v1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Machine Learning - Multiple Regression\n",
    "\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "import matplotlib.pyplot as plt # plotting\n",
    "import os # accessing directory structure\n",
    "import pandas as pd # data processing, CSV file I/O"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv('antenna.csv')"
   ]
  },
  
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 509 rows and 13 columns\n"
     ]
    }
   ],
   "source": [
    "df=df.dropna()\n",
    "nRow, nCol = df.shape\n",
    "print(f'There are {nRow} rows and {nCol} columns')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Wm</th>\n",
       "      <th>W0m</th>\n",
       "      <th>dm</th>\n",
       "      <th>tm</th>\n",
       "      <th>rows</th>\n",
       "      <th>Xa</th>\n",
       "      <th>Ya</th>\n",
       "      <th>gain</th>\n",
       "      <th>vswr</th>\n",
       "      <th>bandwidth</th>\n",
       "      <th>s</th>\n",
       "      <th>pr</th>\n",
       "      <th>p0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2142.9</td>\n",
       "      <td>162.86</td>\n",
       "      <td>77.143</td>\n",
       "      <td>214.29</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3543.5</td>\n",
       "      <td>2142.9</td>\n",
       "      <td>2.799175</td>\n",
       "      <td>1.372040</td>\n",
       "      <td>110.6698</td>\n",
       "      <td>-16.090654</td>\n",
       "      <td>0.204248</td>\n",
       "      <td>0.483952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2142.9</td>\n",
       "      <td>162.86</td>\n",
       "      <td>77.143</td>\n",
       "      <td>214.29</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3543.5</td>\n",
       "      <td>6964.3</td>\n",
       "      <td>2.817305</td>\n",
       "      <td>1.638103</td>\n",
       "      <td>120.7497</td>\n",
       "      <td>-12.328015</td>\n",
       "      <td>0.197374</td>\n",
       "      <td>0.464289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2142.9</td>\n",
       "      <td>162.86</td>\n",
       "      <td>351.430</td>\n",
       "      <td>214.29</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8365.0</td>\n",
       "      <td>6964.3</td>\n",
       "      <td>2.941413</td>\n",
       "      <td>1.242714</td>\n",
       "      <td>123.6901</td>\n",
       "      <td>-19.313586</td>\n",
       "      <td>0.212885</td>\n",
       "      <td>0.490808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2142.9</td>\n",
       "      <td>162.86</td>\n",
       "      <td>351.430</td>\n",
       "      <td>214.29</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8365.0</td>\n",
       "      <td>2142.9</td>\n",
       "      <td>2.844078</td>\n",
       "      <td>1.242587</td>\n",
       "      <td>122.4301</td>\n",
       "      <td>-19.317644</td>\n",
       "      <td>0.212405</td>\n",
       "      <td>0.496603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2142.9</td>\n",
       "      <td>162.86</td>\n",
       "      <td>351.430</td>\n",
       "      <td>214.29</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8365.0</td>\n",
       "      <td>6964.3</td>\n",
       "      <td>2.812315</td>\n",
       "      <td>1.271176</td>\n",
       "      <td>124.3198</td>\n",
       "      <td>-18.459992</td>\n",
       "      <td>0.207997</td>\n",
       "      <td>0.489240</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Wm     W0m       dm      tm  rows      Xa      Ya      gain      vswr  \\\n",
       "0  2142.9  162.86   77.143  214.29   3.0  3543.5  2142.9  2.799175  1.372040   \n",
       "1  2142.9  162.86   77.143  214.29   3.0  3543.5  6964.3  2.817305  1.638103   \n",
       "2  2142.9  162.86  351.430  214.29   5.0  8365.0  6964.3  2.941413  1.242714   \n",
       "3  2142.9  162.86  351.430  214.29   3.0  8365.0  2142.9  2.844078  1.242587   \n",
       "4  2142.9  162.86  351.430  214.29   3.0  8365.0  6964.3  2.812315  1.271176   \n",
       "\n",
       "   bandwidth          s        pr        p0  \n",
       "0   110.6698 -16.090654  0.204248  0.483952  \n",
       "1   120.7497 -12.328015  0.197374  0.464289  \n",
       "2   123.6901 -19.313586  0.212885  0.490808  \n",
       "3   122.4301 -19.317644  0.212405  0.496603  \n",
       "4   124.3198 -18.459992  0.207997  0.489240  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Distribution graphs (histogram/bar graph) of column data\n",
    "def plotPerColumnDistribution(df, nGraphShown, nGraphPerRow):\n",
    "    nunique = df.nunique()\n",
    "    df = df[[col for col in df if nunique[col] > 1 and nunique[col] < 50]] # For displaying purposes, pick columns that have between 1 and 50 unique values\n",
    "    nRow, nCol = df.shape\n",
    "    columnNames = list(df)\n",
    "    nGraphRow = (nCol + nGraphPerRow - 1) / nGraphPerRow\n",
    "    plt.figure(num = None, figsize = (6 * nGraphPerRow, 8 * nGraphRow), dpi = 80, facecolor = 'w', edgecolor = 'k')\n",
    "    for i in range(min(nCol, nGraphShown)):\n",
    "        plt.subplot(nGraphRow, nGraphPerRow, i + 1)\n",
    "        columnDf = df.iloc[:, i]\n",
    "        if (not np.issubdtype(type(columnDf.iloc[0]), np.number)):\n",
    "            valueCounts = columnDf.value_counts()\n",
    "            valueCounts.plot.bar()\n",
    "        else:\n",
    "            columnDf.hist()\n",
    "        plt.ylabel('counts')\n",
    "        plt.xticks(rotation = 90)\n",
    "        plt.title(f'{columnNames[i]} (column {i})')\n",
    "    plt.tight_layout(pad = 1.0, w_pad = 1.0, h_pad = 1.0)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Correlation matrix\n",
    "def plotCorrelationMatrix(df, graphWidth):\n",
    "    filename='meta material antenna'\n",
    "    df = df.dropna('columns') # drop columns with NaN\n",
    "    df = df[[col for col in df if df[col].nunique() > 1]] # keep columns where there are more than 1 unique values\n",
    "    if df.shape[1] < 2:\n",
    "        print(f'No correlation plots shown: The number of non-NaN or constant columns ({df.shape[1]}) is less than 2')\n",
    "        return\n",
    "    corr = df.corr()\n",
    "    plt.figure(num=None, figsize=(graphWidth, graphWidth), dpi=80, facecolor='w', edgecolor='k')\n",
    "    corrMat = plt.matshow(corr, fignum = 1)\n",
    "    plt.xticks(range(len(corr.columns)), corr.columns, rotation=90)\n",
    "    plt.yticks(range(len(corr.columns)), corr.columns)\n",
    "    plt.gca().xaxis.tick_bottom()\n",
    "    plt.colorbar(corrMat)\n",
    "    plt.title(f'Correlation Matrix for {filename}', fontsize=15)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1920x1600 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotPerColumnDistribution(df, 10, 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x2287063ca08>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dKd3jlhFC/C6ZNorJC5AfP9becwDJtOFxy0bnx7b7sU3E3/wWM5RTkKmA4phMd9QHCCFBReMX8Tu357db972IN5MZeu4nhAQSjWuETB7KZUmQud0PNuzpwPK2OcVf01oXmepqOY5TsdMwpu0UL3pBZ18Wlu141CJCSFAYlu06fhiW7VGLxs6Pbfdjm4i/+S1mKKcgUwHFMZnuqA8QQoKKxi/id5We38KKSM/9hJBAonGNkMlDuSwJskr3g3pNLvk13RvIVFbLcZyKnYaRRQEtca3kay1xDZJIl4kQcnqKJLqOH4oketSisfNj2/3YJuJvfosZyinIVEBxTKY76gOEkKCi8Yv4XaXnt4xh03M/ISSQaFwjZPJQLkuCrNL9oD9rlvya7g1kKqvlOE53hmGaoip2tLcVL37h/MCmqOpxywghfpeIKNh905KS8WP3TUuQiCget2x0fmy7H9tE/M1vMUM5BZkKKI7JdEd9gBASVDR+Eb9ze37bumIhzkmE6bmfEBJINK4RMnkolyVB5nY/2NHehoc6jhV/TWtdZKqr5TguTfqfGGCSJOCCRAR71y2F5XBIAkNCUyBJVBNGgsWyHHSldJi2A1kU0BRVAxPHQW27IDDMb4ziwfVXwLIdSENtFwTmddNGNbztw6+7l20XBIYLZpaOx1636UyYpo2ulF7SdlmmSv1q8lscU05BpgKKYzLdUR8ghAQVjV/EDxyHoyetI2faEBmDpoio1xQIAoMgMLQ2x/DwF5YhZziwHA5RYFAEhoGcgbqQEpjnf0IIcRyO/qyBGSEJP/385RAEBllgkCWhOO4NZxgWutNG8R7dGFGgKLRUR0guZyGZzfeNeFjG//7CMgzm7OJaC+WypJbGu1ZZyHN/vulKGJYNTRFh2Rz/eM0C/NO174UkCsiZNt45mYUiCmgI03MaCT63/lKrOQnKoIbJ5SwcG8iiszd/lnLGsNHSoGEONIRCdKlIMFiWg6O9aRwbFseZBgvzGiK+v2FaloN3BrIwLA6BAaZt452BLGbVab5vu+NwvNWXwZvJTPG65xI25iUivp+gcxyOI90prL3nADr7ssXK8tbmmGdttywHh7tS2LCno9imHe1tuKg55vtYME0br3SlsHFY27e3t+GipmggCp6COuHiOBxHulJYe++wOF69BK1neRPHlFOQqYDimEx31AcIIUFF4xfxmuNwHD4xWDLPsG3VYqR1C7PrwxAEBsuykc7Z6BrUkUwbeKjjGNZceS4SUQWDuVPfRwghfuY4HEeTaSRTOm558IVR56QMw8Lh7jQ27ulAY1TFF6+eD2NmGCFJxMyIEoi5Q0KqIZezcCKto3tYXvC3V1+I+YkI5a+k5izLwSsnBse9PiUIDI0xFaZp4/hArizf/fZjh9Gd0rF1xUIMxNRArN8SUolbf9m5ug3RkITXu9IlcxLnCNqkrzdSzxnmpG6iZ1DH5odfwspd+7H54ZfQM6jjpG6O/sOE+ERvxkD3iDjuHtTRmzG8btqoTuYM9GdM3HzXs/jQd36Nm+96Fv0ZEydz/m97X1bHiYFcyXU/MZBDX1b3ummj6knrxQlIAOjsy2LtPQfQk/au7d0pvXhjLLRpw54OdKf8fz27Unqx0AnIt33jng50BaDthQmXlbv24wNbn8LKXftxuDsNw7C8btqoelJ6sdAJGIrjew+gx6PrTjkFmQoojsl0R32AEBJUNH4RryXTRtk8w6b7DsK087ufmKaNI91p3Pivv8eKHc9gyyOH8Nll5+Ku372Bt/ty0C2OZNr/c0GEEJJMG+gaPFXoBAybk3KZW+1OG8VCpy//RSs2P/wSPnj7r3H9zmfwSlcqEHNwhEw2XbfwWjKNVSPygh888SqSWcoHSO1NxvqUZTl4tSvlmu9uuOp8dPZlceu+F3GsNxuItSNCKnHrL9/7z1dxMmOWzUn0ZSd/ToKKnYYxHY5b971Y8o9x674XYTrc45YRMnaG7bjGsWE7HrdsdDnTwab7DpZNhuVM/7c9a7hf96zh/7bnTLvY7oLOvixypu1Ri/Jx7NYmMwBxbDncte12AO4lhQmXkYVa3QGYZM76LI4ppyBTAcUxme687gOOw9E9qOPtvgy6B3U41PcIIWPk9fhFiGG5P5/1pg1kDRvdaQPrRzx7fvWhF7G8bQ7CigiB5f8MQgjxO8OyMTOqVJiTKp/HLMwbbrjqfHz1oRfL5uC60gZOnMxS/k+mlZ5M5bzAon5APDAZ61PdKb1iXNdrcvFr9WEZVgDWvQipxK2/LG+bU7beX605Cd8WOzHG5jDGfsUYe5kx9kfG2N+5fA9jjH2fMfYnxtiLjLHFE/lMu8ICNSWVJEiCHMeVikSCkNDaDkdjVMXO1W3Yu24pdq5uQ2NUDcR1FxhDS1wr+VpLXIPAvNsuXhLc2yQGYAv7ILc9yH1QrHDdvTr2IMhjMSEFFMdkuvOyDxSO//nUtt/hytt+hU9t+x0Onxik/kcIGRO6hxOvKZLo+nyWTBuwOWBWWEBKRBRkDBuKJEBT6CgnQoj/KZJYcU5KdJmSKswb1muy6zhoWA6e7zyJT237HV5+dwCWRQvgZGpzHF5xTjoRUSAFYE6dTD2TsdZQqWAqEVHQP7S7TUtcQ0NEgSoJ9KxGAsutvyQi7oXg1Yhz3xY7AbAAfIlz/h4ASwH8DWNswYjv+UsA84f+Wwdg+0Q+UBEF18FLFv18mQgppUgV4jgA573KAe6DmiziKx9rxZZHDmHlrv3Y8sghfOVjrQgF4Jx1SWDYumJh8dq3xDVsXbHQ0wcJWRRc2xSEWBAFhtuWl7b9tuXeXs+xqlSoFYS2a7KAbasWl1z3basWQ5O9iRnKKchUQHFMpjsv+4AfjxkmhAQH3cOJ1xIRBTtXt5U9Fz/UcQwhWai4gNQQUTA7HsLx/hxODNCuJoQQ/0tEFIQk93lMt6LNxoiC7e1tyBi26zhoO7xYCLX+3g68c5KKlcnU1pPWK76M3RhTEVUpfyW1pymVxvWxx+Pp8t0dT71WzI+/+eghHDo+SC+4kcBy6y+NMdV9rbEKcxK+vUtwzo9zzg8O/f8ggJcBzB7xbdcBuIfn7QdQzxg7e7yfKYkMO9pLH8R3tLdBcivBJ8SnGiMqdo6I453tbWiMqB63bHRNUdW1DzZF/d92AK7HBAQBAxBWRGy57mLsXbcUW667GGFFhJcjn2k7+PZjh7H5mgXYu24pNl+zAN9+7HAgjrETBQE/efqNkrb/5Ok3IAi+veUWFSZchvfB7e1taIwoHrdsdLYD3PnkkZLrfueTR+BVyFBOQaYCimMy3amyex9Q5er3gcrHDPs/FyKEeI/u4cRrgsDQ2hTDTz9/OfZtuKL4XHzLR1oxM6JCkwXcccOishiNKCL+9TdvwOEca+85gGQAjlQnhExvgsDQGA2hMaaWzK0214VQr5XPpymKhPmJCBacHSu7V29btRj7DrxV3PGjsy+LrkGdxkIypeVMG71pvewl1p3tbagPi4go/p+XJlNPXFPRXBcqG9fj2tjXKjWlPN/dtmoxIoqIr1+7AJuvWYDbf3kYjx/qQlgRKfclgeXWX2Ih0XVOQq7CnIQ06X9iFTDG5gG4BMDvR/zWbADHhv26c+hrx8fzOY7DIYvA3Wsug8AAhwO2Y1MlJQkUSRLQ2hzDg+uvgGU7kEQBTVEVUgB2dpIkARcFtO2VtmAPQnFOpV2/vNwNTJHE/JnG93YUv9YS16BI/t8pKxFRcMtHWou7MbTENey+aQkSASgYUhQJrY0R7F23FJbDIQkMjREFiuL/dMG0HTx+qAuPH+oq+fo3rvWmD1JOQaYCimMy3dVrKtK6XdIHVImh/gwmt8ZLHHqzdXh+WekoDEIIGYnu4cQPJElASzwMTZFw9owQFs9diEREgSAwxMMqEhELt1+/CDOjCkSBQRIYvvP4q3j69SSuXtA8dJyT7fVfgxBCCUNwhAAAIABJREFURiVJAs6bGcUMTYFh2VAksTjeuQmFJIgigyozPLBuKQzLge1w7DvwFt7f2ozbf3kYwKnjP8+eEarlX4eQmhIZww9/9Sf8j49eWJK7KhJDWJIDsTZEph5BYJiXiCAWksc0rruJayoS0dJ8V5UE/Pi3r2Pnfx0tfl9LXEN/1qTclwSWW38xLadmcxK+X71kjEUBPATg/+OcD4z8bZcfKbtKjLF1yB9zh7lz51b8LD8u+BNSMNY4BvIDiywK4JxDFoUzugF7LahtVyTRdUEqCMU59ZqCdMRCRJVHLORNbnHOmcRwIqLgnjWX4c3eDMKKiIxh45yGcCAKhgSBobU5hp9vunLcibCXFEXC7AAUN41Uqz5IOQWZCiiOyVRwJnnFeAkCw+z6MJJpo+b3dE0RsXXFwuLOoac7CqNaHId78nefLmoRw2T6qtU9nOKYjEYQGBpj+SJhx+EYyBlI6zYshyMakhANScgYNt4dyIFzjhsunYMNV51fPNqjFnMqFMdkKqA49t7w8W4sZFlEvSyiLnQq575x6Tx889FDeO5Yf/F4o588/QYWz10I07TRmzFgOhy2w6HJImZG1SmVn1McTy+GYaE7bcB2OL72l+/B3mffxOJ5CSQiChoiCupCEmTZ/2srw1EMTy1jGdcty0F3SodhOxAFBk0RENfyY7NbAUhck/HJxXPw6Esn0BhV8cWr52NuIozj/Vl8dEGTL9YTKY7JeIzsL8lUzvX7qrGuwDj371tdjDEZwCMAfsk5/67L7+8E8BTn/P6hXx8GcBXnvOLOTkuWLOEHDhxw/T1dt9CbM2DZgM05RMYgiUBDSIGqBm/hl/jahJ5CThfHjsNxYjBbFsfNMc33Dz9BbrtlOTjam8ax3myxOGdOg4Z5DRHfv33gOBxHk2m8mRxWWJQIY14iMtp1H/c/yuliGMg/7LzancaGPR3FBb4d7W24sDESjF2GTBtdKb24O1JTVA3Mw5llOehK6TBtB3KAdldzHI63+zPQLV5StDe7Pny6OK7aWEw5BakhimMyFVQtjoPKMCz06yYMK7+YIQoMisRQr8o1yYUch+PwicGynSpbm2O+z8s9VLXcmJAzNc57OI3FpGoKz2t9GROb7jtY9pz/bkqH7XAIjEEYildgXPNBNYnjeV97dCIfMy5Hv/WJmn8m8QyNx9OUZTl45+Spo+se6jiGWz7SivMTYbzZn0XPoI67fvcG/uaDF6AhosLh+XnHhKYgFPLdMzrFMakol7PQkzVg2fln3YGsCVli0E0HPSljrGsT1UYxTE7Lshy8cmKwZA1r64qFaK4LnTZ+DcNCMmPCGHYqTH/GRH1YRl1IxAxtUgtZKY5JzZmmjXcGc1BEVjYn0RgJjWe98bRx7LsMqIAxxgD8CMDLboVOQ/4DwBcYYw8AuBzAydMVOo0mY1noSZnYOGxg2t7ehpAk0IIOCYxB3XCN47CSv0n6WZDbnjJM5EwHmx9+qWTSLmWYqJf83fb+rIG+jFHS9u99+n2oD8toiHjT9u60UUwSgfyRgBv2dGDvuqW+33XING0c7kqVFWq1NkV9X/BkWQ4OnxjE+mFt39nehtbmmO8LnizLRn/WKhs/mqO2JwVylFOQqYDimBDvZC0LJwaMsv6nxllN7ms9ab1Y6ATkc7G19xzAv21ahqYYHaNBiN/RPZz4TTJtQLd4sdAJOPWc/++blmEga5UtFDXGVFiaN89zhBDihUrHfx4/mUVnbxb3P/sm/sdHL4RhcXxm9/6Se/z8RMSPBU+ElMnlLBxJpkvy1G2rFkPiQGNMxVkzNNpVmARCV0ovW8O6dd+L2HLdxYiFZNddoUzTxpGeNNbfW5r3fvuxw+hO6di2ajH6MpYfiv0IGbeulA4RcJ2T0GQB9dLkziv6eeXySgCrAXyIMfb80H8fZ4xtYIxtGPqe/wPgdQB/ArAbwKaJfGDGcIoXHcgPTBv3dCBjOKP8JCH+kcrZrnGcyvn/rNcgtz2j267FORnd/23PmQ7+7oHnS9r+dw88j5zp3dhnORyNURU7V7dh77ql2Lm6DY1RFVYVznOdbJUKtbrThsctG113Wi8WOgH5tq/f04HutO5xy0bXnTZcxw+vrjvlFGQqoDgmxDsp3b3/pfTa9L+caZccDVtoQy3zQ8fh6B7U8XZfBt2DOpwA5IGE+AXdw4nfGJYNgcH13qJbjutC0bHeLHoC8BxNCCGTqXAMzOx4GI2x/O4elsMRVkQsb5sDSRDLCkc37ulAT9ZAz2CO8mbie8ls+RzupvsOQhTE/JpAbGodz0imLtN2XHPbsCLCsNzXBXvSRrHQqfD9t+57ERuuOr/YFxye36CAkKCyHA7GmOucRLoK85q+LfXmnP8Wo2xLxfNn8P3NZH2m5XDXgSkIi+uEFAQ5joPcdnOoOGfzNQtQr8noz5rY8dRrMIPQ9gpJmWV7NxEekgR85WOtuHXfiyUV7iGf7y4EVL6epofXc6wMq0LbLf+33W/jh9/aQ8h4UBwT4h2v+5/IGFriWkkbWuIaxBrNOdMxeoRMjNdjCCEjKZIIw3Zc7y2V4jWsiNBtDsfhNPYTQqY1SWDIGHZ+t5sKhaOG5SBr2Fhz9x+we/UStJ5FeTPxH9O0K973BQYq1COBIouCa27Lkc993RgV1o7qNbn4//0ZA7ppo06VfX/aBiFuZFGovO5chXGeeskwkpCf0B2uJa5BoqSQBEiQ4zjIbVeHinO2PHIIK3ftx5ZHDuErH2uFGoBkRKxw3b19IGbFQifgVIX7BI8YrolK11MMQBz7MxbGRq7Qdtmjtgd5PCOkgOKYEO943f9CioCtKxYW21AsPFdqk9tWOkavJwC7TRLiB16PIYSMFNdk2A7HD2+8BHfdfCn2rluKu26+FD9de3nFeM0YNo72pGnsJ4RMe01RFS0NGhoiChwO1zHTdjhEgeXz5nsP4PjJLI73Z2EF4AVGMj3kchbeGchVnH92OKAEYC2FkIKmqIqd7W346IIm7Fzdhn0brsA9f30ZZtWHUO9yrKhp2hXjvz9rFv8/mTawfk8H3jmZpQJAEjiOw2E7Tk3nJOjOMYymCNjR3lYyobujvQ1ajSZ0CZkM0ZCA7SPieHt7G6Ih/8fxzLCCu9ZcWjLxddeaSzEzrHjdtFFxDtfiHB6AXEQWWNmE4w9vvMSzIhEAMGz3o1MM2//HAmqy++KgJvu/Dyqie9sV0f9tV2XBNY5Vj6475RRkKqA4JsQ7muKe09eq/wkMmFUfwt1rLsOTX/oA7l6Tn7CrVXqYMyodo+f/XJAQP6B7OPGbvqyJbz/2CnKmg80Pv4SVu/bj/mffxMmMCVkSsH3V4pJ43bZqMc5viuD7Txyp6RGqhBDiR7IsYl48jBmaBEVi2DZizNy+ajH2HXgL9tCieGdfFjbneOXdQRzrz+Cd/ixMyqOJh3I5Cz1ZA7bDIQms7Fl326rFUCSGmRHV45YSMnaSJGBWXMUXPjQfWx45hBU7nsFNP34Wb/dl0ZMuPVLUNG280pWCwznuuGFRWfzPmhHCXTdfijtvvAQ7nnoNnX1ZdA3qSNKRziRg+rI6OvuyNZ2T8O0xdl6p0yTcveay/JaJHFAkeuuNnJ7jcCTTBgzLhiKJ+e1kPSwSSeUcHO0ewAPrlhbf6HjuzSQawgnM0Eb/eS+d1C1kDRubH36peFzFtlWLcVK30KT6e7iqeHSZ4/9JuZAiQBSEkuu+o72tZm/uuxEqHJ0iMP+PyfGwinkzHdy/dilsziEyBknMf93vGsIKcnGt7D7YEICCQ9PmZfEhMAbL9q7ikHIKMh5+yysSURn3r10Kh+f7WIVdmAmZsrzqkzFFRiLqlPQ/Ucx/vRYMk0O3HLzdl0NYEZExbMyOh2CYtbmvCkJwc0FSzm/3tumCclHiJ4ZlY3nbHHzpZy8Ux/blbXOw8b6DWNnWghWXtuCna5fCtBwIDOhJGbAdB1/9y4vAOUf3oE5jByFkWpNlEQlZRJ1pI6qKxbl/y+F48Nk38YlFs7H7N68DAD66oAkDWQv3P/smbrpiHs6aoeFdR4cqMtSpMkIuO44QUi25nIXenAHTduBwjqPJDGbVh3Df5y8HR/4IdVVimEFHdpEAyugONt13sGwThHs/dxmSaQONsfyaUFdKx8Y9HVh2XgJr338ubr9+EZrrVMiigLRuQWAMTXUqwoqI+U1RdKfyhU5nzwh5+dcj09BE52+yhoNb972Ih7+wrGZzEpTVDGPZwImTOdzy4AvFBf87bliEUCLiddOITzkOx+ETg8UjFlriGnbftAStzd6diS2LDOfMjOHTu/aXFAzJov8nhCzHwZ1PHsHmaxagXpPRnzVx55NH8E9/9V6vmzYqSXRfkAnCMQG6yfH9J14tue7ff+JV/PMn/wzwqECOMeC25Qvx1YdeLMbxbcsXIgjrW5ZloydlYuOejmLbt7e3IaEpUBR/33Y55xjIWtgwrO072ttwdsz/W5QxADmztFjyjhsWedYeyinIePgtr+Ac6Bk0sHHoob3wxuisenrQJtOD43AcfncQa+8d1idXL0HrWdXvk7IsojGsoiulw+H5nZYawypkuTYVh4wxJFNGyX1164qFqNdqUwAtDe082ps2i8VWDRE5ELk1KeVlP5rOKBclflOYKB8+Z1KvyVh2XgJ/dclsMDCcOJkpxuxHFzThbz80H1/+2Qu+yIsJIcQvZFlEgywiptjoSuWP+Wy/4lzseeYNPNjRiZa4hq/95XvwrV+8jM/9+XnFItNCPt8YU1FnyKhTJCp6IlWXy1noHMiie1AvnopRyEtbGsLIGjYkiaE+JPt+3pyQkZyhzSbu/evLYHOOd0/m8J3HX8Vzx/phOxyGdWpHPcvh6OzL4sGOTgDA3334AvRnLKzf82zJ+tf3/vNV/O3VF+LGpXOx7Vd/wuK5C73665EpyjTz+YM1tNNeU/TUXONkrE3YQ7Fu13BOgu4ew5i2gz++3Y+fDnt79slDxzGr3ufb4RDPJNNGsdMD+ardtfccwM83XVms2K010+Z49IW3cdfNl0IUGGyHY9+Bt3DTsnM9ac+Z+uyyc8sLXLxu1BiIjOGOGxaVDdxiAKpzLMdxve62h7tScQ70prJlO5TNS4Q9a9NYdacN/GBE8dgPnngV37j2vZjt84e2rpSO//18Z9n4EV92LmbH/X3tLYcX+x+QH49vefAF7F231JP2UE5BxsNveUXOdPBIgHMKQgpyOQvJrFF8kE9oypgm9ntSerFAAxjqk/cewL9tXIamuuoX/cmy6Nn917Ad1yOaH6jRfVUWGSKqhN60WfxaRJUC8QIHKeV1P5qo8Y4fXjNtB7v/6/WSZ5Ld//U6vnGt/18kIlNTIqIgY1glL4mFZAHtV5yDrgEdcxs0NNWFsOdzlwPIvwD1zUcP+SYvJoQQvyk8K3QN5HD8ZBZLz2/Eh95zFjKGDcZQtpteZ18Wd/3uDXz92vcia9owbAeKYVHRE6maXM7CSd1ESBLRGAvhW//vnxULQW558AXcv3YpRIEhFhKp0IkEjuNwHE2mcWIgh1v3vYjGqIovXj0f31059PI151AkEbpuIZnNz2v89qsfLL7ApVsO1u/pQGNULT6zZQwba648Fxv3dODOz1yCWz7SikTE/ydukOAoHKf4gydexfK2OUhEFFgOR3NERSgkla1NNEZVvHsyv+P7WOdDFFFAS1yr6ZwE3UGGCckClpw7EzfuPrUjzo72NoRk2jqRuDMs2/XosuEVu7UmiwzXLJqNNXf/oWQXhiAsDHCOYsENkL+WX33oRc+KFc6EwzliI7bksxwbDvy/I44fr3tCUzCvsa5kh7LC7kh+JzBg0wcvQN/Q4pwiCtj0wQsQhJdPZYnhEyPGj22rFkMOwJEXhbcjhuvsy8J2vOmDlFOQ8fBbXiGLFcaEAOQUtWAYFrrTpxbAGyP+38FvOsrlLBxJpst2XJyfiIz6gJ4z7ZKJp/6siR1PvYach7l+rdge31cdDnQP6mU7S83QanOMH5k8Qe5HExk/vMaY+4tEQXgmIVOTIDDMqgthR3tbcSfhWEjGt37xMm79i1Z09mfxdw88X/Ly2KYPXoDuQQPPHesH4P18GyGE+FFDWMFAzkRv2oQiCWiMqTgxoJftpnfJnHp87s/PK51rXbUYVlRBA+D73IYESy5noSujoz9jFo/4aolr+M71i/CtX7yC5471w+EcdZqImOr/+X5CRkqmDbyZzGDzwy+hMariy3/Rip88/UaxgKQxpiImizjSky45RWPrioUIKyJmaErx54Y/s21ftRiNURUNEQXRkEQ7mpJJ1ZXS8YMnXsVnl51bjNeCZpSuTVwyp748PscwH9IYVbGjva2mcxK04jaMbjrFQQfIP0Rv2NMB3fRudxPib4okoiVeuktHS1yDItXmeAk3ls2Lx80A+TjeeN9BWLb/i268XlSZCIEx9KVN3HzXs/jQd36Nm+96Fn1pE0IA9qXy43VPZo3iokKhPRv3dCCZNTxr01gJjCFr5I9TW7lrPzY//BKyhg0hALt8mRYvO2N6030HYVr+74OiwFzHY68eCCinIOPht7zCtCuMCQHIKarNMCwc7k5j5a79+MDWp7By134c7k7DMCyvm0ZGmEhOoUoCvvKxVmx55BBW7tqPLY8cwlc+1gpVnPqP0XKF+6pco/uqbrnvLKVbdB8NmiD3oyA/k1R6oSUAj9ZkCpNlERc1x/Dg+ivwm1uvgigwLG+bg2TaLBY6Aad26c2ZDjZcdX7x572ebyOEED+SJAHzGiJoPSuGRERBRBFx3swwGmNqST6/4arzy3Z62njfQRx+N4XXkmkkUzkkUzk4lCyQSXBSN2G5zCl96WcvYMNV56MlrkGVBMwIqVTMQQLJsGyEFTE/53/V+fjJ02/gs8vOxZZHDmHFjmew6l9/jxNpvWx94NZ9L6I3bcJyOL549fyyZ7aN9x3EF6+eD0HIrzERMpksh2N52xzXeP1TMg15aFcmIJ83lMXn0HyIdZq5OUkScFFzrKZzEv6fXaohs8KCv0kJHqkgEVGw+6Ylxc5fOL/Sy60FgxzHgs+KFc6E6XDXBRm67uPjt116zkSQY6HSdbcC0HZJYNi6YmHJeLx1xcLi1rC1FuSxmHjHb3lFkMeEautOuy+Ad6f9vwA+3Uwkjq0K9/Ra9QHDsPB2XwZvJtN4uy9T02K6Bk3Bjva2kvFoR3sbGmq0y6bXxfiOw9E9qOPtvgy6B3Va9JkAr/vRRAT5Puh1HyKkEkkSMKtew9xEBJLAsLClDmfPCLnG68yoUsyDW+Iadq5uQ5x2+COEkDLDx9bmGRqa6jScFVWxc/WpfH7kTk9AfqwNKyLWD72clzMdHOvLoLMvg66BHEyTFtrJmdF1C+/0ZWA6HL1pwzXmEhEFu1a3YWaECp1IcCmSiIxhoyWuoV6Tse795YUh3YN6xXE3a1iYNzPs+vvzZoYhCwyaQkX+ZHJJAkMiomB525yyeN2wpwOG7eC+z1+Ojy5oQr0mV5wPOTF4+uJoSRJqOidBe1MOU9gVYvjFb4lrEOmGS05DlQRsue5ihJX8zU2VvK0hDHIcy0PFCoXJ8EKxQq3eIJ+ISgN3EBZG/Hjd5Qpx7FXhyplwHO56VIfD/R8LUoCvOwCEFbFkPA57+EAQ5LGYeMtPeUXhbY6RcSwHYDeOarMqjPVBWACfbiZyb/Oy+NowLLzVn8Wx3mxxPMg2aJhbr9XkuETG8keyDh+PQrKAWm1U6eX44zgch08MYu09B4q58e6blqC1OUaT8eNgc8qNvRDktpPpI6EpOJJMI6qKFZ+dzpoRwr4NVyCZNvC9/3wVt3yklcZjQggZA1WV0NoUw74NV8CwnIrzVP1ZE519WeQsBzf9+Fk0RlV88er5mJsIQ7cc1GkCQoIEVaWlRHJ6uZyFE2kd3YP5YxRzpu0ac2fPCKExokDyeB2NkIlIRBSckwhj64qFmJfQkDGdkuO/Nlx1PhIRxbUPZAwbGcNGvMLvv92Xxdf+7b+x+6YlqNcUynvJpGmKqsW5a7f5zr60gZ6Ugb//+HugVJiXe+XdQWx55NCo82S1nJOgu8kwIUlwfXs1RDddUkEybeBbv3gZhp3fss2wHXzrFy8j6eFb/UGO45DMMDOmYst1F2PvuqXYct3FmBlTEZL9fzNXpVPb+xXkt1j3/3XXFPfrrineXXehwi49QUjsVEnAd1cuxIKz69A8I4QFZ9fhuysXBuKojoSmYPuI8WN7exsSNdrFYSIqHRPo1fGBQR6LiXf8lldIDO47pvl/KK46TRZdx3pNpreu/KZOE1zvbXXa6ONxpaPcalEs0J+z0Jc2So7F7Usb6M/VZnennoyBbz/2Ssl49O3HXkFPpjbjkSQw/PDGS3DXzZdi77qluOvmS/HDGy+pybXvSeu44/8exuZrFmDvuqXYfM0C3PF/D6MnrVf9s6ciVXTPjZUA5MYTGT+85vXubISMReGoyIGs6RqvEUXE8f4cvvnoy1h/bwceP9SFtfcc8HTOzUvzvvbouP4jhExfkiTgrBkaZs3QUK+Vz1Pdtnwhdjz1GlriGt5MZtAYVfHdlQtxQVO0+LJexnDQmzVw4iQdcUcqy+Us9GQNcA4014WQMWw0xhR85/pFJTG3c2ieuRYv8BBSTYLAMC8RwYVnRWE5wNGeDFriGi6ZU49v/NUCtNRrCCli2bi7dcVCNERktMRD+M8/Hi/Zga8lruGHNy7Gfzz/Djr7stM67yXVIcsimiNq2VG3APDRBU1QJAFNMRWSkJ/z2Fkhb2iMqnj3ZA6d/ZV3Q6/lnATdUYYRBEAd8faqKgsQ/D+PRTziOA4+9+fnFc+7bolr+M71i+A4lc+rrLYgx7FpA2FFwAVNUTicQ2AMgsARhB1zJYFhR3tb8QzewsAdhDdnswaHJKDkuluOjazBUaeN/vPVYFgOfn7wbdx186UQBQbb4dj9m9fxhQ9d4E2DzoAsMaRSDjbu+UMxFra3t2GG5v9YCIUkzE9EsHfdUlgOz29rqSkIhfyfLjSEFQzkTPSmzeLXIqqEhrA3CzpBHouJd/yWV2QtB99+7HDJbhzffuww/uXT7/OkPX4ii0BKLx/r6z26b5LKNElBSxwl97awKkCTRr8/MAZ85/pFZX2yFnW0pu3glgdfKNlS+pYHX8DedUur/+HI/90/u+zc4rbWhUmNWtUQW07+GI3ND79Ucu3tGoyHtuO4/t3p+K/xCXJuPJHxw2uhkIQLAprXk+mjsINiXUiCxVH27JSzHNzy4PPYvmoxUrqFbz92GM8d64dhBWCSiBBCfESSBAiCinMTwM/WX4Gc5eBoTxq3//IwulM6tq9ajK8//Ed8a/nFrs+5igh87icd2NnehrPrQ7TTCCmRy1k4kkxj47B1kW2rFkMCQ1SVsPmaBUhEFDTGVDRHVMpHyZQhCAyJSAhv5tL4/hNHcNvy/Es9mixAtziu3/EMGqP5TQbmzYxAlRgExmDaDvY8cxSfXDwHF8yM4KefvxxdgzqSaQM//NUR/M0H52P1FefgnZM5T9eaydQUCkloBsrWszdfswAZw4LNOT6zez86+7L46IIm3Pf5y8EY8PLxQdz+y8MAgC//RWvJnNnO1W1obYqV7NhXyzkJuqsMkzUcrLnrD2Vbau1dtxSIeNgw4lsOR3HxA8gvQnzpZy/gZ+uv8KxNQY5j3XKwctfv3dvucznLwfefeLVkQfj7T7yKr1/7Xq+bNirT4Vj9o/KYecDD6x6SRXxq8WysufvUw/XWFQsRCsCOGVnDKT7cAflxYeOejkD0QSCfhMwO4EOnJAmY1xBBWJFg2Q4kUUBTVPVsS+Qgj8XEO37LKySBoTulY/29HcWv0RE4eZnTjPVx6uO+IkkCYlCQNXQwcDDGEFPGtmW+IAj40W9fL8nvfvTb17Hlk39W9XZ7eYQeAHCO4sRF4bO/+tCLNcvLeYXxsBaf7zje/t2nmiDnxhMZP/wgqHk9mT4KRxvIkojVu/a7zkl09mWx8b6D2HLdxfjyX7TiJ0+/AUXy/7wAIYT4jSAwREIhaApH2jCgiFH8y6ffB0lgeKc/h+6Ujogq43PDxuNC3lYYj9fv6cCW6y7GWTNCdKQoAZAvdCrs1Dg8bjbddxB3r7kMYUVAa0iCTIX3ZAorzJ/e/svD+P5nLoFuOdh037Po7Muisy+LNXf/obguIIsMtsPw+fdfgEREQTJt4MZ/LV0TPXR8EJuvWYAtjxzCztVtaIyFaLwlkyoUkjB/Zr4QyXY4XutOw3YAURCLsQsAjx/qwqHjg/kTgR45hM6+LHaubiubM1t/bwd++vnL0RIPl8RqreYkgjFDUyOVJpQteoOTVGA6jmvMmB5W2wY5joPcdtvhePxQF9bf24GVu/YXt1gPwva+doXr7mXbLdvBrftKb5i37nsRlu3/SvYgx3HQSZKAWfUa5iYimFWveboQRXFAxsNveYUsMmxbtbhku9ltqxZDFukBm/p4sIz3/tAYVXHLhy/ElkcOYeWu/djyyCHc8uEL0RhVq9xiQKxwhF6tJrhsXiE/5LWJ8Ur5aS2KvSp+do3+7lNN0MdLP+WXhEw1hWPURxvzO/uyCCsivvrQi/jHT+R3hyCEEDI+gsAQC6mYHQ9jVl0IUVVAPCLjjhsWjXk8pqOVSEEya8CsEDcCAxzOwRio0IlMaYWctjulQ7dsCAwVn4FzloPZ8TAaYyoEgcGwbNfvrdfkYhEJjbekGlRVwtkzNCQiIhpjKiyHV4xdw3aKR9oVYnPk9xR2J/OCb2dpGGM/Zox1McZeqvD7VzHGTjLGnh/67+sT/UypwoQyvb1OKhGZe8yItTrfwUWQ4zjIbZfFCm0PwIKwH9te6SHJDMCiSJDjmEweigMyHn7LK0yb49EX8keKPvmlD+Cumy/Foy+8DdP2/1hcbdTHpwdBYGg9qw4/33QlfvfVD+KdSff9AAAgAElEQVTnm65E61l1NSk4kgSGrSsWlhQbbl2xsGYxVmk8Emo0HlUq9hJr8Pev+NkePuMFGY2XhJBKCseoVxonCveclriG/qyJzr4sRIHRm+2EEDJJZFnEjHAILXUazjnD8ZiOFCUAhhbH3ePG4YAiCmgO09F1ZGor5LR71y2FJotwOFz7BGOs7KUfRRJdv7c/awIAjbekqgq7Pl6QiCAsCxVj17I54hEZP990JVrimuv3JNOGZ7Hq22InAHcD+Ngo3/NfnPP3Df33vyb6gRFVwPahyjQAxTOJI6qfLxPxkqaIrosQmuLdltpBjuOQLGD7iB0ktq9ajJDs/7ZLgoDvffp9JW3/3qffB0mgto+vTcFdFClU8o/sgwmN3j6dToI8FhPv+C2v0BQRV13UjDV3/wEf+s6vsebuP+Cqi5o9zXP8gvr49CEIDI0xteTNu1qQRIawImLLdRfnt4u+7mKEFbFmxeiSwHDHDYtKYvyOGxbVLBcLSYLrznKhGuyq47exOOiiFcbLKI2XhBDkF4cqjRP/frATLXENty1fiB1PvYaWuEZH2BFCSBWEQhKahnZ5ovGYnAlJYHjy0PGyuNm2ajEUiSEekqnQiUwLoZCE2fEwEpoCVSrfKX97exuePHS8bE4lEVGw+6YlJd9bGGsLv6bxllRbKCShQVOguMXuqsXYd+AtcA40xlScPUPDztVtZTH7UMcxz2LVt3cZzvlvGGPzavmZIUFCcx3HA0NnFIoCgyIxhATfXibisXpNQXNdqLj4kDFsNNeFUO9hUUNYco/jsOT/OJ4RUpAO27h7zWVD25wCisQwI+T/IpGGsIKBnFkSCzM0GQ1havt4FAqGCud9B6lgaHglv+VwSHQm+bREOQUZD7/lFX5rj59QHyfV1hBWMZAx0Zs2i1+LqRIawtU/Qg8A4pqMgYhS0v/rIwrimlyTz4+pEurDctlzQUytfh+jsW9yqRXGS5XGS0LIELdxIqwIuPZ9s3FxSz1u/+VhdKd07L5pCR1hRwghVRQSy8djTRFwDY3HpIKEpqDt3JnoeKMH969dCofn58JDsoCIJNF8OJl2QiEJZ0sCIqpYXB8SGMMTh46j7dyZZetbgsDQ2hzDzzddCcOyYTsc//zoITx3rB8tcY3GW1IzoZCEJgCafCp2Hc7xwO/fxLXva8HMofViQWBobYrhp5+/vHh03U+efgO3fKTVs1gN+p3mCsbYCwDeAfBlzvkfJ/KHFW68SSt/piADUCdT5TGpTBAY5iUiiIVkGJYNRRKRiCiebqmtKBLqnPI4VhT/x7EkCWgKq0hmDVgOhzpUJCLV4A3uiZIkAS11GjRZLClwobaPDxUMeSeXs4p9MGjX3U9tp5yCjIff8gpBYJgVC0GVhJJ+RUeHUB+fTry6twgCw6w6DeqI/KxW/U9RJMyp0xAe8fm1eqZQFAlNYZQ9F9Ti8wWBoWVG6djX6PEzXpAFfbz0U35JyFRV6FO2bKE/68ByOLKGg8aoCE2uw503XuJ5XkwIIdOBqkqYgXzeZgOIawL6sw4EBlzYHMXdf92GnIGa7nhLvDUyF1YlAVH5VBFTYQ6/ISwXvyckC4gpUiDWowipBkkS0CCFkBNP9Z+PvPfskmfJkX0rGhKgSAIkBvzzJ/8M37jWofyX1FwoJEEQgH5ugcMBHOCzy85FIqxAHfbyoSQJaImHoSkSzp4RwuK5C5GIKDAMGynTgm45NZ1DCfLd5iCAczjnKcbYxwH8O4D5bt/IGFsHYB0AzJ07t+IfmMtZOJJMl+0kMj8RocksUlHhaItqmw5xTG33Rq3aPtYYLrTp2EAWnb3Z4hv1LQ0a5kCj61lF1PbRTYexmHirFnkFxfHkCIUkzKbr4JkzySvGK5ez8KdkGhuG9YEd7W24oAZ9wOv+N50/3zRtHO4u/+yLmqKQ5cnbkrsWMewXQR0vve4HQTCd4phUj2U5sGHh9aRe1t/OS6gQUd0JcopjMhVQHJPJoqoSZqlSxTzovIQKw7CrMi5THPuLawysWoy6sIxmoKTgKYi5fjVQDJPhKvWNSuPr2XUqHBFQZaAhHPJsMwKK4+lNUSQ0jaFYdeQaRi5n4URGx0DGxMb7DtZ0DsX/W45UwDkf4Jynhv7//wCQGWMzK3zvLs75Es75ksbGxop/ZjJrFAcXAOjsy2Ljng4ks0YV/gaEnJnpEMfUdm/Uqu1jjWEAOKmb6BnUsfnhl7By135sfvgl9AzqOKmbp/05P6BY8Ibf4jjI15JMfRTHZCo4k7xivHqzRrHQCcj3gQ17OtBbgz7gdf+bzp/fldJdP7srpU/q59QihsnEeN0PgoDimEyGrpSO/qzj2t/6s07V+xzFMZkKKI7JZKuUB1VzXKY49g/Lctxj4L6DsG1O+XAFFMNkLCqPrxbe6dORM/ikzz+cCYpjMh7JrAHb5sVCJ6B2cyiBLbdljJ0F4ATnnDPGLkO+cCs5kT/TcnjxH6Cgsy8Ly+ET+WPJFOc4HMm04YvjZoBgxzG13Rt+bLvpcNy678WSm+Kt+17EA+uWetamsbIcjsaois3XLEC9JqM/a2LHU69RLFSZ3657kK8l8Zaf8gqKYzJVWJaDrpQO03YgiwKaouqY3pAzK/QBswZ9wOv+N50/3285RYFhWOhOn9rmvjFSu2MFpyuv+8FEmaaNrpRejJmmqDqpu5MRMnn4qP2te1D3fL6NEEKCoPDsY9kORIFBEhgEQTjjMTToeRA5M7mchd6sAdPhEAUGRRQqxoAgMIoDQs6A43D0Zw3kDLs4n+Tatxiwfk8H9q5bWuxjfponJqQS07RhORwCYxVzh3f6s2iMKFWZk/DtzBhj7H4AVwGYyRjrBPANADIAcM53AFgBYCNjzAKQBfBpzvmE7rCSwNAS10r+IVriGiQaOEgFjsNx+MQg1t5zoLgl2+6blqC1OebZDSfIcUxt94Yf225XeJhyAvAgFZIEfOVjrcVirZa4hq0rFiLk0bajZ8KPsTBWfrvuQb6WxDt+yysojslUYFkOutM52A7Akc8xutM5NEZG3xJcrNAHxBr0Aa/733T+fE0WXXMKzcMiEcOw8FZ/FseGHfGcbdAwt14LRMFTUAu1vO4HE2GaNl7pSlX9OEZCJkrXLQiMQRJQ8Z77tz99Dt0p3fP5NkII8TvLcvDKiUFs2NOBlW0t+OTiFuQsBwLjODGYRXNMG9MYapp2xWehIORBZOwsy0FvxoBuOdAtB++ezOKeZ45izZXnYm5D2P3ezBgoDAgZG9O00ZM2wMHhDH2t0nNmYU3MsDnCsgDLcnCkO+WbeWJC3Jimjb6cUcwP3GJbYAw37HwGO9rb0FqFOQnfrrxyzj/DOT+bcy5zzls45z/inO8YKnQC5/xOzvl7OeeLOOdLOedPT/Qzo6qA7e1taIlrAFCcDIqqvr1MxGPJtFG80QD5Yoy19xxAMu3dNp6RCnEcCUAcJzTFte0JTfG4ZaNTJQHbVi0uafu2VYuhBqDApV4TXa97vebdJLgqCcX2FLTENSgBuJ4Ac92VCvB/AlqvuY8f9Zr/rzsHXK+7V+VxlFOQ8fBbXhHknKIWDMPC230ZvJlM4+2+DAzD8rpJxMWgbqAnZeIzu/fjqq1P4TO796MnZWJQH71faRXyO60G+UhdhXtyXY3uyV7n5V5+vlVhh1Ev317uz1noHnHEc/egjv6c/8cdw7DwancaK3ftxwe2PoWVu/bj1e50IMZMTakwBij+vw/W6jhGQibCNG28dTKLN3rSuOfpN1z728mMiQ1Xne95XkwIIUHQndKLhU5XvacZn9mdz79OPQONLQ/oSuk4mTGx3WVctjmnua2AsywHyVQOXSezONqbxmvdKXxm9358+Lu/xtf+7b/xuT8/D3f97g0IAiqsd7BArNcQ4jXLcvBqdwrf+I+X8EZPBp8eeia+5+k3yuY7tq1ajN2/eR0tcQ1He9KwnPxRdn6aJybETcY0cWLAwMpd+/G9/zziet/oTevo7MtiQ5XmJPz/Kl0NpXQHjzzfibtuvhSiwGA7HPsOvIWblp2LGWGvW0f8yLBs191nDMv2qEVA+jRxXO/zOO7LmehLZYvbNEoCw2tdA+iLKDg75O/hygFHnSbh7jWXQWCAwwFJzH/d705mbRztHsAD65bCHtqq9rk3k0iEZURC3rTJ4Rx33ngJvvDT54pV63feeAmciW3gVxOm7VQ48sap8BP+0Z+tPH54FQtjpVvu192wvLnulFOQ8fBbXhHknKLaDMPC4e502Y4ZrY2RQOxWMp1kDMd1wX/vuqWIR07/sznLwZ1PHik5zuzOJ4/gG9e+t/rt1jla4mpJXhxWBWR0jlgN7smhkIT5iUjJ5yc0BaEa5eRefn7FXM72LpczbCewRzz3ZExsGNEHN+zpwIPrr8Asn4+XMUVGPGyXPOOpEkNMkb1u2qjo6BkSBN0pHZ29WWx++CV09mXRl7GKeacsCkgbJv7+oZfwtb+8CID3822EEOJ3xlAe+8nFLfjM7v2uz0AztFH+EOTziH/895ewrf2SYh5kOxy7f/M6nn49mf9zpvmcQFAZhoV3h4rZelL5gonCfRjIx8qXfvYCNl+zAD2DBurDckkurEgMdYpcs+dCQoKsO61j/b0d2HzNAnz1oVPP8zv/6ygAFOc7TJtj169fw9OvJ3Hb8oW4/ZeH8b8+eTHqQpKv5okJcZPST827PtjRCQC4e81lkEUG0+awHBt//9AfAVRvToLuSMNYDkdfpvTtwr6MRZNBpCJFEl23ZFMk73bECXIcc3DUhVW8eiJVPJ4hHlHBA1AwZFoc9+9/EyuWzAUYA+cc9+/PLwj7nelw/Ph3b2GDLBcX8n78u7ewcE6DZ21yOLDtV38qWVzc9qs/4es1WFycKMbct2r0/75OwR4/Km2v7dWWrkG+lsQ7fssrKI4r604bFQtoZvt88X66mciCv+VwPH6oC48f6ir5+j9+YsGkttGNIAj472N9OL+prvi1/z7Wj/fMilf9s0+14fS/rrZQSMJsDybR/Xh0WaUjnu0AjMem7WDZeQmsff95xcLZ3b953dPisbGSZRFnxULoSumwHA5VYGiKqoE4Bs6PcUzISKbDEVbEsjFix1OvYd0HzsPfP/QSulM6+rMmAO/n2wghxO8Kc2MOn1jRsyQwdKd0vHtSx6e2PY0b2lqw9v3nYcNV52Pt+8+DLDFYljPqseDEe7puoSdz6jhpWWQQGMMPnjyCz/35eQDgGiuJiIKelIGmmAqBcTgOR0gWMTOq0vFZhIyRMfRydr0mF/tZYTwVBQYOQJMFvN49iOVtLbh6QTNu/+VhdKd09AzqSEQUX80TE+LGbd6Vcw6AQZUE/OLgO3juWD+A6s1J0Ez8MBFFRPsV52DN3X8ovqG9bdViRBQaOIi7RETB7puWlJ2Zmoh4t41nkONYZAxZwy6+TdAS17B1xUKIzP8JtCAA1yyajc6+bLFQ65pFs2u+KDQeqiTgn/5qAXrT+QlERcz/2ssj+DRZwJorzy2+wV6IBU32/wVlDLht+cJitX5LXMNtyxciAGEc6PFDkwVsX7UYG+87eGqXlVWLPYuZIF9L4h2/5RUUx5VZDnddvKdCMP+ZyIK/LFb4WbH6N/U6RURDVMPKXfuL/W9HexvqatT//LB7mWFY6E6fmphvjCg1+eymqIrt7W1lf/emqFr1z65ErhDHcgAWGoJ+L5FlEbPjwdu6wI9xTMhIksAQVSXXMSKtW+hO6di6YiG+/dhhz/NiQggJAk0RsHXFwgkXPTdFVexsb0PXoI71/888fGLR7JJxent7G8IyQ1Ty+Tbw05RlOejNGGAMeHdAL8kHt61ajEdfeBufXXYuTNuBaXPXWGmIKKgPy2iMhai4iZBxKhSg9mdNtMQ1LDsvUZb3bm9vw/lNEdy4+/cl62DNdSE0RVVfzRMT4mZ4znFDW4vrs92xviyefj2JHVWak2A8AEcCTaYlS5bwAwcOuP7e232Z4mRyQUtcy7+hHcDJLVIbjsORTBswLBuKJCIRUcaSAE4oQ5yqcdzZlz+3dmTbH1i3FC0+b3tyMIe0acOweMm2rhFZRKIWZ41MQNdADm8m07jlwReKN6A7bliEcxIRNNWdtu3jjuPTxTCQ71cnBrOwbMDmHCJjkESgOebdTj1j9XZfBgNZHXWaWlycK/za730wyONH10AO3YM5dA0axYLDppiCxljodHFMYzHxnXHkFRTHHkgO5nB8QC8ezVQoRDm7TvX9fd+nqhbHvekc3u7Xyxb8Z9eraBjljNaewRyOn8yVFdKePSOEmVX+d36nP4sbdj5T1v8eXH8FZtWP4eyJCfK6/xuGhWTWKMsFE1r1C54ch+NkTkdGd0qOEJwRGvUt5qrlxr3pHHrTJo71nnqxYk6DhoaIPGoce83rWJrOTNMu7koljW1XqqqNxYS46RnMIWc5rvNAe9ctHTo6UoBpO76Ybxtu3tcencjH1NTRb33C6yaQM0fjMRkXx+E42pNGfUQa9zNQQSqXw0DWgQNUHKdHyeUojmvENG3kbBODOQ7TdiAKDJLAkDMdtP/o92X/dnfdfCnW3P2H/IvFioisYZe8cLyzvQ2NMQVxTQnEjqZVRDFMJqRrIIcTAzn84Mkj+Oyyc9FcF8LNdz3rOp5aDocoMCiiAFUCNEmCokjjXX8ejuKYVFUuZ+FIMv+yZOH+4hbjiiTAtByYQ/MTCU05kyNRTxvHtLPTMEHeGp54RxAYGmP+eTsyyHHMOUdjVC05umzHU68hEEWZDDiZMcsWwyL1/n8gMG2nWOgE5OPllgdfwN51S71rk2kjrdtlCzpmyIaq+vvWldAU9GbMkp0Ytre3IaH5v+I+yOOHaTtYv+egayLlhSBfS+ItP+UVFMeVGTYvFjoB+euyYU8Hfrb+Co9bRkYKixISUQf3r10Kh3MIjEEU818fTc5y8IMnj5Tkpj948khNjtU1bce1/9Xq6C+7wtEXTo3y8oxlIZkyywoKNVmoerHToK6js698cUhoAGZo3hQWhUUJxy29ZAfcnavbxhTHXpvIUZJkYoK6KxWZPmKKhLShu44Rhs1xLDmI+c0zKI4JIWSMBIFh3swIUrqORFQe1zMQkF+4PJrMv9zznesXUS7nQ47DMagb0I18QVpPyih5dtq6YiFm1Wuu/3aiwNDZl4UsCvif/3EI//Dx9+CBdUvhFIotJAFxTaFjCgmZoIawgpxl4x8+vgCikN8gwa1PHj+Zw4odzxSLDZvqVFjcQpQDqir5Zp6YEDehkIT5iUixaK9SztA7YqfBne1tOD8ROZOCp4r8PzNWQ2KF7T1Fn+8iQshwQY5jVRTwreUXQxRECAxIRFV8a/nFUEX/J9Y50ykWOgH5AXzjfQc9LRgaK5tzrGxrwXWLW4oPwA8f7ITtYZHZSd1C96BedqRhXUhGk8+LnZJZAz944tXShdEnXsU3rn0vZk/Cjbuagjx++C2Og3wtCSmgOK7MsB188YPnY9n8RthDE4JPH+muWSEKGbtQSEID8vdnhwMCAxrUsb09ZDsc3YNGyde6Bw04NZjYV0TBtf8pNZpwFpl7/xdqdC5vRndcCwofXLcU9VVe807lnOIETOGzN+7pwN51SzGj+ptquerNmVh/b2mb1t/bkd/py+f55USPUSGETF2qKkHKGK5jxNGeNC5oqgNAi+mEEHImBIGhTgtBYda4noFyOQu9uVMvHRSOX6Jczju6bqEnc+p4b1lk4BwYHJo/z5lOcQ4dyD8r3LrvRdy/dqnrv53t5I+uO3tGCP/y6fdBEhhUScCMkDzdd3IiZFJJkoBZdRp6MwYM24HE4Nonk+n8vFNnXxbr93Tg9usXIRaScFYdIIoCFR4S3wuFJCSQn3utlDOMnGdbv6cD933+cjQP/fxEUA8ZRmDAbcsXoiWen8FsiWu4bflCUN5GgiTIcSyKDIwxHOvNoHtQx//P3r1Hx1Wdd+P/7nOdq+6ysC2DDTUmxjXEMkFAV0OhSWiB8PKzAzSWCW7jC7Shb1ZCaFbqkiw36y1x+BFIii+05WI7wY7dNA30TUghhDbEBcuAS9wYY2wjGbAu1m0u57r3+8doxhrNjCTrMucc6fmsNQtpJDP7HD1n385z9m47kwJjDLLs/8K7XODeP7gI/3n/H+CX912L/7z/D3DvH1zkacLQWMV1GTcsnY1jHQmc7jNwrCOBG5bORlz3bnBjuTy3fC5wdpBmBeAmMmPAV//4EiyeXYGGyhAWz67AV//4EpTp3uCEBLn+8FscB/lcEpJFcVxaZVjGR+ZW4Y7t+/HxzS/hju378ZG5VagI08SgYTg41ZPCye4kTvWkYBiO10VCKKRgbnUEF9RGMbc6MuZBdFiV8fVPL4Y2mHivyRK+/unFCJVhAlhiwOaV+dff5pVLyzaAZx5f/w7PrPi6bXUTdq9rxrbVTaiP6WV5gtzLzy6l1EpfTgD6xrGQhC0tTXmxtKWlCbEQTUcRQoCQKmHrsDriwRVL8egLR2E5HBPceYMQQmas8YyBslvRWEP6nltfOlYwLtiyahl0uvk+JTgX6EsbONWTQnci898PEya4AP719VO4fft+fNhv4oM+A21nMvPlEU0uOlZImnZBP/yxVcuw98B72La6CaosYW5lGHOrI6iLhyjRiZApoCgSZlWE0FgdQUgtHBs/uGIptr50LPf77T1p1MU0rN/RCtPm6EiYXhWdkHMSCimIaMXnfxKmU7Sd6hwwcSZtFfvfnRN/PwJYZq4AnnrleN5qHE+9crws2xQQMlmCHMeOKzBgOHmr+Txyx+WoDKleF21UFWEZiwdveg7daqMi5P9BguUI9KftgvNe4eEKSqLE1ilB2NIwpEroTtq4e+dreVufVIb9H8dBrj/8FsdBPpeEZFEcl5Y0S6/8MtWrzvjZ0H3ah7aBCydpWWIvpCy3YKXJcjAcjm/99Eje9fetnx7Bd+64vCyfjxLX/9fLdP2HFAlfuWFRLvk9e+5DZbipElblop8d9nDyv9RKe1IAsk8TBsezb7TjibuugCwxuFxg74H3cOfVCzxbKYsQ4h+WI1AX07DpliWIaDJ60za+/bMj6EyYkBho1UxCCCmj7Gr1f3Pzpbm+5+ttvfj2z45g0y1LcGF9FLYrUBFWkLRc1Hld4GmAc4GuhAldARw380B1R8LCgeNdaFpQVzC2BoB7dh3Ezj+7EqbDR1x964M+E4vOi+HJNR+DKjNILLMq1J/+3kWoj+uBGEsQMp1U6CrcCoHd65phOhy6IuEbP/kNXm/rzf1OY3UYMstsNekKgYhKiaUkOOK6hsZq4Jl1zbAGY/zpV45j2fzakqua1cd1GIYzoXljukqGUCWGNdcswKZnD+P27fux6dnDWHPNAqjU6JMRcC7QOWDiVE9mNaJybGsxkiDHsSsE/vKZN/JuHP7lM28EYnWklCWKbrWRsvxfdj+ed2lw65Shyrl1ykSkreI3wNOW/ydpqf6YPEE+l8RbfupXUByXNtIe5DNZd9oq2gZ2T8JTOl7wcqVJRWLoTJhYv6MVt2/fj/U7WtGZMMu2XYRc4vov1zaWDhdFz325Vnby6rNLUSVWdKWvINTHDhfY9h8n8ImHX8Z1D/0Sn3j4ZWz7jxMzvr4khGRYLgdD5qGhL/3wzVx7t3nlUnQlLEgS87xPTAghM4XDBVY0zQMXIq/v2ZkwEVIlhBQJ//fQ+0hbLm1jN0YjzfFwLnDkwwH89oNe9BkuTvUZ+M0HA9iwsxXXLZ5ddGx9y7JGtPekIUsMKcvNPHBdZPWtzSuXorEmDFliiGgyVJlBkRjqojoaKkOU6ESIB1RVhuNm6trrHvolHC6w5poFBdfuh/1GJulp8Dr101wxISNRFAkRWQEXAroi5eaDtr50rOhqvvta22C7YsLzxsF8vHaKMAbUDnmaKGW5qI1pgdh6iHiDc4Ejpwew9ukDuQz7x+9cjkUNcc86jEGOY9stcePQ9X/jHeStJfx43lWZYcuqZbh718GzT6+sWgY1AFsaBvkGuCsEwpqcV3+ENTkQCYd+i+Mg18XEO37rVzCpRBzT4xJQSqyyMtMnfIPcBhbjljieckwshRQJj61ahnuG9IUeW7WsLCsbAaVXlnqkTCtL2SXOvV2Gc1+qX+/l6iJB7ldQfUkIGYksMbhCIKYreXVcRJMR1RV84fuvozNhYltLE2ZXhVAV1ugGLSGETBFFYqiNavjeC+/g87+/IK9erovrYAz4g480IKRIUBWqi4vhXKA7acFyMnOqp/vNknM83UkLa3ccwO51zUjbHPfsOoiHPnNZZsw5wq4HjdVhcCFQE1WxeeVS3Lf3UG71rfl1UWiDiU2awhCWlcCuskzIdORynhsj96ftovdiHvvFO9ja0gSJMThu4VzxttVNqItqkCQJtVHqGxN/0XUFDQAM10HC5GisDuP1tl784n9OY9fnr0TngInupIWnXjmOv7huIbb/8hj+/LrfmdBn0q2KIWxXYN+BNjRWh1Ef19FYHca+A5msMkKK6Uqe7awCmQ7n2qcPoCvp3T6qQY7j7PYMQwVlewYq++RyXIHvvngUG29ajN3rmrHxpsX47otHA5H4ppQ4n0G4oSME8Ngv3smtWGG5HI/94h0EINfJd3Ec5LqYeMdv/QrbKRHHDsVxPFx8D/J4eGYPr4LcBhajyVLR41Hlqf87JywXO399Ek/cdQVe/NLH8cRdV2Dnr08iYblT/tlApl0ttrJUudpVL2PJj3Ec5H5FWCteX4a1mV1fEkIyVIlBCOC7Lx6FKjPUxjTMr43AcgTiuoLX23rR3pPG+p2teLOtD0dOD9DT7IQQMkXCmoT6uI5X3u3GP7x8PNf3nFcTgWVzWG5mZwMBIK6pXhd3yjgOx/u9aZzsTuL93jQcZ2wPPWQfYLv1sV/hmgd/gTfb+orO8XQnMytYWI6bezhIYsjbkm6kXQ8eW7UM3ykJPqMAACAASURBVN9/AhFdwUX1MTyzrhmP3HE5Fp0XR0VIRm1YQ0NlGNXRECU6EeIzuiqjN2Vjy6omdCWs3L0YTZFy801fueEjqI1pMB0Om4uCemT9jla80d6HWx/7FfWNiS/pugJdUlA1ZP78oX8/iqgmoyqiYeGsGO771CXY+euTeOXd7gnPt1FLN0RMl7DyivPRfiady6JcecX5iOk0CUeKM2y3aIa9YXv31G+0RBxHAxDH2e0ZsttGBGl7Bq1E2bUAlN2P593mAs8f7sDzhzvy3v/rGxd7VKKxiwze0Bm+p3okADd0dEXClz+1CKd6DACZm7xf/tQi6GVaRWIi/BbH1Kcg4+G3foXEgN9f1IA1T76Wu64eXLEUAWjappwGBRfWArvXNcPhAorEUBWWIM/w4VWQ28BiVJnh4dsuwxf3vJk7nodvu6wsK03KEsMr73ZjT2t77r3G6jDu/cOFU/7ZQKZdLXrsZaoAasManlxzBdqGtKPzasKoDWtT/tmzYjq2tjTltqhurA5ja0sTZsX0Kf/sUoI8xotrKmpjHD9Y2wwuBCTGIMvT+wYZIWTsqsMqDO7gazcuRueAiWOdSexrbcMXrr8YKdvJ/V57T6b+W/v0AfzonmtQH/euTiaEkOkqIisQIeCpNVfgvTNpnElaSFkuaqIqIrqCpGnnVlFXVdnr4o7KshwkbAdpi+fG7WFNwoDhIqRI4CLzoKcsMeiKBNsVsAe/z24f9dSv3sXNlzfikoY4lFHmR7uTVl5SQkSTi87xWE7mARZNkXMPVdiuyNuS7sXDHxQdW0d1Cbqi486rFyCsSXBc4Lx4aNSyEUL8oS6qI5F2IJhAU20FLqzP9IE7BkxseekdrLlmAeriEn723+/jDy+dXXLF8aqwmkugpL4x8aNQSIFhAI3VQ+bPZUBA4GR3Zmz3R787G2s/fuGE57Zm9mz8MIoEWA7Hxh+/lbccHPUTSCkyK74kv5c7bUkl4lgKQBxX6irq4nrBErmVuv8nwnWNFS27rvn/jrAfz3t2lZ6CaysAd9jDsoK6YTd0FDnzvt/FVAUfOmZe/bG1pQkxNQBl14tfgzHdm5ihPgUZD7/1K7gAnnrleN42Vk+9chwP3HypNwXyERcO3u02CyYeL6wFZvIQK8htYDGGw/HDA+144q4rMtvscIHHX363LAlHEa34NnblShyr1FVURfO3TauKamXtHxo2L+iTlEtIlfKOPaR624AHeYynqjLqIzo6Eia4yCTS1kf0QNwgI4RMPc6B97rNvATTbS1NaKjUsPapg7nfa6wOozdt590kJoQQMrlCIQWu4cAo0u+M6zLu3nkIjdVh6D7ox2W3izMdF6rE4HABVwjosgSHCzhcIKRI6ExYeW3MlpYm/M+pXsyrjeY9MPnYqmX43otH8fzhjtwDlBFNxorl87DvQBtqrrkQc6rCI5Ypu1JTVnaVpuFzPJqSOX+1UQ2Pr16OYx39mF8fz43/vv2zI7j3+oU4r0LPe8CqIiwhZQpUh1VoWjDH2ITMdJLEML8uirRlFswrbmtpQn2Fjn978xSWL6iDJAGqJBetR3rTNgBQ35j4WiikAAaQggVNyST2FpvbkiXAtt1xzxP5dmqMMfZPjLEOxthbJX7OGGOPMsbeYYwdYowtm+hn9qU51u9oLVgOri/t3So9xN/CmozNK5fmLcm/eeVShDXvOvyJEnGcCEAc95k2OOeYVxPJLZHLOUefaXtdtFEZlihadsPy/xKSfjzv2ZWyhl9bQVjlq8+00dFv4p2OBD7sM/BORwId/WYg4vhM+uwEAJCpPzbsbMWZtOVxyUaXMItfgwnTm2uQ+hRkPPzWrwhrMtZcswCbnj2M27fvx6ZnD2PNNQs87ef4RW+a5yYkgMw1fvfOVvTO8Gvc4A6SppvXBiZNFwZ3Rv/HPqTJEm5dNhdrnnwN1z30S6x58jXcumwutDJsY2dYHN8btqXv9148CsMqT4x1py2seeI1rHnyNdy+fT/WPPka1jzxGrrL1CfoLtEnKcfndyRM3DXs2O964jV0JLzbqjzIYzwgk/A0tzqCC2qjmFsdoUQnQkhOsfp+/c5WpC2B+nhmNb/s6qJbXzqWd5OYEELI5Cs1n8VFZpvrx+9cjtro1K+2OpKh28V94fuv492uJG7fvh9/+YM3cl9/fPNLOPzBQEEbc/fOVly9sD6X6JR9/55dB7GiaV7u+/v2HsKZpI1TPQZWLj8fjjt6vzu7UlPW1peOFczxDD1/ksSw6Lw4LpldhcqQjLmVIexe14zv3HE5Lm6IQZGA+qiW60PHQyE0VIYp0YmQgJMkVnRecf3OViQNBxfUxRFSJSgSQ6Wu4PE7l+fVI9l+cfZ76hsTPwuFFMytjoBzwHRE0T7GmaSLpD3++6d+bhWfBPA9AE+X+PkfAVg4+LoSwJbB/46bXWI5OJv2uyQlVIU1NFSE8p76bagIoaoM2yuUEuQ4trnAnz3Vmlf+xuownlnX7GGpxobKPrk4Mkv9Dr22IpqMINzOsbnAn3//dV+dz7Gi+mNyyxPUc0m847d+hd/K4ydOiWvcmeHXeNLkuOuJ1wrq4t3rmlEV8bBg4+S4vGAS/L69h7CnDG1LqS19v1amLX29jnEvP9/rYy+G+hWEkOmqVJ17ut/AX/3RR/DVP16ME11JfPtnR3xzk50QQqazkv1Ol+OH669CQ0UIkscPow7dLm7jTYtzY7ahXwOlt5EbaVuood9HBh/0kiUGZQwPvNRGNTx+5/Jc2ToTJhoqQvjne66G7XBoiozaqJZ3/iSJYVZFaNznghASTKX6wB0DJtY8+Roaq8N4cs3HYDsCixri+NE918ByXLhc4G+fO4zX23oLEigJ8bPsnFqxuO8cMKFIoXHPHfs22UkI8TJjbP4Iv3ILgKeFEALAfsZYFWNsthDig/F+ZpC3TSLekCSG+bVRxEMqLMct2mEttyDHcamBBg/AJD6VfXKZDsfX//UwNlx7ESKQYbmZ7x+543LPyjRWfjyfY0X1x+QJ8rkk3vFbv8Jv5fETpcQ1rszwc+PHJJGJ8DLBxOsYm8mf7/WxF0P9CkLIdFWqzu1OWnC5wLyaMJbMrcT3PvtR6osSQkgZjNTv5EL4og4eul1cVVgt+jVQehu5UseY3RYq+33KymwNpSkSZsX0UcslSSwvKYHaLUJIKaX6wEO3p5NYZp5Nkhjq45k6iHOBb966FA/cTHUMCRZFYhBAybFfNsbHw7fb2I3BXABtQ75vH3xv3HRFKrp1iK4E+TSRqZZtaOZWZ7ZO8rphCXIca4qUt9QrkCm/GoSyyyXKXoZtTibKj+ddkyV0Jkys39GK27fvx/odrehMmIE4n6FhSxYDmfOpB2A5Ua1E/aHRNXjOglwXE2/5rV/ht/L4RW1Yw5aWprxrfEtLE2pn+KpX2cmaobxOEpkIL4/H6xibyZ8/K6YX/eyx3OCYKtSvIIRMV7VhDVuH1bkPrliKfa1tSFkuhAD1RSdo/l89N64XIWRmGqnf6ZetkoZuF5dNaBr+NVB8G7ktLU145WhnwfuPrVqGfa1tue83r1yKmqiKxpow6sIalDH2u2kOhRAyFsXmPIZvT8cFCuafqI4hQVUb1qAprOTYbyJzrSyzMJI/Da7s9KwQYkmRnz0H4P8IIf5z8PsXAHxFCNFa5HfXAVgHAOeff37TyZMni36eYTho70+j7Uw6t1XHvJowGivCCIV8uwgWCaZzvmrHGse27eJkT6ogji+ojkBV/TEgKcW2Xbzdmcjt2dlYHca21U24uD4WjLJ3JLB+55CytzTh4lkBKfv4zvs5xfFYYxgALMvB0a5kQZkW1kV9vy855wK//bAf64aUffvqJlxyXoXvO5+W5eC93sJ28Pwq/+8HP844nrK6mPoUpIymLI7JyAzDQXfagsMFFImhNqzN+OvbMBwc7U7i7iH9oS0tTVhYGx3t3PgyjidwPJP2+V7G2Ez+fNt20ZEwc589K6aPpU8/ZX1j6leQMvFlXUymP8NwcDpponPARHfSwr7WNqy5ZgHq4jrmnXs9V5Y4ngnJQCf+7kavizCTUX1MPFOq3zmrQkVMO6cb61MWx5wLHDk9gLVPH0B9TMdXbliE+/Yeyvs6O357cs0ViKgy7MF+fViTMGC4CCkSuABsl0OSGHRFgu0KOIPfKxIDA1AVUqHr1N+eoaguJlMqO+fhcgEB4JvPHcbzhztyCZiVERUNEX2iY36KY+IbhuHAEg56Um7e2O8L11882lzriHEc5GSnbQBeEkL8YPD7IwCuHW0bu+XLl4sDBw6U/LnXE7pkxphQxsNocTzOyXlfoLJ7oxw3dIYaLYaBTOJNZ/JsfVwf1XyfcJPFuUB30grkksVBPu/jiOMprYupT0HKZErjmJBzNc66z7dxTHU5OQdT2jemWCRl4Nu6mEx/tu2iO2XBcjI3mVWJoVJXx1PPlSWOZ0Ky03hRktSkoPqYeGp4v7MqLCF8bolOwBTH8dC5V0VicLiAKwR0Wcp8zQUUWUJtmJKVyLhRXUzKxrIcdCWtXGKmrkiIqcpkjPkpjonvjGN+a8Q4DnIr/68A/oIx9gyAKwH0jZboNBahkIK5NGFIAk5VZcytjnhdjHGhsnvDj2XXNAVzA5JkM9zQfZSDJsjn3W9xTH0KQshMNN3qvul2PCS4KBYJIdOZqso4rzI8+i8SQgiZckHodwZ57pUQQobTNAVzAnpPhpBzNdn9DN9eOYyxHwC4FkAdY6wdwAMAVAAQQmwF8G8A/hjAOwBSANZ4U1JCCCGEEEIIIYQQQgghhBBCCCGEEEJIOfg22UkI8Sej/FwA+PMyFYcQQgghhBBCCCGEEEIIIYQQQgghhBDiMcnrAhBCCCGEEEIIIYQQQgghhBBCCCGEEELIWFCyEyGEEEIIIYQQQgghhBBCCCGEEEIIISQQfLuNHSGEEEIIIYQQQgghhBBCgmH+Xz03rn934u9unOSSTI3xHh8QnGMkhBBCCCEkKJgQwusylBVjrBPAySI/qgPQVebieGWmHKufj7NLCHHDeP/xCHE8EX4+X5NpJhxnuY5x3HE8yTHsl78plaOQX8pSqhxTVRf75bjLYaYcq5+Ps1x9Cr+dAz+Vh8pS3LmUZSbFMZXB+8+fqjL4pW882fzw95qooB+D78d3wIydp/Bz+fxcNmDqyleOOPb7uc2ick6ucpbTj/XxRPn170zlOndjLVvQ4tjP53wsglx+v5bdbzHsx/PktzL5rTyA92WarDj2+jiK8WOZAH+Wy49lAiapTzHjkp1KYYwdEEIs97oc5TBTjnWmHOdkmSnnayYc50w4xqH8crxUjkJ+KUu5y+GX4y6HmXKsM+U4R+K3c+Cn8lBZivNTWbL8UCYqg/ef75cyBMV0OFdBP4agl38i/H7sfi6fn8sG+L98IwlK2amckyso5fQrv54/Kte583PZJiLoxxXk8ge57OXkx/PktzL5rTyAP8s0Hn48Dj+WCfBnufxYJmDyyiVNRmEIIYQQQgghhBBCCCGEEEIIIYQQQgghZKpRshMhhBBCCCGEEEIIIYQQQgghhBBCCCEkECjZ6aztXhegjGbKsc6U45wsM+V8zYTjnAnHOJRfjpfKUcgvZSl3Ofxy3OUwU451phznSPx2DvxUHipLcX4qS5YfykRl8P7zAX+UISimw7kK+jEEvfwT4fdj93P5/Fw2wP/lG0lQyk7lnFxBKadf+fX8UbnOnZ/LNhFBP64glz/IZS8nP54nv5XJb+UB/Fmm8fDjcfixTIA/y+XHMgGTVC4mhJiM/w8hhBBCCCGEEEIIIYQQQgghhBBCCCGETCla2YkQQgghhBBCCCGEEEIIIYQQQgghhBASCJTsRAghhBBCCCGEEEIIIYQQQgghhBBCCAkESnYihBBCCCGEEEIIIYQQQgghhBBCCCGEBAIlOxFCCCGEEEIIIYQQQgghhBBCCCGEEEICYcYlO91www0CAL3o5fVrQiiO6eWT17hRDNPLJ68JoTiml09eE0JxTC+fvCaE4phePnmNG8UwvXzymhCKY3r55DUhFMf08slrQiiO6eWT14RQHNPLB68JoRiml09eE0JxTC+fvEY045Kdurq6vC4CIRNGcUyCjmKYTAcUx2Q6oDgm0wHFMQk6imEyHVAck+mA4phMBxTHZDqgOCZBRzFMpgOKYxIEMy7ZiRBCCCGEEEIIIYQQQgghhBBCCCGEEBJMlOxECCGEEEIIIYQQQgghhBBCCCGEEEIICQRKdiKEEEIIIYQQQgghhBBCCCGEEEIIIYQEAiU7EUIIIYQQQgghhBBCCCGEEEIIIYQQQgKBkp0IIYQQQgghhBBCCCGEEEIIIYQQQgghgUDJToQQQgghhBBCCCGEEEIIIYQQQgghhJBAULwugN8YhoPutAWHCygSQ21YQyhEp4mUxrlAd9KC5bjQFBm1UQ2SxDwtk2k66EqdjeO6iAZdD0YcW5aDzuTZstdHNWhaMMoe5PPux7L78dqaCYLcDvqt7H4rDwkGv9V9FMeEeMfr68/r/qHXn08mj9exTAjxN9N00GPYMB0OWWJQJYaQxhCWFfSZrm/6xaOxbRcDlo20xeFwgZAigQvAcvmY2jG/jQMIIdPX/L96blz/7sTf3TjJJSHngnOBrqQJw3YhMYaQIsHhIq/9lCQGlwuoMkN1RIfrcnQlLVju2d+piWhQVXlSy0XtFyFj4zgcnQkTDueQGANjgBBAWJMwYLgIKRIYY7BdTtcT8bVSdf/Q+R9NliAxwHAy46GYLiEe0ic9pml2aQjDcNDen0bbmTQimoyU5WJeTRiNCNNEHCmKc4Ejpwew9ukDaO9Jo7E6jMfvXI5FDXHPGiDTdNDWlx/H6Zow5lWGfX9zwLIcnOxNo31I2VM1YVxQFfZ9wpNpOug2LHABCABcAN2GhVrA9+fdNB18mDRhOwISA2xX4MOkifPgXdn9eG3NBEFuBw3DwelUfhyfFiYaAE/KHuRzSbzjt7qP4nhkdPN+ZvDq72wYDo52J3H3ztZcfbClpQkLa6Nl+Xyv+4em6eBoVxIbhhz/1pYmLKyLluXzacJ+8lBbQggZiWk6aO9L471hdYQkqTjVk8S6Ha2+6BePxjAcmMJByuKwHI6QKiFlu+hOWOhOWtjX2oZ7r78YtVEVXKDgwT6/jQMIIYR4Z3hSkyoxKAqD5XAkTY5MsyDAhcBnH/+vXLuxeeVS1MY0qDKDYUtwuYF+w8nrhzdWh+EKgbAqIW0LzIrp4JyP++Fzar8IGRvH4TiTstBv2HnXZHVUxRsnz+APL50NVWboSlhYvzMY/V8ycw2v+z+5eBa+duNiaApD0nTzYryhUkdUU2A6HAIAmImIok5q0i3NLA3RbznoSVrY+OO3chXJw7ddhoqQSpNwpKjupIWHf34EG29ajKqwit60jYd/fgTfvHUp6uO6J2XqM+zicawrmOXzpJuetA3X5XnvuS5HT9pGg8+TnZKOg+6EXXBDKqRIvk92GrAcWLaL9h5jyMAnhAHL8azsfry2zkVQb4AHuR1M2E7mMYihhEDCdjwpe5DPJfGO3+q+frN0n2Kmx7FhOGjrz0/QbqwJYx7dvJ9WvEzS6E5b+O4Lb+fVB9994W08cPOlmFuGGBuwHPSnnYK+bVSVy9I/7E7bOHC8C99f2wwuBCTG8OLhD1AT1TBnij8/c3PBgOUIuFxAOC66kgbqoiFPJxgdh6MjYcJ2OVRZwqyYDkWRPCvPWPVbDjoHzLy2ZPPKpYHpEwW1X09IUPSZDjqG1RFbVi1DXFfAwH3TLy6Fc4GuhIm07YIxhtN9RibRyWJ5CbsPrliKR194Gyua5uHgiW6svnoB3AETisQQ1jJPPGdvFgBAe08aa58+gB/dc42vjpcQQsi5OdeHKIolD/39Zz+KmqgOh3O0nUnh0ReOojNh4rFVy3D1hbXY09qO9p407tt7CJtuWYKLG2KQJQYhULQf3puSENFlVIYVdCYMdCftgodMZlfqqNBVWK6N3jTP9YXDmoSIfHZOqDtpUftFyCgch+O3pweQtlw4nBf0e//od+cAACxX4JEX3s67nh7++RF8/dNL4HAOmTGENRlVYXoYi3hraN3/0XlV+NzVC7DqH/4Lm1cuhSKxgnsJ1RENXQMmTnZbuHBWFAMskwegT9LDhTRDM4Ttcnxxz5t5FckX97yJ3euaPS4Z8SvOOf7s9y7El374Zu7Cfegzl4FzPvo/niI2F4GNY8YYdFXC78yKwRUCMmNweGbCyO/SFkdrsRsyl84Gol6XbmQuF1BkVnDeXS5G/8dTViaOz129APfvO5Q3Oeh6eG2NlWE4SLpO3ntJ1wEMb1YYOhdBbwcHDLdgcB71KFEy6OeSeMNv/Yog9ymmWr9po6vIpGElJYJNq8SAAbt4kkZleOqTNBhD0b5QubrFlsNziU5A5vq/e2cr9pTp+tdVht+7eBaOdSRyiWa/d/Es6OrUn4CEZcGwOawhq1pxwZCwLFSEvJmwdxyOPtOCGEzsFkKgz7RQCc33CU+Wy3Hf3kN5sXTf3kN4JgBtidcrrE1UUBPkyMxSrI64e9dBbLplCeriOuqjCv6/rftz7aCX823DZW9IP/zzI/jSJy9GVFcxtzoEIYDbt+/PO6b79x3CxpsW44KaMGZXzsUdgz/P1iu1MRW3NzXixSOd2HDtRbkELz8dLyGEkHMzllWPskmzugI4bmarn8qwgt3rmqHKDLYrclvVbf/lMbzybjceXLEU3/7ZEdyz6yB2ff5KXL+4Iddu/M6sKCSJoe1MCnVxvWg/fMeffgyr/+lVbLplCSyXY9Ozh/N+Z8POVnz7M5fhgtowuoo83F0b46hBZp7bctzczW5qvwgpriNhYsPO1ty1V6zfWx/XUR/TsOmWJXjg0xx/sesNAJl5odu2/TpvTqqhIoT5tVFKeCKe4fzsQyk1UQ1rnnwN7T1pzK0K47P/8F9F7yVEdQUnugagSjHYroAsMbicT8rDhf6fnSkjhwvUx/S8p4a2vnTM0xv+xN9cgdwNSSBz4X7ph29iz/qrPCtTkONYkYGEyXH3ztfyOtCVYa9LNrqQKqFpQR0++3j+hFVI9f9ksqowJBLFzrt3nSWXCzz1yvG8OH7qleN44OZLPSvTWJnCwfu9ZsFA8PwaIOTzZjfI9YftilyiE3B2cP5Dj+rjIJ9L4h2/9SscLnJlyWrvSVMcA7C4QNdAGs+sa4bLMwO01092Y15NxOuieSroiQHDmY53SRpCIJfolP3s+/cdKluyYanr3ynT9e86Aqbt5r1n2i5cZ+rjyHYEelM27tl1MBfHj61ahqg2eUtsn6uUbSFpunkJWK4QUCULFUrIs3KNhRvgtqQ7bRVN+tu9rrksK6xNRPbp4eEPAlzSEKeEJ+IrbolxU1VEzV1vH51XhdfbenH/vkOezrcBgGU5SLsOEkZmlYvKkIK/vXUJ+tIOPug1UBVVwcCK1nu1UQ0RXcXnH99fUK/8YG0z/teyRiybX5OX6LxtdRPq496uLEgIIX6UXTHJdFyoEoPDM/1jXZbg8EyCkCZLCKkMKevsykS6IiFpuQgpErjIJN3Kg+/broA9+L0iMTAAisxQGRr7AwZDV3JijI246hHnAkc+HEDnQArz6+PoTdn43otH8bmrF+DlI6exYvk8nBqyE8Pnf38BAOQSaF84fBoJw8GmZw+jPqbj3usXwuECEhM4rzIE2y3RDxeZ9yOajAjkor9TH9fhuCjaF/7B2mZ0py3MDSnQFBmfXDyr4EEdar8IOct2ed61l5VNElxQF4WAgOlymDZHVJfxWMtHcaIrVXROatMtS6Ar0phWiyNksmVWQ7dyibJ7N1yVi1EBlJxL3P3qSXy2eT56UjY0WULKclEVUTP3py0TFaHxz235e3amzEKKhK/csChXeWSzJHWaCCIlZBupodp70nBc7zLXgxzHaav4E+S71zX7fnUkwx6h7D7nx/MulVjNIAj9toRR+nz6PXEvyPWHVaI+tj2qj4N8Lol3/NavUCSGxupwXpkaq8OQg1AZT7GoJuHCWRV5T+VvW92EqDazr/EgJwYUUypJg5chScPrBJFS179SputfAOg3nIJVtepiU7+ykmHzXKITkDnv9+w66Gm/3nbhuwSssVJLxJIagLbE66S/icg+PTz8QYA966/CnCqfD0rIjBJW5aLjprqYhvqYDocLbLj2Iqzf0Zob33EuPLmpY1kOek0bp/utvMTubaub4Lgcuiqha8CEYfOi9V5NVIPLi/f3+eDKfS8fOY0df/YxSIxBlhhkCehNm6iJ+juxlRBCymnoikn1MT3Xjgz9ur0njU8unoUvXH9x/sM4q5bhpd92YPmCmry257FVy/C9F4/i+cMdubYooskIazKSlos5FeFRE56Gr+Q09AZwVntPGpaTeaijO2lh7Y4D2L2uGenBMcjGmxbj/n2HsOvzV+L93nTBeOiLn7wYR3cexJzKEDZcexHu/KdXUR/T8eVPLcqbR9+8cinm1USKtkcf9hlorA6jN23n3hv+O+91p3BhfbRkm5XtDtdGNfz1jYuxa/8Jar8IAWDbLlKODdvJPECXTbQceu1lV0Mrdt1GNBm9KRsRTcYFtZGi12BEk3MPyA5fLY6QiTAMBwnbycWuKmV2Y4prCjTt7Pal2bFZ9vtsXEus9FzizZc34pvPHS6477u1pQmapMOAM+4HZWf2bPwwLhdFsySD8MQh8YY82EgN1Vgd9rRhCXIcB3kymco+uXiJ1QwCcDp9eT7HKsj1h9/q4yCfS+Idv8WxIjFsXrk0V6bswLtcyQ5+Ztgib2DX3pPG+h2tMOyZfY0HuQ0sRi1xTZbjGpA8rg+kEtd/uT7fLtGO2l4mmgnv4rhUApZh+397iFhIwtaWprxY2trShFjI/9NRiod1wESVSqD26kEAQkopNW461Wvg3usXQpYYqsIqgMz1QyMj7wAAIABJREFU925nEt1Jy5OydiYt2I4oSOxev6MVZ5I2qiMa7tt7CI++cBQPrlhaUO/tfvUkHFcUb98ZQ1STcdNlc7H6H1/Fxze/hDu270fngIUB04VhOGU/XkII8avupJVLKNpw7UW5dmTo1wCwomle4cM4uw7i1qbGgrbnnl0HsaJpXu77+/YewpmkjVM9BixHoCNhnlO5st8Xq/M1JfPAQnYLuMxqTJnPrQqruRvGxdpHxxX4yg2LEAspOJO0csc9fB79vr2H8EGvUdAPf+gzl+HpX5/A5pVLsfWlY9j60jFsWbUs73ceXLEUj75wtPQcFWO5/rDjuNAVidovQpBJdOoxLPSmXbzfZ+D27fvx8c0v4Rs/+Q22tDTh6V+fwEOfuQyN1eGS1+2ZpI26mIb1O1vBBYpegynLRW/aRntPZrU4r/rGZHoxDAenU2Ze7N62fT/e7zPxYcKEZWXq82zblbX1pWO5sQ8XouhcoiwxbNjZihVN8wrifsPOVpgOR3d6/HHsq9klxtg/McY6GGNvDXlvM2Pst4yxQ4yxHzHGqob87KuMsXcYY0cYY5+a6OfbJSY1yzGhSoJJK3ETQPNw8jPIcRzkyWQq++Ty402msfLj+RyrINcfaon62KtVA4J8Lol3/NavMB2Ob/30CDbetBi71zVj402L8a2fHoHp0I1Sv60m5xdBbgOLYshNRAFnJ4dRhsPxOtmw1PVvlen693JVrVKT+jLzLo6DnEg4YHD85I12PHHXFXjxSx/HE3ddgZ+80Y4Bw//1ZW1Yw5ZhN4i2tDShNqx5XLLRTbv6mExbpfpUDMD8uihsl6M3befa4EdfOJpbEaPcstsilXrCng9uTfJ6Wy++/bOzbegz65rxkzfasWx+LRQJResVWc60vXcXSWy1HTGhyX9CCJluht5ozSYHDf+62PfA2dVyi72fTa7Nfh/RZEQ0GRLDmFbcHukGMJCp8x+/czlqo5m+pKbIuf5ZNqkh2+aNtNLvfXsPQWIsl0xV6ji5EKgMK9h0yxL84svXYs+6ZpxfG8bGmy5FRJPRmTDxelsvDJtj0y1LcuO+b//sCDoTJsKqVLLNyvaHu5IWLFeM2H5lb5ATMp3ZtouOhAnbEbAdkfew0vOHO/DdF97G39x8Kc6vCWPP+qtwyXnxkn3K7HZ3LhfYtrqpYF6oOqpi60vHcv/Gq74xmT4sy0F32iqI3faezIr9lpPZug4423Zlvd7Wi6deOY49669CSJVQF9dzbcqmW5agLq6jJ2nnJfQOlZ3bmsj8lt/2EngSwPcAPD3kvZ8D+KoQwmGMPQjgqwDuZ4wtBnAHgEsBzAHw74yxi4UQ476qvV6qnwSPokioCGU6jNm9kytCypj3cJ6SMgU4jsNapgOdt7RsSxPCAdgShso+ueQScezlTaaxiurFz2dU938sBLn+UBWW60hl6+O6uA5V8W5FnKCeS+Idv/UrFImhM2Fi/Y7W3HsUxxml2qmZvmx0LFS8DQzCCi7FCAH843++i403LUZVWEVv2sY//ue7eODmS6f8sxmAiCbn1QcRTS5HnhWA0td/ubax9HIbTcaAB1csLdhO2ctuaJD7FQ4X2PYfJ7DtP07kvf/Z5vmelOdchEIKFtZGsXtdc277gdqwNu6l1cspqst4bNWywq0Pdf9vfUhmDtt2S/apUpaLlOkgFlJw6Zw4vnP75fjmc/+DzoSZWxGj3LJ1bqnyulzkfvZ6Wy/W72hFY3UYuz5/JT59eSPWD/aPvn7TJXn1SliToMhAT9ItOvkvsUxdapoOdN3/9Q8hhEy17I3W9p50Ljlo+NcACr4Hzs4vF3s/u61b9vuUlbnVyAWgyKOPaYeWC8i/ASyEgKbIqI1quXmD2qiGx1cvx7GOfsyvj+e20ntwxVL0pqyiZexKmGjvSUOWGPa1tuHBFUuRstySbZPEGC45Lw6JAZIkoTaqgXMBXZHwzLpmcC4QUmWcHjDzxvFbW5qgKQwX1uoFbVZEVnL9YZsL8BKJWdn2K2k7ue2PCJmObNvFyZ4U2s6ksaA+mlupbajnD3fgazcuhgtAQECTS/eB7cHt7lRZwpwqHf98z9UwbA6JAR/0GvjGvx7G6229uX/jVd+YTB+G6+StMjhUtj7PPsRfG9Xw+J3LcysZNlaH8cVPLEJtWIXBHaiyiogq59qNf25tx8WzK/ISeofHPWOY0L1fX7UwQoiXGWPzh733/JBv9wNYOfj1LQCeEUKYAI4zxt4B8DEAvx7v50+3yXky9arCGpKmA11VILFMx1dXGKo8fNIzyHEsS0BtTMUP1jaDC5HZ41nOvO93VPbJFdMz211sGDbIigUgYci0BaojCp5Z1wyXi8GbcgJmALY2qgwXrz8qw/4/77KUuanzO7NivojjINfFxDt+61fEwiXq4gDUCVMtu5pcdll5r1eT8wudKWioEHltoKYw6MxXw84xC6kS/uK6hQXJAiF16q8BSWIFiSyKxMqWUKcpEh6+7TJ8cc+buWN/+LbLoJUp+VKVi3++WoaGXQjgqVeO5yW5PfXK8bIkuZUSL9FHiwegPg5yohaQSXiaG4DkpuEqQhqqIw6eXPOxvD5FRcj/q1KRmaMnbUOTWUF/c/PKpagIKdBVCWFNxsmuFLgQuPf6hbigNpJbEaPc6qMa+kynIJFwa0sTQqqE3a+exJZVy3KrWzRWh7Fl1TKAAfNr9bzrkQuBedWRXLve3pOCVOLmOxeAyhj6LQf1lOxECCF5N1q3vnQsNzYf+nV7Txr7WtsK6uzNK5eiz7ALxvPZRCPg7OopEU1GWJOhKQyzYvo5lWvoDeDzKkJFx3GSxLDovDhqYxp0BYiqMh64+dJMYhJj2La6Cet3nG0fs4m/2b70vddfjEdfeBtrrllQ0P5sXrkUdXG9aKK+JDHMqgjlvudcwHTcgn5jVMskZkVDw0t+liwx2K4Ysf0yHAHLooQnMn31pG10DpjY+OO38MRdV4CV6NNJjOWusZTl4pE7LsdfPvNG3nUb0xV898Wj2NrShLDGEJYUVEcy1w7nAgOGg87BbTWHrxZHyHgYhoP3zpgIqZmkuVL1eUSR0DlgwnJcNFRkkvBsh+cl8urZtKNoJl4/7Etjd2s76mM6vnP75dj+8rGChwu3tjQBwIRW0GbCZ1sCDSY7PSuEWFLkZz8BsFsIsZMx9j0A+4UQOwd/9o8A/q8QYu9I///ly5eLAwcOFP1Zv2HAdgHD4rmMs5AmQZWBitAILTqZsTgXOHJ6IK8D+/idy7GoIT7ajYgJzexO1zgeMAykbQHLEXk3yMIqQ9znZe9OGHBFYdllxlAb83fZJ3Dexx3HI8UwkInjjn4bbWfSudUM5tWEMatC9X0c9xsGTvfbaB9S9saaMBoCUHbTdGBwBwnjbP0RC0kISYrvnyDN7ok9PI6rQxpUteTTDVQXE18ZZ79iyuK4vSeFf//NB7hu8WwIIcAYw4uHP8AfXjobjdWRiXxs4CUNA+8XqevnVKiIzvBr3DAySx+f4yooUxbHE5Hdr952RG5CSlUYGiL6lK/s0pc20DlQ2Beqj6uoDE99jJ3uS6MrYaJjwMp9/qy4hrqYjobK8Oj/gwn6oDeFroSFrsTZz6+LaaiLa5hdObX1T3fCwKleoyDJbW5VaLR+/ZT1jQ3DQdJ1CvoV0SFPVftVb8pAW49ZkKg1r1pHVWRm15dTjXOB7qQFy3ELVhIowZd1MZm+2ntS2PHKcay6aj4YGLjIjOOyyZBxneG9MxbW7vBH3xjI1McdKRPWkL6BpjCoMsNvP0igsTqEkKqAi0xdrSsSYqoCTZNHvB67EwZSlovetJNXXz62ahkqwgp+sP8kWq5agNkVIU9XkydlQ/UxmVLz/+q5cf27E39347n8+pTG8dB+jiIxOFzAFQK6LGW+5gKaIsFyOY51JPPGVBFNhswyW8fZLs/coFUk2K6AM/i9IjEwAIrMUBnSxlz3jqP/VZRlOeg1HTiugOlwnOhK4tEXjqIzYWJLSxPqYiocV0CTZZiOC12R8o5HkxgqdHXMY4Xxlrs7YaA3bSNl8RHbL12R8hKsAoLqYjIm7T0p3LF9P9p70ritqRH3XHcR+tNO3pzClpYm1MZURFQJaZsjYbpwXQ7D5qiKaFCkTH/S4QIpy8XeA+/hlo824pLzKvKuRRrjkcl2qieF27fvx9UX1paM3aqwgn7DyUvAHUsuhGE4ONqdxN07W1Ef0/G3/2sJqqNq5uGPwXt4qsxQoY3aXo0Yx/6eFRuCMfY1AA6AXdm3ivxa0cwtxtg6AOsA4Pzzzy/5GT1JFx/0pjCvJpp77+iHA5hdFUHw2mFSDt1JK3dDEsgs57b26QP40T3XoD4+erb/uZhoHM8JQBz3pTkG0iYqwplzxwB0DxiIh3XEfV522xVIWw5ckcnOtt3M3rzhADyxcGZYzDAA73YkMKcqMqnnfawxDAAJQ+CuJ14ryCDes/4q38dxT9JF94CBixtiuZtRbWeS0GTJ92XXdQUwgQSs3HtBSHQCAFWVUQ0NHYNPNjBgtESncaE+BZlK5epXjDWOXS7w9Wd/i68/+9u896/7yHmTVpag0mQVcyqQtyxvVViCJqteF81z5VoF5Vz6FePVbzv45rOHsaJpXm6Fn32tbfjbW393yhNMEgbHt376W6xomocIZFhu5vsHbr4UZcg1guFw/PW//AYbrr0o9/l//S+/wXfuuHzqPxyAK4Dvvng07/i/++JR/E0ZVlcybI6dvz6JJ+66ArLE4HKBx19+F3/5hwsn9XPOJYZDIQUwAGNIHy0IiU4A0Jd28T+nevNWfHvlaCcqQ3Womtl5s1NOktikz0sMV466mExf7uA2lz0pB1/85EK4PFPnSsisOjxgilyiE+B93xjI1MfnSUBnMpPYrUsM9VENnAOLGmKwuQBjQFiRUaHl19Mjlbk6oqMvlcCcqrPbBclSZn7pOz8/ij2t7bjtigvQkTAxp6oMHQESOFQfk+ngXOJ4LP0czgX6DSs3R6vJEjSVwbA4JFlC/TgTkSZarrHQNAV1ioyuhAk9LOPihhi+c8flmQdTdQkOBxri+qSVf7zlzrRfNmKaNGL7xVjm71GulYq9QnXxzOQO2cpxT2s7AOB/f2Jh3haQIU2C5XBUhHTENIGQasGyRW4rSIkBG3/8Fp4/3JH7/z731umCfi+N8chkcpzMA3XtPem82M3O3ygSg+W4AFgu0QkY+7gsFFKwsDaady3UhDR0p61cQk9VSJ3wyn/+nxkDwBj7HICbAFwvzi5F1Q5g3pBfawTwfrF/L4TYDmA7kMlCLPU5qsTw5b3/XXhzfV3zxA6ATFuW4xbdvzJz8U+uscaxUiKOdwcgjlWJoTftYu2O/XlLN9ZEg9EJ7jccnEnauSdFaqJqIJKd5BIx88wkx8xYYxgAXM6LXlsu55NapqkQ9LZE1xXMDUByUzGqKmPuFK82Q30KMpXK1a84lz5FsaVr5Wk+OTUW/aaNE92pvOWmH7njcsyvjaB2kpMsSXHn0q8YL8N28fzhjrzJJgDYeNPk9/WHc7go+tlfu3HxlH82kLn+OxMm1u9ozb1Xzq3HwqqENdcsKNgqMlyGLQQ1RcYr73bnJnqAzLHfp1wyqZ9zrjEc1O3UFInh0V8cw1f++a3ce43VYVyzsN7DUpHJUo66mExf6mBfc09re67OzY6Z3u5Iozam+apvnKVpCuYWmeuZM4E6WpIY5tfF0JMywQCs+of/KuiDf9CXxrwayhIlxVF9TKaDyY5jSWKoiuiFCfbRor/uO3nbzfm0zNn2qytpwnH4iO1XT8r0/Q4YE0V18cykDps/3dPanplTWNeMAcPBrLgG1wUa4mFIEoMkMVQr+dfCqZ5UwfzPVN1rHg3F8czAuUBnwsib/8+Oyxqrw9j1+SuhygyqosJ2it+vHUt8FpvLmuy5Ld/PlDHGbgBwP4CPCyFSQ370rwC+zxj7/wHMAbAQwKsT+SxdlfDEXcvR3mOc3Y6iOgS9DBOqJJg0RS56E1BTvLvJpcoStrUsK9hyQpX9H8eMMdRE1bz9oV3ugjH/31RlACrCCmqiOlwhIDMGh7sTWyOyTFSJ4e8/+9GCRC3Vw5vZ0gj7GvsdtSXemayloicDxQEZD7/1K1RZwsO3XYYv7nkzl2zw8G2XBaJPMdXSNsfzb32Qt/LL3gPvYfXVC7wuGilivO2DzBg+uXhWwcpO5eiPlEo2LFeyUUST8NiqZQVbuUW08lz/1REdDXEHm25ZkmtHG+IhVEem9glGAKiNanj8zuUFW4rWRrUp/+zpKMjjU8Bf/UtCphtdlbBl1TLcvesg6mM67r1+IebXRcAYw0//+33cefUCX/WNp5okMdTGQuhOGNjW0oT1g9s93Hv9QlxQG0HHgIkwbWFHCCHEZySJYVY8BMfh2La6Kbf6xycXz8JX/+gj6Decso1jCfFCtk+bXZ26NqqhPq4jrEnYsL0Vz6xrRmN1OJNcMmAWHVv6bU6YTH8Dppm5By8Edn3+SnzzucN4/nAHGqvD2NrShIqQjOpoCJwLfNhv+Do+fZXsxBj7AYBrAdQxxtoBPADgqwB0AD8fTHjYL4TYIIT4DWNsD4DDyGxv9+dCiAmlOCoyYLkCG3/8Vm5Sc9vqJvjkb0V8yI8T4YoMCLC8ON7aEow4lhggSxLazqTy9tEOQl84pEnoTHBs2Pla3nmvifp/IkpVGKqjGqK6mksy0xQGVfHuxDMGPLhiKe7fd/Zp/gdXLEUAcp0QVRR86JoFbUlU8VWTW5LjcHQkTNguhypLmBXTx7wvvZc4FzjRlcTJIfXHBTURzK+LenJDivoUZDz81q+o0BQ0VIbykpA1haEiAKsWTjVNZrjxsrlY8+RreYkgmhyAhmqG4VzgVG8KppNZFjxtcxi2g7lVkVHbh5Aq4QvXX4y7d57dk35LSxNCZUhcrY9q2NLSVPDZ9WWqDyrDOhKmm3f96wpDZXjqk42AzIT53MpMknB2qeu6SHmSTCSJYVFDHD+65xpKcJkEIa34+DQUgNyxidQffmBZTm6rLWVwq62JLg9PyGSKqQoqIyq+v/ZK9KcdbBjS5m1raUJEl7C1pSnvfa/n3MohrimwYhx71jejO2Hh7iGJx9tamlChq4HYxpQQQsjMoigSLqqJYtfnr0TCdOBygdX/9GrB/Di1YWS6iakK6uIa7r3+4rx+65aWJlx9YS0kBnzYl4bpcHAh8GGfgSd+dRxf/MQiLKyP4UzKgmG7BQknM6HfS7xhGA7eO2PmzTlubWnCxpsWw3QENIUhoigwTQedKQtCiHGNy8o1J+GrVkUI8SdF3v7HEX7/mwC+OVmfnzIFHvn3t7HxpsW5J3cf+fe38Y1PL0ElbYdOivDjRLhpCzz6Qn4cP/pCJo79jgugJ2nlTYQ/fNtlqAipXhdtVCmT5yp6ILOE34adrfjh+qt8X38IAfSl7LwJtC2rliGqeZeVwcDw8pHTBStmXFh3oWdlGqszhl2wf+36Ha3Ys/6qCS1rXw6Ow/F+fxrW4A0d23Xxfn8acyrCvk946kmZOD1g5NUfm1cuRWVE8WSJZOpTkPHwW7/CggPL4Wg7k85LQrbgIOSvYUTZ2a7IrXgDZOr6e3YdDMS2wTNNX9qEYbsFK+31pU1UR0duHwyb5wb+QObvfPfO1rL8nTVNwaL6/H3ty5moIEkMc6sinq1oY1kOjnYl8yZStrY04eL6aFnOgSQx1MfLk9g13Q2ki4+Tdq9rRoXPd7GYSP3hNcty8Hand9cQIWOh6wpmCeBM2iqYx3rkhbfxtRsX40wijT3rr4IQwvO+cblomgLNcjL9kMFVr7LnpmPARHVURQ1AN4sJIYT4TiikoIo7UCWG27bvz2/D+k3MimceqvX7PDMh50KWJQjBCsa9d+9sxZ71zbBdgc4BA91JC/ta27DmmgX4wnUL8S8H2/Dpjzbm7iVlx2wPfPpSqJKEupg+7fu9pPwch6M7bRXMd27YmVmFTFcY4iEJjAEne9NoH7wvIADsWd+M3pSNqoiG8ypCI8ZnOeckaFQ0hIDA565eULCSCEBbUpLS/DcRHtw4tl2e2yoHyFSwX9zzZiBuHNpu8T1LbZd7VKKxMwcn0PI6YrsOYo+H511TSqyY4eFqU2MV5FjoMyz0puyCLWuimuz7PdXTNsd9ew/lxfF9ew/hGY/imPoUZLz81K8wzMzyysOTCCt0xfc3qKeaw0XRut7hdI37jeUIdCWswjgeQzK9W+Lv7Jbp76xpCuZ6mJTgZX3UlbKLJsjsWX8V5lCiRqB4fR1NxETqD6/RNUSCIuk44CXGTgnTwUWzKiCEwNzqiNdFLasKXUXCNFAf0/HlTy3KOzdbVi2DwhglOxFCCPGliKqiN128Ddva0oSQCsSVGT6pRKYFzgV60iYcR8B03IJxb31Mx5mknZfs8eCKpXjiV8fxJx+7ALd97AJ8bnD1M+DsmO3pP/0YVF2iRCcyJfoMC1aJe5iWw5G2XMyuiKM7aaKryH2BC2ojcLgYNT7LOSdB6bNDCIFcwwtkTvz9+w4hAHNwhOTwAMexywXqYzq2rW7C7nXN2La6CfUxPRAT4bLE0Fidv1xLY3UYcgA6JHaJ8257eN7TNi+6Ykba9n/CUJBjwShx3o0AnHe/1R/UpyDTgcVF0SRCiwIZSom6XglAXT/T2CXieCz9nCC36UEX5ORxki/I19FE6g+v0TVEgsC2XSRMF4Ytio6dNDmzlak2A/cCV1UZisRw7/ULC87N3bsOwuICpul4XEpCCCGkkKrKkEu0YRt2tqI/zcED0J8mZCScC5zoTuLtDxM4/MEATnSlCsa9916/sCDZ4/59h7CiaR4imgyZsaJjtgHDgUXjNjIFsuOvYvHaWB2GrkhY1BCHokgl50O4AOQxTOeUc06Ckp2GCPITh4RkBTmOdUXCV25YhE3PHsbt2/dj07OH8ZUbFkEPwLKmjAEPrliaayCyWdoBmMP35XkPchxrEsPmlfmxsHnlUmgBCIYgr1QSVuWicRxWvZkYD3IME5JFcVxafVTDlpamvLp+S0sT6kfZq5yUX6k4HsvkqhTg/t1k4DyzutupnhQ6B8yyTkhTQuH0EeTraCL1h9foGiJB0JEw0TlgYsCwi15rKcuFKjFUh/2/mtpUqAjLmF8XKdkfH7Ao2YkQQog/qRLD+bXF2zCHC3QlTY9KRsjk6E5aONmdwn17DyGiyXj0haMF495S/bjaqJbp58rFx2zxkAKJIRDjThIs2fFXsXjdOjivnd1mdKT5kLA2+j23cs5J0Hq3Q2RP/NA/Hk0GkdFwLtCdtGA5LjRFRm1U83R5wSDHsVMiUzQI29gBwFOvHM/tQd2btvHUK8fx9U9f6nWxRsUFip73Peuv8qxMaok4VgMQx7Kc2fJl0y1LENFkpCwX9XEd8ljSnT0W9PrjiV/lX4NP/Oo4vv7pJZ6UJ8jnknjLT/2KINfFU03TFCyqj2L3umY4XECRGOqj2qTvOU4mTpWl4vWxPHpStyuAl4+cxhN3XQFZYnC5wN4D7+GC2gVTWWRf4FzgVG8KpiMgscyqm4btYG5VpCx1kjKYPJ7to2aTx6kdDZ4gX0cTqT+8pkgMD992WW6b+MbqMB6+7TK6hoivOIP9Xq3EtVYRViBLDO/3pxFWFc/n28otqmlIKLzkuJIj017PpHNCCCEkGCp1FZYraG6UTFuW4yKiyWjvSaM3baMzYeLbPzuSuzeRslzoilz0GqiJaqgMK5AkYFtLE9YP2ebu7z+7DLtfPYnVVy9Ad9JCfVz38CjJdJMdfxWL1/MqdGiakrs3IZe6vyVLqAqP/rBvOeck/D9DU0a6JmHrsCe0t7Y0QdfoNJHiOBc4cnoAtz72K1zz4C9w62O/wpHTA55m3MbCxeM4FvZ/HAd5BYmoJuG+Gy6BNjjxrcmZ76MBqD8cXnw5QZd7t1RmXVQrGsd1AVgxw3EFTNvNe8+0XTiu/+M4HpKKrlQSD/k/jgGBz129IG9lp89dvQCAN+ed+hRkPPzWrwjrxeM4rFMcA5mEp7nVEVxQG8Xc6gglOvlUTUgtGsc1odFXiQgpEm68bC7WPPkarnvol1jz5Gu48bK5CAVg1dGJ6kub6E3ZuOuJV3HdQ7/EXU+8it6Ujb50eZ7ANR2Ob/00M/Gye10zNt60GN/66RGYM3gpd8fheL83jZPdSbzfm4bjBONcBPk6mkj94TUOAVWRsOmWJdi9rhmbblkCVZHAPeobE1KMIjHsa23DnKpQwerIW1YtA2PAiq2/xu9/6yXP+8UTwblAx4CB984kcaonhTPJsa2WKEkM1UXqoYc+cxm+8ZPf4HS/iQGTVsYghBBy7oav4us4fFJX9Q2FFESKzCk9uGIpvvGT35R95WBCJpumZB5yb6wOY+tLx/DgiqXoTJhYv6MVX/rhmzivIlRyPBnRJFRGNLSfSeORF97GxpsWY++Gq/D0n34M/3boFH5/UQMsh8Ny3FFKQci5yY6/hsfrrLiOmqied2/iC99/vWCMlp0PGf6wRbZNOd2Xxvu9aZzqSZV1ToJm5IcwLI4Dx7vw/bXNEEKAMYYXD3+AT1w6G4h6XTriR91JC2ufPpC3Is7apw/gR/dc41nG7UCa4ydvtBc8OXvn1QtQEfKkSGOmKcWf5tMCMBFuOkBv0sLGH7+Vl6VaGYCJcIUVz9CVmXdPWWiagosDumKGzQXW7zxYcD6fCcAKZQlToLVIO1gbnYOK8Oj/3ktCoGAf+Pv3ebcyHPUpyHj4rV+RMkv3KaojZS8OIeOiKBJmV+l5fYqQJuWWZR4JF8A9uw7mXZP37DqIf7776qkutufSFsfdw4797l0HsWddM6rL0I7JEstNvGR53T/1kuNwdCYNuDyTxu1ygc6kgfpoaEyx7KUgX0ehkILfqc0fk9SGNYRC/h+TcA78xfdfLxiTBGXVZDIz1EfvKmQDAAAgAElEQVQ1fO2mxVAYQzyk4Adrm2G7mcTOhOkUtENez7eNB+cCx7sSMGyOirAK2/1/7N17dFzVnSf67z5P1UOypLKkGMvYQMCOw4iOpYCB6QRC0ivdIaEZO9AEYXAnNsa5SYa5Q8iavm4yQ7JuHJNmQvf42WnAmA4QOwx9k5uEbm64yQDuYEFwcgkmTYyxSbBsPWypqlSnzjn7/lFSoZKq9Kyq86jvZy0vrLKk2pz6nb1/Z5/f2VtCWg4ydhpt9ZFpV2Wqq9NwTqOJxzauxjtnRtCXtPCNH72Gl48P4tU/DOGxjasR013fjwVEROQfritx5J0hbHjkEK44P4GNH74AKcuGKgSGM1n84cwwliaiWJaIzWv1QCsrIQB8d8NqnDybG8Pu+8mR/Bj2/TuuQKvfb1gRlZCIGViaiOZXpL7vJ0dw73UXY9nCGGKGioVxE4oiJl1P6poCx3WRybr5FW+efrUXQO56bcu1K3H3gcP47obVMLTptwojmo3WuIkvXHMR/na0yC4RM9BSb2JRfS5eTw1l8vcmTgyk8c0f5+L6/JZYyfmQsZXhx+pXFSHQn8xgYdys2pyE/2doqkgRwIXvWYDP7DmYL1bYuqYDXFWRSrFsp+iKOF5W3AoBfGh5G9Y/9GJBHAfhvoACFN2uIghTNpbzbnIC5OLgzideCUSBi1pimxDV485PTAjaiV/71VR72fqdgCw6DooAPAFecmU46U3bmVPQXPgtrwhyTkE0Zihj4feDGdwxblnwHd2dUBqBJm3qidWsU3z1y2wNrC6ULTGuZquUz7TGTezs7sSmcZ/bzu5OtMaDc4O7nIYyFk4PZyfFcZ2mTBvHXgv6eVRXp2FxAIqbJgryqslUO4azNs6msvmiprFc81tPv46v/OkKX+XFc9WfzMB2XThS4qZx14b5Pjw2fR9eb+gYGhnB2p0vFLyeOx4uTg1nsKjR508nERGRb5wezuQLnbovX4rbHvxFwTj83V8cw4Y/Ph8LohoSMxinSmmJmxixHfx+MI0bdx8s+LcTA2mMZIM1phONpygCyxIxLIhqeGzjariuhK4qaImb+SJ0y7LxRl+yYJu6bWs7EDVULIgYRXPdxoieu5ckJRIB2OWEgkXXVaxojeOeT74/X4DXGjeh67nCuon3Jl4+Poj1D72I5+6+GotLPPk8tjL8+Gu67TevgiJQtTmJINQQVI1bYlUIzgVRKcbonqvj5VYi8q7ittTqJh7d75+VdIntKtIB2KIhyAUuI6W2CfHwuGezDl7rHcaNuw/iw9uexY27D+K13mFkA3ARpI3uZTtee1PE8+KxmQjyOKiUOO6KR1UZQT6W5B2/5RVBzimIxqQsN18gAoyuULSvBylr+jzH63Ny4tYC1cwrVY/zGVVVENULl7uO6gpUtTanMOYTx17z+jyqVSVz4wBck1DtKLaK4N0HDmPTVRdgMJ0NRd8xYrtQFXXSCnez6cN1XS05z+C4EiO2G4i5JyIi8od0Nncze8OHzp80Pt194DDWdC7BnU+8gpF5XmtomgJTVfJbfY3X3hSBEILjFwWaoggkYnVob4ri3EQMixojBattnkpa+UInIHeO3bX/MPqTWdiuLHpejOXAmiJ47UYVoesqFjdFsTQRw+KmaL7QCZjb/E2qyDXd5kdfgitRtTmJ2pwpLIFPvtFsJWIG9qzrKtizcs+6Lk8rbv22uslsjN+u4sbdB3H7Iz04NZwJRJFIkAtcSh13L5Op3uFM0Rs6vcMZz9o0U6oicP8NlxT0C/ffcEkgYsEO8Dioja5QNv64b1vbAc2j486cgubCb3mFI4ObUxCNKTW22TPoj708J11X4sjJIVy//TlcufWnuH77czhycqhqk8GGqhQdV40qFRudHs5g3YMvYv1DL+LG3Qex/qEXse7BF3E6ALlgJcwnjr3mt7GtVnh9DhNNx3Vlyb6tMaLjQM9xbL95VeD7DseVJZ9qnk0f3hBRsKO7s+B4bL95FfYfegtvnk7W7PhIRESzN/Zgi6qIKVeWKcccZiJqYElzZFJeev8Nl+CdMyMcvyjUSuW6UUNF2rKxa0Jut3VNBw70HMeuGl7Vmrw1l/mbqe4pVmtOInhrcVfQWLHCxP0DvbpRSv6nKALL2+rx5OYrYdkODE1FImZ4WiSilohjNQB7zhgltlMzAnAOaorAru5V6B2yEDVUpCwHrfVGIPoPvcRx1z1se5Bv6AgAhpZbiWAsFgxNgf8jofQ4GIRCLUUIRA214LhHDdWzlZ2YU9Bc+C2v0ESJOA5ATkE0Zj79sZfnZF/Swoa9hwoKvzfsPYQnN1+JlvrKT3qZukBLvVkwrrbUmzD16pz/6ayDlriJLdeuRGNEx2A6i53PvlGzWx0EOa/w29hWKxzpoimmF5zDTTEdjvT/amAUXq4rMZDOIG25cEa3TSjWt7XWm7jp0qVojOrYv+lyOK4MbN+hKwJZR867D48ZJs5tBh7buBqWnTt++w+9hWsvWYzhjA3H5blNREQzY6gKdnZ35lfdmDg+ja0sU44x1zQ1LGowEDVUPPLZS+G4EqeHLTRGdZwetjh+USjYtove4QyyjgtNEYiZKhrqjJK5bspykLIcvH9xAx793GUYTGURNVRYjou/+sRKRA0VgyM2EqoSuNyXgm0u8zel4tyRctK8YqXmJPhI1zgxMzfIj68y29ndiZjJw0SlKUruRsDipiha6k3PBx9dE5Oeftt+8yromv8HRU1796bK2HYVLfUmtAC03dAEJAS2PPVr3Lj7ILY89WtICBgBaLupK1gYNwqO+8K4AVP3ru/TFIE/WdmKXbd04vGNq7Hrlk78ycrWQNzQaY4aiJqFtcRRU0Nz1P9PoLbEjElPi+7o7kRLAJ6eXWBqRY/7AtObum7mFDRXfsorGMcUBnFz8koIO7o7EZ9hHHt1Tlq2U7Tw27KrU+wTUYsvUV3q9XIzNQVf/dTK/BNfhjr6tVab/c9849hrfhrbaoUCAQFgSXPumC9pjkKMvk7kBdeVeLMvidffGcZfjG5X70g5qW/b2d0JQ1NwYVscJ89kkLIcLFoQCWzf0RwxYBSZp9tx8yqYsxjTFEUgphswVAW9Q7mVuK9+33swnLGhqwosRyJbowXBREQ0O81RA4m4joY6ddI4PLayTDkfQI8YBjRFwcmzGYjRh+dOD1v58cuy7LK8D5EXbNvFayeHcMOuF/Dhbc/ixt0H8VZ/Gm8PprAwakyaV922tgPNMR3NMR1Z20XMUNEcM2BqChZEdAxnbLz01iD+6snDVV3dm2jMbOdvTE3BjiI1Caoi0BDRJs1JiArMSXBlp3FsB2iOafjuhtVwpYQiBFRFokrzyURlkbUlfvjK23jwtg9CVUT+aa91V5znddOmNZKV+F+v9+IjKxdBSgkhBP6fV/+AP7n4HK+bNq2RrMSmCduubdrXg+/dfrnHLZte3NBxVrexpDkKRQCuzBVvxQ3dszZFDQVfuOai/FZ2Yzd0oob/b+jouoplTVFEdRX26NOqrXGzYO9bvzIMDctbYnh84+p821tiBgzD/+nCWcvBth+/hjWdSxBF7kmIbT9+DV+/vgMtHhQ8MaegMGAcUxjEDANtDRKPbVwNx5VQlVwxeszwdyGvoalFn4wytOrkE6eSFm578MVJ7//4xtVYXIW8QBECKcvBlqd+XbDyqFcrNnpNQqCtwZgUx5KFK1SCANCfzOKu/T0F51BTxN99H4VXX9LCsb5Uvl8HgC9995fY0f2B/PWnqghoCvDXT/1/ePrV3nzcNkZ1NMeCuZVHXZ2GBBxEdDXfh0sJCCGhqbPrwzVNgZQSrfUmvvGj3+DWK87D3QfeXaF7V3cn3reoIZBFYUREVD2apqAlVoczIxYWNZh4fHR8EkIgmcnipkuXYkFUh1amB00URXD8otDqHc5Mui+4+dGX8ND6S3HWcnBuog5P3H45bMeFouTKPH4/OIIFUQ3prA1N0WGoAqeHs7h93L2wrWs6cP8/H8nd26jC6t5Ec6WpuaKmfZ+9DELkdp8yNQWudPFGb3LSjkJN0fLHs//vXlZR2nbx3/6vV7Gmc0l+qfwDPcfx1598v9dNI5oxTRH40PI2rH/oxYKBMQgr4qgCuPA9C/CZPQcL2j7L+R9PWI5b9On7rOP/pVgH0ll87QeT+z4vE6mk5eYLnYDcsbxjXw8e27gaTTFPmjQrqqrkbkaOLvWoVmAf2koxDK0qNzHLzbIdPP1qL55+tbfg9Xs+6U1VBnMKCgPGMYWBpilojpjoHc7ARa5orzlilm3itlISMQN7//JSHOtL5Zd7XpqIIlGl1Ra93lI467j5CZGx975r/2E8vnF1Vd7fbxrqDLw9mELGllAEkHUkpBRYGKvzumnkU5Yr8eBzRwu2gnzwuaMcw8kzlp3bZnz82PLy8UHcse9l/N1nPgBDU+C6EicGRrCmcwlODVl4+fjgu31/AOYBSokYBvpT7/bhrgRMTaChbvZjesZxcSadxZrOJbj7wOGCLV97hzJY1GgFtjCMiIiqR9MUJOK5awnbdnFqeAQjtgtNVRAxVNRpKhrLWCSfdSXHLwqlbIn7gorI5b+JWARvDwzh306ewaqlCdiuRHtzBJbtjhbAC2iqyBc6jf383QcOY8u1K6u2ujfRXDXUGRgasZFxctc6qiKwcW8P/uaGS4rOSdxTgTmJ4N3NrCBFAJuvfi8GklkAuaXyN1/93kAUWhCNURQFDz9f2IE8/PxRfP36Dq+bNq0gt11XlaJP32sBKHJxXbdo3+d6uGe2U+IGWxCW7XRdiSMnh7Bh76F80d6edV1Y3lYfiCdUxu8xrasKWuP+vyEMeL8CxkTMKSgMGMcUFpqm4JzGiNfNmL2JaU8V0yBNEcVz2yrlMo4sngs6/k8FK0JRBBY3RtGXtGCNFtMnYkYgckvyBsdw8htDyxXuThxbTg1noCoCwxkbx/vTiBoqDFXBPZ9aif/6T6/i5eODge/7y9mHa4qCwVQWiZiBlriJez61Mn+eA0B/0kJjhOMDERHNnKYpaGuI5MepC1riZb/WMDWV4xeFUqn7grndU1QoisDytnosjJsQkNBciaFxeW/KcrCkOYKWuFnwO04MpJGIGZ7d2yCaqYnXOsDoNZ4qis5JVKKfZ7HTOJpQENEVxMdt5eS4DlTh/5u8RGMSMQNbrl2Zf2IsMVolX62nwOcjyG1vieX23900bqnJnd2daAlA24UQSBfZJkR4uE1IRC9euFIXgK3g+pIW7v/nIwVFe0FZctS2XbzZnyxItlPNNpY1x3xf8JSIGdizrmtSkZlX/QdzCgoDxjGRdwbSGWRdp2Cb4azrYCCdQaIKq/m0xk08uP6DODEuJ2hvjqA1Xp1cpq5kLli7/Y+iCN/nkuQfHMPJbxIxA0sTUWxb21GwlcHO7k7oqkAyYyNiqEjEDbQqApoi8NVPrcTn//HlUPT95erDW+MmUs02FCHwX/7sfUhbDg6+cQpru85FS72Ario4O5JBY5Qr/xER0cxV+lojETOwtDkKCOC//Nn7iuap1brWJSqn1rg56b7g9ptXwdRE/r7E+POrP5lB8qyd//mIocLUFHzrhkvw295h7Hz2Dbx8fBDtTRG01puBuDdKND7Gs1kHO7o7oQpRYk6CxU4VJRTAsiXuePQX+U5px82rwLkgChLXlTiTticV3SxqkL6vjHddiYztTqpqdl3/t/2slYXjurj3uovzbXdcF2etLBI+L9DJOm7VlhOcqYVxE3tu6cKGR8YVrtzShYVVusE2H47rTtp7fOuaDk9Xypqp/pSFU0OZSYVvDXU6Whv8f7EZN1U8tP7Sgq0BvMKcgsKAcUzkHdctfv5VK51QVQW2LQtygj23dFVta96FMbNoEfNCbm1ANCMcw8lvFEVgWSKGBVENj21cDdeV0FUFLXETp5MZ2K7Ef/7eKwXXoS31Jvau/yD7/nE0TcGy5hjOjFjQVQX7XjiKay9ZjPUPvfjuud7diYiqwTQ57U9ERP6gKALLFsZwJp1BvE7DO2dGsHl8ntrdCX/f/SEqTtMUrGirxxO3X46s40JTBGKmioa64iuVZW0XqSILD3zzx0dwajiDrWs68PDzR/Glj16EcxZEfH9flGgiXVexojWOwZEsrGSROYkKhDSnOcaxbBd3PPpSwb6Ydzz6Eizb/zeoicb0DmfyhU5ALo437etB73DG45ZNb3yhxY27D2LLU7/GqaEM+lOW102bVtpy8fl/fBnrH3oRN+4+iPUPvYjP/+PLSFv+7z8UBbj1ivNw7w9exY27D+LeH7yKW684z9NESlEELmyN44nbL8fP7roKT9x+OS5sjQciuXNcmS90At7dY9kOwBZ8luPmn7IFcm2/a/9hWI7/43gglcGJgTRue/AX+Mi3/l/c9mAuiRpIedP3MaegMGAcE3nH6/OvL2nh/n/JrVT5+MbV2HLtStz/L0fQl6xOXj621PuTm6/Ec3dfjSc3XxmYLYGJ/MDrPoSoGEURSMTq0N4UxbmJGBY1RqBpChxX4kuP/XLSdejx/jTqdJV9/wSapiARr4MrJW64dOnkc31fD04HYB6NiIhqi6IINMXqkLVdbC4ydqUsFzZzVQogTVNwTmMESxMxLG6KojFqlsxfs64sev9l01UX5O8jffnj78OiBXW+32mDqBRdV6s6J8EzZRzblQXL5AO5gx+EG9REY7KOWzSOswEoVghyoYVTov9wA9B/SCmKFudID5vuuhK/7R3GDbtewIe2PYsbdr2A3/YOB+J4lhpLnAC0PchxnM4W7z/SWW/6D+YUFAaMYyLveH3+uaMrVU4shq/mSpVjy2Avboqipb70ZCERTeZ1H0JUjOtKDKYyeHsghWN9Sfx+MA3bdkvGa9RQkWXMlqQpAqoQJc/1IFzHExFR7Sk17lu2i1MBeGCfaDzbdvGHwTSO9SVxYiCFvuTIlDlYqfsvjRE9//e+4QzSllPRdhNVWjXnJFjsNI6mCLQ3RQpea2+KQOOkKgVIkOM4yIUWhqoUPe56lbb6mA/HLV4g52VxzunhTH4Lu7H2bHjkEE4H4IKn1DmoBuAcNLQScRyApwhK9R9exXGQ+2KiMYxjIu94ff45EkWL4R3/p+VEBO/7EKKJXFfi7cEU3upP48bdB/Hh0YeaXjs5BLVEvKYshzE7hTpDgaYWP3aKEIGYPyEiotpTKk91XBmIB/aJxti2i9dODuHTu17Ah7c9i7/YfRCvvzOMN/uSJe9p6iXifzCdzf89ZTkwNLXi7SeqlGzWqeqchP/vXlaRoSnYfvOq/MFvb4pg+82rYATgJi/RmDq9eBzX6f6P4yAXWkQMBTsmHPcdN69CxPB/2xVRanLMowYBSGedooUrI1n/V7S3xk3s6O4sjIXuTrTGTY9bNr2WmIldE9q+q7sTLTH/t133WcEhcwoKA8YxkXfqSpx/dVU6/6QsXkQsvVz6k4hmjGM4+U1f0kLGlpO2rdm0rweaInD/DZcUxOu2tR1Y0hxBS8zwstm+1hQxS57r/clMIOZPiIio9tTXKZPmzrffvAr7D73F1XwpUHqHM9i0r2fSThPH+lLoSxbfUjhqqpPuv2xb24Gdz76Rv6e4NBFFgjkwBVjvcAa6Kqo2J6GV/TcGmONKmJrAQ+svhSIAVwKO6wRi6yGiMbYjYUyIY9t1YAfgMWwFwH+/8Y/wHx//JU4MpNHeFMF/v/GPAlGVmcw4eOSFY3jwtg9CVQQcV2LPz36HL330QjRGvW7d1CKGim1rO/JbgI0lWBHDu+rxsSc7x99ka2+KBOKCR9dVrGiN4/GNq2G7Epoi0Bo3oev+r8bXNAXL2+rxxO2Xw3ZcaKqC1rgZiP2hW2IGdnZ35i8w2psi2Nnd6dnkOHMKCgPGMZF3LMdFRFcKzj8p3apt72xoatFcjE8XEgUDx3DyG8t2oAgULaQFcgV69336EiyMG1AVAU0RiJkqDINT16UoikCjqWEkqk+aA/ybp3+Lv/7k+71uIhER0SRx00R7I/DdDauRdVw4rsT+Q2/hqhVtXNGRAiXrFN8xJWqosOziRecNdQasBhePfu4ynBrKFadrioL7brgEp4YyaGuow8K4GYj7YESl2K7EW/0pNMf0SXMSlQhtXjGOIwCMZF30JzOIGipSloPmmI7GyLQ/SuQbiqLgb55+HWs6l6AxomMwncWBnuP4+vUdXjdtWoqiYPfP3sCWa1fm2777Z28Eou2GpuL53/XhiZ4T+dfamyK4S1vhYatmpjFioK2hDvded3G+72trqENjxLvqcV0RRQuw9IAkebquYnGTz6vcStA0BecEcODTdRXLfVRkxpyCwoBxTOQdVwLbfnJkUk5/T5VuXCZiBvas68KGvYfyudiedV18upAoIDiGk98Ymop01i3+UJMQqDd19CdT6Bu2kLIcLG2OorHR/ysMe80wNMQMG7Zjoz9poS9p4UDPcay/8rzAzJ8QEVFtURSBrAP0JzPoT2YRNVSsvqAFUUMFRy4KkrGdJibmtlNtQ6coAgtjdRjScis/nRrKoC9pYc/P38CdH1vOQicKBU0RePC5o9h89XsxMG5OYklzBE3R8l/jsdhpnOaogbMZG/3JbP61qKmhOcoJXQqORMzAnR9bHsgbE0Fve1BvCCmKwLJEDPV1Oiw7l4glYoanSVVz1MDZerugAGthvcn+mKbkpyIz5hQUBoxjIu+0xk184ZqLcMe4FQuruS2uoggsb6vHk5uv9E1+SEQzxzGc/CYRMzCStbH95lX5rezGVuNtjhpYGDdRH/HPnESQNJg6+lNZDI3YaIzouOnSpZw/ISIiX2uK6DgzkmWuSoHWGjcn7TSxbW0H2hrqprwvqCgCCyIm6k0DUUPDogV1WHVuB/NfCo2xOc2/fSa3MEu9ouH8lhgW1VemmM9XxU5CiH8AcC2AXinlxaOvNQN4HMAyAG8CuEFKOSCEEAC+DeDPAKQA3CalfGk+76/rKpY2RhDV1fyqEC0xIxBbDxGNCfKNiaC3/cKWOJ64/XJkHRf66PZfQWg7kGt/S71/nprUdRXLmqIF/XFQtoIj77iuRF/S8kX/wZyCwoBxTOQdXVexvCVWsGJhtc8/v+WHRDRzHMPJbxRFYHFjFPV1Vn5s0ydsm56IGfnrub6kFZj5IK8Vmz9piRkYHLFhDWc8vzYmIiKaaOLYVacpEEKgl+MWBYimKVjRVo/vjd4TVBSBiKGgKRKc+4JElaDrKla0xnHvdRcj60o4rkREV6GVWPFsvnxV7ATgIQB/B2DvuNe+AuAZKeU3hBBfGf36bgB/CuDC0T+XAdgx+t85c12JE2dGcKwvlV9JJJOIYlkixo6JAiXINyaC2nbXlfjtqeFJKzstb6sPRP/hpyKRMaqq5Jb7HG2Tqiqetof8zXUljpwc8s05yJyCwoBxTOQdnn9ENB/sQ8iPFEWgMWqiccJivK4rcTqZQSrj4OjpJB545rc4NZwJ1JyK18avcuy6Em/2JQvO/6U8/4mIyGfGxi6OWxRkmqZg0Sz3CmfuS7VAVRUkLacqfbuvip2klD8TQiyb8PJ1AK4a/fvDAJ5FrtjpOgB7pZQSwEEhRKMQYpGU8g9zff/BtIWTZ0ew5alfFyw51xjV0RwLXvEFEVVPX9LKF1kAwImBNDbsPYQnN1/p++ItvxWJ+LVN5G9+OweZU1AYMI6JvMPzj4jmg30IBUWxa/+tazpw30+OBGZOxW94/hMRUZBw3KJawtyXakU1+/YgLJPRNlbANPrf1tHXFwM4Pu77Toy+Nmdpy8Fd+w8X3Ci9a/9hpC1nPr+WiGqAZTv5vmPMiYE0LNv//UepIpG+pMU2UWD47RxkTkFhwDgm8g7PPyKaD/YhFBTFrv3vPnAYm666IDBzKn7D85+IiIKE4xbVEua+VCuq2bf7amWnWSq2tIcs+o1CbASwEQDOPffckr/QkRItcRNbrl2JxoiOwXQWO599A07R30pUXTONY/KGoalob4oUFFu0N0Vy27D5nGU7Rfu+cidWs4lhvxWuzJYftwUMu2qdg8wpKAwYxxQG1cqNvRrTHSmL5kI8/8KD13dUSdUawxnHNB+uK2HZDr716UvyMfry8UGcGEijMaJXbU4lbHE8Pof4wJJGbLrqAjRGdEjkjjnnJsIpbHFMtYlxXJvGxq3xY9ZgOhvI8YoxTBNNnFNyXbfoXE81c9/pMI6pHKp5X0HkdoHzj9Ft7H4gpbx49OsjAK6SUv5BCLEIwLNSyuVCiF2jf//uxO+b6vd3dXXJQ4cOFf23vuQITg9loCoqFAG4EnBcBwvrTSRideX7nyQqXqw3Y1PFMcBCCy8Eedu1/mQGx/tT6E9m83unNsd0LGmOTrec4Jz/x6aL4VNDGVy//blJhStBWMYzyLEAANmsg97hDGxXQlMEWuMmdN37JHs6czzuFeuLmVNQFTGOKQwqmhvPletKvD2YQsaW+XPA1AQWN0YrPqb3Do3gP2x/flIu9P3NV6C1nuefT1UsNyaarTmO4b7siymcXFfizb4keocyWBg3oCoCmiLwt8/8G57/XR/uve5ivGdB3Vyuo2s+jsdyiJa4if9zzcXQxvUD1cpjaN5qPo6pspZ95Ydz+rk3v/GJ2Xw745hmpHdoBP/Hk7/Cf/qTiwrGLEMTaPd2zGIM07wUy3dNTcHDzx3Frp+/mf++9qbIfHLf6TCOyRNlvq8wZRwHYWWnfwJwK4BvjP73qXGv/29CiMcAXAbgzHSFTtNRAGRsic2P/iJ/o3T7zasCsdcf0ZigF1rYtove4QyyjgtdVdAaN6FpwTgLTU3BvdddnC8YMgPSbgmJlOVM2jtVFl8sryoSMQN71nVNiuNEzPCsTTNVagu+IBRqZbMOXusdxh37evLHfUd3J1a0xn1f8KQoAu9dGMPjG1cXFGp51e8xp6AwYBxTrTszksFAKovNj75UcA7E6zJoila24GhhzC3KTK8AACAASURBVCyaCy0s8772RBROHMPJ7wbTFvqGM/jP33ulYB7icx86Dxs/fD6aYwYaI3xwby7GcojcylkSn5vQD8TMDJr54AIREfnEwpiJr/35xXjnbGbSmFVvZtDEMYsCqlS+++kPnoujfSk8/Wov2psi2NXdiUWNdcx9KVSqOSfhq3kOIcR3AbwAYLkQ4oQQ4rPIFTl9TAjxWwAfG/0aAP5vAL8D8G8A9gDYPN/3T1lufiIbyN2g3vzoS0hZ7nx/NVHVnE5mihZanE5mPG7Z9GzbxWsnh3DDrhfw4W3P4oZdL+C1k0Owbf+fg31JC+v+4RdY/9CLuHH3Qax/6EWs+4dfoC9ped20aY1YLh587ii2XLsSj29cjS3XrsSDzx3FiId9n6IILG+rx5Obr8Rzd1+NJzdfGZiCvbFtAXfd0onHN67Grls60RI3A7EFX+9wJl/oBOT6jzv29aB3OBj9x7GBFF4/OYx3zozg9ZPDODaQ8qz/YE5BYcA4plqXypQ4BzKVPweCnAsRkfc4hpPfpS0Hdz7xSkGM3rX/MHRVQUOdzps98zCWQzRG9aL9wEhWIpOxPW4lERFRjqIIZB1ZdMxKZyVc11+7ExHNVKl8V1UE/uoTK/G/7r4aBzZdjota42iOeffQNlElVHNOwlcrO0kpbyrxT9cU+V4J4PPlfH/HfXdP8zEnBtJwfLbVH9FUMlmnaBxnsv6f1OwdzmDThEKLTft68MTtl+OcxojHrZuaZRc/7kEocFEU4NYrzsPdBw7nK2y3runwPLlSFOH7lZCKqdMVfPnjy3HX/neP57a1HajTfVVfXJRdYhy0A3BR2Z+ycGooM2mFsoY6Ha0N1X8CiDkFhQHjmGqd1+dAUHMhIvKe1/0X0XRKXXtKCZwdySJjO9xubR4URZQ8xhnbxclkBueoSmBWUicionCbaswaymSwIMLVnSh4psp3/+Pjv8Sp4Qy2re3AUL2NZc0x5mUUKtWck+CZM46qCLQ3FRZUtDdFoApeWFNwKKJ4HAdhfijruEU7v6zj/0ItUeK4iwD0H1KKfKETkDvmdx84DM6Dz03GlvlCJ+Ddiv2M7f8DqpUYB7UAdCCW4xY97pZH/QdzCgoDxjHVOp4DRBRU7L/I70pdex7rS+F4fxoZWwZipWw/K3WM3zydhGXLQKzgTEREtWGqMWt4xP/3hoiK0afIdzdddUH+/sXx/jTzMgqdas5JsNhpHCGArWs68gd/bHUTzgVRkChK8TgOwtNwQS60UEv0H6r/mw4pS1WY+784x4+CXLQXr1Oxo7uzII53dHciXqd63LLplaoU92qpY+YUFAaMY6p1PAeIKKjYf5Hf6aqCnROuPbeu6cADz/wWUUOFIhCIlbL9rDVuljzGigDsAMxREBFRbYgapfOCIOw4QFRMnaGWjOvGiA4gd/8iaqjMyyh0qjkn4att7LwmJfDw80ex5dqVaIzoGExn8fDzR3HPJ9/vddOIZkxVlKJx/LXr/53XTZtWzFSx/eZV+X0825si2H7zKsRM/xdaKCWO+9ev7/C6adMyNBXtTZGCQpH2pggMzf/H3Y/GivYmHs8gFO3VmwYWxh18d8NquFJCEQKamnvd7yJ68Tiu072JY+YUFAaMY6p1PAeIKKjYf5HfNUcNOFLi3usuRtRQMZjO4r6fHMGp4QxSlgNXgnMS86TrKlrjZtFj7EpAU/kMNBER+UO9aaAlXjwvCMKcOlExjREDGdstGteD6SyA3P2LlOUwL6PQqeacBIudxmmJGfjCNRfhjn09+UKLHd2daIn5/yYv0ZiFMRN3fmw5Nuw9lI/jPeu6sDBmet20aTXUGWiK2nho/aVQBOBKwNQEGur8fw4mYkbR454IQP+RiBnYs64rkG33o9a4iR3dnZPGkta4/89BRRFoq4+gL2nBsh0YmopEzAjEynAL4yb23NKFDY+Mi+NburDQo+POnILCgHFMtY7nABEFFfsv8jtNU7AwaqC1wcTtj7wbp9vWdiARN2BqgnMSZdAcM9BSb2LTuL5g+82rYGgiEHMURERUGzRNwQJTx8J6k/krhYaiCLTETPQ3WJPy3W/++Ej+7y31JvMyCp1qzkmIWtumqKurSx46dKjkv1uWjVNJC7YroSkCLTEDhsGaMCq7eVUOTBfHrisDWawAsO1emWPb5/w/N10MB10266B3OJMfS1rjJnSPVhiqJXOI44r2xcwpqEoYxxQGFY3j+eA5QLPA3Jh8ZQ79l2/7Ygov15U4PZzBSNaBogjoioCpK2iom/N8CuN4Att20TucQdZxoSkCdbqCBXUGNI0rCPgY45gqatlXfjinn3vzG5+YzbczjmnWfHb9zRimshh/z0LXFKgCSGZyua+hKmiOVjQvYxyTZ8rYp08ZxxUbJYQQVwL4KoClo+8jAEgp5fmVes9yMAwNizl5TQGnKAIt9cGsBGbbvRHktvuRrqtY3BT1uhk1x29xzJyCwoBxTLWO5wARBRX7LwoCRRFobajzuhmhpmkKzmmMeN0MIiKiaTF/pTAqds8iEfeoMURVVK0+vZLv8B0AdwLoAeBU8H2IiIiIiIiIiIiIiIiIiIiIiKgGVLLY6YyU8kcV/P1ERERERERERERERERERERERFRDyl7sJIRYNfrXnwohtgH4PoDM2L9LKV8q93uW0/h9zHVVQWvc5B7mRDQj4/feNTQViZgBRZnXlrhV48e2+7FN5G9+ixnmFBQGjGOqdTwHiCio2H+R37muxOlkBiNZB6oQiBgqGiO87q8W9hFERORnHKcoyCbep2iK6BhIZ31z34KoGqrVj1diZadvTfi6a9zfJYCPVOA9y8K2Xbx2cgib9vXgxEAa7U0R7OzuxIq2eg6iRDQl15U4cnIIG/Yeyvcfe9Z1YXlbve+TFj+23Y9tIn/zW8wwp6AwYBxTreM5QERBxf6L/K7Y9du2tR1oa6jDskSM1/0Vxj6CiIj8jOMUBVmxPHdndyceeOZ1PP1qr+f3LYiqoZr9eNlHBSnl1VLKqwF8duzv4177XLnfr5x6hzN44JnXseXalXh842psuXYlHnjmdfQOZ6b/YSIfcV2JU0MZvD2QwqmhDFxXet2kGQtq2/uSVj55AYATA2ls2HsIfUnL45ZNz49t70tauP+fjxT0x/f/85FAHE/yht/imDkFhQHjmGodzwEiCir2X+QHrivRe3YEx/qSODGQQu/ZEdi2C6D49dtd+w/jWF+K1/1lls06eHsghWN9Sbw9kEI266B3OJO/8QDkjv+mfT3sI4iIyFNjY9bbZ9I4NZRBS9wEwHGKvFEsh5qJYnnupn09WNO5JP+11/ffiMpt4vnSn7Kqdr1RiZWdxuwHsGrCa98D0FnB95wniVuvOA93HzicrzLbuqYDAsEotiAC/Le6yWwEue2W7eQ77TEnBtKw7JklQF7yY9sd1y3aH7uu61mbyN/8F8fMKSgMGMdU63gOEFFQsf8ib7muxJF3hrDhkcKVm87Wm1jWHCt5/RY11EDMowRFNuvgtd5h3DHuieod3Z1IxPSix992OOdCRETeKDZmbV3Tgft+cgQvHx/kOEVVVSqHWtEah66rU/5sqTy3MaIXfM2cl8Ki2Pmys7sTLXGz4FyoVD9e9pWdhBArhBBrACwQQvyHcX9uA1BX7vcrJymRnwgCcgf97gOHEZCFZYgA+G91k9kIctuFEGhvihS81t4UgRD+LtICAENTi7bd0KZO2irJcWXR/thmh0wl+C2OmVNQGDCOqdbxHCCioGL/RV7rS1r5Qifg3ZWbjven0TucKXn9lrIcT+ciwqZ3OJO/6QDkPoc79vVAShQ9/prKrYGIiMgbxcasuw8cxqarLgDAcYqqq1QONZNVaUrluYPpbMHXzHkpLIqdL5v29eCL11xY8H2V6scrMTIsB3AtgEYAnxz3ZxWADRV4v7JxXFm02tKRnA2i4PDf6iYzF+S2qwLYuqYjn8SMPXmg+r/WCYmYgT3rugravmddFxIxw7M22aX6Y87OUwl+i2PmFBQGjGOqdTwHiCio2H+R16Zaucl23KLXb9vWdmBpIurpXETYlJxbkRI7uzsLjv/O7k60jm4XREREVG2lxqzGiM5xiqquVDzO5GH8Ynnuzu5OHOg5nv/a6/tvROVU6nxZtjBWleuNsm9jJ6V8CsBTQojLpZQvlPv3V5Kq5FZmGf+BtDdFoAZgZRaiMWNVwxPjOAhVwkFuu6IoePj5o9hy7Uo0RnQMprN4+Pmj+Pr1HV43bVqKIrC8rR5Pbr4Slp17ijIRMzzdOlAr1R/7fDtD8o7f4pg5BYUB45hqHc8BIgoq9l/ktVLzOynLgaYq+eu372++AiNZF6oAIoaKxoi3cxFhU3JuRQisaKvHE7dfDttxoakKWuMmNI0rZhARkTdKjVmLmyJ44vbLOU5RVZWKR20GeWqx+xRNER1fv74D93zS+/sWROVW6nyp05SqXG9UYhu7vxVCPADgJiHEAxP/lPv9yqk1bmLHhKdadrBamALGb6ubzEbQ237nx5bj3h+8iht3H8S9P3gVd35seSDaDuQSsJZ6E4ubomipNz1PtNgf01z4KY4ZwxQGjGOqdTwHiCio2H+R1xIxA3tumbxy05LmSD4OFUWgtb4O5zZHsbgpiuaY93MRYTNVX6BpCs5pjODcRAznNEZ4A5mIiDxVasxqi5scp6jq5ns9NfE+haYpvrlvQVRupc6XhTGjKtcbZV/ZCcCh0f9eCWAlgMdHv/40gJ4KvF/Z6LqKFa1xPL5xNWxXQlMEWuMmdN3/q8oQjfHb6iazwbbTGPbHFHSMYQoDxjHVOp4DRBRU7L/Ia4oisPw99fj+HVdgJOtAUQQMVUFz1ODNyipiX0BEREHBMYv8hPFINHNeny+V2MbuYQAQQtwG4GopZXb0650Ani73+5WbrqtY3BT1uhlE8zJWNRxEbDuNYX9MQccYpjBgHFOt4zlAREHF/ou8pigCrQ11Xjej5rEvICKioOCYRX7CeCSaOS/Pl0o+SnMOgPpxX8dHXyMiIiIiIiIiIiIiIiIiIiIiIpq1SmxjN+YbAF4WQvx09OsPA/hqBd+PiIiIiIiIiIiIiIiIiIiIiIhCrGLFTlLKB4UQPwJw2ehLX5FSvlOp9yMiIiIiIiIiIiIiIiIiIiIionAr+zZ2QogVo/9dhdy2dcdH/5wz+hoREREREREREREREREREREREdGsVWJlp/8EYCOAbxX5NwngIxV4TyIiIiIiIiIiIiIiIiIiIiIiCrmyFztJKTeO/vfqcv5eIcSdAD6HXMHUrwCsB7AIwGMAmgG8BOAWKaVVzvclIiIiIiIiIiIiIiIiIiIiIiJ/KPs2dmOEED8XQnxdCPFxIUT9PH/XYgBfBNAlpbwYgArgLwBsBXC/lPJCAAMAPjvfdhMRERERERERERERERERERERkT9VrNgJwK0AjgBYA+B5IcQhIcT98/h9GoCIEEIDEAXwB+S2xNs/+u8PA/jzefx+IiIiIiIiIiIiIiIiIiIiIiLysbJvYzdGSvk7IUQagDX652oA75vj73pbCHEfgLcApAE8DaAHwKCU0h79thMAFs+74URERERERERERERERERERERE5EuV3MbuDQD/E0AbgO8AuFhK+fE5/q4mANcBOA/AOQBiAP60yLfKEj+/cXRlqUOnTp2aSxOIPMc4pqBjDFMYMI4pDBjHFAaMYwo6xjCFAeOYwoBxTGHAOKYwYBxT0DGGKQwYxxQ0ldzG7gHkVmK6CcAXAdwqhLhgjr/rowCOSilPSSmzAL4P4AoAjaPb2gFAO4DfF/thKeVuKWWXlLKrpaVljk0g8hbjmIKOMUxhwDimMGAcUxgwjinoGMMUBoxjCgPGMYUB45jCgHFMQccYpjBgHFPQVKzYSUr5bSnlp5ErVOoB8FUAr8/x170FYLUQIiqEEACuAfAqgJ8CWDv6PbcCeGpejSYiIiIiIiIiIiIiIiIiIiIiIt/Spv+WuRFCfAvAvwcQB/ACgL8G8PO5/C4p5b8KIfYDeAmADeBlALsB/BDAY0KIr42+9p35ttu2XfQOZ5B1XOiqgta4CU2r5AJYRETeY99XXq4r0Ze0YNkODE1FImZAUYTXzZqRILfdb3heURgwjikMGMdEVIvY95Efua7EYNpC2nLgSIk6XcXCmMlrzoBgv0JERF7iOER+wHyWap3fzoGKFTsBOAjgm1LKk+X4ZVLKewDcM+Hl3wG4tBy/H8gNlG/2J3G8P42ooSJlOUg121jWHOOASYES5KQvyG0PapGIbbt47eQQNu3rwYmBNNqbItjZ3YkVbfWBOfZ+4roSR04OYcPeQ/njuWddF5a31fs+HlxX4s3TSRzrT+XHwaXNUSxbGPN92wF/9R/MKSgMGMcUBoxjIqpF7PvIj1xX4u3BFLKORH/SQl/SwoGe47jzo8ux/D3+v16udcX6lWSzjXMXRGCalbzFQERExPyW/MF1Jd7sS2JoJIv+ZDYfi0uaI1jaFIWuq143kaiiSl/TXYTl72nw5Jqu7FciQohVo399A8BiIcTi8f8upXyp3O9ZLv0pCwNJC1ue+nX+BvX9N1yChjodrQ11XjePaEaCXLgS5LYHucCldziDB555HVuuXYnGiI7BdBYPPPM6vvqpi3FOY8Tr5gVOX9LKxwEAnBhIY8PeQ3hy85VoqTc9bt3UBlIZnBwaKRgHt63twIKohkTc3+Og3y54mVNQGDCOKQwYx0RUi9j3kR8NpDIYSGWx+dGX8nH5Pz6zCv/z5eP47B9fwNj0uf6UhVNDmYJ+ZfvNq3DWstGoCN7cIyKiiio1Dp0ZsXw/b03h0Ze00DdswXbdSbE4kLbQLIKzeAPRXAykMxhMZXHHuGu6b336Etz/L6/ja3/+7zy5pqvEGfet0T//A8C/Irfd3J7Rvz9Qgfcrm6zj4s4nXim4QX3nE68g67get4xo5nqHM/liISAXx5v29aB3OONxy6YX5LaXKnDpS1oet2wmJG694jzc+4NXcePug7j3B6/i1ivOg4D0umGBZNkOWuImdt3Sicc3rsauWzrREjdh2Y7XTZtWOuvirv2HC+L4rv2Hkc76fxwcf8F74+6D2PLUr3FqKIP+lDfnIHMKCgPGMYUB45iIahH7PvKjdNbNFzoBubj8/D++hBsvXQrHdeG6nIPwM8uZPF+w+dGXkLIcnEpmcGoow8+QiIgqptQ4NJxxOP5Q1Vi2g4Vxo2gsprMuzozk7lG8PZBibkShNGK5+UInIBf///v3XsG6y5dhJOvNPdCyFztJKa+WUl4N4BiAVVLKLillJ4APAPi3cr9fOdmuzH84Y04MpOGwM6IAsR23aBzbAZjUzAa47ZbtFG17EApcpATuPlCYnN194DDY9c1NxFDx5Y8vLyge+/LHlyNi+P8pRyfA42CxC9679h+G5VH/wZyCwoBxTGHAOCaiWsS+j/yo1PVmf9JC0nLxmz+cRdajCXKaXqnP79RQBr96+yyu3/4cjrwzxJt6RERUEVONQ6eT/n9YnsLB0FQ4EiVjcTjj4Prtz+HKrT/F9dufY35LoVNqrmHRgohnuxxVci21FVLKX419IaX8NYA/quD7zZuqCLQ3FW7Z1N7k3YdDNBel4lgNQBzrqlK07Zrq/2Ufda142/UALFkpUTw5o7mxHVm06MZ2/D/hV+oc1ANwDpa64PVqopU5BYUB45jCgHFMRLWIfR/5Uanrzb6khaGRLG7f14Pfnx2Bbfv/gbdaZJSY9+pLWmiM6LkVzh85hNMBWJ2diIiCZ6o8wqvVRKj2JGIGzClyolNDmYL7QsxvKUxs2y0512BoCvQQFjv9Rgjx90KIq4QQHxZC7AHwmwq+37xpisC2tR35D6m9KYJtazugcTKIAkRTBLauKYzjrWuCEcdRQ8H2m1cVtH37zasQNfxfaBHk/sPU1BKDk/9XIvKjdLb4Kl9BuOhqiRnY2d1ZEMc7uzvREjM8btn0InrxOK7TvYnjIPcJRGMYxxQGjGMiqkXs+8iPWmIGdk243ty6pgMHeo6jd/TG0KmhDHpZLONLLTGz5Oc3mM4CCM7cBxERBU8iopcchxTBHJeqQ1EE2uKlc9q+pFXw/cxvKUxycSyLzjUYqkBz1Jv7iFoFf/d6AHcA+NLo1z8DsKOC71cWUUPFvdddjKihImU5iAZg2yGi8RRFwcPPH8WWa1eiMaJjMJ3Fw88fxdev7/C6adNKZhzse+EYHrztg1AVAceV2POz3+FLH70QjVGvWze1tOXgmz8+UnDcv/njI/i7z3wAiHnduqklYgb2rOvChr2HcGIgjfamCPas60IiAAUufjRW2Ty+4CkoT1HruorlrXE8vnE1bFdCUwRa4yZ0jwqGZmNh3MSeW7qw4ZFxcXxLFxbGTc/axJyCwoBxTGHAOCaiWsS+j/xG11Vc2BLDo5+7DKeGMuhLWnj4+aO49YrzcN9PjuSfiG+t9+4ajkrTNAUXtcZLfn5AcOY+iIgoeExTQ1uDib1/eSn6k1Z+HFp/5Xks6KeqMgytaE77pY9ehG//y+sF38v8lsIk67j4/WC66FyDpgrP7iNWrNhJSjkC4P7RP4FQqvqXVcEUJImYgTs/tjyQhSuGpuL53/XhiZ4T+dfamyK4S1vhYatmxtBUnBrO4PZHevKvBWV1JEURWN5Wjyc3XwnLdmBoKhIxgxNUc2SoCrat7chvZfduZbP/VygDchPQi5t8Xl1YhKIILH+Pf+KYOQWFAeOYwoBxTES1iH0f+ZVhaFjSpCJiqEjETdx06VLc95MjODWcwdY1HXj4+aP46qcu9rqZVIKuq1jSFEXU0NDaYOIrf/o+fONHv8HLxwcDN/dBRETB40pgaCSLoREbjREdN126FFFDZY5LVTeW00YNDYsW1GHVuR1oiuj40jUX4dU/DOXvCzG/pTDRVQUPPncUm69+b8HrMVNDU9S7gr6KFTsJIa4E8FUAS8e/j5Ty/Eq953w1Rw2cHcmiP5nNvxYzNc+W3SKaiyAXrgR5haEgtx3IxU0Lq8vLojlq4Gy9WVDZ3FJvciypAj/FMXMKCgPGMYUB45iIahH7PvIzRRFora9Dts6BIoC/+sT78k/Ef/Gai9Dq4eq8NL2x627b1vFmfxI3XboUn/3353Pug4iIKo45LvlJsXsRxVbBZH5LYdEaN/HFay7CA8+8jjWdS1CvaDi/JYZzGuo8rUGo5DZ23wFwJ4AeAIHYrFvTFCxrjiFqaLAdF5qqoDVuQtP4RAoFi59u+M9GkAu1gtx2Ki+OJQQwDigcGMcUBoxjIqpF7PsoCHRdxeIFEeiqgtZ6E1/91MWM0wBhP0NERNXGsYf8jvkthZmmKVjRVo+vfupiX/XBlSx2OiOl/FEFf39FaJqCcxojXjeDqGYFtVALCHbbqbw4lhDAOKBwYBxTGDCOiagWse+jIGCcBhs/PyIiqjaOPeR3jFEKMz/GdyWLnX4qhNgG4PsAMmMvSilfquB7EhERERERERERERERERERERFRSFWy2Omy0f92jXtNAvhIBd9z3mzbRe9wBlnHzS0z54Plt4goGFxXoi9pBXIbOz+23Y9tIn/zW8wwp6AwYBxTGDCOiagWse8jvxl/vSaEgCoARVE8v26j8nBdidPJDEayDlQhEDFUNEb42RIRUflxzCEvFLv3AMBX9yOIqsFvcw0VK3aSUl5dqd9dKbbt4rWTQ9i0rwcnBtJob4pgZ3cnVrTVc0KIiKbkuhJHTg5hw95D+f5jz7ouLG+r931y48e2+7FN5G9+ixnmFBQGjGMKA8YxEdUi9n3kN8Wu17au6cDDzx/FnR9bzmv9gCv2+W5b24G2hjosS8T42RIRUdlwzCEvlLr3YGoK1v3DL3xxP4KoGvw411DRdxVCfEII8WUhxF+P/ank+81X73Am/+EAwImBNDbt60HvcGaanySiWteXtPKJDpDrPzbsPYS+pOVxy6bnx7b7sU3kb36LGeYUFAaMYwoDxjER1SL2feQ3xa7X7j5wGGs6l/BaPwSKfb537T+MY30pfrZERFRWHHPIC6XuPRzrS/nmfgRRNfhxrqFixU5CiJ0AbgTwBQACwKcBLK3U+5VD1nHzH86YEwNp2I7rUYuIKCgs2ynaf1i241GLZs6Pbfdjm8jf/BYzzCkoDBjHFAaMYyKqRez7yG9KXa81RnRe64dAqc83aqj8bImIqKw45pAXpoq7ia8xDinM/DjXUMmVna6QUq4DMCCl/K8ALgewpILvN2+6qqC9KVLwWntTBJrKJb6JaGqGphbtPwxNLfET/uHHtvuxTeRvfosZ5hQUBoxjCgPGMRHVIvZ95DelrtcG01le64dAqc83ZTn8bImIqKw45pAXpoq7ia8xDinM/DjXUMl3HivrSgkhzgGQBXBeBd9v3lrjJnZ2d+Y/pLF9BlvjpsctIyK/S8QM7FnXVdB/7FnXhUTM8Lhl0/Nj2/3YJvI3v8UMcwoKA8YxhQHjmIhqEfs+8pti12tb13TgQM9xXuuHQLHPd9vaDixNRPnZEhFRWXHMIS+UuvewNBH1zf0Iomrw41yDVsHf/QMhRCOAbwLoGX3t7yv4fvOmaQpWtNXjidsvh+240FQFrXETmsYn34hoaooisLytHk9uvhKWnXuKIBEzoCjC66ZNy49t92ObyN/8FjPMKSgMGMcUBoxjIqpF7PvIbyZerwkhoArg69d38Fo/BMY+3+9vvgIjWReqACKGisYIP1siIiovjjnkhVL3HgD45n4EUTX4ca6hksVO9wG4A8AfA3gBwM8B7Kjg+5WFpik4pzEy/TcSEU2gKAIt9cF8UtaPbfdjm8jf/BYzzCkoDBjHFAaMYyKqRez7yG/8dr1G5aUoAq31dV43g4iIagDHHPJCqVyW+S3VGr/NNVSy2OlhAEMAHhj9+iYAewHcUMH3JCIiIiIiIiIiIiIiIiIiIiKikKpksdNyFsZ0rwAAIABJREFUKeUl477+qRDilQq+X1nYtove4QyyjgvdB0tvEc2F60r0JS0unVhlPO7lxf6Ygo4xTGHAOKYwYBwTUS1i30fVxHgLN9eVGExbSFsOHClRp6tYGDM550VERFXFfINmy3UlTiczGMk6UIXglodEMxSk/raSxU4vCyFWSykPAoAQ4jIAz1Xw/ebNtl28dnIIm/b14MRAGu1NEezs7sSKtnrffoBEE7muxJGTQ9iw91A+jves68LytnoO4BXE415e7I8p6BjDFAaMYwoDxjER1SL2fVRNjLdwc12JN/uSOHl2BHftP8w5LyIi8gTzDZqtYvfstq3tQFtDHZYlYsxhiEoIWn9b9hYJIX4lhDgM4DIAzwsh3hRCHAXwAoAPlfv9yql3OJP/4ADgxEAam/b1oHc443HLiGauL2nlB28gF8cb9h5CX9LyuGXhxuNeXuyPKegYwxQGjGMKA8YxEdUi9n1UTYy3cOtLWjjWl8oXOgGc8yIioupjvkGzVeye3V37D+NYX4o5DNEUgtbfVmJlp2sr8DshhGgE8PcALgYgAfwlgCMAHgewDMCbAG6QUg7M9T2yjpv/4MacGEjDdty5/kqiqrNsp2gcW7bjUYtqA497ebE/pqBjDFMYMI4pDBjHRFSL2PdRNTHews2yHUQNlXNeRETkKeYbNFul7tlFDZU5DNEUgtbfln1lJynlsan+zONXfxvAj6WUKwBcAuA3AL4C4Bkp5YUAnhn9es50VUF7U6TgtfamCDTVf0tyEZViaGrRODY01aMW1QYe9/Jif0xBxximMGAcUxgwjomoFrHvo2pivIWboalIWQ7nvIiIyFPMN2i2St2zS1kOcxiiKQStv/VnqyYQQjQgtwXedwBASmlJKQcBXAfg4dFvexjAn8/nfVrjJnZ2d+Y/wLE9CFvj5nx+LVFVJWIG9qzrKojjPeu6kIgZHrcs3Hjcy4v9MQUdY5jCgHFMYcA4JqJaxL6PqonxFm6JmIGliSi2re3gnBcREXmG+QbNVrF7dtvWdmBpIsochmgKQetvhZTS6zZMSwjxRwB2A3gVuVWdegB8CcDbUsrGcd83IKVsKvLzGwFsBIBzzz2389ix0gtM2baL3uEMbMeFpipojZvQtEDUhFGwiFn/wCzi2HUl+pIWLDtXoZyIGVCUWb8lzVINHvdZ/c/NJoYB9sdUFRXtixnDVCWMYwoDxjGFQUVzY6LZmkPfV9G+mMLNR2Mt47gCXFdiMG0hbTlwJFCnK1gYM8M+5+UlxjFV1LKv/HBOP/fmNz4xm29nHFPZVTnfYAyHgOtKnE5mMJJ1oQogYqhojIT+vt14jGOaEx9d3wHTxHFQip26ABwEcKWU8l+FEN8GcBbAF2ZS7DReV1eXPHToUGUbTDS9eY2kjGPyiTnHMWOYfIJ9MYUB45jCgHFMYcDcmIKOfTGFAeOYwoBxTBXl12Kn8RjH5AOMYQoDxjGFwZRxHJTHWU8AOCGl/NfRr/cDWAXgpBBiEQCM/rfXo/YREREREREREREREREREREREVGFBaLYSUr5DoDjQojloy9dg9yWdv8E4NbR124F8JQHzSMiIiIiIiIiIiIiIiIiIiIioirQvG7ALHwBwKNCCAPA7wCsR65Y6wkhxGcBvAXg0x62j4iIiIiIiIiIiIiIiIiIiIiIKigwxU5Syl8C6CryT9dUuy1ERERERERERERERERERERERFR9gdjGjoiIiIiIiIiIiIiIiIiIiIiIiMVOREREREREREREREREREREREQUCCx2IiIiIiIiIiIiIiIiIiIiIiKiQGCxExERERERERERERERERERERERBQKLnYiIiIiIiIiIiIiIiIiIiIiIKBBY7ERERERERERERERERERERERERIHAYiciIiIiIiIiIiIiIiIiIiIiIgoEFjsREREREREREREREREREREREVEgsNiJiIiIiIiIiIiIiIiIiIiIiIgCgcVOREREREREREREREREREREREQUCCx2IiIiIiIiIiIiIiIiIiIiIiKiQGCxExERERERERERERERERERERERBQKLnYiIiIiIiIiIiIiIiIiIiIiIKBBY7ERERERERERERERERP8/e/ceJlV15wv/u/atatelLxTdrdIgeGtDHFAaDepcME4S30ji8YWokYsyGS4yb5xxEjTnZJjJHE+eiTEeEz0CymS8IEkwGMeZOJObxskbjVEgkXGIaBIwNEbobrqhu7qqdu3L+aO6ii66Cvpae+2q7+d56lG6oetXu3/7t9dae+21iIiIiIiIAoGTnYiIiIiIiIiIiIiIiIiIiIiIKBA42YmIiIiIiIiIiIiIiIiIiIiIiAKBk52IiIiIiIiIiIiIiIiIiIiIiCgQONmJiIiIiIiIiIiIiIiIiIiIiIgCgZOdiIiIiIiIiIiIiIiIiIiIiIgoEDjZiYiIiIiIiIiIiIiIiIiIiIiIAoGTnYiIiIiIiIiIiIiIiIiIiIiIKBA42YmIiIiIiIiIiIiIiIiIiIiIiAKBk52IiIiIiIiIiIiIiIiIiIiIiCgQAjXZSQihCiF+IYT47uCfZwkhfi6EeFsIsV0IYfgdIxERERERERERERERERERERERTY5ATXYC8JcAfjXkz/cAuN/zvPMB9AD4lC9RERERERERERERERERERERERHRpNP8DmCkhBCtAK4F8EUAfy2EEAA+CODmwb/yOIAvANjkS4BUs1zXQ3fSgmU7MDQViagBRRGMiYgCifWDyF+ynYOyxUM0FsxjqgbMY6omzGciqhasZ0RE8pO5VsscG9F4MLepUgIz2QnAVwHcCSA++OcEgF7P8+zBP3cAmFbqHwohVgNYDQAzZsyY5DCplriuh32H+7DqiZ3o6EmhtdHElhXz0dYSn/CiPdI8rmRMRKPBWiw/1o/TYx7TZKrUOcg2BVUD5jEF3WjaFMxjktVY2sbMZ5IN+3g0VjLVM+YxVQPmMU0GGe/h+REb0UhNRC1mblMlCc/z/I7htIQQiwB81PO8dUKIhQA+C2AlgJ95nnfe4N+ZDuDfPM/7g1P9rPnz53s7d+6c7JCpRnT2ZXD9xpfQ0ZMqfK210cQz665EUzx0qn86rmp+qjweR0xEozXmPGYtllMN1o9Jq8VEYzHGc5BtCqoGzGOqBpPWNmYeU4VUpG3MfKZJxj4eVcwk1jPmMY3IzM89V9H3O/Cla0fz15nHJAUZ7+FNQGxEI+VLLWZu0wQ7ZR4HZWWnKwF8XAjxUQBhAHXIrfTUIITQBld3agXwro8xUg2ybKeoWANAR08Klu34FJGcMRFRMLB+EPlLtnNQtniIxoJ5TNWAeUzVhPlMRNWC9YyISH4y12qZYyMaD+Y2VZLidwAj4Xnef/c8r9XzvJkAbgLwgud5SwH8GMCSwb92C4BnfQqRapShqWhtNIu+1tpowtBUnyKSMyYiCgbWDyJ/yXYOyhYP0Vgwj6kaMI+pmjCfiahasJ4REclP5lotc2xE48HcpkoKxGSnU7gLwF8LIX4NIAHg6z7HQzUmETWwZcX8QtHO7zuaiBqMiYgCh/WDyF+ynYOyxUM0FsxjqgbMY6omzGciqhasZ0RE8pO5VsscG9F4MLepkoKyjV2B53kvAnhx8P9/C+AyP+Oh2qYoAm0tcTyz7kpYtgNDU5GIGlCUcW2DWnUxEVEwsH4Q+Uu2c1C2eIjGgnlM1YB5TNWE+UxE1YL1jIhIfjLXapljIxoP5jZVUuAmOxHJRlEEmuIhv8MoImNMRBQMrB9E/pLtHJQtHqKxYB5TNWAeUzVhPhNRtWA9IyKSn8y1WubYiMaDuU2VEvRt7IiIiIiIiIiIiIiIiIiIiIiIqEZwshMREREREREREREREREREREREQUCt7EjGifX9dCdtKTad1TGmIhGi3lMRLVIttonWzxEY8E8pmrAPKZqwDwmolrE2kdE5D8Za7GMMRGNBnOYZMDJTkTj4Loe9h3uw6ondqKjJ4XWRhNbVsxHW0vct4IuY0xEo8U8JqJaJFvtky0eorFgHlM1YB5TNWAeE1EtYu0jIvKfjLVYxpiIRoM5TLLgNnZE49CdtAqFHAA6elJY9cROdCctxkQ0DsxjIqpFstU+2eIhGgvmMVUD5jFVA+YxEdUi1j4iIv/JWItljIloNJjDJAtOdiIaB8t2CoU8r6MnBct2fIpIzpiIRot5TES1SLbaJ1s8RGPBPKZqwDymasA8JqJaxNpHROQ/GWuxjDERjQZzmGTByU5E42BoKlobzaKvtTaaMDTVp4jkjIlotJjHRFSLZKt9ssVDNBbMY6oGzGOqBsxjIqpFrH1ERP6TsRbLGBPRaDCHSRac7EQ0DomogS0r5hcKen5P0kTUYExE48A8JqJaJFvtky0eorFgHlM1YB5TNWAeE1EtYu0jIvKfjLVYxpiIRoM5TLLQ/A6AKMgURaCtJY5n1l0Jy3ZgaCoSUQOKIhgT0Tgwj4moFslW+2SLh2gsmMdUDZjHVA2Yx0RUi1j7aCRmfu45v0Mgqmoy1mIZYyIaDeYwyYKTnYjGSVEEmuIhv8MoImNMRKPFPCaiWiRb7ZMtHqKxYB5TNWAeUzVgHhNRLWLtIyLyn4y1WMaYiEaDOUwy4GQnIiIiIiIiIiIiIiIiojHiCk1ERERElcXJTkRERERERERERERERFQ1xjr56MCXrp3gSIiIiIhoMih+B0BERERERERERERERERERERERDQSnOxERERERERERERERERERERERESBwG3siIiIiIiIiIiIiIiISCpj3YqOiIiIiKofJzsRERERERERERERERHViLFOIjrwpWsnOBIiIiIiorERnuf5HUNFCSE6AbxT4ltTAXRVOBy/1Mpnlflzdnmed81Y//Ep8ng8ZD5eE6kWPmelPuOY83iCc1iW3ynjGE6WWMrFMVm1WJbPXQm18lll/pyValPIdgxkioexlDaaWGopjxmD/+8/WTHI0jaeaDL8vsYr6J9B+v4dULPjFDLHJ3NswOTFV4k8lv3Y5jHOiVXJOGWsx+Ml6++ZcY3eSGMLWh7LfMxHIsjxyxq7bDks43GSLSbZ4gH8j2mi8tjvz1GKjDEBcsYlY0zABLUpam6yUzlCiJ2e5833O45KqJXPWiufc6LUyvGqhc9ZC59xKFk+L+MYTpZYKh2HLJ+7Emrls9bK5zwV2Y6BTPEwltJkiiVPhpgYg//vL0sMQVENxyronyHo8Y+H7J9d5vhkjg2QP75TCUrsjHNiBSVOWcl6/BjX6Mkc23gE/XMFOf4gx15JMh4n2WKSLR5AzpjGQsbPIWNMgJxxyRgTMHFxKRMRDBERERERERERERERERERERER0WTjZCciIiIiIiIiIiIiIiIiIiIiIgoETnY64RG/A6igWvmstfI5J0qtHK9a+Jy18BmHkuXzMo7hZIml0nHI8rkroVY+a618zlOR7RjIFA9jKU2mWPJkiIkx+P/+gBwxBEU1HKugf4agxz8esn92meOTOTZA/vhOJSixM86JFZQ4ZSXr8WNcoydzbOMR9M8V5PiDHHslyXicZItJtngAOWMaCxk/h4wxAXLGJWNMwATFJTzPm4ifQ0RERERERERERERERERERERENKm4shMREREREREREREREREREREREQUCJzsREREREREREREREREREREREVEgcLITEREREREREREREREREREREREFAic7ERERERERERERERERERERERFRINTcZKdrrrnGA8AXX36/xoV5zJckrzFjDvMlyWtcmMd8SfIaF+YxX5K8xoV5zJckrzFjDvMlyWtcmMd8SfIaF+YxX5K8xoV5zJckr3FhHvMlwWtcmMN8SfIaF+YxX5K8TqnmJjt1dXX5HQLRuDGPKeiYw1QNmMdUDZjHVA2YxxR0zGGqBsxjqgbMY6oGzGOqBsxjCjrmMFUD5jEFQc1NdiIiIiIiIiIiIiIiIiIiIiIiomDiZCciIiIiIiIiIiIiIiIiIiIiIgoETnYiIiIiIiIiIiIiIiIiIiIiIqJA4GQnIiIiIiIiIiIiIiIiIiIiIiIKBE52IiIiIiIiIiIiIiIiIiIiIiKiQND8DoAo6FzXQ3fSgmU7MDQViagBRRGMiWicmMdEVItkq32yxUM0FsxjqgbMY6oGzGMiqkWy1T7Z4iEiqlWsxxR0zGGSASc7EY2D63o40J3EO90DiBgqBiwHZycimJmI+lbQZYyJaLRc18O+w31Y9cROdPSk0NpoYsuK+WhriTOPJxkbqET+ke0aLls8RGPBPKZqwDymajC0j9cUC+H2q8/HrKlRREIqpkZDzGUiCqTTjaHINr410ng4NkREozXzc8+N6d8d+NK1ExxJMOTr8f0/3IfF7dORiBpIWTbOqjehadyUieR3ujYF2xJUKZzsRDQOvSkLh4+nseHZNwrF/N4lc9AQ0TElGmJMRGPUnbQKjSQA6OhJYdUTO/HMuivRFGceTxbZBuGIao1s13DZ4iEaC+YxVQPmMVWDfB+vKRbCZz/Shrue3sM+BxEF2kjGUGQb3xpJPBwbIiKafN1JC/f/cB9uuWJWUbv44eXteN8Zday3JL1TtSkSUYNtCaoYTg8lGoeU5WD9jj1FxXz9jj1IWQ5jIhoHy3YKOZzX0ZOCZTOPJ1O5Bmp30vI5MqLaINs1XLZ4iMaCeUzVgHlM1SDfx1u78NzCDR2AfQ4iCq6RjKHINr41kng4NkRENPks28Hi9unD2sVrtu5ivaVAOFWbgm0JqqTATnYSQnxBCHFICPHLwddH/Y6Jao/jeSWLueP5FBDkjIlotAxNRWujWfS11kYThqb6FFFtkG0QjqjWyHYNly0eorFgHlM1YB5TNcj38RpMnX0OIqoKIxlDkW18ayTxcGyIiGjy5bf1Yr2loDpVm4JtCaqkwE52GnS/53kXD77+ze9gqPaE9dLFPKz7d2rJGBPRaCWiBrasmF/I5fwyl4mo4XNk1U22QTiiWiPbNVy2eIjGgnlM1YB5TNUg38cbsBz2OYioKoxkDEW28a2RxMOxISKiyZeIGmiOh1hvKbBO1aZgW4IqiSNjROMwNRoqWcynRiu/57rMMRGNlqIItLXE8cy6K/HSXVfhmXVXcj/fCpBtEI6o1sh2DZctHqKxYB5TNWAeUzXI9/HmTq/Hw8va2ecgosAbyRiKbONbI4mHY0NERJNPUQTOqjfx8HK2iymYTtWmYFuCKknzO4Bx+v+EECsA7ATwGc/zevwOiGrL0GJu2U5h6Uk/J2TIGBPRWCiKQFOcN3AqifWDyF+ynYOyxUM0FsxjqgbMY6oWiiIwJRpCg2kwn4ko8EZ6fZZtfOt08bDdQURUGZqm4H1n1LHeUmCVa1OwLUGVJPVkJyHEjwCcUeJbnwewCcDdALzB/94H4M/K/JzVAFYDwIwZMyYlVqpdleqwjiaPZetEEwGsxUHB+nFqzGOabJU4B9mmoGrAPKagG22bgnlMMhpr25j5TDJhH4/GQ5Z6NtF5LMvnotrCekxBN5YcZr0l2UxULWZuU6VIvY2d53l/6nneRSVez3qed9jzPMfzPBfAFgCXneLnPOJ53nzP8+Y3NTVV7gMQTSDmMQUdc5iqAfOYqgHzmKoB85iCjjlM1YB5TNWAeUzVgHlM1YB5TEHHHKZqwDymoJF6stOpCCHOHPLH6wG84VcsREREREREREREREREREREREQ0+aTexu40viyEuBi5bewOAFjjbzhEREREREREREREREREROMz83PPjenfHfjStRMcCRERkZwCO9nJ87zlfsdARERERERERERERERERERERESVE9jJTpPFtl0c6c8g67jQVQXNsRA0LbC7/RFRBbmuh+6kBct2YGgqElEDiiL8DmtEZIxdxphIbrLlDNsUVA2Yx1QNmMdEVItY+0g2Q/trQgioAlAUxfd+G00M1/XQlcwgnXWgCgHTUNFg8ndLlcPrHhERTaZS9x4ASHU/gqgSZGtzcbLTELbt4s3DfVj75C509KTQ2mhi87J2XNgSZ8OYqEJkm6wwUq7rYd/hPqx6YmehfmxZMR9tLXHp45cxdhljGg3ZLva1QLacYZuCqgHzmKoB85iIahFrH8mmVH/tnsVz8PjL+/GXV1+AxqgOQLDvHDD5sQ/AQ89AFmu2nqg59y6Zg5a6MGYmooEYx6FgG+l1j+N1REQ0FuXuPYQ0BSv+6dWir503NYrOpMVrDVUly7KxrzOJ2yQaa+BkpyGO9Gfwr7/swKO3XgpVEXBcDzt2/g5TrjwHZzWYfodHNGJBnjB0qHcAGduDIoBU1kU6a2NaQ0T6+LuSmUJDBwA6elJY9cROfGfdFWiOh32O7tS6kxbu/+E+bFg0Gw2mjt5UFvf/cB++eP0cNMVDvsVU6ng+s+5K32IaKdt2ceBoEgePphAxVAxYDgam2Jg5JRqIRm1Q64dsecw2BVUD5jFVA+YxEdUi1j6SzdA+/iXTG7B24bmIhTT8zaL3oy+dRTLj4N7vv4nbr76Ak/Ikl806ONKfge16UITAe8fSaIzqOHI8g6ZYCB09KXT0pLB+xx7cfd1FiId16cdxKPiO9GcKE52A3Dji2id34ak1lxeue0PH66bGDJiGho7eFAxNQVPUgK6rfn4EIiKSWKn7Vff/cB/uvOZ9uO8Tc9GbymLzi7/B/T/ch7/92Pvx3rE0upMWnt51kO1bqhq27eJI0sJ3JRtr4GSnITQFWHLpDHQMuUG95NIZYP2hIHFdDwe6knjn6EAhj8+eEsHMqfI/SXU8baFnIIt123YXZoRuXDoP8bCFhojcAyPprFNo6OR19KSQzro+RTRyruti9R+fi7/a/svCcf/qjRfDdf2L3bJLH0/LdnyKaOSODljoSVrY8OwbheN5/w1zURfW0Vwn98Q31/VwuC8F2wEcz4ObdXC4L4WWuCl9/XBdF7dcMQt3Pb2n6Elhv/KYbQqqBsxjqgbMYyKqRax9VGmnWy0l38f/zJ+ej49fMg2dfRm8dzyNh378Nj71h+fg6z/9LW65YhYeeP4tfOHjF3FSnmRc10NvyoIqPPSmHHT2ZQo38FZeOQvrv70Hnf0Z3LN4Dr7y/X34xcFedPTk6k8QxnFIfvkcTFkOHM9DWFcxNRoqjFVlHbfkOKLtnBgTOjpgobMvg2+++g5uuWIWHnzhbSxun45E1EDWcVFvqqgLh6Qf/yIiopGbqG12h96vumR6A760+CKEdQ2dfRn0prJ4etdBfO7/uRAhXcFNj7xSdH+C7VsKolL9uyP9GagKsGT+9EJbf8By8IlLZyCkCbiu50s7ipOdhvKArr5M0Q3qe5fMQX2Ih4mCo2cgg8N96eF5HNGQiMk90SKZcQoTnYBcp3Tdtt3YvnoBGiI+B3camhBobTSLOtatjSa0APSPXaAw0QnIHfe/2v5LfHvt5b7FpKtKyeOpq/KPzmcdF3c89XrR8bzjqdexffUCnyM7vb6Mha7+bNESlJuWtSNiqKg35Z5waLteYaITkDvudz29x7/jzjYFVQPmMVUD5jER1SLWPqqgkWwfZWgq1vzRTFz1vhYs/cefF90A+vpPf4sVl8/EXU/vwYZFs4smJ5D/XNfDge4kNBU4nnKKfs/3LJ6DR1/aj7ULz8WarbsKv8M1W3ehtdHEgJVbMZpoPPI5ePh4Gut3nHjAbcuK+WhriUNRRNlxRG3IOKLluFi/I5ejj7+8f9gDc5uXtaPedAKxwwAREZ1eqa3nxrrNrqGpaG000RQL4R8WX4SsA3zq8eFt2k9edvaw+xNs31LQlOvfJaI6FAh09VvDxhoihopj6QwaI5WfhyD/XeMKslyv0GAGUFhy13I9nyMjGrlU1i2Zx6kArDBku17pp3ACcA6qisC9S+agtTE3Oztf4NUAdI4tu/TTT1nb35wpdTyDoFweOwHI4/60U5joBOTivu3JXehPy/8kpiPZcWebgqoB85iqAfOYiGoRax9VUrnto470Zwp/JxE1sPyKWcP+3l1P78Hi9uk4oz6Mjp4UElGjaHIC+a87aeGd7gEIKGV/fw2mXvhag6kXxnDOTkSQiBp+hk9VIJ+DJ1/XVj2xE91JCwDQHAth87L2onHEzcva0Rw78eBeftyowdSxuH36sAfm1j65CxnbK/xMIiIKtlJbz63fsQfvdA+MutYnoga2rJiP268+H5qilm0TRYziSd5s31IQlevfuR6QLTPWkLFdDGR82mXFl3eVlGw3SonGIsh5HOTVfDK2iy9/bx82LJqNBlNHbyqLL39vH75208V+h3ZaqlJ6VSo/n2JKZZ3AHk+tzPEMwsS3oE84lOm4B7kWE+Uxj6kaMI+JqBax9lEljWT7KEURZfMyETWgDq6W3RQPFU1OIP9ZtoOIocLxyv/+8jcMWxtNTGs0sX31gjFvE0N0snwOlsq//DaJmqbgwpY4nlpzOWzHhVZiO01Tz63K0ZvKIhE1Sv48RYBbLxIRVYmhW8/ljXWbXUURaGuJIxpSYTvl20R9abvo62zfUhCV6985rgdv8P9Lfc8W/ow3yD+DoIL0wRulQ7U2mtDZKaMAyU8YGiooE4ZG8hSOrDRVQWd/Bmu27sKNj7yCNVt3obM/E4gZ24aqlFxFyfAxdj3Ax9M01JLH0zTkX7pdK3Md1AJwHYyGVGxcOq/ouG9cOg/RkD/HnW0KqgbMY6oGzGMiqkWsfVRJ5cahTu6/l+tvToka6Oq38PCydpxVFy6anED+MzQVA5ZTmJA2VP4G3uYXf5PbVmz5fJxVb2JaYwRToiFOdKIJkc/BUvk3dJtETVNwVoOJGYkozmowh9WSqbEQtiyfj6d3HcTUWKjkz3M9cOtFIqIqkd96bqjxbLOrKAKmrsH1ULZNNH2KWXR/gu1bCqJT9e+MMt/r6rd8u4/IlZ2GmGIa2LysfdgehFNMLrdLwdEULZ3HTQFYNnokT+HIqjkWwmM+7qnkAAAgAElEQVQrL8XBo7mZ4QOWg+lTzEBM1JoSMXA8HsLd111UiL0pHsKUiH85E+Tj2WAaaKkLFx3PlrowGgJwLWmOhbBpWXthK7vWRhObAjLhsC5soCnu4JurFsD1PChCQFNzX/cD2xRUDZjHVA3Gm8e27eJIfwZZx4UeoLYpEdU2XsOpkvIPrp2cbyf3I0v9vY1L50FTBWZMMRHSFagBeMCpWoy0jZOIGjg7EYEHd9h4weZl7agLq/g/N18CQ1ORiHIlJ5p4+Ry8d8mcwrYprY0mtqyYP6ptEhVFoO2MOL54/RyoileyHoU0Ma6tF13XQ1cyg3Q2N0GQK5wREfknv/Vcfiu7/EPpLXXhMdf6RNRAOmtj49J5WLdtd1GbyNAEptVH8cy6K2HZDoQQUAXQm7bRKAR6UllYtsM2E0nvdP27h5e3Y83WE9+7/4a5aIwaw/p/lRpT5WSnITRNQSKmD7tRysFsChJdV9HWHMP21Qtgux40RaA5FoKuB+OplPxTOEGjKAJZ28OGZ9840elePj8QDRZFEQhpCqZPiUARgOsBIU34GnvQj+fMRBTxsB64xquuq7gwwPWjd8Au6rxsWTEfLXF/YmGbgqoB85iqQTis4bxEtOjaljANhMOn7wrbtos3D/cN69xf2BLneUBEUuM1nCpppA+u5cernlpzObKOC1UROJq08Jff/CU6+zOFm08zE9FA9J+DbDRtnPwYR2/KQjykFbWp4qaKmGGgMcrfF02efA42RHRsX70AjgeEdQVTx7B6mKIINMVzN+JienE+RwwF9ebYVyRzXQ/7DveVvKnOukZEVHn5ree+s+4KpLMuVIFxT0JVFIFpDRHEwpnia0hIQX04dw1JRI1h14PNy9rxwPNv4Qd7jxTuW7S1xHltICmdrn/X1hzHt9dcDmuwT2eoChpNveg+YiXHVDnZaYgj/Rnc8PArRXsNtjaaeGrN5YGcfEG1S9dVTGuM+B1GTelOWli1dWehfnT0pLBq6048s+7KQidaVt1JC5/c8vNhtc/P2IN8PIHiwZOgCWr96E5ahQ4EMJgzT/iXM2xTUDVgHlO1CIc1TBvB5KaTHenPFDrlQO7asvbJXTwHiEh6vIZTpY30wTVdV3FWg4nOvgyu3/hSUY6u37EHd193EeJhPbD96aAYbRtHUQSmRHO/k8ZoRUMlAjAkBycw/wxDwzRj4m6PlRqXYl0jIvKXogg0x8MT/jMbI2GUu4VS6nqw9sld2LBoNn6w94jv9y2IRuJU/TtNU3Dmafp+lRxT5WSnIbKOi6ZYCBsWzUaDqaM3lcXmF38D23H9Do1oVFzXQ3fSCtyqMkBwY7dsp2iQDsgVb8t2fIpo5GSMXcaYRiObdXCkPxPI1ZGCSracYZuCqgHzmGodzwEiCirWL5Ld0P7bJdMbsHbhuWgwdTTHQ7BdF67rBWIsKAhc10NXfwaprFN48jrruCX7z6wRRGNXblwqYqjDxqY4bkhEVL3KXQ8aTL2o3ZuxHRw5nsaUiMEVeKnqVHJMgpOdhjB1FQ988mIAAo7n4awGEw988mKENDY0KThc18Oh3gFkbA+KAFJZF+msjWkNEekHioIcu64paG00hz05qwegkWJoKr6w6EJ8cPaZhS0OXtj7exg+1j5DU/Hh2c1Y3D69cCF8etdBX2MaqWzWwb4j/cOWZ2xrjgVi4MKybHQmrcKAS1PUgDGBT7pNFtlyhm0KqgbMY6p1PAeIKKhYv0gGpSbZ5G/mGJqKNX80E0svnwnPA1zPw3vH0viHf/8Vbr/6AtiOG4ixINllMjY6ByzYjgdVEXA9Dz0DGdSbRskxLE2VfwyLSEau60FXFTx666WIGGrhhl5nfwYDllM0NpXNOjjQM4COoylMjRkwDQ2HjqVhqALmkG2QiIjIX2OdmGpoaqGddUN7K9ZddR6EAFRF4KGll+AL//Jfhe3s7l0yB8fjIcycEuWEJwq0k8+XWEjFV26YA88TUASQiIXwlRvmIDwJ90jlv3tZQYYGHO6zcduQG9SblrVjeiMHgyg4jqUz6BnIYt223YU83rh0HmLhDBojE7tc40QLcuy6CmxcOm9Y7AGY24L6kIr2WVNx85ZXimpffci/4OtDKm6/+oJhE4b8jGmkOpNWYLe8sSwb+zqTw66DbU1R6Sc81YdUfPrqC4bF7lfOsE1B1YB5TLXO73MgqCueEpH//K5fRK7rYd97fYXt6U++mVNnqPjYxa24ecvPi76/7qrz8MDzb+HOa96H7qTFrT3GyHU99GUy6OjJYM3WXUXHOBEzkLJsbFrWXlQjNi9rR3OMx5totPIP7/YOZLHh2TeKzreIoSIe1pGIGoW/f3TAQldfBt989R3ccsUs3HbSWHJfxEFIVaAoCtv/REQ+yWYdvHmkf1h/6sIRPNCeiBrYsmI+/nn3QXzs4lYs+/rw9m5nn4VfHOzF+h178JVPzEXE0KS/d0RUTqnz5bGVlyJlOcPaOY0RfcLfn9MEh0hm3MIvAsjdoL7tyV1IZriELwXHQMYtTLgBcnm8bttuDAQgj4McezLj4rnXD+HRWy/FC5/5Ezx666V47vVDgagfnUmrZO3rTFq+xdQ1kC05YahrIOtbTCNVbjn4bACWg5cxF0ZKttjZpqBqwDymWufnOeC6HvYd7sP1G1/Clff8GNdvfAn7DvfBdb1Jf28iCj5ew8lv3UmrMNEJyOXg+h17cPBoCkf6M+gaGP6Q0Pode9CTzGJx+3ToqoDrMl/HIt+GOJ5yCxOdgBPH+FBPGpqqoiVu4Kk1l+Mn6xfiqTWX48KWOFcUIBqD7qSFjO0VbuYBJ863pngYMxPRoglLWdfD+h17sLh9Ou56es+wcXDL9vDLjmO4fuNL+NV7x2HbrIVERJV2pD9Tsj91pD9z2n+rKAJtLXGsuGJW2fbu2oXnFr7WUheCIsDxHgqsUufLwaOpYW2jddt2I2VNfLuGPZghbNcrvV85CwwFSJDzOMixKwL447YWrHzsNXzwvv/Aysdewx+3tUANwMM3Mh73IE8YUhWB1sbiWfitjSbUADyJJWMujFS52B2fYg/ysSTKYx5TrfPzHOhKZrDqieKbxKue2Imu5OkH1oiIeA0nv1m2UzIHI4YK23HL5mjEyK1kmHU8dCUt3vQZg3wbwvHKH2PX82C7wFkNJmYkojirweREJ6IxsmwHikDp667jDluZyRmsfw2mXvLfKAKF763ZugvvHkuxFhIRVdh4+1OKIk7Z3m0wc6vbtDaaONA1gF/9vo8PuFFglcr1iKFWbExC+l6MEOITQoj/EkK4Qoj5J33vvwshfi2E2CeE+Mh430src4NaC8ANaqK8IOdxkGP3PAx7Gueup/cgCG0TGY97kCcMmbqCe5fMKcSfX57U1KW/5EqZCyNVLna/cibIx5Ioj3lMtc7PcyCdLX2TOJ2Vf+I3EfmP13Dym6GpJXNwwHKgKqJsjg5YDqbGQkhZNtZs3YXuAKwyLAPbdvFubwrvdCeRspzBCRPlj7GqCG5ZRzRBDE2F66H0dVcdPhZo6rn62JvKlvw3rgf0pnIr23f0pHCkL4PupFV0nr/bm+KKT0REk2ik/SnX9XA0mcGhngH87mgSR/rShQlLp2rv5q8B9yyegweefxsRQ8WqJ3ay7UuBVCrXByynYmMS2oT/xIn3BoD/F8DDQ78ohJgN4CYA7wdwFoAfCSEu8DzPGesbxcIKHl15KTqO5mZWDlgOWqeYiIXlv0FNlNcUNUrmcdOQvcFl1RQ18NjKS3FwSOzTAxK7B6ApFsKGRbPRYOroTWWx+cXf+B3WiMTCapnad+q9hydTWFdw/w1zccdTrxf2c73/hrkIB2DCUGMkhNZGB4+tvCy3/KgHhDSBxoj8A4lBrh+qIrBp6Tx09VuF2KfGDN9u6LBNQdWAeUy1LmEa2LSsvWjP+U3L2pEwJ/+6qAqBLyy6EB+cfSZcz4MiBF7Y+/uKrhpq2y6O9GeQdVzoqoLmWIirPhAFBK/h5LdE1MCW5fMLW9nlHwI6q9HEwZ4UWuIGNi9rL2zt8eHZzfj8tbMhkHsSvjkewhXnJGDZYx7mrQmu6+F4OoNkJrdalqYImIaCD89uxrO7O4qOcf53MDUewlTT4DWdaIIkogbSWRsbl87DusHtWlobTWxe1l5yUuHUWAiPLG/HV3/0Fu5ZPKfw8Gxro4mNS+fBdp3CmHJro4nupIUz68M4cNRCTzKLsxrC0FWBw33pwnmfMA2Ew0G41UdEFAzNsVDJ8aChdd11PRzqHUDW8XA0aaE7aeHpXQdxx4fa0NYSR3MsVLItNq3RhIDAk3/+AWiKwMZl85C1XWz78w/AdV24rjdsVUAimZU6X6ZPMUve74+GJr4PIn0LyPO8XwGAEMNO7OsAfMvzvAyA/UKIXwO4DMDPxvpeigAyWRcbnn2jqFHKmkJBknKcknmcchwYkp/yKcdBOqCxm7qCO69pw/ode4oaLkGYnBPRNFh2uui4P7y8HRHNv2OuCqAhauDu6y4qXAgbokYgtgV0HBfHUnZRI3bzsnacEXehKP5NIBsJRVFg2e6wXFAU+fM4pOWSY2jsm5bOg6H5kzRsU1A1YB5TrQuHNZyfiGL76gUVv5EQCytonzUVN295pWhgrVITFWzbxZuH+4a1Zy5sifPmKFEA8BpOflMUgbYz4vjObVcgnXWgKAKGpuCdriQ+++3cQ01r/mgmnlpzOQQ8HE1msfQff140nrL6T85BxOA1pxzX9dCTyuDd3sywG3F/9/HZ+Pt/2QsA2L56AZzBm2a6IlAf0jkpgmgCKYrAtIYI4mGr0G841YMCiiJw4Rl1+F//7Q/geG7hHFUVAV0V+Jt/fgO/ONhbWPHj8Zf34w+mXYRkxoahCfRnssgkvaKJVZuWteP8RJTnNhHRBNF1FRc2x4rGg5pjIej6ifs7vSkLPQPZonp8z+I5uP+H+/DF6+egKR5CW3MM315zObKD25qGNQWH+zJYs7V4AtSXv7cPnf0Z3H/DXCQtBzMTUU54osA4+XzRFYG4qeCd7sywMYkSi16OW5B7jNMAHBzy547Br43Z8ZRbGMwFcsuErn1yF46nuCQoBUd/2imZx/1p+Z+GC3Lslu3h0Zf2Y8Oi2di+egE2LJqNR1/aD8uWfx+7rgGr0LgCUNgTvmvAvyUzBywX937vTVhOrv5aTu7PA5b89bgzaZXM484ALEHamcyUzIXOZMbnyE5vwHJx22DHAsjFftu23b7lDNsUVA2Yx0S5CU/TGiM4OxHFtMZIxW4g9Kfdwo1LYPC69uQu9Kcrc/4d6c+UPP+P9FeuTcCtOojGjtdwkoGiCDTXhTEjEYUAkEzbhdWbAeDh//8Abnj4Z3A9YM1J+bp+xx4cPJpCOiv/mIofXNfDsVQGaat0e8F1Be685n247JwE3jrcD9v1cFa9iZZ6k5MhiCaBogg0REKFfsNZDeYpHxDI18cz6yOY1hjBjMG+xpRICH9z7WzsWHs5Niyajcdf3o87PtQGRQBHk1kcTWahKmrhxjpw4rzvSlk4cjzFdjMR0QTRdbVoPGjoRCcASFnOsHp819N7sLh9emF1Ul1XcWaDiRmJKFobI8g63rD7L+t37MHaheeioyeFO556HbqqoKs/U9gOjygIhp4vLio7JiFF70YI8SMAZ5T41uc9z3u23D8r8bWSZ74QYjWA1QAwY8aMsnHYrlc46HkdPSnYLCgkgVrI4yDH7sHDLVfMKlp6+J7Fc+CVLktSsWy35HHPTnDHeKQ5nPu7KHk8hy/yJ5+sU+Z4OvIPNFQqFyZDufrhTHD9qIVaTNWPeUzVYDTtiiDy+/wr156xK9SeqYWVpao9h8lflaohzGMaKUNTkbFdNMVC2LBoNhpMHb2pLJ7fe7hsvkYMFWnbhW27k1r7g5bH6bSNjuMphDQVjlf62LmeB10VaG00YWgqElGDqwNUuaDlMZWmaQpaGyMwDQ1n1ocxb8YcJKIGDvYMIGLkbrIrAiXPe8t2kbI8rHzsNWxa1o6WuAHHBZoCtBU185iCjjlcW/LtsEumN2DtwnML7dvZZ8ZhGsN3+MhmHVhlxloaTL3w/4ePp5F1XPRnbF9WeGIe03ipSm6BkEqNa0rRyvE87089z7uoxKvcRCcgt5LT9CF/bgXwbpmf/4jnefM9z5vf1NRU9gdqSq4TOFRrowmNnUGSQC3ksaYIfHh2Mx5e3o7tqxfg4eXt+PDs5kDE7nkoTMwBTszi9gJwP1gtc9wnuhE10hzO/d1gH89S56AagDwuF3sQBkXL1Y+JPu61UIup+jGPqRqMpl0RRH6ff7qqlG6XT8Z60yXIsLLUZKv2HCZ/VaqGMI9ppBpNHWFdwZ3XtOHu7+7FjY+8gqd3HcSyy88um68egANdyUmv/UHK43TaRlfKQv4Z4HLHThECuqpgWmMETfFQIPr0ND5BymM6NUURaIqHis5fU1cxYDkYsBy4Hkqe9/mt8PIrPaWyLt58rw8Hewfwbm8K2az8OycwjynomMO1Jayr+PDsZnz2Iyfat3d/dy+OpWwkM3bRykzZrIM3j/RDEaXbbs3xUGHcpTtpYf2OPXinewDdPuwWwjym8chmHXT3Zys6rinFZKcx+hcANwkhQkKIWQDOB/DqeH5gNKRg87L2wsHPPz0aDQX5MNFkc10PnX0ZHOoZQGef/0sLhvXSeRzW5c/jWEjBp6++oKhh8OmrL0AsAOegU25VmQDMzglrCj79wfOLj/sHz0fYx6d+yh7PAKwmYuoKHrr5Ejx666XYvnoBHr31Ujx08yUwA3AOGqqC+2+YW1Q/7r9hLowK3dgcD0NT8NmPtBViNdTBP/uUx2xT0FjJ1K5gHhP5d06ahoJNJ51/m5a1wzQqc/6ZusCd11xYdF2985oLYeqVuVka5JUyaTiZrm21gtdwkk1PKovfHc1t05Gv74vbp2Pdtt3QteH5unHpPMxImIiHNWQdl7UDJyY6WbYLz/Pw5M/243g6O+zYbVrWDk0FmmMhnyMmookyNRbC2VMimBLV4bgONi6dV3zeL52HHTt/Vxg3bYqF0Je28c1X38GhnhQGLAfv9WVw5FgKmYzt50chIqoaU6MhfP7a2cMe2l/75C5kbK9ootKR/kxuq2HPG3b/ZdPSdiiDE0M+f+1svPX744VVTvPb4RFVynjHb/IPL1ZyTEKKbexORQhxPYAHATQBeE4I8UvP8z7ied5/CSGeArAXgA3gLzzPG9dZb9mAgIe7r7sIESM3W17Ag8X2H5Xhuh72He7Dqid2FrZX2LJiPtpa4r49NeW4HkKaKMrjkCYCMUkkabl48Pm3ipY0f/D5t/CFj78f9RG/ozs1XVXQ2mgW3ZRpbTShK/IPJtuuhwdfeLv4uL/wNv7ndRf5FlO+cXfy8QzC04hxQ4OqKNjw7BtF267EDekvuagPaWiIGkX1oyFqoD4kf+yu6+HYQLbouN9/w1zUh3Vf4mGbgsZCtnaF46JMm6LioRD5wnU97HuvD6u2Djknl89H2xmTf07GDR2JmItvrloA1/OgCAFVzX29ErIO0NmXKbqu3rtkDuoqdF3Nr9i4uH16oX369K6DXFkugPw8j2oZ26IkG8t2IFC89VKDqeOKcxJwXBctdSFs/dRl6O630J208Nzrh7Bo7jT81fZfStEu9ls6bePt7iRuG7K968al8/Ds7g5cP68V31i1AJ7nQVME4mEFEd0IzLZVRHR6iiIwc2oUvSkLWduFpgp8a/UCOK4H2/Xw1Kvv4Nq507DlJ78FANx+9fl44Pm38Kk/PAef+fbrRe35pngIdWEd9SENoQCM9xERySykKdj6Z5fB8Ty8dyyN+37wFn5xsBeKQNFEpfy2zQ+98Gus+uNZ+D+fvAT1EQMHupL422ffQGd/BvcsnoOv/egtfPqD5+M/3z2GAcuBoQ3fDo9oPLJZB0f6M7DdXN+hORaCrufybCLuTeRzvZJjEtL3ejzPe8bzvFbP80Ke57V4nveRId/7oud553qe1+Z53r+P972yjovX9nfj3OYYWurDOLc5htf2d/PpUSqrO2kVTnogN2iz6omdviwtmJd1POzYeRCtjSaa4iG0NprYsfMgso78k50A4JYrZhWtMHTLFbMQhGEsRaDkijhBGIPzPK/kcffgX87oisAjK9qLVkd6ZEU79AAc0O6BLB4YnLS3ffUCbFg0Gw88/xa6B7J+h3ZaXQMWdrz2u+L68drv0DXgX00bKdv1cMdTrxfV4zueen1S9gAeCbYpaCxka1eks27JNkU6yzymYEmnbRzqGcA73Ukc6hlAOj2ynnVXf6YwQQMYPCe37kRXBbZS03UVTZFQoS2pCKApcmIAYrJZjlu0+kZHT241DqtC17GIoZRcWSpSoZWtaOL4eR5NhLHWD79lHRdfe/7twjlrDf6ZbVHyi6HlBriHbmUQ1hUsu/xsPPbT/XDd3MTeqbEQ2lriuHnBTDz4wtvStIv9lE7b6E5ZiBoqHr31UtzQ3oqOnhTWbduNJfNnIKxrsB0XqiLQFDVQZ4Y50YmoCimKwJRoCC31JhKxMFpiIWiKgKYILL9iFp57/RCe2tWB1kYTM6dGsLh9emGiE5Cro4++tB9hXUUq66BzwMKR4+nAtG2IiGTiuh4OdCexvyuJ5f/0KtZ/ew+yjof/feNc/Pizf4KIocDQVGQyNt7tGYAA8NJdV+GvPnQ+6sI6muIhLP/6z/HA829j7cJzcd8n5sKyXay8chZu27Yb/+Ojs3F2IoJE1PD7o1IVyW+n+Pf/+l94870+/P5YGu8OaQucfG+iKRbCe8fSONgzMOLxkPz2dZUck+DU7SHCuoL5s6bi5i2vFK3GEYTtv8gflu2U3F7Bz6UFdVVg0dxpWPnYa4U83rR0HnRV/kkinodhSz7e9fQebF+9wOfITs/1PMRNDY+tvAyKAFwPsF0Hro8ThkbKlfC414d0dPZbw1ZHqg/5s0rP6HhYd9V56EnmJjcZqoJ1V50HBCAXdE3g2pPqx8al86Br8teP/Izxofzc+pBtChoL2doVulqmJgSgTVEJlmWjM2kVnoRpihowArCKX61Jp238ujuJtUNWQti8rB3nJaIIh0/9+0pnHTTFQkWrX25+8TdIV+ic1HUV0xr9Wd7U7y2Fbbf0ylL1ZhDagjSU3+fReIynfvhNiNyDRPl+XmujiXsWzwnEwzhUnRJRA2cnIrh3yZzCZNp4WMeX/v1X+MyH29DRm8JffuvEKk733zAX6646D519Fn5xsBeA/+NtfihVhzYunQcAeGpXB1RFQFMFVKGgKRbiJCeiGpLvK2SzDt7tS+MTl56Nmy47G5qqoLs/g0TUKGrPXzK9AZ/6w3Nw0yOvFN0zsGMGpgDSt22IiGTSnbTwTvcANjz7BppiIXz2I214/OX9WNw+HYmogaZ4CC1RFW93FbfjHrp5Hv5tzyHc9IGzC/9uaJ9t09J5aIrlHnyrM/WaXNGUJs+R/gwefP4t3HLFrEK+5rWg+N7EJdMbhuXnSMZDmmMhbFrWXtExCfaAhshk3ULRAYbsrcmn16kMQ1OLnkoDciv6+Lm0oO14uG3b7qI8vm3bbtgBWNnJ8crcVPHkj10RAj3JLG599FV88L7/wK2PvoqeZBZKANalkvG4d6eskvW4OyX/U5yKEEhZDjY8+wZufOQVbHj2DaQsB4qQPxeytod1J9WPddt2I2vLfw6qgzPGh/Jz60O2KWgsZGtXZJ0yNSEAbYrJZlk29nUmceMjr+BP7n0RNz7yCvZ1JmFxfyDpHC3Tpjg6gjZFSFNw5zVtRatf3nlNG0Jq9Xej9TLX1UqtspmxS68slbF5HQ2aIJ9H46kffiv3IFEAdrenKqUoAjMTUVxwRgzfWr0AP1m/EKoisLh9OnoGsoWJTsCJVXrTWRdrF55b+Bl+j7dVWjpt43AyM6wOrdu2G6v++JzB46GgwVTQUsfVnIhqla6rOCsehqkrUBUBQxU4qyFcWJ05b+3Cc4et9HTbtt3Y914/ftOdRHd/Gt39abhsLBARnZZlO4gYaq6PuPBcPP7y/sLuKUs2/wxL//HnJdtxf/GN3bjxsrNx+HgGt199/rA+223bduP2q8+HouTuMRFNJNv1sLh9esl8/XV3ErqqFNoOaxeeOyw/8+Mh9inG5nRdxYXNsYqOSbAXNES2zNOrWTbwqIxE1MCWFfOLti7bsmK+r0sLBjmPVVH6pooahEkirlfyhgyP+9jItkrPaAQ5F8odd7+2ghsNXRG4d8mconp875I5vm19GORaTP6RrV0R5Jow2TqTFm47acDitid3obMGt1aR3XjqsV3mml6pc8CyirfPquRkurChYPOy9qJ6tHlZO8IV2kbO75WlaOL4fR6NR5DbczyHSEaKIpCIhtHaGMGMRBSaInB+cwxTY0bJfJ0aMwrt4NZGEw8vb0djjazwl07bOJqy0NmXKXlsVEVg07J2xMMKYuEwn/onqnH5VZ5mJKJoqTfRXGfijFgIDy8/0Z4/eaUnIFdPIoaKNU/uQjrroj/j4N1jKRw5lkImwwd5iIjKGbpFc4OpY3H79GETO8q1444mLXieh5lTIyW/P3NqBLoiYBq1M8mfKkNTBBJRo2S+rn1yF7KOi4cHxwIbTL3seMjhvlNPjtZ1taJjElybcoj8qhBDD35rowmVHUY6hZCm4O7rLkLEyF3cQj4/SRXkPBYCuGfxnEAutV+ucAfhaRgZj7teJo+1ACSDG+Bc0AJ83B3Pg2moRfXYNFTfVigLci0mf8nUrghyTZhsnAgWHOOpx35Ovs6vHnbbkOXONy1rR1tTtCLbJUZUDWE9W1SPwrqCiFqZIYRybcFKTWJ2XQ/dSQuW7cDQVCSiBm8kj1GQJ90EuT3HazgFQcI0cNzKwrK9sufaGfVh7Fh7ObqTFr72o7dwx4fa0NYSr+qanE7bOJqxkB28FpU6NiFNQSysIu52KFEAACAASURBVB4K+RgpEcksFNJwQVNuNT1ncOv1UvWkN5VFR08KXf0W+tJZnFFvwtMUHE1nEXFsmJrG7dqJiE4ydIvmlroQ4mFtWL+3XDuuO2khETVgDK6ic/L3D/Wk8Lnv/Ce2rJiPBpNjETRxmmOhwth1uYlMsbCGHWsvh+2W7qO9+V4f7v7uXmxZMf+U/bJKjklwZachDE3BQzfPK3p69aGb58HgMsBURnfSwop/ehUrH3sNNz7yClY+9hpW/NOr6Pbxqf4g57GAwOMv78eGRbOxffUCbFg0G4+/vB8IwFZwxpDl/fJaG03oAdieQcbjrpRZpScIDTtdVfDgTXPw07uuwn+sX4if3nUVHrxpTiByIWEa2HTSKg6blrUjYfq3Wt1IeR6w8ce/huXkltC0HBcbf/xr+LUbY5BrMflHtnZFLKyUrAmxMPNYU0TJWs+byPIJaUrJNsVIJhKW28qtEr/nzqSFB59/q6h99uDzb1Vs9bDulIUvf+/Nouvql7/3ZsW2FI6GFTy68lI8euul2L56AR699VI8uvJSRCtQf1zXw4HuJN44dAwdPSm8cegYDnQnAzFxXUZBbhuPp374bYpplFydbUoA2vVUO/qzNg4fz+D3x9Il+04hTcH//Nf/wpLNP8Oarbvwg71HsOqJnb6OuU22dNpGd8pC1s5NTLhkRj2+euPFw87lWFhBY5g3v4jo1HRdxVn1JkxdRSQ0fOXWexbPweYXf4PWRhN1YQ2f+85/YveBbggBWLaL/owLy7WRTnOVJyKioYZu0VxnaoiGtEJ9vaG9FS9/7irMba0vWXef3nUQTfEQdr/TXbQCX/779/3gLXT0pKq+3UuVp+sqWqKhYVvdArn8OzZgwdAEHNeDIlC23TCS/KzkmASnZA8R0oBIqHhViEhIRYhHicqwbAdNsRA2LJqNBlNHbyqLzS/+Bpbt316qQc7jSEjg9qsvKOxjmy9+kZD8gzeRkMDmZe3BjN0oc9wN/2LP2C6+/L19RefWl7+3D1+76WLfYhqpSEhgZlMdbnrklaKVGIKQC+GwhvMTUWxfvQD24FNfCdNAOCx/AWmKGvj01RcMWwGjyaftv4Jci8k/srUr+tNuYbJFPp4Hn38Lf/ex96PePP2/r2YNplKy1jeY8t8ArzX1IQ1N8VBRPW6Kh1A/goIsBHDfJ+biM99+vfB7vu8Tc1GJnX6FAD71h+cMe+9K3dMUArjlilnDVv6s1C7HactDb9LChmffKLz//TfMRV1Im/T605PK4PDxdNF737tkDuojGhLR8OS+eRUKctt4PPXDb+GwhvMC2q6n2pGxXdy2bTf+btH7MLMpNqzvFAspWNw+HZ19Fn5xsBdA7oljP8fcJlMmY+Pt7uJVHTcunYczG0L46o25sZCmeAimocBUNeg6tzYhotNTFIHmujBs28WsBPDUmgXI2B4OdCXxle/vQ2d/Bg/dPA//8O+/wu1XnYv3TWsY1m5rbQSOHbPRFA9xkiUR0aD8Fs2Hegbwxef24p7Fc/CTfYfxyQVno6vfwrptu9EUy/UnZ06NoLvfwiM/+Q1uv/oC/PhX7+ED5zbh/KYYnl57BdK2A9f18N7xdOHnV3O7l/wTDmtoAYbdz/7HW9ph6io6+3K529GTwodnN2Pbn38AngfsO9yHr3x/H35xsBeXTG/A2oXnYsCy0dmHkquhV3JMgqMcQ/SnXax89LVhS2ptX72g5m/oUGmmoeJ/fPRC3PHU60WD8H7upRrkPO5Pu3jgpJuqDwTkpmqgY8+cIvaIPzEZqoKmePEklaa4EYgnwPvTbmFwEsg1Sm97clcgzkEg1wiZFsCbIIahoa2puPHUFDV8W2o7yLWY/CNbu8J2Pfxg7xH8YO+Roq9//trZvsQjk95U+VrPuRByMQwNMxpyTzOP9vqgKAq+/tPfFrWRvv7T3+Lu//YHkx+4h8JEJyCXY5/59ut4avWCyX9v5FZMzE90yr//XU/vwfYKvX/W9Qq1MP/+dzz1Or5VgfdPWS7W7yj+7Ot37Mm9d3TS377qBLltPJ76IYOgtuupduS3i33fWfWFG+t5rY0mvrV6Ae7+7l5sWjoP/RkbX/5e7qa8oVXnJJ+uAWtYvVy3bTceW3kZWupyDUxDFZhihqAFYIU5IpKLpinQtDAM1UFPKovzW2L46k0XQ1MEelNZ/GDvEfztx95fVI/z7bZvrV6Amx55BQ8va8eZDWFuq0RENER+/LSzz8LXPnkJLNstTBbp6Elh5WOvFe4L/P3HLwKEh4/OnYap0dx2xEcHLKx6YmdhLPihm+dBEUBXv+XrvWaqXuGwhvOnnriX9uZ7fdBVFVkHhdwFgB/sPYK9v+/D9sF+WUdPCpdMb8BnP9JW9HDkw8vb0dYcH9ZHqdSYBEc9hsh3sofq6EkV9i8kOpntlB6E/85tV/gXU4DzOMg3VRn7xArpouQqPSFd/o50kM/BoDMMDdMkufnEPKCxkK1dUcm9tYOG53iwjPX60BQL4Y4/vQCrtp5oj2xZ3o6mWGgSoiyW9TnHnDLv71Rof9iy71+Bz1/uvbmN3dgEvV7K1L4kqjb57WJPVfM7elK4bdtu3H3dRbjzmja01IWR8Gn13smUTttl66UigKzjwtAUJKKc6ERE46PrKpoHV4bLZh0MZLOwXW1E9XjNk7tw93UX4Yz6MNpa4pzwRESEE23aXxzshe24UATK9oHDmkDLkBUGOvsyhYlO+b/3F9/YjQ2LZuPu7+7FlhXzOcGUJkUopOFMXcWRvjTu/u5ePPFnl0GcIncfWd6O1Vt3Ye3Cc4c9HLlm6y58488/gNbGiC+5yt7REPkbOkPxhg6dStp2Sp74adv1KaJg5zFj94eMsaes0k+Apyz/zq2RkvF4UuUxD2gsZGtX6KrAxqXzivbW3rh0HnSVecxzvDYoikDbGXV4Zt2VeOmuq/DMuivRdkZdRTruapkcq9SgQbn3Vyu0j51e5v31Cnx+XVVKn98BWGFURqyXRFTO1KiBzcvay19zButER08KEUPF+h17EAtrVXmzpztlQRGlj4PrAYamYKppcKITEU0oXVdRHwmjJRrCw8tHXo9XPbET3UnLj5CJiKQzNWoMbvmZmzTqeig9niMEsic99GOVGQtuMHV09KRYb2lSKYpAczyMR5a3w/VQNnezjodE1MAz667EhWfES+bskb6Mb7nKHtIQdaZSKEgACiuJ1Jk8TFSaWmYgws97gNFQ6TyOhuTP47BeOvawztgnk4yxB/kJ8Fi49PGMheXPBZo4bFPQWMjWrsg6Hp57/RAevfVSvPCZP8Gjt16K514/hKwjfy2ebDzHa4eiCDTFQ5jWGEFTPFSxG6yaInDvkjlFOXbvkjkVmyAS1pSSkx3DFbrJqqkCm056/01L50HTKjDRTAD3fWJu0Xvf94m5vvbxgizI/VMimlyGoeG8RBSxMnXi5bc7C3/uTWXR0ZNC1seHCyeT7Xo4mswMu/ZtXDoPuiYw1TQQ5raURDRJwmEN7zujDvFR1GPLdvwMmYhIGoahoa0pOrhVuwZdG/7w6KZl7fjn3R3DVow2NLXkWHBvKgsArLc06RRF4MIz6jAlWiZ3l7bjkf/4DdK2i6Z4CBFDK5mz3UnLt1xlL2mIvrQHTbiFPQo1ReB4KoO+tId42O/oSEamoeLeJXOwfseJvSnvXTLH131UM1kPjREN31q9AI7rDT554SGTlf/GpOMCu/Z34RurFsDzPAgh8MLe36NlzjS/Qzstxj6xgrx1UjwUQkudV3QOGppAPDT5W96QPNimoLGQrV1hGioWXtiClY+9JkU8MuE5TpNNUwUihoq7r7sIEUPFgOUgYqjQKjTjJh7S0BDR8djKy6AIDK4qIRAPVWYIIet4+O7gZEtVEXBcDzt2/g4rrpg16e+tKAq+/tPfYsOi2WgwdfSmsvj6T3+LL14/Z9LfuxoFuX9KRJMvHNbQ05sd1q7a/U437vzOG2htNHHP4jn4yvf3obXRhKFVZztUUwQe+vGv8dcfvgBPfuoDECK3ymJIUxDXNU50IqJJpygC/Rm35usxEdFY5Lc/z2YdhOwsorpaqKWqIvDMrg5s39WBxfOnF/27RNTAlhXzC1vZDa21AFhvqSIURWBKNIyIahflriIEHnz+bbz822785Z+eDyCXsw8vb8earbuKcvbxl/dj3gx/xs3YUxoiYeo4mrRw4yOvFH5Bm5e1I2HqfodGkmowDbTUhYtuQrTUhdFgGr7FNCVi4EDPADqOpgoxtU4x0dIo/523qbEQPnBOE27ecuIc3LJ8PqbG5J8kwtgnVsLMLf2Z38ouP/s94eO5NVKKIjA1Gi7MZDY0FYko91WuNWxT0FjI1q6QLR6Z8BynyTYlEsLxgSyOJrOFr8VDGqZEKtM+MwwNZ8SAzqQF2/UQUgSaogYMozJDCE1RA4subi2abLlpWTuaopNffxJRA3d8qK1osHHLivlIVOC9q1F9SMfB46lh/dOpdfL3k4ioMqaYOrqHtKs+PLsZGxa9Hy9+diH2dyXxle/vQ2d/pqprccI08OmrL8D//sFbWNw+HYmogaZ4iBOdiKiimmMhHB3IDqvHP/7sQhyokXpMRDQeuq6iXleRydh473gSa4fc3yo1bqgoAm0tcTyz7kpYtgPH9fC/ntuLXxzs5VgEVVy+33H4eBJrTro3OzWSy0NFEWhrjuMbf/6BwtZ1j7+8H3d8qM23XBWeV1tP082fP9/buXNn2e//X/buPMyq6s4X/nft8UxFVVFTFDA4IAYJKoUGtU2MppP0DYabhmhacKC7GSTD7bRtm77dRDt2+sYQH5OY4MD7RqJoxKF97OjbxkQTc1tDK2i0DQacFWOgqCqk6kx7Wu8fVedQp+ocajxn71X1/TwPj3KA2qt2/fZv//Zaa6+Vz3s4kHGKM9ebExbsGr29SmoKAjmWSQ3jmvUwXBy7ro/9vfliHLembJimGrN/x3g+I2EKtn3M39xwMQwAuZyHzuzhfNzEZdtp4lU1F7OmoLEYQz6uahyrfG+rNl7jE6qqcayqqX79OY5XnGxl1HiyVRRrY5WxrlcGczGFplxdZZp65Prbqom5kgZQNo5JfYPHFRKWhpRl4mDOmzL5OEpmf+2RMf27N7/1mQluyfBUausIMYZpXMbSb1iFfiDGMY3aSGK3xn2WR/zCfGIaxLYNzOAgBY2Cpgm01EXrrVTT1DGjMRF2M8YkiudzpNj2iRWLGZjBjj1SGGsKGouo5eOotSdKeI1TtU3166+wDHwYpvq5n2is64loOJXqqqmUi5kriSgKKo0rtCjyIjURUVSMpd+QfREUBSOJ3SjFKp+gBuFbNDQZqBzHnhdgf28erh/A1DW0pmwYhhZ2s0ZE5bfvo3jeVT6fKq/2ofLKcFGLY5VzMVEB45iIwhJm/lG5HqKJxfsgUW14XoC066A3F0yJ6425hYhUwFxFRFQdg/NrzNRQH7NCH5MjGo+w6gZWJgPkch72ZfJwPQlNAK4vsU/m0QawiCNlqBzHnhegI52DHwASgB9IdKRzaEnGIn+TDwKJfT1ZeD7gS4nA9bGvJ4u2unjkJ+h4XoDd+3uw9s7De7Deekk75rbWhXbeg0DiQDoHx5PwAwnp+TiQzqE5GYv8+cznPew5kMYVg/a0PbE5GfkJT67ro9d1Sz7rdV2kgMgP8EUtjlXOxUQFjGOicCcwhz24EObxczkPr3QOrafmNCWr3gbX9fH7/b1Djn1Sayry9RBNLN4HiWrD8wJ0ZfPIusGUuN5yOQ8Hsg4cL4AfSNy9420sOXVmTe5xREQjxTqIiKg6yuVXLwiQdnzUx3XU2Xbkx8CIBiv04z38271YvugY+JrAgayDZlS/boh8VSKE+DyAawF8CMAZUsod/Z/PBvAygN39f3W7lHLdeI7V63o4lHFxxV3PHe7UXLEQSVNnAUfKUDmOexwHB3rdIQMLMVNDoxELu3lHdCiXR1evi7UD2n7rynbETQ0NiWi3/UA6X5wgAgB7u7NYe+dO3L/uTHygPh5Km3ryebyf9bC3K4uEpSPj+Jg5PQ7byKM+HvHzmXGKMQz0nc8rtu7EtjWLI7/dUc53sbc7P+QanN0U/clOUYtjlXMxUQHjmKa6fN7Dq53pIRNpT2iq/gTmMCf7ROH4ndkj1FNVPv7+3nzlYyu6VTiNDe+DRLWxvzcPSxcVrzdN69vadDIoe39dsRAP/3YvLj3rWG5jR0SRcaQ6aDLlZSKiWut1PbyfcbF+YH5d2Y62aTZyjkTGUWMRBaKBOrMOHv7tXiw5ZQZWbXm2pn2J0V4qpc9LAP4cwK/L/NlrUspT+3+Na6ITAOS9oFi8Af2dmnc9h7wXjPdLE9WMynGcyQdlBxYy+ei3PevI4kQnoH+ixdadyDoy5JYNL+8FxXYX7O3OwgkxZnKOxIGePDY89BIuum07Njz0Eg705JFT4Hx6gSx7Pr0g+m0/lC1/DR7KRv8ajFocq5yLiQoYxzTVdWXdshNpu7LuMP9y/CpN9unMOlU/dhSOH2Y9pXItRxOL90Gi2nD94IjXW2em+vfdWil7f73rOVx4xgd5nyGiSDlSXj6Y80JuHRGRuvJeUJzoBAwcg/HQ0etAh8CB3nzIrSQaHS+QuPCMDw6tHWrQlxj5yU5SypellLuH/5vjx05NmgxUjmOV2+745SdauH70O8J1TWBmY+nKNzMbw5057gYSV93/YslN8ar7X4SrQCwYFc6nocBMfJWvwajFscrnkqiAcUxTXZj1XdjXX9jHD7OeUrmWo4kV9nVANFWYunbE602FfpWRqvR9GprgfYaIIuVIedmZRHmZiKjWKuVXTQDrtu6EE0jkXD+k1hGNjaEJ6EKE0ocS+clOwzhWCPG8EOJJIcQ5lf6SEGKNEGKHEGJHR0dHxS/GTk2KsqkQxyq3PWoTLUbD1AQ2Ll9QbP/Mxjg2Ll8Ac4LbPtIYBgC/QsEXKDCwYBsaNq1YWHI+N61YCNuI/i1X5WswanGs8rmkyY9xTJPBaOqKsQqzvgv7+gv7+LEK9VSsBvVUa8rGzSvbS45988p2tKbsCT1OLWKYxifs60AFjGOaCK0p+4jXW7Xvu7WM40rfp66JmtzjaPJiPqaJdqS87Fepf5ZxTKpjDNNIVMqvhTExP5ChjisyjmksYoYGQw+nDyUST1FCiF8IIV4q82vpEf7ZewCOkVKeBuBvAdwthJhW7i9KKW+TUi6SUi5qaWmp+AVjZoUOVTMSp4mmuJHGcdwqH8dxK/pxnLS1sgMLSTv6ba/VRItqMHSBppSF65bOx7Y1i3Hd0vloSlkw9Ilt+0hjGOh7s7PsTVGPfiykTAP1CRNbVp2BJ678GLasOgP1CRMpM/p72at8DRpahTie4GuQNQVNBoxjmgxGU1eMVZj1XcIqf09O1Kimr4uXP35dvDbHT5oGGgbVUw0JE8ka1FOmqeOk1hS2rVmMJ686F9vWLMZJrSmYpj6hx6lFDNP48D44PMYxTQTD0I54vVX7vlvLOK70fdqGVpN7HE1ezMc00WIVxhiqmZcZx6Q6xjCNRFPcGtLfsmnFQmz+9euY2RiHqYlQxxUZxzQWSdOouBBEtftQIvEUJaX8xBj+TR5Avv//dwohXgNwIoAdY21H0jjcoaoJIJCAZQgkjUicJoqoIJDoTDtwPB+WoaMpaYU663aabaEx4ZfEsW0ITLOt0No0UknTRHMqwE9WL0YgJTQhYOh9n0ddvW2iuc7GdUvnI2HpyDg+muts1NvRb3vKNJA2fcyanijJfWFOzpkeM3HLynas27oTe7uzmNkYxy0r2zE9Fv3zGYsZaAPQmXXgBRK2JtAUtxCLRf9ekjAMtE2TuGfNYviBhK4JWIZAQoH7YNI04MQCnNCagi8l9GL+CKftrClorKJUVzCOaaqrt020DKrvWmpU38V1o2xdHNdrc/2lLBtHNwDb1iyGF0gYmkDM0pCyJnZ1o0piMQOtCK+eMk0dMxoTNTnWSHlegP29ebh+AFPX+lZC4SogVcX7IFFtBIFEzBBlrzdfAq4v0dGTD72/bTwKOVwIWfb7rDMNJfoMiCj6JqpPIamXr4McP8D0ePTHGYiIoqJcXp7TlCz2t7i+xG1PvoanX+/ELSvbEbc1pPrHRKPUT0xUSRBI9Lg+EibK1g5S9v2dasWusk9RQogWAF1SSl8IcRyAOQBeH8/XtCwdTdBxMBsUO1Qb4hosa2Lf4KTJIwgkdu/rweo7dhQnZGy+dBHmttWFesMZvJBs9Df+6mOaOpoTNvb35hFIQBNAc8Ke8LeoqyEWMzALcSRMvTggpMoEF9s20CqHDibZdnhttywds5vskgG2eoXysWXpsFwd6C9C1Wm3gXoJHPAcAIAAUG+ZsKzox7Fl6ejucrHmzsMT5G67pB1tdfHh/3GV2sOagkYranWFYWgYfFTR/zmRSvJ5DwcyTrGmaE6MrM6xLL3sNVCLXG5ZOmKBhkwQFOvimFm7+4imCTTGbXQGTrGeaYzXtlMtFjMwI6Ra2nV97O/NF2OmNRXuM4nnBdi9vwdrB9Q5t17SjrmtdczJVRT2pLvxilocE5Xjuj460nm4vkTK1mGIAG4gYWkCugD+6cH/xmO79odeF4+H5wV4qyuNt7uySFg6NCHwgfoYpOx7wUilvEJE0RYEEu8ezMD1JWKmBsfzsbc7A2MME+U1rW+lW1+T8AOJA70OmlMWWhNx5iwiohHyvAAdvTl4ARBICen52N+Tg6kLtCQtvJ/34HgBvnTeCfjKJ+bAMjToGqDrWuT6iYnKCQKJ7mwejhcg40jUxXTkRIC8L3GgJwcpJUxdQ9rxcVSdXZWxxshXJUKIzwG4CUALgEeEEL+VUn4KwEcBfEMI4QHwAayTUnaN51hZx8GBjA/Xk9BE35tDnpRohoNkrDZvsJJaOtNO8UYDAHu7s1h9xw48uP5stNSFEzPdWQdZx4OuHe7EzDoeurMOWupiobRpNIQQEEIAkAP+P/o8L8CrnekhKxGd1Bb9AYgotr0n7+DtrjyuGNCmm1e245jpAvXxaOdjlYvQIJDo9bySz3o9D6apR77tB3rzxYlOQF8+XnPnTvzbFWehdVrtcx9rChqLqNUV3VkHmUE1RUahmoII6Jvo9Pb7WeztH2DMOD4y0+M4pj4+7ISnzrSD6x/9PZa1z0ICOhw/wPWP/h7f/NyCql+TnWkHn9v0dDEfAH3LP9cyH2iaCO2ZJkyu6+P3+3uH1KHV2MpupA6k8/jeL/Zgw5J5aIibOJh18b1f7ME3ls7HB+rDmdg9Go7joSN9eMJhS9JSYjI9EO6ku/GIYhwTDeZ5Ad7qzqA77aI5ZeH9rAdD1/DNR3YVJzhdv2wBOnocPP/OwdD728aqO+vAC4KS1bQzjovpSZs1NRFNqEM5BwczLm564hWs//gJ6E67A56BPMyenhxRX6/r+tjT0ddX3JKy8ZXz5+CYpgQ6evJoTJiIRX9YkYgodEEg8YdDWQQBkHY8WLqGjOOjIWFCQmBfr4PWpIVXDpWOzW1cvgBt0zykYkak+omJykk7DtJ5H07/OFhX2sO0mI5rf/o7XHbWsbj6gRdLxp3nVqFPIvJViZTyQQAPlvn8AQAPTOSxsq7E+xkX6+96rnjiN61YiKSpI8lnTyqj7+2IbMlne7uzcDw/pBb1yXsS6+96piSOVeB5AX6/rydSk25GqqM3X2w30BcH67buxH1rz8RRDdEegIhi23tzfrFjvtCmK7buxLY1ixH18ZyoTVYYjbTj4A8Hh04ys3SBuohP0Mm65fNxzg0nH7OmoLGIYl2hak1BVHAw5+JATx4bHnqppONomm2gbZjJTn4QDHkwv37ZAvhBUPV2RzEfTBX7e/MV69CwtrYLpCwbi1JGfw1fx/GwuyM9pL6c25JUZsKTiqIYx0SDdWUcpPMevCDAJT86XG/e8PlTihOcrn7gRWxYMq+4sp2q90HW1ERUC+m8jyvueg4bly9A1vGHPgPFzBG9ELi/v6+4JWXj7z41d8hAZZ1lsI4jIhrGwayD97Mebnp8z5Dn+R9evBA//OUr+MfPzBsyNnfV/S/iuqXzcXxrkv1CFHmOK3Fw0DjYzSvb8cWPn4Av3v38kHHnavRJRHv2QI3lvaD4wwD6Tvz6u55D3qt+ZzapyTJ0zGwsnXkxszEOywjvTUmnQhw7CsTx/gqTbvb35kNu2fAcPyhbeLh+9M97FNvuBbJsm7xAgQEdhQcnD2XLTzI7lI1+23VNlM3HYa1IxZqCxiJqdYXKNQVRgRtIXHX/i0M6jtwR1BR+IIudUYV/e/UDL8KvQT0StXwwlUSxDpUSZWNRgdIYHWmnbH3ZkXZCbtnkFsU4JhrM8QN0pd0h9+kr73sB6849vvj7hrgJQM37oON4rKmJqGYK9/+jG+Jln4GcEfb1Fr7OunOPH1KDrmMdR0Q0Ijk3wBVbd2JZ+6whufSLdz+HZe2z0NGTL/vclrB06KL8eIdq9TBNbrkyzzpXbN2J6Um7Zn0SnOw0ADuDaLSakhY2X7qoeMMpbFfVlLRCa5PKcexGcNLNSEVtosVoRLHtRoU2GQqcT1GhCFVhS0aV84epCWxcvqAkH29cvgBmSDGj8rmk8EStrmAcH5njeHi3O4O3OtN4tzsDx/GG/0dUc36FOA5GEMeVroFaTHaKWj6YSqJYh1aK41rE4njxXhKOKMYx0WB+IJGw9LI5YuAEp4NZV9n7YHfWZR4kopoxda14/x/rMxBwuI5oiJvMX0REY1QY76yUS49vSaIpaZV9bss4PuKWzn4hirxKzzqBlDXrk+BkpwHYGUSjpWkCc9vq8OD6s/HU1R/Hg+vPxty2Ok4SGSOzQtvDmqwwGrahYdOKhSWFx6YVC2FHfPs9AIhVaHssxLa3pmzcvLK9pE03r2xHayraW6kBgKGh7PlUIBSUzh+WKdCUsnDd0vnYtmYxZ4ffogAAIABJREFUrls6H00pC5YZTttVPpcUnqjVFYzjygrbMl1023Z8bOOvcNFt27G7I80JTxFUKY71EcTxwMGCgf/W0Kt/U49aPphKoliHVno5YSRxHLZK15FZg+toKotiHBMNZuoCGccvmyMKE5xuXdmOU2fWK3kfdBwPHb0OpARraiKqidaUjVtWto/rGWjg16mUo5m/iIiGV3iOL9S1A81sjOOdriz+9t4Xyr7A/cGmBBriFvuFKPKONH5wa436JLix7gAxQ8PNKxbiioH7CoY84E/Rp2kCLXXR6TCMmRXi2Ix+HBuawA8vPg1daRcJS0fG8TE9aSrxAOV6AX7wxCvYsGQeGuImDmZd/OCJV3DtBSeH3bRhOb4s3/bPzg+tTaap46TWFLatWQwvkDA0gdaUDdOM/hKdboXzeY0CsVCY+DZwf92wJ76NVH3MRs4NcEJrCoGU0ISAofd9HgbWFDRWUaor4paGm1e2F7cfKjyUxC3GcaVtmbatWYwZFh+xosTQBG688BR89d4XinF844WnjKi+NPpXDSxsAVHodKpVbRqlfDCVRLEOHU8chy3s62iqimIcEw3WtzVHbEiO2LRiIQSA65bOR3PKQlt9fNivFUUdaQfrtu7EWcc1DX02XNmOpjjfyieiiWUYGk5qq0NnOj+u2tE0dbSkLGQdf0j+uoX5i4hoRCy9b6zlB0+8guuXLShuZVd4Jv72o7vx/DsH8e1Hd+O6pfNxfEsSmiYQtzQ0xu3ipCb2C1GUNcWtoeMHKxbijqffwIozZ9ekT4I98QOkHR93/uYt3H756dA1AT+Q2Pzr1/Gl805AU9iNIxohKYG6uIEtq86AJoBAAobe93nU+ZDIuQE2PPRSMSne8PlT4IfdsBHwpcRju/bjsV37Sz7fsCT6E1w8Pyjb9n/6TLjbB5qmjhmNiVDbMBZ+UD4W/mnJvJBaNHJpx8dWRe+DQSDR2eti3YCi6paV7WhJxkJ524E1BU0GeS9Aytbwk9WLi5MIvcBH3ov+9rLVxu1I1BFAwjQ0XLd0fnEyvWloCDD8zyrr+vj2o7tLJjB/+9Hd+O4XTq1ByylMUatDxxPHYeN1FJ6oxTHRYHkvwOZfv4Evn38CfrJ6MfKejz++n8M1D/0Oz79zEADw5FXnhtvIcSjUi/fu3AsAxWdD29CQsDXEYuyWJ6KJZ/TXiOOtHXNegM/f+hucNquhpI5rTJh4tTONk9rqYPCFPiKiiqYnLDi+j0vPnI1jpsexZdUZyLo+GuImvvKT54v17vPvHMSqLc/iyavOxUw+v5FiYjEDbdOsIeNg9+7ci09/+Gg0pyx8sClZ1TawGhlA1wQOZh28fiCNjp48Xj+QxsGso8TS8EQFji/xr4+8jNc6etHRk8drHb3410dehuNHvyNcSoEr73uhZJWEK+97QYmJWrapl12qz1ZhRS1dwyfnteLWS9qxbc1i3HpJOz45r7UmW7RMRrEKsRAzov8Wta4JPP16J/70xl/jvBuexJ/e+Gs8/XqnEvfB/b15fP/xPdiwZB62rVmMDUvm4fuP78H+3nwo7WFNQZOBlAL3/NfbyLk+/EAi5/q457/ehpSMY27xpw5daNj0y1fh+H2T9Bw/wKZfvgpdDF/nGJpAS13pW8stdRZ/zlRz44njsPE6IqJKYqaOp1/vxFd+8lsEUuKdrixMXcO6c4/HabMalK+tYoaG2y8/HdvWLMb589rw9/e/iEt/9Aze6c7C5c7HRFRFE1E7Fp55n3/nIG751Ws4mHXRlLTgS4Ta30ZEpArD0GDqOr72b/+Nr/zkt3itoxeZvAcJia+cP6c4FjcZ6l6a2lxPYtWWZ3HeDU/i7+9/EefPa8P9685EXcyEVYNxZr5CMkDC0vDl808cslVHglt1kEJkhRWGrrkg+jOGpCy/SoJUYLZTc9LG5ksWYfWdO4r5Y/Mli9CcjP4Sky1Jq2zua0lySeKxaE5ViIUq7EU70VqSFm5Z2V5mdSQVYkHisrOOLVkO9vplCyBCWvGANQVNBoYGXHDqTKza8mxJTuDLm335stwWf2rky6mlOWXjq5+YO6b7cswsn8trtT205wXY35uH6wcwdQ2tKbumb0+HfXw6bDxxHLawryMiiq7mlI1bL2nH936xB529Tskq3xuXL0Bzna1sbRUEEp3pod9TwtKRtA0l8jcRqWsiasfCM+9Nj+8Z0t/2g4tPC62/jYhIJS0DxorW3rkTn5zXiq+cf+KkqnuJCuOK3y9TM9x2STta6qq7+wonOw2Q9yQe/u3ekqW27t/xNlb9yXFhN41oxCxDx9pzZmP5omNK4thSYFUZy9DxyXmtWNY+q7g07gM731Gi7UEgkYzpJdsHWoZAEMhQttAaje6sWxx8APommF2xdSf+7Yqz0FqF/VMnO00TmPuBOjy4/mw4ng/L0NGUtCIfBwWt0yzcs2Yx/EBC1wQsQ412S4liEQX0xfHVD7yIbWsWh9Ie1hQ0GQQS+CnjuCzLMnBic7Jk3/HmhAXL4uNV1Iznvpxzg7I1Ui3uLZ4X4M2uNN7pyha3nshM9zB7erImE47CPn6hDZxs1Ufl+tL1WRMRUXmaJnBUfQz/588/jO6Mhzv+8ozitgdX3f8i7l93prK1VVc6j0M5D1tWnQ5dCPzxUA63P/UGrrngZJi6pkT+JiJ1TUTtWHjmveaCk3HH02+wliMiGoOB+TjreIiZGg7l/CF1731rz4QQrA9JTZZl4Kh6u2LN0HTO8WibFqva8dV8YqwSTQCfOWVGydvrm1YsBJ8/SSUNMQNLBq3CcPPKdjTEon+519t62bd+6+3oT7jpyjjoTjvoSrvFAaHpSRMxQ0drFZP4RMi5ftkVtXKeH1KL1KdpAi116r2p2et62HfIGXINGg0C0yPeySyB8ivDhdMc1hQ0KTCOKwsCide7Mlh9x4A3ZS9dhLltdRy8iqCx3pfDvLd0ZRx09OSHvO03LWbWpLYM+/ieF+D3+3qGrDZ5UltdTSY8FVbkiNLEIlXrS95LiOhIkoaOPQfSJc+gm1YsBAA4XqDEC2SD5fMe9h3K4+/ue6HkHrr+4ydAE8D0BN/aJ6LqG2/tWHjmbUqarOWIiMahkI9zOR2vdJave10/wMGciyZOiidF1ccs+EG+bM1Q7dUgp+ZrkRW4vsT6u54reXN3/V3PwfW5JCepoyPtlH0DvSPthNyy4R3IlF9h6EDGDbllwwukRMbxseGhl3DRbdux4aGXkHF8BApswadrAp+c14pbL2kv7hP8yXmt0DmTfMrJOuVXsMg6QcgtG54uohXHrCloMmAcV9aZdnDjz3djw5J52LZmMTYsmYcbf74bnQrUWzRyYd5bHD/AVfeXrlh41f0vwvFrc08O+/j7e/PFiU6F46/buhP7e/NVP3YQSOze14PPbXoKZ1//S3xu01PYva8HQcDcNxa8lxDRkRzIDO3DWn/Xc/jy+XNgGxoOZtWrrQ5kHKwd9D1ddf+L6E67CCSm7CqFRKSWwjMvazkioonRma1c9+qawPtZV8nalwjoe8Y5Us3gOF71jl21r6wgL5Bl39z12KlJCnH9oGwcuzUamBgPldvuBbLsgNA9IW2hNRqmLvDl8+bgiv6b0MzGOG5esRCmzslOU43K90FTF/jSeXOKxVRh1nhYcazyuSQqYBxXFgQB1nz0ePzNtt8Wc853LzoVQRD9moVGLsx7i1/h+qvVhJuwjx/mc0Fn2imu2lY47uo7duDB9WcrubJS2HgvIaIjqZQjXD/AoZyP5qR6qyBVuocmLB0+cx8RKSIIAlx21rHIe+XrctZyRESjc6S699IfPYNNKxaiMc7cSuo6Uv9Pd9ZFW5V2j+GrJAMYmsDMxnjJZzMb4zC4ZBwpROU41iu0XVeg7YEsn8SlAis7+QGKE52A/tV87noOCswxowmmcv7IeUHZWeM5L5xAVvlcEhUwjisLgOJEJ6Av5/zNtt+Ct87JJcx7i21oZa8/q0arQVgVjm/W6Phh5h/HK7/Fs8MtnseE9xIiOpJKOcIPJNbeuVO5wXTPC6BV+J4yjl+z+zgR0Xj5Erj6gRfhB5K1HBHRBDhS3Vvob8q4AbyQxjOIxqtSjLu+rOpzHZ+wBjB1gZtXLCz+IIqrmxgs3EgdKVvDzSvbS+N4ZTtSdvQv9zpbwy2D2n7LynbUKdB2U9PKbnNiaNFvuxtUekOHRdVYOY6Hd7szeKszjXe7M1VdonEiJazy+SNhRT+OK004DGsrSdYUNBmonBOqza3wdqsKq1HSyIV5b9GEwMblC0quv43LF0Cr0fasjbZZ9vpvtM2aHD9marh79Ufwi7/9GJ648mP4xd9+DHev/ghiZvXzj2XoWHvObPz8qx/FE1d+DD//6kex9pzZsAy96sc+klyutL7M5dSoL01dYNOgmmgTayIi6hcztaHPTSvb8fxbXdjbnVVuJaSujAPbEEP6tjYuX4BZ0+NoTnKFQCJSg6kL3H756UjF9LLPBUkF+uuJiKKkUt2biun4+Vc/irOOa4IXBOjKcCs7UlNT3BpSM2xasRC3PfkaTENUrU9rQteLEkJ8HsCjUsoeIcQ/AVgI4F+klM9N5HGqRRcCdXEDW1adAU2gbx91HdDBTjhSy7RBcaxKR7IXAI1JAz9ZvRiBlNCEgKZJqDCR2TYFvnz+icU9dwuFim1G/9wbom+27cDBvJmNceg1GkyrJJ/3cCDjwAskDE2gOWHBtqO/+6rjeNjdkR4SC3NbkrCqtEzjRMl7EpaOkvzhBz7yXvQ7mGOGXjaOYyENTLKmoMkgrhuYFveH1BRxPdq5rBYKb6oMzjlGyPdOmlhh3luyro9vP7obG5bMQ0PcxMGsi28/uhvf/cKpVT82AHRmHdz0+J6S49/0+B5cc8HJmBGrfg5IGgbeez+PdQPqqVtWtqM1Uf1B4npbxwWnzsSqLc+WHLveDm+yUy7n4ZXOofXlnKYkYjX4eYyH50s88sK7uP3y06FrAn4gcf+Ot3HZWceG3TQiioCUaaCt3sY9axbD8YJijvjMKTOw9pzZyq0cYujAuwf77qHf+vMP46j6vlUZ03kXDXETBld2IiIF5HIe/ngoX6w9154zG/esWQzPlzB0gYSlIWnW5iUIIqLJYpptIp3wsfWvPgIh+na6ufPpN3Dr/32zOCkkYeoIpITnBawbSTmxmIGjptnFsQQ/kNj869fRmDCw75BTtT6tie4V2yClvE8I8ScAPgXgOwBuBvCRCT5OVeS8AP/6yMtY1j6r2KH7wM53cM0FJ4fdNKIRS+cDfPPhXUPi+NoLTkZ9IuzWHZmUQCbvY293DglLR8bxMbMxBlsP9y3qkcg6QTFRA/1bwW3diW1rFgPJkBs3DNPom1Fe2Mru8Ao04RVT+byHVw6khwxwzWlORn7CU0faqRgLMyI+2ckLJG54bM+Q/PF1Be6DuoaycayHFMasKWgy6Mo6FWuKoyM+uF5tmta36s5V979YzDkbly+AptiAHB2ZoZf/ORt69X/OhibQ0ZvH2jt3Fj+r5XYRXiDx4aPr8aGjpiGQEkc1xPHho+trtp1QV84t1oFAXz21butO3Lv2zKrnnwOZIxw7pFquq8LkMxXysaYJnHtSW8nkMeZLIiroyrlw/QD/MqDmXDi7CT944hVsWHKycrnC9SQO9OTxV39yHA5mXfzdfS+gozePe9YsxnSu6kREiihXe37jp7/DhiUn4xs//R2+fsHJkNJFkxn9PnsavdlfeyTsJhBNSqapoy1pozvnwg8kLrptO1pSNm69pB0NcROdvQ5a6/rqxR7HQR0sTngi5Th+gHTewxfvPjxO95PVi3Hdw7+rWp/WRPeK+f3//QyAm6WUDwkhrh3PFxRCbARwAQAHwGsAVkkpD/b/2T8A+Kv+435FSvmz8R0L+Ks/OQ5X3vdC8Qdww+dPAV/QJqVUiGMVFhPxA4kDvQ42PPRSSUf4tFj03xTxgvLbnKiw5LrjBbjpiVdKbzRPvBLqpIzOjFN+kGnNYhwd8clOlWKhVoOD46FVyB81GNMdt5wbrThmTUGTgsI1RbXlvaDsqjvfq9GqO1QbWaf86ko/uPi0qk9mN3WB+9YthucDvpTQhehbIbBGN5JpMR3nfqgNF2/eXvLW1bRYbQY0XD+8rSLDPHZFCufjvBdgxxtduHv1YkgpIYTAQ8/txYyGeNhNI6IIcL0Ahi7KP4dqff0VqsjlvCF9Wjd8/hR86z9+Dz+Qyk3cIqIprFL/oAZc9amTYOkCrh/9fk4ioqh5P+9Bom8MqSVl42t/dlJJrr11ZTvaptlI5wNocFBvxMJuMtGoCAgYusCGJfNwdEMc9XETugZcdtaxuPqBwy+T/vDihTB0gXzeG/cCFxM9JfBdIcStAC4E8P8JIewJOMbPAcyXUi4AsAfAPwCAEGIegC8AOBnApwFsEkKMr+dVophUgL4OzSvvewFg3UYqUTiO3UAW35wH+tp+1f0vwlVgkkhhO5uBZjbGoSvQmeUHEo/t2o+1d+7ERbdtx9o7d+KxXfvhy/DOu9tf7N16STu2rVmMWy9pR0vKVjoWlFh+v0L+CDEURixycaxwLiYqYhxXZA5YdaeQczp682rkehoxy9DL/pytGmxjl7AEOntd/MXm7Th346/wF5u3o7PXRcKqTYxlKqxamnFqM+ish1hbh3nsihTOxylLx8dOasXFm7fjYxt/1fffk1qRtLgSABH15dyKOQ4CRlhL9Y5BV87F2kH3zivvewFX/9lJrBGJSC1HqD1XbXkW+3ocJfq8iYiixvED6JqArglcPWCiE9CXa9du3QnHC2BoAj35AIEC42FEAzUnLaRsA8+92QkpJS7evB1SojjRCeiL9S/e/RyyboBDjjfuY070E+OFAH4G4NP9qy9NB3DVeL6glPIxKWXhO90OYGb//y8FcI+UMi+lfAPAqwDOGM+xVF6Ng6hA5Tj2K7RdhRu6EMD1yxYUB0ZmNsZx/bIFUOG5T9cEPjmvtWRi0SfntdZs5YBybEPD3396Lq57eBcuum07rnt4F/7+03NhK7Bsp6kLbFqxsCQWNq1YCFOB5ZFchfNH1OJY5VxMVMA4rmx63MItK9tLcv0tK9sxPW6F3DKaSE1JC5svXVTyc9586SI0Jav/cz6UDcqucnkoW5vJRmFf/5YmcOOFp5Sc+xsvPAVWDYrruKlh4/LSun7j8gWIm+HVoWH/PMYj5wX921HNw7Y1i7FhyTz84IlXkFNotRYiqh4hKj+Hun4AS4Hn6IJKKwMeVR9DTIG+DCKigiPVnhuWzMNNj+9RauU9IqKo8AMJxwvwi9+9h6PqY2VzbdYN0NnrAAA6004YzSQaM9PUMS2m45Kzji32BVUa++/oyU9IPTGhewFJKTMA/m3A798D8N4EHuIvAWzr//8Z6Jv8VLC3/7Mx0/rf4Bx4wmc2xrnMMClF5Tg2dQ1rz5mN5YuOga4J+IHE/TveVuJNvkACP376jZJtTn789Bv4eohbwY2UqQt86bw5WH/X4T1Uw56cE1RY5eveNYtDa9NIOb7EIy+8i9svP70kji8569iwmzYsXen8Ea04VjkXExUwjiuLxQyc0JTEtjWL4QUShibQFLcQm4B9xik6NE1gblsdHlx/NhzPh2XoaEpaNbkGKg781mhyi1Hh+q/VyhQxS6AhaeG6pfORsHRkHB8NSQuxGqxs1Ziw0VbnlRy7rS6GxoRd9WNXonI+FmLocuXXL1vArX2JCABgaBoCGZTNcYGUSk2MrPQ8rWsCMTPEhhERjVLF2lMIXPfwLtZyRERjFDd1uEGAOR+ohyYq5Vpg7daduGfNYjieH2JricYm50oIHO4Luv3y08vGemfaQWvd+PvaIjGDQAjxCyHES2V+LR3wd/4RgAfgrsJHZb5U2Z5fIcQaIcQOIcSOjo6Oiu0wNFH2DU4uNUxRMBXiOG4KLD/9mOKMzr3dWSw//RjEzei33dQEVp9zXMlKRKvPOQ6mAufd9WVxggjQN5C2/q7nJnzv9ZHGMKD22+uWruHck9qwasuzOO+GJ7Fqy7M496Q2WApM2jMr5A/G8WFTIRfT5Mc4Hj/PC7D3UBZ79vXij+/nsGdfL/YeysJTaEBOdaOpK8ZD0wRa6mzMaEygpc6u2eSSsLdSi5la2ZUqYzVa3SjnAqtufxartjyLi27bjlVbnsWq259Fzq3+sTVNYHZzEvNn1GNmYxzzZ9RjdnNywn/2o4lhlfNxueXKr37gRSW2Sabh1SoX0+TVnLJhVchxf3w/B78GfQATEcdB/+T3Srk6boU3YZamBuZjmkiV8pkQ1a3lGMekOsYwDac5ZQP9z8gHenPla+BDub6xMF9ChDCzlHFM49WS6nv2KfQFbf7167h10A4J1y9bgAd2vjMhfW2RePVYSvmJI/25EOIyAEsAnC9lsYzaC2DWgL82E8AfKnz92wDcBgCLFi06YhmWsPSSNzgTlj7C74KoukYax6YuysaxCltoOZ7EgZ48Njz0UvGt343LF2CaHYlUdUSGLtBaH8OWVWdAE30rPZmGgGFE/7wHUqIlZZesSnXLr15DMMFPraPJxUd6IzLqGmIGWurskmuwpc5GgwKrfRi6QFOqdBWFppQFQ4H8EcU4Zk1BUcU4Hr+ujIN0vnRP8XTeQ1fGQeu0WEitmlpGE8cqsvS+rdQKK10W6uJaTZ42DaAhYZbUtpYhYNaonKm0FZDr12ZCYWGSWzWNJoY1Uf4ZT1Pglfpa1WgUjsmei6n6NE3AhxzyHBq3dGz65au4tgarZU9EHPfkHQhUrp1VWImP1MZ8TBOpUu3pBRKnzWrA8+8cLL/qwDgxjkl1jGEajqYJSPT1b3zjpy/jG0tPHlID//O/7yqOhYUxLMM4pvEyDA2B7FvQ4rRZDTh/XhuaUxbu+Msz0JV20Jl28OOn38Cqs4+dkH7OyC8zIYT4NICrAXy2f5u8gn8H8AUhhC2EOBbAHADPjOdYhUkiA6kySYSooDFho27Q5KA62wh124WRcitsXVar7TrGw/MlDqYdvNOVQUdPHu90ZXAw7cDzot/2hKXj2s/OK95ULF3DtZ+dF+qAdmvKxs2DZvrevLIdranox7FlGTimIY4T21L4QH0MJ7alcExDHJYV/clO9TELMVPHrOl9q1fMmp5AzNRRH7PCbtqw7P64HRzHdkgrarGmoMmg0iC6CoPr1RZIOWRFFUMTHLyfhDwvwB8OZvFWZxp/OFi71bssA2junzy9bc1iXLd0PprrbNSqnOjJBnhi1x9hGRo0TcAyNDyx64/oydZospEov7LVVM0/tgEkBz3jJW0DCrwTErkajYiiR9c0PP1KB45rSULXBBw/wKZfvoqvnH8ikjE1coXrSeT9APFBz4CGJqbsvYuI1BQEsmztmbB07D+UxzWfnYdPzmtlbiMiGiPb0DGzMY7n3zmIO3/zFo5vTaJ1Wt+41z//+y509OZxy8p2PL7rPWiaGrUw0WCaEPjkvFZc098ftL8nDy8I0JPz0BA38RdnfBAtdfaE9Gsp0DWGHwCwAfy8f7m27VLKdVLK3wkh7gWwC33b231RSjmuzSv9oG/gYtb0RPHtVT/wUaOXR4kmzuCHDUUePvwKW5cFCkx2kgAyjj9kVarotxzlNwU90uc1oOsaGuJGyWoCtiGgKzIoYlkGZigwuWkww9BwVF0M+3vz8AIJWxNoTdkwDAXOe6U8F1L+Y01Bk0EgJcxB17/Z/2bGVCeAIVureoEM89ZJVeB5Ad7sSuOdrmzxLbvMdA+zpyerfm/szQfY+Ojvsax9FhLQ4fh9v//6BSejIVHVQwMANA2Y84F6XLx5e7G2vX7ZgpqtTKEJ4IcXn4autFs899OTJqbqwhgJ08S0uMScthT8QELXBCxDIGGaYTeNiGjcGmwDn/rw0TiUddCQsDA9aeHvP/0h+IGPnCNRHx/+a4QtCCS60w4cT2J2UwKB7FuxOmFpsBRY8ZuICOjLZe8ezBSfbee2pZD3A/gBkHU89OY9TDdMbFgyb8rW5URE49UYN/HjVafj7a4s5rQm0TmghvzO50+BrgmkbB0fOb4FTcnov4ROVI4QwLWfPRkdPXkAfePnOTfAsc1JaAIQQsDQgbrY+Be4iPzopZTyBCnlLCnlqf2/1g34s29KKY+XUs6VUv7HeI8VSImcG5SszJJzAw7okFIOpPP41n+8DKd/RN3xA3zrP17GgXQ+5JYNL2bqZd/gts3ob5njVViVavBAaBR5nixO1Lrotu3Y8NBLyDh+qKtSHUjnsfU3b6Kwc6mUElt/86YScQwAjuPh3e4M3upM493uDBzHG/4fRUAQSBzI5BHIvgl8gUTf7xWI40CWj+Ow7uGsKWgyyHsBtvznm5jZGEdLnY2ZjXFs+c834dRoZZsoq3Ql8wqfXLoyDrxBs1Q9P0BXxqn6sQMp8diu/Vh7505cdNt2rL1zJx7btb9m9xEpBa5+oLS2vfqBF1Gr21iAvvvowPt6zg0wVbNPd9ZFV6+DV/b14o/v5/DKvl509TrozrphN21YAVC+Rgu7YUQUCUEgcSjvIQgkDF3HO10ZXHnvC7j89mfQlXaVqa2EJlAXMyEEsGd/L65/9GW8934WgQSmKbBSMhERAHRn8sh7Ad48kMGBXgcSwKGsi8tvfwYX/OCpYh2nCcF+ASKiMQgCibe7M8Ua15dAXczE5v/7Gj5+w5O47PZn8N77WXiBxNy2Om6FTMqScujuEL15D+9nnb5V5EXfyt8TMfao3rITVVZuZRYilfhBgL/6k+Nw5X0vFOP4hs+fAl+ByQpCAN/7wqn4X/f8ttj2733hVCUWpgoUXpWq0vaB96xZHGKrJJacOhOrtjxbjIWbV7aH2J6RcxwPezrSWLd1Z7Htt6xsx4ktychvZdeTd3Cg18UVA9p+88p2JCwd9fFobyFYacJhmHHMmoJUl7R1XHbWB7G3+/CqNped9UEgCmc0AAAgAElEQVQk7OhPQq4FXuNTQ3fGHfJznp6s/j2x8BLAwPpyZmMcsRq9BCBl+dpW1nCyVeF5pnDsK+97AfeuPbMmx4+isGJxvKJYoxFRdBzKOdjXk8faO3eWrCT4nZ/tViZX5HIe9h/KY+3W0u/h9qfewNcvOJmDVESkDD8AOnryQ2rOlpSNvd3ZYh33k9WLa/ZcQkQ0mfSt4uQPeb6/ftkCdPQ4eP6dg8UamDUkqaw1ZaMz41TsP3/v/Rxa6mz4Mo/p8fHtLhPtUdca8wKJ3e+9j7tXL0YgJTQh8MSu9zBreg32CSCaIDIAXv7DwaFx3Bj9db+zjo9/efhlbFgyDw1xEwezLv7l4ZfxvS+cGnbThmXoGj45rxXL2mcV2/7AzndgKLDtWhS3D/Q8WZxwU2jPFVt34l4FOjo7My5++tu9uP3y06FrAn4gcf+Ot3H52cfhqIhPdurN+bjp8T0l1+BNj+/BNRecHPmtA6IWx6wpaDIIJJCwdZwQT8GXEroQ8AIfCszjrToO3leWy3nozDrwAglDE2iKW4jFon3/q8TxA9z+1Bsl98XCwGW1NSdtbL5kEVbfuaPYIbD5kkVortHkFssoP9nKMmo32aolZZec+1t+9VrNJlt5XoD9vXm4fgBT10Lf1tfxA2XrioovhXC1SyICkHWCvlUM22di6cKZCPprzm8tm49Pffc/lXiBrDPr4Nk3DgzJ0cvaZynRfiKiAscPcNX9L6IlZeO7F52K5pQNXRPYtHIhbnxsD+7dubdYxzWnoj/pnogoaoIgQMo28dd39I19nTarAf/4mQ+hOWXjpr84Db6U+OETr8IPJFzXh8mJpaQo09TL9p/vfu99HDM9gZY6G4YmoGsCPY6DRiM25mOp2etcJXFTQ/uxzbh48/aSFS3iZvQnKxAV2BXi2FYgjk1doKWudHnvljoLhh79GcyGBlz1qbnY250D0Lf83lWfmosQx0RGzNRE+YlaIc4cd4PyA1yuAh2FugZ85pQZJatSbVqxEArMe4MQwGVnHVvctqbwVoEKLxGYEZtwyJqCJgNDA3rzAa7YWrrKXtQnP9ZC1CZYRkUu5+GVzvSQFQLnNCWVnPCkVbgv1qo0tU0N1y2dX1xZrZb1fFPSwuZLF2H1HQMmW126CE3J2mzFY5sa/vf/OAlfvffwarU3XnhKTc6B5wX4/b6eIat0ntRWF9qEJ5XrioqrlNVo4hwRRZvjB7iofSbO/VDbkBx30xcWwFTgQTpWIUfXxw0YWvTbT0RU4Pf3x/7jZz6Ev9l2eOeFjcsXYPVHjwUAPP16J+KmzhVHiIjGwJd9L1AOnOg0JN9+7DikYjq6sy5aOdmJFDa4//zKT8xB+7HNuOi20uemY6aPbwI1n7gGyLlB2ZVEci73HyZ1qBzHlq7hS+fNwXUP78JFt23HdQ/vwpfOmwNLgc4tQCDj+CWf9P0++g9+MUvDl88/seS8f/n8ExGzwjvvttE3wDWwTf/7f5wEW4HZY64vsf6u50quwfV3PQfXj/4AuJQoDugCfW2/+oEXlVjFJW6KsnEcN8O5BlXOxUQFWad8HGcdxrGpa5g5aNXMmY1xJVZ0rKaurFM2ZrqyTsgtG5sw74udaQeX/ugZrNryLC66bTtWbXkWl/7oGXSma3cuU7aOLavOwBNXfgxbVp2BVA23sPR8WZzoBPSd+6/e+wK8GtRTHb354kSnwrHXbd2Jjt581Y9dicp1hWUI3LKyvZgzC5PHLCP6z0lEVH26JvA/F84sm+MWfrAJdkjPc6NRKUfrQqApbobcOiKikTM1ga+cP6c48A4cXsV4b3cO6849nnUcEdE4SCkhRN9z8bpzjy+fb7uyyDoBNAE4jhdyi4nGbnD/+dIKz329ufH1bU3t3vhBvApvaHsqjPIS9VM5jnNeUHaSSM6Lfid+pW0YVNieIVNhMDsT4mB2IFF2gEuBMFb6Gqy0UomvQBynK8RxOqQ4VjkOiAoYx5XZFQbv7Sne6etWiBkVVmYsp+J9sQbfj+P5ZY/teH6FfzGxujJ5dKVdXH77Mzjvhidx+e3PoCvtoitTmwk/eS+o8P1X/77u+OWP7frh1cYq5+O8G8APAly3dD62rVmM65bOhx8EyCswUYuIqs/UBAJZOcflFJhkf6QcbdvqrWxJRFOXbWqY3Zwom9MSlg5dE6zjiIjGwTJ07D+Ux/e+cCqaklbFfOv6ARxfojvrhtRSovGz9NL+c3mE577x4BPXAIYmyi6vHuZWTkSjpXIcB4pvCZNxfGx46KWSJSdVEMXz7lYYZPJCHGQaKZWvQb1C23UR/bZHLY5VjgOiAsZxZa4vETMFtqw6A5pA/2TcQIlV/KppssVMxftiDb4fy9Cx9pzZWL7omP5BBYn7d7wNq0Zbf7m+xBfvLn0J4Yt3P4f71p1Zk+NXOve12C4jzGNXovK15QYSX7z7+SFtv2fN4hBbRURRMT1hYX9vvuL9NuqTOnM5T+kcTUQ00DTbRN4Nyua0jOPD0AR++MtX8fULTg6xlURE6mpKWujJuejJuaiLmUfItxo8P4ChwNb1RJUIAUyLG8X+82o9N/EqGSBmarh50BvaN69sR4zJhBSichwXBhYGqtWA0nh5gexf0rd0ycmod8wB0Tzvldqkwn7wpi6wacXCkmtw04qFMPXot10I4PplC0rafv2yBVDgtEcujlXOxUQFMVMrm88Yx30rv1x133/jtY5edPTk8VpHL66677/hKDApt5pUvgeWE+Y1UGfquODUmVi15Vmcd8OTWLXlWVxw6kzUmbWZ7ORUWFnJrdGKq4YmsHF5aU2ycfmCmgwcxy2t7LHjIW7xrHJdUWnFFhVWwCWi6jNNHTGrfI4DZOT7g97Pu7AMoWyOJiIayDR12KaGWy9pH1ILz2iMQdOAZe2zWMcREY2RpgnMbkpi5vQ4EpZeMd8aOmAaGpwp/lIlqa0xYcPQRLH/vFp9W1zZaYCcG2DnGwdw9+rF/ftmCjyx6z1MP/mosJtGNGIqx7HWP9Hi6gdeLK6OpMpEi4qryijw8BfF814Y4CpMIKvlANd4ub7EIy+8i9svP71kJYZLzzo27KYNK5DAj59+AxuWzEND3MTBrIsfP/2GEm9sRS2OVc7FRAXTbBPphF+yepFlCEyzzbCbFrqYqaOjN4+1d+4sfjazMY5YjSaiRJXK98BywrwGunMu1g3annXd1p24b+2ZOCpW/cf4sFc30gAkLB3XLZ2PhKUj4/hIWHpN3tZqjNtom+aVHLttWgyNcbsGRy9P5boiZuplY2mq50siOiznlM9x5887CnrE5wu5gcQr7/XirQM9Q9rfNP/osJtHRDRqjQkbni/xg784DQ0JC3r/dqN3b38TF57xQRzXnGQdR0Q0Dpom0JSMIQgkBFA23y4+vgVz2lLK7HpDVI6mCRiahuse3oW93Vk8dfXHq9K3xclOAwgBzPlAPS7evD0SA6VEY6FyHFeaaHGNAhMtlN7+K4LnXaD8AFf0z2bfNfjRuW1YteXZkmtQgVCAqQmsOvvYIZPMTAUSSNTiWOVcTFRgmjqOqothf28eXiBhawKtKRsmOzbRnLSx+dJFWH3HjuI1vvnSRWhOhjcZIgoq3QNVzX1hXgNOhS193RqtHmZWmHheq5rANAUSlo6utFv8LGHpMM3qH7/wpmVdzITj+bAMHU1JK9QVRlWuK5gviWg4lXJcxvGQsqPdde0HEt9//BX83afmlrT/lpXtmB7jCwJEpB6tf7A97fj40k/+qyQv51wfDXGTdRwR0QTQNAEhBAxdw8r/tzTffudnu/HdL5yqxMv/REfSnDrcJ1Stvq1oPzHWmIzYQCnRWKgcx0IAl511bGRWZhmNiqvKRPwtRKCv7VE774GUGDxnXfZ/HnkVrsFrFbgGfSkRHzTJLG7pSpz3qMWxyrmYaCDT1DGjMRF2MyJH0wTmttXhwfVnR2YyRBRMxtwX1jUQ9spKtinQXGeX1ATNdTbsGkw2AoD6mI3enI9Z0xPFVbVsQ6A+VpuBFU0TaKmLziCOytcW8yURDatCjvvan30o8v1BhibQ0ZvHd362u9j+jOOjJWUhVoOVGImIqkNUzMtCgHUcEdEEMXSBlpRV7Hs5mHXxnZ/tRkdvHromIl8LEw1ncJ9QNfq2+NQ1gKEJrD7nOHz13heKA6U3XngKZ06SUmKWVjaOY1b0Z90IUf5B6p+Xzg+7acOK2qoyoxHFtgcS2PTLV7GsfRYS0OH4ATb98lUlzmdz0sJXzj+xuPVM4a3O5qQVdtNGQJQ979d+ltfgaLGmIJr8ojYZIgqY+yZO2Csrub7A7/9wEKd9sAl+IKFrAs+/1YmG41trcnxNE5jRkEBn2uEEGah/bTFfEtGRTI9b+F/nn4i1A56hf3jxQmx75q3Ib4VraAI3XngKvnrvC1h7585ifiYiUpmpC2XzMhGRShriFvb35JCy9SHP+11pB01KjCkRHVmhT2jf+9mq9G1xstMAtinQkLRK3l5tSFo1e3uVaCI0xm00pbySOG5K2WiMR79zuSVpD3mQunVlO1oUWBpX10TZVWVUGIBoTdn48vkn4ooB5/3mle1oTYV33luSVtk2tShQ3FmWgRNbkti2ZjG8QMLQBFqSFiwr+rfc1pRddqJWmLEwUrah4UvnzcH6u54rtn3TioWwjXAmerKmIKKpiLlv4phG+ZWVTKM257IpaeGEtnp84bbtJVuP1bKjjRNkDuO1RUSTWSxmYFaTjbv++iPo6MmjM+3gh798BV8+/0Qk7Wi/uMf8TEST0TTbgDkdSuZlIiKVaJpAc9JGb750TNcyNMQtHXEFFrEgGqlqPTtFf+S1hsJ+e5VoImiawOymJOpipnJvQRuGhrltdbh37Znw/ACGrqE1ZcMIabLCaOiaVnZVmW9+bkHYTRuWaeo4qTVVMjmnNWXDNPXQ2mRZBuYqOmEI6Gv/DEXaOpBhaDhJ0WtQQuCRF97F7ZefDl0T8AOJ+3e8jb/+6AmhtIc1BRFNRcx9E8cPBJ7asx/nzTsKUkoIIfDErvfwmVNm1uT43HosWnhtEdFkl3cFXnynC6d9sAktdTa+fsHJeP6tTnxgWrTzHPMzEU1GlmWg+5CnZF4mIlKNYWiYnrSQdwOkYgZ0TUDXBH7233+oWR8QUS1U69lJvZHYKorC26tEE0Hlt6ANQ8PRDfGwmzFqTUkLX/3TuVh9xw4l84dp6pjRmAi7GSVUnTCkOpWvwf+5cBZWbXk2EtcgawoimoqY+yZOU9LCR45vwcWbubIS8doioslP1TynaruJiIbTkrKZ3xQ2+2uPhN0EIhqFhriFfYfyWPH//BdzLk1a1Xp24ijyAHx7lYjGivmDKFxRuwaj1h4iolpg7ps4PJc0EOOBiCY7VfOcqu0mIhoO89vE4uQjIjoS5lyaCqoV55zsNAjfXiWisWL+IApX1K7BqLWHiKgWmPsmDs8lDcR4IKLJTtU8p2q7iYiGw/xGRFQ7zLk0FVQjziM/2UkIsRHABQAcAK8BWCWlPCiEmA3gZQC7+//qdinlulAaSVNaEEh0pp1IzbaNYpuIRotxTERTUdRyX9TaQzSV8PqjgRgPRDSVqJLzVGknEdFYMc8REYWLeZgmk2rEc+QnOwH4OYB/kFJ6QojrAfwDgKv7/+w1KeWp4TWNprogkNi9rwer79hRsr/k3La60G42UWwT0WgxjoloKopa7otae4imEl5/NBDjgYimElVynirtJCIaK+Y5IqJwMQ/TZFKteNYmsI1VIaV8TErp9f92O4CZYbaHaKDOtFO8KAFgb3cWq+/Ygc60wzYRjQPjmIimoqjlvqi1h2gq4fVHAzEeiGgqUSXnqdJOIqKxYp4jIgoX8zBNJtWK58hPdhrkLwH8x4DfHyuEeF4I8aQQ4pxK/0gIsUYIsUMIsaOjo6P6raQpw/H84kVZsLc7C8fzJ/xYI43jWraJaDRGk4sZxxRVrCmommqV+1hT0GQw2fMxr7/Jj7UxTQaTPRdTOGqd88Yax8zNFCXMx1QNquRjoqhgDNNEC6PeZBxTtVQrniMx2UkI8QshxEtlfi0d8Hf+EYAH4K7+j94DcIyU8jQAfwvgbiHEtHJfX0p5m5RykZRyUUtLS7W/HZpCLEPHzMZ4yWczG+OwDH3CjzXSOK5lm4hGYzS5mHFMUcWagqqpVrmPNQVNBrXKx0Eg0dGTx7vdGXT05BEEsmrHGojX3+TH2pgmA9bGVA2Vcp4Qoir34bHGsWlozM0UGczHNNGCQEIIUdM8xzgm1TGGaaJVqosBVK2PinFM1VKt56dITHaSUn5CSjm/zK+HAEAIcRmAJQBWSCll/7/JSyk7+/9/J4DXAJwY1vdAU1Nj3MQtK9uLF+fMxjhuWdmOxrjJNhGNA+OYiKaiqOW+qLWHqNYKe8l/btNTOPv6X+Jzm57C7n09NZnw1JS0sPnSRSXX3+ZLF6EpaVX92BQ9zMdENJWUuwdev2wBrv33l2p2Hx5OEEj05jxsXL6A92oimnQKz0HX/vtLuH4Z8xwRUVjK1cUbly/Al+5+vqZ9VETjVc3nJ2MiGlhNQohPA7gawMeklJkBn7cA6JJS+kKI4wDMAfB6SM2kKao76+L7j+/BhiXz0BA3cbD/99/83AK01NlsE9EYMY6JaCqKWu6LWnuIaq3SXvIPrj+76teApgnMbavDg+vPhuP5sAwdTUkLmiaqelyKJuZjIppKCvfAe9eeiT8czKIz7eA7P9uN5985iF3v9dTkPjyczrSDS3/0DFpSdjE3ZxwfbdNs3quJSHkDn4M6ehxsWDIPTUkLRzfE8YFpMeY5IqIaGdg3lHV9vLa/F99+tK8uBlCzPiqi8arm81PkJzsB+AEAG8DPhRAAsF1KuQ7ARwF8QwjhAfABrJNSdoXXTJqKHM/HY7v247Fd+0s+v+aC6u2XOpwotolotBjHRDQVRS33Ra09RLVWrb3kR0rTBDusCADzMRFNPZomIKXE8lt+U/J5Le/DR1KoEfZ2Z7H2zp3Fz5+6+uNAMsSGERFNgIHPQc+/c7CY5566+uOc6EREVGOFvqF3uzNYteXZkj+LSm1MNJxqPj9FYhu7I5FSniClnCWlPLX/17r+zx+QUp4spTxFSrlQSvnTsNtKU0+l/VKrtW/1SESxTUSjxTgmoqkoarkvau0hqjVeAxQVjEUimoqinPui3DYiovFijiMiih7mZlJZNeM38pOdiKKs3H6pYe9bHcU2EY0W45iIpqKo5b6otYeo1ngNUFQwFoloKopy7oty24iIxos5jogoepibSWXVjF8VtrEjiqyB+6U6ng/L0NGUtEJdzjWKbSIaLcYxEU1FUct9UWsPUa3xGqCoYCwS0VQU5dwX5bYREY0XcxwRUfQwN5PKqhm/nOxENE6F/VKjJIptIhotxjERTUVRy31Raw9RrfEaoKhgLBLRVBTl3BflthERjRdzHBFR9DA3k8qqFb/cxo6IiIiIiIiIiIiIiIiIiIiIiJTAyU5ERERERERERERERERERERERKQETnYiIiIiIiIiIiIiIiIiIiIiIiIlcLITEREREREREREREREREREREREpwQi7AUREREREREREREREREREIzX7a4+M6d+9+a3PTHBLiIiIKAyc7ERERERERERERERERERERDXDCWtERDQenOxERERERERERERERERERJMeJ9gQERFNDlrYDSAiIiIiIiIiIiIiIiIiIiIiIhoJruw0iOcF2N+bh+sHMHUNrSkbhsE5YaSWIJDoTDtwPB+WoaMpaUHTRNjNmvR43icWzyeNVtRihjUF0eTGa5yqjTFGAzEeiGgyUy3HqdZeIqLRYI4jIqod5lyaKqoV65zsNIDnBfjDoSwcT0ITgOv7+MOhLI6eFmdiIWUEgcTufT1YfccO7O3OYmZjHJsvXYS5bXVKTBRR9cbO8z6xgkDi3YMZ5PvzcdYNkHM9zGhIKHE+VRa1CUMjFbVrkDUF0eTGa5yqjTH2/7N3/+FRlPf+8N/3zOzsrwQSQkCFqKhICxaEoEXo01rt13Iqar2gavmh0pafWvv0tGrPqVTPQ3udKu3jUSsCnlMQxYqF9thHW/tDa3uOlipg5VgqeiwqqJAQEvJrd+fX/fyx2WU3mQ0Jye7MbN6v69rrIkuS/czkM/d9z8xn7ptyMR+IqJwFrY0LWrxERP3BNo6IqHTY5tJQUcxc55GS41jSQNK0ceBoJxrbUjhwtBNJ08axpOF1aER91tRhZG/2A8DB5gSWbN6Jpg7/57FlOXjjcBuuWf8nfGrNC7hm/Z/wxuE2WJbjdWgndKQj5brfj3SkPI7sxCzLwTtHO7DvUBsOHUti36E2vHO0w9P9fiyZQnOniRs3voxLfvgH3LjxZTR3mjiW9P/+DLJMwdDVa1/ErLt/j6vXvoh9h9vgONLr0E7oSEcK9/52H1bNmYitS2dg1ZyJuPe3+zw7BjmmICpvPMap2JhjlIv5QETlLGhtXNDiJSLqD7ZxRESl05YyICXQ0mngrYZ23PPs39DSabLNpbJTzPEFi51yWLZEwrDz3ksYNizb/zd5iTIMy0ZtRRjrF9Vj69IZWL+oHrUVYRiWfeIf9lhDewrLH9uVVzC0/LFdaGj3f4FLyrSzcWccbE4gZfq/UOtop4HGthRWPfU6rt2wA6ueeh2NbSkc7fRuQNWZcrByy+68XFi5ZTc6U/7fn0C6aKixLYX3m9MddxCKhYBgF+3ZjoMbZo7D6qf34toNO7D66b24YeY42B7te44piMobj3EqNuYY5WI+EFE5kxLQFAWVEQ0tCRM/efldNLUbvm3j2CYTUTljG0dEVBqmaaM1aaOxLYWmDgPbdx3ADTPH4UfPv4VkAO4rEvVHMccXvl/GTgixGsBVABwADQBulFJ+IIQQAO4D8DkAnV3v7x7IZ0kAnYaNVU+9nl0CZ828yeAwjoIkoiv45899BF9/8rVsHt97zRREdP/XNpq241owZNn+79gVIXDZxFGYW1+HqmgILQkT23cdQABW/4JhO7h12568Apdbt+3BE0tneBaT5Uj3XAhA0ZDjSOw71IYlj+Ysp7ZoOiac4v8lDZMFivaSpv+LJR0HuH17fh7fvn0PtnqUxxxTEJU3HuNUbH7IMb8tczyU+SEfiIiKwbIcHG5NYVnXg29jq6O4e+5kbHxxP75zxSSvw+vBcSTbZCIqa2zjiIiKz7IcvNnQ3mMM/MhL+zG3vi4Q98GI+qOY44sgXKlcI6WcLKU8H8DTAL7T9f4/ABjf9VoK4KGBfpDlSNcb/mxUKEgMS2YLnYB0Hn/9yddgWP7PY11TMLY6mvfe2OooQgG4qRLSBG6+ZHzerDI3XzI+ELE7BQqLvJyNKKQquGziqLwZyi6bOAoh1f/780h7KlvoBHTNjvToThwJwAxlmaK97vtdEf4u0gIARxbIY4/SmGMKovLGY5yKzescsywHH7Qm0GnYsB2JTsPGB62JQCwvXY68zgciomI50nG80Ak4/tDK3Po6X86Q3GkYbJOJqKyxjSMiKr7exsCnDItA8/lD80T91dv4whzgZAu+n9lJStma82UcyBZ5XQVgs5RSAtghhKgSQpwqpfzwZD/Ljzf8ifrLsNxnRzIDcGNCFQIPzp+Kox0mYrqKTsPGiHgIagAKLUxLui675tWsMv2RKSzqPiuVl4VFkVC6eCyzT8dWR7F2wTREQv7PhUSAZ0eKaAq+esl4rMjZ7w8tmIZIAIr2VMU9j1WPTgw4piAqbzzGqdhsj3PsWNJA0rTxfnMyOy4fUx3BsaSBmopISWKg49jmEFG5ShW4hnXKsIgvHx7rTDme99FERMXEcScRUfH1NgauioUQD/tvHEw0EL2dQx1LmhgZUk/6dwfiaBFCfE8IcQDAAhyf2WkMgAM533aw672Tpqnus8poAZhJhChDVYRrHvt9+SwAsBwHSdPBqqdex7UbdmDVU68jaTqwHP8XatkFZpWxpf9PBDXVfVYqTfUuZzoNx7V4rNPwfy4E+Rg0bCdb6ASk9/uKLbthDMK6ucWmF8hj3aM85piCqLzxGKdi0wqMJ0pVxGvZEk3tRt64vKndgBWAMUE5YptDROWq0PlzVSyEkA/PoR2kZxV2izkygAv0RER+wXEnEVHx9TYGfnzHO+hI+f8+GFF/FLrOaUsJe4AF1b6Y2UkI8TsAp7j817ellE9JKb8N4NtCiH8CcDOAOwG4nfG67g0hxFKkl7rD6aefXjAORcB1VhkfnlvTENTXPI7qimseR3X/n5BICXzjp/lL8H3jp68FYnYkVaQb6tyCp7HV0UDMSpWy3AuLnhjk/d7XHAYKV/kOtNMrhYim4Mc3Tu8xE0IQZkcybff9btn+H1wXyuPBbj84pqBy0J/2mNzxGPdeueexpgjce82U7PLUY6ujuPeaKSWbytx0JDa+uB+r5kzMzpi48cX9+M4Vk0ry+UNBf3KYbQ75Vbm3xVR8EU3BpsUX4MDRRLZ9q46H8L1n9pasz+lPHluOxBN/fhebv3QhjnYYaOowsH3XAXzt0nMxsiJcinCJXLE9psHi5biTeUxBxxymvuptDDy3vs7TpUOZx1QMmiKwbmE97n/uTcytr0NNXMeIuI4n/vwuFs0cN7DfPUgxDoiU8jN9/NbHATyDdLHTQQB1Of83FsAHBX7/BgAbAGD69OkFWwhHyuysMpkLyj/8whTIAMzMQuWvr3k8TA9BVVJ5ebxuYT2G6aGSxXqynAKzIwWgvgWKAvxo/lQ055wIVsdDgZjNp1RTsPc1h4H00npuxWNeLq3XH8c6zbxj8N5rpmBETPc6rBPKVFf3KNoLcB4PdoEcxxRUDvrTHpM7HuPeK/c8ro6G0BrXsfqq87Jjy6q4jupoacb0igBumDkOt2/fk83xu+dORiknTLQsBw3tKZi2g5CqYFRFGFoAisf7qj85zDaH/Krc22IqDT3MEbUAACAASURBVLf2rbHNKNmSSf3JY0UAn5wwGtf/+OVsvA/On4baSj0Q13+ofLE9psHi5biTeUxBxxym/kgUGAPXxPWSPejmhnlMxTAipkMI4KZPj8dNj+8e1GuNvr9SKIQYn/PllQDe6Pr3LwBcL9JmADgmpfxwIJ9VaFaZIBRaEGUc6TCw/LFdeXm8/LFdONJheBzZiSmiwPJfAbhepAoFppW/BJ9pOYGY2SlUYPpALwdUI2MhbFx8ATbeeAG2Lp2BjTdegI2LL8DImP+L9pKWk52FAUgfg19/8jUkLf/PjqQpAg/On5q33x+cP9XTXOirUIFptr0qkOOYgqi88RinYtN1DWdURXHu6AqcMjyCc0dX4IyqKHS9NM8rSYlsoROQzvHbt+8pWY5bloMPWhPoNGzYjkSnYeOD1gSsAIynioFtDhGVq6Tl9LiG9Y2fvoZbLh2PkA8LXN36x5se3w2Ty7wSUZnguJOIqPiSloMVBcbAo4dFEAv7bxxMNBChkArTltlCJ2DwrjX6YmanE/i+EGIC0suivwtgedf7vwTwOQD/C6ATwOKBfpBdcFYZjuQoOAzbcc1jMwDLUAlRYHYk/9dZwLLdC1yeDMASfNGwgo03TsfBnGXXxlZHEPVwQNVmWGhN5M+OdN9156MtFkJNiW7ynawgL8EnBKAqSo+Z4QJQswc9JFyn2dZD3gTPMQVReeMxTqWg6xrGeDTu8Xo8cyxpIGnaPZYFPpY0UFMRKfrnO45EU4cBw7Khaypq4t7O2ME2h4jKVaH+ZlxtHBHNfyeibI+JqNyxnSMiKr5CY+AzR8aQtGzEHBY7Ufkp1hjD90eLlHKulPI8KeVkKeUVUsr3u96XUsqbpJRnSyk/JqXcOdDP0grMKhOEmVmIMrQCs/QEYRkqVQjX2ZGUAByDVoHBiRWAE0HTAlq6ll3L7PeWThOm5V1MSdPB1574S17x2Nee+AuSpv+L9vw2w1B/WA5cZ4YLwiQKlnV8mu1MHidNB5blzTHIMQVReeMxTuWu0DlFqWZ7tGyJpnYjr19vajdglWDmDMeR2He4DVevfRGz7v49rl77IvYdbivZckpu2OYQUbkqNNO0lBKGR+dyvWF7TETlju0cEVHxFRoDQwJrnn0jEPfBiPqrWGMMf0+PUWKKIvAfN9RDVVQoAnAkYDs211ynQAmpimseB6HQwpZwnx1p2UUeR3ZiatfgJLfgKSgngkaBWame8HBWqkLFY0GYHSmzBN/Bo4njM2WNiAZiCT7LdlBbEcaqORNRFQ2hJWFi3Qtvw3L8P7i2HOk6zfZWj/KYYwqi8sZjnMpdTUzHuoX12SLozGyPNTG9JJ9vOhIvvHEYG2+8AKoiYDsS23a+h7qZ44r+2U0dBpZs3pk3pliyeSd+vnIWaivDRf98N2xziKhcjYjqeHzJx2FYMtu+WY6Nf/3l3/CdKyZ5HV4PbI+JqNyxnSMiKr6CY+Bf/Q1z6+tgBeA+GFF/FWuMwWKnHIoADBtY8cjL2Qu6Dy2sD8QSWkQZIsB5bDnuS/AFoWNXFODuuZNx+/Y92f1+99zJgTgRLDRlppdPrxcqHgvC/mwzLRimnfeeYdpoMy3fL8EX1hTcNnsCbt12PI/XzJuMcBCKJX1WIMcxBVF54zFO5S4c1jB+ZBxbl86A5UhoisDImI5wuDRjGV0VuHzKGCze9Er2GFu7YBp0tfgHmWHZrsXfhmWf+IeLhG0OEZWrhG2hNWHlFdc+tLAeVVHd02sShbA9JqJyx3aOiKj4ehsD18T1ks2qTVRKxRpj+P/uZQlZtsSKbsv3rHhsV0mmyicaLKbluOaxEYB1qCKa6jqFXUTzf1MlpcAjL+3HqjkTsXXpDKyaMxGPvLQfAVjFruCUmV4OqKIhBWvmTc7GlSm6iYb8nwumJdGatPKWXWlNWjB9OAV/d7ZEttAJSLcft27bgyB0g1qB5QM1jwq1OKYgKm88xgszTRvvN3fi3aYOvN/cCdP0rkBkMJTb9vRHOKxhTHUMZ9TEMaY6VrJCJwAwbYmVW3bnHWMrt+yGWYJjLKKni79XP70X127YgdVP78Vtsycgons3DmWbQ0TlKmE4PZZSX/HYLqz49Nmencv1hu0xEZU7tnNERMXX2xi4tjKMmIfXH4iKpVhjDB4tOcwCs0KYPnySiKiQoOexW4FLEOiqwM2XjM+7KXLzJeNL8vT5QMXCKh5aMC1vvz+0YBpiYdWzmKpjYYyujGD1Vedh69IZWH3VeRhdGUF1zJulQ/rDcqRrwVAQZiiz7AKzq9n+L5YcVRHGuoX1eXm8bmE9RlV4kzNBb4uJqHc8xt2Zpo03Gtpx7YYd+NSaF3Dthh14o6E9sAVC5bY9QVJoSeNSjKcM030sZ5jeHd9sc4ioXBVq3xQhMCLiv6Xg2R4TUbljO0dEVHy9jYEf3/EOPjiWghWACSyI+qO3McZArrX6ez2dEiu0bJLK6eIoQIKcxwnTxj3P7stbMuKeZ/fhvuvO9zq0EzJsiWdeex8bb7wAqiJgOxLbdr6HG2ad5XVoJ2TYEg88/1befn/g+bfw3as/5llMiiJw+ogYIroKy3agqQpGVYQDsYyd7UjXpU/8OAV/d0qAlw/UNAUfGV2JJ5ddlJczmkczwwW5LSaiE+Mx7q6hPYUHnnszf0zx3Ju484pJGFMd8zq8fiu37QkSrcAxVoqZR40Cxd+mh8XfbHOIqFz11r4dTZo4LeKvS9dsj4mo3LGdIyIqvt7a2mln1uC+372Jf7nqPJw6PNrLbyEKlt7yvqE9ddLXWjmzU46IpmBtt9lN1i6YFogltIgyoiH3PA7C8l+qIlBbqee9V1upB6LQQhHAJyeMxuJNr+CSH/4Bize9gk9OGI0ATOwE03Lwm70NWPboLly7YQeWPboLv9nbANPDynHHkXivuRP7DrXhw2NJ7DvUhveaOwNRMBTR3Jc+CQegL4mGFNdZvoLQfgDpgqfTqqI4vSaO06qinhU6ARxTEJU7XXVfblX34XIrpaQI4IaZ4/L6wBtmjhvw2uteKbftCZKYruChbjM2PrSwviRTuYd8tjQuwHEFEZUvXVVw7zVTeoypOg0LEtJ3T7SzPSaicsd2joio+ApdV/zq469mrz050n9jYaKB6O3cbyDXWv31eIzHDMvBj7rNbvKj59/CXVdM8jo0oj6zHbjm8Xc/790sPX0V1xXcfMl4rNyyGwebE9mTqXgA1qe1HYnbt+cvd3H79j3YunSGx5GdWEhTcNnEUZhbX5fNme27DiDk4UlscyKFw61JrHrq9WwurJk3GcNjGmriEc/i6gu7wDJ2TwYgF2wHeNplhrIv/19nex1a4HBMQVTeqiIaaivDWH3VeYjpKjoNG7WVYVT5bPaBUnMkAjseclNu2xMklWEdIysc/GTJDDhSQhECmpp+v9gyS+Muf2xXdhzq5dK4AMcVRFS+qiIarOpodkyVmeG7sT2FJ5bOwNFOA6OG+ecaANtjIip3bOeIiIov97pi3YgoDhxN4J5n9+HVAy0A0tei/DgWJhqI3s79BnKtdWhfje/GkhK/2duA3+xtyHv/jjkTPYqIqP9M23HN4zuv8H8FcNKU2UInIH1DaeWW3fjpsos8juzE7AJrjdoBmIlIVwW++dkJeL852fW1gm9+dgJ0D6elShiOa8HQE0tnAHHPwuoTB3DNBf8fgYAtnewMZZmbe3fPnQxb+j+PgfSMYE0dBgzLhq6pqIl7NzMcxxRE5U3XNZxeFUU0pMJyJDRFoDauQ9eH9umVLQuMhwLSj3RXbtsTJJqmoDYeQUN7CtKW6Rlg46VZntZvS+MCHFcQUfnSdQ12ewqLN73S4/9M2ynJ8qX9YbM9JqIyx3EnEVHxZa4rxkIqTEf2GAsfbE7AsPw3FiYaiN7O/QZyrdX/06WUkCaE+3T1go0JBUdIc192wctZevrKsB3UVoSxflE9ti6dgfWL6lFbEYZp+79MRPPhchd9lTIdNLUbWPXU67h2ww6seup1NLUbSJne7fdCxWNBWMYurKmuuRDWVI8i6jvHcZ/BIgj73XEk9h1uw9VrX8Ssu3+Pq9e+iH2H2zyLnWMKovKn6xrGVMdwRk0cY6pjQ77QCSi/tq/ctidovFye1k9L4wLMRSIqb0qBNs5vtcWOI+FIuMaqsj0mojLBcScRUWnouobTqmMIFbi32NCWghWA+zJE/aEWYZzh/7vwJaQownWNTK9mhSA6GboqXNfV9nKWnr6KhlTcNnsCVj+9F9du2IHVT+/FbbMnIBLyf5FIZrmL3P3u9XIXfWUWWHbN9HAgpQe4aK8mruPh66fn5cLD109HTbz4y64MVMEZyvx2ldnFkY4UlmzemZfHSzbvxJGOlCfxcExBRENRubV95bY9FFzMRSIqZyFVwfpu11PunjsZ3//V33x1g+dIewrfe2Yv7p6b3x4/OH8a2BwTUbnobdwZhIchiYiCRhVwbXellGx3qewU4/oWHz/OkbIc3PPsvrz1iO95dh/uu+58r0Mj6rOOlO26rvadV0xCVczr6E7MrejmZytmehzViflxuYu+cgos0eJ4WOCia+kOL5MPmQ5P1/x/BVFRBCaMrsTPV87yxXJq/aEp6arq3HwIytNbSdN2zeOkRzOUcUxBRENRubV95bY9FFzMRSIqZ1JKVMdDeW3cD369D68eaMEdl/tn2aSEaeM3exvQ2GbkxaqpAoD/z5mJiPqi0Ljz3647H00dBmor/f9gLxFRkBRqd799+UcDsXIMUX8U4/oWi51yaIpAY3sKyx7dlX1vbHUUagBuUBNl2AXX1Z7kUUR9Z9qOa7FCEJaxA9JFLiFVgZQSIVUJRHELAERCqmuBi5czaiUN9w7vR/OnAnHPwuozRRGBPPmP6CruvWYKvv7ka9kis3uvmYKI7v/Z1TLTX3bPY68mteOYgoiGonJr+8pteyi4mItEVM4URYFl2Vj99N6e53M+aufUroeDXj3Qkm2Px1ZHseUrH0c4xBtRRFQeCo07AcCwbK/CIiIqW5qquLa7NRU6BDizE5WXYlzf4plYjkhIwUPdlv96aME0RHjCSgGSKVzJlS5c8X8e65p77Lrm/0ILx5HYd7gNV699EbPu/j2uXvsi9h1uC8Q0kyPjYddl10bGvSvW0TU12+Fdu2EHlj26C43tqUDkQpBVRXXUVISx+qrzsHXpDKy+6jzUVIRRFfX/EnzxsOq6hGc87E3OcExBRENRubV95bY9FFzMRSIqZzVxHbrm/3YuGlJ6nHOuW1iPyogaiHNmIqK+iIXd2+P2pMXrskRERTCqIoz1i+p73NcwLBuq4p+xMNFgKMb1Lc7slMN2gAe6Lf/1wPNv4buf/5jXoRH1WaZwZcnmndmZWbwuXOmrmrjuGntN3P8XjZo6jGzcQHpGqiWbd+LnK2f5foYfPy67FuRcCDJFETizJo7KSMg3udBXhi1dl/D87tXe9OEcUxDRUFRubV+5bQ8FF3ORiMqZoghI6f92znbQ45zz/ufexHc//7FAnDMTEfWFabu3x6vmTOJ1WSKiItA0BacMSz+AHtNVtCRM3PnUX9HYnsLPVsz0OjyiQVWM61ssdsph2o7r8l93XhGMJbSIAH8WrvRVkGM3LNt1Cb6gTO/rt2XXgpwLQee3XOgr0/JXH84xBRENReXW9pXb9lBwMReJqNwFoZ0LQoxERANV+PraJF6XJSIqkqTpYPGmV3q8b9ocZ1J5KcY5Fec/yxHkJbSIcmWKFcZUx1BbGQ7UiUhQY2f7MfiCmgvkDb8dg36Lh4ioFMqt7Su37aHgYi4SUbkLQjsXhBiJiAaKbR0RUemx7aWhohi57vtiJyHEaiHEHiHEX4QQvxFCnNb1/sVCiGNd7/9FCPGdgX5WZtmk3HUCuWwSEfUF2w8ib/ntGPRbPEREpVBubV+5bQ8FF3ORiMpdENq5IMRIRDRQbOsoKM781jMn9SLyI7a9NFQUI9eDsIzdGinlKgAQQtwC4DsAlnf9339JKecM1gdx2SQiOllsP4i85bdj0G/xEBGVQrm1feW2PRRczEUiKndBaOeCECMR0UCxrSMiKj22vTRUFCPXfV/sJKVszfkyDkAW8/MyyyYREfUX2w8ib/ntGPRbPEREpVBubV+5bQ8FF3ORiMpdENq5IMRIRDRQbOuIiEqPbS8NFYOd675fxg4AhBDfE0IcALAA6ZmdMi4SQrwmhPiVEGJSLz+/VAixUwixs7GxsejxEhUD85iCjjlM5YB5TOWAeUzlgHlMQcccpnLAPKZywDymcsA8pnLAPKagYw5TOWAeU9D4othJCPE7IcTrLq+rAEBK+W0pZR2ALQBu7vqx3QDOkFJOAfAAgP8s9PullBuklNOllNNra2uLvTlERcE8pqBjDlM5YB5TOWAeUzlgHlPQMYepHDCPqRwwj6kcMI+pHDCPKeiYw1QOmMcUNL5Yxk5K+Zk+fuvjAJ4BcGfu8nZSyl8KIdYKIUZKKY8UJUgiIiIiIiIiIiIiIiIiIiIiIvKUL2Z26o0QYnzOl1cCeKPr/VOEEKLr3xcivS1NpY+QiIiIiIiIiIiIiIiIiIiIiIhKwRczO53A94UQEwA4AN4FsLzr/XkAVgghLAAJANdJKaVHMRIRERERERERERERERFRGTrzW894HQIRERHl8H2xk5RyboH3fwTgRyUOh4iIiIiIiIiIiIiIiIiIiIiIPCKG2mRIQohGpGeI6m4kgCMlDscrQ2Vb/bydR6SUs0/2h3vJ44Hw8/4aTENhO0u1jSedx4Ocw375mzKOnvwSS6E4itUW+2W7S2GobKuft7NUYwq/7QM/xcNY3PUnlqGUx4zB+88vVgx+GRsPNj/8vQYq6Nvg+/M7YMhep/BzfH6ODShefKXIY7/v2wzGObhKGacf2+OB8uvfmXH1X19jC1oe+3mf90WQ4/dr7H7LYT/uJ7/F5Ld4AO9jGqw89no73PgxJsCfcfkxJmCQxhRDrtipECHETinldK/jKIWhsq1DZTsHy1DZX0NhO4fCNubyy/Yyjp78Ekup4/DLdpfCUNnWobKdvfHbPvBTPIzFnZ9iyfBDTIzB+8/3SwxBUQ77KujbEPT4B8Lv2+7n+PwcG+D/+HoTlNgZ5+AKSpx+5df9x7j6z8+xDUTQtyvI8Qc59lLy437yW0x+iwfwZ0wnw4/b4ceYAH/G5ceYgMGLSxmMYIiIiIiIiIiIiIiIiIiIiIiIiIqNxU5ERERERERERERERERERERERBQILHY6boPXAZTQUNnWobKdg2Wo7K+hsJ1DYRtz+WV7GUdPfoml1HH4ZbtLYahs61DZzt74bR/4KR7G4s5PsWT4ISbG4P3nA/6IISjKYV8FfRuCHv9A+H3b/Ryfn2MD/B9fb4ISO+McXEGJ06/8uv8YV//5ObaBCPp2BTn+IMdeSn7cT36LyW/xAP6M6WT4cTv8GBPgz7j8GBMwSHEJKeVg/B4iIiIiIiIiIiIiIiIiIiIiIqKi4sxOREREREREREREREREREREREQUCCx2IiIiIiIiIiIiIiIiIiIiIiKiQGCxExERERERERERERERERERERERBQKLnYiIiIiIiIiIiIiIiIiIiIiIKBCGXLHT7NmzJQC++PL6NSDMY7588jppzGG+fPIaEOYxXz55DQjzmC+fvAaEecyXT14njTnMl09eA8I85ssnrwFhHvPlk9eAMI/58slrQJjHfPngNSDMYb588hoQ5jFfPnn1asgVOx05csTrEIgGjHlMQcccpnLAPKZywDymcsA8pqBjDlM5YB5TOWAeUzlgHlM5YB5T0DGHqRwwjykIhlyxExERERERERERERERERERERERBZPnxU5CiNlCiH1CiP8VQnzL5f//UQixVwixRwjxnBDijJz/s4UQf+l6/aK0kRMRERERERERERERERERERERUSlpXn64EEIF8CCA/wPgIIBXhBC/kFLuzfm2VwFMl1J2CiFWALgHwLVd/5eQUp5f0qCJiIiIiIiIiIiIiIiIiIiIiMgTXs/sdCGA/5VS/l1KaQB4AsBVud8gpfy9lLKz68sdAMaWOEYiIiIiIiIiIiIiIiIiIiIiIvIBr4udxgA4kPP1wa73CvkygF/lfB0RQuwUQuwQQny+GAESEREREREREREREREREREREZE/eF3sJFzek67fKMRCANMBrMl5+3Qp5XQA8wH8mxDi7AI/u7SrKGpnY2PjQGMm8gTzmIKOOUzlgHlM5YB5TOWAeUxBxxymcsA8pnLAPKZywDymcsA8pqBjDlM5YB5T0AgpXWuLSvPhQlwE4C4p5We7vv4nAJBS/mu37/sMgAcAfEpK2VDgd20C8LSUcltvnzl9+nS5c+fOQYieaEDcCv36jHlMPnHSecwcJp9gW0zlgHlM5YB5TOWAY2MKOrbFVA6Yx1QOmMdUDpjHFHTMYSq6M7/1zEn93Dvfv7yv38o8pnLQax57PbPTKwDGCyHGCSF0ANcB+EXuNwghpgJYD+DK3EInIUS1ECLc9e+RAGYB2FuyyImIiIiIiIiIiIiIiIiIiIiIqKQ0Lz9cSmkJIW4G8GsAKoAfSyn/KoT4fwDslFL+Aull6yoA/FQIAQDvSSmvBPBRAOuFEA7SRVvfl1Ky2ImIiIiIiIiIiIiIiIiIiIiIqEx5WuwEAFLKXwL4Zbf3vpPz788U+LmXAHysuNEREREREREREREREREREREREZFfeL2MHRERERERERERERERERERERERUZ+w2ImIiIiIiIiIiIiIiIiIiIiIiAKBxU5ERERERERERERERERERERERBQILHYiIiIiIiIiIiIiIiIiIiIiIqJAYLETEREREREREREREREREREREREFguZ1AERB5zgSTR0GDMuGrqmoietQFMGYiAaIeUxEQ5Hf2j6/xUNUajwGyC+Yi0Q0FPm57fNzbEREA8U27uRwvxEREbkrVh/JYieiAXAciX2H27Bk804cbE5gbHUUD18/HRNGV3o2iPVjTET9xTwmoqHIb22f3+IhKjUeA+QXzEUiGor83Pb5OTYiooFiG3dyuN+IiIjcFbOPZLET0QA0dRi497f7sGrORFRFQ2hJmLj3t/vwvasno7YyzJiIThLzmIiGIr+1fX6Lh6jUmjqM7Ek4ABxsTmDJ5p34+cpZJTkG+FQwZbA9JqKhxnEkDrUm0ZGysGrORKx74W28eqClpP1wbzJjhNqKcLZtPnQsidHDwhgRZ7tMRMGWex40ta4Kyy8+Gx0pC4dakzhlWITnJAW4nT/e+9t9uOvK8yCl5DkdERENWcU8f2KxE9EAOI6DlZ8+B80dJgBAVxWs/PQ5cByHMRENgOM4uGHmONy+fU+2yvfuuZOZx9Qr3hSmoPNbH+63eIhKzbDsvJPwloSJdS+8DcOyi/7ZfCqYcrE9JqKhJNMH3vvbfZhbX4eauI4fXjMF6154G0/uOliSfvhEMmOEb352Qt51i/UL61EV7XkeynNVIgoSw7JxsDmBa+rHYvnFZ+Noh4GmDgMb/vg2vv5/JvCcpIDMfsuYWleFG2aOwzXr/xSIczr2VURENFi69ymO4/Tr/Kk/WOxENABCCCQMG6ueej17YK6ZNxlCeDcI9GNMRP1lS2Q7PCD9JMzt2/fgyWUXeRwZ+RVvClM58Fsf7rd4iEotqqu4bfYE3LptT94xENXVon+217NKkb+wPSaioSQzm133B6AenD8NLQkDulb8fvhEdE3FLZeO73HdYtlju3r01TxXJaKg0TUVl00chQUzzsD1P34570FUzi5amK6pGFsdzfYLyy8+u0c/4ddzOvZVREQ0WNz6lPWL6vHPn/sovv7kX054/tRfymAFTjQUmbaTvfkBpA/MW7ftgWl794StH2Mi6i8pZd6TMEA6l6WUHkVEflfopnBTh+FxZER957c+3G/xEJWa5UjXY8Byij8e6f5UcObz/TCbBZUe22MiGkoMy8bc+roeN4hvenw37rh8ImriuscRAjVxHeNGxvvUV/NclYiCpiau447LJ+Kmx3f3eBB1bn0dz0kKqInrePj66RhbHc1+HZRzOvZVREQ0WNz6lGWP7sKpwyNF6Rc5sxPRANgFCjJsD+sx/BgTUX91fxIGAMZWR33xBCf5E28KUznwWx/ut3iISs20HNdjwLSKX2DCsRDlYntMRENJZukct3ZPVYQvZphQFIFYuG99Nc9ViShoFEVAVYRr21UT13lOUoCiCEwYXYmfr5wFw7IhhAjMOR37KiIiGiyF+hQHsij9Imd2IhqASEjNVupnjK2OIhLy7tDyY0xE/dX9SZjM1Ll+eIKT/ClzUziXXy8gEBXitz7cb/EQlZqXfQvHQpSL7TERDSU1cR2jKsO+P78bGQ/3qa/muSoRBVGhtmtUZZjnJL1QFIHayjDGVMdwyrBIYM7p2FcREdFgKdSnREJqUfpFzuzUTTJpoSlhwHIkNEWgJqojEuFuIncj42E8vGg6ljyas5bxoukYGfduzeWR8TA2LKrH0kd3ZWPasKje05j6wzAsNHYcPwZr4zp0PRjHYJDbj1TKwpHO47GPjOkIh72LXVEExlXHsHXpjLz96YcnOMtdUI/Bmrju2vZ5eQEhyG0CecNv44qgjynIG+XU9nnZt/hhLOT1+NBxJJo6DBiWnZ3lY6iOBYPeHluWg4b2FEzbQUhVMKoiDE1joRYR5csdQ8R1FesX1WNZTru3flE9qqMhT2O0LAfHkgaSpgPLkRgRC2H78plIWTYURSCkCLSnUkgYEoqioCauZwuYM0s5FLqo373fq46G0Jww2Q8SUdF1b38qQyqk42D9wnose+x4O7xuYT3iEX8Uv+TGLISAKoBwSEGn4cC0HWiKQFhTMDwSQijkTczdZ3pya8sdR+JIewqqAqRMB6YjoSoCuqrAdhw4EojqKqpczgUH83ypr32VG/ZfRETlrz9tfaE+ZURU3ghrhQAAIABJREFURzyEvGudkZACw7AHdO04mFediySZtGDCynvPhAUkEdgL9FRcjiMR0gRWX3UeYrqKTsNGSBNwHOnZAM4wbIys1PHE0hmwM4NjTQy4sSgFw7BwqD0Fw5JQBGDaEofaUzilAr4vtkgmLRxoTeDg0UQ2F8aOiKIOUd/v91TKQqed3/Z12haQgmcFT0Hen4D3NwdPlmFY+LA9BTPnGPywPYVTA3AMGoaNU6vCeQOlWHjgA6WTxTEFnQy/jSssy0ZFRMOmxRdCEYAjAV0TsCzb920CeSOZtGB0a/uMALd9huF+DJSib0kmLTR05o+LG2QKo1CafZlKWTjUkT8mONSRwikozfjQcSSaEykYVvpmMiwbzYkUqqPhkrSHfivOMQwbp4/IH+cMj3o3zukPy3LwxuE2LO92o+wjoytZ8FRkQX2IgYamZNLCsZSJzOqcpi0xLKLljYst28F7zZ04sybu0djYQWNHElIChu3AdiSaOwzU1URhOSJ7rLWnJGzHgeJIHOlIYkQ0jPG1FXhy2UWwbAdaV7/S/Wb3vsNteTcE1i2sx/3PvYnf7G3IFnuNjOtQFAXV0RBaUyYShg1bSkRCKkbGS9NHEpH/9GXsWqgwxq392bT4AgyPhlAVC2HLVz4OTRFo6TRxx3++jsb2FB6+fjomjK70rM3pHvNlE0fhjjkT0WnaONJmIGXZiIRU1FaG4QBItiWhKd6M6TMzPRXcjkNt+PPfG/GJc0fBkRIxXYPtSJhwkNm9tiPR2JZEVSSUPRdzHIl3mjrQmjBRFdchLRsNbUkoQiAcAirD/e8TRg9Ln2/YEoiElD71K+y/iIjKn1u/e8ul5+Zd58kdG2SKfbevmImUefyhkJRloDUlYXXVLqiKgO0AzSkD1Tj56528ypHDhoX3jqZ6PDV05giAu4rcNLSncM+zb2BufR1iUGHYDu559g3cdeV5OK0qeuJfUASdtoXGViPvqYv1C+uhVQlEfJ7HbaaFlk4TK7fszsa+dsE0xMMqanx+UfZYysSRthRWPfV6NvY18yZjWFjz/Q2IlLRwsDmFFTk589DCepxRA4Q9yplA78+UhaakAUcCEukbo01JAzXwrnisr1pTFo65HYMhFSN9fgwWyuPTR8CTto9jCjoZfhtXtCRMNLUb+OpPXs3m8QNfnIqIqmCUz9uEUiinGYwGiwUL7Sknrw9sTzkYFrYQxLav1bDwfnMCt27bkzceiWhq0f/WHWa6T16R0yc/1NUnlyLP2gwL3S83i673SzGeaTdSaO4wcSCn8L1uRBQhFRgWiRT1sy3LwQetiZxCMxsftCZw2rCoZ8U5Niy8G9BxRUN7Cvc/9yZWzZmIqmgILQkT9z/3pqfnzP0R5IcY2sz84tM200Il/P8QAw09yaSFVtPEkfZu17IW1WNEPIS7frEXrx5owdjqKFZfdR4qI6GCN46L6WingY6Ujca2VHZscNnEUfjqpedi1/4j+OzHTsORdiPvov/6RfWIhgQaWy28e7QTMV1FdSwEVQBJy8m2K62GjSWbd6K2IpxtLxvbUlg8axx+s7cBB5sTuO93b+LOKybBsiykLBtN7Snc9PireZ81YRQLSYmGgtzCpXhYxcHmZMHCctO00dCeyt5YVASQyimMAZC9eQkAtRVh2I6Dw62p/PZsYT0umVCLH/7uLSzZvBM/XznLk7YYAJo6jGzMU+uqcMPMcZj/8J9RWxHGbbMn4Fs/+5+865p3PvVXNLansGnxBYjrGgzbgdp143V4OJR3Xl8RVtCecvJmnBge0YvStjZ1GFjy6E5sW34R2lMmkqaDL23agdqKMG65dDw+cmoFHAfoNGxoisAxw4TZaUAIQBUCCdPGzTnXa9YvrEdtpY6OpIQiUojrfSsiyhROvdvUmT33OqMmhupICM2dZnY2Q00RGFURzpspK/O36Gv/ZVg2jrD/IiIKlNx+FwAWzxqHxrYUfviFKWhJmFj3wtvZscEwXcWRTgMhVUBTBSw7/VBISBF492gqb8by9QvrMTymIWk60BWLxU6DoTUp8YtXD2LjjRd0VZNJbNv5Hm6cdRbixb2eSoElccPMcbh9+/EbIHfPnQyRfRat9FKmxC/+4p7Hfpc0nGyRBQAcbE5g5Zbd2Lp0BhD3OLgTMB2ZvdgFpGO/ddsePLF0hseRnVhbwskWiADp2Fc8tgtbl87AMI/aviDvz07LQlO72aPoJqopvr8xkrIc7H6nCY8vmQFHSihC4Pm9H6Jm0qleh3ZC7cnCeTzcg/toHFPQyfHXuMKWwLP/80EgxxTF5vWsO35l2HDtAyNaMJba6s6wHWx8cX9ekcbGF/fjO1dMKvpnJy0HDzz/Vt5nP/D8W7izBJ8NAEIAKdPGwebk8Vk2qyOI66VZAiJpAMcSZl7h+33XnY9hkVDRx6fHkob7Axi6ipoKbzrxYI8r3Ps2eHjO3FeplAVDdputTno7A25fJW0LH7aketz4DI0AdF4KJJ9J2BYAgXBIxeYvXQjbkXj4j3/Hskd3YfOXLsSdV07Ev3QVPMV0FYZlexKnYTs4cDSR7ZsAYG59HXbtP4JZ545CR8rG/+dyPW7xJ85Cu2Flf+6yiaPw7csnQiDdEh5LWTAsB7UVYXzzsxPy2suHFkzDNfVjceX5p+HUqijePNyO+597C43tKTy0sB4zz6rBWw3tWH7x2UgYNg61JTGKs7gRlTXHkXjnSEe2gPK0qijuf+7NvOthyx/bhZ+tmAkAaGjLHw/8aP5UJE0HtZVhqEIgpIrszwLA8ovPRjwcwqMv7Xcdez6/rxGvHmhByqO2GAAMy87GvPzis7Pt5qo5E3tcT165ZTdWzZmIdS+8jY6UlX2YQhECp1ZFcLgjBUdKtCZMSAlYjg4pgQ+PJbDxxf24+ZLx6IjZRXnwIbMdliMBKFi5ZWe2L/jjvsMYUx3B+znnY2OqI9i+8wA+OWE0VEXgmz99LVtkdNrwCMIhFUnTgaIIJAwgaaYgJTAi1nuxVnMihcOtyR7nXhFdQSykZB+CkQCaEyaG2TJ73cOw7H73X+sW1uPa+rE499RhqIqG0NCawohYCKOHRTnDExGRD+X2u1PrqlAR1nDrtt1513h+8Ot9SJk2jkmZvqZoOXBM4HvP7MVv9jbgp8sugi0lNi2+AKoQONSaxH3PvYk75qSvcyYt56Tj45lPDlUB5l1wet6ySfMuOB0qC4qpACmBR17KvwHyyEv7S3YTwk2Q89hyZN7JFYCcAb+/2QVidwIQux/3uxPg/dlpFC66qfZ50V4kpOAT547C2w3t2fbjE+eOQiTk/wbEcmTeU0SZinKv8jjIbTF5x2/jClUF5pw/Fos3vZJXuKKWptbB1zosC6oChDUFtpQICQFFkeiwLN/PpFlMiV76QL8XrrtRBbDy0+egucMEAOiqgpWfPgdqCa6/igKfLUp07de2JY60Gz1m2RweCZXk8y3Hwfo/vJ3XHq7/w9u468oSFJqZvTyA4RFVAeZOr8PB5uPjirnT6wIxrvBb39YflrTQ3GnnFbbaUqIm5t0MuH3VnnSyNzaB4zc+n1w6A8P8P6EWDSHJpAUhgIRho6XTQFOHge27DuCWS8/F9DOq0Ja0MDwawj3zJmPNr99Ap5FefskLtiNRFQvlnXeOqgxj6ulVeLuhHbWVYVw+ZUze2HntgmlQBLL9ytS6KvzjZefCtNPtimNLOF3L+Nxy6fjsjWIgfdw+8PxbuOnT43HT4/kzPbanLDzw3Jv4p899FMcSJm5+PH9mj3NGxtFq2D2WqyIi/yu03Fzm/460p9CRU0CZucnY2Gbg1QMtANKzMzW0pZAwbLSnrOzMC8/tPYyEYefNXLtuYT0umzgKv9nbAAA4qzaOsCYwf8aZaGxL5bXLkZDAbbMn4NZte3rMAltKuqZibHUUB5sTqIqGsu1m7r8zaivCmHTqMPzbdedDVQReffconnrtEG6bPQHXbdiR114/+Pu3skuvrZk3GSs/fQ5+9PxbuG32R9HQnhr0WUkz22E76T4hU7B1+/Y92PKVj+ODlkSP87H5M87Egn//MzYtviBbZPTIS/txw8xxebMCr10wDVWxEBQBfNiaTBctKQJV0Z79QcJwehSJfe2Jv+DnK2eiNZk/FnakhC2d7HJDutb3/uvB+ek+sbEthbnTx+KuX/w1u7/XLayHrinp2T3YbxERecZtHJLb7y6/+OxsfwOk2/zbt+/B6qvOgx5SkDSP9xuOBP7xsnNRFdUR1VUsf2xXdvbC02ti+OfPTURIBXRVQ4rFToNEwnXZpOE+f2KPvKMqwvUpVc3LgViA81hTRLbBzBhbHfV2f/aRriqusYcCcAfCj/tdLRCTGoBc8GPxWF/ZtkRjgeUD/S6iKdkLLvlLDXl0DAa4LSbv+G1cYVnStXDlyQDMsldsQgBHO6weMxiNqRralWBB7gPdKEIgYdg92nKlBBVHqhCuy8ipJap2MjyeZVMABWa6K75CDzHYHuaxlECTh8VnA6EI97+l4v/TJKRsuM7yVRFWfV+/aRZ4EMAMaHtM5auzaxay3OXr7p47Gfc/9ya+fflEhFSBA0cT+MZPX8PaBdNQHQuhJq57EquuKRg9LNzjvHP9wnpsfHE/7pgzCTdufMW1WDbz3l1XToRhSXxly8t57cqpw1WMGxnv0f/Mra/L3ijO/M4VW3Zj9VXn4YaZ49Bp2DAtmXes39e17zJPUY+tjuLh66djwuhK3jgm8jnHkdh3uC27VEzu8QsA+w634VjCxI//++89Csm/fflHMW/dnwAAt1w6Hvc/9ya+esl4fP3J4+PHzV+6ENf/+OUexdBbvvJx7P2wDQebExgW1tDQahRsl88aGce6hfUlewjDTU1cx8PXT8eSzTvRkjCz15Bz/w2kZ5+4bfYEXPfwjrzz9ovOGYkvP7KrR3u9as7E7NJrt25L37idW18HRQCWffI3YXvdjkXTIZC+ITy2Opot2FKEKHg+VluRnpUrU2SUKZDqvj2bv3QhDrcmceu2PVi/sB41FToa25IYHg6h1bBg2E72HMft/AdwHwufOjyCDjO93FBNXO9z/3XT4+l9vPrpvdh443R86x8+ii9/4qzsMtd3zJmIr/3kL2hsT7HfIiLyQKFxyPjaimy/61ZYfLA5gXG1cQjk9xuZGW1v+cx4XLdhh+tMgOsW1mNkhT6g+x8BuLxUOoUu6Bq8GEQFOBI9BpK3b98D28OUCXIeR3UFDy2sx9jq9FMS2eW/dP83VYoAHvji1LzYH/jiVARhPB4Pu+/3eNi7/a4owN1zJ+fFFJSbIpnisVxeF4/1VZDbDwdwjX3wL0X0TZD3JXnHb+OKcitcGUyFZjBKGF61Ov4Q5D7QTaFldUtRLCABdHYVWl27YQdWPfU6Og27ZAt/eV3wU6g9LMXHqwXy2Muiey9zcaAK/i0D0FwmCiyzHoS2Ptz1IMDqp/fi2g07sPrpvbht9gSEvXoQgKiAhOFkb6gDx9uIufV1aOk04UigJWFmj79wSPXsxmdtPAzInuedyx7bhbn1dbBtp+DYOdOvjIiHXduVlOWgIqz26H9q4rrr74zpKm7fvgcVYQ2RkJJ3rN8wcxySpo1bP/sRbF06A2vmTcaxhIkDzZ042NyJhtYkrAE8OU1EA2eaNt5v7sS7TR14v7kTppleEq4lYeDQsSR++IUpWL+oHrUVYSzZvBNNHemZ7+797T6MqYrghpnjehz3pwwP45r6sRhbHcWZI2OYW1/XY+aFox2Ga5siAPx85Sz86VufhunIgu1yY1uqa2Z1HRURL68bC0wYXYmfrZyJj40ZhnVd17XXvfA21sw7fj35lkvH92izVzy2C/Gw+43aqmgo7+uYnp7RwpGAVoQHmhVFYMIplaiMqNA1gbULpnUtHx4teD5mORK3zZ6A1qSJ02ti2bjdvvdoh4FThkWyfVV7yka7YeNIwsCRjhSu27ADn1rzAv7e2OF6/mNY7mPhlOVkz0sVRSDWj/6rKpqeIfFIu4Hrf/xyXg4LAA8tnIqNN14Aw3Lw4bFE9tggIqLia+owsoVOQLrdXrJ5J5oTJiaMrsTPV87C2Oqoa59RoatI5fQbU+uqcMPMcVjw73/G+82JdIF1ztKzmd+//LFdsByJ2ADqADi9QI4gL0NF3pDSPWek9C5ngpzHmgLUVITwkyUz4EgJRQioavp9v4uGBSoiGlZfdV52aYmKiIZo2P839wxTojqm4YmlM2A7sutGjoRhepgzUrgud/EvV57nXUx9FAmli8e6z/YRhKXggtx+mJb7hWXTo4u4Qd6X5B2/jStUReCyiaMwt74u2xZv33UgELPsFRsLwdzVRHXXPrAm6s0MDBm9LQXRGy/bcsvjmZVCBY7/UImO/0LHWCmKrRSRLrrvMRORh01fkMcVjpSYeVYNlnzyLKiKgO1IPPzHv8Px8Jy5r4Lc1jsuBRm3btuDJ5dd5HFkRPkKHWc1cR0xXYXtSKx74e3s+16d3wGApikwe4k3U9SUubi//OKzURPXoSoCTy6bgbt+8ddei4lTlpN9YjrT/4yqDLvOep0pAJMSrstIPL5kBhpak/j+r97AbbMn4Js/fS37O9fMm4zWyjDOHBGHFoQLbkRlxjRtvNHQ3uOcaUJtHB+2JHssT/eDX++DYaULPubW1yFlSddC8k2LL8TXPjMe/7c4F4B7sUlTh+HapoRDKmorwzjY3FmwnTqntgISEhLAvkPHcPaoYRgWKeKOOgFFERhVGYHjpJcC3dp1XTukKfjBF6YgrCkYUaDgxs5przMybWvu152GjbNq4xACGFURLtp2VMcjiGkW4rqK0ZVhrFtYj5ZO97/VkbYUbt22Bz/4whRUx0U2brfvbeowMKY6gt9+/ZNQFYGQquCB597CS39vwpp5k1FbEcbB5gTuf+4trJk3OX/WwkX1vZ6T5S43NDIe7lf/tfzis3uMUzM57EjkLQf70MJ6fGRUBUKhoT2LNhFRKRiW7druJ0wbHx5LQNdUjK6M9Gjz1y+sR8pyYNnHZ5g+uzaOA0cTqK0IZ/upQsW5jiNRGT75a8csdsoRUgss5aTyhg65y12nMmNsdRS65t3gK8h53JZ0cPhYJ0YPj8GR6RsNh5rTXw8b3CWxB10iJVEV1RAbXQHLkdAUAV0TSKSkpyd+faFpAq0dDg4cTWQLtepGRBGLe5fHqiKw4uJz8NWfvJrtMB/44tRA3GBPmg527T+Cx5fMgJQSQgg8v/dDjJh0qtehnVCQ24+Qz5aSDPK+JO/4bVwRUgVuvmR8jynLQ8xjXy4B6weRiIbxNXFsXTojOx6qieqIRLw77XQcicNtCVg2YEsJx7RxuC2B0ZXRExY8edmWOx4Xt0R1BV+99NweN2FKNeNqoWOsFGNBW8K16P47V0wq+mcXEuQls6MhFYsuOiP/psWCaYgG4IZFkNt6y3F/EMAOwpRaNGSYpl3wPG5kRRgdhoWYruLVAy3Z97283gYUbhdqK8N4fMc7WLtgGn70/Fs9lu9cM28ybpv9EegFxhaZIsrME9OGZSOkKUiZNh6cPy27FFBu8cPY6iiEcF96yO4q9Ha7oZxZmmlYJAQhRL+LwYmodyd60KKhPeU6S/DWpTNcZ1RafdV52bavJq6jLWm6HvdtSRMhVUd7Mr2c5T9/bmKP9mb7rgNYv7A+b4m6+647Hx0pC44jYXedw7m1U+8d7cTiTa/47rqAogiMiIeRWWPYcSQ0RUHCtKEKuG6LIkSP4p5M+535njXzJqO2MoxhERWVYb3oxaHhsAZFETjaaWBUpQ4pgfWL6rHs0eN/q3+79nx875m/4WBzAqcNj+Cp3e/j7rmT8chL+10f1njr0DGcVhXNO6dbu2AagHRR/Ko5E7Hs0V0A0g9XbPnKx+FIibCmIB5W0J50eu2zMjIzbWX6L11TURXReuRapv/61j98pGAO5xbbZY6NJ5bOQJj9FBFR0RW6NyGQnn1+80v78flpdRhfW5Ft8xUhIISE5QDRkNJjye+7507GU6+m+6vM7IVu11gG0s/6/8pYCaldg5zcZZPWzJsM1csFiMnXMutD5+bMw9dPR03cu6fXg5zHMV1BKBTCtV1TqF67YQdCodCApq8rlUhIoCVh4c3D7Th0LIk3D7ejJWEhEvL/fhcAYmEV54yqwCnDIzhnVAViYRWeRi5kdqasrUtnYPVV56EiogHC/09RhzUF9WfWYP7D6Tye//AO1J9ZE4glI4LdfgisX5S/HOP6RfWI6d7EHuR9Sd7x27jCtKXrlOWml+v1+kSswNK7QRizFFskomFMdQxn1MQxpjrmaaETALQmUzDs9JOnTtcTqIYt0ZpMnfBnw5qChxZMy/87L5hWkj7d6yUBE6Z0X6qxRDN/Rgrs+0gJ9r2uKlg8K39pkMWzxkH3sLAoqgus79bmrF9Yj6hH45z+SFlOj1lHVnQtf+F3XubhQKnCvQ1ROBYln3AcicaOFFQB1/Om1qSJirCWXcre63FxRmYWy+5jwHePtGHamTWIhhR854pJPWZduXXbHhw4msDhtiTWurQrT778LjRFQFEEaivDGFMdg4DAY396B8NjGh798oX4/Tc/hdVXnYcf/HofGttTWL+wPvs7cmXGC+teeDu7XND6RfXYunRGdlmsqlgIDW0pXL32Rcy6+/e4eu2L2He4LRAzBhL5meNI7Dvc1uuxlV4GrudxWWgWnXEj46iJ66iJ66itDKOl03Q97ls6TWiKwH3PvYmvfeZchEMiu7xb5nu+esl4jKwMYdPiC/H8Nz6FTYsvxLCIhu//6m9o6jCgqwp++9cPe/zcmnmTcf9zb2Vj8vN1gUw7OrYqiljY/bw9ElJwRk0Mj3/l4/jDrRfjiaUzcNrwCL59+UT84daL8ZMlM3DmyDjOHBFHdTxSslnwQiEVo4dHMWpYFEIRuO93b+LRL1+Ibcsvwqo5E/G9Z/6GVw+0ZB8C2brrIH7w632YW1+HUcPCeGLpDDx10yysmjMRj7y0H5dOPLXHOd3KLbux5JNn4WBzekm5qXVV+OZnJ+BbP/sffGrNC1j0Hy/jSLuBlAVURV32X06f5bbfx1THUFsZRqthIhwS2LT4QrzwzYux5SsfxyMv7cerB1qyN7tzZXI4ado9jo33mxPsp4iISsDt3sTaBdPQ0pleBnfu9Dr85+4DaE6Y2TZfFUBjm4HrNuxAwrRdZ+67dOJo/ODX+1AR1nqMMdYtrMeIAa4IwJmdcqQsB/c8uy/vCc57nt2H+6473+vQyKfcqta9rjAPch6rKjCy2zJ2mpp+3+/aUg62vfIe5k0/Pbs8w7ZX3sOimeMwPOZ1dL1TVUBY+e8JeLvfTUu67s/rZ47zLqg+0lRgWCx94UAR6SUkQlo6l/0uyO2HEEBtpZ63HKOuCXh1PyfI+5K847dxRW/LbAx1UVXDyAqnx5glqvL0ym8sGz2WgpRSomsliF4ZlsTTr72PjTdecHw8svM93DjrrCJFe5xQgB9+YQq+kbPszA+/MAWiRDUWtsezwmgqMLzbeErXBLQSHGKKAGorw3nLU9dWhj1exg6oHdZznGP7v14o0EvBCQWoqdR7LLNequNwICrCCtYtrMfynKfp1y2sR0U4AMHTkNDUYSAeVtDSabueN/2/154PXRMIKQr+eOvFiOqa59fbgMKzWP4vkD3eti2/yLXdi+kqDEti+653sWnxhQipAoblYNvO9zDn/LE9lv01LBvzZ5yJlk4DRztMVMVCqBsRw/1fPB+qEPjrB8dw7qnDsHbBtLyZWB9aWI/n9n6IVw+0oKZCxw+vmYKjHQaaOgxs33UAt82egJoKHfMf/nPejYglm3fi5ytnobayOEs1EQ0FTR1GdlkXwP3YimjHZz2orQjjlkvH4wfXTEFIEXjmq5/AHf/5et6MdrGwmm37Tq0Mw7SdHrMS3XvNFFTFdUR0BTfMHAfbkWhoTSFhOti0OH0uoykClREVRzsstHQebxMWzxqHxbPGwbBs1MZ1TB83Eju7ZqwH0uOfrz7+ajamzHb5fSynKALDI2GEapDXZsfDCmKahsYOAxLph0xGVYShqgok+r/0ebGMjIfx9c9MwL/+8m9Y+smzsfrpvXlLzEV1BQ8vqseSR3dh2aO7MLY6igfnT0V1PIzqWAh3XjGp4Dhc7XqwptOw8Y3Lzu1RoLtyy25s+crHEVJUnFWTLqIyLCd7PuzWZ3VnWhKNbQY2vrgfc+vrcMqwCFbNmYR/uXISIESPceqaeZMxpjoKxwGOtKfy+ixHSvZTREQlkHtvImFYEAJ4vyWZnRgjYaTPT4yci6qmI7MPuDnSfdbZqmgIje0pABKjhumDviKA51fjhRCzAdwHQAXw71LK73f7/38E8BUAFoBGAF+SUr7b9X83ALij61u/K6V8ZCCxqIpAY3sqO3UjULqp8im4MlXrfhHkPG5PONj1bhOmnlEDyHTxws79Tag/o8b3S8HZjsT6/3oH6//rnbz3588405N4+sOP+10IYP6MM6AIBbaUCKlK19fexNNfuiqgQMCREiERjEInIODtRzInj7v8+e0j6Tz2YBnMIO9L8pafxhWZC2BeLCPld5GIhmoATQkju/Ruddjb5dqosNaE1WM5xgq9L38riU9OGJ23/NbdcycDKP6FfSkF/uO//5538/c//vvvuOvK84r+2QCgKu7LCqlKaQol2lMOLMtCNBSC5UiEFYGUaaI9KTC8yP26hMB/v9mASyaemrck8eVTxhb3g3th2hIHjnbi60++lndTq26Ez5+qQLCXgjMsiQ9bkvjaE3/JW+plTJXP11gHkLIAAZlXtCcgkbJO/LNEpaAqEgebUwhrqut5k64K7NzfhPNPr0FU13wzPga6ZrHsNuYbPzJdAJUpjHRr9zoNG4bt4MldB/HkroP4460XQ9cUXD9zHGqiOoQAPmhJwLQdqIpASBFQFYFOw8aqp17PuyHMkPLuAAAgAElEQVQ8bmQcSx7djW98Zjyu/fjpPW4YaIrAXXOApOnk3Uy+e+5kbHxxP+68YhJqK8J544z/n717j5OzqvN9/11PPXXr6k7S6XQCJEFQIBqYqHSECB5HZVTmeGFmEwWFgLckyBE9nuMFX74YZszMbBFnO8MoEuJWuaiBgeHIIFtkBGbcIm4SUTZEYwgEE0DS6Vy7uuv6rPNHd1equqs6famu59Kf9+tVL0h3V9evqn/PWutZz+9Z66ZHdtZcuAAweZ7njTmunth9sObYMsZUCp0+885lNVuP3XjJmfryhWfo6rufUm9/XpsuW6kFmaPtXyLh6hWdbepIutq8bpW84SJ41zGKu0bZvKfP3/2k/uWKN2rXvmxNQdQ3Pvh6Hc45NduijbQJX/g/X6OEG1Mi4eqUrow624bG4EbSYLE8fIHyqLCM5RzHqD2VUnud+e3Fdc4Hg9TXOI7RsuM69Ld/8Scqe57uGL7pwXWM2pIxzUklNC+d1L9+/BzlimU5w/2GM3yTjtHQjZj1+iPPavhcIq3BYv2bXHqP5OU6KXV0pNSRLKhfQzcxjPRZ1XMf+XxJfYPFmv6r5Fl95+fPjdnWdeOlPZqbdrXthYOVvivmGKXjjv54OF83P7/4ruXauKaHfgoAWqBQKMvzPCVcR8+NGktcv3qFFs1xVF3vXH2zdNmzdfudE+alteGCM9SZGTpPWdjZ3DkVX2/pMsbEJH1D0p9LWi7pA8aY5aN+7AlJK621KyTdJekrw8+dL+laSWdLOkvStcaYzunEk3SdMUsJ39iibQqAZglzHhc9q6s2P6k3Xfew/vT6R/Sm6x7WVZufVDHgd4pIUrzBViPxEJz4BfFzb0s4Opwr6wObHtNbrn9EH9j0mA7nykqHYHugbN7TwWy+UpjlGOlgNq9sPvi33tN+NE+YP0tgBHncWC5X0qBXe8V40Cspl+MqctDkS17d7RgnsoWWZzXmLtfP3/2kWtG1tKeMPnneaTVbqX3yvNPUnmrN2HJ+Kl5/aelUvCWvPyftyHVdDRaH7iAeLHpyXVdz0jPf/nSm43rTaQu1c+/Q9tQ79/brTactVGe6Ne+9npJnK4VO0lAufvrO3wT+jnpJSifq9yVhGNeXPFspdJKGPvdPbf51KD73QtnT+tt/pQ9/93FddPNj+vB3H9f623+lQhiWA8OsMFjwtP62rbr5P3bWbSMODhSViMdlrfV967qJSCaHtvFdOj+j7kyi7hZQnZm4bnpkZ+VrMcdUtv01RtqxL6ufPPViZTXJkmflWY3ZCuKzdz1ZaYfu2LpHO/f2K5VwarYQXraoQ28//fhKodPIcz9/95O6sGepyp7V585fVjPO+Nz5y5ROhOROLSCAPM9qX7ZQc1x95p3L9I7lC5WouguyWB4qLrniLa+qu6JOzInp6x98ve658lwtW9QxZnWhka3OlnS26cTh437R3LTKnqn87rJnx7Qd+7PFSiHJyNdG2gTHGHVlEmPOc2OO0V1b/jB2+81Le7SgLfhtc9g5jtHCOSkdP69Ni4f/3id0tmleW1LOcGHTwjkpndiV0ZLhPOjuSOm4uWl1ZZJyY6bu325u2tXf3/87HcmVtWvfQN1rGn3ZwlARretobluq4Vb1+XxJO/ZldcvPn5WRKv1XynW07s1jc3z97VtljNEND+/UH/YPqD0V05LONuWKXsP8/OOhHP0UALRALldSf7Gk0nBb3ug8JFY1NIlVXRvf9J/P1j23++ef7tCHv/u4PvSdxzVQaP6chN+3Hp8l6Rlr7bOSZIzZLOkCSdtGfsBa+3DVzz8m6dLh/3+npAettfuHn/ugpPMl/WCqwWQLZd3+i+drtinY9J/P6hNvO2WqvxJouTDncZjv+k0lHH3zkjMry/WN7GGdCsEkfhA/92zeG7On+Mdv36o71q3SvIDfwN6RcrR/wNFFNz9Ws4x8Ryr4uUD70Txh/iyBEeRxYwWVtOdAvtJXjbT1r+iSUr6fYqHadLbQ8nMrx1ze1l2VJZe3LVl5M1ssKeGamtdPuEbZYqklK5gVitLBgeKYFbky8Zg0w+//cL6o3iP5MatozM8kNN/1527vRrnohaDoJl5nS8K4axQPwXWKMH/ubEWLoBvpn+/cukeSKuPNeMxRtlDUF+5+Sl9ZvUKx4Yu5YZJIuDqtO6M7h1escBwja6023LdNT+w+WFmtovpt7RsoaMtz+9Rz8gJdXDWXcNtHz2rYDt2xbpUGCmUtmpNSZ7q2f3KGV9Wo99yuTEIxx9S9ePGvV54zqfdaKnna259XsewpHnO0sD0plxsjEGAzmbN92ULdYo3vf+zsmqLNhBvTks605qXjdY/RkbZhsqsMdWUSyhXLWtKZrjsOaEvEGrYJiZgjxzEqjjrPfcfyhbrqvNN036/3VNrphOtoQTqhZJLz3iBzXUcnzEkrk4zVrP63oC2h3oGCevvz6s+XdMNPd+i6C1fUrL70zUvO1D8/tEPXvuf0Y77OvoGC/u3Xe/Tu1y7WB7/1y5pzt+6OZMNz8Q0XnFHTf43XZ/VlCzX9FH0PADRfLlfSywN5HRqei/uH97224XlISdLzfVnFY46MUaUfuXPrHnW2ufrB2qEVbwslT5v+89nKOd9MzUn4PSJZLGl31b/3aGilpkY+Kul/jPPcxdMJxnWMHn22r/KhS0MXSj/1Z6dO59cCLRXmPE4nHH3z0p4xFw7DcNdvsWTVlozVTOIbY1UsBX8yOYif+3QuTPrtSK5xoZYf26lNRpjbjznp+nncihUg6gnzZwmMII8bOzI4Tlsf8K13Z5vpFMP6WUhb9KzW3/6rMa99x7pVM/7akpQrefrId7f4+vr1VuRqxesPFsp1LwDfsW6VlJnxl68rEau/rWA8FvzzpMODnv7uvm26sGdpZUuXu7fu1rXvOV0dAW8v4wErpp+MRrGHYeVhzA7VfezItm5LOtP6zofeoC8Mb9/UlogpFQ9+O1dPIuHqhISrlw8NKl/29LfD7eBH3/RKHRws6pZHn9OXLji6NW3Js3rb8uP1wU2P1fQ/Iytu1GuHlnSmlXBj6sok6haENRrHdHck5RjVnXMpTmDly0rMJU+79me1e/9gpTB6YH5JJ83PcNEZgTTTOVsoleseV6OLNrsyCW1c06O9h/MNtxirXglqohzH6LiOpDau6an8rurfPVAoN2wTrKxeODAgSTXnuT/ZtleSdO17TlfJsxSWhIzrOupyU2POYdKlkm685Ez19Q8VPX31ge2V7RcHCmXlip6uetupakse++9c8qxWrzyxsvW7dPTc7QdrVzXsw85YPLem/xqvz/q7H/228nuL9D0A0DSeZ3Uol1euYOXZoevZI3NxBweLDdvwv/63p3Vhz1J1ZRI6fm5Ktzz6XM02vhvue1rXvud0XVLVN4w8fybmJPxu/eu9o7pXso0xl0paKen6KTx3nTFmizFmS29vb8NgUvGhC6Wjl3UM64k1omU25LG1Uld7XD9Yu0r/8dm36AdrV6mrPS4b/PoW5UqePnPnk9rZ26/eI3nt7O3XZ+58UrlJTBT5JVf01J50aj739qSjXLG5sU80h6WjJzjVwnJhIcyFWl3pRN32oysd/KWp025CSzqTumPdUB7fsW6VlnQmlXabG/tsaIsRfRPN47np+nk816ciwiAJc1sfFRPN4zkN8ngixbCZlFN3K7dMC1ZrbJRjrVqVxe8c9/P1y7bBZ9/kk5LJjI3npxtsK+jj1noTVfKsfrJtr9bftlUX3fyY1t+2VT/ZtjcU7eX89NitqIY+9+CPjduS9duviVy0mozJ5DFQrb1Ojl6/eoU+d9eT6u3P67oLV8gYqbNt5lfUm8k8nt+WkJV01dtOrdna6lN/dpoWZI6+N9cx8ur0Pzf8dEfDdmhxZ9tQ4VKDeZKF7ckxY6CbLu1ReyqmmOPUnXOZTIHF/oFCZSXEi25+TNf88Cn1Hslr/0Bhwr8DzUN7fGwznbMjKzZVq3dcOY7Rad3tes3xHWOO76Ft482Ut++Mx2M6rbtdbYnYmN+9dH66bnuSiBn9z9/3KpVw6o7BR8ZtrmN0wrz0jBaUkMet0ZlOqrMtrlMWZvTNS85Ub39e62/bqv/3X36j7o6kjpub1Ly2uOamjt0Hu45RzDF1z58kOybnRuaZR/dfC9rGzknfdGmPfrlzn57YfbDyNdcxge57yGFEAXkcfZ5ndWggp5cODerwYFmeHdq2rvqGiJse2anrLlwxpl3e+nyfLj/nZG24b5tW3/QL/c2/Pa1PnndazbnOVeedprZEgznVJs9JSP6v7LRH0tKqfy+R9OLoHzLG/JmkL0r6U2ttvuq5bxn13EfqvYi19mZJN0vSypUrG86o5Yqetj63T99fu0rWWhlj9NC2lzT/9OMn/o6AGTIb8jhX9PTg0y/pbcuHYrWSfvK/X9LbQxC765jKicGIsBTnWCv91/t/V/du6+a+zsRyWBpabeo7H36D9lTdpbFkfjoUq3wFbTu1yUilXJ3alalZ3rgrnWjJdjXT5bqOOpTQYCEvo6G2ryORaPokzGxoixF9E81jq6NFyJ61coxRLNbg7oJZJsxtfVRMNI8PDXo12y6UPau7tvxBa845+ZirypTKQ8Wr1Vu5peKOSuWmvpW6Yg1yrFVb+TRaSSjRopWE4rEGq9LEZv79x1u0itJkxsbJpKtTF2TGbEERhu1DwtxeplKuTgnp2Dib97Slzli0s+34pm4LPpk8BqSjW0hZazU37ej7a1dJ1lbGl3/1nuXaeySvWx59Tte+5/SW9HszmcfxeEwndKSUijnavG6VPM8ObQGVqV0ZZUFbQvsGCmPay97+vOakXX1/7SrtPZxTd0dSXZmYDuSKKmTz466yEo/H9OqF7TVtWFvCUUdyaCWNTZet1Npbt1RWRt502cpJFVgUyl7dlRA3t2gVSNSiPT62mc7ZrkxiwsdVPB7TgkxS8ZipOUYzyZjmpOqv1jae0dt6dWcSSsZrf3d3JiHPk+5ct0r5stWufVld8/8NraS3cU2PDmSLSsVjDcdtcTfc7TGOchyjxfPadGBwqB8Z6Z/iriNHkuM4DVcNHG1kW7x6eZMvWc1Ju7rm3cvVlRkqcFqQial3IC9nsKB0IqZ56aHXSSZdnTbqfMdxpBse3ln5fZsuW6mSZwPd95DDiALyONo8z+rAYF4vHczriqpdUn6wdpWK1lba8yd2H9RXH9iuDRecoVd2Z+Q6RqmEoxcOxitbn0pHV4Gs3sJ7ZPWm0dcV3JjUMYFC2snye4bmcUmnGmNOlvSCpIslfbD6B4wxr5e0UdL51tq9Vd96QNLfG2M6h//9DklfmE4wmaSjnpMXVJYMHqk0nokqM2CmhDmP04n6sYehwCXMxTlJ19En3nZqZXnCo3cS+Rd7rujpyGBJ1/zwqUpMN1z8erUnJr+Mc6tlkvW3UwvDMSgNXdRZHIILOPU4jlE85sjaoaW1W3VBuJ4wt8XAiMODni66+bExE1Z3rFsV+K2HZlp7g7a+nWM8cMqe1caf7dLGn+2q+folq0465nPzRU8f+s7YJZfvbMFEasp1dOMlZ44Zn6VaND5zjHT96hWVieSRFTda1bW6xtR9fdfMfACOGrz3GX/l8SWTrhaHoLhpNMbG/ih7Vn993+/01/f9rubrb3vNcT5FBEiFQkk7erP6p5/+Xp87/9VKx2O66ObHdNtH36D+vBfZcVU8HtOiuePvaZ9MuuqyGtNe3njJmfKs1Y0PPVPZ6u97Hztb339saGwzcof0KV0Z9Q0WKheIF7YnFY/HFI/HtLizfoXjskUduufKc1UolcfdDq+RcoNVGD1vaDusqfxOYDo8z6ovW2iY0+PlbDM4jpnUceW6jrraJ35iXSyWtbc/P+Y4L5U8/e7lIzUXLG+6tEevXtShOZ1HLyh6ntVv/3hYew/nK/OtI9bftlUbLjhDvYcH647b0glHg4Xg716AiXMco67M9Cd2kklXC6x006U9NTl44yVnyo1JX//pUP8lqdKHfeOhZ/Tos3365iVnKl/yVCh5lZyu7rM8z445nnYfGGh4HHvDF9kBAI0dzhXUnytX2mxpqB29/RfP6YOrTqqZi+ztz6u7I6lFmaRSKVcvHhxUVyZRdxXIa99zuk7sytSMS7rbk/rkeafqpAUZpVxn3FVpp8PXGRtrbckY8wkNFS7FJH3bWvu0MeZLkrZYa+/V0LZ17ZL+xQxNbP7BWvtea+1+Y8wGDRVMSdKXrLX7pxPPocGyfvvCQW1et0plzyrmGD26o1dzUguaeucbMJPCnMdHco1jn5859vP91Kg4JxOC4pxC2VNHKqYfrF2lsrWKGaOSV1ah7N9JrLXSJzc/UdPZfnLzE7ojIHdpjCfMx2CYeZ7Vrr6snu8bqBQcvqKrTSd1ZXw50SUPEAV+b2MVZAcbHONzUws0l2M8UNLxmN6xfOGYFSxT8WOP0YoNjoFiC46BfMnT1x/aUbPn/dcf2tH0lTcbyZU8feXH22te/ys/3q5/vPh1LXn9QR9fP1+u/9r/9IHXz/hrRxFjIn/EY07dtq/ZK5QBE1UqeXq5v6B/+unvdeVbT5FkKmPNvYcLen5f/6wfV6VSrl7ZlaxZ1cIY6R8f3FG5ULznwKB6j+T1gbNfoY0/26U9BwZ1xe1b9b2Pna1LvvXLmuKEVy9sV3yc8Y7jGHV3TP7O6pEVZCTpOx96g2746Y6aLYZ29mb14e8+XlmFY9miDi4+Y8Z5ntX2l4+MWVWpOv/SVasWvX7pPF3xllepK5NQzDEqlbymrAw+1ePqWIrFsn63t39MEdKrF7ZrX7Yw5oLlFbdv1b+sf6OOn3e00HLf8I4E//C+19Y9x2lLxPS5f31KX/kvZ1TaY9cxSicc9WWLWpAJ/vbJ8Ecq5eqkqv4r5hglXEdf/fH2Sv8lHe3DrnjLq3Tn1j36+Pd+pQ0XnFHpM0b3XfWOp0bn9zt7s8oWyvQ5AHAMA/myeo/kx4wFNv5sl1avXKoF7YmaccDctFNZ3Xphe1Jlz44719Dbf3TFqD0HBitt/Pc+drbKZU+O0/xr5r7fnmatvV/S/aO+9ldV//9n4zz325K+3axYXMfo33+3V3Mzycof6N9/t1fnntrdrJcAZlyY8zjlOjq5u10X33x0JZSvvf+1LbuDfTrCXJwTM0b7s0V9avPjlc/9ny5+nZbM86+LaHSBvRyCC+yuY3TDwzv1uX99qvK1JZ1p3RGCY1Aautu2N1uoWeY6kfB9uHBMBwbzevlwrqbg8PrVKzS3zW3KnUqTFea2GBjhOqbuyUsYth6aaY3aeo7x4Im70mffuUx7DuQkDW3P9tl3LlN8Al1bo63kYi04Bkqe1U+27a0sBz3ii+9aPuOvLfm/RbOfr5+Kx+q+dioe/HOSIAr72Dis3Jip2/a5LdgKEqhnb39e+ZKn/+utp2hOOq6+/oKOm5vSO5Yv1MHBIuOqYelEUgcHB3XJt36pa969XBvu2zZmHNKXLairPan39yzRnVv3VC4eV89Hffz2rbpj3aqGqzpNVT5f0h/78+o9kldftqC7t+7W585fpq/8eLt6+/O6fvUKfeXH2ytxrL11i+658twZKf4AqvVlC5VCJ6l+/i1oT2rTmpX62r9v1+XnnKxbHn1OF/YslTQ09h5ZtSCI9vbnK4VOUu1x3mgOtVh1E2uxWFa2UNKeA4M6OFise44zUBjaq3ukLV7SmdaGC87QskXtSrmO5qY5jtFYWyKpQ8P9154Dg9q4pkePPttX8zNH+7CEXr90np7YfVBtwzeKT6Tv8jyrWGzonLi6H/rE207V7b94Xo8+20efAwDjKBbLypc99WXrbz/67L4Brb9t69ExwHEdakscbVNd11F70tFn3rlML1TNNXzu/FcrFhtqpwtlr+64pPdIXq5jmn5+Isn3ldgDpT3p6KrzTtOG+7bpopsf04b7tumq806LzLLJmB3CnMeelT59529qTtw+fedvFIL6Fnm2wVLINvjBW0mf2vzrms/9U5t/LT8jd4cvLlZr1cXF6WpPDW3VMRJ/ZQn+VPCPwUKhpO29WV1082P60+sf0UU3P6btvVkVCiW/QzumwYJXd892v5bZDnNbDIxoS9TP47YQbNE607ozibptfXcm4XNkGK1QtNrXX9A1P3xKF938mK754VPa119QoXjskU7CGdpKrfrvfP3qFUq0YDwSbzAWirdoLJRO1B/PtGqLZj+PsQWZpDZdtrLmtTddtlILMkyaT0Vbg1yiL5lZnle/7WvWVj3AZBXLntJxR67jaM1//19afdMvdPHNj+mq807Tr3b16boLa/vbm2bpuMpxjNqGt/+8e+vuMZ/LdReu0N1bd2vXvqzWvvmVla/3ZQs1v2cmVmMtFsvasS+rS771S62+6RfacN82XX7OyfrOz5/TP3/w9bpj3Sp95cfbK6s8jcRRKJWbGgdQT6FUrjsvW51/jmO07LgOXfue03XLo8/p8nNO1ob7tmn1Tb/QJd/6pZ7pyyqfD+b813irLscanDdUr26ztz+vXfsGhtrXR3aOaVv+6eLXaUlnasx5z9L5aaWTjhbPa2O1HIzLcYy60kfP4W56ZOeYc+mjfdiArnjLq7SkM62Dg8XK7zhW33Ukl9dLB/Nj+qGvP7RD5y1fRJ8DAMcwMh6od55x/eoVuumRnTVjgAVt8TH9f6Fk1TdqrqH3SF75oqdDuXzDcUnf8AILMyGYpeo+qd4fXqqtJp5NyyYj3LIFWzeP71z/xsDncaOKz6KP26lNlGPq3/nvmOCfCOZL9T/3Qsm/z33kAlu9PeKDbqDgqbs9XrMEv+sMfX1u+tjP91NvttCwH1wc8NWdygFbDYwxBaJgoNA4jzsDvr3sTEskXC3rztRsMxKWlfBmm6Jn6xbDbp7A6psla9WedLXhgjMqW6S2J12VW1DMnow7+uYlZ+rj3/vV0bHQJWcq2aLVhWKO1NUe1w/WrpJnrRxjFIsNfb0V/DzGHMdo2aIO3XPluSqUykq4MXVlElzgmaKiZ7VgVC65MbVkO8jZbDptHzAT4jFH1lqtbzC29KzV99euUn+uqEzS1aJMctaOq9pirha0e7rm3acr5kh3rFulQ4NF7T4wWCnQ+OoD2/UP73+tlnSm9Y0PnqlvPLyj5nfMxGqIe6u2pJCG/n6fv/tJXfPu5Sp7Vm0JV73D29tVx5Fwm79VBTBawo3VnZcdnX+OM7SF5oU9S/X5u2v7yStu36rN61bphHgscOM+t8GKs65jlEo4un71ikq/P3KRsnoOteRZ3fDTHbruwhX6/N1P6qsPbNeGC87QSQsySrpGA4Wy/uXxP+jWj5ylmGOGtiGLOZqbdJVMzs62GJOXSrk6tStTmRNPuo42r1ulPx7KqS9bqOnDvviu19SsBigdu+/qz3sN+6F56Th9DgAcw8h44DPvXKZbHn1O17x7uboyCS2ak1LMkf7x4tcNz9kYdSbjdc/HGs013PbRs2Tt0LXdGy85U1dWzWded+EK3fLoc7r2PafPyPtipFJlvAp5ICxKDQqGSiEoGGq0VUjQTjDrcRxVThirG3An+LU5gfzc2+OuFs2xNQVDCdeofSJ7zvjM86S/+benx2z7NFMdeTOFuR+MN8jjVq2AMVqYP0tgBHk8vkTCDXwhKKZXDGut9M8P7dCFPUvVppgKZU///NCOlvTpc5JxZdvK+u6Hz5JjhlZATbhGc5LxGX9tSepIJjVQqP3czPDXW8XPY8xxDNsfNEmxZHXro89p9coTFXOMCp6nu37xB112zsl+hxZpQbsRAFjYntQLhwbr5uW+/qEtbfLFsg7nSlrQHtytpFohmXQ1X9K+gYKKZauU6+hwrqR56bgu7Fmqrz4wtGVcwnV0zbuX6/4nX9BV552mbS8dqblZbGF7c/uxRucGXZmEXMeoMx3X9z92tvZWbS306bcvU9csXKELrdeVSejWj5yl5/sGKjcpvKKrrW7+uY5RVybR8MbPvmwhcOPAhe3JujeFLmxPKhZztGhOqeYGjUVzUuqs2nZuZIvorz6wvVIYMlAoqy3uqLsjpXLZ0+XnvlLFslcpdJrflpDrhmBiG4GSSrnqNkN9WL7kKeU6Knl2TB/WmUmoP1esFMlOpO8arx8qeVabLltJnwMA46geD1zxlldpXjquI7mSTu52lBveIcUx0vxUvGGx83hzDSVj1ZlOaiBf1q0fOUv7s4VKsesnzzut6ecnlfc1I781pIJ2oRSYCjfm1L/To1W3YU9DegJ3ogRVzHEqlbAjBS63PPqc/vYv/8Tv0I5pZIuW0Z97K7ZoacR1Y+rbl9Xa246exG9a06MFmZRvMU1UzDG6/JyTxxS+Nfuuypkw3p1iQdeWjNVdAaMt6c8dPYwpEAXkMaJgOnm8sD2pq847re5FhZkWj8d0fEdKe/vzKnlWScdoYXtS8Xhr+jXHMVrUMbTMNKsbYToWtif17tct0Ye/+3jLj6PZjD4cQeM4puGK2B0pV7v3D+izdz2pb17ao850awp7gyyZdLV4+AJDsVjW3v7CmPFIRyqmM06YozNP7NTcZKxmNcSZGDM0mi/o7kiqLeFoR2+/1t66pRLjxjU9OrW7nbEDWiZf8nTND586Oo942cq6P5dJxtTdkaybz2XPBnIbrHg8plcvbG94nJ/UlVFHKt5w3F5dLLX+tq2VdmR+29DPOU5MJ8wL+HL0CI2RPqxU8rRrf1bWWn2m6rrDzWt61J6IaV7a1Z3r36hi2ZtQ3zVeP1QsezppfoY+BwDG0Wg8MCcRV1dmYucOjdriff0FLR1eRGPxvDYdGBi6OaO7I6m/fu8Z6s4kZmxO09gWLMEfJCtXrrRbtmyp+72+/pxePJQfc/J4wtykutqDf4EdoTKtUdd4eVwqefrdy0cqS3ou6Uzrpkt79OpFHYG/G8PzrHb1ZcfchXNSV/AHqp5ntf3lIzUTO5suW8vp8+MAACAASURBVKllizoCH/vewzn1Hslp75FC5XNf2JFQd0dKC+eM2/ZN+Y2Nl8OS1Hskr7+88edjOsx7rjw3cHdXjdZ7JK8v3vPkmJWd/u4vVwQ+9kKhpO292TH94LLuTOC3EPA8qxcODihfspUVMJLu0MBqnGNwxtpixhRoIfIYUTCzeXwwN6YY9oR5qQnl8dAFxvyMXjxEZMzY2DjsOI5ab4pt34y1xUDvkbx27ctKsvr0nb+p5OWNl5ypeW1xxR0jz6oZ7UMk8zgI7eiBgZx278/VbElx06U9OmFeUqWy9F+++Wgo53ACKpJ5PJMmM4/oeVYHBvN66WC+Zv78xkvO1I9+84I+9uZTIpm3PrQj5DFUKnnaP1BQoezJ86xS8ZgWtCendL3kQDan3QfG9kPxmPTRW7bORJ9DDmPGnXT1j6b0vF1fftdEf5Q8Ro3pjgf2Hs5p94EBfWrzrytt8dfe/1p1ZhJ6RWfbTI0txs3jYF+5bLFS2SoeU81WASWvrFJ5dhWEIdxc19GrF3XozvVvVKnsyY05WtieDHyhkzR0p9+JnW1KxWM1sQe9WEgaiv3U7vYxn3sYYrfWqjhqO4OiZ+VnMWyhVG6wnHTw7q4arSuT0KffvmxM4VsYltFNJFwt687U3CnWnUkEvtBJUqViPCgrUDCmQBSQx4iCUtkq7pop57ExRsYYSbbq/wFMRjwe0+LONr/DmFWm2/YBzVIqedrbn1ex7Onv7/+trn3vcn31fa/VgvaEYo5R0nXUnaEA8lim045W/w3i05gjnJtKqr/OFrsdibj29udDO4eDaJjMPKLjGHWmk4rHpM3rVqlQ8lT2rO7a8gf9xZlLpzR/53lWBwcLGiyUVbbDBR2ZYM0LMx6DH1zXOdbN1DXG67PmppPqz5fHjG+vvvsp+hwAmKDpjgestYo5puacznWMUvGYerOFaZ9zTEXwqx9ayBije7buqVzgt9bqnq17mNBG6DiOUTzmKDb83yCdWI3H86x29Pbr/Rt/oTdf/4jev/EX2tHbL88L/oRsmGN3HEc3PvyMCuWhPVkLZU83PvyMHMe/LiIec/SO5Qu1cU2P7li3ShvX9OgdyxcqHoLtGB3HaNmiDt1z5bn6+effqnuuPDcUK3yNSCRcLe5s0yu6Mlrc2RaKQqcRjmPU3ZHU4s42dXf4O6nEmAJRQB4jChzH0X/7ye+1s7dfvUfy2tnbr//2k99PaJwzsuz+9j8e0R8P5bT9j0e0a39WpZLXgsgBYOrowxEExWJZLxwa1IsHB1UoeeruSOhv7t2mQ4NF9fUXtGvfgFLxGIVOM6iZY5mRG4zmpuNKuo7mpuNaMm/o7u2EG9OSztotsJZ0ppVw+duiNSabg45jNCeV0glz0+pIxdWWiOljbz5lSvN3IzsV7N4/oN+/3K+XDub09AuHtasvG4p5YSAojtVnjfRDbYmY9mcL2tnbry/c/ZSe2H2QPgcAWmTkevLIOd3vX+7Xhvu2qVj2fJs/Dc8VzBaIOdK7XrtYH/7u4zXLl4bg2jpQEebt1PqyhUrc0tAdOGtv3RKKZa/DHHsQVyKKOdIn3nZqzbK0YWqPR4puMHsxpkAUkMeIgumMc/YPFNR7JK9rfvhU5bnXr16hOan4pO5OBYBWow+H3zzP6vd7+7V+1BZRX39oh9bftrXSH89LB38F5DBr9lim0VxHVyahTZetDNS8EmaXqeZgM+bv+rIF9fUXVPK8McfavLa45meYHwQmYiJ9luMYHTcnpUODRf3fd/yaPgcAWqzePOt3P/wGvXBg0Lf5U4qdqgwWvcqFdWmoWOHK7/1Km9et8jkyYOLCXHQT5q3Lwhx79UpEQdj+S6I9RviRw4gC8hhRMJ1xTqHs6bN3PVlzDHz2ric5BgAEHn04/NaXLVQKnaSjOfidD71BX3zXcrUlXN/nHWaDVo1lgjivhNnFzxwslMpa0J7Qmm//rzHH2h3rVkmZGQ8BiISJ9ln0OQDgn3ptcKFU1ofu/I1v86cUO1Upe7ZusQLLjSJMwlx0M7LkcHX8YVmCNMyxS8FbiYj2GGFHDiMKyGNExVTHORwDAMKK9gt+azQ3dWiwqBPmpQM1/xBlrWwLgjavhNnHrxxMuDENFr26x1qZbheYsMn0WfQ5AOCf0W3w831ZX+cfWMC6Sjpef2/nFHvHI0Qmu0d5kIwsOTwSf5iWIA1z7EFEe4ywI4cRBeQxZjuOAQBhRfsFvzWam+ruSGphOxcnW4W2AJh5XZmEkq7T4Fjj8hswUfRZABBOfrffjLaqLGhPatOaUcUKa1ZqASfhCJEwF91UL3/388+/Vfdcea6WLeoIxRKkYY49iGiPEXbkMKKAPMZsxzEAIKxov+C3enNTGy/t0QlzUnJdpqNbhbYAmHmOY3T8nJQ2rukZMx+/IMOxBkwUfRYAhJPf7Tfb2FVxHKNlx7HXK8It7HsWh3kJ0jDHHjS0xwg7chhRQB5jtuMYABBWtF/wW9jnpqKCtgBoDdd19Jrj5nCsAdNAnwUA4eR3+02x0ygUKyAKyGNEAXmMsCOHEQXkMWY7jgEAYUX7Bb+Rg8HA3wFoDY41YPo4jgAgnPxsv1k3GAAAAAAAAAAAAAAAAEAoUOwEAAAAAAAAAAAAAAAAIBQodgIAAAAAAAAAAAAAAAAQChQ7AQAAAAAAAAAAAAAAAAgF1+8AgsbzrPqyBRVKZSXcmLoyCTmO8TssACFA+9FcfJ4IO3IYUUAeIwrIYwCzEW0fWol8izb+vvAbOQhAoi0AgFYJU3tLsVMVz7Pa1ZfV830DakvENFAo6xVdbTqpKxPYPyBQT5gaoajwPKvtLx/R2lu3aM+BQS3pTGvTZSu1bFEHn/0U0B4j7MhhRAF5jCggjwHMRrR9aCXyLdpG5ru+9uB2Xdi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\n",
      "text/plain": [
       "<Figure size 2340x2340 with 182 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Wm</th>\n",
       "      <th>W0m</th>\n",
       "      <th>dm</th>\n",
       "      <th>tm</th>\n",
       "      <th>rows</th>\n",
       "      <th>Xa</th>\n",
       "      <th>Ya</th>\n",
       "      <th>gain</th>\n",
       "      <th>vswr</th>\n",
       "      <th>bandwidth</th>\n",
       "      <th>s</th>\n",
       "      <th>pr</th>\n",
       "      <th>p0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Wm</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.171309</td>\n",
       "      <td>-0.054871</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.094915</td>\n",
       "      <td>-0.123847</td>\n",
       "      <td>-0.074435</td>\n",
       "      <td>-0.395668</td>\n",
       "      <td>0.225925</td>\n",
       "      <td>-0.182720</td>\n",
       "      <td>0.081740</td>\n",
       "      <td>-0.286041</td>\n",
       "      <td>-0.348246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>W0m</th>\n",
       "      <td>-0.171309</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.069928</td>\n",
       "      <td>-0.171309</td>\n",
       "      <td>0.037296</td>\n",
       "      <td>-0.105214</td>\n",
       "      <td>0.009966</td>\n",
       "      <td>0.087153</td>\n",
       "      <td>-0.033586</td>\n",
       "      <td>0.015603</td>\n",
       "      <td>-0.022329</td>\n",
       "      <td>0.085918</td>\n",
       "      <td>0.072048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dm</th>\n",
       "      <td>-0.054871</td>\n",
       "      <td>0.069928</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.054871</td>\n",
       "      <td>-0.041206</td>\n",
       "      <td>-0.056356</td>\n",
       "      <td>0.026619</td>\n",
       "      <td>0.055133</td>\n",
       "      <td>-0.098094</td>\n",
       "      <td>0.039560</td>\n",
       "      <td>-0.088353</td>\n",
       "      <td>0.160868</td>\n",
       "      <td>0.200659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tm</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.171309</td>\n",
       "      <td>-0.054871</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.094915</td>\n",
       "      <td>-0.123847</td>\n",
       "      <td>-0.074435</td>\n",
       "      <td>-0.395668</td>\n",
       "      <td>0.225925</td>\n",
       "      <td>-0.182720</td>\n",
       "      <td>0.081740</td>\n",
       "      <td>-0.286041</td>\n",
       "      <td>-0.348246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rows</th>\n",
       "      <td>-0.094915</td>\n",
       "      <td>0.037296</td>\n",
       "      <td>-0.041206</td>\n",
       "      <td>-0.094915</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.110556</td>\n",
       "      <td>-0.516235</td>\n",
       "      <td>0.084706</td>\n",
       "      <td>-0.441026</td>\n",
       "      <td>0.262781</td>\n",
       "      <td>-0.604748</td>\n",
       "      <td>0.217393</td>\n",
       "      <td>0.241406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Xa</th>\n",
       "      <td>-0.123847</td>\n",
       "      <td>-0.105214</td>\n",
       "      <td>-0.056356</td>\n",
       "      <td>-0.123847</td>\n",
       "      <td>0.110556</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.075075</td>\n",
       "      <td>0.136164</td>\n",
       "      <td>-0.274685</td>\n",
       "      <td>0.368560</td>\n",
       "      <td>-0.167747</td>\n",
       "      <td>0.225856</td>\n",
       "      <td>0.180020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ya</th>\n",
       "      <td>-0.074435</td>\n",
       "      <td>0.009966</td>\n",
       "      <td>0.026619</td>\n",
       "      <td>-0.074435</td>\n",
       "      <td>-0.516235</td>\n",
       "      <td>-0.075075</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.002800</td>\n",
       "      <td>0.694198</td>\n",
       "      <td>-0.486391</td>\n",
       "      <td>0.758681</td>\n",
       "      <td>-0.184268</td>\n",
       "      <td>-0.178931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gain</th>\n",
       "      <td>-0.395668</td>\n",
       "      <td>0.087153</td>\n",
       "      <td>0.055133</td>\n",
       "      <td>-0.395668</td>\n",
       "      <td>0.084706</td>\n",
       "      <td>0.136164</td>\n",
       "      <td>0.002800</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.555780</td>\n",
       "      <td>0.579664</td>\n",
       "      <td>-0.187028</td>\n",
       "      <td>0.882747</td>\n",
       "      <td>0.698580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vswr</th>\n",
       "      <td>0.225925</td>\n",
       "      <td>-0.033586</td>\n",
       "      <td>-0.098094</td>\n",
       "      <td>0.225925</td>\n",
       "      <td>-0.441026</td>\n",
       "      <td>-0.274685</td>\n",
       "      <td>0.694198</td>\n",
       "      <td>-0.555780</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.876347</td>\n",
       "      <td>0.813835</td>\n",
       "      <td>-0.747752</td>\n",
       "      <td>-0.666521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bandwidth</th>\n",
       "      <td>-0.182720</td>\n",
       "      <td>0.015603</td>\n",
       "      <td>0.039560</td>\n",
       "      <td>-0.182720</td>\n",
       "      <td>0.262781</td>\n",
       "      <td>0.368560</td>\n",
       "      <td>-0.486391</td>\n",
       "      <td>0.579664</td>\n",
       "      <td>-0.876347</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.520604</td>\n",
       "      <td>0.688038</td>\n",
       "      <td>0.429216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>s</th>\n",
       "      <td>0.081740</td>\n",
       "      <td>-0.022329</td>\n",
       "      <td>-0.088353</td>\n",
       "      <td>0.081740</td>\n",
       "      <td>-0.604748</td>\n",
       "      <td>-0.167747</td>\n",
       "      <td>0.758681</td>\n",
       "      <td>-0.187028</td>\n",
       "      <td>0.813835</td>\n",
       "      <td>-0.520604</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.464130</td>\n",
       "      <td>-0.548871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pr</th>\n",
       "      <td>-0.286041</td>\n",
       "      <td>0.085918</td>\n",
       "      <td>0.160868</td>\n",
       "      <td>-0.286041</td>\n",
       "      <td>0.217393</td>\n",
       "      <td>0.225856</td>\n",
       "      <td>-0.184268</td>\n",
       "      <td>0.882747</td>\n",
       "      <td>-0.747752</td>\n",
       "      <td>0.688038</td>\n",
       "      <td>-0.464130</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.879642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p0</th>\n",
       "      <td>-0.348246</td>\n",
       "      <td>0.072048</td>\n",
       "      <td>0.200659</td>\n",
       "      <td>-0.348246</td>\n",
       "      <td>0.241406</td>\n",
       "      <td>0.180020</td>\n",
       "      <td>-0.178931</td>\n",
       "      <td>0.698580</td>\n",
       "      <td>-0.666521</td>\n",
       "      <td>0.429216</td>\n",
       "      <td>-0.548871</td>\n",
       "      <td>0.879642</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Wm       W0m        dm        tm      rows        Xa  \\\n",
       "Wm         1.000000 -0.171309 -0.054871  1.000000 -0.094915 -0.123847   \n",
       "W0m       -0.171309  1.000000  0.069928 -0.171309  0.037296 -0.105214   \n",
       "dm        -0.054871  0.069928  1.000000 -0.054871 -0.041206 -0.056356   \n",
       "tm         1.000000 -0.171309 -0.054871  1.000000 -0.094915 -0.123847   \n",
       "rows      -0.094915  0.037296 -0.041206 -0.094915  1.000000  0.110556   \n",
       "Xa        -0.123847 -0.105214 -0.056356 -0.123847  0.110556  1.000000   \n",
       "Ya        -0.074435  0.009966  0.026619 -0.074435 -0.516235 -0.075075   \n",
       "gain      -0.395668  0.087153  0.055133 -0.395668  0.084706  0.136164   \n",
       "vswr       0.225925 -0.033586 -0.098094  0.225925 -0.441026 -0.274685   \n",
       "bandwidth -0.182720  0.015603  0.039560 -0.182720  0.262781  0.368560   \n",
       "s          0.081740 -0.022329 -0.088353  0.081740 -0.604748 -0.167747   \n",
       "pr        -0.286041  0.085918  0.160868 -0.286041  0.217393  0.225856   \n",
       "p0        -0.348246  0.072048  0.200659 -0.348246  0.241406  0.180020   \n",
       "\n",
       "                 Ya      gain      vswr  bandwidth         s        pr  \\\n",
       "Wm        -0.074435 -0.395668  0.225925  -0.182720  0.081740 -0.286041   \n",
       "W0m        0.009966  0.087153 -0.033586   0.015603 -0.022329  0.085918   \n",
       "dm         0.026619  0.055133 -0.098094   0.039560 -0.088353  0.160868   \n",
       "tm        -0.074435 -0.395668  0.225925  -0.182720  0.081740 -0.286041   \n",
       "rows      -0.516235  0.084706 -0.441026   0.262781 -0.604748  0.217393   \n",
       "Xa        -0.075075  0.136164 -0.274685   0.368560 -0.167747  0.225856   \n",
       "Ya         1.000000  0.002800  0.694198  -0.486391  0.758681 -0.184268   \n",
       "gain       0.002800  1.000000 -0.555780   0.579664 -0.187028  0.882747   \n",
       "vswr       0.694198 -0.555780  1.000000  -0.876347  0.813835 -0.747752   \n",
       "bandwidth -0.486391  0.579664 -0.876347   1.000000 -0.520604  0.688038   \n",
       "s          0.758681 -0.187028  0.813835  -0.520604  1.000000 -0.464130   \n",
       "pr        -0.184268  0.882747 -0.747752   0.688038 -0.464130  1.000000   \n",
       "p0        -0.178931  0.698580 -0.666521   0.429216 -0.548871  0.879642   \n",
       "\n",
       "                 p0  \n",
       "Wm        -0.348246  \n",
       "W0m        0.072048  \n",
       "dm         0.200659  \n",
       "tm        -0.348246  \n",
       "rows       0.241406  \n",
       "Xa         0.180020  \n",
       "Ya        -0.178931  \n",
       "gain       0.698580  \n",
       "vswr      -0.666521  \n",
       "bandwidth  0.429216  \n",
       "s         -0.548871  \n",
       "pr         0.879642  \n",
       "p0         1.000000  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#data Correlation\n",
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x640 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotCorrelationMatrix(df, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#our dependent and independent variable\n",
    "\n",
    "X= df[['Xa', 'Ya']]\n",
    "Y=df['bandwidth']\n",
    "\n",
    "X,Y = np.array(X), np.array(Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x2287816a788>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# data visulization\n",
    "\n",
    "sns.jointplot(df['Xa'],df['bandwidth'],kind='hex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x2287828a288>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(df['Ya'],df['bandwidth'],kind='hex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3D plot\n",
    "\n",
    "from mpl_toolkits import mplot3d\n",
    "fig = plt.figure()\n",
    "ax = plt.axes(projection='3d')\n",
    "i=df['Xa']\n",
    "j=df['Ya']\n",
    "k=df['bandwidth']\n",
    "ax.scatter3D(i, j, k, c='blue');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##Multiple Linear Regression\n",
    "from sklearn import linear_model\n",
    "regr = linear_model.LinearRegression()\n",
    "regr.fit(X , Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "coefficient of determination: 0.3474544174216285 \n",
      "\n",
      "the other methods can be more useful\n"
     ]
    }
   ],
   "source": [
    "r_sq=regr.score(X,Y)\n",
    "print('coefficient of determination:',r_sq,'\\n')\n",
    "if r_sq>0.5:\n",
    "    print('Multiple Linear Regression is good for this data')\n",
    "else:\n",
    "    print('the other methods can be more useful')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Polynomial Regression\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "\n",
    "## degree = 2\n",
    "###Transform input data\n",
    "x_2 = PolynomialFeatures(degree=2, include_bias=False).fit_transform(X)\n",
    "\n",
    "###Create a model and fit it\n",
    "model2=LinearRegression().fit(x_2,Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r_squered is :  0.6181465645700557\n",
      "intercept is :  112.42000066802518\n",
      "the coefficients is:  [ 2.36438017e-03  1.86669051e-03 -2.53579655e-07  1.64361687e-07\n",
      " -2.00632938e-07]\n"
     ]
    }
   ],
   "source": [
    "###get results (degree=2)\n",
    "r_sq=model2.score(x_2,Y)\n",
    "intercept, coefficients = model2.intercept_,model2.coef_\n",
    "\n",
    "print('r_squered is : ',r_sq)\n",
    "print('intercept is : ',intercept)\n",
    "print('the coefficients is: ',coefficients)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "## degree = 3\n",
    "x_3 = PolynomialFeatures(degree=3, include_bias=False).fit_transform(X)\n",
    "\n",
    "model3=LinearRegression().fit(x_3,Y)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r_squered is :  0.7541097920340005\n",
      "intercept is :  113.12948124650052\n",
      "the coefficients is:  [ 8.21820542e-03 -2.28343483e-03 -1.32987714e-06 -4.28270322e-07\n",
      "  6.02203195e-07  7.33975662e-11 -8.46543924e-12  3.71507856e-11\n",
      " -3.54513367e-11]\n"
     ]
    }
   ],
   "source": [
    "###get results (degree=3)\n",
    "r_sq=model3.score(x_3,Y)\n",
    "intercept, coefficients = model3.intercept_,model3.coef_\n",
    "\n",
    "print('r_squered is : ',r_sq)\n",
    "print('intercept is : ',intercept)\n",
    "print('the coefficients is: ',coefficients)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "## degree = 4\n",
    "x_4 = PolynomialFeatures(degree=4, include_bias=False).fit_transform(X)\n",
    "\n",
    "model4=LinearRegression().fit(x_4,Y)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r_squered is :  0.7998148091977761\n",
      "intercept is :  107.01095727296126\n",
      "the coefficients is:  [ 1.61814587e-02  1.22059580e-05 -5.08377403e-06  2.85192491e-07\n",
      " -2.77269031e-07  5.86311293e-10  6.01538810e-11 -1.13511558e-10\n",
      "  7.05621557e-11 -2.36715732e-14  5.30039006e-16 -4.09461322e-15\n",
      "  6.80846590e-15 -3.67486812e-15]\n"
     ]
    }
   ],
   "source": [
    "###get results (degree=4)\n",
    "r_sq=model4.score(x_4,Y)\n",
    "intercept, coefficients = model4.intercept_,model4.coef_\n",
    "\n",
    "print('r_squered is : ',r_sq)\n",
    "print('intercept is : ',intercept)\n",
    "print('the coefficients is: ',coefficients)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# train/test\n",
    "\n",
    "\n",
    "#80% training_set     /    20% testing_set\n",
    "tx1=X[:int(0.4*509)]\n",
    "tx2=X[int(0.6*509):]\n",
    "train_x=np.concatenate((tx1, tx2))\n",
    "\n",
    "ty1=Y[:int(0.4*509)]\n",
    "ty2=Y[int(0.6*509):]\n",
    "train_y=np.concatenate((ty1, ty2))\n",
    "\n",
    "test_x=X[int(0.4*509):int(0.6*509)]\n",
    "test_y=Y[int(0.4*509):int(0.6*509)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r_squered is :  0.7613439834149935\n",
      "intercept is :  111.65866360233889\n",
      "the coefficients is:  [ 2.36438017e-03  1.86669051e-03 -2.53579655e-07  1.64361687e-07\n",
      " -2.00632938e-07]\n"
     ]
    }
   ],
   "source": [
    "##degree=2 (train/test)\n",
    "\n",
    "###Transform input data\n",
    "train_x2 = PolynomialFeatures(degree=2, include_bias=False).fit_transform(train_x)\n",
    "test_x2 = PolynomialFeatures(degree=2, include_bias=False).fit_transform(test_x)\n",
    "\n",
    "###Create a model and fit it\n",
    "n_model2=LinearRegression().fit(train_x2,train_y)\n",
    "\n",
    "###get results (train/test) (degree=2)\n",
    "r_sq=n_model2.score(test_x2,test_y)\n",
    "\n",
    "intercept, coefficients = n_model2.intercept_,model2.coef_\n",
    "\n",
    "print('r_squered is : ',r_sq)\n",
    "print('intercept is : ',intercept)\n",
    "print('the coefficients is: ',coefficients)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r_squered is :  0.8993607256178735\n",
      "intercept is :  111.61356637305735\n",
      "the coefficients is:  [ 8.21820542e-03 -2.28343483e-03 -1.32987714e-06 -4.28270322e-07\n",
      "  6.02203195e-07  7.33975662e-11 -8.46543924e-12  3.71507856e-11\n",
      " -3.54513367e-11]\n"
     ]
    }
   ],
   "source": [
    "##degree=3 (train/test)\n",
    "\n",
    "###Transform input data\n",
    "train_x3 = PolynomialFeatures(degree=3, include_bias=False).fit_transform(train_x)\n",
    "test_x3 = PolynomialFeatures(degree=3, include_bias=False).fit_transform(test_x)\n",
    "\n",
    "###Create a model and fit it\n",
    "n_model3=LinearRegression().fit(train_x3,train_y)\n",
    "\n",
    "###get results (train/test) (degree=3)\n",
    "r_sq=n_model3.score(test_x3,test_y)\n",
    "\n",
    "intercept, coefficients = n_model3.intercept_,model3.coef_\n",
    "\n",
    "print('r_squered is : ',r_sq)\n",
    "print('intercept is : ',intercept)\n",
    "print('the coefficients is: ',coefficients)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r_squered is :  0.931506606031902\n",
      "intercept is :  105.22239777956857\n",
      "the coefficients is:  [ 1.61814587e-02  1.22059580e-05 -5.08377403e-06  2.85192491e-07\n",
      " -2.77269031e-07  5.86311293e-10  6.01538810e-11 -1.13511558e-10\n",
      "  7.05621557e-11 -2.36715732e-14  5.30039006e-16 -4.09461322e-15\n",
      "  6.80846590e-15 -3.67486812e-15]\n"
     ]
    }
   ],
   "source": [
    "##degree=4 (train/test)\n",
    "\n",
    "###Transform input data\n",
    "train_x4 = PolynomialFeatures(degree=4, include_bias=False).fit_transform(train_x)\n",
    "test_x4 = PolynomialFeatures(degree=4, include_bias=False).fit_transform(test_x)\n",
    "\n",
    "###Create a model and fit it\n",
    "n_model4=LinearRegression().fit(train_x4,train_y)\n",
    "\n",
    "###get results (train/test) (degree=4)\n",
    "r_sq=n_model4.score(test_x4,test_y)\n",
    "\n",
    "intercept, coefficients = n_model4.intercept_,model4.coef_\n",
    "\n",
    "print('r_squered is : ',r_sq)\n",
    "print('intercept is : ',intercept)\n",
    "print('the coefficients is: ',coefficients)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[120.34040699]\n"
     ]
    }
   ],
   "source": [
    "##degree=4 (predict)\n",
    "\n",
    "k=np.array([[5700, 6482]])\n",
    "###Transform input data\n",
    "k = PolynomialFeatures(degree=4, include_bias=False).fit_transform(k)\n",
    "\n",
    "predicted = n_model4.predict(k)\n",
    "print(predicted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "xs=np.linspace(2500,9000,1000)\n",
    "ys=np.linspace(3500,13000,1000)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000000, 2)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#predicting the data\n",
    "\n",
    "mesh = np.array(np.meshgrid(xs, ys))\n",
    "combinations = mesh.T.reshape(-1, 2)\n",
    "combinations.shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000000,)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###Transform input data\n",
    "k = PolynomialFeatures(degree=4, include_bias=False).fit_transform(combinations)\n",
    "\n",
    "predicted = n_model4.predict(k)\n",
    "predicted.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3D plot\n",
    "\n",
    "from mpl_toolkits import mplot3d\n",
    "fig = plt.figure()\n",
    "ax = plt.axes(projection='3d')\n",
    "i=np.linspace(2500,9000,1000000)\n",
    "j=np.linspace(3500,13000,1000000)\n",
    "k=predicted\n",
    "ax.scatter3D(i, j, k, c='blue');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "y1 = np.asarray(df['bandwidth'], dtype=\"|S6\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "StandardScaler(copy=True, with_mean=True, with_std=True)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "scaler = StandardScaler()\n",
    "\n",
    "# Fit only to the training data\n",
    "scaler.fit(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "StandardScaler(copy=True, with_mean=True, with_std=True)\n",
    "\n",
    "# Now apply the transformations to the data:\n",
    "X= scaler.transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\amxja\\anaconda3\\lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:571: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n",
      "  % self.max_iter, ConvergenceWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "MLPClassifier(activation='relu', alpha=0.0001, batch_size='auto', beta_1=0.9,\n",
       "              beta_2=0.999, early_stopping=False, epsilon=1e-08,\n",
       "              hidden_layer_sizes=(2, 2, 2), learning_rate='constant',\n",
       "              learning_rate_init=0.001, max_fun=15000, max_iter=500,\n",
       "              momentum=0.9, n_iter_no_change=10, nesterovs_momentum=True,\n",
       "              power_t=0.5, random_state=None, shuffle=True, solver='adam',\n",
       "              tol=0.0001, validation_fraction=0.1, verbose=False,\n",
       "              warm_start=False)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# neural network model\n",
    "\n",
    "from sklearn.neural_network import MLPClassifier\n",
    "\n",
    "mlp = MLPClassifier(hidden_layer_sizes=(2,2,2),max_iter=500)\n",
    "mlp.fit(X,y1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[b'123.48']\n"
     ]
    }
   ],
   "source": [
    "# predicting the data\n",
    "print(mlp.predict([[0.523,0.345]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#this is the END, the END, the END"
   ]
  }
 ],
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