php-versions-on-github.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {
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   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/claudiucreanga/anaconda3/lib/python3.6/site-packages/matplotlib/__init__.py:1405: UserWarning: \nThis call to matplotlib.use() has no effect because the backend has already\nbeen chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\nor matplotlib.backends is imported for the first time.\n\n  warnings.warn(_use_error_msg)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib\n",
    "matplotlib.use('TkAgg')\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import datetime\n",
    "import re\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_all = pd.read_csv(\n",
    "    \"data/php-github-versions/all.csv\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>files_repo_name</th>\n",
       "      <th>version</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RoterNagel/joomla-cms</td>\n",
       "      <td>5.3.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>rindeal/allegro-php-client</td>\n",
       "      <td>&gt;=5.4\",</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Galoocom/TagooApp</td>\n",
       "      <td>&gt;=5.3.3\",</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>simudream/stapler</td>\n",
       "      <td>&gt;=5.4\",\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AndreasHeiberg/stapler</td>\n",
       "      <td>&gt;=5.4\",\\n</td>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>files_repo_name</th>\n",
       "      <th>version</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RoterNagel/joomla-cms</td>\n",
       "      <td>5.3.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>rindeal/allegro-php-client</td>\n",
       "      <td>&gt;=5.4\",</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Galoocom/TagooApp</td>\n",
       "      <td>&gt;=5.3.3\",</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>simudream/stapler</td>\n",
       "      <td>&gt;=5.4\",\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AndreasHeiberg/stapler</td>\n",
       "      <td>&gt;=5.4\",\\n</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_all.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_php7 = pd.read_csv(\n",
    "    \"data/php-github-versions/only-php7.csv\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>files_repo_name</th>\n",
       "      <th>version</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>soberwp/models</td>\n",
       "      <td>\"php\":\"&gt;=7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ClaudiuCreanga/magento2-product-stock-import-e...</td>\n",
       "      <td>\"php\":\"~7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>bluora/laravel-slack</td>\n",
       "      <td>\"php\":\"&gt;=7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RebelCodecom/bookings</td>\n",
       "      <td>\"php\":\"^5.3.9|^7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>helios-api/php-helios-hpp-sdk</td>\n",
       "      <td>\"php\":\"^5.6|^7</td>\n",
       "    </tr>\n",
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       "      <th></th>\n",
       "      <th>files_repo_name</th>\n",
       "      <th>version</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>soberwp/models</td>\n",
       "      <td>\"php\":\"&gt;=7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ClaudiuCreanga/magento2-product-stock-import-e...</td>\n",
       "      <td>\"php\":\"~7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>bluora/laravel-slack</td>\n",
       "      <td>\"php\":\"&gt;=7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RebelCodecom/bookings</td>\n",
       "      <td>\"php\":\"^5.3.9|^7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>helios-api/php-helios-hpp-sdk</td>\n",
       "      <td>\"php\":\"^5.6|^7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_php7.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "      <th>version</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>114134</td>\n",
       "      <td>114133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>114134</td>\n",
       "      <td>1125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>APlusLabs/maxerp</td>\n",
       "      <td>&gt;=5.3.3\",</td>\n",
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       "      <th>freq</th>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>files_repo_name</th>\n",
       "      <th>version</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>114134</td>\n",
       "      <td>114133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>114134</td>\n",
       "      <td>1125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>APlusLabs/maxerp</td>\n",
       "      <td>&gt;=5.3.3\",</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>20741</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "data_all.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_all_version_dummies = data_all[\"version\"]\\\n",
    "    .str.replace(\"|\", \",\")\\\n",
    "    .str.replace('\"',\"\")\\\n",
    "    .str.replace(\"'\",\"\")\\\n",
    "    .str.replace(\" \",\"\")\\\n",
    "    .str.replace(\"\\t\",\"\")\\\n",
    "    .str.replace(\"\\n\",\"\")\\\n",
    "    .str.replace(\"-\", \",\")\\\n",
    "    .str.get_dummies(sep=\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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'^7.0<7.2', '^7.1', '^7.1.0', '^7.1.1', '^7.1.3', '^7.1.4',\n       '^7.1.8', '^7.2', 'dev', '~5', '~5.2', '~5.3', '~5.3.0', '~5.3.3',\n       '~5.3.8', '~5.4', '~5.4.0', '~5.4.11', '~5.5', '~5.5.0', '~5.5.11',\n       '~5.5.12', '~5.5.16', '~5.5.18', '~5.5.22', '~5.5.9', '~5.6',\n       '~5.6.0', '~5.6.1', '~5.6.10', '~5.6.12', '~5.6.19', '~5.6.3',\n       '~5.6.30', '~5.6.5', '~5.6.7', '~5.6.9', '~6.0', '~7', '~7.0',\n       '~7.0.0', '~7.0.3', '~7.0.6', '~7.0.7', '~7.0.8', '~7.0.9', '~7.1',\n       '~7.1.0', '~7.1.1', '~7.2.0', '\\xa0\\xa0\\xa0\\xa0>=5.3.2'], dtype=object)"
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     },
     "execution_count": 91,
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   ],
   "source": [
    "data_all_version_dummies.columns.values"
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  },
  {
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   "execution_count": 92,
   "metadata": {},
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     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
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    "data_all_version_dummies.head()"
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  {
   "cell_type": "code",
   "execution_count": 100,
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     "output_type": "stream",
     "text": [
      "'5.*', '5.3', '5.3.0', '5.3.10', '5.3.29', '5.3.3', '5.3.6', '5.3.8', '5.3.9', '5.4', '5.4.*', '5.4.0', '5.4.16', '5.4.37', '5.4.43', '5.4.45', '5.4.8', '5.4>=', '5.5', '5.5.*', '5.5.0', '5.5.11', '5.5.12', '5.5.14', '5.5.33', '5.5.38', '5.5.5', '5.5.9', '5.5.x', '5.6', '5.6.*', '5.6.0', '5.6.11', '5.6.14', '5.6.16', '5.6.17', '5.6.24', '5.6.26', '5.6.3', '5.6.30', '5.6.31', '5.6.8', '5.6.9', '7', '7.*', '7.*.*', '7.0', '7.0.*', '7.0.0', '7.0.10', '7.0.15', '7.0.2', '7.0.4', '7.0.5', '7.0.6', '7.0.7', '7.0.x', '7.1', '7.1.*', '7.1.0', '7.1.1', '7.1.9', '7.1.x', '7.2', '<5.4', '<5.5', '<5.6', '<5.7', '<5.7.0', '<6.0.0', '<7', '<7.0', '<7.1', '<7.2', '<7.2.0', '<7.3.0', '<=5.5.10', '<=5.5.38', '<=5.6.23', '<=5.6.99', '<=7.1', '<=7.1.99', '=5.4.0', '=5.4.4', '=5.6.16', '>4.4.0', '>5.0', '>5.0.0', '>5.2', '>5.2.4', '>5.3', '>5.3.0', '>5.3.10', '>5.3.2', '>5.3.3', '>5.3.3<', '>5.3.3<7.1', '>5.3.8', '>5.3.9', '>5.4', '>5.4.0', '>5.4.1', '>5.4.10', '>5.4.16', '>5.5', '>5.5.0', '>5.5.9', '>5.6', '>5.6.0', '>5.6.4', '>7', '>7.0', '>7.0.0', '>7.1', '>7.1.0', '>=.0', '>=2.0.0', '>=3.0.18', '>=3.3', '>=4', '>=4.0', '>=4.0.0', '>=4.0.4', '>=4.0.6', '>=4.1.0', '>=4.2', '>=4.2.0', '>=4.3', '>=4.3.0', '>=4.3.10', '>=4.3.2', '>=4.4.0', '>=4.4.9', '>=5', '>=5.0', '>=5.0.0', '>=5.0.1', '>=5.0.2', '>=5.0.3', '>=5.0.5', '>=5.1', '>=5.1.0', '>=5.1.2', '>=5.1.3', '>=5.1.6', '>=5.2', '>=5.2.0', '>=5.2.1', '>=5.2.10', '>=5.2.11', '>=5.2.12', '>=5.2.14', '>=5.2.17', '>=5.2.2', '>=5.2.20', '>=5.2.3', '>=5.2.4', '>=5.2.5', '>=5.2.6', '>=5.2.7', '>=5.2.8', '>=5.2.9', '>=5.3', '>=5.3.*', '>=5.3.0', '>=5.3.0<5.5', '>=5.3.1', '>=5.3.10', '>=5.3.12', '>=5.3.13', '>=5.3.14', '>=5.3.15', '>=5.3.16', '>=5.3.17', '>=5.3.18', '>=5.3.19', '>=5.3.2', '>=5.3.23', '>=5.3.24', '>=5.3.26', '>=5.3.27', '>=5.3.28', '>=5.3.29', '>=5.3.3', '>=5.3.3.', '>=5.3.3.3', '>=5.3.3<5.5', '>=5.3.4', '>=5.3.5', '>=5.3.6', '>=5.3.6<7.0.0', '>=5.3.7', '>=5.3.8', '>=5.3.9', '>=5.3.9<7.0', '>=5.3<', '>=5.4', '>=5.4.0', '>=5.4.0<', '>=5.4.0<7.0.0', '>=5.4.1', '>=5.4.10', '>=5.4.11', '>=5.4.12', '>=5.4.13', '>=5.4.14', '>=5.4.16', '>=5.4.17', '>=5.4.19', '>=5.4.2', '>=5.4.20', '>=5.4.21', '>=5.4.22', '>=5.4.23', '>=5.4.24', '>=5.4.26', '>=5.4.27', '>=5.4.28', '>=5.4.29', '>=5.4.3', '>=5.4.30', '>=5.4.31', '>=5.4.34', '>=5.4.35', '>=5.4.36', '>=5.4.37', '>=5.4.38', '>=5.4.39', '>=5.4.4', '>=5.4.40', '>=5.4.41', '>=5.4.42', '>=5.4.43', '>=5.4.45', '>=5.4.5', '>=5.4.6', '>=5.4.7', '>=5.4.8', '>=5.4.9', '>=5.4<', '>=5.4<5.5', '>=5.4<7', '>=5.5', '>=5.5.', '>=5.5.*', '>=5.5.0', '>=5.5.0<6.0', '>=5.5.1', '>=5.5.10', '>=5.5.11', '>=5.5.12', '>=5.5.13', '>=5.5.14', '>=5.5.15', '>=5.5.16', '>=5.5.18', '>=5.5.19', '>=5.5.2', '>=5.5.21', '>=5.5.23', '>=5.5.24', '>=5.5.29', '>=5.5.3', '>=5.5.30', '>=5.5.31', '>=5.5.32', '>=5.5.33', '>=5.5.34', '>=5.5.36', '>=5.5.37', '>=5.5.38', '>=5.5.4', '>=5.5.5', '>=5.5.6', '>=5.5.8', '>=5.5.9', '>=5.5<7.0', '>=5.6', '>=5.6.*', '>=5.6.0', '>=5.6.1', '>=5.6.10', '>=5.6.11', '>=5.6.12', '>=5.6.13', '>=5.6.14', '>=5.6.15', '>=5.6.16', '>=5.6.17', '>=5.6.18', '>=5.6.19', '>=5.6.19<7.2', '>=5.6.2', '>=5.6.20', '>=5.6.21', '>=5.6.22', '>=5.6.23', '>=5.6.24', '>=5.6.25', '>=5.6.26', '>=5.6.28', '>=5.6.29', '>=5.6.3', '>=5.6.30', '>=5.6.4', '>=5.6.4<', '>=5.6.5', '>=5.6.6', '>=5.6.7', '>=5.6.8', '>=5.6.9', '>=5.6<7.2', '>=5.6<=7.1', '>=5.7', '>=7', '>=7.0', '>=7.0.0', '>=7.0.0<7.2', '>=7.0.0<7.2.0', '>=7.0.1', '>=7.0.10', '>=7.0.10<7.2', '>=7.0.11', '>=7.0.12', '>=7.0.13', '>=7.0.14', '>=7.0.15', '>=7.0.2', '>=7.0.2<=7.0.4', '>=7.0.3', '>=7.0.4', '>=7.0.6', '>=7.0.7', '>=7.0.8', '>=7.0.9', '>=7.00.0', '>=7.0<7.2', '>=7.0<7.3', '>=7.0<=7.1', '>=7.1', '>=7.1.0', '>=7.1.0<.0', '>=7.1.1', '>=7.1.2', '>=7.1.3', '>=7.1.4', '>=7.1.5', '>=7.1.7', '>=7.1.8', '>=7.2', '>=7.2.0', '>=7”', '^5', '^5.0', '^5.0.0', '^5.1', '^5.2', '^5.2.4', '^5.3', '^5.3.0', '^5.3.10', '^5.3.2', '^5.3.3', '^5.3.5', '^5.3.6', '^5.3.9', '^5.4', '^5.4.0', '^5.4.25', '^5.4.3', '^5.4.37', '^5.4.4', '^5.4.7', '^5.4.8', '^5.5', '^5.5.0', '^5.5.10', '^5.5.11', '^5.5.12', '^5.5.14', '^5.5.16', '^5.5.3', '^5.5.6', '^5.5.9', '^5.6', '^5.6.0', '^5.6.1', '^5.6.10', '^5.6.13', '^5.6.19', '^5.6.2', '^5.6.23', '^5.6.24', '^5.6.25', '^5.6.30', '^5.6.4', '^5.6.6', '^7', '^7.0', '^7.0.0', '^7.0.1', '^7.0.10', '^7.0.16', '^7.0.3', '^7.0.4', '^7.0.5', '^7.0.6', '^7.0.7', '^7.0.8', '^7.0.9', '^7.0<7.2', '^7.1', '^7.1.0', '^7.1.1', '^7.1.3', '^7.1.4', '^7.1.8', '^7.2', '~5', '~5.2', '~5.3', '~5.3.0', '~5.3.3', '~5.3.8', '~5.4', '~5.4.0', '~5.4.11', '~5.5', '~5.5.0', '~5.5.11', '~5.5.12', '~5.5.16', '~5.5.18', '~5.5.22', '~5.5.9', '~5.6', '~5.6.0', '~5.6.1', '~5.6.10', '~5.6.12', '~5.6.19', '~5.6.3', '~5.6.30', '~5.6.5', '~5.6.7', '~5.6.9', '~6.0', '~7', '~7.0', '~7.0.0', '~7.0.3', '~7.0.6', '~7.0.7', '~7.0.8', '~7.0.9', '~7.1', '~7.1.0', '~7.1.1', '~7.2.0', "
     ]
    }
   ],
   "source": [
    "data_all_version_dummies_cleaned = data_all_version_dummies.copy().drop([\"DEV\", \"dev\", \"\\xa0\\xa0\\xa0\\xa0>=5.3.2\", \"<\", \"<=\"], axis=1)\n",
    "for x in data_all_version_dummies_cleaned.columns.values:\n",
    "    print(\"'{}', \".format(x), end=\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "any_5_version = ['^5', '^5.0', '^5.0.0', '5.*', '<5.7.0', '<6.0.0', '<7', '<7.0', '~5', '>=5', '>=5.0', '>=5.0.0', '>5.0', '>5.0.0', '>=5.0.5',\n",
    "                 '>=5.0.2', '>=5.0.3', '>=5.0.1']\n",
    "stuck_on_5_from_5_1 = ['^5.1'] \n",
    "stuck_on_5_from_5_2 = ['^5.2', '^5.2.4', '~5.2']\n",
    "stuck_on_5_3 = ['5.3', '5.3.0', '5.3.10', '5.3.29', '5.3.3', '5.3.6', '5.3.8', '5.3.9', '<5.4', '~5.3.0', '~5.3.3', '~5.3.8']\n",
    "stuck_on_5_from_5_3 = ['^5.3', '^5.3.0', '^5.3.10', '^5.3.2', '^5.3.3', '^5.3.5', '^5.3.6', '^5.3.9', '~5.3', '>=5.3.6<7.0.0', '>=5.3.9<7.0']\n",
    "stuck_on_5_4 = ['5.4', '5.4.*', '5.4.0', '5.4.16', '5.4.37', '5.4.43', '5.4.45', '5.4.8', '<5.5', '~5.4.0', '~5.4.11', '=5.4.0', '=5.4.4']\n",
    "stuck_on_5_from_5_4 = ['^5.4', '^5.4.0', '^5.4.25', '^5.4.3', '^5.4.37', '^5.4.4', '^5.4.7', '^5.4.8', '~5.4', '>=5.4.0<7.0.0', '>=5.4<7']\n",
    "stuck_on_5_5 = ['5.5', '5.5.*', '5.5.0', '5.5.11', '5.5.12', '5.5.14', '5.5.33', '5.5.38', '5.5.5', '5.5.9', '5.5.x', '<5.6', \n",
    "                '~5.5.11', '~5.5.12', '~5.5.16', '~5.5.18', '~5.5.22', '~5.5.9', '~5.5.0', '<=5.5.10', '<=5.5.38']\n",
    "stuck_on_5_from_5_5 = ['^5.5', '^5.5.0', '^5.5.10', '^5.5.11', '^5.5.12', '^5.5.14', '^5.5.16', '^5.5.3', '^5.5.6', '^5.5.9', '~5.5', '>=5.5<7.0',\n",
    "                       '>=5.5.0<6.0']\n",
    "stuck_on_5_6 = ['5.6', '5.6.*', '5.6.0', '5.6.11', '5.6.14', '5.6.16', '5.6.17', '5.6.24', '5.6.26', '5.6.3', '5.6.30', '5.6.31','5.6.8', '5.6.9',\n",
    "                '~5.6.0', '~5.6.1', '~5.6.10', '~5.6.12', '~5.6.19', '~5.6.3', '~5.6.30', '~5.6.5', '~5.6.7', '~5.6.9', '~5.6', '<5.7'\n",
    "                '^5.6', '^5.6.0', '^5.6.1', '^5.6.10', '^5.6.13', '^5.6.19', '^5.6.2', '^5.6.23', '^5.6.24', '^5.6.25', '^5.6.30', '^5.6.4', '^5.6.6',\n",
    "                '=5.6.16', '<=5.6.23', '<=5.6.99']\n",
    "stuck_on_7_0 = ['7.0', '7.0.*', '7.0.0', '7.0.10', '7.0.15', '7.0.2', '7.0.4', '7.0.5', '7.0.6', '7.0.7', '7.0.x', '<7.1',\n",
    "                '~7.0.0', '~7.0.3', '~7.0.6', '~7.0.7', '~7.0.8', '~7.0.9', '>=7.0.2<=7.0.4']\n",
    "only_7_1 = ['7.1', '7.1.*', '7.1.0', '7.1.1', '7.1.9', '7.1.x', '^7.1', '^7.1.0', '^7.1.1', '^7.1.3', '^7.1.4', '^7.1.8', '~7.1', '~7.1.0', '~7.1.1',\n",
    "            '>=7.1', '>=7.1.0', '>=7.1.0<.0', '>=7.1.1', '>=7.1.2', '>=7.1.3', '>=7.1.4', '>=7.1.5', '>=7.1.7', '>=7.1.8', '>7.1', '>7.1.0']\n",
    "both_7_0_and_7_1 = ['7', '7.*', '7.*.*', '~7', '~7.0', '<7.2', '<7.2.0', '<7.3.0', '^7', '^7.0', '^7.0.0', '^7.0.1', '^7.0.10', '^7.0.16', \n",
    "                 '^7.0.3', '^7.0.4', '^7.0.5', '^7.0.6', '^7.0.7', '^7.0.8', '^7.0.9', '^7.0<7.2', '>=7”', '>=7.0.3', '>=7.0.4', '>=7.0.6',\n",
    "                    '>=7.0.7', '>=7.0.8', '>=7.0.9', '>=7.00.0', '>=7.0<7.2', '>=7.0<7.3', '>=7.0<=7.1', '>=7', '>=7.0', '>=7.0.0', '>=7.0.0<7.2',\n",
    "                    '>=7.0.0<7.2.0', '>=7.0.1', '>=7.0.10', '>=7.0.10<7.2', '>=7.0.11', '>=7.0.12', '>=7.0.13', '>=7.0.14', '>=7.0.15', '>=7.0.2',\n",
    "                    '<=7.1', '<=7.1.99', '>7', '>7.0', '>7.0.0', '>=5.7']\n",
    "both_5_and_7_explicit = ['>=5.6<7.2', '>=5.6<=7.1', '>5.3.3<7.1', '>=5.6.19<7.2']\n",
    "from_5_1_to_7_optimistic = ['>=5.1', '>=5.1.0', '>=5.1.2', '>=5.1.3', '>=5.1.6']\n",
    "from_5_2_to_7_optimistic = ['>=5.2', '>=5.2.0', '>=5.2.1', '>=5.2.10', '>=5.2.11', '>=5.2.12', '>=5.2.14', '>=5.2.17', '>=5.2.2', '>=5.2.20',\n",
    "                            '>=5.2.3', '>=5.2.4', '>=5.2.5', '>=5.2.6', '>=5.2.7', '>=5.2.8', '>=5.2.9','>5.2', '>5.2.4']\n",
    "from_5_3_to_7_optimistic = ['>5.3', '>5.3.0', '>5.3.10', '>5.3.2', '>5.3.3', '>5.3.3<', '>5.3.8', '>5.3.9', '>=5.3', '>=5.3.*', '>=5.3.0',\n",
    "                            '>=5.3.1', '>=5.3.10', '>=5.3.12', '>=5.3.13', '>=5.3.14', '>=5.3.15', '>=5.3.16', '>=5.3.17', '>=5.3.18', '>=5.3.19',\n",
    "                            '>=5.3.2', '>=5.3.23', '>=5.3.24', '>=5.3.26', '>=5.3.27', '>=5.3.28', '>=5.3.29', '>=5.3.3', '>=5.3.3.', '>=5.3.3.3',\n",
    "                            '>=5.3.4', '>=5.3.5', '>=5.3.6', '>=5.3.7', '>=5.3.8', '>=5.3.9', '>=5.3<']\n",
    "from_5_4_to_7_optimistic = ['>=5.4', '>=5.4.0', '>=5.4.0<', '>=5.4.1', '>=5.4.10', '>=5.4.11', '>=5.4.12', '>=5.4.13', '>=5.4.14', '>=5.4.16', \n",
    "                           '>=5.4.17', '>=5.4.19', '>=5.4.2', '>=5.4.20', '>=5.4.21', '>=5.4.22', '>=5.4.23', '>=5.4.24', '>=5.4.26', '>=5.4.27', \n",
    "                           '>=5.4.28', '>=5.4.29', '>=5.4.3', '>=5.4.30', '>=5.4.31', '>=5.4.34', '>=5.4.35', '>=5.4.36', '>=5.4.37', '>=5.4.38', \n",
    "                           '>=5.4.39', '>=5.4.4', '>=5.4.40', '>=5.4.41', '>=5.4.42', '>=5.4.43', '>=5.4.45', '>=5.4.5', '>=5.4.6', '>=5.4.7', \n",
    "                           '>=5.4.8', '>=5.4.9', '>=5.4<', '>5.4', '>5.4.0', '>5.4.1', '>5.4.10', '>5.4.16']\n",
    "from_5_5_to_7_optimistic = ['>=5.5.1', '>=5.5.10', '>=5.5.11', '>=5.5.12', '>=5.5.13', '>=5.5.14', '>=5.5.15', '>=5.5.16', '>=5.5.18', '>=5.5.19',\n",
    "                            '>=5.5.2', '>=5.5.21', '>=5.5.23', '>=5.5.24', '>=5.5.29', '>=5.5.3', '>=5.5.30', '>=5.5.31', '>=5.5.32', '>=5.5.33',\n",
    "                            '>=5.5.34', '>=5.5.36', '>=5.5.37', '>=5.5.38', '>=5.5.4', '>=5.5.5', '>=5.5.6', '>=5.5.8', '>=5.5.9', \n",
    "                            '>=5.5', '>=5.5.', '>=5.5.*', '>=5.5.0', '>5.5', '>5.5.0', '>5.5.9']\n",
    "from_5_6_to_7_optimistic = ['>=5.6', '>=5.6.*', '>=5.6.0', '>=5.6.1', '>=5.6.10', '>=5.6.11', '>=5.6.12', '>=5.6.13', '>=5.6.14', '>=5.6.15',\n",
    "                             '>=5.6.16', '>=5.6.17', '>=5.6.18', '>=5.6.19', '>=5.6.2', '>=5.6.20', '>=5.6.21', '>=5.6.22', '>=5.6.23',\n",
    "                            '>=5.6.24', '>=5.6.25', '>=5.6.26', '>=5.6.28', '>=5.6.29', '>=5.6.3', '>=5.6.30', '>=5.6.4', '>=5.6.4<',\n",
    "                            '>=5.6.5', '>=5.6.6', '>=5.6.7', '>=5.6.8', '>=5.6.9', '>5.6', '>5.6.0', '>5.6.4']\n",
    "\n",
    "stuck_on_4 = ['>=4', '>=4.0', '>=4.0.0', '>=4.0.4', '>=4.0.6', '>=4.1.0', '>=4.2', '>=4.2.0', '>=4.3', '>=4.3.0', '>=4.3.10', '>=4.3.2', '>=4.4.0', \n",
    "              '>=4.4.9', '>4.4.0']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_stuck_on_4 = data_all_version_dummies_cleaned.filter(stuck_on_4, axis=1).sum().sum() # 71\n",
    "\n",
    "final_from_5_6_to_7_optimistic = data_all_version_dummies_cleaned.filter(from_5_6_to_7_optimistic, axis=1).sum().sum() # 6024\n",
    "final_from_5_5_to_7_optimistic = data_all_version_dummies_cleaned.filter(from_5_5_to_7_optimistic, axis=1).sum().sum() # 17030\n",
    "final_from_5_4_to_7_optimistic = data_all_version_dummies_cleaned.filter(from_5_4_to_7_optimistic, axis=1).sum().sum() # 25504\n",
    "final_from_5_3_to_7_optimistic = data_all_version_dummies_cleaned.filter(from_5_3_to_7_optimistic, axis=1).sum().sum() # 44096\n",
    "final_from_5_2_to_7_optimistic = data_all_version_dummies_cleaned.filter(from_5_2_to_7_optimistic, axis=1).sum().sum() # 10474\n",
    "final_from_5_1_to_7_optimistic = data_all_version_dummies_cleaned.filter(from_5_1_to_7_optimistic, axis=1).sum().sum() # 276\n",
    "\n",
    "final_both_5_and_7_explicit = data_all_version_dummies_cleaned.filter(both_5_and_7_explicit, axis=1).sum().sum() # 6\n",
    "\n",
    "final_both_7_0_and_7_1 = data_all_version_dummies_cleaned.filter(both_7_0_and_7_1, axis=1).sum().sum() # 7776\n",
    "final_only_7_1 = data_all_version_dummies_cleaned.filter(only_7_1, axis=1).sum().sum() # 1147\n",
    "final_stuck_on_7_0 = data_all_version_dummies_cleaned.filter(stuck_on_7_0, axis=1).sum().sum() # 304\n",
    "\n",
    "final_stuck_on_5_6 = data_all_version_dummies_cleaned.filter(stuck_on_5_6, axis=1).sum().sum() # 792\n",
    "final_stuck_on_5_from_5_5 = data_all_version_dummies_cleaned.filter(stuck_on_5_from_5_5, axis=1).sum().sum() # 1326\n",
    "final_any_5_version =data_all_version_dummies_cleaned.filter(any_5_version, axis=1).sum().sum() # 482\n",
    "final_stuck_on_5_from_5_1 =data_all_version_dummies_cleaned.filter(stuck_on_5_from_5_1, axis=1).sum().sum()  # 2\n",
    "final_stuck_on_5_from_5_2 =data_all_version_dummies_cleaned.filter(stuck_on_5_from_5_2, axis=1).sum().sum() # 4\n",
    "final_stuck_on_5_3 =data_all_version_dummies_cleaned.filter(stuck_on_5_3, axis=1).sum().sum() # 243\n",
    "final_stuck_on_5_from_5_3 =data_all_version_dummies_cleaned.filter(stuck_on_5_from_5_3, axis=1).sum().sum() # 601\n",
    "final_stuck_on_5_4 =data_all_version_dummies_cleaned.filter(stuck_on_5_4, axis=1).sum().sum() # 41\n",
    "final_stuck_on_5_from_5_4 =data_all_version_dummies_cleaned.filter(stuck_on_5_from_5_4, axis=1).sum().sum() # 574\n",
    "final_stuck_on_5_5 =data_all_version_dummies_cleaned.filter(stuck_on_5_5, axis=1).sum().sum() # 248\n",
    "\n",
    "# 4313\n",
    "stuck_on_5 = final_stuck_on_5_6 + final_stuck_on_5_from_5_5 + final_any_5_version + final_stuck_on_5_from_5_1 + final_stuck_on_5_from_5_2 + final_stuck_on_5_3 + final_stuck_on_5_from_5_3 + final_stuck_on_5_4 + final_stuck_on_5_from_5_4 + final_stuck_on_5_5 \n",
    "\n",
    "# 9227\n",
    "only_7 = final_both_7_0_and_7_1 + final_only_7_1 + final_stuck_on_7_0\n",
    "\n",
    "# 103410\n",
    "both_5_and_7 = final_both_5_and_7_explicit+final_from_5_6_to_7_optimistic +final_from_5_5_to_7_optimistic+final_from_5_4_to_7_optimistic+final_from_5_3_to_7_optimistic+final_from_5_2_to_7_optimistic+final_from_5_1_to_7_optimistic\n",
    "\n",
    "final_all = 118359\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def make_autopct(values):\n",
    "    def my_autopct(pct):\n",
    "        total = sum(values)\n",
    "        val = int(round(pct*total/100.0))\n",
    "        return '{p:.2f}%  ({v:,})'.format(p=pct,v=val)\n",
    "    return my_autopct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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s2Yc65543sxm+s2zMA9s11L5jiXd95xAR8WQi8GQ6FczSmMqSr9TdQnJe3azZ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\nBowJcqoAoEgCvznfjRUf8+LC+Qq+93IGn3u7HZ9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k5mWawEPDizq/5ryxPV/3t2WT6q+f\nuDXhEyjb9QRERAfhsUAo+H6zizCLlUPyTQAaMdr+DQDw+bq6D8yyOxaaV9WudnM7Vs5EdvkC2bOp\njNrNKSktekw4MXRlIuY+Rcqy4wDt4d7wSV3fd12XtxHl0978+7b/Wf/cjHzdn4jIgnoDoWCT2UWY\nxZIhebHP5wDwIwDbAeyacP6dxqZPeWW5qNq57dVuztfdplSbXVMh2JPqyLFDifCHUzHf2yW1xux6\nqDh8NXxm1y9cl+ctKD/w2M29rXqmMV/3JyKyoLZAKLhl/5dZj1VD8hwAX8K4/si1suz6emPTF8yr\namriQo+vrTSGls8un3ZzjoQaPn4oPnJ1Jl6xSKhF9SGGCks3YHxu5KJtf3Gem5duFIdtf3Pw3ld+\nXi1xnjwR0VRdEAgF/2R2EWawao/bOXsfONLpajGjkAPlMSTPojA8i14Drn0NGJYykWCNPrx8riRW\nLJSrI9Vy3rf0LbS0W6l63l1R9Twq4IpnB08Mx6NXZ+KVRwit0uzaqLAkAfFd/x9aIhHf9uecpzZP\n9/3XNS+oedXb0PW2eH9eFwoSEVnIWwGUZUi26kjyFwE0Ydx85Gurq09Z5HKfbF5V02OHooffrNMj\nyw6X5NUL5Vort5vzRLMDJw/H49dkYlWHSbrlR9Rpt4wusldEbxh6xXFCw3TfuyI2mHj4mTtluxDc\nap2IaP/+FQgFF5tdhBksF5IX+3wygJ8A6AOg7Tz+5fqGy5pttn1GmEvZWLu5wdcbjdjyedZuN+eP\nZPoXD8cT16rx2nahe82uh/IvqYn0hfEvRt+wH1k73ff+8Mu/7Lq493WOJhMR7V8UQGU5bipixZDc\nDOB2jNuKGgDubWr+gkOSXOZUVRg7282tbkHqtfmS05Lt5gzDqIpk+t89HE9drcbrZkhGWe52WC5i\nqpQ4J/GVzCb73GmdeiOrWf2RJ24eqYTBOfBERPt3RCAUfNPsIgrNiiH5rQCuw7iQPMdur/5sXf0n\nzavKHFkY2U6PPrBiJtLLF8hey7WbMwyjZiTTd8ZILH2VmqivlwxLfwgqV+GMEj0rfYex3dY6rVNu\nTlz3r+23rHli2uc9ExFZ0NWBUPAhs4soNCuG5MsAnASgZ+exc/z+haf7/B8wr6rikIKR3uDXBla0\nC3XFEbJvm5XazemGXj+c7j0rElM/pCcaagQ439RC+tP24dPVu+xDct20fnPwwydu3T5bTTIoExFN\n7v5AKHi92UUUmhVD8u0AHADiO4/dUFN7+nyn823mVVWcdrWb64Cx/Ei5cqDRIu3mdENrDqd63x+N\n6ZdpycYKCZacp11utqZcg2dqd3uicuW0LVZt698w/OMXf+KXhLDWtCQioum1LBAKHmd2EYVmqZC8\n2OdzYXQTka0Adr2xbzQ0XlujKCXRAs5MI5IeWWO1dnOaoc4Mp3rPi8ZwiZFs9ArLtj0sC+sTvv6z\ncW9VWnJP2wefm567t+vkaDcX8RER5ZYF4AuEgmmzCykkq4Xk2QBuxrhNRCRAfL+55WZZCIajA7Sz\n3dzywyR51UK5Nukr7XZzQtUz7eFU3wWxmHSRnmx0SkI2uyY6cKvi1T3ni3vqVck+Lb9+nuRI+pGn\nvq45heAiUCKi3E4IhIIvm11EIVktOLYC2GNh2my7o4oB+eDUqVLVKT1S1Sk9gP68bvTa1YE3Go34\na/Mk25sLlLqsU7Jte3AboiujUPwK5t4xd8L7pLense3BbUh1pdBwfgNqz9jd0WvgHwMIPx8GDKDq\n5CrUnjZ6rvcPvYiujsI104UZH50BAAi/GIYW11D73v13BNMzOjrv7sSsL86CkAQ6v9uJxMaEvfMw\nT+vmz7Thu1k9PTec7L4oHlfOM5KN9nFft3/3v2l8/pk0dnzei1q3BMMw8Omn0vjb+izcNoFfnOvC\noqbRfPbFZ1J4cr0KALj1JAcuPmJ0gPOSPybwjcUOzK1hDp9uR3mGmh6O3rTtMnFXiyHkQ16IGndV\nOH43861bPrz11ZnTUR8RkUUdDaCsQrLV5uEFACTHH+iw2+tNqsVSJAjRnJFr37tFabv5H1Lzw/dq\n0l33pvvOT3t6TjmnZRCTfCEhe2U0XdaE2tP3DLepbSmEnw9j9m2zMecbcxBdFUW6Nw0toSGxIYG5\nt8+FoRtIbU1Bz+gY/s8wat5VM6V6w/8Ow3+sH2KsmUftmbW7wjYAGDbJsa7eM/P2WfXNb2ltTV/s\nrt7yqOHo2TysGc9sUjGzYnf2+vsGFeuHNKz/pBcPvM+J658c/S325LoslvdqWHmdB69c68Fd/00j\nkh79ibj+ODu+82JmSrXSgXu7r3fGT7O3bjWM6Wnb+YdjLmgdgDw4LTcjIrKm+WYXUGiWCcmLfT4B\nYB6AyPjjzTZbnTkVWZsMIbel5IbPjfiabnpJqZkxYBh3/CDdc+Ff0p0d69Ud0PVdsVnxK3B3uIG9\nBlXT29Nwz3ZDckgQsoDncA8iyyOAAAzVgGEYMLIGhCww8PcB1LynBkKZ2sDh8MvD8B+zex2id74X\nknPi3+66TXKtafDOvLWjoenof0u6dEb99oQhdH1sKtJfQyquPNIOIQSOn6FgOAX0RHWs2aHj5DYF\niiTgsQsc1SDjqQ2jo8rvbJPx7GYVqm6d6UzF5r3+zpnfzdzZNR33MiRZfP/I87LTcS8iIotaYHYB\nhWaZkAygEoAPwB6TyusUhSPJBSAAMTcuN10Yktu/9UfUPfxtLfOVH6W73/dkumtGlzo00WscMxyI\nr41DjanQ0zqiq6PIDmYhu2T4j/Nj420bYau1QXJLSG5Kwr9oas03dFVHtj8Le539gN5DZEUEtlq7\nvO24muYRmyyd2tgc/7CzqnP5CDKt40aWZ/gFuqMGjmqU8fcNKhJZAwMJHUs6VWwdGR3ZlITAnGoJ\nq3rLboOigrqwYk3bLal7O6fjXq91HN+4xu7bNh33IiKyoLIbSbbSXN0WYN8v/atkmSHZBE4Ix4KI\n3LJgNXDFaiAuMomvRbLqUK2u249RpYFGxe9sdqL2zFp03tUJySHB2erEzimmdWfWoe7M0S8Bun/e\njfoP1GPo+SHE3ojB2epE/Tm5f1m1qAbJfWCf//S0jh2P70D7je27jqkO2bOs1ufp9DhwVWV1/BQH\ndnwoGfMCqBUA3jtbwavdGt7+YBx1HoETWmUo4x5b7xHYHtVx7N5D6DStPlL5avtw+H+7fuT6yCF3\nqPju8Vf7//f576lcx0BEtI/G4LxAdSAUnHDgy4qs9A9BM/ZatKcAkleSpjaJlfLKY0jumWkZ83ok\nXP0QMCJlIsEafXj5HK9Y/umK6ki17On9Yy9sVXt29kp2jc7/dTQ60PPrHnTc3IGtP96KdG8ajsaJ\n9wuR7BKM7IFNc8j0Z5DZkcGGWzcAALLhLDZ+ZSM6buuArdqGVFL3vNxc6XkZfqyPRfXvV/m7P6mn\nPbechOpbThqt44N/SmBuze6UnFIBl806GxwWsxsrl7QND/u2/Np1ySEtvuupbvU/U93ReXp4c/s0\nlUZEZCXzAfzH7CIKxUoheQ6AxPgDcx2OalmwzVcxqtAl//E7JP/cHhUff0nC63p85IatI55TL5rZ\ntzaq1exsN9f/5340f7gZhmoAO2cuSKPdK3KRPTIMw4Ce0SHZJx9R7v2/Xrg73PAf60fgvsCucvTh\nQgAAIABJREFU42s/txazvzobik+B/2g/Bp8bRMXbKpDcmITkVaQV82tar9IN2Hakwidn0yMndI1U\nr+7T/e+dvfuP1LpBHQvqrDSjqXgJAXyj8rHWkRHvtiecZ8/Y/yty++nxH2456W9fibkFvNNVHxGR\nRSwAQ3JJasO4XfYAYBY7W+Tdjdu7sTSRwLCmYfHGDbihphbnV1bid8NhAMAllVXYoaq4qKsTMV2H\nBOBX4TAeb58Fryzj09u7MaxpsAlR8a26Rpzwiq1Ff2W03dzDiBhw2Jx2p+zMuCSba44L67+8Hs4Z\nTrhmuiaty7vAi8T6BLwLRnPOpjs3Id2Thp7SEfpMCC1Xt8C30If0tvQeC/wmvNdRXkRXR7HuC+sg\nOSTMuGY0gxmqgeD3t1UFgaoHnBI6rmoN32zXRq7OxKurElm/SwGafAzJhSIJiO/5f9MUi3h7/uU8\npelg75NyeGy/7Hhn7/WbX2BIJiLaU1nNS7bEZiKLfT47gPux105711RVn3ys232KWXXR9NBg6Nuc\n+o7VLUi+FpCc6+bJdZpNmvQbgmRXEgNPDaD1Y62T3rvzu517zEOeLpE/98bmadn0jxcJ+2xJ9037\nAyintCayl8U+HX7N8daD/5Cs6/j54zf3NxkqP2gTEe32XCAUfLfZRRSKVUJyC4CvY9xOewBwU139\nhTPt9rL61FMOsjCynR59YGUr0ssXyJ6Nc6RaSNI+k3/D/w6j8sTKXb2SCyn8QhiVb6+EkIDKSLbv\n1OFY6lo1XjdDMrirWwEkVCl1fuJL8aB9wUGvSViwdeWOu177VZ0QnFdORDSmJxAKNptdRKFYJSQf\nA+AG7BWSv9XY9Am/LO9/ezYqaSkY6Y0+fWBFO9TlC2Xftjal2uyaJmQYRs1Ipu+0kVj6KjVR3ygZ\nk88ZoUMSzcqJs1Nfy3TZOioP9h53PH3n1kXJocm/jiAiKi/VgVAwbHYRhWCVkHwmgPMxLiTbhJDu\nbWq+RRq33TCVh7jQE2sr9cEVHUJffqRctaNRmVqD5ULSDb1+JN13ViSevUJN1NdJhtPskqxoKKNE\nzsx8U/QqLQc15aUm0hd/6Lnv2GxCHFjTbSIi6zoxEAq+aHYRhWCVkPxJAIcB2LWt7Fy7o/ozdXWf\nNK8qKhYjkj7Wbk4SK46Uq0eqZY/ZNe1BN7Sm4XTv+yIx/Uot0VAhgYFsGvWmHeEz1bscQ3LtQU11\n+diLP+s8d0eofZrLIiIqVR8LhIIPmF1EIVglJN8NIAsgtfPYyR5Px8WVVVeYVxUVqwFFD79Zp0eW\nHSbJqxbKtTvbzRUFzVBbw6nec2MxfFBPNnqFpTrQmKYr6R44U7/HF5f9EzfXnoQtm9YeeeKWmF+g\nIh+1ERGVmG8HQsGbzC6iEEo+JC/2+ZwAfgxgy/jjF1RULHqX1/c+c6qiUqHDMPps+uDrTUZs2TzJ\n8eZ8pTbjkmz7f2X+CVXPtIdTfefH4tJFeqLRJbHn96EIJfx978e9NWnJdcAfPN695ultn1v3zCH1\nXyYisojfBULBS80uohCsEJJbAXwVey3a+2h1zbuOdrneaUpRVLLGt5tbFpCca6fQbq4QhKqnZw8l\n+y6KxZXzjGSjU+Jc+4OxIlaz/QL57kZN7GeXmQnc//gtPW1a+qD7LxMRWcRLgVDw7WYXUQhWCMnH\nAvgE9hpJ/kJd/fntdvsR5lRFVrGz3dyqGcgsWyC7N86duN1cIUlZPXX4ULL/4njMdg5SjTb2KDsg\nL0Sbt16hfHsGhHxAP29zekOD33/pf6sl/nwTUXkrmzZwVgjJ7wNwLvYaSf56Q+M1tYrCr0dpWo1v\nN7fiCNm3td3cdnNyRk8sGErs+GAi5jgN6QaFAW5K/jYyu+vjjm+0Hejrbnvmrq4T4n0H/DoiIgsx\nALgCoWDa7ELyzQoh+eMY3SZxYPzxu5uaP+eSJG4rS3k1rt2csXyhXLGjSTFtcZec1mJHDSUGL0/E\nXO+Rstwpbj9+O3xE15ecNx9Q4K2IDyUf/scdwi5E8Sz2JCIqvLmBUHCD2UXkmxVWzjdiXFcLAHAI\nITuFYECmvPMYkntRWHIvWgZcswwYkTKmtZvTHLJ3eZPPuxw+2FJaZNFQfOiKZMx7sqRyQ50JXFr5\nRtvw8H2d33Z+sn2qrxnxVLv+1Hx016U9qziaTETlrB2A5UNySY8kL/b5BICfYHQUWd15/DC7o+Z/\n6upuMK0wojEDsh5+s16PLD9MUlYulGvMaDdnT6ojbx1KhD+civnfJqnFuRuhie4cfk/XA86rphx6\nJTWrP/LEzSNVMKryWRcRURG7NhAKPmh2EflW6iPJLgB2jAvIANBssx30NrRE06lWk6pO7pGqTu4B\n9Od1o8+mDrzeaMSXzZNsby5Q6grRbi7jUir+0+Kv+A/8cCbU8AlD8ZGr0/HKoyWVf04AfKnimbaR\nYd/W37sumNL207pik3604Ozkl998nCGZiMpVWXybVuohuRKAvvfBekXhP/5UdCQI0ZSVa5u2ova9\nWwHtGU3f5sz2r25GYtn8wrSbS7mVqiXuiqolqIA7lh18ZzgevToTr5ovaWW7UYYQwJ2Vf26JjHi7\n/+48vWUqr3lx7snN69c+1z1XTUzpeiIiiymLkFzq0y3mA/gsgG3jj3+suubUo1yuE82piujgZGGo\nnW59x6pWZJYvkN0b50i1hlyYdnPeaGbHKeF44ppsvHqOpPsK8cxik9WhXhW5fuA/znc2TuX61oFN\nwz954Uc+WXCTFyIqO/8OhIInm11EvllhJHmfTQEqZJkjyVRybBDK3ITcNHctcMFaIA0tvcGXHVjZ\nBnX5Qtm7tV2pydezYz573RM+O54wKlERzfafOhxPXpON186U9IItPDSbTYLyoO/+6kvi7v4V9mP3\n2x1ka21H5b8rZ3YtHtlaFiMqRETjlMXfe6U+knwegDMBdI8//pX6hisbbLZZ5lRFlB/j282tOEKu\n7G9W/Hl9oGEY1SOZvveOxDNXa/HaJmG48/q8IhFXpdR5iZtT6+zz9/th252MpB956muaS4iy+Lkh\nIhqjAXAEQkHN7ELyqdRD8icAzAMwOP74Nxubrq+QZfaJJUsbkfTRdnOzhbziCLlmpE7JX+cM3dDr\nRtJ9Z4zEsx/SEvX1kmHpPsEjWTl+dvwr8lbnnP2+zwuW/9+Wa7a8MrMQdRERFZH6QCi4w+wi8qnU\nQ/I3ADgBxMcfv6ep+UanJJXN18REwGi7uTfq9Phrc+B+/UhbRbJCzs9cWd3QG4fTPWdHYvqVWqKh\nSoI9L88x2UDaFjk7+Q13r3PmpNPShK4Zv3zs5sE6aOxHTUTlZEEgFFxjdhH5VLIheaxH8v0A+jE6\n7A8AEADua265VRJin7nKROVCh2H02vThFQ26tnKucAcX2pwZjzz9fyY0Q20ZTvWeG4kZlxnJRp9A\n3lvaFdKWuCP2fu1bzrC9YdKgvKhzad8dK//QUKi6iIiKwMmBUPDfZheRT6Uckj0A7gOwZfzxGll2\nfaOx6QvmVEVUnDQY+maHFl/VqItVh8vKhoU2h2qf3s4ZQjOyM8PJ3vOjcXGRkWj0CFHqC4MBAKER\nV+p8+W4lrlRO+n7u+vvXtx2RjswoVF1ERCY7PxAK/tnsIvKplENyC4CvYa/2b4c7HDWfruVue0ST\nycDQ17nU9OoWQ18zX8aGw21uXZm+0CxUPd0xlOq7MB5TzteTjU6ptL/ZWTHoTV3i/J6Slt05g3LD\ncHf0Z0vucSkW+XBARLQfHwuEgg+YXUQ+lfJf5t6JDlbJMuciE+2HHUI6ImlzHbEBwAYgAVUPedVk\nqBWpVQtt8uZZcgWkg8+1hiI5Nta7Z34Lbnwnq6fmDiX7L47HbOci1WgToiC9n6fTMTUx58MDN458\n0P19nybZJvyJ6ats8f2jZk7nmUMb2wtcHhGRGSy/DqOUR5KPAXADgK3jj5/u9c07p6LiYnOqIrKG\niNC0DX4tumaWlHjtKMWzvVmZlh35pIyemD+U2HFpIuY4E+kGpcQC83+G6rdf4bq7yRDyhHU70ons\nr/92W8ojUJYbshBRWfleIBT8jNlF5FMph+QTAVwDoGv88QsrKo5d7PWdbU5VRNY0LGmpTVX60Ko5\nkrb0SLlqsFaZ8JucAyGntfiRQ4mBy5Ix53uQaZBKJC8/PdTW9TH3N3M20j9r9eNbb9j0fGshayIi\nMsEjgVDwCrOLyKdSDslnALgAe40kX1VV/c63uN3vMqcqovIwLGsj62v14dcOk+TXjlRqon7ZdSj3\ns6W06DFDiaErkjH3KVK2brrqzJc/DM7v+oLnyzmD8s8e+1Jfi55ltwsisrKnAqHgGWYXkU+lPCe5\nGkB274Me9kcmyrtKTa54S59c8ZY+wHhBN4YUdSDYqMdfnSfZlh9hq0u7pANqBZd1yr6lzT7fUvhg\nT6ojxw0lwh9KxXxvl9S8bcV9KC6qWdM2PPC9zju9/9M+0fm7j/2gfPfSXxiixKaTEBEdAMvPSS7l\nkFyJCUKyS+L2sESFJCBEjSrXnrhNrj1xG6A/q+n99kzfmy1GamlAdr4eUGpVuzTljU0yLqXivy3+\niv/CD2dCDR8fjo9clY5XLBJqVT7fx4H6aO3S9uGBB7t+7L1mnxHlYMvC2mXu2i3HJQe5Ex8RWVXR\nf+t3qEp5usWXMTqaHBl//Nb6hsubbLbZ5lRFRHvTYKjbXdqO11uN9CsLFPfauXKdLh94uzlXPDt4\nYjgevSYdr1ogadOykPBQ6QaMWwbP3fZb70X7zEGujvYnfvHstxWbEJbckZCIyl48EAoe8vqUYlbK\nIfk7AHQAqfHHv97QeE2torChP1GRykJPb/FqA6vaoC5daPNtapOqD7TdnDeaHThpOB67JhOrPkzS\n/XkqdUo0Hfqnwpf3POk5s2Xvc9f+9+dd5/evyTl3mYioxDkDoWDa7CLypZRD8k+x15bUAHBnY9N1\nlbLMBTNEJSIFPdFZoQ2u6BDG0oVKRXfLAbSbMwz4o9n+U4fjyavVeE270E0Z1VA1qFePXDfwb/dJ\njeOPK2pa+/XjX475hVEUI99ERNOsLhAKDphdRL6UZEhe7PPZADyAvdq/AcC3G5s+6ZPl6sJXRUTT\nIS606IZqPbxitiReOeoA2s0ZhlEVyfS/dzieulqL1zULo6DrE9Iq0pdGPxdd7jp2j8Usi4PPdH9h\n7dP7jDITEVlAeyAU3CeLWUWphuRKAHdjr/ZvAHB3U/NnXZLERv5EFjEiacPr6vSRA2o3ZxhG7XCm\n9/RILHuVmqivlwxnAUpFIiuSH0jckgo55u+xyPAnj3+5p11LNRWiBiKiAloQCAXXmF1EvpRqSG4G\n8HUA2/Y+973m5i/ahVSQfxCJqLAMGMaQog0GG434a4dLtuVHKLUptzz5wjjd0BuG071nR2LqlXqi\noVrAkc8ao2kROzt9u95ln7VrrvTs3rVDP3jpgUpJiIPf65uIqPi8NRAKvmp2EflSqi3gcn6NKkMc\nUH9WIiodo+3mlNoTt2G03dxzut5vz/avaTYSr8yXna8HlLp92s1JQuqrdjY/WO3Eg7qhNYdT3e+P\nxvTLtGRjhYRp//vC5zC8fzFuGzk9+514v63JAwAbGw+vfsnX1PWOWC8X8RGRlVh6b4pSHUmeD+Cz\n2GskWQLED1tm3GZOVURktvHt5pYuUDyhuXJtrnZzQjOyreFk33nROC41Eo0eIaZ10KAvYRs8Tb/X\nM6xUOwHAlwinfvX07YZDiEPanZCIqIicHQgFnzS7iHwp1ZHkCUd/PNKB7fJFRNYiQyitSaWpdR1w\n5jogCzW9xasNrG6D+soRNt+m9t3t5gxZ2LbUumd8v9aNH6h6ZlY4tfWCWEy6UE82OiUx5c1Pcmlw\nZ2v+Grux/3Tt+3JS9tmi7irn/7Us6rp8+wqOJhORVVh6A7dSHUk+DsD12GvhXoOieL7S0HijOVUR\nUbEbazc3tKJDaEsXKpUTtZsTWT09dyjZd3E8ppyLVKP9EOcRr414e96n/KA+IzllSVeNXz12c7ga\nOjvwEJEVXBEIBR8xu4h8KdWQfAKAjwDYMv74LLu98vN19Z82pyoiKjX7azcnZfTkvKHEjksTcfvZ\nSDUoQhzwToEAsGK4etv5ju+16EIRx2/4T89X3niUnS6IyAquDYSCD5pdRL6Uakg+CcBV2KtP8gKH\ns+4TtbUfN6cqIip1I5IWXlenR5aNtZuLjGs3J2e0+BGDiYEPJuLO00W6QTrAvPxCuGnLFc67ZkJI\n+N6TX+k+PBtn72QiKnU3BELBH5ldRL6Uakh+D4BLsddI8rEuV/M11TUfMacqIrISwzAwZNMHgw16\n9LV5kn18uzklrcWOHkwMXRiJ15/pyEy55eSTgx1dn/Dc3jZjoHPk/hfu88ri0Oc+ExGZ6HOBUPAe\ns4vIl1JduOcCoO990D7Nq9OJqHwJIVCjyjUndss1J3bv2W5u6XzZuTLgaXmt2Sd/Oapm5w9mI9do\nMWOxlKyd7J5n1WxqGx74ZucttV9qX1LV3vXu4S4u4iOiUpbXvvNmK9VQ6QSg7X1QAAc1X5CIaH8k\nCKkxo9Q3dgLv6gS0v2nqdlemd3WLob4yT679dKDGITJieNFAOnZ1PFz/Tmd2wk1OLqt9vX144Idd\n951wVdM7/vbVuEtYu88oEVkaQ3IRcmKCkWQDKL25I0RUksbazTW2bgDO2gCknlD19R5JW93u0L55\neEP2M35Ne0c02Xd1Nlp5lKJVjn/tx2tebBse9G55pO14fGTLywzJRERFqJRD8j4jyUzIRGQWJyRp\nYRw1C9/Uai57E4gY0Lq8dvcfZ9WOfLPDiLS60/rVWqw6IGt+IQS+VPOP1psOO29b/1Z5R72h1Zld\nPxHRQdhnwNJKSjkkT/QLw5xMREXBL4S8MK7UL3wDwBtADFJ0VYUj/EST1udqSytn+BN136z+S/O9\ngXdsPmvNZoZkIipFDMlFaOKRZEZkIipSXki+o0Yk31EjChByYAe8w2t92S3HNa4WfbKvu0EDW8IR\nUamxdPIq1ZBsh8U/vRCRtVVAqqyIOioRtfS6FyKyNktnsUPabtVEE9bNhXtEREREBcOQXIQmDMNM\nyEREREQFw5BchHLkYc5KJiIiIioQhuRSwYRMREREVDCWjl6lGpJzTbew9C8WERERURHhSHKR2mcL\naiZkIiIiooJhSC5CE48kG8zJRERERAXCkFyEJgzDSUPPFroQIiIiojLFkFwq4rqeMbsGIiIiojIR\nN7uAfCrVkGxggjnJMYZkIiIiokKJml1APpVySN5HVNMYkomIiIgKgyG5CE0YklVA1wxDK3QxRERE\nRGWIIbkITTjdAgA0w+BoMhEREVH+MSQXoRRy1K4CDMlERERE+Rczu4B8KtWQnAQgT3RC5UgyERER\nUSFwJLkI5QzJWYZkIiIiokJgSC5CCXAkmYiIiMgs6UAoaOlN3Eo1JMeRayQZDMlEREREeWbpUWSg\ndENyCjm6W3C6BREREVHeMSQXqQxy9ErOGEa6wLUQERERlRuG5CKVMyQndSNZ4FqIiIiIyg1DcpHK\nGZJjuhYvcC1ERERE5abf7ALyrVRDcs7VlDFdTxSyECIiIqIy1Gt2AflWqiE55+K8EY0jyURERER5\nxpBcpHKG5DBDMhEREVG+MSQXqTRytIAbVDVOtyAiIiLKrz6zC8i3Ug3JSeQIyf2aGjeMCdf0ERER\nEdH04EhykdrZ5m2foJw1DD1jGBxNJiIiIsofhuRitCQa1QHEANgmOp8yjFhhKyIiIiIqKwzJRSyC\nHCE5oeuWb3BNREREZJLhQCho+R2OSzkkDyN3SOZIMhEREVF+WH4UGbBoSI5xJJmIiIgoXyzf2QIo\n7ZA8BMA+0YmIrjEkExEREeUHR5KL3AAAZcITqjpc4FqIiIiIykWP2QUUQimH5BgAfaIT27NquMC1\nEBEREZWLTWYXUAilHJKjACbcNWRzJs2QTERERJQfG80uoBBKOSTn7GCRMAw1xQ4XRERERPnAkFzk\nYpik/piuczSZiIiIaHrpADabXUQhlHJIjmN0usU+W1MDQETTGJKJiIiIpte2QCiYMbuIQijZkDy2\nNfUgAOdE54d1hmQiIiKiaVYWUy2AEg7JY3qQIyQPqAzJRERERNOMIblEbAfgmuhEr5plSCYiIiKa\nXgzJJWI7cmwosjXDkExEREQ0zRiSS8QQcvRK3q5mo5phqAWuh4iIiMjKGJJLRBg5QrIBIK7r3J6a\niIiIaPowJJeIMAA518mIrg0WsBYiIiIiKxsMhIIjZhdRKKUeklMAEsgxL3lA1foLWw4RERGRZa03\nu4BCKumQvCQaNQD0IkeHi+3ZLEMyERER0fR43ewCCqmkQ/KY7cjRK3lTJt1X4FqIiIiIrGqV2QUU\nkhVCcjdyhOR16fSgZhhageshIiIisqLVZhdQSFYIyQO5TqiAHtX1nOeJiIiIaMoYkktMzl7JADCk\nqpxyQURERHRotpRTZwvAGiF5ByZ5H/0MyURERESHqqxGkQFrhOTY2H/2iU5uZYcLIiIiokNVVov2\nAAuE5LE2cJsBeCY6vy7NDhdEREREh4gjySVqIwDvRCe61Ww0o+vJAtdDREREZCUMySVq22Qnh3Wd\nUy6IiIiIDk4SZbbbHmCdkNyHSTpcDHDxHhEREdHBWhMIBctu3wmrhOQdAMTYf/vYns32FLYcIiIi\nIssou0V7gEVC8pJoNAOgH4BrovNr0qlJp2MQERERUU7LzS7ADJYIyWM2IcfivbXp9EDG0FMFroeI\niIjICv5rdgFmsFJI3gjAOdEJA8CgqnE0mYiIiOjAxFGGnS0Aa4XkXgB6rpPd2SxDMhEREdGBWVqO\ni/YAa4XkPkzyfjZm0lsLWAsRERGRFbxkdgFmsVJIDgNIA1AmOrkymew2DCNnmzgiIiIi2kdZzkcG\nLBSSl0SjOoB1APwTnR/R9XRE13cUtioiIiKikmWAI8mW8QZydLgAgH5V5bxkIiIioqlZFwgFh8wu\nwixWC8ldmGTx3pZMhiGZiIiIaGrKdqoFYL2QvA2TvKc16RQX7xERERFNTdlOtQAsFpKXRKMJjHa5\n8Ex0PsRNRYiIiIimiiPJFvMGcize46YiRERERFMyDGCN2UWYyYoheR0AW66TW7KZzsKVQkRERFSS\nXgmEgmXdOteKIXkrRgeNJ7Q6mdpUwFqIiIiIStE/zS7AbFYMyf0AssixqciqVLI3revJwpZERERE\nVFKeMbsAs1kuJO9vUxEdMHpVdXNhqyIiIiIqGf0AVppdhNksF5LHvI4cHS4AYFMmzSkXRERERBN7\nrtznIwPWDclbJju5LJncWKhCiIiIiEpM2U+1AKwfksVEJzdlMsMxXQsXsB4iIiKiUvEPswsoBpYM\nyUui0SSATcgxLxkAtmeznHJBREREtKdgIBTsNruIYmDJkDzmVQAVuU6uS3NeMhEREdFeONVijJVD\n8npM0i/5lURis2EYZT8pnYiIiGgcTrUYY+WQvBWAihz9kgc1LTmsab2FLYmIiIioaGUBPG92EcXC\nsiF5STSqAngDQGWua7Zks+xyQURERDTqpUAoGDO7iGJh2ZA8ZjkAd66Tb6ZSDMlEREREozjVYhyr\nh+RJF+e9nIhvyXCLaiIiIiIAeNrsAoqJ1UNyL4AYAMdEJ1VA35rNritsSURERERFpxvAMrOLKCaW\nDslLolEDo1MuqnJd82YqFSpcRURERERF6TFuRb0nS4fkMasB2HOdfCER36gZhlrAeoiIiIiKzV/N\nLqDYlENInnReclzXsz0qu1wQERFR2YoAWGJ2EcXG8iF5STQ6DKAHgDfXNcFUmlMuiIiIqFw9FQgF\nM2YXUWwsH5LHvIhJ5iW/EI+t1bn7HhEREZUnTrWYQLmE5DcAiFwnBzQtOaCpXQWsh4iIiKgYZAA8\nYXYRxahcQvI2ACMAnLkuWJfmlAsiIiIqO88EQsGI2UUUo7IIyUuiUR2jUy5qcl3z33iCIZmIiIjK\nzR/NLqBYlUVIHrMKk7zfzmxmZFjTegtYDxEREZGZVACPmV1EsSqnkLwZQBqALdcFGzjlgoiIiMrH\nkkAoOGR2EcWqbELykmhUBfAqgNpc17wQj79euIqIiIiITMWpFpMom5A85jVMMpK8PpMeGlTV7gLW\nQ0RERGSGDBiSJ1VuIXk9AA2AnOuCNenU6sKVQ0RERGSKJznVYnJlFZKXRKMpjC7gq851zbPR2Bu6\nYeiFq4qIiIio4H5ldgHFrqxC8piXAbhyndyhqYkeVd1QwHqIiIiICmkIwJNmF1HsyjEkrx3735w7\n8K1MJjnlgoiIiKzq94FQMGN2EcWu7ELykmg0CuBNTDLl4p+x6NqsYaQLVxURERFRwTxsdgGloOxC\n8ph/AfDmOpk0DLUrk1lTuHKIiIiICmJ9IBR82ewiSkG5huQ1ALIAlFwXLE0kOOWCiIiIrIYL9qYo\nZ0i0siXRaHKxz/cSgOMB9Ex0zYuJeOe5FRURtyT5C1sdERGZ6ZdDQ/jjyDAEgMMcDtzR2ASHJOHy\nLV2I66PNj4ZUDQtdTvywZcYer+3OZvHp7m3QAKiGgcuqqnBJZRXiuobLt2zZdV2fquJ9fj++VN+A\nR8JD+MPwMJpsNtzXMgN2IbAskcCzsSi+WN+w33oNw8DV27bivuYWeGUZt/T04Pl4DNWyjMdmdey6\nbljT8Lnt3ejOZtFis+Ge5hZUyDKei0Zx38AAhAAUCNxUX49j3e4Jn6UZBi7s6kSDouAnM1oBAL8O\nh/FweAhbs1m8OHsOqhRlV1139vfj3/EYXELCnU1NmO90YkhVcVNPDx5obT2QXxaaHgYYkqesXEeS\nAeAlTLKxiAFgQzrNHfiIiMpIXzaLR4bD+L+2djw2qwMagL9FIwCAR2a24S/ts/CX9lk42uXEe7y+\nfV5fpyj4zdh1v2trx88GB9GvZuGR5F2v/Uv7LDQryq7X/2lkBI+2z0LA4cSL8RgMw8AX1e7CAAAg\nAElEQVT9g4O4ribnBrF7+Hc8jsMdDnjl0S0AzquowAMz9g2gPxscxPFuD57qmI3j3R78bGgQAHC8\nx4O/tLfjL+2zcHtjI27r6835rF+Fw5htd+xx7BiXCz9vbUWzsue427/jcXRlM3hqVge+1tiIr43d\nt1pRUKsoWJ5ITOn90bT6TyAU7DS7iFJRziF5PYA4AGeuC16Ix1cVrhwiIioGmmEgZRhQDQMpXUe9\nsud4SlzX8EoigVO9+y5tsQsBuzT6T2vWMDBR0/3OTAZDmoZjXbu7kaqGgZShQxECj0UiOMnrQYWc\nc9+rPTwRieBd42o5zu1GhbzvP+//jMVwbkUFAODcigo8F40BADySBCFGGz4lDSNn66febBbPx2M4\nf+weO813OtFis0/4vPf7KyCEwFEuF6Kajh2qCgA41evFE2MfPqiguGDvAJRtSF4SjWoYXcCX86P6\nm+nUDm5TTURUPhpsNlxVXY1TN27AyRs3wCvJeIfHs8c1z0ZjON7t2TVyu7eebBbnbt6Md23cgGur\na/YJ2X+LRHC6z78rmF5VVY1LtnRhSNWwyOXCo5ERXFJZNeWalycTWODMOd6zy6Cmom5stLdOUTCk\nqePeUxRnbd6E67Ztxe2NTRO+/lv9/bixrh5Szgaqe+pXs2gcN7rcYFPQp2YBAEc4nViWSE7tRjRd\nUgD+z+wiSknZhuQxr2KSLaoBYHky+WqBaiEiIpONaBr+GYvhmY7Z+NfsOUgaOh4bGdnjmiejEZzp\n33eqxU5NNhsenTULT3V04K+REQyo6h7n/xaN4Cz/7uUu51RU4M/ts/Cd5mb8YiiMyyur8EI8hv/p\n7sa3+vugG8Z+atbhkaY26pzLu30+PDmrAz9smYEfDOzY5/y/YjFUK/KUwvhOE1UtxsapqxUF/WOB\nmQrmj4FQcGT/l9FO5R6StwLoBZDzb7unopE3M7rOj7tERGXgpUQcLTYbqhUFNiHwHq8PK1O7/wkY\n1jS8nkziZE/OLqK71Cs2zLY7sCy5e+5tKJWCZhgThs1+NYs3Ukmc6vPhp4ODuLu5GXYh8PJ+5u4q\nAvsN0gBQIyu7pjvsUFVUy/uu3T/O7cbWbBbhvYL98mQCS2IxvHvjBnxu+3a8kkjgC9u3T/q8BsWG\n3nH36cuqqB8bWc4YOpxSuUeQgvux2QWUmrL+HbokGjUAPAsg5/daScNQ12XSKwtXFRERmaVJsWFV\nMomkrsMwDLyciKPDvnu+7VPRCE7xeuHIEfB6s1mkxjpgjGgaViQTmDXu9X+LRnCmf+KmST8YGMAn\na+sAACl9dG6wgEBSn2hm827tdju2Zvc/KrvY68WjY6Pij46M7JrH3JXJwBgL2WtSKWQNA5VjU0nO\n2rwJAPDZunosmT0Hz86eg7ubm/E2txvfaW6e9Hnv8nrx18gIDMPAqmQSPlnaNd2jM5PF3L0WAFJe\nrQiEgi+ZXUSpKcsWcHtZCeAyjG5TPeFH8X9Eo68tcDhP2Dl/jIiIrOkolwvv9flwQVcnZAABpxMX\nVVTuOv/3SATX1tTs8Zo3Ukn8fngY32hswqZMBt/p74cQgGEAV1XX4DDH7lHjp6JR3L9X2zhgNJwC\no4vgAOD8igq8v3MzmhQbPrHX8/Z2sseLVxMJtI2F8Ru3d2NpIoFhTcPijRtwQ00tzq+sxEdqavCZ\n7d3408hou7l7m1sAAM9Eo/hrZASKEHAKgbubmiGEQFhVMYUBavwqPISfDw1hQFVxbmcnTvJ68I3G\nJpzk8eDf8RhO37wJTiHhjqbGXa95JRHHSV7PJHelafYTswsoRcKYyp8Ai1vs890EoBnAUK5rbqtv\nuKLRZuvIdZ6IiMgMO1QVN/Vsx4OtM6f1vv+KxbA1m8EVVdXTel8AuGJLF37YMmPKHTzokIwAaA6E\nguy5d4DKerrFOM9iknnJALA0keACPiIiKjp1ioILKioR07Rpve8pXm9eAvKQquJDVdUMyIXzSwbk\ng8OQPOp1AEkAOSdIPROLrk3qerRwJREREU3NGX5/zpZ0xaZaUfBu36TjUjR9DHDB3kFjSAawJBpN\nA3gOQH2uazTAWJNKLStcVURERESH5J+BUHCt2UWUKobk3f4DjC0mzuGpaHS5bhiTLzMmIiIiKg4c\nRT4EDMljlkSjfQDeBJBzGXG3mo1uy2b5iYyIiIiKXTeAv5pdRCljSN7TMwAm7Unz30T8tQLVQkRE\nRHSwHgiEgtO7mrPMMCTvaQ1GW6W4cl3wQjy+aUTT9t2zk4iIiKg4ZAH8r9lFlDqG5HGWRKMqgKcB\n1OW6xsD/t3fvcXLX9b3HX9+Z2dnrb3eTbAIJQgCBskRFUK4KslatWq0Vq6Bg1dram55q7entXHpO\nT3vanl60RVtvqCAXkbvclNtwESEBSgIhuySB3AhJyN5mvrtzn9/3/PGblbAkO7Obmfntzr6fj8c8\nNpn9zswngey+9zuf3+cLT6TTOrVGRERE5qvr+ocG94RdxEKnkPxajxFk4UP+3dxmU09nfX+icSWJ\niIiIVMUB/xB2Ec1AIXmahLVjwBPMMA4u71zp6Wx2XeOqEhEREanKnf1DgxvDLqIZKCQf3P3McLAI\nwI9TyceLzhUaVI+IiIhINbSLXCMKyQe3BdgPdB1qwWiplN2cyz3VuJJEREREZvTz/qHBh8Muolko\nJB9EwlofuJ0ZZiYD3GFTj+pwEREREZkntItcQwrJh/Y4kGWGtott+fz49kJefT8iIiIStmeB28Iu\nopkoJB9CwtoMcBdwxEzrfpKyjzjnGlOUiIiIyMH9Y//QoAJJDSkkz+xhglEq0UMt2JjLvvxSsbC5\ncSWJiIiIvMou4Jqwi2g2CskzKI+De4gKu8n32Ak1yYuIiEhY/qV/aFATt2pMIbmye4EWwBxqwbpM\n+sWXi8UdjStJREREBIBRdAR1XSgkV5CwdjewnhkOFwG419oHGlKQiIiIyCu+1j80OBl2Ec1IIbk6\ndwDtMy34WXpy+75iYXtjyhERERFhHPhK2EU0K4Xk6jwPbKbC3OSfpOz9jSlHREREhH/qHxocD7uI\nZqWQXIWEtQ64FfBmWrc2k971UqGwtTFViYiIyCK2H/jXsItoZgrJ1RsEXgR6Zlp0Ryql3WQRERGp\nt7/rHxqcCLuIZqaQXKXyUdU3A0tmWvdUNrNnVz4/1JiqREREZBHaDfxH2EU0O4Xk2dkA7AO6Z1p0\nWyqVcDqGT0REROrjb/qHBrNhF9HsFJJnIWFtEbgOWDrTuo257Ms7CoVnG1OViIiILCLbgMvDLmIx\nUEievQ0Evcm9My26JZl8wNdusoiIiNTW/9Lpeo2hkDxLCWtLwPVUCMmb87mRF/L5DY2pSkRERBaB\nQeCqsItYLBSS5+YZYAcV2i5uTiUf9J3zG1OSiIiINLn/2T80qFzRIArJc1CedPEjKlzAty2fH38u\nl3uyMVWJiIhIE3sKuDHsIhYTheS52wRsAfpmWvTD8fEH8s7pClQRERE5HH/RPzSoa50aSCF5jsqn\n8N1AhVP49peK6cfT6QcbU5WIiIg0oTv6hwZ/GnYRi41C8uHZDDwLLJ9p0Y+S4+tsqTTSmJJERESk\niRSAPw67iMVIIfkwlHeTbwQ6AXOodQXn/Hsn7N0NK0xERESaxWX9Q4Obwy5iMVJIPnwvAOuBFTMt\numdiYvPeQuGFxpQkIiIiTWA/8NdhF7FYKSQfpvJu8s1AOxX+Pm9KJn+qA0ZERESkSv+jf2gwGXYR\ni5VCcg0krN0BPAQcOdO6jbnsy1vyGgknIiIiFT0NfCfsIhYzheTauYWgLzk+06JrxsYTBedyjSlJ\nREREFqgv9g8NlsIuYjFTSK6RhLWjBG0XM+4maySciIiIVHBT/9BgIuwiFjuF5Nq6H0gCXTMtui45\nvtaWSqONKUlEREQWkBzwJ2EXIQrJNZWwNgtcRYW5yeWRcBoKLiIiItN9pX9ocFvYRYhCcj08RXDI\nyIxB+Z6Jic0vFvLPNaYkERERWQBeAv5v2EVIQCG5xhLW+sA1BAeMzPj3+4OxsTsLzuUbUpiIiIjM\nd1/oHxq0YRchAYXkOkhYuw14GFg507pdhUJqbXry/sZUJSIiIvPYLf1DgzeFXYS8QiG5fm4pf5xx\nJNwPx8fXjRaLLzWgHhEREZmfLPD5sIuQV1NIrpOEtSMEQXnG3WQf3PXJ8dt0Ep+IiMii9Zf9Q4O7\nwy5CXk0hub7uA8YBb6ZFG7LZvZty2ccaU5KIiIjMI48B/x52EfJaCsl1VB4JdwXQR3Aa3yFdOTaW\nSPu+zmcXERFZPArA5/qHBv2wC5HXUkiuvw3A41Q4iW/C9wt32dQdjSlJRERE5oF/6h8afCbsIuTg\nFJLrLGGtA64l2ElunWntfRMTW3bk8882pDAREREJ01bgr8MuQg5NIbkByhfx/RBYVWntlWOjP8k7\nl61/VSIiIhKi3+0fGtT3+3lMIblxHgK2UeEkvj3F4sQjkxP3NqYkERERCcEV/UODOidhnlNIbpCE\ntUXge0AHEJtp7fXJ5JN7CoXnG1KYiIiINNI+4MthFyGVKSQ3UMLaHcCdVNF28d3R0Vvzvp+pf1Ui\nIiLSQL/dPzQ4EnYRUplCcuPdDowB3TMt2l0s2HsnJu5sTEkiIiLSAN/uHxq8PewipDoKyQ2WsDYD\nfB9YRoXZybfb1Mbt+fzGRtQlIiIidfU88KWwi5DqKSSHYyPwKBWOrAb4zujIHRnft/UvSUREROrB\nOVcCPtk/NDgZdi1SPYXkEJRnJ18HlID2mdaOlkrZ21KpWxtSmIiIiNScMebv+4cGHw27DpkdheSQ\nJKwdIziyeiUV2i4emJx4fiibfbwhhYmIiEgtPQn877CLkNlTSA7X2vKt4rSLy8dG77Glkq6GFRER\nWSCccxmCNotC2LXI7Ckkh6jcdnEVkAW6Zlo76fuFG5LjN/vOuYYUJyIiIofFGPPn/UODg2HXIXOj\nkByyhLVJ4NvACir893g8k9m9IZt5uCGFiYiIyOG4B7gs7CJk7hSS54dngPuAoyot/P7Y2IMjxeLu\n+pckIiIic+GcGwM+0z80qHd/FzCF5Hmg3HZxPcEhI70zrS04518+Onp93vnZhhQnIiIis2KM+Z3+\noUFtaC1wCsnzRMLaNPAtgpAcnWnt9kI+eUcqdbPak0VEROadr/UPDd4YdhFy+BSS55GEtZuB24DX\nVVp7z8TE5o257M/rX5WIiIhUwzn3JPDlsOuQ2lBInn9uA3YDfZUWfntk5L7hYnFX/UsSERGRmTjn\nksaYj/UPDebDrkVqQyF5nklYmydou+gAWmZaWwT/26MjN+R8P92Q4kREROSgjDGf7R8afCHsOqR2\nFJLnoYS1OwmOrT660tpdhULqx+pPFhERCdO/qQ+5+Sgkz1/3Ak9RxVi4xOTE1g3ZrOYni4iINJjv\n3GPAn4Rdh9SeQvI8lbC2BFwOTFBhLBzA5aMjiZeLxR11L0xEREQA8J0biRjzUR073ZwUkuexhLUp\n4OtADxCfaW0J3LdGhm/I+v5kQ4oTERFZxJxzfsSYi/uHBl8MuxapD4XkeS5h7VbghwRj4cxMa18q\nFiduSSVv9NWgLCIiUm9/1T80eG/YRUj9KCQvDPcAjwOrKi18aHJy26Pp9N31L0lERGRxKjl3pzHm\nb8OuQ+pLIXkBSFjrA98HUsCSSuuvHh97bGsu91S96xIREVlsis49Fw3aLPSubZNTSF4gEtZagv7k\nbir0JwN8bWT4Dh00IiIiUjsl58Zjxryvf2jQhl2L1J9C8gKSsPYF4Cqq6E/OO1f6+sjwdWnfTzak\nOBERkSbmO1cy8KH+ocFtYdcijaGQvPAkgMeoYn7yvmJx8sqx0WuLzmk0jYiIyGEo4v5gzXNDD4Vd\nhzSOQvICU+5PvgIYBZZWWv90NrvvTqsT+UREROYq4/vfOPW5574Vdh3SWArJC1DC2kngMqAd6Ki0\n/ifWDj6ZyTxQ77pERESaTdr3f9YeiXw+7Dqk8RSSF6iEtbsILuQ7AohVWv+9sdEHd+Tzm+pemIiI\nSJPI+v7OjkjkA/1Dg6Wwa5HGU0hewBLWrgeuB46mwoV8DvjayPAtY6Xi3kbUJiIispAVnJuMGfPO\n/qFBXQC/SCkkL3x3Aj8nCMozmvT9wjdGRq7N+v5E/csSERFZmHznSgXnPvzG54aeD7uWAxljSsaY\n9caYDcaY/zTGnFth/bHGmE8c8PtPG2O+dhiv/31jzG8c5uO3lf8M640xb57rc83wGhcYY24/yP2X\nHPC6640xfqXXV0he4A64kG8HcGSl9bsKhdQVY6NXF5zL1b04ERGRBWjC9//4LZufuyfsOg4i45x7\ns3PuVOAvgL+rsP5Y4BMV1jTafy3/Gd7snFvfqBd1zl099brAJ4HtlV5fIbkJJKzNAl8D8kBvpfUb\nstm9NybHrys5px4rERGRA4yXSl89a8vmfwu7jip0A2MAJvCPxpiNxphnjDEXldf8PXBeeef0S+X7\nVhljfmKM2WKM+X8He2JjzHZjzD8YY9aVbycc8OnzjTE/N8a8MLWrXN69fcgYc7MxZpMx5hvGmDll\nzPLu98PlnfJf7JaXX+MBY8wNxpghY8zVxhhT/tx7y/f9DLiwipf5OHBtpUUKyU0iYe0I8FWCfzRt\nldY/NDm57afWajSciIhI2WixeP05WzZ/qfLK0LSXA+8Q8B3g/5TvvxB4M3Aq8C7gH40xK4E/Bx4u\n76B+pbz2zcBFwBuBi4wxh2rXTDnnziTYhPvqAfevBN4OfIAghE85E/hy+Xlfz6HD6t8aY542xnzF\nGNN6kM+/DLzbOXd6uc4Df2A5DfgicApwPPA2Y0wb8G3gg8B5VPGuevl5FZIXk/KJfN8CVgHRSutv\nt6lnH0lP/qTuhYmIiMxzI8XiI0tjsYvDrqOCqXaLk4H3AleWd1PfDlzrnCs55/YBDwJnHOI57nPO\nJZ1zWWATsPoQ66494OM5B9x/i3POd85tIpiwNWWdc+4FF7xLfW25pun+Aji5XNtS4M8OsqYF+LYx\n5hmC4QSnTHuNF51zPrCeoJ3kZGCbc26LC3b+rjrEnwcAY8xZQNo5t3GmdaCQ3IzWArcCx1Bh4gXA\nNePja5/OZB6pe1UiIiLz1GixuDnll97VPzToh11LtZxzjwJ9wHKq+H5/gAOvSSpx6DGy7hC/PvDx\n5hBrDvZ7nHN7XCAHfI9g93m6LwH7CHbF3wrEq6h9Nm+LX0wVu8igkNx0EtY64BbgSeB11Tzmm6Mj\n9z6fy22oa2EiIiLz0HiptPfFQuHt73/hhWzYtcyGMeZkgneNR4CHCFonosaY5cD5wDrAAt4cX+Ki\nAz4+WsX6M40xx5V7kS8CfnaQmleWPxrg14GD7eb2AHvKu8WfpPI740PAccaY15d///FDLSzX9lHg\nhxWeE1BIbkoJa0sEvUo7CXqHZuSAfx3e/+M9hcLWetcmIiIyX0yUSslns9kLLtqxfX/YtVRpqid5\nPXAd8Klye8PNwNPABuB+4E+dc3vL9xXLI+Nm22vdaoxZC/wRwe5uJY8S9ChvBLaVa5ru6nIbxTME\nu+B/c5A1/w58yhjzGHASMDnTi5bbRj4H3FG+cG/HDMvPB150zr1Q4c8CgNGFW81rwPN6gb8EOoGK\nXwC6IpGWP1u+4lPLYrGj6l6ciIhIiDK+n3kik37P53btes2O52JnjNkOvNU5N1zl+guAP3HOfaCe\ndTWadpKbWMLaceCfAZ8qRsNN+H7h34aHr7Gl0mjdixMREQlJwbnC09nMxxWQZSbaSV4EBjzvWOC/\nAUmg4ml7x8XjvZ9f1vdb7ZHIXPuYRERE5qWSc/76TOb3L92541th1yLzm3aSF4GEtduBrxD0/1Sc\nobwtnx//5sjIFTq+WkREmonvnNuQzfyVArJUQyF5kUhYuwn4BsGFfC2V1m/O50YuHx29Muf76boX\nJyIiUme+c25dJv0Pl+zYcbCLxUReQyF5EUlY+xhwNXA0VRw28mwuu/+KsdEf5IMrR0VERBYk3zn3\n8/Tk168cG/vLsGuRhUMhefG5B7id4ISdisPH12eze68aG72q4Fy+7pWJiIjUmO+ce3hy8rvXjI9/\nsXyWgEhVFJIXmfIXiBuAhzn0UZSv8kQms/uasbGrigrKIiKygPjOuQcmJ667Ljn+B+UzBESqppC8\nCCWs9YHvEwzzPqaax6zNpHddM66gLCIiC4NzjvsnJm69IZn8bMJafe+SWVNIXqQS1hYITrXZQtCj\nXNFj6fSua8bHrlZQFhGR+cw5x30TE3fdlEp+JmGtLkCXOVFIXsQS1maAfyU4PrKqU/YeS6d3XhsE\n5UJdixMREZkD5xz3T0789KZU8tLyoVoic6KQvMiVf8L+KvASsKqaxzyaTu/8oXaURURkHnpgcuKe\nG5PJSxLW6vRYOSw6cU8AGPC8buBPgeXAnmoec0Z7+1GX9C65JB6JtNe1OBERkQqccyQmJ+67IZm8\nOGHtcNj1yMKnkCy/MOB5vQRBeSmwt5rHvKG1bcVnli79ZHsk0lXX4kRERA7Bd86/y9qf3GFTn05Y\nuz/seqQ5KCTLqwx43hKCoLyEKoPy6+PxJb+3rO83OyOR3roWJyIiMk3RueJNyeTtD0xO/G7C2pfD\nrkeah0KyvMZcgvJRsRbvC319n+yORpfXtTgREZGyvHP5a8bGbl2XSX8hYe2+sOuR5qKQLAdVDsp/\nBvRSZVDui0bbv9i3/NKlsVhVFwCKiIjMVdb3M98dHb15Yy775YS1VX2fEpkNhWQ5pAHPW0oQlHuo\nMih3RyLxP16+/OMrYi3H1rM2ERFZvCZ9f+KbI8M3bc3n/0wBWepFIVlmVN5R/jJwBLC7mse0GxP7\n4+XLP3pUS/ykuhYnIiKLTrJUGv/a8PBNu4uF/56wtqppTCJzoZAsFQ14ngf8EXAcsKuax8Qg8qXl\ny3/9uHjrG+tanIiILBrDxeLwZcP7f7S/VPpr9SBLvSkkS1UGPK8D+ANgDbATqPg/jgH+cFnf+05p\nazuzzuWJiEiTe6lQ2HPZ8P6rkr7/9zooRBpBIVmqNuB5rcDvAG8FdlBFUAa4pHfJ2ed2dLzHGGPq\nWZ+IiDSnrbnc9v8YGb4i49w/J6y1Ydcji4NCsszKgOfFgE8B5xMEZb+ax72ny/ulD3R3fyRmTEs9\n6xMRkeayLj35zBVjY1c4+PeEtZmw65HFQyFZZm3A86LARcB7CVovitU87rS29pWXLlnyCZ3OJyIi\nlfjO+XfY1KN3WXsN8J2Etfmwa5LFRSFZ5mTA8wzwIeBCgov5CtU87piWlu7fX9Z3SU80uqKe9YmI\nyMKV9/3sD8bHHnwyk7kWuDphbVWbMSK1pJAsc1YOyu8GLiUYD5er5nHdkUj8j/qWf3RlS8sJ9axP\nREQWHlsqjX1jZOShbYX81cCNCWurausTqTWFZDlsA553HvBZYD8wWc1jomA+39f3/l9qbXtrXYsT\nEZEF4+VicddXh/f/fLxU+gFwZ8JahRQJjUKy1MSA570J+AKQBsaqfdylvUvOOaej492afCEisrht\nzeU2XTY8/J8F3HeAhxSQJWwKyVIzA563GvgS0ApUPeT9V7q8k3+1u/tCTb4QEVmcHpucXHvl+NgG\n4GsJa58Jux4RUEiWGhvwvGUEp/MdRZWn8wGc2tZ25KVLll7UGYn01q04ERGZV0rOFW9LpR68e8I+\nA/xLwtqqv2+I1JtCstRc+XS+zwGnMYtZykuj0bY/XNb3EV3QJyLS/Cb80th3R0cfHMrlngIuS1hb\ndaueSCMoJEtdlA8d+RjBLOUXgarmW0bAfHbp0gve3NZ+vtqURUSa0+5CYctlw/ufSPn+z4DvJqzN\nhl2TyHQKyVI35RFx7wR+k6BHOV3tY9/d1XXSB7p7LmwxprVe9YmISGM559wTmcwj3xsb3QbcCtyS\nsLYUdl0iB6OQLHU34HmnAp9nlpMvToy3Lv2tpUsv0sEjIiILX973Mzelknc9NDlpgcuBn2mChcxn\nCsnSEAOedyzB5Is4s5h80RWJtPzBsr5fOzYef0O9ahMRkfoaKxX3fnNk5O6dhUIG+NeEtYNh1yRS\niUKyNEx58sXngWMJJl9UfYrSJb1Lzj6no+PdEWMidSpPRETqYGsut/7rI8NP5ZwbAb6SsPalsGsS\nqYZCsjTUgOe1Ah8n6FWu+ihrgLd1dK7+SE/PR9sikc561SciIrVRcq704OTET29IJoeBp4FvJ6xN\nhV2XSLUUkqXhyhf0nQ98GkgC49U+dlUs1vXbS5d9+MiWluPrVJ6IiBymtO8nrxobu219NuMDtwC3\nJawthl2XyGwoJEtoBjzveIKjrDuBqt9+M8ClvUvOPauj45fVfiEiMr9sz+c3fmNk+LGU7/vAvyes\n3RB2TSJzoZAsoRrwvF6Cg0fWADuBqkcBndbWvvLi3t6PeNHosnrVJyIi1Sk4l7t/wt51ayo1RtBO\n9/WEtXvDrktkrhSSJXTlg0c+DHwQ2ANkqn1sVyTS8rmly953QmvrafWqT0REZjZcLL74vdHRH28r\n5D3gYeCqhLVVfy0XmY8UkmXeGPC8twK/S3Ax3/BsHvt+zzvlPV73B+PGtNWlOBEReQ3fObc+m3no\n+6Oj64vQA1wJPKD5x9IMFJJlXhnwvKOA/wL0ERxnXfX/oKtbWnp+a+myC5fHYsfUqz4REQmkfT95\nQ3L8xsfS6RLBO4CXJazdGnZdIrWikCzzzoDndQKfAs4muKAvW+1jo2A+tWTp+ae3t78jYoypV40i\nIovZtnzumW+PjP503C+tADYB30xYW/WkIpGFQCFZ5qXymLi3EYTlPLB/No8/q73j6I/09Hy4Kxpd\nUo/6REQWo/LFeXfemkrtBHqBm4A7Nd5NmpFCssxrA563iqBP+RiC9ouqp190RiItn16y9J2ntLae\nZbSrLCJyWPYVCtt+MD522wv5fBfBjPv/SFi7Jey6ROpFIVnmvQHPiwMfAj5AcLjxUvQAABLGSURB\nVEGfnc3jz2zveN2FPT0f6o5G++pRn4hIMys4l39kcvKe65PjzzpYCfwMuCZh7UTYtYnUk0KyLBgD\nnreGYFe5jVkcPgLQakz000uWXvDGtrZzdQCJiEh19hYKL1wxNvrjHYVCGxAFLgfWaXqFLAYKybKg\nDHheD8Fx1m8hGFafm83jT2trX/nR3t4P9UajR9ShPBGRplBwLvfw5MTdNySTTwNHA1uAbyWsfTnk\n0kQaRiFZFpwBz4sA7wAuJRg7NKuZyi3GRD7Zu+S809rbz4saE61HjSIiC9WufH7oyrGxO3cXC1F0\ncZ4sYgrJsmANeN7RwO8Bqwh2lWf1BfwNrW0rLu7t/dDSWGxVPeoTEVlIsr4/cc+EvfMua4eA1wHj\nwDd0cZ4sVgrJsqANeF4rwQV9HyS4oG9kNo+Pgrmkd8k5b+3ouCBmTEs9ahQRme+25HJPfX9s9O6x\nUikGrCA4WvpaXZwni5lCsjSFAc87Dvht5rirvLqlpefjvUt+5Zh4vL8e9YmIzEfJUunl21OpOx9J\nT+4i+PqZJrg472ldnCeLnUKyNI3yqLhfAS4EJpllrzLABZ1dr3+f573Pi0aX1bo+EZH5ouBcbm16\nMvGj8fHHi9AJ9BHsHl+XsHZWYzZFmpVCsjSdAc87BvgssJpgV7kwm8fHjYl+vLf37Le0d7xDLRgi\n0kycczyfz6+/enzs3n3FYoZg93gS+A6wUbvHIq9QSJamNOB5LcC7gN8AsszyWGuAo1tauj/Ru+Q9\nq+PxNbWuT0Sk0UaLxZduTSXvfDyT2U0wtWIJcD9wo3qPRV5LIVmaWvlY688AJwJ7mOVcZYDzOjuP\n+1Wv+33d0ejyWtcnIlJvOd9PP5KevO+mZPIpPzgQ5CiCjYPLE9Y+F3J5IvOWQrI0vQHPiwIXABcD\nJWAfMKv/8VuMiVzU03vWGR0dF7QYE699lSIiteU7557L5Z64enzs/tFSKQssBzqAHxPMPZ71poHI\nYqKQLIvGgOcdQRCUTycYFZea7XOsisW6Lu5d8s7j4/E3R4wxta5RRKQW9heLO29Mjt/5dDa7D2gH\njgReAL6XsHZnuNWJLAwKybKoDHieAd4I/CawDHiJWV7YB7CmtW35r/d0v+uolvhJNS5RRGTOUqXS\n/vsnJu67e8I+R9BasYrguoxrgUcT1pZCLVBkAVFIlkWpfAjJu4APE7Rg7GWWLRgA53R0HPM+r/vd\nfbHY62pcoohI1dK+n/r55GTi1lRyQyn4WraCoLXip8DtGusmMnsKybKoDXjecuAi4AxgFEjO5Xne\n2+WdfEFX1y93R6N9taxPRGQmed/PPJHJPHxjcvzxjHNFgpnHK4DngKvUWiEydwrJsuiVWzBOAT5F\n8M3lJSA/2+eJgvlwT89p53R0XtAeiXg1LlNE5BeKzhU2ZrOP/Wh8/JFxv5QDYgStFRPAD4AnE9b6\noRYpssApJIuUlU/s+2WCE/scwci4Wf8D6TAm9rHe3rNPa+94e4sxrTUuU0QWMd85f0s+99T14+MP\nvFQsTs02PhKIA3cAdyWsTYdXoUjzUEgWmWbA8/qAjwFnAZY5HG8N0BeNtn+st/e8k1vb3qqT+0Tk\ncDjn2FkobLo5mbx/cz43Ur67B1gKbACuTVi7J7wKRZqPQrLIQZRbMF5P0K98IjDGHPuVj4jFOi/s\n6Tm3v7XtDIVlEZkN55zbWShsusumHi6Pc4Og73g5wcz3a4CndZy0SO0pJIvM4ICRcR8HVhKcUjU5\nl+daEYt1XNjdc+4pbW1nxHQgiYjMwHfO35bPP3O7TT38XO4XO8dtBK0VSeA6YF3C2mJoRYo0OYVk\nkSoMeF6MYALGxUA3wci4OZ1W1ReNtl/Y03vOmra2M9WzLCIHKjlX2prPPfXjVOqRbfn8ePnuFoIf\n0nPATcDDCWuzoRUpskgoJIvMwoDntQHnE1zc10Jwcd+cdnJ6IpHWD/f0nPGmtvaz2yKRzhqWKSIL\nTNG5wlAu+8StydSju4uFqZnGUYJw7IC7gLsT1k4c8klEpKYUkkXmYMDzPOA9wPsBnyAsz2ncUocx\nsQ/19Jz+lvaOczsikZ4aliki81zBudzGbGbtLcnU2v2l4tRUCsMrEysSBIeBjIZWpMgipZAschjK\nkzB+DTiPYLbyPuYYlluMibzf895wZnvH2UtisZU1LFNE5pms7088nc2uuyWZXFeecwxBOF5OcFLe\n48BNmlghEh6FZJEaGPC8VcCvAucCBYKe5TkP8j+7o+Pod3R2nX10S0t/xBhTozJFJGQjxeLuxzPp\ntXdZ+2zBuamvEYbgIKN24BmCcLwttCJFBFBIFqmpAc9bSdCC8TaCXuXDCsvHtLR0v9/rPvPk1tbT\n45FIe43KFJEGKjlX2lnIb3pgYmLt45nM7gM+FSFoq2gBngRuB3ZonJvI/KCQLFIHA553JPA+gjYM\nnyAsz3lUU2ck0vJ+z3vT6e0dZ/VEo8trVKaI1FHW9yc35bJP3JFKPbHnldPxILgg70iCo6R/TnBK\n3ouhFCkih6SQLFJHA563AngX8E6Ct1T3ErRjzNn5nZ3Hn9fZddaqWOwkdWKIzD+jxeJLUy0VeedK\nB3wqRjCtAuBB4KcJa/e99hlEZD5QSBZpgAHPWwIMAO8l+Ea5jznOWZ5yQjy+9D2e99YT4q1v0gg5\nkXC90lIxue7xTHr6rnAcOILgXaV7gXsT1o685klEZF5RSBZpoPLouPMJ+pY7gHHmeNz1lBZjIr/c\n2XXSWzo6TlsZi52oC/1EGmesVNyzMZtdf7e1z4yUSplpn+4A+gjePfoJkEhYO/6aJxGReUkhWSQE\nA57XCpwGfBBYBWQJjrye80V+AKtisa53e96pp7S2neZFo8sOv1IRmS7n++mt+fzTD01OrH8mmz1Y\nu8QyoIvgh+DbCY6PtgdZJyLzmEKySIgGPM8AJwK/ApxOEJL3EcxcPixnd3Qcc25H52nHxuOnxIyJ\nH+7ziSxmvnNuT7G45clMev19ExPPHTC+bUqMYIxbC7AZuBN4NmHtnC/YFZFwKSSLzBPli/zOJ7jQ\nrxUYAQ77CFovEom/p8tbc2p7+2l9sdjRh/t8IotJqlQa3pTLrr/X2g0vvXpCxZSplooS8DDBCXkv\naoybyMKnkCwyzwx4XjtwBvABgtO30sAwcNj/WE+Ix5e8vbNzzUmtbWt6o9EjD/f5RJpRxvcntufz\nm9am08+se+1FeFOWAh7BNQV3AGsT1qYaVqSI1J1Cssg8NeB5EeBkgnnLbyBoxRgGpl8cNCcnxluX\nvr2zc82Jra1reqPRI2rxnCILVcb37bZ8ftMTmfSmden0Lv/gP5TGCX5wjQFbCMKxWipEmpRCssgC\nUG7FOAN4N9BDMD5uP8FbvIftpHjrsrd1dq45qbV1TU80uqIWzyky3x0QjJ9dm07vOsR3Q0NwIV4H\nwb+7BwgOAFFLhUiTU0gWWUAGPC8KnETQu3wmwbG2Y0DN3uY9ubW179yOzjUntraeosAszSbt+6lt\n+fymJ9LpTesyhwzGAJ0E4RhgI3A/sClh7WFfVCsiC4NCssgCVZ65fBrB7vLRBLNY91ODyRhTTm5t\n7TujveOk4+PxE5bHYqsjxkRq9dwijZIslV7emc9vfSKTGXwik35xhu96B06oGAbuBp5MWDvakEJF\nZF5RSBZZ4Mpj5I4GzgEuIJiMkQZGOcy5ywfqjkTi53Z0Ht/f1nbi61paTmyPRLxaPbdILRWcy+0p\nFF7Yms9tXZdOb91ZKMz0TosBlhBchFcAfgY8AmxLWFuzfz8isvAoJIs0kfIhJacQhOU3EASAmgdm\ngDe2tR1xenv7icfFW0/oi0aP1i6zhGm8VNq3M5/f+kw2u2VdJr3rIHOMD2QIevt7yr/fTHBc9MaE\ntTW5MFZEFj6FZJEmNeB5XUA/cB6whiAYTBL0MNc0MPdGoq3ndna8/uTWthNXtbQc3xGJdNfy+UWm\nyzuX3VsovLAll9v6WDq9dXexUOlEu6lg3F3+9VaCucbPJqwdqXO5IrIAKSSLLALl/uUDAzPUKTAD\nHB+P957a1r76uHh89ZGx2OquaHRprV9DFpeCc7mXi8UdO/P5HZty2e3rM5k9pcqzww3QSxCMHfA8\n8BBBMFafsYjMSCFZZJEpB+ZTCALzKQRBYoI6BWaAVbFY1+ntHauPj8dXr2xpWd0diawwxtTjpaRJ\nZH1/cn+xuGtnobBjUza7Y0M2s/cQs4unmwrGUz3zW3klGI/Vq14RaT4KySKL2IDndRPsML+9/DFC\nMHt5BMjW63WXRaPtb2nvOOaE1vjqVbGW1T3R6BFRY6L1ej2Z35xzWN8f3lcs7tyez+/amM3u3JLP\nzWanN05wAl6cICQ/R3ABnoKxiMyZQrKIADDgeW3A64E3AmfxykVNluDo3bpd6d9iTGRNa+uKE1pb\nV62KtaxcHout7A2Cc6xerynhcM456/sjI6Xinr2F4t7thfyeZ7PZPaOl0mx+KDMELRQ9BLvLWeA/\ngaeArToeWkRqQSFZRF6jPFZuJcHBJWeVPxqgSLDLnKt3DTGI9Le1LT8h3rryqJaWlSuC4HxkzJiW\ner+21EbJuVLKL+0fKZb2vFQo7NmWz+99NpfdO+H7hTk83YG7xQDbgHXAEMHpdzU5fVJEZIpCsohU\nNOB5HQS7zKcSnPTXVf5UmmCXeS6hZ9YiYE5ube07obX1yCNisb6l0diynmi0z4tElmnXOTzOOZd2\nLpkqlYbHSqWRPcXCvudzuT2bcrn9eefmGl4jBDvFU73FaeBJYD3BbnGlaRYiIodFIVlEZmXA8yLA\nKuB44E0E0zKmekGzBKG57jvNBzLA6pZ4z7HxeN/Kltiyvmisb2k02udFo8s0jq52cr6fTvn+cLJU\nGhkpFUf2Foojuwr5kefz+dHc3MPwlChBKO4iaKFwBPOL/7P88UUd7iEijaSQLCKHpRyajwRWE/Qz\nvwHoJMiueWCcOl4EWElXJNJyQjy+7KiW+LKl0WhPTzTa0x2N9HRGIj0dJtLTGom0h1XbfOKcI+9c\nOuNcatL37YRfStmSnxopFcd3Fwojz+fzI2Oz6xuuJE4QitsJAnGJIAyvB14gCMU1O2JdRGS2FJJF\npKbK/czLCULzGoLgvIRXdgcnyrdiWDUeqDMSaVkZi3krYjFvWTTm9USjXnc04nVFol67MZ3xiGmP\nm0hb3Jj2GLQutNF1JedKBecyeeeyOefSk76fmvBLNlnyU+Olkh0pFVP7ikW7u1Cwh9EaUUmE4Acn\nD5hqi5kENgHPAjuAlxLWNqRtR0SkGgrJIlJX5dC8BDgGOBb4JeA4YOoCPEcQmCzzJDgfShRMbzTa\ntiQabeuORtu9SKStKxJt74xE2tojpr09CNOtUWOiUYhGXvORSAQTjZTvCz4SNRjjO1fywXdQ8p3z\nfSj54JfvL/k433fBfSXnSkVcMee7bMb52Yzvsmnfz076fnbC97PWL2WTpVJ2vFTKZpxr9N9plKBl\noqv866kfjl4kGM22GdgJDCes1TcgEZm3FJJFpOHKLRp9BBM0jiEIzq/nlckF8Epw1u7i/NVCEIan\n2msgaJvYRhCGtwN7gJcT1s7rH4BERKZTSBaReaG847yMVwfn44EOghnNUyEsQzDpIEsdZzfLLxig\njaB3uIOgdWLqv0eOoH/4OYLd4T0EO8T67yIiC55CsojMW+Xg3EGw67wMOIKg1/mY8q+nRAguEpwK\n0Lrga/bivBKE4wQ7wqZ8GyZol9hBEIRHyrekWiZEpFkpJIvIgjTgeVGCXuepAH00QXg+iuA0tqnd\nzKmgVyDY+cwRhOgCQa9sszMEobe1fIsTXDznE/z5DcEPGZYgCO8q36aC8KhaJURkMVJIFpGmM+B5\nMV45tnjqdiTB1I1lBCe3ebxyUdmUCEFoLBFcRFgofywe8PswWwkiBAH3UDd49Z8pUv51kmA3eATY\nV/6YIgjGKSClcWsiIq+mkCwii1J5J7qLICx38UrfbRtBwO4uf27q1lm+tfDqoFzpi6iZ9uup9W7a\n7ys9R4QgpE+Wb1Oj9OwBt6le7TSvBOAJ9QiLiMyeQrKIyCwMeF4LQZCOE4w4O9QtcpD7DEHALh3w\nsXSQ+w78WCAIvlm1PYiINI5CsoiIiIjINJGwCxARERERmW8UkkVEREREplFIFhERERGZRiFZRERE\nRGQahWQRERERkWkUkkVEREREplFIFhERERGZRiFZRERERGQahWQRERERkWkUkkVEREREplFIFhER\nERGZRiFZRERERGQahWQRERERkWkUkkVEREREplFIFhERERGZRiFZRERERGQahWQRERERkWkUkkVE\nREREplFIFhERERGZRiFZRERERGQahWQRERERkWkUkkVEREREplFIFhERERGZRiFZRERERGQahWQR\nERERkWkUkkVEREREpvn/TsxavR+U5N0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113539cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b814048>"
      ]
     },
     "execution_count": 0,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = 'Stuck on php 5', 'Only php 7', 'Other', 'Both php 5 and 7'\n",
    "sizes = [stuck_on_5, only_7, final_all - stuck_on_5 - only_7 - both_5_and_7, both_5_and_7]\n",
    "explode = (0, 0, 0, 0)  \n",
    "\n",
    "fig1, ax1 = plt.subplots(figsize=(12,12))\n",
    "ax1.pie(sizes, explode=explode, labels=labels, autopct=make_autopct(sizes),\n",
    "        shadow=True, startangle=120)\n",
    "ax1.axis('equal') \n",
    "plt.title(\"Distribution of PHP versions on github from main composer.json files\")\n",
    "plt.figure(figsize=(10,10))\n",
    "fig1.savefig(\"data/php-github-versions/5vs7.png\")\n",
    "plt.show() \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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XSCV04ICMehqpltAl65OR9ub2b0aLoh8KO4vIcLjt1ZUbZ0fax4SdQ2QY3Qm8\nh1RDc9hBRMKikWoJVbI+WZzenn5ABbXkszSmUTzJd+cCD5JK1IQdRCQsKqolNDNvmVnV3tz+RKQw\ncmzYWUSGkzMdqCijwuH4M4PMCDuISBhUVEso9vvWftNI82y0KNrdWSRF8kbaqaiWUWMq8DdSCQ2W\nyKijolpG3PQbph8ZLY0+GSmKjO99aZHcp4paRpkK4PekEpeEHURkJKmolhE17XPTzo3XxP8UKYiU\nh51FZKQ41dUy+sSBH5FKfFkzg8hooaJaRsy01LRPFE0quj0SixSEnUVkJDl0nnIZta4BfkUqURx2\nEJHhpqJahp1X59m0z0+7uai26EsWMb3nZNRJ60BFGd3OAB4ilagMO4jIcFKBI8Oq5pSa6Lhzxv22\neHLx+02ziskopQMVRTgE+LOm3JN8pqJahs2el+5ZUjmv8tHC8YUnh51FJEyqqEUAOAB/xHpc2EFE\nhoOKahkWk94/qbpsVtm/C2oKDg07i0jYnL6kEemwP/AwqcTEsIOIDDUV1TLkJl48cVLp/qX/io+J\nTw87i0g2SGuoWiTTdOARUokpYQcRGUoqqmVITXjXhOnls8v/Ea+ITw47i0i2cJjKapFdTcUvrKeG\nHURkqKioliEz/tzxB3qHeH+NV8R1UheRDGr/EOnSZPzCWt9qSl5QUS1DYtzZ4+ZVvKXij/FEXEd2\ni3SSDjuASPaaiN9jvX/YQUQGS0W1DNrY08aeMuaoMffEvJjmIBXpgqbUE+nROPxZQQ4IO4jIYKio\nlgHz6jyrOaXmrKoFVT+Plccqws4jIiI5qwZ/Huu5YQcRGSgV1TIgXp1nhRMKz6k+rvqHsfJYIuw8\nItlMZ1QU6ZNK4E+kEpqKVXKSimrpN6/Os8LxhedXn1D9/ZinEWqR3jh0pKJIHyWAP5JKHBl2EJH+\nUlEt/eLVeVawR8GF1W+rvlEFtUjf6EBFkX4pB/5AKnF02EFE+kNFtfSZV+dF4pXxC2tOqvmGCmqR\nvnM6U7lIf5UCi0kl5oUdRKSvVFRLn3h1XiRaEn1n9UnVX455sTFh5xHJJRqpFhmQYuBezQoiuUJF\ntfTKq/PM4nZ2zdtrbiioKhgbdh6RXKNhapEBS+C3guiU5pL1VFRLj7w6zzDOqjml5ouF4wonhp1H\nJBepqBYZlPHA/5JKVIcdRKQnKqqlW16dZ8CZ1W+rThVPLp4adh6RXOUw1dUig7Mvfo91adhBRLqj\nolq6FBRLrxNOAAAgAElEQVTUp1ceU/mJ0umlM8LOI5LL0mhOPZEhcAhwF6lELOwgIl1RUS27CQrq\nkxKHJz5afkB5Xdh5RHJdWh0gIkPlBOAnpBL6oCpZR0W1dOWo8jnlH00corNaiQwFTaknMqQuAL4c\ndgiRzlRUyy68Om9u6b6lnxxz1JgjzUwjASJDQBW1yJD7GKnEVWGHEMmkolp28Oq8GUW1RZ+pWlg1\n3yIWDTuPSL5w+nwqMhy+TirxzrBDiHRQUS0AeHVebcG4gutqTqxZaDErCDuPSD5Ja6haZDgYcCup\nxMKwg4iAimoBvDpvfLQ0+smxp4w9LlIQKQ47j0i+cRqoFhkuceA3pBIHhR1EREX1KOfVeVVE+djY\n08aeEC2N6vTjIsNAs3+IDKsy4H5SiWlhB5HRTUX1KObVeeXAR2pOrFlYUFMwKew8IvlKFbXIsKvB\nP+viuLCDyOilonqU8uq8YuDKirdUzCvZu2RW2HlE8pmKapERMRW4h1RCxwVJKFRUj0JenRcH3l+6\nb+kR3lzv8LDziOQ7pxMqioyUQ4Gbwg4ho5OK6lEmOFvi+QV7FLy1ckHlfIuY3gMiw0w91SIj6r2k\nEu8NO4SMPiqoRp+FkZLI8WNPHXtUJK6ZPkRGQjrsACKjz02kdFZgGVkqqkcRr85LEuFde5y+x8HR\nkmh12HlERgsNU4uMuALg16QSY8MOIqOHiupRwqvz9gT+p+bkmv0Lqgv2DjuPyGiiolokFBOBX5FK\nxMIOIqODiupRwKvzEsCHK95SMa1kasncsPOIjDY6+YtIaI4CvhZ2CBkdVFTnOa/OKwAuK5lWso83\n15sfdh6R0cg5DVaLhOhKUonzww4h+U9FdR4LZvo4L1oWnVO1sEozfYiEJG2aU08kZLeQSswJO4Tk\nNxVZ+W0BcOzY08YeFCmMeGGHERmtnNqqRcJWDPyGVKIy7CCSv1RU5ymvzpsFnF91XNWkguqCaWHn\nERnN0hqoFskGewF3kEqo9pFhoTdWHvLqvInAFaX7lRaWziidF3YekdFOw9QiWeM44Ithh5D8pKI6\nz3h1XjlwZcyLRSuPrjzJzDREJhIytX+IZJVFpBJnhB1C8o+K6jzi1XkR4GJgTM2pNfMjhZHysDOJ\nCDjU/yGSZW4lldg/7BCSX1RU55eFwIHVJ1RPLajSCV5EskVaI9Ui2aYMuJtUojTsIJI/VFTnCa/O\n2wc4r3RmaaRk35Kjw84jIjs5dWGJZKPpwDfCDiH5Q0V1HvDqPA+4PFYRa66cV3ma+qhFskta49Qi\n2ep9pBInhR1C8oOK6hzn1XlR4GKMsrFvH7swUhApCzuTiOxKNbVIVvsRqUR12CEk96mozn3HA3XV\nx1dPjVfGp4YdRkR25/TdkUg2GwfcHHYIyX0qqnOYV+dNB84q3qu4pWR6yfyw84hI1zSlnkjWO4NU\n4t1hh5DcpqI6R3l1XgL4oMVsc+WxladYxPRaimSptKbUE8kFN5JKTA47hOQuFWI5KOijvgQorj6h\n+sBYWWyPsDOJSPccppFqkezn4c9frQ/BMiAqqnPTCcDskn1LrHjv4reEHUZEeqaKWiRnHA18OOwQ\nkptUVOeYoI/67EhhZHXlvMp3aPo8keynolokp3xJZ1uUgVBRnUO8Oq8U+ACwofpt1UdFS6JVYWcS\nkd6lww4gIv1RBNxGKhEPO4jkFhXVOcKr8ww4Gygvm1VWUTSl6LCwM4lIH+n7JJFcUwekwg4huUVF\nde5IAkdHiiNrK46sOE1dHyK5I62qWiQXfZxU4vCwQ0juUFGdA4LTkL8XeLPmxJqF0aJoRdiZRKTv\n1P4hkpOiwM9JJUrDDiK5QUV1lgvaPt4JFJfPKd+jaFLR3LAziYiIjBJ7A18PO4TkBhXV2W8ucES0\nPLqu4vCKU8MOIyL9l9YEICK57P2kEieGHUKyn4rqLObVeRXAxcCa6uOqj40URsrDziQiA6KmapHc\n9n21gUhvYmEHkK4FbR8XAPGS6SWJwj0L1fYhkqOc5c5I9cX3buO+l9oYW2o8d3nZLvfd+I8Wbnqi\nhVgETtonxlcWFnW5jva046BbmphYHuG+d5YA8NafNtG43d8NbzY5DpkY5Z5zS/j1f1r5zEPbqSw2\n7jmnmKqSCK9uSPOpB5u588ySPmU+85db+crCIqaOifCpPzXzs2da2bjNseWT3o5lrvpDM39e0gbA\n1lZ4synNpkXebuv6wyttXPmHZtrTjksPLGDRkYUAXHLvNv65qh3nYHpVhFtPK6aswNje5nj3Pdv4\n1xvtVJUYvzizhNqKCM+uaefrj7Vw62nFfdoGyXqTgc8AHw87iGQvjVRnr8OAgzHeGPPWMSfrJC8i\nuStN7vz/vWhOnD+8a/di9s+vt3Hvi608c1kpz19exkePKOh2Hd/+Rwszqnf98/KX95Ty1GVlPHVZ\nGYdPinL6DH9M5+uPtfD3S0p59wFx/t+zftH76T838/mjC/uU9/k322l3MHWM/3yn7Bvj8Ut3H1D8\n5glFO57/ikMKOH3G7lMQt6cdH7x/G78/v4T/fLCMO55r5T9r23c8/unLynjmA2VMTkS46fEWAH78\n71bGFBmvfKicqw4r5OP/1wxAco8oKzanWdagw1TzyFWkEjPDDiHZS0V1FvLqvGrgImBV5dGVB8fK\nY+NDjiQig5BLPdVHTYlRWbz7Z4Dv/7OFRUcWUhjz7xtb2vWfjxWb0yx+uY1LD+y66G7c7njw9TZO\n288vaiMG29sdW1sd8Sj8ZWkb48si7FMV7VPe259t5dR9d37petieMcaX9/yn7Y7nWjlv1u5F9eMr\n25lWGWHqmAgFUePcmXHufcEv9L1Cf7udc2xrdTv6ee59sZULZ/vrOnP/GH96rR3n/Jf7lOkx7nyu\ntU/bITkhjt8GkjMfkmVkqajOMl6dFwEuBIhXxaNl+5cdE3IkERm0nKmpu/XS+jR/WdrGoT/awrxb\nm3hiZXuXy334D818ZUERkW7KjrtfaOXYvWI7itTr5hVy/G1b+b/X2zlvVpwv/GU71x7Vt1FqgEeX\ntzN3fN8KcIClm9K8vinNMXvt/piVjY5J3s4/i3t6xsrGnSPN77l3G+O+voUX1qe54lD/Q8PKzY5J\nCf8xsYiRKIL12/zX+6AJUf6yrOv9JDnrrfiDXiK7UVGdfY4AZgOrqhZUHWcx6/tfFxHJSi4PjlNs\nS8PGZvj7JaV8dWERZ9+1dceIbIf7XmplbKkxd0L3RW7nUeKFe8f41/vK+N15JdzzQisnTovx4vp2\nzvzlVt77221sbe35A8mqRkdNad/3753PtXLmjBjRLqp+18VTZS7101OLeeMjZcyojvCLYAS6q3Qd\njxlbarzRqPaPPPQVUomqsENI9lFRnUW8Oi8BnA+sKkuW7VU4vjAZdiYRGbx8KKv29IzTZ8QwMw6Z\nGCVisG7rriXlo8va+e2LbdR+q5Fz79rGg6+38a7fbNtx//qtaR5fmeak6bsfI7+11VH/dCuXH1zA\nJ/60nZ+cWszcCVFuf6bn9oniODS39X077ny+lfOSu7d+dGzj8s07X60Vmx0TOrWSRCPGOTPj/Pq/\nbTsfE/RNt6UdDc3saJ9pboPiWO5/oJLdVANfDjuEZB8V1dnlDCBmcWupOLxCc2KK5AlnuT9Ufdp+\ncR583S8kX1rfTks7VJfsulnXLyhixUfKWfLhcu48s5hj9opx2+k7Z7/41X/aOHl6jKIuCs2vPLqd\nKw8tIB41trX6o70Ro9eR6hnVEV7Z0LePLS+ua2fjNsfhe+46kr7fTVsAOHhilJfXp3l9Y5qWdsed\nz7fy9n1jOOd2PIdzjt+91MZ+wYGYb58ep/5pv/C/6z9tHLNXlI7jyl9an2bWWP2ZzUfO8a5vfOqS\nQ8LOIdlF/9uzhFfn7QPMA1ZVHVt1RLQkWh12JhEZGi6HmqrP+/VWDv9xEy+uT7PnNxr58ZP+LBcX\n18V5baNj1ve2cO5d26g/rRgzv73hxNu39mndd3ZzgOAbjWn++UaaU4ODF68+vIDDftxE/dOtvLOb\nUeUOJ+0T46ElO4eqr/ljM3t+o5GtrbDnNxpJPdS84747nmvl3FlxMidTWrc1vePFiUWMm04s4vjb\ntjLju1s4e/84M8dGccCF92wj+f0tJL/fxKotaT4zL5hq78A467c5pn2nkW88tp0bFuycZvDPS9o4\naR/NXJtv3nQV/zy+5ctvfKf99JtrFy1WHSU7WOeeOBl5Xp0XB1JAWcG4AjfurHEftKjpN7FInliw\nYtOSb7Zurg07Rz7a1uo4un4rj15c0mWfdG/ue6mV1zam+dChQ3v4yvY2x7xbt/LXi0uIDSCXZJ82\nF1mZartw+W3tCw/LuPkDS2446ebQQklW0Ses7HA0MBHYWLWg6m0qqEXyi4Yuhk9x3Pjs/EJWNg5s\nL588PT7kBTXAsoY0NywoVEGdB5yj5f/aD3w4uf3HYzoV1ABfrF20WActCqAzKoYumJP6LGCVN9eb\nXlBdMD3sTCIytPJh9o9sdvy07PtTtk9VlH1UauW85xvL1l4V/3TTS0ye180ilcAXgA+MYCzJUhqp\nDlFwKvJzAEeUVm+ud1zYmURk6GmkWiS3bG6xxo9tOmPFSfEf1rzE5NpeFn9f7aLFdSORS7Kbiupw\nzQQOBVZVHlV5YLQkqnENkTyU1kC1SE5oT7v2uxpmLD207YdFvyo6Y88+PiwCfGs4c0luUFEdEq/O\nK8I/K9O6SEkkXjqjdH64iURkuGikWiT7vdhUtuptTddt/mjhtVO2RUp7nnZmd0fVLlp88rAEk5yh\nojo8xwNVwObKoyuPiBRESsMOJCLDQ0W1SPZqbLHGazadseL46A/HvxTfb8wgVnW9ptgb3fTih8Cr\n88YDpwJvxKviZSVTS44IO5OIDB8dqCiSfTpaPQ5p+2HRL/ve6tGTWcCFQ7AeyVEqqkdYxsGJLUBr\n5fzK+Ra1/n7NJCI5RCPVItllkK0ePfls7aLFRb0vJvlIRfXImw7UAWuKJhdVF04s1BHDInlORbVI\ndhjCVo/uTAKuGIb1Sg5QUT2CvDovApwHNABuzFvHLLCI6TUQyXPO1P8hEqb2tGu/a9N+S4aw1aMn\nn6hdtLhimJ9DslD2zZif3+qAvYDXS/cvnVxQU7Bv2IFEZPg5DVaLhObFprJVV6Q/UvRS0X61I/SU\nY4BPAB8foeeTLKFR0hHi1XkFwDuBdQAVh1YsDDeRiIwUVdQiI6+xxRo/PrytHj35UO2ixcM9Ii5Z\nRkX1yDkSfwq9xsShif1jiZj+s4mMEg5T+4fICGlPu/ZfB60evxj+Vo/uFAGfDem5JSQqqkeAV+eV\nAWcBq4kSKZ9TfmzYmURk5Kj9Q2RkdMzqcXXRZ2qHeFaPgbiwdtHi/UPOICNIPdUj4zigAGiuOLxi\ndrQ4Whl2IBEZOQ4dqCgynBpbrPGLW9/RcGfRmXsSDTvNDlHgevzzUsgooJHqYebVedXAicBqDCvb\nv+ytYWcSkZHlVFKLDIuOVo9D224uurPozGxsq3x77aLFB4YdQkaGRqqH39vxv/ptTRyWmBUtiVaF\nHUhERpZ6P0SGXgizegzUJ4Ezww4hw08j1cPIq/MmA28FVgGUzdQotchopKJaZOg0tljjok2nhzWr\nx0Ccrt7q0UEj1cMkOB35mcA2IO0d7O0XK4uNDTnWqNKyvoWVt6ykraENDMbMH0P1cdW7LLPu9+tY\n/YvV7HfjfsTKd//v0LK+hZU/WUnbBn8dU66aQkFNAc453vz1mzQ80YBFjMpjKqlaWEXDEw28efeb\nRMuiTP7QZGJlMba/uZ0373qTSZdP6lPuZTctY9zZ44glYiz77jJa3mzBIkb5nHLGnT0OgI1/2cjq\nX64mXuEfh1O5oJLKebu36r949YtEiiOYGURhWmoaAG1b2lj+/eW0rmslXh1n8uWTiZbubETc+tpW\nXvv8a0y6fBKJgxO0bW5jxQ9XUPvR2j5tg+xKRbXI4LWnXfs9m2csv7bgqolbi8rLw87TD4Y/b/UF\nYQeR4aWievhMBw4AlgKUH1B+VLhxRh+LGuPOHUdxbTHt29p5NfUqZTPLKJpYBPgF85bntxCv6v4A\n8RU/XMHYU8ZSNquM9uZ2vzgFNv11E60bWtnn+n2wiNG2uQ2Adf+7jqnXTqXhHw00PNZA1cIq3vz1\nm4w9vW+fp5pXNuPSjoKxBaS3p6l+WzVlM8pIt6VZ8pUlND7TSPkB/t+SxCEJJlwwodd17vXxvXb7\nwLBu8TrKZpRRc3INa+9by9rFa3cU7C7tWPOrNZQly3YsH/NixCpiNL3cROk+pX3aFtlJRbXI4LzY\nVLbqQ+mPFL+Y/a0e3TmvdtHi65bccNJrYQeR4aP2j2EQjFKfCjQBrryufFqsPDY+5FijTrwiTnFt\nMQDR4iiFEwpp29i24/7Vd6xmj7P36PbxzSubIQ1ls/ziMloUJVLo/5fZ8OAGak6twSJ+kR3z/KLV\nzHBtjnRLGosaTS82EauIUTiusE+ZNz22Ca/OAyBSGKFshv/ckViE4inFtG5o7c8u6Nbmf2+m4kj/\nLLoVR1aw+cnNO+5b/8f1eHO93Qpx70CPhscahuT5RxunaapFBiSz1ePF+H65fOrvKLAo7BAyvFRU\nD4+pwAxgLYA3x5sXbhxpWdtC89Jmivf2i+zN/95MfEyc4snF3T9mdQvRkijLblzGK595hdV3rsal\n/THHljdbaPhHA6+kXmHJ15ewffV2AMaeOpYlX1tC0/NNJA5LsPZ3axn79r53/Wx9eeuODwKZ2pva\n2fzUZsr23zl6vPmfm3n50y+z7KZltKxv6XqFBku+toRXrnuFDQ9t2HFzW0PbjtaReEV8x0h768ZW\nNj+5mcpjdm8lKd6rmKaXmvq8LbKTRqpF+icHZvUYiAt1lsX8pvaP4fF2oBmgLFm2l86eGK725na/\nT/md44gWR0lvT7P2d2t77Q92aUfTS01M++w04lVxln9vORv/spHKeZW4NkckHmFaahoN/2xg5U9W\nMvWTUymbVca0WX7f8sa/bqTsgDK2r9rOuj+sI1oSZfz543eMdnelbVMb0fJdJ1l17Y7lNy+nakEV\nBWMLACivKydxWIJIPMKGBzew8kcr2evje+22vqmfmkp8jF80L/nqEgrHF1K6b/ftG6tuX8W4s8bt\nGIHPFCuP7TLSL32nolqk7/Kg1aM7BcBHgQ+HHUSGh0aqh5hX500BZgNvAngHeuqlDpFrcyy/aTkV\nh1eQOCgB+KPMLWtbeOXaV3jx6hdp3djKq9e9SuumXVsr4mPiFE0uomBsARY1yg8sp3lpMwCxMTG8\ng/w2DW+uR/Py5l0em96eZtOjm6g6poo1d61h4iUTKa4tZtNjm3rMGymI4Fp3LcFW3rqSgj0KqD5+\n50GWsbIYkbj/33fM/DFsW7Kty/XFx/ij0TEvRvmB5Wx7zV8ulojt2N7WTa072le2LdnG8u8v58Wr\nX2TzPzfzxs/eYPO//NaQdGsaK1Abw0BonmqR3vmtHu/Ih1aPnry3dtHimrBDyPDQSPXQOxl/xg9X\nOqN0UnxMvDbkPKOWc46VP1lJ4fhCqk/YWZAWTSpixo0zdvz84tUvsndq7916iIunFpPemqZtcxsx\nL0bTf5t2tGZ4B3o0/beJgpoCml5o2q1neu39a6laWIXFjHRL2r8xws7r3SgcX0jLmy0U1Pgj0mt+\nvYb01jQT3zNxl+VaN7XuaN9o/HcjheN3Pv9Li15i+g3TSW9P49Jux+j8lue37GhF8eZ4bPrrJmpO\nrmHTX3f2ce/7tX13rGfFLSson1OON9e/r2VNy46DPKV/nNMZFUW605526XsbZyz/dPyqCTk2q8dA\nlAAfwZ8NRPKMiuoh5NV5ewIHAcsAvIM0Sh2mrS9vZdPfNlG4ZyGvXPsKAHucuQfls7v/nb3t9W1s\n+PMGJl48EYsY484Zx+tfeR2A4inFjJnvT4lac1INy3+wnHUPrCNSGGHCe3bOwtG6sZXmJc3s8Q7/\nIMjqE6p57fOvES3xp9nrSdnsMppeaKJsZhmtG1pZ+7u1FI4v5NXrXgV2Tp23/o/rafx3IxY1oqVR\n9rzU7zBqa9zZntHW0MayG5cBfgtJ4rDEjplDqk+uZvl3/XaWeGWcSR/sfbq/pv829bjvpHvO1AEi\n0pUdrR6F+00JO8sIurx20eIvL7nhpJ6/upScY87pd/1Q8eq89wFzgVXFexWPHXvq2A+EnUlyS7ol\nzes3vM7UT0/tsq+5N5uf2kzr2laqFg79iTtf+9JrTLlyyi7zWUvfzFjTtOyXW9f3/IlKZBRpbLUt\nX2o6bdMdRWeN1mOOrl1yw0lfCDuEDC31VA8Rr84bDxwOrAHw5nqHhptIclGkIMLYd4yldePAps7z\n5njDUlC3bW6j+vhqFdQDpKELEV972qV/07Df0kNbby4cxQU1+KPV3Z8kQXKS2j+GzglAK5COebHi\nwvGFB4QdSHJTeTL7WixiXmxHb7X0X8+d9CKjw0tNpas+1H5V0QuF+4+mVo/ujMc/6/IdYQeRoaOi\negh4dV4N8FZgJUDisESdRU37VkR8OkxRRrFdWj30ZVemK1BRnVfU/jE0jgPagXYiWPHU4kPCDiQi\n2UPtHzIa+a0e+y5Rq0e3Dq9dtPigsEMAmFm7mT2Vcakd5uebb2YNGc/3mW6WMzP7opm9ZGb/NbMP\nDWeuwdJo6iB5dV4lcAzwBoA319s3WhRNhJtKRLKJimoZbTJaPWrDzpLlrgAuDDsEsM05N6e7O80s\n5pwb6rN//cU5d3Ivy1wETAL2c86lzazvpygOgUaqB+8twb/tAGX7l+kARRHZhTNTA4iMCo2ttuUT\nm96x4rjoLeNfKNh/TNh5csA52XoyGDO7yMx+ZWa/Ax4IRo2/ambPmdmzZnZOsNx8M3vYzH4ZjCjf\nYGbnm9njwXJ7DyLGB4DPOefSAM65N7vJeVPGz/eZ2fzg+hYz+7qZPWlmfzKzYd3XKqoHwavzCvEP\nUHwToLi2eKxO9iIinWmkWvJde9ql71arx0AUAu8POwRQnNGKcXfG7YcDFzrnjgFOB+bgnzV6AfBV\nMxsfLDcbuBJIAhcA051zhwA/wh+N78rhZva0mf3ezGZ2s8zewDlm9s9guX36uV2lwJPOuQOBh4Hr\n+vn4flFRPTiz8c+OtB3Am+upl1pEdqOiWvLZy02lq07acm3DVYXX1W6NlGuauP67rHbR4rDbcbc5\n5+YEl3dk3P5H59yG4PqRwB3OuXbn3Br8IvXg4L4nnHOrnHPbgVeBB4LbnwVqu3i+J4EpzrnZwI3A\nPd3kKgSanXMHAbcAP+nndqWBXwTXbwu2YdioqB4gr84z4CSgASBaHi0qnKBp9EREZHRobLUtn9x0\n2oqFavUYrIn4o8DZqCnjek9tbNszrqczfk7TxfF7zrnNzrktwfX7gbiZVXex3hXAr4PrdwNd1Vlt\n7FrPFvWQc1jHOFRUD9xUYDKwCaDisIo6i5o+oYvIbjRSLfkks9Xj/xWdrVaPodFdi0Q2eQS/FSMa\n9CYfBTw+kBWZ2TgLjjUxs0Pw69H1XSx6D/5kEADzgJe6WGYJMMfMImY2CcjsGojgzwcO8E7grwPJ\n21dhf92Qy46l45OYYcV7axo9Eema02GKkidebipddYVm9RgOR9YuWly35IaT/h12kB7cjd9j/TT+\nWME1zrnVZrbfANZ1JvABM2sDtgHnOuccgJndD1zqnHsDuAG43cyuArYAl3axrkeB1/FbTZ7Dby3p\n0ATMNLN/4XcWnDOArH1mwTZIPwTT6H0V/2QvaW+uN33MW8ecF3IsEclSk9dtW7G4ca1G9CRnNbba\nluubTt2kkelh9ZMlN5x0Sdgh8omZbXHOlY3U86n9Y2COwO8tSgOU7ld6YLhxRCSbaehCcpVaPUbU\nObWLFo9YAShDT+0f/eTVeQVkTKMXq4iVxKvi/Z3iRUREJKup1WPEleK3J/w47CD5YiRHqUEj1QMx\nGygDmgG8uV7SIqb9KCLd0ki15JItmtUjTBeHHUAGTsVgP2RMo7ep47bi2uJuT+spIgI6UFFyw45W\nj5abC9TqEZojahct3jfsEDIwav/on72AKcBSgOK9isfGymPjwo0kIjlAZbVkNbV6ZJWLgY+HHUL6\nTyPV/TMfaOn4oeyAMo1Si0iv1P4h2Spo9ViuVo+sckHtosXRsENI/6mo7iOvzivBn59xLQBRIkUT\ni5KhhhKRnOBMA9WSXdrTLn1Pw/SlQavHpLDzyC7GAwvDDiH9p/aPvpuFv7/aALzZ3t6RgoimvhGR\nXmmkWrLJy02lqz7UflXRfwv3nxJ2FunWu4E/hB1C+kcj1X13LNDY8UPJviVq/RARkZyxpdW2fGrT\nqcsXRm8Z/1+1emS702oXLS4PO4T0j4rqPvDqvLHAdGAjQLQ8WlRQU6Cjc0WkT5wOVJQQZbZ63F50\njlo9ckMx/qm8JYeo/aNv5uKfPdEBeHO9WRYxHUQgIn2i9g8JyytNpauvaL+qUK0eOekC4Kdhh5C+\n00h1L7w6LwIsANZ33FayV8ns8BKJSM4xjVTLyOpo9VgQvWWcWj1y1vzaRYv1zUIOUVHdu6nAGGAr\nQNGeRVWxREyT4otIn2mkWkaKWj3yigFnhR1C+k7tH707gmDGD4CyWWX7h5hFRHKQ00C1jAC1euSl\n04FvhB1C+kYj1T3w6rwi4C10zE0NFE4snBFeIhERkV2p1SOvHVG7aPH4sENI36io7tlMoABoBSjY\noyARK4/pzS0i/eI0UC3DIGj1WKJWj7xmwDvCDiF9o/aPnh0DbOn4oWxW2X4hZhGR3KWyWoZURqtH\nbdhZZNidDnwv7BDSO41Ud8Or86qAGcCGjtuKJhWp9UNE+k0HKspQUavHqDSvdtHiqrBDSO9UVHfv\ngOBfBxCriJXEErHJIeYRkRyl9g8ZrPa0S9/bsI9m9RidYsDbww4hvVP7R/eOBBo6fig/oHxfM9Of\nRpLjYYwAACAASURBVBEZCP3ukAHTrB4CnIFOBJP1NFLdBa/OG4M/P/XmjtuKJqv1Q0QGRu0fMhBb\nWm3LpzedukKtHgIsqF20uDzsENIzFdVdm4H/d9ABREoiBfHK+NRwI4lI7tJAtfRdZqvHbUXn6GRj\nAlAInBx2COmZ2j+69hYyZv0oP6B8H4tYNMQ8IpLDnE5TLn30SlPJ6g+1f7jgP4Wz1OohnZ0B3BF2\nCOmeRqo78eq8MvyR6k0dtxXXFqv1Q0QGTO0f0pudrR4/GvefglmVYeeRrHRC7aLFxWGHkO6pqN5d\nx1zUaQCLW7SgumCfEPOIiEieUquH9EMpsDDsENI9tX/s7jBgW8cPZcmyqRazghDziEiO00i1dEWt\nHjIAxwG/DTuEdE1FdQavzisCZgOrO24rnlI8LbxEIpIX1FMtGba02pYbmk7ZeFvRuZPQ0TrSP8eF\nHUC6p/aPXU0HokB7xw0FNQWa9UNERAYt7Vz6tw37LD2s5fsFtxWdqxO4yEDsU7tocW3YIaRrGqne\n1cFAS8cP8Zp4ebQkWh1iHhHJAw6dOGq0U6uHDKGFwC1hh5DdqagOeHVeHL+oXt9xW+m+pRqlFpFB\nU0/16LWl1f4/e/cd3lZ59g/8+5xztIenvOIkzpZITPYyKzFlhdUBpUBbut+2LrTv76WU9qXQQXmh\nUCgUigsUCoRSNi0QIKwkgCAJZKAEmZChxE68Ek/tcZ7fH8d2ZFu2LEeWbOn+XJevSEdn3DJYus9z\n7nM/7ts8F7Q/rr2cSj1IspwNSqrHJSr/OG4GADWAUO8C7SQtJdWEkBNH49RZJ7rU43Ht5VTqQZLp\nzIrrX6H8bRyikerj5gMIRy9QFdAsioSQE8cprc4qVOpBxlgelCvrm9MdCOmPkmoA5oVmBmAJgPbe\nZdoKrUVQC8b0RUUIIWQioVIPkkJngZLqcYcuHyjyARQgqj+1foaeRqkJIYTERaUeJA2otd44REm1\nYlACrSnVUFJNCEkKTn2qM9Y+r77pwu7/7bhG89upbtFME4WRVFlRcf0rpnQHQfqj8g/FfAD+vmci\nBFWuqiJt0RBCCBnX+pV6UCpNUk8FYBWAl9IcB4mS9SPV5oVmAcBCAB29ywyzDZNoanJCSLJQn+rM\n0VPq4aJSDzIOUAnIOEMj1UApAC2A1t4Fumk6Kv0ghCQPpdQZYZ9X33RN+Gfq3Zp5FemOhRAAZ6Q7\nANJf1o9UQ+lP3e8rT11EU5MTQghRuEPM/euOC+vPFB4q2a2el5/ueAjpMbfi+lfM6Q6CHEdJNbAY\ngLv3CVMxUTJLk9IYDyEkw9CMihOTzLn8UudM6upBxisBwLJ0B0GOy+ryj56pyW0AmnuX6WfoS5nA\nqMMoISSZqABkgokq9aAJXMh4VgXgzXQHQRRZnVQDmAJABBDpXaCZpKFRakJIUlFLvYnDE2Ke2zwX\ntD2WhK4eDfd/B4JaBwgCmCCi9Ko/D1pHDnhw9KU7EO5qBWQZ5mVfgvHksxDubEHrC38A5zIQicC0\n+AKYFq4BD4fQ8vzvEek+CtPC82FadD4A4Nhrf4Fp4Rqoi2fEjSvYvA/d215BwXnXAAD8hz5B21sP\nApEIBL0ZJVfcOmibQNNeHHvlLvBwELoZS5B35g/AGEP7Ow/Du3cLmChByi1B4ZqfQdAenzct3NWC\nIw/9GDmnXIGc5V8Gj4TQ/K8bUHz5LWACjV8lwcp0B0COy/akevbABWqLujwdgRBCCEkfmXP5la5Z\n9b+Uri11a81JK/UovvwWiPqcIV/v3vYKVIVTUHTJTYh4O3Hkwf+CYe4qiMY8lHz9DjBJBTnow5G/\n10A3czmCTXuhLpmJ3Et/g8Z//BSmRecj2LIf4HxECTUAdH7wNHKqLgMAyH432tbfj6Kv/haSuQgR\nT0fMbdrW34eCc38CdZkVLc/8Bv79H0M3Ywm0FQuQe8ZVYIKI9g2PoPPDZ5C36tt927W/9RB00xf3\nPWeiCtqp8+FxboJx7uoRxUuGtaLi+leY69bzqcpsHMj2muolADqjF0g5VE9NCCHZpHcCl6s1v0vL\nBC5y0AfOOeSgD4LWBAgimKgCk1QAAB4JAVzJmZgggocCgNx3gRUd765FzqlXjuxYAS+CrS6oi5T7\n8T2fboRudhUkcxEAQDTkDtom7G6DHPBBM8kGxhiM86rh/fxDAIBu2qK+EWdN2RyEu4/2befd8wGk\n3BKoCqf0259+9gp4Pt0wonhJXLlQyljJOJC1I9XmhWY9gGkA6nuXSbmSXtSJeemLihCSiTjVVI9L\nySz1iIkxtDx9IwDAuOA8mBacO2gV06IL0PL873H4vm9CDvpQePEvwJgy3hXuakXLs79FuL0Reau/\nDclUANGQC/fud9D42P8gZ/lX4P18M9TFMyGZCkYUUrBpL9SFx8vEQ22HweUImv55PXjQB9OSi2Cc\nd2a/bSLdx/rtXzQVIOI+Nmjf7k/egN52OgBADvrRuflZFF92M7q2PN9vPVXhVAQbPx9RvGREVgL4\nNN1BkCxOqgGUQ7kpv++SiX66nkapCSHJR3O/jCtjVeoxUMmVf4RkKkDE04Hmp26AqqAc2snz+q3j\nO7AN6qLpKP7aLQh3NKL5qV9DWz4XgkYPyWxB2XfuRbj7GFpfuBn6OadANOTBctHPAQA8Ekbz0zei\n6Cu/RttbDyLS1QrDvDOhn7V8yJginjYI+qgubDyCYNNeFH/tD+DhAJrWXgtNmRWq/Oivw/iVBZ32\npwBBhOGkVcrz956AeckXlZryAZgggokS5IAXgkYfd98krpUA/p7uIEh2J9VTMLA/damakmpCyFig\nrHqc2O/VN12doq4evaO7oiEX+tkrETiyZ1BS7XG8CfOKS8AYgyqvDFJOMULH6qEpm9NvP6qCqfDX\n74bBemrf8u7tr8A470wEDteBiSoUXvwLNK29dtikmklq8HCo77loKoROZ4ag1gJqLTTl8xBsOdAv\nqRZNhQh3Hx+ZjnQfg2g8PnLtdrwF774tKP7aH8B6TiADjZ/B89n7aN/wCOSAB4wxMEkF8+ILASgn\nBEyiiYuTpCrdARBFNtdUnwTAE71Ala+imxQJIUlHdxClnyfEPDd2XFhfnaIJXOSgH3LA2/fYf2A7\n1JbBebxotsB/cCcAIOJpR7itAVJuCcJdRyGHAspyvxuBw59CVXD8Kyrid8O3dysM86rBwwHlaghj\n/RLmWFQFkxFub+x7rp+5AoGG3eByBHLIj2DjZ33Haf7XrxDuPgrJmA9BrUPgcB0453Dversvcfft\n/xhdm59F0VduhKDS9u235Mo/ovxHD6P8Rw/DvOQimFd8tS+hjvi6IOjMYGI2j+sllbXi+leodHUc\nyMr/o80LzQzAHAD9bnOmSV8IIWOCWuqlTapKPQaKeDvQ+vzNPUHIMJx0Rl8XjO7t6wAApoVrkFP1\nNRxb92cc+XsNAI7cVd+GqM+B78B2tL9z/Iq+edmXobZU9D3vfP9J5FRdBsYYdNMWoXvbK2j8+09g\nXHjesHGpCiZDDnj6Si9UhZOhnbYYjQ//BGAMxpPPgdpSAc5lhNoblRsnAeSf/WMcW9fTUm/6Ymin\nLwEAtL1Rq7TJe+oGAMrNigXn/GTYGPwHP4FuxpIR/y5JXAzAcgCvpTuQbMc4z74xFPNCcyGA2xB1\nk6K2XFtQfEnx8J8EhBAyClIg4t5+5LAx/pokmfpKPWhq8X66tr4IptbBNP+cIdcJtrrg/uQN5J/5\n/aQfv+WFPyDv9Kv6jbyTE/Y7163n35SOAzPGIgAcUYu+yDl3jeHxVgH4N4ADPYue55z/LsZ6PwHw\nMwAzAFg450cHrpNsWTlSDeUmxX60U7U0Sk0IGRPZN3SRXkpXj/PbHtNeMTZdPSY408I18NS9N+w6\nakvFmCTUPBKCftYKSqiTb1Eaj+3jnC8Y6kXGmMQ5Dyf5mO9yzi+Is877AF4GsCHJxx5SttZUT8eA\n7zl1MU36QggZM1T+kQIy5/JLnTMOLg/er3pMe0XKSj0mGiapYZxXnZ5ji6pBLftIUsxPdwDRGGPf\nYow9wxh7CcB6pridMbaLMeZgjF3Ws94qxthGxtjTjLE9jLFbGWNXMsa29Kw3shmNYuCcb483Yt4T\n571Rz1/uGQkHY8zNGPsTY2wbY+wtxpgl3jGzNameC6AreoEqV0Uj1YSQsUE11WNuv1ffdFH3r9qv\n1vw+LRO4EJJmk9N4s6KOMbaj5+eFqOUrAVzFOa8G8GUAC6Ak/18AcDtjrLRnvfkAfgqgEsA3AMzm\nnC8D8BCAq4c45krG2E7G2KuMsblj8J4AwABgG+d8EYCNAOKW12Rd+Yd5oVkFYCqAI9HLRYMY9wyE\nEEJGh3LqseIJMc8fPWvaHtVeSaUeJNvNRwpLHaIMVf7xBue8refxqQCe5JxHADQzxjYCWAplgHMr\n57wRABhj+wCs79nGASDWXPbbAEzlnLsZY2sAvAhgVvLeTh8ZwFM9j9cCeH6YdQFk50h1CZRvOLl3\ngaZUk8tEpkpfSISQTEY11ckXXerxqPZKKvUgZJyVgKB/2+LhRhYCUY/lqOcyYgz+cs67OOfunsfr\nAKgYY4WjjDGM/rmwdqgVMYKP8mxMqssx4D+uplRDo9SEkLFEQ9VJtN+ra6ZSD0IGGW9JdbRNAC5j\njIk9tcmnA9gymh0xxkpYzyxDjLFlUHLZY8NvNSQXgAWMMYExNhnAsqjXBACX9Dy+AsDwd/ciC8s/\noPSnjj4rgqpQRUk1IWTsUEqdFFTqQchx5lBnwyR/45FJ/sPe4kCLWh/xFQHnpzusobwApcZ6J5QR\n3+s4502MMeso9nUJgB8xxsIAfAC+xnv6QzPG1gH4Huf8CGPsGgDXQalQ+IQxto5z/r0B+3ofSms+\nB4BdUEpLenkAzGWMfQygE8Bl8QLLuj7V5oXm26B8xXl7lxVfWnyxdpJ2yHYwhBByIoSQ7N/Z0DDc\nZUUyDJlzeV3XzEO/lP6ntFvM1aQ7HkJSSR1y+wu66zuLvYf9hYFWVTF3I08MGxiQM2BVHwDj/zz1\nshxrPyQxjDE35zyh+QWyaqTavNCsA2ABcCh6uWSSaKSaEDJmOI1Vj9p+r675mvDPpF2ayop0x0LI\nWGKRUCTPc6SjyNPgLfY3RQojneo8BMw6EUb01voOX7Srg9IyeO+YB0tiyqqkGkpCPWhoXtRT5w9C\nyBiilDphnhDz3O5Z0/YPKvUgGcjobekqctd3F/kaQ5ZQm5gPr8EoyLkCYwUACgAA4qh2PReUVCdF\noqPUQHYm1f2+3tRFajOTGH1kE0LIOCBzLr/aNbP+eul/Srq1udTVg0xo6qDbX+g+1FHkPRIoCrai\nINKtyxHCOSqBmQGYAUQlzyd89i2DaUY9WQo5cdmWVE/CgJFqTRl1/iCEjDkaqx6BqFKPqemOhZBE\nsEgoku9p6CjyHPYU+ZvlAaUbJcpK6Mm6TuzjICxzWeZik0ZlPshES0CQytSCVFbIxMLJjKlOPtH3\nQkYv25Lq6ejfNxFqi7ooTbEQQggBlXqQiYPLMkz+o9GlG1JP6UZOEko3+glG5LA3JASDspZDyBPU\nqlLZoKuQDLrJGkEQywCUxdhszokfmYxWtiXVUxDV9QMApBy6SZEQMsZ6eqqS/qjUg4xnA0o3WGGk\nW5sjhHOlJJdu+MI84AtLwTDXMybkCRpNuWDSTRfN2iKVOfE8jZLqNMqapNq80KwFkAfgYPRy6vxB\nCBlr1P1jMCr1IONFVOmGt8jfHLFEOtS5CCa1dEPmnHvDzOuPqCIyN0GQCiWdplw06WdIeSqTJg9I\nVqvIvPt++Lalpra6NUn7IwnImqQayk2Kg3o3CgZhtFNbEkIISRCVepB04bIMs7+1q9Bd313c13XD\nZ0xm6UZY5iFvWPAFZG2Es1xBJVlUOu0UlVE3VdKLGkNy3klccwBQUp0G2ZZU9zvFlPIkgyAJNCED\nIWRsMRqpplIPkkqaQLevwFPfWew9HLAEjya9dCMY4T5vRPIHuYEzlieqVSUqg3aqWq8tVRkFUZW0\nNzI6szGCKbVJ8mVTUl2KASPVaot64GxEhBBCkuyAV9d8TeQalUMzn0o9SFIJkVAkz9PQXuRp8BX5\nWyKWSIcmD0GTVind0AEYdekG55z7I6zbL6sDYW5iTCiQNJoytUlXoTGr83Xm3v2PPxXpDiBbZVNS\nPR3KFJ59VLkqSqoJIamQlSPV/Uo9hp8JjpBhDSzdKAq1SfnwGQxK6cbxMs5RlG5EOA/7I2JXQNYG\nIyxHEEWLWqeepDHqpmrzJL05iW8jVaakO4BslU1J9RQMaKcnmsSJ+MdCCJlosqz8g0o9yInQBLp9\nhZ76riLvYX9RoBUFsluXjNKNkMwD/oiqMwR9iLM8SZSKNXrNZJ1BW64xCGJ+0t9I+lBSnSZZkVSb\nF5o1UG5AqI9eLhklGqkmhJAkolIPMlKC0nWj3eJp8Bb7m3lhpFOVh6C5X+mG0POTQPIciMAdkNXd\nYWYOgeWrVKpSnVEzRW/SWjQmIBvmpqC/vTTJiqQaQCGUeup+sykKeoGSakJIKmT8SLUnxDx3eM47\n9oj261Oo1INE47IMs6+l0+Kpdxf5mpJSuiFzLvsjQmeQ67wyyw0LokWlVpUajLopxhzJaARgTP47\nmTDK7/vh26ymtprHX5UkU7Yk1fmI8aUm6kRKqgkhYy+D536ROeevdc049Avp2pJubS5dds5ymkCX\nr9Bd31nkOxIoCrSyQtmtNSulGzkAlO/cBEo3wjIP+mWpK8T1Pgj5EVEq1mjVk4x6zSSjXlTnQZl/\ngvSnhtKc4Ui6A8k22ZJUm4HBYyeCRqCaakIIGSUq9Ug+3/6P0fbWA4Aswzj/bOSsuHTQOl1bXoD7\nk/WAIELUm1Fw3s8g5RTBf/ATtL39YN96oWMNsFx0HfSzV6L1pdsRaj0I3YylyDvjKgBAx/tPQl00\nDfpZK+LGFXa3oe21v6DokpvgO7AdHRsegRDyRiQeiayonN++oMgka0Ne88ObPjC4AZ0LQIfXh8VT\nJ+HihXMBADvqj2D97s/BAJTlmnHlioVw+wN4cstOXHXKMq9fVnVFmCnAhEJIqlKNXj3JrFcX6Y0C\nzScxClNASXXKZUtSbQEQiV7AJCYwNcvmy0OEkBSSOYeQISPWnhDz/MlzXtvD2q9TV48k4nIEbW/c\nj6LLboZkKkDjo/8N3czlUBf2vwCgLp6BkqvugqDSonv7OrRveASWi38B7dSTUfbtvwAAIr5uHHng\n+9BOW4hgywEAQNl37kXTE9dBDngghwIINu5B7imXx4lJKd1of/sBcWGx2bt476NBf3ujuWhZhSlP\nrxMbO7vFBze9W3zuhV8ARAn/7+zT+ra96413Ma9cmZCwtduDt5378N0zVnZJkrm7K6CSO1HB1eZJ\nGpMxXNgaPls/o2SePpm/zyw3BcCH6Q4i22RLUl0CwB+9QFWoMjOWId9whJBxLwJwYYLXVg8o9aCu\nHkkWbNwDKbcUqlwlETXYTofv8w8HJdXaqSf3PdaUzYFn9zuD9uX97H1opy+GoNKCCRJ4OAjOZfBI\nGGACOt9di9zTvt5vG02g01voru9SSjeO9ivduOWQAxeddIZREr1A4fHKyRKzEeGIjHAkAklU6joi\nnIcbOnzdnb6gOS9vfn03KxHfc71feNq8b6knlV1sBmAujjruohnt+OjztzCjZN4J/gZJFLp6lAbZ\nklQXAQhEL1AVqKj0gxCSMly5UXrCJtVU6jH2wt3HIJktfc9FUyGCjZ8Nu437k/XQTl88aLnHuQnm\npV8EAKgKJ0MyWdD4j5/COHc1IkcPhtX+jvCCyOGWogPbZUukU5OrdN0wAFBGi6O6bhxze6FTq/qS\n5l4hmQe2Hmz2F5hyNd1sdpNKLFXr1OUGnbrEvP/A2rxlswtRZvlqBQB0+97Ase4m3PniNZC5jDWL\nv4mTpiwDAEyxzMZLWx8Z3S+NDIXub0iDbEmqCwG4oxeocmjiF0JI6sgTNKWmUo90G/p/GvfudxBo\n3IuSK27ttzzsbkOo1QXt1AUwe5o6LZ767pWzSsKWCo2UjxbD02++nPfdJZXS1u0vTtne0Y3ZxYVY\nMWPoHOyox+9VSRqxPWxpYmIh1OoyjV492ex2d+k3fXaDpmbNnbDklFVEb/Px3nfwzepf9j2PyBG0\ndB7GTy+8E+2eVvz5Pz/Dry79O/QaI0zaPHR6jo7y90OGQEl1GmR8Um1eaFYBMAFoi14umqjzByEk\npSZUeysq9Ug9yVSAcFdr3/NI91GIxthzkvhcO9BpfwolV9wKJqn6SjeKfUcCR3ZuMhdYcnRXHHpI\nHNh1Y9fhJkzOz0EwHEFTpxvfrFqE+97+AAumlMkyU3UGuc7LhdyQIBaJGk251qApz8mPHNZL0v0o\ntXyj7ypFu7sVD6y/Ed9YfT0sOWX9Yms4tg8RHsEUy+y+ZbkGC6YV2yCKEgrNpSjKmYzWzgZMLbIi\nFAlCLWmS+askStkrSbGMT6qhfJjIAxeKBppNkRCSOhMpoz7g1TX/NHyN9AmVeqSUunQ2wu1HEOpo\ngmQqgMe5CYUX/rzfOkIkENbs/8Dd/PoDxgtOW908s/E5YWDpxj1HXFhz8hxIQv9R7ogsY9OeA/xr\nK1cca+oKh30RralbWNERZnXFoun7Qq4uL2aLuqKccrR1N/U99wbcqH31V7ho2fdi1kF/vPdtLJlR\n3W/Z/IpT8NG+t7Fizrlw+zrR0tmAAnMpAKClswGledNG90sjQ6GOKWmQDUm1GTG+z0StaEpDLISQ\nLCWz8Z9Xe0PMe4fnvGMPa78+Gep0R5N9mCAi/6wfouXpGwFZRv6cpX6b3Hy06ODO8J5tG/Nn5huF\nJZOLDQ++tzlXCvux5cN3Jm0BkKvX4junLgUAtHm86PD5UF5Q4O0KHW9Rp1KXqrbu2Vmw8qTvaspK\nzy0sLeHYWf8HPLD+YcPcyctg0g3d7lmj0qHQXIbWzsOw5EzCpt0vorXrCF7bthavbVsLAPjJ+bf1\n7WPbvo340Xm39NuHbfJSOBs+ws1PfRtMEPHFFT+AUasMoO85sgNzpy4fg99oVqOkOg0Y5+P+c/6E\nmBeaFwL4CQZMUV52VdlVqjxVRVqCIoRkHfv+Q2ETG58DGb2lHtdL15Z0ibl0HT7FtErpRmeR93Cw\nKHiMFchuXU/XDdVw23HOuV9mXUFZ65ZZTliQiphaPUmjV5ebNSqzLpkx7jzwHg617sGFy76TzN0C\nAO7698/wX+f+HnoNjXUlmbqmtjqU7iCyybj8gE+yHMSY+IWpWFI/cAghZDgyBx+PNyq6vLrma6jU\nIyWEcCBc4GnosHgOe4sDzbww0qXOY4EcjcD0iNF1o1eE87A/InaGuN7HhbywJBWLGk25Xq+elKMT\nNcdrpsfQ/GmnwuPvTPp+u30dqD75Ekqox0YhgMZ0B5FNsiGpLgYQHLiQSUybhlgIIdlrXF0WpFKP\nscNlmef4mjst7np3sb8pbAm1SfnwGw2CnMMYO35ZXgSik+eQzAN+WdUZhtEPoUBWqY63qDMIQkHq\n30l/Vbbzk75Pky4X86edmvT9EgCUVKdctiTVgYELBUmgpJoQkjKD7pZOE5lz/nrX9EO/kH5e0kVd\nPU5Yb+lGsfdwwBI8KhTIHl2OEM4VBZYLIBdAT/IM9CbQgQjcAVndHWE5QUG0QKUu1ejVk80mdb7e\npMyrQEgyUF11imVDUj1o4hcIYBBBdYOEkJTh4+BGRSr1GD0hHAgXuBvai7wNvqJAi1wY7tTkCcEh\nSzdkzmV/ROgMcp2HC7kRQSwSelvU5Yh6IwBj+t4NyRKUVKdYNiTVOQC6ohdIJklLM5QTQlIpnRm1\nUupx7rGHtd+gUo84uCzzXG9Tp8XT4C4aXLpxfLpDCQAYwjIP+mWpK8T1PggFEUlVImk15Qa9ujRH\nL6hitqgjJEUoqU6xjE6qzQvNDMoIQv+JXwwilX4QQlIqwhkHS21qTaUew9MEOr0W96HOYu+RQFHw\nqFDA3Tozi8Qs3QjKzOsP929Rp1dPNulVhSajIFDyQsYj+v8yxTI6qQaghlLE1u+bTDSI1PmDEJJq\nKc2oqdTjuOjSjd6uG7lscOlGX4u60OAWdWaVWW/uXZeQiYGS6hTL9KRai1gTv+hppJoQklqpulEx\nm0s9jpduKF03CkPtUj58RoPA+5VuRASlRZ0vom9LV4s6QlIgN90BZJusTKoFLXX+IISk1ljfqJht\npR7aQIfX4j7UWeQ9okyYEqN0I8S43y+rujoixvrx2KKOkDFGV1ZSLNOT6phlHoJWoPIPQkhKjWVG\n7fLqmn8a/om0U7Mw40o9xLA/VOBu6OjpuhGzdCPAlRZ1XazgiMAGtaijQRSSrSipTrFMT6pjfpjS\nSDUhJNVkDiR7RkVviHn/5Dnn6N81X58C9aCJYyeUntKNDoun3qNMmNKuylNKN8yMMUt0izqvYGn1\ng1rUERIHJdUplulJtQ4xvsYENY1UE0JSSwbjyRqvHlDqMSUpO00hrb/da/HU95RuHGUFskdvFiO5\nImN5YZkb/LLUGeZ6f0ioaHeLJd3Uoo6QUaGkOsUyPanWIkZSzSSmSkMshJAslqzyj4NebfM14asn\nRKlHX+mGp8FXFGzhhZEuTS4LmjUC0wdlwB/pbVE30+NXlYX06nJjT4s6S/y9E0LioAHEFMvOpFpk\nmf6+CSHjzIneqOgNw3un+9yjD43HUg85wnM9TZ0Wb727yNcctoTbpTz4THqBmwIyUwdlbTDCcsKi\nZA3K6kndTDNZMEsmalFHyNiiv68Uy/TkMgdAeNBSobedPyGEpMZoa6rHW6mH1t/usbjru4q9RwKW\n0FGhQPbojULEGJTFSIjrwYU8SNJcrtaUh9XqSbKeWtQRki6UVKdYpifVZsRIqpnAKKkmhKTUaAqq\n01nqIYZ9oQJ3Q3uR57C/KNjCLZEujQEhrcylYBjGEIQCqFTzJZ2mXKVTlWhMAt0ATsg4Q0l19PIP\neQAAIABJREFUimV6Um0CJdWEkHEgkclfUlrqEVW6UexrCheGOyQDD4kiF7nMzCEmWqBRL9TqDOUm\nrTqfvqQJmTjo7zXFMj2pNiJ2+Uemv29CyDgzkpHqsS710PnbPBZ3fWeRtzFUGDoGoxxhGs7ABDMX\nxCJBo1lsMJjKc1SiPsvmYiQkI6nu++HbUk1t9eA8iIyJTE8uNQAiAxfSSDUhJNXkOAXVySz1EMO+\nUGF3Q0eR97C3IHhMNkZk2cAhqJiRSaoSSatZbNYbS3NEQTXO7ngkhCSZFoA73UFki0xPqlWIMTrU\n9GzTU4JGUDGRCdE/ECEwoeexAIGJTOz3XBj8LxOZCBbjNab82/OaGL2s32vKY5ExJoDh+Ous3+sC\nWNQ60a/1fyxGPU/Dr5sQMpShhqlPqNRDKd3osHjrPfn+zkBOJCybZMZ0TCup1aUavXpxvkZXaBIE\nyp0JyVKUDKRQpifVEmKUMspeOSh75WAa4kkdBsYkJjCp/4kDk3oS/N7nQs/JRPTjntOJvhOHGCcT\nECAOPIEY9Jwpx+o76Yj6N/qEYsDJw8CTBTHW8r7nQO9JCX1wkHFtYPmHzDlf3zX90HUjLPXQ+ds8\nlu6GzvyA258XDodzZAgmplZp1MVavWZJoSbHRDcKEkJIGmV6Uq1CrJrqbMDBeYhHeIgPKn/JWL0n\nBwNPJHpOJoY4gRh0ZWLQ1YhYJxNRVycGnTTEuvIw8AqEwMQYVyMGnjiIMa5GRD+nE4kJJDqjHq7U\nQwz7QgXdje0FAZ+nIBQK58tgOZDUenWBQa9eUCQZNZn+uU0ISZ5kzTtFRiDTP5wlAJk9Ik2Oi0Dm\nES7zYJZ8hvRejeh/8tDvxKHfyUTvCYQ44GRhiJOJvn+jS5gGnFD0O3noOVGIUd4U+8rEUGVMSh/5\nwa8JbELXMMgMPLrUg0kyL+xq8BV4OiN5EbHTAo0/D5LWqDIZdSqbRdAKRaCxZ0IImTCyIanOkgyL\nZJ1svBohgDGRCUzVcyow1H0RA08mBj7uOZkYWLbExH4nCcevKAwsc4ouZYq+MgGoJH+kVGsQm8Ag\ncAYBPScKH7Qu6rzfd7HGKGvV35FbugySyaDVzNL1TCRsTO8vlhBCyInK9KQ6BKAESmI91KVyFvVv\n72OewI+c4PrD7YMQMhwZnMvj90SCcW4oiETWzAyGnhn42utSm3ra9AXnlxWvmq6S9BN61J0QMmFQ\nbpFCmZ5U3wogF4AwzI84xDIRyu9HhFKbHf184OPe59KA7WP9DFwn+nE0HuNxon8cA08kGPqfYAx1\nIpHME4V4P4RklFj/U4e4kN8VCiw98NlauWv/B0+eNedrU6yFc1ZIgqRKeYCEEELGREYn1V3bu5oB\nNKc7jpEyLzQzxE7yR3IicKLr9J4kRJ8sxDqZiHWSEGsdIcbrAgafSAx1wjDaEwmg/8lErBOL6GOk\n+qoEnUhktgEdPqDyQbPYC83kRl6wtxU5O3kwLD/qWLu3SG/ZfOGs80+dlT9zqSiI1DufEEImuIxO\nqiearu1dHFnUraTnJIJh7E4UhltnuJMCKeon3slErJ+hrlb0Hj9Wch3v+UhEX3mIXtb771ieKAy3\nn2zDOAcCUM32QV15lJvbG1H4algWIloemq6SI8VqHs4TAh3m1zbfafxAm9e+YvZFutmTlhlEgT6S\nCSFJlY2fwWnDOKffNyGp0nMiMdZXHYb6iXWyMFQZ03AlS0OVOg11MgH0T7CH+tAZbXnTcFcmUlHC\n1PfDONfmh+Qvlvo1Pjc35HdFDB7GGZN4xMjA1QxCgIF1M4hdjEntjIlNDKpWQPCU5k3NWzHn3FXF\nuZMrqV0iISRJDDW11d50B5EtKKkmhIyZAVcj0nEyIWH0JxPDXaGIdV+EAM5VJV15a6SQVpAhtTGI\nbWBih8DERkBqEpgYt8Xn5MJZlmWzzlpdaC61UW5NCDlB+praal+6g8gWlFQTQkgSza1YnidAPAfA\nWVBGu5sAJNytZFrx3NKlM6ur803FM5MdIyEka4g1tdWDZpYmY4OSakIIGQOVFVWFAM4HcAaU9p7N\nUJLshMwuWzh50YwzqnMNhRXJjZAQkuECNbXVNIVUCmVFUu202iQokyuEe39sdc6suSGQEJI+lRVV\nJQAuArASQABKcp3wB+/cKcunL5h2WrVJlzspySESQjJTW01tdUG6g8gm2ZJUrwLwzoDFHMol2d5E\nOxT1eKhlo1lnrPab6LFDtjpn5v/HJmScqqyoKgfwRQBLAPgAtGAUyfWCaafNqZy6crVBay5OcoiE\nkMzSUFNbPTndQWSTbEmqqwG8le44xgGO8Zv0J30duhpBxqPKiqppAL4MoBKAG8DRxPfCsGTm6rlz\npyxfrVMbaCSKEBLLZzW11dZ0B5FNsiWpPgvA+nTHQdKi92rEeDqZGLMTDludc1xO3036q6yoYgBm\nAbgEwGwAXQDaEt2PwES2fPZZ863li1dpVLqcJIdJCJnYttfUVi9KdxDZJFuS6nMAvJbuOAhJgd4J\nhMbtFYRkxmerc4aS9HtLi57k+iQAlwKoANAOoDPR/UiiWlw555xFs8rmn66WtMbkRkkImaDeq6mt\nPi3dQWSTbEmq1wB4Jd1xEELGhIzxeQWhG8DLtjpnIN4bqKyoEqCUg1wGoAzAsZ7tE6KRtNJK65pl\nM0rnnaoS1bpEtyeEZJTXa2qrz013ENkko5Lq1SbTDADfwfGbECMAIucYTTMvzsn5VjpjI4RkpXoA\nvwfwyEhq/CsrqkQAC6Ek1xYArQA8iR5Urzaqq2znr6wosq2UREmT6PaEkIzwQk1t9ZfTHUQ2EdId\nQJKVAZgCQAPAACAHQIGfy7lpjYoQkq0mA3gAgNNptV3ptNqG/cx1uOwRh8v+EYBf9WynglIWktCo\nszfoDr6586mNT713992uZuf7ETkyoctkCCGjkvAJOTkxmZZUMyij0x4od9V3A+jiyk1AhBCSLjMB\nrAWw02m1xR05crjsIYfLbgfwCwCPQhkkmAplwGDEun3tvte2P/Hms+/fe3f90c83y3KEbmQlJHt4\n0x1AtsnEpHpQPUuIc/oiIYSMB/MAPOe02j5yWm1xax0dLnvA4bK/A+DnAP4FIBfK1Th1Igdt97R6\nXvno0dde2PzAX460Hdgmc5mmLSYk89GAYoplYlLNBi6kpJoQMs4sBvCq02rb5LTaTo+3ssNl9zlc\n9tcBXAvgBQAFUEpLVIkctLXzcOd/tvz9pZe3PnJfc0e9g2fSTTWEkIFa0x1Atsm0pFpAjJHqIOc0\nCQghZDw6DcBGp9X2utNqWxpvZYfL7nG47C9BGbleB6AISnItJnLQI20H2l748G/Pv7rt8dqjXY11\nowmcEDLujWJiKXIiMjGpHoRGqgkh49zZALY4rbYXnVZbZbyVHS57l8Nlfw5KzfWbUG7SnoQEP9MP\nte5pedZ+31Nv7PjXg23uln2jCZwQMm7RSHWKZVpSHUGM8o8gJdWEkInhYgA7nFbbP51W26x4Kztc\n9jaHy/4kgOsBvA9l1LoUCX6272vadeTp9+5Zu2HXC//o9B47NJrACSHjDiXVKZZpSXUYscs/KKkm\nhEwUAoDLAXzqtNoeclptU+Jt4HDZWx0u+z+gtOLbBiW5LkaMQYbh1DV8fPDJTXc98r7zlbXdvo4j\niYdOCBlHKKlOsUyb/KUKwPcBHIxeXiRJ+t8Ul/w8PVERQsgJCQL4G4BbbHXOppFsUFlRNQXAl6BM\nJOMF0DKaAy+cfoZ13tQVqw0aU9FotieKtRtux66DH8Kky8X/fvXvfcs9/i48/Obv0dbdjHxTMb57\n1o3Qa0yDtr/vlevhavkU00vm4Ufn3dK3/IkNt+NQ6x5wcBTllOMbq38BjUqHDbtewPufvow8YxF+\ncM7vIIkq7Gt0YMeBd/GVqh/HjZdzjr+8fC2+f87voFMbTjh+AGjrbsbNT38Ha5ZchS/M/yqaO+rx\n8Ju/73v9WFcjzl/yLaw++St9y97c+TRe/PBvuPWbz8Ooy4Hj4Ac41PIZzl/6rbjvgQAAcmtqqzvT\nHUQ2ybSR6giUKYv7Cco0Uk0ImbDUAK4GsM9ptd3mtNry423gcNkPAbgHwO8AHAAwDUrHkIRs37+x\nbu2G22u37dvwvC/oaUt0e6JYMfsc1Kz5v0HL39jxJOZMWoSbLn8McyYtwvrtT8bc/gvzv4pvrr5+\n0PIvV/0Yv7z0Qfzq0oeQZyzCxl0vAgA+cK7DLy99EOWFM+Gs3wrOOV7dthbnLf7GiOLdfWgzJhXM\ngE5tSEr8APDcB/dj7pRlfc+Lcyfjl5c8gF9e8gB+8eX7oZI0mD/t1L7X290tqGv4GHnG4+dz86as\ngOPgBwiG/CN6H1kuSAl16mVaUh2zy0eAy5RUE0ImOj2A6wAccFptNzmttthDgj0cLjt3uOz7AdwB\n4BYAzVBmZ8xL5KCcy3zL52861m64/b5PXPaXAiEf9b5N0Myyk6HXmgct/8Rlx/LZZwMAls8+G5+4\n3o+5/ZzyRdCo9YOW9ya9nHOEIkGwqGKfiBxGKByAKEjY8vkbmDtl2ZCjyANt3fsWKiuqkhb/zgPv\nodBUipK8ipivf3Z4OyzmMuSbivuWPWf/K7644gdgURVMjDHMKpuPXYc+HNH7yHLU+SMNMi2pjpk8\n+6mlHiEkc5gB/AZKcv1zp9U27BTmPcn1ZwD+ACXB7oQycp2TyEEjcli2163btnbDHfd8Wr/1tWA4\nQFMgn6BuXztyDMoFhBxDAbp9HQnv4/F3/ohfPX4JmjsO4Yy5XwIAnDn/q/jTC1fD7evA9JJ52PzZ\nepx+0sUj3uf+pl2YUjg7KfEHQj68seNfWLPkm0Pu5+N972DxzOq+55+47Mg1FKK8YMagdadYZmNv\no2MkbyPbUT11GkjpDiDJIohxoyIHEOY8JDGW0EQJhBAyjhUA+COA/3ZabbcAeMBW5wwOtbLDZecA\ndlVWVH0KYD6Ay6CMXB8F4B7pQUORQGTT7n9v3rxn/bZTrOcvn1ZyUpVKVA+b2JOx843V10GWI3jm\n/Xvx8b4NWGk9F8tmn4Vls88CAKz76DGsqvwSdtdvwZY965FnLMKXVv4QAht6TM0b6IY2xsj4aLzy\n0aOoPvkSaFSx/xcJR0JwHLTjomXfBQAEQ368vv0J/GTNbTHXN+py0ek9lpTYMhyNVKdBVoxUA0CI\ncyrCIoRkolIAfwGwx2m1fcdptQ07EYzDZZcdLvt2ADcAuB9Kh5CpAAyJHDQQ8oXedjz73r82/fnu\nfU27NkYi4SETehKbSZeHTo+SIHZ6jsGkyx3VfgRBxKIZq7DjwKZ+yzs8R3GwtQ4nV5yC17etxXe+\n8GtIogqfHd42/P6YCJnHn8l+JPEfbHHixQ8fwI1PXIENjuewfvs/+2q/AeDT+i2YXDgLZr1yq0Br\n1xEc62rC/z37A9z4xBXo8LTitud/iC6vUtIfDgehFtVxYyOjuzmZnJhMG6kesswjyLlPB4ysoIwQ\nQiaeqQD+DuAXTqvtJgBP2eqcQ7Z3crjsYQCbKyuqtgFYAeASAIVQvox9Iz2oJ9AVeGPHvzbk6Au2\nVFnPO6W8cNYyURAz7btlTFROrcLmPetx9sLLsXnPepwcVcccD+ccR7uOwJIzCZxzOA5+gOLc/t0X\nX9n6CC5Y+m0AQDASBBgDA0MoHBh238W5k3GsqxGWnEmjit/VUodNu17EN6uvx39ffPfxeD56FBqV\nDmfM+2Lfso/2vo3FM46XfkwqmI5br3qu7/mNT1yB6758P4w6pVqppbMBpfnTho2LAACo33waZM1I\ndYDzEX9JEELIBDYbwJNQJpG5KN7KDpc95HDZ34VyE+TjUEaspwDQJHLQTu8x76vb1r7xnP2vdzcc\n3bdVphvE+zzy5s3404tXo7mzHjesvQz2unUAgLMWfg11DR/jt09+E3UNH+OsBZcDAA62foYnNt7R\nt/1d//4pHn7jd9hzeDtuWHsZPq3fCg6Ox9+5DX945nu45Znvocvb1q+7R/3RzwEAkwuVOYSq5pyH\nW575HuqP7oVt8tJh4507ZTk+P7Jj1PG3u5uhkuKPJgdDftQ1fIwFUV0/4tlzZAfmTlk+4vWz2MH4\nq5Bky7Q+1RVQLmk2DHztV0VFXytXqeekPChCCEmvLQBusNU53xjJypUVVXoApwP4IpR2fk1QemUn\npDh3cu6K2eecUZI3ZT5jQkKT0JD06vQcw2Pv3IqrL7h9VNu/8MHfsGz2FzApxo2GJ6LL24Z/vHUL\nrrnwjvgrk/NraqvXpTuIbJNpSXU5lLviByXV/6/QcvFMjWZByoMihJDxYSOA/7XVOWP3PRugsqLK\nCOBMAOcDEAE0YpgSu6FMKphesHz22ast5klzGaPceqLYtm8DbJOX9rXtGw8OttRBFCSUF85MdygT\nwbya2urd6Q4i22RaUm0BcCuA+oGv/big4Ox5Wt3K1EdFCCHjyqtQRq6Hv1utR2VFVQ6AswGcA6WZ\nUhOGKbUbSkWRtXjprC9UF5hK4vdqI4ScKFNNbfWIu/qQ5Mi0pNoIZRaxQQX6387LP32pXr869VER\nQsi4wwE8D+BGW53z05FsUFlRVQDgPADVUEasmxBjBtt4ZpaePGnJjNVn5hotdLcZIWOjraa2OuEZ\nVMmJy7QbFf0Y4j35ZJluVCSEEAUD8BUADqfV9rjTaotb/Opw2Y85XPa1AH4JYDOAcijt/BKq6djb\n+Mnhf71392Mbd734aJe3bdBVRULICaObFNMko5Lqd7q7wwACUOr/+vFQUk0IIQMJAL4OoM5ptf3N\nabWVx9vA4bI3O1z2vwP4NYAdUDqFFCPB5NrZ8JHrn5vufNhe9+o/3f7OplHETgiJjZLqNMmopLqH\nGzH6b7tlmSZ/IYSQ2CQAPwCw12m13eW02oribeBw2Q87XPb7odwc/hmUPtmWRA/8iev9z9duuONv\nWz9/6xlvwE2zwBFy4iipTpNMTaoHTUfeLUdopJoQQoanAfAzAPudVtstTqstL94GDpf9IIC7AdwM\n5SbxaVCmUE8Ax8f73vn08Q1//Ov2/Zte8Ae97QlHTgjpRUl1mmRiUt2NGCPVxyIRTxpiIYSQicgA\npXb6gNNqu8FptRmHW9nhsnOHy74XwG1QOjC1AKgAkNC825zLfPOe9Z88vuH2ex0HP3g5EPJ3jy58\nQrIaJdVpklHdPwBgtcn0XwAqAfS7jKhiTPhzadmvqU8qIYQkrBVKsvxXW50zbildZUWVAGAugMsA\nTAZwDEBXogdVS1pppfXcJTNLTj5NJan1iW5PSJY6uaa22pHuILJRJibVlwNYBWWign7uLC37H60g\nDDviQgghZEhHoJR5PGSrc4birVxZUSUCmA8luS6GMtiRcO9cndqgrrKuWT6t+KQqSVRpE92ekCwi\nAzDU1FbTfWRpkIlJ9fkAvowYE8DcXFzy/XxJKkt9VIQQklEOAPgtgLW2OmfciWAqK6okAEsAfBVA\nHpSRb2+iBzVqc7RV1jVVU4vmLBcFSZ3o9oRkgQM1tdXT0x1EtsrUmupBLfUAwCPLCV9+JIQQMsg0\nAP8AsMtptV3qtNqGratzuOxhh8v+IYDrATwCQAulW0hCo85uf6d//Y4n3376vXvvPtS650NZjiQ8\nbTohGa4u3QFks0xMqn0YYpYvNyXVhBCSTFYATwPY5rTaLoi3ssNlDzpc9k0ArgPwBAAzlD7XCY06\nd3qPetd9/Njrz31Qe8/hY/s/lrmc8MyOhGSoz9IdQDbLxKTajSGS6k45Qkk1IYQk3wIALzmtNrvT\naquOt7LDZfc7XPY3AVwL4DkoLfimIEY71OEc627sfmnrwy//Z/ND9za1H9zJM62ekZDEpWWkmjEW\nYYztiPqpGOPjrWKMdUYd78Yh1nuCMfYZY2wXY+xhxlhCnzGJysSkunOoFzoilFQTQsgYWgngLafV\n9pbTalsRb2WHy+51uOyvQEmu/wOgCEq3kEFtUYfT1HGo/cXND774ykeP/rW18/CnlFuTLLY7Tcf1\ncc4XRP24ol9kjCX0Nz1C70Yd73dDrPMElCtqlQB0AL43BnH0ycSkugtDvK+j4TAl1YQQMvaqAXzg\ntNpeclptC+Kt7HDZux0u+4sAfg5gPYBSAOUY4v6YoTQc23v0uQ/uf2b9jif/1tbd/PloAidkgtuV\n7gB6Mca+xRh7hjH2EoD1THF7z6ixgzF2Wc96qxhjGxljTzPG9jDGbmWMXckY29Kz3ozRxsA5X8d7\nANgC5XMlVpz3Rj1/mTG2quexmzH2J8bYNsbYW4yxYWeNzcSk2gOl/GPQe2umpJoQQlLpAij11k87\nrTZrvJUdLnuHw2V/CsAvAGwCMAlAGRL8rjrQ/GnT0+//5Z9vf/Lswx2eo65RxE3IRHSkpra6I03H\n1kWVYrwQtXwlgKs459VQOrMtgNJm8wsAbmeMlfasNx/AT6GMKH8DwGzO+TIADwG4eohjrmSM7WSM\nvcoYmztccD1lH98A8FqC78sAYBvnfBGAjQBuGm7ljEuq3+nu5gDaEePGl4ZQqIsuCxJCSEoxAJdC\n6RTyD6fVNi3eBg6X/ajDZX8MwK8AbIVSb13Ss68R23NkR/2/3v3zo+/u/s9j3b72w6OInZCJJF2l\nH0D/8o8vRS1/g3Pe1vP4VABPcs4jnPNmKEnq0p7XtnLOGznnAQD7oFyxAgAHlNlZB9oGYCrnfD6A\nvwB4MU58fwWwiXP+boLvSwbwVM/jtT3vYUgZl1T3aAWgGbgwwHkkwDlNV04IIaknArgKwGdOq+2v\nTqst7pwBDpe9yeGyPwjgBihfrlOhTCKTUHK9u37LgSc2/umhDz97/UmPv6t5FLETMhGMm9KPKNE5\n13B/t4Gox3LUcxkx7rHgnHdxzt09j9cBUDHGCmPtmDF2EwALgP83xLHD6J8PD9fqc9iR2UxNqlsQ\nI6kGALcst6c4FkIIIcepAPwIwF6n1fYnp9UW84swmsNlb3C47PcB+A2AvVBGruJuN9COA+/ueXzD\n7bUf7X37WV/AfSzR7QkZ5z5JdwBxbAJwGWNM7KlNPh1KnXPCGGMljDHW83gZlHx20N80Y+x7AM4B\ncDnnfKjWmy4ACxhjAmNsMoBlUa8JAC7peXwFgPeGiytTk+pmDHGm0RGJHE1xLIQQQgbTQRk5OuC0\n2n7vtNpy4m3gcNldAO6EMlX6YSjJdX5ih+X4aO/bux/fcPt9Ow68929/yJuuGlRCku2jdAcQxwtQ\nEv+dAN4GcB3nvGmU+7oEwC7G2E4A9wD4Wm9LTcbYOsZY75WwWihXtz4YpvXe+1BmiXUAuANKaUkv\nD4C5jLGPodyAPVSXEQAZOE05AKw2mVYA+AGAQwNfuyov79TlesOZqY+KEELIMNoB3A7gHludM26Z\nXmVFFQNgg1KvPQ1AR89PQiRRLa6Yc86i2WXzT1dLWmOi2xMyTngA5NTUVkfSHUgmYYy5Oecj/lzI\n1KT6JCgjIA0DXzvXaLJelJNzWeqjIoQQMgLNAG4FcL+tzhmIt3JlRZUApWPAZVA6hRwD0J3oQTWS\nVlppXbNsRsm8U1SSWp/o9oSk2fs1tdXD3kRHEpdoUp2p5R9DTgBzKBSkOjpCCBm/igHcBaXm+gdO\nq23YSSMcLrvscNl3Avg1gHsBRKCUhRgSOWgg7A9v2PW8/clNd969t/GTd8KRUNyEnpBxZLyXfkxI\niSTUQOYm1UNOALM3GGyTM3F4nhBCMks5gL8BqHNabV93Wm3Dfl85XPaIw2X/CEobvgegdAyYCqV2\ne8S8QXfwzZ1Pb3rqvXvuPtDsfC8iR0KjjJ+QVKKkehzI1PIPBuB+KK31BtUX/bGk9BqjKOalPDBC\nCCGjtRvKxAvP2+qccb+4Kiuq1ACqAHwFgBFKWYk/0YPmGSyGKtua0yblT18iCGJCMzwSkkIn1dRW\nO9MdRLbLyKQaAFabTL8GkIsYtXX/W1R8xSSValbqoyKEEHKCtgG4wVbnfHUkK1dWVGkBnAZlNjcN\ngCYAwUQPajGXmVdazzujJG/qAoEJmXqVl0xM3QBya2qrh2oZR1Ikk5PqbwFYDmV0op8fFxScPU+r\nW5nyoAghhCTLe1CS640jWbmyosoAYDWAC6GUhjQBSLi0ozSvIn/FnHNWFeWUz+vtk0tImm2qqa0+\nI91BkMytqQaAgxhiApjWcJhuViSEkIntVAAbnFbbeqfVtizeyg6X3eNw2V8G8HMA6wAUQanbTqik\no7Hd1fbCh397/tVtj9ce7TpSN5rACUkyqqceJzI5qT6KIaaTPBIK0wQwhBCSGc4CsNlptf3babVV\nxlvZ4bJ3OVz25wBcB+AtKG34JiHB78NDrXtanrX/9an12598oM3dsnc0gROSJJRUjxOZXP5RCuD3\niNGrukSSDDcWl1yb+qgIIYSMIQ7gKQA32eqce0ayQWVFlQXA+VCmTA5BKRlMuDbVOmnRlIXTz6jO\nMRRMTXRbQk7QjJra6v3pDoJkdlKthjI95aBZFQHgztKya7WCkFAfU0IIIRNCBMCjAH5nq3MeHMkG\nlRVVpVDqrVcCCEBJrhP+gpw3ZcWM+dNOrTbpcsvir03ICWuoqa2enO4giCJjk2oAWG0y/QnKyMOg\nNko3FBVfWaZSzUx9VIQQQlIkCOBBADfb6pxNI9mgsqJqMoAvAVgEwAugZTQHXjj9dOu8KStWG7Tm\notFsT8gI/bOmtvrKdAdBFJlcUw0A9QBiTjfbEg43pjgWQgghqaUGUANgv9Nq+6PTaiuIt4HDZa93\nuOz3APgdgAMApgEoTPTA2/dvqlu78Y7aj/dteM4X9LQluj0hIzSi7jckNTI9qT6EIWbTOhQKUlJN\nCCHZQQel68d+p9X2G6fVZo63gcNl3w/gDgC3AGiEMvV5QpOGcS7zrZ+/uWvthtvv+8T1/n8CIV9n\n4qETMixKqseRTC//WA7gvxCjrnqaWp37c0vRT1MfFSGEkDRrA3AbgHttdU5vvJUrK6rbtdR+AAAg\nAElEQVQYgJMAfBXK1OftABJOkCVRLVZZz108s3T+aWpJY0x0e0IGaK6prS5JdxDkuEwfqR6yrd6B\nYLAjKMu+FMdDCCEk/fKhJNX7nFbb1U6rTT3cyg6XnTtc9t0Afgvgz1Du06kAYErkoOFIMLJp93+2\nPLHxjns+O7z9zVAkSN9B5ERsSncApL9MT6qbMMx7bI9ERnTjCiGEkIxUAuAeAJ87rbbvOq22YSeC\ncbjsssNl3wHgBgD3QRm0qQCQUCepQMgXesfx3PtPbrrr7n1NuzZGIuGEp00nBFT6Me5kdPkHAKw2\nme4AEEaMDiA/zC/4wsk63Smpj4oQQsg49DmAmwD8y1bnjPvlWFlRpQKwHMClAMxQOoUkPPps1uXr\nqmxrTp1cOGuZKIhSotuTrHVyTW21I91BkOMyfaQaUD4kY16iawiF6GZFQgghvWYB+CeAnU6r7eJ4\nKztc9pDDZX8PyuyMj0MZsZ4CQJPIQbt8bb7Xtq194zn7X+9uOLp3q8zlyChiJ9nlGIBd6Q6C9JcN\nI9WrAHwTMW5WnKXW5P+3xXJ1yoMihBAyEWwFcIOtzrl+JCtXVlTpAJwB4ItQ2vk1QemVnZCinPKc\nlXPOPaMkb8oCxgSW6PYkK7xYU1v9pXQHQfrLhpHqIxjiZsW9wUBbiPNAiuMhhBAyMSwF8LrTatvo\ntNpOjbeyw2X3OVz21wBcC+AFKP2tJwNIqKSjpbOh899bHvrPS1v/cV9LR8OuTB/8IqPyTroDIINl\nw0i1CcDdGGK68puKi68qllQVKQ2KEELIRPQalJHrj0eycmVFVQ6AswCc27OoEcoU6gmZarEWL5t1\n5uoCc+mcRLclGWt2TW315+kOgvSXDUk1A3AnlBsVB41Kfz8/f/VCnf70lAdGCCFkonoewI22Oufu\nkaxcWVGVD+A8AGdCuXG+CYCc6EFnllZOWjyjujrPaJme6LYko+ytqa2ele4gyGAZn1QDwGqTqQaA\nDUrf6n7OMBimX5ab943UR0UIIWQCkwE8CeAmW51z30g2qKyoKgJwAYDToNRaN2GI8sTh2MqXTF04\n/fQzzfr8yYluSzLCX2pqq69JdxBksGxJqr8A4ArEKAExCYL6/0pKfyEwlg315YQQQpIrDOARAL+3\n1TnrR7JBZUVVGYCLobTj80FpxZfwl/HJU6tmnjztlGqjNqc00W3JhHZeTW31a+kOggyWLUm1DcqN\nIzE/8G4uLvl+viSVpTYqQgghGSQAoBbALbY6Z8tINqisqJoK4EsAFgDwQkmuE8SwaMYZtnlTlq/W\na0yWxLcnE4wPQH5NbfWguTdI+mVLUp0Lpa465s2KPy4oOHueVrcytVERQgjJQB4AfwHwR1udsz3e\nypUVVQzAdABfATAXQBeUHsQJYUxgS2edWXlS+dJVWrU+L9HtyYSxrqa2+vx0B0Fiy5akmgG4C8oZ\n3qCbFc8xmqwX5+RclvLACCGEZKpOAH8C8GdbnbM73so9yfUcKLMzzujZPm5SPpAoSMKKOecsnF22\n8HSNSmtOdHsy7v2kprb6vnQHQWLLiqQaAFabTN8DsBhA88DXCkVR99vikusYox77hBBCkuoogFsB\n3Gerc8a9ZN+TXM8D8FUoPa7boIxeJ0QlasQq63lLZ5ZWnqqSNIZEtyfj1vSa2uoD6Q6CxJZNSfUK\nAD/AECUgt5aU/tgsilSPRgghZCwcAfAHAA/a6pyheCtXVlQJUGqtLwNQDCU5dyd6UK1Kr6qyrVk+\nvXjuKZKo0ia6PRlXPquprbamOwgytGzqeHEIw9xd3RgOxUy2CSGEkCQoA3AfgD1Oq+1bTqtNHG5l\nh8suO1z2bQD+F8D9ABiACgD6RA7qD3lDb3/y7HtPbrrrz/ubdm+KyOGEp00n48a6dAdAhpdNI9UC\nlA+0NgCDRgkuMpsrzzWZv5zywAghhGSjOgA3AXjGVueM+0VcWVGlArACwCUAzFBKGRPuAJGjL9RX\n2c47dXLBzKWCICY0fTpJu+qa2mqannwcy5qkGgBWm0xXQ7kRZNAkMFNUKvP1RcX/nfqoCCGEZLEd\nAH5tq3O+PJKVKyuqtABOgdItRAsluR50A348BaZSU5X13NNL86ctEpiQTVetJ6oWAGU1tdUJT3NP\nUifbkuozAHwLwMFYr99WUnq1SRTzUxoUIYQQAnwI4AZbnfOtkaxcWVGlB7AKwEUAVFBmZ4xbqz1Q\nce6U3JVzzllVnDv5ZMYEult//PpbTW31D9MdBBletp2duqBMLRtTfSi0N3WhEEIIIX1WAHjTabW9\n7bTa4s6b4HDZvQ6XfR2AnwN4CUARlG4hCZV0NHcc6nhx84MvvvLRo39t7Tz8aTYNtE0wz6Q7ABJf\nto1US1Bu+GgCMOgSSrXBOPOS3Nz/396dx8dd1fsff31nyWT7JmnTJN1o0xbaDjTsUBqWMmFHBEUU\n16veq96rdb94vV53r17xCl7Xa70/RRRcEBBFFlmHtSAICgVm2LrSLUmzfSeTzPr9/fGd0lKyzCSZ\nJZn382EeSZNzZj6ttHnnzDmf866CFyYiIvJat+KsXP89m8Ftre0NwDnA2TiLRyN+nxtPa7N/7gmH\nndHRaM49LNe5kjddwDxt/Sh9ZRWqAQKm+RlgISM01a82DM+35s3/rNswdHhDRESKzQZuBL7kD4dC\n2Uxoa21vBN6AszUkiROuR32FdjSHzT964XHLTu9oqJmzJNe5MuX+37r1HR8qdhEyvnIM1WcB72CU\nftVfbG551zyv99DCViUiIjKqFPAr4Cv+cCiriz/aWttbgDfiHGqM44TrnL/hH37IiUuOXnJqR131\nrIW5zpUpc/a69R13FbsIGV85hurDgH8Hto/09Xc2NKw+pab23MJWJSIiMq4E8DPg6/5waEc2E9pa\n2xcAbwJOAIZwukjk/I3/qNZTlh/Z2t5RU1nXkutcmZS9wNx16zuSxS5ExleOoboC+CFOG6LX7U9a\nXuFr/GRT00cLXpiIiEh2hnHOB33THw51ZTOhrbW9FbgYOBIYxNmnmyOD4w8NHHH4ISeeXu2rnZP7\nfJmAn65b3/HBYhch2Sm7UA0QMM1PAIcxQr9qgP+eN+/jtS73rMJWJSIikpMI8D3gCn841Dfe4LbW\ndgM4FOcCmRXAAM6FaDlxGW7jxMPOPHLlwuNOr6yobsh1vuTk3HXrO+4odhGSnXIN1WuADzLKvuqP\nN845f2Vl5QmFrUpERGRCeoErgO/5w6HB8QZnwvVK4G3A0sz8cUP5wdwur2vNinOOXT7/6NMqvJVm\nrvNlXD1Ai7Z+TB/lGqqbgG8xSqg+s7Z2+cX1De8obFUiIiKT0glcDvzYHw6Ne4V5W2u7C1iFE64P\nwdm/O5Drk/o8lZ41K887YdnctlO8norqXOfLqHThyzRTrqHawAnVANGDv17jcnkvnzvvs27DcBe2\nMhERkUl7Bfg6cJU/HBr3lsW21nY3cDRwKc4lMt04W0tyUlVRU9G+8g0nLWnxt3vcXl+u8+V1Tlq3\nvuMvxS5CsleWoRogYJpvAc7D+cfndb7Y3PLueV7vssJWJSIiMmU2AV8BfuUPh8btVd3W2u7B6RLy\nNqAB5zDj6xaexlNb2VB5sv/8kxc1LV/tdnm8uc4XAELr1nccXuwiJDfldk35gZ4FjNG+GI4NZ9Vo\nX0REpEQtBX4JbAyt9F8SWukf9XsewMYtG5Ibt2x4BPgs8AugClgMVObypJHhvuE7/vbre254+Eff\n29b14l/S6ZRuAszdL4pdgOSunFeqfcCPgF2M0Fqv2eOp/lJzy2UuwxjzHyEREZFp4kngi/5w6LZs\nBre1tlcCp+K04qvE+X4Zz/VJ59TNr1uz4tzT5s1uPcZluMp5MS9bKWDRuvUdO4tdiOSmbEM1QMA0\nPwkswzmc8Tpfbm75hxavV1e0iojITPIw8AV/OHRfNoPbWttrcK49vxDw4NzOOO5e7YPNm7V41uoV\n55zeUn9Im6EFq7H8ed36jvOKXYTkrtxD9cnAPzFKF5BL6xuOX1tb+4bCViUiIlIQdwOf94dDj2Uz\nuK21vQ44E+c8koETrnNu93bInMOaTlx+VmCOOc+vbD2it69b33FdsYuQ3JV7qG4BvskooXqux1Pz\nxeaWf9VP1CIiMoPdjLMt5OlsBre1ts8CzgHOAtI44TrnfdNLWo6Yd8KhHR2zzZZDc507g/XhXEse\nK3YhkrtyD9X7WusZONe2vs5XWua+r9njWVzQwkRERArLBn4HfMkfDr2QzYS21vYm4HycrSFxYA9O\nyM7JigXHLjp26dqO+ppGfa+FH69b3/GRYhchE1PWoRogYJoXAG8Gto/09Xc0NJx4ak2t9jaJiEg5\nSOF0DPmqPxzams2Ettb2uTj7rdcAMZxwnXO4WLXopKVHLTnlDLOqYX6uc2eQ1evWd2S1HUdKj0K1\naR4CfJVRtoDM93hqP9/c8mltARERkTISB/4f8A1/OLQrmwltre2HAG8CjsPpb93FBML1MUtOW7Fq\n8UkdNZV1zbnOneaeW7e+44hiFyETp1DtbAH5Ns5LViM2uf9qy9z3N3k8iwpamIiISPEN4bSfvdwf\nDo3YKetgba3tS4C34FyBHsG5oTFHBicc2rHq8EUnnl5VUdOY+/xp6WPr1nf8sNhFyMSVfagGCJjm\nhcBFjLIF5J0NDatPqak9t7BViYiIlAwL+B/gSn84NDDe4LbWdgM4DHhr5v0A0JPrk7oMt7F6+dlH\nr1x47Fqft6o+1/nTiAUsWLe+wyp2ITJxCtVAwDQX4VzlOuIWkIVer/m5puZPaweIiIiUuR7gv4Ef\n+MOhca8wz4Trw3GuPl8M9AL9uT6px13hXrPi3OMOm3/UqRUeX22u86eBH61b3/HRYhchk6NQzatb\nQK7A6bc5NNKYL7e0vLfF420tZF0iIiIlag/wX8BP/OHQuO3f2lrbXcCROOF6Ac6WkJxXZX2eSk+7\n//wTl85ddYrXXVGV6/wS5l+3viNc7CJkchSqMwKm+SbgAuCVkb5+UV3dkeeYdW8ubFUiIiIlbRvw\nn8DV/nBo3Itg2lrb3cAxwNuBOTiHGUdsaTuWap/pa195/kmtzf41HrfHl+v8EnPPuvUdZxa7CJk8\nheqMgGm2Al9klH3VNS6X97/mzrvMaxgVBS1MRESk9L2Is43yt/5waNxe1W2t7V7gBJyV6wacle8R\nXykeS13V7Kp2//knHzLnsBPdLrc31/kl4s3r1nf8odhFyOQpVGcETNMFXInTRmjEv9ifmtN04WE+\n3zEFLUxERGT6eAbnApmbshnc1truA9pxuoXU4NzOmPNtgrNqm2vbV55/6oLGpce5DJc71/lFtBVY\ntm59R843UkrpUag+QMA03wKcxyhbQE6qrl70D7Nmv7+wVYmIiEw7fwW+4A+H7shmcFtrexVwGk6f\nax9OuI7n+qRN9Qvq16w4d+28WYuPNgzXdOgu8Ll16zsuL3YRMjUUqg8QMM0lOFtARuwCAvDfc+d9\nrNbtnl24qkRERKatB4HP+8OhB7MZ3NbaXgN0AG8E3MAunCYCOZk/e8ns1cvPDjTXL1xVwp27hoFD\n1q3vmEAfbylFCtUHyGwBuRwwGOXgxPtnzT71hOrqjoIWJiIiMr3dgbNy/ddsBre1ttcDZwHn4nxP\n3olzhXpOFjetaD7hsDM75tTNW5Hr3AL4xbr1He8rdhEydRSqDxIwzbNwTiWPeGBxkddb99mm5k/q\n2nIREZGc/QH4oj8ceiabwW2t7bNxgvWZOKF6F84NyDlZNrdt/vGHBjpm1TYvy3VuHh2zbn3H34td\nhEwdheqDBExzNk7P6u3AiH84X2puec9cr3dpQQsTERGZGdLAb4Ev+8Ohl7KZ0Nba3oTT9vY0nL3W\ne5hAuF658LjFxyxd21FfPXtRrnOn2J/Xre84r8g1yBRTqB5BwDT/FViC05z+dS6sq2s716y7uLBV\niYiIzChJ4Grga/5waMRXhw/W1to+H7gQWI2zJ7mTURbAxnycxWsOPar1lI7aqvp5uc6dIqevW99x\nf5GeW/JEoXoEAdM8BvgYoxxYrDYMzzfnzb/MaxjTveG8iIhIscWAnwD/5Q+H9mQzoa21fRHwZpyL\nZKI44Tpnxy493b9q8epAtc9smsj8CXpk3fqO9gI+nxSIq9gFlKjncF5eGrGRfNS2ky/FYk8VtiQR\nEZEZyQd8HNgUWum/PLTSP26HrY1bNmwDvo9zm+MWnFeXG3N94ic33Re65r5v//jJl+///XA82pvr\n/An6VoGeRwpMK9WjCJjmO4EAsGOkr6/w+Ro/3jjnozqvKCIiMqX6ge8A/+MPh6zxBre1thvAcpzb\nGQ8F+oCcA7Lb5XGtXn720SsWHLPW562qy3V+lp4DVq1b36HwNQMpVI8i07P6Szi3HY3oi80t757n\n9ZbSSWIREZGZohtnVfdH/nBo3CvMM+H6CJxwvRjowQnoOfG6fe41K889/rB5R57q9fhqcp0/jvet\nW9/xiyl+TCkRCtWjCJimAXwT8ACRkcacWVu7/OL6hncUtDAREZHysgv4OvBTfzg07i2Lba3tLuAo\n4FJgLk44H/H7+FgqvdXedv/5q5e2HHGyx+2tzHX+CLYBh65b35GYgseSEqRQPYaAaZ4BvItRDiy6\nwLh83ryP1brcswpbmYiISNnZAnwN+KU/HBr3Ipi21nYPcBzOyvVsoAvnUGNOanx1vpP957cvblp5\nktvtqch1/gE+sW59x/cnMV9KnEL1GAKmOQu4EniFUfphvrth1pr2mpqzC1qYiIhI+Xoe+DLwO384\nNG6IaWtt9wInAZcAdTidQsbdTnKw+urG6vaV559yyJxDT3C53J4cp3cDi9et78g51Mv0oVA9joBp\nfgQ4Etg90tdnu92VX2mZ+2mPYYzYKURERETy4imc2xn/lM3gttZ2H3AKcDFQjfN9PZbrkzaac801\nK887bf7sJce6DFe2XdS+uG59x9dzfS6ZXhSqxxEwzeXA5xjjwOIn58y5YLmv8rjCVSUiIiIZfwG+\n4A+H7s5mcFtrezWwFrgIqMDZs53zPueWhkMaTlpx7tq5DYccZRiusVqB7QWWrFvfMW4nE5neFKrH\nkTmw+A2gEhgYacyqysrmjzTO+XBBCxMREZED3Qd83h8ObchmcFtrey1wBvAGwI0TrpO5PunCxmVz\nTlx+1ulNdQuOGKXN7ufWre+4PNfHlelHoToLAdNsBz7IGKvVX2mZ+75mj2dx4aoSERGREdyGs3L9\nt2wGt7W21wPnAGfjXHm+Gxj3IOTBWpv9c0847IxAozl3+QGf7gSWrlvfMZjr48n0o1CdhYBpVgLf\nxel5OWI7n/NM0//Guvq3FbQwERERGYkN/B74kj8cei6bCW2t7Y3A+TgXvyVxwvWITQrG4G5t9h91\n1tGX1rtdntOAf123vuM7OT6GTFO6pjwLQcsaBu4CWkYbc6dlhSOpVKGuOBUREZHRGcBbgI2hlf5f\nhlb6l443YeOWDXs3btlwDc45qr8AhwDzMo+VrZYtnaEbP/5/Z6/FCec/zr10ma60Up2lgGk249zs\ntA3nJ+DXeWt9/XGBWvOCghYmIiIi40kAVwH/6Q+HdmQzoa21fQHwJuAEnBZ8nYzy/T/DhRPE/2Pj\nlg27JleuTEcK1TkImOYngBU4f7Fep8Iw3N+cO+8TVS6XWdjKREREJAvDwHrgm/5waMTv5Qdra21f\njLPqfRTOzYxdowydDzy6ccuGq6aiUJl+tP0jN3cCVaN9MW7bqb8NDT1SwHpEREQke5XAJ4FNoZX+\nb4RW+hvGm7Bxy4atwP8A/wlsB5YAjQcNcwMe4NapLVemE61U5yBgmi7gcpwfRiIjjal1ubxfb5n7\nqQqXa9TwLSIiIiWhD7gC+J4/HBrx+/qB2lrbDWAl8FZgaWZ+H7AAeHDjlg2/zGOtUuK0Up2DoGWl\ngVt4/U+or4qk04mNw8N/KVxVIiIiMkENwNdxVq4/FVrprxxr8MYtG+yNWzaEMnO+g7PA1oqTp27P\nc61S4rRSnaOAaVYBV+JcBDM80phGt7vqyy1zP+kxjIqCFiciIiKTsQMnMP/MHw6Ne8tiW2u7G2ev\ntW/jlg3a/lnmFKonIGCa5wOX4HQCGdFHGhvPXlVZtaZwVYmIiMgU2QR8FbjWHw7l2qtaypS2f0zM\ngzjtebyjDfhj/8AjKdvO+UYmERERKbqlwC+AZ0Ir/ZeEVvpz6VUtZUqhegKClmUBdwBzRxuzI5mw\nXo7H/l64qkRERGSK+YHrgSdCK/1vKHYxUtoUqicumHnvGW3AnwYGHk7btl42EhERmd6OAW4JrfQ/\nHFrpDxS7GClNCtUTFLSsXuBexlitfjke7305HtdqtYiIyMzQDtwbWum/O7TSv7rYxUhpUaienLtw\n/gxH/XO8ob/v/pRtJwtXkoiIiOTZGcCjoZX+m0Mr/UcVuxgpDQrVkxC0rE7gYaBltDHbE4mBUGz4\n8cJVJSIiIgXyRuBvoZX+60Ir/SuKXYwUl0L15N0BVACjngy+vq//oYRtxwtXkoiIiBSIAbwNeDa0\n0q9WumVMoXqSgpb1CvAkY6xWd6WS0aeHhjYUrioREREpsOcA3ahcxhSqp8YtQCVjrVb39z0SS6ej\nhStJRERECujzuiimvClUT40twN8YY7V6IJ2O/3Vo6MGCVSQiIiKFssEfDv2p2EVIcSlUT4GgZdnA\njTir1WN1Ank8mk4PFKwwERERKYT/KHYBUnwK1VMks7f6IcboWx2z7dQj0cH7ClaUiIiI5Nsd/nDo\n/mIXIcWnUD21bsa5YdE92oA/9Pf/3Uql9hauJBEREcmTFHBZsYuQ0qBQPYUyfavvAuaNNiYFdjAS\nubtwVYmIiEie/MQfDj1T7CKkNChUT70/AzbgHXVAxArvSSQ2F64kERERmWK9wJeKXYSUDoXqKRa0\nrF7gVsbYWw1wY3//n9O2bRemKhEREZliX/WHQ9rOKa9SqM6Pu4EE4BttwDOx4c7nYzFdXy4iIjL9\nhIEfFbsIKS0K1XkQtKwIcBPjrFb/qq83GEunhwpTlYiIiEyRT/vDoWSxi5DSolCdPw8AEaB6tAE9\nqdTwo9HovYUrSURERCbpdn84dHuxi5DSo1CdJ0HLGgJ+BzSPNe6G/r4n+lKpPYWpSkRERCYhCXy6\n2EVIaVKozq9HgO3A7NEGpMC+dWBAP/GKiIiUvh/5w6FwsYuQ0qRQnUdBy0oC1wD1gDHauIejg1u3\nxuPPFawwERERydVe4KvFLkJKl0J1/r2Is2I96oUwAL/t670zZds69CAiIlKaPucPh3qLXYSULoXq\nPAtalg3cgLNSXTHauK2JRP/fh4YeKlhhIiIikq0HgZ8WuwgpbQrVBRC0rG7gj4yzWn1tX+9DA6lU\nd2GqEhERkSzEgQ/5wyFd2CZjUqgunLtxrjQ1RxsQs+3UHwb6/6SLFkVERErG5TqcKNlQqC6QoGUN\nA9cCc8Ya92g0uu2FeOyvhalKRERExhAG/qvYRcj0oFBdWH8DnmOc3tVX9/TcPZROW4UpSUREREZg\nA//sD4dixS5EpgeF6gLKHFr8NVAFuEcb159Ox+6wrFsLVpiIiIgc7Cp/OPRAsYuQ6UOhusCClrUd\nuBOYP9a4OyPW89vi8VBhqhIREZED7AE+U+wiZHpRqC6Om4EIYxxaBPhlb89tcdseLkxJIiIikvEp\n9aSWXClUF0HQsgaBq4AmxrhpcWcyGXloMHJXwQoTERGRP/vDod8UuwiZfhSqi+dpsrhp8cb+/ic7\nk4ktBalIRESkvFnAvxS7CJmeFKqLJHNo8bdACufg4ohs4Fe9fX/SFeYiIiJ59wl/OLS12EXI9KRQ\nXURBy+rF6V09d6xxL8ZjPY9EB+8uTFUiIiJl6Y/+cOjnxS5Cpi+F6uJ7BHgWaBlr0G/6+v6yK5F4\nuTAliYiIlJVO4IPFLkKmN4XqIgtaVhr4JeAFKkYbZwNX9fT8MZ5ODxWqNhERkTLxQX841FXsImR6\nU6guAUHL2g3cwDi9q3ckE9YdEetPhalKylHKtrl4y2Y+/Mr2Vz/3mZ07OX/TJi7cvInP79pFwrZH\nnLszkeAD27dxweZNXLB5EzsS8dd8/et7dnPcC8+/+utre3u4cPMm/vmV7cQzj/lENMq3OvdkVatt\n27x/+zYiqdSY9Y/2/Ac/1jf27OGcTS/zps2beW54fyfLK7s6uXCz8/u/fWDgNXO+29XFeZte5oLN\nm7imtweA+yIRftCt780i08hV/nDo5mIXIdOfQnXpuAfYDjSONeh2ywq9HIs9VZiSpNxc09vLsgrf\naz53QV0dty5Zwh9blxCz09zY1zfi3M/t2sk/zm7kliVLuW5xK7Pdnle/9szwEFY6/ZrxN/b384fW\nJfh9lTw8GMG2bdbv3cu/NM7JqtYHBgdZ4fNR695/OelI9Y/2/Ac/1tZEnD8vWcpX587lq3t2A3B/\nJMJzw8P8vnUJv13cylU9Pa+G+JsG+tmdTHDrkqXcsmQp55t1AKytqSEYiTA0xvOJSGmwbXsz8Mli\n1yEzg0J1iQhaVgKnd7UJeMYa+9OevbcPptMjJxuRCdqdSHD/YIS31Ne/5vNra2sxDAPDMGirrGJ3\n8vWNaF6KxUgB7TU1ANS4XFS5nH9eUrbNFZ1dXNbU/Lp5Sdtm2E7jMQxuHhjgtNoa6g8IyWO5ZWCA\njtracesf6/n3uTcS4aK6egzD4KiqKqxUmq5kkpfiMU6orsZjGFS7XKyo9PHg4CAA1/X18eHGObgM\np9V8o8f5a2sYBidWV3NfJJLV70NEisO27bRhGO/1h0NWsWuRmUGhuoQELWsz8Htg4Vjj+tPp2I39\nfTfZ9iivw4tMwOWdnVzW1IxrlOuIErbNzQP9nJIJzgfaEo9julx8fMcrXLxlM9/u7CSV+c/z1329\nBGprafK89mfF98+azdu3baUnmeLYqir+MNDP2xtmZV3vk0NRjqisHLf+0Z7/QBx2DvYAACAASURB\nVJ3JBHMP+HqL18OeZIKVvkoejAwylE7Tm0zyWDTK7mQCgG3xOLdbA7x1yxY+9Mp2tsT3b3c5orKS\nJ4aiWf9eRKTwDMO40h8OPVjsOmTmUKguPbcDm4DRl9WAR6PRbU8PDz9cmJJkprsvEmG2x/2akHqw\n/9yzm+Orqzm+uvp1X0th88TQEJ9pauZ3i1t5JRHnD/39dCYT3GFZvGvW68PyhfX1/L51Cf89fz5X\n9/Ty7oZZPDgY4ZM7dnB55x7S4/zM2J9KU+Nyj1n/WM9/oJGeycDg5JoaTq2t4Z3btnLZrp0cVVmF\nJ7MyHbdtfIbB9a2tvLW+gS/s3vXq3Ea3h64RVvRFpDTYtr0R+GKx65CZRaG6xGS2gfwfTieQ0RMO\ncFVvT7A3ldw11hiRbDw5FCUYiXDmyy/xrzt38pdolH/bufPVr/+ou5ueVIrPjrKFYq7Hi9/n45CK\nCjyGwRm1Js/FhgkNx9gaj3Puppc58+WXGLZtztn02s6QnckEzwwPcYZp8pO9e7ly/nwqDINHo2Ov\n9HoMXg3eo9WfzfMDtHi8r9nWsieRpDmzcv0vjXO4qXUJPztkEQCLvE6TnrleL2ebJgBn1tbyQiz2\n6vyYncZn6J9XkVJk23bUMIx3+sOh2PijRbKnf/VLUKYbyC9xuoGM8mI8JGw7fU1v7++Ttp0oWHEy\nI326qZngskO5e9mhXDl/Pqurq/nv+U4zmhv6+nh4cJAr5s1/df/wwVZVVjKQTtOTCaaPRqMsq/Cx\ntraWBw89jLszj11pGNyxdNlr5n6/u5uPzWkCYDhtY+CsEo930K+1ooLticSY9Y/1/HdbFt/p6gSg\no7aWPw70Y9s2Tw0NYbpdNHk8pGybvszBxOeHh3k+NszJme0vZ9TWvhr8Hx+K0lqxvyPmlnicw3yv\nPzApIsVnGMZH/eHQM8WuQ2aeMQ/ESVE9BBwDHAHsHG1QOBbrDkYit51lmhcVrDIpK1/ds5v5Xi/v\n2Obc3HtWrclH5szhmeEhruvr4z/nzsNtGHymqZl/3L4dGzii0sclDQ3jPva+1nWHZ7ZtvKW+nou2\nbGaex8u6xjEb4bC2ppbHo1EWV4za3n1M2xJxajPbR06rqeGBwQjnbt5EpeHiG/OcS06Tts27M7/v\nWpeLb82b/+r2jw/MbuTfdu3klz29VLsMvtay/2LUx6JRPtXUNKG6RCSvrtatiZIvhs66la6AaTYA\n3wCGgDFbCXx6TtNFh/p8RxekMJES0JVM8u+7dr66LSNX/7ZzJ//e3MzsMQ4wTkR3Mslndu3k5xOs\nS0Tyw7bt5wzDOMEfDukUseSFQnWJC5jmkcBlwBZg1NfDa1wu7xeaWz5Q73aPecBRZCa5fWCAU2tq\nXtOrutg2Dg3hMQz8Yxz6FJHCyuyjPt4fDoWKXYvMXNpTXfo2AnczTpu9wXQ68YvenuuTth0fa5zI\nTHJeXV1JBWqAtqoqBWqREmMYxj8rUEu+KVSXuKBl2cD1QDcwZl+wcCzWfXfEuqUghYmIiEwDadv+\nmT8curbYdcjMp1A9DQQtawhYD9ThtNob1c0DAxtDw8OPF6QwERGREpay7WdchvHRYtch5UGhepoI\nWtYm4NfAAsZoswfwk569d+xNJl8pSGEiIiIlKG3bg27DuNgfDg0XuxYpDwrV08s9wOM4wXpUcdtO\n/V/P3utj6bROOIuISFlyGcY/+cOhF4tdh5QPheppJGhZaeBqoJ9x9ldvTyQGbhrovyGt9i4iIlJm\nUrb9LX84dF2x65DyolA9zQQtKwL8EDAZZ3/1A4ODm/8Sjd5dkMJERERKQNK2b3cbxn8Uuw4pPwrV\n01DQsjYD1+K02Rtzf/U1fb0bXorF/l6QwkRERIooYdsvegzjUn84NOq9DiL5olA9fQVxrjIfs381\nwA/3dt/SlUxuy39JIiIixZG07QGvYZzrD4esYtci5UmheprK9K++BtgNzBlrbNy2Uz/s7r5uMJ3u\nK0hxIiIiBZS27bQNF/vDoU3FrkXKl0L1NJbpX/1DnL3V1WON7Uolo1f39Pw6oRsXRURkhomm0585\n8vnwPcWuQ8qbQvU0F7SsXcBPgLnAmPc1Pxsb7rp5oP8GWx1BRERkhoikUr864cUXvlPsOkQUqmeA\noGU9AfwRWMQ4BxfviURefCQavasghYmIiORRNJ1+otbtfn+x6xABheqZ5A84F8OMe3Dx2r7eR16K\nxf6W/5JERETyI5ZO76l2uc7xh0OJYtciAgrVM0bQslLAz4AdQMt443+4t/vWzmRya94LExERmWJx\n2x5MQcAfDu0tdi0i+yhUzyCZg4vfB5JA/VhjnY4gXddZqVRPQYoTERGZAknbTlqp1AXHvfB8qNi1\niBxIoXqGCVpWN/BdnFBdOdbY7lRq6Cc9e68ZTqcjBSlORERkEtK2bXclk+8/5aUX7yt2LSIHU6ie\ngYKW9TLwf8B8xukIsike77u6t+fahG3HClKciIjIBO1IJL7U8fJL1xa7DpGRKFTPUEHLehS4iSw6\ngjw9PLznd319v0nZdrIgxYmIiORoWzz+87M3vfz1YtchMhqF6pntZuAvZNER5OHo4NZbBwZuVA9r\nEREpNdvj8Xsv7+r8p2LXITIWheoZLNMR5OfAK2TREeTPESt832Dk1rwXJiIikqVdicTGR6LR84KW\npUUfKWkK1TPcAR1BYkDjeOOv7+9/4q/R6H35rktERGQ8e5PJ7RuHh0/78u5d8WLXIjIeheoyELSs\nvcAVgBeoG2/8Vb0994eGhx/Pe2EiIiKjGEil9j4zPHzqJ3a80lfsWkSyoVBdJoKW9QpwJU6rverx\nxv9ob/ftW+Px5/JemIiIyEGsVKr/yaGh0//lle26pEymDYXqMhK0rBdxtoK0AL6xxqbB/p/urt/v\nSiReLkhxIiIiQCSVimyIDp774Ve2P1PsWkRyoVBdZoKW9RTwU2ABznaQUcVtO3VFV+dvdycSmwpS\nnIiIlLVIOhW9NxJ58yd37Hi02LWI5EqhugwFLetB4LfAIYxzOcyQbSev6Or8zZ5EYnNBihMRkbIU\nTaeH/mxZ//DZXTvvLnYtIhOhUF2+bgduI4vLYaK2nbyiu+s3e5KJLYUoTEREystQOj38x4H+j31x\n164bi12LyEQpVJepTL/P64GHgMXjjR9MpxNXdHX9ujOZ1KERERGZMsPpdOzG/r4vPDg4eFWxaxGZ\nDIXqMpa5HOZq4GmcrSBjcoJ156+6kslt+a5NRERmvlg6Hb+hv+8bG6LR/9HlLjLdKVSXuaBlJYAf\nA5vI4jrzSCZYdyeT2/NenIiIzFjxdDrx+4H+yzdEo/8VtKx0sesRmSyFatl36+J3gS1kEaytdDp+\nRVfntXuTyVfyXZuIiMw8sXQ6cdNA/5UPDg5+LfOqqci0Z9i2Xm0RR8A0a4FP42wF2THe+HqXy3dZ\nU/N7Gj2eBXkvTkREZoShdHr4ur6+7zw2FP1y0LKSxa5HZKooVMtrZIL1v+L0sd453vg6l6vi001N\n72j2eFvzXZuIiExvkXQqek1v73c2Dg9/LbP9UGTGUKiW1wmYpglcBswji2BdZRieTzU1XbLQW7Ei\n78WJiMi0NJBKWT/t2fvdl+LxrwctK17sekSmmkK1jChgmnU4wboF2DXeeA+4Pjmn6aKlPt+ReS9O\nRESmlZ5ksu8nPXu/tz2R+GbQsmLFrkckHxSqZVSZYP0ZnGA97oq1AaxrnHPu4ZWVq/Ndm4iITA9d\nyWT3j/Z2/6gzmbw8aFnDxa5HJF8UqmVMAdOsxwnWTWSxYg3wgdmzTz+2qnptXgsTEZGStyuR2POD\n7u7/7Uunvp3pNCUyYylUy7gCptmAE6znkGWwfmdDw+qTq2vONYwxb0AXEZEZals8vuMHe7u/N5hO\n/0Ar1FIOFKolK5kV60/itNvLqj/1m+rqjzqztvZCl2GoH7qISBl5MRbb8uO93VcO2/ZP1OVDyoVC\ntWQtYJo1wDrAD2zNZs7ZteaKN9bVvdVtGO68FiciIiXh8Wj02at7e66w4Vr1oZZyolAtOQmYpg/4\nEHAcTrAe9z+gk6qrD7m0vuHtPperOt/1iYhIcaRt274zYj1288DA94DrdPW4lBuFaslZwDS9wHuB\nU3GC9bj/cB5aUTHrg7Mb32W63Y35rk9ERAoraduJ6/r6Hno4Ovh94I9By1K4kLKjUC0TEjBNN3Ap\ncC6wDRj3Jb7Zbnflx+fMuVS3L4qIzBxD6XTkpz177w/FYj8A7lSglnKlUC0TFjBNA7gIuBjYDox7\nGMVrGK6PN865cJnPd1S+6xMRkfzqS6W6ftjd9cDOZPIHQcu6v9j1iBSTQrVMSiZYnwm8B9gBZHVT\n1vtnzT71+KqqDrXcExGZnnYlEtu+2931oOW0zPtLsesRKTaFapkSAdNsxznA2AUMZjPnArNu1Tmm\neZHbMDx5LU5ERKbU88PDoR/t7X44CVcGLStc7HpESoFCtUyZgGmuAj4ODAM92cw5sap64TsaGt6h\nziAiIqXPtm374ejg47/u63sI+E7QsnYUuyaRUqFQLVMqYJqLgE8BVcDubOYsczqDvLPO7Z6T1+JE\nRGTC4rY9fH1f3wMPRwc3AN8PWlZvsWsSKSUK1TLlAqY5G/gYsAjn9sVx/yOrc7kqPtI4502LKir8\n+a5PRERy059Kdf14b/dD2xKJIPDToGUNFbsmkVKjUC15ETDNKuCfgBNwWu6lspn3D7NmnXxiVfUZ\nLp1gFBEpCVvj8fAPurv/FrXTtwC/0y2JIiNTqJa8yfSyfgtwAc6KdTybeafV1Cx5c139JdpnLSJS\nPLZt249Gow9e09e7BfgVcJd6UIuMTqFa8irTcm8t8D6gG4hkM2+R11v3odmNl872eObnsTwRERlB\n3E4P39jff/uDg4O9wP8GLeuJYtckUuoUqqUgAqZ5BE5nkBhZdgbxGYb7I41zzj/M5zs2r8WJiMir\n+lOpzvV7u+/dmkh0Ad8LWtbLxa5JZDpQqJaCCZjmQpzOICawM9t5l9TXH7u2pvZ8t2G481aciIiw\nJR5/7ofdXX+L2nYYZ4U6q0UQEVGolgILmGY9ziUxq8jhAONxVVXz39Ew623VLld9PusTESlHKdtO\n3j8YueeG/v5O4G7gt0HLyuocjIg4FKql4AKm6QEuyrztBqLZzJvjdld9qLHxooXeihX5rE9EpJwM\npFJdv+jtuSMUiyWBnwMP6kCiSO4UqqVoAqZ5LPDPQBLnevOsvL2+4YSTa2rO1vXmIiKT82Is9uT6\nvd1/H7LtCM6FLto/LTJBCtVSVAHTnI9zUUwzWV4UA3CEr7Lp3bNmXVLvdjfnsz4RkZkoYduxOy3r\nllutgQjwAvBj3ZAoMjkK1VJ0AdOsxmm5txonWCeymVdlGJ4PzG48219ZeUIeyxMRmVH2JpM7ftbT\nc/OWRLwWuAu4TvunRSZPoVpKQsA0XcBZwDtx+llb2c49s7Z2+RvMuot0WYyIyOhs22bj8PDDP+vZ\n+1QCKoGrgYe0f1pkaihUS0kJmKYf+CjgxjnEmJX5Hk/tB2Y3vnmu17s0b8WJiExTw+n04B8H+v9w\n/+BgDGfh4n+DlrW12HWJzCQK1VJyAqY5B/ggsALYQZbbQQzgPQ2z2k+srj7DZRiuPJYoIjJtbInH\nn72qZ++93alUA3Af8JugZQ0VuSyRGUehWkpSpu3eucAlQF/mLStHVVbOvbRh1kUNbvfcfNUnIlLq\nYul09K6IdettltUNeICfAY9pu4dIfihUS0kLmOahwIeBBnLoDuI1DNd7GmadckxV1Wm6iVFEys22\nePy5q3p7/tyZTM4GtgLrg5aV9ZY6EcmdQrWUvIBp1gDvAk4BdgFZv2y5ylfZ/PaGhotmezzz81Wf\niEipiKXT0bsjkdtutQa24rQqvRW4Sd09RPJPoVqmhYBpGsBJwD/i7LHuzHauG4x3z5rVfnxV9em6\nMEZEZqpt8Xjo5709t+5JJutwLtVaH7SsjcWuS6RcKFTLtBIwzbnAh4ClwHYgle3clT7fnHc2zLpo\njsezMF/1iYgUWjydHronErntT9bAi8B84Fngp0HL6ilyaSJlRaFapp2AaXqBC4E3Ar1Af7ZzXWC8\no2HW6pOqq8/QqrWITHfb4vHnftHbc/uuZLIG8AK/Ae4LWlbWCw4iMjUUqmXaCpjmCpzWe7NxWu9l\n/U3k0IqK2e+eNeuNzR5va57KExHJm0gq1Xu7Zd0WHIxsAxbgXDX+Mx1GFCkehWqZ1gKmWQVchNN+\nrx9n5TprF9bVta2tqT27yuWqzUd9IiJTKWXbqaeGhx76VW/vQ0O2PRvw4axOB7U6LVJcCtUyIwRM\n8zDgAzin3XfgHNLJSp3LVfGeWbMCfl/libo0RkRK1a5E4uXf9PXe9lI8HsHZO/0icFXQsnYVuTQR\nQaFaZpCAaVYCFwBvACwgp0M6q3yVzZc0NJzf7PEszkd9IiITMZROW/dGInfcag08CzQBlcB1wL1B\ny8p6AUFE8kuhWmacgGkuxdlrPZccV63B2RJyek3t2ZXaEiIiRZS2bTsUi/3lmt6e4EA6Dc7q9Cac\nzh47i1udiBxMoVpmpIBpVgDn4+y3HgS6c5lf73L53j1r9ul+n09bQkSk4LqTye039Pfd+vTwcCfQ\ngnPN+I3AXVqdFilNCtUyowVMczHOXutDgN3AcC7zV1VWNl9Sry0hIlIYkVSq977ByN23WdZzgAnM\nAZ4EfhO0rKwvvRKRwlOolhkvYJoe4FTg7YAL56rzdC6PcXatuaKjtvbMOrd7Th5KFJEyF0+nhx4f\nGnrg+v6+x+O2beC0yesDrgaeDlqWvlmLlDiFaikbAdNsAN6CE7AHyPEgoxuMi+vrjz2puuZ0teAT\nkamQsu1UKDb82G/6+h7oTaWGcToYVQG3ALcFLWuouBWKSLYUqqXsZNrvvRdYyAS2hNS4XN5L6xvW\nHFVVdbLXMCryUaOIzHxb4vFnb+jvu3tTPN4HVOPsnQ4B1wYt65XiViciuVKolrKU2RJyGnApE9wS\n0uLx1LytvmHtCp/vOB1mFJFsdSeT2/800H/H40NDOwA3TlePYeCXwONBy8rp3yIRKQ0K1VLWAqY5\nC7gYJ2D3k+OWEHCuPL+kvuGMRRUVh091fSIycwykUt33D0buvd2yQplP7dvqcQ/wx6BlWcWrTkQm\nS6FahNdtCekEork+xglVVQvON+vOaPF6l0x1fSIyfQ2kUt0PDw7ef6s18GwabKABmAVsBK4LWtb2\n4lYoIlNBoVokI7MlZDXOlhATZ0tIPNfHWV1VfcjZprl2nte7bIpLFJFpZIQwXY2zOr0D+DXwnLp6\niMwcCtUiB8lcdx4A3oSz33EXkMr1cY6vqlpwjlm3doHXe9gUlygiJWwglereEB184JaBgWcyYboC\n54bXCPBb4DFd4CIy8yhUi4wiYJr1wHnA2UACp1NIzn9hjqmsmndenbl2gce7wjCMKa5SRErFCGHa\nBczD+fhm4B61yBOZuRSqRcYRMM0W4M3ASThXnndN5HGOrKxsOd+sW3uI1+tXuBaZOaxUau/D0cH7\nDwjTBs42j0rgPuDmoGX1FrNGEck/hWqRLAVMcynwNsAP9OLcdpazVb7K5vPr6k5d5PUe4VK6Fpm2\n9iaTrzwcHdxwp2WFDwjTTTh7p58GrtchRJHyoVAtkoOAaRrAKpzDjAtxgvWEwvWSioqG80zzxBW+\nymO9huGbwjJFJE9s22ZHMvH8vZHIhkej0W2ZTx8YpjcCNwGbdQhRpLwoVItMQMA0XUAbzrXni3B6\nXE/o5d06l6vigrq6Y46uqlpd63LPmsIyRWSKpGw7uSkef/p2a+CRcCzWnfm0wrSIvEqhWmQSMuH6\nCJwLZJYAA0zgAhkAFxhn15or1tTUrGnyeBZNYZkiMkHD6XRk4/Dw47cMDPy1K5Xc17/+4DD9B2CT\nwrRIeVOoFpkCmW0hh+OE62WABeyd6OMdU1k170yzds1ib8URugJdpPD6Uqndj0Wjj95mDTwTt+19\nLTX3heka9q9MK0yLCKBQLTKlMuF6JU64Xo4TrrvHnDSGBR6v+Ya6uhNW+nzHVrpcNVNUpoiMIGnb\niS3x+LMPDkb++vjQ0I4DvuRifzePZ1CYFpERKFSL5EEmXC/HacW3EogBe4D0RB7PA64za83lx1dX\nHzfP41lmqGuIyJTpS6X2PDU09MSfrYGn+9Pp2AFf8gAtmfePA39Ge6ZFZBQK1SJ5lAnXrcBZOFeg\ngxOuc77+fJ9FXm/dmbXmMYdXVh5T7XLVT75KkfKTWZV+5oHByBN/fe2qNIAPJ0yncPpM3xO0rN2F\nrlFEpheFapECCZhmI3AqcA7Oy8h7ca4tnhAXGGtrapeurq4+bqHXu0J7r0XG15dK7c6sSm88aFUa\noA6YBUSB24EHg5bVX/AiRWRaUqgWKbCAaVYBxwNvxNmnGcEJ2BP+y9ji8dScU2sedURl5bGm2904\nNZWKzAyxdDq6OR5/dkN08KkRVqUNYA7O4cOdwJ+AJ4OWdXDgFhEZk0K1SJEETNONczvjG3D2XSdw\ntoakxpo3nuOrqhasrq5etbTCd0SVy2VOvlKR6Sdp2/FtiXj4yejQxgcGI5uSrz/P4MPp5OHG6eRx\nO/B80LImdO5BREShWqTIMvuuFwJnAifjdBrow+l5PWEGsKa6evEJ1dWrWr0Vh/tcrupJFytSwlK2\nndqVTLz09NDwxnsj1vNR204eNMQAZgO1wBBwD7AhaFm7Cl2riMw8CtUiJSRgmrXAMcC5wHwgCXTi\nrGJPmAdcp9bULjmmqmrV4ooKv65Fl5nCtm27K5Xc+szw8MZ7I5HnelKp4RGGHbgq/TxwJ/BM0LIm\nfGBYRORgCtUiJSizer0YOAU4DfDiXIXeN9nH9hmG+/Sa2sOOqqpatdDrXe4xDO9kH1OkkNK2ne5K\nJbe9GIuFHxgcfO6VRMIaYdiBq9JR9q9Kq4uHiOSFQrVIicscbDwSp2vIEpw9151Moi3fPlWG4VlT\nXdO6qrJy+aKKiuVq0SelKmHbsR2JxEvh2PDzDw4Ovtg78oo0QBXOwUMXEALuAp7VqrSI5JtCtcg0\nkVm9ng+sAc7Aacs3hNM5ZFKHG/dpq6xsOa6qevnSiorljW73Al0yI8U0mE73bY3HX3h6eOj5R6LR\nLQnbHu0QYQVOkPbgnEW4D3hUq9IiUkgK1SLTUMA0K3A6hpwMHIezV3QQ6GGCtzYerNnjqT65uuaw\nFT7f8nle7zLtw5Z8s23b7kmldm6Kx1/461D0+Y3Dw3vGGO7BCdIVwDDwEPAYzo2HU/JDpohILhSq\nRaa5gGlW47TmOwVnm4iB0/u6l0n0vj6Q1zBca6qrFx/uq1y20OtdMsvtnqdVbJkKA6lU945EYtOL\nsdjmx4aiW0Y5aLiPC2efdA3OId7HgA3AC0HLmtRhXhGRyVKoFplBAqZpAocDa3FWssF5ObyfKQrY\nALPd7soTq6pbD/P5lizwepfWud1zpuqxZWaLptP9OxOJTS/FY5v/Go1u3plMjnerqAtoAEycV2Ge\nBh4EQkHLGspzuSIiWVOoFpmhAqbZALQBp+MccARni0gfU7QHe58Wj6fmuKqqxcsqfIvne72tdS5X\nsxayBWA4nY7sTia3bIrHNv9taGjzy/F4bxbTvEAjztYOGwgDDwMbg5Y1UqcPEZGiU6gWKQMB02wE\nlgOrgSNw9mAncQ45Tvl1zI1ud9VxVdWLWisqFrR4PPMbPe4FFYarcqqfR0pLyraTPanUzj3JxI4t\n8fgrzw4P79iaSPRnOb0KJ0gbOH3Z/5p5ezFoWYN5KllEZMooVIuUmYBpVgLLgKNxQnZt5kuTvsVx\nLIdWVMz2+yrnL3KC9oJZbvc8t2F48vV8kl+2bWOl091dyeSOVxKJV16IxXZsHB7aM8J14KMxgDpg\nXxvHXpz90U/jHDY8+DZEEZGSplAtUsYCpunCuSLdj9OqbxFO2BnCCTl5O/zlAdfhlZVNy32+BQu9\n3vlz3J55dW53ky6jKT0p205a6XR3TyrZ2ZVMdm6NJ3Y/NTy0Y4xe0aOpAmbhdO4A2IwTpEPArqBl\n6RuSiExbCtUi8qqAac7C2SZyDE4nkX1bNvKyF/tgBtBaUdGwtKKiaYHH2zTH42ma5XY31bndTV7D\nqMjncwukbdseTKd7elOpzq5kcs/OZKJzUzze+VIs1pOa2EFXH06I3vf/XQ/wBPAczmp03l4ZEREp\nNIVqERlRZhV7Ps5WkWNxVrPdONl3EKejSMFeol/k9dYtq/A1zfd6m5o9nqZ6t7ux1uVqqDSMOpdO\nRWbNtm17yLatSDrda6VSfX2pVG9XKtmzNR7vCsdiXTHbnswPTl6cTh1VOCF8EPgbsBFnVbpHq9Ei\nMlMpVItIVgKm6QUWAEuBo3Ba9nnYv13EwrmEo6DcYCz0eusWeL0NTR5P/Wy3p6HB7W4wXa76Gper\nodrlqncbhrvQdRWLbdvEbTs6mE73Wel0b38q1deTSvV2JpN9OxKJ3q2JeH98csF5HwOnX7SJE6Zt\nII6zJ/rvOCF6j0K0iJQLhWoRmZCAabpxQnYrzir2cpyX+m32r2YPkMd92dkwgHkeT22Lx2s2uN3V\npttVXetyVde63DVVLqO6ynBVV7pc1ZWGUe0zjBqvYVSV2sp3yraTMduOxuz04FDaHhxKpwcH0+lI\nJJ0etNKpwf5UerAnlYx0J5ODnclkNIfDgrnw4QToavb/f7wTeBZ4CXgF6NRthiJSrhSqRWTKBEyz\nDmfLyCE4l9AsZ/9WABvnpkeLPO/NngwDpyWg6Xb7qgzDW+lyeX2G4ak0XN4Kw/D6XIa3wjC8XsPw\nZN57vRhew8CwwcYm87+R3tuv/jph28m4bcdjaTs+bKfjMdtODKXT8aG0HY/a6fhgOh2PpNLxSDqV\nyFNIHksFzip0TeaPZN8tnaHM23Zgpy5fERHZT6FaRPImYJoGzrXSC4DFioa2SwAABUxJREFUOEF7\nKc62ERtnj3YMiOKsbJds2J6hPOwPzx6c8O7C+cFnC84K9BacVeg+beUQERmdQrWIFFTmAGQD0JR5\nW4KzhWQh+8O2C2fbyCBO4FbP4okzcLZuVOK8alDB/pXvGLAV2ARsAzpxtnDoshURkRwpVItIScis\nah8YthezP2xXsj8IunCC93DmLYZzQK6ceXECcyVOgIb9+54NnJ7juzJvW4E9OAF6QKvPIiJTQ6Fa\nREpaJmxX4ty815B5Pwdn73YL0IxzgC7N/iDpyvw6kXmLH/DxdNli4sZZVfYe8H7fxTj79qjvC82D\nOEF5J7AD5/r5Ppww3a/bCUVE8k+hWkSmvYBpVrA/dNfhdKjY9+t9b/U44dvH/gAOTig9+L2dGZPG\nCeEHvj/4H82DO4Uc/GsXTkA+8A32B+ORHs/A+QGgHycY73vrwdnvHMEJ0oM4oTk2wh+LiIgUkEK1\niJSVTL/tKpzDedWZjz3sXwnetzK8bw/yvi0V+/Yl79v3ve8fz5E+PvBzCZw+3tHM2xDOtpX4QW/7\nVtSHgMGgZZX7lhYRkWlFoVpEREREZJJcxS5ARERERGS6U6gWEREREZkkhWoRERERkUlSqBYRERER\nmSSFahERERGRSVKoFhERERGZJIVqEREREZFJUqgWmSDDMFKGYfz9gLfWPD/f6YZh9B/wfF8aZdzP\nDMN4yjCMpw3DuMEwjNp81iUiIiK6/EVkwgzDiNi2PWpgNQzDY9t2cgqf73TgMtu2LxhnXJ1t2wOZ\nj78DdNq2fflU1SEiIiKvp5VqkSlkGMb7DMO43jCMPwF3Go5vG4bxjGEYGw3DuDQz7nTDMO43DON3\nhmG8YBjG5YZhvMswjMcy45ZNtIYDArWBc832635yNgzjK4ZhXHbAr58xDKM18xY2DOMXB6x0V0+0\nFhERkXKhUC0ycVUHbMW46YDPrwHea9t2B3AxcDRwFHAm8G3DMOZlxh0FfAJoA94DLLdt+0Tgp8DH\nRnnONZmtHbcbhnHEaIUZhvFzYDewEvhBjr+vFcD/2bZ9JDAAfCTH+SIiImVHoVpk4oZs2z468/bm\nAz5/l23bPZmPTwF+Y9t2yrbtPcD9wAmZrz1u2/Yu27ZjwMvAnZnPbwRaR3i+J4HFtm0fhROU/zBa\nYbZtvx+YD4SAS3P8fW23bfvhzMfXZn4PIiIiMgaFapGpN3jAx8YY42IHfJw+4NdpwHPwYNu2B2zb\njmQ+vg3wGoYxZ7QHt207BVwHvGWELyd57d//ygOnHvxQoz2HiIiIOBSqRfLrAeBSwzDchmE0AacB\nj03kgQzDmJvZJ41hGCfi/P3de9AYwzCMQ/d9DLwRCI/wcFuAYzPjjgWWHPC1RYZhrMl8/A7goYnU\nKyIiUk4UqkXy6ybgaeAp4F7g32zb3j3Bx7oEeMYwjKeA7wNvtzPtewzDuM0wjPk4K+O/MAxjI842\nknnA10Z4rBuB2YZh/B34MPDCAV8LAe81DONpYDbw4wnWKyIiUjbUUk9EXpXptX2LbdurilyKiIjI\ntKKVahERERGRSdJKtYiIiIjIJGmlWkRERERkkhSqRUREREQmSaFaRERERGSSFKpFRERERCZJoVpE\nREREZJIUqkVEREREJkmhWkRERERkkhSqRUREREQmSaFaRERERGSSFKpFRERERCZJoVpEREREZJIU\nqkVEREREJkmhWkRERERkkhSqRUREREQmSaFaRERERGSSFKpFRERERCZJoVpEREREZJIUqkVERERE\nJkmhWkRERERkkhSqRUREREQmSaFaRERERGSSFKpFRERERCbp/wP7xWqJ7CuByAAAAABJRU5ErkJg\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111e46588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cc97898>"
      ]
     },
     "execution_count": 0,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10db18080>"
      ]
     },
     "execution_count": 0,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = 'From 5.6 up', 'From 5.5 up', 'From 5.4 up', 'From 5.3 up', 'From 5.2 up', 'From 5.1 up'\n",
    "sizes = [final_from_5_6_to_7_optimistic, \n",
    "         final_from_5_5_to_7_optimistic,\n",
    "         final_from_5_4_to_7_optimistic,\n",
    "         final_from_5_3_to_7_optimistic,\n",
    "         final_from_5_2_to_7_optimistic,\n",
    "         final_from_5_1_to_7_optimistic]\n",
    "explode = (0, 0, 0, 0.05, 0, 0)  \n",
    "\n",
    "fig1, ax1 = plt.subplots(figsize=(12,12))\n",
    "ax1.pie(sizes, explode=explode, labels=labels, autopct=make_autopct(sizes),\n",
    "        shadow=True, startangle=10)\n",
    "ax1.axis('equal') \n",
    "plt.title(\"Github repositories that work on both php5 and php7\")\n",
    "plt.figure(figsize=(10,10))\n",
    "fig1.savefig(\"data/php-github-versions/both.png\")\n",
    "plt.show() \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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N8gEvMtncGElvUjy5semYiy5ingcAAGUvI+muIF9I+Q6CykX5QMn1XkhQUl1L\n7vJl8XTTJN+ZAADAkBwp6eO+Q6ByUT7gQ5ukBalgaV3d5CzL9wEAUFneHOQLF/sOgcpE+UBJZbK5\nBZIujaUan29cfOalZma+MwEAgGH7SpAvTPcdApWH8oGSieZ5vFHS+ubjX3p2rC7NmuEAAFSmsZJu\nC/IF/oiIYaF8oCQy2VxM0vWS6jPzT5lRN27GUZ4jAQCAQ3OGpBt8h0BloXygVE6RtCTePHFLw+En\nXuA7DAAAGBEfC/KFWb5DoHJQPjDqMtncFEnXSlrdkrv8EkvUpX1nAgAAI6JR0q0Mv8JQUT4wqjLZ\nXFLhsrq7Gpecf2SiecJc35kAAMCIYvgVhozygdF2vqQ5yXEzu9Kzl57tOwwAABgVDL/CkFA+MGoy\n2dxcSZdIWtl0zIUXWiye8J0JAACMCoZfYUgoHxgVmWwurfAU7JbGxWctSjSNm+07EwAAGFUMv8IB\nUT4w4jLZnEl6maTx8aZxu9NzjmW4FQAAtYHhVxgU5QOjYbHCv36sbD72kvMskWR1KwAAagPDrzAo\nygdGVCaba1G4utXz6ewJc5Njpy30nQkAAJTUGZJe7zsEyhPlAyMmGm51jaSU1Tfsbpi3nIsJAgBQ\nm9qDfGGi7xAoP5QPjKQjJeUkrW4+7pKXxOpSzb4DAQAAL1olfcx3CJQfygdGRCaba5D0aknr6mcs\nmlo3cc4y35kAAIBXrwzyhVN8h0B5oXxgpFwqqVHxxPbGI8+6yMyYaAYAAD4b5Atc5wt7UT5wyDLZ\nXFbSmZJWNR994UnxVBNjPAEAgCQtlPR23yFQPigfOCSZbK5O4XCrzYkx05rqpy/g9CoAACh2U5Av\nTPcdAuWB8oFDdbakyZI2Ni0972yLxTm1CgAAijVIusV3CJQHygcOWiabmybpMkmrU7OPDpJjpi7w\nnQkAAJSly4J84TzfIeAf5QMHJZPNxSVdL6lTFutqmH/KuZ4jAQCA8vbpIF9I+Q4BvygfOFgnSzpc\n0vONR559TDzdPMl3IAAAUNbmSnqP7xDwi/KBYctkc2MlXS1pTSzTkkoHS17iOxMAAKgI7w7yhTm+\nQ8AfygcOxhUKXzudTUdfcLol6tK+AwEAgIpQL6nddwj4Q/nAsGSyucMknSRpTd2kwybUTZx9rO9M\nAACgorw0yBdO9B0CflA+MGTRJPNrJW2R1NN41NnnmsV4DQEAgOH6RJAvmO8QKD3eOGI4jpc0W9L6\nzBEnz0uRi19lAAAgAElEQVQ0jWfMJgAAOBg5SVf5DoHSo3xgSDLZXIPCXxJrLVEXz2SPP9t3JgAA\nUNFuZund2kP5wFCdLyktaUfjkWcfG6vPjPEdCAAAVLSZkt7qOwRKi/KBA8pkc1MknSdpjdU31KVm\nLDrFdyYAAFAV8kG+MNZ3CJQO5QODymRzJulKSbsldTUddc7xlqjLeI4FAACqQ6uk9/oOgdKhfOBA\nFklaImltLNOarp86j6XxAADASHpzkC/M8h0CpUH5wIAy2VydpFdI2iDJNS0592SLJ+o9xwIAANWl\nXtJHfIdAaVA+MJhTJE2QtDnRMqmpbtLcZb4DAQCAqnR1kC8c5TsERh/lA/3KZHONki6XtFaSGo88\n+1SLxRN+UwEAgCplkm7yHQKjj/KBgZyh8DRoZ3L8rLHJCbOW+g4EAACq2iWc/ah+lA/sJ5PNtUq6\nQNIaSWpcfObpZjFeKwAAYDRx9qMG8IYS/TlX4WtjT92UIyYlxkxd5DsQAACoCZz9qHKUD+wjk81N\nkHSWes96LDz9DDPzGwoAANQKzn5UOcoH+rpQUo+krvpp86ckWiZmfQcCAAA15ZIgX1jiOwRGB+UD\ne2WyuWmSlis665E54uTlfhMBAIAaxNmPKkb5QLFLJO2W1JOcOGd8onXyPN+BAABATbqYsx/VifIB\nSVImm5st6ThJz0lSw/xTTjYmewAAAD84+1GlKB9QJpszSVdI2iHJJcZMbUmOm77YcywAAFDbOPtR\nhSgfkKQjJC2S9LwkNS48/USu6wEAADwzSR/wHQIjizeYNS4663GJpK2SFG8a15CcEBztNxUAAICk\n8OwHK29WEcoH5kiaJ2mdJDUuOuN4i8UTfiMBAABICt+rvt13CIwcygcukLRTkmLppvq6SXOP85wH\nAACg2PVBvjDedwiMDMpHDctkczMkLVXvXI9FZy6zeLLebyoAAIB9pCW90XcIjAzKR207T9IuSc6S\nqUT91COO9x0IAACgH28O8gX+QFoFKB81KpPNTZJ0gqS1ktSw4LQllqjL+E0FAADQr0mSrvUdAoeO\n8lG7zpbUJalHkuqnL1jmNw4AAMCg/j7IF7gAcoWjfNSgTDY3VtJpiq5mnp5z7Ox4qnGC11AAAACD\nWyDpXN8hcGgoH7XpJdF/uyUpNfvonMcsAAAAQ/UO3wFwaCgfNSaTzTUrHHL1nCQlxk5vTbRMOtxv\nKgAAgCE5I8gXjvIdAgeP8lF7TpGUkLRHkhrmnXycmTF+EgAAVArOflQwykcNyWRz9ZLOV7TClSVT\niboJs5f6TQUAADAsVwb5wkTfIXBwKB+1ZYnCC/XskqSG+accaYlk2m8kAACAYUlKepXvEDg4lI8a\nkcnmTNIFkjb1bqufvpDldQEAQCV6HcvuVibKR+2YK2m6pM2SlAqWzoqnmyb5jQQAAHBQ5ko6w3cI\nDB/lo3acqWi4lSSl5xzDWQ8AAFDJbvAdAMNH+agB0UUFj5P0vCQlWiY3JVonz/ObCgAA4JBcHOQL\njOKoMJSP2nBS9N8eScocceJSsxjfewAAUMmYeF6BeANa5TLZXJ2kcyS90LutbuKcJf4SAQAAjBgm\nnlcYykf1O0pSRlKnJKVmLZkZq8+M8RsJAABgRMyRdJbvEBi6A5YPM+s2s4fM7I9m9gczO/EA9w/M\n7Oqif19vZp8ZwnHuj47zkJmtNrN7BrjfdWb2ePRx3YH2ezDM7BdmduwhZPyRmW0ysx+MRr6hipbX\nbZO0pXdbKljCRQUBAEA1eb3vABi6oZz52OmcW+KcO0rSeyTdfID7B5KuPsB99uOcWx4dZ4mk30j6\nTt/7mNlYSTdJyklaJukmMyvZX/GHkjHyMUmvKFWuQQSSZim6tofVZZLJMVMXeE0EAAAwsi4O8oXJ\nvkNgaIY77KpZ0kZJstDHzOxPZvaImb08uk+7pOXR2YG3R9umRmcDHjezfx3sAGbWJOklkvo7q3CO\npB875zY45zZK+rGkc/vZxwfM7IEo2xfNzKLtvzCzfzGz35nZ38xsebQ9bWZ3mdnDZvZNhVcBP9iM\ncs79VNLWwfZRIqdL2t37j8zhJy6weKLOYx4AAICRlpD0at8hMDRDKR/pqEg8JunLkv4p2n6ZpCUK\n5xScKeljZjZFUl7S/dEZgn+P7rtE0sslLZb0cjObMcjxLpX0U+fcln5umybp2aJ/r4y29fUZ59xx\nzrlFCovEBUW3JZxzyyS9TeFZFEl6o6QdzrkjJX1E0jGD5DtQxrKQyeYaJZ2oaHldSaqfNo8hVwAA\noBqVw4gTDMFwhl3NU3iW4fboTMLJkr7hnOt2zq2VdK/Ca0n056fOuc3OuU5Jf1E4FGggV0n6xgC3\n9beagetn2+lm9lsze0ThGYqFRbf1DpV6UOGwJEk6RdKdkuSce1jSw4PkO1DGcnGkpLikbklKjp3e\nGm8YM9jXHQAAoFLNC/KFo32HwIENa9iVc+43ksZLmqD+i8BAdhV93q3w9Nh+zGycwrkchQH2s1JS\n8VmT6ZJW99lHStJnJV3hnFss6UuSUv1k6ZujvxJzMBm9iyaanyVpc++2dPb4JdHoMwAAgGo07DnH\nKL1hlQ8zm6fwr+nrJd2ncAhV3MwmKDx78DuFcx2aDjLPSyX9IDpD0p//kXS2mY2JJpqfHW0r1ls0\n1plZo6QrhnDc+yRdI0lmtkjhWYODzVgOpig8q7Opd0PdxNlc2wMAAFSzK4N8gctIlLnhzPl4SNI3\nJV3nnOuW9F2Fw5P+KOlnkt7lnHsu2tYVLc379gH32r8r1Wc4k5kda2ZfliTn3AaFc04eiD4+HG3b\nyzm3SeHZjkcUTgh/YAjH/ZykRjN7WNK7FJaog8oY/ft+Sd+WdIaZrTSzc4aQYSQtUzTcSpLSc46Z\nHatLt5Q4AwAAQClNk3Sq7xAYnDk3pNFGqBCZbC4h6d8lbVd0YcHW0151Sd24GUd5DQYAADD6bu1o\nb3ut7xAYGKemqs8RkhoUFQ9L1ieSrVPm+40EAABQEpcH+UK97xAYGOWj+pyiogn+6TnHHca1PQAA\nQI1olXS+7xAYGOWjimSyuWaF1yh5oXdb/dQjFg78CAAAgKrDqldljPJRXY5SuBpZjyRZXTqZaJ10\nhN9IAAAAJXVBkC80+w6B/lE+qkR0bY+zJW3s3Zaee1zWYomkv1QAAAAll5J0me8Q6B/lo3pMU3jR\nxS29G+qnHM6QKwAAUIsYelWmKB/VY6mi4VaSZMlUItEyMesxDwAAgC+nBfkC1zgrQ5SPKhANuTpV\n4ZXnJUnpOccexpArAABQo5Ji1auyRPmoDjMljZW0o3dD/ZTDubYHAACoZRf7DoD9UT6qw75DruLJ\nOKtcAQCAGndekC8wCqTMUD4qXCabiym8sODeIVep2UfPtniSq3sCAIBa1izpNN8hsC/KR+WbqfBq\nnjt7N9RPPYIhVwAAAAy9KjuUj8q3REVDriQp0TqZVa4AAACki3wHwL4oHxUsWuVquaQNvdvqphw+\nKZZMNflLBQAAUDZmBPnC0b5D4EWUj8o2XdIYFa9yNW3+Yf7iAAAAlB2GXpURykdlWyzJFW9IjpvB\nkCsAAIAXUT7KCOWjQhUNudrYuy2WaqqPN7TO8JcKAACg7BwV5AuzfIdAiPJRuSZJmixpW++GVLBk\njlmM7ykAAMC+LvQdACHeqFauw9VnyFXdxDkMuQIAANjf2b4DIET5qFw5FZ31kKRE6yQmmwMAAOzv\n1CBfiPsOAcpHRcpkcylJR0ja1LuNJXYBAAAG1CzpON8hQPmoVHMVfu/2XlyQJXYBAAAGdabvAKB8\nVKpFkrqLN7DELgAAwKDO8B0AlI+KEy2xu0xFVzWPpRrrWGIXAABgUCcE+ULad4haR/moPJMkjZW0\ns3dD/fSFM1liFwAAYFD1Cq+RBo94w1p59l9id8IsLpwDAABwYAy98ozyUXn2X2K3eRLlAwAA4MCY\ndO4Z5aOC9LfEriXrE7FMy1R/qQAAACrGkiBfGOs7RC2jfFSW/ZfYnb5wusViXDQHAADgwGKSTvcd\nopZRPirLfkvs1k0IZnrKAgAAUImY9+ER5aOyLFHRkCtJSrROZr4HAADA0J3sO0Ato3xUiEw21yxp\nsqTtezfG4jGu7wEAADAsC4N8odF3iFpF+agcM1U010OS6qfNn2KxRNJTHgAAgEoUU3jBZnhA+agc\nh6tP+aibOIchVwAAAMN3vO8AtYryUTmOkrSleENyzBTKBwAAwPCd4DtAraJ8VIBMNpeRNEN9Li4Y\nbxjLSlcAAADDl/MdoFZRPirDTEku+pAkJScE4yyRTPmLBAAAULEmBPnCXN8hahHlozLM6buhbsLs\nKT6CAAAAVAnmfXhA+agMS9RnvkeidfJUT1kAAACqAeXDg4TvABhcJpurV3jmY3Xx9njjWM58jIIt\nD9yjbX/8v5JJyQmBxp//Nlmibu/tG378eW175Cea+fd37/fYnU/9rzbde5tcd5csnlDr6a9WetZR\n6tm1Q899/d1779e9db0aFpymsWe+Xlse/L62PfTfijdP0MTL3ieLJ9W58s/a8ddfa+wZrztgXuec\n1t71Xk287H3q3rZBL3zvX/be1rXpObWefK2aj7t4n8ds+OmX1PnMw+Hj9+xS947Nmvm2b6rz6Ye1\n4Wdf2nu/PetXasJF71Lm8BPknNOm++/Qjsd+KVlMTUvPV/OxF2nHE7/T7jWPq3X5NUP/IgMAUB6Y\ndO4B5aP8TZdk6rPMbjzTTPkYYV1b12nLg9/X1Nd8VrFkvV64p13bH71PjYvPlCTtWvO4enZtH/Dx\n8UyzJlz+ASWaxmn3Cx16/lsf0PQ3365YfUZTX/Xpvfdbc9tblTniREnStj/+j6a8+jPadP+d2vnU\nH5Seu0ybf3WXxl/87oEOs4+dK36vuomzFavP7HMc19OtlZ+9TpnD9/+9Wlxqtjz4fe1e+6QkKTXr\nyL2P7965Vau/+DqlZi+VJG1/5Cfq3vKCpr7u8zKLqXv7JklSeu5x2nT/nWo+/nLFmIIEAKgsRwb5\nQrqjvW2n7yC1hGFX5W+2wvKxV3LczDEWT9Z7ylPderrlunbL9XTLde1SvHGspPDN/MZffEWtp71q\nwIfWTZqrRNM4SVJy/Cy5rj1yXXv2uc+eDavUvWOz6qcvfHFjd7fcnl2yWELb//wzpeceq3hqaBde\n3f7nXyiT3X/Bjs6n/6hk6xQlWiYO+vgdf7lXDfNP3X/7X3+l1Jxj9haKrQ/9UC0nXSWz8FdGvKFV\nkmRmSs1crJ1PPDCkvAAAlJGkpGN8h6g1lI/yt0DSPn9ur5s4m/keoyDRNF7Nyy7Vqs+9Sis/8wpZ\nfUbp2UdLkrb+4QfKHJZTIiojB7Ljr79S3aQ5sj4XoN/+6H1qmLdcZmGfbF52mdbc8Q717Nis+mnz\ntf1PP1XT0rYhZ9616i+qm3TYftu3P3qfMvNPGfSxXZufV9fmtUrNOrLfxxeXkq6Nz2nHo/drzdfe\nprXfukl7Nqzae1vd5MO0a+Wfh5wZAIAyQvkoMcpHGctkcyYpK2lr8fZE62SGXI2C7s5t2vH4bzXt\nDbdq+ptvl9uzS9v+/HN1bV2vHY/9Sk3HXDik/ex+4Wltuvc2jT3nxv1u2/HofcosePFNfeOil2jq\nqz6l8Rf+g7Y8cI+ajrlIO1c8qBe++1Ft+OmX5FzPfvso1tO5TbH6zD7bXPce7Xzid2qYd/Kgj93+\n6H3KHHGSLBbfZ3vXtg3a80LH3uLVu09LJDXluk+q6ahztP6/b9l7WzzTqu5tGwY9FgAAZeoo3wFq\nDeWjvLVIykjaXbwx3jSO8jEKOjseUqJlkuKZFlk8oczhJ2jXqke1+/kV2rNptVZ94XVa+blXy+3Z\npVVf6H8yeNeWdXrhux/RuLa/V3LMvt+m3c+vkOvpVv3k/c9UdG1dr93PPa5M9nht/k0458PiSXV2\n/HHQzGax/QrKzhUPqm7SXMUbxgz62PDsSD9Drh67X5nDT5DFX5wSFm8ar8wRJ0mS0oefoN3Pd+y9\nzXXv3mdSPgAAFYTyUWKUj/LWb8mIp1soH6Mg0TxBu1f/VT17OuWcC+dNjJuhzNzjNOPGOzX9jV/R\n9Dd+RZas17QbvrTf43s6t+n5uz+o1lOvU2r6gv1u3/6X+/qdXyFJm+6/U63Lr5UkuT27JTPJTK5r\n1+CZx05X16bn+hznXjX0GXK15cHva8uD39/77z3rV6qnc5vqp80bUs5M9nh1Ph0WoV3PPqLk2Gl7\nb+vasErJCbMGzQkAQJlaGOQLLMBUQpSP8ta70tVeybHTWy2RTHvKU9Xqpx6hzBEnac1tb9Oar7xZ\nck5NR5076GN2PP5bbbr/TknSlj/8QF2b1mjzr+/S6q++Rau/+pa9q0JJ4RmFhgX7z8PoXW2qblJ4\nodXGI8/Wmltv1O61Tyo9e/ChqOm5x6rzmUf2/rtnT6c6Ox7au5pWr64NKxVPN+/99/ZHw4LSO/dk\n7/02r1X31hdUP3PRPttbjr9CO/76a62+9c3aeO/XNO68t+y9rfOZR5See9ygOQEAKFP1ko7wHaKW\nmHPOdwYMIJPN3ajwB2L93m3zls9vXHj6y/ylQjnp2rZB63/wCU268p8Hvd/zd39IEy79R1k8Oej9\nhqt7+0at+/7HNOnKj47ofgEAKKFrOtrbvu47RK3gNFOZKppsvq14e6Jl0mQ/iVCOEo1j1XjUOerZ\ntWO/iefFJl5x06gcv2vLCxpz+mtHZd8AAIyKWOeWePrpjnjDk5sS6ael+M5AGvpKkzg0lI/y1Syp\nSdLG4o3xhtbxfuKgXDXMX+7t2PVTDvd2bAAABuPcnh7Fnt4YTzy5wxJPJ1JT162y5LYpZj3TJBWv\nM7/FV8ZaRPkoX1PU56rmkhRLNVE+AAAAijj33NZY4omtsbqO3fHMc/F4ZnMmntkzxmIaJ2lcdLeB\nFuxZOMB2jALKR/mapr4LAphZrD4ztKvcAQAAVBnntu6KxZ7YZHVPdcZTqxTPbEjFG3a2xpJqUjhi\n5GAEi7+2uOGR6x7ZfuC74lBRPsrXPEk7ijckx05vtVic7xkAAKhqzu3pMevYFEuu2B6rf6Y7nnkh\nGW/Y1hxP9TRJmjTChzNJ8yX9foT3i37wRrYMRZPND1PfyeZjpzHkCgAAVBXn1myJJZ7cVjRkqiGe\n2dNqMY2VVKoRHwtF+SgJykd5yii8uvkzxRsTTRPG9X93AACA8rbPkKl00ZCphJoVLrTjE/M+SoTy\nUZ7Gq5/J5vHGMZz5AAAAZe3FIVNP9g6Zqos3bG8apSFTI2WB7wC1gvJRnsarz5XNJSmWbqZ8AACA\nsuG0ekss/uTWWP3Te+Jpb0OmRgJrx5cI5aM89XshwViqkfIBAABKzrktnRZ7cnOsbkW4ylTDxnIa\nMjUSZi7+2mJ75LpHnO8g1Y7yUZ4C9VnpKpZuTsUSdQ1+4gAAgFrg3O5us6c3xZJP7igaMtUcT/U0\nSkr5zjeK6hX+8XeN7yDVjvJRnmaq7zK742dx1gMAAIyYF4dMdXTF08/F4g2bG+LprtY+F+arJYEo\nH6OO8lFmMtlcQtIESc8Wb0+0TKrFXwIAAOAQObel0+JPbI4nn+qMhatMpeMNnS1VNGRqpMyS9Bvf\nIaod5aP8jJPkoo+94pmWVj9xAABAJQiHTD21KZZ8anss9UxPPF0zQ6ZGSuA7QC2gfJSffs9wxFKN\n/GUCAADIuR7JntsSiz/x4ipTDZsb4+mulhoeMjUSZvkOUAsoH+VnvKRY342x+kyLhywAAMCjaMjU\npnjyqV29Q6YSDZ2txpCp0RD4DlALKB/lZ5akXX03Wl2aXzAAAFSpPkOmXDzzQjLRsL05Vt/TqAGW\n4MeI48xHCVA+ys8s9VnpSpJiyRRnPgAAqHDO9chszRYLV5mKhkxtYchUeaB8lADlo4xksjmTNE3S\n+uLtsXRTvcUTdX5SAQCAg+I271S4ytSuWHqVxTMbUwyZKmuZxV9bPPGR6x553neQakb5KC8phRe5\n6SremGiZxFkPAADKlHO7uy321MZY4smdsdTK7njmhbqiIVNp3/kwLLMkUT5GEeWjvLRI6um7Md44\njr+OAADg2X5DpjLPJRKZLQ2xcMgUFwOuDoGkB3yHqGaUj/LSb8mIN7Ry5gMAgFLqHTJVt2JXLLVa\n8cxGVpmqDcz7GGWUj/LSov6W2U0380sOAIBREA6ZWrHREit2xFPPRqtM7WDIVO0KfAeodpSP8tLv\nVcxj9Q2c+QAA4BA41yPT6s2WeHJbdGG+RKKBIVPYD2c+Rhnlo7xMlrS778ZYfQNnPgAAGCq3cadi\nT26O1T+1K77vkKkWhaMMgIFM9B2g2lE+ystE9XeBwWR9o4csAACUtX6GTEWrTLkGMWQKB2eC7wBm\nNl3Sf0haoHA4/g8kvdM5t98fqPs8rkPSsc65dUM4xhGSvlm0aY6kDzjnPtnnfibpFknnK7wO3fXO\nuT8M/dnsj/JRXiZK6uy70eLJjIcsAACUhReHTD0RDpnKrA1Xmcp0tZoxZAojyuvrKXqz/x1Jn3PO\nXWxmcUlflPQRSe8cqeM45/4qaUl0zLikVZK+289dz5OUjT5ykj4X/fegUT7KRHSBwTGSnut7m8WT\nqdInAgDAA7dxp+JPbo7VPbUrnlpl8YaNqURmF0OmUCpNi7+2uP6R6x7ZbyRKibxEUqdz7quS5Jzr\nNrO3S3rKzG6S9DJJF0nKSJor6bvOuXcV78DM/knSOufcLdG/PyJprXPuUwMc8wxJTzrnnu7ntosl\n3e6cc5L+n5m1mtkU59yag32ClI/y0aDw+7HPdT6svqHOYrG4n0gAAIwO5zq7zDo2WfLJHfHUsz3x\nzLp6hkyhTIxXeCbAh4WSHize4JzbYmbPSDos2rRE0lKFQ/X/amafds49W/SQWxWePbnFzGKSrpS0\nbJBjXinpGwPcNk1S8b5XRtsoH1WgWf1dYDDTyi9gAEDFCodMrdpsySe3xuqe7opn1iYSDVsaY+mu\nFoZMoUxNkL/yYZLcAbb/1Dm3WZLM7C8KV+jaWxCccx1mtt7MlkqaJOl/nXPr+z2YWZ3CMynvGSRP\nX/3lGzLKR/no91RyPN1E+QAAVAa3cYfiT27pHTKVaNiYjjfsarU4Q6ZQUXyW4j9Lurx4g5k1S5oh\n6UlJx2jfxYm61f/7+S9Lul7hSqpfGeR450n6g3Nu7QC3r4yO3Wu6pNWD7O+AKB/lo1H9tMtYqpHy\nAQAoK71DpmLJJ3bGUit74pl1xatMsUgKKp3P8vFTSe1m9krn3O3RZPB/k3Sbc25HOB99SL4r6cOS\nkpKuHuR+V2ngIVeS9D1JN5rZXQonmm8+lPkeEuWjnKTV39XN6xv4JQ4A8MK5bmcWrTJV90xXPPNc\nItGwtSGWZpUpVLUxvg7snHNmdqmkz5rZ+xW+N/yhpH8c5n52m9nPJW1yznX3dx8zy0g6S9INfba/\nIdrH56Njny/pCYVL7b5qeM9of5SP8tHvnA+rS3PmAwAw+tyGHdEqU7vj6dWWyOwdMtUqqdV3PKCE\nvL7eo8njFw5w222Sbiv69wVFnwe9n0cTzY+X9NJBjrND0rh+tn++6HMn6c3DiH9AlI/y0SJpT9+N\nMcoHAGAEOdfZZbEVm2KJFTtiqZUunllXl2jc3hKrcxkxZAqQKrxsm9kChRcm/K5z7nHfefqifJSP\nFkldfTdaMkX5AAAMW/9DprY0xtLdrDIFDK6iy4dz7i8Kr1heligf5aNZ/Zz5sGQ95QMAMLhoyFS8\nbsWueHp1LJ7ZVLVDpnp29+ipm5+S63Jy3U7NxzVr0qWT9rvfuh+t08b7NkoxKdGU0LTXTFPd+DpJ\n0nPfek5b/7hVkjTxoolqyYULcT37+WfVubJTTUuaNPmKyZKk5//reaVmpNR8dPMBs+3ZtEerv7pa\ns94+SztW7NDqr764KNDESyaq+ZhwH1sf3qo1X18j9UhjThmjCRdM2Gc/q+9YrU2/3KQFX1ggSVr/\nk/WK1cc0Zrm3qQi1pqp+ZsoN5aN8NKm/8pGoo3wAACTtHTK1MZZcsTNW/2xPIrOuPt64o6aGTFnS\nFLw7UDwVl+tyWvHRFWpa3KTMYfs+/dSslObeNFex+pjW/2y9nvvWc5r5ppna+tBW7Xx6pw778GHh\n429eocYjG7VnXfi/4Ow/Z7XioyvUvaNbPbt7tHPFTk28eOKQsq3/0XqNOTUsCKlpKc394FxZ3LRn\n0x498f4n1LSkSbKwXMx+52wlxia04kMr1LS0SalpKUnSzqd2qnvHvvODxywfoxUfWUH5KB2WhR5F\nlI/y0Shpe9+NFkskPWQBAHgUDplaudniT26LpZ7piqfXFg+ZmnDgPVQvM1M8FZckue7w7Ed/l0Fr\nnN+49/PM3Iw2/3qzJKlzdacajmiQxU0WN6VmpLTtkW2qn14vt8fJ9Ti5LifFpOe/87wmXja04iFJ\nmx/crImXh/eP1b+4gKXb82LGnSt2qn5S/f9n777D2yoPtoHfz5FkyfKIM8hOHIYLpay0gGlpoQNo\noSTsWWZbSmlpSymlpePDLS2b0L60hb5d8LIKBQohQNgQSIII2TvKsGM7HvHSOhpnPN8fcgaJJcuJ\nj86RdP+uK1fAOpLuXE4s3XoWysamR2FG1I9AZGkEvkk+SFOi/al2TP7uZESWRHbeX/Eq8IzxQN2s\nwn9QSXRMu3Hkw0IsHw7gr6sXSJePvr1uVBR+j4iIiphEjyqUjSFX2ZainzI1XKQpsenWTUh1pjDq\nK6PgPzj7G/Leeb2oPCpdRnxTfdj+/HaM+eoYmCkTsXUx+Cb6MOL4EfCM8mDTrZtQ87kapDpSAIDy\n2twmIKS2p+Dyu6B4dpUOdZOK1n+0QuvWMPk7k9OjIL0aPKN2fa7oHulGfHMcQHp6VdX0Knhq9v7c\nsXxaOdT1LB95MvgcO9pnfGPrDGVI7+O813H1QlFc+Y9DRETDbfcpUy5fs3T5u8pcFaU1ZWq4CEXg\nkBJCx6QAACAASURBVNsOgREzsPWBrUi0JOCb7Bvw2r4FfYhviePAWw4EAFQdUYX45jg2/24zXNWu\ndHHpf6Wd8I0JO+/XdH8TJl41EZ2zO5FoTqDyU5UY9cVRGTPpfTrcVR9/W+U/2I+62+uQ2JZA699a\nUXlk5QCv9Glar4bwojAO/PmBA97urnYj2ZYc8DYadpx1YiGWD2fwY4AzPgAAwsXvERFRAdk5Zcq9\nKeryNulKeSenTFnEVeFCxWEViK6MDlg+oquj2P7idhx4y4EfG5EYO3Msxs5MT49qfqgZ3nHej90v\nvCSM8gPLYSZNJFuTmPr9qdh8+2bUfLbmY9OpdifKBExt4Jdy30QfFK+CZGsSnlEeaD27lnjqvTo8\nIz1INCWQ6khhw80bAKQX1m+4eQM+cfcnAKSnbillAz83DTuWDwvxja0zlCPDZyGC066IiBxLoltV\nlI0hpawx5SrfJjhlynp6WIdwCbgqXDBTJqJrohhzxt47B8eb4mh9uBXTfjIN7updL6XSlDBUA+5K\nNxLNifSoxjW71odIXaL79W7U3lCLZEdy13oSmb4NXgzIO967c9E6kJ6G5RnlgXAJpLpSSLYn4Rnj\ngcvvQrIjidT2FNwj3QgFQpj83cnwTfLhsP85bOf911y7ZmfxAIBkexL+Og6Q5QnLh4X4xtYZMk8o\nFSwfRER2kzKuCWVzX3rKVAunTNlID+lo+VsLpCkBCYw4fgSqj0lP0e94rgPlB5ajeno12p9qh5k0\n0fznZgCAZ7QHtTfUQuoSW27fAgBQfMrOtRg7dL/ZjZoT0yMcvik+QALBXwVRdVQVXBWZZ0IrXgVl\nY8uQ7EjCO86L2IYYul7qSj+2Aky8fOLOaVkTL5uIxnsbIU2JkV8YuXOnq2zUjSrGnp374nfaLywf\nFhLpU9PJTv66+sMA3ASgZc/bxsz82U2Kx1uR/1RERKWnf8pUn3Bvirm8TbrL3+Fx+SOVSrlRLcRA\neyoR7RJeHEa8MY5x5+197sj+iDfF0TW3C1OunTKsj0sZ9a28ciX3NbYIP1V3howfpXDaFRGRNaTs\nUhXXppDi3ZJy+dqEq6LX7/KnaoQLIwHwjQcNWfVnqqFH9WF/XCNiYNy5w1toKCuOfFiIb2ydIfP3\ngQvOiYj2y64pU5v6p0x1e10VajWnTJEVRp2ceUesfVV5ROXgF9FwYvmwEN/YOoMbAx6RBEAIbrVL\nRJQDKQ0p0BwSnk1Rlzd9MJ+rIlLVP2WKu0wRUa5YPizE8uEMA5YP4S5zCcEpxkREe5KyK6a4NoWV\nsi1JV3mbstuUKe4yRUT7Sxz5yJGulVeuNOwOUoxYPpxh4PLh8fL7Q0QlTUpV6z+YL9G/y5TXVREf\noZTJCgDcjIOIrOIGwPJhAb65dYYBvw9CcfM0ISIqCbumTG1MT5nyd3pcFZFKxWeMEALcX5SI8s0D\ngEfKW4Dlwxk4t5CISoaU22OKa2NIKWvSXOXbhKuij1OmiMhp+N7MIiwfzlAGwNzzizyDhYgKWXrK\n1KY+xbNFdflawClTRFRAWD4swvLhDF4MUD7Sx7cSERWmm1J/bj6zasV4FYovllD0aEIx4j1KJCZE\nKAZhxoUiVSFMFYqMCyHjQiAhhEwoikgKgaQQSCpCaIoQmoDQBNyagEeH8BiKdJsKXFKBS7qEgAuA\nSwjhEpyuSkTDgeXDIiwfzjDgyAfAoQ8iKlz3eX960MGRXzedMWJTbcaL5B6/7ydTSsQgdBVCj0lh\nRIUwVAgjBmHEhDB2lJ2YEGYcQqpCmHGhpEuPEEgoYoDiIxRdSf8yhFAMRSiGItLFRwiXVIQbCtxC\nYfEhKiIsHxZh+XCGDCMf+Q9CRDScvlfWMPWR8C3NJ1e3TMnH8ylCoApwV0G6IQb4ITrMZWd3mpQy\nBqGrUuiqEEYUuxcfxVQhzJgQppoe5ZGqUMydoz3p35FUhEiJdAHSFEXRFCF0gXTx6S8/piLcUoFL\nKrsVH+7LTjTc+G/KIiwfzuDGAC+FktOuiKjQCZe42vP7SU9Gbmqrr9o+we44VvIIIWoAT42Qnozt\nRsKS4pOU0oxJoceE0GP9hUeFYqr9Iz4xIUx1t5GeOIRUFWHuKD3p4qOIlBAipQhoQqSLjyIUXQiX\noUAxFaGYinCZinBBwC0V4WLxoSKWsjtAsWL5cDJTH2AqFhFRYTGFR7nMdcf4R0M/Vk8YEfHbnacY\neYVQvAJloyDLdrWb3Y4oGGjEZ5hOMEhIaUYhtBiEoUqhx4RiRpGe4tZfhMy4ouwoPzvW98hEerob\nkv1T3VL9oz6aEEJTdk11M4VQDAUuMz3S45IK3FCESyiC72HISiwfFuE/XGcY8HMwabB8EFFx0BS/\nuMpzr2dO/Eedh5QneG5HEfEJofgA7xhIpKe6DfDSZcGrmSkl4oARhaLFpDBUkR7xiUIYcQhTFcKM\nCcXYvfSo/aUnLoRMKgLJ/iluSWVn6UkXn93W9piKcJli5zQ3V//6Htfw/4nIYXjGh0VYPpxh4B/L\npsHyQURFI6FUec7R7h7zbPQn2icqNS7mpP2iCIEKwFUB6RpwfQ9g2RofXUqpptf06FHsNtUtPdpj\nqlBMNT3dTcZ3lh9FJhSBBIRM7FZ8UooQqXThEf1T3Vw7NjYwd2xssGN9j+DGBnnEkQ+LsHw4x4Bz\nZqU0TSEU/qAhoqIQ8YxRvmHclXgl+VN1jNcYYXceon3hFkJUA+5qSHe+1/fs2NhgjzU+ZgzKjrU9\nZnxHCVIUmUgXIMSVnet75M71Penyo+j9u7oZCj424pPezQ2lurEBy4dFWD6cIfOPJykNCLB8EFHR\n2O4a7z9Luz3yirglXF1mVtudh6iQ5LyxATBs63p2SEhpqv2lp383Nz0mlP7RnvRIjwphqkIxd1vf\ng10bGygylV7jI1K7bWVt9I/8GApc6W2s07u6Ib2d9Y7iM7x/mOyMlVeu5OwTi7B8OEOW8mGaAKeW\nElFxaXVPqToneWtotmiIVXgkTzsnKgA+IRTfUDc2GCaqKY30SI9i9I/26B+b6tZ/ho+623bWCSEQ\nF4pMCCH61/js2thAESIl4UO5K2R6XaohUGYI4TGAMmnJKiXageXDGQxkmnZlmppwwZvnPEREltvk\nqRtxYfyWnmfE7Uq5G+V25yEi5/IrwuUHXAdk6gX7WnzCGDPAV3uG+Cg0BJzO4ww6Mn0vTJ27LRBR\n0VpddsSoK2I3RFMG51cTkWOodgcoZiwfzqAj08iHwfJBRMVtkff4A74TvbZHN6HbnYWICEDM7gDF\njOXDGTRkLh/8NJCIit473pPH/yh8eadhymFeIktENGQc+bAQy4czZF7zYWgc+SCikvCS7/SJvwyf\n22ZKacFyVSKinHHkw0IsH86QcdoVOO2KiErIv30XTL4j9LVm9g8ishFHPizE8uEMSWQc+UixfBBR\nSfmb78qpD4S+0GR3DiIqWRz5sBDLhzMkkWFzOKlrXPNBRCVnlu97tY/0TW+0OwcRlaSo3QGKGcuH\nM2QpHxz5IKLSdKvvp9OeCx3aaHcOIio52+0OUMxYPpwhS/lIsnwQUcm60XvrtNfDUzkFi4jyieXD\nQiwfzpBxapWpceSDiErbNZ7baxeEx221OwcRlYwuuwMUM5YPZ8hYMKSWYPkgotImFFzmuWfKssjI\nFrujEFFJ4MiHhVg+nCHzbldanOWDiEqeKdziAtesCetjlW12ZyGiosfyYSGWD2fIWDCMWIg7LhAR\nAdAUr+tscf+YJtXXYXcWIipqLB8WYvlwhowjH0a0m+WDiKhfXKnwzJCzarbFyzgnm4iswvJhIZYP\nZ0ghw/fCiPXGpWkaec5DRORYYVeNd4Zxj78r6eq1OwsRFR0NDaE+u0MUM5YPB1CDARPp0Q/XQLdL\nPcWTNomIdtPtPsA/Q7vT05dSwnZnIaKiwlFVi7F8OEccGctHklOviIj20OaeVHlO8reIaoI/I4lo\nuLB8WIzlwzlUAO6BbpBagi+sREQD2OI5qPqC+C+1uI643VmIqChwvYfFWD6coxdA2UA3mKk4ywcR\nUQZryw4feZl6YyxpZN45kIgoRywfFmP5cI4eZCofSTWS5yxERAVlcdmxY74d/V6fZkKzOwsRFTSW\nD4uxfDhHFzKWjxhHPoiIBvGe9/Pjro9c1WWYkjsEEtG+YvmwGMuHc/Qgw4JzMx5h+SAiysGr3tMm\n3By+sM2U0rQ7CxEVpDa7AxQ7lg/niAIY8MXSjPOUcyKiXD3rO2fybaGvt0gp7Y5CRIVni90Bih3L\nh3NEAQz4SqlHe1k+iIiG4F++y6b+IfTFJrtzEFHB2Wx3gGLH8uEcUQBioBv0UHtY8iM8IqIh+aPv\n2tp/9B3baHcOIioYBoCtdocodiwfzpGxfMDQTaklQvmNQ0RU+G7z3TjtmdAnOQJCRLloRkNItztE\nsWP5cI5Y/+8DFhAzGevNYxYioqJxk/fXtXND01hAiGgwXO+RBywfDqEGAyaAMADPQLebiWhPfhMR\nERWP75b9rvb98HhOpyCibLjeIw9YPpwl4ynnhhriyAcR0b4SCq7w3D1lSWRUi91RiMixOPKRBywf\nztIDwDvQDUa0hyMfRET7wRRucZHrvglrY1Xb7M5CRI7EkY88YPlwlk5kKB96uJMjH0RE+0lTvK5z\nxP1jN6vlHXZnISLH4chHHrB8OEsrMqz50HtaOfJBRDQMEorffZa8r6Y1Xrbd7ixE5Cgc+cgDlg9n\n6UV6j+m9mIloSuopNc95iIiKUsRV451h3FO5PeHmBztEBAAxNIQ67Q5RClg+nKUHmc76AGAmVb5I\nEhENkx73AeUz9Du9vSmF5ygREadc5QnLh7P0Isv3xExGue6DiGgYtbsnVpyT/K2IaCJqdxYishXL\nR56wfDiIGgwkkD7pPMN2u2GWDyKiYdboOaj6/MSv9bgOTm0lKl1c75EnLB/O0wbAN9ANRrSnO89Z\niIhKwnrPYTWXqD9VkwaSdmchIlustTtAqWD5cJ5tAMoHukHrbeVCKCIiiywrmz7m6uj1Ic2AZncW\nIsq75XYHKBUsH87TggxnfWgdm7dLaZp5zkNEVDIWeD839nvRb3YZphxw50EiKkoSwEq7Q5QKlg/n\n6Ub6H8FepKEZZlLl1CsiIgu97j1lwk3hi9tNKflhD1Fp2IyGUMzuEKWC5cN5epChfACAqYZ4Ki8R\nkcX+6ztrUkNoRqspZcafx0RUNDjlKo9YPpwn63a7RrSb5YOIKA/+z3fplPtCX9lqdw4istwKuwOU\nEpYP54kA0AC4BrpR6+tg+SAiypM/+75d+9e++ia7cxCRpVg+8ojlw2HUYEACaAZQMdDt2vZGlg8i\nojy6w/ej2n/3HcECQlS8OO0qj1g+nGkjgMqBbtD72sLS0BJ5zkNEVNJ+7vtF7Uuhg1lAiIpPBDzd\nPK9YPpypEYA7041GPMLzPoiI8uz7Zb+pfTc8iWtAiIrLKjSEuLFEHrF8OFMHsu14Fevj1CsionwT\nCq7y3DHlo8joFrujENGw4ZSrPGP5cKZOZPne6JHtLB9ERDaQwi0udt87cXW0utXuLEQ0LLjYPM9Y\nPhxIDQZiSG+56xvodq2ntT2/iYiIaAddeJVzlVnjNql+/iwmKnwsH3nG8uFcW5Bhx6tUe7BDSpMn\n7xIR2SSp+N0z5f2jmuNersEjKlwSLB95x/LhXBsB+Ae6QWpJ3YyH2/Kch4iIdhNzVZXNMO+r7ky4\nu+3OQkT7ZDMaQhG7Q5Qalg/n2pbtRj3cxQWPREQ263ON8p1p3F3ek3T12Z2FiIZsgd0BShHLh3Nl\nXVSu925j+SAicoBO13j/WanblHBK8BNUosIy3+4ApYjlw7m6+n8f8HuUbAs25zELERFl0eyZVn1e\n8v8ZqiZUu7MQUc7etztAKWL5cCg1GNABtCDDug+9tzVkasloflMREVEmQc+hNRclbk4kdCTszkJE\ng+oFsMbuEKWI5cPZ1gGoznSjEe3h6AcRkYOs9Bw96kr1h2HNQMruLESU1UKebG4Plg9nCwJwZ7pR\nD3dy3QcRkcMEyk4Ye230mh7dhG53FiLKiFOubMLy4WzNSO9BPSBteyPLBxGRA73l/dL4G8OXdhqm\n5JlMRM7ExeY2Yflwtu0AUgA8A92Y3LZuGw8bJCJyptm+Myf+OnxOqyklp3YQOUsKwCK7Q5Qqlg8H\nU4MBE1nWfaQPG4y05zcVERHl6gnfhVPuCp3WzP5B5ChL0BCK2x2iVLF8ON9qABWZbtQjXVx0TkTk\nYH/1XT31z6ETm+zOkU/ffCGOsfdEcMRfPr4p409fS+CwP0Vx1INRnPOUir5E5lJmmBLT/xrFmU/s\n2r34Wy/EcfRD6fuf/7SKaCp9/wcCKRzxlyjOeFxFykh/7f2tOm58NbeNx6SU+PIjMYSTMmv+3c1r\n0vHpv0bh/m0Yz6zR9ro9nJSYNCuC619Ov8eNJCWOeSi689eYuyO4YW46358+TOFfS7lHQR5xypWN\nWD6cbyuyrfvo2lpSL2hERIXoXt/1tY/1HV0yP6+vOsaDuZftvVP8qQe7sep7FVhxXSU+MUrBHe8l\nMz7GHwMpfHLMx9+m3P81H5Z/txIrrqvE1BEK/vRh+g3735emsOK6Ckwfr+DVjTqklLhtXhK/Psmb\nU96XgzqOHudCtVdkzb+7qSMUPHx2OS49csCZ0fj1W0mcXOva+f9VXoFl363c+au2RuDcT6b3lPnm\ndA/+50OWjzxi+bARy4fztQAQ/b/2kti6slFyPJ+IyPF+5ftZ7QuhupIoICfVujGqfO+XrdMOdsOt\npL9+wmQXWiIDL1tsCZt4Kajj258u+9jXd5QDKSXimvzYC6NmAKoGeFwCj67QcMYhbowcIMNAHl+p\n4azDdm0umSn/7qbVKDhqnAvKAJct3magI2bitIMH3rAy2G2gMybxhanpcuL3CEyrUfBhq5FTXtpv\nLB82YvlwODUYUAG0IcNhg6baFzfjYa77ICIqAD/y/qb2rfDkrXbncIJ/LtNw+iEDvzm/YW4Cd5/i\nG/CN/dUvxDH+vijWdZv4QX26nNz02TKc8I8YtqsSJ05x4ZHlGr53XNned85gfrOBz0xwDX5hDkwp\n8ZPXErjnVF/Ga55cpeOiT3kgxK4/4LETXHivibsz50EQDaFOu0OUMpaPwrAKWQ4b1PvaN+cxCxER\n7YdveW6fEogcUNLr9X4/Lwm3AnxjgClLczZoGFsh8JmJA5eBf51Vjm03VuKTYxQ8tSq91uLyo8uw\n9NpKPHZuOWYtTOGHx5fhlY06zn9axY/nJmAOMkGgJy5R5c1tlGQwf1mk4Yw6N6aMyPwW69+rNFxy\nxMf/7GMrBLZFOJEhDzjqYTOWj8IQRIbtdgEg1bGJ5YOIqEBI4RaXuu+dtCJa02p3Fjs8siyFOUEd\nj59b/rFP/neYv9XA7PU6pv0hgoufieOtLToue+7jGxO5FIGLPuXBs2s/PlKwLWJi0TYDZx3mwe/m\nJfHU+eXwuoE3N2efzuRWMGhBydXCFh1/+jCFaX+I4KbXkvi/5Rp+/sauhe/L2w3oJvYqVwkdKM/4\nSk/D6A27A5S6jKdnk6O0IMui80Tzyq2VR39VF4qL308iogJgCI9yvjJr/EuxH7TVVcQm2J0nX+Zu\n1HHX/BTevcoPv2fgkYY7TvHhjlPSU5beadRx74IUHju3HFJKbOqVOGSUAiklXtyg47A9FqT/+q0k\nbvtSepF5XAeEABQBqFr2YnHoaBc290ocMir76MeOBe7XH595Stfj5+6aJf3wshQ+2mbgzlN2TcF6\ncpWGS47Y++V6Q7eBE6fyZdxiJoBX7Q5R6jjyURg6ASQADPjTTmpJ3Yj1lvQQPhFRoUkpPtdZYtaY\nraqv6OafX/Ksis/+I4b13SYmz4rgH0v637S/HEckJXHqoyqOeSiK785Jj2hsi5g443E120NCArjy\n+TiOfDCKIx+MoS1q4v+dvGs3q6Vt6dGN6f1rN7413YMjH4xhSZuBr2VYW7LD1+vceKdx1yhKpvzr\nugyM7l+IvqjVwORZEfxnjYZr5yTwqSzb8u7u6dUaLhlgutn8ZgOnHDQ8604oo8VoCHXZHaLUCW6U\nVBj8dfXXAJiOdBHZS/WxZ3/eV3vUV/KbioiI9tcIoyfxquvHsfE+bbTdWUpVW8TEFc/H8frlGY/V\nAgCc+YSK5y4qR5lreNaH7LC0zcCsD1J49JzyYX1c2stv0RC61e4QpY4jH4VjOYCMW2ck2zdw3QcR\nUQEKuUb5zjTuKe9OunrtzlKqJlQpuObTZTsPGcxkzqX+YS8eANClyp3TxchSc+0OQCwfhSRruUi2\nrm2TuhbPdg0RETlTl2usf6Z2uzuUUsJ2ZylVF37Ks/MckXw79WA3ptXwLZnFegAE7A5BLB+FpBvp\nfzgDj8lKKfVIV2M+AxER0fBpdU+pOjd5q4xpImZ3FqIi9BoaQgOfakl5xfJRINRgQAJYBGBkpmu0\n7mZOvSIiKmCbPHUjLozfkozr4Eg20fDilCuHYPkoLGsAZNwKI7F1ZTCPWYiIyAKry44YdUXshmjK\nQNLuLERFQoLlwzFYPgrLFgCi/9de9N7WkBEPd+Q3EhERDbdF3uMPuCZ6bZ9uQh/8aiIaxDI0hPj+\nyCFYPgqIGgxEAWwFUJnpGq27ZV3+EhERkVXe9Z487gfhKzoNU2Y/npuIBvOK3QFoF5aPwvMRgBGZ\nbkw2r2L5ICIqEq/4vjbxF+Hz20weykW0P1g+HITlo/CsR4ZpVwCQ3Lau3UzFQ3nMQ0REFnrKd97k\n20OnN7N/EO2TPgAL7Q5Bu7B8FJ4mpBdOZfzeab3b1ucvDhERWe3vviumPhA6qcnuHEQF6A00hDh1\n0UFYPgqMGgykAKxFli13U9vWc+oVEVGRmeW7rvaRvumNducgKjAv2h2APo7lozAtAFCR6cZ449Im\nqWuJPOYhIqI8uNX302nPhQ5ttDsHUYFIAnjB7hD0cSwfhSn7tCrTMPVQB8/8ICIqQjd6b532engq\np2ARDe5VNIS4DtZhWD4KkBoM9CC95W51pmuSHRs59YqIqEhd47m9dkF43Fa7cxA53NN2B6C9sXwU\nrveRZcvd+ObFG6VpcoEVEVExEgou89wzZVlkZIvdUYgcKgFgtt0haG8sH4VrDbJsuSuTsZQR6dqc\nxzxERJRHpnCLC1yzJqyPVbbZnYXIgV5BQyhidwjaG8tH4WoD0APAn+mCVMemtfmLQ0RE+aYpXtfZ\n4v4xTaqvw+4sRA7DKVcOxfJRoNRgQAKYD2BUxms2BtZy6hURUXGLKxWeGXJWzbZ4WZfdWYgcIg5u\nsetYLB+FbQWyTL0y4+GEHu7cmMc8RERkg7CrxjvDuMfflXT12p2FyAFeQkMoZncIGhjLR2FrRHpB\nVVmmC1Jt61fmLQ0REdmm232Af4Z2p6cvpYTtzkJkM065cjCWjwKmBgMGgACA0Rmv2fjhBmnqWv5S\nERGRXdrckyrPSf4WUU1E7c5CZJMYgJfsDkGZsXwUviUAPJlulKm4pve188wPIqISscVzUPUF8V9q\ncR1xu7MQ2WAOGkKq3SEoM5aPwhcEoANwZ7og0bKGU6+IiErI2rLDR16m3hhLGkjanYUozzjlyuFY\nPgqcGgwkkZ56NSbTNfFNizaZeooLr4iISsjismPHfDv6vT7NBKfeUqmIAnjZ7hCUHctHcfgAWRad\nwzRMrWvrqvzFISIiJ3jP+/lx10eu6jJMyW3XqRQ8h4ZQwu4QlB3LR3HYgEF2vUo0Ll2evzhEROQU\nr3pPm3Bz+MI2U0rT7ixEFvu73QFocCwfRUANBjSkDxzMOPUq2bq2zUhEt+cvFREROcWzvnMm3xb6\neouU0u4oRFZZj4bQe3aHoMGxfBSPD5Fl1ysA0Do2r8hTFiIicph/+S6b+ofQF5vszkFkEY56FAiW\nj+KxGUAIQHmmC9TgwuVSmhx2JyIqUX/0XVv7975jG+3OQTTMNACP2B2CcsPyUST6Dxx8C1mmXumh\njoge6tyQv1REROQ0v/PdOO0/fYc32p2DaBi9gIYQp5YXCJaP4rIYg3xPE03LF+cpCxEROdRPfb+a\nNjd0IKdgUbHglKsCwvJRXLYBaAFQnemC+MbARjMV78tfJCIicqLvlt1W+154wla7cxDtpyYAr9sd\ngnLH8lFE1GBAAngDQE2261LtQY5+EBGVOqHgSs9dU5ZERrXYHYVoP/wTDSGuZy0gLB/FZ8d5Hhm/\nt7F17y/lwnMiIjKFW1zkum/Cmmj1NruzEO0DA8A/7Q5BQ8PyUWTUYKAP6QKSceG5EemK6X3t6/KX\nioiInEpTvK5zlVljN6vlHXZnIRqiV9EQ4shdgWH5KE5vIsuWuwCQaFz6UZ6yEBGRwyUUv3umvH9k\na7yMOwZRIfmb3QFo6Fg+itNapM/88Ge6IL558RYzGevJXyQiInKyqKu67EzjvsrOhJuvDVQI2gHM\nsTsEDR3LRxHqP/PjVWSZegUAyTYuPCciol163aPLZ+h3enuTSsjuLESDeBgNId3uEDR0LB/FK9D/\ne8bvsbruvaXSNI085SEiogLQ4Z5YcXbqdyKiiajdWYgyMAD81e4QtG9YPoqUGgz0IH3o4AGZrjFi\nvXG9d9ua/KUiIqJC0OSZVn1+4te6qkO1OwvRAF5AQ6jR7hC0b1g+ittbAHzZLlCDCxfmKQsRERWQ\n9Z7Dai5RfxpPGkjanYVoD/fbHYD2HctHcdsAoAdARaYLkq1r2/RoT1P+IhERUaFYXjZ99FXR60Oa\ngZTdWYj6fYSG0Pt2h6B9x/JRxPoXns8FMDrbdYktixfkJxERERWahd7Pjb0u+q1uw5RcI0hOwFGP\nAsfyUfwW9f+eeeH5hoUbzESsK095iIiowLzh/cqEn4QvaTelNO3OQiWtFcB/7A5B+4flo8j1n3j+\nIYCx2a5LNK/i2g8iIsroed/MSbeGZraaUkq7s1DJ+jMaQprdIWj/sHyUhrcBeLNdEFvz9nJTJxUL\nzAAAIABJREFUS8bylIeIiArQo75LptwbOqXZ7hxUkqIAHrI7BO0/lo/SEATQBqA60wVSTxmp9uCH\n+YtERESF6C++b019qO+ERrtzUMn5BxpCvXaHoP3H8lEC1GDABPA8gJHZroutfnuRNA0OZxIRUVZ3\n+n447cm+IxrtzkElQwcwy+4QNDxYPkrHMqSHLMszXWDEeuNaV9Oy/EUiIqJCdYvvF9PmhA5utDsH\nlYSn0BDaancIGh4sHyVCDQZSAGYjy4nnABBbM2+h5GJCIiLKwfXe26a9E57EN4VktbvtDkDDh+Wj\ntCwEYADwZLpA697aq/e1r8tfJCIiKmRXe+6YsigyhovQySqvoSG0wu4QNHxYPkqIGgxEAbwGYFzW\n6zYs4MmhRESUEync4hL3PZNWRUe02p2FitJddgeg4cXyUXreAeBClu99smX1Nj3UGcxbIiIiKmi6\n8CrnKfeN2xjzt9udhYrKe2gIvWV3CBpeLB8lRg0GtiM9/SrroYOxdfPeyUsgIiIqCknF7z4L949q\njns77c5CRePXdgcQQkwWQrwghAgKITYJIf4ohCjL4X6NQogxOT7HoUKIZbv9CgshbhjgusOEEAuF\nEEkhxE378ufJMU/O2fcFy0dpeg2AL9sFyZY12/RQx4Y85SEioiIQc1WVzTDvq+5IeLrtzkIF7y00\nhN61M4AQQgB4DsDzUso6AJ8AUAng98P5PFLK9VLKY6SUxwD4DAAVwH8HuLQHwA8B3Ducz59vLB+l\nqQnABgCjs10UW8vRDyIiGpo+1yjfDOOu8p6kq8/uLFTQbB/1APBlAAkp5b8AQEppAPgxgG8KIfxC\niKuEEM8JIeb2j4zstSuXEOI2IcSPdvv/3wshfpjlOb8CYJOUsmnPG6SUnVLKRQCynskmhHhQCPGR\nEGK1EOI3u329UQjxGyHEEiHESiHEYf1fHy2EeE0IsVQI8VcAIsPjRnf77/OFEA/3//fDQoiHhBDv\nCSE2CCHOzJaP5aMEqcGABPAigKps1yVb17Zpfe3r85OKiIiKRadrvH9m6veucEpE7M5CBWkuGkIL\n7A4B4FMAFu/+BSllGMBWAIf0f+kYABcBOBLARUKIKXs8xj8AXAkAQggFwMUAHs/ynBcDeHI/c/9S\nSnksgKMAnCyEOGq327qklJ8G8CCAHVO3bgXwvpRyOtLHMkzdh+ecBuBkAF8H8JAQIuMMG5aP0rUG\nQBuAEdkuiq199x0e+0FEREPV4pladW6ywYhpImZ3Fio4/8/uAP0EgIHeBO3+9TellCEpZQLp91a1\nu18opWwE0C2EmA7gNABLpZQDTkvsX0syE8B/9jP3hUKIJQCWIl2gDt/ttuf6f1+MdGEAgJMAPNaf\n9yUAvfvwnE9LKU0pZRDAZgCHZbqQ5aNEqcGAgfRf7pHZrkttW9+uh3juBxERDd1GT13NxYmbkwkd\nCbuzUMF4EQ2hRXaH6LcawLG7f0EIUQ1gCoBN/V9K7nazAcA9wOP8HcBVAK4G8M8sz3c6gCVSyo59\nzAshxIFIj2h8RUp5FICX8PF1vjvy7pk1l0+ad79mz5GNPe+f8fFYPkrbcgDbMNjoxxqOfhAR0b5Z\n6Tl61JXqD8MpAym7s5DjSThn1AMA3gTgF0JcAQBCCBeA+wA8LKVUh/A4/wXwNQDHAXg1y3WXYP+n\nXFUDiAEICSHGIV1oBjMPwDcAQAhxOjJ/MN0hhPhk//Sxc/a47QIhhCKEOBjAQQAyTttn+ShhOY9+\ntG3o0Pva1+YnFRERFZtA2Qljr41e06Ob0O3OQo72XzSEltkdYgeZ/uT1HKTfWAeR3qwnAeAXQ3yc\nFIC3kZ6aZAx0jRDCD+BU7JoWtePr3xVCfLf/v8cLIVoA3AjgV0KIlv6RmN2faznS061WIz3KMj+H\niL8BcFL/VK3TkF7TMpCfA5gD4C2kp+7vbj2AdwG8AuC7/dPQBiT4iXZp89fVKwBuA1ABIOPOJGXj\n68aO+NzF16V3nSMiIhq6GcmXWv9Q9dgElyL44SftyQRwNBpCq+wOMtz6RwqWALigf01EUenf9WqO\nlPKZXK7nP/4SpwYDJnIZ/WgPduq921bnJxURERWjF71fn/Tr8DmtJj/5pL09XaTF43AAG5FemF50\nxWNfsHwQAKwA0AygJttF0RWvvSlNc8DhQiIiolw84btwyl2h05rZP2g3BoAGu0NYQUq5Rkp5kJTy\nJ3ZnsYqU8qpcRz0Alg/Cx0Y/spYPrbu5N9Wx6cP8pCIiomL1V9/VU/8cOnGvQ9SoZD2BhhDPFSsR\nLB+0w0rkMPoRWfrSPKlr8fxEIiKiYnWv7/rax/qOZgGhOIBf2R2C8oflgwDkPvphxsOJRPPKd/OT\nioiIitmvfD+rfSFUxwJS2u5DQyjT7kpUhFg+aHerADRhkMXnkeVzF5lJtSc/kYiIqJj9yPub2rfC\nk/nmszRtA3Cn3SEov1g+aKf+0Y9nMMihgzB0U90YeCMvoYiIqOh9y3P7lEDkgGa7c1De/RwNoZjd\nISi/WD5oT6sArAMwNttF6rr31hrRHn5SRURE+00Kt7jUfe+kFdGaVruzUN4EADxmdwjKP5YP+hg1\nGJAAngLgxyB/P6Kr336NWyUSEdFwMIRHOV+ZNT4Yq9jz5GQqPhLADWgI8U1ECWL5oL2owcAWAO8D\nGJ/tumTL6la9d1vRHQhERET2SCk+11li1pitqq/T7ixkqSfREPrA7hBkD5YPyuR5pP9+eLJdFFn+\nKg8eJCKiYaMqVZ4Z8t7q9oSn2+4sZAkVwM/sDkH2YfmgAanBQBeAlwBMyHad3tPSl2oPLsxPKiIi\nKgUh1yjfmcY95d1JV6/dWWjY3Y2GUIvdIcg+LB+UzWtIH/5Tnu2i8OLZ88xUPJSfSEREVAq6XGP9\nM7Xb3aGUErY7Cw2bZgB32x2C7MXyQRmpwUAM6cXn47JdJ1NxTd2w4JX8pCIiolLR6p5SdW7yVhnT\nBLdjLQ4/Q0MobncIshfLBw1mIYAODHL2h7p+/no91LEhP5GIiKhUbPLUjbgwfksyroNvWgvbQjSE\nnrQ7BNmP5YOyUoMBDcDjAEYNdm14yUuvSNPQrE9FRESlZHXZEaOuiN0QTRlI2p2F9kl6a10isHxQ\nblYCWINBDh7Ue1r6ki2r5+UnEhERlZJF3uMPuCZ6bZ9uQrc7Cw3Zg2gIfWh3CHIGlg8aVP/Bg/9G\neuG5K9u14SVzFpiJaFdeghERUUl513vyuB+Er+g0TMkt3gtHC4Cf2x2CnIPlg3KiBgNNAN7AIFvv\nwtDN6Jp3X8pLKCIiKjmv+L428Rfh89tMKXk6dmH4HhpCEbtDkHOwfNBQvAAgAaAi20WJLYsbte6W\nlfmJREREpeYp33mTbw+d3sz+4XhPoyH0ot0hyFlYPihnajAQBfAoBln7AQDhxbNflYaWsD4VERGV\nor/7rpj6QOikJrtzUEY9AH5gdwhyHpYPGqpFyGHxuRHpisUbl72Vn0hERFSKZvmuq32479MsIM50\nExpCnXaHIOdh+aAhUYMBE+nRDx8Ad7Zro8vnfmTEepvzEoyIiEpSg++m2mf7Dmu0Owd9zJtoCP3L\n7hDkTCwfNGRqMLANwIsAJma9UEoZXvziC9I0uC0iERFZ5ie+/zfttVAtR0CcIQ7gO3aHIOdi+aB9\n9QqAPgDV2S7Stjd2J5pWvJmfSEREVKq+U/b72vnh8VvtzkG4FQ2hzXaHIOdi+aB9ogYDCQAPAxgN\nQGS7NrJ0TsCI9vAFgYiIrCMUXO65e8rSyKgWu6OUsCUAZtkdgpyN5YP2x0oAHwEYn/WqXdOvtLyk\nIiKikmQKt7jQdd+E9bHKNruzlCAdwLfREOIBkJQVywfts91OPlcAlGW7Vutq6kk0LuP0KyIispSm\neF1ni/vHNKrlHXZnKTGz0BBaancIcj6WD9ovajCwHcB/MNjicwCRpS8F9GgPFwQSEZGl4kqFZ4a8\nr2ZbvKzL7iwlYi2ABrtDUGFg+aDh8BaAjcjh8MHIRy+8IE2d06+IiMhSEVeNd4Zxj397wt1rd5Yi\nlwJwKRpCcbuDUGFg+aD9pgYDOoB/AvBisOlX3c298S3LXs9LMCIiKmnd7gP8M/U7PH0pJWR3liL2\nSzSEltkdggoHywcNi/6zP55CDtOvosteXqRHuhstD0VERCWvzT2p8pzkb0VUE1G7sxShNwHcZ3cI\nKiwsHzSc3gQQRA7Tr8IfvfCCNPSk9ZGIiKjUbfEcVH1B/JdaXIdqd5ZiIaXsAXAFGkLS7ixUWFg+\naNiowYCB9PSrMqSnYGWk97T0qRsWzslLMCIiKnlryw4fean6EzVpgB98DQMhxDVoCG2zOwcVHpYP\nGlZqMNAG4EnkMP0qtubtVamurZwnSkREebG07DNjvhn9fp9mgBuf7J9/oCH0nN0hqDCxfJAV3gGw\nDsC4wS4MLXz6ZTMR41aIRESUF/O9J467Pnp1l2FKHoa3D6SUQQA/sjsHFS6WDxp2/dOv/gXAg0Gm\nX8mUqoWXzHlGmiZfBIiIKC9e9Z464ebwhW2mlKbdWQqJlFITQlyKhlDM7ixUuFg+yBJqMNAO4Ank\nMP0q1ba+I9G45DXrUxEREaU96ztn8m9DZ7ZKyfXSuRJCNKAh9JHdOaiwsXyQld5F+tTT8YNdGFn6\n8odaX/s66yMRERGlPez7xpRZoS812Z2jQLwL4E67Q1DhY/kgy/RPv/oHAAmgYrDrQwufnm2mEmHL\ngxEREfV7wPed2r/1Hddodw4nk1L2AbgcDSFOU6P9xvJBllKDge0A/hfpxedZ/76Zal88uuK1ZyXH\nwImIKI9+7/vxtKf7DucISAZCiG+jIdRsdw4qDiwflA/LALwGYPJgFyaalm1Ntqx51/pIREREu9zs\n+1XtK6EDWUD2dg8aQs/aHYKKB8sHWU4NBiSA/wDYBuCAwa4PL3punh7pbrQ6FxER0e6uK7ut9r3w\nhK1253AKKeVbAG6xOwcVF5YPygs1GEgCeBDprXd9WS+WUoYWPvWMqSUi+chGREQEABAKrvTcNWVx\nZHSL3VHsZkrZLIS4CA0hboVPw4rlg/JGDQZaATyM9Pa7Itu1RqQrFl32ytM8/4OIiPLJFG5xkfve\niWui1dvszmIXU8qUIsS5aAjxEGAadiwflG/zASxALus/tq5siW9Z/Kr1kYiIiHbRhVc5V5k1drPq\nb7c7ix0UIb7H8zzIKiwflFf96z8eBdALYORg10eXvbIo1bV1ueXBiIiIdpNQ/O6Zctao1njZdruz\n5JNuyn+iIfQPu3NQ8WL5oLxTg4EYgL8AqAbgGez60IIn5xjxcEl++kRERPaJuqrLzjTuq+xMuHvs\nzpIPmiGXuhVxnd05qLixfJAt1GBgM4CnkMP0K6kl9dDCp/8t9ZRqfTIiIqJdet2jy2fod3p7k0rI\n7ixW0k3Z43GJmWgIpezOQsWN5YPs9DqAxcihgOi920KR5a8+LaXJ01WJiCivOtwTK85O/U5EUqIo\nd2GUUppuRZyPhlDJ7/JF1mP5INuowYAB4J8AegCMHuz6ROPSpvjmJXMtD0ZERLSHJs+06vOSv9ZV\nHUU3Cm9K/BwNobftzkGlgeWDbKUGA1EADwAo7/+VVXTZy4tS25uWWB6MiIhoDxs8h428WP1ZPKEj\nYXeW4aIZ8jnXb8P32J2DSgfLB9lODQaaAfwvgAkAXINdH5r/xMtGtLfZ8mBERER7WFF29OirY9eH\nNQMFvzYiZcjlHpe43O4cVFpYPsgpFgF4BcDUwS6Uhmb0zX/832ZSLYndR4iIyFkWej839rrot7p1\nE7rdWfZVypBtZS7xVTSEim4aGTkbywc5Qv/5H88AWI30CehZGdEeNfTBfx6XeipueTgiIqI9vOH9\nyoSbwhd3mFIW3EYomiFjisCX0RDqsDsLlR6WD3IMNRjQAPwVQATAqMGu17qaeiLLXnlSmkbBfvJE\nRESF63nfzEm3hma2mlJKu7PkyjClkTRwtvu34XV2Z6HSxPJBjqIGAyEAfwTgRw4L0BNNy5vVde8/\nX0A/94mIqIg86rtkyr2hUwpiHaKUEj1x+b3K28Nv2J2FShfLBzmOGgxsRXoEJKcF6LG1765ObF3B\nH6RERGSLv/i+NfWhvhMa7c4xmI6Y/MMB90T+1+4cVNpYPsiR1GBgEYAXkF6ALga7PvLRC/NTnVsW\nWx6MiIhoAHf6fjjtyb4jGu3OkUlbxHx5/L2RH9udg4jlg5zseQABAFNyubjv/cdf0kOdG62NRERE\nNLBbfL+YNid0cKPdOfa0PWYuj2k4y+4cRADLBznYbiegb0YOO2BBmrL3vUf/Y8TD7VZnIyIiGsj1\n3tumvROetNXuHDv0JWRrXMcXD/mfCDdnIUdg+SBHU4OBBIA/AQgDGDPY9TIZS4Xm//sJU0uELQ9H\nREQ0gKs9d0xZFBlj+yJ0VZPh7THz5Kn3R/rszkK0A8sHOZ4aDPQBuA/pxefVg12vh9oj4cBzj/EM\nECIisoMUbnGJ+55Jq6IjWu3KkDJkqjVsnlH3QHSTXRmIBsLyQQVBDQbaANwPYCQA32DXpzo2bg8v\nnv2YNPSU5eGIiIj2oAuvcp5y37iNMX/epwLrpjQa+8xv1D0QnZ/v5yYaDMsHFQw1GNgA4EGkt+B1\nD3Z9smXNtsiyV57gIYRERGSHpOJ3n4X7RzXHvZ35ek7DlObqTvO6TzwQfSZfz0k0FCwfVFDUYOBD\nAE8jvQXvoH9/E41Lm6Ir33hKStO0PBwREdEeYq6qshnmfdUdCU+31c9lSimXtJm3HP1Q9G9WPxfR\nvmL5oEL0MoA3kS4gg4pvDGyMrZ33rOQx6EREZIM+1yjfDOOu8p6ky7KF36aUckGzce9xf4vebdVz\nEA0Hlg8qOGowIAE8AWAlcjwDRF07b008+MFs9g8iIrJDp2u8f2bq965wSkSsePx5Tca/7p6f+pkV\nj000nFg+qCCpwYAG4CEALUivARlUdOXryxKNS+daGoyIiCiDFs/UqnOTDUZME7HhfNy3t+j/nbUw\nde3s9Ro/YSPHY/mggqUGAzGkd8DqBTA2l/tElswJJJpXv2NlLiIiokw2eupqLk7cnEzoSAzH473T\nqL9x/wepy2av17i5ChUElg8qaP1ngNwDII4cDiEEgPCHz76bbAsutDQYERFRBis9R4+6Uv1hOGVg\nv7aDX9Csvz9rYeq82es1dbiyEVmN5YMKnhoMdCNdQEwAo3K5T2jBk6+lOjYvsjQYERFRBoGyE8Ze\nG72mRzexTyMWH7Yai+58PzVj9notPNzZiKzE8kFFQQ0G2gHcDcADoCaX+/S9/9jLyfaNH1gajIiI\nKIO3vV8a/+PINzoMUw5pO/glbcby381Lnj57vWbZ7llEVmH5oKKhBgMtSI+A+AFU5XKf0PwnXk1u\nW88TYImIyBYver8+6Vfhc7eZOW7HuLLDWHvHe8nTZq/XLD83hMgKLB9UVNRgYDOA+5Ae/ajI5T6h\nhU+9kWhZM8/SYERERBk86btg8p2hrzYP1j+Wtxtr73w/ecp/1mh5OzGdaLixfFDRUYOB9QD+gPQC\n9PJc7hMOPPN2onnV25YGIyIiyuB/fVdN/XPoxKZMty9qNVbdNi952uMrtW35zEU03Fg+qCipwcBK\nAH8GMB6AN5f7hD98bl68afkblgYjIiLK4F7f9bWP9h3TuOfX52/Vl982LznjmTVaiw2xiIaV4InP\nVMz8dfVfAHANgFYAyVzuU/XpGSeUHzj9q5YGIyIiyuAPyYbGs0dsmAYAb23Rl/7hg9SFs9drG22O\nRTQsWD6o6PUXkG8DaANyO9Sp8pgzjis/6DNnCCEszUZERDSQvydvbtE6t7Q/+JF2+ez12jq78xAN\nF5YPKgn+uvrPArgWQAfSBxIOqvLor36m/ODjz2QBISKivJISBwSf/2DC6keumb1eW2V3HKLhxPJB\nJcNfV38cgO8D6ASQ02mwFYd/8Qj/oZ8/WyiKy9JwREREACBNc/yax98fu+HZH85ery23Ow7RcGP5\noJLir6v/NIAfYggFpPygYw+sPOq0i4XLXWZpOCIiKm2mrk9a8fe3R2+Z++PZ67XVdschsgLLB5Uc\nf139UQBuANANIJbLfbwTDxtfdexZ31A83kpLwxERUUkSRio1ecmfXh/ZMu8ns9dr6+3OQ2QVlg8q\nSf66+iMA3AigB0A0l/t4Rk2uGfG5iy5XvBWjLA1HREQlRdFi6tRFs+ZWdyy+efZ6bZPdeYisxPJB\nJctfV/9JADcB6AMQyeU+rsrR/povfONSl79mkqXhiIioJLij7cnawF3PVoS3/HL2eq3R7jxEVmP5\noJLmr6s/FOkCEgEQzuU+oszvGXnSFRe6R4w9xNJwRERU1PTw9lbM+/OCKaktv1q4oWuD3XmI8oHl\ng0qev67+EAA/AaAjvQ5kcIpLqfnC5TPLxkw92spsRERUnFKdWzb0Lfj3SzC0u9RgoMPuPET5wvJB\nBMBfVz8Z6QLiRXonrJyM+OyFX/FOPOzzlgUjIqKiE29aviTy0QtzAdynBgM9duchyieWD6J+/rr6\n0UgvQh8LoDXX+1Uec/px5Qd95mtCKIpl4YiIqOBJaZrq2vfej6199w0Af1SDgZym+xIVE5YPot34\n6+qrAFwP4BMAtgLI6R9I+UHHHlR55KkXCLfHZ2U+IiIqTNLQk5Elc95NbF3xOoC/qMFATmdNERUb\nlg+iPfjr6r0Avg3geABNAMxc7ucZUztqRP35lyi+ijFW5iMiosJipuLh0MKn39W6mmYD+D81GEjZ\nnYnILiwfRAPw19W7AVwC4FSkR0D0XO6nlFd5az5/2fnu6gO4ExYREcFQQ+197z32vhHtfgzAi2ow\nkNMHWkTFiuWDKAN/Xb0AcCaAC5BeA5LM6Y5CESM+d9Fp3vF1J1gYj4iIHC7VtXVNaP4TS6SeegjA\nAjUY4JsuKnksH0RZ9BeQLwD4FoAOADnP0a088tRjyg+pP1MoisuqfERE5DxSmmZ800fvR5fPXQvg\nf9RgYI3dmYicguWDKAf+uvqjAfwAQAxAb67389UePaXqmNMvFu4yv2XhiIjIMaSeUsNLXnoz2bxy\nE9Jb6bbYnYnISVg+iHLkr6ufBuBHAPwA2nK9n3vkpBEjPnvhJa7yqnFWZSMiIvsZaqitb/6T84xw\n53qkt9LlGR5Ee2D5IBoCf139SADfB3AwhrAVryjze2o+f+nZnpETD7cyHxER2SPV3bwi9P7jK6Se\nWgzgf7mVLtHAWD6Ihqh/K97LAZwEoBmAlut9q6Z//XjftOmncR0IEVFxkNI045uXvBld9nI7gDcA\nPKEGAzntkEhUilg+iPaBv65eAfBVABcD6ER6LUhOvJM/Nalq+hkXKGXlI6zKR0RE1pN6So0sffml\nxNYVKoBHAbzFHa2IsmP5INoP/rr6o5A+ET0JoDvX+yn+Eb6az118jnvEuE9YFo6IiCxjxPpa+xb8\n+y0j3BkG8IAaDKy3OxNRIWD5INpP/rr6yQBuAFANYNtQ7lt17Fkn+qYe+WUhFMWScERENKyklEi1\nbZgfCjwThGk0AvizGgx02Z2LqFCwfBANA39dfTWA6wB8EumF6DmfYOurPWZq5dGnna94fFVW5SMi\nov1naslYbNWbL8Y3f6QBeBfAY2owkNsBtEQEgOWDaNj46+o9SK8BORXpEZBErvd1VY2uGPHZi851\nV405yKp8RES07/Rw1+bQwqdeN6LdPgD/B+Btru8gGjqWD6Jh1H8i+mcBfBNAHENYBwIhRPXx553s\nnfTJk4QQwqKIREQ0BFKaZnLrqrfDHz0fBKAjvb5jg925iAoVyweRBfx19VOQXog+BkALcjwPBAB8\n06bXVh55yjncDYuIyF5mKt4XWTb32WTzSgVAE7i+g2i/sXwQWcRfV+9H+jyQEwG0Ir0jVk4UX5V3\nxAnnn+EZPeUoq/IREVFmWu+2NaGFT79mxsOjAbwD4HGu7yDafywfRBbqn4Z1MoArAEQA9A7p/p88\n6fCKT3zuTOEuK7ciHxERfZw0DT2+efGr0eVzGwF4ATwMYAHXdxAND5YPojzw19UfCOD7AGqQHgXJ\n+R+eq3ps5Yj6885yVx9wiFX5iIgIMGJ9LeHFs2dr2xvLkf5Z/aAaDAxpC3Uiyo7lgyhP/HX1lQCu\nBnAs0i9qqaHcv/KY048rP/DTpwrF5bEiHxFRqZKmaSSaV74dWfzickhzLIBXATzDaVZEw4/lgyiP\n/HX1CoBTAFwKoK//V848B0wbXX3szHNc/ppJVuQjIio1hhraFln84n9TnZtd/V/6K4DlnGZFZA2W\nDyIb+OvqD0H6UMId07ByPpQQikupPu6ck7yTDvsCT0YnIto30jSNZMvqd8MfvfABpDkJQBDAX7mb\nFZG1WD6IbOKvq68AcBGALwLoABAbyv29kz81sfKo085ylVeNtSAeEVHRMtRwW2TpnOdT7RsTAEYB\neB7AHDUY0G2ORlT0WD6IbNS/G9YxAK4B4Eb6ZPTcudxK9Wdmft476fCThKK4Br8DEVHpktI0ky1r\n54U/ev49mMZ4AAmkF5WvtTsbUalg+SByAH9d/UgAVwL4NNIFJDGU+5eNO/iAqulnzHRVjJxsRT4i\nokJnxMMdkaWv/DfVtj4CYDyARQAeVYOBIa29I6L9w/JB5BD9i9G/gPTBhCkAnUN6ACFE1TFnHOer\nPforwuUusyAiEVHBkaauJbaueiey9KUP+kc7DKTP7viQi8qJ8o/lg8hh/HX1E5CehnUQ0ovRtaHc\n310zvrrqMzPP8NSMP9SKfEREhULra1sXWTznFb2vTQMwAcBipEc7emyORlSyWD6IHMhfV+8G8DUA\n5yF9MvqQXyj9h37+MP+hnztd8fiqhzsfEZGTmal4X2zd+y/HgwuDSJcOAHgEwEKOdhDZi+WDyMH8\ndfUHAfgOgHFIj4IMaScWxVdZVnXsWV8uG3vQ8UIIYUVGIiKnkNI0U20bFoQ/mv2u1BKU4+YaAAAR\ndUlEQVRupIvHcgCPqMFAt83xiAgsH0SO56+r9wI4HcBZAFQA24f6GGUTDh1XedSpp7srR9UOdz4i\nIifQI92N0WWvvJTq3NyF9IJyBcD/AVigBgO5n6VERJZi+SAqEP66+qkAvglgGtI7YqWG/BifPOlw\n/yH1pyll5SOGOR4RkS1MPRWLb1r0WmzVmysA+JAe7VgF4F88MJDIeVg+iApI/1qQLwO4EOkpWO1D\nfQzh8bmrpn/9RO+kw04Uissz3BmJiPJBStPUOhsXh5e8+JaphlJIlw4dwBMA5nO0g8iZWD6ICpC/\nrn4cgMsAHIX0lrxDOh0dANw1E6qrpp9xqmfUpCOGOx8RkZX0UMeGyIrXX9fSU6xq+n+9B+BZnttB\n5GwsH0QFqv909OMAXAGgHOkF6UP+pM9Xe/TUisO/9DWXv3rC4FcTEdnHiIfb1XXvvRbfvHgLgDIA\nEwG0AXhYDQbW25uOiHLB8kFU4Px19VUAzgXwJQBh7MO2vBBCVB556nTfgZ/+suIuqxjmiERE+8XU\nEpH45iVvxla/uQLp9y3jAbgAPAPgLTUYGPIaOCKyB8sHUZHw19XXAbgSwGQAHQDiQ30MxVflrZp+\n+ufLxh9SLxQ314MQka2kqWvJ1nXvR5a9slCm4hqAKgBjACwB8KQaDHTam5CIhorlg/5/e3f2FNd5\n5nH8d5ZegUbsYAm0QEuyZMmObQnbiZNMnCnXVOZitprKzfx9c5GZi0nNJBdTju0qyzaWLdmSLSG1\nhARoYRGbeqO7zzIX7yHCDJIFNM32/VSdAho4vFZh6B/v+zwP9pGoIP1dSb+X6frySJK/0fs4LZ1N\nLa9/+MtY1/G3LNt26rxMAHihMAzD2pOJq/lv//Sx/3S2IMmVOWK1JDMs8DuGBQJ7E+ED2Ieio1i/\nk/ShpGWZnZANc9uPHGo+99tfxzr6zzOkEEAjeEszdwrff/S/1ancjCRLZshqXNKfJP1PKTey4V1d\nALsH4QPYx9LZ4cMyuyDnJc3J1IRsWLz7RGfTax/8JtbW92o91wcAK7yns3eLo599Upm8/iB6qF1S\nq8wRqz+UciOPdm51AOqF8AHsc1FXrHOS/k3mrPSUpMpm7pU4cuaVpld//YGb6TxRxyUCOMC8/JOx\n0uhnnyxPXJuMHmqS1C1pXGZmxy2OWAH7B+EDOCDS2eG4TEesf5Y5yvBYm2jNK0nJ428eazr18w+c\nprYjdVwigAPEy8/dL9269PHy+LcT0UNxmUGBTyX9u6TLpdzIhmvWAOxuhA/ggElnh9sk/aOk92V2\nQKYlbeoHQWpoeCg1eOF9t7l9oI5LBLCPeYX58dKtSx8v3786Hj1kyxSTB5L+S9JHpdzI8o4tEMC2\nInwAB1Q6O3xEJoS8JakkMyl9U5JHX+9PZ999323tztZrfQD2F78wP1HKffFJNCBwRY9MZ75PJP2x\nlBtZ2JHFAWgYwgdwwKWzwyck/YukszJtLDc+pDAS7zvV03T6F79w2145S3csAJKp6Sjf+eqz8tjX\nq0NHh6SMpO9kiskn1/9sAPsN4QPASlH6aUn/Kum4pAWZILIpsc6j7U1nfvXzWMfA68wJAQ6eMAxD\nb+HRjdLtzy9VHt58vOpdHTKDAu9I+k9JoxSTAwcL4QPAX6Wzw7ZMZ6zfyxR+PpFU2Oz93Naelqaz\nv3k33n38Lctx43VaJoBdKgx8r/Zk/Grxxqdf1OYmVx+hapfZ6bgrEzpuEjqAg4nwAeD/SWeHHUlv\ny+yEtEualakL2RQ7fSjV/NoHF+O9Q2/bsURznZYJYJcIapVCdSp3ufjDx5f94sLqIYAroeOepP+Q\ndIPQARxshA8AzxW1531Hpj1vRqYeJL/pGzqu3XTq/TPJgdcuOk1t/fVZJYCd4pfz05XJ618Wb3x6\nPfRrq9vitskMCByX9AeZ0LGp1t4A9hfCB4CfFIWQt2S6Y3XJ1IMsbuWeicOv9qWGhi/G2g+/ZtmO\nW4dlAmiAMAxDb2nm9vL9K1+V714eW/PuQ9E1IbPT8T2hA8BqhA8ALy06jnVe0j9J6pfZBZnbyj2d\nprZU+tVfvpnoO3nBjqda67BMANsgqC3nq9NjV0q3PrviLU49XfPuTknNkh7I7HRcJ3QAWA/hA8CG\nRYXppyX9g6STksoyc0I2/wPFsq30yfdOJY+ev+i2dB6vy0IBbEkYhvLzT+4uT1z/unT781sKg9X/\nj9uSumXmdIxK+qNM9ypCB4DnInwA2LSoRe+gpL+X9LqkqszE9C09+Yh3n+hMZd95O945cM5y4+mt\nrxTARgRetVibuXe1dOvSN7X5B2uPWLoywwFdSZcl/VnSfQrJAbwMwgeAukhnh/sl/Z1MgXooE0Kq\nW7qp49rpoXdOJvvP/szJdA1Zlm1vfaUAnsfLz92vTH7/dfH2pZvyvbV/REjJ1HwFkj6W9FEpNzLV\n8EUC2NMIHwDqKp0d7pL0vqS/lTmOsagtDCxc4bR0NqVPvnc+3jv4hpNs6d7q/QAYQbW8WJ29f618\n9/K12uz99Wq4WmW6V+Ul/bekL0q5kbU1HwDwUggfALZFOjuclPSGpN9JOiKpIlMXsuXz4InDr/al\njr/5Rqxj4JzlxlJbvR9w0IRetVybf/jD8vh315Ynrk2u8yGOTD1HXNJDmXqOb0u5ka3tZgI48Agf\nALbVqrqQDyQNRw/PSFre6r0tJ+akTr57Knn4zBtOpnOQY1nA84WB73lL07cqD25cK9396s46x6ok\nqUmmc5Uv6UtJn0q6SxE5gHohfABomHR2uF3Se5I+lNQicxxroR73ttOHUunBC6fjPYNnnEznCYII\nYGZy+IW5e9XHt6+Xcl/eCJYL6+1c2DK1HEmZ1tl/lnSZo1UAtgPhA0DDRUMLz8l0yTom81fWWZmj\nWVtmpzLJ1ODFU4newTNOS9egZdtOPe4L7AVhGIZ+cWGyNjt+s3z3qx+8pen8cz40LbPLEUr6RtJf\nJN1mlwPAdiJ8ANgx0ZGswzLHsf5G5shHWdIT1aE2RJLsZEsiNXjhVLx36Iyb6Rpkmjr2ozDwPT//\nZKw6PTZavnflll+YKz3nQ22ZwJGSaQaxsstRlx1IAPgphA8Au0I6OxyTdErSryS9KcmSeXJUt6Mf\ndrI5njpx4eRfg4jjxut1b6DRQq9Wri1N3a5O3blVHvvmTlgt1V7w4YdkulaFkq7K7HKMlnIjfiPW\nCgArCB8Adp10djgj6WeSfiuzMxKojseyJFOsnjx6fiDemx1y217JOsnmrnrdG9guQbW8VFt4NFp5\nODq6PP7thAL/RTuETZI6ZIL8mEzguE4tB4CdRPgAsGtFx7KO6NmxrLRMl6w5SV49v5Z7qC+THDg/\nFOsayLotXSfYFcFuEAa+5xfmx2sLj8YqD0fvVh/fmv6JT0nIHKtyZI4v/kXSlVJuZGa71woAL4Pw\nAWBPiI5lnZb0rqS3JbkyE9SfqM5BRI5rJwfODyTMrsiQk2rpqev9gecIwzAMyk8fe4uPx6rTd8eW\nJ65PhF71p45GuTLdquKSipI+kfS1pPFSboRf8gB2FcIHgD0nnR1OSDop6WJ0xSTVZILIi869b4rb\n2tuS6D97PNZx5Jjb0nXMTqTb6v01cHAFldK8tzQ9Vp29P7Y8ce1eUFp6mRk4cZkjVTGZ8D0i6XNJ\nuVJupL5hHADqiPABYE+L2vZmZULIsMyTMk+mRqTuQUSS3EO9mcThM0djHf3H3JbOo3ayqWM7vg72\nnzAMFVZKc15hbtJbeDSx/ODGPW/+weJLfnpKUrtMx6qKTOD4RtKdUm5ky0M7AaARCB8A9o0oiAxJ\nuiDpHZnz777MIMPntR7dMqe5I504fLo/1tE/4Ga6BuxUax+zRSBJoe9V/dLiQ+/p7GRtbvJB5eHo\ng6C0WN7ALVpkOlVZMt/HlyR9J+k+naoA7EWEDwD7UlQjMijpNZkg0h69qyjTwnfbnrhZsYSb6DvV\nF+vo73MyXX1OU1ufnWzqYur6/hdUivNeYX7SW3j8oDozNlmdys1oY79obZmw0SwTOCYlfSbpB0mP\nqOEAsNcRPgDse1HXrC6Z41kXJJ2VeZIXyvw1ubjda7BiCTfeM9QT6+jvc1t7okDS3M0Oyd4UBoEf\nVApPgtLStJefm/YWp6ar03ce+4X5je6wWTJBozV6PZR0S9IXkm6WciNz9V05AOwswgeAAycqWD8u\nE0KGZVqTSuZo1qLq3T3rOSwn5sR7h7pNIOnutVOtXXayudOOJZob8fXxcoLacj4o56f9wvy093R2\nujY3OV2dvfdEvveiGRsvkpTUJlMsvrK78bVM6Lhfyo3UbZ4NAOw2hA8AB1q0K9IpUytyUdIZmdal\nlsyOyJIaFEZW2MmWRKyzv8Nt7e10Wjo6nHRrp51s6bQT6XbLdtxGruWgCIPAD6ulhaBSnPfL+YWg\ntDRfW5yaqc2MTfvFhY3UaKwnJnOUKhW9vSjpiqTrku4x9A/AQUL4AIBV0tlhR2aq+nFJr8uEkZWB\ng2VJT1XHSesbYllWrO1wq9t+uNPNdHXa6dZDdiLdasfTGSuWzFhuvNmyrB1Z2l4Q+rVKUCnPB5XC\nQlB+Ou8XF+e9/JMFb+HxvLc0ld9gbcaLpCVlZL5vQpl5NNckXZWZND5L7QaAg4rwAQAvEIWRVyQN\nSDonE0ZWjkV5MmGkKPMkc0dZTsxxW3tanJbOjNPc1mqnMhkn2ZyxEk1RQElkLDeW2m+F72EQ+KFf\nLYa1SjGsVQpBtfQ0qBTzQbmQ98tLeb+4kPeXZpbqsIOxHkcmaKx8T1iSZiTdkDQq6YGkaTpTAYBB\n+ACADYiOaXXIhJFTMnUjfTLhw5aZLVKQCSSbrQnYVnayOW6nWlNOqiVlJ5tTViKdsuPplB1PpqxY\nMmXFEinLTaQsN56ybDcu23Yty3Zl245l2a7M5dSrWD4MAl+BVwl9rxJGL+XXKqFfq4RerRL6tWro\nVSthrVIJvUolqFUqQTlf9EtLRb8wVwzKTxs148KS2dVo0bNdDU/SHZkjVOOSJku5kUKD1gMAew7h\nAwC2KJov0isTQgZlpq8fkXmyKpm2voXo2pWBZLOsWMK13IRruXHHcuOu5cQchWEYhkGowA/CwA8U\n+qGCIAgDLwgD87gCPwwDL6jjUad6i0tq0rOWtyvrnJZ0W9JNmV2NKXY1AODlET4AYBtEc0Z6ZALJ\nCZlAMiDzRHblqsh02CppG+eO4IVsmd2MJpmhlEH0WFHSfUk5RUenZGo1qjuzTADYHwgfANAg6eyw\nKzNvpDO6jkbXKzIdtiQTSgI9CyUV7YJ6kj3Okek0lZJpc7vyb7yyM/VI0t3ompIJGnmKwgGg/ggf\nALDDojqSjEwg6ZAJI8dkjm61y4SPUObJsi3TPamy6mpoK+BdyJbZtYjLhIuEnv2brdThTMuEjEmZ\ngvAFSfOSljg2BQCNQ/gAgF0sqidpja5M9LJHUnd0dcg84Q7044Diyzzp9tZ5uRd+8DvRFY+uWPTS\n1o/rZiyZ/6YFSXMyweJB9Pp8dBXYxQCA3YHwAQB7WLRrktCzYJKR6cbUuubtlSutZwXUK78AVg8H\nWV2TEqy5wjVvr/7YtZ+73mN2dK3+2mvXsLoepiwz5HFRJkTMRW+vFO/nZVodLxMuAGBvIHwAwAGy\nKqyk1lxxmboTJ3rpyuw2rBxnWrkS0eMxPQsh/qqXz3s9kAkURf34yNh6V7WUG9lXXcEAAAbhAwAA\nAEBD7KsptwAAAAB2L8IHAAAAgIYgfAAAAABoCMIHAAAAgIYgfAAAAABoCMIHAAAAgIYgfAAAAABo\nCMIHAAAAgIYgfAAAAABoCMIHAAAAgIYgfAAAAABoCMIHAAAAgIYgfAAAAABoCMIHAAAAgIYgfAAA\nAABoCMIHAAAAgIYgfAAAAABoCMIHAAAAgIYgfAAAAABoCMIHAAAAgIYgfAAAAABoCMIHAAAAgIYg\nfAAAAABoCMIHAAAAgIYgfAAAAABoiP8DCc04ZcCQ6LIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112dc3940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112de8da0>"
      ]
     },
     "execution_count": 0,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = 'Both 7.0 and 7.1', 'Only 7.1 and up', 'Only 7.0'\n",
    "sizes = [final_both_7_0_and_7_1, \n",
    "         final_only_7_1,\n",
    "         final_stuck_on_7_0]\n",
    "explode = (0, 0, 0)  \n",
    "\n",
    "fig1, ax1 = plt.subplots(figsize=(12,12))\n",
    "ax1.pie(sizes, explode=explode, labels=labels, autopct=make_autopct(sizes),\n",
    "        shadow=True, startangle=10)\n",
    "ax1.axis('equal') \n",
    "plt.title(\"Github repositories that require php7 and up\")\n",
    "plt.figure(figsize=(10,10))\n",
    "fig1.savefig(\"data/php-github-versions/php7.png\")\n",
    "plt.show() \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qbt/rOwOACRNIuimVyV7tOwjgC4UCZeML7dUbzloS+9X02sgM31mAgVrs774j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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111faf940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113ccb710>"
      ]
     },
     "execution_count": 0,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = 'Only php5.6', 'php5.5<7', 'Any php5 version', 'php5.2<7', 'Only php5.3', 'Only php5.4', 'Only php5.5'\n",
    "sizes = [final_stuck_on_5_6,\n",
    "        final_stuck_on_5_from_5_5,\n",
    "        final_any_5_version,\n",
    "        final_stuck_on_5_from_5_2,\n",
    "        final_stuck_on_5_3,\n",
    "        final_stuck_on_5_4,\n",
    "        final_stuck_on_5_5]\n",
    "explode = (0, 0, 0, 0, 0, 0, 0)  \n",
    "\n",
    "fig1, ax1 = plt.subplots(figsize=(12,12))\n",
    "ax1.pie(sizes, explode=explode, labels=labels, autopct=make_autopct(sizes),\n",
    "        shadow=True, startangle=10)\n",
    "ax1.axis('equal') \n",
    "plt.title(\"Github repositories that are stuck on php5\")\n",
    "plt.figure(figsize=(10,10))\n",
    "fig1.savefig(\"data/php-github-versions/php5.png\")\n",
    "plt.show() \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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