notebooks/malts.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Malts\n",
    "\n",
    "What kind of malts are commonly used in certain beer styles? And how many do they use?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import pandas\n",
    "\n",
    "json_data = json.load(open(\"../data/recipes.json\"))\n",
    "malts = pandas.json_normalize(json_data, \"malts\", [\"style\"], record_prefix=\"malt_\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pick styles to analyze:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>mean</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>malt_kind</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>pale ale</th>\n",
       "      <td>14.410828</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>70.707668</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilsner</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>56.581553</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wiener</th>\n",
       "      <td>6.930693</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.622782</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sauermalz</th>\n",
       "      <td>0.892857</td>\n",
       "      <td>9.090909</td>\n",
       "      <td>3.129940</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carahell</th>\n",
       "      <td>1.818182</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>7.289741</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>münchner</th>\n",
       "      <td>1.785714</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>19.648646</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>karamellmalz hell</th>\n",
       "      <td>2.439024</td>\n",
       "      <td>22.880952</td>\n",
       "      <td>9.065816</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weizenmalz hell</th>\n",
       "      <td>3.846154</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>13.704486</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>haferflocken</th>\n",
       "      <td>1.162791</td>\n",
       "      <td>12.987013</td>\n",
       "      <td>4.828750</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>münchner typ i</th>\n",
       "      <td>6.250000</td>\n",
       "      <td>62.500000</td>\n",
       "      <td>20.026313</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carapils</th>\n",
       "      <td>1.607717</td>\n",
       "      <td>25.925926</td>\n",
       "      <td>7.245270</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>karamellmalz pils</th>\n",
       "      <td>2.500000</td>\n",
       "      <td>11.627907</td>\n",
       "      <td>6.293442</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>münchner typ ii</th>\n",
       "      <td>5.128205</td>\n",
       "      <td>33.333333</td>\n",
       "      <td>18.054206</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>karamellmalz dunkel typ ii</th>\n",
       "      <td>3.703704</td>\n",
       "      <td>18.277778</td>\n",
       "      <td>8.302977</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>melanoidinmalz</th>\n",
       "      <td>0.892857</td>\n",
       "      <td>17.647059</td>\n",
       "      <td>5.630582</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>karamellmalz rot</th>\n",
       "      <td>2.597403</td>\n",
       "      <td>26.166667</td>\n",
       "      <td>10.712021</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maris otter</th>\n",
       "      <td>17.857143</td>\n",
       "      <td>93.639576</td>\n",
       "      <td>72.916601</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carared</th>\n",
       "      <td>3.389831</td>\n",
       "      <td>10.416667</td>\n",
       "      <td>6.119632</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>karamellmalz amber</th>\n",
       "      <td>3.095685</td>\n",
       "      <td>15.739769</td>\n",
       "      <td>9.714987</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weizenmalz</th>\n",
       "      <td>4.166667</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>8.093407</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  min         max       mean  count\n",
       "malt_kind                                                          \n",
       "pale ale                    14.410828  100.000000  70.707668    150\n",
       "pilsner                     10.000000  100.000000  56.581553    112\n",
       "wiener                       6.930693  100.000000  42.622782     57\n",
       "sauermalz                    0.892857    9.090909   3.129940     48\n",
       "carahell                     1.818182   20.000000   7.289741     35\n",
       "münchner                     1.785714   88.000000  19.648646     32\n",
       "karamellmalz hell            2.439024   22.880952   9.065816     30\n",
       "weizenmalz hell              3.846154   50.000000  13.704486     30\n",
       "haferflocken                 1.162791   12.987013   4.828750     23\n",
       "münchner typ i               6.250000   62.500000  20.026313     23\n",
       "carapils                     1.607717   25.925926   7.245270     21\n",
       "karamellmalz pils            2.500000   11.627907   6.293442     19\n",
       "münchner typ ii              5.128205   33.333333  18.054206     18\n",
       "karamellmalz dunkel typ ii   3.703704   18.277778   8.302977     15\n",
       "melanoidinmalz               0.892857   17.647059   5.630582     15\n",
       "karamellmalz rot             2.597403   26.166667  10.712021     14\n",
       "maris otter                 17.857143   93.639576  72.916601     14\n",
       "carared                      3.389831   10.416667   6.119632     11\n",
       "karamellmalz amber           3.095685   15.739769   9.714987     10\n",
       "weizenmalz                   4.166667   15.000000   8.093407      9"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Pick a style\n",
    "styles = [\"pale ale\"]\n",
    "\n",
    "style_malts = malts[malts[\"style\"].isin(styles)]\n",
    "# style_malts[\"malt_kind\"].value_counts()[:10]\n",
    "\n",
    "malt_ratio = style_malts.groupby(\"malt_kind\")['malt_amount_percent'].agg(['min', 'max', 'mean', 'count'])\n",
    "malt_ratio = malt_ratio[malt_ratio['count'] > 3] # Filter low amount of data points\n",
    "malt_ratio.sort_values(by='count', ascending=0).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_malts = style_malts[\"malt_kind\"].value_counts()[:20].index.values\n",
    "style_top_malts = style_malts[style_malts['malt_kind'].isin(top_malts)] # Get only the values of the mostly used malts\n",
    "# style_top_malts.loc[:, [\"malt_kind\", \"malt_amount_percent\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='malt_kind', ylabel='malt_amount_percent'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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0TC+EcEQIYdoanjs+hPCebMKSJEmSJElSGdU6m94XgGVreO65yvOSJEmSJEnSgGpNRu0B3LGG5/5VeV6SJEmSJEkaUK3JqOeBLdbw3FZAMrRwJEmSJEmSVGa1JqNuBj4bQlil8Xnl508D/y+juCRJkiRJklRCtc6mdwpwA3BXCOGnwEPA9sD7gJ2AgzKNTpIkSZIkSaVSU2VUjPHvwOuBR0kTU+cDX678/LrK85IkSZIkSdKABl0ZFULYAHgTcHuM8TUhhA2BVqA7xvjfegUoSZIkSZKk8hh0MirG+HwI4VfAG4B/VxJQJqEkSZIkSZI0aLU2ML8H2LYegUiSJEmSJKn8ak1GfQU4OYQwoR7BSJIkSRq6rq4ujj/+eBYtWpR3KJIkrabW2fQ+AmwO3B1CuJu0cXnS7/kkxviGjGKTJEmStB5mzpzJvHnzuOiiizj22GPzDkeSpFXUWhnVAtwN3AR0VX7eoN/X6EyjkyRJklSTrq4uOjo6SJKEjo4Oq6MkScNOTZVRMcbX1SsQSZIkSUM3c+ZMent7Aejt7bU6SpI07NRaGSVJkiRpGJszZw49PT0A9PT0MGfOnJwjkiRpVTUno0IILw4hXBxC+E8I4dkQwssry08NIRySfYiSJEmSBmvixIm0tKQDIFpaWpg4cWLOEUmStKqaklEhhAOAvwEvBS4DxgBNladbgE9kGp0kSZKkmkyePJnm5vQ0v7m5mSlTpuQckSRJq6p1Nr1vAr8H3gGMAj7Z77m5wPszikuSJEnSemhra6O9vZ2rr76a9vZ2xo8fn3dIkqRBOu+88+js7Mx8u/Pnzwdg2rRpmW8bYMKECUydOnXQ69eajHo58I4YYxJCSKqeewLYqsbtSZIkScrY5MmTWbBggVVRklQwnZ2d3HdnZKfNtsx0u5s2jQZg2YPZz7C6cPHjNf9Orcmo/wKbrOG5HYBM9yqEsDXwNeAtwObAQuALMcZL+63z1so6e1aePz3G+JMs45AkSZKKpK2tjRkzZuQdhiRpPey02ZacuP8ReYcxaF+7+Zc1/06tDcz/CHw+hLBRv2VJCKEF+DjpEL5MhBA2Bf4MbA+8CwjAB4EF/dbZj7R31aWkfay+DfwwhPD2rOKQJEmSJElSdmqtjPoi8BfgbuAqIAE+C7wY2AY4MsPYPk/al+ptMcZllWX3V63zGeDGGOMplZ/vriSopgGXZxiLJEmSJEmSMlBTMirGOD+EsC9wCunQueXAJNKKqLfGGB/IMLa3AzcB54QQ3kY6BPBXwNdijM9X1tkfOK/q964FLgghbNBvvbWaN29eNhFLkiRJGhGWLFlCOrl4sSxZsoS5c+cOaj0YW/+AMjTYfZOGsyVLlhTwyFL731+tlVHEGBeSDpert90qXzOBw4BdgXOBjYHjK+tsAzxa9XuPABsAWwAPD+Yf2nvvvRkzpogvtyRJkqQ8zJo1i6eeW7buFYeZTTbZhH333Xed682aNYuu/w7q3v6wMdh9k4azWbNmseyp7JuM11v139/SpUvXWvhTczKqTwhhB2Bb4OEY43/Wdztr0USaaPpwjHE5MDeEsBUwPYQwLcZYPZufJEmSJEmShrlaG5gTQvhwCGEhaSPxvwALQggLQgj/m3FsDwP3VBJRfe4CxpFWPUFaBbV11e9tDfQAT2QcjyRJkiRJkoaopmRUCGEa8APg78D7SPtFvQ+YSzqL3fFr+fVa3QTsHkLoH+OewDOsTDTdXImhvzcCfxtsvyhJkiRJkiQ1Tq3D9D4FnBNj/FTV8otDCN8BPg3MyCIw4FvAe4BvhxC+S9oz6svAd/sN0TsLuCmEcDLwS+D1wGTg3RnFIEmSJEmSpAzVOkyvFbhyDc9dCWw+pGj6iTHeSjpj3wHAbcD3gO8DJ/Vb56/Au4DDgTuA44CPxhgvzyoOSZIkSZIkZafWyqg/kyaH/jDAcweQDq3LTIzx98Dv17HOFcAVWf67kiRJkiRJqo9ak1FfAS4KIWwEXAo8BmxFOizu3cCUEMJ2fSvHGB/KKlBJkiRJkiQVX63JqBsr348nHRLXp6nq+T6j1icoSZIkSZIklVOtyagPAsk615IkSZIkSZIGUFMyKsZ4YS3rhxCOAq6MMXbX8nuSJEmSJEkqp1pn0xu0EMIo4AJg13r9G5IkSZIkSSqWuiWjKprWvYokSZIkSZJGinonoyRJkiRJkqQVTEZJkiRJkiSpYUxGSZIkSZIkqWFMRkmSJEmSJKlhWvIOQJIkSZI0vHR3d/N4VxeXXHNa3qEMyuNdC2jeoC3vMCQNUj0roxLgT8CSOv4bkiRJkiRJKpCaKqNCCMuBV8cY/zbAc/sCf4sxjgKIMfYCr8skSkmSJElSw7S2ttL7/Ma8501fyjuUQbnkmtNobd0g7zAkDVKtlVFNa3muBegdQiySJEmSJEkquXVWRoUQNgY27bdoixDCdlWrjQWOAP6TYWySJEmSJEkqmcEM0zsO+DJpD6gEuHIt6xajhlOSJEmSJEm5GEwy6nLgftIhej8BTgPmV62zFLgrxnhblsFJkiRJkiSpXNaZjKokmG4DCCEkwNUxxifqHZgkSZIkSZLKp6bZ9GKMP61XIJIkSZIkSSq/mpJRIYTRwBeAw4GdSBuX95fEGMdkFJskSZIkSZJKpqZkFPAtYCpwNfBb0l5RkiRJkiRJ0qDUmox6N3BijPGMegQjSZIkSZKkcmuucf2xwC31CESSJEmSJEnlV2sy6hKgvR6BSJIkScpGV1cXxx9/PIsWLco7FEkqDI+djVPrML3LgO+GEMYB1wLd1SvEGG/OIjBJkiRJ62fmzJnMmzePiy66iGOPPTbvcCSpEDx2Nk6tlVHXABOATwBXAjf2+/pz5bskSZKknHR1ddHR0UGSJHR0dHiHX5IGwWNnY9WajHpd1dfEfl99P0uSJEnKycyZM+nt7QWgt7eXiy66KOeIJGn489jZWDUN04sx/qlegUiSJEkaujlz5tDT0wNAT08Pc+bMcbiJJK2Dx87GqrUySpIkSdIwNnHiRFpa0nvOLS0tTJzo4AVJWhePnY1VU2VUCOF5IFnbOjHG0UOKSJIkSdJ6mzx5Mh0dHQA0NzczZcqUnCOSpOHPY2dj1Tqb3tdYPRnVBrQDY4ALM4hJkiRJ0npqa2ujvb2dq6++mvb2dsaPH593SJI07HnsbKxae0adMtDyEMIo0tn1ns4gJkmSJElDMHnyZBYsWOCdfUmqgcfOxsmkZ1SMcTlwHvCpLLYnSZIkaf21tbUxY8YM7+xLUg08djZOlg3MRwObZrg9SZIkSZIklUytDcx3GmDxaGBv4BvATVkEJUmSJEmSpHKqtYH5/Qw8m14T8Gfgo0MNSJIkSZIkSeVVazLqdQMsew5YGGN8OIN4JEmSJEmSVGK1zqb3p3oFIkmSJEmSpPKrtTIKgBBCAA4EWoFFwI0xxnuyDEySJEmShrPFXQu56YqvZ7rNpc8uBmDMuM0y3S6k8W6/5e6Zb1eSalVrA/MNgJ8Ak0n7RPVJQgi/AP43xtiTYXySJEmSNOxMmDChLtudP/8pALbfcsvMt739lrvXLW5JqkWtlVGnAIcDJwIXA48A2wDvBb4CLAROyjA+SZIkSRp2pk6dWpftTps2DYDp06fXZfuSNBzUmox6H3BqjPEb/ZYtAM4IIYwCPoLJKEmSJEmSJK1Bc43rbwP8bQ3P/a3yvCRJkiRJkjSgWpNRC4FD1vDcIcADQwtHkiRJkiRJZVbrML0fAaeHEMaxes+oTwBfyDY8SZIkSZIklUlNyagY4zdDCG3Ap0iTT32eB2bEGGdkGZwkSZIkSZLKpdbKKGKMnw8hnAG8CmgFuoG/xBgXZR2cJEmSJEmSyqXmZBRAJfF0TcaxSJIkSZIkqeRqTkaFEDYD3gDsAIytejqJMZ6eRWCSJEmSJEkqn5qSUSGEScCvgU3WsEoCmIySJEmSJEnSgGqtjDobuBX4JHBPjPH5zCOSJEmS1sPs2bPp6OgY1LqLFqXtTsePHz+o9dvb25k0adJ6xyZJklaqNRm1M/DpGOO/6hGMJEmS1Ajd3d3A4JNRkiQpO7Umo/4K7FKHOCRJkqQhmTRp0qCrl6ZNmwbA9OnT6xmSJEkaQK3JqGOBX4YQHgNmxxifrUNMkiRJkiRJKqlak1HzgVuAywBCCMurnk9ijGOyCEySJEmSJEnlU2sy6sfAu0mTUfcAyzKPSJIkSZIkSaVVazLqrcC0GOM59QhGkiRJkiRJ5dZc4/pLgFiPQCRJkiRJklR+tVZGnQt8COioQyxrFEI4Cvgp8PsY4xv7LX8r8DVgT2AhcHqM8SeNjE2SJEmSJEmDV2syqgl4ZQjhH8AfgO6q55MY4+mZRFYRQgjAN4AbqpbvR9q76jRgFnAI8MMQwqIY4+VZxiBJkiRJkqRs1JqM+krl+07ASwd4PgEyS0aFEMYAvwQ+R5ps2qbf058BbowxnlL5+e5KgmoacHlWMUiSJEmSJCk7NSWjYoy19pgaqjOBO2KMvwghHFL13P7AeVXLrgUuCCFsEGN8viERSpIkSZIkadBqrYxqmBDCO4E3AC9fwyrbAI9WLXsE2ADYAnh4sP/WvHnz1idESZIkFdSSJUsAmDt3bs6RSKsaLu/NNI6xucZQqyVLluT+/yYN1ZIlSxiTdxDroda/v/VKRoUQxgO7M8DRKcZ4w+q/UfP2dwS+D7wlxrhkqNtbl7333psxY4r4ckuSJGl9zJo1C4B9990350ikVQ2X9+asWbO4+8H7uOSa0zLd7rP/fRKAcRtunul2H1+0gBe8YPfc/9+koZo1axbLnlqUdxg122STTVb5+1u6dOlaC39qSkaFEDYELgDeTdrMfCCjatnmGuwLbAnclPYvB6C5EkMPsB9pFdTWVb+3NdADPJFBDJIkSZI0Ik2YMKEu231y/lMA7LjVlplut22r3esWs6Ts1VoZdQpwADCZdAa7jwHPAkcDuwKfyCiuPwIvrlp2Gunwu48B9wE3A5NYtWH6G4G/2S9KkiRJktbf1KlT67LdadOmATB9+vS6bF9SMdSajHoH6Yx6l1Z+nhtjnAv8IoRwUeX53w81qMrQvFXquUIITwJjY4zzKj+fRVo5dTLpjHuvJ02SvXuo/74kSZIkSZLqo9bZ8XYA7o4xLgeWApv3e+5nwLsyimudYox/rfx7hwN3AMcBH40xXt6oGCRJkiRJklSbWiujHgM2qzxeCLyadEgdwE5k0y9qQDHGYwZYdgVwRb3+TUmSJEmSJGWr1mTUjcArgauAXwBfCiFsCzwPfBD4XbbhSZIkSZIkqUxqTUZ9Bdi+8vgMYDzwHmAccDVwbHahSZIkSZIkqWxqSkbFGO8F7q08XgZ8pvI1oBDCQaRNzp8ZSpCSJEmSJEkqh1obmA9aCGEUcB0Q6vVvSJIkSZIkqVhqHaZXq6Y6b1+SJEmSJKkUuru7eWLxY3zt5l/mHcqgLVj8GFuMqy39U7fKKEmSpDLr6uri+OOPZ9GiRXmHIkmSVCj1roySJEkqpZkzZzJv3jwuuugijj3WOVwkSdLQtba2stGzCSfuf0TeoQza127+JaNbW2v6HSujJEmSatTV1UVHRwdJktDR0WF1lCRJUg1MRkmSJNVo5syZ9Pb2AtDb28tFF12Uc0SSJEnFYTJKkiSpRnPmzKGnpweAnp4e5syZk3NEkiRJxVHPZFQCLACW1vHfkCRJariJEyfS0pK23mxpaWHixIk5RyRJklQcNSWjQgidIYSXruG5vUMInX0/xxh7Y4y7xhj/NdQgJUmShpPJkyfT3JyeRjU3NzNlypScI5IkSSqOWiujdgHGrOG5DYEdhxSNJElSAbS1tdHe3k5TUxPt7e2MHz8+75CkEaWrq4vjjz/eyQMkqaDWZ5heUr0ghDAKeB3w6JAjkiRJKoDJkyez9957WxUl5WDmzJnMmzfPyQMkqaBa1rVCCOEk4KTKjwlwUwiherVRle/fzi40SZKk4autrY0ZM2bkHYY04nR1ddHR0UGSJHR0dDBlyhSrEyWpYAZTGXUD8DXg60AT8NPKz/2/TgTeCRxfnzAlSZKGF4cJSfmYOXMmvb29APT29lodJUkFtM7KqBjjn4A/AYQQEuD8GOOD9Q5MkiRpOOs/TOjYY4/NOxxpxJgzZw49PT0A9PT0MGfOHP8GJalgauoZFWM81USUJEka6aqHCVkdJTXOxIkTaWlJ76m3tLQwceLEnCOSJNVqMD2jfljD9pIY40eHEI8kSdKwN9AwISszpPU3e/ZsOjo6BrXu888/v6Iyavny5cyfP59p06at9Xfa29uZNGnSkOOUJGVjnckooJ0BZtBbg8GuJ0mSVFgOE5Lys8EGG9DS0kJPTw/jx49ngw02yDskSVKNBtMzapcGxCFJklQYEydO5Nprr6Wnp8dhQlIGJk2aVFPl0qc//WkWLlzId7/7XWfSk6QCqqlnlCRJkmDy5Mk0N6enUc3NzUyZMiXniKSRZYMNNmC33XYzESVJBTWYYXqrCSGMB3YHxlY/F2O8YahBSZIkDWdtbW20t7dz9dVX097e7gWxJElSDWpKRoUQNgQuAN4NNK1htVFDDUqSJGm4mzx5MgsWLLAqSpIkqUa1DtM7BTgAmEyajJoKHA3MAf4NvCnL4CRJkoartrY2ZsyYYVWUJElSjWpNRr0D+ApwaeXnuTHGX8QYJwF/rTwvSZIkSZIkDajWZNQOwN0xxuXAUmDzfs/9DHhXRnFJkiRJkiSphGpNRj0GbFZ5vBB4db/ndsJ+UZIkSZIkSVqLWmfTuxF4JXAV8AvgSyGEbYHngQ8Cv8s2PEmSJEkAs2fPpqOjY1DrLlq0CGDQPc3a29uZNGnSescmSVItak1GfQXYvvL4DGA88B5gHHA1cGx2oUmSJElaH93d3cDgk1GSJDVSTcmoGOO9wL2Vx8uAz1S+JEmSJNXRpEmTBl29NG3aNACmT59ez5AkSVovNSWjQghNwAeAd5M2Mx9btUoSYwwZxSZJkiRJkqSSqXWY3jeB44C5wB3AsswjkiRJkiRJUmnVmow6CjglxviVegQjSZIkSZKkcmuucf0m4OZ6BCJJkiRJkqTyqzUZ9Qvg7XWIQ5IkSZIkSSNArcP0Pg+cH0K4HOgAnqxeIcY4c+hhSZIkSZIkqYxqTUa9DDgE2BZ46wDPJ4DJKEmSJEmSJA2o1mF6PwQWAW8BArBr1deETKNToXR1dXH88cezaNGivEORJEmSJEnDVK2VUQF4V4zxd/UIRsU2c+ZM5s2bx0UXXcSxxx6bdziSJEmSJGkYqjUZ9S9g8zrEoYLr6uqio6ODJEno6OhgypQpjB8/Pu+wJEkZmz17Nh0dHYNev69adrCfCe3t7UyaNGm9YlM5nXfeeXR2dma+3fnz5wMwbdq0zLc9YcIEpk6dmvl2JUkqi1qTUZ8Gzgsh3BVj/Gf24aioZs6cSW9vLwC9vb1WR0mSAOju7gYGn4ySqnV2dnL73XfT1LZFpttNWjYA4I7Hn8h2u13Zbk+SpDKqNRl1IdAGzA0hLAK6q55PYowhi8BULHPmzKGnpweAnp4e5syZYzJKkkpo0qRJNVUu9VWdTJ8+vV4haQRoatuC0W9+Z95hDMqyqy7LOwRJkoa9WpNRN5HOmCetYuLEiVx77bX09PTQ0tLCxIkT8w5JkiRJkiQNQzUlo2KMx9QpDhXc5MmTV/QQaW5uZsqUKTlHJEmSJEmShqPmvANQObS1tdHe3k5TUxPt7e32BpEkSZIkSQOqdZietEaTJ09mwYIFVkVJkiRJkqQ1MhmlzLS1tTFjxoy8w5AkSSqE8847j87Ozrpse/78+cDKSQSyNGHCBKZOnZr5diVJI4fJKEmSJCkHnZ2d3H53pLltm8y3nbSMBWDe44sz3W5v1yOZbk+SNDKZjJIkDWtdXV2cfvrpnHDCCfajk1Q6zW3bMPYtR+UdxqA9d+XP8g5BklQCNjCXJA1rM2fOZN68eVx00UV5hyJJkiQpAyajJEnDVldXFx0dHSRJQkdHB4sWLco7JEmSJElDZDJKkjRszZw5k97eXgB6e3utjpIkSZJKwGSUJGnYmjNnDj09PQD09PQwZ86cnCOSJEmSNFQ2MJckDVsTJ07k2muvpaenh5aWFiZOnJh3SJIkSSqI2bNn09HRMej1+1pCDHbSnPb2diZNmrResY10VkZJkoatyZMn09ycflQ1NzczZcqUnCOSJElSWXV3d9Pd3Z13GCOClVGSpGGrra2N9vZ2rr76atrb2wd9l0qSJEmaNGlSTZVL06ZNA2D69On1CkkVJqMkScPa5MmTWbBggVVRklQw5513Hp2dnXXZ9vz584GVF45ZmjBhAlOnTs18u5KklUxGSZKGtba2NmbMmJF3GJKkGnV2dnL73fcyqm2HzLfd27IxAP96/L+Zbnd5138y3Z4kaWDDNhkVQvgc8C7gBcBy4FbgpBjj/6ta763A14A9gYXA6THGnzQ43EHp6uri9NNP54QTTnCoiSRJkkpvVNsObPLWT+cdxqAt+e3ZeYcgSSPCcG5g/lrgh8CBwAGkiabZIYTd+1YIIewHXAZcCrwU+DbwwxDC2xsd7GDMnDmTefPmcdFFF+UdiiRJkiRJUi6GbWVUjPFN/X8OIXwIeCtwKHBOZfFngBtjjKdUfr67kqCaBlzemEgHp6uri46ODpIkoaOjgylTplgdJUmSJEmSRpzhXBlVbSwwBug/z+L+QEfVetcC/xNC2KBRgQ3GzJkz6e3tBaC3t9fqKEmSJEmSNCIN28qoAUwHngSu6LdsG+DRqvUeATYAtgAeHsyG582bl0F4azd79mx6enoA6OnpYfbs2ey///51/3clScrTkiVLAJg7d27Okaio+t5DRbJkyZJBveeLuG9Q6/4V6XIjNdj9q+e/D+U9bpZ9/1Rsw+H9uWTJEsbk9q+vv1qPnYX4dAghfAmYDBwSY8z8U3vvvfdmzJj6vtyTJk3i2muvpaenh5aWFiZNmsS+++5b139TkqS8zZo1C8DPPK23WbNmwXNL8w6jJptsssmg3vPpvi1uQETZqm3/sp3trhEGu3/1UvbjZtn3T8U2HN6fs2bNYtlTi3L799dX9bFz6dKlay38GfbD9EIIpwLHAZNijNVptkeArauWbQ30AE80ILxBmzx5Ms3N6X93c3MzU6ZMyTkiSWXR1dXF8ccfz6JFxfvQkiRJkjTyDOtkVAjhDOBY0oqoWwZY5WZgUtWyNwJ/izE+X+/4atHW1kZ7eztNTU20t7fbvFxSZpypU8qHiWBJkqT1M2yTUSGEc4BPkA7PezCEsE3la7N+q50FHBRCODmkPl5Zf3oOIa/T5MmT2Xvvva2KkpSZ6pk6vSiWGqfsiWCTbZIkqV6GbTIK+CSwEfA70kbkfV/f7lshxvhX4F3A4cAdpMP5PhpjvLzRwQ5GW1sbM2bMsCpKUmacqVPKx0hIBJc92SZJkvIzbBuYxxibBrneFaw6w55y0tXVxemnn84JJ5xgwk1qkDlz5qwyU+ecOXM49thjc45KKr+BEsFl+turTrZNmTLFz3ZJkpSZ4VwZpYLxDqrUeBMnTqSlJb2v0NLSwsSJE3OOSBoZBkoEl4lVl5IkqZ6GbWWUisU7qFI+Jk+eTEdHB1DemTqtutRwNHHiRK699lp6enpKmQi26lKSpPwsXPw4X7v5l5luc/HSZwDYbMxGmW4X0nh3376283STUcpE2YcrSMNV30ydV199dWln6uxfdelxRcNF2RPBZU+2SZI0XE2YMKEu231qfjcAW26/Y+bb3n378TXHbTJKmfAOqpSfyZMns2DBgtJdDINVlxq+yp4ILnuyTZKk4Wrq1Kl12e60adMAmD59el22XyuTUcqEd1Cl/PTN1FlGVl1qOCtzIrjsyTZJUnGdd955dHZ21mXb8+fPB1YmbrI0YcKEuiWaishklDLhHVRJ9WDVpYazMieCodzJNklScXV2dnLfnfew06bbZr7tTdkQgGX/WZLpdhc+9XCm2ysDk1HKRFtbGwcddBB/+MMfOPjgg72DKikTVl1K+Rkuybbu7m6SridYdtVleYcyKEnXE3S3jMo7DEkqtZ023ZYT9vtw3mEM2tf/+qO8Qxh2TEYpc0mS5B2CRoDZs2evqMZbl0WLFgHUlCRtb29n0qRJ6xWbsmPVZWNY7i7lo7u7m96ux3juyp/lHcqg9XY9QndLb95hSJIKzmSUMtHV1cUNN9wAwA033MD//u//Wh2lYaO7O505wvdk8di3pjE6Ozu5/e5/QdvG2W+8ctF6++MLst1u19PZbk/DVmtrK//pWc7oN78z71AGZdlVl9Ha2pp3GJIkDWsmo5QJmwyr0SZNmjToyqXhNnOEamPfmgZp25hRb3tJ3lEM2vIrbs87BGnIWltbebCnmbFvOSrvUAbtuSt/RmvrZnmHISlD9Rxx4GgDrUlz3gGoHAZqMixJWejrW2NVlCRJUr66u7tXjDqQhsLKKGXCJsOSJEnSwGqpPFmfXntWn2goHHGgPJiMUiZsMiypFpaDS1L5dXd3s7zrCZb89uy8Qxm05V3/obtli1xjsOeYpJHAZJQyYZPh4uvq6uL000/nhBNO8PUbBkzWrGQDeklS0dVSeSJJI4HJKGXGJsPFNnPmTObNm5dr8/l6TS9fz6nlIf/p5YuYrLEcXJLKr7W1lQcefaIu2+599ikAmsdtmvm2rUySpPozGaXM9DUZVvF0dXXR0dFBkiR0dHQwZcqUXBIbnZ2d3H3X7bRtnu12WypTNTz+cPazb3U9mfkmAZM1kqTimzBhQt22PX/+QwDstuXW2W54yz3qGrckKWUyaogcSqMymDlzJr29vQD09vbmWh3Vtjm8+fVNufzb6+OqPyZ5hyBJ0rBUz6phb8RII1d3dzdPPPU4X//rj/IOZdAWPPUwW3T35B3GsNKcdwAjidNgariaM2cOPT3pwbGnp4c5c+bkHJEkSZIkqaysjBoih9KoDCZOnMi1115LT08PLS0tTJw4Me+QJEmSJGk1ra2tbPRMCyfs9+G8Qxm0r//1R4xu3STvMIYVK6MkMXnyZJqb08NBc3OzTeglSZIkSXVjMkoSbW1tHHTQQQAcdNBBhZqVTZIkSZJULA7Tk7SKpqbiNA+Xhisnt5A0WL1dj/DclT/LfLvJs08D0DRu40y329v1CGy5WabblCSNPCajJNHV1cUNN9wAwJ/+9Cc++MEPWh0lNUjfxBb+zUkjz4QJE+q27fnznwBgty23z3bDW25W17glSSODyShJzJw5k97eXgB6e3u56KKLOPbYY3OOSiouJ7eQNBhTp06t27Y9tkiShjN7Rklizpw59PT0ANDT08OcOXNyjkiSJEmSVFZWRmlEs69LauLEiVx77bX09PTQ0tLCxIkT8w5JkiRJklRSJqOkQSpzX5fJkyevSMo1NzczZcqUnCOSJEmSpIEtfOphvv7XH2W+3cVLlwCw2ZhNMt3uwqceZney3WbRmYzSWpW9csi+Lqm2tjba29u5+uqraW9vzy3h1t3dTdeTcNUfk1z+/fXR9SS0jO3OO4xh4bzzzqOzszPz7c6fPx9Y+TeYpQkTJtS1Z4s03JT9c11SPmo5ttT6uV60Y0tXVxenn346J5xwQilvYg8H9ZxE4an5jwGw5Q7bZbrd3dnEyR+qmIxSZspcOTQSTJ48mQULFlgVpfXW2dnJv+6+nY0yPgQsr3xS3f/Y7Zlu95lFmW5OKh0/1yXVQ2tra94h1NXMmTOZN29erhMC1esGIQyPm4RO/lAOJqMG4N39lawcGjna2tqYMWNGrjG0trbS89wDvPn1TbnGUYur/piU/qSqFhuNhxcdlncUg/Ovq/OOQGo8P9cl1UMtx5Yy6+rqoqOjgyRJ6OjoYMqUKbkk9Ds7O7n3znvZaeOdMt/2Jkk61GzpwqWZbnfh0wsz3Z6GP5NRA+js7OS+O+9ip82yPXBs2jQKgGUPPprpdhcu9va+VldLuTQ4HEOSJEkaipkzZ9Lb2wtAb29vrtVRO228E1/c9/O5/Nvr4/S5Z+QdghrMZNQa7LTZeL50YHveYQzKaTcOPuEgrYnDMerPqktJWj9J1xMsu+qybLf57LMANI0bl+12u56ALbfIdJuSimHOnDn09PQA0NPTw5w5c3JJRnV3d/PEkicKleBZuGQhW3R77BxJTEaNQF4Qjwy1lks7HKP+Ojs7ueuu29ks41F9Tc3p94ceyban0uIa+7J3d3fzTFdxhr890wXdGwxuJ8vee0EazurV8LXvb2+3rBNHW25hk1pphJo4cSLXXnstPT09tLS0MHHixLxDkoYtk1EjUDoM8V/stNnGmW5306a0JHXZgwsy3e7CxU9nuj0pT5u1wkHFKLrkBosuV+js7OT2u2+HLZqz3/gG6eyRtz8xL9vtPtGb7faknNQroepNGElZmzx58oo2Gc3NzblNDNTa2sq4JeMKN0xvTOuYvMNQA5mMGqF22mxjvnjgS/IOY1BOvzHbag8pL93d3TzZXZwkz5PdsOGYwZdHtba2svj5BwrVwLym5vNbNNP89myH89RT7+XP5h2CJEkjSltbG+3t7Vx99dW0t7fb/kJaC5NRkiRJkiRlYPLkySxYsCC3qiipKExGSVKDtLa28t+lDxRqmF5NlUOSJEkjXFtbGzNmzMg7DGnYMxk1gO7ubp5YvKgws9QtWLyILcaNzjuMYcEmw5IkSZKkkWD27Nkr+pSty/pcz7a3t9c0KVYtTEapVDo7O7n3ztvZfrOmzLe9UVPaZPjZB+/IdLsPLk4y3Z4kSZIkSf0NtxEPJqMG0NraykbPLuNLBxZjLM1pN3Ywepi9sfK0/WZNHHtAcWZiOOempXmHIGXmmUVpY/AsLftv+n30htlu95lFwFbZbrOouru7oetpll9RoAkjup6mu2XwDfYlSZLKZtKkSXWrXKo3k1GSpExMmDChLtvtKyneZavdst3wVvWLWWqkeg1Rd3j68FPP4Rj1HIohSVI1k1GSpEzU68Ky70Jq+vTpddm+0orgB3qeYtTbXpJ3KIO2/Irbh125eV46Ozu5/e67aGrLdgrxpGUUAHc8/mi22+1alOn2NDD/PqTs1JIIXrQoPcaNHz+4Y7KJYI1UJqNUKt3d3Ty+OCnU0Lf/LE7YcpxDTfp0PQlX/THbPlrPPpd+Hzc2080Cabxbbpv9diWpFk1t42l58xvyDmNQeq76fd4hFFaRh2NII0V3d3peP9hklDRSmYySCqTsswXWe5jXlttmPMyLNBHlUC9JkqTyqiURbEW3NDgmo1Qqra2tjHn2P4VrYD5ukKX0nZ2dxLtuZ+vNso9jTGUCwicfyraB8aOLB7/uSBjmtbgbbhhclfegPVdp8D024wbfi7thu22y3WZRdXd3wxO99F7+bN6hDN4TvXSPqqHqsl4NzJ9dln4fNzrb7XY9DVtmu0lJ+allGBTYE0tal4VPL+T0uWdkvt3Fy9KT+81GZ3tBsvDphezBHpluU8ObyagRqLu7mycWP83pNxZj1qQFi59mC4exrbD1ZjDltcX5073o+p68Qxg26l35td022VZ+bbeNVV8jRT1f5773525b7pzthrf0/SmNZPbEktasnp+PS+YvAWCrnbKdkngP9vBzfYQpzhVtgy1cvIjTbsy2fGHx0rR8YbMx2ZYvLFy8iN2337qm31nas5wFi5/ONI7lvWmfn1HNTZlud2nP8ky3V2Td3d089mSxEjyPPgnJhiYTYWRUfpVVa2srDyx/kOa3j8s7lEHrvfzZQV+s1XNWM9+f9dfd3U3StagwvZiSrkV0t2RcKafCsx+WlB0/11UEJqMGUK+M7FN9fWtqTByty+7bb11TzPvuu29d7iatuPu9W/Z9ecySS8pdvYbpPVtp2D8u20Q+T/TCFtluUpIklU8tw2QdIqusmIwaQNmrF8q+fw/WaTa9p5amF4ybjsn2gvHBxQl7bD+4dVtbW2n67wOFG6a3uaX0KriGDGPbIuNE/hYm8keK1tZW/tOzrFCz6TnESlLe6jUx0HCYFKieinb8th/d8FWcK1ppEOp54fVw5cC0zfbZXjDusb0XjFqdd6iGF8vdNdzVY5he8mzaXqBpXLbtBZKuRbBltlXiklSrzs5O7rnrPrbdfKdMt7th86YALHl4WabbffjJhZlurz+Hya5UtGRbkZmMUqnUesFYa6a8Fl7wq1H80JRGtnpPjrBb1omjLWtrLyBJ9bLt5jvx0deemHcYg/KD67+WdwiFZKJt+DIZJQ2SF/zDSz0rhyD/ZKIfnJIGq+zD7yVJUvmYjNKIVsQL/kcX12c2vaefS79vPDbb7T66GDbfLttt1spEoiRJkvrr7u7m8SefKEzF0cNPLqBnrDOTqDxMRkkFUs9hDV2V6qEdtsu2J9bm29Un7iImErVS2XtilXn/bAQqSZKkoTIZJRWITZQ1EpW9ss39kySp8VpbW3n8ka7Mt7vkucUAbDJ2s4y33ORnqkrFZNQQlfnutyTVS9kr28q8f2XeNxWf52WSBqteIw4em/8UANttu2Wm291k292d/EGlYjKqgYqYyfakTpIklVERz8skZcfJH6R8mYwaIu8Qr+RJnSRJypPnZZIkFYPJKK2VJ3XFZZNhSZIkSdJwVPhkVAjhrcDXgD2BhcDpMcaf5BuVVDxWtklS+Tn8XpJq57FTyl6hk1EhhP2Ay4DTgFnAIcAPQwiLYoyX5xmblDer2iRJQ+FNCkmqncdOaXCakiTJO4b1FkKYBWwdY3xdv2U/BybEGA9Y1+/PnTt3F+Dfe++9N2PGjKlfoJIkSZIkSSPE0qVLmTdvHsCu++677/3Vzzc3PKJs7Q9U10teC/xPCGGDHOKRJEmSJEnSWhR6mB6wDfBo1bJHgA2ALYCHB7ORSrZOkiRJkiRJdVb0ZFQmHKYnSZIkSZKUjX7D9AZU9GF6jwBbVy3bGugBnmh8OJIkSZIkSVqboiejbgaqpwt7I/C3GOPzOcQjSZIkSZKktSj6ML2zgJtCCCcDvwReD0wG3p1rVJIkSZIkSRpQoSujYox/Bd4FHA7cARwHfDTGeHmecQ3GW9/6VsaPH8/o0aPZYYcd+MxnPkNPTw8A119/PU1NTat87b333jlHPDjd3d289a1vZfvtt2fs2LHstttunHPOOSueX7hwIQcffDAbb7wxTU1NHHPMMfkFu54+/elPs+OOO654bfqbO3cur3rVqxg7dixNTU2ccsop+QS5ntb1+t1666288IUvZKONNmKjjTbi5S9/OVdccUWOEdduba9fkiSccsopbLvttowdO5aDDz64cBMcrG3/LrzwwtWOLW9+85tzirR2aztuApx33nnssssujBkzhn322Ycbbrghx2hrt7bXbtGiRRx99NFstdVWbLLJJrz3ve9l0aJFOUW6fta2f31uueUWNthgA5qamjjttNMaHOHQjOT9K/Ox5corr2S//fajtbWVTTbZhIMPPphbb70154gHb6R/rj/88MO8853vZIsttmDs2LGEEDjvvPNyinRwhvK3Nm/ePA466CDGjh3Ltttuy6mnnkqSJI3ehbVa3/Podb2Xh7N3vOMdNDU10dKysg7k6aef5gMf+ABbb701Y8aMYZdddhmWr1ctfvOb3/DiF7+YDTfckD333JNf/epXeYc0JGU/79xll11WO57ccsstALz2ta9d7bmmpiauv/76TGModDIKIMZ4RYxx7xjj6BjjbjHGH+cd02C86EUv4hvf+Abnnnsum2yyCWeffTa/+MUvVlnnYx/7GBdffDEXX3wxM2bMyCnS2ixevJh77rmHT3ziE0yfPp0nn3yS//u//+OPf/wjkDYx22677XjTm96Uc6Trb/ny5Rx99NE0N6/+5/Pss8/yghe8gIMPPjiHyIZuXa/fqFGjOPzwwzn33HP5whe+wB133MERRxzB0qVLc4588Nb2+l1wwQWceuqpvOIVr+CMM87glltu4W1ve9sqHzzD3dr2r89JJ5204tjy+c9/voHRDc3ajptz5szh4x//ONtvvz1nn302Dz30EG9961vp7u7OOerBW9tr97GPfYyf/exnHHnkkRx//PH88pe/5BOf+EQOUa6/db03n3vuOY466qjCTigy0vcPynls+cc//sEOO+zA6aefzpQpU7jhhht4+9vfnm/ANRjpn+snnHACv/nNb3jta1/LN7/5TR577DE+/vGPM3/+/BwiHZz1/Vvr6enhbW97G7feeitnnHEG++67L6eccgoXXHBBo0IflPU9j17Xe3m4uvDCC5k9e/Zqy7/1rW9x4YUX8qIXvYizzjprxQ3ROXPm5BDl0N1+++0cfvjhPPPMM3z3u99l44035sgjj+TOO+/MO7T1VvbzToC99tprxbHk4osvZrfddgPg5JNPXrHshz/8IU1NTWy44Ya8+MUvzjaAJElG7Nctt9yyyy233JI899xzSS3+/e9/J0Cyzz77JEceeWSy2WabJS94wQuSuXPnrlgHSEaNGrXW7SxatCjp7OxM3vjGNyZA8tOf/jRJkiS57rrrEiA5//zzk6effrqm2IZqqPv2/PPPJ8uXL1/x82c+85kESM4888xV1vv5z3+eAMnRRx9dl/1Yk6xeuyRJklGjRiXpn9DqvvrVryZA8uUvfzmr0AelEa/fsmXLksceeyy56aabknHjxiXjxo1L/vvf/9Zvp/qp9+u37777JkBy//33J0mSJO9///sTILnqqquy3ZE1qPf+XXDBBQmQdHR0JM8++2zm8a9NvY+b73rXuxIguf7665MkSZKTTjopAZLvfve79dupfur92m266aYJkDz//PNJkiTJ1ltvnTQ1NSXd3d2Z7seaNOLY+alPfSrZfffdk+OPPz4Bkq9+9auZ7sPauH8eW9Z0bKk+R2xtbU2AZNGiRdnvzAD8XB/ae/Poo49OgORrX/ta8q9//SvZZZddkrFjxyYPP/xw5vuSJPn+rV155ZUJkBxzzDFJkiTJ/PnzEyB5xStekcGepfI8jx7sNUZWstjXBQsWJJtuumny/e9/f7V1v/zlLydA8vGPfzyJMSb77bdf0tTUtMr2G2mo+3vmmWcmQHLiiScmSZIk5513XgIkn/nMZxoSfzXPO9e9fzvvvHNy8MEHJ0899VTS29u7xvXOPvvsBEg++tGP1hznc889l9xyyy3JLbfcsksyQD6m8JVRebr11lvZcccdOeKII7j77rs54YQTavr9F7/4xUyYMIFrr72WY445hsmTJ6/y/Ic//GE23nhjdthhB376059mGfo6re++tbS0rLjT8dxzz/GHP/yB5uZmDjrooHqGW7OhvnbDXT1fvz/96U9stdVWHHDAATQ1NTFz5kzGjh1bl/1Yk3q9fvfddx8AO+ywAwA777wzAPfee28m2x+ser8/3/CGNzBu3Dj23HNPrrnmmky3vS71Om72vXY77rgjUL7Xbuut04ljr7nmGm6++Wa6urpIkoTOzs5Mtj9Y9dq/6667jnPPPZef//znbLTRRplsc324f0NTxmNL/0q2m266ie7ubl760pfS2tqaafzr4uf6+vnGN77Bfvvtx4knnsiLXvQiHnnkEWbNmsU222yTyfbXJI+/terPwZ122gmoz+dgHufReV1jrO++JknCMcccw4EHHshHP/rR1Z4/7rjjOOywwzj33HMJIfD3v/+d733ve+yzzz5Z70JN1nd/+85Tbr75ZhYsWMCf/vQnYOX7Mi+ed67dDTfcwKabbsq4ceM46qijePbZZ1d5vre3l+985zs0NTXxmc98JsvQUwNlqEbK11Aro174whcmSZIknZ2dCZDstttuK9Z5/vnnk56enrVu58Ybb0wuueSS5IADDkhaWlqSyy67LEmSJLnzzjuTr3/968lvf/vb5Nxzz0022WSTpLm5ObnrrrtqinN9ZLVvTz/99IoM8re//e3Vns+7Mmqo+5ckw7syqp6vX1dXV/L73/8++e53v5tsuummye67797w6ox6vX6bbbZZAqz4/RNPPDEBkrPOOiu7nViLeu/fjTfemJx55pnJlVdemZxxxhlJS0tLMm7cuIa8fvU+br70pS9NgOS+++5LkiRJfvSjHyVA8qlPfao+O1Sl3q/dNddcs6I6qqmpKdlkk00SILnzzjuz3ZE1qPf+7bTTTskxxxyT3Hvvvcmxxx674m7qY489lu2OrIH757FlTceWPn/5y1+Stra2ZJtttklijNnvyBr4uT6092ZftcZHP/rR5JJLLkm22WabpLW1NXnwwQez3ZGKPP/WzjrrrARIvvSlL634d4Bks802K8z+9VnbefS6rjGyMtR9/clPfpKMGzcuufHGG5N77713RZXKvffem/T09CSXXHJJMmrUqOQd73hHcvnllyd77bVXMnbs2OQf//hH3fZpbYa6v88//3xy6KGHJkACrDhnOfzwwxsSfzXPO9e9f6eeempy8cUXJ5dddllywAEHJEBywgknrLLOZZddlgDJm9/85vWKc12VUUWfTS9XW265JQAbbLABwCp9ZXp6emhqamLUqFFr/P3XvOY1AIwbN47DDjuMn/zkJ7zjHe9gr732Yq+99lqx3nXXXccll1zCnXfeyQte8IJ67MpqhrJvXV1dHHbYYfz973/nBz/4AR/5yEfqH3CNhvraDXf1fP3Gjx9Pe3s77e3t/OlPf+KSSy7hj3/8I+9617vqtDerq9frt/vuuzN37lweeOABdtllFxYuXLhieSPVa/9e85rXrDjuvPnNb+bXv/41f//73+ns7GzYnbh6HTd33313brvtNh544AF222230r12hx56KA888AB33nknW265JYceeijLly9nwoQJ2QQ+SPXav4ULF3LhhRdy4YUXrlh21lln8dRTT3H++ecPLegauH8eW6qPLQC///3vede73sVWW21FR0dHw48r4Of6+r43f/zjtJXscccdxx577MFvfvMbZs6cyU033cR73vOeDCIfWB5/a33vywceeACgrp+DeZ1H53GNsb77umDBAp599lkOPPDAFcuWL1/OHnvswQMPPMCFF17I8uXLmTp1KpMmTeJvf/sbX//615k9ezYve9nL6rtTa7G++9vS0sI111xDjJHu7m7uuOMOPvKRj2TfY6hGnneuef9OPvnkFY/HjBnDYYcdxh133LHKOmeddRYAn/3sZzONu4/JqDrZcMMNGTVq1ICNj2+++Wa+853vcPDBBzNq1KgVs3q85CUvAeDUU0/lscceY5999uGRRx7hqquuYuzYsbmXbfZZ2749/fTTHHjggdx1110cfvjhbLrppsyaNYtdd92V/fbbj6effppZs2bxl7/8BUhLGc8//3wOPvhg9thjj0bvyoDWtn8AV199NQ8//DBJkgBw/vnns+2223LYYYfx8MMPc/XVVzN37lwgLZ08//zzOeyww9h2220btg9rM5TX74QTTqC3t5cXvOAF/Oc//+Gqq65i1KhRvOhFL8phTwY2lNdv6tSpfOhDH+LYY4/lkEMO4dJLL2XXXXflDW94QyN3Ya2Gun8bb7wxL3zhC4kxMnfuXNra2gghNHIX1mgox82pU6dy6aWXcuKJJ/K+972PH/7wh2y66aarDX/O01Beu9/85jfcd999bLHFFnz961/n3nvv5dRTTx1WzbCHsn+XXHLJivV+9atfcckll/De976XqVOnNiT2wXD/Ruax5Xe/+x1ve9vbaG5u5thjj+WWW27hlltuYeLEiWy11VYN3Y818XN9ze/NPfbYg3/961+cdNJJvPa1r+V3v/sdzc3Nue5fvf7WXvziF7Prrrvy61//mn322YeOjg6Ahh9n6nUevckmm6z1vZyHte3r4Ycfvsps6O95z3tobm7ml7/8JW1tbSuue8444wwWLlzIzJkzAXJP3qzNul7bY489ln322YdHH32U6dOn09bWNqwnWxnJ55233347n/vc5zj00EPZaKON+N73vgfAAQccsGKduXPncuONN/Lyl7+c173udfUJcqByqZHyNdRhegcffHCSJEnywAMPJECy8847r1iHtTQMu/POO5N999032XjjjZMxY8YkEyZMSD73uc8lS5cuTZIkSX7961+veH7jjTdOXv3qVyezZ8+uKcb1NdR96/v96q++4Xhrev6CCy6o745Vxbe++5ckSXLwwQevFn/f9vqaz1d/XXfddfXbqX7q/fqdffbZyS677JKMHj062XzzzZNXv/rVyeWXX17nvVo9vnq9fsuXL09OOumkZOutt05Gjx6dvOY1r0luu+22Ou7Rquq9f+eee26y9957J+PGjUs233zz5JBDDkluueWWOu7RSvU+biZJkpxzzjnJTjvtlGywwQbJy172sob93SVJ/V+7WbNmJdttt13S0tKS7Ljjjsmpp566SiPXeqv3/vXX19Q1jwbf7p/HlupjS9/r5ed6fdT7vfnAAw8k73jHO5ItttgiGTt2bPLCF74w+dnPflbY/VnX39ptt92WHHDAAcno0aOTrbfeOjnppJPW2ph4uO3f2s6j1/VezloW+9pf9bpPPvlkcvTRRydbb711MmbMmGS33XZLZsyYkeUu1CSL/d1///2TcePGJRtuuGHy+te/PvnnP/9Z56jXzPPOte/fQw89lLzlLW9Jttpqq2T06NHJrrvumpx88smrDOubMmVKAgzpmLmuYXpNaZwj09y5c3cD7ttzzz0ZPXp03uFIkiRJkiQV3rJly7jnnnsAdt93333nVz8/0ofpbQv0/QdJkiRJkiQpO9sCJqOq/B04EHgYWJ5zLJIkSZIkSWUwijQR9feBnhzRw/QkSZIkSZLUWM15ByBJkiRJkqSRw2SUJEmSJEmSGsZklCRJkiRJkhrGZJQkSZIkSZIaxmSUJEmSJEmSGsZklCRJkiRJkhrGZJQkSZIkSZIaxmSUJEmSJEmSGqYl7wAkKUshhA2Au4G3xBjvzDseaV1CCJsAE4F7Yox35R3PUIUQdgIeiDEmVcubgB1jjAvziWxoKseW/wIvjzHekXc8kiRJRWYySlKpxBifDyGMA5bnHUuWQgjPAjvHGB8PIfwXSNa0boxxXOMiy0YIYavBrhtjfKyesdRbCOFXwJ9jjN8JIYwB/g7sAfSGEA6PMf4m3wiH7N/AtkD16zS+8tyohkeUgcqx5UHW8rcnNVoI4ZXA3Bjj8srjNYox/q1BYWWm7PvXXwjhRcDHgN2BD8YYHw4hvB1YEGP8R67BDVHfzQjgsRjjc3nHUw8hhIOAu6vPUSo3Ml4dY7whn8iGrnKT6dEY49Kq5c3ADkW8yRRCuGaw68YY31TPWOppuN9IMxlVByPlzQ0QQjgaeCLGeHXl59NJP0jvBI4s6MHpqMGuG2P8WT1j0Xq7APgE8H95B5KhqcBT/R6X7YL4Eda9T02VdQqZzOjnQOD0yuO3A2OANuCDwIlA0ZNRTWtYPg5YuobniuJs4OQQwvurT8rLIoRwMnBDjPH6quUbAcfFGL+SS2AZqJyUfxG4IMb4QN7xZOQvwDakyd+/kB4jB/obLOqxs+z7B0AI4fXA1cAfSCtlN6w8tTtwFPDOnELLShNwH7A3cE/OsdTL9cDDIYQ3VyUPxwPXUeD3J3A/8K8QwmFV13ZbUtybTI/mHUAjDPcbaSaj6mNEvLkrvgh8EiCE8D/AZ4DPA28CvgW8J7/Q1tsPqn5uIT3I9v0RN5FW3TwPlCIZFULYEdiaqj5yBb7L2Aa8t3JydwvwTP8nY4wfzyWqIYgx/rTf4wtzDKVeXpd3AA3UCjxeedwOXBpjfDKEcClwan5hDU0liQHpsfL4EMLT/Z4eBRwAzGt4YNlqJ92PB0MI/2L1Y0uhbzBVnAL0hBCOjTH2/zzcGPgyUNhkVOWk/HPAT9e5cnHsysrjya55BlInZd+/PqcBX4gxnh1CWNJv+fXAp3OJKEMxxt4Qwr+BTfOOpc46gBtCCFNijL/tt3xNN2mK5GHgryGEt8YY/95veSH3Lcb4gbxjaKCzGaY30kxG1cEIe3PvCNxbefx24Dcxxm+HEK4jvbtTODHGvrtRhBDagW8AxwE3VxbvD0wnrWAotBDCy4CLgT1Z/cOkyHcZ9wRurTzeqeq5YXlnYKSLMf4p7xga6GFg7xDCw6TJjY9Ulm9CmuQuqiMr35tIPw/6D5VdRnr39PgGx5S1R4BL8w6iAT4BnBlC2DPGeFzewWTsJmA/YEHegWQhxrhgoMdlUfb962dvYPIAy58AtmhwLPVyKnBGJVHzSN7B1EFCekP+JuCXIYQTY4xn9nuuyBLg/aQjDq4PIRwVY7y033Ma3obtjTSTURqq50gvoCAtKz6/8ngJsFEuEWXrTGBqjPHGfsuuCyF8Fvg+8MJ8wsrMD4CFwP8CD1GSD5QYY+mqbOwZtVLRe0YBPwF+Sfo3txz4Y2X5K0mb7xdSjHEvgMrNiHfGGLtzDilzI+hm0xWkvcx+G0KYwMpEYxlcCEwPIexCuo/VJ+VFrQgupRHUM2oJK4c89bc36Q2MMjiJ9Cb2AyGEh1j9b6/o59RNADHG80MIncAlIYQ9ga/mG1YmmoAkxnhiCOFu4OchhD1I22IU0khqq8MwvpFmMqoORtib+wbgWyGEPwP7AH37vifwn9yiys5uQNcAy7soR7n43sA+McaYdyD1EEJoI+238M/hVpa6HuwZVZKeUTHGr4YQ7iSt2rskxris39PTcworM/2TwZU+Q8QYn1nzbxRPCGFf0mPLVTHGZyr7uTTG2JNzaJmJMf4zhLAf8Fvgz8CHcw4pKxdVvn9jgOcKf3wpoRHRM4q0V+BXQwh9vaGSysX+GcCv8gsrU7PyDqBRYoxzQgj7A1cCL887ngysOD+LMf68MuTyMuBV+YU0ZCOmrc5wvpFmMqo+RsybGzgWOA94N2kFUd/dm8Mo6DC9KrcBX6uMsX0aIISwMenY/ttzjSwb95D2rymVymt0PnA46QfoHkBnCOEHwEMxxsL15bFnVLn0K2/vv+wnecRSDyGEj5H2FNyh8vMDwOlVPYgKJ4SwJWnV0Kvod2wBzgKepQS9XfqrzOZ1EPBzyvGZDuW4kTSSjJSeUZ8nbWD+KGnz8r+QDs+7jrRXW+EV8dyrRgvoNzw9xhhDCK8iTdoUsq9SP6vEH2P8c2XfrsopniEbzgmaehmON9KakqRsN9el7IQQ9iE9OdgQ+Fdl8YtIhye+KcZ465p+twhCCK8hLR/+ZIzxX+tavyhCCOeQDnn6JOmJ3EtijJ0hhLcAX40xvizP+DTyhBAOH+SqSYzxkroGU2eVBtFfBr4N9PUCey1pr4kvxxhn5BTakIUQfk46QcLRpEmol1aOLZOAb5dgmAkhhAuA/4sxLqlafgpwcBmHQUvDRQjhdcC+pBPKzI0x/nEdv1IoIYQxwJtJL4h/UJm8YzegO8a4KN/oVKsQwlhg67L0cyvZiIoVBrqRVjl3+SHwbIzx03nFZmVUg5T1zV12McZbK/0y3gfsVVl8ATAzxvhsfpFlZjawAXB7CKGHVRsOF7L3UMVbgSNijH8PIfTPuN8FTMgpJtWg0kPq/aTHzZNijE+EEA4grWyr7qlRBIMdnpAAhU5GkQ4j/URVBd/vQwj3ACcDhU1GAYcAb6z0buu//D5WnyyhkNZ0tzjGeEqDQ6mbEMIbSG9W7Aa8Icb4QAjhw0BnGS7+QwgtwC6VH+8v0/DRsosxXkd6E610KufTfyCtyN+E9LPuSeDjlZ8/ssZfHqZGWL/L1cQYn6MEk0FURlT8CDiCkoyoqHIm6d/a1qQ30vpcQnrjMDcmo+qsjG/udTVP7q/AyYwVYoz/JX0Ny+hjeQdQJ1sy8HDZDSl+qXTphRBeTtrU+yHS/nPTSWcUmkR6DJ2SX3TrJ8bYnHcMDbQdaY+hajcC2zY4lqxtQlXT3YpWCjwT4gir3DuCdBKBC0iTixtUnhoFTGPlhAKFE0LYgEq1M+nnHcB/QwjfI03qL1vjL6vhKlWkgxJj/GY9Y2mQs0l7zX4I6D/BxW9ZOQFS0ZS23+UIu947nfRm9X6smgy+ivSYWrjr9SrD9kaayaj6K+Obu4zNk9eozHdQ+/chKpnbSQ+81UnEKaSzJ2l4+xbwwxjjF0II/YcK/R44Jp+QVIN/kw7DOLtq+ZtZfaaoovkLaY/EvubXfZ+FnyRNthXVSKrc+wLwsUoT3qP7Lf8LcEo+IWXmO8C7SJNqN1WWHUC6X5uSnr9p+Bjs65EAZUhG7Q+8JsbYU3VBvADYPp+QhqzMw5ZH0vVe2UdUDNsbaSaj6q90b+6SNk8eUJnvoPYp4XAoSE+8fx1C2IH0tToyhLAX8B7S6hoNb/swcLn+Q6QlxoVTqTy5PMa4bF1VKDHGos+cNB34fqXCra9C6kDgvcBHc4sqGycAf6wcT1qAz4UQ9gZeCrwm18iGYIRV7gXS6oxqi4HNGxtK5o4E3hdj7N9U+PYQwn9Im9CbjBpGYoxlbsg+kBYGrk7floEvlIe9GOOf1r1WMY2k6z3KP6Ji2N5IMxlVf2V/c5ddme+glnI4FECM8doQwtuBLwG9wInAXODQGONAFyGFE0J4I/BZoK9h8l3AmTHG3+UXVWZ6gI0GWL4bUNQGp7NYOT352qpQEgo+jXeM8cchhMdJE/Zvriy+E3hn1UVy4cQY/xZCeDVwPDAfOJj02PLRGOOduQanwXqMtJ9SdZ+T/QZYVjQ9wL0DLL+Hqp6QRWZPrMK6Hvgw6bkLQFJ5LU8g7WFaGiGEbYDR/ZfFGBfmFI7WrewjKobtjTSTUfVXujd3COFZYOfKuNO1jicuwRjiMt9BhRIPh4ox/oHyTEW+ihDCJ0gbDl7KytL9A4ArQgifjTF+N7fgsnEtMC2E8P7Kz0kIoRX4CnBlfmGtv/6VJ2WuQqn0rPkicEGM8cC846mHGOM8Cn58XJfKBeL/ADuz+gXVz3IJKju/AL5VqVBMgDEhhENIj6Xn5hrZ0P0E+BRpQ+j+Pkla4V1oZe+JVfmceyMD/919JZegsvU54MbK9PJjSM9jXgSMJR3CV2ghhE1J9+m9VL1+FYXqGdVfCGE06Wf7ZNL35wb9n48xFnbfKk6hxCMqhvONNJNR9XcK5XtzTwWe6ve4zOOJy3wHFUo4HKq/EML+rKwcujPGeHOe8WToC8DxMcaz+y37TgjhU5Xnip6MOp60x9580pPUS0mHNf+H9O6OhqkY4/OVpryl7EcXQlgObFs9K1JlxtzHSnBCTghhD+Bq0kpESD/jm0kra54Hip6MOoW0Yeu9pBXq8yrLf0rx+/JsBhwRQpgE/LWy7JXAVsCsEMKKZFuMsTphVQSl7YkVQvgf4Hek1dzjSRtjbwM8S/rZV/hkVIzxnhDCS0hfpyWk16EzgXNKMtPcGaRJ/PcAvyStAtuRNHn62bX8XhF8GTiKdB+nkyamdiUd+nVSjnFlYiSMqBiuN9JMRtVZGd/c/Ztej4DxxGW+gwrlHA5FCGFH0qFO+5FOZQqweQjhb8B7YowP5BVbRsaTToJQ7Wrg6w2OJXMxxkcqQ0iPBPYlvRD+HnBRZRrhwgshvIi0gqH/MMtvV04Wiu4m4FWUI2FfbU3D60dT4Nn0qpxFmqB5BfAg6U2L8aRJ7uNzjCsTlSFdR4UQTiHdt2bg1hjjfbkGlo09gX9UHvc1hH6w8tW/Y3RRbyKWuSfWdODXrLzhexDwHOmw7u/kGFemYoyPUoI2F2twGHBUjPH6EEIv8LcY48wQwsPAByj25A/vJW1bcnUI4XTg0hjj/BDC3aTv1e/nG97QlXlERZ/K9dHWpJ97K8QY/5ZPRCajGmKEvLnLWoFyCuW9gwolHA5V8SPS49uLYox3AVQqEi+sPPfG/ELLxO9Jh/9WXzwdQkmONZWk0wWUYGhJtRDCu0kvMOay8u7+/sA/QghHxhh/nVtw2bgQ+GYIYWfS4eirNKbN86RnfYUQjqo8TIDDQwhP9Xt6FOmMSmVIZkCaxD8kxvhUZeKV5hjjX0MIXyBNVO2Tb3jZiDF2Ap15x5GlGGOZZ/aCcvfEehkwNcaYVBIZo2OMnSGEz5MOvyz65wIAIYSNSI8hA10QF7pfItDGymPKU6xs53Ej6Q21ItsWuKPy+BnSSkRIrxWKODP8gEIITaSvY/V7s9CVeyGElwEXk96wqL6plpDjEFKTUQ1S4jd3aStQKq/ZdqSzP32ZlRUaZbmDCuUdDnUwcGBfIgogxnhXCOGTQBlmPpkDfDWE8ArSZvqQVqK8DTil/2xtRT25CyHsRPo6DnTCWvRE8DeAb8YYV/kbCyF8rfJc0S86Lqp8/8YAz+V60jMEP6h8byKtYOhvGfBv4NONDKiONmDlUPwnSP8GI+lF1gvyCipLIYQjSZP3Ax1f3pRLUBmo9BP8eYzxqXWuXExl7onVNwwW0hYROwB3k/4N7pxXUFkKIbyedPja+AGeLvzkHaTVwDsAC0lvThwG3EJaOfR0jnFl4SHS4b4LgftJm17/g7QQofATCFRunv0QeC2r5keaKO55S38/IH3t/pf0tRw21bEmo+psBLy5y1yB0kT6YbJ3jPEe0ouNUinxcKiHGfjDcTnpSV7R9ZXsf7Dy1d85/R4X8uSucqF4Ielr+DirfmgmFL8qcTsGvnC6EPhMY0Opi9JNVx5j3BAghPBv4H9ijE/kHFI93U16gfFv4J/Ax0MID5ImAQp7g6lPCOEM0v4t1zHMTsoz8EXSqsRLSScn+XPeAWWszD2xbietjrqP9CbTFyuViR8hTQaXwdmk7QS+GGN8KOdY6uEy0uu9m0kbmf8qhPAh0t5fRW+hMIf0huctwI+Bcyo3Pl9G2tKk6H4CtJIOpyzb5wLA3sA+McZhdywxGVV/ZX9zl7YCJcbYW7nw2HSdKxdUCOFDMcbzGWA4VAjh3AKezPU5GTg7hHBU31S6lUqbGZSj0WJpZ2Or+CrpcKATY4xFH3oxkL8AL2f14SYvBwo3hK1ajLGMvaL6fJm08e4qKjMNvbcEM81BehG1ReXxV0iHBd8DLAXel1dQGToamFLUqtF12Al4M+nd7+tCCPcB5wM/LUkCtcw9sb4GbFx5fBJp0mY26Q2Zd+cVVMZ2A95e0kQUMcYv9Xt8WQjhANIG+zHGeHV+kQ1djPEjlREjxBh/FEJ4EjiQtOXAD9b2uwXxSuCAGOPteQdSJ/eQ5iOGnaYkKeLxujhCCEso8Zs7hNAJvDPG+M+q5fsAl8UYd8kjrqyEECaTntRNiTE+knc8WQshLCZtBnpl1fJzgHfFGLfLJ7LahRDuYtUT0J1Ihx72vW7bkDYDXRhjfCEFFkJ4UYzxX3nHUS8hhGeAF1d6upROpfLrm6QncP2HWX4E+DzpsFmgmP2VymwkzKZXLYSwIbAXsCDG2JV3PEMVQlhEWt02f50rF1gIYVvSG6EfIJ3R6wrgR5U+piqAEMJ4oDvGWIqLtRDCjcApMcY/5h2L1F+lEfsRMcbb8o6lHkIIryG90fvJ4Xb9YGVU/T3ImmffKYNSV6CQ7sOOwAMhhIdYvRFvoZMawGRgZgjh0L6m8yGEs4DDSUuNi2RW3gE00B0hhL+QDoX9ZYzx2bwDyth1wEspWXPhfvp6Kg00VfdF/R6XYSh32fQNsa+2NQNUTJVBjPG/wK15x5GhXwBvB76Vcxx1FWN8uDJcrw34BDAReFsIYT5wTIzx77kGuB5GQE+sVcQYCzur8Rp8GZgeQjgZuI20394KRe+jCytuTOzPwP3ofphLUBkJIbSQ3pgYaN86cgkqO18Evh5CmBJjfDLvYOpgNmk/yNtDCD1UTfgQYxyXS1SYjGqEsr+5TyRN1nSGEKorULYJIXyxb8WCJm5KneCoTNH6aeC3IYSDSe+gTgEm9h96WQQxxtLM5jEIewMfAs4gTQZfTHrHe26+Ya2/EMIr+/14AWnfk+0Y+IS16NVCpeupVHYhhDmVhwnwmxBC//fkKNLG3jc0PLA6CSEcypobfE/OJajsPA6cEEJ4NWlPrOrjS6F70lUq2Q4n/Yx4NWnLhKNJ+9lsDpxOmvTeM6cQh6LsPbHKrq8q70pWTeqXoo9uCOGdwM+AccCzrN7vsrDJqEplzUzS4bHDaja29TXAiIodgUdDCA+w+udCEa9h+/tY3gGsicmoOhhhb+6yJ2tKn+CIMV5QKef/C2kScWKMcV7OYWWmcien+mJq2RpWL4QY453AZytTPr+DdCjpX0MId5Ce7FxUwDvHfyE9bvY/yTlngPUKedLTX8l7KpVVX9PP15I2GP5vv+eWAb+h+LN5ARBCOI30ov8fpMOcSzFEqJ8Pks4WuG/lq79CT5AQQvg+cATp5A8XAh+MMfbvTfd4COFLpD1Mi6jsPbHK7nV5B1BnM0gr1k+KMRZ99rxqPyBtzH4a5flcKPU1bH8xxp/mHcOa2DOqDkIIXx7suiMh2aHhJYTwuTU89Ungz6R3ioHi3iGuJNfOJr2zv3n182Xr6xJCaAamkg47GU16R+6nwJdijN15xjZYlZlHB8VkzvBWGYJxQ4zx+qrlGwHHxRgHGp5YCJXP9xkxxmfWuXJBhRAeAz4TY7xonStrWAkhXE960Xjpmm66VG7QHBBjLPQkM/bE0nATQngKeFkZ+12GEJ4GXlr2XntlFkLYCng/sDtpwvSJSpP9h2KMuc0Yb2VUHZhgKo/KDElfJO2ttDPpeNsVCprUmLqG5ctJS/pfXfm5yHeIfw5sS9qfoCx3cFYTQtiF9A7xMcAmpJUZPwJ2IO3ndgVwUE7h1cQEU6mcAvSEEI6NMfafZWdj0r/Jwiaj+j7fQwi7An2VzXfmeSJXB72UYFbHEepk4OYYY0//hZUE1P4xxhsqzxU6EQXl7IlVdpXJjZ6PMd5R+fktpJWKdwKnFr1qHfgt6QxzpUtGkR4z9qbfBCsqjhDCy4E/klbF7glMB54AJgF7kLZoyYXJKA1JSZM1/X0ZOIq0N8900n3dlXSa3UI2aI8xjoR+Na8CXt13wlM2IYQjSPuBvI50KM2pwMX9qjVurQzZuyenEKVPAGeGEPaMMR6XdzBZCSFsTDos6PB+i5MQwq+AD5dkaMa5pEnuL+QdSL1UZrRcU0+sN+USVDauI70RU90IerPKc0U/Jyt1T6wQwotIe7vsTjrE8uEQwttJZ7L8R67BZeP7pOfSd1SqoX8FXEt6ITwWKPpnxceBiysX/ncAz/d/Msb4s1yiysaHgQsrN2IG2rfS9EwsqW+R9tn7Qgih/2Qrvye9oZ0bk1F1ZrKm8N4LfKzS6Pt00tL3+ZUpQA8i/WDV8HMPsGHeQdTRj4CLgc/HGNc0y9UjpGP7pTxcAfyddHKECcCROceTlbOA/wHeyMqG5QeTJnC+BXw0p7iy9FXg6hDCbcDtrH7R8cFcospICOEM4LOkyZmHKFfl7Jpme9yMdPh2oZW5J1YI4fXA1aRNviey8hxmd9Lz7HfmFFqW9iS9gQbpdcL/izG+ozKBzs8ofjJqEulNwkNJewlWNzAvcjJqd9LKqEMGeK7wvTxHgH2Ajwyw/CHSmzK5MRlVfyZrim1b0jsAAM8Am1YeX0lajVJoIYSfkA4xmVG1/Dhgrxjjh/KJbMg+DXwjhPBZ4I4Y4/J1rF80262rAqMyHXvh36NlVOaeSv3FGP8ZQtiPdOjCn0nvrBbd24EjYoxz+i37fQjhI6TNUMuQjPoKabLtdmBLypWsgbSKZkqM8Vd5B5KVymc5pK/Vd0II/RvsjyJt1H5LwwPL3gtIq0/W2BOLdOhJERtlnwZ8IcZ4dlXlwvWk5zRlMIqVU8q/Drim8rgT2CqXiLL1LdLK2ZNLOIN6GRuYjyQ9wEYDLN8NWNTgWFZhMqr+TNYU20OkH5ALgfuB15De1Xkh6R920R0KfHeA5XNI7xwX1b2kx7e5ACGEVZ4sQUXi4hDCtjHGVYZihBDagMdKsH9ldwol7alUrTLM5CDSPm5laCy8MQNXXTzEwCd6RfRJ0p47Rb6LvzajqXw2lMi2le9NpOcs/RM1y0j/9s5qdFB1UOaeWHuTjqKo9gSwRYNjqZc7gI+FEK4CXs/KocA7kO5n0W0BnF3CRBSkM1m+JcZ4X96B1EMIYSfg0Rjj0qrlzcAOMcaF+USWmWuBaSGE91d+TkIIraTnm1fmF5bJqEYwWVNsc4C3kd5R/DFwTgjhcOBlwC9yjCsrrcDiAZY/RdoUtKhmkr4vj6Ocd3Ca1rB8NFVDaopohFQOlbKnUsVPgRWVGZUqvXeHEE4hHdJWZHNJT+g+HGPshRUnq8dTngTH86R3wMvqF6QVbt/KOY7MxBgPBQghXAB8Ksb4VM4h1UuZe2ItIa1ErJ4MYW/g4caHUxdfAC4nPV7+NMY4r7L8LaTDuovuGtI+ZmVsYH4TaWViKZNRpNew/wohHFaVeOr7myzysQXSv7nrSBvQjwUuBSYA/wFOyDEuk1ENYLKmwGKMHwkhNFUe/yiE8CTpTBmzSEtWi66TtFS6enaM1wNFnt1sP9K7pP/MO5AshRCOqjxMgMMr0wj3GUX6WpbhROEUyl85VNaeSsQYP7CG5ac0OJR6+DzpHcbXhRD+X2XZq0nviL8ht6iy9SPgA8CJeQeSlRDC5/r9+BhwQgjh1cA/WbWKiBhjUWeRXePfXomUuSfWb4CvhhD6ekMlIYQ9SNt8lGJIaYzxhhDClsCmMcbufk/9mPSGfdFdD3wzhPASBu63V+TX8cekN9B2ZOB9K8MMrA8Dfw0hvLVqNs413QAujBjjI5XG+keSDttuBr4HXBRjfC7P2ExG1Z/JmoIKIWxA2uPrAuABgBjjJcAlecaVse8DM0IIY1g5hGYS6ZjwIl/wz6ecx7f+f1PTq55bRnr35tMNi6a+ylw5BJSrp1Llc20wkspxtJBijDdVLhA/CexVWXwR8L0Y4yP5RZapLUiT3ZOA21j9ouPjuUQ1NFOrfn6K9IR836rlCVDYZFRZjZCeWJ8nbWD+KGnz8r+Q/i1eR3oTphQqPTy7q5ZV3xAtqr62F9MGeC6h2EnFiyvfvzfAc2VoYJ4A7wf+D7g+hHBUjPHSfs8VXiXpdEHla9go48XasGKyprhijM9X7qb+NO9Y6iXG+J0QwlakiY0xpNn/pcCZMcYzcw1uaD4FnBFC+GSM8a68g8lKjHFDgBDCv4H/iTGWocfCmpS2cqi/EvVUmjXI9RIK/hlRSTp9Ke846mhP0oohSGdQ6q+QJ+Uxxl3zjkFDUvqeWJVJSQ4OIbyOlZULc2OMf8w3sqEJIVyz7rVSMcY31TOWeosxNucdQx2V/RjaRHqz7MRKX+efV248DavETS0qNwkvjzEuW9cNwzyr9pqSpJDnFYXQP1kTY3wg73jqIYTwNPCiGGORh3StUQjh98CPC15au06VXjwvrPx4Z4yx0OXSlbumG5B+uPSwcvYWAGKM4/KIS4MTQugFtokxPhZC2Ja0cqiJtHLolqI3aK/0dfm/GOOSquWnAAfHGIs4E5Qk1dUI6IlVOpXXbFCKPMy0cs33X+DlMcY71rW+hpcQwnJgxcRAIYTXAJeR9k98SxHPO6vOpXvXsmqS5/5ZGVVHI6GyhrSh3X4Uu7/Q2lwITA8h7EJapbFKkqYkY6QhTdb09VsoQy+zj+UdgLJRosqhFUreU0ka1ipDvu6MMc6oWn4csFeM8UP5RDY0I+EGaJGTFQOp6mW2VkXtZVa212xNKtd8D1LQ6tHBqMw4dzCwNWnl3gpFfX/2s0pfqBjjn0MIrwKuyimeIetfqTecq/ZMRtWfyZpiu6jy/RsDPFf4MdIhhFHA10iHtY0mPRg/F0L4NnBS9fTJRRFjLHMCeCQo3WxsI6WnUp/KVOv/A+xMemxZIcb4s1yC0qCEEMYCnwEOYeCLjhcO9HsFcigre7v0Nwf4bINjycwIuQFaNtW9zNbEXmbFcDZwcgjh/THGpXkHk6UQwpGk13w9wOOsmnQr/PtzoGRNjLEzhLAP6edgoYUQHiftP3cdMCfGGHMOaQWTUfV3ISZriqzsY6RPJ5016VPAnyrLXkvawLyJdBreQgshbMPqF8ML17C6hoGSVg6NmJ5KlT4LVwO7VRYlpAmN5aTNsE1GDW/fBd5F+j68kfLd6W8FFg+w/CmgrcGxZK3sN0BLZST0Mqv0jDoyxrh4Xf2jit4zCmgHDgAeDCH8i9Wv+Yq8f18l7ct2YqUJ/YhQafpdhuPp/5Fe330G+F4I4RFWTU515hWYyaj6M1lTYGXthdXP+4APxRiv6LcshhAeI70gKWQyKoSwKfBt4L1UJaIqiv53VzplrxwaziXSdXAWMA94BfAgsA8wnvSYcnyOcWUuhNAMvBhYEGN8MudwsvJ24IgYY0fegdRJJ/A60llX+3s9xb/ouJBy3wBV8TwK9PZ7XGaPAJeuc61i2hb4YZkSUZX+soO62VL0XrMxxoupzIgYQtiB9DPwjcC5pDcLc8sJmYyqP5M1BVfy4SbjgTsHWP4vin2H+AzS1+w9wC9JG1/vSDode2GHYZTciKkcGgH2Aw6JMT4VQkiA5hjjX0MIXyBNVO2Tb3jrL4RwNjAvxnh+JRF1HekMuc+EEA6LMd6Qa4DZ6AH+nXcQdfR9YEYIYQwr+9BNIq0I/kpuUWWjtDdAR0JPrBBCK+kF4kDnm4V8b/avdO57XDmv3qWy+P6itoSoVvL+WNcBLyVN5pfFVMpX+btGIYQm0mujiaQ3X/YH/kM6RD03JqPqzGRNsZM1I2C4yV3AMcCJVcuPYeAkVVEcBhwVY7y+MoPE32KMM0MID5MOSyxcMqPsd3BGWOVQqY+bpDNZ9s129QRpv4VIehL7gryCysg7gZmVx28C9gJeTlpl+jXSxFTRnUuawB90c+UiiTF+J4SwFTAdGFNZvAw4M8Z4Zn6RZaK0N0DL3hMrhPA/wO9Iq4jGk1bZbEM6ucx/KH6itC+h+FXSG4MbVhb/N4TwPdI+pctyCy5DIYR9gd2Bq2KMz1RmrF5a8KTbBcA3QwjbAbeRHjNXKGLVZYzxwrxjaJQQwm+p3DgjTSxeDHw4xnh/nnGByaiGKPNFxwhI1pR9uMmXgctCCAeS9gaB9GD1auAduUU1dG2svHvzFLB55fGNwPfyCCgDI+oOTpmNgOPm3cALSatr/gl8vDLL0KeAolc0bAU8VHl8KPCrGONtIYSngY/kF1amtgMODyFMJH39qi86Pp5HUFmKMX4phHA66fsU0tn1nlnb7xTBCLgBWuaeWNOBX5N+1j8FHAQ8R1o1/J0c48rSd0j70U0jfS0h7bF0CrApg2/oPiyFELYErgBeRfq5vgfpuehZpEnFT+cW3ND13cQ9Z4DnCl11OUK8CegiTUJdB9wQY3w635BSJqPqbARcdJQ9WVPa4SYAMcbfhhBeARxHWhoOaUXUsTHG2/KLbMgWADsAC4H7SCulbiE9uRsWB99ajaQ7OFDuJD7lP25+G9ii8vgrwO+Be4ClpBVERfYE6fCS/5A2q+2rHtogr4DqIJDe+YaV5y59SpMQrySf/p53HFkLIbyBtPJkN+ANMcYHQggfBjpjjH/MN7ohu5Dy9sR6GTA1xphUKrpHV2bz+jzwE9JEVdEdCbwvxnhVv2W3hxD+A/ycgiejgDOBJ0mrgfsPZ7uE9HOxyEpbdQkQQhhNOgx4Mul55yqf6THGoifbxpPORv064OvAC0IIt5IO0ZsTY8xtqJ7JqPor+0VHqZM1lHu4CQAxxn8C7887joxdRjprxM2kJwC/CiF8iLTk/es5xpWZSr+TN5OWgv8gxvhkCGE3oDvGuCjf6IZmBCTxS33crDTK7Hv8z8qF416kTb67cgssG5cCF4UQ7iGtuOxr8v0y4N6cYspUjPF1ecdQTyGEsaQzCh1C+pm+yhDhGOMLB/q9IgghHEGauLiAdP/6LqhGkVajFD0ZVdqeWKz8fAN4jPSG2t2k55475xVUxnoY+Dh5D+n+F90hwBtjjI+HEPovvw/YKZ+QsjECqi6/DBxF2nN2Omlialfg3cBJOcaViRjjU8CVlS9CCDuT7tfnSPc1t2Onyaj6K/VFB+VP1pRuuEmlV8agxBgfq2cs9RJj/FK/x5eFEPYHXpP+GK/OL7JshBAmkDbebQU2Ib3r9iTw8crPRR8uVPYkftmPm6uIMf4XuDXvODJyHGnF5U7A5/oN7doe+FFuUakW3yUdKnQJ6dDt0lR7kc6A+7EY489DCEf3W/4X0qFQRVfm6ozbSZPa95G+Xl+sXDd8hPTzoQx+Qnr+XD3U95OkCdSi24Sqar2KVlYmGgur5FWX7yU9dl5dGcJ9aYxxfgjhbtJRFd/PN7yhqVR+7U/avHwi6ciD5aSfgdflGJrJqAYo+0VH6ZI1VdY03GQZMCWvoIboEdZ98t1E8e8yrlAp3S9y+X61s4EbgA8B3f2W/xY4P4+AMlb2JH7Zj5uEEA5lzZUnk3MJKgOVBrTfGmD5asuKJIRwDXBkjHFx5fEaxRjf1KCw6uXtwBExxo51rVhAgfSzodpiVvZOLKySV2d8Ddi48vgk0urg2cDjpNUZZbAZcEQIYRLw18qyV5L24psVQji3b8WC9qb7C+lr1Ve513eu/UlW9mUtpBFQdbktcEfl8TOkPcwgrSQ6NZeIsrWY9Nru76RD874E/L8Y49Jco8JkVCOU/aKjjMmaFUo63KTUQzBGiP2B18QYe6pKwReQVmgUXdmT+GXuqUQI4TTSsu9/MLjk97AWQnglMDfGuLzyeI0K3LPmUdJZvPoel1kP6TlZGT1G2tOsOmlTmqbfZa3OiDH+od/j+4EXhRDGkw69L/QxtJ89ST8XYOW5yoOVr/4nM0Xd3xOAP4YQ9iK9xv5cCGFv4KWk1flFVvaqy4dIk6ILgftJX69/kF7DF3kWxD5vA/4cY3w270CqmYyqP5M1BRZC+AnpLDszYOVwkxDCcSGEvWKMH8o3wvXyKeCYStXJUcAvh0NmXDVpIb3DUW1bBi4RL5pSJ/HLftwkHVZyVIzxonWuWQx/Ie0391jlccLAf3+FrSaNMX5goMcldS7wYVY2ny+TXwDfCiEcTvp+HBNCOAT4Jul+F9oIqM7om7xjl8qP95coEVX6fnQxxr+FEF5N2k5gPmnD6LnAR2OMd+Ya3NCVuuqStFrobaSTHf0YOKdyHH0Z6XG10IZzJbDJqDor+0VHSZM1/R1K2l+i2hzgsw2OJStvAcaRVp5cAFxLepGl4rie9GKq7z2YVE5gTyAt6y+6UlcOVStZTyVIK2yKWiE0kF1Jh8r0PVaxbQccHkKYSJrsXtb/yYIOD+pzCmk/s3tJE6bzKst/SpqQKrrSVmeEEDYAvkpa9bUh6ev3bAjhe8BJMcZla/t9DQ8xxnnAMXnHUQelrrqMMX4khNBUefyjEMKTwIHALOAHecZWdiaj6sxkTeG1kmb9qz0FtDU4lqx0Ap8KIVxLerLz6hBC90ArxhgHugui/H0OuDGEsC8whjR58yJgLOkQvkIrexIfyttTqeJc4H9JLxwLr69PTeVi8Wjgghhj4Sv0+gshXMcgh8bEGCfWOZx6C8Btlce7VT1X6CqUSk+zo0IIp5D21msGbo0x3pdrYNkpc3XGd0gb608DbqosO4A0ybYpMDWfsDRY65ogqKiTAlWUuuoSoH8VYozxEtJJLlRnJqPqz2RNsXWS9liaX7X89RT3TsDnSUtQP0/6gfKbNaxX2CEnIYSTgRtijNdXLd8IOC7G+JVcAstIjPGeEMJLSE9Ol5Aey2cC5xT8ZGdAZascKltPpQF8Fbg6hHAb6QxRq8wiFGP8YC5RDVGM8fkQwudIq0zK5u5+j5tJZxZ6gpVNhvcjrVa8mIIr+1AhgBhjJ+n5S9mUuTrjSOB9Mcar+i27PYTwH+DnmIwqgnV9nhfynLriFMpdddk3RHYvBr5JOGyHuRWdyaj6M1lTbN8HZoQQxgB9zSUnAaeRDh8qnBjj5cDlIYQtSE/sXsLKIShlcQrQE0I4NsbYv7x2Y+DLFPS16xNCeFOM8RoGGJYQQvhCjPEbq/9WsZS8cqhsPZWqfQV4I2kiakvKlWy7CXgV5fh8WyHGuOJCN4TwTeCXpMOheivLmoHvUY6edKUWQjiSNR87iz4TYpmrM3pIL/Sr3UM6BbuGv+pE9wbAvsDHSG9AFVa/qssvk+5TqaouQwivIb2puz2r94Qs7M35IjAZVX8mawosxvidStntdNLhUJD2lzgzxnhmfpFl4kngA8DiGGMZZ0/6BHBmCGHPGONxeQeTsYtDCJOqZ+4KIUwjPeEpdDJqBFQOla2nUrVPkk6S8LO8A6mDC4FvhhB2Jp0ieZXkTIFn0+vvGODAvkQUQIyxN4TwbeDPpM15CyuEcM3ani9ywiaEcAZp1f11pLNDle3YeQrlrc74CekkHdU9yz5J2t9Tw1yM8U8DLP5DCOF+0n6XsxobUXZCCAcBd8cY/02/2Ugrw9dfXYK2Hj8Abia9fi3jeeewZTKq/kzWFFyM8UshhNNJZ/eCtAdY4e8Oxxh7QgjfB16Qdyx1cgXpxeJvQwgTSEvgy+J40mFQr4kxRoAQwmeAk4HCXkj1U/bKoVL1VBrA86QndWXU954cKOFblrunY4AJQKxavisrZy8rlKqZY6tvvmxAOmPSDsBlDQ4ta0cDU2KMv8o7kHooeU+szYAjQgiTWDk89pWk083PCiGsqPwqeJP9kejvpO0xiux64OEQwptjjP/ot3w8afK76J99OwNvjTFWF4+ozkxG1ZnJmnKo7M/f846jDv5B+rqVoUpvNZXm1/sBvyW9o//hnEPKRGWmj22AjhDC/sA7Sfv0vCXGeGO+0WWi7JVDpeyp1M+PSKsuT8w7kDoYCbPp/Qr4cQjhC8D/qyzbH/h65bki+gHwO+DxGOMHBlqhUvlV9J57o0mnki+1kvbE2pP0nAzSoUIAD1a+Qr/1rNgonmNYPQleRB3ADSGEKTHG3/ZbXj2srYj+BOzN6iOZVGcmoxrAZI2Gsa8C00MImzDwkJOin5gTY3y4Ul78c1ZWJxZejPGrIYTtSO+gbg68LcZ4Xb5RZabslUNl7qkEaaPrwyt3+G9j9WRbYe/q982sV3LHAs8BP2RlJdTzpEnGz+UV1FDEGDccxGrnkt79/1p9o6mrXwBvB76Vcxx1U9aeWCOhsX7ZhRDuYtXP8ybS9+kmFP9maEI68dFNwC9DCCf2K6oowznMh4ELQwi7Anew+nlL0YchDlsmoxrEZI2Gqasr32ex+gdokYec/BT4b98PldnY3l0p7T84r6CGotKwtdqfgMNIX7+2vnVKMESj7JVDZe6pBOkd/n9WHu9e9VzhT1orM+78D2lZ/+j+z5XhNY0xPgccW6mM2q2yeH6Rb6KFEH4CfCrGuGQtq+1I1etZQI8DJ4QQXk36N7is/5MxxkL3VRoBPbFUbNU9oXpJqy2vizHek0M8WWoCiDGeH0LoBC4JIexJer5WBruTVkYdMsBzRb4eGvZMRkkjWynvxK1pGEaM8ZQGh5KltTW+/GDlC9IPzaIno8peOVTmnkqlvsMfQtiDNInfl6RJSKszlpO+roVPRvWpJJ9uzzuOjGxLpYomhFBd3dUEbAdMBq5qcFxZ+yDpbM37Vr76Syh+k+9S98RSscUYT807hkaIMc6ptIi4Enh53vFkxAbmOTEZJY1ga5j5o5DWUDk0kCTGeEldg6mDGGPzutcqjbJXDpW5p1LZnUU6g9crSHu57EPawPW7FHiWucoMc0fGGBeXcba5GOOh/X6cWvV0X/XC94EzGhZUHcQYy97TbET0xJKGoQWkN10AiDHGEMKrSCd9KEPPqJ1I+66WYTKEQjEZJY1wIYQXAR8jLVH9YKXH0tuBBVUzZgx3g50yNwEKl4waYUpdOUQJeyqtK4HRXxGTGf3sBxwSY3wqhJAAzTHGv1aGtJ1FmpwqokdJkzJ9j0trBCRsyqz0PbFUXCGE0cAXSassd6Zq9tEYY2GHeg103IwxLgJe2/ho6uIm0tnFTUY1mMkoaQQLIbyedMjJH4CJQF+T192Bo0hnaSuEEVY5RKUnyJqauBYumVGl7JVDZeypVOoERj8bkA6DAniC9O8vks7s9YK8ghqq/kOb1zTMuUxCCIey5uPn5FyCykhZG3xXlLonlgrvy6TnzmeQzqL+RdIZWN8NnJRjXOslhLBV30RGlZnh16gEEx79GDgzhLAjA/cqLfMMz7kyGSWNbKcBX4gxnh1C6N/Y9Xrg07lEpHUKIXwWmEF6B6e6iWtRkxn9la5yqL8y9lQaCQmMirtJZ8b9N+nF8MdDCA8CnwIeyDGuzIUQxrKyN9Z9McalecaTlRDCaaQXif+gZL1BRkCD77L3xFKxvRf4WIzx6sos6pfGGOeHEO4GDiIdClwkD4cQtq0kmtZ0rCz6hEd9Lq58/94Az5Vh/4Ytk1HSyLY3aTlxtSdIEwKFVfIZrz4NfDrG+J28A6mTMlYOqRy+zcpj41eA3wP3AEuB9+UVVJYqx87TSBNso0kvNp4LIXwbOCnG2JNnfBn4CHBUjPGivAOpg1I3+HaIpYa5bYE7Ko+fATatPL4SKGJz84nAosrj0t1Eq+KxJScmo6SRbQnpbGX/rlq+N/Bw48PJxgiY8aqV4s/6tEZlrBwqe0+lsu9fnxjjxf0e/zOEsAuwF2mPva7cAsvW10mHyX4K6Jvk4rWkCaom4Av5hJWZXqCsQy5s8C3l5yFgK2AhcD/wGtIKzBcChUvi95/kqEwTHg0kxrgg7xhGKpNR0sj2G+CrIYS+3lBJJZFzBlDkO6ulnPGqnyuAg0n71KgYyt5Tqez7N6AY43+BW/OOI2PvAz4UY7yi37IYQniM9Bha9GTUucD/Uvz9GEjpG3yXvCeWim0O8DbgFtIeROdUZnp+GenfZqFV+ka9n7Ri/aQY4xMhhAOAh2KM1Te1CyeEsBPpufVAxxaHANeJyShpZPs8aQXRo6TNy/9COgTlOtJGjEVV1hmv+twInBZCeCFpT6XqJq6FSySWvbKm7D2Vyr5//ZW5+XXFeODOAZb/C2hrcCz18FXg6hDCbQzcqPaDuUS1nkIIn+v342OUuMH3COiJpQKLMX4khNBUefyjEEI3aa+oWcAPcg1uiEIILwf+SPp3tydpg/YngEnAHsCU/KIbukqS+0LSCrbHWb0Xa6GPncOZyShphAkhbBpjfAogxvg0cHAI4XWkzUCbgbkxxj/mGWMGSjnjVT/nVb4fN8BzCcWsahuRlTVlFkJoI72D+k+bXxfKXcAxrD6b5TEMnKQqmq8AbyRNRG1J8V/DqVU/l7nBd6l7YqnYQgj7kCa3+/pGLQV2BJ6m6sZFAX0L+GGM8QtVEx79nvSzoei+Snqz+sQY4/K8gxlJTEZJI0933+wYIYQ5wDtjjNeR3mksi1LPeBVjLPpJzWrKXllT9sqv/kIIGwM/Ao4gvQDeA+gMIfyAtJy/iI1c+5S5+XWfLwOXhRAOJK3CBDgQeDXwjtyiys4ngWNKMJEFMOKaetsTS8PZ90krhu4IIewM/JI0WTMZGMPANxCLYh/Sz79qD5He8C26bUmTbSaiGqx0FzSS1ulZVs7w8VrSKqKyqZ7x6nWkM159iLSqQWq0R2v4KrrTgQmkw2X/22/5VRQ/mVHm5tcAxBh/S9pvbwFpBdEbK49fEWMsw8QJzwM35x2E1ktfTyxpONqTtGoW4N3AX2KM7yCt6Ht3blFlowfYaIDlu7Fyxr0iuw54ad5BjERWRkkjz83A5SGEv1d+/k4I4b8DrVi03hl9yj7jVVWPkNUUsS9I2SuHyl75VeWtwBExxr9Xerb1uYs0SVVkZW5+vUKM8Z+kjWrL6EekswVWD0MsvBDCT4A7Y4wzqpYfB+wVY/xQPpGtv5HUE0uFN4p01mZIb4L2ndd0ks6yV2TXAtNCCH2fC0kIoZX0hu+V+YWVmQuAb4YQtmPgXqylvgmVJ5NR0shzNPA50qEzCekH5LK1/kbBlXDGq+oeIRuQlhj/l/RkvYgn5GWoCKpJGXsqVWzJwK/nhkBTg2PJWqmaX69NCGFHBm7SXvST8i2Aw0MIk0gvOqpfw4/nElU2DiWd8bDaHNLG30U0knpiqdjuAD4WQrgKeD0rb1rsQNq/tMimkR5H5gNjgUtJby79Bzghx7iycknl+zkDPJf8//buPcqyqrr3+Ld5+roOhIigKMbXBHUoGhElAi2igGDEKPiEiAoXvDgwvpAg0oKo6NUrRrmiRoJEEUSTqMQHaDvAB4Iogl6YAs1DBGwRtIOC0nTdP9Yu+1BdTVdXn6p19jrfzxg16tQ+u6p/RTXV+8w911yUQqPmgMUoacxk5s10F6URcQ2wXwvdQlO1vOPVdDNCImIL4FSmfyEy8sapc6jxmUpQijS7Ub7HQa8ELlr19F5pbfj1KiJiO+B0ypKTqcXDFi7KH0fpqoFSDB7U95/ng4DfT3N8GT3dCXHMZmKp394O/AfwFuDUzPxZd/wF9Pzfvsy8qdtR72WUZdzrAR8DPpuZd1YNNxz+nqnEYpQ0xlq9yBuTHa/uITNvjoijKDM1WmiZbrlzaHCm0uDGAV+ldN70vRi1CDgrIraiFC5eHhHbAvtStoHus6aGX6/GycD1lOWIN9LY78/MfHbtDHNoCWV50NVTjj+HMvdL0hzJzPMi4sHAAzPztoGn/gX4Q6VYQxERt1CuVxYDH83MKypHGqrM9PdjJRajpDHXrfneA9iaslPNX2TmsVVCrbtx2PFqOn8CHlY7xLoag86hlmcqkZlfj4h9gHdQBn4fRdkBa8/MPK9mtiEYh+HXTwSemplZO4jW2seB/x0RGwPndseeC7yb0tXXay3OxFJbut3YbptybGpxuI/eQNn06I3ARyPiZlYWp76dmUvqRRuOiNidcsPp0cDumfnLiDgIWJKZ36qbrl0Wo6QxFhHbU4YS3g1sSuki2oKy494N9PfitekdryLi6VMOLQAeChwB/Gj+Ew1d651DLc9UAiAzz2Xli+GWNDv8esAvKMu91DOZ+ZGI2JyyvfzG3eE/Ax/KzA/VSzY0Lc7EkkZetzHQ6QBd1/OzKTeyT6Is2et1TSEiXgp8mjLIfDdW7jS+PmVelsWoOdLrvziS1tkHKEP7DqXMlNgZuBP4PPCRirnWVes7Xl1A6RiaWrj4HnDQ/McZuqY7h2h7ptI9RMQGrDqzrc8bJrQ8/HrSG4D3RsRhmfnz2mG0djLzHRHxXuDx3aH/l5m9XiI0oLmZWFJfRMQCYHtgV8rS3x0pN66/XTPXkLwdOCQzT4uIfxg4fgFl9IDmiMUoabxtBxyamRMRsQLYKDOXRMQRlDsEZ1VNN3ut73g1ddbXCuA3jQyRhPY7hxbR7kwlImJL4MOUgtsm05zS5wHYLQ+/nnQO5a7wpRGxnJVblQOQmferkkoz1hWfmipsd5yJJVUQEV8GdqLMvlpM6ZI6KDOvrZlriAKYbozA75n+OkZDYjFKGm93s7JQs5Sy/ewVlC1ot64Vagia3vFqDAYtNt051PhMJYDTgC2BY2hsA4HGh19POqR2AM1ORNwH+EdWv5Ps46f7vB5peiaWNMKeD/yWUoRaDJyXmbfXjTRUS4FHsmpRe4dpjmmILEZJ4+1SSnfUVZRW1CO7ZVEHA30eXtvcjlcRccBMz23g+15Ew51D0PRMJYBnAM/MzMtqB9Hay8xTa2fQrH0UeDFl+f35NFQIhrGYiSWNqk2BXSidie8BtomIH1OW6H07M/u+VO/fgA9GxH6U35sbR8RuwPspoz80RyxGSePteOAB3eN3UgZEnwP8hvLCv69a3PHq5Ckfb0Ap1Ey+2FjAyk63XhejxqBz6C8anKkEZQD2fWuH0LqLiC1YdZfV6yvF0ZrtQ5m3983aQeZK4zOxpJGUmcuAr3RvRMTWwNHA24Aj6ffyeyg3QR8BXEm5nv5Zd/xUSkFKc2TBxERTN00kraOI2DQzb62dY11ExPEAmdnkjlcR8TzgfcCbWVl025Fyt/iozPxGrWxaszXNVMrMXl/URcTOlAu7NwGXdVtdqyci4oHAicDLmFKIgv7//WxZt936Tpl5Ze0sktoRERtRrjN37d62p9wA/QGwODPfXTHe0ETEXwN/Q7lJ+OPMvKpypObZGSWNsdXNl4gIoNfzJVrf8epDlMHz5w8cWxwRb6LM1Ojrz20VjXYONTtTqXMl5friYlj5+2SSxYyRdwLlhca+wBmUHTofTln+/KaKubRmJ1F+Xm+rHWQujMFMLGlU/Z7SMXQRZWneO4AfZOafqqYaku4m2hWZeQ1wzcDxDSljB5rqyh8lFqOk8dbqfInWd7x6NGWQ5FS/ZdWd9nqn8d3YoP2ZSp8DNqd07rVYbGvdXsABmfmdbpfVCzPzcxFxE3Ag5d8LjaaHUm7E7Er5N/AehfsGbsS0es0ijboXAt/NzD/WDjJHvgPcFBF7Z+ZPBo5vShnY3vfrzpFlMUoab/vQ4HyJMdjx6qfA8RGx/+RuJhHxAMqOQpdWTTYcrXcOtT5TaQdgx8y8pHYQzcpmwJLu8TJWFoTPBz5WI5BmLCj/PkC5aTGohd+j+9DgNYs06sbk/7lvAudFxCsz88sDxxfUCjQOLEZJ4205A+2o6o3XA2cDN0TEz7tjTwDupGy/23etdw69EXhft6yyxZlKV+P1RZ9dB2wFXE/ZaXUv4EfAzkBLW3k3ZwxuxHjNImkuTABHAN8DzoiIowZ26GyhkD+yvFiUxlsz8yUi4r9mem5m9rpgk5k/johHAa8Ctu0OnwJ8rpEW6tY7h1qfqXQ4cEJEHJaZl9cOo7X2JWAhZXOEE4EzI+J1wBaULb2lWpq5ZpE0UhYAZOanImIJ8IWIeBxwXN1Y7XM3PWnMRMRJAx8uAF5KWZJxCT2eLxERp8z03Mw8cC6zaN20vhtbRCymLEP8ONMsQ8zMM2rkGpaIuAPYkPL7ZTllx52/yMz71cil2YmIHYC/BTIzz66dR6u3ppsyfb8RExEfB/ajgWsWSaOjm4+4RWYu7T4O4CvAbcDTGrhJOLLsjJLGz7ZTPm5ivoQFpqa03jnU+kylQ2oH0PBk5g+BH9bOoelFxAHAGd2uVr+e8vSGwHaUZZdfmudoc6H1mViS6riOgRtnmZkR8QzK701nRs0hO6MkSSNlDDqHLgMOzMwf1c4iAUTEfjM9NzPPnMssWjtdJ+IjMvM393LOicDSzDx+/pJJknTv7IyS1IRxmhk1BlrvHBqbmUoRsQWw0eCxzLy+Uhyt3udneN4EYDFqhGTmTObrnUTZutxilCQBEbH5wLK8ze/t3MnzNHwWoyS1YuryBPVX67uxnU1ZPvOziGhuplJEPJAy+PplTClEdfq+zLI5mble7QyanYj4NHB4Zv73vZz2cKb/f7FXWp+JJWle3RQRW3aFplW68DsLuuNet8yRli/2JY2RcZoZFRHvBM7LzO9MOX5/4M2ZeWyVYMPTeudQ6zOVTgC2B/YFzqDsfvVw4DDKUHpJw7MlsB5AREzdZW4B8FDgFcBX5znXUIzZTCxJ82dX4Nbu8bNrBhlnzoyS1KyI2Ax4DHBJdyHbhG7Xj+XAGzLz5IHjDwFu7PuAb3dj67eIuB44IDO/ExH/DTwlM6/qXlS+zO6F0RcRuwNvoAyJfl5m/jIiDgKWZOa36qbT6kTENVMOrQCWAucCJ2Tm7fOfat04E0uS2mVnlKTmRMQDgE8CL6W01z4WWBIRJ1OKNe+qmW9I/hfwoYh4XGa+uXaYIWu9c+gvGp2ptBll63WAZcAm3ePzgY/VCKSZi4iXAp8GTgGeQykMQ1mm8FbAYtSIysy/rp1h2JyJJWk+dHOj9qfcxD46M2+JiL+lvG6YWujXkFiMktSi9wKPogzCXjxw/KvAcUALxaj/BC4CvhwRjwJeXjnP0GTmqbUzzKUxmKl0HWXZzPXAVcBewI+AnYHedWaMobcDh2TmaRHxDwPHLwAW1YmkcTVOM7Ek1RERT6HcaLkReBzwAeAW4LmUG9qvrJeubRajJLXo74CXZuZFETG4FvlySpGqCZl5SUTsAHwZ+C5lNk9TGu0can2m0peAhcD3KUW3MyPidcAWwHsq5tLMBHDeNMd/z8ouN42oiNgT2A14CN0sqUmZ+YoqodZN0zOxJI2EDwKfyMy3d+MFJn0DeHWdSOPBYpSkFj2Y6XfXuy/l4rUZmXlTROwMnEaZC9J7Y9A5tBcrZyqtAC7MzM9FxE3AgcAX6sZbN5n5joHHX4qIHYFnlQ/z7HrJNENLgUdSOtwG7TDNMY2QiHg3cCTwE1a/O1SvZOaeAx8eOuXpyZlYH6cU+SVpNp4KHDzN8RsphX3NEYtRklp0KeXO8CenHH8lZWlb350K3DH5QWbeAbwkIhYBu9QKNUStdw41O1MpIjYETgaOm5yxkJkXAhdWDaa18W/AByNiP0oxY+OI2A14P2U2j0bXwZRC92drB5kLLc7EkjQSlgP3n+b4o1m5457mgMUoSS1aBJwVEVtRumheHhHbUoobz60ZbBgy88DVHF80z1HmStOdQzQ8Uykz74qIl1Bms6mfFgGPAK6kdJL+rHv/r5SClEbXCiz8StLa+jrw1ojYv/t4IiIeBBwLfKVerPZZjJLUnMz8ekTsA7yDcnF+FHAxsGdmTjcLZeR1XQozMZGZfS/WNNs51Gl9ptLXgN0pS2fUM5m5HDggIo4B/oYyr+fHmXlV3WSagZOA11KG0DepwZlYkup7C2XDo6uB+wBfpMyYvQH4p4q5mmcxSlKTMvNcGpmh1Pn8DM+bwM6hkTYGM5XOA46NiCdRlsX+YfDJzDyzSirN2DQv+PeJCMAX/CPuOODsiPgpZbn6XYNPZuZrqqQakhZnYkmqLzNv7nbUezkrb8J8DPhsZt5ZNVzjLEZJalpEbMCqd0//XCnOrGXmems+qxnNdg6NyUylf+7eH9K9DZoALEaNMF/w99qxwB6UQtSDae9n1/RMLEn1dEWnU7o3zZMFExOt/TsladxFxJbAhyl39jeZ+nxm9n03trESEU+noc6hiFgGPHmyGCWNkohYCvyjL/j7JyJuAw7PzM/UzjIXIuJmYKfMvLJ2FkntiIhbKMv0FgPfysysHGls2BklqUWnAVsCx9Donf2u42t7YGtgo8Hn+vxCZEw6h5yppFHmEOz+uovSUdqq5mdiSariDZSO/DcCH+0K35PFqW9n5pLVf6rWhcUoSS16BvDMzLysdpC5EBGPBc6mbDkLpdi2HnA35cVIb4tRY7IbW/MzlbpdaPZg+mLpsVVCaaZ8wd9fn6TsOHpU7SBzpOmZWJLqyMzTgdMBup24n025hjmJcn1tzWSO+B9WUot+Ady3dog59H8o260/DfgV8FRgU+CjlB1B+q71zqGmZypFxPaUn+EKyt/Lmynzvv5I2ZnGYtRo8wV/f/0VsF9EPBf4Kav+7F5fJdXwtD4TS1IlEbGAsuJgV+A5wI6Ua5Zv18zVOotRklr0RuB9EfEm4LLMvLtynmHbAdgtM5dFxASwXmb+MCLeTilUPbVuvHXWdOfQGAyj/wBwFnAosIyyC+KdlB0hP1Ixl2bGF/z99Tjgku7xY6Y818LP8TDg1X1eii5p9ETEl4GdKNebiyldUgdl5rU1c40Di1GSWnQl5ffbxQCTW5JPamCA+YaUF/kAt1C2X09gCbBNrVBD1HTn0BjYDjg0MyciYgWwUWYuiYgjgE9TClUaXb7g76nMfHbtDHOs9ZlYkup4PvBbShFqMXBeZt5eN9J4sBglqUWfAzYH3kybA8yvAB4PXEO5C/76iPgVcDjwy4q5hmIMOodan6k0ObsMYCmwFeXv7C2U71ejzRf8GlWtz8SSVMemwC6UWVHvAbaJiB9Tluh9OzNdqjdHLEZJatEOwI6ZeUntIHPkRMpsEChLar5BmZP1J+BVtUJpZsZgptKllO6oq4ALgCO75aQHUzr4NNp8wa9R1fpMLEkVZOYy4CvdGxGxNXA08DbgSKDvKypGlsUoSS26moZ/v3W7fkw+viQiHglsC1yXmb+tFmyIGu8can2m0vHAA7rHR1N2fjwH+A2wb61QmjFf8GtUtT4TS1IFEbERZWD5rt3b9pQu7/Mpy/Y0RxZMTPi7W1JbImJXyl39wzLz8tp5tHbW1DmUmY+vGG+dRcTvgGdm5uUR8Xtgh8y8IiKeCXw6M7etm3D4ImJT4DZg/cxcXjuPVi8i7u3CeyIzd523MJIkzbGIuANYQNk0ZzFled4PMvNPVYONgWY7BySNtbMpQ75/FhHLKXc3/iIz71cl1RBFxJ7AbpTh5feYsZSZr6gSanha7xxqeqZSRLwrM48ZPJaZt0bEhpSf6wvrJNNMjMEQbEmSBr0Q+G5m/rF2kHFjMUpSi6buwNaUiHg3ZQ37T2hzQPt2tL0bW+szlQ6NiBsz8+TJAxGxAXAG8Nh6sSRJku4pM79ZO8O4shglqTmZeWrtDHPsYOCAzPxs7SBzpOnOIdqfqbQ3cE5ELM3Mf4+I9SnbJT+R0uUmSZKkMWcxSlLTImILVh2AfX2lOMOyAriwdog51HTnUGaeO/D4WuAJgzOVauUalsy8MCJeCpwREcuAg4CnALtk5s1100mSJGkUrLfmUySpXyLigRFxSjeQ8FfANVPe+u4k4LW1Q8yh44HJIddHU4aXnwMsBA6vlGloIuJdU49l5q2UG0RfnP9Ew5eZXwcOA74BPA1YmJm/qptKkiRJo8Ld9CQ1JyL+L7AT8HbKnJqDgIdTXhy/KTO/UDHeOouIBZSlXQ+jdBFN3Xr9NTVyzaWWdmOLiKXA0dPMVDoT2KaPuwVGxEmreWpvyt/Rv3QjZubr5yWUJEmSRpadUZJatBdwWGZ+lW5JW2aeABwFHFg12XAcC+xBGVz+YGDLKW+9NgadQ3sD74+IFwFMmam0a81g62Db1bxdDdx/4ONtagWUJEnS6HBmlKQWbQYs6R4vAzbpHp8PfKxGoCE7DHh1Zn6mdpA50vRubC3OVMrMZ9fOIEmSpP6wM0pSi66j7MAGZQj2Xt3jnYHbqyQarruA79cOMYda7By6B2cqSZIkaZzZGSWpRV+iDLv+PnAicGZEvI4yCPs9FXMNyycpyw2Pqh1kLrTYOXQvM5VuBK4A/ikiAGcqSZIkqX0OMJfUvIh4OvAsIDPz7Np51lVEnAzsB1wJ/JRVB5g3UcyIiP2BU4BrKZ1DN9RNNHsRsXiGp05kZhPdX5IkSdLqWIyS1JSI2BA4GTguM6+pnWcurKGw0ctihruxSZIkSePDYpSk5nRLu57cajGqRXYOSZIkSePDmVGSWvQ1YHfg47WDaGbcjU2SJEkaHxajJLXoPODYiHgScBHwh8EnM/PMKqnWQUT810zPzcznz2UWSZIkSVoXFqMkteifu/eHdG+DJoDeFaOAX9cOIEmSJEnD4MwoSZIkSZIkzZv1ageQJEmSJEnS+HCZnqQmRcSDgD2ArYGNBp/LzGOrhFoHzoySJEmS1AqLUZKaExHbU3bUWwFsCtwMbAH8EbgB6F0xCmdGSZIkSWqEM6MkNScivgNcARwKLAOeDNwJfB74SGaeVS+dJEmSJI03Z0ZJatF2wImZOUHpjtooM28EjgCOqxlsmCJis4jYISI2rp1FkiRJkmbKYpSkFt0N3NU9Xgps1T2+hTJDqtci4gERcTrwG+D7wMO64ydHxDFVw0mSJEnSGliMktSiSyndUQAXAEdGxHOAdwNZK9QQvRd4FLADcMfA8a8CL6qSSJIkSZJmyGKUpBYdDyzvHh9NGV5+DrAQOLxSpmH6O+DwzLwIGBz8dzmlSCVJkiRJI8vd9CQ1JzPPHXh8LfCEiNgUuA1Yv1auIXow0++ud19gwTxnkSRJkqS1YmeUpOZExLumHsvMWykF+C/Of6KhuxTYbZrjrwQumucskiRJkrRW7IyS1KJDI+LGzDx58kBEbACcATy2XqyhWQScFRFbUTq9Xh4R2wL7As+tGUySJEmS1sTOKEkt2ht4f0S8CCAi1gdOB54I7Foz2DBk5teBfYBdgBXAUZRdAvfMzPMqRpMkSZKkNVowMTGx5rMkqWciYg9KJ9TfAwcBTwN2ycxfVQ0mSZIkSWPOYpSkZkXE/sApwLXAwsy8oW6i4euWH96jyzUz/1wpjiRJkiStkcUoSU2IiJNW89TelIHf108eyMzXz0uoORIRWwIfpgwx32Tq85nZwo6BkiRJkhrlAHNJrdh2NcevBu4/8HwLFfjTgC2BY4CbaeN7kiRJkjQm7IySpJ6JiNuBZ2bmZbWzSJIkSdLacjc9SeqfXwD3rR1CkiRJkmbDYpQk9c8bgfdFxHYR4XwoSZIkSb3izChJ6p8rKb+/LwaIiHs86QBzSZIkSaPMYpQk9c/ngM2BN+MAc0mSJEk9YzFKkvpnB2DHzLykdhBJkiRJWlvOjJKk/rkabyZIkiRJ6imLUZLUP4cDJ0TEtrWDSJIkSdLaWjAx4agRSeqTiLgD2BBYACwH7h58PjPvVyOXJEmSJM2EyzwkqX8OqR1AkiRJkmbLzihJkiRJkiTNGzujJKnHImILYKPBY5l5faU4kiRJkrRGFqMkqWci4oHAicDLmFKI6qw/v4kkSZIkaebcTU+S+ucEYHtgX+BOYH/gn4AbKQUqSZIkSRpZFqMkqX/2Ag7LzK8CK4ALM/ME4CjgwKrJJEmSJGkNLEZJUv9sBizpHi8DNukenw/sVCOQJEmSJM2UxShJ6p/rgK26x1dROqUAdgZur5JIkiRJkmbIYpQk9c+XgIXd4xOBoyPil8CngE/UCiVJkiRJM7FgYmKidgZJ0jqIiKcDzwIyM8+unUeSJEmS7o3FKEnqkYjYEDgZOC4zr6mdR5IkSZLWlsv0JKlHMvMu4CW1c0iSJEnSbFmMkqT++Rqwe+0QkiRJkjQbG9QOIElaa+cBx0bEk4CLgD8MPpmZZ1ZJJUmSJEkz4MwoSeqZiFhxL09PZOb68xZGkiRJktaSxShJkiRJkiTNG2dGSZIkSZIkad44M0qSeigiHgTsAWwNbDT4XGYeWyWUJEmSJM2AxShJ6pmI2J6yo94KYFPgZmAL4I/ADYDFKEmSJEkjy2V6ktQ/HwDOAh4C3AHsDDwCuAR4Z71YkiRJkrRmFqMkqX+2A07MzAlKd9RGmXkjcARwXM1gkiRJkrQmFqMkqX/uBu7qHi8Ftuoe30KZISVJkiRJI8uZUZLUP5dSuqOuAi4AjoyICeBgICvmkiRJkqQ1shglSf1zPPCA7vHRwNnAOcBvgH1rhZIkSZKkmVgwMTFRO4MkaR1FxKbAbcD6mbm8dh5JkiRJWh1nRklSz0TEu6Yey8xbKd2uX5z/RJIkSZI0cxajJKl/Do2I/zl4ICI2AM4AHlsnkiRJkiTNjMUoSeqfvYH3R8SLACJifeB04InArjWDSZIkSdKaODNKknooIvagdEL9PXAQ8DRgl8z8VdVgkiRJkrQGFqMkqaciYn/gFOBaYGFm3lA3kSRJkiStmcUoSeqBiDhpNU/tDVwKXD95IDNfPy+hJEmSJGkWNqgdQJI0I9uu5vjVwP0HnvcOgyRJkqSRZmeUJEmSJEmS5o276UmSJEmSJGneWIySJEmSJEnSvLEYJUmSJEmSpHljMUqSJEmSJEnzxmKUJElSBRFxbUR8auDjhRHxzll8nUURsXwN5yyMiImIeNZssk7z9V7Vfb1HDuPrSZKk8WIxSpIkaTQsBNa6GDVDPwaeCfx0jr6+JEnSjG1QO4AkSZLmVmYuAy6onUOSJAksRkmSJE0rIv4VeBbwauDDwBOABA4GLgHeB+wPTACfAY7IzLsj4nGUDqedgM2BG4B/BxZl5h9X82ctAo7pHk90h6/LzEfOMvuBwCeAt2TmiRGxEFgM7JSZ3+3OuRY4F/gucBSwJaWD6tDM/PnA1/ofwEeAFwPLgTO68yRJkmbFYpQkSdLqbQZ8nFJ4ug04AfgPShHnduCVwI6UQtIVwKeAhwHXAl8AfgdsQylOPRLYbzV/zqeArSiFr8m5Tn+aTeCIeAvwHuC1mfmZNZz+3C7fWynjGz4A/GdEbJOZk3Oo/gXYi1KwuqLLeMxsskmSJIHFKEmSpHuzCbBbZl4MEBELgK8Am2TmAd0534yIvYGXAJ/KzMWULqTJ879HKUqdHhF/lZm3TP1DMvOGiLihezzr5XQR8V7gjcBLMvPLM/iU+wJ7ZObt3ecDfBF4KnBhRGzbfV+HZeZJ3ed8PSIuphTdJEmS1prFKEmSpNW7dbIQ1flF9/6bU877BfAkgIjYGHgbZQnfI4CNB857DLBKMWoYIuJk4OXAnpn5nRl+2vmThajO5PK8RwAXAk8HFlCWGQ6aLFhJkiStNXfTkyRJWr3bpnz85+7976Y5fp/u8fuAo4HPAi+gFHQO6Z67D3NjPWBf4GLg+2vxeVO/v8mlgZM5t+zeL51y3q/XKp0kSdIAi1GSJEnDtR/w6cx8V2aek5kXAdMOLh+iFZT5T9sBZ0bEhkP6ujd17zefcvwhQ/r6kiRpDFmMkiRJGq77sbKDatIB0504xZ+A9WdbSOqWEz4PWAh8PiKGMY7hQspugS+acvzFQ/jakiRpTDkzSpIkabi+AbwmIn4GXE8pRD1qBp93eff+TRGxGLgjMy9bmz84My+KiN0pM60+GxGvyMy71+ZrTPl6l0fEWcAHuiJZUnbTszNKkiTNmp1RkiRJw/UG4GvA+ylzo/4AHDaDz/sKcCJwOPCD7uO1lpk/BPYA9gROi4j1Z/N1BrwO+ALwbuB0ypypRev4NSVJ0hhbMDExUTuDJEmSJEmSxoSdUZIkSZIkSZo3zoySJEkaUd0SuwX3csrdmWmbuyRJ6hU7oyRJkkbX1cBd9/K2S71okiRJs2NnlCRJ0uh6AbDxvTyf8xVEkiRpWBxgLkmSJEmSpHnjMj1JkiRJkiTNG4tRkiRJkiRJmjcWoyRJkiRJkjRvLEZJkiRJkiRp3vx/jCX5tMGihM0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(20, 7))\n",
    "sns.set(style=\"whitegrid\", font_scale=1.3)\n",
    "\n",
    "style_top_malts = style_top_malts.sort_values([\"malt_kind\"]).reset_index(drop=True)\n",
    "\n",
    "# Calculate number of obs per group\n",
    "nobs = style_top_malts.groupby(\"malt_kind\")[\"malt_kind\"].agg([\"count\"]).sort_values([\"malt_kind\"]).reset_index(drop=True)['count'].values\n",
    "nobs = [str(x) for x in nobs]\n",
    "nobs = [\"n: \" + i for i in nobs]\n",
    "\n",
    "plot = sns.boxplot(x=style_top_malts[\"malt_kind\"], y=style_top_malts[\"malt_amount_percent\"])\n",
    "plot.set_xticklabels(plot.get_xticklabels(), rotation=90)\n",
    "\n",
    "pos = range(len(nobs))\n",
    "for tick, label in zip(pos, plot.get_xticklabels()):\n",
    "    plot.text(pos[tick], -3.5, nobs[tick],\n",
    "        horizontalalignment='center', size='x-small', color='black', weight='semibold')\n",
    "\n",
    "plot"
   ]
  }
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