{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "# Analyses autour du SARS-CoV-2 (Covid-19)\n",
    "\n",
    "Les données sont fournies par le [Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)](https://systems.jhu.edu/) et sont disponible sur [GitHub](https://github.com/CSSEGISandData/COVID-19)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "from scipy import stats\n",
    "\n",
    "from os.path import exists\n",
    "import requests"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "## Récupération des données\n",
    "\n",
    "On télécharge les données si elles ne sont pas déjà présentent.\n",
    "\n",
    "**ATTENTION :** comme on peut le voir dans [l'historique des commits du fichier](https://github.com/CSSEGISandData/COVID-19/commits/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv) ce dernier est mis à jour plusieurs fois par jour. Je conduis cette analyse avec le fichier du commit numéro `1b7e885187acaf46b1099b103d38da0b21e570ee`. Le fichier à ce moment est visible via ce [lien](https://github.com/CSSEGISandData/COVID-19/blob/1b7e885187acaf46b1099b103d38da0b21e570ee/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [],
   "source": [
    "def get_file(url, path):\n",
    "    # Download the file if it does not exists\n",
    "    if not exists(path):\n",
    "        print('Download file')\n",
    "        res = requests.get(url, allow_redirects=True)\n",
    "        open(path, 'wb').write(res.content)\n",
    "    if path.endswith('.csv'):\n",
    "        return pd.read_csv(path)\n",
    "    elif path.endswith('.xlsx'):\n",
    "        return pd.read_excel(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\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>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
       "      <th>1/24/20</th>\n",
       "      <th>1/25/20</th>\n",
       "      <th>1/26/20</th>\n",
       "      <th>1/27/20</th>\n",
       "      <th>...</th>\n",
       "      <th>11/28/22</th>\n",
       "      <th>11/29/22</th>\n",
       "      <th>11/30/22</th>\n",
       "      <th>12/1/22</th>\n",
       "      <th>12/2/22</th>\n",
       "      <th>12/3/22</th>\n",
       "      <th>12/4/22</th>\n",
       "      <th>12/5/22</th>\n",
       "      <th>12/6/22</th>\n",
       "      <th>12/7/22</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.93911</td>\n",
       "      <td>67.709953</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>205802</td>\n",
       "      <td>205830</td>\n",
       "      <td>205907</td>\n",
       "      <td>206073</td>\n",
       "      <td>206133</td>\n",
       "      <td>206145</td>\n",
       "      <td>206206</td>\n",
       "      <td>206273</td>\n",
       "      <td>206331</td>\n",
       "      <td>206414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Albania</td>\n",
       "      <td>41.15330</td>\n",
       "      <td>20.168300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>333330</td>\n",
       "      <td>333338</td>\n",
       "      <td>333343</td>\n",
       "      <td>333360</td>\n",
       "      <td>333381</td>\n",
       "      <td>333391</td>\n",
       "      <td>333408</td>\n",
       "      <td>333413</td>\n",
       "      <td>333455</td>\n",
       "      <td>333472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>28.03390</td>\n",
       "      <td>1.659600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>271079</td>\n",
       "      <td>271082</td>\n",
       "      <td>271090</td>\n",
       "      <td>271096</td>\n",
       "      <td>271100</td>\n",
       "      <td>271102</td>\n",
       "      <td>271107</td>\n",
       "      <td>271113</td>\n",
       "      <td>271122</td>\n",
       "      <td>271128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>42.50630</td>\n",
       "      <td>1.521800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>46824</td>\n",
       "      <td>46824</td>\n",
       "      <td>47219</td>\n",
       "      <td>47219</td>\n",
       "      <td>47219</td>\n",
       "      <td>47219</td>\n",
       "      <td>47219</td>\n",
       "      <td>47219</td>\n",
       "      <td>47219</td>\n",
       "      <td>47446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Angola</td>\n",
       "      <td>-11.20270</td>\n",
       "      <td>17.873900</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>104491</td>\n",
       "      <td>104491</td>\n",
       "      <td>104676</td>\n",
       "      <td>104676</td>\n",
       "      <td>104676</td>\n",
       "      <td>104676</td>\n",
       "      <td>104676</td>\n",
       "      <td>104750</td>\n",
       "      <td>104750</td>\n",
       "      <td>104808</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 1055 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Province/State Country/Region       Lat       Long  1/22/20  1/23/20  \\\n",
       "0            NaN    Afghanistan  33.93911  67.709953        0        0   \n",
       "1            NaN        Albania  41.15330  20.168300        0        0   \n",
       "2            NaN        Algeria  28.03390   1.659600        0        0   \n",
       "3            NaN        Andorra  42.50630   1.521800        0        0   \n",
       "4            NaN         Angola -11.20270  17.873900        0        0   \n",
       "\n",
       "   1/24/20  1/25/20  1/26/20  1/27/20   ...     11/28/22  11/29/22  11/30/22  \\\n",
       "0        0        0        0        0   ...       205802    205830    205907   \n",
       "1        0        0        0        0   ...       333330    333338    333343   \n",
       "2        0        0        0        0   ...       271079    271082    271090   \n",
       "3        0        0        0        0   ...        46824     46824     47219   \n",
       "4        0        0        0        0   ...       104491    104491    104676   \n",
       "\n",
       "   12/1/22  12/2/22  12/3/22  12/4/22  12/5/22  12/6/22  12/7/22  \n",
       "0   206073   206133   206145   206206   206273   206331   206414  \n",
       "1   333360   333381   333391   333408   333413   333455   333472  \n",
       "2   271096   271100   271102   271107   271113   271122   271128  \n",
       "3    47219    47219    47219    47219    47219    47219    47446  \n",
       "4   104676   104676   104676   104676   104750   104750   104808  \n",
       "\n",
       "[5 rows x 1055 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = get_file(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\",\n",
    "                'time_series_covid19_confirmed_global.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "Ce fichier contient le nombre de cas confirmés par pays. Chaque ligne correpond à un état d'un pays. La 1ère colonne correspond à l'état, la 2ème au pays, la 3ème à la latitude, la 4ème à la longitude et chaque colonne après correspond à une journée et contient le nombre de cas cumulés confirmés depuis le début de l'épidémie.\n",
    "\n",
    "**ATTENTION :** en regardant la période diponible j'ai remarqué que les dates sont au format américain : mois/jour/année.  \n",
    "*Tous le monde sait que seuls les formats jour/mois/année et année/mois/jour ont du sens.*   \n",
    "Je prépare donc une fonction pour parser les dates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [],
   "source": [
    "def parse_date(date_str):\n",
    "    return datetime.strptime(date_str, '%m/%d/%y')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "Regardons un peu se que l'on trouve dans ce fichier..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nombre d'états :\t289\n",
      "Nombre de pays :\t201\n",
      "Nombre de jours :\t1051\n",
      "1er jour dispo :\t2020-01-22\n",
      "dernier jour dispo :\t2022-12-07\n"
     ]
    }
   ],
   "source": [
    "def data_overview(data):\n",
    "    print(\"Nombre d'états :\", data.shape[0], sep='\\t')\n",
    "    print('Nombre de pays :', len(data['Country/Region'].unique()), sep='\\t')\n",
    "    print(\"Nombre de jours :\", data.shape[1] - 4, sep='\\t')\n",
    "    print(\"1er jour dispo :\", parse_date(data.columns[4]).date(), sep='\\t')\n",
    "    print(\"dernier jour dispo :\", parse_date(data.columns[-1]).date(), sep='\\t')\n",
    "    \n",
    "data_overview(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "## Analyse par pays\n",
    "\n",
    "La consigne est de montrer l'évolution du nombre de cas confirmés pour ces pays : la Belgique (Belgium), la Chine - toutes les provinces sauf Hong-Kong (China), Hong Kong (China, Hong-Kong), la France métropolitaine (France), l’Allemagne (Germany), l’Iran (Iran), l’Italie (Italy), le Japon (Japan), la Corée du Sud (Korea, South), la Hollande sans les colonies (Netherlands), le Portugal (Portugal), l’Espagne (Spain), le Royaume-Unis sans les colonies (United Kingdom), les États-Unis (US)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [],
   "source": [
    "countries = ['Belgium', 'China', 'China, Hong-Kong', 'France', 'Germany', 'Iran', 'Italy', 'Japan', 'Korea, South',\n",
    "             'Netherlands', 'Portugal', 'Spain', 'United Kingdom', 'US']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "On vérifie conbien de ligne ont trouve pour chaque pays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Belgium 1\n",
      "China 34\n",
      "China, Hong-Kong 0\n",
      "France 12\n",
      "Germany 1\n",
      "Iran 1\n",
      "Italy 1\n",
      "Japan 1\n",
      "Korea, South 1\n",
      "Netherlands 5\n",
      "Portugal 1\n",
      "Spain 1\n",
      "United Kingdom 15\n",
      "US 1\n"
     ]
    }
   ],
   "source": [
    "for country in countries:\n",
    "    print(country, len(data[data['Country/Region'] == country]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "Ceux qui ne contiennent qu'une seule ligne sont triviaux, les autres nécessite d'être regardé en détails."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
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       "      <th>1/27/20</th>\n",
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       "      <th>11/29/22</th>\n",
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       "  <tbody>\n",
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       "      <th>59</th>\n",
       "      <td>Anhui</td>\n",
       "      <td>China</td>\n",
       "      <td>31.8257</td>\n",
       "      <td>117.2264</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>39</td>\n",
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       "      <td>1668</td>\n",
       "      <td>1680</td>\n",
       "      <td>1688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Beijing</td>\n",
       "      <td>China</td>\n",
       "      <td>40.1824</td>\n",
       "      <td>116.4142</td>\n",
       "      <td>14</td>\n",
       "      <td>22</td>\n",
       "      <td>36</td>\n",
       "      <td>41</td>\n",
       "      <td>68</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>11520</td>\n",
       "      <td>11520</td>\n",
       "      <td>13840</td>\n",
       "      <td>14788</td>\n",
       "      <td>15493</td>\n",
       "      <td>16205</td>\n",
       "      <td>17236</td>\n",
       "      <td>18401</td>\n",
       "      <td>18401</td>\n",
       "      <td>20761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Chongqing</td>\n",
       "      <td>China</td>\n",
       "      <td>30.0572</td>\n",
       "      <td>107.8740</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>57</td>\n",
       "      <td>75</td>\n",
       "      <td>110</td>\n",
       "      <td>...</td>\n",
       "      <td>5661</td>\n",
       "      <td>5829</td>\n",
       "      <td>5829</td>\n",
       "      <td>6231</td>\n",
       "      <td>6438</td>\n",
       "      <td>6701</td>\n",
       "      <td>6701</td>\n",
       "      <td>6952</td>\n",
       "      <td>7600</td>\n",
       "      <td>7600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Fujian</td>\n",
       "      <td>China</td>\n",
       "      <td>26.0789</td>\n",
       "      <td>117.9874</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>35</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>6019</td>\n",
       "      <td>6085</td>\n",
       "      <td>6085</td>\n",
       "      <td>6173</td>\n",
       "      <td>6344</td>\n",
       "      <td>6436</td>\n",
       "      <td>6436</td>\n",
       "      <td>6669</td>\n",
       "      <td>6669</td>\n",
       "      <td>6824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Gansu</td>\n",
       "      <td>China</td>\n",
       "      <td>35.7518</td>\n",
       "      <td>104.2861</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>...</td>\n",
       "      <td>1547</td>\n",
       "      <td>1551</td>\n",
       "      <td>1551</td>\n",
       "      <td>1551</td>\n",
       "      <td>1551</td>\n",
       "      <td>1551</td>\n",
       "      <td>1551</td>\n",
       "      <td>1559</td>\n",
       "      <td>1559</td>\n",
       "      <td>1559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Guangdong</td>\n",
       "      <td>China</td>\n",
       "      <td>23.3417</td>\n",
       "      <td>113.4244</td>\n",
       "      <td>26</td>\n",
       "      <td>32</td>\n",
       "      <td>53</td>\n",
       "      <td>78</td>\n",
       "      <td>111</td>\n",
       "      <td>151</td>\n",
       "      <td>...</td>\n",
       "      <td>34114</td>\n",
       "      <td>35643</td>\n",
       "      <td>37254</td>\n",
       "      <td>39052</td>\n",
       "      <td>40730</td>\n",
       "      <td>42612</td>\n",
       "      <td>44315</td>\n",
       "      <td>46450</td>\n",
       "      <td>48187</td>\n",
       "      <td>49638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Guangxi</td>\n",
       "      <td>China</td>\n",
       "      <td>23.8298</td>\n",
       "      <td>108.7881</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>36</td>\n",
       "      <td>46</td>\n",
       "      <td>...</td>\n",
       "      <td>2386</td>\n",
       "      <td>2395</td>\n",
       "      <td>2395</td>\n",
       "      <td>2400</td>\n",
       "      <td>2411</td>\n",
       "      <td>2411</td>\n",
       "      <td>2419</td>\n",
       "      <td>2424</td>\n",
       "      <td>2425</td>\n",
       "      <td>2425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Guizhou</td>\n",
       "      <td>China</td>\n",
       "      <td>26.8154</td>\n",
       "      <td>106.8748</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>1277</td>\n",
       "      <td>1297</td>\n",
       "      <td>1297</td>\n",
       "      <td>1321</td>\n",
       "      <td>1356</td>\n",
       "      <td>1376</td>\n",
       "      <td>1385</td>\n",
       "      <td>1385</td>\n",
       "      <td>1415</td>\n",
       "      <td>1495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Hainan</td>\n",
       "      <td>China</td>\n",
       "      <td>19.1959</td>\n",
       "      <td>109.7453</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>22</td>\n",
       "      <td>33</td>\n",
       "      <td>...</td>\n",
       "      <td>9077</td>\n",
       "      <td>9092</td>\n",
       "      <td>9092</td>\n",
       "      <td>9121</td>\n",
       "      <td>9184</td>\n",
       "      <td>9239</td>\n",
       "      <td>9298</td>\n",
       "      <td>9298</td>\n",
       "      <td>9453</td>\n",
       "      <td>9453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Hebei</td>\n",
       "      <td>China</td>\n",
       "      <td>39.5490</td>\n",
       "      <td>116.1306</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>2182</td>\n",
       "      <td>2767</td>\n",
       "      <td>2767</td>\n",
       "      <td>2783</td>\n",
       "      <td>2801</td>\n",
       "      <td>2818</td>\n",
       "      <td>2818</td>\n",
       "      <td>2823</td>\n",
       "      <td>2823</td>\n",
       "      <td>2825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Heilongjiang</td>\n",
       "      <td>China</td>\n",
       "      <td>47.8620</td>\n",
       "      <td>127.7615</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>21</td>\n",
       "      <td>...</td>\n",
       "      <td>4332</td>\n",
       "      <td>4434</td>\n",
       "      <td>4434</td>\n",
       "      <td>4524</td>\n",
       "      <td>4612</td>\n",
       "      <td>4723</td>\n",
       "      <td>4815</td>\n",
       "      <td>5038</td>\n",
       "      <td>5038</td>\n",
       "      <td>5156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Henan</td>\n",
       "      <td>China</td>\n",
       "      <td>37.8957</td>\n",
       "      <td>114.9042</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>32</td>\n",
       "      <td>83</td>\n",
       "      <td>128</td>\n",
       "      <td>...</td>\n",
       "      <td>7144</td>\n",
       "      <td>7144</td>\n",
       "      <td>7277</td>\n",
       "      <td>7352</td>\n",
       "      <td>7508</td>\n",
       "      <td>7508</td>\n",
       "      <td>7714</td>\n",
       "      <td>7877</td>\n",
       "      <td>7877</td>\n",
       "      <td>8031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Hong Kong</td>\n",
       "      <td>China</td>\n",
       "      <td>22.3000</td>\n",
       "      <td>114.2000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>2101888</td>\n",
       "      <td>2109435</td>\n",
       "      <td>2118245</td>\n",
       "      <td>2128382</td>\n",
       "      <td>2138378</td>\n",
       "      <td>2148489</td>\n",
       "      <td>2157976</td>\n",
       "      <td>2167484</td>\n",
       "      <td>2177436</td>\n",
       "      <td>2189417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Hubei</td>\n",
       "      <td>China</td>\n",
       "      <td>30.9756</td>\n",
       "      <td>112.2707</td>\n",
       "      <td>444</td>\n",
       "      <td>444</td>\n",
       "      <td>549</td>\n",
       "      <td>761</td>\n",
       "      <td>1058</td>\n",
       "      <td>1423</td>\n",
       "      <td>...</td>\n",
       "      <td>68561</td>\n",
       "      <td>68609</td>\n",
       "      <td>68609</td>\n",
       "      <td>68629</td>\n",
       "      <td>68696</td>\n",
       "      <td>68716</td>\n",
       "      <td>68716</td>\n",
       "      <td>68729</td>\n",
       "      <td>68778</td>\n",
       "      <td>68778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Hunan</td>\n",
       "      <td>China</td>\n",
       "      <td>27.6104</td>\n",
       "      <td>111.7088</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>24</td>\n",
       "      <td>43</td>\n",
       "      <td>69</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>2040</td>\n",
       "      <td>2129</td>\n",
       "      <td>2129</td>\n",
       "      <td>2155</td>\n",
       "      <td>2185</td>\n",
       "      <td>2216</td>\n",
       "      <td>2282</td>\n",
       "      <td>2365</td>\n",
       "      <td>2376</td>\n",
       "      <td>2390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Inner Mongolia</td>\n",
       "      <td>China</td>\n",
       "      <td>44.0935</td>\n",
       "      <td>113.9448</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>7480</td>\n",
       "      <td>7587</td>\n",
       "      <td>7664</td>\n",
       "      <td>7664</td>\n",
       "      <td>7807</td>\n",
       "      <td>7862</td>\n",
       "      <td>7928</td>\n",
       "      <td>7973</td>\n",
       "      <td>7973</td>\n",
       "      <td>8050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Jiangsu</td>\n",
       "      <td>China</td>\n",
       "      <td>32.9711</td>\n",
       "      <td>119.4550</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>33</td>\n",
       "      <td>47</td>\n",
       "      <td>...</td>\n",
       "      <td>3385</td>\n",
       "      <td>3417</td>\n",
       "      <td>3417</td>\n",
       "      <td>3454</td>\n",
       "      <td>3481</td>\n",
       "      <td>3565</td>\n",
       "      <td>3596</td>\n",
       "      <td>3626</td>\n",
       "      <td>3626</td>\n",
       "      <td>3667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Jiangxi</td>\n",
       "      <td>China</td>\n",
       "      <td>27.6140</td>\n",
       "      <td>115.7221</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>36</td>\n",
       "      <td>72</td>\n",
       "      <td>...</td>\n",
       "      <td>1532</td>\n",
       "      <td>1533</td>\n",
       "      <td>1533</td>\n",
       "      <td>1533</td>\n",
       "      <td>1538</td>\n",
       "      <td>1538</td>\n",
       "      <td>1540</td>\n",
       "      <td>1543</td>\n",
       "      <td>1543</td>\n",
       "      <td>1543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Jilin</td>\n",
       "      <td>China</td>\n",
       "      <td>43.6661</td>\n",
       "      <td>126.1923</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>40387</td>\n",
       "      <td>40418</td>\n",
       "      <td>40418</td>\n",
       "      <td>40436</td>\n",
       "      <td>40446</td>\n",
       "      <td>40455</td>\n",
       "      <td>40464</td>\n",
       "      <td>40473</td>\n",
       "      <td>40480</td>\n",
       "      <td>40481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Liaoning</td>\n",
       "      <td>China</td>\n",
       "      <td>41.2956</td>\n",
       "      <td>122.6085</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>17</td>\n",
       "      <td>21</td>\n",
       "      <td>27</td>\n",
       "      <td>...</td>\n",
       "      <td>2420</td>\n",
       "      <td>2457</td>\n",
       "      <td>2512</td>\n",
       "      <td>2512</td>\n",
       "      <td>2622</td>\n",
       "      <td>2644</td>\n",
       "      <td>2702</td>\n",
       "      <td>2738</td>\n",
       "      <td>2738</td>\n",
       "      <td>2796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Macau</td>\n",
       "      <td>China</td>\n",
       "      <td>22.1667</td>\n",
       "      <td>113.5500</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>797</td>\n",
       "      <td>799</td>\n",
       "      <td>806</td>\n",
       "      <td>808</td>\n",
       "      <td>810</td>\n",
       "      <td>810</td>\n",
       "      <td>813</td>\n",
       "      <td>819</td>\n",
       "      <td>827</td>\n",
       "      <td>839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Ningxia</td>\n",
       "      <td>China</td>\n",
       "      <td>37.2692</td>\n",
       "      <td>106.1655</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>230</td>\n",
       "      <td>230</td>\n",
       "      <td>230</td>\n",
       "      <td>231</td>\n",
       "      <td>233</td>\n",
       "      <td>234</td>\n",
       "      <td>234</td>\n",
       "      <td>235</td>\n",
       "      <td>235</td>\n",
       "      <td>237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Qinghai</td>\n",
       "      <td>China</td>\n",
       "      <td>35.7452</td>\n",
       "      <td>95.9956</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>417</td>\n",
       "      <td>422</td>\n",
       "      <td>422</td>\n",
       "      <td>436</td>\n",
       "      <td>449</td>\n",
       "      <td>461</td>\n",
       "      <td>461</td>\n",
       "      <td>484</td>\n",
       "      <td>489</td>\n",
       "      <td>499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Shaanxi</td>\n",
       "      <td>China</td>\n",
       "      <td>35.1917</td>\n",
       "      <td>108.8701</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>22</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>4968</td>\n",
       "      <td>5003</td>\n",
       "      <td>5049</td>\n",
       "      <td>5117</td>\n",
       "      <td>5183</td>\n",
       "      <td>5214</td>\n",
       "      <td>5249</td>\n",
       "      <td>5294</td>\n",
       "      <td>5337</td>\n",
       "      <td>5365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Shandong</td>\n",
       "      <td>China</td>\n",
       "      <td>36.3427</td>\n",
       "      <td>118.1498</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>27</td>\n",
       "      <td>46</td>\n",
       "      <td>75</td>\n",
       "      <td>...</td>\n",
       "      <td>3897</td>\n",
       "      <td>4043</td>\n",
       "      <td>4043</td>\n",
       "      <td>4086</td>\n",
       "      <td>4129</td>\n",
       "      <td>4169</td>\n",
       "      <td>4215</td>\n",
       "      <td>4264</td>\n",
       "      <td>4265</td>\n",
       "      <td>4296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Shanghai</td>\n",
       "      <td>China</td>\n",
       "      <td>31.2020</td>\n",
       "      <td>121.4491</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>20</td>\n",
       "      <td>33</td>\n",
       "      <td>40</td>\n",
       "      <td>53</td>\n",
       "      <td>...</td>\n",
       "      <td>64532</td>\n",
       "      <td>64552</td>\n",
       "      <td>64581</td>\n",
       "      <td>64611</td>\n",
       "      <td>64643</td>\n",
       "      <td>64685</td>\n",
       "      <td>64731</td>\n",
       "      <td>64780</td>\n",
       "      <td>64813</td>\n",
       "      <td>64861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Shanxi</td>\n",
       "      <td>China</td>\n",
       "      <td>37.5777</td>\n",
       "      <td>112.2922</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>3081</td>\n",
       "      <td>4076</td>\n",
       "      <td>4076</td>\n",
       "      <td>4291</td>\n",
       "      <td>4484</td>\n",
       "      <td>4671</td>\n",
       "      <td>4820</td>\n",
       "      <td>4933</td>\n",
       "      <td>4933</td>\n",
       "      <td>4950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Sichuan</td>\n",
       "      <td>China</td>\n",
       "      <td>30.6171</td>\n",
       "      <td>102.7103</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>44</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>9106</td>\n",
       "      <td>9280</td>\n",
       "      <td>9453</td>\n",
       "      <td>9453</td>\n",
       "      <td>9816</td>\n",
       "      <td>10005</td>\n",
       "      <td>10190</td>\n",
       "      <td>10451</td>\n",
       "      <td>10451</td>\n",
       "      <td>10666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Tianjin</td>\n",
       "      <td>China</td>\n",
       "      <td>39.3054</td>\n",
       "      <td>117.3230</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>23</td>\n",
       "      <td>...</td>\n",
       "      <td>2595</td>\n",
       "      <td>2602</td>\n",
       "      <td>2602</td>\n",
       "      <td>2603</td>\n",
       "      <td>2606</td>\n",
       "      <td>2606</td>\n",
       "      <td>2608</td>\n",
       "      <td>2611</td>\n",
       "      <td>2611</td>\n",
       "      <td>2612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Tibet</td>\n",
       "      <td>China</td>\n",
       "      <td>31.6927</td>\n",
       "      <td>88.0924</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1509</td>\n",
       "      <td>1512</td>\n",
       "      <td>1513</td>\n",
       "      <td>1515</td>\n",
       "      <td>1516</td>\n",
       "      <td>1516</td>\n",
       "      <td>1516</td>\n",
       "      <td>1516</td>\n",
       "      <td>1516</td>\n",
       "      <td>1519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Unknown</td>\n",
       "      <td>China</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1210962</td>\n",
       "      <td>1277639</td>\n",
       "      <td>1277639</td>\n",
       "      <td>1308689</td>\n",
       "      <td>1366751</td>\n",
       "      <td>1366751</td>\n",
       "      <td>1393647</td>\n",
       "      <td>1418778</td>\n",
       "      <td>1441108</td>\n",
       "      <td>1461337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Xinjiang</td>\n",
       "      <td>China</td>\n",
       "      <td>41.1129</td>\n",
       "      <td>85.2401</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>2499</td>\n",
       "      <td>2545</td>\n",
       "      <td>2545</td>\n",
       "      <td>2566</td>\n",
       "      <td>2577</td>\n",
       "      <td>2590</td>\n",
       "      <td>2601</td>\n",
       "      <td>2613</td>\n",
       "      <td>2620</td>\n",
       "      <td>2626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Yunnan</td>\n",
       "      <td>China</td>\n",
       "      <td>24.9740</td>\n",
       "      <td>101.4870</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>26</td>\n",
       "      <td>...</td>\n",
       "      <td>3828</td>\n",
       "      <td>4092</td>\n",
       "      <td>4092</td>\n",
       "      <td>4368</td>\n",
       "      <td>4368</td>\n",
       "      <td>4609</td>\n",
       "      <td>4698</td>\n",
       "      <td>4751</td>\n",
       "      <td>4794</td>\n",
       "      <td>4850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Zhejiang</td>\n",
       "      <td>China</td>\n",
       "      <td>29.1832</td>\n",
       "      <td>120.0934</td>\n",
       "      <td>10</td>\n",
       "      <td>27</td>\n",
       "      <td>43</td>\n",
       "      <td>62</td>\n",
       "      <td>104</td>\n",
       "      <td>128</td>\n",
       "      <td>...</td>\n",
       "      <td>4162</td>\n",
       "      <td>4239</td>\n",
       "      <td>4239</td>\n",
       "      <td>4332</td>\n",
       "      <td>4446</td>\n",
       "      <td>4708</td>\n",
       "      <td>4892</td>\n",
       "      <td>4978</td>\n",
       "      <td>4978</td>\n",
       "      <td>5077</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>34 rows × 1055 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Province/State Country/Region      Lat      Long  1/22/20  1/23/20  \\\n",
       "59           Anhui          China  31.8257  117.2264        1        9   \n",
       "60         Beijing          China  40.1824  116.4142       14       22   \n",
       "61       Chongqing          China  30.0572  107.8740        6        9   \n",
       "62          Fujian          China  26.0789  117.9874        1        5   \n",
       "63           Gansu          China  35.7518  104.2861        0        2   \n",
       "64       Guangdong          China  23.3417  113.4244       26       32   \n",
       "65         Guangxi          China  23.8298  108.7881        2        5   \n",
       "66         Guizhou          China  26.8154  106.8748        1        3   \n",
       "67          Hainan          China  19.1959  109.7453        4        5   \n",
       "68           Hebei          China  39.5490  116.1306        1        1   \n",
       "69    Heilongjiang          China  47.8620  127.7615        0        2   \n",
       "70           Henan          China  37.8957  114.9042        5        5   \n",
       "71       Hong Kong          China  22.3000  114.2000        0        2   \n",
       "72           Hubei          China  30.9756  112.2707      444      444   \n",
       "73           Hunan          China  27.6104  111.7088        4        9   \n",
       "74  Inner Mongolia          China  44.0935  113.9448        0        0   \n",
       "75         Jiangsu          China  32.9711  119.4550        1        5   \n",
       "76         Jiangxi          China  27.6140  115.7221        2        7   \n",
       "77           Jilin          China  43.6661  126.1923        0        1   \n",
       "78        Liaoning          China  41.2956  122.6085        2        3   \n",
       "79           Macau          China  22.1667  113.5500        1        2   \n",
       "80         Ningxia          China  37.2692  106.1655        1        1   \n",
       "81         Qinghai          China  35.7452   95.9956        0        0   \n",
       "82         Shaanxi          China  35.1917  108.8701        0        3   \n",
       "83        Shandong          China  36.3427  118.1498        2        6   \n",
       "84        Shanghai          China  31.2020  121.4491        9       16   \n",
       "85          Shanxi          China  37.5777  112.2922        1        1   \n",
       "86         Sichuan          China  30.6171  102.7103        5        8   \n",
       "87         Tianjin          China  39.3054  117.3230        4        4   \n",
       "88           Tibet          China  31.6927   88.0924        0        0   \n",
       "89         Unknown          China      NaN       NaN        0        0   \n",
       "90        Xinjiang          China  41.1129   85.2401        0        2   \n",
       "91          Yunnan          China  24.9740  101.4870        1        2   \n",
       "92        Zhejiang          China  29.1832  120.0934       10       27   \n",
       "\n",
       "    1/24/20  1/25/20  1/26/20  1/27/20   ...     11/28/22  11/29/22  11/30/22  \\\n",
       "59       15       39       60       70   ...         1596      1614      1614   \n",
       "60       36       41       68       80   ...        11520     11520     13840   \n",
       "61       27       57       75      110   ...         5661      5829      5829   \n",
       "62       10       18       35       59   ...         6019      6085      6085   \n",
       "63        2        4        7       14   ...         1547      1551      1551   \n",
       "64       53       78      111      151   ...        34114     35643     37254   \n",
       "65       23       23       36       46   ...         2386      2395      2395   \n",
       "66        3        4        5        7   ...         1277      1297      1297   \n",
       "67        8       19       22       33   ...         9077      9092      9092   \n",
       "68        2        8       13       18   ...         2182      2767      2767   \n",
       "69        4        9       15       21   ...         4332      4434      4434   \n",
       "70        9       32       83      128   ...         7144      7144      7277   \n",
       "71        2        5        8        8   ...      2101888   2109435   2118245   \n",
       "72      549      761     1058     1423   ...        68561     68609     68609   \n",
       "73       24       43       69      100   ...         2040      2129      2129   \n",
       "74        1        7        7       11   ...         7480      7587      7664   \n",
       "75        9       18       33       47   ...         3385      3417      3417   \n",
       "76       18       18       36       72   ...         1532      1533      1533   \n",
       "77        3        4        4        6   ...        40387     40418     40418   \n",
       "78        4       17       21       27   ...         2420      2457      2512   \n",
       "79        2        2        5        6   ...          797       799       806   \n",
       "80        2        3        4        7   ...          230       230       230   \n",
       "81        0        1        1        6   ...          417       422       422   \n",
       "82        5       15       22       35   ...         4968      5003      5049   \n",
       "83       15       27       46       75   ...         3897      4043      4043   \n",
       "84       20       33       40       53   ...        64532     64552     64581   \n",
       "85        1        6        9       13   ...         3081      4076      4076   \n",
       "86       15       28       44       69   ...         9106      9280      9453   \n",
       "87        8       10       14       23   ...         2595      2602      2602   \n",
       "88        0        0        0        0   ...         1509      1512      1513   \n",
       "89        0        0        0        0   ...      1210962   1277639   1277639   \n",
       "90        2        3        4        5   ...         2499      2545      2545   \n",
       "91        5       11       16       26   ...         3828      4092      4092   \n",
       "92       43       62      104      128   ...         4162      4239      4239   \n",
       "\n",
       "    12/1/22  12/2/22  12/3/22  12/4/22  12/5/22  12/6/22  12/7/22  \n",
       "59     1616     1628     1654     1654     1668     1680     1688  \n",
       "60    14788    15493    16205    17236    18401    18401    20761  \n",
       "61     6231     6438     6701     6701     6952     7600     7600  \n",
       "62     6173     6344     6436     6436     6669     6669     6824  \n",
       "63     1551     1551     1551     1551     1559     1559     1559  \n",
       "64    39052    40730    42612    44315    46450    48187    49638  \n",
       "65     2400     2411     2411     2419     2424     2425     2425  \n",
       "66     1321     1356     1376     1385     1385     1415     1495  \n",
       "67     9121     9184     9239     9298     9298     9453     9453  \n",
       "68     2783     2801     2818     2818     2823     2823     2825  \n",
       "69     4524     4612     4723     4815     5038     5038     5156  \n",
       "70     7352     7508     7508     7714     7877     7877     8031  \n",
       "71  2128382  2138378  2148489  2157976  2167484  2177436  2189417  \n",
       "72    68629    68696    68716    68716    68729    68778    68778  \n",
       "73     2155     2185     2216     2282     2365     2376     2390  \n",
       "74     7664     7807     7862     7928     7973     7973     8050  \n",
       "75     3454     3481     3565     3596     3626     3626     3667  \n",
       "76     1533     1538     1538     1540     1543     1543     1543  \n",
       "77    40436    40446    40455    40464    40473    40480    40481  \n",
       "78     2512     2622     2644     2702     2738     2738     2796  \n",
       "79      808      810      810      813      819      827      839  \n",
       "80      231      233      234      234      235      235      237  \n",
       "81      436      449      461      461      484      489      499  \n",
       "82     5117     5183     5214     5249     5294     5337     5365  \n",
       "83     4086     4129     4169     4215     4264     4265     4296  \n",
       "84    64611    64643    64685    64731    64780    64813    64861  \n",
       "85     4291     4484     4671     4820     4933     4933     4950  \n",
       "86     9453     9816    10005    10190    10451    10451    10666  \n",
       "87     2603     2606     2606     2608     2611     2611     2612  \n",
       "88     1515     1516     1516     1516     1516     1516     1519  \n",
       "89  1308689  1366751  1366751  1393647  1418778  1441108  1461337  \n",
       "90     2566     2577     2590     2601     2613     2620     2626  \n",
       "91     4368     4368     4609     4698     4751     4794     4850  \n",
       "92     4332     4446     4708     4892     4978     4978     5077  \n",
       "\n",
       "[34 rows x 1055 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['Country/Region'] == 'China']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "Pour la **Chine** on veut toutes les ligne sauf celle ayant \"Hong Kong\" comme région.\n",
    "\n",
    "Pour **Hong Kong** on veut la ligne ayant \"China\" comme pays et \"Hong Kong\" comme région."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
       "      <th>1/24/20</th>\n",
       "      <th>1/25/20</th>\n",
       "      <th>1/26/20</th>\n",
       "      <th>1/27/20</th>\n",
       "      <th>...</th>\n",
       "      <th>11/28/22</th>\n",
       "      <th>11/29/22</th>\n",
       "      <th>11/30/22</th>\n",
       "      <th>12/1/22</th>\n",
       "      <th>12/2/22</th>\n",
       "      <th>12/3/22</th>\n",
       "      <th>12/4/22</th>\n",
       "      <th>12/5/22</th>\n",
       "      <th>12/6/22</th>\n",
       "      <th>12/7/22</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>French Guiana</td>\n",
       "      <td>France</td>\n",
       "      <td>3.933900</td>\n",
       "      <td>-53.125800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>95451</td>\n",
       "      <td>95451</td>\n",
       "      <td>95451</td>\n",
       "      <td>95451</td>\n",
       "      <td>96389</td>\n",
       "      <td>96389</td>\n",
       "      <td>96389</td>\n",
       "      <td>96389</td>\n",
       "      <td>96389</td>\n",
       "      <td>96389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>French Polynesia</td>\n",
       "      <td>France</td>\n",
       "      <td>-17.679700</td>\n",
       "      <td>149.406800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>76899</td>\n",
       "      <td>76899</td>\n",
       "      <td>76985</td>\n",
       "      <td>77137</td>\n",
       "      <td>77137</td>\n",
       "      <td>77137</td>\n",
       "      <td>77137</td>\n",
       "      <td>77275</td>\n",
       "      <td>77275</td>\n",
       "      <td>77416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>Guadeloupe</td>\n",
       "      <td>France</td>\n",
       "      <td>16.265000</td>\n",
       "      <td>-61.551000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>197105</td>\n",
       "      <td>197918</td>\n",
       "      <td>197918</td>\n",
       "      <td>197918</td>\n",
       "      <td>197918</td>\n",
       "      <td>197918</td>\n",
       "      <td>197918</td>\n",
       "      <td>197918</td>\n",
       "      <td>197918</td>\n",
       "      <td>197918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Martinique</td>\n",
       "      <td>France</td>\n",
       "      <td>14.641500</td>\n",
       "      <td>-61.024200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>223877</td>\n",
       "      <td>224468</td>\n",
       "      <td>224468</td>\n",
       "      <td>224468</td>\n",
       "      <td>224468</td>\n",
       "      <td>224468</td>\n",
       "      <td>224468</td>\n",
       "      <td>224468</td>\n",
       "      <td>224468</td>\n",
       "      <td>224468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Mayotte</td>\n",
       "      <td>France</td>\n",
       "      <td>-12.827500</td>\n",
       "      <td>45.166244</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>41176</td>\n",
       "      <td>41176</td>\n",
       "      <td>41176</td>\n",
       "      <td>41206</td>\n",
       "      <td>41206</td>\n",
       "      <td>41206</td>\n",
       "      <td>41206</td>\n",
       "      <td>41679</td>\n",
       "      <td>41679</td>\n",
       "      <td>41679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>New Caledonia</td>\n",
       "      <td>France</td>\n",
       "      <td>-20.904305</td>\n",
       "      <td>165.618042</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>75258</td>\n",
       "      <td>76051</td>\n",
       "      <td>76187</td>\n",
       "      <td>76187</td>\n",
       "      <td>76187</td>\n",
       "      <td>76187</td>\n",
       "      <td>76187</td>\n",
       "      <td>76187</td>\n",
       "      <td>77127</td>\n",
       "      <td>77263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Reunion</td>\n",
       "      <td>France</td>\n",
       "      <td>-21.115100</td>\n",
       "      <td>55.536400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>480323</td>\n",
       "      <td>480323</td>\n",
       "      <td>480323</td>\n",
       "      <td>481540</td>\n",
       "      <td>481540</td>\n",
       "      <td>481540</td>\n",
       "      <td>481540</td>\n",
       "      <td>481540</td>\n",
       "      <td>481540</td>\n",
       "      <td>481540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Saint Barthelemy</td>\n",
       "      <td>France</td>\n",
       "      <td>17.900000</td>\n",
       "      <td>-62.833300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>5336</td>\n",
       "      <td>5348</td>\n",
       "      <td>5348</td>\n",
       "      <td>5348</td>\n",
       "      <td>5348</td>\n",
       "      <td>5348</td>\n",
       "      <td>5348</td>\n",
       "      <td>5348</td>\n",
       "      <td>5348</td>\n",
       "      <td>5348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Saint Pierre and Miquelon</td>\n",
       "      <td>France</td>\n",
       "      <td>46.885200</td>\n",
       "      <td>-56.315900</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3248</td>\n",
       "      <td>3250</td>\n",
       "      <td>3250</td>\n",
       "      <td>3282</td>\n",
       "      <td>3282</td>\n",
       "      <td>3282</td>\n",
       "      <td>3282</td>\n",
       "      <td>3282</td>\n",
       "      <td>3282</td>\n",
       "      <td>3282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>St Martin</td>\n",
       "      <td>France</td>\n",
       "      <td>18.070800</td>\n",
       "      <td>-63.050100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>12034</td>\n",
       "      <td>12058</td>\n",
       "      <td>12058</td>\n",
       "      <td>12058</td>\n",
       "      <td>12058</td>\n",
       "      <td>12058</td>\n",
       "      <td>12058</td>\n",
       "      <td>12058</td>\n",
       "      <td>12058</td>\n",
       "      <td>12058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>Wallis and Futuna</td>\n",
       "      <td>France</td>\n",
       "      <td>-14.293800</td>\n",
       "      <td>-178.116500</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3415</td>\n",
       "      <td>3415</td>\n",
       "      <td>3415</td>\n",
       "      <td>3415</td>\n",
       "      <td>3415</td>\n",
       "      <td>3415</td>\n",
       "      <td>3415</td>\n",
       "      <td>3415</td>\n",
       "      <td>3415</td>\n",
       "      <td>3415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>NaN</td>\n",
       "      <td>France</td>\n",
       "      <td>46.227600</td>\n",
       "      <td>2.213700</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>36671077</td>\n",
       "      <td>36762891</td>\n",
       "      <td>36829869</td>\n",
       "      <td>36897875</td>\n",
       "      <td>36955945</td>\n",
       "      <td>36955945</td>\n",
       "      <td>36955945</td>\n",
       "      <td>37058977</td>\n",
       "      <td>37164493</td>\n",
       "      <td>37240245</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12 rows × 1055 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Province/State Country/Region        Lat        Long  1/22/20  \\\n",
       "120              French Guiana         France   3.933900  -53.125800        0   \n",
       "121           French Polynesia         France -17.679700  149.406800        0   \n",
       "122                 Guadeloupe         France  16.265000  -61.551000        0   \n",
       "123                 Martinique         France  14.641500  -61.024200        0   \n",
       "124                    Mayotte         France -12.827500   45.166244        0   \n",
       "125              New Caledonia         France -20.904305  165.618042        0   \n",
       "126                    Reunion         France -21.115100   55.536400        0   \n",
       "127           Saint Barthelemy         France  17.900000  -62.833300        0   \n",
       "128  Saint Pierre and Miquelon         France  46.885200  -56.315900        0   \n",
       "129                  St Martin         France  18.070800  -63.050100        0   \n",
       "130          Wallis and Futuna         France -14.293800 -178.116500        0   \n",
       "131                        NaN         France  46.227600    2.213700        0   \n",
       "\n",
       "     1/23/20  1/24/20  1/25/20  1/26/20  1/27/20    ...     11/28/22  \\\n",
       "120        0        0        0        0        0    ...        95451   \n",
       "121        0        0        0        0        0    ...        76899   \n",
       "122        0        0        0        0        0    ...       197105   \n",
       "123        0        0        0        0        0    ...       223877   \n",
       "124        0        0        0        0        0    ...        41176   \n",
       "125        0        0        0        0        0    ...        75258   \n",
       "126        0        0        0        0        0    ...       480323   \n",
       "127        0        0        0        0        0    ...         5336   \n",
       "128        0        0        0        0        0    ...         3248   \n",
       "129        0        0        0        0        0    ...        12034   \n",
       "130        0        0        0        0        0    ...         3415   \n",
       "131        0        2        3        3        3    ...     36671077   \n",
       "\n",
       "     11/29/22  11/30/22   12/1/22   12/2/22   12/3/22   12/4/22   12/5/22  \\\n",
       "120     95451     95451     95451     96389     96389     96389     96389   \n",
       "121     76899     76985     77137     77137     77137     77137     77275   \n",
       "122    197918    197918    197918    197918    197918    197918    197918   \n",
       "123    224468    224468    224468    224468    224468    224468    224468   \n",
       "124     41176     41176     41206     41206     41206     41206     41679   \n",
       "125     76051     76187     76187     76187     76187     76187     76187   \n",
       "126    480323    480323    481540    481540    481540    481540    481540   \n",
       "127      5348      5348      5348      5348      5348      5348      5348   \n",
       "128      3250      3250      3282      3282      3282      3282      3282   \n",
       "129     12058     12058     12058     12058     12058     12058     12058   \n",
       "130      3415      3415      3415      3415      3415      3415      3415   \n",
       "131  36762891  36829869  36897875  36955945  36955945  36955945  37058977   \n",
       "\n",
       "      12/6/22   12/7/22  \n",
       "120     96389     96389  \n",
       "121     77275     77416  \n",
       "122    197918    197918  \n",
       "123    224468    224468  \n",
       "124     41679     41679  \n",
       "125     77127     77263  \n",
       "126    481540    481540  \n",
       "127      5348      5348  \n",
       "128      3282      3282  \n",
       "129     12058     12058  \n",
       "130      3415      3415  \n",
       "131  37164493  37240245  \n",
       "\n",
       "[12 rows x 1055 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['Country/Region'] == 'France']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "Pour la **France** on veut uniquement la ligne sans région (\"NaN\").\n",
    "\n",
    "Idem pour la **Hollande** et le **Royaume-Unis**.\n",
    "\n",
    "On peut désormais faire la courbe de l'évolution par pays..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dates = [parse_date(d) for d in data.columns[4:]]\n",
    "\n",
    "def plot(data=data, yscale='linear'):\n",
    "    plt.figure(figsize=(16,10))\n",
    "    plt.title('Evolution du nombre de cas confirmés de SARS-CoV-2 pour une sélection de pays')\n",
    "    plt.xlabel('Temps')\n",
    "    plt.ylabel('Nombre de cas en millions')\n",
    "    plt.yscale(yscale)\n",
    "    \n",
    "    curves = []\n",
    "\n",
    "    for country in countries:\n",
    "        # Get the data for the country\n",
    "        if country == 'China':\n",
    "            country_data = data[(data['Country/Region'] == 'China') & (data['Province/State'] != 'Hong Kong')]\n",
    "            assert len(country_data) is 33\n",
    "        elif country == 'China, Hong-Kong':\n",
    "            country_data = data[(data['Country/Region'] == 'China') & (data['Province/State'] == 'Hong Kong')]\n",
    "            assert len(country_data) is 1\n",
    "        elif country in ['France', 'Netherlands', 'United Kingdom']:\n",
    "            country_data = data[(data['Country/Region'] == country) & data['Province/State'].isnull()]\n",
    "            assert len(country_data) is 1\n",
    "        else:\n",
    "            country_data = data[data['Country/Region'] == country]\n",
    "            assert len(country_data) is 1, 'There is more or less than 1 line for country ' + country\n",
    "\n",
    "        # Make x\n",
    "        x = [country_data[col].sum() / 1000000 for col in data.columns[4:]]\n",
    "\n",
    "        # Plot\n",
    "        curve, = plt.plot(dates, x)\n",
    "        curves.append(curve)\n",
    "\n",
    "    plt.legend(curves, countries)\n",
    "    plt.show()\n",
    "    \n",
    "plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "On remarque une grosse augmentation du nombre de début 2022 dans la majorité des pays. Cela pourrait correspondre au variant Omicron qui est apparu fin novembre 2021 et est plus transmissible (source : [WHO](https://www.who.int/activities/tracking-SARS-CoV-2-variants)).\n",
    "\n",
    "Maintenant le même graphe avec une échelle logarithmique."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+iH0ft6b5ltNz5TAi8nwReVn6novYxw49FbhFRNYDzwCeh23VcRFwIfAeFu6tGWPMCPa9+bOj5b/IYfoYNtD4nIick56zPSLyNhG5mmN7f2/GNp++DnvrQnORbSEiPvZ6UMPeppEstmybS9qO/e9iz+dbjqFsR7v+Hc192Brb56blfjv2/s9jccyf36N8Dj8EvElsax8RkUJanoUeM/VB4F3p57LV2eHz07RPAFeKyEtExEvf44vStCP9HwB7TX17ml8v9lxb8rNzjTF7gR3AX6T7/IvY96vl48A1InJVeryyYjvF2nCEbH9TRDaI7ZzrbcB/pvNL2HNsPE378wXW/SjwPiAyxrQ6c1zKNVEptUQa8Cr12NTqnbY1tJotY4xpfZlbh71HsDX/m8CfYu81HcD+av+yRfL/e+yv2EPYWphPzEt/B/ARsc3HXtKekH5p/SXs/YDD2MefXGuMuWepO2mMuQvbuc4n0zKPYZsltnwMuAPb3PZGZr+0HI9/T/P7HrZzmzpzA8mluhXbA+4w9v7EX0mDjMVci+2k5m7sfn6WxZvk/QW2Gd6D2P1ur2WIsV8GL0rTh7GBTXmRvP4Aez/kj7FNat+D/d/y0XQbB9IyzQ98Xg3sEdvs703AqxbK3BjzGez+fxLb0cwN2M67Tth5cpL8EbbZ8i3pPt7EbI/AZ6XT09jOdP7ZLPDsUWPMMLbTrndjfzg4C3tffSv989jj/al0G3dij8dCxoDXY3sFnsR+yf+/xphPYN+LnxpjbjTGDLYG4B+BC2SB59qm3ov9weiCo+R/mLQZ55XAPdj7eSexwVov9oe0o76/aRPvj2JrAT+6SBlbnoQN6J+FDUYOa+68gC9gf/wbwx6jFxpjwmMo29Guf0dkjJnA1qD/K/bzU2HudetI6y7187vg59AYswP7fr4Pu/8PYJuoL+QfsE3cbxSRKexn/bI0n33YZrpvwV4ffor9MQVsvxDnpv8Hblgg33diA9WfYa8xt6fzjscr0jKNYoPQmfPFGPMQtjXK27AdET4E/G+O/B35k9hr5+50aJXrvdhO7oaxx+FrC6z7MWzLio/Nm39M10Sl1NKJMQ+n1ZZSSiml1MoiIu/AdiqmQYeaQ0T2YDslu+k4189hO9jaZow57LFUSqkTT2t4lVJKKaWUemT8L+DHGuwq9cjxlrsASimllFJKrXRp7bBgn6GtlHqEaJNmpZRSSimllFIrkjZpVkoppZRSSim1Iq3IJs29vb3mtNNOW+5iKKWUUkoppZQ6CW677bZhY8xRn1O+IgPe0047jR07dix3MZRSSimllFJKnQQisvdYltMmzUoppZRSSimlViQNeJVSSimllFJKrUga8CqllFJKKaWUWpE04FVKKaWUUkoptSKtqIBXRK4RkesmJiaWuyhKKaWUUkoppZbZigp4jTFfMsa8oVwuL3dRlFJKKaWUUkotsxUV8CqllFJKKaWUUi0a8CqllFJKKaWUWpE04FVKKaWUUkoptSJpwKuUUkoppZRSakXSgFcppZRSSiml1IqkAa9SSimllFJKqRVJA16llFJKKaWUUiuSBrxKKaWUUkoppVYkDXiVUkoppZRSSq1IGvAqpZRSSimllFqRNOBVSimllFJKKbUiacCrlFJKKaWUUmpF0oBXKaWUUkoppdSKpAGvUkoppZRSSqkV6ZQPeEXkBSLyIRH5gog8a7nLo5RSSimllFLq0WFZAl4R+XcROSgid86b/2wRuVdEHhCRPwYwxtxgjHk98FrgpctQXKWUUkoppZRSj0LeMm33w8D7gI+2ZoiIC7wfeCawH/ixiHzRGHN3usjb03SllFJKKaWUWlbGGIhjTBRhohii0I7HMSaM7HSSYKIIksQuk8SHv8YJJo7SvGKI0zxa41E8J33OsknbvCi267WNz64/L6+Zea11YmiVPY7wenrZ/JEPL/chPiGWJeA1xnxPRE6bN/sJwAPGmN0AIvIp4PkishN4N/BVY8zti+UpIm8A3gCwadOmk1FspZRSSiml1DIwxmDqdZJq1b42Gph0SJpNTDPENBuYZtPOazTsvEYD00ynG02bPn+6ka4XRW1DaIPCtnm0p8cxhOFyHxbL9xHXRVwXPO+I43gu4nqI48zMcwIf3LnpXk/3cu/VCbNcNbwLWQ881Da9H7gM+C3gSqAsIluMMR9caGVjzHXAdQDbt283J7msSimllFJKqQWYMCSensbUaiT1OkmlSlKZJqlU7FCtklRrJNPTJJXpdNk0iK1V7fLVKkmtRtKoY+oNkmoV4vj4C+U4SCaDEwRIECCZTDoEOEEG8X2cfM4GgV4aQPre7LTnIZ5nA8KZaXeR5T0bVHptgWYaeIrrguMirpMGmY6d9lvL2fXmBKmum+bZlt4KWJ1TvkumZXcqBbyywDxjjPlH4B8f6cIopZRSSim1UpkkmQ1Ia3UbaNbrNhCtVTGtgLNaS4PPql2+Vsc0mySNehrApsFpK5itVDD1+jGXwykUcIpFnGwWyWZxcjmcQgGvbxWSzeFkM0gma5crFHDyeZxcFslkbbCaydgANggQP7DLtwW0rQAXz0NkoXBDrXSnUsC7H9jYNr0B6F9KBiJyDXDNli1bTmS5lFJKKaWUWhYmimwgOT1NnAaTtta0QjI1ZQPMZhMThiS1OvHEBPHkxExwmtRrmGorsK2l82uYRmNpBXEcnFzOBqWtYDINQP3Vq2cD0mIRp1jALRZx8nkbtOZzOAU738nncfKFdF5BayjVSXcqBbw/Bs4SkdOBA8DLgFcsJQNjzJeAL23fvv31J6F8SimllFLqUWimc6EkmemYZ6azoTDtaChsjYcwM+/wNBOGNo8wtPOjY0mbt8wxpiX1OqZWW9K+Oh0duKWSDTbzOZxsDnfVqplxJ5dDclk7nk8D2NZ4Ll2mkLc1rbkcks/bvIJAa0jVo9KyBLwicj1wBdArIvuBPzfG/JuIvBn4OuAC/26MuWs5yqeUUkoppU4802wSjY0Tj48Tj40RT0yQTE+lzWJt89jDOxhKh7DZ1jlRc6ZWc6aX2SS2nQzND2rjGJLkkdlBx7H3Wvr2Hk8Cf/Z+T3+B12wGxysenhb44Hk4ufxsbWmhiFPIpwGqbeLrlkq2lrTVpDcI7H2eSqkZy9VL88sXmf8V4CvHm682aVZKKaWUWl7R2Bjh3r3U772Pxv33Ew4MEPb3Ew0MEI+PH3llz7P3cqb3ZTrtgVwQ2I6FOnKz062OhFwHcWdf2zsJOjytrbOgmSDTnxNstvIV30+XCWynQv4R0lqdCimlTilizMrr0Hj79u1mx44dy10MpZRSSqkVLxoeZvr736d22+1Ub7uN5u7dM2lOPo+/fj3eurX4a9bi9a3C6+nB7ezE7ezC7erELRaRfB43ralUSqljISK3GWO2H225U+keXqWUUkopdYozxlC/4w7Gv/AF6nfdTWPnTkwY4nR0kL/4YsoveAGZs7aQ2bIFf8MGve9TKbWsVlTAq02alVJKKaVODhPHVG65heF/eh+1n/4UyeXIXXQhXde+mvI115A5+2ztcVcpdcrRJs1KKaWUUmpR9fvuY+z665n62teJx8bwVq+m541voPxLv4RbLC538ZRSj1HapFkppZRSSh0XE4ZMfeMbjH7yk9R23IYEAaUrr6R05TMoPv3pONnschdRKaWOiQa8SimllFIKgGh0lMr3v8/YJz5J7Y478DdupO9//2/KL/xlvK6u5S6eUkot2YoKePUeXqWUUkqppQsPHGD0ox9l7D8/janXcbu6WPd/3kPH856n9+UqpR7VVlTAa4z5EvCl7du3v365y6KUUkopdSozSUI0MMDoxz7O6Mc/DkD5uVfT9epryZ77eA10lVIrwooKeJVSSiml1OLi6QqV732XyRu/QeXmm0kqFRCh81deRO9v/Ab+2rXLXUSllDqhNOBVSimllFphkkaD8MABGrt2Ee7dSzgwSHPfPqq33oppNnF7eui4+jlkt55H/pJtZM46a7mLrJRSJ4UGvEoppZRSjwJJpUI0MkI0PEI0Mkw8Mpq+tuaNEA8PE42MkExPz1nXKZXw166l86UvpeNZzyS3bRviusu0J0op9chZUQGvdlqllFJKqVOZMQZTqxFPTNhhPH2dGCeZmiKpVEgqFeJKhXhsfCaAjUZGMLXagnm65TJuby9eTw/Zrefi9thxf+0agjPOJDj9NH1erlLqMUuMMctdhhNu+/btZseOHctdDKWUUkqtIDPB6vQ0SdsQT6XjlWniqSmS6QrJ9JRdbmqaeGqSZGLSpk1OYsJw8Y2I4OTzOPk8blcXXm/PTADr9nTj9fSm83rwenvxurqQIHjkDoJSSp0iROQ2Y8z2oy23omp4lVJKKaUWY4whmZwkGh0lHhsjmZpKg9UpG4y2gtPW63TFBrJTU8QVO04cH3U7ksvhFos4xSJOoYBbLhOsX4/T0YFbKuGWyzjlsq2ZLXfidnbilm2a5HLaO7JSSp1AGvAqpZRS6lHLJAnxyAjh4CDhwABxGsxGY2PEo2PEoyNEo2P2PtfxcThS7arn4ZZKOKWSDVhLJfyNG3ALafBaKqaBbMlOFwt2+WIRp1DELdkAVzz9eqWUUqcKvSIrpZRS6pRlmk3CgQGaD+0n3L+fcHCAaGCAcMAGuNHg4IJNhJ1CAbe7G6+7G3/tWrLnbcXr6rbNgru7cbu6cTtscOsUCrO1qyLLsJdKKaVOFg14lVJKKbVsjDHE4+OE+/bR3PcQ4f6HZoLb5v6HiAaHIElmV3BdvNV9+GvWkrvgAvyrnoW3di3+2rX4a9bYzps6O/W+VqWUUsAKC3i1l2allFLq1BRPT9O4734a991H4777aO7bRzQ0SDgweNgjdLxVq/A3bCC/fTvBho34GzcSbNyAv349Xl+fPk5HKaXUMdNempVSSin1sJkosk2P9+6juW8v4d59NPfZITxwAFOvzyzr5PMEp5+Ot3YN/uo1+Bs3EGzaRLBxI/6GDTi53DLuiVJKrTzGGEyzianVSOp1kmoNU68RV6vE0xXCyQrhVIVoskpUqYIfcNrv/PpyF/uItJdmpZRSSp0QxhiSSpV4+BDhwYM0HniAcO++9Pmww0T9AzQPHIAomllHslmCTZvInHE6xcsvx+3pJrNlC5mzzsZfv07vlVVKPSaZKCKpNzCNetpT/BTJ1BRRtUZzuk5jukmjltBoJISNhDiKSeKEJDJEoSGMII4MUWw7jY8TOyQJJImQxIY4ERIDiZF0cEhwMI5LIi7G8ea8Ig6QTYceALLRBKd2uHvsNOBVSimlVhhjDEQRJoowcYwJw7m/7NdqmHqdpFbH1GsktTpJpUI8Pj7zrNh4aop4dNQGtcPDmFptzjYkn8fr6cHr6SFzzjmUrrqKYPMmgk2b8DdtxutbpUGtUupRxySJvV42GiSNxsy4aTRsoNpszKY1mphmOp6mJdPTROPjJBMThJUaYSNhuhkw3fSpxDmixCNxPEK/QD3bTT3bTegXSRwfyKXD0TlJiGMiXBPhEOOYBEeMHXyD64DvCI4ruJ7geILrubiegxN4eIGLG3g4voeXC/ByGbx8Fi+fxc1nyOZXTj8IGvAqpZRSizBhONv0q1ad0wwsqdVIqjWSeg1Tq2PCJiZMg8wotAHnzHTbvCjGJDFEMSZJII4xcXzYq0nsT/cLpRHbdU0c2XziGBNFNv80/Xg5HR320TsdHbidneQuusgGtqt6cXt68Pv68Ddt1lpapdRxa7UaSaaniCcn7Y9xaVBpWkFmGJI0m3a8Gc7MM1E499qYJBBHmDjBRKHttT2K0mXj2etk6/rY+iEwimYD2VZQW6/P9PpugMTxSZyA2A2I3QyRmyX2skRuhtjNEnlZYjdr07wskZsjyhRpZs+lnikTBjmYFze6kuA4hsA3FPPQ2+GR6wjwsz5BPiBTDMgWM2Q6MmTyAW7g4WZ8nIxHkLGBquc7iKPX32OlAa9SSqkVx8Qx8eQkycQE8fj4zK/t8fg4cet1csrWdNaqtoazVrNfulpDvX7kZ7YeieMgnmefx+r7M+PieeC5iOMinguOaztgctteHQfJZnAcd/FlHWcmDc9FPB9xXcT30ry8ueOei2SyOLksks3i5HI4uRz55SltAAAgAElEQVSSzeHksjjZLJLP43Z0aIdQSqnjYowh3LeP6NAhkkoFgHhqmuqttxIODhIdPEgyPU1SrRJPTi75hzmDEHlZEi9D4gWYdDwO8sRelsQNSPwsxguIvQKRl8M4HsZ1MeIS+wFRkCF2PBKZbdIbi0eCR4xDgktsHOK0GfCxchzwMy5BziNbDOgpBxS7shQ6M/gZl1JPlnJfjvKqHJ6v19hHmga8SimlTlnGGJLpaRukjo3PDVgnxonHJ9LX9vEJkslJWKxTRsfB7ejA6ejAyedxslmcfA63q8sGgvlWINgaz+Lk8jZYzOVmxmcCxnzOBoy+PxvcOsf+RUkppR4t7P2ndep3303tp3fQuP9+mg8+iGk2iYaHiUdHD1vHKZcJNthe1p1iEZPLExV6qfpd1JyCrRUVnzDxCGOhEQqNOjSbxt6jGhuajYRmfektVxxHEEcQVwgyLn7Wxc+4OK5D4Amu59imvZ6D5zu4gYPnObh+Ou3bdD8zOwQ5jyDr4mfS16xdX1u8nLo04FVKKXXSGWMwtdpssNoeuI7Pq3mdE9ROHLEWwCmVcMtl3M5O3HKZYOPGmXG3sxO3szxvuhOnVNKAVCmlUsYYTKNBPDFBdPAg0aFDRAcPYZpNklqN5oMP0ti1i+a+fSQTE3PW9dauJXPGGTj5HNnzzsPZehG1wlom6z6NhiExDhUpMD5UY3yoRn0qhMkFS4Hrx2RyHtmiR7bgU+71bNDpOQQ5j0zeI8jZJr2OK3i+MxOEehkXPw1c3XR+Judps18FrLCAV5/Dq5RSJ1/SbM4Gpm3B6WFNhsfmBq6m2Vw0T8nn5wSpmdVn22C13LlwANvZaZvfeivq35hS6jHIxPG8Wyrq6f2q6b2rYXO247n5r81mev9peg/q/A6UWh0r1euz96k2GiTNdJn0ftkj8fr68M7cgjzrRcSFXiQIaHSspVZczcRYzORwjTgyNKohtZtDoJkOVq6jSfeaPGduW0WuFOAFDpmcR7kvT6k7S6bgEWQ9XE9/iFQnhz6HVymlFGA7aAr7++2zU/fuIxoaJDp4yP7aPzY2G7hWq4vmIb4/G5AuUMPqpK9e27jb2YkTrJzeIJVSj03GGKL0GhqPjc1eN8fGicfGiCcmSCoVkmrVDul4+zOqj5vj2NsvMhkkk0EyAU6Qjmczs+OZDE4mQDJZJJPB+Bmabh6CDGGmg2rQTSUpMN307WNvIhgfaTA5XMckc2MGxxPKq/J09uVmals71xToWpOna02eXCnAcQQv0HtWT1XGGJKkRhhOEEYThOEYYThOGI4hCOvXv3y5i3hE+hxepZRShzHGEB08ROPee2js2k1z317CfQ/R3LePsL9/bvNh38db1Yu3ahX+mjVkzzln4ZrWtibFksvpfUxKqRWr9Ziu+s6dNO65l+aePTT37CEcGsI0GvZhqPO0ejx3OztxiwXcnm7bf0A+j5Mv2NdcDqeQt0FrNosEGSQIEN9HAh/xg/TVB88nEY8Yl8TxZjpaCpsxYSMmrNvXeiMmSuc1qhGNSki9ElKvRNQrIdXhJs1atMBeVih0ZgiyLo7n0LuhyJZL+uhanafYlUUcKHRmKPXkcLTJ8CnBmJgomrTBajRJFI7PBLFROJ6+toJamxZFE4ThBMYsXMMfBH2nfMB7rDTgVUqpFSwcOkjtjp9Sv/Mu6nfeSX3nTuKxsZl0p6ODYPNmcuefT8fznkuwaTPBpo34GzfirdLnqCqlHpuSRoNw/37CAweo3n47tTvuoHHvfXM6ZZJMhmDzZjJnn03xqU9Fsln8tWsJTjsNr6cbt6vL/hDo+wtuwySG6mST2nSTRi2mXgmpjDeYHm9QO9i0wWszTgPVKeqVkLAeE0eHB9VH42dcMgV7b2y24NPTWWTjuQH5joBc0UccsffN9uUo9+a0VvYkMyYhSerEcY04rtvxpEYS23lJYufbeTWiaNoGtNEkUWsIW9MTRNGCN0bPcN0ivteB53fi+2UKhS34fhnfs9OeV8b3O4njLJUKTEzGJHH+EToaJ58GvEoptUIYYwj37qV6+0+o7thBdccOwn37bKLnkTn7LIrPeDrZx51D9pzHEWzZgtfVtbyFVkqpZRZPTRENDlK78y6qt9xC7Wc/o7l372xtreuSfdzjKD7tCrJnn43X10dmyxaCM8444mO8TGKoTDQYOTDJ0IMTTI3WbU1rNaIy3mBqrE4SHX5roeMIuZKPn/VsoJr36O3Kki34BDnX9irc6kV4pkdhFy9wZnoP9ls9EgcubuDgunp/7LEyxhDH00TRlB3iaeJomiiaTgPQBklSJ0kaxEndBqlJOi9um5800rR0PGmkwW2NJGksuVyOk0uD1g48r0SQ6aNQOAvP75gNXP1OfK+cBrGd+H4HnlfGcWZ/dAmbISOHDjEyOkr/4AgjoyOMHBphZGQPteZs8/pirsCllz7xhBzT5aYBr1JKPYqZMKRyy61M3XgjU9/+NvHwMABuuUzu0u10veLl5C++mMw55+BkMstcWqWUWj5JpUJj94M0d++isWs3jd27aNxzL+H+/TPLuF1d5LZto+M5zyY4/Qy81X3kzjsPJ394bZcxhjhMZpoSjxyYZv89YwzunmBypE6jEpLEaUArUChnZoLWVZtKnHHxKjp6suRKwUwvxIXODPlS8JjuXdgYQzNpkpjE3mNqEhLsuDGGhITE2B8jEpPMLGcwM+Oxie1yyey6cRLRbA7TaB6i3jxEo3GIRnMkrSWdIoqqxKZBM0yb+rbK0xoMJGCf0ZumJQgiPoiPOJ59xcc4HqFxiXAQ8UA6QDwQF0hfxcOIS4JDmBhiJE13AAdjHDACSToeQlJLSKKYJEmwe9zAmIMk0SBJGKXHwBCZiDAOaTSaRCYiIiY0EWE6PnOsMTg4eAhut4uLg4vgGIdeWTk/iGvAq5RSjzImjqn88IdMfvkrTH372yQTEzj5PMUrnkr+sl8gf8k2W/Ogj95RSj0GGGOIx8dtB3vpI3Xs68GZeWF/P9Hg4OxKnmdv57jgfDpf8hL8devInHUWmbO2LHjtTBLD1EiN2nTIwT1THLhvjIEHxqlNhXOWcz2H1ad3cNr5PeSKPqWeHMWuDBvO6cLzT41mwiYNiKIkIk5iYhMTJem0iYmTmMhEc17DJKQRN2jEjZlgc6o5xVB1aE7eYRJy/9j9hMnc4zJaG2WsMUZiEhuMpoHozHQauCYmoRk3ic3Sn7l7YmWXuHyUDsfeAZkYQRBcXLImwDXOzDwxIK2/dB7YeaYVipu2YBxDIq0fBMzMsoKAAUccPHHxHJeCm8X3fHzXx3M8XLHPEHYyHiJiB4SuTM8Sj8GpSwNepZR6lAiHDjL+uc8y/tnPEvUP4HR0UHra0yhd9SwKT36y1uAqpVYME0VEo6O2l+O0o6hoeIR4dJR4apJ4ZHROUGvC8LA8nGIRb9UqvL4+Cpc9geD0MwjOPIPMmWcSbNy46L21M2UwhomDNW790m723TlCsz4bhOW7ffq25in0ekhg8DIOUoowvTUimSRMRhhPIg4lIWEccuuuiDAJCZOQKJk73h5oxiaeCQCjJJoJCBcKSOcErMcQwLamWwHrybKhuIFiUJwzrxSUuKDjAhwcHHFwHdcGe+LiiDMzuOISuAE5L4fruDg4MwGY0wrMxEkDQEOz0U+9uo9GY5BmY4CweQhDjAMI4LtFMm4PGbeHwO3Gly4C6cQ3ZXw6cZMMEmGrbiODxECcvrZNE9lXJxLcdCAydt3YQGhwjCC2xIgRsibAT7yZeRgwWSHOOSQBRJ4hchJCJyFyYkKxQ5OIRtKkFjeohnWqYY1qszanuXE7EaGYL1Du6qSzq5NyuUxnp31tjWce498PNOBVSqlTWNJoULn5ZsY/fwPT3/kOxDGFJz2R1X/4R5Se/jREH+ejlHqUShoNmrts8+KkXqNxz7007r2XsL+fcGhobq/xLZ6HWyrhdnfj9a0it/0S/L4+G9imwW1rfKFmyIsJ45D+Sj+3/exu7tr1AOPjk4xNTTCePUgzqONeHBMGdUKaVJIppqIpu+LI8e+/Jx6eYwfXcXElHdrGHXFml0nTWusFXmCnHQ9PZvOYs3w6PfOart9arz29Pe/2addxCZyAwLWD69ia6pybY11x3ZzODQUhcI/9/5IxBlOLSGoRSTUiroaYakQ8Fdr5zQTTjImbdarJA1TcndTdfTS8fmq5XSRuzR7LRjeZqY1kJi8mM72BYHodQW0VTpxb2pviCuI5iO8c9mpcoRlE1DIhdWlSNyENmjRMSNNENEyTpoloJiFhEtGMQzuEIc2wSTNMe0OupcMRZLNZCoUChVKBvsIaO77IkM1mcbRF1xFpwKuUUqcYYwz1O+9k4gtfZOKLXySZnMTt6aHn136Vzhe/mGDTpuUuolJKLVk8NUXjnnuo/OgW6vfeO/MjXotks2TPPZfc9kvoWL8ev6/PPsqnpwevtxevpweno+Nh9R5fDavcOnAruyd28+DEg+yf3k+zGXL/+P3UTVsU0mmHVe5quotdlHMdlIL1ZNwMHUEHPbkesm4W3/XxHR8RIe/l6cv3kffyeI5n02S26ajv+DOD53iPiV7wTRgTT4WEB6tEB6vEEw3iyWY62HHiuR13JW6DRvEh6h17CYsHaXTspda1G+PagNGNS2SitXTVn0opupgSFxK43VBykC4HJ3AQ37XBapAGrJ4D3uy4eIK4DrQFtJGJGR0bZWxsjLGxMcbHRxkfH2diYoLp6Wmq1SrGHN7JGNha1mw2SyaTsUMuQzHIkclkCILgsNeF5rWnaQB7YmnAq5RSp4ikWmXqm99i7Prrqd1+O+L7lJ75TMq//MsUnvgLiKeXbKXUo4sxhsr3f8Doxz9G5Yc/gjAEx8Epleh+1SvJXXwxmS1bcAoF3K4unOxS752cqxE3OFQ9xFh9jKHqEDuGdnD/2P3sntjNeGOcOIln7oHs8XspVrqJqnBa4yI2NrZw/uPO5spnbaec78ATj7y/ch7NcjKZKCEarhEOVggHq4RDFcLBCvHY3N6IJePidgQ4HS6cUSUpDRNmD9LwBmg4/dTivdTCPZC+R46TpVg4mw2dr6RcvoTO8jYymdUPr6zGMDExwdDQEENDQwwODjI0NMTIyNzq+kwmM9M0eP369RSLxZla1Xw+Ty6XI5/Pk81mCYLgMfEDxqPVivr2JCLXANds2bJluYuilFLHJJ6eZurrX2fyy1+m+uMdmDDEX7+e1X/6dsrPfS5uZ+dyF1EppY5L5ZZbGPqbd9O49168vj66X/1qCpc9gex55+H1HL1DHGMM9bjORGOCicYEkYloxk0Gpgfor/QzVBmiGlUJ45ADlQPsndzLRGNiTh45L8dZXWfx5HVPpjfXi8QOm+vnUL+twMi9DQrlgAuv3MSmc7vpXlt4TPeOfCyMMbZ2drxBuH+K5v5pmv3TRMO1mZpa4xhkTYKc3oTtdZLcFGF+jKY/SD3cT622l3q9H2Mim2kCThSQzW6iUDyTNcVrKJXOpVTaSiaz9mEHkkmSMDQ0xK5du9i1axf9/f00GrOBeFdXF6tXr+b888+nt7eX7u5uurq6yOWW2BxanbJksar5R7Pt27ebHTt2LHcxlFJqQSaKqPzoR0zc8AWmbroJ02jgb95E6enPoPi0K8hv3649LCulHpVMkjD2qU8x8qF/JRoYwN+8id43vony8547p8+BkdoId43cxXBtmOHaMCO1EUbqI4zURhhvjDPZmGS8MU4zaS66rY6gg6JfxHM81hTWcHr5dPryfazKraI72005U2Zrz1Z812dw9wS3fnE3B+4bxySGXEfAJVdtZutT1p0yvScfK2MMSdIkSarEcR1jQpIkwpgQYyISE2GSI4/PTjdJTIhJIhITkiQhSbNB0mgQN+rEjQZJs0nStNNJ2MCYGONEGInBjyHAvnoJsVMhjMYwHH7/teeVyeU2kcttIp/bRC63eWY6k1mNyIn7v9doNLj33nu56667ePDBB2k27XnU19fHpk2bWL169czwWO/Q6dFMRG4zxmw/2nIrqoZXKaVOZfHkJOOf+QyjH/s40eAgTrlM54teSPn5zyd7wQXaHEop9agWDh1k4K1vpfLDH5K/9FJKv/YaRp5+Pt+q7mHvz99P/3Q//dP97J/ez2h9dM66Jb9ET66H7mw3mzs2U86UKQdl+5op0xF0ELiBDW7za1hXXHdMzY1H+qf5ny/ew+6fHiLXEbDtqk1sOreH1Wd04LrL88OiMTFRNEUYjhNFk4Th+JzxmXnRBFE4QRRNEsc14qRqX+MacJJ6Wk4cxLhI4iHGg8RFjIsjPpLzcYo+jp/B9QKcoIgbZBDxcBwfEQ/PKxH4PQRBD0HQix/0EPg9ZDKr8f3yySlzm0OHDrFjxw5uv/12wjCkVCpxwQUXsGnTJk4//XRKpdJJL4M69WjAq5RSJ1lz/35GP/pRJj77OZJqlfxll7H6bW+leMUVONrLslJqBZi66SYG/uTtJM0ma/7iL9j/9Mfz+m+8nspNFQA8x2NtYS3ri+t52sansbG0kW2rt7E6v5qeXA8Z98TVsk0cqnLX9/rZ8/Nhxgar+BmXJ1xzOhc+YyNB9uR+9TXGUK8foFrdTb3eT73Rb1/r/TQaA2lAO0XrHtWFOOTwTAnXFHHjIm7UhRetQcIAJwqQMEBCH2kGSOilAao7J0AV4yGJC8ZtS3dtuuvhehmcIIMTBDh+FjeTwckEeMUsbjmDWw7sa0eAWwpsp0+nqCRJuOeee7j55psZGBjAcRzOP/98tm3bxsaNG7UDKKUBr1JKnSyN++9n+AMfZPJrXwPHofzcq+l+zWvInnvuchdNKaVOiHBwkLFPXs/whz5EddvZVH7/Wm7NTvFfP3g7eS/PO570Dh7f/Xg2FDfMPM7mZJkcqbHjK3u450eDiMC6szrZevl6zn7CanKlE//jojEJ09P3MjV1J1PTO5lOh6j1yCIAXDLuKgLTRy7aQrFeQOp5nFoOp5pFprO4zQJOWMCNCrhhwQauYHsZznk4WQ8n5+FkXSTjIlkXKaU9EKe9ETu+gwRpz8Rzxtvm+Q5O1julg9eliKKInTt38oMf/IDBwUF6enp49rOfzdatW7UmV82h9/AqpdQJVt+5k+EPfJCpG29E8nm6Xv4yuq+9Fn/1w+tZUimlThWj9VH+5zuf4tYvXceu7og9mwLGgnAmvSfbw58/8c952qanndRyjA1WePCOYfbfO8aBe8dA4LzL17Pt2ZsplE/8vZnGGMbGb2Gg/zOMjH6fMLQ9+zrkyHMG2cZpBKMb8A6uwpvowmt02ppVuxBuRwa3nMEp+LhF20TYLaRNhQuBnVfwcXIrJzA90SYnJ9mxYwe33XYblUqFnp4envKUp3D++edrbe5jjN7Dq5RSj7Daz+9k+AMfYPpb38IpFun5X2+i+9pr8bq6lrtoSil13Cabk9x56E7uHLmTe0bv4e6RuzkwfQAA51I4vXgal6+5kHN7zuXsrrM5s/NMurPdJ608JjEM7Jrgpzft48E7hgHoXlfg/Cs2cOEzNlLqfniPNpqzrTAmGq0zPbiL/tFPMRZ9n4Z7ADcqkj90Pj3D55GbOBO/2ofg4OQ9/DUFvNPzM02Dva4sblcWtyPQXqAfhpGREW6++WZ+9rOfkSQJZ599Nk94whM444wzNNBVR6QBr1JKPUzVn/yE4Q98gMr3bsYpl+n9rTfT/epX43Z0LHfRlFJqyYwx7Bzdybf2fYtvP/Rt7hu7byZtY2kjWybzPO07Mef3nMdT/uyfKXb2nvQyxWHCrp8cZM/PR3ho5yj16ZBM3mP7c0/jvMvXU+h8eLW5STUkHKqmQ4XoYJVouE6tuZ9DZ3+K6b7bwTgUJrbS07iGXvcqglUdeOfk8HqyuJ0ZnIxnmxtrB4Qn1KFDh/je977HnXfeieu6XHrppVx22WV0d5+8H1XUyqIBr1JKHafqj39sA90f/gi3q4tVv/d7dL3yFbjF4nIXTSmllmy4NswND9zAZ+/7LAemD+CIw7a+bbz5ojdzYd+FnNtxNtHnv8rQe95Jx9XPYd173oP4/kktU7Mecc+PBvnJjXuZHmuQK/ls2trNpnN7OP3C3iV3QmViQzzRoHnAPkM2PDBNOFQhmZptji2Bi6yF8a3fZKhwPYjLxu7XsfG0V5Hr3HCid1EtYt++fdx0003s27cP3/d54hOfyJOe9CSK+j9WLZEGvEoptQRJs8n0t77N2Mc/TnXHDtzeXvr+8A/petlLcfJHf0SGUkqdag5WD3Ldz67jc/d/jiiJuGzNZbzxgjdyxcYr6MraWzLq99zD/mtfRvjQQxSe+pSTGuxGzZgH7xjmgdsPsvfOEeIwYe2WMk971TlsfHz3MTULNrEhHqsTDteIDlUJByqE/dOEB2uQpP3XuIK/pkD27G781Xm81Xm8voD9Ex9jz573kyQ1Vq26irPP+lOy2bUnZV/V4cbGxrjxxhvZuXMnpVKJK6+8kosvvphCoXBiNmAMmGT2laNNM3faxPY1SV/nDO15zBufyZe528DYvOLm3DxnllkgfzMvbdFlF5o/f/l0PIns0OrfKVuGy3//xBzzZaYBr1JKHYN4aoqJz9/AyIc+RHToEN6aNax+21vpfPGLcXK55S6eUkot2c6RnXzk7o/w9T1fBwMvPOuFvOrcV3F6+fQ5y01+9av0v+1PcEsl1v3t31J61jNPSrBrjOGB2w7yw/96gOnRBvlywLlPXsdZl65mzRkdc5oKmyghnm4STzZJJptE4w3i8QbRcM0Oo/XZwBZwOgKCtQWy5/TgdmUI1hXx1xbmdAxVbwxyx51vYmLiNlb1PpPNm99AubzthO/nimAMNCZtgDa2B6K6nVcdhrAOzWmojkAcQhLa16gB4/vs9GEBXIJJYqYmJ6hOTvIUSXhuIUc+k8H5yfVwe2v5ePEgLjlCWnugpxYmDohrXwHKGzTgVUqpx4JwYIDh665j4rOfw4Qh+UsvZe273knhyU9G3JP7iA2llDrRjDHcfvB2/uPO/+C7+79L0S/ysse9jFc8/hVsLG08bNlDf/9eRq67jty2bWz4h/firVp1wsuUJIb++8b4n/9+kIEHJujdUOBpLzyTVV1ZkvEG8YPjjP1kiGTKBrjxZJOkEh6Wj/gOXk8Of22B3Pm9eL25mcEtHDlArzcGuf32V9BsDrP13L9jzZrnn/D9fEQZY4PQOLS1dnFopxtTNvBsBaFxE+oTNkCNGnaIGzA5APVxm95arjZug1uw043JYyuL44PjgRtA50bwsuCkgZU4JAiT01XGxyeIEkOh0ENvXx9+kLPLOd7MsjOD4xw+b2ZwQWSB+W3zaI0zb1qOMN0a3LbyuwvkL3PXn1nXWWAc++q49vg4Xponh5ef+fs0r4yLLi8LrLPAsiu44y8NeJVSagHh4CAj113H+Gc+iwE6X/ACOn/lReQuvHC5i6aUUks2WBnkS7u+xBd2fYG9k3spZ8q8+aI384rHv4JScPgzS02SMPhXf8X49Z+i88UvZs2fvh0JTuyzbOsTDX5+wy5G7hohaMaclnG5ZH0etx7CZ+9npLWggFMMcMsBbmeGYFMJtxTgdmRwOgI7Xg5wCv5xdRjVaAxx++2vpNkc4eKLPvzI1OpGTRuI1sehPmlrLusTENZsMDmxf7bWcnpotoZyasAuEzXsclG9bb1WbWpkA1gTH3/5ghIUV9kgzPXBzYCfg8c/bzbgK2+0AVp5A2TTThpzXRAUbVBbXJ0Ghou/J7t37+bLX/4yI6MjbNmyhSc/+cmsPf30RZdX6nhowKuUUm3CoYM20P30pzHG0PnCF9L7xjfgr1+/3EVTSqkl2TOxh+/u/y7f3f9dbhu6jcQkXLL6El53/ut41uZnkfcX7neg8qMfMfAnbyfs76fndb/Oqre85WH3PGyMIRqu0dw3RXPfJJX7xzGjddYCax0wORevN4ffl8fryeF1Z/G6s7hdGbyu7El7Ju2hQ99g5z1vI0kaXHTBv1LOPQ5qYzZojJu2tjOs2cBy+lB6j2M8rwltbMcn9qfNfCObR7MyW2Ma1mHioXT9BKqjHHPz2lYNKUBptQ1GvcAGo0EBOtaBXwDXs8s5PmSKNs0N7LTr2aA12wFeWnPq+jY90wGZEnj/n703j5Lkqu98P7HnnpW179VVvS/qltStDUlICGHJGAQ2DGaxwR4bW34Hezxm7IMf2DN4Zp49Ns9+GOYZsLGNxj4YG2ML8WBAYBACrb23uqXu6q6la98yK9fIjO2+PyIzK6u7JfUmVakVn3PuuTdu3LhxI7uqOr/xW67hH6uGL1hfwWzTxWKR73znOxw5coRUKsUHPvABNm/e/IrdL+D1TSB4AwICAgB7fp6lv/wrlr/yFYTn0fTT76TlVx9E7w2EbkBAwGsD27M5PH+YH0z8gB9O/pCx3BgAm1Ob+fB1H+YdG99BX6LvJefIPfooU7/1UfSBfrr/5E9IvO2nLlvsCk9gTeQxjy9iPreEmy4D4MkSixWXoq4wdG8/7btbUZtDSMolilohfEFpFXyhWck3lEJVsFZdcs20bykFX8AWF6iUZ4ktnuAWNDQ1gfyD+1aSFF0WEmgRX0yGm6qWTqNqHQ3B0Jv8GiDa7ltM9ShEWny30lBy5fpkny9IwbeaXiNbHZmmyWOPPcbBgwdxHIc777yTN77xjWivcLbvgNc3617wSpI0BHwcSAoh3r3W6wkICLi2sOfnSX/xi2T+4SsIxyH5znfQ+uCD6H0v/aUwICAgYC1ZNBc5lTnFcGa4Xp9ZPoPlWWiyxs2dN/O+be/jrr676Ild3Iu77CPfYPpjHyN83XX0feHzl72XeGU8R+nQPObxJby8BYqE0hdnWpY5OZYj5wh23NHN7e/etLKtkGtDesyPHS3O+xbTchZy01CY9eNHy1lfkFbykJvyjz3nIlclVYWlBIqOE1B2NBkAACAASURBVI5SLo3itLSTar0bWVYh1ulbOutuvA2uvIruu+gqtRhLuequW3XZlRWItPqW1YDz8DyPo0eP8uijj1IsFtm9ezd33HEH7e3ta720gNcBayJ4JUn6a+BtwLwQYldD//3ApwEF+CshxB8JIUaAX5Ik6atrsdaAgIBrE2tigqUvfpHsP38N4XkkH3iA1l97EL2/f62XFhAQEFCnZJcYzY1yKn3KF7bLwwxnhkmX0/UxbeE2Nqc28/7t72dP2x5u676NqHZpW7hkvvxlZv/gvxLZt4/ev/gLlNilbwFTHs6Q+95ZrLEckiYT2pIivKuVWcvje/9wCiEEe2912N57loj7I3hkBDLjvnU2M3Zh8SopvtAMp3x3XFn1j3v2+n1GzHfxNeL+eSPuW1b12Irbb831V/Mz6heLZ9h/4F0Yxk3s2/uPyOr5McwBV4dsNsvx48c5cuQIc3Nz9Pb28oEPfIDu7u61XlrA64i1svD+LfBZ4KFahyRJCvA/gbcAk8CzkiR9XQhxYk1WGBAQcE1SPnWKpb/8K3Lf/CaSLJP86Z+m5Zd/KRC6AQEBa0bJLnE2f5azubP1ejw3zkR+ggVzoT4upITY1LSJu3rvYktqC1tSW9ic2lzfK/dSEa5L6dn95L/3PTL/638Re9Ob6PmzP0UOhS5pHmfJJPu/xzCPLaIkdZJvHyJ6Uydi8SRnv/4/UcZ/yM80lWhqD6OcOQqnXV/INvVDaoNfb387tGyCRM9KsiMjvtK+SgjhcfzER5EkjT27/xI1ELtXnUKhwIkTJ3juuec4e/YsAN3d3bzjHe9gz549yNdwNuCA9cmaCF4hxA8lSdpwTvfNwOmqRRdJkv4BeAcQCN6AgIArQngepf37SX/pIQrf+x5SJELzBz9I8y/8AlpH4E4VEBDwylO0i6sEbWO9aC6uGtsabqU/3s/tPbfTH+9nQ3IDW1Jb6I31olwl8eek00z95n+k9MwzACR/5mfo+uR/uaT9de1Fk+WHT1MZXgZVInFvB/HYD3BHP0f+qWmS+acYBIrxQSK9Q34Y6sAvwS0P+iJXefXjNs9O/DX5/DF27vhTwuHeV/3+1xqe55FOp5mcnGRiYoKJiQnm5+cBaGtr45577mHnzp20tLSs8UoDXs+spxjeHmCi4XgSuEWSpBbgvwM3SJL0u0KIP7zQxZIk/QrwKwD9gaUmICAAsCYnyf7rw2T/9V+xJyeRk0laP/IRUh94P2rq8iwiAQEBAS9GwSr4QrYmZhuE7VJ5adXYtnAbffE+7uy5k/5EP/3x/nr9YtmTrxalg4eY+uhHcdNpOj/5SRL334eSTF709cITFJ+eIfvNUVBkkvc0EXW+hnTgb5HMNKbXhufpnEr8ArF7f4XuG3e+gk9z8Zyd+BtOn/4ftLXdR0fHA2u9nHWJ53mUy+V6MU3zgselUomlpSUWFxdxXX/7I8Mw6O3tZefOnWzbto2Ojo41fpqAAJ/1JHgvlH5OCCGWgAdf7mIhxBeALwDs27fvIvO8BwQEXGt4xSK57zxK9l/+xbdcSBLR226l7T/8BvF770UOh9d6iQEBAa9hXM9lujjNaHaU0ewoY7mxersxrhagPdxOX6KPu/ruoi/ex0BigP54P33xvldc1J6LZ1nYU1Pkv/0dFj7zGbTubgb+/u8J77o0MepVXNJfOUn5xCKx/rMk9srIz/4/iMVTLITu4EdL90Pfrbzpg9vZ0nnpccCvFHPz32R4+L/R1voWdmz/kyveZmm94roupVKpLkwrlUq9NB43ithGMWtZ1kvOL0kSoVCIcDhMS0sLGzdupK2tjZ6eHlpbWwN35YB1yXoSvJNAY1rUXmD6UiaQJOntwNs3bdp0NdcVEBCwzrHn5ih8/wfkv/9vlJ58CmFZ6AMDtP3mb5J8xwNoXV1rvcSAgIDXIIvmIqfSpziZOcmpjJ80aiw7huWtiIImo4nB5CB39d7FQGKAgcQAffG+NRG15yI8D/PwEXLfeITsI9/Ay+cBSLz1J+n85CdR4hcfvyqEoHRwnvwPJhCLI3T2PIQ6/zh8CzxJ51vF/8rZ+V3c9LZBbrx/AFleP4LSshZ54YVPkEjcwK5df44s62u9pMvCsizS6TSZTIZsNks2myWfz5PL5cjn85RKJSqVysvOYxgGhmEQDocJhUI0NTXVRWwoFFpVzu3Tdf2afVnwekAIgcDfAVqIao2o7wi90udbIsOXulXYOmU9Cd5ngc2SJA0CU8B7gfdfygRCiEeAR/bt2/fhV2B9AQEB6wSvVKJ04CClZ56m8OMfUznxPABaXx+p972P+H33Eb7h+uA/5YCAgJdFCMFSeYnR7CgjyyOM5kY5s3yGU5lTqyy2HZEONqc284buNzCYHGQwOciGxIbLThj1SuCVy5hHjlJ69lkqJ09iHjmCMz+PZBjE7/sJYrffjj4wQGjPnkv6++hVXDJfG8Y8Mk1z4q8Ihx9F5HSOR/4PDo/vwFaSdO/ZyLvf0k9b//pLAjU8/H/huiV2bP+jdS92Pc8jm82ysLDA/Pw8S0tLZDIZlpaWyFdfWNRQVZV4PE4ikaCnp4doNEokEiEcDhOJRAiFQnVxaxgGoVAITdOuuhVWCIEtBLZXrV+k7XgCSwgcIbA8v66dd4XAAzwBHgIhwIOGfl+UeUJUx6z01cSbR22ML+K8qooT5449ZzwNws9rEHyCCwlEfz01YegKf+1OdT5HCFxRXXe1dqvP4wpwEfVzHgLbA0fUrvMX7L3I81BvN3weDetqHLta0F4ePYbGgTesj3CEK2WttiX6MnA30CpJ0iTwn4UQX5Qk6SPAt/G3JfprIcTxtVhfQEDA+sIrlzEPH6b49NOUnnoa89gxcBzQNMJ7dtP20d8ifvfd6Js2BSI3ICDggnjCY6owVXc/HsmOMLI8wkh2hJyVq4+LqJG6xXZLagtbm7eyuWkzTaGmNVz9+QjPozI8jHnwIPbUFKXDhykfOYqwbZAk9A0bCO/ZQ/wnfoLYm+5GiV3e/rD2XJHsl76FkXuEeOci+vKPmIy9g0dHH8DR29n3zg3svLN7ZT/ddUY2e5jZuYcZ3PDrRKOX7gHoCYHpeZTclWK6HiXPo+wJvKpQqYmZusipCpYV0ePXQoDtOhRN0y8lE7NcpmSWKVXKlEwT2/VAkhCAouuEkl3onYMYoTC6YaAZBqquIysqC6zcx6vepyaGXFPglWxcYeOR90VXw5pqAsltuL4mJGvzeI3PQYN4bRSy6ziQUAJkya8lJL+WQK6elernauOk+rEkrb5GAuRzrlEkCUUCVZLqbQUJudaWJOTqOE0GBRm51l+9TpMk1OpxbX65ut6ao4S/PmnV88j4jcaxK2tfeQ4a1g/nP1P9s2m4F0BCvXrZ0dcaSYh1/FN6iTS4NH94eHh4rZcTEBBwmXiVCuVjx1YE7pEjCMsCRSG0ayfRm28hcsstRG68ATmyti6DAQEB6wvLtRjPjfuCNjvC6LIvbsdyY1TcFXfP5lAzQ8khvzQNMZgcZCg5REekY929OBNCYI+PUz55CnviLKX9BygdOoSXzfoDFIXQjh1EbrqJyE37iOzdi5JIXPF9y6czmA/93zRJn0NIYHkGx0v3sb/yQa67u5cb7usnHFvfFtPnX/g4s7MPc+cdT6Gqq0W/5XmMmxYjZoXTpQpjZoWZis1cxWbOssk7HqbnvarrlYRAahBNNeEkV/ukqijy+3wxJTeIqppokqtCSJGkhvlWrj23T67Op6y6XloRZ/jX6FVxpsu1WkaVQJdkVFlCk0CTZbSqkNNk6bz26uv9uib4JBqf6/y11J53Rbg2isDzRV/AtY0kSQeEEPtedty1JHhr7Nu3T+zfv3+tlxEQEHARCCGwJyYwjxzBPHIU88gRyi+8AFUrRWj7diK33EL01lsI79172VaKgICAawdPeCyUFlb2rM2P14XtZGEST/giRUKiO9ZdF7M1cTuUHCJpXHxW4lcTN5fDGhmhcmYEa3SE8qlTlI8cxa2JW0AfHCSyby+RffsI792H1tN91b7cl3IWUyfTlJ88ydDCHxNVfsRk5Xp+LP02ffu20bstRedQct1adBtxnDw/fuJOmpvfjDb43ziQLXGyWOZMqcKIWeZs2cJt+BrcrCn0GDodhkaHrhJXFSKKTESW/VqRiSh+X1SRMWTfqofnUcjlWE6nSS8tsry0xNLiIvnlZV/AArqq0NbSSltrC83JJKlUE83JJppTTcSiUTRFqYrK149IE0LguQ52pYJTqeDYNq5t4VjVUm27toVr27iOUy1+23McHNvGcx2E5/nux56L8IQ/t+eB8PA8z+/zPISojfMQ1ZcZYmVBfmHFhbhe1fWSqA9dfSw458R5favus2rOC4+/yE/xEsZe2tSRZBNv+w+/c0nzv9oEgjcQvAEB6xInk6F8/ATm0SOUjxzFPHoUN5MBQIpECO/aRXjPbsLXX09k375L2iojICDg2iJn5eouyKPZUcZz44znxpnMT1J2y/VxqqyyIbFhlbAdTA6yIbmBsLr2mdmFEHjFIm46jZtO46QzuJk0TjqNu5TGzaSxZ2apjI7gLjTsyatpGBs2ENqzm/Du3YR27kTr7r4q26pZZYf0TJHluRLF5Qr5dIWZ08u4s+PcFhunx3gYXX6eidYPY/zk79CxMbVuxZjnubi2jee6uI4vfsZKZR6e/C5PFgqcUm4h6/lOrCEJ+hWJfgX6FUGfDP2yRy8eMby6EPJq4qjxuFpsxyaTL7CQzbGYzZMpFPEavk9HDZ14KEQspBM3DGIhnXB9f2NfjFF1b151DNX+C4mo6nhRjdAUtfMr/StzVQXbuffwmy9/z4b+C92vvqSGeS50raiWmoi1KxUcq7LSrlQQ4sot6LKiIMmyXyQZSZL8OGVZRpb94/o5WUaSJb9Pkqn58dZ/siXpvJ/z+vEFxq7uX/EJXplDWjX0QmMv3H/xv2uX/mt5cRdEk028/bd+91Inf1UJBG8geAMC1hyvVKJ8/LhvvT16jPJzz2FPryRf1zdtJLxnD+Hdewhfvwdj40Ykdf1bDQICAq4uQgjmSnO8kH6B59PP8/zS87yQfoGZ4kx9jCqrq/aqrbcT/XRGOlHklXgz4TgI20ZYVr14loWw7NX9trVqjLDt6rjq2HPONV7nreo/Z+w513iW5ecduABSKITSnEJra0ffuBFjaBB9aAhjaAitt/eK/ibaFZfcokl2wVypF0wycyXy6fIq41A0bHFr24/ZYn0RmaL/OT7wWaQbf/6y738pCCGolIqUsllKuWVK2WW/nc1U62VKuWXMfL4ummq1V90HNpNo5tTQLk5u3MlcWw8AKXuR7pGz9E+P0j17llQ2jXSpVjFJxo3EcKIJ3EgcLxTxVYYQyBUTpZRHKZeQKyZyxUS6mO/WUjWSsi6OqjGU9f7quQYB5AubqiCrnZOk6jW1MTWBtbp/laB60Xuu9L/snA3zvtycql6NO9Z01IYYZFUPoep6w7FfK5qOqml+n6aj6DqKqqGoKopWrattWVHX7YuYgFee16XgDWJ4AwLWDuF5WKOjdbdk8+hRKqdOQfWLiNbXR/i6XYR27CC0cyehXbsuaUuMgICAa4OcleN05jSn0qc4NXuM4dwZzuTHyLu+yJKAXpFik9PCxnKcvrxBb1ahPa8gWzaiUkFUKni2hahY/rHl1zURWvu7c1VQVSRdR9Y0JF1HqtXnFQ1J82u51qetnFeSSZTmZtTmFEpzM0rKb1+tPASW6TA3mmPyZIaZM8tk501KudV7quohhURbmFRHhFRXlJaeGM1dUWKZJ1Ae+QhScQZXSuG++f9F374VWjZelbXVEEKQW5hn4ewYC+MjLI6PkV2Yo5hdxswu477IS4FQPEEkkSSabCIUj6MZobpAWgpFeSrayo9DCUaVEADbPIub+CHXS49wnfobGFoHsqogy4pv8asWudEq2HBcsW2m5+aYnp1nfmmR+YVFPM9DkWW6u7ro6emmq7OTvt5eItFo1Yoo1zMd1YToiwnUQKAFBFwdXpeCt0Zg4Q0IeGURros9OelnCD32nO+efOw5vEIBADkeJ3zddb4b3p49hHfvRm1uXuNVBwQEvFp4xSKF6bMMnz3M8MLznMmNMuLMMKpkWAitiLBIWdC3AP0Lgv4FwYY5wcA8hGz/vBQOI0ejyNEIciiMZBhVQWlU2zqSoSMbhi8ua326L0rlc0Wp1ihMX2TcuYL2Km/hcrXIp8ucOTjP9PAyS1MFcou+i7csS7QNxGnuipJoC5NsDddrI3oBa1hhAfFn1+E4reRCv07Th9+D0nrlLtOOZbE0eZb5sRHmx86wMD7KwvgYllnyB0gSTR2dpDq7iSRTRJJJIokkkaaUXyebiCSbCMcTKA1W7qLjcqxgsj9b5BsLWQ7n/fn2JiI80N7ET7U1ETUPc/DQ+xga/I8MDn7kZdeay+WYnJxkcnKS0dFRZmZ8zwJN0+jq6qK3t5ehoSH6+/vR9fWdpCsg4PVEIHgDwRsQcFUQQmBPTWMePox56BDmkSNUhocRtc3tFQVj6xbCu3f7rsl7dqMPDq7bL4kBAQFXhmea2DOzOLMz2LNzlGYnmVg8wxlzglFvnjE9x9mUy0wKRHVPDdUR9GQVNpgxhmhhSO1io9ZFd/smlHAYSTfQujpRmpqqAjeKHIkEIQ5VhBCUi2WmT6WZHl5i6lSaxYksQrgkWgyaOgwSbQbJNp1UZwhZFvV4Vs918FwX4bp4nofnuShmmp7hz2EUF1AtE0VkmJI+w/RWDVtxqjGr7qrrRPXYc/1zwvOqx65/7LpUSiXf7TiXo1Iq1tevhcK0DQzS1r/BrwcGae0fQA+9eHy17QlOl8qkbYfni2UO50oczZucLpWpRX3ujod5R3uKB9qb6AutCNGDh36OYvEMb7jt+yhVq28N13VZXFxkbm6Os2fPMjo6ytLSEgCyLNfF7dDQED09PSjKtbM1S0DAtcbFCt7gf5KAgIBVCM+jcvIkxSeexDx8iNLhw/UkKlI4TPi660i9970YWzZjbNqEsWULcnjtk8IEBARcOV65jDM7iz07hz07U23P4szMspSeYtyaZdIoMt0iMd0MUy0ScynwBqoxfgK6nRgblQ7uiwywuXUbW3r3MDiwBz0UXeOnuzoIz8Mql7HMUrWYVMwStmlilf1il8vYZbM6zsQum3XxWcsu67ounmNX63POOU5VsNq4jovwXtxFezEHi6MXvXp2Jee4o30MQwZL7KPo2Zwt7uT7s1/Dft63vkuyXE8EJMsKslItsowkK8hK7Xy1r3rOiEToGNrsW2gTSZp7emnbMERTe+fLvgR1PMGTywX+92KWg7kSJ4omFW/FKNOuq+yJR3h7e5Lr4xGuT0Ro07Xz5lnOHiCTeZLNmz6OooTwPI/JyUmGh4cZHx9nenoap+o6res6AwMD7N27l4GBAdrb29G08+cMCAh4bXNNCd6GGN61XkpAwGsGIQSVU8OUnn2W0oH9lJ55Frf6tlvr6yN6622Er99D+PrrCW3dGlhcAl43eJaFPTWFMzODk8ngZpb9DLuZNG46g5vJ4ObzuNllmj/4QVp+4Rcu+15CCKglWrJtf7sM10W4HnjVWlT7vHPqxjGeuzLHiyVisv04WDebxU0v4Syl/XpxCSeTYa4JplolppphukVipkNlaq9EzqiJLgUNhX6jkx2JDbytbSuDzZvY2LSRoeQQITX0ks+6XhBCYJdNSrkcZj6Lmc9h5nKYuWq7Wkq5HOV8DsssUamK14tBkmS0UAg9FEILhVA0HVlRUFQVWVFRNQ05HK4eKyiqhqwoICmUsjaFZYdC2kJYoKgqbX1JWnoTNHXE0XQNuZq4R1ZVFEVBVrVqraIo6sp54aBnTiJLAu3sY4SO/AhL28lS4VeRdu0l8bYBthka25WG+NZXKcbUE4IfZQo8PJ/hW4tZ0rZLWJa5PhHmF3ta2R2P0KKpbI2G6DQuToiOjX4WVU2RTu/kmWe+ypkzZzBNE0mS6OnpYd++fXR3d9PR0UFra2tgwQ0IeB0QuDQHBLwOsWdmKD75FMUnn6T45JO4i74FV+3sJLJvH9Hbbyf6hjegdbSv8UoDAl45hBA48wtUhoepnB6mMjyMMzuHu7yMs7iIMz9/wU0LlaYmP+lQcwolnqD44x8jGQZdf/BJvFIJr1DAzeXxCnncQsHvKxbxiiW/XSoizPKKKK0K1Evbe/HKkRMJpOYmTg+FOdRnc7KpzHA4S0Gq1Mc0G81sSPrb/dRLYpDuWPeqrMjrAce2KddFaoNorQnaXO145dyLJUmSFZVwIkE4Xi2xOHokihEJo4cjDSWMEY6g1epQuC5wVd24JOFYyFQ49tgkx384RaXkYERU+rY3M7CrhY03tqMZl/h5Tx9GHPo7OPbPSOV0vbvo3kNW/W0S9w8SvblzTRIoWZ7H300v8bmJBc6WLWKKzE+0JnlbW5K7mxNElEsPiXEchxMn/omFxU8wPraPs2e3E41G2bRpE1u2bGFoaIhw4I0UcAkIIfAEuJ7A9QSO51VrsVK7AlcIXM/D8UR9K19PrGzfJKpbR4nqnPW63tfYX/2/yfPn9byVcd6qbaYarj13/sa+c+5b27LKq67Rq291tfJfUG1s1FB5z76+V/Mjv2SCGN5A8AYE1BFCYB48SPbrj1B88knss2cBUFpaiN52m19uvQWtp2eNVxoQ8MogbJvy8eOU9u/HPPYc5Reexz47sUpkKi0taD09KE1J1OYWtN5e9L5e1K4u1JYWlFQKJZE4z8vBPPYcY+95z3mCVY5EkOPxejzqqtjUkOEnSqonUWrIAKyqICug+O6j9VqWkRQZZOUla+ncbMKNSZg0DVNyeHJxPz+YeozHJx8nU8mgSAqbU5vZ2bKTXa272NS0icHkIEljfeyDbZfLpGemyM7Pkp2bJTs/R35pYUXY5rJY5otbXkPRGOFE0heviQTheHKVoI3UzlXP6+HIqyIEy0WbkcMLnN4/x+QLGQSw8fo2dt/TR+fGJLL8Emso5yA/C56NmNiPmDyOWDiNtHwGqTSJJBw8YVD29lFy7wYjgdbbhLL1DUT2dSOH1sZb59+WcvzuqUnGyxY3J6P8+55W7m9NEroMket5HqdPn+bw4cOcPj3Mjh0Po+sWQvwXdu/eS09Pj78fa8CrhusJLMfDcjzKjkux4mDaLpbjUan212rLdbHdRvHoi8a6oHRXhORqoenVz6+M96rja32rj93GcQ3ze6LxfucL2tczPU1hfvyxe9Z6GS9JIHgDwRsQgD07S/ZfHyb7L/+CNT6OFIn44vbmm4jccgvGli1BcqmAaw4hBPb4OMVnnqH07H5KB/bjzM6B56e60fr6CG3fjj40iNrahrF5M8bmTVeUSbwyMoKwbZRYDLlapHXiKlm0i5xYOsHBuYM8O/ssB+cPYns2CT3Bnb13cnfv3dzecztxfe23CauUiiycHSM9OcHS1ATpKb/OLy6sGheKxoi3tROtZvFdEasrQrYmYkOxuO8qvE6wTIfRw7OM7R9j7tQ0mijR1OSyYVuY/k0a0ZANlbxfrAJU8ojSMqKwjLBsyE8jm9NIbnHVvJ4wcEQXjujFlToh0YUz+C70vi60nhhaVxTppQT0q0DJ9djz4+foNDT+y6Ye7mmOX9aLBdu2OXz4ME888QSZTIZIJMKOHTrhyGfYtOn3Gej/0Cuw+msfIQS5ssN8rsx8vkK+7GDaDoWyQ6Zkky/b9fd6Rcvh+Zk8xYpDyXIpWg6liovlei99k8tAUyQUWUKV5WrtHyuyhKpIaNX+2rEiy/UxWvVYkUBVVvpVWUKuz7W6X1GqtVQ9p0ir7tt4jXzOeqo7UyFJtXZj38o+yHJjf3Xv4uouVsjSypyy5Jfar8mq8efMQ8M8tWtqYzlnXf68K/er3nplz2X8jO/J8PqOaQ+SVgUEvE4Rnkfxxz8m8w9fofD974PnEdm3j5Zf/VUS9/0EcvTaSBwTEFBDuC72zCz2xFkWP/8FrDNncBZ8gaS0tBC56Sb0BwYIbdtOZN9e1NbWq74GY2joqs95OZSdMi+kX+D40nFOLJ3gucXnGM2OIhBISGxt3sr7tr2Pu/vu5ob2G1DltfsaYFsV5s4MMzN8krmR08yPnSEzMw2AjEcopNHW2c6mTd003349Te1tJFIpYk1xdE0F1wLXBs8Fz/GLKINXBHsC5m2YdVbOeY4/Vrj+yw/hNhw31K5dHWufc9xQ6vdtOOc6DdetHAuvGjftOiAcNOGyVRJsBWhp+EBOV0sDAhWPCMKL4hEBFDwRx+bNCKMNEetBiRqItm3IPTtQUhH0lIGSCq25uL0QX55ZIu96PLS1j9uaYpd8/fLyMk899RRHjhzBNE16enq499572bp1KydOfITMchO9Pe95BVb+2idr2mRLNlnT3/Pr5FyeA+NpcqaD6/mWzv3jGdJF60XnCGsKtR8rRZbY2Z2kuylEWFOJGgpRQyWsKWiKjK7KhDSZqK4S0hQMTcZQ/aIrCrrqj1FlCU2RzxObaoOgDAi4Uq4pwRskrQp4PWPPzJB9+GGW/+mr2FNTKM3NtPzSL9H0796N3t+/1ssLCLhqCNum+MwzmAcO4BVLFJ98ksqpUwAoba1Eb72NyN69RG6+yd8iaw1iFF9pbNdmIj/BaHaU0dwoI8sjnMqc4vTyaVzhJ5dqDbeyq2UX9w/ez86Wnexp2/PquSiXc7A8DmbGL+UcTmmZwthRzLlxrOw8nplFkxwGZJctGhgpUJs9FGEhiYasxNlqOfUKrVVSELKfLApFBUkFubFWEFL1WFJAUhGSAlTPEQZUBApCKHiehFORqrpYwrVlEAqypCDLKhIKeP51HmGECCOI4IkwQgpDKAGRJFIsgRKPIkc1lLiO0mSgpkKoKQMjYSApr52f6yP5En94ZoYfZPLsjoe5NXlpL16Xl5d5/PHHoFp7rgAAIABJREFUOXToEADbtm3j5ptvZmBgAEmSKBROsbD4XTYM/BqK8vqO07Vdj+dncpyYzmG7HpYr+PqRaY5MLJ83tjmqk4poqFVPr9s2tnBDXxNtcYP2eIhkWCOsK0QNhaawjq4GHmEBr00Cl+aAgNcwwnXJf/d7LP/jP1J84gkQgsjNN5N633uJv/nNSLr+8pMEBLwG8CyL4g9/yPJX/5nCD39Yd0+WIxHUtjZSH/gASlOS2F13oSTXR9zpxeAnJ3EoOSXyVp6clfNLJXdee7myzFxpjrniHIvmYl3YAnREOtjUtImdrTvZ2eKX9kj7KyP2zWXIjEF2AgrzMHPEjyUtzEJ+znfFtYsXvNTxJExXx1PDyKE4SqwFPdmGbCRBDiHkEEIyEHIYIYUAAyEUhFBBqH7bUxGegucpCFdGuArCkxCOhHAlEArCA+EpfnElhCcjXBlcCc+TwJX8a1zArWZ1uUo4QuAIcAR4ioQW1Qg3hwg1GyghFclQkQ0FOaoiR3WUqIYc05CjGnJYXZeW2cvlVLHM/xid4f9byNKsKfxGfwcf6mklfJHxutlslscff5yDBw8CcOONN3LnnXeSbPgdF8Jl/4GfxTTHuPWWb6PrLS823TVHoeJwai7PwfEMjid4fibHv70wT768OhnbhpYI797bS3s8RCqqIwFNEY29A6lr8oXgq4UQAsv16jHLbjXRVC22uFhxqDieHydcjSeuOC5l28PxVvo9IXA9cC+QFMvz/MRSL5aYyqsnpvJPeuJCSa4a+6sJq6pW/XryKk9Ur6km3BL+z8h//+nr1vATfnkCl+aAgGsY4TjkvvUtFj/3eawzZ1C7u2j9tQdJvvOdgTU34JpAuC6lp58m/93vUXj8cezZWbBt1LY2mj/4QYxNG0k88ACSpuF4DrZnY3s2y56DU5zD9mwcz6mfczwHRzjY7uq2Lfxj27VxhHN++0LzNNzv5ca8XNsRF84S3IgqqSSMBAk9QUe0g1u7bqUz2lnPnrwhsYGo9gqEKuSmYeogzD/vJ0YafwJmjyKVs6v/rYwUItyFp7fhxYcwFUGhIJNZ1nCcKII4RqSTUKQVLdKFqoTAEniWi5hxYeoy1KYMkqogaVK1lpFUGVSpmrhLAkVCkqvHiuRbRKttFL9/ZUz1nCqBLGE7HlbFo1JxqZQdymUHs+RilmzMokM+W8Es2nj4XxBlXSHWGiLeHqZjsImuTUmau6Poa5QYaj3wV5ML/P7wFGFF5qMbOniwr524enGx1Nlslscee4zDhw8DvtC94447aGpqOm/sxORD5HKH2LnjT69psZsv2zw7liZfdkgXLb5+ZJpDZ1dbbVtjOvft7OTurW3s7mkiUs3s3RzR19Q12HI8bLcxWZRHyXLJlx0qjltNYOWLRtN2qdgedjXplFNNglVxXCqOh+14dVFWE5ii1vZW93vV+zUmpqqd9zyq2ZVX+ladF761vFGANmZr9jxekXjli+FCcbp+LO5KzG4ttrceLyytxOjW4ndrMcK18XItnrdadyZeG1vMXQyBhTcg4DWEcByy3/gGS3/xOazxcYzNm2n9tQeJ33ffukmQExDQiOu5lN0ypmNi2iYlp7TquN52TPKLMxRmJihmF8mNDVOyiliGgtPWhBXVqER1LEPBdP3xZaeM7dmv+DOokooqq2iyhipfZlvSUFFQUNBQUYSCKqlokoqKSkg2iKtx4nKMuLJSEnKckBRCEoCHv32E/22vWuO3RWNfrc3qPnHONQ3zyJVZ1MJBZGsGrGWM4vdQvNWJohzRRdm9EUd04IhOXNGORwxXdFBNt7L6315ykXUFJayjhDQkQ0EyFGRDQdIVJF1GNlQkQ0bWlfp5SVeQVLkuYiXtnLaqXJQ7r2O7VEoOlaJDpWRTMR3/uGRX63PbDuWCRSlv+5/NOYSiGpGkTjSpE0uFaOmN0dYXo6kjSjiuBZayKguWzR+NzPD3M2l+sjXJp7b20aJfvPA/fvw4jzzyCLZtc+ONN3L77bdfUOgC2HaOJ568i0RiD9fv+Ztr5t+gbLscn85xdHKZ49M5xhaLHJ5YXpU1eGNblAf29NCbCnP31jYMTSGqK1ftM6hlWbYdX6iWbZeZbLlucZzPl3FcwXTWZLnk/x1OFy0yJQvTcjmbLiEAx/XIlK7O32lN8eN9GwVbY2InRZaQZVAkP/ZXkVbOq8rKGP/8iuBb6Wu4RpbQ6omwZBQZVFleNZdej0muxiMrK9erikREVzFU2b+uuq6QphDSlFVjG5+jdu15SatYSToVsEJg4Q0IuIYQQpD/7neZ/9SnsMfPYmzbRs+nP038LfcGWZYDXhVsz2bJXGKhtMB8aZ4Fc4FMJUO2kmW5sky2kiVbyZK38qsEreW9eAKUCyEJgSEgNKARibQSiaWIaFGiapgWNURYDddLSA1hKMZFCU9N1nyBqVT7a+2amD2nrbgycsFDKnh4eRuvZCNsD2F5fm27fl1paNsenu2B7eKdMxb3Ul8um4BJiQVKl3jlhT9YQK5aM+UCunQKWS6jixOExBOozNaHCiQs4zbM6AdwY7vw4tuQQpG6GFU0mWJ2gfmJM0ydeYGl2e/iCJtIcxM9u3ex4cYb6d65E1W/Otk9hRCUizalrIWZtzALNuWCvUqwlot2tThUin6f67y09UUzFIyIihHRMCIqidYQ7QPxqqg1iCYNIkndP04YKFrwt/almChbfGp0ln+a9ff8/fX+dj421IVykV/QLcvi29/+NgcOHKCnp4d3vetdNL9M5vSJyS/hODk2bfztdS8EHNe3XjquwLQcprJlxpeKjC4WmV4uM1fNjLxYqJAt2XUv+6iukAhr7O5N0t0UJqQpSEBIU5jLl5nJmjw1stTgSuvVt/o513opxIpVs2z7FtOy7W8NtGL5FFSq1taLQZYgZvhyIh7SaIsb6IrM3VvbUGQZWYKORAhDlatZk/06rPnPZVSTV2mKLx7DulIXibUMzIbmi8oggVXA5RII3oCAdU5leJi5P/xDik88ibF5E72f/Qyxe+4JhG7AVaVoFxnLjjGSHWEyP8m8OV8Xt/OledLlNOICgY4xLUbSSJI0kjQZTXRFu+piNKJG6uLUkHW0xSzy+DTy6XF4YQR1IYNR8QjJBs2799J865003XQrRl/fK5ZNXDgebs7CzVu4uQpuzsLLWbj5Am7Ows5ZlHMWovwSrsaytGJ1rFkjdf9YDqtICR1Vk5E1ZWWcJiNpvlVTUqvut7Lku+ZKVV80ubp9RL3tn19p+65mkiKt7qsKWWSqdUNfJQvZMaTMOMwdh5Pf9Guqll5Jga33w+AbYeAN0LYVSZIxFA2j4ZHtSpnxY0cYOfA0IwefpbicQZJkurduY/u73sLGvbfQ3NN7UaJDCIFddjELFmbexizYmHmLcrX2j+2qtdWilLPwnAu/MFA12RetUY1QVCPVEcGIrojYUIOg1SMqoYa2chn7vgacz6Ll8Ofjc/zt1CKSBL/c28bPdbewJXrx7pCjo6M88sgjpNNp7rjjDt70pjehvIzXkuuaTE4+RGvLPcTjO6/0MV6WrGljux6eJxhZLFJxPGazJosF/6We53mMp00W8mXmcxUqru9+a9ouhYpDxfYuK1S8aLkULZeFfIXj07lVW+A0WgVlyd+Cp7b1Tm17HllqsHhWrZayJNEWN3xroyrXLZi1bXg0RSIe8rMra4pcLRJdyTBa1buiLW5gaArJsFYXvAEB65Vr6ic0yNIccC3hZrMsfOazZL78ZeRolI6Pf5zU+96LpF5Tv7YBrzIVt8KJpRMcXzzOaHaUsdwYo9lRFszV7qvNoWbaI+20hdvY0bLDb0fa6Ih00BZuoy3SRtJIosnnW/GE41A5M0L5+RNUnn+e8oknKZ84gVf0ExmpHR1E9t6CfvsA4RtuJHLzTciGcd48l4NXcXCWyrjpMk6mjJupVOuyL25LFxCyiuRnwU3oaG1hjI1JlIRR71MSOnJEq4ta6dUWSp4LVtHfk9Uu+e1KyT+2StW+AlQKfl1chOlDfmKp8jmZWQduhzf9n9B/K4SbIdoK8c4L3ja3tMiZZ5/mzMFnmDxxDNe20Iww3Vt3s/stN9CxcTeqFsW1PZZmXObGZ3BtD9fxcGwP1/awyk5dvK4IWftFra+qJhOKa4RjOuG4RqorSjSpE0kaRBI6kbhOKKb5JaIFVtc1pOC4fG5igb+YmMd0Pd7b1cxHN3TSE7r4ZImmafLoo49y8OBBUqkUH/rQhxgcHLyoa2dmvoZtp+nv//DlPgKFisNCvoLrCaaWTQplh4lMiRdmcgghWCrajC4WqThuXdheKjVrbEtMJx7SiIdUmqM6rTGd9rjBhpYYvakwYX1FXEYNhZih1o+D7XkCAq6MIIY3IGCdITyP5a9+lYU//TPcXI6mn30Pbb/xG6ip1FovLeA1yHJ5mQPzBzg0d4hD84c4kT6B4/miL67H60mPBpODDCYG2ZDcQF+8D125uC+tzuIi5ePHMY89h3nsKM70NNbZCUSlAoAUCmFs3UJ4505f3N54A2p39xW5H3oVF3u6gD1fws2UcdJlnEwFN23iFVcLWslQUFMhlJSBkjxHxCYMv77SzLieh3BMrHweK5vDyudwi0Vcs4BXKeKVi0h2yRenTgnJNpGcErhlZKeE5Jqobh7NWUYWZWRhIQsbWVgooozCxX/RFkg4hFlkG3l6yItOCl4nedFB3uvEEhFE1bVRCD/OV1Rje123jFuZwbEncSsjCHfe/wzlJLI25Be1F0m6yHwBku82HI5phOM64ZhGqFrXBG2o4Vw4rqMZQS6C9U7OcfnCxAJ/PbVA2nb5qbYkHxvsYvMlWHQBMpkMDz30EMvLy9x2223cfffd6Be5s4AQLk8+dS+almLf3n9e9fdECEGh4pArO2RLNsumxchCkbPpEqblUijbjCwWGVksnpfNuIYs+WHvL0ak6mbcHNHpTIZojup1EZuK6LQnQnQmQrTHDZoiQXx3QMArRRDDGxDwGsQaH2fm936f0jPPENm3j45PfJzQtm1rvayA1xjZSpbvjH+Hb5z5Bgfn/e08NFljV+sufn77z3N9+/XsbttNS6jlor+ICSFw5hcoHz9O+cSJeu3MzfkDJAlj00a0gQGit99BaOcOQtu3o2/YcEVeCZ7lYs8UsSfzWFMFrMkCzkJpZRsZWUJJ+fuT6jtbUZpDqA1FCqsv/YyuDcX56l6xy2CbUFryraSVPF45i53N4hSyeGYOynmwCshOAcUtoooSqlRBAoxquRgcoeGIEA4GDiEcIuSlJA7teJKGh44naThyGFcK4xKqtz05hCNF8KQQrhLGlSN4cghXieBJkWqcru/yLFVdpg0ZQlKtH5AEleIipfQYhcwYhfQ45Xz13xKJeOsGmnvfTvuG3cRbu9EMFUWVUTUZpVrUxlqVUXVl1RhZkYIv+tcIU2WLf5nL8PD8MieLZWwhuLs5zm8PdnJj4tLDD5aWlvjSl76EZVn84i/+Iv3n7C5gVbdyWS7ZTC2XyJo2+bJDvuyQNW0U6wds1s7y/el38+nDz5A1bXJlm6xpr4p/baSWpfZCQlaWIBXRaY0btMUM+prDtMYMWqI6zbU6qtMS1UlFdbTAHT4g4DVFYOENCFgHCMch/aUvsfDnn0HSddp/57dpeve7gy+LAReN67n8aOpHPHzmYR6beAzLsxhKDnH/4P3c0nkLu1p3XbTVVgiBMzND+cQJzLrAPYG7uOgPkCT0wUFCO3cS2rHDLzt3oMRiV/QMwhM4CyUqYzmsiTz2ZAF7vujHmgJyTEPvjaP3xtB642idEZSEsdo6K4QvWEtLUEqDmV6piwuQGYflcXAqvsU1N4mfzvjCOELH8sLYIowlIlgihCtHEVoMT4uBHkPSo0ihCEoohhyOokZiKOEYUjiGEo6iRKL1c0ooihyOIb/KoQmWWWL2zDDTJ59n+tTzTA+/QKXqYh6KxenavJXuzdvo2rKNzo1bMCKRV3V9AeuPcbPCtxezfGsxy1PLRQSwNxFhTzzCv+ts5obE5f2MLCws8KUvfQnbcem5+T5KSpyK7XFqLs+ZhQLTyya5l4qhR/ChHV/B8nS+M/EeZEnGE+B4HqZ9frIlCWiNG/SlwnQ1helpCtOZCNEWN+hMhuhNhWmPh1ACl+GAgNccF2vhDQRvQMAaUz55kpmPf4Lyc88Re/Ob6fz930fraF/rZQW8RnA9l2+PfZvPH/08I9kRUkaKtw69lbdvfDs7mndc1EsTe3qa/KOPUj5xAntunsrJk7iZjH9SUTA2blwRtrt2Etq69aoklfIs3zXZOpunMprFGs9VY2wFSsRF7wS9XaA1e2hJG1kuIVVyUMlBOQvlaruU9gWumfb7zcyFb6gY0NSPSG2gYuuYJci67WQKCRaXVEw7iiN0KiKBnOgg0t5CS3+Klu4oseYQsZSfuVfV16/brVnIk56cYGnqLOmpCZYm/ZJfWonRbuntp3vrdro3b6N763ZSXT3By7UAAEZKFR6ZX+brCxmOF8oAbIuGeHtbEz/TkWIwcnmx9mcWCjx+aoHlmXGWjv8Iy5P4trWVZRGuj+lvjrClI05n0kCVJNIlm7Lt4niCrGkzlTGZz5fPs9AmQirdVSHb1RRaaSfDdDeF6EiEAotsQMA1SiB4A8EbsM7xLIulz32exS98ASWZpPP3PuHvpxt88Qy4CBzP4Vuj3+ILR7/AWG6MTU2b+JXdv8K9A/deMJFUDXt2ltLTT1M+cYLKyCilAwcQJX/jG7W9Ha2rC33zJkI7dhDeuRNjyxbk8MqXUoSouv9mYXHYt5rWLapLfv/Od0L3DatFaTmHV1zGnV/AXVjCS2cRpTwyJSRKKFoJWTGRKYJbQPJeysIDSDKEkmAkINIMkRYIp0CPQts2iLZBOIUIN2O6MTJZg/SixOSpZaZOZqhUk1cZEZVUZ5SOwQRdm5K09saJNRvrNoOvY9sUM0vkFxfJLS2QnZslOz/L8twsmZkpStmVJFWqYdDc3UtLbz8tPX10DG6kc/NWQtErs8QHXBssWg5H8iWO5Esczvn1nOX/XuxLRPiptibub01etsj1PMF3TszxD8+e5QcnF+iXM9ytnSYnxWi97o3s3tTLzq44S0WLwxPLDM8VOL1Q4ORsnpLl1uepCdrNHXEGmsPYub8jLp/h3jd8ht7mpiBDcEDA65hA8AaCN2AdYx4+zPQnPoF1+gzJdzxA+8c+FiSlCrgohBA8PvU4n9r/KUazo2xJbeHBPQ/y5v43I0urRZpXLlM+dgxrYhLzyBFKTz+NNTYGgBQOo3V3E7n5JrSubhJvfSt6b49/YaUAc8/B/Anf9XfptL+VTW4a8rPgVs5fmKz5olOSID/zks/gCQOUEGhRCMWRYk1I0ZQvXkOJap1c3T63T4/697rA51PIVFicLDBxIs3YsUXyS+X6+VjKoG97M73bU/RsSRFJ6OvmJZPr2BTSafJLC+TTS+QXFyikl/zjpUXyS4urBC0AkkSsuYWm9k6aOrto6emjubePlp5+Eq1twfZlr3McTzBRtjhdKnOmVGHErHCm5JdZywZ8l99NEYM98Qg3JCLc35q8pEzL53JyNs8TZxY5Npnla4emaI0ZvH9nlOJz36O9o4P3f+DnmMjafPPYDF8/Ms3ZtP/CrTVmsKk9yrbOBNf1JNnWFWegJbpK0E5O/h0nT/1ndmz/Y7q63nVFn01AQMBrnyBpVUDAOsQrlVj49J+Tfugh1M5O+r7weWJvfONaLyvgNULRLvIHT/4B3xz9JhsSG/izu/+Me/rvqQtdt1DAPHSI0v4DlPbvp3z0KML2v9TK0SiRm26i6Wd/luitt2Bs3eqLISFg5jBMfQvG8nDkK7DwAjSmfVHD0HMj9N0M8S6/GDFo3QKxDoi0INQo9ryJPZGGE/+Ks1TCzigIEcGToijtbWgbutE3d2NsbEW+Ctl4Pdcju2CSnimSni4yO5JjbjRbt96qmkzv9mb23NNHc0+UZGuYeEvoVRe4wvMoZpfJLy1QWFoin16ikF6kmElTymUpZbMUMkvni1lAD0eIt7QSb2mlfcMQ8ZY2Yi0txFvaSLS2kWhtR73IzLYB1y6LlsOZqqg9XaowYvrtMdPCbjBsNGsKQ2GDNzbH2BoNc308zO54hLh65b+Prif47L+d5tPfO1V3O/73tw/y4K3t/O3f/DXhWILyhjt4y6efYDZXRpbg9k2tfOSeTdy1pY2OxEtnea5U5jl95o9pbr6Tzs6fueL1BgQEvH64piy8Dfvwfnh4eHitlxMQsIrik08y83u/jz05SdP73kv7Rz96xUl+Al4/PL/0PP/psf/EZGGSB/c8yC/v+mWkbJ7SgQOY+/dT2n+A8vPPg+eBqhLauYPIvn1E9u3DGBxE6+1dnS25sAAH/xaO/iMsnlrp77oetr4VuvZAx05f2GoRUFfcGoXtYc8VsaYK2FMFrOkC9kwRXP//E8lQ0LpjGIMJjA1J9IE48hW6HdYst7MjWSZfyDA7kmV5roTnrvwfluqM0LW5ibbeGM09Mdr7469KvK0QgvzSAtn5OXIL8369OE9uYZ7cwhz5pSU8d7WLtqKqRJpSRJNNRJJNRJKpurCNN7cQb20j1twaJI8KOI8Fy+bZbJGjeZPnCibP5c26tfb/Z++8wySpyv3/qc65e7p7cp4NM7szm5clLjmjgoCoqIgXDCjqvciPq6KPiIpexQiIEQOiCIoKCiw5LmnZnGbj7E6e6Zy7K/3+qJ60AdhldsJufZ7nPKfq1Kmq0z093fU973veF8AiCDTYrcx0WJlRLDMdNpocVvzmI2Pn2DWY4oYH1rG2M8b7F1Vz0/nNuKwmBCnPPffcw46EgTeNLXTH85w8M8AlC6s5rbmUMvc7T2XUvu0Wurv/wgnHP4HDUX9EXoeOjs70Qndp1l2adaYIciLBwA9+QOzBv2Gpr6fy29/Ccdxxkz0snWmCqqrc334/P3jjB/gMLm5On87MVzop7NyFNFDMk2q1Yl+wQBO4xy3FvmABhgMJpXwS1twHyR7Y9E8tWnH9yTD/Cph5jiZqh9ySASUjIoVzSOEs4mAWaSCDOJBBGswO5/YQbCYtanKVC0u1E3O1W0sH9C4jnhZyEr074nRtjdCzPUakN41U0KKvWmxGKmf6CFQ7Kal04q90UlLhnJAcrplEnHDnHgb37iHU2UGocw/hzj0UstmRToKAy1eCp7QcT2kZnmAprkAQd6B0WNTa3Z4p40qtM7XJyAovRpM8FU7wSizFjoy2pMAowCyHjTaXnVaXndlOGzMdVmpsFowT9NnKiTKJnMiHf/Uq4XSBWy9u473zKxEEgXQ6zS9/fx9P9lnZIgZpCDj43mXzOaEpcMj3yecHWfnKqVSUX8KcOd89Aq9ER0dnOqK7NOvoTDKqqpJ84kn6v/MdpFCIwLXXELz+egy2dz6jrXNsIqdSpFeuJNy+ge8bn+QlZzeLdxv47L8G8WQfRG5uxnnyyVgaGnActxRbWxuGt3JrzUbhtV/Bqz/Xcs2abFpQp2ufRq1egpIWkQayiIMZpIFdiP0ZxP40SnLEaoQARr8Nc5kD+5wA5moXlmoXxhLruxJuqqqSCGXp352gf3eCcHeKeChLKpoHFQwmgYpGL3NPqaKk3EGwzk1ZnRvDBASVSkUjdG/dRO/2dkKdewjt7SAdG4kAbXO5CdbVM/fUMwnW1uMrr8JTVoY7UIrJfPDAYTo6b0dvvsCToQRPhBO8FE2SU1RcRgMn+Fx8sMLPCT4XbS479kkMrvb0ln5ueGAd8az2PXHP1Us5s6UcgHg8zpfu+hvPJipRMHDtKY186dxm7IfpcdHZ9QcURaS+/tPjNn4dHZ1jB13w6ugcAfK7dtH/7e+QXrkSa0sLNXfdhX1e22QPS2eKoYoiuU2bSL/+BlJfH3IyidTbS2bdOnYFRH50iZGwU+AT6/x80H067ttOwHH88Zj8/nd2AykPsb1wz/mQCaE0nU9hxmcQlVlIg1nEf2eQBl4tpgLSEMwGTOUObLP9mMsdmAJ2TAEbpoANwXx4D6uFrEQmWSCTKBDrzxDuThHpSZMIZUnF8iiSZi02WQwEa1xUzyrBU2qncoaXyhneCUsDFB/op3PzBrq2bKR76yZifVrwLZPZQqC2joYFSwjW1hGsayBY14DTV6JbaXXGBUVVWZ/M8kQ4zpOhBBtSmsdAnc3CR6sCnBvwcoLPiWUKBCETZYWfPb2dO57ZQVu1hxuWzKbO7+CMFi2dXiaT4bq7/s3KRAVLa1zc9oHFzC53H/b9JClJd/efKCs9H4ejYZxehY6OzrGELnh1dMYROZUmdPfPifzhjxjsdspvvpmSD39o7NpJnWMSVRTJbW0nu2Y1mdVrKOzaRaGzE7XoCmvwejF6PBiDAV781HH8wruagD3AH07/IQv+a8Eh3UuJ9KM+9nUM2x9AQEURXIT4GYXNTbAZYDcGpwlTqQN7WxBTmQNzmQNTmR2jx3rI7si5tEhsIEN8IEs6liebLJCOF4gPZokPZsinx65fNVkM+CudlDd6mVFixVtqp7zRg7/SOSGW2yHEQp7uzRvZvfZNdq9bTbSnC9Ast9Utc1lw9gVUz2mlrGEGRv1/WGecycgKL0WTPBFK8GQ4Tn9BwgAs9Tq5uamSc4Iemh0TH2TtYKTyEn3xHJ++dxU7B9NcsbSGWy9uwzZqIiydzXPlTx5lXcLH+bO93PHxk951Dtye3r8hSUnq6z/1bl+Cjo7OMYr+C66jMw6oqkriP48y8P3vIw0M4L3sUspuuAFT4NDXKulMb1RVRRoYILdpE7lNm8lva0fs7SO/c+ewuDVXVWFtbsZxwvE4Fi/GcdxxmAIBUoUUt7xyCys6VrC8ajm3nXIbPpvvLe8npwoU9iQpdCYo7I1i6bsft3wfBrKk5QuRjeVI/lMw187HUeXSrLalDozOt3ejDloKAAAgAElEQVS5VVWVXFokFcmTiuZIRbU6WdzXxK2ImJfHnGcyG7B7LHhL7cxcUo4naMPpsWBzW/CV2fEE7O96je/hkoyE2LnqdXatfp3OTRuQCnmMZjO1c+ex8JwLqGtbQKCmTk/no3NE6M4VeCaS4IlQghdHuSqf7ndzbtDLWX4PAcvUejRb1RHhb292cf8bnQC4bSZ+fdVSzplbPqZfLJ3j8h+vYEfKzkfme/n2h09+12JdVVW6u+/H41mIxzP/XV1LR0fn2GVqfavq6EwzVFkm+cwzhH/zG3Lr1mNrbaXmjp9hX3BoFjmd6Ykcj5Pb2k5+6xZyW7YidneT37ULORzWOhgMWBoaMFdV4bvsMhyLF2FfvBhzRcXY6ygyD21/iDvX3EkkF+G/F/83n2j7xH55dQHkZIFce5T8zhj5vQnkcA4DUUzGHtyuJ7ErTyEFTkZa9nVsLYswet96jW0+KxHuSjK4N0UilCWbEskkCsMCVxaVMf0NRgGnz4qrxEp5gweHx4rLb8Vb5sBbasdVYsVim1o/LWIhz843XmXjc0+xZ8NaUFW85RXMO+tcGhcupWZOK2arvrZeZ3yRVZXtmRyrExlei6V5JZZib64AQK3NwkcqA5wb1FyVrVNwguWVnWF+sGIrq/dq6bIuXVRNW7WXU2eXMrNsbIaBznCaK+58hr6sgesWO/nfK04ZlzHEE6vJZHYwp0UPVKWjo3P4TK2nEh2daYKSyxH/5z+J/O73FPbswVxTQ8Wt38R32WUIxolZb6gzccixGNlNm8hv3Upuy1by7e2I/f0oicRwH1NpKea6Olynnopt7lxsra3YWpoPHC15FCt7VnL7qtvZHt3O/NL5/OSMnzC/dMSSoeRlxO4U+d1xslsjiJ1JAAwuM5Y6O/7yf2PZ+0sEKQt54NSbMJ15835f7lJBJtydpndnjL5dCeKDGZLh3HDOWgCzzYjdbcHhNlNa66ZxfhBXiQ2X34rLp9UOt2XSrLOHgqqq9O3YxsbnnqR95YvkM2ncwVJOuPSDtJx0Gv7qminjKqoz/UnLMtvSedrTWbamc2xIZlmXzJCStQmjEpORE3wurq0JsrzETYtz6rgqDxHLFHhgVSf3vbaXPeEMALV+O1+7aA7ntVZQ69//u0xRVO5+djs/fmobgqpw0/Eernv/6eM2pp6eBzAanZSVXTRu19TR0Tk48Xyc3fHd7IztJCfn+Micj0z2kMYFXfDq6BwCufZtxB58kPjDD6MkEtjmzaP6Jz/Gfc45utA9ihB7e0k89jipF16gsHs3Un//8DFTVSW22c04li3DVFGOrWUOtjktmILBQ7pHd6qb/3v9/3i281mqXdXcftrtnFt/LgCFriSZ9YPkt0UR+zOgAgJYat14zq3H1uLHHH4c4bnvQngHtLwHlv4X2H1QtRiARDhLz/YYPdti9OyIER/MatcB3AEb/konFU1e3AEbgSoXwVoXTq/1IKOdPqQiYTa/+CybnnuKSE8XJouVWcefROtpZ1HXOl93VdY5ZBRVJSrK9OQLdOdEuvIFunMFuvOiVudE+gvi0L8XVoNAi9PGByr8LPI4WOR2MMNhxTCFBG5ektnUk2BTT4KCpLC+K8bjG/vISwrLGv1cvKAKh9XElcfX4bEdePmDrKjceP8q/rF+gHpDlP8+s573n3Pq+I0x309//3+oKH8vJpNz3K6ro3Osk5NydCW76Ex20pXS6l3xXeyK7WIwOzjcr9xRftQIXj0Pr47O2yDHYiQeX0Hs738nt2EDgtmM+9xzKfnQB7EvXTrlZul1Dp/8rt0M3H47qeeeA0XBOmcOtuZmLDOasLe2Yp0zB1NJybu6R0bMcO/me/nNht8gCAKfnHMtV5jeg9qRRexPI/ZnUFIiGASsM7xY6jxYat1Yat0Yu5+B1X+EXBw6XoTyeXDW15FnnEP/rgRd7VEiPWkG9iRIhnMAWB0mqmb5KK1zayJ3hveoELajkQoFdr75Opuee5KOdWtQVYWq2XNoPf1smk88BatDf1g+VlBVlYKqkpMVcopKTlHIKgo5WS3WCjlFOzayr5KVFeKSTFSSiIoyUVEiJmr7MVFG2ec+VoNAtdVCtc1MtdVCnd1Ci9NGi9NOvX3i8uAejGxBpjuWZedgilROIpIuEErnyeRlNvcm2NAVpyCPvCqPzcTFC6u58vg65lR63vb6kqzwmd+t5KkdcRZb+/nulSfT3Nw8rq9hw8YvEAo9xfHLHsPhqB/Xa+voHM3IisxgdpDuVDc9qR66U90jAjfZxUB2YEx/l9lFk7eJJl8TTd4mZvhm0ORtospVdcClVVOJd5qHVxe8OjoHQMlkSD77LIl//4fUSy+BKGKdNQvf5Zfhed/73rXo0Zk6qKpK6vnnifzmt2TWrcPgcFDyoQ/hu+xSLHV143YfRVX4145/cceaOxjMDnK67SQ+HbkC314LqCBYDJjKnZhL7VgbvdjmlGA0pCGfhDd+A+2PatZcTzV4qlAr5hNqvZldG+JsfqmHTKKAIIAnaCdQ46Jqlo/q2SUEqpzTwgX5UMlnMvRu20L7qy+z/bWXyWfSuAJBWk89k7mnnoW/qnqyh6izD6qqklVU0rJMRtaEaFbWxKa2rZAp1qPbhvspyoH77nP8cJ9qnEYDJWYjfpMJn9lIidmkFZMRv9lEVVHcVtvMBM2mSZ/sVFWVUKpATpT5z4Ze2vuSdITTdITSRDPifv3NRgG72ciscjeL63wsqS9hfo0Pp8WEw2p8x9GUE9kCV939LGsHJE7xRPjJpy4geIgeLm9HJPIya9ZeRVPjf9PY+PlxvbaOznRFVETC2TChbGi/Es6GGcwOEsqG6E/3I6ljsyOU2kupddcesHit3kn/PjtcjknBKwjCe4H3zpw585Pbt2+f7OHoTEPyO3cSve8+4v/8F0omg6m8HM8FF+C56CJsba3T9gtB58Bk166l79vfIbdxI+bqatznn4f/ox/FXFk5bvdIFpI8uflx/rT1T2zP76Il18g1fe+nLTcTS40b6ywfthluLNU2hMg2aH8cul6HrjchH9cuIhig8TRoOIX47E+x9tledqwaIJcWQYD6tgAtJ1RSO9eP1X50rVSRJZFobw+R7k7CXZ2EuzsJd+4h1LUXVBWzzc6s405gzvIzqJu3AINBX1owHqiqSk5RSUoyCVkmIckkJYW0LJOWFTKyMqoeacuMPqZo7aOPHeoTh1kQsBsF7AYDdqPhILV23Da0bzBgMwrYDAatDJ1f7GMzFI8N9xewGQ2TbpV9J2QLMk9t6eeFbYM8v22QgWR++Fi1z059wEF9wElNiZ2A00JrlRe3zYTfZcFtfXciXZZlfvfUGn7xUhdh0cTFNXm+e82F2O328Xhpw6iqyhurLkEU45xw/AqMxqPLI0VHZ19yUo7B7CCDmcFh0TpmOztIKBMimo8e8Hyf1UfQHiRgDxCwBahyVVHlqqLaWU2Vq4pKVyXWo/T/6JgUvEPoFl6dQ0EtFEg+9RTRv9xP5o03ECwWPBdcgPeyS3EsXaqv+TsKyW7YQPTPfyH+z39iKi+n9PPX433f+xDMb5+q5x1dP5/l6bWP8+jO//Bq4U1EQaImX85HMu/jospl2CqzWKU3MYQ2wMAWiOwEpTgbKxigbC7UHAelzWAwIdefTl88yKYXe9ixqh/BKDBjURn1bQFqWkqOChflQi5LpLtLE7bdncMCN9bfi6oUXS8FAU+wjEBNLRUzZlM1u4Xqlrl6hOXDQFVVevMiW9I5tqSybMvk6M9LDBREBgoSCUlGfIfPB3aDgMNoxGE04CyWkW2tfWjfYTDgNBnHnGM3CMPi1TFKzNoMBsxHoXfCobJrMMXfV3fRG8uxtjPGrlAaj83E8lmlLG0owWw0sKzRz+xy9xG5fyKR4NU1G/m/ZzrZmXfhNRa44dRqrjr3uCMyCRwKP8e6ddcwp+W7VFVdMe7X19E50qiqSqKQIJqLEslFiOaihHPh/faHhGxSTO53DZNgImAPUGovJegIUmovpdRRStBe3LaXDgtcs3F8nl3GsPdV7flk6SfG/9rjiC54dcGr8zaI3d1EH3iQ2N//jhwKYa6pwffBK/Bddhkmv3+yh6dzBFAVhb5bvknsgQcQ7HZKrvgAwc9/AaPr3a/xLBTyvLj6aR7d+SgvFV4jY8hRIjk5S53Ne4wCC+UQhmg7QnokIAQljZq4LW0GmwdsPmh9P9h9xAcz7HhzgO72KL074kiigtlmpG15NQvOqsXpm54iN5dKEeraMyxohwRuMjTyvhiMRnwVVQSqa/FX1xKo0Wp/VbUubg+DpCSztShsN6dzbE1l2ZLOEZdG8idXWMxU2cyUWUyUWcx4TUY8JiNukxG30aDVxW2H0TgsbO3TxDI6HqiqetAydHw86yc39/GP1d1s7IljFATK3BacVhPXnNLA0no/Q3MBh3rdA7XJskyhUKBQKJDJZIhEIoTDYSKRCNtCOZ4tzCQnWPj4Ij9ffv8yLOYj40miqiqr3vwAhXw/J574NAaD5YjcR0fncCjIBbpT3XQmOxnIDAwL2KEyLGjzUSRFOuA13GY3frsfv80/Il5HCdmgPUipoxSf1Tc562dD2+GJr8G2x8FTA19YA6ap+3/4TgXv0eX7pqPzNqiKQvqll4j+5X5Szz8PgOu00yj58IdwnnKKbs09yok//DCxBx7Af/XVBD/3WYzud2cRkXIJVq1/mEc3P8IzynbiRhGXDOdmC1yUjHJcLo+RLWCyQ1kLzD4PylrBWwOV86GkYcz1VFUl0pNm04vb2Ph8F6oKgWonc5dXUdNcQvXsEizTxGVZKhQId3cS2ttBqHOPVvZ2kIqEh/uYLFb8VTVUN88lcFbdsMD1VVRiNE2P13moqKpKRtHce0VFRVRVCvvVyph9UdECMQ3V0ph65DpDfYfO7S+I7Mzk6cmPrOd0GQ3Mcdq5uMxHi9PGHJedOU4bviMkYI4EuVyOeDxOJpMZLqIoIknSAYssywc9Nvq4oigHFLGj9yeaZqB5aG4rr5VVj77KkZ7St1gs+Er87DLWsEKyEnBb+OvVy2ir9h7R+0ajK0kk1tA8+1Zd7OpMChkxQ2eyc7jsTe7VthOd9KZ7UfdZmOE0OymxluC3+6l0VtIabNX2bX5N2Fq1usRaQomtBItxin6uu1bB89+HnU9rzyxn3wLLPjWlxe6hMH1+4XR03gVKoUD8oYcI//YexM5OjMEggU99kpIrrsBcVTXZw9M5wqiqijQwwMAPbsc2bx5lN/2/Q5vcUFUIbYOOl0hEtvNSai/Ph9bzklkhYTRiUxVOz2a5IC9wsncG1upZmqB1lYPJBk2ngfng69xS0Tzrn+1k55pBEoNZEKB1eTVLL2jAVTK1LbmqohAb6NOE7d4RYRvt6xl2RTaaTPira6ltnU+wtp5gbT2Bmlo8wbJpO8lUUBRCBYmBguYGHBVl4pJETJKJizJxSVv3mpBkUrJSXAMrk5RlpHHWTiZBW+tqNgiYBQNmQcBkgKDZzEk+F7McNua4bLQ4bdTaLNMmFoEsy/T399Pd3U1PTw+9vb3EYjFyudxbnmcymQ5ajEYjNpvtgO0GgwFBEN6yAG/Zfjh1tiDz8s4wb+6JEs2KlDgsuG1mmkqdXDivCqPh3V1/9N/7YMeMRiMWiwWLxYLdbmd1T4bv/Gcr7f1JTpkZ5KcfWkjAdeS/i3Z33InVWkFV1eVH/F46OgW5QHuknY3hjWwMaWV3fPcYUVtiLaHWXcui8kW8z/0+6tx11LprKXeU47f7p//aWFWF/o3wlw+BmIUlV8Np/wuusske2biiC16doxollyP2wIOEf/tbpP5+7AsWUHbD/+A+6ywEy9Exa6Xz1uS2bGHvf12DHI0iOBxUffe2txdZUh72vAy5BOx5mfymf/AsaR52OXnFbkMSBHxmAydnK1juWcTpJ74fd+1csLrhEIIm5dIiq1fsYf2zXaiySk1LCYvOqaNxQXDKrctVVZVMPFYUtR0MFgVuuHsvUn4kcI63vIJgbQOzTziZYF0Dwdp6fBVV085iq6oqEVFmZybHzmyeXZk8u7J5unIFevMigwXpgAGYBMBTdAf2mAy4jUaqrGZanLYx7sFOowFrcY2qZVisCliGa8OY/dHHTcLIOSZBmFL5Xd8t3d3dbNq0ib1799Lb24ssa27XDoeDyspKamtr8Xq9eL1eXC4XDocDh8OBxWLBZDINi9apzo6BFPe+0sGWviSdkQz9CZXjGpr43+VNnNVShmGS1i4risr3V7Tzi+d3Uh9wcPdHFnN+W8WEvKfR6GvEYq8ze9bXMRim1vefzvRHURU64h1sCG0YLtui24Zdj/02P23BNs5rOI8mX9NwBGOP5e3TdE1bFBn+dBnsehYcQbj2ac0b7Shkej2B6Oi8Q+RUiuhf/kLkD39EDoVwLF1K1Xdvw3HiidPiYUhnfFBVld5v3IIc1SIbVt12G9aZMw9+ws5nYf0DsPU/qPk4q2xW/upx80KZiyx2SlUvl0SO42TTMo47fjmexZUI5kOPCpwIZdnwfDebX+qhkJNoXlbBsvc24gmOb7TTw2FI2Ia79g6XUOdewt2d5JKJ4X4Or49gbR3zzzxPE7Z19QRq6rDYJv81HAqKqtKZK9CezrEtnWN7Js/2TI5dmTyxUWtczYJAvd1CjdVCq8tOpdVMpdVCmcVE0GIiYDbhLa5zPVbWtI4X+XyejRs3smrVKnp7ezEajVRVVbFs2TKqq6uprq7G5/NN6+/uvCSTExWe3NzPva/uYV1nDIvRwMJaH7PK3fzkgws5vikwqWMsSAo3PriOh9f1cOXxdXzjvXOxmiYu6vnujjuxWIJUVX1owu6pc/QSyoZYP7iejaGNrA+tZ1NoEykxBWhuyK2BVq6aexVtwTbaAm1UOCdmYmdK8eKPNLG75Go4/SvgrpjsER0xdMGrc1ShiiKRe/9E6O67UZJJnCefTOBHP8S5bNlkD01nEsiuXk1u/XrKv/Y1nCccv7/YVVVtvcq2FZDshS2PoFi9PDFjGb8kzo5sH16zm/Msy1m2bSYLcnPwn9+E84TKw8ptq6oqG57rZuVDO1BklaaFQZZe2EiwxjVOr/jQxvJOhK3V4SRQU8esZScSqK4jWFdPaV0DDq9vwsf8bklKMuuTGTYktaBNW9NZtqXzZIeiQAPlFhOzHDYuLvMxw2GlyWFjht1Krc2CSY8YPK709/fz+uuvs2HDBgqFAmVlZVx44YXMnz8fm236Byfb1p/kxe0hXtkZ5oXtgxQk7XPWUuHmKxe0cNmSGoIT4Cb8TuiJZbnxwXWs3BnmpvObue60GRP68B+LrSIaXcnMmV/GaJz+f3udiUFRFfrT/eyO72Z3YrdWx3ezK76LUDYEgFEwMrtkNhc2XkhbsI35pfNp8DRgPJZT2CmyFpjq1Z9D2+Xwnp/AUS72dcGrc9SQXrmSvttuo7BjJ85Tl1P6hS9ib2ud7GHpTBKqohD+1a8xuN34Ln0/Bodj1EEV+jfBozfC3lfA7EQ123lm4aXcJcTYHmunydvE16u/zLKVDZjCCva2AN73zMB0mNGR07E8z/xxC3s3R6hrDXD6R5px+4/8g92IsO0k3LWnKG47CXXtPaiwDdbU4a+pI1hTh7PEPy1nvaOixMZklg2pLBuSGdYls+zKjrhel1lMtDhtfLTKT7PTTrPTxmyHFe80Ct40XclmszzzzDO88cYbmEwmWltbWbJkCbW1tdPyszbEs+0DvLYrQm88S3tfkq19WqqRmhI7lyysYna5myqfnfNbKybNZXlfHt3Qy13P7mBTTwKrycDtH1jA5UtqJnQMspxly9avYLVWUF115YTeW2dqkxEz9GX66Ev10ZfpozfdS2+ql750cT/VS0EpDPd3W9w0eZs4uepkZpXMYn7pfOb452Az6ZMowyR64JEvwvYn4Pjr4LzvHPViF3TBq3MUkFmzhsGf/JTMa69hrq6m5uc/x33mGZM9LJ1JRJVl+r71LVLPP0/ZTTeNiF2pAPkEPPkNWPsnMDvgoh+xvfFEvvHat9kQWkWDp4HvLf8eJ+1pJf1IJ6aABd+1M7HNLDmssRRyEtte7+fVf+1ELiic9uHZtJ5aPe4P9vtbbDs1q+1RLmxVVaW/ILE+mWF9MsvGlGbB7R4VmbjaamaB28EVFSXMdzuY57ZTajkCeQt13hJZllm7di1PP/002WyWZcuWcfrpp+MYPRk1xckUJLb0JljfFWf13hiJrPY5S+clVu2JYjYK+J0WZpS6uOn8Zk5sCrCwduq5YydzIt94eBMPre6mpcLNl86ZzSWLqqn1T/zfYvuO28hkdrFo4R8xmd59ijid6UFOyjGQGaA/009/pl8TsaNKb7qXRCEx5hyDYCBoD1LprGSOfw5n1J5BnaeORk8jjd5G/Lbp+Ts2Yay8Q7PsCka46Edw3DWTPaIJQxe8OtMWKRql75ZvklyxAmMgQPlXv4rvg1dgsE4NFzGdyWPwjjuI3f9XAtdeg/8TV2sW3XV/gSe+DhnNzYnWS1FP+zL3R1bzg8c+itvi5lsnf4uLGi8i82Q3yec6sS8oxX/5rMNap6vICmue3MvaJzvJpUXKGz2cffVcfOXv7oFSVVVS0bCWw3aUtTbStZdcOjXcb19X5EDt9Ba2ADlZGXZFbk/naE/n2JjKMljQgo4IwEyHlWVeJ21uB/NcdlpddgIW/adustm2bRuPP/44kUiE2tpaLrzwQiorKyd7WPuhqiqpvES2ILNjMMW2viTt/Sn2RtKIssq6zhj5omtylddGqWfEcvTFs2Zx/ZkzMRunbuTxZE7k5R1hvv2fzfTEsnzhrFl8fhLHPBh6mu7uP1NXew1+/8mTMgad8aUgF4jlY0RzUfoz/cOidnQ9kBkgno/vd67X6qXCUUGFs4KFZQupcGrbFY4KqlxVlDpKMRv0ycpDpnu1ZtXtWw91J8L534WqRZM9qglFmKzcckeSpUuXqqtWHeksdTqTSerFl+j56ldQYnEC132GwNVXj3VZ1TlmST7zLF2f/Szeyy+j6tvfhr6NsOIrsPsFqD1eW6/iDJCaeTY/WP0jHtr+EKfVnMatJ99KiaWE2CM7Sb/Si3NZBb5LZh7WWt1sssCK32yiuz1K/bwAi8+rp3KG95CE5r5RkUOdI+7IhWxmuJ/N5SZQU0egprZYa8XpK5m2whYgryhsTedYk8iwJpFhQzJDeyaHXPzJshkEZjlszHXZmee2M78obp0TGGRH5+3J5/OsWLGC1atXU1payllnnUVzc/MR+WyqqkqmIJPKSyRzIsmcRDInHXRfq4eKSDwrEsuISMrY5yKfw0xj0InZaGBWmYszmstorfZQ6Z3aAdpkRaUnlmVbf5LXdkd4ZWeYjT1xVBUaAg5+eMVCltQfnufKeCCKcV597VwsliDHLX1Ij8w8BVBVFVERyYgZMlJmpC5up8U08XycWD5GLB8b3h7dlpWy+11XQMBv81PuLKfMUUa5Y/+6wlmBw6w/x4076/4K//osOMtg0UfgpM+D7cjm055IBEF4U1XVpW/XT5/21plWKPk8A7f/kOi992KdNZOqX/8aW8vRGUJd59DJvPEG3TfeiG3uXCpu/gqEd8JvzwGjBd7zY1h8NaogsKJjBd9/+P2EsiE+Oe+TXL/oegRJJXL/VrLrQ7iWV+O9sPGQH8oVWWHbG/28/LcdiDmZM6+aw5yT3t6KVchlR3LYdhbz2e7tIDvKFdnu8RKsqWPO8jMIjhK4ds+hCempSEKS2ZTKsjGZZWNKc0vels4jFidkA2YTC9x2zg16aXPZmeuyU2+36NGQpzh79uzhH//4B/F4nFNOOYXTTz8d00HSU4myQnqUAI1nxWGROixYi8dTuQML1lReQnkHc/hOixG3zYzLZsJdLFU+G167hRKHGZ/DjN1spD7gpLnCTZnbOmX/x1J5ic5Ihp5Ylp54jq5Ihl2hNB2hNHvCGQqyZo22GA0srPPxhTNnsajOxykzg5gm2RK9Y8f3EMUoCxfcM23ErqzIpMQUiXyClJhCVMSRIotIijS8LykSiqpoBQVVVZFVeaRtVFFRkRUZhQMcK54nqzKyIg9fY+j6kqrVQ8dG9zvYObIqj9kWFZGslCUrZpFU6W3fBwEBj9WDz+rDa/VS6ihlpm8mXqsXn9WnFZuPckc55Y5ygo6gbpmdaJL90P4oPHaTZtX94L1gn7wJrslGF7w604Zcezs9N/4/8tu3U/Kxj1H2pRswHAWRPHXGh9zWrez99GcwV5RTd20bhtsbQC6AxQ3XvQzeGkLZEN9c+U2e63qOuYG5/OzMn9EWbEPJSQz+bhOFPQm8FzTiOsQ1toqssPbpTtY91UkmUaC80cMZH20hUL1/9OVkOETv9q0MdOwuitsO4gP9w8fNVhuB2jpmLD2B0rp6ArXTNyryvgytt92QzLAppQWU2pjMsic3EnQkaDYxz23nTL+HNredRW4HtTbLlBUcxzqqqpITFZI5kURRnA6Ewmxb+xqhPdsw2l042s5mZbaEJ/65aUSgjrG6iuRE5W3vZTEZcFs1geqymXBbzdT6HZpotZrGiFiX1YRnjKg147Jq7cYpEjDqrVAUlVhWZDCZZyCZoz+Rpz+RYyChbXfHsnRGM8Qy4pjzLEYD9QEHjUEnZ84poynopDHoYl61F7tl6ng/RCIr6el9gPq6T+N2T53gkhkxw5bIFjaGNtKZ7Bx2wY3moiQKCdJiekLGYRAMGDBotaDlljYJJowGIwbBgEnQck4bBaNWDMbhbYNgwGQwjdm2CJYxfYbOGbqW0WDEYXLgMDvG1HazHYfJgdPsHG73Wry4Le5jO8rxVGdgC9xzPuRiUL0ErvjjMS12QRe8OtOExOOP0/P/bsLg81L761/jWn7KZA9JZ4oxeOed2Pwy9RfnEV7/Ccy9GCrmw4wzwFvDyu6VfPnFL5ORMuGrP8kAACAASURBVNy49EY+OuejGA1GVFkh/MfNFDqT+K9swTG/9JDuG+lJ8/QfNjOwJ0ntXD+nnVpNw/wgBoOAVCgw0LGTnm1b6d22lZ4d7aTC2hpiwWCgpLKa8hmzaTv9nGIu2wa8pWUIhqm7BvCdkJZkdmXz7Mrm2Z3R6l3FOiKO5LZtsFuY57ZzZWWAVredeS47ZRaTLm6PIKqqUpAV0nmZdF4iU5BJFyQyec0VOFOQSBdkMnmtTg+15WUyhVEW1bw4bG0dcgE2ojDP1Ms8Yy8qsFWuYG20CumNGE5LErfNPGxR9drN1JTY8ewjRl1F8eq1m/HYtfYhgTuROWHfDZKsUJAVCpJW8tLY/XRBIp4RiRVdqONZkXi2QDhVoD+ZZzCRYyCZ38+1GsBjM1HusVHpszO/xkut30FNiZ1qn50qn52gyzrlBb0kpdnafjN2ez2NjV+Y1LFkxAyv973OS90vsWZgDTtiO1BUbfLFY/FQ7tQslDN9M/FYPHgsHtwWNx6rB6fJicVowWw0YxJMmI1mzIaRMiQwDYIBAQGjwajVghFBEIaPjRa1RkHro38H6hwyiqLFKtn9Amz8G9h8cOWDMONMMOpyb8q/A4IgOIGfAwXgOVVV75vkIelMMNH776fvm7diX7SImjvvwOT3T/aQdKYQSqFA12c+g9DxLPWnxhBicbjkF7DwwwCIisgv1tzBr9f/mhm+Gfz+tN/T5GsaPj/2yC7yu+KUfGD2IYndQlZi7VN7eXPFHixWE+de28rMJWVkkwk2PrOCnW++xt4N65BEzXrpKS2junkuVbNbqJzVTGl9Eybz9HXxyskKHbmikB0landn8/QXxrrEVVrNNNqtXBj00eKy0VZcb+ueJgLm3aKqKllRHhaNw3VBpiApSLKCqKhIsoIkq4hKsZYVpGK7KKtIw+3atjjUvt/52nZBUsiKMjlRJlsYErTyAYXUwXBajDisJpwWI3aLJj4rvTZm21zDAtZpNWJI9BJtf4NCJkll42yWnnwa5YGSYTE73iJMVbX3QXsPNEEpjd6XRm8r5EcJzsI+AnR4+yB9RgSr/Jb9hupDeHsBMBsFvHYLfqeZco+NmaVByj1WSt3F4rJS4bVR5rZNKSvt4aCqKlvbv0Y228XiRfdNWs7dnbGd/HnLn3lk1yNkpSx2k53FZYs5o/YM5gXn0RpsJWgPTsrYdHTeMVIBOl+FjQ9BzxroXatln1jyCVh+A3iqJnuEU4ZJEbyCINwDvAcYUFW1bVT7+cBPASPwG1VVvwdcCvxNVdVHBEH4K6AL3mMEVVUJ3X03oZ/dgeu006j+yY8x2Kd2kBCdCUZRSP/w4/h4BudpRgg2wyceBYc2KbI1spWvv/x1tka2csnMS/jq8V/Fbhr5DKVe7SX9ai+uU2twLil/R7dMRfNseL6LTS90k89IzFxSxkmXNtKzbTX//P4v6Fi3GkWW8ZSWM++s86htnUflrBZcJdNrokZVVQYLEp25Ap25Al3FenfRctudExn9XB80m2hyWDnD76HJYaXRbqXJYaXBbsFpnN4P6aNRFJVopkAoVSCcyjOYyhNOFQil8oSK27Hi+tNEVnPXzYgy4xEf0mQQMBkFzAYDJqOAyWjAbNDqA7VbTAY8dm09qt1ixGXVxKnDYhoWsi6rCYfFiHOotphwWLXabja+Zb5YWZbZuHEjr776Kr29vQSDQS68/P00NTUd9BxFUYlnRcLpAtGMZtWMpAvEsyKZgibIR+qR7WzREp0taBMH2VGeAuOF2ShgMRqwmEYVowGLyYjFZMBqNOCwmPAaheJx43B/65j++29bi/tmowGH1UiJw4LXPrJe+Fix6PX03E9//8M0Nf4PJSXLJvz+awfWcve6u1nZsxKLwcJFTRdxYdOFLC5bjMVomfDx6OiMQZZAzICYBTFdrLNQSENqABLdWh7d2B4Y2Kyt05Xz2tKt0tnwvjtg0ceOiby6h8pkWXh/D9wJ/HGoQRAEI3AXcA7QBbwhCMLDQA2wodht/H/hdKYkqqLQf9t3if7pT3gvvpjKb38LYRpbw3SOAANbkf/6adz5tUi1HowVTVpgqqLYfWTnI9yy8hY8Vg8/Pv3HnF1/9pjT87tixB7eia25BO/5De/oljveHOCZe7cg5WUaF5ay8Owq+ne8yp+/fjupcAiXP8CSiy5hzimnE6xrmNIPsaqqEhFlOrKaVbYjW6Ajm6c7X6AvL9KbF8ntY6rymow02q0s87poqtAEbVNR2HqmubU2J8r0xLL0xnP0xnMMJvOEh0RsusBgMk8oVSCSzh/Qgmc0CAScFoIuKyVOM6Uu16i1o0VBWbSUOixDwtOI1WTURKrBgPmtRKxh6rg5KorCpk2beO655xgIRXAFKmg95TzKapvYkJB4/uXdRNKFA5ZopnBQC6gggMOsCXGHxYjdrL1vLquJUpcVp9WE3WLU+liMWM1GTAYBs9GA2WTAYixuF4vFpL2vowXokDA17ytMjYa3FPc6755kcjPbtt+K37+chobPTui94/k4t75yK0/seQK/zc8XFn2By2dfTont2F7XqHOIyKImSKW8JkSlPEhZEHMgjSqj93MJyIS1kk+MErTZUdsZKGRAEd9+DFaPZrmtWQbuCqhdBjPPBouew/qtmBTBq6rqC4IgNOzTvAzYoarqLgBBEO4HLkYTvzXAWuCgC9sEQfgU8CmAurq68R+0zoShFgr0fPVmEv/+N/6rr6bspv837dc06owzz3wb9cUfgigw0NFE8BcvgksLECUrMj9884fcu/lejqs4jttPux2/bax1VYrkCP9pC6aADf+HW9429ZAsKqx8aAfrn+3SAlJ9bCZ717/Iw7ffTioSpqp5Lud+6vPUz1+IYQoF8hgKEjVa1O7O5unI5OnI5UlII4GCBKDKaqbGZmGB28H5QTN1diu1NgvVxfbp6oKsKCoDSS3QjyZqs/TEcsXIttp2JF3Y7zy72UjQbSHgtFJT4mBRnY+A00rQZSHgshJ0WSktHvfazUeFYJIVlYGkJvojRetrJKPV4VSevf0RugZjpESVPA0U1CboAXoiQGT4OgYBShwWSpwW/E4LM8tclDgtBJwWShwWAi6tfWjbZ7dgMxumjKjXGV8kKcmGjddjNpXQOvd2BGHiftN3x3fz6Sc/zWBmkM8t/BxXzb1KT39zLKCqmmW0kIZCSiv5VHE/qdUH3B8qBzgu7/878Y6werTJeKtHE6YWFzhLNfdjs11rM9uL+45R26OOOUvBXQk2z/i+T8cIU2kNbzXQOWq/Czge+BlwpyAIFwGPHOxkVVV/BfwKtDy8R3CcOkcQVVHo/t//JfnY45TecAOBT16rPwDpaHSvhtd/pbn17HyaVLicvpVmqn9zD4ai2M2IGW564Sae73qej8z5CF9a+qX9UiFIkRyDv1qPqkDgqrkYbAf/GlRkhR1vDvDm43uI9KRpO60Mp3snf7v1Z6SiEapb5nL+Z/+HurYFU+JzOpAXWZvU8tauTWZYl8yMCRJlFKDWZqHRbmWJ10mDXdtusFups1mwTXKaksNFVVUGU3m6olk6Ixm6olm6opnh/Z5Ybjg9yxBuq4kqn51Kn435NT6qvDZt32unymej1G3FYZlKP5HvHlVViWVEuouW7NGCv7fY1pfIIR/ABGs2gBURq1rAbRFori+loSpI0GXF77Tid5qLtSZkvXbzlA+epDMxqKrCli1fIZvtZPGi+7BYJm5t7EBmgM88+Rnycp57L7yXtmDb25+kM/VQVU1sSnmtZEKQ6teeB5J9xe3+sW25OPAO5YDRClZXUYy6tdrq1iyow/vF42YHmKxgsmu12T6yb7aBaVQx2zVxa9Ld5SebqfRrfqBfRlVV1TTwiYkejM7kEPr53SQfe5yyG79E4NprJ3s4OpONqsKOp2DV76D9P2DzIqkeUnuc9G8poeaOH+NYtAhAm71/+nO0R9v52vFf44MtH9z/cqJC+I+bUHIypZ+ch7n04LP80b40K369kXB3Gl+ZmdlLe9ny/O9JRyPUzGnjguu/RG3r/EkTunFRYl0yy9pkhrVFgduT19yhDECz08Z5xby1TXYrjQ4r1VYL5mksQvKSTHtfkvVdcbb2JcYI3Lw0VtAGnBZq/A5aq72c31apRbItsVPl1USux3Z0LJEYCoiVyEokciKJYiqb/kSO/mSegWI6G03YZvdL/2MxGqj02aj02ji+yT/8/pS7LGSiA3Tu2Exvxw5MKLS0NLNo0SJmzZqFQfe60XkHKEqBrVtvZmDwMWbO/PKErttNFBJ85qnPEMvHuOf8e2gNTJ30R+8aRdFcaaW85jarKvsUdey+Ih/guFxsH10r++xLI+fu13dUuyLt37ZvXymvrTeVCtqYhwTscJ0fEbQHOvZWmOzgLgdXOQRnQcNyLQ3PfiLWpQlQi2vUMRcYj47fA52DM5UEbxdQO2q/Bs1R6h0jCMJ7gffOnDlzPMelM0EkHl9B6M478V58Mf5rrpns4ehMJgNbYNdzWlCG1X8EmxfOuJmUspDOz/0PzlPeQ9O/voW5XAs0tSO6g+uevo54Ps4dZ97BqTWnHvCyiWf2IvZlCHyiFcsBcuQO335PgkfuWAeqyMyFPexes4K+9ig1c9u46PM3Uts6/0i86rckryi8EkuxIpTghUiSndmRB4BGu4XjvU4WehwsdDtoc9unfaCoaLrA2q4Ya/bGWN8VY284Q2c0gyhrM/Zum4n6gINZZW7ObCmjpsRBrd9OTYmWpmUqWGdVVUVWVCRFHY7gKx4gOrAoq8V9mYI00jdVzFObKAbASuTE4e2hvLeJrHjQqMtmo0CZ20aZx8qcCg9nNpdR5dMs2EPW7IDTgixLRCIR+vv76evbQ197H691diKKIi6XizOWn8TSpUvxer0T/A7qTGcKhTAbN36BaOxVGhu/SF3txE1i5+U8X3zmi+yO7+aus+6a2mJXVTWLZP9GCO/QrJTpQcjGNCtlNgb5+Nh1oYfrWjuhCGAwgmAEg0mzchqtRWuotbhdbLM4wOQHo2XsMZNtVFuxNtk092BXObgqwFWmWWOngJeVztRFUMcjdOTh3Fhbw/vvoSjNgiCYgG3AWUA38AZwpaqqmw712kuXLlVXrVo1foPVOeJkN2xkz8c+hq2lhbo//B6D1TrZQ9KZDPo2wgvfh83/GmlbfBVc+ENyO3ez52NXYa6spOHP92FwagEa3uh7gy8+80VsJht3nXUXcwJzDnjpQk+KgTvX4lhUhv8Dsw86hL2bwzz2yw0IyjYU8WXS0TC1rfM58fIPUzt33ri+3LcjKko8HU6wIpTg2UiClKxgNwicUuJmqUcTuAvcdnzmyRd3h0ssU2D7QIr2vgTb+lNs60+yYyBFKKU90AlAY9BJrd9BucfKzFIX9UEnfocZWWVMGh9ZUUal7FHfum2fdD+you6X4me4TRlJ/zO6TZLVkbRBo9ICScrIOeOBw2LEYzPjsZvwFFMBeezmMW1D+26biVK3lXKPDZ/djCBALpcjm82SzWZJpVJEIhHC4TDhcJhIJEI8Hh++l9FopLS0lNraWmbMmMGsWbMwTvPJE52JJxJ9hU2bbkAUY8xp+Q6VlZdO2L0VVeHG52/kyT1P8r3l3+Oiposm7N7vCCkPna9Dx4uw91VN6GbCI8cNJm29pt2vTfbavNq6TbN9HzfaIddZi3aOYDhAEfbZN47dNxTbhoXpUG0YEar7tR2gr8F0gGO6ANU58giC8Kaqqkvfrt9kpSX6C3A6EBQEoQv4hqqqvxUE4XpgBVpaonsOR+zqTD/E3l46P3sdpkCAmjvv0MXusUYuAbkYvPZLeOVOzfVo+Y1w3DWaq5HNgzgwQOe1n8Rgt1Nz113DYvex3Y9x80s3U+eu4+6z76bSVXnAW6iiQvTBbRgcJrwXNh6wTzqW5/VHdrHx+VWo0ouI2R7KGmZw4fVfoq5t4iy6eUXh8VCc+3sjvBBNIqtQbjHx/vISzgl4WF7ixj7Ba20VRSWZ16yJ8aw47DqbyErD+9mCTE6SyYsKOUkhJ8rkJYXccP5XLb1MXhqxdMqK+rYrrFRgVyjNrlB6XF+TuRgZ2VSM7Gs0CPtFRzYahOHIySaDgMNiGmnb99y3ud5wihrjASIEj44cPKqfy6blvTUbDVreWVEkk8kMi1dtO6ntR7X9rmyW7cPHtH4Hmti22WwEAgHq6uoIBAL4/X7Ky8sJBoO6wNU5bBRFYnfHz+jo+DkORyMLF/wWt3vuhI7hno338OSeJ/nSki9NLbEb7YBV98DqeyEb0QRnxTxouQjK27RS2qwJXX3JgI7OuDJZUZo/fJD2R4FHD/e6ukvz9EPJ5+m6/vOo2Ry199yDKagnej9mSA3Ac9+FtX/WXLQAllwNZ9+irb0pIkUidF33WeRUiob778dSUw3A47sf56YXbmJJ+RJ+esZP8VoP7m4Zf3w3Ym+awMfnYnTuv1anY32IFb96mWz8eeTCNpwlfs76xP8wd/kZExYhfFs6x++6Q/yjP0pMkqm2mrm+rpzzg14WuO0YjvBseTInsrUvSUcoTUc4TUc4w55wmq5olkRWPGgqGdCssGaTAaMgDE/qq+qQ9XN/UWsyCHjt5uEARwGXhTK3jRKHGbPJcMA8s2MFZXH7IOl7hgSq2XjgNoPApAcZE0WRRCJBOp3WSixNPJ0eFqmjrbJDRZYPnpnPbDZjt9txOBzY7XbKy8uHt0e3O51OSkpKcDgck/4e6BxdpNO72LL1y8Tjb1JZeTnNs7+B0Tix0ZDXDKzhzjV3cm79uXy89eMTeu+DkuyDZ76t/dYBNF8AC6+E+pPB7pvcsenoHCNMXz+4A6Cq6iPAI0uXLv3kZI9F5+1RVZW+W28lt2kTNT+/C+usWZM9JJ2JQJHh2du0tbm5GMz/INSdAI4gzD5v2A1KyeUYvOMOYn99ADWfp+bOO7A1a67IL3S9wM0v3czissX88pxfYjUe3Csg2x4h9XIPrpOqsM8J7Hd8x5ud/OeO3yLl1mAymzjx8is57r2XYrbZjszr34fV8TR37B3gsVAcq0HggqCXD1X6WV7ixniEBUkkXeDJzX08trGPl3eEhl1wjQaBKq+NMreNRbU+VECSFXKiQrqgrR+NZSRSeQnQrLCFYtAop8VIuddGhUcrQ9vlHhsVXi04UpnbekyIrUwmQ39/PwMDA8RiMeLxOPF4nFgsRjp9YIu1xWLBZrMNC9VAIDBGsO67PVTMep5ynUlAVVVSqS309v6dru4/YzTaaJ37IyoqLp7wscRyMW564SYqnZXcctItU+M7pmcN/OXDmsvysk/BSZ8Hb/Vkj0pH55jjqBK8OtOL2AMPEv/7QwSu+wzuM8+c7OHoHGmiHbDhQRjcBhseAP8M+NB9WtL0fVBFkc5rP0lm1So8F15A8HOfwzpjBqqqcn/7/fzf6//H7JLZ/PSMn76l2BUHM0QfaMdU7sB7wVhXZkWWeeHPD/Hmfx4ANUvLKWdy6keuwu0/8l4GqqryfDTJHXsGeDmWwmcyckNDOf9VXUrwCAdbyhYk/rGmm/te28vmngQqRZHqsSEA6YJMLFOgM5qlM5odPs8gQKnbSoXHxtxKLxXeoogtCtkhQeuyHps/K9lslo6ODrq6uujv76e/v59kMjl83Gw24/V68Xq9NDc34/V68Xg8uN1unE4nTqcTx/9n777D46ju/Y+/t/eiXa206pJlW+69YGOMAVNDDRgTINQQcoE0QkJCwk0IJJdU7i+XkEYISYCEDsFgCGCDe5OrbMlVXVqV7b3N/P5YI3BMcVGzfV7PM89qV7MzR7K1u58553yP0YhafWr+/oQThyzLRKN76ep+ne7u14nFGlEoNBQWXszI6nvR6VxD0q7/2/J/9MZ6eeqip7BoLUPShkO0rIO/X5G7mPvl96BwGBfOEoSTnHhnFYZEqq2NrocfxjR3Lq677hrq5ggDKRGElb+Cdb/7sLLk5C/A5b/72KIWcjZL5/3/TWzTJop/9jC2y3I9BWkpzcPrH+a5Pc+xoHQBD89/GJPG9ImnlTMS3r/vAhQ4rx+LQpMbmpzNpNm1Yjlrnn+WiK8LrbGCS+++i4qJH1/sqr9tD8e4d3cbW8IxinQaHhhZzPVFTkzq45s3KcsykWSGrlCS7lCCrnCCroNL0nSFErQHErR4o/hj6cOea9CqcJi0uMw68s06XBZdX+Ej98Ee2nyzFvUJuk7vQEgmkzQ3N9PU1ERjYyOdnZ0AKJVKXC4XVVVVuN1uCgsLKSgowGw2D48eJ0E4Sul0gHB4J6FwHeFwHcFALclUF6AkL2825WW34nKdj1brGLI2toZaeWnvS1w5+krG5w+DYNm1E565GixFcPPS3JI5giAMmZMq8Io5vCcGWZbx/DA33KjoJw+hEAVSTl6tGz4czjXlWjj7B2At/sTd5XSajnvvJfTGUvK/9tW+sBvPxPn6sq+ztnMtt064la9O/Soq5af/vwm/10qmO47z5vFoXEbSiQTb332TTUteJuLzolAVkFe2iMX3X4PJNvCF0iKZLD9r7OTPbb04tWp+VVPGVe48dEc4RziWytDqi9Pii9Hmj+EJJegKJnK3B4NtLHX4HE+zTk2BRYdRpyKWyqJRKbhkUjGfn15CeZ6JQpsO3XGG7VNFKpViz5491NXVsXfvXrLZLCqVitLSUhYsWEBVVRUlJSWil1Y4YaVSXsLhnYTDdQcD7k4Siba+7+v1pdjtM7HnzcaVf+6Q9eb+pz9s/wMqpYrbJ90+1E3JDWP+++dBY4QbXhFhVxCGgZPqXVnM4T0xhF57jejq1RR+//toij6+qq5wgmtckQu7W5/Jvel/+UUonvKJu8uyTHzzZnp/+1uia9ZS8O17cB5ci/mD9RTXda7jx3N/zBWjrvjM06d7YoSWt2KY7IISDWtf+Aeb33yNRDiEJb8ajflMak6byVnXj0VrGNiXwYwk8w+Pl182euhOZbih2Ml9I4qwadTEU1maQtGDoTVBTzhJMJ7GE0zQ5o/TFU4QTuTmzCbS0iHH1aqUFFgPDjEutnL2mAIKrble2QKLnkKrjgKrns5AnMdXNvJcbSvVLjO/v34aIwuGwXC/E0QqlaK+vp5du3Zx4MCBvrVpZ8yYQU1NDWVlZWL+rHBCymZjBINbCAY39/XeJpOevu8bDOVYrZMoLbkWi2UCFst4NJrhV2SpJdTCkgNLuHbstbiMQxzAm1bBM9fkCi/e8ArYy4e2PYIgACdZ4BWGv4zfT9f/PIxh8mTyrv3YYt3CiSwVhXd+BBv+mLuvMcLipz417GZDITq++z0iy5ahNJlwP/AAeYuvBsCf8PON5d9gc/fmIw67siwTeHkfCrWC+uR6Nt+5hHQizohpM8krnc/OlTJTzy9l3qJRAzrEVJZllvQEeWhfB83JFNVqDQvTOrzrurjq9QN0hRKEEpnDnvfBXNnSPCNj3Ja+tVXtRi3lDiNlDiNleQYcJu2ntl+WZX73/n5+9e89qJQKbpxTybfPr8F0is6xPVKSJNHd3c2BAwdobGykqamJdDqN1WplypQpjBs3joqKCpRi2RDhBCNJaYKhrfh8q/D7VhMK70CWM4ACo7EKu30WFsv43GYej0ZjHeomH5En6p5ArVRzy4RbhrYhXTvh6UVgK4UvviKKUwnCMCI++QiDqvvhh8lGIrgf/LEYynyy2fMWLPkmhNrhtDvhrPtArQfVJ7/MJOrrafv6N0h3dFDwne9gX3QVKkuu9/FA8AB3vnMn3bFufjH/F1xQdcERNcPz9k6yB4Js9r3Nvt1bqZl7BrMuX0Swx8hbj9cxYqqL06/qv7CbzGRp6o3R2BvFE4zTGUqwLZag1iATNihRRNJo9oRo60nwilJBVb6JqnwTc6qdfUWfcnNldbjMeix6NUrl8bUtkc7yvZd28PKWdi6eVMSDl00gz6Ttl5/3ZJTNZmlubmbnzp00NDT0VVB2Op1MnjyZCRMmUF5eLkKucMKR5Sw+3yo6O1+i1/se2WwEUGK1Tqa8/Dby7DOx2aahVp+Yoz5kWWZ563IWViwk3zCEyxrGfLnpOzor3PgaWNxD1xZBEA5zUgVeMYd3eIusWk3w1X/h/K+voB89eqibI/QXXyMEWuC5G3KVl696IrfM0KeQZZngy6/geeABVHY7FX/7G8ZpU/u+v65zHXe/dzcapYYnLniCya7Jn3q8VCLO7jUrqX9nOdPSC4hmghhmFHDLpX/A7i6ibbefd/6yDXeVjXNvHnfUgVKWZTqCCRo6QzR4wuz2hOkJJ/GEEjR7o0gyyAqQ3AakcjNZhxZdWmZWUOYSp5PKC8spsRuoLjAN+HzZ3kiS2/9eS22zn3vOG82dZ40UxZI+RiwWY9++fTQ2NrJ7925isRgajYZRo0YxevRoqqqqsNk+eW1nQRjOwuF6PJ6X8XS9RirVjVptp7DwczidZ5Jnn3PC9N5+lgPBA/gSPma7Zw9dI2QZXvsahDvhpjdE2BWEYeikCrxiDu/wJadSdD34INqKCvK/8pWhbo7QH5IRWPYgrP997r7WDNc9/6nDuORsFv/TzxB4+WWS9fUYTzuNkl/9ErXzw/Vx3215l3veu4dKWyWPnvMoJeaPP56UzdKxu56GNSuoX7WcVDzO2RXXo9MYKLxjGpOrcnO5Grf38tYf67C6DFx0x0TU2k8PnNFkhpV7e9jaGqTBE6KxN0p3KEk8/WFBqNI8A0U2PeOKrJw1yU2rRcnqdBJfNku1QcctpflcV+REP4hVjZOZLE+ta+Gx5fuIpjI8dt00Lpoo5sh/VCQSob6+nvr6ehobG5FlGZ1Ox8iRIxk/fjwjR45EqxU94cKJSZYlenvfpbnlcYLBTSgUGvKdC3C7ryA/fwFK5cAX5xtsGz0bAZjhnjF0jdj5EtS/Bgt/BGUzh64dgiB8opMq8ArDl++ZZ0g1N1P2h9+j1J18b7qnnPolESjJYAAAIABJREFUsPReCLXBzNug+iwoGPfpYTeVou2bdxN59130Eyfi/tEPsS9adMjQ9neb3+U7K77DOOc4fn/u7w9bSzERidC4rZYDtRto2lpLIhpBrdEyes48JhaeCZti2C4ageVg2N293sO7f63HVWbmkq9OQW8+vLhQMpNl5Z5e3qjrZFdHiAM9UVJZCY1KQbXLzMQSGwVj9FS5TIx1W6hxW4gp4I3eIK93B3g5EEFKwDkOK7eW5rPAYUE5yD2q+7rDfO0fW9nVGWJ2lYMHLhvPGPfJ0YNzPOLxeN/SQU1NTXg8uYI8TqeTefPmMWbMGIqKisRQZeGElslE8XhepqX1L8TjTej1JYwa9QOK3Jej0eQNdfMG1LaebbgMLkrNpUPTgEg3vH4PlEyHOV8dmjYIgvCZROAVBlw2EKD3t49hmjcP0/z5Q90c4XjVL4Fnr4OC8XDVnz9z+DLklhtq/9Y9RN59l8L7vkfeF7942DDbF/a8wIPrHmSCcwKPLXysL+z6Oto4ULuB/Zs30N6wC1mSMFisVM+YzYjps6iYOBW5NUHvX3ZimJSPeW5u2aPd6zp558l6SmryuOi/JqLVf/hyJ8sye7oiPLmmkSXbOwknMtiNGqaX53FmjYsFowuYUZmH5iM9tKFMlte6A/ykvol1gSgyMMqo42sVhSxy51Ft1PfDL/foyLLM39c185PX6zHr1Dx+wwwWjjt1l8BIJBKHBNwP1sZVqVSUlZVx1llnMWbMGAoKCsQwb+GEl0x209r2N9rbnyaTCWG1TqZ6xG9wuc5HqTw1Pt7V9dYxPn/80P09L70XUhG47LFPrVchCMLQEn+dwoALvPIKUjhMwbfuFh8yT1RSFtY+CjtfAd8BcI2B298H1WcvxyLFYnTcey/ht9+h8L7v4bjhhsP2Wdq4lAfWPsDpJafzy3k/x7e3iS2b13Ng80b8nR0A5JdXMuuyqxgxbSbukaNRHlyHNxtJ0fX8HtSFRhyLalAoFfS2hVn+9G5KauxcfNck1Jrcvh2BOH9Z3ciLm9vxRVPo1EounlTMxZOLmDcy/5CAC5CWZN7zhXi+y8+/e4MkJJmRRh3fqnRzSYGdGtPgh9wP7PaE+ekb9by/p4cFNS5+ftUkCixD157Bls1m6enpobOzk87OTtra2ujs7ESW5UPWxq2srKSkpEQsHSScNEKh7bS1/R1P12vIchaX6zzKy2/Bbps+1E0bVOFUmKZQExePuHhoGuCpyw1nnv8dKBgzNG0QBOGInFSBVxStGn5kWSbw/AsYJk9GP3bsUDdHOBad22HJN6C9FkpnQsXpcOa3PzPsyrJMbN06un76U5L7D3xi2O2MdPI/635KtaaM87YW85enbiUVj6NSqymbMJmpF15K9bRZWF0FH3sO/wt7kRIZXF+aiEKjJBFN8+Yf6tAb1Zx36wTUGhWyLPPXNU38z9IGMpLMBePdnDnaxZk1Lgqt+sOOuSMS53mPj5e6AnjTGRwaFdcWOVnkdjDFYhjSCzdNvVF+8kY9b+/qwqxT88Cl47lhTsVJezEpm83i9/vp6emhp6eH7u5uenp66O3tJZvNzavWaDQUFxczf/58KisrKS0tFQFXOKlks3G6ul6jrf1pwuE6VCojJSXXUFZ6M0ZjxVA3b0g0+BoAGJ8/fmgasOIXoLXAnDuG5vyCIByxkyrwiqJVw09882ZS+/dT9JOHhropwrHY+Di88R0w5MHn/wQTF8ERBCs5m8Xzox8ReP4FVPn5lD/+J0xz5/Z9P51K0rxrG89s+zuvp1eTJsP8dQZ6tY2MmXsmlVOnUzFxClq94VPPE1ndQaLBh+2SEWjcJrJZibf+VEfYl+Dyb07FaM0VIHrknb385t29nD2mgB9fNp7SPONhx+pIpHixy8/zHj97Ygm0CgXn5lu52u3gLIcF7TCY5/n69k7ufXE7CgV87ZxR3Dy38oRdbkiWZRKJBNFolEgkctgWjUYJBoN4vd6+YAtgs9lwuVxUV1dTVFSE2+3G6XSKebjCSUeS0vgD6+npfpOu7iVkMmFMptHUjH4At/uyE3Ypof6yP7AfgFH2UYN/8u562PUqnPGt3PujIAjD2kkVeIXhJ/Dc8yhNJqwXXjjUTRGORuPK3NDlf98PVWfAVX8Bo+OInipLEp33fZ/gq6/i/PKXyb/rThQaDb2tzTRt28zeHRtZ491A7QgvYVOG8qyDLxVcw/wffQ5HSdkR91Qm9vgJvn4A/Tgn5rnFZNMS7/51F20Nfs65aSxFI+2s3e/ll//eTW2zn6uml/LzKycdsiSRLMusDkT4XUsPy3whZGCWzcTPR5dyaYEdu2Z4vEQm0ll++kY9f1vbzNRyO49eO40S+6dfDBgqyWTyU0PsR+9/NMh+QKlUYjKZMJvN2O12Ro0ahcvlwuVykZ+fj04UvRNOYpKUxOdbQ3fPm/T0vEMmE0ClMuLKP5eSkmux2aaftKM5jlZTqAmj2kiB8fDRPwNuxS9BY4Q5dw7+uQVBOGrD49OccFLKhkKE3noL22WXoTQe3qMmDEOZFLx1H2z8U+6+zgYXP3LEYVeKxei47/uE33wT4+230TtjCpsff4zmuq0E/N3srohQNypMvDhDhb6Eh2bew1lV5xz1B7jE/gDep+vRFJpwLK4hFkrx2v9tw9sWYc4V1Yw5rYh367u4/e+1uG16fnjJOK4/raIv7CayEv/qCfB4Ww/bw3HyNWq+WVnI1W4HlYbhEahiqQzv1nfzbn0Xyxq6CSUy3HZGFd8+fwxa9eD2ZkqSRCwWIxwOE4lECIfDfV//55ZOpz/2GB+EWLPZTH5+/iH3P7rp9XrRWyucUhJJDz7fKnzelfR63yObjaBSmXHlL6Sg4AIcjjNQqU6d+flHqjHYSIV1CKZzePdD3Ytw+teO+L1REIShJQKvMGCCS5YgJxLYFy0a6qYIR6J5DSy5G3rqYc5dMOs2MDhA/9nL28iSRMfbb7H3d4/REwkSnDuF4LplsG4ZSpuR7ilGVluC+KUQc4rmcPOEm5nlnoVK+elr4n6c2PYefM/uRp1vwHnzeJKpLK8+soWIP8lFd0yialI+XaEEdz+3jTFFFv5x22lY9Ln5nL50hj+09vD3jl586SyjjDp+PrqURW4HhkFcM/fTyLLMK1vbeXhpA12hJA6TloXjCvnCrHJmVg7ch6tYLEZ3dzc+n49AIEAgEMDv9xMMBolEIkiSdNhzDAZDX1AtLS392BBrMpkwGo2oVEf/by0IJ6N02k8wuBWffzU+3yqi0b0AaLX5FBRcQIHrAhyOuSflurn9qSnYxOSCyYN/4o2Pg1IFp4m5u4JwohCBVxgwoX+9hm70aAwThqighHDkPDvgyYvBWgJfeBZqLvjEXWVZJtTTjWf/Xjz79+DZXU/X3t2kZQl0oDY7KRs1mrwxhWwyHWBZz0pimRhT86fyq6lfZaZ75jE3M7K2g8C/9qOtsJJ/wzhSMrz6yBbC3gQXf3UyJaNzc6keXbaPaDLDb66ZikWvISPJ/Kmth183eYhkJS7Mt3FzST7z8sxDPjxQkmQ2t/jZ1RmisTfK2v1eGjxhJpXaeOTqKcwe4USl7N82JhIJOjo6aG9vp729nY6ODkKhUN/3FQoFVqsVu91OVVUVFovlsM1sNqNWi7cQQfg0mUyUcHgnofB2QqHthEM7iCdaAFAqtdhtsygquhKH4wzMppohfz06USQyCTqjnVxuu3xwT5yMwJanYdzlYHEP7rkFQThmJ9WnFVGlefhItbUR37oV1913D3VThE8iZWH1/8tdrY4HwGDPLTX0kSFa8UgYb2szva0teNua6T34dSKcC0dKlRprMkVxOEbJ7DmYr76IOnUrLzcuZWvPS+iiOi6ovIBrxlzDhPwJx9xUWZIJLm0ksrId/VgHzmvHEI9nef232/B7onzujkl9YbcjEOfZja0smlHGCJeZ+kicbza0sjUcY6HTyg+qixhjGtr5r6mMRH1niFX7enluUyvN3hgABo2KccVWfn7VJK6aVnrIfOPjFY/HaWhooK6ujgMHDiDLMgAOh4OKigrcbjcFBQU4nU5sNpvokRWEoyRJScKRhoPBdjuh8A6i0X1A7m9NryvGYp1Ecck1WC0TsdmmiaHKx6g51IyMTJW1anBPvP1ZSAZh1pcH97yCIByXkyrwiirNw0fo9TcAsF500RC3RPhY7bWw9LvQtgGqzwZ7BdkJi+j1+OjYs5qOPQ107ttNsMvT9xStwYizrJxRM0+joGok9oxE9MGf0Fggsefuc/lHqp49m5cAUGmt5J4Z93D5yMux6WzH1dSMN47/5X0k9wUwzSnCcn4V9Ru6WPvSftLJLBfcNoHycc6+/X+7fB8yMnedPZJnOr18b08bZpWK34+r4LIC+5D1oMiyzPpGH89ubOXtXV1EkhkAZlU5+MbCUcytzqfAouvX9mWzWerq6ti+fTuNjY1IkoTdbmfu3LlUVVVRXFyMUcyvF4SjJkkZorF9uWB7MNxGIruR5dwcdo3GidU6iQLXhVitk7BYJ6LT5g9xq08eTaEmACptlYN3UlmGDX+CoslQNmvwzisIwnE7qQKvMHyElizBMHUq2tKSoW6K8J82PQFLvolszKdrynfYEymiY9Nuup77NZlUEgBTnoPiUWOYdM4FuCqqcJaWY3Hmo1AoCPm7ePsf/8N7B95hy40qggYJVfcSphRM4VvTv8WZZWdSaa087uCWjaYJv9dKZG0nCpUC+xUjiblNPPezTfg7oxRUWjnnhrE4ik19z2kPxHluUytXzSjl/3X18rcOL/PzzDw2rpJ87eC/3MmyTF17iHUHvLy4uY0GTxibQcPnJhZxZo2LqeV2imz939uczWbZvn07K1aswO/3k5eXx2mnncb48eMpLi4WwyYF4QhlMhFisQNEo/uJxfYTPfh1PN7cF25VKjNW60TKy27Bap2E1ToJna5I/J0NoMZgIwDllvLBO2nTylyNi8t+e0TL8wmCMHyIwCv0u8TuPST37qXwBz8Y6qYIB2XDPSTe+G8yHTswBRvoShXw4u5q0rVrUarUFFZVM2nhBRSNqqF49BgsThcA3bFumkPNbPQuZ9/+fWw5sJo9iRYkE5jHaZhXcRYLqs5hXsm84+7J/YAUSxNe2U5kdQdyOotxagHmheVsXeOh9q8NGCwaLrpjEpUTnYd8oJRlmYeXNgAKOipNvNXh5avlBXx3RBGqQf5wks5KvLatg9+9t5+93REAxhZZ+dmVE7lsSgl6zcAMF85ms+zYsYP3338fv9+P2+3mmmuuoaZGzA0UhE8iSUlisSai0X1EYweIx5uJx1uJx1tIpbr79lMoVBgMFZiM1bhcCzGbRmO1TsJgqEChGB5F704VTaEm3CY3Rs0gjlDZ8MdcIccJVw7eOQVB6Bci8Ar9LvT666BSYb3g/KFuyikrGvDTsbueroYt6A4spSazEbM6QVfCTFDpYI/z88yeMwNdZSEZh57elJfmqIcNsbV4drxMW6SN5lAz8Uy875h6WU11S5rPJxyc87k7mD3nSjRKTb+0NxNIkGjwkWjwk9wfQE5LGCbmozu9hJb2CFv+3zYCXTFGzyrkjMWj0ZsOP+8LtW38a1sH486r4K1AmB+MKOKuisJ+ad+RkGWZLa0BXt3SzpLtnXijKca4Lfz8ykmcWeOi0Dqwc/VaWlp45ZVX8Pl8IugKwifIFZHa0TcMORzeRTzeAnxYhVync2MwlON0zsdoqMBoqsZkrMZgKEep1A5d44U+TcGmwZ2/G2iFhtdh7tdAMzzXQBcE4ZOJwCv0u9Bbb2KaPRt1vpivNFgkKYtn3x4ObN5Ey+bVWPy1pAwZSl0e/CaZZ3UOmotnEbZZ6M348UQ30utfiuQ7dKkZo9qI2+Sm2FzMjMIZVForKdMWYnj0GbRvrMR+ySUU/fgBlIZjf8OXJZlsIEm6M0qyJUSiwUemK1e0SeXQY5xRiDzKzvatXhp+uZlsRiK/zMxF/zWRqsmujz1mqy/G/a/uxDWrkC2KDHeVFwxa2M1KMi9tbuM3y/bS6oujUytZOLaQK6eXsGB0Qb8Wnvo4kiSxYsUK3n//fex2O4sXL6ampkasZSsIQCYTJhDYiM+/Br9/HZHIbj4It3p9KRbLeAoLL8ZkrMZkGoXRWCUKSQ1zsizTFGri0upLB++km57I3c68dfDOKQhCvxGBV+hXqZYW0s0tOK7/4lA35aQUS8fwJ/344j66Q53s2buVppZ62nuaiKkiYIkTrpHoVSnJKBTAhxcd9MlduKNuCk2FzCmaQ6GpELfJjdvoxm3KPW7RWPp6BKV4nNAbS/H+8WFSra0U3HsvjptuPKoeQymRIe2Jku6M5m49MdKeKHIym9tBqUBXacV0URUZt5FuX5LaTd20vNmCQqVgzGlFjJlThHuE9VPP+/DSBuLVFgJ5am4tyef7I4qO6fd7NLrDCZ7f1MYz61toD8SZUmbn6+eM5rzxhVj1/dPz/Vl8Ph+vvvoqzc3NTJw4kc997nPo9eLDunDqkqQMweAmfL7V+PxrCYe3I8tZlEotNtt0qirvxGqbgtUyCa124Na1FgZOT7yHaDpKpbVycE6YTsDmv0LNRWAfxDnDgiD0GxF4hX4VWbUKAPMZ84a4JcNfRsoQTUeJpCP4E358Cd8ht96E97DHE9nE4QfSgbZESWEmhTubZYyuGHfJLNyOkRTaRuC2luE2ubFqPz00flRk1Wo8P/oR6bY2tCNGUP7EnzGddton7i9nZTLe+KHhtjNKNpDs20ehV6MpMmKcVoDGbUKRb8AXSbN7b4Dmd9sIHOzlNdl1TL+wkglnlmCy6T6zrbs9YV71BclMyOOmknweGlUyoMN493WH+d939vJmnYeMJDO32sl9F43lwgnuAe/N/UA2m2X16tWsWLECpVLJ5ZdfzuTJk8XwZeGUI8syiUQHwWAt/sB6envfIZXqRaFQYbFMoqL8dvLy5mCzTUel+uzXE2H4awo2AYNYobnuRYh5xVJEgnACO6kCr1iHd+jF1q5DU1yMpqJiqJsyaDJSht54Lz2xHrwJL964F2/CSygZIpKOEE6FiaQjuS2V28Lp8CHzY/+TVqnFYXCQp8vDmNFQErVS1CWDP44ppWCMXcMEG1SnmsmP9mKQZRSFE+CapyGv8rh+Ht8zz9D14wfRVlVR/sSfMc6Zc0iQykbTh4TatCdKuisGmYPDo5WgzjeirbCimW1CU2RC4zaRkGU69gbo2Bug651WfB1RpKyMUq2gdHQeE+aXUDzKjrPUfFTB8cdr95MZZ+d0q4mHRg5c2E2ks/zszQb+uqYJo1bNTXMr+cLscqpd5gE53yfxer08//zzeDwexo0bxwUXXIDVah3UNgjCUMlmE4QjOwkGNxMMbiEY3NJXWEqlMuNwzKOw8GKcjnmo1ZYhbq0wED5YkmhQ5vBKEqz9LbjGQNX8gT+fIAgD4qQKvGId3qElyzKxLVswzZ1zUvU0xTNxOiIdtEfaaQu34Yl68EQ9dEY78cQ89MR6yMrZw55nUBswa8yYNCYsWgtmjZlCYyEWrSX3mMaCWWvGrDGTp88jT5+HQ+/AjIHunQ0c2LSeA5s3kogGKDbFmVSlwVVZQn5kO8pwO0StuTfgqvmg1sO4S8GQd0w/o5RKEa+tJbhkCcEXX8K8YAHFv/wV2bBMbGvPIQFXCqf6nqc0a9AUmTDPKULjzgVbTYERWQk9LRFa9gXwrvPQ1Rjq68HV6FW4q6xMWVhOyWg7RSPtaHTHVrV4tSfAuyYJh6zkL5NHoB6gHtYtLX6+/3IduzpDXH9aOXefW4PDNPjFa7xeL08++SSZTIbFixczduzYQW+DIAymZKqXQGAjgcAGgsEtRCINfcsBGfTlOPLmYLNNw2abitk8BoViYCqgC8NHY7ARvUpPoWkQ6jTseA66d8KVfxZLEQnCCeykCrzC0Eq3tpLt7cU4bdpQN+WoxTNx9gf2sy+wj5ZQC23htlzAjbThS/gO2Vej1OTmvprczHLPotBYSJG5iAJDAU6DE6feicPgQHcUw+diwQD7azewdcOzhPZswKyMYDRouaY6QJ7UhTKbAEkJXiNYi+Gyl3JBV3V8c0XlTIbAS6/ifeI55Iwelb0U03nfRV02ls6fbgZJzu2oUqApNKIfZe/rsdW4TagsWmRJJtgTp7Mtgre2m+7mMJ37A6QTuYsARpsWV7mFcfOKKRltJ7/M0i9DfyOZLLfubAJJ5slJVVjV/f9Btyec5Kdv1PPylnZcFh1/vnEG54wdvMrPH/VB2M1ms9x0000UFg5NOwRhoMiyRDS6j2CwNtd7G9pCLHYAAKXSgNU6ifLyW7FZJ2O1TUOnFYURT0UdkQ5KLaUoB3opqHQClj0ERVNg/OcH9lyCIAwoEXiFfhPbvBkAw9ThHXhj6Rg7enew07uTXd5d7PbtpjnUjEwu3KkUKtwmN6WWUs4qO4sScwkl5hKKzcWUmEtwGpyf/kYry5COQ7wbkuEPt1QEkhFIhiAVIRXoxt+yh6inGUW0m5H6MBPVGfhoTQxjGYy5CYqnwahzwXh4kRVZkpEzEnIyi5zKIh28lVNS7utkFimWRoqmyUZzt1IsQ6Y3SDaYQKEuQD/lrtzBFKDON6B2GTFONKIpMqJxm1DnG1GoFKQSGbxtEXrbIvRu6MLbFsHbHiGTyg1nVijA7jYxepabktF2ikfZj2ge7tGSZZm7djYTQObsqJJZ7v5ZA/ij9nSFufkvG+mJJLljQTV3nDUSs25oXjJ3797NK6+8gkKh4IYbbhBhVzgpSFKKUGg7gWAtwcAmAsFaMpkgABqNA5t1CsVFV2G3z8ZiGY+yn5ZBE05sndFO3Cb3wJ9o4+MQbIXLHgVR9V4QTmgi8Ar9Jr55C0qLBd2o4TWHOpqOsrp9NRs9G9nas5U9/j1Ici6glZhLGOMYw0VlZzNaX8BIfT7FKiOaTDIXUFNRiEch2ADpzbn7Hzzet0WQP/p4MoLiY4Y4/yeNDA5Zix09ss1O1nw6MdMIJHUxWVUJclZBhhLkdg1yk4S8ohk5fQA5IyOns8hpGTmThYx8ZL8IlQKFWkZOhpHiAbJeD0qdAuOsyZjmTERTaETtNKBQK5FlmYg/SVdrmN5N3fS2RuhtCxPq/bBols6oxlliZtzpxThLzeSXmnEUmVBrB35I4Z/aenjTF0KzL8QPL+v/Cyxr9vVy+1O16DUqXvzKXCaW9n+gPhKdnZ0sW7aMvXv34na7WbRoEU6nc0jaIgjHK5tNEAxtIeDfkBuiHNqCJOUK2xmNVRS4zsdmn47dNgODoeKkmhoj9B9P1MOE/AkDe5JIN6z8JVSfAyMWDOy5BEEYcCLwCv0mvmUzhilTUAz1lVBZRk5G2NWxjpcOvMaSztXEpBQGhZrJGju3qYuYnMwyPhohr6sRdm5CIaU/+7AokRV6ZPTIGJAxIMl6ZFmPJBUgy+XI6JEwIsuGj9wakDEiyYfeyuiAg7+rFJBQoAgqUaiVKDQHNzUoNBIKtQKlQXvwMWXfLQdvlVolCq0KhU6F8uCtQqtCqVORDfsJv72U4EvPkW5rQ2mzoauqwnbhBeR94QvIKjV+T4zWpjA9Kzv6wm0ymsm1TQH2AiOucitj5xaTX2rGWWrGnKcbkg+k6wMRHtjXgbIrzterCqlx929hmhdr2/juS9upyjfxxE0zKc0z9uvxj4TX62X58uXU1dWh1+s5++yzmTNnDhqN6OESThySlCEU3pZbIsi3mlBo28H5twos5nGUlFyL3TYTu30GWq24kCN8tngmjj/pp8g0gEvPSVl48Uu5kVrn/3TgziMIwqARgVfoF9lQiOTefVgvumjwTppJgb8RPDtg58vIwXaaYz28porxhlFHm0aDTpI4PxrjikiUyYkkKlmPJNuQsJGVbcTkErLYco/J1lxIxYCsNCCrTaAxgMYEGjMKrT4XKjUqFFpl7lbzYfj8IIgqD95PJKK0NeygsW4L4UAzaoOOiilTGDFzCs7KSpQaJag+8vx+KrgkxWIkGnaT3L+P4AsvEt+2DQDj7NnYv/oNUjWz8XoSNLaG6f3VNrztUbIHKyyrNEqcxSaqpxXgKjWTX2bBWWI+5qJS/a0nleZLdU0o4lnGdqX56lWj+u3YmazEQ6/X8+SaJuZWO/nd9dOxGQY3YAaDQVauXMnmzZtRqVScccYZzJ07F4PBMKjtEIRjIcsy8XgTXt8qfL5V+P3ryGYjgAKLZQJlZTeRZ5+NzTYdjUZUFheOnifqARjYIc3LHoTG9+HSR6FgzMCdRxCEQSMCr9AvEg0NAOgnTOz/g8syePdBy1ro2Q3efcg9eyDQ3Dd0eJe2gEfyLKxzKFHKZqbHHFzrreSM9AQs+hKwuwhZXKisFpQmTW4zalAZVGj0apR69cFeUSUKtQqF6tjCp5TN0rh1E9vffYvGzZuQZYnyCZOZuXgxI2fOQd2PPXSyLJPp7ibj8ZANhQgtWUJ8Rx3JxkZSGgtxg4uUowzFNQ8QsVfg98sE3ozB0u0A6ExqXGUWJp5VSn6pGVeZBXuhAaVqeM5Vykgyt+9sxpfKoN3q5dc3zELXj4Wqfv32Hp5c08TNp1fyvQvHolUP3u8hHA7zzjvvsG3bNpRKJdOnT2f+/PlYLGJZFWF4y2Qi+P1r8fpW4PWuIJFoA0CvL6Ow8GIcjnk48uag0diHuKXCyaAz2gkwcD289a/Bqkdg+k0w7YsDcw5BEAadCLxCv0ju3QuAbvRx9LjVvQTLfwIX/hwsRbD337D338jtm1EcXLNWVmjJUEI6U0xansEWnYF/Obt4x1iPWanjduf1XFp+MUWFpajsOpSDMJ8UINTbzY5l/6Zu+dtEfF6MNjszL/08E88+H7v7+N6YpViMtMdDuqOTdHcPkf2tBHbsJdIVJJ5QkNRZSWltpE3FJMtnEq20kZY+8nN7wJrJkl9qYfSsQvIus7g+AAAgAElEQVTLLLjKzJjsQzMk+Vg93NjJmkAETZ2PO6aXM6m0/z5A/31dM4+9t58vzCrjh5eM77fjfpZMJsP69et5//33yWQyzJkzh1mzZpGXd2zLSwnCQJNlmUik4WDAfZ9gsBZZzqBSmcjLm0NF+ZdxOOZhNJ46a7ELg+eDHt4i8wAE3p498PJ/Qcn03OcQQRBOGiLwCv0iuW8fSosFdUHB0T851AnLH4ItT4FCCU99WP4/a6ohobiQVLqIpDQRnNVoy2w0O7v5ZegxtofXYVAbuLHmRr408UvYdINbXKhz325ql7zCnvWrkWWZqsnTOPvm2xkxbRYq9eF/XnImgxSNIkUiZCNRspEwyUCEWFeAWFsXiUiKZDBOPJQkHpeJp5QklUZSWhtJrZWU1oqsHA/G8VD14XE1GjDa9VicBsoKjdjdJuwFBixOPeY8/bAZknyslvYEeLSlm3xvCnscvnZO/w1lfmVLO//9ah3njCngx5cNcCGUg6LRKLW1tWzYsIFIJMLo0aM5//zzRUEqYVhKpwP4fKvwelfg9a0kleoGwGweS3nZrTid87HZpqFUDv7a1MKppTPaiQIFBcZj+KzxaaK98Ox1oNbB1X/L3QqCcNI4qQKvQqG4BLhk5MjhVSX4VJDauw/dyJFH12Moy1D3Irz0ZZAlOOMe5BFnIS35IdHY6UT8U5GS+eiq7RjGO7GMcZA0Z3ls62M8Xf80Vq2V+0+7n4tHXIxRM7CFhaRUCikSQYpEyIRC7N9Wy7YNq+nydKBVaxhXNoJReYVoUhB77l22Pfl2rvc1pSCZUZKU1KRlLWmFlozaSEZjJKM2kFEbkBUqwHJwO0iX27TKNAathMmsxmXXYc43Y3KZMRfaMNl0GG1aTDbdCR9oP01jLMnX6luoUKnxbG7noUVT+m0o8zu7uvjW89s4rcrJb6+bhmaAh3NHo1FWrFhBbW0tmUyG6upqrrjiCqqrqwf0vIJwNGQ5Syi0o2+Ycii0DZBQq204HPNwOufjdJyBTieWxxIGV2ekE5fRhaY/l6iK+eBvl0OgBa5/CWyl/XdsQRCGhZMq8Mqy/Brw2owZM24b6racSmRZJrl3L5bzzjvyJ6Wi8PTV0LwKSqYjX/YYiZ58Qv9qId35I9T5BqyXFWOYmI/KrEWWZd5ufpufvfMzemI9XDX6Kr4+7evH1aObbGwkUVdHYucupGQCtcuFUm8gvnUr2UCAjN9PKhQnEUuTltQktQY8Vg0ec4aUWkItacmTq1FTQ3uXk0a/DUn1kR4ObW5TIKFVZNCqs2jVMmadAq1ehc6gQmfSojdr0dtNGEsL0Ft06Ixq9CYNRqsW1SDOIx2OYlmJW+saUSkUKGp7GVdo5dLJxf1y7GfWt/DDf9UxodjKn26cgV4zcBcNUqkU69evZ9WqVaRSKaZMmcKcOXMoOJYREYIwANLpEF7vcnp7l+H1rSKTCQAKrNbJVFXehdM5H6t1EgrFyXtxTRj+PFFP/87fDbbBU1eBbz984Z9QeXr/HVsQhGHjpAq8wtDIdHSQDQbRjxt7ZE+QZXj1TmhZg3zmvSTsiwn9M0i6ox61U0/e1aMxTi7oKxwVS8e4d8W9vNf2HmMcY/j1gl8z2TX5Pw4pI8diZPwBsoEAWb+fbMBP9uB9KR4nG4uRjqeJxSEeThPa305KayVlyCNtsJMkS0oLGd18MgYDaaMOShRI2QDZ5DayqTqQkyhUxWj009EaqtFYdZjtWox5ekwOI2b7h72uJpsOvVmDzqDutwrMpxJZlrl3Tyv10QQ3qo380xPlZ7fMQnmcv8tURuKH/6rjHxtamT/axf9dMxWzbmBeCkOhEKtXr2bbtm0kEglqampYuHAhLpdrQM4nCEcjFmvC632fXu9y/P51yHIarTYfV/7ZOJzzcTrmodGI+eTC8NEZ7WScc1z/HKy7Hp66EhIhuO4FGHFm/xxXEIRhRwRe4bjFd+4EQD/+CIr9yDKs/BXsfJnsaffhbbiAVHMHKqeevEWjMU4pOKRCciwd465ld1HbVcs9M+7hurHXoYgl6PrFL0jtP5CrUuz15gJuWiJucBLX5xM3uIgbXCR09lyo1ReR0liQPhgGpQcONlepVGCwajHoZCzZKKbKEnRGNYlIM56979PbsgOFQkHZuBlMOPsSSseMQWfSoNWrTqiiTyeapzq9PO/xc7vbyUv/3MUZo/KZPyr/uI4pyzL//Wod/9zYyn8tqOae82pQDcDFiGQyyZo1a1izZg3ZbJaxY8cya9YsKipEIR9h6GQyUQKB9Qfn4r5PPN4CgNFYRVnZTRS4zsdqnYxCcWqPLBGGJ0mW8EQ9nFN+zvEfrHUjPH0lqA1wy1JwD8AKE4IgDBsi8ArHLbFrF6hU6EaP/vQdfQfgxdugfROZks/RtWYuqGLYPz8S0/RCFP8xfzLsaeWOt25nO218N3omZ/5tF23tN5HYs5d4WkOiZhYh11kEiwuJYiaW0QIfhheNVoE5T4c1T4/RpsNo1WG0ag/dbFr0Rk1fD6wsy+xZt5oNrz5Pd+N+DBYrs6+4msnnXYjFcXxhSzhyW0Mxvr+nnbMcFjo2dpHKSjx0+YTjvsDwt7XN/HNjK3eeVc23z+//9RXT6TQ7duxg2bJlRCIRxo8fz8KFC0XVZWFIyLJEOLILn3clXt9KgsHNyHIapdJAXt5plJXdjNNxBkZj1WcfTBCGmC/hIyWljn8N3qgXnvsiGBxww6uQJy5ECsLJTgRe4bgldu5CN3IkSr3+k3fa9w48dxOyQknEeR/B/bPRVlpxXFOD2n7o81KtrXSvWsY9TY+wy53hziUKyj0dbCmZTtg6kfD0L5KScz21SqUCZ7GZ0iIj1nwDdpcBW4ERm8uA3qw5qoAUCwV5+4+Psm/jWhwlZZz75bsYe8ZZaLSiWuNg8qUzfGlnIy6tmsL9EV7Z1cV3LxxDhdN0XMddtbeXHy/ZxcKxBXzr3Jp+am1OPB5n9erVbNq0iUQiQWlpKYsXL6asrKxfzyMIn0SWsyQSHcRiB4jGDhAKbcfnW0U67QM+qKh8Mw7HGdjt01EqxeuacGLxJXL/l52G46hm37EVXr49V6jq1n+LsCsIpwgReIXjIssyiZ07MZ/5KXNf2mrhn9chGSvpDnyXbLwQ20XlmE8vQaFSIMsy0dVr8D3xBJmeHjo79/KTa3S0uyUWBW9BUTyVrS4ZlVqJs9TMyFIz+aXmvvVk1f2w1u7ejWt5+4+PkopFmX/9LUz/3GUolaI4y2DLyjJ37WqmO5lhUUrLixvauGNBNV8+Y8RxHXdLi58v/W0jI11mHlk85bjnAX/gg2JUq1evJpFIMG7cOKZPn86IESPEcHdhQKTTIWKxA31bNNZILHaAeLwJSUr17afROHE65uNwzMPhmIdOJ+aNCye2WDoGgElzjBc/22vhLxeBzgrXvwDFU/qxdYIgDGci8ArHJdPVRdbn++T5u5EeeO6LSBonnu77UVeWkb+4BnWeHlmW8T//PMGXXyG+eTNqt5t9xUU8dKmTuDLBhQ23MEI/jdI5eVRMdFJSk4emH8LtIc3zeVn25B/Yu34NBZXVXHj/T8gvr+zXcwhH7peNHpb5wny72MXv/rqNK6eV8u3za44rPMZSGb730g4cRi1P3zYbi/74l7OIRqNs2bKFdevW9a2je84551BYKJZpEY5dNpskmewgkeggmfSQTHaRSHb1fZ1MdpJK9fbtr1Co0OvLMBlHHByaPCK3mUag1TjFRRfhpHLMgVeSYMdzsPQ7YC6ALy0Ds7gAJAinEhF4heOS6CtY9TFVE7MZeOFm5EgvPfGfoR1bhfPasSg0StIeD54Hfkxk+XI0FeWov/EAdVI5jyjuJ6XMcH/hLzj383Mw533KMOnjkEmn2frma6x54R9I2QzzrrmBGZdcgUrdj2v7CUdlSXeAR5q7uMadx7rlLejUSu698PjC7up9vdz74nba/HF+f/108s3HN4wznU6zevVqVq1aRSaTobKykquvvpry8vLjOq5wapBlmXTaTzzeRCzWTCzeRDzeTCLeRjzRTirVfdhz1GobOl0hOl0hFvNYjMbKvmBrMJShVGo/5kyCcPKJZqIAGNXGI3+SLMMb98CmP0PhRLjmaRF2BeEUJAKvcFzi23eASoW+5vA5kfK7D6BoWok//Q3UE0/DsbimrzBV989/QXTtWjR33kddZjxtW/0sG/s7AvZuHjvzMeYN0Fp42UyGne+9w7qXniXs7aFqynTOvvkr2N39uK6fcNRW+8PcWd/MDKsRd0ucV5p8/O/iKRRYjv2Cx+/f38/DSxuoyjfx7JdPY/aIY5/3JcsyDQ0NvPXWWwQCAcaPH8+CBQvE8kLCYWRZJpXqPTjMuJV4oiV3G28mFmsikwl+ZG8len0xBn0pTueZGPQl6PWl6PXFfSFXpTIM2c8iCMPJBz28Rs0RBt5sGt7/WS7snv51WPgAiFEPgnBKEoFXOC6x2k3ox49HaTz0DUiuX4JizW+IZC6CKdfhuHJUXyVkKZUi8v77hM+7mU27S9EZooTPr2NvaDPfmPaNAQm7UjbLrpXLWffiPwh2d1E0qobzv/J1yidOFsP+htiOcIwbdzRSrtcyzw+/X76fq2eUcvnUkmM+5rMbW3h4aQMXTyriF1dNxnCMQ+ETiQS1tbXU1tbi8/lwuVzceOONVFWJqranOklKEzs4fzYa239wTm0j0eh+stnIR/Y8GGoNZRQWfg6joQqjsQqDoQKDoUQUjxKEIxRN53p4j2hIc3cDvP4taF4FE68WYVcQTnEi8ArHTEomSWzbTt4Xv3jI43KwHfmFO0hL1aSn3U/e5R+GXQDvE0+yP/8MGkMTcI+w4l6U5jcr/8I55edwy4Rb+r2dHXvqefuPj9Lb2kxBVTVXfPcrVE2ZIYLuMHAgluSabQfQyQqSqzz8vifGpZOLefDyCcd8zLd3dfG9l3Ywf7SLX189Ba362NYUbWho4PXXXyccDlNeXs6ZZ57JhAkTUKlEMbNTiSSliMWbiUX3E43uIxrbRySym1isEVlO9+2n07kxGkdQ5L4Co7Hq4JDjcvT6YpRKMVVCEI5XLHOwh/c/hzRnMxBqzxWlalkLTauheyeotHD572DyF0TYFYRTnAi8wjFL7NyFnE5jnD7tkMezf78dZSZBYtKvsF8x9pBg2bO9kX8vzxKouoRRMwsYe6Wd69+6jjJLGQ+d/lC/htBkLMaqf/6Vrf9+A7PDySXf/C6jZp8ugu4w0RhLctXWfSTSWdIrPZRZDTzypdmcPvLY1zteu9/LXc9sZmKpnd9dN+2Ywm4kEmHp0qXs3LmTwsJCFi9eTGlp6TG3STgxSFKSWKyJSHQP0ejeg9s+4vEWZDnTt59eV4zJPJp851mYzTUYTdUYDVWo1ce3bJYgCOTCayYOmSSk45BJQNwP0R5iretQoUD37x9CrBdCHRBszd3K2dzzNSYomwlTfwoTF+WKVAmCcMoTgVc4ZqnGRgB0o0b1PZbZuhx170oi9juwfH7BIeFyzwYPy/56AIWljLkLLIz6fCXXvnEt6Wya/z3rfzFrzf3SLlmS2L12Je8/9QQRv4+pF1zMvMVfRGs4ikIXwoDaG02waOs+/IkM8rouLql28evFk9Gpj633VJZlnl7fwo/+tZMKp5G/3DQTk+7oXt78fj/btm1jzZo1ZLNZzj77bE4//XTRo3sSSqf9hMI7CYd3EgnvIhypJx5vQj74oVmhUGEwVGAyVlPgOh+jaSQmYzVG4wgRbIVTjyxDKgKJ4MEtBMnQwUCa/DCgZhKQTuRuP9j67if/I8gmP36/D4Lrx4g68jCaTSi2PQNGJ1iLoWIu2MrAXgbuieCeBCoxokIQhEOJwCscs1RzM6jVaIqLAZDTWbJLfooCG4Ybv3PIMOat77Sw+oV95Ouj1Kz7BZMee5f7NzxAc6iZx897nGp79XG3R5ZlmrdtZuU//kZ3035clSO49Fv3UTTy8IJawtB5p9PPbfXNJNMS6o09fG1mJXefO/qY18bNSjL//WodT69v4awaF/97zVRshiP/wNPd3c2KFSvYuXMnsixTU1PDueeeS37+sfc0C8NHKuUjHK4jHK4jFK4jHN5JItHW9329vgSzeSwFBRfw/9m77/i6zvrw459z7t7a0tWWbdmS5b1jh5jshRNIIIs0JEAgLRTK+JVCodBCX5QWSqEFCpSQEDAjgxASIM62EyeeiYdsWXuvq3X3Ps/vjyvLkizbsmxJtvy8X6/zOuee+b2KYt3vfZ7n+9isC7DZF2KzlsmxtdLFSQjQEsOJZCy1TkZHbcdSCWfUl0pcR5JY7/A+78lL1AdCm3wMqh70FtCbwDC8Hv3amgF684nFYD7F6+HrLOlgyyJ07BdY+w7Ah6un7+cnSdKcJBNeacpira0YCwpQ9KlfI/8Tf8KZ2E18+d9jyEgfOa+nycfOJ+uZtyKbyt1b0Uqy2dP/Ns80PMODSx9kbd7ac46ls7aG13/9KG1HDuHKyeWmT36Oik2bUdSpjd+Uzr/BYIy/e7mG580JlJjG5kHBp+5ezcb5U08sNU3wpacO8du9bTy0eT7/7/pF6CaROMfjcWpqati3bx/Nzc0YjUY2btzI6tWrycjImHI80uyKRnvxD7fc+o8nt9HOkeMWSzFO5zIKC+7B4ViCw1GFwZA2ixFLc4aWPNFqmYydSDiT0eH90bHb41+PT0rHXB8Zd2yia0bdC3H28ZucqcXsSi3OfMipTG2P3m92nthnsJycqOpMoJuej5bB2l9gM5yfnmCSJF1azupfJUVR0oEiIcTBaYpnomfOA/4RcAkh3j9Tz5XOLNbagqEkNf9ouLofXfWjCKMFw41/O3KOpgle+/UxrE4ja4u78XxvJ7a/uptvvPUNCu2FfGzZx84phv72Vl7/zS+o3/MWVlcaV334IZZdfb2cT/cCommCx/e18dU9TQwtcpIhVB5bPZ/Vea5zvu8/PXOY3+5t41NXl/PZaxee8Zre3l7279/PgQMHCIfDpKWlcdVVV7FmzRqsVtnl/WIhhCAS6cQfODwqwa0mFvOMnGOxlOJyraLQeV8qubVXYTA4ZzHqS1AykUrEtEQqIdQSqSUZP3nfmNdnOD5y/anOOcPxU10vkuPOT45di+TYe4xOOE/TFfes6Iyp5PH4Wm9MJZH6UYvRfmJ79LHR1+iHk0/9BPfTm8cmsSYHqBf+0I1QPHR2c/BKkiQNO2PCqyjKq8Atw+e+A3gURXlNCPHZSVz7MPAeoFcIsWTU/huA7wE64P+EEP92qnsIIRqBjyiK8sSZnifNHCEE8ZZWrKtWk/BGGXriHfL0O2DZHalvgIdVb+/A0+rnuo9WEfnlv6HPyeHP12fQfLiZH13zI8z6qc2z6u3t4c0nfs2R7S9jMJvZdMe9rLr5VoxmOWflhUIIwc6Gfr697Rh71ASJCifLrBYeX70Al+HcWgAGgzH+8elD/OlQNw9tns9nrimf8LxoNEprayvNzc3U19fT09ODqqpUVFSwevVqysrKUGUvgAtaPD40XB25gVCwgUCgBp+/mkRiaPgMFZttARkZl+NwVA0ntxXo9Y5Zjfu807SxCdnIdnJsIjZ6/4TnjdqfjA8vsVHr02wfLyIUDw2PuQxPvI6HU9ta4szva7qohtRYTlWfSuZU/ajl+Ovjx9Wxx3WGVFI45vxR91CGX490uz1V4jn62PjEc6IE1SirCZ9GKBGa3JREkiRJ40zmU6dLCOFTFOWjwM+FEF9VFGWyLbyPAP8D/OL4DkVRdMAPgGuBdmCPoijPkEp+vznu+g8LIXon+SxpBiX7+9GCQQxFRQz85him5FsoagRW3jNyzmB3kJ1P1VNUmc6C1Tm0/SRIT5mLnx79OdeWXMvlBZef9XN9nl52/+EJDr28DUVVWHXzray79f1YnefWWiidP0IInn6ngx++0kCtJ4BueSaJXBu3ZLv4XmUJFt25JZh7mwf4xNb99AdifPHGCj52xbyR4mg+n4/29nba29tpaWmhs7MTIQSqqlJcXMx1113H8uXLsdnkh6ZTOp5YCW14EaO2NUCcvG/Cc8bvH7099v5CSxKNewhG2wnGOgjFOgnGOwnGu4hr/pHQVAzY9LnkGCpwmN049PnYdTno0ENMgz4Neo+AODwuvnGLljxDTMfPGXd8JKnUxiWYidTPbXwr4anOG32viRLRiRLZqXRTPV9UQyoZM5hTYypH1sPbZtcEx8xgsKauO2XiOdGiG5t4njJZPZ6wTnRP+SXWXBSMB3HZ5d96SZLO3mQSXr2iKG7gDlJdiydNCLFdUZTScbvXAfXDLbcoivIb4FYhxDdJtQZPiaIoHwM+BlBcXDzV20iTFGttBSAZchBr8ZJR+g4E8qBoPQCJeJLn/68avUHHVfctRlEU4uEg313bjVlv5h/W/cOkn5VMJGjcv5uDLz1P84H9qKrK0quuZ/377sCRKQsLXSgSSY23Ggf4yY5Gttd6WFjopPjGEuqSCT5bmsvnS/NQz6H1QgjBw280880/HaUg3cKTD60nnSBvvvnmSJLr8/kA0Ol0FBQU8K53vYuSkhKKioowGo3n663OPG046UpEUgVkov7hZfT2qfYFIB480Tp3UhdPbezraUysNAXCZh1Bq46QNbVObetJ6k78bujjGrZQkuxQEmsoiS2UwBZOYo5oKHSR6mx0vimp5ElRRy3HXyup9eiES1FHbetOJFoj27rUtt487jzdiWOjzxvdinjSeWe4fsLz1HGx6ca+B0V3Ihkds55gW7Y6SheAYDwoW3glSZqSySS8/wI8D7wuhNgzPKa27hyeWQC0jXrdDqw/1cmKomQC/wqsVBTli8OJ8UmEED8BfgKwZs2aWfwq/NIQa0klvNEGBfMiI7qe7bDyr0a+Wd/5VAP97QFu/ptl2NNT1U5/V9BBrSvEf2z4D3KsZ54bb6inm0MvP0/1qy8SHBrEnpHJhtvuYulV1+LMknPrXQgSSY1dTQM8d6iLvxzuZiAYw27S89H3LOJZXYzOaJwfVBZze94kCkFpWmrsXTI+vE6MvPaHo3z2j6280BRlmSvKNaY6/vDz7Wgi9b96ms1IcYaVwtI8CtNN5Nl16ImDVgc9R6Br1P1GWt6S41r7RrWqCW1sF1KRPMM1p7iPpk3x3uO2z4bBmhqTd3wx2sGeB0briYIyY7pmjm41G5UwHU/yxizj9ynAyfviIkJIGyCo9RNK9hFKeggmPYSTfQhOVHs16dKw6d24DW5sRjc2YyFWYz5GXRrKSCI3/rnjk1J1ONGcKFEdFecpk9nj95dJnSRdqIQQ+GN+bHJaMEmSpuCMCa8Q4nHg8VGvG4Hbz+GZE32qOGWCKoToBx46h+dJ0yDW2jLcguAibVEjSkcEFt8KwEBnkEOvtLP0ykJKl6VaYKv7q/nton6uHMzjhtIbTnnfZCJOw95dHHzpeVoOvo2iqJStWsOyq2+gbMVq1It9TtQx3R7Hd2kcXRxF4+RiKeO7PZ6iiMtIwjh+3/hj4+4thrtwju5iOTqhExrxeJxAJEYwEiUcjeEPRTFpSe5UND5u0eHM0/PLvGv4ViyL3PgQT7X+kDXv1J7cjXOibpvD015oQB8ZdJBHB3ns0Rbyh/gavMLCan07KyOtOKPdLKabQroopBt7MARBxn6VdirK6ERKNzYRGt1SNn7fmOPqBPt0oBjOfJ8xzz7VfSa6Rpca62dyDiezzrGJrdkJRse0VUgdT9OihMKthEKNhELNw+tGQsEm4vHBEz9uRY/FUozNuZxs2wJs1nnYbAuG57SVFVclSTqzVn8rvpiPRRlymkFJks7eZIpWZQMPAqWjzxdCfHiKz2wHika9LgQ6T3HuWVEUZQuwZcGCBefjdtJpxJpbUG1ZmMoyMPQ8Ctas1ATwwMFX29HpVdbeXApANBnlSzu+hCus8IneKhhqS3WvjIdG1mHvAPve2M+ht2sJhaI47CY2ri1myaJsHFYFBv8MLz93hvF42omkbcJjp7vudPc73iI3bpyfNtH2KVrrLoRxeMeNL+YyOqEabi0Tio4EKtEERJIQSkAoLogmQUMliYpOp8duMZFht5BuN3PUXMBnXNex01TCeyLH+HbwFdIy0iFz42m7XfrjOjqCKu0BlQ4/dPqTRBMwoFnYnyyiPenCqUvw1Yp+bpifRk56CarBMOp9GIZbLUe9r+NdMic6Jlvyzlos1k8gWIvPdxCf7x0C/hrCkXYY1VprNOZgtZaRnX09Nus8rNYyrNYyzOZCVFVWTZckaep2d+8GOC/TGEqSdOmZTFPAH4AdwIvA+ai7vwcoVxSlDOgA7gLuOf0lkyOE+CPwxzVr1jx4Pu4nwcgk9uNaEaPH6lAsWdgr4/D6XyBjHmy9g0Q0Tu2+v6bceRjLT/8W4iEeMwsaXTa+/Oc4LuVJ+K+fj9w+rqnsGyhgT38hMU3HfPsAy4q6KLUNogaAfUzcBVEd3+VyXHfFMV0cT3dsgvvqdRM8Sz316wlb6ka1Hp5yvJ3+FPtGjxEc1830pHF+w8dHEtgJEryR4i+GEz+3USLxJMe6/TT3BznS5eNwh5fqTh9DoTiQOn1elo2qMhdV+U6q8l0szneSYUuNia0PRfhSUzfP9A6Rptfxnfn53ONejqLcedKvUywWo6uri46ODtrb2+no6MDr9QICVRXk5uaSl1/A9n4rrzaHcVoMfPmqBdy7oQSz4SJv3b8IxONDBIJ1BIN1BIO1BAN1BIK1xOMDI+dYLCU4nEvJy7sVq3UeVmspVmvZ3KuKLEnSBWNP1x5yLDmUOktnOxRJki5Ck0l4rUKIL0zl5oqi/Bp4N5ClKEo78FUhxM8URfkkqXHBOuBhIUT1VO4vTUI8Ap6j0FsDHfsg2AvhIYgMpQraJEfPPzjBXIkTjB8UAuJtJegL12F55XpQEtB7FPQmmv0riGsmFpZ4IGlUZiwAACAASURBVG8TAZ2Rnw3tYLMph2UNbag3Xwm3XAMGKw2NPbz85zfwDfpYsHQxG7e8h+zS+amxhnpLatoG2Rp33nnDcWp7/BxoG2JHXR9vNfYTTaRa6ow6lUV5Dm6oyqMq38nifBeVbgdW48n/VLRFYnynqZvfdQ9g0al8piSXh4qycRn0CCHo7++nra2N/v5++vv76evrw+PxIIbH3bpcLgoLC1m/fj2OrDx2dWtsrx/g9f0e9LooH7tiHn/z7gW4rLJ18HxLJsMEg/UEgscIBmoJBI4RCNYSi50oiq/T2bDZFpCVdTV2Wzk2WzkOxxKMxkmMx5YkSTpPhBDs6dnDurx1IxX5JUmSzsZkEt5nFUW5SQjxp7O9uRDi7lPs/xNw1vc7E9mlmVTiuevHEOqHgaZUsnt8LkSjA5z5qSkk7LmQWT7c7VMd14JoGNVqeLyL6IlpIOJDccRvf4i5JAuleDX0HIYHtoF7CbU/OojV5aPg498CVeGp6l8Q2PsKH7/iW6DdjTp/E9GK23nhpz/g2M7tZBYWc8envkjR4qWz+3Obw2IJjcOdXrZV9/DMOx10eiMjx+Zl2bhnfTHryzIpy7JRlmXDqD/9lB71oQg/a+/jl539qAo8WJTNQ+50op5eju7bS2trK62trQQCAQBUVSUtLY3MzEwqKiooKCigoKAAq9XGGw19bN3TxrbnjhFLaizIsfPgFfP4yKYycpxTm6NZGisa7cXvr8bvP4zfX00gcIxwpI3j3etV1TQ8j+0m7LaF2Gzl2GwLMZvz5YdLSZJmXYuvhb5wH2vy1sx2KJIkXaQmk/B+GviSoigxID68TwghnNMX1tRcsl2auw/D9v9IteB621JVWV2FqeR24XXgXg45i1PdjtVz7xbq/9WLANiuvAwafglV7wP3EiLBOC3V/SzdXIiqKiS1JFtrtrIqZxWV5hLqgP5YmKe/8Cl8fR423XEva299Pzr9zBTZuZS09od49lAn22s9vNM2RCSuoVMVNi/M5v5NpczPtrO0wDXppNKfSPJM7xC/6Rpgjy+IXoH32IxcG/Dg27Gfn7a1oWmpVmKn00lZWRklJSUUFxeTmZmJbrjYWCyhsb3Ww6MvNPHaMQ8dQ2FcFgP3rC/mjjVFLM6/4P5ZuahEIp34/Yfx+atHktxYzDN8VMFqLcPhXEKe+33YbOXYbYuwWktITY8uSZJ04dnTsweANbky4ZUkaWomU6VZDsy6kDW/AVvvSHX/LdsM6z8Oy+4Ce/a0PTL01lEALNl+OOqHylsAaHzbg5YQLFyXC8Arba/QEejg82s+jxYK0Zzl4ujOl3BkZXPn175FwaLKaYvxUhOJJ9nTPMAb9f3sqPNQ3Zmaj7Yq38nd64pZV5rBurIMMu2mSd1PE4LqQJjXBvxsH/SzayhIVAjyRYLr+7tw1x/BHA1zCMjLy+Oyyy6jpKSEvLw8nM6xSaumCXY19vPHg5386dCJqYs2zMvgCzdWcN3iXDk+d4oikU4GB99icGgXg4NvEYm0Dx9Rh1ttL8fhqMLhWILDXimrIkuSdNHZ272XLEuWHL8rSdKUTappTVGUW4Arhl++KoR4dvpCkiat9S341QfAVQD3PQNO97Q/Mt4bItbaCoqKMXw41SW69F0A1O7uJi3XSnZx6juS39f/nlxrLpsLruDV//kuRwqyKCks5T3//E3MNvnB+1wNhWK8dLSXv1R3s73WQzShYdAprCxK5x9vquTGpXkUplsnfb+OSIztg362D/jZPhigP57qCu9ORFns6aK0q4W8oJeiwkKK166muLiYoqIiLBbLSfcSQnC4w8fT73Tw3MEuun0RzAaVqytzuX1VAe8qz8agO33XaelkmhZjcGg3Hs8LDAxsJxxOzYet16eRnr6O4qIHcDqXY7dXoNOd/N9FkiTpYiKEYG/PXtbkrpFDLCRJmrLJTEv0b8Ba4FfDuz6tKMrlQoh/mNbIpuCSGsPbdRB+eXsqyf3QH8GRNyOPDe7rQQv1onfnoba+DkXrwWglMBiho26ItTeXoSgKg5FBdnbs5N7Ke3n+f77LsTd3UNY7xDUP3SaT3SmIJzVa+kMcbB9if+sg+1qGONbtQxPgdpm5a20R767IYV1pBjbT5LqI+xJJ3hhMJbc7Bv3Uh6IAZOlU5oe8rGiuI3+ghxyDnvLycspvuIb58+djNk/cDVoIQW1PgGcPdvLcwS4a+4IYdSqbF2XzpeWVXF2RM+nYpLECgWO0tT1Cr+fPJBJ+VNVMRsYmCgvvIz1tA3b7IhRFfoEgSdLc0uZvozfUK7szS5J0Tibz6fMmYIUQQgNQFOVR4G3ggkt4L6kxvLt/nCoyNYPJrkgKQvt7IDGAqTgfep6Bq74MQN2eXhBQ6o4T2PE627I7SIgE9te7OfbWUTa862oy/ucn6Ky2GYn1YqBpgkAsgT+SwB+J4wun1kOhOJ1DYYbCqXVdb4DmviAJLVVkyG7Ss7I4jeuuKueqihyWFbom/c13YyjKX/q8PN/nZY83iAZYdSrrHRauUWLYGo4ROHYEk9HIqlWrWLrletxuN6p66mSqvtfPswe7ePZgF/W9AVQFNszL5MEr5nHTEressjxFQggGBrbT2vowA4Ovo6pmcnNuJjvnejLSN6HTyaJekiTNbW90vgHAevf6WY5EkqSL2WSbW9KA4xMxuqYpFmmyhID6l2D+lanCVDMkUjeI5o+j+XswpKfG6VK0AYDaPd3klDrp/+Ct9APP/eda8kQG/reOcNWHPka5xUk7oFon38X2QiaEIBLXUolqJI4vkkpcfeH4iQQ2cnz7xP7j+3yROIFoguEZeiZkNerIdZopz7Fz3eJc5mXbWVLgpDzHgU6dfNeuA/4Qz/YO8Zc+L3XDrbhVdjOfKsnlMruJWPUB9j2/i0gkgmK3c/VVV7F27doJuyoDJJIaR7p8vFzTy18Od1PT7UdRYG1pBl+/tYoblrjJdkxurLB0MiEEHs82Gpu+SzBYh8mYy/x5n6eg4C4MhvTZDk+SJGnGbG/fTomzhFJX6WyHIknSRWwyCe83gbcVRXkFUEiN5f3itEYlnV7vUfB3wYJrZvSxob3doI+gBfwYbeFUC3PBKgY6g/S1Bdh4cyr5bsuCtz1vs+pYGmu33M6qm27F+9xzAKjWC2tcYSCaoMcXodcXxRuO4RuTtB5PUMcmq8cT2OMtrqeiKuAwG3Ba9DhMBhxmPUUZVhxmPU6zAadZj8Oc2u+0pNaO4f35aZZzKuQUTCbZPuDn6d4h/tA7hE6By1x2PlSQxXWZTootJo4dO8Zzv3wOn89HRUUFGzZsoLi4eExrrhCC9sEw1Z0+3mkb4u3WQQ62ewnHkygKrCpO56tbFnPTUje5chqhcxYI1FJX9w0GBt/AZitn8eLvkJtzE6pqnO3QJEmSZlQ0GWV3127uWHTHbIciSdJFbjJVmn+tKMqrpMbxKsAXhBDd0x3YVFwyY3j761Nr97IZe6QWSxKuGcSYl5qZyqh0Q24VGG3U7m5AUSB93x8IA09u1KNPKlxl38AV99yfut4/PCfrDLfwapqgYyhMvSdAQ2+ABk+Apr4gvb4oPb4IwVjylNfaTfqR5NRh1pNtNzE/2z4qMT2epA4nsJZRCazZgNWom9EiG+2RGC/0+9jW52XnUICoJnDqVT5ZnMMni3NIM6T+d+/u7mbr71+mtraWnJwc7rjjDgoLC1NdaIMxDrZ7ebttiHfahjjQNoQ3nPpvbtApLM53cefaIlYWp3H5gqxJV32WTi8eH6K+4T/o7Pwder2DhQu/RkH+3aiqHPMsSdKlqWaghpgWk+N3JUk6Z6f8NKUoSoUQokZRlFXDu47Pd5GvKEq+EGL/9Id3di6ZMbz+4e8bHNNflfm4aKMXEhqqKTXdjTHZCAW3pAoV7ekhv8hI+BePEJznZleFh4pOF7f99RdQVJXIkSN4vv999NnZ6DIzpy1GfyTOkU4fhzt9VHd6qeny09gXIBLXRs7JsBkpy7JRme9k86Js8pxmcp1mchwm0qzGkWTVbtafVbfh2dAZibHbG2SXN8ibQwFqghEAyixG7s/P4tosJ+tddgzD7yMWi/G7p59j1+Fa4joreeVX0OvI4Z9e7KK5r55Ob3jkZ6UqsDDXwY1L8lha6GKx20ml2ymnD5oGHs82ao59hXh8iKLC+ygr+6TsuixJ0iXvoOcgAEuzl85yJJIkXexO13zwOeBB4DsTHBPAVdMSkXRmge5Ud2Jr1ow9MlIzgGJUEeE+UBQM+gHIW0p3gxd/f4RKQyvodDx/2wKSOg9351yHIzMLLRKh9aMPophMFD/8M1Tj+euaqWmC1+v72Hakm531/TT2BUeO5ThMVLqdXDY/kwU5dhbk2JmfbSfDdvF0DQ0nNXpjcdoiMVojMdrCw+tIjJZwlJ5Yatogm05ltdPKHXn5XJPpwJGA9sEwbU1efjjQTdtgiMYeH0c7BwlrRmBJ6gGHwlgM7ZRkWlmU5+CqihzyXGaWFrhYUuCSFZWnWSIRpK7+X+ns/C0OexUrlj+CwyHnppYkSQI45DlErjWXHGvObIciSdJF7pSfaIUQDw6vr5y5cKRJ8feAPQdOUzn3fIu1+DCWOIkda0WflYaq64C8ZdTu6EFvUHHueRr9mjW8FjpAtqbnisLUB3f/iy+RHBig+OcPYyorO+c4QrEE77QNsa95kMf3tdM6EMJq1HHZvExuW1VAVb6LqnwnObM4njSmaQSTGoGkRjCZJJQ4/jpJMHniWCCRJDS8P3B8fyJJfzxBTyyOL6GNua8KuA06cuIqFXHYkNBjiwsSoQTdRz38xtvGf3kjxJJjr0s3qxjjfkp0Ea5Ys4iV5cXkOM0UpFnIdZrk3IazYGBgJ0drvkgk0kFJyUPMK/u0HKcrSZI0ysG+gyzLnrmhW5IkzV2n69J82+kuFEI8df7DkSYl0A323Bl7nBZNEu8O4riyiOC2VowZZkAhmVVB/b4DlFalob1wjKPLr6PbEeKGvQr+6m14/vO76DLSMRQUYF0/9SkF/JE4v3+7gyf3d3C4w0tyuFjU+rIMPn/9Iq6vysWkn56utkII+uNJWsNROqNxumNxuqJxeqJxfIkkvkQSfzKJN5EkmEglsvHTlV4ex6ZTsetU7DodNp2KTa+yyGbmMrsV4YuT8MeIBxME/FE6+kI09gXpH1Usy6BTyHOZcTstrCxOI89lpijdSlGGFasIs/fV5+np6mB+xXxuvvk9ZGRkTMePSZokTUvQ1PQ9mlt+hMVSwupVvyEtTY5PkyRJGq0v3EdHoIO7K+6e7VAkSZoDTtdncctpjgnggkt4L5miVf4ecBXO2OPiHX4QYCx2EmtpwVFuBlcRXS0JIsE4JTkREorCy7EahAqX1cQJduwAIDkwQNYnPoEyhdbo6k4vv3yrlT+800EolqQq38lfb57P6tJ0lhemnZfuyUIIBhNJeqJxuqNxOqJxmsNRmsJRWsIxmsNRAuNaTI2KQrZRT5pBh1Ovo9BsZLFeh12nO5G86lWsOjWVxA7vP75tHU5yrToVdbh1tcsb5o36fvY3D/J26xAvd/s4ntcadAqF6VbmZdm4viqP8lw7RRlWCtMsZNlNqBOMNfZ4PDz88K9RFIXbbruNpUuXypbcWRaJdlNd/RmGhnbjdr+fRQu/ik43N6bpkiRJOp8OeA4AsDx7+SxHIknSXHC6Ls0PzGQg58OlU7SqCwpXz9jjYm1+AHRpguTQEEaLCzJK6W1J7Xf5GjmQ4aA5zYtdZ6UyYULgAZ0Okklc73vvWT2vwRPgy78/zJuN/ZgNKluW5XPvhhKWF6VNKf5gMklTKEp9KJXItg2Pg22PxOiMxomOm17IoCgUm42UWIysd9kotZgosRjJNxnIMxnJNJx79WVNExxoG+Llml5eOtrLka5UMTCHSc+K4jSuvXIBK4rTqMhzkus0n1UBrWAwyNatW1FVlY985COyVfcC0N+/neojn0PTIiyu/DZu9/tmOyRJkqQL1kHPQfSqnspMWddAkqRzd7ouzZ893YVCiP88/+FIZ/SXL0KoDxz5M/bIWKsfXaYZzdsHgEE3AOlr6W3x4cwyIxpqaMxNp8vdx8bCzZT+9OMA6FxpRGuOYiycfGv0rsZ+PvzIHgx6lS/fXMkHVhfhshrOeF1CE7RGYjSEIjSGozSEUktjOEpXND7m3GyjniKzkaUOKzdmGckz6ckxGnCbUkuB2YhuGlpDu7xhXq/r4/X6PnbU9TEQjKFTFVaXpPPFGyvYvCibhTmOCVtsJyuRSPC73/0On8/HAw88IJPdWSZEksam79Hc/EPstoUsWfLf2GzzZzssSZKkC9oBzwEqMyox6eTUd5IknbvTdWl2zFgU0uTUvQBv/RCW3A6r75+xx0bb/JjmuUj09gKgVwchvZTeXX5ySpy0PrufzmyNgD7KpoJNmMsXjlxryJ18dcW9zQN8/Jf7yHWZ+dVH1+N2WSY8TwhBTTDCKwN+DvlDHA6EaQpHSYxqqE3T65hvNXF5up35FhPzrGYWWE2UWkxYdTNT7KsvEGV7rYc9zQPsahqg0ZOqIp1lN7J5YTbvXpTN5oXZpFnPT7EiTdN4+umnaWlp4bbbbqPwLL5okM6/aLSHw9WfYWhoF273B1i08GvodLNXTE2SJOlikNASVPdV8/6F75/tUCRJmiNO16X5n2cyEOkMhICXvw4Z8+C9/wv6manomvBG0XwxjEUOEl2HAdBbksQsRanpiFbYaQj76ctKFY1am7v2rJ8hhODRnc1847mjFKZb+Pn9a09KdhtCEbYPBnhrKMBeb5CO4VbbApOBKruFG7JczLeamG81M89iIuM8dDueigZPgBeO9PDCkR72tw4iBDjMelaXpHPX2iIuX5BNRd65teKeygsvvMDhw4e55pprWLZMVracLUIIPH3bqKn5MslkmMWV/47bfftshyVJknRRqB2sJZKMyArNkiSdN6fr0vz3Qoh/VxTlv0kVqRpDCPGpaY1MGqvpNeg6ALf894wlu5CajgjAVOzEe2C4hdeSpDecmgPY1FVNV5qN0DyVLEsWhY6zb1X87gu1fP/leq6pzOU/71yO05zqwhxJajzrGeKxzn52eVOto26TgbUuG3+bZueGLBd5pjN3d55O0USSnQ39vFLTy+t1fSNzAVflO/n01eVcU5lLpdt5VmNwz5YQghdeeIE333yTdevWsWnTpml7lnR6gcAx6ur+lYHBN7DbK1lS9T3ZhVmSJOks7OraBcDKnJWzHIkkSXPF6bo0Hx1e752JQM6HOV2lef9jYE6DZXfO6GNjLT4Ug4oh30aipxed3YRq0NPpcwNd9Lz2BJpepdMVYmXOyrNuVX2+upvvv1zPB1YX8q3bl6GqCtv6vPy4zcN+X4iwplFmMfKV+fm8J9tFsdk469WGg9EErxzr5c+Hu3m1ppdgLInFoGNdWQb3XVbCNYtzKUyfueq7u3fvZufOnaxdu5Ybbrhh1n8+l6JYbIDGpu/R0bEVvd7BwvKvUFDwQVR1dr+QkSRJuti80vYKlRmV5NnyZjsUSZLmiNN1af7j8PrRmQvn3MzZKs0RL9Q8CyvvBf3MFnCItvoxFNpRdCqJnh70VgF5y+hpT+B06ehoHUQpSacn2sLq3LOrHH2s28/nfneA5YUuvv7eJfQnEnz+WBvP9/kotRj5YH4GN2S52JhmH5m+ZzYIITja5WdHnYcddX3sbh4gltDIshu5ZUU+11XlsXF+5rTNBXw67e3tPP/88yxcuJAbb7wRdQrTP0lTp2lxOjp+RWPT90gmgxQWfpB5ZZ/GYEif7dAkSZIuOt6ol3d63+Gh5Q/NdiiSJM0hp2vhBUBRlDXAPwIlo88XQsjBFTOl+mlIRGD5PTP6WC2WJN4RwHFFqptyorcHvT4IRTfi2eHHIbpptFtQ1pUCtWfV/cjjj/LhR/ZgNer4379azZFQhI9WNzMQT/BP8/N5sDAbwzR2Az6TSDzJ7qYBXqv18OzBTnp8UQAW5Tr4qw0lXLs4l7WlGdPaVflMotEoTz75JA6Hg/e+970y2Z1Bmhalq+v3tLT+hHC4hYz0TZSXfxm7feGZL5YkSZImVDdYh0DI8buSJJ1XZ0x4gV8B/w84BGjTG440oQO/hqyFULBqRh8bbw+AJjCWpAp2x7u7MKfFiGUsxT8QwRzbA4rCQJEea4+VhemT+7AfiSf52GN76Q9G+d3HLuP5QJCv1HXgNhn446pyljpmrjvwaEII9rcO8eT+dp490IkvksCgU9i8MIfPXZfLFeXZ5LkunCq7f/7znxkaGuL+++/Hap2dn9mlJpEI0NGxlda2nxOL9eJwLGHZ0h+TlXW17EouSZJ0jhq9jQDMc82b5UgkSZpLJpPweoQQz0x7JNLEwoPQ+hZs/gLM8AfqaGuqYJWx2ImIx0kOetG7NfpjbgC83nqcFhOvB2tZkbMCvTqZXyf47Z423m4d4gf3rOThgI/fdA9wdYaTHywuJs0wuXucL+FYkh11Hl6u6eXNxn5a+kNYDDpuWJLHLSvyWV2SPlJE60JSXV3NO++8wxVXXEFJSclshzPnCaHR1f0UDQ3/QSzWR0b6JkoWf5v09I0y0ZUkSTpPmrxNWPQWOX5XkqTzajLZxVcVRfk/4CUgenynEOKpaYtKOqH5dUDA/Ctn/NGxZh/6bAs6m4F4VxcIgd6SpH0wC6E149PFWVA+n/qhbdw87+ZJ3VMIweP72qjKd3LUofKb5gH+riSXvy/Lm7Fxup1DYV6r9fDS0R521PURTWg4THrWlmXwySsXcONSN3bTzCbeZ6O7u5tnnnmGgoICNm/ePNvhzGmJRICenmdp7/gVgcARXM6VLFv6Y1yuFbMdmiRJ0pzT5G2i1FmKqsghOpIknT+T+VT/AFABGDjRpVkAMuGdCY2vgtEOBWdXEOpcCSGItfowL84EINE7PCVRmpWuDjAodUQVhci6YuiFNblrznjPVFfmfRzu8HHvlkV8p7mb9+em84WyvGltJfOG4rzZ2Mcb9f280dBHoyc1dVBBmoW71xWPjMc16i/8P7CHDx/m6aefxmq18oEPfACdbuYLZc11Qgh8vgN0dv6Wnt5nSSZD2GzlLK78Nnl5t6LID2KSJEnTosHbcNYFMCVJks5kMgnvciHE0mmP5DyYk9MSNb4KJZtAN7PdahN9YbRQAlOJE4B4Tw8ABncBnlY/ydAR7LEE9Wl+LAMWqrKqznjPf/rDYXbUefj0lgp+ooWotJn590VF5z3ZDceS7G0ZSCW49X0c7vQiBFiNqamD7llXzBULsynPsV9U3VGPHDnCk08+SVFREe9///txOp2zHdKcIYQgGKzF0/civT3PEQgeQ1Ut5Oa+h4L8O3E6V1xUvyuSJEkXm8HIIN3BbirSK2Y7FEmS5pjJJLxvKYqyWAhxZNqjOUdzbloibzv018Oaj8z4o2PNw+N3hxPe4y28uMvwvzVINNZDpc3F8579rMhegeEM840e6fTx+L527ru8lD+bEiTDgp8tKcOqO/fWMm84TnWHl30tg7zR0Mf+liFiSQ2DTmFlUTqfvrqcTQuyWF6YdlG04k6kpqaGJ554gsLCQj74wQ9iMs3s9FRziRCCSKQDv78av/8Qfn81Pn818Xg/AE7nShYt+jp5uVvQ6x2zHK0kSdKl4ejAUQAqMytnORJJkuaaySS8lwMfUhSlidQYXgUQclqiGdC0PbWeN/PjNKMtPlSrHn2WBYBEaz0ogkDacpLxegCyFpdTN/gHblx54xnv962/1OCwGngrW8+RQJiHl5RRZp160pbUBA+/3sSvdrXQ3B8a2V+V7+T+TaVsnJ/JurIMrMYLdyzuZNXV1fH444/jdrtlsnsWNC1GONxGKNREKNxEKNRMKNREIFBDIuEFQFF02GzlZGW+G5drFVlZV2Ey5cxy5JIkSZeemoEaACoyZAuvJEnn12SygRumPQppYl0HwGCD7Jn/tjPW6sNY7EQZnmc20XwMvSVJv1qFFnsGSyxBd1UaDMHavLWnvdfe5gFerfVQfkMJB4NhfraklOuyXFOOrcET4B+ePMie5kEum5fJB9YUsbTAxbJCF2lW45TveyE6ePAgzzzzDNnZ2dx7772YzRfOtEgXgmQyTCjURDjcSiTSQTjSTjjUTCjUTDjSzuiZ1AyGDKyWEnKyr8fhXIrTsQSbbRE6nfwCQZIkabbt7t5Ngb0Al2nqnw8kSZImcsaEVwjRMhOBSBPoPQI5FaDObDdcLRQn0RvGujJ3ZF+8qw2DFRoGMtASbbiH/BxyDGIJWKjKPP343f/b0YRxvpPDIsFX5udzU3baWcXzWq2H/9vRiE5V6BwKU9sTwGHW8907l/PeFQVzcmxlJBLhueee49ChQxQVFXH33XdjsVhmO6wZpWlRIpFuotFuItEuopHhdbSbaKSLSLSLeHxgzDU6nR2rtRSncxl5ebdisZZitZZhtZRiMMgPUZIkSReihqEG3uh4g79Z8TezHYokSXPQxd/fcy7rPQoLZ76BPdbmB8BYfGL8YmLAhynDTkfdO4BGvqbymP9oavzuaQpqtQ2EeL6+l8RmN1dlOPibouxJxdAXiPLy0V5+/3YHbzb2U5huwWE24HZZ+MDqIm5ZkU+uc262dnq9Xh577DH6+/u58sorufzyy+dcNeZEIkgs1ks02juc0J5IYqPRLiKR7pExtaPp9S7MpjxMZjcO51LMJjdW2zysllLM5gL0euec/AJEkiRpLnuq7ikMqoG7Ft0126FIkjQHyYT3QhXwQNADOYtn/NHx7tSYWGO+fWRfwh/HtjCLwY49GLDhWFZA3dBOri+9/rT3+vkbzSTKHGgKfKO8cFLJyHMHu/jCkwcJRBPMy7Lx6avL+et3z8dsmFtJ30Q8Hg+PPfYY0WiUD33oQ5SWls52SFMihEY43Eoo3Ew41EI43Eo40jbc9biTZDJ4BaeAPgAAIABJREFU0jV6vROTKQ+z2Y3DsQSzyY3J7E6tTW5Mplz0etssvBtJkiRpumhCY1vLNjbmbyTdnD7b4UiSNAfJhPdC5UlVKyRn5sfvxnuC6JxGVEvq10PzedFikLQ7SPR2khvKpGOlG4ClWaeesaovEOVX77SjbcrhA3kZzDtDkap4UuM722r539caWF2Szte2VLGk4NJosUskEhw4cIAXXngBnU7HAw88QF5e3myHNSmx2ACBQA2B4DGCgdrh7To0LTxyjqpasFqKsVpKyUjfhMmUg9GUi8mYjcmUi8nklsmsJEnSJWh/z366g918auWnZjsUSZLmqDMmvIqi3AZ8C8ghVaH5eJVmOQnodOoZngVqNlp4e0Lo804kH/HGgwB4gmHAhtsbo75AD92wOPPU8f10eyPBIiso8JnS3FOeB+DxR/nEr/azu3mAu9YW8bVbqi6JFl0hBNXV1Wzbtg2fz0dhYSG333476ekX5rfcQgjC4Ra83v0MefcxNLSXUKh+5LjBkIHdvoiCgruw2xZhtZZhsZRgNGZdEl9cSJIkSWdna81WnEYn15RcM9uhSJI0R02mhfffgS1CiKPTHYw0Su8RsGSAfWanSBGaIN4Twr7BPbIv0VQNQMeQF519I67kXuqMAxTYC0gzT1yAqi8Q5ZF9bWibcrjTnUGJ5dStu0e7fHz4kT0MhmL8150reO/KgvP7pi5QPp+PP/3pT9TU1OB2u9myZQsLFiy44BJDTUswMLADT9+L9Pe/SjTaDaQKRKW5VuHOex8O5xLs9gpMxqxZjlaSJEm6WHQFuni59WXuq7oPi/7SKswoSdLMmUzC2yOT3VnQezTVujvDyU9iIAIJDUOe9cS+ljoAvMYM9Jb1ZC4b4NhQHZUZp+5u/dPtjQRLbCgK/F3JqVt363sD3PfwbnSKwhMPbWRJwdyupCuEoKuri8OHD7N//34SiQTXXnstGzZsuOAKU0UiXXR2/o7Ozt8SjfWg09nIyLicjIxPkOZajc1WjqLMbAVxSZIkae747bHfIhCyWJUkSdNqMgnvXkVRfgs8DUSP7xRCPDVtUU2RoihbgC0LFiyY7VDOjRCphHf5zP8BSPSkigkZck90aQ4eewcAXeE1mPuCmK9aSav/NW4su3HCe/gicR6u7iSxOpOPF2afsnW3pT/IHT9+E1WBxz66nvJcx4TnzQXRaJRDhw6xa9cuPB4PqqpSXl7OtddeS1bWhdUqGosN0NT0fTo6tyKERmbGu1hU8DUyMzejqnLOWkmSJOncRRIRnqh7gquKriLfnj/b4UiSNIdNJuF1AiHgulH7BHDBJbxCiD8Cf1yzZs2Dsx3LOfG2Q8wPubNXoVmfk2rhFUKQ7G4BRY/QL8UarqezNButSaM8vXzCe/ypupvAYhc5Bh2fL5u48NLWXa38y7PVmA06Hn9oI/Oz7ROed7FKJpMMDAzQ1tZGS0sLR48eJRaLkZeXx5YtW6isrMRqtZ75RjNsYGAnh6v/jkRiiPz8OykpfhCLpXi2w5IkSZLmmGcbn8Ub9XJP5T2zHYokSXPcGRNeIcQDMxGINErvbBasCqLLMKOaUt1r2/dtRx+LoZitDPlU3MEuWpypbscL0iZuSf9RSy8iXc8Pqkpw6E/upru/dZB/+sNh1pVl8LVbqi7aZFfTNHw+H/39/SPLwMAA/f39DA4OIoQAwGKxUFFRwZo1aygqKrrgxugCRGN9NDZ+l87O32G1lrFy5S9w2CtmOyxJkiRpDoomo/z44I+pyqxiTe6a2Q5HkqQ5bjJVmhcCPwJyhRBLFEVZBtwihPjGtEd3qTqe8GbPfMIR7wlhyDnR8lj7x5+yKKaiOtNIaioZsXbeijsxqkaKHEUnXe8JRam1KZQmFN6VcXIh7x5fhL/d+jZ5LjM/unc1LothWt/PVGiaRiQSIRgMnrT4/X68Xi9er5ehoSESicTIdQaDgYyMDPLy8qiqqiIzM5OCggKysi7cCsVCCDo6tlLf8C00LUpR4X3Mm/dZOUWQJEmSNG2eaXiG7mA3/7LxXy7Yv4+SJM0dk+nS/FPg/wE/BhBCHFQUZSsgE97p0nsUnAVgmbgC8nQRcY2EJ4RlcSYAPU0NRDprSUZV4mYHCI28TEHDUAPz0+ajV0/+9fn2wTaEUeVBd/ZJx450+vjrX+1jKBTjNx+7bMaS3WQySTgcHlkikcjItt/vx+fznZTYHm+dHc9ms+FyucjOzqa8vJzMzMyRxeFwXFR/uKNRD8dq/wmPZxsZGe9i0cKvYrWWzXZYkiRJ0hymCY2tR7dSkVHBBveG2Q5HkqRLwGQSXqsQYve4D/KJU50snQf9DZA584W34r0h0MDgTrXuHXp5G2mmBMmYStjqxB7pwTavgLrBt1jvXn/S9ZoQPOX1Y0hqfKh87NjdjqEw9z28C52q8IuPrGNp4fmrxhwMBunp6aG/vx+/308gEMDv949sny6BVVUVp9OJ3W4nLS2NgoICbDbbhIvFYrngKilPhRCC7u7fU1v3DTQtzIL5f09x8YOy4rIkSZI07R6pfoT6oXq++a5vXlRfEkuSdPGaTMLbpyjKfFKFqlAU5f1A17RGdakLeiBj3ow/Nt4ZAFIJbzwaoeb1V9myKJ3YziAhzYrN106ssoze8DMTFqx6orMfv1Hh2ogRve5E8hSJJ/noo3uJxjV+/4mNLMiZejXmRCJBa2srLS0ttLW10dPTQzAYHHOOzWbD4XDgcDhwu904HA7sdjsWiwWz2YzFYhmzraqXTqLXP/A6TU3fw+vdj8u1isqKb2GzzfzvmiRJknTp2dezj+/v/z7XllzLzWU3z3Y4kiRdIiaT8H4C+AlQoShKB9AEfHBao7rUBfvAdnKX4OkW7w6iGFT0mRaO7HiZaChIToaJlqhKSFiwBbvoKCmGxokLVn2voRsllOBvq8ZW9X2t1sPRLh8/uGfVlJNdTdM4dOgQL730Ej6fD0VRyM3Npby8nNzcXHJycsjKysJut8+JVthzJYQgkfARi/URi/URCjXS63megYEdmExuFi36OgX5d6Io8mclSZIkTa+EluC5xuf4+ltfp8BewD9v/GfZuitJ0oyZTJXmRuAaRVFsgCqE8E9/WJewWBDiQbDN/NyscU8YfY4VRVU4+NLzpLsLMEarEUlI6O04Ay20pqV6s49v4T0SCNOQTJDRG2XNjeljjm2v9WAz6rh2ce6U4mpqamLbtm10dXXhdru56aabKC0txWw2T+2NXsTicS/hcCvhSDvxWD/xhJdE3Es84SMe6yca8wwnuf0IERtzrdlcyPx5n6O4+CNyPl1JkiRpWvUEe9jZuZPXO17nza438cf8rMldw7c3fxuHceo9vSRJks7WZFp4ARBCBM98lnTOgn2p9Sy08Cb6whgL7fR3tNF57AhXfPABtL0vACbiBitpWUZeCzTjMDjItY5NXh9t84AmeG9WGqp64ltbTRO8eszDxgVZGPVn13XY4/Hw4osvcuzYMZxOJ+973/tYunTpnO2CLIRGLNZPJNpJJNJJNNJJJNpFJNJFJNxGONJGIuE76TpVNWPQuzAYMzEaM7HZFmAyZmM0Zo0sJpMbq7VMfqMuSZIkTQshBIf7DvNC6wu80fEGtYO1AORYcrim+BouL7icK4uvxKBeeLMzSJI0t0064ZVmyCwlvCKhkRyMoF+RzZE3XwdFYfG61SRf8gI5xPVWMqvKqBuqozy9fEziFNM0nugZRO0Nc/vG0jH3/Ut1Nx1DYb5w4+SnWAqFQrzyyivs3bsXg8HA1VdfzYYNGzAYLu4/kkIIYrFeQqFmwuEWwpGOVFIb6RxOcrtPapVVVQtmcz4WSyEu1yrMlkIsliIs5iKMxmwMBqdsrZUkSZJmTFJLEklGCCfChONhekI9vNr2Ki+2vkhHoAO9qmdVzio+s/ozbMrfxML0hfLLVkmSZpVMeC80odlJeBODERCgz7RQ9+JO8hdWYot2EYwdb00VWFctp35wGzeW3Tjm2m19PoJCkDuYYGXRiamUNE3w/ZfqmJ9t4+al7knF4fV6efTRRxkcHGTNmjVs3rwZu91+vt7mtNO0ONFoN+FwG5FIO6FwK+Fwy3CS20wyGRp1torJlIvZnI/TuZyc7Bsxm/Mxm/MxmdyYzW70epf8oCBJkiSdEyEECZEgnowT11JLLBnDH/Pji/nwRr0MRYcYjAwyEBlgIDIwsh2IB4gkIsSSMSLJCHEtftL99aqeDe4NfHzZx7m65GqcRucsvEtJkqSJnTHhVRTlA8BfhBB+RVG+DKwCviGE2D/t0V2Kgp7UeobH8Cb6wgDEDFE8LU1cce+HofcIyWgq4VW1OMElJfh3+lmQPrZg1S/aPSiRJLcVZ47pzvx8dTc13X7+684V6NQzJ21+v59HHnmEYDDI/fffT0lJyXl8h+eHpiWIRnuIRNqJRNoJRzqGuxun1pFoN6CNnK8oeszmQqzWEtLT1mGxlmK1lmG1lGIy5aFOMJexJEnSXCKEQBMaGhpCCJIiObLWhDayCARJLZlajz82/nw0NG3sPSc6//g9NU5zr1H3POWxUfGNvtfp7nn8fUw1vone82R/fscT25gWG9kWTDw933g2g410UzoZlgzcdjcOgwOT3oRJZ8KoM2LRWbDohxeDBZfRxcrclTLJlSTpgjWZT9tfEUI8rijK5cD1wLeBHwEnT8QqnbtZS3gjAHR7GgAoWboCqn9IMmkFQE+CTnuqYFWps3Tkuu5onB3eIGpHiA/esnBkv6YJvvdSHfOybGxZnn/G58diMbZu3UogEOBDH/oQhYWF5+utnRUhkkSjPYTDoxLaSDuRcGo7Gu1CiNHTUCvDrbSFpKWtw2wpwGIuwmwuwGIpxGTKl0mtJF0ANKERSUSIJCNEEhESWuKkxGmiJGd8QnTac8/mXqOvOZdnnqd7nW1COT6pmzCZG5XUzUWqoqKioigKOkV30lpVVBROc2z8dUx8TK/qURQFFRVVTT1z/D1VRT2xoGLQGTCow4vOgFE1TrhtN9hxmVykmdJwGp2km9Mx6y+9gpCSJM1tk/kknhxe3wz8SAjxB0VRvjZ9IV3ifJ1gdIDRNqOPTfSHUcx6Wmvfxmyzk11cCq8cJWHIAXyYnRba/G0AFDtPTDv0ePcAAliOfsyUQ4/va6Om289371x+xtZdTdN48skn6e7u5q677pr2ZFfTEkQi/5+9Ow+PqzoP+P89s89opNEua7EtWd4XMNjsBgxZyMISNyaQlEJCCSG/H3nctE2atE1LljYhIQ3NL2QhQKAlKVmABBMSIOwQCMbYYOPdkixLtrbRNvu9c+/5/XFlWbIsW9geyZbez/PMMzN3ztxzDlKe+NV7znv20t+/aXAv7YEs7ciAFvy+CgLBaiKRMwgGLicQqHH20gaqCQSqZA+tEO+S1pq4GSdhJogbceJmnKSZJG05yyYN2yBjZZzXA4+MlcG0zeHXB9qZ1pDrh3w3Y2UGH6cKhRoW9AwNZA4EPIcLoA48Dg2yhn02NLhyufEoz8jP3m3ANnCv0QK2472nS40M8E5kQDmW/36Hu5dsNxFCiFPDWALeVqXUT4D3ArcrpfzA5CyTezLo2gkl9ePebbYrhac0QMvWTVQvWOz8H3nHFkx7DllXmvyKfLbGmvG6vEwLTQOcf7T+b0sXqjvDqrkHqzZ3xTPc9tgWzq8v4crTq4/a91NPPcX27dv54Ac/yLx5847YVmuN1gaWlcayU9hWCstKk832Y2Z7nSN6zN5hx/Vks/1kszHnutlDNts37J4+XznBQDWRyFICgcsHAtmawQyt2y0BrRAHmJZJMpskaSZJZVMks85zwkzQl+mjL9NHIpsgnXWK2hz6HDNjNPU1kcwmj97ZEC7lwu/243V5B5dW+tw+fC6fc93tJewL43P5Bj870D7oDRJ0Bwl4As7DHRjMmg0LbDhMYHiEgGhYVu2Q7w0NTkd8dpjvHdpOCCGEECfGWALejwEfAO7QWvcqpSqBL+R2WMMppT6Ck2EuB+7SWj81nv2Pq+gumHHuuHeb7UqhKv30tu9n6WWXO0urU90YSS9Zbx4F00vZG/szNfk1uF1uADb0J2k2TDytSd578cGA9xd/aSZlWnztqsWD2V3bNshk2jCMKIbZjWlEMYwozXt30NG5gwsuKCYv/BBvv/0zLDuNZaWw7RSWlRl4TmEPXGcMy+OU8uLx5OP1RvB4CvB4CggEqvH5ivF6iwn4K8kvWEIoWIvbLcu3xNSjtabf6CeajtKd6h4sVHPo++5092BQmzJTZA9ZATEan8tHwBM4uNfP4wScRYEilpYtpSpcRb4vn5A3RNgbJs+bR8AdGAxe/W7/sODVI1sDhBBCCHEMjvovCK11EnhEKVWulDqwlnXbWDtQSt0HXA50aK0XD7n+AeC/ATdwj9b6W0cYw2+B3yqlinD2EE/OgNdIQt9eKPmbce1WmzZWX4ZMmVO4avqiJdCxBYBMv4XpDVMyu5o9/XuYkX9wOfOz3THQUJqwqCt1lmBnshb/+2oD5820MKLfYH1LM6lUM5lMG4cLVG3bRWWlj0Cgh/7+VtyuAC53ALcriMdXjtsdHLgWHPbZgWe3O4jLFRgIbgvxegvxeCK43SHJkggBZO0sW6Jb2NCxgR09O2jobaAj2UF3uvuwwatCURQoojhQTHGgmLlFc8nz5hHyhgh6goQ8A8/e0IjXBf4CIv4IIU9IAlQhhBBCnBTGUqX5SuC7QBXQAczACXgXjbGP+4EfAP8z5J5u4C7gfUALsE4p9RhO8PvNQ75/o9a6Y+D1vw58b3LqbnCeS2cfud0JZnYkQUNHT/PB/buvP+l8FjMwPQXkLZxB40uNXFB1weD3XuqJkZe2mF+SRzK5h/1tD/ObNxrojH+Q6+b+hK6udkKhWRQVnUMwMGMgw1qCz1eC11vCs8++zvr1m1izZg2RSGRc5yzEZJWxMmzu2syGjg2sb1/Pm+1vDi4fLguWMatwFhcUXUBJsGQwqB36utBfKMGqEEIIISaNsfyr5uvAucCftNZnKKUuAT4+1g601i8qpWoPuXw2sEtr3QCglHoIuEpr/U2cbPAwyknVfQv4w2jHISmlbgZuBpgxY8bhmpz8ojud55I549ptekcPALuaX3f277pcTvDtj6ATKcy8abTl9WLaJgtLFwKQsCzW9yeYkdjN1bU/59XXNgOKV1r/mZpIlhs/+F3C4XmjZlnj8TgbNrzD6aefLsGuEMfIsi1a4i3s6t1FQ28Db3e9zSutrwyek1kXqeOK+itYPm05yyuWUxoc3+rvQgghhBATbSwBr6m1jiqlXEopl9b6OaXU7cfZbzWwd8j7Fo58zNHncIpmRZRSs7XWPz60gdb6buBugOXLl5+aZyB07XKex7loVXp7N65yPx1/aWThZe91LvbuhcLpKCOJXRhga89WABYVL6Cn53X+sOcVsvoSPlryK8Kqh/q6f8BfcAXv/GkTt1w8i/z8+Ufs87XXXiObzXLBBRccsZ0QAqKpKM2xZvb076G5v5nmWDNNfU009jVi2MZgu+pwNdfMu4azp53N0vKlFAWKJnDUQgghhBATbywBb69SKgy8CPxcKdUBjK1qyegOl/YbNUjVWn8f+P5x9nnyi+6EgppxPZJI2xqjJUZmuvMjnb5oifNBXwt2uApXdjMEQmzY/yJ5bhe73rwC207wF9e1APx+/aWc/1cfo7a2lF+/sRfL1ly2aNoR+0yn06xbt46FCxdSWioZJyEO0FqzL7GPd7reYVv3NrZ2b2VrdCvRdHSwjVu5qQpXMbNgJudVncesyCxmF85mVuEs8rzje5yZEEIIIcTJbiwB71VACvg88NdABPjacfbbAkwf8r4G2Hec90QpdQVwxezZ47sH9oTp2jnu+3ftmAFZTbSv9eD+XYC+vZi+OSjAv+At3mztpsbnpbLySooKz+He/XOZ1puhITqTmSXOP7Kf3dZBRYGfJdVHXqL8xhtvkMlkWLFiRW4nJ8RJTmvN3the1rWt4432N3ij/Q3aEm0AeJTH2W9bfQHziuZRF6ljRsEMqsJVeF3eCR65EEIIIcSpYSwBbzmwX2udBh5QSgWBCiB65K8d0TpgjlKqDmgFrgU+cRz3A0BrvRZYu3z58k8f773GndbOkUSnfWxcu812pwHYt287NQud/bup3q0E0720dr8KKKySXtqyHq6b8wnmz/siWmve2vkO07KQcCsqCgIYWZsXd3Ry5dLqI1ZHNk2TV199lfr6eqqqqsZplkKcXLZ1b+Ox3Y/xZNOTdCSdmnzFgWKWVSzjxsU3clrZacwunI1fzoAWQgghhDguYwl4fw2cP+S9NXDtrLF0oJT6P2AlUKqUagH+XWt9r1LqVuBJnMrM92mt33k3A590klHI9EPJ+GZ4DwS87Z2NnHHZeWza/DkSjWs5FzBSbsAm5r2erP4fFpedDsD+jEnUzDIjoakqDOJ2KV7dHSVhWLxnfvkR+9u4cSOJREKyu2LK6Up18fuG3/PY7sfY0bMDr8vLRTUXcX7V+SyvWE5dpE6O0hJCCCGEOMHGEvB6tNaDVVG01oZSyjfWDrTWh63orLV+AnhirPcZi1N6SXNsv/NcML5Zz2x3GluZhJfsIub/M8lomLmRy4CHYOsC4B26q4AsLCxxKjRvijvn9RrRNNOLQgA8s60dv8fFBbNH35ObSqV46aWXqK6upra2NrcTE+IkkLEyPLf3OR7b9Rh/3vdnLG1xWulp/Ms5/8IH6z5IxC8VyoUQQgghcmksAW+nUupKrfVjAEqpq4Cu3A7r2JzSS5pj7c5z+MgFn060vv71NFz0dab5+ykrfT8LFtyOd/3PgYfo61QUAG3F/YS6Q9SEawB4K5bEBfS0JThrnpPRfX57J+fXlxD0uUft6+mnnyYej/Oxj31MMlliUutMdnL/O/fz212/pd/opyJUwacWf4or6q9gVmTWRA9PCCGEEGLKGEvAewtOdeYfDLxvAf4md0Oaog5kePMrxq3LVKqVhoKvQjpAet/FLF7537hcPojuRvsLSGW85KPYqfYzKzJrMEjdFEtRH/Sztz/D9OIQvUmDxq4E15w1/Qh9pXj77bdZunQpNTU14zVFIcZVR7KD+zbfx292/IasneV9M9/HqjmrOGfaObhdo/8xSAghhBBC5MZRA16t9W7g3IGjiZTWOpb7YR2bU3pJc9ypzDqeGd6Gxu9hY+B+6WPUvO9MJ9gF6N6NHZgGuLD9eezub+TcqnMHv7cplmKBz8teYEFlPu/s6wdgUVXBqH1t2bKFbDbLsmXLcjgjISZGe6J9MNC1tMUV9Vdw85KbmV4w+h+BhBBCCCFE7o0lwwuA1jqey4GcCKf8kuZAIXgD49JdJtNJe/vjRFovoqNPcdbZ5x38MLqbrFmMS2ex8wvoSHUMLsPsyJi0GSZn2U62akFlAWvfck6UWlQ1+n7E3bt3U1BQIJWZxaTSnmjn3s338vCOh7G1zZWzr+SmJTcxPV8CXSGEEEKIk8GYA16RY7H9kD9+2d229t+htUlh83voKWsjFCl0Psga0LeXpJ6B14xjljpFqQ4EvG8PFKzK9mQoCnmZVhDgrZY+KiMBivMOX8vMtm0aGxuZN2+e7N0Vk0Jboo17N93LwzsfRmvNVbOv4qYlN1GTL8v1hRBCCCFOJhLwnizi7eMb8Lb9jjz3AvzJKiLzhgShPU2gbWLJCF6zlVSkGIC6SB0Am2NJADpb48yfVkAsk+WZre2sOmP0f+i3tbWRSqWoq6vL2XyEGA9tiTbu2XQPj+x8ZDDQ/fRpn6Y6XD3RQxNCCCGEEIdx1IBXKRUC/gGYobX+tFJqDjBPa/14zkc3VVhZ6NwBiz4yLt3F49uJx7dQGrsegPJFQ/Y8d+8GoCdRhNfYTmd+ER7loTrf+Qf9pniK2qCPtmgnSxZW8Phb+0mbNh8/e/QlnI2NjQAS8IpT1v74fu7dfK8T6KL5yOyPcNOSmyTQFUIIIYQ4yY0lw/szYD1wYJNnC/Br4KQLeE/ZolUtr0OmD2a/Z1y6a2t/DKXcuPfMx7QNqpYMKSQVdQLerngJldkk0ZBBTX4NXpcXgM2xFIvyAjwbN6guDPJGUzfl+X5Oqykctb+GhgbKysooKBi9qJUQJ6Ot0a38z5b/4Y+NfwQFq2av4qYlN1EVlr3oQgghhBCngrEEvPVa62uUUh8H0Fqn1Em6EfOULVq182lweWDWypx3pbVNW9vvKC6+EFd3kJSO4Q+GDjbo3g2BQmKpMFVo9nnj1EZOA6DPzLInbXBZQRiAmqIQv9u4jyXVoxerymaz7NmzhzPPPDOn8xJiNJZtkbbSpLIp0tm08xh435/pJ5qOEk1H6U5105PpoTfTS3+mn65UF52pToKeINfOv5brF15PZbhyoqcjhBBCCCHehbEEvIZSKghoAKVUPZDJ6aimmt5mKJwBgdEDxxPWVe86Mpn9zK7/In1pN2nfIT/K6G4oqce0XQDscfVSXzCwf3egYFWx5fy9oyTsY1dnnA+fNnoQ0NLSQjabZdasWTmYjZiMDMsgZsSIm3FiRoyYESNhJkhlU6SyKXozvfSke0iYCdJZJ3BNWSOD2QPvDdsYU78FvgKKA8VE/BHKQ+XMLZrLotJFfKjuQ0T8uf/fphBCCCGEOPHGEvD+O/BHYLpS6ufABcAnczmoKcdMgjdvXLrq6HwSlytAacl7yOjXSYfTwxv070OXL8DCOXaoO5jl0oKZwMGA15/MApAwsmgNi49wHFFDQwNKKWpra0/8ZMRJxdY2MSM2GJAOfY4ZMTJWhoyVcYJQyxgMTONGfFhwO5YANeQJEfaGCXqDBD1BAu4AQU+QokARQXeQgCcw+Ai6B9occi3gCZDvy6ckUEJxoBiv2zsO/5WEEEIIIcR4OmrAq7V+Win1JnAuoIA1WuuunI/sGJyye3iNBPjGJ+CNx7cRDi+leZLzAAAgAElEQVQgEzVwKw+e4uDwBmaKbNaNy3aC2v6QojZSC8CmWIoKn4e+ngwel6InYQIwtyJ/1P4aGhqoqqoiEBif84XFiZMwE3QmO+lMddKT7qHP6KMv4zx6M73DXh942No+7L0UioAngN/tx+/2E/QE8bv9BDwBIoEINfk1hH1h8r35zrMvn7D34HPYFybocQLXiD+C3+0f5/8aQgghhBDiVDRqwKuUOnTT5f6B5xlKqRla6zdzN6xjc8ru4TUSEMh9QSetNYnEDsrK3k9/g/PjDFQekp3NpsikwGfGAegPQW1BLeBkeBeHQ2zd3sXs8jBN0QQ+t4vqokOC5gHpdJrW1lZWrFiRszmJ49Nv9LO9ezs7enbQGm+lPdHO3the9sb2Eh/4HThUwB2gwF9Aob+QiD9CfWE9hf5CCv2FFAWKRrwuChQR8oTkDGYhhBBCCDHujpTh/e7AcwBYDryFk+E9DfgLIFHMiWImx+UMXsPoxDR7COfNJbW5Bx+QV1NyyFjSpDqTeA8EO5F8igPF9GcttifSXF4W4cGWXi5bOI2GzgQzS0K4XYcPZPbs2YPWWvbvnkSydpZnmp/h2eZn2dCxgf2J/YOfBT1BKkIV1OTXsLR8KZV5lZQGSykLlTl7W30RIv4IAY9k64UQQgghxKlh1IBXa30JgFLqIeBmrfWmgfeLgX8cn+FNEUYCfOGcdxNP7AAgLzyPrmgCr/YRqik+2EBrdDZFf/M+vGYx6YCbGUWzUEqxri+BBupcXnqTJqdNj/CzV5qoLxt9KfauXbvweDzU1NTkeGbiaJJmkkd2PsIvt/+Spv4mivxFnFN5Dh+b9zHmFc1jXvE8yoJlkoUVQgghhBCTyliKVs0/EOwCaK03K6WW5nBMU4+RAF/o6O2OUyLuBLzhvLl09K0jaWWoKh4S8NpZlLbJuAsIZGPOcuaB/buv9yVwK9A9TlXnxVUR9kQTvHdBxWH7sm2brVu3MnfuXLxeKQY0UfbG9vJEwxP8Ytsv6E53c1rpaXxv5fe4ZPoluF3uiR6eEEIIIYQQOTWWgHerUuoe4EGco4muA7bmdFRTjZkEb+4D3nhiO15vCT5fCa4EJHUct2fIr4DpVGFOuyP4ibM/aFEXcY4kejuWZEFekO2tffg8LoI+N6almV1++Mx0U1MT8XicBQsW5HxeYiTTNrlrw13c/879WNriguoL+Mxpn+GM8jMmemhCCCGEEEKMm7EEvJ8CPgusGXj/IvCjnI3oOJySVZpt2wl4x2FJcyK+g3B4HgAew4PhPuRIoqzzPu0pwme30R9S1A2cwbsjkeacwjBv7d3HoqoCmroSAKMGvC+99BJ5eXnMnz8/R7MRo9kX38cXXvwCb3e+zarZq7jl9FuoCldN9LCEEEIIIYQYd66jNdBap7XW39Narxp4fE9rnT7a9yaC1nqt1vrmSGT0c2FPOmbSec7xkmatbeKJnYTz5mIbFj7tJxuwDhnLwQyvO+0saa6L1JHIWrRmTOqDfjbv6+P0mkJ2djhFrQ4X8EajURobGznvvPNkOfM4e7b5Wa5eezW7e3fznYu/w9cu+JoEu0IIIYQQYsoaS4ZX5NKBgDfHS5pTqb3YdopweB5Wj/P3CpV/yB7OgQxvVvvxJlPEQy6m509nS9LZt+tPWyQNizNmFPL89k6qIgHC/pG/Qtu3bwdg0aJFOZyRGMq0TP5r/X/x4NYHWViykDsuuoPpBdMnelhCCCGEEEJMKAl4J5rhLA3O9ZLmxIEKzXlzMVudTK6ryDe80UCG1zIVbsvGVVSC1+1lVyIGQOveflwKLppTxj0vNVI/ynLmHTt2UF5eTlFRUY5mI4aKG3FufvpmNnVt4roF1/H5ZZ/H5/Yd/YtCCCGEEEJMckdd0nyAUmr082fEsRsMeHOb4Y3HnaxrXt5sEnujAASmFQ5vNJDhxXCWOgdLnbOBdyYzuBVs3N7F8pnFRIJednXEmVOeP6IfwzBobm7mlNpHfQqztc0/v/zPbIlu4b9W/hf/dPY/SbArhBBCCCHEgKMGvEqp85VSWxiozKyUOl0p9cOcj2yqGFzSnNu/J8QTOwgEpuPxhEm19mDaGYprh+/t1IaT4cUwAIhUOEtidybTzAz42NUW48yZRezrS5EyrcPu321ubsa2bWbNmpXT+QjHT97+Cc/tfY4vnPUF3jfzfRM9HCGEEEIIIU4qY8nwfg+4DIgCaK3fAi7K5aCmlMEMb24D3kRiB+HwXADMriQJs4/imhnD2tjxXgCU0Q5AyUyn/Y5EmhqvF9PSzCrLGyxYNadiZMDb1NSEy+VixowZIz4TJ9af9/2ZH278IVfWX8kn5n9ioocjhBBCCCHESWdMS5q11nsPuWQdtqF498ZpSXM63UowOBCExi2SOkYoMnxJs451AxBp3UFLCVQtOQfT1jSmMkQGfuL1ZXnsah+o0Fw2MuBtbGykpqYGn0+W1eZSxsrwH6/9B7UFtXzl3K+glJroIQkhhBBCCHHSGUvAu1cpdT6glVI+pdQ/MrC8+WSjlLpCKXV3X1/fRA9l7MZhSXM2G8eykvh9ZWit8RperKA9Ikiy431YGUVhZzcvL3Ixp2guTakMWQ3epBPxzioN09CVoCjkpShveFCbTqfZt28fdXV1OZuLcHxn3XdojjXz5XO+TMATmOjhCCGEEEIIcVIaS8B7C/D/AtVAC7B04P1J55Q8hzfT7zz7c1elOZPpAMDnr8COmbhw44qMPB/X6u8lm3aOKjIrSwj7wuxMOoWsjL4MxXk+ivJ8tPammF48MiO9Z88etNYS8ObY03ue5pfbf8kNC2/g/KrzJ3o4QgghhBBCnLSOeCyRUsoN/I3W+q/HaTxTT8KpmEyoJGddGIYT8Pp9ZRidznJkT0lwRLt0Xwxf2vkbSFGVE7TuGjiDN9aVYmaJE+S29iSZWzGyQnNjYyNut5vq6uoTPwkBQCqb4pt/+SYLSxay5sw1Ez0cIYQQQgghTmpHzPBqrS3gqnEay9SU6IBgEbhHZlxPlAMZXr+/gnhzJwCBypFZcDMeJz6Q4Z02fT7gFKyq9HvZH00xvSiE1prW3hTVhSMD5qamJqZPn47Xm7u5THUPbnmQzlQnXzr7S3hz+DsjhBBCCCHEZDCWJc2vKKV+oJS6UCl15oFHzkc2VcQ7IK88p11kBjK8Pl85qX29aK3Jnz6yTzOVpi3r7MutrV0KOEcSzQ762deboqYoSHfCIG3aVBcND3iTySRtbW2ynDmHetI93Lf5Pi6ZfglnlJ8x0cMRQgghhBDipHfEJc0DDmwS/NqQaxq49MQPZwpKdEFeWU67MDIduFwBPJ58zK4kWSvBtMp5I9pZRoao4aPMBXNnnonWml3JDJcXFbDO1kwvDtHS45zVe2iGd8+ePQDU1tbmdC5T2d1v300ym5SlzEIIIYQQQozRUQNerfUl4zGQKSvRAdOW5LSLjNGB31fuVGXuyxIze5hTUjqsjdYaX6aFRMZNIOxicaicfRmThGVTaDnVnKcXhdjb41SVrikaXrSqqakJj8cj+3dzpCXWwkPbH2LV7FXUF9ZP9HCEEEIIIYQ4JRx1SbNSqkQp9X2l1JtKqfVKqf9WSuWuwtJUk+jMeYY3k+nA5y9Ha40n7SHtSuByu4e1Sf3ia0wLvIOddmFEQiilBis0+9POkUTTi4Nsau3D53ZRXz78GKWmpiZmzJiBxzOWRQPi3frBxh/gUR4+e/pnJ3ooQgghhBBCnDLGsof3IaAT+CiweuD1L3M5qCkjm4F0X8738BpGB35/OXbCxG17yLjTI9rolrcB8KUUuqgAgJ0Jp0KzFTNRCiojQd7a28uCynz8noMBcyKRoL29XZYz58jW6FZ+3/B7rlt4HRV5FRM9HCGEEEIIIU4ZYwl4i7XWX9daNw48vgEU5npgU0Kiy3nOKz1yu+OUyXTi95WTjQ6cqes3RrTRsXaihMhPalwlTgJ/ZzJNxOOmuztFZUEAt0uxqaWP06cP//HL/t3cuvPNO4n4I3xq8acmeihCCCGEEEKcUsYS8D6nlLpWKeUaeHwM+H2uBzYlJHMf8GazCSwrjs9fTrbTKThlh/SIdioTpZFCIgnwlzkZ553JNHNCflp6ktQUh2jpSZIwLBZVFQz7bmNjI16vV/bv5sAfm/7In/f9mU8v+TQFvoKjf0EIIYQQQggxaNSAVykVU0r1A58BfgEYA4+HgM+Pz/DeHaXUFUqpu/v6+iZ6KGOT6nGeg8U568IYOJLI7ysn25XC1jaER/7YXVY/LXYYjw3hCidw3ZnIMCcvwN5u5wzeAxWapw8pWNXb28uGDRuYN28e7kP2BYvj81bnW3z5pS9zetnpfHz+xyd6OEIIIYQQQpxyRg14tdb5WuuCgWeX1toz8HBprU/KVJPWeq3W+uZIJDLRQxmbwYC3KGddZDKdAPj95WS7kiStPvzh8LA22rZxu9N0Gs4ZvIWVdfSYWbrMLHUBH+2xNNOLg7QeOJJoyBm8r7/+OrZt8973vjdnc5iKTNvkSy9+iYpQBXe95y58bt9ED0kIIYQQQohTzphK6iqlTgNqh7bXWj+SozFNHclu5zmXAa/RDoDPX068q59+I0ogb3jAm+3owBOwiCWc44cKq2rZknD2+xbbLrR2jiFq7k4OFq86YOfOncycOZPCQtnWfSI9vvtxWuIt3PWeu4j4T5E/4AghhBBCCHGSOWrAq5S6DzgNeAewBy5rQALe4zUOGV7DcPYJ+zylZLvaiZndFOTVDWtj7tmB163JGs6P11tays6kU6HZnTQBqC0J8eruKOX5fnweZ2FAT08PnZ2dnHnmmTkb/1TUEmvhjjfuYEnpEi6svnCihyOEEEIIIcQpaywZ3nO11gtzPpKpKNUD3hB4AznrwjCiKOXBlQ5CVhMzeygLLR7Wxtq7HQDXwHm77pISdkWT+F2K3i5nGfOc8nxae5NUFx7M7jY1NQFQX1+fs/FPNRkrw98///dorbn9wttRSk30kIQQQgghhDhljaVK86tKKQl4cyHVm9PsLoBpRPF5S7CTTjCbsZIEDtnDa7U5xwr50iaWS+GORGhMZZgZ8LO7M0F5vp9IyEtrb4rqIQWrmpubCQaDlJWV5XQOU0XCTPD1V7/O1u6tfGPFN5heMH2ihySEEEIIIcQpbSwZ3gdwgt42IAMoQGutT8vpyKaCVE/OA17DjOL1lWAPLE027DT+UN6wNnZXCwDBVJZMvh/lctGYMqgL+djVEWV2eRjL1rT1palecjDDu2fPHmbMmCFZyBOgN93L9X+8nsa+Rv528d9y6YxLJ3pIQgghhBBCnPLGEvDeB/wNsImDe3jFiTAeAa8RxecrwU5mAchYqRFFq+zuNnQxhFJZzKIIttbsSWW4pCif33TE+eiZ1XTGMpiWHqzQ3NXVRXd3N2eddVZOxz8VZKwMa55bQ2uslR+/98dcUH3BRA9JCCGEEEKISWEsAW+z1vqxnI9kKkp1Q+mcnHZhGFFCwVrsxJAM7yEBr451EitVRJIaXVlAW8YkbWuKlYt4JsvsCmf/LkDNQMC7ceNGlFIsXjx8P7B4dzqSHXzxxS/yZsebfOei70iwK4QQQgghxAk0loB3m1LqF8BanCXNgBxLdEKMQ4bXNAcyvJ1OhtewU/jzDi5p1lpDoocel5tIAlwlxTSknB+zayArPKc8TMvAGbw1hUFs2+att95izpw55Ofn53T8k1ljXyM3PnkjcSPO7RfezgfqPjDRQxJCCCGEEGJSGUvAG8QJdN8/5JocS3S8tB4IeItz1oVlJbGs5MAe3ixaaSydxR86WHjK7utDkaFLeSlMgFlays6UAUCmz3meXR7mzWbnCKXqoiC7d+8mFovxwQ9+MGdjn+zWt6/niy98EVvb/OLDv2BOUW4z/UIIIYQQQkxFRw14tdafGo+BTDlmEiwjx2fwdgMMVGk2sdxZfMEQLpf74DD27UMHfXRlFTNscJVV0JjK4FOKjs4ERSEvJXk+WntSFIW8hHweNm7cSDAYZO7cuTkb+2TUne7mjbY3eGj7Q6xrW0dZsIyfvv+nEuwKIYQQQoyRaZq0tLSQTqcneihinAQCAWpqavB6vcf0/aMGvEqpGuD/Ay7Ayey+DKzRWrccU4/CkXIyprkNeLsAnCXNqSxZzGHLmeFgwNufcU6oClfU0JTKMDPoo6Gjhznl+Sil2NeboqowSDKZZNu2bSxfvhyPZywLBKY20zK5b/N9PNH4BA19DQCUBkv54llfZPXc1QQ9waPcQQghhBBCHNDS0kJ+fj61tbVyUsgUoLUmGo3S0tJCXV3dMd1jLBHLz4BfAFcPvL9u4Nr7jqlH4RiHgDed2Q+A3z+NVNLExBhRodnctw8CHpIZN2BSUDmDhmSG2qCfTR1xPrSkEoB9vWlmloTYuHEjlmWxdOnSnI37VGRaJn9q/hPvdL3D622v05vppS/TRzLrFPs6t/Jcrqy/kmUVy1hUsgiv+9j+QiWEEEIIMZWl02kJdqcQpRQlJSV0dnYe8z3GEvCWaa1/NuT9/UqpvzvmHoUj6Sw3zmXAm0k7AW8gUEkytXugQvMhGd7WfXh8YKacgDdYNo2m/SmWh0O8lDSZXRZGa01rb4pz6gp59dUXqK2tpbKyMmfjPhVk7Szd6W46U510Jjv5/obvs7NnJy7l4qyKs5hTNIeIP0LEF2F+8Xwunn7xRA9ZCCGEEGJSkGB3ajnen/dYAt4updR1wP8NvP84ED2uXsXBDG8od0Wr0pn9uFwBPJ4IVsIknU3iLxqZ4fUXZLH7/QB0hfNJ2UmChnPk8pyKMP3pLPFMlr59TbhiMT760Y/mbMzjrSvVRXuyne5UN9F0lGgqSnf64Ou4EcfSFra2sbGxbZveTC/d6W40evA+ed487rzkTi6svhCf2zeBMxJCCCGEEEIcMJaA90bgB8D3cPbw/nng2rhQSi0A1gClwDNa6x+NV985NQ5LmjPp/QQClWBp7JhJwugdsaQ51dBE8ZlpXIZTuXmn2wl8XYkDRxLls6/XOZKob38jH7n0Ympra3M25qFMy8S0TWxtY2kLrfVg8Glpi7gRJ27GMW0T0zLJWBniZpykmcSwDbJ2lqydpd/op7GvEcMyyOostrbRWhMzY+zs2Tmi36AnSHGgmJJgCZFABI/yoJTCrdy4lIsCXwGlwVLKgmWUhpznmQUzifgj4/LfRQghhBBCTBy3282SJUvQWuN2u/nBD37A+eeff8TvhMNh4vH4EdvcdNNN/P3f/z0LFy48kcOd8sZSpbkZuPJYbq6Uug+4HOjQWi8ecv0DwH8DbuAerfW3jtD/VuAWpZQL+OmxjOOkNC57eNvw+yuxep1zdfvTUSJ50wc/14ZBrK0PnyuBK11EOuhhe8YJdBPRFPl+DxUFfl7ZsgeAuTVlXHzxsS/N7U53sz++n32JfeyL76Mt0UZ3upuEmSBuxkmYicFH3Ihj2MZxzP4gj/Iwq3AWAU8Aj/LgdjmBa1mwjA/XfZjaSC0lgRJKgiWUBEoIeUNHv6kQQgghhJiSgsEgGzduBODJJ5/ky1/+Mi+88MJx3/eee+457nuIkUYNeJVS/3aE72mt9dfHcP/7cbLD/zPkvm7gLpyiVy3AOqXUYzjB7zcP+f6NWusOpdSVwJcG7jU5pHrAEwBv7qr0ZjL7KS66gOxAwBtLdVGRt2Dwc2PPHjK+MB5l4klbmGE/25NpSrweWtvj1JeHUUrx3F82AmE+8ZEP4HK53tUYtNa8uu9V7tl8D+va1g37LOgJUhIoId+XT543j2mhaeT58gh7w4S8IfI8eXjd3sHMqku5Bl+7lZs8Xx55njx8bt/gI+wNE/KE8Ll9eF1ePC4PHpcHl3p34xZCCCGEECe3r659hy37+k/oPRdWFfDvVywac/v+/n6Kig4msL7zne/wq1/9ikwmw6pVq/jqV786rL1t29x666288MIL1NXVYds2N954I6tXr2blypXccccdLF++fFhG+De/+Q2PP/44999/P5/85CcJBoNs27aNPXv28LOf/YwHHniAV199lXPOOYf777//hPx3mEyOlOFNHOZaHvC3QAlw1IBXa/2iUqr2kMtnA7u01g0ASqmHgKu01t/EyQYf7j6PAY8ppX6PUzF6BKXUzcDNADNmzDja0CZeqjun2V3LSpHJtBMI1mBFnXPKEtn+YUWrMrt2YYXDaMCfsrAKQuxIpJmXF2BnRxsr55bxzjvv0NQZw+MKM6Ps3Y23L9PHF174Aq/uf5XyYDm3Lr2VOUVzqMyrpCpcRYGvQIoOCCGEEEKIU0oqlWLp0qWk02n279/Ps88+C8BTTz3Fzp07ef3119Fac+WVV/Liiy9y0UUXDX73kUceoampiU2bNtHR0cGCBQu48cZ3t1u0p6eHZ599lscee4wrrriCV155hXvuuYezzjqLjRs3ymkqhxg14NVaf/fAa6VUPs4+2k8BDwHfHe17Y1AN7B3yvgU4Z7TGSqmVwF8BfuCJI4z3buBugOXLl+vR2p00Ur05DXgTiZ2AJpw3j+wuJ8ObyvbjDx0MeI09e7BDQRJKEU5pdGU+OxJpriwt5M1YhlkRxdq1a7ED9VT5Q7hcYw9O2xPt3PTUTbTGW/ny2V9m9dzVUsxJCCGEEEKcMO8mE3siDV3S/Oqrr3L99dezefNmnnrqKZ566inOOOMMAOLxODt37hwW8L788stcffXVuFwupk2bxiWXXPKu+7/iiitQSrFkyRIqKipYsmQJAIsWLaKpqUkC3kMccQ+vUqoY+Hvgr4EHgDO11j3H2efhoqZRA1St9fPA88fZ58kn2Q3B3FVojse3ARAOzyPdm4GQCxubQPhg0SqrpwcdDtPjdhNOQTZSQMyyiVjOj8NsWo9lWXgj5VQH/GPuO2km+dyzn6Mz1clP3/9TllUsO7GTE0IIIYQQ4iRw3nnn0dXVRWdnJ1prvvzlL/OZz3xm1PZajy0vN3QVZDqdHvaZ3z9QZNblGnx94H02m303w58SRt3YqJT6DrAOiAFLtNa3nYBgF5yM7vQh72uAfSfgviilrlBK3d3X13cibpdbyS7IK8nZ7WPxbbhcQYLBGVgxAx1wrg/N8Fq9fei8AN1uF/kpSIULnDZpmwoVo3vfHi6++GI6ElmqCse219iwDL700pfY1r2Nb1/0bQl2hRBCCCHEpLVt2zYsy6KkpITLLruM++67b3DvbWtrKx0dHcPar1ixgocffhjbtmlvb+f5558/7H0rKirYunUrtm3z6KOP5noak9qRMrz/AGSAfwX+ZchfGRRO0aqCY+xzHTBHKVUHtALXAp84xnsNo7VeC6xdvnz5p0/E/XIqGYVQac5un0jsJJw3B6Vc2AkTy+ucq+sfciyR1dsL/gK6cTPNgL5wIQDZ1n28z7edcH4+S89cRvvvn6W6aGwB7+2v385ze5/jn8/5Zy6quejoXxBCCCGEEOIUcmAPLzgZ2wceeAC328373/9+tm7dynnnnQc4RxE9+OCDlJeXD373ox/9KM888wyLFy9m7ty5nHPOOUQiI4+2/Na3vsXll1/O9OnTWbx48VGPNBKjO9Ie3uMua6uU+j9gJVCqlGoB/l1rfa9S6lbgSZzKzPdprd853r5OKbblLGkO5S7DaxidhEKznO7iJlaeCTDsHN5sby+qKky/4WYa0BUupsTrxtj8EikV4J9uvpmetMbWUF0YOGqfbYk2Htn1CNfMu4aPz/94TuYlhBBCCCHERLIsa9TP1qxZw5o1a0ZcPxCwulwu7rjjDsLhMNFolLPPPntwD+7QbO/q1atZvXr1iPsMrcJcW1vL5s2bD/uZOOio5/AeD631YaMerfUTHKEA1bFSSl0BXDF79uwTfesTK9ULaMjLXYbXMLooLDwbrTVWwsDMc860HVqlOR3L4HWliZvOr0FnXgnF2kJl07SGzyA/P5+dzc4q9rL8o+/hvf+d+0HD3y7+2xM/ISGEEEIIISaByy+/nN7eXgzD4Ctf+QrTpk2b6CFNajkNeMfbKbOkOdnlPOcow2vbJqbZg89bgs5YkNVkdBqX243XfzBTm0wp/CqBmXJ+DfZGyvDGY2SUn3BpJQCJjLPxPT/gPWKfPekeHt7xMJfXX05luDIn8xJCCCGEEOJUN9q+XZEbx71sWRyDRG4DXtN0srI+Xyl23FnKnLGS+EN5gxXftG2TML34XQmstBPM7gzmobujNOgyqopCzlAHAt4835H/NvLHpj+SttJct+C6nMxJCCGEEEIIId6tSRXwnjJVmpNR5zlHAa9hOAG1z1eKlXAC3pQZH7ac2Y7FSPuL8KkEpNwANORFiGiL9elyKiNOkap4xtmjEPYfOeB9vOFx5hTNYV7xvBM+HyGEEEIIIYQ4FpMq4NVar9Va33y4SmcnlQNLmnO0h9cwnIDa5ysZzPAmzf5hBausvj4y/mKC7hjehCIR9mJ6vdRECsniZkbxIRlev3vU/vbG9vJ259t8uO7DOZmPEEIIIYQQQhyLSRXwnjLinc5zsDgntz+Y4S3BSjjFqhKpnhFHEqUDRYTdvQTjmv4CpyhVcb4zppklTsAbHwx4R8/w/qHxDwB8qO5DJ3gmQgghhBBCCHHsJOCdCB1boHAmeI9+1M+xMMwDGd6De3hjyR78oYNLmq2+PtL+IoLuHsIxm97wQBVm7QS6M4YEvB6Xwu85/K+K1ponGp7gzPIzpViVEEIIIYSY9Nra2rj22mupr69n4cKFfOhDH+Luu+/m8ssvP2z7m266iS1btozzKMUBkyrgPWX28LZvhmlLcnZ7w+jC5fLhdoex4ybK7yadOGRJc28vRqCAhIpT3A/RkBPg9vdmKM7zUTBQlTmRyRIOeAaLXR1qR88OdvftluyuEEIIIYSY9LTWrFq1ipUrV7J79262bNnCf/7nf9Le3j7qd+655x4WLlw4jqMUQ8mxROPNSEB0NyweeeJHcyoAACAASURBVJD0iWIaUbzeEpRSWAkTd9hLJpkYVrTKiPbiCXjpyHjJT0PTtErCCjqiycH9u+BkeI9UofnJpidxKzfvq31fzuYjhBBCCCHECH/4ErRtOrH3nLYEPvitUT9+7rnn8Hq93HLLLYPXli5dSm9vL8888wyrV69m8+bNLFu2jAcffBClFCtXruSOO+5g+fLlhMNh1qxZw+OPP04wGOR3v/sdFRUVrF27lm984xsYhkFJSQk///nPqaioOLFzm6ImVYb3lNCxFdAwbXHOujCMLnw+pyCWnTBRIQ+WaQ5b0hyPJgl5euntdpYyb62dy9xwkLa+NNVFwcF2iUz2iBWan21+lmUVyygO5GY/shBCCCGEECeLA8Hs4WzYsIE777yTLVu20NDQwCuvvDKiTSKR4Nxzz+Wtt97ioosu4qc//SkAK1as4LXXXmPDhg1ce+21fPvb387pPKaSSZXhPSX48uDMG6DqjJx1YZhRfL4yAOy4AflOheVA+OCS5nhPhpAriRn1Ynjgnbln8qFwkFfSWfKHBLiJjDVqhebGvkZ29+3m6nlX52wuQgghhBBCHNYRMrET4eyzz6ampgZwsr5NTU2sWLFiWBufzze413fZsmU8/fTTALS0tHDNNdewf/9+DMOgrq5ufAc/iUmGd7yVL4Arvw+Rmpx1YRjRwQyvFTexfRpgWIY3HTfIc/Xg6vHQXKboC1QwOxQgkckOq8gcP+T9UL/Y+gs8Lg/vmynLmYUQQgghxOS3aNEi1q9ff9jP/H7/4Gu32002mx3Rxuv1DtbGGdrmc5/7HLfeeiubNm3iJz/5Cel0Ogejn5omVcB7yhStyiGt9WDAq22NnTCxPBbAsKJV6YRJyB3FG1dEIx5QLmoDPhKGNSzAHW1Jc8JM8Ntdv+XDdR+mPFSe+4kJIYQQQggxwS699FIymczgUmSAdevW8cILLxzXffv6+qiurgbggQceOK57ieEmVcCrtV6rtb45EolM9FAmTDbbj9YmPm8JdioLGrIu52iioefwZtKafM9egnEXyeJ8AIpczq9DeMgS5vgoAe9LLS+RttJ8ZPZHcjkdIYQQQgghThpKKR599FGefvpp6uvrWbRoEbfddhtVVVXHdd/bbruNq6++mgsvvJDS0tITNFoBsod30jGMIWfwJpxA18QAGFalOWOAz94HWbCrZgJQgLO8IjRQlXn9nm7296UPu6T5T81/ojhQzBnluduLLIQQQgghxMmmqqqKX/3qVyOuf/rTBw+K+cEPfjD4+vnnnx98HY/HB1+vXr2a1audk1uuuuoqrrrqqhyMVkyqDK9wKjQD+HwlTsEqIKOTwPAlzRnLRZcdc75TORcX4Ledzw5kdL/5xDYAFlYVDOsja2f5c+ufWTl9JW7X4QtaCSGEEEIIIcREk4B3kslmewHwegux4k6GN511Al7fQNEqnc2S8mnaTKeYVf+0xZT7vKQNJ+I9kNFtj6X5yNIqPrZ8+rA+NndtJmbGOL/q/NxPSAghhBBCCCGOkQS8k4xlORXd3O7Q4JLmdDaOx+fH4/U6bfr7cUXidKZ9ALQUz2Sa30s841SJy/O70VrT0Z+hvCAwoo8XW17EpVycW3nueExJCCGEEEIIIY7JpAp4pUozWHYKAJcr4GR4FSRSfQSG7N+1evtw5/XSZzqZ3F3BEJV+L4mBgDfs9xDLZMlkbcrC/mH3T2fTPLzzYS6ouoCIf+oWBxNCCCGEEEKc/CZVwCtVmsGynOXLbncQO2HiCnnIpOLDKjRbvb3E8nqwTYUV8NJqWE7AazgBb8jnoTOWAaC8YHjA+9Sep+hOd3PDohvGaUZCCCGEEEIIcWwmVcArwB5c0hzEjhu48nxkEgn8oYMZ3nR3lO5QlKABhELELJtZIT+JjHNeb9jvoaPfCXgPzfD+ofEPVOVVcfa0s8dnQkIIIYQQQghxjCTgnWScJc0ulPJhxU3cYS/pRJxA+GCGt2FvK3FPilAG7IHM75xQYHBJc57fTWd8ZIa3L9PHa/te47K6y1BKjd+khBBCCCGEOEm0tbVx7bXXUl9fz8KFC/nQhz7Ejh07eP7557n88ssP+52bbrqJLVu2nNBxNDU1sXjx4mHXbrvtNu64444T2s+hDp3nv/7rv3LZZZeRyWRy2u+xknN4JxnLSuF2B1FKYSdMvJV5ZJIJSqoPVlre0dFFLGAQMjSZPOfIodkhP29mDi5p7uh3MsVl4YNFq17d/ypZneXS6ZeO44yEEEIIIYQ4OWitWbVqFTfccAMPPfQQABs3bqS9vf2I37vnnnvGY3jj7j/+4z945ZVXeOKJJ/D7/Uf/wgSQgHeSsQcCXgArbuLP85KJH9zDq7VmbypBX16WgjTECoKE3C6qBopWBb1u3C5FZzyDz+OiIHjwV+Tllpcp8BWwpHTJhMxNCCGEEEKIA25//Xa2dW87ofecXzyffzr7n0b9/LnnnsPr9XLLLbcMXlu6dCngZD7j8TirV69m8+bNLFu2jAcffBClFCtXruSOO+5g+fLlhMNh1qxZw+OPP04wGOR3v/sdFRUVrF27lm984xsYhkFJSQk///nPqaioOOa5bNy4kVtuuYVkMkl9fT333XcfRUVFrFy5knPOOYfnnnuO3t5e7r33Xi688EKSySSf/OQn2bZtGwsWLKCpqYm77rqL5cuXH/b+3/3ud3niiSd48sknCQad+OOZZ57hH//xH8lms5x11ln86Ec/wu/3U1tbyw033MDatWsxTZNf//rXzJ8/n87OTj7xiU8QjUY566yz+OMf/8j69espLS095nkfSpY0TzKWncLlCqItG53KOkWrksnBKs3RaJQUNj0ei7ABPb4As0N+Xmvo5p6XGwn53AB09mcoC/uHLV3+S9tfOLfyXNwu94TMTQghhBBCiIl0IJAdzYYNG7jzzjvZsmULDQ0NvPLKKyPaJBIJzj33XN566y0uuugifvrTnwKwYsUKXnvtNTZs2MC1117Lt7/97aOOZ/fu3SxdunTw8eMf/3jws+uvv57bb7+dt99+myVLlvDVr3518LNsNsvrr7/OnXfeOXj9hz/8IUVFRbz99tt85StfYf369aP2+8orr/DjH/+YP/zhD4QHtk6m02k++clP8stf/pJNmzaRzWb50Y9+NPid0tJS3nzzTT772c8OLrv+6le/yqWXXsqbb77JqlWraG5uPuqc3y3J8E4yzpLmAHbSWZ6sfaC1PVi0qqGhAYAur0Uoo+jy+pkTCvDSzk4A/u2KhQB0xjOU5R9clhBNRWlLtHHdguvGczpCCCGEEEIc1pEysRPl7LPPpqamBnAyv01NTaxYsWJYG5/PN7gHdtmyZTz99NMAtLS0cM0117B//34Mw6Curu6o/dXX17Nx48bB97fddhsAfX199Pb2cvHFFwNwww03cPXVVw+2+6u/+qvB/puamgB4+eWXWbNmDQCLFy/mtNNOG7Xf2bNn09PTw1NPPcXq1asB2L59O3V1dcydO3ewz7vuuou/+7u/G9HnI488Mtjno48+CsAHPvABioqKjjrnd2tSZXjlHN4DS5pD2EkTAMvtBL7+gb+8bN68GW/Wosej8RnQ5fUxO+RnW1uMeRX5XLW0GoDOWIbyIQHvgeUiC4oXjOd0hBBCCCGEOGksWrToiJnPoftY3W432Wx2RBuv1zu4inJom8997nPceuutbNq0iZ/85Cek0+kTPPqR4xzav9b6sG0fffTRwQzyG2+8AUBFRQVPPPEEn//853nuueeO+P1j6fNEmlQBr5zDC5adxuUKYCecgNdUznMgFKa9vZ3m5ma86QRojcfQJAJB5oQCbG+LMb8yf/A+HbHhGd6t3VsBmFc8bxxnI4QQQgghxMnj0ksvJZPJDC5DBli3bh0vvPDCcd+7r6+P6mon+fTAAw8MXn/99de5/vrr39W9IpEIRUVFvPTSSwD87//+72C2dzQrVqzgV7/6FQBbtmxh06ZNAKxatYqNGzeycePGYft5586dyyOPPMJ1113Hxo0bmT9/Pk1NTezateuY+nzqqafo6el5V/Mci0kV8AqwrCRudxAr4fzVxMQpD+7Py+ONN97A7XaTzsbwZUFpSAaDVHrctPammDfNCXhNy6Y7YVCef7BC87q2ddSEa4j4p+4fE4QQQgghxNSmlOLRRx/l6aefpr6+nkWLFnHbbbdRVVV13Pe+7bbbuPrqq7nwwguHFW1qbm4eLAr1bjzwwAN84Qtf4LTTTmPjxo3827/92xHb/z//P3t3Hh1Vffdx/H3nzj6ZLBASEIEgiyCLESIoCoJWwadStUVttSqoIIoVqbZVn2Or1l2rFW2x+ggoxbohKigtLlCwQlkDIsgihp2EQLbZ7/b8cSdDIjsSQobv6xw09869v/ndTDiHT76/5fbb2bVrFz179uTJJ5+kZ8+eHKqQePbZZzNp0iR+8pOfsG3bNiZNmsRVV11Fjx49cDgc9Rb32p8//OEPzJ49m169ejFr1ixatWpFMBg86D1HSjkeZeTjraioyKott59sFiwcTEZGZ9qH7qfy/Q1E/0flw788xtUPP82UadPp0rkzcxa/S3Gbr3j5RZNnf3ET1/z8Rm6ZtJjXb+rDgM4t2FEV5dzHP+exK3twbd+2fFv5LVd8cAVjCscw+syD/9AKIYQQQgjRUNasWUPXrifXFLvf/OY3XH/99QedU3ssGIaBpml4vV6+/fZbLrroItatW4fb7W6w94zH46iqitPpZMGCBdx222315iTX2t/nrijKUsuy9r+EdB2yaFWaMc0oap0hzXE9AsDqDd+SSCQo6tKFaRsqKYiY9g2BDBZv3I1LVSgqsCeJ76qxq8K1c3jnbpkLwLDOw47jkwghhBBCCCGefvrp4/I+kUiEQYMGoWkalmUxYcKEBg27YFevr776akzTxO121xsqfqxI4E0zhhHFofowIxqKRyUeDWN4vCxZbo+rb4FCRbCKol064MSZkcGXG3ZzVtsc/G77x6E28OYmA++Wmi008zYj13fs9sMSQgghhBBCnDiCwSDHe5Rsp06dWL58eYO+h8zhTTP2tkQ+zLCGI+AiHgkRz2uD2+Phxz/+MfquMio9UU4J2xVeZ2aQ1TuqKWq3dwnwiuQKz8389m90Ntdspk2wzfF/GCGEEEIIIYT4ASTwphHLspJDmn0YER1HwEV1VTVGIJPevXsTDAYJle6gxmXQosae+B7LycUwrdSCVQCVkQQA2QEXYFd42wbbHv8HEkIIIYQQQogfQAJvGjFNe68uR7LCqwZc7KysAkVJTXLfVLYFgGZRP6aiUBPIBqBjXkaqnYpIAtWhEPQ4iRtxSsOlUuEVQgghhBBCNDkSeNOIYUQB9g5p9jupjMZxmkZqafNNZdsACEbd7MnMIq6BQ4EOLeoGXo1sn70h9taarVhYnBo89fg/kBBCCCGEEEL8ALJoVRqprfCqjr1zeEOGiT/5aw3LNNm6exN0Al/UwaacHMLVCdo28+N1qal2KiMJsv32cOY1e9YA0Dmn8/F9GCGEEEIIIU5AqqrSo0eP1PH7779PQUFB43VIHFRaBV5FUYYCQzt27NjYXWkUhmFvQaRYbkzNJKzG0VEIJldfjq1ew+6AvQKzo0an7JTm7KmIclZ+/c2dK8IaOckFq74u/xqv6qVDdofj+CRCCCGEEEKcmHw+3373iq2l6zpOZ1rFrCYtrT4Jy7JmADOKiopGNnZfGkPtkGZFs7cT2hopBSAn4Acgvn49VZk6Qd3Aqgizq1tzyvdE6dyjeb12KqMarbPtRa2+3v01XZp1welIqx8VIYQQQgjRxO187DHia745pm16unah5f33H/F9kydP5qOPPiIWixEOh/nwww+5/PLLqaioQNM0HnnkES6//HJKSkq49NJLOf/88/nyyy9p3bo1H3zwAT6fjw0bNjB69Gh27dqFqqq88847dOjQgaeffpq3336beDzOlVdeyUMPPXRMnzndyRzeNGIkhzQrCXs4cknFNhRDJyfTruAalZWEfDot4yZKPMGeYBZm3KRTXv0Kb2UkQY7fhWZorNm9hu653Y/vgwghhBBCCHGCikajFBYWUlhYyJVXXpk6v2DBAl577TU+//xzvF4v06dPZ9myZcyZM4e7774by7IAWL9+PWPGjOHrr78mOzubadOmAXDdddcxZswYVqxYwZdffkmrVq2YPXs269evZ9GiRRQXF7N06VLmzZvXKM/dVEnZLo2YtUOaE05MTErKtqCGqvAGugJgVFQQ9iZoGTMAJ2GfD0Uz6ZSfUa+diuQc3pXlK4kZMYpaFh3vRxFCCCGEEOKgjqYSeywcaEjzxRdfTLNmzQB7u9D777+fefPm4XA42LZtG6Wl9ujL9u3bU1hYCEDv3r0pKSmhpqaGbdu2pQK01+sFYPbs2cyePZuzzjoLgFAoxPr16xkwYECDP2e6kMCbRgwjWeGNOdnqKCMaj+GtrsDjt4c06xWVhE7V6FZt/3Yp4vVDtclpuXsDb0wziGkm2X43/90xF4fioChfAq8QQgghhBAHEwgEUl9PnTqVXbt2sXTpUlwuFwUFBcRi9r/VPR5P6jpVVYlGo6nq7/dZlsV9993Hrbfe2rCdT2MypDmNGKY9h5eYk/XqDnxeL85QFZ7kX75YZZiQUyMnkVzEyuPF53Dgc+9dobkikgAg6HUw67tZnNHsDLI8Wcf3QYQQQgghhGjCqqqqyMvLw+VyMWfOHDZt2nTQ6zMzMzn11FN5//33AYjH40QiEQYPHszEiRMJhUIAbNu2jbKysgbvfzqRwJtGaldpjteYbHLsomNBOxQsvH67gltTrVGjGuRo9grMCa+PbJ+rXhsVYQ2AFXu+pKS6hDFnjTmOTyCEEEIIIUTTd91117FkyRKKioqYOnUqXbp0OeQ9U6ZMYfz48fTs2ZN+/fqxc+dOLrnkEq699lrOPfdcevTowbBhw6ipqTkOT5A+ZEhzGjGTQ5q/Ld2OqVicdmprSiBV4S3TdEwFsk0foJFwecn6XuCtTFZ4v9w5m/Pansf5rc8/jk8ghBBCCCHEia222lrX8OHDGT58eOo4NzeXBQsW7Pf+VatWpb6+5557Ul936tSJzz//fJ/rx44dy9ixY39Aj09uUuFNI7VDmtfs2koOGWS47TDr8duBd5diAJBp2XN6o04Pmb76v/OoiNgV3ip9B9d1ve649FsIIYQQQgghGoIE3jRi78OrsjNcQWe1NYmoPcTZE8jAsizK3QoAmYq9x25U3bfCu6psIwAXtCuS6q4QQgghhBCiSZPAm0ZMI4qi2Ku+FbhbEo+EAXtIsxWJUB2wA68/WeENK24y6wTeqngV76z5GICH+/8ORVGOZ/eFEEIIIYQQ4piSwJtGDDOKZbpQUMh0ZRAPJwOvz49eUUE4aA9X9ppeDIeDiKGkKryVsUru+OwOaqImHqdCi0B2oz2HEEIIIYQQQhwLEnjTiGFEMUwnQacfp9tJPBLC7fPhUFX00lIi/jgALt1D2OtDj5upwPvYfx/j691f0yu3P80DnoO9jRBCCCGEEEI0CRJ404hpRNF1B9lqBorTQSwcxp1csCq2bSdRb5SgYaJrChGvDzSTTK+L+VvnM6tkFiN7jsTvaEG2393ITyKEEEIIIYQQP5wE3jSiGxG0hEKWI4DidBAPh/EmA2/N1t3EXDXkmAaJmEHE60PRTNZG/slv5v2G9lntubn7zVREEmT7XYd4JyGEEEIIIU5OpaWlXHvttZx22mn07t2bc889l+nTpzd2t8QBNInAqyhKQFGUpYqiXNbYfTmRaVoYXXeQqfjtwBsJp/bgjZXtIeoMk2OYJGIaEa8Ph1XB7J2vUJBZwPODnsetuqmKahJ4hRBCCCGE2A/LsrjiiisYMGAAGzduZOnSpbz55pts3br1sO43DKOBeyi+z3noS46eoigTgcuAMsuyutc5PwR4HlCB/7Ms64lDNPU74O0G62iaSCRCGKZKMyWI4rIrvBnNmgEQL68k3DJGSxNCVXuIeIN486bgMFSeG/gcrTJaARBJGATcDfpjIYQQQgghxA82/+11lG8JHdM2c9tk0P/qzgd8/fPPP8ftdjN69OjUuXbt2vGrX/0KwzC49957mTt3LvF4nDFjxnDrrbcyd+5cHnroIVq1akVxcTEff/wxQ4YM4fzzz2fhwoWceeaZjBgxgj/84Q+UlZUxdepU+vTpw6JFi7jrrruIRqP4fD4mTZrE6aefzuTJk/nwww+JRCJ8++23XHnllTz11FO8+uqrrFq1iueeew6AV155hTVr1vDss88e0+9RU9PQFd7JwJC6JxRFUYG/AJcCZwC/UBTlDEVReiiKMvN7f/IURfkRsBoobeC+NnmaFsY0nORYySHNkRCeQAYAsYoaQk6NTFQiu3dSHQhiVHbiyb6vp8IuQDiu43erjfUIQgghhBBCnLC+/vprevXqtd/XXn31VbKysli8eDGLFy/mlVde4bvvvgNg0aJFPProo6xevRqADRs2MHbsWFauXMk333zDG2+8wRdffMEzzzzDY489BkCXLl2YN28ey5cv5+GHH+b+++9PvVdxcTFvvfUWX331FW+99RZbtmzh5z//OR9++CGaZu/MMmnSJEaMGNGQ344moUFLeZZlzVMUpeB7p/sAGyzL2gigKMqbwOWWZT2OXQ2uR1GUQUAAOxxHFUX52LIscz/XjQJGAbRt2/ZYPkaTYRhxHGoQr+5KzeH11C5aVR2hxmngiGpkRlxUZQTRdlxI26xT67UR1Qz8HqnwCiGEEEKIE9vBKrHHy5gxY/jiiy9wu920a9eOlStX8u677wJQVVXF+vXrcbvd9OnTh/bt26fua9++PT169ACgW7duXHTRRSiKQo8ePSgpKUndf+ONN7J+/XoURUkFWYCLLrqIrKwsAM444ww2bdpEmzZtuPDCC5k5cyZdu3ZF07TUe5zMGiPZtAa21DneCvQ90MWWZf0vgKIow4Hy/YXd5HUvAy8DFBUVWceqs02JaSbwegKgm+BUiEcieAMBZpfMJmyE0RXIxEMgplGVEQTdxOvcW81N6CaaYeF3SYVXCCGEEEKI7+vWrRvTpk1LHf/lL3+hvLycoqIi2rZtywsvvMDgwYPr3TN37lwCyXV1ank8e7cBdTgcqWOHw4Gu6wA88MADDBo0iOnTp1NSUsLAgQP3e7+qqql7brnlFh577DG6dOki1d2kxli0StnPuUMGVMuyJluWNbMB+pMW4vE4pqkTCGRiaSYWJpZl8sGWj7l77q+JeOyPurP3NAAigSCKBV733h+BaMKeRC8VXiGEEEIIIfZ14YUXEovFmDBhQupcJBIBYPDgwUyYMCFViV23bh3hcPio36uqqorWrVsDMHny5MO6p2/fvmzZsoU33niDX/ziF0f93umkMQLvVqBNneNTge3HomFFUYYqivJyVVXVsWiuSdm0aRMOh0FmZjMs3US37N/ybIiVMK7bGMIe+/cMOWYQgGhGJgDeOtXccMK+R+bwCiGEEEIIsS9FUXj//ff597//Tfv27enTpw833ngjTz75JLfccgtnnHEGvXr1onv37tx6662pyuvR+O1vf8t9993Heeedd0SrO1999dWcd9555OTkHPV7p5PGKOUtBjopitIe2Ab8HLj2WDRsWdYMYEZRUdHIY9FeU7Jx40YcqklmMAcsMEz7L1dudktuKBjGXzIWAJBpJhexCgShHHx1Am+ktsIrgVcIIYQQQoj9atWqFW+++eZ+X3vsscdSi07VGjhwYL3hyAUFBaxatSp1XLd6W/e1c889l3Xr1qVe++Mf/wjA8OHDGT58eOr8zJn1B8F+8cUXjBs37oieKZ01aIVXUZR/AAuA0xVF2aooys2WZenAHcC/gDXA25Zlfd2Q/Uh3hmHw1Vdf4XCYqA43AKXhHQD0adcPMxwm5rOHVvg1LwCxQCaqQ8Gl7v0RiKQqvDKkWQghhBBCiKaksrKSzp074/P5uOiiixq7OyeMhl6leb8Dxy3L+hj4+Fi/n6IoQ4GhHTt2PNZNn9A2bNhAOFyDolgolv2Rfr3rKwAu6jwYIxwm5rXDrDeuEgYi/gx8rni9dmorvAGp8AohhBBCCNGkZGdn16sIC1tjzOFtMJZlzbAsa1TtEt0ni61bt6Kq9rpfiuWyz1VvBiA7KxczFCbqtSu8rqh9T9gXxOuq//HXVnh9EniFEEIIIYQQaSCtAu/JqrS0lNxce1J6beAlObHd4w9ghsNE3Tpu00KJ6ES8PkxFrbdgFdSp8MoqzUIIIYQQQog0IIE3DZSVldGihR14dd2u9OZ5mwN1A69GpmmiV4SoyMwGw9w38MZl0SohhBBCCCFE+kirwHsybksUj8eprKykRYtmALyx2l4xrrWvJS6PF9XptAOvSyPLNNAra9idlY1lWPVWaAZZtEoIIYQQQgiRXtIq8J6Mc3i3bdsGgBKwq7MZDnt/Xb/ixRMIAKQCb6Zpou+ppDwzG1M395nDG5ZtiYQQQgghhDiojIyMxu6COAJpFXhPRhs3bsThcDBr9wwALiu4HIB4IozHbwdePRQm4tTJNC308j3szsrG1K19hjRHEwYOBTxO+bEQQgghhBDicBnJ9XPEiUfGrjZx3377LZFAhBW7l/KjlhBQ7QpvPLo38NZUaYROSdCs2sSKRtmTlY2hGXhdrnptba+M4nWpKIpy3J9DCCGEEEKIIzFn8suUbdp4TNvMa3cag4aPOqxr586dy0MPPUSrVq0oLi5m9erVXHHFFWzZsoVYLMbYsWMZNcpuKyMjg7FjxzJz5kx8Ph8ffPAB+fn5x7TvYv/SqpR3ss3hjUQi7Nixg43qRn511m32SdOu2kbDNfgy7fC7Rt9DhStBYZW9oNXurBwMzaw3h/fzb0p5b/k2WaFZCCGEEEKIw7Ro0SIeffRRVq9eDcDEiRNZunQpS5YsYfz48ezevRuAsIBN2AAAIABJREFUcDjMOeecw4oVKxgwYACvvPJKY3b7pJJW6cayrBnAjKKiopGN3ZeGtmLXCiZ/Npkssmhxagv6terD0h3gMJ2YQCRcTV7Q/q3RfN8mFAvOqVGpAnZnZqNrJt7Mvb/v2FAWAuCZq85shKcRQgghhBDiyBxuJbYh9enTh/bt26eOx48fz/Tp0wHYsmUL69evp3nz5rjdbi677DIAevfuzSeffNIo/T0ZpVXgPVlYlsWjCx/Fu81LpprJH4b8AUtLDudIVngjNZX4kxXejb5y2sfcBDSLKgz2ZGajVRr1Krx7whpu1cGATrnH/XmEEEIIIYRoigLJRWLBHuL86aefsmDBAvx+PwMHDiQWiwHgcrlS0wZVVUXX9Ubp78korYY0nyzmbJnDmj1r6O7tTvs27cnLyMM0NQAU0/4dhm4k8GXaq1XvdodpqYFpegAI+f1oCaPeolV7wnFyAi6ZvyuEEEIIIcRRqKqqIicnB7/fzzfffMPChQsbu0sCCbxNTlW8iheWv0DbYFuccSe1WzBZlh14MewQa1oG/swsLMuiyltDS93CNOxFqqJeH3rC/F7g1cjxu4/vwwghhBBCCJEmhgwZgq7r9OzZkwceeIBzzjmnsbskSLMhzYqiDAWGduzYsbG70mB+N/93lFSX8Kf+f2L+V/NTgbe2wuswXRjYgdeXmUVlvBJN1WllODB1++OOerw4jVC9wFsRSdAsIIFXCCGEEEKIgwmF7LVvBg4cyMCBA1PnPR4Ps2bNOug9AMOGDWPYsGEN2kexV1pVeC3LmmFZ1qjaEJiO1u1Zx9DThtIruxeWZe0NvFbCviBZ4TWSFd7tVVsAOEU3MA0V0+fDdDjAtPC59n78FWEJvEIIIYQQQoj0klaBN91ppkZ5tJyWgZbUbr2UGtJcO4c3GXgtTHyZmWwrtxezam0kMDUHht+fvM6qV+HdLYFXCCGEEEIIkWYk8DYh5ZFyLCzy/fn7BF4zOYdX0VUsxd5v15eZxdY9JQC0MUIYugPdn1xJzrDwue3AqxsmVVGZwyuEEEIIIYRILxJ4m5DSSCkA+YF9A29thRdDxVJMnB4PLreHjZUb8CX85JlhTN2B5vPZ15kWHqcdeCuj9r1S4RVCCCGEEEKkEwm8TcjOyE6AVIXX5/PhdtshtbbCi65iYuINZACwMbSZ3Ghz+5qERcJnD2nGsPAm5/DuCdvzfyXwCiGEEEIIIdJJWgVeRVGGKorycm31M92UhutXeOsuzmWZdmh1GHsDr2VZfJfYQV4sOew5bhD3+3EBCuBLzuHdVRMHIDfDc/weRgghhBBCCCEaWFoF3nRfpXlneCc+p4+gK7hP4DWTgRddxbQMPIEMyiJlhIhxStyet2vGdGJeH25FAUgtWlUesgNvi6AEXiGEEEIIIQ4mI8MeSVlSUsIbb7xxyOtLSkro3r17Q3dLHEBaBd50VxoppWWgJYqi7Bt4LQ1QsAwwTB1vRgaLdi4CoH3Ua18TjRP2+vAlA2/tolW1Fd4WUuEVQgghhBDisBxu4BWNy9nYHRCHrzRSSr4/n1gsRjwe/96QZg2HwwV6MvAGMphZ8i9yjQCnxxxYLjAiUUIeL14UQoDXuTfwulUHmT75cRBCCCGEEE1D5YxvSWwPH9M23acEyB7a4bCuvffee1mzZg2FhYXceOONXHnllVx//fWEw3afXnzxRfr161fvnv79+/PCCy9QWFgIwHnnnceECRPo2bPnMX0OsZdUeJuQ0nDpfrckArvCqyhuMEwMU0MJePly+5ecGy4g4KjGtFyg61R7vHhIDml22x//rlCcFkEPSrLyK4QQQgghhDi4J554gv79+1NcXMy4cePIy8vjk08+YdmyZbz11lvceeed+9xzyy23MHnyZADWrVtHPB6XsNvApKTXROimTnm0nPxAPnv27AEgOzs79bppajgcbkzdRDc0dnqr0WIaXWvy8Dm2oinNAKj0eHGb9j3eOotW5WbICs1CCCGEEKLpONxK7PGiaRp33HEHxcXFqKrKunXr9rnmqquu4o9//CNPP/00EydOZPjw4ce/oycZCbxNxO7obgzLIN+fT9nOMgBatGgBwJ49/2Hbtr/jdudiJnRMy2CTuguADpXN8DjWohsZQJRyXwCXZbfpSy1alaB1tve4P5MQQgghhBDp4rnnniM/P58VK1ZgmiZe777/vvb7/Vx88cV88MEHvP322yxZsqQRenpykSHNTURpxN6SqGWgJWVlZWRnZ+PxeAiF1rLyq9txuZrTrt3oVOBdb26mfVZ7vFEnTiWOFrMruJuym+E0LFSHgkt18Own61izo1pWaBZCCCGEEOIIBINBampqUsdVVVW0atUKh8PBlClTMAxjv/fdcsst3HnnnZx99tk0a9bseHX3pJVWgTed9+HdHtoOQJ4vl/LyjbRsFSAS+Y4VK0eiqn76nP0+bduMwNQNdrkqWBn9hovaXoSeMHEqcfSI/VGXZDVDNfZWdxdu3A3A8H7tG+fBhBBCCCGEaIJ69uyJ0+nkzDPP5LnnnuP222/ntdde45xzzmHdunUEAoH93te7d28yMzMZMWLEce7xySmthjRbljUDmFFUVDSysftyrC0tXUqWy0v52nF0Pn0DAAsWPoHD4aV3r3/g9Z4CgKUZfNlsNRZwVeerKNFexkkCI+IDVWVPVg4dYiZelx2AqyIag7vlc3rLYGM9mhBCCCGEEE1GKBQCwOVy8dlnn9V7beXKlamvH3/8cQAKCgpYtWpV6vz27dsxTZNLLrnkOPRWpFXgTWcLdyzkly2CxKLfsn1bH/r1uwiv10dW1lkEg2ekrrN0k60Zu2jly+eUjFPYoNkV3mjIi5KXh+lwoOhWasGqikiCQl/2gd5WCCGEEEIIcYy8/vrr/O///i/PPvssDkdaDbY9YUngbQJW7lrJlurvaB80KS9vx/nnP8ppp52232stw6LMW0nboL1qnaYrOJUEeo2Okd/Wvkgz8LpULMuiMqqRHXAdr0cRQgghhBDipHXDDTdwww03NHY3Tirya4UTXFgLc+/8e7k4JwOnI47bfcEBwy6AZZiUeaton23PyY1afnsOb41GokWefU3CxOdSiWkmCd0k2ydbEgkhhBBCCCHSj1R4T3B/XT6eKzwb6eDTqKrMo2vXYQe9vkKpJq5qFCQDb8QRxKXE0UMJYtk5AJgJew5vZTQBQLZfKrxCCCGEEEKI9CMV3hPYd999R3Dtf+jg0ygt7UBW9u/o3Pn0A14f1sLc3+YFAAoyCwCIuLJxmAmshEFNhr0wlRGzhzRXRjQAsn0SeIUQQgghhBDpRyq8J6h4PM6096ZRcFoZNdE8+pz9Vzp27HjQe8YvG89WTylnVrWnMK8Qy7KIu4NYmgXAHn8AVQEtquEPuFOBN0sqvEIIIYQQQog0JBXeE9TatWsJ1YTwZFSQ3bLbIcNuTI/x3vr3uLjyXEaXDsXv8hPeE0FxKhhx+2Mu8wVo4XIRiRsEPE4qI/aQ5hy/zOEVQgghhBDicGRkZDR2F8QRkMB7AorFYqxZswZ3RgK/anJKs16HvGfRzkXEjBgDqnuhuu3CfdWOGlxKPBV4d/gC5HuchBM6GR4nldHkkGap8AohhBBCCCHSkAxpPsH897//ZdasWQBkdqgAoHlmt0Pe9/F3H+Nz+ugZ6Ux55nYAQuUhnHUC71aPj3y3i41xPVnhTQ5pljm8QgghhBCiiZk1axY7d+48pm22bNmSSy+99JDXhUIhLr/8cioqKtA0jUceeYTLL7+ckpIShgwZQt++fVm+fDmdO3fm9ddfx+/38/DDDzNjxgyi0Sj9+vXjb3/7G4qiMHDgQPr27cucOXOorKzk1VdfpX///sf0uU5maVXhVRRlqKIoL1dVVTV2V47azp078Xq9DBkyhETuZgD8/gMPZ45oEe6ffz8fbfyIq0+7CrflQvXaQ5RDu6M4lUQq8Ja4/bRwOdEMiwyPk+qYhlt14HOpDf9gQgghhBBCpAmv18v06dNZtmwZc+bM4e6778ay7HVz1q5dy6hRo1i5ciWZmZn89a9/BeCOO+5g8eLFrFq1img0ysyZM1Pt6brOokWL+POf/8xDDz3UKM+UrtKqwmtZ1gxgRlFR0cjG7svRCoVC5OTkcM455/Dvj3ego+L1ttrnuoSRYPXu1fyz5J/M2DiDvi37clPHG4mwFpfHA0C4IobLCmMk7MC7yeNjsGqHW79bZXtllEyfE0VRjt8DCiGEEEIIcQwcTiW2oViWxf3338+8efNwOBxs27aN0tJSANq0acN5550HwC9/+UvGjx/PPffcw5w5c3jqqaeIRCLs2bOHbt26MXToUAB++tOfAtC7d29KSkoa5ZnSVVoF3nRQU1NDMBhEMzQChNDUZijKvoX455c9z+urXwfg4nYX8+zAZwlv30MEcNYG3so4Pn23XeF1u0i43QST4TbgcVId08n0ynBmIYQQQgghjsTUqVPZtWsXS5cuxeVyUVBQQCwWA9inmKQoCrFYjNtvv50lS5bQpk0bHnzwwdT1AJ7kv99VVUXX9eP3ICeBtBrSnA5CoRDBYJBtoW3kO02cnlP3uaY8Ws7ba9/morYX8X+X/B9P9n8SACNhz8l1OO2PNVQRJ1i5mT1rM1CCAQCcpt1GhsdJdVQj6JXfeQghhBBCCHEkqqqqyMvLw+VyMWfOHDZt2pR6bfPmzSxYsACAf/zjH5x//vmpcJubm0soFOLdd99tlH6fjCTtnEBM0yQcDpORkcE3u1fQzGkRCJ7xvWssJhZPImEkuK3rHbQLtsOIgYFGrCaGZWgYkQjh7eXE9lSTXbIKAOsie+K7w7DnFgSSc3gzZcEqIYQQQgghDouu63g8Hq677jqGDh1KUVERhYWFdOnSJXVN165dee2117j11lvp1KkTt912G36/n5EjR9KjRw8KCgo4++yzG/EpTi4SeE8g4XAYy7LIyMhgUemHdAXaNq//l+Hdv3zJPwJvclpFIZ8+uBnYnHotqO3i7EVP4dAibH4eipLn886sZuPwX8ImE5KBN8OjUh3VOCXLd3weTgghhBBCiCbu66+/pkOHDuTm5qaquHWVlJTgcDh46aWX9nntkUce4ZFHHtnn/Ny5c1Nf5+bmyhzeY0wC7wkkFAoBEFO2kF39EQmnSl7uwNTrhmbyWeU/0TMTjOg2gnZndah3v/HFd/CfCPHu/VG7die2YgW52jJyOm8npHiAKOj2mObUHF6f/AgIIYQQQghxKC+99BLjx4/nz3/+c2N3RRwBSTsnkNrAu233o7Rym1R4++J0BlOvl26p4qu8eZzh78lPhgzc5/6SOTuIAhk/u4qOv7iY766+hpzTfDhUqFJ9QBRDSwZetz2HVxatEkIIIYQQ4tBGjx7N6NGjD3pNQUEBq1atOk49EodDAu8JpKamBgCfWkM5zflpn0mp13ZXVTD2X+Oo8e/hlx1+ze6JkzBj0Xr3xxd+gSOjJWpGBgD6jh14usQgp4Aq1Q/swUwYALhUhbhuyhxeIYQQQgghRNqSwHsCCYVCOBw6QdXEn9MPl9OTeu3Zf03gG/9ScrVWnLs2TNlTT+23DXenITicKmY4jF5ejtsZgVYXEDLsyq6eDLymPZWXTFmlWQghhBBCCJGmJO2cQEKhEL6MCACts89Mnd+wvJTPK/7FaeoZ/L3rWLbddhuezp1p/940qLPP15a5y3F8EsVyqsTWrUN1GahmBZxyFiHdQAHicQO36iCq2cFXKrxCCCGEEEKIdCX78J5AampqcAYqAWid0xOAeETj3Sn/JuTdw4/bXcKOu+/GSiRoduONKE4niqqm/ljJFZgVl5P4N9/gykhuWt2iCxHDxK86iMQNAskVmgGZwyuEEEIIIYRIWxJ4TyBVNVVYrl0A1JRls27RTpZMXUSLHYs472uT3ou+wais5NQJfyX7Zz8lsXUrVTNmpv5EVq0GIP7119R89jlqlt9u2B0gZBhkqA5qYhpBr4vqmB2GZZVmIYQQQgghDl9Gcr0cgI8//phOnTqxefPmg9zRcCZOnEiPHj3o2bMn3bt354MPPjiqdoqLi/n4449Txw8++CDPPPPMsepmo5K0cwLZU7WHnDZ7wOHjo/GbMXSLwuLx9KtcS7/lADNx5uWRcf75AGy/+x6iK1ak7q8u6EWwcDTV77yNd+daci/pBGwGl59wxCRDVamORcn0OaXCK4QQQgghxA/w2Wef8atf/YrZs2fTtm3bw7pH13WczmMTwbZu3cqjjz7KsmXLyMrKIhQKsWvXrqNqq7i4mCVLlvA///M/x6RvJxIJvCcIy7KIRSKcml1Opv8iDM3gvEua45m3nt0/PpeHWy/ilR/9jdandgVFIbF1K9EVK2g+ciRZP70SgO/mfgVrIf/e39L89Fa4qpfC9H+Dy0vIMAnUVng9LqpjycArc3iFEEIIIUQTtG7dH6kJrTmmbQYzutK58wOHvG7+/PmMHDmSjz/+mA4dOgCwadMmbrrpJnbt2kWLFi2YNGkSbdu2Zfjw4TRr1ozly5fTq1cvHn74YX71q1/x1Vdfoes6Dz74IJdffjklJSVcf/31hMNhAF588UX69et3wD6UlZURDAZTFeeMjIzU18XFxYwePZpIJEKHDh2YOHEiOTk5DBw4kGeeeYaioiLKy8spKipi3bp1/P73vycajfLFF19w3333AbB69WoGDhzI5s2bueuuu7jzzjt/0Pe2sZzwQ5oVRRmoKMp8RVFeUhRlYGP3p6HE43EyA7vwOnU8xgX0XfQInv+9FkyTreefxo7mCrt/eQvr+53HN9178O2PLgYge9jP8LRvj6d9exwZ9p69nlNOsY8tO9Ti8hE2DAJOBzUxnaDXSXU0OaRZKrxCCCGEEEIctng8zuWXX877779Ply5dUufvuOMObrjhBlauXMl1111XLyCuW7eOTz/9lD/96U88+uijXHjhhSxevJg5c+bwm9/8hnA4TF5eHp988gnLli3jrbfeOmTAPPPMM8nPz6d9+/aMGDGCGTNmpF674YYbePLJJ1m5ciU9evTgoYceOmA7brebhx9+mGuuuYbi4mKuueYaAL755hv+9a9/sWjRIh566CE0TTvab1mjatAKr6IoE4HLgDLLsrrXOT8EeB5Qgf+zLOuJgzRjASHAC2xtwO42qmg0itsds7/eESAzWoq/f3+yhgzho2Axzj0WLS4ajK/z6al7XK1b427XLnVs6gbgxOFS7RN6cp9ep4+wXk2ex0VZTE/O4dVwqQpe1wn/Ow8hhBBCCCH2cTiV2Ibgcrno168fr776Ks8//3zq/IIFC3jvvfcAuP766/ntb3+beu2qq65CVe1/o8+ePZsPP/wwNUc2FouxefNmTjnlFO644w6Ki4tRVZV169YdtB+qqvLPf/6TxYsX89lnnzFu3DiWLl3KuHHjqKys5IILLgDgxhtv5Kqrrjri5/zxj3+Mx+PB4/GQl5dHaWkpp5566hG309gaekjzZOBF4PXaE4qiqMBfgIuxA+xiRVE+xA6/j3/v/puA+ZZl/VtRlHzgWeC6Bu5zo1i6bSmKw94qKLKpkkwge+hlZP3kJ1TMnEswCtk/uZzgoEEHbMNK7rWrupIfq5YMvC4fYaOSDNVBdUxLVng1Mr0ulDrbGgkhhBBCCCEOzuFw8Pbbb/OjH/2Ixx57jPvvv3+/19X9d3YgEEh9bVkW06ZN4/TTT693/YMPPkh+fj4rVqzANE28Xu8h+6IoCn369KFPnz5cfPHFjBgxgnHjxh3weqfTiWnamSEWix20bY/Hk/paVVV0XT9kf05EDVresyxrHrDne6f7ABssy9poWVYCeBO43LKsryzLuux7f8osyzKT91UAHg5AUZRRiqIsURRlydFO1m5MLy15CYeS/OHbZm9NpDZvDkBlvILMCDj8gQPeD2Dq9v0Od3KYcp3AGzIM/A4HobhOps9epVnm7wohhBBCCHHk/H4/M2fOZOrUqbz66qsA9OvXjzfffBOAqVOncn5yodnvGzx4MC+88AKWZW8punz5cgCqqqpo1aoVDoeDKVOmYBhG6p66Q6drbd++nWXLlqWOi4uLadeuHVlZWeTk5DB//nwApkyZkqr2FhQUsHTpUgDefffd1L3BYJCampqj+2ac4Bpj0arWwJY6x1uBvge6WFGUnwKDgWzsavF+WZb1MvAyQFFRkXVMenqcaIZGKBLCodoBNFFWBYAzNxeAykQ1waiFw+8/aDtW8i+F6qxT4VUcoLqp1k28ioJlQabXSU1MI9Mra5YJIYQQQghxNJo1a8Y///lPBgwYQG5uLuPHj+emm27i6aefTi1atT8PPPAAd911Fz179sSyLAoKCpg5cya33347P/vZz3jnnXcYNGhQqipcXl6eCsd1aZrGPffcw/bt2/F6vbRo0YKXXnoJgNdeey21aNVpp52W6ss999zD1VdfzZQpU7jwwgtTbQ0aNIgnnniCwsLC1KJV6aIxEs/+xtAeMKBalvUe8F7Ddafx7QjvwGk6UVx2YFWqQgDsdEeZ+J/fs1HbTo8IOAKHCLy1Fd7aIc16DJw+dAuipokr+V1ODWmWCq8QQgghhBBHJBQKpb5u06YN3333Xer4888/3+f6yZMn1zv2+Xz87W9/2+e6Tp06sXLlytTx44/bsz0XLlzImDFj9rm+Xbt2+30/gMLCQhYuXLjP+S5dutR7j0ceeQSww/vixYv32xbAqlWrDvjaia4xAu9WoE2d41OB7ceiYUVRhgJDO3bseCyaO262hrbiNt04HHZgdcXDoDh4u+yffPDtB+STSeHG8CErvGZqDm9y0SotAi4fNcnK797Aaw9pbpl16HkBQgghhBBCiMZz2WWXNXYXmrTGWKJ3MdBJUZT2iqK4gZ8DHx6Lhi3LmmFZ1qisrKxj0dxxsy20DZfpwqEkg2k8jJKVxdJdy+md35t/mDcz6CsLR+Dgc3hJTkBXnLWBNwYuPzV6cqizYSfeTK8rtWiVEEIIIYQQQqSrBg28iqL8A1gAnK4oylZFUW62LEsH7gD+BawB3rYs6+uG7MeJyrIs3ln3Dv8q+Rcey4NHsQh87iSruoRoppvVu1fTO783ZiQCgMPnO3h7yQqv4kiOGtci4PISqj2fHPIc9DqpjsmQZiGEEEIIIUR6a9AhzZZl/eIA5z8GPj7W79fUhjRvqNzAwwseBmCwczDNSnaQ9a4D2M6cDgqgcsGpF2CGZ6F4PCjOg39cVrKCS23g1WPg8lGdrPCS/J9LVYhppixaJYQQQgghhEhrjTGkucE0tSHNlXF7+6EJP5rAWc3PwhvWAFhyyRNM+B8Ho3qOontud8xI5JDzd2FvhZe6FV6nLzWk2W3agTiRrPRKhVcIIYQQQgiRztIq8DY1oYS9wluON4d4LI47rGOpYDXLBkXB57SHMFuHHXjtQLt3SHMsuWiVHXCdyQJwrDbwyhxeIYQQQgghRBqTwNuIajR7c+fta7azefNmXDU6RqYDZ8D+WJyKPeT4cCu8tYtW7a3wRu3Am6zwOpMvRxM6AJk+GdIshBBCCCHEkVAUhbvvvjt1/Mwzz/Dggw8e9J65c+fy5Zdfpo6HDx/Ou++++4P6UVBQQHl5+Q9qo1ZGRsYxaedElFaBV1GUoYqivFxVVdXYXTksNQk78O7atgsAbxSMoAPVawdWl2pXYM3wYVZ4k4G2/qJVe+fwOpMV4GhCKrxCCCGEEEIcDY/Hw3vvvXdEYfP7gfeHsCwLs7bQJQ4prUp8lmXNAGYUFRWNbOy+HI7awGtqJq1atUL9QkPLUlGTizHXq/AeaksiANPEtOr88OsxcPoIGSaqAiQDb0SzA7DM4RVCCCGEEE3VA+u3sioUPaZtds/w8cdOpx70GqfTyahRo3juued49NFH6722a9cuRo8ezebNmwH485//TOvWrXnppZdQVZW///3vvPDCCwDMmzePZ599lp07d/LUU08xbNgwAJ5++mnefvtt4vE4V155JQ899BAlJSVceumlDBo0iAULFvD+++/Xe98rrriCLVu2EIvFGDt2LKNGjQLsyu3YsWOZOXMmPp+PDz74gPz8fL777juuvfZadF1nyJAhqXZ27NjBNddcQ3V1NbquM2HCBPr37//DvqmNLK0qvE1NTaIGn9NHIpHA4/GgVMTRM1yoPrtC63TUDbyHN4fXUqy9J5IV3hrdIKiq6Jb9WjieHNIsFV4hhBBCCCGO2JgxY5g6dSrfH1k6duxYxo0bx+LFi5k2bRq33HILBQUFjB49mnHjxlFcXJwKkDt27OCLL75g5syZ3HvvvQDMnj2b9evXs2jRIoqLi1m6dCnz5s0DYO3atdxwww0sX76cdu3a1XvfiRMnsnTpUpYsWcL48ePZvXs3AOFwmHPOOYcVK1YwYMAAXnnllVQ/b7vtNhYvXkzLli1T7bzxxhsMHjyY4uJiVqxYQWFhYcN8A4+jtKrwNjU1iRqC7iCJmgSnL1uOEjbQAk4iC+bA2VD1f5PYtPNDEps24e3a5ZDtWaaFRZ0KrxYDl5dq3SDoVNETycArc3iFEEIIIUQTd6hKbEPKzMzkhhtuYPz48fh8vtT5Tz/9lNWrV6eOq6urqamp2W8bV1xxBQ6HgzPOOIPS0lLADryzZ8/mrLPOAiAUCrF+/Xratm1Lu3btOOecc/bb1vjx45k+fToAW7ZsYf369TRv3hy3281ll10GQO/evfnkk08A+M9//sO0adMAuP766/nd734HwNlnn81NN92EpmlcccUVEnhPNE1tH96QFiLTnUk8FqPFf/9rn+sYxFi4BUguMmWa+Hr2JDh48KEbtFL/ActKDmn2EjNNvA4FzTBxKBCK6TgdCj6X2iDPJYQQQgghRLq766676NWrFyNGjEidM02TBQsW1AvBB+LxeFJfW8mRmJZlcd9993HrrbfWu7akpITAAaY4zp07l08//ZQFCxbg9/vfj5YhAAAgAElEQVQZOHAgsVgMAJfLhaLYo0dVVUXX9dR9tefrGjBgAPPmzeOjjz7i+uuv5ze/+Q033HDDIZ/lRJZWQ5qb2j681YlqMlwZUFmJGo8Tua4ZsRYZuPIzAWh5x520+/sU2k15neCFFx66QdMiNaDZ1AELVA+GBU5FQTMsnKqD6phGps+13x9yIYQQQgghxKE1a9aMq6++mldffTV17pJLLuHFF19MHRcXFwMQDAYPWOmta/DgwUycOJFQyN6+dNu2bZSVlR30nqqqKnJycvD7/XzzzTcsXLjwkO9z3nnn8eabbwIwderU1PlNmzaRl5fHyJEjufnmm1m2bNkh2zrRpVXgbWpqhzR7kyu86fkKlunE2dxeFrx2Du9hM9k7h1eP2/93utEtC5eioBsmLodCdVQn05tWxX0hhBBCCCGOu7vvvrveas3jx49nyZIl9OzZkzPOOIOXXnoJgKFDhzJ9+nQKCwuZP3/+Adu75JJLuPbaazn33HPp0aMHw4YNO2RQHjJkCLqu07NnTx544IEDDnuu6/nnn+cvf/kLZ599dr15yHPnzqWwsJCzzjqLadOmMXbs2EO2daKT1NOIQokQBRkFBCq2AqC1MLAqXDhzgwC4HEe4qJRlgSMZeI2E/X/VDryqYg9pdjn3VniFEEIIIYQQR6a2+gqQn59PJBJJHefm5vLWW2/tc0/nzp1ZuXJl6vj7Kx/XbXPs2LH7DZqrVq2qd1xSUpL6etasWYfs67Bhw1IrQbdv354FCxakXqtdNOvGG2/kxhtv3G9bTZUE3kakVVfxk1f+Q2BbDabTScJRiWU6ceXnQOQoKryWsndIc53Aa1iWPaTZtHA6HFRHNYJS4RVCCCGEEEKkubQa0qwoylBFUV7+/vLgJ6pgeYRm3+2mKiuLPbm5WC6wDBf+Lm2BoxnSbEHttNzUkGYPugWqgj2kWVWIJAz8bgm8QgghhBBCiPSWVoG3KS1aZVkWJOwq7JquXYm6nOACy3LiznYDRzGkuW7gTVV4PXsrvIaFS3WQ0E08zrT66IUQQgghhBBiH5J6Golu6jh1ewCyqTpwajqWQ8fl9mJgAEczh5e9n2gq8LrQUoHXxKkqxHUTj1O2JBJCCCGEEEKkNwm8jSRuxHElt8EyVBXV0FAUE7fXh27aLxzNKs2pT7TekGZ70SrdsHA5HMR1A49LPnohhBBCCCFEepPU00jiRhy3XcjFUFVclgaAx+dHM+2vj6TCa1mWXeGt3Vv3+4tWOUiu0qwQ12RIsxBCCCGEECL9SeppJAkjgTdhDyvucuZcqn9rV3W9/qOr8JqGgYICjn0Dr25Rb5VmGdIshBBCCCHE0VFVlcLCQrp3785VV11Vb1uiw/HYY481SL9KSkro3r17g7TdlKVV4G1KqzTHjTgZCQ8A3mCIaHknCF9Mp+5DjyrwGloCRXGg1AZePRl4nXsXrdINE6cDEoZUeIUQQgghhDgaPp+P4uJiVq1ahdvt5qWXXjqs+yzLwjTNBgu8Yv/Sam8ay7JmADOKiopGNnZfDiVuxPFodjg1cFH1359z5d+uAEBbuwI4siHNuqbhwGHvPwRgJOfwqm70OotWqQ476MocXiGEEEII0ZQ9NONrVm+vPqZtnnFKJn8Y2u2wr+/fvz8rV64E4Nlnn2XixIkA3HLLLdx1112UlJRw6aWXMmjQIBYsWEBhYSHRaJTCwkK6devGo48+ymWXXcaqVasAeOaZZwiFQjz44IMsXryYm2++mUAgwPnnn8+sWbNYtWoVJSUlXH/99YTDYQBefPFF+vXrd0y/D+kkrQJvU5IwEnh0O3Tquh9V3RtAa+fwHkmFV098v8Jbd9EqE1UBzbDwue338cqQZiGEEEIIIY6aruvMmjWLIUOGsHTpUiZNmsR///tfLMuib9++XHDBBeTk5LB27VomTZrEX//6VwDeeecdiouLAXsY8oGMGDGCl19+mX79+nHvvfemzufl5fHJJ5/g9XpZv349v/jFL1iyZEmDPmtTJoG3kcSNOO7aVZoTARyuvQH0aIc0O6gTeA07NNuLVsXsIc2miarY7yMVXiGEEEII0ZQdSSX2WKqt0IJd4b355puZMGECV155JYFAAICf/vSnzJ8/n5/85Ce0a9eOc84554jeo7KykpqamlTl9tprr2XmzJkAaJrGHXfcQXFxMaqqsm7dumP4dOlHAm8jSRgJ3HpySHM8gOreN/Ae6ZBmRVFQaivF9YY0R+0hzbqFI7mKsyxaJYQQQgghxJGrncNbl2VZB7y+NgTvj9PpxDTN1HEsFjtke8899xz5+fmsWLEC0zTxer2H2/WTkpT5GklthddyWhjRTFT33nB7NEOajUQCBcfewFt3SLNp78OrmWZq1yJZtEoIIYQQQohjY8CAAbz//vtEIhHC4TDTp0+nf//++73W5XKhafa/9/Pz8ykrK2P37t3E4/FUFTcnJ4dgMMjChQsBePPNN1P3V1VV0apVKxwOB1OmTMEwjAZ+uqZNKryNJG7GCWhgucCIBFE9ewNvbYW3dvixGTcwahIHbU/fHcXpcNWp8NYOaXYlF60C3ahb4ZXAK4QQQgghxLHQq1cvhg8fTp8+fQB70aqzzjprv3N0R40aRc+ePenVqxdTp07l97//PX379qV9+/Z06dIldd2rr77KyJEjCQQCDBw4kKysLABuv/12fvazn/HOO+8waNCgg1aQhQTeRpMwErTfbWC5wIxk4s7aOxRBN3VcDhdKMpzumlCMtvPQ+3sFXc3A/f0hzZ69+/AadSq8LhnSLIQQQgghxJEKhUL7Pf/rX/+aX//61/XOFRQUpFZgrvXkk0/y5JNPpo7vvPNO7rzzzn3a69atW2oF6CeeeIKioiIAOnXqlDoP8Pjjjx/wvUSaBV5FUYYCQzt27NjYXTmkeCKCCwvLCUpWB5w+T+o1zdTqDWfWd8fwdmmG/8wWB2yv9LsNLJ35Pudfd3Pypn334dUMCwWp8AohhBBCCHGi++ijj3j88cfRdZ127doxefLkxu5Sk5RWgbcp7cNrVNegKCaWCyylOY462xLppp4KvJZmYmkm7nZB/GflHbC9RGwdm8KrGZidrBQbcVBUcKipfXj1OhPiJfAKIYQQQghx4rrmmmu45pprGrsbTZ6knkZiVlWhKBa4LHtbIqeSeq12SDOAGbXn8zp8B1+x2dDsiq7T5U6eSIDqxrQsTEBVFHTDovZdZJVmIYQQQgghRLqTwNtIrKpqFMvEcoIe8+NQ9wbeukOazYi9+JTDf/BivJ4MvKnVnvUEON0YyRXNnQokDJP/b+/uo6uqzjyOf597ExJiAJWoMKDC8CJiQF4yUDUqdKwvVcDWWGTqFGq1o6JV9I+h1Ursqg5SlstRZhZm2RlEAXEGZngb0JEhVhCEKBGsgIikik0QwpsI5OXePX/ckzSJNwkk9+Yk9/4+a911793nnH32eRI3Ptn77ONq7+HVj15ERERERBKbsh6fuGPHCTgXWaW5Mv1bU5prR3hPeCO8zSW8ld6jjGpHeCu8BasiGW9khDcMXgKsKc0iIiIiIpLolPX4xI4dJxAOEw4GCIUgGGxsSrM3wnvGU5qrahesgsgPOuzA1Sa8mtIsIiIiIiKJTQmvTwLHvsHCDpeaQrg6XG+Et/6U5tMd4fWmNKfWTGmugGAqVV6Ga16i67whXk1pFhERERE5c0899RSXXXYZQ4cOZdiwYbz33ntnXMfy5cuZOXNmHFonDSXUKs0dSeD4SQIhRyglhXDI1buHt+4qzaed8FZVEggGCQS9kdsGU5pranea0iwiIiIi0iIbN25k5cqVfPDBB6SlpXHw4EEqvYGnMzF+/HjGjx8fhxZKQ0p4fZLy9Uks5HApqYRDjmCdVZqrXBUp5iW8J6sgYFinpqcgh6oqCdZMZ4ZvLVpVk96GvYy3U1AJr4iIiIh0YKunQ9n22NbZYwjc1PjIa2lpKVlZWaSlpQGQlZUFQJ8+fZg4cSLr1q0DYOHChfTv358VK1bw29/+lsrKSrp3786CBQu44IILmDdvHkVFRcyZM4cpU6bQtWtXioqKKCsrY9asWeTl5cX2upKYsp42duLECXZ9uoujlSdJPeJwqZ0IhSJTmkOhEFu2vcvBI18RrDROfXqYqrITBDJSMBeGzzfBZ4VRX12O7eDizKN/KTu+H4Kdakd4a4Z2S8pPEAwYZhateSIiIiIi0ojrr7+eL774goEDB3L//ffz9ttv127r2rUrmzdv5oEHHuDhhx8GIDc3l02bNrF161buuOMOZs2aFbXe0tJS1q9fz8qVK5k+fXqbXEuySKgRXjMbB4zr37+/301pVFlZGYteXcQNR44A4Lp2hVMQCBobi9/mvo8eAmD010M4uPkjAFJ7ZcInb8BrkxqtdyQw8jxg/oS/FA68sXbRKsKRt88PnaBzqhasEhEREZEOromR2HjJzMzk/fff55133mHdunVMnDix9l7cSZMm1b5PmzYNgH379jFx4kRKS0uprKykb9++Ueu99dZbCQQCDB48mP3797fNxSSJhEp4nXMrgBU5OTn3+N2WxvTs2ZPuV3cnbUMF4XTHpY//O0WPf0wgaJyo+AaAX/aYxnVXfI9uqV0BSMnqDJ9si1Two1fgrKxv1fvesv+gbM9uJjzyq78UnjeodoQ3VDO3GZj79yPjdHUiIiIiIoktGAwyZswYxowZw5AhQ3j55ZcB6s2grPn84IMP8sgjjzB+/HgKCwvJz8+PWmfNFGkA51zUfaRlEirh7Qg6d+5Mp6xOBKodob8Kku4lr3VXab7swiGcP/DC+gdWnYi898mFjHO/Ve+RTlsoqzoMF19Zr7z6m1MAhEPh2rJeZ6fH4lJERERERJLKrl27CAQCDBgwAIDi4mIuvvhitm/fzuLFi5k+fTqLFy/miiuuAODo0aP06tULoDYxlralhNcngSpwXYywN/Jad5XmqGoS3tSMMzpPzZTm6pD+UiQiIiIi0hrHjx/nwQcf5MiRI6SkpNC/f38KCgpYuXIlFRUVjB49mnA4zKJFiwDIz8/n9ttvp1evXnznO99h7969Pl9B8lHC6xOrAhc0Qt7Ia7C5hLfyBFgAUtKa3q+BqtqEN9zMniIiIiIi0pSRI0fy7rvvRt02depUZsyYUa9swoQJTJgw4Vv7TpkyhSlTpgAwb968etuOHz8ek7ZKhFZp9olVAcE6I7zNPRe36mRkdPcMV1cOhb2Et1oJr4iIiIiIJBeN8PokUAWhQKD23tpA0GpXUo6q6pszns4M/GXRKiW8IiIiIiJxUVJS4ncTpBEa4fVDqBqrMixwBvfwVp6ATi1JeCPvVUp4RUREREQkySjh9UGwsiLyIRAk5GWkwWBzU5pPtGiEt2bRKiW8IiIiIiKSbJTw+iD1pLfisjWY0tyUFia81Up4RUREREQkSSnh9UHwVOTZuGaBOlOam/lRtHhKc6T+yqowwTNc8EpERERERKQjU8Lrg5QKL+ElWGeV5viM8NY8freqKkSn5laCFhERERGRRpWUlJCdnV2vLD8/n9mzZzd5XFFREb/4xS8AKCwsbPTRRk3p06cPBw8ebLL8/fffp2/fvmzdupXly5czc+bMMz5PNIWFhdxyyy0xqautaZVmH9SM8GKB038ObyunNFdWh0hLCXCyKnTGdYiIiIiISMvl5OSQk5MDRJLHzMxMrrzyypieY9u2beTl5bF48WKGDx/O8OHDGT9+fEzP0REp4fVBSkVk0ap6I7zNLlp1slUJb0VVWCO8IiIiIpIwntn8DDsP7YxpnYPOHcQ/jvrHFh8/ZswYRo8ezbp16zhy5Ai///3vufrqqyksLGT27NnMmTOHuXPnEgwGefXVV3nhhRcYNGgQ9957L59//jkAzz33HFdddRXl5eVMmjSJAwcOMGrUKJz3//XR7Nixg8mTJ/PKK68watQoAObNm0dRURFz5sxhypQpdO3alaKiIsrKypg1axZ5eXmEw2EeeOAB3n77bfr27Us4HOauu+4iLy+PNWvW8PDDD5OVlcWIESNqz3Xo0CHuuusuPvvsMzIyMigoKGDo0KHk5+ezd+9eSktL+eSTT3j22WfZtGkTq1evplevXqxYsYLU1NQWx7allAH5IOglvAEXPIPHEn3Tunt4KzWlWUREREQk3qqrq9m8eTPPPfccTz75ZL1tffr04d5772XatGkUFxdz9dVX89BDDzFt2jS2bNnCkiVLuPvuuwF48sknyc3NZevWrYwfP742IY5mwoQJzJkzh9zc3Eb3KS0tZf369axcuZLp06cDsHTpUkpKSti+fTsvvfQSGzduBODUqVPcc889rFixgnfeeYeysrLaembMmMHw4cPZtm0bTz/9ND/5yU9qt+3Zs4dVq1axbNky7rzzTsaOHcv27dvp3Lkzq1atOvNgxoBGeH2Qcsp7LJELEq6uWaU5Po8l0giviIiIiCSi1ozEtpQ1sghs3fIf/vCHAIwcOZKSkpJm63zrrbf4+OOPa78fO3aMr7/+mj/84Q8sXboUgJtvvplzzjmn0Tquu+46XnrpJW644QaCwWDUfW699VYCgQCDBw9m//79AKxfv57bb7+dQCBAjx49GDt2LAA7d+6kb9++DBgwAIA777yTgoKC2mOWLFkCwHe/+13Ky8s5evQoADfddBOpqakMGTKEUCjEjTfeCMCQIUNOKxbx0O4zIDMLmNlTZvaCmU32uz2xEKioBMBOd4Q3VA2hylYtWnWqMkSn5pJqERERERFpVPfu3Tl8+HC9skOHDpGVlVX7PS0tDYBgMEh1dXWzdYbDYTZu3EhxcTHFxcV8+eWXdOnSBWg8wW5ozpw5ANx///2N7lPTLqB2enRT06QbO3e0Y2r2rTlHIBAgNTW1tjwQCJxWLOIhrhmQmf2bmX1lZh81KL/RzHaZ2admNr2ZaiYAvYAqYF+82tqWghVVAATCwdrn8AabWqW5yntubyumNFdoSrOIiIiISKtkZmbSs2dP1q5dC0SS3TVr1jQ5lbihLl268PXXX9d+v/7662sTVoDi4mIArrnmGhYsWADA6tWrv5Vo1xUIBFi0aBG7du3iiSeeOO225ObmsmTJEsLhMPv376ewsBCAQYMGsXfvXvbs2QPAokWLao+p267CwkKysrLo2rXraZ+zrcV7SvM8YA4wv6bAzILAvwDfI5LAbjGz5UAQ+KcGx98FXAJsdM69aGb/CayNc5vj6lDxm/R+NfKLYy6V6iiLVgW2PEP19rP4+M/HqAqFSXFVXA4sKi5nfckHUevN2lNOxjeVTF1Yf/unGUC3AKVHTpB9Xpe4XJOIiIiISLKYP38+U6dO5dFHHwUi97T269fvtI8fN24ceXl5LFu2jBdeeIHnn3+eqVOnMnToUKqrq7nmmmuYO3cuM2bMYNKkSYwYMYJrr72Wiy66qMl609LSWLZsGddeey0XXHABZ511VrNtue2221i7di3Z2dkMHDiQ0aNH061bN9LT0ykoKODmm28mKyuL3NxcPvooMoaZn5/PT3/6U4YOHUpGRgYvv/zyaV+7H6ypYeyYnMCsD7DSOZftfb8CyHfO3eB9/yWAc65hsltz/J1ApXPudTNb7Jyb2Mh+Pwd+DnDRRReN/NOf/hTrS4mJA+tfp/SxfCozQ5zdOZuKh56ncMEuJv/TVby7400e3f0rXvuylH6dL2Lf4ZOkBA0zo5oUZqU/xKfBv45a75DP1pB17E+sG/YP9crLz+tE2YUZXPLhUa7pcy6vbPqctx65hv7nK/kVERERkY5lx44dXHrppX43I6EcP36czMxMysvLGTVqFBs2bKBHjx5+N6ueaD93M3vfOZfT3LF+LFrVC/iizvd9wOgm9l8KvGBmVwN/aGwn51wBUACQk5MT3yy+Fc7L/RFLnz9M5i//mSuskSnGgVR25v0ft/7LBv59yt8wdtD5ALzYRL1vzP2Qkm1lrH10TL3yl/Yd4PHdX/LfU69i/cdf8cqmxld3ExERERGR5HLLLbdw5MgRKisr+fWvf93ukt3W8iPhjXazaqMJqnPuBPCz+DVHREREREQkOdXct5uo/FjFaB9wYZ3vvYE/x6JiMxtnZgU1y2KLiIiIiIhI8vIj4d0CDDCzvmbWCbgDWB6Lip1zK5xzP+/WrVssqhMREREREZEOLN6PJVoEbAQuMbN9ZvYz51w18ADwBrADeN0598d4tkNERERERESST1zv4XXOTWqk/H+A/4n1+cxsHDCuf//+sa5aREREREREOhg/pjTHjaY0i4iIiIhIPJWUlJCdnV2vLD8/n9mzZ7Np0yZGjx7NsGHDuPTSS8nPz/enkVLLj1WaRUREREREEs7kyZN5/fXXufzyywmFQuzatcvvJiU9JbwiIiIiItLhlD39NBU7dsa0zrRLB9HjV79q8fFfffUVPXv2BCAYDDJ48OBYNU1aKKGmNOuxRCIiIiIi4pdp06ZxySWX8IMf/IAXX3yRU6dO+d2kpJdQI7zOuRXAipycnHv8bouIiIiIiMRPa0ZiW8PMGi1/4okn+PGPf8ybb77JwoULWbRoEYWFhW3bQKknoUZ4RURERERE4ql79+4cPny4XtmhQ4fIysoCoF+/ftx3332sXbuWDz/8kPLycj+aKR4lvCIiIiIiIqcpMzOTnj17snbtWiCS7K5Zs4bc3FxWrVqFcw6A3bt3EwwGOfvss/1sbtJLqCnNeg6viIiIiIjE2/z585k6dSqPPvooADNmzKBfv3489thjTJs2jYyMDFJSUliwYAHBYNDn1ia3hEp4dQ+viIiIiIjE2+DBg1m3bt23yl977TUfWiNN0ZRmERERERERSUhKeEVERERERCQhKeEVEREREZEOo2ZRKEkOrf15J1TCa2bjzKzg6NGjfjdFRERERERiLD09nfLyciW9ScI5R3l5Oenp6S2uQ4tWiYiIiIhIh9C7d2/27dvHgQMH/G6KtJH09HR69+7d4uMTKuEVEREREZHElZqaSt++ff1uhnQgCTWlWURERERERKSGEl4RERERERFJSEp4RUREREREJCFZIq1wZmbjgHHARGC3z81pjSzgoN+NSEKKuz8Ud/8o9m1PMfeH4u4fxb7tKeb+UNzb3sXOufOa2ymhEt5EYWZFzrkcv9uRbBR3fyju/lHs255i7g/F3T+KfdtTzP2huLdfmtIsIiIiIiIiCUkJr4iIiIiIiCQkJbztU4HfDUhSirs/FHf/KPZtTzH3h+LuH8W+7Snm/lDc2yndwysiIiIiIiIJSSO8IiIiIiIikpCU8IqIiIiIiEhCUsIbA2Z2oZmtM7MdZvZHM3vIKz/XzP7XzHZ77+d45d8zs/fNbLv3/t06dY30yj81s+fNzBo5Z9T9zOwRM/vYzLaZ2Vozu7gtYuCH9hR3b9uPvNj/0cwWxvv6/eJT3J8ysy/M7HiD8jQzW+wd/56Z9YnflfsvxrGPGtMo50zqvqY9xdzbpn4mfnFXP0PsYm9mGWa2ysx2evXMbOKc6mfaScy9bepn4hd39TN+cM7p1coX0BMY4X3uAnwCDAZmAdO98unAM97n4cBfeZ+zgS/r1LUZuAIwYDVwUyPnjLofMBbI8D7fByz2Oz5JEvcBwFbgHO/7+X7HJ8Hi/h3vvMcblN8PzPU+35HIv+9xiH3UmEY5Z1L3Ne0s5upn4ht39TMxjD2QAYz1PncC3kH/T9MRYq5+Jr5xVz/jx8/a7wYk4gtYBnwP2AX09Mp6Arui7GtAOZDm7bOzzrZJwItRjjnd/YYDG/yORzLE3esc7/Y7BokY9wbHN/wH4g3gCu9zCnAQbzG+ZHi1NPZNxbTBNvU17Sjm6mfiF/em9lM/0/rYe9v+GbgnSrn6mXYUc/Uz8Yt7g33Uz7ThS1OaY8ybgjAceA+4wDlXCuC9nx/lkNuArc65CqAXsK/Otn1eWUOnu9/PiPzVLuG1g7gPBAaa2QYz22RmN7b8ajqONop7U3oBX3jnrAaOAt3PsI4OqZWxP13qa+poBzFXPxO/uDdF/UwrY29mZwPjgLVRjlE/U0c7iLn6mfjFvSlJ28+0hRS/G5BIzCwTWAI87Jw7ZtFvR6y7/2XAM8D1NUVRdnPRDm1uPzO7E8gBrm2m2R1eO4l7CpFpQGOA3sA7ZpbtnDvS7AV0UG0Y9yarjUEdHU4MYn/ap4pSlpR9TTuJufqZ+MW9yWqjlKmf+fb+UWNvZinAIuB559xn0Q6NUqZ+xr+Yq5+JX9ybrDZKWcL3M21FI7wxYmapRP5jWeCcW+oV7zeznt72nsBXdfbvDfwX8BPn3B6veB+RzqVGb+DPZhY0s2Lv9ZvG9qtT93XAY8D4GP6Fu11qR3HfByxzzlU55/YSmQ4zIJbX2p60cdybsg+40DtHCtANONS6q2vfYhT7xupWXxNFO4q5+pn4xb0p6mciWhr7AmC3c+45b1/1M1G0o5irn4lf3JuSdP1Mm/J7TnUivIj8VWY+8FyD8t9R/6b3Wd7ns4EPgdui1LWFyA3tNYsIfL+Rc0bdj8h0jD3AAL/jkmRxvxF42fucRWRaSne/Y5Qoca+zf8N7XqZSf5GH1/2OT0eJfWMxPd2fUbL0Ne0s5upn4hj3xvZTP9Py2AO/JZJMBJo5p/qZ9hNz9TNxjHud/ZO6n2nzn7XfDUiEF5BLZNrBNqDYe32fyNz7tcBu7/1cb//HgW/q7FuMtwoekSk7H3kd/BwauWG9sf2At4D9depd7nd8kiTuBjwLfAxsB+7wOz4JFvdZRP76Gfbe873ydOA/gE+JrDj5137HpwPFPmpMz+B3Pin6mnYWc/Uz8Y27+pkYxp7IqKEDdtQpj7oYkvqZdhVz9TPxjbv6GR9eNb/cIiIiIiIiIglF9/CKiIiIiIhIQlLCKyIiIiIiIglJCa+IiIiIiIgkJCW8IiIiIiIikpCU8IqIiIiIiEhCSvG7ASIiIsnOzGoegwHQAwgBBy9fN9wAAAIASURBVLzvo5xzlb40TEREpIPTY4lERETaETPLB44752b73RYREZGOTlOaRURE2jEzm2xmm82s2Mz+1cwCZpZiZkfM7Hdm9oGZvWFmo83sbTP7zMy+7x17t5n9l7d9l5k97pV3MbPVZvahmX1kZnn+XqWIiEh8KOEVERFpp8wsG/gBcKVzbhiRW5Hu8DZ3A950zo0AKoF84G+B24Hf1KlmlHfMCODvzGwY8H2gxDl3uXMuG/jfNrgcERGRNqd7eEVERNqv64C/AYrMDKAz8IW37aRzriZR3Q4cdc5Vm9l2oE+dOt5wzh0GMLP/BnKJ3C8808xmAiuccxvifiUiIiI+UMIrIiLSfhnwb865X9crNEshMqpbIwxU1Plc99/3hot1OOfcDjPLITLS+zszW+mcezq2TRcREfGfpjSLiIi0X28BPzKzLIis5mxmF51hHdeb2dlmlgFMADaYWS8iC2O9AjxLZLqziIhIwtEIr4iISDvlnNtuZk8Cb5lZAKgC7gX+fAbVrAcWAv2AV5xzxd6iVjPNLExkpPjeGDddRESkXdBjiURERBKUmd0NZDvnHva7LSIiIn7QlGYRERERERFJSBrhFRERERERkYSkEV4RERERERFJSEp4RUREREREJCEp4RUREREREZGEpIRXREREREREEpISXhEREREREUlI/w+BmyqnpiDLTAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(yscale='log')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "## Analyse du nombre de morts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "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>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
       "      <th>1/24/20</th>\n",
       "      <th>1/25/20</th>\n",
       "      <th>1/26/20</th>\n",
       "      <th>1/27/20</th>\n",
       "      <th>...</th>\n",
       "      <th>11/28/22</th>\n",
       "      <th>11/29/22</th>\n",
       "      <th>11/30/22</th>\n",
       "      <th>12/1/22</th>\n",
       "      <th>12/2/22</th>\n",
       "      <th>12/3/22</th>\n",
       "      <th>12/4/22</th>\n",
       "      <th>12/5/22</th>\n",
       "      <th>12/6/22</th>\n",
       "      <th>12/7/22</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.93911</td>\n",
       "      <td>67.709953</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7833</td>\n",
       "      <td>7833</td>\n",
       "      <td>7833</td>\n",
       "      <td>7834</td>\n",
       "      <td>7834</td>\n",
       "      <td>7834</td>\n",
       "      <td>7834</td>\n",
       "      <td>7835</td>\n",
       "      <td>7835</td>\n",
       "      <td>7837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Albania</td>\n",
       "      <td>41.15330</td>\n",
       "      <td>20.168300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3594</td>\n",
       "      <td>3594</td>\n",
       "      <td>3594</td>\n",
       "      <td>3594</td>\n",
       "      <td>3594</td>\n",
       "      <td>3594</td>\n",
       "      <td>3594</td>\n",
       "      <td>3594</td>\n",
       "      <td>3594</td>\n",
       "      <td>3594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>28.03390</td>\n",
       "      <td>1.659600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>6881</td>\n",
       "      <td>6881</td>\n",
       "      <td>6881</td>\n",
       "      <td>6881</td>\n",
       "      <td>6881</td>\n",
       "      <td>6881</td>\n",
       "      <td>6881</td>\n",
       "      <td>6881</td>\n",
       "      <td>6881</td>\n",
       "      <td>6881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>42.50630</td>\n",
       "      <td>1.521800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>156</td>\n",
       "      <td>156</td>\n",
       "      <td>157</td>\n",
       "      <td>157</td>\n",
       "      <td>157</td>\n",
       "      <td>157</td>\n",
       "      <td>157</td>\n",
       "      <td>157</td>\n",
       "      <td>157</td>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Angola</td>\n",
       "      <td>-11.20270</td>\n",
       "      <td>17.873900</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1923</td>\n",
       "      <td>1923</td>\n",
       "      <td>1924</td>\n",
       "      <td>1924</td>\n",
       "      <td>1924</td>\n",
       "      <td>1924</td>\n",
       "      <td>1924</td>\n",
       "      <td>1925</td>\n",
       "      <td>1925</td>\n",
       "      <td>1925</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 1055 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Province/State Country/Region       Lat       Long  1/22/20  1/23/20  \\\n",
       "0            NaN    Afghanistan  33.93911  67.709953        0        0   \n",
       "1            NaN        Albania  41.15330  20.168300        0        0   \n",
       "2            NaN        Algeria  28.03390   1.659600        0        0   \n",
       "3            NaN        Andorra  42.50630   1.521800        0        0   \n",
       "4            NaN         Angola -11.20270  17.873900        0        0   \n",
       "\n",
       "   1/24/20  1/25/20  1/26/20  1/27/20   ...     11/28/22  11/29/22  11/30/22  \\\n",
       "0        0        0        0        0   ...         7833      7833      7833   \n",
       "1        0        0        0        0   ...         3594      3594      3594   \n",
       "2        0        0        0        0   ...         6881      6881      6881   \n",
       "3        0        0        0        0   ...          156       156       157   \n",
       "4        0        0        0        0   ...         1923      1923      1924   \n",
       "\n",
       "   12/1/22  12/2/22  12/3/22  12/4/22  12/5/22  12/6/22  12/7/22  \n",
       "0     7834     7834     7834     7834     7835     7835     7837  \n",
       "1     3594     3594     3594     3594     3594     3594     3594  \n",
       "2     6881     6881     6881     6881     6881     6881     6881  \n",
       "3      157      157      157      157      157      157      158  \n",
       "4     1924     1924     1924     1924     1925     1925     1925  \n",
       "\n",
       "[5 rows x 1055 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "death_data = get_file(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv\",\n",
    "                'time_series_covid19_deaths_global.csv')\n",
    "death_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nombre d'états :\t289\n",
      "Nombre de pays :\t201\n",
      "Nombre de jours :\t1051\n",
      "1er jour dispo :\t2020-01-22\n",
      "dernier jour dispo :\t2022-12-07\n"
     ]
    }
   ],
   "source": [
    "data_overview(death_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(data=death_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "Pour les mort ont n'a pas la même augmentation début 2022 se qui laisse supposé qu'omicron tue moins. Cela peut venir d'une dangerosité plus faible ou d'une amélioration de la prose en charge des malades depuis le début de l'épidémie.\n",
    "\n",
    "En revanche on note une rapide augmentation du nombre de mort début 2021, trois variants sont effectivement apparu fin 2020 : Alpha en septembre, Delta en octobre et Gamma en novembre.\n",
    "\n",
    "Les auteurs du MOOC suggèrent d'étudier la présence d'une corrélation entre le nombre de lit d'hopital et le nombre de mort. Le [dernier rapport de L'OCDE](https://www.oecd-ilibrary.org/sites/e5a80353-en/index.html?itemId=/content/component/e5a80353-en#:~:text=Across%20OECD%20countries%2C%20there%20were,\\)%2C%20rates%20were%20much%20higher.) est celui de l'année 2021 et il inclut le nombre de lit uniquement jusqu'à 2019 or les chiffres que nous possédons sur l'épidémie commencent en 2020. Il y a donc un décalage. Nous faisons néanmoins l'analyse.\n",
    "\n",
    "Le fichier fourni par l'OCDE est disponible à ce [lien](https://stat.link/files/ae3016b9-en/upe1dn.xlsx). Il contient une courbe se qui empêche de l'ouvrir avec Pandas, j'ai donc fais un export des données depuis libreoffice dans le fichier \"bed.csv\". Dommage que l'OCDE ne fournisse pas ses données dan sun format libre et ne fasse pas ses graphiques dans une document computationnel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    .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>Country</th>\n",
       "      <th>2009</th>\n",
       "      <th>2019</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Japan</td>\n",
       "      <td>13.6</td>\n",
       "      <td>12.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Korea</td>\n",
       "      <td>8.2</td>\n",
       "      <td>12.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Russia</td>\n",
       "      <td>9.7</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Germany</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Austria</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Hungary</td>\n",
       "      <td>7.1</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>7.1</td>\n",
       "      <td>6.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Lithuania</td>\n",
       "      <td>7.2</td>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Poland</td>\n",
       "      <td>6.7</td>\n",
       "      <td>6.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>France</td>\n",
       "      <td>6.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Slovak Republic</td>\n",
       "      <td>6.5</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>6.2</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Latvia</td>\n",
       "      <td>6.7</td>\n",
       "      <td>5.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>China</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>5.1</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Estonia</td>\n",
       "      <td>5.4</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Slovenia</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>OECD38</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>5.5</td>\n",
       "      <td>4.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Greece</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Australia</td>\n",
       "      <td>3.8</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>3.4</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Norway</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Finland</td>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Italy</td>\n",
       "      <td>3.7</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>4.2</td>\n",
       "      <td>3.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Israel</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Spain</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Ireland</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>2.6</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>United States</td>\n",
       "      <td>3.1</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Iceland</td>\n",
       "      <td>3.7</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>3.1</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>New Zealand</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Canada</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>2.9</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Chile</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Colombia</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Indonesia</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>India</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Country  2009  2019\n",
       "0             Japan  13.6  12.8\n",
       "1             Korea   8.2  12.4\n",
       "2            Russia   9.7   8.0\n",
       "3           Germany   8.2   7.9\n",
       "4           Austria   7.7   7.2\n",
       "5           Hungary   7.1   6.9\n",
       "6    Czech Republic   7.1   6.6\n",
       "7         Lithuania   7.2   6.4\n",
       "8            Poland   6.7   6.2\n",
       "9            France   6.7   5.8\n",
       "10  Slovak Republic   6.5   5.8\n",
       "11          Belgium   6.2   5.6\n",
       "12           Latvia   6.7   5.4\n",
       "13            China   2.3   4.8\n",
       "14      Switzerland   5.1   4.6\n",
       "15          Estonia   5.4   4.5\n",
       "16         Slovenia   4.6   4.4\n",
       "17           OECD38   4.8   4.4\n",
       "18       Luxembourg   5.5   4.3\n",
       "19           Greece   4.5   4.2\n",
       "20        Australia   3.8   3.8\n",
       "21         Portugal   3.4   3.5\n",
       "22           Norway   4.5   3.5\n",
       "23          Finland   6.3   3.4\n",
       "24            Italy   3.7   3.2\n",
       "25      Netherlands   4.2   3.1\n",
       "26           Israel   3.2   3.0\n",
       "27            Spain   3.2   3.0\n",
       "28          Ireland   2.8   2.9\n",
       "29           Turkey   2.6   2.9\n",
       "30    United States   3.1   2.8\n",
       "31          Iceland   3.7   2.8\n",
       "32          Denmark   3.1   2.6\n",
       "33      New Zealand   2.4   2.5\n",
       "34           Canada   2.8   2.5\n",
       "35   United Kingdom   2.9   2.5\n",
       "36           Sweden   2.8   2.1\n",
       "37            Chile   2.3   2.0\n",
       "38         Colombia   1.5   1.7\n",
       "39       Costa Rica   1.2   1.1\n",
       "40        Indonesia   0.6   1.0\n",
       "41           Mexico   1.0   1.0\n",
       "42            India   0.4   0.5"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bed_data = pd.read_csv('bed.csv')\n",
    "bed_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "Les nombres sont pour 1000 habitants."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "China, Hong-Kong est manquant des données de l'OCDE\n",
      "Iran est manquant des données de l'OCDE\n",
      "Korea, South est manquant des données de l'OCDE\n",
      "US est manquant des données de l'OCDE\n"
     ]
    }
   ],
   "source": [
    "for country in countries:\n",
    "    if country not in list(bed_data['Country']):\n",
    "        print(country, \"est manquant des données de l'OCDE\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "Hong Kong est vraisemblablement inclu dans la Chine.\n",
    "\n",
    "L'Iran est complètement absent.\n",
    "\n",
    "On trouve Korea dans les données de l'OCDE mais aucune idée de si cela inclu la Corée du Nord ou juste le sud.\n",
    "\n",
    "US est nommé \"United States\" dans les fichiers de l'OCDE."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "On peut récupérer la population mondiale sur le site [data.worldbank.org](https://data.worldbank.org/indicator/SP.POP.TOTL) on récupère les csv dans un zip. Celui qui nous intérresse est \"API_SP.POP.TOTL_DS2_en_csv_v2_4701113.csv\", je l'ai upload à la main dans le repo sous le nom \"population.csv\". Il contient 4 lignes de commentaires en haut, on les skip lors du chargement des données."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Indicator Name</th>\n",
       "      <th>Indicator Code</th>\n",
       "      <th>1960</th>\n",
       "      <th>1961</th>\n",
       "      <th>1962</th>\n",
       "      <th>1963</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>...</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>Unnamed: 66</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>54208.0</td>\n",
       "      <td>55434.0</td>\n",
       "      <td>56234.0</td>\n",
       "      <td>56699.0</td>\n",
       "      <td>57029.0</td>\n",
       "      <td>57357.0</td>\n",
       "      <td>...</td>\n",
       "      <td>103165.0</td>\n",
       "      <td>103776.0</td>\n",
       "      <td>104339.0</td>\n",
       "      <td>104865.0</td>\n",
       "      <td>105361.0</td>\n",
       "      <td>105846.0</td>\n",
       "      <td>106310.0</td>\n",
       "      <td>106766.0</td>\n",
       "      <td>107195.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Africa Eastern and Southern</td>\n",
       "      <td>AFE</td>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>130836765.0</td>\n",
       "      <td>134159786.0</td>\n",
       "      <td>137614644.0</td>\n",
       "      <td>141202036.0</td>\n",
       "      <td>144920186.0</td>\n",
       "      <td>148769974.0</td>\n",
       "      <td>...</td>\n",
       "      <td>562601578.0</td>\n",
       "      <td>578075373.0</td>\n",
       "      <td>593871847.0</td>\n",
       "      <td>609978946.0</td>\n",
       "      <td>626392880.0</td>\n",
       "      <td>643090131.0</td>\n",
       "      <td>660046272.0</td>\n",
       "      <td>677243299.0</td>\n",
       "      <td>694665117.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>8996967.0</td>\n",
       "      <td>9169406.0</td>\n",
       "      <td>9351442.0</td>\n",
       "      <td>9543200.0</td>\n",
       "      <td>9744772.0</td>\n",
       "      <td>9956318.0</td>\n",
       "      <td>...</td>\n",
       "      <td>32269592.0</td>\n",
       "      <td>33370804.0</td>\n",
       "      <td>34413603.0</td>\n",
       "      <td>35383028.0</td>\n",
       "      <td>36296111.0</td>\n",
       "      <td>37171922.0</td>\n",
       "      <td>38041757.0</td>\n",
       "      <td>38928341.0</td>\n",
       "      <td>39835428.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Africa Western and Central</td>\n",
       "      <td>AFW</td>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>96396419.0</td>\n",
       "      <td>98407221.0</td>\n",
       "      <td>100506960.0</td>\n",
       "      <td>102691339.0</td>\n",
       "      <td>104953470.0</td>\n",
       "      <td>107289875.0</td>\n",
       "      <td>...</td>\n",
       "      <td>380437896.0</td>\n",
       "      <td>390882979.0</td>\n",
       "      <td>401586651.0</td>\n",
       "      <td>412551299.0</td>\n",
       "      <td>423769930.0</td>\n",
       "      <td>435229381.0</td>\n",
       "      <td>446911598.0</td>\n",
       "      <td>458803476.0</td>\n",
       "      <td>470898870.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>5454938.0</td>\n",
       "      <td>5531451.0</td>\n",
       "      <td>5608499.0</td>\n",
       "      <td>5679409.0</td>\n",
       "      <td>5734995.0</td>\n",
       "      <td>5770573.0</td>\n",
       "      <td>...</td>\n",
       "      <td>26015786.0</td>\n",
       "      <td>26941773.0</td>\n",
       "      <td>27884380.0</td>\n",
       "      <td>28842482.0</td>\n",
       "      <td>29816769.0</td>\n",
       "      <td>30809787.0</td>\n",
       "      <td>31825299.0</td>\n",
       "      <td>32866268.0</td>\n",
       "      <td>33933611.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 67 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Country Name Country Code     Indicator Name Indicator Code  \\\n",
       "0                        Aruba          ABW  Population, total    SP.POP.TOTL   \n",
       "1  Africa Eastern and Southern          AFE  Population, total    SP.POP.TOTL   \n",
       "2                  Afghanistan          AFG  Population, total    SP.POP.TOTL   \n",
       "3   Africa Western and Central          AFW  Population, total    SP.POP.TOTL   \n",
       "4                       Angola          AGO  Population, total    SP.POP.TOTL   \n",
       "\n",
       "          1960         1961         1962         1963         1964  \\\n",
       "0      54208.0      55434.0      56234.0      56699.0      57029.0   \n",
       "1  130836765.0  134159786.0  137614644.0  141202036.0  144920186.0   \n",
       "2    8996967.0    9169406.0    9351442.0    9543200.0    9744772.0   \n",
       "3   96396419.0   98407221.0  100506960.0  102691339.0  104953470.0   \n",
       "4    5454938.0    5531451.0    5608499.0    5679409.0    5734995.0   \n",
       "\n",
       "          1965     ...              2013         2014         2015  \\\n",
       "0      57357.0     ...          103165.0     103776.0     104339.0   \n",
       "1  148769974.0     ...       562601578.0  578075373.0  593871847.0   \n",
       "2    9956318.0     ...        32269592.0   33370804.0   34413603.0   \n",
       "3  107289875.0     ...       380437896.0  390882979.0  401586651.0   \n",
       "4    5770573.0     ...        26015786.0   26941773.0   27884380.0   \n",
       "\n",
       "          2016         2017         2018         2019         2020  \\\n",
       "0     104865.0     105361.0     105846.0     106310.0     106766.0   \n",
       "1  609978946.0  626392880.0  643090131.0  660046272.0  677243299.0   \n",
       "2   35383028.0   36296111.0   37171922.0   38041757.0   38928341.0   \n",
       "3  412551299.0  423769930.0  435229381.0  446911598.0  458803476.0   \n",
       "4   28842482.0   29816769.0   30809787.0   31825299.0   32866268.0   \n",
       "\n",
       "          2021  Unnamed: 66  \n",
       "0     107195.0          NaN  \n",
       "1  694665117.0          NaN  \n",
       "2   39835428.0          NaN  \n",
       "3  470898870.0          NaN  \n",
       "4   33933611.0          NaN  \n",
       "\n",
       "[5 rows x 67 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "population = pd.read_csv('population.csv', skiprows=4)\n",
    "population.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "China, Hong-Kong est manquant des données de worldbank.org\n",
      "Iran est manquant des données de worldbank.org\n",
      "Korea, South est manquant des données de worldbank.org\n",
      "US est manquant des données de worldbank.org\n"
     ]
    }
   ],
   "source": [
    "for country in countries:\n",
    "    if country not in list(population['Country Name']):\n",
    "        print(country, \"est manquant des données de worldbank.org\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "Même problème qu'avec les données de l'OCDE à part que l'Iran est présent sous le nom \"Iran, Islamic Rep.\".\n",
    "\n",
    "La solution adopté est d'inclure Hong Kong dans la Chine, omettre l'Iran et la Corée et pour les états-unis on adapte juste le nom à la source des données.\n",
    "\n",
    "Par ailleurs les DOM/TOM sont inclu dans la population de la France."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- Netherlands\n",
      "La province Aruba est considéré comme un pays dans le fichier de données\n",
      "La province Curacao est considéré comme un pays dans le fichier de données\n",
      "La province Sint Maarten est considéré comme un pays dans le fichier de données\n",
      "-- United Kingdom\n",
      "La province Bermuda est considéré comme un pays dans le fichier de données\n",
      "La province British Virgin Islands est considéré comme un pays dans le fichier de données\n",
      "La province Cayman Islands est considéré comme un pays dans le fichier de données\n",
      "La province Channel Islands est considéré comme un pays dans le fichier de données\n",
      "La province Gibraltar est considéré comme un pays dans le fichier de données\n",
      "La province Isle of Man est considéré comme un pays dans le fichier de données\n",
      "La province Turks and Caicos Islands est considéré comme un pays dans le fichier de données\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:4: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.\n",
      "  after removing the cwd from sys.path.\n"
     ]
    }
   ],
   "source": [
    "for country in ['Netherlands', 'United Kingdom']:\n",
    "    print('--', country)\n",
    "    for state in death_data[death_data['Country/Region'] == country]['Province/State']:\n",
    "        if type(state) is str and len(population[population['Country Name'].str.contains(state)]) > 0:\n",
    "            print('La province', state, 'est considéré comme un pays dans le fichier de données')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Les colonnies de la Hollande et du Royaume Uni sont considérées comme des pays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "outputs": [],
   "source": [
    "def plot_death_bed(countries):\n",
    "    data = death_data\n",
    "    death_bed_data = []\n",
    "\n",
    "    plt.figure(figsize=(16,10))\n",
    "    plt.title(\"Nombre de mort en fonction du nombre de lit d'hopital\")\n",
    "    plt.xlabel('Nombre de lit (pour 1000 habitants)')\n",
    "    plt.ylabel('Nombre de mort (pour 1000 habitants)')\n",
    "    \n",
    "    for country in countries:\n",
    "        # Get the data for the country\n",
    "        if country == 'United States':\n",
    "            country_data = data[(data['Country/Region'] == 'US') & data['Province/State'].isnull()]\n",
    "        elif country in ['Netherlands', 'United Kingdom']:\n",
    "            country_data = data[(data['Country/Region'] == country) & data['Province/State'].isnull()]\n",
    "        else:\n",
    "            country_data = data[data['Country/Region'] == country]\n",
    "            \n",
    "        if len(country_data):\n",
    "            if country == 'US':\n",
    "                country = 'United States'\n",
    "                \n",
    "            if country == 'Russia':\n",
    "                pop = population[population['Country Name'] == 'Russian Federation']\n",
    "            else:\n",
    "                pop = population[population['Country Name'] == country]\n",
    "            \n",
    "            if len(pop) == 1:\n",
    "                pop = pop.iloc[0]['2019']\n",
    "                beds_1000_pop = bed_data[bed_data['Country'] == country].iloc[0]['2019']\n",
    "\n",
    "                death_1000_pop = country_data[data.columns[-1]].sum() / (pop / 1000)\n",
    "\n",
    "                # Plot\n",
    "                curve, = plt.plot(beds_1000_pop, death_1000_pop, 'o')\n",
    "                plt.text(beds_1000_pop, death_1000_pop, country)\n",
    "                \n",
    "                death_bed_data.append([country, beds_1000_pop, death_1000_pop])\n",
    "            elif len(pop) > 1:\n",
    "                print('Multiple population match for', country)\n",
    "    plt.show()\n",
    "    \n",
    "    return pd.DataFrame(death_bed_data, columns=['Country', 'Beds', 'Deaths'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "death_bed_data = plot_death_bed([country for country in countries if country not in ['China, Hong-Kong', 'Iran', 'Korea, South']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "hideCode": true,
    "hidePrompt": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SpearmanrResult(correlation=-0.6272727272727273, pvalue=0.03884525362035334)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.spearmanr(death_bed_data['Beds'], death_bed_data['Deaths'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pour les pays demandés par les auteurs du MOOC il y a une forte corrélation négative entre le nombre de lit et le nombre de mort. i.e. plus il y a de lits d'hopital moins il y a de morts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "death_bed_data = plot_death_bed(bed_data['Country'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SpearmanrResult(correlation=0.2352490646984116, pvalue=0.15509226958149783)"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.spearmanr(death_bed_data['Beds'], death_bed_data['Deaths'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En revanche si on regarde l'ensemble des pays on trouve une légère corrélation positive. i.e. plus il y a de lits plus il y a de morts. Néanmoins la pvalue est supérieur à 0.05, elle est donc trop élevée pour rejeter la null hypothesis selon laquelle les deux valeurs ne seraient pas corrélées."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_code_all_hidden": true,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}