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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# M3 N1 Introduction to pandas and cloud based data\n",
+    "\n",
+    "In this notebook, we'll wrangle some cloud-hosted data with `pandas`, and introduce some of the methods you'll use in Module 3's homework.\n",
+    "\n",
+    "You'll may to install a few new packages for this assignment, so be sure to install them in the class conda environment, which is `xarray-climate` for most users."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "All right, for this notebook, and for your assignment, we'll be using the NOAA Global Historical Climatology Network Daily (GHCN-D) database, which is the official record for daily weather observations.  The dataset is produced by the National Centers for Environmental Information https://doi.org/10.7289/V5D21VHZ.  As part of the NOAA Big Data project, this dataset is hosted in the cloud by several popular cloud data services. For this assignment, we'll use the service on Amazon Web Services, who hosts the dataset in an S3 bucket in a few formats. The link to the S3 page for GHCN-D is https://registry.opendata.aws/noaa-ghcn/."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The data is produced in its original format in fixed-width format text files.  We'll use `pandas` to load some metadata - the station inventory file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>LAT</th>\n",
+       "      <th>LON</th>\n",
+       "      <th>ELEV</th>\n",
+       "      <th>UKN</th>\n",
+       "      <th>NAME</th>\n",
+       "      <th>GSN</th>\n",
+       "      <th>WBAN</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>ACW00011604</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>10.1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ST JOHNS COOLIDGE FLD</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ACW00011647</td>\n",
+       "      <td>17.1333</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>19.2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ST JOHNS</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>AE000041196</td>\n",
+       "      <td>25.3330</td>\n",
+       "      <td>55.5170</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>SHARJAH INTER. AIRP</td>\n",
+       "      <td>GSN</td>\n",
+       "      <td>41196.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>AEM00041194</td>\n",
+       "      <td>25.2550</td>\n",
+       "      <td>55.3640</td>\n",
+       "      <td>10.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>DUBAI INTL</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>41194.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>AEM00041217</td>\n",
+       "      <td>24.4330</td>\n",
+       "      <td>54.6510</td>\n",
+       "      <td>26.8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ABU DHABI INTL</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>41217.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>129653</th>\n",
+       "      <td>ZI000067969</td>\n",
+       "      <td>-21.0500</td>\n",
+       "      <td>29.3670</td>\n",
+       "      <td>861.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>WEST NICHOLSON</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67969.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>129654</th>\n",
+       "      <td>ZI000067975</td>\n",
+       "      <td>-20.0670</td>\n",
+       "      <td>30.8670</td>\n",
+       "      <td>1095.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>MASVINGO</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67975.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>129655</th>\n",
+       "      <td>ZI000067977</td>\n",
+       "      <td>-21.0170</td>\n",
+       "      <td>31.5830</td>\n",
+       "      <td>430.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>BUFFALO RANGE</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67977.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>129656</th>\n",
+       "      <td>ZI000067983</td>\n",
+       "      <td>-20.2000</td>\n",
+       "      <td>32.6160</td>\n",
+       "      <td>1132.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>CHIPINGE</td>\n",
+       "      <td>GSN</td>\n",
+       "      <td>67983.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>129657</th>\n",
+       "      <td>ZI000067991</td>\n",
+       "      <td>-22.2170</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>457.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>BEITBRIDGE</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67991.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>129658 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ID      LAT      LON    ELEV  UKN                   NAME  \\\n",
+       "0       ACW00011604  17.1167 -61.7833    10.1  NaN  ST JOHNS COOLIDGE FLD   \n",
+       "1       ACW00011647  17.1333 -61.7833    19.2  NaN               ST JOHNS   \n",
+       "2       AE000041196  25.3330  55.5170    34.0  NaN    SHARJAH INTER. AIRP   \n",
+       "3       AEM00041194  25.2550  55.3640    10.4  NaN             DUBAI INTL   \n",
+       "4       AEM00041217  24.4330  54.6510    26.8  NaN         ABU DHABI INTL   \n",
+       "...             ...      ...      ...     ...  ...                    ...   \n",
+       "129653  ZI000067969 -21.0500  29.3670   861.0  NaN         WEST NICHOLSON   \n",
+       "129654  ZI000067975 -20.0670  30.8670  1095.0  NaN               MASVINGO   \n",
+       "129655  ZI000067977 -21.0170  31.5830   430.0  NaN          BUFFALO RANGE   \n",
+       "129656  ZI000067983 -20.2000  32.6160  1132.0  NaN               CHIPINGE   \n",
+       "129657  ZI000067991 -22.2170  30.0000   457.0  NaN             BEITBRIDGE   \n",
+       "\n",
+       "        GSN     WBAN  \n",
+       "0       NaN      NaN  \n",
+       "1       NaN      NaN  \n",
+       "2       GSN  41196.0  \n",
+       "3       NaN  41194.0  \n",
+       "4       NaN  41217.0  \n",
+       "...     ...      ...  \n",
+       "129653  NaN  67969.0  \n",
+       "129654  NaN  67975.0  \n",
+       "129655  NaN  67977.0  \n",
+       "129656  GSN  67983.0  \n",
+       "129657  NaN  67991.0  \n",
+       "\n",
+       "[129658 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "stn_ids = pd.read_fwf('http://noaa-ghcn-pds.s3.amazonaws.com/ghcnd-stations.txt', header=None, infer_nrows=1000)\n",
+    "stn_ids.columns = ['ID','LAT','LON','ELEV','UKN','NAME','GSN','WBAN']\n",
+    "stn_ids"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The next file we'll open is the station inventory file.  It describes for each site and each variable, the years that each variable is available."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>LAT</th>\n",
+       "      <th>LON</th>\n",
+       "      <th>ELEM</th>\n",
+       "      <th>TiMIN</th>\n",
+       "      <th>TiMAX</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>ACW00011604</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>1949</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ACW00011604</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>1949</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ACW00011604</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>PRCP</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>1949</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>ACW00011604</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>SNOW</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>1949</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>ACW00011604</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>SNWD</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>1949</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767053</th>\n",
+       "      <td>ZI000067983</td>\n",
+       "      <td>-20.2000</td>\n",
+       "      <td>32.6160</td>\n",
+       "      <td>PRCP</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>2025</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767054</th>\n",
+       "      <td>ZI000067983</td>\n",
+       "      <td>-20.2000</td>\n",
+       "      <td>32.6160</td>\n",
+       "      <td>TAVG</td>\n",
+       "      <td>1962</td>\n",
+       "      <td>2025</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767055</th>\n",
+       "      <td>ZI000067991</td>\n",
+       "      <td>-22.2170</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>1990</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767056</th>\n",
+       "      <td>ZI000067991</td>\n",
+       "      <td>-22.2170</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>1990</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767057</th>\n",
+       "      <td>ZI000067991</td>\n",
+       "      <td>-22.2170</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>PRCP</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>1990</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>767058 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ID      LAT      LON  ELEM  TiMIN  TiMAX\n",
+       "0       ACW00011604  17.1167 -61.7833  TMAX   1949   1949\n",
+       "1       ACW00011604  17.1167 -61.7833  TMIN   1949   1949\n",
+       "2       ACW00011604  17.1167 -61.7833  PRCP   1949   1949\n",
+       "3       ACW00011604  17.1167 -61.7833  SNOW   1949   1949\n",
+       "4       ACW00011604  17.1167 -61.7833  SNWD   1949   1949\n",
+       "...             ...      ...      ...   ...    ...    ...\n",
+       "767053  ZI000067983 -20.2000  32.6160  PRCP   1951   2025\n",
+       "767054  ZI000067983 -20.2000  32.6160  TAVG   1962   2025\n",
+       "767055  ZI000067991 -22.2170  30.0000  TMAX   1951   1990\n",
+       "767056  ZI000067991 -22.2170  30.0000  TMIN   1951   1990\n",
+       "767057  ZI000067991 -22.2170  30.0000  PRCP   1951   1990\n",
+       "\n",
+       "[767058 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "periods = pd.read_fwf('http://noaa-ghcn-pds.s3.amazonaws.com/ghcnd-inventory.txt', header=None, infer_nrows=1000)\n",
+    "periods.columns = ['ID','LAT','LON','ELEM','TiMIN','TiMAX']\n",
+    "periods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's use `pandas` to merge these two tables into one based on the ID."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>LAT_x</th>\n",
+       "      <th>LON_x</th>\n",
+       "      <th>ELEV</th>\n",
+       "      <th>UKN</th>\n",
+       "      <th>NAME</th>\n",
+       "      <th>GSN</th>\n",
+       "      <th>WBAN</th>\n",
+       "      <th>LAT_y</th>\n",
+       "      <th>LON_y</th>\n",
+       "      <th>ELEM</th>\n",
+       "      <th>TiMIN</th>\n",
+       "      <th>TiMAX</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>ACW00011604</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>10.1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ST JOHNS COOLIDGE FLD</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1949.0</td>\n",
+       "      <td>1949.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ACW00011604</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>10.1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ST JOHNS COOLIDGE FLD</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>1949.0</td>\n",
+       "      <td>1949.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ACW00011604</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>10.1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ST JOHNS COOLIDGE FLD</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>PRCP</td>\n",
+       "      <td>1949.0</td>\n",
+       "      <td>1949.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>ACW00011604</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>10.1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ST JOHNS COOLIDGE FLD</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>SNOW</td>\n",
+       "      <td>1949.0</td>\n",
+       "      <td>1949.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>ACW00011604</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>10.1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ST JOHNS COOLIDGE FLD</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>17.1167</td>\n",
+       "      <td>-61.7833</td>\n",
+       "      <td>SNWD</td>\n",
+       "      <td>1949.0</td>\n",
+       "      <td>1949.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767089</th>\n",
+       "      <td>ZI000067983</td>\n",
+       "      <td>-20.2000</td>\n",
+       "      <td>32.6160</td>\n",
+       "      <td>1132.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>CHIPINGE</td>\n",
+       "      <td>GSN</td>\n",
+       "      <td>67983.0</td>\n",
+       "      <td>-20.2000</td>\n",
+       "      <td>32.6160</td>\n",
+       "      <td>PRCP</td>\n",
+       "      <td>1951.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767090</th>\n",
+       "      <td>ZI000067983</td>\n",
+       "      <td>-20.2000</td>\n",
+       "      <td>32.6160</td>\n",
+       "      <td>1132.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>CHIPINGE</td>\n",
+       "      <td>GSN</td>\n",
+       "      <td>67983.0</td>\n",
+       "      <td>-20.2000</td>\n",
+       "      <td>32.6160</td>\n",
+       "      <td>TAVG</td>\n",
+       "      <td>1962.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767091</th>\n",
+       "      <td>ZI000067991</td>\n",
+       "      <td>-22.2170</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>457.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>BEITBRIDGE</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67991.0</td>\n",
+       "      <td>-22.2170</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1951.0</td>\n",
+       "      <td>1990.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767092</th>\n",
+       "      <td>ZI000067991</td>\n",
+       "      <td>-22.2170</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>457.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>BEITBRIDGE</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67991.0</td>\n",
+       "      <td>-22.2170</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>1951.0</td>\n",
+       "      <td>1990.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767093</th>\n",
+       "      <td>ZI000067991</td>\n",
+       "      <td>-22.2170</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>457.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>BEITBRIDGE</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67991.0</td>\n",
+       "      <td>-22.2170</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>PRCP</td>\n",
+       "      <td>1951.0</td>\n",
+       "      <td>1990.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>767094 rows × 13 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ID    LAT_x    LON_x    ELEV  UKN                   NAME  \\\n",
+       "0       ACW00011604  17.1167 -61.7833    10.1  NaN  ST JOHNS COOLIDGE FLD   \n",
+       "1       ACW00011604  17.1167 -61.7833    10.1  NaN  ST JOHNS COOLIDGE FLD   \n",
+       "2       ACW00011604  17.1167 -61.7833    10.1  NaN  ST JOHNS COOLIDGE FLD   \n",
+       "3       ACW00011604  17.1167 -61.7833    10.1  NaN  ST JOHNS COOLIDGE FLD   \n",
+       "4       ACW00011604  17.1167 -61.7833    10.1  NaN  ST JOHNS COOLIDGE FLD   \n",
+       "...             ...      ...      ...     ...  ...                    ...   \n",
+       "767089  ZI000067983 -20.2000  32.6160  1132.0  NaN               CHIPINGE   \n",
+       "767090  ZI000067983 -20.2000  32.6160  1132.0  NaN               CHIPINGE   \n",
+       "767091  ZI000067991 -22.2170  30.0000   457.0  NaN             BEITBRIDGE   \n",
+       "767092  ZI000067991 -22.2170  30.0000   457.0  NaN             BEITBRIDGE   \n",
+       "767093  ZI000067991 -22.2170  30.0000   457.0  NaN             BEITBRIDGE   \n",
+       "\n",
+       "        GSN     WBAN    LAT_y    LON_y  ELEM   TiMIN   TiMAX  \n",
+       "0       NaN      NaN  17.1167 -61.7833  TMAX  1949.0  1949.0  \n",
+       "1       NaN      NaN  17.1167 -61.7833  TMIN  1949.0  1949.0  \n",
+       "2       NaN      NaN  17.1167 -61.7833  PRCP  1949.0  1949.0  \n",
+       "3       NaN      NaN  17.1167 -61.7833  SNOW  1949.0  1949.0  \n",
+       "4       NaN      NaN  17.1167 -61.7833  SNWD  1949.0  1949.0  \n",
+       "...     ...      ...      ...      ...   ...     ...     ...  \n",
+       "767089  GSN  67983.0 -20.2000  32.6160  PRCP  1951.0  2025.0  \n",
+       "767090  GSN  67983.0 -20.2000  32.6160  TAVG  1962.0  2025.0  \n",
+       "767091  NaN  67991.0 -22.2170  30.0000  TMAX  1951.0  1990.0  \n",
+       "767092  NaN  67991.0 -22.2170  30.0000  TMIN  1951.0  1990.0  \n",
+       "767093  NaN  67991.0 -22.2170  30.0000  PRCP  1951.0  1990.0  \n",
+       "\n",
+       "[767094 rows x 13 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "merged_stns = pd.merge(stn_ids,periods,how='left',left_on='ID',right_on='ID')\n",
+    "merged_stns"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's filter the merged table just for the `TMAX` element, and those stations still reporting in 2025.  Notice how the number of stations drops - most of the stations in the dataset measure rainfall & many stations have stopped reporting."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>LAT_x</th>\n",
+       "      <th>LON_x</th>\n",
+       "      <th>ELEV</th>\n",
+       "      <th>UKN</th>\n",
+       "      <th>NAME</th>\n",
+       "      <th>GSN</th>\n",
+       "      <th>WBAN</th>\n",
+       "      <th>LAT_y</th>\n",
+       "      <th>LON_y</th>\n",
+       "      <th>ELEM</th>\n",
+       "      <th>TiMIN</th>\n",
+       "      <th>TiMAX</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>AE000041196</td>\n",
+       "      <td>25.3330</td>\n",
+       "      <td>55.517</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>SHARJAH INTER. AIRP</td>\n",
+       "      <td>GSN</td>\n",
+       "      <td>41196.0</td>\n",
+       "      <td>25.3330</td>\n",
+       "      <td>55.517</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1944.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>AEM00041194</td>\n",
+       "      <td>25.2550</td>\n",
+       "      <td>55.364</td>\n",
+       "      <td>10.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>DUBAI INTL</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>41194.0</td>\n",
+       "      <td>25.2550</td>\n",
+       "      <td>55.364</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1983.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>AEM00041217</td>\n",
+       "      <td>24.4330</td>\n",
+       "      <td>54.651</td>\n",
+       "      <td>26.8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ABU DHABI INTL</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>41217.0</td>\n",
+       "      <td>24.4330</td>\n",
+       "      <td>54.651</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1983.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>AEM00041218</td>\n",
+       "      <td>24.2620</td>\n",
+       "      <td>55.609</td>\n",
+       "      <td>264.9</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>AL AIN INTL</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>41218.0</td>\n",
+       "      <td>24.2620</td>\n",
+       "      <td>55.609</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1994.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>AG000060390</td>\n",
+       "      <td>36.7167</td>\n",
+       "      <td>3.250</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ALGER-DAR EL BEIDA</td>\n",
+       "      <td>GSN</td>\n",
+       "      <td>60390.0</td>\n",
+       "      <td>36.7167</td>\n",
+       "      <td>3.250</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1940.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767021</th>\n",
+       "      <td>ZA000067743</td>\n",
+       "      <td>-17.8170</td>\n",
+       "      <td>25.817</td>\n",
+       "      <td>986.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>LIVINGSTONE</td>\n",
+       "      <td>GSN</td>\n",
+       "      <td>67743.0</td>\n",
+       "      <td>-17.8170</td>\n",
+       "      <td>25.817</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1973.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767026</th>\n",
+       "      <td>ZAM00067663</td>\n",
+       "      <td>-14.4500</td>\n",
+       "      <td>28.467</td>\n",
+       "      <td>1207.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>KABWE/MILLIKEN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67663.0</td>\n",
+       "      <td>-14.4500</td>\n",
+       "      <td>28.467</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1973.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767038</th>\n",
+       "      <td>ZI000067775</td>\n",
+       "      <td>-17.9170</td>\n",
+       "      <td>31.133</td>\n",
+       "      <td>1480.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>HARARE (KUTSAGA)</td>\n",
+       "      <td>GSN</td>\n",
+       "      <td>67775.0</td>\n",
+       "      <td>-17.9170</td>\n",
+       "      <td>31.133</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1956.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767079</th>\n",
+       "      <td>ZI000067975</td>\n",
+       "      <td>-20.0670</td>\n",
+       "      <td>30.867</td>\n",
+       "      <td>1095.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>MASVINGO</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>67975.0</td>\n",
+       "      <td>-20.0670</td>\n",
+       "      <td>30.867</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1951.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>767087</th>\n",
+       "      <td>ZI000067983</td>\n",
+       "      <td>-20.2000</td>\n",
+       "      <td>32.616</td>\n",
+       "      <td>1132.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>CHIPINGE</td>\n",
+       "      <td>GSN</td>\n",
+       "      <td>67983.0</td>\n",
+       "      <td>-20.2000</td>\n",
+       "      <td>32.616</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1951.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>11064 rows × 13 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ID    LAT_x   LON_x    ELEV  UKN                 NAME  GSN  \\\n",
+       "18      AE000041196  25.3330  55.517    34.0  NaN  SHARJAH INTER. AIRP  GSN   \n",
+       "22      AEM00041194  25.2550  55.364    10.4  NaN           DUBAI INTL  NaN   \n",
+       "26      AEM00041217  24.4330  54.651    26.8  NaN       ABU DHABI INTL  NaN   \n",
+       "30      AEM00041218  24.2620  55.609   264.9  NaN          AL AIN INTL  NaN   \n",
+       "54      AG000060390  36.7167   3.250    24.0  NaN   ALGER-DAR EL BEIDA  GSN   \n",
+       "...             ...      ...     ...     ...  ...                  ...  ...   \n",
+       "767021  ZA000067743 -17.8170  25.817   986.0  NaN          LIVINGSTONE  GSN   \n",
+       "767026  ZAM00067663 -14.4500  28.467  1207.0  NaN       KABWE/MILLIKEN  NaN   \n",
+       "767038  ZI000067775 -17.9170  31.133  1480.0  NaN     HARARE (KUTSAGA)  GSN   \n",
+       "767079  ZI000067975 -20.0670  30.867  1095.0  NaN             MASVINGO  NaN   \n",
+       "767087  ZI000067983 -20.2000  32.616  1132.0  NaN             CHIPINGE  GSN   \n",
+       "\n",
+       "           WBAN    LAT_y   LON_y  ELEM   TiMIN   TiMAX  \n",
+       "18      41196.0  25.3330  55.517  TMAX  1944.0  2025.0  \n",
+       "22      41194.0  25.2550  55.364  TMAX  1983.0  2025.0  \n",
+       "26      41217.0  24.4330  54.651  TMAX  1983.0  2025.0  \n",
+       "30      41218.0  24.2620  55.609  TMAX  1994.0  2025.0  \n",
+       "54      60390.0  36.7167   3.250  TMAX  1940.0  2025.0  \n",
+       "...         ...      ...     ...   ...     ...     ...  \n",
+       "767021  67743.0 -17.8170  25.817  TMAX  1973.0  2025.0  \n",
+       "767026  67663.0 -14.4500  28.467  TMAX  1973.0  2025.0  \n",
+       "767038  67775.0 -17.9170  31.133  TMAX  1956.0  2025.0  \n",
+       "767079  67975.0 -20.0670  30.867  TMAX  1951.0  2025.0  \n",
+       "767087  67983.0 -20.2000  32.616  TMAX  1951.0  2025.0  \n",
+       "\n",
+       "[11064 rows x 13 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#subset for T\n",
+    "merged_stns = merged_stns[(merged_stns['ELEM'] == 'TMAX') & (merged_stns['TiMAX'] == 2025)]\n",
+    "merged_stns\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's visualize where these currently reporting stations are using a map, depending on when they started taking measurements.  We'll sort them so the oldest ones are last, so they plot on the top of the map."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "merged_stns_sorted = merged_stns.sort_values('TiMIN', ascending=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>LAT_x</th>\n",
+       "      <th>LON_x</th>\n",
+       "      <th>ELEV</th>\n",
+       "      <th>UKN</th>\n",
+       "      <th>NAME</th>\n",
+       "      <th>GSN</th>\n",
+       "      <th>WBAN</th>\n",
+       "      <th>LAT_y</th>\n",
+       "      <th>LON_y</th>\n",
+       "      <th>ELEM</th>\n",
+       "      <th>TiMIN</th>\n",
+       "      <th>TiMAX</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>624524</th>\n",
+       "      <td>USC00364571</td>\n",
+       "      <td>41.8422</td>\n",
+       "      <td>-79.0169</td>\n",
+       "      <td>384.0</td>\n",
+       "      <td>PA</td>\n",
+       "      <td>KINZUA DAM</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>41.8422</td>\n",
+       "      <td>-79.0169</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>2025.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>631875</th>\n",
+       "      <td>USC00388473</td>\n",
+       "      <td>35.0644</td>\n",
+       "      <td>-82.6722</td>\n",
+       "      <td>384.0</td>\n",
+       "      <td>SC</td>\n",
+       "      <td>TABLE ROCK RSVR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>35.0644</td>\n",
+       "      <td>-82.6722</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>2025.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>488784</th>\n",
+       "      <td>USC00126988</td>\n",
+       "      <td>41.5919</td>\n",
+       "      <td>-85.1017</td>\n",
+       "      <td>324.9</td>\n",
+       "      <td>IN</td>\n",
+       "      <td>PLEASANT LAKE 4NW</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>41.5919</td>\n",
+       "      <td>-85.1017</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>2025.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>136625</th>\n",
+       "      <td>IN009040100</td>\n",
+       "      <td>17.9170</td>\n",
+       "      <td>77.5330</td>\n",
+       "      <td>664.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>BIDAR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>43125.0</td>\n",
+       "      <td>17.9170</td>\n",
+       "      <td>77.5330</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>2025.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>136632</th>\n",
+       "      <td>IN009050100</td>\n",
+       "      <td>16.8170</td>\n",
+       "      <td>75.7170</td>\n",
+       "      <td>594.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>BIJAPUR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>43161.0</td>\n",
+       "      <td>16.8170</td>\n",
+       "      <td>75.7170</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>2025.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>180323</th>\n",
+       "      <td>UK000047811</td>\n",
+       "      <td>54.3500</td>\n",
+       "      <td>-6.6500</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ARMAGH</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>54.3500</td>\n",
+       "      <td>-6.6500</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1844.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>734417</th>\n",
+       "      <td>USW00014734</td>\n",
+       "      <td>40.6828</td>\n",
+       "      <td>-74.1692</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>NJ</td>\n",
+       "      <td>NEWARK LIBERTY INTL AP</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>72502.0</td>\n",
+       "      <td>40.6828</td>\n",
+       "      <td>-74.1692</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1843.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63013</th>\n",
+       "      <td>BE000006447</td>\n",
+       "      <td>50.8000</td>\n",
+       "      <td>4.3500</td>\n",
+       "      <td>104.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>UCCLE</td>\n",
+       "      <td>GSN</td>\n",
+       "      <td>6447.0</td>\n",
+       "      <td>50.8000</td>\n",
+       "      <td>4.3500</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1833.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>129320</th>\n",
+       "      <td>GM000004204</td>\n",
+       "      <td>50.9267</td>\n",
+       "      <td>11.5842</td>\n",
+       "      <td>155.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>JENA STERNWARTE</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>50.9267</td>\n",
+       "      <td>11.5842</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1824.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>180326</th>\n",
+       "      <td>UK000056225</td>\n",
+       "      <td>51.7667</td>\n",
+       "      <td>-1.2667</td>\n",
+       "      <td>63.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>OXFORD</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>51.7667</td>\n",
+       "      <td>-1.2667</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1814.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>11064 rows × 13 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ID    LAT_x    LON_x   ELEV  UKN                    NAME  \\\n",
+       "624524  USC00364571  41.8422 -79.0169  384.0   PA              KINZUA DAM   \n",
+       "631875  USC00388473  35.0644 -82.6722  384.0   SC         TABLE ROCK RSVR   \n",
+       "488784  USC00126988  41.5919 -85.1017  324.9   IN       PLEASANT LAKE 4NW   \n",
+       "136625  IN009040100  17.9170  77.5330  664.0  NaN                   BIDAR   \n",
+       "136632  IN009050100  16.8170  75.7170  594.0  NaN                 BIJAPUR   \n",
+       "...             ...      ...      ...    ...  ...                     ...   \n",
+       "180323  UK000047811  54.3500  -6.6500   62.0  NaN                  ARMAGH   \n",
+       "734417  USW00014734  40.6828 -74.1692    1.8   NJ  NEWARK LIBERTY INTL AP   \n",
+       "63013   BE000006447  50.8000   4.3500  104.0  NaN                   UCCLE   \n",
+       "129320  GM000004204  50.9267  11.5842  155.0  NaN         JENA STERNWARTE   \n",
+       "180326  UK000056225  51.7667  -1.2667   63.0  NaN                  OXFORD   \n",
+       "\n",
+       "        GSN     WBAN    LAT_y    LON_y  ELEM   TiMIN   TiMAX  \n",
+       "624524  NaN      NaN  41.8422 -79.0169  TMAX  2025.0  2025.0  \n",
+       "631875  NaN      NaN  35.0644 -82.6722  TMAX  2025.0  2025.0  \n",
+       "488784  NaN      NaN  41.5919 -85.1017  TMAX  2025.0  2025.0  \n",
+       "136625  NaN  43125.0  17.9170  77.5330  TMAX  2025.0  2025.0  \n",
+       "136632  NaN  43161.0  16.8170  75.7170  TMAX  2025.0  2025.0  \n",
+       "...     ...      ...      ...      ...   ...     ...     ...  \n",
+       "180323  NaN      NaN  54.3500  -6.6500  TMAX  1844.0  2025.0  \n",
+       "734417  NaN  72502.0  40.6828 -74.1692  TMAX  1843.0  2025.0  \n",
+       "63013   GSN   6447.0  50.8000   4.3500  TMAX  1833.0  2025.0  \n",
+       "129320  NaN      NaN  50.9267  11.5842  TMAX  1824.0  2025.0  \n",
+       "180326  NaN      NaN  51.7667  -1.2667  TMAX  1814.0  2025.0  \n",
+       "\n",
+       "[11064 rows x 13 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "merged_stns_sorted"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's do a scatter plot on a `cartopy` map."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from cartopy import crs as ccrs\n",
+    "\n",
+    "fig = plt.figure(figsize=(15,10))\n",
+    "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n",
+    "\n",
+    "# make the map global rather than have it zoom in to\n",
+    "# the extents of any plotted data\n",
+    "ax.set_global()\n",
+    "ax.coastlines()\n",
+    "\n",
+    "plt.scatter(merged_stns_sorted['LON_x'],merged_stns_sorted['LAT_x'],0.25,c=merged_stns_sorted['TiMIN'], \n",
+    "            transform=ccrs.PlateCarree(), cmap='magma')\n",
+    "plt.colorbar(shrink = 0.5, label='year')\n",
+    "plt.title('Year of first TMAX measurement in GHCN daily data with stations still reporting at the last requested time');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's do a query to find stations that are reporting in 2025 and contain the string 'TULSA' the station name field."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>LAT_x</th>\n",
+       "      <th>LON_x</th>\n",
+       "      <th>ELEV</th>\n",
+       "      <th>UKN</th>\n",
+       "      <th>NAME</th>\n",
+       "      <th>GSN</th>\n",
+       "      <th>WBAN</th>\n",
+       "      <th>LAT_y</th>\n",
+       "      <th>LON_y</th>\n",
+       "      <th>ELEM</th>\n",
+       "      <th>TiMIN</th>\n",
+       "      <th>TiMAX</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>732384</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>36.1986</td>\n",
+       "      <td>-95.8783</td>\n",
+       "      <td>194.8</td>\n",
+       "      <td>OK</td>\n",
+       "      <td>TULSA INTL AP</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>72356.0</td>\n",
+       "      <td>36.1986</td>\n",
+       "      <td>-95.8783</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1938.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>753626</th>\n",
+       "      <td>USW00053908</td>\n",
+       "      <td>36.0425</td>\n",
+       "      <td>-95.9903</td>\n",
+       "      <td>189.0</td>\n",
+       "      <td>OK</td>\n",
+       "      <td>TULSA RICHARD L JONES JR AP</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>36.0425</td>\n",
+       "      <td>-95.9903</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1998.0</td>\n",
+       "      <td>2025.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ID    LAT_x    LON_x   ELEV UKN                         NAME  \\\n",
+       "732384  USW00013968  36.1986 -95.8783  194.8  OK                TULSA INTL AP   \n",
+       "753626  USW00053908  36.0425 -95.9903  189.0  OK  TULSA RICHARD L JONES JR AP   \n",
+       "\n",
+       "        GSN     WBAN    LAT_y    LON_y  ELEM   TiMIN   TiMAX  \n",
+       "732384  NaN  72356.0  36.1986 -95.8783  TMAX  1938.0  2025.0  \n",
+       "753626  NaN      NaN  36.0425 -95.9903  TMAX  1998.0  2025.0  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "merged_stns[merged_stns['NAME'].str.contains('TULSA', regex=False)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's load the data! The data is avaiable in AWS in a couple of formats.  It has a mirror of the raw data format in column separated values (csv), and pandas can read it without a problem.  I've added a couple of flags to avoid errors, but this should work to open the data in this format.\n",
+    "\n",
+    "Again, to learn more, visit the AWS site for GHCN-D (https://registry.opendata.aws/noaa-ghcn/)\n",
+    "\n",
+    "Let's load "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_1649/1750304561.py:1: DtypeWarning: Columns (6) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "  df = pd.read_csv(\n"
+     ]
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(\n",
+    "...      \"s3://noaa-ghcn-pds/csv/by_station/USC00118740.csv\",\n",
+    "...      storage_options={\"anon\": True},  # passed to `s3fs.S3FileSystem`\n",
+    "         dtype={'Q_FLAG': 'object', 'M_FLAG': 'object'},\n",
+    "         parse_dates=['DATE']\n",
+    "... ).set_index('DATE')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Looking at the structure of the data, each \"element\" takes up one line, there are QC flags for each variables, and other informtion."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>ELEMENT</th>\n",
+       "      <th>DATA_VALUE</th>\n",
+       "      <th>M_FLAG</th>\n",
+       "      <th>Q_FLAG</th>\n",
+       "      <th>S_FLAG</th>\n",
+       "      <th>OBS_TIME</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DATE</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1902-08-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>300</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-02</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>322</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-03</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>322</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-04</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>256</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-05</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>289</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>PRCP</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>800.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>SNOW</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>SNWD</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>800.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>WESD</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>800.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>WESF</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>339499 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     ID ELEMENT  DATA_VALUE M_FLAG Q_FLAG S_FLAG  OBS_TIME\n",
+       "DATE                                                                      \n",
+       "1902-08-01  USC00118740    TMAX         300    NaN    NaN      6       NaN\n",
+       "1902-08-02  USC00118740    TMAX         322    NaN    NaN      6       NaN\n",
+       "1902-08-03  USC00118740    TMAX         322    NaN    NaN      6       NaN\n",
+       "1902-08-04  USC00118740    TMAX         256    NaN    NaN      6       NaN\n",
+       "1902-08-05  USC00118740    TMAX         289    NaN    NaN      6       NaN\n",
+       "...                 ...     ...         ...    ...    ...    ...       ...\n",
+       "2025-10-01  USC00118740    PRCP           0    NaN    NaN      N     800.0\n",
+       "2025-10-01  USC00118740    SNOW           0    NaN    NaN      N       NaN\n",
+       "2025-10-01  USC00118740    SNWD           0    NaN    NaN      N     800.0\n",
+       "2025-10-01  USC00118740    WESD           0    NaN    NaN      N     800.0\n",
+       "2025-10-01  USC00118740    WESF           0    NaN    NaN      N       NaN\n",
+       "\n",
+       "[339499 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also load the data in a parquet format, which is a cloud-optimized database format.  It also works well with `dask`.  We won't use `dask` for this exercise because a single site is a small file.  However, if you were interested in looking at larger portions of the dataset, `dask` could help."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from datetime import datetime\n",
+    "\n",
+    "df = pd.read_parquet(\n",
+    "    \"s3://noaa-ghcn-pds/parquet/by_station/STATION=USC00118740/\",\n",
+    "    storage_options={\"anon\": True},  # passed to `s3fs.S3FileSystem`\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>DATA_VALUE</th>\n",
+       "      <th>M_FLAG</th>\n",
+       "      <th>Q_FLAG</th>\n",
+       "      <th>S_FLAG</th>\n",
+       "      <th>OBS_TIME</th>\n",
+       "      <th>ELEMENT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DATE</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1902-08-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>0</td>\n",
+       "      <td>P</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>PRCP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>167</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMIN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>300</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-02</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>0</td>\n",
+       "      <td>P</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>PRCP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-02</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>183</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMIN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>144</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMIN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>N</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>WESD</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>161</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TOBS</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>N</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>PRCP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>N</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>SNWD</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>339499 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     ID  DATA_VALUE M_FLAG Q_FLAG S_FLAG OBS_TIME ELEMENT\n",
+       "DATE                                                                     \n",
+       "1902-08-01  USC00118740           0      P   None      6     None    PRCP\n",
+       "1902-08-01  USC00118740         167   None   None      6     None    TMIN\n",
+       "1902-08-01  USC00118740         300   None   None      6     None    TMAX\n",
+       "1902-08-02  USC00118740           0      P   None      6     None    PRCP\n",
+       "1902-08-02  USC00118740         183   None   None      6     None    TMIN\n",
+       "...                 ...         ...    ...    ...    ...      ...     ...\n",
+       "2025-10-01  USC00118740         144   None   None      H     0800    TMIN\n",
+       "2025-10-01  USC00118740           0   None   None      N     0800    WESD\n",
+       "2025-10-01  USC00118740         161   None   None      H     0800    TOBS\n",
+       "2025-10-01  USC00118740           0   None   None      N     0800    PRCP\n",
+       "2025-10-01  USC00118740           0   None   None      N     0800    SNWD\n",
+       "\n",
+       "[339499 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#make date the index\n",
+    "df['DATE'] = pd.to_datetime(df['DATE'].apply(lambda x: datetime.strptime(x, '%Y%m%d')))\n",
+    "df = df.set_index('DATE').sort_index()  #we need to sort by time because the files are sorted to be arbitrary\n",
+    "df\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's create separate dataframes for elements of interest: Maximum and Minimum Temperature and Precipitaion."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_tmax = df.loc[df['ELEMENT'] == 'TMAX']\n",
+    "df_tmin = df.loc[df['ELEMENT'] == 'TMIN']\n",
+    "df_prcp = df.loc[df['ELEMENT'] == 'PRCP']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>DATA_VALUE</th>\n",
+       "      <th>M_FLAG</th>\n",
+       "      <th>Q_FLAG</th>\n",
+       "      <th>S_FLAG</th>\n",
+       "      <th>OBS_TIME</th>\n",
+       "      <th>ELEMENT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DATE</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1902-08-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>300</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-02</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>322</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-03</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>322</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-04</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>256</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-05</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>289</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-09-27</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>289</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-09-28</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>317</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-09-29</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>322</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-09-30</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>333</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>311</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>44918 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     ID  DATA_VALUE M_FLAG Q_FLAG S_FLAG OBS_TIME ELEMENT\n",
+       "DATE                                                                     \n",
+       "1902-08-01  USC00118740         300   None   None      6     None    TMAX\n",
+       "1902-08-02  USC00118740         322   None   None      6     None    TMAX\n",
+       "1902-08-03  USC00118740         322   None   None      6     None    TMAX\n",
+       "1902-08-04  USC00118740         256   None   None      6     None    TMAX\n",
+       "1902-08-05  USC00118740         289   None   None      6     None    TMAX\n",
+       "...                 ...         ...    ...    ...    ...      ...     ...\n",
+       "2025-09-27  USC00118740         289   None   None      H     0800    TMAX\n",
+       "2025-09-28  USC00118740         317   None   None      H     0800    TMAX\n",
+       "2025-09-29  USC00118740         322   None   None      H     0800    TMAX\n",
+       "2025-09-30  USC00118740         333   None   None      H     0800    TMAX\n",
+       "2025-10-01  USC00118740         311   None   None      H     0800    TMAX\n",
+       "\n",
+       "[44918 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_tmax"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note that the values are a not a magnitude you might expect - they are scaled integers.  To get values in degrees C, divide the values by 10."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## pandas plotting\n",
+    "\n",
+    "So, let's visualize this data using `matplotlib`. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Ok, let's plot the time series of maximum temperature for the station we loaded above.  We'll add a fancy rangetool to show the data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>DATA_VALUE</th>\n",
+       "      <th>M_FLAG</th>\n",
+       "      <th>Q_FLAG</th>\n",
+       "      <th>S_FLAG</th>\n",
+       "      <th>OBS_TIME</th>\n",
+       "      <th>ELEMENT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DATE</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1902-08-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>300</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-02</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>322</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-03</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>322</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-04</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>256</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-05</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>289</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-09-27</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>289</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-09-28</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>317</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-09-29</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>322</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-09-30</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>333</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>311</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>44918 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     ID  DATA_VALUE M_FLAG Q_FLAG S_FLAG OBS_TIME ELEMENT\n",
+       "DATE                                                                     \n",
+       "1902-08-01  USC00118740         300   None   None      6     None    TMAX\n",
+       "1902-08-02  USC00118740         322   None   None      6     None    TMAX\n",
+       "1902-08-03  USC00118740         322   None   None      6     None    TMAX\n",
+       "1902-08-04  USC00118740         256   None   None      6     None    TMAX\n",
+       "1902-08-05  USC00118740         289   None   None      6     None    TMAX\n",
+       "...                 ...         ...    ...    ...    ...      ...     ...\n",
+       "2025-09-27  USC00118740         289   None   None      H     0800    TMAX\n",
+       "2025-09-28  USC00118740         317   None   None      H     0800    TMAX\n",
+       "2025-09-29  USC00118740         322   None   None      H     0800    TMAX\n",
+       "2025-09-30  USC00118740         333   None   None      H     0800    TMAX\n",
+       "2025-10-01  USC00118740         311   None   None      H     0800    TMAX\n",
+       "\n",
+       "[44918 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_tmax"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We'll use the builtin plotting capability of pandas to create a plot.  Since the index is set to the date and it is a datetime object, we can just plot away.  We can't forget to scale the data!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='DATE'>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(df_tmax['DATA_VALUE']/10.).plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's create an annual mean minimum temperature time series using `pandas` groupby.  For convenience, I am going to drop the leap year observations first."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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HLSIiclpdDie//M8uth2pJyTIyldmn34zO+m7eSOTmDeyb4N+f/L5MXz1r+t59pPDXDoxnelaw0X8hFpEROS0/r7uMM99chiLBe77/Bgt426SC0YmceWkdACW7yo3uRqR/qMgIiK9WrGrnCdWHuSZjw8B8JPFY7hpzhBTawp03SvZ7i9vNLkSkf6jrhkROcmesga+9Y9NOJwGAOEhNm6YmW1yVTI8ORKAA5VNJlci0n8URETEwzAMPjpQxcPv7PWEEIArJmWctKaFDL4R7iBypLaV1g4HYSEaNCy+Tz9ZRASAxrZO/ut/t/POzjLA1Qryo0WjWbWvkjsXDDe5OgFIiLQTFx5MbUsnByubyMuIMbskkc9MY0REAlR9ayd3v7zVM/Dx/727l3d2lhFss3DdtCxe/tZsbpozhL/ePJ302DCTq5VuI5KjADio7hnxE2oREQlQz649xCubS1hfWMOC0cm85d5D5n9umMyivDSTq5NTGZYcyfpDNRyoUBAR/6AWEZEA5HQavLyxGHCNN/jX5iNUNXUQZQ9iwWhtNe/Nuges7jraYHIlIv3jnIPI6tWrueyyy0hPT8disfDaa6/1eP7mm2/GYrH0uM2aNeuz1isi/eCTgmqO1LZ6Hv/01R0AzB+dTEiQ/j7xZrOGuqbwrjlQRUNbJ87jBhWL+KJz/onT3NzMxIkTeeyxx055zqJFiygtLfXc3nrrrXP9ciLSj7rHhUSFunpnOxyurea7t6cX7zU2LZqRKZF0dDmZsPQ95j78IbtLG3hj21FqmjvMLk/krJ3zGJHFixezePHi055jt9tJTU091y8hIgNkn3tBrC/PyuGJlQcBOG94Ap8bpyDi7SwWC1dOzuDhd/YCUFLXyhf+sAanAV8Yn8bjX5picoUiZ2dAB6uuXLmS5ORkYmNjmTdvHr/+9a9JTk4+5fnt7e20t7d7Hjc0qA9UZCB0D3RcODaFtJhQLMCNM3OwWS3mFiZ9cuWkDP7w/n5Cg20EWa1UNbl+br6ZX8oDLZ3EhAebXKFI3w1YEFm8eDHXXnstOTk5FBYW8rOf/YwFCxawadMm7Pbe96pYtmwZ999//0CVJCJAQ1snFY2uX1zDkiOZnB1nckVyttJjw1j+/XmEh9ioaurgP9uP8vd1h6lr6eTN/FJu1Cq44kMGLIhcd911nvt5eXlMmzaNnJwc3nzzTZYsWdLra+69917uvvtuz+OGhgaysrIGqkSRgNTdGpISbSc6VH85+6qs+HDAtcjZqNRRRNqDWPb2Hl7bUqIgIj5l0IbHp6WlkZOTw/79+095jt1uJzo6usdNRPpXdxDpngYq/uGyia6deTccrqFWg1bFhwxaEKmurqa4uJi0NC2UJGKmg91BJElBxJ+kx4YxOjUKw4DV+yvNLkekz845iDQ1NbF161a2bt0KQGFhIVu3bqWoqIimpiZ++MMf8sknn3Do0CFWrlzJZZddRmJiIldddVV/1S4i50AtIv5r3qgkAFbuVRAR33HOQWTjxo1MnjyZyZMnA3D33XczefJkfv7zn2Oz2cjPz+eKK65g5MiR3HTTTYwcOZJPPvmEqKiofiteRM6O02mwpbgOgNFp6vr0N/NHumYlrt5XqYXOxGec82DV+fPnYxin/kZ/9913z/WtRWSA5JfUU9PsWsp9Ulas2eVIP5s2JI6wYBvVzR0UVDWr1Ut8gtZyFgkg3U325w1PJNimf/7+JthmJTcxAoBDVc0mVyPSN/pJJOKHDMPg1r9tYPHv19DS0eU5vnJfBQDz3WMJxP/kJrmDSLWCiPgGBRERP1Rc08r7eyrYXdrA2/llANQ2d7DNPT5knoKI3xrqbhEpUIuI+AgFERE/tPZglef+vzYfoay+jTUHqnAaMColirSYMBOrk4E0JMEVRAorFUTENwzoXjMiYo5PCqo999cerGbWsvc9j9Ut49/UNSO+Ri0iIn7GMAw+OegKIslRJ+/rNG+kgog/y3W3iJTWt9Ha4TC5GpEzUxAR8TMHK5uoaGwnJMjK63ecx9M3TWPMcWuGTBsSb2J1MtDiIkKICXPtIXTtn9eyv7zR5IpETk9BRMTPfLjHNUV3xpB40mLCuGhMCn+9eRoTs2L5wSUjCQnSP3t/N9TdPbOjpIFfv7Xb5GpETk8/kUT8zId7XVN0Lxyd7DmWFhPG67efx50XjTCrLBlEt88fTla8a0Dymv1VVDe1m1yRyKkpiIj4kca2TtYX1gCw4LggIoHl4rEprLlnAeMzYnA4Dab+agWf//0aHnhrN+1dGjci3kVBRMSPrNlfRZfTIDcxwrPCpgSuKyale+7vKm3gL6sLPF13It5CQUTEj/xn+1EALh6j1hCBa6ZmMmdYAksmZ3hmS+3T4FXxMlpHRMTH7SlrICo0mEh7ECt2u8aHXDEpw+SqxBvEhofw/DdmAfCnVQdZta+S/RVNJlcl0pOCiIgPK6tv4/LHPsZus/K9i0fQ0eVkZEok49Kjz/xiCSgj3Dvx7i9vpMvh5IYn1xFss/LcLTMI0gaIYiJ994n4sA2HaujoctLY3sUD7mmaV07OwGKxmFyZeJsRyVGAaw+agqpmNhyqZe3Bal7fetTkyiTQKYiI+LD8knrPfacBw5Ii+OrsIeYVJF4rIy6M0GArHV1OPj5wbC+i//lgP10Op4mVSaBTEBHxYd276QIkRdn5y1enEWlXj6uczGa1MCzJ1T3zwZ4Kz/FD1S28plYRMZGCiIiPcjgNdrhbRN7+3lzW3XuR5xeNSG+6x4ms2e9qEeleCl6tImImBRERH1VY1URzh4PQYCsjkiOxWTUuRE7v+D2HAL41byjxESEcrm7hzfxSk6qSQKcgIuKjthW7WkPy0mM060H6ZGpOXI/Ho1OjWDLZNdV78+FaM0oSURAR8VWbi1y/OCZnx5pbiPiMvIwYgm3HWs6y4sIZmeqaTXOwstmssiTAKYiI+KhN7r9gT/wrV+RUQoNtZMaFex5nxoV7xhUdrNRCZ2IOBRERH9TY1sle91LdU7IVRKTvkiLtnvthITaGJbn2JCqtb6OpvcussiSAKYiI+KBtxfUYBmTFh5EcHWp2OeJDrpmWCUB6jOv7JjY8hMTIEAAK1T0jJtCCAyI+6OODrumXag2Rs3Xt1EyiQ4MYlx7jOTY0KZKqphoOVjYxPjPmNK8W6X9qERHxIQ1tnby0oYgnVxcAcMGIJJMrEl9jsVhYlJdGVvyxsSLd40QKNE5ETKAWEREf0djWyYLfrKSqqQOAKyals2SKdtmVz657nIh25hUzKIiI+Ih/byulqqmDuPBgbpiRzfcuHqHN7aRf5GW4umM2Ha7FMAx9X8mgUteMiI94aWMxALfNH849i0ZjD7KZXJH4i0lZsYTYrFQ0tnOousXsciTAKIiI+IB95Y1sK64jyGrhKnXHSD8LDbYxKSsWgE8Lqs0tRgKOgoiID1i1txKAC0YmkXjcOhAi/WXm0HgAPi2sMbkSCTQKIiI+YMMh1y+HWe5fFiL9bWZuAgDrFURkkCmIiHg5wzDY6F7OfdoQBREZGGPTXTvzltS10t7lMLkaCSQKIiJe7mBlMzXNHYQGW8lL12JTMjDiwoMJDXb9SiirbzO5GgkkCiIiXuzdnWVc/MgqwD2zIUj/ZGVgWCwW0mPCADhapyAig0c/1US81D/WHeZbf9/keXz+8EQTq5FAkBbr2n/maF2ryZVIINGCZiJeqKWji1/+excA103L4vwRiVwyNsXkqsTfpblbRErrFURk8CiIiHihwqpmOhxO4sKDefDq8VrpUgZF9468RzVGRAaRumZEvFBhlWs79qFJkQohMmjSY90tIuqakUGkICLihQorXUEkNzHC5EokkKTFHhusWt3Uzk9fy2fn0XqTqxJ/pyAi4oUKPC0iCiIyeI51zbRy67Mb+ce6Ir7/0lZzixK/pyAi4oU8QUQtIjKIultEGtu62FpcB8C+8iYTK5JAoCAi4mUMw6Cw0vXDPzcx0uRqJJBE2oOICQvucSzEZsXhNEyqSAKBgoiIl6lu7qChrQuLBXISws0uRwLMXRePICr02ITKDodT64rIgFIQEfEiFQ1t3Pq3DQCkx4QRGmwzuSIJNF87L5f1P7mYlT+cz4hkV4tcd1ehyEBQEBHxIo9/eIBtR+oJCbJyy/m5ZpcjASosxMaQxAjPrK1DCiIygLSgmYgXWVfg2oL9d1+cxBcmpJlcjQS6XPesrUIFERlAahER8RLVTe3sLW8EYNbQeJOrEYHcBFcQUdeMDCQFEREvsb7Q1RoyKiWKhEi7ydWIHFtQb0dJPS0dXSZXI/5KQUTECzz49h6+88/NAMwelmByNSIuk7JjyYwLo6a5g8c+OGB2OeKnzjmIrF69mssuu4z09HQsFguvvfZaj+cNw2Dp0qWkp6cTFhbG/Pnz2blz52etV8TvNLR18qdVBz2PLxydbGI1IsfYg2z84rJxADy5pkC78sqAOOcg0tzczMSJE3nsscd6ff7hhx/mkUce4bHHHmPDhg2kpqZyySWX0NjYeM7FivijPaXH/k386zuzmTcyycRqRHq6eEwyM3Pj6XQY/GPdYbPLET90zkFk8eLF/OpXv2LJkiUnPWcYBo8++ij33XcfS5YsIS8vj2effZaWlhaef/75z1SwiL/Z5d5U7OIxyUzN0SBV8S4Wi4WvnTcEgBfWF9PW6TC3IPE7AzJGpLCwkLKyMhYuXOg5ZrfbmTdvHmvXrh2ILynis3YebQBgbHqMyZWI9O7iMSmkx4RS09zBV/+6nqqmdrNLEj8yIEGkrKwMgJSUlB7HU1JSPM/1pr29nYaGhh43EX9lGAZbi+vYdLgWgLFp0SZXJNK7IJuV/74yj/AQG+sLa/jte/t6PN/lcJpUmfiDAZ01Y7FYejw2DOOkY8dbtmwZMTExnltWVtZAlidiqqfWFHLl4x971mgYl64gIt7rojEp/P76yQCs2V/pOf73Tw4x4f73eOyD/WaVJj5uQIJIamoqwEmtHxUVFSe1khzv3nvvpb6+3nMrLi4eiPJETFfX0sEfjvvBHR5iIzMuzMSKRM5s9rAEbFYLR2pbKa5pIf9IPff/exctHQ5+894+nlpTYHaJ4oMGJIjk5uaSmprK8uXLPcc6OjpYtWoVc+bMOeXr7HY70dHRPW4i/ugvqwtobOsiMTKEKyal89MvjD1ta6GIN4i0BzEx0zWW6ZOD1dz76na6nIZnl+gH397DTvfga5G+Oucg0tTUxNatW9m6dSvgGqC6detWioqKsFgs3HXXXTzwwAO8+uqr7Nixg5tvvpnw8HBuvPHG/qpdxCd1dDl5cYOrte9XV47n99dP5saZ2SZXJdI33Qvu/fd/drGjpIGwYBuvfGcOnxuXQpfT4Ef/2o5hGCZXKb7knIPIxo0bmTx5MpMnu/oM7777biZPnszPf/5zAO655x7uuusubrvtNqZNm0ZJSQnvvfceUVFR/VO5iA+obGxnXUG1Z8pjYVUzz649RE1zB8lRdi4eo8XLxLfMG+n6nm1sdy35fsOMbBIi7fzqyvFYLLCjpIGqpg4zSxQfc867786fP/+0qddisbB06VKWLl16rl9CxOfd9s9NbDhUS3iIjdsvHM7vlu+jy+n6d3P11EyCbNplQXzLjNx47lk0it+8u5fQYBvfuCAXgKQoO9nx4RyubuFARRNJUdovSfrmnIOIiJyew2mwuagOgJYOB//v3b2e50KDrVw/XbPCxDfdNn84n89LwwDSYo4Nsh6RHOkOIo3aM0n6TEFEZICU1LbicBrYrBamD4ljXUENKdF2/n7rTPcsmXCzSxQ5Z0PcO/Meb1hyJCt2V7C/osmEisRXKYiIDJCDVa4fxsOTIvnzV6bxj3WHWTg2hREpGicl/mlEsut7e3+5goj0nYKIyAAprHQtVJabGEFMWDC3Xzjc5IpEBtaI5EgAtYjIWdFIOZEBUuheMTU36eQmbBF/NMwdRKqa2qlr0cwZ6RsFEZEB4gkivfSli/ijSHsQ6TGhABxQq4j0kYKIyADpDiJDFUQkgOQkuL7fj9S2mlyJ+AoFEZEB0NrhoKTO9YNYLSISSLr3TDpS22JyJeIrFEREBsCu0gYAEiJCiI8IMbkakcHTPS1dLSLSVwoiIgNgW3EdAJOyYrWZnQSU7haRYrWISB8piIgMgG1H6gCYmBVrah0ig+1Y14xaRKRvFEREBkB3i4iCiASazHhX18zROtfKwiJnoiAi0s9qmzs4VO1qlp6YGWNyNSKDKyXKTpDVQqfDoKKxzexyxAcoiIh8Rh/uregxQ+DVLSWAa7ZMbLgGqkpgCbJZSYt1rSWi7hnpCwURkc9ga3EdX3tmA999YQvgCiW/enMXgHbXlYCVGds9c0YDVuXMFEREPoM97mm624/UU9/ayU9f3YHTgOumZfHNC4aaXJ2IObLd40T2lzfxu+X7eHljsckViTfTpncin0FRjesvvi6nwQ9e3kZJXSsZsWEsvXycpu1KwJqaE8dLG4t5ak0hHQ4nAFdMSsceZDO5MvFGahER+QyKj+sDX7G7HIAfLx5NWIh+4ErgmjM8AcATQsDVOiLSGwURkc+gu0WkW0xYMIvyUk2qRsQ7ZMaFe7pnuu062mBSNeLtFEREPoMjJwSRS8amEGzTPyuR89ytIt12Hq0/5blN7V0DXY54Mf3EFDlHze1dVDd39Di2WK0hIgAszksDIMjqGiu18xQtIm/nl5L3i3d57pNDg1WaeBkFEZFz1L2XRnRoEGPTohmZEsn5IxJNrkrEO1wwMokVd8/j1dvOA2B3aQPOXlZa/c4/NwPw89d3Dmp94j00a0bkHBXXuAaq5iRE8MYd5+E0wGbVTBmRbsOTI+lyOAkNttLc4aCgqpnhyZFmlyVeRi0iIueoe6Bqdnw4FotFIUSkF0E2K5Pcey6tK6ju8ZzGhggoiIics0NVzQBkJ4Sf4UyRwDZnmKvL8pODPYPIzpKeA1jbOh2DVpN4DwURkXN0sNK1LsLwJDU1i5zOnGGuGTRv5pdyxeMf8+7OMgDyTwgipfXaJC8QKYiI9EFTexd/WX2wx94Z3UFkmPq8RU5rQmas5/624jp+t3wf4Nqr6Xgl2iQvIGmwqkgffPO5jaw9WM22I/VMzIyhoLKZ8oZ2AIYmRZhcnYh3CwmysmB0Mh/sqQBgT1kjLR1drN5XCUBosJW2TidH6xREApGCiMgZrCuoZq27b/vN7aW8lV+K4Z6FmBxlJzo02MTqRHzDzy4dy5TsWH7znqs15Ok1hTS0dZEYaWfB6CRe3niEEgWRgKSuGZEz+NvHh3o8No5bCmGYxoeI9EluYgR3LBjB/FFJAPzW3T2zKC+FrDjXgG+1iAQmBRGRM9hX0XjK54YkqltG5GxMzY7r8fjz49PIiAsDUItIgFIQETmNToeTomrXANXZQxNOej5Cu+yKnJWpOceCyMVjkpmZm0Cmu0Wk0D0lXgKLxoiInEZxTQtdToOwYBsLx6XwiXtBpptm5/Dh3kpumjPE3AJFfMzMoQncPGcImXFh3HJeLlarhTFpUYBr+m51UzsJkXaTq5TBpCAichoHK11/oeUmRjAzN8Fzf+nl47jfopVURc6WzWph6eXjehyLCg1maGIEBVXN5JfUM39UsknViRkUREROo+C4tULGpkfz3C0zyIgLw6IQItKv8jJiKKhqZoeCSMDRGBGR0yhwt4gMdQ9KvWBkkmbKiAyACZkxwMmrrYr/UxAROY2CKleLiBYtExlYeRnuIHJEQSTQKIiInKDT4eTf245S3tDG/gp314xaQUQG1Lj0aACO1rdR29xhcjUymDRGROQEP/5XPv/afITRqVHUtXQSEmRlZEqU2WWJ+LWo0GAyYsMoqWvlYGUT0yLizS5JBolaRESO88a2o/xr8xHAtR8GwPiMGEKC9E9FZKB1d4F2j82SwKCfriJu7V0OHnp7z0nHJ2fFDn4xIgGouwu0e2drCQwKIiJu3ZtuJUfZWTQu1XN8Sk7caV4lIv1lmLtFREEksCiIiOAaoPqnlQcBuG3+MC4ac2wdg8nZsSZVJRJYjrWIqGsmkGiwqgjwVn4pJXWtJESEcP2MbBrbuogJCyYnIZy0mDCzyxMJCMOSXUGkqKaF9i4H9iDt5RQIFEQk4BmGwZNrCgC4ac4QQoNthAbb+PCH8zVIVWQQJUfZibQH0dTeRVF1CyM0Wy0g6KesBDzXstINhARZ+fKsHM/x+IgQIu3K6iKDxWKxMCLF1SryxrajJlcjg0VBRALepwU1AEzJjiU+IsTkakQC2zfnDgXgT6sOcqCikec/LeI/2xVK/Jn+3JOA92lhNQAz3Lvrioh5FuWlcuGoJD7cW8lVj6+lsb0LqwWm5sRpvJafUouIBDTDMDwtIjNztZKjiNksFgsPXT2B7PhwGtu7AHAa8MrmEpMrk4GiICIBrbimlbKGNoKsFqZka70QEW+QHB3KP26dycVjkpnoXlDw/zYdoaWjy9zCZEAoiEhAe3tHKQATs2IJC9FUQRFvkZ0QzlM3Tef5r88kPMRGYVUzU/57OWsPVpldmvSzAQ0iS5cuxWKx9Lilpqae+YUig6DL4eTZtYcA+OK0THOLEZFeRdiDuO8LY0iMtNPW6WTFrgqzS5J+NuCDVceNG8eKFSs8j202/dUp5nvkvb384YMDACREhHDFpAyTKxKRU/nSzBysFgv3vpKv5d/90IAHkaCgILWCiNf5v01HPPdvOT+X0GAFZBFvpg3x/NeAjxHZv38/6enp5Obmcv3111NQUHDKc9vb22loaOhxE+lvze1dHK1vA+CZr03nO/OGmVyRiJxJ94Z4JXWttHY4TK5G+tOABpGZM2fy3HPP8e677/Lkk09SVlbGnDlzqK6u7vX8ZcuWERMT47llZWUNZHkSoArcG2olRoZw4ahkrFaLyRWJyJnER4QQGx6MYUBhlTbF8ycDGkQWL17M1Vdfzfjx47n44ot58803AXj22Wd7Pf/ee++lvr7ecysuLh7I8iRAHahsBI419YqI97NYLJ5/s6v3V1Ld1G5yRdJfBnX6bkREBOPHj2f//v29Pm+324mOju5xE+lvBytcf0117/QpIr6hu3vmwbf3cNUf19LlcJpckfSHQQ0i7e3t7N69m7S0tMH8siI9HKhwDXZTi4iIbxl63L/ZopoWPj7Ys5v/YGUTW4vrBrkq+awGNIj88Ic/ZNWqVRQWFvLpp59yzTXX0NDQwE033TSQX1akV4Zh8PrWEt7ZWQbAcLWIiPiUi8ckkxRl9zx+ZfOx2W+bi2pZ+LvVXPuntZS5B6OLbxjQIHLkyBFuuOEGRo0axZIlSwgJCWHdunXk5OSc+cUi/eyjA1V878Wtnsfdzbwi4huGJ0ex/icX8drt5wHw7s4ymtu7aGzr5OvPbsThNOh0GGw4VGNypXI2BnQdkRdffHEg317krKzcW+m5f83UTDJitZOniK+xWCxMzIwhLSaU0vo2dpU24HAa1DR3eM7ZdLiWyyamm1ilnI0BX9BMxFt8fMC1R8XjN07hCxM0TknEV1ksFnISwimtb6OkthXbCVPwtxTVmlSZnAtteicBoaKxjT1ljVgsMHtYgtnliMhnlBEbDrgWOKtodE3lnZwdC8DOow20dWrRM1+hICIBYe0B1+j6cenRxEeEmFyNiHxWmXGurtUjta1UNLoGp07KiiUpyk6X02CbZs/4DAURCQgfubtlzhueaHIlItIfMjxBpIVKd4tIclQoEzJiANhXoT1pfIXGiIjfMwzDMz7kfAUREb+Q6R5sXlLX6jmWHGX3BJTS446Ld1MQEb9XUNVMaX0bIUFWpg+JN7scEekHmXHuMSK1rQS5B6smR9tJi3EHEa0l4jPUNSN+r7s1ZFpOHKHBNpOrEZH+kBoTisUC7V1O9pW7umGSouykx4YCPVtKxLspiIjf+2i/xoeI+JuQICspUaE9jiVHhZIe290ioiDiKxRExO917z0xI1fdMiL+pHvmDECwzUJceLAniJTVt+F0GmaVJmdBQUT8Wll9GxWN7Vgtrqm7IuI/RqQc2y8qKdKOxWIhJcqO1QKdDoOqpnYTq5O+UhARv7btSB0AI1OiCA/R2GwRf/Klmcf2LWt1L2AWZLOSEq1xIr5EQUT8kmG4mmS3u4PIhMwYE6sRkYGQlxGDxb26u8167NdZWowriGjmjG9QEBG/s/ZgFWN//i5/X3eY7UfqAZiQGWtuUSIyIN696wImZcXy4JLxnmPd40SOqkXEJ6itWvzOl576FMOAn722g9jwYAAmKoiI+KWRKVG8dvt5PY51B5EjtQoivkAtIuKzPthTzqJHV7OnrMFzrLS+FeO4gfJ1LZ2EBlsZlRplQoUiYoZhSREA7C1rNLkS6QsFEfFZt/xtI3vKGvnGcxs9x17ecOSk8yZlxRISpG91kUCR595vZsfRes94MfFe+uksPq+4xtX8uq24jsc/PHDS8zO0rLtIQBmZEkVIkJXGti4OV7eYXY6cgYKI+KSOLmePx7XNHdz5whY6HE4Wjk3h1vNzPc9NUxARCSjBNitj3N2x6wtrWLGrnLfyS9U64qU0WFV8UlFNz79y7nstn6KaFpKi7PzmixP5cE8FAFYLTMmJM6NEETFRXkYM247Uc8+/tnuOvfTNWcwcmmBiVdIbtYiITzpY2dTj8Vv5ZQDcNn8Y0aHBnD88kYSIEBbnpRFpV94WCTTjM05eO6igqtmESuRM9BNafFJB5ck/UIYkhHPDjGwAEiLtbPzpxYNdloh4ibkjkwgPsTE6NYrkqFDe2VlGZaOWfPdGCiLikwrcLSJ3LhhOQkQIUaHBXDwmhdBgm+ccS/eSiyIScDJiw9j000sIDbbyu+X7eGcnVDRqpVVvpCAiPqm7a2ZUahSXTkg3uRoR8UZhIa4/TJKi7ACU1bfz2Af7uWBkklZb9iIaIyI+p6KxjW3updvHpWsPGRE5vaQo194zK3aX85v39vH9l7aaW5D0oCAiPudfm0pwOA2mZMeSmxhhdjki4uW6W0S6Haxs5pAGrnoNBRHxKZ0OJy9tKALg+unZJlcjIr4g+YQgAvCBe4q/mE9BRHyG02lwz/9t51B1C1H2IL4wIc3skkTEB5zYIgIKIt5Eg1XF6x2pbWFPaSMVje28uqUEm9XC72+YRITWBxGRPggNthEVGkRjW5fn2KeF1TS2dRIVGmxiZQIKIuIDfvi/21hXUON5/KNFo1gwOsXEikTE5xy3unt2fDhFNS18tL+KxePVsmo2dc2I1zs+hOQkhHPznNzTnC0icrLG9mOtIQvHuv6QeV/dM15BQUS8Wn1Lp+f+iORIHr56AiFB+rYVkXO3YEwyAB/uqcDp1EZ4ZtNPdPFq3ZvbJUbaWX73PG1YJSLn5GJ3+Jg7IpHpQ+KJsgdR3dzBtiN15hYmCiLi3bqDSHZ8mMmViIgve+jqCfz0C2P4/fWTCbZZmTsyEYBV+ypNrkwURMSrdQeRnAQtXCYi5y4h0s7X5w4lPiIEgHkjkwAFEW+gICJerajGtfphVny4yZWIiD+5wB1EthXXUdfSYXI1gU1BRLxOeUMbT60poKa541iLiIKIiPSjtJgwRqZE4jTgowNVZpcT0LSOiHiVAxVNfPmpTylraOOjA1XHxogkKIiISP+6YEQS+8qbWL2vUrt4m0gtIuJVfvi/2yhraANg5d5KimtaAdcCRCIi/WneqGPjRAxD03jNoiAiXmPn0Xq2FtcRbLMwd0Si5/hFo5N73bRKROSzmD4kntBgK+UN7ewtbzS7nIClICJe4/lPXbvqfm5cKr++cjzJUXY+Pz6Vx780BYvFYnJ1IuJvQoNtzHKvTbRas2dMoyAiXqHL4eSNrUcBuHFGNtkJ4Xz6k4v445emEhpsM7k6EfFX3dN4391ZbnIlgUtBRLzC3vJGGtu7iLIHef5CUSuIiAy0L4xPw2a1sOlwLfvUPWMKBRHxCpuL6gCYlB2L1aoAIiKDIzk61LP8e3f3sAwuBRHxClsO1wIwOTvO5EpEJNDcMCMbgFe3lNDlcJpcTeBREBGvsLnIFUSmZMeaW4iIBJy5I5KICw+mvrWTje4/imTwKIiI6aqb2jlU7Vq4bHKWWkREZHDZrBYuHOXqnvlgT4XJ1QQeBREx3dbiOgCGJUUQEx5sbjEiEpAWuMeJvL+799kzTqcWPBsoWuJdTHesW0atISJijgtGJhFktXCwsplNh2t4ZXMJyVGhXD01g7+vO8zfPznMk1+dxnnDE8/8ZnJWFETEdJsP1wEwJUdBRETMER0azHnDE1m1r5Kbn9lAY1sXAM9+coiG1k66nAbfe3Erb39vLkla6blfqWtGTNXlcLLtSB2gFhERMdeVk10b33WHEICa5g663N0yVU3tLP33TlNq82cKIjLoDMPgt+/t5XsvbiG/pJ6WDgdR9iBGJEeaXZqIBLCFY1MJc6/kPDw5kje/ez7BNte6RksvG4vVAm9uL2V9YY2ZZfqdQQkif/zjH8nNzSU0NJSpU6eyZs2awfiy4qX+vLqA//ngAK9vPcpPX9sBwMQsLWQmIuaKsAdx+URXq8g35uYyLj2G526ZyZ++PIWbz8vlevd6I796c5d26+1HAx5EXnrpJe666y7uu+8+tmzZwty5c1m8eDFFRVrBLhCV1rfy8Dt7PI93Hm0A4LKJaWaVJCLisfTycbx2+3l8cVoWALOHJbAoz/Xz6QeXjCQ8xMb2I/Wa5tuPBjyIPPLII9x66618/etfZ8yYMTz66KNkZWXxxBNPDPSXFi+06XAtTgNyEyOICnWNlR6bFs01U7NMrkxEBMJCbEzKiu11r6uESDtfmZ0DwO/f369WkX4yoEGko6ODTZs2sXDhwh7HFy5cyNq1a086v729nYaGhh438S/5R+oBOG94Aj9cOIr0mFB+fVUeNnXLiIgP+ObcoVgssP1IPdXNHWaX4xcGNIhUVVXhcDhISUnpcTwlJYWysrKTzl+2bBkxMTGeW1aW/kr2N90zZCZkxHLTnCGsvfci7S8jIj4jIdJOTJhr4cUaBZF+MSiDVU9s4jIMo9dmr3vvvZf6+nrPrbi4eDDKk0HidBrsKHG1co3PjDG5GhGRcxMfHgIoiPSXAV3QLDExEZvNdlLrR0VFxUmtJAB2ux27XQvF+KvC6maa2rsIDbZqqq6I+Ky4iBCoaqZWQaRfDGiLSEhICFOnTmX58uU9ji9fvpw5c+YM5JcWL7S1qA6AcekxBNm0hI2I+Kb4CHeLSIuCSH8Y8CXe7777br7yla8wbdo0Zs+ezV/+8heKior49re/PdBfWrzMRweqAJg+JN7kSkREzl1314xaRPrHgAeR6667jurqan75y19SWlpKXl4eb731Fjk5OQP9pcUkO0rqefjdvfx40WjGpkcDrvEha/ZXAnDBSG0aJSK+K87dIqJZM/1jUDa9u+2227jtttsG40uJF1j6xk42Hq5l9b5KDj34BQB2lTZQ1dRBeIiNaTlqERER3xUf4Zo1oxaR/qGOeul3pfVtnvubDtfQ3uXg758cBmDOsARCgvRtJyK+Kz7CNamipqXT5Er8w6C0iEhgaek4tnPlw+/sxeE02Hi4FoDL3Ps4iIj4KrWI9C8FEelXtc0d1B73V8Kn7l0qo0ODWHr5OM+GUiIivipO64j0K7WRS78qqGoGIC0mlEevmwSAxQL/c+MUlkzJ7HUhOxERX9I9fbdW03f7hVpEpF8VuoPI0KQIrpycQYQ9iAi7jTnDNFNGRPxDdxBp6XDQ1ukgNNhmckW+TS0i0q8KKpsA1+66AJeMTVEIERG/EmkPItjmat09sXtmX3kjP3h5G+UNbb29VHqhFhHpVwWV7haRRC3hLiL+yWKxEBceQkVjOzXNHaTHhnmeW/i71QAEWS08dM0Es0r0KWoRkX61r7wRcHXNiIj4q/heFjUrqm7x3K9r1fiRvlIQkX5T19LhGaw6ITPW3GJERAZQTkI4AHtKGzzH/m/TsR3jNW6k7xREpN9sLa4DXONDuv9aEBHxR1Nz4gDYXORaI8kwDF7dWuJ5vk6LnfWZgoj0m83u3XUnZ8WaWoeIyECbku0KIpsO12EYBjuPNlBc0+p5vk5Te/tMQUT6zRb3XwaTs2PNLUREZIDlZcQQbLNQ1dTOkdpW3t5RCkBSlGv591q1iPSZgoj0C4fT8HTNTHb/pSAi4q9Cg22MS48BYNPhWt7OLwPghhnZgBY7OxsKItIvVu+rpLGti9jwYEalRpldjojIgJvmHify5JoCCqqaCQmycs2UTAAa27rocjjNLM9nKIhIv3hpg2u0+FWTMwi26dtKRPzfpe69s3Yedc2cWTg2hfTYUM/z9a3qnukL/caQz6y6qZ0Vu8sB+OK0LJOrEREZHBMzYxiRfGzxxmumZhJksxIV6lorVONE+kZBRD6zDYdq6XIajEqJYkxatNnliIgMCovFwrXTXF0xKdF25o5IAo7tzquZM32jJd7lMztc7VrETGNDRCTQfHlWDkdqW1kwOhmb1bX/TFx4MEU1ahHpKwUROSsdXU6e++QQ49JjmD0sAYBD7mWNhyRqWXcRCSzhIUH88oq8Hsdi1SJyVhREpM9aOrr46tPr2Xi4loSIENbfdzE2q4VD7mXdh7iXPBYRCWRx4cGAVlftK40RkT77341H2HjYtWhZdXOHZwGz7q6ZnAS1iIiIdLeI/H3dYT4tqDa5Gu+nICJ9tr+iscfj5bvLaet0cLS+DVCLiIgIQKy7RaSopoVbn91IW6fD5Iq8m4KI9Fn3PgpzRyQCsHxXOYfd40Oi7EHa6E5EBIi0Hxv10NTexfrCGsC1Md4zHxfys9d28ML6IrPK8zoaIyJ9VlzjCh1fmpnDpwU1FFQ287lHVwOQkxiOxWIxszwREa9w4n5bK/dWcsHIJLYdqef+f+/qcd7oVC15oBYR6ROH0+BIratFZFx6NA9ePZ7Q4GPfPkM0PkREBICpOfGs/fECHr9xCgAr91UAsNU9rq7bqr2Vg16bN1IQkT4pb2ijw+EkyGohLSaUJVMyeed7F3DV5AzCQ2xcMjbF7BJFRLxGemwYc0cmEmS1UFDZTEFlE/klrqXgY8JcY0hW71cQAXXNSB91d8tkxIUR5N5LZkhiBL+7bhKGYahbRkTkBNGhwZw/IpGVeyt5aUMx+SV1ANxx4XB+/dZuNhTW0tLRRXhIYP8qVouInFFze5dn2m52/MkzYxRCRER696WZOQD8be0h9pU3AXD5pHQyYsPocDj51D2QNZApiMgZXf+Xdfy/d/cCkBmnKboiIn21YHQy6TGhtHc5AUiMDCElOpRpQ+IA2FvWeLqXBwQFETmtxrZO8kvqPY+z4sNMrEZExLfYrBZ+tHi05/GkLFcAyXVviVFY2WxKXd4ksDum5Iz2VzR57g9NjOCSMRqUKiJyNq6YlMHYtGheWF/MF6e7duv1BJEqBREFETmtfe5mw7kjEvn7rTNNrkZExDeNSIni55eN9TwemhgJQIGCiLpm5PS6B1eNSI4yuRIREf8xJNE13q6qqZ3GtsDeHE9BRE6re3+ZUamRJlciIuI/okKDSYqyA3CoqsXkasylICKn1T2ie0SKWkRERPpT9ziRgqqmM5zp3xREAlhrh4PS+tZenztU1cx5D35ARWM7ACOS1SIiItKfchM0YBUURALaD/93G3Mf+rDXeeyvbD5CSZ0rpEzLiSMqNHiwyxMR8WvDkl1BZF95YK8loiASoBxOgw/2VNDlNFjl3pDpeOvcq/19/fxcXvjmrMEuT0TE7+WlxwD0WKspECmIBKgDFU20djoA2Hak5z+Ctk4HW4vrALhxZjbBNn2biIj0t3EZriBSXNNKXUuHydWYR79hAtT2I3We+9uK63o8t7W4jo4uJ0lRds9gKhER6V8xYcHkJLim8e5w78wbiBREAtTxTYFHalupbmr3PP60wNUtMzM3XhvaiYgMoLwMdc8oiASoE7tjth/3uHvMyOxhCYNak4hIoOkeJ3J8K3WgURAJQK0dDnaXupoBp2THAvD/3t1LcU0LVU3tbHF31SwYnWxShSIigWFqjmsTvLd3lPHnVQdNrsYcCiIB6D/bj9LR5SQ7Ppz/vjKPuPBgdpU28P2XtvLBngoMA/IyokmL0U67IiIDafqQOG49PxeAh97ZQ21z4A1aVRAJQC9uKAbguulZjEuP4fXbzyfIamHj4Vr+8P5+AC7WLrsiIgPOYrHws0vHkhEbhtMIzFVWFUQCzIGKJjYdriXIauHaaa7tqLMTwrlkrCt4HKl1LWK2KC/VtBpFRAJN9yZ4BZWBt8qqgkiA2XnUNSh1SnYcyVGhnuPXz8j23P/uRSMYnRo96LWJiASqIe7l3g9VB14QCTK7ABlch6tduzx2p+9uc4cn8pVZOYSF2LjrohFmlCYiErC612wKxJ14FUQCTFGN65s8O75nELFaLfz3lXlmlCQiEvC6g8iJG+C9se0oGwpr+MVlYwny01WuFUQCTHcQyTohiIiIiHmGJB7rmjEMA4vFwrbiOr77whYALhqTzPxR/rmkwoDGqyFDhmCxWHrcfvzjHw/kl5QzKD5Fi4iIiJgnKy4cqwVaOhxUNLbT0eXk7pe3ep4/VOW/Y0cGvEXkl7/8Jd/4xjc8jyMjIwf6S8optHU6KGtoAxRERES8SUiQlaz4cA5Xt7DraAMVjW0cPG4GzaFq/x07MuBBJCoqitRUTQU1m8NpsK24DsOAiBAb8REhZpckIiLHmTMskcPVRTzw1m7au5wADE2KoKCy2a9n0wz4yJeHHnqIhIQEJk2axK9//Ws6OgJv1Thv8NPXdnDdX9YBrvEh2sxORMS73PO5USRGhrC/oomimhYSIkL46RfGAMdmPPqjAW0R+d73vseUKVOIi4tj/fr13HvvvRQWFvLUU0/1en57ezvt7cd2gW1oCNxtkfvbC+uLPPejw4JNrERERHoTFxHCb66dyC//s4uM2DC+d9EIMuJcW20U17TQ5XD65cyZsw4iS5cu5f777z/tORs2bGDatGl8//vf9xybMGECcXFxXHPNNZ5WkhMtW7bsjO8tZ6/T4cRmteBwGgBc6Kcjr0VEfN38UT1nxzidBvYgK+1dTkrqWslxL3zmT846iNxxxx1cf/31pz1nyJAhvR6fNWsWAAcOHOg1iNx7773cfffdnscNDQ1kZWWdbYlyguKaFhxOg7BgG6/dfh7DkvzvG1lExB9ZrRaGJESwt7yRwqpmBRGAxMREEhMTz+mLbdnimg+dlpbW6/N2ux273X5O7y2n1r1ATm5iBKNSo0yuRkREzkZOQjh7yxtdU3hH9c97vralhPtezWdydhxLpmRw1eQM08YODtgYkU8++YR169Zx4YUXEhMTw4YNG/j+97/P5ZdfTnZ29pnfQPqNJ4ioJURExOcMTYoEyntM5/2sXt9aQnOHg48OVNHW6WDJlMx+e++zNWBBxG6389JLL3H//ffT3t5OTk4O3/jGN7jnnnsG6kvKKRS4g8jQRAURERFfMyLZtf7WgYqmfnvPvWWNAMwdkcj1081tHBiwIDJlyhTWrVs3UG8vZ6Gw8ljXjIiI+Jbh7iCyv6KJd3aUEhMWwuxhJ4+zBKhr6eDPqwu4cUb2KbfyaGjr5Gi9a3HLx26YQky4uTMp/W8ekJykoMqVohVERER8zzB3EKlqaufb/9jMDU+uY9fR3pe3uPOFLTyx8iB3uveo6c3+cldrSGp0qOkhBBRE/F5BZRPlDe3YrBbPN7OIiPiOSHsQ6TGhPY7d/fJWOh2u1Vf3lzeyp6wBwzBYs78KgK3Fdad8vz3ubhlvmbyg3Xf9zKbDtZQ3tPH58a6ZSW/vKANgzrAEokPNT74iInL2hqdEebpTwBUm1h6sZkhCOJ//wxo6HQbBtp6zXtq7HNiDbCe91z53EBntJUFELSJ+pLKxnaufWMtt/9zMzqP1ALy9oxTAE0xERMT3xBy3Ivb8UUkArN5Xyap9lXQ6XItVdv+326kGt3a3iIxMURCRfvb4hwc891furaS4poUdJQ3YrBY+N04bD4qI+Kpx6dGe+9dOdS30uXpfJesKqgG4upfpt7tLGz33G9s6+eW/d/HvbUfZXFQLwMSs2AGsuO/UNeMnKhvbef7TY/vJrNlfSVKka3G4yVmx2m1XRMSH3XJeLm2dDhblpZIWHYbV4ppFs9/d6nHDjCy+PjeXD/ZUUFLXyvOfFrG71DWg1TAMfvLqDv697Sh87Hq/0alRntk4ZlMQ8RPv7Cilw+EkOjSIhrYuNh2uJS7cFT5mDe19mpeIiPiGkCArd1080vN4cnYcmw67WjasFpiQGUtIkJUxadG8tKGI5z/FE0Te3lHmCiHHuWJSxuAVfwYB3TXT3uWgrdNhdhn94s1811iQOxYMJys+jE6H4RmoOiM33szSRESkn333ohGe+3OGJRISdOzX+bj0GAB2HnXNpFm9rxKAScd1xVw+KX1wCu2DgG0R6XQ4Wfz7NRgGvHPX3F5HFvuKysZ21hfWALA4L43q5g7+vKrA8/yUnDizShMRkQEwb2QS733/Ap5eU8gNM3uujDoyJYoQm5X61k4OV7dwpLYVgC/NzGbJlAzCQ4LIiA0zo+xeBWyLyKGqZgoqmymsambjoVqzy/lMPtxbgdOACZkxZMWHc/uFwz3PhQZbibQHbN4UEfFbI1OieOiaCT1aOsDVjTPGPbh125E6SupcQSQzLpyvzh7CNVPN21emNwEbRPaWHxtNvMrdbOWrtrkXrule8jc6NJhnbp5OlD2In1061sTKRETEDBMzXd0z24rrjwsi3tMKcryADSLdC7oArNrr20Ekv8S1ZsiEjFjPsQtHJ7N96UK+NDPHpKpERMQsEzJjAfhgTzkdXU6sFkg9YXVWbxGwQeT4FpG95Y0cdSdGX9PR5WSPe674BHcC7maxWHp7iYiI+LnuFpFD1S0ApMWEEWzzzl/53lnVINhX3nPFuZ2n2EDIW7R0dFFQefIqefvKG+lwOIkND/baZjcRERlcQ5MiiT1uQztvGpx6ooAMIq0dDg5VNwOQl+Ea0FPb3GFmSWf07X9sZsFvV3nGg3TbfsTVLTM+I0YtICIiAoDNamHBqGTP4wwv/kM1IIPIgYomDAPiI0IYmexaa7/6DEFk+5E6VuwqH4zyetU9D/yZjwt7HM8vqQNcQURERKTbxWNTPPfVIuJlCt2tISNTIj1Ln9e2nD6IXPn4x3z9uY2s3Fsx4PWdqKm9y3O/vrWzx3PdLSInjg8REZHAdsHIJM99q9V7W8wDMohcPjGdbT9fyMNXTyQ+0hVEqps6cDoNvvfiFn7x+o4e53c6nDjdmxr+9eNDg1wtFLkHGwEcPu5+W6eDve7ZP+PdI6RFREQAIu1BXDs1k2CbhSu8aCXVEwXsSlcx4cHEhAeT4G4RqWlu51B1M69vda3H/7XzchmSGAG4Qkq3tQeqqGnuGNRN5IpqjoWPgqpmGts6iQoNZk9ZI11Og4SIENK9dFqWiIiY54El4/nF5eO8emHLgGwROV73xnA1LZ2eRV8AVuw+Nh6kqqndc7/LabB8V9ngFQgU1TT3eLx8VzmGYZB/pA6A8ZkaqCoiIicLtnn/6toBH0QSIo+1iBy/lsj7u4+NBak8LogAFFa1MFA6upx0dDk5UtvCd1/YwoGKxh4tIgB3v7yNLz/9KZ8UVAMwQQNVRUTER3l3TBoEnhaRpg5K6to8xzccqqG+tZOYsGCqGnsGkeKagQkihmFw7Z8/oaqxnaQoO1uL61ixu5yp7k3rLh6TwvrCaprau/j4QLXndRofIiIivkotIhF2AJo7HBRWHesC6XIanj1oqtxjRKJCXbntxBaK/nKktpVtxa4Nira61wtp6XB4Bqjeen4u25d+jtdvP5/EyBBsVguzhyZw3vCEAalHRERkoAV8i0h0WBA2qwWH02Cne8+WjNgwSupaeX93OZdPTPeMEZmSHceqfZVnFUTKG9qICw8hJKj3zNfa4WBveSMTM2PY4f76J+r+ejkJ4YBrTMhHP1oAQGiwrc+1iIiIeJuAbxGxWCye7pkCd4vIjTOzAVi5t5Iuh9MTRCZnxwKutTzqWzpPfrMTvL61hNnL3ufH/9p+ynN+8mo+Vz7+Mf+36Yhn87re5CZGkBp9bGZMaLBNIURERHxewLeIACREhPSYGXPZhHSeWlNAbUsn6wtrPM9lx4eTGGmnqqmdopoWxof3Pkj0p6/l878bj9De5QTglS0l5CZGsLmolq/OGcKFxy27++qWEgAefncvo1OjTlnjzy4d49UL0oiIiJyLgG8RAXqsCWK1QFpsKJe4l8b9/stb2XCoFoCkKDvZ8a5lco/vnjEMg4pG10DXupYOXlhf7Akh3X67fB8f7q3ka89s4L2dJ0//rWxsP6lFJNIeRHRoEFdNzmDB6JSTXiMiIuLrFEToGURSo0MJtlm5Z9FoRqZEUt7QToc7VCRG2smOd43TuP35zXywx7XWyP9tOsKMX7/Pva9s5638MhzuZVgfuGo8103LOunrvZVfCkCXo2dYqTuhu+f84Yls/flCHvnixH66UhEREe+iIAKkHDf2IssdNBIj7fztazM4vjfk+CACcM//bccwDJ5fXwTAC+uL+cmr+a7nFo3ixpnZXDUlw3P+dxcMB/C0sJy4PgnAjCHxRIS4xn4MSYzAarVosTIREfFbCiLALecP4abZOVw/PYt7Pz/Gczw9Noy5I45tGhQfEcLVUzM9O91WNXWwu7SR/CMnDzK9bIJrXf/pQ+L54rRMvn5+Lt+cNwyb1UJJXStH61oprW876XXfmjeU4cmRAAx1LzEvIiLirzRYFciMC+f+K/J6fe6/PjeKVfsqGZ0ahc1qISchgn/feT6X/s8adpQ08PjKA3Q5DYYmRfDHL03h/d0V5CSEe1pWbFYLD19zrGtlbFo0+SX1bDxcS1Avg08XjE7GYoFXtxzlc3mpA3PBIiIiXkJB5AzyMmJ4/wfziDphrf4JmbHsKGngze2u8R4LRiUzOjWa0anRp32/aUPiyC+p57svbPEcO294AjkJEXx1dg4Wi4UFo1M0OFVERAKCumb6YFhSJMnRPXe3nZjZc+ru4vFpfXqvReNObuUYmxbNA1eNP2OIERER8TcKIudownH7u8wbmeTZD+ZMZg5NYPPPLiEjNsxzLDUm7DSvEBER8V8KIudoRHIkie6de3+0aPRZvTY+IoRbzs/1PE6PCT3N2SIiIv5LQeQcBdmsvPSt2fznzvMZm372XSqLjhuImhhl78/SREREfIYGq34Gw5Iiz/m1GbFhfGVWDvsrGpmQ2ftS8SIiIv5OQcRE/31l71OGRUREAoW6ZkRERMQ0CiIiIiJiGgURERERMY2CiIiIiJhGQURERERMoyAiIiIiplEQEREREdMoiIiIiIhpFERERETENAoiIiIiYhoFERERETGNgoiIiIiYRkFERERETKMgIiIiIqYJMruA0zEMA4CGhgaTKxEREZG+6v693f17/HS8Oog0NjYCkJWVZXIlIiIicrYaGxuJiYk57TkWoy9xxSROp5OjR48SFRWFxWLpt/dtaGggKyuL4uJioqOj++19vVkgXjPounXd/i8Qrxl03d5+3YZh0NjYSHp6Olbr6UeBeHWLiNVqJTMzc8DePzo62qs/yIEQiNcMuu5AE4jXHYjXDLpub3amlpBuGqwqIiIiplEQEREREdMEZBCx2+384he/wG63m13KoAnEawZdt67b/wXiNYOu25+u26sHq4qIiIh/C8gWEREREfEOCiIiIiJiGgURERERMY2CiIiIiJgm4ILIH//4R3JzcwkNDWXq1KmsWbPG7JL6zdKlS7FYLD1uqampnucNw2Dp0qWkp6cTFhbG/Pnz2blzp4kVn5vVq1dz2WWXkZ6ejsVi4bXXXuvxfF+us729nTvvvJPExEQiIiK4/PLLOXLkyCBexdk703XffPPNJ33+s2bN6nGOr133smXLmD59OlFRUSQnJ3PllVeyd+/eHuf44+fdl+v2x8/7iSeeYMKECZ7FumbPns3bb7/ted4fP2s483X742d9vIAKIi+99BJ33XUX9913H1u2bGHu3LksXryYoqIis0vrN+PGjaO0tNRzy8/P9zz38MMP88gjj/DYY4+xYcMGUlNTueSSSzx7+viK5uZmJk6cyGOPPdbr8325zrvuuotXX32VF198kY8++oimpiYuvfRSHA7HYF3GWTvTdQMsWrSox+f/1ltv9Xje16571apV3H777axbt47ly5fT1dXFwoULaW5u9pzjj593X64b/O/zzszM5MEHH2Tjxo1s3LiRBQsWcMUVV3jChj9+1nDm6wb/+6x7MALIjBkzjG9/+9s9jo0ePdr48Y9/bFJF/esXv/iFMXHixF6fczqdRmpqqvHggw96jrW1tRkxMTHGn/70p0GqsP8Bxquvvup53JfrrKurM4KDg40XX3zRc05JSYlhtVqNd955Z9Bq/yxOvG7DMIybbrrJuOKKK075Gn+47oqKCgMwVq1aZRhG4HzeJ163YQTG520YhhEXF2c89dRTAfNZd+u+bsPw/886YFpEOjo62LRpEwsXLuxxfOHChaxdu9akqvrf/v37SU9PJzc3l+uvv56CggIACgsLKSsr63H9drudefPm+dX19+U6N23aRGdnZ49z0tPTycvL8/n/FytXriQ5OZmRI0fyjW98g4qKCs9z/nDd9fX1AMTHxwOB83mfeN3d/PnzdjgcvPjiizQ3NzN79uyA+axPvO5u/vxZe/Wmd/2pqqoKh8NBSkpKj+MpKSmUlZWZVFX/mjlzJs899xwjR46kvLycX/3qV8yZM4edO3d6rrG36z98+LAZ5Q6IvlxnWVkZISEhxMXFnXSOL38vLF68mGuvvZacnBwKCwv52c9+xoIFC9i0aRN2u93nr9swDO6++27OP/988vLygMD4vHu7bvDfzzs/P5/Zs2fT1tZGZGQkr776KmPHjvX8QvXXz/pU1w3++1l3C5gg0s1isfR4bBjGScd81eLFiz33x48fz+zZsxk2bBjPPvusZ2CTP1//8c7lOn39/8V1113nuZ+Xl8e0adPIycnhzTffZMmSJad8na9c9x133MH27dv56KOPTnrOnz/vU123v37eo0aNYuvWrdTV1fGvf/2Lm266iVWrVnme99fP+lTXPXbsWL/9rLsFTNdMYmIiNpvtpHRYUVFxUsL2FxEREYwfP579+/d7Zs/4+/X35TpTU1Pp6Oigtrb2lOf4g7S0NHJycti/fz/g29d955138sYbb/Dhhx+SmZnpOe7vn/eprrs3/vJ5h4SEMHz4cKZNm8ayZcuYOHEiv//97/3+sz7VdffGXz7rbgETREJCQpg6dSrLly/vcXz58uXMmTPHpKoGVnt7O7t37yYtLY3c3FxSU1N7XH9HRwerVq3yq+vvy3VOnTqV4ODgHueUlpayY8cOv/p/UV1dTXFxMWlpaYBvXrdhGNxxxx288sorfPDBB+Tm5vZ43l8/7zNdd2/84fPujWEYtLe3++1nfSrd190bv/usB314rIlefPFFIzg42Hj66aeNXbt2GXfddZcRERFhHDp0yOzS+sUPfvADY+XKlUZBQYGxbt0649JLLzWioqI81/fggw8aMTExxiuvvGLk5+cbN9xwg5GWlmY0NDSYXPnZaWxsNLZs2WJs2bLFAIxHHnnE2LJli3H48GHDMPp2nd/+9reNzMxMY8WKFcbmzZuNBQsWGBMnTjS6urrMuqwzOt11NzY2Gj/4wQ+MtWvXGoWFhcaHH35ozJ4928jIyPDp6/7Od75jxMTEGCtXrjRKS0s9t5aWFs85/vh5n+m6/fXzvvfee43Vq1cbhYWFxvbt242f/OQnhtVqNd577z3DMPzzszaM01+3v37WxwuoIGIYhvH4448bOTk5RkhIiDFlypQe0+F83XXXXWekpaUZwcHBRnp6urFkyRJj586dnuedTqfxi1/8wkhNTTXsdrtxwQUXGPn5+SZWfG4+/PBDAzjpdtNNNxmG0bfrbG1tNe644w4jPj7eCAsLMy699FKjqKjIhKvpu9Ndd0tLi7Fw4UIjKSnJCA4ONrKzs42bbrrppGvytevu7XoB45lnnvGc44+f95mu218/71tuucXz8zkpKcm46KKLPCHEMPzzszaM01+3v37Wx7MYhmEMXvuLiIiIyDEBM0ZEREREvI+CiIiIiJhGQURERERMoyAiIiIiplEQEREREdMoiIiIiIhpFERERETENAoiIiIiYhoFERE5JzfffDMWiwWLxUJwcDApKSlccskl/PWvf8XpdJ50/sKFC7HZbKxbtw6AQ4cOeV5/qtvSpUtPe173e4mI79LKqiJyTm6++WbKy8t55plncDgclJeX884777Bs2TLmzp3LG2+8QVBQEABFRUWMGzeOW265hZaWFp588kkcDgeVlZWe9/vNb37DO++8w4oVKzzHIiMjqaqqIjc3lxUrVjBu3LgeNSQkJBAcHDw4FywiAyLI7AJExHfZ7XbP9uwZGRlMmTKFWbNmcdFFF/G3v/2Nr3/96wA888wzXHrppXznO99hxowZPProo0RERHheC67QERQU1OMYQFVVFeAKHSc+JyK+T10zItKvFixYwMSJE3nllVcA13bmzzzzDF/+8pcZPXo0I0eO5OWXXza5ShHxFgoiItLvRo8ezaFDhwBYsWIFLS0tfO5znwPgy1/+Mk8//fRZv+ecOXOIjIzscXM4HP1ZtoiYQF0zItLvDMPAYrEA8PTTT3Pdddd5xovccMMN/Nd//Rd79+5l1KhRfX7Pl156iTFjxvQ4ZrPZ+q9oETGFgoiI9Lvdu3eTm5tLTU0Nr732Gp2dnTzxxBOe5x0OB3/961956KGH+vyeWVlZDB8+fCDKFRETqWtGRPrVBx98QH5+PldffTX//Oc/yczMZNu2bWzdutVze/TRR3n22Wfp6uoyu1wRMZlaRETknLW3t1NWVnbS9N1LL72Ur371q0ydOpVrrrmGvLy8Hq/LycnhRz/6EW+++SZXXHFFn75WdXU1ZWVlPY7FxsYSGhrab9cjIoNPLSIics7eeecd0tLSGDJkCIsWLeLDDz/kD3/4A6+//jpbt25l27ZtXH311Se9LioqioULF57VoNWLL76YtLS0HrfXXnutH69GRMygBc1ERETENGoREREREdMoiIiIiIhpFERERETENAoiIiIiYhoFERERETGNgoiIiIiYRkFERERETKMgIiIiIqZREBERERHTKIiIiIiIaRRERERExDQKIiIiImKa/w8Q9FV24DtrgQAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ser=df_tmin[~((df_tmin.index.month==2)&(df_tmin.index.day==29))]\n",
+    "\n",
+    "bk_bar1 = (ser['DATA_VALUE']/10.).groupby(ser.index.day_of_year).mean().plot()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "It's easy to create basing plots using `pandas_bokeh`, but you can also using the `bokeh` interface to make plots similar to a matplotlib-type plot.  Here, let's show the maximum temperatures for 2022."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='DATE'>"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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334wzzzwTs2bNKvvxV199NY488kg8/PDDOOmkk2q+f+XCKCsGBjMA/ZKyslEKUZup8EuvBeRuoLx7mePXt7tzgYYncvjLi3047Gt/wU8fV817ACvLyMrKAFdWmOK0pKsRjXH2vKkalIHk9/vnT2zGiq/fg2/8/qWqtpWSlJXBiRx2SKTrlb79h6zIJa/dEhE3mH6ce+65eOyxx7Bhwwbccsst+NjHPlbR4w899FB89KMfxaWXXlqnPSwPRlkxMNjDmMwVlBX43kBWUtpcIIIet0+XLYkoH2I4nM7i0z9dAwD4yl0v4Lw3LFK2MTqZV076/WPsZLexnykgizsbQaJHLVqX5RyY1ZtY4urvnt2Or559aMXqilwGGk5lFdL1TO8w8gUbkfC+v0aU/3+7x/YishJtYArHnnruOqCzsxNnn302Pv7xj2NychJnnHEGxsYqI85f//rXceCBByrdQtMNQ1YMDPYw+rWV56a9gKzwtmWPssIOKSOawbY1GZXKQMKzEot4T9xkriUMTGRQsB30DrLrl3Q18tV6LTwrG3ze7/7xLLYMprCoszJZPp0T+zOUyiqvJZ0r4OW+MRw+r9XvofsM5LZ2wPv5ntGwrLqUYvY0Pvaxj+HMM8/EpZdeinA4XPoBGhYsWIDPfvaz+PKXv4xly5bVYQ9LY9+n+AYGMxxyCQgAnto8hA/+8DHsHJ0MeMSeR9olCbqyQp6VVLaAXMEWnpVkhCsrr0nejaVd3hPDjmH1dfePZ7F9OI1swUYsHEJPW5J7VlIVelZe6RvDeTc+gbVbxMwaUmx0yPcpF+ms8GoMpXK8BZswnbNy/vfB9Xj7/zyEc37wCF7YNjJtz6un1u5Vyso+ine84x3YvXs3vvGNb1S9jcsuuwzbt2/HfffdV8M9Kx+GrBgY7GFQmeOA2U38ZP/4hkHc9fTM7R7h6bUaWZFbVscn88Kzkoj65qzYPh0Q2zVlpX9MBKzNa08iHLLQ5Mb6j1VYBvr9c9vx8Gv9uGPtVgCsBEcdQGcdMRcAcKAbOFcNsUhrOSu6SvTKNJlsHcfB9/76Gl7ZOYa1W4bx22em77OU1lq0dTJuMP2wLAtdXV2IxWJVb6OjowOXXnopJif3zCLKlIEMDPYwBiYYWVnQnsTPP3E8fnD/67j1sc0zemItKQh6GSgSDiERDWEyZ2M8kxeelWQUizob8daDZ+OvL+/i95cHHhJIWWmMhTGRLaB/IssD1joa2cGWSFE2byOTLyAeUfcjyBtCXgq63DKYguMAzYkI/vv9K/DFtx+El3eM4p9/vhZrNw+X9V4UbAej6RySsTBXnABGysizcsyidjy1eUgx3NYTo+m8MuRxOscS6GRl99jMVQj3dlxwwQWBabLFMoPa2to8t5f6G2Dqyp5qYzbKioHBHgatPLua4uhuSeBdR7HWybVbhmbsYMNUQBkIAC/RTGTznIxQl9Dn37Zcua888JBAJ/jDepi3o38sw9UY6iiSFRw9xXZT/wSO+sa9uPpP6zzbzuTZfckIS23LS7sakYiGsaSrESsXtQMAXu4bLRk6ly/YOPO6h3H0f9yLo79xr0Iwh1NZ3oK9yt2mbLitJ3R1ajqTftOaj8goKwa1gCErBgZ7GFTT72yKA2An6WjYQv94lptKZxqCWpcBEbU+kSkoOSsAcOT8Nnzk+IXodBUS8rbI2OWuxClrpn88w7NZyKQbDllodInSmEZ4nto8hPFMHg++sttnv9lz0eqfzLVLZ4n48e6WBDoaY7AdoHeoeEDfjpFJXtpJ5wr4++titlPedrDe7TQiArR9mpQVvfw0nVOgZd/OdD+3wb4LQ1YMDPYwKEekq4mdiBPRMO8YWbNlcI/tVzEEeVYAmayoZSDCN997BJ68/G3871FtCjOtxA925/8MSmUgUlYACN/KpL6SzyjbkUEkK8WVFRE0J4OmOpdSQvTbg1SElQsZWRmdzE/LyVs39k5nGUgfF5ErzEx10GDvgiErBgZ7GGSw7XKVFQBY5Z7c6uFbyeQL+MpdL+DXq3ur3kYqIMEWAFc8FLKSiCr3CYcsNLukZjSAbBzokpW87WDTAFM4SFkBgGZ3mzpZGXAfPziRgW2rJ0pSVoi0bOTKikZWWhlZ6StJVkorJe0NUcxqjvPXW85jpgra7/ntSQBq7km9Idra2enFzAYyqAUMWTEw2MOgEkd7ozgRU9mgXJNnJfjve17FTx/fjEtuf67qbZRVBsoWlJwVHaS2jEjKim07fJZMT2uStzu/snMUgDDYAsK3oqsGpG7YjnhvCbpnZWN/gLJSJlkpp72cSkxz3UGOuupRD5Bn5YDZ7LmnsxRDnw0ik/m9gKzMVG/YvoBavbeGrBgY7GFQsJlsGl0lmTxrKeFP5gr44UMbprwdrqz4lIE4iZjMSWUgb+Nhc0Kd0AwAw+kcCq4a0tEYw9xWpgyQd0cuAzXzMpBeRspIv2eVg6VcBhpOZTkxCioD+ZEVeXtUBvIzGhMuOHEx26b7WkoRoFqAOqqWu2RlestA7D0mn9JMLgNRQFo2a0zA9UIqxVTRaNS7YKkEdW1dvuGGG3DDDTdg06ZNAIDDDjsMX/3qV3HGGWcAYF/6r3/96/jhD3+IoaEhHH/88fj+97+Pww47rJ67ZWAwo0CdGjJZ6W5JYF5bEtuG03i2dxhvPKCrJs9Vq8m/6SJkheb29I1m+CBZvQwESHOEJLJBJZzWZBSxSAhzWxNYt2OU366WgfyVFTmE7Ka/b8SfX+zD9z+8Em9a3oVMXpSByFw7tzXhGahIysoOTTlJZws4+3sP49CeVnzvQ0dzZeXA7mY80zvseY0AcKab39LjblPv1KkHdmjKyp4oA9H/N2fbcBynqsGQ9UYkEkFDQwN2796NaDSKUMis32sFx3GQSqWwa9cutLW1VZWcK6OuZGX+/Pn41re+hQMOOAAAcOutt+Ld7343nn76aRx22GH49re/jWuuuQa33HILDjzwQFx55ZU47bTT8Morr6C5ubmeu2ZgMGNAJ1t9db5qUTu2DaexdvNQzcjKU5tUw261s2rohOSnKNCJn06YsUjIk8cCSBOapawVitEns/HcVnVab3uDtwzk8axMiFXy7Wu3Im87uG/dTrxpeZeirJC5VverAEJZ2ampIC/3jWL97gkeJEfKykEaWTn5wFl4essQvvehoxEOWe5rYcqKntBba8iDIA+YzY6jE9n8tBGGNFdWou7+sCyaSHjmkRXLsjB37lxs3LgRmzd7h2oaTB1tbW2YM2fOlLdTV7Lyzne+U/n7m9/8Jm644QY8/vjjOPTQQ3Httdfi8ssvxznnnAOAkZnu7m7cdttt+PSnP13PXTMwmBHIFWxk3dW+rKwAwMqFbbj72e1YU0XsexD0OTiTeRtN1ZCVIgbbJm4kZSdMP78KIE5msmdFzpwBgJ62pPIYtQzkNdjKnheAmXMB8brl1mXKWNFLQIAgSboZlko4mbyNyVyB/01mYMK5xy/ErRceq5AD7lmps7IyOJHlCtIBrl/GcRhBa4zX9ZAPQCIr0v89bzuITG1hXTfEYjEsX77clILqgGg0OmVFhTBtCbaFQgG/+c1vMDExgRNOOAEbN25EX18fTj/9dH6feDyOU045BY8++mggWclkMshkhMw7Ojrqez8Dg70B8mwb/USyalEHAGDt5iHYtoNQSJz48gUb19z7Kg6a04x3HzWv7OfbNKCSlXS24CFJ5SBokCEgXged6Mm7oIN8LH5lICIrurLS5qOsjGfE44dSWe55kbGJkxXxflN5aWlXk+f+3e7zsgnQea4W9UlloZF0DrvcktNB3SpZScbCHhWjh5SVOntWaPtdTXG0JCOwLEZWJrL5upGVNZsH8f3716NgO7w0Jv/fcwXb97MyUxAKhZBIJErf0WCPoe4Fuueffx5NTU2Ix+P4p3/6J9x555049NBD0dfXBwDo7u5W7t/d3c1v88PVV1+N1tZW/rNgwYK67r+BQT0x7ppro2HLM4H44LnNCIcsjE7m+UmRcNMjG/GDB9bj8798puznGprIYjilmlEnc9V5GWg7zT5EhDwrVO4opayMKsqKXgYSykpTPKK8R80+OStyCUjG1qEUsq4aQnjdVVZoZpGM5niEt2DLhlj59/W7x1GwHYRDlqeU5Fce625hBKzeg/2ILMxpjcOyLJEoXMcU22vvew1/e3kXHnx1N17uYyF5zZJPaSabbA32DtSdrBx00EF45pln8Pjjj+Of//mfcf755+Oll17it+urj1J11csuuwwjIyP8p7e3+qwIA4M9jZTrV/Fb8UbDocCOlx8+tLHi59roqipzWhK8nFINWZnMFXgpY1Gnt4RCJ0cqwXRK+TEyuGdFIhv9Y3oZSKx22xpU0sMNtsrj/YmA7bA5QJN50Ua7c4Tdt73RS6Ysy/JtX5aVlVfdk/Ls5rjipQH8FScKsZvI5OvaKkuEb5b7HhJ5rFf7csF28PSWYc/1TfEwSAzcG9qXDWY26l4GisVi3GB7zDHHYPXq1bjuuutw6aWXAgD6+vowd+5cfv9du3Z51BYZ8Xgc8bj/wc/AYG8DmWsbY/5fxeZEBMOpnDJd+NWdY0p7brmgUsjirgZsGUhhCDnu4QDYSfnedTthATj9sG7MbvaXxfnwv3iEx+bL0IlXVwBZ8ctZoaGOXc3sMd0tYh90QtAU93pWdhd5Xzb2T3B/EABk3ROoX6cSwDqC1u+eUAiKXMJ5Zec4v18iGkI0bHEFQe8uAsT7krcdZPLll0UmMnn84bkdSGXzeOMBXVjeXbz5gHw/nZysRABkqiYrD7+2Gz1tSSyb5S2XAezzOJ7JIxENIZu3QVW4RDSMSJhdlzVkxWCKmPY+LcdxkMlksGTJEsyZMwf33nsvvy2bzeLBBx/EiSeeON27ZWCwR0DSPK1+ddAJWVYP/vDcDv57rAJz7CYpAI1OlPKE3P/vjufwlbtewL/f9QK+fvdLvtsARJDa4q5GXxVUfy2zmvzH0rf45KzsphNtoxg9QL+3a8SIq07SSZhO1PM0Yy7ATqq++xFQpiKiJJMVOQTuNXd7c1oSsCxLKXf5GY8bpOsqaSX+0cMbcMntz+GK372EC25eXVKV6dd8P/JgyUqxZvMQzrvxSbz1vx8seh8AOGZRBxZLSltDLMI/n3lTBjKYIupKVr785S/j4YcfxqZNm/D888/j8ssvxwMPPICPfOQjsCwLF198Ma666irceeedeOGFF3DBBRegoaEBH/7wh+u5WwYGMwbjRcpAAHhEu6weyEpEzi5/xbrBh6xQGShfsPHkRtHW/ML2kcDtBKW+EvTXElQGKpazQsoKILpo2rUyUFPCa7Clxx8yV6gPlHr70g5/M36Qp4aUnBHXnyO3BAPMswKwMhCgKjR+ZCUSDvEI+kpUjhe2if3eNpwuOdxSdFSx/SfyOF6FZ+Wv63aWvM9at1tt5aJ25TORjIV4u7KJ3DeYKupaBtq5cyfOO+887NixA62trTjyyCPx5z//GaeddhoA4JJLLkE6ncZnPvMZHgp3zz33mIwVg/0GKZ/0WhnNPidkiowHRIZFOFQ6w4I6gRZ3NvKTJikrL/eNKav93sEUMvkC4j79ppskZcUP+msJKgPpOSuO43j8FgAz2b6wbdRTBmrxMdjyuULdzbhv3S4AwKkHzsIdT2/Dyz5kJRYOIR7xX7O1amWq4VROKSMNuSSGXl+zrKwEJNo2xSOYzGUrSpSlFmvCmi2DWNjpNQX/enUv0rmCp6OK/h+pTB7DqSyuve81nHfCosCyjgzKkymGta6ysnJhm0LCktEIomGaD2SUFYOpoa5k5cYbbyx6u2VZuOKKK3DFFVfUczcMDGYsJkp4VvwmC2dy6io1V7ARDpX2P9BMmgUdDR5l5Wl3dXzS8i48s2UYY5k8Ng+kcKCPP0IoK94TJuCnrPiXgYh8DKeyyBdsN7uEvTZ5BtCB3U2496Wdnq4duURGpREKZls2qwndLXEMjGfxtkO7ccfT2/h+y2Ctvf5Er1VTfoJajru4ssJedzhkIRoQgMa8LFnPZOIg5Ao2tgyyuPKzjpiLPzy/A2s3D+O9R89X7rdh9zif9URG5C7Fs8JUvBv/vhG3PLoJfSOT+N/zVpV8/q1DqaK3v7pzDJsGUgiHLBy9sB29ErlJxsKIuiQ6X4ECaGDgh2nLWTEwMPCCpPmGAM+KX3vuZF6V8/M+uSK+z+VuoyUZ5WUKIj5r+Oq4HaOTeTzbO4z1u8ZLkBX/lXmjpioEKSuzm+NIREOYzNnoHUrzE3wsElJaf//51AOwYn4bTj5wlvJ4em/ytoPJnI3nt43g1Z3jSEbDeNuh3ThyfitG0jlOOvzepiBzLeBVVoKGFpIKRPdviHozVgiCOJRXktk8kELedtAQC+OMI+bgD8/v8J3E/fMntvDfqa28q5kRvgapdfmpTeyxa7YMlZVoK5MPv/v/7HGW+nraId1oTUaxVC4DRcOIRszkZYPawAxCMDDYgyhVBuLqQSaPxzcMYNfopFdZyZc+EcgdGU2xiMdgSym5qxa1Y5l7wlmvlR8ApgRR5ssSn7ZlwKuszAogK6GQxQ2ZG/vHMTTBTrIdDTHlpNgUj+D0w+Z4umcaYmHQ3cYyOX7ifPdRPWhNRrG8uxnHLO4INNACweZadht7HURWSior7rYSRYYaNmltxC9sGwk0/gKiBLR0ViOOXcxCAvXhlulsAb95yhvh0NlIZSD2nKOTOa487R7LlCzx2LajZMLopZzxTJ7PmjrvhEUA1NJgLBJCJGT5PtbAoFIYsmJgsAdR0mDrqgd/fqEPH/zh43jrNQ/yKHVCOSZbuezQEA8rZaDhVJabNo9a2IZl7vA7mp0jg0oSbQ1RtDb4n+ij4RAPb4uGLd+JywTyTWzYPYGhVJZvuxxYlsVJ3ms7x/GnF1iX1LlvWKTcL8hACxQnK0HKih74Nksz2PqZawlC5chjYDyDs7/3d5z+Pw/5pu4CwHqaX9TVxIdb2g7wrDSH6Pa1W5WsGgAIWaKURp+tNZuHlO4vP4VGhj4WQG8//s1TvRjP5LF0ViNOXNYJAJgrtZpHQpbkWTHKisHUYMiKgcEehPCsFC8DbRtmJ46xybxisAXKawslUhSLhBCVulLSuQJfPbc1RNGSiGLZrGBlhUoMfvkqMuj1dDbGi5YaqHtkQ78gK7qRthiIIHz7zy8jV3Bw/JIOHD6vVblPPBIKbPEOGgUAeA3A9B7qbdH0XhAp80uvJRC5msjksVYKUgtKtSVlhUjdykXtAISpNZu3ccMD6wGICcsAIypkuiY/lD4Vem2JmVPrNbKakYjOZK6A/32QPe/H3riE/49DIQvf+Ycj8ZlTl+GwnhZOVkzrssFUYciKgUEZ+OPzO3DLI5WnxpbCRJZyVoLKQN7rdWVFPxGksnl85y8v44Vtov2Y8lxoe0murNh88B+RhKWS2qFnetAJu6mI10N+PeSbCALF1G/cPYEh2g+fRNkg0Ot5dit7rZ9/23LPfSwrWN0pWgZKCIOtbTtcnZojzStqSYiSGt2/WNgbT5PNFvBMryALuopRsB1cc88r+M2arQCAZbPZ+7RyYRsAVra7+ZGN+MRPnsK24TRmNcdx2RkH88dTCYg9p/raD3aHLpZSVtbvUsmqrKz85qle7BzNYG5rAv94jGr2/cdjFuCSdxwMy7JM67JBzWDIioFBCRRsB1/49TO44ncvKdHrtcBEyTKQ92Tq8axoZaB7X9qJ79+/Htfc+6p4niw9DztZymUgasGlHJNFblvsWCavTDAGROx/MUUCECRCPmn6QSgr49J+lK+szJXi+I9b3IETlnb63i/ISFtOichx2HtBrd3ycEU5D2ZeO1NcaAaQH+Qy0NrNw/x6mqNEeGz9AL77t9f534fMbQHAPEUA8Mjr/fj6717CQ6/uBgD80ynLcLB7H7Zf4j3UQ/o+edJSAGyQY7G8l8c3DCh/y23bv31mOwDgUycv9W1vJ5jWZYNawXQDGRiUQP94hrfU7h7LKCvrqaJk67IPidG7gfRVK5UUBqToef15KAeEPCuAIAnxSBjtDVEMpXLoH88qoW5cWSkxvZdKIUGdQASaeLxzNMNLXZWQlf949+H4y4ts8Ok7V/QElpyCFJRi3UCJaBjxSAiZvI3RdI6rU3Ok4Yqyefjk5bPw3Q8djWNcQuEHet9G0jmlLLNDU1bIGwQAP/roMbwMdMjcFt5BBQDHL+nAOSvn4R9WLYAF8P2V33f5s9XTmsC7j+rBf9/zCraPTOLZrcM4cVmXZz93jKRxnxYIJ5MVChg8bklH4GsFwDu8TOuywVRhlBUDgxKQu0CG0/5TfatFqbh9v6nG6Wxxzwp5P+SkW13BoSC0tKSstEkkgU52FLK2c3QSr/SN8RbqUmSl3DJQa0OUez7IQ1GuwRZgmTGfOGkpPnHSUmWOkI5AslLE/Cs/biSdE2WgFn9lJRyy8K4VPejxifonBJldt2vKSp9LXj5y/EKcdqiYlRYNh3Dk/Db+96VnHIwPHLsQ4ZCFUMjiqphCVqT/1YePX4hIOOTxvuj4xRNbYDvAG5Z2cKWIyo8jqRxX3BYHdITJ+wuoRMfAoBoYsmJgUAI7hsWql07stcJEmQm2Mka1Ccy6skL7KHeICFLEtqeWgUhZESd0CnIjsnLejU/grO8+zDNW/MpTMugkH9S2LIOXglxDZyXKSrkIKlsVU1YA2WSb42WgriZhXi3n9ckgUvpyn9qurCsr212C7Ed8qBR0WE8Ljl7QptxGStUsiUTJn633H7sAAMvTAfx9K47jcK/MuW9YxDu7iKzQ9O7ZzfHA8iUhEnINtmVmARkYBMGUgQwMSmC7rKykaq2sFPes+JaB3BJAJGQhbzueEwHNshlN53iQF/esuOWZJM9ZsSVjq5+ykoXjOFi/ewIF28E6N7K+qYRn5YITFyNkWXjnip6i9wOYyfYp6aRZicG2XMjKCpVKgOKeFfn20UmhrDTGI2hJRDCUyimkoBzo5b55bUlsG057MlyIvMz1KTleeOJi9A6m8ImTlnrKXp88eSkiYabwEA6f14KPv2kJDupu5pO0ifA83TsM23YQksY1bB1i+xMJWXjbId249r7XAAh1ZFOJ2VAyosZga1AjGLJiYFACsrIyXGtlhRSPEnH7fmiMRzCSzvkoK4x85G0H6VwBDbGIJ8/F32DrXwYanczzHBDyUpQy2B67uIOHmJWCnoRbD2VFJiXtDTE+SblYN5D8uBFJWWmIhdGaZJ6eroBRAkHQSemqRe3ucMIUfvzwBpxy4Cws727mhls/f9TslgSu//BK3+2vWtTOiQjBsix85exDlesO7WHel+FUDpff9QI+9sbFSETD+OPzO/hrPmxeKxLRMG/7pm6gUoMsZRiDrUGtYMiKgUEJ7JBi1odqqKwUXDIBBHtW4pEwYpGQb82/iZMV3bMiCNVIOoeGWAQpvXU5xk4ik7kCbJeIyGUgOgn3j2UUNalcz0oloPZlQn3KQBJZaZTISgnSRberZCWC7pYENg2ksKDdfz5SEPT3beXCNtz97HYMTGRx5R/W4RdPbsF9XziFKy09rcH+l6kgGg5h5cJ2PLp+AL94cgsGJ5iJ/EG3uwgAVrmlIioD0WdwY4lBljKodTlvlBWDKcJ4VgwMSqBeysqElCpbrPbfXMLPop8IRiRyoQeaUZdOIiKUlUGeHOtVVgYmsr4+nVKelUqwtGsayIpkpO2Qykxll4HSeV4GaoiF8c33Ho5vv+9IvCGgVToI+gyow+e18kh6gAWxjaRznMTWsvNMx1XvPQKHuu3OA+NZhagAolSkkxV5encpxEyCrUGNYMiKgUEJ7KiTZ4XUjnDI4t05fvAz2QKCeBRTVsiMq3tjaH5NOlfgBEz2ishlID81qZRnpRIs7GwAna9DVvDrnQpkZUUmZaVIF5GVoVSWe4Ua4xEcMLsZ7z92geL1KAe6stLTlvR4jig5uLMxVjRgbqpY3NWIL595CABGZo92A+cIKxexv+PcYFuA4zhcWdEVMT+IUDj2GrcOpTzZPTMBu8dE6/yWgZQye8lgZsCQFQODIsgXbGXabi27gcalqP1ikfR+xIBi8wE1w2IyV1BaYkfd9mW964iUlXTWm7MCiG6ggfEsN+Aq+1TDMlA8EsZ8t5zS3hCrmACUA1lBoVbphliYqwZBIE+LHAZYLE6/FGQFLWSxjpqw9nofW8/C2OTAu3qhSZrqLbfEz21NYK5bgopJ7cdDqRwvBS7sKF0Ck2cDDaeyeNN/3o+V/3FvTV/DVDGRyeOd3/s7TrvmQfziyS04+Tv343O3rd3Tu2WgwXhWDAyKYPd4BvLCt5bKykSZAWvNce/qPy6RFVlil7NV5L/11mUKhesfF6+nrcGrrOwez/gStFJej0qxdFYjtgymKspYqQSykfagOc34x1XzlVk6pR5HHWEhC0VVsFKQZ0B1NMYRCYfw4/OPwa9X9+KF7SPoHUzjkdddslInv4qMZk5WxP94YUcD/u30A/nf8agw2BL5bYyFy1J9BKEWigzAiE8pojhd+Nnjm7mH6bI7ngcA3P/K7mIPMdgDmBmfFgODGQoK6yLhYzhdQ88K+UhKkBU/ZSUeCUttoYJN6SUbrqxoAxNpkCGhMRZWYtOJrGTzNnqlNNXAfdr9KvDkj4BCdfI5dZbUw68CqOQqGQ3jO/+4Ap8+ZVnJx7VyZYWVCBpikaIqWCnIykqr66N580GzccO5q3j31GNuzH1PHf0qBPJDjWfynLDcdMGxePdR8/h9ZGWF0pPLLU+RHyebt5XPVzWk/76XdmLN5kHP9fmCjZ8+vhmv7xrzeVRxpLJ5/PChDRU/zmD6YciKgUERUAmIJO+RdI638U4VpYYYEvyyPOKRECI+E22HJlQyRcFwntZlbZ5Lm0YSkrEwJzavawPtAB+vx1++DPzxi8Brfyn6WoJAw/W663SClpWVSnwgwrPC3teplIAAoTTo+wQASzTDarEk3FqBSKftiM+K7hmSQ+FoLlW56pJcqpTLlZWWU7cOpfCpnz6FC29e7TGU//yJLfjKXS/gbdc8VNE2AeDvr/VjYCKLeW1JvGGpaLXvKDFV3GD6YciKgUER0GqTyIrjCLViqhBloOInwIvefAC+fObBOGm5mOGSiIZ8566MaOMAqAyUyvqXgQh+QWwUJf+atmK1LKBBP+GPbmOXg9WtUt991Dx8+cyD8cXTD6rq8aUgG2wrKePoOSpTJSsy9E4kvRX47YfNqdlzBSEZDUO3COllSZmsTOYqU1b4Z7TgKO33lUYAvLZznBOq13er5PmJjQMBjyoN8t8sndWI6z54ND5wDEv4NeMBZh4MWTEwKAI6mHU0xvhBvFZZK6KduLiyMq8tiU+dvEyJdo9HwjzKXC0DacqKXgZyiZF+wvYrv5ARdedoRrm+KRbxmmDTbgLt6I6iryUIiWgYnzp5WVlBY9UgFgnx1N5KlBV9anSp/1Ul0KP+5dd+0vKusnJMpgrLshRyYlleQhYLs79ZGchVVsomK8LvIhOASstAGyS/y3O9I8pt+hTySkBJxoloGN0tCXz+bcsBVE9WdoykkdEGjRJ6B1M1U2X3RxiyYmBQBPKUYVoJ18q3kioxF0iHfIKIR0NSW2jwipVal8e1qcuWZSm+Fb0MBARPTPa0FjsOkHK9BKSwzEDQ/6/SMpCcg1JLZWVBh1rmkcnJB9wZPtMBuaTXFPd6crjBVlFWyjt1yKXKTKH6MtAmiaw8u3VYuS07hQwXXSnimTIFG45TGbFYt2MUJ1z9N3z4R094bvvds9tx0rfvx5ddA69B5TBkxcCgCMYpsTUR4aWSWnUEjZeYuKwjKZOVSIgbH+UaPs0Fokm5o+k88gWbryBlYiSftI/RItoBYHm3f7eMx1ybSwEFV30Z3V7Wa9kT+MRJS/CWg2fj8HktZT8mFLJ4GzdQ2gxdDq4+5wi86YAu/JNm8G2KR3DRm5fh/cfMxzumoQQkPy/BL4BQxO0XxMk9UlkZKKcpK5VmrVAQHQA8t7V2ygo3DLskRe5QqpQE/Wp1LwD/4ZDf/Subr/Srp3qr2k8D07psYFAUpEg0xyO8VKKbWKtFqSGGOigiH2BEQw/cAoSysqijETtHMxhJ57iRF1ATVOU03veuFN0fBJrMS7AsJqJ4zLVp6eA8Vl0ZaDrwiZOW4hMnLa34cZ2NcV4K83h1qsCHjluIDx230Pe2L7394Clvv1LI5DMo0wdgyooom1RmsM1pnpVKCb/c9vxy3ygy+QLvLgoqu5QDCvoj9SgmGaD1DqZSGChCwIxhd+owyoqBQRGMEVlJRHmppNZloKAhhjrk1Ww8EuKeFb8uiwWuIXh0MsdJUTRs+R58D+xu8vgnAOBojazMb2dlC0/ZKiW1k47tAGyfFen6vwHfPx7ofTLo5ZWPLY8DPzgReP2vU99WGeiSurH0uPx9AfL/068kGVe6gQrudZW1LuvKSiVloMlcgafLJqIh5AoO1u0Qpu/MFMywmbyqFOlkpRIMTmQCb5PVuUrLSwYMhqwYGBTBuDS4jw7kdN2Ut50pr3WZIHfwyDkrcusyGWqpe2k0nROkSHuec1bOQ3M8gu99yH+Cb0djTCk9zW9j2/SsvtMSWbHzwIRPoNa63wO7XwZe+WOxl1gajgPc9HZg14vAPV+Z2rbKhNwRVC6x3Jsge5D8xg/IygopEeUqK/TYvG0rpKISZaV3MAXHYd/Bw3taAajzuqbiWcnkhMEWYGU/+l5VSoIGxoNfk2xgp3ldBpXBkBWDuqJ/PLNXrySodbkpEeErzFoNZSu3dZmQ0DwrEanTQuwv2+Y8VwUZy+R5foZ+ov3vf1yBJy5/Kw5yM078IM9/Ic+Okl47vltVVgB/k23OPblkvQFzFUEhO9PzuZKNxlMy2I7PzFTU5hJloHjEz2BbrrIil4FEuaYSZYVKQEu6GpU0XcKUPCtcKRKnQjkErxIU8+GEJNPy9pF04P0MgmHIikHd8OCru3HMlffhqj+u29O7UjVkz0rUp/tmKpgos3WZIJ8gEtGwCNySlBXa33luoJjjALvcYDvdyGtZVsnnPmpBG/+dymC8VPDS3cB/HQDcd4X6ID/fSi6lXlaLx77v3WadISsrVbcuP/kj9l49+aMa7VXtUNJgK3XIVJpgqxhs5W6gCgy2fMpzVyMnErLqIW+30oWR3LpMoK67ShUbuRNPD66TiY88Z8qgfBiyYlA3fPW3LwAAfvTwxj28J9VD7gaK+igZU4E+XLAU9G6gaMgbCkdKUGdTjPsFaP5PsooT7b+dfhCOWtCGr559KN55ZA8O62nBGUfMZTdue4pdDm9WH+TXEUTKSm6Kq8qhTerz+PljaoyaKCt//KJ6OYPQFFdbl3VQzoqSYFuhwXYqoXDbhthnZkF7UjLVSmQlgLiUA79W7GqUlWzeVozu+n7IJmCjrFSHfa8AazBjQAeZvRljUs6KXLuvBfThgqUgH1BZzooaCuc4jpILk4iGMZ7Jc39AoorBcR2NMdx10Rv533/4l5PEjUFlDT+ykieyMkU1RH58IQuk+oGm2VPbZgl0Nu3jBtsyu4Ey8mygcg22Aa3LI+kcbNspa8I2DZGc25bEVveYIm9LJgK5goNKussnfQzD8ustF/JkdoCVpuToInlbO4aNslINjLJiUDfkA9Iav/OXl/GJW5+a8WmOyslfUlaCykAbdo/jPd9/BPe9tLOs7YsyUDU5K7LBlu1PRlrdNSciXNomf4AesT9lTOxS/060scuiysoUyYrueRnZOrXtlQG1DDTF9zBS/+GElaK5RDeQn8G2UmUlV7CVUDgWnV+eb2WHq0TMbUl4FgyOoyo2lS4kiETIr6eaRcn2YXVhphMdeVtGWakOhqwY1B36KPjv378e963bOaWZHtOBVLYAKoE3x6NcHpblXhkX/+oZPNM7jE/85Kmytj+RqawMlIjprctqzgqZay2LmWlJiRniykqtyYqmrMxy5/qk+r33zbmryakYbO2CCJ9rX8wupyExVy4DJaeasxIPNjPvKTQp3UDFDLZTCYVzPCf/ck22pETMbfOSlUzehrzmqZSs+BmGY1WUe3doPhQ9+8UoK1OHISsGgXAch59QK4VsoJsnTY9VVImZLaxwVSUcYtH0pVZcmwfKPxHbtlP21GWCfIJIRMOIat1JXAVyZ/fQiXW4XsqKXgZqnc8ucz4HY26wncKqUn5sJ5vhgpE6kZVCnj+fHOhVVabHpJS4OhPJiqKsFGldLsity5XNBsprZSCgePfMrtFJ9A6mkM4WeNhaT2tSSdMFvOpMpeb3SZ8p0rwMlCsvbC5XsD0Lr8lcsGdlh1FWqoLxrBgE4lt/ehk3P7IJv/3sG3HI3PIjygFgoxSPLZelZfKjKy4zDWNSxoplWSUNtpUQu7R0ICzbYKspK9QOSeU2uc0agFQGcpWVMqX7suA4XmWlxU3BzU1471+LMpD82M4DgNfvrY+y4jjAj98CjO0EPv8MolFBtu1q2vBlQmVXn7ZaL5T0rEiGUx6iVu5sIGpdth0P0QvKWvn5E5tx+Z3MnH/A7Cb+fG0NUV6uIaOvnnlUKZnM+HQ3yeSsHJzzg0fx/DZtBICmrMhEbcfIJBzH8cxgMiiOmX22MNijeKZ3GNmCjZf7Rit+7Mbd4oQll03GpIPLDLesiJO/SyZKtS4HeXT8QMQmZJV/4PcabNX9kQPsAHiUlUoG+JXE5DBgazI+V1Z8Vo61MNjSY6MN4rnqQVaGNwM7ngXG+4BB1sn26ZOX4oh5rXjHYXMr3568j5mx4PvtIZTyrKgJtpUpK7GIv8EWCI6nf2y9UCle3zUOgKkqlmUhri0YxrUFQuVlIJ/W5Qo8K0MTWU5UiilwGcUQbM94v95MhFFWDAJBJ8Egj0YxyIPHcj6hZfr1MxE8Y8VdbdayG0ieglzuCks32BI5opyVMW1/47pnpZZkxa8TiJQVP19KLZQV2m40CbT0sN/rUQaSRwJk2ef4sjMPqX57sgk4M8aUmxm0qpZTa1tKzAaibqB4maooHwnh41npH/ePp9f9HwDzq+j7AniVlUpbl/2UokrIygY3sK6nNYFHL3sr3nHtQ3i5b8wTVKeTl7ztoNYWsn0dRlkxCIR+MqwE8uAx+Us/JtWYa9UCXC/QgZCTlRLdQJUgVaFfBdBD4UTOCu0PL1u5Jx8iNyNuBP+UzaEy9E4gQBAInZDYNpB3T0C18KzIyko9uoFksjI5Eny/ciErK3YOyAfPkNkTKFUGorbeqhJsXfUvK4XCkQLRP+avrFCUfk+r6Jya28pKcTpZGdOUleo9K9WVgTb1i8A6th1SoYLLQACMslIFDFkxCAQpKvkqgre2BczukGXbqQwgmw6Mad06wrNS/EBTzqKZ3odKcjvikRDfNmtdFn4AABh3iWCz5lkhm0VNPSvkV5nlTglOtrMfwEtW8tJKuZBl5tVqQF6YaAPzrFhhYHQr0Lu6uu0FofcJ8fvk8NS3p7dyz7BSUEM0jJ7WBNobor7TgcV8H4eT7LJnA/kYbOe6JGTAZ/BfwXawc4xdf/aKHn49ERc9wdajrFTtWakuFE5O1wXgG1onPw+hkpKxAYMhKwaBmEoZSJZ4cwFkpVZJsPXCuKZUFCsDyTHfTWUkxVbatgyweHzqCGKzgdScFVJWmjXPCqGmygqVgbqWA194GfiXp4GYO0colxIMCfCqKdWWgriykgQaOoAVH2J/P/it6rZHKEjem8w4sPMF8XctlBVd/clU7gGrJ0IhC3/8/Em49wun+E5Tlo3wNCiz7KnL7onfdkSbcI/bHehXBto1NomC7SASsvD2w7r59XNcZYWi8DlZmYJnpWA7/NiWqDIUjspASzpdshL1V1b0spBRViqHISsGgaCToD7nohzIE0jlA8io7FmZ4crKeICy4ic1y6+rHLVE9qxUAuoIkpUVKtPp+6uvfuM1LQO5ZKVxNtAyl6kqUteMoqbka0VW3McRKTr535i68vp9QN/z1W2z90ng6gVi5tD2tYAj/X9roawMb1H/nmHKCsDmPsl5MjJIaQDE57zS2UCAd26VXxlou5tB0t2SwBHz2sQ+uARCz0DxkJUKjlWTUkdetaFwm6Qhi4CkrOieFW2/qlGr93cYsmIQCFEGqmwVkMrmuVwMsFVVgZcq9iJlxWOwDe4GktswQ2XUgYRnpTIC8Y7D52D57CYcMLtJhMK5B75R7rFhSpB+QqmLZ0WOuo82iN9lk22tlBXZYAsAHUuBJW78/45nq9tm7xOMTG14kP2962X19qkqK9vWAkMbgXAMaJzFrpthykopyISDUG4ZKCoRHZqF1dMWXAbiabWtLADu/BMWYVFnA047hKksMSmgDlAN++z68o8psnKiKCth/1KODsdxvJ6VqFeV0VN2AaOsVAPTDWQQCFEGqoxU+K2YcgUb4VB4rzLYjmmtwHQQ89tvOY2znPeLykCVGGwB4Kr3HsF/j2hKjzwaAPCSlbp0AzV2ietCYSAcZymzuRSATna9Tk6qNdnmNLICAK0L2OWoz6TnckAqB5GSwfXq7VMlK0/dyC4PfQ8wuIEpUjNQWSkGy7IQi4SUz325ZSCZrKQyahlocCKLgu0gLAUxibRadp+vv/twZXuebqCM2j5fyTGFlJVYOKTMKCpXWdk9lsFEtoCQBSzsYESdDLayauNHeqppWtjfYZQVg0DkeBmosi/WbrcW3d0iZGW/GvPMJytazkoRZUWeIltOrXu8SrIiI6aXgchgGw8iK+7XPTcJ/P5fgbU/qfq5lTKQslOuuiITFD3RttrIfU5WGsV11IFUbt7K4EbgV+cCfa4vRScrA6+zy9mHqddXio0PAzedATz3a/b3sR8HEi3qc+5F0FuVy1VWwiGLm8LpMz+nJQHLYoqrnmJLbctzW/1nKOl+El1ZqWRhJYYYqq9FdAMVD/Cjjsd57Un+GN+p0NI+xbiHx5CVSmHIikEg6CSYq7C+OuCSFTLFAd7gMmDml4H0Uk20SJeAPF6g1AHTcRw8/BqbnzOnpfrBdhFp7gogGWwTZLBVv968DHT/lcBTNwF3f67q5+bzf2RlBRClIIWs6MpKDQy2BCIrY2UqK49+F1j3O+Dh/2J/U0mGkxVXWZm3kl2mhyvfT7sA/P5iYMujrPup52hgwfEian+fICvlq3TRkEowEtEwOtyRxLrJVi4DFdsP+g7qqdGVHFPEEEP1tZSbs9LnTlqWx4n4tS7L/hUieaYbqHIYsmIQCCIplSor/a65dlZTzJNNIhtRZ7qyknbJSjKm5qz4HRDVMlDx9+uR1wewZvMQYpEQPnjsgqr3j09dtisoA+UmgUe/V/VzctDJnSYt851yD9z18KzoBlsAaK5QWaE2Z7qcJLIyDOSzwgw7b5V7fRXKygt3MIUm2Q586JfAuXewfnZOVqbRs1KjFbxssg2HLKW8Uwq65yUeCaHTnWQtG/EBYDtXVpLwQ1zLQEnniueZFIPIjNGM6GWSFXp8g2SS18cBAIK4xCIh/r4Zz0rlqCtZufrqq3HssceiubkZs2fPxnve8x688soryn0cx8EVV1yBnp4eJJNJnHrqqXjxxRfruVsGZYIbbCv1rLirpa6mOD9Q+dWYZ7qyQmmdCepE4IMDvQca2WBbsJ2iB6MbHmSlhg8ftxCzp6Ks0NwVTRIng60+uDARDQPP/kLdSDWzahxHnMSTbeptXFmRCEo13UCjO4D/Phi47+viOt1gC0hlIC3LxA+To8Au99gyupWl35LKkUsxguEUWJmJJkhXQ1Ye/m92ecJFwEFnsDZrAIhPcxno/z4OfPco1o49Rcjty4lIZaeNiEZsYpEQ7zzyKCsUCNcWUAbSfGOkfrYm2We+sm4gCoQLKgOVIiukFMnptz5loLx4HvLnGM9K5agrWXnwwQdx0UUX4fHHH8e9996LfD6P008/HRMTIt3029/+Nq655hpcf/31WL16NebMmYPTTjsNY2N7n1S6L8GWTri5ClcBVAbqbIp5JgOP7YXKCikU8qpIJyND2lC2YqWgV/rYZ/t9K+dPaf94GUgfZOh6VnQTZCIaAnY8o24kW8WJLDsB2O7/MdGq3uZbBtLJShkG21f/xEo7f78GGN+lPs6PrKQG/Kc9y9i2Rm1L3vqkShy2r2WXHUuFYlQpWRndDuxeB1gh4NhPqrdNZxmokANevBMY2gTsnPrir10Ki6vUqK2rMLFICJ0+ZGVwIotdbiDcos5G+EH3rKR1slJRN5B/Gm+5oXBcmZG+Z75lIE5WwryDzygrlaOuZOXPf/4zLrjgAhx22GFYsWIFbr75ZmzZsgVr1qwBwFSVa6+9FpdffjnOOeccHH744bj11luRSqVw22231XPXDEpA9qkUqiwDdTXFpS++mgUCzPzZQHSQIYVCXl3q+y6XgeTH+oFWZH7R5pVATgd1HMfTaq0rK8lo2DvTJ+szIbkU6AQeiqjtykCAwVYjJ+UYbENiXg03AvMEW+lElmwHIu4qvJRvZauWdNurkZVt7LiEzmWChE0OV1ZK2eYSnlmHeFWn6SQrw1uYSgTUZNjjEok8lDsXiOAtA4XR1USeFUHyaSDgkq5GTj506CUaIgzVkBW/IYZA+aFwfp6XRNSrrGRkZUUr3RqUj2n1rIyMuNMpO5gsunHjRvT19eH000/n94nH4zjllFPw6KOP+m4jk8lgdHRU+TGoPWSZslKD7W6lDKSFOO1BZeUnj23C1X9ap6TNFgNXViKkrIiDri4RD02Ur6x4auUv/wH4yXuAn78f2LqmrH0D1HTQ8UyeT7Hmcft+psgJjaxUUyLgfpVW72yBspSVMsiKrPisuYWVq/yUFcsCmt1JyERWMuPAXZ8BXr1H3SbF6M8/1v27CFkhomHny9vfTY8Av/0ssP6v7O95R3vvM51khYzCQHCJbMMDwN3/UpaJmELPgDKVlZ0vAXd8Chjc4Kus+JWBnutl+3HkfE2t0x4LBJeBKlkA+UXty8+hk5Vdo5P41189gzWbhwD4e164siJ5VuQyEJVujbJSOaYtZ8VxHHzhC1/Am970Jhx+OOud7+vrAwB0d3cr9+3u7sbmzZt9t3P11Vfj61//uu9tBrWDTFYqra/KZaDYDCkDOY6Dr/6WyeGnLJ+FEw/oKvEI4VlJxthroK4GwJu+S8MC+e0BB818weadALxM8+B/ilCzRAsw/8cl9w0QZSAAGJpgzx8OWbzrx9ezog8gzFZx4gwy1wK1M9jKJGqkl5UzSAWKaSWClnkseI1Oyq/fCzzzc2D3y8CBYiHE3+PjPsVUlp0vsmwYws6X2GXHUka6QhFGViZHvM+p474rWFmJ0LPSe59pJSuvi9+DFKd7/p0l/zbNBt7y70U3t1giK2UlId94GiOcu19BIvoN5aZYOMS74DZL09mf3co+V0fMK4OsuGpiekrKCrUul1cGuvvZ7bjz6W1IZwtYdd4q3yGI/mUgYbDlw2ENWakY06asfPazn8Vzzz2HX/ziF57bLG115jiO5zrCZZddhpGREf7T29tbl/3d3yErB5VKlqIbKK588TP5grJdPYK6npiQEnWf21aeD4GUFToYhUKWMAxr+15ukqaSmkkrMnllW4FHQiZP/W4aaEsiwr878go4FnbNfVQGCrsZOFWVgdz91f0qQO0MtjqJmhz2V1YAFvcPCLIytpNdDkvHhvSwUJWWnCL2S1ZwbJdwts5nig29vlLKQz7j9QLN8yMrrsG2FvOGSkEOt/MrA2XGhJdlza2sE6oIVGWljNMGva+7X/EMR4yGLaxY0AYAeG7rCP+uPLd1GAD4bX6QS7HZgi08Kw2VG2xFK3WAwVZXVlw/DQ1pnfRRZojITQYoK2HLeFaqxbSQlc997nO4++67cf/992P+fGEqnDNnDgChsBB27drlUVsI8XgcLS0tyo9B7SETlEoGGWbzNlcZOpviPEgtW7C9AU7TqKzIZZp1O0qXDm3b8XhWAGk+UF59T/QZJUHKijKPhFZkMmGogDzIysqgSxBbpFp/Uqmlh9i2yffRsZRdTrUMpIOTFel1FDPYbnkC2LXOux39fciMFSErWkcQqUcTu8RJmMoiTXOA5m6v10bZ3jx2Wa7JdsezLE+FEI6JUDkZe6wM5KOsbFsrzMYTu4C/fBnY8njg5mRlpSKvWbxJmTkUi4RgWRaWdjWirSGKTN7Guh2j2Dk6iV1jGYQs4LCe4GO63EI9kSlwhUIoK+Ufq/wMsoD4XurEp98lK5QFI8pAXmVlKJXF757djvFMXjHY8m4gQ1YqRl3JiuM4+OxnP4s77rgDf/vb37BkyRLl9iVLlmDOnDm49957+XXZbBYPPvggTjzxxHrumkEJyCfjSlqXya8SCVloS0ZFzkre9o5zn0ZlRe7WoZpzMagKiJesyPvuOI4yRgAIPmhOutuNhi0RMy6v7is4kUWkiHBKAm1JCLIiD2dT/CqRpJjpU003UDGyEvNRVuj3mHuyphLRlseBm04Hbn2ndzs6iZoc9TfYAt6sFdmXM+YSmIHX2GXXcnZJc3r8wMkKmWxLkBXywoTcqvqcI4FIzHu/6SQrgyU8K71uyYr2efWPgFvfJXJnNMjTwSkSvyzEmxWyEne/P6GQhaNdBWXN5iG8uJ29x8tnNyu5JZ7NScqKXHqlz31VrctlKiv97nesfzyLTL4glBlpn2j/Xu4bw+d+8TQuv/N5XgaKR8Wk9IIx2FaMupKViy66CD/72c9w2223obm5GX19fejr60M6zQ5elmXh4osvxlVXXYU777wTL7zwAi644AI0NDTgwx/+cD13zaAEZFNtJasAGuy1sKPBLZuIk/tUho5NFXK3ztahNHaNFj/gygqIfDDyO5Bl8jZXn0rlPWT01Vwhr04oroA8WJYoS1EZqDVAWUnGpE6gxllTO3FSWUTvdgGE6uFnsKW8Ebrtnq+wy4ndgH7w1t+HYspKc7fYDqB2PI24BIY8HJ3L2GUQWUm2C8JVKVk5+Uvs54xv+98v1sQuqyGIlSA3qZbAxrZ731/a51P/P9FiXch4J0T7YGCieMlIQbyFd/4Aahln1aJ2AMCaLUPYOsT+t4s6iyhecOcUuccUIishS3TWZSWvSClwEuFRVgLIypgwA+8cyYjvsqKsqNv67TPb+XZ4KRYmZ6Ua1NVge8MNNwAATj31VOX6m2++GRdccAEA4JJLLkE6ncZnPvMZDA0N4fjjj8c999yD5ubmeu6agQ/uf3kX/v56P/6/Mw5WpN5KZN/1u9mBeOksdmCWDbZjUxg6Vi2e7R3G/63ZiuXdTcr1a7cMwbIsrN0yhEvffrAyyAwQyZjRsKWEWumJvIDqV2lriGIknStSBtLaHfUTV4UekkgohFyhIJWBxFdaPogmIpKy0jRLOnFOoXXZtwzkqh6Kwdb9vaETGN7M/t7xnGpIzaWAuPQ/8iMrtE3d7ErzicZdr4psIia1pd9VVjoPYJfytGgZLVL2Db2+R78HrLublc7e9nVA8grBcYRKseQUYNEJ/tsFBEHMTzKSGq7T4XdoEwCH/Y9zKWYSTvWL12zboo172VuZv6b3cWa2Hd0GzDk8aMvlQf7fx5t5pgqgkpWVLll5evMQFrQzktLTphFRH8QiIWQLNg9ibIhFuGKzbscYLr/zeVz05gPw/LaRwO83ULp12VMGkjqXto+kfZUZXaUB5BbnkMlZmQLqSlbKaRG1LAtXXHEFrrjiinruikEZuPAWdgBbsaANS6UadSWrgPW72Elm2Sz2+Jjk8aCpq4TpyFl59/cf8b3+lb5x3PH0VmweSOHsI3pwhNYu6VePBkT7srzvPOY+HuGrsiA/ziRfzbkHNc9JubJVdyRsATmx2pXLQNEwOzjmbQeJmNQJ1DhbEINal4G4siIbbF3lqKFT3Pby79XHZSdUskLvQ+Nstt+ZUf+pywDQ5CorpKjIZaCRreySPBydJcpArfPE7+2L2eXO59kPABx8FrDwDeI+qUFBknqO8t8mQSZZ2XF/ZaoWGNrILjuWskC98T5GQoisDG9mhuVwHJjjTvFumc/ICr1fPvjYG5fgpkc24qwj5hZ/fvn9D0U8nhXCivltsCwWsU9loKCZQDJikRCQEcpKIhrm3rgtgyn8/IktmNOSwK/X9KJ3MI2zjpiLI+e3ebYTOMgwTO3H4nhl244ydHHHSLpoKByhORHhbcyKsmLISsWYttZlg5kN+eQ7mSuoykoFX6wNbhlomausUBkoU7A95KSc6cT1wngmh2G3NKQrPoBQVgJXXdK+j0sDBHlGQ2AZSOtA0MlJboKtfEPeFZof6P3lZEUL00pEwxjP5Fkpi5eBuoSyUpXBdtjdeJvPDhUx2HKykvKeFHOawkMkqmUuIyupARFy5iErLvHIuuqLXAYadUsgvAzkKitBZIXMugBw8heB2Yew/V/9Y2DnC0D/qxpZGWCXiVbvfumIxFnYnZ2rL1mh97Z1AfOkjPex96HHzX4h4taxFAi7nxciaUXGFlx6xkE4YVknTljWWfz5ZbKSn1TKQPLJvDEeQU9rEtuG01i9aRAAMLccZcX9zNP3tyEW5jH8hMFUlrfzj6bV8jNBHqyobN9HWRlJ5xSCsX140vfx+rZak1G+HZZga3JWqsW0hsIZzFz0DgrptrMxpnQAVWKw5crKbLaKjEpKA31pSQot1ww3ks7hgVd2VTyjqBjGMwWksuwgJgc4EUjiTXqUFe+BTI65p9t3j2Vw+5qt+L81W3nuDCC3O2qdQA1S7stIL/D6fV6fgQ9I6aHnaE1G2eNevw9IDfLnScbkMtDs0v6JXetELomOig22UhkIYIRCJyt6OYr+JvPsmNQxqBts4y0ixXZwg9oqPbqNeTbyaXbibl/ErpfLQJZ0GGyRlJV4M7Dig8AxFwKL3siuk/NLAEFWkh0oC/ESJHH3KyIFt1oQ4Wid5z87icy35N8BxOsuknYbj4Rx2qHditlWgeMA6/8G9D0nrstPBiorALC4i31e6PvWU4ayQqUWUlaS0bBnu0MTWa54TmT9yUrQIEN5Bpjtkgq/6dBcmfEJhSM0xSNcoYlHjbIyFRiyYgAA2NgvThYF21GIQblloFQ2z6emLu1yPSuSx4O20xBTh5GVwrf//DIuuHk17nlpZ1n3LwYa5z6cynJCNpnzmvKCDmS8dVl6T8akmHu6/Wu/fRH/9ptn8cXfPIuv/PYFft+MLj1TnkjjLHHSvPuzwM/ex8LNSoBWaqIbKMJSVH/2PuBPl/L9Z56VMstAdgG4+Qzgpnf4R+MXVVb8QuHcMlCjS1YyY96Tov48ZPylDBUqtVhhoQYQLEv4VvQ5OCNbhV+lfbF4rKysNEtljdaAeU2kyPRrZCXNFAFuHi6FYl4h+X0vI1U2EPTetszzpvsCqrJCoNddpAxUEhsfBH76XuD3/yquy03yCcuA9zu/WJsBNKecMpBmsE3Ewp5If8pCAURekg65pViGTDhoUdKvTYfeMTzpXXj4bIvlS4kykPCsmG6gSmHIigEAL1nJKmWg8r5YG3azbXQ0xvjgsxjlrORtnt3S6K7MyvWs7HAJUKkOnnIwr52dTHdK25r06SAgsqIrK35lIDLYNiWi/EAnj67f2C9OxB7pmFbY8SbR2rvDXZnKWRkBEMqKVAYa2sRuHN6sptmWWwZKD7GfXMobzw+UZ7BVuoHc37vcScZj28VJkRtypf1wHPG3rqzEGr0R/4BQSnYSMXTvM7pNKgEtF/eXyYpMUGRlRUaXS1Y8ygqRlRKlEQInKz5dWMNbmFJTyAjfSTWgDqjW+ay7CVA7mriycoC4jiswU5gjtP5v3uvyaaUVWe8IlMPmLAvoLmMKOX0HeRnIR1mh7iJARPLrKBUKB8hkJcP3EWA+G27QlT0r2raUnBVJWZnhY9FmJAxZMQAAbJJir/O2U1XcPnUCkbkWkJUIG9kqlRVaGVUjnTZqkfPzXbKyS2pDnPQpA6W5dOs+/oU7gMf/17cbaNwtAzVLZSAZw1LGi8e4yyPkm4TaQcoFrdqLIKKVpVoSUbEqz4zx50lEQ1oZiEiCzwo/JT0v7YsMOvEVbV32Mdi2LwLirSyMjK4jEiCTm0JWTHWmkygpK0G+kCZNWaETcWpAEBi57CGXgWSy0hpAVmh7gxtYJw+B/ke1KAORAgR4vSOOAzz832zezr1f80+cfeYXzFsz6hLBlh42vgFQ81P0Nm5AKgNtr2xwo4xQ1HudNgl7VBtLIZOV2c1x3++PDiITI2n2HiRjYU/5pU9ajKQCykCkcupERw6eo2MUlVlpf/vKLANNaKFwJmelehiDrQEAVVnJ2zZyBbF6LdcrIrISxAGIx+0XRGmJat7lkhVSPqohK63JqBK1P99tkZTJSsa3DKR5Vu7+HJAdR9e8X7J99+kGak5EfEcTDClkRVvN0Qo71uhtyU2VJiu68tOSjAqCMTmKRAN7nrjcutzQxSLi5eeXIZMkPWPEtsWJr9wEWyrxRBtYKNu2p8R+0EleJk3yibx5jru9gLZlgq6sdC1nakx2DHjtPnadrCTIykr7EhaUZ4WEkqOjZT7zxeQngZEtooRCnpWyy0BFSGL/q+L3EU3h2LUO+Os3xN8dS4BVF4i/Czngrn/S9nme2CaV1fJZkaXSIZMV93XnJ9nnrrFMpUiGnzlXG7UwoakccjLu3NbS5lrAa7BNxsIekiPzrVLKil66oSyXbMHmxygqAx3e04oNuycwlMqBuqH1sRYyUrmCQorCbtnWeFYqh1FWDAAAm6RSRb7gKB1A5XYDUQ1ZngUSlcompEaQLFyuwZYrK1Vop/pBYb7rWZGJ0qQPaUrLnpV8lpclWkJpz+N5GShAWZnM2XwV5gmi4mWgZlEi4DtRmqws6FAP8K3JiCAYkrKSjFqCxDR0Fi8DpYqQlcwoAPc9Lcdga9uCEMWbRYIswFQMv5M33T+S9Ko3QWRCz1ppnCUmH5PSID93ok2ktzbNBs67E/joXUA0oAwRComTu1yeS1WorBQrAw3IyormHdGJwOofq2dkT7nOYgSE5hERWRnezJStaKMgggDrVKL3UH/ucuH3uFzx0u2C9gZ+0u9pK10CAoTaWcxgKyOIrPCwNp/H6pOX+yVlhUpBdGiRQyO9c+6AYXc/2dRlk7NSLQxZMcBkroDtI2IF5DXYltm146505BRVuQxEptTGeNi9zikri4cOGNWsRnRCRGUgGX4GWyWdUvJTNFhshZVzW7Gf2DDA24abE9HAgyapK15lxd22XAYi0Kq9CGQZHXDLQERKMqP8QNqKlJgFk2wvUQaSnlc3ehJ5iSTZCU4HKSuFLCuXyF4Unay0zPffD9nHQydbQlCZRg95a5oNLDhevU5WVkIhoa7EW1iY24Lj/LfNH++SFblck3ZHNzS0F38sgScHlygD6coKkZG5RzGFp+95YOtT3tsJTd3MTMzJivt/4yWgpV7vD723+nPveFYMhywG/XEA898U+Y7HIiEs6GCfmUqVFYWsFCkfBZaB9Mwjbb8AeJSV2S1xTzeU3q6sg44PZjbQ1GDIigG2DqWU40nedhRPRrmelVHXu9GSEF9mHpKmdAOJ28tRV4SyUvkXXG5LDocs324DP8+KYrCVIukbLPYacwUb1//tdXzgh4/j/9awFWVTIhJ40KRuHc9Yeu5ZafQqK6nSM4z0bgpWBiI1xEFn1FW7QhIpisSKdwMVKwMVM9cC6oDA3IR470IRdpLtOlDa2Z4AZUX28WhkJcgAS8FwhEaNrMSavfehv4Neiw4iWrLJtmKDbZllIF1JoU6uWQcBh7+P/f7sbeL2cY2sEPHQxyoMbmCXcgmI4Ne+vGsd8P9OBv7nUO/9ZThOsDk3P4mD57D90D1kgCDc5aTXAuKYQopFg08ZSEbpMpD3sXGurLDHkrLS2RhXgheB0mSFhqjGzNTlKcGQFQOMaKFJeUkFAcrvBuJkRVFWRDcQESBSVuj6UpiKZ0UmQ23JKJ8homzfR1lRQuGkEwspK9m8jR88oHaG+BlsScmh+ronoptOIvGmqspAsrISi4TY/koE49yj2/Huo3rwlkXu/4TKFXyo4Lg3z6VYGYi3LQec4CNx1l4MMK9KRioBWZbakdM6L8DjQj6eJnGylR/jBz035YC3AvOPEdd1LvMqCadcCqz4MLD0FP9t6iBlRi7XVJqzEpRvkx5S1RG9pDJObeez2GsDgJ0vidvlEQOA+P/oBluaGdS20LtvpDTJytrrf2WXtr86wZEaFKbpt18FHPNxcVsujR999Bi8a0UPfvVp7ziCz5x6AN61ogfvPLJEMq4LXfVIRL0GWxlBrcvFykDUBDDhpm6TMtrZFNOUY2kgqYvv/MOROPcNCzGrmSmPQ1xZCSEcNrOBqoUhKwYembRqZcUlPXrkO8BIA5EeRVkpg6zQwaZSB32+YCsrmLaGKBp9Jrr6Jekqc0OkE0uSyErBwexmVaWRE2wBNmCN4sPpYEcrNd7uyMtAzT5loACyMtYHPPCfwFifQlb4AVsiGId3Wrjug0ejK0Thc265Qjaq6umxU1FWLEs9IXOy4p40O5YIMtMy3z93RC4DRZPCW0KP8YNMVo54PyMnyXbRLi2XnwgHnwm894Zg064OIlqyZ6XSnBXeDaR5Vii/Jez6vUZ3qCRyop9dNs4S+yErMXoZiMiNrKw4jiBBfnky9Brkz11m1Hs/P9B2G2cBJ1wEnH2N+D/nJ7GgowHf/dDROHye93Nz3JIOfPdDR2N2GW3LgNfE2hAr7lkJCoULMtgCrKQLCPM8EY72hqgyf8vvsf94zAJc+Z4j0OwujCiHKRapTc7KZK6A6//2Gl7pm4bp3TMIhqwY8NUDoaC3LtvleUuohix/meVBhrm8w6+jL22uBBGybYcfVErdV4dOQnrakmiIhT0LbL9uIMVgK51YEhCeldktqmejKaEqK42xCDcbD2nKiqd1Od7kPWnm0/6hbHd9BnjgKuAXH1LMzDzDQvaZ0L6Tt4JyN6JJEUKnlySKtS4Xa1smyCdkOtkRWYnEWSkDYISCl0Wk1ymXgSxLVVcClRXJLHrSF8TvS05ilzQDZyogz8roNraPjiO9r+UqK5KiJYOyT+Ydw/4vdk5VS+j3ptlC4UkPAhOuCjKuKSsHncku6X23c6wDjMpLfuU0eg0yWS13Kjf5VeTt+rWx1wB6lolfN5CMUgZbP1WGE43JHPIFG6Pud6utIaYsxvSMFhm6tyUZrY1n5bq/vob/uudVvP3ah6rext4I07psgHTOq6zwjg/pOj0lUgeVgfwMtnIoXDRkIRYJIZ8tlFRWZMJRaZ1X3va3zjkCxy/thGVZaIxF+IoJKCMUTjqxJKQykN423BSPICa9Rw3xMNobGJkYJs+KbuojFSHWKE5kMtKDosOGsN6V5rev9XQfwLbV1TAZK/U8EMtiz5cZYfsgP3WxMhARoWI+D1ktkctAhHN+xPJQeo4Gtq917yudvLPSewIItQEI9qzEGoAL/sB+JzIEAG/9KjB3BVNbpoqGDuZNSQ0wdaV9kSiPTLV1mfwe7YtZqN/YdnYddezwQL9Z7LW2LmQt1AOvsTZjUlbe8BmmIh35Aff5msAC8hz2ueCBcT7vI1dWpDKQnM9iF4BQgD+D9l9WbCIJ9r/MZ/wfUyV0ZSVRohvIrwzkOE5Rgy0RjfFMni/CAFZKlsvcfsoKoUHz58xuidekG+jBV3yCGvcDGGXFwKOs5AuOp/RTqhTkOA4PfJJXHjEpnp6UkWg4JA0L81/1EOQkWL8Mk2IgohMJWfjgcQt5yUQ/iBQz2OqelYSTcV+PjYmMSvL0bqDGeARtDaqykvEoK+TP8CkDAf6lIFJH/JAdF10/gCALvMVWeiw/cWqr56mUgZTtjvuTlTmHAys+oJaMKEdlbKfoivELUCv22he/if3ISLQCKz8a3JJcKWTfCp3Uow2lhxgS5Ne08yUR7sYVjx5BJNb+RJDDCYmsACJMj0pBdPucI4BjPib+B6GQeO9TA6K124/0kUlYKQNJ//9ipGO0iLKSr62yohOThliYkwA/TGTz2DKQUqYm522Htx77l4FIWcnzEm5LIoJIOKQsxipRVua2JGuSszKiBevtLzBkxcCz8ijYtocYlDLZjmfy/MsvrzzkCabkg4mEQ2IMewllRTa/VmpKC1o56QcR/9lAUiicdLKMS2UgPTq8WSsDNcUjaG9g74XHs8Jbl4uUgQB/k6089LCQw4oFbdKO67koVAby8VYEpakWNdiWQVbk7fqRFRlksM1OsFbnH54CrP4Ru46UJtlT4xe1P52QfSupCktAgHhNWx4FbjgBuP+b7O9Rd3ZPy1yhTqy5Bfj1R5laJqcPA6KrisgKV160Fm5AvPf9rwJwmFIlf4YIpcpA+SKZKbtedvdfysGh4ZIlslYqhU5WktGwojDq8QSbB1I4+Tv345grxawtWXXVy0oA0BRn31tGVhg5oBEiahkoWFlplI4ziWgILclITZQVORF7f4IhKwYeA1pemw0EAIUSRIFqurFwSCEHShnI3WY0bPkOBPSDrKxUWwaKaweURo2s+BEmInDxaEhRHuKuspLJ29w4R9DJSmMswstAImclIBTOr3UZ8FdW5FX88BZc/6Gj8daDZ+NXn3qDj8fElfH9vBVEOOSykeOoJ6ugnBW/IYYE2ZdRiqzInpWJXerAvXKNr9MJOWuFE8AyM1YA72t65U/sUlYmjvsUMN/NfNn8CHtPHPd7QCSDDMNkzOVDKn1ICPlWdq1zn6OHKS46eBlIapmXP39Bysqul4FX/8x+P+Bt4noiK3VWVpKuUnrpOw7Gh49fiLcerBI2Om7Ihw/5O+8XN0DKyngmx821pJLKnrxiZEVuJJjbmoRlWZJnpXqDrZ4CvL/AkBUDH2XFWwYqpazwElAyqqxyyOcih8JFJUJTyrMiqx5+SbovbBvBnU+zToS7n92OR9f389vkaacyvGUgH2UlL3tWxMo+xpUVB2OTqhyrJ2k2xsN8NcbLQPrwNCUUTjqhk/nVLxhOJhcDr2NBRwNuvOBYHL+0M1hZ8SsDEVmRH5MZVdtUK21dBrQyEBlsS5GVcW9HS7GV/J6CnLVSaXot4C319b/CiCSRtJYeYNGJwMfvYaZhOw+8dg+7LdHGMnIAtSPItkW3kB6OB4j3npOVgI4q+mxkx0R5Sv6fBP0/HvoOAAc4+GxW4iNE66Os6GUb8o7986nLcNV7j1DKNDqoUYAUzmjYQsinhCSXgSh2gFTSVsWzUqwMJPaz2zXjmwTb6mEMtga+yoo+EblUCWbUpxMIUDMRRBnI8p1e7IdJRVlR75vJF3D29/4OAGiOR/Evv3gaXU0xPPXvp/HbAa/MW04ZiAhcQisDxZxJ9/a8x+tCM0UIjVIZaFhTVhLRMDMskldDj9tvW8Qm76alVS7fYYlA6JOZfePx4V8G8iMrupKTm2BzZ8JR9b4Vl4Fa/O9LZCWX8gabETFYcDzQ+4TocNmTkEkCqSF+akYQ/NSzzY+Jbh4aJ2BZLFF33d3Ay793n0eaZ0Qm4qGNwO51XuVFBpGV3W6pJqijKtHGSLJjs89L42yNrPgoK/kM8OKd7PeTv6TexpWV2pIVmQQAQlkhtBQhK7mCg1jEkjqB/JURbrCVPCsdDdWXgSidd6o5KxmfZoD9BUZZMeCtfUQg9FA4dl3xL9eIj7kWgDKlmExllRhsZUKg79Ofnu/jvz+3dRgAS4oVqyd/ZUUvA/kZbOmxyZjaDRSzs/x5CN9+35H4xSffwF5bRKzSFIMtT7CVlBW5I0QfZMinBmvkwXFUcjFYLlnRWpcBQTjkUg+RGrkVWN5mOa3LSs5KCWVF9qzwlNaDgXd8Czjyg+zv9/8EOP1K4N3fD37O6ULnAWzUQHacTeIGgO7Diz9Ghh9ZWXc3hJdESsKl+P/X3UGMsmrSPAdYeAIjFg99h10nKy8yKBhut4+vREYoJD4fqUGmoskqm185Z2I3I0rhGOu6ksENtrUlK6ceNFsJYmuIqt/nYmSFTvaZIoFwgMhZGZvMYzCll4HKM9jKmU6UnD1VZWXXqCCMxUzF+yIMWTFAyu0GInnTT1kpWQZyPSv6gSKqdAN5PSvZfAnPSlZWVtT7/vTxzfz3HSPsgGg7wmnPQ5+iOllRV0N+qxWurETUuP2oq6wQWUlEQ3j/sQtwwjJ2komFxbYbY2GurIxO5pEv2OogQyJBVpitQuUTOqkKsn9kuJfJ/XK3j66seDwmLlnwM4OS74QISCEHvPoXd+dnCe/J5Ah7D0Z3lKmsVOJZkdqcSV2YexTwhn8WZYTmOcCJnyu/PbieCEfESXnn8+yy5+jyH+/X8UXKRPMc1UuizzaSlRVApMTS4/1KQID3vQ9q/wZUk62nLOejrMjJurr5mRtsa+tZ6W5J4LRDxOiEREz9ftOCqTkR8ZzQSVGhrjyljGPb7PvkODzpeiyTx/BEcBkoUaR1WV4UzXED76baDdQ3Koif33GasHN0MnAm0t4KQ1YMkHJLE1Sn1QcZAuWXgfR6sTy9lJeBQqIbqNRsIDkDRf6Cb+yfwJrNokTSOyRCxfiE45y/1Kun2Pq2LpNnJaYqIFGbHbAHpeGFMuQsGlJW6Bg+nM75Kyt+4Wdk5CTPSv/rwLVHAD99r7qjQcoKn6rs+g/IJFysDPT7fwUe/E9xP1JPJoeB/z0JuOZgUfoox7Mil4Fode+5L2XIOMDwFvZrJWWVPYF5K9W/KyErdAKXQcqDTiLmrlAzZnSycui71LKPfjvBMwwywLMCqCm2etCcn0LCW6p9/md1KgMBwAePW8B/b9C+z3QMaklEPSUiWsCQoquQlb99A/jeSuDJHymhcFQGamv0Gmx1874MeVHkUVbKCNn0Ay3KCH4l7P7xDE76z/vx0RufrOo5ZioMWTFAKqPG5Odtx2NmDWLwBL8hhoA6dTnvl7NSwrMiKysygdo2pK7Wtkp/EyEgIlSqDFRMWVEUEABRmx0sSElq1rYVlQ5+TfEIwiELbe7Bc2A8q3YD0YqT5PLGWcDR5wEnfBZoduekEJHY9SIAR6zmCZRgyl+8e/9W92CeGZM6hCyVZOhkZcez4rZjP6GWiYY2qs9TtBuoRCicDHnw4dAmdhmkEMwU9EhkpWNZ8ZKYDll9mHUw8yYR6H9OiMSBUy5hpae5K4AVH/Le/vZvsu3MOgQ47pP+z6mTldmHBO8fz1oZKE9Z4WTF539WJ4MtAJxy4Cycf8IifOrkpR4P2tEL2/CWg2fjkyct8SxMdGVFKQP9/X/Y5Z++xL/X4xlhsPX3rJRZBuLKiktWqvSs9I2oxz2/hdbWoTSyBRubBnzSr/diGIOtAfes0GoiX7CR00hEKdlyROoGkiF7VuQyUNkGW+l2eR/GM2onjrzi4HVpIgYlykC5goOC7fADiRzxn4ypBtuwrR6w9cGIcYkY0YqvqymOoVQO/eMZtTQ14W4r4sb2Wxbw7uvZ75v+7r4BLpHQvSuUpOoxwA6zy9b5zHiZGRWPTbSqCaScrLiPoY6STz3A1IIn/pf9TUFiygsNUEoAdaJzKbISCjPCkksJsuJ34ptJkJUUXWWpBM1z2RDF+65gf/t5SU7+kte4KmPFB9lPMciqVlO3SpB0yGWggpbn4aeQkPriRzAj9QmFA5iZ/evv9vcKJaJh3HTBsQCAnzy2WbmNvn+ZQgmDLbUuSwZbKgM1xFhsfsF2iibYyubbuZqyUnUZaEQ9/vgpK3Tcm8r8oZkIo6wY8Npmi+RZ0b9MellIh98QQ0DvBpKUFfek/uU7n8e1972KIEwGKCt6IJvsZ6HVRtAIeF1ZYY8RzyNnMOiDDCMF9WDRrCtJWusywCa1AsC2YXHQTkTD4uDvVxrQza96OFyrkMGVSHQiN22SshI0bI+XeUaYcVdPSaV9oPIMIdbMvBtBkEtQ+mwgP5C6wslKQDljpqBjKRB335ueKZCVpm6mpNUbMlFccFzxYD3KjPEtAxVTVnzKQKSs1DhuvxJ4y0BqibiUwTZvO3whRAZby7J4qUlRViZHgP93MvDQfwFQM6I6m9iCJDTFQYZ9o7qy4iUrpCjva5OdDVkx4CFDRDQKfgbbkqFw/p4V8nDIQXNy6zIAXHvfa4HbDQqF08mKDPoCixHw3hk+8r7JjwGAMVe1sSzvbCAqA+nb4rdrCbYAU1YAtXSViIQBIj6+HRxaiUZXVhq7JAPssLieiAv5EiZHRSeQXrqRnyM9xIbdARJZce9PJEJ/XBB8py4HKCuA8LhQ+23TDCcroRBw+HsZyTrw7ZU//qiPMFP1yV9k/8cTPstaho+swfwiP8jvPYXNBYErK0Oie4hQ1LNSRFmpscG2EuhkhJeB/NKtw2IwaUNUDDylOWLtjeLYRuVupXV521pWSn3uVwCA45d2oDkRwdEL27hqO1VlpX9MVbvSvsqKPaXnmKkwZaB9HLbtYGwyj9aG4HY+8meQccw3Z6XsUDj/nBX5eaLhkGeuThCUuH2lDMQe3xALe6aqcqk3QFmh8kxTPIIJd5iiXG6iGnVrMsoOMkrOinqw0A22sYAyECB8NZblEiVacfoqK23sspBhNX89byXRyn6yYypZyWieldyEFF7W5v8c6WFRAkq0irIUKTGDml+llEeDykDju0XnUjlkhTDTy0AAcNY1wDv+s7qZQ++6HjjjP8V7cvqVwJsv9w6srBUUZeX44PsBqmdl21r2e9McYLyveDeQbxnI/RztwXA/3dPBDbZ+x4ZkO3udAEJ2Dk3xiLIoojRqQKjQCfnx9P4UaJZQFE98+a1KqSg8xdblQS1qn17fwHgGbQ0xhEMWf437WvCcUVb2cfzbb57Fim/cgxe3j/je7jgOD4XjBlvJDEso2Q1EhlNPd4z4iNHzRMMhrsQArMU3COmA2UBEVua1eQfIZTRlJWg2UGM8wm/LSM9DmSjtDTHmB5FKP6F8mtef5W0RYlLOilBWqAzEDG+JiDvLpFgZKNYkUmwnR7xJtkRW6Hb+4l0lQ/Y/jPS6j2nzbgNghIcSVOUSDCcrG9THRUucVHkZyN0vK1T8MR6yMsO7gQDXa1PlcER5uCDgDnSsE1FhTyB+1bNQdND/fPvTLPcmFAUWugTHTyEpWgba88pKWmvfLZqzIv8/x3Yo5vlkNKyoKKIMJB27yJtTEM/ZEIsomTCRKbYuU7gkbTKdK+CVvjGsuvI+fOLW1QBEp9NUIv1nIgxZ2Yexc3QSdz7NWk0fCBgrnsnboC46kjZ9c1ZKeFboZJ/UWvlkojDuEppIyMK/nX4Qd8gXa1+WV0byl4+i7nt8yMokPyCpYXeEoxa04fglHfjI8Yv4wUZ+HorGb2uIKiUgthNpLJslsjKCup8A4VnhZSDXs8Lr3BRpHvYpA4VCwucxOewtAyVahcIhZ6tQGaih0+sF8SgrUjlnwJ0xI6saVBKY0LwLevCcDj34LN5c3CchG1aT7cIsbFAbLDoRWHIKcNIXSxOsnqMZuSRT9dwjBcmttBuojq3L5UKfo5P1qK7S8Sordc+MblMWXou7VEL9D6vmY8WCNrxpuUTS6P2xVfO/jKkoK47jcNWXEnEncwX85LFNAID73WM8lYFshynr+woMWdmH8csne/nvs5rivveRyzHNimdFU1ZKfOjp9khYPSlZlsVPznSfWCSEYxd34I+fPwkA88MEfamCykAkz85r91NWihyQwEx3v/r0CfjnU5fxfZPzXIZTkrKiTyTOpbF0ljhw6d1AxTwrVAbi+1NMWQE0T4lOVtq8yorjqPH2Sa2Mo3tNwlEg6r4WCpdr8lFWdKT6/a8n6MFnxcy1AHDMx8TvhfLKgwYVIBIHzr8beOtXSt+3dT5w4DvE3wuODyYddkEofn5loDol2FYCfe5Z0TJQTiIrI9uU7/aqRW3Kdt591Dz89qI3Yn67pIjR69S7qCRMxbMylsnzx5G6O5krcJWZIDcIVJvnMhNhyMo0YtfYJN77g0dw+5qtdX+ugu3gF0+KLo6gD22Kz8AR2SeyskIL4lLKSp4HvnlX0Pr8DLqPrHgEqSuTAWUgTlaKKCtBZSBl3yKkrIjnGZTJCldW3NdVyOKALvGcNEqeYEvvM3UiUDcQ3cSVFTqoRfyJpNKt46es6GQlnxGrunizt4zjl41C2xhwTc5yGShoQJ/fcEUZ0QYopYdifhVAzf2QJlwb7CFQMi4AzD/W33vy9M+A7x/vepIs/88KT7Ddc2RFT3EVCxlNdXUcdfzF6FalxLtqURmTtblnJZhw02ygarqBqDydjIZ5GWoyV/D4/+Q4iJnqWxmayOJ9NzyKXz/VW/rOLgxZmUY8tn4AT28Zxm/WlP8PqhY7RtKeaGY/EFmRa6sFqXWZyjqlPCsUIhfxGT2vR1KT+iCTiIxPuBEQ3A1Eq4n5PsrKZNAByQdEpOTnV6as0gFMmtlyQLs4iOmty7Oa2YE9GrZ4KFSXpmpRG6NQVgLIChEJmtOi36bH5fNpzBYrxfA0UlcJ8TPG0nX9bvu4LOfLc2pkvOt6/+sJlqWWgpq6g+9L+NCvWPnhpH8rfV+D+mLZW9jIg0QbsORkSVmRykC/vUgQ3IZO/1b2aP1yVsrF1eccofxN+SqeQYa5NADpGDeyTTlurFxYBlkhb045ykoVbcVD0nEp4S6E0lk/ZcVfjZ5JeHT9ANZsHqpo4W66gaYRdEKcDrZLJ1xCUJmFVh4NsbD0RbL5l5m6bUqZtQoBZSDAm3VAZCUSshCyWG01UygA8HoV1DKQ2Afyv3Q2xhELhxRlhsftl6GscIOt9AXnBtvGGJBxa/eNXfykv7RNbI+rRo4DZMcRjzfj+StORzgkRs/rZOXoBW3uC9JC4XTwnJPN6jwguk0PdZPbhEMh72q3mLLC02OLlIHe/O/A0ecCLVrSqh/iTUIlmX9s6fsf9A7gi6+rgxYN9gxCIeDCPzGVTu4OI3I9oZUBdV8XgR43XcpKIc+IgmRW/sCxC/Hmg2bjyj+sw93PbufeOs/cMFlVAYDRbdjUL65b2FGGAbrOnpUhaaAiV4TzNiYy/r4coPqk3HqDQkT9cmKCYJSVaQSx+ulgu0Nai1tpZSWMSFiUgYgY0Mm4VM5KrkgZSCcLRGgsS+StBCsr/gm2ZLBtTkQ87dJF69IayjbYxpv5CnN2QtyXl8fu+mfg6vnA7lfQnIgq80qSsbDS8cQlZTq4hYPIShu7JM9JrFmYZv08K3RJZRedbPjlo+jXFSsDJdvKIyqAqqyUapflz92pDvIz2HOINYjPhq6s9GozZwoBJ+c6Jtj64pazgOtWqEZZALNbErz0mtFyVnjUQE4jKyPqit8qZhAnEJlzbObn8QEpz9WQFfLSdTTG2MwyeMtAuYKteFZmakcQdYP65cQEwRwZphF08pwOhzYN2iMEKyuiDCSPLyeZUpSBylRWfE42QcoKIGRY+QsmIxPkWclQq3TEE/HvVVaKRWKHlMcA0kGhISZllLTzg3aokMGnT16KFfNb8eaD3LLJs79gl49+z/d5khJ5WcnJSpllIJrL09DBzKjzjgG6D/OSFdlcC3jLOH5lIA9ZkcpAkZhKOkqFwcmQ/Q3zV5X/OIOZB66suKSj9wl2Of84oPtw4D0/8H8cKRwaeagbtq1hnWvUhi/vijbeI1tKWcmM4ZvvPQJLuhpx84VlKIOAWiYLIHDhKRhsByfEIoqUlbRmsJ3MFVSD7QwtA1Eu12S2fLJiykDTCPqCTIeyopeBgpUVUQaSv0hUVmlwiUbJbqBCcBnI61kR94mXmBGU9ikD2bbDv6BNiYgn4l/3rOizgWTEubLiNdi2NcSAIbdtt3E2UzUmh4FcCpedeZT/BnP+B+b+cXEg627RVqqB3UBt7g5JZOXt3xS3663LelpsWWUg7To9PbahQ6hLlZCVEcmXZUo7ezd0ZWUry/PAyo8CK4uMC5CTjOsNuyDKLz4t1vqiyLOQ0QlVPoPjlnTg/i+eWv4+yApSIevbJh6ZQhlI7lKkBWAmZyvBdWmNrMxUzwpXVnyGyAbBKCvTCDohTwfb1ctAQe5zP2VFDoUrtwxERKISzwogVjx+k48BtfWQ3rdUriBlw0Q9ykpG6wbSpy7LILLkl2Db3hgV9fnGLmnWSZEavL5CK4ZicfuAIAduqqaXfOjKCs3hqVEZSH/OSsiKwb4DuQU5nxXJtqXKe/Q5zKVcMmEDd3wK+NuVtd/HnEYU9F3RjjOe2UBUBrK0WIFKIJMk278jSCwIq+gGkgYq0nF5YCKrLOgyOVs5ls5UZWXEnSXnNzU6CIasTCNEsuD0KytBVZyJjL+yktOVlSJlINt2QC/JtxtIUzZkX0spZUVWPHIFB47jKOFy8UjIE8zmGWRYRFnRu4Fs21FzVuQ4cT7rpIisHUBWLn7bcgDAN98rTYotpazoZZsg8qGXgWjKbhC5kSG3Dbcv9ga6yc/pp8wE4cR/YZfv+d/yH2MwM8HLQBng+V8zBaGpG+g8oPjj5GTi7ATrHnruV8Df/0f08dcKMrnwISueMhCfuqyVgah0Ws3wxRL7AIjFXHUGW1pExfh+bx1Sj0V7jbLiloEq+RiYMtA0Yjq7gSpVVhrjYa545AtS67JLVnJF9jknbdu3DCTlrERClmJWK+VZ0Zm37QhzbVMiokxAJXDHf64Mzwp31bPHjE3mOfFqa4iqCZ08PrzIqiuAyPzLW5bjnSt6sFROwiw3FI6ge1B46/Iw+9ZP6sqKVH6Jt7KIeB2HvReYdRArJXUf5k2arVZZedsVwMrzgc5l5T/GYGaCPp/ZCT5RGCd8trQZOpJgSoVTYKUgKg3aebYtPTxwKpCVlbLKQNogQyoDNXQw30s+zb5T5Rhr/Z43wLMylVA4eQwIjS7ZOqSalydzBS1nZWYbbCuBISvTCD66exo+QGSwbUlEMDqZLxkKl4yKnBU5zTVRhsFWJl+lQuGiWklGlIG82y9I3hlCrmAr5loAPmUgdfVUPGeF3UblJiJ5jbEwO8DJs0+i5Sgr/reFQpYS0w+geNw+4CUHQUpJIcuIDy8D+Rhsg4iGZTGSEoRytuGHUBjoKrHyNtg7QMrKzhfYZUMXcOzHg+9PsCxGSCZHGDkZ3S5umxypLVkpoWroCq5YyBBZcX019Hl3bEaqKhn9UKIUBQAha+rKSltDlD9+95hKzCZzejfQzFZWKoEpA00jRDdQ/Z+LykBdbkhZKYNtY1zkrMilFyoDFftyyX4W324gWVnRlJdiZSC/HvyCO0UaEOmxpx44C90tcbz5oFnK40hhKda6PNdNwF2/mx2s5CwDAGoZqJz4cL0FshhKKitt6t9zDlf/1ocd6t1AMrlJVuk3oTJQOCZev8H+Bf3zefj7vMMng8CHWo4BI9vE9aXmS1WKMstA3M9W0FRXWoDIZvBKfStleFZq0bosG2x1pHMFZOVQuBmbs1L5WA1DVqYRohuo/myFTrpdjYysBLUuU1dNY1xSVqTSS7IMg21pZUUy1AYqK15i4kdW8rbwrJCycvzSTjzx5bfh3UfNY4/TJqsWKwOtcpMpn94yjILtCBNbY5SFTNFMnsbZUny4lhshx2tX0qZZbigcADT3AMvfrt4eCqm+Fd1gG28GQq54WonfRAYRnkRrZZK4wb4D/fPZtqD8x8odQaNSdomeyDxVyKVZ3zKQlrOiG2y5Z0Ui+JX6VsrwrFDcflVlIIms6D5Awl7TulxFGWifISu7R6twb08zKBSulh+gnzy2CV/8zbOebQplhSkEQV+OCYms6CUaQMpZKUKwqEQUssBTW/22AfgpK8GeFXK5ywQnX7AxnnED4eJqFZMHP+XULIViZaCD5jSjMRbGeCaP13aNYWiCIq1jIqbeCrGDGAWy6WRFPkgFdQNteQL4xYfEnB5A6gYqg6wc8Q/+keZ0n/Sw12BrSTNb/DJWykGDRFYM9k/oykpLT/mPpVJPZrzOyopcgvGeCCmioKTBNtYsQhqnoqyU8KxUeg5IZwt8EdneGPXMWyNM5gpKwGbetuE4Dq64+0V8//7XK3rOekH31ZSLfYasTFSQhLenUI+cle/+9TX835qteKVPDIDL5m2umFDUe9CXg6Kam+KiG4gQDVs81baYssInLgcY7lSDrXof6tTxLwOx65KxMGjXlDKQ1gXEM1M8ykrwxzwcsnDUwjYAwJrNQxh2a6mtSclc29DJPBhBrcvyKiqf9q/zPXUT8Mofgedvl+5bgqxEk0D7Evb78Z/2vw/J1ulBr8GW9h2onmzMOphddh1Y3eMN9n7on8/mCsgKlYuyE8BoHcmKrKwUvIoILXiEskIlYq0MFGvwn4VUDkoQJkCN23cqaIWhpgLLYtPci5EV2eeXLzjYPZbBLY9uwv/c+2rZz1dPVKOqAPuQwTazF5GVWs5roBO3XEah2mbIEt6LQLLCQ+EinhJOIhLmSkgxg22xQDhAJSu6yhEPizKQbTuKMkNloGQ07NZibeQksqIPEeSZKTm2mvCsnhyH/WiEadXCdjzy+gDWbh7mgxFbk1HhV6FUVzLC6hKvTl4yI94gNFJp5InFpVqXLQv4+L3s4Ns63/8+lIsysdsbCgdIykib/+NLYc7hwGceD35+g30fU1FWYu5nMVtvz0qJbqCoWm7O6KorV1YaGTnLYIqeleLKCsCOyUHHTB3ywsuyLEWtBoAlXY3Y2D+BdLbgyVkhhTpvOyjYjmdRWi4cxylv7EAJVGOuBeqsrDz00EN45zvfiZ6eHliWhbvuuku53XEcXHHFFejp6UEymcSpp56KF198sarnCmp9nUmotbKSl+ZAyMoEucZbk1HESvT1UxmoSfKsEOLRMKIhMS8oCNS67OdXAbyty+pzsO0/8MpurPjGPbjraXFAI7KSiIaEfFqQ0mvjqlOfZ6bk1botPyD98iPAD94gunBcUPz92i1DnPUrykpjF7ssl6xQRL9y3YB6CZSeDQSwRNliRMGXrEgqCpGmastAAMtikQmQwf4Fnaw0lzkfChBloJFtqvmcUpdrBUVZ8SkDBcXt62Ql2ih50yolK8X3AYByjK3kPKD77+RjakMsjKPc4aiTeVsrAznKsTBXYmxKEK677zWs/I97leGO1aIacy1QZ7IyMTGBFStW4Prr/UfKf/vb38Y111yD66+/HqtXr8acOXNw2mmnYWxszPf+xZCtIAlvT4EYb1AbcaWQp23K0p9sxAqXcJ/TNhrjEV7yIcQjIc78i33IxcRl/49TskjrMn35Hl0/gLHJPB55XUx0TXOyElaSH8mPow8w5JkpOfULy6XeV/4A9L8i4sJdHNjNTsS9gyk+DbRFJitNurKiHYg08uN7ICYCk5aITKnZQOWAyMr4bqboACqxWH46Iy+LT6r+OQz2b8hkJZIITlz2A5WB+l9Rr69rN1AZBtug2UCkrOjbLGsfyvGsiONfJb4VPRdGNtgetaANjXF3VlBWLQMVbEc5FupREOXif+57FUOpXE18LzOyDHTGGWfgjDPO8L3NcRxce+21uPzyy3HOOecAAG699VZ0d3fjtttuw6c/HVCjD0Cmyn/CdCJbY4MtlXAAVVnhLW6NMRA3KFUGaoyFvWWgaEhMYi5Suio2cZm2Q4hqsqdeFpJXAeRZSUSlwDo9YVZCXBpKSEQnEnInO8uEQstOoO3kbQc7htkBqiURBUYCykC6zKwf1NI+ykp6iF3KqkuhRBmoHBCRmtjlNdgCwKrzgaPPM9OMDaqHTKb1rJ9SoG6g3Zpfop5kRV88QDLy52zYUn6TmLrs51mZgrISUAaaqrJCx0t5AXjk/DZepp/M6wZbhyenA0BuihWIYmng5WJGloGKYePGjejr68Ppp5/Or4vH4zjllFPw6KOPBj4uk8lgdHRU+QH2rjJQpeaqIOijwQk8lrkhKpSVgOeb8GldJiSiYUTLmGUhJi6XUQaig8POF4HbP4Hu3DblvnK9NS15VriyUnCUGRl+z5PJ2zw/hucRyMPUQipHT8bCfMWyZZAdtFgZSJoLBAiSo5eB9L+JmPDbc6KtWFFWSswGKgekrAxtZkFWgLdkY4iKwVQg+xT0FOVSoM/i4Hr1+pq3LhcPZONx+wVbURfIlM+PD1FZWQkw2D7wLeDv16rX2QX1eYPi9jXPSrnQy1byMfXQnhb+96RHWVFV5lIz3vwgn6uataGx1WCvIyt9fWw4W3d3t3J9d3c3v80PV199NVpbW/nPggWs5z9bwfTGPQU1BnnqZEUeDS6TNfowtCSiICHDj8Vn8gX+4W2M+xhsJUUjW1RZKV4GUhNs3ef48WnA87/Bu1/9/7R9kpQVSteNqaRpmCc5qif5hFSXFsm8mtsf8B1IQerK9hF20GtJRoQplsgKHcQq9azI5IVuc5zSoXDlgMjKbldmD8dFi7WBQa0hj3AoB6SsUEgaeaj2VBkoV8CL29lzJ6Ihfszg+UixxuLKSmoQeOBq4L4rVDKjE5uCvy8jFLI496skb0v3rMgdjicu6+SLsvFMQTm31MKzMipNddabGqqBvL1KsMeXXLq7uJTj+LLLLsPIyAj/6e1l8yYqmd64pyCTlVqYbFPSROKszwcyFgkh7BIIvw6klOR5aYx5W5cT0ZA0ACyYDJZWVuQykDrltCO1UbmvvAqgFuRENKSEKQ0FlIFkUkSERigrElnxWfW0uSqNPM1ZlFVcw2qgwVZXVjSyIptqM6NMaZFr2kFx++WAykBZd187lpjwNoP6oeIykJZ0O9sd7VBPZaVYGShv42ePbwEAvPPIHrHA4p6VBimiwEdZ4fstzeICiscZaKgma4W6Xel4bFkWHvzSqbjvCyejqynOycuIploUNLJSjWelf7yKoY5FsNcpK3PmzAEAj4qya9cuj9oiIx6Po6WlRfkBgExhL1BWpA+KXYMykKysyNsmFSQaDiFMsyh8no8ez4y0rCVOJhyJSNhjTPMD1UuD2vCKGWzzIdVcqpSBssJgS8a0XN7mX0i9DCSvNobTWfW55TJQEbJCaElKZIWkbF4G0g22umdFKwP5KS3yY2qhrBBKTcI1MJgKKi4DafN/ug9ll8WUlfQw8NxvggMW/VBm3H7edvC7Z9mMonPfsEjcgTqVYk3FlZWM1PyRkcmKdkLXPSv5DPDC7cDEgFLSLheeGAYAizobccBsdmyiRZlOBPIFRzmm6nlWjuPgzy/0oXcwOHl7YFy8n5kaiAJksC0W1umHPUZWlixZgjlz5uDee+/l12WzWTz44IM48cQTK97e3tENVFtlRfGsyNuWyEMxFk/m2iYpCVZWV+LRkCf50Q85rqyUEwqnEppCWD1RywqZbLClxw2lstJUZFWRiIRD0v00ZUUuA/k49duS6rZak1EpZM01rIYDatm67OwhJz5Ki7yNqXQDNXQCkN7TjqXVb8vAoBR6jq7s/jHNPzXbJSvpImTljk8Cd3yCeUPKRZllIIAde4+Y14oVbrsvAKG8RhuKe1ZkNUUhK/oIDu0Y8/xvgP/7GPDAVVXNB+KDFwPC4KgTkhZpfDdKlIHWbhnCP/1sDS75v+cCn1tWVqrtJpIx6rYuz26u7LhX126g8fFxvP66aHXauHEjnnnmGXR0dGDhwoW4+OKLcdVVV2H58uVYvnw5rrrqKjQ0NODDH/5wxc+1NxhslZkNNQiGmwhQVnKS0z1UjKxIbcuESMgCfTQTkbAn+dEPNIa8LGVFY9N2RB2OV8pgu3tcTEX2Y+aJKIvOH57QlZXiZaD2RlVZaU5EvFOMA8tA2kFNXxHq5CU1KKk1samVbUJhRljIX9O5rPptGRgE4by7gC2PAUd9pLLH6WWgbncYZ2aUJT37LXBeu4ddrr0VOP0/ynueXKluIPV5TlwmKUT5rFBClG4gjYAAmrIi/e5ZwGhkZZiVnjCyVYphqFxZ0WerEWhRppeB8rajqPg6Wdk6xF7j5oFgFUsmK7VQVuhc0tYQxZYKHldXZeWpp57C0UcfjaOPZmz8C1/4Ao4++mh89atfBQBccskluPjii/GZz3wGxxxzDLZt24Z77rkHzc2VB1BVM2tgOuE4Ts09KxOBnhVRBiqqrGQovVaQCVVZCfskPxZwxd0v4sFXd3uer5xuoKh2H1tTVtTWZeFZofJRvzsSXVdVxHOx+3FlpewykNheAxl6qy0D5SbYLKDf/yuTu3VlJT1YOr22EpBvBTBlIIP6YNmbgTd/ufLOMr0MNNsd3wBHVSYIMgFoqSA1OV+8GygSDkE+9CydJZEoOayuVDeQvM+VeFYoeykzpkTulws+HiCgdZiOe17Piq16VvLqc1LZqH88i/W7x3HZHc97SkL9UhkoWwO7BRmLWyrsLKqrsnLqqacWbdG1LAtXXHEFrrjiiik/1+QMJyt6y1gtuoEUZcVH6ouGQ0W/GHJ6LUH2lCSiIc7kafuPrR/ALY9uwtotQzjlwFnKtoPKQPKqJhIOKd04TqQ0WVGVFXYA0ZUQ8VyuHOqacBNll4HE9lqTUXZ/x/1iUm4J7wbSc1bcL3O0kR34shPATW5Lfj7jrfOnBmsTCEeQfSsdRlkxmEGISWSlcRYj/pEkIxeTw95k5W1rxO92BV0jueKeFYAdG0itXTZL2i9SQkNRFiNQtmeliLKie1bIo5MZVQIuy0WpOWe8dVlTPlg3kJSzoikr1JmTLdj43l9fw13PbEdHYxRfevvB/D61VlZoHyolK3u8G6hWyMzw1mW91lfJBzUIqsHWK/VFwlZxspL1loFkZSURDYtJxu6Xhbps6FJ/Pj+EQhb/kkXDIeUg4OhlIGnG02RONtiybZOyoncCEeJcWamwDCRtryUh+VWssGgFDspZoddDc3jkMtCGB33KQJJnpVjUfrkgshJtBJrnTH17Bga1gkxWWuaxS+qu8zPZ9j4pfh/d5hsz4IsSs4EAtclAJStS2zJQvrIikxV9Eru+IKIuoslRfiyr5BTgGQ+gIWiwYcF2fBeyBFmJebqX7ePghLrvdMwFauNZoYW7nkBeCvsMWalXGShfsHH/y7s88lql0PevBlxFaT32KwPFZGXF50svAuH8DbDxSEhJfgSAMfcxMlEiIlRsQBbVVKNhSz1IaWmysrIix+0TESKWH1gGcveXykANfqFwJbqBWpIRtQREnpKguH3aHmVIyMRovE+UgejArZSBakBWqAzUudS0LRvMLMhlIJpxRWqKL1l5QvyeHfcvFfmhDGVFPka2N0rHDzo2cLJSRFlRDLbS/pfyrPiUgaaSs6JDH2zId6uEwXZEWnRuHmDHLT0Of2Citt1ARlmpUzfQn17ow4W3rMZ//eWV0ncuAp2s1ERZkeP2pVpilpeBLN667OeRIcLRGJOUlbCqrMjJjwAw7sqG41KwT17yyASBSEQ0HFIOUiGoUm8mb/PSodoNxLbNy0AN/h/0RJCyIpeBfOTlNl1Z4WRFiq4P6gbyKCsSMbLzQlkhP0lKal2uhWeF1JTO5VPfloFBLRFtAO9W05UVfYaW4wBbn1Kvkyc1F0OJ1mUZnkVVrhJlJagMVMKzIpWBIu7TVzMbKKjdt5iyos4GUp/TbxGutz/Xuhsoz5WV/ZSs1CvBduco+xD2jVY4J0KDTlbq6VkRrcsiTK3gQ47kqH1CVPKdJCIhLjsWbAf5go3xDPsgZws2/wKVmroMCGUlEraUg1TYZ4YGfSHkbiCurIyxg0BbwAe9yWXru0bZFyxRdhlI86z4DQUMNNi6X+akTxkIYHN7AEFW0oNiH6YStU848oPAqguBk74w9W0ZGNQSliUUxVaXrJACqRvPJ3a75RJLEO/RKshKUEy+iwXtaulZTFx2y71Umvb1rAQZbHXPirYgojKQnUcyxI4fFXUDlSgDBSkruYJddDaQ31BBPWFWLgPVwm4hlJX9tAxUr0GGdOKcaplJd1HXJME2IxunHM/vMTkUzmf3U9yz4t8NlIiGFdkxk7cVRYV+F1OXg8kK96yEVGUlbHuJAykqcjcQESEiMEFloFaXxHCiU3YZSFJW5EA4eShgqdZlUlYKGWbWIwxuYJdcWRmosbLSDbzzWmDOEVPfloFBrUGlIFJWiNTrXq5+d9hh+yKRFzSytbznUMpAxUv284LIiq6s5Cox2OqeleBJ7C0W225lykopz4r/9bqyUsyzQpCVlXS2oHSd1rQMtL8qK/WK28+5rV7VzFSQoe9frWcD+XYDReRQOO/+j/soKzpZkWXHbN7mnhX58aJ1OfjjJDwrWhnIR1kh9u7XDUQI6gbS2XpDmd1ArdIXpyURkQLhJGUlqBuooCkrgP/UVSITI1tFB1EtPCsGBjMZLT3sctZB7JJIva6s9L/GLrsOFCpM2cqK3Lrsr6x0NbHFxjlHay3RnjJQuZ6VIsqKfIzJZ5T9a7HY71OZuqwjqAxU0rNSgqwMTKivq6YG25nUujydqJfBNlczZcXbUjZVTEieFb8PZLRkKJy3dVlWR+IRZtCNhCz+oZeVlTGurJQuA5FnJRK2lLkglo+yQuydG2xjYc+QxCBlRWfr5ZaBYpEQmuIRjGfyWtS+rKyUKAMlWlj3kOMjlS45BVh6KmCF2AGY1JZadAMZGMxknPMjppoQWSeyktLGUhBZ6Vwu7lOuZ6VEKBwA/Pazb8JzvcN4x+Fax5ynDFQDz4pcBtKMxM1WGkCz7wIyCNkSBtt4JATL8jZP6d1AumfFb07P6GSOz+iTuz6B2igr+SqVlX2GrNQrwZaXgabIKOvjWfGaagFV6Sget88e3yAbbGXPinuij0VCyGcLyOZtRc3xKCtFykCkrMTCIYWshHyIA/0vucE2EvYQoaDWZZ2tlxsKBzB1hZOVcS0QDihSBpJKOrFG/w6GYz/B5PDuw4C+54FND7uPMWTFYB9H5zI1WTkZpKy4ZaCu5UDULdXIykrf82y6eEsPsPAEtfOtDIPtvLYk5rUlvTfwMpBbriqasxLQuuxRVqR90IzETRZbOFUyG4jU5qAykGVZSEg5Mny3CsE5K7btKEq5uI+DdK6AhliENyoQaqGsMMLkYNbws2jBeMn7E/aZMlC9DLZEMqasrNTZYJvzUVZiEaus1uUmybMiJ8xSZokYZlhQyYrmWQkXKQNRqSkRVctAli9ZcctAWeE70UtMQd1ArckAslKiDAQImbgtGRUHJcWz4hILO6/2ntNKLhzzxosTDjqTXS44nl1yslIDz4qBwd4ErqwMqNcPSGUg8reM9LLL8d3Aj94C3P5x4OYz1K4hu6CWXQPKQIGQJy4D1SXYUs5KyEd91SZMN4Mdi6rxrBQb/icnkRMKtq0uZKXzxNhkPjDGhub3DGsREJnc1M+zedvGUdZ6LPnte3Bl/NayH7cPkZU6l4FqrKxMtXW5YDsKi1amLud9Emx9WLxfN5DuWQHU8eqKwdZ9fF5qlQ7CBScuxjlHz8PbD5+jyqLFlJW812BLCC4DBXhWSpSBAOBf3roc/7hqPk5aPkuaC+TTDaRvQ1dW+JN3AkefB5x3JxB294vICqEW3UAGBnsT/Ay2uUlgaDP7vWu5MNgOb2En/p3Pq9+54c3SYzVza0AZKBC0kOFloABlxXFKT10mM7FCVtQyUJNLVqrxrASVgQDg5ANnea7LFzHY+nUC6bdREnh3C3tPauJZydvosdgss2WxIgMtNewzZGWySsa3YySN6//2WuA/rmbKSqG2yorsVwG01mUp/r7Y0CzaRmOAZ4V8JjGurKgG2zH3PQucupxNAQ/8J7BrHVYtasc1HzgKs5sTHmVFH86VydnIF2xeXkpGw0r+SzhkBba96WWgRJndQADw1kO68Z1/XMFKVvrEZUCUgfRtyG3IdMADgMbZwLuvB5a9RVw3/1j1SY2yYrC/gcZPyGWgwfUAHJbB0jiLlXqijUzFHNwI9L+ubkNWSktlnJQCD4XTy0CaspJLq16UzBgjMC/eCTz+fXYdLW5kpUcrAzU6jFzVshsIAC56s3cumD51WfaskLm2s9G7YCIvC4Vr0oTkmnQD2Q5ibr7WopZg8qVjnyEr1ZKJK/+wDv91z6v4wP973Pf2mhlsPcrK1MiK3Lasb9+vDGT76H20DXWQoTobCNDKQLLBNlOidfn53wAPXAX87Ur1evnLm88gFlEfl8kXlFlPiWhYKU+1JaOwApJaddNWJWUgdSf8DLYBZEVRVqTETn2IGwC0L1YHtDV0ld4XA4N9CbwbaEiUU3e+xC67DmReFMsCutyT78Brws9CkNUUXVmxcxVm2VM3kF4G0kiQrKoAzEg/sB74v4+L66h8JR8ftDJQI9j+VqJSUPmlWBnogNlNOGA2O+Y0uwvQfJG4fU5WmmLoaWUErcMlLnQblYFIWamFNzRXsBGz3GNwofz8sn3HYFulPLV6I2P363aMYnQy51mZ0+p+qvKXHqZjT5GsjGvGqJxPXVKeuuxHjqiM1BCVQ+HUqcuA+IKkMgWl9ETEhc8G0ruBdrupv+M71esVWdRBY9hRbFaTORtpqbefdSWJL2lbgF8FKOJZKaMMpMCvDBQKAaEIW10pZEX2rEjKip9/xbKAD/4ceO1edt8VHyq9LwYG+xKoDOTYLHwx2Q5sdWcCzTtG3K/rQGDHs4yo6GRFDl4kUmGF2DYB9v0Mlala6q3L0YBQuIyktmbH2XM99j1GWmYfyoIZ403AlseAgtwNNKxshjwrlfg/6PxTTFkBgLs/+0b8/rkd2DqUxnf/+pqrrPgbbImQtCSi+M4/rMCOkUn87PHN+Pvr/T5loDjfD+oUqgYF24HjgCsrvlk2AdjvlZVDe8TK+c613jY5YpJ68l+lqLWyMqGRFaV12Rbx9yEeCqc+n+M40uwd8TGQP4OJiKqsDGrO8HFdWdHJyuB6dqmHP2k13MaI+t5k8gUlEM6yLMUPE9QJBATkrNi2Oga+LLLiEwoH+HcEBXlWYj7KCgD0HAWc8iXghIvEKtPAYH9BJCa+GztfZO3JNMBwwXHifpRi2/8aMOCWgeYexS5lNYW+f7IKWkkpiMpAUT1uvwhZoUXMmlvY5Un/Bhz/KTFKoGg3ENt3vXOnGKj8Eg/IUyE0xCJ4/zELeANCsZwVKvW0JqNYsaAN7zh8Dvf8cYNtWlVWgKmpK1z1J7JSIm1Yxj5DVnIFpyofiHzSv32tNy2xVgZb/R9cc89KwfuBjIYt7iPRn48xZPZ7QioDyffTDbbyjAhAVlaoDKR9nAZcspLW8hT03IEY21/uOM/bSiAcoBp/g8y1gE/OSizsky5ZSRmoWb2eyIps4qPug0hCHPD8HmtgYMBAJP2Ws4DrVgA7nmF/y2SlyyUr258WLcxzj2SXclk3N1WyEhAKV8iq5SR5ARNvFdc3zgIOeRf7nY4PsmeFlBW35EsG21S2cmVF9/cFQQ4DVXJW8l7PiqxG0+8j3LOiGmzlfakGgqy478/+SFaA6tSVMcmD0TuY8txOb26u4EypdFPrUDg6mdMJXqlLSmUgqp7oZGUyK3lCJId53oesUBloYFw9AAjPCtuWkjJbyANDG90nG1a/9Fm1t/4Tb5iHdx/VgxOXMeMdIyu2sg+yahPUtgyw1yx7cJLRsFoCAso7kPkZbIEAZYXIita6HNTGbGCwv8Mv7bllnpjMDLAyEADscv0sjbOEJ0Qx2LqLkWiSlWmBik6Cga3LgNoGLaday9/tYz8puvro+f26gdoWAgCSNtv3ypQVN2clIFZfB5XNWc5Kcc9Ki5LezX4f1Twrs5rFezIVky1ly3BlpYI2832KrFTTESSTlaFUzhNHLP89FUbpzVmZmlJDJ3P6cCmeFWkKcpCyQm3B4ZBaYpGDioh88DLQhFYGmswrj1Fal0e2COe8Y4vVRSHnIQvvPKwT133waJ6km8kVlCGGgKratPu412XQexIJWSzeXyNHJZUV2wayPgZboIwykOxZCSgDGRjs7/Arf1K7MqFzGfjEZoCVhchPohhs3e9fNCGykCpRVqhEHNWUFUAtBcmm+93rxPXHf1r8TseHsT7gke8C47tEGahtAQCgwWFkhXKktg2n8aOHNvDuSj+U0w0kQw4D9fOs/HXdTvzgAaZ8K2TF/V33rHQ0xviitRbKSpwMtih/0b5PkZVqamm6UXVIOyEHOakrhcezUkF6oR+ImFGNkbbvOI6Yghy2AluXycCaiIQUs5Rf/gvVST1lIEqw9WtdHtigboRKQbIxjqabuuRBznNJ85WEXxmoeEwzvSe+nUBA6QNZVnL966WciB9ZkQ22JbqBDAwMVGWFcPBZ6t/RpJp8232oiAaQjyPkJYk2+n8/S0EfZBiKMLMuoCo0E7vZZaIVOOBt7Pcj/hFIton7UBZTehC49yvAI9cJz14rIysJmy2eqAz0/ftfxzf/uA63r/Ef2ug4jigDlUlW6HiZlSIgAHYOm8jk8c8/W8uvmyOVeMjzN5rOw7Ydrr60NURFV+gUguHoXBEPVb6NfaYbCKh8fLXjOB6ysns8g9lKfU78o6fSvqw/1q+VuBIQMWtOCCOVbTuwHYd7UWLhEGSOYtsOnxVEykpSSz3M+ZAoqpNSGSgatpArOJLBVpAjDjLEEXSyEoqwk3k+zaVAkjhVz0qIPyehmMEWEMpK0i8QDih9ILPCwMlfYvsa1ToKdGXFcVRlRc5ZiRnPioGBL2Rl5X03MgXimI977/feHwLrfsu+W6suBNb/jV0vKytUbm5fJEz9FZWBtNZly2LPl0upygr5aroPAw57L9uXlR9VtxXSTqm71on9m7sCABAvqGWgvhH2HLvG/Pc5VxDH9GKhcDLoWJzWfDGZvI0Xto0gW7DR3hDFJ09eincf1cNvb5E8K6OTOX7+aEvGEI+EMIYpKivueStpeWP+S2EfIyuVvYmTOZuXRxZ2NGDLYAr9mi+jZmWgCjwrk7kCdo5OYlFnsOeBTubNUveLbJoFWBlIfp687SBGZIXc5dqH38/4SySCykDdLQlsHUrzEprv1GU6aBCIrPC0yEYh2boHFjnPhZOVGCkrUutyiQFYZBJL+gXCAaXLQPEm4C3/7n8brZxITbHz4FKm8awYGJQHObPk4LO9iwLC/FXsh8DLQNIChFTcjmXApkfY7+WY6AEW1U+eF1kVjcTZc8ittdtcNWLeSqBjCdDhQ67C2kKq90m2HSsMdB/OnibPjkdEJMjEGhRMKi/Cyy0DkbIyoZGVXMHGc1uZh+a4JR34zKlqkJxcBiK/SmMsjFgkJJTvqXhWbCoDVU5W9q0yUIVv4liG/TMsi5EVAOjX2K3qpK7+n6TvW7FuoM/e9jRO+c4DeGrTYOB9dM8K4Ep+UhlHjtsHVDUnnfVXVvxIFFdW3HHhPa3sgEE1Vt/W5QGNrJAUytMivZKt/GWgIY18WnOZ3UCA+MLxMpAe5lRpwqUMvSYur7z01mVTBjIw8IdsYg0iKn6g75dMVmhh1LlMOqaUqazI25FVUSpRE5GZGBAR/9Q+7YewtpCiknL7Iq4mRfPjAER0xIhLCqhdWId83qm0GyitdY3mCg6e3ToMADhyfpvncXQ+GUnnOImi462cZF4tqBspblVeBtq3yEqFZSAyiDbFI3yIHZ2QCTmfluBq4FFWinhW7lvHQtSuve+1wPuQ8tAkKyt5W8mDYa3Lsh9FPKc8d0fdLz/PCrsPKShzWkWaYTZvi1A4uQxEB5CmbnZJ0dpym2BYJytCWVm3g9WhSV2St93eWMKzkqChiS5Z2fkCuyQD35TIilYGkluYw3FNWTFlIAMDX5z0RWDJKcAHfl7Z4/wMtlRy7lzmUWtLgpeILbFtQPhQSBHe/jS77FimelR06GSF0LGMkyELDuLIcbJCpID8ITr4EMNwiJfxS4FU7vFMsLKywoesUKz+rrGMRFbYa6Lj81QW7UZZcTFZobJCnouWRBRdTeyfVKwMNDVGWXnOynMuA/YD95xEw9zPwYiDUDksy+KhcPpzTmZV5YLgp6zopSIiKwDLqRFTl93nymfZADJAzMLRPSuxBk9mCfes5Gys2czuf8zidv56CCU9K66ywluYe59gl4vfxC7LlYj9QAcjXVkJRVnCrSkDGRiURtsC4Py7gUPOruxx3GDrkoz0kJje3LFU+n6W+R2XlV45EbPRHYMx7ppqiazMW1l8e6EAstJ5gEKGEsginS0oJtbgMlBl5loAfJZaSlNWdo1msMWN6DhiXqvncd0tCVgWO5ds2M2O1e0eZWUKBltPN1D52KfIylSUlU4iK1oZKFOrMlAVCbajk3k4AUbcDM8hCXFpUFY5ou518km+4KOseA220n6u/jHw/ePRmVfj8tsaolyRGc/kpdZl9+M0tIm1K8eagNmHsOuoDERtgrEmIQWTwdYlRYOpLF7uY8rKyoVEVsqL2wckz0o0zGrSNE5+8Unu801BWYlIZaBNjwD/c6h7vUvgoqYMZGBQNxBZofIN+VWa5rDOPe2YUhL6xGVC42x2ObGLXW53/So9JciK7lkhdC5jRMo14CaRQTpXUEysowHKCp13yvWrAOK4rwfP9Y2yxdXizga0brgb+O5KoO95fnssEuIL95dcdbuWygotpuPYz5WVSpUPCjVrSogyUP9EEYPtFP5JVLahf3ixbiB5CubmAW9QHSCIWSIS5ow3V5DJCvuwhgLISjpbhsH2uV8Du1/GorG1yn1ak1GeiTI2mec+Ga6sUAmoY4loUeRlIMo0aAg02K7ZNATbAea1JbmKQ2Wghli4pCN+xYI2hEMWVixoY2787Dgrycxx0y9rVQZ6+ffi+nlHs8ty4vYNDAyqg26wlf0qgKTWllsG0tqWCU1EVnazjr+tq9nf81ahKALLQG4J2iVFCYspK2RiBdji1A90rK+ErIRLlIsOmN0M/N/H2Pv36/OV2+a6x9y1rro9u5n9XQvPCj8/7e9loEqVlTHZs9Lsr6yoPerVtxuTGZUktWKeFVmNXLtlCLbteALZ5IRX+UOU01UOqAFB4vFlGGzd5MWko74nXU1xNMQYWUnnRBmItxfzGvIBbEgZIJWBZM+KKtlSGYhI5MpF7fw56ctXqgQEAMcu7sCzXzsd//LW5aIENH+VMPLVogyUz4oBjcd9CjjvLva7CYUzMKgfZIOt4wgjP5EBvpgotwwUQFbkMtDQJkZawjHefhyIILJCZMpVYJNuGWhImrdW0rNSiqzkJrmCrXRm+kBRpwfXMw+Qe7wnsrLJXSgvncXeG1okTsmzYpQVhkq7gcZdAtGUiKCrkTwr4sRcsNV5Q9lC9bU6OgHTh6RYgq1Mih7fMIAv/uZZrPyPexUPy6QUv0zEJFvwloEASMFw4jn5EEPtC6BE2bvJi3FHna0zqznO/SCpbMHbuswPIMtEnoJvN5B/GYiwcmEb/51eT6kSEIGUH14Cmn+cf/pspZC7gcZdiXjB8UDI3XcTCmdgUD/IJtj8pFdZqbQMJCu9MuQyEA1ZnLuidOeSn2clHOOBcLT/CWSRzqnKSlbKl1J2Me+vgnvw47cB314CjO30KCu60KJPp8dP3gNcdxQw0Y+5rUnlpmWzmtznn7pnhYfbYT/3rFQat08G2+Z4BF3N7EQ2OJHlM4D07p+pMEryx9CHpJhnRX7e3z+3A3c8zYZ4/e3lXfx6PpVYKgMpnpWI+HTSB1eZyRWgrHzvQyuxYkEbbv3YcTwiP+Go00dnNQmyMpEpiFA4vQzUucxbBpLHsWuSrd6ZtEpSVo5d3IFjF7fjI8cvQkUg813bQmnIWF59MyqBbLAlstI4S9ze0Akc8X5g1QXqgdXAwGDqkElFNsVi7QFBBvwGjRYDHZeS7er1chmI1NkFx5fenqyszD+OJd2e8FmxmCGyYmWRtx3s1pR8P5MtLwOVmgu00/WevPonNUYC0uLNRWsyqgbY9T7O3ouND6GnTSVky1xlpRZlIO5vrEJZ2a9D4bhnJR5Bh+sTybvu7PbGmKfdeCr/JCo5CWWlNFlpjIWVUB8yAQNSqJtksM0VbN79Ew2VqaxoI8cPmtOM3170RiYpup0uMVtVVvQyUF6fukymN6UMNMwu5ZVMRM0skVcOiWgIh8wVc3k6GmP4zT+diIohp8vKBxI7B4Ti/o8pBlmdIfMdtWcDrIb3vh9Vvl0DA4PSCIWZulnIsIWPvmDQjiklQd0+TbPU62l747uBra6yIk+ELrZ/8jY+dJt6u6SsAMD2EfXYOprOY7aWeEAVg3IzVpAa8CgrTfGI4olpSUTYsZlGCBC2rsbcuW/gfzbHI3yIYbyWnpX9vgxU4k38wq+fwb/9+ln+N+8GSkQQj4R5PgeVgnQlRS7PfP13L+KTP3kK45k83v+/j+H/PaiFoEnIF8SsG+5ZCSArjuPw57nwjUvU55f2hxtso2HFpc0/DCGLGad+/69CWXFkz4rwvPiCJoVCJStN8QiSsbCirOTl1uVsChh1Z1zIZaDMKKsj8xpxU2DOCsACi6Llfjn7ngd++GYRxS2DDlqRuOrUv+Us4MHvlLd9GXQwzE4IHw6twgwMDOoP2WTLFwzud5Arn2WWgehk3ah9hzlZ2QnsfJH9Pr8MsiLDL4/FDZtrtNhxacewqlr7+VZo0VxUWSlIJ//UoJp5BTWPCwBaG6LeMSQA0PuEoqwsnd3EZ8cVU1YeXd+PM697mEdOBEGQlf28DFSsljaSzuGOtdtw+9qtXHobl5QVQEzzHXY/MMXKQD97fDPufWknfvfsdjy5aRC/XN0b+Nzy/CEqAwUpKzKJ+cCxC9DdEpduE88vk42o1LpMH+wDrC3AS3cBT90EqgjJ2xbKSsBHgKYkA4gVxBeKWHaj+56lswUeJBcNW8CI+z7EWxhRSUi9/JMjxXNWJGVFLgGVxN+vZa2FP32v11jHlRWNrGxdDdx/JbDr5fKfBxAHw1FWmkMoCiTaKtuGgYFB9SAz7OSoWDAQuaAp6dJiqyh0skOg7TkFFsPQuhBomVvZfuqlJYATrZYIOyd4lBW/MlDAaBQFeWk7qcGSZaC2uCViJGTseBZzJa/xsi7xRzGD7ed/+Qxe2jGK993waPA+Qiz4o85+TFaiyBc12MrkgD4QpKxQxDCVNqg3PZdXCUXWJUN5aZLlTrdvvZifhUpA8UiIKxlBZEUmSJ1NMdz3hVNw9pFz3du8OSnxSEgZ3U0lmRZLfHhjbrSxbzdQGcpKpCAYOLV4k9dlIpvnkzTDIQsYcVWVlnmsJBIKC9NpZlT1rJBKkU8DmTFl5bBqYQVkRTa9PftL9TZqYYzE2b5Y2kf+oQrVFSI89DobZ7EwOAMDg+kBKSsjbvCkFRLeuBZ3KN/ItvK2RWWgRq0MFE0AcWmhVU4JSIffIsbd96YwOyfsGFGVlVGfgLhMoYwykDzDKNWvzFIDxOKS0B7xKZNFEoCdR/eOBxCx2HMumy2aBIqFwpXrF6UF936trMyyhoqWgeQYeZLa5JwVgHlEACDlXq93/5BqMSk9z85RdjIs9tzcyJuISv6RALIiEaRoOITmRJT7XGRClPFpXZbLQA1SQmAixK7zIyuBZSDymACIFgTx4cqK+16lswWpdTkkFIfWeWJbcbcIOzkqdQNJZaC//w/wXweiYVIYiFdWoqzIEuij31VvI7JCXTx6aNMLtwPDwaqYB7QdIiumBGRgML0gsjLkzupp6BILhhb3uDNaJlmZCCArgGhfBqojK7oPBuD73hxmx+cdw7qyksdtT2zBkVfcg1+tZmSMmiGKti7LM45Gd3iUlWa9DGSpz4uGLmYGBhC+/UL8NPHfAIClirISHAp3YLcw2gxNBPuFaMEd3p+VlThyRdmdbJYddnvb5QRbQKgFpKxkNWWF3mj5eXaPkbIS/NykrDQnIpysBLUuy4MI6QMXlQy0hEmpjOPXutwQEh+YmEtWlNlALtkJVlaG+a9hRVlhJ+ukq0JNZPNiNlDIAka3szu2yGTFlWYzY6JOGm1QiUMuhbmZjThxWSc+cMwCbnguC/Kgwv7XWGotQVZWAJ+ESQfof7X856Iy0NgOdmnIioHB9IJSommwoPwdbJ3PLstVVoLKQPp1lZCVN17M/C1HfsB7m5uz0hRiJ2tqoKDj6mg6hy/fybp6Lr2dXdLiuiVZpB9GHqg6utVjsNXzqVpCLlkJx9i+vulfgVUX8tuPsV7C4T3NOHGZIGzFPCuy6vN0b7BvhXtWqiAr+0w3UAz5ouqGXEIZmnDLQB5lhcpAefcx/t1AMlnZ5fpfigXGjbvTnZsTEU5AApUVSfLjxiYfskL74mldjrDtJhVlJQ8gxluygXI8K6IMFM4LsjKrSVVWUpKyEgmFhOJABw1AKCuZMTWEKaJ244SzI7jtk2/z359iyIxKfzhs38nYK3cDAf6hTRP95T+XTnYMWTEwmF7oyoqsitAiaWw7W7SEivg8Cjmv50UGXRdtALoPL3//Tvt68G3uvjeGVfVhUWcD+sczvpH71PDR1VSke1FWVtJDiBRU5aRTW/w1wb29bSHwiXvFDZfvBL7Zjaidwe8/cTgg5VoV86xMSDOI1m4exlsO7vbcB6AKh7N/KytR5IsabOUyEKUGUqpss6usNOjKSoDBViZFu9wykH5fGXJSrsg8KV4Gkt3cQlnxL+PEfWYDNUpBbnHLT1kpvwwkkxVK+uXvVaYgtS5bQn6VlZUEKSuj0mygRu+Jv1xTHMBqtD9/P/DYDzSyAnEAAtRuIMB/dsfELu91QdDJjt5FYGBgUF/ENGVFJhpN3czDYudFW3MQaJFihYXnRQZtt2dlcDJtpSCyog3yW9TB8mP8DLY0XLc4WVG9L9GJHcrfbZqyEi+4x+F4s3I9oglWEgLEwtNFMc/KhNRE8tTmwcDdzBYchGEjhMrT4PcZslJKWcn6kJUJd3w2mY8a4mQaJYOtP1lRykAu69XTbmXIZKWUspLlnTXiXyOXeQBGvOjxssFWng3UZAmCEQux/fVXVkqXgUI5bxmIm5FzBW6aioQsIb/6eVZKKCsVkZWtq4HX/gI8dr1aBgJEWi6gdgMB6kGHOpVKHdRk6Pvc5L+CMDAwqBN0ZUVWN8MRoNnt2inlW6FFSmOXv0l+rjtL7MDTq99XHW7rslymB0Sk/WhanPRJ9RbKSpHSuKysAIiO62RFI1t0zNTJCiCO3VTSd0GLenkfCXQuBYAnNg7i9V3jvruZL9hVpdcC+xJZsXJFu4GUMlAqp7T5crJCQWdZMtjqOStEVsT1Shy/S2ayeVuZlqwYbF3i4UdsMnlx4lfIitt7TORJNvgmIiEkLPLY2HwfGh2JrPgoK5kKPCuW9EWgLBpSVsalqaHMs+KjrHCDrdS6HG3wrlYkNUeB47AfGXSgSQ0w4y4gVBNSVhxHUlYS6n0AYNbB7ramUgbykY8NDAzqB0qxddwTpF7CoWPPyFZgbKeqtMoIylghrDwf+Nxa4ITPTW1/ZbhESy7Tz2qOY147u17OWaGF5EA5ykpeVVYiEypR88xUo4Uh+QlltLgl/FFVWaGhsju0dmtAKCvLZzfBcYDr//aa727mCjZiVQTCAfsQWYkiz9t5/ZDTDLaybEX+Cx50lhUnfxm8DBRg5M0WbKSyeZz07b/hwltW8+t5uSkRQdjyV1b+/MIOHP61v+D2NewDEpXKQLpnRVZ2Er/+AC574Uy0YAKZvFBcGhSy4rYuO9WVgZBLwQJ77laXoTcQy5ZSEcO5MdHto5AVV8GYHBZfqliT6KzhOxWgrDx2PXDlbGDbWnEdtRzmJ0VkdpsbxU9/y5NXiWQoZOUgdjmVMpBRVgwMpheeOT4aWSFl4DfnA/99IPCfi4E1t3i3w9uWu7y3ASx6oXNZbaMJiKxAKCtLuxp5/pZCVlyPSHmeFZVAhMdUVURWVhLRkKSs+JAVev80k/JcTlYmlcW44zjcs3LZmWwBePez27Ft2EtqcgXHKCvxEjkrMlkZmshxtSMeCfGY+AapHZc9RstZ4a3LAWQlb2PzQAo7RzN4cqMoRYxL3UB+E5ABYO2WYeQKDp5wH+dXBqL9kadwWuvvQ9xO4S2hp7F+9zhXX2SyEnfLQIWCXxmotMHWgoMzDmrDCUs7caCbBU3vlWwIi1GdNNmuTh8mZWVsp7gu1lB+GeiZ25hC8uqfxXUywXDc/23bQvfFuSspebXhZ7AlZaWSMpBMsEJRYNYh5T/WwMBg6tBnbukmd3mhRHjxTu91xTqB6gUtbh9gWSYd7iBdWbVIxsJIZfPcQ9lZtAykEoOQ5uOTPSvJaFj4/BJ+yop/+zcpK5m8jSFpAONkzubq+nFLOrGkqxG2A/QOehNyp6Ks7EPdQLmiBlu1DJTlHwA52Y/KQKS6BCXYTgaQoqwUq5/OFeA4DizL8jXY6soKbZuITdTHYJvVlBV5YnIBIazZPMTn6SRtkU4YQ0F5TsdxygiFG1b+/ME/HqyUPDhZkQxhkXFqW56vPJZ/Iajd1wq5s3rKMNhOjgC71rHfB14X1+szLQBBVsizwueDWBJJkVr6uLJSZRnosPcAjZ3lP9bAwGDqiJVSVqTjT9eBLJpg61Pe7qBiGSv1gutZiUGovstmNXHVgsy0ACurUwkoHgl5UmgV6GRFKwu1S8pKQyxS3LPS4q+sxCNhdDXF0D+exfbhNI+XkBPaG6Jhfu7yayLJFxzErP28DBSzclxxeH3XOD5+y2o80zvMb5fNskOpLH+D5WS/RtdgS4TDUwYqUDeQPynK5W2uyjiOUEDk8LlIwD+SiBHdV1VWLOU+viWccARDqRxe28nKMEnb61mh2UDZgmDC8cAykEYcsqphitq8ZeLGpcdWbWXDlRV3Qmq0kUmsHrIy7N2PrU8B5BwfkOYvjWtkJdYkDjq8DCSZa93yG/fMAEDncndbfcBdF7FwulJwpP/9sZ8ofX8DA4PaolQZqEFaQJz13+zYkB0Xix5CUHptPeEqK3FHkJWlsxrR1RT3ZKNk8jZv4OhqivMoC1/kVbJiaX9TSjvgqunk8ytWBtI8KwAwt5Xtv5y8S1EfjbEwQiGLD9P1ayLJGYOt2g1059Nb8deXd+HXT4lkUnmuzlAqx9UTUggAIBlVlZWg1uWiyoo0JZl+F2WgqO8EZEAQEaGsiH+N3O0jP78cSji/gxGCJzYOsNskZSXqMln68Mj7X66yorvN5fcNAEIWEBrzMdcC4gtBZIVaDyNlKCu9T4rfBzcIo63uM4k3SxOeqQykBcIBKulqnsMuHRt45mfAfVcAAWF9HLMPBWABzT3ljYw3MDCoLToPEL83dHnLOAuOYyXargOBxScB849h1/c+od4v5Sqq00pWmIISdYSCcsCsJoRDFmY3q2XxyVwB/WNldAIBHmXFo7RIRCgZC5enrIxu9xwP5/qYbGnhTz5GWpAX9KYIADnbMWUgNhuIkQMaVCgTh6xUBsrmbW5aavJRVvhsIJccWBY7R/q1LsvI5kUZCGBtve0AxigULh7hj9U9K1Smosf7lYEog4VeZ3NEfJCWzG4BdoLXEmWyErfU1mXah5DlPo/jCOUBYHIp1TRpVSIrEhAfTAILhCOy0qO+MfSFyLpfECIr+tBBX7IiHWAyo6xk0zTLWwaiwYmAKAPpUfsAkJHISiTOzL8Z6XlT/cVr2O2LgM8/w3IZiq10DAwM6oPlpwOfvJ91AnYf5jW9ty8GPruaHQ8siyW0bniALXyO/bi4X4ot7BQlpt5wVaGQRCZ62pha0d2SUBSLdK6AgYkinUDycZu2F29x86zE9vXo/YZoRBzffclKDwCLldG14yGRle3StGhqW6ZzKTWRFHyCUnN5G9G9uRvoBz/4AZYsWYJEIoFVq1bh4YcfrngbMeR5Sy/V/WRSoWembB1i/8xGxbOix+27bcBuySPr07osI5MvpawU8axoKk6xnBUy+DZHxHMtnS0N3QIQKwhyEbFUz4rsV7Fe/QvwrUXAut+LB8ukgYiHRlZ0RYYFwvmk1wJeqZFqzpOqCQzpYbVF2bbdMhCAkPt/Gnid3UcvA8WbRbCT3g1E5lpAECaC3npczkyR9sX+xjQDA4P6w7KAeSuB5ad5F0aEjiUiR4kU0K1PqvehRQ0tcqYD7rEobIuTPZ0TiAgQMjlbUlY0smIXgFvfCfzorex3IiekLktlIH0uUFNCIisJ9bzBdigquhwpGO6v/wH85xIcHGPH3T5JWaFOIFrs85EyPspK3rYRt/bSMtCvfvUrXHzxxbj88svx9NNP46STTsIZZ5yBLVu2VLSdGHI834RUE1nl0M2yW4dYWYPeYECeuqwabOk+fq3DMnIFVVmh+3GDreRZ8Sgr+WJkRfWsUNeTTFYWz2qCjHheKAgxTVlRAuHW/40pC3+7UhAF+hLHW8TkUI2shEOW0kkUDpoLBHhP7CS7HnQG0LoAOOwc9redU+XL9JAgFwvewC4H1zOlR6vJ+peBtEA4P+gScLkzRQwMDPYO9BzFLgc3eI8vgH96bb3gKivN4Rw6GmP40tsP4jd1t6hkJVuw+TgXTyfQa/cCmx4Gtj0FjO8Ux0MiXtLrpHEyl7zjILQ3RPHvZx1SvAwEiGaFoU3AxADw6PeA9CCOHHsIALB9RFZWyFLhKitFUtqzBakMFAt47gDscbJyzTXX4OMf/zg+8YlP4JBDDsG1116LBQsW4IYbbqhoO+TLyORtXgZSlBXtjePKSqyIsuLKWKS+8DJQkdbllKSs0O9jytRl9pbnC3oZSCcrRXJW3OdvkshKRyLMp2KGUUBUYu5R6MqK63mJhkX8/e51wOZH2e882XGWUEFy3ja0Bum9iwal1wLeL0THMnaZaAEufh74h5tY5DWgqjp0MIk1A7PdNuOB9f6dQAm5DOQ+ruDjWdGhv65yp7UaGBjsHWjoFFlPgxvZZSEn1IXpVFZcz0q4kMGaf38bLnqz8N/oygogFtUeZWX1j8Xv2ZSI2yfiJcXvN8dZmewzpx6AtV85DUtnNRU32AIsXwZgi8NnfsaPpXMnXgKgelaIrFAZqJjBVkmwDSJKAdijZCWbzWLNmjU4/XQ1zvj000/Ho48+6vuYTCaD0dFR5QdgOSsAUx2o3SstlWvKKwORslKAbTucnDRrZCUoz0X3rKRzBWTyBf44OW7fdnSyov6tJtiqOStENhpDovYXQgGLO5kXhA+posdDDYWj8lQiGlJXGvQFGJfJiqvYaN1AgGqy7QxNCHYfZLDld14mfrcs9kNypEJWSKZtFwRn4HVvCQhQlZXsGJDP+htsdQxuUv/W5mEYGBjs5bAsoHMp+33Q7SjkIzks/1JIvRAViz/d8TbHl6ywY6qirAxtAl6/T/ydHReLLj7A1ausABAdRaWUFTpG978OPHUTv7plkE2C7huZ5MqJPraGd7z6GWwLkmelwvd9j5KV/v5+FAoFdHerKaDd3d3o6+vzfczVV1+N1tZW/rNgwQIA4HWw3eOTosW4SBlo+zCRFbkMJH6fzBekMhD7J1C3UVDrcrZgK2pOOpvnJSDLKpGzoisrER/PimbwbZCUFdh5LO5yJUZLJSvU115wnyOdk2Q7mays+x0LbiPlommW+HJl/ZQV8X4tjkrTS3VyEGtk2SoE2c1P4GRlWFxHB5Rkh8T0N/grK/EWdxuW2I4+cRkAVnyYXb7pC+zy5H9Tt2OUFQODfQ90zKGsJloIJduKT2auNeRjkZywDWBOi5es0Hmqs1E6pm56BJAHAeZS4liX9JaBWjTPCgo5oTrHVfsABy0OX/0zI0fRBgAWImPb0IkR5AoOht1AUFJWKAmeKyt+Blu5DFSh72+Pl4EAePrHKUzND5dddhlGRkb4T28va0+m+TjERIHinhUiC7KyIptGJzKCrJDi4jcbSEbOjduXn3/YHZrY4rYthwMSbD1lIMnB7c1ZcUmUpZKVJV3sg9cMbaiVVgaiQVQtyYhUBrGYZ+Tpn6hhSdS5o3lWALUMdHwnqSo+hjfLEgoNAHQs9d7HV1mhmnK7ONgMbmA1WkBMBwUYWQmF2cEHYEQn77YHynku77wWuPDPwJsvZ3+/4SLggj8C7/1/7G/jWTEw2PfAlVlNWZnOTiBATd/VStCUYSKDRr8ogwj1WIlsSpATH89Kc0LrlpKP5dFG//2kxSE914LjgS6WS3VcbBMAkV4+zg22rrJSxGCbK9iIWXthGairqwvhcNijouzatcujthDi8ThaWlqUHwBIuiUReR6B4lnxYXmA2rocCllK5L4o37Dr9ARZHawbSJCOdNbG4AT7x1CCYKmcFYKSs6J5VkjZaQhLLWB2AUtcZcVTBiKDrfvhodTZlkRUKCaHnM0un7pFJM02zhZkJedHVgS5O6KFZgLN99yP7bTUhUMzfGQQyfAtA3Uww5cVZl/wvufY9RSXD4gPvtwR5KesROLAohPYdFaAXS5+oyBQRlkxMNj3ICuzgKSsTKNfBWCdNtTZKKfMOg7mbL8Hiyz/ioIc6uYZ+Jodl7qBfAy2evIt3RaKeLOuCPqCcsHxQM/RAICV0U0AxHkkpZWBghbkgJtgS8pKNAlY5aen7FGyEovFsGrVKtx7773K9ffeey9OPPHEirYVd0sdirKS9Sor+iwcWR1gf9Mww7xnKnN5OSuCQKSyeQy5ygrNZuCsUzfY5jXPik8ZSPesNIRUssI9K1oZKKIpKyNuFktrMio+uCs+zD7oo1uBl//ArmsqrqzICbpLYy7J0M21HNLrC/t8QIsqKx3sS97ukpyNzJHO4/IBISnKHUHleFYI5LMZ28FaAQ0MDPYddAYpK9NMVgAeua+U4F/5E2K3n4/74pf4PqQlKR0z9TyqnI+ykk+DjrmH9bR47w94k4BlxJuBpjni7wXHcrJyiMU6dUmhFwZbrXXZL8HWlmYDhePlHZtd7PEy0Be+8AX8+Mc/xk033YR169bhX//1X7Flyxb80z/9U0XboTLQNomsTEqmWiIrutTWFFfrlbLJlshBk26wzfuXgbJazsqkVAaiOQpBPehFy0CRgNlAClnJY8ksRiyCykBkiOLKSjIqPrjJdpb8CIiwpMbinpXtkorVWXBLR35DxMoBkRV51cA9Ky4BkUtBALDkJHCPCikrnFylyusGIjTPYcqNna9ssKGBgcHMB5WBxvuYykvHuOlWVgBRCpLJysss5yqKPC55x0E4eI5aIlFKOTpZyUrNDXSsBPDLC4/C59+6HP94zAL1/uWQFUBqhLCAecfwsntriD2eziPjAa3LvmRF7gaKxIFD3118HyTscbLygQ98ANdeey2+8Y1v4KijjsL/396Zh0dRZf3/23unsy+EBEgggICIgCyyuRBkG8EXFcEFVAZhHBFwHHVGnQV0RIYRZ3zdUVmcGdwXBjfGFd+frxsyA/Ii4qBE0BCFJCSQhCTdfX9/3LpVt6qrOp1OJemE83mePL1UddVN9VLfOud7zv2f//kfvP766+jZ0yRVEAVhIpXTQA3BsHrAhPAwmpiSfeaRlVVbvsQrO0t16wTDDOEwi7nPSm1DSO0oK3KObqV02fhGGg22GeFK4JUbgNIdOs8KY0xNAyU59GKli1LeZjTYuqFvt696VvySwdaTpOYkVeQ0kEk10JdlWmrHKXqsGBvCGbFygJsZbOsMVz/iB0dQOEZLHxnFimw6i0WsOF1Aaj6/T6kgguhcJGVo/pSKbyJ/W9oSpXxZlwYS4gm8xFiOWqdKhRkATDwrNZFN4QCMLgjgxkn9IuYc0v3mR0OkgnJP5cdPaWMRcPAL8CrFs2KcFNhlcY4DDGkglwc4/0/RxyDR7mIFABYtWoSSkhLU19dj+/btOOecc5q9DVG6LOrSBeLErkZWMvRixSoN9On+CvU5uQNgfTBsPTeQsYNtY0hNA2UG9JEVYzWQMbJy/sF7ge0bgMfOVT0rjPEPgNh/kkObXwLhIBwObuBNjihd5scmamTFm6xN7CdIydVEgGHKcQC45qwiAMDsET2anm697yR+O+4G8+Wi+ZxVGgjQlzxnFPJoiBAwwgejXrXUmrfbj4YwB1P5MkF0Prqcym+/2ar1YmoXsWLSu0oSK2io1RV7pCUZDLLiN1I0tGyU+qz40vi8SEDkfEHq9mv047Cix0h+22eCsj7/bU0CP++oBlvDpMCiRZhl6bJDSgM1g04zN5AoXRYd/wQnGsMIeOU0kF6sGM1HRvECKN4OhZqGoNqULcnj0kVSGkw62Ip8ntFgG+FZMTzOqStR78tm28YQUyuOkpxyNRC//+GtE1D/7mfADm1RhGelTvasiJBgEp/4SyY5h/8BfE4eA7dM6Y9xfbMxtk8O8JBIuVio9UvW8rk5ehebL49auizSQJJYES20Zz8JHD2gRYXMxEqsedFxN/Avspj4jCCIzsOQS4FvPwA+W6/53dojDSQM/1LjNrX7NwDUluu8lcZ2+apYSevGKzcbaqTfcT//Daxv1EduZISI8TYhVs6YC2QU8Ag2oFYO+cG3Ky56I0qXLS7IAVG6LNJATUzOaKDTiBURPTCKOSEehBhIT/LA73Fq5b/Cs/LNViCzKGI2YYALjIDXhdoGLj5EU7jsFK/O0NsQiuxgKx5nJusNthGRFYMPJujSTvqyWJH34XdKcyww/lzXND+Qpv8fXKIpnCGyku5VJqsCuMqWxYrLx1W6UO8mvU38HhcmDFCqtsSkhMZJxdSV0/lcHlZEi6yYpYF6KP6a9B761JMoxWusM58bKBqiIoogiM7HoJnAP38LVO7nf0BiRFYaavSp57oKXRoo3SqyktoNOLSTR73DQgAkKWKl2rTruG6/TaWBnC4tqiKt7w3z31VhJxDno4jSZUvPSnyRlYRIA9mBqtYMnGjUp4G8LqeudXGy182rS/46A3i82FSseFxO9Y2oqQ+p2xRzOQhPSUPQ2BROM9ga00BNeVZCblmsaDnHRlmsGDwr2oul9BA0z0rI4FlJ90qv8SQBydlaFCMll/dHSVbSOjVHIqYL1w/YpKdJczAtXZb6rABclIgvujADGxFfwIZmelYIgujceJOBoVfon2tXg60iGkSjOkFtRfQ0kChCSMtX19dt2yxyI6OKFYseK5bj5r+9Hsa3W1XXCMaYGqkXnXKbKl32iXN1M88VnUasWE07LTwkQqy4jWLF5wZ2PsMf1JarBx4A1s8biWvP6Y1JA7uqIa6ahqBaDfTzc/vgytE9cclw7rY296wYDbaxVQOFpMiKw+HQmWyFWPHBSqzohZubGQy2SmQlwy1e49A+4CK6ItI/4paFNFOaGaH4PoAqxtLlYINm6hVixekCZjwETL4LyB9ivh35qkUIKBIrBEEAwKhrtXnIgPaJrIgZjUU/qyP/0S+vq4BPFityJVCoUet5JTx2core7Tf3xMjEarA1oqSNPCEtDfTNkRocrw/C73GiMIsvtxIrjDE0yO32T9Y0kJvpT9C5qT78eKxeMtjyA8cjK/wgeVwOeN1O3Yflq0PalX3xgFwUD+CRBRFZOV4fVKMnp3dPx6SBXfHwVq6MG4Jh1BoiK5U11pEV0ak3FGYwitCQW8onNtbB43KiMRRCY1DzrOim2pZ7g4T0vh0RWXl220EUZgVUY1SqU0oBiY7BOacABz/RIiouDxcLdZU8FSTEixE1smKRBmoKY+myEEYOp5YiAoBBF0ffjtdMrMSYBiIIonOTVQQMvhTY+RR/3NYdbAHJyK+kfo58pV9uiKzo0kAnpEKHVGU7tYpYcfsBp9O82kgmVoOtEUXcOFkQbgRRXdeI7d/y6Pfg7hmqXcHlMBcr4rE3ToNtp4ysJHtdal8T0VFWRC48bocaWUn2ubnJpVwTK7MH8wY6Z/XVn5SFWKmua1QjFMIEJap1jtcHdZ6Z2oaQOn+CUawAkMqqTdIr8km/tkKbH0iKrHiZvhpI27AQITzMJzwrdY0h3PnqF6owSnUpYkdW2PlD+a3cwVAIl2j9R8I2RVbqq3m6SaSA/Bn8CxgrOoNtC1NTBEF0Ps5W5gVz+9snDSQaZwqfSuW3+uW1FTqDrb4h3FF+603VKjVrJLECxB5Zacpga0RKGwVQj+oTQfxLESvDemol02rpsiF7IC7kPXLpcjPolJGVnFSfGkYzelY8Lqc6g2Wy1w0c/VY7MQK4dngG+hQW4Jx+XXTbF1VDYkZnAPC5+T68StM2OYUE8MokIUgyDNVAAE/LuF2RfhXj/4O6CqmLrZZq8urSQHJkRXmtNxlorFHTQDJelxNepkRgZIV9xpX8aqP3eOmfzwWO7DWfQBDg4kKIpbjFSga/ZWGe/om3w6RssBVfFoqsEAQhyDkF+NlWHrVtZirCFsSUJEKsiLYQSVk8olxXgSSvRRpIiBV/utZTSjwnfsdj9qw0Mw3k8vAUGgvBjwZUSZGV4Tqxwm+NkZWyKj6egEs5VzUzPd+JxIomInJSfKrHw1gN5HY6pciKCzi4Tbcdf7AK0wf3hxFhvK2okcWKPrJytFYvVo4cr1dfK9zdbilKoEZWTDriusNS1KS2Al7Js1KjpIE8VpEVUQXjDQA1WmRFJi3JA4eZwvb4I1MtIvVjFVkJS/93vGkgj5+HBUP13LdiNNfGvB3JYCtmeibPCkEQMkrr+HZBRFZEGkjMm5bZi4uV2gr4ky0MtsLTJ4sVgUj/iN/AoEWflXgNtg4HF0QNx5DkqMd3NQ04rLQKOaMwQ13Nqimc6Hie4mZAECevwZZHIvjByUnxquIgohrI7UBuKn9T0/weoPRf+g3VmptI1chKTb2yHadaT24VWRGIFBAQGVnhY4t0TcviC7Xlasv94ye0VJO7qTSQMtOx0c8DGGZcbkphqxVBFpEVufqoJSkXuddKvO2wdQbbZvZZIQiCaG3ElCR1FfyiSkRWxNxndRXwe608K4pYScqI9JyIx2bt/GUa4oysAFoXW2hZg17ZAV3RilVk5ZASWUl2KRfnzbyw7TRixQGmNj/LSfHBr6RoxPxAQhB4XE4UD+iCWcN7YPGEvpHzLFhUvCQb0kB+k4kGqy3Eijy9t1sSK+EonhVXWArhSWkgWRC5mJXBVkoDAXAyk8iKX24I10TuMkX0WrGIrIRsiKwA+vJl4ZRPzbNc3RTZYEulywRBJBr+dC2qUV2qRVZEF+7aCt35JU1uCicKEMwiK6InVlNiJd40kPSaJIdWxCH7VQBrg+0hJbKSJNJAJ2tkBdA8HF1SfWrO74SxdNnpRMDrxj2zhmB8/9yIniQRkZUT1cDWP6JH8CAALQ0kl5aJyMoxpZOfLE4AbRJDgHf3E4U3IrJi6lnRpYEqVbEiDLs+txPOoFT1o4us6L0oLhPPSpo843KTkRXlS3DgE+C9u7Uvl7o/ZawOFy8vjhe5fFm0vG/uxIjyF7W57fYJgiBaG4dDMtl+J6WBhFgp13tWYk0DiW2azeoso6b/m5kGAlSRle3VLoCHG8WKhcFWRFZIrEBrDJeT4lPd1GZpIB3ihCb8DfIcDQCw+2Vg60qMO7QBAFCuiBXZre116w9jVkD/JmQn6x8L4WGct0jGJZcf12meFRFZCXhd+hJlZh1ZcZn0oEnxuWKPrIg0UPl/gPdXAVv/qF/e0oZwArl8WZjP0psrVuTISjM72BIEQbQFaZJvRfasAEBdpZoZACzSQP70yN9tYdxVPSs2G2yl12RLDUWHFRrFCr81TikjxIrPIcTKSZoGArTIChcr/M1WDbZBrRpIhzjRipp1YxpIeZzE+BssTLPyh8ln2KYxsjKou36mYSFmRJSmMRjpWXGGDZ4VQxoo4HVrJ2PAwmCrKOdQZHrq2ImglLtsSqzoK6OwY6Netbe0IZxAjqyIuTKaHVlR/peGOOYGIgiCaAvERVhliSYqRBqovhoBt3YBax5ZybCOrBg75BqJ12ArbTvTw883KT43+nVN1a1iFVkpreLnDK+DIivwKk3SuqTKBlvFsxLWPCs6VLGidBU0poGUk7KoDT92gt/Kczd4DJGVZJ9bF3lRw2SMAYd2onsKH5MQPmZpIKccNZH6rIiKo4DXZRArcmRFGGz5hzHYoG8SByhCKdY0UIpBrNRV8oiTcX8t8asA+vmBhFNenvcnFoRYCdZpbngSKwRBJBLiIuzwl9pz6QUAeAQ9OcxNt06HNkEgAH3pstOljxqnGcWKVVO4lhhs+TlFdD8/ozBDVzSCH/cgEOJjlD0rjDEcOsrHo/VZOYnFik9KAyUZIytqnxVjGkiIFWWeBannCgC125/HUP7rkwSK1yCA/B6XKpIA4LRuSsTgwMfAmnPwyxOPAACOKGZdszSQ05AGEoKoWk4DyWE+s3b7ygfLbVK6nJ/ub34aCAB6nc1vdzwl7c/mNFDVQaBBCY02N7Iil2GLqxASKwRBJBJGseIJ8J4vSquG1BD/7coIeOFwSOcs2WArXmfcprupyIq4SG1mUzhAFTgZHn6OOUNOAZXuAB4ejRnbrwGgFytVdY3quVitTj1Zm8IBxjSQ4gtpMg2kiAJRdWL0rChvrNvg+5BLtYyeFblVstrSHwAqvgYAdGdlALTISpNipbYC3gyjZ8UNNFqVLguDLRcrXZKdOL97HmYNL0Cyz421H3yD304bCHz8vPIPNPGh9QaAicv5yX/ABcATE4Dyr6X9xffhi0B8AX/YzW+TMpvfZdFtcrVAnhWCIBIJcb6pUGZ/Ft1o03sAdRXo5TyCS0cUYFD3NP3rRGt9ddoTKdViTAM15Vlp7m8roJ5TRhcEMCmtKy4/s0Bbtu1xAEBGLf+fZLFSqkRVspK9cMRpG+hUYsWHRiR5XEj2uSMjK1ZpoKBRrBjTQPyNNXaBzc/QToDGbcozN5+aL33YlChNAPyNO3LMKrLC4AhJH7TaCniyRTVQg7aPOjmyYmawDShjD+HhOcPVxWcWKb1LxIRYsYQDz7qR3x7jQgvHy4BQEHC57Y+sCLHS3KgKwFvzu/36Lyq12ycIIpEQPkDRUFOIley+QNnncFZ+jVWXnB/5uhqDWBGRFnkbZp6VXS/w39dTJtlisO2ZCjw+Y4R+2ff6nmWyWCmr5hf9+el+oDa+80WnSgN50Ygemfxgyu32GWPSrMuGNJA4satpoAroJvhR3lhjRU1+uiZWfG6jWHGr0ZSZwyTPhSJW/MoU26LBXIPBYOtGCA4mCZj6Kvic/LGIrCRFeFbMmsIpBiq5w6xMPOHA5FzA6eFt8UUvFLvEiuizIsYbj1gBTJolxfGlJAiCaC2MRQs+5aI2uw+/lSPXAsa0xpxqaj6yOCPCs3L8MPDiAuD5eXxqFBsMtqYpph+/0D0MSmJFVALlpfnjjsR3qsjK9WcXIHPwEABaKuZEY1iZ4ZivY/SXRKSBQg1cVPh491dxQncZTvj56doJ0JgGKshKwubF47BtfwXmjOqpLVDEii/Mt2mVBhLeG5lMxg1XVYrBNjmiGkiKrKjVQMr/YFINJP9vzTqZO51AWj5w9AAvL84osD8NJGhu2bLAE9CqunzpJFYIgkgsIsSKEhXJUsRKhYlYOXFUuzA0vl5GnRtI+X2v/h4A43OuydWuLTDYRogVaSqWsIPLirB00S+yCLlpPuBAfBe3nUqsnNsnHeiRAQC60mW5nX1kGkg5cEmZ/OCFGvgbKsSK4px2GlrWd5PSQEYB1CsnGQPy0jAgz5BvFCmlkCJWLNJAOrESyAFqjyATRwH4Ua1UI0WPrIjZlAP6x0biVdhpPbhYEY3b7E4DqfuJV6xIX0IxHTtBEESi4PHzC6l6pQhATgMB5pEVkQLypWnzAAkc0jlIroiUXwcAx3+Q1os/DRTRcO7gp+rdoJvvX04DiQvz7IBXi5y7vDCp/bCkU6WB5CZpSVIaqDGsiQFLg63Lp81DI5tslRO6M2xMA2lvtLF0uXeOxcm/4TjfVagODoTVNJClWHF51YhPRviobp2IpnDxpIHiLWETAkD0QrGrdNk4aWFzy5YFsnEsLT/+8RAEQbQWqkkWkWmg6u+132eBiF6YRVXyTtfuewyRFXmaFCFW3P74uo3LTTdlvt+u3nUoDUplsSLOdbnJ0rnyZG4Kp0ZJAF0HW3lW44jSZXGidfsAv/KBkdvJK2+4wxCdyE2VqoEMAqh7hsXJX/rwJaEBFTUNCIUZGgyd/nwOMSa/+oFOD+lLqlO8Dr1AER1sw2FNnKhN4SI72Mr/W7PFitoqWumFYlcaKLMIGHIF0OVUoPd44JTJ8W1HV85HkRWCIBKQFKklhIisBLK0i7bK/fr1a0zEylX/4L+Vl6yXtmU4j0kpGhxTxEq8qXG56aaM8C8Cqt9SF1lRsghdkqXz78mcBpIjDXJTOJEGcjsd+pp1QBM4Lo/m8VC8JQC0ihnDHEJuSaDIAijN79Yt0yFtN9lxArXMj4qaBgSVyEqSx4W6xpAWWXH7VSNVqiGykuwyxM+EZ0WOoogPlqXBNsY+K0ZEW2e700AOB3DRIy3bBmDee4AgCCKRkEWHECsA9618/xlQvg/oepr2vEjnyE06e4/nfzIinV5fzc8LwpQLaJGVeMy1gHUaSKqidSiVs2ZpoBy/HFnxAib+TCs6WWRFESsHP0W/585BsfPfimfFoscKoE8DCZ9K/XFtuXhTrHwfgE4AFaR7gLWTgddujlyxURMr+Ul8TOU19er4UpTZNf0OSawo6jstqI+spEaIFSV6IosqNbJimKxRHY+Y0KqZYiUismKTWLEL+aohldJABEEkIGaRFcC6IkhNA+UiKrL370SVhViJM7JiZbCVrBNqZIWZiBVxqnE4m52G6pxi5T9vwltVgsnOz1DbEIxSthzkJbgATwOpkRUpDSTCXVJ0ItVvHZAallIBHPwE+Py5yIVSZKVbgIuNI8ca1MhPqo9vN9kZ1MakpIFSgvr+L8keC7ESlMVKirbMME8DGJMqZgxG4KaQJ+EC7EsD2QVFVgiCSHSsIivpSqM1KbUCwDwNZIbLo0VOTlTp00AtFStWpctSlZFTsSSI0uX6YEgtDMnyK+fgOC5sO5dYEVESJWLgd3AhcLyeH6jIsmXpxO7yRqaBGNPeFGndNL/1STk/RVGLZqkXKc/X1c/f0K17f0RtgzIplCKCUlxCrGhpoIAhspLsMPhQjJEVh4u3b5aX1x/XmgjVlmuN05rr6xACoOZHLhATLbJCBluCIBIdnViRLhhFvykxXYjALA1khTwprK4aSBEuxkkQY8XKYGtopupAGGFFrIgJe91OB1LdykVzHOeKzuVZEVEFIVaUfJg4WJaVQAA/eMY0ULAeatOdcFC570DvLtZvdM9M5U0wS71IkRUhVp74QDNRiYhNwNnId+X2qaHC5AZDZMVlFCth/X5dXt68TRBqANaczU1XN+7W/CbJuc2fOyc5h6fNQvVc/dtVDWQXDim8SJEVgiASEas0kJjQVe5OC8SeBgK4WDlWynuzyNVAogO5nQbbUDBCWLkQViMrwlybneKFMxx/FL5zRVZEpEARK8lOfmAqlfa+HreFuRYwGGwVsWJQj49cfjqGFWbg7otOh5FbpvTH2afkYGJ/pfzZLPUieVbOKYoUPKfmpeG8AbmY1C+DPyFVAyU16sVKoCnPitur/0DUVQIV3/D8Zc1hrew4nsZrDoek/qulNFCCRFbqq7X7xnJogiCIRMAqDaRGRY7q1481DQRov891lfrIytEDyvI4fxfNDLYnjsLYSdclRVbUHivJvhZF4TuXWBEHUGmGE3CKyAq/9Tij9FhxODSxIkq+DGLlJwOy8dKicSjIijSkXl/cF3+7ZhR8DqlniqE3ixxZGZTjwoe3TtAtTvK6sHbeSEw7VRE8bp+qov0NlXBA23aSw5BmMooVY2RFlKwBXBULc2y8kQfRJTF4IvHSQPLM2cbqL4IgiERAFh3+5qSBYoysAEBlidbWAtDOebEIHjNkg624GBcpIOn3n0dW+PlKNdem+lrkb+xcYkV07GvUi5VKyzSQqLpR0iA+g2fFWJ5lVVUjI3tV5AqicEg/uV5DDbKS9Sd3dXxiPbdf/VA5WRDp0MSOvynPisvLW+OLlIjcubDhuJYGirfxmpy7TLQ0kDF8ShAEkWg0Jw3UUKtF/OVmclYIsXJkn/nyeMWKmj5i2nlKmGulbboQhqhcPnKcnx9yUrwUWVER4kKJiIjoQ4VlGkhEVpSTrDENJPdbASIjJWbIDdhk4WLcVkMN/B6XrrJIEyvKuDx+ns5RPnhdnDy9kZPiQ4bXos9K0PBhEP+bLFYabYisqF0STyReGmjCb/ntyIXtOw6CIAgrvClAlwE8ep6Spz1vlgY6rnhN3P7YqjfFNsr/Y748luiMGZ5kAMp5VGQgRGRFElFOhNU+K2pkJaVlaaDOZbBVxQpXfH7wA1OpupGjpIEALcQlDLbRIivBei5ejK5qq8iK0T2tPO6S4sMxpaxLbS4nIkQi1ZKcC5yownNz+qAsayQKsgLw7nuVL/Mkcy+MCPUZPwxOD4AThshKrVZ2HG+HV9PISoKIlT7FwC3f8G6QBEEQiYjDAfzsfX7OkOf6EWmg4Al+LvP4pd/r7rGltkV05oiFWIk3suJ08vHVVXKRkpKr9VgxRFaEWClXxYqX0kAqjfo0kOgEW66IlYjS5aBkRgW0UJxqsDVEQ2Sxsm4KsLqfvjU/oBcooWiRFb6P7BTtBB8RWRHpKUUFZ7KjODU/DSk+tyZ+RK7TLA0EAC5FjwoXuPi/RGQl3jSQqWclQdJAAJCcTX4VgiASG49fnwICAG8q1OiF8K2ov9cxRsJFZEWefV4mlooiK4xz6Il9BLIhxu3SRVZEGogMthpqNRA/kXsZP+mrnhVjGkg9cCKyYqwGMkZWFPERDgOl/+br7f9/+nXkyIouDXRcv55S+pWTopUNm3pWAM25LRuuhPjxWYgVIcDEh0JuDFR/XKsGaunMxo21iZcGIgiC6Kg4nZGpIOExTIvx4tI4g33uqfrHsfherAhk81shUkQaKCkLcPKLY6dUunywkp/r8tOTSKyoiGiDcrL3MCUNVGtlsBVpIOXANZkGUk7KQel5Y5dB2bOii6wY0kCK2NCLFZEGMkRWhPKWozhC/DQVWXGaeFaOfsuFlMMZfzt6VawkYDUQQRBER0YtPT7Kb5sbWRGvF3Q7Q/84Xs8KoKXXhUhRIytZagt9N0IIM4aGYBgHK/i5r3eXZEoDqTTqIyueMD/pV1h5VizTQDX6W4E4KcvCQ0QoBLrIiiRcjNtSUkxyGsjrtoismIoVkQZSFHSEwVb5MIg0kBxZObyX36bkacubixArwbrEa7dPEATRkZE70ALNj4QbIyvdhmr3vanxN4UDtDSQMbISyFKrT52OMIKhMA5W1iLMgIDXhdxUSgNpiMiKIlqcCMGNoFpCFfAaJk6KMNhKaSDGrCMrspfFOI23zrMieVyM/hfTyIqFZ8VUrBjTQEaDrfJaNbIieVbEmFO7Im7cUnMgiqwQBEHYhzDIqmmgZnoMI8SKFFlpSQoIkCIrimdFlwbi51hRulxyhJ+nemUn8wl/SawoBE9wP4mUpvFJU1B3T3Obp2nUyIoiVsC4GDBW8IioiRwlKTfUsYet0kBGsRKLZ0URBEKsnJA6swrx06TB1qN/HgCqldSV+ELEA6WBCIIgWoeINJDwrMRYvSmLFU8AyO6rPW5JCgjQPJS1SvNNOQ3k4Ocw0RRuvyJWinIUiwWlgRQaa/WN16CVLzsQxs++uBp46EwpZWLwrHgCUF3YZmLFLA1U/o2+rX6oiTSQV59qytFVAyn7FuksNbKiCBK5jXxTBls1DWTyoahVOiEa1XdzMDXYUhqIIAiixchpoIZarSt3zGmgDO1+eg8e8RDnnnjLlgURBlslwiJFVpxgCIehipVeOUqrC4qsKDSesBQr6ahBZs3XQMXXWhmv0WArt9xvOB5bGqjhGJ9rR2DVZ0WICzFjZmNkGshrVQ2kipUonhUwHlVSq4EMaSAzjCas5qB6ViiyQhAEYStyGkiYa70psV9gyo3jhDjx2SVWJIPtsR+U858DyOypVgO5EUKIMZSUi8iKcl5tQZuLziVWQvURJcJ+Bz84LmleHXUdY7t9QJp5+ZiJwdYkDQToU0Ehi9JlEaUR9e0ispKq7bshpIyxWdVA0oc3HIwtsiJoSWTFLUdWSKwQBEHYhpwGUsuWY2wIB/DyZ4GIhIjzSIvTQJJn5btP+f3cU/n5RBhslT4r+w8LsSIiK/G3uehcYgXQT2IHwK94VrwIRq4TNBhsAa18uaHGuoOtsQy5/GvtflOeFRFZUR4nS6bfaqWTbUzVQEL8yAqahSLb7TujVPvYkgY6QWkggiAIO5H7rIhKoFjLlo0IQ63dkZW6CuCgIlYKzuS3ksEWAEqr+LmsV7bwrFAaSEM4kxV8Shoo2RWKXMcsJKVLAxk9KyZpIEBfvtxUB1s5ssIYHA6HWqV0RkGGsn1lvx6DwdasGkierVMXWRHdb6NU/NjmWaHICkEQhG2oaaCq+Odxyx/Kb8+4kt/m9OO3XU9r2djU0uVK4OAn/H7BKH4rGWwFfo9Tm7S3BWmgzjM3kNMLoFEz/Sj4HI0AA7KSADW4Yoys6NJAovKmSt+iHpAiK+Y9UwBE6WArIisiBKeURnsD+Oi281BV24iCrIC2b0ATE1HFShNpoFHXAv/3AkyxoxqIPCsEQRD2YpUGag7zXuNNS3NO4Y+n/wUYdwPQpX/LxiYiKyysiZUe+siKUxIrSR4XL1sGEjcNtGLFCowdOxaBQAAZGRmm6xw4cAAXXHABkpOTkZOTg6VLl6KhocF03aiIiaAMkRVhsM3wSBU7dcbIinTgRBropYXA95/p96GWLhu70UqPrTrYqp4VqcZdERzpSR4UZge05yPEihI9aazRKpmM1UAAX2Y02IrwnBktESsiRdVITeEIgiBsxcxg29w0kC9FEyoAP0fmDmj5nGlun5aBAHikJbsPv+/Qp4EAwOeW+pslahqooaEBs2bNwnXXXWe6PBQKYdq0aaipqcEHH3yAZ555Bi+++CJuuumm5u9MXOlHeFaUaiCvZLA1poHkyIr8JgA8vydUo1UaqMEqsiIJF/GBS+mqiRBR8iUTatTMs6KeXZ7oSkRXVLGSoobe9JEV6cNw7f8Aqd2AoXP1+7IlDURN4QiCIGxFpO+PHQIqv+X3453HrTUQqSCAz3IvBJDikXQ5JLHikWSGOFdE81Ja0Kpi5Y477sCNN96I008/3XT5m2++iS+++AJ///vfccYZZ2DixIm499578fjjj6O6utr0NZa4o0dW0rxyZMVosDWJrADA+auBm/YCmb34Y6PBVqhfWbyYdbBljPdjAYCsPtqHTggYGbnxm4iauL3a/1d/jEdQROM7b4qqZnlkxSTKkT8EuGkPcM7N+n3ZJlZoIkOCIAjbSOvOf/PDQaD8P/y5WLvXtgXyNC0j5mv3nWaRFVmsJGgaqCk++ugjDBo0CN26aV35pkyZgvr6emzfvt30NfX19aiurtb9AdBKaQ3RClG6nOqWDLbR0kA/7NbuD7mcH3yx3Fi6LFzVVpEVsX5tOVCvpHayirQuhMZJEAGtvbI3Rf+BkH0rsvHXE9BUajhoXuEkkIUY0LI+K+J4B+taZJoiCIIgDDidQFZv/XOJFFmp+Ea733Ocdt/EYNsh0kBNUVZWhq5d9dUqmZmZ8Hq9KCsrM33NypUrkZ6erv4VFBTwBcKzYjDY9kzjB6q4b4b2pIismKWBhl3Fb0+frfVcUVvWG9JAIlQnixXZsyLSQKIPS3oBj0iImY6NkyACkX4VgSxWVI+Mg29PFivRhIMnoH8s+12aC7XbJwiCaD2EDwTg5wNfivW6bc2Yxfx20p16D4wSWfE49NVAKm3ZFG758uVwOBxR/z777LOmN6TgMDH7MKWk14zbbrsNVVVV6t/Bgwf5AnHyNKSB5o3Kw6brx2FIvjTLZG2UNNDQOcCCd4CLHtWecxnKroRYSIkxsiL6sAilrKaBzMTKUX5rNL+qYqVa87R4k/kHxWmWBjIRDrJYcfs1gRcP8qzLLGy9T4IgCKL5ZEliJZGiKgBQ/BvgZ1t5dZGMYklwOzXbhT6yEn8aqNkul8WLF+Oyyy6Luk6vXr1i2lZeXh4++eQT3XOVlZVobGyMiLgIfD4ffD6TFIfbPLLiZw0YWpAB7JJERLQ0kMsN9Bih37ZQgcaJDM3SQGYdbCsUsSKUclo8kRVpfiCRBhJpHV1kxaQcW+B0csHSWNsyvwpgPsU4pYEIgiDsITuBxYo3oJ/JWaCcizwOWayYRVbaQKzk5OQgJ6eFU0wrjBkzBitWrMChQ4eQn89P4G+++SZ8Ph+GDx/evI2pBlt9NZBqRBVRFCB6nxUzrNJAosGb7CEx62Ar0kBi5suokZVY0kDK/kWkRERWmIXBVkYVKxnmy2PFbSZWKLJCEARhC/JMyfF2r21rlHOR17IaKP42F63aFO7AgQOoqKjAgQMHEAqFsGPHDgBA3759kZKSgsmTJ2PgwIG48sorcc8996CiogI333wzFi5ciLS0ZvopxJW+MLIKxAzGIUmsNNYa2sQ3cZJtThrIrIOtXAkESAZbE7EipgSPRayIMmtTz4rF/+RN5rMutzSy4nLzSRLltFe0SRMJgiCI2NGlgRKoEigaisHWOg3UhpGV5vD73/8eTz75pPr4jDN42Oi9997D+PHj4XK58Nprr2HRokUYN24ckpKScMUVV2D16tXN35nb4L9w+bhAEZEVWUQAPBUULWWi25aIrBg62Bpa58PhiOxgy1hkGkgYbGvLuWjy+Lmv5YM/a5EVY6WOqVgxRFbCoejVQICWOmqpWAG4QKxX/l+nWz95FkEQBBE/Kbn8grTheIeLrHgsS5cTVKxs2LABGzZsiLpOYWEhXn311ZbvzOihCGTx0mBx8pbTQABPBZkZbM0QEQNR6aNWAylihSkiweOP7GBbV6mliTJ68tukTJ5GCdbxMWYVAS9fC3y3TXtttMhKNM+KmiKyMM+K1JFtYkUpHacUEEEQhH04HNwXUvL/+KzGHQFTg609aaDOcylsjKyI7q9i5uSQQazUVsSu8qzSQHLrfCEgjB1sRcdZdxJv7gbwD6HRZPvjHv0+oxlsRTWQEB5qU7hg05NeCYHTkh4rAvmYk7mWIAjCXmY+AVz9qrmZNRFRIitunWelE/RZsRVjZEWIlaDwrJilgUz6rJghp4FCUsWNL007YQsBYexgK5cZyxhNtiI1JLAsXY7iWakt10ST8MUYsTUNJJVCU2SFIAjCXlLzgKKz23sUsaOci9zQIit+m9JAnUesNBVZMaaBasuBYIwNatTS5aC+tb43WTv5N5hEVkKNQL0iVowNfYQ4EV1s04xixSKyUlep7Uv1rChiRcwhkZRlXloMaCIokG2+vDnIqSYrjwxBEARxcqAYbD1Oq8hKglYDtSlWYkWNrBhmcq4+pEVImjrRymkgIRQcSht+TzKAci3aYexg26CkgbzSZISAFikRrzOWAhvFSkYhv60oAfIGK9sUnhXlw3BUESvRzFhjruf7Pn229TqxIkdWcge0fHsEQRBEx0WkgTqawbZNMTPYApFixelWvB2lWmSlyTSQLFZECkbpHqtGVpQIijGyIs+ObDZeUa0k92oBIsVKTj9+W3VAm//ImAZSZ+eMUuaWNwg4/0/Wy5uDLBALRtmzTYIgCKJjIgy2lk3hOuhEhrZirH5JVTwbos+KSAOJlvdHv9VSOsY5c4y4pGqgRkmsAFoqRogNYwfbegvPijxrsXwrMBpgk7O1abm//V9+KwSNGlk5wG/bqsxNFogFZ7bNPgmCIIjExMxga9pn5aSuBpJOnNmnAD1G8vvGyEpmEb/9fjuPsLh8keZWI07JYCvSQELgqJEVRcQYO9iqBluLyIoQOU1FVgAg5xR+K0SJcIiLyIpIA7VVa+YTUgO+7s3sOEwQBEF0LswiK6YTGZ7MkRU5lTNivhZpUUuXlYOUpYgVIQ6yejfdzMw0DaSIFY9BrBg72DZYGGyFuBKRH6NYMXpcAE2sAFxA5Q9V7ivKVQiz9Dbqdli2S7vvMxkvQRAEcfIgqoEcIfUpNQ0UDvGeZMDJLlakyMrQyzU/hTiBBw2RFYE8WZQV8txAqmFWER8RkRWrNJBVZEURUw0GsWImoIRvBQDyh2iCzGmwHrVVZEUcuxTzSScJgiCIkwjlvKX3rCgX08fKtPWa8oma0HkMtj1GAGOXAt2H8Uog4VERrfBF5Y8/jZftCpOq8LBEQ6jAcCNQsZ/fF9U5qmfFpBooFIySBjJ4XYRo6X8+MGCa+TiypciKbGg1ipW28qxc+Ajw//4MnPurttkfQRAEkbgoaSAXTCYy/PABflswOjLTEAOdR6w4ncDkP2iPVUMr49EVOVeW1l0TK/LMllbITeGO/Ed5nSIchAhpKrISUQ0kRX4Y00TLtD9H9lwRyJGVgpHafYdLv15THhy76NIfuHhN2+yLIAiCSGycZtVALuDYD8D29fyJ8b+Ob9MtHlyiIlf4NNRIDeC8ek9Hc9NAR77i94V/xNgUzrKDbZTISqhBy+VZNXMDgMxevKmb08PVqcApiZWUrnGF2AiCIAiiRYjIisPQZ2Xva/zCvNsZQO/iuDbdeSIrRpwubbLAhhr9DMuypyMrFrEiGWzLlciKECtCdIh0E9OMRdHTQJLBVjbXGkucdeNwA1dt4ikjOfoip4FiSWsRBEEQhN2YNIXze5xA1Xf8QfcRvD9ZHHResQJwP4kqVqQ2v2LeHE8yn3uhKUTpskgdwaGJHCFCGmsQMf9QtDSQWzLYiqiM0910/bnZhFY6sRKD+CIIgiAIu7HqsyLmwLOyOMSy6RYNLNERUYrGWs1w6/IB6QX8fnaf2FSeUUBk9tQ8J14pshI2iBW5g220PivCXOuJElWJhixWYklrEQRBEITdmBls3U5JrMRf/NG5IytqD5Tj+jRQvynAaRcBgy6JbTvGmnC5Kkf2rJhFVhqU5yLEimSwFWmgaH6VaMieFRIrBEEQRHugnIsczCKy0oLij84tVsyEhMvLy5dnbYh9O0axIlflyIJI7l4L8H2KiE5ENZBksLVTrFAaiCAIgmgPRGUqk5vCOWyJrJwcaaCGGikN1PzOefAG9K/reprJPo5HRlZiabfPwkDdUf22msuJau0+GWwJgiCI9kCNrEhiJXRc60PWAs/KyRFZaazR+qy44xArniTg0r8DBz7mDeUGzdSWiTbz9ccjPSuNddp+rQy2gGbcjTeyIuYEAjQPDUEQBEG0JSLKH9bSQI5jh/gdf3r8F+Q4WcRKgyRWXHH2IOk3hf8ZUcXKscjIilCTQGRkxeXhITMWksRKnEKjsiS+1xEEQRCEXThEZEWyRNiQAgI6expI7oHSgtkeo+JL47eNUqrJiMsXWVHkcGjja6lYScqK73UEQRAEYRcisiIZbO0w1wKdXayIaIbwhADxpYGiIc82XFdpsY7FPAiiIqilaaBZ63lXwJ9tje/1BEEQBNFSRGQlLDVHFWkg0d8sTjp5GkiJVMgiIt40kBVuL5/hOXgCqKvgz3kCsXWlFeKktkI/3uaSP4R3tiUIgiCI9sLEYIvq7/ktpYGiIESCTqzYHFkBtOiKEB3GCIk3FaYIk21L00AEQRAE0d6IyArkNJCIrFAayBrRA0VEPJxuPjuz3QixIkdWdMut0kAkVgiCIIhOgjOyzwp+2M1vW9hWo3OLFWNkxe4UkKDJyIqVWLHJYEsQBEEQ7Y0iVpyKWMlDOVD9HeBwAt2GtWzTLR5cImP0rDQ1SWC8iIogEVlx+/ibo47DyrPi178uXoMtQRAEQbQ3Dn27/WHO//Dnuw6yzjDESCcXK6IaSBEr7jaKrDg92kzNgLUL2hhJoYZuBEEQREfFEFkZLsRKwaiWb7rFW0hkhBgQc/a0VRrI5dFHcazm6zFGUigNRBAEQXRUrCIrBWe2eNOdW6wY0y+tlgYyGGydHm7mFWRbGIvcfv1jEisEQRBER0WULiMEHxpwmmM/f57EShMYja1tlQZyufUzIWf3NX+dUZyQWCEIgiA6Ksp5r29OAHmOCngdIV6Vm9Gz5Ztu8RYSGaMHpDV6rADmkRVR4QMA6QXmr/MYIivkWSEIgiA6KkoaqEvAhVd/NpQ/50vl08u0kE4uVoxpoNYSK0o1kJgPwZhukqMsMsZIipuqgQiCIIgOitRnJdWpzMdn00V45xYrHoNYabU0UJr+sexX8WdYv85osM1seaiMIAiCINoFJbKCcIhP7gtYt+5oJp1brLjc+gqg1k4DqfuRIivRBIgcScnqAyTn2DsugiAIgmgr5A62DYpYMQYN4t20LVtJZOQQVFuJFbnHipVfBdBHVmxwSxMEQRBEuyGaoYbDQIMymS9FVmJErghq4RTVlkREVtxA//P5/bNutH4diRWCIAiisyAsEOEg0HCc37fJs+JuepUOTtVB7f6on7fOPswiK7P/Chz/EUiPMi22HOmxocMfQRAEQbQbchqoUURWWtZmX920LVvpCKTmA136tc62jQZb0cE2mlABgPpj2v0uA+wfF0EQBEG0FbLBVvWsUDVQbEz9I5B7GvDT11tvH8bISqzCo/9PgJz+wFm/tC5vJgiCIIiOgJnB1ibPSudPA42+jv+1JsaS6NNnxfa6QBaw+FP7x0MQBEEQbY0aWQnbLlY6f2SlLZC78/UcB/jTrNclCIIgiM6IU5EUOs8KiZXEougcfjvl7vYdB0EQBEG0B7pqIHs9K50/DdRWXPYUcKIKSO/R3iMhCIIgiLbHzGCb6NVAJSUluOaaa1BUVISkpCT06dMHy5YtQ0NDg269AwcO4IILLkBycjJycnKwdOnSiHU6BL5UEioEQRDEyUtHNNh++eWXCIfDWLNmDfr27Yv/+7//w8KFC1FTU4PVq1cDAEKhEKZNm4YuXbrggw8+QHl5Oa6++mowxvDAAw+01tAIgiAIgrAb2WCrelYSPA00depUTJ06VX3cu3dv7N27F4888ogqVt5880188cUXOHjwILp1491l7733XsybNw8rVqxAWhoZVQmCIAiiQyAbbNUOtgmeBjKjqqoKWVlZ6uOPPvoIgwYNUoUKAEyZMgX19fXYvn276Tbq6+tRXV2t+yMIgiAIop1RDbYduCnc119/jQceeAA//7nW8r6srAxdu3bVrZeZmQmv14uysjLT7axcuRLp6enqX0FBlIkCCYIgCIJoG9Q0ULD9JzJcvnw5HA5H1L/PPvtM95rS0lJMnToVs2bNwoIFC3TLHHKPEgXGmOnzAHDbbbehqqpK/Tt48KDpegRBEARBtCFOSaw0trPBdvHixbjsssuirtOrVy/1fmlpKYqLizFmzBg89thjuvXy8vLwySef6J6rrKxEY2NjRMRF4PP54PP5TJcRBEEQBNFOiMgKmPZce4mVnJwc5OTkxLTu999/j+LiYgwfPhzr16+H06kP5IwZMwYrVqzAoUOHkJ+fD4Cbbn0+H4YPH97coREEQRAE0V6YzXHnTrJl061WDVRaWorx48ejsLAQq1evxuHDh9VleXl5AIDJkydj4MCBuPLKK3HPPfegoqICN998MxYuXEiVQARBEATRkXAYnCWeZK1CqIW0mlh58803sW/fPuzbtw89euibpTHGQ0QulwuvvfYaFi1ahHHjxiEpKQlXXHGFWtpMEARBEEQHwWmQFDb1WAEABxPKoYNSXV2N9PR0VFVVUTSGIAiCINqLxjpgRZ72OLMXcMNOy9Wbc/6miQwJgiAIgmg5DoNnxWOPuRYgsUIQBEEQhB0YDbY2VQIBJFYIgiAIgrADo8GWxApBEARBEAmFw6EXLCRWCIIgCIJIOOSKIBIrBEEQBEEkHLLJ1pdq22ZJrBAEQRAEYQ+yyTazyL7N2rYlgiAIgiBObuTISnYf2zZLYoUgCIIgCHtwOLT7WSRWCIIgCIJINE4c1e5n9rJtsyRWCIIgCIKwH7fXtk2RWCEIgiAIwl4CObZujsQKQRAEQRD2YmMKCCCxQhAEQRCE3WTZV7YMkFghCIIgCMJuup1h6+bcTa9CEARBEAQRAxc9Bux/Hxi50NbNklghCIIgCMIehlzK/2yG0kAEQRAEQSQ0JFYIgiAIgkhoSKwQBEEQBJHQkFghCIIgCCKhIbFCEARBEERCQ2KFIAiCIIiEhsQKQRAEQRAJDYkVgiAIgiASGhIrBEEQBEEkNCRWCIIgCIJIaEisEARBEASR0JBYIQiCIAgioSGxQhAEQRBEQkNihSAIgiCIhMbd3gNoKYwxAEB1dXU7j4QgCIIgiFgR521xHo9Ghxcr5eXlAICCgoJ2HglBEARBEM2lvLwc6enpUdfp8GIlKysLAHDgwAGkp6dj5MiR2LZtW9TXxLJOrOvFuq3hw4dj3759OHjwINLS0tpkn7Gsl6jjMlunuroaBQUFurEmwrjMxti3b19s3769TfYZz7bMjmUijEumI7zfVuNs7X3Gs61o40yU42ocY6KMy0hH+N3sCO93VVUVCgsL1fN4NDq8WHE6ue0mPT0daWlpcLlcTf5gxLJOrOs1Z1sAkJaWFnX99hh/oo7Lah15rIk0ro6wT+M6Vu97e49LpiO838ZxtsU+492W2TgTYVxmY0y0ccnryeNsq3121vdbnMej0ekMttdff70t69i9rYULF7b5PmNZL1HH1dG3Rcf15NpWrCTq+GlbzdsWfb9bZ1vRcLBYnC0JTHV1NdLT01FVVRXzFVB7kKjjTNRxmdERxtoRxgh0jHF2hDECNE476QhjBDrGODvbGDt8ZMXn82HZsmXw+XztPZSoJOo4E3VcZnSEsXaEMQIdY5wdYYwAjdNOOsIYgY4xzs42xg4fWSEIgiAIonPT4SMrBEEQBEF0bkisEARBEASR0JBYaUccDgc2bdrU3sMgiA4FfW8I4uQj4cXKvHnzcOGFF7b3MCyZN28eHA5HxN++ffsSYlw///nPI5YtWrQIDocD8+bNa/uBReHDDz+Ey+XC1KlT23soKh3xOCb6d8ZIIo83ET+TRn788Udce+21KCwshM/nQ15eHqZMmYKPPvqovYcWwcGDB3HNNdegW7du8Hq96NmzJ2644Qa1E3lTbN26FQ6HA0ePHrV9bOK7/sc//lH3/KZNm+BwOGzfXzzI5xuPx4OuXbti0qRJWLduHcLhcHsPr1VJeLHSEZg6dSoOHTqk+ysqKmrvYaGgoADPPPMM6urq1OdOnDiBp59+GoWFhS3admNjY0uHF8G6deuwZMkSfPDBBzhw4ECLthUKhWz78rbmcSQSGzs/k63FzJkzsXPnTjz55JP46quvsHnzZowfPx4VFRXtPTQd33zzDUaMGIGvvvoKTz/9NPbt24dHH30U77zzDsaMGZMQ4/X7/Vi1ahUqKyvbeyiWiPNNSUkJ3njjDRQXF+OGG27A9OnTEQwG23t4rUaHEitbtmzBWWedhYyMDGRnZ2P69On4+uuv1eUlJSVwOBx46aWXUFxcjEAggCFDhrT6FYa4mpH/XC4XXnnlFQwfPhx+vx+9e/fGHXfcEfFhOnToEH7yk58gKSkJRUVFeP75520b17Bhw1BYWIiXXnpJfe6ll15CQUEBzjjjDPW5WI/rc889h/Hjx8Pv9+Pvf/+7beMEgJqaGjz33HO47rrrMH36dGzYsEFdJq6mXnvtNQwZMgR+vx+jRo3Crl271HU2bNiAjIwMvPrqqxg4cCB8Ph++/fZbW8Zm13GcMGECFi9erNt2eXk5fD4f3n33XVvGaqRXr1647777dM8NHToUy5cvVx87HA488cQTuOiiixAIBHDKKadg8+bNrTKepohlvG1FtM+k+LzJmF2B33XXXcjNzUVqaioWLFiAW2+9FUOHDrVtjEePHsUHH3yAVatWobi4GD179sSZZ56J2267DdOmTQPAW5r/7Gc/Q25uLtLS0jBhwgTs3LlT3cby5csxdOhQrFmzBgUFBQgEApg1a5bt0Yvrr78eXq8Xb775Js4991wUFhbiJz/5Cd5++218//33+M1vfgMAqK+vx69+9SsUFBTA5/PhlFNOwdq1a1FSUoLi4mIAQGZmZqtENSdOnIi8vDysXLnScp0XX3wRp512Gnw+H3r16oV7771XXXbbbbdh9OjREa8ZPHgwli1bZssYxfmme/fuGDZsGG6//Xb84x//wBtvvKF+Rpt6zwFg8+bNGDFiBPx+P3JycnDxxRfbMr7WokOJlZqaGvzyl7/Etm3b8M4778DpdOKiiy6KuIL+zW9+g5tvvhk7duxAv379cPnll7e54vznP/+JuXPnYunSpfjiiy+wZs0abNiwAStWrNCt97vf/U69Mpo7dy4uv/xy7Nmzx7Zx/PSnP8X69evVx+vWrcP8+fN168R6XH/9619j6dKl2LNnD6ZMmWLbGAHg2WefRf/+/dG/f3/MnTsX69evj5iJ85ZbbsHq1auxbds25Obm4r/+6790EZ7a2lqsXLkSTzzxBHbv3o3c3FzbxmfHcVywYAGeeuop1NfXq6/ZuHEjunXrpv4Itxd33HEHZs+ejc8//xznn38+5syZkxBXuu1JLJ/JaGzcuBErVqzAqlWrsH37dhQWFuKRRx6xdYwpKSlISUnBpk2bdJ8rAWMM06ZNQ1lZGV5//XVs374dw4YNw3nnnad7f/ft24fnnnsOr7zyCrZs2YIdO3bY2r23oqIC//znP7Fo0SIkJSXpluXl5WHOnDl49tlnwRjDVVddhWeeeQb3338/9uzZg0cffRQpKSkoKCjAiy++CADYu3cvDh06hP/+7/+2bYwAbwt/991344EHHsB3330XsXz79u2YPXs2LrvsMuzatQvLly/H7373O1UkzJkzB5988onuImX37t3YtWsX5syZY+tYZSZMmIAhQ4bgpZdeiuk9f+2113DxxRdj2rRp+Pe//4133nkHI0aMaLXx2QJLcK6++mo2Y5yzGEEAABJlSURBVMYM02U//vgjA8B27drFGGNs//79DAB74okn1HV2797NALA9e/a02vhcLhdLTk5W/y655BJ29tlns7vvvlu37t/+9jeWn5+vPgbAfv7zn+vWGTVqFLvuuutsGdeMGTPY4cOHmc/nY/v372clJSXM7/ezw4cPsxkzZrCrr77a9LVWx/W+++5r8bisGDt2rLr9xsZGlpOTw9566y3GGGPvvfceA8CeeeYZdf3y8nKWlJTEnn32WcYYY+vXr2cA2I4dO2wdl53H8cSJEywrK0sdM2OMDR06lC1fvrxVxswYYz179mR/+ctfdMuHDBnCli1bpj4GwH7729+qj48fP84cDgd74403bB2XFfGM9+WXX271cUX7TK5fv56lp6fr1n/55ZeZ/JM6atQodv311+vWGTduHBsyZIit43zhhRdYZmYm8/v9bOzYsey2225jO3fuZIwx9s4777C0tDR24sQJ3Wv69OnD1qxZwxhjbNmyZczlcrGDBw+qy9944w3mdDrZoUOHbBnjxx9/HPV9+/Of/8wAsE8++YQBUI+zEfFbUFlZacu4ZOTP4ejRo9n8+fMZY/r39YorrmCTJk3Sve6WW25hAwcOVB8PHjyY3Xnnnerj2267jY0cOdL2MRq59NJL2amnnhrTez5mzBg2Z84cW8bUVnSoyMrXX3+NK664Ar1790ZaWprqCzHmkgcPHqzez8/PB8BNaK1FcXExduzYof7df//92L59O+688071yiclJQULFy7EoUOHUFtbq752zJgxum2NGTPG1shKTk4Opk2bhieffBLr16/HtGnTkJOTo1sn1uPaWsp77969+PTTT3HZZZcBANxuNy699FKsW7dOt558rLKystC/f3/dsfJ6vbr33k7sOI4+nw9z585V/68dO3Zg586dCWHQlY9bcnIyUlNTW/U7k+jE+plsahtnnnmm7jnjYzuYOXMmSktLsXnzZkyZMgVbt27FsGHDsGHDBmzfvh3Hjx9Hdna27rdo//79uqv/wsJC9OjRQ308ZswYhMNh7N271/bxmsGUiNX+/fvhcrlw7rnntsl+rVi1ahWefPJJfPHFF7rn9+zZg3HjxumeGzduHP7zn/8gFAoB4NGVjRs3AuD/19NPP92qURUBYwwOhyOm93zHjh0477zzWn1MdtKhZl2+4IILUFBQgMcffxzdunVDOBzGoEGD0NDQoFvP4/Go90UOuTWd0snJyejbt6/uuXA4jDvuuMM0D+j3+6Nuz27n+fz581WvxEMPPRSxPNbjmpycbOu4BGvXrkUwGET37t3V5xhj8Hg8TRrd5GOVlJTUqq59O47jggULMHToUHz33XdYt24dzjvvPPTs2bPVxux0OiNSF2bmaPk7A/Dj2h7VBbGOt7Vp6jMZ6ziNn0fja+zC7/dj0qRJmDRpEn7/+99jwYIFWLZsGRYtWoT8/Hxs3bo14jVGz42MGLdd36e+ffvC4XDgiy++MK38+vLLL5GZmYlAIGDL/lrKOeecgylTpuD222/XXUwIQSBjfE+vuOIK3HrrrfjXv/6Furo6HDx4UBW9rcmePXtQVFSEcDjc5HtuTMV1BDqMWCkvL8eePXuwZs0anH322QCADz74oJ1HZc2wYcOwd+/eCBFj5OOPP8ZVV12leyybNu1g6tSp6gnT6DVp7+MaDAbx17/+Fffeey8mT56sWzZz5kxs3LgRgwYNAsCPjai+qaysxFdffYUBAwa02VjtOI6nn346RowYgccffxxPPfUUHnjggVYdc5cuXXDo0CH1cXV1Nfbv39+q+2wJiTDeWD6Tffr0wbFjx1BTU6OK+B07dujW7d+/Pz799FNceeWV6nOfffZZq48fAAYOHIhNmzZh2LBhKCsrg9vtRq9evSzXP3DgAEpLS9GtWzcAwEcffQSn04l+/frZMp7s7GxMmjQJDz/8MG688UbdybKsrAwbN27EVVddhdNPPx3hcBjvv/8+Jk6cGLEdr9cLAGoUozX54x//iKFDh+qOwcCBAyO+1x9++CH69esHl8sFAOjRowfOOeccbNy4EXV1dZg4cSK6du3aqmN99913sWvXLtx4443o0aNHk+/54MGD8c477+CnP/1pq47LTjqMWMnMzER2djYee+wx5Ofn48CBA7j11lvbe1iW/P73v8f06dNRUFCAWbNmwel04vPPP8euXbtw1113qes9//zzGDFiBM466yxs3LgRn376KdauXWvrWFwul5ouEV8oQXsf11dffRWVlZW45pprkJ6erlt2ySWXYO3atfjLX/4CALjzzjuRnZ2Nrl274je/+Q1ycnLatD+HXcdxwYIFWLx4MQKBAC666KJWHfOECROwYcMGXHDBBcjMzMTvfve7iLEnEokw3lg+k++88w4CgQBuv/12LFmyBJ9++qmuWggAlixZgoULF2LEiBEYO3Ysnn32WXz++efo3bu3bWMtLy/HrFmzMH/+fAwePBipqan47LPP8Kc//QkzZszAxIkTMWbMGFx44YVYtWoV+vfvj9LSUrz++uu48MIL1dSu3+/H1VdfjdWrV6O6uhpLly7F7NmzkZeXZ9tYH3zwQYwdOxZTpkzBXXfdhaKiIuzevRu33HILunfvjhUrViArKwtXX3015s+fj/vvvx9DhgzBt99+ix9//BGzZ89Gz5494XA48Oqrr+L8889HUlISUlJSbBujzOmnn445c+boLihuuukmjBw5En/4wx9w6aWX4qOPPsKDDz6Ihx9+WPfaOXPmYPny5WhoaFB/v+yivr4eZWVlCIVC+OGHH7BlyxasXLkS06dPx1VXXQWn09nke75s2TKcd9556NOnDy677DIEg0G88cYb+NWvfmXrWG2lnbwyMXPllVeymTNnMsYYe+utt9ipp57KfD4fGzx4MNu6davOtCWMoP/+97/V11dWVjIA7L333muV8UUzPG3ZsoWNHTuWJSUlsbS0NHbmmWeyxx57TF0OgD300ENs0qRJzOfzsZ49e7Knn3661cfFGNMZQ+M5rnYxffp0dv7555su2759OwPA7r33XgaAvfLKK+y0005jXq+XjRw5UmemNTM82oGdx1Fw7NgxFggE2KJFi2wfL2P670xVVRWbPXs2S0tLYwUFBWzDhg0xGVbT09PZ+vXrW2V8rTFeO4nlM7l9+3b28ssvs759+zK/38+mT5/OHnvsMWb8Sb3zzjtZTk4OS0lJYfPnz2dLly5lo0ePtm2sJ06cYLfeeisbNmwYS09PZ4FAgPXv35/99re/ZbW1tYwxxqqrq9mSJUtYt27dmMfjYQUFBWzOnDnswIEDjDFusB0yZAh7+OGHWbdu3Zjf72cXX3wxq6iosG2cgpKSEjZv3jyWl5enjmXJkiXsyJEj6jp1dXXsxhtvZPn5+czr9bK+ffuydevWqcvvvPNOlpeXxxwOh6W5PR7MvuslJSXM5/Pp3tcXXniBDRw4kHk8HlZYWMjuueeeiG1VVlYyn8/HAoEAO3bsmK1jBMAAMLfbzbp06cImTpzI1q1bx0KhkLpeU+85Y4y9+OKLbOjQoczr9bKcnBx28cUX2zbO1iDhZ12eOnUq+vbtiwcffLC9h0K0E1u3bkVxcTEqKyuj5tk7CgcPHkSvXr2wbds2DBs2zPbtd7TvTEcbb0uYNGkS8vLy8Le//a29h6KyfPlybNq0KSKNRRCJRMKmgSorK/Hhhx9i69atpq3OCaKj0djYiEOHDuHWW2/F6NGjbRcqHe0709HG21xqa2vx6KOPYsqUKXC5XHj66afx9ttv46233mrvoRFEhyNhxcr8+fOxbds23HTTTZgxY0Z7D4cgWsz//u//ori4GP369cMLL7xg+/Y72nemo423uTgcDrz++uu46667UF9fj/79++PFF180NY4SBBGdhE8DEQRBEARxctOhmsIRBEEQBHHyQWKFIAiCIIiEhsQKQRAEQRAJTbuLlZUrV2LkyJFITU1Fbm4uLrzwwoj5KBhjWL58Obp164akpCSMHz8eu3fvVpdXVFRgyZIl6N+/PwKBAAoLC7F06VJUVVWp65SUlOCaa65BUVERkpKS0KdPHyxbtiyipTxBEARBEIlFu4uV999/H9dffz0+/vhjvPXWWwgGg5g8eTJqamrUdf70pz/hz3/+Mx588EFs27YNeXl5mDRpEo4dOwYAKC0tRWlpKVavXo1du3Zhw4YN2LJlC6655hp1G19++SXC4TDWrFmD3bt34y9/+QseffRR3H777W3+PxMEQRAEETsJVw10+PBh5Obm4v3338c555wDxhi6deuGX/ziF/j1r38NgLcb7tq1K1atWoVrr73WdDvPP/885s6di5qaGrjd5hXa99xzDx555BF88803rfb/EARBEATRMto9smJEpG6ysrIA8CnDy8rKdBOK+Xw+nHvuufjwww+jbictLc1SqIh1xH4IgiAIgkhMEkqsMMbwy1/+EmeddZY6025ZWRkARMxa2bVrV3WZkfLycvzhD3+wjLoAwNdff40HHnigU3bOJAiCIIjOREJ1sF28eDE+//zziCm4Ad4NUoYxFvEcwKeUnzZtGgYOHIhly5aZ7qe0tBRTp07FrFmzsGDBAnsGTxAEQRBEq5AwkZUlS5Zg8+bNeO+999CjRw/1eTFFuTGK8uOPP0ZEW44dO4apU6ciJSUFL7/8MjweT8R+SktLUVxcjDFjxuCxxx5rhf+EIAiCIAg7aXexwhjD4sWL8dJLL+Hdd99FUVGRbnlRURHy8vJ0k381NDTg/fffx9ixY9XnqqurMXnyZHi9XmzevBl+vz9iX99//z3Gjx+PYcOGYf369XA62/3fJwiCIAiiCdo9DXT99dfjqaeewj/+8Q+kpqaqEZT09HQkJSXB4XDgF7/4Be6++26ccsopOOWUU3D33XcjEAjgiiuuAMAjKpMnT0ZtbS3+/ve/o7q6GtXV1QCALl26wOVyobS0FOPHj0dhYSFWr16Nw4cPq2MQ0RuCIAiCIBKPdi9dNvOdAMD69esxb948ADz6cscdd2DNmjWorKzEqFGj8NBDD6km3K1bt6K4uNh0O/v370evXr2wYcMG/PSnPzVdJ8GqtwmCIAiCkGh3sUIQBEEQBBENMm0QBEEQBJHQkFghCIIgCCKhIbFCEARBEERCQ2KFIAiCIIiEhsQKQRAEQRAJDYkVgiAIgiASGhIrBEEQBEEkNCRWCIIgCIJIaEisEATRasybNw8OhwMOhwMejwddu3bFpEmTsG7dOoTD4Yj1J0+eDJfLhY8//hgAUFJSor7e6m/58uVR1xPbIgii40IdbAmCaDXmzZuHH374AevXr0coFMIPP/yALVu2YOXKlTj77LOxefNmuN18irIDBw7gtNNOw/z581FbW4vHH38coVBIN4/X6tWrsWXLFrz99tvqcykpKThy5AiKiorw9ttv47TTTtONITs723QGdoIgOg7tPpEhQRCdG5/Pp04W2r17dwwbNgyjR4/Geeedhw0bNmDBggUA+Hxg06dPx3XXXYczzzwT9913H5KTk3UTjaakpMDtdkdMPnrkyBEAXJjQxKQE0fmgNBBBEG3OhAkTMGTIELz00ksA+GSi69evx9y5czFgwAD069cPzz33XDuPkiCIRIHECkEQ7cKAAQNQUlICAHj77bdRW1uLKVOmAADmzp2LtWvXNnubY8eORUpKiu4vFArZOWyCINoBSgMRBNEuMMbgcDgAAGvXrsWll16q+lcuv/xy3HLLLdi7dy/69+8f8zafffZZnHrqqbrnXC6XfYMmCKJdILFCEES7sGfPHhQVFaGiogKbNm1CY2MjHnnkEXV5KBTCunXrsGrVqpi3WVBQgL59+7bGcAmCaEcoDUQQRJvz7rvvYteuXZg5cyY2btyIHj16YOfOndixY4f6d9999+HJJ59EMBhs7+ESBNHOUGSFIIhWpb6+HmVlZRGly9OnT8dVV12F4cOH45JLLsGgQYN0r+vZsyd+/etf47XXXsOMGTNi2ld5eTnKysp0z2VkZMDv99v2/xAE0fZQZIUgiFZly5YtyM/PR69evTB16lS89957uP/++/GPf/wDO3bswM6dOzFz5syI16WmpmLy5MnNMtpOnDgR+fn5ur9NmzbZ+N8QBNEeUFM4giAIgiASGoqsEARBEASR0JBYIQiCIAgioSGxQhAEQRBEQkNihSAIgiCIhIbECkEQBEEQCQ2JFYIgCIIgEhoSKwRBEARBJDQkVgiCIAiCSGhIrBAEQRAEkdCQWCEIgiAIIqEhsUIQBEEQREJDYoUgCIIgiITm/wN8ci+8DVPa6QAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df_2022 = df_tmax[(df_tmax.index >= pd.to_datetime('2022-01-01'))\n",
+    " & (df_tmax.index <= pd.to_datetime('2022-12-31'))]\n",
+    "\n",
+    "df_2_2022 = df_tmin[(df_tmin.index >= pd.to_datetime('2022-01-01')) \n",
+    "& (df_tmin.index <= pd.to_datetime('2022-12-31'))]\n",
+    "\n",
+    "df_extremes=pd.DataFrame({'TMAX':df_2022['DATA_VALUE']/10.,'TMIN':df_2_2022['DATA_VALUE']/10.},\n",
+    "    index=df_2022.index)\n",
+    "\n",
+    "df_extremes.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's make a histogram of low temperatures"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "arr_hist, edges = np.histogram(df_tmin['DATA_VALUE'][(df_tmin.index >= '1991-01-01') & (df_tmin.index < '2020-01-01')]/10., \n",
+    "                               bins = np.arange(-40,47,2.5), density=True)\n",
+    "# Put the information in a dataframe\n",
+    "temps = pd.DataFrame({'hist': arr_hist, \n",
+    "                       'left': edges[:-1], \n",
+    "                       'right': edges[1:]})\n",
+    "\n",
+    "arr_hist, edges = np.histogram(df_tmin['DATA_VALUE'][(df_tmin.index >= '1901-01-01') & (df_tmin.index < '1930-01-01')]/10., \n",
+    "                               bins = np.arange(-40,47,2.5), density=True)\n",
+    "# Put the information in a dataframe\n",
+    "temps2 = pd.DataFrame({'hist': arr_hist, \n",
+    "                       'left': edges[:-1], \n",
+    "                       'right': edges[1:]})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x75e24ce5c410>"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x850 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(11,8.5))\n",
+    "\n",
+    "plt.bar(temps['left'].values+(temps['right'].values-temps['left'].values)/4.,temps['hist'].values, width=.4, label='1991-2020')\n",
+    "plt.bar(temps2['left'].values+(temps2['right'].values-temps2['left'].values)/2.,temps2['hist'].values, width=.4, label='1901-1930')\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_tulsa = pd.read_csv(\n",
+    "...      \"s3://noaa-ghcn-pds/csv/by_station/USW00013968.csv\",\n",
+    "...      storage_options={\"anon\": True},  # passed to `s3fs.S3FileSystem`\n",
+    "         dtype={'Q_FLAG': 'object', 'M_FLAG': 'object'},\n",
+    "         parse_dates=['DATE']\n",
+    "... ).set_index('DATE')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>ELEMENT</th>\n",
+       "      <th>DATA_VALUE</th>\n",
+       "      <th>M_FLAG</th>\n",
+       "      <th>Q_FLAG</th>\n",
+       "      <th>S_FLAG</th>\n",
+       "      <th>OBS_TIME</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DATE</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1938-12-01</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>183</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2400.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1938-12-02</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>222</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2400.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1938-12-03</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>200</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2400.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1938-12-04</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>150</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2400.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1938-12-05</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>133</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2400.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-02-03</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>WSF5</td>\n",
+       "      <td>130</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>W</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-02-04</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>WSF5</td>\n",
+       "      <td>130</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>W</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-02-05</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>WSF5</td>\n",
+       "      <td>67</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>W</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-02-04</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>WT01</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>W</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-02-05</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>WT01</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>W</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>411984 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     ID ELEMENT  DATA_VALUE M_FLAG Q_FLAG S_FLAG  OBS_TIME\n",
+       "DATE                                                                      \n",
+       "1938-12-01  USW00013968    TMAX         183    NaN    NaN      6    2400.0\n",
+       "1938-12-02  USW00013968    TMAX         222    NaN    NaN      6    2400.0\n",
+       "1938-12-03  USW00013968    TMAX         200    NaN    NaN      6    2400.0\n",
+       "1938-12-04  USW00013968    TMAX         150    NaN    NaN      6    2400.0\n",
+       "1938-12-05  USW00013968    TMAX         133    NaN    NaN      6    2400.0\n",
+       "...                 ...     ...         ...    ...    ...    ...       ...\n",
+       "2025-02-03  USW00013968    WSF5         130    NaN    NaN      W       NaN\n",
+       "2025-02-04  USW00013968    WSF5         130    NaN    NaN      W       NaN\n",
+       "2025-02-05  USW00013968    WSF5          67    NaN    NaN      W       NaN\n",
+       "2025-02-04  USW00013968    WT01           1    NaN    NaN      W       NaN\n",
+       "2025-02-05  USW00013968    WT01           1    NaN    NaN      W       NaN\n",
+       "\n",
+       "[411984 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_tulsa"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>DATE</th>\n",
+       "      <th>DATA_VALUE</th>\n",
+       "      <th>M_FLAG</th>\n",
+       "      <th>Q_FLAG</th>\n",
+       "      <th>S_FLAG</th>\n",
+       "      <th>OBS_TIME</th>\n",
+       "      <th>ELEMENT</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>19650101</td>\n",
+       "      <td>100</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>X</td>\n",
+       "      <td>None</td>\n",
+       "      <td>ACMH</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>19650102</td>\n",
+       "      <td>100</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>X</td>\n",
+       "      <td>None</td>\n",
+       "      <td>ACMH</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>19650103</td>\n",
+       "      <td>20</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>X</td>\n",
+       "      <td>None</td>\n",
+       "      <td>ACMH</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>19650104</td>\n",
+       "      <td>40</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>X</td>\n",
+       "      <td>None</td>\n",
+       "      <td>ACMH</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>19650105</td>\n",
+       "      <td>90</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>X</td>\n",
+       "      <td>None</td>\n",
+       "      <td>ACMH</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>411979</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>20031009</td>\n",
+       "      <td>1</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>X</td>\n",
+       "      <td>None</td>\n",
+       "      <td>WV03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>411980</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>20031123</td>\n",
+       "      <td>1</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>X</td>\n",
+       "      <td>None</td>\n",
+       "      <td>WV03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>411981</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>20031203</td>\n",
+       "      <td>1</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>X</td>\n",
+       "      <td>None</td>\n",
+       "      <td>WV03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>411982</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>20040420</td>\n",
+       "      <td>1</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>X</td>\n",
+       "      <td>None</td>\n",
+       "      <td>WV03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>411983</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>20040723</td>\n",
+       "      <td>1</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>X</td>\n",
+       "      <td>None</td>\n",
+       "      <td>WV03</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>411984 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ID      DATE  DATA_VALUE M_FLAG Q_FLAG S_FLAG OBS_TIME  \\\n",
+       "0       USW00013968  19650101         100   None   None      X     None   \n",
+       "1       USW00013968  19650102         100   None   None      X     None   \n",
+       "2       USW00013968  19650103          20   None   None      X     None   \n",
+       "3       USW00013968  19650104          40   None   None      X     None   \n",
+       "4       USW00013968  19650105          90   None   None      X     None   \n",
+       "...             ...       ...         ...    ...    ...    ...      ...   \n",
+       "411979  USW00013968  20031009           1   None   None      X     None   \n",
+       "411980  USW00013968  20031123           1   None   None      X     None   \n",
+       "411981  USW00013968  20031203           1   None   None      X     None   \n",
+       "411982  USW00013968  20040420           1   None   None      X     None   \n",
+       "411983  USW00013968  20040723           1   None   None      X     None   \n",
+       "\n",
+       "       ELEMENT  \n",
+       "0         ACMH  \n",
+       "1         ACMH  \n",
+       "2         ACMH  \n",
+       "3         ACMH  \n",
+       "4         ACMH  \n",
+       "...        ...  \n",
+       "411979    WV03  \n",
+       "411980    WV03  \n",
+       "411981    WV03  \n",
+       "411982    WV03  \n",
+       "411983    WV03  \n",
+       "\n",
+       "[411984 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_tul = pd.read_parquet(\n",
+    "    \"s3://noaa-ghcn-pds/parquet/by_station/STATION=USW00013968/\",\n",
+    "    storage_options={\"anon\": True},  # passed to `s3fs.S3FileSystem`\n",
+    ")\n",
+    "\n",
+    "df_tul"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>DATA_VALUE</th>\n",
+       "      <th>M_FLAG</th>\n",
+       "      <th>Q_FLAG</th>\n",
+       "      <th>S_FLAG</th>\n",
+       "      <th>OBS_TIME</th>\n",
+       "      <th>ELEMENT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DATE</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1938-12-01</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>PRCP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1938-12-01</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>SNWD</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1938-12-01</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>183</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1938-12-01</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>SNOW</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1938-12-01</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>122</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TOBS</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-02-06</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>D</td>\n",
+       "      <td>None</td>\n",
+       "      <td>SNOW</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-02-06</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>0</td>\n",
+       "      <td>T</td>\n",
+       "      <td>None</td>\n",
+       "      <td>D</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>PRCP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-02-06</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>D</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>SNWD</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-02-06</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>33</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>D</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMIN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-02-06</th>\n",
+       "      <td>USW00013968</td>\n",
+       "      <td>90</td>\n",
+       "      <td>H</td>\n",
+       "      <td>None</td>\n",
+       "      <td>S</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TAVG</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>411984 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     ID  DATA_VALUE M_FLAG Q_FLAG S_FLAG OBS_TIME ELEMENT\n",
+       "DATE                                                                     \n",
+       "1938-12-01  USW00013968           0   None   None      6     2400    PRCP\n",
+       "1938-12-01  USW00013968           0   None   None      6     None    SNWD\n",
+       "1938-12-01  USW00013968         183   None   None      6     2400    TMAX\n",
+       "1938-12-01  USW00013968           0   None   None      6     None    SNOW\n",
+       "1938-12-01  USW00013968         122   None   None      6     2400    TOBS\n",
+       "...                 ...         ...    ...    ...    ...      ...     ...\n",
+       "2025-02-06  USW00013968           0   None   None      D     None    SNOW\n",
+       "2025-02-06  USW00013968           0      T   None      D     2400    PRCP\n",
+       "2025-02-06  USW00013968           0   None   None      D     2400    SNWD\n",
+       "2025-02-06  USW00013968          33   None   None      D     2400    TMIN\n",
+       "2025-02-06  USW00013968          90      H   None      S     None    TAVG\n",
+       "\n",
+       "[411984 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#make date the index\n",
+    "df_tul['DATE'] = pd.to_datetime(df_tul['DATE'], format = '%Y%m%d')\n",
+    "#.apply(lambda x: datetime.strptime(x, '%Y%m%d')))\n",
+    "df_tul = df_tul.set_index('DATE').sort_index()  #we need to sort by time because the files are sorted to be arbitrary\n",
+    "df_tul\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>DATA_VALUE</th>\n",
+       "      <th>M_FLAG</th>\n",
+       "      <th>Q_FLAG</th>\n",
+       "      <th>S_FLAG</th>\n",
+       "      <th>OBS_TIME</th>\n",
+       "      <th>ELEMENT</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DATE</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1902-08-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>300</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-02</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>322</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-03</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>322</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-04</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>256</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1902-08-05</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>289</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-09-27</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>289</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-09-28</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>317</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-09-29</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>322</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-09-30</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>333</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-10-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>311</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>H</td>\n",
+       "      <td>0800</td>\n",
+       "      <td>TMAX</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>44918 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     ID  DATA_VALUE M_FLAG Q_FLAG S_FLAG OBS_TIME ELEMENT\n",
+       "DATE                                                                     \n",
+       "1902-08-01  USC00118740         300   None   None      6     None    TMAX\n",
+       "1902-08-02  USC00118740         322   None   None      6     None    TMAX\n",
+       "1902-08-03  USC00118740         322   None   None      6     None    TMAX\n",
+       "1902-08-04  USC00118740         256   None   None      6     None    TMAX\n",
+       "1902-08-05  USC00118740         289   None   None      6     None    TMAX\n",
+       "...                 ...         ...    ...    ...    ...      ...     ...\n",
+       "2025-09-27  USC00118740         289   None   None      H     0800    TMAX\n",
+       "2025-09-28  USC00118740         317   None   None      H     0800    TMAX\n",
+       "2025-09-29  USC00118740         322   None   None      H     0800    TMAX\n",
+       "2025-09-30  USC00118740         333   None   None      H     0800    TMAX\n",
+       "2025-10-01  USC00118740         311   None   None      H     0800    TMAX\n",
+       "\n",
+       "[44918 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_tul_tmax = df.loc[df['ELEMENT'] == 'TMAX']\n",
+    "df_tul_tmin = df.loc[df['ELEMENT'] == 'TMIN']\n",
+    "\n",
+    "df_tul_tmax"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>DATA_VALUE</th>\n",
+       "      <th>M_FLAG</th>\n",
+       "      <th>Q_FLAG</th>\n",
+       "      <th>S_FLAG</th>\n",
+       "      <th>OBS_TIME</th>\n",
+       "      <th>ELEMENT</th>\n",
+       "      <th>Values</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DATE</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1991-01-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>-11</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>-1.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1991-01-02</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>-22</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>-2.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1991-01-03</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>-83</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>-8.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1991-01-04</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>-33</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>-3.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1991-01-05</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>0.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-27</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>78</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>7.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-28</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>133</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>13.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-29</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>150</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>15.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-30</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>44</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>4.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-31</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>11</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMAX</td>\n",
+       "      <td>1.1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>10560 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     ID  DATA_VALUE M_FLAG Q_FLAG S_FLAG OBS_TIME ELEMENT  \\\n",
+       "DATE                                                                        \n",
+       "1991-01-01  USC00118740         -11   None   None      0     2400    TMAX   \n",
+       "1991-01-02  USC00118740         -22   None   None      0     2400    TMAX   \n",
+       "1991-01-03  USC00118740         -83   None   None      0     2400    TMAX   \n",
+       "1991-01-04  USC00118740         -33   None   None      0     2400    TMAX   \n",
+       "1991-01-05  USC00118740           6   None   None      0     2400    TMAX   \n",
+       "...                 ...         ...    ...    ...    ...      ...     ...   \n",
+       "2019-12-27  USC00118740          78   None   None      7     2400    TMAX   \n",
+       "2019-12-28  USC00118740         133   None   None      7     2400    TMAX   \n",
+       "2019-12-29  USC00118740         150   None   None      7     2400    TMAX   \n",
+       "2019-12-30  USC00118740          44   None   None      7     2400    TMAX   \n",
+       "2019-12-31  USC00118740          11   None   None      7     2400    TMAX   \n",
+       "\n",
+       "            Values  \n",
+       "DATE                \n",
+       "1991-01-01    -1.1  \n",
+       "1991-01-02    -2.2  \n",
+       "1991-01-03    -8.3  \n",
+       "1991-01-04    -3.3  \n",
+       "1991-01-05     0.6  \n",
+       "...            ...  \n",
+       "2019-12-27     7.8  \n",
+       "2019-12-28    13.3  \n",
+       "2019-12-29    15.0  \n",
+       "2019-12-30     4.4  \n",
+       "2019-12-31     1.1  \n",
+       "\n",
+       "[10560 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_tul_tmax = df_tul_tmax[\n",
+    "    (df_tul_tmax.index >= pd.to_datetime('1991-01-01')) \n",
+    "    & (df_tul_tmax.index <= pd.to_datetime('2019-12-31'))]\n",
+    "\n",
+    "df_tul_tmax['Values'] = df_tul_tmax['DATA_VALUE']/10\n",
+    "\n",
+    "df_tul_tmax"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>DATA_VALUE</th>\n",
+       "      <th>M_FLAG</th>\n",
+       "      <th>Q_FLAG</th>\n",
+       "      <th>S_FLAG</th>\n",
+       "      <th>OBS_TIME</th>\n",
+       "      <th>ELEMENT</th>\n",
+       "      <th>Values</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DATE</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1991-01-01</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>-106</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>-10.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1991-01-02</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>-83</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>-8.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1991-01-03</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>-133</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>-13.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1991-01-04</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>-128</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>-12.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1991-01-05</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>-28</td>\n",
+       "      <td>None</td>\n",
+       "      <td>I</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>-2.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-27</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>0.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-28</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-29</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>44</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>4.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-30</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>-6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>-0.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-31</th>\n",
+       "      <td>USC00118740</td>\n",
+       "      <td>-11</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>TMIN</td>\n",
+       "      <td>-1.1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>10558 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     ID  DATA_VALUE M_FLAG Q_FLAG S_FLAG OBS_TIME ELEMENT  \\\n",
+       "DATE                                                                        \n",
+       "1991-01-01  USC00118740        -106   None   None      0     2400    TMIN   \n",
+       "1991-01-02  USC00118740         -83   None   None      0     2400    TMIN   \n",
+       "1991-01-03  USC00118740        -133   None   None      0     2400    TMIN   \n",
+       "1991-01-04  USC00118740        -128   None   None      0     2400    TMIN   \n",
+       "1991-01-05  USC00118740         -28   None      I      0     2400    TMIN   \n",
+       "...                 ...         ...    ...    ...    ...      ...     ...   \n",
+       "2019-12-27  USC00118740           6   None   None      7     2400    TMIN   \n",
+       "2019-12-28  USC00118740           0   None   None      7     2400    TMIN   \n",
+       "2019-12-29  USC00118740          44   None   None      7     2400    TMIN   \n",
+       "2019-12-30  USC00118740          -6   None   None      7     2400    TMIN   \n",
+       "2019-12-31  USC00118740         -11   None   None      7     2400    TMIN   \n",
+       "\n",
+       "            Values  \n",
+       "DATE                \n",
+       "1991-01-01   -10.6  \n",
+       "1991-01-02    -8.3  \n",
+       "1991-01-03   -13.3  \n",
+       "1991-01-04   -12.8  \n",
+       "1991-01-05    -2.8  \n",
+       "...            ...  \n",
+       "2019-12-27     0.6  \n",
+       "2019-12-28     0.0  \n",
+       "2019-12-29     4.4  \n",
+       "2019-12-30    -0.6  \n",
+       "2019-12-31    -1.1  \n",
+       "\n",
+       "[10558 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_tul_tmin = df_tul_tmin[\n",
+    "    (df_tul_tmin.index >= pd.to_datetime('1991-01-01')) \n",
+    "    & (df_tul_tmin.index <= pd.to_datetime('2019-12-31'))]\n",
+    "\n",
+    "\n",
+    "df_tul_tmin['Values'] = df_tul_tmin['DATA_VALUE']/10\n",
+    "\n",
+    "df_tul_tmin"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The max temperature for 1991-2020 is 39.4 degC\n",
+      "The min temperature for 1991-2020 is -31.7 degC\n",
+      "The average daily high temperature for 1991-2020 is 16.81 degC\n",
+      "The average daily low temperature for 1991-2020 is 5.86 degC\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Max, min, and means\n",
+    "\n",
+    "max_value = df_tul_tmax['Values'].max()\n",
+    "min_value = df_tul_tmin['Values'].min()\n",
+    "\n",
+    "normal_min = df_tul_tmin['Values'].mean().round(2)\n",
+    "normal_max = df_tul_tmax['Values'].mean().round(2)\n",
+    "\n",
+    "print('The max temperature for 1991-2020 is', max_value, 'degC')\n",
+    "print('The min temperature for 1991-2020 is', min_value, 'degC')\n",
+    "print('The average daily high temperature for 1991-2020 is', normal_max, 'degC')\n",
+    "print('The average daily low temperature for 1991-2020 is', normal_min, 'degC')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Max = 2012-07-06 00:00:00 \n",
+      "Min = 1994-01-19 00:00:00\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Dates of max and min\n",
+    "max_timestamp = df_tul_tmax['Values'].idxmax()\n",
+    "min_timestamp = df_tul_tmin['Values'].idxmin()\n",
+    "print('Max =', max_timestamp, '\\n'\n",
+    "'Min =', min_timestamp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                     ID  DATA_VALUE M_FLAG Q_FLAG S_FLAG OBS_TIME ELEMENT  \\\n",
+      "DATE                                                                        \n",
+      "1994-01-19  USC00118740        -317   None   None      0     2400    TMIN   \n",
+      "1999-01-05  USC00118740        -317   None   None      0     2400    TMIN   \n",
+      "\n",
+      "            Values  \n",
+      "DATE                \n",
+      "1994-01-19   -31.7  \n",
+      "1999-01-05   -31.7  \n",
+      "                     ID  DATA_VALUE M_FLAG Q_FLAG S_FLAG OBS_TIME ELEMENT  \\\n",
+      "DATE                                                                        \n",
+      "2012-07-06  USC00118740         394   None   None      7     2400    TMAX   \n",
+      "2012-07-07  USC00118740         394   None   None      7     2400    TMAX   \n",
+      "2012-07-25  USC00118740         394   None   None      7     2400    TMAX   \n",
+      "\n",
+      "            Values  \n",
+      "DATE                \n",
+      "2012-07-06    39.4  \n",
+      "2012-07-07    39.4  \n",
+      "2012-07-25    39.4  \n"
+     ]
+    }
+   ],
+   "source": [
+    "min_date = df_tul_tmin.loc[df_tul_tmin['Values'] == df_tul_tmin['Values'].min()]\n",
+    "\n",
+    "max_date = df_tul_tmax.loc[df_tul_tmax['Values'] == df_tul_tmax['Values'].max()]\n",
+    "\n",
+    "print(min_date)\n",
+    "print(max_date)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_2022 = df_tmax[(df_tmax.index >= pd.to_datetime('2022-01-01'))\n",
+    " & (df_tmax.index <= pd.to_datetime('2022-12-31'))]\n",
+    "\n",
+    "df_2_2022 = df_tmin[(df_tmin.index >= pd.to_datetime('2022-01-01')) \n",
+    "& (df_tmin.index <= pd.to_datetime('2022-12-31'))]\n",
+    "\n",
+    "df_extremes=pd.DataFrame({'TMAX':df_2022['DATA_VALUE']/10.,'TMIN':df_2_2022['DATA_VALUE']/10.},\n",
+    "    index=df_2022.index)\n",
+    "\n",
+    "df_extremes.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='DATE'>"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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ZtJc02Kj4osXOxQy4sKISs7cOn5VQK1LIKrLYKD7I5yTi+bAIcFbYNqf0ETNKWGHZnRUoOYclflW6h2Fl2ddXmL4bjbYpSssoam7JSg8v1Sy9iNaYfMZaa82Gg4WEu+maHcgZSYkC4YaXoTW8QqDhwopKWJyS6YHUljgagUHuEpoP8oA54g6D7qRoFzimrTZ/FqR06/RaBfJ1f/3K9/LbYK2wo1DPYJt9v6bfeh4RatetXBe0mpU+DFvkfRm6MMepGMsW0YXb6LSvHxr0PlnMtl533lt1TLMDOSNJDUDQTj20M4GACysqMUp1P23NCSY1NY2DMbkraLbRXpTo1DSO8sQCnAHA6WvqnC75whpUEjB+IL5+JxUfrDqGAxdueR2n9cQqxlodjN9oAp3pKawci6c3GHbY9ZfUbt5Nx4erjuPkFfl6KM00lWqWkZmFhpP+9BN6qGQVidt9KQCzX5Yt8lqckfkh09WUtgGzTiJ3SixRV4mJYsqXlUA4jgwWuLCiEqP8Tnzy1z9MgwWheFfl6k6zDCSFZ7wfKbrNEt9mLLZrQw1v/XxY8eOjhFqX1mp5ael+fLbulGpX1nJPhMWWxMU792xK5AgiFxmKtP1oA2asO4mHpm1kykdJ6Jj0+1FcvZ2KTT7GyTTu/qVudyC0bCxb5F9Yspe5fLkPs5JDSNZdPFITByOEZjVwWSUHLqyoxMi+c4HRa6cSch2fxSzj1FVzt0reSLJ2dNFtGuNJGT1OHfDYdSKFWj9AStykNOw1ovF6DfxKu7SkHGqxOEczakcaLUr3bvu/7Mbzd9OkhTkpWz0XzNHcJTDfu6vx0kpMtNPwMvSACysqMTIKp9HdUm4rmlFGpEpYYebAUoWhFDFMtMaTGvkt+2xVDpoPIKvmy5e6E9egy8zNzPnQLGEZhdJtk1o6o/nuSb0PZn8yv1Nwnsiqcd555ga13yRfjsUn4ud9xkTHDvbdWUq+fQ5dSJCMg2U1uLCiki//tsY2TC3Ied40awZhdqwlgE1gWqmDnwMprhi8e0ZJPiWE6K5ZAYC9524pXqNU7Cad/WGoQeldkepPNEutVngfxFAa91i7yTsMvnhmrmML1ikHa4wqs1G6r1Keva2IocLKrFmzUKtWLURHRyM6OhpNmzbFH3/84T5PCMH48eNRokQJhIeHo3Xr1jh8+LCRVbI0LB9N1kFOjWM6PWHdcq0HSveOxfD57V+V7ULMQk6bduZaEhq886cm990AMOSbXVqrheS0TLT+0N9dvifpBrkQoPE3pCTXS2kZxOIV0aLFVb/eeG7D1psQs9xEm4zvDsFA8+fRy6aWrwZDhZVSpUrh3Xffxa5du7Br1y60adMGjz/+uFsgef/99zFt2jTMmDEDO3fuRGxsLNq2bYvbt41bauFYi6t67CJgxMilKM8IulZD7vMw6fej1I7jxFh9RPsguOpwPFIUtmwa9cyeW7RH+SIFWKpmhWVRKTy3YeuN+bYh4txXMr+h+S/aIR/uw8r9IdAYKqw8+uijeOSRR1C5cmVUrlwZkyZNQr58+bBt2zYQQjB9+nS88cYb6Nq1K2rWrIn58+fj7t27WLx4sZHVMpWP1kj7QbBaVONAQOv9Vg6ts39agvGxHLmYiG93yNsZyNmsmNlmmu+Wmd82JVsflj59/U7w2UjsPSfulkANVpi0iFEgIsTQ/JX8qMi9hrSOAnMLAbNZyczMxJIlS5CUlISmTZvi9OnTiI+PR7t27dzXOJ1OtGrVClu2SEfTTU1NRWJiotdPsHAjKQ0fyxi55tYZmRKsL91bJi1hmY2cb4lHPvkbY5YdlE0vp3k3Whg4rsLnihhm7o5JSDZOdf/oDGMjJhsRWK/LTOXo56euygtwVg2+aHQ/m71Ru73NZ4y2OkcuBs+3EwiAsHLw4EHky5cPTqcTQ4cOxU8//YTq1asjPj7bMDEmJsbr+piYGPc5MaZMmYL8+fO7f+Li4gytv54oDXJ6OuAKJmjabaTWSSlrqz6VDEaDHzNV7/EygRRp6mXmosEdhp1IZmtP5e67kVwOEi+pgUZ5uVO6v2h1ieDi3A1rCohSGC6sVKlSBfv27cO2bdvw3HPPoX///jhyJMfo0FdyJYTISrNjxoxBQkKC++f8eWu5SJby1AoAFxW8UCpt/7OyBmHXGeOCFJ69noRyY343LH85A9tDFxIwTWbpzkxYozKzCCvLZYKvzaOw0wm1Sw89FjVfcMOyzb/cmN+pnMMZhVFOLRUx8JmytkhuXN144iqSZfy/0PDaD9pjDq07fhV308yPn2YFDBdWQkNDUbFiRTRo0ABTpkxB7dq18fHHHyM2NhYA/LQoV65c8dO2eOJ0Ot27i1w/VkLKUysATF19XDatkoJhwTZ5YywzGcSw+0Op3W0/YvM4ysKL3+0zrWwlmLe5MnxARsncl/EUO6DkPIPSCGFmCjSsGql1OoRK0IpZwgqrYG0kSuPq6iNs7gm+28U2of7tgMQuLMZHGWymAwH3s0IIQWpqKsqVK4fY2FisWbPGfS4tLQ0bNmxAs2bNAl2tgLBHwb/Eu38cw7F4beuIZvc7Fu+cSgOo0ctjcsUbHZtDyobgx93/GVouIG2zcurqHaxh2M3DUjYA3KZYZjHz48fqQNEIQWvrqet4aNoG5QvNUqyYKKu8+8cxpvRKY5tZS3tW9cljFIYKK//73//w999/48yZMzh48CDeeOMNrF+/Hr1794YgCBg1ahQmT56Mn376CYcOHcKAAQMQERGBp556yshqWZoRi431WmoULPYTSnGNjJ4NyuZu8Hgw9hdxFfTLChGZAfaZkZSGYDSD2loP9Ih7ZCRmeXuW48kvt1HtQjLLLM7MO/b5BjZDVKXJ0tFL5rjaYJ3EBZuo4zAy88uXL6Nv3764dOkS8ufPj1q1amHlypVo27YtAGD06NFITk7GsGHDcPPmTTRu3BirV69GVJS5kS7NhHV9VAojdgF4omQoJoeSMGL0xEVuZmT0C83yvE9fS0JNBj8QUsIKrU3FldspKBYVprF06c9XGoXDNyl54cKtZBw2KE5MTtmsn15t6e+kZiCfk23I1lvwp93JZ3ZsIxaUQk5odVB4nXG7NrOwEmTSiqGala+//hpnzpxBamoqrly5gj///NMtqADZHXj8+PG4dOkSUlJSsGHDBtSsWdPIKlkerSpFpXQtP5D3CMpStosMiZdWKZ7S5lPmuU4H5AUSo7dUsnz4On3Kts1VqmgHpeagLUP0Yrlm03RDqfTN312LIRTxmligvT96M2rJPuY89BZWPlwlb4fnwkhZ5bjGpXNaMhW0xlrvaWfGGFmsWrItJo+7auGxgXSmS92SppS74cRV3Ek112pc6uU5cVlePb3n7C39K6MC6kjABmAz8Q1k1RAY4W8kIzML524YqwVkRe6+0byDUsmVNFp6uEaX+q4evqhNG/XTXroAgkaKd0rji5H8e/WO5qjz52+wxR1i1axIRQe3KlxY0ZkQmV0ORvLS0v3o/eU2pjxYJ11manpvMURHbfXBev0q4gFN3A8zfZ2Y6gVW4vj4X2ljg1lzWaHXF1s1p9VqCKpG2BbTAvx79Q46fqJNS0drqxbEq0CSpKRnos3UDXiFwr7MCFiFlX908B4eSLiwkovY/x/bWr1RS5iBsFq3YnTUCwp+dcxG8vsRgC+LlA3Dwm3yIQJy0utZG5XIlH3ogvKShFTyeVvOaKqOmr4v9n07wDBuZFLvAgxeaUWqhSyBKfXANJ85JsGFFY4bVpuVVBn373LM2Xwaf/9zlalsK87caIQ0czUr4mXvP3/L8LJ/20+3fCCFmY9bSn1ulrM3NV1o5SE2nyG+3KZceparo1ERtPVi7M+HcYXR8y/Ndny1GO1WwWpwYYXjhrXrL92p3flR3693MJYenFhxKSYQfMW4PdmKu0uUAkdagR/3GO+/Rwy5p7XWRCd5tExccZQpPev2aTHyWngWLqxQkpSagZcovJku3fWfqe60xcii7NSsnf92ivgsKxATADOdhEm5nqdpt5maFbNhiW1ixF1j9e8i1f99sZqg9d9N4w2aZ66X/ljfobxvZnIjiW2bcWKy/m1Uitic2+DCCiUz15/EMpl4KJ6wDHpGfNfXn6CbufxE2T4p8ppa0oWc63klrPXZCiy9vmAzCNebib8phwmQw7SwO4yd6MPV+se+KhQZ6vX/miOXDfMhFQjEnq3ZHmTNCkppFlxYoeTSLfqOcfW2dik82QCtDK0h2A3GLbxmRpS10mQ1M4vg9LUkqo/XmetJ1JovvbHSPVNLMAvGet92K8bdqRLj79jTis+MVptsatWtd9tMgQsrFsNMC3NWYSOvWadL8dLSfXjgw/X4dqeyDcOpq0kYs+xgAGolhvU+crQ8a7DjNw4bNF6IrQDttmMxLYqaOcYPDLG+Fm3XP4DtIYO9PBsBF1YoUfMZDtYZq5yswTL715qSEELlqwQQv+dZWYTJcVmSRid7P+/L3umyeDudwSVrVFbtcOHSDPQeH4wYb2zIwoD6hTSnF9PSWtEglHbpW2xsVDMmsmjMWV1SiLHioEQkZwvDhRUDEOvYG0+wbc01m+6fb1G8Rm919Ks/HEDtt1dTXStW9jPzd6L2BLr0vtxJzUCNcauor7fiQKzEn0etvwsjUHyz9QxzHmbZMBghrCwPfQvjD3dADLy3ae85d5MqvViwx8dnsIWHEOMXxi3wtIjarATfK+9GalOAleHCSoCYukZ/Iza9kXv39py7FahquFGjOhUbsNcf1y4gqlWT3k2z/o6GvMqYh6sqXjP2Z1rPuewESvP6xiPVNKetZcveJNDW7r3c9tXf/1Kldzr8Py1nDAimOvJb86LUB/Oy96WE4DPO5cIKJX//oy3oU1YWwbTVxwPiaEuMtIwsjPuFbiCWevmOx9OFQBebWaakZ/oMKAQj7cvQzraTKk9aaMf/Lra/MdD+u99xVsdUaRod4gU7VtumL8azrSqYXQUvaDSQA+0r0MX2N1M5g1uWFz1+UYVnZRtyR7/+3oClVhaD4TOMAVL1Nsovjut4y7EApQX2+FNGwYUVSq6pCOftOXNaeTgen6w9aUCN6Phm6xlq/w9StJ+uPbruzHXebW9hO4SXQn7AF6EfMdXJF9rZ6kehs/BWyEKUFbzXbFkdes3eSDfjzG18kUfbLYZeE+1ywiW8FbIIH4XO8jsnttNQbbnPzKOfKPi+VrRLvVZTOrz6wwG/DzzrBINlQ0KP2dpjSAH625x8GToVAx1/YGno27rmqydcWDEYNbMYIzgronqNhrhUL/buiflGsCELkUj2y0dsIPMNlhUDujVvOfLhLgS/GZ/yIOpEjtFfNLzvyzkKFXUkkhGOFK98XPx7NbiCgunFqTzabiYUumpBSGsyVWmyUhIgtrh7jFJTCgCCRjscNamMcNcghm84EDV2Zqy7gXxhcW8B0H9XHq4ZS3VdTdsZAECswD4+GwUXVgzGat4q+9lX4UDYYPSz+xuPfvzXP17/p6Rnovq4lX7XrQj9Hw6HDcSBsMFoY9vjPi7WVN9jgsA25SorXMKhsEGYH/KebDm+2JGJfc4hmsstips4HDYQR8OewR7ns37CkpXsa1MzArc0k2GlhluUuELhqq7XKiB4Ukn4D3i3NL4K+ZApH5tWYYVS65CSnok3lx/SVIZafAU9VoNoM43qaT8rrJ8fK8Vt4sIKI3ZYf83ek7dD5nv9luPU1Tui2pZqtpwlkzcci3SrGw097RsAAC3t6nyTFMQdhAs5GhGicudSOw9Dw0ghFfngbaBmlrFdhshgcv6G8e7T3QSk2YTNdiIrS0QTRw/tOy51K7J8ihbreZ4fd29hhfhcR1UV9LWvAQA8ZNfZAJXytbGRTNB0jhOX/bU8Ro2pejulM3Opi3Y5LoM6KrY4aswfjIYLKxRIzRImOObioHMQSkDa+NZaehV1UMW28fgImPnyKpWdpfJJ+F7tm94BbzsgsyZZdd5eg9d/POBzVHuvYxV0lhkQKG9+yHvY5BwpuvzmidiHz4YsYFYz/BQ6FlokqzjhMk5FP4fXHYtVp3VB4xn6idk5oQc8tRm+WhYxbYBY3/dM95hN2e2AFFq0PKFIx5zEIVgYMlnxWt/3pgBuY7dzKKaGzFRdrhK+94l1vJLSzIx8sBJWjWrJlrlOrD5yGbvPal/asZJ3ZC6sUCDlVba/Yw0ihFQMdqwIcI2sg90iuwVC7fJdWWlcUlKX+mpifNXjtNb5sdFhVNfRcic1A0t8ol2zqH4/XfuP6PHB95ejSv/SUjqPoGpoZT+AEsINNLbJR74d/YOv0AaUFK4CV4+iju1fOKHeQeAox49A2h0MdfymfLHE18/X54jY0vCOMzn+TGyCp7CijTKFI9x/fxI6Q2Mu/sIKTX3qCicRS66ghV15F6LvRLCHfQMKCEnoZtffJ4tf2WqutZifFTXv+P9M85CtL1xYoUCpT6pdUgCyt4oNtf+C/FA2ULx2JxWfeeyqCUcK/udYhHcdX6AwjHObTBc12GNgFbkN/15l26Lni1njg9IzvnKbzm/B1jFtNJUvIAtP2/9ATUH97hsbsvCM/Q+Mc8xHC5v8wCXmf6GlbT/eKCkhhARw4qX0DMT6hlabCxdqmndTYlKj1gePp4DQ1f43Wtv2uf//ZutZqplyw7IFVZXporRwGc/afxWtCy3vh8ymvlZOxtd727SvJmTloXhd888piGiaMNQV/rlnS6junjuRhsH231BB0N/Rm4hvP9NwmF2B3IDvIOqpOpPqtEtD30ac7Srq2/7B4PSXZfMfumA3dnkMUKMd3+FpR7aBbAXbRfRIG6+t4grQvHBKg5manQdGkqUglysJZkrDx4nLdLtitBpcd7VtwriQBQCAsinySxK+JfSwb8DYe2mfxirZ9GL+hL4JfQ9YDpQXPsS/pISqeuuJ4qRA5CGyGquqSb9gm3gMF7VLhJ4f6Q/vffhdz+zrTafx9abTOPNuR9k8tH5jVoeORpiQI3SpvX+NhKMoY6P3jCxniNvTvh5LMrUJ9+KF5fyZlJpBHRcIAM6KLI+q1az8d/MuShWMkDz/k3McAOASKYw1WQ1k8/IcR0Y6lmG44xe8gcWKY4NqLCSscM2KRkI9VMq+fZYmpkycLdu76v02f9W1L7t8ZlINbcc9/pb3jKvW4t3T+tthV+6papeBamnQDNCg1E7Wj1YycfrkF1iqehg1K2njfAWiBsJxiSvVUSOftm3KhZCIHvb1CAeb18z8ElvuXfgKBeWES3jcw17DUwig2Wqez+nAA1WKiZ6T+8g6kYZvQqagsSC+bOUbesM3L7XaIN++H4p0OA8vVZWHC09BBQA62Heiie2I+//VR+SdhpWxsTkV83xPqwpsvo/kUOvM0Her8Z3UDCyVcTQnNj7cTKJbhqwgqAshUN+Ws3TrRBq62zegKG6pysMTrVo5o+HCikaGO352/+074/MMTKf0UdOyhCQ3lLFuW1Xr5EvtwNrPsUbV9Xrhb6jImp95tjpfhcpvR/XTrDi0O/XzJERkl8aKA8rOqRaFTsYHIV9gvOMbpvI/C/1E9rzvR3ud82W8GPKj+3/P+9Jm6gbF8rrVK4kC4eqVz2tCX0VL+0F855woev7rTae9dln4OvhiFayHO36GkEHnh2P32Ruy5+vZTmJJ6DsIQ3Z90zKyZL1xqx3PfFtq5CRAeo+VesYsO+ilSasSE8WYYw4091DqitccS/BhyGz8GDrOIz91rX2iYemctBbyTMCFFY14riOzoE1YkU7D6pXx739yZn00HdXzo22mxlCprqy2C0oGtoFESZtmMdc+7q3uD9u3G1qOch9Q924IggAQ8TRyZZW2Kcekun4nZ4fQnrO3vM6x9q1WKsYm2mXacOQIV76OHo1Cy9gYKH71CaDoKRCwjgxq0xOSc5/a2rJdLND0QSn0duWvF1xY0QG5l0rJRiFCSMVDtt2y1/gS6aNOXxE6RlV6FxtCR+FNxwLJ83Rbl7V37LWhL6lSVw6z/4zhjl80leX7FH5zvkm1BAdkb6ecEfqpT37i7ZZyFBWL61gX+iKw9TOqMn0Z7PCPZxRoAi0E2ZGJZaFjqa9XK7DeTlG3O8gzbgptrx9pX4a/Ql9GAR+vtJ79ZO6W017nxPuWGm+r+g/rWt9z36WcVYfljVo92+5Q6W/lYdt2bHKORC3hlOh5mvFsuH05/gp9GYWQqKps1+O0IQtPHByMmL9eUJXekwds6nbUeTYrTFDvFyXKx5u3p88orlnJZbA+z69Cp6q6voLNW21cwyZu2KdEGdsVDHL84XVMbef0tFlRex/K2+Ix0rGM+vrRId9JnlPcmixyxYLQd6Wv9/gyD/S5R4D04L1PQkX+Ssj3KGe7DKz6n0JN2bGSbwQWmtiOoJ5Nv7havn1g0XYKmwiPF+JtxzyPw3S9/aWQH1DBdgmDfIRNT2HFNyuxviq3NOSbXo1PIdq+orVHfRbysdf/zy7wnpjJ3cYGNnW2VrNCP0Yp4Rq+lBhPvbQfEuW+GrIUFWyX8JzKSZGrP9QRTqLU7f2IPvGj3zW0wn5T+xHFa6TyKiqoE7IAoLf9T6//PZ3nsXr51RMurKgkH+7iTNhTqG3Lse14yr5W8vrAzUb16VTe67rKeRYQktypPLcpJ6ako+fnysG6Qjycq10wMI6Skh3AV5tO4+M/cwzVkjy2m4otH0jlJ+XJ1teJnJEo9bn2GiNes9pSRAvJeNsxl/Jqgo9D5LVQX2z0nkEr1a673dt2JzWdZlkoJ9dwDbNWFw6fPpTu69bWAzFBmHYYKYIEL4NLJWg/RlpttCrYLqGTzXsc2HrquuT1XTz8q0QL3jP+zp9t9opFdSlBfLyIEW5hZsh0nAl7Cg/b6JYeQ5GOBR5O7Hrb//K7xiWQiNnsvJr8Mc6EPYVlzvHuY9NDZkCsV7638hhVnWgpEq0unIMvvhosT+Xw0UvqhR+j4MKKSkY4lvsdixLMDVYIAMWRbShnhhxc7Z6q19NQ8Ku/T3s5upLCc2D+6m/tO4WUZro0H9qP/syxBVnkYTyXKfKaqI1xpLR1OpDM1hrxWgfBu59jDdWHL064giIKs8TJv3sP+kp94K2QhV7/U7lf97jGxqBF9E0hZxegRjj25RWHtPaRBdpHL7aDx3cJ9ckvc7z1+j6zKrYcD8irM7237+47fwsvLNnr/n/ib9IaiEfsOwBka1tyypKu92P2LbjfnhOjKEJEMHWl7/XFNr9zHTL8J6yd7VtQRvDfHTVrvfgylXbYXky/zQceN+qZebuY8tYT64ygFsbz4RUVxJ2w9bWvRiRyhBa5IFc0juDU4hrgMhljQWgr27/MuxTbtwHvF8XI9VE1WoFt/17HzjM528UziZ0pPwAI9dCsvORYijiRQUyK0iqupUVL/JVamcdRHNKzYl/utx3AX6HyPoSkdq/5aiKMQG6ID0EGml9eCFwQtydT21fr2k56PXM57ZdY35KzGfEMMxAlqAuXQLsMRGOcHI0ktLHtVbxOui7eZRQVEvBJyKeoKOQIMJ7exBOS1XskduG/3VtsvBLfQagmSjSt3Y1ah26eT63MXXWBID0jzMfiupcrDAAofuVvVe95oODCimrEB42JIfPwtceW0nlbzgAQHxB/Dn1Lc+nREoKOy8h3tsqtx3KIxxzxH7TE1shpx3LPQZvWDkAMpZS0BoJbT11Hry+2eQ2EGfAXVtQaHHay58zGRjqW42/ni9RpN6q4lpYR9uUA6OLWuOiX8T22hj1PdW1j4SgWhL7rZ18FeL8Tk1eI+yKRuruNJHyXAOoFCDmBYYJjLtpemAkk5LghKOtlYKuusMa2Y9TPXKxaUsJxakamISEO/MsX/9uTb0LfRXmbOq+wnq3yXXrpZN+Gx+xb8adztKo8acryRWwMa2/z1ipoGZ9oJzV/OV+VPS+15FVJ+A9Oos5/UcsP1rn/3hb2vF9Q2LZ7R1C/54HEUGFlypQpaNiwIaKiolCsWDF07twZx497S3GEEIwfPx4lSpRAeHg4WrdujcOHlWNKmIWcE7QmHrFLftkv7dinLIPjpBjhluhx18v2owGB5DwR+0jTGPRFIAU1hNOy1xipE5IeNLyPb/3Xf0YhtgwkJayIjWfSs1LlFqvRwADZGr1DF5RDMLjsNy4aZCfk6UjMF89nIeX1VWqHnVx8IE8BQkqo966HdL99yrHO71hRIQHR9xzTrTrMqu2SLltsjJHqv3dT6WburH6BaDQrdWxsyxueAr0RyAkbYmOYr3sKLeMTjd5K7Nn4at9PXxN3iFib4p5rnwNax7gWMFhY2bBhA4YPH45t27ZhzZo1yMjIQLt27ZCUlHPj33//fUybNg0zZszAzp07ERsbi7Zt2+L2bWu4afdFrcdWvR+3Un6eHmiN4EHbHr9jNP4QPg35FCucb/gd9xyEWT6cSi+k1Cx6oN1nS7BIRqI2Kyqe7DjHfNHjPe3rZdMVRoLkbLyOIL5L5r2Vx/DcIv9nFGjE7pkapPqUXF/zfHS7nc+JXuPpRVeL8fuBsMEAgJHf7sWSHcZ4WBVbopPqb75tEHPcBwAvOn5gqpPVfPf4UlvifZCE+P6r3EAtH32aZe5XHf7ehveHDfHJR8sDYPv6tFXpUsNoDBVWVq5ciQEDBqBGjRqoXbs25s6di3PnzmH37uybQAjB9OnT8cYbb6Br166oWbMm5s+fj7t372LxYp1jHOiEWsdScrYrepKGEAA6OPRRSN6FMhqq74v5oF1qLTvnwv3/GReUUaphQygiZosZx6oRVvpLeO3t47Nl0JdKNul17DZ2cYGE1gOxmXMmmnunpX6eaUIE8Y92YQ+jXdbv74RfxbVH+7PKK6aV+/ir0az44uuDycVIkY0BSvXwxpgeo5edWhvJ8UW/srRs4/V8blL3ehjFNmmptHL9Qu3E2pfOAYh8rYaA2qwkJGR/jAoVKgQAOH36NOLj49GuXTv3NU6nE61atcKWLVtE80hNTUViYqLXTyCxq+ywNp2nJEozgMSUDNVxL7zzl58J6O251bM1vvE3lFgVOho5g6h8vaTqTfNCi9mssG7jpcnD0zOlf1o6PnB8rqJGdNAY38m1zbPu0otz4i0sJ2IDA2RPfE5SeFal+XiwcoOwuV53iAhaUlX1nXE3t6tbQqf9gBvlsdlzvGF5p7II26essIgTuCcd6zArJGfnHKuwo7a/fRTymVvLJvUdKQjpFQi9vXabTcCEFUIIXnrpJbRo0QI1a9YEAMTHZxtjxcTEeF0bExPjPufLlClTkD9/fvdPXFycsRX3Qa20Gij1qeeLvlDCDoAGz10wYoi9AGKdmrbdLANUFdt/1EH6pMqhsdZXZ7NC354ygnx0WjXOvaSQigvEMhC9F/KF5rQA7TMXr183idmenO8OT/T86Er18RICjTAnjVgdJTW6Oo4vcnYtYs+MZTeOG50eh9plR99iIwRxjdTDdm0+iVx4Gyare1hd7Jvdmmypvia2hOTC1We0L6/nUWFlxIgROHDgAL799lu/c74u6Qkhkm7qx4wZg4SEBPfP+fPSkS+NwAn63RPqoHtrJdeuPf6+eVefOoqpPYtIbN32S0s5CMVCXjhSIvKePwTPLY1iiPk7APyFT7Fqiwk0UrYBvsiFE/CM3C2GnLCSD2yGsWVsV6D1SyFnPOtCizDkuTNJrv+IRW++m0ZraOqpWWEbjJPTM3Hyym0QQnDkYs7M3KnwXJUQW8ox6rPhrdlQR4bB9nFqqGxT3lgg16cyiPqAlTR4CplaulsRZI+3F256v++uviu13AnkjBFpGp+TtcxrAySsPP/88/jll1+wbt06lCpVyn08NjYWAPy0KFeuXPHTtrhwOp2Ijo72+gkkvtu89KIDpVdRKUO5soJy9Fs9qKuj+3Mg27W0Fp8fvnSX8ZYbgxv4JvQ90XMhFJ5lx4f4RwueFPKVYjoBWdgZNkzyvNIHXe78045ViuUr8aSM52UXYgJVqJCJoh5C5uVEdVsnBYkPZL2JObY9cm3/2znKP09qTZ5+EAI8NG0jBn+zG4988rdu+Y4N8Y/X9YDPzpRbek1IPL5Ieixtqi6fJe29xDG4gcfsyt6yl+2VFmho6uFyR6EG3/627ri3NrW+gmbYZWM16rt9qp/57rBsI3Oty1d5ahmIEIIRI0Zg2bJlWLt2LcqVK+d1vly5coiNjcWaNTmDVFpaGjZs2IBmzZoZWTXTiJSYEXezi6vrfel4zzOjL41t2l04F4a4toS2k7MOcVJGgXoht6UyTNA2C65jUzZkZXVspmaw8F1+siNT8rm6GGBfhSu35e99AYktwJ7xqDxdoLvrwzjQyaUX82xLK6x4znTV+JiR48+j3lo7Iz76Xe3ewpDUVla1ePYbtfVm1Uyx4tq8UIviXQS8Y0H5jm35KLyQv/vHMdW+VjyvFgRg+V5vo/lHJMZzF54aYb2eOS1mRpYXw1BhZfjw4Vi4cCEWL16MqKgoxMfHIz4+HsnJ2R1DEASMGjUKkydPxk8//YRDhw5hwIABiIiIwFNPPWVk1UzBhiwcDhsoei7Tw4hTi3qVZqARU58D2RI4jQdFv22+OqF2h5UnNO3+IER/I1MpvAanABq4vfuHt7D6U+hY98xKCgEEz8zbJWuQTdOCdBGvyXLpjNgNRPvh9ByAv950WpMxeiuFqLg0g7xUfaXeQynto57yglxWYs9sm4hPIrWwOPLbflo5nId3WeKFhSADz1LsCgSAD1apC67YyiOyu5btx+3s4tuHJ91zppglY4QPAIPsdO0Sw2i/N2oxVFiZNWsWEhIS0Lp1axQvXtz98913OfErRo8ejVGjRmHYsGFo0KABLly4gNWrVyMqis2iXk/0ki/lNAiZHh35dor6oHc0H4BygrR3ycftm/2O+eboG1slp2x/AhetU7mcaJNiNyk9k3TIr5OruYO+notr2U4rpnE9t0sJbJqtG0liu7jkdjLRCCvGzNp9bZTU7kADgCH232TP08SNkvpwir2HgJG7cXJQK1zP3azcx9RA1S9ELqGtt5RXBzm7Ml9mqozrM8zxs6rr5fAUcF12KF9mPiKb5s2QRbqVbzbGWBXdg0ZlJggCxo8fj/HjxxtZlYCz//wtZGVpG3K1zJZq2U5DyfQjQkZYYjEKZNUgiKX/V2RpQYyawhmsR12m8j1RM9MrJ1zCaVJct7L96mLwmrHrvsuV8rCCmhoA0jL8NWP1bCdErpRmy6lrXv8rt53Aq+aUz81XWLHZRHayKWj6lIoqJVxTuEI9ze2H0S5zJ1ZnNfQ6ztpDPP0yMe3MEwlgqJZGNnVaC7V4RkT3ctHAeBdLyezq8wxyK9LVVHMzKQ0frs65T3cIW8TlYILHBqJAq4HSmqP0LrlZX5i2HupCKXXji44fJdOLBfKiXZ8VG+TUqDzFruw5W9lgDgBeCfmeuhy9WRr6tux55cFfwc9KgAzc5ITjt0PEve96IiasPCTjpMuzONe38qkvt3tdo3Tnmvi43afV5PkuOYo13TcmjC96PBctQ8oXItGyWfUtWtKL9Zc/QsdoLD9wdhFSDjNZa5CP0uaOdclOADDh18Netjc0WMvyRDtcWNGZkfZl7h0U1+54q5jlPl6d7NtR6J5jol8l4go1FLQb0QJAGYaYRHJ4qqj/uiegqRmEPNOvOXIZ32w9g2t31Bs/zvew1p+nSkUtV1fpc1IRuF0oCStyY1cv+1r86nxTNr0vX/2tLoilXP0cyMCPoeOo8km7Z7Oy4cRVquuLC9fxouMHVBay3Q58tEadFgbwd4ZFO6Hw1ayIfUDecOQe1bknYsb9nvettYItjhw2iqUvOYoquDAoJOK0zYV4xOQcHrNlOxhNTMlw71zzlFsiJXys0KLk48UzNMbP+6RjximRnJ6Jkz4a50BMaI7FJ+KjNSeQlKrePEFPuLBCgZoP70shP3gZNal5hfeEDQUAvPXzYdHZ6vdO+Zm8EnIeUVnw/OgNnC8/K1VKP/ibXRj7s7ZAluN+OYxDFxKw//wtjJdwha5Uvi++wczUoGRnIFfuuxRbo315RyKCsRb62degvu0fqmtd8aj6z1FeMgKyI8y+4FiG1c7XAAAf/+VfjlJP1bpk4a9Z8S6phnAacTZ5oUsXzYpO0101+bzu8Pdx5Zl8tojmxoVYi7XFq/Ep/14FxLRGnkwNmQUAuCDi4Gyg4w/ZtJ+EznC7KBh0b3z6eV+OIbPYfVGDkvPG5c6xAIA/j8o7gVTi07X/+D3vQAgrHab/jY//+gfTNEwq9IQLKwZQzZatphMgiAodNLi25bG4zgeA1HS68sUGf9pxUNTAVsUgqudWz6t3UhGv2u+HNKUVvMzK56tdWDGbSgJ99O6k1AzVWzpZ8X1mtMWHCz7aTo+M7Mik8j5rXeRvgliEXpalXj1R8t/U8J49i1h1qwjKjkFdQurBexHJT1/N2QbMGi2aVmA4f+MuUzmejgddhGp0vaCFgxTR3I2ECys0aHxP1x2/wjTbXbjtLKq+tVJz+hlr/8H3u+k+OiyDEWv4edaB0NersNrv5lchHzKVL1W2smbFuqh5Jp+uPYln5rG5JWeFtraLQqfgefsy9/85z4BgbejL+DJ0ms41k0K8xm0oNXnunSEe2cwI+VQ2DWtgOyNYdVh6h6InYsFE9UJpOVcJWlf/rOKeIAhI9Zj81hFO4gXHT8rlSgyIBWTiComWr+pq/eHCigG4HuqaI2w2Im8uP8SU/sPV3mo7uS2VLNoR8bT0ryarsFJb8J0ZqcuvjX2fR0o9Z5DBoVnJ52TfFLjuOJ29Ci1qtVJq+tvLIf5eoJ1IvxeCQBm9VO9ida5pO6M5PyW/GF4BJO+VTf+OG9NXaY1F9YiTZRSBqpsAeAXrHBOymC6dhGVvB5Vxj0z2AciFFRrM+KSwfDTFOtWbjgWGbKkEgFmh05nS0/iQCAO9PwyWFYnP1nkLPizvp1bfGJlSDiEMQmwwo9s6bBxKRo96fzzV5KeHsLJg61k0eOdPDPTQSLWnDLmhFbEWBnI3DgsFhMB6b1UDodWsiNxqNXffL4YeZT+UEuTV9mM9bJRY4MJKLkSsbw5SMEKTyInqKlYhiOZDIRc7yc9+gak2+qHVZuWfK+rUs2ZglODr4jH7Ftnzeg2bZvWV5fsu4npSGv46lqPNkTNwlYJV2GAyNbKIskOL4Krnc88kgfmM+s4paDdMSGlW1N4DrlkJArJfaIKe9nW0KXQqM3B4vvAuVeO2f9W5s/ZE3YxB+Ro5l/y+y1t63ju1A6Hnx0OrzUpWgE0LAm0cqweuGq85chlbTl1z/19WuISn7H9R57Ng61nVWzKD7275Q0i28f7C7dkxnlzbe6XwfA/+u5mMa3dSsUOlu3tfUjPYA5gCGoUVFUl8beJ8oVkGYrXry87DG9om2CWFFZWaFZOFFUM92OYWCAgetW3F+yFfml0VKrR0quoegekemrYBZ97tqDoOhosTl297DQY1hDOy15ttoGtU3sqPQUo9G5jPodWiqnpCO2sc/E32VtTP+9QHAKx3vqyqnBnrTvr5Q1Ksm4Xum5qPrm+4j0/++gfnbySjlnAKn4TOoM5n2poTfsEbtTBLpet6sxjhWI6pGT0lz9MY/3az/w2gLFM9NAsLOnVXvgwUBHy58TTuo4i14kLqA9fSI6iV1Sgt6Ocw7vyNuzh+OWcpo6xMTCKA/V1qYTsomldxXMdDNvFAYGJ5lBf8HTYp7RRoasvxCbPiwCXcTMrZSqh1GYj2A9TWtguxYN9qm8y4Pd4XpWjPNKgVCP44dElzWeuOX9HNZiW/RJRqvbkk4m9ECV87oM2nsvtOeUH53vmG4zjwX/YzdiADHW3qA97tPnsTX25U58RQCqOFx6Y2eZ9NNJqVWoJ/W51IU2XkatNosyLl5j/YNCtcWFFg+7/XMWfzaebZe33hOGaEym8t9CTQquZ4UkjX/DxVxEpRlWmiLst5yBzu+MXrf5dmYmvY8/gqdKpi3gCwMHQK1jpf8Ts+zCdvX74NneSOuTR88R4MX7zHfY7Fgy0NX4ZOwxbnSMZcgM6fyS8BiJFIIiXPrXD+j6U6ANT3fxbPoIKOc8YloRN1ykme5xZl9zOt44TadP9ziO88GWr/FZ+FfqK6/G6ztiApTZuQfNLHpkubzQp9GiVhhH43kHeZ/3MsUmX7pXUZKEXC15ZRTkKNggsrCuw9fwuAuhdCrAuwOh4ymnVZdXTLy1czoOyNVBmrbPMVIz/EdyoYrVkB2N2cA/5hIWg4S4pJnosVbrJUB4CxfjV8EQS1u4GkqWZTdlAWjDS3i3uV7mjfLnrcSP65HBjtlQslDQSNnxWx/tXFvklVPbTuBpLCuiOqOFxYoSS4ZFD1dLRtxx+hr7mXQh7++G/NeU1c4as2DQ5/I1qxC+IzRCUDW4eQhd9Dx6D4vaWc2ynpeHzGJny+IfCCbfdZW7y8JSs9EyNV72FIxashSw3L3xcB+mxdVjLEBIDVoa9SXWc0hBBdYr3Q3jclA16txAmXEabFi6uKIUepr9NuXf52h7cgGy2oW8oTCzXAgtoJwf57E3ez4MKKAoL7d+CcnAFsOzS0fEYq2C6hmu08pt2LwXH0knTgMCXOXvd2Kx1ot/OB3twiJZTQtKu67SzeCFkIAPhm61ns/y8BKw5qt7/Qyq6zN/GLiqUUI4WV7vaNhuUthVqPE2IobbcGgMq2C+hs36yqNDnUjBO+z8zTwZhWaJZwAagy4FXCU8Ew2fG1pjzUDBFKyyU0y0BGvC+B1qwkpvBAhpYm0HN+V8AtLd5vPaN7asV3x4CLcMow6GLoEZQuBHTr26uPXMbNu+bPXAH6JZqYsOy2pWqMI6UXafcCEtqQhYfsexSuNg4H5bPWC0EQVO1Ik3qqvkaoUoRZQLOy6rA+BvVFVLiqLyVIezk+nFWGOp/zN3I0DPkoIyazaLOUhBFad/tmEp/gf5+stKuNBuvfZYvAarNCy0uO77N/L/UO116cYtfHcudYRIEtWJYUP4RO0JxWafZFc7+UIqO6dqAs3n5Oc9RmrUj3Dbo+4xo0pPwhGEVFm7gmpZ99NYoI8po1I5fuaAZ/vQdaNbnFCmz+RfQUxrQ+BTWG4HIUEui1M5ucL2gux5NJv6uPtzb2nvZSC0p3h6YvstxjB8Q1Gmregabv+vse4sIKB/VtJzT7DnlcQkUcRxn9N7+KwYOWcKSghocfFjFo1cFa00YL8kKYHkadekPtbv+eKt/srYEuelE4P4wW7t7T5Ont9j4L9W3Koej1FJbUGtjWUuHGQH/E61lEh+3iZlJA5bjlsq+ifW6+S4tqls+yYIMNWWggHBPV0NAI1yxBJEMkhBU1EALsOXfTq92FFSYkVoMLKwq4nq2awayokICn7Gt9c6JKK/WBy4CdsnQBB3QO5b04dLLiNSMdyyTP6bEbyMpI9Q21H1QpfwiBwlXbqhQ7WhaGTsFy51i0pfRjQ8vT9lXoTGH7oTd6CD+0ebDMaH3HB9f4tCvsOcW0Vlh+kqKkoM5f0Kgl+4ypiAQj7Mvxg/NtzAqZ7neOxlD1KYfv94CeCiL+nwD1/ajrzC34ZX9OXuNDvtFcJzPgwgolagezHvYNmsqRksDVrIuu1zkCbl2bsi1Mf/tqyXM2QWkZKLh3A0lBq1lxXSUVw0M32r6te5ZqI7cq0ctPyBcnoMtAhSvqWhYLLBrM3PSerTws72hSCbV3or9jFQDvCO0ujI66XM/2D92FDQYqXiJrRB9zH2WNzIELK5QEatIrNaCUoVwGYt0Jo3VAYylWa3Rio2ExKgY0xBUyehtTc3mbgbeWH2IuwtOjb7CguAxUqb3o4W62jfg65ANEItvgk/Z5swgNLO9KlJCMTratmtPnVZQFY2O/DmK525GJ1nZvu0bENVbMyzNwph+9tNv1BAIurFgMqZmTnlv/Ao3yAGtNYeVp+0qm9IFYFmDhLnEy5+Fb929DJzHnGWgUPdjW7Cp6eGro53jQvheDHSsABEbo9u1TauNIiXnRDm6Ni8bJlcpkVjNGFV9+JUDTEQy5WquNvnBhhRL2F9raHcFMFoROkTz3ouMHDLH/qpgH9dPp/Dkwci/VpfkFcc+0vgy0/yF6XK2wEmj/MJuzaga2QBaeV9pKTfCWY4H4qf/J+4+R1awUqQKUaiCbPj+SYEOWuA1A46EiNaUcCzq863eIxVDTCkwPmYGqwjnd8tMyqh6LT3Tbboy0i9jadZnt9W8r+wG/3XGtbPsxNWQWHrFtw9R7vqnclH9AsQ5iccikEOuboi4mSBbQ7h2qPI1y0mckPOqyAq6ZC60PhbyK3ACs9NGW2v5YHNfxgozhrncZlNhDgELlaa+moq/jT7yV8YzfcbU2K3rhWpYQpfaTwP5vDSnXUApXkD3dWDiGgQ5xoRGh0nGMcpC4GwXiKNLKDP71BwDbP6fKww9ntN8hP81rUD1EoLN9Cx627UCVVPOMO7vci4VVBAl4KeQH75NFq1H1l/mh7wFwRVP2wR6imH4RxaYFF9QTZUKotxSKauqtsh1RAq5ZoaSg2Ad1zAXdjRbpP7qhupbLSmHhtuQ5mo92UfhvPY6gdPgUUCo/LHpYLGo1vWZFX2Rn3w8wBBlsMtzvEIvBZzbaWp99v3PSRitpwUbskjwlgF3vKbkNtFg1ILaWtkxFPh7US01Pfge8yhC2YfA64CVvfyZS/j7U4hS889EjSrcaXFHGRR3FFSgN5t4gKH9Wi6vw1UO/vBhkkqtKuLCigGs1u61dZI3QmU/RaFF9eZQdLlN8G6JLw7Haw1q+EOj307Msd1UQLmjOc2fYcBTFLc1lG/GaqhmyNjpfRE8f/yS0g0zzjB0qSlJGdueYjUGZGl3C71BXlcHYfHE5QVTL6JClXstvin0srIDkKUEQpIWusPyKdZEsu2C57N/RJb0Os/RVf5sVIFRM61u8NhBZhDJPEUrW83vearQBtEQiGbsptl0bgagiQRDYNQwCrZsJyuxU+mtiKcmXfAY5GdUCF1YUyMiU2Er8+CzR41Zh/tYz7r9r2f4NSJntJHxu0L5sdWm36AUIUb8UMgPZcPvP3pcaIUJV6ah4ifxWSpaBWP/2jHQsV75okL/3TQB4xaEi2KHMc8vIkrljDQeLHqYaxF1l2rw/XqqeQHtvey4xrVlhscmIASr9xrZjuudZTmCLg6X7OybYwKxZsZn0WSX62zOVFdi2iOsJF1YUmLpG3JsmKelhdFftUYqcAqOic2lWUtIVOq5NeV1VLawDh5VWTEORjn6ONf4nbNKzJt/2G9KeIpW0pStWPfu3x0dM9Q6HAFgAi9ZJwsBV3e4b6baev5EsHePGIb5j6lDYIPoyKZYFJPF53lJO4STLNouWrwakGAfDMqTovRNsbM8L0F2zQr3USmErIwu3WckDsHZuA/jvpnXUd/RCjHXWXCXDG5SsT52HaMiF4nUkrze09d1c0WmtpVnxRV0MLhUfKoWBuI1NYocYi4Am6CCsEF8BmLLNZo9JLV4CyjQ3vJhCRriMZ/1o1+mtTz3uQVWbuMZAjXtb7MMLai/skQ+1pzUY631lgwaPLiQyMNSxaTNu00utKbF6pUgFG4taVrzutDNgliGinX0XIpGM1x2LUUtgMCxUQrABFR6ku9T3QINngGe1eTbOQfleit7HYtXunbT27Kmiii2dgXEmSHO/pa4RXwZS6SrQ6z/qNpv9nEMjgJ7SO3762leju0Yv34rki6W6TPQWZaaDWSsVWZgtvQ8lhWt+x/x6wcDVQEhY9t+ahSUBaOS97FlCZRgEI+HCChUiA4QgL6xoRew1qS0ou7t30dJ+AACQZbTKXmSHg9QrHgjPnqMcyzDK8SOGOn7DL863pC+8oUMQumT/nUtiqNkpcylBZruxJwXK+B2qQ9M/3P2VYSAOwDKQTaAvQ5WwovXjrYtmhWFZwKd8X5sVaadwVhBKpeswMWQePgyZzew3Rs2YQRO5Hv+sAoqwhlfQ996LLUfLlqC1r4uk+yL0I215GYChwsrGjRvx6KOPokSJEhAEAcuXL/c6TwjB+PHjUaJECYSHh6N169Y4fDg43HULngKKgrDSzbYRLWx0rszFogtLrqc/s8rvUCyyt8R5um4Xt01g/PD0+9nvkJQ2yc8JVPnWwOv+wfJYtUpVBOUAfEhlVBsTAqTTCRZ+d13GAC4plXJbaIHSfocGO36jSwt4DUjt7bvwmG0zBtt/ozR0FH8+ve1/op6gHCmZmT4/ev3rKdhIDs/PbpQ4QbvDguVjKq5ZUYePZoVWmFPxwWpnl97W7cvUkJnU19LA+lkXFVglxuN8gvd7KymHFioPhND45pFAsAEPv689PTM5d3V3lkYbNwtiqLCSlJSE2rVrY8YMcVfx77//PqZNm4YZM2Zg586diI2NRdu2bXH7trTPDjNQ/ohKv3IVhf8wNfRzPOAbx0EPSjfRnpbVcjyikN8h0e3dAHo51nsf6PIFEObv8IoVKoPR8ALsBVFq0vw0Kwd/EL9QDSIjbEf7Dq9t4/L91fsefRL6Gd4IWYx1zpfly63QRnJ0nxQyB8uc4+XT60G4f59TxLV92KfdnWzbvP4XpIQAivdEstcx26wIijYrhEiIXRKGwb44kYb2KoSVbvZNqELrgTYkXPESNdOTMKTSXVijC9VlsvJcuZZ0ZYmRr5jopCJgePQ3dUb0VtDGSWOosPLwww/jnXfeQdeu/rE1CCGYPn063njjDXTt2hU1a9bE/PnzcffuXSxevNjIaukD5TJQrEC3ZCBblIprqTsntbAiMpwM3UxdH+o8QdnOYjWAoeK+Pag0MxR+MwC5+0gUPz7ZHxTiL6ykiXvq1YMY2n6mVUXcfQ6sZABNjVtg8G53Jdt/lBmweUXJ/uXdX8SXr6TK8T4eJuJTRfSJUnntBUI1OHorTmvHEBqhOm/Z7ES9iIvct7YTJLecK1J/QPZvLe9J3T7AE4uy/dMYvGQqm7tH3TUts1Vsqz5NADDNZuX06dOIj49Hu3bt3MecTidatWqFLVuk4xakpqYiMTHR68doFLutzMcr0EHCXOVlEf9j3hfSPfpZIdP9D8bSx5SJE/HsKvUiU92rSg8BseKhzFvaDyqnpxxEJIUVQmQ7hA1Z+CN0DM6E9cYPTjXejQWm8a2jbbv2xDSEFzR/h4km6Gx1CJF53pqLFl8GeitkoZ+GZGGImMM14lf+GudonAl7yvMKJrSkN2v+PdBBGVjUHgJU66R4meiOP/s9jZSWvv74Z1TlqokLpI2cJ1TXdhKNhaMy14qgYnwPJKaNPvHx2c5mYmJivI7HxMS4z4kxZcoU5M+f3/0TF0cXu8NQZKTwEKWZS2fluCGqvEncU2cTpUG273Kq/B6271RRuj8vOn4UOcogrOjsw0BvygiXUdUmYTtTrhV7AeXF8+jtEHec5gfLLhHXrDMYUWj35qwa4ieoloEUjFxF+mxxeLtbb2EXsdUT7KB5+2WviCymmD5YoIoT5grkR7FtepTo2KQRX79VFaV3DI5xfMtcnBoD2xmhH9Nl6u7r1lwOMn2qJPjcWEKI3zFPxowZg4SEBPfP+fMURpWMiGsmBPG/fVDcsVCzm9+hkrhKWzVJElMUhKTyrai3+AUKG7LQ1rYL7W0yApIVZvdaNWnOKMlTlxMp4yAp2CIURCKGyBrcyg9EsiEPWPw3mIXELijfAHTpUjFdWWy7XP1ExMDWs59UFCSWpGx2Wc1Oyr0YN7IoPDPVjgGhr7aY9bPol97lB4nCQZrsuM66jENpM6QHaZV9tTnyd1V6l6K1l3lNG/ljY7M/lL5alCtXrvhpWzxxOp2Ijo72+jEHOpsVxe2rIoLOz3JbbxVQ9fLX6Ky5HFpENUsSA0Efx5/4MnQaZod+hHy4y7R8ZRwEUndZ8d7LfPh6f6XPMs7MkE/wguMn6QsUNAxfhVrXKZQ2xG1WSgnXvHapSd4Vn7g+WopGiXqyl/3pHC1+onAFyH1APvrzhLIG1QACvbQtB0tdZNMa4LqeitJNRQ+rChhaXD5wZje7xA45V5vN9tEjgWkjf7ly5RAbG4s1a3L2kKelpWHDhg1o1qyZWdUSRfGFYLJZ8e8YRXy8MqrrOiqM99pOFD1cHNfxmG0z7FCYudXrp1gbh2ge4vWp6+EvJFzK8p91EHEN7vX6y18md1Lr8w7AANjUfkThCvneVNuIOFJxDLvWPNEyiMr4l+lk36qcntnnBoBaT/gdclWrlJSnZAAoUVd2hj938xlsOMGmhdWiWTGc189ne1ItrHzv/d43mfvle0a87S7Nisp3NUvM+FecylIuFtq+nW2gK4JvLCrP3WtCls+EsKp8+JfqwlnxEyYIvmowVFi5c+cO9u3bh3379gHINqrdt28fzp07B0EQMGrUKEyePBk//fQTDh06hAEDBiAiIgJPPfWUfMZWgHI30F2EKeSj7yNQNdNwhIoe3uAchU9CP0N/+2r59KH5FIsQHRAkXgrPayWH0IL+TtHUca/sKo8oXCUziMt8NCtJRJ4GAMRYwHDNjFnTQH9/QIFDXLMCACMcP8PVH0TfG+ZlUpeBrdg7nl3eJucohTyk3+e0jCy88ROd/yY9MbwHhUVne1LNr2yP6P+e0o9/os+8aOXs36xxdmQoY5MQUBs9K+n9NgrSvp1CTvoYHmt+x60trDDEi1dm165deOCBB9z/v/TSSwCA/v37Y968eRg9ejSSk5MxbNgw3Lx5E40bN8bq1asRFSW9tm8Gykp/6c5xjShsldUaobP5C6KHZeYK4rT+H7DeeydCqJCtDWlhU9hdQ+HsSvfuryBkKOISlCq3156HjJFveTnnavfL+zKR9kZ6j156bOk3aSbdYz7wvbw2iw2Je6cwcNuRhUzYjVlOkCmbujzW2a4Bwqm+NitseanRrPinFaHuPW0x5dZvXZGzfRSy6AdTZm/NFtS2wWDNSuvWrUEI8fuZN28egGzj2vHjx+PSpUtISUnBhg0bULOmBWafNFBqVvSIXyKag1PcVud5x3JEQ4U/Dxm/IyzLXwVwG6tDX0VH+w6Rs3T3pLKo4aFOLxLLCy0jpMlqZBT8ThyPV3CGWLWj/HkazFqPrtEZGC/hidlQ5Lcuu5YpW4k5bWS+Vx7pK7SROqOAsbNds+1PfnKOY0rvfx/p2yN6pd3Q+btm1oW+7OUGguW5yfqQArjNSjAj1jFsXooVORuGwBtqUfsjYKXp85KnhjhWoLJNYklEchkoBwEEU0NEtnW7XqRO0+nqKFuKxvQyz5sl9z8OSW/Z1w3TDZRZYLBZkRiAXQbgokbJEv58qJERaqk/NhUeBGwMH1Az3L5T2LLRoXyPWDQr8kVba0nEIWRhrGOBsYXkZc1KbsY7NpCculeHssQOygyELk+PD9j24sfQcfJLEzJ1VzS+iywieUrev4z4QOBafnIRLqRJZ9HgabmaMSPfdoZ7ZjpWr586JLf9upHXrPwc+hYetImHiaDdfip5R+3iNmEAEAaZvu1JeAFgjIwdlBISfnlcaJmhK6Z57FPVeYpCITD414VxGciFCoNZ3XC1N7Ko6GmnqAdfcT539NFevkXhwgoF4i+nTluXJXAqDWay2pxs5oZ+gPq2f/BWyEK5jCTPiO/k0YGo4trTsqooWV/I6l1k63CMmBgThAaLqni18rmYh2VPFDQrFWyX8HXoVKnEmusFAGjyXM7fPv3uCft6+nxCFIz0TSK/muVmTdA4xPN5RqpsVmSubfQsdT5WJFPLpz3/vW36ldrJX2cSXFjRAwnBQUCW5uHOM6aD2tmPqqUnWYd26n3EUEExY2X3ZiuVnkFYuf8Vxa2st4ly8DZN6OY91jhhpShuGpa3FAUFpaCn8poV+aSM90rGi6rk1nwNVLSpc98ejhS0sB1EJJI1eQxyndUUd0YNBmtWZCkj7u/EWO7VPcugSaIcz23NCTwZXUL0kuYVxXcqBQourMgg63CJYiB70r5Os2ZF8WMtUzdVRr1qve86DPoY+0C1sCazdbqdTSKSLOXMS/T+u9SzMRKu2Y1EL1sTAzUrO8OGG5a3FK7nJNkqBc2KnnXwQ8bWRC/D1lCkY2HoFFVpjoY9g4WhU/BN6LviFyhOJmS2e+sJlZ8VH/TSrJiB6x2nGF/U1d37LolqzPMph2UQTF5C5sKKDPL93nMZSPwhdvQJQ6+GasJZ5aUgCfR6Ce2CiKDV7Std8taM572OkvaD0U/SRwzLvbmXVsKZHmDBAdBsus9lS99M2oibChmncIYTXsDwIqhsX9qKB9Ssb/tHeYnbTB4aL3JQSZMi/f5V8LHdU2zlQxOUrsih9pP010rhEhK7fiF7WSyuo5hcWAx4L485kAkn0u45oyPi9oQy9odOpKGKcM50mxYurFCgHBtIejlCq2blB+fbWBL6jvKF+f1tJFQNNTKxQ0TVvDKdWk9YP/qigeFYy3dt85ZwphccBPhDRLGjpplNxrGZhPtxXxrZjslfoEmzYqQ2Rh/SQRHYM590+BJRFO6V66zhxuThBfzGpwF2BQeDMsPG7NCPUM3De6viGFO4gkIFPchfiv5aMTxDMkSXAEo1Er3MiTRsC3ser4R8L5ud57MpKNzB96ETsNr5GtrbdiJL6bPv8/wXhE7BKufraJa8Vj6dwXBhRQbqz6XEyy2AMPlZqWs76c5Hkj4/iJZLTbXHJU+JqgvTpT0pUiHhzI4eZY2WLIqzA4llBUc4cF8P2ZSeLrAtS8D9SCg/o8dsWyizks6ro127FlNLed7Q2Fd556X4jlJ4b6VHrh0KmhWRnSlCoJaBRBho/8OnLr7I16mVzdOfjnY/UrpzcY/3/xIa7CLQ5quolu00AKCHfYPyc/OxmWlkOw4AaJP0u6ay9YILKzLIBwlT9mArSJ5Rh7hztHsUreJ36AHbXvrMZT5eolohVjfUCh98RZhtD+RfVMmBuNtX2iO55mUM3n1USLiDYfblptdDkVTvnTM1bGfkr9dT5S7TdsXdVFZZEpIgSvCZPCnct9dDlkByQuKLrAG/D3ovkTCGFZGvjZI9pAkGvhRwYYUC5WUg8dvY1H4k202yFJTrnEoqP1/K2S4rX0SB6DKQnTX0Od3gJ/3RVxYSZfHxJEpdvtkfu+rSGrBcDcVHYHTI0gBUhJH/vD0517CdlbjQAGQ0BM3EAl8qLgNlP5OA+BSq01tlAuX+4gqYqjixKF5b13KDhkhlY1sz4MKKDK7u19G+Xf5CrerCx2ZoSwcgEC+HqGaF0lGWJRm+Q9GGwlj3fnQ0tYnY25RvrZhuomOO/pXxpec3xpchSaCfDq1gbQS0u9aMQH6ptaBwBxWEC5gc8rV/Ut28197DR0jXY6k1WsiOYOxaGnHzuk805GgGf1AiVBfO4C1GL7RFBNplIPGeQSCgpHBdPqlCWBCzsGYgBIvgmtR9GDJb5Cyd7YSsga1F41C4ENWssBqSeVKgNHDrnLo0nve69hPAn+Pp04osmfllL/WRKFaNvhxGvg2dpCldX8efOtfkHp5G3A79HZQZJgZWe9SonNUTmg9IU+FETbVGQQadtYLjHfORhDAUEJL8T0p4X9WOyrpTaOLsyEQU7vqfCBOPt6YXvzv/x5zHB6LfInW0sh9gzsMMuGZFK5SBDEOM8gIbAESFlYhCjLl6DCZDNkheJT2+epyQiU3Eip/QUqgcW4blH8j5m8WDrxk86/GcDDA6lFfHM/jF6SK/BVQ5Ux0/8uXk3d770Wo01WV0NlIq26HQ7hAhU1xQ0VKWyrpEQ6pcF3Reb+16j8sB2tYrGW/NB+uH/VAPF1ZkILRLLTID+LxQgwKJBcA5m5Zt1yVxlf5iVsHHAM2UopMxrTij9M4xcHg+Jz0jEdNAaSOVQkS2kwdIna27UXWphorG3DG4QZ+f6mfmcX24yndUd9suH2FFSEYhJEpfTik05PM1zFWBQzTumZirgwKayxCjKPUSEBAWosI4OEjgwooM9MIy4wtao6v6NCxrwwNWUF3m0CCstLGr2Ikki8TN1zoYdhaJ4CyWvfu3kTOlIJ71sGpW1D6/ig9SXbYk8wHli1h4comx+XtCcY9b2/crXuORocryPf7uOV9d2gD0bXmfOnTvbU3hjObyC0IkxIPYzqFuIjY9DFSz0S+Zd6uv43K9ReDCigx/Hb1CdyHr+1m8lvo0LLPGsi2oLjPTbwjdbiAVUDgnc1FOuISJIdo8ryq6fff92wM7MvGGQy7opNHQ+AtROWT4Sfz+be/p2IA+9jXi6WWii3uSAsYt9aJ41LXKw7IOFJv5GkX77STR7h5djDLC5XtXqvfxoqp8Cjsv76Q6f1LUVp1ihllSuKb/MolYaIXC5fUtQwVFQvWPGl0oQ4XW3AC4sCLD8MV7lC8C2F9Qi4bmNiZQmUk7LCgHbAEE34dOQGMlj6jqK5DzZ+1eolf0sG/AYId5jpfa2nYrX8SsWRFP/45G4dAFi/NFeqT9KT2om0YRVH11mOMXFfmpfGYsSzl6LwMV8Pc3wuRDBOx9TZRy94tUxcRxfZ1UvCiR50NpFF0sM157fXSACyta0bUjWlNY0RoqAAAiIbUmzNhWrYMh5YD9P8ciFBFk1sT14P5XRA+XEK4ZW64CVGvirB++LIYZn9qgm768wLgLQk3fYxofjLX7UE2fHwNXli9qw3t43vdRB6Uv01idbETaSKmtDhhqHLv19veCbkW4sGIFitdRdz2zYzY6tAw7LvXqU451jGXrvAxEmW6AQyoAIiOegxmrF2BTMdHeRibGDdVyiEyUbipUbYX2qY+a3UAqhKKA+JdR4yQsIM4Ts8sQN7T1uO8F/OOm5VylvZ4NabWuFtWY+xEkxv9cWFFEqsN5HtfQ8T1nqJReVd08T6GuNwnD3c1r1qyIpBMJAslCqOgugXs0eMazMqKXSLaMdQuunqi9/yquF40G60m+YsAjH4qeMmQZyLfu7aVU6yL4VqfhIBXl6m33EcBloAAiuqMnAAJCSWoNKFtdiB6RnHMRXFhRYEGIxADF+lLYPbZaqh0cCugZ5EwaQwQPyvvW075e54JF7nFUrK4lFBNu4XnHT/4nilSmNhQVpUgl7Wl1R62wQj/EHHUOUL5IQrCnWrJU+575Gk2yGLWb6QCSVfgIpPBSkNGfUQCW1N8IWUx3IeM3Qiikv4GuaI2CRAPEhRUF7rfLhK93ExwPWxLJSMhGtIsuz+GSBoQ6alYe+UBbXoCo4R8AtLRLr5PL1gUyd8Z3ZwnrNtqHJmhPq1qwpg/I5pCLo6VQvu6alYJlgTZvUV0qLtQHZkwwximcr2CtIn2W8U4wZVtMWX5gnKap6APPbhQ5GBwarkDBhRXNeHREC0qmoZAwZIwo7H+s/gDRS4tqMDQlEDAr5CPpC7IUVP0UJWhD5MVn8UrbTI33XMZBx1crU6YZW34l6zEkVtGWev0MdxKWc1Tnd/CF/UD+kvrmSQvlPXvF8Z2u+bkR24ZLC/EROA3weCwL5fhiqRE7upR40EQuq3jBhRWtRHhYqWsRVnot0q8uItxvU7PzQd+34mH7TumTrDMvrQOp2IAdqIHUt2yJcgNmVqmmv/oG21Tz4ctkFUxFSBVxyAXAZqJPIFFavOh/TGJS4A/dPR7h+Bl0n12V/aXbV97/F61Kn5Y5HIcyklqRsAJA1Y6Gl08N7XvWUnx3oBHSivi9s9i7IwEXVrQQcx9g87h1vrMJGio+pF99RIgTJBz4pIkE8NLxox0j3JS/gFWzoutM3aSpiyAAYfnNKVsGUe2En42ImiUBA4QVCah8xBiE6H0T24kSU5MyR50/Hmrf77LNvf9XY2/jV5Zqr27UVxb3DTnw6inqnS1ZAfn0UbZFSsMbJIbOgYILK1rw7UNFK5tSDTnGh3wjfiJDxIJeR2Hlecdy+QsiVPpN0AtRzUqABoO4RvrmZ+YgpqZsI4QVCf8R1W1nldMG8r6xaBD1XlaOLqFvfmpQe8/LNFe+5h7fOSd6H7B4FHtJJJ93gPqrBSdOYnBhRQ+qdzYs64JyQbu0IOajJZCDuGmCnYnLQG3G+h/zG5/MV8XqriI2QlihFQLavaN/2WrQom3VANWbG1Pd6GrIoHJs6fCuMdXwISBvG7XQqXMcNBna23f5H8ynwo+OiXBhRQt+4U506FQSDqt+Ch3HnrcnYsaVgfpol2oYmHKoCZCQFhopctC7EwXGXbwGWKJ7GyGsOKPprjO7r4lpgGjfs2B2GuirxVH7HMKUn6+qnTwFy6orX1dY3+kAjE8sxtQBhgsrmjDiwyLeMcvaLutbTPc5IkVTdgMDNUhUPLNKe1ozl4EoylEV2kDtrJ0l+muk7+4xk5eBmDRzBvl7FVVIiTwj2v7G6mnXTKp28v6/h/5xeFSNvi1fFT0ckDefVrMidV2gd1JZHH43rEIAPpzJQrj4+jXtS1G5PVsFWFTjJeoBpZswFG7iMpBY2T4DVHubiHpWCrX2EPd1p7qshY3GR4yKcgNoYGs5mHa90X+ODfcYrRbfcUyN40UVthMtbfvpLgwR1wwG5r5ZbxnIv+jALFfqARdWtPCgiA2CGkJFLNYDsOUvVPJpB0jDwGI4eJEyArYUUcVFDlK2u/UYtrLFp95e/30W+gl9fswGceLP4RH7Doq01twN5IfZvo9KNRA5SHnvmo1kK7t0U7b0FodAwDeh79FdXK61kVWRp3BFuuskuypL9GvKTzsXVtQxc+ZMlCtXDmFhYahfvz7+/vtvs6uE1IxMdLdvED/JqmFo+bL/MT+vkfpjt0l0/oBpGEz8gDhC/Y/Rzlxav85YuLJmRRUsrvtZyzbbzwoLBs1Uu9tFvI+KCZQ+5Z8Je0o8QxW7x/aFPet/kKW/xjXWnpYZuuejymbFbxkzm8khDEujtISEA51nUVxogGalwoPa01oU04WV7777DqNGjcIbb7yBvXv34v7778fDDz+Mc+fOmVqvpTvP48OQ2fQJilZjK5ClY8pEF/VCSjVNWzZrGHSzZrv39RA/ziKkVVQxGFBoVgxDVCvEUraKfiqqXcjLMLzjvrYgcsTcp72cpsO1pw0Qerw5sUr+oPQihCKeVPE6EidYNCu5z0eL6cLKtGnTMHDgQAwaNAjVqlXD9OnTERcXh1mzaCRS40hIlnBXL8UDKpYKxD7aLB/y5/fSFix+mLZj0wpFksWbpHKUioXD8kKrCjJGp1mpL5zQXh8pWr1GVTY1au6Z6NKbmZg8gLP0t8ZD6a4re7+kNoGK6o9rTxsgmtiOmV0FFVC8a/mKih/PhQIHC6YKK2lpadi9ezfatWvndbxdu3bYsmWLaJrU1FQkJiZ6/RhBltrxXNUsXedZNa0zJClhIVDLQAXpg9rpitlW9ZSalWb2I6aVbQgSDtwCVLiJZUsRgI9PvhjjyzCZoY5fza5CYLhylCFx7hN0TB3Fr127hszMTMTEeL9gMTExiI+PF00zZcoU5M+f3/0TFxdnSN0y1Uoraj6ILDPbEgxB6MwWVjpOC0w5VkPs/pppABqAyLgAzBcSrUYgZsrBPBsP5rpLwtCmM5sYimW8lw+86XeIBMCuUg5LjCaCz40lhPgdczFmzBgkJCS4f86fP29InYjUx4TWwls+d+1JizD4mZBchgnQIGGWp0SzB0EztRtiMO3SUXEvrSasmN0PmAhAf1FjF8Ohg6nPBci2TIx6ff0OZUWXYsuTEVNHkyJFisBut/tpUa5cueKnbXHhdDoRHR3t9WME6ruJis5hNQ21mR8Vv0B5RmDBj5SZmpWS9bWnVTP4igXrfOAN+vRNR9Bf64vZW5dFYeiHtEEQ60jsMKrbR3vZAcPE91RKUMunwk+M3tAKj5U7+B8zQjA3+Z0yVVgJDQ1F/fr1sWbNGq/ja9asQbNmzUyq1b06HFHpOVZV52B56AZ0GDNnnL1/NK9sACjDsMOpfGvtabNUGnDrSVQsULSqxsQq+kqRSv7HJDyK+jFsO9D2bdFTaSVZnAOaCMt7RuuHSUr4r9NbOa1c/QLhvdrMcajHfPHjI2k3LxhA8dp01z3ygf8x5gmo2KYAc10RmK6nfemll/DVV19hzpw5OHr0KF588UWcO3cOQ4dSWr8bxMVbItGJ9YLlI1ftUd2qkYOJg4TN5C4YXkB7WjM1UvkZbbWiS2osl1EVTPtBKlZV0p9MStWuWgvXmE4lLBohOer1Y0hM03aZa2p0YSg7CJDapBBKsfVYFoY+V6IuZREM41DDQRJ5+tdbyDRxggULCCtPPPEEpk+fjrfffht16tTBxo0b8fvvv6NMGZN2jtxDymaGOZx3i5dUOX3yw4h1ZZYZzUssFus6UOsJ5WsMm7GZKOQ9PsP4MsQ8oYYXAIZTeLo1MIBcavm2FFcZpLKmsVl7aLz4cVbDZiYDdcb7UeEBtvRUWHC51kwKV6C7TkxYoR3z2k+hrk5qbX87lkBiiZCLw4YNw7Bhw8yuhhfhIXYgTUUC2s4hKS1TDiZGfHhZJHOxWEOBxC7imdaPXDgIUrWbkUgJ/w9Fq2hPqwMOM7VxNFGopaImS8SpocboaMysmsIQsejiKsgD266NQWx8oxzzxDx7S5AZS6npMQjTNStWpWkFtY6VKDuHFWMx2EPYVNdULqUNwsx1bpayaSMhd/lCexly0NT9wXEM+ctsc2TJF0DBSKe2hKb6fYHJDtconjfru/T0Crb0PSXsRoIZs7arW20nng7kvhbphGQcHVaM2j5Mu1tAivaTtKdl2V3CCs1M14rLQPd1B8YnKF9XW2qZi7VNFOlZgmvKaQHuf0k+bZQO2joxYcnsiQKNZkRsB5UHWTat2hWDd3L0mE9vYyGFmEE2hwKRd5lViyeSpz3B3BA4XFiRQFC7TYv6gyiVL+tgYqKGwcwtba1GU1yUC5eBWDF6xleijvx5uWUipbrR1F3MLiy8oHI6i3OqucjOD90wqE+0UBBOOWyIGaIzx3jyH9NDD33LmCcbXFiRQIBalTHtMpBBH/a8+j2OLGJe2aYuQVn91VW4N1K7EAB92sYamVoKk9+z5PwGah+McmD20Lgg8fNiBAHoMGJ9PayA/uUEyvO1BFYf8UyjTsJadQkKUwa2M0wLkculFZbdJczbDyWoSLMrxSACIayYJozl8r4sh1KfMvTWyGXOWPDehWzpOdKwGjaL4v+8M+JEdgcGEC6sSFAo7ZLKBOXxZybFmq3Z6+bBSvMXtKdlXr+VoOFAY/KlgVmQsLBAoFg1hro/+rH2tIFATuMEgFj5uZlJz2/MroF5iO3oYR4f/CfV6VXNjcjNhRUJBA02JFuzaihfVEhCA8Psdp6ivoZI4JRls6LZsNBAjFpqoIF1m2cZilmSI4ytDM0Y+EHW7Ln3HkZ3dYUI6kWjND6TqOLK1wRz7CQD/fowoXRPY2sZVbABeZorLnBhRRL1oxLVrCeuofhxCdfi1GRRaGyK6BGEkWMJCsQBPRcAcY21pW8ib4AXX66LcRopJfQwsJVOzJAWUBwX+v/KmL88JfLLPJPn90ifK1SOIneGe8O6vN3qdbb0wUrbCWbXgBpisizLhRUJtGhWmAiNZAzcRmH8ZMngbhzNVH8MKNdSW1oFZ1A3imvM1w1DX7t5hrFsOQx+B1hiTdEgJ6jRejy1IqzbnoN1bDNK2x3MWjIJuLAigaSw0u1LyTTMrwvLC0eVNkhfaMC8l+8hhZlPlY6BqUfAsfJgZ2LdlHylGN5PDczfSKd5xesoFS59qvPnetZEfx77VPpchQcDVw9PaJb97uuhMlNzxwQurEgg+e030wEaK0Esq5hGXYV4GL0WBaYegcbSMzOWjmxwu4y+b0bmn57CUK7CM1FyMSC38aDOkwplm8grJ+UDTIYo2BgZ9TwFAWip4IOq21eqsjTbuJsLKxIEfBmIBtkghjpoVrRG4qVBwUZCGYNeFCWnckpGtGZ/1A1Sf5cvwqieNlMtrziLZ6Adg6dnXTCwv8m9C0rLFUoahAf+J38+WJdxWF0IJN/Upx5i6Dw25XOau8mBCyuSmPHyKJT58PsyJ3XomL2/Z89DiibPGZc3C8Vry583OngcK1kZhmQbFmLhoUHpwyanAmcdwMs2Z0vPilHCcfsp8l6HbTb5CL3hBeTzN1wjbZKwY/ZkRRZ962YzKgQNbfmmlm5hVLvbDwSyLwZFfZXaZKSjMdaX2qxBIRDRjVkwy6iylIg7e8sg08+t+F5bAZq4PFQ7irTC+FyM8NgaEAwc13QfM7mwYkm0LAOVLcxq2a3UGVg9TCq1ycqzBJOwumalTm9zyn1igTnlcoxBIYAiAKByB+PKZxUiZQSp1BjGnUb5YtnSy2HoJEznvE3WInFhRUfCyF3GHEye9WntjFQDDReEDIHFMR2Lg7QoAwdwVuT6o6XV9uaQhDC6+2LovTNu7EstprDUq0SMjLNPK3uS1l1TzoUVS6JFs9IlcxVboQqutmVfjJavKOevKFRYWSXJPzL6Y+I9NUsjFPTk0vfAwOU5wdA4WqzL2/rUQve8Iwrrm58OcGFFEvUxfEJVR2r2QdH+QKa3KBmKAlCcvQTrrDO8oNk1CE5kB3GKvjB0s/ayC8RpT8tEkPZxPXhovOhhs7ekZmOkVjmvTsIY8jYzlIgEXFiR4Fx4dbOr4E8wO5xinoEYWDfmuEwyFKlsXN6syAorFB+PoBRuKdrV4kXjq6EZC/uYsSpmN1tMSxGU8GUgS5Jkz69/pszB+Bg7i+JuILPfapPo/YNxebNoH4xG9nFT9IXcurPmwXHG5d15lnF5K2H2+93rW+lzBvYl0zVHg/6SPse6RFW0mkze3MCWI4XSw5Tz0qhH/qwY5LMDgMHqUsa8bXZchkGzH4UYPKbCvJYv84GhcfdtGHIfPpMNSQXrqdcDhuzSQi4VfAHAJhNJ22wBUhVcWLEoGl4ePWYH0aVkThocMTYzTfpct68Zy5ahwUDj8g4EfX40uwbaYF0GkuvvjQarro4lqNTO2PwNNfZULFzlcUr6/kR3ndxkyEgtnan3HGwxl/r9wlCuzveUa1aCCLuTLX1EIYoyDJTCWTrvfd3lMqbIQKbuxWRUmS6cURRlmASNjworIreWzjrQORjfFRYii0mfU3qH5NK6YHEUaOaAr+RlViuxlFuDHQpxcgzCbmP8zMk9M5r3JItBWCnfSuGCXKyR8oELK2p4aon8eaWBqNnzFIUEk1pQJ5TuW1h+oHJ77ek54tTrL32O6oNs0EBZsgFb+rZvS59T+rjc1005//aT1dXHKtQ2KCAg7ftX/gHpcwZqViKdMhPAQGCaRol7sM27FKZwSS1HKKuHW1ZMlMJZXpzOn1tyK13QIzvTNbGvFK6ocIF03Uh0KSCSwf6Ixgg+sqj2/M3c6mq2N2ZZDUcwfbRV5m2kLaCcsMOXgfIG4k7hTHZXb+YyECtyZZe9P3D1kEB0x4BJamtLQNNXrLgbSOkd0SOWEtN7aLDdmRnoYRNixb5EQ0iE8jX55ewQWQnkfePCiiVxZiX7HwzWF8oSyNy7olW0pwWgx0skKpy+fIw5X0uTK5fPFNoUUQgYuZetCJZxwIL3nHlU06NNwRQjx0Wr1+i0VWEGuMGgwYJ9jQUurEjQPWG+yFHW19pAzUg+CsNAo6Rwmm2qwSjo5XrPuBad5TMYLGdVflj5okLlZU4GYT9lRA9R39IofbSrd9aWb3RJbem8YOxvcuNqyfpsefvCl4GsSXTSaf+Dih9cHQY6rR0ivKCyAR2rnxcpaHY5WVzKN91xlOVg6MujDrEVXaOz5qRZtXqxlW04Mv2s41Tl5AYI/eyaFat/RhTebTMd9RlJbC2za6ArVu9lpiGIDQpKL6XSQGK0DYRS5zRLHQmAafbFPe8aA7NiReK5MMf9sXhME5b+Jpc2xBwDfGZB3ervn1L9QinsToyCWfgMYIRxk7XjXFiRROTBFCitPbuy9yv4KnEVy2LdLXO+RF2g61fK5RsF04sTpKp5OffiVsfMgcnqHz+WexOMy6GKWPx5MdfP6u3LGxgqrEyaNAnNmjVDREQEChQoIHrNuXPn8OijjyIyMhJFihTByJEjkZYm40k1UIhqVpQ6rcxANOA3HRxlKQx0cgPhkPVAUTOD6rHMRhW6KauzPiMo3Qyo+ojZtZAni3VZ0KwPr3RfEqwu6MjeM5r7acQyUB7XrJiar4E2K7oLWblYs5KWloYePXrgueeeEz2fmZmJjh07IikpCZs2bcKSJUvw448/4uWXXzayWpRYcAakGL3TgnV2EVlEW7rYWkDFtvLXPLFAIUyBMgUjdPZBYfUBHFDw+xOAvlRFRJir2kl5KUfWmDwA953l2RplN8aA3cYqrFhdQW/ld9HAuum97G+yVtBQ134TJkwAAMybN0/0/OrVq3HkyBGcP38eJUqUAABMnToVAwYMwKRJkxAdHe2XJjU1Fampqe7/ExMT9a84YN6DkRsIFQMlGlRnVlub+3poGuB33j8HDR+k8Chash7w0mFgvPaX02HXecC1/AAOHfz2MJZftApw/HfvY70WKaeTqbfA6lrdaALpxCtgWFkYgLUnDsw2VgG0WTEZU9/srVu3ombNmm5BBQDat2+P1NRU7N69WzTNlClTkD9/fvdPXByrMZ+OlGnOngfN1kspYu9jL1+M6o8bk68npZuJHAzcy5bL3uts8sVoTxukH06BVUikceDFcm+KMHrBVtSumoAeLw/rfTEDPd6RAmXY0lfuIH9eSSsdRJgqrMTHxyMmxntALViwIEJDQxEfHy+aZsyYMUhISHD/nD9/3qDaaeiIDZ5mL/bBt7SnrfAA8OjH7HXwpeM0xgwoBjOaGbWB2HzrOHgdW4asA3iRysDze9jyoAkQyYQVBRrG+y7rg0UHilMG/ZNCajm1wTNs+bLAKiD2XJC9AUAr/X9lK98snlwCFCqnLW2+GOCxGcCDY+Wve/g9bfmLEmQ2K+PHj4cgCLI/u3btos5PzCCOECJpKOd0OhEdHe31YxlsOqyqhYSzpb+vB0NiiYHemY8hT9B9uGl8tQSSkvUYM2D8aNbrp49reEOxnjpKYLW/oCrEqDIYPgY0bt8Ng/F+VH+MLX0JhXdVYFxqYYmyLUcVBi16vhigXl/l70Uo49jtSbDZrIwYMQK9esk7XipbtixVXrGxsdi+fbvXsZs3byI9Pd1P4xLU1OkTwMIYBo5i1ZERXhSO5Kv6VQeA5joFcm1G77LqPMWWPiADA2ObS9Qxt/yA5RkgTPoYMN+xQLynZVoAZzdpK79GF2DDu9rLbj8JiD8A5I8Dzm3xOBGg59X7R2ARhe2eKFbUfmpDtbBSpEgRFCmicWeHD02bNsWkSZNw6dIlFC+e7bJ99erVcDqdqF9fZ1fBaqnXH9gj5nJfA7qq4hRgUcnabLjY9SeUXtRCv/oA0PzCBHLw1rssFp88VoDmflgkEnaWIxy2jOxYXsw2Kxz1BEJYkdXuKpTP6jKiUDngxUPAkZ+9hZXUO2z50lJJe/gJfce1IFsGUsO5c+ewb98+nDt3DpmZmdi3bx/27duHO3eyH3K7du1QvXp19O3bF3v37sVff/2FV155BYMHDzZ/eUfTC2iBWR3rYK114Gk4mK3cvMrjM82uQe4iqC2lGT4G9fppThoWEkABL7Ko/nmy+L9iYX8QO30MQgztpWPHjkXdunUxbtw43LlzB3Xr1kXdunXdNi12ux0rVqxAWFgYmjdvjp49e6Jz58748MMPjaxW4Anm5QxaOso8M63SvUlN2ZkVQOd5dXvjQJaIkZ1FtBbG4tMvClfUmI9HRwlmYYXFBwuDEGAP5D27/xUDMg2US4dg7Fs6CmrBZrOihnnz5kn6WHFRunRp/Pbbb0ZWI2/BqFnJF6azczQgOD4guteRPr8ssTmD6csZQWAz487GM58A9DWjBm0WYSUY3jEWStQFTqw0uxbeBMM919PwmscG4ugL2wtUKMIgy3er4/Ei2qGDl1EVA5kgJhgEQlgxYLAlNgOEXTEemuD+0yZwzQrbe6/iI+S7pb/LbOPK8qT5KOlzpj1zE/sabZvDCwDdvs62wWSGCysWRc+OGETLQEa8+BolctGPeACoZzvJnklYAbb00SWUr2ElvKD0OY3PLKV8OxVX+5ShpkxJg8sg3rqcL1Z72kB9sH239Cs5JdOLEDkv2gptt3RsII0UVuFE777u+jj2NDlUBBdW9MQKszor1MGPINg+p/d9K1aVvmix+1Olo46VkaBoFZmTlM+syXBdqqKqTDks2f8pqP64eKwkagLYbk8hV+39NmIpIVifOQutRqu7Xo97lJXJngcDXFiRQs8XQI+8KrRhz8MsgtR1e6AQFVasHuPGRUsfg0nTn3WQfrjajGV75kzBFVVe7xlWRPXzNrt/MOB3j03sa7JBSEXQ473kmhWLYsHoqMGLxmUgtS9Yi5c0lWM2hg15NPejkISXXM3CMcOgqHlA9bRZCcCQVvZ+48tQC1O7WT5kVhA+lN4gCwqw9QeYXQMNcJsVa5KZoSGRkS9FoF44C77YtPjO8oMEw2xzyrdSvmb4dnHblXzF9K+Prkj000AsCUQUAl75R988mesdJHZxfBko29i103TGTExoM98NZFFqP6FjZnp0rAB1FAsZ2JYvqmNcCyVMfBFNHWrtIWx2J773Tc19rNTeNzPt9XAToLvpFHNaGQS7Q/QpLOdP05f9AMX7HsVguGwE4QWtuRFCCb4MZFHKtVSfJtgk/EChsZMXjAjQNliTcUCLFk9HdLWHUvGsZQ18NRKod1CsHKMjNssSSM2KjktOXb9iqgoA5WceEp6tCWv2PHtZeRkurOQi1Bo95RkCNPtimuWZN0OsbLtgWtl6kxWhwpOq70cmSo/t2iYul8bWDFDZIrAIECzvjdq0vteH5ddethryFQOKsHqm9nnmziiN+QSRBtETLqzkImJrAVU7+R/XY7ZnCXWrRjTXPQ/tNDATHce9O7UHai+4zZvaCjXDKZxYOY/N0J4f6/vtYHHmaOJ7o8fzos2j9pP6llOqAVt+LJiyDMRtVnIPggB0mGJ2LRgx4CWwGRrVIQfTXdTnRbwHMGJXEeHWd8BVM8uWGqwD1gdEyg8zOfhqoPCMW6X2oykbPdlg7IzLylYaX0wRHLiwkgcw2Zal8+fmlp+/ZGDKCY0EGg/Vti0wmDVXEYUZMwhyWysv9bSJmhVaRHeCqOh/7SdrL1sUlW3x3D0WUUhd2jq92co2E72EFT3GGtX9j/tZ4QQMhs5Wh1H9yUogBYGH3wMe/VhDwjwsrJjmAFGncj37V8DU4wzlNHja/5iad6Spnl6DAdV9n+V9djiBMi1y/g8iWUU/zQq3WdECF1Z0Rw9vtQ+y56EVK+1oCqT8UK9fAAvTmbp9s3+XaqgxA/38Zqh6ZLr1NQ0dpWJbtiJ1f09MFJbzkhdaFopV8/7fVK/iJjwDbrOSB1A7sD2xEOj/K9Dq9ZxjwbxMEQwE87bGpsOB/r8BfZebXROV+L4XGvu4Fs1Kz2+y37ECZbSVaSWhPtAwj0We6YPoPuYvlfN346Ha3FvoBtescKxAaET2i2APkGGqF1YaPHQQ0EIot5MLduVrrIrNDpS731zjRS0wffA902r4+LneMat46g2myYiehsQOuWjKFiaukfa0wfSsPTH5WXFhhZb+v9FdJzoAW0kAsDB9f9Ivr4F/AqWbAk+v0C/P3AqT0GCBgddT0FRrV9B6jL51MYMHxwW2vBYvAeVaAY9/xp5X6abseZhCHhzTK5pongDAjKl7cFLOjOBleeyF8FsDZmh/XEPgmZX01+dltb6O/UxQJSzoVK4zH5Ce5KqAurSBckqmCIPQd3+AA3iGFwD6/6I9fUh4zt/BEl082GF1HzE+QZ96MMB7StBggRlswAlkm/OysKIfMVEMfla0qscf+9QzU3Vpb8drK9OXlq+ypTd1aSDAZT/yAVCkCpsTPbMJtsmN5w6sIIVrVnRHpBMHkwfbYHsJ9SKvthvQte3qstKp3EIVtFbA28EZC42fY8wgmHYDMVKoPDBiR2DLzOuYYv+oL1yzwjGeuMba0gWrIVrQ4fOBL1aDPmkog1Gvr2CRnqwxLcPuEt0Mqxn7qpl9PS8L6mbAxzVNcGGFYyw9FwDVHjW7FhTwAdvNAEpjciB7V02vb3P+ZwqKl6kxnefWZZVDGreZ4GgiyI3SgxD+puqNaCTOYPoQ6lzX6o8Fx8wtGOqohtha2tOqdaGuVXPmixpBp3Alz4Q5f6oVViyzZT1AH7BQkfGJz/QDC7/fmuDCit6ERWfPNB3hytdyLEQuEVa6fQ3E3AcMXE2fhlVQ80zPpFlR4XSqbHPg8ZnZW9Q90wXSZqVIFe1pzSL2PrNrkDtgeWdy28QoQHBhxQiqPgJU8nDnzQ1sNcJnIKq5rzvw3Cbv7aGKWOWZq3zedXtnb1FnWQZiifdSvlXO36zvZ17aDZQr0MuhIYcWLqwEDXxAMRRLCWkBRk/Nihrsod4uyzW782YQVvLah0PsWcWoMKjm5B16zAec+YE+y8yuCQAurBhHXv74BSX8eWlHameOUjIB6OfhXEyrsMKyDGSIy38tBGoyItJeVodhZlLWDGedyBvLQDU6A6+dMd1zrQsurBiGR4fUo3MWq86eBxUWepECqRq30gDy8Ptm10AdLDYrggAUrZZt6FpKY7yVIpWzY0Dlj9OW3kVYAbb0LASqrz/4lnllG0H9AWbXIHdjod1yQSxSWxyWtXAxHCo8g7JgpY92XuR/F4FQyuCLumHyM39uM5CZDoRoDJTmcAKvnda4s8ej7arsfKDzuxIggaF0k+w+NrlEYMozmkLlTCqYj5OBxjpiU24jaD/6wVpvRsx8Xk6PKLYBF1T0gPHe2ezaBRUXDmfgvXQW1PFDGUitTlD2MSlMem+jYs0p10XQfl+0Y5iwcubMGQwcOBDlypVDeHg4KlSogHHjxiEtLc3runPnzuHRRx9FZGQkihQpgpEjR/pdw1HH0Tpvak/sqRGq2xd4bit7hTjylDU5bodWZ2wuJL3JBgEsg/593XP+VruU8sRC7/9N0xBwVNFrMdDuHaBUA3PrEcxLdxoxbCpy7NgxZGVlYfbs2ahYsSIOHTqEwYMHIykpCR9++CEAIDMzEx07dkTRokWxadMmXL9+Hf379wchBJ9++qlCCVZHZ8k3qjj1pTeKaVz7B7wH7zZvAVEx2vNiJo+8kHovGaoli1FYAYPNSjDj9dxUtjsovDpbjJDInOjaZlG1I3se0SXZ88iDGCasdOjQAR06dHD/X758eRw/fhyzZs1yCyurV6/GkSNHcP78eZQokb2GOnXqVAwYMACTJk1CdHS0aN5Bgd5qukaD9c1PCpZZ8pD1wM6vgIxU4OD3etYqd2P24JWVwZY+qFXSwVz3PMbgv4CZTbyPBWPfazjI7BoA/X81uwaqCeiULiEhAYUK5bjy3rp1K2rWrOkWVACgffv2SE1Nxe7du0XzSE1NRWJiotePJdFjtuz5IqowsBX0clikditpibrA45/pt56bV2bpFR7I/l2yvjnlsworXuSRZ5arCJJnVqya2TVgJ7wg4Ag1tw7VHvX2bxQkBExYOXXqFD799FMMHTrUfSw+Ph4xMd7LDAULFkRoaCji4+NF85kyZQry58/v/omLY9yuaBSeYeu1YsbH2jO2UUSRwJefG2g0RGNCk2aJRVndxgfh7NYFy8zc0zA6XGU8JU7eosEz2b/biGwd10IwapQYUS2sjB8/HoIgyP7s2rXLK83FixfRoUMH9OjRA4MGeavABJGbTggRPQ4AY8aMQUJCgvvn/PnzapsQGILV4t5mB14/l+0MSPMMQKcXKRhfyFKN1PtJiWsMDFwDPPaJMXVSIiw/W3q9YgMFG3aHDu8KJ0/QcRow6iDQcKA++eWl9+weqm1WRowYgV69esleU7ZsWfffFy9exAMPPICmTZviiy++8LouNjYW27dv9zp28+ZNpKen+2lcXDidTjidAfI5EqTkCwthy4D146UXwfhClmmmXsiKKAREMBhFm04QCpVuGOtulXeFY20EAShQ2uxaBDWqhZUiRYqgSBG65YELFy7ggQceQP369TF37lzYfLzhNW3aFJMmTcKlS5dQvHj2bpfVq1fD6XSifn2T1u/1wkStQLXiQWyYHKz0WQYc/glo+arZNWEjtpb6NHl16zKHYxZ5sN8athvo4sWLaN26NUqXLo0PP/wQV69edZ+Ljc02wGzXrh2qV6+Ovn374oMPPsCNGzfwyiuvYPDgwcG9EwjwXs/WSrB2SN3qHUQfvooPWiaGBhN2LVq5PLoMFMyE5gPS7phdC3YcjM4EOUGDYcLK6tWrcfLkSZw8eRKlSpXyOkfuDWh2ux0rVqzAsGHD0Lx5c4SHh+Opp55yb20Oamo9AZz8k83qWuPAT4JaLc/hBBILvCuRxQJf5tN/ALPvBQEMZgGzaFWza8AJEIYJKwMGDMCAAQMUrytdujR+++03o6phHo5QoOd8s2thEhb4AHACR7BqAK1CY627xxgormG5z4rwvpdn4LGBrIwOL2JmWEEdKqISvQYQLfYTHG3ENc7+Xa+fhsRBbLNiBTf3Zt8y/sEPPvQwMwgyeNRlK6ODevbyo4sQ+PiqOg1+BSzqQyc30nc5cOUoULKe+rTBvHU5gvtHCbpnltd5YT974M8ghGtW5HDNMiu1N7ceavH4eBBugMahITQCKFVf4yw7iDUrAFDyXlC6Wk+YWw81VO+c/fu+HqZWg2MCBcuaXQNT4JoVOR7+AKj8sHmuifOierZYdeDKEbNroQuZmZlIT083uxrGQwiQ754WLJ0AKSnm1kctPZcAF/cCcU0CW3fXPRMi1JfbYTpQ86lsJ4SUaUNCQmC329WVk9sYuRdIvAjM0yEgISegcGFFjpAwoOoj5pXvCNeY0HN2a4LAwyJkhebTrx4mQQhBfHw8bt26ZXZVAkfzqdm/EwUg6bS5ddFEHHD+QmCLdN2zsPzAaQ33TCgNXBAPSyJFgQIFEBsbK+khPNdTqHz2T14mSJf9uLBiZer3B47+AlRqpzJhzkAUfGNScL5InrgElWLFiiEiIiJvfBiuJGf/LlAaCNUqZOcxXPcssmj2j4EQQnD37l1cuXIFANxOOPM8NbqYXYPAE6TjERdWrExoJPDMSvXpSKbnP7pVhx6GlyFIpX4XmZmZbkGlcOHCZlcncDjuPfMwJxDK7aSocN2z0BAgzPh7Fh6eLUReuXIFxYoVQx5fEMpG9USQYxbcwDYXEpqUoxouHmFiRfIgLhuViAh+4znWw9UvvW2pgnuCwESQT47yElxYyY1kZbn/FGzBNn/KHYNHnlj64QQdvF9yghUurORGsjLMLZ9lQOQznSCHPz8Ox9oEp8DKhRWOxeAfO44+nDlzBoIgYN++fQCA9evXQxAEC+7S4n2ew1GCCyscA2CQ3F1u3zkBZ8CAARAEAUOHDvU7N2zYMAiCoBzvy8Zmsz9v3jwIggBBEGC321GwYEE0btwYb7/9NhISElTlFRcXh0uXLqFmzZpMdXLhqpfUD00sNEtSqqHZNTARLigGC3w3UK7E5BeQZRmozVvZ2zirPaZffTjUxMXFYcmSJfjoo4/cu0dSUlLw7bffonTp0tIJC5XPXn50OJnrEB0djePHj4MQglu3bmHLli2YMmUK5s6di82bN6NECboAEna7HbGxscz1cXHp0iX339999x3Gjh2L48ePu4+57lfQMHxntmuEJs+ZXRMORxGuWcmNeNl9BNnWZWc+oOUrQNHK+lWHQ029evVQunRpLFu2zH1s2bJliIuLQ926db2uXblyJVq0aIECBQqgcMny6NSzP06dOuU+/8033yBfvnz4559/3Meef/55VK5cGUlJSZJ1EAQBsbGxKF68OKpVq4aBAwdiy5YtuHPnDkaPHi1efuHC6NSpk1f5vstAniQlJSE6Oho//PCD1/Fff/0VkZGRuH37tl+a2NhY90/+/Pnd9XT9bNy4EfXr10dYWBjKly+PCRMmICMjx35MEATMnj0bnTp1QkREBKq16oqtu/bj5KnTaN26NSIjI9G0aVOvNowfPx516tTB7NmzERcXh4iICPTo0cNrKWv9+vVo1KgRIiMjUaBAATRv3hxnz56VvL9uilbOftdCI5Wv5XBMhgsruRKu2rQShBDcTcsw5YdoMFh++umnMXfuXPf/c+bMwTPPPON3XVJSEl566SXs3LkTf/31F2w2G7p06YKse7vR+vXrh0ceeQS9e/dGRkYGVq5cidmzZ2PRokWIjFT3gSxWrBh69+6NX375BZmZmVTlyxEZGYlevXp5tRMA5s6di+7duyMqKkpV/VatWoU+ffpg5MiROHLkCGbPno158+Zh0qRJXtdNnDgR/fr1w759+1C1Yjk8NeINPDvqNYwZMwa7du0CAIwYMcIrzcmTJ7F06VL8+uuvWLlyJfbt24fhw4cDADIyMtC5c2e0atUKBw4cwNatWzFkyBC+64cjTZD2Db4MlBvhO2osRXJ6JqqPXWVK2Ufebo+IUHWved++fTFmzBi3ZmLz5s1YsmQJ1q9f73Vdt27dvP7/+uuvUaxYMRw5csRtJzJ79mzUqlULI0eOxLJlyzBu3Dg0bKjNRqJq1aq4ffs2rl+/jmLFilGVL8egQYPQrFkzXLx4ESVKlMC1a9fw22+/Yc2aNarrNmnSJLz++uvo378/AKB8+fKYOHEiRo8ejXHjxrmve/rpp9GzZ08AwGvD+qPpYwPw1usvo3377GCpL7zwAp5++mmvvFNSUjB//nyUKlUKAPDpp5+iY8eOmDp1KkJDQ5GQkIBOnTqhQoUKAIBq1aqprj+HY3W4ZiU3Ek23pm8YQSq5c7IpUqQIOnbsiPnz52Pu3Lno2LEjihQp4nfdqVOn8NRTT6F8+fKIjo5GuXLlAADnzp1zX1OwYEF8/fXXmDVrFipUqIDXX39dc71cWiKX1oCmfDkaNWqEGjVq4JtvvgEALFiwAKVLl0bLluoDl+7evRtvv/028uXL5/4ZPHgwLl26hLt377qvq1WrlvvvmKLZHo7vq54jXMTExCAlJQWJiYnuY6VLl3YLKgDQtGlTZGVl4fjx4yhUqBAGDBiA9u3b49FHH8XHH3/sZVuT6yjTQt/8+MQuaOCaldxIjD67HzTDBwAvwkPsOPJ2e9PK1sIzzzzjXo747LPPRK959NFHERcXhy+//BIlSpRAVlYWatasibS0NK/rNm7cCLvdjosXL7ptRbRw9OhRREdHu8MY0JYvx6BBgzBjxgy8/vrrmDt3Lp5++mlNSyhZWVmYMGECunbt6ncuzMOVfkhIiPtvVzkhIQ6/Y3JLWa5rXL/nzp2LkSNHYuXKlfjuu+/w5ptvYs2aNWjSpInqdlieHnOBXXOBzDSgdFOza8MJIFxYye2YIjhwYcUTQRBUL8WYTYcOHdwffdcShSfXr1/H0aNHMXv2bNx///0AgE2bNvldt2XLFrz//vv49ddf8frrr+P555/H/PnzVdfnypUrWLx4MTp37gybzUZdvhJ9+vTB6NGj8cknn+Dw4cPuZRy11KtXD8ePH0fFihU1pZfj3Llz7qUqANi6dStsNhsqV84xQq9bty7q1q2LMWPGoGnTpli8eHHuFFbyFQNav6ZjhkEyVhWtBlw9CkSXNLsmphFcIyiHDr4Mw0b9AWbXwHTsdjuOHj3q/tuXggULonDhwvjiiy9QvHhxnDt3zm+J5/bt2+jbty+ef/55PPzwwyhdujQaNGiATp06oUePHpJlE0IQHx/v3rq8detWTJ48Gfnz58e7775LXT4NBQsWRNeuXfHqq6+iXbt2Xsstahg7diw6deqEuLg49OjRAzabDQcOHMDBgwfxzjvvaMrTRVhYGPr3748PP/wQiYmJGDlyJHr27InY2FicPn0aX3zxBR577DGUKFECx48fx4kTJ9CvXz+mMjkW46nvgC2fAE2G6ZBZcH4fuM0KR3+CfRkoIg9FS5YhOjpacsnGZrNhyZIl2L17N2rWrIkXX3wRH3zwgdc1L7zwAiIjIzF58mQAQI0aNfDee+9h6NChuHDhgmS5iYmJKF68OEqWLImmTZti9uzZ6N+/P/bu3YvixYtTl0/LwIEDkZaWJrrjiZb27du7jXMbNmyIJk2aYNq0aShTpozmPF1UrFgRXbt2xSOPPIJ27dqhZs2amDlzJoDswITHjh1Dt27dULlyZQwZMgQjRozAs88+y1wux0IULAN0nAoUrmB2TUxDIFr2NlqIxMRE5M+fHwkJCZrXwnMdGWnAO0Wz/x68DihZL7Dlr50EbHw/++/x6ryOmsr4/Nm/738ZeHCspixSUlJw+vRplCtXzstWgWNdFi1ahBdeeAEXL15EaGho4Aq+uDf7d1QsEFVc9JLx48dj+fLlor5itMD75z0+qQvc+Bd46aj5GxIChWt8q94Z6Kl+KdYI1Hy/+TJQbsRrGYjbrHA4Yty9exenT5/GlClT8OyzzwZWUOGYy/AdQNodILyg2TUJPEFqJsCXgTj6U7VT9u98+rk653D05v3330edOnUQExODMWPGBL4CrjhKzvyBLzuvYw/Je4JK7L1t83V6m1sPjfBloNxIZgYw8Z7dxeC1QMn6ga/D9VPZ6u1gcuXNl4E4gSQrE8hKBxyB6ye8f+Zh0lOAhPNAkUpm18QNXwbimE9QG4IFp5qUE2TY7Nk/HE4gCAmzlKCiFr4MlBsJ0jVJ6xDUykYOh8PJdXBhJVfiIazw7y6Hw+FwghwurHA4fnDNFIfD4VgJLqzkRvgyEIfD4XByEVxYyfXwdSAOh8PhBDeGCiuPPfYYSpcujbCwMBQvXhx9+/bFxYsXva45d+4cHn30UURGRqJIkSIYOXKkqqipHBG4ZoUTAFq3bo1Ro0aZXQ038+bNQ4ECBdz/jx8/HnXq1DGtPhwORz8MFVYeeOABLF26FMePH8ePP/6IU6dOoXv37u7zmZmZ6NixI5KSkrBp0yYsWbIEP/74I15++WUjq8XhcEQYMGAABEHA0KFD/c4NGzYMgiBgwIAB7mPLli3DxIkTdSlTEASEhIQgJiYGbdu2xZw5c5CVlaUqryeeeAInTpxgqo+L9evXu+sl9TNv3jxdyuJwOMoY6mflxRdfdP9dpkwZvP766+jcuTPS09MREhKC1atX48iRIzh//rw7/PnUqVMxYMAATJo0iTt543ACTFxcHJYsWYKPPvoI4eHhALIdiX377bcoXbq017WFChXSpcwOHTpg7ty5yMzMxOXLl7Fy5Uq88MIL+OGHH/DLL7/A4aAbpsLDw911ZqVZs2a4dOmS+/8XXngBiYmJmDt3rvtY/vzc8yyHEygCZrNy48YNLFq0CM2aNUNISAgAYOvWrahZs6ZbUAGyo5empqZi9+7dovmkpqYiMTHR64fDsTSEAGlJ5vyodFBdr149lC5dGsuWLXMfW7ZsGeLi4lC3bl2va32XgcqWLYvJkyfjmWeeQVRUFEqXLo0vvvhCsUyn04nY2FiULFkS9erVw//+9z/8/PPP+OOPP7y0F9OmTcN9992HyMhIxMXFYdiwYbhz5477vO8ykCcbN25ESEgI4uPjvY6//PLLaNmypd/1oaGhiI2Ndf+Eh4e76xkbG4uYmBh8+umnKF++PMLDw1G7dm388MMP7vQuzcyqVatQt25dhIeHo02bNrhy5Qr++OMPVKtWDdHR0XjyySdx9+5dr3s6YsQIjBgxAgUKFEDhwoXx5ptvwtPR+MyZM1GpUiWEhYUhJibGS1vN4eRWDPdg+9prr2HGjBm4e/cumjRpgt9++819Lj4+HjExMV7XFyxYEKGhoX6DiospU6ZgwoQJhtY5VxHc0RRyB+l3gckmRXb930XVIQ+efvppzJ07F717Z8cQmTNnDp555hmsX79eMe3UqVMxceJE/O9//8MPP/yA5557Di1btkTVqlVV1aFNmzaoXbs2li1bhkGDBgEAbDYbPvnkE5QtWxanT5/GsGHDMHr0aMycOVMxv5YtW6J8+fJYsGABXn31VQBARkYGFi5ciHfffVdV3QDgzTffxLJlyzBr1ixUqlQJGzduRJ8+fVC0aFG0atXKfd348eMxY8YMREREoGfPnujZsyecTicWL16MO3fuoEuXLvj000/x2muvudPMnz8fAwcOxPbt27Fr1y4MGTIEZcqUweDBg7Fr1y6MHDkSCxYsQLNmzXDjxg38/fffquvP4QQbqjUr48ePV1zL3bVrl/v6V199FXv37sXq1atht9vRr18/r1mCIGIMSggRPQ4AY8aMQUJCgvvn/PnzapvA4XBk6Nu3LzZt2oQzZ87g7Nmz2Lx5M/r06UOV9pFHHsGwYcNQsWJFvPbaayhSpAiVkCNG1apVcebMGff/o0aNwgMPPIBy5cqhTZs2mDhxIpYuXUqd38CBA72WcVasWIG7d++iZ8+equqVlJSEadOmYc6cOWjfvj3Kly+PAQMGoE+fPpg9e7bXte+88w6aN2+OunXrYuDAgdiwYQNmzZqFunXr4v7770f37t2xbt06rzRxcXH46KOPUKVKFfTu3RvPP/88PvroIwDZGxIiIyPRqVMnlClTBnXr1sXIkSNV1Z/DCUZUa1ZGjBiBXr16yV5TtmxZ999FihRBkSJFULlyZVSrVg1xcXHYtm0bmjZtitjYWGzfvt0r7c2bN5Genu6ncXHhdDrhdDrVVpvDMY+QiGwNh1llq6RIkSLo2LEj5s+fD0IIOnbsiCJFilClrVWrlvtvQRAQGxuLK1euqK4D4D9pWbduHSZPnowjR44gMTERGRkZSElJQVJSEiIjlbVHAwYMwJtvvolt27ahSZMmmDNnDnr27EmV1pMjR44gJSUFbdu29Tqelpbmt1TmeT9iYmIQERGB8uXLex3bsWOHV5omTZp4tbtp06aYOnUqMjMz0bZtW5QpUwbly5dHhw4d0KFDB3Tp0gUREeqfM4cTTKgWVlzChxZcGpXU1FQA2S/hpEmTcOnSJRQvXhwAsHr1ajidTtSvb0Kk4FwJXwYyHUEIrujTAJ555hmMGDECAPDZZ59Rp3PZo7kQBEH1rh4XR48eRbly5QAAZ8+exSOPPIKhQ4di4sSJKFSoEDZt2oSBAwciPT2dKr9ixYrh0Ucfxdy5c1G+fHn8/vvvmrQ+rvasWLECJUuW9DrnO5HyvB+uHU+eqL0/UVFR2LNnD9avX4/Vq1dj7NixGD9+PHbu3Clpr8Ph5AYMs1nZsWMHduzYgRYtWqBgwYL4999/MXbsWFSoUAFNmzYFALRr1w7Vq1dH37598cEHH+DGjRt45ZVXMHjwYL4TiMMxkQ4dOrj9HbVv3z7g5a9duxYHDx507yjctWsXMjIyMHXqVNhs2avXapaAXAwaNAi9evVCqVKlUKFCBTRv3lx1HtWrV4fT6cS5c+e87FP0Ytu2bX7/V6pUCXZ7doRmh8OBhx56CA899BDGjRuHAgUKYO3atejatavudeFwrIJhwkp4eDiWLVuGcePGISkpCcWLF0eHDh2wZMkS9+zDbrdjxYoVGDZsGJo3b47w8HA89dRT+PDDD42qFoejDHeqB7vdjqNHj7r/NpLU1FTEx8d7bV2eMmUKOnXqhH79+gEAKlSogIyMDHz66ad49NFHsXnzZnz++eeqy2rfvj3y58+Pd955B2+//bam+kZFReGVV17Biy++iKysLLRo0QKJiYnYsmUL8uXLh/79+2vK18X58+fx0ksv4dlnn8WePXvw6aefYurUqQCA3377Df/++y9atmyJggUL4vfff0dWVhaqVKnCVCaHY3UME1buu+8+rF27VvG60qVLe+0Q4nA41iBQ2s2VK1eiePHicDgcKFiwIGrXro1PPvkE/fv3d2tR6tSpg2nTpuG9997DmDFj0LJlS0yZMsUtzNBis9kwYMAATJ48WXVaTyZOnIhixYphypQp+Pfff1GgQAH3tmtW+vXrh+TkZDRq1Ah2ux3PP/88hgwZAgAoUKAAli1bhvHjxyMlJQWVKlXCt99+ixo1ajCXy+FYGYGQ4N7bmpiYiPz58yMhIYEvHXmyoCuQcB54bgtgD1G+ngP8/ipw8Adg+HYgXzFNWaSkpOD06dMoV64cwsLCdK4gRw8GDx6My5cv45dffjG7Kn60bt0aderUwfTp0w3Jn/dPjpVQ8/023M8KxyT6/JjtY8XGY1VS88gHQIf3+D3LpSQkJGDnzp1YtGgRfv75Z7Orw+FwVMCFldyKIHDbCy1wQSXX8vjjj2PHjh149tln/bYdczgca8OFFQ6HkyfQ6pwukARDHTkcM+DTSA6Hw+FwOJaGCyscjgEEud06J5fC+yUnWOHCCoejIy4PpZ6RdDkcq+Dql76edDkcq8NtVjgcHbHb7ShQoIA7Hk5ERIRkUE4OJ1AQQnD37l1cuXIFBQoUMNzRH4ejN1xY4XB0JjY2FgA0B/DjcIyiQIEC7v7J4QQTXFjhcHRGEAQUL14cxYoVow6yx+EYTUhICNeocIIWLqxwOAZht9v5x4HD4XB0gBvYcjgcDofDsTRcWOFwOBwOh2NpuLDC4XA4HA7H0gS9zYrLyVFiYqLJNeFwOBwOh0OL67tN46ww6IWV27dvAwDi4uJMrgmHw+FwOBy13L59G/nz55e9RiBB7n85KysLFy9eRFRUlKWcbyUmJiIuLg7nz59HdHS02dUJGHm13UDebTtvN293XiCvthswru2EENy+fRslSpSATSHifdBrVmw2G0qVKmV2NSSJjo7Ocx0byLvtBvJu23m78xa83XkPI9qupFFxwQ1sORwOh8PhWBourHA4HA6Hw7E0XFgxCKfTiXHjxsHpdJpdlYCSV9sN5N2283bzducF8mq7AWu0PegNbDkcDofD4eRuuGaFw+FwOByOpeHCCofD4XA4HEvDhRUOh8PhcDiWhgsrHA6Hw+FwLA0XVjgcCrgdOievwPt63iJYnjcXVjiq+O+//3Dp0iUAwdPJWbly5Yo7BhWQd9oNACdPnsSaNWvMrkbAOX/+PHbv3o2LFy+aXZWAkpCQgMzMTPf/eaWvnzhxAkOHDsXff/9tdlUCSjCNbVxYUUl6ejrmzp2Ln376CceOHTO7OgEjPT0dzz77LJo1a4YFCxYAgKViMRlBRkYGBg4ciEaNGuGhhx5C7969ce3atVzfbhcHDhxA5cqV8eSTT+Ls2bNmVycguPp5vXr18Mwzz6B27drYvHmz2dUynPT0dAwfPhyPPPIIHnnkEUycOBGZmZm5vq9nZWXhxRdfRJ06dZCUlOT14c7NBOPYxoUVFcyePRsxMTGYM2cORo0ahW7dumHp0qUAsjt9buX8+fNo3rw5Dh48iO+//x5PPvkkCCGWlsJZycjIwIABA3DkyBHMnz8fTz75JA4cOICuXbvi6NGjZlcvIKSlpaF9+/YICQnB+++/b3Z1DOfOnTvo3r07/vnnH6xevRpLly5FvXr18NZbbwGw9qyThTVr1qB69eo4fPgwXn31VcTFxWHRokUYP348gNzbbgD4448/sHPnTvzxxx9YsGABHnnkEfe53NruoB3bCEeR9PR08tFHH5H77ruPLFq0iBBCyP79+8nzzz9P6tevTzIzM02uobF89dVX5KGHHiJZWVmEEELOnz9P0tLSTK6VsZw7d45UqlSJLFiwwH3s0qVLpGTJkuT5558n8fHxJtYuMMyePZs8+eST5K+//iIOh4Ns377d7CoZyvbt20mlSpXI2rVr3ce+/PJL8thjj+XadzwhIYEMGjSIDB8+3P1Op6amknHjxpH27duTpKQkk2toLJ07dybDhw8nhBCyfv168uabb5K5c+eSs2fPmlwz4wjWsY1rVhQghCA9Pd096+rVqxcAoFatWqhRowYcDgeuXr1qci31h3hoTnbt2oXatWvj1q1b6NmzJ9q2bYtGjRphyJAhiI+PN7mmxnD9+nX8999/aNKkCQAgNTUVsbGxGDNmDFavXo2NGzeaXENj8NQQOp1OlClTBm3atEHDhg0xYcIEANnh4nMjaWlpOHnypNul+LVr1/DZZ5+hRIkSmDNnDpKTk02uof4QQtCiRQsMGjQIISEhIIQgNDQUKSkpSE5ORkRERK7VMNy+fRvXrl3Dgw8+iHfeeQe9evXCwYMHMXbsWLRp0wa//vqr2VU0hGAd27iwIsGpU6eQlZUFQRAQFhaG3r17Y+zYsbDZbO6Xt2DBgrhz5w6KFStmcm3149SpUyCEQBAE9/rloUOHAADTp08HAMyYMQNDhw7Fr7/+inHjxuHChQsAgldtOnnyZIwbNw5LlixxH6tWrRqKFSuGhQsXAgBstuxXZfjw4YiKisIff/yB1NRUU+qrJ75td7UTAPbs2YM7d+4AABYtWoSVK1fi4YcfRvv27YPeXkvsmbdo0QKtWrXC008/jYcffhgxMTGIjY1FaGgoxowZg/79++PgwYMm1pqd33//HUCOUJo/f370798fderU8TqekJCA8uXLA8gdtmmudnuOUVFRUUhPT8dXX32FEydOYNmyZfjhhx9w9uxZVKhQAXPmzAn6fv7FF1/gyy+/9BJAKlWqhNjY2OAb28xS6ViVr7/+mpQuXZrUr1+fNG7cmHzzzTfu5Q9CiJc6+OmnnyZ9+vQhhJCgXxbxbffChQtJamoqIYSQDz/8kNjtdlK5cmWyc+dOd5q5c+eSGjVqkF9//dWsajOxfft2Urp0aVKvXj3y8MMPk6ioKNKtWzdy6tQpQgghr7zyCqlcuTK5fPkyIYSQ5ORkQggh8+fPJwUKFHD/H4yItb179+7kn3/+cV/Tq1cv8ueffxJCspdDwsPDSUhICPnhhx/MqjYzUu0+duwYIYSQxMRE8s8//5BmzZqRDz/80J1u7969pHz58mTp0qVmVZ2J3377jZQsWZIIgkA2b95MCCGiS1uusa5x48bkq6++8joWjIi1Oysry92mr7/+mgiCQCpXrkyuXLniTrdx40ZSvHhxsmXLFlPqzcrixYtJsWLFSNOmTUmdOnVI0aJFyaRJkwgh2Ut/o0ePDrqxjQsrHkyfPp1UrFiRfPvtt2TTpk1k7NixxGazkc8++8wtjGRlZZGMjAySnp5O6tWrR2bPnu2XT7Ctb4u1WxAE8tlnn5GMjAxy+PBhUrt2bVK2bFly4cIFr7QlS5Yks2bNMqnmbLz00kukY8eOhJDsZ3bw4EFSpkwZMnToUHLr1i2ybds2Uq9ePTJs2DBCSM6gvW7dOlKsWDGyf/9+0+rOilTbn3vuOfLff/8RQgjp06cP6du3L2nYsCEpWrQomThxIilYsKDXRzzYkGv3xYsXCSGE7Ny5k1SpUoVcuXLF/cwzMjKCtu1///036dChAxkxYgR5+OGHSYMGDWSvP336NClatKhbgCOEuAX4YBrbaNp95MgR0rp1a1K9enVy6dIl9/Hk5GSSL18+8v333weyyrqwaNEiUrt2bfL5558TQgi5cOECmTFjBomMjCQJCQmEEELWrFlDGjZsGFRjGxdW7pGUlETatm1Lxo0bRwjJeXj3338/KVOmDFm+fLnX8UuXLpFSpUq5X+i9e/eS/v37B7zerMi1Oy4ujvz222+EEELef/99YrfbvWaWV65cIffddx9ZuHBhwOvNQlZWFrl16xZp0aIFeeWVVwghOYPwzJkzSd26dd0v+kcffUQiIiLIsmXL3Jqmd955h7Ru3TooZ5xKba9fvz759NNPCSGEdOnShRQqVIgMHz7cLcC8++67RBAEcvr0aVPqrxWadk+fPp0QQsixY8eIIAhk9+7d7vQ//fQTqVevHtmzZ0/gK68RV/88ceIEmTZtGvn333/Jrl27SEREhFtrIiZ8zJo1i9SrV48QQsiePXtIo0aNSNGiRUl6enrgKs8ATbszMjLcv5cvX06cTicZN26cu59/9913pGnTpm7NQzDgave8efPIkCFDyN27d93nNm3aRCpXrky2bt1KCMkWxj766CMSGRkZNGMbF1bukZqaSgoVKkQWL15MCMlRi3Xr1o2UKFGC9OvXz0tNuGDBAnL//feTxMRE8swzz5CQkBDy+OOPk8zMTEs+aCmU2t23b19y8+ZNcufOHdKlSxcSFxdHxo0bR/bu3UsGDhxI6tat656RWpndu3eTW7dueR1r0KABefbZZwkhhKSkpBBCspfzunbtSh577DFy4cIFkpaWRl599VUSFRVFWrVqRXr06EHCw8PJZ599RggJDhW5lrbfvHmTHDhwgBw8eNArXUpKCnn//feDYoattt2dO3cmZ8+eJUlJSeSJJ54gERERZOjQoaRfv34kKiqKjB07Nmift+vjnJ6eTl5++WVStGhRd/tduNr2/PPPk+7du5MXX3yR2Gw2MnDgQL9rrYjadnv24U8++YSUKFGCVKlShXTp0oVERka6l02szu7du8nNmzfd/9+6dcvdbhf79u0jsbGx5MaNG+5jiYmJZPTo0UEztuVJYWXp0qVk0KBBZPr06eTAgQPu408++SSpWrWqW7peuHAheeCBB8igQYNI5cqVyd69e93X9urVi9jtdhIVFUUaNGhAjh49GuhmqEZLuytVquRud1paGhk5ciSpX78+qVKlCmnVqhU5efKkGU2h5ocffiClSpUiFSpUIKVLlyZjx451t/Pjjz8m+fLlc2/PdM0ufvzxR1KqVCn3GjchhHz//fdk3LhxZOjQoUHxrAnR3vaSJUsG7Vo9IWzP3NXupKQkMnr0aDJgwADSr18/cvz4cXMaowKxdruWNjztNP79918SFxdHXn75Zfc5F5mZmaRMmTJEEATSunVrcvjw4cA3RCVa2+0rcG/bto3MnDmTjBkzJiif91tvveW17dizfdOmTSPNmzcnhOT0eRfBMrblKWHl2rVrpHv37iQ2NpYMHTqUtGjRghQvXpx88803hJBstWH58uVJ+fLlSYkSJUhERAT58ccfCSGEOBwOsmLFCkJI9gvw5JNPkrJly7qPWRm92u3izp07lhdSCMm2PahatSqZPn062b9/P5k5cyYpWrQoee6558itW7fI2bNnSYUKFdwzbU8j6cKFC5Ovv/7arKozk1fbztpu1zKBi2BZ+pBr9/Xr1wkhOVqGrKwsMnPmTOJwOMi///5LCMn+gCUlJZHk5GQyefJksmrVKtPaogY92p2YmGha/bVC0+7MzEx3/+3SpYvbn0ywkqeEle+//540atTIPcsihJDHH3+clC1blvz000+EkGyHZ6tWrSLz5893D2RXrlzx2wlw4sSJgNadBdZ2B5uRmWsmNWvWLFKqVCm3URkhhMyYMYM0atSITJkyhRBCyGeffUbsdjvZsGGD+5pTp06RChUquAW2YCKvtp23W7zdTZo0IRMnTvRLd/36ddKsWTPy+OOPk927d5O2bdt6OQmzOnq1u127dmTBggWWW/KQQm27XWYJFSpUcNsfHj9+nPTq1YucO3cusJVnJE8JK126dCFdu3YlhBBy+/ZtQki2MZIgCOTBBx9026T4qge/++47UrVqVS9r8WAir7Z79OjRpE2bNl5eOO/cuUOGDx9OmjRpQo4fP06ysrJI7969SWxsLJkwYQLZu3cvefbZZ8l9993nt/MpmMirbeft9m93s2bNyKFDhwghxMuWYe7cuUQQBGKz2UinTp2C0lutHu32NEQNFmjbTUj2dv377ruPXLx4kbzwwgvE6XSStm3bBoUdkie51incxo0bsWrVKmRkZLiPVapUCYcPHwYA5MuXDwBw7NgxtGnTBikpKVi+fDmAbCc5V69exbFjxzBjxgy8+OKL6Nq1K4oUKWJ5x2d5sd1r1qzByJEj8fHHH2PHjh3u482bN8eWLVvcXnYzMzMRGRmJxx9/HDabDStWrIAgCFi4cCF69OiBn376CT169MDOnTuxaNEilChRwqwmUZNX287bTd9uQRCwevVqAIDdbkdaWhpmzpyJgQMHomXLljhw4AB+/fVXREREmNImGoxsd3h4uCltooG13UC2Q7xDhw6hSpUqWLNmDTZv3ozVq1e7PTUHDWZLS3pz9epV0q9fPyIIAqldu7bXFstTp06RokWLklatWpH33nuPNG3alJQrV4789ddfpHbt2uStt95yX7t7927SuXNnUq5cuaBQj+bFdl+8eJF06tSJFCtWjPTu3Zvcd999JH/+/O4YNsnJyaRq1apkyJAhhBBvzdH9999PnnvuOff/mZmZJCkpycu3hJXJq23n7dbWbpc/DUIIiY+PJy+88AKZP39+YBuhAd5u9na/8847pGjRokG3xOlLrhJW0tPTycyZM0n79u3JkiVLSEREBJkyZYqXumvTpk1k8ODBpF69emTEiBHk6tWrhBBC+vbtS7p16+aVX7D4VMiL7U5KSiL9+/cnTzzxhNtYjhBCGjZsSAYMGEAIyVb9fvPNN8Rms3nt7CGEkN69e5MHHnjA/X+wrFkTknfbztutT7uDBd5u7e1u3bq1+39PlxvBTK4SVgjJ3n7mcv8+YcIEUrRoUa8txy48t29dvnyZ1KxZk7zzzjuEkODZAeBJXmz3kCFDyB9//EEIyan7hAkTSOPGjd3XpKSkkC5dupBq1aqR9evXk6ysLHLp0iXSqFEjv50fwURebTtvN283b3c2ubHdcuQ6YcV3tlSiRAkyZMgQ9/Y0z/PJyckkLS3N7bXU0/dIsJEX2+257dTVvj59+pDBgwd7HUtOTiatW7cmxYoVI+3atSMlSpQgTZo0CTpreE/yatt5u3m7ebtzb7vlyHXCiguXBmHp0qXE4XCQ1atXe53/77//yMyZM0mDBg28PLgGO3m13S7uv/9+MnfuXEJIThwnQrLXq1evXk0mTZpEFi1aZGINjSOvtp23m7ebEN7u3NpuF7lWWPGkadOm5KGHHnLHeXCt4S1evDgoA5PRktfaferUKRITE0N27drlPubrrTG3klfbztvN283bnTdwmL0byUgyMjLgcDjw5Zdfonbt2liyZAlOnTqFTZs2Yf78+XjyySfNrqIh5LV2E0IgCAI2bdqEfPnyoX79+gCACRMmID4+HhMmTECxYsVMrqUx5NW283bzdgO83bm13WLkamHF4chuXo0aNVCvXj2MGjUKpUuXxuzZs1GzZk2Ta2ccea3dgiAAAHbs2IFu3bphzZo1GDJkCO7evYsFCxbk6pc5r7adt5u3m7c797ZbFDPVOoHg5MmTpGbNml7hwfMCea3dycnJpGLFikQQBOJ0Osm7775rdpUCRl5tO283b3deIK+225dcrVkBsj0XduvWDa+99pqlPRXqTV5rd1hYGMqWLYu2bdti2rRpCAsLM7tKASOvtp23m7c7L5BX2+2LQIiF/ahzOCrIzMyE3W43uxqmkFfbztudt+DtzrtwYYXD4XA4HI6lybWBDDkcDofD4eQOuLDC4XA4HA7H0nBhhcPhcDgcjqXhwgqHw+FwOBxLw4UVDofD4XA4loYLKxwOh8PhcCwNF1Y4HA6Hw+FYGi6scDgcDofDsTRcWOFwOIYxYMAACIIAQRAQEhKCmJgYtG3bFnPmzEFWVpbf9e3atYPdbse2bdsAAGfOnHGnl/oZP3687HWuvDgcTvDCPdhyOBzDGDBgAC5fvoy5c+ciMzMTly9fxsqVKzFlyhTcf//9+OWXX9xRws+dO4caNWrgmWeewd27d/Hll18iMzMTV69edef34YcfYuXKlfjzzz/dx/Lly4dr166hXLly+PPPP1GjRg2vOhQuXBghISGBaTCHwzGEXB/IkMPhmIvT6URsbCwAoGTJkqhXrx6aNGmCBx98EPPmzcOgQYMAAHPnzkWnTp3w3HPPoVGjRpg+fToiIyPdaYFswcThcHgdA4Br164ByBZMfM9xOJzghy8DcTicgNOmTRvUrl0by5YtAwAQQjB37lz06dMHVatWReXKlbF06VKTa8nhcKwCF1Y4HI4pVK1aFWfOnAEA/Pnnn7h79y7at28PAOjTpw++/vpr1Xk2a9YM+fLl8/rJzMzUs9ocDscE+DIQh8MxBUIIBEEAAHz99dd44okn3PYrTz75JF599VUcP34cVapUoc7zu+++Q7Vq1byO2e12/SrN4XBMgQsrHA7HFI4ePYpy5crhxo0bWL58OdLT0zFr1iz3+czMTMyZMwfvvfcedZ5xcXGoWLGiEdXlcDgmwpeBOBxOwFm7di0OHjyIbt26YdGiRShVqhT279+Pffv2uX+mT5+O+fPnIyMjw+zqcjgck+GaFQ6HYyipqamIj4/327rcqVMn9OvXD/Xr10f37t1Rs2ZNr3RlypTBa6+9hhUrVuDxxx+nKuv69euIj4/3OlagQAGEhYXp1h4OhxN4uGaFw+EYysqVK1G8eHGULVsWHTp0wLp16/DJJ5/g559/xr59+7B//35069bNL11UVBTatWunytD2oYceQvHixb1+li9frmNrOByOGXCncBwOh8PhcCwN16xwOBwOh8OxNFxY4XA4HA6HY2m4sMLhcDgcDsfScGGFw+FwOByOpeHCCofD4XA4HEvDhRUOh8PhcDiWhgsrHA6Hw+FwLA0XVjgcDofD4VgaLqxwOBwOh8OxNFxY4XA4HA6HY2m4sMLhcDgcDsfS/B/CnvE1F7h6dwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df_tul_plot = pd.DataFrame({'Max Daily Temps': df_tul_tmax['Values'], \n",
+    "    'Min Daily Temps': df_tul_tmin['Values']}, \n",
+    "    index = df_tul.index)\n",
+    "\n",
+    "df_tul_plot.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_1649/3119488020.py:11: UserWarning: This axis already has a converter set and is updating to a potentially incompatible converter\n",
+      "  ax.plot(min_date.index,\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fa942faafd0>"
+      ]
+     },
+     "execution_count": 109,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x900 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(1,1, figsize = (12,9))\n",
+    "\n",
+    "# Daily highs and lows\n",
+    "df_tul_plot.plot(ax = ax)\n",
+    "\n",
+    "# Average daily highs and lows\n",
+    "ax.axhline(y = normal_max, c = 'black', label = 'Average Daily High', linestyle = 'dashed')\n",
+    "ax.axhline(y = normal_min, c = 'black', label = 'Average Daily Low', linestyle = 'dotted')\n",
+    "\n",
+    "# Max and min values\n",
+    "ax.plot(min_date.index, \n",
+    "    min_date['Values'].values, \n",
+    "    marker = 'o', \n",
+    "    c = 'red', \n",
+    "    label = 'Minimum Temperature'\n",
+    "    )\n",
+    "\n",
+    "ax.plot(max_date.index, \n",
+    "    max_date['Values'].values, \n",
+    "    marker = 'o', \n",
+    "    c = 'green',\n",
+    "    label = 'Maximum Temperature'\n",
+    "    )\n",
+    "\n",
+    "ax.text((10000),min_value-3, '-31.7 degC', fontsize = 12, c = 'red')\n",
+    "ax.text((15300), max_value+2.1, '39.4 degC', fontsize = 12, c = 'green')\n",
+    "\n",
+    "ax.legend(loc = 'lower right')"
+   ]
+  }
+ ],
+ "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": "3.13.7"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}