20) Plotly and Cufflinks.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from plotly import __version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cufflinks as cf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from plotly.offline import download_plotlyjs,init_notebook_mode,plot,iplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "init_notebook_mode(connected = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cf.go_offline()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(np.random.randn(100,4),columns = 'A B C D'.split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.330631</td>\n",
       "      <td>-0.807754</td>\n",
       "      <td>0.365665</td>\n",
       "      <td>0.797542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-1.038591</td>\n",
       "      <td>0.756563</td>\n",
       "      <td>-2.024622</td>\n",
       "      <td>-0.219407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.187499</td>\n",
       "      <td>1.123757</td>\n",
       "      <td>-0.175952</td>\n",
       "      <td>-0.649522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-1.280273</td>\n",
       "      <td>-0.395659</td>\n",
       "      <td>0.387521</td>\n",
       "      <td>-1.104582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.049058</td>\n",
       "      <td>0.054979</td>\n",
       "      <td>-0.400981</td>\n",
       "      <td>-0.719319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>1.824383</td>\n",
       "      <td>0.302890</td>\n",
       "      <td>-0.929745</td>\n",
       "      <td>-0.972116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>-0.112524</td>\n",
       "      <td>-0.202216</td>\n",
       "      <td>0.852373</td>\n",
       "      <td>0.413917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>-2.773932</td>\n",
       "      <td>0.141514</td>\n",
       "      <td>-0.233129</td>\n",
       "      <td>0.650592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>-0.089809</td>\n",
       "      <td>-0.089201</td>\n",
       "      <td>0.411646</td>\n",
       "      <td>-1.476543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>0.832832</td>\n",
       "      <td>0.459691</td>\n",
       "      <td>-0.253043</td>\n",
       "      <td>-0.227236</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           A         B         C         D\n",
       "0   1.330631 -0.807754  0.365665  0.797542\n",
       "1  -1.038591  0.756563 -2.024622 -0.219407\n",
       "2   0.187499  1.123757 -0.175952 -0.649522\n",
       "3  -1.280273 -0.395659  0.387521 -1.104582\n",
       "4   1.049058  0.054979 -0.400981 -0.719319\n",
       "..       ...       ...       ...       ...\n",
       "95  1.824383  0.302890 -0.929745 -0.972116\n",
       "96 -0.112524 -0.202216  0.852373  0.413917\n",
       "97 -2.773932  0.141514 -0.233129  0.650592\n",
       "98 -0.089809 -0.089201  0.411646 -1.476543\n",
       "99  0.832832  0.459691 -0.253043 -0.227236\n",
       "\n",
       "[100 rows x 4 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = pd.DataFrame({\n",
    "    'Category': ['A','B','C'],\n",
    "    'Value': [32,43,50]\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Category</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Category  Value\n",
       "0        A     32\n",
       "1        B     43\n",
       "2        C     50"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1f7dca80e48>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RbzktbG2PlU6ssVa6ifw4xy5U+fYWN0POCFl55Pp+jN0AI4fg/Pp88pZHPmiThNhXk8IlTGorf/CHXPhP/8+633tRwq3TZeDqEvn8u/4rM2/9mS291tREnt8GkWce+Z89tki1+Z2ZR57qRIH0EhIGhBB84hOf4Atf+AK33HILd955J+94xzs4dOjQtq7lmrNWoiRluRmwf2S9Ig92u6eZJm1F3txe+XSsy/2DeItKqUXkPWwSuwRJoK/XbBG5c+QI/rPPEt0RbznVM7NWWlkrpqPaA9z4PQMV+cBAtq83Zr6Ee+F+65t4T3Xv+RglKVEiuWV/GY7PM7N69Yg8mp8jvLC19NJMkRfSrV9/5pGHkU0Sie/IPPI2kV/a6w4dOsSf/Mmf7Oi1XHOKfKkRICXd1krmke/6YGenR75D1sqWFfnzUD4A+bH1f8s2l9CdCdOm+ll81T2kzSbjlQXiLcYjWoq8GbZXKKB88tqM6r/SAV8r8iSV/YOPLSLfPHGlTbdrpQHtjJWpksNE0b6qilwGIWl9i9aKVBNaAe+SbINOuJGLQBBGBkFk4m9VMOxiZEL8UhT55cI1R+RZVWentdL2yHc5kWfphzsR7Nxu1srSc71tFVDXB63JJm3qDIZ77gHg+sVzW77XmSKv+TFpHLaJPFsZrCHyTkul73t6FfXzEsgmdV1Sr/s7yDJWio7FofHCVSbygLTRQKaXfp9tqcZGCX/LaZtu7FKwCgQxSGlRDzZ3L/zYZ8nb3mrzSmEr1srlwjVI5O2dgTLYe0aRx4q4dlCRbykIJWX/1ENQ1gq0iVwr1/zLX46wbW5cPr9la6WTWOIwUNYKgG6Xit9uvCmlxI8TRvLKQezrk7cU+eYntdR1IY6RYdv7zcrzi46pifzq2QkyCEBKUvfSJxNbqs9UFt6We5K7kUvJLqlsodSmGW3uXnzomQ/xpk+/aUvveaXRUuS7gDauOSJfqHVXdQJYhkCIvaLItbWy3YIg7ZFvyVpxl8Gv9FfkTvcGzBmRm+Pj5F78Yo6uzmzdWokSpkfUdxdHnUSuLZ6MlFHppFLCaF6p9r7qMnvNJskG2p+p017JrJWCY3J4vMBsZZuVs9tAGqgJOm1cWlA5SSUOishL+C1r6lKRKXIApLVpa2WmPrN3FDlDRX7VMF8LMA3BVKlN5EIIbNPY/USeZWnYRUXk25AC20o/rJxVP8dv6v33tYpce+RGsYj9kpdwa2WGaIsE4cdpq0dOEnVYK7lRfUCl41j1HqMFdUzfXPLsNZeqyKHLXsnUa1ETeSOIqfnri5SuBGSLyC/NJw/jlBxqbJSFjxdsrUOmF3nkTTWhS2kTbnLlVw2rRGl01SbAS0H2+A2J/CpgvuYzXc5hGqLr9znT2P2VnZ0eOWxr385tWSuxthPsfO+/Z9eXBTtdF0wT4TiYL76dkcijXL101SWlJIxTDo5pIo9DdT+gpyLPrJTRzFrpN3lsIWslm5w6idwN20R+SBcCXS2fPCPypH5piryTyAFCd+PXSymZ/YVfoPlwu02CG7vkTD0OUotYbi79sBqo7yJMBx+fVKsD/w7g/vVfd1lfOw25xayVy4Frj8jr3TnkGWzL2P3dD5NYZ61sf6f62FsFtqjIs5zgfj1anO7rS10Xo1RCCIF40YsBOLxwdvB7zB+HE91NNDNr5JAmchmHbWvFzqvr6SDyTCFninxDa2WTE6OM47bibfawVmyLQ+PqGq8WkaeawC5VkQdJQp42+UXeus2+1kG6LrU//wtqn32g9Ts3csmZuruo4ZCyOZWdEfkggdF8+GGe+97vI5pf6HtMtLDA2Tf9Y6qfvnyNWLPRdCmK3DRN7r77bu68807uuusu3v3ud5PugMl+zRH5Qs1nemS9knT2jCK32vtibjXgWZ8n0g9KsCUi14otI9G1WBfsbGIUFbknR24hFgbXL25A5N/4HfiLn+v6VaawD2REnoTdDbvyY92KPLNWNvTILy1rpVOFp177O/CidrAzK83fqb7kyx/4AN6xY5s+Xvrqe90skceLiyy+5z0EYUxORARC3eN4E0SeVZCGL7zQ+l0zbuIY6h7sK5URImWuunHvllqo3m9QAVFw8hTEMcnKcv9rWq2AlMTz/fdz3Q46++tfSopmoVDgiSee4NixY3zhC1/gM5/5DL/yK7+y7eu59oi8ryIXu7LXSppKfuOBE5xfcTtK9LP0vi0GPB/9YGvx7IdbqLDM1NLarocZ1uaRu26LyCPT5kJ5HwcqG/RfjgNwV9qpAXQTc8kx2wVBGfJjELSJJysGGmsp8o2slc3dz84AZ69gZ9Ex2VfO4ZjGjhC5DEMW/ttvUfvUpzd3vJSXbK3Uv/xlln7ndwnOniNHhGerLKDE2/j1qX6PoKMhmhu5OIaaDA6Mqon9xMLqhte9GUUeLylbTkb9/fvM+kpWB7/nVtHJ3Vu1Vvbv38/73vc+3vve9247JnDtVHZKSfjcX7La7O6zkmG3KvLZisfvfuUUB0Zy/LM0bgc7YWuKPPLhWx8k3q8mg60ReWat9FPk3deXNtuKPExS6naRwkZbwSUhyATCBuRG1LVqYs7bJuNFBxFH64m8lyIvZB75zmStdNopskOdZ3nkecfEMATXjed3JAUxXllR7xVs7lydBJc2NtfBMJuQoqZLjoiaMwHhHIm/8fjIJotkeZmkUsEcH8eNXWyhxtjhsVGO+3BycZW/ddsNfc/TjJokUjc5G6DI44vnAJBu/9VG2lR/i1cUkX9r7lsUZbH197l3vpPg2a23sU0BU2+07ZqCs5ZJ7iW3c/A//adLOs/NN99MmqYsLCxw4MCBLV/PnlLkNT/iYnWLCufikzj3/31eYxzrrch3adZK1VMPpRsleocgq0ORb+FePP2npO4Ssd71PtjCvoxpHPKnIyVCRO8D7P6KPIxTmnaefLjBtWcPstfOQsmIOWcZTJYchNQxgwxribwV7Nwoa0W/Jgm6VgD9kKk99dl6BDtt1W/90NjOFAXFi0qBpv7mrJ9MjcPm0w+zCSmqN8gREuUm9XtuXpEDBC+cRkqJF3lYIs/fe/4r3HVS2RsvLFX6nQKAStD++yAiT2ZOqWte6t8SObOUktVVvNjjX33+X7X6v+wIOsbJdpNWdiJDZ08p8t/47AkeeGaOx97+Q5f+4oYKjIzgtfbq7ETOuvqKfLYxy+Hy4a7f1bwII3eBRnBTR/phd+XkZvHuz53gHzz6Wxw4cCegHj5vC0T+bOMcv7pvipGlx3n9gZesP8DKgTC6gp32gYOAIuOmXeD6xgZZKy0iX4XxG/Rr1feTswwmSg7GylpFPtpOjWR9+uGGihyUpdMvG0djkLXimAaWLjA7NF7g6ye3nxMdLy0Cbd97I3Qel2yyTD+bkJJGDVNIksKUOlefvVA70WnfhKdfwLrrTmIZY6U2b3r2ASql2+AH4czK4EyTatgxCQ+yVlaVfSb9/quNzLdPVlZohA0SmbTUPnDJynkt/CjhOd34Le9Y3LS/vKXzvPDCC5imyf79+7d1PXtKkedtc8uVZllAK0fIgR7BTtu8ulkrzy4/y+s//nqOLXcHtC42ligefS8n6l/t2LMzSz+8tGW7PP1VbohOE73qX7R+F6yZDFKZ0txgi6+mbog04y32PkAIvQGzOk4224o8iFNcK08x2qBYJiPyzrxw/d3nbZPJoo0lB1sr/pr0ww0VOWzqnqZuhyLvslZiCk5796PDEwXm6/62x1WyrIJ6qb85dZ8GbTW72WBn9jmSho4xFPcB4AervP3rb2951z1f2zFZBKdeaCnffRea5NIYW9/386sbEHmwSSKvqveT3gBrRVtKcWW11cArlTv3fHeO3a3mkS8uLvLWt76Vn/3Zn0WIPqvbTWKPEbmBH6dbW4rohzUnop7WinOVFfmFxgUA5prdUfaLjSWESKlECx1Ns9anH55caLBYH7z0vqf2BSqUiW7/sdbvgqSbHD5/5vP84J/+4MBlqK/f90I/IgfdyraPteIYlGKfeFCUKMuM8drBqrWK3JLxprJWBgY7pQSvQhXlw2+OyDsVeZvU3TCh2EHk143lkVIF2LeDVnBvbnM7rcvw0q2VLPtG1hWRG2VF5C+E5/nkyU/y6Hzvza0BEv0a+4YbCF94oUWc+86oCcjWltN8oznwGat1BKqzXkBrIdOUuKqvNeg/RlvWyspqayzvJJFnQ9cyxCUFOz3Pa6Ufvu51r+OHf/iH+eVf/uVtX8+eslbylkmSSqJE4liXOINpr7VkREwU1wfpbNOgGVydKjyAqq8Iq7FmKbviqsHtxtX1BUEdZPuWP3yU7zk6ybv+3sv7vsd4tMCp9BA3dfjKa/PIz9fP04yaVIMqRbu49hT6WhSRz7oDUrs6NpfoDHYGcUq47xj2cwlh08PWGQ3rkKUC9vDI87bJRMHGETGJsGlRZ35MKfnIBzvfVuQZkffqtRI2QSYsyFHGRP2Sibwz2OlGSZci369bCSzU/G3tFBQvLOj32py67vTIN2utZJ8jCxKapSlSKWjEVbBg1e+f/ZHWG2Ca5O+4A//Es63vfd9plZlk67TMlJBzK01u3T/S8zybUeRJtQp6hSO9jYlc+j7NugoW7yyRK/Y2DeOSFHlymTav2VOKPHtIttT/QS/Rp3ISw1g/CTiWsaVObzKOB6ZBbRbVBdXbujH3ZNfvV3WwyUurylrpylppk0jFjVhqDK5iK19cwT1j0exQbP6aByZTU4Pslew1s82NiNxDpimp52GUNJFHCV5JPWSff/b/wKf+LXz6369/fQ9FnhFzzjaYLKqx4KUd3+Wa6s5gTUFQz2C2PnYh1U23NpFLngU7RS7XFez01yjyrOf9thX5oiLyNNhknnvmkZvm5q2V7HPoSk4zV8AlTzNVn3UgkTfqmOUyuVtuJjo/g+uqezp59qI6lyZyRMypxf7jqssjT/sQ+XI7d3yQIk+a7c/tL+v7xwbPd+U81DeXdy47FfkuKO3cU0Se09kAW/LJtbKbyPX+Mp0teuRzv/brnH/b29b/oToLJ7+46fNUXWVT1N3uarWqXm6GqR7kht2zIMgLk1b3vX4QxwOmvlWhcfJU63fBmuyAjMAzQu8FTxP5hebF/ipHWyvS90FKjJJS3iv+Ml5eveZPHvt9/ItPwNzT61/fwyNvZ62YTOUVgXtxmzjbHRDVvfLjNSX6vRR5RuSo1wbexul6mSK39u1bF+ws2u3VTtaYbSPLayNkRC432fdEao/cmpzsyigZhMwjl9oqMu0CrsjT0ES+4q/0fW1Sb2CMjuIcvRnSFP/safKBZHROjWlTj0shIl4YQOSbyVrJbCYYnI7ZmXYZLuusn3SALSsleCtd3TMHIVPhlqmslavdG2ZPEXk+28ln0LZd/aAJYcLuQ+TW1tIPw1OniM6dX/+Hh98LH3njpnOTq3oQN7zuB6am87wj9AAzOys71bmzdq2NYMAEl8TIhkRIiD/0RwBYUuKn3eSQ+YmDiDxT5FEasej28cm1tZIRXWatLHgXcHWIwqsu8wei1i4w6rrezFrp8MhbeeQGk9qpaCQdQ7jVOKvadXzRsbAM0dsjz4hcKiKf2yCzAlRJunAcjNHR7l4ra6yVqZKDENtX5K1gZ7Q56y/zyM2pKZLmJvPIs8+hidxyCniiSAM1xlaDAYq8VsMYUYocIHrhDLfMSYSULOVHMUI1xkYK8MJi/xVCNahiGXrS7WOtxEsdinxAFk/aaKigOxDpCtCUlCTt84wkIchU2ZebQCbCTUMgkew0jV/qxLC3iFwrcm+tIl86CX/5jsEJnfqBHXN6k7Vtii3t2ZnUaq2HYK45x/Hl4+oP9YvKClna3CbDmfJuhN2KoKnTAyOdLohhgWGA1e5JHsQpUjLQ45fuMlHTJDYN7C9/jcNLkhEpCGT3azZlrXQ0NJpt9NlOzClB6HZ1PgRYDuZwtZq+p/RyPmAFLPZqpduyVtZnreQsk0k9lzXjjiG8xlrx4wTbFJiG6J9eqo9dzIh8eXCuM7SDt0ah0KXIvTCmYLeJ3DINpkoOi/VtthzWRS0ySjfV8TKzYKypqU0r8sxvFjozxswV8ESBhlDf9SBrJWk0MMsjOEeOqHOdneFWFbvn6X23gM5/n/Z6tmUAACAASURBVB41ObvcXyDUghrThWlgkCJvCwc5oBYhbTSwrlMpr1l153nvPEvLS71JMrMpk2hTieHZOSxDjb+dtFeklCwvL5PPD06D7cSeCnYW+lkrj35Q9eb4np+Bkd7VUam7igGMWL1n5K0q8k4if99T7+Prs1/nc3//c628deaPcT73Ir50YoF/+pojfc9T07uO19fkdbtxExxIDZcIsLNufx27BGX3YxCR+2e+jUwMHn3J7Xz36VP8/QdDPv6TNlXZfT9ainxA1oqXdBP5Kw68Yv1BdgGiZovohCbylXCupch/ePJ1fDx+mt+zPN6+9vWdeeQaXVkrOl7diHp55IqM/SghZ6kx0zcGoo/NFPnCyiaIvNkm8qQjK2Rt1grA9EiehdrWFXnqeaRNbXskQt2P0tTA10hNnNa+KWQQIMMQ4fSpws3eR3vkGZFbuQK+UaQu1OcbHOysY994A0axiHXoOoxzF7l1TlLft5/V4jgsqusZK0pmz/cn32pYZbowzcXmxb5EniwtgSEglQNjBmmzgXPDjcQXLpKuVqAI7z/3fl554JWsLvf4LH61nfG0egwMc/0xHaj7EVUvJijYVLwIUc1j9Yi9bRX5fJ7rr79+08fvCJELIT4E/DiwIKV86U6csxfyLSJf80Ce0+0zg/o6IvejhPMrLofqy5SAEbP30sk2jS3tEJTUaqCDnfWwzqK3iJQS0dC9ROaP8cnlV/FbX3iON7zicKvKcC2qOhOkscbS8JK2Mq6YBtNZxkkHkXubIHL3pFoZnBy/npv+9g3c+38+xxPfa/DQvu7XZErcG9AJ0EtDCqnEMwQzjZneB9lFGo06p88sYAGm9sgr4RwNswTUGA1zfHeScrzXujDulUfeJnLbUQ9NvReR69VNEKfkbUO/xhysyLVHvlzZ2CNN3SZGqYhRLBIvLHCqcornV5/HC80uawVU5spiY+tEHmtbxXRS0gRozG9M5C1rRaUQJs0m1kZE7mVErlYPtlMgNIrUDHX/B1krSb1OvqwyUXJHb8Y5f5JbFyVLt95KEjoQhAhpUi7AXM0nTtJW0VQnqkGVI6NHgMHWijViE1eDrjTLddfUbJK/404wTajU4DDUkzrVUpXXXv/a9S/46E/Ds3+h/v2Wr8KhwTT2ni8+z7u/8BzvfuNd/Ns/f5K//Ld/o282zpXATlkr/xt4/Q6dqy+yh7JLkYdNuPiU+nfQ/RCemKvx8l/5PD/03/+KxFUDcryPteJYBsElKnIZRUjXVT/jGD/xidJIkWCHIm9ogq26/f23mrYrGmv6MAdpm8hXTLPdf7tju7eM4Jph0tdb80+rAOcLpUOc/uG/ge/ADz2YEAm6fMPNWSsxYxL2F/a38t/XIrWLpEGTbx5XRJ9ZK9VonqYxASgCGE9SKqLHNfdU5AmWIbBMA0eoe1rrqci1tdKhyHO2MdAjX5TqtSu1TZSkN12MYgmjqKyVPz7xx/zqw7/aR5HntqXIEx3cs0sxMjGQjQ2ajdFhrSw8pP5/E/ZKRuRG9lonT2CWqBrqu1n1V/uOrbRexxhRJObccjOFs4tM1WHx8ItIHLX8smMo5dUORPN9YgbVoMpkYRJLWAODnVbJRJjAACJPG02M0VHMiQmM1bYY6DshzT0DYzeqf9d6j+lO+JGy7TJhlrVnuFrYESKXUv4V0D+svUPo6ZHPPKqaK8E6Ij+z5BLGKb/0+hcxKtRAnehH5Dpr5VKCDEmt/X6p5xHo1LXVxsX2tcwfo66JvDKAyKvaq67L7mNi2VbGy4bZLoDp2O4ta9aUpLJvCmU8qwj1ucJhajmbr71UcPTU+s0lNpW1IiPyCA6VD/X1yAORp0CwzlqpxQu4KEWZ1uuMJzHVXivSFpF3Fvik5HTAO/t7LWy/OAkSNdFlwc44Jacnf8c08KKQn/3iz/Lr3/h1nl1+Vr3Ir5JYRRpSRU+r9dqGY0D1Vy8iCgVSz6MRNQiSAC9KKDjdi9z9IzmWGsGWPdS4ReTqO5arFzd8TZa1YjafV9e7QQqiTNNWHrmhyVHYBTwzj2sIRuwR9fl6rNJkmpI2m5iayHM334yhBdHF625F2mol4ERQ0M/e7GqP80hJNawy5ozhmM4ARb6EVTIQhiTtk/YrpSRtNDDKJayJccxqgxF9TT0toqABq6eRN/8gMgXqGxO5FyXkLbM1cTcHJRpcAezJYGeXIj/3jfa/1xTTZMf97Vs6ggZ98oQd00BKBlcbrkFS7SBy12sNvkrljPrl/juguYDRVOq84vVWGVEa0dSqtIFsXaMfJaTCQybKllg1jQ5F3i646ZzYGn3slXhuETOfsGyO04wCFscEdgS5UHbt25k9rAMrO9OYAoLDI4eZrbeJPEoi3vL5t/BXM3+FL/LYIsFoqu/EKJaI0xg3XSJOpnCtHGmjwXgcUTdEa8cidTMTNTkLE4Kq+n99P7IxkBF5RX+d7uOP89y9ryEI2tWdgX7YQCnyZrLKV2e+yke//VHe+Kk38sa/eCMnGjNE9ggB6r7KyN8wHz91XUSxiFEskbouzaipd7SR6xT5/pEccSpZcbvPeba2QT92jRaRlzWRVzZD5Or7tCzdynWDoqDO7A+R7ahj5VnVJHx0/CjQOwUxbTRUemmmyI+qzJXYhIvT15PmlCIfSR3yGZFX1o8tN3aJ05ixnCLyvop8eQmrIBCG7Lv7j/Q8SFPMchlzfAK77nMgibEQvYl8QSUonL//NHOPj29Skafk7LaV5m0yo+hy4YoRuRDiLUKIR4UQjy4uDijtHoDMWulKPzz/jY4ldbciz4i8kHQM5D6Ve7ZWepeSS57W2mpRem6LyKtV1WaTW34AgImGUkb9FHlWmpxLJQ3DgKa6PzU/Qpg+dqoa6qyYZrvbX49gJ4DbRxmkixUoCUDgRSFVXVM03ujugJgR+EBrRSYUMDhcPsycO9ci4ScWn+Dhiw/zjofewaK+DFNvTGCUisy780hSZDRB084jNZFDd1VfS42XpvUbdijsliJXr6voQ8PTpyGO8ZaLPRV5zjLx9Srj7a9+O7/03b/Et1e/zee9GUJrhABFWjmigSly0J21In0fN8zu1XprJWvQ1plL/tTiU/z4J358XV+dXsjS7eyiro6sbFywkgYBCDAN9Tk2KtPvTKHMUgWxctT06uKWUUXkvUgws23MEdU0KktBvHDQwcVCOurzl1Ibx+6vyLPvfzw3roi8x1ZvMklIllcwCxJh9O9HnjXMMkplzMlJnEZIMZVMCru3tTL/DAD+mXnCZhFqG0+WQZRQcAxKOXWPviOslc1ASvk+KeU9Usp7pqent3SOliLPvM4khvPfbBFmP0We7yLy/oocuhsreU89NXA7qXXWSqbIM7vh5r8FwLSr/OmK13vgZYP4EAaeYRDV1OtrXoQwfErGNEiDlU5FbnV65Bsr8rTiEpXVoPOikIpu1jbugq9z1+M0bqnzwdZKQl4YXF++nlSmrf4wD194GEMYLHlLfLCpinxMvTGBUSq1/PQ0nKBp5ZGNGuM6na7a4YW3iLysO8Lpv6ngZabI1b1c9dVKJqlU9KF2l0eeKXLHNPB1X5mDpYO86SVvYsQZoR57BFZbkecJeWFpcO51i8izzTKyvtgi6Uo/BOWRQ3cueZZ7/0LlBTZCvLSIWc5h2OpzysrGIkgGIcIUmDpDq6+1MvsY/MW/aVeqOg6iReR5anrSvEV35OxFgi3S1MFOc2qKxniOs7eOqLTYDkWeyJCpktNzs43sGRjNjZIzcz2tlaRSgTTFyqdKkfdRwVkxkFEuY06MU2jGFGXKOEbvwqb5Y6TmKEmlShJbUJvl/U+9n/c8/p7e9422tZJ93/0E1JXCnrRWMk+YhWNq44EX/bD6/zUeuZcVkMT69/mxvj28M0XemYI487afZfn3f7/v9XRZK55PXZcMV7SVwoE7oHyAQ4F6YKtu76VgTRPhYUs9DM2q8rOrXgxGwIgzghnntSLvDHZqj7yDyJs9qjtlFJHWY9xiXh8fUCkpb3msKfFdtXzv9EC9Ab3OPZlQECaHyoeAdsOvhy48xF3Td/HGF7+Rz3rHeNaxsf0mWBbCtpmpq8+VRpM07QKiUWdM3++K19HuNcshL+sMJK+dTuis8chX9QIrI3J/UbZWZmr5qxW5bRCm6jMVLUXAZbtMPfHxzTIJJtKwKJoxpxY2UOTNJkZJBTsB4qwc3Igp9vDIQfVbyZBNkn0zfjoQLy1hjeQx9ISU1jZD5IEqN9Dk39da+dx/hsf+N+mqCqCa+6YwsrFk5Wjofka3FNT3MFCRj6qxK4TgD/7DXTz8Y0dUi4ScGnPFxCRIAg5PFJjppcjDrM5jjJyZ62mtZDaTlU8QpkTGfYi8mU0uJazJSfJuSjmWTEijt7Uy9wxx4TYAkkBA/SIPzj7Ih499mHqfjVcymy9bgW1UVX25sSNELoS4H3gYeLEQYkYI8S82es1WkFV2ttIPM3/8yGuVQg16Wyt2VmRTPtBXked6KPKkWm0RRC8kHdZK6rlU9BK1RUqladh/BzdGqgF+P2ulqoMrh4vqganXMyIPEabPWG4EK8mzYhiqIAhavUygY2KjtyKPLl4ECdWSkuF+HFLVvarGGxBoRd5ppzTjAdYKKXlhtnqnzzZmqfgVji8f597r7uXnXvFzlEWBX5+axPIbGMUiQggdGBUQj+PaeUSzwbj2v7uIPPuOMiL324o8t0aR1yJVsZlUtJ2yECCbFX18h0duGQQZketeNaPOKPU0wjN12piVY3+BgYo823jZKKpgJ0CiqyGF6GGt9Oi3kk2Y/TJ+OpEsLWOWbUReWT+y3n+fygxp4CNMMLSV0dNaOf9NOPdQ1zmtySmMOCGUFhgmTUtNBLfmVHC6FwkmOssn88gBVvIxuUJZBd7zbWslSAIOj/febCNT5JlH3kuRZxtsvFCMOJmz+27dl61AMo/cAMY9yWQqu9oAqA8vYf4Yka163id+CrUL+IlPmIZ88VzvNht+lFKwzba1stX22juEncpa+UdSyuuklLaU8nop5Qd34rxrYZkGtina1sq5b8DoYbXxQH60p0eeswyMzH8dOTjAI9flvHrfThlFyDBkcW7ABq/VTo/cI5baWglWoTil1POBO7kpPYdJ0t9aaSpFdP3YEQAadeXRrbhNhEiYKo5iJbkeiny9tdIrlzw6r1oILJbGdSvgiFoRpNCKXCveTjtlYEEQKXlhcbB0EFOYzNRneGTuESSSew/dy6gzyutzP8BT+RxRdLFlQcw2ZnHkBCUnR9PKI9wmE5ki71zyrrNW2oo8v0aRR1icW3ZbE66MJcFcW5FncRXHMolS9d2X9ObQI84IdWJcQ/tMVp7pfDrQI2+l6RVLrc/Vqu4Ucdv60Sg4JiM5q8sjvxQib6Xbaa9Z1jfeg1JZKxLDBGFbva2Vr/+P9meqqXNaU4qww0SNsYaRYEnJPhwcw2El6BXs1ERebm+s0IyaFO0iQZxi5NWKpJAp8vECs5X1vei7iNzoHexMdM+U54sJoUXfdOG23aM8coBxVzKeJuutlcpZCOtEqd5II0xIvQahFkmfeeEzPd/DixJytkHOMhACTtX+mp/+zE93B+3XoBHEPHRyaWAa8laxp6wVgIIhFHFJqQqBbny1+kNupKdHnrfNdlFJ+eAAj1w9gJkizx7YczOL6wOgX/steOi9pNVujzwlC8DVoaRJ6MBLyRFxRMz1V+S6UdbhjMi1NbPYVIN7ujiOneRYNs0ORZ7vKgi6qXaRSa/a06sLz5wE4EJxin3lHEEckhoCOVJk3IWnz83wI//jazQCpSzzZn5wrxUkBWFhGYrMZxuzPHzhYUbsEV66TxVSHOEubglDkmS11TBrtjGLLfdRdEyadh7DbTKWZtZKJ5Fn1sp6jzy3JmsF0+b9X3tB7RU5rTdDuOjp4zvyyC2DSHZbKyN2mTqSpijhmAbCKjDhSM6ven37Znf2jjEK6jxZ6p4Q8TpFDson70XkfdsbaEgpNZGLFiGmjeqGZfoyCDBMqa8zv95aWXwOTnwaDt+jzllX48zMiDxW7+UaEdNBwsL77+eAMdZbkbesldHW79zYpWAVCKIEoRV5MVZEfmi8gB+lrDS7ibqTyDeyVmZLKbEJSSJ73ouWR14qYU6oQq9RFybimHpY7ybbeRVwjoN2y+Y0NAj0+H9k7hGWvPW7PGXcIoSgaJtc8L/Nk4tPsuz1F37fnqvzpg88wuPnd35D6D1F5HO/9uv87qd/VRF55ZzqZ3LjveqPPYlcKzKvonaSKYz3V+RmpsjVwIj1YLB8l//zxBrl9NSfwolPqWCnpYg1dV2k0AG42GuRULr/DgBuF+ep9kk/rHrLCCk5pIm8rgfOsm4HemBkHCd2uoOddhFiD6TEj1Le/siH+WfHP9vbWjl9EgzJfOkA5ZxFoIlSTIwx1oSF6hLPXqwxr3eH2VfYNzj9ECjoCSXLJX/4wsO86uCrWk2PKrHDDzU9ROyTaltgtj6LmU5Rzlu4dh7D8yhIiZNKqkGPYGeWtaIVeaBXWOrGqs/5+pffyJ89Pou/vELhZS/HyNv4S0AcrlHkBpFU331mrYxYBWqGoCFKyku3cow7CUkqObfS217JNl5WwU5lrdihJpMe1grooqD6+hTPueYccdrfW02bLtL3sfIg8uq9ZCy7iqR6QQYBQhfyGAVnvSJ/6D1qO77X/jv1Pg01zjJFHqVqjDVFwF3nU6of/wKvOG8P9Mg7rZVG1KBoZYpcXXchNQhi5ZED6wKe1aBKwSqQM3P9rZWlZUQ+z4WcJDaF4vAeue1phyJnXE0wI55ksleG1PwxQBA1OizV0CCIfe6avotUpnzuzOfaf2s0iC5cIIjTVqCzmLPwEjUuBrUyyCbz6fL6jW22iz1F5EapxJhXww+Ttj/eUuSjPYKdOovAr6hAp5Xvr8izzopaiTWqaoCWIp/f++qp7oKO5gKEDZJaDWu/bvLTbE8i1TRs+bvN0VuIpcHtxrn+ijyoMJKmjGrPuaF9vKwX+XRxjFzi4BkGHlpxd2z35kUJE0GdA+5KH2vlLHYxoeFMUXTMVutac98+xhuSOFIDf7ZW0e833ZfIoyQiFpA3FDkfLh/m2eVnudC8wL2H7m0dtxJZvK7pko8kFcMnSAIWvAWMeIpyzqJpFRBxjExgPE1Y7fQus4fYKast4/zM807X5ZHfd+8tGELQWFzBnBgnf+SAylwJaspas9uKPNFEXrDUvRsxbBqGQZ2SGidWvtWLp1/f7FYTsFLbWsln87OI15Xog0pB7OWRJzJhwR2QFaUbRFmFFEP78WmCGn8DkAYBwlDj2MxbXf1gqF2Epz4K3/XTMHEEAKkncHNK2RCRtlZcfKY9dZ7pINdXkQvHwdAtAPzYpx7WmS5OE8QJZkEp8nxstKwVgNVPfYbVj/5J6zzVsMqoo0i3V9bKxarH8WOnsfZNMW8JIhPSVEC4fpy2gp2lEpGOUZQ8wXiovv8ue2XuaZg8SrzYVtJJqK71jqk7uG3iNj57+rOtvy39r9/h7D/9Z3hh0hIJRcfE19/poFYGWauGLAC+k9hTRG5OTmDKFFmvw+IJZTNoxTvYWqmqXtVWvqViW0hi+Mh9TK48AbQVebOizjWaBpxcaPD547o0OonAXVGd/apV7P2KsP2OMugqSUuRNxKTU/IQLzHO9fXIa2GdsTSlPKKyQOpaMaxqz3+iMEouVg/KaqZAOjaX8P2QYhywz6/R6BE9Dy/M4ZRiXGeCUs4i1Irc3n+AMRdinZ45r5fY+6TAjd2eFY6eTuEr6JXB4fLhVs5vJ5Evhxa3RRGlwGBB1rjY0Lm58WTLWgFII4OxNKXSlUeepcA5UJhoWyudilwT+f7xEe571fVYzTpuvkz+lhsIKjZpfZkgTiklAfPvehejzSoxAQWrgCHUOUawcA2DisyrcWLnKZvq/vXrm91trShSyuvLVcHO9e2L9q+xVjonydnGLF8/uUTSoxAtsxLMXITIbJxEqH4rAyA7iNzIGV17avLEH6n7e+/bIFfWn0mNXSvrzZJ55GmDSVdd12Rg9SSpVPciz5BNTAeKBwiiFDO7R5rIr9eKPPfAJ1n9//6w9bpqUGUsp+pBehUE/dE3znHx9CzJ2ATzpkVs6nvRo94hbTZbk4uvawGLHkyGPVTzwnHYfwfR3ByW3gA5CQVhGpMzc/zo0R/lycUnOV9XcaZ4fp54cRE/bhenFWyzFUgfpMiX6gFCwGRpcN+brWBPEXm29DNqFaW+c6PtLmX5sXXBTi8jcq+CXxjjN6tPcdE020t3UM3kn/ssk0tqT8LMG23q5km50OfIZJ7f/cpJRWzNJUBC5JLUaspXtG2aet9CmVpUDNEi8mYQ8215A3ca56m4YU9yrIYNxlIol9SD1NAKOUt9miqOkk8UQaxk3nXHdm+ZDTTp13D9Hop8bgm7nBA4+yjYJlESYRkW9vR+xpoQ63MuNNVnmD71VRKZ9CzKyLaGy5ttRQ5wqHSIG0dubB235BsIoOwbXExXObFyQt2feEIpck3kSSiYSFKqYR3vqadofO3BDv9b22FeW5GvLQjCdHjrqw/jpDHfWIrJv/gWZCJoPKuKPG752qdZ+fAfcOjkU6T4LX8cYBRlpy1Iq6XIrTRkeiTXN+CZ7dFplIqttgO5bH4e4JG7YdKyvbzYw9ErmsdmT/GPP/AIf/X8+rTCVrqdE2IUVJwhTQQ0BqcgKo9cE7kjuq2V6nko7YPJm9WKh/Yqw9KKPI61tZLUGdeO0Lhv9rZW9O5AGeZdNckcKB0giFMsTeS5WLWCGCvYlByT0ZXnSRfOtC9rLZGvGXvfOrPCeFAnGikzb5nEJpDSM504aTRawVcvXMJzIBcXmNDpil0TUnMJRg8Rzc2Ru/3F6vMzii9jHNPhR47+CAAPnH6gda+k7xMGYctaKeUsIk3k67JiOrDYCJgsOj0bhm0Xe4rIzQk10MzaqlLfuY5uYz0UeZB5pH6Fp3MOf1g7zlsO7mel0VG5pdWRrT2uTJH7NTX4hZS89bsP8+RMla+fXG4va8OmIvLRUYxCAS8L+sRlXMMg0ruQN4KEZ9IjXMciN6Xne1aA1RKPMWFiGzZ5YdJIYwgaLSLfVxijoFXSiiZ5rIzIPbVCAfJJSFTtnszSZpOk7mGVE6LchB50EbZh4+zbTz4CQ+e/L2tlNq2zgnpVd2a2QN5Uy8OMyO89dG/XTuALvlYrIbiO5I+eVZtZxL66Btdao8ijOovv+Z9c+IVfQIbZVmXdirxXiT6GxbTORnloMSK8+VZ1nc8cpxy63PSFT6jr9ZsII6TQQeQjek5dwlDjxMpBrPbXvFjtHUvpUuRrrBVhxO2JpgNrc8m92OOmsZsQCM7omoGVHm0BsqpOy/YRRUVMMhGbsFZ8hA52mrbstlaaSyqjClrPT+o2QQjMCdXMLE1VYDJIPcqeOk/ZlTSixjqlnNTqXf54RuT78/sJkxQnZ4Ntk4sEYRIihOD68RyO3yT12yvUWlhjzFFEvjbYGcYpT5yvMOnXaRRyxEJoIu9jrTSaLSJ36xepFSEX5RjX+2W2JiQpIaiTUiCtVsm/OCPyMSQq6H+ofIi7p+/mS+e+pD5vVjPg+y3bruiYhHoMbuSRT18GWwX2GJFnisGu1zSRt5d0LY+8I4rtx9oj9ypUtAI849j867/6922S0gPB0pZBpsgzIgf4O7eOcGA0xy9+/Clmz5/Rr2uS1KqKyPN5Qr18zUeKYCt59ZA3g5g/Tf4mvlHg562P97RXqknAqFZoJTNP3TCguaB6kQOj+RFGdcfh5YzI7Q4i7/DnWe6OsIczKjMiKTsU8jkKjkmsiTw3rWyhnKsHoa7CnNIDvpdPninyoibyWydu5XD5MD928491HbfiS3xp48QpRrHEE4tPYBs2UVSm6Fgd1opgPEmoRiqIlKyuErygWxyYjl5pDVbkWephxSpyYewwhpXiP3eSv3fyq1h667aC3wAjIJ9NgMCItjOWU11sZqkiq+vG8lys9i6I6mWtZIo8Z8muySzD2lxyL/YYdUbZX9zPnKsC6b2C1PHSIpgmpuFiZEQurXZnzT6Qvt8OdlpJ17ZnuCugRQamDWYO6bkYhUI7nTKxWoRU0BNy0dVqdg1RpfV6q2EWwLxOpR3PqdhRzjYwcjlyMa2q4XtKi8hIb8ajV9FrFXmQBHDsE/C738vTM6vEYcRY2GQ1pz5XbAIJva0V3TALoNmcp14AK3RaVcStzxB5IBMiV31nuVtvBcMglMXWdQDcNHoTi96iPrd6v2IctDzygm0S6/hLJagQzsww96u/tq5gaUjkGuakUhK5RrW3Ikd2fbEqIKE88opuAPT2pRVOVJ7n57/882rWj9YQeabI6+3zWL7HB//pqwjilN/9jAqyyiRBuh7GmFLkkV6elmOdtaGJthHErDLKE4f+ET9uPoJ/7q/Xfa6qjBkzdQDOKtIw1PLZjRVpl6wSE2SKXJN2B5HTsZ2XtdpN5NGM8vbccomiY1K0TaI0xjZsrH3qgc7ritNa0KQgoawHfK8UxLYiV+Q06ozywE89wKsOvqp1jJSSmh9zkX2YccqBKdWr41D5EGGsAo9+Tj0sSWQwnqZUwgbRnFopNZ/QnQk7rJU4SYlTua5EH9Nu5fPXnSKLSYH8RETw9En+7qmvUXn138QcGyPnakVudihyncWwmuogqlbkB8fyXKz662ywB04/wJNn1PdvlEoI0yR1bPKhOs6xezdcW7t3pxd7FKwCh8uHWfJUVW9vIl/CnJxAxC7kSyAEqVHqInIZhq2eI0/NVHhqptKdfmjFpI1G+7O4S1CcbL9Jrkzq+boJWEbk7VJ2x9ckV9eVtGt88qTRWKfIR5wRTNT4yFkmopDHjmRLZd9jPk8aC2QqSBeUZVkJKozm1gQ7Zx+H+Wd48tQsY4F6FpZySmREJoi+iryBqYvfXHeRWlFgttG8RgAAIABJREFUegILGLPLbSLXK/i4rsa7dd11mKOjhInTug5Q9QaZ3ZnZVPm421pJaAdSVz70IVY/8hHCNVtALjWCy5KxAnuMyC2dE1po1rRHvpbI6bJX/FgXkPhVKnpLpr9bb/DLL/sZvnHxG/z5qT/vIHL1M1PkUYeKSep1Xnp4jE/869dwk6POn4TqfOboGKJYJNFbZY3HauBXdF56Q3vWF2//51RlkYlv/lbXZ0plSo2Usaxs3BlRjbMa8wSpi0UB0zAZMUwKacpKVqXaCna6iA4idyrLREnUypWNZtTSfbU0QsmxKOYsEhlpItcTo14lNMIGxTSlqB/6Xorci9q55v3QDFUK36qcRgCH9qkl6+Hy4VYjq1ATuVLkKQVfIvUuNc2nVJOxTmulc3cg/QWo7oiG2VLkNafIXJAjPxmRzK3gJBHVf/h/YYyP4bh1SkaVYmO+1RRpRG9eUZVxyyMnDrhuLI8bJqr98HOfg1NfBuD+E/fz9PlvArSzSHJ2K9jp2L2r+7KHd6EHka+EisjrPWIbydKyCkDGHiJXRuTzSKPYZa2cf+vPMP+udwHwzs88y3/59LMqayWzVowA0rSVNom7rDzyDE6Z1PcxCoWOgGqbyO1A3W+7rr6btQU12X6dGeab8yrQ2doo28DIF7CjlCAJkFJye3ScVD8n6cXn8WKPKI0Yz6nn2zEd4jQm1ZbaM2fneGlB3Z95J4ufGBh9FHnSbHvkTXeJegEMnX0zYZfbk1G2jWJVB/8PHsQcGyMJdaaTpseyU6YZNUnSpBVPKMZ+O9jpmKSo77bWXKH2aVVEJP32qk5KOVTkGYTjEORL5Ju19Yo8n2282/aIvTBlzAxAJqwKKBoODvB3D76Gg6WDfH32660Z3dRKM6vs7CTybDl1w2SRf/IyrSR1H2xTK3LpqRl5v359hWyzh5jvP/84t/2Ht/Lh+g8xOfOXMPNY69z1sI4UMOqoz1LOj1M3DNL6PFHq4hjq/QpmymSSsqJ7UmBnGzB7mG7bBspXV3jbF9/GOx56B6CsFcOGRWecUs5SwTiRYgqrpcgLbooQkMZVXnYmYfxTI1ix7G2t6MFfsPoPyKqeGJqGUn5T40e5rnQdt03cRhin5EyDUOcXZ4p8n/7arP378Z49q/pCm7bKNoo9Al9dSxeR66VvRuSNXIl53yI/qR76L974SszrD2HKGted+xKHzYuMrpyCryjiG400saaeWibbKqvp4Ji6tvmqD1/6NfjYP4egzoq/gnR91VzKViukJG+3rBXb6q3Ix4s2jmm0cskzIj9UPkQjXgYSGsF6yy1eWsKamtAnL2LkcqTkuxR5ePYs4RnVErfux7hhorZ2MwHDwjDUe6bNhspd7LRWAHIjpH6orBWdKiiTdk8SUxO5oa3Git8dzMv268ww72ZE3p54jXwOO1L3JkxDDlefVmXFQDp3ipoWJ5lHngWCQ03kz52f55Wj6nzzOR9LSgq5PCJlY4/cX1VVzPreT1ilDkWu3jeq6s00Dh7EGB8j0Y3Ycnr8l209KcTNLkXeSj+0TaTQqYVPzrRWiGlHe+B6EBPEKfuGilwhKI9ScnsQeeaXdyjyIEoYF3oAipQJ/YWIOOA1h17DIxcfIdaDKCPyUCuJLDsBuntV5AO9I3dLkSsizzaYvUlvEFGJ9GbKQcyt1VmM1RWKT3p8enQfP/jFf9EavLWOijaAkfwkDcMgql4Ew6dgKq9PEXnCSpam16HITX2tqRAUays8Nv8YTy2qXZOi8+exywkL6SjFnEnJMUEkmIaFOTFBChS8lBsmitjU+K7nwVi0mWj0sVZ0ALbTa16Lmiby0FI+aeLk+NhPfIz/+2VvA1TOfpwp8tBgPEnYV1MPz9hP/iSpH+ItO8rqKCgiCxtKCXZZK7pdQUbk9vg4S82Q0pEczksP8IcveT0Hlx/BjOYIkyKzYhS7fD08/afgVxnRJBBJV+V/dyhyQAU8/arKbPrG77EarCL8oGVBAMQ5sxXstK3eFZdCCFXdWVuvyCUpwq62Vm6diJeWsCaVSsUpKUWO02pzDGqpn6lEL0zwwxgZhMpaKe3HFOozpvW6zv6R7WAngFNGaiJPEGBK6FDkZhZzrDUwUtllrcgoQnoexugaIi91KHLbROQLWDrIH9QuUqy0LYd08WxXVSe0LY1AX0PkN7gjpxV5zmN/nGDYNmZCa0XdiU6P3Atq1IoCwog0FkyY+fZnyKyV1Sbm1BSG42COjZF66r1yutJ5RIusemOlZWMV4qCrIAhDfbd3Ptq2NrN9UKGjGGioyBWikTHKfmMAkbfzkf04YUwP5FUZM66JnNjnNYdeQz2q80xVNbQy4ixrRRFK5+7oSWf6ls7hzawVY3QUo1hobZF1VEevs8HZDGImtb/3vbPP8OnqOAskHDujlutZn5WxvFKvZWeEhmkRVecQZkDBUgMyb6ZMpikrWXpTR0HQpKfOYZclE+4MYRoyU58hSiPCM6dxSiFzySglx1I72IgYEwthWbhFQd6T3La/hG24HFpSn7/k985a8fXvCrpfSS9kilw6un+F9Bl1RpEyK84xsWyL1LFII8FYhyIf+8mfAAHNeaftkQNxUz18WTdD0k4iryKKRcbHSizWQ6zxMUZ+/EaWCuPsW3gIMycIxAS+AUy+TD38T36Uot/AkBBLV5XyZx657iE+V/VbK7zo4f9JNahi+3Er7RAgcsyWIrfM/o2Tpjv27nQjl6JVbHWP/EDxPzNZe7breCkl8fIy1rges1qRSxylyHUcI3HdViZFM4yJsx1+DAnlaQypibzRUP44dFsruTJpGCOKBcIkxbAkMlYWimVYGKFEZ2ky7pld1krSak6lnsMojVj2ljlQPNBqbDcSr2I4VpvIZ75J2rE9X7o0s47IsyBjqNsRFwk4YityXSi4HEhiDDuHIQXSX98QLG00WimRzaBGXT8qSWAwYebWeeTRSg37gAr8m2PjSB0zyulzZ4q8vtpeCRXioJW1krdBGBElH1727YDCPar1Qae1MiTyNYhGxhj1a6rUvitrpdsjj5OUKJGMooinkgSM68ox4oBXX/dqBIKHq88BIDRBZcFO6Xo0He2DdhZUNBfx7bG2Rz42rhWH+vKvlw0c2V6CNvyYqahB7vbbmR0r8w8+52JHkudm1YbRVb3DzlhBPVxl5/9n781jbrvO877fWnveZ5/pG+/Eey8vyStKoiiSoiiJkhzLseMhHuKp9ZC4QOsaiOEGblKkaYHCbtA0qBHAbWI7TdKgMBJPiWPDteImcpAmGizJomWKFCkOl3eevvsNZ97z3qt/rLX3Oee7V21R04EFeAMEiPuds88e1nrWs573fZ83YiYF9WwPIdN2EAWyYeRmEDaMPF/wdclnEVLhdnIeSa7qW1QlN0fXyG/cxO2VHNLXwU7XQogKKXRQdh5Z+LHgXds2lkzY2deTLErVgxm5YUDB/wMjb4Dc9jSbVqV+J038wbUltiWoXZuqkAyrmq2porYt3AsX8M9uE+95GqgNI68WeifUeKccl1asQZ/trsfhIgO/3xqlDe58BmtzBznXWSuEZ+DU0/DCP0ZmEyIkJQ0jD6DK2Y30AnFnnOjx9NifY2yCzH4OKlzGB3JX0Cn0NdlfhZHDsndnVev8/MAJ2tTNqVPw0Pyltc/XsxkUBVbXvGc3RPg+dW3r7knJiDrPoSha6S/OK+pUj0Nha0YuXQ2gP/vJ/1Hr47Ae7HQj6qxCBiF5qYFclDqzY8MZIHOFHenF/WQVrWWtrJbn/58v3+HVvZso1Jq08ty//0uI0etYDZDfeoGqXjYgrw/vtBa2q5WdAJmZyyeCin6VUEvJyFuwW1ZYxh5XJev5/nWeo/K89feJiwVpqMd0mUmGwmWcjnXw1xCs8mCMffIkYDxjFpqMeaZ+ITL59vFkybaDMmudNR1bLzLfeKmDU4H/vd+hryVZSisH8z8F8rWj6g8YmBfwwGBn40VtBlIX/dlRFTM0Kz5lSt/r88TWE3xmdhUAUawHO0lj5mFfZwocY+RpdJaqWNfIHQPk2/WEsLbbwoB5VjHM5lgndvjH3yI5MYYf/kzF66ZAZmoYft+U9HedLomAanEPIdN2W+dZNcOq1jqtUktG/vv/iO38iCII2D/5FG6yZIU3X38Bqgq3W3KgekuNnAph0hnjjo2fCN45VPSTnMBkKXTSrxLsNBq574T3/a05GmnFM8ErUemJ2iySri1xLUntWoaRV2xNIN/qIqSk8/gJ4kOXOqvAH5DPLIoX/sD87kr64Yq0Yg0GbHZcPWG8HjKfss2YYPQa1qlHEIs5UlXYwof3/6iuDL75Al1hoWSiJ6XR/V0KtiKXw8lIg+a5D3P06J/Vv5/TescAZK4gLM2iLr86I98xfitN1k9oh+x2dhEKbtk2W9l6hkPTtMQKzW85HYTvoWpz/4t7raTSjM8kr9rGy1IqiHaRRre/ffdNU8zGMY08oi4qZBCQFxWWXUOpOEqPOCkGCMDpaqA6WXTWgLwxzCqCkL/8S1/kl7+om4k00sqQKZ3pW8j8sI3j5HdeRHUfbc9Rj/db0nNcWsmN/PieHYdqOqUMOqR2wm61AuTxMSBvLRQMI68SilADbpVJhliUqmRWzJYa+b1DnBMn9PPu92GeIGqFazT6rqPnYDJZ7kaCMmvtGCxbz/2PfLni1gakTzyiryVZzp/9Wcaj4iaP/NKH4MonebuPrzkgV/0hvSzWVfYPCnaaVbzx6I5q/aInxaKNijfGWR869SFezvaZSoHIYxxLtGAj04TCD5CdzrKgoiogGVENzt+nkTumW8l2OcGtnBbIF1lJL5txzZ7w5QsxL737Cb7583DtUOcPN86HvUgzgmb1z9IDsFJ6pozaFzX9SnfxmRWzZUHQ4ZvcLTZIww0mp96DG0vOm8DZ4Ru6utHrlhyohpHbICoExhA/cghjeLRbcfJwGXDrJYpFvj5JANIyRiiFZ391IG8YeWDeiVXpZ5GvBMAcS1I7FlUh6daKzRnEG/qc4cVdqAXxl15m8co1rnxim+JnfxG/zL4qI7cHA7Yij4NZDn4fK5/xYanv3zr7BEIpwgydFvfu79H56VVGV7oImRC4UmvkZnyc6PtMR4bBel2Onvw+/R4KRekvy/BTx5ToKwvruLRSZnBPSyY7XZ9RXDAxumtgBzjSoVe73LZtdst1J8QmYGb55n7dEOn5urITYH6vBfB6sSDLS8paoQyQC0tLK5bxJLeSnLwp7V/TyLuoQiHDgCxLNfAXilE6Yrc2Yy8ydgiFvyatNDvVI9Mm7zDRY3kn3CEra94jtWwpbIk0xlzpvVep+xeX50jLdlfazE/HLNC52SU/vmlTT6ZUnQ61rNktK+wGyLNjQL5qmAXEVUppdlgayPW8HaW6qLAqNFFzThogH/TbseKbHUwzJ9PpOpA3pMKycrbHinNX5nzyCcnE0vjS9EJNyoT9WcY75G2s6Y1la8q38fiaA3L6QyRKSxurQN6UG6cTrk6uth7doVpQAPMyZuCbDABjnPX8qeepUfy+70O+wLEkhQEbK02pvAAZRcuCChNkcjYfpsolytWdb0QY4BUlKEVHFViVvwLkOVEy5wv5m3Sqd/LqhT+DVUN8FFNUBRPjdNjv6m12I6XkxRFCpgwMGLqypm/0+6PkCKTUxRxejzezU9RhB7a2sRR8sNxlo6pIvqL9YxpppeParbTSAPkicokW0JcJJ/eX0sAwgSRZTzUDSMsEXymE/dX9IqZJgRDQlRp0nFLfY3ZMWlGuRV1YSGBnCtOBPmf4cB8hFft/7+e4/lf/O4QAasVj45vrWSvG76WaTLAGA7a6HklRUbo97GLKR62Xqf0NrIfeqZ9tAjYeuCE89RcB6EgPrLT1WtHjI+VEL2BhfLrx+4wC/R78XAc4myNxFF6hQNlY8pi08vKvw//6EZjvt7nktw1AN9LUdiG45VicqtYdNlvZIjD364QIz9Puh6CBvEk7VYp4YgDN7AyFhZFW9OfDDKZNRfMqkHsRdandFcs8QdgKUdYcpofslKYwpqsX5s3MXQt2VsaW4l6tF7ZRpudH47PyHmHiTw8/hzTEKq8z6ujc8j5LwXR2C8/y8M1C2korprjqsaHUjLyj/75bljhNsHyxHsdpGXnUgXxBrGromk5OqcXQPL4GyMtUjzl7d4WRo8dKcagXvmZXnE2XGTtBlbfSCjLnmUv6xJ95l2Bs7JLrJOWl/Zd4/pef5+rkGu/xjca+udyRvF3H1xSQf+rmp3jD1jnGVXoMyKUFbpdPTN/gu37ru7hpVvmwmrU53UPfDGCzvX1y+0k6wuL3Ah+KGHeFkdt5ivIDrG7UTqom0BmceJQql9SeHgTCD5CAUwkcoK7CNoCjxhMsVXPXS3nY+l7umHZu3YXi8uhNJtmYsK5xjGVrM2gm1AhZsmEAxJM1PcPGWlb0gR8j/vZfwC5q6rBDumH8T/p/lvO1BVcuY0Uelqs4UDprJTRZKyijkXcC3FIQzO9x8kBr5sKx6SeK+AH9DZMiJlAKrK+u9U3Tkq5nY5tSe88AeauRWw0jF9SlRAmXwUxxNLDMq1QE2xXpSy8RPvt+zn+T/v7jR9dWslbKNWlF9vtsGjOiWEa4xZQPyy9TnvsocqCZXpSCNIUqPPufAtCxQoRMTEHQEshP9n3SuQEtr9c+c7+AzF1Om9iucPMaVVtIeSzzZHFP2+0evNFe254BvwbIT5UFt2ybk+oelMuy9KaNoOUZBu52kL6HapqIrEgrALHpkOQ2FsWWgmgHYStqIMyU3v250XLBApTToS4F0rPJ0wRp15BXjNIRW6X+nNvVvzlM7bX0w4aR3zZFcLPygMAO6Lk9srLiSXmZfHABceZJRG367QpBFZxa3mchGM/vtvo4rEgrBshPdZQG8kg/w92qwva1Bp5nKwWAZcLf/4yu07CiCBYHxFIiog72qZMkRwHDhgylR5DNKApNnBpGLhsgT0GZRtdNI5J8tkykWJVWhMzoxwolYH8AR9UUpKROE145fIVSldyK3+Id1h3oPwTuV08U+P97fE0B+SdvfpIvlLqyrszkerATwOvyWrpPrWquGQ8Lv5oxCvTLGQQNkGtG7kiH56w+vxcEKBSRVbZeK06eQhAgO1Fri9mYFTlbj1Dlgsows9zRAy/KbQSQF52WkcuxBgC5MeShzuPclPolbszhjZuf1qXJdd0G9Zpt3F2z2m+aa3dFhZlPSyD/c/8D83PfRKdIUFGXg65eoHazDc4/9GE6Rwo3mFPaHVI8w8htA+SmYCkyzObai5y9p9jbDJHdjpZWjuUMgy6z9mu17FSEDuSsVkFOkoJ+6GCbqH1Y6gVwlZG7lgRHUOWCMveRCg4a85MqZ+vpiq2/8l9w9h/+A9ztCDEMeMfo+n155KquteeNYeQAc9HBqRJOiBE88rEVlqUQyixAW4/Cf/JxnOE7EQ0jb3Ljy4wTfX+ZyuqvAHkOqbvMuljYNU6mgVwc18hzAzJHbzEwWveB8bNpgPx8kXDPsqiFIj9YNmNu2ghahlFrRu5T56WWlFakFYDEmLy5xt9cGiCfWZLUgyCDSby/zsYBZQWgBNKVlHlipJWSuIwZFoat+hUyDOglugS9qpumzvpebphc80WlM1aEEEZauUy5+16k74MpAMo7W9T1cjdXl5LX5zc4b7z4YZm10jByq9ROo3lHj9ndssIJjClWugTy149e5w+v6vZ1sgVyQeBGRB/+CIs7NgOzYxlnY8jnlJl+D/YJE+xcGSu71QjqGt/ysYVNae63cr21YCciI8yg9H2UEIzzCdL3UXHS9qk9yu9ynluw9Rh/HMfXFJD7ts8o1IOoyo4xcgC/x1WTv71nSp/9csY40J8bhqbjzEpziecJueXYXLdt+lamO38rhVdkiCBEdrvLDiuNxtg/Q5VbVEYjS0wzha4JemVVn2k2paorHLMd2zr9KIPQ5ZphhFtTxet3v8i0WNCvl8HLJrByxzSs6Jl7dEVFVOmBs6pTpkVFp0wRnQ43Q80ge2PB+dMfYPsIRK8gMz0XO55F6GlGrpS+1kloovuXX+b0IVwf9rB6fbopxA9oPJuUKYGqW336aJHz/N/+t0ubX7S00vMdrCylFtAx1YvLaj8L2xLg6MrOIjFZIpFhtFVO54zN9o//OMLV1Z1y1+cdo+vrplmWSz3V/jr2YNBWUE7VUr+3H/0GrP6SkbdADvDwR3GdDa2RrzLyIuFk36eLCVZ5XY7SI4bSJ8ghsVda61klslbYpQXiGCNvilWOLjMM9T0exk1BVUCVpzxWzlFCcNe2yffebL9am2Bn00BZ55F7WncNNyE+XGPkLZA3jFzqrJV7lkXsamllko7uB3LzPKQtqQyQq1yfo5+ZYJ5TY/W7RHGNQrVZJk2/zquZBtxMjdg1fWfF4h6nxBH1yacRgY+oamStyC58fXvdMzdkUQe8nh/y1PZT7TUdZ+Tk2mk0DQVCwWZV4/pGA8+WAcVpPiU0bsGyE0F8wEJIOl6Pzkc/Ql0Iwit6jrx470W+nOwxTh0QAsf0FbBWGHmoSogPEEIQuVG7cGb9DZ1+KAqY3aUWGZ0UqrCDK7X8JMKQOk1bIJ+Xe5wqb8DmnwI5nuVxaKovyuPSCoDX5WptLFlNENEtZ4xcPbH7TbR+pbnEh0wq1OcDn55VUFS6445f5chOiIw6S+bTlEZHu5S5RWX6fC6EPoeREonLITU1s3yGM9cgdubsE/QDh0UlkBsbnJvWvD55i0kZ02epuTaM/I5Z7RvN3BEVnVLiSJfXj15vP58UFZ0iQURd3rJvUwkQB2POy20GMcxObTIJdWPZ0LUJHa2Rq0bXDPWuZvHKFewaXutuI/oDOokifpD7YZXiK9UC+eE8I69qXr653HZOkoJ+4ECSUNo2fr2AdLKWfuhYEuEoVAX5Qp/rRmjybstlIBOAYICzLdlKp9iHphjGZK00xUDWYMCm2XqPav2+r6gTyI1zWIOl7olal4Q8GSKsXFdlttJKxomeT1eY6zHSyo7VwS0htpYSyNw2GTq5fq5rRxMsPlwy8pFJlwudkPjgGqeNsdJN26LYXwJ5NZ2BZSGb33JMsDPP9aJfplQrQJ6ZRiiusWbQBUHb7FsWsQdhbjrVr+aQQ8uOhQNVboKdxtM+MtPEchVWN8RfGG8ak7lSz2bIMOTGxPRPFSN2OxrIe0c60CxOP400gUm3gPTxb6VexAjfpwg67FUeFfDUzhLI28pOA+TKOI3O/IqwckC6eMbWN82XpGySTQgaU8yoA4t9YikIvT6dD30IBBSvH7IT7vCbl36THywu8fE0J+sHmjCwDuSeUqipjl1ETqQXICFIuwMN5F/4+/Dzz1HXC83Iww4Df8A4HWtGnibcnGsgV9zBq5M/ZeSgGfnMkK0qte4D8sqNuK70YDswRTJuPmViGtcO/Q1Tvbd8+Q+VBbZS3LYtujInLyumcYZf5lidDlbUXWatzPe1nOMEVIWkMqld8xbIBZV0SSo9GEbZiI5JK3v0wvsYGFYmNrc4uZC8kR4wXnE+hCVw3zWMvAF2R1QoLD584hv4nSu/06YGJnGGXxXIbsTVxSXGoYM62OehsV4I7n30e/jEE38HgI5rY1sSISpqw8iPfP0M86satF4ZPEQR9QkzQfyANlppma1JK03hx5WVzvMTw8jrOCY3ZmVMbh3LWhFg2GZmrvWqZ8ydquNAPsTd0uAijM+4/szSMEunH2qQPjQ9Jz8vntR/M40PohSo14HcFmZAieS+rJWoYeR+j1E6Ykfo88xNFZ9Siqmlx5ufCy1ZrR7FkpH3A/28JukyayXdv8pJA+SXrQ7q8K32q9V0gtXtIooEhLbYbRm5HUCRrDHy3MRx3Mo8J0uBG3LgdYgbaaVY3MfIa7OgS1tRFZqRi7wApQgTRS0lwlZYoY07W++wU821he2tUQLU1HLSMvLh+BVqJbBPvxdhSv+9EvIqp14sdIelToeJSeN97/Z722tyTBA7EwKEpSWcquLIyRhUNoVwcb0GyJekbJpPCZrFJ4o0kAtJJ9jA6nYJTnksLk34re/6LX7123+Vv1t0ObkSZIeVsZKADWQjHWvrul1YxMgoInd9OlWO2HsZ0glVfJtOqij8iKE3ZJSOkIFPtSKt2I7JgNpaZuy8ncfXFpBbPrUU5K6lNfJjQYPbrk9TNDbKjCl/PmFkMiwG3sBU7y1fvsxjdqqKPdumK1OKSjGdLJAonChcz1qZ77V9JFUuUHZNWdVMTU52lCtKfxNVafDdX4wYFnuUEt55/v0MApMut7HFIHE4ouSmyuivGFAd18ib4KdDTYnFnzn1HcyLedtHMDVBrqrjcJDe4zDoII8OGO5pEL48rJiZRgHL4EyFMsGnkdvRrjAHNoUFN6JdUj8iSAXxA/ompnWmg51GT06NXHJ5BcinqWbkdRyTNrrz5Oaa/4ZjSYQpoMmOBKUvmDqFzrM+DuT+gKC7oJAW9asGyOtizcLW6vdxbUk/cLhd6oX09+Uz+n5tmyr0iBK1ps8C2BjvHJIVjVwDea9h5G6kGTmmVFsuS+1Tp/HlkCiO+aW0GvllXEsQeTbTlfTDcnSNHfP83rD7WKOlRl5Ppsh+Ty8GTghCID0flWUo29NAvuIHVBogd+oVILc89r2AxBN0UpgU8QOAvAkw1620IhS4JbhxTup3KIWN7eTYE/17h6mxqZjOEFHEwTzDchYganaMfLk5fYVL6hRu0Gv7drqFbi7RALnX61JUikfyojWNA7g90veQCQHdE63MdM+K2ahtMhx8I61k5fKZT7IJYaaoBYggQM2XjBwgerRHejfDn+e8e/PdfH2csT2BWX8Z7xGOQ+E7RIlAAOmRBvLIjRBxiowiMtcnrDI40u+rWNwizKDwOwz9oZZWgpA8nhGXMZ4VUDhzPc/+FMjBMxMt9yyK3IVj3s9XjNTRdbq+vXePAAAgAElEQVSMc70Ft/IJY8siciKdn2ovu88DUCTs1JJ7lkUkc/KyZtFsUzsdZDdCJYn2WFjsQ7SjPSZKkG7N4SJnYgKHUaGo/QGq0oPy7vyIYT5i1rGI3Khl5Hl/g8DMwUJAIJZA7lkeHjZPfd4iTFXL0G1KSmzOhu/mQv8C//yNf67PZbIbRq6ZZP4A++iA6tp1KgmvBSMWeYVrybYvKaKiqvT/p5XDNAShBDe3oCRg7gZ4GcTqfiOnpMpN1orp0WiyKK4eLNqAZxPsrBcLkqZwaHLjPmlFOg2Q15Q9vRhOsknLttsjGOCrGZf6Z8hf1kUnD5JWADYjlxerC/w35/5rPu8urXWLyCdKoa7WgdwyQF4Sr9kehK7Npp2SyhCk7o6zJfVvTCwN5ItiQWYu088E6j6NvHnJMczuMAgdZvmyMrYe3cBWgkD2uWYFeNMr7Vd105K+Pod5hk1HeiW0tLLKyEsTx/GMRi4dC6TkwPXIPUGnkExEfZ+0osoGyCuqPG0XVz8Ha56SBRHX5ENYco6YzLGF3Up71XxGaSSO81v69zf8bVCK3flXeIVHEEIgfVNoVa4DeWfYQ5YVT2UZmOQEgM9c0uQks1zwB22M6o6csqVsMuXgmWBnVqw3pwhySDzBOC743T98hUqIttl25x16EVt8RgdEZ6/P2T5SXH106d4IkHVcOomgVoJybIDciZBJhuyEZLaHX+ZwdBWAdH6HTgqp12HoDRlnWlpJTe78I933UMuaPa8L3RP8cRxfU0DeWKeWvqDMlkUZ/+rLd3j6b36Cy0IPwmdPPMuk0IxcZlNGYllscJyRU8TsSpd7lkVHaL23bfPWi1rPhmo+14w82mmr7my3Zm+aMjbb0zCvEH6/BfJ7i0MG2Zy0pwd7s71OekPkrECaxgaBXN9ZvGfP5zs/A0+/pVYYeUWJJClqvv/i9/Pywcu8dvQahQk4HVh60Bx5O7jjQ/IrV5ltBVyOrxPnJZ2V3GdERWUqBNNcMjE/f31bQO0xsQOcHNJjxvgAaZXj14pqrrfZjbSSFBV704ysrEiLmp5vU8cxsdehwoLJzbXKTtsSWCZoWC4U9PT1jbPxAxh5H6+c8ebmWdJXXtGG/eYzx4F8K/K4mbzBx+WvIIMlMOYdlyiBqlzvqWmZwGiuFmtZKwA7bkYsOuRVzqyYMRSa2Y1XgNykIeMVklo9AMib+zi6zCB0WKwAuZzc4E485Gd/boIYK/z4TksyqpnuPkUR67x3QJp0V4ULRUy9WLT33cRxnCbY6RoPdMum9gW9WDER8n5GbtQgaZXURdpWgvo5yHlCHkS8yTms+giVJLyr+ygv7+vFtJ7NSb0Ai4r/stCOkl1rC2Z3iIpDXpO6wlH4ywYcLZCHIaoj8QvFe9MMxtfaa/q/vmLMstwA3JDK9AY4cnJ2lSRRDoFJYMhWxug009JK7Cp+8XNvUqQaA5r2fv7ZbSwfFp/+FNVkwt3fg70TNp/94GDtmaShTZQIDuhTG42863ax4wKrE5E4PmGRtL5OcbxPmEHiBQz8AaN0hAh8CtPw5UzwHgCuD8/eRz7fruNrCsibaHblm/RDc7x2d8YoLrhUpfSqiseHF4mrMR4xosq082FTDHRMIydfsGOH7NkWHZGSlzWJKa7wexHSGALVi4U2K+rstDm+jluyN804MqAY5jUyXDLy10ev0U9K1EB7WzSMfB4NQSkem+pZFNjrWv/puf6cXyxzWC1KSiySvOQ7HvkOPMvj19/4dQqze7jFPic7J5l3tnHjOdlrr5Gd2uL69DrztDjWFPg4kOvBdW1H0HFCjqTJZEgVtVovcknqgvPX4I1v+wEWn/1sy8gBLh/MmRrnuEZaKd2AI3tbSyvFMmvFtST2in+31TVSTzbSbHvVJtfpYKmS69tnUWlK9sYbUBVMpOCltz4LUrYNgLcjjyPjUGm5ywBsFtp0UkFx3A5FaZAp1GJNIwfYsDNmhG1wb2g08pHRxRflgtTRz87PBdVxaaWIYUcXI3H4FsPQJS4T7QUvbez5LfZv99mYlGw0VbVHevGpJ1PtKpjH4HT4rRdvcWR0wxoXilSbQ/X72oPFyCxN+qFw9RjatwTxEMKkJs/lenk+pksPIESBWgFyrwBmc8ow4nX1EBZ6wXyf9xgvH7ysvblnMxa2zwmOmBi73M3Lvwe3dfOUNy0d2GsYedOAWTPykCMZ4+fwdJrB6CqgjcpevqnvJXMCcEKquV78Fr7gpBLEtd1KK0Wl2vz7ST4hzCHx4J++8BK+pedG2O5oIjqnKuaf+T32fuZnqFLBJ//CNrFab+uXBDadFO6qIXKmkxUiJ8JJC2QUkVgubpnr6nKnQ5wcEmSwcEKG3pBpPkXkR22PgqHQDeLv9Hf44zq+poC8qfyqgpp6RR1pSsKvVTHni5ITxte46+gsk5EqWx+H+xl5wq7bJ5ESW8wpqprEsNwvzD7PK6mZWOND3XIs2qU2Ob6eW3B3mnJo0g6DrMIKh1D7CCR/ePA5+gvwtnQBRJO5MA71tbznyNhlyvWS3RMTY2ifCWyT2mipigKbOK/oe32++fw38/HLH2c60m3RXkxe4fGNx1l0je3rtWtY5x8iqzJG+V7LyJVSICrKUlLXiiSXjFtGDrtRjz30xAszQZovVi+NKst55t87UNfMP/kpkhUgv3KwaN9FL3Co4wWl53Mgt+9j5I4lsewlm/K6GqQeKK2YWMjerq5+TV56Caqcf10e8eKlT0I3QpjGIZuRy9SUbQtrmT6ZBDbdRPdxXTtqPaayagXICz2xBzJhXC3L0ntK//3ILlBK+7UvGTkPYORzrYlabptLnlZxm0PuL26R7ev3GzT9K490wLOVVooFtRPwk7/2Ip+5oe9L4UGZLIOGUQTGyrgJdkpPv8MDakpTzuiPrPsZufEJlyJHmWAnQL/2TFl8xFeqM1iefm7vts8RlzFvTd6ims2YWh7nrAPuWRaOUlz45E/Dl36FCourzgX9Hgwjj2pnTVrZU1oKOVUoysOrAPzOy3cAia0gtz1wO9TGxGrhwykgVQ7KanZSsm0uMc2mhLkgcXWVaWjpf2/IEG5IZzehOjhg8i9+g413LFic7ZMca+C88CVRqthTQ+x4WRTkpRUy6hDbHlIp3T/10W+gnMdIYOEELWEs7n6BOl6wHWxjxfr374bHsuzexuNrCsgbRl77NSpTbU+8SawnwfVyxvmiYNfoyj1Xb63GdcbQewAjr2soE3Z8zVJKa0pe1mTGRP/j9/4lv/Dm/64/emC8MKLtVlrx3YJ705T9Qj9GP6uwgoFmnCJiL75BP4be7nkAOq6FLQWHJlPk5NgUXFjrQL410pMmWrH7tKgoldU2b/7+i9/Poljwqes/D8CZk4/zk+/7SdL+0tkuekR35jkqbreMvDSMrawki7xEVU4rrVzbEZzoDbhrAoJRAvF0qV0qpfi2T2d0phJ7e4v4hRdalg1wZX/BNF0B8kVM5QXsiS0N5CuVnbYlcJwl8HXMrmCcjfVCuyqtGGmh7HewNjZIvvQSVAVTFFECqreUprYij6Qyi4+9LJiJQ0mULo272nuqDJDX8X2MvEvCqPLZM2ZTXdMAe+HqQOeaRp5DdTymkMc6s2r4sE5BDByyKtUMsa4I0z2cA/O8kpJYCDjUrc+q2UxLK3lMKnyUgpGp7K2Voxm5AUSr04HFHGfjUwTuJfPMXN2VRhXInv6N7pG8P/3Q+IFIkUG5bBE3qH2q6ZQ6inipPIPt6ud2UeqslJf2X6KezTgSHk90JuzZNhRdaieCr/w2d7zzCBNzaBpWhJW9lrVyozogyOF2vcn0ziVeuT3h73zidZ49N8QDMtvVjDzWxGvuwymlyJTD3ATwC7Vs9zbJJwxLj8QVnNxIcKylQZl+JhGdHSNBnT7J9hMzAjtsjcyaY+5LorRmTw3xjX9M1+1qw7TAIzZjsy4lXPzWtg/43PYY+FqmKRyQWc6Z7hmc0Q22yopbD2jM/XYdb8uZhRDfIoR4XQhxSQjxN96Ocz7oWDJyUxTUNN1NCpAZR/WCh4uSXWkGjq+32OMybR9w0zwAaNPDmtzXTEwpqpq82crZFcpUPn769U/o76xIKx0vY2+asm/mr5/V4Pfp+g6OiOik4FTg7ZgiCSEYhA73TDnyYNJBKEXHObl2n0MTte+u4IKlGmlF3/t7t9/L9z72vTyC3rb9rW/5X7jQv0A+XDKu3cefBmBW3W4ZedsCrpRM0xKUw6ffLfl3H1AsIouT3Q43CpOFkyri6dKVb/7Gq3zH5xV7Fwv63/0XSF99lcIEok4PgjVG3kgrte9zV2zD7DaFCUw5ltBl+vaKSVdoOitlY6gK5tJqU7cwjGpgFwRPPknypS9BVTBD0U2g7i4zHrYiD2G2+UougXzhCzppTZavs+aq9FBKMC9ma3nkoH16ZgRcG+vJHBm72sTVO4dVIPcKKO8D8oXeTWxcgKMrDEOHvE4JrADme9TzmsB4X/diuOIN4fAtVJJoC1uTtbIwue9HpjpSKRuKhGqhO+HIKEImMU73ZXznJtgCYfssigUJFV0nofAkG0esW9iC/i1AkkCZtgHofqWLrVTU5U49QPY1OdpIHQbegC/f/kNUUXCgHC66R+xZFlm5yYsf/FkQFm+5j7cGZ8JrgNwiNUHawrO5g97Z3iq2SPcv85//4gv0A4df+OFn8JQit12d6hsXKClIPdhRFRkOY/Msylq083iaTQlyi8SD950ryU06aBvgdkKcoGb3v/3rnPnv/xrSVgRO5wFALojSmrv1EL/QxCJyI8IcysBlbtKFa38XTj2FMgZ6E8tn6GhSljpgFYoz4S7B9Aqny5Jb9f1ZYG/X8UcGciGEBfw88K3Au4AfFMKIQm/z0QQ7lenfVx7pLe84zpGuzlI5XxTsGDe2wDkiExDfx8jNiysS6go6f/vTPH2pJhFz8rJu27ylDvz4838NgN+89Lv8dieEaLctnw7djL1pxiipyGy0eVIwoOfbSBXRb9KQt5csqB843LUCagSb6Ra/e+M2nvPQ2n32j/QL7yzrTpCqpGDJyIUQ/PTzP83D9RMAeKZLS7Wx/K3td7yXyImI6zstI18CuWCWFqja4coJwW98vUvoRpwchNyoGiCHeKaNllRds/dTf5PEhbsfTOk89wGoKvzXdDrgO0/2uHK4aC1su7ZAxTFV0OG22oS6xE728WyJEALbEniyQJoFJghLIidinI6ZVBl/qXiLH/3Ej+obMYy8Z+UETz1FfvkyxaxkRkWUKIruMutnM3Lbbi2VWLb9mwUKuwa10jAEICsVovaZ5TNjROa248OrFsxUwI2JBvLA7JBSV2dIrAY7/Xz5bAEdRSwTvQhtPqKDnYGNkDmu5cP4BvG+BmgV+PQX8Ka/C0eX2x2f7PYgXzA3QHRofl/V9n3SipXEWHaJq1KwBNhu2/l9qyqJd1x2D6E4lrLbdLERdQLlstfn9sICpSDqAQJOab27Go95cvtJbr3xRQCuE3DePmDP9aiKATe6z8B/9gn+WfdH2iYgDSPv1DZ5kVHHMfeYkTRxYLWNO7vBKC74Rz/yLDs9H6euyaWtpZWkpAhdLOnQVzkZLoepaaxRC8h1xtQkn2DFJbFjM4wmeocDjBeNX40eRxvf/a3453QaceBGJGWyZjEx8xVODYeVsQCZ3aFrdfAzKHx7CeTBGW2AVTRA7jEwvvmLnXN4BZyJZwwWVzhVVtzK7vcueruOt4ORPwdcUkpdVkrlwK8C3/U2nPe+o5FWylBPmKoB8qRAGhnlfFHSrQosPEJ7j7GlQWnJyFc08mJBlVrUd8ZcvKWIRUxeKUqT1pW6cO6UXpMu1F3+Sb8H0Xab1xq4GfuTBUdxTubo9CrNyG1EHdI3O/xwd7u9h0Ho8pV7MWMvwrcGbJaKkb3b/l2VJd2RnlyrQC7qklrYxMU6oxTzOam17CFpd3vkloOMIuztbc73zpOJPd3ijSXY5KXQDX+V/t6R7RA6IduRy6xpBJ1AbCpT49//AsWLL/HLH5O4HgTPPAO2TfeNl7Gl4OJuxPXDmKOFYZhmu1t1+9yqNAsM4jttCqRjSVwKpO+AANsr6Ht97sX3+CtBziWVcmt+i7RM2/S7nlXQ+9ZvAWDylsVMVUQpZJ1lYHQr8hDGRrQUS418YrqvW4t124G0qBAq4CM/9dsc/dNfWtux2cWMGSF35ofY0sZJTXMERzPyuIgpLFBCEJSKsi507vyrry6LgRpGXiaclCMQufZEn9wgPnBJHQ/7qSfoxYpLdg8O31oaZhlGPjYywr4ZD3VtQ5VTL+ZLIE8TpCxwSyhtwPY5MM6a21VFsSE4cwCz4pjta5IgbBDlAlGmrSXAZrMGmiBydfpdgKI6OuLJrSfpvqJjM5/tPMRGvceeFKiyxywt4Myz7Kt+64vTpE36lWQ01sTg1eQyeZNJ5e+yJab8ve+7yBOn+1AVeKomsywtraQVeejQdbs4qiDD4SDX19kw8iuHI8q6xE1LVBhymO6zMHGTg+ZeTI0G+aL1Ig/dLgpFtlIzMTHDqTA2vkzvENUuEsh9m6kpAKy9XV2oZTKhRtJjuKdti+9u6Dn90M2vsJ1fZ7MOuBvvrS/2b+PxdgD5aWDVFf+m+be1QwjxY0KIF4QQL+zv7x//8/+no5FWytAw8kO9+k3iAunuIxCcLQpEPsdliLBGjDd1wGWZfriikRdJm/2yvYCZTMjLqm3zVvo2J7YfBuDdVcRrrsPIcqkmU4RnIyTcOxqRlxWpqwseGmmlLkMGCz3YohPLaPUgcLi8v+DQ79G3fJ7J/gEHK0Be3N1bpiXmK818qwIl7VZaaZ9rvCB2l916Or7DKBzgPvwwQgi2gi0qMdd9BVlq5HkpmCaakYNuituxO3Q8m7lxx+uksDC2BPnVqwC8eEHgCwsZhgRPPMHwzVfwHYvzWx3KWvHKbTNBTJusqtfjem28XtK77eTWQF4iAwe75yEoGHpD/s31f8Mf2opvcvTid3t+uw12RjLDPXeO8P3PMr4cMq1zugmknWVgdHtFWilYMvJxA+TzdSBPigov99i6OiJ95ZW23RtljqwyZirkID5kw9tAJTHYksoSmpGXumS7cH1CU7V472f/Z67+wA+iYvPbbqgZOXCivI2QBRYujK+T7LtcO3GB4MRp+jFcswKY36U+0otno5Ef5vrdLRm5foatRh51sLMEYYC8sNDFQLGeZztVhehm9GMY372+dv91EiMdqbvllBmlqSgemowq2TVpflvvwnIV1d4Nntx+kieuKYqtIbfDTT5l3yMXUC4uanKANkhrpBVpgLxbubx2W1srf2nxBqd29HN56lFt6/qNJ81KlYxxlSKXlk4/zCEJLHpeD6vOyJTDfrJk5P/bv/0y3/x3/5X2ES9KouGAu8l+y8j3Gu+3la5aTXegwMicq/LKzAR2PSOTMLtDZOSTxBMUprF67Rl/FuM1MxIewxu6AcrNWu/aT998jafrV+nbm9Sq5u7iLn8cx9sB5A9KjLyvnbhS6h8qpZ5VSj27vb39gK/8vx8NI4+bHnxHI5RShpHv05WbWlRJJ9hqSGLFjDY0EK8DuVl985g615e/vYCJ0JWdKo6pge3BaewgBMfhbCpQQvD5gxd1RkFHX4TuLFST2+AUomXkKt9l20SrnVVpxaQgTjsDwtmYhYzWMj+Km8vg4hqQ1wVKOq200hxWsiD1VoDcs/idi1/Hxl/8YX0OO6AmWzJyk2dcVRaHi7xl5KDTtELXppYWdSfUGnmiF8vi9m2UZXEUgS9M09n3v5/hjUv0RcGFLX2vX7oxxnck0shP9AZcKYyzY3q3ndyOJTQj7/g4wxCqjL4x3P8bs5wfCfV7uzm/2U7ASOiJPvju76SY22y9tSDIIQ6Ww3gzclsgz9W0TZ8cuab9XHw/I9+em4rb6dSUv6et82FmdRhlIzaCDeo4Rvim1D7eJy50BkrueEQ1VEXG9OMfR+U51ZExEXMjzciBzewGyByJR3n7LbKJw42H3om3tU1/AbcM8FS3tOeK7HahWLBvzKtys7usK4mqQaUZMuogOxFuloDIcUrIbHVMWqlwQv0+Zm+8unb/Kk6QrgX5DFlnFOY3ehPzvIxPzaJ/EcurKO9e590b7+Ld1xTXH93Clim/2IFn3C3s7CLzzAB5US0Zucmg+eaTH+N/et9PA/CXn/+r/MSH/ysANvqGyDS55OkYTyld2el0qHNJ7OtCP1FmYHscJAVKQK0EL7x5iz//VL9tgh0MNthLD1tGftskD7SV4EXcvt/AjLlVIJ/4eo65wsyr2R0iI5+kHgRGsqttPa7tTM/ThVI41z9LhMW1Qr//k1nFtpiwEZwF4NZ8vYHI23W8HUB+E1gVec8At7/KZ/9IR8PI577ezpZHh8yzkqpWSG+fUJiqqWyGV4YcWYpxXwcSlxq5t8LIF23vzWEMI1HorIYkJnMFZ3oPIYTA6nTYiHO6Cj5353PaByPSL7kjUpAFqQNOAfgDur5NNf4IT2TfQC1EW7QBtGX6zs425f4+vi3bohqA4pZ+0fs98NYYeQkPYOR2EpOtMnLP5jfOPU/vO7/TPLMAJfL7NHKUxd4kbRk5aCCPDHOvOjpYG5sc6uLWLdTOBkoKAtPvM3z/s8i64p1H13nYAPml/Tn9wKEaGRrUH3BY6gYYvfxuK624osYSiuH3PseJ738aypwfeeeP8FMf+il+aJ5w2tFM6db8VqttRlLP1O7Hvg7p1Dz3Gc2q5sGSS3Q8u229pai09g0cufrf3GOtwZKiZmuugbKeTJbjwxR72GGfeTFiw9+gXsRtTvR0fpdFsaDjdEikS6dWPHGpoBoZQ6mx8dZwQuidocgC1K/8S7pZCrVL8ooG6/2H34m1sYldw9y4DlZ3dcqr1fFB1ewlFqcHAZnxIFG1pDbBPstIK16eUKsMp4TY1uX5B8kBnnTo1orQRM6zNy+t3X+dJAjPhmyOqDIK6ZLbEI2MvNTTQDfpPYbl1VQH93Cv3aWXwBfP1AyH/4592+InTn8jXd/VAXS093zTnFhIifA8OrXN05HOqz+x/TBe1xQzSZOWNza7hWSkg51CGEYumHuKntfTmTVuwMG8oLIFdSV4767NDz+/0/qsBP1NRsWcsSVBCa4fGYRvgDxfrAC5voZVIJ/6ej52lCTDhent9twLV9ETY3PdPYq6wEv1PH1O/AGkYwZul7mpNfD6uhhoa/g4ALdmf3KB/AvAY0KIh4UQLvADwP/xNpz3vqPtHGJJcs+jOhoxjgugRroHOOqUNhjKZmyUFfuWxWHHFOM0GrkTrGjkS2klWsCR1IsCaULqwkORXp9kt4uaL3iOgM/e/izVaIwV6UERkiFEQeaCvSKtzNMaZzph7ncR1rKqsrEzHTx0iurwkMhmnZHfukktBLc2BW6xzsixHOJjWRdOsiD3l1kbkWdT1qr1NXGkj5DZfVkrYHF3mq4zcjvUNrdAHXW1Rm581ZObt7hhurIEJrc9eOYZaiF41/4lNjouPd9GKej5TgtoYjDQhRP+ALecax9ywDPl7Pa5E/jndqDKeP7083zfxe+DMmPLifAsTw98k7XSEaYfpWvRO5dw8bK+l1mwvgG07KXeeZgcopTiwNaL93Eg14zcMOHJZLljM71f8XqkasrQH1LHC+wwxFa6SUNcxHScDnPpEJWKr/vy8jqqpk2c2wEpWcxOEn/2Cn/9tybI3CJ+cw8lYXH+MexNPUZlYnpw7mseZDVGW5XD02cH5Ca3vq4EtWGIjUZu1xV2XeJUsHBAWS734nts+RsIoOeXxC5UV5YVlKCBXHoO5HNklZELl8yBcKTlRbdh5MrHinyq8YT4c7onwKdO7FNsfp4PJgnvP/MRer69ZORlvfSOR8srKlnaCsjQpE0CdWnr526KgkjGOApylNbIc8nMrXWVc5liuz6Hi4xS6p3Jxy5EJmNFfz3q6x3/VcfBFS7XDlbiFXAMyDXBWwNyT9/DoEq4xwbM7uIb1j2za7ZtHZurRajHQKaoHMUP2TqzbdjZbbOZ9ja/HoCdU89hCetPLiNXSpXATwD/GvgK8M+UUq/8Uc/7oEMKiSttUiFIgoDq6JBJUiDsKUIWyGpX5+1mU07lCZUQvIV+u2sFQU0BQL7QvuZAEMNEKhAlIp2ROIqHugbIo4g6Tvmgs8ntxW3SK5dxTuvtYEgKoiRzBNZKsDPOK5zZhHm43vxiaDrFnH7kLCjFdrFYq47Mb94kGfRZ+OAc08jFA6QVN40p/GUmQiOhNJ9zhA+y0H7bLDVypSz2pimubbdFRx2nQ6fJNw+7dFJFbAZ8euMmbxog8ZsipSji3u553nH3EkIIHt7WwaF+4FCNNZBbAz1RaqeDUydtJoNvgLyUrs4UqUud12/cD4Xtcyo6tcbIQwPkVDn9h5fZJ2N//ZlIK6Mu9HM/TA/J67wNdvrJ/UC+NdfPWUsrutimCYZVbpeSGRv+BtVkiuxG9OqaaXrEolzgWyGxdBgsUt73psJ5h87uqE1DkQY8KqnB+l03K77t118mvp6w2OgQdEOsTR1DiNIZhFtUpsWYNN2BYnyeOTtsgVxVtM2/dfqh/o0gAy+3SRzBHUtwkBywHWhQG6iam1tgXV0HkjqJdfFQNseqMmLhkLggDREY7Opr+7F/8gfM/S7lLGHxuc+TndzkbjemslN+YjSB4Tki39bBTrT3/CqQiyCgzlaAvClkAqp4AYOz90srKJStnUbHXknP6UKVY3sBB/OcXEpULbg4tJjkk5Y19zf0zvyyY+NJT/dKjYulRl7E+v06IYEJgK5LKyaFtkzYUwOY3cEx2Vgjq+C0a0zDckVSJoQZ1K7iPfIq1eA8g3CnBfI7/Q/wPdlPY535ACc6J1pb27f7eFvyyJVSv6OUuqiUekQp9bfejnN+tcMTDpkQLPwOpWHkTephnW+B14dsxiO5nsPt+DQAACAASURBVEivT6/qaLfZlmL7ZiaU2q+iaaJcKLxcIewpTjHTjNwAuRVF1FnFh/wTdGOFOhrhXdAabigyhCzIHLBKAW5E1+io7nRMEq0X+3z7kyf5me97knMXtWa2k8/WgLy4eYv5xiapC/YaIy8Rlr3G3gHcLKYIloy8CWouDDOSeAhR45mCjjVpZZrR8502rTO0wyVzD3u6uUS5oM5z5OiQPSMnBWJZrHPlzEXO3rtCnaatTq6llZF2uAuNrYIT4lbJfYy8Eg40/T+r3Jh/aFOu09FpDeRmAoYsgVxsllwzoZaRe6yiUibUuQagw/RQZ5c4gsKx8Fc6yoAG8s2FCZxNJssdm1nACs9HiYwNf4Nybw9n9wS9qmaa6jxyW/iktsvurUPcCvz/+HvMuUybOAPktSnv/7WPSp780nXSQ4ubW9t0fQfbAPkgTYkHZ6nGR8goQphMikR5PHNuSNYAeUkrrehgpwajIAOvdCkseIOM/WSfbVMjEdU1N7cE3o17a/ev4gQZ6MXLqROmltOCEI7DOy/s8ms/9kE++tgWV1VEldaMPvs5vOfeB8DFbMh78xJ6p+n69jLYWSyDnaArTdcYubGxBWN/MTi7Iq1oIM9VpXPma8HILeiaceB5IVcPF+RSQAWyjJlmU53+CwwHGshv2TYdk4F19XCxwsjn+j+v21bZNkCulCJzSgpLEuUxt+shanqnTYAYyZyz1j2Q+roXxYIwZdkt7MyHGPpDMmPgVyYpX1QX8Wy5HM9/DMfXVGUnaDaYSsHEi6gONSOXZoUskk3NyNMpT5iuNG+M3lgGOmHNqpQiaTVygP4CpD3Fr2MyhzVGXmU1Z70hT800s/Ie0xH3nlWA0Bq5LCVISdd0WQ8XE7Jo3ZBnELr8R88+hL2rM1m28+m6Rn7zJunmaYR0tVRjgpNUBcK+n5H7eUIVLBl5o3E3W1xpikkcUw6/CuR3pyk9325jD6uMPAs6dFNYlBnlzRsIpdiPTBrZStXlpZMXsauS5EsvcX5TX0cvcChHI6zhsG2HVdkhbp0s0w8xjFw4y/6fVab/A7AcTkenNYORFqly8DGxjapkbgl+92lJJWAvXKZ0KaWoSPWijpZW4lJPwjTwCY4BeVJUbMyMpp6m1Dh6bBhpJTM7nA1vSLG3h33qDL26ZpJPiYsYoTwSc/23N0A8pxskNDYOzSJUqRDh1PyLDwtuPK6R8tXNs3R9G2tDj6leDLe7u9TTxjBLX2uMxzt2u7ieSy0ldanuk1ZAN49wK5vChjdUxkF8wFa4A24XCzjYcXAnCeVo2UC5TpI2PTAqx8wsh9QAudXrIYTgAxc2+bkfeoYn3/cE1AInTfiN6mGs8Z/nR5Mh9E6D5RB5NvPVrBXnOCPP1oBc+L7ubblYwOAcjAwjT0a4SpHVJZV55VNP0bOMHa4f6o2btBC1oM4XTPIJHfNMNoY6aa4Wgsi5H8in0wlVMl0D8maM5HUOQpD4Lp08Zk8NYXanbWs3slLOyT1wLW0KV8R0MqgCk4hx8kMMvSG5eYbVQp/XdywN5H+CNfL/oIcnJKkQHHldyqMjxkmOMKW4iyQAvwfzuzxVaiBPq3QZ6IT16r18sWa+1V+AsCcEVUrqCs50zwAguxF1rhBuyPOp/jfnMZ0ydSIo6XiK3AFpWFLPt0EpeumMorfOyJvD2dFAvpEuGXmd55T37jEfnORMehJKgWq8TuoSablrwc46y3CqEhWuSCvHGLlQpvOJ6TTTZK0oZXMwz+j6dht7CJyg/X7idwgTiIWguPwaAPe6+lz+/83em0dblp7lfb9vz3uf8c635qG7urt6UEvqbs2iNWBBQJYwYBlDAgIZDEGYwY5jEgvHEORk4ThmhawsE0i8MBBsIKAIYYMVJCEIIAmhqSV6VHcNXdOte+8Z97y//PF9ezjnnqq6VdVt1GvpXatXd9977jl777P38z3f877v85a7G+CZZbXYxU89yYm1JiPfxVxaqjzQMzPALcJqu+2JcqqM3VhcE6p+Z8vlcPswo2SkarZx8RuMfGQY/P4rBT/8/RaXvNr0KMojJDkyXUZgsB1tM9GAGAcBwR5GXrA0rv8+T21dtVICua6rTj1kFGEfOkqvKBhmio3J3CXSO4o/vN8gD3T38agsP9TygbmKaCtf8efeUHDo6+F3V1+rhlQvqfuzN4FzXp98EioTMF2L7/ptfMdkteOQWQ4yLRqMvE2hcyR+LHEyiWVIPp+PGKUjJa3oyozdTT1E+Kk64VmEIUagxwwWA8amXc0kLYcslNE6Xvf5/TYH2b3wRh7IdhQIAx3PZhSlFIUkyec0ctdFhmEDyANlcdtqUUymipFHuxANlLQiTJIiJY8VyZl40NE7R0/vQC3PwSogjEcM4yFL2sky6C7T1cZvPa+NEPDs1rRaVH/pY1/kM0+dpbDbNSPXcmukCyFC38ULJ1yUS4gspNhVNfnbYspBroLrUEwmTLMpQSTJ9TM42nwNfa9fLYa5tkBwLYMj1hrLT28x2ZndFb0Q8ZIDcg+TWAguussUwyHjrR0wEgQmo6hQjPzC51gpckx9elWiE+YYuZJWyvFOvalE2AP8LCZ3nYqpmu02RQLYLe7adhl58LirHrJ1N6flSyIbhCaGHc9Ww1nzlLzXWEQaYS4vg2GwHA0quaSsWNntrZI6HkiBHA+UblykGNZssrPQwwSKVu2n3NZbvJKRo4Hc0Fn0rDR2koZKTPq1tNKyWtrQSjBxA9RAdYP0jDJyutJV7xWYdQPOltWiEAbZlSuVtNL1LPKdHcylPp5mZakZ4MqakTszjLy865N6B2LaHOooZvXc4BxTPDwZVq8bGoayBD24zjhptOJr0Ja5T8vqKUaum3PSVkA7mZI1/FaiJKc7nFYPXpGaM4w80S3rZV21deAgXWEy0F4rWeZUQP7x+wSJp3zAywnzpb5fhAmsKxLwK+13s/XffpLzQkkrwrZJ2y16U8lZyyePwWy5VVNRV5OBtbZLatoUWUGR1tJKostP/QScLCcwCj6RqF3qqr9aAfn0kHoO4j1Arr63Tj5gbFqVtDIP5OZhNRTBXfP4hR9+G48cX2K9uKxAGJS0EmeVn01TWhG+TxE1k51BdfzFZAJLajFg94xKdpqu8mXRbpoTD7r6vju6sczDx5bwfFdV6aRjBsmAvp7+ZAQtNix9Tm6HA11PMXLDJDVc7CKkiIY8sQuutvMopZVEE4k48HGnIy5JtVsqti+TWYJhuoshJNIPKKZTVbkUQ7xynL8Z/wQTf5MVb6Vi5IW2QHBtk+NXDX76l3Ke/5OP8ELHSxDIBZEQPNZRN4946gksK8EWHpM4R7odKFIE0DIUiM5KKw1jpHRKnpg4uiFhbSwxrQFemkFDrjB8jzw1kJbH8vNjzqzDn26rfO69qyb3Hw6IbaGG0+c5Hc+irxsO5NKst0UZwjSxVlfpTQaVtJKeU0C+3Vkl0SWFxeBqZRptWs6MtJJrIJcNIC8Zdfk6Wc5kNGYZOXoYRqchrZR2n4FjMdH/XSSC9PzzFMLgasfAkGA1nAnDHMJOn+zKFU6stuh4FifWWuQ7O1gNaSU1fTwZ4pR15NeSVsqKItPhYFu5Rj43PMdUurhFKa2kjHSN8MHWQcaNbsUS1GXh0rGXlEaut81Zq0M7nc4YZ6VJQms84YzW2/PE0Br5EEyXTFe7tHe0T8zmBj3DY1gkTLMpSWLzZ6ffyO4P/S2u9AUZuZLitId2Ja0MhxS69yCMzEpLLqUwest0p3DOMChSA9MV1WCK5YbXemJayDRXhk0oZhvrUYZBDHae0xE5U71grwU1Ixcb68SuQfxUPVJOTqcVkAeETA2zsh0werNAXlbXBMsDHjzg8+t/52GcycUayF1VtVLuGvdUrWggF0FQuVVWQK7fg90zipGbLnEek2tDvLEnqpGIB5Z7/MYPvA7TczFzmCSKkXe1lYHRCtjQMoxvtzm+2uLZq6qoYFy4nOobnOxKzkxMfvbDSs4pgbzs8Jws97CuXFTSCpDvbpF4FtNEVXHJoF0x8lYEorvMJ+U9RGnB246/jf/6jT+hXlcCuWWwkap74Yq1d4Ti7cZLDshdCZFh8cWuYjfeM0/g2hmO4VFIyPQU+l3Zom3r+YELpZVITedOjCpxeXBcYNs7eFmO2ag2MQJXsWPpkD/9ZUaHl/j0VWWu/4ajAe96ZJNY3/xFGNHxbJZ0ssy4BpADWOvrdKeDSlpJz6uM9pX2MqlmWcVotzKNNiybOCtUiST1MIFSIwUqjbtk5JVhkPYfqTVy3fjh2ZW0Utp9tl2LYdUFJ0gvXGDaXaIwMzwJoryGqOqEsLtEdvkKLdfiT3/8rbzzwUPku7uY/T6ellYSw8eXUZXstLV3dyIbyc6mtGI6HG6r7/jM8BxTXOUjApW0AnCgfYAwC6vzKkFdFh5L7hLb0Xa1bS7aHTrJtHJhzPKC9mSIkJIz67oEMaauWvG6FEK75V1V/7Y2N+laPiNywiwkjC3Sk6dI3/kWdT55gtnpKLnA8sHQOYLhgFznGCaRWX0/ZT7FWF6hOzZ4vkjJEwPDkaSR+syVZXX/rnZcImFTJHnFyM1Wi1B34voxWFlGj3qxb0or3WCVS2s28dMKyGWWIdMU0artVSem2WDks7KgffQo5lKX7qERPPtHMDgLyAYjt5EStrUR2IxG7nmKkU+VF3kZ1XDz/nH1g53nVLLT8kjypHI+nHjQbRYsAIbtYOdK3x4kA9randLw/do4z9FAvjXhA585z0Q63L9msmLFbK6v8ct/oko9SyCfJOrf4/VVjMuXuKrHNhbDXXLfJsw0aej0lUaeqMHLVlfvdrKclt3iG05/k7rGUYQhwDIEm4W6zveeeBUvdLzkgNyTBaFhMnRbmAcO0D3zFLad4ugVODbUTfLF4hhdWyW8ZqWVGshlPCWPBdbaGkbgsjaWCGcLP5F4nRr8TV2FEl8cU0wmxEc32Aqv6i7ACXEeV1tzGYUzjNxYnbUNbYa1vk5ntFMD+blzCNvmitcl1bpnMRpUcoOpBxmXUkw55m0GyOc08lzf3FKXYZaAJxcxcqtk5CaD8jrFBunFLQbdFTBSPMmMxWyUFsS9ZbLLl+vPz1I1vabByGPh4RPjab9rRzsFpnuSnaW04tB1urTtNudH5wmlh1My8mKWkQNMNHstgfyfvv0hTixtziQ76fTpJNOqxj7KClYjlZQ8s6aBPBF1HbnbJWWILCzyC1tgGGoXZdfXexwZHOj5OPqaJHmC0e2ST8KZmbLFcETW0tv42Kw8acoKJ3N5md5UcClTTWqmGTMYKPa3rpnwattlalgUaUqRCoRlIhyHyK4ZuZVlLDeBvGTkbpeet8TZVYiffBIpZbXtNxpAPjVrRj4vrVhLS9z1sY8QHDTgyf9YV5kslRq5uve2Rgp8Z6pWPI8iUhq52cjpmCUjD5ZVv8DuGZXstHwymZGNNcB60BElkGsJxXGwcskkVVUr7cxCuC7CNNnU7L1ltzi+ErAzTfm5jzxFZgaseTnEIx44eYTDSy0MnArIB5HWyg9sgJSYY92OPxqQ+y5hPmUkfUS7p7BgPMCQ4GgJtby3hOOAZSGjEM82lVGczsW0V174cW8vOSB3pSTSD7F1z2lWL3wZ00yUNSgQmeohe0weZ0l7ISyuWokpdELK7Pex+m2WJxLDuoxVQKdX2wgYujFj+pRKoMbHNpTdqtOCRAF53NDEOp5VMXLnukC+RjDerYH5/HnsgwcJU0nmqvOQ411VYw1YmrmWOnm0Uw4erh+4snxwHsgLMcvIBep1TUZeSSuuxa5OAhmxILl8le3OCsJIcCUzQx+iNCft10AOVF2dZn+p0sgjo+yEVQBm0QDy8jvJ0xlGLoTgUPsQz0/OM8XFzsPqdRWQa/lllKrrXUorjxw9yIq/MpPsFN0l3CIj1pUEYZKzGqpjLaWVIip0Z+cIvC6JHCLzNunFS1hrawjLouvWTHU4MTnQ93A0cCSFZuTTpNLHQUkraVB2Zjqc1Q03JfjZKyv0JpLB5AoyF5hiykBXvhxYU+WJa22HxLBJwpQ8M5ThGDDFJBOCTigRQE/keMLCEpa691/2LnjDj9Jze3zhQEZ+9SrRFx6rnA+NTn0+U8OoSMm8tAKoczr+Rnjy92og14y8XQL5WDPyZh255yKjWFnvthqyZQnkQqgFYfc5Ja3oezEZDZFIph50tTVEScZMx8XKIcxDVbWSGZX2voE6icAOqmqqs9sh3W4PoRuChNvmYM9XlUcayHcjLcMdVPmZtfGAyOpRjMcUImRCzs9m36R6SyYTEt0v4ek5AM3BJYbnQRRV16F0TZ1fIF+IeOkBeZETCX3Yd93Dyu5lWmmEr9nkVPsjPFYcZ1kD+bWklVxPAjJ7Pax+j+4EvLIWdak2siqtVsMntfPAyaPsxrtIJ4BkSpzUvtTFNMS1TFY0oLirsxNZmmGtr+NNhmSxBtlz57EPHyZMc7JAb+lGw4qlWiUj1xpkrBm51akZlWuZKlmpX5OmpSmWulHLhqBAv9cijbztmmzrrakTCrLtIVutZRApXmPwcpoXZIUkX1oh39mhSNQDXDUDNapWQvSUGL2g2JqRJzSSnVk8A+QAh9qHuDh9nhAXq5hNdrqGzYqnrm8J4CUjb9ktlr1lwiyspr5bXf2wbavji9Kc1VA9XOfWDKSAPCrUwhnugNshKobIrEV26RLWpronel59P8WpzaF+zcizIsPodMjDpKpYKZJEjahrAvl2WF1/AG99jU6cI7VlriEHjDXROLyuznG17RKbFkkYUWRGdV9Os4KpY1dum6YpudNbY8VfwRAG3PlWeOOP0XN7/OndgG0z/J0PKhMwwGiUyEamaFStLK644q6vUxPkn/4DECZ0DupzUee3NS4ZeVMjr5OdM0AetOoh0mUtebiLo3cz2e4OmassOdpSv18DyO0cRlnEOBnjp6IB5Oq1LavFcZ2E3+i69PtL6rstUnA7rHVcZGHvYeQcVkB+PNxiYK+S71wBOSYXgl8ovg6rpZKdmQbnsgM2zurdkPA9RBxVO5N8MFD9Adbs3NgXIl5yQO7nGdpsjOxONQHn6OURLQ1CQ0vd9J+XJ1j1tUbuNYG8ZuT5UN3IZr+PudwjmFIZ72ysHq7+xCwfmL98Fmtzk/byBnEeEzotSMZE8bAC8vLhOBpuc8Xv0W7XevJ8WNo8bHX7IlJK0nPnsA8dIkxycl+t2sVkVGnkJZCXicxyXqc1t8IHjlUx8hLIy7KqkpF7Vgnks1Ur5d9v6aafjS2gkFz0lxBGil/UQF6VTWoP9Fy7Wpbt+eZSv5JWpkLXKgt1HBWQS2tOWinLDzWQdw5xJbzIRDpY+SyQd+wWbQ2WJYCXgN5xOqz46l44OzqLQGCXrGl7tzr+lWhAYTuY/T5J4JCH+kGcXAa3yzi7iszbFJcvYW8q356uXy/OsnA50POrhrNSI8/DupOwtD2OAv0AS4dzmpGXyU5vXV3D5auaXOTbTCdDQumw1lGL4GrHJTFtsjCiyC2MslQ0yQlti65WkIQp+da1h/iWU99CM3puj4kv2H7gZQx+93fJx+VOpQby0ACphzxfkzme+mvq33/5O9A7DNpoqzyXqyWQ282qlTLZOV3MyEGVMV59GrIQR+e60sGAxBUEmNhlfkc/w6brYeVwSSZIJG5CVUq5Wc7RtQOOLgcstxx+4NE7MJwWjLShmdtlte1Q5DWQD2N1EYP+EubaKsemV9kxVylSMJbW9fWNsDUjL8tMbb17mWHkfoCI4ypXUAyGLwobh5cgkLt5hjYsJDmpyqGOXZzQ1tvYL6++mS/99Q/wtDzEK1Zfy/te8z4eXHuwfoMmIx/XQG4tL+OEAt2dS2+plkQMXUuc7wxxT52qpJqB7UE6JUmGxHoIb6k7ntg9zzPdg1U54KIIHnqI3Hb4nz7+v3Lpf/8F8p2dipEXLbXCF5PxHkZeAbneUbjd9sz7tt2G54W2QC114rJqJdBT1rv+Xmml7VrsFhaFaXBEKyYXvD4YCZ4sGkCublq5qhakVMsrJZBbS0t4+mEe5/ozNJBbGshjrGsmO0Ex8qSI2DItrKwprQg6Vg3kpTlWCeiBHVRs/dzoHIEdYOnqj2wwqI5/NRxQrKxy18rdTDzIdbkb48skboeL4XPk4QbiymVszci7QWOIbuFyoO9hmzWQG90ORZTX7fklkGuXRlk4nNme4tsmlk7+OnrndlBbtJjFLnKyRWx4GIZ26GwrIM/DiCIzMVz1t9MkZ+qY9KZ6/qYpecfqq/iBl/8AzejpWbb/yt8gv7LF+GMfVa9v95BatogMidTNLeYiaQVg6Tis3q12LmW1Cbp/AriyQFoxXA+Kour4rX7eapFPp2qwQ/9oPdTD1YNShgMiT9ARRl3RpJ9hy/Wxcrio7yU3kQjNyI8XgvdGJm85+hY82+TP/pu38u7Xn1DS0LgE8g6rbZc8d5jomv1RrD6/7/m4x45zeHKFD7ffSSE6GAcV3ggjwm63kEmC3FXfrdPby8gNz8OIG9LKYIDRv8Yu5zbjJQfkXpYQCXXDDt02l/0+Ry+EdLSmPEwkV7tqak7H9XnX3e/CNBpgatcNQblOPpi9HubqKkZi0NZYUd4QUHteALh3naqSpzuOq2YqxkNyncQrwpAiDNkcXOTp/qEq+bgo3JMn+exP/m98afkYO//iXwDgHD5ElOYUertbTMaVRu44s9JKNhgysTx8z55535Zr8pmzu/zfnz7H5VEG0qgYR8nIA1s9rJ25zk5Qyc5JkpN1fI5pID/j9BAixSuKPYzcWNEzTzUjz3ZqaaW8iXe1Vh9QArl62BPZTHYm1UT08jPKypXLNhhNIDcNOk6bjmZuTUbuW4ohL/uKgZ8dnSWwGkCuNfwoy1mNBsjVde5dvpcdJyXTVRJkEU+ZkMsMb7SOiEKsDZWk6mldHhQjP9jz5zTyLkUikVruy/XCMfX041bYPL8bVrIKULXpH9zWYOwUrE6fITNqZ8vVjkts2MhYSyuaPIRJxtQ2K2lFGJA2bBTKKP2GPnl4E9Fqsfsbv6k+KwhAPz+hkKBZrXE99njX29S/dTMQ1NLK1UXSip4SlF+9Ogvk7TakKTJJ6lpywHH1jnQ4JPQFXWnUrqWakduOYuQXDHXN7Div69PzhL9btFUdPcr/Xr1xS1l0gAJyLa0MNZCPNZD3vADnxHHWB5f5Y+MhiqTA6ujrYUQ4eiKXvaW+W2+pBPKakQvfw0ziGWnlmnLVbcZLDsjdLCZFAgUXhxFP9Q9z7GJKz9WdVVFWAYxvL2DD1aT0kFxXDpj9PpZmleu7+kFqALlp154n7qlTlea+a9kq2ZmMkSWQT0PiJ5/EkJKne4eqcsBrhXHoMP/4td9L8JM/TfCa1+A//DBhkiNb2mxqOq0YuW07IGWV7MzHIya2V7HeMt758kNcHSf82L/7LB9/cgsDt26KKYFcLwpdz2bVX6Xd6HJruRaTJKNo+9UO5TmzA0ZCUBSVpl2yD1NLRNnlOWml18MwBK5lsJ3q8Xu6esZsMvKyCiZvMnL1GYfaSqvcsiRGkSiPHF1+2HE6Cxl5uSCVjHw72taMXD1EpYYfJjkr4QCxts7pldOMXZiOazOuL+pjXdpRn1Ex8m4N5Kb0WOu4M1Urpn7IC6nutbJxa+xJDfgmaS6r5CBQtekfKBm5IzmSnaGw6/uw5ZjktoOIY4pUVJdtkuSErlFLK5ZU13UuuhocUzfBePQtZBfUtB7D95H6Osai4OrxJfyHH8K7664971HFqRLIa0ZeJzv3Vq0IT91bMk33MHKgbtPX4epdrxyOmHiCjqQB5Lr80FUa+UW9Y7HirKqJJ4tqGbUZdmPUndNmte1CUTPySaI+o+8HOMeP0w5H5FevIuMYWwO5bSeYuoTS3Varp7+kjrfpm2T4AWYaVwn/fDismg9f6HhpAbmUuOX2SmRcGEQ82T/Ege2CpdzENNQcyrIKxLMXnF6jRT8PExCKeVjrim0d3NYdc40SKcOqV1n3VIORmyakE6J0AhrIZRQSfVGNe3qqd6hu+LhGeLbqUCze8nUc+9f/J9baGmGaIzoNINeM3LZtfvHD/wPeb/6q+t1oMZD/4Jvv5C/e99f40N97A+97+7103XrAbFZkWMKqFpiOZ/Ft93wbv/mO31SJMVQtepQWoAFJti0ioeZNBjLfI63Yy8tgWVXlSr6zi9HtVuPnPNtkW2v1vu7OtPSCEhVNaaWZ7FQPYVmVsm1rySOdVFUrXadbM/JGsrOtywOXvbqGP7ACnM0NRraP+ZjqAYjilNVogLG+zunl04x9iMd1C/+XijEtq82KnkVhbap7xGlv4hfq3FdbXUxDVIw8LVKMtpYF9Ii2cnTbyJFqt2AKfe3rnVTJyA9vq/f5s66DLxKMRuWLEALTcxG6/LAsq1bSikF5mxqGVDuduZCZei9hhoRf87XVzw3fR+prFomcfGOZ47/8yzM++nvi6Gvh4e+Be99R/ajlmBiiUbViN5OdNaheG8jrRcHxFeDJ0ZihD10pG9KKei+h68gvlJOIoqQmYFlcP+vNaM4srZKdDlP9fIxTBeRLGsgB+uefUX+qcwmOHVcWvL4GcrfXQYhZRm54ixj5VzVySKf4ussRI+XSMOKpvkpArZ2b0HatGUY+D3DATIt+Ps0wAwdhGFgbCjBecV59WU1GLooYYRZgGLh33FFp5LuGCcmEJJ1SEqBiGhJ96UvEXovLwdJ1pRWodw2lXJLkBYUEL/AQpq711aBnxxkHJ1dZ/b9+kemnPw2TMVPLW7jzMAzBfQd7vOcNJ+h77VojL1Js0ybQ1SSlRn6wIReUJYzBkgKuQVcBjxApvtwrrXiuhbW21gBy1Z7fPMctrdWXbfZmKa1wrTryunwsMHsMSyBPpg1G3sU21fFX0koDyB3TUR7W+n08z+FTG/fg/fmfIvOct15itwAAIABJREFUZHsbu8ixNjc52j1KHFgwqb3Mv5jscPfSPVVli72hK5mCFToayA/o0r1SI0/zFKNk5CWQ68qGkVvg2z49v9wN1feG0emQGyarA3VdfvzQEo/bNn6jxhvA8n3MNKZIZEUwwiQjash/wpTEcu99d2lXT+wxp2yfegBTT64SfkCumWok8ipXct0wbXj7/wzrp+vPFYK2ay2UVkpGDvNArhPCkwn4/ap5yfGWlDXFaMLQE3TzYg8jF46NlcPALIE8xvD152RRLaM2o7EwlslOKR0iDeRhBeStCsg3Lz0LgKerngI/raTX9k5MZhsYrotrGXukFTuNcS1D1e0PBphf1chRk3/0tGshMi4OIp5a1iWGz25XNpqRvpgLgbwEjTQkj6TytADMdQVkS/ombHafkU4xbYlz9AiG59F1uggEuwZKI8/C6qEqwpDoL7/E8NAJAteqvEWuFWVmP9IyRZTUx25YqlOUXNeRl/4pSJ7/B/8VxtZlxra/WEJqhG/5Mxq5ZVjVxKBFO4byd2W53nM93eRgpASFrBh0ycg928RanwVyq19XCnm2wWVd1uPp7kyzUIAVFcZcHXndol9Gz95gVA6LSCbILFZVK1rzbdmtWlpJxpXcArW8ElgBjmnyZ5v3Yo4GhJ/9HIWWgpzNDQxh4C2tYk9TpIQUeCLa4t7Ve5WOLkRVZYTXp1cUCAkH9VZ5vo4cIM/0kA4trQycDN/yq+EizWsvhGDa6mJICa6LbZr80OYaYTALqnbgY+UZRSoxLHXPTJN8L5CzVyP/8laIzF2EMWUnzul9wzeCYajKkZKRk1YL4a1Ex7Or0tfZhqAmI2/kn5qMHCpW7vor2BmINGPHk3TyTDNyUS3ywlZAXoacRg1GHl2DkTfOTSc7KRxibbM41UDecjzsI0eQwuDYlqqX9/XzcGBJVIy8M0hIAm0mZ5vETWnF87HSBNc2kGGoZKWvMnIUkOv2dETKxWHEwHfY6kDnmcuV+1qUXEdaMS0wLIh2yWOjGtlWPqQtnQCtVnaANMRq5XgPvEy91rDoul12hIRkTJxFmAbKLGk8Jn78CY686kF+8bseueEplSBcHnPY0PcNWyCjpGLkpgbyJ7/+20gvXcK5+DxT26tqta8VgR3UGnmeYhs2Hc+i61mYxt6RqyUjz7RE8OVegbCv6s5OidR7+krCskzFyK8oIM92lYVtGZ5tcjlSoOXoWnCjSImlTVawuI68oW+2zXWmtk50phOiPFYNMHpn1HE6FSOfpJMZICrllcAOcG2DT63fgzRNxh/5CPKKql7wD+gk5uohjAKyTPCMY5PIjAdW72Mj3CXu9FW3HoBp0ZUGdmFwqK/vHz1sI8kTTM24S6vZfDBEeB4TkWggr2v4mxFr73qr1+P7Lq9w2TT5NWN2EIbbajBbjWJhkhM3MMswJZHce088eWmMLAKEGbI7TVn9ofdy5Od/HrPdItOJ2Uim+2Pk14jmOc226DeOe66zE5gtQQRcf5m2JuDbnqSbpzU469mmwrYxJIhCEhgOMgzngHyRRt5k5B0828QRHqkmGFEWgTSwDAvDcYhX1zm1q2bLR1YbKQWr3aJi5L1hTqbJoDs3ttHwfZwswbXMqnLpqxo5QDxUDSkoE6iLgwhhJHx5UxA8fYGOZzG8kbQC6maYbpMnArOjbiQjCBCWxCl9vOeA/MhbYjZ/4n3Vj/pun4FUQxDiLMQ1TAzfJ/rSl5BRxNKD9/PaO67dDFSGN8fIS3AMHBPDMSiihtygKyr+ZO1u1n7ohwCURm7dHCO3DZv3vOEEP/u3X7Hw9aV+nvoKEK/0BHb3c+p4ZUGmgTxq5CLs9fVGsnN3D5BvxZBJA7fQTSh5TIxFmhcLpZWPPb3LD//aX/C7n7+AxxqxPVU2W8mUUaYe+o5O3rXtdqWRj5JRlewEqlrywFK1xGnQYuvEacYf/QhiSx2vf0jtxlY3jgNwprD5ogbt0yunWY+HTLuznjldYeNJONDT23yhdPKkSDB8PfdUr0n5UGmjYRbiW341gLszV22U6BmWst0hHG9yOkn4pJzOvMZvN9isqe7VaZITNjBLmBAVezXyp6+M8Yw2wpqyO00w223ab3g9AJnVQgKRTG6LkTd3GYuqVmCOkWt7iQrID74clk/i2D4tDeQTDzpponXv+kTLhdXKYVkGIGX93tfUyPXvhaGGiACB4yPJSYuUKI9nxh+mB46wpqW1pyYCCodeK68WIDuHXFsvuJa5pyFIAblRVS6ZvevkHW4jXmJAXksriIytcYxpJTyzKbDPX2FVpIyijDDNsQxRlxzNh+VBuK0YeaMG2wp0LbhtV4k6AJIJVtertsyggHynrLzII1xhIQKf8DOfAcA7XXs3Xy+qFna9kpcVKZ5tIhyDIkqrZGc+UmD86d2C5b/zHs689Z18/OCDeM71v8bACmoHwCLDMiyOrbR4893ri1+vGXmsgdxsSayuOi+/kKRaf20umNb6OvlgQBHHWiOflVZGUc4Ur26zz2JSbOVEWDHypEpofeDzV/jAZ57nv/yVT/OJJw0QUiW10gkj3XLfdTSQO+2qRX+STipdHGYZuW0anN7s8BeH7yd+8ilaT3yBXBi0NtV1OLCpxrQ9LV2+6DoEpsex7jFWowGjOSB/vQx41cjiQL9e8G3TJs1TTN0ZWWg1qBiOMHs1kC+SVgBy/ZCPbZ+zco2Hw5jP56OqmQvA7zRA0FD33zTNiby6skoYkrDYK5k9eWlM2+5iWRE703Tmd6nVIhGQU8wshDcbTUbuNJ4/4TaBfG+yM9cGcLz+R+H7/xjHdCogH3vQTdUgmCY4l8+oncNqXlrY3oCRl9KK26mYfTl8IsxC4jzBoPHsH6kTsI/tZlD4uE4yU54s9a5+XiM3PB8nT/FMQb5bAvlXpRWIRxUjN8yUQkLby3lGe9Ac3X1eSStpcW02Dg1GblSlYgBWoC1WW3M3chpWq3cZS+4Su1rnjfMEz7Ax/IBiPEY4TuWoeKOYT3ZWpZOOieFaFElWsdSygelcbnNmN+YL7/xuvrB+58wDs/AzFjDy60UJMFF/BQTcESSYnpIhPCmJZbmLaGjkawoM0zNnkFE0U/FQfhdTXJxGd2aKTZZL9UCZ7owf+eWJ5BVH+/zye17NG4+rhNpZ29aMXLe3a8Du2B3GyZhCFtVk+zKajBzgvkM9PtRWtsUbf/H/seN1sWx1vgcOKiA/V9h8yXG4p38nhjBYnu4yaM/6yr9ZbvIPd7Z52XO/BH/+r+H8n+MYjqpa0eWqeay+y3w4xOgoIA+s4JrSiuyrxeKKdLhiHeDhKCJF8rkrn6te0+o0QFAPC5nGGaHb0GZNSTiX7BxGSopc8nqYVshuOAfkZsC4rFq6LSBX95ZrGQhRy3azjPwaVSugpE8nwDVd2no6/dQVKrkc7V6bkes+BVElO6/ByEtpxa0Btatn3oZpSJLHM0BuH6tLIj+zleCaAdNsUjFyAPQuwLPNWSDX9fiBzGqfla9KK8wAuWNrCcLPeXZD3TCHrp7Vyc4czzYpJhOu/uIvVvP2qrBc5HibIjNmAMdsaRvMuQQT6XS2/hTlqLijEyRRkeGajjLJQZUozjD668QeaUUnO33bxHAsijirNPJ8NEWaJlPL47PndgmTHF87q10vZjRyXbVy3ddraWXrwVdx4sf/M15njqrf+VIS661n3JBWLD3xKHriCYA9VSugJrFbuf4usphEaGkFVHKzqiMXXJnkrLVd3nBqlf/xnW8G4IxlQTplmM8CedtR0so0nSKRM4y8SnbqB/j+gz2esPqIY8cx84ztoH6wHA2kFwubxx2be1fuIx9PCJKQnWAWyM+07meDHQ584qfhgz8M/+absU2bJE8QRYxhFRRhDeRmt8s0m85IK905aUXoXcxzqUnv4J28Io4RwKcufap6Tafb0Je1b42SVhrVEqYkzGeJzFOXFeNdby2DqaSVZiRmwFQbkTWTxTcbZS25O5fkbzJyc8ZrpVG10og9jLwoYLp9TUa+nFoz73dtRq4/223srksgz0KVrG40U3knaiD/86spHX2vCd+vtfpOuzrnGWlFn3NQJBSDF88wC16CQF4mO12rZK4ZO22g32X90pnK2N6zDYa/9/tc/pl/zsWf+u9n38fyyHdVd5/RAHKrUxvTz8QCRt53+wyyKRJIkArINRvw7j3NfsObY+QzyU7PpkiKmpGPJlj9Pr5j8RdnlGvijRKdcOuMfJqBd+Iw98cRMlU3vl8UNSOfkVZUsjh+XAG5NaeRg2LkFZDnMRl2DeSWo5OdMZgOV6cpK231faz5a3imyxnbgmTCSFe2VEBuK2mlaZhVRrNqBeCBQ3rs2cuUJ/Ruq2FXrNnS5cwiMgzuXXsZ2WW1E7nqzzKp31/+Dk7nv4L8R2fh0X8E0S6OsNTMx2SM4RTkeqJ8MRzOSSvqvNpzjNxa1gOjhcvxO++j6y1zj3/gmkBuiBCkJExzpg1GLkzJVC4G8lPLR8jFiOeTT838PjYCxjrxXXru3EqUuwx3bkd8LUYuLEt5lU9myZZrurMaeV5AOMfINZBbOfSTRv9HUShCcL068gaQL2kJcRBPyIoEy6iBvHPnHdV/D7FYDXqM0pEajKHPydCSq2vPJjsLV49QlFnVS2B8VSNnJtlp2WUNcw5CYN99iqXnnyUvJDvTBN82K7168Fu/xe5v/3b9PpZLrkdxWf1a+7S0OZHYw8jD2Ww3CshjmREKNbHItTyE3kq5p28GyNVXUG7JKiB3DAzPVUBeauTDCWa/zwOHenzmrAJy9waJTlAglhap+ie/MZAHTStcp40BmGMlO3hSEhUlkBeYOhdRMvL48ccB9mjkAFM8rNIbPEtIhUOaa23XdKtkpzQddqYJK7oaQAjBkfZhzmpGXgJ5qZF3nA5hFjKIFeuZKT/0Zxn5XZttLEPwheOqAmnU9J3XbKmlXdnuXb2P7KKyLr7izz6Al4YR610f4XVhVV0bB6FGhely1UKz3nw4xOj2CNMQ36418nlpxdZ+KxPb5+FTB+HvP87Dx7+Wz135XDWCrL9Un5thKcCaJhkTtx4BmAmTMJvdpT11eYxjGfzAK99NV5zksvd/8NjVx6rfD1on2dLGZi3n1oG83GXMV4yVu1WYBfLy/+cZuSUsHnpKMvUEEw96RQHhLCM3GtJKTytFRhDUJazXq1pp3iOBAuJLoyFpkWA3GPnS8cMkhkVoe0hhcKCzVE+h0kBu6bb7+WRnpic3eXmqkp2muZckvkDxEgPyEa6uL7Z0xt7VjSLePadpXXgOs8i5MorxNJC3Xvdagkce4eJP/hTxM6pDC8sj10OXzZW6ssTsaZ+GhdLKnEauHRV3TYPYELiWj6GHwnr37B/IHdPAEA2NPKlZruG5yEzWjHw4wuz3efnRPl98fsgwzPbNyEFtHTOZVaVy14qglELivPLgWJreg4nBgSxvAHmOp7fQZr8Ptk30ZCmt1ABZLjYT6WHoRCV5TCbmGLn2I5emQ15Illv1A3W0e4wzWiMfLmDkAJeml2b+H+Bk/yR3L93NvSv3Vsdy10aHj7sH+fIdD/Lk0fur1wrfB8uiHUp8Cce7x0kvqve85M425uxO04pZo1v2bbQFQjLBsAvyaYTMc4rRCNFukRSq/PCBw31edrjH3Zuz7+lq3/HYa6mdg2nz8ObDxHnM57dUN2qr3WDktoQ0ZJpkjF0F9MI2SIU1AygAT14acXK1RdsJ+JreP0TmLd77/76XC2PVpv/8ymv47vyH1WfcBiMvd3N7CIZtg2GAYdQ6dnke7b1APvm93+dlz0r+7deYSENr5NPtWXBuMPJOUlpr+Hsah2ZiASNf001Xl8dDChLsBiMPPIcL7VUmpstm1+Nwd52Lk4tcnl6m0GWmtt7JebYx436Yaz8jL4tV5VKvd0MZ9FbjJQfknt42l0Bu2QrkWvfej5GmHB5f5soopicT4iefxH/lQxz85z+D4bqc/5EfpYhUx1ee6JmBy7XLodVXANCscwUWSiulAdGuYRAJgWe3lLQiBN7d1/GomAshBJ5tVjLFjLTiexQpyKwE8rEC8iN9krzgM2d3btgMBDUbnabTfTFyyzTwbENV0Ogb/2Cxzm/c936OZlmlv5a5iPI87LU1sucVMDSBvFxspniYDUaeCZ3sBKWR6zryQi80pbQCcLR3jLO2RZ6MGRUxnqTyNykB/eJEsecmkHedLr/xjt/grqX6O7n/UJcvXBjza9/yYzx7x8uqnwshMHs9OhHcXZiYhkl2Sb3n8+Ys6A7ClJ4eOFICuVMUyl0ymWA6knwSVuP4Cl3ZEFgBh/o+/89738B6ZxZogqNHmFou3qk7q4qrhzYeQiD45MVPAnMShaW6HcM0JtSXSlgmCfbMFh/gyctjTm2oczjQXmd65t1EWcx7/+C95EWuHDX1XNfbYeSda2nkQig3wCDYA2ZGq1VdJ1AVLJfe/8949oDJf3iFxMQgkFI5Iy7QyK0c2rE6XyMI9rTyz8QCIN/olIx8REFa3VflcZ9bPsxVr8srj/X59nu+HYnkX/75vyT31Ouc7pI+59lkZ2Lp3UmRvajt+fBSA/Kv/e/wvvvfA2Bpjdw0UzzTI7hXMa47dp9naxxzYus5kBL/wQexNzY48NM/TfzEEwz//X+YYeTWSj1AwuqrC72Ykc/+rDTOumqq6SyOHeA/+CDtt75lz9bxRuHb5p46ct8xMQIPEMhYMYx8MMTs93jwiNrmb42TfQF5k5HvRyMHVUs+jmsgX3ESuvrhnGqv5zCZrQ4q5RWEmLlpvQYjF2lDIxd2PQi5rFrRAA9U0grA0c5RUiG4HG0zKlI61GBQSikXJmoRuVEd9AOHelydJHx5a7ynusns9bhnXPBNQhtMXbxE1OoykrOPygyQd5RNhF3kWiNXjLwYT6tGkEz70pffxaLorK/wrd/4U6y/+Wuqn/XcHqeWTlU6eZlAK4RAmJCEE3LiamasYQkS7JkOw2mScX435NS6ui79wKZINnjPfT/IEztPcH58nkvDCGEqAHxhGPleaBG+v/DZMINZRr71v/wc2dYWv/b2rmLjdlB/2w1wLqUVO4eWrhBSQH4dRm46qiGwUbWyqc2wnh8OQKS45uzf/dYbv41/+prv5hVHljjSPcJ33fddfPCZDzLQ18vV8qxqCKqve6oZuZMlyov8RapYgZcakHs93GVVOmaYeiCxGRPYAc6JE0jH4eTgPIWEYxfVgFn/QcW42m9+E9baGuOPfUxp5JqRm2v1/DxTD7kty4aqWCCtlMZZlzRIeU6b5e/8Lzjycz9386dlm1W1SimxeJZZafXFaICUJZD3OdhTjnsw2z13rSgTfdNsum8gD1xTsTTNdpetFFfoxaaoGXnz88vuWLPXQ5g1QNYauYsopZUsITMWJTsTMhYw8o6q5z0TbzOUGZ3GrVsCd8XIb1B1cZ9OeJ7dDhcC+akpfIuj7ov04gXCpdWqvr+MGSC3XAhWcfKs1sidgmI8qZJcqZZhrgfkR5cD/vFfv5/veM2xmZ8/vPEwn738WeXjolvdE8tGCIjCMYgUKQS57yIsg1TYM4DyzJUJUtIAcnUsm95JAJ7efZqLg4i2l+/r+l0v6vLDBf4/rrsQyI1Wi3w0InnuOQYf+hDbv/zL9N/1Li4cU8fRbS7MCxm5xI90I9+NGLkQyiPmld9Z/eiQBtiLoyFCZHhzf2f3++x4XV5xVD3z3/vA97Lur3Mm0w1l/VV9zrN15KmeH+DmyYvqRQ4vNSBHbXVc08Uw9IOl256FZSFO3skdAzWO7fCFp3HuvKNihkIIWo9+DZM/+iOkcNSQXUMiOo1k54oGcm/uBrhGshPgkp6O4jq3vm1ybaP2WklVxY1hCAxf19iOdpCZQKYpZr+PEIKXa1a+L0auF6EwDSuvlRtFq5wypBl530rwhG5A0dJKnOYzXaUlI2/KKlBLKxM8SCbKDCmPyYXTkFbcqvwwpWTkTY1cA3k6YERGh/pzS2llv4z89GaX0plg/vqZ3S5FakJbnUvyzJeJVzaI0oJCV0xJKWeBHKB7ADuPtUY+xnAM8tGIQtcPl2PeykV1UQgheM8bTszkBgAe2XyEKI947OpjCJ00jPW4sDicILQkIgMPYUGKPQMoT15W5aOnNnS+o0y2msoi+JnBM1wYRrR99Uxdb7G5UdRVK/tn5Ea7TfyXf8nTX/f1PP/3/wHW6irrP/ojDensGkCuGfkbYsFGDAihrs/1GDkoEF+/p/rfvqc7mCcjMDI8c/b57/o2tim4XxOAwA74kYd+pBpSHWggV3Xk9QKaaE8iO41fVC9yuE0gF0L8TSHEY0KIQgjx8At1UDcKBeR6GryIqxvPuftuTg6eR8iCjXNP4b/85TN/1370UYrxmOm5UHV1OnKGORrdJdx+infH8fqPpFzIyEvjrIuaFbjurQO5b5tVknOqa8Oh0Swx3K13ELpcsgLyfSQ7m4w8K7Ib1pFD7UleAnnPTLD1dPZJVnejNj//WkBegn0sfESRaQklJp+RVuwKyBPNyJcagLYerONIOJONGcmcjqg/t8nIBeKGXiG+Y3JqXYH/fHWF2e+RW2vw1p8gvXiR9OxZJnfdB9Sy1yTJyQs5B+SHcLJYMfJkiunbUBSkF/TAbj3m7VZA8qGNhwD4xMVPYOiStlizvTicQPkstHyEKUiFM8PIn7o8xjIEx/QQ4r5O0sWxw7q/zjODZ7g4CPHdjJbdquyMbyWupZGDqlxZBOTL7343K9//dznw/vdz7Fd/lZMf+hBmv18BeddpAOCC8sPvTHzsKEX4vioLvB4jXxDld7I9Vbsbf8418dUnlnn7yw7O7N7efvLtBF2VnPaXZhm51JV1sT5+O0teVC9yYIH7/M3FF4BvBv7VC3As+w7P9BDaEbAgrqe/33cv3Q/8Fg9eeQovHBPMAXnrta8D22b8+A55YuxZsIXb5uTXX4G3vbH+YZ6ALGbtL6mNsy7F2nvZu/UvyZvTyGsg13aoowHlfLs9QP4iaeSBYzKKsqpMq2fEGLoxqQbyfAYIrwXkJTtLTA1iyUQlNU2HrJJWXIgGkCfE0qTn2zMWC4YwOILFmSJiRMHRBiMvpYBL00v7BqL7DnV5/NJoz0JodHuqg7a9zvQjH1Tned+D8JmYaZLTci0GuityBsg7B3BGn6urVgIHkKTnzwEQeupzfPvmgXzJW+L08mn+6Pwf8b33fo96Pw1SaTRF6J2SaAUYxYDcmE12ntsJOdj3q+vZ14x8N0w50T/BM7vPcGEQcWwzoWXeuj4O15dWVn/wBxHuXldG/4H78R+4f8/PXUNPsXIbpZ8LpBWJQxHFs81Ac6+9XpiGiZAWo2SKHWQEc0D+g2++c8/fCCF4zclHif/sN7F0bbhrm0iprKhdyyTWjNyJI9VL8JWa7JRSfklK+fgLdTD7DddyQd+8GVHFOLv3qYTnN375TwD2MHKz3aL1yMOMv3RFMXJ/7vRLsE4apVBlcm4By1tylyppxfOW9vx+v+Hb5kxDkKfBpRxQUExG5NrPuxxX9rLDPYS4jjFYI262agVU0mqaZFX5YcesnQnHJZBn89KK1siXZmuuy8UmKceWJWPFyI1mHXnZ2ZkSFdaMrFLGEcPjjEwYUdBtnEMprWRFtm999/6Dde1vM8xej2I0QuY50098QjV73KHqxEudfDBdAOTdQ9hpRJLFkE4wAw20588DEOp77VZli0ePPMpnr3yW3WwElkWqZ66m8aSqNpHf8CZ697bIhVMRA1ATe1Yb+YYKyKcJJ3sneWbwZUZRimUlt1WxAtdPdnbe8mbar3/9vt+rYuReE8j3tuhLbIoonR0qAfsGcgBTuCASMDJazv6Y/MorXoV3//3VLqk856onRCftrR019unF8iKH/4QauRDi+4QQnxJCfOqKnu14q+FZXgXkaVEDuX/P3RQIXnvxMVK/hXPy5J6/bT/6KMnFIdHArlzqqig7AtMmkGtvkAVMquf2uKinvbjerXdseY2OsKgprehsejEZkyfqpigZecezef/feIC/9ciRG77/rTFyi0mcI02XXAraIqqAvCmtzFSt6GSnNS+tVEDeWCjzhEI4jWRnrZGHhTGT6CzjqBlwTuSMkHREfQ6u6VbntF/nvlLvnGfkJWvKh0Omn/gkwcMPE3izQ68XMvLuQWwJSR4pRq4d8ZLz58GyeGz6FIYwWA8WG5XdKN50+E0UsuDj5z+O4bqIljrPLJ5UjNz+5rez9IBDZjgz9cxbo0T5butouxaWIdiZptzRu4NpNkFYQ4QR31bFCoBjGbiWsa8k/I2iHArecbtQLoCLGLlwKOIGkJfP7D6lFQBbeAgjQoictrO/xbb3jndw4jd+vT5eu8wdqWsfI0iFiXFV4d2L5UUO+wByIcSHhRBfWPDPO2/mg6SUPy+lfFhK+fBaadB/i+GZHsJIcSyDOA8rxmm0WlzurmHKgtGJu5VeNhftRx8FoEgMzGAOyEs2kjTahSsgX8zIpzpp5jqdPb/f9/lcS1rR/tRyMiHTXhJNb5i//aqjnD5w45tjvmplP8nOtmsySTLiXDLBI6Bm5MNUnXSUzlat2JubYFnVkOLm+QGV5zXJRDFy0531WtHuh2Fu7kn4ARy1OkQCMgEdY/YhnW8OulHce7CLYxksB7OfU7Km5KmnSJ57juCRR+o6+HkgD2aTnY6UpKVGrht30nPnMTsdPvjM7/DaA6+dGT93M3F65TSr/iofO/sxROBj6kU+i8NKI/csD/KYwljAyDsNJisE/cBhd5pysq/IjuFeQhrxbTNygP/8Nceu6ax5M1Fr5N16t3wNRi6TfAEj3//uxzE9hKWe+9Y+gXw+akae638XRJZT2SX/lZYfSim/Vkp5/4J/PvCiHdUNwjVdVjqCf/t9r2GaTWcqAS6sKYY6uXNxd6Vz/DjOhgJDqzW3Yl9XWtn75fYQcJjBAAAgAElEQVQbLNy9idV/PrxGsrPpn2LoGYFFFJKn6me3cjO4potAqM7OIttn+aGqWpnEGRN8AsIKyEcVkM8ycrPb5cSv/zv63/otM+9VLkxZqZHHQyhSpGHPSSuqRX+SGay0917Po07N9DtzlQUlgO8XiNquxe/+vTfyHa85OvPzkjWNPvxhdR0eeaTyZw8rIFfXYU+yE1lVrZTGUNmlSyQthwuTC7zzzpviPrPHJQwePfwof/z8H7P2vn/M6BvUrMzxeFRVrfiWD1migFyzwiwv2J7OMnJQ8sruNOFET7l0Gs5lMhneNiMHeN/b7+Wtpzdu/MIbxAyQl7vlhRq5RZHks2Pe4KYYuW/5CFM96x1n/5JMM0ogL699nBXEpg3ar+erdeRz4VoumUx4xdGlyoiojK0NVYOb3nVtP/D2y5URjjEP5IukleQ6QN5IwnjmrX35UDYE1XXkVbdkNYA5Io9NjFarnlJzEyGEwLd8pZHvw/0Q1CDdNJfsTFOm0sWXUWUVMEobyc45jdk7fXrGVwPqypC8XHBDNcW+aDJyy4UsRuYJk9xcqJEfbbDZjjn7+1IbL4cx7yfuXG9XTo9llA/b6D9+GKPdxjt9TzXftNLIr5XslJKkyCCdVnM7kZIdO6Fjd3jzkTfv+9gWxaOHH2WSTvjL+7usvUINBdnaGShtlxLIIwrTqVjh9jRBSlibk6qWAlv52XgruKKN4V4hKaa3VUP+QkcprVyTkZdALi01w/QWk50AQQPIb52Ra2mlZORpTmw6FFe3gK9gIBdC/A0hxDngtcCHhBC/98Ic1vXDMz3iPKaQhfJ4bsgezz7wWv7g8CvJ7n/wmn/ffuhuAMzOnFyyUFq5drKzCeSueTuM3JjxI6+llZKRJ8o7/XpTzW8QgR1Ucy331dmpk1aXhxETPNxCMfICg7E2KJqvWrlWlAtTBeTTbQCkNZ/sTCmymITFyc5NbxVLl3Z1zdmHrQTw2/HShvphS59/Hv+hVyIsa6G0YhpidjCE18U2HHIkeTKZGUJyQQx52/G3KenjNuLVB16NYzj84bk/5MSmKn3bGQwQM9JKgjTdSqfdGimQn2fkPV9JK0IIAuMgrn+FSTq5bp37f+qoNHKnUz9/C+rIC2moGaZ7pJX9P5NtJ0CYk5nPvenjnTPAqxh5rrvQv1KBXEr5W1LKw1JKV0q5IaX8uhfqwK4XrukSZVE1OaV58+UHDvEzD387bvvaD3TwsrtZf8WAzgMHZ39RAfn+kp1LjUqV2wNypZFLbUlaArnwOgizoMiEqrK5DSD3LZ9BoqfB77NFH+DSKGLaAPJMWIRpTpYXZIXcV/ljBeQlyGpGjuHM+ZHHyCwhkSbLC6QV021zOFWsuDunf1aM/DZyFTD7sLUeUTNXgwVA3vWsPZ4htvbvSNIpIuhWzTtDt7gtWaWMwA549YFX89GzH+XQUkAsbcKpqiMXqFFzZDHSrOvIt/Qw8aZGDoqR7+rqGzPbRDiXmaZfWYx8ViMvpZXGeZgmCIHEpMgaPjS3wMi7bgthRjOfe7NR9UuU0kqaE1n1e33Flh/+VYVv+cR5XI0vazLysiHhekxReC1W7p5gzZcDle+TLtLI9y4MM4z8NjVyKdUKHiYNj3EnwLAkRS6UTfftMHIrYBirdvH9JDtLK9tLw5ix9LDzidJfhc00yWamA90oyu+isGelFWm6s3XkRQZZRIK9kJFjBxzNFJB35oG81Mhvl5E3HrbgVcqzPNAThGppJZuVVXQ4uiksTSdgBxUrF502L197+Z7X30q86cibODc+x5nxs8SGi0uCbWZ4lqcWFj3Xcg+Qzy2MSy1lFQyQRmsUxphMZrd9/V7IcIyGKZq9oGpFCMXKC5MiE4hyh5TFgKhHCO4jel593rcqk9aMvE52phrIRRDckiy633hJArlrukR5VE29aWrkncoP+Xqj3vRNPc+yLVcZ6sSNyeXXYeQvlEbuNcqWZoZFWJ4C8vT2gdy3fIaJAvKbk1Zi5SOeTyFPyA2baZLPDF6+UVTfhT0rrTAvrQBGOiHFWlh+iNPiaKpYZGdOAqjGvt0mIxe2jREEGEGAp43Yyu8jbDDyhUCud2iJLMBpVY6Hhw/c/YLZl37NYWWo9dGzH6UwXHxiLCurn4FcAXm5va+BfPZ69nzVxh+lOaNhvbP8igLyprulvVcjB/V9FTnI3MAo8x1ZpAD/Jq55u9Hwd6uMfFGyswTyF5ONw0sVyC0lrVyPkV93y1+u6vMVDkKAv6wM7Mu4Tvlhs2rlVr98qI91FKekeUOuEALDFkpaiW6TkdvBzQF5Q1qZSA8znWqLWZuwAeTzk2AWhW0aahi27aiSsPL6mg5Jrlua9QNqyJwUa2H5IXbAG8OIh8OI3lx1RSkJvBBAZC4v4z/0EEL7mTiWgW0KpmkDyIO9x+f4ChBTIcBpMXLUA33nkReGjQNstjY51D7E49uPIy0fTySYlnIApdBDSEyXrJBkecHWWE1xnx/0XHqpXxhEDIe1J/9XEpCv+CsEVkDXbUors4RJ2Db5VBtmNRn5Te6Qm/LsLWvk88nOLK8at15MfRxuv0X/ryQ80yMt0ip51/wS9sfI9c2wyJMjWIHJVv3/1yk/LK1sLWHtS664VpSsttQsm4uQ4QiK1KCI5W0z8irZuS+vFXUMl4dKIzfSsUpGGg5ZIVX7PvuTVsrXOaahHsiKkaubPC8kVmMhTLH21HcD4AS8Lox4XRjBfYvLD2+mauVacfCfvR9zdXXmZ83u28E04ejy3nvH9ldgBxIN5KEnaAFLa4dv+5iasRFscCW8guH4eNMUU0sr5WQcoa9rlBVsjWJW2+6eHUHZ3fn4xSEy62ELl1TGX1FA/q13fSuPHn5UEY8FyU5QCc9cS0SGo8+xZOQ3Ec1d/a3KpPPTvuK0qIZLfJWRL4hyxSxHezW/hHs2O/R8m43udb6MSlpZAOSt1RpooNEltvfGKI2zbkcfhxq4S83Sa3QbGrZJOtU15LepkZdzO2+GkV8exYxL18I8Ruq/3Z7oY13Qir0oVtqOct1zWg1GrtvMc1lJKwCG7WKZC963CTJzO6BSUnkhGlqCRx7BPXFi9melGySltLJ34bZbCvxTIcAOmOjbwnqB5zSuBWtshVvYXgufGGGkCsh1ks/QXiFRmnNlrhmojBLIv3hhBBgcCFQ9/VcSkLumy+GOXgQXlB+CZuST8rz1PXMLjHwGyI3bZeS1tJKXjPxFbM+HlyiQl2Vc25EChKa08sjxZT77T95WeS4vjPJLcxYx8mWYXq3/P52o1y/oEjUNk67bva2KFahZbQmOTUYuXJPsBQDy5o16c8nOiNTwEUhlamXOAfk+Gfm/+Z5X80NvPaVMuPRCWTLHJC9mHjz7Wl4Xze9rDsjLiU0958V5YALHZJqqyqJh9P+3d+4xklzVHf5OVVf1Y2Z2dnd2hrV3149ll10bbGO8gAPE2MYJNg8bJSAligQKJBYKScBCSQBHESRKIsBAgoKQECQhkUWiAAqIKIhnFOUPSNaAwMQE2wTstb3Z8ezLuzM904+bP+69VTUz3T3dXVX9mvtJo9nu6e2+1bf71K9+59xz2yQ7p0zrWwHC6cha8Xekv0pIMl+e59TyKYrlKUqyhucZa6VulKlRgat1ba1srCGH2Fp56Cltt105q1d4drsyduB0UOTNC1qgeIHJt6RV5GnLD2txKXHDLC7Kc3k+jGsgN4nFM1Vd/dBz7evcs+G298KRV23+W2VuQyDfvM1bkl3FXZkF8tbWio9q2s6H/Qep5Mmu26ZZoBM3jUKibNAE0OjqoctAftlcRQe/cEqfEIgDTr3RXBeYi+1W1q1T5OuP4aZ9N/GBmz7A0d1HyYNyqK2VC6v1zS1sDeGUXs2orZUKZ0Oz+UnGfajnK/Ms15epBkWm/Tp4a7qrorFW7PtarTVMw6z2ivxHJ3Ugv9psIL1VC+Ch0SHZ2XhGV5lF+qQfRR6kt1Y2Ns1arTdpRh55tldlGxlLj9y+0a0UeVeIwMvuaf23ypy+9G82tQpvsalEktnibGTx9Iv11iJFHibat5ZCQH9Bs1Lk3QTyUsFHRLdjbwZTegjLp8GfWzfWbqpW1hFOAUY5FYpAc5O1EpbanDjD9oE88APuuPKO3sbSA5XQZ3mt3npVpx1eRb83Ntl5uqAv+f3ZbNXYfFn3KlosFLhsRpitQNkvRwthrLWystbg9MXNy/MhVuSPn15hthxw+8Ff4CfnH2b/dLZ+fmbM7tdXxhvaRa8P5MNV5KHvIRIr8tV6A1UcTLJzeyryTlT26P7j1bP6dotNJZLsn9nPfCVdEzBb3na2hcr1SnHASOuRW7oJ5J4nVMw4lA2gK2cRs6HsmRY2UFckgrFne2pvsFZKpTZfwg7WSt5UwgIra42OgTywVpEIqlDhh3NVLu7dEXWFzAr7eVv0hBm/hnhrxiM3J3xzRXPyXJVGU20qPQT9GbMK8pLZEgdnD3Lfy+9LVX2VK1e/Dt7xAyitPylKGGq1AXhmH9+0Hnm/74GIrNvubbXepGk+y1mfzDcynorcnDFPr57GEy+1tbEOo6pYXtJ+eW2ltZduuPfF99JoNtr+vRvsirDTrayVxLZzmSnyLhdK6F2CGrGlsXoOMXWxdqzdWisRiUDuh0VgRQfyxJen3E6Rd7BW8qYS+jx5NhnIW5QfmgUsNYTzovjuFU1++LHf4li7E1OfLJS1F7/oAzW9wjlZteIbRX7ijK64apXsBK3KT56vsnc22/HlgufB9OYTou23oh9itn+sV+PvcZdkochBJzxtae5qrQlFG8idIt+ETXaeqZ6hUqhkttgC0MEbYp+8ttzRWpkJZ9bVk/dD7JFbayURyO2yY0/wpvtPRCXtp4J0d/62i4Ls5hIQq2iryHvuO50I5GLmsdZQ6xRUpdwmkPuFOOAPWDmWQ70Z9flOitycXNYElppmIU55z6bHpWVPRT/nIgrqK1QbVZPs1K8ZGEX+xFmdBGxlrUDsk18yDoG8DcnVkuInAnmfijzwglRb3a1X5I2oTYNLdrbAWitnq2dTbRTbkqQihy2TnVlQ3lC1YpeEA1EnQb+8ubdHT6/RhyK3PUb8Ulx14RlFvtRj1UpEUpEHCWslMaZKpYNVZk9IA7dWtEduE9LrepEbrCJfE2HJLFabK/emDLthJpih5JdYpIGqrVCtV03nQx3IC0U91yfOdBfI9+7I9/OdJ+sUuekCmcYjz6JwwQbyaq3JyvwlSBAQXn5FqufdirEM5FGyc/V09ll2UwscLQraItmZBVbVWpVbSiY7TVDzp9JZCb165BArcr+UUOTmsj0aa4u9GTuSaMpkLQAdyBM72FQ6BBZ7IkixAKsfKmGB5a08cnMyql31WpZqevHVXCn7QC4izFfmOaXWqDfWaKhG1PkQINgQyOfbBHKb8BxrRW4DuShEma6H9dW+A3naHIFW5HGy8+JlhzjynQcI9+9L9bxbMZaB3CryerOefdvN8gZrZe1i7oq8WNDZ7jMtPHKxgbxTXXwXJMurug7kRpEXyrEi983u7acvruEJBH6PVwnrFHlra2WmxU7rEUNS5GWjtM4s6xa2U+HmE1ikyA+9gqWq/vzkYa2ArlxZbK6y4un3X1srukrGWisnziwT+h47WixegoQiH+dAbqwVLxDEXAVRr0LQXyBP0zMJtChL9lopFrx1Vw15MZaBPHn5k7m1ElZ0sBigtSIilAo+K1EjqoRHbtrx+q16j/RAGkUeVmJ/rxDEi3hKgd+73bMp2bm5jnxmusPJORxOILctC06e0+V6rY7bqrlas8bSyhK++NFCpayZr8zzdLNK1fi5umpFK/LQKPIzyzXmpsO2c7RzghS5F0i8j0Afitx+P9Ircn9d98Ms9i7thrEM5MkG/bksYKjMxcv0B2CtQJzgDHwh8JPWilbD/nS6L1uvKzshXqZfLpUjK0P8MLpi6Nkfh9ha8QoUTFOqtY2BvNJJkZu/DbhqpWzei6fOVVvaKhCfINeaayxVl9hd2p0qcdaJ+fI8p+oXWTFBulyIFwQVE1U/7fxxgAO7KpQDn0t3jrFHHppAHnpxX6Q+kp2BH1CQQgYeucdqrUm90aTRVL1bj30y1uWHkHENefSkc7BsPfLOdeRZYXuWbAyOtlLF37gtXY/0urIT4mX606XEikw/pBLqq4du+6yswypyv6ibaAH1DdaKtW9a//8hJTvNvJw8X4285Y1YNbfWWOPpladzs1XArO5s1ljy9bh0svOUHkcxGcjbv09vOLafW48uxNVJY4iYz4oX+qYfUF13gOxjN6ZyoZy6b1Kx4HN+pR4lPJ0i78C6QJ6bIl/Se1Q2awNR5LZR1sYFNt60tjX8mXQnk36qVuwy/eliIVbShTC6eii18Im3JGpHGhIUtJrcWEdOJ1UUeeSDryOHzorcFx9BWGussbSyxO7y7paPywK7uvNxU+G0bkFQUIxyF50UeeB7Y+2PQ8JaKRa06Gr0vs2bpVwop1bkxYJHtZZo8zwgRT6WgVxEoqRE5h45xIG8Qy/yrLGXYOUNwbGwZ4FCpU7psnSrA5NJnK4VubETppKB3Cjy5Jh7InqeIgXTiGxj06yOQToclrWij3Wt3mwbyEWE0A+1R15dyqVixbJQ0YuCHjP2VMkvJYJYKZqbdouBJgVrrUixoL+v9fg96JVyUM6oaqUZK/J+rlr7YCwDOcQliPlZK6c77g6UNbZnySZFPjPL4TtPMf3cA6me3/f8KJh37ZFH1kphXQC1fnHPfVZgnSJPWit1lXiuTl+modWRx+9Zu0AOunLFKvI8asgtGxW5tlZMHXWhGG340UmRTwKxIg+1tRLt19n7cR/ZdYTDOw+nGo+uI28M3FoZW3PMXgLlYq1MzcHq+ahL3yCTnZsSiFHgSj9VlaBCrVnrOgFnrZWZYjKQh5Ff3F+yM/bIC35srTx2ZoV9KqAotc5BOjGOQVJJXCl1CuSBH3C6eppas8aeUr4eOWy0VqogPnh+dJLt5JFPAlH5YbmorZU+Nl62fOjmD6UeT6zInbXSFVZd5qbIAc49rn8PJNmpJ7yy0Xe2yb0u7ZBOlAvlrm0VgNuufhZ/+OqrOLQw3dpaSVO1UihG1Tm1RpNHTl1g1eqKQjeBfDgeOWwRyL2AJy8+CeSzqtMyHUxT9os8XkgE8sZaFMDsJX27xUCTQqTIyyVdfljv3yPPgmLgs1pr6j4r9HnV2gfjG8jNBza3ZCckAvnwkp1ZJvd6DeQ7SgG/8fMHdR1yMQ7k8dVDmqqV2FqpNRQPn7rAGkH0t7bMH4XZAwOZkyRdWyt+yMkLJ4F8A7mIsKe4i3OmaiXqtWJOgvYkO/EeeTKQ15Y77ug1CIoFj2rdJTu7ZjCK/IT+PUBFvqkSJMNAXilUuq5Y2UTSWkmT7PRDfflfWG+tPHrqAk3bzKtTIH/u6+CeB4eW7ITWfVYsoReyuLIIkKu1ArFPDtYjr0YVP6Xt4pFH1koZ7C5WMDRFXgp8lIILZltAl+zcgijZmasit4F8EB5562QnOy6F294HR1+T/jWCcv+bRK+zVvRzFPuxVkT0c/lhZK3Um1qRK78YebyjRrfWSuiHKLNxRp6KHFjXB7/oF421YhW5h+8JOzuMdRKIFLlt62D3gx2iIgc4X62Z225BUEdssjOf8kOjpM4O3iPfFMhF4GXvyOQ1erVW1hEF8iDhkfepA8Ip45FrRb5aa/Do4gW8ShHqo5mcC3yPwBdqjdbbvEWPM+9vnsvzLfNTewEIxcP3/HVL04sFn7mpEM/LsMXzCOJZRV6ZgmeIV2QPyyO3gXzFKHJXtdKZXK2V8i7923rkHTaWyOwlrUfezyKbLrlyx5WsWA+xV6KywWIUyHveHchSmoVA95EveMJjp5dZXmvgz5ZAjWYgB+2Tn1upbVm1ArrrYV7L8y0LFb1HaNlaUvXVyFq5bv9OdpTG9uvdPVaRT8/oQL6idw0bniLX3wnbJXNQ1kqqmRaRDwKvBdaAR4FfV0qdzWJgW2GtlXIeatkvQGknnH9C3x5EsjNNSV+X3HPDPdFlf88kPPK4jrzPsd750WjvxcD3eOgp3fI1LBahMbpWQCX0twzktgNi3rYKwB5jrZSsQ9qIk51vvy1dPfS4YK0VmTYdOm2zu2EF8sAq8j530OqTtKeLrwLPU0pdC/wYeHf6IXVHrooctE/eNDuODMBasWfuvlVuF4hI/yoxS2vlwItg/ggABV94ZPECYJo9DemSuBvKoU/Bk80lognsysA8l+db7OrOMh789D/gie/EbZi3CVG//h1ml65IkQ/LWtGfjdgjH4Nkp1LqK0opE+34FjCwLbhzLT+EeIMJ0Lt350xkrQzIU+uZYkZ15BsIfY9GUzE3Feo+2gOuRumFSui3bWFrsYE8z+X5FpvsLK0tw6fv1J/ZV/5Z7q87SlRuuIF9H/kw5euu0XcsDznZab6/sbUyHoo8yZuBf233RxG5W0SOi8jxxcXF1C+Wa7IT4soVP8xkVeVWtOu1MjLsvRYuvR7mDsdtbDP4kNrKlUML09rfHdVd3NFb8HUqPYS4/UGenQ8ttvywVF+F57wSfvMbMP+c3F93lBDfZ8cddyBWaIxI1YoN5OGoeOQi8jVgb4s/3auU+oJ5zL1AHbi/3fMopT4BfALg2LFjfRq1MTcfuJm1xlr/VRhbYTdhHoCtAh2W6I8KOw/A3f8GQCXULX6zyMjbWvJDC9Mwc/W6jSdGjYPzU+zeYoOPyCMfgCKfDqYpS4HSrn3w+vv1TvPbFVuQMGxFbq2VlTqBL/gDqhraMpArpW7r9HcReRPwGuAVSqnUAbpbrl+4nusXrs/vBawiH9AKQus3J1cQjiq2T3lW1grA4YVpeOl7Uz9fnvz5L12z5WMia2UAyU4RYWFmH+XZg9s7iEO84cjKab0WYQBX0a2w3+Pz1drAbBVIX7VyO/AHwMuVUsvZDGlEsLXkA1LkU1HL2BFV5Amu2TfL79x6iJceSm8fxIp8ZotHDp9utrWzgXwQ1grAe178HmbDfOvVxwL7Pa2ei4P6EIgVeW1gfVYgfR35XwFF4KvmQ/4tpdRbU49qFBiwIj92xW7ue8N1vPjK/JVcWgLf452/eCSz5wI4/KzpTJ5v2FirbxDWCsBLLn3JQF5n5El+T4dY+WQ98mdW61xaGtwWeqkCuVLqUFYDGTkGHMh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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
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     "metadata": {},
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   ],
   "source": [
    "kind = df.iplot(kind = 'box')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3 = pd.DataFrame({\n",
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