02_exploration_initiale.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploration initiale\n",
    "\n",
    "> Ce notebook contient quelques pistes pour explorer les données sur les tweets. Pour éviter tout problème, nous avons fait le choix d'anonymiser les ids des tweets et des utilisateurs et de décorréler les informations sur les retweets. De plus, les dates ont été légérement modifiées.\n",
    "> \n",
    "> Les données texte sont contenues dans le fichier `text_data.csv` et les données de retweets sont stockées dans le fichier `graph_data.csv`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "import json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lecture des données texte"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        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>user_id_str</th>\n",
       "      <th>timestamp_ms</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-8790648164648501458</td>\n",
       "      <td>1.643323e+12</td>\n",
       "      <td>RT @YvesPDB: La fragilité des young leaders de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3038431102003874432</td>\n",
       "      <td>1.643324e+12</td>\n",
       "      <td>RT @Mike_Bresson: Le chômage au plus bas depui...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-3957050983149290591</td>\n",
       "      <td>1.643357e+12</td>\n",
       "      <td>RT @Sergi_lub: Je vais partager mon témoignage...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6457802829221855681</td>\n",
       "      <td>1.643329e+12</td>\n",
       "      <td>RT @BOROWSKIMIKE: Macron qui a fermé plus de 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-6548238077394744598</td>\n",
       "      <td>1.643357e+12</td>\n",
       "      <td>RT @founzydelamoya: Pensez vous que macron soi...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           user_id_str  timestamp_ms  \\\n",
       "0 -8790648164648501458  1.643323e+12   \n",
       "1  3038431102003874432  1.643324e+12   \n",
       "2 -3957050983149290591  1.643357e+12   \n",
       "3  6457802829221855681  1.643329e+12   \n",
       "4 -6548238077394744598  1.643357e+12   \n",
       "\n",
       "                                                text  \n",
       "0  RT @YvesPDB: La fragilité des young leaders de...  \n",
       "1  RT @Mike_Bresson: Le chômage au plus bas depui...  \n",
       "2  RT @Sergi_lub: Je vais partager mon témoignage...  \n",
       "3  RT @BOROWSKIMIKE: Macron qui a fermé plus de 1...  \n",
       "4  RT @founzydelamoya: Pensez vous que macron soi...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_text = pd.read_csv('text_data.csv')\n",
    "df_text.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nb de tweets:  25812\n",
      "nb utilisateurs:  16872\n"
     ]
    }
   ],
   "source": [
    "print('nb de tweets: ', len(df_text))\n",
    "print('nb utilisateurs: ', df_text['user_id_str'].nunique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Étude temporelle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Timestamp('2022-01-27 21:48:05.610406006'),\n",
       " Timestamp('2022-01-28 17:30:37.092871826'))"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_text['datetime'] = pd.to_datetime(df_text['timestamp_ms'], unit='ms')\n",
    "\n",
    "df_text['datetime'].min(), df_text['datetime'].max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Pour calculer le nombre de tweets par minutes, nous allons extraire les ans, mois, jours, heures, minutes de nos données puis reconstruire une colonne `datetime` à partir de ces données. On pourra ainsi aggréger les données selon cette colonne: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
       "      <th>nb_tweets</th>\n",
       "      <th>datetime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>21</td>\n",
       "      <td>48</td>\n",
       "      <td>14</td>\n",
       "      <td>2022-01-27 21:48:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>21</td>\n",
       "      <td>54</td>\n",
       "      <td>8</td>\n",
       "      <td>2022-01-27 21:54:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>21</td>\n",
       "      <td>55</td>\n",
       "      <td>105</td>\n",
       "      <td>2022-01-27 21:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>21</td>\n",
       "      <td>56</td>\n",
       "      <td>116</td>\n",
       "      <td>2022-01-27 21:56:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>21</td>\n",
       "      <td>57</td>\n",
       "      <td>108</td>\n",
       "      <td>2022-01-27 21:57:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  month  day  hour  minute  nb_tweets            datetime\n",
       "0  2022      1   27    21      48         14 2022-01-27 21:48:00\n",
       "1  2022      1   27    21      54          8 2022-01-27 21:54:00\n",
       "2  2022      1   27    21      55        105 2022-01-27 21:55:00\n",
       "3  2022      1   27    21      56        116 2022-01-27 21:56:00\n",
       "4  2022      1   27    21      57        108 2022-01-27 21:57:00"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_analysis = df_text[['datetime']].copy()\n",
    "\n",
    "time_analysis['nb_tweets'] = 1\n",
    "\n",
    "time_analysis['year'] = time_analysis['datetime'].dt.year\n",
    "time_analysis['month'] = time_analysis['datetime'].dt.month\n",
    "time_analysis['day'] = time_analysis['datetime'].dt.day\n",
    "\n",
    "time_analysis['hour'] = time_analysis['datetime'].dt.hour\n",
    "time_analysis['minute'] = time_analysis['datetime'].dt.minute\n",
    "\n",
    "time_analysis = time_analysis.groupby(['year', 'month', 'day', 'hour', 'minute']).sum().reset_index()\n",
    "\n",
    "time_analysis['datetime'] = pd.to_datetime(time_analysis[['year', 'month', 'day', 'hour', 'minute']])\n",
    "\n",
    "time_analysis.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with plt.style.context('dark_background'):\n",
    "    plt.figure(figsize=(20, 10))\n",
    "    plt.plot(time_analysis['datetime'], time_analysis['nb_tweets'], color='b')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Sur ce graphique, on voit bien les moments où le programme permettant de récupérer les données était en fonctionnement. Si on s'intéresse à la première partie, entre le 27 et le 28 à 4h: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_limit = pd.to_datetime('28/01/2022 4:00:00')\n",
    "\n",
    "with plt.style.context('dark_background'):\n",
    "    plt.figure(figsize=(20, 10))\n",
    "    plt.plot(\n",
    "        time_analysis['datetime'][time_analysis['datetime'] < time_limit],\n",
    "        time_analysis['nb_tweets'][time_analysis['datetime'] < time_limit], color='b')\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> On peut voir une décroissance du nombre de tweets assez naturelle au vu de l'heure et du sujet (Macron). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Étude des utilisateurs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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4m5544gk5deqUJCUlSaNGjaRhw4aSkJAgQUFBpqPlcv/998vp06dNxxCR/zdh7Pz584aTwE4qVqwovr6+Eh8fL4cOHTKWw8/PT1RVoqOjpXr16tKmTRtJTEyU4OBgY5lEsiYPent7S2ZmpqSkpMhvv/1mNI9VM2XL3p8OHjwoSUlJpuPgDpQqVUrOnj1rOkYu7dq1k40bN5qOYTnlypWT9PR0+fPPP0VEpE+fPlK7dm2Jj4+XefPmSWZmprFsderUkXLlyklmZqYkJSUZfX3JS9GiReWXX34xdv/t2rWTkJAQuXz5srEM+Gf+Le9lTFuxYoX06NHDdIw8Wfm9lbu7uzz88MOSkpIiFy9eNJLB29tbxo4dK1evXpUPPvhAevToIS+//LKkpqbKm2++KYmJiUZyiZh7jTHe4bpZ1ahRw/G1q6urjhkzRtevX68fffSRsY709OnTNSIiQiMjI3X8+PEaERGhY8eO1bCwMJ08ebKxbZXXVKEjR45o8eLFHWtp5HeVK1dOV6xYoenp6ZqUlOS4hGLFihWORffyu+rVq+e4BrxgwYL6/vvv64YNG9Tf3/+6yxjyq6y4nxcrVkw//vhjTUhI0LNnz+qZM2c0Pj5eP/74Y/Xw8DCSSeTGk2kOHTpkbDLNuHHjdNeuXRoVFaUTJ07Ubdu26dixY3X79u36zjvvGMlUvXp1DQsL0+TkZP3zzz919+7dmpKSoosWLTK2n+eV6fDhw0YzWXF/EsmaSNO3b9/rnidfeuklY5lWr16tzz//fJ5nI5kqKy7caMUJPiKi3t7eumLFCv3uu+/07bffzvUJes6/g/ysAwcOOF7j/P399euvv9aePXvqggULjC1626RJE42KitKwsDA9d+6cbty4UXfu3KnffPONent7G8nk4uKiAwYM0ODgYMd0saCgIB04cKCxMyF+//13PX36tC5ZskTbtm1r9CzJnJX93HntQtwmnztvVnPnzjVyv1Z9L3Oj6tOnj/EMVikrvrcS+fdN2TRVhl9jzG+Am1XO0+umTJmiixYt0iZNmui0adN08eLFRjJlL1BVqFAhPXfunOOgxdXV1ei1lZmZmbmmCqWkpOjly5cdE4ZMZPr++++1W7duuQ4InJ2dtXv37tct3Jafj1/24nFz587V6dOna+PGjXXcuHG6evVqI5msuJ9v2bJFR40aletyIU9PTx01apSGhIQYySRizck0sbGx6uzsrIUKFdKLFy/maiyaWjtj165djkkPfn5+jnHp/fr106+//ppMFt6fJk6caMmRqD/99JN+/fXXevbsWV25cqV27NjRcWmVqbLiwo1WnOAjIhoaGqoDBw7UWrVq6WeffaYRERGOy3NMLe6ccwHn6OjoXIvxmvr727t3r5YuXVpFRCtWrKhr1qxREdEWLVoYe+2z4uj0vXv3avHixbVfv366detWPXnypM6ZM8fo2G2rjpPO64PZEiVKaMmSJY2tH2XV9zI3qmunbuZ3Va1aVZs3b37dBx+tW7fO9yxWfG8lYs0pmzerd99918j9Gn6NMb/hb7Vxsr+OiYnJ9cmGqTdU2U+IBQoU0HPnzjmuZ3R2djY6hWL48OEaHBysjz32mONnpqcGJCUl3dFt97Jyrjp/7YGAqYW+rLifJyYm3tFt97qsOJkm5/1em8HUPnXtm6ac283UBC0rZrLi/mTFkag577to0aL6wgsv6ObNmzU9PV0XLlyoLVu2NP74WWXhRitO8Mlre/Ts2VPj4uK0UqVKxt4Ub9myRZ988kkVEV21apXjLI2SJUtaYsS8s7Nzrm1jajKNFUenX7vPeHp66uDBg/X77783Ns3Sqs+dV65c0cOHD+f6YDb7+z///NNIJiu+l8k+m+3aio2N1T/++MPY4zd48GBNTEzUtWvX6pEjR3INfjDx3GnF91bXbgurTNm8WZlqJpp8jXEVi/Pw8JCOHTuKs7OzFChQQK5cueK4TVWNZNq8ebN89913UrBgQZk/f74EBgbK7t27pWnTpvLdd98ZySQiMm3aNFm5cqVMnz5djh07Ju+9956xbZRtz549MmvWLFm8eLEcO3ZMRLKu6e/du7fExMQYyRQXFyd9+vSR//znP7J//36pU6eO7NmzR6pUqSJ//fWXkUxW3M9TU1Nl5MiRsnjxYklPTxcRkTJlykifPn0cj6UJtWrVkosXL4qTk5MUKFBAHnjgATl58qS4ubmJi4uLkUyXL1+WQoUKyaVLl6ROnTqOnxcrVkyuXr1qJNPhw4dl7NixEh4eLp07d5Z9+/aJiIirq6s4OzuT6b+suD+5uro61ja5ePGitGvXTr788ksJDAyU++67z0gmkf/3XPTLL7/IV199JV999ZWULFlSunbtKm+99ZaEhYXle6YLFy7IgAEDpFixYnL+/HkZOnSoBAYGSosWLeTXX3/N9zwiItHR0dKyZUsZPHiwhIeHy+jRo42/FouIuLm5SYECBRzr6SxbtkxOnjwpISEh4u7ubiRTv379ZMmSJfL+++/LxYsXZd++fbJv3z4pXry4DB8+3Eim6OhomT9/voSHh0v79u3l22+/FRGRQoUKGXtOOHfunDz77LOyevVqx77k5OQkXbt2Nba2h5OTU67vT506JTNnzpSZM2dK+fLljWSy6nNnSkqKPPXUU3keO6WlpRlIZM33Mp6entK6devr9mknJyf5/vvvjWQSEenfv7/UqVNHfvvtN6lQoYKsWrVKKlasKJ999tl1fwf5wYrvrUREqlWrJvv37xcnJyepWLGiFC9eXC5cuCBOTk7G/v5utLaQk5OTFCpUKJ/TZDH9GmO843azyj5NOrvKlCmjIlmfLGzdutVYrgYNGjhOKa9UqZKOGDFCu3btmus0ZZPVrl073bVrl544ccJoDjc3N33llVc0ODhYY2NjNTY2VoODg3XQoEF63333GclUrFgxXbRokf7444+6e/duvXz5sh4+fFi//fbbG47kvtdlxf28ePHi6u/vrwkJCXru3Dk9d+6cxsfHq7+/v7E1o25WJifT3GhfLlWqVK4z8PJ7e0yaNEk3btyoEyZM0CJFiqhI1v6f12Sm/9VMN8tqan+y4khUEbOjyG9U3t7e+sUXX+js2bPV09NThw4dqgcOHNBNmzZptWrVjOez0gSfoUOH5rlf+fj4aGhoqNFs1apV0/bt22vnzp21Xr16Ro+lXF1dddCgQTpz5kzt16+f43KKggULXrduTH7VtaPTk5KSND093ejo9KZNmxrdZ/Iqqz53vvrqqzc8vsx5OVp+l9Xey8yfP18bN26c523Lli0ztp2uPQvD3d1dg4ODderUqUbOLLXieysRa07ZTE1NdbynurZMnZlo+DXGzM7xb6/sU0lFsp4A6tSpY7k3wwULFtRHH33UeA6rVtGiRbVmzZpau3btGz4pUNatMmXKqK+vr/r6+lrm8atXr55jAdd69eoZz0PdWZl+LrfiSFSK+l8uK42bt9Lo9GuL507KjrVt2zatVatWrp+5uLjo4sWL9cqVK8bzWblMP3d++OGH6ufnl+dt/v7+xrePgTIe4Kbl5uamL774oj711FMqItqjRw+dOXOmvvrqq8YmGfTu3VvPnDmjhw4d0jZt2ujhw4d169atmpaWps8995yxbTV48GBjEyduVIUKFdKRI0fqm2++qQUKFNBevXrp+vXrddKkSUYnw5QrV84xmapChQrapUsX400yd3d37dKliw4dOlQHDx6srVu3Nn4GWatWrXT27Nm6fv16Xb9+vc6ePdvIQnY5y8fHR3ft2qXx8fEaFhamYWFhmpCQoLt27VIfHx8jmVq2bKnJyckaFBSk8+bN03nz5mlwcLAmJycbW/vEipPi6tSpo+Hh4bp06VL19vbW0NBQvXDhgv7www/GHrtGjRppfHy8xsXFab169TQ0NFR//PFHTUtLM3bGz7Xl7u6uvr6+Rqfp3ahMLT6fXVOnTtVGjRoZ3w63W6Ym+NyoTK0Pk11WnDRmxUlxIlkL4tetW1dFsiYkDhs2TNu0aWMsT8OGDS3/3CmSteCz6Qw3qxYtWhi5Xyv+7d2sTL5n8PLyyjXoJGeZev1p1qyZzpw5U9etW6erV6/Wjz/+WCtXrmz0MbLqc6fVqmjRojpx4kRdsmSJ9ujRI9dtOSej3aMyvwFuVl999ZUGBATohg0bdMmSJbpmzRp94YUXdNGiRY6JMPldsbGxWqpUKa1YsaJevHhRK1WqpCJZZyCYWohXRPTChQt6/Phx/e6773TQoEGOFcNN1sqVK3XKlCk6a9Ys3bp1q86cOVMff/xxnTx5si5ZssRIptGjR2tKSoomJCToyy+/rAkJCTp//nyNi4vTYcOGGcnUtWtXjYyM1Hnz5umPP/6oS5Ys0a+++kr379+f6w18ftb06dN18+bN2r17d23cuLE2btxYu3fvrps3b9YZM2YY26diYmLyPJumfv36xhYDjY+Pz3OEZsWKFS2xaLFVJsVFRkZqmzZt9LnnntO0tDTt0qWLiog2b95cv//+e2OZHnvsMW3QoIGePn3acZq5r6+v7ty500gmq45EzW4AZ9eGDRv0l19+cXxvIlN6erpGRUXp0aNHddKkScYaiDnLihN8REQzMjL04sWLevHiRc3IyNCMjAy9cuWK4+cmMllx0pgVJ8WNGzdOd+3apVFRUTpx4kTdtm2bjh07Vrdv367vvPOOkUxWfO789NNPc9Vnn32m58+fd3xvItOtytQCs1b827PidsqrKleurJ07d9bq1asbuf+JEyfqwoULtWfPnvr111/r5MmTtV+/frp371599tlnjW0XKz53iog+8cQTjomyjRo10hEjRujTTz9tLM+qVav0448/1g4dOuj69et11apVjkv08mE7mfmfvt3KbqS4uLjoyZMnc42uM9VkyXk95/Hjx/PMa6L27t2rTk5O2rJlS50/f76mp6drcHCw9urVy7GWhsltde16Q6a2VVxcnBYsWFBLliypGRkZjgZZ4cKFjY2w3L9/v+MsjFKlSumWLVtUJOusjYiICCOZbvZJsMmpATe77+TkZGOZcl7+mV1ubm7GMllxUlzOTNcexFlhItu1TTpTBypWHYm6Z88eXbp0qTZt2lSbNGmiTZs21Z9//lmbNGlibIRz9uNXpUoVHTt2rMbFxWlCQoKOGzdOq1SpYiSTFSf4iGS9KV68eHGuS2NNTxuz4qQxK06Ki42NVWdnZy1UqJBevHhRixYtqiJZlzZZ4fncKs+daWlpunTpUn3xxRe1V69e2qtXL01PT3d8bSKTyPVN85zN819//dVIJiv+7Q0bNizPGj58uJ49e9bY4xceHu64ZOmFF17QQ4cO6bx58zQ2NtbIGk2xsbGOr11cXByN1uLFixt7HyNizefO6dOna0REhEZGRur48eM1IiJCx44dq2FhYTp58mQjma7dFu+8847u3LlTS5Ysec//9iw/1cvZ2Vnc3NzE3d1dChcuLB4eHnL+/HkpUKCAuLm5GcmUlpYmEydOlKJFi0piYqJMmTJF1qxZIy1atJATJ04YySQioqqiqhIWFiZhYWHi6uoqbdu2lR49esiUKVOkTJkyxrKJiAQFBeX63tSUk8zMTPnjjz/k8uXLcunSJTl79qyIiPz+++9G8ohkrS5/6dIlERH57bffHI/VgQMHpFixYkYy/fHHH1K3bl2Jjo7O9XM/Pz/5448/jGQSEQkODpZNmzbJkiVLck0z6NWrl2zZssVIpoULF0pUVJQEBATkyvTcc8/JggULjGSy4qS4P/74Q1q2bCkeHh6iqtKhQwdZv369NGnSxDGJJb/lnCb29ttv57rN5BSYbMWKFXNM6Thy5Iix6WciInXr1pU33nhDxowZIyNHjpT9+/fLpUuXjE6zzN6Xk5OTZcKECTJhwgSpUaOG9OjRQ4KCgqRKlSr5nsmKE3xERN544w2pXbu2rFixQtatWyeff/658WljVpw0ZsVJcVeuXJGrV6/KpUuX5PDhw/LLL7+ISNZzqqnJkVZ87nzkkUfkww8/lDZt2sibb74pJ06ckPfee0+WLFliJE+2J554Ql544YXr9h8nJyepV6+ekUxW/NubOHGifPLJJ7mOV7KZfO27//77He8VhgwZIg0bNpRz585JoUKFZPfu3fL555/na56rV69KiRIl5Pz58/Lggw86JkFlT9AyxYrPnS1btpTHHntMChUqJMePHxcvLy+5dOmS+Pv7S0xMjIwaNSrfMxUoUECcnJwcr78TJ06U48ePy3fffSdFihS55/dvrDN4OzV06FA9fPiwHj16VAcPHqxbt27VL7/8UmNjY3XcuHFGMhUtWlTfeustHT16tLq7u2vnzp1148aNOmvWLH3ggQeMbaubfWJuak2PefPm5XldbqVKlXTHjh1GMi1atEiXLVum69at0+XLl+uSJUv0+eef1/nz5+vKlSuNZPL399ctW7boO++847jeWiTrkoFrpwnkV/n6+uru3bv14MGDGhISoiEhIRofH6+7du3S2rVrG8mUXW3atNE5c+bohg0bdMOGDTpnzhyjl8CIZJ3KOnr0aP3ss8/0s88+09GjRxs7DVjEmpPiatasqVu2bNGgoCCtWrWqzpgxQ8+fP69xcXHGrpNv165dns+PlSpV0pEjRxrJ9Ntvv+n+/fs1NjZWMzIytHjx4ioi6uTkZPTTvOzy8vLSwMBAnTlzpvHT7614SYJVJ/hkl5OTkw4ePFi/++67685azu+y4qSx7Elxc+bMscykuN27dzuep3Ku/VesWDFjZ2dY8bkzu2rXrq3h4eE6YsQIPXLkiNEsIqJBQUHarFmzPG8zNS3Rin97ERERNzy+NDWBSSTrdSZ7cfDw8HAtUKCAiog6OzsbOUbv1q2bHj16VENDQzU1NdVx2VLp0qWNTj+z4pTN7GOmAgUK6Llz5xyLvzs7O+vBgweNZJo0aZJj7eKc1bp163t+RYXTf7+wtLJly4qIyIkTJ8TDw0NatGghaWlpEhUVZTiZtVSpUkWSk5NNx7A8FxcX6dq1q6iqrFq1SurVqyfPP/+8pKWlyaxZs4yd+dO2bVt55JFHZP/+/bJ161YRyfo0yM3NTS5fvmwkk4iIp6eneHl5iYjI8ePH5dSpU8ayAP8Lypcvn+v7n3/+Wa5cuSKlSpWSJk2ayNq1aw0ly+3pp5+Wxo0by5gxY4xlcHd3l99++83Y/f+bPfDAA+Lr6yvBwcGmo+AW7rvvvjyPA0qVKiVly5aVuLg4A6mud//998vp06dNx3B49dVXpWHDhvLiiy+ajoLb8PDDD8vZs2cdZ9fkVKZMGUlPTzeQSqRp06Yya9YsWb16tZQsWVJq164tISEh8vjjj0tISIhMnTo13zOVKFFCKlWqJD/++KNcvHgx3+//38Lf318aNWokBQsWlG+//VaqVasmu3fvlqZNm0pKSooMGjTIdMR89a9o/IiIlC5dWry9vSUzM1NSUlKMHuh5enrKuHHjRFVl3LhxMnjwYOncubMkJibKG2+8ISdPnjSWLfsUP1UVNzc3eeyxx+To0aNy/vx5Y5nc3d2lTZs2Uq5cOcnMzJSkpCQJDQ01foq5SNYTp4gY3T430q5dO9m4caPRDJ6eniIicurUKSldurQ88cQTkpiYKAkJCcYy1ahRQw4cOCAiIq6urjJ69GipV6+exMXFyYQJExyXzOWnPXv2yJo1a2T58uVy5MiRfL//vLRr105CQkKMNg3zUrVqVfHy8pLIyMhcz+OtW7eWkJCQfM/z2muvSUBAgJw9e1YqV64sCxculJo1a8qhQ4fk5ZdfloMHD+Z7pn+TQYMGyZw5c4zdf87nAyupWrWqdOjQIVfTfMOGDZKYmGg0l5+fn6iqREdHS/Xq1aVNmzaSmJhoyebPu+++Kx9++KGR+27WrJl06dIl13HLvHnzJCUlxUiemzHV/Mw+fsrm5OQke/bsEV9fX3FycrLMcVX2JTGmubi4OC5pdnd3l2rVqklKSoqxbB07dpTt27fL+fPnpXTp0jJ16lTx9fWV+Ph4GTFihBw/ftxILqsqVqyYPP/88/Lwww+Lq6ur/PTTT7J+/Xo5dOhQvmdxc3OTv/76y/F9s2bNpHbt2hIfH29syYNsrVq1Em9vb9m2bZukpqY6fv7SSy/JokWLjGRq0KCBqKpERkZKpUqVpFOnTpKWliarVq0y9l70oYceks6dO+d6jVm+fLnjMt57ychpTrdb1atX17CwME1OTtY///xTd+/erYcPH9ZFixZpsWLFjGQKDg7W119/XUePHq379+/XUaNGqbe3t77++uu6bt06Y9uqQ4cOevLkSf3555+1ffv2unv3bt26daseO3ZMn3nmGSOZrDitqly5crpixQo9deqUJiUlaXJysp46dUpXrFiR52Sm/KhOnTrlqs6dO+uJEycc35vINGDAAE1JSdEjR47oK6+8ort379b58+drYmKi9u3b10gmEWtOq0pJSdFPPvlEU1NTNTIyUocOHaply5Y1to1ERH///Xc9ffq0LlmyRNu2bZtrYXxTNXjwYE1MTNS1a9fqkSNHtH379nk+rvlZOU/T3rRpk3bs2FFFRJs2bWpsMs2ePXt0zJgxjomRVqm8Ft08ffq042sTma5cuaJJSUk6fvx4o5dW5qxRo0ZpTEyMjh49Wnv27Kk9e/bU0aNHO35mKpcVJ0PdrExdRmjViTlW206ZmZm5FjBPSUnRy5cvOxYzN5GpUaNGlhwx37t3bz1z5oweOnRI27Rpo4cPH9atW7dqWlqaPvfcc0Yy5bzMJSAgQIcOHapeXl7au3dvY5d6vfbaa45FlCtXrqzbt2/X8+fP6+7du/Wxxx4z9vhZrfbt2+e4BPzNN9/UiIgIHTNmjIaGhurHH39sLNdHH32k27dv1+nTp+uPP/6Y69Jmk1O9rq127doZvf8hQ4ZoaGiojhkzRiMiIvTzzz/XCRMm6MGDB7Vp06b3+v7NPwA3q127djlGsPn5+TlGuPfr10+//vprI5luNpnG1Krl2bk8PT0dY+azt1v58uWNTYKx4rSq77//Xrt165brjbCzs7N2795dd+3aZSTT5cuXdePGjbnWZMnIyNCFCxfqggULjGSKjY3VQoUKacmSJfWXX35RT09PFcmaGmB6P8/+2irTqnK+oD3++OM6a9YsPXHihIaHh2v//v2NbafixYtrv379dOvWrXry5EmdM2eOselL2ftU9ppfFSpU0KioKB0yZMh1j2t+VmJiouPrH374IddtpvYnKzYSRbLGgQcEBOi7776r48aN03Hjxum5c+ccX5vItHfvXn300Ud1woQJmpycrPv27dPRo0cba+KLZE1EzPm8lF1ubm5GJyJacTJU9nj5aysjI0P/+usvY9sp+2urTMyx4rSj4cOHa3BwcK435KanxFlxxHz2PlWqVCnH8Xl2U79MmTLG/vZyvvZFR0fnus3UMZ4VP4gREa1Tp46Gh4fr0qVL1dvbW0NDQ/X8+fP6ww8/qI+PT77nyfk8FBUV5Vi3xsXFxeh06djYWMeEWw8PD928ebNOmzZNRcwd41nxg/Xs12KRrDV4v/nmGxXJOjHhXm8nc0uk36ZChQpJUlKSiIhERUVJjRo1RERk/vz58uijjxrJlHNl+WsnBZhcdV4k65Kco0ePSlpammO7paWlGctlxWlVpUuXlsDAwFyTMK5evSorV66UUqVKGcnUqFEjKVSokPzwww/St29f6du3r5w5c0b69u0rL7/8spFMf/31l1y6dEnOnTsnhw8fdqztc+HCBaOX6WVPq+rcubNlplXltHPnTnnttdfEy8tLJk2aJA0bNjSSQ1XlwoULMn/+fGnRooXUqlVL4uPjxd/f39hkIWdnZ8clCampqdKsWTNp27atTJ061dgkilWrVsmiRYvkoYcekrVr18obb7wh5cuXlz59+hjbTufPn5eRI0dKhQoVZMSIEVKlShXZu3evhIeHS//+/Y1kEhF59NFHxdnZWdzd3eWTTz6R8ePHy/nz52X8+PEyfvx4I5lUVQ4ePChjx46VKlWqSP/+/aVMmTKyc+dOiYiIMJLp6tWr8uCDD17387JlyxqbwCRizclQFy5ckCpVqoiHh0euKlasmLEpqdkTc0TEMhNzJk6cKCVKlJCiRYvmqiJFihg7vps2bZr069dPxo0bJ1OnTpUiRYoYfw12c3OTuLg42b17t5w+fdrxHBATEyOFChUyliszM1POnj0rR48elV9//dVxyaCpNWtERL799lv54IMPHGufdOzYUUSyLhsytWaMq+v/GzZdpkwZWbdunYiIbN++XYoWLWokk4jI7NmzZfLkybJ582b5/vvvZe7cuVKiRAl56623ZPbs2fmeJyMjw/Ee+MyZM1KwYEERydp+Jt+Hurq6Oi5nvHjxorRr106KFSsmgYGBxib9rVy5Uvr27SvPPPOMtGvXTp555hlxd3d3fG1K9r5eoEABxySvY8eO5cvEcmOdwdup1atX69ixY7VRo0Y6ZcoUx9kPrq6uubrV+VkffPBBnpOqKleubOwsJJGsbmr2tAc/P7//191zdjb2KZUVp1WtWLFCZ82apfXq1dOyZctq2bJltV69ejpr1ixjU71EsiZ1DBkyRMPDw9XPz8/YqdLZFR0d7fjU2svLy/HzAgUK6L59+4zlsuK0qhUrVhh9rPKqm31qUL58eSOZtm3bprVq1cr1MxcXF128eLFeuXLF2Lbq3bu37t69W0+fPq0ZGRl68OBB/eijj4xdTpzXKdHOzs7aunVrXbhwobHtlF3t27fXnTt3apcuXYw/T91sPzd1dlvr1q01OTlZg4KCdO7cuTp37lwNDg7W5ORkbd26tbFtZcXJUB9++GGu45Wc5e/vbySTFSfmWHXaUXa1a9dOd+3apSdOnDCaI+exSYcOHXLdZnIi4vr163XixIk6c+ZM3bZtm06ZMkUbNWqk48aNc5wJn9/l6uqq7733nqampmpqaqpmZmZqRkaGLlu2TMuVK2ck04QJE3TRokX60EMP6dtvv61vvPGGli9fXvv06aMbN2409vjd7EoPE2ey1KhRQ/ft26eLFy/WxYsX648//qgLFy7UqKgo7dGjh7HttHHjxjxfdz/88EPNzMw0kqlu3bq6detWfeWVVxw/M31m4pAhQ3T//v365ZdfakJCgvbp00dFsl5j8mHKn7n/8dspDw8PnTRpkm7cuFEnTJigRYoUUZGsA5X69esbz2elqlu3rmPEYM6qUKGC9uzZ01iutm3b6ogRI7RFixaOnzk5Oel9991nJI+bm5u+8sorGhwcrLGxsRobG6vBwcE6aNAgY5ly1oMPPqgrV640/oaqXLlyeV6u8OCDD+Y5hpCyVuXDdcJ/u7y8vByXDF5bpsa5W7Gs2Ei8tgoXLqyTJ082Noo4u0we5N6snJyctH79+tq5c2ft3Lmz1q9f3/g6Wzd6fStVqhTrZ1xTJUqU0Dp16qiHh4fxLCKiDz/8sGPtk2sr+8MP01WwYEF99NFHjWaw6oj5okWL6ltvvaWjR49Wd3d37dy5s27cuFE///xzfeCBB4w/dsWKFdOSJUsazyFivQ9iRLKWiGjZsqU+++yzevToUUdTsUmTJsaW0nB2dtY2bdrokCFDdPjw4dqtWzfjz1cFCxZ0XHZ2bT344IPGclntg3UR0UceeUS7dOmiVatWze/7Nvs/brfK7tpZpW50oEBR/9YqV65crgZnnz599LPPPtNXXnnFcW1xftfgwYPV29vb+La5WRUtWlRr167tWBDQ5OOXfXBSoUIF7dKli/E3CzmrYsWK2qlTJxMvxv/K8vX1NZ7BipXXfv7II48YzyWS9amij4+P1qhRI8+zl/OzTA15uJ3K64MPKx1T3X///cYzXFvbtm0znoG6vbLy357VqmbNmrplyxYNCgrSqlWr6owZM/T8+fMaFxfHh1Y5ys3NLdf3zZo10+HDh2ubNm2MZxOxzgfreVWJEiXy677M/8/erJydnXXAgAE6fvx4bdiwYa7bxowZYzzftWVquoKIaJs2bTQlJUV37NihPj4+GhcXpz/++KMeO3ZMmzdvbnzbXFs5F1DMz7r2wK1nz5766aefGluEVyTvSQbnzp0zOsnA29tbV6xY4bhEL+dB8Nq1a41tqwMHDjg+0fP399evv/5ae/bsqQsWLDC2EPaFCxf0+PHj+t133+mgQYO0dOnSxrZPdi1dutSxT7Vq1UpTU1M1LCxMjx49amwyzejRozUlJUUTEhL05Zdf1oSEBJ0/f77GxcUZmwqVc19u3769pqSk6MKFC/XQoUPau3dvY49f165dHY9T8+bN9dNPP9VBgwblukQnv8vX1/e6OnbsmPr4+FiyARQUFGTkfq24n4vkPSU1JSXF6JRUK05la9asmR47dkxPnz6tISEhuRYKN3VJXIkSJXJVyZIl9ciRI1q8ePH8fMOQq/bv35+rYmNj9dKlS47vTWRavXq19uzZ03hD89rK+V7m2kaBqfcyVvzbu1nlvGqAunGZet0Tufm0sYkTJxrfNlapnH/z1atX10OHDjmmKNerV+9e37/5DXCzmjdvni5btkzfeOMNjY6O1qlTpzpuM/UCfO2LXc4XvT/++MPYtoqJidFq1appgwYN9MyZM45L4apVq2ZsW127mnrOVdXT09ONZMq5LcaMGaNbtmzRXr16aWBgoGP1+fwuK04yCA0N1YEDB2qtWrX0s88+04iICMepwKZW5xfJPYI0Ojo61xthU2sPZa+v1bJlS50/f76mp6drcHCw9urVy3F5an5XzsZqRESE481LqVKljG2nuLg4LViwoJYsWVIzMjIcDbLChQsbW38h574cERGhFStWNL6dZs2apV9//bWuX79ely5dqoGBgfrCCy/oihUrdMaMGUYyiWSNb46IiNDw8HBH/f777xoeHm7sk/68mlG+vr5au3Zt/fnnn41ksuJ+LmLdKalWm8r2ww8/OM7O6tKliyYlJTmOp0y99llxdHr281PVqlW1fPnyWqFCBU1LS9Py5csbW0fup59+0q+//lrPnj2rK1eu1I4dO153FoKJsuJ7GSv+7d2sTH6wLiJatWpVbd68+XVNRRPrtlnxdU/EmtPGihUrph9//LEmJCTo2bNn9cyZMxofH68ff/yxsUvjcv7Nb9q0yXFGlJ+fX35MvDazc9xu5dxRXFxcdO7cubp69Wq97777jL0Anzx5UmvVquV4ccuuChUq6PHjx41tq5w70rWL/ZkazXj58mVdtGjRdQvyZo8rN5Ep536zZ88eLVy4sIpkndZt6iwkK46Uvnaf6dmzp8bFxWmlSpWMHaiIiG7ZskWffPJJFRFdtWqV4wCzZMmSxt6oX7s9XF1dtV27drp8+XJjDc64uDjHuOYdO3bkapCZWlg9e192dnbWU6dO5cpk6g1xzscuMjIy122mXmOyn4dcXV31zJkzjjcupke1du7cWb/99ttcp22bXiTxypUrum3btlzNqJxNKROZrLifi1zfGM+578fHxxvJdO1zp5+fn06dOlWPHTuWHwfAt7WdHnnkEU1MTNQOHToYe+2z4uh0EdGOHTvq9u3btV27dioixi+hyH7OLlq0qL7wwgu6efNmTU9P14ULF2rLli2N5bLiexkr/u2tX78+z9qwYYP++uuvxh6/wYMHa2Jioq5du1aPHDmi7du3v+F2zI+y4uueSNaHZ9mX7gcHBzvO/ilQoICx174tW7boqFGjcq0v6enpqaNGjdKQkBAjmXLuM9f+/efD84GZneN2KyEh4bqfvfvuu7pz505NSkoykmn+/PnauHHjPG8zNfFBJOva6gEDBuibb76p+/fv16FDh+qDDz6ovXr10h07dhjJFB0dfcP1O0xNokhISFAfHx+tXbv2dQd4phpkVpxkEBcXd91i4U899ZQmJycb/UTB29tbw8PDdfv27bphwwY9d+6choeH6969e41d0nizJ+q8FprMj+ratatGR0frSy+9pP7+/rpq1Srt1auXLlq0SKdMmWIk06JFi3TZsmW6bt06Xb58uS5ZskSff/55nT9/vrGJeleuXNGLFy9qRkaG/vnnn46FNt3c3Iw1WXLuT8HBwbluM/UclV3u7u46bdo0DQwM1HLlyhl/o3fgwAH9//6//y/P20y9xlhxPxex5pRUK05li4qKum4Rei8vL42JiTH2gVV2hsDAQJ06daoWKVLE+N9edhUuXFinTp2q69at02PHjhnNkteb8JIlS+rAgQONrj9kxfcyVvzbO3funD799NPapEmTXNW0aVM9efKksccvNjbWcaZPhQoVNCoqSocMGXLL7XivyoqveyLWnDZ2s9c2U69758+fdzQ009PTc71PyIcGmZmd43Zr6dKleZ5G9/LLL+vly5eN57NSeXt76xdffKGzZ89WT09PHTp0qB44cEA3bdqk1apVM5Lp8ccfv+FYyDp16hjJdG13PPuNXsmSJY2tzi9ivUkGQ4cOzfPF38fHR0NDQ41tp+yqVq2atm/fXjt37qz16tUzuvZJlSpVjG+PvKpy5crq7++va9as0Q0bNujs2bO1VatWxvK4uLjoc889p927d1cXFxdt1KiRzpw5U0eOHOk4884q5eHhoQ0aNDBy30FBQXmuUeHp6XndWUmmytfXV8PDw42d0ZZdXbp0cVy+dG1dO845v+ra/bxhw4aW2M+tOCXVilPZnnrqKa1Zs2ae2++dd94xns8qo9OvrZo1a+rAgQONZjA9ZfBGZcX3Mlb82wsKCtJmzZpZ7rG99ixpd3d3DQ4O1qlTpxr5MMaKr3vZZbVpYyEhITpy5Mhc0w/LlCmjo0aN0rCwMCOZrm1sZh/vlSlTRl999dV7ff/mdg471aBBg4xnoP5ZOTk5GTs7g7qzKl68uONyJiuUlabl/FvKKiNk/w1VuHBhy03ysdLfH0Xdq7La4uVWGJ2eV3300UfGM1B3Xlbbz61S27Zt01q1auX6mYuLiy5evFivXLliPB914ypevLj6+/s71vg5e/asxsfHq7+/v7GF8U2W03+/sKx27dpJaGio/Pnnn6ajOAwbNizX905OTvL222/LxIkTRURk+vTpJmJJqVKl5OzZs47ve/bsKfXq1ZMDBw7I/PnzjWS6mXfffVc+/PDDfL9fNzc3+euvvxzfN2vWTGrXri3x8fGyZcuWfM8jYs39fOrUqbJ69Wr5/vvvTUfJpWzZsuLv7y8dOnSQIkWKyPHjx0VEZOHChfLRRx/JlStX8j1T9erV5bPPPpOKFStK+fLlJSYmRsqUKSPbt2+XN954QzIyMvI9042eD+Li4mTevHn5nkdE5OOPP5YpU6bI2bNnpU6dOhIYGCiZmZly3333Sa9eveS7777L90xnz56VNWvWyIoVKyQ8PDzf7/92ffTRRzJmzBijGVxcXOTll1+WTp06yYMPPigiIsePH5f169fLggULjPztiYg89NBD0rlzZylXrpxkZmZKUlKSLF++XH755RcjeapWrSrTp0+Xq1evypAhQ+Tdd9+VDh06SHJysvTu3VsSExON5HJycpLevXtLly5dcm2rL774QrZv324kU+vWrSUkJERERIoVKybTpk0TPz8/iYuLk2HDhkl6enq+Z/L19c31vZOTk6xfv17atWsnTk5OEhMTk++Z8rJt2zZ56qmnjN3/p59+et3PevXqJUuWLBERkTfeeCO/I4mISNGiReX++++XlJSUXD+vUaOGHDhwwEgmkaznhQ4dOoiXl5eIZD13btiwwdjzgZX38zJlyuTaTiaeB3Ly8vKSK1euyKlTp667rVGjRsaPkxs3buw4vgsLCzOWw93dXUaNGiVdunQRb29vuXz5shw+fFi++OILWbx4sbFc/yZz586VgQMH3rPfb/nGz++//y6//fabBAcHy4oVKyQkJESuXr1qNFNGRoYEBQXJwYMHxcnJSUREhg4dKjNmzBARkfHjxxvJtWfPHqlTp46IiIwZM0aeeOIJWb58uTzzzDPy008/yfDhw43kupHU1FSpUKFCvt/vvn37pFmzZnLhwgV58803pVOnThIUFCRNmzaVPXv2yNtvv53vmay4n6enp0tqaqrcf//9snLlSlmxYoXs27fPaCaRrIPd8ePHy/bt26VTp07yxBNPyNixY+Xtt9+WMmXK3NMnzBvZtWuX9O7dW5KSksTPz09ee+016dOnj/Tr109at24tXbt2zfdMVnw+iI2NlZo1a4qISHh4uIwaNUqio6OlSpUqsnz5cvHz88v3TImJiTJz5kzp0aOHVKxYUVatWiUrVqyQyMjIfM+S7do3VE5OTvLiiy8af0O1fPlyuXDhgixevFh++uknERHx9vaW3r17S8mSJeW5557L90yDBw+Wdu3ayfbt2+Xpp5+WmJgYuXDhgnTq1EleffVVIw2N7du3yyeffCJFihQRf39/GT16tKxcuVKeeeYZGTp0qLRo0SLfM4lkNcdTU1Nl69at8uyzz0pGRobs2LFDRo8eLevXr5fPP/883zPlfJ6aN2+enDx5UubNmyedO3eWpk2bSqdOnfI9U2ZmpuzevTvXBzENGjSQ3bt3i6oaabbs378/1/dOTk5SpUoVSUpKEhGRWrVq5XumtLQ02b59u4SGhjqOhadMmSJvvvmmiIjj+So/de3aVWbMmCHp6eni5uYmffr0kejoaBHJva/lt1GjRkmPHj0kICAg13Pnc889JwEBATJp0qR8z2TF/dzHx0fmzJkjHh4ejg/1vL295cKFC/Lqq69apukqIjJo0CCZM2eOkfuOjIyU+vXri4hIv3795LXXXpO1a9dKq1atZOPGjUb2JxGRdevWydq1a2Xr1q3SrVs3cXd3l4CAABk7dqwcP37c2IdXVatWFS8vL9m9e7f8/vvvjp/n/OAhP5UoUSLPnzs5Ocn+/fulXLly9/T+jZ92dLPau3evFi9eXPv166dbt27VkydP6pw5c4wtPCYiWq5cOQ0MDFR/f3/HpUFWWGTPitOqLl68mGdlZGToX3/9ZSSTFccNWnE/z96fqlSpomPHjtW4uDhNSEjQcePGGV3T5toFuaOjox1f57WAoolMVpiWY8Xng/j4eHVxcVGRrNHSOW8zlSnnY1WuXDkdOXKk7tmzRw8fPmzssoW0tDRdunSpvvjii9qrVy/t1auXpqenO742kUlE9NChQ3d0272s2NhYdXZ2VpGshdS/+eYbx2NpalpOzvtNTk7OdZvJiYjXvr5l/w3ed999lpjqde1aGaYWMrfi9Dorjk4vUqSITp8+XZctW6Zly5ZVEfPHwjExMY51G/38/DQhIUE7duyoIuamNIpkPT+6urpe93M3NzdjiztbcT+PiYnRevXqXffz+vXrG5vaKiI6bNiwXDV8+HA9ffq04/v8zpNzX/7hhx+0dOnSKpJ1ObipYymR64+Fs6cUOzk5GTs+t9pENpGsoSKHDx/WlJQUR2V//+eff97T+3YWi1NVuXDhgsyfP19atGghtWrVkvj4ePH395e0tDQjmY4dOybdunWT77//XsLCwqRLly5GclyrUKFC4uPjI7Vr1xYXFxdHV/PKlSuSmZlpJNOFCxekSpUq4uHhkauKFSsmJ06cMJIpIyNDHn30UREROXPmjBQsWFBERFxdXcXZ2cyfhBX3c1UVEZHk5GSZMGGCPPbYY9KtWzcpWLCgBAUFGckkInL69Gnp2bOnPPjgg/L666/L0aNHHbeZevwOHz4sY8eOlUaNGsmUKVMcZ0aZ3Kes+Hwwe/ZsCQoKkieffFK2bNkiM2bMkCZNmsj7779v7Gyy7E+qRbKe2z/55BOpU6eOPP3008YuvXzkkUfkzJkz0qZNGwkLC5MlS5bIL7/8IkuWLDHyKXq2c+fOybPPPptrmzk5OUm3bt3k/PnzxnK5urqKiEiBAgWkSJEiIpL1WLq5uRnJ4+Li4vh62rRpuW6777778juOw19//SWVKlUSkazLPC5fviwiIpcvX3Y83+e3MmXKyLBhw2T48OFSrFixXLeZeu5cs2aN/N///Z+0atVKAgMDpVy5csa2T7YOHTrI6tWr5csvv5RatWpJamqq/PXXX5KWlmbsGOHXX3+VYcOGydSpU2XZsmUyYsQIY49ZNhcXFzl58qSIiERFRcmTTz4pY8eOlcGDBxt9DK9eveq4PDansmXLGju724r7ubu7u/zwww/X/TwyMlLc3d0NJMrywQcfSP369aVIkSJStGhRKVKkiLi4uEjRokWlaNGi+Z7H2dlZihcvLiVLlhQnJyc5c+aMiGRdPWDqkmsRkd9++00aN24sIllLWJw7d05Est5P5DxuyE/9+/eXOnXqSKdOnaRZs2by7rvvypAhQ0REjGVKSUmRZs2aSaVKlRxVuXJlqVSpUp6XE95txjqDt1M369Cb+pQjZxUuXFgnT55siUkCVpxW9eGHH6qfn1+et/n7+xvJZMVxg1bcz01+OnazKleunK5cuVIPHDigS5cuzbWfd+7c2UgmK07L+eabbyz3fCAi2qxZMw0ICNC9e/dqbGysBgUF6YABA/L8NDQ/aurUqca2xa2qdu3aGh4eriNGjNAjR44Yz1OhQgUNCAjQ9PR0PXTokCYlJWl6eroGBARoxYoVjWQaMmSI7t+/X7/88ktNSEjQPn36qEjWQuumXpcHDBiQ5+LulStX1unTpxt7/J588klNTU3VpKQkTUlJcXyyXrp0aZ00aZKRTOPGjctV2Z9ce3p66uLFi41tq+zy8fGxxPS67LLS6PRr69VXX9WlS5cazRAREaGVKlXK9bMiRYro1q1b9Y8//jCWq3Xr1pqcnKxBQUE6d+5cnTt3rgYHB2tycnKe077yu7L381OnThnN8emnn+qmTZu0W7du2rBhQ23YsKF269ZNN23apDNnzjSWy2pXehw5csRxhsjhw4cdx3fu7u7GzpQUyXp/FRkZqefOndMdO3Y4Jo+VLl1aBw8ebCST1SayiWQ9V+Y1OVJE9PXXX7+n9235NX6aNm1qbNHBv+PahVStxNnZWQoUKCCXLl0yHcUynJ2dpVWrVvLwww+Lq6ur/PTTTxISEiIXL140kseK+7m7u7v89ttvpmPgLuP54N/n1VdflYYNG8qLL75oOopDyZIlRUQcn+iZ9Mgjj0j16tUlLi5ODh06ZDqO5Vn5eMWqihYtamyx8LzUrFlTGjZsKHPnzjUdxVIL8dasWVN+++03OXz4cK6fu7q6Srdu3WT58uWGkmWdXVCvXr1c2yoqKsr4eo45WWE/b9u2rbRv3/66RbCDg4ON5hIRad++vYwaNUqmT58ukydPlsqVK5uOlEuhQoXE09Mz15nw/+u2bdsmw4cPz7VOmouLiyxcuFB69uzpOGP4f4mxzuCdlunxa23atNGUlBTdsWOH+vj4aFxcnCYnJ+uxY8e0efPmxrdPnTp1tGPHjtquXTutWrWq8TxPPPGEo+vbqFEjHTFihD799NPGc+UsK46wbNeundH7r1GjhvFtkFc99NBDumDBAh0/fry6u7vrl19+qQcOHNDAwECtUKGCkUyenp46a9Ys/fzzz7VkyZL63nvvaWxsrK5cudLxSQyPX1a1atVKZ8+erevXr9f169fr7NmzjX7i2bFjR8drSunSpXXx4sUaGxurAQEB6uXlZXx7iWSNTK9du7YWL17ceBY/Pz+tW7euiohWr15dhw0blmuNCBPl5OSkTk5OKpK1Zoavr6/R44RSpUrl+r5nz5766aefav/+/Y0/fteWFc6qyVmNGzfWYcOGacuWLXn8cpSbm1uu75s1a6bDhw83+rdXq1Yt3bVrl8bHx2tYWJiGhYVpQkKC7tq1y5LHVNT11apVK+3bt+91x04vvfSS8WxWLStd6ZGzBg0aZDzDtWWF53MvLy/19PTM87ZGjRoZydSuXTstUKCAqW1ifse4WTVs2FDj4+M1Li5O69Wrp6Ghofrjjz9qWlqaNmjQwEimmJgYrVatmjZo0EDPnDnjuJSjWrVqRhdubNKkiUZFRWlYWJieO3dON27cqDt37tRvvvlGvb29jWSaPn26RkREaGRkpI4fP14jIiJ07NixGhYWppMnTzaSydfX97o6duyY+vj4GDtY6dSpU67q3LmznjhxwvG9iUxXrlzRpKQkHT9+vFavXt1Ihrxq+/bt+sorr+jo0aP1wIEDOnz4cPX29ta+ffvqtm3bjGQKDg7W119/XUePHq379+/XUaNGqbe3t77++uu6bt06Hr//1vTp03Xz5s3avXt3bdy4sTZu3Fi7d++umzdv1hkzZhjJdPDgQcfXAQEBOnToUPXy8tLevXtraGiokUxLly51vPls1aqVpqamalhYmB49elSfffZZY4/fuHHjdNeuXRoVFaUTJ07Ubdu26dixY3X79u36zjvvGMnUoUMHPXnypP7888/avn173b17t27dulWPHTumzzzzjJFMOY8DxowZo1u2bNFevXppYGCgTps2zdjjl91sza4NGzboL7/84vjeRKbIyEjH1/369dOYmBgdN26c7ty5U0ePHs3j99/at2+fo/H75ptvakREhI4ZM0ZDQ0N14sSJRjJZdSHeG5XJRW9r1Kihu3bt0rS0NJ07d26uJn7Ov4H8rI8++ki3b9+u06dP1x9//DHXJSam3st4enrq7Nmzc32Itn//fqMfolmxrLbYdHZZ8fn8ZpXXJdn5Ub///ruePn1alyxZom3btnUMqMinMr/hb1aRkZH62GOPaYMGDfT06dPauHFjFcl6875z504jmXI+IaalpeW6zeS1lXv37nVcH1+xYkVds2aNioi2aNFCQ0JCjGTKvrayUKFCeu7cOce1sa6urrmma+VnZWZmakRERK71T37//XcNDw831ji4fPmybty4URcsWKALFy7UhQsXakZGhi5cuFAXLFhgbH969NFHdcKECZqcnKz79u3T0aNHGzurJmeu7K9TU1NveJtVMpl6TrDi43ezyU+mJpskJiY6vs45Ic7kY5fzDUpERITjMStVqpTRN1TZE7QKFSqkFy9e1KJFi6qIaMGCBY1ORPT09NSKFSvqxYsXHWeXli9f3thaVlacqJedZenSpdq0aVNt0qSJNm3aVH/++Wdt0qSJsQmSVpxOY8XHz4rTSG/2nH3tNLv8qms/RMv5YZrJdZp27NihrVu3Vg8PDx0xYoTGxcU51iIyddwSGxvrmLLp4eGhmzdvdjQ2TWWy4odoIlln3U6cOFGXLFly3Vqgs2bNyvc8GRkZGhAQoO+++65jfbRz5845vja1naz4fH6zuvZ4PT+3k6lJzpa/sM3NzU3i4uJEJGuaT0REhIiIxMTESKFChYxkunDhggwYMECKFSsm58+fl6FDh0pgYKC0aNFCfv31VyOZRLKuWcxe2T0tLU0qVKggIiJbt26VGTNmGMmUPSEg+xrmnN+bmv7QtWtXGTJkiEyePFm2bNkiIlkrrDdv3txIHhGRRo0aib+/v0RFRckXX3whIiLNmjWTvn37GsukqnLw4EEZO3asjB07Vvz8/OS5556TnTt3SlpammPl/vx29epVx6S4woULS506dWTPnj1SuXLlXNN08lPOffnaqUsmJ8VZ7fH7448/pG7duhIdHZ3r535+fvLHH3/kex4RkW+//VY++OAD+fjjj+Xbb7+Vjh07yrp166RZs2bG1vxydnZ2rLVw9epVx9Ses2fPGr0e/cqVK3L16lW5dOmSHD582LEWxB9//GF0nYrsKRhpaWmSlJTk+Nr0RD1nZ2fLTNQTEalbt6688cYbMmbMGBk5cqTs379fLl26JN99952xTNnTaZydnS0zncaKj1/2NNKDBw86ppH+8ccfRidHBgcHy6ZNm2TJkiVy7NgxEREpV66c9OrVy3Fsld9Wrlwpy5Yty3M6VfYEVxOKFi0qISEhIiIydepU2bNnj2zZskVefPFFY5O0XF1dHfvzxYsXpV27dvLll19KYGCgsemDnp6e8vnnn4tI1tp2kydPFhGRzz//XF5++WUjmUREFi1aJMnJybJ69Wrp27evdOnSRZ5//nm5fPmyNGjQIN/zPProozJ16lRxd3eXDz74QC5duiS9e/eW8ePH53uWnKz4fD5s2LA8f+7k5OSYAprfck5ynj9/vnh6ekq3bt3E399fvL29pXz58vf2/q1cOT/d7NChQ67bTJ0x4u3trV988YXOnj1bPT09dejQoXrgwAHdtGmTVqtWzdi2WrBggc6fP1+ff/55DQgIcEyrKVSokCYkJBjJ5O/vr999953+8MMPOnnyZN2wYYO+8847GhISonPmzDG2rdzd3XXatGkaGBio5cqVM7o6f3Y5OTnpkCFDNDw8XP38/IxnutknPqY+HRYRbd68uSYmJmp8fLw2btxYV61apcnJyXrq1Clt3769kUwffPDBDaf4fP311zx+/y1fX1/dvXu3Hjx4UENCQjQkJETj4+N1165dWrt2bSOZXF1d9b333tPU1FRNTU3VzMxMzcjI0GXLlmm5cuWMZOratatGR0frSy+9pP7+/rpq1Srt1auXLlq0SKdMmWIkk4jo7t27HWdtZq+pI5I1vc7UpQF79+51ZMk5QdLZ2dnYMYIVJ2zmLC8vLw0MDNSZM2ca+8Qzu6w4ncaKj58Vp5GKZK15OWfOHN2wYYNu2LBB58yZo23btjWWJzo6Wh999NE8b7v2DP38rH379mmxYsWue0yTkpL0zJkzRjJt3Lgxz2OBDz/8UDMzM41tp5w5ct5m6sw2kevP/n3nnXd0586dWrJkSaNLfLRv31537typXbp0Mf6eQcSaz+eXLl3S8ePHXzdBcty4cXr+/HkjmQxPcja7k9yq2rVr5zjQzFmVKlXSkSNHGs9npXJ1ddVBgwbpzJkztV+/fo5rBgsWLGhsJLiIaIMGDRzrIFWqVElHjBihXbt2zfXGwVT5+vpaalSriGjZsmV15cqVxp/ETR5M/t0qVapUfl8ja/my8uPn6emptWvX1tq1a99w0T0TVaxYMS1ZsqTxHCJZTUN/f39ds2aNbtiwQWfPnq2tWrUymum+++7L8+elSpXSxx57zEimunXr5rlIYoUKFbRnz57GH8eclX2ZnOkc2fX000/rRx99ZDxHXlWoUCGtWLGi8RxWevycnZ21TZs2OmTIEB0+fLh269ZNPTw8jG8XK9Xjjz9+w4Z9nTp1jOXq0aOH4zg4Z5UrV06//PJLI5kKFizouGTw2nrwwQeNZLLih2giovHx8de9Z+ndu7fGxcXp0aNHjeUSse5i0znL5PN5RETEDT9YNNUMbtq0qbHHwvLj3K2oUKFC8vrrr4uqysyZM6V79+7SpUsXSUxMlPHjx1tqBLbVxrYWLVpUqlSpIikpKXLhwgXTcRysMMISt8/Pz09UVaKjo6V69erSpk0bSUhIMHZ6uUjWJYSqKqtWrZLmzZtLhw4dJDExUb744gtjp3JbUbFixaRNmza5RrWGhIQYu6zKqpmsrHTp0uLt7S2ZmZmSkpJiqdc8kaxR86bHzP/b9il3d3fLPI6DBg2SOXPmmI4hrq6u112eYKVjKl9fX4mJiTEdI09z586VgQMHmo6B21CnTh0pV66cZGZmSlJSkhw6dMh0JMuZNGmShIaGyrZt23L9vHXr1jJz5kx5+OGHDSWzFg8PD8u9xj388MNy9uzZPJ+3y5QpI+np6QZSmWPmwuC/wdnZWQYMGCDjx4+XRo0a5bptzJgxRjL95z//EU9PT3nooYdk8+bN4ufnJ5988ok4OTkZPVhp06aNpKSkyI4dO8THx0fi4uIkMjJSjh07Zmz9mqVLl0qpUqVERKRVq1YSFxcnkyZNkn379smzzz5rJJOLi4sMGDBAgoODZf/+/bJ//35ZuXKlDBw40Nj6GTVq1HB87erqKmPGjJH169fLRx99ZGwtq5sJCgoydt/jxo2Tzz77TObMmSMTJ06Uzz//XNzd3eXtt9+Wd955x0imWbNmSbdu3eTFF1+UpUuXyiuvvCJRUVHSpEkTmT59upFMe/bskTFjxkilSpWM3H9eXnzxRdm7d680a9ZMChcuLIULF5Ynn3xS9uzZIy+++CKZ/mvq1KnXvd5ZQfXq1SUsLEx27dolkZGRMm/ePDlw4IAsWrRIihUrZiTTxx9/7HiNqVOnjhw+fFgiIyPl6NGj0qRJEyOZrLhP3Up8fLyR+x02bFiuGj58uIwfP97xvQnNmjWTY8eOyYkTJyQkJMSxXqKISGhoqJFMvr6+19WGDRvEx8dHfH19jWQqUaJEnlWyZEl5+umnjWTKixUaGXXq1JHw8HBZunSpeHt7S2hoqFy4cEF++OEHqVWrlpFMTZo0kaioKPH395eFCxfKgAEDZMGCBfLNN9+It7e3kUzXaty4sQwbNkxatmxpNMfo0aOva/qIiISEhBhp+lStWlWCgoJk06ZNUqlSJVm0aJGcO3dOIiMjpVq1avmeJ9uZM2ckLCxM+vbtKx4eHsZy5JSUlHRd0+f+++8XETHW9Dl79qzMmzfP2HtzY6cb3U7NmzdPly1bpm+88YZGR0c71q0RMTduMOd1iidOnMh1m+lrUK02Zt6K02mWL1+us2fP1vr166uXl5d6eXlp/fr1dfbs2RoQEGAkU87HZ8qUKbpo0SJt0qSJTps2TRcvXmwkU15j7319fbV27dr6888/G8mUvU9ZbbJQ9n7u6uqqZ86cUTc3NxUxO3ElJSVFP/nkE01NTdXIyEgdOnSoli1b1tjjJpI1QSuvSxOKFy9+04lf/2uZ0tPTNSoqSo8ePaqTJk1SHx8fo49bdu3atcsxNcvPz0//85//qEjW2FZTp+HnfI0JDw/XunXrqoholSpVjK3HYsV9SuT6EcA5RwGfPXvWSCYrTqf54Ycf9JFHHlER0S5dumhSUpLjeMrUtCMrTiO9cuWKYz2P7Mr+/s8//zS2P128eFEvXryoGRkZmpGRoVeuXHH83EQmkawJxW3atNHnnntO09LStEuXLiqStWbh999/bySTFScBW3kceKtWrXT27Nm6fv16Xb9+vc6ePVtbt25tJMv27dv1mWee0eeee06PHj2q3bt3VxHRZ555Rrdu3WpsG8XGxur//d//6VdffaVnzpzRdevWaffu3W94SWF+VIkSJXJVyZIl9ciRI1q8eHEtUaKEkUyJiYn62muv6c6dO/Wnn37SGTNm5Hkp6D0qMw/E7VbON00uLi46d+5cXb16td53333GXoBzNn6uHbVtctSuFcfMx8XFOd6Y79ixI9c1stmj3vO7bnbgbeqgPOe+HBMTo66uro7vTTUOrly5otu2bbtuocvsA04Tma7dVtc+B5gcnZ79dXBwsCUy5Xw+ePzxx3XWrFl64sQJDQ8P1/79+xvJdOjQoesWuBTJWlvH1Dh3K2bK3p+qVKmiY8eO1bi4OE1ISNBx48ZplSpVjGQSuf71Lec+Fh8fbyRTfHy8YyTxrl27ct1manysFfcpEWsuclmuXDkNDAxUf39/x/o5pte3u3Y/f+SRRzQxMVE7dOhg7EO0zp0767fffqtt2rRx/CwlJcXodkpKSrrhejqm1s749NNPdfHixVqmTBnLbCeR3McI1y6obuq9TM5jS2dn51z7tqnjc6uOA58+fbpu3rxZu3fvro0bN9bGjRtr9+7ddfPmzTpjxgyj2yk5OTnXbSYXm8553wULFtSuXbvq6tWr9cyZM7ps2TIjmTIzM3M1p1NSUvTy5cuORrXp7VSuXDkdOXKk7tmzRw8fPnzP192z/Dj3nCMFMzMzZeDAgfLuu+9KeHi4sTFs0dHRjuvhc44XrFSpktF1Yqw4Zv6DDz6Qb775RmbNmiURERHy9ddfy4YNG+TJJ580th7LuXPn5Nlnn5XVq1c71l5xcnKSrl27yvnz541k8vDwkI4dO4qzs7MUKFAg17oCptaHSUhIkIEDB8qPP/543W3Z46VNuHz5shQqVEguXbokderUcfy8WLFixkZKnzx50vGc0LZtW8fPPT095fLly0Yy5bRz507ZuXOnDB48WFq2bCndu3eXefPm5XuOjz76SPbu3SuhoaGO8b/ly5eXli1byocffpjveayaKftvPjk5WSZMmCATJkyQGjVqSI8ePSQoKEiqVKliJNfhw4dl7NixEh4eLp07d5Z9+/aJiBgdKT179mwJCgoSf39/2bJli8yYMUPWrFkjzZs3d+TLb1bcp0RE9u7dK+vWrZO9e/ded1u/fv0MJBI5duyYdOvWTdq3by9hYWHGLo3N6a+//hJPT085deqUiGRdBvfUU0/Jpk2bpHLlykYyrVmzRkJCQuTDDz+Uvn37yogRI4yvHTdjxgwpUaKEYx/PKXsMd3574403pHbt2rJixQpZt26dfP7558a3k4jIH3/8IS1bthQPDw9RVenQoYOsX79emjRp4hipnt+io6Nl/vz5Eh4eLu3bt5dvv/1WRLLWMXVxcTGSyYrjwEVEnn76aalatep1P1+5cqUkJSXJ0KFD8zVPzsdn2rRpuW7L+b45vzk5OTm+/uOPP+Trr7+Wr7/+WooVKyYdO3Y0kmnkyJHSsmVLGTlypMTFxYmISEpKitFlEHJup2PHjsknn3win3zyiVStWlW6d+9+z+/fWGfwdmrp0qV5nkr38ssv6+XLl43ns1JZdcy81abTVKhQQQMCAjQ9PV0PHTqkSUlJeurUKQ0ICDC26vzChQtzVfanVZ6ensZO2+zSpYvjso5rq0OHDsYePytOFrpRFS5cWO+//34j971ixQrj//95VfHixbV79+46fPhwHT58uHbv3l2LFy9Ophxl6hPgW5WHh4dOmjRJN27cqBMmTNAiRYqoSNaZLPl4mvJ11bRpUw0ICNC9e/dqbGysBgUF6YABA3KdOfm/vk+JiD788MNaqlSpPG/LeYaEqbLKdJqnnnpKa9ased3PPTw89J133jG+nXx8fDQ8PFxPnTplPItVy8nJSQcPHqzfffedHj9+3HiemjVr6pYtWzQoKEirVq2qM2bM0PPnz2tcXJw2bNjQSCYrTgK24jhwkayzo7IvI85Zfn5+Rs5EGjBgwA2nn02fPt3YdhoxYoSx+75ZeXl5aWBgoE6dOlWLFCli/KzSnMvWGCjzD8i/rdzc3PTFF1/Up556SkWyxjTOnDlTX331VaMHmtTfr5IlS1pmfDN15zVo0CDjGa4tq45JtkKVKVPGsWaUFd5wWq3yOqCj/r1VtGhRrV27tvHGz7+lrPiabMVM2ZfRmyw/Pz/HG+Lq1avrsGHDtG3btsZzZdcDDzxgqTzUnZXJceAiWWte7t69Ww8ePKghISEaEhKi8fHxumvXrhuOCqesV+3atdNdu3Zdtz7v/1gZD3DH1aJFCyP3+9VXX2lAQIBu2LBBlyxZomvWrNEXXnhBFy1a5Fjs0kRd+0lez5499dNPP9V+/foZf6zyqnfffdfYfbu7u2uXLl106NChOnjwYG3dunWu9Yfyu6zaTOzatas+++yzKpK1COGnn36qgwYNMrqt8lqY9PTp047vTWT69NNPc9Vnn32m58+fd3zP45dVtWrV0l27dml8fLyGhoZqWFiYJiQk6K5du9TX19dIprNnz+q8efO0efPmxh6nvMrT01M9PT1VRLR06dLaqVMnx4KzpqpOnToaHh6uS5cuVW9vbw0NDdULFy7oDz/8YGwB6nr16uVa4P3999/XDRs2qL+/f57r7ORHLV261PF63KpVK01NTdWwsDA9evSo4+/RajV37lwj9/vxxx87tlWdOnX08OHDmpSUpEePHtUmTZpYJlNycrLRTFOnTtVGjRoZ309y1rhx43TXrl0aFRWlEydO1G3btunYsWN1+/btRs+MKlq0qFaqVOm6n9eoUcPo9srr9fiVV14x9nrs7u6uH3zwgR44cEAvXLig6enpumvXLu3du7fxfStnmVqAN6/y9PTU2rVra+3atR2vzybKis8HtypTrzHXVsGCBfXRRx81mqFQoUI6cuRIffPNN7VAgQLau3dvXb9+vU6aNOmef/Dn9N8v/pVSU1NzjdnML/v375datWqJi4uLHD9+XB588EHH2iLZt5mwZ88ex5onY8aMkSeeeEKWL18uzzzzjPz0008yfPhwI7luxNTj17VrV3nzzTclNjZWnnzySfn+++/F2dlZatSoIT179nRcA5qfvvrqK3F1dZXChQvLhQsXpEiRIrJmzRp56qmnxMnJSfr06ZPvmWbNmiVlypSR++67TzIyMqRAgQKyYcMG+b//+z85depUvl/TnC0jI0OCgoLk4MGDjutkhw4dKjNmzBARkfHjx+d7prS0NNm+fbuEhoY6Mk2ZMkXefPNNERFZsmRJvmey4uMXExMjAwcOlB9++CHXz+vXry9z584VHx+ffM+UmJgoM2fOlB49ekjFihVl1apVsmLFComMjMz3LNkGDBggb731ljg5OcmkSZOkT58+EhcXJ48//rhMnjxZFi5caCRXZGSkvPfee1K8eHGZPHmyDBs2TFavXi3NmzeXCRMmGBlBHxcXJ7Vq1ZLMzEyZO3eu/P7777Jq1Sp56qmnpFatWtKlS5d8zxQbGys1a9YUEZGIiAh5/vnnJTU1VUqVKiXbtm0zsp+LZI3fzouTk5Ps379fypUrl8+Jcm+r8PBwGTVqlERHR0uVKlVk+fLl4ufnRybJGjucmpoq999/v6xcuVJWrFhhbA2rbLGxseLj4yMFChSQkydPire3t/zyyy9SsGBBiYyMNHIs3LVrV5kxY4akp6eLm5ub9OnTR6Kjo0Uk9zFyfrPi6/G6detk7dq1snXrVunWrZu4u7tLQECAjB079v9v78vDqqra9u/DIJOMmqSAA4RDhQMKmpjijJamkFMomFOmkiIqKUmpZWQ5TykIqRHikIgIIoOhEiAIMsgkoCgmoiJSmqn0/P7gO/s7B46+vt/16zzL9z33dd3Xddj7j32z1trP2mt6bty4cQMBAQFq1xQQEICvvvoKANCtWzdERUVBV1cXMpkMkyZNavbtoG7o6Og0yzXUqlWrZnbh/zREjAeAmH0MAHTp0gVWVlbIyMjAgwcPpOsjR45EfHy82vVERkbi+vXrMDAwQJcuXVBUVITIyEiMHTsWr776Kry8vP7R57PPvj2Pctu8poyOjqY//viDRVN+fj7p6uqSmZkZ1dfXS7PRenp6bM4mgHJeiAsXLpChoSEBjed4ubLhy201m7K+vp6ePHnCoik3N1dyD2nVqhWdPHmSgMbVoNTUVDZNQKNzXXV1tXTWWvGeuimiRTkgpgtMy5YtaePGjRQeHi5ZpnNrErH+nudo1NSZQl3kdFd4Xt0ZGBiQhYUF/f7779LKopmZGWueAxGdaRT73KZuJho3S2WKaL8toiubiJpEdPoT0WEzJydHygvj5ORERUVFNG7cOJUa1UkR++Om7nXnz58noDE/UlFREYsmxRgeExMjudg5OTmxfZ8DIFdXV7p+/Trdvn2b4uPjqUOHDio1q4sixgNAzD7Gx8eHiouL6ejRo3TlyhUaO3Ysa90ByvGx6bGzfzoeCO/q9fbbb2Pq1KnNXKlkMhmcnZ1ZNO3ZswfFxcXQ1tZGQEAADh06hIqKCvTr1w8HDhxg0QQ0ZuLv2bMntLS0oK2tjYcPHwIAnj59yuYaUFdXBycnJ9TU1DS7x+UMJZPJ8OeffwIAHjx4gDZt2gAA8vPzYWJiwqJJS0sLurq6MDIygqGhIUxNTXHv3j3o6elBV1eXRZN8VePp06fIzMzEkydPADS663G5ZwFiusD88ccf8PX1haOjI8LDw3HixAk2lyM5RKy/uLg4xMTEYN++fZITjI2NDby8vNhc/rjdFVThyZMn+PPPP/Hnn3+ivLxccheqq6tjdagR0ZmmoKAA06dPxw8//IDc3Fz07t0bFy5cgL29vdTm1Q0R3SyBRieToUOHqnRh4uqPRXRlE1GTiE5/Ijpsamtro7q6GgCQmZmJwYMHIyYmBjY2NqyxU8T++MGDB3BxcUFqairGjBmD2tpaAI1tTbFf5EK7du2keJmZmQkDAwM2LevWrcPIkSNRWFgIDw8PJCQkYNq0acjIyGApKxHjASBmHzN79mz07t0bDx48QIcOHXD48GF07NgRW7ZsEaKdx8bGKv2tjjjFNjP4IoyNjSVXV1eV9zidH9q2bSut7JuampKHhwc5OTmxllVycrIS5aseFhYWlJmZyaJpzZo1zyyXoKAgFk1BQUF08uRJWrFiBZ05c4aWL19OQOM5Yq7V2EWLFlF5eTldvXqVfHx8KDExkXbv3k15eXkUGBjIoik2NlblWVNLS0vKyMhg0dSUorjANOW8efNo//79rBpErT83NzfauXMnRUdHU3R0NO3cuZM1+Sazu4JKZmVlSbm9rKyspOt6enrNVmnVyec503DlGzAxMaGwsDAqKyuj9PR0evz4MZWXl9Mvv/yi0plJXRTNzRJojEvPKpMFCxaw6XJ1dRXOlU00TSI6/YnosJmamtosv4+xsTElJibSo0eP2MpKxP7YwcGBMjIyqLa2ls6ePSu5uLZu3Zp8fHxYNN27d0861VFTUyPt6gYaT1tw1V/Tfvf111+n4uJieu+991h3/IhGEfuYpuM6IyMjiouLo/Xr17PtTAwODlYZD2xtbens2bP/9PP5G8rLytatW1PPnj3JwcFBaBcWLS0tpeCpIWjUqFHk5+enlCBcJpM980NGHRRxMlEVOS3Km9Lc3FyoxH8vA0WqPw1V08bGRjpqosh27dpJCeA1VKaxsTF1796dHB0dNU5xGv7HUeRvTEVyO2x2796dXnvttWbXdXR06IMPPmAvn6bU9MfKHDhwoBLl7b5NmzY0b948Nl2ZmZnNkjlbWVlRTk4O1dfXq13PyxIPRGBSUhL16NFD6Zq2tjbt3buXnj59yq5P3Xxpkju3adMGVlZWAIAbN26oPDqkLnTr1g1btmxBx44d0b59e+Tk5OCVV17BmTNnsHDhQtTX17NpU4SRkRE6d+6MiooK3L9/n1tOM3Tp0gUlJSXcMgAAY8aMwfHjx9meb2pqKmQdAUDv3r1hY2ODhoYGlJaWsteZjY0N1q1bh6FDh6Kurg4ymQwmJiZITk7Gp59+isrKSrVrunv3Ln7++WdEREQgOTlZ7c//d8H17slkMnh7e8PDw0OpTX3//fdISUlRux4AGDduHFJSUnDv3j20bt0a69evR69evVBYWAg/Pz/cuHGDRdfLBvlxK3VD5NipCitXrsSaNWvYnm9kZAQ3Nzel9+/UqVNsx2DMzc2xYMEC3LhxA6GhoVi+fDn69++PoqIirF27FnV1dSy6RowYgXHjxil9dx47dowlEagiROqPfX19lf6WyWRYvnw51q5dCwBsx7C1tbWlo6dGRkbo2rUrKioqcO/ePRY9clhaWgIAbt26hdatW+Ptt99GSUkJCgsLWXXJ4eLiAmdnZxQUFCAhIYFbjlAYOnQobt++jby8PKXrpqammD9/vtTm1QVdXV2lo8yurq5wdHREYWEh63FiQLw+xsrKCk+fPpWOzCuif//++PXXXxlUNX6Hv/fee0p9THR0NIqLi//xZ7PPPj2PPXv2lOx/ExIShLD/TUtLk7ZEOjk5SRbus2bNokOHDrGV1fbt26XfLi4uVFlZScnJyXTt2jXWoxTPYtPkoOri+PHjleju7k43b96U/ubQ9OTJE0pISKAZM2aQqakpe90AjSsvmZmZlJCQQLW1tXT8+HE6d+4cnT59mqytrdl0/frrrzRx4kSlBNhaWlo0adKkZok41cXi4mKaP38+nTt3jqqqqmjTpk3Ut29f9jp8FrnevdDQUPr888/JxcWFNm7cSKtWraJhw4ZRQkIC2zbgS5cuSb8PHDhAixYtIisrK/L29qZTp06xaPrwww+l31ZWVpSYmEj37t2j1NRU1sSNIrYpEWOniOUENNpJZ2RkUHBwMJWVldG+ffvoxx9/pNzcXDar6xMnTlBQUBDt2LGDTp8+TVu2bKEBAwbQqlWrKCoqikXTxo0b6cSJEzRp0iRycXEhFxcXmjRpEp04cYI2bdrEoknE/ri+vp4OHDhAK1eupMDAQAoMDKTa2lrpN4cmb29vunPnDpWUlJCbmxuVl5dTYmIiXbt2jSZPnsyiCQDNmTOHKioq6MqVKzR37lxKT0+nkJAQKi4uphkzZrBoUjxiNmvWLMrJyaHAwEA6d+4c+fv7s2iSyWQ0ffp0On78OF28eJEuXLhAERERNGjQILa6a0oRdppfvHiRzMzMCAAtWbKEUlNTKSAggE6dOkVr165l0yViH6OK3DsTly1bRjk5OeTv70+enp7k6elJ/v7+0rV/+Pn8FfA85uTkkLOzc7Prffv2Zct10PS5iuc7OV29FHUkJydLE2OdOnViy/GzefNmldyyZQvdv3+fRdPjx4/p+PHjFBoaKrG+vp5CQ0Npz549LJry8vLonXfeoR9//JHu3LlDUVFRNGnSJNLX12drT9nZ2dS6dWsCQB07dqSff/6ZANCwYcMoPj6eTdfznKGed++fpIjOUCK+e03dCuQTdS1atGCLncXFxdLvrKwspXtc578V21NkZCTNnj2bZDIZjRs3jhITE1k0yetPFfPy8tjyZ4gYO0V0s5TXn2iOlorvWFVV1TPvqZMlJSXPvMfVx4jYH4vosJmXl0etWrWijh070v3796V8P23atGF1IxXRqVExT8z58+el9mVoaMjmXifi4hDQ2NYjIiKopqaGSktL6fLly3Tr1i2KiIhQcvhSFxXzHWVmZkr9Hbfrroh9jK+vrxIXL15Mt2/flv7m0FRSUqIyX5yuru4/3sfw2s68AIyMjHD+/Plm1zMyMmBkZMSgCCgvL8dnn32G/v3747vvvpNcHnR0dNidfOQwMTFBTk4OAODKlStsuj788EMUFBTgwoULSszKysLjx49ZNPXv3x8GBgY4f/48ZsyYgRkzZuDOnTuYMWMGZs6cyaLpyZMnOHHiBKZOnQpra2uEh4dj4sSJqKqqQnh4OIsmbW1t3LlzB0BjNv4OHToAABITE6WtiRy4cOECtm/fDmdnZ7Rt2xZt27aFs7Mztm/fLrV5dUOVM1Tv3r0xevRo/PXXXyyaRHz3njx5AltbWwBAr169JB2PHz9m2wb8yy+/YNWqVdDX18cvv/yCcePGAWjcOi3CEaLOnTsjODgYRISoqChYWFiwabG0tISXlxfGjBnTjHfv3mXRJGLsrKurg729PUxNTZVoYmKCmzdvsmgCxHW0NDMzg42NDVq2bCn1MxYWFmjRogWLpkePHqFPnz7Nrjs5OeHRo0cMisTsj+UOm7/++isSEhLg4eHBokMRDQ0NuHv3Lq5evYo//vgDFRUVAMCaHgL4X6fG2tpaYZwa5e+ehYUFZDKZ1L4ePnwouZCpG71798aqVauQmpoKX19fjBgxAomJiXjnnXcwb948Fk0AEBkZiaNHj+LVV19F586dYW9vj7Zt2yIqKorFzbm+vh5vvPEGAODOnTvQ19cHwD8OFbGPWbVqFfr27YuWLVvC2NgYLVu2hLa2NoyNjWFsbMyi6e+//0a7du2aXW/btu0/7vInvJ27iPa/M2bMwIoVK7B8+XLk5uZi4cKFAABDQ0N4e3uzaAKArl27Ijc3FzKZDB07doSZmZmUA4XrAyozMxMFBQVIS0trdu+LL75QvyAAWVlZGD58OHx8fJCcnAx/f39Wm09AeeLg0aNHOHToEA4dOgQTExNpIKpuZGVlISQkBMnJyRg7dix++eUXAICBgQG0tbVZNAGAl5cXZs6ciVWrVkkfvFVVVTh+/Dj27NnDoun06dMqr5eUlGD16tVqVtMIEd+9pUuX4vTp0/jrr7+go6ODyZMnAwBat26NmJgYFk0LFixAQECAlCvD19cXDx48wPHjxzFt2jQWTdbW1ti8eTNkMhleeeUV6OjoSB/iurq6LJoAICYmBi1btkRubm6ze/L4oG6IGDv37duHDh06qBxs/vTTTwyKGhEbG4uTJ0/izJkzcHNzw6FDhwA05tnhsrX9+uuvpZwGM2bMQEhICIDGXIqrVq1i0fThhx9ix44dMDY2RlVVFYDG78779+9j+vTpLJpE7Y8BIDo6GomJifjiiy+k8uLCtWvXsHbtWhgbG6O4uBjfffcdfv75ZwwbNox10pWIpDj+zjvvSNf19PTYBuqmpqa4cOECZDIZiAivvvoqqqurYWRkxBYP5ItDFRUVwiwOAY3fKAcPHlS69vfffyMyMpIlZ9vcuXMRHh6O3Nxc1NTUICsrC2fOnIGDg4Pa8w0pQsQ+5o033sD69ethZGSEVatW4c8//4S3tzfbtzkALFq0CElJSbh8+bI0t9G+fXu89tprWLBgwT/67JciubObm5vKBEhxcXHMysRC+/btlf6+efMmnjx5glatWmHgwIE4evSo2jWZm5vj0aNH0gywaGjbti02bdqEPn36wM7Ojk2Hn58f1q9fz/Z8VdDR0cHs2bPx+uuvIzc3F6Ghofj777+hr6+PNm3a4Nq1a9wSNXgORH73WrVqxbZD5HkwMTGBjo4OamtrWXV4eXkp/R0dHY26ujpYWlrik08+QUBAAJMy8SBi7BQZo0aNkmJ6YmIigMbJM11dXbadgFpaWpDJZGhoaIC2tjZ69uyJGzduoLq6mkWPHJaWlkrfnaqSg6oLmv74xWBsbIz58+eDiLBt2za4ublh+vTpuHbtGtasWcPWpmxsbHDz5s1mO2natWuHbt26ISkpiUWXKhgYGMDS0hJXr15V+7MHDx6MH374QWlx6Pz582jdujWWLl0Kf39/tWsCgIiICNTW1mLv3r1KmxC8vb3RunVrTJo0Se2atLS0MGLECHTu3Bk6OjqoqqpCfHw8+05lEfsYABg7diyWLVuGjRs3Yt26daxjPqCxTJydnZX6mMzMzH98x89LMfEjGubPn48DBw7g7t27sLW1RVhYGLp3746SkhLMmjULBQUF3BKFhoWFBfvASoP/G0SvOy7HnKYTGZ6enpI7RnBwsNr1iAobGxvU1NRIx9+mT58uOVEEBwdLTizqhuhuKxq8nBDJgUlkmJiYwM3NTekDmHMA4+DggPz8fJZn/6cgNjYWo0eP5pYhNMzNzVmdxkR2RBRtcUhXVxczZ85UuQlhz549rBMacohWZiLC0NAQX3zxBfr27YtBgwZxy0Hr1q1hbW2NhoYGVFRU4MGDB2p5LktioxeliBneCwoKpN8xMTE0btw4AkCDBg2ic+fOsenq0qULxcbGUkxMDNna2lJYWBjdu3ePMjIyqGvXriyavv76a2rVqhUBoN69e1N5eTldvnyZrl69SgMHDmTRZGlpSTt27KBt27aRhYUFff7555Sbm0uRkZH06quvsmjS0tKiOXPm0OrVq6l///5K9wICAjR194LkcsxRTMYbEBBAJ0+eJC8vLzp48CBt2LCBTVNAQICU3FIE5ufnS4n/goKC6NChQ+Tp6Ul79uxhS6wuotvK87hy5Uq2Zzs4OFBaWhpdu3aNdu3aJbmKAMoOMerk/PnzpThlZ2dHKSkpdO/ePUpPT6c333yTRZOIDkyAmG5x06ZNo7KyMtqxYwcFBARQQEAA7dy5k8rKymjatGksmp4+fUqlpaW0evVq6tatG1t9KXLkyJHSbxMTEwoJCaHc3FwKDw+nNm3asGjq1auXSjo6OtJvv/3GoklVPKitrWWNBwCof//+VFhYSAUFBeTs7EynTp2isrIyunbtGvXr149F08vgiNixY0caP348denShV2LSHRzc6OKigo6e/Ys9ezZkwoKCqisrIyuX79OQ4YMYdN19+5dCg4OZtXwIrSwsGB9frdu3SghIYEuX75Mf/31F6Wnp1NFRQWFhYWRiYnJP/18/gp4HkXM8K7oAnP+/Hmle5zZ1FNSUujdd9+lyZMn09WrV2nSpEkEgN599102JxhFZ4Dk5GTq06cPASB7e3s2p7G4uDhasGAB+fv7U25uLi1btoysra1pwYIFbPaxwcHBFB4eTgsXLqSsrCxav369dE9xUuG/ve4AMR1zFN0xLly4QIaGhgSAdHR02NwxKioq6Ntvv6XKykrKyMigRYsWUdu2bdnqDVC2Ts/KyiKZTCb9zeXSKKLbyvPIaQd+9uxZGjlyJJmampKfnx8VFBRIE4uK74A6KeJCjIgOTICYbnHFxcUqB51mZmbPddf6p+vvjTfeoC+//JIuX75MFy9eJH9/fxb3HlV1FxwcTGvWrKH27dvTokWL6OjRoyyanj59SklJSZScnNyMDx8+ZNEkYjwAGifG33zzTerXrx/dvn2bXFxcCGicPOPSJaIjomJbHjt2LFVUVFBoaCgVFxeTt7c3m65OnTrRnj17aPXq1WRkZES7d++m/Px8OnjwIEtcyMnJoa5du1K/fv3ozp071LdvXwJAXbt2ZRszAI3xfP78+XTu3DmqqqqiTZs2Sdq4qGoRu7S0lHUROy0tjTp37kwAyMnJiX744QcCQLNmzaJDhw7908/nq4wXoYj2v19++SWFhYVRp06daPny5bRw4UJq3769tDOJq6wUP7wvX76sdI8rEBQWFpK2trZS3cnJNSBWLKemgyiugZ5iO9fW1qZdu3bRkSNHqEWLFmwDKhHrTl5nz1rhvHbtGoumoqIi6tmzJzk6OjabwBDBEnzAgAG0fft2unnzJiUnJ9Ps2bNZNJ08eZIGDx5MAOjw4cPUvn17AhpXX7gmfhTLqakGrndPxMlNVeXj6upKpaWl1LdvX7Y+RsSFGMXnamlpKZWN4sBU3VTU0TQucbX1kpISlSucJiYmbNbpTduyk5MTrV+/nq5fv85mSfy8uuPqY/Lz8+m1115TeY+rLxYxHgDK71fTsQtX7FR8rr6+Pk2YMIGOHDlCd+7cofDwcPZySk1NpY4dOxLQaA3O9Y0ANC6sz507l/z9/Sk/P5/8/PzI2tqaZsyYQUlJSax11/Rd41ywUtRlY2NDS5cupQsXLlB5eTl99dVXLJpEXMRu2pYVy+2fntsQ3tVLxAzvn332Gby9vREREQE7Ozvo6elhzpw5iIqKgqenJ4smAErODhs2bFC6x+XqtWPHDsTGxiIoKAgnT57Epk2b8PPPP2PIkCG4ePEiiyZFB4V9+/Y98546oVg/DQ0N+Oijj7By5UokJyejZcuWLJpErDtATMecmzdvSu9cbW2t5I5hYWHBZouqiHPnzuHcuXPw8fHB8OHDMWnSJJbcQ7NmzcK+ffvwxRdf4P79+7h48SIuXrwIMzMzLF68WO16AAjptlJXVwcnJyeVbZw7iauJiQnq6+sBNDp5eXh44MiRI2w284cPH0ZYWBhWr16No0ePYuHChTh69CiGDBnCVlaiOjCJ6Bb31VdfITs7G6dOnVJyNxk+fDhLvjYAzdxnMjMzkZmZCT8/PwwcOJBFU5s2beDr6wuZTNbMFpkrTn3xxRfPfLaPj4+a1TRCxHgAKNfR8uXLle5xfZ+L6IioOK7T0dGREkzfvXv3H096+zwYGxvj+++/BwDMmzdPMhQIDQ39x12YVKGurg5z5syBiYkJ7t27h0WLFuHgwYMYNmwY/vjjD7XrkUOxTV2/fh3ffvstvv32W3Tp0oUlATbQ2I60tbXR0NAAAwMDZGVlAQAuX74MPT09Fk3l5eX47LPPkJycDHd3d2lMpaOjo5Z4zjYz+CIcPHgwVVZWUmlpKVVUVJCzszMBoNatW9M333zDrk8kzpkzh4yMjJpdt7Ozo40bN7LpcnV1pQMHDlB2djbl5eVRbGwszZkzh3R0dFj0rFq16pnlpIYtdiq5f/9+pTP8cs6cOZMeP37MVneDBg1SqrsTJ07Q7Nmz2eruZaOWlpaU00bdjIiIYP//n8WuXbvS2LFjyd3dnZydnZWOfKmbNjY20s42RbZr146GDh3KomnNmjXk5OSk8l5QUBBbWU2ZMkXltm0bGxvavXs3m67p06dTeno63b59m+rr6+nSpUv01VdfqeOsvErq6OjQxx9/TFu3bqVZs2aRlpYWAY2r6vJdbhz08vJSojxHk6WlJdtqLNB4rGvSpEm0ePFiWrx4MU2aNEkpf5S6OWXKFLZnP4uBgYFKlB8ltLS0pL1797LrE4ne3t5CxQMANGbMGJXfAra2trR06VIWTX5+fux11ZRPnz6Vdrf+9ddfUt5NXV1d1h1bWVlZZG9vT3369KHbt29T7969CWgcN3Dosra2pu+//5527NhBlpaWtGjRIsrPz6eYmBi2nK4AlNJUiMIFCxZQfHw8DR48mD7//HPatGkTDRw4kL744gvat28fiyZTU1P65ptv6Pjx4/Tll19Sy5YtCWjc6fpPH417aVy9RMtW7uTkBCJCVlYWunXrBjc3NxQXF2ss5jXQQA0QzQVGVE0a/N8wZswYHD9+nFuGBhpoIAhE+wYVBZ06dYK7u7uSe91PP/2E33//nVua8HjllVdw+/ZtbhkvBUxNTdGtWzekp6ezPH/IkCHYsWMH/v77b8yePRu+vr7o0aMHTExMMHv2bERHR7Po0uDF4Orqirlz56Jz587Q0dFBVVUVoqKiEBoaKsSufHWCZ3/ovwkjIyO4urpi0aJF8PHxwciRI5ttxVUnAgMDsWXLFuzcuRNr167Ftm3bYGRkhE8//RQrVqxg09WqVSulvz09PbF582bMnj2bSVEjJkyYgPfffx9AY/DcvHkzPv74Y7Y6NDc3x8qVKzFz5kwAwIoVK3D8+HGsW7cOZmZmLJqAxq2ktra2za47ODgwqGncqi2fxBAJ06ZNQ3Z2NlxdXWFoaAhDQ0MMHjwYFy5cwLRp0zSaFCDau/c85OXlsTx3/PjxSnR3d8fu3bulv7nw9ttvo3PnzgCA/v37w8/Pj90eWSaTYfr06YiJicHFixdx4cIFREREsNqi6urqYtq0aRgyZAgAYMqUKdi6dSvmzZsHHR2e0+wjR46UfpuYmCAkJAS5ubkIDw9HmzZtWDQ9CyJbzHPFhJEjR6KiogJnz55Fz549UVBQgIyMDFy/fl1qZ+qGs7MzjI2NAQD6+vr44osvEB0djaCgoGZHv9QFHx8f7Nq1C/r6+nBycoKenh5sbGyQnp4uhFVyUwwbNozt2ebm5kq0sLDA+fPnYWZmBnNzcxZNR44cgaenJ4yMjFie/+/g/v37bJM+AJCcnIyuXbvi9ddfR2pqKt5//33069cPbdu2ZZn0edZ4b9asWWrXoohOnTphz549WLNmDYyMjLB7927k5+fj4MGD6NChA5uuX375BZMnT4ajoyO6d++O0aNHY/fu3WyTPlpaWpgzZw5Wr16Nt956S+leQEDAP/ps4Xf8TJgwAUuWLEFeXh4GDx6MX3/9FVpaWnBwcMDUqVORn5+vdk15eXno2bMn9PT0UF1dDWtra/z+++/Q19dHRkYGevTooXZNAHDhwgX07t0bQGPDefvtt/HTTz/h3XffRVVVFUsOje3bt6NNmzZo0aIF6uvroaenh+joaLzzzju4desWFi1apHZNJ06cQH5+PkxMTNCtWzcpKA0fPhw9evRgOds8YcIEbNq0CTU1NdDV1cX06dOlc6iK9apO1NXV4cGDBygvL0dERAQOHTqEO3fuqF1HUxQXF6Nv377NdtKYmZkhIyMDXbp00WiCmO/esyZSZDIZvv/+e5ZB8ePHjxEfH4+amhppQuz999/H4cOHQUTSBLE6sXHjRjg7O0NHRwfx8fEYOnQo4uLiMGjQIOTk5GDZsmVq1wQ05jOorKxEYmIi3n//fdTX1+Ps2bPw9/fHsWPHsG3bNrVr+vHHH6GjowNDQ0PU1dWhZcuW+PnnnzF06FBpokrdUIzZwcHBqK6uRnBwMNzd3TFo0CC2CcX6+noQkdLEr6GhIR4+fAgigqmpqdo1iRgTcnJyMGXKFJiZmSEmJgbvvPMOMjIy0LVrV4SHh7P0xwUFBejRowcaGhqwa9cuPHz4EIcPH8bQoUPRo0cPeHh4qF2T/Fv477//hoGBAWJjYzF48GDY2Njg2LFjcHR0VLum56GyspJt8NnQ0IDKykqla9bW1qiqqgIRwc7OTu2aqqqqkJaWhiFDhiAxMRERERE4ceIEnjx5onYtL4K8vDx0796d5dljxoxBfHy8lGeWGyKO9wAgJSUFERERMDU1xdSpUxEWFoaDBw9ixIgR8PT0xNChQ1l0jRgxAuPGjVPakX/s2DHEx8ez6AkODoahoSHOnz+PadOmISUlBX5+fgDUM+ZjP3/3PObm5krnYlu1akUnT54kAOTg4MDmrqCYdb6pEwZnNnURLaXlz9XR0aE7d+6Qrq4uAY3OVVzndRXrqKqqSoj6y8nJkc4yOzk5UVFRkWRDyuW2kp2dTTKZjIYPH04hISFUU1NDcXFx5OXlJZ1H5aCILjAiahLx3Xv8+DGFhYVRaGhoM9bX17No6tOnDyUmJtLcuXOlaxUVFSxa5JQ7PxkYGFBtba3UB+ro6FB+fj6bLhFdNuWatLW1qbq6Wsqno0qvuiiiAxMA2rx5M+3du1fJFZG7rYsYE0R0zFF8v5q6QHFpysvLoxYtWhDQmKdJ0SGHK04dO3ZMJaOjo+mPP/5g0QSAFi9eTHFxcfTmm29K17jfPfm3pbGxMU2dOpVOnDhBNTU1FBoaSsOHD2fRNH78eJV0d3enmpoatrJ6+PAh3b59m/bt20ejRo1S6mc46w4QZ7zXVFdT12SusczGjRvpxIkTNGnSJHJxcSEXFxeaNGkSnThxgjZt2sSiidPJWXhXL5lMhj///BMA8ODBA2n1R75jgwOPHz+GgYEB/vzzT6VZORMTE9as8wYGBujZsye0tLSgra2Nhw8fAgCePn2KhoYGFk3ybXRPnz5FZmamtJLQ0NDAVlZaWlowMzODsbExWrZsiQ4dOqCyshIWFhZs7gra2tqorq4G0OggMnjwYMTExMDGxobNvY6IQERISEhAQkICdHR0MGrUKEyZMgXfffcd25EFEV1gRNQk4ruXl5eH7777DpcuXWp2j2sbflZWFoYPHw4fHx8kJyfD39+f7Z2TQ/58eT0p/s3l4AOI6bKppaUFXV1dGBkZwdDQEKamprh37x709PTYnKpEdGACgIULF8LR0RERERGIiorCtm3b2Nu6iDFBRMecgoICTJ8+HT/88ANyc3PRu3dvXLhwAfb29mw7NEJCQpCZmYmMjAy8/fbb+OabbwAArVu3Rm1tLYumt99+G1OnTm1WTzKZDM7OziyagEan3cjISGzcuBHXr1/H559/zv7uyZ//+++/48cff8SPP/4ICwsLTJgwAZ9++ikSEhLUrikyMhLh4eEqy0ZfX1/teuQoLi7GkCFD8P7778PPzw9hYWE4evQoIiIicObMGbXrEXG8BzR+o9jb28PU1BSGhoZSnLKzs2NztBw9erTKXfeRkZEoLS1l2f3O7eTMNjP4IgwKCqKTJ0/SihUr6MyZM7R8+XICQObm5tKqqLopX+FoylatWinN5qubycnJSpTvILGwsFBaiVEnY2NjVTpoWVpaUkZGBoumyZMnU3V1NVVXV5O7uzslJCRQQkICVVVV0ezZs1k0paamkq2trdK1li1bUmJiIj169IhF0/NmnbmcquQUzQVGRE0ivnsDBgwgGxsblffkLhmcbNu2LUVGRlJ5eTmrjqCgIDpz5gydP3+e1q1bR9HR0bRixQqKj4+nnTt3sukS0WVz0aJFVF5eTlevXiUfHx9KTEyk3bt3U15eHgUGBrJoEt2BSSaTkY+PD505c4Zu3LjBqkXEmCB3zNm5c6cwjjkmJiYUFhZGZWVllJ6eTo8fP6by8nL65ZdfqHv37mz19/rrr5OHhwd16dKFtR3JGRsbS66urirvpaSksOsDGh2+0tLS6ObNm6w6RCkPRWZlZdEbb7yh8l7T3XfqZNNddpaWluTj40O//voriy4Rx3sAaMiQIVRcXEyFhYXk4uJChw8fpsuXL9OtW7do7NixLJpyc3OpT58+za47OTmx7Y5idnLmaRz/DkeNGkV+fn40bNgw6ZpMJnvmBAwHP/74Y3YNzyKnpfSzaGhoSK+88gprmcgtnLW1tal3795S4ORg9+7dyc7Ortl1HR0d+uCDD1g02dvbs7eTF6W5uTm7hpdBE8D/7r0MVDwKw8V+/fpJtp62trbk5+dHEyZMIJlMxq6tVatW7BoU2bZtW2rbti0BjTapHh4e5OTkxK5LdL766qs0atQodh0avjiNjY2pe/fu5OjoKEScakpR+z3RqK+v/8wJjv9mijgRDDx/IbR9+/bs5SaniOO9Vq1asR6N69WrF6Wnp9OlS5coPj6e4uPjqbCwkNLS0sjR0ZG9fBjILuCFaWZmRsbGxuw6fH19lbh48WK6ffu29De3PlUUZTUGAH311Vesz5fnOpHT1dWVFi9eTG5ubuxlo+G/Zv/+/amwsJAKCgrI2dmZTp06RWVlZXTt2jXq16+fRpMCTUxMaOLEiVJsmjhxIpmamrLW34gRI2jGjBnUoUMHpesffvghix5zc/NmvHLlCpmZmWkGMSro5OQkrZ5169aNfH19hZs84F6IcXZ2lr5V9PX16YsvvqDo6GgKCgpSmQuMix07dqTx48ezfh8YGBjQ0qVLacmSJaSnp0fe3t507Ngx+uabb1TuWFQHO3XqRHv27KE1a9aQkZER7d69m/Lz8+ngwYPN4hYnueNTQECA9Ltbt25UUlJCFRUVdOXKFWk3oAgcM2YMu4amdHFxIV9fX7ZcOs+iCDsSReSgQYPYNTyPRkZG1KtXL/bvOxsbG9LT05P+nj59Om3ZsoU++ugjabGdi5aWluTo6EiOjo5kaWnJqmXMmDFK5aRm8v3jL8K2bdvS3r17qa6ujp4+fUqVlZVUWVlJn3/+Oeno6LBoqq+vpwMHDtDKlSulrdy1tbXSb+4yU8WmSbbUxc2bNytxy5YtdO/ePelvDk0XL16UjuAsWbKEUlNTKSAggE6dOkVr165lr6um5NqK+Oabb1JaWhpdu3aNdu3apXRsieuokPzZb775JvXr149u375NLi4uBDTO6p87d06j6X84bdo0Kisrox07dlBAQAAFBATQzp07qaysjKZNm8ai6auvvqKUlBTauHEjlZWV0YIFC6R7TbdSq4sNDQ1UUVGhxMePH1NFRQX7kS9V5EzcGBgYSGlpaZSZmUlr166lpKQk+uyzzyglJYVWrFjBoknEhZiCggLpI3fXrl20ceNGcnFxocDAQDpy5Ahb/R09elT6PXbsWKqoqKDQ0FAqLi4mb29vFk2RkZH03Xff0fbt2ykxMZG2bt1KAwYMoHXr1tG+fftYNKWkpNDcuXPJ39+f8vPzafHixWRtbU0zZsygpKQkFk0iTrIoxuyYmBhp8czJyYnNfEVVUuCbN29Kf3NoApS/mWbNmkU5OTkUGBhI586dI39/fxZNqhJg//7779LfXGUl2uLQs8g58bp9+3bpt4uLC1VWVlJycjJdu3aNdSEmPz9f2nEUFBREhw4dIk9PT9qzZw/t2bOHTZelpaU02dO6dWsaP348devWjU0Pc7Jwnn/6RZmUlCTNtI4fP542bNhAhoaGtGbNGtq1axeLJhsbGzp48CAFBQVJDVyEAULTSRbFyZb79++zaLp27Rrt37+fpk2bRl5eXuTl5UU1NTXSbw5Nim4TmZmZpK+vTwCv25GITgZnz56lkSNHkqmpKfn5+VFBQYGUh4grO3/TZzd1EuKaPBBRU3FxscrVHzMzMyopKWHRlJeXJw2ITU1N6cSJE7Rhw4ZmZahOiui2ImI8kNeffCv5/fv3lXa1cMVOERdiRHRgApTfsdTUVOrYsSMBjVvxL168yKJJsTya5jzhalMiOtOIOMmiqKlpuXCV0+PHj+n48eO0Z88eJXe40NBQ1oGnYnmcP39eyvtlaGjINpl/4cIF2r9/Pw0aNIgGDhxIgwYNot9++40GDhxIAwcOZNEk4uIQAHrrrbeE2tWtWBbJycnUq1cvAhp3K3Lm+Ll06ZL0OysrS+loOlcfM2fOHGmSfO7cuZSenk4hISFUXFxMM2bMYNGUnZ1NZmZmNGvWLEpMTKTq6mrauXOnut47nsbxomzaULKysqTfRUVFrNrGjh1L586dIw8PDyEmfurr62n27NnSpIoib9++zaKpZcuWtHHjRgoPD5dyMHCXVWpqqnS2Oi4uTtrJoqenx2ZBKqKlbdN3z9XVlUpLS6lv376sHbCirvfee0/pHlf9iahJRIv5ppNiWlpaFBISQgcPHmRL1g+ArKys6ODBg7R+/Xpq2bIle4wSMR4AyoOXpgM7rgkNERdiDh48SNOnTycAFBoaKuWmsLe3p/Pnz7PpUozbTXdtcg3UFdtN04E510AhKyuL7O3tqU+fPnT79m2p/uzs7Ngmo0ScZLl37560U6SmpkYptwhXv9enTx9KTEykuXPnSte4J/KB/91prir5Llf9yWQyWrRoEZ06dYp69OhBAH/sFHFxCBBvV7diPFAcFze9p26ePHmSBg8eTADo8OHDUv4jCwsLtniel5dHBgYGZGFhQb///ru088fMzIztu4U5WThP43hRJiQkkKenJ7Vr144WLFhAhw8flu5xrVor0tDQkNatWydEdvykpCR66623VN7j7vgcHR0pOTmZ/Pz86MqVK6xaHBwc6OLFi7R3717au3cvlZWVUWhoKGVmZtKUKVNYNInoZHDx4sVmEwcODg5UWlpKd+7cYau/MWPGqExeZ2trS0uXLtVo+h96eXlJR72WL19Oy5cvl456cR3rOH78uMoVjTVr1lBDQwOLpqb1KILbiojxAAClp6dL7VxxJc/ExIT1YxMQayFGVAemp0+f0v3796m+vp7++usvydBAV1eXbUIjODhYZS4fW1tbOnv2LIsmEZ1pRJxkke8MkVNej23atKF58+axaAIaY9Mnn3xCycnJ5OTkxB4PANCVK1eovLxcOkIsf/eMjIxYdwEC/7vwsXXrVra0EHKKujgk2q7uBw8eUG5uLuXl5VF9fb20gC2TydjiAdDoiJicnEwpKSkUHR1NtbW1lJycTNnZ2TRkyBAWTYr103TyiWsykTlZOE/jeFHa2NhQZGQk5efn0/79+5Us69zd3dn1iURzc3Phsrk35bx582j//v3sOrS0tMjNzY0++eQTWrx4MXvSWxGdDKZMmSK5CinSxsaGdu/ezV6HGv5rimYxr6+vLx2tbMp27dqxl5dcI7fbiojxAMAznTRbtWqldFSOiyItxADiOzDJaWpqypqE/mUgtzONqJMsIrNdu3YUGRkpxMTPs2hgYCAdueTm6NGj2c1XRF0cEm1Xd/v27ZUoN61p1aoVay4rObt27Upjx44ld3d3cnZ2ZnUjzcrKknICW1lZSdf19PTYdiExJwvnbRwvI42NjWnt2rW0b9++ZjtEFBNuiUDRbHdFpfx8rIbPpwg24JaWlrRjxw7atm0bWVhY0Oeff055eXkUGRkpTQyrmw4ODtJvHR0dCggIoGPHjtFXX30l/GQsB3v37k3jxo2jMWPGsDsOmpub08qVK2nmzJkEgJYvX07Hjx+ndevWsU6SvQy0s7Mjd3d31iSJTeuS2+kIALuzyovS2NiYHB0dWds5s7vJv81hw4axa5BThP74WeTKwSkyZTKZNADW1dWlXr16scYrEeOUqItDIu7qbkrNeE81bWxsVJpBtWvXjoYOHcquT041xgL+f/b/ypUrV7I89/Dhw/T111/Te++9R8eOHaPDhw9LK6Gc293d3NyooqKCzp49Sz179qSCggIqKyuj69evs22xu3v3LgUHB7M9XxV79erVjNevX6eePXuyTQA1Ddienp60efNmmj17Nls5NbW4trCwEMLmOi4ujhYsWED+/v6Um5tLy5YtI2tra1qwYAFFRUWxaFJ877/77jsKCwujgQMH0oYNG9jsURUdMNq1a0eJiYlUW1tLqampZG9vz6Jp4MCBlJmZSQkJCVRbW0vHjx+nc+fO0enTp8na2ppF04kTJygoKIh27NhBp0+fpi1bttCAAQNo1apVbO1JxHgANCaRlGubOnUqlZSUUHBwMOXl5Skl4VQnbWxsKCIigmpqaqi0tFQ6khMREcFmvf3kyRNKSEigGTNmCDW42r9/v1R/I0aMoMrKSkpISKCrV6/S+++/z6KJ2d3k3ybXUZim/bG5uTl7f6xKk/xb4fr16yyatLS0aM6cObR69Wrq37+/0j1FZzR187333qPq6mr67bffaOzYsZSenk6JiYl0/fp1evfdd1k0iRqnALEWh0SkiOM9QMwxn5xt2rSRxnzcO3CZk4XzV8b/lVwdcNPzuCtWrKBz586RhYUF68RPTk4Ode3alfr160d37tyRjul07dqV1Vlo/vz5dO7cOaqqqqJNmzapPD6kTjY0NFBqaiolJydLfPjwISUnJ7NZtSrWT0BAAJ08eZK8vLzo4MGDUmI7jnIS0eb6eY4rXGflFTXl5OQorS6IkAw0MjKSZs+eTTKZjMaNG0eJiYls5SR3M+nYsSP9/PPPBDSuosfHx7NoUmwzVVVVz7zHVXeixANAeUv7+fPnycLCgoDG4wpc7fzXX3+liRMnKk0YaGlp0aRJkygtLY1FU15eHr3zzjv0448/0p07dygqKoomTZr0zJVsdeqS/05NTZUmxjhdvZjdTVSyqc21ot31H3/8waJJxP746dOnUt4aOeV///XXXyyagoODKTw8nBYuXEhZWVm0fv166R7n93l2djZZWlpSx44d6f79+9S5c2cCGo/scLkwiRinRFwcAhonopKTk2n//v1kbW1Np06dorq6Ojp//ryUGFudFHG8B4g55uvRowelpaVRYWEhJSQkUEJCAhUVFVFaWhr17NmTRRNzsnC+yngR3r9/XyXr6+vpyZMnLJoKCwubnVf09vamgoICunr1KltZKb7sTROAijCAsbGxoaVLl9KFCxeovLyc7Syxu7s7/fLLL5IdKsCf/Fpx4uDChQtkaGhIQOOxIS6rTxFtrgHls9Zr1qxRusc1+CwvL6dx48aRu7t7s8R/XAMqxXev6fvPldBOsX60tLSUNHIlbszNzSUzMzOysbGhuro6aTBsYWGhZE2qTooYD+S65Nvtk5OTpSM6WlpabPX3PIc6Lvc6xXatr69PEyZMoCNHjtCdO3coPDycrf4KCgrI2NiYANDZs2eVvmO46o/Z3UQla2trafTo0c3y6gwaNIiqq6tZNInYH5eWlj4zFxlX3Sn2Mdra2rRr1y46cuQItWjRgtUVSvHZTXPCcA3URYxTIi4OAY0DdTc3N5o8eTJdu3aNPDw8CGhMBP/rr7+y1p0o472mukQZ8+Xk5JCzs3Oz63379mVd8JD/ZkgWztM4XpSVlZXP3JLF1bF88803Ks8Fjhw5ku1DE2h09ZozZw4tWbKEcnNzadGiRdSuXTvy8vJic8d4VkfbpUsXCgwMZCsrIyMj2rBhAx08eJBsbGzYk/8VFRVRz549ydHRsVkg4gziotlcA6BVq1apdIGxs7OjQ4cOsWhqarktj1mWlpZsu2tu3bpFmzdvpi1btlBVVZXSLiQu14c9e/ZQSEgIffDBB3TgwAFpNdbAwICKiopYNE2ePJmqq6upurqa3N3dKSEhgU6dOkVVVVVsR6tEjQeDBg2igoICWrVqFW3dupVSU1MpMDCQTp06RX5+fiyaIiIiaPv27eTs7Ext27altm3bkrOzM23fvp0iIyNZND2r3zMxMSEvLy+2+pswYQJlZWXRhx9+SEFBQXT48GHy8vKisLAw+u6774QqK0At7iYqGRsbS66urirvcSYOF60/njdv3jNd6riOfqrqR1auXEnnzp1j/T7Pzs6WJlqdnJyk61paWmz9sYhxSsTFoaZl1XSnOceEoojjveeVBeeY73nv/eXLl1k0MScL52kcL8o1a9YoBUlFBgUFsesTidbW1vT999/Tjh07yNLSkhYtWkT5+fkUExNDXbt2ZdGkuM1WRPbs2ZOSk5OppqaGVYfisbPk5GQl9zqubcCKFMXmWsMXp5eXlxLlCVwtLS3ZVl50dHTo448/pq1bt9KsWbOk4zn6+vpsgzyg8QNTW1ubgMZV4t69e7MlCgfEjgcmJiY0d+5c2rBhA23ZsoWWLVvGmoNBV1eX5s6dS3FxcZSXl0d5eXkUGxtLH3/88TNdyP5pck2CvQjt7OwoKCiIfv75Z4qOjqYdO3bQiBEj2PQwu5u8lNT0x8/m/v37aeTIkc2uz5w5kx4/fsymq0+fPiqTmHfo0IE8PT1ZNIkYp0RcHAIajxQPHz6c3n//fbp69ao0WJcfTVO3HhHHe4CYY77NmzdTTEwMTZw4kd566y166623aOLEiRQTE0Nbt25l0cScLJy/Uv6TOH36dHYNGv77lG9/F40ymUwYVygRbK6B5i5MK1asYHdhsrGxUfqomz59Om3ZsoXmzp0rTShoKC4tLS3J0tKSAFDr1q1p/Pjx9Prrr7PrakotLS1h4oGGGv4TFMFpTBXHjBnDrkGRovTHTk5O1KdPHwJA3bp1I19fXxo1ahS7Lg1fToq6ONS9e3c6efIkxcbGUpcuXWjTpk107949KigooLfeeou93DR8Pt3c3Gjnzp0UHR1N0dHRtHPnzv/mOMUu4F/y7bfflhKh9e/fn/z8/Gj06NHsulSRK+G0nCNGjKAZM2Y0czNRdPhRJzt16kR79uyhNWvWkJGREe3evZvy8/Pp4MGDbI4rBgYGtHTpUlqyZAnp6emRl5cXHTt2jL755huVR4jUQV1dXaW/XV1dafHixUp5iLjqz8/PjzZt2kTr16+njz76iH2STEQXpvz8fGlAHhQURIcOHSJPT0/as2cP7dmzh0VT03bu7e3N3s67dOlCsbGxFBMTQ7a2thQWFkb37t2jjIwMtlWqOXPmUEVFBV25coXmzp1L6enpFBISQsXFxTRjxgwWTUDjzpqJEyeSr68v+fr60sSJE9mdV+bPny+5Qtna2lJKSgrV1tZSenq6Uu4RUcjl/HnkyBHy9PRke8/+HZaUlLA+X0SnsfHjxyvR3d2dbt68Kf3Noanpgsfy5cvZFzwCAwMpLS2NMjMzae3atZSUlESfffYZpaSk0IoVK1g06erq0rRp06R0DFOmTKGtW7fSvHnzVFo6i8DY2FiW55qYmNDXX39NRUVFdPfuXbpz5w4VFhbS119/zd7XaPh8rl+/vplrnQgUccyniq+88grr8znfPdn//BAWGzduhLOzM3R0dBAfH4+hQ4ciLi4OgwYNQk5ODpYtW6Z2Tbm5uSqvy2QydO7cGfr6+mpW1IivvvoKAwYMQHZ2NsaMGYNNmzZh27ZtAIALFy6gd+/eateUkpKCiIgImJqaYurUqQgLC8PBgwcxYsQIeHp6YujQoWrXFBkZievXr8PAwABdunRBUVERIiMjMXbsWLz66qvw8vJSu6aLFy/C1dUVdXV1WLJkCcaPH4/Y2FgMGjQIFy5cwPLly9WuycfHB++++y7OnDmD0aNHIycnB3V1dRg/fjzmzZuHlJQUtWsCgJycHPTq1QsAUFVVBWtra5X31IlLly7hjTfeAABkZWXByckJRI2h9eLFi+jZs6faNYnYzlNSUvDtt9+iZcuWCAoKgr+/PyIjI/Huu+9i0aJFGDZsmNo15eXloW/fvjAwMEBlZSVee+013Lp1C2ZmZjh9+jRLe5o2bRo+//xznDp1Cjdu3AAAWFtbY/jw4Vi1ahX279+vdk0AUFBQgDfffBMAEBMTg5CQEERFRWHQoEFS/yMSKisr0aFDB7U/t6qqCmlpaRgyZAgSExMRERGBEydO4MmTJ2rXooj6+noQEWQymXTN0NAQDx8+BBHB1NRU7Zry8vLQvXt3AEBqaio++OADVFZWolWrVkhKSmKJnY8fP0Z8fDxqamqksnr//fdx+PBhEBFmzpypdk0nTpxAfn4+TExM0K1bN+Tn5+PgwYMYPnw4evTogXHjxqldU15eHnr27Ak9PT1UV1fD2toav//+O/T19ZGRkYEePXqoXdOPP/4IHR0dGBoaoq6uDi1btsTPP/+MoUOHQiaTYfr06WrXBOCZ/YhMJkNMTAzatWunZkXAyZMnkZycjL179+LWrVsAAEtLS3h7e2Po0KEYOXKk2jV16dIFGzduxN9//41PPvkEK1euxLhx41BaWgpvb28UFxerXZMcI0aMwLhx42BlZQUAuHHjBqKionDq1Cm1a6mpqUFlZSVeeeUVREZGIiIiAhcvXlS7jqYQccxnbm7e7Fp2djZ69eoFmUyGe/fuqV0T97vHPvP2PMqTeRkYGFBtba20qq6jo8OWEK26upp69OhB7du3V2KHDh3oxo0bbGWVl5cnHSsxNTWlEydOSNa/XG4GoiVEA5STozY9I8/lCqXYljMzMyU7TW1tbTZNeXl50jZbAwMDOn36NAGNx5o43TFEdGE6efIkDR48mADQ4cOHpS3JFhYWbK4BIrZzxXbTNKmeCM4mTeuKq50XFxerXPUxMzNj3aFRXFws/T5//rzSPa42JaLzp7zdGBsb09SpU+nEiRNUU1NDoaGhNHz4cLb627x5M+3du1fJMIPbGUpEp7E+ffpQYmIizZ07V5hyUoznVVVVz7ynTirGx6axkkuTPA5pa2tTdXW19A2jeI+DT58+paSkpGb525KTk+nhw4csmhTj+b9z759kSkoKvfvuuzR58mS6evUqTZo0iQDQu+++y2aUAYA2btxIJ06coEmTJpGLiwu5uLjQpEmT6MSJE7Rp0ya165G/b/b29vTZZ59RQUEBFRUVUWBgINnb27OVk4hjvoaGBqqoqFDi48ePqaKigi1BPvO7x9M4XpTyAbGenh7V1tZKA2ItLS22QV5ISAi5uLiovMdp1drUEk5LS4tCQkLo4MGDbB9QWVlZZG9vT3369KHbt29T7969CWhMMMnVCSt+kDQ9hsM1SE9NTZXO68fFxUlbt/X09NgmOPPy8qTkqGZmZkoJ7Lg0AWK6MFlbW1NycjKlpKRQdHQ01dbWUnJyMmVnZ9OQIUNYNInYzhXf+Y8//ljpHlebysrKko4AWFlZSdf19PTYyqmkpIRMTEyaXTcxMWF1pvnyyy8pLCyMOnXqRMuXL6eFCxdS+/btafr06XT8+HEWTSI6f6qaxLSwsKCPPvqIkpKS2OoPADk6OlJSUhL5+PiQTCZjd4YS0WkMaMyv98knn1BycjI5OTmxl5OICx7p6enSYqzihJ2JiQnbRH5+fj7p6uqSmZkZ1dfXk7m5OQGN8bzpN7K6db322msq73HFqfj4eFq6dKlS/GzTpg0tW7aMEhISWDSJuDgEPP9ILEefrKosHBwcaO3atWxOVYCYY77FixdTXFyc0nF07ol85neP7x9/EQYFBdGZM2fo/PnztG7dOoqOjqYVK1ZQfHw87dy5k12fSDx+/DgNHDiw2fU1a9ZQQ0MDi6YhQ4ZQcXExFRYWkouLCx0+fJguX75Mt27dorFjx7JoCg4OVpl7wdbWls0G0cHBgS5evEh79+6lvXv3UllZGYWGhlJmZiZNmTKFRdMnn3xCubm5tHv3bioqKpISl7du3ZrV0hYQz4VJzq5du9LYsWPJ3d2dnJ2dlT6G1U0R2/mcOXNUarKzs6ONGzeyaLKxsVGZgLtdu3ZSngh108vLi8rKymjHjh20fPlyWr58Oe3cuZPKysrI29ubRZOc06dPp/T0dLp9+zbV19fTpUuX6KuvvlI5UaUOiuj8yR0f/xVlMhn5+PjQmTNnWHcpyyma05gi27ZtS5GRkewTPyIueDzLNa9Vq1ZsOb8WLVpE5eXldPXqVfLx8aHExETavXs35eXlsdlJAyAPDw8pV2lTNrVzVhfNzMwoKChIyjNSW1tLhYWFFBQUJE2YqZsiLg7JdcmTmCvSycmJ8vLy1K6Hc9f98yjimA9oXNQ7ePAgrV+/nlq2bMkezxXfvdraWrW+e8Ln+AGAfv36gYiQkZEBW1tbjB8/HteuXZPOW3PDzs4OPXr0QFFREYqKith0yHMLPXr0qNm9du3a4bffflO3JJVo1aoV7t27h7///ptbilDQ0tLCiBEj0LlzZ+jo6KCqqgrx8fG4f/8+m6bXX38d3bp1Q0FBAUpKSth0NIWlpSUA4NatW2jdujXefvttlJSUoLCwkFmZBi87jI2NYW9vj4qKCtTV1bHpMDMzw8iRI5XyCcTHx7Nq0uA/C6+++ip69eqFuLg4bikavAC0tLQgk8nQ0NAAbW1t9OzZEzdu3EB1dTW3NKHQtm1bAMDNmzdhamqKYcOG4dq1a8jMzGRWpsG/wpw5cxAeHo4HDx4oXbezs8OCBQvg6+vLoqtXr17YuXMnjI2NUVVVBQCwsbHB/fv3MX/+fGRnZ6tVj5GRUbMyEhUijfnGjBmDFStWoGPHjlKc+G8E+wzhy8bk5GTJhWLq1KlUUlJCwcHBlJeXRwsWLGDTJaozlJGREXl4eNCiRYvIx8eHRo4cyboTQhX37t3LrqEp5W1MRHK61YjownT37l0KDg5mO9b1LIpmtautrU1z5syhuLg4ys3NpdzcXIqNjaWPPvqIzXFFRFchUSl3zJG3c1Edc7766it2DU0pSh8jYn/s6upKW7dupaioKDpy5Ah9/fXXZGdnx15Wqrhr1y7W56t6z7i+FRwcHCgtLY2uXbtGu3btUnIXy8jIYCsjGxsbKUdahw4dyMPDQzpKz8WmrmwrVqxgd2WTa5J/N4ngFCc6LS0tydHRkRwdHcnS0pJdj0jxQE5jY2OytbVtdt3BwYG9vACQvr4+ezwA+FyThd/x8+GHHyIsLAwAYGVlhb1798LR0RFFRUWYPn06Ll++rHZN+fn5cHBwAACcP38ebm5uqK2thYGBAdLT01mcDIDnO0NlZWVhxYoVatc0YcIELFmyBHl5eRg8eDB+/fVXaGlpwcHBAVOnTkV+fr7aNR07dkzpb5lMhsGDByM5ORkA8N5776ldk5ubG3bs2IEbN27Ax8cHP/74I/T19aGnpwdvb29JmyjgcssBxHRhKi4uxtatWzFlyhR07NgRhw8fRkREBDIyMtSuRY7AwECMGjUKOjo6SEhIQN++fXH69GkMHz4c8fHxWLt2rdo1/fTTT6irq8PevXulVTNra2t4e3vDwsICkydPVrsmEV2F7t69i59//hkRERFCvfsiOuZs3rxZ6W+ZTIZp06Zh3759AICFCxeqXZOIfQzw/P7Y09MTBQUFate0du1avPrqq0hKSsK4ceNw5coVlJaWYt68eVi7di0OHz6sdk2qXGCAxnrMzc2FjY2NmhUBrq6u2L9/P/T19ZGdnY05c+agsrISAJ9r69mzZ/Hll18iPT0ds2bNwocffoixY8eioqIC2dnZcHR0VLsmf39/fPTRR/jrr7/w3XffYcmSJUhNTUW/fv2wZ88ebNy4Ue2aADFd2UTUBDS2dQ8PD9jY2KChoQGlpaUICQlBeXk5ix5F6Ojo4OnTp0rXWrVqhbt376pVh4jxAGjsYzZt2oSamhro6upi+vTpyMrKYtXl4+ODo0ePSt+cIsDHxwdjxoxBSkoKi2sy+6zX86iYwCoyMpJmz55NMpmMxo0bx5bhPTs7m9q1a0dA4+4fPT09AhrzjnAlUQbEdIbKzc2Vkv+1atWKTp48SUDjzG9qaipbm9q/fz8NGjSIBg4cSIMGDaLffvuNBg4cqDJHkjqYk5NDXbt2pX79+tGdO3eob9++BDTmjOFKaOfr66uSixcvprt377Joktef/LcoLkyKmmxsbGjp0qV04cIFKi8vZ9t9IHdlMzAwoPv370srCfr6+mzx4HkJErncqkR0FSouLqb58+fTuXPnqKqqijZt2iTFBE6K6Jhz7do12r9/P02bNo28vLzIy8uLampqpN8cmkTsY+R1JFp/rJgfQ1tbm86dO0dAYw4ErpweT58+pfLyciUXGPnff/31F4um8+fP0+uvv05AY76Y0tJSKSZw9XtN+19XV1dJF9d3S0FBAenr65OFhQXV19dT69atCQAZGhqy5ogR0ZVNRE1r166l0NBQ8vT0pEOHDtG6deto1qxZlJ2dzboD19XVla5fv063b9+m+Ph4Kbk6wJN0WsR4IG838nybTk5OVFRUROPGjWPVVVdXRzdu3KAzZ87Qxx9/LMUETjK7JvP+8/+Kii9U00DE1YgGDRpEBQUFtGrVKtq6dSulpqZSYGAgnTp1ivz8/NjKSlRnKPlvfX19pTrj0iSTyWjRokV06tQp6tGjBwFgT/Sl2M6bOjxwdcB//vknrV69mgIDA5vx3r17bGUlogvTs2JRly5d2BJKimi1m5aWRu+//77S5IpMJqOJEydSeno6iyYRXYVEnEgExHTMadmyJW3cuJHCw8Opbdu2BPDHcxH7GEDM/vjixYtSO7KxsaG0tDTpHtfEa2lpKdnY2Ki8x+XA1LRve/3116m4uJjee+89tkmWixcvNkvq7uDgQKWlpXTnzh0WTfIJaC0tLbp165ZSX8OdHFg0VzYRNYk4EQyIN9EiYjxoWn8A6NVXX6WsrCzy8fFh05WdnU0ymYyGDx9OISEhVFNTQ3FxceTl5UUtW7ZkKydG12SexvGivHXrFm3evJm2bNlCVVVVSucZOYOAiYkJzZ07lzZs2EBbtmyhZcuWUZcuXVjLSkRnqKCgIDp58iStWLGCzpw5Q8uXLyeg8Wwx5+4o4H+zvG/dupUqKytZtSQlJdGcOXNoyZIllJubS4sWLaJ27dqRl5cXmwNTamoqOTo6qrzH9fELiOnCtH79etb2o4oiWu126NCBDhw4QDU1NVRSUkIlJSVUU1NDBw4coI4dO7KV1WuvvSaUq5CIE4mAuI45QKNNeXJyMvn5+dGVK1dYtcgpUh8DiNkfT5w4ka5evUqnTp2iyspKGj16NAGN7pHh4eEsmubNm0fdu3dXeY8rj2NmZmaznCJWVlaUk5ND9fX1LJqmTJmicieijY0N7d69m0VTWFgYhYeHU1RUFP3000+0b98++uCDDygkJIQiIyNZNAGqXdkSEhJYXdlEdIoTcSJYrkvxb+6JFhHjAdA4bmia36dly5aUmJhIjx49YtHUtH50dHRozJgx9NNPP1FNTQ2LJmbXZJ7G8aKUb9eWU76LxdLSUsgEjtzU0tIiNzc3+uSTT2jx4sU0ceJEKckdF0eNGkV+fn40bNgw6ZpMJnumFai6OXr0aPa2ZG1tTd9//z3t3LmTLC0tadGiRZSfn08xMTHUtWtXFk2dO3d+5pbINm3asNebIseMGcOuQTSKaLWrSAsLC7KwsGDXISJFnEiUs23bttLOGlNTU/Lw8HimnToH582bR/v372fXoUgR+hg5ReyPzc3NqXfv3uzfKiJz6NChKiejTExMaMWKFez6RKG2tjZNnjyZJk2aRNra2vTWW2/R1q1baenSpWRoaMiqTUtLS1q00tbWpt69e0vHYjSaGiniRDAg3kTLs+KBqakpazzo3r07vfbaa82u6+jo0AcffMCi6Xk7suSLoxx8/fXXycPDg2PTCM8//J9KbseHl4GiDdLt7OzI3d2dunXrxq5Fw3/N8ePHK9Hd3Z1u3rwp/c2hqVOnTrRnzx5as2YNGRkZ0e7duyk/P58OHjyodBZcw+bkdjsyMDCgpUuX0pIlS0hPT4+8vLzo2LFj9M0337C614lMZ2dn6X1zdnZm1yOnmZmZWlwxXna2adOGevXqRb169RJmEl80dxrRnWlE4Pz586U6srOzo5SUFLp37x6lp6cL4Zpjbm4u7R7hpoiuu6K2ZREngjUTr/8eRepj7O3t2ctDFWUymbQbX1dXl3r16qWueMX/z/8rjhgxgmbMmNFsAPXhhx+y6JF3Jk1pYWFB169fZysnIyMjWrVqFRUUFFBdXR3V1NRQWloaeXt7s2kScZCenJwsfaxMnTqVSkpKKDg4mPLy8ti2cYs4cWBpaUk7duygbdu2kYWFBX3++eeUl5dHkZGRrCtCjx8/puPHj9OePXsoNDSUQkNDqb6+nkJDQ2nPnj0smlJSUmju3Lnk7+9P+fn5tHjxYrK2tqYZM2ZQUlISiyYRrXaPHTumxOjoaPr999+lvzk0RUZG0nfffUfbt2+nxMRE2rp1Kw0YMIDWrVtH+/btY9HUdDLK29tbiMmo4cOH0+XLlyk2NpaCg4MpODiY4uLi6PLlyzR8+HAWTW3btqW9e/dSXV0dPX36lCorK6myspI+//xzNov5N998U7h3DwD16NGD0tLSqLCwUDpqUlRURGlpadSrVy8WTaIlTQUa837duHGDcnJyqKCggPr06cOu6cKFCxQQEKByMoqLikdvYmJipCSugwYNknKzqJs2NjYUERFBt27dotLSUrp8+TLdunWLIiIiWBdhLl68KMWBJUuWUGpqKgUEBNCpU6do7dq1LJqePn1KpaWltHr16pdi4ZM7nYZIFHG8Bzy/j+nZsyebLhsbG2kisUOHDuTh4cE6Of3ee+9RdXU1/fbbbzR27FhKT0+nxMREun79Or377rv/9PP5GsiLcO3atZSSkkIbN26ksrIypYE5VwcsouMDAIqKiiJvb2+ysrIiX19f+uyzz+i1116jH374gW2buXyQLh+gizBIV8wNdf78eem4iYGBAZszjYgTB3FxcbRgwQLy9/en3NxcWrZsGVlbW9OCBQsoKiqKRRMA6tOnDyUmJtLcuXOlaxUVFWx6AOWtpE1zeXAloT979iyNHDmSTE1Nyc/PjwoKCqRBA6f7mWhuR4qJrm/evKl0jyseiDgZBYAKCwtVDp46duzIltw5KSmJBg0aREDjQsOGDRvI0NCQ1qxZw7YDV8R3D2hs66p2aPXt25ctMb5oSVPl5SSaM01FRQV9++23VFlZSRkZGbRo0SLpyCUXi4uLlepR8R5X7Pz1119p4sSJSo6DWlpaNGnSJKV8MeqmiK672dnZ9MYbb9CXX35Jly9fposXL5K/v7+wu5Q586SJNvEq4ngPELOP8ff3p4qKCioqKqKZM2dSUVERhYSEUEFBAfn6+rJoys7OJktLS+rYsSPdv3+fOnfuTACoffv2Some/yHyNI4XZV5ennT+1NTUlE6cOEEbNmyQCo5Dk4iOD0Dz5GPyjlgmk1FRURGLJlEH6e3atSOgcfePnp4eAY0fB1zJ40ScOHieJi5XKDllMhl98sknlJycTE5OTuyOOVlZWWRvb099+vSh27dvU+/evQlo3P7O9VEnotWuiG5Him256WQ014eKiJNRQGPfpyqxuq6uLl2+fJlFU9M6ysrKkn5z9Xsivnvy+nvWPVHqjztpKiCmM43icwcMGEDbt2+nmzdvUnJyMlsi3i+//JLCwsKoU6dOtHz5clq4cCG1b9+epk+fTsePH2fR9Lw2/rx7/zRFdN1t2padnJxo/fr1dP36dUpNTWXRtHnzZpXcsmUL3b9/n63+RJt4FXG8B4jZxxQUFJC+vj5ZWFhQfX29lLvU0NCQ7d17nqPmP93H6EBw6OjooKGhAQBw//59jBkzBrt378bBgwfRokULFk2bNm2Cubk5rl+/3uzeunXrGBQ14sGDB3BxcUFqairGjBmD2tpaAAARQSaTsWjKysrC8OHD4ePjg+TkZPj7+4OIWLTI4evri1OnTuHIkSO4dOkSkpOTER8fjwEDBiAsLIxF099//w17e3uYmprC0NAQvXv3xoULF2BnZwdtbW0WTVpaWtLvffv2PfMeB4gIW7ZswaFDh7Bp0yZWLQCwbNkyHD9+HH///TfGjRuH5cuXo3v37jA1NcWcOXPYdJmYmKC+vh4A8Msvv8DDwwNHjhyBhYUFix4iwqZNm3Do0CFs3LgRt27dgo4ObzeUlZUFIyMjPHjwADNnzpSu29ra4vfff2dU1ojY2FilvznjZ2hoKDIzM3HgwAGp/7OxscHkyZOxZ88eFk23b9+Gp6cnTp8+DXd3d1y9elW6xxmnRHv3ACAuLg4xMTHYt2+fUv15eXnh5MmTLJqePHkCS0tL3Lp1CwBQWFiIoUOHIiYmBnZ2diyafv/9d9ja2qKiogIAUF1dDVdXV0RFReGNN95g0aSIc+fO4dy5c/Dx8cHw4cMxadIkBAcHq13HZ599Bm9vb0RERMDOzg56enqYM2cOoqKi4OnpqXY9AHDhwgVs374de/fuVWrj3t7eyMnJYdEEAHPnzkV4eDhyc3NRU1ODrKwsnDlzBg4ODli7di2LpqbjgszMTGRmZsLPzw8DBw5k0fThhx/Cz88Pf/31V7N7U6ZMYVDUiHv37mHp0qVYunQpBgwYgClTpiA7OxtFRUWIiIhQ+/sn4ngPELOPaWhowKNHj/D48WP8+eefuHv3LgDg4cOHLHrkkMlkICLMmDFDuqalpaWWuQ22mcEX4fHjx1UeAVizZg01NDSw6xOJDg4OlJGRQbW1tXT27FkpoVXr1q3Jx8eHXV/btm0pMjKSfYUfaEzINnfuXNqwYQNt2bKFli1bxnp+eMiQIVRcXEyFhYXk4uJChw8fls6mjx07lkXTqlWrVOYTsbOzo0OHDrHXoeg8fvy4ko26uimi1W5TiuR2JBKDg4NVvnu2trZ09uxZVm1du3Ylf39/2rJlC23ZsoX8/f1Z80PY2NhQZGQk5efn0/79+6UjOhYWFuTu7s6iSeR3z83NjXbu3EnR0dEUHR1NO3fupFGjRrHpEdGdRkRnmoiICNZ287JQV1eX5s6dS3FxcZSXl0d5eXkUFxdHH3/8MbuTrGiuu1OmTGGvr6ZMSkqit956S+U9ztMCqnZhaGlp0ciRIyk0NFTtepqO9+RHhUQY74nWx4SFhVF4eDhFRUXRTz/9RPv27aMPPviAQkJCKDIykkVTnz59pNMmiuzQoQN5enr+o8+W/c8PYaGvrw8AePToUbN77dq1w2+//aZuSQAAIyMjuLm5wcbGBg0NDSgtLcWpU6dYV2OdnZ1RXFyM+vp6GBgYwN/fH46OjigsLMTatWul1UcNXg60atUK9+7dw99//80t5aXBrl278NFHH6n9uceOHWt2bciQIUhOTgYAvPfee+qW9FLAzs4OPXr0QFFREYqKith0ODk5gYiQlZWFbt26wc3NDcXFxYiLi2PTpIEGGogDc3Nz3Lt3j1VDp06d4O7urvTd+dNPP7HuTNTETg3+f8Lc3ByPHj3Cn3/+yS1FCREREaw7jjT4v0NbWxsTJkwAEeHw4cPo27cvpkyZgmvXrmH79u3sO384wDoz+CI0MTGhiRMnkq+vL/n6+rLPkk+YMIEyMjIoODiYysrKaN++ffTjjz9Sbm4uqz1iQUGBlH9h165dtHHjRnJxcaHAwEA6cuQIez02JVfiTS0tLZozZw6tXr262cpCQEAAW3l06dKFli1bJp1p5t6F5OPjQ1ZWVuztpClFdNXLzs4WLmmxiYkJff3111RUVER3796lO3fuUGFhIX399dds8VNER73AwEBKS0ujzMxMWrt2LSUlJdFnn31GKSkpQtm0ctve/yvGxsayPFfuiLh69WqNI+K/oDwmFBYWChMTRo4cqaQvJCSEcnNzKTw8nM0GuH///lRYWEgFBQXk7OxMp06dorKyMrp27Rr169ePRZOPjw/Fx8dTQEAApaam0rZt2+jLL7+kS5cuScnN1U0RY6e2tjbNmTOHYmNjKTc3l3Jzcyk2NpY++ugjNpc/QLzkwP+KXPFcFeUGLKJy+vTp7BpcXFzI19eXzV1TTlHHV6KROR7wF8DzOG3aNCorK6MdO3ZQQEAABQQE0M6dO6msrIymTZvGoik3N5cMDAwIALVq1YpOnjxJQOPWO66EaACUXFWabkvkSsYr4iA9ODiYwsPDaeHChZSVlUXr169/Zrmpi8uWLaOcnBzy9/cnT09P8vT0JH9/f+kah6a6ujq6ceMGnTlzhj7++GMpIRo3RXTVEzFp8cmTJ2nZsmVkaWkpXbO0tKRly5ZRfHw8iyYRHfXy8vJIS0uLDAwM6P79+2RsbEwASF9fn02TiLb3AKhXr14q6ejoSL/99huLJo0j4ovzWTHB39+fLSYo9rnBwcG0Zs0aat++PS1atIiOHj3KoikjI4PefPNN6tevH92+fZtcXFwIaGz/XDbl8jgFNMbL06dPE9B4fJDLAELE2PnTTz/Rjh07qG/fvmRlZUVWVlbUt29f2rFjBx04cIBFEyBecmBAzHj+9ddfS4tDvXv3pvLycrp8+TJdvXqVbRHtX5HDbSwjI0P6PWvWLMrJyaHAwEA6d+4c25gBEHN8ZWRkRKtWraKCggKqq6ujmpoaSktLIy8vL7ZyYo4HPP/0i7K4uFjlSpSZmRmVlJSwaFJ0fNDX139udm518uDBg9LMc2hoqOQsZG9v38xqU10UcZCu+EGira1Nu3btoiNHjlCLFi3YPqBKSkpUrkbp6uqyOVFkZ2eTTCaj4cOHU0hICNXU1FBcXBx5eXlRy5YtWTQB4rrqASArKys6ePAgbd26ldV6FFC22v137v2TFN1Rr+n7zzVhLqLtPdAYz5OSkig5ObkZHz58yF5/GkfE51PEmKA4GGhaNlxlpVh/igtqTfWqk3l5eVKOGjMzMyXLXxGcaUSJnc8bF3CNGQAxXdlEjOeK46vk5GTq06cPAY3jGDXYXD+T8t1jTZmXl0ePHj1Sux7F9+38+fNKTlVNXQnVXU7y36KMr6Kiosjb25usrKzI19eXPvvsM3rttdfohx9+YMsxyRwPeBrHi7KkpIRMTEyaXTcxMWEbEAcFBdHJkydpxYoVdObMGVq+fDkBjbtbuAYv8jIJCwujsrIySk9Pp8ePH1N5eTn98ssvKpMnqoMiDtJVWR3KZ8q52lRRURG1b9++2fX27dsL8UEONCa2HDNmDP30009UU1PDogkAzZs375ntmeu4UFOKkLQ4Pj6eli5dqnRcok2bNrRs2TJKSEhg0TRo0CAqKCigVatW0datWyk1NZUCAwPp1KlT5Ofnx6IpPT1d2sGpmIzbxMREY3vfhPn5+SqT3gJ88TwrK4vs7e3JycmJbt++LS14vPbaa2y7DhStdtesWaN0j/OjXMSYcP36dfL19aXFixc3a+Mi1N97772ndI9rkuWTTz6h3Nxc2r17NxUVFUmLfK1bt6aUlBQWTSLGzrS0NHr//feV9MhkMpo4cSKlp6ezaALESw4MiBnPCwsLpZQVaWlpSvc4Y2d1dTX16NGD2rdvr8QOHTrQjRs31K7n4sWLZGZmRhYWFs0mxLgmWAAxx1eK8RyAtBFCJpOp1KsOqqojNcYDnsbxovTy8pKOei1fvpyWL18uHfXy9vZm0zVq1Cjy8/OjYcOGSddkMhm7awAAMjY2pu7du5OjoyPbGXk5RRyk79+/XymvgJwzZ86kx48fs2gaOXIkXb58mWJjY2nXrl20a9cuiouLo8uXL6vUqg4+r/OQf+xxsEWLFjRt2jQaOnQoAY3OFFu3bqV58+axnuEXjWZmZhQUFERFRUVUW1tLd+/epcLCQgoKCiJzc3M2XU0d9fz9/VlzWT0rZrdq1YrefPNN1joUaQcZAPLw8JDcQ5qy6QBZXVTliFhaWqpxRFRBEWNCYGCgEuUr15aWlmx5rcaMGdOsj7O0tCRbW1taunQpW/29/vrr5OHhwRovFSli7OzQoQMdOHCAbt26RSUlJVRSUkK3bt2iAwcOUMeOHdnKSkRXNhHj+YIFCyg+Pp4GDx5Mn3/+OW3atIkGDhxIX3zxBe3bt4+trEJCQqQjn00ZHh6udj1XrlyRTk+Ul5dLueOMjIxYd5WKOL5KTU2V6m7MmDFSehaAb6crZzwQ3tULAMzMzDBy5EhYWVkBAG7cuIH4+HjU1dXxClOACI4PIqJFixaYNGkSfvvtNyQlJWHKlCno378/ioqKsHv3bjx9+lQoTcHBwXjy5InaNQGATCaDs7OzUjvPzMxkc/Wyt7fH5cuXWZ79PPz444/Q0dGBoaEh6urq0LJlS/z8888YOnQoZDIZpk+fzi1RGHTp0gXW1tZIT0/HgwcPpOsjR45EfHw8o7L/xYULF9C7d29uGRJEcRpTxOjRo+Hi4oKAgABWHT4+Pjh69CiqqqpYdShCV1cXU6ZMwY0bN5CUlIQPPvgALi4uuHTpElsfAzS+e1ZWVsjIyBD23RswYACcnZ2Rn5+PhIQEFg1N3Ug//fRT9OrVSzg3UtHilOgwMjJSavfqgjwe/Pbbb8jOzoabm5sQ8QAQPya4uLjA2dkZBQUFbPEAAFxdXTF37lx07twZOjo6uH79OqKiohAWFsZafy8DDAwMYGlpiatXr7I8X8TxlYODA0JCQmBvb49Lly5hxowZuHz5Mlq3bo0pU6Zg69atatfE+S31Ukz8aGtro6GhAUBjZ9K1a1dUVFSwTbT0798fISEh+PvvvzFjxgx8+eWXsLW1RYsWLTBx4kSkp6ez6BIRIg7Sn6cJAD788EO1azI1NcX9+/fV/tx/FyJMcObm5qJHjx7Q1tbGjRs30K5dO2lyTH5Pg8aOZf78+SgqKkLPnj2xcOFCREdHAxBrEJOdnQ1HR0e25ycnJ2PChAm4e/cupk6dipUrV+LMmTPo27cvdu/ejW3btrFpEw11dXV48OABysvLERERgUOHDuHOnTusmuTx3MDAAPfv34eRkRGOHj3K2scsWLAACxYsEO7dy8jIQN++fQEAM2fOxPz58xEVFYURI0bg+PHj+Oabb9SuqaCgAD169EBDQwN27dqFhw8f4vDhwxg6dCh69OgBDw8PtWtSBe449bKhsrISHTp0UPtzRYwHgJgxQTEezJo1C/Pnz8fRo0dZ44GIiwsiQtQxg4jjq+dh+vTp+OGHH9T+XO5vKbbtRi9Cb29vunPnDpWUlJCbmxuVl5dTYmIiXbt2jSZPnsyiSUTHB1EpP6Ovra1N1dXVkiuF4j2NJtCTJ08oISGBZsyYwWar25SK1ovdunWjkpISqqiooCtXrpCzszObrvz8fNLV1SUzMzOqr6+Xjijo6ek1S8T538y8vDzpuEmHDh0oMzOTPvnkEwJ4z4A35ccff8z6fBGdxt58801KS0uja9eu0a5du8jMzEy6p+jmoW6KmPBdxHgu6rsnYkJQEd1IVZE7TolIX19flVy8eDHdvXuXRZOI8QAQMyaIGA8U3WTnzp0rOXxpqEwRxwyAuO/fs8h1hJ7zW0oLgsPPzw9dunTByJEjERkZieHDh2PYsGHo06cPli9fzqJJV1cXBQUFSE9Px+3bt5GamgoAyMnJgYGBAYsmUaGlpQVdXV0YGxvD0NAQpqamAAA9PT3o6upqNP0PioqKsGnTJgwZMgTl5eWIiorCpEmToK+vz6IHANzd3aXf3377LRYuXAhbW1tMnDgRGzduZNO1Z88eFBcX4+LFiwgICMChQ4ewe/duZGZm4sCBA2y6RIOWlpa0nbyyshKurq4YNWoU1q9fD5lMxqzuf7Fz507W5z958gTt2rUDAPzxxx9Smf3111/Q1tZm0bRz50588cUXcHBwQGlpKc6dOwdbW1sAYItRAEBEICIkJCRg1qxZaNeuHXbs2AE3NzdUVFSwaBIxnov67mlpacHMzAwWFhaQyWTSCuPDhw/ZjlAUFBRIuzByc3OlnQ/29vZsx65VgTtOiYi1a9fC3NwcxsbGSmzZsiW0tHiGFyLGA7ku0WKCiPGgoqIC1tbWWLNmDfr06YOioiLExcXBy8sLLVu2ZNEkIkQcMwBivn+5ubkqmZeXB0tLSxZN3N9S7DNuz6Piik/TzOkaxwfxuWjRIiovL6erV6+Sj48PJSYm0u7duykvL48CAwM1mv6Hiiud+vr6NGHCBDpy5AjduXOHJXFcU01NV6S4d4y0bduW2rZtSwDI1NSUPDw8yMnJiVWTaExKSpIcoeTU1tamvXv30tOnT9n1iUIRncaaulC4urpSaWkp9e3bl80tBxAz4buI8VzUd0/EhKAiupFq+GJMTU0lR0dHlfe4XKFEjAeAmDFBxHggqpusaBRxzACI+f6J5sgGsH9L8TSOF+WxY8do7dq1tHXrVkpKSqLvvvuO+vfvT4GBgUqZudVJUR0fRKWIg3TRND0rCJiYmJCXlxeLpnv37tGxY8coOjqaampqlNq8ZoJTfFpZWZGlpaXKe/3792fXJxJFcxq7ePEimZiYKF1zcHCg0tJSunPnDpsue3t79rpSRdHi+cv27hkYGLA6HgFiuZFq+GLs3Llzs6M48nbPWYeixQPg5YoJnPFAxMUFESnimEFO0d4/0RzZAPZvKb7G8SI0NjamTz/9lPz9/cnIyIjc3d0pMTGRtm3bJs1Oi0DOVVgNX36q2lnwrI8EdXHgwIFKNDIyIktLS2rTpg3NmzePvcw01PCfInc8nzJlCvXt21fpmqWlJdnY2NDu3bvZy0dDDTXUUBW5Y6eGLzdFXVwQjSKOGTR8acgu4N+miB0L99EXDf/zKGI7F1GThhr+/6aI8Vzz7mmooYaiU8TYqaGG/w3UfCNo+CIUPrmzKoiUmFSO4OBgbgka/IdBxHYuoiYNNPj/DRHjuebd00ADDUSHiLFTAw3+G6D5RtDgRfBSTvyI2LFoHB80+P8NEdu5iJo00OD/N0SM55p3TwMNNBAdIsZODTT4b4DmG0GDF4EMjVt/NNBAAw000EADDTTQQAMNNNBAAw00+A/DS7njRwMNNNBAAw000EADDTTQQAMNNNBAg38NzcSPBhpooIEGGmiggQYaaKCBBhpooMF/KDQTPxpooIEGGmiggQYaaKCBBhpooIEG/6HQTPxooIEGGmiggQYaaKCBBhpooIEGGvyHQjPxo4EGGmiggQYaaKCBBhpooIEGGmjwH4r/B5jVnrkxjAvlAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with plt.style.context('dark_background'):\n",
    "\n",
    "    df_text['user_id_str'].value_counts().head(30).plot.bar(figsize=(20, 10), color='r')\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Un des utilisateurs semblent avoir plus de 35 tweets sur cette période:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-8025819990123729852\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "175      RT @KiriJeankiri: #OlivierVeran qui se saisit ...\n",
       "953      RT @BOROWSKIMIKE: Macron est-il sous l’influen...\n",
       "1501     RT @Independenzia64: Respect au #Canada, ils s...\n",
       "2077     RT @flamecapitain: #Trudeau #macron #Ottawa #P...\n",
       "2847     RT @JeanRobinMedia: Pour trouver des qualités ...\n",
       "5905     RT @ChandelonR: Macron avait augmenté la CSG p...\n",
       "6056     RT @Independenzia64: Respect au #Canada, ils s...\n",
       "6426     RT @jayjay11800: #blanquer #veran #passvaccinn...\n",
       "6854     RT @graphAD: #Trudeau et #macron, même combat,...\n",
       "7355     RT @Ari268748566: Macron a détruit la France :...\n",
       "7451     RT @Independenzia64: Respect au #Canada, ils s...\n",
       "7905     RT @dee_agnesdday: Si seulement les Canadiens ...\n",
       "8679     RT @lorie_laurette: On comprend mieux la fuite...\n",
       "9007     RT @dee_agnesdday: Si seulement les Canadiens ...\n",
       "9475     RT @dee_agnesdday: Si seulement les Canadiens ...\n",
       "9791     RT @marc_ottin: #Trudeau s’est mis à l’abri en...\n",
       "11396    RT @dee_agnesdday: Si seulement les Canadiens ...\n",
       "12736    RT @Independenzia64: Respect au #Canada, ils s...\n",
       "13158    RT @JeanYvesCAPO: Vœux du Président du Conseil...\n",
       "13287    RT @BOROWSKIMIKE: La ministre du travail dit q...\n",
       "13556    RT @jerome_riviere: Madame von der Leyen récom...\n",
       "13882    RT @dee_agnesdday: Si seulement les Canadiens ...\n",
       "15681    RT @YvesPDB: La fragilité des young leaders de...\n",
       "16365    RT @WTF_the_phoque: Le froc à  #Trudeau, la co...\n",
       "17869    RT @graphAD: #Trudeau en panique. Suivra Macro...\n",
       "18476    RT @KurejiiU: Ont dirait qu'ils font partie d'...\n",
       "19365    RT @_100_Draps: Ménard va finir par rejoindre ...\n",
       "19434    RT @LN2Champagne: Alors on a :\\n- une prof cou...\n",
       "20840    RT @E2Villiers: Le Président Macron, une fois ...\n",
       "21228    RT @PangolinChoupi: #Trudeau est allé se terre...\n",
       "21589    RT @dee_agnesdday: Si seulement les Canadiens ...\n",
       "21850    RT @Independenzia64: Respect au #Canada, ils s...\n",
       "22543    RT @dee_agnesdday: Si seulement les Canadiens ...\n",
       "22595    RT @MarieLib10: Le Gouvernement #Canadiens  es...\n",
       "23092    RT @criticalWnews: Le clone de #Macron, l'arro...\n",
       "24776    RT @dee_agnesdday: Si seulement les Canadiens ...\n",
       "24960    RT @kantken: #Canada Impressionnant et histori...\n",
       "25732    RT @dee_agnesdday: Si seulement les Canadiens ...\n",
       "Name: text, dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_user = df_text['user_id_str'].value_counts().index[0]\n",
    "print(top_user)\n",
    "\n",
    "top_user_tweets = df_text.loc[df_text['user_id_str'] == top_user, 'text']\n",
    "top_user_tweets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> On a l'impression que ce ne sont que des retweets. On peut regarder le nombre de tweets différents.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nb of unique tweets: 26\n",
      "percentage: 68.42\n"
     ]
    }
   ],
   "source": [
    "unique_tweets_nb = len(top_user_tweets.drop_duplicates())\n",
    "print('nb of unique tweets:', unique_tweets_nb)\n",
    "print('percentage:', round(unique_tweets_nb/len(top_user_tweets) * 100, 2))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> On peut aussi regarder la distribution du nombre de tweets par utilisateurs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    16872.000000\n",
       "mean         1.529872\n",
       "std          1.551536\n",
       "min          1.000000\n",
       "0%           1.000000\n",
       "10%          1.000000\n",
       "20%          1.000000\n",
       "30%          1.000000\n",
       "40%          1.000000\n",
       "50%          1.000000\n",
       "60%          1.000000\n",
       "70%          1.000000\n",
       "80%          2.000000\n",
       "90%          3.000000\n",
       "max         38.000000\n",
       "Name: user_id_str, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_text['user_id_str'].value_counts().describe([i/10 for i in range(10)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Sans grande surprise, plus de 70% de utilisateurs n'ont tweeté qu'une seule fois. Étudions la distribution pour les autres utilisateurs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with plt.style.context('dark_background'):\n",
    "\n",
    "    df_text['user_id_str'].value_counts().plot.hist(figsize=(20, 10), color='g', bins=30)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quelques idées pour poursuivre l'analyse\n",
    "\n",
    ">\n",
    "> - évaluer la contribution des personnes ayant tweeté plusieurs fois au nombre total de tweets\n",
    "> - "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}