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n border-bottom-right-radius: 0;\\n border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n border-bottom-left-radius: 0;\\n border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n flex: 0 0 0;\\n -webkit-flex: 0 0 0;\\n padding: 6px 6px;\\n}\\n\"},\n", + " function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n width: 28px;\\n height: 28px;\\n background-size: 60%;\\n background-color: transparent;\\n background-repeat: no-repeat;\\n background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n position: absolute;\\n display: inline-flex;\\n display: -webkit-inline-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n width: auto;\\n height: auto;\\n z-index: 100;\\n cursor: pointer;\\n font-size: 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n cursor: default;\\n overflow: hidden;\\n background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n width: 1px;\\n margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n height: 1px;\\n margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n border-top-left-radius: 4px;\\n border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n border-top-right-radius: 4px;\\n border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n border-top-left-radius: 4px;\\n border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n border-bottom-left-radius: 4px;\\n border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n position: absolute;\\n left: 0;\\n width: 100%;\\n z-index: 100;\\n cursor: pointer;\\n font-size: 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n height: 1px;\\n margin: 7.5px 0;\\n overflow: hidden;\\n background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n display: inline-block;\\n vertical-align: middle;\\n width: 0;\\n height: 0;\\n margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n border-right: 4px solid transparent;\\n border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n border-top: 4px solid transparent;\\n border-bottom: 4px solid transparent;\\n}\\n\"},\n", + " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n overflow: hidden;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n height: auto;\\n margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n flex-grow: 0;\\n -webkit-flex-grow: 0;\\n height: auto;\\n padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n overflow: hidden;\\n color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n position: relative;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n padding: 4px 8px;\\n border: solid transparent;\\n white-space: nowrap;\\n cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n color: #4d4d4d;\\n background-color: white;\\n border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n border-width: 3px 1px 0px 1px;\\n border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n border-width: 1px 3px 1px 0px;\\n border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n border-width: 0px 1px 3px 1px;\\n border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n border-width: 1px 0px 1px 3px;\\n border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n display: inline-block;\\n width: 10px;\\n height: 10px;\\n vertical-align: middle;\\n background-image: url(\\'data:image/svg+xml;utf8, \\');\\n}\\n.bk-root .bk-close:hover {\\n background-image: url(\\'data:image/svg+xml;utf8, \\');\\n}\\n'},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n", + " function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n", + " function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n", + " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;tu(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n", + " function 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See https://developers.google.com/maps/documentation/javascript/get-api-key for more information on how to obtain your own.\")}}i.GMapPlot=u,u.__name__=\"GMapPlot\",u.init_GMapPlot()},\n", + " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),o=i.__importStar(e(23)),n=i.__importStar(e(18)),s=e(14),a=e(9),l=e(17),_=e(8),h=e(245),c=e(142),u=e(120),d=e(273),b=e(76),g=e(81),p=e(186),m=e(290);r.PlotView=m.PlotView;class f extends h.LayoutDOM{constructor(e){super(e)}static init_Plot(){this.prototype.default_view=m.PlotView,this.mixins([[\"outline_\",o.Line],[\"background_\",o.Fill],[\"border_\",o.Fill]]),this.define({toolbar:[n.Instance,()=>new d.Toolbar],toolbar_location:[n.Location,\"right\"],toolbar_sticky:[n.Boolean,!0],plot_width:[n.Number,600],plot_height:[n.Number,600],frame_width:[n.Number,null],frame_height:[n.Number,null],title:[n.Any,()=>new c.Title({text:\"\"})],title_location:[n.Location,\"above\"],above:[n.Array,[]],below:[n.Array,[]],left:[n.Array,[]],right:[n.Array,[]],center:[n.Array,[]],renderers:[n.Array,[]],x_range:[n.Instance,()=>new p.DataRange1d],extra_x_ranges:[n.Any,{}],y_range:[n.Instance,()=>new p.DataRange1d],extra_y_ranges:[n.Any,{}],x_scale:[n.Instance,()=>new u.LinearScale],y_scale:[n.Instance,()=>new u.LinearScale],lod_factor:[n.Number,10],lod_interval:[n.Number,300],lod_threshold:[n.Number,2e3],lod_timeout:[n.Number,500],hidpi:[n.Boolean,!0],output_backend:[n.OutputBackend,\"canvas\"],min_border:[n.Number,5],min_border_top:[n.Number,null],min_border_left:[n.Number,null],min_border_bottom:[n.Number,null],min_border_right:[n.Number,null],inner_width:[n.Number],inner_height:[n.Number],outer_width:[n.Number],outer_height:[n.Number],match_aspect:[n.Boolean,!1],aspect_scale:[n.Number,1],reset_policy:[n.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}get width(){const e=this.properties.width.get_value();return null!=e?e:this.plot_width}set width(e){this.setv({width:e,plot_width:e})}get height(){const e=this.properties.height.get_value();return null!=e?e:this.plot_height}set height(e){this.setv({height:e,plot_height:e})}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new s.Signal0(this,\"reset\");for(const e of l.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of l.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{a.remove_by(t,t=>t==e)};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new b.ColumnDataSource,r={}){const i=Object.assign(Object.assign({},r),{data_source:t,glyph:e}),o=new g.GlyphRenderer(i);return this.add_renderers(o),o}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:i}=this;return a.concat([e,t,r,i])}}r.Plot=f,f.__name__=\"Plot\",f.init_Plot()},\n", + " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),c=t(8),o=t(9),n=t(274),a=t(283),l=t=>{switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null},r=t=>\"tap\"==t||\"pan\"==t;class _ extends a.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:c,active_multi:o}=this.properties;this.on_change([t,s,e,i,c,o],()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,()=>this._active_change(t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n", + " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(275),i=e(282),_=n.__importStar(e(18));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=i.OnOffButtonView,this.define({toggleable:[_.Boolean,!0]}),this.override({active:!0})}}o.InspectTool=l,l.__name__=\"InspectTool\",l.init_InspectTool()},\n", + " function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),s=i.__importDefault(t(276)),n=t(66),l=t(277),r=t(68),a=i.__importStar(t(18)),u=t(24),_=t(8),h=t(9),c=t(278),m=i.__importDefault(t(279)),d=i.__importDefault(t(280)),p=i.__importDefault(t(257)),f=t(281);class g extends n.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,i=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new f.ContextMenu(o?h.reversed(t):t,{orientation:i,prevent_hide:t=>t.target==this.el})}this._hammer=new s.default(this.el,{touchAction:\"auto\",inputClass:s.default.TouchMouseInput}),this.connect(this.model.change,()=>this.render()),this._hammer.on(\"tap\",t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()}),this._hammer.on(\"press\",()=>this._pressed())}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,d.default,p.default]}css_classes(){return super.css_classes().concat(c.bk_toolbar_button)}render(){r.empty(this.el);const t=this.model.computed_icon;_.isString(t)&&(u.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const{left:e,top:o,right:i,bottom:s}=this.el.getBoundingClientRect(),n=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{right:e,top:o};case\"left\":return{left:i,top:o};case\"above\":return{left:e,top:s};case\"below\":return{left:e,bottom:o}}})();null===(t=this._menu)||void 0===t||t.toggle(n)}}o.ButtonToolButtonView=g,g.__name__=\"ButtonToolButtonView\";class v extends l.ToolView{}o.ButtonToolView=v,v.__name__=\"ButtonToolView\";class b extends l.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal({disabled:[a.Boolean,!1]})}get tooltip(){return this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=b,b.__name__=\"ButtonTool\",b.init_ButtonTool()},\n", + " function _(t,e,n){\n", + " /*! Hammer.JS - v2.0.7 - 2016-04-22\n", + " * http://hammerjs.github.io/\n", + " *\n", + " * Copyright (c) 2016 Jorik Tangelder;\n", + " * Licensed under the MIT license */\n", + " !function(t,n,i,r){\"use strict\";var s,o=[\"\",\"webkit\",\"Moz\",\"MS\",\"ms\",\"o\"],a=n.createElement(\"div\"),h=Math.round,u=Math.abs,c=Date.now;function l(t,e,n){return setTimeout(y(t,n),e)}function p(t,e,n){return!!Array.isArray(t)&&(f(t,n[e],n),!0)}function f(t,e,n){var i;if(t)if(t.forEach)t.forEach(e,n);else if(void 0!==t.length)for(i=0;i\\s*\\(/gm,\"{anonymous}()@\"):\"Unknown Stack Trace\",s=t.console&&(t.console.warn||t.console.log);return s&&s.call(t.console,r,i),e.apply(this,arguments)}}s=\"function\"!=typeof Object.assign?function(t){if(null==t)throw new TypeError(\"Cannot convert undefined or null to object\");for(var e=Object(t),n=1;n-1}function S(t){return t.trim().split(/\\s+/g)}function b(t,e,n){if(t.indexOf&&!n)return t.indexOf(e);for(var i=0;in[e]})):i.sort()),i}function D(t,e){for(var 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e=K[t.type];if(1===e&&(this.started=!0),this.started){var n=tt.call(this,t,e);12&e&&n[0].length-n[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:n[0],changedPointers:n[1],pointerType:\"touch\",srcEvent:t})}}});var et={touchstart:1,touchmove:2,touchend:4,touchcancel:8};function nt(){this.evTarget=\"touchstart touchmove touchend touchcancel\",this.targetIds={},Y.apply(this,arguments)}function it(t,e){var n=x(t.touches),i=this.targetIds;if(3&e&&1===n.length)return i[n[0].identifier]=!0,[n,n];var r,s,o=x(t.changedTouches),a=[],h=this.target;if(s=n.filter((function(t){return _(t.target,h)})),1===e)for(r=0;r-1&&i.splice(t,1)}),2500)}}function at(t){for(var e=t.srcEvent.clientX,n=t.srcEvent.clientY,i=0;i-1&&this.requireFail.splice(e,1),this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(t){return!!this.simultaneous[t.id]},emit:function(t){var e=this,n=this.state;function i(n){e.manager.emit(n,t)}n<8&&i(e.options.event+ft(n)),i(e.options.event),t.additionalEvent&&i(t.additionalEvent),n>=8&&i(e.options.event+ft(n))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=32},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distancee.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return t+\" (x-axis)\";case\"height\":return t+\" (y-axis)\";case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n", + " function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n", + " function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n visibility: hidden;\\n opacity: 0;\\n transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n flex-shrink: 0;\\n -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n justify-content: flex-end;\\n -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n order: 1;\\n -webkit-order: 1;\\n margin-left: 5px;\\n margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n justify-content: flex-start;\\n -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n order: 0;\\n -webkit-order: 0;\\n margin-bottom: 5px;\\n margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n width: 30px;\\n height: 30px;\\n cursor: pointer;\\n background-size: 60%;\\n background-color: transparent;\\n background-repeat: no-repeat;\\n background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n content: \" \";\\n display: inline-block;\\n background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n height: 10px;\\n width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n height: 1px;\\n width: 10px;\\n}\\n'},\n", + " function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUGEhcuan3d3wAAAoRJREFUWMPtlzFP3EAQhd+b3TNSzg0N5TWXLkJQUUaKhIQ4fgP/g5ArrriE/I3opEgRrZtIVJR0FJQ010SioUmEZHtnUpwN9gWHGA5BJCy58MraffvmfZ41v3z9hqe8BE98vQh4cgG+Ydzmnrng8efvQJNi/uN7dznx/B3ggtfhf4ehNdUttRzBDIm/2VTiiWCG1HK0nc+3UWtq8BQIiEEakEQOADBIA4QCQmBqoHBhFNR27ikQSmGdYCdTqCpEHMDZmEKRWUBEv1gBDg5SzRJnpopILWICgWuRYflLamuzxB2BmtYqSRIka5VWU8QduXO+1hRc5YZu5GAwmP2ZJzND0IBu5HCV2+NQcAhAVRsnC2IbPzPdSjzd6to6VtfWkXi6YLaVWr7xoAwkfpb8MnC3SH7rKSMBe4M0jA/OTicFIbtCGRIyNbURhcf3ErCd6YwA1m0HgAxhw1NGQnlXBHG4kylVlSJuH0RfIP2CkL2I/qS1gIAAQiBl1QwFggIHtyxgrxK5PgyfC0JWKoT0HLh8LwoietB4TYKaIl7yeNURxB05UtMxDOcVQlZIrlRKdK6m47gjR/fuBRQihyLArtNeJD50Izcx2Eczu7iFkIug4VM3cpOr3MKDekFED0fWUHv9Zq0kpLnridjhY3XDg7NTN0jDrhO3X7O9Wg7wwyANu4mnayNg3gmbu0tCNoUyBNGv2l4rB9EXynA7082FOxAQLhU6rQVO9T2AvWowFToNCJcPORGxIRcnpjZSKATSU9NxvOQnAPArDSaQoUKnNI4iufkGtD4P3EHIcWZhz4HLceSOyrR3Izf5memPAL2cX3yhAkonysZVaWLBkd9dw1Ivv2a/AYPkK+ty1U1DAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-box-select {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg0kduFrowAAAIdJREFUWMPtVtEKwCAI9KL//4e9DPZ3+wP3KgOjNZouFYI4C8q7s7DtB1lGIeMoRMRinCLXg/ML3EcFqpjjloOyZxRntxpwQ8HsgHYARKFAtSFrCg3TCdMFCE1BuuALEXJLjC4qENsFVXCESZw38/kWLOkC/K4PcOc/Hj03WkoDT3EaWW9egQul6CUbq90JTwAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-box-zoom {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-in {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-out {\\n background-image: 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+ " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n", + " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n", + " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n", + " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n", + " function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n", + " function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n", + " function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n", + " function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n", + " function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n margin: 5px;\\n position: relative;\\n display: block;\\n background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n filter: url(\\\"data:image/svg+xml;utf8,#grayscale\\\");\\n /* Firefox 10+, Firefox on Android */\\n filter: gray;\\n /* IE6-9 */\\n -webkit-filter: grayscale(100%);\\n /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n width: 20px;\\n height: 20px;\\n background-image: url(data:image/png;base64,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);\\n}\\n.bk-root .bk-logo-notebook {\\n display: inline-block;\\n vertical-align: middle;\\n margin-right: 5px;\\n}\\n\"},\n", + " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});var s=this&&this.__rest||function(t,e){var i={};for(var s in t)Object.prototype.hasOwnProperty.call(t,s)&&e.indexOf(s)<0&&(i[s]=t[s]);if(null!=t&&\"function\"==typeof Object.getOwnPropertySymbols){var n=0;for(s=Object.getOwnPropertySymbols(t);n{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n", + " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n", + " function _(e,t,n){\n", + " /*!\n", + " * jQuery Mousewheel 3.1.13\n", + " *\n", + " * Copyright jQuery Foundation and other contributors\n", + " * Released under the MIT license\n", + " * http://jquery.org/license\n", + " */\n", + " function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n", + " function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n", + " function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n", + " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n", + " function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n", + " function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n", + " function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n", + " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n", + " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n", + " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n", + " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n", + " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;ethis.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<0;s--){const i=1<0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n", + " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n", + " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n", + " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);ti&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n", + " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n", + " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n", + " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n color: black;\\n}\\n\"},\n", + " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n", + " function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n", + " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n", + " function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n", + " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n", + " function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n", + " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n", + " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n", + " function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n", + " function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n", + " function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n", + " function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;ethis._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n", + " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n", + " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n", + " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n", + " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m_&&(d=_)):(d=t[1],b=t[1]-l/s,bnew n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n", + " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n", + " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n", + " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n", + " function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(st.end)&&(this.v_axis_only=!0),(ne.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(en.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n", + " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.startnew m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n", + " function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n", + " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return athis._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n", + " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new n.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active());for(const t of this.tools)this.connect(t.properties.active.change,()=>{this.active=t.active})}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,i]of c.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[i])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=r,r.__name__=\"ToolProxy\",r.init_ToolProxy()},\n", + " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n", + " function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n", + " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(66),d=e(99),c=e(68),l=e(359);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n", + " function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(68),r=e(246);function l(e){let o=document.getElementById(e);if(null==o)throw new Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under `);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n", + " function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(361),s=n(72),c=n(358);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=e.parse_token(o).session_id;n in r||(r[n]={});const c=r[n];return s in c||(c[s]=e.pull_session(n,o,t)),c[s]}(n,o,l)}catch(n){const t=e.parse_token(o).session_id;throw s.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return c.add_document_standalone(d.document,t,a,i)}},\n", + " function _(e,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(72),o=e(5),r=e(362),i=e(363),c=e(364);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let l=0;function _(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=_;class h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new 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{});\n", + " })\n", + "\n", + "\n", + " /* END bokeh.min.js */\n", + " },\n", + " \n", + " function(Bokeh) {\n", + " /* BEGIN bokeh-widgets.min.js */\n", + " /*!\n", + " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", + " * All rights reserved.\n", + " * \n", + " * Redistribution and use in source and binary forms, with or without modification,\n", + " * are permitted provided that the following conditions are met:\n", + " * \n", + " * Redistributions of source code must retain the above copyright notice,\n", + " * this list of conditions and the following disclaimer.\n", + " * \n", + " * Redistributions in binary form must reproduce the above copyright notice,\n", + " * this list of conditions and the following disclaimer in the documentation\n", + " * and/or other materials provided with the distribution.\n", + " * \n", + " * Neither the name of Anaconda nor the names of any contributors\n", + " * may be used to endorse or promote products derived from this software\n", + " * without specific prior written permission.\n", + " * \n", + " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", + " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", + " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", + " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", + " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", + " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", + " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", + " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", + " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", + " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", + " * THE POSSIBILITY OF SUCH DAMAGE.\n", + " */\n", + " (function(root, factory) {\n", + " factory(root[\"Bokeh\"], \"2.1.1\");\n", + " })(this, function(Bokeh, version) {\n", + " var define;\n", + " return (function(modules, entry, aliases, externals) {\n", + " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", + " if (bokeh != null) {\n", + " return bokeh.register_plugin(modules, entry, aliases);\n", + " } else {\n", + " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", + " }\n", + " })\n", + " ({\n", + " 390: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(391));o.Widgets=r,e(7).register_models(r)},\n", + " 391: function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});var a=r(392);t.AbstractButton=a.AbstractButton;var o=r(395);t.AbstractIcon=o.AbstractIcon;var u=r(396);t.AutocompleteInput=u.AutocompleteInput;var n=r(401);t.Button=n.Button;var i=r(402);t.CheckboxButtonGroup=i.CheckboxButtonGroup;var v=r(404);t.CheckboxGroup=v.CheckboxGroup;var p=r(406);t.ColorPicker=p.ColorPicker;var l=r(407);t.DatePicker=l.DatePicker;var c=r(410);t.DateRangeSlider=c.DateRangeSlider;var d=r(416);t.DateSlider=d.DateSlider;var g=r(417);t.Div=g.Div;var I=r(421);t.Dropdown=I.Dropdown;var S=r(422);t.FileInput=S.FileInput;var P=r(398);t.InputWidget=P.InputWidget;var k=r(418);t.Markup=k.Markup;var x=r(423);t.MultiSelect=x.MultiSelect;var 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s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n", + " 398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n", + " 399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n display: inline-block;\\n width: 100%;\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n min-height: 31px;\\n padding: 0 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n border-color: #66afe9;\\n outline: 0;\\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n color: #999;\\n opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n cursor: not-allowed;\\n background-color: #eee;\\n opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n height: auto;\\n appearance: none;\\n -webkit-appearance: none;\\n background-image: url(\\'data:image/svg+xml;utf8,\\');\\n background-position: right 0.5em center;\\n background-size: 8px 6px;\\n background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n height: auto;\\n}\\n.bk-root .bk-input-group {\\n width: 100%;\\n height: 100%;\\n display: inline-flex;\\n display: -webkit-inline-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: start;\\n -webkit-align-items: start;\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n position: relative;\\n top: -2px;\\n margin-left: 3px;\\n}\\n'},\n", + " 400: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n", + " 401: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(392),o=t(291);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n", + " 402: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n", + " 403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n", + " 404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;nthis.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n", + " 405: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n", + " 406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n", + " 407: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(408)),a=e(398),l=e(68),o=n.__importStar(e(18)),r=e(8),d=e(400),c=n.__importDefault(e(409));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),c.default]}render(){null==this._picker&&(super.render(),this.input_el=l.input({type:\"text\",class:d.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=s.default(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date,maxDate:this.model.max_date,inline:this.model.inline,position:this.model.position,disable:u(this.model.disabled_dates),enable:u(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=_,_.__name__=\"DatePickerView\";class h extends a.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=_,this.define({value:[o.Any],min_date:[o.Any],max_date:[o.Any],disabled_dates:[o.Any,[]],enabled_dates:[o.Any,[]],position:[o.CalendarPosition,\"auto\"],inline:[o.Boolean,!1]})}}i.DatePicker=h,h.__name__=\"DatePicker\",h.init_DatePicker()},\n", + " 408: function _(e,t,n){\n", + " /* flatpickr v4.6.3, @license MIT */var a,i;a=this,i=function(){\"use strict\";\n", + " /*! *****************************************************************************\n", + " Copyright (c) Microsoft Corporation. All rights reserved.\n", + " Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n", + " this file except in compliance with the License. You may obtain a copy of the\n", + " License at http://www.apache.org/licenses/LICENSE-2.0\n", + " \n", + " THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n", + " KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n", + " WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n", + " MERCHANTABLITY OR NON-INFRINGEMENT.\n", + " \n", + " See the Apache Version 2.0 License for specific language governing permissions\n", + " and limitations under the License.\n", + " ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var t,n=1,a=arguments.length;n\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 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Date(t)},d:function(e,t){e.setDate(parseFloat(t))},h:function(e,t){e.setHours(parseFloat(t))},i:function(e,t){e.setMinutes(parseFloat(t))},j:function(e,t){e.setDate(parseFloat(t))},l:f,m:function(e,t){e.setMonth(parseFloat(t)-1)},n:function(e,t){e.setMonth(parseFloat(t)-1)},s:function(e,t){e.setSeconds(parseFloat(t))},u:function(e,t){return new Date(parseFloat(t))},w:f,y:function(e,t){e.setFullYear(2e3+parseFloat(t))}},p={D:\"(\\\\w+)\",F:\"(\\\\w+)\",G:\"(\\\\d\\\\d|\\\\d)\",H:\"(\\\\d\\\\d|\\\\d)\",J:\"(\\\\d\\\\d|\\\\d)\\\\w+\",K:\"\",M:\"(\\\\w+)\",S:\"(\\\\d\\\\d|\\\\d)\",U:\"(.+)\",W:\"(\\\\d\\\\d|\\\\d)\",Y:\"(\\\\d{4})\",Z:\"(.+)\",d:\"(\\\\d\\\\d|\\\\d)\",h:\"(\\\\d\\\\d|\\\\d)\",i:\"(\\\\d\\\\d|\\\\d)\",j:\"(\\\\d\\\\d|\\\\d)\",l:\"(\\\\w+)\",m:\"(\\\\d\\\\d|\\\\d)\",n:\"(\\\\d\\\\d|\\\\d)\",s:\"(\\\\d\\\\d|\\\\d)\",u:\"(.+)\",w:\"(\\\\d\\\\d|\\\\d)\",y:\"(\\\\d{2})\"},h={Z:function(e){return e.toISOString()},D:function(e,t,n){return t.weekdays.shorthand[h.w(e,t,n)]},F:function(e,t,n){return m(h.n(e,t,n)-1,!1,t)},G:function(e,t,n){return i(h.h(e,t,n))},H:function(e){return i(e.getHours())},J:function(e,t){return void 0!==t.ordinal?e.getDate()+t.ordinal(e.getDate()):e.getDate()},K:function(e,t){return t.amPM[o(e.getHours()>11)]},M:function(e,t){return m(e.getMonth(),!0,t)},S:function(e){return i(e.getSeconds())},U:function(e){return e.getTime()/1e3},W:function(e,t,n){return n.getWeek(e)},Y:function(e){return e.getFullYear()},d:function(e){return i(e.getDate())},h:function(e){return e.getHours()%12?e.getHours()%12:12},i:function(e){return i(e.getMinutes())},j:function(e){return e.getDate()},l:function(e,t){return t.weekdays.longhand[e.getDay()]},m:function(e){return i(e.getMonth()+1)},n:function(e){return e.getMonth()+1},s:function(e){return e.getSeconds()},u:function(e){return e.getTime()},w:function(e){return e.getDay()},y:function(e){return String(e.getFullYear()).substring(2)}},v=function(e){var t=e.config,i=void 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0!==h.config.maxTime?h.config.maxTime:h.config.maxDate;(n=Math.min(n,l.getHours()))===l.getHours()&&(a=Math.min(a,l.getMinutes())),a===l.getMinutes()&&(i=Math.min(i,l.getSeconds()))}if(r){var c=void 0!==h.config.minTime?h.config.minTime:h.config.minDate;(n=Math.max(n,c.getHours()))===c.getHours()&&(a=Math.max(a,c.getMinutes())),a===c.getMinutes()&&(i=Math.max(i,c.getSeconds()))}I(n,a,i)}}function T(e){var t=e||h.latestSelectedDateObj;t&&I(t.getHours(),t.getMinutes(),t.getSeconds())}function k(){var e=h.config.defaultHour,t=h.config.defaultMinute,n=h.config.defaultSeconds;if(void 0!==h.config.minDate){var a=h.config.minDate.getHours(),i=h.config.minDate.getMinutes();(e=Math.max(e,a))===a&&(t=Math.max(i,t)),e===a&&t===i&&(n=h.config.minDate.getSeconds())}if(void 0!==h.config.maxDate){var o=h.config.maxDate.getHours(),r=h.config.maxDate.getMinutes();(e=Math.min(e,o))===o&&(t=Math.min(r,t)),e===o&&t===r&&(n=h.config.maxDate.getSeconds())}I(e,t,n)}function I(e,t,n){void 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K(){s(h.monthNav),h.monthNav.appendChild(h.prevMonthNav),h.config.showMonths&&(h.yearElements=[],h.monthElements=[]);for(var e=h.config.showMonths;e--;){var t=J();h.yearElements.push(t.yearElement),h.monthElements.push(t.monthElement),h.monthNav.appendChild(t.container)}h.monthNav.appendChild(h.nextMonthNav)}function U(){h.weekdayContainer?s(h.weekdayContainer):h.weekdayContainer=d(\"div\",\"flatpickr-weekdays\");for(var e=h.config.showMonths;e--;){var t=d(\"div\",\"flatpickr-weekdaycontainer\");h.weekdayContainer.appendChild(t)}return q(),h.weekdayContainer}function q(){if(h.weekdayContainer){var e=h.l10n.firstDayOfWeek,t=h.l10n.weekdays.shorthand.slice();e>0&&e\\n \"+t.join(\"\")+\"\\n \\n \"}}function $(e,t){void 0===t&&(t=!0);var n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var 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0!==h.daysContainer&&-1===e.className.indexOf(\"hidden\")&&h.daysContainer.contains(e)}function X(e){var t=e.target===h._input,n=h.config.allowInput,a=h.isOpen&&(!n||!t),i=h.config.inline&&t&&!n;if(13===e.keyCode&&t){if(n)return h.setDate(h._input.value,!0,e.target===h.altInput?h.config.altFormat:h.config.dateFormat),e.target.blur();h.open()}else if(z(e.target)||a||i){var o=!!h.timeContainer&&h.timeContainer.contains(e.target);switch(e.keyCode){case 13:o?(e.preventDefault(),x(),le()):ce(e);break;case 27:e.preventDefault(),le();break;case 8:case 46:t&&!h.config.allowInput&&(e.preventDefault(),h.clear());break;case 37:case 39:if(o||t)h.hourElement&&h.hourElement.focus();else if(e.preventDefault(),void 0!==h.daysContainer&&(!1===n||document.activeElement&&Q(document.activeElement))){var r=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),$(r),L(H(1),0)):L(void 0,r)}break;case 38:case 40:e.preventDefault();var l=40===e.keyCode?1:-1;h.daysContainer&&void 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ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;ca&&cr)?r=c:c>n&&(!l||c0&&m0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),nt&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&dn,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var 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e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete h.altInput),h.input&&(h.input.type=h.input._type,h.input.classList.remove(\"flatpickr-input\"),h.input.removeAttribute(\"readonly\"),h.input.value=\"\"),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete h[e]}catch(e){}}))},h.isEnabled=Z,h.jumpToDate=N,h.open=function(e,t){if(void 0===t&&(t=h._positionElement),!0===h.isMobile)return e&&(e.preventDefault(),e.target&&e.target.blur()),void 0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYearh.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var a=[\"wrap\",\"weekNumbers\",\"allowInput\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e({},g,JSON.parse(JSON.stringify(f.dataset||{}))),o={};h.config.parseDate=i.parseDate,h.config.formatDate=i.formatDate,Object.defineProperty(h.config,\"enable\",{get:function(){return h.config._enable},set:function(e){h.config._enable=ue(e)}}),Object.defineProperty(h.config,\"disable\",{get:function(){return h.config._disable},set:function(e){h.config._disable=ue(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var c=y.defaultConfig.dateFormat||n.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):c+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=y.defaultConfig.altFormat||n.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}i.altInputClass||(h.config.altInputClass=h.input.className+\" \"+h.config.altInputClass),Object.defineProperty(h.config,\"minDate\",{get:function(){return h.config._minDate},set:ae(\"min\")}),Object.defineProperty(h.config,\"maxDate\",{get:function(){return h.config._maxDate},set:ae(\"max\")});var s=function(e){return function(t){h.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=h.parseDate(t,\"H:i:S\")}};Object.defineProperty(h.config,\"minTime\",{get:function(){return h.config._minTime},set:s(\"min\")}),Object.defineProperty(h.config,\"maxTime\",{get:function(){return h.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(h.config.noCalendar=!0,h.config.enableTime=!0),Object.assign(h.config,o,i);for(var u=0;u-1?h.config[p]=l(m[p]).map(C).concat(h.config[p]):void 0===i[p]&&(h.config[p]=m[p])}fe(\"onParseConfig\")}(),ie(),h.input=h.config.wrap?f.querySelector(\"[data-input]\"):f,h.input?(h.input._type=h.input.type,h.input.type=\"text\",h.input.classList.add(\"flatpickr-input\"),h._input=h.input,h.config.altInput&&(h.altInput=d(h.input.nodeName,h.config.altInputClass),h._input=h.altInput,h.altInput.placeholder=h.input.placeholder,h.altInput.disabled=h.input.disabled,h.altInput.required=h.input.required,h.altInput.tabIndex=h.input.tabIndex,h.altInput.type=\"text\",h.input.setAttribute(\"type\",\"hidden\"),!h.config.static&&h.input.parentNode&&h.input.parentNode.insertBefore(h.altInput,h.input.nextSibling)),h.config.allowInput||h._input.setAttribute(\"readonly\",\"readonly\"),h._positionElement=h.config.positionElement||h._input):h.config.errorHandler(new Error(\"Invalid input element specified\")),function(){h.selectedDates=[],h.now=h.parseDate(h.config.now)||new Date;var e=h.config.defaultDate||(\"INPUT\"!==h.input.nodeName&&\"TEXTAREA\"!==h.input.nodeName||!h.input.placeholder||h.input.value!==h.input.placeholder?h.input.value:null);e&&se(e,h.config.dateFormat),h._initialDate=h.selectedDates.length>0?h.selectedDates[0]:h.config.minDate&&h.config.minDate.getTime()>h.now.getTime()?h.config.minDate:h.config.maxDate&&h.config.maxDate.getTime()0&&(h.latestSelectedDateObj=h.selectedDates[0]),void 0!==h.config.minTime&&(h.config.minTime=h.parseDate(h.config.minTime,\"H:i\")),void 0!==h.config.maxTime&&(h.config.maxTime=h.parseDate(h.config.maxTime,\"H:i\")),h.minDateHasTime=!!h.config.minDate&&(h.config.minDate.getHours()>0||h.config.minDate.getMinutes()>0||h.config.minDate.getSeconds()>0),h.maxDateHasTime=!!h.config.maxDate&&(h.config.maxDate.getHours()>0||h.config.maxDate.getMinutes()>0||h.config.maxDate.getSeconds()>0),Object.defineProperty(h,\"showTimeInput\",{get:function(){return h._showTimeInput},set:function(e){h._showTimeInput=e,h.calendarContainer&&c(h.calendarContainer,\"showTimeInput\",e),h.isOpen&&oe()}})}(),h.utils={getDaysInMonth:function(e,t){return void 0===e&&(e=h.currentMonth),void 0===t&&(t=h.currentYear),1===e&&(t%4==0&&t%100!=0||t%400==0)?29:h.l10n.daysInMonth[e]}},h.isMobile||function(){var e=window.document.createDocumentFragment();if(h.calendarContainer=d(\"div\",\"flatpickr-calendar\"),h.calendarContainer.tabIndex=-1,!h.config.noCalendar){if(e.appendChild((h.monthNav=d(\"div\",\"flatpickr-months\"),h.yearElements=[],h.monthElements=[],h.prevMonthNav=d(\"span\",\"flatpickr-prev-month\"),h.prevMonthNav.innerHTML=h.config.prevArrow,h.nextMonthNav=d(\"span\",\"flatpickr-next-month\"),h.nextMonthNav.innerHTML=h.config.nextArrow,K(),Object.defineProperty(h,\"_hidePrevMonthArrow\",{get:function(){return h.__hidePrevMonthArrow},set:function(e){h.__hidePrevMonthArrow!==e&&(c(h.prevMonthNav,\"flatpickr-disabled\",e),h.__hidePrevMonthArrow=e)}}),Object.defineProperty(h,\"_hideNextMonthArrow\",{get:function(){return h.__hideNextMonthArrow},set:function(e){h.__hideNextMonthArrow!==e&&(c(h.nextMonthNav,\"flatpickr-disabled\",e),h.__hideNextMonthArrow=e)}}),h.currentYearElement=h.yearElements[0],pe(),h.monthNav)),h.innerContainer=d(\"div\",\"flatpickr-innerContainer\"),h.config.weekNumbers){var t=function(){h.calendarContainer.classList.add(\"hasWeeks\");var e=d(\"div\",\"flatpickr-weekwrapper\");e.appendChild(d(\"span\",\"flatpickr-weekday\",h.l10n.weekAbbreviation));var t=d(\"div\",\"flatpickr-weeks\");return e.appendChild(t),{weekWrapper:e,weekNumbers:t}}(),n=t.weekWrapper,a=t.weekNumbers;h.innerContainer.appendChild(n),h.weekNumbers=a,h.weekWrapper=n}h.rContainer=d(\"div\",\"flatpickr-rContainer\"),h.rContainer.appendChild(U()),h.daysContainer||(h.daysContainer=d(\"div\",\"flatpickr-days\"),h.daysContainer.tabIndex=-1),R(),h.rContainer.appendChild(h.daysContainer),h.innerContainer.appendChild(h.rContainer),e.appendChild(h.innerContainer)}h.config.enableTime&&e.appendChild(function(){h.calendarContainer.classList.add(\"hasTime\"),h.config.noCalendar&&h.calendarContainer.classList.add(\"noCalendar\"),h.timeContainer=d(\"div\",\"flatpickr-time\"),h.timeContainer.tabIndex=-1;var e=d(\"span\",\"flatpickr-time-separator\",\":\"),t=u(\"flatpickr-hour\",{\"aria-label\":h.l10n.hourAriaLabel});h.hourElement=t.getElementsByTagName(\"input\")[0];var n=u(\"flatpickr-minute\",{\"aria-label\":h.l10n.minuteAriaLabel});if(h.minuteElement=n.getElementsByTagName(\"input\")[0],h.hourElement.tabIndex=h.minuteElement.tabIndex=-1,h.hourElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getHours():h.config.time_24hr?h.config.defaultHour:function(e){switch(e%24){case 0:case 12:return 12;default:return e%12}}(h.config.defaultHour)),h.minuteElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getMinutes():h.config.defaultMinute),h.hourElement.setAttribute(\"step\",h.config.hourIncrement.toString()),h.minuteElement.setAttribute(\"step\",h.config.minuteIncrement.toString()),h.hourElement.setAttribute(\"min\",h.config.time_24hr?\"0\":\"1\"),h.hourElement.setAttribute(\"max\",h.config.time_24hr?\"23\":\"12\"),h.minuteElement.setAttribute(\"min\",\"0\"),h.minuteElement.setAttribute(\"max\",\"59\"),h.timeContainer.appendChild(t),h.timeContainer.appendChild(e),h.timeContainer.appendChild(n),h.config.time_24hr&&h.timeContainer.classList.add(\"time24hr\"),h.config.enableSeconds){h.timeContainer.classList.add(\"hasSeconds\");var a=u(\"flatpickr-second\");h.secondElement=a.getElementsByTagName(\"input\")[0],h.secondElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getSeconds():h.config.defaultSeconds),h.secondElement.setAttribute(\"step\",h.minuteElement.getAttribute(\"step\")),h.secondElement.setAttribute(\"min\",\"0\"),h.secondElement.setAttribute(\"max\",\"59\"),h.timeContainer.appendChild(d(\"span\",\"flatpickr-time-separator\",\":\")),h.timeContainer.appendChild(a)}return h.config.time_24hr||(h.amPM=d(\"span\",\"flatpickr-am-pm\",h.l10n.amPM[o((h.latestSelectedDateObj?h.hourElement.value:h.config.defaultHour)>11)]),h.amPM.title=h.l10n.toggleTitle,h.amPM.tabIndex=-1,h.timeContainer.appendChild(h.amPM)),h.timeContainer}()),c(h.calendarContainer,\"rangeMode\",\"range\"===h.config.mode),c(h.calendarContainer,\"animate\",!0===h.config.animate),c(h.calendarContainer,\"multiMonth\",h.config.showMonths>1),h.calendarContainer.appendChild(e);var r=void 0!==h.config.appendTo&&void 0!==h.config.appendTo.nodeType;if((h.config.inline||h.config.static)&&(h.calendarContainer.classList.add(h.config.inline?\"inline\":\"static\"),h.config.inline&&(!r&&h.element.parentNode?h.element.parentNode.insertBefore(h.calendarContainer,h._input.nextSibling):void 0!==h.config.appendTo&&h.config.appendTo.appendChild(h.calendarContainer)),h.config.static)){var l=d(\"div\",\"flatpickr-wrapper\");h.element.parentNode&&h.element.parentNode.insertBefore(l,h.element),l.appendChild(h.element),h.altInput&&l.appendChild(h.altInput),l.appendChild(h.calendarContainer)}h.config.static||h.config.inline||(void 0!==h.config.appendTo?h.config.appendTo:window.document.body).appendChild(h.calendarContainer)}(),function(){if(h.config.wrap&&[\"open\",\"close\",\"toggle\",\"clear\"].forEach((function(e){Array.prototype.forEach.call(h.element.querySelectorAll(\"[data-\"+e+\"]\"),(function(t){return O(t,\"click\",h[e])}))})),h.isMobile)!function(){var e=h.config.enableTime?h.config.noCalendar?\"time\":\"datetime-local\":\"date\";h.mobileInput=d(\"input\",h.input.className+\" flatpickr-mobile\"),h.mobileInput.step=h.input.getAttribute(\"step\")||\"any\",h.mobileInput.tabIndex=1,h.mobileInput.type=e,h.mobileInput.disabled=h.input.disabled,h.mobileInput.required=h.input.required,h.mobileInput.placeholder=h.input.placeholder,h.mobileFormatStr=\"datetime-local\"===e?\"Y-m-d\\\\TH:i:S\":\"date\"===e?\"Y-m-d\":\"H:i:S\",h.selectedDates.length>0&&(h.mobileInput.defaultValue=h.mobileInput.value=h.formatDate(h.selectedDates[0],h.mobileFormatStr)),h.config.minDate&&(h.mobileInput.min=h.formatDate(h.config.minDate,\"Y-m-d\")),h.config.maxDate&&(h.mobileInput.max=h.formatDate(h.config.maxDate,\"Y-m-d\")),h.input.type=\"hidden\",void 0!==h.altInput&&(h.altInput.type=\"hidden\");try{h.input.parentNode&&h.input.parentNode.insertBefore(h.mobileInput,h.input.nextSibling)}catch(e){}O(h.mobileInput,\"change\",(function(e){h.setDate(e.target.value,!1,h.mobileFormatStr),fe(\"onChange\"),fe(\"onClose\")}))}();else{var e=r(te,50);h._debouncedChange=r(F,300),h.daysContainer&&!/iPhone|iPad|iPod/i.test(navigator.userAgent)&&O(h.daysContainer,\"mouseover\",(function(e){\"range\"===h.config.mode&&ee(e.target)})),O(window.document.body,\"keydown\",X),h.config.inline||h.config.static||O(window,\"resize\",e),void 0!==window.ontouchstart?O(window.document,\"touchstart\",G):O(window.document,\"mousedown\",_(G)),O(window.document,\"focus\",G,{capture:!0}),!0===h.config.clickOpens&&(O(h._input,\"focus\",h.open),O(h._input,\"mousedown\",_(h.open))),void 0!==h.daysContainer&&(O(h.monthNav,\"mousedown\",_(De)),O(h.monthNav,[\"keyup\",\"increment\"],S),O(h.daysContainer,\"mousedown\",_(ce))),void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&(O(h.timeContainer,[\"increment\"],x),O(h.timeContainer,\"blur\",x,{capture:!0}),O(h.timeContainer,\"mousedown\",_(P)),O([h.hourElement,h.minuteElement],[\"focus\",\"click\"],(function(e){return e.target.select()})),void 0!==h.secondElement&&O(h.secondElement,\"focus\",(function(){return h.secondElement&&h.secondElement.select()})),void 0!==h.amPM&&O(h.amPM,\"mousedown\",_((function(e){x(e),F()}))))}}(),(h.selectedDates.length||h.config.noCalendar)&&(h.config.enableTime&&T(h.config.noCalendar?h.latestSelectedDateObj||h.config.minDate:void 0),ve(!1)),M(),h.showTimeInput=h.selectedDates.length>0||h.config.noCalendar;var a=/^((?!chrome|android).)*safari/i.test(navigator.userAgent);!h.isMobile&&a&&oe(),fe(\"onReady\")}(),h}function M(e,t){for(var n=Array.prototype.slice.call(e).filter((function(e){return e instanceof HTMLElement})),a=[],i=0;ithis.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. 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r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n", + " 412: function _(t,e,r){\n", + " /*! nouislider - 14.5.0 - 5/11/2020 */\n", + " var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function 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n=M(e,r.cssClasses.connects);f=[],(d=[]).push(L(n,t[0]));for(var i=0;i=0&&t .noUi-tooltip {\\n -webkit-transform: translate(50%, 0);\\n transform: translate(50%, 0);\\n left: auto;\\n bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n -webkit-transform: translate(0, -18px);\\n transform: translate(0, -18px);\\n top: auto;\\n right: 28px;\\n}\\n.bk-root .noUi-handle {\\n cursor: grab;\\n cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n cursor: grabbing;\\n cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n display: none;\\n}\\n.bk-root .noUi-tooltip {\\n display: none;\\n white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n display: block;\\n}\\n.bk-root .noUi-horizontal {\\n width: 100%;\\n height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n width: 10px;\\n height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n width: 14px;\\n height: 18px;\\n right: -7px;\\n top: -5px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n width: 18px;\\n height: 14px;\\n right: -5px;\\n top: -7px;\\n}\\n.bk-root .noUi-target.noUi-horizontal {\\n margin: 5px 0px;\\n}\\n.bk-root .noUi-target.noUi-vertical {\\n margin: 0px 5px;\\n}\\n\"},\n", + " 415: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root .bk-slider-title {\\n white-space: nowrap;\\n}\\n.bk-root .bk-slider-value {\\n font-weight: 600;\\n}\\n\"},\n", + " 416: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1).__importDefault(e(159)),a=e(411);class d extends a.AbstractSliderView{}i.DateSliderView=d,d.__name__=\"DateSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=d,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return r.default(e,t)}}i.DateSlider=s,s.__name__=\"DateSlider\",s.init_DateSlider()},\n", + " 417: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),_=e(418),n=r.__importStar(e(18));class s extends _.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=s,s.__name__=\"DivView\";class a extends _.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=s,this.define({render_as_text:[n.Boolean,!1]})}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n", + " 418: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(193),n=e(68),l=i.__importStar(e(18)),r=e(458),_=e(419),c=i.__importDefault(e(420));class u extends r.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()})}styles(){return[...super.styles(),c.default]}_update_layout(){this.layout=new a.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=n.div({class:_.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)}}s.MarkupView=u,u.__name__=\"MarkupView\";class o extends r.Widget{constructor(e){super(e)}static init_Markup(){this.define({text:[l.String,\"\"],style:[l.Any,{}]})}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n", + " 419: function _(e,c,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.bk_clearfix=\"bk-clearfix\"},\n", + " 420: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n content: \"\";\\n display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n clear: both;\\n}\\n'},\n", + " 421: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,_.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new o.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=l.isString(t)?t:t[1];l.isString(i)?this.model.trigger_event(new o.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends s.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.define({split:[d.Boolean,!1],menu:[d.Array,[]]}),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n", + " 422: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1).__importStar(e(18)),s=e(458);class n extends s.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.width.change,()=>this.render())}render(){null==this.dialogEl&&(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=this.model.multiple,this.dialogEl.onchange=()=>{const{files:e}=this.dialogEl;null!=e&&this.load_files(e)},this.el.appendChild(this.dialogEl)),null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.disabled=this.model.disabled}async load_files(e){const t=[],i=[],l=[];let s;for(s=0;s{const l=new FileReader;l.onload=()=>{var s;const{result:n}=l;null!=n?t(n):i(null!==(s=l.error)&&void 0!==s?s:new Error(`unable to read 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c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of 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init_Paragraph(){this.prototype.default_view=s}}r.Paragraph=i,i.__name__=\"Paragraph\",i.init_Paragraph()},\n", + " 425: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(397);class r extends n.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}s.PasswordInputView=r,r.__name__=\"PasswordInputView\";class p extends n.TextInput{constructor(e){super(e)}static init_PasswordInput(){this.prototype.default_view=r}}s.PasswordInput=p,p.__name__=\"PasswordInput\",p.init_PasswordInput()},\n", + " 426: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=s.__importDefault(e(427)),o=e(68),n=e(8),h=s.__importStar(e(18)),r=e(400),c=s.__importDefault(e(428)),d=e(398);class a extends d.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.disabled.change,()=>this.set_disabled()),this.connect(this.model.properties.max_items.change,()=>this.render()),this.connect(this.model.properties.option_limit.change,()=>this.render()),this.connect(this.model.properties.delete_button.change,()=>this.render()),this.connect(this.model.properties.placeholder.change,()=>this.render()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render())}styles(){return[...super.styles(),c.default]}render(){super.render();const e=this.model.options.map(e=>{let t,i;return 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Apache Software License 2.0\n", + " *\n", + " * http://www.apache.org/licenses/LICENSE-2.0\n", + " */\n", + " e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return 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E=r.split(this.options.tokenSeparator),I=[],S=0;S-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N-1&&(o.arrayIndex=r.arrayIndex),t.matches.push(o)}}})),this.options.includeScore&&s.push((function(e,t){t.score=e.score}));for(var r=0,o=e.length;ri)return s(e,this.pattern,n);var o=this.options,a=o.location,c=o.distance,l=o.threshold,h=o.findAllMatches,u=o.minMatchCharLength;return r(e,this.pattern,this.patternAlphabet,{location:a,distance:c,threshold:l,findAllMatches:h,minMatchCharLength:u})}}])&&n(t.prototype,i),e}();e.exports=a},function(e,t){var i=/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g;e.exports=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:/ +/g,s=new RegExp(t.replace(i,\"\\\\$&\").replace(n,\"|\")),r=e.match(s),o=!!r,a=[];if(o)for(var c=0,l=r.length;c=P;N-=1){var F=N-1,j=i[e.charAt(F)];if(j&&(E[F]=1),M[N]=(M[N+1]<<1|1)&j,0!==T&&(M[N]|=(O[N+1]|O[N])<<1|1|O[N+1]),M[N]&L&&(C=n(t,{errors:T,currentLocation:F,expectedLocation:v,distance:l}))<=_){if(_=C,(b=F)<=v)break;P=Math.max(1,2*v-b)}}if(n(t,{errors:T+1,currentLocation:v,expectedLocation:v,distance:l})>_)break;O=M}return{isMatch:b>=0,score:0===C?.001:C,matchedIndices:s(E,f)}}},function(e,t){e.exports=function(e,t){var i=t.errors,n=void 0===i?0:i,s=t.currentLocation,r=void 0===s?0:s,o=t.expectedLocation,a=void 0===o?0:o,c=t.distance,l=void 0===c?100:c,h=n/e.length,u=Math.abs(a-r);return l?h+u/l:u?1:h}},function(e,t){e.exports=function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,i=[],n=-1,s=-1,r=0,o=e.length;r=t&&i.push([n,s]),n=-1)}return e[r-1]&&r-n>=t&&i.push([n,r-1]),i}},function(e,t){e.exports=function(e){for(var t={},i=e.length,n=0;n/g,\"&rt;\").replace(/-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!0),i})):e;case\"REMOVE_ITEM\":return t.choiceId>-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!1),i})):e;case\"FILTER_CHOICES\":return e.map((function(e){var i=e;return i.active=t.results.some((function(e){var t=e.item,n=e.score;return t.id===i.id&&(i.score=n,!0)})),i}));case\"ACTIVATE_CHOICES\":return e.map((function(e){var i=e;return i.active=t.active,i}));case\"CLEAR_CHOICES\":return v;default:return e}},general:_}),A=function(e,t){var i=e;if(\"CLEAR_ALL\"===t.type)i=void 0;else if(\"RESET_TO\"===t.type)return O(t.state);return C(i,t)};function L(e,t){for(var i=0;i\"'+I(e)+'\"'},maxItemText:function(e){return\"Only \"+e+\" values can be added\"},valueComparer:function(e,t){return e===t},fuseOptions:{includeScore:!0},callbackOnInit:null,callbackOnCreateTemplates:null,classNames:{containerOuter:\"choices\",containerInner:\"choices__inner\",input:\"choices__input\",inputCloned:\"choices__input--cloned\",list:\"choices__list\",listItems:\"choices__list--multiple\",listSingle:\"choices__list--single\",listDropdown:\"choices__list--dropdown\",item:\"choices__item\",itemSelectable:\"choices__item--selectable\",itemDisabled:\"choices__item--disabled\",itemChoice:\"choices__item--choice\",placeholder:\"choices__placeholder\",group:\"choices__group\",groupHeading:\"choices__heading\",button:\"choices__button\",activeState:\"is-active\",focusState:\"is-focused\",openState:\"is-open\",disabledState:\"is-disabled\",highlightedState:\"is-highlighted\",selectedState:\"is-selected\",flippedState:\"is-flipped\",loadingState:\"is-loading\",noResults:\"has-no-results\",noChoices:\"has-no-choices\"}},D=\"showDropdown\",M=\"hideDropdown\",N=\"change\",F=\"choice\",j=\"search\",K=\"addItem\",R=\"removeItem\",H=\"highlightItem\",B=\"highlightChoice\",V=\"ADD_CHOICE\",G=\"FILTER_CHOICES\",q=\"ACTIVATE_CHOICES\",U=\"CLEAR_CHOICES\",z=\"ADD_GROUP\",W=\"ADD_ITEM\",X=\"REMOVE_ITEM\",$=\"HIGHLIGHT_ITEM\",J=46,Y=8,Z=13,Q=65,ee=27,te=38,ie=40,ne=33,se=34,re=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.position;this.element=t,this.classNames=n,this.type=i,this.position=s,this.isOpen=!1,this.isFlipped=!1,this.isFocussed=!1,this.isDisabled=!1,this.isLoading=!1,this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t=e.prototype;return t.addEventListeners=function(){this.element.addEventListener(\"focus\",this._onFocus),this.element.addEventListener(\"blur\",this._onBlur)},t.removeEventListeners=function(){this.element.removeEventListener(\"focus\",this._onFocus),this.element.removeEventListener(\"blur\",this._onBlur)},t.shouldFlip=function(e){if(\"number\"!=typeof e)return!1;var t=!1;return\"auto\"===this.position?t=!window.matchMedia(\"(min-height: \"+(e+1)+\"px)\").matches:\"top\"===this.position&&(t=!0),t},t.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},t.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},t.open=function(e){this.element.classList.add(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"true\"),this.isOpen=!0,this.shouldFlip(e)&&(this.element.classList.add(this.classNames.flippedState),this.isFlipped=!0)},t.close=function(){this.element.classList.remove(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"false\"),this.removeActiveDescendant(),this.isOpen=!1,this.isFlipped&&(this.element.classList.remove(this.classNames.flippedState),this.isFlipped=!1)},t.focus=function(){this.isFocussed||this.element.focus()},t.addFocusState=function(){this.element.classList.add(this.classNames.focusState)},t.removeFocusState=function(){this.element.classList.remove(this.classNames.focusState)},t.enable=function(){this.element.classList.remove(this.classNames.disabledState),this.element.removeAttribute(\"aria-disabled\"),\"select-one\"===this.type&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),\"select-one\"===this.type&&this.element.setAttribute(\"tabindex\",\"-1\"),this.isDisabled=!0},t.wrap=function(e){!function(e,t){void 0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function oe(e,t){for(var i=0;i0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),ne&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function le(e,t){for(var i=0;i0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n", + " 431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;sthis.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n", + " 432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n", + " 433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n", + " 434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n", + " 435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n", + " 436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n", + " 437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n", + " }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n", + " })\n", + "\n", + "\n", + " /* END bokeh-widgets.min.js */\n", + " },\n", + " \n", + " function(Bokeh) {\n", + " /* BEGIN bokeh-tables.min.js */\n", + " /*!\n", + " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", + " * All rights reserved.\n", + " * \n", + " * Redistribution and use in source and binary forms, with or without modification,\n", + " * are permitted provided that the following conditions are met:\n", + " * \n", + " * Redistributions of source code must retain the above copyright notice,\n", + " * this list of conditions and the following disclaimer.\n", + " * \n", + " * Redistributions in binary form must reproduce the above copyright notice,\n", + " * this list of conditions and the following disclaimer in the documentation\n", + " * and/or other materials provided with the distribution.\n", + " * \n", + " * Neither the name of Anaconda nor the names of any contributors\n", + " * may be used to endorse or promote products derived from this software\n", + " * without specific prior written permission.\n", + " * \n", + " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", + " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", + " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", + " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", + " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", + " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", + " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", + " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", + " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", + " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", + " * THE POSSIBILITY OF SUCH DAMAGE.\n", + " */\n", + " (function(root, factory) {\n", + " factory(root[\"Bokeh\"], \"2.1.1\");\n", + " })(this, function(Bokeh, version) {\n", + " var define;\n", + " return (function(modules, entry, aliases, externals) {\n", + " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", + " if (bokeh != null) {\n", + " return bokeh.register_plugin(modules, entry, aliases);\n", + " } else {\n", + " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", + " }\n", + " })\n", + " ({\n", + " 438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n", + " 439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n", + " 440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends 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