Bigdataprject.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import dask.dataframe as dd\n",
    "import dask.array as da\n",
    "import dask.bag as db\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_path = \"/Users/georgenwachukwu/Desktop/SECOND YEAR/Second semester/Big Data Project 5011/Assesment/Trips_by_Distance.csv\"\n",
    "file_path_full = \"/Users/georgenwachukwu/Desktop/SECOND YEAR/Second semester/Big Data Project 5011/Assesment/Trips_Full Data.csv\"\n",
    "\n",
    "df = pd.read_csv(file_path)\n",
    "df_full = pd.read_csv(file_path_full)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 988773 entries, 21061 to 1048574\n",
      "Data columns (total 22 columns):\n",
      " #   Column                          Non-Null Count   Dtype  \n",
      "---  ------                          --------------   -----  \n",
      " 0   Level                           988773 non-null  object \n",
      " 1   Date                            988773 non-null  object \n",
      " 2   State FIPS                      988773 non-null  float64\n",
      " 3   State Postal Code               988773 non-null  object \n",
      " 4   County FIPS                     988773 non-null  float64\n",
      " 5   County Name                     988773 non-null  object \n",
      " 6   Population Staying at Home      988773 non-null  float64\n",
      " 7   Population Not Staying at Home  988773 non-null  float64\n",
      " 8   Number of Trips                 988773 non-null  float64\n",
      " 9   Number of Trips <1              988773 non-null  float64\n",
      " 10  Number of Trips 1-3             988773 non-null  float64\n",
      " 11  Number of Trips 3-5             988773 non-null  float64\n",
      " 12  Number of Trips 5-10            988773 non-null  float64\n",
      " 13  Number of Trips 10-25           988773 non-null  float64\n",
      " 14  Number of Trips 25-50           988773 non-null  float64\n",
      " 15  Number of Trips 50-100          988773 non-null  float64\n",
      " 16  Number of Trips 100-250         988773 non-null  float64\n",
      " 17  Number of Trips 250-500         988773 non-null  float64\n",
      " 18  Number of Trips >=500           988773 non-null  float64\n",
      " 19  Row ID                          988773 non-null  object \n",
      " 20  Week                            988773 non-null  int64  \n",
      " 21  Month                           988773 non-null  int64  \n",
      "dtypes: float64(15), int64(2), object(5)\n",
      "memory usage: 173.5+ MB\n",
      "Week\n",
      "0     20976.786952\n",
      "1     20071.310863\n",
      "2     19897.342408\n",
      "3     19889.436675\n",
      "4     20096.313462\n",
      "5     19757.425989\n",
      "6     19599.069548\n",
      "7     20033.597170\n",
      "8     19741.670867\n",
      "9     20043.095149\n",
      "10    19826.900589\n",
      "11    20264.390629\n",
      "12    20632.226251\n",
      "13    20792.383279\n",
      "14    21064.024586\n",
      "15    21375.296433\n",
      "16    20066.291118\n",
      "17    19666.744804\n",
      "18    20020.237718\n",
      "19    19679.550872\n",
      "20    19881.386992\n",
      "21    20060.819541\n",
      "22    19897.745108\n",
      "23    20503.628696\n",
      "24    20571.770526\n",
      "25    20088.389972\n",
      "26    20823.985153\n",
      "27    20249.929104\n",
      "28    20038.482247\n",
      "29    20758.966759\n",
      "30    20662.342080\n",
      "31    20285.019485\n",
      "32    19052.686234\n",
      "33    18745.051412\n",
      "34    18890.033421\n",
      "35    20627.338011\n",
      "36    19918.284514\n",
      "37    20077.207573\n",
      "38    20648.268011\n",
      "39    21323.439768\n",
      "40    21132.913589\n",
      "41    21656.941398\n",
      "42    21958.423366\n",
      "43    21998.566027\n",
      "44     7465.212121\n",
      "Name: Population Staying at Home, dtype: float64\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Level</th>\n",
       "      <th>Date</th>\n",
       "      <th>State FIPS</th>\n",
       "      <th>State Postal Code</th>\n",
       "      <th>County FIPS</th>\n",
       "      <th>County Name</th>\n",
       "      <th>Population Staying at Home</th>\n",
       "      <th>Population Not Staying at Home</th>\n",
       "      <th>Number of Trips</th>\n",
       "      <th>Number of Trips &lt;1</th>\n",
       "      <th>...</th>\n",
       "      <th>Number of Trips 5-10</th>\n",
       "      <th>Number of Trips 10-25</th>\n",
       "      <th>Number of Trips 25-50</th>\n",
       "      <th>Number of Trips 50-100</th>\n",
       "      <th>Number of Trips 100-250</th>\n",
       "      <th>Number of Trips 250-500</th>\n",
       "      <th>Number of Trips &gt;=500</th>\n",
       "      <th>Row ID</th>\n",
       "      <th>Week</th>\n",
       "      <th>Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>21061</th>\n",
       "      <td>County</td>\n",
       "      <td>2021-06-06</td>\n",
       "      <td>56.0</td>\n",
       "      <td>WY</td>\n",
       "      <td>56045.0</td>\n",
       "      <td>Weston County</td>\n",
       "      <td>1268.0</td>\n",
       "      <td>5659.0</td>\n",
       "      <td>22471.0</td>\n",
       "      <td>4160.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1558.0</td>\n",
       "      <td>5723.0</td>\n",
       "      <td>2202.0</td>\n",
       "      <td>3930.0</td>\n",
       "      <td>1160.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>56-56045-20210606</td>\n",
       "      <td>23</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22762</th>\n",
       "      <td>County</td>\n",
       "      <td>2021-06-06</td>\n",
       "      <td>5.0</td>\n",
       "      <td>AR</td>\n",
       "      <td>5011.0</td>\n",
       "      <td>Bradley County</td>\n",
       "      <td>1780.0</td>\n",
       "      <td>8983.0</td>\n",
       "      <td>25022.0</td>\n",
       "      <td>3411.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4321.0</td>\n",
       "      <td>3343.0</td>\n",
       "      <td>1793.0</td>\n",
       "      <td>1383.0</td>\n",
       "      <td>690.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>05-05011-20210606</td>\n",
       "      <td>23</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22763</th>\n",
       "      <td>County</td>\n",
       "      <td>2021-06-06</td>\n",
       "      <td>5.0</td>\n",
       "      <td>AR</td>\n",
       "      <td>5013.0</td>\n",
       "      <td>Calhoun County</td>\n",
       "      <td>571.0</td>\n",
       "      <td>4618.0</td>\n",
       "      <td>17543.0</td>\n",
       "      <td>2166.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>4277.0</td>\n",
       "      <td>1141.0</td>\n",
       "      <td>530.0</td>\n",
       "      <td>425.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>05-05013-20210606</td>\n",
       "      <td>23</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22764</th>\n",
       "      <td>County</td>\n",
       "      <td>2021-06-06</td>\n",
       "      <td>5.0</td>\n",
       "      <td>AR</td>\n",
       "      <td>5015.0</td>\n",
       "      <td>Carroll County</td>\n",
       "      <td>4386.0</td>\n",
       "      <td>23994.0</td>\n",
       "      <td>77047.0</td>\n",
       "      <td>14712.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13170.0</td>\n",
       "      <td>14712.0</td>\n",
       "      <td>4272.0</td>\n",
       "      <td>1227.0</td>\n",
       "      <td>1323.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>05-05015-20210606</td>\n",
       "      <td>23</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22765</th>\n",
       "      <td>County</td>\n",
       "      <td>2021-06-06</td>\n",
       "      <td>5.0</td>\n",
       "      <td>AR</td>\n",
       "      <td>5017.0</td>\n",
       "      <td>Chicot County</td>\n",
       "      <td>1356.0</td>\n",
       "      <td>8762.0</td>\n",
       "      <td>31550.0</td>\n",
       "      <td>9483.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3929.0</td>\n",
       "      <td>3857.0</td>\n",
       "      <td>1380.0</td>\n",
       "      <td>580.0</td>\n",
       "      <td>957.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>05-05017-20210606</td>\n",
       "      <td>23</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Level       Date  State FIPS State Postal Code  County FIPS  \\\n",
       "21061  County 2021-06-06        56.0                WY      56045.0   \n",
       "22762  County 2021-06-06         5.0                AR       5011.0   \n",
       "22763  County 2021-06-06         5.0                AR       5013.0   \n",
       "22764  County 2021-06-06         5.0                AR       5015.0   \n",
       "22765  County 2021-06-06         5.0                AR       5017.0   \n",
       "\n",
       "          County Name  Population Staying at Home  \\\n",
       "21061   Weston County                      1268.0   \n",
       "22762  Bradley County                      1780.0   \n",
       "22763  Calhoun County                       571.0   \n",
       "22764  Carroll County                      4386.0   \n",
       "22765   Chicot County                      1356.0   \n",
       "\n",
       "       Population Not Staying at Home  Number of Trips  Number of Trips <1  \\\n",
       "21061                          5659.0          22471.0              4160.0   \n",
       "22762                          8983.0          25022.0              3411.0   \n",
       "22763                          4618.0          17543.0              2166.0   \n",
       "22764                         23994.0          77047.0             14712.0   \n",
       "22765                          8762.0          31550.0              9483.0   \n",
       "\n",
       "       ...  Number of Trips 5-10  Number of Trips 10-25  \\\n",
       "21061  ...                1558.0                 5723.0   \n",
       "22762  ...                4321.0                 3343.0   \n",
       "22763  ...                3600.0                 4277.0   \n",
       "22764  ...               13170.0                14712.0   \n",
       "22765  ...                3929.0                 3857.0   \n",
       "\n",
       "       Number of Trips 25-50  Number of Trips 50-100  Number of Trips 100-250  \\\n",
       "21061                 2202.0                  3930.0                   1160.0   \n",
       "22762                 1793.0                  1383.0                    690.0   \n",
       "22763                 1141.0                   530.0                    425.0   \n",
       "22764                 4272.0                  1227.0                   1323.0   \n",
       "22765                 1380.0                   580.0                    957.0   \n",
       "\n",
       "       Number of Trips 250-500  Number of Trips >=500             Row ID  \\\n",
       "21061                    166.0                   23.0  56-56045-20210606   \n",
       "22762                     35.0                    0.0  05-05011-20210606   \n",
       "22763                     41.0                    0.0  05-05013-20210606   \n",
       "22764                    132.0                   36.0  05-05015-20210606   \n",
       "22765                     61.0                    4.0  05-05017-20210606   \n",
       "\n",
       "       Week Month  \n",
       "21061    23     6  \n",
       "22762    23     6  \n",
       "22763    23     6  \n",
       "22764    23     6  \n",
       "22765    23     6  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clean_df=df.dropna()\n",
    "clean_df_full=df_full.dropna()\n",
    "clean_df.info()\n",
    "\n",
    "#Convert 'Date' column to datetime\n",
    "clean_df['Date'] = pd.to_datetime(clean_df['Date'])\n",
    "\n",
    "# Remove leading/trailing whitespaces from 'County Name' column\n",
    "clean_df['County Name'] = clean_df['County Name'].str.strip()\n",
    "\n",
    "# Group by 'Week' and calculate average number of people staying at home per week\n",
    "avg_people_staying_at_home_per_week = clean_df.groupby('Week')['Population Staying at Home'].mean()\n",
    "print(avg_people_staying_at_home_per_week)\n",
    "\n",
    "clean_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1048575 entries, 0 to 1048574\n",
      "Data columns (total 22 columns):\n",
      " #   Column                          Non-Null Count    Dtype  \n",
      "---  ------                          --------------    -----  \n",
      " 0   Level                           1048575 non-null  object \n",
      " 1   Date                            1048575 non-null  object \n",
      " 2   State FIPS                      1047674 non-null  float64\n",
      " 3   State Postal Code               1047674 non-null  object \n",
      " 4   County FIPS                     1001723 non-null  float64\n",
      " 5   County Name                     1001723 non-null  object \n",
      " 6   Population Staying at Home      1035625 non-null  float64\n",
      " 7   Population Not Staying at Home  1035625 non-null  float64\n",
      " 8   Number of Trips                 1035625 non-null  float64\n",
      " 9   Number of Trips <1              1035625 non-null  float64\n",
      " 10  Number of Trips 1-3             1035625 non-null  float64\n",
      " 11  Number of Trips 3-5             1035625 non-null  float64\n",
      " 12  Number of Trips 5-10            1035625 non-null  float64\n",
      " 13  Number of Trips 10-25           1035625 non-null  float64\n",
      " 14  Number of Trips 25-50           1035625 non-null  float64\n",
      " 15  Number of Trips 50-100          1035625 non-null  float64\n",
      " 16  Number of Trips 100-250         1035625 non-null  float64\n",
      " 17  Number of Trips 250-500         1035625 non-null  float64\n",
      " 18  Number of Trips >=500           1035625 non-null  float64\n",
      " 19  Row ID                          1048575 non-null  object \n",
      " 20  Week                            1048575 non-null  int64  \n",
      " 21  Month                           1048575 non-null  int64  \n",
      "dtypes: float64(15), int64(2), object(5)\n",
      "memory usage: 176.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df.duplicated().unique()\n",
    "\n",
    "df_USA = df[df['Level'] == 'National'] [['Population Staying at Home', 'Date']]\n",
    "df.info()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Population Staying at Home</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019</td>\n",
       "      <td>63.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020</td>\n",
       "      <td>81.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021</td>\n",
       "      <td>75.58</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Date  Population Staying at Home\n",
       "0  2019                       63.39\n",
       "1  2020                       81.24\n",
       "2  2021                       75.58"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "average = df_USA\n",
    "average['Date'] = pd.to_datetime(average['Date']) \n",
    "average = average.groupby(average['Date'].dt.year)['Population Staying at Home'].mean() \n",
    "average = average.reset_index() \n",
    "average ['Population Staying at Home' ] = average['Population Staying at Home'] / 1000000 \n",
    "average.round(decimals=2) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Trips <1 Mile           46.568052\n",
       "Trips 1-25 Miles       145.079352\n",
       "Trips 1-3 Miles         52.782380\n",
       "Trips 10-25 Miles       33.011216\n",
       "Trips 100-250 Miles      0.978590\n",
       "Trips 100+ Miles         1.731782\n",
       "Trips 25-100 Miles      12.576779\n",
       "Trips 25-50 Miles        9.879876\n",
       "Trips 250-500 Miles      0.261320\n",
       "Trips 3-5 Miles         25.936548\n",
       "Trips 5-10 Miles        33.349209\n",
       "Trips 50-100 Miles       2.696903\n",
       "Trips 500+ Miles         0.491872\n",
       "dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#make a new dataset with the mean values for each column from df2\n",
    "meandata = df_full.mean(numeric_only= True) / 1000000 / 7 # avg per day in millions \n",
    "meandata.drop (['Year of Date', 'People Not Staying at Home', 'Population Staying at Home', 'Trips'], inplace=True)\n",
    "meandata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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y3Z07d0xAQICRZM6cOZPq9bs/dN29e9f6i+9XX31lbZdc6IoPiZ07d7Y5/xEjRth8HdMbuqKiokyfPn2sH2oJ/woVKmQmTpxorl69mmS69C533rx5RpIZN25couFnz541np6eJiAgIMmXua+++spIMnXq1EkyvweFruTeV2XKlDGSzKZNm6zDTp06ZSwWi3Fzc0v0q368P//80/p8pSV0peTmzZvGw8PD5MmTJ8k4R4Wu1P7d/5qmd9/UrVu3JNNcuXLFurz7twFjjNm9e7f1R5OEPvjgA+sXOlvijzJ7eHjY3G5tSRi64o/2JPTHH39Yt4fQ0FDrcHu31ZSkJXT17NnTSDKtW7dONNzW9rJkyZJkA+KDakkpdKUkuX1+/L7yySefTBLIjDFm2LBhRpKZMWNGouHxR0hnz56dquXH/yg3YsQIm+PDwsKMp6enyZMnj806UiM1oev+9UitX375xeb759ixY9Yfi27fvp1o3MWLF42np6fx9vZO9ONB/A8nVapUMffu3UuyrNjYWFOhQgUjKVEITGvoOnjwoLFYLKZAgQI2w70xxrRp08ZISvQj2DPPPGMkmR49eticJv7HQUJX5kHvhciUBg4cqIEDByYZXqJECS1btkx+fn6KiYnRb7/9JknJXoszePBg/fDDD1q/fr3N8f369bM5vH///po9e7a2bNmi2NhYubu727ciqXTs2DH9/PPPOnbsmK5fv67Y2FhJ/3f90OHDh1WuXLl0L2fXrl26ceOGAgMD9dRTTyUZny1bNvXs2VNz5szR+vXr1bt37yRtbE3n7e2txx9/XHv37tXZs2dVuHBhu+rz9PTUK6+8ot69e+vll19Wly5d5OnpmWz7+OskUnr9586dq82bNzv0dcyRI4c+++wzzZgxQ8uXL9fWrVu1Z88enThxQmFhYXrttdf0xRdfaOPGjXZ1pnHjxg399NNP2rt3ry5fvqy7d+9KksLDwyUpyXUfBQoUUNeuXfXVV1/ps88+07Bhw6zj/vvf/0pSivdBS46t11qSypYtq7///jvR9X+bN2+WMUZPPvmkzc45KlSooEqVKiW5XiK1tm7dqs2bN+vMmTO6deuWjDGSJC8vL126dEkRERHKlSuXXfNOSb169fTEE08kO/7nn39OdJ2fJIfsm9q0aZNkWGBgoHLnzq0rV67YHF+yZElJ/1yPk9CqVaskST169LC5rOzZs6t69er68ccftXPnTrVo0cJmO1sqV66sKlWqJBlesWJFVa1aVXv27NGmTZus+xJnbaupFX+9T2rulVStWjW5u7vr008/ValSpdS5c2cFBQU5pA579/nt2rWzWXv89UoJ35Pnz5/Xvn375ObmpsGDB6eqrgdtKwULFlTJkiV18OBBHT161Gm9CHft2jXF8dHR0Vq9erV27typixcvKjo6WsYYXb9+XVLSfWSJEiXUsGFDbdq0Sd9995169eplHffFF1/o3r176t69uwIDA63D45+LLl26yMMj6ddlNzc3NWzYUAcOHNDWrVtVoUIFu9b1xx9/lDFGrVu3Vo4cOWy2adSokX788Udt3bpV7dq1k/R/n399+vSxOU3//v25tiuTIXQhU0r4RSe+Y4TatWurVatW1p3flStXdOfOHUlK0v1vvBIlSkhSsp1DJDdd/PDbt2/rypUraeowIS1iY2M1YsQIzZs3z/ol0paoqCiHLC/+eUhuvaUHP2fJdans7+8vSdbXxF49e/bUW2+9pb1792revHkpfgF70PrEr8udO3ec8joWL15cY8aM0ZgxYyT9c4H3J598ojfffFNnzpzR8OHDrR/cqbVy5UoNHDgwxQu0bW0Po0aN0ldffaX//ve/1i+yf/zxh7Zs2aJ8+fI98EuMLWl5rcPCwiQpxZBZrFixNIeuixcvqkuXLtqyZUuK7aKiopwSumx1Q55QfPfXCTli35Tcc589e3ZduXLF5vj4L2z3d6gQf2+qvn37qm/fvsmtiiTp0qVLKY6/X0r7kuLFi2vPnj3WbSOeM7bV1Lp8+bIkJfpynZwSJUro3Xff1bhx4zRixAiNGDFCRYsWVZ06ddSuXTt169ZNXl5eaVp+evf5aXlPnjlzRpIUFBSkgICAVNUXv600aNDggW0vXbrktNCV0n7k999/V48ePazrZ4ut52/QoEHatGmT5s+fnyh0zZ8/X5KS/NAb/1xMmTJFU6ZMSbHetL5vbC3nk08+0SeffJLq5cS/rx70PQaZB6ELmdKDvug8TCl9MN7v/l6THmTOnDn68MMPlT9/fr3zzjuqW7eu8uXLJx8fH0lS79699dVXX6WpBmdzc3Nup6cWi0Wvv/66WrZsqZkzZ2aa7SA1ihYtqhkzZihXrlwaO3asVq9erdu3b8vX1zdV0589e1Y9evTQ7du3NX78eD399NMqVqyYsmfPLjc3N61evVotW7a0uT3Url1bNWvW1I4dO7Rx40YFBwdbjxwMHTo0zV8OJfte65SOIKTm6ML9nnnmGW3ZskV16tTR9OnTVblyZeXKlct6BLRAgQIKDw/PVO8RR3jQc5+W1yZ+v9SqVSvrjWmTU7Ro0VTPN7Xuf22csa2mto69e/dK+udIXGqMHDlS3bt314oVK7RlyxZt2bJFixcv1uLFixUSEqLNmzen6ehXevf5zt7/xm8rXbt2lZ+fX4ptc+fO7bQ6kttn3rp1Sx07dtSFCxc0cOBAPffcc3riiSfk7+8vd3d3HTlyRKVLl7b5/HXr1k0jR47U2rVrFRYWpkKFCmnPnj36448/VLBgwSRHeOOfi/r161t/JElO+fLl7VzT/1tOlSpVVLly5RTb1qpVy+7lIOMRuuCycufOLW9vb0VHR+vEiROqVKlSkjbxvyAVLFjQ5jxOnjxpc3h817Q+Pj6JPljivwzEn8JwP1td76YkvgvwefPmqX379knGHz16NE3ze5D45yG59ZYe/Jw9DC1atFDTpk21du1azZ49O9nTAgsWLKjjx4/rxIkTNk/tiF+X+C6SH5b4D++YmBhdu3Yt1aFr5cqVun37tjp16qQ33ngjyfgHbQ+jRo1Snz59NHfuXFWuXFlffPGFPDw8Ep3C5Szx28v9t3NIKKVxtty8eVM//vij3Nzc9OOPPypnzpxJxp8/fz6NlTqfI/ZNjlS4cGH9/fffGjx4sMOPIqW0L4l/vQsVKpRkXEZsqz/++KO1G/u0nEKZL18+DRkyREOGDJEk/f333xo0aJC2bduml156SQsXLkz1vB7mPj/+qFh4eLgiIyNTdbSrcOHCOnr0qCZMmKDq1as7rBZH2bRpky5cuKBq1arp008/TTI+pecvW7Zs6t69uz755BMtXLhQkydPtt5Con///kkCbfxp8h06dNCLL77ouJW4T/xy6tWrp7lz56Z6uvjPv1OnTtkMfWnd38L5uE8XXJaHh4fq168vScneeyd+p9y4cWOb4z///HObw+PvQ1S/fv1E53LHf0E6dOhQkmlu3bqV7PUZyYm/x4utX5f/+usv7du3z+Z08eEvrfdLqV69urJnz66rV69qxYoVScbfvn1bixcvlpT8c/awvPHGG7JYLJo9e3ayp240atRI0oNf/wYNGiR6He19/qTUHfmMP+3F29tbjz32WKqXm9L2YIzRl19+meJyu3fvrqCgIC1fvlyvvvqqbt68qU6dOqlAgQIPrDm9GjRoIIvFot27d+vIkSNJxh88eDDNpxZGRkYqNjZW/v7+SQKX9M/7N7nXIz2vcXo5Yt/kSK1bt5Ykm/d5S68//vhDf/zxR5Lhf/31l/bs2WO97uV+D3tbjYyMtJ4G3Lx5c5vXoaVWmTJlrPcTvH8fnZ73eEr7fHvkz59flStXVlxcnM2AYosztxVHiH/+kjvNMrnP9HiDBg2SJC1cuFDR0dHWfaqtMyrin4tvvvnGqUfS45ezYsWKNJ2eHxwcLOmfa9JsSel+isgYhC64tH/961+SpA8++EBr165NNG7BggVasWKFPD09NXr0aJvT7969W2+++WaiYVu2bLGe6hL/IR2vWbNmkv654DvhtRg3b97U0KFDU7yBoS3xFz//97//TXRqYnh4uPr165fsB3f8L8d//fVXmpbn4+Oj4cOHS/rnuUt4ZO7evXsaPXq0zp8/r+LFizv1uorUePLJJ9WtWzddv35d//vf/2y2GT16tDw8PLR8+fIkH7arV6/WvHnzJCnJr5T2Pn/SP18yGzdurO+++87awUVC+/fvt25v93cE8qDlxm8PS5cutXaaIf1zHcjUqVO1devWFGvz9PTUc889p5iYGL399tuSnNspQULFihXTU089pbi4OD333HOJjgZHRkbqueeeS/MXl3z58ilXrly6du1akhuW//7775o4cWKy06bnNXaE9O6bHGno0KEqWrSovvnmG02YMMHmkfrz58/r448/TvO8jTF67rnnEt0IOeHr3aVLF5sd6zysbdUYo59++kk1a9bU0aNHFRQUlOr1XLdunX788Ufdu3cvyTx/+OEHSUnDU2rf42nd59srJCREkjR58mQtW7YsyfiDBw8m+hFx3Lhxypkzp9555x3Nnj3b5j7u5MmTDww3zhL//K1du1YHDx5MNO6jjz7S119/neL0devWVenSpa1H865cuaL69etbO6FJqEOHDqpRo4Z27NihgQMH2vzxLyIiQh9++GG6XreqVauqS5cuCg0NVefOnW0eobp586a++OKLRNePjhw5Uu7u7lqyZIm+++67RO0XL16s5cuX210TnOQh9pQIPFBauv6Nl/AGpPXr1ze9e/c21apVM1Lqb45cvnx506tXLxMcHGy9F9jo0aOTTHf37l3rjQcDAgJM27ZtTevWrU2ePHlMwYIFzaBBg9LUZfzvv/9uvZfUE088Ybp3725atWplfH19Tfny5a33Drn/+Th//rz1viz16tUzAwYMMIMHD7bevyzhOtq6OXJ8d9a+vr6mTZs2pkePHqZIkSJG+ucmjLt27Uqy7kqme/EHLS8l93cZf7+jR48aT09P67Jtdbk/b94862tWrVo107t3b1OvXj1r9+S2bmCcmucvOXv37rXW4+fnZ71hb6dOnazdM+v/dzOc8MawqVnuvXv3zJNPPmmkf26Q2bZtW9O9e3dTtGhR4+npae3O2VZXxPEuXLhgvL29jSRTqVKlFNcludf0Qd1ex79u92+XZ8+eNcWKFbNuR507dzadOnUygYGBpmTJkqZ9+/ZGNm5HkJL4e9RIMrVq1TK9evWyvr59+/ZNttYffvjBSDJeXl6mXbt2ZtCgQWbw4ME2bzxri6NvjpzWfVNy76MHvTbJvaYHDhywvjY5c+Y0DRs2NL179zYdO3Y05cqVMxaLxeTLly/FdU0o4c2RH3/8cZMzZ07TqVMn07lzZ+sNiEuWLJnknkMJpWVbTUn8c1KvXj3rzYh79uxpmjVrZq1F+uf+cSdOnLA5D1vPe/y25+/vbxo1amR69+6d6Ma4AQEBSbrLnzt3rvX927lzZzN48GAzePBg8/fffxtj7N/nJ/eei5fSbUleffVV6/6wTJkypkePHqZ9+/amXLlyNue5ceNG89hjjxlJJm/evKZJkybm6aefNu3atbPeuqVWrVopvSQpSk2X8SmJ7wrdy8vLtGjRwvTs2dOUKVPGWCwW6/24Uuom/fXXX7cuR1KK+/2zZ89a9+t+fn6mbt26pmfPnqZz586mSpUqxt3d3UhK1A29vTdHjv9c9vLyMjVq1DDdu3c33bp1MzVq1LBuM/ffjuPNN99MtH/s3bu3qVGjhpFkxowZQ5fxmQyhC5mKPaHLmH/up9GmTRuTO3du4+HhYfLnz2+6deuW5Cay8RJ+wK5du9Y0bdrUBAQEGF9fX1O9enWzYMGCZJcVERFhRowYYQoVKmQ8PT1NwYIFzdChQ82FCxfsuk/XH3/8Ydq3b2+CgoKMj4+PKVmypBk/fryJiopK8YN206ZNplmzZiZXrlzW0JFw/il9ebt37555//33Te3atU2OHDmMl5eXKVGihBk5cqQJCwuzud4ZEbqMMeb5559PMXQZ888Xma5du5r8+fMbDw8Pkzt3btO2bdskN6VN6EHPX3Lu3btnNm7caKZOnWoaNWpkHn/8cZMtWzbj5eVlChQoYFq1amU++ugjc/fuXbuWe/36dTNp0iRTunRp4+PjY/LmzWs6duxodu3aleKHeUK1atUyksy8efNSbOfo0GXMP/e8GT58uClUqJDx8vIyhQsXNsOHDzdXrlyx3lj1l19+SbGu+y1fvtzUrVvX5MyZ02TPnt1Ur17dvP/++yYuLi7FWj/++GNTrVo1ky1bNuu6pnbf4ojQZUz69k0p1ZXW0GXMP1/s3nzzTVOnTh2TM2dO4+npaYKCgkyNGjXMuHHjktxYNyUJ92kXL140zz77bKLXfNSoUYnueZSc1G6rKbF1TzU/Pz9ToEABExwcbP71r3+ZHTt2pDgPW8/7sWPHzLRp00zTpk1NkSJFjI+Pj8mVK5epVKmSeemllxLdfyxebGysee2110z58uWNj4+PtZ6E87Vnn5+e0GWMMdu2bTO9evUyBQsWNJ6eniYwMNBUrlzZjB8/3pw+fTpJ+wsXLpgpU6aYatWqWT8jChUqZOrWrWtCQkLMH3/8keLzmZL0hq67d++at956y1SsWNFky5bNBAYGmhYtWpjVq1ebkydPPjBonDt3zhqW/Pz8zPXr11Nc3p07d8yHH35oGjdubH0f582b11SpUsUMHz48yf7MntBlzD/bzpdffmnatGlj8uXLZzw9PU3u3LlNhQoVzMCBA813331n83Pl+++/N/Xr1zd+fn4me/bspm7dumbp0qWpei7wcFmMyWJdPgGp0KhRI23cuFHr16+3XhcEZAVHjhxRmTJlFBAQoLNnzypbtmwZXZIk6dq1a3r88ccVGRmpCxcuJLrWDY+mzLqtAoAzcE0XAGQhU6dOtV5nkxFfYnfs2JFk2KVLl9S/f39FRESoXbt2BC5IyvhtFQAeJrqMBwAXt2LFCn3//ff666+/tH37duXPn1/jx4/PkFpq1aqlQoUKqWzZssqdO7fOnj2rvXv36saNGypSpEiaukRG1pOZtlUAeJgIXQDg4vbs2aNPP/1UOXLkULNmzfTOO+/Y7GL9YXj55Ze1du1a7d+/XxEREfLy8lKJEiXUrl07jR071qk3VEXml5m2VQB4mLimCwAAAACciGu6AAAAAMCJCF0AAAAA4ERc05UGcXFxOnfunHLkyCGLxZLR5QAAAADIIMYYXb9+XQUKFJCbW8rHsghdaXDu3DkVLlw4o8sAAAAAkEmEhoaqUKFCKbYhdKVBjhw5JP3zxPr7+2dwNQAAAAAySlRUlAoXLmzNCCkhdKVB/CmF/v7+hC4AAAAAqbrsiI40AAAAAMCJCF0AAAAA4ESELgAAAABwIkIXAAAAADgRoQsAAAAAnIjQBQAAAABOROgCAAAAACcidAEAAACAExG6AAAAAMCJCF0AAAAA4ESELgAAAABwIkIXAAAAADgRoQsAAAAAnIjQBQAAAABOROgCAAAAACcidAEAAACAExG6AAAAAMCJCF0AAAAA4ESELgAAAABwIkIXAAAAADgRoQsAAAAAnIjQBQAAAABOROgCAAAAACfyyOgCAFss0y0ZXUKamBCT0SUAAAAgk+JIFwAAAAA4EaELAAAAAJyI0AUAAAAATkToAgAAAAAnInQBAAAAgBMRugAAAADAiQhdAAAAAOBEhC4AAAAAcCJCFwAAAAA4EaELAAAAAJyI0AUAAAAATpQpQ9eNGzcUEhKiVq1aKTAwUBaLRQsWLEhxmnv37qlcuXKyWCx6++23k4yPi4vTm2++qeLFi8vHx0eVKlXSV1995aQ1AAAAAIB/ZMrQdfnyZc2YMUOHDh1S5cqVUzXNf/7zH505cybZ8ZMnT9aECRPUvHlz/ec//1GRIkXUu3dvLV682FFlAwAAAEASmTJ0BQUFKTw8XKdPn9Zbb731wPYXL17UjBkzNGHCBJvjz549q9mzZ2v48OH66KOPNGTIEK1cuVINGjTQuHHjFBsb6+hVAAAAAABJmTR0eXt7K3/+/Klu/9JLL6l06dLq06ePzfHff/+97t27p+eff946zGKx6LnnnlNYWJi2bduW7poBAAAAwJZMGbrSYseOHVq4cKH+/e9/y2Kx2Gyzd+9e+fn5qWzZsomG16xZ0zoeAAAAAJzBI6MLSA9jjEaOHKkePXqoTp06OnXqlM124eHhypcvX5JQFhQUJEk6d+6czemio6MVHR1tfRwVFeWYwgEAAAA8Mlz6SNeCBQv0559/6o033kix3e3bt+Xt7Z1kuI+Pj3W8La+99poCAgKsf4ULF05/0QAAAAAeKS4buqKiojRx4kSNGzfugWHI19c30RGreHfu3LGOt2XixImKjIy0/oWGhqa/cAAAAACPFJc9vfDtt9/W3bt31aNHD+tphWFhYZKkiIgInTp1SgUKFJCXl5eCgoK0fv16GWMSnWIYHh4uSSpQoIDNZXh7e9s8QgYAAAAAqeWyR7rOnDmjiIgIlS9fXsWLF1fx4sXVoEEDSdKsWbNUvHhxHTx4UJJUpUoV3bp1S4cOHUo0j+3bt1vHAwAAAIAzuOyRrlGjRqljx46Jhl28eFHPPvusBgwYoA4dOqh48eKSpA4dOmjMmDF6//33NXfuXEn/dMLx4YcfqmDBgqpbt+7DLh8AAADAIyLThq65c+fq2rVr1p4FV65caT19cOTIkapWrZqqVauWaJr40wzLly+fKJAVKlRIL7zwgt566y3du3dPNWrU0PLly7V582Z98cUXcnd3fyjrBAAAAODRk2lD19tvv63Tp09bH3/77bf69ttvJUl9+vRRQEBAmub3+uuvK1euXJo3b54WLFigkiVL6vPPP1fv3r0dWjcAAAAAJGQxxpiMLsJVREVFKSAgQJGRkfL398/ocrI0y3TbN7rOrEwIbyMAAIBHSVqygct2pAEAAAAAroDQBQAAAABOROgCAAAAACcidAEAAACAExG6AAAAAMCJCF0AAAAA4ESELgAAAABwIkIXAAAAADgRoQsAAAAAnIjQBQAAAABOROgCAAAAACcidAEAAACAExG6AAAAAMCJCF0AAAAA4ESELgAAAABwIkIXAAAAADiRhz0T3bp1S1u3btVvv/2msLAwXb58WdmyZVOePHlUsWJFBQcH64knnnB0rQAAAADgctIUurZt26YPP/xQS5cu1Z07d2SMsdnOYrGobNmyGjZsmPr16yd/f3+HFAsAAAAAriZVoeuvv/7SuHHj9Msvv8jd3V2NGjVSnTp1VL16deXLl0+BgYG6ffu2rl69qsOHD+v333/XunXrNGrUKE2fPl1TpkzR888/Lw8Puw6sAQAAAIDLSlUKqly5sooWLao5c+aoZ8+eeuyxx5JtGxwcrKFDh0qSNm7cqI8//lj/+te/dP36dU2ePNkxVQMAAACAi0hV6Jo3b5769++f5iNVwcHBCg4OVkhIiMLCwuwqEAAAAABcWapS1ODBg9O1kJIlS6pkyZLpmgcAAAAAuCK6jAcAAAAAJ7IrdIWGhmrdunW6deuWdVhcXJzeeOMN1atXT82aNdOqVascViQAAAAAuCq7uhOcMmWKVq5cqfPnz1uHvfrqqwoJCbE+3rhxo7Zu3aoaNWqkv0oAAAAAcFF2Hen67bff1KxZM3l6ekqSjDGaO3euypQpozNnzmjHjh3y8/PTW2+95dBiAQAAAMDV2BW6Ll68qKJFi1of79u3T5cuXdLIkSNVqFAhVa9eXR07dtTOnTsdVigAAAAAuCK7QldcXJzi4uKsjzds2CCLxaImTZpYhxUsWDDR6YcAAAAA8CiyK3QVKVJEO3bssD5evny5goKCVLp0aeuw8+fPK2fOnOkuEAAAAABcmV2hq0uXLvrtt9/UtWtX9enTR1u2bFGXLl0StTl48KAef/xxhxQJAAAAAK7Krt4LX3zxRa1evVrffvutJKlSpUqaNm2adfzp06e1Y8cOvfTSSw4pEgAAAABclV2hy9/fX7///rsOHDggSSpbtqzc3d0Ttfn2229VvXr19FcIAAAAAC7MrtAVr0KFCjaHFy1aNFHvhgAAAADwqLLrmi4AAAAAQOrYHbrWrFmjNm3aKE+ePPL09JS7u3uSPw+PdB1IAwAAAACXZ1cqWrZsmXr06KG4uDgVLVpUZcqUIWABAAAAgA12JaUZM2bI19dX33//faIbIgMAAAAAErPr9MLDhw+rZ8+eBC4AAAAAeAC7Qlfu3LmVLVs2R9cCAAAAAFmOXaGra9euWrNmjWJiYhxdDwAAAABkKXaFrlmzZilnzpzq0aOHzpw54+iaAAAAACDLsKsjjYoVK+revXv6/ffftXz5cuXMmVMBAQFJ2lksFh0/fjzdRQIAAACAq7IrdMXFxcnDw0NFihSxDjPGJGlnaxgAAAAAPErsCl2nTp1ycBkAAAAAkDXZdU0XAAAAACB17DrSlVBMTIwOHz6sqKgo+fv7q3Tp0vLwSPdsAQAAACBLsPtI19WrVzVkyBAFBASoUqVKql+/vipVqqScOXNq6NChunLliiPrBAAAAACXZNchqatXr6p27do6duyYAgMD1aBBAwUFBen8+fPatWuX/ve//2njxo3atm2bAgMDHV0zAAAAALgMu450zZw5U8eOHdO4ceN0+vRp/fzzz5o/f75++uknnT59WhMmTNDRo0f16quvOrpeAAAAAHApFmNHv+6PP/64ihUrpnXr1iXbpkmTJjp16pROnDiRrgIzk6ioKAUEBCgyMlL+/v4ZXU6WZpluyegS0sSEcHsEAACAR0lasoFdR7rOnTunOnXqpNimTp06OnfunD2zBwAAAIAsw67QFRAQoNOnT6fY5vTp0woICLCrKAAAAADIKuwKXcHBwfrmm2+0Zs0am+PXrl2rb775Ro0aNUpPbQAAAADg8uzqvTAkJESrVq1Sy5Yt1aZNGwUHBytfvny6cOGCNmzYoJ9++knZsmXT1KlTHV0vAAAAALgUu0JX+fLl9csvv2jAgAFatWqVVq1aJYvFovg+OUqUKKEFCxaofPnyDi0WAAAAAFyNXaFLkurXr6+jR4/qt99+0969exUVFSV/f39VrVpV9erVk8XiWr3PAQAAAIAz2B26JMlisah+/fqqX7++o+oBAAAAgCzFro40nOnGjRsKCQlRq1atFBgYKIvFogULFiRqExcXpwULFqh9+/YqXLiw/Pz8VKFCBb3yyiu6c+eOzfl+8sknKlu2rHx8fFSyZEn95z//eQhrAwAAAOBRl6ojXTNmzJDFYtHw4cMVGBioGTNmpGrmFotFU6ZMSVNBly9f1owZM1SkSBFVrlxZGzZsSNLm1q1bGjhwoGrXrq1hw4Ypb9682rZtm0JCQrR27VqtW7cu0emN8+bN07Bhw9SlSxeNHTtWmzdv1qhRo3Tr1i1NmDAhTfUBAAAAQFpYTHzvFylwc3OTxWLRoUOHVKpUKbm5pe4AmcViUWxsbJoKio6OVkREhPLnz69du3apRo0amj9/vgYMGGBtc/fuXe3atUt169ZNNO2MGTMUEhKiX3/9Vc2aNZMk3b59W4ULF1bt2rX1ww8/WNv26dNHy5cvV2hoqHLlypWq2tJy12mkj2W6a10TaEIe+DYCAABAFpKWbJCqI13r16+XJBUpUiTRY2fw9vZW/vz5U2zj5eWVJHBJUqdOnRQSEqJDhw5ZQ9f69et15coVPf/884naDh8+XF988YVWrVqlPn36OG4FAAAAACCBVIWu4ODgFB9nFufPn5ckPfbYY9Zhe/fulSRVr149Udsnn3xSbm5u2rt3L6ELAAAAgNOkq/fCzObNN9+Uv7+/WrdubR0WHh4ud3d35c2bN1FbLy8v5c6dW+fOnUt2ftHR0YqOjrY+joqKcnzRAAAAALK0TNd7ob1mzZqlNWvW6PXXX1fOnDmtw2/fvi0vLy+b0/j4+Oj27dvJzvO1115TQECA9a9w4cKOLhsAAABAFpeq0OXm5iZ3d/c0/3l4PJwDaV9//bVefvllDR48WM8991yicb6+vrp7967N6e7cuSNfX99k5ztx4kRFRkZa/0JDQx1aNwAAAICsL1WpqGHDhom6YM9Mfv31V/Xr109t27bVhx9+mGR8UFCQYmNjdfHixUSnGN69e1dXrlxRgQIFkp23t7e3vL29nVI3AAAAgEdDqkKXrXtlZQbbt29Xp06dVL16dS1ZssTmkbUqVapIknbt2qU2bdpYh+/atUtxcXHW8QAAAADgDC57TdehQ4fUtm1bFStWTD/88EOypwk2adJEgYGB+uCDDxIN/+CDD5QtWza1bdv2YZQLAAAA4BGVKXsvnDt3rq5du2btWXDlypUKCwuTJI0cOVJubm5q2bKlIiIiNG7cOK1atSrR9CVKlFCdOnUk/XNN18yZMzV8+HB169ZNLVu21ObNm/X555/r1VdfVWBg4MNdOQAAAACPFIsxxjyo0YwZM+ybucWiKVOmpHm6YsWK6fTp0zbHnTx5UpJUvHjxZKfv37+/FixYkGjYxx9/rNmzZ+vkyZMqXLiwRowYodGjR6fpWrW03HUa6WOZnjmvIUyOCXng2wgAAABZSFqyQapCl5ubfWchWiwWxcbG2jVtZkToengIXQAAAMjM0pINUnV64fr16x1SGAAAAAA8alIVuoKDg51dBwAAAABkSS7beyEAAAAAuAJCFwAAAAA4UapCl5ubmzw8PHTkyBHrY3d39wf+2bpZMQAAAAA8SlKViho2bCiLxaJs2bIlegwAAAAASFmqQteGDRtSfAwAAAAAsI1rugAAAADAiQhdAAAAAOBEdvd0cf36dX3yySfav3+/zp07p3v37iVpY7FYtHbt2nQVCAAAAACuzK7QtXPnTrVu3VoREREyxiTbjs42AAAAADzq7Dq9cPTo0bp27Zpef/11nTlzRvfu3VNcXFySv9jYWEfXCwAAAAAuxa4jXXv37lXPnj01btw4R9cDAAAAAFmKXUe6AgMDlSdPHkfXAgAAAABZjl2hq2PHjlq3bp3i4uIcXQ8AAAAAZCl2ha7XXntNnp6eevrpp3X27FlH1wQAAAAAWYZd13T5+/vro48+UrNmzbRkyRLlypVL/v7+SdpZLBYdP3483UUCAAAAgKuy60jX2rVrVb9+fV27dk0eHh7y9fWVMSbJH6cfAgAAAHjU2XWka8KECTLG6Ouvv1bXrl25HxcAAAAAJMOu0HXw4EH16dNH3bp1c3Q9AAAAAJCl2HV6YZ48eeTr6+voWgAAAAAgy7ErdD399NP66aefdPv2bUfXAwAAAABZil2ha9q0aapQoYJatWql3377TTdu3HB0XQAAAACQJdh1TVf8qYXGGDVs2DDZdhaLRTExMfZVBgAAAABZgF2hq0GDBvRYCAAAAACpYFfo2rBhg4PLAAAAAICsya5rugAAAAAAqUPoAgAAAAAnSlXoatWqlXbu3GnXAm7evKnXX39d//3vf+2aHgAAAABcWapC16VLl1S7dm01btxY8+fPV2Rk5AOn+f333zVixAgVLVpUM2fOVL58+dJdLAAAAAC4GosxxqSm4cKFCzV9+nSdOnVKbm5uKl26tJ588knly5dPOXPm1J07d3T16lUdPnxYu3bt0vXr1+Xu7q6ePXvqlVdeUZEiRZy9Lk4XFRWlgIAARUZGyt/fP6PLydIs012rd0wTkqq3EQAAALKItGSDVIcu6Z/7cv3444+aP3++NmzYoKtXryZp4+bmpkqVKqlTp0565plnFBQUlPY1yKQIXQ8PoQsAAACZWVqyQZq6jLdYLGrbtq3atm0rSTp06JDCwsJ05coV+fr6Kk+ePCpfvrwCAgLsrx4AAAAAshC77tMVr2zZsipbtqyjagEAAACALIcu4wEAAADAiQhdAAAAAOBEhC4AAAAAcCJCFwAAAAA4EaELAAAAAJyI0AUAAAAATkToAgAAAAAnStd9uvbu3auvvvpKf//9t27duqU1a9ZIkk6fPq3t27erWbNmCgwMdEihAAAAAOCK7A5d48eP1+zZs2WMkSRZLBbrOGOMevfurdmzZ2v06NHprxIAAAAAXJRdpxfOnz9fb7/9ttq1a6c//vhDEydOTDS+WLFiqlmzplasWOGQIgEAAADAVdl1pOv9999X2bJltWzZMnl4eMjLyytJmzJlylhPNwQAAACAR5VdR7oOHjyo5s2by8Mj+cyWL18+Xbx40e7CAAAAACArsCt0eXh46O7duym2OXfunLJnz25XUQAAAACQVdgVuipWrKh169YpNjbW5vj4ngyffPLJdBUHAAAAAK7OrtA1aNAgHTlyRMOGDVN0dHSicVFRURowYIDOnz+vIUOGOKRIAAAAAHBVdnWkMWjQIK1Zs0affPKJvv76a+XMmVOSVLNmTR06dEg3b97UgAED1LVrV0fWCgAAAAAux64jXZL05Zdfat68eSpevLjOnj0rY4x27dqlIkWK6IMPPtCnn37qyDoBAAAAwCXZfXNkSRoyZIiGDBmi27dvKyIiQv7+/nSeAQAAAAAJpCt0xfP19ZWvr68jZgUAAAAAWUq6Q1dcXJwuXLige/fu2RxfpEiR9C4CAAAAAFyW3aHr888/19tvv62DBw8m23W8xWJRTEyM3cUBAAAAgKuzK3S9/fbbmjBhgjw9PdWwYUMFBQXJw8MhZyoCAAAAQJZiV1L6z3/+o4IFC2rr1q0qVKiQo2sCAAAAgCzDri7jL126pC5dujgtcN24cUMhISFq1aqVAgMDZbFYtGDBApttDx06pFatWil79uwKDAxU3759denSpSTt4uLi9Oabb6p48eLy8fFRpUqV9NVXXzmlfgAAAACIZ1foKlWqlCIiIhxdi9Xly5c1Y8YMHTp0SJUrV062XVhYmBo2bKhjx45p1qxZevHFF7Vq1So1b95cd+/eTdR28uTJmjBhgpo3b67//Oc/KlKkiHr37q3Fixc7bT0AAAAAwK7TC8eMGaMXXnhBp0+fVtGiRR1dk4KCghQeHq78+fNr165dqlGjhs12s2bN0s2bN7V7925rL4k1a9ZU8+bNtWDBAg0dOlSSdPbsWc2ePVvDhw/X3LlzJUnPPPOMgoODNW7cOHXr1k3u7u4OXw8AAAAAsCt09e/fXxcvXlTdunX1/PPPq3LlyvL397fZtmHDhmmev7e3t/Lnz//AdsuWLVO7du0SdUvfrFkzlSpVSkuWLLGGru+//1737t3T888/b21nsVj03HPPqXfv3tq2bZvq16+f5joBAAAA4EHs7nIwKipKkZGRmjp1aortkutOPr3Onj2rixcvqnr16knG1axZUz/++KP18d69e+Xn56eyZcsmaRc/3lboio6OVnR0tPVxVFSUo8oHAAAA8IiwK3RNnTpVs2bNUp48edSzZ88M6TI+PDxc0j+nIt4vKChIV69eVXR0tLy9vRUeHq58+fLJYrEkaSdJ586ds7mM1157TdOnT3dw5QAAAAAeJXYlpU8//VSlSpXSzp07lT17dkfXlCq3b9+W9M+piPfz8fGxtvH29rb+m1I7WyZOnKixY8daH0dFRalw4cLprh0AAADAo8Ou0BUREaGePXtmWOCSJF9fX0lKdPpfvDt37iRq4+vrm6p29/P29rYZ1gAAAAAgtezqMr5ixYrW0/sySvypgbbqCA8PV2BgoDUwBQUF6fz58zLGJGknSQUKFHBytQAAAAAeVXaFrsmTJ2v58uXas2ePo+tJtYIFCypPnjzatWtXknE7duxQlSpVrI+rVKmiW7du6dChQ4nabd++3ToeAAAAAJzB7tMLmzdvrrp166pv374pdhnfr1+/dBWYki5dumjhwoUKDQ21Xmu1du1aHTlyRGPGjLG269Chg8aMGaP333/fep8uY4w+/PBDFSxYUHXr1nVajQAAAAAebRZz/zl3qeDm5iaLxZLodL37ewY0xshisdjdZfzcuXN17do1nTt3Th988IE6d+6sqlWrSpJGjhypgIAAhYaGqmrVqsqZM6dGjx6tGzdu6K233lKhQoW0c+fORNdjjR8/Xm+99ZaGDh2qGjVqaPny5Vq1apW++OIL9e7dO1U1RUVFKSAgQJGRkcmGTDiGZbrlwY0yEROS5rcRAAAAXFhasoFdoWvhwoWpbtu/f/+0zl6SVKxYMZ0+fdrmuJMnT6pYsWKSpL/++ktjx47Vli1b5OXlpbZt22r27NnKly9fomni4uL0xhtvaN68eQoPD1fJkiU1ceJEPf3006muidD18BC6AAAAkJk5PXQ9qghdDw+hCwAAAJlZWrKBXR1pAAAAAABSx66ONOKdOnVKX3zxhfbt26eoqCj5+/urSpUqevrpp62n/wEAAADAo8zu0wvnzJmj8ePHKyYmJsn9rzw9PfXmm29q9OjRDikys+D0woeH0wsBAACQmTn99MIffvhBY8aMUUBAgF555RVt3bpVJ0+e1LZt2zRr1iwFBARo7NixWrVqlV0rAAAAAABZhV1Hupo0aaI//vhD+/btU6FChZKMj+/KvXLlylq7dq1DCs0MONL18HCkCwAAAJmZ04907dmzRz169LAZuCSpcOHC6t69u3bv3m3P7AEAAAAgy7ArdN29e1d+fn4ptsmePbvu3r1rV1EAAAAAkFXYFbpKlSqllStXKiYmxub4mJgY/fDDDypVqlS6igMAAAAAV2dX6OrXr58OHz6sli1bJjmFcNeuXWrdurUOHz6s/v37O6RIAAAAAHBVdt2na/To0dq0aZNWrFihmjVrKlu2bMqbN68uXryoW7duyRijDh06ZLku4wEAAAAgrew60uXu7q7ly5drwYIFatSokby8vHTmzBl5eXmpcePGWrhwob777ju5udk1ewAAAADIMuw60hWvX79+6tevn6NqAQAAAIAsh0NRAAAAAOBEhC4AAAAAcKJUn16YLVu2NM/cYrHo5s2baZ4OAAAAALKKVIeuvHnzymKxJBp27do1RUZGqmjRog4vDAAAAACyglSHrlOnTiUZNm3aNM2cOVMnT550ZE0AAAAAkGWk65qu+498AQAAAAASoyMNAAAAAHAiQhcAAAAAOBGhCwAAAACciNAFAAAAAE6U6t4LL168mGTYjRs3JEmXLl2SMcbmdHnz5rWzNAAAAABwfakOXfnz57fZW6ExRvnz57c5jcViUUxMjP3VAQAAAICLS3XoatiwIV3EAwAAAEAapTp0bdiwwYllAAAAAEDWREcaAAAAAOBEhC4AAAAAcCJCFwAAAAA4EaELAAAAAJyI0AUAAAAATkToAgAAAAAnInQBAAAAgBPZFboGDRqkFStWpNjmhx9+0KBBg+wqCgAAAACyCrtC14IFC7Rv374U2+zfv18LFy60Z/YAAAAAkGU47fTCO3fuyMPDw1mzBwAAAACXYHcqslgsNocbYxQaGqqffvpJBQoUsLswAAAAAMgKUn2ky83NTe7u7nJ3d5ckTZs2zfo44Z+Hh4eKFy+uPXv2qGfPnk4rHAAAAABcQaqPdDVs2NB6dGvTpk0qUqSIihUrlqSdu7u7AgMD1aRJEw0ZMsRhhQIAAACAK0p16NqwYYP1/25ubho4cKCmTp3qjJoAAAAAIMuw65quuLg4R9cBAAAAAFkSN0cGAAAAACeyu/fC2NhYLVmyRGvWrNG5c+cUHR2dpI3FYtHatWvTVSAAAAAAuDK7QtfNmzfVokUL/f777zLGyGKxyBhjHR//OLlu5QEAAADgUWHX6YWvvPKKtm3bpunTp+vy5csyxmjatGkKDw/X119/rccff1zdunWzefQLAAAAAB4ldoWub7/9VrVr19bLL7+swMBA6/B8+fKpW7duWr9+vdasWaO33nrLYYUCAAAAgCuyK3SdOXNGtWvX/r+ZuLklOqpVqFAhtW3bVgsXLkx/hQAAAADgwuwKXX5+fnJz+79JAwICFB4enqhN/vz5debMmfRVBwAAAAAuzq7QVbRo0USBqkKFClq3bp31aJcxRmvXrlVQUJBjqgQAAAAAF2VX6GratKnWr1+vmJgYSVL//v115swZ1alTR+PGjVP9+vW1b98+denSxaHFAgAAAICrsavL+CFDhih37ty6dOmSgoKCNGjQIO3du1fvv/++9u3bJ0nq0qWLpk2b5sBSAQAAAMD1WEzCG2yl06VLl3TixAkVLVpU+fPnd9RsM42oqCgFBAQoMjJS/v7+GV1OlmaZ7lr3eDMhDnsbAQAAwAWkJRvYdaQrOXny5FGePHkcOUsAAAAAcGl2XdMFAAAAAEgdQhcAAAAAOBGhCwAAAACcyKVD19GjR9WzZ08VKlRI2bJlU5kyZTRjxgzdunUrUbutW7eqfv36ypYtm/Lnz69Ro0bpxo0bGVQ1AAAAgEeJQzvSeJhCQ0NVs2ZNBQQEaMSIEQoMDNS2bdsUEhKi3bt36/vvv5ck7du3T02bNlXZsmX1zjvvKCwsTG+//baOHj2qn376KYPXAgAAAEBW57Kh67PPPtO1a9e0ZcsWlS9fXpI0dOhQxcXFadGiRYqIiFCuXLk0adIk5cqVSxs2bLB25VisWDENGTJEq1evVosWLTJyNQAAAABkcS57emFUVJQkKV++fImGBwUFyc3NTV5eXoqKitKvv/6qPn36JOo7v1+/fsqePbuWLFnyUGsGAAAA8Oix60jXoEGDHtjGzc1N/v7+Kl26tNq1a6eCBQvas6hkNWrUSG+88YYGDx6s6dOnK3fu3Nq6das++OADjRo1Sn5+fvrtt98UExOj6tWrJ5rWy8tLVapU0d69ex1aEwAAAADcz67QtWDBAlksFkmSMSbJeIvFkmj4yJEjNXXqVL388st2lplUq1atNHPmTM2aNUsrVqywDp88ebJeeeUVSVJ4eLikf45+3S8oKEibN29OcRnR0dGKjo62Po4/ugYAAAAAqWXX6YXHjx9Xu3btlDdvXs2aNUsbN27U33//rY0bN2rWrFnKly+f2rdvr+3bt+ujjz5SgQIFFBISoq+//tqhxRcrVkwNGzbURx99pGXLlmnQoEGaNWuW5s6dK0m6ffu2JMnb2zvJtD4+PtbxyXnttdcUEBBg/StcuLBD6wcAAACQ9dl1pOvrr7/W9u3btX///kTXVJUqVUoNGjTQgAEDVKVKFa1fv17jx49X69atVa5cOb3//vvq0aOHQwpfvHixhg4dqiNHjqhQoUKSpM6dOysuLk4TJkxQr1695OvrK0mJjlbFu3PnjnV8ciZOnKixY8daH0dFRRG8AAAAAKSJXUe6PvnkE3Xv3j1JJxbx8ufPr27duunjjz+WJBUsWFDt2rXT/v377a/0Pu+//76qVq1qDVzx2rdvr1u3bmnv3r3W0wrjTzNMKDw8XAUKFEhxGd7e3vL390/0BwAAAABpYVfoCgsLs3nKXkI+Pj4KCwuzPi5SpIju3Lljz+JsunDhgmJjY5MMv3fvniQpJiZGFSpUkIeHh3bt2pWozd27d7Vv3z5VqVLFYfUAAAAAgC12ha6CBQtq+fLlyYaoO3fuaPny5Yl6LLx48aJy5cplX5U2lCpVSnv37tWRI0cSDf/qq6/k5uamSpUqKSAgQM2aNdPnn3+u69evW9t89tlnunHjhrp16+awegAAAADAFrtC1+DBg3X8+HHVr19fK1as0JUrVyRJV65c0YoVK1S/fn2dOHEiUdfymzdvVuXKlR1TtaRx48YpNjZWDRo00MyZM/X++++rTZs2Wr58uQYNGmQ9dfDVV1/V1atXFRwcrA8//FAvv/yyRowYoRYtWqhVq1YOqwcAAAAAbLEYW32+P0BsbKwGDhyozz//3Np1vJubm+Li4iT904187969tWjRIrm5uenChQt6/fXX1apVK7Vs2dJhxe/YsUPTpk3T3r17deXKFRUvXlz9+/fX+PHj5eHxf32EbNmyRRMmTNCePXuUI0cOde/eXa+99ppy5MiRpuVFRUUpICBAkZGRXN/lZJbplowuIU1MSJrfRgAAAHBhackGdoWueOvWrdNnn32mP/74Q1FRUfL391flypX19NNPq2nTpvbONtMidD08hC4AAABkZmnJBnZ1GR+vSZMmatKkSXpmAQAAAABZml3XdAEAAAAAUiddR7rOnz+v3bt369q1aza7b5ekfv36pWcRAAAAAODS7Apdd+7c0ZAhQ7R48WJr5xn3M8bIYrEQugAAAAA80uwKXS+99JK++OILlSpVSr169VKhQoUS9RYIAAAAAPiHXUlpyZIlKleunHbv3i1vb29H1wQAAAAAWYZdHWlcu3ZNrVq1InABAAAAwAPYFbpKly6tCxcuOLoWAAAAAMhy7Apd48aN0/fff69jx445uh4AAAAAyFLsuqarUKFCatmypWrWrKkXXnhB1apVS/YuzA0bNkxXgQAAAADgyuwKXY0aNZLFYpExRtOmTZPFYkm2bXL37wIAAACAR4FdoWvq1KkpBi0AAAAAwD/sCl3Tpk1zcBkAAAAAkDXZ1ZEGAAAAACB1CF0AAAAA4ESpOr3w8ccfl8Vi0Zo1a1S8eHE9/vjjqZq5xWLR8ePH01UgAAAAALiyVIWuuLi4RB1n3P84OcYY+ysDAAAAgCwgVaHr1KlTKT4GAAAAANjGNV0AAAAA4ER2ha433nhDFy9edHQtAAAAAJDl2BW6Jk6cqMKFC6tr16765ZdfHF0TAAAAAGQZdoWu//3vf6pWrZq+/fZbtWnTRsWKFdPMmTMVFhbm6PoAAAAAwKXZFboGDRqkbdu26cCBAxo1apRu3rypkJAQFS9eXE899ZRWrFihuLg4R9cKAAAAAC4nXR1plCtXTu+++67OnTunr776So0aNdKPP/6oTp06qXDhwnr55Zd14sQJR9UKAAAAAC7HIb0Xenp6qkePHvr111+1ZcsWBQUFKTw8XLNmzVKpUqXUpk0bbd++3RGLAgAAAACX4pDQZYyxHuFq1KiRzp07p6JFi+rll19Wq1at9Msvv6hevXpatGiRIxYHAAAAAC4jVTdHTs6ZM2f0ySefaP78+Tp79qzc3NzUtm1bPfvss2rVqpUsFosk6eDBg2rXrp1mzJihfv36OaRwAAAAAHAFdoWupUuX6n//+5/WrFmjuLg4FSxYUFOnTtUzzzyjggULJmlfrlw59e3bV7NmzUp3wQAAAADgSuwKXd27d5ebm5tatmypYcOGqW3btnJzS/lMxTJlyqh+/fp2FQkAAAAArsqu0DV58mQNGTJERYoUSfU0vXr1Uq9evexZHAAAAAC4LLtC18yZMx1dBwAAAABkSQ7pvRAAAAAAYJvdoSs0NFTPPvusSpQoIV9fX7m7uyf58/BIV+eIAAAAAODy7EpFJ06cUK1atRQREaHy5csrOjpaRYsWlY+Pj06cOKF79+6pcuXKypkzp4PLBQAAAADXYteRrunTpysyMlJr167V/v37JUkDBw7UoUOHdOrUKbVv3143b97U0qVLHVosAAAAALgau0LXmjVr1KZNGwUHB1uHGWMkSUFBQfr6668lSZMmTXJAiQAAAADguuwKXZcvX1aZMmWsjz08PHTr1i3rY29vbzVv3lw//PBD+isEAAAAABdmV+h67LHHdPPmzUSPT506laiNh4eHrl27lp7aAAAAAMDl2RW6SpYsqePHj1sf16xZU7/88otOnDghSbp06ZKWLl2qEiVKOKZKAAAAAHBRdoWu1q1ba/369dYjWS+88IKuX7+uSpUqqUaNGipVqpTOnz+vkSNHOrJWAAAAAHA5doWu5557Ths2bJC7u7skqVGjRlq8eLGKFi2qAwcOKF++fHrvvfc0ZMgQhxYLAAAAAK7GYuK7HcQDRUVFKSAgQJGRkfL398/ocrI0y3RLRpeQJiaEtxEAAMCjJC3ZwK4jXYsWLdIff/yRYpsDBw5o0aJF9sweAAAAALIMu0LXgAEDtHz58hTbfP/99xo4cKA9swcAAACALMOu0JUasbGxcnNz2uwBAAAAwCU4LRXt3btXgYGBzpo9AAAAALgEj9Q2bNKkSaLHCxYs0IYNG5K0i42NVVhYmE6dOqXu3bunu0AAAAAAcGWpDl0JA5bFYtGpU6d06tSpJO3c3NwUGBiobt266d///rcDSgQAAAAA15Xq0BUXF2f9v5ubm6ZNm6apU6c6pSgAAAAAyCpSHboSWr9+vYoVK+bgUgAAAAAg67ErdAUHB9scHhERIUnKlSuX/RUBAAAAQBaS6t4LL126pHXr1uns2bNJxu3cuVNVq1bVY489pscee0wVKlTQ5s2bHVooAAAAALiiVIeuDz74QM2bN9e1a9cSDT9//rxatmyp/fv3y8vLS35+fjp48KBat26t48ePO7peAAAAAHApqQ5dmzZtUunSpVW+fPlEw+fMmaNr166pa9euioiIUGRkpP7973/r1q1b9F4IAAAA4JGX6tB17Ngx1a1bN8nwlStXyt3dXXPnzpWPj48sFotGjRqlatWqad26dQ4tFgAAAABcTZqu6QoKCko07Pr16zp06JCefPJJ5c2bN9G42rVr6/Tp046pEgAAAABcVKpDl6Qk13Pt2bNHxhhVr149SducOXMqNjY2XcUBAAAAgKtLdegqXry4tm7dmmjY+vXrZbFYVLt27STtL168qHz58qW/wgfYs2eP2rdvr8DAQGXLlk0VKlTQe++9l6jN1q1bVb9+fWXLlk358+fXqFGjdOPGDafXBgAAAACpDl3t2rXTvn37NGvWLEVFRWnXrl368MMP5eXlpTZt2iRpv337dj3++OMOLfZ+q1evVp06dXTx4kVNmTJFc+bMUbt27RQWFmZts2/fPjVt2lS3bt3SO++8o2eeeUYfffSRunXr5tTaAAAAAEBKw82Rx48fry+//FJTpkzRlClTJEnGGI0fP16BgYGJ2h4+fFh//vmnZsyY4dhqE4iKilK/fv3Utm1bLV26VG5utvPjpEmTlCtXLm3YsEH+/v6SpGLFimnIkCFavXq1WrRo4bQaAQAAACDVR7oCAwO1bds2DRgwQGXKlFG9evX03nvv6fXXX0/SdtWqVapcubKeeuophxab0JdffqkLFy7o1VdflZubm27evKm4uLhEbaKiovTrr7+qT58+1sAlSf369VP27Nm1ZMkSp9UHAAAAAFIajnRJUsGCBfXJJ588sN3YsWM1duxYu4tKjTVr1sjf319nz55Vx44ddeTIEfn5+alv375699135ePjoz///FMxMTFJOvrw8vJSlSpVtHfvXqfWCAAAAABp6r0wMzl69KhiYmLUoUMHtWzZUsuWLdOgQYP04YcfauDAgZKk8PBwSUrS1X38sHPnzqW4jOjoaEVFRSX6AwAAAIC0SNORrszkxo0bunXrloYNG2btrbBz5866e/eu5s2bpxkzZuj27duSJG9v7yTT+/j4WMcn57XXXtP06dMdXzwAAACAR4bLHuny9fWVJPXq1SvR8N69e0uStm3bZm0THR2dZPo7d+5Yxydn4sSJioyMtP6FhoY6onQAAAAAjxCXDV0FChSQpCT3AsubN68kKSIiwnpaYfxphgmFh4db55Ecb29v+fv7J/oDAAAAgLRw2dD15JNPSpLOnj2baHj8dVp58uRRhQoV5OHhoV27diVqc/fuXe3bt09VqlR5KLUCAAAAeHS5bOjq3r27JCXpTfF///ufPDw81KhRIwUEBKhZs2b6/PPPdf36dWubzz77TDdu3OAGyQAAAACczq6ONM6cOaOcOXOmeLrd9evXFRERoSJFithdXEqqVq2qQYMG6dNPP1VMTIyCg4O1YcMGffPNN5o4caL11MFXX31VdevWVXBwsIYOHaqwsDDNnj1bLVq0UKtWrZxSGwAAAADEs+tIV/HixTVnzpwU27z33nsqXry4XUWl1ocffqhp06Zp+/bteuGFF7R37169++67mjVrlrVNtWrVtGbNGvn6+mrMmDH66KOPNHjwYC1dutSptQEAAACAZOeRLmOMjDEPbONsnp6eCgkJUUhISIrt6tevr99++83p9QAAAADA/Zx2TVdYWJhy5MjhrNkDAAAAgEtI9ZGuGTNmJHq8YcMGm+1iY2MVGhqqxYsXq3bt2ukqDgAAAABcncWk8jxAN7f/OyhmsVgeePpggQIF9N1336lGjRrpqzATiYqKUkBAgCIjI7lnl5NZplsyuoQ0MSHOP50WAAAAmUdaskGqj3StX79e0j/XajVp0kQDBgxQ//79k7Rzd3dXYGCgypQpkyioAQAAAMCjKNWhKzg42Pr/kJAQNW7cWA0bNnRKUQAAAACQVdjVe+GDegsEAAAAAPzDrtAV77ffftOCBQu0b98+RUVFyd/fX1WrVlW/fv1Uv359R9UIAAAAAC7L7tA1ZswYvffee9YONeI719i9e7c++eQTjR49Wu+8847DCgUAAAAAV2RXTxcLFy7UnDlzVLJkSX3xxRc6d+6cYmJiFB4eri+//FKlSpXSnDlztGjRIkfXCwAAAAAuJdVdxidUu3ZtnTt3Tn/++acCAgKSjI+MjFTFihVVoEAB/f777w4pNDOgy/iHhy7jAQAAkJmlJRvYdaTrr7/+UpcuXWwGLkkKCAhQly5d9Ndff9kzewAAAADIMpx2Iy2LxbWOVAAAAACAM9gVusqXL69ly5bpxo0bNsdfv35dy5YtU/ny5dNVHAAAAAC4OrtC17PPPquwsDDVqVNHy5Yt0+XLlyVJly9f1tKlS1W3bl2FhYXpueeec2ixAAAAAOBq7OoyfuDAgdq7d6/mzp2r7t27S5Lc3NwUFxcnSTLGaOTIkerfv7/jKgUAAAAAF2T3fbree+89devWzebNkfv3768GDRo4sk4AAAAAcEl2hy5JatCgAeEKAAAAAFLgtN4LAQAAAABpONJ15swZuxZQpEgRu6YDsipu/AwAAPBoSXXoKlasWJrvvWWxWBQTE5PmogAAAAAgq0h16GrRokWqQ9eRI0d08uRJu4sCAAAAgKwi1aHr559/fmCbsLAwTZ06Vb/++qukf4IaAAAAADzKHNKRRmRkpF566SWVLl1aCxYsUNWqVfXrr7/qp59+csTsAQAAAMBlpavL+Lt37+q9997T66+/rqtXr6pEiRJ65ZVX1KNHD0fVBwAAAAAuze7QtXDhQk2dOlVhYWF67LHH9N5772nYsGHy8EhXjgMAAACALCXNCWnVqlWaNGmSDhw4ID8/P02ZMkUvvviismfP7oz6AAAAAMClpTp0bd++XRMmTNDmzZvl7u6uYcOGKSQkRHnz5nVmfQAAAADg0lIduurUqSOLxaISJUooJCREJUuW1KlTp3Tq1KkUp6tZs2Z6awQAAAAAl5Wm0wuNMTp27Jj69euX6mliY2PTXBQAAAAAZBWpDl39+/d3Zh0AAAAAkCWlOnTNnz/fmXUAAAAAQJbkkJsjAwAAAABsI3QBAAAAgBMRugAAAADAiQhdAAAAAOBEhC4AAAAAcCJCFwAAAAA4EaELAAAAAJyI0AUAAAAATpTqmyPf7+7du1q+fLl27typa9euKTY2Nkkbi8WiTz75JF0FAgAAAIArsyt0nT59Ws2bN9fx48dljEm2HaHLuSzTLRldQpqYkOS3FQAAACCrsit0jRkzRseOHVPfvn01aNAgFSpUSB4edh80AwAAAIAsy66ktG7dOjVt2lQLFy50dD0AAAAAkKXY1ZFGXFycqlat6uhaAAAAACDLsSt01apVS4cOHXJ0LQAAAACQ5dgVul5//XWtW7dOS5cudXQ9AAAAAJCl2HVN16pVq9S4cWP16NFDwcHBqlatmvz9/ZO0s1gsmjJlSrqLBAAAAABXZTEp9fmeDDe31B0gs1gsNu/f5aqioqIUEBCgyMhImyHzYcvKXcazbpkHXf0DAAAklZZsYNeRrvXr19tVGAAAAAA8auwKXcHBwY6uAwAAAACyJLs60gAAAAAApI5dR7ri/fbbb1qwYIH27dunqKgo+fv7q2rVqurXr5/q16/vqBoBAAAAwGXZHbrGjBmj9957T/H9cFgsFhljtHv3bn3yyScaPXq03nnnHYcVCgAAAACuyK7TCxcuXKg5c+aoZMmS+uKLL3Tu3DnFxMQoPDxcX375pUqVKqU5c+Zo0aJFjq4XAAAAAFyKXaHrgw8+UKFChbR9+3b16tVL+fPnl8ViUb58+dSzZ0/9/vvvKliwoN5//31H1wsAAAAALsWu0PXXX3+pS5cuCggIsDk+ICBAXbp00V9//ZWu4gAAAADA1Tmt90KLxbVuAAsAAAAAzmBX6CpfvryWLVumGzdu2Bx//fp1LVu2TOXLl09XcWn16quvymKxqEKFCknGbd26VfXr11e2bNmUP39+jRo1Ktn6AQAAAMBR7Apdzz77rMLCwlSnTh0tW7ZMly9fliRdvnxZS5cuVd26dRUWFqbnnnvOocWmJCwsTLNmzZKfn1+Scfv27VPTpk1169YtvfPOO3rmmWf00UcfqVu3bg+tPgAAAACPJru6jB84cKD27t2ruXPnqnv37pIkNzc3xcXFSZKMMRo5cqT69+/vuEof4MUXX1Tt2rUVGxtrDYHxJk2apFy5cmnDhg3y9/eXJBUrVkxDhgzR6tWr1aJFi4dWJwAAAIBHi93XdL333nvauHGjBgwYoCpVqqhYsWKqUqWKBg4cqI0bN2rOnDmOrDNFmzZt0tKlS/Xvf/87ybioqCj9+uuv6tOnjzVwSVK/fv2UPXt2LVmy5KHVCQAAAODRY/fNkSWpQYMGatCggaNqsUtsbKxGjhypZ555RhUrVkwy/s8//1RMTIyqV6+eaLiXl5eqVKmivXv3PqxSAQAAADyC0hW6MoMPP/xQp0+f1po1a2yODw8PlyQFBQUlGRcUFKTNmzcnO+/o6GhFR0dbH0dFRaWzWgAAAACPmlSFrjNnzkiSChYsKHd3d+vj1ChSpIh9laXClStXNHXqVE2ZMkV58uSx2eb27duSJG9v7yTjfHx8rONtee211zR9+nTHFAsAAADgkZSq0FWsWDFZLBYdOnRIpUqVsj5+EIvFopiYmHQXmZyXX35ZgYGBGjlyZLJtfH19JSnREat4d+7csY63ZeLEiRo7dqz1cVRUlAoXLpyOigEAAAA8alIVuvr16yeLxaKAgIBEjzPS0aNH9dFHH+nf//63zp07Zx1+584d3bt3T6dOnZK/v7/1tML40wwTCg8PV4ECBZJdhre3t80jZAAAAACQWqkKXQsWLEjxcUY4e/as4uLiNGrUKI0aNSrJ+OLFi2v06NGaPn26PDw8tGvXLmv39pJ09+5d7du3L9EwAAAAAHA0l+1Io0KFCvruu++SDH/55Zd1/fp1zZkzRyVKlFBAQICaNWumzz//XFOmTFGOHDkkSZ999plu3LjBDZIBAAAAOJVdocvd3V3Tpk3TlClTkm3z6quvKiQkxGnXdD322GPq2LFjkuHx9+pKOO7VV19V3bp1FRwcrKFDhyosLEyzZ89WixYt1KpVK6fUBwAAAACSnTdHNsbIGJOqdplBtWrVtGbNGvn6+mrMmDH66KOPNHjwYC1dujSjSwMAAACQxTnt9MJLly6l2DOgs2zYsMHm8Pr16+u33357uMUAAAAAeOSlOnQtWrQo0eN9+/YlGSZJsbGxCg0N1aJFi1ShQoX0VwgAAAAALizVoWvAgAHWbuItFou+//57ff/990naxZ9S6Ovrq2nTpjmmSgAAAABwUakOXfPnz5f0T6gaNGiQOnbsqA4dOiRp5+7ursDAQNWpU0e5cuVyXKUAAAAA4IJSHbr69+9v/f/GjRvVqVMntW/f3ilFAQAAAEBWYVdHGvFHvQAAAAAAKUt374WxsbG6fPmyoqOjbY4vUqRIehcBAAAAAC7L7tC1e/duTZo0SZs2bdLdu3dttrFYLE67OTIAAAAAuAK7Qte+ffvUoEEDeXh4qEWLFlq5cqUqV66s/Pnza8+ePbp06ZIaNWqkokWLOrpeAAAAAHApbvZMNHPmTEnS9u3brd3Gd+rUST/99JNOnTqlYcOG6cCBAwoJCXFcpQAAAADgguwKXVu2bFH79u1VtmxZ67CE9+eaO3euChQooEmTJjmmSgAAAABwUXaFrsjISD3++OPWx56enrpx48b/zdTNTY0aNdLatWvTXyEAAAAAuDC7QlfevHkVERFhfZw/f34dPXo0UZs7d+7o1q1b6asOAAAAAFycXaGrXLlyOnz4sPVxvXr1tHr1am3btk2SdOjQIS1ZskRlypRxTJUAAAAA4KLsCl1t27bVpk2bFB4eLkmaMGGCjDGqX7++8uTJo4oVK+ratWtc0wUAAADgkWdX6Bo2bJjOnj2r3LlzS5IqV66stWvXqlWrVnrsscfUrFkzrVy5Up06dXJosQAAAADgauy6T5enp6fy5cuXaFjdunW1atUqhxQFAAAA12OZbsnoEtLEhJiMLgGPCLuOdAEAAAAAUidVR7rOnDlj9wKKFCli97QAXAu/cAIAACSVqtBVrFgxWSxp/zJlsVgUExOT5ukAAAAAIKtIVejq16+fXaELAAAAAB51qQpdCxYscHIZAAAAAJA10ZEGAAAAADgRoQsAAAAAnMiu+3Q1adIkVe0sFovWrl1rzyIAAAAAIEuwK3Rt2LAhxfEWi0XGGDrfAAAAAPDIs+v0wri4OJt/165d07p161SrVi117dpVd+/edXS9AAAAAOBSHHpNl7+/vxo1aqRffvlFO3bs0KuvvurI2QMAAACAy3FKRxo5cuRQ69atNX/+fGfMHgAAAABchtN6L3Rzc1N4eLizZg8AAAAALsEpoevEiRP65ptvVKxYMWfMHgAAAABchl29Fw4aNMjm8JiYGJ09e1ZbtmzRvXv3NGPGjHQVBwAAAACuzq7QtWDBghTHly5dWv/617/0zDPP2DN7AAAAAMgy7ApdJ0+etDnczc1NOXPmVI4cOdJVFAAAAABkFXaFrqJFizq6DgAAAADIkuwKXfc7ceKEIiMjFRAQoMcff9wRswQAAACALMHu3gsjIyM1evRo5cqVSyVLllT16tVVsmRJ5cqVSy+88IIiIyMdWScAAAAAuCS7jnRdvHhRDRo00NGjR5UzZ04FBwcrX758unDhgvbt26f33ntPP/30kzZv3qy8efM6umYAAAAAcBl2HemaOHGijh49qpdeekmhoaFat26dvvrqK61bt06hoaGaMGGCjh49qkmTJjm6XgAAAABwKXYd6Vq5cqWaNGmiWbNmJRnn5+en1157Tdu3b9eKFSvSXSAAAAAAuDK7jnTdvHlTtWvXTrFNnTp1dOvWLbuKAgAAAICswq7QVaFCBZ06dSrFNqdOnVKFChXsmT0AAAAAZBl2ha5JkyZp6dKlWrNmjc3xq1ev1tKlSzV58uR0FQcAAAAArs6ua7oiIyPVokULtWzZUs2bN1f9+vWtvRdu3rxZa9asUbt27RQREaFFixYlmrZfv34OKRwAAMAVWaZbMrqENDEhJqNLAFyeXaFrwIABslgsMsZo9erVWr16dZI2K1eu1A8//GB9bIyRxWIhdAEAAAB4pNgVuubPn+/oOgAAAAAgS7IrdPXv39/RdQAAAABAlmRXRxoAAAAAgNSx60hXvFOnTumLL77Qvn37FBUVJX9/f1WpUkVPP/20ihUr5qASAQAAAMB12R265syZo/HjxysmJkbG/F+vNsuWLdOMGTP05ptvavTo0Q4pEgAAAABclV2nF/7www8aM2aMAgIC9Morr2jr1q06efKktm3bplmzZikgIEBjx47VqlWrHF0vAAAAALgUu450vfPOOwoMDNSePXtUqFAh6/CiRYuqVq1aevrpp1W1alW98847atu2rcOKBQAAAABXY9eRrj179qhHjx6JAldChQsXVvfu3bV79+50FQcAAAAArs6u0HX37l35+fml2CZ79uy6e/euXUUBAAAAQFZhV+gqVaqUVq5cqZiYGJvjY2Ji9MMPP6hUqVLpKg4AAAAAXJ1doatfv346fPiwWrZsmeQUwl27dql169Y6fPgwN1EGAAAA8MizqyON0aNHa9OmTVqxYoVq1qypbNmyKW/evLp48aJu3bolY4w6dOhAl/EAAAAAHnl2Helyd3fX8uXLtWDBAjVq1EheXl46c+aMvLy81LhxYy1cuFDfffed3Nzsmj0AAAAAZBnpSkX9+vXT2rVrdeXKFd27d09XrlzRmjVr1LdvX0fVl6ydO3dqxIgRKl++vPz8/FSkSBF1795dR44cSdL20KFDatWqlbJnz67AwED17dtXly5dcnqNAAAAAJCm0LVt2zY1adJEOXLkkL+/v5o3b64dO3Y4q7YUvfHGG1q2bJmaNm2qOXPmaOjQodq0aZOqVaumAwcOWNuFhYWpYcOGOnbsmGbNmqUXX3xRq1atUvPmzeldEQAAAIDTpfqarj///FNNmzbVnTt3rMPWrl2rrVu3aseOHSpfvrxTCkzO2LFj9eWXX8rLy8s6rEePHqpYsaJef/11ff7555KkWbNm6ebNm9q9e7eKFCkiSapZs6aaN2+uBQsWaOjQoQ+1bgAAAACPllQf6Xr99dd1584dTZ48WefPn9f58+c1ZcoU3b59W2+88YYza7Spbt26iQKXJJUsWVLly5fXoUOHrMOWLVumdu3aWQOXJDVr1kylSpXSkiVLHlq9AAAAAB5NqQ5dmzdvVv369TVz5kzlzZtXefPm1fTp09WgQQNt3LjRmTWmmjFGFy5c0GOPPSZJOnv2rC5evKjq1asnaVuzZk3t3bv3YZcIAAAA4BGT6tB14cIF1a5dO8nwWrVq6cKFCw4tyl5ffPGFzp49qx49ekiSwsPDJUlBQUFJ2gYFBenq1auKjo5Odn7R0dGKiopK9AcAAAAAaZHq0HXv3j1lz549yXA/Pz/du3fPoUXZ4++//9bw4cNVp04d602Zb9++LUny9vZO0t7HxydRG1tee+01BQQEWP8KFy7shMoBAAAAZGVZ4kZa58+fV9u2bRUQEKClS5fK3d1dkuTr6ytJNo9mxXcIEt/GlokTJyoyMtL6Fxoa6oTqAQAAAGRlqe69UJI+//xz/f7774mGHTt2TJLUpk2bJO0tFotWrVqVjvIeLDIyUq1bt9a1a9e0efNmFShQwDou/rTC+NMMEwoPD1dgYKDNo2DxvL29UxwPAAAAAA+SptB17Ngxa8i6388//5xkmMVisa+qVLpz546eeuopHTlyRGvWrFG5cuUSjS9YsKDy5MmjXbt2JZl2x44dqlKlilPrAwAAAIBUh66TJ086s440i42NVY8ePbRt2zZ9//33qlOnjs12Xbp00cKFCxUaGmq9Jmvt2rU6cuSIxowZ8zBLBgAAAPAISnXoKlq0qDPrSLN//etfWrFihZ566ildvXrVejPkeH369JEkTZo0Sd98840aN26s0aNH68aNG3rrrbdUsWJFDRw4MCNKBwAAAPAISdPphZnJvn37JEkrV67UypUrk4yPD12FCxfWxo0bNXbsWL300kvy8vJS27ZtNXv2bK7XAgAAAOB0Lhu6NmzYkOq25cuX1y+//OK8YgAAAAAgGVmiy3gAAAAAyKwIXQAAAADgRIQuAAAAAHAiQhcAAAAAOBGhCwAAAACciNAFAAAAAE5E6AIAAAAAJyJ0AQAAAIATEboAAAAAwIkIXQAAAADgRIQuAAAAAHAiQhcAAAAAOBGhCwAAAACciNAFAAAAAE5E6AIAAAAAJyJ0AQAAAIATEboAAAAAwIkIXQAAAADgRB4ZXQAAAM5kmW7J6BLSxISYjC4BAOBgHOkCAAAAACcidAEAAACAExG6AAAAAMCJCF0AAAAA4ESELgAAAABwIkIXAAAAADgRoQsAAAAAnIjQBQAAAABOxM2RAQBwUdz4GQBcA0e6AAAAAMCJCF0AAAAA4ESELgAAAABwIkIXAAAAADgRoQsAAAAAnIjQBQAAAABOROgCAAAAACcidAEAAACAExG6AAAAAMCJCF0AAAAA4ESELgAAAABwIkIXAAAAADgRoQsAAAAAnIjQBQAAAABOROgCAAAAACcidAEAAACAExG6AAAAAMCJCF0AAAAA4ESELgAAAABwIkIXAAAAADgRoQsAAAAAnIjQBQAAAABOROgCAAAAACcidAEAAACAExG6AAAAAMCJPDK6AAAAACCzs0y3ZHQJaWJCTEaXgAQ40gUAAAAATkToAgAAAAAnemROL4yOjtbUqVP12WefKSIiQpUqVdIrr7yi5s2bZ3RpAJChXO2UGYnTZgAAruWROdI1YMAAvfPOO3r66ac1Z84cubu7q02bNtqyZUtGlwYAAAAgC3skjnTt2LFDixcv1ltvvaUXX3xRktSvXz9VqFBB48eP19atWzO4QgAAAABZ1SMRupYuXSp3d3cNHTrUOszHx0eDBw/WpEmTFBoaqsKFC2dghQAyO1c7BY/T7wAAyDweidML9+7dq1KlSsnf3z/R8Jo1a0qS9u3blwFVAQAAAHgUPBJHusLDwxUUFJRkePywc+fO2ZwuOjpa0dHR1seRkZGSpKioKCdUaYc7GV1A2qTpeWPdMg3W7f9j3TKVrLx+rNs/Al4LcGIljhc5MTL1jbPw68a6ZR6835wv/jk25sFnl1hMalq5uBIlSqh06dL68ccfEw0/ceKESpQooXfffVcvvPBCkummTZum6dOnP6QqAQAAALia0NBQFSpUKMU2j8SRLl9f30RHrOLduXPHOt6WiRMnauzYsdbHcXFxunr1qnLnzi2LxbWu70itqKgoFS5cWKGhoUlOx3R1rJtrYt1cU1ZeNylrrx/r5ppYN9fEurk2Y4yuX7+uAgUKPLDtIxG6goKCdPbs2STDw8PDJSnZJ8rb21ve3t6JhuXMmdPh9WVG/v7+WfYNwrq5JtbNNWXldZOy9vqxbq6JdXNNrJvrCghI3amZj0RHGlWqVNGRI0eSnNu6fft263gAAAAAcIZHInR17dpVsbGx+uijj6zDoqOjNX/+fNWqVYvu4gEAAAA4zSNxemGtWrXUrVs3TZw4URcvXtQTTzyhhQsX6tSpU/rkk08yurxMxdvbWyEhIUlOq8wKWDfXxLq5pqy8blLWXj/WzTWxbq6JdXt0PBK9F0r/dJoxZcoUff7554qIiFClSpU0c+ZMtWzZMqNLAwAAAJCFPTKhCwAAAAAywiNxTRcAAAAAZBRCFwAAAAA4EaELAAAAAJyI0AUAAAAATkToAgAHoV8iAABgC6ELLik2NjbJsKzyhTcuLi6jS3CqrPI63S82NlYWi0WSdPv27QyuxvHu3y6zyut4/74kq6xXvKy2PvESvm5ZcZ+ZFddJsv3ZnZVk1ddNSrovyar7FmcidGVRWXnHFhsbK3d3d0nSp59+qsWLF0uS9QuvK4uNjZWb2z9vy+PHjysiIiKDK3KshMHk8uXLunfvXgZX5BgxMTHWbXLq1KmaMWOGdu3alcFVOU7C7fLQoUMyxmSZ91v86/b999/rzz//zBLrFS/h++3WrVsZXI3jJHy/zZo1S++8847CwsIyuCrHSfh+O3/+vGJiYjK4IsdI+H5btmyZfv755wyuyLESvm4bNmzQsWPHMrgix0m4Lzlz5oykrPGd62HzyOgC4HgxMTHy8Pjnpd2yZYsiIyPl6emp4OBgl78reMKddrdu3bRr1y4VK1ZMzZo102OPPZbB1aVPwnV79tln9eeff2rQoEHq37+/PD09M7i69Eu4fmPGjFF4eLj69u2rNm3auPTOOy4uzvp+a9++vXbt2qVGjRqpQIECGVyZY9jaLlu3bq0pU6ZkcGXpk3C9evXqpd9//12lS5fWt99+q2zZsmVwdemXcP1eeuklXblyRSNGjFDlypUzuLL0Sfh+69Chg3bu3Klq1aqpb9++GVyZYyR83UaOHKkDBw5o3Lhxat26tUvvJxOuV48ePbR7925VrlxZtWrVUq5cuTK4uvRLuH59+/bVnj179OSTT+qjjz6Sj49PBleXPvdvkydPnlS7du00bNiwDK7M9RC6spiEH0g9evTQpk2bdPHiRVksFjVu3FjPPvusunbtmsFV2i/+jd+1a1dt375dM2bMUJs2bayBy1V/gTfGWNetbdu2+vPPP9W1a1c1b948SwSuuLg46/q1a9dO+/fvV4sWLVSpUiWXfL0Siv9lc+DAgdq5c6fmzJmjpk2bKnfu3BlcWfol3C7bt2+v3bt3a+jQoerTp0+Sdq72OsavV6dOnbRz505NmTJFbdu2tQYuV1yneAnfb0899ZT279+vmjVrKjAwMIMrS7/491vfvn21c+dOvfvuu2ratKnL/+gmJX7d2rZtqwMHDqhly5YqW7asy26L8RK+33bv3q2JEyeqU6dOWSJwSf+3fh06dNDu3bv1r3/9S127drUGLlfdn9y/L9mzZ4+efvpptW7dOoMrc1EGLisuLi7ZcT169DB58+Y1//73v826devMunXrjK+vrylXrpzZtm3bQ6zS8b777juTM2dO8/HHH5uoqChjjDF37941sbGx5sCBAxlcXfq89NJLJigoyCxZssRERkYmGpfS6+0qnn/+eRMUFGS++eYbExERkdHlOMz+/ftNkSJFzKuvvmru3LljjDHmxo0b5uzZs+bbb781GzZsyOAK02f8+PEmT548ZunSpUm2S1f24Ycfmly5cpkvv/zSXL9+3RhjTGxsrDHGmCtXrmRkaQ4xZMgQU6BAAbNkyZIs9X7bunWrKVCggHn33XfN7du3jTHG3Lp1y0RERJi1a9eaQ4cOZXCF6fPCCy+YggULmq+//jpLvd8WLVpkcubMaRYsWGBdr5iYGGOMMSdPnszAyhxj9uzZJleuXGbx4sXW7ybx7n/sakaNGmXy5s1rli5daq5du2azTfy+E8njSJcLu3Llis1f9zZv3qzff/9d06dPV9++feXn56e9e/cqJiZGwcHBKlas2MMv1oHOnDmj27dvq3PnzsqRI4fOnz+vBQsW6JtvvtFff/2lpk2baubMmapWrVpGl5omd+/e1W+//aZatWqpU6dO8vDw0NWrV3XgwAEtW7ZM2bNnV3BwsFq0aJHRpdolPDxc69evV9euXdWxY0d5eHgoKipKoaGhWr16tQIDA9WsWTMVLFgwo0tNs3v37unSpUvKmTOnvL29derUKb3xxhtasWKFwsPD5evrq/79++v999/P6FLT7Pr169qxY4caNmyo9u3by9PTU1euXNG+ffv0ww8/6M6dOxo9erTKlCmT0aWm2ZEjRxQQEKBOnTrJx8dHFy5c0PLly/XNN9/o6NGj6tevn5577jmXPFX0xIkTWrNmjfr3768OHTrIy8tLN27c0OXLl7Vu3ToVLVpUlStXdskjRJGRkbp48aKKFi0qHx8fhYaG6t1339V3332n06dPq0CBAhoxYoReeumljC41za5fv66NGzeqWbNm6tChg7y9vRUREaHjx49r+fLlKliwoKpXr64aNWpkdKlpduzYMbm5ual3797y9PTUhQsX9M0332jJkiU6duyYWrZsqdmzZyswMNDljgwZY/Tnn3+qcOHC6tGjhyTp0qVLWrNmjZYuXarQ0FA988wzGjJkiEutlyRdvHhRv/32m9q3b68OHTrIw8ND165d05EjR7RmzRrFxcVpzJgx8vPzc7nX7aHL4NAHO3399demSpUqNo9affXVV8bPz8/8/fffxhhjPcrVu3dvExYWZm3nar+gxf+K8ssvvxiLxWLGjh1rPvjgA1O8eHFTsGBB06xZMzNp0iSTO3du07Vr1wyuNm3i4uJMRESEqVKliunQoYM5f/68OXjwoGnTpo3JkyePyZYtm/Hz8zMFChQwW7Zsyehy7XL69GmTP39+M2bMGGOMMcePHze9evUyefPmNRaLxbi7u5u6deua8+fPZ3ClaXf69GlTrFgxU6JECdO1a1eTK1cuU6ZMGTNs2DCza9cu06lTJ1OoUCGza9eujC41zW7dumWqV69u6tWrZ4wxZt++faZVq1Ymb968JiAgwPj5+ZkiRYqYM2fOZHClaffaa68Zi8Vili9fbr777jtTqVIlkz9/flO1alXToUMHY7FYzFtvvZXRZdpl3759xtvb27z77rvGmH+20UGDBpmgoCBjsViMl5eXefrpp5P91Toz+/vvv0327NlNrVq1zLBhw0zevHnNE088Yfr162dWr15tqlSpYipUqOBy22RcXJwJCwszefLkMcOHDzfR0dHm2LFjpkuXLiZv3rzGzc3NWCwWU7NmTXPw4MGMLjfV4j+7P/30U+Pm5mbefvtts2zZMlO2bFkTFBRkatWqZfr06WM8PDzM8OHDM7ha+40ePdpkz57d7Nixw2zYsMHUrFnT5M2b15QoUcI8+eSTxmKxmC+++CKjy0yzK1eumJIlS5ru3bsbY4w5dOiQ6dy5s8mTJ4/x8PAwFovFlC1b1ty4cSODK838CF0u6r333jOFChUywcHBZvv27caY/zv9bNGiRSZbtmzm1q1bZteuXcbX19c8/fTT5ty5c9bp3333XTN27NhMfTg4/rSD+128eNGMHj3aBAQEGDc3N9O5c2ezZMkS6/jnnnvO5MuXL1OfHpTc8z59+nRjsVisX4yefPJJ88orrxhj/gmbOXLkMLNnz36YpdrF1qmQcXFxpk2bNsbb29tUq1bNeHp6mooVK5rx48ebyMhIM3PmTOPv72++++67h19wKt2/TcbFxVmHbdu2zTRs2NCUK1fOjBgxwmzatMnabuHChcbb29vs3r37odabVra2y7t375rZs2ebbNmymfz58xtPT09TvXp18+qrr5obN26Y9evXGz8/PzNp0qQMqDh1ktuXHDhwwDRu3Nj6ZbZ58+bmk08+sY5v0qSJqVatmvWU0czK1vstNjbWVK9e3eTIkcO0aNHC+Pr6mrJly5qRI0ea0NBQM2TIEBMQEGB27NiRARWnTnKvmzHGrFq1yjz++OOmUKFCZvDgwWb16tXWcXPnzjU+Pj7m8OHDD6NMuyV3yvjw4cOtX2QtFoupVKmSmTRpkrl3755ZtGiRsVgsZvHixQ+52tRL7nU7ePCg6dixo/H29jYWi8W0adPGfPbZZ9bxHTt2NGXKlDE3b97M1KfTJ/f5/csvv5hy5cpZ9yfBwcHm/fffN8YYc+HCBVOpUiXTsmVLExsbm2nXz1ZdN27cMMOHDzc5cuQwpUuXNj4+PqZKlSrm5ZdfNleuXDHz58833t7eZu7cuRlQsWvh9EIXNXLkSPn6+ur111/X2LFj9c4776hmzZqSpFq1aikoKEjt27fX1q1b1b17d82YMUNBQUGS/umK/IcfflDu3Ll18+ZN5ciRIyNXxaaEPTB+9dVXCgsL061bt9SzZ0+VLl1as2fP1qhRo3T58mXrekvS2bNnFRoaqmrVqmXaHsgSrtuVK1d07do15cqVS4GBgZo6dary5s2r48ePq1ixYmrXrp2KFi0qSSpSpIh8fX3l5eWVkeU/UMKeju7evavbt2/L29tbPj4+WrFihYYPH67w8HC1b99enTp1UqVKlSRJwcHBmjVrVqY9NSHher3yyis6cOCArl69qmrVqmno0KGqXbu2Vq5cqdjY2EQXh589e1Y7duxQyZIl5e/vn1HlP1DC7fLs2bO6e/eusmXLpnz58mnQoEHKly+fNmzYoAoVKqhdu3YqUaKEJMnHx0fZsmWzbqeZTcL1Wrduna5evSqLxaI2bdqofPnyWrx4sbZv3y53d3c1bNhQ2bNnl/TP6Xk3b95U1apVM3Wvrwm3S0mKjo6Wt7e33Nzc9Msvv2jAgAG6cuWKhg8frm7duln3l926ddP8+fMzbVfyCdfr3Xff1d9//62oqCg1bNhQHTp0UJs2bfTkk08qJiYm0SnJoaGh2rVrlypUqGB9LTOjhNvlnTt3dO3aNeXJk0fu7u6aO3eu8ubNqyNHjqh///7q2LGjSpcuLUmqXLmy/Pz8Mu39oBKu148//qgLFy4oJiZG3bp1U9myZfXxxx/r9OnTioqKUv369a0dRYWFhSkqKkqVK1eWj49Ppv0cSLh+O3fu1I0bN2SxWNSoUSO1aNFCX375pfbt2ydfX181a9bM2nlNVFSU4uLiVL58eWtnMJlNwnWLiIhQbGysPDw8lDNnTk2aNEkFChTQ7t271a9fP3Xo0EHly5eXJBUtWlReXl7KkydPRpbvGjI69SH1FixYYP773/8mGvbRRx+ZJ554wtSrV896xCs6Oto899xzxs3NzZQuXdqcPn3a2j40NNRMnjzZ5MuXz3zzzTcPtf7USvgrUvv27U2ePHlMQECACQwMNAEBAWby5Mk2L7o9fvy4CQkJMTly5DALFix4iBWnXsJfAAcPHpzol8z40+6MMebevXuJpjtz5oyZOnWqyZs3r1m/fv3DKjfNEq7fmDFjTMOGDU3BggVNp06dEv0yG3/xe7zQ0FAzfvx4U7Ro0Ux5NCjhr3+tW7c2OXPmNHXr1jV16tQxQUFByR4xOHjwoBk/frzx8fEx77333sMsOU0Svm5Dhw41ZcuWNQEBAaZQoULmvffeM+Hh4TanCwsLMyEhIaZgwYKZcrtMuC/p2rWryZcvn/Hw8DAeHh6mRo0a5rPPPjPR0dFJpjt9+rSZPn26yZUrl/n6668fZslpkvB1mzx5smnTpo0pW7asGT16tPXIT/ypywmFhoaa0aNHmyeeeCJTdjph6/1Wrlw5U6pUKfPYY4+ZChUqmGPHjiWZ7vDhw2bixInGz8/PeoQhM0r4ug0fPtxUq1bN+Pj4mObNmyc6k+HWrVuJpgsNDTWTJk0yQUFB1s/7zCTh+61Tp04mX758xsvLy2TLls0ULlzYfPzxx+bSpUtJpjtx4oSZNm2a8ff3z9Sn3yV83Xr27GkKFSpk3NzcjKenp2nXrp3ZtGmTzaN88fuT3LlzZ9ozORLWPXLkSFOzZk1TqFAhU7VqVbNs2bJkpwsLCzMvv/yyKVq0qNm6devDKNWlEbpcRFRUlOnYsaOxWCxm3759id4g8+bNswav+I3++vXr5qmnnjK+vr6mcePGZtWqVebDDz80Tz/9tPHw8Mh01ynYOlw/ePBgkz9/fjN//nxz9OhRc/v2bVOvXj3j5+dnli5dmuiD+csvvzTBwcHG39/fvPbaa9bhmfUQfvv27U2+fPnM8OHDzbx580yvXr2MxWIxXbp0SfJcbNiwwYwcOdJ4e3ubN998M4MqTpu2bduaxx57zHTp0sUMGzbMVK9e3VgsFuv1JQnt3r37/7V31gFVXv8fvw/d3S1IowKKgq3o7NaZCDJjomLNmIE1u9AZGDM3Y3ZOmQpiwYwZGGPYBQgmKnXv+/cHv+d8n+cGohPucy/n9c/Gc8Nz7sn3ifcHo0ePhq6uruCPTnIXLN6/fw8AiIuLA8MwmDRpEoqKish7Fy1aBFdXV9jZ2fHam1DrJAB06NAB1tbWGDVqFBYuXIjvvvsODMNg0KBBePr0Ke+9SUlJGDp0KHR0dARRL9nfVd7v27t3b9ja2mLFihU4d+4cLl++DHNzc7i7u8s4S+7evRtdunSBgYEBry8RGtLCxMrKCuHh4ejevTvc3NxgbGyMLVu2yHzu+vXrGDduHPT19bFs2bLKTPJnM2bMGNja2vLcFwcPHgyGYTBz5kxeX7lixQr4+fnBysqKVx+F3N7atWsHGxsbREREYPbs2WjYsCFpb9KcP38eY8aMgZ6enqD6SXljd0REBOzs7LB69Wpcv34dN2/ehL+/v9xFw127dqFdu3YwMjISdHvj0r17d9jY2GD+/Pk4evQoduzYAX19fdSrVw/Xrl3jvffw4cPo3bs39PX1VSJ/7dq1g6WlJaKiojBmzBh88803YBgGs2bNkrn/eeHCBYwYMQI6OjpYtGiRklKsWlDRpULcunULBw4ckPsaV3ixRgvv3r3D2LFj4e3tDU1NTejo6KBOnTq83TJl3+m6ceMG+X9uWu7fvw8vLy/MnDmTWDmfPXsWRkZGiI6OxuPHj8l7nzx5goiICLRp04Z3PlzZeVP07//222+wsbHBli1biJnJ7t27oaGhgf79+/Puoh05cgQMw6B69eq8nRJl560slixZAhsbG+zcuZPY5CYkJIBhGAwZMoR32Xb9+vXQ1dWFi4sLlixZQp4rc6J0/PhxuTupEokEbdq0Qc+ePUm+zp49C319fQwcOFDmM8ePH0dUVBSvzQqh3NgFG+m0bNq0CY6Ojvjtt9/ITuSJEyeIaQ13t+T333+Hl5cX3N3dBVMvuXdWufUnNTUVbm5u+Pnnn0ndu3TpEnR1dTFkyBDe565evYrw8HDUrVsX69evJ8+FUG6KmDVrFmxsbLBr1y4yKWINQkaMGEHKUiKRYMOGDbCwsIC9vT1vkqTM9paSkiL3933//j0aNWqEwYMHkzHg/PnzMDAwwKBBg/DgwQPe+zds2IBvv/0Wu3fvJs+EXG4JCQmwsbHBtm3bSLlt3boVDMNg4MCB5FlJSQn2798PbW1tuLi48BaulJm/e/fuyU1Heno63NzcsHDhQtJPJicnw9DQEFFRUbzFm3/++QdNmjRBkyZNsHHjRrnfpywU3Qk/efIknJycsG7dOlIvT58+DS0tLQwePBjZ2dnkvSkpKahZsyYCAwORkJBAnis7f4oWqFauXElC1rD9xu+//w6GYTB27Fie7f369evh6uoKV1dXxMfHy3w3RT5UdAkYdnIkb7u6S5cu+Pnnn3nP5AmvoqIiZGdnIykpCenp6Tw3J2U3/KNHj8LS0pK3Ksmm6eLFi9DR0SFmBCdPnpRrCMIOvM+fP+e53ik7b7/88gsWLVokc4wOACZNmoTq1auTnZKTJ0/CwMAA/fv3l+u2tX37dt62vbLzBpSm6eTJk3I72AEDBqBx48Ykf8nJyTAwMMCAAQN4R10BIDc3FzNnzsSff/5Jnikzf/fv3yeGCtJpffv2Ldzc3DBhwgQApTs9BgYG6NOnD69O/vbbb+RvbvkLodx+++03TJw4kYgPbpomTpwILy8vMmlgXU/79esnUy+fPHmCrVu3IjU1lTxTZv527doFHx8fXj1i2b9/P/T19UkMP66bK3cCyC6ApKen4+7du+S5EMptz549ChcCunTpgo4dO5KjaOwENzo6WkaYXLp0CePHj8fRo0fJM2Xm78aNG2AYBv3795dJR1ZWFqysrIg45JYbt70dPnyYLAiwk2BAGOW2ceNGhUezvv/+ewQHB5NyO3HiBAwNDdG/f3+ZvufVq1dYs2YNb1dWmfnbuXMnPDw8sG3bNvKMHQsSExOhpaWFmzdvAvjf+Na3b19ee2P7oMzMTEHNS4BSM7JvvvlG7lH3DRs2wNTUlJQRt5/kukOznD17lneEV9n5+/XXX7Fu3TpyrJo7hg8dOhS1a9fGy5cvAZT2Jfr6+oiMjJSpk//++y8WL16M06dPk2fKzpsqQEWXQGEbwosXL7B69Wpep/T06VO0b98eWlpa2LBhA+9z8o4alvX9yuTq1ato2LAhqlevztvlAEpXwHR1dbFv3z5cu3ZN7mC7bt061KlTB7m5ubzPKjtvHz9+RP/+/cEwDFauXCkjvH744QcEBAQA+J8gkRaTK1eulBHVgPLzBpROAHx9fWFjY4OUlBRemiQSCVq3bo0OHToAUJy/NWvW4NSpU+Qz3M8rk4KCAuzcuROWlpZo3749b6D58OEDGjZsiN69e+Pw4cNkEYA7kThx4gS8vb1x+PBhZSS/TMRiMZo2bQozMzPMnDmTiGL2/mBERATq1KkDoHSFVt4ix7x584iwEVK5bd68GdWqVUO9evVw4sQJ3mv79++Hjo4OsrKycOXKFbn5WrZsGQYMGCAzaVB2voDS+5xWVlbw9PSUEb8fP35ESEgIBg8eDOB/E0Dp/G3btg3Xr18HwL8vquxJUnZ2NubNmwcDAwN89913vPTk5uaievXqmDhxosL6eOjQIdSsWVOQd0levnyJZs2agWEYHDp0SOb1fv36oWXLlgD4woSbvw0bNsi9A6Tsenn27Fk4ODigdu3aMnceL168CC0tLVy4cAGXLl2SuzAVHx+PBg0ayNynVHa+WBYsWAB9fX1069YNV65c4b22fv16GBoaorCwEH/99Zfcejl79mzeHW0WZeevpKQErq6uMDExwZYtW8jvzy7st2nThtTJ06dPy62Tc+fOxd9//w2A338oO2+qAhVdAub169cwMjICwzCYPXs27zJ7RkYGIiMjoaGhwbM4Bv4nvBo3biw3jpey4e7cpaenIzw8HG5ubjzh9erVK3To0AHu7u7Q09NDVFQUbxXp/v376N+/P5o1a8brEIRCVlYWYmJioKWlheXLl/OE15IlS2BiYoL4+HgYGhqiX79+vIn75cuXERQUhJ9++knGUEMIiMViXLt2DaGhoXBxccHp06d5xxWio6NRo0YNbNu2Te4K57lz5+Dn54f169cLpqO+desWSUtRURF2794NU1NTGeG1Zs0aMAwDhmHQu3dv3u7q06dP8f333yMwMJB3bFZIfPz4EZ06dYKdnR2mT59OhBdQerzQwcEBU6ZMgYGBAfr168c7xnvjxg24ublh4sSJgqyXO3bsgK+vL2rXrs0TXg8ePIC/vz8aNGgAAwMDmVXbu3fvol27dujcubOM4YQQKCgowMGDB+Hp6YkaNWrw0l5cXIxWrVqhefPmSExMJBNcbns7efIkPD09BXWBnyse8/LysGjRImhra8sIrxkzZkBLSwsaGhoyR9OePHmCQYMGISQkBBkZGZWa/vLy999/o3PnztDT05O5GjB+/HjY2NiQuJrSwiQ1NRWenp5YtWqVYPpJLmlpaXB3d0etWrV4wuv+/fuoXbs2wsLCyM4dd+zOzMzEt99+i9atW8s11RAKP//8MywsLNC5c2ee8EpLS4Obmxt69OhB8setzxkZGWjevDl69+7N23kVCu/fv0dgYCBsbGywefNmnvCdNWsWPD09ER8fL3cMuHLlChwdHTFnzhylL9ioKlR0CZgbN27A3t4eurq60NbWxuTJk2WEV0REhFzhtW7dOri4uCAgIABZWVmC6bR//fVXtGjRgjfZUyS8Nm3aBHNzc9jY2ODgwYPk+cOHDzF16lSYm5sLyqUwMTGR7N4ApSu1Q4YMIcKLPUZSWFhIjCVatWrF69SePXuGiRMnwtXVVe5RKWWSmppKBheJRIL09HSEhIQQ4cV2wtevX4epqSkxBuFOlJ49e4YxY8bAy8tLMAsCR44cgYmJCYmHBpQuDHCFF3u0Kz8/HyNGjADDMJg4cSJxULt58yamTp0KfX19rF69WhnZUMi+fft4Z/ELCgrQrl07GeGVnp4OT09PMAyD5s2b8z7z9OlT/PDDD6hWrZpg6uWmTZt4ZQaUHnuVFl4SiQTjxo2DlpYWPDw8SNB44H9urjY2NoKLe5Senk528QsLC3HkyBFUq1ZNRnglJiZCX18fDMOgX79+vIn706dPMWrUKPj5+QnGFXTHjh2wsrLiHU17+fIlT3ixov7OnTvo3r07NDQ0sGLFCnLP6c6dO4iLi4OhoSHWrl2rlHwo4uzZs7xFlxs3bqB9+/YywuvJkyekvXXr1g05OTnkNXYc8PDw4MX7UyYbN25E3759ec9SU1PlCq8FCxaAYRi4urryjDOePHmCqVOnwsrKSnAuhRs3bpQxnlm2bJmM8JJIJOjZsycYhkFQUBDPRfPp06fEXbIsx7/K5s8//+TNuT58+ICAgAAZ4ZWWlgYDAwMSQ409Zgj8ry/x8vISTJ1URajoEjBv3rxBt27dULduXcTExIBhGPz444+81fWyhNfy5ct5l1OVTXFxMZYtWwaGYchlZ1YM3rhxgwgvrtPb4sWLYWlpCSsrK4wbNw4//PADWrduDR0dHcybN4+8T5miUiKRIDMzk3TC3FWvnJwcnvBiO77ExETUrFkTrq6u2LRpE7Kzs3H27FmMGjUK2traMsctlc2FCxfI7g53Mn7jxg2e8GJ3MVetWgUzMzO0bt2adNBXrlzBjz/+CB0dHUHZpz9+/BjVqlWTCexYUFDAE15suf7zzz8YOHAgGIaBi4sL6tatC1dXV5iamgqmTrLcvXsX2traMDc3R1FRERlcucJr2rRpZEX25MmT0NbWRrVq1RAfH4/8/HycOHGC1Et57pPK4P379+QIb1paGm/Vddu2bUR4HT9+HEDp7myfPn2gr6+PkJAQbN++HcuWLUOvXr2gra0tOLc71sAkLi6OLNYUFRXJFV4vXrzAxIkTyd0L9j5aeno6Jk2aJLigpXfv3gXDMDKLEy9evCDCKzo6mjw/deoUWrduDQ0NDdStWxdt2rSBv7+/jNudsstNIpHg5s2bYBgGHTt25O3iXLt2TUZ4FRQUYO3atXB1dUWtWrWQnJyMDx8+4NKlSxg7diy0tbV5BgXK5OPHj4iNjQXDMDh69CjEYjFpc1zhxRXSEydOBMMwqFWrFuLj47Fw4UJ069YNOjo6mD9/PnmfsssNKN1tbdy4MRiGwa1bt3gutPHx8UR4sWFBSkpK0KhRI2hqaqJ79+44c+YMtm7diujoaMG5Q1+7do2YqBUXF5MxgCu8Nm3aRE7j7Ny5EwzDIDQ0FL///juAUgOb8ePHQ1tbW1BjtypCRZfASU1NBcMwWLFiBWbOnEmsqRXteCkSWULo2IDSY4PseWAAvK1trvDiToJ27NiBXr16wcbGBpaWlmjTpg1vh0so29yrV6+WK5ZycnLw/fffQ0tLC/Hx8SgpKUFxcTGSkpIQGhpKjqtpaWnBycmJZwcslHIDgJ49e8pYFYvFYhnhBZQOYitXroSZmRm0tLRgZWUFU1NTwdg5s/8uW3e4x0AOHTpEXucKr7Zt25JdycLCQuzYsQN9+/ZFeHg4fvzxR969DaHUyaKiIiQkJMidvHGFV1xcHBHTf/75JwICAqCtrQ1DQ0Po6urC1dVVcPUyMzMTx44dk/saV3ix7xGLxYiLi0NgYCC0tLSgq6uL0NBQ3uRfKOUGAKGhoTIW0wUFBTh8+DCqVauGgIAAIrwyMjIwbtw46OnpwcLCAl5eXnBwcICZmZkgJrjsv8suyrCmJQB4Zixc4TVgwADy/N69e1i+fDmaNm2K2rVrY9iwYYJ1KZw5cyZmzpwp8/zatWvo0KED9PT0yFHPN2/eYMOGDfDy8gLDMDA2NoaRkRFsbW0FF2bi8ePHCmPxscIrMDCQt4O1bNkyNGjQANra2tDV1UXDhg2xbt068rqQyu38+fMKY/JxhRcbH62kpASRkZFwcnICwzDQ0NBAjRo1eAscQsjf+/fv8cMPP8gdA7jCa+PGjSgoKABQ2n+amppCS0sLlpaWMDQ0hL29vSDGblWHii4BIO1OyB2g2IbdqlUrpKenY+TIkdDQ0JB71DAqKgoMwwgqKCSbt+LiYpkOqGfPnmjatCkvAKQi4VVQUICcnBzk5eUJxqGqrH972rRpvHsl0sKLeydm165dWLNmDQ4cOICrV6+W6/srA2lhwmXNmjVkwscVXs7Ozjw3o8zMTMyaNQsjRozAqlWrBOG+xdZJrnU9u7I5fvx4Er9IkfDiHu0Si8Uy7VfZ5cb++/LKb/jw4QqPGnKFV2ZmJo4fP46ZM2di9+7duHjxosz3VzZlubl27twZM2bM4D2TJ7yA0qNsaWlpyMjI4B3FU3a5SQsTLvv27SNHDbnCy9/fn9THV69eITU1FUOGDEHv3r0xe/ZsstMHKL/cuP08296ioqJgamqK/fv3k9cUCS/2O9iJIYtQyk3eJHTZsmXEwATgC6+9e/cCKP0tXr16hRUrVmDGjBnYtGkT7+i1sstN3r/fqVMn9OzZk/dMkfDKy8vDgwcP8OTJE54Nu7LLraz8dezYUebqAveoISu8JBIJ7t69i8TERPz9998KbfQrG+k6yZ1vzJw5kzf2Se94se3r6tWr2LRpE2JjY/HLL78QR2xA+WWnylDRpWTYypuTk4MpU6YgJyeHVHq2wWzevBkWFhY4e/YsJBIJhg0bRoQX96jhnTt30KVLF8EEvGTTn5WVhWHDhpH0A6WrL0uWLIGxsTG6d++uUHjJiyUjPalUBmwacnNzefe4xGIxkpKSyH2tM2fOkNe4wmvZsmW8jk8aZa8isQPSq1eviLhnO2425tawYcPIBWl5wqssswVld9o5OTnw8fHhHWMCSldzw8LC4O7ujvj4eLnCq3379jJW3EKB/V1fvnyJ69ev8+oRWy/9/f15CxfSwqusy9/K3inJycnB4sWLefcosrOz0bdvX2hoaMjsNHOFV2JiosLvFUp7e/v2LRFX7LOffvoJDMNg0aJF5I6FIuEFyG9bympv3HJr0qQJ4uLieK9nZmbC3t4ePj4+PKMPrvD67rvvyG+h7HKShttPSi9MHDx4EAzDICoqCrdu3SKvydvxUoSyyy0rKwuTJ0/mGWHk5eVh2LBhYBgGQ4cO5X1O0VFD6e9Vdjly512//vor775TZmYmwsLCwDAMOV7Hwt3x4pa3NEKYm7x69YqIXLaeskcH27Zty5tzSe94yQt1I/39lC+Dii4B8PLlS3h7e4NhGNSsWRPjx48nKykszZo1Q4MGDVBcXIz8/HzExsbKFV5Cc996//49nJ2dwTAMunTpgosXL5IO6fXr11i7di0MDQ3RtWtXucKrevXqgjofzSU3NxceHh7Q09PjGX0ApXE+bG1t0bJlS96lU67wWrFiBS/PQuPFixdwd3dHzZo1ZWJ0DB06FFZWVoiJiZErvFxcXBQGPVU2RUVF+Oabb8AwDGxtbTFkyBDe68+fP0doaCjc3NxkhNeePXtgaWmJb775hreqKSRyc3NhYGAAV1dX3sSgsLAQW7duhYODA3x9fRUKrxkzZsiN46Vs3rx5AxMTE3LEmnt38sGDBxg+fDgYhpE5AssKr3r16gnGBEQe2dnZCA4ORqdOnXh9OlC68q6vr4+FCxfKFV4BAQE8kxuhIJFIUFBQAH9/fzAMAz8/P8yePZv3nocPH8LOzk7GYfHFixdYvHgxiWEobwdQCGRnZ8PPzw/+/v68XX4AWLp0KRiGQWRkpELhJT12CIV3797BxcUFDMPgu+++4wX9ffbsGSZPnkwC3nNhhVft2rWxffv2yk52uXn9+jUxfFqxYgXvqsOlS5fQsWNHMAwjc+SQ3fHq1q2bYMxppHnx4gX09fXh6+vLM2h5//49Zs2aBUdHR7Rp00ah8OLayQupP1EHqOgSACdOnICtrS3s7e1RvXp10hmPGjWKHIvZv38//Pz8SAedk5ODkSNHQkdHBxMmTJCxTRdKQ8nNzUXr1q1hY2MDXV1dNG7cGJcuXeIJrzVr1sgVXunp6WjcuDHMzMxkYmUIAfaOnYODA6pXry7jVrR582ZYWVnJFV7sSuH8+fMFOZkQi8WIjIwEwzCws7NDw4YNZYKzfv/997CwsJArvEJDQ2FnZ4eTJ08qIfWfZs6cOWAYBvXr14eLi4vMiu2zZ88UCq9du3aBYRgZC2ihsHbtWnJP0Nvbm1z+BkoF55YtW2BnZydXeHXs2BEWFhYYP3684GzhMzIy4O7uDgMDA2hoaGDEiBE84XX//n3SrqSF144dO+Dh4YHq1avLDUCuTCQSCcRiMcLDw8EwDNzc3NC/f3/e8XEAaN++PXR0dOQKL09PT3h7e8sNoCwERo8eTfLm7u7OM5wByhZerBOeUAUzW+fs7e3RpEkT3hFqoDREiCLh1blzZ7k7KkLg1q1bqFGjBmxtbaGlpYWuXbvyhNfTp0/x448/yhVeaWlpcHJygpubm2Dt/JOSkmBubg4jIyNoaGhg/vz5vKOrly5dQvv27eUKr+XLl8PQ0BDh4eE8USMExGIxZsyYQcaAoKAgXho/fPiAmTNnwt7eXq7wCgwMhJmZGdauXSuoRTd1gYougbB//34EBgbCx8cHCxcuxP79++Hl5QU3NzdERETg9OnTcHNz4x2H4m7zCzE4JMucOXNgb2+PpUuXwsnJCfXr1y+38Lp69aqgrFe55ObmwtPTEx4eHqhXrx7c3Nx4dxMAxcIrOzsbERERgjkKKo9Tp05BU1MTQUFB8PHxQaNGjWSO1SkSXtevX4eXl5eMo6ay4QYdDw8PR9euXdG+fXuYmppi2LBhvPeWJby4x9uExl9//QUXFxe0bduW7Dpyd87LEl4fP35E48aNBWfDDZSu0kZERCAwMBDjxo0jR1y5IRfu379PnF6lhdemTZtkLKGFxM6dO2FoaAh3d3c4ODggMjJSZsdLkfA6ePAgzM3NsXXrVmUkXSHspO2vv/5CeHg4YmJiULNmTVhbW/MMPgDFwisnJ0eQi24sGRkZ8PLygqenJxwdHdGgQQMZS21Fwuvq1ato2rQpfv7558pOdrmIjY2FhYUF5syZAwsLC3Tp0qXcwuvs2bOCck+W5vXr12jWrBkCAgIQExPz2cJr3rx5ggsPwnL8+HHo6uqiffv28PT0REBAwGcJL2dnZ6xZs0YZSVd7qOhSMtyVhD179sDPzw+Ojo5ISUnBu3fv8Ouvv8LDwwO1a9eGpaUlsUhmyc3NlVlZUybcHTbu/3t5eaF37944duwYbGxs0LBhQ4XCq0ePHrwz1ixCWnVh0zJz5ky0aNECM2fOhLe3N5ydncsUXtw7XkI+WiiRSFBUVIQBAwagQ4cO+P7772FlZYXGjRvLHDXkCi82JpdYLCZ3U5SJ9I4v16xg2LBhCA8Px5UrV/Dtt9/CwMBAofCqXr06Fi9eLPN9QqqTXH788UeYmZlh69atqF27NqpVq1bmjhf3fqEQ88T+7rdv3ybhIuLj48EwDIYPHy4jvNjFKEUW90I5CcDlwYMH6Ny5M0aMGIGePXtCT0/vs4SXEHe52N+5sLAQ7dq1Q5cuXfDgwQPUqVMHVlZWCoWXr68vz52QRWh1UyKR4M2bNxg4cCAiIiIwa9YsGBkZISwsjNfXA3zhdfv2bfJcCP2kNOzvnJeXB3d3dwwaNAgrV66EgYEBunfvrlB4xcTEyP0+obU3Nn8pKSnQ19fHvHnzMGLECGhoaGDBggUKhdeuXbvkfp/Q8gcAAwcORLVq1bBgwQI4OjqiVq1a5RZeQjx9oy5Q0SUAuA1237598Pb2hoODAzlKKJFIsGTJEvTp0wft2rVDenq63O9R5oCkyAmIdalatmwZgoKCcObMGezfvx/m5uZyhdf69euhra2NFi1aCKbhK5q4A8C5c+dgZWWFnTt34vTp0/Dw8ICLi4tc4WVvb4+mTZvyjDfkfX9lU5aQWLVqFdzd3XHp0iUsXLgQpqamCoWXjY0NBg8eLHN8S1n5Y+tPQUEBzzWLfZ6VlQVTU1MsWrQIHz9+RLdu3WBsbCwjvJ4/f47atWvDzMyMF+5A2Ui3NW7snPT0dAQFBWHWrFk4cuQIPD094e7uLld4OTk5wcPDg+dqCCi/3KTTUVxcDIlEgpiYGDRr1gw3btxAXFwcGIbBiBEjZIQXG8Ra+g6RsimrP5kyZQqqVauGnJwcDB8+HLq6ugqFl6GhIebOnSszaVe2211RURGvDNkx4Pbt29DT08OOHTuQlZWFoKAg2NjYyBVeFhYWsLa2FtSOclnlduTIEWhra+Ovv/7Crl27YGRkhPr16ysUXn369OEFUJb3/ZWF9NjNXZgqKChAbGwswsPDcfXqVSxduhQ6Ojro1q0br04+e/YMU6ZMAcMwMgGUlY10e+CasuTl5aFTp06IjIzE5cuX0b9/f4XCq1OnTmAYRlC7yfLGbvbZ4cOHUatWLWzcuBHr1q2DmZkZAgMD5QovZ2dntGjRQmaxW9lzE3WEii6BwK3c+/fvh4+PD5ycnHgXUd+/fy9zd0sIcB2q2rZti3379slMEu7cuQNbW1tMmzYNALB3715YWFjIFV4///wzVq5cWal5UATbQb9+/Rrnz58n8WW4HfmYMWPg4uKCd+/ekfsV8oTXxo0boampSayChQDXPp07weHe5wkLC0PHjh0BlO7sWVhYyBVebMBgaVGpTJ4/f446deqgZ8+eMm5abNymGjVqIDs7G0+fPkWXLl1gYmIiI7yePHmCHTt2VGbSy4Trmsa1Befy7bffIiwsDB8/fsSpU6dQvXp1ucJr06ZN0NXVFcTRO66r2KhRo3D//n2ZicCePXtgamqKP/74AwAwadIkucLr3r17iIqKEkyAWYBvn84Vueyl9eLiYnh7e2PEiBEAgAEDBsDAwECu8GrdujUYhhHUZf7nz5+jXr16mDhxokwMtdevXyMyMhItW7YEUHosr1atWrC1tZURXvfv3xfUEVdufLGHDx8SdzduP9mzZ080aNAAQOm9ShMTE7nCa+HChWAYRmG7rUzY9vbixQsMHjxYJq0AcPnyZejp6ZH4WkuXLoWenp6M8Hr69ClGjRolmADqAN9leP78+Xj9+rXMexISEmBkZITr16/j9evXJOaptPD666+/0KRJE8Hkj+t4Km28xlK/fn106NABQOn8w9zcXK7wiouLg56ensychfL1oaJLQCgSXtxLtkKwS5fHmzdvUKNGDTAMAz09PfTo0YOsMLOdw6JFi2Bubk7O5+/fvx+WlpZo2LAhLl++zDuKwiKEfObk5MDU1BQ2NjZo06YN0tLSePdgUlJS4OHhgfXr1wMovbTv5eUlV3hxj5UIhaysLLi4uCAkJATjxo3D+/fveSvVW7duhZubG4kdM2nSJFhaWsoVXkISXMXFxWR10snJCVpaWujYsSM2bNhA6lhaWhqMjY1JbLuHDx8S4RUbGyv3e4VyxCk7Oxs+Pj5gGAaDBw/G0aNHeZOE+/fvw8TEhNioHz9+HN7e3jLCq7CwUFD18uXLlyRfnp6eiI2NlTFR6Ny5M2rWrIl3796hsLCQrLJLCy/p3TshkJWVBWdnZ3Tu3FnG4r6oqAgzZsyAn58fWWDr27cvDA0N5QovIZm5FBQUoFWrVmAYBi4uLrCwsEBkZCROnTpFxMnhw4fBMAw5xZGRkYHAwEDY2trywoNwEUp7y8nJgYmJCby9vTFo0CAZg4itW7fCycmJmActX75cofAS0h21V69eEYdhDQ0NDB48WOYu1pgxY+Dt7Y1Hjx7h3bt3iI+PJ8KLe9SQu0AihLEbKBWUbm5uYBgGXl5eWLRoEa//A4AmTZqgbdu2KCoqwv379xEVFSVXeHHzKgSeP3+OgIAAmJmZYcKECUhPT+fNn86cOQNzc3Ps3LkTYrEYa9euhaWlpYzwev/+vULhRvm6UNElMBQJL6GaSbDk5OQgPDwczs7O8PHxQWRkJNzc3FCjRg0sXboU2dnZePToEYKDgzFnzhwApZf29+/fD1tbW9SrVw+pqalKzoV81q9fD4ZhYGhoiICAAGhra6NXr168galfv37w8vIif+/cuRNeXl5wd3fn7WyVFXBYGYjFYmJKYGtrCwsLC1SrVg2TJ0/GtWvXAJSuUPv4+PCOjUyePBmWlpZo3ry53JhVQshfSUkJEhMTERQUBHt7e8ydOxdhYWGoUaMG/P39cejQIXz48AFz586Fs7MzuRPz+PFj9OjRA7q6ujLBWYUEe7TO1tYWpqamqFevHsLCwnD+/HkyOfjuu+/QrFkz5OXloaioCH/88Qe8vb3h5eUlt70JodwuXLgAFxcX4gratWtX6OvrY8CAAWQR48SJE/Dz8yOX21++fImpU6dCR0cHQ4cOlVkMEMoEsLi4GIMGDQLDMLC2toazszP8/PywYcMGstP89OlTWFpaYuzYseRzERERMDQ0RHR0tIzwAoRRbu/evcPq1avh4+MDR0dHLFiwAF5eXvD390d4eDj+/vtvFBUVYejQoahbty65/5mZmYk6derAzMxMJsC1UBCLxZg9ezYYhoGBgQGCg4Ohq6uLH374AUeOHCHva968OUJDQ8nfK1asgImJCRo3bsyzkxfSOPD06VO4u7vD0tISderUQdOmTeHh4YGmTZviwIEDePv2LS5fvgwHBwey25+Tk4P4+HgYGxujY8eOMk6bQuLPP/8k7pLu7u6oX78+HBwcMGXKFCJ+N2zYAHd3d7JrfOfOHURFRUFHRwdz586ViVsllP5k6NChYBgGjo6O0NHRQWhoKL799lvcv38fxcXFeP/+PVq2bIkePXoAKG2ja9asIWUtT0QKoU6qM1R0VSDsbsHnWi9LCy82dgI3yruQYBvps2fP0LVrV7i5uaFfv364f/8+BgwYAC8vLzg4OGDbtm1o3LgxPDw8yIpYcXEx9u7dCw0NDUHa5gKll4kXLlwIDQ0NxMbGYv78+ejevTuMjY3RsmVL7N69G3///Td8fHx4Vsh79uyBm5sbTExMcPfuXSXmoGz++ecf9OvXD9ra2liwYAGioqLQsGFDGBsbY+rUqbh9+zaOHz8Oa2tr3gRj2rRpMDIyQmBgYJkBdZVJSUkJkpOT4eLigmbNmuHw4cM4fvw4unfvDisrK9SpUwd9+/aFl5cXEhISSFt9/PgxWrZsSXbAhMqQIUPg5OSErl27YsGCBejZsycMDAzQpk0b/PHHH0hKSoKuri5ZtCksLMTx48dRrVo1WFhYyJ3AC4ETJ04gJCQEXl5emDlzJk6dOoVatWrB1dUV7du3R3JyMjw9PdGtWzfymTdv3pCjhkIyF+IikUhw/PhxtG3bFrq6uli6dCm6d+8OX19fuLm5YdWqVcjOzsaqVavg4+ODc+fOkc8OGDAAWlpaMsHkhcTbt2+xadMmWFpaokuXLrhy5Qp++eUXNGnSBCYmJujRowe6deuG4OBgcjwUAP79919Uq1ZNUEcKpbl58yZGjx4NDQ0NjBs3DvPmzUNISAisrKzQu3dvpKWl4cCBA6hVqxbvqG5CQgL09PQQEBBAhKZQYMfuBw8eICgoCAEBAYiNjUVycjJatGgBV1dX1KlTB2lpaahfvz6CgoJIH/ny5UssXrwYDMPg8OHDyszGJ9mzZw+5Uz19+nSsX78e1tbW8PX1xdChQ3H37l3Y29tj8ODB5DOZmZno16+f4I7wStOpUycYGhpi2LBhGD16NJo1awZdXV18//33uHLlCpKSksAwDHHUfP/+PdatWwcjIyNUq1ZNsH2JukJFVwXBdmZZWVlo0KDBZx+74gqvvXv3wt7enhxfEyJsfp8+fYpu3brByMgIEyZMAFA6oMbExMDNzQ2enp5gGIa3S1RcXCxoUQKU7vZMnz6dBGb9+++/kZqaisaNG8Pb2xsuLi6wt7dH9+7diaMYUBqYddOmTUpMefm4e/cu2rZtSwIjXrx4EcuWLYOzszO8vLzQoEEDuLu7Y/z48bxOeuzYsUhISFBiyj+NWCxGcnIynJycEBwcjLNnzwIoPeo0evRoaGlpgWEYTJw4ESUlJaQucx39hLKyycJdyImMjISFhQX69euHt2/f4tChQ+jVqxcYhkH37t2hra2N4OBgYrhQXFyMQ4cOYfPmzcpKvkK4vzO7S2ljY4NDhw6hqKgIBw4cQGBgIGrUqAE7OzsZgfX69WtyDFaosPWxbt26cHV1xblz53Dq1CmMGzcOhoaGaNKkCZo2bQpPT0+Zu61du3bFihUrlJTy8vHu3Tts2rQJxsbGaNu2LdkJX716Nfr06UPiB/30008A+PelhE5GRga5u7p+/Xqkp6dj9+7d8PT0JPXS2toasbGxvB2DJUuWCHYBh/397969i6CgINjZ2ZE6lpiYiK5du8LU1JQESuYeac3LyxOUuZA03P5k+/btsLGxQWBgIC5cuICXL19i6dKlcHNzg5eXF+zs7GBoaIhLly6Rz/zzzz9ITExURtI/CXcMaN68OUxMTDBp0iS8ePECCQkJaNKkCXR0dNCrVy8Sjoe90/bhwwcsX75c8GO3OkJFVwXANYWoV68e2dqWjlZf3u8BIHhRAvB3vLp37w4DAwNyIRwoDUa4YMECREdHKzw/LOSt7bdv3yIuLg4aGhoYOnQoCgoKUFBQgKSkJPTv3x8Mw6BTp0549uyZ3HwIOW9A6R2g1q1bw9TUlKw4Z2RkYN26dfD39yd2x+/evZPrLCk0YcJFIpEgOTkZrq6u8PX15e0gXL9+HUuWLFEY606o+eKWwXfffQddXV3079+fODWePn0abdu2haenJ7p27cpbZefmSWj1kpu2EydOoFatWrCysuK5hiUkJGDgwIHo2LEjOQYrjdDyxUUikSAlJQVBQUFwdHQkd9YuXLiAH3/8Ee7u7mAYBoMGDUJxcbHc0xJCrZdA6YLFpk2bYGZmhkaNGpG6l5+fj7Nnz2LSpEkysazY/Ag5X0DpDsiAAQNIcHugdKxft24duUPaqVMn5OXlqUw/yabz3r17CA4Ohrm5Oe++4YEDBxATE4OIiAiFIkuo7Y37e+/cuROWlpbw9/cnd+8kEgmmT5+ONm3aoHPnzrhz547c7xFi/rj9QsuWLcEwDKZPn47i4mK8fv0ae/fuRY0aNWBpaYmIiAjk5uby3ClZhFgn1RUquiqI4uJixMXFwcjICJGRkQgKCoK5ufl/El6AMBs+F2nhZWxszNuyZ21oVZW3b99i+vTp0NDQwJAhQ3hnolNTU3mBL1WR+/fvo127djAwMMDatWt5rmq7du0S9DGLT8EVXv7+/jh9+jTJH/fysSrBHTgHDhwIPT099O3bl9j25+XlIT09XcaeWuhw+72TJ08iMDAQNjY2vICdHz9+5F0GVxW44iIlJQW1a9eGtbU1cbMTi8UkbqGiXTtVmCSxwsvc3ByNGzfm3f1U5TEAKF0EjY6OBsMwmDVrFu+1EydOCMooo7ywfcn9+/cRHBwMKysrXriFt2/fqsRupDy47WXXrl2wsrJCjRo1eEZXWVlZePLkiTKS95/gCi/WyGbq1KnkZMPz58+RlJQk6B3JqgQVXRVETk4OWrZsiZo1a6KgoABnzpxBUFAQLCwsPlt4CYHPiZklLbxMTEx40erZTkIVJg7y4AqvmJgYuUYSQsqbooDVirh//z6JA7R27VreccnP+Z6KRt5uzafSxRVeAQEBOH36tGDiwX0p0sLLwMAAffr0IcLrc8tfKMgTXra2tsS6GuDH3FEluMLrzJkz5G5QYmKi3IU1oeWvvLtSXOHVtGlTQQZwZvnc3/ju3bv47rvvwDAM5syZI2O28CXfqWykhZeNjQ1PeKlqewPkC6+aNWvyjksK1R36U8gTXpMnT8aLFy8A8BfrVS1v6gYVXRVEUVERjh07RlZOiouLkZiYiODgYJUTXmxH+/z583LHcZAnvKRjHwkBeR1QeXYTpYUX16ZaSHDjAn0O0sJLaEYZbBkVFRWhuLiYF/yY+7o8uMIrMDAQycnJaim8+vbtS451CWWH/FPlUtYzrvCStrQWCp/Tn8gTXtbW1oK8Q8Lmga1nn+PmxhVeLVq0EKTw4vaT3Lucn4IrvObOnSu4HfOy2pui1+QJL+k4akLhv/QnXOEldCOQ8iBPeE2ZMoWMjVRsCQMquioQ6YEKQJnCix3IhNQ4uILLxMQE9erVk7vzIQ+u8OrZsye5cyIU2PR9+PCBXJj9nAkBK7x0dHQwePBgGZtqZcOW3bNnz9CyZUsSG6e8sMLLzMwMCQkJgol5xJZbdnY2+vbti6CgIPj7+yMmJgYXLlwgg09ZQkoikeD06dOwt7eHs7Oz4FzFvgRp4WViYoKePXsKZkGATd/Lly+xbds2zJ49GwcOHMD169fL/Jy08GLtxYVmTMDWy8LCQrx69YqsMpeFPOHl4OAgE1hYmXADVg8dOhRNmzZFy5YtMXPmTDx8+JC8XtYEOD8/H5s3b4ahoSGCg4MF05cA/H6ycePG2Lt372eNwazw0tHRwU8//SQY4cWWR15eHlavXo3x48cjISGBGAlx3yMNV3jVrVsXpqamiIuLq/hEfwZsGl+/fo2jR48iISEBaWlpck+ecJEWXnZ2dvD19eWFdlFVpIWXtrY2fvzxR3LUkKJ8qOiqQBRt6f7555/ksirrvPXvv/9i4sSJSEpKquxkKoQruBwcHNCgQYPPdgbjCq9WrVoJZqLEnbi3bduWBE80NTXFrl27eO8pi7dv32Lq1KlgGEZQgYG5ZWdnZ4c6derg5s2bn/09Dx48QOvWrcEwDNLT0792Mr+Y3NxcuLu7o1atWujbty+ioqJgZGQEe3t7TJ48mdwZ+ZTw+vPPP/HLL79UVrIrHG5+o6KiwDCMICbwbP+XlZUFb29vWFhYQF9fH5qamrCwsMDSpUvLvOcj3X8KzV6c259069YNvr6+8PT0RNu2bZGSkoJXr14BKHv1XSKR4OzZswgMDISWlhY5HioEXrx4AXd3d/j4+KBNmzZo3rw5tLW14e/vj3Xr1qGoqAhA2X0mGyNo9erVlZXsT8LtJx0dHVGzZs0vuv949+5dREZGgmEYXLx48Wsn87PhtjdPT0/Y2trC3t4eGhoasLGxwdChQz/5HVxzDQ8PD959SmXDzZ+/vz/Mzc2hqakJhmFQs2ZNbNu2rVyfB4AdO3ZAU1MTv/76a4WmubKQdjVkGEahSRSl8qGi6yvCdlKKVpa5Df348eNkx2v79u0YPnw4GIbBzz//XClp/RRsWp8/fw5nZ2fUq1cPaWlpvEFVekKraILLfkYo0erZfzs7OxseHh6oXbs2FixYgM2bNyM8PByGhoaf5Rb55s0bQQV2lhbLoaGhSE1N/eKjlHfv3uWdexcCs2fPhpOTE88B7cmTJ2jWrBnMzc0RERFBdo7Le7ROSDvMwJenh9sOT5w48bWS85/58OEDWrRogdDQUBw7dgwlJSU4ePAgvv32WzAM88ndYu7vIZTdOy55eXnw8PBArVq1MGLECAwdOhTVq1eHoaEhxo4dS3bRPyW8Tp06he3bt1dm0stELBbjhx9+gIeHB2lvBQUFuHTpEqpXrw4LCwvExcWRHZ6y2ht3Qqjs9iavn0xLS/vifjIjI4O4UAqBgoICtGnTBiEhIUhOTkZRUREuX76MAQMGQFNTE61atfqkcQT7GwlpZ5IlPz8f9evXR1hYGPbv34/c3FysXbsW9evXB8MwmDlzZpm7jtxy/vfffysjyZUGt53t27dPeQmhyEBFVwVQt25djBs3Tu5r3IZ++vRp1KpVi8QtmTt3bmUlsVy8e/cO7u7uMDc35+1wHTlyBDExMWjQoAFGjBjBWyEqz90YZQ+2QOmRhGbNmqFevXo4c+YMeb5+/XowDMObrH5OeoVydyY7OxvVqlVDWFgYrl69SlaiHzx4gNu3b+P8+fPk2ecglPz1798f3t7e5G92l+TNmzeIjIyEmZkZoqOjyaArhDpXXqQvc39ucHVAth0Kodyys7Ph6OiIGTNm8J4/efIEc+bMgba2Nvr161fmRFC6HIVUrkuWLIGTkxPvtMLbt2/Rt29faGlpoUePHmVO7r50sl8ZdOjQAfXr1yd/s3UyLy8PjRs3hrm5OWbOnPlFdVWZPH/+HB4eHggJCcH169dJ+u/du4eLFy/i7NmzXxRAXAjllp+fD3d3d5m5SE5ODlasWEHMTVgH3vLcjxJSe7t37x6sra0RHx/Pe37t2jUMGTIEDMNgwoQJZZpjSOdLCOUGfJ0xQPozQslbVYeKrq/MH3/8AQsLCyxevFihAGEbUmZmJtq3bw+GYXgdh1Aaxz///IOuXbtCV1eX7MD9/PPPYBgGDg4OCAgIgJGREfT19REbG0s+J5T0l8WWLVtgZ2eH7du3ywRQtLe3x7Rp03D48GFcuHDhsy5WCwGxWIw2bdqAYRjegLthwwZ4eXnByMgI2traCAoKwu7du1XSBnjixImws7Pj7UhyV2X79OkDc3NzzJs3TyXqozQ3b95EYGAgqXvFxcWknl66dAmbN29WqQmuRCJBeno6tLS0yHFOrhlDfn4+li1bBi0tLV5fIqRJ3qcYOXIkHBwcyN/c8hkzZgxxlRTiLp0iJBIJiouL0bt3b9SqVQsvX76Uuav88uVLhIWFwcrKSlA7dOWBDdYcGxtLdnPWr18PFxcXclzN2toaGzduJIFlVQGJRILHjx9DV1cXixcvBlBqOsS2JzaAtampKTp06EA+p0p95YULF3gLpNz+5NGjRxgzZgwYhsGCBQuUlcT/xM2bN9GxY0digsUdA65du4ZTp06pVP9IKYWKrq9MbGwsLC0tP3k87dmzZ4iIiJDpFITW6d2+fRu9evWCjo4O+vbtCyMjI/z4448kHtXff/+N7t27Q0NDA9OnT1dyastPXl4epkyZwjt+kJGRAVdXV1hbW6Ndu3Zo0KABGIZBdHS0woCJQuXatWuoWbMmHB0d8euvv+KXX34BwzBo3bo15s6diwkTJqBGjRowNTXFqlWr5NodCwFF9yJ///13ucdxuZerQ0JCUL16dTLJVaUBKiUlBfb29ggICOCJ/uTkZDAMg0mTJgm2zMoiLCwMISEh5G/uwtTbt28xbdo0MAyDDRs2KCN5XwRbr6ZPnw5LS0vcuHFDrolSbGwsGIbBjBkzPttNVNmsXLkSDMPg0KFDAP6XL/a/ubm5cHFxQcOGDb9oB11ZlJSUoGHDhtDV1cWaNWsQHx8PhmHQpUsXrF69GvPnz0fTpk2ho6ODBQsW8Ca+qkC7du3g7e1NzCW4aX/79i0WLVoEDQ0NTJ48WVlJ/GI+fPgADw8PdO7cWW7A3wcPHpB7rUI7Hl8etmzZAkdHR7Rr147XX7BjwJw5c1SqrVFKoaLrK3Lx4kUYGRmRYIllCagPHz6gY8eOmDJlCnmmTMFV1kBy+/Zt9O3bFwzD4LvvvpOx587MzERISAjc3d0FaQcsjbwjSm/fvkWNGjUQHBxMgua+evUKc+fOJefDAeGJYnmwA8+NGzfg5+cHY2NjGBsbIy4ujndU5unTpwgPD4e9vT0yMjIACEuYsPl48eIFWcTgpq9Xr14wNTUlx0Olj2JcvXoVDMNg0aJFlZnsr4JYLEZycjJ8fX3JMcqrV6/CyMgIffr0wfPnz5WcQsXIq0PFxcUQi8VYvHgxjIyMMHXqVJmJO1B6t6JJkyYICAj4omNdlQE3vRKJhLcDqampyXN5k0gkvPd369YN1tbWZd7vUhZlxQd79eoVmjRpAhsbG3Lvjs0X2972798PhmGwZcuWSkrxf4Prclq3bl0wDANzc3NMnz6d5zz54MED9O/fH3p6eipnSLBq1SoYGBhg3Lhxcq3DWYMrHx8fwTq4ymsjJSUlKCoqwrBhw2BhYYH169fLFV6pqanw9vZG27ZtkZ+fL6j29ikKCgqwadMm+Pn54ZtvvgEAXLlyhYwBz549U3IKKV8CFV1fAbaRz5s3DxYWFsSRkPsaF7az57p1KXMyz/7bxcXFePfuHR49eiRzcfb69esYN24czwmNO6HYtGkTGIbh3Y9SJfLy8vD777/j7t27vN/j48ePaNasGdzc3IgDmZD41CCSnp4OPz8/hIeH80wK2M+dO3cODMNg1KhRFZrOz4V7yV1HRwfffvutzKXoixcvIjg4GNbW1rh8+TLvNbFYjIKCAvj5+SEiIgKAsCa4ZcG9X3Dy5EkEBATAxcUFBgYGiI6OFvTxNG4cp+fPn+Pff//l9W3sHSAbGxskJCTInSitWbMGDMPg9u3blZv4csCtl/Kst0eOHAmGYXjuadx+8vbt2zAxMcHo0aMrMdWfpjz223v37oWDgwPc3d3lxn/LysqCra2tSu2acIVXo0aN4OnpiXv37sm87/z589DW1kb//v0FdaxX0X0l7t89evSArq4u4uPjyVFybp08fvw4GIYRZOzQT4VhyM7OhpubGzw9PXmxtrj9yfTp06GnpyfYRRx5sOVXUFCAX375BTVq1EDdunVhYGCAAQMGCHoMoJQNFV1fiffv38PFxQX9+vXjPZdIJPjw4QNmzJiBSZMmyf2sMieD3BgsERERqFmzJqysrFCnTh0Z69uyOq3Vq1eDYRj8/fffFZncCoU7geD+f+/eveHg4CC4M/1sGt++fYujR49i7ty5+P3338muFcutW7fw+++/855xJ/Y2NjYy9VaZSNs4N2jQAOfOnSOvc9vLwYMH4evrCysrKyQmJvIWMp49ewZ/f38iKFVFdAH8tMbHx0NTUxOmpqZkx0+IO65smrKystC6dWu4urrC0tISISEh2Lp1KxH9T548gZubG2xsbLBixQoyiWWPyhw/fhyampr466+/lJMRBUjHLGzYsKFM0PCrV6+iWbNm0NDQwO7du8lzbnkGBgaie/fulZPocvAp+23WKEkikWD16tWwtraGq6sr/vnnH973PHr0CK6uruSkh6rA1j+xWCxzDI1bbtWqVUP79u0F0/bYdOTm5mLp0qUyIQbY+ioWi9GiRQsYGRlh8eLFRLiwr588eRLa2to8J1gh8KkwDGw+bty4AWtra9SoUQMHDhwgn2P7k99++w3a2toy9VXocOvehAkToKmpCQcHB7JLLpR6SPk8qOj6CkgkEixatAjm5ua81c9Lly5hypQpcHZ2hqmpKXx9fQW1QsG1Tvf29kZAQACio6MxcOBA2Nvbw8jISG5sJ+6RGqB0EtKnTx/4+/t/MjChKsDN27179xASEoIuXbrg/fv3gunouBPchg0bwsHBgbhgNmrUCImJiQA+7fZ2/fp1mJmZkeOTyhYm3FAFTk5OxMZZ0e8ukUhw5MgRhIWFwdDQED/++CP++usvpKenIy4uDgYGBrzJr7IpKx/y/j579iwMDAzQokULeHp6wsfHh3exWmi8fPkSnp6eCAkJQVxcHObOnYu6detCW1sb3bp1w5UrVwCUTtCrV68OGxsbjBgxgojl3NxcjBs3Dg4ODoKaJH0qZiG3XE+cOIF69eqBYRhs3LiR9z3Z2dkICQnB4MGDZfpRZfIp++1p06YBKK2X69atg5ubGywtLbFmzRpkZmYiMzMT06ZNg6GhIY4cOaLczHwBn3L7TE9Ph5WVFX788cfKTJZC2HqTm5tLYkzGxcXJHDtm8/H69Wt888030NLSwqBBg8gu8vPnzxEXFwcbGxtcu3atcjNRDj4VhiEzMxNA6U6kjY0NXF1dsWTJEp67ZmxsLNzd3QUT9668bZ5934ULF2BgYIDQ0FB4e3ujVatW5YpDSREmVHR9JVq2bIlGjRoBAI4dO4YRI0ZAX18ftra26NevH86dO0eO7AlloAVKB9u2bduibt26vN2EAwcOwNbWFj169OC5HkmTkZGBKVOmQEtLCytXrqysZFcY3MGWHZAMDAwE5crFlkVeXh4CAgJQr149/Prrr7h58ya2bt0KbW1tdOjQQa7RgrRYnjBhAkxNTYlIEwKvX7+GnZ0dPD09ebsdSUlJWLRoEaKjo7F+/XrymkQiwa1btzB06FBoaWmBYRgYGhrC1NQU8+bNU1Y2ZOAe4Tp+/DjWrVuHtLQ0clRL2r44OTkZhoaGiIiIwJMnT5CUlARfX1/4+/sTcw0h9SUAsHnzZtjY2MjUp3HjxsHKygohISFIS0sDULoT2b59exgZGcHd3R3ffvstWrZsCV1dXSxcuFAZyZeL9EJAvXr1kJqaWuYCzMmTJ4mD6ODBg3HkyBGkpaVh8uTJ0NXVFVR/ApTPfnvs2LEASn+PxMREdO7cGQzDwNjYGNbW1jAyMhJc2JMvRfrY5JQpU2BiYiIoQfnx40d8//33MDMzQ82aNYkhRln3PQcMGABLS0uYm5ujXbt2qFevHnR1dTF//vxKTHn5KU8YBnZxJiMjAwEBATAxMUFISAjGjBmDTp06QUdHB0uWLFFSDvhwHXbT0tKwZ88e3L9/Hy9fvgQge1w0OTkZxsbG6N+/Px48eICNGzfC398fbdu2JYtvQhsDKGVDRddXYMeOHcR2tk+fPjA1NYWtrS3mzp3LEzKA8LaEjx8/DktLSyxbtkym8fbq1Qvu7u4KP7t8+XK0bNlSZnKrKp0A9z6J9CViNhaZrq4ubyIhlLwVFxdj7NixCAgIkAmAu2LFik+e0U9KSsIPP/wALS0twQ24KSkp8PLygoODA9k5XrlyJbS0tGBgYABjY2MwDAMnJyfs2LGD99nU1FT8/vvv2L59O+/Su7LbnfQRLjMzMzAMAx0dHVSvXp13HwEA7t+/D0NDQ/Tt25d3YTopKQkeHh6ws7MTpJPazJkzYWBgQH5v7nHPxYsXw97eHvXr18f169cBlArQXbt2oVevXvD390enTp14zoVCyd+bN2/g4eEBJycn3Lp1i0yeTpw4gUmTJqFDhw6YO3cuT2ymp6dj1qxZMDQ0hK6uLvT09GBtbS2ohQCW8tpvS4uqw4cPY+nSpVi+fDmvH1J2eytPzCnpv+WNAydOnMCIESOgra0tuHJLSkoCwzDo0aMHSkpKEBkZqVB4cXdE9u/fjzFjxqBOnTqIiIjgGZ8ou9yk+VQYBn19ffTp04ccucvNzcWCBQvQtGlTODg4oFmzZkhISCCfUWZ/wl28CQoKgrm5ORiGgZGREcLDw5Gamsp7f0ZGBhiGQd++fUm9LCoqwsaNG+Hp6YmwsDC606WCUNH1HykoKMD48ePBMAx0dXURGBiI9evXywTBFGrj2LNnDxo0aEBMIiQSCel4V6xYAW1tbZ4BA5eYmBg0adKEFxxZmZ02+xtzJ3qKYDvAwsJCdO7cGXFxcfj48SPEYjFOnToFPz8/uLu7Y8WKFeQzQhqQnjx5And3d2ISAfwvfZcuXYKBgQFJO3egKS4uRmJiIuzs7GBjY4OlS5fKfF7ZFBcX48SJEwgICICXlxemTJkCPT09jB07FhcuXEBRURE2bdqEwMBAGBoaEhtrRQglX/n5+WjQoAHCwsKwb98+vHr1CqtWrULDhg2hpaWFOXPmIDc3l7x/9+7dMvcoxWIxEhMTBesQt3nzZujp6SExMVGuScaCBQtgamqKqKgoEpSVpbCwkFdXhVJuQOkxz7p160JfX5/c+1m2bBk0NTVhZWUFJycnaGlpwcHBQUaY3L9/H4cOHcL+/ftx6dIl8lwI+WN/78+x3963b1+Z36nsfHF3lLdv347x48dj9erVMneUAcXjgEQiwR9//AFfX1/Y29tj2bJl5DPKzh+LWCxGjx49ePc82bhjnxJegLCD535JGAZp86+3b9/yzJeEkL+3b9+idu3aqF+/Pn777TdkZmZi0qRJ8PLygra2Nn777Tfe+zds2CCzEFBYWIjVq1cLdgyglA0VXV+B7du3Y+rUqdi8eTPvuVBWacvixYsXuHr1KgDZTmnfvn1gGEbmrDf3fdxVeCFY3mdlZcHLywtr1qz55GcKCwvRqlUrWFhY8FwXs7OzceLECZ4jnhA6bGlGjRpF0s1N3/v37+Hq6oqRI0cCkB1sMzIysGXLFpw8eZI8E1r+SkpKcOLECQQGBoJhGIwZM4YcwWA5evQobG1tER4ejtevXwsuD9JkZGTA2toay5cv5z2/ffs2hgwZAg0NDUyaNEnGoYtFXn8itDxnZGTAyMgIAwYM4O2WcOtgTEwMdHR0SN1lL7xz7zgJse9MTk5Gw4YNoa+vj5EjRxIr7r///hsfP37E6dOnERwcDAsLC9L/KMqHssqNLQdpJ9CioiIMHz78s+y3hVb3AP5d17p168LOzg4mJiZgGAbBwcEyuwmA4nHg8ePH2LlzJ++ZUPJcloAqS3gpMosSKl8ShoH9LYTYn1y5cgXm5uYydz2TkpLQrl07aGtr81xdpeEaYEk/o6gGVHRVAELd1VKEos736NGj0NLS4q3Ovnz5ElevXiXWsyxCaPhv3rxBkyZNyLGt9evXK3xvSUkJwsPD4ejoiOTk5M86jqJsuGmVFxwxPz8fnp6eGDhwIO85dxLM/ZyyBl/u+XWxWCxTp0pKSnDs2DFERETg1KlTvOcsI0aMgIGBgaDjVrGcOXOGF2CWWx4vXrzA6NGjoaGhQXYfhTop+pSQWLp0KRiGkbmXxU6GPnz4AFdXV/Tu3btiE/qV4OY3OTkZTZo0gaamJmJiYmRiFl67dg22trZo1KgRXr16Jai+g203z549Q58+fYgRCJvGnJwcVKtWTWXtt9l8vHjxAp6enggNDSUmOnv37gXDMPjpp58A/K+uFhUVlTkOqNLklps+VnhNmjSJ9I337t3D2bNnZRw3lY0icaTqYRjkcejQITAMQ45Xc8eA9PR09OjRA9ra2ti7dy8A4Y4BlC+Hii4FqJpwqgjOnDkDLS0tMuF98eIFpk2bBiMjI8FZw5eUlGDOnDnQ19fHwIED0aFDB2hoaJQpvCZNmoSkpCTBD6ZfQt26ddGjRw/yd15eHn7++WeZi/LKgmt3PHbsWDRv3hx16tTBwIEDeavwRUVF5PgMF7bMpk6dCg0NDcE4U5XF+/fv4ebmhm+//ZY84/YzWVlZiIqKgpaWlmDj3bHpff/+vcL3PH78GJGRkWAYhnc8F/hfubdq1QoNGjRQmbbHTWdiYiK+++47XjxGsVhMROVPP/0EDQ0NMrESAlz3RRsbG9SuXZsXWoJN+82bN2FjY6Oy9tsfPnxAz549SZB7Nv3v3r2Du7s7xo0bJ/OZ8ePHq804IE94TZ8+HampqRg4cCB0dXXJyRYhwI3rxyItNFQxDIMinj17BlNTU15cTO4YcO3aNYSHh8PIyEiQbpKU/w4VXXLgbtUfOnSoykb+vnz5MjQ0NHDkyBF8/PgRc+bMgZaWFqZMmaLspMnw5s0bREZGws/PDyUlJfjnn3/QsWNHucKrKqweNW3aFK1atQJQuoI9Z84cMAwjCNHFDVXA3p0LDw8nNtthYWEKP8cdaJ88eYI2bdqgfv36gtpV4KaD/f/i4mIUFhZi3LhxMDEx4V3u5g66ly5dgq+vL5o3by7IFWmgtNzs7e3lTmBZrl+/jm7duoFhGMyaNYt3Vy03Nxfh4eHo3r27IM1AFCEdSkIRM2bMgJaWFrGzVjbSdvdhYWFITU1V+LunpqaqjP22NLdu3UKnTp0we/ZsXj9//vx5WFpaIigoCCNHjsSgQYOwdetW8ro6LbJyyzUyMhI6OjqoWbMmz/pfCHD7E1tbW57DoPQYffLkSZUKwyAvDSUlJXjz5g26desGFxcX3l1kbv07dOgQ7OzsEB0dXaZzNEU1oaJLCm7l7927NywtLdG/f3+ZM/BVgWvXrsHAwAArV67E8uXLyQSKRWjiJS0tDU+ePCF/X7lyBZ06dZIRXp+KXaXKsHlp3rw52rZtS8QywzAkFpcQePv2LZo2bYrQ0FDislhYWIjFixdDU1MT06dPL/Pz9+7dQ1xcHHR0dPDLL79URpLLBdsmCgsLkZ+fL3Ps8ebNm/D29oaPjw/2799PnnP7nQkTJsDc3Fzh3S5l8vbtW7Rs2ZLEhJs4cSLvdW5bSk9PJ3bjbdu2xbp163Dq1CmMGzcOurq62LRpU2Unv1yU1R/I6zu4z54+fYqOHTsiJCQEz549E0zfkpWVBQ8PD4SFheHKlStESGVnZ+Phw4cyxk///vuv4O235SEWi3Hw4EHe8el79+7B1dWVBEqfP38+fHx85B6BFQrcsfVzBSG3Tt67dw/u7u5gGAaLFi2S+/3K5M2bN2jatCnpT7j3XcVisczRXlUIw8D+tsXFxSgqKpJZPPvrr79gYGCAxo0b8+4Ycss5IiICLi4uVXLeqe5Q0aWATp06wcHBAQkJCTKrmkIZSL8WiixzMzMzYW1tjaCgIGhqamLGjBnkNaF02vLgpk2R8AIg43YkFOTtlHzqYi0LO9lo164datasiVmzZglSLG/btg12dnbYtGkTLw+5ubnw9/dHx44dFX52w4YN6Nq1KwwNDQVl58/+rtnZ2ejWrRt8fX1RrVo19OjRA4mJieTOWkpKCgwMDBAQEIA9e/aQz7MD7I4dO6CtrU0CmAoFsViMpUuXQkdHB0OGDMH333//SeGVl5eHLVu2wMnJCTo6OtDU1ISDgwMWLFgg9/3KQJG5hDyk08qdKN2/f5/ELCyPkU9lwN59qVWrlszEe8uWLQgODoaZmRnMzc0RHh6OS5cukfg/Qrbfloe8shGLxejevTsaNGiAmzdvkvK6fPky6tevD2NjY8Ed42LTmJOT88kdRa6xwuvXr3mv3b17F0OHDgXDMFi8eDF5LoT+HyjN57x586Cnp4fo6Gi0bdv2k8Lrzp07gg7DwB0DoqKiULduXYSGhmL48OG4desWaVv79u2DlpYWWrVqxQsrxPZBP//8MwwNDXmLyBT1gIouOSxbtgy2trbYsWMHWaVgG35BQYHgBhtpvoZ1OlB6N8Pa2lpmRVAonXZZcMtInvDKzMxEbGws1q5dq6wkyuVTOyXyBFlBQYGM1eygQYPI6iF3h0sIZScWi7Fo0SIEBgaSu0HcUAXff/89nJyc8ObNG5m2lp+fj7CwMAQHB/N2uISQL6B0ourh4YHg4GAMHTqUxJkxMzNDTEwMMSA4deoUTExM4OnpyWtbL1++xLBhw+Dh4SG4AffDhw8YP348/P39IZFIkJ2dTSZ1ZQkvoHQCeeXKFaSkpPDEpLLLjXv0rnv37jJxFblw2xs3TAYALFq0CJ07d4aJiYkgYxampqbC1NQU3t7eOHPmDBISEsAwDBo1aoTx48ejd+/ecHBwgIuLC44ePSqzuyJE++3y8uLFC15bYtPOxtcUUmB4bn3U19dH586dFS4GcMfuHj16YN26dbyrEXv27IGRkRHmzJlDngmp3F6+fInIyEgEBQUBKDXEKI/wAoQdhuHFixdwd3eHv78/evbsiS5dusDU1BTOzs5YuHAhCc+zdetWaGlpoV69erxdupcvXyI6Oho1atTgHcumqAdUdMkhNjYWnp6eZJXp2bNnWLduHZo0aQJfX19MnDgRDx48UHIq5fM1rdPfvn2LCRMm8HaIhNCplRduR3358mUivObNm4fhw4cL7njJp3ZK8vPzAZQOzNwBt3nz5tDR0eHFU2Mdn4QYXwYovXvBmrFIp2v69Olyj9exeX7z5g3vOJSQ8hUfHw97e3ueyUJ+fj66desGMzMztGvXjtwRPX/+PEJCQqCrq4vGjRtj2LBh6N69u6CPcN2+fZu3G3737l3ExMTICK/yiA1lCxJpc4nQ0FCFBhGfam9se+XeNxFKvWTzyR5rMjc3h7m5OeLi4khdLCoqwoULFxAYGAgfHx+yK8t+Voj22+VBugy4ad+5cycYhilTaFcm0nfvGjRoQBwmpeHWxzZt2sDExEQmHxKJhOf6KpT6yCUlJYXXji5fvox27drJCC/uIoDQwjBwkUgkiIuLg5ubG1JSUsizu3fvol69ejA0NMSIESNI+JOjR4/C2toalpaW6NGjB+bNm4f+/ftDW1ubN3ZT1AcquuTAxivZt28fDhw4gNq1a8PJyQl16tRBq1atZCazQuNrWqdzzyMLoVP7XLgd9K1bt0j5MQwjE8RUCJS1UzJs2DDeyldhYSEaN26MatWq4dSpUzLlc/ToUfL/Qiw7abt7No1LliyBpaUlb5fvzZs3ePz4scyqr9AmgMOGDYOjoyP5m91tlkgkGDVqFCwsLNC5c2fk5OQAKBUtK1asQP369eHk5IQmTZoI+ggXCzddioQXAF5sNSHlRXqCGxoaqtBcgrv7XFZ74y7ECa29sfm9ePEijIyM0KhRIxmDqOLiYmzbtg0Mw2D+/PnKSGaFwi3bZ8+eoX///vD19S3TFKWyYOvL8+fP4eTkhLp16yItLa3MNlNYWIigoCA4OTnxnBoB2XtgQquP0vnipk+R8ALACysitDyx9O7dGzVq1CB/s7uPYrEYnTt3hpGREcaMGUOOg16/fh1jxoxB9erVYWJiguDgYPz888/k80LqNyn/nSotuhRdUH3+/DmCgoLI5Lx58+ZYt24deb1mzZoIDw+XieguBKh1uixsvh4+fIgePXrIuPgJqfP+1E5J+/btkZ2dDQBYsWIFnJyccPLkSV7ZSddLIeWvLNg8bNy4Efr6+mTXIS8vD1OnTkVQUJBgXdNY5s+fDzMzM54tM3e3YPjw4TA1NcWECRNkbNfz8/PJmX9AdcoNkC+87t69i++//15GiAmF7OxsuLq6omHDhrh06RJpN8+ePcPTp09x69Yt3vtXrVolt72VtZsiJNh6ePXqVWzZsoX3Gpvmd+/eQVtbG2PHjq309FUWd+/exdSpU6GtrY1Vq1YpOzmEV69ewdnZGT4+Prh58yapj6dPn8bSpUsxcOBAbN26lde3REVF4fjx44Ktc5+D9MkUaeF19+5djB8/nsQxFBrsEfmhQ4fC3d0dT5484ZlqAKV9RYcOHWBgYIDVq1eTRUT2CGVOTg7vbp4qjQGU8lFlRRd3YpqcnIz9+/fjypUrZEL74cMHbN26FceOHSPHuoBSN6Dg4GDExMQIsqNTd+v0L7X2zc3NJbGDuJf4hfYblGenpEuXLnj9+jVyc3ORkZEhyHr4X9i+fTu0tLRw584dvH//HnPnzoWGhgYmTZqk7KR9klOnThFrZnkrzxKJBG3atIGNjQ2528Td8VPFI1wsmZmZGDZsGBiGQUxMDLnvxb1TIhSKioqIBTV3V4c1l7C2toapqSm6dOmClJQUiMViPH36FP/++69Klg3LpwTixYsXoaOjg5UrV1Zmsj6bLx0HVq5ciW7dusHU1FRwd+8OHToENzc32NraEnOP5cuXQ1dXF4aGhjAyMgLDMAgICODdKVRXu/uLFy8S4TV9+nSMHTsWDMPwdoGUiaKdxd27d/Os7dn3se8Ri8UICgqCv78/2bnjzkdVeQygfJoqKbq4lblz587Q09MDwzDQ0NBA06ZNZUwJWB4+fIhZs2bBzMwMv//+e2Ul97NRV+v0/xI/TSKR4IcffkBcXBx5JjTBBZRvp8TY2BiTJk0ql1GKKsGWx/79+2FoaIhjx45h4cKFYBgGP/30E3mf0OtpbGwsdHR0eM6EwP/q76NHj2BgYIAJEyYoI3nl4kt/42fPnpHFDaEe4WXZt28fnJyc4Ofnh5SUFGzevBkMw6Bhw4YYPXo0+vXrB1tbW7i5uWHv3r2C7C/+C9J291lZWRg3bhwsLS3JfRQh8qXjQElJCZo0aYL69etj8+bN5LlQylUsFmP37t2oXr063NzcMHv2bOjp6WHUqFE4e/YscnNzsXHjRri5ucHZ2RmHDx9WdpIrBOmwEy1atCD9yezZs5WYsv8hz2GSa7TTtWtX6Ovr4+LFi7z3s3U3JSUFDMMI9u4upeKocqKLuyIxdepU2NvbY8GCBTh8+DCWLFkCW1tbWFhYyNzZ+vXXXxEREQF9fX3B2JN+ClW3TufyNeKnlXUkSCh8zk7JnTt3yDOhoOh3lZdGrt0x91hdUlIS9PT00KFDB2hpaQnKfbE8zqC3bt1CeHg49PX1cezYMd5r7DGSkJAQdOrUCYAwyu+/2KZzy+TRo0fo16+foI/wcjl8+DDs7e1ha2sLQ0NDTJs2jRiFFBcX49q1a/D29kbNmjXJfUohlBfL12hvAHDhwgWMHz8empqagjIXkuZLxwFuWJTHjx+T50Kpl9zdjd27d5M4YqNHj+bdiwRK66yenh569OiBDx8+CCYPXMqqf596zs3Ps2fP0L17d0GZQpXHYfLUqVPw9fWFhYUFWUDlpvndu3dwc3PDsGHDKi/hFEGg9qKLXVmQ3oL/999/0b17d4wcOZI3AJ0+fRr16tWDlZUVWam+c+cOGjVqhJo1a/IsxoXY2UmjqtbpiqgK8dNUdaeEbWOvX7/G8ePHsW7dOqSlpZFJrDy7+8LCQkRHR+OXX34h7Sk1NZWsbHKPfim7vX2OM2hycjLCwsKgp6eH3377jXdEOTs7G3Xq1MHAgQN536ssvtQ2XfpEwJs3b0ioAiEd4S3LHAMAjhw5AltbW3Tq1InnzMh+bt++fTKxjoTAl7a3AQMGkPZWUlKCPXv2wM3NDdbW1oKM5ySPLxkHhH73jiu8tm3bht69e/PchLmutYMHD4aZmZlMSBEh8KngwIrq5cGDB3nvy8vLE1x/8imHSW7atm3bBnd3d5iamvLKESgNou7t7U3GcKHVRUrFodai6/fff0fXrl1JXASWQYMGwcLCAgEBAThw4AAA/r2K5ORkmJmZoWPHjigsLMTHjx9x//59ZGZmkvcIeUCSRtWs0xWh6vHTAPXdKeEKEn9/f5iZmRH3zOrVq8s9ClNYWIiWLVvC3NwcaWlp5PnDhw/RpUsXrFixgjwTSnv7lDMotyzOnDmDdu3aQVNTE4MHD8Yff/yBy5cvY/LkydDT0+PFZlEWX9M2HSg1m+AeBVV2ubH//rt373DhwgWsXbsWFy5ckJmsHjt2DNu2bZP7HTk5OdDX18fo0aMrPL3l5Wu2t/Pnz2Px4sX4448/yDNll1tZqMM4oAjubuTNmzcVvj5y5EgYGBgITnSVFRz49u3bMsYRQGm9bNGiBdzc3HhHRfPz8zF58mTB9Cdf4jC5Y8cOBAYGQk9PD7Nnz8bly5dx69YtxMXFQV9fH/v27auk1FOEgtqKLolEgv79+4NhGN4KSklJCY4dO4aAgAAwDIMBAwYQFzGxWEwaFutuxBVa3O9WNVTNOl0eqhw/DVDfnRKW/Px8NGjQAGFhYdi3bx9evXqFVatWoWHDhtDS0sKcOXPIES32foWzszOSkpJkBlPu4CuUCWB5nUGlj9tNnz4dhoaGYBgGurq6sLS0FIQld0XYpsv7jLJg//2srCyEh4fDzs6OCJOePXviypUrcj8nnf9Lly5BX19fxr5a2XzN9qZKgY9VfRz4FPLuWnOfPXnyBC1atECTJk3w6tUrwfT/LGUFB160aBHP9r2wsBBNmzYl9VI6L0Jzcy2vwyQ3YPO5c+cwcOBAMAwDfX19mJqawtTUVGXmXZSvi9qKLqB01Yu7U8CKq4KCAiQnJ8Pf3x+Ojo44fPgw2eliJyJLliwBwzC4ceNG5Se8glAl63R5qHr8NED9dkq4ZGRkwNraWmZyevv2bQwZMoQ4EL569Qp5eXlo3749Tp06Jfe4iaK/lcnnOINKp/v27dtITEzEwYMHcfnyZfJc2W3ua9mmCw02bbm5ufDx8UHdunWRkJCA8+fPY9q0aWAYBkOHDuUttEl/FigVpGPGjBGkucTXaG+qiDqMA1/KgwcPyILwhg0blJ0cGcoTHDg2NpacPpoxYwYcHR1Vpl5+jsOk9PHr8+fPY8OGDdiwYQOvL1H2GECpXNRWdEnf4YqKikLHjh1JDISCggIkJSXBzc0Nvr6+OHDgANlNyMrKQnR0NKytrRUetVE26mydro7x0wD12ymR5syZM2AYBocOHQIAfPz4kbz24sULjB49GhoaGli0aBEACPYSeFl8rjNoWRMJZedd3W3TCwsLERMTg1q1aiEpKYn32pgxY6Crq4t///1X4ecvXLiAiRMnQktLS5DHr9W9vanzOPAlrFy5En369IGRkRFvl0RobfFTwYGNjY0xZswYFBQUID09HTdu3BBcHhTxtR0mVak9Ur4Oaiu62IZeXFwMiUSCAQMGwNHREQMGDCDCq6ioCElJSahWrRqsrKzQoUMHzJkzB507d4aurq4gB1pAva3T1TV+GqCeOyVc3r9/Dzc3N3z77bfkGXeCkZWVhaioKGhpaQlu1+Bz+RJnUCHWS3W2Tf/333/h5OSEoUOHkt+e7V+OHTsGbW1tEvqDWzZFRUU4ePAgrK2tBWkuwaZVndubuo4D/8XuPjAwENWrV+f1MUKojyyfExxYT08P69atE2QZKULdHCYpykEtRBc70HDdfVhiY2Px559/ori4GMOHD4ejoyMiIyOJ8CosLERSUhJq1qwJhmHQtGlTjBs3Dnv37iXfIaSOQZ2t09U9fhqgHjsl8o4DFhcXo7CwEOPGjYOJiQkSEhLIe7h19tKlS/D19UXz5s1lXK1UDXVxBlV123RFFBUVoUuXLmSRQtqK2tTUlOz2S+fn8uXLWLJkCY4ePUqeKau9ybPzF4vFatve1HUc+K9290VFRSRMCKD8sfu/Bgf28/Mj97tUoT8B1MdhkqI8VF50sQ356dOn6NWrF27fvk1ei46Ohq2tLXbu3Angf8dNpIUXe9TQ29sbQUFBSE1Nlfl+oaFu1ulVKX4aoLo7JVxDhfz8fJkB5ebNm/D29oaPjw/2799PnnPLd8KECTA3N8eLFy8qJ9EViKo4g6qrbboi2LyJxWKeMy1LdnY2rKysMH36dN5z7gSY6zCqbMGlyM7/zp07atXeqsI4oA5291U5OLCqO0xSlItKiy5p9y0vLy8yYcjJycHgwYOxYMEC3ln3TwkvJycn+Pv7IyUlRbBnwtXBMreqx08DVG+nhGsH3K1bN/j6+qJatWro0aMHEhMTyaplSkoKDAwMEBAQwIs1xk5od+zYAW1tbd4CiSojdGdQdbVN/y8UFRXBw8MDI0aMIM/y8vKwZs0amfh4yuJTdv5suZ4/f15l21tVGwfUYeymwYFV32GSojxUVnRxG769vT1CQ0PJqkp0dDScnZ1hYmKC48ePAyhtFNxjGqzwio6OJsKrpKQESUlJcHV1RXBwME6ePCnIjlvVLXNp/LT/oSo7JSy5ubnw8PBAcHAwhg4dipEjR8LBwQFmZmaIiYlBVlYWgNJB18TEBJ6enrz0v3z5EsOGDYOHhwfvmKWqI1RnUHW3Tf8v+Pj4IDo6GkCp8cTs2bPBMAxWrVql5JSVz86f+/+nT59WufZWFccBVR+7aXDgTyN0h0mKclFJ0cXd2q5evTpq1aqFe/fukY556NChcHNzg5GREYnRxb33BZQKrxEjRsDa2hrdunUjKzUSiQTJyckwMjJC/fr1eatsQkGVLXNp/DRZhL5TwiU+Ph729vZITk4mz/Lz89GtWzeYmZmhXbt25HL4+fPnERISAl1dXTRu3BjDhg1D9+7doaOjI+hjJeriDFoVbNO/BIlEguLiYvj5+WHQoEEoLi7GnDlzwDAMZs6cqezkET7Xzv/ChQsq096q6jigymN3VQoOrO4OkxTloXKii7vS4urqCoZh4OjoiMePH/PeN23aNGhoaMDNzY2sHElf6CwsLERkZCTPbpZ935kzZ5CRkVHR2SkTdbXMpfHTZBHqTok0w4YNg6OjI/mbvfcikUgwatQoWFhYoHPnzsjJyQEA3L17FytWrED9+vXh5OSEJk2a8C79C20wUjdnUHW3Tf8S2DoXEhKCZs2akR2uWbNmkfcou9w+x87/9OnTZHFQldqbOo8D6jp2V4XgwOrsMElRPioluqS3tuvVq4e4uDjY2NjA2dlZrvAyNjZGo0aNyHa+PCcdFiENSOpqmavu8dMA9dkpkcf8+fNhZmZGzukD/8uvRCLB8OHDYWpqigkTJpBJFEt+fj5v51hI+QLU0xlUXW3TuXxpe+vQoQMMDAxkdriEkr/y2vlXq1YNu3btkjEMEXJ7U+dxQF3HbkD9gwOrm8MkRXiolOgCSi8o2traon79+rh+/TpKSkqwceNG2NjYwMnJSebc+pQpU2BpaYkmTZrICC8uQurk1NUyF1Dv+GmA+u2USHPq1CkwDINp06bJtQyWSCRo06YNbGxsyMV97mSwPFb4ykadnEHVxTZdEV/S3th8duzYUeY4l9DyV147/1q1ahE7f+5vItT2pq7jgDqP3UDVCQ6sDg6TFGGicqLr3Llz8Pb2xsWLF3n3tNavX/9J4dW8eXM8fPhQGckuN+pkmVuV4qcB6rlTIo/Y2Fjo6OjIuLyxE6lHjx7BwMCAXJJWJdTBXYxFXWzTFfFf29vHjx95bo3KvnvHRZ3s/KvKOKBOY7c8qkpwYHUaAyjCQ+VEF8CPXcRO9CQSSZnCKy4uDkZGRggKCsK7d+8E03DU1TK3qsZPA1R7p4T9XbmTbWlu3bqF8PBw6Ovr8+5kAKV1TiKRICQkBJ06dQIg/DxzUXV3sc9BFWzTy8OXtDfpOzPKdpdUVzt/dR4H1HXsLouqEBy4Ko0BlMpHJUUXCzdIHft3WcJrzJgxWLNmTaWnUxHqaplbVeOnAaq9SsamLSsrC15eXmW2leTkZISFhUFPTw+//fYb725CdnY26tSpg4EDB/K+VxVQZXexL0HItunlQZXbm7rb+avzOKCuY3d5UPfgwFVtDKBULioturgoEl7c4xhclD0Yq6tlblWOnwao/irZmzdv0KRJEzL547owAfy6debMGbRr1w6ampoYPHgw/vjjD1y+fBmTJ0+Gnp4etm/fXtnJLzfq6i5WXlTFNv1TqGp7U3c7f3UeB9R17P4c1CE4cFUfAyjKQW1EFyArvBwcHGBjY0MGZKGhbpa5VT1+GqDaq2QlJSWYM2cO9PX1MXDgQHTo0AEaGhoywos70Xn06BGmT58OQ0NDMAwDXV1dWFpa8myuhYY6u4uVF1WwTS8Pqtze1NXOvyqMA+o2dn9NVCE4MB0DKMpCrUQXwBdea9asgba2Nn755Rclp0oWdbPMrUrx0wD1XCV78+YNIiMj4efnh5KSEvzzzz/o2LGjXOElPeDcvn0biYmJOHjwIHHKA4Q3cVdXdzF1tU1nUcf2po52/lVhHFC3sVse6hwcWF3HAIpqoHaiC+C7dsk7cywE1MkytyrFTwPUe5UsLS2NdxfyypUr6NSpk4zwKo8VtbIngNKoq7uYutumq2t7Uzc7/6oyDqjT2C0PdQ4OrK5jAEV1UEvRBcg2dCEYS6izZW5ViJ8GVJ1VMm5ZKBJeAN9JVGhlVRXcxdTFNl0R6tre1NXOX93GgaowdnNRt+DAVWEMoKgWaiu6hII6W+ZyUff4aUDVWyXjTgjkCa/MzEzExsbyBiKhUNXcxVTZNl0RVa29cVFVO391GgeqytgtD3UIDlzVxgCKakBFVwWizpa58lCn+GkAXSUD+APn5cuXifCaN28ehg8fDoZhBHdUpqq5i6mybToX2t74qKqdvzqMA1Vt7OaiDv1JVRsDKKoDFV0VhDpb5n4KVY+fBtBVMi7cQebWrVvEFY5hGN5laSFRldzFVNU2nQttb/9DXez8VXUcqMpjN6Ae/QlQtcYAiupARVcFUBUsc8uLqsVPY9NAV8n4sOl++PAhevToAYZhEB8fT14X0gSiKriLcVFl23SAtjdp1MXOn4uqjAN07Fb9/gSoemMARXWgousrUxUscz8XVYufBqj3KtmX3iXIzc1FZGQkGIYhrmqA8CaA6uoupo626Sy0vcmiKnb+5UXo40BVG7vVuT9R1zGAovpQ0fUVqSqWuV+CqsRPA9R7lexL7YCB0rL74YcfEBcXR54pewJYVdzF1NU2HaDtTRpVsvP/XIQ6DlS1sVud+pOqMgZQ1AMqur4y6maZ+zVRhfhpgPqukv1Xe3GAXw+VPQGsKu5i6mqbzkLbm3yEbuf/pQh1HKgqY7c69SdVZQygqA9UdH1l1MkytyIQUvw0oGqukn2JHbDQqCruYupmm07bm3rY+f9XhDYOAFVj7Fan/qSqjAEU9YKKrgpAHSxzqwJVcZVMHeyA1dldTJ1t02l7U832VpVQt7FbXfsTdR4DKOoNFV0ViKpa5lYFquoqmarbAauzu5g626bT9qaa7a2qog5jt7r2J+o8BlDUHyq6KglVscytClTlVTJVtgNWZ3cxdbZNp+1NNdsbpRRVHLvVtT9R5zGAUjWgoqsSEbplblWgqqySqZsdcFVwF1NH23Ta3lSzvVH4qOLYrW79SVUYAyjqDxVdlYxQLXOrAlVllUyd7IC5qLO7mDraptP2ptrtjcJHlcZudexPAPUeAyhVAyq6lIBQLXPVmaqySqZOdsDSqLO7mLrZptP2pvrtjSKLqozd6tafsKjzGECpGlDRpSSEaJmr7qj7Kpk62QErQh3cxaqKbTptb6rf3iiyCG3srir9CYs6jAGUqgsVXZQqg7qtkqmrHXB5UFV3sapkm07bm/q0N4owqUr9iTSqOgZQqjZUdFGqFOqySqaudsBfgqq4i1VF23Ta3tSvvVGEQVXsTxShKmMAhUJFF6VKosqrZOpqB/xfELq7WFW2TQdoe1O39kZRLlW9P5GH0McACgWgootCUclVMnWzA/4aCNVdrKrYppcX2t4olC+H9ieKEeoYQKGwUNFFoUC1VsnU1Q74ayA0d7GqYpv+udD2RqF8PrQ/+TRCGwMoFC5UdFEo/4+qrJKpqx3w10Io7mJVxTb9S6HtjUIpP7Q/KT9CGQMoFGmo6KJQOAhtlayq2QGrG+pum/5foe2NQik/tD+hUFQbKrooFCmEskpWle2A1QV1s02vCGh7o1DKB+1PKBTVhoouCkWAUDtg9UFdbNPVGdreKKoC7U8oFNWFii4KRWBQO2D1RJVt09UZ2t4oqgjtTygU1YOKLgpFQFA74KqBKtqmqyO0vVHUAdqfUCiqAQMAIgqFonTEYrFIU1NTlJWVJQoNDRU9evRI5ODgIEpNTRU5OTmR902fPl00a9YskYuLiyg5OVnk6uoqkkgkIg0NDfIdRUVFosGDB4saNmwoGjhwIPmsRCIRnT9/XmRrayvy9PRURjYp/w9bZgBEGzZsEMXFxYlKSkpEly5dEjk7Oys7eWoPbW8UdYL2JxSK8KGii0IRANwJYO3atUXOzs6iVq1aiRISEkS6urqi8+fPy0wElyxZIgoMDBT99ttvImdnZ5mJIPu3SCQSARAxDKOs7FEUwJ0orVu3TjR8+HBRQkKCKDo6WtlJU2toe6OoI7Q/oVCEDRVdFIpAePr0qah27doiDw8PUUJCgsjPz0+0detW0YQJE0Q6Ojqi1NRUkaOjI3n/1KlTRatXrxYFBASItm7dypsIcqETQGHDlplEIhHduXNH5Ofnp+wkVQloe6OoI7Q/oVCEi8an30KhUCqDhw8fiszMzETLli0T+fn5iTQ1NUURERGiOXPmiIqKikShoaGip0+fkvfPmjVLNHToUFF6erooKipK9OjRI5kJoEgkohNAgcNOkDQ0NMgESSKRKDlV6g9tbxR1hPYnFIpwoTtdFIqAePfuncjY2FgkEolEJSUlIi0tLXJGf9KkSXJX4KdNmyZasmSJyNPTU5SSkiIyNDSkEz8KpRzQ9kahUCiUykJL2QmgUCj/g50AAhBpaWmRFUv2TP6kSZNEoaGhvIngjBkzRPn5+SJvb2+RkZGR0tJOoagatL1RKBQKpbKgO10UisCRdqViV+DT0tJEDg4OMu+nd0oolC+HtjcKhUKhVAT0TheFInDYM/oMw4iio6NFc+bMEUkkElFQUJDo8ePHMu+nE0AK5cuh7Y1CoVAoFQEVXRSKCiA9EZw2bZro1atXoj///FPZSaNQ1A7a3igUCoXytaHHCykUFYLaAVMolQdtbxQKhUL5WlDRRaGoGNKxgeTFCqJQKF8H2t4oFAqF8jWgootCoVAoFAqFQqFQKhC6XEehUCgUCoVCoVAoFQgVXRQKhUKhUCgUCoVSgVDRRaFQKBQKhUKhUCgVCBVdFAqFQqFQKBQKhVKBUNFFoVAoFAqFQqFQKBUIFV0UCoVCoVAoFAqFUoFQ0UWhUCgUCoVCoVAoFQgVXRQKhUKhUCgUCoVSgVDRRaFQKBQKhUKhUCgVCBVdFAqFQqGUAzc3N5Gbm5uyk0GhUCgUFURL2QmgUCgUCqWiYBjms94PoIJSQqFQKJSqDBVdFAqFQlFbpk2bJvMsPj5e9ObNG7mvlcXJkye/VrIoFAqFUsVgQJf1KBQKhVKFcHNzEz18+JDualEoFAql0qB3uigUCoVS5Xnw4IGIYRhRVFSU6Pbt26IuXbqILC0tRQzDiB48eCASieTf6Zo+fbqIYRhRcnKy6JdffhHVqFFDpKenJ3J0dBSNHj1a9O7dO5l/KykpSdSmTRuRg4ODSFdXV2Rraytq1KiRaO3atZWQUwqFQqEoA3q8kEKhUCiU/yczM1MUGhoqqlGjhigqKkqUl5cn0tHR+eTnlixZIjp58qSoZ8+eonbt2olOnDghio+PF6WmpopSUlJE2traIpFIJDpy5IioQ4cOIjMzM1GnTp1E9vb2ohcvXoiuXbsm2rp1q2jw4MEVnUUKhUKhKAEquigUCoVC+X/OnTsniouLE82YMeOzPnf8+HHRxYsXRTVr1hSJRKWGHP369RNt27ZNtHz5ctHYsWNFIpFItGHDBhEAUVJSkqhWrVq878jLy/s6maBQKBSK4KDHCykUCoVC+X/s7OxEkydP/uzP9e/fnwgukajUNXHOnDkiTU1N0aZNm2Ter6+vL/PM0tLys/9dCoVCoagGVHRRKBQKhfL/1KpVq1zHCaVp1KiRzDNXV1eRs7Oz6ObNm6KioiKRSCQS9erVSyQSiUShoaGi4cOHi/bt2yfKzc39b4mmUCgUiuChootCoVAolP/H1tb2q37O1tZWBIAYavTo0UO0f/9+UY0aNUQJCQmirl27imxsbETh4eGiq1evfmmyKRQKhSJwqOiiUCgUCuX/+dxgyizZ2dkKnzMMIzI2NibPOnXqJDp9+rTo1atXoj/++EM0cOBAUXJysqh169ai169ff9G/T6FQKBRhQ0UXhUKhUCj/kTNnzsg8e/jwoejx48cif39/uUcWjY2NRa1btxatXbtWFBUVJcrOzhalpaVVRnIpFAqFUslQ0UWhUCgUyn9ky5YtouvXr5O/AYgmTZokEovFoqioKPI8JSVFJBaLZT6fk5MjEolEIj09vQpPK4VCoVAqH2oZT6FQKBTKf6RVq1aisLAwUa9evUTW1taikydPii5duiQKDQ0VjRgxgrwvNjZW9OzZM1HDhg1Fbm5uIoZhRGfPnhX99ddfotDQUFHDhg2VmAsKhUKhVBRUdFEoFAqF8h8ZM2aMqGPHjqL4+HhRZmamyMLCQjRy5EjRrFmzeEcLf/zxR9HevXtFly9fFh0/flykra0tcnNzE82fP18UExMj0tTUVGIuKBQKhVJRMACg7ERQKBQKhaKKTJ8+XTRjxgxRUlKSqGnTpspODoVCoVAECr3TRaFQKBQKhUKhUCgVCBVdFAqFQqFQKBQKhVKBUNFFoVAoFAqFQqFQKBUIvdNFoVAoFAqFQqFQKBUI3emiUCgUCoVCoVAolAqEii4KhUKhUCgUCoVCqUCo6KJQKBQKhUKhUCiUCoSKLgqFQqFQKBQKhUKpQKjoolAoFAqFQqFQKJQKhIouCoVCoVAoFAqFQqlAqOiiUCgUCoVCoVAolAqEii4KhUKhUCgUCoVCqUCo6KJQKBQKhUKhUCiUCuT/AHOsZg2dGT3LAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Plot the data\n",
    "fig, ax = plt.subplots(figsize=(10, 7))\n",
    "ax.bar(range(len(meandata.index)), meandata.values, color='green')\n",
    "\n",
    "# Set title and labels\n",
    "ax.set_title('Population Not Staying at Home by Distance Travelled', fontsize=16)\n",
    "ax.set_ylabel('Population Not Staying at Home (millions)', fontsize=14)\n",
    "ax.set_xlabel('Trips', fontsize=14)\n",
    "\n",
    "# Set x-axis tick labels and positions\n",
    "ax.set_xticks(range(len(meandata.index)))\n",
    "ax.set_xticklabels(meandata.index, rotation=45, ha='right', fontsize=12)\n",
    "\n",
    "# Set the size of the tick labels on the y-axis\n",
    "ax.tick_params(axis='y', labelsize=12)\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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M06ZNw7p169C3b18sXLgQ5513Xssyt9xyC/7v//4P77zzDhoaGtC7d2/cf//9mDZtmun6//znP+P9999v+bu6uhrV1dUAgDPPPLMlcMrOzsaKFSswZcoU3H///WhubsaIESMwZ84cFBYWmm5nzZo1AIDVq1dHtPKpNm7c2BI4XXbZZVi1ahWWLl2KQ4cOoXfv3rjjjjtw7733RhwbRESJKqBwam8AYoD1K6+8gosuuggAsHDhQlx22WX48ssv2wyazsrKQo8ePfC///u/eOutt/Dxxx+3/G/r1q0oLi7G6tWrcfrpp8fzLRARkQ/06dMHAwcOxGuvveZ1UYiIyEFscdIxZMgQhEIh7NixA8OHD9dc5scff2zTLUQNsqLnKCEiIiIiosTlj87gHtm/fz/WrFnT0hVh48aNWLNmDTZv3oxjjjkGl112Ga688kpUVlZi48aN+OijjzBr1iy8/vrrAIBf/vKX+Pjjj3Hfffdh/fr1+Pe//41rrrkGvXv3ZgYhIiIiIqIkktKB0yeffIIhQ4a0BDm33XYbhgwZgunTpwMAXnjhBVx55ZW4/fbb0b9/f1x00UX4+OOPWyaP/OlPf4qKigq8+uqrGDJkCH7+858jMzMTb731VkLMSUJERERERHI4xomIiIiIiMhESrc4ERERERERyWDgREREREREZCLlsuo1Nzfj+++/R3Z2NudZIiIiIiJKYYqiYN++fejVq5fpJOopFzh9//33KC4u9roYRERERETkE1u2bEEwGDRcJuUCp+zsbABi5+Tk5HhcGiIiIiIi8kp9fT2Ki4tbYgQjKRc4qd3zcnJyGDgREREREZHUEB4mhyAiIiIiIjLBwImIiIiIiMgEAyciIiIiIiITKTfGiYiIiIhSm6IoaGpqQigU8rooFAft27dHenp6zOth4EREREREKaOxsRHbtm3Djz/+6HVRKE4CgQCCwSCysrJiWg8DJyIiIiJKCc3Nzdi4cSPS09PRq1cvZGRkSGVTo8SlKAp27tyJrVu3ol+/fjG1PDFwIiIiIqKU0NjYiObmZhQXF6NTp05eF4fipLCwEJs2bcLhw4djCpyYHIKIiIiIUkpaGqvAqcSpVkUeNURERERERCYYOBEREREREZlg4ERERERElERmzpyJwYMHe12MpMPAiYiIiIjIpwKBgOFj5syZbV4zdepULF++3NVy3XLLLTj55JORmZmpG6R99tlnGD58ODp06IDi4mL8/ve/N13vrFmzcOqppyI7OxvdunXDRRddhHXr1kUsM2LEiDb74YYbbnDibRliVj0iIiIiIgtCIWDlSmDbNqBnT2D4cMCB+VU1bdu2reX3hQsXYvr06RGBRPjcRIqiIBQKISsrK+Y5i2T85je/wT//+U989tlnbf5XX1+Pn/3sZxg1ahSefvppfP755/jNb36DLl26YOLEibrrfP/993HTTTfh1FNPRVNTE+655x787Gc/w9q1a9G5c+eW5SZMmID77ruv5e94ZElk4ERECSOeFyoiIiItlZXArbcCW7e2PhcMAo8+CpSWOr+9Hj16tPyem5uLQCDQ8tyKFSswcuRIvPHGGygrK8Pnn3+Od955BytWrMCrr76KNWvWAACuvvpq7N27F0OGDMHjjz+OhoYGXHrppfjjH/+IjIwMAMCSJUtQXl6ODRs2oFOnThgyZAiqqqoigpVwf/zjHwEAO3fu1AycXnrpJTQ2NuL5559HRkYGjj/+eKxZswaPPPKIYeD01ltvRfw9b948dOvWDf/6179w1llntTzfqVOniH0TD+yqR0QJobIS6NMHGDkSuPRS8bNPH/E8ERFRPFRWAmPGRAZNAFBTI5736pp011134aGHHsJXX32FE044QXOZ5cuX46uvvsKKFSuwYMECVFZWory8HIBo1Ro/fjx+85vftCxTWloKRVFsl2n16tU466yzWgIzADjvvPOwbt06/PDDD9LrqaurAwDk5eVFPP/SSy+hoKAAAwcOxN13340ff/zRdlllscWJiHxPvVBFn7/VC9WSJe7c5SMiIlKFQqKlSSuWUBQgEAAmTwZKSuLfG+K+++7Dueeea7hMRkYGnn/+eXTq1AnHH3887rvvPkybNg2//e1vsW3bNjQ1NaG0tBS9e/cGAAwaNCimMm3fvh19+/aNeK579+4t/+vatavpOpqbmzF58mScccYZGDhwYMvzl156KXr37o1evXrhs88+w5133ol169ah0uXIlS1ORORrZhcqQFyoQqG4FouIiFLMypVtW5rCKQqwZYtYLt5OOeUU02VOPPHEiHFAQ4cOxf79+7FlyxaceOKJOOecczBo0CCMHTsWzz77rKVWITtWrlzZMhYrKysLL730UptlbrrpJnzxxRd4+eWXI56fOHEizjvvPAwaNAiXXXYZ/vrXv+KVV17BN99842qZGTgRka/5+UJFRESpIyxHgyPLOUlvHJKs9PR0vPvuu3jzzTcxYMAAPPbYY+jfvz82btxoe509evRAbW1txHPq3z169MApp5yCNWvWtDwuvPDCiGUnTZqE1157DdXV1QgGg4bbOu200wAAGzZssF1eGQyciMjXZC9AS5cCK1aw5YmIiNzRs6ezy8Xbf/7zHxw8eLDl73/84x/IyspCcXExAJH2/IwzzkB5eTk+/fRTZGRk4JVXXrG9vaFDh+KDDz7A4cOHW55799130b9/f3Tt2hUdO3bE0Ucf3fLIzs4GIDIDTpo0Ca+88gree++9Nt39tKhJMHq6vPMZOBGR74RCIghasACIulml6/HHmTCCiIjcM3y4yJ4XCGj/PxAAiovFcn7U2NiIa6+9FmvXrsUbb7yBGTNmYNKkSUhLS8M///lPPPjgg/jkk0+wefNmVFZWYufOnTjuuON017dhwwasWbMG27dvx8GDB1tajhobGwGIcUgZGRm49tpr8eWXX2LhwoV49NFHcdtttxmW86abbsL8+fNRUVGB7OxsbN++vWUbAPDNN9/gt7/9Lf71r39h06ZN+L//+z9ceeWVOOuss3QTYziFySGIyFe00rymp8u3JDFhBBERuSE9XaQcHzNGBEnhY2/VYGruXP9Ok3HOOeegX79+OOuss9DQ0IDx48e3TJ6bk5ODDz74AHPnzkV9fT169+6N2bNn4/zzz9dd33XXXYf333+/5e8hQ4YAADZu3Ig+ffogNzcX77zzDm666SacfPLJKCgowPTp0w1TkQPAU089BUBMchvuhRdewNVXX42MjAwsW7YMc+fOxYEDB1BcXIzRo0ejrKzMxl6xJqDEkmcwAdXX1yM3Nxd1dXXIycnxujhEFEYve55VgYC4K7hxo38vYEREFH+HDh3Cxo0b0bdvX3To0MHWOrRu8BUXi6DJrzfs1HmcXn31Va+L4gmjz91KbMAWJyLyBaPseSrZlqfwhBFRN6yIiIhiUloqUo5zQvbUw8CJiHzBLHseIIKmOXOAb74RY5rMeJHZiIiIkl96Om/MpSIGTkQUIRSKvIs2bBiwapX7d9Vkg5zdu4GLLpILnPya2YiIiCie5s2b53URkoKnWfVmzZqFU089FdnZ2ejWrRsuuugirFu3zvA18+bNQyAQiHjY7aNKlCrCs9QZpeyurBRZ6UaOBC69VPzs1Cny7/CsdbLrlSEb5Nx/P3DVVUB+vnFmo2BQlMeJshERERF52uL0/vvv46abbsKpp56KpqYm3HPPPfjZz36GtWvXGk7klZOTExFgBfRqT0SkOYg1GBSZgcIHseolZogOONSsdVOniqDEbL2y1DSvNTXmySG+/751Ga3MRooCHDwIjBrlTNmIiCi5pFhutJTn1Oftq6x6O3fuRLdu3fD+++/jrLPO0lxm3rx5mDx5Mvbu3WtrG8yqR6lELxhS7zUsXAgUFopgZcoUYOfO2LYXvV6Z7n3hXQPXrwf+f2ZU0+ApEADy8oCOHSODt/x80Z1Pr2xMU05ElLpCoRC+/vprdOvWDfn5+V4Xh+Kkrq4O33//PY4++mi0b98+4n8Jm1Wvrq4OAJCXl2e43P79+9G7d280NzfjpJNOwoMPPojjjz9ec9mGhgY0NDS0/F1fX+9cgYl8zChLnfrc+PHOdmHTW28wCDzySNtgqqqqbWuYeh3TCn6it7V7N7BsmQjKtm0DunUDrr5af/lAAJg8WWRDYvYjIqLUk56eji5dumDHjh0AgE6dOrHnUpJrbm7Gzp070alTJ7RrF1vo45sWp+bmZlx44YXYu3cvPvzwQ93lVq9ejfXr1+OEE05AXV0dHn74YXzwwQf48ssvEQwG2yw/c+ZMlJeXt3meLU6U7FasEGOS/EqvZUj1k58AH31kvp6KChGoAfLvubqa2ZCIiFKVoijYvn277d5LlHjS0tLQt29fZGRktPlfQrY43XTTTfjiiy8MgyYAGDp0KIYOHdry97Bhw3DcccfhT3/6E37729+2Wf7uu+/Gbbfd1vJ3fX09iouLnSs4kU/5PRW3WYuSTNAERCaVkH3Pft83bojOlsg5R4goVQUCAfTs2RPdunXD4cOHvS4OxUFGRgbS0mLPieeLwGnSpEl47bXX8MEHH2i2Ghlp3749hgwZgg0bNmj+PzMzE5mZmU4UkyghqBXktWu9Lom71Mx5w4e3PiebmS8Z05QbBUayCUKIiFJJeno60nkHiSzwNHBSFAU333wzXnnlFaxYsQJ9+/a1vI5QKITPP/8cv/jFL1woIVFi0aogJyO1O/rcuZGtJjKZ+dRkGCtWJE+ri1FgBGgnCFGzIzJZBhERkRxPxzjdeOONqKioQFVVFfr379/yfG5uLjp27AgAuPLKK1FUVIRZs2YBAO677z6cfvrpOProo7F371784Q9/wKuvvop//etfGDBggOk2mVWP4i1eXaT0MujFKi0NaG52dp2xKiwEnngCGDu27f/U/QCY74tkaHUxypyoKMZjydRWu40bkyOAJCIisspKbODpBLhPPfUU6urqMGLECPTs2bPlsXDhwpZlNm/ejG1hAxJ++OEHTJgwAccddxx+8YtfoL6+HqtWrZIKmojcFj0h7JIlbSeUDZ9A1snt6mXQi0V+PtCli7PrdMLOncBtt2nvx9JSsd+LiszXo7a6OP15xItM5kSjsWSKAmzZIgJ7IiIiMuabrHrxwhYncotsNzk35hOSzSands1ymlvrNWK2H9WWPrM5qhK51cWpzInhmQmJiIhSScK0OBElC7W7lMzYIvVWxeTJzs2hJJsl7r33nNlevNZrxGw/pqeLlONFRcYT+yZyq4tT2QGTMVkGERGR0xg4EcXITjc5pyvrshXfPXuc2V681mtG3Y8zZ4rWF60AKplTlMca8AQCQHFxZGZCIiIi0sbAiShGK1faz2IXS2U9fDxVKCS6m+lNfh4IAHl59relx631WnX//frjx5I5RbmaRdDoc8/PFz+jl9HLTEhERETaGDgRxSiW4MduZb2yMjLpxKhRwMGDogVGqxKtKM6MhYnXeq+4wt7rtm4FRo+ODJ5kgotEbXVJT29NOa4XGD3zjHayjGCQqciJiIisYOBEFCM7wY+akCAUas3AJzveSW88ldpdLroFSG1NWLrUejnDFRS4s95w6n458cTY1jNxYuv+NAouABH8zZ6duK0uelkEwwOj0lJg0yagulokgqiuFskwGDQRERHJY1Y9ohiFQqL1x2jS1XB68+vIzCmkbkuva2AgICrQ8+YBr70mumE5Zf58se6qKvn1yswlFL1sTg5QXx9zcbFsGXDOOa1/G2U9TIb5nOI1XxgREVEysRIbMHCihKNVQQS8rTRamXRVL4iQSVMum376nnuAZ581ziZnVXW12K9GgVu04mIRZJWURH4+u3aJFOHh68nKAvbvd668l18O/OIXkcfDkiXak+a6kSKeiIiI/I+BkwEGTolNq9UgP1/8lG29cevOvFbZiotFN7DCQrG9bt2Aq682bjEymlNowQIxpskpZWUiZffVV+u3mIWXaeVKucCtrEy09hjt2/DPYd06oLw8lndiLBgEHnlETJprd98TERFR8uE8TpSU9Mb27N7dtgVHK0mAuo7wpAp6mdjskBlH8vnnxq01ZmnKnc78NmCACHDGjzduKVMzr8kmwhgwQARkRgGIOs/SuHHAE0/IrbdjR7nlotXUiO3Esu+JiIgotbXzugBEMuzMlQQAEyYAubnAjh3A+vVivp/oddTUiIDMiW5aajCgMhpXY0QvQFEzxMmOpzLTs6co48MP6y8zdWrrfnEjtffKlaLrnoyDB+XXG87KvkrE+ZyIiIjIfQycyBfMus/ZnStpzx6RqtuIWqmePFmMxXGqm5baQmYnwIkOPML3z4QJIgBUkynEorZWBEZG63n5ZWDWLLFfhg83T/SQn28ttbffApVEnM+JiIiI3MfAiTyn1SoTPUYpHpVrtZtWeIuRXXZbyNRxNuGBh+y4Ljuuvx6oqzNeZssWkZQiPEOdEUURy+/YITeGzC+Bita+9yNmzyMiIvIGxziRp/TGLand59SxR/GqXFdVObMeOy1kamY3dTwRYDxn0+7dIqFCWZn9cpoFTaqSEuC++0RAZBasqa18smPI1O6HXtLa937k5hg9IiIiMsaseuQZmTmJ1CxngMhIp07y6hY1+12slWc72e/U1N1qK5vs/tmwATjqKOfGPRmJJWW42hUyPH18TY1Imb5pU+sktV4oKABuvhno18+/rTh6XT+ZSp2IiMg+piM3wMDJP2TnJKquFgHT6NGuF6lle7F215N9b3PmAN27a1fWre4fu+Op4s2om6ET47bsyMuLDMr9NiGulZsMfgv4iIiI/IzpyCkhyI5bqqkRY3zixYnxVGr3M7U1IFogIFqYbr5ZpALXSt0tWw51uby8tv9L8+E3XCt9vMqrwC+6JTO6q6jXzLp+MpU6ERGR+3xYraJUsX693HJvvWUvo55ddsZThUKihWjBAvETaO16Fh08yY6nkS3H+vWikq8VjDQ3y62DIoVnWgyFvCuHelwtXSq3vN8yFBIRESUTdtUjT4RCQO/e4s6+X9jt7qSX9W7SJJF84aWXxDgeVfRYJj1q9yy9sUuBAFBUJH6PZ2CZapzoummHnTnAvCorERFRorISGzAdOXlCTQzgJ4piPaua3oB9NeOdqqAAuPzy1uQIetuITjU9Zw4wblzbsT9qq9WECcCMGfLlJeu8aMWxOgdYoqRSJyIiSmQMnMgTfuxSNHmytWQAVuZq2r1bdN0zCpr05rOaOlV0AYx+fu5coKFBvryJZtw40YIS3lrnhfAuk/GYQ8nOHGB2gn4iIiKyhoETxV0oBNTWel2KtkpKrC1vZa4mRRGtAmpK7ugKrl4LQ00N8PDDwMKFranSwyvs6niqZLRqldi/q1aJ9712LXD//fHbfnQrjsxEzU6wMwcYAHzxhQik/ZpOnYiIKNExOQTFlTqB55QpXpeklZrhzmo3J6utZnqZz4xaGBRFPG66SQRR0ZVit1tjsrLcXb8RNWgaMUJkHjznHPe2ZZbAQ3aiZifYbY2dMaN1UtwePcR3bMUKb5NbEBERJRMGThQ3epVPu8aMERVcvZTfMmQy3EVnzFMronay7wGiYhy+zsceM98nO3eKMVIjR4rAc/FiYPly4IYb7JVB1quviu5yFRXA1Ve7uy0tVVWtv5uleLdr8uTWJBuqYLB1QlmzwFZdh1MBit3jKtyuXeKYVo8Xv6RVJyIiSmTMqkdxYTaBpx3qxK/R3afS0+UrsWYZ7vS6Zz3yiJg36de/Bvbts1bu8nLg2Wf9nQkvOsNgZWX8JiCOtnRp6+ejBt+Ac3M+LVsmfqrdHkeMiJxXy8pExEYZ7WTHRzn9XVEDTTUQJCIiolZWYgMGThQXspVPWcXFrZX66Arprl0isQDQNhOdoojApV8/87EgVjObycjPF8Gen7914RXtkhLx2Y0b13aS2HiVJTpFvJ003XoyMkR3xPD3Fj1uacEC0QXOTEWF6FKoxcr4qMpKYOJE/UmC7bCbap+IiCjZWYkN2FWP4kJ23EZZmej2ZCa8a116eus4mBEjRLCzZIl296ulS4Hp01uXNeqeZzWzmYwDB/wdNAGt3dQA0fIxapQ3QROgPS6stBTYtEm08JSVxbb+xsa27y163JJs1zm95ayMj1KXdTJoAvTH1xEREZE8Bk4UF7KVzxEjWivtevLzzTPghVeuKyrEz40b5bsq2c1sZubQIefX6ZS8PNFtbeNG8beT49H0yCafiA681WB55kznxz1Fj1syG1ull1wkFBLj0CZMkBsf5VawHs6P0wAQERElCqYjp7hQK581NdoVQ7UrEWBeWd+9WwQ26ngSvbEjauVaVvh61q6Vf12iUwOCZ58VmeviUYEHRGvRiBGiRcuMXuCdni66u6mJQpwqc3gLzYgR+ttQ993s2W27i06ZYn4sR7cEuR2oOpF4goiIKFUxcKK4MKrghme227FDbn3qnXOn5tZxctxMolEn01X3l1utbdHOOUc+oDZKFV9aKlopY0kSokc9zvS2EQwCl1wC3HZbbPvM7ZYgmf1IRERExhg4UdwYVT7VirvshK49expPGquOc5IJntxIAuF3c+YA3btrJ8iIpRI/Z46YqHfKFNHqYhYMyQbUZgkNSktF983wVp9hw8Q8UDU1wNtvAy++aP39hLfQaG1DTUQS67HjZkuQlf1IRERE+phVj+LOKC2zmorZrAViwwbgqKP07/LrZRGL3vawYcbrSTYy2dXsZEDUSl+ulTZcLzW2VoufWap4K+y8p2AQmDdPtIJqBZhOpQ0PBsV4PEAEs7EmhkhLA5qbW/92cj8SERElG6YjN8DAyf/M5uqZPBno3Vu0apgJn1tHq3JeUCBaDVKB7Hw+ZsGr7HqtBkOy8xzZYSfIyc+PDGKiu4A6lWI/Px945hnRmhVL4HTRRcCkSWK/rVrlzn4kIiJKNgycDDBwSgxalW47Y1YmTRITt8bapaqkBKiqsvdav7DS8mBlwlujMWVuBkNWxdolMzpAlJ3fSXa9M2cCM2bEti474/uIiIhSGQMnAwycEoda6a6qEhX+WMSaKOCmm4AnnjBfTs0Ud/HFzs/FY4fsZL9a7rtPriK/bJlI9JAIKiuB66+338oY3iVx5UrnJnUOBICuXZ2bL2vyZBHss7WJiIjIGCfApaSQni4qfmbzOsmINbvaaaeJLlV61Ll8Zs4U5fZL0CQz2a+efv3klpPNhKgKhUQ3twULxM9YPxsrSktjC8LD04ebze9kdb1OTjI8d64I6vr0iZxgl4iIiOxj4ES+Fq/U2Gb+/GfjYEhRWrOW+WGS0WAQuPfe2NYhm+nNSka4ykpRmR85UnRz86JyX1QU+zqWLhXH5pw54m+nJuDNznZmPSo1wySDJyIiotgxcCJf80MQAgDvv2/8//x80TUK8HaS0UBAPB59NPYuWmYtKmorm+zcQOoYo+hAON6Veydaih5/XAR9U6aIOZwKCpwrnxkrwZXaEXvy5Pi27BERESUjBk7ka+vXe10CObt3ixYIwNkuXFYFg/LzV5lR51gC2r4Xq3MDhUIi2YfWiMp4V+6N3pdVW7cCs2cDO3fGXi4A2LfP+P+BADB1qrV1hncvJCIiIvsYOJGnjMa7hEIiTXOiULPuyVTM3QiqyspE0gInM6qpkxZHd2+zGqCZdbmMd+Ve7335RVZW21aswkIRfDY322tN9EvrLRERUaJi4ESeMRrvEgoBjz0munElirlzW7ub6VXM1YDJjVyW55zjTga10lIxQWt1NVBRIX5aDdBkK+3xrNyHv6+ysvhtV8b+/SKTY3W1aIkrLBStWnPniqQfdlrmvOxCSkRElAyYjpw8oTenTiAgnouefDQRhKeqVgMYJ1OqG8nPB2pr/Zt6Wnay2PAJi+PJqTmZnJSfDzz9dGzzjwHaxyURESUeP82NmEysxAbt4lQmohahEDBxovF4l0QLmoDW7mYrVrRm1+vZExg2DLjiCne3fcst/j55quO+amq0P3e1ci+baMJp3bp5s10ju3cD110Xe9AEyI9FIyIif6qsFN21w7u9c9Lz+GPgRHEVConKYCIGRrLGjYuck6egwP6EqzLy82NPPe42ddzXmDGtrYoqryv3lZUi8PSjurrYXh8Miv3KiyoRUeLS66WjZqV1KikUmeMYJ4qbykqgd29g3jyvS+Ku6IlM3QyaAJFAIxFaE5xKNOEk9WKUSGPpZM2Z43yyECIiii8/ZaUljnHyujgpQ+9uCdlXXJyYrQl+6aMdColkJH6YYNlJHNNERJQ8/D5GOBlwjBP5itHdErKmrAwYMCCxB4Wmp/vj5G6WIj2RcUwTEVFy8GNW2lTGwIlcl4wV1OzsyMlK8/LadtFzwznn+CPoSAbJeJFJ1FZIIiLSJjuVBKeciA8GTuS6eFVQAwExfmbePNG0ff/97m1r3z6R9OHyy4GSEtGqNmqU+evU+Xis8jrrnFfc7NaXDBeZe+4Rx1RhoTj2E7UVkoiItPk9K22qYXIIcl08KqhqZrZHHxWtMjNnihOJ+ryW6ApmcTGwaJH561S7dom7+1VV4m+j1wUCYv1bt7ZOJFteLp4325bXWee8YjRBshPUi1EiGzhQDAq+7DLREplKxwcRUSpQs9ICbesLqVo/8BIDJ3JdPCqo0ZnZzE40gYCY9FQNYqqrxWD6sWP1X6dn7lzR2nTwoLgbZHRiy8gQFdzx44Hp07WzzEWf/LzMOucVNZlIdBdPNfWqE8GTeozIfs4ygkERfFdXi4CmsNC5dWtJhlYzIiIy5sestKmKWfUoLu64A/jDH5xf76RJwOjR+l2UtCaMkxkHovU6M+r8RPn5kfNUmW0vujvasGHAqlXeZ53zilm2O6ezxtn5rPUsWyZaPFWhkOg2Gj23V6xk94FfMhgSEVHseE53h5XYgIETuc7NtM8y6TeNTjRm/7vkEnE3R1b4OKsdO3hikxX+OdTWAlOmmL/GydSr6vZffVV8duETzwaDwOmnyx0HelkPY0nHrzdhsNldRs4yT0REZI6BkwEGTvEnOweBFU60OphVLEMhoEcPexPYcj4FeXZbfCoqRJdHp2kF0ytXWj+Go4OUykrgllusT7YbnVBEtsVUK1CTDbqIiIhSBedxIt8IhYDly+29Vu3ypnfHPZbBkHoVS3UMzZIlIsW4naAJSM5U126IpSXGrfE9WvNMmWU10hJ+LJWWikdJCfDAA8CMGfLlmTNHtGLKds0wm2U+EBDjr0pK2BJKRJQI2EXPP5gcglyjZkWzkha8sBCYP1+02NTWAkuXOj8Y0qxiCYiKpdWWgXActG/O7sTIaobCeKReVccoLVoETJjQun0Z4cdSKCR+T08XSUGWLhXp7GUUFbUmFJHJnPfAA8atd4oCbNkiLsJERORvbmeYJWvY4kSusNOSEAgATz8dGRCpd+mdvNNiNiGvWrHkfEvusjMxcjxTr2p1IczPFz/Dk38YCQ9SwluxSkuBCy4Qx4recWbnWKqslG/NYqsoEZG/GfWOGT1aTGvSrx9boeKJgRM5zk5LQn4+8Mwz2q1IWl2nYiFbYSwstNY9i/MpWGOn4h4Mmo/vcYLexWrPHvGcerFau1auRVXrvWZkiBsFY8aIv2Ptjqp+72SxVZSIyL9keseE3yhj8p/4YFc9cpyVloS8PFEJra2N35ddtsJYVGRtTifOp2CN7OcwZ07kXFslJaL73IIF4qfaDc4pMmOEnntOpBgPTz1uRO+9Ojk3h5XvXby6OhIRkT1We2U4Oc8h6WOLEzlOtiWhrAyYOTP+rTMyA/3z8kQFuqREVGC15oKaPVu0SnGwpj1mn4PaVe3mmyPTerudYlu2K+fKlfLvwShIcao7qpUWPLaKEhH5m9VeGUz+Ex8MnMhxsi0J55zjzRc7PV1UtMeMaZuxT7VnDzBqVGulfNMmZrRxmtHnoNVVTSYTohPBk+zFats26+9BjxPdUWW/d+XlbBUlIvI7O92p9cbVknPYVY8cp96F1+veFs+saHr0ukhFUyvlVVXWMpuRHNmuarKZEJ3otid7sVKXc7K7XSzMvndqme69Nz7lISIi+2TO6XqY/Mc9nACXXKG2DgDad+H9MhZITTc9bpxoZdITDIpWp2QMmPwwP4RZGWQnUXZi4uFQSKR6Net+Fz35snosrVgh/h4xQj/IdmufJ8r3joiIzFVWiux5VmldC/1wrfcrK7EBW5zIFX65C28mPV08jIImQIx5eeCB+JQpnvwyP4TaVU2vRc9K9zknyqKXFMSo+11VFXD11SLL3v33i66eWvvSzX2eKN87IiIyZ6cXRX5+2x49frnWJwO2OJGrEuEOx4IF4kQiY+nS5Kl86o0Z8mPrRDxbnFRaiSiKi7XTocvuy3jt80T43hERkTa1B8MFFwCHDll7bXm5mGhdlUjXeq9YiQ0YOFHc+LUyJ1spB0TFObqLViJSu6PpZY/T647mFbvd55zYrtkxK7svN2wAjjoqcfY5ERHFn9ZNO1n5+WJ6F/UaYvda79f6mlusxAbMqkdxEY800napAzBlTlLJkq3GSsptP7xXmex1s2c7f6KXyXYnuy+ffDKx9jkREcXOShCi1zok65lnItcte31asUK8bts2YP164Nln/Vlf8wMGTuS6eKWRtkutlMsOwEyGbDXxHDPkFHX8jlYAfsklwG23eXOil91H33zj7Pq0pNpdQiIiP7Ny0zgUAiZOtBc05eWJ7ZSURD4vez0xS5Dll/qaHzA5BLkqnmmkY1FaKvoFy7Azt4LfWE257RelpSK7YXU1UFEhfj7yCPDww23vqsVrFnXZfXTUUc6uLxoH/xIR+Yd601j22vTAA8Du3fa2tWcPMGNG23O+7PXELEGWooiHH+prXuMYJ3KVF4P67Uq0cT92qC0SNTXAlCnArl3OjBnyqqXDD5+Z7PgrdYyTG+O0OPiXiMg/rF6bQiGgWzfzAMZM9DnfrBx2+KG+5jSmIyffqKqSW84PXcLULnuBgLU01IkivEXi8suBnTv1K/CA/Hu109KhZgxasED8tHsHy8pYrVjplVk2fXlGhr005zLlSoRWXSKiVGH12rRyZexBk7peoPWcn54uemU4afbsts9ZuaY7df33jJJi6urqFABKXV2d10VJek1NilJQoDbwGj+qq70ubaulSxUlGIwsX3GxeD5RLV2qKIGA3Gdh5b3qrVd9rrxcUSoqxOfb1NT6muj9Gwza278VFXLvqaLC+rqj36dZmWWPG6ePr+pquX0wZ07rZ0BERO6xem2SXd7KY/ZsRSkrU5TLL3d2vWlpitLQ0PperVzTnbz+O8lKbMCueuQa2W56hYWixclPLTmJPsg+vPzduomJWY3ufhUWAnPmiIlT1feqtQ8Aa+sNFwyKCW4ffti5LmXx6ApqpRuc7HFjtm+tHHNW5iFjZiQiIvfJXpuuvhr42c9ECvEpU+TWnZfnTOtULObMEa1aZlkAy8uBe+8V1zI/dynnPE4GGDjFj2yFbvJk8SUkZ9idAyI8uNBaR36++Gl38KoZO2N83J7fKV5jqGJJ129lHjI/XKCIiJJdKAT07i2uTbLUG5Z6MjOB118Xv48aFVv5YnXuucCdd8rdPC0oEHXBigoxrlqL12PIOcaJfEE2m0t0+sxE4re+unpZfGSo48z01rF7t3tBE2BvPJLZ+CJFAa67Dli0yN7nE48xVFYzL0VT5yGLfv965QU45omIyE3p6SK1uBVm5+SGBqCuTtzglD3nu+Xdd0XwJlPX2LUL+OMf9YMmwNnxyG7zNHCaNWsWTj31VGRnZ6Nbt2646KKLsG7dOtPXLV68GMceeyw6dOiAQYMG4Y033ohDackqmQpdcXFrN6VE47f0z0ZJAmT07Bn7OpxgNVGIOr9TUVHk83l5opVsxgz7n4/b8105kdjBKHjUkkgXKCKiRNWvn7PrCwTE9QCwds5PJH5IFGbG08Dp/fffx0033YR//OMfePfdd3H48GH87Gc/w4EDB3Rfs2rVKowfPx7XXnstPv30U1x00UW46KKL8MUXX8Sx5CTDrDUgEEjcLHWxthI4SW31mjnTXktTINAawJq1sMSDnXmMoud3Ki8XfcCjW8isfj5uz3cl26L12GPGrZp6waORRLhAERElKqfnQQy/6aWe8/PynN2G1/w2d6QmlxNVWLJjxw4FgPL+++/rLjNu3Djll7/8ZcRzp512mnL99ddLbYNZ9eIv2bLUNTW1fT/RGeWKi+OTwUxr31p5BALioX4WbmT2sVIWJ/abk5+Pui69jISxltnO/jbKQNTUJLLnyazHT5ksiYiSjdn1w+5DzcRnJVtuIjziVW/SYiU28NUYp7q6OgBAnkEIvXr1aoyKGhV33nnnYfXq1ZrLNzQ0oL6+PuJB8RXdGlBdLQYAJurg9HjOHWQklvFMqmAwMlFAvO72uDlPlpOfj+wcTXbLbGd/G7WapacDN99s3kU2Pz9xu8gSESWC8OuHk/zSrd5pidIDyTeBU3NzMyZPnowzzjgDAwcO1F1u+/bt6N69e8Rz3bt3x/bt2zWXnzVrFnJzc1sexcXFjpabjKndyBYtEn+PGycGNibCl0OP2+NeZNg5aapZa5Yt0w9grSQa0Ftvebn+JMKBADBtWtsuZdEBXCyc/nz0usE5UWY7+1v9zPXGPqkXa6NjY/du+cmpiYhITnTCqJISYOpUZ9btt271TurYMXEShbXzugCqm266CV988QU+/PBDR9d7991347bbbmv5u76+nsFTnCxZAtx4I7BzZ+tzyTCPjNvjXmRYPWmqFfNHHwXOOUd/ObXSPWZMa1Y6O+sdOFA7vfbcueKznzXLvXmy3Ph8SkvFSd3pMlvd36rwVjOt+alKSkSrkl4WRHWQcUmJdzcxEn2uNCKicFrTShQVAYcOxb7u6B4Odm7MZmcDf/6zGBc1dizwww+xl8spBw+KQNOofuIXvgicJk2ahNdeew0ffPABgsGg4bI9evRAbW1txHO1tbXo0aOH5vKZmZnIzMx0rKwk5447gD/8oe3zW7eKSmIizyOjthKYzR3kZlcoqyfN8KDFjNrCIjOPk956zQKN9HT7E9KacevzcavMevtbht5xsHKlcep4s8DLbbHMW6Vi4EVEfqE3uauVeZyMRF9r7dyYzcwEGhuBzz/3V9CkYuAkQVEU3HzzzXjllVewYsUK9O3b1/Q1Q4cOxfLlyzFZzckI4N1338XQoUNdLClZsXixdtCkUhTv73bHwqiVwMmxOkZkT5plZeJEZLVSqRf4APKVVTeDIyN++Hysit7fsrPI6x0HfuhOqseogiF7U8WJwIuIyAlujzcqLAQ2bAAyMlqfU28QWrnZtmsXcPnlzpcv5bifq0Lf//zP/yi5ubnKihUrlG3btrU8fvzxx5ZlrrjiCuWuu+5q+fvvf/+70q5dO+Xhhx9WvvrqK2XGjBlK+/btlc8//1xqm8yq566mJkUpKEiNrF562QIXLRLvraJC/HQjS4zb2d6SgVE2x6Ym9z+jWMT6+VZX+/M7aDfjYfjnVV6uvV+iM0QSEcWD7Pk2lofWuXratPhmvZszR1Hmz1eU2bMVJS/P+fUvWxbnDy6MldjA08AJgObjhRdeaFnm7LPPVq666qqI1y1atEg55phjlIyMDOX4449XXn/9deltMnByh1qxKSuT/5KoKTUTWXQFfPHithVDo/TRsVBTkUZXIlmBbKUVIGkFVG59RrGI5fP1a2BtJ6CzknKfNwyIKN7iMY1HdH3J7CaUk4/o86obgWJ+vrfn7YQJnLzAwMl5ducSSvQWp2h6cyq4Gcgk2xxZbvPiM4pFLJ+vHwNr2QpGrPOUJNu5hYj8y4sWp3hsU+96MX++9fVkZRn/3+trb8LO40SJx+5cQoWFyTWPjFEfZ/U5vfTRVrYRnuY0FEq+ObLcFI/PyGmxfL5uplG3y0rGw1jGDXgxdouIUkf49TgUMp9WIisLKCiwvp3wFOTh4nWOi75eVFaK66RV+/eLqUii878Fg8DSpYlVZ/FFVj1KTLFUbJ580l+D82NlZdJVOwkTzAbDe5GEIdG4/Rm5JZYkG26lUbfLLOMhIG6q1NQAjz1mf56SeE3kTESpR+t6nJ8vzml600rs3y8eeXki9fbBg+bbMUpm5OY5rrAQmDNH3HRTrxehEPDAA8CMGfbWGQgAL78MfPMNsGqVP65HdjFwItvsTsA2bZpopUombmYxcyILGfk705wdsum4vcpuqEVm3qqdO+1nforHVABElLr0rsd79oifeXnGU0Goy8kwmkZE5iaUVWqg9vTTkdusrARuuSW21OrqjclVq/xzPbKLXfXINjsVzM6dxeSnyUb27k9tbWRXOz1qN4CXXgJuuCGxupf5VTwmLtbqTumGykqgTx9g5Ejg0kvFzz59xPN+p9eF0AmK4r9U80SUHMy6ewcCQMeOwNtviwAqVrNn698UVW9COUmrG7caKDo1H1Wi3Jg0wsCJbLNTwTxwQNwlTzbq3R+jPs7p6WJuHrOKbnil+PLLxR14PepdnMceY/Bkxuwz0utLLitewYzeuEK1BTJRgid17Nb8+aJriBPS0oALLnBmXURE4WS6e2/dCqxda61lSc/ttxtf19WbUHaCtOJiYNEi4/GzbsxPtX69c+vyCgMnsk0mWNBidMchXnfsnRZ+90dvf0S/F62Krt1kG1OmJE6Lg1eMPqNYJ8aNVzDjlwQXTnxP1S6ERUXGNwesaG4W4yeJiKwyO6/JtpZ8840z5VHH3BopLRUBkIw5cyKDpLFjxTl4/HjxM/raZ3c4hpGZMxO/nsLAiWyTCRa06LVUJXL3I0C/C5JeRTy6ohvr3Z1EanHwihuZ5pwIZmQDESsJLqySLYPT31Onu244VWkhotQhc16T7WVz1FHOlUvm/DhihFxviptv1g+S7G47fBv5+ebLKYoYftDYKL9u34lDenRf4TxOzpOdx8locko78+toTW7qB+HlmjNHfo4GJ+Zl4ASgcpw8duxM6hrOyoS8VudBkiVbBjfmwZLdf7/6ldxyc+ZYLwMRpS7Z85rsxOINDcbLWXnIzknnxrx9VuskkycrytVXyy1bWOj93E3hOAGuAQZO7lAropMn659QjAIgo8BLKxiwUtn0kpWKrpOzj3MC0PiJJZixGojEGqRpsVppsPI9lWFWGVEfXbqYL5OeLiotREQyrJ7XZAMUveWsPPLzrZ1PY5kw3WjfyJx37bw/P006zwlwKe7U8Qpz5ojJzLQmOdPrCmW1+1EiDY63ksnNyXkZkiFzjZ+Fd2urrZV7TfTna6eLn9MJLqyUwa1ugunpovuIVhnC7d1rvsxttwEZGda2T0Spy+p5Tba7txPZQ2+5RbtLnV636lgmTNciOxwjljG1iZgVmPM4keOsTrppZX4dmXSgkyeL7YdvT2/OG9m5cOyyMuFnjx7my+bmAnV15tvlBKDu0Zr8UD2WtOjNLWRnQl6jeZDsJLiwUga35sGqrAQeftjaa7SUlAC//33s6yGi1CF7vqqpEUGKWlcwmshVrVc0NADz5onnduwQGeWefVYu4UJ+PnDvvW2f17r+BIPiulBa6vy8fWoAqLXNgweN56wyo3WNSwQMnMgVMl9e9eSydq3cOnv2lK/oPfYY0L27eM2uXSLrXPSXfvx4ccdG7wTkBKsTfurNPq5Wip99VtxV1wuuOAGou/QmPzQKmgDtYMZuIGJ0IdObLFF23XqWL5dfpzpXmcyNCCfT3f7732J9nMOJiGTJ3mScPFnUJVRqXWHcOBFQzZwpng8EgKeeily2oEBk+5w+XQRDK1cCr75qPA/TM8+0PZfpXX/U3jZ2ExyZ0boZHgoBo0Y5s/6E6yETh66DvsIxTu6TGXgvm1BC7QcbDCrKsmWKMmmS/f7Csttyo9+tlQQaat9mvX7KbgwCJfPj1qwvvFZfb6P+5bGOV3IiwYUTCUmM3r/ZuEOnt8+xfURkhew4Hr1HVpb8stOmiW0a1Qf0rhlujTG1K9nGZDM5hAEGTu6SSdqgNxhd72QAtA0k3Hy4dQJSK7rz54uMMkbbVwNFvUqx04NAU53Rcat+bmVlcsfPnDmRn5tegCObocnNC2GslQaZ75JRMO/kxRcQN1b8lGGTiPzPiUQOso+pU423s2iRdhljudHmRgZi2fLk5sa/rmUHAycDDJzcI5OdS+auffgjngFT9KOszJ1KmFOZ0fyajj3RGB23do7B8Ox5ZjcS/NB66ESlwSirUvTF0U66fqsPP2bYJCL/Wro0PvWNtDTjc2X4TdNly1p/l71xF5291a0MxLI3/hYv9v4aJ4OBkwEGTu6QbUZetkzuy19WJpa1EmS59YhueYg1UHFrLh6yzmogL/NQA17ZNN9+aD2cOtX4gm70yMmR3y9a79VuKlujh98uykTkb0uXel/XcPL6o74np+fdi95nsqnZvb7GmbESGwQURVG8G2EVf/X19cjNzUVdXR1ycnK8Lk7SWLFCzLRtpqwMuP9+8+UqKsQARJl1uk1N1JCfH5lBxm4iCdl9VV2dWJlmEpHsZyFDTcyxcaP4u08f/UQm4cvGI7sjELmNbt3Eczt2AFVVwMKFzm5Ly+TJ4vsSrytO9D4mItISChmfrxOB1jXFyjXILq0sf8XFbRMVxeMaFwsrsQGz6pEjnM6K0rOn/DonTQKOOkpkznODWtGLTrtpN5ONWYpyZsaLH6eO2+jseStWWEs17nQK2WhaF7d4+/Of7QVNWVnA/v3WXxe9j4mItJhl6/U7reytdqa7UFmZvkV2+hm3r3HxxAlwyRGyKT1HjJCfwFN2naNHAzffbLxeN6iVQKsTuBlNKmdnLh6yz6n5rqInP3RrziM79CaMjrd9+6y/JhAQc5cVFNjfbsKluiWiuIrnOSI93fl6SvT1B7B/DaqsFC1VI0cCl14qfvbpA9xxh/bzlZWtQdH48a03ApMZAydyhNqKYhYQjRghHzTIrlO9uyEzw7WquBiYNk2sPxbhd22skJ19nNxldoyZKSvTnp1dNiBbuzZy5nenOTlPkhcURbTMhs+JYhUngyYiI/E6RwQCYh5G9fdYlJWJIQ1a1x9A/j2FL7dkibgRHX2TbetW4A9/aPu82uumstJ6+ROa6yOufIbJIWJjlCBh8WL5gdqygwWtZh3TW++iRfopoa2kmtZ72E3kwMx43rOTVc4sjarVNN9uZYFzep6kRHvk5/M7RUTGmpoUpaDA3XNR9FyMsSYlksm6a2W6i0WL7CXq8VNK8VgwOYQBJoewT2uchJogAdAfQ6E1UBCQHywoO/jQ6nqjX9Onj/64IzNM5JDYtI4xNRmImhxEpd4pNGsZVLvIAebHlLrOhQuBwkLnBtAuWCC6VaSq8nJg+nSvS0FEflZZCVx1lb2xlFqys4GbbhJdjHv0ED1Los/l0cl6rr5arv5hJamD3jUo+hpWWSlammKR6HUgS7GB62Gcz7DFyR6zuW6MHnoTulkRj5YZN1oeKHFoHWOxplG1emcx+o5frC1RqdzilJYmWsGJiPTo1W2ceFg5f8vUP+ykETe7hjk1JUeiT5/CFicDbHHSZtRKE0uqzkRLCexGywMltljTqKqvX75cLhV/uFiPsVhbUpPBokXA2LFel4KI/MbtNORa52+j64lZ9lOjnjZGjLbp1JQcqdTixMCJDLvglZY688VKpC+V1kmmqkq/u6BMKk4iu93mYr35YKXLYCKKvqERLT0dePnl1n1ARAQ4O4+fnvDzt1Y9Ino+SL359pysW4RvY+1a6zf0wtm9PvltXifO40TS1EpVdMUjfI6ihobYt5NIKYG15hvQm6ugqqrtHSu7E+NScrObuUlRYpuPSM3gaGcep9mzgU8/BebPt77deDELBkMh0eK0dCm/k0TUSrZekpMDnHuuOIdYpZ6/H3gAmDnTuK5VWur8fEfRAcquXWLOSyda2exOn2J2s97v2OKUwkIhoHv3thO7hissBCZMAB58MLZtJVKLkyy9oJNd+EhLrN3mKirEPBmxbH/lSrH9N98EXnrJ/DWTJgEXXSQ/cNnPiosTp8swEblPtsVp2TLR6hNLop28PGDPHu3/OTGkQbanjJMKC4Gnn5brhqjya72JXfUMpHrgFH5gv/MOMG+eu9tLtDFOssz6Rifr+6bYxNJtzombD2Z96PXojfNzypQpwIUXWh8HlpYGNDfLL5+MN3CIyB6zm1nh1/GVK93v1mf3/GQ0NttN8+cDl12mXwa1FUntrVNTI871O3dqr8/LehO76qWYWNJ6x4PVZtxEsHKl8X6MtXsVJSe9bnPp6fqT4KoXk+HDrW1Lq4vGuHH2Ah/1TmlenjsX4yVLxASLw4eLmzmy5ygrQROQWF2Gichd6emiYj9mjH7yJ7X+ok6WbrXlPRAAunbVb20KZ+f8pNeC43bQBIg060ZlqKkRac5lg7hEqTcxcPIBrcAH0A6GZPqravUV1Tuw3TZzZnJ2V5M9wbGiRtG0xsupQQ1gfPGWpXWTJD3d/vdfUURZOnYU3VZefRV4/HF769KiXiz37AEOHjRf3ijQNGJ3nJkf+G0wNVEy0LuZFQxGZrAzCrL0qOfvW28FZswwX97q+SkUEut2sl5XVgYce6yoV+7aZdwSN3y4cRnU56wGcb6vN7mYFt2X/DaPk1aO/fx88YieD2DaNLl8+2qu/0WLxDwu8+crSmGhN3OpJHpufz2y8+OYze5NpIp1zqjw9bg1L4l6TLsxP9SttxqXu1MnRbnlFkWZM8fe+hN5vjWtYyPWOb6IUonZXJCyc0Xqnae16mfq+VudK0nv/GZ3Pkg3zsNqnUVvXqnouaTcLEM8WYkNEIfy+IqfAie3KzjRk2l68UjWwMGtEyGltlgnenZqMkOjR0WF+fFv55GWZvz/YFBst6LC3voTdTJco8nHrU6GSZSKnL7xoHeeNjp/ywYiVtg9F8rWWWRu5rldhnjhBLgG/JIcwu2J17yWCskR9Ab6e50dhlJXPOYlUQcwezE/VHW1+GnnPSZiYggmoSGKjZ+yuGl1oY5lPkinzvdG+8Ksi3A8yhAPVmKDtDiViaKYJRdIdIqSnEkhwql9o9UBkqpgkEETecPNvuGBgLjIq2Mw9Y5/N23b1jpIW73QWnltorGShIaIIoVCwMSJ2jd21OcmT7Y3XtKO0lJg0yZxE6eiQvzcuFH8r08fEYBceqn42aePCLSM2D0XRjOqs6jzSo0fL35G1+niUQa/YeDkkUS8iFNbeifCRPjyU/JxK/mBXpKK8OO/rMydbYfr2bN1kHZ4uWRfm2iYhIbIvssuM05M4MWNh+hApKpKtIhF3yBRJ8Y1Cp6MzoXq3/n5kc8XFwOLFjlXZ7F7PgbEPFDz5ydevYld9TwSjy41brnxRuCoo8RM2G5O6EZE1shMsmuUka64GLjkEmDBAu3uJEYXNje7H2udT2SnV0jkc5HsdSIRuyESuWnx4tZMpWZinVzcLqe64jrdBdAOo7mk9FK9+6mFiRPgGvBL4CRTwfErK+MMqqvFF5VpdIniw2zs3cKF4k7ftm1At27iuR07jKc9kP3OujHtgUz/+6oqUUlIhAu0FTLBaHFxYgaFRG4JhYAePUQ6bRle3Xhw8sZIvKcrkJ1Gp6pKP6jz0znZUmzgapoKH/JTVr1p09zNfuX0IzzjiWwmlcmTmUaXKN6cSm3u1LbDv/v5+cbZ+KKzgcqW28v37Caz68S0aV6XkMhfrKTIzstTlGXL7GcyjYVsPcpv07pYzVIYa7bYeGBWPQN+aXEyuzMrO8FavC1dKu4SxNLVMNHvAhMlAi8nTFW3XVMD7NwpWriKilrvQMq2iFktd7JNEssWJyLrFiwQSRZk5OQA9fWtfweDYsxOPOomidgV109ZCp3ErnoG/BA4JXIq8p//HDjvPOD664FjjrE/liKRxx0QUWyM+uQn4kXXLYlYsSLyWrxv7Nq9YWM2ZMNv9aRknh7BSmzQLk5lojDxTEV+003AE084t7633hKPqVOBCy4QX3itcQWKYpziMzybDS/4RKmltDR+g5YTGbPqEVmnpsi2U89SFFGHufVWIDfXfPznrl3AlCmR21JbrczOcWpGujFj9Mdn6k3r4kXrupXpEZK5XsfAyQPxusgVFrrX3S8UEl1uzjgD+OqryOx6wSAwerT4wpvhBZ8oNalped2SDN32qqrklkvEVOtEZux+h8MDEjt1IEURAcKoUa3PBYMi8150xlEtNTWiDqRmlQtfR3Q3QHU+vOgW+GBQvwVeq8U+Hl0MeSNH4DxOHojXRW7nTuDJJ93dxt//3ho0ZWcDM2aIZtqSErnX84JPRE6rrLQ3oaSfLF4sxnuZCQZbM1oRJYtYvsOhEJCXJ4KLwsLI/xUUAFlZ1suzdSvwhz/ItWKpwVr0HFJ6czNZmQ9SHWNkZ96nWMnW15K9XscxTh5I5FTkMqZNA2bNSqy+u0RkLPru77BhwKpV/mvRSYbBy1bSKZeXA9Onu18moniJ5Tus1RqTkyPOV+edBxx/PPCzn7lTbhmx1H28HmMUCgHduxtPKpyfD9TW+uNaYAWTQxjwQ+AEuDPfiV2nngoceyxw8cXizk54hhm7Fi8G0tKMs2clQgWGiLQrI9HJX+KZjUqP1xULp1gZ3O7V5J1EbojlOyxTr8rOBvbtc6y4ttlJ6OJ1shgGTgK76nkoL6/tc3aakGP18cfAiy+KZA9OBE0AcOONorvekiUiDXG4YJBBE1Gi0OsaEp38Re0qsnixuMAvWCB+GiWJcZqVwct+ZmWMQLJ3i6HUYvc7HAqJmztmN6P9EDQB9sYBeT3GaOVK46AJEP/3+/k1VkwO4QGjuyL798e/PG7YuVN8eZg9iyhxyVZGgNZlxo/3riXK64qFU2SDocJCjm+i5GL3OxzPbMVOsHPDw+sxRslyfo0VA6c4s1IRSXTql8ft7FlE5A47lRG9lqh4tDJ7XbFwys6dcss9+SRvQlFysfsdTpTKutrV0M4NDzXNutnYcbdupiTL+TVW7KoXZ4l2VyQWyf7lIUp2TlRG1Av85Mnud9tTKxbqOMpogYCYaNfPrTShEHDbbebLTZ3aOoaUKFnY/Q77qb6Rny9+Rr8Hs7mZzKhp1t1Yt4xkOL86gYFTnCXKXZFYpcKXhyhRhEL2xh05VRmJ19girysWTpC9ufbLX7pfFqJ4s/sdNqvUWxWdxry4WGQMDgbbPr9oUWQq8dpaYOlSZ8Z3R5+7vRw7ngznVyewq16c+emuiFsCgdT48hAlglgmSzTrGmLV0qWt63Xr/GBnQkk/4TgCSnV2vsPhk97GqrBQbFdruoVZs+TGbDsxvtvo3L1pkzdjxxP9/OoEpiOPs2Sfw8kPKYmJSHBiTiN1HYBz56x4nCei551KlKQ0XqccJnOJemwlGjv7WSvYsGrxYu+7wfp9Prpk+w5wHicDXgdOgL/mcHJSeTlw772J/eUhShZOzmkkM49T9N9G/HLx9yOzm2tW56JKtgqO12JpwaX4UI/5qirgpZfkk60AYlqWv/3NvbLJSJb56BKJq4HTwYMHoSgKOnXqBAD47rvv8Morr2DAgAH4mZfTMUvyQ+AEiJPv9dfLzQzvd8XFqdNES5QonG65iK6ADxsW2ZVl1y5g3DixrMxVhRd/fXqtfDIBZ/jntH498OyzzlTy/R6AxaN8fm8FSGZ2P1/1dY8/3tpV2IgfWnLZ6hx/lmIDxaJzzz1XeeqppxRFUZQffvhB6d69uxIMBpUOHTooTz75pNXVxV1dXZ0CQKmrq/O6KEpDg6IUFCiKOA179+jcWVFGjlSUQMB82eJiRVm0SFGqqxWlokL8bGryek8SUbSKCrnvf0WFc9tculRRgkFr55/qaue2n0y09mVxsXjeymuiH4GAeBitR2a9waC1dbgpHuVrajLet4GA+HxS+XrY1ORM3SB6PYsXx/75mn1+6vfLD5+fF+fuVGclNrAcOOXn5ytffPGFoiiK8uyzzyonnHCCEgqFlEWLFinHHnus9dLGmZ8CJ0URX3wvgqXCQkWZP1+clBoazE8oeXmKsmyZP04qRGSuutqbwEWt9Eya5P3F36mKnFeslH/pUrmbX1Yr+XrrtROAucHt8qmfQVkZbwQYcSp4lb35YvcGgPo6Px7LKq/O3anM1cCpY8eOynfffacoiqKMHTtWmTlzpqIoirJ582alY8eOVlcXd34LnBRFfFnz8+WDnuhl8/LkL5jqSSL8BMEvKVHyUe+wGp0bwm+gNDU5G2h4fV7xeyuJk2TuptvZ935qZdE6Nt0un50W1FRsBXAqeLUS/Nv9fO205DrN7Dxrdu5m66bzXA2cBg0apDz66KPK5s2blZycHGXVqlWKoijKJ598onTv3t16aePMj4GToogvwLJl4q5WWZmizJih/+XW+tLdeqt80BV9gmCzMFFy0rvDqnduiL4pE0ug4eXF36wClmzBk2yQavWc7nXwq9Kq7OblKcrVVztXPq3uYVYq8fHaF26zevOkqcn4xq/s99xu8G9nn3vZEi17QydRWseShauB0+LFi5X27dsraWlpyqhRo1qef/DBB5Wf//znVlcXd34NnLRY+XLLXuCWLbP/2kS/IBClIjt3zaMv0nbHNXpx8ZepgOXnJ9fdWtmbX1bP6X64qWa1FcJO+bS+I+np1r8rid4KYKeVtrzcmWPNbvDv9vHnJKstc35oHUsVrgZOiqIo27ZtU/79738roVCo5bl//vOfyldffWVndXGVSIGTFbHc3WWzMFFyU2/CzJ8vuudZrZhEVyKttETF++IvWwErL3dn+16wU+kMBsX4VqOA2OubarG0QsiWz4nATKvia6dVw+uWEKvd7ZqaRMufE8GN3eA/+vP167hGu91K/fp+ko3rgZNq8+bNyubNm2NZRdwlS+Ck9WWK5e6uU3eG+SUn8q9Y7uomynlBtgKWTK1OViqw6iMry7xrptc31WI9Xs3K51RgFgyKQDyWLHBejsmzW6m38vm41eIUDLaWy8/jGr2+CUHGXA2cDh8+rJSVlSk5OTlKWlqakpaWpuTk5Cj33nuv0tjYaKvA8ZQMgZPRySGWu7ux3hn280mLiGK7qxvvSrNdTlbm4s1KgBm97MyZznym0QGxl2MtYjleZcoXa2CWna0oF18cexY4rzMX2q3UO3mTQiaZjdZDbTn2eh+afXf90O3VSnlTjauB0w033KB069ZNefrpp5X//Oc/yn/+8x/l6aefVnr06KHccMMNtgocT4keOMmcHGL5Qth9rdcnLSIy51SLk1FlymtOdh+KJys3nrSWLSoSrUhOfKbRAbFXYy1iOV71yhd+jZNNMe7UQ+tmgx+6cNmt1DvdLdbO9Czz54ux22bfebOWx/DkXFanXpH57no9PUR07yTe5I7kauCUk5OjvPHGG22ef/3115WcnByrq4u7RA6c/JQaNhHKRUSR7N7VtVKZ8gOnBqzHi5UbT0bLOlnJj943XtyhttqVbs4c4/LFkijFrX1rp0LtdMXXbqVe5nxipUusncDJyphNre+73nQwWhmI9cos8931otur1nGilwFRLVd4l1O1LLG0hDs9zYVbXA2cCgsLlbVr17Z5fu3atUpBQYHV1cVdIgdOfu0j69dyEVFbVlKUJ+r32qkUyfEqq+yNJ6fG5Mg8Jk/2es8IspXp7GxFuece/dYCJ5JAOPUIv9lgtbXHjd4dt99uvn2974vZ+cTKOEi3j+3589uW3ew1RuW3etM4nt1enTjeg0FFmTYttpZwp6e5cIurgVN5ebkyfvx45dChQy3PHTp0SLnssstaJsP1s0QOnPzWR9bv5SIibbIXOKOUzH4KPrQkSvdhKzee3OhqqfcoLPTPZ2tnknitJBfx2ncyn6XKyufvRu+ORYvktr94sfHnE2tXzngc23PmRB4TRUXmrykoiJwk3E6ZzVoLner2Gmv2VNmHlZZw2dd7zUps0A4Wffrpp1i+fDmCwSBOPPFEAMB//vMfNDY24pxzzkFpaWnLspWVlVZXTwZ69nR2Oaf4tVxEpK20FCgpAVauBLZtE9/N4cPF/8Kf27ULGDdOPK8ora8PBMTPuXOB9PS4Fl1aaSmwZAlw663A1q2tzweDotxhlypPbdvm7HJO2bkTWLECOOec+G5XFQq1HovdugEVFcCzzwJvvw3s22f82t27gdGjgaVLxee8cmXkMeClYLD1uwaI34NBoKYm8jumCgRaX2P2PhQF2LJFLDdihHlZQiHgxhvlyl1QoP36lSuBhgZg3jzx3I4drecTK+cGK8d3YaE4Pq3atKn195UrxT43s2sXcPnl4vdgEHj00dZz59KlctsNf296595Yz6OVlW3PdW5RFHFcTp4s3gsgtq11/Mq83q/XED2WA6cuXbpg9OjREc8VFxc7ViDSZ+UEy3IRkZH0dO3KVfRziRB8hAuvcPfsCXzzDbBqlbOVFCf5+cbTuHEiWIn352xWCczPBw4dAg4cMF7PrbeKilm8g04jBw8CVVWt+zQ9XVTGx4wR18roGxSKAlx3HbBoEbB2rdw2ZN/vypUiMLCzTq3PSA0sZIK2aLLH95w5InBSgxkrHn0UyMsD+vWT35fhampEQJ6fL4JzWdHvTe/ca1dlpTh+ZAMXJ6hB+mOPiX1hNWCzGuT7ShxawHwlkbvqKYq3qWETsVxEFLtEGNyrKImZLcrKoHEvupzF+/zt9FikeHdxtNtNSbb7rOx7lmEl3Xt0dzOnu8Fa+R746fM0+6zd7s7st26oVh9+GcIRtwlwE1GiB06K4l1q2EQtFxElP7MK9+TJ/g36rFREZcekOPkIn2TUTW5UAisq3MkmGctDJsV4ebn18lqtqMsGIOHj3ayOs7Jy00X2BmxDg7tjeJz6jP00B5dfH35JLuR44DRkyBBlz549iqIoyuDBg5UhQ4boPvwuGQInRfHvHWC/louIkpeVCndBgQg+/EQv+UGHDooyY0bkedSripLsXDyxcHOeMaezSTrxKCvTvk7aCSDtVNTNsk+qj/DEEFYSIthpATa7AeuXlPJmj3jdNLY6SbR6/NtpyXTy4bfkQo4nhygpKUFmZiYA4KKLLnKnzyBZ4nQfWaf4tVxElLysDP5XE15Mmwb8/vfulkuG0fiEQ4eA8nLg8ceBZ54R42K8Gq8zYwYwcKC7452qqpxdX/jYWr1kIV66/37xUMcGqfvWTjILO+MOq6rMx+pMmyaOT5Xs8VdVJd5T9HFdUyPWt2SJdlmNkid4MZbHqkmTxDioeI2ltDr2UT1Owvfx+vXAzJni//HYt4mQXMhIQFHkd1MoFMLf//53nHDCCejSpYuLxXJPfX09cnNzUVdXh5ycHK+LQ0REMVqwALj0UuuvW7w4slIYb6EQ0KePfCV56VIxuH3kSFeLpau4GNi40Z3KTigE9Oghn6xAhppVL9ySJSKTXHhWtrQ0oLnZue1apVYk1WBC9nguKwMGDLCX9ETm2MvLE1nywte7YoXc8WeU+U5NGGXlWLL6XbHqnntaj4NnnhEBpZ0goro6vjeP1f2il5wLEJ/FnDlAUZH+caKV7KO4GLjkEnE82t3v+fniZ3iAXlzsv+RCVmIDS4ETAHTo0AFfffUV+vbtG1MhvcLAiYgouchW5qIVFoo7rl7d9bRa7mBQZAksKnI2wLDCyYpheAbE2lpgyhRn1puf39pCF27JEmDsWGe24bTwYGLlSrnjIvqziM4oaRRMyR571dWtqdDV1PBXX22cRbegQC5duJVjye53XFZ4WdSWLUA+eNILBq18JlaWDadX3uiA3Ize9u18T8vKxFQGWtNc+C2zKWAxNrDaD/Dkk09Wli1bZrn/oJb3339fueCCC5SePXsqAJRXXnnFcPnq6moFQJvHtm3bpLeZLGOciIhI9JFftkxR8vLs9bX3cnDy/PnWyztnjqL88pfejU1wKguWG2NVsrPbjglTLVpkPKGzU4+srNheX1YmjmfZDHNG+9NoPJHs2JjJk7Wz/anliC5XICBe4/SxJLtOqw+9sTZ6WQ6N3rdMpkS9zyTWjKDxSs5lJfthInE1q96bb76pDB48WPnb3/6mfP/990pdXV3Ew4o33nhDuffee5XKykrFSuC0bt06Zdu2bS2PUCgkvU0GTkREycGJyrdX6XCXLhWJKtyoDLr5uPrq2JP/OJ1yPLriplWBdXu/lJQoyttvOxcM6lXSwz+H+fPF57B4sfWMkrEk4tBLMKBW1MvL5dYje9Mi1s9vzBh706VoJbuSDVCsZMp0Kr17vJJzJeP0M1ZiA+muevfddx9uv/12ZGdntzwXUNsBRcsVAoEAQqGQfNtYmEAggFdeecUw+cSKFSswcuRI/PDDD7bHWLGrHhGRP8h0DVGfByKfU5M8yF3B9MV7TALg/SD38IlWoyddtSI6qYEMt8eqAJFjseKxPVV2NrBvnzPrUj8XmclW1fdpJvzzkhkbY7TeQEB0GZ03T4yDCv+e9u4t1mtWlk2bzLtsOfH5VVcDe/Zoj+GxM9bGrEudWZnDu/UB8sv6qXub3pgov41dkmUlNpDKqgcA5eXluOGGG1BdXR1zAWM1ePBgNDQ0YODAgZg5cybOOOMM3WUbGhrQ0NDQ8nd9fX08ikhERAa0LrzBIDB+fNvByFoDjNPTjSv8nTsDBw4Yl6G4uLWy5za1slVTI8YIeBU0Aa2ZtYDYssyZZUjTYidjnFVbtojtjBgRn+2pnAqaAHF8BAJAhw7AVVcBf/mL/rKy96u3bhUZ39SkGY8+Kj6/6OBZ/dtovYoi1peeLr6zqhUrzIMmAJgwQS4QiOXzU4MONbDRy9ZnlVn2YLMyK0rrMQrIL+unjMVG2Q+TnXTgpDZMnX322a4VxkzPnj3x9NNP45RTTkFDQwOee+45jBgxAv/85z9x0kknab5m1qxZKC8vj3NJiYhIj16Ly9atwB/+0HZ5rTvuZpXFAweAiy8GFi7U/n8gEL90uFpBYrzotQyo7zu88rN2rUiPLUut3E+eLNYjsy9lKtVOqKkRx8jy5fHZnhsURbwPo6DJjokTxeell6I9GBQBlhpcG4lOTy6brrxfP7nlYk2/H/4dj9d0KbJltvLevJqGwEiqTj+TZmXh8K55Xujfvz+uv/56nHzyyRg2bBief/55DBs2DHPmzNF9zd133426urqWx5YtW+JYYiIiChcKiYpaPFpcSkpEyvHCwsjni4uttZLEQg0SvZw76NFHRYar8eNFRSc8wFErP+PHA+3bW1939N1zI5WVIsiKh+XLRRcoK4Fgqti9G3jgAfF7aanoMlddDVRUiJ8bN4rvjozoeYRk5xXq2VOcC1asEC3MK1Zo3wxZv15ufdHS0oBFi7zpNmZlH1hZlvxBusUJAI455hjT4GnPnj0xFciqn/zkJ/jwww91/5+ZmdkyeS8REXkrnl2nevYUQcGvf+1Nl5JYgsRzzwVOPVXMpTN1qv0yTJ0qV3msrBST3NoVfkdcrRCvWCH+HjEC+OEHZ8akyXrhhfhsJ1H98Y/AvfeK74FWy8Hw4aLlyei7WlgIDBum/TqjdOXBoBijGD22J3rMXCzHZHOzSIvuBdl9oHYTtrIsec9S4FReXo7c3Fy3ymLLmjVr0JOhOBFRQohHl5PoyoZXXUrsBon5+cCbb7YOzp8713gQv5GXXwZmzWoNFLWCmuHDRYAXC/UyXFkpuoKFd6+8/37RAmCn/E4lsqBIu3cbj5tRxy5pdZ1V7dwJHHVUZLCTnq4/dgoQf48bpx1Eh4+ZKymJ/Zj0qnub0T5Q2x7CuxBaWZZ8QDZVXyAQUGpra22n+tOyb98+5dNPP1U+/fRTBYDyyCOPKJ9++qny3XffKYqiKHfddZdyxRVXtCw/Z84c5dVXX1XWr1+vfP7558qtt96qpKWlWZpXKtXSkccrPSURkYxY0iDLpkr2S0pc2blyoh/5+W3n6NFK/yv7UNM+L13aNoU0oCg5ObHtb3XeFjfSfqtz2bgx75PZ4+KL224zLS2+ZXDzYZSKX52vR+bz1/q+TZumP2+W0Xxa6vG0bFns78/LOdoUxdrcSvGah4m0WYkNpFuc3Bjf9Mknn2Bk2FTQt912GwDgqquuwrx587Bt2zZs3ry55f+NjY24/fbbUVNTg06dOuGEE07AsmXLItaRqGJJy6u37K5dInuTVlO4VjYU2fUmykzQROQ/w4eL7mdO9eqOTpmsZozzQ0pcu50holsD9Abxy6a/3rZNtASNHq39f7vJZsPviAPALbfYW48RRRE/w7N4VVWJbeplg7Mq+ngMT6usdV0dOzaWd+QfRsfnAw/ItZYqStsEIZWVwMMP638WZtn6tmxpbRG1wy/d26xknkvlLHUJRzYac6PFyQt+bHHSmzF62jTtmauj7xjqLat3N0ddj9316i3LOyNEqcVui7bsBJkyd7oXLfJvq7p6195OS5FWa0D0/pa9K79smaIUFcW+zzt10r4j3tSkKHPmxL5+o89Za4LR6GtTYaGinH669W0sW2btGNJruTO63ro14a/dh9pKqGXxYnvrVPedEy2DF13k7PFCZMSVCXCThd8mwPV6IkSnqHce45Wpioi8pTcPk8yEqKEQ0L27+cSeKq15nBJlskW753iZiXnNJjFV77y/8AIwapS17ZvJyQGee07cEXc71breJKBqa1BVFfDSS2LMjRPrlRE9Viw9Hfjzn7UnBAXEMQD451q/eHFrmaKfHz9efm6ocBUVoqUkHp2AAgHRUtixY/JMwkresRIbMHDyUDxnNI8Hv85wTUTO0gsGrNxAMVqHogDl5WKul0TvHlxZKSb7tNI1sbBQvE+Z96fuRyByX4Z/Fg0NwKWXym/fr7SCSbuBqRs3+/S63Kvl9GouLy1lZSJFfXQZ9bpzyqiuFu/d7WMt/LNj9zZyAgMnA34KnFasiM+dmXiTuVNKRInJ7IaPlRsoWpXJZLpjbLdSr9caYLQdo/1o5VqTmwvU1VkpbfxUVIjWEFUsNx+9OM5CITF26OGH5camxUP4uOdYbuSmpQE33yzWMWWKkyVsKxgUNyPCb6xonWuMAlmicFZiA0vpyMlZfpwJ2gnJ+r6IUoFZMpjaWuPKlaKIwd0zZ7a9ox0tGQdEq/uvpkZUIK0GTdOmWQuaAPP9OHw4UFQkymQkPd2/QRPQmsxA3cfLl1uv6GdmAv/3f+K97tghgsp4HXNVVeJ74afb1Vu3ilam8vLYWsOam0UABrRN2OKUK64AjjxSdIkMn99Jq4twLF2JiQzJDJoaMmSIsmfPHkVRFKW8vFw5cOCA3fFXnvNTcgi30/J69fA6BSgR2aM14F4rGYyVRyoljok1ZfaMGe6Wzetrg91HdMrzWJMPFBTE/xh1KmmCW4+sLO/LEMvxEZ4QQk3fb7Yckcrx5BAdO3bE+vXrEQwGkZ6ejm3btqFbt27uR3Uu8FNXPbOBvYmGY5yIEpdbiWpSJXFMrPsvGAQ2bXL33Kk1OS0gulk1N7u33ViEHz+Av49Ro2lF5s4Fpk51pLgJw62WJy1q/WPDBjEpr1HrWWEhMGeOaIVN9BZucobjY5yGDh2KrKwsnHnmmSgvL8fUqVORlZWluez06dPtlTpO/BQ4AfoDe92Sny8umk7PwJ4qlSOiZOR2oppkv6kS6/4LBGI7d1oZyxGdDa5LF39X6NWxSLGOwTET6zGq1TUsLw8491xg2TL5DJJWnXoq8PHH7qzbCXPmiEBl507gL38B1qxxf3tWxlix+x4BFmMDmSas//73v8rFF1+snHLKKUpaWpoycOBAZfDgwW0eQ4YMiampLB781FVPpTdjtOwcSnrLFhdrz3Ei2x3HahnY/E2UmOLVbThZu/HGsv9i7SamNw+g7DorKrzvahX+KChQlHfeaTunktfHqNGcZXpdw/honY9s0aL4bG/SJGvLs/seKYq12EAqOUT//v3x8ssvAwDS0tKwfPnyhO2q50dGA3tnzTIeqG22rJUZqq2sV29ZIko88UrokqyJY+y+r7POAt57z/65U697YE2NeF6mFUtNuOA1tdfCn/4kWmmieXmMGiUaKCkR/4v+DEjo2VO0cl53XXy2d9RR1pZXFHHsTZ4sPkvWY8gM05ETEaW4WKZGmDNHdEO6/37zZZN1qgK7+6+sDPjtb+1t06m08H4Za2vWZUp2H6sBo11z5ojJmdUbglVVxnOWzZwZmeHNT5wYu3bZZUB2NvD009ZfW1wsjr8HHnB/H0WPcbJzPCfr+YnMuT6P0zfffIO5c+fiq6++AgAMGDAAt956K46yGup7gIETEVHkuJhu3YCrr7ZW2QivmAPGle9UGOPUvbv1cSzLlomU7XbIBhIylcF4j7XVYrYvzAK88GOsqgq45Rbz9OvRopMZFBUBhw7pf66BANC1q7XJjfXWE/6enEiqcNNNwBNPxLaOWC1eDPz61+L8Eus+MhI9xtru8Rw9TxilDiuxQZrVlb/99tsYMGAAPvroI5xwwgk44YQT8M9//hPHH3883n33XduFJiKi+KisFJXQkSOBSy8FRo0CDh5s7bZiRl1m7lxRyUtPb53DJfr10csmq4YGa8tnZcV2d1u265rMcqWlotJZVGS/PLHascP4/1aOsdJS4NtvRVICK6KDlZoa42BYUZwJCBQFKCgQ3cWqq4EffxQ/KyrE/ErBoPV1ynyP3VZQIG7OuBk0AWL/hHdLtXs8+6XbKvmc1QFUgwcPVu688842z995551MDkFE5HNGc5wAbRO/WEkGo5foJtkHXl98sfVB7OXlsW1TNlmCTEIONfHB/PmKctNNzg3Uz86WX1Y2cYjsMWYlmUR6emzvMy8v9n1llKSgqcn6MTZnjnOfo91HRYXzyUf0kl6ZHdeFhfoJPMLnCaPU5Pg8TuE6dOiAzz//HP369Yt4/uuvv8YJJ5yAQ4cOORjWOY9d9YgoVcmMiykqAubNEy0AdpLBWEmNnQwWLwbGjbP2mvx8oLY2tv1ipeua0Xa0Eh84Nf+O2gXNaKyNnW6cMsfYggWiNdXM5ZcD8+fLbVdPebkzY3j09kVjI9Cpk9xnYmU+I7dVV4ufdsdPalm0CBg71vrr9LrvcSoVAlzuqldYWIg1Gon416xZw0x7REQ+tnKlcUVKUcT/09NFX/8RI1q74o0YEfmcHivLJrpQCLjxRuuve+YZ8/2izre0YIH4GV1pdqJ7pFqZjD4m9CrogYB4TJsmgj8zitI6DkhvfTLljGZ0jKn7be1auXX16SO/3WiBgEiAcO+9wNKlcvvEiKIAW7aI72m4J5+0FsjOnQtkZLQeH14oLASGDRNBbTDoTNfBQAC4/XZ7Qb1e973obn5EZiwHThMmTMDEiRPxu9/9DitXrsTKlSvx0EMP4frrr8eECRPcKCMRETnAyXExJCq4u3bJLx8Migq2WSUtegzayJHi78rKyOViqQyGQuZptKODGXW9v/+9aDFbtky02BhRFDFOSGusjlk5zYLHaOH7zSzLoxr02B1npjWuqrZWvM+8vMhlg0HRInXRRXLrjv7+ffON3OuystqO9bngArnXWpGba77Mzp2ixauqSj/At0ovsJRVWgps2tQ6fqy6WrTuMWgiS6z2A2xublYeeeQRpaioSAkEAkogEFCKioqUuXPnKs3NzTZ6FsYXxzgRUapyclwMWRu/cfXVcmMojMagGY2BiR7zYTRhq6LIHwtz5mivQ12/7ISjFRXmZYreD1Ym9rUzCe3SpaIMwaDx+Jf8fGtj9/Tep93vn+x4pdmz25ajoMDaPsnPNx8L1NAgyjh5shg7pLeu8GNW6/O0+1An1SVyipXYwHLgFK6+vl6pr6+PZRVxx8CJiFKVTCWRg6TlyVaEc3Lk9qn6+RhVRGU+H5mgQzbo06qk2qkEWwnGrQaPZvtNL0BQ96O6vehthm/PStCnx+73r6HBPIFFerpYLpyVBBnq8SGzL6LLZhY8qe8pOlmD3cCJN3bIaVZiA8td9cJlZ2cjOzvbiYYvIiJyGdOGO0sdv2Hmz3+W26cyY9DMuirpjVuqqRHPq939ZFMvRy+nt349apc4NcmIGaMuhOpzkydHdtsz229adu9u3Y8yXR6dGLtn9/uXkQHcdpvxum+7TSwXTrbL7ejRogtbaan+vigqEpP9NjREdptctUp0y9MTfsyq+/Cyy+xNqGv1WCJyQ0yBExERJRYOknaOWhE2GrsxbVprNi8t4eN4li+X265ehdhK0GE2aF+rkiozLip6HYC1YNxO8Gh3TF746+I1/sXu9+/3vxfHUvR+TE8Xz//+963PWU2QMWlS5Hqj90V5uXh+xoy2Y+7sjpssLRUZ8mSPC97YIb9o53UBiIgovkpLgZKS1Eob7ha1Ihyd0ruwEHjiCePUyVqpwGXotRZZCTpGjBBB35gxrWnDVXqVVKstO8GgWIeV4MNORdzuxKXRr1NbRNxm9/v3+9+LpBdPPikSRhx1lMjqGN7SZPWY0mvBUfdFZaVoaYoOltUWzJkz5baj9RmNHSuONZn04kbHUqpNgUDesjyPU6LjPE5EROQ0q5U3tcublSuw2ZxHsnMXVVSILmdqOaIr2sXF2pVU2fVPmiS6fw0bJrpyWanQrlghN+9PdXVrkGM2p1U0O3NHJQIrx5TM/EWy874Bsc0npnUMBoPAhAlAv37Gx47eax99lK3nJM9KbGCpxenw4cP4+c9/jqeffrrNBLhERER6kv2usJXWCqtd3gC5rkp2xi1Zaf2QXf/o0cCePW0nYJWp0KpdCM0q4uGtJGqXSa3WM63XA8nX5cvqMSXTGig771t5uWh5km25jGa3BU4vUFRbw9j1mNxgaYxT+/bt8dlnn7lVFiIiSkKy8xIlO3XsycyZ1rvnyYxBszNuCZBPfCC7/l275BJUaLGbQEFv7JDeXFTJVqGW7UZZViY/fku222S/frGPm5Q9BtXv0EsvATfcYC2JCJETLHfVmzJlCjIzM/HQQw+5VSZXsaseEaUqL1p99O4Ky3QVSiZ2xjOVlQEDBlj7rNT9DWjf/Y91f5utf+FCkeHNqHuXTDc5K10Iw0Uf43a6CyYiO900zVjtNun2+cXOdyi8SyeRHiuxgeXA6eabb8Zf//pX9OvXDyeffDI6d+4c8f9HHnnEeonjiIETEaUiL8YCyIyR8PNYE7UiWFMD1NaKFNZpaaIiZiUltZ3xTID9Sp/doMOJ9eflyVW258wBunc3rmAne/dOJ9kZG2bGbOxYPL+/dr9DVgJFSl2uBk4jDb6ZgUAA7733npXVxR0DJyJKNV61+rhRmZOhV+EOf75bN7Hsjh3alXKzu9v5+cBTT4nseUYVe7PgUYsTFVK3go7wYHLnTvH+i4pa1y/b8hEuGAQeecR8X5I+t4Ict1swZdj5DqnY4kQyLMUGLk7E60tWZgcmIkp0TU2KEgwqiqj2tH0EAopSXCyWc1pFhf52wx8VFc5tc+nStu83GFSUadOM90MwKF6rriMQkCu73jpU1dXW1hEIiMeiReK1FRXipxufj1V6+zb8PVt9v2b7sqnJf/vBr9TjNvrYVZ+LPjatrDf6cy8utr8+q+wcU26e1yj5WIkNbM/jtGHDBnzzzTc466yz0LFjRyiKgoDRLIBERBR3Vuf2cZKdLG+x0GtZ27oV+MMfjF+7davIBrdokRijY2eiDq1sXlYnZw0GgUsuaTtOyOsUy2YZzBYuFC1GNTXi565d9vZh+HpHjxYte7t3tz7v9X7wM705xezMpxW9Xi/nfbP6HUrWzInkD5a76u3evRvjxo1DdXU1AoEA1q9fjyOPPBK/+c1v0LVrV8yePdutsjqCXfWIKJW4MWhcVjzHSMTSnSdcTg5QX2//9dHvSba7YlkZcM45IuAYN85fyTRk9q3aFdJtqZZUxA7ZbpqJMoZM9jukcnI8H6UGK7GBpXTkgMiq1759e2zevBmdOnVqef7iiy/GW2+9Zb20RETkmni3+oSzm1raDtl0zGZiCZqAyBY8QD6F98yZYtkpU/yXYllm38arTOp+uPVWYPlycWNgxQpv0k6rqbG9LIMWmdTeiTRFgNl3CBCtnPPny6daJ7LLcuD0zjvv4He/+x2CwWDE8/369cN3333nWMGIiCh2duf2cYre/DpOz6djtTuP29TyWAkerXSrjKdY9q1aoZ0zx7nyqBOvjhrlXaU/kQKPaGq3SzvzbHnB7DsUCABPPw1cdpm1bJdEdlgOnA4cOBDR0qTas2cPMjMzHSkUERE5I56tPnpKS4FNm8Td4IoKd+4Ku9FiFovw8sgGj7IBSryDxFj27c6d4n3ffLN5q0Es4lnpT7TAI1woJFrr/NaqaSZeN2CIzFgOnIYPH46//vWvLX8HAgE0Nzfj97//vWGqciIi8oYfKh0y3YdiIdOdJ17S0sRYpXAywaOX3SqNxLpvt20zDuCdEK9Kf6IGHqp4tGq61YUxHjdgiMxYTg7xxRdf4JxzzsFJJ52E9957DxdeeCG+/PJL7NmzB3//+99x1FFHuVVWRzA5BBGlqkQZDG6X3pwzXggErAelTifTcPLzjmXfhs+lU1kJ3HKLeI9ucXPuHq/mJnOK28livJhomyhWriaHGDhwIL7++muceeaZKCkpwYEDB1BaWopPP/3U90ETEVEqc7vVx2t6LWuFhd6Ux2rLg5PdKp0eg6O3b43Kojd+Lvq95eeLR/RzWsvKcLMro1+7U8pys1UzkbswEsmy3OKU6NjiRESU3KJbWoYNExX+6O5z8WCn5UHrrr2VFMt6cy45kco7et+q6dOByO1pbcuoXIoClJcD/fq1to5VVbXdDzJiae0xa6VL9BYnmVbNoiJg3jxgxw75lkqzlPVOTj1A5DQrsYGtwOmHH37An//8Z3z11VcAgAEDBuCaa65BXl6evRLHEQMnIqLUUlkJTJgA7NkT/22XlYlU41Yri3oVeLOKvRcVWJlAz265wt9vt27A1Ve7Ny+YTDezeM5N5ha9bpdqAGtn0uFEDygptbkaOH3wwQf41a9+hdzcXJxyyikAgH/961/Yu3cv/va3v+Gss86yX/I4YOBERJQ69Fo54smpMR56FftHHhHdEbdtA2prxVxQZpyuwMarpcao0g/It6bptZzJtNI5VQYvaR1L0QGTSuZ9eTnRNlGsXA2cBg0ahKFDh+Kpp55C+v8/K4ZCIdx4441YtWoVPv/8c/sljwMGTkREqcGslSNenKhQOx0ATpoEjB4dvwQhTlasnejKGP16tTVPi1YrUqxl8AOt1jy7LZWygXF5OTB9eiylJnKeq4FTx44dsWbNGvTv3z/i+XXr1mHw4ME4ePCg9RLHEQMnIqLUIFuZk5GbC9TV2X99LF243AwAjVrDnMzK53RXLrtliyUAjS5bMmWpjPXzCYWA3r3NsyUGgyKleKLuJ0pOVmKDdlZXftJJJ+Grr75qEzh99dVXOPHEE62ujoiIyBVOZTbLyQEeewy48kr76wifH8dqFzmzuXdioWY8W7iwtbuf2nVtyhTn0kqrc0GZjQ2KzsCnR80QKUMNcGpqxHuy22q3dKn4qQZIVspghRcBWazZAtPTgYkTgRkzjF+/dau97wCRX0gFTp999lnL77fccgtuvfVWbNiwAaeffjoA4B//+AeeeOIJPPTQQ+6UkoiIyCKnJoq9/XbRDcsJdoI5N1Nbq0HE+PHmqdPVIMtOl0M11fqYMa1JCFRWU61bodWlzq7HHxcPN1vpvJoHyYk05f36ya0jOgAlSiRSXfXS0tIQCARgtmggEEDIr9Nl/3/sqkdElBrMMqABQFoa0Nysv478fJFwATBflww7SRmc7HIYKzcy17k1NsitxCB6Y9ZiDXrcTCNvxolsgVaPU06MS37h+Bin7777TnrjvXv3ll7WCwyciIhSh1kGtKlTgYcf1q9cL10ql01NTeO8Z4/1iqdsinE7QducOcA334iWEie5OVeSE9xODBL9eZoFPdFdIdUuiU4lZ3BCrNkCrR6niZSFkJKb6/M4JTI/BU7JNLCUiMivzFo5rLSCGC0LWK94yrZS6FVq9YRXtFeudL7Fyo200l4ko4hmlF1PS3W1KKdZkBa93vx88VMr/bfZ9txMI681ts3O5MuA9eOU9R/yiuuB0/fff48PP/wQO3bsQHNUH4dbbrnF6uriyi+Bk1f9mImIUpFMq45spd1oWatBmJWuWZWVYgC+WWU7+vWxtFjpcboC7/Q1UTb9uSq6ZWjpUrlWuooKcQzEqyulkwGrzLxgTo3TMsOJcclLrgZO8+bNw/XXX4+MjAzk5+cjoJ5tIMY4ffvtt/ZKHSd+CJy87MdMRETukgnCzLqS6c0dJDNmRytQs9oSoMeNFgI3rolWW5yi95mV9NzbtlkL0mLhVIDhdj1E/Q5YCUA5MS55xdXAqbi4GDfccAPuvvtupKWlxVRQL3gdONm5WBIRUXKxOm+OzJidvDxg0SKxvNb1w+rEr9HcuLnn1jVRppWtsFCMASsqsj6uzO2ukEbbi7VuEM96iNPzdxG5wUpsYDny+fHHH3HJJZckZNDkB2bzcYTP9UFERMnJ6rw5MnM57dnTOr+QltJSMflodbW4w19dDbz8sqgoh3Ue0RUMOt8jwq1ropr+HGj73tT3+/TTwGWXaQeaZq8HWtOnq3NUyexDO5xO1/7AA/Grhwwf3jqeS0sgIFr7ZOfvIvKa5ejn2muvxeLFi90oS0qIdZI5IiJKfFbnzXHq2qFO2jp+vPipzstUVBS5XHGxaL0KD7I2bnS+G7mb18TSUu33JhsAyr7eKMhygpMBa2Wl+SS1quh9HgqJFqQFC8RPmZbKqirjMXmKAsyeLYI0K+sl8orlrnqhUAgXXHABDh48iEGDBqF9+/YR/3/kkUccLaDTvO6qx2ZrIiKyOm+O29cOr7K8Ovm+9N6D1edl1xst1q6QgPjci4qAefOAHTuc+yzUoGfcONEyKSN8n9tJ3iHTvTQrC+jShYmyyFuujnG6//77MX36dPTv3x/du3dvkxzivffes1fqOPE6cHJikjkiIvKHWAIOK/Pm+Ona4WSQ5dT7slqxdyuzrVZ673HjxP/MaltuJYiyk+WuuFh+jiq98tpNCc9EWRRvlmIDxaIuXbooL7zwgtWX+UZdXZ0CQKmrq/OsDEuXKkogIB7iVCQe6nNLl3pWNCIi0tDUpCjV1YpSUSF+NjWJc3UwGHkeDwatncO11lFcrL0OP1w7nHjPWuuM5X2prw9/rdHrrS4fK619lp8vHjKfe6zb1nqvZg+1HE1Nbcsevc+Ki8Vy0SoqrG9XZr1ETrMSG1gOnLp37658/fXXtgrmB34InBTF2sWSiIi8o1fx1avwWa18awVlVsoSr2uHmwGH3fdltWIfSyAQC63P2MrnbnebRu9V71Fe3rqO6mq511RXt92+7GutrpfIaVZiA8td9WbNmoVt27bhj3/8o90WMU953VUvnFd9yomISI7s3Enh3O4258W1Q2a8ilF6b9ltWH1fVsdIpdI4Yztd5YJBkXlR3e+yEwlrzcPkxMTLnN+J4sFKbNDO6so/+ugjvPfee3jttddw/PHHt0kOUVlZaXWVKUvNbkRERP4TComxIVYrfYrSms7ZjXO8F9cOmXToO3cCl18uflfHC5WUyAdDdt6X1ax8qZTZ1sp7UMcVPfpo5OdjNftjODXb4JgxYv12gifZ7RPFi+XAqUuXLijlaD0iIkpyMsGCEa2Ka6L2NLAaSNTUAKNHizl8wtNRO50xzWrFPpZAINFYeQ/BoJgnKvpzUeeoMkveoTcPk5rSXSsRx8GDIsOfnfUSecVyV71E56euekRE5F+y3ZT0RHf3ciuTWzzYzZAWzemMaVaz8vkpO6HbZLrK5eWJ+bq0JgFWWcn+aFSW6BsGVVWxr5fICVZiA8sT4BIREaUCu60OgYBI5xx+t1ytfEa3YNXUiOf93stdbXmIdYJXtYI8ebIzE50aTT6r/j13bmtQYHX5RGb2XgMB4NlngXPOMX6/sU4krJYlfOLl9HRn1ksUb5ZbnPr27Rsxd1O0b7/9NuZCuYktTkREJMPO4HajOZj0uv0lSiuHXsuDXU4mYNBqzSsu1u5+Zmf5RObUe9VqNQJi73qaqN1XKXm4OgHuo+rti//v8OHD+PTTT/HWW29h2rRpuOuuu6yXOI4YOBERkSyjbkqK0nYMj1aFNJkyudmZTFWP0xnTrFbAU6nC7sZ7TeSup0ThXM2qd+utt2o+/8QTT+CTTz6xujoiIiLfMhrcPneuXNa4ZMrkVlra+p5raoApU4Bdu/yRMc1qVr5Uymzr9HvVS9Ovdj1lVztKVo4lh/j2228xePBg1NfXO7E617DFiYiIrIrljn0ytThFs9N9L1G6JpK2ZOl6SqTyJDnEkiVLkJeX59TqiIiIfENrcLsss8QKWskkEoXeAP/8fPEz2RMwpCKzNP3h85gRJRvLXfWGDBkSkRxCURRs374dO3fuxJNPPulo4YiIiBJRdAvVnDnAuHFtJwJNhkAivPtedLppvS6O7MaVuJKp6ymRVZYDp4suuiji77S0NBQWFmLEiBE49thjnSoXERFRQtIbND91qpgbKhkDCa0xNHoBVaIGiCSk0iTCRNE4AS4REZFD9AbNqy1LCxcChYUMJChxpdIkwpQaXM2qR0RERG2FQqKlSasyqSiiQnn77axQUmJTJ9YdMyY5u54SGZFODpGWlob09HTDR7t2jMOIiCg1cdA8pQq9pCDBIFORU3KTjnReeeUV3f+tXr0af/zjH9Hc3OxIoYiIiBINB81TKuEYNkpF0oFTSUlJm+fWrVuHu+66C3/7299w2WWX4b777nO0cERERG6JZW4mLRw0T6kmlSYRJgJszuP0/fffY8KECRg0aBCampqwZs0a/OUvf0Hv3r2dLh8REZHjKivFAPeRI4FLLxU/+/QRz4dCYtLaBQvEz1BIbp3JPF8TERFZTA5RV1eHBx98EI899hgGDx6M5cuXYzivAERElED0Mt/V1ACjR4vJW3fvbn0+GBSD4c3GbXDQPBFRcpNucfr973+PI488Eq+99hoWLFiAVatWxRw0ffDBB/jVr36FXr16IRAI4NVXXzV9zYoVK3DSSSchMzMTRx99NObNmxdTGYiIKHWYZb4DIoMmQARUY8aIgMsMB80TESUv6Xmc0tLS0LFjR4waNQrpBrfLKmWuLP/fm2++ib///e84+eSTUVpaildeeaXNBLvhNm7ciIEDB+KGG27Addddh+XLl2Py5Ml4/fXXcd5550ltk/M4ERGlrhUrRLc8q6zOTeP0+CkiInKHK/M4XXnllQjoddy26fzzz8f5558vvfzTTz+Nvn37Yvbs2QCA4447Dh9++CHmzJkjHTgREVHqspvRLjyVuMxgeA6aJyJKPtKBkx+6xK1evRqjRo2KeO68887D5MmTdV/T0NCAhoaGlr/r6+vdKh4REflcrBntmEqciCh12cqq55Xt27eje/fuEc91794d9fX1OHjwoOZrZs2ahdzc3JZHcXFxPIpKREQ+ZJb5zgxTiRMRpa6ECpzsuPvuu1FXV9fy2LJli9dFIiIij6iZ7wBrwRNTiRMRUUIFTj169EBtbW3Ec7W1tcjJyUHHjh01X5OZmYmcnJyIBxERpS69zHf5+eJndEDFVOJERAQkWOA0dOhQLF++POK5d999F0OHDvWoRERElIhKS4FNm4DqaqCiQvysrQWWLmUqcSIi0mZpAlyn7d+/Hxs2bGj5e+PGjVizZg3y8vJwxBFH4O6770ZNTQ3++te/AgBuuOEGPP7447jjjjvwm9/8Bu+99x4WLVqE119/3au3QERECUor811pKVBSwlTiRETUlqeB0yeffIKRYRNq3HbbbQCAq666CvPmzcO2bduwefPmlv/37dsXr7/+OqZMmYJHH30UwWAQzz33HFORExGRY5hKnIiItEhPgJssOAEuEREREREBLk2AS0RElMhCIXbBIyIi+xg4ERFR0qusBG69Fdi6tfW5YFCkJmfSByIikpFQWfWIiIisqqwExoyJDJoAoKZGPF9Z6U25iIgosTBwIiKipBUKiZYmrdG86nOTJ4vliIiIjDBwIiKipLVyZduWpnCKAmzZIpYjIiIywsCJiIiS1rZtzi5HRESpi4ETERElrZ49nV2OiIhSF7PqERFR0ho+XGTPq6nRHucUCIj/Dx9ufxtMc05ElBrY4kREREkrPV2kHAdEkBRO/Xvu3LaBTigErFgBLFggfuolj6isBPr0AUaOBC69VPzs04eZ+oiIkhEDJyIiSmqlpcCSJUBRUeTzwaB4PnoeJ9lgiGnOiYhSS0BRtDovJK/6+nrk5uairq4OOTk5XheHiIjiRKtLHRD53K5dwLhxbbv1qa1TaqAVColgSi9jn9oFcONGdtsjIvIzK7EBAyciIkpJlZVijqfw4Cc9Xb9bXngwtHKlaIkyU10NjBjhSHGJiMgFVmIDJocgIqKUo3azi751aDQRbvicT0xzTkSUejjGiYiIUkooJFqa7Pa3ULv1yWCacyKi5MHAiYiIUsrKlfpjk2So46OCwbaZ+lSBAFBcHFuacyIi8hcGTkRElFLsdp8LD4bspjknIqLExcCJiIhSip3uc1rBkNU050TJTnb+M6JExax6RESUUtRU4jU1+uOcorPrFReLoEkrGNJKc86WJko1Wlkqg0HRMsubCORnTEdugIETERGpWfWAyOBJbVlauBAoLGQwRCRDL0tl9PxnRH7EwMkAAyciIgK075AbtSwRUVucDJoSHedxIiIiMlFaCpSUsJsdUSzMslSGz3/GyaAp0TFwIiKilJWezsocUSw4GTSlEgZOREREEpgEgqgtTgZNqYTpyImIiExUVopxHCNHApdeKn726SOeJ0plnAyaUgkDJyIiIgNqxrDocRw1NeJ5Bk+UyjgZNKUSBk5EREQ6QiGReU8r/6z63OTJnOiTUhsng6ZUwTFOREREOpgxjEgOs1RSKmDgREREpIMZw4jkMUslJTt21SMiItLBjGFERKRi4ERERKSDGcOIiEjFwImIiEgHM4YREZGKgRMREZEBZgwjIiKAySGIiIhMMWMYERExcCIiIpLAjGFERKmNXfWIiIiIiIhMMHAiIiIiIiIywcCJiIiIiIjIBAMnIiIiIiIiEwyciIiIiIiITDBwIiIiIiIiMsHAiYiIiIiIyAQDJyIiIiIiIhMMnIiIiIiIiEwwcCIiIiIiIjLBwImIiIiIiMgEAyciIiIiIiITDJyIiIiIiIhMMHAiIiIiIiIywcCJiIiIiIjIBAMnIiIiIiIiEwyciIiIiIiITDBwIiIiIiIiMsHAiYiIiIiIyAQDJyIiIiIiIhMMnIiIiIiIiEwwcCIiIiIiIjLBwImIiIiIiMgEAyciIiIiIiITDJyIiIiIiIhMMHAiIiIiIiIywcCJiIiIiIjIBAMnIiIiIiIiEwyciIiIiIiITDBwIiIiIiIiMsHAiYiIiIiIyAQDJyIiIiIiIhMMnIiIiIiIiEwwcCIiIiIiIjLBwImIiIiIiMgEAyciIiIiIiITDJyIiIiIiIhMMHAiIiIiIiIywcCJiIiIiIjIBAMnIiIiIiIiEwyciIiIiIiITPgicHriiSfQp08fdOjQAaeddho++ugj3WXnzZuHQCAQ8ejQoUMcS0tERERERKnG88Bp4cKFuO222zBjxgz8+9//xoknnojzzjsPO3bs0H1NTk4Otm3b1vL47rvv4lhiIiIiIiJKNZ4HTo888ggmTJiAa665BgMGDMDTTz+NTp064fnnn9d9TSAQQI8ePVoe3bt3j2OJiYiIiIgo1XgaODU2NuJf//oXRo0a1fJcWloaRo0ahdWrV+u+bv/+/ejduzeKi4tRUlKCL7/8UnfZhoYG1NfXRzyIiIiIiIis8DRw2rVrF0KhUJsWo+7du2P79u2ar+nfvz+ef/55VFVVYf78+WhubsawYcOwdetWzeVnzZqF3NzclkdxcbHj74OIiIiIiJKb5131rBo6dCiuvPJKDB48GGeffTYqKytRWFiIP/3pT5rL33333airq2t5bNmyJc4lJiIiIiKiRNfOy40XFBQgPT0dtbW1Ec/X1taiR48eUuto3749hgwZgg0bNmj+PzMzE5mZmTGXlYiIiIiIUpenLU4ZGRk4+eSTsXz58pbnmpubsXz5cgwdOlRqHaFQCJ9//jl69uzpVjGJiIiIiCjFedriBAC33XYbrrrqKpxyyin4yU9+grlz5+LAgQO45pprAABXXnklioqKMGvWLADAfffdh9NPPx1HH3009u7diz/84Q/47rvvcN1113n5NoiIiIiIKIl5HjhdfPHF2LlzJ6ZPn47t27dj8ODBeOutt1oSRmzevBlpaa0NYz/88AMmTJiA7du3o2vXrjj55JOxatUqDBgwwKu3QERERERESS6gKIridSHiqb6+Hrm5uairq0NOTo7XxSEiIiIiIo9YiQ0SLqseERERERFRvDFwIiIiIiIiMsHAiYiIiIiIyAQDJyIiIiIiIhMMnIiIiIiIiEwwcCIiIiIiIjLBwImIiIiIiMgEAyciIiIiIiITDJyIiIiIiIhMMHAiIiIiIiIywcCJiIiIiIjIBAMnIiIiIiIiEwyciIiIiIiITDBwIiIiIiIiMsHAiYiIiIiIyAQDJyIiIiIiIhMMnIiIiIiIiEwwcCIiIiIiIjLBwImIiIiIiMgEAyciIiIiIiIT7bwuABG5LxQCVq4Etm0DevYEhg8H0tO9LhURERFR4mDgRJRkooOkXbuAKVOArVtblwkGgUcfBUpLvSunHVYCQAaLRERE5CQGTkRJpLISuPXWyCBJS00NMGYMsGSJefAU7wAkFAJWrBAPQGwPAJ59Fnj7bWDfvtZl9QJArf2QqMEiERER+UNAURTF60LEU319PXJzc1FXV4ecnByvi0Nkm1bL0rhxgJVvdNeuwL33Aj16AEVFbYOieAcglZXAhAnAnj3WXldeDvTrZ7wfAgHxXPiybIUiIiJKbVZiAwZORAlApvudGhjEIhgEHnkEKCwEqqqAuXPbLhMIiJ9arVVqOWtqgJ07xXrUgAwwbrmqrARGj46t/IBYZygkt2xenggM772XARQREVEqYuBkgIETJZJQCPjtb0UwE95FzWuBgAiyNmwAVq0SwdD69aI7nVY3wbw8oKkJqK9vfU5tuSopEd3yfvlLoKEhbm+hTfluvTWxW6LMulRyzBcREVFbDJwMMHAiN2lVTgF7FdbKSuCqq4D9+90tcywKC0XLUiyysvz3Hv08Hir6GBs2DHjoIVHe8C6O4e+BY76IiIi0MXAywMApeXl5Rz0UAh54oG3lNT9fdJ8Lf66oCPjjH0VLi155neq2RrEpL4/sxqd3jMkEzMOGtbbOyWYEDO/y2KMH8P77ovtkeOujXhdNtUvl1KnAww9rj/kC5BKEEBERJSsGTgYYOCW26IxrI0aIxyuvADfeGNn6ET5ex4kWID2VlcDEicDu3dZeF93SopY3L08EVQcO2C8TOSc7G7jtNmDgwLbjyoqKgDPOAN58MzKYycoSx+rBg63PpaUBzc2tf+flATffLI6/HTtaj8WqKrnMiLKMxnypXS43bmS3PSIiSk0MnAwwcPIfNRh67z1g82bgiCOAn/5UVCJXrmwNktLTgccfbxugtG8PHD4st62sLFGBDR9rU1AAPPkkMHas9bKzZYiclJ3tzVi26mpxA4KIiCjVWIkNOI8TxV14t6b160W3tehg6MEH5bPEyQZNgPZYGjV99e23AxdcIN+VasUKkTqbyCleJQDZts2b7RIRESUSBk4UV7ITtAKxp9a2avZs8VCFZ30L79q3Ywdw000i4CJKBj17el0CIiIi/2PgRHFTWQmMGRP/gMiurVtFNzwrXQGJEk1xcevYPyIiItLHwIlcFZ4d7MYbEydoCsegiZLZJZcwMQQREZGMNK8LQMmrshLo3RsYORK4/PLIhAxE5A8vv6yfdc9r6ljCBQvET7+Wk4iIUgNbnMgVzDZHlBi2bBGtwvHOqqc1kW90Fs0//zlyPKSaGv5//5etZEREFH8MnMhxjY2ihYmIEkO8s+pZSRITbt8+MSnx7NnAX/7CiXuJiCi+GDiRI9S7x1VVwBNPcFwQUSLp2bNtC5Cajl/recD+JNJLltibMy3c/v2iRXvp0tbgSa/8RETJiOc8bzBwopjZvXtMRN4rLhYp9nv0iEyxn58PHH008PnnwI8/tj7ftSvQ0BD5XH6+6OrXvz+QlyfWVVTU9kK+cCEwfrxzZb/1VjFdQFVV23NQXp547t57WZkgouSiVe9Sp1DRa4lnoOWMgKIkYp4z+6zMDuxX4Qd/t26ia1xFhbgLe+aZwM03AxkZbV/X2Ag8/rh4bXY2cMUVwE9/qn1XOXq8wYgR4ksW/dwPP4jJY1PrKCJKHkOHAqtXu7PuXr2AUaNEYpivvwbWrnV+G2PGiFYsPfn5wDPPsFsfESWu8AzFy5cDL7ygv+zLL4vz4ooVxmNG8/OBG24AvvvOvP6Y7KzEBgycPKZmjQoPRtRB2lp3BpYsEWm9d+40Xu+RR4pHt25Anz7Ahg3itc3Nkcu1aycy323dKu4iqwKBtsGQ7HNERH4SCIjzH4MnIko0dnr1tGsHNDVZ31YgIG6G//WvwKpV8q1Tid6axcDJgJ8CpyVLgGuvbZumOysLyMwEdu9ufS4YBE4+WXRJISIia4qLgY0bE+tiTkSpJ/yG+n//a9yi7pbom+IFBcCTT4qbT9EBklZXab3u21q9mUaM8P68zMDJgF8CpzvuAP7wB882T0QuyMoSXR7In6qr4592nYhSm5XWmMpKYOLEyBvnftKhA3DoUOvf+fnWyqrVS8kP3amtxAZMDuGBxYsZNBElgjPOEP2/ZbtIqEFThw6im4SdrhLknninXSdyUqJ3h0oF0cMvtMYWdewInH8+cN11Ytznt9+KgCIQEOPQ/Sw8aAKsB3haTTW7d7fNkupnbHGKs1CobfYqIvKvjAwxNpBBUOJL5BYnVppTm50samSNle9YdJIuAPjb30TLycGD8StzMsnPB2prvTmvscXJx1auZNBElEgaG70uATkhLS0xz72hEPDb3wKPPCImAFax0uydeAexlZUiS1r0be6amtaskjwOrIluGQoEgKeeijxHFBQAl18upjwIn7+uqgp46SXzJF1kze7d4vM45xyvS2KMLU5xtmABcOmlcd8sEREhcbqDAKJCfOWVxnewE+n92BVeyW1u1p4rLB7BjBdBbCgEdO+u3yUqEBDbZ+ITbVqZi3fvBiZMaJuYy0hGhlhXKORCIanFmDFiOEu8MTmEAa8DpxUrgJEj475ZIiKCqHTv2OH/SqZsAiGz7i1OBRRedRU0GyxfVCTGIr75plwwo1WR1pqjUH3uvfeAzZvFhM9vvNF2jEe40lIxXYiTWcLuuw+YMcN8Oa+7oepNrRLLfrB7zKmvq6oS44vCjwvyt44dxecV7/MzAycDXgdOoZCYV8lKPn4iInLOxReLSSL9RK14vvce8MEHwIcfyr/2ssuAa65prTgvXw68+KKYdHjdOqCurnXZvDwxVuauu0Tlctky4JNPgM6dRcVUawJMr8bXVFaKQeN2Rc/fpTcFiNNycsRYl4KC1sDriCPEhPNWgonGRrEOmYr/hReKrJ6BgJib8ac/1Q8Io+fnAcxb9LSEByjPP992v9rNltbYKCZmXbw4MktpdNe58HKp35+nnwbefpvBUiJbtiz+3fUYOBnwOnAC9PsrExFRfCxeLM7D8RB9N16trFZXi6Clrg748kvRqhGLDh3Etg4fjm09p50GHHWUqIQfPCiuWXr0ugrG2kLV2Aj06hV7Wub27YGxY8X6vJgPJ1p2NnDuuUCnTm2DqcZGMVfON9+Iiv+iRc4nGkhLE8FReHkURX8ahYIC4JJLxDKKIo6LQYOA118HXnhBLgidPFk72NFyxx3A7NmRZdQr1+WXAxdcII6z2bM5FUSyKCsTXWLjiYGTAT8EToC4aI8b59nmiYhSmtNdQtTgKLwF54wzgL17gYcfTt4kI/n5wPffR7ZibNsG/M//RLZ0ybZQHTwI/PrXwDvvpM7Nxc6dgS5dRLKHZKZOojp2rPg7Orh+/XXxXaHUxsDJZ/wSOF1yCbBwoWebJyJKeTNmADNnxr6eeHUB8ys1OYOMGTNEy8OOHSLo+vhj4NlnRRDb1JS6+zCVnH66CKRXrEjMTJfkLnbV8xk/BE5sbSIi8l5GBnD77aLir3Yj2r5dpBkuLBTjPEIh4P33gU2bRNe14mIxBmTPHjF25dNPga++8vqdEBElPq/mcuI8Tj4WConZoomIyFuNjcCsWV6XgoiIAJHcw+8ZT9O8LkCqWbGCXRGIiIiIiMJ17ep1CcwxcIozNasSEREREREJTz/tdQnMMXAiIiIiIiJPvf66fKIZrzBwijN1/g4iIiIiIhIOHvR/zywGTnHm90FvREREREReYOBEEXbs8LoERERERERkFQOnOOvZ0+sSEBERERH5z4gRXpfAGAOnOBs+HCgq8roURERERET+kZ/PwImipKcDf/yj16UgIiKiZMSx1JSonnnG/8cvAycPlJYCixYBgYDXJfG/tDRg6lSgVy+vSwLk5UX+nZ/v3rbcXDcReSMnJ/LvVPueZ2Z6XYLEFAiIx7Rp5vWGQABYsACorgYqKsTPxYuBYDD2ciTK8ZqdDVx4odelICuCQWDpUlE/9j0lxdTV1SkAlLq6Oq+LoixerChAajxGj1aUe+5RlIcfVpT58xWlvFxRgkHz1y1aJPZVU5N4jZ1tZ2UpSn5+5HPBoKJMm6YoRUWRz+fnay+7dKkoQ3W1olRUiJ9NTeL56HUUFYmyTp5svVzFxdrbWry47f5KT/fms1T3XSAgHuH/U/+Ofl+J/MjLMz9GiovFPon+jPSWXbSo9fM1+i6kpyvK7beLZS+4wF75jz9eUbKz5ZZt315Rhg9XlDvuUJSJExXlwgsV5YQTvP8M9B6xHGf5+YpSWqooZ51lvH+6dlWUs8+W34cdO7Y9ZszOIdGff1ZW2++W1uOMM5zdn4WF4ryld87RemRlGf+/vDzy/U6bpihpaZHLRP8t87By/pPZl4WF4rsW/Z7V77aT+1nvoZ5btcqwdKm4FmodL1rLRVOPPbPrkl65oo/f8nK5/ermIytLUS67TFHGjxffhcsuU5R33hHlVBRFKSnxtnzRj4wMcT6J1/Y6dGj73QoExPNaZdNaduhQRSkoaLtevc9jxgxFKSsTj2XLFGXq1Lbf1fDrWvi5wUtWYoOAoiiK18FbPNXX1yM3Nxd1dXXIib7954HKSmDiRGD37sjn27UDjj0WyM0VkXhuLlBbC2RlAYMHiyQTPXoA778PzJ0L7NvX+tqcHPHaNWuAxkbt7bZrJx6HDrU+l5UFnHQSMGwY0KUL8PnnYr2KIra1YwdQUwOsXQv8+KP2etPSgObm1r+Li0X5tO4ihELAypVAVRXw0kvAzp3mr6usBG65RZTDTF4ecOutwL33ir9XrgS2bRP7bvhw0RysliH8eb1l9WitQ11eq7wy5ZLZzrBhwKpVrX/v2gVMmQJs3dr6msJC4MorgYULI58PBoEJE4CjjhL7vbAQWL9edCP94YfW5XJyxEzePXu2LWNlpXgf4etVP7eSksiyapVNTzAIPPKIKJPWsZGdDZx/PvDGG8D+/ZGvDQSAX/0K+Pe/I7cVfVyqOncGfvIT4D//Afbsifxffr7oNhD9XoyOEbvHk/q6LVuAf/5TfOf69QNuvBHIyGhd7o47xL4JnyAwEBDHwqZNkcdZQQHw5JPA2LGt66+pEecR9XzTpQuwd6/YPyNGiIfW8ad1HEfvU/W4vususa0VK8T/8/KAbt3ENrt2BT7+WJQnPR047TRxzAwbJl7z3nvA5s3AEUcAZ58tlnntNf3zQ/hns26d2Dfh50JAtHKcdprYRkGBOJcVFUV+DuGfW7du4rkdO/Q/2/x8ccz8/e/AgQPiNX36AD/9aWv//FjPIaEQ8PjjwAcfiG3k5YljtHNn8f+bbxbHhtZnEwwCjz4q9v+NN0buO/W736+f/nvVKpe67PbtrecMdT9WVbU9F6hl0Dr3NzaKY/Obb8Q56MYbxeestQ71XFBTE7nd8PPf+vXAs8+2Pfc98YR4P1rnqdmzxTIy32H1fDdhQtvzREaGeESfi8K3dcklohUo1jJEfy7R+8TsOFNpnbtlymVlPVrXjh07gEmTIo/Hjh3F+fz664EPP2xbnwkXfuzKfK8A0btn4kSgrs54OQDo1Ak480xxbvvoo8jPOhgUx9ybb0aWr1Mn4Gc/E/WnXr3E+bS2VjyfnS1+z8kBrrhCnB8A7c9OPZ7Dn1+/XhzDu3a1bk9t9QuvM6qfWV5eaypv9XweCrX9rqWni+Vkls3IMD4/rVwp3qf6/rQ+D63ve/h1zQ+sxAYMnHwgFNI+iGX7eeqdZMPXq1ZgwisNgLWLu9b2oi+80ZV5O+u0G0DYvYi4zcp7c2tbsmWwWla7n1v4cWOl8hb9npYvB158UVRazjyztTJp9RiJ9TsYT3oXIbePM7PA3YvjWmu5RPkcnWS0f+J1/nFiO7GsIx77QO/4AqwF3m5/X2TEGnzZXY9sUGi0L+2+1+gbU9dfL/62cszE+3N04uYumWPgZMCPgRMREREREcWfldiAySGIiIiIiIhMMHAiIiIiIiIywcCJiIiIiIjIBAMnIiIiIiIiEwyciIiIiIiITDBwIiIiIiIiMuGLwOmJJ55Anz590KFDB5x22mn46KOPDJdfvHgxjj32WHTo0AGDBg3CG2+8EaeSEhERERFRKvI8cFq4cCFuu+02zJgxA//+979x4okn4rzzzsOOHTs0l1+1ahXGjx+Pa6+9Fp9++ikuuugiXHTRRfjiiy/iXHIiIiIiIkoVnk+Ae9ppp+HUU0/F448/DgBobm5GcXExbr75Ztx1111tlr/44otx4MABvPbaay3PnX766Rg8eDCefvpp0+1xAlwiIiIiIgISaALcxsZG/Otf/8KoUaNanktLS8OoUaOwevVqzdesXr06YnkAOO+883SXb2hoQH19fcSDiIiIiIjICk8Dp127diEUCqF79+4Rz3fv3h3bt2/XfM327dstLT9r1izk5ua2PIqLi50pPBERERERpQzPxzi57e6770ZdXV3LY8uWLV4XiYiIiIiIEkw7LzdeUFCA9PR01NbWRjxfW1uLHj16aL6mR48elpbPzMxEZmamMwUmIiIiIqKU5GnglJGRgZNPPhnLly/HRRddBEAkh1i+fDkmTZqk+ZqhQ4di+fLlmDx5cstz7777LoYOHSq1TTUXBsc6ERERERGlNjUmkMqXp3js5ZdfVjIzM5V58+Ypa9euVSZOnKh06dJF2b59u6IoinLFFVcod911V8vyf//735V27dopDz/8sPLVV18pM2bMUNq3b698/vnnUtvbsmWLAoAPPvjggw8++OCDDz744EMBoGzZssU0jvC0xQkQ6cV37tyJ6dOnY/v27Rg8eDDeeuutlgQQmzdvRlpa61CsYcOGoaKiAmVlZbjnnnvQr18/vPrqqxg4cKDU9nr16oUtW7YgOzsbgUDAlfdkRU1NDQYMGOB1MYiIiIiI4mrLli2eTw+kKAr27duHXr16mS7r+TxOqW7r1q3M9EdEREREKSfR5lVN+qx6REREREREsWLgREREREREZMLzMU6pLicnB8OHD8dpp50GRVHwj3/8A0OHDkV6ejqamppa/jb6n5VluZ7EWk8il53rSaz1JHLZuZ7EWk8il53rSaz1JHLZU2E9iThlEMc4ERERERERmWBXPSIiIiIiIhMMnIiIiIiIiEwwcCIiIiIiIjLBwImIiIiIiMgEAyciIiIiIiITTEce5oMPPsBdd92Fjz76CKFQyOviEBERERGRC+bMmYPJkydbeg1bnMIcOHAARxxxBPr37+91UYiIiIiIyCFpaSLs6dy5M7Kzs22tgy1OYc4//3ycf/75AIBAIOBxaYiIiIiIyEzHjh3R2NiI3NxcNDc3o7CwEOvXr49YJisrC/X19ejUqROamppsbYctTkRERERElLCamprQ3NwMAAiFQq4NuWHgRERERERECaupqQmKomDv3r1oamrCd99958p2GDgREREREVHCUhQF6enpSEtLQ1NTE9LT013ZDgMnIiIiIiJKWGpugrS0NKSlpeGxxx5zZTsMnIiIiIiIKKGpWfNmz56NiRMnurINZtULs3//fnz22Wf4/PPPvS4KERERERFJUBQFTU1NOOOMM7Bu3Tpce+21bZbZv38/AKC+vh6BQAAffvghjjzySAwYMABHH3201HYCiqIojpY8ga1YsQIjR470uhhERERERBQHZ599NlasWCG1LLvqhRkxYgQURdF8DBo0CEcccQTat28PoLU5MC0tDenp6SgoKMARRxzRskxBQQEKCgoAiH6X0fNCFRUVRaz/8OHDLeuMRfv27dGlSxcce+yxOO+889ClS5eY16lKS0vD0KFDI8qtznvlhPT0dPTu3Rvnn38+Dh8+jK5duyI7O1tqv5jNuxUIBDTL/6tf/crwteH/Uz9rI127dsVxxx0XUX6ZAYoy84b16NED559/fkT5s7OzNY8vrfXLlKNz58447rjjIo77rKwsZGRkaC6vrlMtQ7t2+o3Y7du3b9k/4e/h5ptvxrBhwxAMBk3LZ9XRRx+N//mf/2n5jnXt2tWxOdrCj1dFUbBz507HB6NmZGSgffv2SE9Pb3mowj/TQCCA9u3bG+5/Vffu3bFw4UIoioL/+Z//caysgwYNajnvqMd+VlaWI+uOPvYPHz6Mdu3aOXLOBMT+69KlS8RxYlZ2K8eRuu7wR/v27XW/M+r7Uj9jo+NKPS+lp6dbKr8V0efN8PLrUc+5atnT0tLaLB/+vqKviYMGDUJGRobuNsKPfZXe8RC+f6LPPT169EDnzp3ldoQFV111VcTx2rVrV8fWHX68qucep74Lqs6dO+OII44wLEP79u2ltxsIBHD00Udj4cKFOHz4MDIzMx0pZ3Z2Nrp06dJy3pE57mW/u9HH/eHDhx2d4zMrK6vlvHb48GHT+prVbWvVdzp16mR4Pgn/TLOzs3HyySejS5cuEeOHevXqhZycHGRmZra5niuKgjPPPBNZWVkYNGgQ8vPz0b17d/Tu3RvDhg3Dscce26Ye44eHbNAEsKuelMbGRpSUlODgwYNYuXIlampq0K1bN9TW1qJHjx5o3749hg4dioyMDIRCIaxevRo/+clPsGXLFqxevRqdOnVCRkYGfvzxR7Rr1w6dOnXCPffcE7GNPXv24Nhjj0VtbS0yMzMRCoVQV1eHjh07QlEUDBgwABs3bkQoFELfvn3x/fffo7CwEBs3bsTBgweRkZGBtLQ0nHTSSejfvz+6d++OIUOGoF+/fvjoo48AAFu2bEF9fT0URUHXrl2RlpaGwsJCbN++HR07dkS7du2QnZ2NDRs24MCBA8jJyUFjYyMaGxvRt29f9OzZEzNnzowo93HHHYe1a9ciNzcX33zzDRRFQW5uLurr65GRkYG8vDw0NjaioKAAtbW1KCwsxJ49e7Br1y506tQJaWlp2L9/P4qLi9G3b1+cfvrpOOecc7Bnzx5MnDgRiqJg5cqV2LRpE/bu3YtQKITc3NyWycuam5vRvXt3dOjQAd988w2amppaTsh79uxpeV/HHXcc2rdv36b8p5xyCj7//HMcOnQIiqIgEAhg//79aGhoQJcuXVBYWIj6+nocPny4pWK/fv16dOzYEYcPH275XAsLC9G5c2dccMEFOP300yPK/+GHH+Kzzz5ryfiSmZmJDh06YP/+/ejduzcAoEOHDvjyyy+Rl5eHH3/8EQ0NDWhoaEBOTg4URUHnzp1x1VVXYdSoURHH5amnnoqNGzeiU6dO2LNnD+rq6tDU1ITc3Fy0a9cOTU1NaN++PQoLC9GuXTt8/fXXKCgoQENDAxRFwa5duxAMBpGZmYmGhgaUlpbi7LPPjjjuP/roIxw8eBD/+c9/cPjwYeTk5KCurg5ZWVno27cvNm/ejA4dOiAnJwcdOnTAt99+i8bGRmRlZSEtLQ21tbXo3r07+vfvj9NPPx2nn356xGcwcOBAHHHEEfjqq6/w/vvvt0xet27dOnTu3BkNDQ3Iy8vDnj17kJubiyOOOAKZmZn4+uuvWzLodOjQAQ0NDWhubkavXr2wf/9+KIqC0tJSjBkzpuV4uPbaa7F69WocOnQIa9euRSAQQOfOnVFXV4f8/HwUFBRgx44dSE9PR69evXD48GGsW7cOXbp0QXp6OhobG7Fnzx4cc8wxOOKII1qOV3X9d999N5YtW4bNmze3dAlQzwsAcOSRRwIQXQo2bNiAY489Frt27cL+/fuxe/du5Ofnt1RIunTpgn79+mHbtm1obm6Goihobm7Gf/7zH7Rv3x7HHHNMy2fap08f5OTkYN++fVi3bh0yMjJaHrt37265WObn52P06NEtNzy6deuGPn36IDc3F9u3b8fevXuRk5ODH3/8ER07dmypUKr7JTc3F/v27Wv5jmRkZODgwYM44ogjcMUVV+DHH3/EkCFDMHjwYCiKggMHDuCVV15BXV1dy/erU6dO6NSpExRFaTkW6+rqUF9fjw4dOiAQCODHH39EY2MjOnXqhJycnDbH/p49e3DGGWdAURR89dVX2L9/f0QFrn///qipqWm5iRUIBLBjxw4cOnQIaWlpOHjwIBobG9GvXz906tQJDQ0NuO6661rWPXHiROzfvx+VlZXYs2dPyw2cAwcOoH379jjqqKPQvn171NfXY8uWLTjyyCOxf/9+bNu2DU1NTejSpQvatWuHvXv3om/fvrj++uvbXFPUdWRkZOC///0vDh8+jM6dOyMUCuHII4/E+vXr0bdvX3Ts2BHNzc0t391Dhw61nD+LiorQuXNnNDY24mc/+1mb8v/f//0fdu7ciY4dO6KhoQHp6ektgUL79u2xZcsWdOjQAdnZ2di3bx++//57tG/fHp06dUJjYyOam5tx5JFH4qGHHtIsf3p6esv5vGvXrti/f3/LMdKnT5+WGy7r16/HMcccg7q6OmzevBmZmZno2LEj+vTpg2+++QY9evTA//7v/0asv6SkBFVVVTh8+DC2bt0KRVHQrl07NDQ0oKCgAEVFRaipqUFubi727t0LQFT09uzZg0OHDrWcg7p374527dq17J/oc8/333+PUCiE3bt3o6amBj/88AMAIDMzEz/88ANyc3PRuXNn9OzZE5s3b4aiKDjmmGPQ1NSEb7/9FgDQrl07ZGVlobGxEYcPH0bv3r1x++23Rxyv1157LRYtWoSOHTtiy5YtCAQCUDv8dO3aFYqioLCwEABQW1uLdu3aISMjA/v27cPevXvRoUMHZGVltZyX1ONVXf/111+PN954A/+vvbsJiWr/4zj+cU42Nmqmg2mZZmOO9mi2qBCKkoIJDSqIokKMNhZBRdKiVZuSAiVs06psEURF5EoXaS56gMqNWmbjwiQY07JxnBznybmLyx0Q/3/Onz/33kl5v5bn4cf3N5wf5/eZ8zQxMSGLxaJQKKRIJCK73R7/7QcHB7V27VpZrVYFAgF9/vw5PiaDwaCSkpLkcDjk8/m0a9cuZWRk6PHjx4pGo/E/x8LhsAKBgIqLi5WSkqLp6WkNDg4qMzNTwWBQfr8/PgZisZgmJia0fv16FRUVacOGDdq/f7/Gx8e1e/duud1u/fz5U+FwWDabTT6fT+np6UpJSVFWVlZ8DjQ5OalFixYpHA7L5/PF35pWWlqq3NxcFRQUyOVyacuWLfL7/Xr9+rVGR0fl8/lmnQ//muOkpqbq69evCofDSk5OjteQkZEhwzDk9XrldDrnHPfj4+MqLi6WYRj68eOHpqamFIvFFI1GZbVaVVpaqi9fvshut8ePo/z8fHk8Ho2PjysUCik9PV1LliyRzWZTZWWljh8/Hm/75MmTevv2rdxud/zc9tc8xul0yjAM9ff3y+FwxM/vAwMDSk5OltVqjc9jsrOzlZ2dPaf+HTt2yO/3y+v1amRkJD5uJycnNTMzo1WrVmn58uUKBAIaGxvT4cOHlZmZqb6+Pr1//16GYWjZsmWqqqrSwMCA0tLSdOjQoTnjat26dSoqKtLq1avV3d2tkpISWSwW5eTk6NevX6qsrJyzz3zCrXoAAAAAYIJb9QAAAADABMEJAAAAAEwQnAAAAADABMEJAAAAAEwQnAAAAADABMEJAAAAAEwQnAAA81ZtbW38GzPJycnKycnRvn37dPfuXc3MzPzP7bS0tPytHwwHACw8BCcAwLzmcrnk8Xg0NDSktrY27dmzR+fPn1d1dbUikUiiywMALBAEJwDAvGa1WpWbm6u8vDxt3bpVV65cUWtrq9ra2tTS0iJJampq0qZNm5Samqr8/HydPXtWfr9fktTV1aVTp05pYmIifvXq6tWrkqRgMKj6+nrl5eUpNTVV27dvV1dXV2I6CgBIKIITAGDBqaysVFlZmZ4+fSpJslgsam5u1ocPH3T//n11dnbq8uXLkqSKigrdunVLS5culcfjkcfjUX19vSTp3LlzevPmjR4+fKienh4dOXJELpdLbrc7YX0DACRGUiwWiyW6CAAA/h+1tbXyer169uzZnHXHjh1TT0+PPn78OGfdkydPVFdXp+/fv0v68xmnCxcuyOv1xrcZHh6Ww+HQ8PCwVq5cGV++d+9ebdu2TdevX//b+wMA+H0tSnQBAAD8E2KxmJKSkiRJz58/V0NDgz59+iSfz6dIJKLp6WlNTU3JZrP9x/17e3sVjUbldDpnLQ8Gg7Lb7f94/QCA3wvBCQCwIPX392vNmjUaGhpSdXW1zpw5o2vXrikrK0svX77U6dOnFQqF/mtw8vv9MgxD3d3dMgxj1rq0tLR/owsAgN8IwQkAsOB0dnaqt7dXFy9eVHd3t2ZmZtTY2CiL5c9Hex89ejRr+8WLFysajc5aVl5ermg0qtHRUe3cufNfqx0A8HsiOAEA5rVgMKiRkRFFo1F9+/ZN7e3tamhoUHV1tWpqatTX16dwOKzbt2/rwIEDevXqle7cuTOrjcLCQvn9fnV0dKisrEw2m01Op1MnTpxQTU2NGhsbVV5errGxMXV0dGjz5s2qqqpKUI8BAInAW/UAAPNae3u7VqxYocLCQrlcLr148ULNzc1qbW2VYRgqKytTU1OTbty4oY0bN+rBgwdqaGiY1UZFRYXq6up09OhRZWdn6+bNm5Kke/fuqaamRpcuXVJJSYkOHjyod+/eqaCgIBFdBQAkEG/VAwAAAAATXHECAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABN/AL/j8OPzEROaAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#Filter the DataFrame for trips 10-25 and 50-100\n",
    "df_10_25 = df[df['Number of Trips 10-25'] > 10000000]\n",
    "df_50_100 = df[df['Number of Trips 50-100'] > 10000000]\n",
    "\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(df_10_25['Date'], df_10_25['Number of Trips 10-25'], color='blue', label='Trips 10-25')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Number of Trips')\n",
    "plt.title('Number of Trips 10-25')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(df_50_100['Date'], df_50_100['Number of Trips 50-100'], color='red', label='Trips 50-100')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Number of Trips')\n",
    "plt.title('Number of Trips 50-100')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time taken with 10 processors: 0.0017359256744384766 seconds\n",
      "Time taken with 20 processors: 0.0011332035064697266 seconds\n"
     ]
    }
   ],
   "source": [
    "from dask.distributed import Client\n",
    "import time\n",
    "\n",
    "for n_processors in [10, 20]: \n",
    "        start_time = time.time()\n",
    "        average = average.groupby(average.index)['Population Staying at Home'].mean().reset_index()\n",
    "        average_dist = df_full[('Trips')]\n",
    "        end_time = time.time() - start_time\n",
    "        time_taken= end_time\n",
    "        print(f\"Time taken with {n_processors} processors: {end_time} seconds\")\n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/bs/9khxsbnj71v_nqkrl5_c7vlw0000gp/T/ipykernel_1850/3865823191.py:16: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ax.set_xticklabels(meandata.index, rotation=90)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Scatter Plot for Average People Staying at Home per Week\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(25,15)\n",
    "ax.scatter(df_10_25['Date'], df_10_25['Number of Trips 10-25'], color= \"green\")\n",
    "ax.set_title('Average Number of People Staying Home per Week ')\n",
    "ax.set_ylabel('Week')\n",
    "ax.set_xlabel('National Average Population Staying at Home')\n",
    "\n",
    "# Bar Plot for \"How far are people traveling when they don't stay at Home\"\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(10,7)\n",
    "plt.bar(meandata.index, meandata.values, color = 'red') \n",
    "ax.set_title('Average Distances travelled When Not at Home')\n",
    "ax.set_ylabel('Population Not Staying at Home (millions)')\n",
    "ax.set_xlabel('Trips')\n",
    "ax.set_xticklabels(meandata.index, rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from dask_ml.model_selection import train_test_split\n",
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df_full[['Trips 1-25 Miles', 'Trips 25-100 Miles']]\n",
    "y = df[['Number of Trips 5-10', 'Number of Trips 10-25']]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def linear_model(x, y):\n",
    "    model = LinearRegression()\n",
    "    model.fit(x, y)\n",
    "    r_sq = model.score(x, y)\n",
    "    print(r_sq)\n",
    "    print(f\"coefficient of determination: {r_sq}\")\n",
    "    print(f\"intercept: {model.intercept_}\")\n",
    "    print(f\"coefficients: {model.coef_}\")\n",
    "    # Model to predict the response\n",
    "    y_pred = model.predict(x)\n",
    "    print(f\"predicted response:\\n{y_pred}\")\n",
    "    \n",
    "    \n",
    "    \n",
    "def polynomial(x, y):\n",
    "    # Transform input data\n",
    "    x_ = PolynomialFeatures(degree=2, include_bias=False).fit_transform(x)\n",
    "    # Create a model and fit it\n",
    "    model = LinearRegression().fit(x_, y)\n",
    "    # Get results\n",
    "    r_sq = model.score(x_, y)\n",
    "    intercept, coefficients = model.intercept_, model.coef_\n",
    "    # Predict response\n",
    "    y_pred = model.predict(x_)\n",
    "\n",
    "    print(r_sq)\n",
    "    print(f\"coefficient of determination: {r_sq}\")\n",
    "    print(f\"intercept: {intercept}\")\n",
    "    print(f\"coefficients: {coefficients}\")\n",
    "    # Model to predict the response\n",
    "    print(f\"predicted response:\\n{y_pred}\")\n",
    "\n",
    "\n",
    "def adv_linear_model(clean_df_full, sampled_df):\n",
    "    # Extracting the required columns from clean_df_full\n",
    "    clean_df_full = clean_df_full[[\"Trips 10-25 Miles\", \"Trips 5-10 Miles\"]]\n",
    "    \n",
    "    # Extracting the required column from sampled_df\n",
    "    x = sampled_df.loc[:, \"Number of Trips 25-50\"].values.reshape(-1, 1)\n",
    "    \n",
    "    # Extracting the required column from clean_df_full\n",
    "    y = clean_df_full.loc[:, 'Trips 10-25 Miles'].values.reshape(-1, 1)\n",
    "    \n",
    "    x = sm.add_constant(x)\n",
    "    \n",
    "    # Create the model and fit it\n",
    "    model = sm.OLS(y, x)\n",
    "    results = model.fit()\n",
    "    \n",
    "    # Printing the results\n",
    "    print(results.summary())\n",
    "    print(f\"coefficient of determination: {results.rsquared}\")\n",
    "    print(f\"adjusted coefficient of determination: {results.rsquared_adj}\")\n",
    "    print(f\"regression coefficients: {results.params}\")\n",
    "    \n",
    "    # Predict response\n",
    "    print(f\"predicted response:\\n{results.fittedvalues}\")\n",
    "    print(f\"predicted response:\\n{results.predict(x)}\")\n",
    "\n",
    "\n",
    "    \n",
    "    \n",
    "def model_training(x, y):\n",
    "    X_train, X_test, y_train, y_test = train_test_split(x, y, shuffle=False)\n",
    "    model = RandomForestClassifier(verbose=1)\n",
    "    print(X_train)\n",
    "    print(X_test)\n",
    "    print(model.fit(X_train, y_train))\n",
    "    predictions = model.predict(X_test)\n",
    "    print(predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of X: (7, 22)\n",
      "Shape of y: (7, 22)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Set the desired number of samples\n",
    "desired_samples = 7  \n",
    "\n",
    "# Perform simple random sampling\n",
    "sampled_df = df.sample(n=desired_samples, random_state=42)  \n",
    "\n",
    "print(\"Shape of X:\", sampled_df.shape)\n",
    "print(\"Shape of y:\", df_full.shape)\n",
    "\n",
    "\n",
    "# Now, 'sampled_df' contains a random subset of rows from your original dataset with the desired number of samples.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Month of Date', 'Week of Date', 'Year of Date', 'Level', 'Date',\n",
      "       'Week Ending Date', 'Trips <1 Mile', 'People Not Staying at Home',\n",
      "       'Population Staying at Home', 'Trips', 'Trips 1-25 Miles',\n",
      "       'Trips 1-3 Miles', 'Trips 10-25 Miles', 'Trips 100-250 Miles',\n",
      "       'Trips 100+ Miles', 'Trips 25-100 Miles', 'Trips 25-50 Miles',\n",
      "       'Trips 250-500 Miles', 'Trips 3-5 Miles', 'Trips 5-10 Miles',\n",
      "       'Trips 50-100 Miles', 'Trips 500+ Miles'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(clean_df_full.columns)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Testing polynomial:\n",
      "0.4683864323965697\n",
      "coefficient of determination: 0.4683864323965697\n",
      "intercept: [22221764.18705552  3300262.43405295]\n",
      "coefficients: [[-4.56669927e-02  2.34625701e-11]\n",
      " [-7.15088818e-03  3.88616446e-12]]\n",
      "predicted response:\n",
      "[[ 34766.99275975  11559.20981569]\n",
      " [ 13626.00106538  33627.64617243]\n",
      " [ 40740.03769423  45450.7693564 ]\n",
      " [291174.96688622 115796.49284639]\n",
      " [  3316.48270451  26686.59975034]\n",
      " [149158.62275691  79178.40414378]\n",
      " [108262.89613297  67519.87791497]]\n",
      "\n",
      "Testing adv_linear_model:\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.268\n",
      "Model:                            OLS   Adj. R-squared:                  0.122\n",
      "Method:                 Least Squares   F-statistic:                     1.833\n",
      "Date:                Fri, 12 Apr 2024   Prob (F-statistic):              0.234\n",
      "Time:                        00:10:30   Log-Likelihood:                -124.40\n",
      "No. Observations:                   7   AIC:                             252.8\n",
      "Df Residuals:                       5   BIC:                             252.7\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const       2.256e+08   6.95e+06     32.479      0.000    2.08e+08    2.43e+08\n",
      "x1           233.6584    172.603      1.354      0.234    -210.032     677.349\n",
      "==============================================================================\n",
      "Omnibus:                          nan   Durbin-Watson:                   1.242\n",
      "Prob(Omnibus):                    nan   Jarque-Bera (JB):                0.992\n",
      "Skew:                          -0.897   Prob(JB):                        0.609\n",
      "Kurtosis:                       3.426   Cond. No.                     4.95e+04\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 4.95e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n",
      "coefficient of determination: 0.2682130536867622\n",
      "adjusted coefficient of determination: 0.12185566442411466\n",
      "regression coefficients: [2.25613074e+08 2.33658385e+02]\n",
      "predicted response:\n",
      "[2.27563888e+08 2.26300030e+08 2.28272107e+08 2.31980032e+08\n",
      " 2.26612198e+08 2.49332438e+08 2.27488884e+08]\n",
      "predicted response:\n",
      "[2.27563888e+08 2.26300030e+08 2.28272107e+08 2.31980032e+08\n",
      " 2.26612198e+08 2.49332438e+08 2.27488884e+08]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/statsmodels/stats/stattools.py:74: ValueWarning: omni_normtest is not valid with less than 8 observations; 7 samples were given.\n",
      "  warn(\"omni_normtest is not valid with less than 8 observations; %i \"\n"
     ]
    }
   ],
   "source": [
    "# Test linear_model\n",
    "#print(\"Testing linear_model:\")\n",
    "#linear_model(clean_df_full['Trips 1-25 Miles'].values.reshape(-1, 1), sampled_df[['Number of Trips 5-10', 'Number of Trips 10-25']])\n",
    "\n",
    "# Test polynomial\n",
    "print(\"\\nTesting polynomial:\")\n",
    "polynomial(clean_df_full['Trips 1-25 Miles'].values.reshape(-1, 1), sampled_df[['Number of Trips 5-10', 'Number of Trips 10-25']])\n",
    "\n",
    "# Test adv_linear_model\n",
    "print(\"\\nTesting adv_linear_model:\")\n",
    "adv_linear_model(clean_df_full, sampled_df)\n",
    "\n",
    "# Test model_training\n",
    "#print(\"\\nTesting model_training:\")\n",
    "#model_training(df_full['Trips 1-25 Miles'].values.reshape(-1, 1), sampled_df[['Number of Trips 5-10', 'Number of Trips 10-25']])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#1e)\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Plot the data\n",
    "fig, ax = plt.subplots(figsize=(10, 7))\n",
    "ax.bar(range(len(meandata.index)), meandata.values, color='green')\n",
    "\n",
    "# Set title and labels\n",
    "ax.set_title('Population Not Staying at Home by Distance Travelled', fontsize=16)\n",
    "ax.set_ylabel('Population Not Staying at Home (millions)', fontsize=14)\n",
    "ax.set_xlabel('Trips', fontsize=14)\n",
    "\n",
    "# Set x-axis tick labels and positions\n",
    "ax.set_xticks(range(len(meandata.index)))\n",
    "ax.set_xticklabels(meandata.index, rotation=45, ha='right', fontsize=12)\n",
    "\n",
    "# Set the size of the tick labels on the y-axis\n",
    "ax.tick_params(axis='y', labelsize=12)\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  }
 ],
 "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": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}