notebooks/apa_basic_breakdowns.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime\n",
    "#from bokeh.models import HoverTool\n",
    "import seaborn as sns\n",
    "import matplotlib \n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "matplotlib.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "apa_df = pd.read_csv(r'/home/mayoubi/apatite_export_20191002.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 360 entries, 0 to 359\n",
      "Columns: 186 entries, name to vcs.vcs_name\n",
      "dtypes: float64(167), object(19)\n",
      "memory usage: 523.2+ KB\n"
     ]
    }
   ],
   "source": [
    "apa_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
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       "      <td>2019-10-01T21:05:32</td>\n",
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       "      <td>34.0</td>\n",
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       "      <td>git</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>django</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>server</td>\n",
       "      <td>69.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Other</td>\n",
       "      <td>100.0</td>\n",
       "      <td>36631.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>True</td>\n",
       "      <td>AGPL</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>7975.0</td>\n",
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       "      <td>752.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>organization</td>\n",
       "      <td>organization</td>\n",
       "      <td>3917.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>23.0</td>\n",
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       "      <td>0.1698</td>\n",
       "      <td>0.1557</td>\n",
       "      <td>0.1021</td>\n",
       "      <td>0.0968</td>\n",
       "      <td>2012-09-15T06:37:51</td>\n",
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       "    <tr>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>desktop</td>\n",
       "      <td>8.0</td>\n",
       "      <td>True</td>\n",
       "      <td>GNU General Public License v2.0</td>\n",
       "      <td>6.0</td>\n",
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       "      <td>128.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>True</td>\n",
       "      <td>GPL v2</td>\n",
       "      <td>GPL</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>638.0</td>\n",
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       "      <td>5815.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>511.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.9961</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2010-03-19T06:22:20</td>\n",
       "      <td>2018-08-02T02:17:33</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
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       "      <td>twisted</td>\n",
       "      <td>NaN</td>\n",
       "      <td>zope</td>\n",
       "      <td>NaN</td>\n",
       "      <td>py2app</td>\n",
       "      <td>server</td>\n",
       "      <td>198.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Other</td>\n",
       "      <td>18.0</td>\n",
       "      <td>61758.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other</td>\n",
       "      <td>Other</td>\n",
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       "      <td>27448.0</td>\n",
       "      <td>124420.0</td>\n",
       "      <td>8151.0</td>\n",
       "      <td>238.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
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       "      <td>8741.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.2333</td>\n",
       "      <td>0.2116</td>\n",
       "      <td>0.1679</td>\n",
       "      <td>0.1403</td>\n",
       "      <td>0.0469</td>\n",
       "      <td>2006-11-28T17:22:48</td>\n",
       "      <td>2019-06-25T10:51:59</td>\n",
       "      <td>34.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>44.0</td>\n",
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       "      <td>git</td>\n",
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       "    <tr>\n",
       "      <td>4</td>\n",
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       "      <td>3.6</td>\n",
       "      <td>asyncio</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>docker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>server</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>AGPL</td>\n",
       "      <td>AGPL</td>\n",
       "      <td>0.06</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2689.0</td>\n",
       "      <td>8070.0</td>\n",
       "      <td>883.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>11642.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>310.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10993.0</td>\n",
       "      <td>7519.0</td>\n",
       "      <td>839.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>208.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1588.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.5088</td>\n",
       "      <td>0.2311</td>\n",
       "      <td>0.1738</td>\n",
       "      <td>0.0573</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>2018-02-05T04:48:13</td>\n",
       "      <td>2019-09-21T01:07:41</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>git</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            name  arch.compat.min_py2  arch.compat.min_py3  \\\n",
       "0     archivebox                  NaN                  3.5   \n",
       "1  archivematica                  2.7                  NaN   \n",
       "2          canto                  2.7                  3.1   \n",
       "3         deluge                  2.7                  NaN   \n",
       "4        elixire                  NaN                  3.6   \n",
       "\n",
       "  arch.dep.concurrency arch.dep.gui_framework arch.dep.server_framework  \\\n",
       "0                  NaN                    NaN                       NaN   \n",
       "1                  NaN                    NaN                    django   \n",
       "2                  NaN                    NaN                       NaN   \n",
       "3              twisted                    NaN                      zope   \n",
       "4              asyncio                    NaN                       NaN   \n",
       "\n",
       "  arch.pkg.container arch.pkg.freezer arch.type  gh.forks gh.has_wiki  \\\n",
       "0             docker              NaN   desktop     306.0        True   \n",
       "1                NaN              NaN    server      69.0       False   \n",
       "2                NaN              NaN   desktop       8.0        True   \n",
       "3                NaN           py2app    server     198.0       False   \n",
       "4             docker              NaN    server       NaN         NaN   \n",
       "\n",
       "                        gh.license  gh.open_issues  gh.size  gh.stars  \\\n",
       "0                      MIT License            64.0   3841.0    5450.0   \n",
       "1                            Other           100.0  36631.0     179.0   \n",
       "2  GNU General Public License v2.0             6.0    768.0     128.0   \n",
       "3                            Other            18.0  61758.0     730.0   \n",
       "4                              NaN             NaN      NaN       NaN   \n",
       "\n",
       "   gh.watchers license.hereditary license.license license.license_group  \\\n",
       "0        106.0              False             MIT                   MIT   \n",
       "1         39.0               True            AGPL                  AGPL   \n",
       "2          6.0               True          GPL v2                   GPL   \n",
       "3         72.0                NaN           Other                 Other   \n",
       "4          NaN               True            AGPL                  AGPL   \n",
       "\n",
       "   sloc.RATIO.OTHER  sloc.RATIO.autoconf  sloc.RATIO.c  \\\n",
       "0              0.20                  NaN           NaN   \n",
       "1              0.69                  NaN           NaN   \n",
       "2              0.01                  NaN           NaN   \n",
       "3              0.14                  NaN           NaN   \n",
       "4              0.06                  NaN           NaN   \n",
       "\n",
       "   sloc.RATIO.coffeescript  sloc.RATIO.coq  sloc.RATIO.cpp  sloc.RATIO.css  \\\n",
       "0                      NaN             NaN             NaN             NaN   \n",
       "1                      NaN             NaN             NaN             NaN   \n",
       "2                      NaN             NaN             NaN             NaN   \n",
       "3                      NaN             NaN             NaN             NaN   \n",
       "4                      NaN             NaN             NaN             NaN   \n",
       "\n",
       "   sloc.RATIO.dockerfile  sloc.RATIO.go  sloc.RATIO.haskell  sloc.RATIO.html  \\\n",
       "0                    NaN            NaN                 NaN             0.16   \n",
       "1                    NaN            NaN                 NaN              NaN   \n",
       "2                    NaN            NaN                 NaN              NaN   \n",
       "3                    NaN            NaN                 NaN              NaN   \n",
       "4                    NaN            NaN                 NaN              NaN   \n",
       "\n",
       "   sloc.RATIO.java  sloc.RATIO.javascript  sloc.RATIO.jsx  sloc.RATIO.less  \\\n",
       "0              NaN                    NaN             NaN              NaN   \n",
       "1              NaN                    NaN             NaN              NaN   \n",
       "2              NaN                    NaN             NaN              NaN   \n",
       "3              NaN                   0.46             NaN              NaN   \n",
       "4              NaN                    NaN             NaN              NaN   \n",
       "\n",
       "   sloc.RATIO.lua  sloc.RATIO.markdown  sloc.RATIO.meson  \\\n",
       "0             NaN                  NaN               NaN   \n",
       "1             NaN                  NaN               NaN   \n",
       "2             NaN                  NaN               NaN   \n",
       "3             NaN                  NaN               NaN   \n",
       "4             NaN                  NaN               NaN   \n",
       "\n",
       "   sloc.RATIO.objectivec  sloc.RATIO.python  sloc.RATIO.qml  \\\n",
       "0                    NaN               0.64             NaN   \n",
       "1                    NaN               0.31             NaN   \n",
       "2                    NaN               0.99             NaN   \n",
       "3                    NaN               0.40             NaN   \n",
       "4                    NaN               0.94             NaN   \n",
       "\n",
       "   sloc.RATIO.restructuredtext  sloc.RATIO.rust  sloc.RATIO.sass  \\\n",
       "0                          NaN              NaN              NaN   \n",
       "1                          NaN              NaN              NaN   \n",
       "2                          NaN              NaN              NaN   \n",
       "3                          NaN              NaN              NaN   \n",
       "4                          NaN              NaN              NaN   \n",
       "\n",
       "   sloc.RATIO.sh  sloc.RATIO.sql  sloc.RATIO.systemverilog  sloc.RATIO.tex  \\\n",
       "0            NaN             NaN                       NaN             NaN   \n",
       "1            NaN             NaN                       NaN             NaN   \n",
       "2            NaN             NaN                       NaN             NaN   \n",
       "3            NaN             NaN                       NaN             NaN   \n",
       "4            NaN             NaN                       NaN             NaN   \n",
       "\n",
       "   sloc.RATIO.typescript  sloc.RATIO.vue  sloc.RATIO.xml  sloc.RATIO.xsl  \\\n",
       "0                    NaN             NaN             NaN             NaN   \n",
       "1                    NaN             NaN             NaN             NaN   \n",
       "2                    NaN             NaN             NaN             NaN   \n",
       "3                    NaN             NaN             NaN             NaN   \n",
       "4                    NaN             NaN             NaN             NaN   \n",
       "\n",
       "   sloc.RATIO.yaml  sloc.TOTAL_blanks  sloc.TOTAL_code  sloc.TOTAL_comments  \\\n",
       "0              NaN              512.0           3458.0                233.0   \n",
       "1              NaN            13746.0         277514.0               8613.0   \n",
       "2              NaN             1355.0           3822.0                638.0   \n",
       "3              NaN            27448.0         124420.0               8151.0   \n",
       "4              NaN             2689.0           8070.0                883.0   \n",
       "\n",
       "   sloc.TOTAL_dirs  sloc.TOTAL_files  sloc.TOTAL_lines  sloc.actionscript  \\\n",
       "0             87.0             156.0            4203.0                NaN   \n",
       "1            245.0            1128.0          299873.0                NaN   \n",
       "2             23.0              61.0            5815.0                NaN   \n",
       "3            238.0            2054.0          160019.0                NaN   \n",
       "4             42.0             157.0           11642.0                NaN   \n",
       "\n",
       "   sloc.asp  sloc.assembly  sloc.autoconf  sloc.automake  sloc.bash  \\\n",
       "0       NaN            NaN            NaN            NaN        NaN   \n",
       "1       NaN            NaN          119.0            NaN        NaN   \n",
       "2       NaN            NaN            NaN            NaN        NaN   \n",
       "3       NaN            NaN          141.0            NaN        NaN   \n",
       "4       NaN            NaN            NaN            NaN        NaN   \n",
       "\n",
       "   sloc.batch  sloc.c  sloc.c_code  sloc.c_comments  sloc.c_files  sloc.cabal  \\\n",
       "0         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "1         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "2         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "3         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "4         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "\n",
       "   sloc.cmake  sloc.coffeescript  sloc.coq  sloc.cpp  sloc.cpp_code  \\\n",
       "0         NaN                NaN       NaN       NaN            NaN   \n",
       "1         NaN                NaN       NaN       NaN            NaN   \n",
       "2         NaN                NaN       NaN       NaN            NaN   \n",
       "3         NaN                NaN       NaN       NaN            NaN   \n",
       "4         NaN                NaN       NaN       NaN            NaN   \n",
       "\n",
       "   sloc.cpp_comments  sloc.cpp_files  sloc.csharp  sloc.cshell  sloc.css  \\\n",
       "0                NaN             NaN          NaN          NaN       NaN   \n",
       "1                NaN             NaN          NaN          NaN    1411.0   \n",
       "2                NaN             NaN          NaN          NaN       NaN   \n",
       "3                NaN             NaN          NaN          NaN   13600.0   \n",
       "4                NaN             NaN          NaN          NaN       NaN   \n",
       "\n",
       "   sloc.d  sloc.dockerfile  sloc.dotnetresource  sloc.elisp  sloc.elixir  \\\n",
       "0     NaN             74.0                  NaN         NaN          NaN   \n",
       "1     NaN            243.0                  NaN         NaN          NaN   \n",
       "2     NaN              NaN                  NaN         NaN          NaN   \n",
       "3     NaN              NaN                  NaN         NaN          NaN   \n",
       "4     NaN              NaN                  NaN         NaN          NaN   \n",
       "\n",
       "   sloc.fish  sloc.forth  sloc.fortranlegacy  sloc.fortranmodern  sloc.glsl  \\\n",
       "0        NaN         NaN                 NaN                 NaN        NaN   \n",
       "1        NaN         NaN                 NaN                 NaN        NaN   \n",
       "2        NaN         NaN                 NaN                 NaN        NaN   \n",
       "3        NaN         NaN                 NaN                 NaN        NaN   \n",
       "4        NaN         NaN                 NaN                 NaN        NaN   \n",
       "\n",
       "   sloc.go  sloc.graphql  sloc.groovy  sloc.handlebars  sloc.happy  \\\n",
       "0      NaN           NaN          NaN              NaN         NaN   \n",
       "1      NaN           NaN          NaN              NaN         NaN   \n",
       "2      NaN           NaN          NaN              NaN         NaN   \n",
       "3      NaN           NaN          NaN              NaN         NaN   \n",
       "4      NaN           NaN          NaN              NaN         NaN   \n",
       "\n",
       "   sloc.haskell  sloc.hcl  sloc.html  sloc.java  sloc.javascript  sloc.jsx  \\\n",
       "0           NaN       NaN      674.0        NaN            168.0       NaN   \n",
       "1           NaN       NaN     9240.0        NaN          10009.0       NaN   \n",
       "2           NaN       NaN        NaN        NaN              NaN       NaN   \n",
       "3           NaN       NaN      209.0        NaN          73373.0       NaN   \n",
       "4           NaN       NaN        NaN        NaN              NaN       NaN   \n",
       "\n",
       "   sloc.less  sloc.llvm  sloc.lua  sloc.makefile  sloc.markdown  sloc.meson  \\\n",
       "0        NaN        NaN       NaN            NaN          314.0         NaN   \n",
       "1        NaN        NaN       NaN           92.0         2160.0         NaN   \n",
       "2        NaN        NaN       NaN            NaN            NaN         NaN   \n",
       "3        NaN        NaN       NaN            NaN         1658.0         NaN   \n",
       "4        NaN        NaN       NaN            NaN          310.0         NaN   \n",
       "\n",
       "   sloc.moduledef  sloc.msbuild  sloc.mustache  sloc.nix  sloc.objectivec  \\\n",
       "0             NaN           NaN            NaN       NaN              NaN   \n",
       "1             NaN           NaN            NaN       NaN              NaN   \n",
       "2             NaN           NaN            NaN       NaN              NaN   \n",
       "3             NaN           NaN            NaN       NaN              NaN   \n",
       "4             NaN           NaN            NaN       NaN              NaN   \n",
       "\n",
       "   sloc.objectivecpp  sloc.org  sloc.pascal  sloc.perl  sloc.php  sloc.prolog  \\\n",
       "0                NaN       NaN          NaN        NaN       NaN          NaN   \n",
       "1                NaN       NaN          NaN        NaN       NaN          NaN   \n",
       "2                NaN       NaN          NaN        NaN       NaN          NaN   \n",
       "3                NaN       NaN          NaN        NaN       NaN          NaN   \n",
       "4                NaN       NaN          NaN        NaN       NaN          NaN   \n",
       "\n",
       "   sloc.protobuf  sloc.python  sloc.python_code  sloc.python_comments  \\\n",
       "0            NaN       2690.0            2031.0                 188.0   \n",
       "1            NaN      92983.0           75579.0                7116.0   \n",
       "2            NaN       5767.0            3774.0                 638.0   \n",
       "3            NaN      63864.0           48382.0                4775.0   \n",
       "4            NaN      10993.0            7519.0                 839.0   \n",
       "\n",
       "   sloc.python_files  sloc.qml  sloc.r  sloc.rakefile  sloc.restructuredtext  \\\n",
       "0               11.0       NaN     NaN            NaN                    NaN   \n",
       "1              485.0       NaN     NaN            NaN                    NaN   \n",
       "2               29.0       NaN     NaN            NaN                    NaN   \n",
       "3              272.0       NaN     NaN            NaN                  295.0   \n",
       "4               98.0       NaN     NaN            NaN                    NaN   \n",
       "\n",
       "   sloc.rpmspecfile  sloc.ruby  sloc.rubyhtml  sloc.rust  sloc.sass  \\\n",
       "0               NaN        NaN            NaN        NaN        NaN   \n",
       "1               NaN        NaN            NaN        NaN        NaN   \n",
       "2               NaN        NaN            NaN        NaN        NaN   \n",
       "3               NaN        NaN            NaN        NaN        NaN   \n",
       "4               NaN        NaN            NaN        NaN        NaN   \n",
       "\n",
       "   sloc.scala  sloc.scheme  sloc.scons  sloc.sh  sloc.sql  sloc.srecode  \\\n",
       "0         NaN          NaN         NaN      NaN       NaN           NaN   \n",
       "1         NaN          NaN         NaN    133.0     970.0           NaN   \n",
       "2         NaN          NaN         NaN      NaN       NaN           NaN   \n",
       "3         NaN          NaN         NaN      NaN       NaN           NaN   \n",
       "4         NaN          NaN         NaN      NaN     208.0           NaN   \n",
       "\n",
       "   sloc.swift  sloc.swig  sloc.systemverilog  sloc.tcl  sloc.tex  sloc.toml  \\\n",
       "0         NaN        NaN                 NaN       NaN       NaN        NaN   \n",
       "1         NaN        NaN                 NaN       NaN       NaN        NaN   \n",
       "2         NaN        NaN                 NaN       NaN       NaN        NaN   \n",
       "3         NaN        NaN                 NaN       NaN       NaN        NaN   \n",
       "4         NaN        NaN                 NaN       NaN       NaN        NaN   \n",
       "\n",
       "   sloc.typescript  sloc.vala  sloc.vb6  sloc.vimscript  \\\n",
       "0              NaN        NaN       NaN             NaN   \n",
       "1              NaN        NaN       NaN             NaN   \n",
       "2              NaN        NaN       NaN             NaN   \n",
       "3              NaN        NaN       NaN             NaN   \n",
       "4              NaN        NaN       NaN             NaN   \n",
       "\n",
       "   sloc.visualstudioproject  sloc.visualstudiosolution  sloc.vue  sloc.xml  \\\n",
       "0                       NaN                        NaN       NaN     233.0   \n",
       "1                       NaN                        NaN       NaN    7975.0   \n",
       "2                       NaN                        NaN       NaN       NaN   \n",
       "3                       NaN                        NaN       NaN       NaN   \n",
       "4                       NaN                        NaN       NaN       NaN   \n",
       "\n",
       "   sloc.xsl  sloc.yaml  sloc.zsh topic.primary topic.primary_fq  \\\n",
       "0       NaN        NaN       NaN      internet         internet   \n",
       "1       NaN      752.0       NaN      internet         internet   \n",
       "2       NaN        NaN       NaN      internet         internet   \n",
       "3     450.0       53.0       NaN      internet         internet   \n",
       "4       NaN        NaN       NaN      internet         internet   \n",
       "\n",
       "  topic.secondary topic.secondary_fq  vcs.commit_count  vcs.committer_count  \\\n",
       "0    organization       organization             943.0                 43.0   \n",
       "1    organization       organization            3917.0                 49.0   \n",
       "2             NaN                NaN             511.0                  3.0   \n",
       "3             NaN                NaN            8741.0                 70.0   \n",
       "4             NaN                NaN            1588.0                 11.0   \n",
       "\n",
       "   vcs.committer_percent_dist.10  vcs.committer_percent_dist.100  \\\n",
       "0                            1.0                            43.0   \n",
       "1                            1.0                            49.0   \n",
       "2                            1.0                             3.0   \n",
       "3                            1.0                            70.0   \n",
       "4                            1.0                            11.0   \n",
       "\n",
       "   vcs.committer_percent_dist.20  vcs.committer_percent_dist.30  \\\n",
       "0                            1.0                            1.0   \n",
       "1                            1.0                            2.0   \n",
       "2                            1.0                            1.0   \n",
       "3                            1.0                            2.0   \n",
       "4                            1.0                            1.0   \n",
       "\n",
       "   vcs.committer_percent_dist.40  vcs.committer_percent_dist.50  \\\n",
       "0                            1.0                            1.0   \n",
       "1                            2.0                            3.0   \n",
       "2                            1.0                            1.0   \n",
       "3                            2.0                            3.0   \n",
       "4                            1.0                            1.0   \n",
       "\n",
       "   vcs.committer_percent_dist.60  vcs.committer_percent_dist.70  \\\n",
       "0                            1.0                            1.0   \n",
       "1                            4.0                            5.0   \n",
       "2                            1.0                            1.0   \n",
       "3                            3.0                            4.0   \n",
       "4                            2.0                            2.0   \n",
       "\n",
       "   vcs.committer_percent_dist.80  vcs.committer_percent_dist.90  \\\n",
       "0                            1.0                            1.0   \n",
       "1                            6.0                            8.0   \n",
       "2                            1.0                            1.0   \n",
       "3                            5.0                            9.0   \n",
       "4                            3.0                            3.0   \n",
       "\n",
       "   vcs.committer_percent_dist.95  vcs.committer_percent_dist.99  \\\n",
       "0                           10.0                           34.0   \n",
       "1                           13.0                           23.0   \n",
       "2                            1.0                            1.0   \n",
       "3                           11.0                           20.0   \n",
       "4                            4.0                            6.0   \n",
       "\n",
       "   vcs.committer_top_5.0  vcs.committer_top_5.1  vcs.committer_top_5.2  \\\n",
       "0                 0.9046                 0.0085                 0.0053   \n",
       "1                 0.2339                 0.1698                 0.1557   \n",
       "2                 0.9961                 0.0020                 0.0020   \n",
       "3                 0.2333                 0.2116                 0.1679   \n",
       "4                 0.5088                 0.2311                 0.1738   \n",
       "\n",
       "   vcs.committer_top_5.3  vcs.committer_top_5.4     vcs.first_commit  \\\n",
       "0                 0.0053                 0.0053  2017-05-05T08:50:15   \n",
       "1                 0.1021                 0.0968  2012-09-15T06:37:51   \n",
       "2                    NaN                    NaN  2010-03-19T06:22:20   \n",
       "3                 0.1403                 0.0469  2006-11-28T17:22:48   \n",
       "4                 0.0573                 0.0170  2018-02-05T04:48:13   \n",
       "\n",
       "     vcs.latest_commit  vcs.minor_committer_counts.1  \\\n",
       "0  2019-10-01T21:05:32                          21.0   \n",
       "1  2019-08-22T03:28:15                          17.0   \n",
       "2  2018-08-02T02:17:33                           2.0   \n",
       "3  2019-06-25T10:51:59                          34.0   \n",
       "4  2019-09-21T01:07:41                           3.0   \n",
       "\n",
       "   vcs.minor_committer_counts.2  vcs.minor_committer_counts.3  \\\n",
       "0                          31.0                          34.0   \n",
       "1                          24.0                          27.0   \n",
       "2                           2.0                           2.0   \n",
       "3                          42.0                          44.0   \n",
       "4                           5.0                           5.0   \n",
       "\n",
       "   vcs.minor_committer_counts.4  vcs.minor_committer_counts.5 vcs.vcs_name  \n",
       "0                          37.0                          41.0          git  \n",
       "1                          27.0                          29.0          git  \n",
       "2                           2.0                           2.0          git  \n",
       "3                          48.0                          49.0          git  \n",
       "4                           5.0                           5.0          git  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', len(apa_df.columns))\n",
    "apa_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>arch.compat.min_py2</th>\n",
       "      <th>arch.compat.min_py3</th>\n",
       "      <th>gh.forks</th>\n",
       "      <th>gh.open_issues</th>\n",
       "      <th>gh.size</th>\n",
       "      <th>gh.stars</th>\n",
       "      <th>gh.watchers</th>\n",
       "      <th>sloc.RATIO.OTHER</th>\n",
       "      <th>sloc.RATIO.autoconf</th>\n",
       "      <th>sloc.RATIO.c</th>\n",
       "      <th>sloc.RATIO.coffeescript</th>\n",
       "      <th>sloc.RATIO.coq</th>\n",
       "      <th>sloc.RATIO.cpp</th>\n",
       "      <th>sloc.RATIO.css</th>\n",
       "      <th>sloc.RATIO.dockerfile</th>\n",
       "      <th>sloc.RATIO.go</th>\n",
       "      <th>sloc.RATIO.haskell</th>\n",
       "      <th>sloc.RATIO.html</th>\n",
       "      <th>sloc.RATIO.java</th>\n",
       "      <th>sloc.RATIO.javascript</th>\n",
       "      <th>sloc.RATIO.jsx</th>\n",
       "      <th>sloc.RATIO.less</th>\n",
       "      <th>sloc.RATIO.lua</th>\n",
       "      <th>sloc.RATIO.markdown</th>\n",
       "      <th>sloc.RATIO.meson</th>\n",
       "      <th>sloc.RATIO.objectivec</th>\n",
       "      <th>sloc.RATIO.python</th>\n",
       "      <th>sloc.RATIO.qml</th>\n",
       "      <th>sloc.RATIO.restructuredtext</th>\n",
       "      <th>sloc.RATIO.rust</th>\n",
       "      <th>sloc.RATIO.sass</th>\n",
       "      <th>sloc.RATIO.sh</th>\n",
       "      <th>sloc.RATIO.sql</th>\n",
       "      <th>sloc.RATIO.systemverilog</th>\n",
       "      <th>sloc.RATIO.tex</th>\n",
       "      <th>sloc.RATIO.typescript</th>\n",
       "      <th>sloc.RATIO.vue</th>\n",
       "      <th>sloc.RATIO.xml</th>\n",
       "      <th>sloc.RATIO.xsl</th>\n",
       "      <th>sloc.RATIO.yaml</th>\n",
       "      <th>sloc.TOTAL_blanks</th>\n",
       "      <th>sloc.TOTAL_code</th>\n",
       "      <th>sloc.TOTAL_comments</th>\n",
       "      <th>sloc.TOTAL_dirs</th>\n",
       "      <th>sloc.TOTAL_files</th>\n",
       "      <th>sloc.TOTAL_lines</th>\n",
       "      <th>sloc.actionscript</th>\n",
       "      <th>sloc.asp</th>\n",
       "      <th>sloc.assembly</th>\n",
       "      <th>sloc.autoconf</th>\n",
       "      <th>sloc.automake</th>\n",
       "      <th>sloc.bash</th>\n",
       "      <th>sloc.batch</th>\n",
       "      <th>sloc.c</th>\n",
       "      <th>sloc.c_code</th>\n",
       "      <th>sloc.c_comments</th>\n",
       "      <th>sloc.c_files</th>\n",
       "      <th>sloc.cabal</th>\n",
       "      <th>sloc.cmake</th>\n",
       "      <th>sloc.coffeescript</th>\n",
       "      <th>sloc.coq</th>\n",
       "      <th>sloc.cpp</th>\n",
       "      <th>sloc.cpp_code</th>\n",
       "      <th>sloc.cpp_comments</th>\n",
       "      <th>sloc.cpp_files</th>\n",
       "      <th>sloc.csharp</th>\n",
       "      <th>sloc.cshell</th>\n",
       "      <th>sloc.css</th>\n",
       "      <th>sloc.d</th>\n",
       "      <th>sloc.dockerfile</th>\n",
       "      <th>sloc.dotnetresource</th>\n",
       "      <th>sloc.elisp</th>\n",
       "      <th>sloc.elixir</th>\n",
       "      <th>sloc.fish</th>\n",
       "      <th>sloc.forth</th>\n",
       "      <th>sloc.fortranlegacy</th>\n",
       "      <th>sloc.fortranmodern</th>\n",
       "      <th>sloc.glsl</th>\n",
       "      <th>sloc.go</th>\n",
       "      <th>sloc.graphql</th>\n",
       "      <th>sloc.groovy</th>\n",
       "      <th>sloc.handlebars</th>\n",
       "      <th>sloc.happy</th>\n",
       "      <th>sloc.haskell</th>\n",
       "      <th>sloc.hcl</th>\n",
       "      <th>sloc.html</th>\n",
       "      <th>sloc.java</th>\n",
       "      <th>sloc.javascript</th>\n",
       "      <th>sloc.jsx</th>\n",
       "      <th>sloc.less</th>\n",
       "      <th>sloc.llvm</th>\n",
       "      <th>sloc.lua</th>\n",
       "      <th>sloc.makefile</th>\n",
       "      <th>sloc.markdown</th>\n",
       "      <th>sloc.meson</th>\n",
       "      <th>sloc.moduledef</th>\n",
       "      <th>sloc.msbuild</th>\n",
       "      <th>sloc.mustache</th>\n",
       "      <th>sloc.nix</th>\n",
       "      <th>sloc.objectivec</th>\n",
       "      <th>sloc.objectivecpp</th>\n",
       "      <th>sloc.org</th>\n",
       "      <th>sloc.pascal</th>\n",
       "      <th>sloc.perl</th>\n",
       "      <th>sloc.php</th>\n",
       "      <th>sloc.prolog</th>\n",
       "      <th>sloc.protobuf</th>\n",
       "      <th>sloc.python</th>\n",
       "      <th>sloc.python_code</th>\n",
       "      <th>sloc.python_comments</th>\n",
       "      <th>sloc.python_files</th>\n",
       "      <th>sloc.qml</th>\n",
       "      <th>sloc.r</th>\n",
       "      <th>sloc.rakefile</th>\n",
       "      <th>sloc.restructuredtext</th>\n",
       "      <th>sloc.rpmspecfile</th>\n",
       "      <th>sloc.ruby</th>\n",
       "      <th>sloc.rubyhtml</th>\n",
       "      <th>sloc.rust</th>\n",
       "      <th>sloc.sass</th>\n",
       "      <th>sloc.scala</th>\n",
       "      <th>sloc.scheme</th>\n",
       "      <th>sloc.scons</th>\n",
       "      <th>sloc.sh</th>\n",
       "      <th>sloc.sql</th>\n",
       "      <th>sloc.srecode</th>\n",
       "      <th>sloc.swift</th>\n",
       "      <th>sloc.swig</th>\n",
       "      <th>sloc.systemverilog</th>\n",
       "      <th>sloc.tcl</th>\n",
       "      <th>sloc.tex</th>\n",
       "      <th>sloc.toml</th>\n",
       "      <th>sloc.typescript</th>\n",
       "      <th>sloc.vala</th>\n",
       "      <th>sloc.vb6</th>\n",
       "      <th>sloc.vimscript</th>\n",
       "      <th>sloc.visualstudioproject</th>\n",
       "      <th>sloc.visualstudiosolution</th>\n",
       "      <th>sloc.vue</th>\n",
       "      <th>sloc.xml</th>\n",
       "      <th>sloc.xsl</th>\n",
       "      <th>sloc.yaml</th>\n",
       "      <th>sloc.zsh</th>\n",
       "      <th>vcs.commit_count</th>\n",
       "      <th>vcs.committer_count</th>\n",
       "      <th>vcs.committer_percent_dist.10</th>\n",
       "      <th>vcs.committer_percent_dist.100</th>\n",
       "      <th>vcs.committer_percent_dist.20</th>\n",
       "      <th>vcs.committer_percent_dist.30</th>\n",
       "      <th>vcs.committer_percent_dist.40</th>\n",
       "      <th>vcs.committer_percent_dist.50</th>\n",
       "      <th>vcs.committer_percent_dist.60</th>\n",
       "      <th>vcs.committer_percent_dist.70</th>\n",
       "      <th>vcs.committer_percent_dist.80</th>\n",
       "      <th>vcs.committer_percent_dist.90</th>\n",
       "      <th>vcs.committer_percent_dist.95</th>\n",
       "      <th>vcs.committer_percent_dist.99</th>\n",
       "      <th>vcs.committer_top_5.0</th>\n",
       "      <th>vcs.committer_top_5.1</th>\n",
       "      <th>vcs.committer_top_5.2</th>\n",
       "      <th>vcs.committer_top_5.3</th>\n",
       "      <th>vcs.committer_top_5.4</th>\n",
       "      <th>vcs.minor_committer_counts.1</th>\n",
       "      <th>vcs.minor_committer_counts.2</th>\n",
       "      <th>vcs.minor_committer_counts.3</th>\n",
       "      <th>vcs.minor_committer_counts.4</th>\n",
       "      <th>vcs.minor_committer_counts.5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>143.000000</td>\n",
       "      <td>253.000000</td>\n",
       "      <td>313.000000</td>\n",
       "      <td>313.000000</td>\n",
       "      <td>3.130000e+02</td>\n",
       "      <td>313.000000</td>\n",
       "      <td>313.000000</td>\n",
       "      <td>357.000000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>357.000000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>357.000000</td>\n",
       "      <td>3.570000e+02</td>\n",
       "      <td>357.000000</td>\n",
       "      <td>357.000000</td>\n",
       "      <td>357.000000</td>\n",
       "      <td>3.570000e+02</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.00000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>205.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>1.720000e+02</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>186.000000</td>\n",
       "      <td>249.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3.570000e+02</td>\n",
       "      <td>3.570000e+02</td>\n",
       "      <td>357.000000</td>\n",
       "      <td>357.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>213.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>190.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.140000e+02</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>131.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>340.000000</td>\n",
       "      <td>337.000000</td>\n",
       "      <td>332.000000</td>\n",
       "      <td>328.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "      <td>343.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>2.658741</td>\n",
       "      <td>3.405929</td>\n",
       "      <td>643.399361</td>\n",
       "      <td>249.338658</td>\n",
       "      <td>7.075303e+04</td>\n",
       "      <td>3269.121406</td>\n",
       "      <td>156.702875</td>\n",
       "      <td>0.192493</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.115306</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.115000</td>\n",
       "      <td>0.175517</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.181034</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>0.282619</td>\n",
       "      <td>0.236000</td>\n",
       "      <td>0.182000</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.183000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.601961</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.179839</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.193333</td>\n",
       "      <td>0.304000</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.357143</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.351818</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.190000</td>\n",
       "      <td>18778.042017</td>\n",
       "      <td>1.634161e+05</td>\n",
       "      <td>11649.907563</td>\n",
       "      <td>295.700280</td>\n",
       "      <td>1578.717087</td>\n",
       "      <td>1.938440e+05</td>\n",
       "      <td>191.500000</td>\n",
       "      <td>129.0</td>\n",
       "      <td>5284.400000</td>\n",
       "      <td>964.782609</td>\n",
       "      <td>864.166667</td>\n",
       "      <td>645.129032</td>\n",
       "      <td>221.154762</td>\n",
       "      <td>26709.325000</td>\n",
       "      <td>12374.737500</td>\n",
       "      <td>2862.277778</td>\n",
       "      <td>37.458333</td>\n",
       "      <td>116.0</td>\n",
       "      <td>6211.50000</td>\n",
       "      <td>17915.400000</td>\n",
       "      <td>27894.0</td>\n",
       "      <td>46245.365854</td>\n",
       "      <td>31536.878049</td>\n",
       "      <td>5601.750000</td>\n",
       "      <td>113.875000</td>\n",
       "      <td>809.000000</td>\n",
       "      <td>51.0</td>\n",
       "      <td>5462.112299</td>\n",
       "      <td>185.600000</td>\n",
       "      <td>215.959184</td>\n",
       "      <td>69.500000</td>\n",
       "      <td>505.000000</td>\n",
       "      <td>527.500000</td>\n",
       "      <td>256.400000</td>\n",
       "      <td>146.0</td>\n",
       "      <td>4875.250000</td>\n",
       "      <td>227.750000</td>\n",
       "      <td>262.000000</td>\n",
       "      <td>922.833333</td>\n",
       "      <td>2290.000000</td>\n",
       "      <td>406.0</td>\n",
       "      <td>4394.0</td>\n",
       "      <td>951.800000</td>\n",
       "      <td>68320.0</td>\n",
       "      <td>517.000000</td>\n",
       "      <td>7391.482927</td>\n",
       "      <td>15073.615385</td>\n",
       "      <td>4.243221e+04</td>\n",
       "      <td>22161.000000</td>\n",
       "      <td>6424.384615</td>\n",
       "      <td>259.0</td>\n",
       "      <td>3201.333333</td>\n",
       "      <td>282.102151</td>\n",
       "      <td>1789.345382</td>\n",
       "      <td>4007.000000</td>\n",
       "      <td>365.500000</td>\n",
       "      <td>131.666667</td>\n",
       "      <td>2443.250000</td>\n",
       "      <td>13235.0</td>\n",
       "      <td>11871.833333</td>\n",
       "      <td>1178.500000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>1268.000000</td>\n",
       "      <td>2422.941176</td>\n",
       "      <td>1938.285714</td>\n",
       "      <td>193.000000</td>\n",
       "      <td>2504.000000</td>\n",
       "      <td>8.479750e+04</td>\n",
       "      <td>6.617975e+04</td>\n",
       "      <td>5850.470588</td>\n",
       "      <td>368.016807</td>\n",
       "      <td>4451.333333</td>\n",
       "      <td>3966.000000</td>\n",
       "      <td>112.0</td>\n",
       "      <td>7331.868545</td>\n",
       "      <td>394.904762</td>\n",
       "      <td>3340.800000</td>\n",
       "      <td>496.0</td>\n",
       "      <td>17247.000000</td>\n",
       "      <td>6947.534884</td>\n",
       "      <td>1876.0000</td>\n",
       "      <td>74.0</td>\n",
       "      <td>1530.333333</td>\n",
       "      <td>1327.852632</td>\n",
       "      <td>6215.833333</td>\n",
       "      <td>61213.0</td>\n",
       "      <td>89.000000</td>\n",
       "      <td>1401.250000</td>\n",
       "      <td>10614.000000</td>\n",
       "      <td>5189.50000</td>\n",
       "      <td>2045.692308</td>\n",
       "      <td>206.307692</td>\n",
       "      <td>69898.578947</td>\n",
       "      <td>274.000000</td>\n",
       "      <td>1027.000000</td>\n",
       "      <td>227.333333</td>\n",
       "      <td>1182.000000</td>\n",
       "      <td>243.666667</td>\n",
       "      <td>15095.000000</td>\n",
       "      <td>8.306599e+04</td>\n",
       "      <td>12857.631579</td>\n",
       "      <td>4612.206107</td>\n",
       "      <td>191.250000</td>\n",
       "      <td>7397.574344</td>\n",
       "      <td>148.644315</td>\n",
       "      <td>1.011662</td>\n",
       "      <td>148.644315</td>\n",
       "      <td>1.125364</td>\n",
       "      <td>1.309038</td>\n",
       "      <td>1.638484</td>\n",
       "      <td>2.177843</td>\n",
       "      <td>3.020408</td>\n",
       "      <td>4.586006</td>\n",
       "      <td>8.332362</td>\n",
       "      <td>21.104956</td>\n",
       "      <td>42.781341</td>\n",
       "      <td>101.443149</td>\n",
       "      <td>0.554508</td>\n",
       "      <td>0.144576</td>\n",
       "      <td>0.068397</td>\n",
       "      <td>0.042494</td>\n",
       "      <td>0.028759</td>\n",
       "      <td>65.373178</td>\n",
       "      <td>87.807580</td>\n",
       "      <td>98.973761</td>\n",
       "      <td>106.346939</td>\n",
       "      <td>111.198251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>0.102317</td>\n",
       "      <td>0.194988</td>\n",
       "      <td>1496.067845</td>\n",
       "      <td>529.721305</td>\n",
       "      <td>1.955378e+05</td>\n",
       "      <td>5758.914421</td>\n",
       "      <td>242.849981</td>\n",
       "      <td>0.177687</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.155659</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.143585</td>\n",
       "      <td>0.086420</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.116231</td>\n",
       "      <td>0.162635</td>\n",
       "      <td>0.175658</td>\n",
       "      <td>0.167123</td>\n",
       "      <td>0.058052</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.120748</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.263538</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.124473</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.074476</td>\n",
       "      <td>0.271256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.203365</td>\n",
       "      <td>0.014142</td>\n",
       "      <td>0.289061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.054314</td>\n",
       "      <td>38411.949559</td>\n",
       "      <td>6.161890e+05</td>\n",
       "      <td>27763.930115</td>\n",
       "      <td>863.850634</td>\n",
       "      <td>4978.212587</td>\n",
       "      <td>6.630166e+05</td>\n",
       "      <td>103.944697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9859.720878</td>\n",
       "      <td>1845.637885</td>\n",
       "      <td>1054.310445</td>\n",
       "      <td>1107.802291</td>\n",
       "      <td>169.024023</td>\n",
       "      <td>70624.128447</td>\n",
       "      <td>38784.263341</td>\n",
       "      <td>8360.165296</td>\n",
       "      <td>97.379747</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9313.49923</td>\n",
       "      <td>36395.685037</td>\n",
       "      <td>NaN</td>\n",
       "      <td>169348.652551</td>\n",
       "      <td>113000.259890</td>\n",
       "      <td>20170.136183</td>\n",
       "      <td>351.200957</td>\n",
       "      <td>1336.212408</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13904.533833</td>\n",
       "      <td>104.459562</td>\n",
       "      <td>520.907860</td>\n",
       "      <td>6.363961</td>\n",
       "      <td>510.933133</td>\n",
       "      <td>491.439213</td>\n",
       "      <td>200.456479</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8011.112797</td>\n",
       "      <td>181.943902</td>\n",
       "      <td>2.828427</td>\n",
       "      <td>1121.542049</td>\n",
       "      <td>2920.351006</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1019.502673</td>\n",
       "      <td>NaN</td>\n",
       "      <td>201.477046</td>\n",
       "      <td>26041.006349</td>\n",
       "      <td>38143.225616</td>\n",
       "      <td>1.548581e+05</td>\n",
       "      <td>41463.426101</td>\n",
       "      <td>5875.301178</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2948.970046</td>\n",
       "      <td>472.931428</td>\n",
       "      <td>6537.408574</td>\n",
       "      <td>6596.600488</td>\n",
       "      <td>334.250056</td>\n",
       "      <td>110.192256</td>\n",
       "      <td>3608.514688</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26458.326759</td>\n",
       "      <td>989.938214</td>\n",
       "      <td>26.286879</td>\n",
       "      <td>1585.333403</td>\n",
       "      <td>5472.642694</td>\n",
       "      <td>2882.479934</td>\n",
       "      <td>114.763525</td>\n",
       "      <td>3928.761891</td>\n",
       "      <td>1.810153e+05</td>\n",
       "      <td>1.459953e+05</td>\n",
       "      <td>11041.551110</td>\n",
       "      <td>687.358676</td>\n",
       "      <td>4625.711008</td>\n",
       "      <td>3896.158364</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17731.845895</td>\n",
       "      <td>682.609584</td>\n",
       "      <td>7003.378735</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16233.757482</td>\n",
       "      <td>12560.414359</td>\n",
       "      <td>2179.3031</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1209.563695</td>\n",
       "      <td>6252.744126</td>\n",
       "      <td>15968.853696</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.669048</td>\n",
       "      <td>2584.795849</td>\n",
       "      <td>14813.887066</td>\n",
       "      <td>1320.16836</td>\n",
       "      <td>3052.281698</td>\n",
       "      <td>303.496948</td>\n",
       "      <td>224881.815979</td>\n",
       "      <td>271.529004</td>\n",
       "      <td>1468.189702</td>\n",
       "      <td>116.980055</td>\n",
       "      <td>2078.414396</td>\n",
       "      <td>150.141045</td>\n",
       "      <td>20422.909509</td>\n",
       "      <td>7.765389e+05</td>\n",
       "      <td>53810.665871</td>\n",
       "      <td>31778.957981</td>\n",
       "      <td>119.477683</td>\n",
       "      <td>14537.787904</td>\n",
       "      <td>378.710472</td>\n",
       "      <td>0.152497</td>\n",
       "      <td>378.710472</td>\n",
       "      <td>0.506130</td>\n",
       "      <td>0.935402</td>\n",
       "      <td>1.586835</td>\n",
       "      <td>2.654661</td>\n",
       "      <td>4.521184</td>\n",
       "      <td>8.574274</td>\n",
       "      <td>22.217697</td>\n",
       "      <td>79.340708</td>\n",
       "      <td>167.431094</td>\n",
       "      <td>312.310474</td>\n",
       "      <td>0.260920</td>\n",
       "      <td>0.105307</td>\n",
       "      <td>0.054320</td>\n",
       "      <td>0.036107</td>\n",
       "      <td>0.024929</td>\n",
       "      <td>190.081409</td>\n",
       "      <td>249.249853</td>\n",
       "      <td>277.846200</td>\n",
       "      <td>296.437856</td>\n",
       "      <td>309.182881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.330000e+02</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.270000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.110000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.110000</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.170000</td>\n",
       "      <td>0.230000</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>5.900000e+01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>8.500000e+01</td>\n",
       "      <td>118.000000</td>\n",
       "      <td>129.0</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>51.000000</td>\n",
       "      <td>86.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>116.0</td>\n",
       "      <td>91.00000</td>\n",
       "      <td>165.000000</td>\n",
       "      <td>27894.0</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>51.0</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>121.000000</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>146.0</td>\n",
       "      <td>109.000000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>260.000000</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>225.000000</td>\n",
       "      <td>406.0</td>\n",
       "      <td>4394.0</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>68320.0</td>\n",
       "      <td>308.000000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>5.700000e+01</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>259.0</td>\n",
       "      <td>1027.000000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>222.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>13235.0</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>147.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>5.100000e+01</td>\n",
       "      <td>4.200000e+01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>1211.000000</td>\n",
       "      <td>112.0</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>496.0</td>\n",
       "      <td>5768.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>335.0000</td>\n",
       "      <td>74.0</td>\n",
       "      <td>262.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>61213.0</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>4256.00000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>151.000000</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>225.000000</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>587.000000</td>\n",
       "      <td>5.200000e+01</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.049200</td>\n",
       "      <td>0.000600</td>\n",
       "      <td>0.000300</td>\n",
       "      <td>0.000300</td>\n",
       "      <td>0.000300</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>5.171000e+03</td>\n",
       "      <td>301.000000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>0.070000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.110000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.110000</td>\n",
       "      <td>0.327500</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.110000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.390000</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.135000</td>\n",
       "      <td>0.130000</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.220000</td>\n",
       "      <td>0.235000</td>\n",
       "      <td>0.165000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>2702.000000</td>\n",
       "      <td>1.953200e+04</td>\n",
       "      <td>1031.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>252.000000</td>\n",
       "      <td>2.374400e+04</td>\n",
       "      <td>154.750000</td>\n",
       "      <td>129.0</td>\n",
       "      <td>221.000000</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>154.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>116.750000</td>\n",
       "      <td>151.250000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>10.750000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>116.0</td>\n",
       "      <td>223.50000</td>\n",
       "      <td>558.000000</td>\n",
       "      <td>27894.0</td>\n",
       "      <td>165.000000</td>\n",
       "      <td>121.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>101.750000</td>\n",
       "      <td>51.0</td>\n",
       "      <td>397.500000</td>\n",
       "      <td>113.000000</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>67.250000</td>\n",
       "      <td>257.500000</td>\n",
       "      <td>353.750000</td>\n",
       "      <td>112.000000</td>\n",
       "      <td>146.0</td>\n",
       "      <td>653.500000</td>\n",
       "      <td>143.500000</td>\n",
       "      <td>261.000000</td>\n",
       "      <td>167.500000</td>\n",
       "      <td>1257.500000</td>\n",
       "      <td>406.0</td>\n",
       "      <td>4394.0</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>68320.0</td>\n",
       "      <td>420.500000</td>\n",
       "      <td>443.000000</td>\n",
       "      <td>181.000000</td>\n",
       "      <td>8.855000e+02</td>\n",
       "      <td>3188.500000</td>\n",
       "      <td>1370.500000</td>\n",
       "      <td>259.0</td>\n",
       "      <td>1523.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>157.000000</td>\n",
       "      <td>269.250000</td>\n",
       "      <td>146.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>213.000000</td>\n",
       "      <td>13235.0</td>\n",
       "      <td>313.500000</td>\n",
       "      <td>495.750000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>707.500000</td>\n",
       "      <td>175.000000</td>\n",
       "      <td>195.500000</td>\n",
       "      <td>118.500000</td>\n",
       "      <td>123.750000</td>\n",
       "      <td>1.296100e+04</td>\n",
       "      <td>1.018200e+04</td>\n",
       "      <td>670.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>2032.000000</td>\n",
       "      <td>2588.500000</td>\n",
       "      <td>112.0</td>\n",
       "      <td>540.000000</td>\n",
       "      <td>91.750000</td>\n",
       "      <td>222.000000</td>\n",
       "      <td>496.0</td>\n",
       "      <td>11507.500000</td>\n",
       "      <td>772.000000</td>\n",
       "      <td>1105.5000</td>\n",
       "      <td>74.0</td>\n",
       "      <td>960.000000</td>\n",
       "      <td>131.250000</td>\n",
       "      <td>201.250000</td>\n",
       "      <td>61213.0</td>\n",
       "      <td>72.500000</td>\n",
       "      <td>61.250000</td>\n",
       "      <td>5376.500000</td>\n",
       "      <td>4722.75000</td>\n",
       "      <td>203.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>823.500000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>179.500000</td>\n",
       "      <td>161.000000</td>\n",
       "      <td>250.250000</td>\n",
       "      <td>174.500000</td>\n",
       "      <td>2332.750000</td>\n",
       "      <td>2.002500e+02</td>\n",
       "      <td>74.500000</td>\n",
       "      <td>88.500000</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>1050.500000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.352400</td>\n",
       "      <td>0.056200</td>\n",
       "      <td>0.019800</td>\n",
       "      <td>0.012200</td>\n",
       "      <td>0.008150</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>14.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>236.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>1.782300e+04</td>\n",
       "      <td>1169.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>0.205000</td>\n",
       "      <td>0.160000</td>\n",
       "      <td>0.190000</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.640000</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.185000</td>\n",
       "      <td>0.190000</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.290000</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.170000</td>\n",
       "      <td>7820.000000</td>\n",
       "      <td>5.243600e+04</td>\n",
       "      <td>3800.000000</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>597.000000</td>\n",
       "      <td>6.343800e+04</td>\n",
       "      <td>191.500000</td>\n",
       "      <td>129.0</td>\n",
       "      <td>1343.000000</td>\n",
       "      <td>271.000000</td>\n",
       "      <td>457.000000</td>\n",
       "      <td>164.000000</td>\n",
       "      <td>190.000000</td>\n",
       "      <td>1566.500000</td>\n",
       "      <td>343.500000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>116.0</td>\n",
       "      <td>413.00000</td>\n",
       "      <td>2563.000000</td>\n",
       "      <td>27894.0</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>935.000000</td>\n",
       "      <td>115.500000</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>217.000000</td>\n",
       "      <td>51.0</td>\n",
       "      <td>1272.000000</td>\n",
       "      <td>159.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>69.500000</td>\n",
       "      <td>320.500000</td>\n",
       "      <td>527.500000</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>146.0</td>\n",
       "      <td>1270.000000</td>\n",
       "      <td>169.500000</td>\n",
       "      <td>262.000000</td>\n",
       "      <td>434.500000</td>\n",
       "      <td>2290.000000</td>\n",
       "      <td>406.0</td>\n",
       "      <td>4394.0</td>\n",
       "      <td>728.000000</td>\n",
       "      <td>68320.0</td>\n",
       "      <td>533.000000</td>\n",
       "      <td>2113.000000</td>\n",
       "      <td>1738.000000</td>\n",
       "      <td>7.350000e+03</td>\n",
       "      <td>5425.000000</td>\n",
       "      <td>5253.000000</td>\n",
       "      <td>259.0</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>192.500000</td>\n",
       "      <td>356.000000</td>\n",
       "      <td>977.500000</td>\n",
       "      <td>234.000000</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>967.000000</td>\n",
       "      <td>13235.0</td>\n",
       "      <td>690.000000</td>\n",
       "      <td>1177.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>1268.000000</td>\n",
       "      <td>372.000000</td>\n",
       "      <td>352.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>953.000000</td>\n",
       "      <td>3.544100e+04</td>\n",
       "      <td>2.672900e+04</td>\n",
       "      <td>2263.000000</td>\n",
       "      <td>169.000000</td>\n",
       "      <td>3991.000000</td>\n",
       "      <td>3966.000000</td>\n",
       "      <td>112.0</td>\n",
       "      <td>2534.000000</td>\n",
       "      <td>190.000000</td>\n",
       "      <td>230.000000</td>\n",
       "      <td>496.0</td>\n",
       "      <td>17247.000000</td>\n",
       "      <td>2196.000000</td>\n",
       "      <td>1876.0000</td>\n",
       "      <td>74.0</td>\n",
       "      <td>1658.000000</td>\n",
       "      <td>302.500000</td>\n",
       "      <td>607.000000</td>\n",
       "      <td>61213.0</td>\n",
       "      <td>89.000000</td>\n",
       "      <td>136.000000</td>\n",
       "      <td>10614.000000</td>\n",
       "      <td>5189.50000</td>\n",
       "      <td>442.000000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>3719.000000</td>\n",
       "      <td>274.000000</td>\n",
       "      <td>208.000000</td>\n",
       "      <td>183.000000</td>\n",
       "      <td>373.000000</td>\n",
       "      <td>265.000000</td>\n",
       "      <td>5372.000000</td>\n",
       "      <td>7.045000e+02</td>\n",
       "      <td>272.000000</td>\n",
       "      <td>192.000000</td>\n",
       "      <td>202.000000</td>\n",
       "      <td>2993.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.524600</td>\n",
       "      <td>0.129950</td>\n",
       "      <td>0.055900</td>\n",
       "      <td>0.033900</td>\n",
       "      <td>0.021500</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>41.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>593.000000</td>\n",
       "      <td>249.000000</td>\n",
       "      <td>6.094200e+04</td>\n",
       "      <td>3807.000000</td>\n",
       "      <td>185.000000</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.115000</td>\n",
       "      <td>0.230000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.180000</td>\n",
       "      <td>0.442500</td>\n",
       "      <td>0.360000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.230000</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.175000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.820000</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.190000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.310000</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.435000</td>\n",
       "      <td>0.245000</td>\n",
       "      <td>0.505000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.220000</td>\n",
       "      <td>18487.000000</td>\n",
       "      <td>1.283750e+05</td>\n",
       "      <td>9779.000000</td>\n",
       "      <td>247.000000</td>\n",
       "      <td>1337.000000</td>\n",
       "      <td>1.580770e+05</td>\n",
       "      <td>228.250000</td>\n",
       "      <td>129.0</td>\n",
       "      <td>1930.000000</td>\n",
       "      <td>641.000000</td>\n",
       "      <td>826.750000</td>\n",
       "      <td>526.500000</td>\n",
       "      <td>263.000000</td>\n",
       "      <td>11063.500000</td>\n",
       "      <td>4769.500000</td>\n",
       "      <td>928.250000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>116.0</td>\n",
       "      <td>11988.25000</td>\n",
       "      <td>3312.000000</td>\n",
       "      <td>27894.0</td>\n",
       "      <td>8848.000000</td>\n",
       "      <td>6099.000000</td>\n",
       "      <td>1193.250000</td>\n",
       "      <td>27.750000</td>\n",
       "      <td>663.750000</td>\n",
       "      <td>51.0</td>\n",
       "      <td>6052.000000</td>\n",
       "      <td>281.000000</td>\n",
       "      <td>202.000000</td>\n",
       "      <td>71.750000</td>\n",
       "      <td>568.000000</td>\n",
       "      <td>701.250000</td>\n",
       "      <td>355.000000</td>\n",
       "      <td>146.0</td>\n",
       "      <td>5491.750000</td>\n",
       "      <td>253.750000</td>\n",
       "      <td>263.000000</td>\n",
       "      <td>1311.250000</td>\n",
       "      <td>3322.500000</td>\n",
       "      <td>406.0</td>\n",
       "      <td>4394.0</td>\n",
       "      <td>913.000000</td>\n",
       "      <td>68320.0</td>\n",
       "      <td>621.500000</td>\n",
       "      <td>6055.000000</td>\n",
       "      <td>7881.000000</td>\n",
       "      <td>2.378075e+04</td>\n",
       "      <td>18402.000000</td>\n",
       "      <td>10389.500000</td>\n",
       "      <td>259.0</td>\n",
       "      <td>4288.500000</td>\n",
       "      <td>278.750000</td>\n",
       "      <td>1295.000000</td>\n",
       "      <td>4715.250000</td>\n",
       "      <td>464.500000</td>\n",
       "      <td>172.500000</td>\n",
       "      <td>3197.250000</td>\n",
       "      <td>13235.0</td>\n",
       "      <td>1867.500000</td>\n",
       "      <td>1859.750000</td>\n",
       "      <td>88.500000</td>\n",
       "      <td>1828.500000</td>\n",
       "      <td>1296.000000</td>\n",
       "      <td>2794.000000</td>\n",
       "      <td>269.500000</td>\n",
       "      <td>2432.000000</td>\n",
       "      <td>9.070700e+04</td>\n",
       "      <td>6.479900e+04</td>\n",
       "      <td>6381.000000</td>\n",
       "      <td>383.000000</td>\n",
       "      <td>6640.500000</td>\n",
       "      <td>5343.500000</td>\n",
       "      <td>112.0</td>\n",
       "      <td>6503.000000</td>\n",
       "      <td>320.500000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>496.0</td>\n",
       "      <td>22986.500000</td>\n",
       "      <td>6777.500000</td>\n",
       "      <td>2646.5000</td>\n",
       "      <td>74.0</td>\n",
       "      <td>2164.500000</td>\n",
       "      <td>735.250000</td>\n",
       "      <td>3829.250000</td>\n",
       "      <td>61213.0</td>\n",
       "      <td>105.500000</td>\n",
       "      <td>1476.000000</td>\n",
       "      <td>15851.500000</td>\n",
       "      <td>5656.25000</td>\n",
       "      <td>3403.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>26915.500000</td>\n",
       "      <td>370.000000</td>\n",
       "      <td>1465.000000</td>\n",
       "      <td>271.500000</td>\n",
       "      <td>462.750000</td>\n",
       "      <td>323.500000</td>\n",
       "      <td>20169.000000</td>\n",
       "      <td>3.317500e+03</td>\n",
       "      <td>578.500000</td>\n",
       "      <td>745.500000</td>\n",
       "      <td>285.250000</td>\n",
       "      <td>7895.000000</td>\n",
       "      <td>147.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>147.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>94.500000</td>\n",
       "      <td>0.788200</td>\n",
       "      <td>0.201600</td>\n",
       "      <td>0.110300</td>\n",
       "      <td>0.063250</td>\n",
       "      <td>0.045850</td>\n",
       "      <td>65.500000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>103.000000</td>\n",
       "      <td>106.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>16910.000000</td>\n",
       "      <td>6174.000000</td>\n",
       "      <td>2.699683e+06</td>\n",
       "      <td>56117.000000</td>\n",
       "      <td>2030.000000</td>\n",
       "      <td>0.970000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.780000</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.510000</td>\n",
       "      <td>0.440000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.640000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.790000</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.490000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.840000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.290000</td>\n",
       "      <td>0.770000</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.730000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.920000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.270000</td>\n",
       "      <td>337516.000000</td>\n",
       "      <td>1.056406e+07</td>\n",
       "      <td>276967.000000</td>\n",
       "      <td>13636.000000</td>\n",
       "      <td>83711.000000</td>\n",
       "      <td>1.113608e+07</td>\n",
       "      <td>265.000000</td>\n",
       "      <td>129.0</td>\n",
       "      <td>22867.000000</td>\n",
       "      <td>9906.000000</td>\n",
       "      <td>3069.000000</td>\n",
       "      <td>4761.000000</td>\n",
       "      <td>1195.000000</td>\n",
       "      <td>455233.000000</td>\n",
       "      <td>293290.000000</td>\n",
       "      <td>43762.000000</td>\n",
       "      <td>616.000000</td>\n",
       "      <td>116.0</td>\n",
       "      <td>20345.00000</td>\n",
       "      <td>82979.000000</td>\n",
       "      <td>27894.0</td>\n",
       "      <td>948559.000000</td>\n",
       "      <td>626928.000000</td>\n",
       "      <td>115575.000000</td>\n",
       "      <td>1916.000000</td>\n",
       "      <td>3481.000000</td>\n",
       "      <td>51.0</td>\n",
       "      <td>151827.000000</td>\n",
       "      <td>307.000000</td>\n",
       "      <td>3721.000000</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>1258.000000</td>\n",
       "      <td>875.000000</td>\n",
       "      <td>565.000000</td>\n",
       "      <td>146.0</td>\n",
       "      <td>16852.000000</td>\n",
       "      <td>493.000000</td>\n",
       "      <td>264.000000</td>\n",
       "      <td>2910.000000</td>\n",
       "      <td>4355.000000</td>\n",
       "      <td>406.0</td>\n",
       "      <td>4394.0</td>\n",
       "      <td>2683.000000</td>\n",
       "      <td>68320.0</td>\n",
       "      <td>710.000000</td>\n",
       "      <td>326264.000000</td>\n",
       "      <td>139675.000000</td>\n",
       "      <td>1.772457e+06</td>\n",
       "      <td>141029.000000</td>\n",
       "      <td>24491.000000</td>\n",
       "      <td>259.0</td>\n",
       "      <td>6558.000000</td>\n",
       "      <td>5995.000000</td>\n",
       "      <td>86199.000000</td>\n",
       "      <td>13851.000000</td>\n",
       "      <td>967.000000</td>\n",
       "      <td>257.000000</td>\n",
       "      <td>7749.000000</td>\n",
       "      <td>13235.0</td>\n",
       "      <td>80056.000000</td>\n",
       "      <td>2261.000000</td>\n",
       "      <td>109.000000</td>\n",
       "      <td>2389.000000</td>\n",
       "      <td>21126.000000</td>\n",
       "      <td>7164.000000</td>\n",
       "      <td>319.000000</td>\n",
       "      <td>11390.000000</td>\n",
       "      <td>1.870620e+06</td>\n",
       "      <td>1.529822e+06</td>\n",
       "      <td>92639.000000</td>\n",
       "      <td>7054.000000</td>\n",
       "      <td>9290.000000</td>\n",
       "      <td>6721.000000</td>\n",
       "      <td>112.0</td>\n",
       "      <td>193402.000000</td>\n",
       "      <td>3542.000000</td>\n",
       "      <td>15868.000000</td>\n",
       "      <td>496.0</td>\n",
       "      <td>28726.000000</td>\n",
       "      <td>73521.000000</td>\n",
       "      <td>3417.0000</td>\n",
       "      <td>74.0</td>\n",
       "      <td>2671.000000</td>\n",
       "      <td>81711.000000</td>\n",
       "      <td>63598.000000</td>\n",
       "      <td>61213.0</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>5277.000000</td>\n",
       "      <td>21089.000000</td>\n",
       "      <td>6123.00000</td>\n",
       "      <td>10079.000000</td>\n",
       "      <td>1077.000000</td>\n",
       "      <td>987568.000000</td>\n",
       "      <td>466.000000</td>\n",
       "      <td>2722.000000</td>\n",
       "      <td>360.000000</td>\n",
       "      <td>5419.000000</td>\n",
       "      <td>382.000000</td>\n",
       "      <td>52818.000000</td>\n",
       "      <td>8.289791e+06</td>\n",
       "      <td>235042.000000</td>\n",
       "      <td>360943.000000</td>\n",
       "      <td>304.000000</td>\n",
       "      <td>140877.000000</td>\n",
       "      <td>5168.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5168.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>314.000000</td>\n",
       "      <td>1298.000000</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>4689.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.481600</td>\n",
       "      <td>0.274800</td>\n",
       "      <td>0.170200</td>\n",
       "      <td>0.111900</td>\n",
       "      <td>2999.000000</td>\n",
       "      <td>3817.000000</td>\n",
       "      <td>4193.000000</td>\n",
       "      <td>4415.000000</td>\n",
       "      <td>4577.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       arch.compat.min_py2  arch.compat.min_py3      gh.forks  gh.open_issues  \\\n",
       "count           143.000000           253.000000    313.000000      313.000000   \n",
       "mean              2.658741             3.405929    643.399361      249.338658   \n",
       "std               0.102317             0.194988   1496.067845      529.721305   \n",
       "min               2.000000             3.000000      0.000000        0.000000   \n",
       "25%               2.700000             3.300000     72.000000       29.000000   \n",
       "50%               2.700000             3.500000    236.000000       90.000000   \n",
       "75%               2.700000             3.600000    593.000000      249.000000   \n",
       "max               2.700000             3.700000  16910.000000     6174.000000   \n",
       "\n",
       "            gh.size      gh.stars  gh.watchers  sloc.RATIO.OTHER  \\\n",
       "count  3.130000e+02    313.000000   313.000000        357.000000   \n",
       "mean   7.075303e+04   3269.121406   156.702875          0.192493   \n",
       "std    1.955378e+05   5758.914421   242.849981          0.177687   \n",
       "min    1.330000e+02      7.000000     2.000000          0.000000   \n",
       "25%    5.171000e+03    301.000000    33.000000          0.070000   \n",
       "50%    1.782300e+04   1169.000000    75.000000          0.140000   \n",
       "75%    6.094200e+04   3807.000000   185.000000          0.240000   \n",
       "max    2.699683e+06  56117.000000  2030.000000          0.970000   \n",
       "\n",
       "       sloc.RATIO.autoconf  sloc.RATIO.c  sloc.RATIO.coffeescript  \\\n",
       "count                 1.00     49.000000                     1.00   \n",
       "mean                  0.11      0.115306                     0.16   \n",
       "std                    NaN      0.155659                      NaN   \n",
       "min                   0.11      0.010000                     0.16   \n",
       "25%                   0.11      0.020000                     0.16   \n",
       "50%                   0.11      0.050000                     0.16   \n",
       "75%                   0.11      0.150000                     0.16   \n",
       "max                   0.11      0.780000                     0.16   \n",
       "\n",
       "       sloc.RATIO.coq  sloc.RATIO.cpp  sloc.RATIO.css  sloc.RATIO.dockerfile  \\\n",
       "count            1.00       22.000000       29.000000                   1.00   \n",
       "mean             0.15        0.115000        0.175517                   0.11   \n",
       "std               NaN        0.143585        0.086420                    NaN   \n",
       "min              0.15        0.010000        0.100000                   0.11   \n",
       "25%              0.15        0.020000        0.110000                   0.11   \n",
       "50%              0.15        0.080000        0.140000                   0.11   \n",
       "75%              0.15        0.115000        0.230000                   0.11   \n",
       "max              0.15        0.510000        0.440000                   0.11   \n",
       "\n",
       "       sloc.RATIO.go  sloc.RATIO.haskell  sloc.RATIO.html  sloc.RATIO.java  \\\n",
       "count           1.00                1.00        29.000000         2.000000   \n",
       "mean            0.46                0.22         0.181034         0.385000   \n",
       "std              NaN                 NaN         0.116231         0.162635   \n",
       "min             0.46                0.22         0.100000         0.270000   \n",
       "25%             0.46                0.22         0.110000         0.327500   \n",
       "50%             0.46                0.22         0.150000         0.385000   \n",
       "75%             0.46                0.22         0.180000         0.442500   \n",
       "max             0.46                0.22         0.640000         0.500000   \n",
       "\n",
       "       sloc.RATIO.javascript  sloc.RATIO.jsx  sloc.RATIO.less  sloc.RATIO.lua  \\\n",
       "count              84.000000        5.000000         5.000000             1.0   \n",
       "mean                0.282619        0.236000         0.182000             0.1   \n",
       "std                 0.175658        0.167123         0.058052             NaN   \n",
       "min                 0.100000        0.110000         0.100000             0.1   \n",
       "25%                 0.150000        0.140000         0.150000             0.1   \n",
       "50%                 0.205000        0.160000         0.190000             0.1   \n",
       "75%                 0.360000        0.250000         0.230000             0.1   \n",
       "max                 0.790000        0.520000         0.240000             0.1   \n",
       "\n",
       "       sloc.RATIO.markdown  sloc.RATIO.meson  sloc.RATIO.objectivec  \\\n",
       "count            20.000000              1.00                   1.00   \n",
       "mean              0.183000              0.12                   0.25   \n",
       "std               0.120748               NaN                    NaN   \n",
       "min               0.100000              0.12                   0.25   \n",
       "25%               0.110000              0.12                   0.25   \n",
       "50%               0.140000              0.12                   0.25   \n",
       "75%               0.175000              0.12                   0.25   \n",
       "max               0.490000              0.12                   0.25   \n",
       "\n",
       "       sloc.RATIO.python  sloc.RATIO.qml  sloc.RATIO.restructuredtext  \\\n",
       "count         357.000000            1.00                    62.000000   \n",
       "mean            0.601961            0.39                     0.179839   \n",
       "std             0.263538             NaN                     0.124473   \n",
       "min             0.010000            0.39                     0.100000   \n",
       "25%             0.390000            0.39                     0.120000   \n",
       "50%             0.640000            0.39                     0.140000   \n",
       "75%             0.820000            0.39                     0.190000   \n",
       "max             0.990000            0.39                     0.840000   \n",
       "\n",
       "       sloc.RATIO.rust  sloc.RATIO.sass  sloc.RATIO.sh  sloc.RATIO.sql  \\\n",
       "count             1.00         6.000000       5.000000            1.00   \n",
       "mean              0.11         0.193333       0.304000            0.27   \n",
       "std                NaN         0.074476       0.271256             NaN   \n",
       "min               0.11         0.110000       0.120000            0.27   \n",
       "25%               0.11         0.135000       0.130000            0.27   \n",
       "50%               0.11         0.185000       0.190000            0.27   \n",
       "75%               0.11         0.250000       0.310000            0.27   \n",
       "max               0.11         0.290000       0.770000            0.27   \n",
       "\n",
       "       sloc.RATIO.systemverilog  sloc.RATIO.tex  sloc.RATIO.typescript  \\\n",
       "count                      1.00            1.00               7.000000   \n",
       "mean                       0.11            0.11               0.357143   \n",
       "std                         NaN             NaN               0.203365   \n",
       "min                        0.11            0.11               0.170000   \n",
       "25%                        0.11            0.11               0.220000   \n",
       "50%                        0.11            0.11               0.290000   \n",
       "75%                        0.11            0.11               0.435000   \n",
       "max                        0.11            0.11               0.730000   \n",
       "\n",
       "       sloc.RATIO.vue  sloc.RATIO.xml  sloc.RATIO.xsl  sloc.RATIO.yaml  \\\n",
       "count        2.000000       11.000000             1.0         5.000000   \n",
       "mean         0.240000        0.351818             0.3         0.190000   \n",
       "std          0.014142        0.289061             NaN         0.054314   \n",
       "min          0.230000        0.140000             0.3         0.140000   \n",
       "25%          0.235000        0.165000             0.3         0.150000   \n",
       "50%          0.240000        0.200000             0.3         0.170000   \n",
       "75%          0.245000        0.505000             0.3         0.220000   \n",
       "max          0.250000        0.920000             0.3         0.270000   \n",
       "\n",
       "       sloc.TOTAL_blanks  sloc.TOTAL_code  sloc.TOTAL_comments  \\\n",
       "count         357.000000     3.570000e+02           357.000000   \n",
       "mean        18778.042017     1.634161e+05         11649.907563   \n",
       "std         38411.949559     6.161890e+05         27763.930115   \n",
       "min             2.000000     5.900000e+01             0.000000   \n",
       "25%          2702.000000     1.953200e+04          1031.000000   \n",
       "50%          7820.000000     5.243600e+04          3800.000000   \n",
       "75%         18487.000000     1.283750e+05          9779.000000   \n",
       "max        337516.000000     1.056406e+07        276967.000000   \n",
       "\n",
       "       sloc.TOTAL_dirs  sloc.TOTAL_files  sloc.TOTAL_lines  sloc.actionscript  \\\n",
       "count       357.000000        357.000000      3.570000e+02           2.000000   \n",
       "mean        295.700280       1578.717087      1.938440e+05         191.500000   \n",
       "std         863.850634       4978.212587      6.630166e+05         103.944697   \n",
       "min          19.000000         50.000000      8.500000e+01         118.000000   \n",
       "25%          59.000000        252.000000      2.374400e+04         154.750000   \n",
       "50%         114.000000        597.000000      6.343800e+04         191.500000   \n",
       "75%         247.000000       1337.000000      1.580770e+05         228.250000   \n",
       "max       13636.000000      83711.000000      1.113608e+07         265.000000   \n",
       "\n",
       "       sloc.asp  sloc.assembly  sloc.autoconf  sloc.automake    sloc.bash  \\\n",
       "count       1.0       5.000000      69.000000      12.000000    31.000000   \n",
       "mean      129.0    5284.400000     964.782609     864.166667   645.129032   \n",
       "std         NaN    9859.720878    1845.637885    1054.310445  1107.802291   \n",
       "min       129.0      61.000000      51.000000      86.000000    55.000000   \n",
       "25%       129.0     221.000000      95.000000     154.000000    98.000000   \n",
       "50%       129.0    1343.000000     271.000000     457.000000   164.000000   \n",
       "75%       129.0    1930.000000     641.000000     826.750000   526.500000   \n",
       "max       129.0   22867.000000    9906.000000    3069.000000  4761.000000   \n",
       "\n",
       "        sloc.batch         sloc.c    sloc.c_code  sloc.c_comments  \\\n",
       "count    84.000000      80.000000      80.000000        72.000000   \n",
       "mean    221.154762   26709.325000   12374.737500      2862.277778   \n",
       "std     169.024023   70624.128447   38784.263341      8360.165296   \n",
       "min      50.000000       2.000000       0.000000         0.000000   \n",
       "25%     116.750000     151.250000      48.000000        10.750000   \n",
       "50%     190.000000    1566.500000     343.500000        81.000000   \n",
       "75%     263.000000   11063.500000    4769.500000       928.250000   \n",
       "max    1195.000000  455233.000000  293290.000000     43762.000000   \n",
       "\n",
       "       sloc.c_files  sloc.cabal   sloc.cmake  sloc.coffeescript  sloc.coq  \\\n",
       "count     72.000000         1.0      6.00000           5.000000       1.0   \n",
       "mean      37.458333       116.0   6211.50000       17915.400000   27894.0   \n",
       "std       97.379747         NaN   9313.49923       36395.685037       NaN   \n",
       "min        1.000000       116.0     91.00000         165.000000   27894.0   \n",
       "25%        1.000000       116.0    223.50000         558.000000   27894.0   \n",
       "50%        4.000000       116.0    413.00000        2563.000000   27894.0   \n",
       "75%       25.000000       116.0  11988.25000        3312.000000   27894.0   \n",
       "max      616.000000       116.0  20345.00000       82979.000000   27894.0   \n",
       "\n",
       "            sloc.cpp  sloc.cpp_code  sloc.cpp_comments  sloc.cpp_files  \\\n",
       "count      41.000000      41.000000          40.000000       40.000000   \n",
       "mean    46245.365854   31536.878049        5601.750000      113.875000   \n",
       "std    169348.652551  113000.259890       20170.136183      351.200957   \n",
       "min        23.000000       0.000000           0.000000        1.000000   \n",
       "25%       165.000000     121.000000          14.000000        2.000000   \n",
       "50%      1448.000000     935.000000         115.500000        8.500000   \n",
       "75%      8848.000000    6099.000000        1193.250000       27.750000   \n",
       "max    948559.000000  626928.000000      115575.000000     1916.000000   \n",
       "\n",
       "       sloc.csharp  sloc.cshell       sloc.css      sloc.d  sloc.dockerfile  \\\n",
       "count     6.000000          1.0     187.000000    5.000000        49.000000   \n",
       "mean    809.000000         51.0    5462.112299  185.600000       215.959184   \n",
       "std    1336.212408          NaN   13904.533833  104.459562       520.907860   \n",
       "min      63.000000         51.0      54.000000   68.000000        50.000000   \n",
       "25%     101.750000         51.0     397.500000  113.000000        74.000000   \n",
       "50%     217.000000         51.0    1272.000000  159.000000       102.000000   \n",
       "75%     663.750000         51.0    6052.000000  281.000000       202.000000   \n",
       "max    3481.000000         51.0  151827.000000  307.000000      3721.000000   \n",
       "\n",
       "       sloc.dotnetresource   sloc.elisp  sloc.elixir   sloc.fish  sloc.forth  \\\n",
       "count             2.000000     4.000000     2.000000    5.000000         1.0   \n",
       "mean             69.500000   505.000000   527.500000  256.400000       146.0   \n",
       "std               6.363961   510.933133   491.439213  200.456479         NaN   \n",
       "min              65.000000   121.000000   180.000000  111.000000       146.0   \n",
       "25%              67.250000   257.500000   353.750000  112.000000       146.0   \n",
       "50%              69.500000   320.500000   527.500000  139.000000       146.0   \n",
       "75%              71.750000   568.000000   701.250000  355.000000       146.0   \n",
       "max              74.000000  1258.000000   875.000000  565.000000       146.0   \n",
       "\n",
       "       sloc.fortranlegacy  sloc.fortranmodern   sloc.glsl      sloc.go  \\\n",
       "count            4.000000            4.000000    2.000000     6.000000   \n",
       "mean          4875.250000          227.750000  262.000000   922.833333   \n",
       "std           8011.112797          181.943902    2.828427  1121.542049   \n",
       "min            109.000000           79.000000  260.000000    76.000000   \n",
       "25%            653.500000          143.500000  261.000000   167.500000   \n",
       "50%           1270.000000          169.500000  262.000000   434.500000   \n",
       "75%           5491.750000          253.750000  263.000000  1311.250000   \n",
       "max          16852.000000          493.000000  264.000000  2910.000000   \n",
       "\n",
       "       sloc.graphql  sloc.groovy  sloc.handlebars   sloc.happy  sloc.haskell  \\\n",
       "count      2.000000          1.0              1.0     5.000000           1.0   \n",
       "mean    2290.000000        406.0           4394.0   951.800000       68320.0   \n",
       "std     2920.351006          NaN              NaN  1019.502673           NaN   \n",
       "min      225.000000        406.0           4394.0    94.000000       68320.0   \n",
       "25%     1257.500000        406.0           4394.0   341.000000       68320.0   \n",
       "50%     2290.000000        406.0           4394.0   728.000000       68320.0   \n",
       "75%     3322.500000        406.0           4394.0   913.000000       68320.0   \n",
       "max     4355.000000        406.0           4394.0  2683.000000       68320.0   \n",
       "\n",
       "         sloc.hcl      sloc.html      sloc.java  sloc.javascript  \\\n",
       "count    3.000000     205.000000      13.000000     1.720000e+02   \n",
       "mean   517.000000    7391.482927   15073.615385     4.243221e+04   \n",
       "std    201.477046   26041.006349   38143.225616     1.548581e+05   \n",
       "min    308.000000      52.000000      75.000000     5.700000e+01   \n",
       "25%    420.500000     443.000000     181.000000     8.855000e+02   \n",
       "50%    533.000000    2113.000000    1738.000000     7.350000e+03   \n",
       "75%    621.500000    6055.000000    7881.000000     2.378075e+04   \n",
       "max    710.000000  326264.000000  139675.000000     1.772457e+06   \n",
       "\n",
       "            sloc.jsx     sloc.less  sloc.llvm     sloc.lua  sloc.makefile  \\\n",
       "count      11.000000     39.000000        1.0     3.000000     186.000000   \n",
       "mean    22161.000000   6424.384615      259.0  3201.333333     282.102151   \n",
       "std     41463.426101   5875.301178        NaN  2948.970046     472.931428   \n",
       "min       117.000000     60.000000      259.0  1027.000000      54.000000   \n",
       "25%      3188.500000   1370.500000      259.0  1523.000000     130.000000   \n",
       "50%      5425.000000   5253.000000      259.0  2019.000000     192.500000   \n",
       "75%     18402.000000  10389.500000      259.0  4288.500000     278.750000   \n",
       "max    141029.000000  24491.000000      259.0  6558.000000    5995.000000   \n",
       "\n",
       "       sloc.markdown    sloc.meson  sloc.moduledef  sloc.msbuild  \\\n",
       "count     249.000000      4.000000        6.000000      3.000000   \n",
       "mean     1789.345382   4007.000000      365.500000    131.666667   \n",
       "std      6537.408574   6596.600488      334.250056    110.192256   \n",
       "min        52.000000    222.000000      100.000000     50.000000   \n",
       "25%       157.000000    269.250000      146.000000     69.000000   \n",
       "50%       356.000000    977.500000      234.000000     88.000000   \n",
       "75%      1295.000000   4715.250000      464.500000    172.500000   \n",
       "max     86199.000000  13851.000000      967.000000    257.000000   \n",
       "\n",
       "       sloc.mustache  sloc.nix  sloc.objectivec  sloc.objectivecpp  \\\n",
       "count       4.000000       1.0        12.000000           4.000000   \n",
       "mean     2443.250000   13235.0     11871.833333        1178.500000   \n",
       "std      3608.514688       NaN     26458.326759         989.938214   \n",
       "min        90.000000   13235.0        82.000000          99.000000   \n",
       "25%       213.000000   13235.0       313.500000         495.750000   \n",
       "50%       967.000000   13235.0       690.000000        1177.000000   \n",
       "75%      3197.250000   13235.0      1867.500000        1859.750000   \n",
       "max      7749.000000   13235.0     80056.000000        2261.000000   \n",
       "\n",
       "         sloc.org  sloc.pascal     sloc.perl     sloc.php  sloc.prolog  \\\n",
       "count    3.000000     2.000000     17.000000     7.000000     4.000000   \n",
       "mean    79.000000  1268.000000   2422.941176  1938.285714   193.000000   \n",
       "std     26.286879  1585.333403   5472.642694  2882.479934   114.763525   \n",
       "min     60.000000   147.000000     62.000000    73.000000    63.000000   \n",
       "25%     64.000000   707.500000    175.000000   195.500000   118.500000   \n",
       "50%     68.000000  1268.000000    372.000000   352.000000   195.000000   \n",
       "75%     88.500000  1828.500000   1296.000000  2794.000000   269.500000   \n",
       "max    109.000000  2389.000000  21126.000000  7164.000000   319.000000   \n",
       "\n",
       "       sloc.protobuf   sloc.python  sloc.python_code  sloc.python_comments  \\\n",
       "count       8.000000  3.570000e+02      3.570000e+02            357.000000   \n",
       "mean     2504.000000  8.479750e+04      6.617975e+04           5850.470588   \n",
       "std      3928.761891  1.810153e+05      1.459953e+05          11041.551110   \n",
       "min        69.000000  5.100000e+01      4.200000e+01              0.000000   \n",
       "25%       123.750000  1.296100e+04      1.018200e+04            670.000000   \n",
       "50%       953.000000  3.544100e+04      2.672900e+04           2263.000000   \n",
       "75%      2432.000000  9.070700e+04      6.479900e+04           6381.000000   \n",
       "max     11390.000000  1.870620e+06      1.529822e+06          92639.000000   \n",
       "\n",
       "       sloc.python_files     sloc.qml       sloc.r  sloc.rakefile  \\\n",
       "count         357.000000     3.000000     2.000000            1.0   \n",
       "mean          368.016807  4451.333333  3966.000000          112.0   \n",
       "std           687.358676  4625.711008  3896.158364            NaN   \n",
       "min             1.000000    73.000000  1211.000000          112.0   \n",
       "25%            64.000000  2032.000000  2588.500000          112.0   \n",
       "50%           169.000000  3991.000000  3966.000000          112.0   \n",
       "75%           383.000000  6640.500000  5343.500000          112.0   \n",
       "max          7054.000000  9290.000000  6721.000000          112.0   \n",
       "\n",
       "       sloc.restructuredtext  sloc.rpmspecfile     sloc.ruby  sloc.rubyhtml  \\\n",
       "count             213.000000         42.000000      5.000000            1.0   \n",
       "mean             7331.868545        394.904762   3340.800000          496.0   \n",
       "std             17731.845895        682.609584   7003.378735            NaN   \n",
       "min                57.000000         50.000000     81.000000          496.0   \n",
       "25%               540.000000         91.750000    222.000000          496.0   \n",
       "50%              2534.000000        190.000000    230.000000          496.0   \n",
       "75%              6503.000000        320.500000    303.000000          496.0   \n",
       "max            193402.000000       3542.000000  15868.000000          496.0   \n",
       "\n",
       "          sloc.rust     sloc.sass  sloc.scala  sloc.scheme   sloc.scons  \\\n",
       "count      2.000000     43.000000      2.0000          1.0     3.000000   \n",
       "mean   17247.000000   6947.534884   1876.0000         74.0  1530.333333   \n",
       "std    16233.757482  12560.414359   2179.3031          NaN  1209.563695   \n",
       "min     5768.000000     53.000000    335.0000         74.0   262.000000   \n",
       "25%    11507.500000    772.000000   1105.5000         74.0   960.000000   \n",
       "50%    17247.000000   2196.000000   1876.0000         74.0  1658.000000   \n",
       "75%    22986.500000   6777.500000   2646.5000         74.0  2164.500000   \n",
       "max    28726.000000  73521.000000   3417.0000         74.0  2671.000000   \n",
       "\n",
       "            sloc.sh      sloc.sql  sloc.srecode  sloc.swift    sloc.swig  \\\n",
       "count    190.000000     30.000000           1.0    2.000000     4.000000   \n",
       "mean    1327.852632   6215.833333       61213.0   89.000000  1401.250000   \n",
       "std     6252.744126  15968.853696           NaN   46.669048  2584.795849   \n",
       "min       50.000000     50.000000       61213.0   56.000000    56.000000   \n",
       "25%      131.250000    201.250000       61213.0   72.500000    61.250000   \n",
       "50%      302.500000    607.000000       61213.0   89.000000   136.000000   \n",
       "75%      735.250000   3829.250000       61213.0  105.500000  1476.000000   \n",
       "max    81711.000000  63598.000000       61213.0  122.000000  5277.000000   \n",
       "\n",
       "       sloc.systemverilog    sloc.tcl      sloc.tex    sloc.toml  \\\n",
       "count            2.000000     2.00000     13.000000    13.000000   \n",
       "mean         10614.000000  5189.50000   2045.692308   206.307692   \n",
       "std          14813.887066  1320.16836   3052.281698   303.496948   \n",
       "min            139.000000  4256.00000     52.000000    53.000000   \n",
       "25%           5376.500000  4722.75000    203.000000    72.000000   \n",
       "50%          10614.000000  5189.50000    442.000000    94.000000   \n",
       "75%          15851.500000  5656.25000   3403.000000   130.000000   \n",
       "max          21089.000000  6123.00000  10079.000000  1077.000000   \n",
       "\n",
       "       sloc.typescript   sloc.vala     sloc.vb6  sloc.vimscript  \\\n",
       "count        19.000000    2.000000     3.000000        3.000000   \n",
       "mean      69898.578947  274.000000  1027.000000      227.333333   \n",
       "std      224881.815979  271.529004  1468.189702      116.980055   \n",
       "min         102.000000   82.000000   151.000000      139.000000   \n",
       "25%         823.500000  178.000000   179.500000      161.000000   \n",
       "50%        3719.000000  274.000000   208.000000      183.000000   \n",
       "75%       26915.500000  370.000000  1465.000000      271.500000   \n",
       "max      987568.000000  466.000000  2722.000000      360.000000   \n",
       "\n",
       "       sloc.visualstudioproject  sloc.visualstudiosolution      sloc.vue  \\\n",
       "count                  6.000000                   3.000000      6.000000   \n",
       "mean                1182.000000                 243.666667  15095.000000   \n",
       "std                 2078.414396                 150.141045  20422.909509   \n",
       "min                  225.000000                  84.000000    587.000000   \n",
       "25%                  250.250000                 174.500000   2332.750000   \n",
       "50%                  373.000000                 265.000000   5372.000000   \n",
       "75%                  462.750000                 323.500000  20169.000000   \n",
       "max                 5419.000000                 382.000000  52818.000000   \n",
       "\n",
       "           sloc.xml       sloc.xsl      sloc.yaml    sloc.zsh  \\\n",
       "count  1.140000e+02      19.000000     131.000000    4.000000   \n",
       "mean   8.306599e+04   12857.631579    4612.206107  191.250000   \n",
       "std    7.765389e+05   53810.665871   31778.957981  119.477683   \n",
       "min    5.200000e+01      50.000000      53.000000   57.000000   \n",
       "25%    2.002500e+02      74.500000      88.500000  108.000000   \n",
       "50%    7.045000e+02     272.000000     192.000000  202.000000   \n",
       "75%    3.317500e+03     578.500000     745.500000  285.250000   \n",
       "max    8.289791e+06  235042.000000  360943.000000  304.000000   \n",
       "\n",
       "       vcs.commit_count  vcs.committer_count  vcs.committer_percent_dist.10  \\\n",
       "count        343.000000           343.000000                     343.000000   \n",
       "mean        7397.574344           148.644315                       1.011662   \n",
       "std        14537.787904           378.710472                       0.152497   \n",
       "min          108.000000             1.000000                       1.000000   \n",
       "25%         1050.500000            21.000000                       1.000000   \n",
       "50%         2993.000000            64.000000                       1.000000   \n",
       "75%         7895.000000           147.000000                       1.000000   \n",
       "max       140877.000000          5168.000000                       3.000000   \n",
       "\n",
       "       vcs.committer_percent_dist.100  vcs.committer_percent_dist.20  \\\n",
       "count                      343.000000                     343.000000   \n",
       "mean                       148.644315                       1.125364   \n",
       "std                        378.710472                       0.506130   \n",
       "min                          1.000000                       1.000000   \n",
       "25%                         21.000000                       1.000000   \n",
       "50%                         64.000000                       1.000000   \n",
       "75%                        147.000000                       1.000000   \n",
       "max                       5168.000000                       7.000000   \n",
       "\n",
       "       vcs.committer_percent_dist.30  vcs.committer_percent_dist.40  \\\n",
       "count                     343.000000                     343.000000   \n",
       "mean                        1.309038                       1.638484   \n",
       "std                         0.935402                       1.586835   \n",
       "min                         1.000000                       1.000000   \n",
       "25%                         1.000000                       1.000000   \n",
       "50%                         1.000000                       1.000000   \n",
       "75%                         1.000000                       2.000000   \n",
       "max                        12.000000                      19.000000   \n",
       "\n",
       "       vcs.committer_percent_dist.50  vcs.committer_percent_dist.60  \\\n",
       "count                     343.000000                     343.000000   \n",
       "mean                        2.177843                       3.020408   \n",
       "std                         2.654661                       4.521184   \n",
       "min                         1.000000                       1.000000   \n",
       "25%                         1.000000                       1.000000   \n",
       "50%                         1.000000                       2.000000   \n",
       "75%                         2.000000                       3.000000   \n",
       "max                        29.000000                      42.000000   \n",
       "\n",
       "       vcs.committer_percent_dist.70  vcs.committer_percent_dist.80  \\\n",
       "count                     343.000000                     343.000000   \n",
       "mean                        4.586006                       8.332362   \n",
       "std                         8.574274                      22.217697   \n",
       "min                         1.000000                       1.000000   \n",
       "25%                         1.000000                       2.000000   \n",
       "50%                         2.000000                       3.000000   \n",
       "75%                         4.000000                       8.000000   \n",
       "max                        88.000000                     314.000000   \n",
       "\n",
       "       vcs.committer_percent_dist.90  vcs.committer_percent_dist.95  \\\n",
       "count                     343.000000                     343.000000   \n",
       "mean                       21.104956                      42.781341   \n",
       "std                        79.340708                     167.431094   \n",
       "min                         1.000000                       1.000000   \n",
       "25%                         2.000000                       4.000000   \n",
       "50%                         7.000000                      12.000000   \n",
       "75%                        17.000000                      35.000000   \n",
       "max                      1298.000000                    2770.000000   \n",
       "\n",
       "       vcs.committer_percent_dist.99  vcs.committer_top_5.0  \\\n",
       "count                     343.000000             343.000000   \n",
       "mean                      101.443149               0.554508   \n",
       "std                       312.310474               0.260920   \n",
       "min                         1.000000               0.049200   \n",
       "25%                        10.000000               0.352400   \n",
       "50%                        32.000000               0.524600   \n",
       "75%                        94.500000               0.788200   \n",
       "max                      4689.000000               1.000000   \n",
       "\n",
       "       vcs.committer_top_5.1  vcs.committer_top_5.2  vcs.committer_top_5.3  \\\n",
       "count             340.000000             337.000000             332.000000   \n",
       "mean                0.144576               0.068397               0.042494   \n",
       "std                 0.105307               0.054320               0.036107   \n",
       "min                 0.000600               0.000300               0.000300   \n",
       "25%                 0.056200               0.019800               0.012200   \n",
       "50%                 0.129950               0.055900               0.033900   \n",
       "75%                 0.201600               0.110300               0.063250   \n",
       "max                 0.481600               0.274800               0.170200   \n",
       "\n",
       "       vcs.committer_top_5.4  vcs.minor_committer_counts.1  \\\n",
       "count             328.000000                    343.000000   \n",
       "mean                0.028759                     65.373178   \n",
       "std                 0.024929                    190.081409   \n",
       "min                 0.000300                      0.000000   \n",
       "25%                 0.008150                      8.000000   \n",
       "50%                 0.021500                     25.000000   \n",
       "75%                 0.045850                     65.500000   \n",
       "max                 0.111900                   2999.000000   \n",
       "\n",
       "       vcs.minor_committer_counts.2  vcs.minor_committer_counts.3  \\\n",
       "count                    343.000000                    343.000000   \n",
       "mean                      87.807580                     98.973761   \n",
       "std                      249.249853                    277.846200   \n",
       "min                        0.000000                      0.000000   \n",
       "25%                       11.000000                     12.500000   \n",
       "50%                       32.000000                     37.000000   \n",
       "75%                       90.000000                     98.000000   \n",
       "max                     3817.000000                   4193.000000   \n",
       "\n",
       "       vcs.minor_committer_counts.4  vcs.minor_committer_counts.5  \n",
       "count                    343.000000                    343.000000  \n",
       "mean                     106.346939                    111.198251  \n",
       "std                      296.437856                    309.182881  \n",
       "min                        0.000000                      0.000000  \n",
       "25%                       13.000000                     14.000000  \n",
       "50%                       38.000000                     41.000000  \n",
       "75%                      103.000000                    106.500000  \n",
       "max                     4415.000000                   4577.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apa_df.describe()\n",
    "#spot checking the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#csv_df=apa_df.describe()\n",
    "\n",
    "#from IPython.display import FileLink, FileLinks\n",
    "#SAVE_PATH = './saved_data'\n",
    "#from boltons.fileutils import mkdir_p\n",
    "#mkdir_p(SAVE_PATH)\n",
    "\n",
    "#csv_df.to_csv(SAVE_PATH + '/summary.csv', index=False)\n",
    "# csv_df.to_excel('/path/to/data.xlsx', index=False)\n",
    "\n",
    "#FileLinks(SAVE_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "apa_df.columns = apa_df.columns.str.lower().str.replace('.', '_')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>arch_compat_min_py2</th>\n",
       "      <th>arch_compat_min_py3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>355</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>356</td>\n",
       "      <td>2.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>357</td>\n",
       "      <td>2.6</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>358</td>\n",
       "      <td>2.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>359</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>360 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     arch_compat_min_py2  arch_compat_min_py3\n",
       "0                    NaN                  3.5\n",
       "1                    2.7                  NaN\n",
       "2                    2.7                  3.1\n",
       "3                    2.7                  NaN\n",
       "4                    NaN                  3.6\n",
       "..                   ...                  ...\n",
       "355                  NaN                  3.5\n",
       "356                  2.7                  NaN\n",
       "357                  2.6                  NaN\n",
       "358                  2.3                  NaN\n",
       "359                  NaN                  NaN\n",
       "\n",
       "[360 rows x 2 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apa_df[['arch_compat_min_py2', 'arch_compat_min_py3']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def py23_compat(py2, py3):\n",
    "    if not pd.isnull(py2) and not pd.isnull(py3):\n",
    "        return 'py23'\n",
    "    if pd.isnull(py2):\n",
    "        return 'py3'\n",
    "    return 'py2'\n",
    "\n",
    "apa_df['py23_compat'] = apa_df[['arch_compat_min_py2','arch_compat_min_py3']].apply(lambda x: py23_compat(*x), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       879.0\n",
       "1      2532.0\n",
       "2      3058.0\n",
       "3      4592.0\n",
       "4       593.0\n",
       "        ...  \n",
       "355    4103.0\n",
       "356    2363.0\n",
       "357    4524.0\n",
       "358       NaN\n",
       "359       NaN\n",
       "Name: age_commit, Length: 360, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apa_df['vcs_first_commit']  = pd.to_datetime(apa_df['vcs_first_commit'])\n",
    "apa_df['vcs_first_commit'] = pd.to_datetime(apa_df['vcs_first_commit']).dt.date\n",
    "apa_df['vcs_latest_commit']  = pd.to_datetime(apa_df['vcs_latest_commit'])\n",
    "apa_df['vcs_latest_commit'] = pd.to_datetime(apa_df['vcs_latest_commit']).dt.date\n",
    "\n",
    "apa_df['age_commit'] =   pd.to_datetime(apa_df.vcs_latest_commit)-pd.to_datetime(apa_df.vcs_first_commit)\n",
    "apa_df['age_commit'] / pd.Timedelta(1, unit='d')\n",
    "apa_df['age_commit'].astype('timedelta64[D]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "apa_df['age_commit'] = pd.to_numeric(apa_df['age_commit'].dt.days, downcast='integer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1013908.0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age_df = apa_df.dropna(subset=['age_commit'])\n",
    "age_df['age_commit'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x72 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_email = '''\n",
    "light orange: #FFC800\n",
    "med turq: #66e5ff\n",
    "blue: #0588BA\n",
    "dark orange: #ED9E46\n",
    "dark rich orange: #eb8717\n",
    "dark blue: #046083\n",
    "'''\n",
    "# bgcolor / medium blue: #45AFDC\n",
    "# medium-dark blue: #1D98C7\n",
    "\n",
    "def _parse_colors(text):\n",
    "    return [x.split(':')[-1].strip() for x in text.splitlines() if x.strip()]\n",
    "\n",
    "COLORS = _parse_colors(_email)\n",
    "PALETTE = sns.color_palette(COLORS)\n",
    "sns.palplot(PALETTE)\n",
    "\n",
    "_alt_colors = '''\n",
    "dark orange: #ED9E46\n",
    "blue: #0588BA\n",
    "light orange: #FFC800\n",
    "med turq: #66e5ff\n",
    "dark rich orange: #eb8717\n",
    "dark blue: #046083\n",
    "'''\n",
    "ALT_COLORS = _parse_colors(_alt_colors)\n",
    "\n",
    "def m_swarmplot(*a, **kw):\n",
    "    kw.setdefault('palette', PALETTE)\n",
    "    kw.setdefault('size', 14)\n",
    "    ret = sns.swarmplot(*a, **kw)\n",
    "    ret.set_facecolor('#00000000')\n",
    "    ret.set_facecolor('#45AFDC00')\n",
    "    return ret\n",
    "\n",
    "def m_pieplot(df, *a, **kw):\n",
    "    kw.setdefault('y', 'name')\n",
    "    kw.setdefault('counterclock', True)\n",
    "    kw.setdefault('legend', False)\n",
    "    kw.setdefault('autopct', '%1.0f%%')\n",
    "    kw.setdefault('pctdistance', 1.1)\n",
    "    kw.setdefault('labeldistance', 1.25)\n",
    "    kw.setdefault('radius', 1.2)\n",
    "    kw.setdefault('figsize', (8, 8))\n",
    "    kw.setdefault('colors', ALT_COLORS[::-1])\n",
    "    kw.setdefault('textprops', {}).setdefault('fontsize', 20)\n",
    "    pie = df.plot.pie(*a, **kw)\n",
    "    return pie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>arch_compat_min_py2</th>\n",
       "      <th>arch_compat_min_py3</th>\n",
       "      <th>arch_dep_concurrency</th>\n",
       "      <th>arch_dep_gui_framework</th>\n",
       "      <th>arch_dep_server_framework</th>\n",
       "      <th>arch_pkg_container</th>\n",
       "      <th>arch_pkg_freezer</th>\n",
       "      <th>arch_type</th>\n",
       "      <th>gh_forks</th>\n",
       "      <th>gh_has_wiki</th>\n",
       "      <th>gh_license</th>\n",
       "      <th>gh_open_issues</th>\n",
       "      <th>gh_size</th>\n",
       "      <th>gh_stars</th>\n",
       "      <th>gh_watchers</th>\n",
       "      <th>license_hereditary</th>\n",
       "      <th>license_license</th>\n",
       "      <th>license_license_group</th>\n",
       "      <th>sloc_ratio_other</th>\n",
       "      <th>sloc_ratio_autoconf</th>\n",
       "      <th>sloc_ratio_c</th>\n",
       "      <th>sloc_ratio_coffeescript</th>\n",
       "      <th>sloc_ratio_coq</th>\n",
       "      <th>sloc_ratio_cpp</th>\n",
       "      <th>sloc_ratio_css</th>\n",
       "      <th>sloc_ratio_dockerfile</th>\n",
       "      <th>sloc_ratio_go</th>\n",
       "      <th>sloc_ratio_haskell</th>\n",
       "      <th>sloc_ratio_html</th>\n",
       "      <th>sloc_ratio_java</th>\n",
       "      <th>sloc_ratio_javascript</th>\n",
       "      <th>sloc_ratio_jsx</th>\n",
       "      <th>sloc_ratio_less</th>\n",
       "      <th>sloc_ratio_lua</th>\n",
       "      <th>sloc_ratio_markdown</th>\n",
       "      <th>sloc_ratio_meson</th>\n",
       "      <th>sloc_ratio_objectivec</th>\n",
       "      <th>sloc_ratio_python</th>\n",
       "      <th>sloc_ratio_qml</th>\n",
       "      <th>sloc_ratio_restructuredtext</th>\n",
       "      <th>sloc_ratio_rust</th>\n",
       "      <th>sloc_ratio_sass</th>\n",
       "      <th>sloc_ratio_sh</th>\n",
       "      <th>sloc_ratio_sql</th>\n",
       "      <th>sloc_ratio_systemverilog</th>\n",
       "      <th>sloc_ratio_tex</th>\n",
       "      <th>sloc_ratio_typescript</th>\n",
       "      <th>sloc_ratio_vue</th>\n",
       "      <th>sloc_ratio_xml</th>\n",
       "      <th>sloc_ratio_xsl</th>\n",
       "      <th>sloc_ratio_yaml</th>\n",
       "      <th>sloc_total_blanks</th>\n",
       "      <th>sloc_total_code</th>\n",
       "      <th>sloc_total_comments</th>\n",
       "      <th>sloc_total_dirs</th>\n",
       "      <th>sloc_total_files</th>\n",
       "      <th>sloc_total_lines</th>\n",
       "      <th>sloc_actionscript</th>\n",
       "      <th>sloc_asp</th>\n",
       "      <th>sloc_assembly</th>\n",
       "      <th>sloc_autoconf</th>\n",
       "      <th>sloc_automake</th>\n",
       "      <th>sloc_bash</th>\n",
       "      <th>sloc_batch</th>\n",
       "      <th>sloc_c</th>\n",
       "      <th>sloc_c_code</th>\n",
       "      <th>sloc_c_comments</th>\n",
       "      <th>sloc_c_files</th>\n",
       "      <th>sloc_cabal</th>\n",
       "      <th>sloc_cmake</th>\n",
       "      <th>sloc_coffeescript</th>\n",
       "      <th>sloc_coq</th>\n",
       "      <th>sloc_cpp</th>\n",
       "      <th>sloc_cpp_code</th>\n",
       "      <th>sloc_cpp_comments</th>\n",
       "      <th>sloc_cpp_files</th>\n",
       "      <th>sloc_csharp</th>\n",
       "      <th>sloc_cshell</th>\n",
       "      <th>sloc_css</th>\n",
       "      <th>sloc_d</th>\n",
       "      <th>sloc_dockerfile</th>\n",
       "      <th>sloc_dotnetresource</th>\n",
       "      <th>sloc_elisp</th>\n",
       "      <th>sloc_elixir</th>\n",
       "      <th>sloc_fish</th>\n",
       "      <th>sloc_forth</th>\n",
       "      <th>sloc_fortranlegacy</th>\n",
       "      <th>sloc_fortranmodern</th>\n",
       "      <th>sloc_glsl</th>\n",
       "      <th>sloc_go</th>\n",
       "      <th>sloc_graphql</th>\n",
       "      <th>sloc_groovy</th>\n",
       "      <th>...</th>\n",
       "      <th>sloc_haskell</th>\n",
       "      <th>sloc_hcl</th>\n",
       "      <th>sloc_html</th>\n",
       "      <th>sloc_java</th>\n",
       "      <th>sloc_javascript</th>\n",
       "      <th>sloc_jsx</th>\n",
       "      <th>sloc_less</th>\n",
       "      <th>sloc_llvm</th>\n",
       "      <th>sloc_lua</th>\n",
       "      <th>sloc_makefile</th>\n",
       "      <th>sloc_markdown</th>\n",
       "      <th>sloc_meson</th>\n",
       "      <th>sloc_moduledef</th>\n",
       "      <th>sloc_msbuild</th>\n",
       "      <th>sloc_mustache</th>\n",
       "      <th>sloc_nix</th>\n",
       "      <th>sloc_objectivec</th>\n",
       "      <th>sloc_objectivecpp</th>\n",
       "      <th>sloc_org</th>\n",
       "      <th>sloc_pascal</th>\n",
       "      <th>sloc_perl</th>\n",
       "      <th>sloc_php</th>\n",
       "      <th>sloc_prolog</th>\n",
       "      <th>sloc_protobuf</th>\n",
       "      <th>sloc_python</th>\n",
       "      <th>sloc_python_code</th>\n",
       "      <th>sloc_python_comments</th>\n",
       "      <th>sloc_python_files</th>\n",
       "      <th>sloc_qml</th>\n",
       "      <th>sloc_r</th>\n",
       "      <th>sloc_rakefile</th>\n",
       "      <th>sloc_restructuredtext</th>\n",
       "      <th>sloc_rpmspecfile</th>\n",
       "      <th>sloc_ruby</th>\n",
       "      <th>sloc_rubyhtml</th>\n",
       "      <th>sloc_rust</th>\n",
       "      <th>sloc_sass</th>\n",
       "      <th>sloc_scala</th>\n",
       "      <th>sloc_scheme</th>\n",
       "      <th>sloc_scons</th>\n",
       "      <th>sloc_sh</th>\n",
       "      <th>sloc_sql</th>\n",
       "      <th>sloc_srecode</th>\n",
       "      <th>sloc_swift</th>\n",
       "      <th>sloc_swig</th>\n",
       "      <th>sloc_systemverilog</th>\n",
       "      <th>sloc_tcl</th>\n",
       "      <th>sloc_tex</th>\n",
       "      <th>sloc_toml</th>\n",
       "      <th>sloc_typescript</th>\n",
       "      <th>sloc_vala</th>\n",
       "      <th>sloc_vb6</th>\n",
       "      <th>sloc_vimscript</th>\n",
       "      <th>sloc_visualstudioproject</th>\n",
       "      <th>sloc_visualstudiosolution</th>\n",
       "      <th>sloc_vue</th>\n",
       "      <th>sloc_xml</th>\n",
       "      <th>sloc_xsl</th>\n",
       "      <th>sloc_yaml</th>\n",
       "      <th>sloc_zsh</th>\n",
       "      <th>topic_primary</th>\n",
       "      <th>topic_primary_fq</th>\n",
       "      <th>topic_secondary</th>\n",
       "      <th>topic_secondary_fq</th>\n",
       "      <th>vcs_commit_count</th>\n",
       "      <th>vcs_committer_count</th>\n",
       "      <th>vcs_committer_percent_dist_10</th>\n",
       "      <th>vcs_committer_percent_dist_100</th>\n",
       "      <th>vcs_committer_percent_dist_20</th>\n",
       "      <th>vcs_committer_percent_dist_30</th>\n",
       "      <th>vcs_committer_percent_dist_40</th>\n",
       "      <th>vcs_committer_percent_dist_50</th>\n",
       "      <th>vcs_committer_percent_dist_60</th>\n",
       "      <th>vcs_committer_percent_dist_70</th>\n",
       "      <th>vcs_committer_percent_dist_80</th>\n",
       "      <th>vcs_committer_percent_dist_90</th>\n",
       "      <th>vcs_committer_percent_dist_95</th>\n",
       "      <th>vcs_committer_percent_dist_99</th>\n",
       "      <th>vcs_committer_top_5_0</th>\n",
       "      <th>vcs_committer_top_5_1</th>\n",
       "      <th>vcs_committer_top_5_2</th>\n",
       "      <th>vcs_committer_top_5_3</th>\n",
       "      <th>vcs_committer_top_5_4</th>\n",
       "      <th>vcs_first_commit</th>\n",
       "      <th>vcs_latest_commit</th>\n",
       "      <th>vcs_minor_committer_counts_1</th>\n",
       "      <th>vcs_minor_committer_counts_2</th>\n",
       "      <th>vcs_minor_committer_counts_3</th>\n",
       "      <th>vcs_minor_committer_counts_4</th>\n",
       "      <th>vcs_minor_committer_counts_5</th>\n",
       "      <th>vcs_vcs_name</th>\n",
       "      <th>py23_compat</th>\n",
       "      <th>age_commit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>archivebox</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>docker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>desktop</td>\n",
       "      <td>306.0</td>\n",
       "      <td>True</td>\n",
       "      <td>MIT License</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3841.0</td>\n",
       "      <td>5450.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>False</td>\n",
       "      <td>MIT</td>\n",
       "      <td>MIT</td>\n",
       "      <td>0.20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.64</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>512.0</td>\n",
       "      <td>3458.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>4203.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>674.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>314.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2690.0</td>\n",
       "      <td>2031.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>233.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>organization</td>\n",
       "      <td>organization</td>\n",
       "      <td>943.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.9046</td>\n",
       "      <td>0.0085</td>\n",
       "      <td>0.0053</td>\n",
       "      <td>0.0053</td>\n",
       "      <td>0.0053</td>\n",
       "      <td>2017-05-05</td>\n",
       "      <td>2019-10-01</td>\n",
       "      <td>21.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>git</td>\n",
       "      <td>py3</td>\n",
       "      <td>879.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>django</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>server</td>\n",
       "      <td>69.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Other</td>\n",
       "      <td>100.0</td>\n",
       "      <td>36631.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>True</td>\n",
       "      <td>AGPL</td>\n",
       "      <td>AGPL</td>\n",
       "      <td>0.69</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13746.0</td>\n",
       "      <td>277514.0</td>\n",
       "      <td>8613.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>1128.0</td>\n",
       "      <td>299873.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1411.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>243.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10009.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92.0</td>\n",
       "      <td>2160.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92983.0</td>\n",
       "      <td>75579.0</td>\n",
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       "      <td>485.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>133.0</td>\n",
       "      <td>970.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7975.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>752.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>organization</td>\n",
       "      <td>organization</td>\n",
       "      <td>3917.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.2339</td>\n",
       "      <td>0.1698</td>\n",
       "      <td>0.1557</td>\n",
       "      <td>0.1021</td>\n",
       "      <td>0.0968</td>\n",
       "      <td>2012-09-15</td>\n",
       "      <td>2019-08-22</td>\n",
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       "      <td>27.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>git</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
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       "      <td>2.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>desktop</td>\n",
       "      <td>8.0</td>\n",
       "      <td>True</td>\n",
       "      <td>GNU General Public License v2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>768.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>True</td>\n",
       "      <td>GPL v2</td>\n",
       "      <td>GPL</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.99</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1355.0</td>\n",
       "      <td>3822.0</td>\n",
       "      <td>638.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>5815.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
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       "      <td>511.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.9961</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2010-03-19</td>\n",
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       "      <td>2.0</td>\n",
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       "    <tr>\n",
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       "      <td>zope</td>\n",
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       "      <td>py2app</td>\n",
       "      <td>server</td>\n",
       "      <td>198.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Other</td>\n",
       "      <td>18.0</td>\n",
       "      <td>61758.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>72.0</td>\n",
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       "      <td>Other</td>\n",
       "      <td>0.14</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63864.0</td>\n",
       "      <td>48382.0</td>\n",
       "      <td>4775.0</td>\n",
       "      <td>272.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>295.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>450.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8741.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.2333</td>\n",
       "      <td>0.2116</td>\n",
       "      <td>0.1679</td>\n",
       "      <td>0.1403</td>\n",
       "      <td>0.0469</td>\n",
       "      <td>2006-11-28</td>\n",
       "      <td>2019-06-25</td>\n",
       "      <td>34.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>git</td>\n",
       "      <td>py2</td>\n",
       "      <td>4592.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>elixire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.6</td>\n",
       "      <td>asyncio</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>docker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>server</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>AGPL</td>\n",
       "      <td>AGPL</td>\n",
       "      <td>0.06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.94</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2689.0</td>\n",
       "      <td>8070.0</td>\n",
       "      <td>883.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>11642.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>310.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10993.0</td>\n",
       "      <td>7519.0</td>\n",
       "      <td>839.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>208.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1588.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.5088</td>\n",
       "      <td>0.2311</td>\n",
       "      <td>0.1738</td>\n",
       "      <td>0.0573</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>2018-02-05</td>\n",
       "      <td>2019-09-21</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>git</td>\n",
       "      <td>py3</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 188 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            name  arch_compat_min_py2  arch_compat_min_py3  \\\n",
       "0     archivebox                  NaN                  3.5   \n",
       "1  archivematica                  2.7                  NaN   \n",
       "2          canto                  2.7                  3.1   \n",
       "3         deluge                  2.7                  NaN   \n",
       "4        elixire                  NaN                  3.6   \n",
       "\n",
       "  arch_dep_concurrency arch_dep_gui_framework arch_dep_server_framework  \\\n",
       "0                  NaN                    NaN                       NaN   \n",
       "1                  NaN                    NaN                    django   \n",
       "2                  NaN                    NaN                       NaN   \n",
       "3              twisted                    NaN                      zope   \n",
       "4              asyncio                    NaN                       NaN   \n",
       "\n",
       "  arch_pkg_container arch_pkg_freezer arch_type  gh_forks gh_has_wiki  \\\n",
       "0             docker              NaN   desktop     306.0        True   \n",
       "1                NaN              NaN    server      69.0       False   \n",
       "2                NaN              NaN   desktop       8.0        True   \n",
       "3                NaN           py2app    server     198.0       False   \n",
       "4             docker              NaN    server       NaN         NaN   \n",
       "\n",
       "                        gh_license  gh_open_issues  gh_size  gh_stars  \\\n",
       "0                      MIT License            64.0   3841.0    5450.0   \n",
       "1                            Other           100.0  36631.0     179.0   \n",
       "2  GNU General Public License v2.0             6.0    768.0     128.0   \n",
       "3                            Other            18.0  61758.0     730.0   \n",
       "4                              NaN             NaN      NaN       NaN   \n",
       "\n",
       "   gh_watchers license_hereditary license_license license_license_group  \\\n",
       "0        106.0              False             MIT                   MIT   \n",
       "1         39.0               True            AGPL                  AGPL   \n",
       "2          6.0               True          GPL v2                   GPL   \n",
       "3         72.0                NaN           Other                 Other   \n",
       "4          NaN               True            AGPL                  AGPL   \n",
       "\n",
       "   sloc_ratio_other  sloc_ratio_autoconf  sloc_ratio_c  \\\n",
       "0              0.20                  NaN           NaN   \n",
       "1              0.69                  NaN           NaN   \n",
       "2              0.01                  NaN           NaN   \n",
       "3              0.14                  NaN           NaN   \n",
       "4              0.06                  NaN           NaN   \n",
       "\n",
       "   sloc_ratio_coffeescript  sloc_ratio_coq  sloc_ratio_cpp  sloc_ratio_css  \\\n",
       "0                      NaN             NaN             NaN             NaN   \n",
       "1                      NaN             NaN             NaN             NaN   \n",
       "2                      NaN             NaN             NaN             NaN   \n",
       "3                      NaN             NaN             NaN             NaN   \n",
       "4                      NaN             NaN             NaN             NaN   \n",
       "\n",
       "   sloc_ratio_dockerfile  sloc_ratio_go  sloc_ratio_haskell  sloc_ratio_html  \\\n",
       "0                    NaN            NaN                 NaN             0.16   \n",
       "1                    NaN            NaN                 NaN              NaN   \n",
       "2                    NaN            NaN                 NaN              NaN   \n",
       "3                    NaN            NaN                 NaN              NaN   \n",
       "4                    NaN            NaN                 NaN              NaN   \n",
       "\n",
       "   sloc_ratio_java  sloc_ratio_javascript  sloc_ratio_jsx  sloc_ratio_less  \\\n",
       "0              NaN                    NaN             NaN              NaN   \n",
       "1              NaN                    NaN             NaN              NaN   \n",
       "2              NaN                    NaN             NaN              NaN   \n",
       "3              NaN                   0.46             NaN              NaN   \n",
       "4              NaN                    NaN             NaN              NaN   \n",
       "\n",
       "   sloc_ratio_lua  sloc_ratio_markdown  sloc_ratio_meson  \\\n",
       "0             NaN                  NaN               NaN   \n",
       "1             NaN                  NaN               NaN   \n",
       "2             NaN                  NaN               NaN   \n",
       "3             NaN                  NaN               NaN   \n",
       "4             NaN                  NaN               NaN   \n",
       "\n",
       "   sloc_ratio_objectivec  sloc_ratio_python  sloc_ratio_qml  \\\n",
       "0                    NaN               0.64             NaN   \n",
       "1                    NaN               0.31             NaN   \n",
       "2                    NaN               0.99             NaN   \n",
       "3                    NaN               0.40             NaN   \n",
       "4                    NaN               0.94             NaN   \n",
       "\n",
       "   sloc_ratio_restructuredtext  sloc_ratio_rust  sloc_ratio_sass  \\\n",
       "0                          NaN              NaN              NaN   \n",
       "1                          NaN              NaN              NaN   \n",
       "2                          NaN              NaN              NaN   \n",
       "3                          NaN              NaN              NaN   \n",
       "4                          NaN              NaN              NaN   \n",
       "\n",
       "   sloc_ratio_sh  sloc_ratio_sql  sloc_ratio_systemverilog  sloc_ratio_tex  \\\n",
       "0            NaN             NaN                       NaN             NaN   \n",
       "1            NaN             NaN                       NaN             NaN   \n",
       "2            NaN             NaN                       NaN             NaN   \n",
       "3            NaN             NaN                       NaN             NaN   \n",
       "4            NaN             NaN                       NaN             NaN   \n",
       "\n",
       "   sloc_ratio_typescript  sloc_ratio_vue  sloc_ratio_xml  sloc_ratio_xsl  \\\n",
       "0                    NaN             NaN             NaN             NaN   \n",
       "1                    NaN             NaN             NaN             NaN   \n",
       "2                    NaN             NaN             NaN             NaN   \n",
       "3                    NaN             NaN             NaN             NaN   \n",
       "4                    NaN             NaN             NaN             NaN   \n",
       "\n",
       "   sloc_ratio_yaml  sloc_total_blanks  sloc_total_code  sloc_total_comments  \\\n",
       "0              NaN              512.0           3458.0                233.0   \n",
       "1              NaN            13746.0         277514.0               8613.0   \n",
       "2              NaN             1355.0           3822.0                638.0   \n",
       "3              NaN            27448.0         124420.0               8151.0   \n",
       "4              NaN             2689.0           8070.0                883.0   \n",
       "\n",
       "   sloc_total_dirs  sloc_total_files  sloc_total_lines  sloc_actionscript  \\\n",
       "0             87.0             156.0            4203.0                NaN   \n",
       "1            245.0            1128.0          299873.0                NaN   \n",
       "2             23.0              61.0            5815.0                NaN   \n",
       "3            238.0            2054.0          160019.0                NaN   \n",
       "4             42.0             157.0           11642.0                NaN   \n",
       "\n",
       "   sloc_asp  sloc_assembly  sloc_autoconf  sloc_automake  sloc_bash  \\\n",
       "0       NaN            NaN            NaN            NaN        NaN   \n",
       "1       NaN            NaN          119.0            NaN        NaN   \n",
       "2       NaN            NaN            NaN            NaN        NaN   \n",
       "3       NaN            NaN          141.0            NaN        NaN   \n",
       "4       NaN            NaN            NaN            NaN        NaN   \n",
       "\n",
       "   sloc_batch  sloc_c  sloc_c_code  sloc_c_comments  sloc_c_files  sloc_cabal  \\\n",
       "0         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "1         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "2         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "3         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "4         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "\n",
       "   sloc_cmake  sloc_coffeescript  sloc_coq  sloc_cpp  sloc_cpp_code  \\\n",
       "0         NaN                NaN       NaN       NaN            NaN   \n",
       "1         NaN                NaN       NaN       NaN            NaN   \n",
       "2         NaN                NaN       NaN       NaN            NaN   \n",
       "3         NaN                NaN       NaN       NaN            NaN   \n",
       "4         NaN                NaN       NaN       NaN            NaN   \n",
       "\n",
       "   sloc_cpp_comments  sloc_cpp_files  sloc_csharp  sloc_cshell  sloc_css  \\\n",
       "0                NaN             NaN          NaN          NaN       NaN   \n",
       "1                NaN             NaN          NaN          NaN    1411.0   \n",
       "2                NaN             NaN          NaN          NaN       NaN   \n",
       "3                NaN             NaN          NaN          NaN   13600.0   \n",
       "4                NaN             NaN          NaN          NaN       NaN   \n",
       "\n",
       "   sloc_d  sloc_dockerfile  sloc_dotnetresource  sloc_elisp  sloc_elixir  \\\n",
       "0     NaN             74.0                  NaN         NaN          NaN   \n",
       "1     NaN            243.0                  NaN         NaN          NaN   \n",
       "2     NaN              NaN                  NaN         NaN          NaN   \n",
       "3     NaN              NaN                  NaN         NaN          NaN   \n",
       "4     NaN              NaN                  NaN         NaN          NaN   \n",
       "\n",
       "   sloc_fish  sloc_forth  sloc_fortranlegacy  sloc_fortranmodern  sloc_glsl  \\\n",
       "0        NaN         NaN                 NaN                 NaN        NaN   \n",
       "1        NaN         NaN                 NaN                 NaN        NaN   \n",
       "2        NaN         NaN                 NaN                 NaN        NaN   \n",
       "3        NaN         NaN                 NaN                 NaN        NaN   \n",
       "4        NaN         NaN                 NaN                 NaN        NaN   \n",
       "\n",
       "   sloc_go  sloc_graphql  sloc_groovy  ...  sloc_haskell  sloc_hcl  sloc_html  \\\n",
       "0      NaN           NaN          NaN  ...           NaN       NaN      674.0   \n",
       "1      NaN           NaN          NaN  ...           NaN       NaN     9240.0   \n",
       "2      NaN           NaN          NaN  ...           NaN       NaN        NaN   \n",
       "3      NaN           NaN          NaN  ...           NaN       NaN      209.0   \n",
       "4      NaN           NaN          NaN  ...           NaN       NaN        NaN   \n",
       "\n",
       "   sloc_java  sloc_javascript  sloc_jsx  sloc_less  sloc_llvm  sloc_lua  \\\n",
       "0        NaN            168.0       NaN        NaN        NaN       NaN   \n",
       "1        NaN          10009.0       NaN        NaN        NaN       NaN   \n",
       "2        NaN              NaN       NaN        NaN        NaN       NaN   \n",
       "3        NaN          73373.0       NaN        NaN        NaN       NaN   \n",
       "4        NaN              NaN       NaN        NaN        NaN       NaN   \n",
       "\n",
       "   sloc_makefile  sloc_markdown  sloc_meson  sloc_moduledef  sloc_msbuild  \\\n",
       "0            NaN          314.0         NaN             NaN           NaN   \n",
       "1           92.0         2160.0         NaN             NaN           NaN   \n",
       "2            NaN            NaN         NaN             NaN           NaN   \n",
       "3            NaN         1658.0         NaN             NaN           NaN   \n",
       "4            NaN          310.0         NaN             NaN           NaN   \n",
       "\n",
       "   sloc_mustache  sloc_nix  sloc_objectivec  sloc_objectivecpp  sloc_org  \\\n",
       "0            NaN       NaN              NaN                NaN       NaN   \n",
       "1            NaN       NaN              NaN                NaN       NaN   \n",
       "2            NaN       NaN              NaN                NaN       NaN   \n",
       "3            NaN       NaN              NaN                NaN       NaN   \n",
       "4            NaN       NaN              NaN                NaN       NaN   \n",
       "\n",
       "   sloc_pascal  sloc_perl  sloc_php  sloc_prolog  sloc_protobuf  sloc_python  \\\n",
       "0          NaN        NaN       NaN          NaN            NaN       2690.0   \n",
       "1          NaN        NaN       NaN          NaN            NaN      92983.0   \n",
       "2          NaN        NaN       NaN          NaN            NaN       5767.0   \n",
       "3          NaN        NaN       NaN          NaN            NaN      63864.0   \n",
       "4          NaN        NaN       NaN          NaN            NaN      10993.0   \n",
       "\n",
       "   sloc_python_code  sloc_python_comments  sloc_python_files  sloc_qml  \\\n",
       "0            2031.0                 188.0               11.0       NaN   \n",
       "1           75579.0                7116.0              485.0       NaN   \n",
       "2            3774.0                 638.0               29.0       NaN   \n",
       "3           48382.0                4775.0              272.0       NaN   \n",
       "4            7519.0                 839.0               98.0       NaN   \n",
       "\n",
       "   sloc_r  sloc_rakefile  sloc_restructuredtext  sloc_rpmspecfile  sloc_ruby  \\\n",
       "0     NaN            NaN                    NaN               NaN        NaN   \n",
       "1     NaN            NaN                    NaN               NaN        NaN   \n",
       "2     NaN            NaN                    NaN               NaN        NaN   \n",
       "3     NaN            NaN                  295.0               NaN        NaN   \n",
       "4     NaN            NaN                    NaN               NaN        NaN   \n",
       "\n",
       "   sloc_rubyhtml  sloc_rust  sloc_sass  sloc_scala  sloc_scheme  sloc_scons  \\\n",
       "0            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "1            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "2            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "3            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "4            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "\n",
       "   sloc_sh  sloc_sql  sloc_srecode  sloc_swift  sloc_swig  sloc_systemverilog  \\\n",
       "0      NaN       NaN           NaN         NaN        NaN                 NaN   \n",
       "1    133.0     970.0           NaN         NaN        NaN                 NaN   \n",
       "2      NaN       NaN           NaN         NaN        NaN                 NaN   \n",
       "3      NaN       NaN           NaN         NaN        NaN                 NaN   \n",
       "4      NaN     208.0           NaN         NaN        NaN                 NaN   \n",
       "\n",
       "   sloc_tcl  sloc_tex  sloc_toml  sloc_typescript  sloc_vala  sloc_vb6  \\\n",
       "0       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "1       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "2       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "3       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "4       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "\n",
       "   sloc_vimscript  sloc_visualstudioproject  sloc_visualstudiosolution  \\\n",
       "0             NaN                       NaN                        NaN   \n",
       "1             NaN                       NaN                        NaN   \n",
       "2             NaN                       NaN                        NaN   \n",
       "3             NaN                       NaN                        NaN   \n",
       "4             NaN                       NaN                        NaN   \n",
       "\n",
       "   sloc_vue  sloc_xml  sloc_xsl  sloc_yaml  sloc_zsh  topic_primary  \\\n",
       "0       NaN     233.0       NaN        NaN       NaN       internet   \n",
       "1       NaN    7975.0       NaN      752.0       NaN       internet   \n",
       "2       NaN       NaN       NaN        NaN       NaN       internet   \n",
       "3       NaN       NaN     450.0       53.0       NaN       internet   \n",
       "4       NaN       NaN       NaN        NaN       NaN       internet   \n",
       "\n",
       "   topic_primary_fq topic_secondary topic_secondary_fq vcs_commit_count  \\\n",
       "0          internet    organization       organization            943.0   \n",
       "1          internet    organization       organization           3917.0   \n",
       "2          internet             NaN                NaN            511.0   \n",
       "3          internet             NaN                NaN           8741.0   \n",
       "4          internet             NaN                NaN           1588.0   \n",
       "\n",
       "  vcs_committer_count  vcs_committer_percent_dist_10  \\\n",
       "0                43.0                            1.0   \n",
       "1                49.0                            1.0   \n",
       "2                 3.0                            1.0   \n",
       "3                70.0                            1.0   \n",
       "4                11.0                            1.0   \n",
       "\n",
       "   vcs_committer_percent_dist_100  vcs_committer_percent_dist_20  \\\n",
       "0                            43.0                            1.0   \n",
       "1                            49.0                            1.0   \n",
       "2                             3.0                            1.0   \n",
       "3                            70.0                            1.0   \n",
       "4                            11.0                            1.0   \n",
       "\n",
       "   vcs_committer_percent_dist_30  vcs_committer_percent_dist_40  \\\n",
       "0                            1.0                            1.0   \n",
       "1                            2.0                            2.0   \n",
       "2                            1.0                            1.0   \n",
       "3                            2.0                            2.0   \n",
       "4                            1.0                            1.0   \n",
       "\n",
       "   vcs_committer_percent_dist_50  vcs_committer_percent_dist_60  \\\n",
       "0                            1.0                            1.0   \n",
       "1                            3.0                            4.0   \n",
       "2                            1.0                            1.0   \n",
       "3                            3.0                            3.0   \n",
       "4                            1.0                            2.0   \n",
       "\n",
       "   vcs_committer_percent_dist_70  vcs_committer_percent_dist_80  \\\n",
       "0                            1.0                            1.0   \n",
       "1                            5.0                            6.0   \n",
       "2                            1.0                            1.0   \n",
       "3                            4.0                            5.0   \n",
       "4                            2.0                            3.0   \n",
       "\n",
       "   vcs_committer_percent_dist_90  vcs_committer_percent_dist_95  \\\n",
       "0                            1.0                           10.0   \n",
       "1                            8.0                           13.0   \n",
       "2                            1.0                            1.0   \n",
       "3                            9.0                           11.0   \n",
       "4                            3.0                            4.0   \n",
       "\n",
       "   vcs_committer_percent_dist_99  vcs_committer_top_5_0  \\\n",
       "0                           34.0                 0.9046   \n",
       "1                           23.0                 0.2339   \n",
       "2                            1.0                 0.9961   \n",
       "3                           20.0                 0.2333   \n",
       "4                            6.0                 0.5088   \n",
       "\n",
       "   vcs_committer_top_5_1  vcs_committer_top_5_2  vcs_committer_top_5_3  \\\n",
       "0                 0.0085                 0.0053                 0.0053   \n",
       "1                 0.1698                 0.1557                 0.1021   \n",
       "2                 0.0020                 0.0020                    NaN   \n",
       "3                 0.2116                 0.1679                 0.1403   \n",
       "4                 0.2311                 0.1738                 0.0573   \n",
       "\n",
       "   vcs_committer_top_5_4  vcs_first_commit  vcs_latest_commit  \\\n",
       "0                 0.0053        2017-05-05         2019-10-01   \n",
       "1                 0.0968        2012-09-15         2019-08-22   \n",
       "2                    NaN        2010-03-19         2018-08-02   \n",
       "3                 0.0469        2006-11-28         2019-06-25   \n",
       "4                 0.0170        2018-02-05         2019-09-21   \n",
       "\n",
       "  vcs_minor_committer_counts_1 vcs_minor_committer_counts_2  \\\n",
       "0                         21.0                         31.0   \n",
       "1                         17.0                         24.0   \n",
       "2                          2.0                          2.0   \n",
       "3                         34.0                         42.0   \n",
       "4                          3.0                          5.0   \n",
       "\n",
       "   vcs_minor_committer_counts_3  vcs_minor_committer_counts_4  \\\n",
       "0                          34.0                          37.0   \n",
       "1                          27.0                          27.0   \n",
       "2                           2.0                           2.0   \n",
       "3                          44.0                          48.0   \n",
       "4                           5.0                           5.0   \n",
       "\n",
       "   vcs_minor_committer_counts_5  vcs_vcs_name  py23_compat age_commit  \n",
       "0                          41.0           git          py3      879.0  \n",
       "1                          29.0           git          py2     2532.0  \n",
       "2                           2.0           git         py23     3058.0  \n",
       "3                          49.0           git          py2     4592.0  \n",
       "4                           5.0           git          py3      593.0  \n",
       "\n",
       "[5 rows x 188 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apa_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def committer_50(x):\n",
    "    if x < 2.0:\n",
    "        return \"Yes\"\n",
    "    return \"No\"\n",
    "\n",
    "apa_df['vcs_committer_percent_dist_50'] = apa_df['vcs_committer_percent_dist_50'].apply(committer_50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pie = m_pieplot(\n",
    "    apa_df\n",
    "    .groupby('py23_compat')\n",
    "    .count()\n",
    "    .sort_values('py23_compat', ascending=False))\n",
    "\n",
    "#plt.title(\"Python Compatibility\", weight='bold', pad = 40, size=20)\n",
    "plt.ylabel(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Compatibility')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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D5BDlCRVMjVJNN0OiCL+gWG76LSTTnBfFvZWwflazoDSstYh3ZqD7XjBxOLMote9v/ff+SZR+9jxydKZG1+f+rhtnyom9gc7ODMAvcObTieLk9XOSQ5NIJBL9EWdmQTUXIUbHlsiY/VmfrmliIWfmYdTnpB0LALfjzHZYX5+Ss2uJM26PM/t2pdLkzOqoQD2GtXCmB+vr058OIFypaRbgTKxfm/q6DNXJPEq4QtaROHMz1j8ZeHwNNdfcFqUuzQZ8CZwNXNmlVHjvKJE5sxtKQ2r+bH6PHMfByGHYgEbH5nN0TU/H+tezuTbO5lqjaa7PsmN3pnYtqs0230dSxufnRE2WRb1imiOxzUyLorZbA8sC+wIL1b3+GnIaL8L6VvEQZ9aivahCHvMA20UcX09v90lqjzObA9cix7KZFVDq5xOoz1K8THh71kEiCaEchTNDsP7DXlzDZE9yaBKJRKJ/sguwaMTx++DMb9r0rujv3ESxM1NlKuAqnFkc69/N/hbiEDYzA9rdfbfTgQWsWmKMycbJoZEjsm/kHGvhzPew/oW6v22MonkxDEZ9RsJx5gDgeOBbTa9sA5yKM+cAx5ZMgyyrRFYb58zvgEPbHDcApeutidLFDgR+gpyLj5Gcby0lyZnjkFORx6zIEd0aWB851XOjCNX/Cpo1HkNnZ6bKNMAvsH5tnDkV+B61iNwLHa7x/oHnqGebEmOg/OcWhzNrAjfSWTp7RaTAtlpkA9siBkcePx2Sbz+tl84/RZAcmkQikeifxBod06L0npP7YC0TD2fWQLvQocwA7E3N2CybTpKfvufMwkilbB1qBuRQ4MI6JwrK70zXj1uZOKe2ykCgvg4mzjERO+DMAVg/MuhoyWEfU3DEzKhIf3Gc2bGEUzMUfZZTdTqwDk9VtcqZwbR3ZuqZATnQK2D9tblHOLMn7Z2Zeualmi5o/auFR6p4fsuAOeupd16fjRi3YuR5QE1s/0l8X5f26mq9y1mE9wFaHn0nuldhU63OpiVGbktyaKJIKmeJRCLR33BmfqR+Fcv6vb2USYD9SozZp06OuEyfl/dp7vPjzHQ4cylK5zkKGYXfQ7UTJwJvZLLP1Y3E5h4lodSPm7/kHM3KUouUmGMGiuszaqjRZZEzU892SFErDuvfIl5SdxjWv5x9JkdHjJsJyC/c1lwx9Q/zoWhNJzagXGPOMsZ02f4wl0QeX03TE84shjN74MzPcGZXnAm7vzrhzCrEbXpA3oaRM3PgzD448yucOQ5ntsaZTp/J7MQ52VXmLDFmiiY5NIlEItH/iO20XmWWXl3FpMEyJcYsQE3J68IS4y9uKBSWEXsbKjRu97s6NUpTujZzpsr0NhmN6qaqhPaWaaZ5XFm509Bxh0TO+7M6xy+Gk5DUcwijqTkemxKfejgQZ/K+h5uVmGuvQMO4DGXGvV9izNeoBiVGae5UrP8cZ1bHmbuQGuMlqKbqCuBNnLkuqx3qhp1KjPn+eElqZxbAmcuQsMgFKG3y1yhS9zrOnFDw+YXej81MXn3BJgDJoUkkEon+x2cTeNykTJld6/pxw5CyUShjaHWCjiQ8+rUNcECWBnR/xHkBbmoqVv5P5PgqzUbnKyXm+IKQ7vKSU46tF1oAOQZxWP80StXpZESOAgbWSUKvE30uRWlWyvl7mYjIfBRLboPEE8pQZtz1JcbckKUfboT61nTibKw/BWf2QkqNG9AqiT0NsD3waKbuVpaykZ55M8GRx1B/pjwxgflQBHYozrRGtqz/jHJR4MdKjJmiSQ5NIpFI9DfU4frfJUb+tbeXMglQpjB/FNXULes9MoJDipM9sOd4FSuoRmdi65kOzKRcTyA8yvIFcErDX6x/CRmDMXxBa+f5iyPnALiqTePIZjoZ6r07TjLHP0ES3s0qdGNQYfgqWH9T3d/LRi5nzvnbbCXn6jTu75SLpD1QYszFdG7C2owahkqueiUULftfznEPAdti/UGZk3IBnVOyZgRuxpky0VjQ970MHkVEFww4dh3g/DavnVfi3ENKjJmiSQ5NIpFI9E9ifyRHU85wndS5qsSYGxt6nFj/LOrPUhSp+QjYAeubnYHNiK9l+S6wJtb/A6XDdDK4PkcNFvMKu/8Yee4rsl3jeu4BXoqYwxPe8b5sPUb8OGdWxpmjUB3O08BqwI5ICW4g8B2s3y5Hbro3I559E0mRVPffIuf8F9Y/Er0SKSHGiIdcg/WubvwnWH88amK7IUrFHAgsg/Wr1jmTvyLcDp0RRULL8M8SY0YjoYPFI8bsgjN5vXiuJC6N7+9Y/1TE8QmSQ5NIJBL9lauISxU6r5d7K0wqXA2MiBzTaozLWfghitb8GaWJvIjSwnYDFsT6G3Lmiu0lU+X72XlvAn6K+mM074p/hWoKVsT6fGPW+jtQj5QQHkPNOZvn8MjwDzXGj8X60HS3svdc+DhndsSZZ9Du/ylIgOB3qLfOnsB/sf6aJpW5eu5q8/ciPkO9j5qJTSME3b9PN/xFdSU/w5lDcWanrIHqqUCM+tupJdYirP81uoaduIn2TWbnQJsEt2bXv5bq6MzySDAjhm1wJkSevZnLiI/S3IKk8WMYQJ5IiTYQNiXMcX6R8j19pmiSQ5NIJBL9EfW82BB4s9OhyOgIkaSdcDgzfVZsO2/JAnChXhEHRYy4FOsfbVrLqlnX+i9QStIWKEJwCUqPuaIgvars2mu1P9b/E+t3Qs0Pt0EO1JbAAli/V1MjzVasPwwpq33R5ohxqC5inba9NbQjvBbwTsGZRgOHYf0pBcc0czfxDqdHndU748yvUHpZXuG4QalA9+PMVgWz3IXU6WK4AuvzHMBriVewuxLrv8QZgzP74syzKFXsbORUXI0+ly2RsxaSenYi1pephalh/eHo+v2ZVnnz+5Hzv11Dg1lnZsOZg3DmBVRjNRz4FGf+hjPb1H3XNy6xommBdQuP0DVcCWe2xZmtMtnqD4mL5HrkBP1fiTXmr8/6x1EU+B9txo1F39GVsL6MKMMUT+pDk0gkEv0V61/CGYtqMQbSmtP/MuqlcE7JZoW9jzM/QY3mtqPWmf4DnKl2R3+97dh2WH8FzsyA3mtRPv7l1DeiVNf6y1F0opnFUB+IY3BmG6y/t82cb0evV9QcB61ja9QnaAlkiL8GzIYz1wfVqlh/Ks6ci5o0boV2x79CUYvzsb6zwW794zizaLaW/VD0aRpUp/QnpO4W15hVhvoVwM8jRt2D9Z2jj84MQopTnZgWuAZnfoL1/8pZ47jMMbo8cH2fAmfmvmL9SJw5k7A+NCAn9OxM+e5y2kcFZkHfmzeyf+8LLJdz3PPAyVh/NVCt8VoIFbR/GGwsqxh+I6So+CDq4zIWbYS/ifXDc8YsD9xJfhH+mtk/j+LMZvR2rZG+/4PRfbtE02sPolqdZQnrsXMoYcIGeeTVVQlFNVfLaoEGodqcsdm5Ls1qIxMlMd6XVWtM9PT0LIJ+dBatVCrDJ+5qEonEFIUzP0U76jOjHfAHgCVRPccYpIA1LEsnajfHkijNalq0m/p3rM9vGNn9eqdCDkdR35gxwN5Yf0XJc/Qgo2YQNcNnLNphPhfr76871qAd0W0DZh4FrJvVvDSfc07gLfIVkNrxKTB/ZvyuiSIM87Y59iNgN6z/S9DMMpZWRTUHnwJ3FqRa5Y3/NrAJcohGAg9h/TPB4/PnnB94nDA54y+BVbG+uO5Bn18F3fOhXIP1AwvmPBYVsxcxAtgE6x/qsLbLkXNZxEhgC6y/B2dOBY7ocHyVV1ADyx8gp2M25BjdO/4e1zXfFzWRre879CAqOL8l97vuzKrISVybVtWxh5Cz1Cou4sxSKAVvjpbXWnkK1W0dFXBsM7u21LHpOzgUsB3GXoTU6bYnf+PjfeAIrL8cZ2anXK+oJ7A+P5XOmR+gz2NJdG2HA5fk1HRNkXRrUyeHpguSQ5NIJCY4zmyDmgDmdeR+GKWaDOswxybAL5DRUs/b6Ef/j1gfovoVjjPnEdYEU/UcsekyzswBrI52lL9GRe6SFm4tggdnNkeOTigvYP1Sbc59GUoTC+UsrD8YZ9ZC6U7Tdjj+G2BrrG/fVd2ZjVHR9CpNr1QdupOwvr0ynjPfB45D0ZlmKexHgdOxPuZ6Nc+/FFLZW7jgqBHAlg2OZ/v51kPpbDGMBhYqjFKoCejhtEoyj0Kpm7/JJLc7rc+g79jBKEJSj0dy4cdg/ROZQf42cUIIB2B9vjCDM+uj1Mki9bZ/IKGJmtHuzE6o/0tR9s444OdY36jCpT4yMdLK5xPfFPcbYDGsf6PuvFOh9LdQafCTkOz6PsgBmh5tGtwI3NyUPvcoUsyL4ddYf0LDX5xZHPXoWa3NmCeQemJZGfbJguTQTESSQ5NIJCYozhwJ/LbDUd+gH8f8KIczp9B5Z/Q5YD2sL5tO1XxOS1xfhY9QEX7nVCsZ4ocBO9AYJfka1WGc0VCMXBt3N7BexJoA1s4tzndmAfT+QuRdX0YiAF+i9KG5A8/9JbomrY6mM4cBZwSM3yLX2XVmDdTos5N88XFY/5uQxebizFzIkNwXqFeD+hAZfOcGpxw6czpyPGLZtkmyud38P0ROzYzAx8BfSolqyODeBBXAV43nm7D+xbpjQj6/Zv6L9a0yxs6sjKS8p2t5rZVH0D39dTbufsL6OnkUpRqanXNxtIHQHNEp4lWUEvmDiDG3Yf0WDX+RA3prxByjUG3aRx2PdGZnWiXOixiLlPTq00l7kPPYSczgM/RZTLHRmm5t6iQKkEgkEv0BRWY6OTOgVIqLcaZ5px6cOZiwNI/vA3fhzIxRa2zP4Mjj50JpIcVoJ/pxpLLUnPI1PUr5cVn0on7cfHQqLs5nUO5f5fitjYy0Ip5DRsuHyAELdWZAqTKtalLObE+YMTwTcCvOfK9p/BIoghPSi+UknIlVfqph/UdY/1tUn/RjdM1WRI7aEZH1U+1rFcqOc2Z5nLkUZ95CRugx6LvwTJQz48y0ODMQZ+5HaUVD0O78f4E/NDgzYsOodyB+gDPNkR+AcwhzZkAO227Zfx9FeJNaAxxb9/87E+fMgO6BWyKOHwucnvP32GfLdEj5LoQbaW1CW8SFTc7MALRREKLMNitwe1YLlChBcmgSiUSif3Bs50PGMzXNPRvknIQUUFdZBgkNdIcz01FOhrS4/sCZ5ZBBNFOHeWYEbsKZ+kaNCxBvgEG7CIwz30L1P6uiCERz/YdDztDydekye5c4/z45fzsxYvzMKJpVzyHEFWifkKVTxePMUjhzDorIPI7Sri4H9saZWSNn673eMc7MgjN3Ak8ip3EB5OAtAOwBPIUzd+BMZ6fPmbVR5O0qYA10zyyAUgEvBd7GmU2bRsW+9yqNn5vq6vJSUYvYPxOCiHWqfooz1XPF9mGq8gJhz6RvgD1o7qkjKet1Spx3y5a/ODMdzuyKM9fizJ04cx0SaNiKsB5Nt9Cqtrgx6jkVynyEbOQkckkOTSKRmHJx5js4czLOPIgzT+LMvTgzOMhwmZA4sxIq3o9hQ5xZpO7/dwJmj5xj/8jj85iTcs0VOxWQH4+clRCmR0pwVZolaEOpjXNmVpw5EEnsvoeiM28jx+V3yDhZFJgT63+C9Vc2pdA1RkrCWLLBmVANTuw8O2YFz2T3+c6R4xcH1o8a4cwAnPk9ilAdSK1w3CAltXOA17P3E8rQqDWIkTT3idGO+N2ouL6ITYC/4kz7e9mZdVFNVJ7KV5U5UaSsPnXq8w7nbkfzuDIbEMuie7aMPVi9D8p+n8Zg/UlIZbBdfddDwPotQgBiDsptTMzZ8H/OHIq+u1egyOlGyLG4CDneNyJVuzyRgJeQI7NtjshCmednbzxzp0iSQ5NIJKY8nJkJZ65GRujRaGd9ebTbNwR4B2dCFYcmBM3F+yEMQCpoVbZod2ABPyK/83UMZY2d9mprqlnZLHK+jerey2uoxiaW57PzL4uM83OoNsissTLqGzIUGNVQdN1Ikbx0OwbQaMCVSVWaEYkngKIGZZz32POehSJBRcwODM1Utjpj/YPAs5HruC7n8zgG1TSFsBLtUjblGF1HWNrWVMBV4x1LRapiqaBIUD3z5R0YQDuFvU5U753Yz6HKcwBYfx1KQdwSpZWdgZ7Ly8LLfKgAACAASURBVGL9qlh/X5vx+T2VOlMb58xZaANirjbHzp6tZVa0ybI9upd/jn4verD+7Day+MuXWFuZ3jcJkkOTSCSmNGR43IMiFu2egerK7UxsoW5f0Smtqh319QIhcqp5zNn5kEI+QhGMWJ4reG0T4h2CAVSdIBXW31hiTRdmBdDD6BxB+hFwD860S+dqNkZDeLvJcOo2Val3Up2KUC3XzwKPng64PCKl7cTgdUjxrvH7rP4/sal/e+NMntOyE3HflZmo1a9cjBTYYjg/R5I9do4qZSNE1fS9q5DoRAz/wPrnxtctKfpxK/BLlOY3Z8c5Vdj/fOR5QWqQ4MxAwpvy7gkMwvobsP5MrD8H6+8rlMUvF5memm4aDU/BJIcmkUhMaZxKqyRrOw7LyXefGJStF6jv0F52NzPWUGnE+m+AS0qMvKDgtbLOWf24/0dYx/Uq92P9s2gHOaTIF6Tg1C4ycXnEuduN6TZVqbdSnYo4IHLuxQiV/5Va2cF0/hy/QHLQzcbvZsC3Itc3H/ld7svXRElGuuh+b+Yt8u+f9rLc7al2qC/TeFf9aKwfAVwZOfacLA2xWrdUXww/F6r1ehFn8urG6jk/8rwAVbnrQyPHHRxZP1ZmI+eTPusFNpmTHJpEIjHloJqBVqWoYkJ38LrHmamyHcu1ceYndYo3d5aYbQyKRFVpbQrZmXforNwVwvnE7R4/W5BmAr3hnFn/OEo3CuEdYFCW6rZ55Dnb7ehfimo6QvmGVqO3TKrS16i5Iki2t8y1vDfoKBX6b1Vi/vDvqPVnoZqHB3JeHYOM9ZXa9GZaIudvIeQ18+zpcp5DCOuL9B6wUZs+UZei9xzDbZlUcGxN0iNNDVcPR85JCOehFLNOaYhTARfgzG4Fx1xBnOPwlywyZIkXUPgucem/cb20xHUlxiRIDk0ikZiyGEh8zcBaOBOjVBOPM3OjLuWvIaNgGGpm+Fa2i/lZ9v8x/LmpQ/xFFNWl5HNRr+wWWv8mSiMJiYh8QmdVtAc7vN6ORqdOEsIHURyFegpYOXsPOxGf6jYfeUpMquUITcUC+CXWv9X0t7tR1/gYbhzfg0NG8bWR418H/hJ47Lx0bhqaR3jdlvrFGOAUYE3UrPFQdL8thPU7FDQsLKfWlj+ujD01YPyOv75nW6OUq7x0xFEotesnbd+P9e8Rb0Sfnf37FMKdoXGoQWVVHGNxFFVZHzll7b7nX2fjzqVVba94je2EWhQd2gQIaQT8T6RcBpILL0PMuAuIryHMb5aa6EjK00skElMSy5YYY1DqUHPviN5BjSH/Sms3cVAe+SEoneVktKsZYlCPRAZKDevfxZkrkaEXwqfEpcEUY/3VODMK7c6267/yLLAd1hfVz4D1/8KZx4jr4v0k1j+OM4uhfPgl0Gf7OjKEf4rUlr6NjMd/Audhfb0TVFaeNn+c9ZdkjReH0P73eBxwBNb/IWe8x5nfAJcFrmMkKoCu5/dI2Sm0Tuu3bQqg8yjbubt4nKTAd0eKUPXf6XEo0nA21odEkWL63tQzPOdvbxDXJBLgraYajLnRs+BOYCmkYDcN8D/UjPPDgDkPRNck5Fl3TCauANY/mvUY+hPFwgbjUO+XcThzG0q/qz6TPkDppWejdL5V0X31MXJ0LsX6j3Am1mifBTki+eOsfzJTgjwL9ZdqdjhHZu/rMKyvpkuWqW9pP079nXZB3/Wx6Fl2JXAaEhUI4YLcJsCJIJJDk0gkpiRCG8c1U2aXuTPOzI/SwjoVmM+CZIpPRmlSRU7NSOQU/CvntQOQlPCaHc73Beoq/26H44pxZg5U+PwjVPD9HtqFXhj1mVkQ/fg/j4qc78+ZYx4UWVss+8sraKf6VMJSdKpcnPUa2ZBWg+cwJOc7KKfpYT1lo1WtO98ygOZDhs//IfWkvahJ/n6EUojOx/r2aX/WX571EenUz2MUsAPWN9ZZWP88zmwL3Exrc9JmTsP6GCf3HZTSFtugtf1nIJGF21GjymYGoN36TXDmVKzv1ET2VhQRjKnJ+gi4LefvVxDW4LSey7Pmi5siJ6HeGP8MGcRDsP6F4BmtH4Ezq6Mam83IjyZ9gpyZ85rGXp81FT0WRVuaxz6A3uPuwDY5886D+l8dDOyK9Qe3HKGIVKxUOOh50d4RUn3U+qhR7C7omToWiYtcmZOiF94otWicM8sAfyT/mXoKUjw8l84NQK8gtt5M984m6HpWHan/omfGFOcYJYcmkZgYOLMgUqD6rKGzcKKvKWugd2fYt+cIOjszVWZEEYm1s3Hr05jmMhYZ+Kdgfa2xoxRzVkbGxtcoOjEYRX3y1KruRzuZTzf8VfU8c2VzfFSo7qMmnr9H/S2ajeSfoejHwVj/94I5vpXNsS2tnc9PBW4AfkNYw9EzgeMovtZrAo/gzBoFxkBZI0GytlLV2gVd/3p51tFIdW0zZICZup3kzlh/As48h4zJ5Zpe9Sg17USsd23G35XJJZ+I6lGa06f+DZyB9VcFr0nzfokz1yBHLYaLc/8qA+4W8p2ZZo7EmU+wPq+7fHV9I3HmMjrXctRzKdaPyv270qlCd/7HIoflVvIlyGdF0Zb9cGY/rO8srKEoxfJoA+YW4FfI2P1xtq6P0H12DdaPrBv3w+y4+ajV3lXlrGdFGxzDUCPMG9GmRBHTAdfgzFdY35yeOCvlpMLzv7tKRdsVPdeqmx6vos/jSqxvJ6hyB9r86eTE1zMWOf7Vc1t0rdqpBc6A7v1/odq73ZHzWt2Qqn43h+Rcp2Kc2RBFu5vTM1cHDsCZB4BdctJUJ1uML1ScSxTR09OzCMp5X7RSqQyfuKtJTPKoQHYQSpNYqu6Vf6EH01VYX7bYORGCMz3oRzmG14HFItJsQtcyI9rBjunS7oHvYv3L2a78WsgxHgHc3RBRcWZO5DzsTaMx8A36MT8PpbkthwyQ/yFD54W6OQxyoAYjo6v6Q/waSke7pCUNRu9rGJ17e4wGtsH6O1pekcP/d2oGSjteBv6AekLkNZh8CRmZhwPLdJiryhvAkljfKmIgp+5t4nb0n8T6FbOeI7ejNJx2eORMtqaXhaJu8auhVJ9PUNF3uLCDmrFujtIdvwIexvqHuljPcsDThNer/Afr89OlnNmM/OhIO74EFsjqLNqtb1bUvDHk/vg3sEpbZ9OZvVCtWgiHIuMzpJ+SB3bK+rXknXc3FBVpvm5foRqpX2N9a12OMyug9LC87+rXKE3rEKz/Ijt+E/TsCOUtYJFM6bB6zpmQgxTLcKxftOEvzmyFIlHtHKTPgd2x/ubcV+XM7haxhpuwftts7OwokhiqeHg71m+OM98GFkGbBm9g/dsR5yc791ZoQ6dT+vGbSBCjXzg13drUyaHpguTQJIJxZmnUQTqvTqLKi8AGWP/ahFnUFIoz99HYcLITR2fF4729ji3RLmosx2D9KYVHyCi9h3w1pioeGStntZljBmQMFal6fQZs3aAg5cwVaMc0hK+AHzTc89qFfxr4YeAcT6FC3bWQ3O+syJC5GzlW61GVlw1nZ6y/OvcVZ05HDlIog4BrkDLYGoFj9grakW9GjuA+gEU78h+iHfWbsb5zwbcz06PUty2R0zYSGfsXY/3/AsYvggzERdH99TKq7xmE0iU7MQI5DPmRMGf+Sq07fSgHYf3Z4/9PNUsbIVUyGZXqS3IDxTVZjwCbd6xjcWZvlGJUVBN1OHrexzgH7wELtzjaqkfp1F3+f8B6DWICzqyJxB06pQM+BayF9Z/hzFDim6puifWNqaHODCdG+EEMxfqaXLYzW6PPrJMYwzhgeyTx3Yjq6Rzta/rqGQH8lKr0tzMHo82UGJaKSh/Mw5mF0L0TGgl8GOtX6eqcE4hubeqkcpZI9DXqTj6MYmcGJAl5X5ZqkyhCqmAr4czqOFNktOdxCOF9NJ5B/Ur6gtCdvbhxqjG4m2JnBrRjfiZqLtc8x1TIEO4kUTwrcEeW6lKtCdqpw5h6ZqTVGNuAcGcGlGKzLmpydzjW74v1h2H9vVlaXKfc9TyKxhxHuAT2ZVh/JZIuXiPi/KdlzkUYzsyMM1ejYvXjkBO3Wnbea4E3cabYyXRmf2r9TTbPxq+PIlxv4MzFbdfkzHdw5g5U33QCcmgHZWOHo/S6E1EdTzteA1YvcGZmzd5XLNtk46fBmaOz9dyOakFOQ9fnGeSwbJO9Vl3nKBQRWh85Wp2L8q2/CDl0v0GORJUPs/MtnkXgYu/Lb9Oc6uXMUXR2ZkBqc3fhzFzZuHlRqltIbdPywCU4MzfxziTUVMXqubDEPLXaLT3jLifMhh2AapVmb3lFkcv16Sz7/DGSyq46M4aw695MmWdRM/sSJ2iwchaJm+xJDk0i0fecjH5QQliUcEWUKQ9nfprl5L+NdlUfQM3XHM4MIr/fRyPqnbAh+pEq4mkUMSvXfFBypj/Dmbtw5mGcuRtnDh9vVCilowydxu2FnONQfps5MPVsS37zwDymR+lroPS22NrMPZoM5d52QGyJ+X7c8hd9nkugOoNNkSHcLg1xFDJeq7Ujse9pLjpLV1fXNRNwH8WS0t8GrsCZ/J5KzhyHogpz5b4uMY09kVHcWM8kSfPHUHFynk0xNTLE90CfxZGoFulDVJt2D4oILUljX5Nm5qSczPJcWbTxLvQsXjDnmDnQRsdJwH5YPz0wLdZPj/VbYP09hTVjzSjF51z0vtdC720erD8S64dn6aBlnIPa5oNSO4+IGLsA1Uae7evn2rEVsALlbMY8hb+LievB9CqNUuGDUKptKDNlY1pRreBywK9prZV8H/gt8EOsf6Tu7/PQecMoj9CGzvmoHjK2Hg0kZT7ZkxyaRKIvkUJTnhpMEYOyH6tEPc78EjkxO9KqOvZjtGN3F+36FdRj/cOo5uJoWqVbH0M/fisFpdm0rtPgzK9QfczZKOKwEtpdPp1ab5mn209SyBOF547fOVwIGej1xBrgy+LMKnSum8ljLhobHIYUfDdTNKaMPOvU451jZ9bBmVtQQfVLKJLwKjJ+1kE7/U+gYv5HgKNQ/5MjsX5cljO/eok1bB943NnkOWD5nIkzjWlVzqyLjLkQ1qBeDlwG1l8I27BZGCk5nY71y2QG/vxYvz7W/7mhziKfGAO4nq9R2ltIQ8SlgDtxZqqgFL08nFk/i1a9hZ5XfwMqODMUZ6qbBN+inP1Vf50HEueUAOybfWb7dDyykQF0FgJoR+t1tP59JEIQ0qOlmtZav3lQxqhvP0bP+d8gp20dpDb3Y/Q9PjqnBqXs73O3v+vzUlNBjCEm4t1vSSpniUTfkqfQ1InZ0W7nDb2/nH6K0mFOCzhybeAmnNmwbRG/MzOj3e9qwflJyBA1wMelnJhGLkK72e2YHu0GfwcVvscYu29TXBS9LLB4xHxVtqIqgSyxgaLC9XYMonxvh3qlodB+KPUUjfmQeMPvM8BkaVx5KXTV/kA/B/bG+l8WzFU2tbBzXr/SgFpTBttj0Jofq/tbq7RuMXvhzAlZobgiK+H8EDn2d0eeE7Rb/iqdhSKaqaBNkFB+hBz8GEnw6mbCEPI3FAagqPCGOHMJUukrQ33KXmwtC+iZsxb5UapOfB99L9operWjlkIoiePq8+llYAvUt6ZdmvWLSIK+OXK3RN7BHcgf48yySC55ILXnyIfZuj4gv+fQJ6hGLDZi2CkroBNl2wfE2iD9kuTQJBJ9y3wlx5Vt4FfDmf9D+bY9KBXlDbRTeV9U+sTERtGqmKL89ZBDeHvTPLOjXbhdaVXF+RztHodIALfHmT0pdmbq2Rp9HjEOzdkddrLbpQx1Ys66/y577y2AohhlqB/3CfHv45OC124iLjUHVD90KZ3rgaYGLsWZkVjfrkN7X6UWgmRgY42VrXFmHqz/ICvij019mhUZfxdQvo6g0aFRCtYmyIn7Gngc659sOEZNRC8gbGOjnjLqhIOJdWgUfQ25Hnsix+Qj4u/z+h5CsY5FlbLPiOmQ6llcrxS4AGcGZeNWbHrtSRQlH4k2RBZCUZsX0f11b5vfqjKph41j5ICeglIgm5kbPTMOxZkDsL6x5ke9fv5GWNSvnjIiMPV8gK5PSHPlerrdpOsXpJSzRKJvKZe2UH4cOLMEzjyC1Gn2QQbzKsg4uxd4HmdWLj3/hKdMakVjypSEFh5CP6p5KWmzoJ4PD3cpypBfo9CetQlP97mezo37ysp+148LSQPJYyxyHmJ5uklW+Pa2R7anaMz5xBu1jvDIhwHOaaktqfE6ii7E8mTnQxp62YQyLbB09t8/pJwd8KPs32VqAmppic4sjqRz30IbCr9HUY4ncOYJnGlOu7uEYue1mbtpNaJDWCdLzQpDUc2YXjaDiZOfrlLfCLNcbV/5nlofoc8m5vnwIBKpuJz8z2EFVE+zLbAp1n8/S0fcukPdUhkl0OYxJ5PvzNQzNXLIdst5rX2Tz3xGog2s8qieM65fjbimq/P2E5JDk0j0Lf/pfEgvjlOB7iMU1zL0AMNwJka6eGISWktQz3pNqjZ/pmbEFbE08TuzQk5iaK+TKguj+ov9ab+L9hnaSdwpILL23+z4WOoLXl9GPWJieQ41neukGNRMs2EwpMS5NcaZBXDmWJy5HGeuwJkTs9f/GDHXVcRHLeZBRlkrqsWIlWD2yBHrRLcpKGVTUaZD8tplxquOQMpLDsk85zU3XAG4DmdqERnrP0IKbF8GnOc55JSWiWQY4orO9yPenhpA3PfsAayvj9AMa3tke95GGztl+grdnKl87Y/uz068hZ4FIbU31dSzUC6NOLZ1jDNLoVq3UM7Jqc28jbjr+Fusj3HG2xHrSH0M5PcvmsxIDk0i0bfcgX5EYngW6x+MPpNC6LcSlrM/PXBLrpTlpEeZGgRDtQZBjltMsfpPUY+GWJo7tIePs/585NxsD1wN3IkiMvujxoDHBDX2VF3DnyLP/xXaQa3O8SHxqREeuDDrkRFjKDyF3m8N65+KPP/1wPs4czOKhpyE0ld2RRLCr6A6j3YpYfXcjGpMOslV57FzwWvnExc9uwPrXwo4LtZ5rFJ1nsuP1/34aYmxH2fy3kMJS3/6Jc4cOP7/rP8Hijo/1ub4MWhHepXMASrj4Hvimj/uUOIcGyFnLiR6OJzW9McriW9QeRHWj6Ux0hPCZ1S/p5Kl3gXVmbTjEZQOme/k57NzVs8SwqXEpXJ+TaMTFCt6MjPNvbWU+rs5cso78UesPynynO24l7hI+MFYXzbttV+RHJpEoi/Rj0fsjso5Jc+2HircDGU24rokTyy6rUHobRngdnS3W279GKy/Aet3xvpNsH4HrD9/fJfucM4h7ppdhPXNhmnsPTh0fNqY9ZehLuiddnH/BWzc5sd2ZyTn24m7UErLY0jYIC+3fACqz1gdfa7Dctb2EDIYt0MSvmXqS9vXy6lL+w6EpZL+l/Dv5bWBx9XzXF2R9UOom3gs1fOWqQm4GaV+xmxUHNMgyW79U1j/U5RydxYSULkaOAY1nxxYtxsech8187fs2R1KmTTVubH+WiSsUNTJ/T6kuNiYKqb0o/ymuPm8Ty3qdxPtHcI8TgTG4MzGqHHoNOg7tStK63sGRZovAVbE+pXR9zGWsOeu9R+j+tBQ9suc2yp5vXE60drHSetYE6Ub5m1A3AdsgfW/KHG+fBSl34XO371vgMFZH6wpguTQJBJ9z+loxz2EqynXdAzKac2XKeqd0ITUEjTzNrVc8djCTZB0ZyxlCy97t2DT+goyzkOM57vJ63qvngvHB55xOM2SqGocuCoqrm82DF9CBsAqWJ8fIbB+JOqD83Mgr7P2c6jmabPsHAsHrHNepOi1IVJaWhdtAvRg/apYf20Wdeibujfr70CpbM+2OWIsSg1ZNTg1RdGK/EaU7antzmuXOfZ583Bd6lNseqBHNROhwhlV5qXZQFbdymYopewzZFRfnKNSGBuNKDOmzKaL0s2svx1YBDk2N6PoxgNoU2FprF+nxZmpcQJKkezEx8Am479viqRuSpEEfI0zULT7DVS/cSGqBXkMfT+vxvrlsP7HWL9XnZjDlgFzNxPuBMlQH0Rxs9ZRwG5Yf8X4v0jlMrYmE9opw1k/EuvPRKncK6E2DZsD380+uzK1UsVoE2hbdP//lcYNms/R/bsc1pe59/stxvcjsaNJjZ6enkVQodmilUpl+ERdjBrjzY688hGTnIqVdtdmB76mbKPC/oZSwGZDGwdfoDz+PdHuVjOjUD+JIwtTi5yZNpvzK6z/sum119APYywzlA5JqxB6VuBLrC9bkF4/n0H3iQE+zfp4/ID4mqITsf5X2ZxjiN9xH4v17Zt0qn6g+qM4IlvnLMiR6twHp8ZotKNcM+zVBXtq9P7jCvRr98dIVINwRvbvZkag3drjWvpt6H1Mj9KJDkApXO3qCR5GsqrvtFnPDEhmd2H0PXgPeCr4+VR7bixHrf/Cq1Sb3DmzPvpBj2E7rL+xwznfJj7V8Qqs361g3urzYCokr70jMtTHIPWqi7G+c3qqitVnB0Zj/WdZSuVfyX+uNPMkilRNQ/Ue02f7CGHR3ZHAmlhfS7Nx5lrCU64uQsbwI50OzOFKrB+EM4uhZ+WGtG7KjkYO7kENO/LO3Eh4P7BngBVyIzSNz/RPxz+rnbmX+E2Qh7F+lcgx9WuZAX12nyHxl4NolWwfg3byj8f6F+vGzogkisegaOD+NDbjHYein1chp+l7HVZzMbBPw/famVHER62/wfqwZ7Uays6I7uVd0abKotmrr6Fo0cVY/0HTuBkoJ57yBtZ/J2cdc6Gmsbuh59w4pNJ2EXL2Quq9usOZ76Df/k+Alzv+FjuzAIpwrY7ug0+RsMoVWD+iT9daQLc2dZJt7u9I130wStGoGh3v4MxFKKc939CYUDizGlrfVlR/cJ2pIGPq8pxUl/6PMwujh8We1IywESjneW0Uol4HGb4jUC75pVntQt581R4Gg1GTxgHZ359COzHXZDva3aQ8hTs0Ws8m2XrWoyqH6cwTaMf2+mgHSddsP3TNqukbI3DmCpSyd092rhC+oHHXeQTxUqX5D3UZU/ujH7Cq1PHHmVLTecgAiIl63YL172XKansjw6QabfgqMxaHYP0/284gI2td9HlsQi3t6t/o2h2CdgznQZ/zE+ie+apujtlRzvt+1Ayb0WjHeOvsbztkc4xCtS/nYn3rDq+cqm2z9dSrYN2XreefdFJKcmZ15ExtQc1Qfx49N+6oO7KsbHB7h8b6MThzKfFSz/lF/DIe9kGfbzUt7XN0rxyN9WERFjXEHIyu7fTZ317NzrsHuufziuur/At9BhVqu81fonqTXyCFsSJRi8/RvTAyk+GdFjmo+yKjqLk5azPXZ+svEzEFmA1nvo+iF+2czWmREMCKOLNa3UbBoGxMJ4n0F1EaZKMz48xC1J5P1Wf6Z3XPp/OId2hiU5GrG0jbo+tos796VFdxKPrOLofuj/dQIf97AWN/mR3/LeTkPItS1B6nszMDcibeo1H2vsxvUidDfEYUfR5MTWlvHPoN/RnVzY2iDRPrR+LMcOI3/57PWc+ewP+jtf/WCtk/p+LMjlhfpu9SMc5MT+3zrDbW1efpzBDgLy2boxpzLkpZa7b/1wZOwZnTsT5UeXOSIkVoumCiRmhkxJxGXrpIjdHA7lg/4SX79MW5kuKiwI+BLSlTAD+p4sxe6MetaLPgV1h/YuB8c6BC/6If4jdQgemVxMu4jgRmitgxnwvt5BTJtb4KbJSlPoXMuTd6yLa7Zh6l7W2BwvpFjEI5y7Vde2euJD5nWrvBjeusGn3tUnXHoWjGHqifQic+QGIFy6BUw6Iu0ucCP2+J2CiaciPFqlzvIiMt3ymS83Arqh1px/XAIKwvSu+opgENpdgIegqlv7Sm2mn39CqKU0+kdGX9wzjzASENKBsZhfWNBoi+Z7OjSOP7qD9LhXCD7HGsty1/dWYgKkYumud0FJnN/w4qYnQBcjjb8Tky6JbJjqvvK/QkMkz3oLjx6RCUvrY/iiBVeR/tdr+OdsKbv/sfIVGJN7LXl296/dFs7mtQL5mVKaeydQ2wMmoOGUJjBESO9lHIAWuud6puOJ2Y1UVQN25P5DQWPdN/jRyp0Ka2b6JGj9OgCPfnHWvlnFkCRU2Kmko6JH/cHJVYEn0vi8Y+Bmw2fqyc1ssL19TISGDB8dfPmTvR71IMd2P9BrmvaPP2Toqfrfcjm6I4yuDMUUg5Moatsb5Wt6LfrZB0zTHoeVemlisffZ53UXy/PYbuhQ+zMdMihy9E8OZcrI/tN9Q13drUU5xD09PTMydwJvJoF6QWHjwbuKpSqQRfkIns0JxOsTNTxaMUizL9IcqhHfybkQHaia+ANXJ3evsbcT8AJ3TcBZFxdz+13bQiqkZHjMIUKDIUls+uEP+DhDlN7wI/QcXQRXPuTrgE5ynIUN6c/OLv/wIHYP2DOGPGG4ja2X408BxVftKUVvMz9IwIXeeO1NIf8ngX/djPhyIOIY3Szsf6WkRCP1B3A2sEjP0EWBnJrtZwxqJ7rGhnv8otwLZtUyKdmRf9iIYYnM+iGppahFZps39GUaZOfIGc/AepdfeOYSpkoOZFkp5FmxJfI4OlU63p/1DRdmOfC2e2QzUxIU0AT8P6/J4YzvyJYgW1KqORY/sYMnRmQEpUP0SfXUjN7B+x/hdZJHJO9Hx+GXW2P7jD2NdQpHAmtPvtgVew/rmm9zMDKoKfkzguQlGuGFYen55YO//UKNK0FKpbeh1FSltTg5zZFfXHCWEIimJ2igZ/gq7npqg/WJXH0MbFDS0bB4ryOdS8thPPoDqsz7OxC2Zzh4z9F7Aa1n+OM47azn8oh2H977PzbkJjNDWELXJrTuTMPUrY5sUjwNqFWQLOzIM+95DnHshZX2z8hpI+j+GEZzl9CCxUOrW7HkULHyOsAfI/0ef5Bc78ls59d+rZgfbNgvuEbm3qKVEUYFaU030rcgiOculi4gAAIABJREFURg/XK4FfTcR1hSNpwxBnBvRjekH2IzKh2IYwZwa0K31BH65lwqC6h5gC2RNxptNu3oGEOTOgVIFliS9OjVnzIYRHgOZDO8/t0TX7fxHnPxLd94uhSMif0Y7dRciQ+j1wepa7/Q3OvIczZ6FI4F0R5xna5Mx8G/hdxPjDkWH5C7TLX89rKJVpGeSAXUx41+f9aGyIuhdhzgwo+pLnkHVKU6pnK4oLfU8mfPd8aVp/XHcgzJkBpdeej6IDsYxAaUMORYOaIw5Lo/vyRJTGUyTa8Dj5zswM2fpCO5ofgWrFGnFmA8KcGVAU6CIUgXo2K85+hzCnrMpBOLMC1r+K9U9mzshBdHZmQA78XcBrWH871t/R4sxAVfAhtsHgR8gxi6WmmuXMbDhzEKrHuw7VhhyDUsXyrv2sxD0fB6MUoKLo09No8+k0Gp0ZgJ8gO+SZLNJZz6mEOSSg63RY3f+fFjF2OeDQLAU21pkBFalXGUqcYMXztG8aeRbhkdiV6JSKqijUzoQ1Cf0SRWfqj92XuJKNuZGCYm9wGmHODCgt75AsY2afyPPENome6ExxDk2lUhleqVRWrVQqR1cqlfMrlcqQSqWyJdpJ+EVPT0/oD9DEJDYUOCfldPLLEru+H+FMTJ+QSZFBxO0UG4oeuopyxaqWbUAnJ6KRi7D+6aAjtasZI5MJsFXmDLRjN4rTrJrRNbH+Daw/Huu3xPpNkBF3JTKSLDLsDHLyDkIqWa8SlubyEK3flb2JywWfBtgR6/+I9d9DaR7/h+pQlsD607OC5S0J/2GqMrjNf4ewNmq8KpxZhcbUotjz11DK1o6Rc+2R5fVXiX1urEi51KXbUd1Ap75BC6KI5+ronrgT7Xg+TvVes962ODNiJ4pT+PLIe/+xn/ESNNaabUu8pHBtHapZOCZi7JKESU6fQ7s6tXz+QDkDWxsASqt8DRnG9emQ06M0ucdw5krqpaH1TI9prmlQqu2qyKk4G90zQ5GDvEY2X6e02R7gb1nEsxpNiOnnArA3zkyTOSahYgi1sfE1h1Vq6mGK5G5KmCz42ygtq9XBUPrnhpHr2C9Ly6+fZ1GcOQRnTsaZ45CYwhYo9bcdrwKrU1NuqxKr0gfNSpBl0O9pSKPSevZBz6/YiOhPcabMJsJEo1+IAvT09JyIdlN6UDrH+ihf83L0sB2LHlbPVCqVzZvGzoqK1c6pVCq/LDjN68ggnYZyXbInDDIsB5YYOYj4XbF49PBZrcTIQcSnBU1KDOp8SO6Yw9q8tiqKRMQwFYrQHIN2y4u4jDhjaW3Cd/mqTIMMuzPbvF72mtW+x84shwqdi5TFDDLSLkQ7yPvRmof9BooU/j6nTqTsOpVSaP0rBcfEsg3O7IPSZZaOHGuQ8VYt3C1z/rVwZiGsbzZStiM80lNlHpR2d2uWE15mU2McSm2K2YgaRfi1+xZwMtZvS1hjziplru3OOHNgXVrL3Ei6OpZBKBWx7Dq2x5n9su/BQOIlbvenvo+RDMu1s39mpiaEsjnaSOykCnhhNl+nZ1oeM2ZplXfR+f5UobQzA7N01bLf+0ORrHXjDrczf6BRSayIRdDzo2qMTld4dCvzIcd2CeIL8+entQ4qlOa0vfeRM3ISit40R6O/QffAz7C+XS+eXYjffP8uep48gjP/l52/JqhT40VkW35Gq0qZfi9aC+tnIH4jCsLrq4rYkfjPcwHCI9/NLINSGPsF/cKhqeMm1PX5SBSuPRyYuVKpDO7p6bkKOLynp2eOSqVSr+G/FdqFadBq7+npmR49XGdGBvjuwEOVSmXSdWbEHJTLGQ8pUu4N8rXaOzOh1tdXlHnfc+PM9G3yastfR+sH48w9yIjfgVoh8DcopH9uiQLFvvhcy3zm38KZaVEfBZBjFiqTvA9KLzkNpahVf2BeAe7N3R0sv86QMWWu6bTIyO6Nz6Psd25BWnddu11P2fGzoAhdaDrF9XRW42pmC5yZv0UxUob6rMDIuvuxSplrOzMSJqim0c1PuSyK+nOXua4zoBSZt4m/VgBL4cySWP9SVld4NK2G/DGoXuMYYK3sPM3G7ovAmVh/fnatRxNvzH2M0jpDne0dUTra7ZS7dnPhzAxZWl0NGcG7Rc61E84cTvnv6UKU/17NiK5/qANW5YHsvVaVyKopyuPQxtO71NK8XkNKp50iOOXfvzProtTkdpkA30V1S+di/bolzzMhKft5xkaLq4RIwU8y9DeH5qVKpVINtw3p6ekZCezX09NzBvAn9HDcBv3AVRkI/KdSqfy7cSr2orEb9n30j67pcX0pasR0Pe6GsusrO25Sobffd3fzKUS+e5YzvjAyUMaiaGVxoX5frKf35vTjxzmzEp3Thpo5AOvvI653SZl1hnzfurmmvfF59OZn2u1c3Yw/ADkWndJqb0cd7rePPMfUyNCtFjuvhIy1bajunDvzb6qy3VKr6o3n9KTwGc9ecvxsOPNr4LiCY5ZDvbkORAptW6Pn1EiU1nffeGEPqaPdRnzq1ZOE1yBVGYzuld78fmxGvFE5E7rHurmXunkP59E+ut5uzP0oxbe50e0AtIkEoUpkjfOWYR5kC4akNQ/GmVfHCxoUIdnn96jJd4cyPPL4PMpei7BGva30btPnPqa/1dA0F+gNQakG61cqlQp6CI5Px+rp6ZkP7f7kddL9M/qC7Vj3ekw+/8TiE8rdZHndtvuCVyjnPLVqvPcvylzfV2luatjdfFB/HaUatS4yGu4H/oF23d7Gmd9lSkahlF1P0bgyn/krdZGUPUqM3yzLSY+hzDpDrleZa/op+v73xudR5n2NQXnlRfPGUB33EuV+rF/IeobshAzXvLTVp9C9shXx9SRV5seZ6XDmOtRMdCCNaUDLIgPwlSzFqcy1fRelvlR5nXINAF9o89+hfJj9A60pRKGsSbEzU8WgjcWerObsOKw/BeuH5chYx/Zt+YZyvbnWw5n5KXftXsuJ1kH5nfUFKf/b+ALdfS8vR/dkKLchae1mZ6aZNYGhWaF6CGXf/0+Ja3J8eKYcGUKoMmc9l5QY00zZz/NqFCWL4X/AsJLnmyj0N4fmpTb/v0j27z8Bq/b09FRz/XdAD8xrmyeqVCpvVSqVYZVK5bpKpbILMvSG9fT0TEg1sHj0kL+4xMgQvfTusf595CzG4GmMqvVHylzf9mOs/xdqgBjDl+jBVe1PchdK01yr6bi5kHrTczgTtltt/WOoUWMMn6H0jXaU+czrr1mRLHI7piLeuCj/2TozN85sjzN748yOODNfyzFxXIH1o7H+JdRgMIbRNMqKl7n+t5DfAPZWiotr83gZ+BsA1r9Le4Wjdoyj+iy03mP91Vi/ElKs2gzVaPwQ61fA+ssyR7hspHoMupc7fV++hQQHyvScuKjBiFekp+j704561cgy99il1BpLPlBi/NuoViuUARQ1MVXdKFj/AKq9CWUI5YrbDao76M1netn7bizqMxW7w/4c1j8E3IA2QWJ4FusfziTVNyZMSfABlNocullUjXKGcBWK2sXgiK8baS24d2YFnDkHZ27DmVtw5pRsI/B84jZgPiHHDi3B9cSJaQD8B+tvJe67A3BxwYbrJEl/c2g6cR26yapqOwOBv1cqlRCVjZtQrmaZgvYJzQXoBzaUV4iTre2Wczof0sDdWP9yn6xkwnEzkkgNZSSdd2xir+NVWD8iMwBuphbib8d0wNU4E1p4HCOxDMqPLtrhvYm4aONXlNsZ65ariTMoPgWeyvqHvIWeSxei3cvXceaGTBr370hCNpRqGkiV2PvjxmzDQajx6b2Rc+TfAyogj3WQzm3ahY99P0NzFcYkWXxHJh3c7ITHyMjWMzPhUvSzoN+evEhWO0aTbwwPQRs+oTxKYwPVYcTt6o5FxlqVS5CIQgz3kCeDXMw6mTCEcGZpnBmCMx8BY3BmDM48jpze+wPmuxLJzHeTcnULvfdMLxtleD6rx4nd3Vc2i/VlnplDcGbqTHl0XuDnqHA/71p+hCSl90FF9zG0KpHloUadsc3Bh6E01FjWAcCZH2X32xMoJXIzpEp5FNpIPxfJuofwDWpKHOuUtVL28xS/JNy5fQEpC/Yr+ptDs2Sb/38doFKpfIgM94E9PT09SKkjL90sj2pkJlbRZcIjNZC9CPuh+wI11owNN5bH+gcJ78L7Jr0hZzix0U7GtoTtJI0Ddmmz010/559Q1DGEZ6j1JtqGzs5MlamAszOZ6E5cjHb8QngSFQO3R6kZ2xLWO+cbdM3qdwvLOMFjiK0hklO2PWGbCGNQz5oHUApUszrRNOg9P4waL+5AuLP088wJqa7rFsJ7OL2ADJNm9kBOVwgnZbu+7V8Pl1H+C819cVTbFCo7PhxJ066NM7/CmTNw5pjcXi6N53gC9QKJ4WPie6BY4Hj0/O2EB/bC+rdbZ/FPE94M732a60XkMG5P+K7u/g1Oop5RMY7qx8RH6kBRkdVwZiqcORc5noOpSc1OjWS6z0UKf6eT75w+AuyE9YOyiFyZFJ3RwPDsmb4N4c/0XYE5ceYknLkYZ87DmcFZP5thxDm4oHSvamPK41HUIYRbaHRKj4sYewdyYl5H13Io2tBZEzkVZ6C6mtOR+tiCWH8Uusdi7cklae0B1Y5DCd/8uZzw99vMzJkj9yC63/IYgCJXe6FrWxR9+wL1sIltMFrEsai8IoSbqG6UqKnyeug5UcR/gfWwvmzdzUSjvzk0zTr9B6Afg7vr/nYlKjY8Ce0s3VQ/oKenp11IdM9srtgfu4mD9VeivPEij7uqoT7h35P1x6Af4iJj9QnUybn1h7w/oo7Ua1Osu6/+I9bfHDjr7qh3QtFD86/AmlQ7Q8f3rliMkN01GUcD0Y5P0c7nHahTc+f8exnIna7Zh+ia3dL09zI5yX9ucorCsP5eJD9aFFH6H9rNO5rO9XjTos2WuZBiY5Hh9Tl6Pt2IM8vhzDJZSiFIIve3FDtb96Nu0R+3vKLNkZWRA9qOkcDhWH98wTFkan0b0PTMbWIc2mFsblRXneMIJO5S9Nx4jFpd2DBk7B0G/Ab4D848mPUdaUdsJOgGWpsghmBR75G8PjVVPkU9i9pvXFh/OiqaL/o+/Rs9S1uNZkWpVqM1ZbueEcCuWJ+XznwI6qfSic/QTnZMRKmemZCDXtwUUQb3/sh5WxE5HVsCS2P9ylhfn9pTJq3y5vHfFesfRSm7RZsgH6HGo/uj7/Gx6Pu6H3pWvo3u19gUtvPHp/xod7+q2NWOb9D1275hA1O7+uuiGpeisdejRozH0ypLPDNyYA4E/o71R2D9VdQUOrtRYuuMBATWoDiVcywS7tiTxlq0GEYiQYiQ/kPfQep8CyPp59fQdRwDPIsaKy+I9UXXPZ7a53l7wVHVaP6OTWmsTwDfRymezc+lp9C1+3GA8twkifEtdXeTHnV9aP5DVWJVfTp2AC6oVCr71R07HdrZmAO4uVKpbJMz1xboAT08O24r9ONzbqVSCW7u1tPTswi6KRatVCrDy7y3rlHjsx2RQtuC6Ev9AnqwDZ2gkZk8nJkT7QJvj/JrRyHj6bwOu739FxXjb4YalH0XbRy8jiSGbyBfprnTnAugsP7m6J79Cu0inYv1z9Qdt3B2rliuxfqdItazEGq0uSlSQvoSRSXOxfr4tB6lyVWv2ZLUrtml6Jrlp70oLaDdTloea2SpXuVQ472t0O5cVVThVeRc3Yx2MWMa2d2H9etkqRfrISNoaRTJeRdt0LyPvkMbUtuEGolS2YZg/VNZw7W9UQ74nOj+eDRb1w+QwVf9+0PAhVjfaKQ5syoyypZHkaUPUN73ZdG7dc58L5trHWQcfIaeuedj/fCA8XOhH9ftkPLV12gD5Fz0HWhfcyHGoIhefu8YZy4jTNXyQeQolamJuQ3rt8iinxuj7+/3ULThTeAK4JrgVBRnZkN9TnZCRv0oFJk9j2q9nepu2o0fgBzOfZFRMzUytq8Eri7cgND38xi0WdIsrDAObaocifX/wZkj/z975x3uRnX04XdtTDWhhSaaCUWU0APHmN57772z9ARC+egldBJCQhW9hd47BEwvG0yvohezQCgBYwwY2+f7Y1a+utJKe85Ksu+9nvd5/NiWTpO0Wp05M/MbxMj25a80rsuVxosYm10vJQoeRTbDrqyQHE5Vj5F2T/8EuT99gmwusxLQn0M8WOs7rOERYL3UHIYoWAT5HFajq67PPYhn4ifk2v8q9cCgq+/qiAH5PXIAdTtiLLnUGhuNHFh1/X6LVy3LEE1ja4y92atHFCyFvIYVkYOj/yHrvzjJxSMRHBiOfw7VJchn7MOKGPt0Mm+A3Lu3QL5ni9L1PbsGuCwzMsOHKFiUrmuh+vMs1d3f6/v2QwzKaYDvqJWlnwi0uqfubQZNEblRro38wF0FHFkul3+taX8RcjFtVi6X76h5biXkxOkPyI15NGIoXQpcUS6Xnd+QHmHQKEo1UbAc+dztQzF2jXYvp+NEwcKI6pSLJOrZGPvnDq5ldmRz4yOHb4GFu4WSdY03ADGCmxXStcCRGHtGSv8/I6etabHkYxGDKHTypOVFKk0vhXikvgAeymXQd423J+6n7qORzWm990l+zE9Hih+mKRuNQ96fPRGDOY8RfDvGbp4y99zI75NBQp2/QrxaNzc03NOIgnkQA3h3uoyMr5BNtpvh6IuoQG2OREFMgcjA39gtTE02zW94jjwaORBZ27PfYIxtfr+T9+lZpNhkFidh7PHOs0vx07dx3zjfhBj3u5MeIWOREK+9nL8n4o3cDzm0qNQN+RzZ05ScIiCi4K9IWJcrT2Nsl9cyCg5CvFC+LI6xPnmElflmQ7yO0yDv56N1HugoOJOuMGwXPkW84Yt4ruZfGLtjMudg5GCrUeHNXxBvt6+XOJsoWJUuI+9bJBqhV+UmT2oGzQzlcjkzqalYLJ6LbAJm62ShTDVolB5HFCwJvJTZrp4HMdY3qbNnEAWLI+EUgxq0GItsXo+lXgq2nevYnXxhcIeSVv8gCq7CXS3qQIztStiPgtNwy714BlizLQmr1Yh63p+AwTXPfIMYaWdirF+uhZx+vkeXZ8yFGzG2cX0akfDeE/E0Tod4Gh9FDIIPkzYFZLPjG6J9BsZ2fQYSJngJkkOVNtbXiJcj+xqKggOQUNTaYpQVxgIHN904yfdmrqRtmTSBhfR+i9DlqQgQI/5KRAmx0uYxoFnYXy23I5433/f4EozNLqoqylS3I/LaafwMHJ+E97nj740ahxT0tYgxui5y4DAS2UuMTJ4bgXi97m0YZSEHHpfTvM7Oz8COTUOcxZvxGV35Sq4sQUV0IwpmSMbwUYl9DmOX95oxCpZBkturjTcQz9SNyH3lraTtnMhv4W8dR9+f+tIgLryLsQsSBcsiRrlL+Y/0e34epHjt4dQbYhaJZjou0+jvIbS6p+5tOTSZFIvFqRGX/I2dNGYUpYfyPvlqR7yS3aSHIj+qCyAbxaFICMIoJBTsFETe+VRk89VJ8hYhrPcuSWKqj/Tt6UlIEolqnWsi+RCg3rvTClFwDuLdqDVmQE6yDwUi/OoggWz+fPtsnoTj1RMFk2HsVxh7GsYOwdhFMXa5JD+gOjE+xl9SursUfRQMRK7NZsnTvwUuJQqah11Fwb5IHlAjYwa6xD66h1BHwQBEQvxF5Dt/DyKk8z5R8BBRsHGTeechCh6hKz9gfSQMMgSeJQpeSMKBQA4gXZU4RyKeizz7kXmcWhn7AcYugYRA3orcGz5DNryHIzVLRhAFhxMF+ychk80RL1/oud5+wD4Y+zHGHomxSyGJ9jMgBt0OiIFSKe75QXJQksYVZBcNnRK4kShoFua2Ov7GDFQXOZWQ1H959vdTzRQRlWeQMNTaCvZTISGk/yEK1kzWNByRbq7PHaznRMQgysOUybVwPe61DM9yusayEM/alaR7lSphzI8RBRu1PFcvoM8YNMVicZZisbg9EsM+Pf6Jn4rS+xFhAN8fFou7WlbPxNgxGHsLxq6BsTNi7DTIyXsROdX/ERiTJIxvm5xutpu8oVtpeQ++wg7TIPkVIGFUPuxWJTLQGnJi7TL/vMADnvOulmNFA5B8SzFgomAromAoUTAakQP+gSi4JgkVaYavZPn9GPt+1f//iYQ5u3AmUbBC6jPiUTrHYx1/H2/QRcE0SB7TxUgYYDUBlcRxqbvR3fiPgvmQsK3amlbVLA08QRQMTvLUdkJCyZoxEjltfz+jXSO6PK5RMCVRsAFRsGvyHZ+/rrWxj2Dslhg7H8bOieR9rIIkRF+IGPfnAW8l18maTeaek8Ze4WZUh2qdkczbKDl+HuAyouDEbo9Gwdo0D0Wtpj9wUZIHlIZvoeEKtWF2h+KuRHYV8DhRcBJR8CBR8DhRcCtSq6v+3iz5fdeSXSh1IHA7FbVD8UwYuvKLankG2BxjT0AEOvLUXfkKOWyZz6NPgP89vjtRsA9uYYIVo3bRlubrBfQZgwaxUP+FnAruXy6X35zI61GUicV5+NVfuCdVHam3EgXTEgUPICfiW9L1Ixggm9vrgTdSNzytkVds4LFu/5ME7K1SWzZn+2Tj2WwTlsZAsk96s5EN85EePRagywhzwUV5KL2fvC9vIJ6A1eg64a289meRwnnpITOicudal+FTRABAECPEXXBDrtM0iW0QI921mjnI66zI4t+Im5z7AcBJ4/8nxs0duOWgDATuIgoGJoIMKyKFIWs3ij8hm8zlMPZhRKAnT/HJ94mCWYmCs5Ak8HsQz8X1wDuJ1yk9lDYKtkBEHzYgfS+0GvAgUdAopC1vEe5pkvl3RLxDLhxHFFSLjfhuhudCwirTyBtu2j3Hp0uJrFltqzHIYfNkyGd+LOJFWBnJzboO+DQJo6rmROq9Mo0YSHXJAGPfw9jdEAN0Z0SRbh/k890dGEYU9EtEFGqVNF24iXylJ3ZGctL8EePU5147FZI73qfpFQZNuVw+oVwuB83yZ8rl8mNJm9nK5fJFjdopSp9Hkiz3w00+9R3kpt43iIIpkFPodTJaLoC44uds29zGvo1b0b9qXuqWeyBMT339GhdmAxYjX2hdo9wCH3bEv5idjzKSb4XsCv0RY3PBjHabIae76aIOIihxIs1PcV9EVI+qE7F3x//z3KxBqNxunuNInyhYA9m4u3J41fxr4Vcoc2Yq3gNjn8fYrRFp222Rjd82yXj7j893kHyqPPK2DyEKb4dS7zGoeJ3uJwqO7vaM5DtcR7Zx2A+4sIFRlLdORyUEyidhvau95KtsmGPeRiGszyO5Pb7U52UY+y3Gro146y4FyoiB/yry3VkI8ZjsQOOQyVmBK4mCP8kswUL4e2e3IAq6q/GJaMCNiEdlZ+Re/TaSA/YuUXA47nULK/yC5E3W1kh0YTrc83tq2RD5TvmwXXLt9Fl6hUGjKIonxl6MbDCbFdF6ANl8tU9GcuKzP5UQo2zmoP3VkE/Hrw7H6SmP5c39+wW/0/tq8varJs8ma5HEe+KCbx4LSBjgxrjJ0YIYwo1lWyU0ZS6k1siriJrUh8hGaVWMXSZFLtW3KCfIaXRaXLzvJgZkvb4n+pPTdeq8T7OGDeg+n7FfADHiPbyGSq5fFLxBFByAFJ/0Dev7D6Ks5VLL5GREIa/CUbhf8/0QtcDuGPtfJAzPl9uTkELfQ4TliIKlkQ1/s/ypRqQf3ki+2AOeY31BM2+GsS9h7F4YuxDGzo2xSyTfnSOB5RznODsJBW2c19WYyZH8ri7EQH8aMVpqC3r+Dgk3vAK/Q6mTk9/PvPmZeffgvl54EC9NeihrH0ENGkXpqxh7HfJjvz2iTR8hIRb/QKSC1/NWmurJSGiMby2ETREJ0PZg7ENIuJCLUXMcxt6UMsYI8uUUvIxssPOQt181eUUR3PpJrYdXPce+Ez/PBGRdQ8Z+ibGnJEnmg5HK6W8Dg4mCtAKceY3FNK+OTyhphXHk2xRWQpxcc3+qWXy8p0tyW25C7j3b0v39WAQJQXofMeRdDxi+QeopuYkCCCcmeVRz0jj8qhHLIwqStVzgOc5IpO5P3o3lEPJdA9Dcs/g3/A5izh1fIycKpk6S4psjEtc+oa0Bko/XutiK5Oo9SPa1/FukDpeLUXMmxp6c/PujHOv7EfEW5WGanP3yhu32CnzqJSiK0tswdjQST359VtM+wEqAb17MAORH9q9tW4Wx5xEFnwInIPU6ankTUV97kyjYBNlwvlNTi6YE+EnISnLx08iP6yDPvtd5tk+jnaIIjTgOkd91ORH9HjlJ9j3NXowoWBapqp2OqHmdiCh99a957jXgLIy9JnnkS8/5K3yR8liZ+oT+LN7DL2SsQkX5asocfQGmIAoq9Xw2yWj7W2TDuTKiUHgkjT+395Lx7vdcTwEpqj1tk7GbsR5yaFDNTcim29XoOwVjRzTM1cpmaiRXaAT+4Z1SG0jyNjZDPEQDkOvsBiSkzeU+eBPwDFFwI/I5TAGMIwqeRu5Bt5BWEFTCJX1DLzcnvxe9+n50IO6e0t8gRuP2dBXwrDAWORw8D2MfqXr8cvwPTq7zqjvVnRE5++UN2+0VqIdGUZS+Qp5wHPA75XXD2DsTSdYhSKX5fyLS0WsiKlWHIZKxdyDyrG8nCmzbJCNcjhR5c+UVjH0sqVlxsedqH8fYdoio+OYPgcTXuxd/M/ZOJGk9K+Z/BLLZyqveNqjhM1GwFuId2Ij0jfFiwNVIYT/IZyy+ibG1m2fw/2whX20k6Er6bha22ohRSMHWrcg2ZioMRApBHou8/39Bro0RyEn2g4hBshBiZOX5vm+CvyFQob6fHBhtiJvs/dkYWwkxdZESTuPbpGbU1Tn6XkIUHI/kjNyAhN0dhnhnPkakqw9N/p3Gd0hY1kDku741XQZKP+RA6TrkoCYtX83XEIeugry+WCoiLeI9yq5V1J01gGEYWzkkWw0xtufC2M1qjBkQT/Bwzzl8vXvV3JcFVln1AAAgAElEQVSjzwjgyRbm7PGoQaMoSl8hb9HMPAmxbhj7LMYei7F/RLwyhyGb0jTPzUrADUTBFUjC8ZZIXkwWXyAnmRXOw72u0EhE9acdXI7bequ5JFEXcsfYC5Bk7weo/8x/RjZ7JpEOzntNpPeTjdptuNWbOIwo2DcJlfOt83Rhg8evRTaWrnyPGDT+1dihIlZxQ46+lZoe+zdtVc+yRMEfMHY4xh6HsQtg7HQYOwvGrpscFIyltTAkn4OCatL7Gfsl8t09kvTQo6HApomoRIU78b/v/Ip4B0A2wz7fm+cQ5boTkBycWiYDtkBew+ZIiOJlyLV+DZJXNghJ6G9W0wbEAHiMKKg1OPMInYB4JV/37PMIxr6T/Hsl/A+tArqELd5PDouexNj00Fy5JnfGPf/xlAYHFq78G3jXs881GOvjDe91qEGjKEpf4Z3sJqn4/jDk5Tqy1ddACsSdneTjrE3z9T0FDOkmuy21iNZFFLea8T9gA4x9yWFN2Ug+1iWZ7br4mnweBzB2KMauh6gL7YZ4bXYA5sTYXRLFOcj/2TbyGh2MXxz6UYnE6h9x3+z8h0ZeFdmQbIebxPEYYLvkemhkIDWjcoJ8Kf71Oc5HCqe6CnRUs6tDm1E5xgUJQ3qEfIcYDzZ8xtgfEu/LfEhdm20RA2FZxAjZjCi4jig4myioCEf4ilzclhhPJOpwrsbiF0gh0XT56u7MhKhEPo2xe2LsFhi7M8Zeikisr+o45+zU10tqJfTyNI/2lu7huoWc8/r1M/ZRxGvbLBzMAidh7DE511SZyyLGqSvfIbl+fRo1aBRF6RtIzoPvSfgo/KU6/ZHCcK6hNwAHEgVzY+wTSHHQtZE6W08g4R4XAEti7EpUV7WvIKpSQ5DNYa286qdI/YeFk/HbySHIhiiL74GNxm/Q8jMSUW/aF9lAvZTUk1krEYm4Gn/VuGGpp6eSWOxbr2dOYOPEW7Q52XlGzyFGZuPaIMY+gMTrN0so/hrYEGMreSbX4Be68yRSlLByLZ3i0fcqjH2B/CGgLqplr+LnqarwOMZ+jH/IzvPJa2qOseOS79TdyOHFE8hGchfEED0YqXvyH+BW3PPOfkBC8KrnKiFegWby0cOQ+45PXavZSJcH91XK25goqFYXzJPH+RbGvpwI3Jyc2VoMhj8idaMq5CmWma+fHELNheTsvE6X4fwlcBZyAHNOUrOrNeQ9+T+Hlt8Dm9C90G+fRA0aRVH6Er7Sr9djbJ6NkS++m4F+QAjIaZyx/8bYHTF2FYxdHWP3x9jmxpuxv2DsVRg7GDltHJL8WQxjT26DMZE2569InsPxpJ/IjkNOplcBRhMFKxEFSzSpYt6YKDgOMc7+AiyK1D+ZC0l4fggxbgcCt3iO3Ci2fXnyqQStDYCx9ybrPJ16Y+Q5ZHO6Ki4y6l0bp52RXIFPkz+PJ48NAf5LFBSJgskSz85GuCUFv0vtBtjYE5ENWRbX0yV7nVeNK7ufsaOQavM+/IAYdiAn/q6FPC1um2khCgYiYWZ707j45rKI8MfJZIfAVYz/N+qeEeGJOZBaR0OBt5Dr/hpgBYxdFvHMuBalrLBPciAgRMEQ5GDFh/7ATlVrfRL/0Mcuz6LkVu1KY0/8q8DmGHtuzeN5wi3z9zN2BMaeh7GLIaF8AxCjclbEyPkWGEkUlImCg4mCvOGTYOwZSA5XWlHnX5DDusEdOLjqkQTW5g0xVorF4iCkBsG85XL5o4m7GkVRkgTQm5BwjyzeRH70O2vQyMbgJ/xjyMsYu1CLc0+LbCr2pbvSVcXLcwfG5qnQ7jL3AMS4WAp57V8AjyE/7nvQPZb/EyT8rOS0oZeEe5fChJ8j3oybkXCgLG4Btk5COmrn3AJ/4wjgWozdqdsjojQ1L2KEDUCMv+GIZHc+RDlrB8R4rk7A/hwJBSwhOSTnIwZlLWOQnInjkKTo2RHv1qvAPRg7lihYDQl12oQulVQLPIxcT3eOf++iYHbEyPI1Vk/H2Owq6FK/6BXcJWy7jxsFOwBX0lzt1QIHY+w/HOeAKLgO8ca48AOSk7I98j2tNphHIB7Gv3cLKfUlCh7FPVSsmkGJNwuiYFvyeVguwtguGXS5fh7EzcB6AVg5MV67kPvpmsmfgYjBd2+Sq5aO/3vwAzBHEq6ZH7kHXoJ46BrxPbBFitCA71yLInLgUyNG031O99IeRKt7ajVoWkANGkXpgciPyAXIprmRvO8TwJZMiDo8El6QJxnza4yduYV5F0dCa5oVlYyQ098J8T4MQUJxZmzSajiwHsY2TgKWTdFQj5mHIpvFO5CT8TQsImpwHCI4MAMSDvTk+HwcUTd7yGPeChdibHcPnRRW3B8xvCt1WX5BDK/zMfY5fIiCAvJZN5Om/R7YDGMfJQoWQTZZcyEekbcRo+QgRIyitnbOcMQQOisxbGZBDLJ+wKcYm67wFAW3Ix47Vywwv/MGPgrWRWS8s6Slb0MM1e7enyhYGfnMV6f+XvEskrztEkJZGW8uZE/gY8SdjLHHJocPQxBlvhHIPWNrxLs6FpFdvqxhYnrjNT1PvlpCvx/vFRL1xTziEBdgbPdcH5Gqv57G3iuA55HQy/T7ktS02R0p0jkV4vG8GbgfUXqsbb8ZzQqB1nMuxh7k0T5tjQHiIdneofXPwBoY+0xLc/Zy1KCZiKhBoyg9mCiYH6lyvgldG9QnkB/ZPBW+866jPxKP7VtN+hOMnSepor4TEsqzILKJ/Bg5Xb409UdfXvuzSH2PLF5CTkI7p4Ajp4fP4CaZ+zmiUvZpg7FupbuqmwsLY+zbiTFUqS0xDXKSeTuymd8xGbd2M/8oIlf7FFLt3lf2d2OMvTtZe4DU+jgko4+bl0LG/A3y3i7q0PpHJKxtWM0YiyHvwSwZ/e9CTpPdvHpRsDqShO/KfRjrV88jCgwSxrdqyrNfImGop6ZudLvGKCKekukQQ+I55CBgJsS7+lySiJ+1lr8AvgnfXwBz01WochnEeDQpbccgXsL9MdZN+jkKHkY8br7MibGfJWMsRbbISBoHY2ytOABEwbzI93A35D2uMAwJM7sOY39O6TcVkiu3C+ke74+AQzH21pS+fwf+5LDm54DVm+axuRAF6+OWT1jhLYxdpKU5ezlq0ExE1KBRFMWJKHiO9A1KM25AlNGupfEmejRwIMZ2VwuLgjvwEyE4BmN9Er/98F9P91CVrnFmAT7Dvyj02XSXza0ec3VERrdZfoxFjJD5EEU1Vz4Gfjd+Mx0FpyLSuC6ckOSuNCcKjsYnxwOewNiukDOJ4X+d5p68as7D2AOdZ4uCM4DDHVp+AiyPsbHz2N3nWQTxaMyMnHg/jxgLKyPG6wjgbox9tckY8yKfz/bUh7I9Bvy1qccmCh5BvD2+FDH2nUQ85P6UuWt5CzmEcAnP/BP+ClcvI3W0qscZBizjMcbPiCiGqCnCYMSb8g1wa3LAMCXynZoK8Uh/1HA0afsQ2cp5FtgbUWarHeMopP5O2vs7DglX3hOpodQaUXAv2RLXtayOqKVNkqhBMxFRg0ZRFCeiYBfEo+LD4Ujyskv4yr4Ye1EyV56wl0+QjXfeRO7G5FvPSKBQF8MeBYMRz5Mv92DsRilrKyIbX5cCnBYJEzsV9zooe2Ds5clcv0MS7l3FeMYieQyNC/aJ9+8D/BXFqsOJDsavGvtopMCge8HNKDgG8Vw0yiMbhiR0p3vlfJEQqaOAxVOefQY4HmMfrunzB8SYyPJqHo2xpzaY9xlEPMKXJZGwvndoHpJZzb8xdu3MVmKwfoZb7aQKYcohya7AFR5jXIV4fw8mvQ7Mo8BRzuGVUXAh4nF3YSywHMbWe5XEo7kLkt83A6J0+SSiOrcuUoOnK+RUPPp+hYejYFbEm+srvHU1xjbLt+nTtLqnVpUzRVGUznMjYjS48h9EktPVCDiXKJgz+ff2Hv0qzE2+xGEXtsR/PQORU91a8v5mNep3GG7GDEjI4H6Ip8klef/E8caMsE+TdaTRn4rSXWNWJJ88ssT1SwhcvSesOZMDe3r1MPZkJF/nSOBlZPP+HuKFXBljl22jMXNMMm6aMQOSp/JAcshQ6TMnkoPkEqJ5Sre+3fnGY6W1/XbH3ZgBWCvJk2uOiJ74GKxvIxLxtVxFV8FUlzH6I+FhjYpargY8ShRkhxhGwYw0T6yvpVL7qR5RITsXUYtcCvH49AeeRoqP/gHxGi2OHGC8QRTcmRhCrsxJvnuVi2S50gA1aBRFUTqNxIOvT/PaIRXeR5JmfTY3k9G1+Z2zWcMmuIYc+ZKVl+HT71PEU+JLvTEpJ9eualQVKkpxyyOb5rQaNxEiOHFCzeMuycG1ZNW9mS3HmNX95kFqY/iypncPY79Cik9uhngrX0Su202Jgt836+qMqHH9JbOdbGAvTcQZQMQQfAQ4TkgUFWupz93I5j+IByXLeE3DVQ7+OKRAahbvI6Ic9SFXol63I6KW1+w7+BSS5+NSs2lK4KbEU9qMXWkuIpDG1kTBTNnNuAw4lObKaxsDj+BeP6ZzkuVKQ9SgURRFmRBIiM/ywAOkbwh+RU5Al0e8Gr7skfydV4a5M/LNot6Vh/qkYDnFzyNvmhYqsyp+YTgVNsDYNzF2O8Q7sidwBFJMbxmMHZyalJzP+Jg143nfoqEVKp9Jnro64O7V6iIKZicK7kI2zccg+S5bIrlJrxEFTyTiEa1wlEfbyYAjktyM3T3nGUR6fsQNiNCEDxcgniEXWfFauuflRcF0RMEGRMF2yd/TSStrMXYvxMuRltz/DVJnaHDTPBZjx2DsPsD8iLjFe0nfT5F8vxURY9c1NAzkO5iVrN9InbAZU5IllBEFOyLGkgt/QMRBXPiIfPe9co4+SoJvYqWiKIqSF6nWvF5SQ2NXZEM8Domdv3K8JKvkW/gye7I584v37iJvvyyGZTdJpVFl9gvw8xC8iLH/SXncV62swnTj/yXFSS9z7Pcr/qF3WdXKX0GMY18FvUpR1rx1b1wKdHYheVRP0Tw8biXgaaJg9dTch+w5VgIW8+y1AXL67nKSX8uGSJHYLoz9OQl5a1SctZZhiBGUZbg2QuSqxcPxZ+rFDH5M6uL8DWPLGHs1cDVRsCwSUjU5oir4JXIg8hBRMAXw32Rd1zbw1nyAhGvW14KKgp1wC92rZkei4PAmdV+yZLkbkdXPXdxC2IUoODKzPo2x3xEFN1FdWNSNi7ObKI1QD42iKMqExtj3MfZYjN0FY3fD2NO860s05nqyq4/X8jzGvtym+Wu5D1H78uF5jG1k0NyBeyz/SBrne+RVMsorb/1KdhPPPrKx/LfnmD9QyZEw9hNE4cyX+7r9T+R0m3Ebbrk+0wH3EAV5PGd51MX6ITk1eUgXhjD2Qtykm19EvH2/IF6dxrLSjfkmqY80DJF1rw2JmiZ5fFjSrrLG5zH2MkTd7xBEKGEPpCDrIoj38iIgJgp8Q+FW9X4V4ils5oVxF6DoTuMQ3yhYEqlj48NApHitC+d5jv1kUwU+JRM1aBRFUXoeeSqDf46xPyf1ZHzUiADOzTGfGyJZ7F5pXWgsMyux/DshVdSb8RWiWvQ7ouCfRMFlRMHfiIKKZPGT5AvZEgMiCgYQBcsTBesQBSs6bMJLOea6yKFNfZ2P5lxWU3PoQs/+PwFXEQXrEwX3EAWjgVFEwa9EwX1EwYbd8kuiYFX8CjvOTr58o7zhc77erQqNDVuRQK/IgdfmRbyLGBErj1eKk8/jwRxreBYx8LNe+0Dg9mQTL0TB7EgifDMZ5N8AFxEF6ZLn6bjmmdTS7DXclGO8dxABikYsnGNM937iFT7WccwvgZ1zrkdJUINGURSl5+EaxtSoz5FIsrELV2DsNTnm8+EcJMbehb9j7PVNWxj7ayJvuixivI2qevZVJIb/LMSTcwsSWrI7spF8jCh4HTmZv8XjNYDkDLySFFD8BDnZfgAxjj4jCs5pEi54A7JxceUzp/UZez/udWieQNTzqrkaeV2uXIIUDLwXCdmqJFNPBqwH3A1EiXQt+KuogXuyezV+YXBdvEY+r9vQps8a+yjGbooIL6yLqOOth9Qxeg9YNFGZq+AaplZhFLK5dvVmTYOIA1S4HMkFcuGsRNbahbyfw3cNnzH2EfzzSy5KDj8akTflwr2fqPv9GTkEaMRrwApNc5cUJ9SgURRF6Xn4JhePodoDYOwoJM/kNhorEo0GzsRXgjcPXV6Vk2kcDvcN8GeMPcRj3GEYuzvGToOc8A7A2CWQuh5n0li5bVHkvfkIv+Tda5DaGsdQn+Q/PSIV+zJRUJ/jI5XHN8Ut1O0HYBOMdfMgGXssklj9vwYtxiCG37pJiFN135HIhtslLPB6RG43q0jsH4ChiZKcb0FZgKWIAt8Np09V9gqjEQMsTaa4Gf/F1Rg29jPkM985metB4C5EDe9douBQomAgEsbnEz54DvK5+bAxUTAHUbAgsI5HvwD3grL3ZDep4ysgqx7NIbirgL2KGN7NaFzfqZ39jD0buQ/9GQkNHI4IY9wCrIGxiye5lUqLaGHNFtDCmoqidIwoWB/Z+PgV1qwfp4ickq+CnNL+DwmFudSrOGK7kM3bTojBNRA50b0XuDGRt251/ANwD6EbBxyPhIZMntH2PESZy0WGehQSUlSfBxQFyyCGUaPQldeBnXLlNEkuy3bA5nQVDXwKCUv6DXItfZq6gYqC2RCVsF2oF0x4A/gnom5VnwjemHOQ8LE80t3T1oTGZRMFz+FnQN2Asdsl35EXcA+XOhxjz3Jc0yGIIliz0LZXEOPkR+Q7v2rGqKchymK+Xh0Q79f8iIHgw8/A7Eldm8ZIuOEHNK4/k8bpGHtkZqso2B4xzJt9V19FjMeNEA/idIgHbijitfmohXWORQoQ+9QUUxxpdU+tBk0LqEGjKEpHiYINkdPjRopco4ED66p6148zM7AW8uP+I/A4xvom6vd88m1S7gFOB05E8h5qN56vI3KtK+JXK+QBjF2vyVpXQ8Lgfod40T5AjMwnPOZoThSsjoTbbUR3w/hpZDN8I8aOrekzTdJ+NkRl7VWMfTJR0BuOnyLYd0jF9EU8V/4LMFVGyFA9UbAO4ulwiT4ZBSw/PhFbDhBuJVsZ6xKM3dtxPbsgNXdceBlYAfGm7YIYHktWPT8OMfzPxdh/EwVH4x5qWM3RSN6Mr3cHRJZcFOiiYDHk+h2EXL/vItfvu0TBzkghThe+BJZG6m5tjHg6fwQew9jH61qLtPeBSHJ+dd7NW0jO2YLA3qTXlRmH3E/3ThTpjgROdVwnwJ1JGKHSAdSgmYioQaMoSseJgmkRj8ZeyI91PyR/4wokwbuZks/vkXyaLel+qjkO2fidjrFPd2bhEwExAO/27DUOmA9jP0pCcTZBvBs/Ak8km/nfIDktPonnFpg/USJrtuZByIlyRcK7DFyFsV97vo7acU+jPl+mlruBrZ08Y1GwNe7qctXchniMfPgXxroUZqwnCnZH5G+beTZHIcVP76/puxxiJKxJvWH7AXA24hnZBvE6/YJ4di5OQsuqxxqAfE996g/tg7FdoaNiNMyBGJZljB1e9dzByXp8ORjxXPgXR4XBiNT3xYiBX4tFwub2RjyFp2WM918kfHMn0sUJ3gBOw9j6kED5Ti6MFNz8Oml7HbCtw+sYiuQzDQAew0204ivE4Pw94nWcFTlQegXx/LzrMIbSBDVoJiJq0CiK0mOJgrWRzWSzMJoxwF4Ye+UEWVOniYIzgMNz9Ny+qRBB/s38ERh7ZoMxf4eov61PvUfhl2S+gzHWt1AjnifPt2HsFg5jHobkJflyOlKJ3ScnZgjGPptjLkFq0hyBbFqr39vRyHfiLMR7NAXwVZ3xGAULAFsg3qifEDWxKRH1vTTv3xjgZsQgGZGMsQ2SC+fDKxi7ZHYzSGrJuAp/VLMckg+TR1VrHeQ1zZDR7nPEQFkA+exrPZ8/ANciXpWzyb42/oKxxzVtIfLSLqqA3ceMgpmQML9m8t3DkWvmMGDOlOctcD+wa9MDJqUpre6pVRRAURSlryGemSxjBmQjcWli/PQF8tQvcek3c85x0wsMRsEiyCZ5Q9J/h6dANpxPEwV++SeyQWu++evO5lVS1s3Ie/o5AtkMunJzS8YMgLFPYuyGSK7I7sBByPs5BBGCuB9JzH4T+C9R8G+iYHOioH/S/12MPR1jD0s20rMgSdyNQhknQzwSjyWeAxCDyJclEmMqG2Ofx79o7bCkXx5Vw8cQJcUsYwZEevtO4EGMXRPxpOyCqA9uhXidrgT+hpuhe2xSsLMZBzmMU01IFEyOsd8AKwObId6l6uv8lWTNxyPGbJoxA2KsrQ88lYT3KhMBNWgURVH6HkfinuDcH8kf6Qs0UvlqtV8z2VW/fpKLch9uifILISf/PuyOf2V1F5nkvCE17yJ5G+c7tL2LdtbjMPZDjL0CY89FEsOfRMLwqt/7AAm/uhW4Lwnx7EJyNi7Bbb+0FF1egnRjNpsZPdr6eswq7fPIIL9O4w19GotSydMxtoyxV2NsCWNvwdgfEE9qWp5LI45q+Ix45HzztGZBjBgwdizG3oGxayNhpXMA0yfeskeRz9Tl818Q95wppc2oQaMoitKXkBPCLT17DSYKlurEciYwt+foM5Jsudw8oT2N+m2Dn2jBykTBYI/2W3u0rbBZkvPRjHuRBH8fvgTuwliLsQcgHqkHqPf2PIvkUWzeFqW7WqJgLaQ441QZLSVMs7tk9IH4bby3IgrmIL8R7P76jb0Z98OIE5P2FRn1fXAvLHs3fsVRK6QbyvL+bOI51kJEwRoNnvM1ZiosWveIsaMwNsbYSj2d/fH7/NdLcvGUCYwaNIqiKH2LtcmWIE5jw3YvZIJj7Etk17Oo5drkxLjZuK8j8sc+fISENtXS6UKTeSSSByAKeI0xtnutIzcu6VZLx9h7E+W3QcAayLVaxNghGHttneJaO5DilefjnsOzJmJ0VgQ5dvCccTJEwCNP2Ny3SIV7d4w9AfHKfdigxQfA7km76n6PIR6KrLpIdyDvx7Je6xIa9VmZfIUtGxk0eYtkNjdURAZ9F88xA/zUEJU2kfciUBRFUXomzTem7e/X0zgaKV7o8vv2De5hO38lXdmpEedg7Lhuj8jJf55Ckz7z5vVwSD/JvwqR0+vJEK/MNYhxdgay4U9TpKrlGeCUukejYCHEQNsGCcv6lSh4AbgQyZ/xKXTqwlpIcroP+yHyvgvip2xXYRnEqDkOv9P9K5MCrH4YewVRcBUS4rUOMC2SeP8gIh8+rkG/+4iC+ZO17k1XSNlYRM78AsR7ORlu9bBqaRT66BoOW0ujz8LXc1jhs4znB5HvvtgXvN29DvXQKIqi9C1cKtG3s1/PwtihSPhSVjjNN8AGGNvoZLt23DuBkxxXcSXG/iPl8U6JFlSTJzzubWB6omAo8BqigrUaYrhsg2xu30OKs66HnNo3425g3W7hY1HQnyg4F1G2OhDxJPVDBBCGIEbTe0TBEjnW3wxfDwvAEKJgXmRteZgCY79AlLxcGYVbnlE6YrS8jEghD0CELFYGihn9vsDYvyBhkLMhm/jpMXZTjH0oCRf8FSmA60sj6fEROcaiyRruQ77PPlSUBJuRx9MN+a8bpQXUoFEURelbPI7UM/FlaLsXMtEw9gZgeaQuRa1h8z1S9X4ZjI08xz0e8V40OhH+FqmrsXuD539Aaor44iN2cGGO8a9DPCqrNWkzL5JHsybGbgYsgYSgfZys7xMkeX4pjN04JYyvhBhKzZgTUQrLmxORxuw5+82GGAd5qEj37o8UMc1iNLBdZs2iRkTBzETBjchncTKwI6K6dgTwJlEwNPM9NXYcxn6JsR9j7MiUFjflWFmjPo+Qz5N4T+qj4tW73HOsWxwklvN+/l/k7Ke0gNahaQGtQ6MoSo8kCu5Biue58gbG/r5Ty5moiOzxYCTM5TvgcYwd1eKYkyFJzRsilc1HIpu0GzKT2qPgFvwlfU/F2KM91vcs8ppd+AaRMF7Osf1PwAJ1hSSbr2d9xBhy7oGxPkIIzeb2/S5UWBZjhxEFw5AQMh82wth7kvmnQsIVdyXd0/YSouA1DxIe9xvEg3E/cF1mCFoUzIaot82fsabvgDUw9kXXF1Ezz1KAT99xwLwY+0mD8a7CT9HuBYxtLEwQBTMiRnlzj5TwOTC44dq6j/sosKrbEsezJcbe6tlnkqfVPbXm0CiKovQ9zkDi6V3j3l2LMPZGpkTyVnYECsAYouA1xGOQvWFMQxLkb03++HIBfgbNWPyT8bdEPANZamo/Iqf4l3qMPRWSc3GCR5/9PdoCGKJg6dyb7+68ir9B8xMSYgfi8fJ5fz5CQqAEub72JwqORhLMl0KuyS+B65GclxsRQ6aaLYC/EgVnYuxpTea7hWxjBsTwvocoWABj/cNLjX2JKLgSMcxcOBsYThSsBsyFXMdvJsIdIPeozXHLURpH1vVm7LdEwZrIe79Yk5YfI9+PjYmCDZAcmZGIh/qyFK/NBfgZNJ8hNXiUCYyGnCmKovQ1jH0S2XS6qEadiLHXdXhFE4coOBZReToKmBs5xJsSUV+6FPgkqWEx4ZAcnwc8epzvdJLcfY7PkJC7e2gcfjgMyYlpViG9EXuNL0KZRRTMTqUeiR+NwvZ8uQT/EMwbMPa75N/X4q5YNg44ODUJ39jvMPYfGLsrxm6LsX9EEvFPoN6YqTA9cCpRcEHqs1GwPLCC49pAwu/y5BRV2JvsvBOQ71bF8zcUuAp5H18kCp4nCnbG2DcRlbW08LZqxgH7j/d4NcPY4ch3eyfqP7NXEanqa5Eioeci1+XyiGfsNOBTouCfNbLdtwEPZc4tWOCPyYGHMoFRg0ZRFKUvYuwVSPXqRjLGbwA71Mm59hWi4CQkib/Zxvu3wIPJxnBCsjWyqcriGuCQXDMY+znGboQofJ2G1Oi5GzlxXg5jl8XYF8inyFTAXR56HgH3cpIAACAASURBVPLtNX6Xo089Ivpwt0ePccB5Vf1/ATYi26j5FdgNY7MEE4Qo2BfYzXFN+xIFaW3zSIDn6SOIOMB2wFbUX7/jkDC5bZH8qtMQgYFa/gBcRRRcjRg7gxFFuVp1O4sY/mti7EW4YuwviQT4EKRI6bzAzBi7BLA0ooLYSGVtCkSw4tbxBrtIiW9BtlHzKyKPraFmEwnNoWkBzaFRFKVXIPHv1fkeQzH28Ym7qA7iH+//ATB/UnBwwhAFkyMn3vtSXxjwWcQz868JsI7XSSswmM28GPuRw/iDyVeT5T6MzZP7kraG3yJ1hFzyKw7E2PPqHo2CKYDtEUnn6lyOH5BT//MSr4PLegKgjJ+c9KvJprx6nHdxCzerZaq2FDAVJbh5EOPjfUQs4wncvUZ/x9hDkrFmRsLvZkDuUU9g7Pstr7FrrTsjniJXjsbYrlBcMXA2Rz7/VavajQCuBi7A2LdaX+ikS6t7ajVoWkANGkVRegXyY7whXXkkvyIhGCWMfWNiLq0jRMGlwB6evdbH2LRCmJ0nCpZDNoZjgU+RJPSVkJPk/yEx+Xd3qPDkwzQuWNiIsch6xwH/a7o5lqT14fjXMbkU2Kdtr1k2zFfTOPzta+BQjM3e9ErtllkQpa53GqiCNeu/JlLfxZc1MfaRqnGGA3PkGGdmjG0kqZyfKNgYv/yRMcDcGPt529dSSxS8iJ83Mkau8QHIQdAojP0+GauAqOD9AnzYssiIAqhBM1FRg0ZRlB5PFGyI1LeYu0GLR4CdMTZvcbqehahKfY1/zZdbMXbLDqzIDTE6T0KkjdNyKj4FjsHYq9s87x74Jb2DeCWmTf49FknEPh94KNXLFQV3IWFbvoxI1nYhxr6X1diJKFgY8YotjYQY/Re4AbipA0U9G63h/5CQrDw8gYQN3obkQS2eY4yRiFfpfIx9Pec66omCBxAviw+PIaGvnbv/yIGBn0S78CKwJF0hk28gIhFXp8iSKy3S6p5ac2gURVH6KlGwNVIEsZExA3I6/0xy6tgXmJV8BSzbk7ORhyjoh2yqj6JxgvhcSO7B4W2e/TpE0teHaav+3R8xVh4A7icKpk1pXx/C5cZvkByiMlHwp5xjdMfYtzD2IIxdMckj2gBjr5lgxozQSuHFlZFr5Xnck9VrGYgkyL9GFJzSwlq6iIIpgbVz9FwVeJ8o2Kot60hnyZz9lqb7PnlR5Fp+hyjwlfJWOowaNIqiKH2RKJgHCbFxCfWZB9nYTso0M/o6zVGIlKwLpxMFa7VtZpEVzic8UM86wB1JflD1HA8hHpy89AP+ThRkFebsLeQt2FjNEsCm5CvUWs1RRMFf2rCe6YAgZ98pgeuTkLVOMHl2Ey9mA/6dePuUHoIaNIqiKH2TffE7CV6FKMh7ktmT+BKpr+LLTEluw4RFNv8+G/WA9hkggiji5akEn8bqpNcqORA4C38J5Wr+luTC9HZuo3VDBEQQoB21eo4mClwEE5qR5ztXTX+gRBQMaHGcNL7owJgzAP/swLhKTtSgURRF6WvIpiBPHY992r2UCY54HPJ6m/Zr51Ic2RwJk/NhHaKg3SFyeZTOGlH/PhprMfZwYD7g3pzjTg7s2cK6egbGfokYNe1gfvwLr9YS0IqcM5AII7yU2a45syHfh3ZzH/5hlS6sQRQs2IFxlRyoQaMoitL3KAB5TrL7gocGJGk6DxsTBTO0dSXZLJejT0B36eDWkHyAdho0SxAF6cnqIvU8VQtj79xC357EccC3bRhnJkQxbVPgYURCOQ/teF99CsY2Ypc2jNEdUSHzkWx2JaDvXI+9HjVoFEVR+h55Y8ZbSVbuORj7MvBZjp79kVPiCUnezX0rRkEtc7ZxLJcxW5mvE2ud8Bj7DiIh/VUbRpsTY+/E2LUQj83/cowxA1GQR0yjmtda7A+d+3xPAz7uwLh943rsA6hBoyiK0vf4iny5Cp2vBzHhyLt5GdPWVWSTd0PbzjoinXjNzcZsZb4J/fl0DmOfR2SXT0TqnuSl6z0x9gPy57O0+t62ox5LZz5fCfNbA2iP/HcXfed67OWoQaMoitLXMPY7IE+RyL6kdJanavcP5PPstMLNOfp8g9QPahdvkz9UKQ0LlJs830pF9b5Vjd3YLzD2BERpMK8kd+17kuc9+gBjR+ecv5V5OzFGOsa+j0gxHwi8WfPspzlH7VvXYy9GDRpFUZS+iW8eyVfk21z3VC7O0eeaCV7129jXgKc9e12BsT+3cQ3vA0PbNh48iLHNPGStJLHn+Vx7PsaOAf6BqPT58C7waM1jed6j1t9XCaN7vMVRWhU4aI6xP2DseRi7KFJ7ailgAWAQUuTTh1/oTG6OkgM1aBRFUfom9yNFNV2wwJ8mcHHBzmLsf4D/ePQYR34xgVY5AtkcuTAc+FsH1nDuBBzrYfKdbH+FFJXsm4iHxNewOB9ja71rd+DncRgFXOY5byNauY5exdgn2rSObIz9EGNfxtj3MHYc/mu/HmPbGfqptIAaNIqiKH0R2eRsD9yZ0XIsEGJsXwo3q7A97kUM/4ixb3RyMQ0x9mmksGaWd+hjYC2MbX9dDWPvpD1Gzd8x9r6MuSywNX5Sur8AW7XVM9UzOZl6j0sj0j8z8fZsgVsuzVhgx7ZtzI29FbgwR89vgW3asoa8GHsb7ocarwN/6uBqFE/UoFEURemrSE2WzRFJ14fonifxA/LjvTjGXjIRVtd5JJRqBeCVJq1GAHti7HkTZlENMPYeJPzlvGRN1XwKHAssg7Fvd3ANBwEn4e4tquYX4HiMdSv6aezrwEo0z7WpMBxYE2NbDWfq+YiXZgPgehrnNY1FPDlbJZ6FtHGeB1YFPmwy21fAphh7e97lNmB/4BTANSfnTWDFjl7b7hyAGJXN1v4QsArGfj9hlqS4ENg6T6XiSrFYHITcLOYtl8sfTdzVKIqiZBAFsyJFHH8FPp7g+SITkyhYFSkcujgwAKke/i/g2qQoYM8hCgYCSwDTIBK8L2Ls2Ak4/8zAHogxPBPiOXoWMYD7IYUzBwNTIifrtwCXYew3OeYKgLWRz2ZZpAJ7AHyPGKIXA3dO0NffU4iC+ZGCl2sCAxFD9z6ghLGfOI7RDzGQ9gIWRD6/T4ArgJvbIATQbO5Z6H4dTZ7M/yviPXoDyZl5JCVsbuIi34E9kbXPiHwHngEuwNhmByRKTlrdU6tB0wJq0CiKoiiKoihKa7S6p9aQM0VRFEVRFEVRei1q0CiKoiiKoiiK0mtRg0ZRFEVRFEVRlF6LGjSKoiiKoiiKovRa1KBRFEVRFEVRFKXXogaNoiiKoiiKoii9FjVoFEVRFEVRFEXptahBoyiKoiiKoihKr0UNGkVRFEVRFEVRei1q0CiKoiiKoiiK0mtRg0ZRFEVRFEVRlF6LGjSKoiiKoiiKovRa1KBRFEVRFEVRFKXXogaNoiiKoiiKoii9FjVoFEVRFEVRFEXptUw2sRegKIqiKH2ZMGZKYDtgT2A+IAA+Ai4Hri0V+HHirU5RFKX3ox4aRVEURekQYcw6wHDEeBkCzArMAiwHXAR8FsZsPvFWqCiK0vtRg0ZRFEVROkAYsy5wDzBTk2bTATeHMVtOmFUpiqL0PdSgURRFUZQ2E8ZMDVyHW2h3P+CqMGbGzq5KURSlb6IGjaIoiqK0nx2AGTzaTw3s1qG1KIqi9GnUoFEURVGU9rNnjj57tX0ViqIokwBq0CiKoihK+1kwR5/5w5ig7StRFEXp43gZNMVi8ZhisTh7pxajKIqiKH2EPIZJkLOfoijKJI2vh+Yk4JNisXh3sVjctFgs9u/EohRFURSll/NJjj6flgqMa/tKFEVR+ji+Bo0BLgNWAm4FhheLxdOLxWIe17qiKIqi9FWumEB9FEVRJnm8DJpyufx8uVzeB5gdUWN5BzgceKtYLD5RLBZ3KhaLU3VgnYqiKIrSm7gCGOXRfgxwcYfWoiiK0qfJJQpQLpd/KpfLV5fL5VWAInAmMB9wJfB5sVi8oFgsLtm+ZSqKoihK76FU4DtgX48ufyoV+LxT61EURenLtEPl7EPgBeAtJJlxICI9+UKxWLxXRQQURVGUSYkwpl8YM3WpwNVINMPoJs3HAgeVCpw/YVanKIrS93CpYJxKsVhcFNgD2BGYCfgcOBm4FLl57wccClwOrNfyShVFURQlgzBmMuC3yAHb16UCv06geacCtke8MksDQRgzCrgZ2ARYFqlNM3fSJUZ+H0ulAsMnxBoVRVH6Kl4GTbFYHAhshxgyywLjgAeQuN97y+VytTrLccVicSRwfJvWqiiKoiiphDFFxJjYBZg+efiHMOZa4IJSgdc7OPfSwD1Ifmk1Uyfr2QW4HqlNMw4ISoWmXhtFURTFA18PzZfAlMBwRML5snK53Oxk6WNARQIURVF6GGHMIogBsDJyn/4fcCdwaanAfyfm2nwJYw4B/kp9DZdpkde4bxhzQqnAiR2Ye1HgEbqMqEZsB0wBbKXSzBDGDAA2A/YGFgb6A58CVwFXlwqMmIjLUxSllxFYa50bF4vFO4BLgPtrvDGTJMVicRCSQzRvuVz+aOKuRlEUJZswZjrgGmCjBk1GA2cDR5UKuP9ATCTCmAOBfzo2P6ZU4JQ2z/8ksKJHl+1KBW5o5xp6G2HMYOAWYI4GTUYC+yc5SIqiTAK0uqf2FQU4G/hPI2OmWCz+tlgsruy7CEVRFKXzhDEDgaE0NmYAJgf+j14gIRzGzIx4Zlw5KYyZp43zL46fMQOSXzrJkhgzj9DYmAERF7oqjNlzwqxKUZTejq9B8yiwVpPn10jaKIqiKD2Ps5CEdRf2DGO2zTNJGLNyGHNJGHN/GHN3GHNGGDNfnrEy2BMxwFzpB4RtnH+3HH1WCmPmb+Maeg1hTH/gRiS3yIULw3i8iIKiKEpDfA2a2vjkWvqDxgYriqL0NJJQs508ux3oOceQMOZV4HHE2FgX2BApwPxuGHNPGDOb5xqa4ft6QBL020Veb8+kuknfGL/XPhntNUAVRemj5KlD0yymegjwdc61KIqiKJ1jB2Aazz5DwpjfuzQMY9ZEQokWa9AkADYAng1jCp7raMScOfrMHsZtqcEG+Q/wJtWDv71y9NkzjDMPUxVFmcTJVDkrFot/BP5Y9dA5xWIxLalyBuA3iK6+oiiK0rNYJGe/haG55HGSy3IrooKZxSDgJvxzT9IYk6PP2DaqjL2To8844P02zd/bWDBHn1mA6YDv2rwWRVH6EC6nVN8h8ssfJ///pur/lT8fAU8CxwIHtX2ViqIoSqvkLaTs0m8P5EDLlRXCmGVzrqeaN3P0easN81a4jOZRC2k8WCrwaRvX0JvI62lpl0dNUZQ+SuYPVblcvgrRhadYLH4I/F+5XL6r0wtTFEVR2kreavSfNXsyCQfKk+ewL/B8rhV1cTGwgmefUotzdg1U4P0w5n5gfY9u57Vr/l7IJ8DvPPuMQL0ziqJk4HXqUS6X51VjRlEUpVfyL/xzNz4AnspoMxMSRubLMjn61HIjUvDZle+h7bVNQtyNxfNLBe5r8/y9iStz9LlaC5EqipKFunEVRVEmAUoFPgQe8O3msJl0yZtpZ7/xlAr8AmwJ/OTQ/Fdg61KBH1qdt2YNw4GVgFeaNBsLnIGnalwf5EYkbN2HCzuxEEVR+hZNQ86SELNxwELlcvnXYrH4gcOYtlwud6LegKIoitIaBwMG8apk8Txu4VHfIBv2/p5r+a9n+1RKBZ4KY9YArqexjHIM7FQqMLQdc6as4aMwZimkFtt+wLLAVMBXwM2IYdg0dG9SoFTg5zBmd+B23A5UTyoVcuVJKYoyiZGVQ/MxkvBYSXr8BP8ESEVRFKUHUCrwTiKvfC80lU5+GtikVGCUw5g/hTF3A5t6LudGz/Z1hDGzIzLRkwNbA7Mi9W/mRxLQP0SUN+8sFXIpovkwCJgPeBZ4CHikVODdDs/Z6ygVuCuM2Rq4BjH60rCIMXPCBFuYoii9mqYGTblcXrXZ/xVFUZSeTxgzNbAOIoH7M2J8LIsk5lfqzFjgYeB84J5SgbEeU1yAn0EzkhZyWcKYlZByApvQ/XfsXeAiYIdSgZF5x/dcyxDgaKSIaLXXwYYxDwOnlgo8NiHW0g4SkYepgZ/anbsSxsyAGH4fAksh18zedAkFfIOIEF1YKvBeO+dW/EgK8f4G+KFUUFEGpeeTV8ZTURRF6eEkHowjgF2A6WuefgI4Jvl7GuC7FoyAh4E7EQPDhWNKBUbkmSiMORQ4k3QJ4AWAvwE7hTHrlgpeggF51rItYpgNSHk6ANYCVg9j9iwVciXEZ80fIJvOAcjnl8sLlYyzLmLgrofsDcaFMY8ixuqdngZu7fhDgAOALRBvGkiY4r3JnI8B/UsFp1wopUOEMVMAWyFhk8tXPT4MuQ5u0M9I6akE1moEWV6KxeIg5KRp3nK5/NHEXY2iKEoXYczCSOjTnBlNTykVOKYN802FFMzcMKPpMaUCacWZXebYA7jUsfmLwIqd2oAlm/THSDdmahkLrN2uHJ4wZlZgL8S7MVfy8E/ADYiS2gseY82EGKPN5K9fAzbIUz8njDkVODKj2WVA2IrRpLRGGDMXcB9dHts03gXWKxUm2cKwSgdpdU+dJQqQ5+Zry+XyGjn6KYqiKG0g2aQ+QLYxA3B0GPN5qcD5nnMMQEKG1gSmReqFXI7IQ++HKH9VGA3cCpxXKvCMzzxV800OnOrRZWlge2Sz3AmOxs2YARFMOBZaN2jCmE2R93jqmqemAnYDdgtjLgQOzDIQwpiBiNG7dMa0iwGPhjHLlwp85bHWY8g2ZkAKs45GrhtlApPcLx5BPJzNWAAYGsYMLhX4vPMrUxR3skLOfoeKACiKovQ29gbm9mh/XBhzSanAaJfGYcwfkVC22WufQsRjTgJ2BuYAxgDvlwp87bGeNLZEcoB82I8OGDRhzLxIiJYPq4Yxi7Si2hXGrAfcQrai3L5IyNu+Ge0OI9uYqTAfcApybWUSxswGHOc4NsC+YcwFpQKve/RR2sMxZBszFeYG/oKIbyhKjyFLFGDQBFqHoiiK0gbCmH6IYeHDLEjs/L8cxj8HSchvxNxIWNiJLipVYcz8yMZ7FZJcHuAu4NIab8AWWWOlsHQYM29Sg6edrEO+Om7rQj6DJoyZDHlfXeWx9wljri0VeLrBeANwNE6q2D6MOaxU4HuHtnvh7sGqsB/qpZmgJIIhu3p22y6MOVTFApSehIoCKIqi9C0Wo3E9lmZsRIZBk9QQaWbMVHN8GPNqqcBtDcaaBvGebE19gv9g4ITEeDoyUdv6reO8tcwEbTdofpOz33QtzLkpzaW209gf0g0axLiazXO8aYBtgIsd2m7nOXalT0sGTRgzCNgJMazHAm8DV5cKfNvKuJ0iEWSYARFL+NbVS9pGNqJeMCSLqRGPqWs+m6J0HDVoFEVR+ha+m5MKLpvtQz3HPBTqDZowZkokd2NIk76TA4cj3qPdIHdyfydEAX6YwP1AlOp82SKMGdhAvS6P0QvuoYyz5hh7+jBmilKBX3w7hjHzAecA61PvPTstjLkeOKSneBXCmFmQsK296fosRocxtwIXlAo81ca5ZgYWRPZ8n9VIYs+Rc9i8/RSlI2SJAlyO5NDsXS6Xxyb/z8KWy+U92rI6RVEUxZcfO9EvjFkVWNhzzOXDmCVLBV6uefxkmhsz1eyayAc/i4R6+fA1dKSeycPIb2OadHQzHmphTheBh1omRwzCNIMmb40Z1355PA3jgF99O4Uxv0cEF2Zu0GRKxCheLoxZpVTgmxxraxtJLtRNwMCapyZHvFTbhTHXAnu04rEJY1YADgQ2pyr8L4x5DpFhvh5yK8t1ulCtoniR5aHZFblp74tc9Ls6jGkRxRJFURRlwvMaspH3DdF6NON5VwOkluWhy6BJYvZ9fyMOAjZGkpd9Igsuz3Pan0WpwLtJ0cy1PLo9XSrwagvT5t14Nur3Ts7xXPu9iHhLfHjVt5hnIhd+L42NmWoWRQyJiabEGsasjshkZ+UX7Qj0D2N2KBX8xZnCmKORg4M0Bid/dgA/dcMq3srZT1E6QpYoQL9m/1cURVF6FqUCv4QxVyAKVq6MRApENmOqnEuq7bcN/mFxyyCKatcj+REujAIu9JzHh1OB1XFL0h8H+WrvVPE28j748B3wRYPnHgE+QNRMXfkWkd924SL8DZo8n9d2+Cn6rR7G/KFUYFiOuVoiyZe5BHexhO2Aa4D7Pec5iMbGTDXrINfm+4iKnSufI8IditJjUANFURSl73E+UhfGuX2pkJnfkTdMp7bfojnHWRSJFnjWoe1oYJtSgY9yzpVJqcBjiJJXlufEIjVhvDalKbgk4tdyVSMPVXLqf4HneJd7FCq9FynE6MrXOKjspZAlTZ3GxFJSWxc/AxI81xrGTIuf8bweYtz6cFGpoCFnSs8it0FTLBanLhaLCyd/agt8KYqiKBOJUoGPgc1wy6e5GSkSmcXt+Odd/IJsbKvJK0YzWanAj0ghz4tonOz/IrBWqcA9OedxplTgCmST+kSDJs8AG5QK3oZD2lxPAK94dBlLtsfjH8CDjuM9DxzvOnkSOrYJbobwj8AmyefrTCIu8QefPgkr5ujTDvIIO6yfJPW7sjP1uTlZFJAwOBceBk7zHF9ROo73D0uxWFwE+Cvyo1JxtY8tFosPA4eVy+U32rg+RVEUJQelAkPDmJWQzcfa1Cewx8A/gbNc8hZKBT4OY+4HNvBYxs0pBTU/8+hf169UYBRShPEoZIO4FDAFElp1falAlHP8XJQKPAw8HMYsihg3v0FC+B4qFbwMkDqSZPfZkUT5t5AQpKeAGR26H1QqUM5Y+5gwZlNEPnv7Jk3vA7ZL3ntnSgXeCmOWR8IZBzdo9hqwW6nACz5jJ+Q9TJ1Yh7B5lMH6IdfAV1kNE7bOMcf6iLz5aYjXMS2MchwS/rZPqeAv3KAoncbLoCkWi0sBjyHW/7/pKhC2KPKDuUKxWFylXC7XKtooSsuEMTMCu9O1afgBOS2qLcCnKJM0YczcSKHKgchm8jgkEXpm4GfgBeDOrLCRJOF6RiSE6xvgWGA13DaE35Eex38dkn/i8/sTUxUWE8ZMhyQ0L4Zs+D4FrisVeMljzLYRxhQRoYPFEaWqGHg7jHktR5L7FIihth+wRNVTY4A7kDpARwMLNRjiB+BPpQKpqqRJ/Z8dgA0Rqe6RiCDEPxGjZoOqxx9GJIS93tcwZhVEWWsmxJNWAg5GhIXmRz6zj5EQticzxpobkTdeGLlmhiOhdMOQsMqxuBcbrfA/z/btYkIoivl4cyr0A6YrFdg3jDkFkZJeD7kOfkD2exd1MoRTUVrF10NzFmKlL1sul1+sfqJYLC6NyCaehZ/yi6I0Jal8fhqidDRlzdOrIwX4LgL+rHG9yqRMItN6BLIprQ4pHg3cApxWKvC6wzirIhvqTelKYB6OJDTvhpzoNwtr+RbYKM1DUCrwWRhzNxIS58oliTdhKuQ3ZlekyGM1hyZytAeXCjznMTZhzGTIBq6SGP0hcF/WSXQYMytwJXLIUss2wMdhzP6lQl3YXaPxpgfuJj0kajKkmOGWiEEzDAgRo24AYkRdC1zToO4MYcwRwJHU1xxaHzF0LwQWynsfDWM2AM6gPk9qT+SaOA/Yz8XIS+q0lBB1u9rw+APCmGHAPsA9SGibD7d7tm8XbyEHDT6MAj7xaP+z5/jd+pUKDEcOQI7LOc5EJTGm9wYWQQzdz4CrgFvVs9S3Cax1VwMsFosjgb+Xy+VjGzx/CvDHcrnsG7/ZKykWi4OQH755y+XyRxN3NX2TRBXmGuREMYvbgS19T0QVpS8QxuyCVO5udlD1I7B5qZBeDyWMmRzZoDer8j4KOW1fAlEcm7bquf8l/f+R5PE0Wut8SHK/y2nya8gGfwxSx2WFjPY/I/kYmTVfkhyMI5ANUKHm6c8RA+6MtFCrMGY24Gmyk7zHAtuXCtyUsZbJEC/UylnrTtjfJzcnjPkHciiUxZ3AFqWCnzchjNkVMXSzcnNvBbZudp8OY2YHniRbeetHxGt4tvtKGQMMKhVyhz7mJoxZEry9iJeUCuztMcfFSNiYDx8Dv+vkb2cYMxDx2P0MfNXuucKYhYAbES9pGl8Ce5cKqs7WU2l1T+0rCvAzjSUgQU6IOlGVWZl02Qc3YwbkxPfgDq5FUXokYcyayGYyy+s+DXBbkptRO0bl8KCZMQMSbnYeEv40B+KR3wwJaZujVOCQZsYMQKnA+0geZtam8gUkwX8E4j3IMmZAvLi3hDFzNWuUqEE9ApxAvTEDkrdwHPBoEuJWyzW4KVb1B64OY+bNaLcZ7sYMwClJTZ9MwpjtcDNmQLwdR3isgzDmD4jx57Kn2IJscYGbcJMRngapTZRVQ6macyeGMQOQFJh9yqOLxb9OTB7p61InjJkwJghj1g1j7kJCUD9C9pAfhjFHJx7OdsyzEPK+NjJmAGYFbg9jtmrHnErPw9eguQ9x/zZiYzz10hUlA9cf4QoHJCFqijIpcSLueQTTIGFHtWyAe0LxACQc6MdSgYdLBe4oFRjqIelLUmRyYWB/oFZM5glgW2D5UoEvw5g5aJ60Xsu0yGFIM27ErVjocki43ngSg3BNj/VMQba8sK+U8PRkG58V/uQ59gGJx8iVQ/ALYT8g8Y7VEcYsh58K2YyI565pLk7CVcChHmPXEcYsH8ZcE8Z8Fcb8kvx9bRg7F57dEfH+ufBnX2GJJN/Jx8AbgRyGtJXE2L4T2RNuRPf709xIft27Ycw6bZjuFsT7k0U/4JowTj3AcCaMmSeMOS2M+SSMGR3G/BjGPBvG7NLoulY6j+/G7xBgpmKxeHOxWFy2WCxOm/xZrlgs3oLcWPSEXGkLYcxqNE58bcQgJBZeUSYJwpglcNuYV7NlkqNQje+Gel7Sc0eaEsYsE8ZcGsY8j5yqbgKciXh7BgH/z955ecunFwAAIABJREFUh0tSVH34XZadJWcQClBQtAkKEhQkC1xAcs4gudkFJChcgkoSZEA+JC0UOSg5g6QhCYIEQTI0ICypyTnfZfd+f5ya3d6506F65oZZzvs88+zemarqmpme7jp1zvmdWa1hFWu4LBHzvhv+OZ+7uhC6ZnNYDr/rxBphPNkiO89YasbOGfOZE1i1xJi5BmgYsyRilPkwD5I/lYs7jzb1HH82xGBtRpm6MjsjnsJ9oamy27+Bba1hx7KeiDBm5jDmVkSKeztgDkQAYg4kiuC+MKbm8qBScd7LFRB58TQ+BUZZw4ll5ooYui8WaPcVEl74TsnjNCWMGY7Iwa+f03RG4Dqnxlj2WKvjV9tqJBQP4WtyvCOQgrQHAfMjmzvTISp+5yPep2XLjq+UJ/MGEQTBBMTlmWQYsBSiYNL4PEicYtk6A4qSJMt9nNevUBKuogwULqRrLUQNqx6q9BKyO3qrK3RYhrxFQzMqiDLl39zc5nRz82UHxHOfiwsBu4S+YWOLu7m8h6hzNSuuWCTUrJG5kM/5uSavlSmsOJpJ4UJLlug/OzAf8p03e60McxRos1TJsX9Kg2cqhaWhuaGWw/LIArCRn5UY64fAtNZwUhhzMrK4nB/JX3reGp4sMeZEnLfhNvINwzWAWhizalZNHWt4GVg6jFkZMY6XYJL0+MWIsENeodv63EYCmyMiFHUVw/8gRtbBNBdVAKlpNNoa7i9yHE82R4QmijASCZPrEwZbkLBEn93CmCNLKBD+GTFkspgbuCOMWaWkFLlSkjzD40L6GjSKMlCMyG/SlDI3V0XpN5xH4CJEsjbJUohq1YthzHYla6g0y+/w7TcP5QotF6qrEcbMh+xsz5fRbA7gb2HM9NZwZsNr05aYG6TLS5fx4ib7lL3GjEx5vqwyVZEQv3bPtZF2fzdlx5sW+MhtDPzbPYCJHoNVkDyKHuAJa3jBY+xDKO7lWgYRKmi68A1jRiD5Ur9Cyg98AhwNXGkNPR5zqguBHE9fcY1VkIia6xHDdEtE9auuhnehNdzncyxP9vRsv5gzAP5Z4lhlDCEDzEqxoq8AOK9LnjFTZ3rker+o/9SUsmQaNFEU7ThA81CUZmQJUGRRND5ZUfodJ6VcI3uhthCSfN5VYqHhVV09pV9/18f4G9nGTJIxYcy91vBs4rnCC48GPkh5fqYSYyX7lLk29ZJeHPF1ZKHpG9v/UIE2b3uO6dsv7TPOI+07fZdiYgtJxtOktowTc/gNEmKUPP96w5g7gb9aw41ZA7swwV0957NLGHOYNXzdMNbeiHE0d0P7HYETw5iqNcUU28KY3wAnZTQZhoRz/gBYyRo+Kjr5VnDiFz45UHW2h1IGTdmIIN8NU18jbZEwZjVruNOzn1ISTZ5WhjLXQfN6Chl8hciCKsqgE0rdlKsptus8LaJA5ptUWuaGOQG4O/H3K5QzjJ7NaxDGLI5f7Y3h9A0Ju9pnUo5HMgoBFgrnaSB5LbqkRP/brOG9Zi+4ui9ne47XC5xRoN0t4L2YHQ/ZMtMJ7qOc0ZR2nb6ixFjXWzO5l8slft8HHElfY3oYosp3gwsjymI98FbjmoOGHKQw5nikeGmjMVNnLuAEJ6+dSRjzMyicX/Njip0n7aJswn0hb28T4hJ9vsLDEHeKiEUFU5LsUqKPUhI1aJQhi4sh/ptnt8utKb2bqyjtZivok3yfxVykJ0s3xRrugfximQ3cnFzsu0KMF3uOAaJ0lkeZGPcdnDFY5zL8PQFZ8rW3+0+JWuL/V4J3InVezRiLn6F1ozU8n9fI1dC5wGNcgH9YU6yYoxNu8DXGnnLnbTPOw7/8w2SfrTt3bqZYsvhBYcz+Ga8XkY9uxkQvUxizDcXV1X7javpksTd+67fNnFLgQFC2uHXZfheV6HOZZ3ifoXgIZhJfT6PSAkVEASYA00VR1JMiEtBIbxRFKgqgtIsjETnZzJoSjrfo0OrGyhRLGTWskObJ0lkcQ3GDZDxSzb2RU5EdxaILpXut4fEwZmlk4Tgc2S29o6HS/E8KjpdkJkTaNQKwhq/CmN+TbxTUeRSaigvUGYPkFfgw8djW0BPG7OuOMSy9y0RudI+JhDFzIEnkMyPesX8iydTXkb94egr4deGZw7FI3sZ3C7T9mOay3lmcjIQMFRl/Ahm5CNbwQRhzJOR6TurciNQTSrItfqIyfwxjzmhWQLVN+EpF/5aUa0AYMxv+3oLhiFLg4YlxVkS+s3mRa8IzwJlOsKAVXkTylHxztxql24tyCfAXyFaXa6BMrR5liJN347oQsX7HJ/7Oe5SxlhWlKdbwJnLTb6YMlOQ1pABfZkE/RRlgyiSsehsA1nAJicVKBhOA0Jq+NTtcXZisneokMRIe9zCiqHQBcC4S3vRKGHN4GE/MOWlLjLs1nI4kW+fxOLBuYwhSw1j3MHnIXR73NcbCu888JD//6B/AlnVFpTBmsTDmIiRv5hIkHOgipEL2aGAf0qvJj0OMqBWt6ZszkoY1vEWx6+h7wNrW8EzRsd347yAqeXlenW+Ana3JVqG0hmMpZtDcgny2jRutvtLPM5Ne56jsAv9lmJhM7quK92OngNaMgHLegiXcfH4RxjyG1O3ZHdkw3AAxMl8MY65vpeCli5Aooo6XpBf6CIEUPd4XwF4+XZqJr4QxM4Uxe4UxF4Qxl4UxpyTkpGPKCXfk/d6UNjKst1dFzMoSBMECyEVrwSiKxg7ubKZsXAzrr5EbVVI55Hlkt+X8gUp6VJSihDE9+Cef9lhTasFCGE+Uam0WavMgcLg13JIzxq7IjmeaetrDyHUvb5f4CUSO+TT865RMAL7TLOfE1Z3YB1mIJTflXkKMgzOKSN66ne47EBWoLJ4EVkvLfwljFkMShrcHZki8dCfi1bnWGjF6wpg1gGsa2jXyDeIpewGpdzI3Ysg8CZzjjBPCmHmQei5fAK/Wj5GFS5LfCbmO/ijx0hvIgtJaU1pEoF6TZm8kiT6ZK9KDLHJPtIb/eIy3mhuvsTDjA8h1/+IGbyBhzHeh1MbWTdawbpM5VBDjs1FJLIv3gfmcZ3Ef4K8l5nOgNRzfZD6r4GeM1/kHkndzI+Tm6b0MrOA2FL1xqo73U8x7CRI+WUZ+PnnMXZDff9YGypmIVPXE34qTvT4O+c1N36TPk4jHbHv38GF1FQUoTqtraq+dsyAIVgaejaKoqVJLEARzAItGUZQWG6sMEmHMVMgFeSTwfpZG/lDELVBOdTubiyI3t9eBV1qo3+GFWwzMglRHb7q4GaqEMdMjtS6+Bt4tob8/O7II+7gdhqNLfJ8T2d1+N1FAcVBIfLdfWJOqRJXVfwbk8/0SeT/1czIGvuc5XJkk17o07Z3APUhB2hWR7+wjZMGQtuufHGM2JL/kx0gdiW0QSeevgceQReSGQHeBKdXrQf0Zf4Pmlozf2L1IbZl5kUXzcCQp/YEi53UYMzWSqzQcKcZ4EFKYcdaGph8hYT+HWcMnaeNZw9MuB+Ovbk6fAW9YM/n3GMYsSr4xA3JfPhfxlEymrBTGjAxjdkA8Ocnifa+FMWchIUOpBok1fOzqtFyK7PRPQLwyLzQaBmWwhnfCmBORz20RJOzoC+DRksUb70ZCkY5Gfl/jgNdzcocav8eizNbsSRdeeA7FJXsBzk14CMtWjk8TEimr/vkRIsRQZD4LInlraV6iPjiP7KzINfBBRM2tiJftZfxV5JLHHYHcS25Frjm7IEZ7/fusG9NjGhUknTFzE7BaxiF+4tr4hrM/W9aYCWNmRcJuP9Oc4OL4hgLchVioabHaq7vXhqe8rgwwbhdvN/eoK72MD2NuQHYPbx8og6As7oK1KXITT1YUfho4PYy5sGgRsnYdO4zl2NB/x26VUAo5roHMPbnD+bpb/JyVtQPnFunbIbu5iyeevw9571eUqJvwczefLZl0Y/0gjDkPON0a/uczXiu4he3Gbj6rJp5/Ftnpu8AaPs7oPxVSS2I0sDaTvAVjwxiLJEr/DTjUc2peQhhuR3oP5EZeFyDoQRYvpzcLL2voPy1SWXwUUkOjzn+Qa8Sl1kiSdigFOPfzmN7SiIfqNYrlwdXpkyvjDILRyD2oHs5WFzMYk2fMhDHfR97jTkwqZPkVoqq1MXJ9/D6yq/wScHVeTkUYswzindmSSQvQD4Hzw5jTG2qdHEy+MVNnOHAECfECFwb0D+QzbWR+JN9w/zBmo2b1PNy9YHfkXlBPEP8GqVVyehhzR9l7QSiFJ7dFPt9keNWDyHeZ+jtKGW8uZJG7O5M2BCYg739MGPNCxlzL5sFMtsnnrp8jnWHyJ8T4bfbZN/Jf5LuoU3ZB2rSfNURhzH+Y/LdahC/wq1m1UhizTJZHzW2ibID8LldnkkfmBeQaeiASJjpjyhD3AFuV8QqGMT9CzrcdmZQ/8wVirK+DbHhOjWwwpZ0TJ5JtzNSZGjgMOAv5/eTxOZ7eHGdcbYF8lsslnq9vJP290zaiBxqvkDMnCrBdFEVNDZogCLYBLoiiqGxBxI5iqIechTHrIrsszdyoda4Gts2KNx9Mcm7idd4A1nE5AFPEsVvFLVL/jizU0vgciT/vE8/uFo83k53k+zjy3nM9Cm7xfyJSEyKN8Ug4QKlYah9cQvYNJG4cTXgLycV4tEn/GZBdv7Uy+n+MLMh8NnnGAwtYw+tFGjv1pPPITsA9D9i92Q68W+TfzOThR41EwK+s4eUw5mBEgMCHe5CQjuso9jlcBWyeXLCGMd3Ibm9WCMuR1nBYsxcKhqOMAfYu6OUZBpxAtnE3HviNNYxxhuBr+Oc+LGkNj7nz7V7yw+NAftcrJ8/bMGYDJF8nrZglyPm8nW2onZKHW1jeTLai09PItSJXOS2M6ULOgbRFMEzKS+qzwHMbFWPxlwE+AjnHNkcWysshmxRfIPfJixCjdNWMMe4BNrZmkiKfM85ewy9J/hvge9YQu3NtZuTc/dAaxocxOwPneIz3HHLuLejRB8TT1FR62HkRrmPyTcZG3kUW6Ysg6o1zIt7eR5BNiD7X1iKEUs/nr2Tngf8FCdtrush1UQev4+dBG4N4NH+fcey3gI2a5emkEUrh4ZvJzrkci1yHnys6bqfR6pq6jGxzlgW0PAztUJwgCOYPguDwIAgeCoLgwyAI3guC4K4gCFYf7Lm1Exd7fA3ZxgzAJsAlbsE5pHB5M7eRvys2L3BHGPepwt7KsWcarGO3ivsuLyHbmAE5N64JY37Z0H8BJHQpT7FoCeD2MC6kLnMC2cYMyGLXhrGXepM3LvzuFrKNGZBwptvDmIUb+o8AriXbmAFZhJyPn6Tt4R7GzCbIIitvobQTTRJuw5i5ke85y5gBCU26wxn4GxSZWwMrI/VAtobcxfKVyAZL0pjZD1HpyovH/2MY9xUNCCWv6GzyIxJGI2pdRTiOfE/VcOA0Z0x1US6Ru55XMJpixgzI73picUZnIFxJtjEDsBlwsc+9IBQp4DvJl6ddDPktzZEz3grIRkOWMQOSP3WlM14mwxnuZ+X0b+QbJALlOeQ3tTyT1kfTIZ7qWxHp8DWRGj2fIOuhT5DPdw1kwfvHMOaMMOboMGZJF2rnmyR/LUAYcziy6P4QMQ4+dt71JyDb85pgHBL+5WvMQIoXyIUM/4NsYwbEgLkO+Jc1rGINi1rDktawawvGzO7I7zTvPP0d2SFvO+EfDrg9cDzyWR6D5Gr1IJ7i+4EdkA0pH2OmnsuXJyCzAHId9vF0f6vIvXAFQbBPEAQvBUFQV2v4a/3vhseHyK5GZtXdIcCGiBv0RcTKPgoJX7g9CALfhK8hidvROYPiycgbIZ/LUGM/iktvzoEsMqaEY7eKz/c5AjjDnTN1/kzxQnKLAAdkNQhjlgD2LTgewMluR7q/2ItioSMgMeEnNDy3HRJeUYRpkUXBkXkNEQ/Dn4oMGkqi8ukU35TaKYz7LD4Op3h+z4JIDLmPNGqSma3hCsR4+jOT13AZjyx61gK2SHoI3O72sR7HOTyMJ70nFwp1qkf/PcM4+9wIY36MnwzvX0kvppjHzM7A8JX/XiUUNTXfe8EmSCHJovyJ4p6QHyIL6yzOoLjhtzbpwhQWv2Ki1yKhhwvktNsEuTdsYw0zW8NUyG+iLhN+KSJYESLv9dEw5gFk973ofD5BRA9eQsKckoUqp0dC8R5GpLv7hBY28CXicXq44LEbSVvwh8AvCo4xE+QXCy2C2zwrWlAUoLtxQypB0fknmRFYzBpetYZDrWEBaxhpDTNawwrWcJGvhxPx+uVtKtUxSD6Z0oQiN8OPECu0rhryfuLv+mMsslvwB/J3YQebu4DvRlG0TRRFp0VRdBKyG/McYtxMCXQhNw8f9sxvMnC4nbfdPbtt4Fy37Th2kTjZth+7Tfh+lz9CdhfrYXa+Cdy7ugV2u+YzE2I0tJ2Si8O1XWhWncYq9nksjSSVLoV4CpLx3F+455ZKC5dKYTP8CnZC4ntwHshtPftvj3/BwzqfA7iQozGI52ENROBjNmvYyBpuaxIesht+oTqN3+82+Btheeer7/c/A8W9K418jtyfyuyub4ss+n2L+xX6vbqdZd9aPjuGcfNk91Bkin1lzpt+F04JbkNk5zyPfyIL1aIqZr9C8jbq15O/I7v1aZtAyyIiD1Xyi8N+hGyOHUe+YTcKCfvdCvoUKX3XHW9Ra7jOHTdXBa8JaQIpvrLYvwxjFilx/EZ2JN/T2Eja77XdYg3eOE/XTp7dtnDhckoDuQZNFEUXRFH0yyiKfokYLwfV/048VouiaIMoio6JoqjsDS8VFyLWGwTBj4IguDIIgk+DIHgnCILjgiAYEQTBsCAIxgZBcF2TvjMFQfBlEATHuffzdBRFk4XFRVH0NbLg+F4QBG07WQeRMp6m1cKBqyRchNXwj4EeTnotgU45dku477BIkmMj9XNmK/xlhudCFk7N5jMV5T6XHUr0KcJK5O/CNjIVbvHvdvt8k3EBtreG/1rDbohH7/vuMYc17FZEgaxxvBJz2MSF24GEI/p6wWaknMLS08BHYcxWYcy9SD7Bg0jC+7+Bo1weRjPKvM/tU/5flK1cWGEfnMejjLG9OPgpCzruQlTmyjA35d5/lwtHzGMz/Bd3s0KqPG+Zua7QsNkwESu1hlaGVKWpj5HQvD2QMDIf6ovkPyChlHmMQLwtWyAhS40J/x+6uSyLeLOLel5/A/zPGlZBzpPFkQ2q+azhIGsYCxNrtZSJnrms8YlQhF2CEmO1IwKm1etBkraKNZRkHfA2Tkbiv5HwrcArbyKKogWjKLq+vyZTgCuRheNBSMzhAcBJURT1IspAawdB0CjZuAliiecpB82N7OYMyeR4T8oYJsMof+PsD8oaV+0wygbz2K1i8ps0pT73Vvs3MjP5eVw+47VKq99ty+eGNXxpDS+7R9kNoDLzqMublu0PYpz4KmGdh+QfXIJISSeZGVmUPelyXRopM895EiGUZfpPS7r07wzk53c0Y04k7MiHZ6zhbvBTEkwwjv69F7T7OtnStSeMmS2M+V0Y80wY82UY8yWSD3Mj8HMkAuNspC7S7sC81vBbZMOlaL2UOku5hb1PRMo0iKLXgYii3spILtDKibksC9l5Rk0YBeKVsoYnreGFuvpkQ45RH+XAHD5HCuY20mn35llc6GkjV5UY6zlreLJEvzQ6ea0x5ChbwXmweCGKono4zGlBEHwJ7BEEwfHIhetQZNcomRC4LfBkFEWpKlRBECyEGD6XOuOo0ylbT6DlOgRtZDDfQyd/fq3OvUxYApBaR6bd47VKq5/PUDk3But9vIXkGuQV1azzBrIjv0pOuwpwYRjzqTUkN83KzHN8InSt3d9XK+dzFfFkFlW8qyc0P4kYkb6L7iegtFhJkc+t7Gfb9mtFGLMdInzR6DFaDPF8fAHsZE3TWiILlDzutqTUrslgmzDmd04OvllSfxlBlK3DmFGuXs40yO79Hogneeow5kNExGAMIrhQtIDlH1LqL00p9+YbgVfJF79JckbJ46fR7t/QtxpvZasgCFYIguDGIAjeDYLgmyAIxjc8+nNRd1qTv4cBa0VRFAEPkYgLD4JgHiT8JtU7EwTBdMgN+nPyExY7hadL9PkSkcsbKpR5D630GyrHbpWXKJfn8HTDv2X7T4a7Ib7WrvHaQKvvL6LcTajd76fMeO/DxHoPrXwOOyOKPnm8B5xCvjFTZyrgpAaVrTLzfKbF/jEpCdwudGdsiTGfdvWAQoqFnh1ljdy3rOEloOZ5vM+RTb4y77/oe2z3dbLMeD1IftJFZIe/TQdcGsZs3uS1spuYi5boMx3ZgiRl8jCnBWYPY5ZExI7ORxQc6xvWsyLn3ePIb7KIp/CP1qQm3z9Duc9ssO7NLzarl2YN4xGBqKLv5WkkF6qddPJaY8jhZdAEQbAyEtO7LBIDPZX7+2HEsHgKubD0Fy+k/L2A+/ciYKUgCOruuK3cvC5pNlgQBMMRVZJFgE2jKEotMthh2BJ9Ls0qIjjQOEnH1IJeKXyMfJ8de+xWcd9hn7jnIl3dv1fiHyP8hDX8O+P1MnVlypzD+YManobJq0UX4DMk8beebOwbdjseP+nmIpT5fM61ZuLO3s2QXxOkgbHAba72xxrIzneza8Z4RDL+F/jLPC+AhOHUKfM+bcr/i3JWTi2a0nOyhnOQ95emOvUckj/2JxdCVc/l+avn8c53mwll5npxwWLB10N6Yd4UngfuTnntLPzzjG6kuOrVMOA8J4jROKcylN0lzwrBLeulWgjJFcoLRdoJEQjYhr7XwXHIvWNFa9IFklzx4zs85/cVzcPXfCn12wtjKmHM1mHMrWHMsy4s8Vrk2r4X+efdM8i1bMMw5qQwxoYxfwpjflJiPpMmJnlez3p2exsn661Mjq+H5lDkArYoTuUDOCaKouUQV/qCtP/G7cOlyAWhnqS3LfDPKIrSdojPQm4uO0RRlCd/2DG4wks+O3q9+EmbDhRFa0LUOSevsrcHpwzisVvlVPx20G6zhgjASU76GiB5n9VZ+HmNXkTqxPQXvufVBQ2hF77nxjVFa8sUxRr+BV51HMaRCJdwC3bfmPrTrGGC2wleF0noXxfx2JyAfK7dSB2GTdwxl/c8BkwuInE5fkIEHzL5ploNvwVDkfO/Uakuj5dhUvFaa7jFGn6OhAQdjhgr9Ur0RyDKbl8jGwtfhzG3IYnAReWrH8BJqTsD/i6PuU6gbyREU1y9F98QnFPTCh06T1SfIr85vIWfWtX09A3rOg9/r+u9+G8I1Pkw47UyRRPrimZF1fy2Bb60hhWBHyA5PMsjeTxbWVNow8f3GnixNW1Jpr8ev8/9c0TM6lWkwPGawMLIJvaGiEG8P3INu5S+RurLiKzyDcgm/kVI3tTuyHr4iTDmX2Fc6jpXx3ftZRMbU0oCX4Pm58DZURS9yySLdiqAKIpuQ77s/pQ+bpQirv/9iptD3Z26bRAEAeLabRpu5vJudgL2jaLo8v6Z7qCyI8V/+L8tW+SqP7GGi5CbTRHuR+oKtevYFw7WsVvFGh6heJ2MV+krG3kE+fUN6lxMTsVqa3gbUYYqsvv4MbBpkWrtZbGGyym+EHsYWaQn+99NsboyICFqvjLRRdmKdFnVJL3Abm7BmOQvFF9A3gB8EMY8ghhSV7jHv5AbfATsbw3HJYy3orWMGpnYzxnYm1LMIO4BNrdmklSvWzxvRvYiss4EYAdriLMaWcN7iNFVZBH8CbCJC29pHOcRazjCGvZDjKSTkGiCZL2gYYihcw3iFTvcjZk2/0uANRrEJnageNjn/tbwWMG2IHk+txVsexX5xtKuwP8KjncoTm7ek12Sf7jv+xrPMU5Daif58hZkFl0s482+Ef+aKqNBjEhruNca/m1NoWsJrt/1FPcaPk5+Edqix/0GyXcu4kH8BvHeXUL2tegHiFFxAhLy14XkGS2HqLn9ArkHpIk1rIAUvFynwJyacTqycVOEO6BYrbJvI74GzUgkyRMmVXxOKr48RvGCdWVo1MffE7lZ35p47kIkpvYoZI59KvQGQXAAsuA7Jooi352GjsBdpFcgO9b9YyDMiJUdCuyKaPKnKf30IheDNVtQjBqKx24JaybKkWaFEd4PrNC4gHOLyHUQYyXNsBiH3Cx2SNtxbRjzaqTg59sZzZ4FVrKGVAGPNjIaKVCWVgStF1nkrO5CrCbD1Yz5Ldl1Lu5A3k87ZT6Tc3gB+Y0/ntHsfWBra/qGe7hF9iaIBy3N2KyHy41HDNelmrT5KbIQu9YlJdcpq8412XdiDfcjuZBZOX6vAWtZ0zcUxhqeQdTVsuLO30EMj0ILC1fbYwOyvUcRsHKegeBqP91Ffk7GMohxtgiibHUbEhp7D2JYfN8atmk8X52BuQLiuUnjY8To9SqA6HaKN0DyNtKuFd8gBsBWeRsV1vAO8l1lbah8CvzGGo7Bv8YOyAK2kb0pnkN6oTVchniRGzcJ8jg7Z3f9NuS8Kco3lMiFBtZoteK8M8T/SPZmw43AqiniAmWP+wiSl9eYgpDkTWTDZ3+KiXDMAFwNfGANt1vDjdbwIFJfqEjY7DTA5WHc9NzKxN0/t0E83GnnxgTEYbCeemfSGdbbWzwyJQiC/wEXRFF0pPv7A+DEKIqOcn8fAewVRVFbi/4EQXA4ouH+JLJ7U0N2sbYCbBRFeyTajkRO5lmBq6Io2qxhrI2RE/cFmu+yXhNFUZ8FTMq8FkAuggtGUTTW600NIGHMz5AF3E8Ro/RtZNfi780Wa0ORMGZOxMDYAHGtf47c9E63hhen1GO3iqs7sh0ShjkXslj8LzL33OrRrsbDHsAvkYv+x8hN6iznefGdzwhkx31HZDdsPHIDt80Wo/1NGDMHEm6wEXLN+AIJJxljTX5svYvH3wFR/ZoTubk/7PpnGRptxRUlDBFVpxFIYntdsnYY8FEzL0Gi/3yu/1rIJtWnyILtTGRHsKj60mXWsJXF7jsLAAAgAElEQVQbcwbkWuxb76ZqDQc1meNUSFHDXZFF6TAkr+cc4Ias95cYYzXkfS6MJE2/jizGr2qWOFxgvBFITZ8dEbWkCUhOhgVuL2LshzFn4lfIt+nnU4QwZlnk95y8F1yM3AtaCpkNY76HfLZdyHf+CVLf7Rqk1kYFeLPohkUYsxRiuC2NLBjfRXI8Lqrn+IQx4/BXa/3Mmr7S266G17Wk15mqh+PtVz/XwpitSMnRbcIbwNJ5102Xl3EvImmeRS/ibdoEWK/gHJKs5EJXWyKMmRXx8m+KqL59gWyWjbHGOz/E57jDkBCy3ZDaO1MhEQfnIefc/kgong+bWSNyzu7aHuNXduCvztArRRgzD/J+1kG+/8+QjbEzrCklRtJRtLqm9jVoLgVmjaJorcTfazKpENQJwINRFJV1vaUd93DEoAmQnag1mZRkdnAUReMa2p+BXFg3jqLo2pSx0ij8QXaKQaMoyrcHdyP+NbJwre/6j0M2csa4RNSiYy2GiL34sJR1hULDmNPxC7mbACxkTfZueRjzUyTcaHrcwrmeB5ZHGBMgXoBpkVC0W1r1ojnDZj0m7f6/jBhZmUZSGDMzsmjyqX7+LjC/86SWmetMyIJpLuQ++rD1L+xa5DgrAvsgmwVJo+MJJMzmvLLvIXGMCFKLsqbxuDX8NGPMXyKG1PLI9/I+Ei7XdFEZxuyDeKuzZLVjxJNfSJ0qjFkciS5pDLOv8xGwpzVcHMZcT3Ep5iQrFsyX6UjCmBdp7o3LomaNFFkNY/bGP9/yIyQXaajk03YUra6pfXc2zgF2DIJg2iiKvkRkjldCdrhA3O8H+k7Cg3cSdWiyGIfcqG5qfCGKosOROGRFUZQpijDmF0jibGO89wikPsWWYcxVwHbWFCoiPDq/SdM+dY/DqYhHpei95vosYyaMWRfJnWjMGfi/MOZO4EhrmocrhTFrIfen1Rpe+iqMuQw4pohXrmHMaZFCz7sjxZmTvBPGnO3GTfOEb4GfMQPiCVwXMVB95vpd5LPbhgavWRjzIPB/RUPuChzrYCSks9kif3HEoNk+jFnPmkL5TWmcg/8ufF7O3114CClYw0lhzONICOo6TB4C9gHiMfi/vNyshjGfcIb32sjm7CLIb+gNJKz+4sSiuUyUwASGVpmGthLGVPA3ZkA+5zorpbZKZxbgJ2TnSSn9hFfsZRRFtSiKtnXGDFEUvYTsjmyE7BAsEkWR725eW3F1ZbYBLouiqGwMt6IoSkfh1MduI7/S+KbAZWFcKLZ84xJTmdjH7UiHFFPde5aGhO0kbif8BtIToFcDbg/jSbXIEn33QwRjGo0ZkHCmXwMPhjErFJhnfcyZEKncP9LXmAHxgBwC3O3CcppRNo/Bq5/b8X8IMbyahQAui5wTvsZBs2ONQnIP8gqBLg9c11DN3pdzoJBhXudz2iMfPBnWcLc1rI/k9GyOhKFuingRL6REPpk19FrDzYiH8zAkOuVURDUx6QEooyz7Dx8DqwMpe04l+/luNNTxCVFT2kiZZLLJiKLo8yiKro+i6B9RFA1aHZMgCOYKgmAbJB54FvxlBRVFUToZS/F8lQ0Q70AeaQvxLCarnm4N5yLeobQFVC9iqKxkDR80axDGbEB+WA/IguT8pGESxmyB1MzJ6zsLcIPLGyvCZYgSUh7LICFLzShbd6RwP5cDeDPFVOcODGN+U3JOdY/V0R5dVkJyQErhQgV3o5jB3Avs2M4E9SbzeQXJ810VyWF7FBHteCuMuT6MWbvoWGHMMmHM5UheyCWIeMdlwOthzIVhzI/dMZ/BT5ob/CXbOwpn8JXx/L2R+H/T4roFaMXjqLRAKYMmCIKRQRCsFQTBKPdYKwgCHy34/mBRpPjdcsCeURQ9k9NeURRliiCMWQb4mWe3IuFkZdT7+sSPW8MVwPcQla6rELnn24HjgR9awwY5eSy/J98gqTM1TJY0X1RiG8SA2z+vURhTr71WlF+GMas0ed5H0apsv1GA8Wh/qAvZKcM2+BvBjeqlXljD3xCPSNa5+jmwpTV9VU/bSRhzAPAIIjSS3OEfjkSx3OyMkRHN+ifG2RwpfLk59Gk7DbA98IALowTxbBYVaTnNmn6t8zVUKFPk/cLE/8sUr3yZbNVJpR/xEgUACIJgB2S3a1Ym3WB6EWv2t1EUnd/OCQ5lVBRAUZShQBhzClLx2peFrEmv+1Ey4fg2ayYutNLGnR/ZWf8pon71FuJdrzUqgzljLVeRr4EJSPjPQojh5MMnSGJvqiR3GHMBsoj24XJr2LJhnJGI5PScHuO8hHxvRRTUpkaU4PIqyDeyrTVc7NmHMOZm/Ay9Ot9xks2lCWNmQwyJnZEi3yDekrOB860pveNe9Ph7UTwy5Hxr+tT/qo+zIhLKmGn0OL4AlreGx8OYHyKeziCl7Xik9pRFftN1xc67nRTyFIXLQfIpVPo58rv/2PWfGqlx6LMZ0G0Nx3m0VxK0uqb28tAEQbAlIgDwGZJcuJF7/N49d45royiKogwc3y3ZLy8X4/QSY6aGs4Qxs7gE/JeBPyALq7WQHJZbgSix61ynq8QcpkLyF9Yt0XcmpHp6Fr8qMW6fPk7l6yzPccYUMWYcS+BvzEA5GWDIz99qd7+JWMMH1vAXJB9obSSHZXfEI9HfxszM+IkT7OgktJtxBMWMGRAv0KEwsS7Voshv6iakttIniFF3DJLb9hNEROAkd5y/AP8JYx4K41L5ckMWp3p4jEeXferGjOv/DXKNKspL+P+WlTbimzh1CGLxLhdFUTIO9fogCMYgyg6HIHGeiqIoysDQX7kYtyAhFEsUHO9ZpPZNH1xi/D0gsf8p/BC4MYzZOhEeNFPBYzcyI/m1PNLI61dmTmn5TUchBtSKBca4ieIV2qH8Z1f2c/NJ0E/ScmFityO/D1J3K1ln5k2nNndqq16gDHbEP4l8NA1qWGHMwjQXrshiozBmHmt40xUuvZGG32AYsyFwBVJ7qBk/A64OYw6xhj97Hn8o83tkcyOrbtN4YG9r+qrfWcO5YcxckPuZjAXWblGxT2kR3xyaADivwZgBwAkCnIe/JryiKIrSGj6hFXXGkyP56jwB60Ohom6vA+tmFLg8l2xjps7UwN8SVbfLJnF/AulhYznk9Sszp6ZjOvnstUkXDgAJ674AyTm6IIx5IYx5LYz5bxhziFt0NaNs4eSyn1sZudo3kbC70jg570eRfKHGopnzIDvtj9YT6fuBbUr02aKJwlsZz9gIMsL8XM2mS0k3ZpIcE8ZsXWIOQxKnFHcwsCRSJDj5e3gf8VAF1qR7oq3hWKT24c1IKGuSd4FjgWWdh0wZRHwNmrdyXu+leGKaoiiK0h7Opu/NNo8brOHNvEbW8BoitnIZUuOrkW+QxfhyaTVknHGyocfcRiKLU5CFhC/jEQnrO0v0/QpyCw7WSoyb2scaPreGzYDFEGne5xDFpWeQRdcKyIbiXcC2SG7QfEgO0tHAa2HctL7a48B7Jebqm3dU5wyKKY4lOcuF95TC1V66inwPybzArWFcKgQvjyIKco1Mg+SxJGn8uyhZQgwHumMVxSfMqiOwhsesIUQUGOdBvq+5reGArBzCRP+aNayD/O42R0QZ1gbms4aD+9Hzp3jgG3J2PrBTEASnR1E02Q5OEAQzATshXhpFURRlgLCGl1xCtk/OyKke478NbBXGzI3ku/wAEYV5CbjQmsnkTpsRUlylrM5OYczvreGxMOYBikkk17nRGl4P44m7/z51Wy5Lk49OMAb/XfnT8ho4Cd69k8+FMd8B/s2kRPdmVIDDwpiZrJmk0mYNX4cx5+JX8PpjRDHUG2t4MYy5DsmtLcKnSJJ6KxxLMe8DSIL3AcC+LR6zkbI1775u+LutHjXnuStSjDzJImHMqtZwd8m5DFmsoYf8jfms/i8zBRck7XR8PTT3IqoaTwZBcEAQBOu7x4HITtBnwL1BEKycfLR70oqiKEofdkNUeYpwnDXc4XsAa3jLGqrI4nw8sltZC2PuCWP2csUmm7GM77GQ3dQF3P+PpLgHqgeXDOzC3471OOZXiIpnJtZwH37en39ZU8pbBOL1yDJmkuzXpNbJqfjV1DixoXCjLztSTLr2a2DzVgo8hjGLkS/g0Mivw7h00cQ0ykj1vmQNnzY898+Sx0/rtwqUkuDOVClUlKGIr0FTA5ZC6glUEZ3ua5EbxveApV2bu9zjbvwLPimKoiieuPCxFZGK8Gl8DfzBGrrLHCOMmTOMuR14DPG6LAksghRIPAV4I4zZr0nXojvojUwD4CqmjyLfqOlBJIcnfgbWMAYpyplHD7A1MJerFXJnGHNbGPPXMGbRJu03g0Jyt49DOQWpMOZ7SBFUHyaT73YhgxtCn8VzMy7Cr25PH5xS1MpurGYhigD/BdawhltbORb+3geQsK41WjxuI2e0o4813I/8tny40yl6NaMVQQ1F6Sh8Q86a6qYriqIog481vA4s62pZjELUi6ZBklcvR1TLVg1jjkSUpe63ptiucBgzO+KlT6tzAaLk9X8u9OmIxPNlY8wn9rOGM8OY/wEHA6s3tJuAKIAdbQ0PNA5iDfuHMU8j4UbN5n8ncDWyOdf4ehewTxhzB1Jp/nU35oeuWOYfkcKGszf0+wAJ0z68yU58UXbBf+PxV2HM/M6Qwc31HndO/AkJS2wccyyinnayhyR0KtbwCbCDKzS5M7A4krz+FvB3a/h3q8dw+NTvSdKyTHQSa7gjjHkSkUUuwqeISEYz/kxxpdhesuWiWxHUUJSOwruwpjIJLaypKEon4JSOjqT5YvYZ4ARrUhdY9TGuQLwSRVm1biyFMVsBl3j0BbjXmubhRE7ednXEgPoYeAAxPFYApkUUjK4BrmlMOA9jVkc8WdMjRse1SGjbdeSH57wOrGANrzaMOQ3iBUnmFl1rTWtyxGHM5UhYny+rWdM8OiKM+S7yPc6JhNg9DNziJH/bThgzDEmg3hDxjnyBGMaXtuHzOQ4xUn3Zxhrv8zFvLgsB/yJfIKAH2CDLOxXG/IF8T1kv8Btr0nPhwpg5kHPW10O6ijXc49lHUVpiQAtrKoqiKJ1FGLMGstBan+bX/EWBc8I4vb5JGDMf/mFTyeT2q/BXwMySUn3OGk5DvAqLI0nzxyGL5jWR0LHLgVfCmF839L3DGo6whgOdJOsHSI2OIrkG87m2jfP5CjEM50MS4g8BbgpjRoVxav2ZIgxvdz9njF2KhB+uD5wM/NeF1mV537wJY7YAXkC8ZyGwJRLpcS7wehhzWBi3tA4pIxPdixhxbcUaXgSWB+7PaPYisGZeqJ01HIXU03k2pcnjwCZZxowb5z2anK85PKXGjNKJlPLQBEHQhRRAm52+yjW9URQd1Ya5DXnUQ6MoylDG7Ro/SvGY+H2s4eQm4xwOHOZ5+G+A+a0RVaEwZlvgbwX7/hPosiY1B4MwpoIslBvDz5rxO2s4IWWcQxDpYx+Wr4dNhTFzIqpgXSltPwEOzVt8psztRMopci3cLK8ijBmOiB6MJj3k/CoktK5sLZr6sfaGvudSEy5B8p68FyOujssriHpZUW6zpn+T3sOYpYDdgYWRz/k1JPzwNt/3GcashuT8zICcSze5XJui/X+CeDCLCiFsYY23EaQoLdPqmtorhyYIgoURN/6PSJfg7EUqHyuKoiiDy774JfgeFMac3sSQWKzEsadG7hVvAVjD350K2ilkex7uATbKMmYcf6aYMQNwfBjzcOPOswuH2r3gGElGAf8umFc0E3CKyys6xvM45+Nv0DyYYswMQxL18wonbgqYMGb1siFhYczKkO7xa2Br4Enyq7H3wRq+CWNOIjuPpJGmhm07sYZHgT3aNNadYcxXiIrh0sBqYcyryLlxa56BZA1PhjGbA1ci4Zhp9AIHqjGjdCq+rl6L6Pnvi6idLdjk8f12TlBRFEXxx4U6be/ZbR6ah5b5CsjUGZH8w1Xk/hkSctS4WH4YCUfqsiZbZjiMmRFZ4BVlGM0Ng9kQhU5flnT/WrKNmSRHhzEr+BzEGh4nO4SpGWNSnt+FfGOmzi9obWPyt/itL34TxpOfKx4cD1xcsG23NdxW8jgDThizSBjzCFLodUckpO0XSOjezcDzTuwhE2u4CckbuxaRW2/kPiSv5y9tmrqiDDi+N6mfA8dGUXRKf0xGURRFaRs/p5xsaxeSf5Ikr3BmGn36WcN/gV3CmN8iocsjgbdcDkJRtsVfWnaDMGbehiKgZeWkR4Yx81O8gGSdvZHFow+jEC9Qke/yH6QXxdw75fk0dg5j/uDrpXGiA+t5HmtuYBOKq3tNxBp6w5jtgeeBfYBZmzR7FfgDcJGrQfNlO9Tc+hNXY+cexOhOYyHg9jBmnbw6R85rtLE7b9dFBBo+R7xj7wM9Ycw0Lh9MUToOXw/N+8B7/TERRVEUpa2UrSXRLIn9ohLjPGwNz6W9aA0fWcPD1vAvT2MGyhXqHA4s0fDcBzC5ClpB3gZ2xT9pfxOXc1MYa3gCETrIk76+DilU2WcHPoxZFhFP8GFWYAvPPiCGdJlE/+VK9AHAGiY4mfB5EU/UhYgM9zmIx3EfxAgehyzie8KYG8KYX7lQvCGFE0q4lmxjps5I4KqMoraT4eS8zwIipMbRncATwHPAm04c4kelJq4og4jvRedS/HekFEVRlIGnbTUorOFBRFzAh1SVsjbQUqHOOm43+toS41wC/LhEvxEUD1GbiPv8FwL2BJ5KvDQO8aatag0bZXhTmhUGLcIiJfpk5Wn0R7+JWMOX1nCuNfzaGjZFagT9Ecn9XZNJBujUiBfpJuA+J288lFgX+b6LMgtMruaXhvNQXY8YfGsweT70LIjx91QYs4PH8RVl0PENOTsUuDIIgmsQ9ZKxNInHjKLo1cbnFEVRlAHlAeBDmofgZHFzyvOjgbsotvC8g+KKZmVouVBngjH41df5FPFYlVXKKpUr4opzjgHGhDHTIt/Dx808Mk0omwNVpt/7JY/1Qcl+TXGCDXdBrrfhF0AtjFm5hQKo7aaMoMAeiOBGKs7zczmwTs5YI4DzwpjPrOHqEnNRlAHH10MzDngacVPejmiqv9zkoSiKogwibrf+fM9urwE3pIz3ILJz/HHOGLcCGxdQKWsF71wLJI+iT4K9K0Dpo+x0kFv4vlliDgBxyX4TcZ6IDwoaMyDFFctQpt+dlDNO2q2udST5xkydnwIHt/n4rdAYGlmERZ2MdRYbIr/hIkwFnFxgTEUZEvgaNPWqvP9FdgKOTHkoiqIog89J+C0uj8xaJLvF/w+Rxd/YxEsTkPCd9YB1+nun2xoeAv7j2e1Ma5iQ8tr2SP2VLOqytnUVsTJ5RQ81k1QeAGr4G2DjkNA6L1wY33me3R50YhFtwang+Sr87eJqGw0Fyiq+5c1/tOd48yJGkKIMeXwt7+2Ba6Io8nHPK4qiKIOANbwSxqyPqF/NktP8KGs4u8CY7wLHhjHHAXMgIW0LI4upCcDMSKhbf/NbZKFeZBH6HHBa2ovW8LWrar8BsuhL5hZ8heSPnmbNJCPKGu4LYx7Hbzc9TVK5X3H1Ws5C8kmKcrU1vF3ykCcgEtFFCl6OAw4qeZw0NsNfFGMuxHtxTZvnUoa3kPn48Kk1fJH2YhjzHYrXbUqyLfnGvqIMOr4emumgczTcFUVRvu24quLLITktXzdp8gCwmTVei12A7yJ5lQ8gifWXI16aN8KYc8O4VNJ8YVyRzM3pW8+mkWeANfNq2zilrGutYU1gPqRezpLA3NawU9KYSbAnFJa5vYPi9VL6g78Ajxds+ybQXfZA1vAmkmOUJ/f9NbC1Ndxd9lgpfLdkvzI1ifqDNOntLPJy1r5DekH0vH6KMuTxNWgeoFzFaEVRFGWQsIbIGrZHFuo7Ab9DFuNLWcMvrPHbgQ1jlgMeAX5DX8/PtO4YD4UxG7Q8+Qys4XpEjviv0MdgeQ5RbFrOSdX6jBtbw3+s4TFr0nOGrJGChOQryt1G/+cVZeLCANdECphmMRZY3RpeafF4TyGV7f+EeBySfAGcDSzje+4VpGyNmbSQxIHmHIobynXyvH89JecyaOesovgwrLe3+O8+CILFkQvz6CiKvvXKF0EQLICIICwYRdHYwZ2NoihKPmHMakixxmUQGeN3Ee/KWUVCjMKYhYCHKKae9jWwmvMS9StOjnYRJNTosxSPSn8d+ztIXZoQmN893YsIJFikKOaWyG7314gE9hnW8PRAzTEx16mRvIjRwGqJlx5FFsWXZIUulTzmCMRLOCtSB+ZLN4d5kAXzk8AF1rQnVDGM2YoS+T9I/leayt+AEsbsj4TuFeFUa7ILpzplvDeRkFAfTraGfTz7KIo3ra6pfQ2aO5GL9fcRV/LL9JVt7o2iqEycZsehBo2iKJ1CGLMAUntiyZQm44CjXYHCrHHOAXb2OPSd1pSK3S9MGDMLsCMiXVuv8/IpErozxhqe7M/jJ+YxFVL1fhpEvngDZFGaVkyzBmxnTWkZ6pYIY6ZHFrifWVO6bpHP8ZZChCpWbPLyl0jY1P7W8FmLxxmJrFFm9+j2CvD9DOGIASeMOQQ4OqeZBUYXmXcYcxLiVfVhUWt41rOPongz0AbNWAq4cqMoWtB3Ip2IGjSKonQCYcx8SMjwvAWan2ANv0sZZxZEdti3COIi1vCcZ59ChDFdwJWQWSn9FGDfgVyshjGjyRAiSPAisMJgGTUDRRizMpJjNX1O00cQr15LBlYYcyx+eUAHW8OxrRyzP3BG4GhEZGE69/Q4JG9tjE/+URjzI6Qwa1EVtdusKV1vSVG8aHVN7aVyFkXRAr4HUBRFUQadsylmzAD8Noy5xRpub/LaryhX0X1j4M8l+mUSxqwC3Ei+0tneyP3OV7a2FGHMEuQUOUywEHAuInk9RRLGzIkswPOMGZC8m3PxK3bajCOAVYFlC7S9k+LhXQOKNTwK7BrG7Iv8hqcC3swTuUgZ6/kwZlekPlWeQMBLwA6+x1CUwcJXFEBRFEXpIMKYHyLJ4D7smfL8bCWnUbZfKi6861yKyTYDjHJegoFgL/zur+u43KQpld0olnNVZ5Mw5getHNAVll0TkSzP4gpg/cEUbCiCNXzmxD2eLWPMJMa5EFEHzCrwWgOWb0G2W1EGnFIVYIMgmAnR6f++e+oloBZFUb8WU1MURVG82RV/udb1w5i5rWmqTlWGtiaZO9Zm0j2oKKOBe/phLhNxRR238ew2DBEUOKD9MxpcnOG5u2e3YUg+VEufhwtbWy+MWRL57ruAGRBVupuRkK0BF2YYbKzhqjDmOmAj5FydBxGreBwRq9CcGaXj8DZogiDYFXHNzsCkm2Qv8FkQBPtHUXROG+enKIqitEaQ36QPw4Ef0Fdut6xaWX+onO1Yos8mYczMWVLMbeAHTMp18OEn7Z7IEGFeytV3WaFdE7CG/yJeIsVhDd8guWdXDvZcFKUdeIWcBUGwAXAmIvO5H7Lb0eX+/w5wZhAE67d7koqiKEppyoYWD298whoipECkDy/QPwWZyyySRyAqZP1J0RC4RoomancaZXKuoJxRqCjKtxRfD82BwLPAslEUJWUV7wiC4DxERacbuKFN81MURVFa49U29zseqV9SNIztL9aULnSYRVnFsv5WOnuzZL9Gb9iUQtnaMu+3dRaKokzR+O7cLQGc32DMAODyZy5wbRRFUZShwfkl+txtDWObvWANtyKbW0U41RrOLHH8Ijxfos/nZCdDt4w1vAbcW6Lr39o9l6GANbxLuc/jqnbPRVGUKRdfgyZvR64/duEURVGUkljDf4CHPbudnjPmX5Bk4hdSmrwB7JNXvbxFzirR52Jr+LztM+nLGM/2LwG39MdEhgi+n8enwEX9MRFFUaZMfA2ax4EdgyDooyUfBMEMSJLm422Yl6IoitI+dofC1devokCisDVcgggOrIXUXLkQWbhuBixgDSeXm2oxrOFfwGMeXXopVuiyHVwJ3Fqw7TfAnv0UljdUuAoJSS/KUdagqqmKohTGN4fmeOBq4NEgCE4GnnHPL4YULlsI2KR901MURVFaxRoeC2PWAK4H5spoegmwkzXF8kzcIvw2+ifpvwjbAv+iWI2Tg60ZmA03a/gmjNkUqXHyq4ymXwHbWTNFe2ewhnFhzPqIVPIyOc2PtYbjB2BaiqJMQXh5aKIouhYpGGaQHbnb3eNk99xeURRd1+5JKoqiKK1hDQ8iksKjgCcSL32FhPcsZw3bWMPXgzG/MljDM8DKwIsZzb4C9rWG6sDMSnChbesBGyIGX9ID8y5wLLCwNd+OXBFreA9YBdifvqGKvUjI3TrWcPBAz01RlM5nWG+vv5c7CIJZELnmBd1T9cKa/antP+QIgmAB4GVgwSiKxg7ubBRFUYoTxlSAaYBPOz3cyRVvXBcpxvgTRDr5TSTR/jxr+GAQpwdAGDM74h37CnjDGnoGeUqDRhgzDPg5shE6DnjaGl4e3FkpijKYtLqmLmXQKIIaNIqiKEOLMGY4YtwsitTSeQO42lWNVxRFUYYgra6pc3NogiAYDhwNjI2i6IyMdqOA+YFDoyhSK0lRFEUZMMKYEcABSEjdfA0vnxLG/B04zBreHvDJKYqiKP1KkRya7ZCbRJ7s50NIUc2tW52UoiiKohQljBkJ3IhsvjUaMwAzACHw7zBmgQGcmqIoijIAFDFotgBuj6LokaxG7vVbUYNGURRFGVgssGaBdgsCNzsDSFEURZlCKGLQLI0omRXhLvIlGRVFURSlLYQxCwLbe3RZGNmoUxRFUaYQihg0swHvFBzvXddeURRFUQaCPfAvEj26PyaiKIqiDA5FbgKfAnMUHG92ilejVhRFUZRWKRJq1shyYcyMbZ+JoiiKMigUMWiepvgNo8u1VxRFUZSBYKaS/dSgURRFmUIoYtBcDawRBMGGWY2CINgAMWi+FVWPFUVRlCFB2foyn7Z1FoqiKMqgUcSgscCLwAglq0UAACAASURBVOVBEBztCt9MJAiCBYIg+BNwOfC8a68oiqIoA8EtJfrcb40aNIqiKFMKuYU1oyj6MgiCdRGN/4OBg4Ig+ATZ3ZoRcfcPAyJgvSiKvurH+SqKoihKkjOAA/ETBhjTT3NRFEVRBoFCN4Aoil4EfgrsA/wLGA/M7f691z2/VBRF/+uneSqKoihKH6zhFeB8jy5PA1f0z2wURVGUwSDXQ1PHeV5OcQ9FURRFGSqMQjbZ1slp9z9gHWvo6f8pKYqiKAOFr3a/oiiKogwpnIGyIRJ6NrZJk4+RzbjlrOHVAZyaoiiKMgAU9tAoiqIoylDFGr4Bjg9jTgDWAhZB7nGvA9dZw+eDOT9FURSl/1CDRlEURZlisIYJwM3uoSiKonwL0JAzRVEURVEURVE6FjVoFEVRFEVRFEXpWNSgURRFURRFURSlY1GDRlEURVEURVGUjkUNGkVRFEVRFEVROhY1aBRFURRFURRF6VjUoFEURVEURVEUpWNRg0ZRFEVRFEVRlI5FDRpFURRFURRFUToWNWgURVEURVEURelY1KBRFEVRFEVRFKVjUYNGURRFURRFUZSORQ0aRVEURVEURVE6FjVoFEVRFEVRFEXpWNSgURRFURRFURSlY1GDRlEURVEURVGUjkUNGkVRFEVRFEVROhY1aBRFURRFURRF6VjUoFEURVEURVEUpWNRg0ZRFEVRFEVRlI5FDRpFURRFURRFUToWNWgURVEURVEURelY1KBRFEVRFEVRFKVjUYNGURRFURRFUZSORQ0aRVEURVEURVE6FjVoFEVRFEVRFEXpWNSgURRFURRFURSlY1GDRlEURVEURVGUjkUNGkVRFEVRFEVROhY1aBRFURRFURRF6VjUoFEURVEURVEUpWNRg0ZRFEVRFEVRlI5FDRpFURRFURRFUToWNWgURVEURVEURelY1KBRFEVRFEVRFKVjUYNGURRFURRFUZSORQ0aRVEURVEURVE6FjVoFEVRFEVRFEXpWNSgURRFURRFURSlY1GDRlEURVEURVGUjkUNGkVRFEVRFEVROhY1aBRFURRFURRF6VjUoFEURVEURVEUpWNRg0ZRFEVRFEVRlI5FDRpFURRFURRFUToWNWgURVEURVEURelY1KBRFEVRFEVRFKVjUYNGURRFURRFUZSOZerBnoCiKIqiKMqUQKVamw7YBlgLmAn4FLgN+HtPd9fngzk3RZmSUYNGURRFURSlRSrV2sHAgcAsDS9tChxXqdZOAP7U093VO+CTU5QpHDVoFEVRFEVRWqBSrZ0O7JHRZGbgSGABYJeBmJOifJvQHBpFURRFUZSSVKq1nck2ZpLsXKnWirZVFKUgatAoiqIoiqKUZz/P9vv2yywU5VuMGjSKoiiKoiglqFRrKwI/9uwWVKq11fpjPorybUUNGkVRFEVRlHIsU7Lf0m2dhaJ8y1GDRlEURVEUpRzTDHA/RVGaoAaNoiiKoihKOd4Z4H6KojRBZZsVRVEUJYNKtTY/sDUwD/AN8BRweU9315eDOrF+olKtDev0WimVam0EsBESEjYN8C7ynT3f5kNdB5yGn8elB7imzfMAJub0bArMAXwJ/Bu4dEo9VxWlzrDe3o6+Zg0qQRAsALwMLBhF0djBnY2iKIrSTirV2g+B44D1geENL38InA38oae76+uBnls7qVRr0wJbAaOAJYARiAfhYuD0nu6uFwZhTisAGyBFKj8H7gZu7OnumpDTbyqgG9gbMUCT9AJ3AAf1dHc94jmflYAQEQCYGoiBC4ErgDOBHTyGu6Snu2sbn+MXmN9ayLm6eJOXP0SMrsN7urvGe4y5EjAaWAOYEfgEuAUY09Pd9UDLk1aUBK2uqdWgaQE1aBRFUaZMKtXaEsDtyE53FvcCa/d0d33R/7NqP5VqbVnEy/CdlCa9wAnAgQPhtalUa+sDRyGGVSOvAMf1dHeNSek7HLgU2CznMF8AG/R0d91RYD4/BC4Dlkxp8h5wuHvknSsAHwDLtdNIrFRr2wIX0NfobuRaYLM8o6ZSrc0GXAWsmtHsFmDLnu6uTzymqiiptLqm1hwaRVEURUlQqdZmBm6i2AJ1JWSHvuOoVGtLIUZbmjEDMAz4HXDSAMxnd2TR3cyYAfgecFqlWjs55fWjyTdmAKYDrq5UawvkzOeHwH2kGzMg58gpwMnAWznHfQcxfttpzPwUOI98YwYkBO/InPFmQLxYq+aMtTZwc6VaU3EDZUigBo2iKIqiTM6vAePRfuu8xfEQ5QJghoJt965Ua6v010RceNMYiq1L9q5Ua3s09J8R2NPjkDMVaH8ZMGeBsYYBfwDWA/4IvNHwegwcASzR0931sMcci7AvEiJYlD0r1dp0Ga8fDvy04FjLI+F9pahUa8tWqrVNK9XahpVq7Udlx1EUUFEARVEURWlklGf7qYA9gIP6YS79QqVaWxn/gpCjgX/2w3QADqCYl2Fi+0q1dmYip2YHihtndXaqVGt/6Onu+qrxBZdcn+WZaWQEsHlPd9dBlWrtz8hnOxPwKfBkT3fXN55zy8WFhm3p2W1mYBsk/6txvGmBnT3H271SrR1d9P1VqrWRSC7SKGDhhtfuBk7p6e662nMOQ4pKtTYH8jmuDEyP5DBdj4gz9DnXlPagBo2iKIqiOCrV2tw0LLQKsmqbp9Lf+C5cATauVGuz9nR3fdjOiVSqte8B63p2+z4S9nST+3vVEoeeHfgJ0MxrskeT5/LYxRlI44DHSvT3ZSnK1bNZgSYGDbAJMKvnWAZYB1mwZ+JCOW8EVkxpsiqwaqVaGwPs1WlKe05Z70RgV2Bkw8sbAydUqrUjerq70kImlRbQkDNFURRFmcT0A9xvsFiwRJ8RwHztngiywC6zHlk58f92f2+LlRhrDoqFqLWLaUv2Sws5+0HJ8b6f18Cpz11DujGTZDQiDNExVKq1qRFxjT3pa8zUmQ04qVKtHT1gE/sWoQaNoiiKokziowHu12mU3jWvVGszVqq1ed1OfZKsnI4skv3a/b2VjWDxyWdplQ9K9nu/rbOQHKI81gF+6THmAZVqbSCNw1Y5HPhVwbaHODU/pY2oQaMoiqIojp7urveRYoS+3NDuufQzL5bo0wO87tOhUq1VKtXa1pVq7R6kjsnrwEeVau3hSrW2s8vbKBvCluxX5vN/BXgi5bXGxP4i9CAyzgPFg5SbZ1qOyssl5/FSgTajPcesALuUmMuA45TefEMU9+uPuXybUYNGURRFUSanaZ2TDL4CzumPifQjZeZ7ZU93V2FPSKVamxd4CCnQuVLDy8u4OTyJLIg/LzGfaxP/vwp427O/zSjUeVGJ+Vzd091V5n2UwiXin+XZLUJkmZtxFf6erjeZlMfUFKeqtpbnuCA5PZ3AZkg+lg+/rFRrZXL1lBTUoFEURVGUybkcv6TuE51np2Po6e66H//E9dOKNqxUa7MiNW7SasrU+QGSUH5tTrtGHuzp7vpv/Y+e7q4eRBq5KK8ANuP1K4B3Pefkawi3g9OAsQXb9gIHpyXbu+Kw53se/ywngpDFzJRbb85Wos9gsFTJfkXlsZUCqEGjKIqiKAnc4ngd4OkCzc8FDu3fGfUb2wMfF2xbdUZQUQ6muFrcfEiCe9HQs2+A3zc+2dPddTo5hSMdryEFLlNzUNw5MIriOUPnAS9WqrV9K9XacZVq7ehKtbZlpVqrFOxfip7urvcQ78fYnKbjgbCnu+uanHaHIV6zIjwEVAu0+7LgeI18UbLfQJMmAtBf/ZQmqEGjKIqiKA30dHe9iahvHYmE1TTyMLB9T3fXLp0mL1unp7vrKUQq99WMZuOBI3q6uwrX2HE5Bb6y0OsAW5Nv1IwDduzp7rq92Ys93V2HAesDdzV5+UPg/4Cf93R3PZc3oZ7urquQ+jZ5HogrkZozryKyvQcAhwCXAq9VqrUjnKRvv9DT3fU88HNEGeythpfHIQVCV+jp7soNT+vp7voEWA24L6fpHcBazquTN+ZHwDN57ZrgY0APJr6hjnXeaessvuVoHRpFmcJwyjBzIHH9r/VHQbdOxoXCzIXc6N/o6e76epCnpPQjrsjdnMjv4fUC4TFJxiG5FJch3oZZ3XNP9XR3PdruuTbDFSKcD1HPerudNWAq1dp8SCL7KsiCeA8kDGYksjD+O3BmT3dXHyGAnM91HfxzCqZBpKSXAX6LeI9mTLw+DklmP6Gnu6tZ3ZgkjwF7Ib/z+dzY7wC1nu6uQt6CSrU2PVJj5UEkbG4HJEm9rrzV4+ZzK3A8cs1txlzAH4FfVKq19bOuNy2eqx8hXqLLERnlqd04j/R0dxVecFeqtbmQ7247YCHknOhCipZ+AtwCjOnp7ro3Y4zZ3fvoQe5B45BwvFM93g/0QwifqzM1K5Kz9XpGDlVa/9mQ77TH9e9BDNfDKab2Vucd0nOZlBKoQaMoUwBOA39jRElm1cRLb1aqtbOR5NcyajhTBJVqbRgiqTkKWWzVvdMfVKq184HTe7q7yqg+KUOQSrU2HNgI+T2slnjp7cTv4bWM/osj9SS2ZVKdkvoCdsxAGDOVam0hZP47MqnY4YRKtfYP4HTgljKeoUq1NiPwa+S3sGjipaeAM4ANe7q7Pk3pOxzYkEmfa30B93alWjsHOMN9rvP6zssxX09310vAnpVq7SDkWjYLsvi8v6e7q9H7kJzbTO597dHkfZ0O3FXEmKlUa8sg3/2WTKrz8hViKGyEKIGNQNTMKkhYYpoxk6QLWdDv1nC8rM+0yLn6PeQ9J42tXqCGvO9c1TXnPdrMzSFZJ+Z1RHRgr6zP3o0xFeIZGwWsmXgf71aqtXORjYG3gLnz5uO4tae7K02BzgvnMdwKeX8/S7z0cqVas8A5LnQvrf9UwHquf/K9vefe2+nAncDqHtM62xlDSpsY1vv/7d17vGVz/cfx17hsuZYUJreh+KJyq0Qo+lmR/GJExkguRaGUilW/yLhVu5T7JcldySj8UoNNyaVIRY1+fDAMFSr3yxhrcH5/fL6bPXv23metfTn77HPez8djHnvO3uv7Xd+11z77rM/6fr+f79BA9pSPCiGESfiX2+pmNru/rZHxqlSuvAGfUPuBFps9B3w8S5MZI9Oq0SPe4b4I+FiLzeYBn8rSpJ3MRjKKxAvbn9P64mIOMCVLkwVS/ZbKlUOBb9P6buupwEFF7+7mVSpX9sQvJFsNU5qOD3nL3cMYsyrNACa12OwBfH7JPXVll8azYCUtys7Bh42tTIEEAjWOzNJkWtFCpXJlHfy4Vmux2f3Ah+uPq66eo2kwN6dOuTr8rlSufBEfYpbXS8BqWZo8HMt3+ln9GHAh3gPVzAxgl2bZ12Jvyi+ATVvU8TSwU5Ymv25Sx5J4wLddizrm4j1VX+O1AL2ZmcCWreY45VUqV96CZ2FrlZziP8B/Z2lya4PyS+A9tNu3KP8ifmzfIN8Cr7OA92Zp8nipXJkwqENWu63Ta+oxE9CEEFbB71BsB6yJj/udCRxjZtfVbbt73HZd/BfrEXy87TQze7DAPiehgEb6KE44vZYFU6I28iKQtBoqMNbEnpnptA5mql7Bg76f9bZV0ivxTvPV5FvAL8Mv3F+da1EqVw4CTsy5uxOzNPli8Va2VipXdsEvoPIMX5kO7JrngigOL7uFfL0n/8AvuKoX3oviF8Z57kDPA1J8rkpRU7I0+WmRAvG4bsWHhw3n78Am1eOqq+cw8q9OfzQ+ef5uYK2cZaqOzNJkWnxPr2L+HsRm5uHzVWo/q9sAV5JvpM1VwPZZmrxc+2RcA+h6fLjhcOYAW2Vp8oe6OhbGA6I8i0q+hPd+7QxszYKf8bnAT4CDszTJm6yiqbiA683A23Ns/hQ+z+jVuT7x2K4APpKj/Mt4MPxVPKtbMwbsB3wU7wFeAX9fZuJZ9y4aydTfo0mn19RjKSnADsCh+GJh1S+mZYBrQwh71G27Pr4Y1XF49+h5wLbAbSGEvN2hIqPBnuQLZsDHxZ/cw7aMRtuSL5gB/z48pZeTd6XnppJ/NfISNWP6453qPBmbqr5QKlfeUWD74RvkNyhOIf9Y/F1o3WNS60jyDwVbGb9gr9qN/MNpFsUv2Czn9lX/BobLwNXIUeQLZgBWwe+izycGRdMK7PPrwHspHszAa+/jVPIFM+Dv6as9XvFGzWnknzawLR5E1NuPfMEMwBI0DvZ3Il8wA97er8b2BOAYPE30Wfi8qS3wGxI7lMqVbWPveicOJl8wAz608bi653YkXzADsDA+9O+dwLEsmCjgLuAg4Jd4EPllfPjdBPz8boQHNLNL5Urev+lSYywFNL8BVjWzqWZ2qpmdCLwPv4My310XMzvUzPYws+PM7GwzOwL/0L4ZnwgnMij2L7j9+qVyZbOetGR0Kro69Yr4XCQZTEXP97qlcmXL+P99aD10p5Giv3/D2RmfcFzEsMcch6XuVrDe3eOQqFz7qLM2cE3BMj8AFi6VK3uXypVzS+XK9FK58sNSubJ9nMOwgJjgY0rB/dQeV9V++AVpXgsBexfcb9VS8bHoe7pOqVypBuvb4hP/i2i0v6Kf301K5cqGOeptZXW8Z/TeLE0Oz9Jkb3wo47Z4GuiL8ZvMM/AMcd+KiW4KifNK9x12w/ltUypXat/Xose2GrB+liaH4cHzO4FNgJClybrAqsCXaH3D4k3A1aVyZZOC+x73+hrQhBCmhRCGQghrhRAuDSE8G0L4dwjhOyGERUMIE0IIs0MIVzQou0wI4YUQwncAzOxvZjbfpC4zexEfO7laCGHx+jrqVIeavaEbxybSa6VyZV2g/o9LHuMiaI8XO63GdDczLt6fsSZOos97t7lW9Xzv3kHZbmmnDdvHoTWt7MRrE9zzWhKYXCpX3or3RhS1FD4/JI/r8Yns/8DX9dkTD+4+jQ9nmlUqVxq9N+0c11L4nfdabb3vbZQBeKpPn9X3l8qVVao/xOQHoYM2UCpXVmL+JDTt1PENPHhJWPBC/814j86t8T0rYivy99xVLYT3nFEqVyaSvwet1icAsjSZl6XJnVma3JqlyT0xQPlKzjoWB86LPXGS02jpobkUvzvyVTyN3SHAiWY2hE942zaEUD+JbCf8btqFw9S9Ij4hem79CyGEN4YQlg8hvBtPdwhKoyeDY+IIlxs0y9Ped9x4eX/Gmk5/H9opv0ycNNwt7bRhYYbv1Wn3vVmxg7IT8Uxhp+PzCxoZAn6MZ7/6Bs1Xhp8EXFgqV77cYB/tqB9a3k49KwB/aqPclW3uDzr7rNaX68Z71+4Q/YkApXLlM/hQyOGsDlwVexoL7aMNK9Y9FtVsvwcWrGctfJ6R5DRaApp7zWxyHCq2Gx5cfDaEsDqe6q/EguM/dwdmmlnTtH4hhLfhgc+lMTiqdw8+zvE2fHja58ys0WJcIqNRkTUKao2XVJF6f8aXTs/3aPi89KoN7dY7r4OyWZYmL2VpcgAekByFBwD34evEHIcn8LmD/MPGvlsqV2rn8nRyXK1+ziPDg7UiXsCvb0bDZ7Ub713b7YjzxfIEM1VvxXvs8ur0+Lr2uxgzBO7SRl2farMN49JoCWjq0zueinc9bmNmho+rfLWLNYRQ7Qps2jsTQlgCzwDzPL5ibyM74UNSvoQPOVu6yXYio9HdtPelO7PbDRml/gm0k/ZzvLw/Y809eCa/oqrnu501L+7u8sK17bThcTxTZ7frBX9v7qHBCIecZQHI0uQfWZockaXJu7M0WTNLkw2zNDkE/7tbJFPcBHwydVUnx1WrnXpm4r1L/zfchjWOj6mI+/FZnYOnrq76G57Zsd02EOtrJyPXTPz6a4WC5T5bYBhWu9/j1XIP4KN72i1fayKelKeo1dsoM26NloDm3iY/T4qPFwBbhBCqGVqm4F9sP2lUWQhhYXxi2TrAx8ys4Ze9md1gZjPM7Hi8B+jwEMLn2j4KkRGUpUk7WYFewjPKjHlxfY5z2yha9K6rjALxQnF6wWIv4+u9gE9KL+qMNsp0u76zcyzQdw1+gVbEfcC1WZo8SfH39RXgzBzb7UDxeQ61E7evBmYXLH8vCw4tb+vcx4U6P8yC1zCNnENc46YLn9Uz8eF6Rfw4S5Nnqj/ExTp/VbCOudR8p2Zp8hy+xlcRQ/j7vUPBcuC9NLkyC2ZpcieesrmIp/BrR2Lq5OGmNNQbovHvcLvro4yNdVVGyGgJaIZzMf7LXM3SsjvwWzNrtnruD/GsZZ80s9/m2YGZPYB3h7cz2U6kX06i2Jfe9CxNhrubO5acTrFerBuzNPlLrxojPXcyxX4fLq9Zhf1KfMG7vJ6hvYC5qSxN/kSxi7CMHEFQXAC0aMr2k2vWtzmJYnfzL8/S5KEc27VazLGZhYgT6rtwXFXTGb6Xq9a/ee3C9yH8OL6L95bVuwPYJ0uTfer2W/S7+9X3NEuT+/D0v3m9TE2K8hp511yquihLk/pjPIXmc6QauSpLk3sZfnHNZoqUO6Fg3WdlaTKn5udTKXZs1zRZuPVhfLhhUfe1UWbcGi0BzZpNfn4QIGYvmwHsHkIIwLtoEjmHEL6Lp1P8opldUrAdi9N6QSSRUSVLk5vxlZfzuJPiaSgHWvzD/ynyXTj8nZjhRgZTXPQvbyahu/B0vdWyL+Mpu5/Ksytg524s/tfAbni2r+G8gl8o3z/slu5EPD1uHpdQEyhkafJH5h/q1crd5E+XWzRNdlVtZrMTyJ9N7RIaXNjH3twdyTfEaA7+OVmqVK58sFSubIcPDUrx9Xsm49+z++KLeG6Ypck59ZVkaXIbxd7T/eqe24f8F7wHNbpRk6XJtfjcpjz+TIPhgVmazATyjmyZBewV/9/u4pG5y2Vpcin5A94biD1oNeWrfzPz/P24H8/O16gdzxMD4ILGxWiKbhktAU199ocD8Q/Q1TXPnQ9sgK8p8yKeGW0+IYRD8D9m3zSzph/iEMICOc1DCO+K9beTtUSkb7I0KePrCTzZZJMhPPXp+7M0yXOxNqZkaXIBPiHz0Rab3Qi8L0uTPBeSMoplafJ9fPJwq/lTvwK2iEN/asvOBDan9RyFB4APZWlS6bStjcQeo/cBN7XY7BFglyxNcg/3ib0ZU/CegWZD1F7EA4Sp9b0YWZqcgN8caNQLUTWDBu9rC63qylUuHteu+IVrq+M6ngbHVVPPH/AUxHe32O89+PXJgXjQeR3eU3JbzWvXZWlyepYmZ2Vpcmurg8jS5HiG/6zOADZv8Fn9D7AZ0Opz+BiwZ5Ymp7VowxF4oNIsOB/CA+Gt4hCzRnWcAewB/KdFW64FNotDpcG/c4t6Ap/7k1uWJgcBh9M8EHoZn9awbQxs68ufyfDHdh1+bPWLadaqnys+nL9laXJ9wTLj2oShof4N0QshTMNXI56JR+4VfKXYKcAPzOyzNdsuhn+JLwv8zMx2rqtrMn6X5l4a33G4zMyej9vOwe/UzMTvyLwdv9uRAZuYWaMuw0btn4T/cVvdzGbnKSPSK6VyZXH8d+fjeP7+uXhCjTOadIOPK6VyZVH87ukn8EmaGf4dcEaWJnf0s23SfaVy5XX4he6ueFrjucAf8fPd6qK1Wn5z/C77WvjNv4fweRBXxYvonouLGFZXH18UH7pyIT78qN0sTJTKleXx4GQbPBnOM8BV+ALVU/B0sdXnZ+Dv2exYttH7+qe4zV0F2/FOik9wfwpYqW5o0HDHdQ3+u78mPv/2QeCcZp+DUrnyQTzQWCNufz/wo1j+FFrfDL4T2CZLk4fzHlCL9/T0nJ/Vt+Ofkw3xXq9/4XOMpze6SG9Sx5L4kPuPAcvhQ6R+jyc+2ILXfg8eBC5sdHylcmUxfD7ybnja4xeB2/GhmS8CiwCPZGnyaEzB/E+gSNrz72VpkrcHtr5trwc+ic/dWRYPcH4LnFkz7LRV+Wq23anMf2xnxJ6cPG04Ek9PPpxn8RuQ4+rvUqfX1KMloAnAt4AP4b/I5wFfM7N5ddufAXwGmGxmlzepq5lX36A4LG1rvJt4CTxQug44Os6lydv+SSigERGRARZvhvyI1xLu1HsFvyjdP0cCgqL7vhHvFcvrhCxNDs5Z91vweXTb0zgI+TV+TMPe8CmVK7viQUKeLFszgU3jUKOBFBcmPg4PTuoXL30JuAI4uFUwUCpX1sOHo03FF2oF7/G5Fj8vWwC5ziV+83m9LE2KJrcYVUrlyv8A0/AbFI38A9gxzqcbV8ZKQLOsmQ07FCaEcDJ+B2FFM+v7WhEKaEREZJDFO89X4SurD+eXwA5xvlG39r85fkOxlGPzR4D3ZGnyzxz1rooPa1p1mE0fx4dTNU3zWypXFsZ7aYarq9bnszRpNBF/1CuVK28GrgfWHWbTh4Et4yT/+jo+h8/batWbdQXea/ORYfbzAn6Rf80w2w2EUrkyEe/9rR8tcDrw8056XwdZp9fUi3S7Qb0S15WZCvx0NAQzIiIiY8D/kC+YAb/w/ALw/W7tPEuTm0rlysfx3o/6noBaD+PzHPIEMxPwi+U8AchywC9L5cqaLYZnbZ+zrloH0Diz2CCYzvDBDHjK7V+VypW31/bclcqVvck3GX8HfKrAkfj8ozc12OZ6II1znMaEmGn0KPInZJAcRktSgKZCCMuHEKbi4zjfQPEUjSIiIlInziv7TMFiBxZY3DCXLE2uwLOX/oAFM409ChwDbNSqF6XO1niSn7xWweceNrNzi9eaWSfObRkopXJlU+ADBYq8DZ93Uy2/OPC9AuV3An6HZ4j7BJ6U4gz8Yv/tWZpsNZaCGemdQeihWRdfuOlfwIFmVmRVXhEREWnso/gE5yLWABJ8on3XxIQCny2VK4fiwc2SeObG1+GTuX9aKleG8MQ/Z8ZU0s3s30YTDsCzXTXSqOcgj+XaLNdP7aT2P4DXFjrfjeJrzBwQh5NdRPGFOkWAPgc0ZjYNnxzVapvryTcJT0RERPJbp4NyPZnPEFez/02pXNkYOBvPQlprS2DfUrnyyloZqgAAFfBJREFUB+CTWZpYg2o2aWPXG5fKlQlN0jq3sygieJKjQbNFG2U2K5UrC8Xsf7sNu/WCti+VK0tnafJsG2VFgAEYciYiIiI9sfAIl8ulVK5shqeQbjVka2Pg5lK50miuRzsLdi5E88QEt7RR37PAII4oKZJGuWpCTbmiPX7gn6d2e8FEAAU0IiIi41W7C8n2bAHaUrmyFHA5+S6slwOuKJUr9dcy7SzY+XyLpABn4+uOFHFBs4UoR7l2Fl+ex2sLV7abtKno+ysyn0GYQyMiIiLddylwEsXuyj8B/KI3zQF8YniRu/Vvw7OQ/W/Nc5cCXy243+nNXsjS5LFSuXIesF/Oul4ETo4Lfe4MrIBf6N8BzBiphVnbdAVQdPHKK2qG6t0ObFSw/CP4PGmRtqmHRkREZBzK0uRpPINoEedmadLunJI8PtuFMmfgi4EWcdowr38BuCFHPS8Bh+Arwv8dODX+/xjgSmBWqVz5UoNepdHidHzxyyJq37vT29jnWd1c20jGp9H6CyUiIiK9dxgwO+e2dwPH9qoh8SJ/vTaKzpeiOUuTB/FFHfO6OEuT21ptkKXJXGAb/OK9WUD3N+DzeACzG43n5EzC0xpfHBfsHFWyNLkf+GGBItdkafKbmvJ/Am4qUP4FPF23SEcU0IiIiIxTWZr8C/ggHqy08hdg6yxNnuhhcxalvaymizV47ivAWTnKXg7slWcnWZrMzdLkQGAl4GDgQnx42+l49rUP4MFMniFzuwDfzrPfPjiQFkPwatxI4zV6pgAP5Sj/EjA1z2KpIsOZMDRUtGdRqkIIk4AHgNXNbHZ/WyMiItKeUrmyGH6RfQCwac1Lv8V7JS7L0mTeCLTjSXwR7SLuytKk4cr2pXJlR/wC/b+YP1j6PX5cP+7WnJZSuZJSLEh5AVi5x0FiW+LiqXvj7139nJh78SDutGaJFErlykrAefj73sgDwP5ZmlzdnRbLoOv0mloBTQcU0IiIyFhTKleWBJYCns3SZM4I7/s0ii+MeXiWJscMU+8aeAKBCcCDWZoM1yNVSBwudx+wesGiX8nS5HvdbEu3lcqVjYC18FE9/wTejPfqLQU8DfwSuLrRGj4xrfZn8BTciwIP4wuYXjXKkyPICFNA00cKaERERLqnVK68E/hrgSLzgFXi0Llmda6H9zRMxlexfwGf53Ea8KtuXFiXypU1gXvaKHp1libbdrr/kVAqVw4CUuAtDV6eBRyRpclFI9sqGSs6vabWHBoREREZFbI0mcnwGcdqTWsWzJTKlcVK5cpF+Pyf/fCehUWApYEP4+mn/1IqVyZ11Gi3dJvllurCvnuuVK6chCdaaBTMALwVuLBUrhw6cq0SeY0CGhERERlNDiJfpq1jsjT5ZqMXYgaxS4Cpw9TxDuCGUrkysVgTF/DMCJcbMaVyZV88e1se5VK5sl0v2yPSiAIaERERGTWyNHk5S5P9gA/hWchq1yh5EbgIeF+WJoe3qGZv4KM5d7kKxdI8NzKL9oaczehwvz0VkwMcUrBY0YU5RTqmgEZERERGnSxNKlmaTAZWxNeaWR9YMUuTT2Rp8vthih9QcHeTO+mliRPizyhY7Hk8E9ho9l/AmgXLbFUqV9bpRWNEmlmk3w0QERERaSZLk8eAx/JuH7NybVhwN4sAe9LZ2jDnAF8AVsu5/fezNBntQ842a7PcpsBd3WyISCvqoREREZGxZI02y721k51mafIUsC2e2ng4ZwNHdLK/EbLECJcTaYsCGhEREZEuiOvbvBcffvZcg03uBPbN0uRTjdZtGYUeb7PcqFssVMY2DTkTERGRseT+NsvN6sbOszT5J7B/TGH8UXwO0IvAHVma3NSNfYygy/FheBMKlHmBUZ7sQMYeBTQiIiIyZmRp8udSuXI7xebRvESXJ+hnafIsnpFtYGVpck+pXLkO2LpAsYuzNHmyV20SaURDzkRERGSsObXg9pdlafJIT1oy+A4H5ubc9kngWz1si0hDCmhERERkrDkHuCLntg/h2cmkgSxNbgF2wYeStfIE8JEsTe7tfatE5qeARkRERMaULE1eAXYFLhxm05nA+9U701qWJlcC7wZ+BMype/kpfGHSjXKsDyTSExOGhgYhycboFEKYBDwArG5ms/vbGhEREalXKlfeiS+0ORl4I35BfjM+LO2qGPxITqVy5Q3AJsBSwNPAzVma1Ac5IoV0ek2tgKYDCmhERERERDrT6TW1hpyJiIiIiMjAUkAjIiIiIiIDSwGNiIiIiIgMLAU0IiIiIiIysBTQiIiIiIjIwFJAIyIiIiIiA0sBjYiIiIiIDCwFNCIiIiIiMrAU0IiIiIiIyMBSQCMiIiIiIgNLAY2IiIiIiAwsBTQiIiIiIjKwFNCIiIiIiMjAUkAjIiIiIiIDSwGNiIiIiIgMLAU0IiIiIiIysBTQiIiIiIjIwFJAIyIiIiIiA0sBjYiIiIiIDCwFNCIiIiIiMrAU0IiIiIiIyMBSQCMiIiIiIgNLAY2IiIiIiAwsBTQiIiIiIjKwFNCIiIiIiMjAUkAjIiIiIiIDSwGNiIiIiIgMLAU0IiIiIiIysBTQiIiIiIjIwFJAIyIiIiIiA0sBjYiIiIiIDCwFNCIiIiIiMrAU0IiIiIiIyMBSQCMiIiIiIgNLAY2IiIiIiAysRfrdgAG3cHxcOYTQ14aIiIiIiAyolePjwi23akIBTWcmxscb+9oKEREREZHBNxGYVbSQAprO3AZsATwCvNzntoiIiIiIDKKF8WDmtnYKTxgaGupuc0REREREREaIkgKIiIiIiMjAUkAjIiIiIiIDSwGNiIiIiIgMLAU0IiIiIiIysBTQiIiIiIjIwFJAIyIiIiIiA0sBjYiIiIiIDCwFNCIiIiIiMrAU0IiIiIiIyMBapN8NkPEnhPAeYC9gK2A14HHgd8BhZnZf3bbvA74DbAQ8A/wU+JqZzanbbjHgKGAPYFngL8DXzey6BvvPVad0rt/nuqbMMsA9wArAZDO7vBvHJ6/p57kOISwE7AfsD7wVeBa4DTjKzP7Y1QOVrp/rEMJE4AvAe4F3A0sBW5nZ9XV1LQfsA3wUWBtYFLgL+L6ZTe/2cYrr1/mu2f71wDeAnYEVgX8DN5nZbl07SAF6cq5z15e3zmbUQyP9kAI7AdfiX2pnAlsCt4cQ1qluFELYALgOeB3wJeAs4DP4B7zeucDBwIWxzleAGSGETWs3KlindK5v57rO4fgfTemdfp7rMnA68NdY54nAesBNIYS3d+XopFa3z3WIda6Mn8NmNgWOxS+KjgG+DrwAXBJCOLzTg5Km+nW+CSG8AbgJ+DhwNn7T4gxguQ6PSRrr9rnOVV/BOhtSD430w/eBqWaWVZ8IIfwUmIl/+PeKT38T/8O1pZk9F7ebDfwwhPBBM/t1fG5jYApwsJmdEJ87H7gTv9B5f82+c9UpXdPPc13d31rAQXEf07p9gPKqvpzr2DuzP3Cpme1Rs+8r474/DhzRkyMev7p6roE/AW8ys8dDCDsClzXZ79+ANc3swZr9noZfLH0thHCcmb3QnUOUGv063+C/60sCG5jZ4zXPH9vpQUlD3T7XeesrUmdD6qGREWdmv6v9cMfn7sX/WK0Drw4RSoDzqx/s6HzgOfwipWpnYB4ezVfrmwv8CNg8dm8XrVO6oF/nus7xwJXAbzs+IGmqj+d6EWAJ4F91TXo0PuoCt8u6fa7N7Nm6i9Vm+32gNpiJzw0BlwOLA5PaOiBpqV/nO/bO7Al8NwY/rwshlDo+IGmqB+d62PqK1tmMAhoZFUIIE/D5DY/Fp96JX6jMN/49/mLcAWxY8/SGwN11vwQAfwAmABu0Uaf0yAid6+q+tgO2Bg7tVvslv5E417HsLcBeIYTdQwirhBDWxwOfR4DzunpQ0lCH57pTK8bHx1puJV0zQud7C2Ax4F8hhGuBOcCcEMI1IYS3ttt2Kabb57pBfR3XCQpoZPTYHVgJuCT+XL37+kiDbR8B3lLz88QW21GzbZE6pXdG4lwTQlgU75052cxmddJgaduInGvgk4Dhc20ewv8Arg1sbmaN6pDu6+Rcty2E8Ebg08D1ZvafbtQpuYzE+X5bfDwTeAkfgvoVYGPg1/GuvvRet891fX3dqFMBjfRfCGFt4FR84t8F8enF4+OLDYrMrXm9um2z7WrrKlKn9MAInmvwCYhvxCcPywgb4XP9DD635mR8AuoB+MTSX8QLXumhLpzrdve7EHAR8Hp8npyMgBE839VELo8C25nZJXE+3VRgVWDvNuqUArp9rpvU11GdVQpopK9CCCsCvwSeBHYxs1fiS9Vx74s1KPY65h8X/0KL7WrrKlKndNlInusQwgp4ZrMjzOypDpsuBY3wuV4Ez4zzhJkdZGaXmdnp+FDDNYEvd3Is0lqXznW7Tga2AfY2s5ldqE+GMcLnu1rmkpr9YGa/ivvfrI06Jadun+sW9bVdZy1lOZO+ibnlZ+B31zYzs0drXq52Ozaa5D0ReLhu22bbUbNtkTqli/pwrr8OPA1cE0KYFJ+rjrNfPj73YJxQLF3Uh3P9fuAd1N2hN7N7Qwh3oYuenuniuW5n30fgPXGHmNlPOqlL8unD+a7WWZ/wA3wtmmXbqFNy6Pa5Hqa+tuqspx4a6YsQwuuAXwBrAdubmdVtcic+ZvbddeVK+GTgO2qevgNYO4RQv87Ie+PjX9qoU7qkT+d6VWAV4F7ggfivetHzg/hzoztB0oE+nesV4uPCDZq0KLpx1xNdPtdF930gnoL9eDM7rt16JL8+ne8/xceV6upcCL/I1ZypHuj2uc5RX+E6G1FAIyMuhLAwvlDSpni34y3125jZ0/jaAnvUXdDsgY+rrV0V+lL8wuXTNftYDB9fe7OZPdxGndIF/TrXwLeAyXX/qgvvfTv+PF8qSelMH8/1PfFxSl17NsIX8Lu9g8OSBnpwrovse1fgJHzujIYTjoB+nW8zuxu/0N09XhRX7QosE/cnXdTtc52nvqJ1NjNhaEgjLmRkhRBOwCds/4L5s1wAPGdml8ftNgJ+h3+hnYWvKvxl4Ddmtl1dnZcAO+JZrWbhuevfA2xlZjfXbJe7TulcP891g7ZsCfwGmFzdr3RPn3+vr8HXMPgZ/kdxIvB5vHdmIzO7r6sHO8716FwfFv+7Dj7p+2y8J/UpMzslbrMxcCM+nDTF1ymqVTGzRsOTpAP9Ot9xuwQfqnQ7Pol8IvBF4C5gk/o1TqQz3T7XeesrUmcz6oqXfqiuFfLf8V+tB/FF0jCzP4cQtsZXCj4ez2T0Q+BrDer8JHB0fFwW+CueFWW+C9yCdUrn+nauZcT181zvgKdznQJsh2fKuRE4TMFMT/TiXB9d9/M+NfVVL3DXBUrAm/EL4Hpb0Xi+hXSmX+cbM6uEELYHjoz1Pof3zqUKZnqi2+c6V30F62xIPTQiIiIiIjKwNIdGREREREQGlgIaEREREREZWApoRERERERkYCmgERERERGRgaWARkREREREBpYCGhERERERGVgKaEREREREZGApoBERERERkYG1SL8bICIigyWEsAbwVeD9wKrAi8CjwB+Ac83sNzXbTgPuMLPLG1TVrfZsAOwY9z07Z5lpwBE1T80DngZmAb8HzjGzv3bYrh2BDcxsWif1iIhIa+qhERGR3EII7wZmAh8HrgEOBo4Efg28D/hYXZEj8GCjlzaI+5nURtlvAHsA+wLHAncDnwLuCCEc12G7dmT+oElERHpAPTQiIlLEEcASeM/DX+pfDCGsOFINCSEsbWbPdljNDDP7Y129XwKmA18OIfzHzMod7kNERHpowtDQUL/bICIiAyKEcDfwJjN70zDbTQIeaPSamU2I2+wK7I73sKwAPAvcBHyjfrhXCGE2MBvvEfo2sAnwBHAejXtBzjOzvVq0b1os9576gCa+/sbY/iFgJTN7Pj6/MXAA3hu1MvAy8FfgODO7rKb89cAHGux6bzM7N24zEe8h+giwIvAYcCVwmJn9u1nbRURkfhpyJiIiRcwClgsh7DTMdv/Bh3IB3Bj/v0fNcwCfA14BzgQOBH4IbAHcHEJYs0Gdq+JD2x4EDgFOBn4eywN8s2YfPyh0VHXM7AngMuD1wOY1L00G1gYuAb6AD1N7I/DzEMLUmu2OxY8b5j/2GwBCCKsCfwR2Bn6MH/8FwBT8+F/fSftFRMYTDTkTEZEijgES4GchhHvxHpXbgOvN7K7qRrFH48IQwgXA/WZ2YYO6tq32fFSFEM4H7sB7Yg6o2351YF8zO6uuzO+B/YCKmV3fycHVqfYSrQVcHf9/jJl9rW7/JwG3A4fhwQlmVgkh7A5s0eTYTwYWBTY0s3/U1DUduAU//mndOxQRkbFLAY2IiORmZr8PIbwL+DLwYWDv+I8Qwo3AXmZ2f866qsO4JgBLAyW8Z8eA9zYo8gRwTqfHUMAz8XGZ6hO1AVgIYQlgcWAC3nP02RDCMmb2DC3E3pft8WOZG0KoHb43G7gP+BAKaEREclFAIyIihZjZTGAvgBDCavhckU/jw8WuCCG8y8yy4eoJIWwIHA1sCSxZ93Kj+TezzOzl9lteWDWQeTVACSEsj/dS7QAs36DMG2q3byLgQ74/Ff81kisoFBERBTQiItIBM3sQOD8OLbsR2AzYGB+K1lScQ3IDfvF/NN4r8zw+Cf8EYKkGxeZ0r+W5rBcfDV7tSboGWAc4EZ8D8zSeGGBvYCr55qZOiI8X4kkNGnmhvSaLiIw/CmhERKRjZjYUQrgVD2hWylFkMh60fLR2IU6AEMJy+GKdeXU9XWfMcjYZD1iqwdl6wPrAUWZ2RN32ny7QrvviayUzu7Y7LRYRGb+U5UxERHILISQhhAVuhoUQFsfnfQD8X81Lz+FZwOpVh45NqH0yhLAvnsK4iOfiY6P9FBaDmen4kLNjzazaM9Ssze/Ag5+G7Yr1vcrMHgd+BewUQtikwf4nhBDe3NFBiIiMI+qhERGRIo7H0zb/LzATHwa2Cj7cai3g/DjHpuoWYOsQQgo8BAyZ2cXAjFj2ghDCKcCTeO/Odnhq6CJ/n27D0z9/PYSwLD507QEzuzVH2Q+HENbGb/AtC2yIBydLA981s+/WbHsX8Dfg0JgQwOIxfya+F++qq/sWPDX1aSGEXwLzgFvN7AFgf7zn54aY2e322IY18Pk556OkACIiuSigERGRIr6EX3BvDnwMnwT/NJ7iuAycW7f9AcCpwNfxIAHgYjObFUL4ML52zP/gvR834wkGTgEm5W2QmT0UQtgHSIHT8XTI5wF5Apqj4uM8fD7P/cDZwDn1i3ua2cshhI8AxwF74okM7oz/X58FA5qf4AHSFGAXPGDZGw+2/h6zxaX4+/kJYC7wd+AX+Do3IiKSw4Shoa4PPRYRERERERkRmkMjIiIiIiIDSwGNiIiIiIgMLAU0IiIiIiIysBTQiIiIiIjIwFJAIyIiIiIiA0sBjYiIiIiIDCwFNCIiIiIiMrAU0IiIiIiIyMBSQCMiIiIiIgPr/wEGqUcXnDAbfQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "apa_df['vcs_first_commit'] =  pd.to_datetime(apa_df['vcs_first_commit'])\n",
    "pytime_df = apa_df.dropna(subset=['vcs_first_commit'])\n",
    "\n",
    "fig = plt.figure(figsize = (13, 8))\n",
    "sns.set(font_scale=1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"vcs_first_commit\", y=\"py23_compat\", data=pytime_df)\n",
    "plt.xlabel(\"Start Date\")\n",
    "plt.ylabel(\"Compatibility\")\n",
    "#plt.title(\"Start Date / Python Compatibility\", weight='bold', size=20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def py_3_compat(x):\n",
    "    if x >= 3.0:\n",
    "        return 'True'\n",
    "    return 'False'\n",
    "\n",
    "apa_df['py3_compat'] = apa_df['arch_compat_min_py3'].apply(py_3_compat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, 'py 2'), Text(0, 0, 'py 3')]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (13, 8))\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.set(style=\"white\")\n",
    "result = apa_df.groupby([\"py3_compat\"])['vcs_committer_count'].aggregate(np.median).reset_index().sort_values('vcs_committer_count')\n",
    "ax = sns.barplot(x='vcs_committer_count', y=\"py3_compat\", data=result, ci=None, palette=PALETTE)\n",
    "plt.xlabel(\"Committer Count\")\n",
    "plt.ylabel(\"Python 3 Compatibility\")\n",
    "#plt.title(\"Figure 14: Average GitHub Stars / Primary Topics\", weight = 'bold')\n",
    "ax.set_yticklabels(('py 2', 'py 3'))\n",
    "\n",
    "#fig.set_facecolor('#45AFDC00')\n",
    "#ax.set_facecolor('#00000000')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, 'py 3'), Text(0, 0, 'py 2')]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (13, 8))\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.set(style=\"white\")\n",
    "ax = sns.boxplot(x='vcs_committer_count', y=\"py3_compat\",data=apa_df, palette=PALETTE, showfliers=False)\n",
    "plt.xlabel(\"Committer Count\")\n",
    "plt.ylabel(\"Python 3 Compatibility\")\n",
    "ax.set_yticklabels(('py 3', 'py 2'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Hereditary License')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "timelicense_df = apa_df.dropna(subset=['license_hereditary'])\n",
    "timelicense_df = timelicense_df.dropna(subset=['vcs_first_commit'])\n",
    "timelicense_df['license_hereditary'] = timelicense_df['license_hereditary'].astype(str)\n",
    "\n",
    "fig = plt.figure(figsize = (13, 8))\n",
    "#plt.yticks(rotation=90)\n",
    "sns.set(font_scale=1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"vcs_first_commit\", y=\"license_hereditary\", data=timelicense_df)\n",
    "plt.xlabel(\"Start Date\")\n",
    "plt.ylabel(\"Hereditary License\")\n",
    "#plt.title(\"Start Date / Hereditary License\", weight='bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'License Group')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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smQL7/wnuZa1/t7og9Wrodp/000gKiYxbRdCqWQf5fw+c6iD+dOj+KOx/HOp3Bq8rdhz0+hfsvA1KPwGtvk09p0Lmb6SdcMnOY0aJ9hI6IGT5Jdpi4QuNwnkL7Knin9j9odYbRqVfwNbLCZm7S6sXDT9a8OTNXRil2YoQn332GQ888AAAn3zyCcOHD2913OPxcMopp1BRUcGll17KE088cVBSfuCBB7jpppsYOFDfR0ePZK00WwrDHHgXdtwcOvljk/lT6hXG6q6cD5svCr8I6/EUZP/RWN2KrkvJFNh+XehQ3hY7ZP+vLAb0hvzu+1/Z6TZK1RLYfH74YAzdHxX/q2D4G2DblVD2eeh6nIPEbydYSO/63bCqD4YShDoyYdTe0D5Jnn2w8UwRzkKRfBn0/0jfQrbwJdh1V+i+WmNE2Nj3t/BBT2JGwOAFsuhckW08T1n/TyHlMmNlOkJT4tq2yazbEt0HBs0OnEfJ54bNk8NHbYwdB4O+Ea1hKMq+gm1XhPHns0LvFyHzV6Hraou/Vt7ZlbNDnxdzHAyaBY5U/XXnPwl77w99ji1B/McSTtNfbyA8+2DjJKjbHPq8QHNhzwOw/4nQ5expsvjPD3NeE47uMHylaEW3XBJm3Fsg53HRpBW9KCbFTb8nTBJNnz1Z6glnitvtIfAWyvj117Q+ZkuU6I49/mZOO9mEoffibIjqLnNiZXf9psQWB4zac8j9xpRmq4sRFRXF9OnT2wlbCxcupKqqCocj+AfyqaeeavX322+/TX5+/kEhromUlJTIdVihAKhcEF7QAlkMb79OzC/aJk8MRt22xo+Kjt3uvfdCdA/ZMVQc2VQtCS9ogYy5/L/KIj3/8fDmhN0fMSdo1e+GLRfoi3q3789i9pIRJI/R7l+HX1CACDubJ8PQZYGFo5IPMCRogZgcVc4OHIYaxPxn8/nhBS2Ass9g16/FnyfkedNg15200mYFbLsG8h8T35uCZwIn3LU4xF+m9/PNOcbSrhPtiV4c3cVs7VCy977wghaIz93m82DYivbaqe3X6guP714GW38mgnrQc1brELQA/LDrDhnPRiwHtt8UXtACqFkBWy9tFJx1mKYeeC+8oAVibrzlIhj2kzkfMGgxF8IIWtA4F+6G3MYkwIUvhhe0QEwdi96ArN/KmA+FoxsMminatS2X6thg0CDvfuj3MQz7URKg+6pl3lhdkjJh3Rh9gsr+v8smVc9/iOlj/S55Xs7+kHJlZPwcd99t8L24XDZ5jfhsag1Q/Grr4EJHACpARoSZMGECX3/9NX5/6w/oV199xbhx43A6g9irAhdffHGrf1lZWcTExLT7PSbGQJQfhUIP+/4SXtBqQvOIFkIv+//P2Ms07xEx11Ec2RjRVGleMWEdNDt49KyYkdDvA8j5s7n+FPy7vQlRKPb9RbQZbanfA0UGosfVrBKTxEB4dPhjGC1X+qnsmuul6NXwIebzHiGsoNWEv0Z8kYavkGAJmXdJFLvUn0PO3+W3pHMleXHJh+I7l3UPWA2YomU/0PGgEkZoKIYCA9Hy6jY3CtItcK+Asi/011E5VzbBgrH/CQMRKv3GfOlq1kGpgdx3Vd/pE8w0gwnJfRXi+2gWo3OhuHEu+Btg31/1l/MWiY9V/8/FJL4ttgQxUxy6THzO9v9Dv6ktwL5HGuuJE41OU+TPgn8ZS5mQ96hosTJ/BT0fhx6PiblzJASt+r3yLtFLzWoRcItfN95WkYkyhxklbEWYyZMnU1RUxLJlzfa9brebefPmccEFFxzGnikUQajd1OiDYYDyr9vb8AfCWyk7V0ao2yzBORRHLvW7xOHbCJVzxddl8FwYsaHRpPQBWaAP+R6GrzKv8fTXQvFbxsp4dgfO5VX0Mq19z3RQ+ELg3836RYQqF6ytoPgarykI1T+I9sIIpVNEQIk7QUJ6D/hEhK7qHySq4vbrYNdtsO3nEt4+/2/Q82l9uZa6/QGy7jTWn45S/Hp7X5hwtH0OhS8abzfYs2woFEHCCO7lUP2jznYj2NeWVHzb3r8xHAf+K9ocMxidC5pX5kLZZ8Z8sACKXxNt85AFMHwd9HlT/D/7fwKj94kmNzoHvOXtBfFw1G4QU/yW+KqNp0yo3wYV3xgroxez78W20Vf14Nmtf3O4i6CErQjTu3dvhg0bxldfNX+k58yZg9fr5eyzzz6MPVMoglD+tYlC/sYgGmGoWmjcFwNM9knRZWgXYEVvucbn7hosvns9HpOgLPEnd6w/VUv0B6EI1J9wv4Vtf2HgBaNrhPG6AFzDA//urYTqRcbrC3VNZq5X80gwjSaK34GNE6D8S9otyLQ6WVDv+Z0kS026iNahpxtxDYc+74gZ1KHGzD2oWQmeFgt2M3UEK1PxrfHonUb6EMm+tqTCRL3+qvZBNPTQkblg5vobCpt9qmKGQvpNkHkbpPysdQCRyvntfab09qslVd+byzXYWd9WU+/F79CtMW+FpfHfkYMStjqBCy64gFmzZtHQIC/D6dOnc+qpp5KYaDIfg0LRmZhNDqvHNNB03RFMWKs49HS15x7JMR7Ja0u9QsJdGyHuRIgdqb8NPXhDzOWOXm/FbNjxi/A70f5q2NMoYI/aAb3+Dd3/DD2elLxII9ZA+vXm+tJRIjF+zNThdwc2Ze3Md7bZ+rWG8GaNnd3viLRV2bnvr0jVfbS8Y6N6mCjT89CaEUcAJWx1Aueffz6VlZV89913lJWVsXjxYmVCqOi6mE0Oq8fHoiskrFUcerrac4/kGI9kXVanhEs3QtZvgh/rjPtuxJcqUJ15f0a3eZG/WqK6RfeErLsh5xHIvhcSTjXXh0jR0XvQ9v+623UFDs0fif5E4ryWWOxgCe6TDpjvt5lyHZmnnXl/I/X+OFresWk3Gy9zBIZ+V8JWJ5CZmcnYsWOZPn06M2fOxOFwMHFiB5JvKhSdScJZJgpZIFFHufhTwn+AA5FwpvEyiq5DwpmYMvMwNRZ1EHeC5H8ySqAxbmZsxo4De4L8v3az5JUp/UySpOY8Cgk6vw8Zd4T2W7MnQexY4/0LNZcTTVyvxQ4Jp4N7FVQvNla2yd+rK2HmHriGSGjrJsyMm2BlEs4goKllOPS8s8Hc9SboSJRtpt6mPHdGMT0XzjTXT3sKxB4X/rz4UyVBr5l+tSRuvNwbo3TWt9XUe/F4EZxsYVIctMQSJbnojjCUsNVJTJ48mblz5/Lpp58yceJEXC7X4e6SQhGY2JEQd5KxMgkTwTUg/Hn2FEi9yljd0b0h6XxjZRRdC9cA/QJEE3EnBTeP6yi2eOPh4h3dIOXS9r9n3o5hQTLzDij5BDZMgDWDYOslEtp7/QmwdpQkDE+7MXi+K2ss5PwFcnU4/GfcbqxvWCDjtuCHEyaAa6ixKpMuEkGjfLrBviCBKCpmGS/XmWTcajypbtvnkHmH8XaDlYnuAckGrWVcw/ULLZkmApDoub6kC8QEzAipV4fPNxYMw3PBKnMh9SpJwGuEtJuaowSGwpEuSZuNEN0XEs9p/Zs9SSJ8GiGqByRfaKyMXsy+F22x0PdtdG8e9H5Jcg0eYShhq5M499xz8Xq9rF27VpkQKro+3f+E/helVXIi6aXbH/R9hJrIfiCw6YziyCL7AfR/YiyQ/VBn9kby4BgKL35f4AW2s5+xqIjR/cSZfdsVEiijLXUbYc/voX4nDFsnfkrxEyB2jOwW93oWRufrzyuT9nNpUy+p14CzT+hzjDwbS5TcO5DIa2Yw46PTmURlQ3qQnGsBz+8JaTe0/i1+fPC0BoGIPb79Arsl3e6XnGV66W7gGcaOgcRz9Z8fM0oEqXBYrI3vBZ1YYyDrd5Ivy70KqhZJWHq9qUHSfi6Cil6a5oLVKd8tvdgSIevX+s/v9gdjFh/dHwqsNez2e2Parez7oaFIwtpv+RlsvhB23AIV8/TXEQxnX2PCX3SL92jyRTDgs9DWBxanRHgMlvuwi6NWNJ1EUlISDz/8ML/+9a855RQTKnCF4lCSdD70eobwApcVcv8DiQa0FjHDoN+H+kwnut0ru8iKI5/ESTJWwn5mLBIMwUjCVTO4BkD/T/UtTjLvDu0b1ed1iD89fD1RPeQ+FOvIy1W1EHbfJcLWkPmSxHTwt7KIazJB1IPVBYNm6HM8TzgD+ujIjZP2c8j5W/jzLA7ZpY4bJ3+bzd+jJwT8oabXc5AYJJF0SxxZMPDrwM+s/6cQMzp8Hc7BMHBaaLO8+BOhz1v6NG45jxm3MOj3oQh84XAOgIHT9W+QZd4G3f4Y/jyLE3q9ACXvwcoesG40bDgF1g6H1f0g/x/gDRNh9OBcyAnfXsLE1nMh+35I12GuZo2DAZ+LRYZeYkdBv/dlYyIc2Q9JLqxAuAZLwmM9glvGXbLps6on5D0s4e3Lp8u7adNEWD0EKjqYcqXPa/rfi4NmiFDbRPJFcNw+6PW85FS0xsjzcw6SCKTH7ZMIj0coStjqRK688kruuusuHA4Du08KxeEi624Y8IX4lwQibrwsIszYSydfBIPnQ+LZBBToXEOhz9vQ80njdSu6Lhm3yJiJGx/4eOw4GPClsV3hjpB0NgxZ2GimGuDz5xwEua9B73+HrsfqgkHfiLbJnhH4ePrNMGAaFL+hv3+VsyOTB8fZD4YuEdOmQAsxRyZ0fxgGztSvde7+kCzsYkYFPp5whiSlbqn1M6LJOYhVTBe7GtYoGPgl5PwVHNntj1uiIfVaSdocE8Ts0p4s4y/rnsB+Ktb4xuS3i/SZSqVdA4O+Db7AjRkN/aZAdwPapIN9TZR3drc/Bo6YaY0Tk7shi1v7pumh51PyvncNCXDQIhq9Xv+CPfdA/uOSNLgl9Ttg772w7jio3RK6LWd/eSZh50KbxT9An1eg94tBNMU2MZcdukj8E42ScikMnhfcv9U1HPq+Cz3CbHIkT5bcXonnBqlniAit1Qslv1ewqKB1G2HzeVD6udEraUbPezHtJnkezgD31BYvOfSGr4Lj3XB8DYzcKJpAo1FbuxgGjZAVCsVRTfKF8s/9k+Ry8VXJCzDxvI7708SfKC/ium1Q9rnsSjY5P3fFxZUiMiSdI//cq6Fihowpa5wIPrFjDn1/YsfAwK+gbieUTQVvqSwC4k4ULZRerFHiR5X9JxnPtRtlIROV0xzSfd/fjOdDKnwRkgyYcAUjqjv0fRN6/R+UTAFPnmhBXIPFH6V6sexw25Nk0RgTaOHbhtQr5F/VEqicJ6HJbYnyznANbn9+wumy2KvdoL/fSecZ0xIcSix2MbnOvh/Kvmw0aWuAqG6QcoX444TDFge9nhZNYemnUL8d0MT0MGGiLPiNmIYlnA5DToeaDaKp8FWIZjDuJNHmGjHhbtfXGBGMcv4ifa3bCvghqpdcrxGNa1vSb5B/lfPFPNBfI8Jo8iXgc4sWK1yOxvpdsOksGPoDRGUFP6/VXPgYPPsa58KQxrmwKPhcyLxdhMqKb8G9TMLb29Mkf1a0Qf+ztsSPF+117RbJQectk2cXf6qxCJxx40RTVLe98dta2vhtPVnGx5afQc2a8PVoDbD9GojdYH4O6nkvHoNYNE2v8aviSCIvL49JkyYxZ84ccnJ0qNAVCoVCEVnWjoGaFQYLWWVH12oiYlk4DrwrodVr17c/Fj9BFkkJp0W+ze1682PZRDvmq4Ci/8imj1Yvu+SpV4uJcbSJvDydRc0GKHoJSj8B7wGwNArtmbeLNl9PLqD6PVD0MhS/LolxQTQwqVeKlisuiKVBIDQ/lM+AwhcaNaSNObqcA0VgSL/JfLCJQ8mm86Bipv7zky4QUz4juZdCzQVLlGwyal6p0zkA0v9HNIkdEV6D4V4lmyzlX0u+KlucRB/MuEM2KTtC3Q5Y3R9DSeYtLmk341eQfBlYlXVWR9fUStg6SlHClkKhUBxmVvYGz27j5Y4rBEcAM5yOsPd/IT+MSZLFIaZLqVdGtu28h8UpPyRW6P4IHHgH6rcFOccmwTdy/hY+zHhnonlh5+2hffGafJmc/YOfc+Bd2PFL0DzBz8m4A3o/F94nylsJWy+DyhB+N/Z08QWLOyF0XYeTuu2NwoHBpWl0rpgkxwwLf66euRAIe4r4sukNoR8Onxu2XycaoGAkTIL+U0TrZ4Y998H+p+PMoQsAACAASURBVMyVBdFIDfj88FghdCE6uqZWPlsKhUKhUHQGZvLgdKRcMIrf0re41BpEC1X9Y2Tbz/kL9HlHfOICETsOcl+GwmdDCFoAPsh/DPb8LrL9M4KmwfYbwgc9qdsCG06D+iDCdsknUk8oQQug6EXYfXfoc/we2HJhaEELwFsMm87WZ1J2uCj5GMOCFkg0z40ToHZT6PP0zoVAeEth82QxKewofg9sviC0oAXyTDeeKYKZGdzLzZVrwpMHG84Q7ZvCNErYUigUCoWiM4g/2XiZmBFiRhQpNE0EFN3ne2D/PyLXfhPp14uz+6C54s+R9VvRZA37EYb9AAfeFlM8PRQ8AxVzI99HPZR+LIEG9NBQIBqwtvjrYNdt6BYqCl+QBNjBKH49cFqBQPgqYdchCkhjhrbBMAyVLYXtNwY/bnQuBKyjAbZdI8+wI+z/P6iar+/cmhWQ92dz7XS0nwD+Kth+bcfrOYZRwpZCoVAoFJ2BmUS2hhOxhqFydmNgAwOUTQVPQWT70UTiGdDjrxJtLufPYp7kXi1hqY1QqCPBc2dQ+Lyx8ytmit9MS0o+Bm+JwXZfDHHsJWN1VS2EmgC+Sl0BPSlCQuFeFlwzW/Gt8bkQCO8BCTpjFs0nPolGOPCmBOcwil1H0BY91G6ITD6uYxQlbCkUCoVC0RnEjhafC704ukHadZHtg5ncOVqDfk1JJNCTh6wt5V9KgtZDSe0W40IhWvvw/wfeMd52yUfgr2//u3sl1K41Xp+ZPhwKIuEbVBwkd1w4M8tItKGHilng2WOsjLdUIkIaJZL+lx255mMcJWwpFAqFQtFZ9PswSD6hNthTJCR9JE0IIXz47GD4TJYzgxltg+YN7g/VWdTvCH9OwHLbW//t2We8Dq0usDbMk2euT2bLdTbJl8imQ0eoC+L35zfp92SkDV1lTWrX6raHP6ctKVdETrvVkWs+xlF5thQKhUKh6CwcaTBkEez+LZR8KKHMW2GR6Ga9ngXXwMi3b0sEwIuDSlsWPuzE+4twamEWnvbEyPclKGaDIkc+mHKtH5bUwDYPNGgQY4XRThjhbL07vS1qPD/EXkeFLRub1kB2wzpOcb9Gsk+HIGWxsTn6dJbF/JwqWyZ2rZ4enpWc7H6dBH9xiHJ2Dnjh+xoo8Eow7yTvCE6KOp5cj8FACJYuuvyzOiDzLsh7qAOVBBkXtg7kBdPbRqeWNVHOGgU9/wE7bjLZZgfbVwBK2FIoFAqFonOxJ0Hft6DnPyUQRO1G8duI7gFpN4CzX6c1XZRwGQtqUlgScxNuWyoANs3DqNqpnF79IgPqA5gLWl2SYPdQEZ1ropAVoiKXc8unwdRKWFgD9W3WlEtrIdkGl0SPJD3qJN5PfpG8qFGtzlnB5Xyd8CdG137GtWW3Eesvaz4Y3ffgfzfWw0cpM9hvbd33n2KuZHriIxxf8wFXl93VThiujBrCu5XprKlvu+TtxYLMZfTyLOea0tvp3fCTvgsOlIS6g9T74Yda+KkWqv3gsEDvKJgQA92MpGrKvl9yrJV9Zq4jwRLyJk2G/MfN1am3DV1lzYx3ILqXuXLpN0ruut33YCjfVrv2e5sve4yj8mwdpag8WwqFQnFs870b3qsIvbwaX/0G15Xdig1f84/pN0OfN4IXijTVy2C9wdxPSZMlj1UE8GnwUimsDeAS1Rar5sUfRivUrWEDfyg6lTh/KWCBkdvA2YeVtfBqGS3vdEB6en7k90Vn4NTElLPCmsU/stdRbEkNWS7aX83dxefSz7ModAOWKBi9N6K53OZWwxdVUBdkRTksGn6RDLF6nVc0H+x9APY/Tfg71oYh3weNBOpZewLLLUPZGH0m9dY4nP5Khtd9zXE1n2CnQX8bua9Axi3G+tWEvwFW9ZRolXqxJcDofR0zM65eDgXPQumUABp2HQycAUnnmm//CEbl2VIoFAqFQtGKZTXwbhhBC2Bx3C94L/nl5h+s8dDt3k7tWzvixkHsWGNlzER6DMK0Kn2CFhBW0ALY7xjCGynvyh+J54KzD8VeeF2HoAWwJ2os7ya/cvDvV9I+DitoAdRb43gx7QvclqTQJ6ZcGVFB66sq+KgyuKAFsK4e/nkAavQqViw26PkU9DcYFCJmZEBBS9Pg6yq4L/U73kl5g+Wx17DGdRHLYq/j9dT3uT97L3PjdIbEtyVCagdCoVsdkHGrsTJp17cStCp98EMNLHDD0hoo0zOw4o6Hfv8Voa33K+HPb0l0X0g8x1gZxUGUsKVQKBQKxVGER4MPKvR7WCyK+yXbo04CaxwMmAquIMmHO5M+r+v3qUm/GZLOj0izHg0WRjBuQhPrXeeR7zoNciUs+3w3RvQm/BRzBaW2HHZFHc+26FN1l3PbUlkSe1PwE1xDoPdzBnoSmi318GWVvnPzvfB+hcEGUi6GjF/pO9caB33eDHjo3QrRvNUQFfB4lS2Tj5Kf5dPEJ8I1Im3YOph4vNt9+jcYnIMg568A7G2A18rg/kJ4o1zu55vl8GChaGd3hsmRDYAjFTJvgW5/0Ne+xQl93wGLRd/5inYoYUuhUCgUiqOI5bVQY9BBYH7qUzB0KSQaCFUfSWJGwKA54SPRZdwGuZELQf1jLbg7yZliQfcvILoXDZoE3TCC32Lnu/jfML/bR8bbjQuSqy3hLBi8UHwII8Q8g4LqilqoMGgVSO8XITOM1smeAYNnS7qFNixwS1ARPcxKuI/lriDh0q0x0O8jSLlUX2WhsMXAoFkQPyH0ebFjYfA8sCezpg6ePCDzu+0t9AOr6kR7uFxvOq4eT0H2A0AIIcqeAoNmQPx4nZUqAqGELYVCoVAojiJ+MLiwB1hhP4UG19DId8YIcWNh1HbxF4s9vjlinj0FMu6A4etEU2SxRazJXXo0AWbr9otQU+Q1J9DtSr2HXVbjwRSKHAOoiT8TnP1FiM34FQxfDYNniVYjQlT4ZIFvBB/6BZ+DWKzQ+1kYsUEiFdobr8Fil7xcua/BqJ0Q197vT9NgtsEsBrMT7hVzWiyAFZwDJKLf6L2QernBzofAngxD5ssmQ/LPJDANSGLnpMmSCmLoDxCVxR4PvFIqETJD4QXeLIOtesxiLRbo8RiM3AJZvxOBFQCbjJveL8Go3ZBwuulLVAgqGqFCoVAoFEcR5SYCjnmRCHLJkZNjzGF1iZlg+s3yt+bt1DDl4RavHcGrdayNBmzmyw78Fjr5WTaFnzdKvhF7ypa4BosJZO/ndI+LjfVQZFCTtitqDLtGVtLb4QcsnW8+lzhR/kHQ6/qqWr8Zqg+YXgX3ROss4OwHvf5P/mk+wKpMBiOM0mwpFAqFQnEUYXaNfbjlrIB0cj6ouE686KbIe3EmV1rxVvlnFCuSH6yz8ZkUBI1aEQZE57jYZVKw292AaNQOtdAR4LrKfLDGoAZxs0eEYePt25Sg1QkoYUuhUCgUiqOI7kZyGjWSaDUvFBzJjHV2Yt2NVmFpduht4pkc54IxLuPlRjglx1Vnk2hSUE08hOPMY1IgNFuuM1hfZ1yDqAFrDQpois7jGHy1KhQKhUJx9HKqiUBpp8SA9Rjc0O4VZU4QCofTAie0EJQmxBorn2CF45wwPsa44HS6wbbM0t0BPUwoHk9oMT49mmhtFtVIYIdiM9qYEJjRDHakXGdQa1Lw0x1mX9HpKJ8thUKhUCiOIgZGQ44d8nQuXO3AqYdogd4V+VkC/LtE/NYixSUJEN1iwX68S0LM79Rp1vazBLBZINYCF8TBVJ3h1UdEw6DA0c07hQmxElZdLz0d0CcKyn0wq1qiNLaMnGkBBkfDWbEwJAJax9Eu+KTSmGbIYYHhnajxNEqUyU2Q6GNw86Sr0oVkd4VCoVAoFJHg1hR9u/MW4KbkLhAY4zDSywHddWw9J1ogV4cW7OJ4OKON8OqwwF0p4bVoFuCqBDixhfbn3Hg4Ly5okYMMi4Zbkg+ty81JMdBPp3DnAK5OlAAZjxfDHHf7FAUasKEeni2Fb3QKmKFIsYlZpRHGuZr97boCA00Kz4P0BshQdDpdaDgpFAqFQqGIBJl2+GOaaBKCkWCF25JF63Ks4tPgP2WwW4daq06DnyfCDUkioLXEBoxxwh9T4fz4wOXjbPD7NLgmsb1wZ0fMDu9Lg4kBBKtLEuB3qTDa2X7h1scBNyfBnSkQdYhXdfZGIXJAGIHAaYE7UiDDBs+WhI+YqQGfVRnPTxaIi+KlfT3EW+F8HYLtoSTLYVzg6uWA3odQw6kIjTIjVCgUisOIxw/FPgkTnWA7ujUMbj+UNoYiS7YdmwEZDhUHvFDnl0V4pV8Wrfle8GuQZBPNyXFOMVUzQqVPFspWINUGLoPP0K9J3ql6TcpmdOIqpN4PB3wiUCXY5LrbsrRWNCm66gM+rhQh9uQYKGiQe2FDhNsEHXPXjiycezvkudgt8ls3R/j5MDAasu1iulfqlfOzHNK2EfyahEOv8zc+A5MB6Fo+y2sTZXwtcEskvCaFVbJVTFRPiZGAGtMqocyATd+XVSKEGvUnrPVDiU/MB5OsIoi+VBo62XeCFX6dIgFN2lLsFR8oh0Xut9F5Y4RAz+e8eNhS0nxfw6FHE9qSIq/cs2iLzMlj0X+zM1HClkKhUBwGCrww3y2L4LoWX9B+UTAhRqKQdeYH/VCytV6udWVdc9hnKzDSKc78ytwlMjRosKxWFry7W/gGxVkl0MKF8YEXknpYVyfPcF1984LPgYzT02MhN8wueqUPvquB79ytF9tZdjgtRvpnVHALRn4DzHPDD7UiCDQxIEr6OtrZvJic7zZW9zYP5DVAjkMEnSyd5UJd/4QYqS8UG+pgfo1EmGsqbkciFp4eC311aDGqm/pQI4JIExk2OC1WBEg9IeMrfbCw8Vpaaqi6NT7LG5LE/y3KIpEHm+61TzOe0LjUB2vr5V2hh50eeaY/1TbnpbIgJpZXJohAuKhWNn6aSLBKUJkJsa0jLNb7RRhf6G7t/5hgFeHxtNjIbo6Fez4/S4BPK8MLXJfGi69aOGr9sLhGnmXLMPFNAvKpMfo2EBThsWia1oUCXCoiRV5eHpMmTWLOnDnk5OQc7u4oFIoWLK2Bd8pD55sZGAW3p0RuAXq4+LQCZoVZ0J4eA1clqt3UjlDpg+dLWwtZbYm2wP8kG/Nh8WkyVpfWhj7v4vjg5nM7PfBCKVSF0Gik2+Du1I5rur5zw/sVoQMiDIuGW5NlQftosfE2zoyFKxL1n7+j8fqrQ3Qqo/H609tcv1+D9yrCCymT4+CihODH9zTA8yVQEaIPqTbR7HQLIfhtb7wWt4lr2eGBJw8ELxeMkxsFuHB8VSWasFCc6BJT0Hxvs+aop6P9xlaZT8wd80OYl7os8o4eGIHNIr3P5+xYWFwbeJ7n2GUO6kkXUOSV6ysO8RGKs4qJaLiNlGOBjq6pj/DPeOfx2muvMXDgQG688cag51RXV/PCCy9w6aWXctxxxzFs2DAmTpzIH/7wB5YsWdLq3M8++4yBAwce/DdixAjOO+88/vnPf1JVVdXuvI0bN3batSkUisPHqlp4K4ygBWKK81Kp+cShXYEvK8MLWiA79p9Wdn5/jlbq/fBcGEELRMvzcils0Wk2B/CuDkEL4IsqmF3d/vf9DbKoCyVogSz6nikRodEsy2tFMAlnpbauHl4pgxKT4QfLDPQxv/H6QwlaIGZjga7/Qx2CFsBX1TAjiKBR7JVoi6EW8iDC5zMlwa8vvwGeKwktaEHztVS1qcdsKPJw7QF8Wx1e0AIZyx9XSkTEIU4RJNoKWjV+6X8oQQskJPsLpbDbE77dUBh5PjOqRcC7Pw0uiBfBf3Kc+Ar+b4Y+Qauy8fmEErRAxuyzJTKHFR1DCVtBmDZtGt27d2fZsmUUFRW1O757924uvvhiXnjhBXr16sU999zDI488wiWXXMK2bdu46aabmDt3brty99xzD0899RQPPvgg/fv359VXX+WXv/wlSsGoUBz9+DX4SIcZSBObPWIOcyRS2rgw0MscNxRGOMfOscJ3NbIzrgcvstjUw06P7KLr5fOq9gvjqVWh/WRaUuKDmQbGTEu8GnxcoX9urauHXSYXkUY0sFMr9edJOtAYDr2JvAZYYMDsbnpVYGH1i6rwwl4T5X74OojQ8pnBa/mmzbPsrBDmbj98YWCzZlEN7AohIM1xtzarC0W9JqHlO4KZ55MbJWbBVySKRrOfAe3azOrWZoqhqNH0px1QBEcJWwHYtm0bmzZt4uGHH8blcvH111+3Ou71ernrrrsoLS3l/fff55lnnuH666/n8ssv5+677+bzzz/nhRdeIC6uvYfihAkTuPjii7n66qt59tlnOeecc1i9ejUrV648VJenUCgOE2vrmwNE6MXIYqsr8Z3bWG4bDfE1UhhD08SnxAh7G8SkKxxGn0eDJj4gTZT6xMfICEtqJNGtUVbUSsAJI2z2iD+PUbJ0mjqWeGXOG2FxjdxHMH7/vbTXglX6YKXBDZsfasXEriUHvCKgGmFxbfO1gJjr6Y0K2JJwkQ4X1TT7Z+kl2L31afC9wfu+xWNe+xOp56MXj2Y8wuPaOuPfLUVrlLAVgGnTppGWlsapp57KpEmT+PLLL1sdnzlzJlu2bOHOO+9k1KhRAes488wzGTduXNi2TjjhBAD27dvX8Y4rFIouzXITWqptniPzQ2fmWs2UOdbZ0wCFJsbHsjD32q/BjyaeR8t6f6o1JnCD7KSvMyiggfm5ZTSkthXxIdLDj3X6NW1NuDVY33j94Z5RINreh5V1xpM112uwus0z+LHWxLX4W0d6dFolsqARYiyS9yoUpt41dbJR0ZatnvBh6QNh5lkBrIjQ89HL+jr9muYm/Jh7FyiaUcJWAKZPn84555yDzWZj8uTJrF+/np07dx48Pm/ePAAuvPDCDre1d+9eAJKSdHh/KhSKI5oKk0JTR/xYDhdGtQwgfj3KotoYZu4zhB9TdZpxbUHbes2O93D+XQHbNVFGQ8LfG2GUU38EurY+S3qp8ItGqM7EXGjr92P6neMP/bfu/rRpf1KcMXPCM2LD5w4z835s0AKbRJp913bWPIx4e4e4nwpBCVttWLFiBXl5eZx//vkAnHzyySQmJjJt2rSD5+zYsYOEhAQyMzNbla2pqaG0tPTgP7e7vS66srKS0tJS8vPzmTJlCu+//z6pqamMHTu2cy9MoVAcduwmfRbMljucmIkYbMNcvp9jmc4aU2aDAras91COd7NtDXbCpFh956bbJCGxXsymbrBbGueCibJtAwlG6hmYrcfRplymHW5J1je+jndJEIhwRHKcma7LXLFD/k04lr5BXQmVZ6sN06dPJzMzkzFjxgDgcDg466yzmD59OnfffTcgUQhjYtrbETzxxBN89NFHB/++9NJLeeKJJ1qdc8MNN7T6u0+fPjz55JO4XAZ16wqF4oijh0N/AtUmnBZZ5B1p9HCIT4zRMgpjZNtl19TohnW4ex3VmEy1yOCOds8W9Zp9nj1MrExyHGIWaIRYq2iprkyUMN4zq4ObdPWLknDx8Qbmotnr7+mQIBzZdthn0MasbZuRegam62ks1zJRb4Yd7kmVgCpbAzyzRCtMjIVz4vRtvuQ4JCCHETLtgTVsOQ4Rco0qFTt6fwyXM7l6N11OvZs7hBK2WuD1epkxYwYnn3wye/bsOfj7qFGj+OSTT1izZg0jRowgNjaW8vLyduVvvPFGzj33XADuvPPOgG08+uij9OzZE5vNRkZGBrm5uZ1zMQqFostxaoxEGzPyIT/BBdFHoA3ChFjjwtZpOjUMimYSbWLatsKAD4cDSSIcjtNijUdaa/kMRzll4RwupHVLejugp4m8PhNijCcoHu9q1rxcmCDJgRfVwE914m/ksECuQ8aymVxDo52SANeI6Vauo3lhe1osfFBhrM22c2hotORn0ht9DqC7vX10u9FOiLcaM/Hs44AkG8yskoiZLQWidJskzr00Xjagqpvud5SMGyNawQkxsMqgD9NpQcZ/hh0GRcFGA+8ulw6/smBE6vnopWeUzDEjkTgTrfJMFOZRwlYLFi1aRGlpKdOmTWtlNtjEtGnTGDFiBH369GHjxo0UFha2MiXs27cvffv2BcBmC7z9NXLkSAYPHtw5F6BQKLo06XZJKKvXudmKLACPREY5jS0iEqxiNqQwzqRYCYSgV4g/IUa0OuEYHyOJYvWG+85uXKg2YbPI+P3CQOhovSZ97dp2wOBo2KhTc2xHhKiWxNvg3HgY6pSw6z5NhFmzu/pN168n/1MTk1oEMT7RJWX15JkCyLRJwuaWWC3i92REaJ4Y4BnYLXK/phu4llFO+GtR4IATxT4JJZ9shV+nQvcOaE4GR8vYC5cXqwmXJfRmw6Q42Fiqv/1TYsL7lQXD7PM54BUBdqtHIgzGWGC0S8aMK0xfJsXC6+31BUGZEGveJFYhHIH7pZ3HtGnTyMrK4t///ne7fxMnTmTGjBn4fD5OP/10gHZRChUKhSIcNyZBNx3bXBbg+iRZRB6J2CxwR4osAsIR3XhuW/8OhT76RcNlCfrOzXXAVTrPjbXCbSnt/YACkWCVZKttzb7OjYOROnfFT4+FcToj/QXiF0n6TG6twE3JsvnRkuW18EQx/K1YEo//twKeL4X7CyVfll6hpyXnxcFwnVqIibEwplHQ21ovZne3JusLKBHbeP8D5QA7s7FePZwcA6cEEXjPN3At413wrTt8ZL+yxgTCZhNMg4y521JE8xYOB3JuTIhzhzvluelhYBRconM+BcPI8znRBZs88KciMXvd7pFUDps9kgD7vkLRJIZiXIwIeHoYaeBeKIKjNFuN1NbWMmfOHC6++OKDpoAtcTqdzJ07l6VLl3Leeefx8ssv8+KLLzJu3DhGjhx5GHqsUCiORGKt8Mc0eLsc1gTRRiRbxY/kuCNc05PjkGt9qxx2BzFbybHLwlf5BHSMs+NkbE2tDGzqZUU0h9cmGtuFHxQN96TBO+XBE732jRJBJy3AisJqgV8ly879d+7AEQ6dFhHKztMRDCEUCTa4t3Fura8PPLdSbXB1omiYW/JBRXAzxCq/LGxX1sJvUyHFwMrJahEhKNT1uywiaEVZZBHdUhucYJWF+A5P8BD/uQ64OVn8kAJhscD/JENqJcyraZ37qoloC5wVGzogha3xWqY0Xkug4eCyyOI836vf5LDSD19Vww0dCMqcaYf70uDNchFAApFllzb66jAJvSRB7v30KgnH3xYbcFKMjKWOBo/Q+3wmxohQtSOECWB9YxLiaj9cHiKYy9WJYh44szpw1EsHYuZ5eYKxJN6KwChhq5E5c+ZQU1PDGWecEfD4iSeeiNPpZNq0aZx88sk8//zz/PKXv+Saa67hrLPOYuzYsURHR1NYWMi3335LVVUV3bp1M92fKVOmkJaW1u73W265BYdDrUoUiiOZWKtocoq9kpB2b4MswhIbTelGOo+eD1y2Ax5Mh50eSbha7JVFcJpNdtHN+h4o2nNyjPj4ragVv6Nqvyzgcx2ycNIbsrwtfaPg0QzYVC8JUUt9onnNsku94QRlmwWuSoTJ8eITtbleFoUuiwg9kfRLTLCJWVph49za1yBCQaJVdvSHR7efW19V6fP3KvTBs6XwYJoxgbXV9btlwdzy+ns64OWywPn0Kv2wpFY0xFclSF61ksb7n2kXE7ZeOoQHqwV+lihmkktqxNyyrrEPQ51wkkvyYOm5lqsT4YK4xmfZ4lpGOsV3qQG4r0D//QHJU3V5QmiNUzjS7SJs720QYbCg8V2TYhPBaJDBd83EOBnfy2vFJ8zdOJ/6R8l9T4hg4CI9z+fzqtCCVku+dUP/6NBa5fPiRcj/oVY2/mo1EeoGRsu7JE7ZvkUMJWw1Mn36dFwuFyeeeGLA406nk5NOOolvv/2WRx99lNzcXD7//HPeeecdZs+ezYIFC2hoaCAjI4PRo0dz3333MX78eNP9ee+99wL+fuONNyphS6E4Ski3ywf2WCA3ylyQAYUx7BYRKjpijheMQdHGF6wtibNKhLlzDoFZUqYdrtAxt2r98E21/nr3e2VxeqoJ37I4K5wTD+e0+K3MJ6aL4cztajTxfbs3rWP+TbFWODNO/nWEOFv7a2liWRCtVygaNBFo9ARuCUcPB1wTodSljkb/rkj0Sw/Bnk+dHxbXGKtrTnV4E95oqwRVUcGJOheLpqkUkkcjeXl5TJo0iTlz5pCTk3O4u6NQKBQKRZdjnlt8XYzQww5/yohM+x+Uw3wDi+jh0XBXamTa7iy+qjIWFKSJS+NFs6NozwI3vG9wnAL8JSO4ealCPx1dUysloUKhUCgUimOSNQZDhgPs9QY2+TNKvR+W1hors66+Y8EkDgWHOsHvscA+A6HaI1FOEVmUsKVQKBQKheKYpMZEhEEQ88OOsq4+cHCCUGjAjyYExEPJoU7weyxgVraPwJ6AIgIoYUuhUCgUCsUxiVk3Qj3h2MNhJNlxS6q7+Ap6cDRkGAwekWWXwAyKwCSaXK2bLaeILOoxKBQKhUKhOCZJNGnzZlYj1hKzipyubm5nsUgkPyMESqSsaMZMwJtUG/RTQYm6BErYUigUCoVCcUxidud/TwR8YfSEbA9Y7ggwtzs9RsLA6+EkF0xQwlZIsuySQNkIp8YcPSlEjnRUjBKFQnHYKXJ7+Hp7MSW1DbjsVk7KSWJ0ZsLh7tZRg9fvZ3+1B4/PT3pMFAnRXefV7/NrzNp5gHm7StleXkNFvZf0mCiGpcczPCOO8/qk4bAd+n3BtcVVfL+3nJoGH8lOO+f1TadbXGTtnCrrvUzbVkxeRS1by2pw2W30TXZR0+AjNsqOX9PokeDign5pOO0dS+qztdTNvN2lVHl8JETbOSs3ld6JnZM122xbtQ0+pm8rJq+qDpvFwqDUWM7MTcVqaV4xrimqYlFe83M5v286WR14LjYLaJpGQWEZZWXV+DU/Llc0PXPScTjsVFS62V9Q2IDdNgAAIABJREFUSkODj9o6Dw67DbvdxoyUKEYMSycxOrjks664mu/3luFu7Ou5fdLIjm+Oxd3DITnQdhoQ3JJt4HS7eXlTKdUeH4nRds7uk0rPBHPPUs+7t7KugSeW7mJTSTVWLAzPiOOPJ+YS4wg+Ji0WuDlJclzNdYMnSKLeSbFwUWMEwqp6L19uK6awup4om5URGXGc1jMFALfHx7RtReyvrsdutTI0LZYzeqVgsZiXJr7fW8aqwio8Pj9pMQ7iomzkVdbji+C8ixQNPj/JxQfYnF+LV4O4eBc9uqdhtVrRNI39BaWUlbvRND8xLicn5aZzRmzX6LtCCVsKheIwsvFANY8t3snULYV4fK2/xsd3S+D3J/TmsoGZh6l3hx+Pz88nmwp5Z20+uytqsVigf3IsN4/szoX90rGF2bbcW1nHq6vyeHPNPgrdHkB2Os/tk8Zto3twTp/UDi1W9OLza0zbVsyrK/NYW1yFx6eRGeuge7yTn/ZXUlbfPrzap5uLAEiPcXDrqB7ce2JvXCEWd5Fi+rZi/rl0F4v3lbf63W7dxEX903lwfB9GZHQsPvW+qjoeW7yD99fvx90Q3h4t1eXgxuHZPDA+N+TiPhDzd5fy5JKdzN1dSssZ1jQOHjgplxO660tKtL64mh/yy6n1+klxOTivTxpJzub+LNgjbc3ZFbit+0/K5cQAbZXVNfD44h28s3Y/pXWtJY/eiU5+NboHfZNd/GvZbpbsax3/2mHdxEX9M3jw5FyGpxt7LpqmsWB9HlNX7aGisnX8dZvNSnS0g5qa+oBlfwReXGDl6sHdePDk3FbCztfbi/nH0l0syms7hixc2C+dB0/uw8jGMXRWHLxSpq+/+ftL+GnjLp7eV9rqd6sFzuubxgMn9WFctr7EfRsPVPP3xTv4fEtRu3fvuG6J/O6EXozrlsA1X6zlh/yKVs/zy23FPL5kJ6f1SOa9i4aTHhtY2LVa4NIEODdOckRtaAwI4rTA0GhJNOyyQn5VHX9fvIMPNhRQ7WntkNYvOYbu8dGsLKikMsCxO47rwR1jerQSyMPxxuo8nv1xDxsOhM5k3TTv7j8pt9U4P5TUNvh4auku3liTx/5qT6tjTqeDlOR4qqpqqapuHdZy1XI71cO68eD4PqTFKFvCw43Ks3WUovJsKbo6i/LKuOSTVVQEWGi35KHxffjzqX0PUa+6DjO2F3PL1xsoqvEEPN4zwcm7Fw0PuHgF+HxLETdOW0utN/hi/qL+6fz3wuG6hZiFe0qZvq2Y8jovsVE2TuuRzEX9M0IKfWuKqrjis9XsrDAY47oNJ2Qn8tWVx3WqVu6fP+ziwflbQ54T67DxyWUjmdTbXLKjzSVuzv3wJ/ZVB17Eh2JIWizfXD2GzCCL27a8tWYft8/ciC/EZz7KZuGtC4Zz+aDgmxrTtxXzr2W7+G5va+EhxmHlqsFZ3HdSLgv3lOlq683Jw7hicNbB3/Kr6jjnwxVsLg298A1HXJSNTy8bxRm9UnSd7/Nr3Dh9LR9vLOxQuwBZsVF8fdUYhqXH8a9lu7h/3lZCLaxiHFamXDqKs3JlDH1SAd+GufzNW/JYsmwjoVZs0TYr71w4jEvDbFB9v1fevZWe0O9euwW8YVaI8VE2fvrFSaa1pJtL3Jz30U/kVRmfD01cNjCDdy8ajt0aWgOuaRq3zdzAm2vyDdU/JC2WmVeN6ZAGFWTzbPauEvZX1eOwWRmeHsforOAWHJX1Xi74eAVL800k2GqkX7KLmVePMa35VAgdXVMrYeso5UgTtmoafHywfj9TtxRxoNaDy27jhOxEbhmVQ9/kQ5S6XXHI2FleywlvLaU8jKDVxMvnDuHmkd07uVddh2lbi7hy6pqQC1cAl93KjKvGMD6ntcA1a8cBLvl0FV5/+Nf7Bf3S+eSykSF3hr/YUsSfv9sWcCc4Jz6a343rzV1je7Y7tr64mjPeW677OYfj7NxUpl95XETqAqiob2BZfiXuBh8rCyp5fMlOXeXiomwsvuEEBqUaczSpqG/g+DeXsqvCfOzuMVkJfH/9uLBazdk7S7hwysqwYwhECJp7zfEBtSKPLd7BI99tD1k+IcqGu8GHT8dqIspmYfbPx3Ji9yS8fj8nvb2M1UUmMuAGID7KxpIbT2BASvjncu/czTyzfE9E2gWZBw+f0pdbZ2zQdX6sw8aiG8YxJE0iScyuhq+rwR1gb6Qw/wAz5q4MKWg1EW2zMu/asYztFljDZfTdq4dUl4Ndd5xGtN2YuW9lvZfj31za4Y0YgDvH9OBfZw4Kec5fvt/O3xbtMFX/cVnxLLr+hLDzLhBldQ08vWw3b7WwMGhibLcE7hrTk2uGdmtX7oKPVzBrZ4mp/rZkcGosy2460fDzUTSjkhorjnhe+GkPvV5YyO3fbGTWzhJWFIhN/tPLdjPklUVcOXU1lRH8MCgOP8/9uNvQx/7vi3fgP8L2hYprPKwtrmJTiZvaBv2xmktrG7hh2jpdi+Rar5+rP1+Nx9e8QvNrGr+etUmXoAWitfhiS1HQ4/9ZsZcrp64OanKTV1XP7+Zs5u5ZG9sdu3H62ogu6mbtLGFpG/M+M6wvruZXM9bT64WFTP54BVdOXa1b0AKo9vj417JdAY9tKXXz+ZYiPtlUyJK8clruZ76zdn+HBC2Anwoq+Xp7cdjz/r54h64xBODxaTwR4PrfXrMvrKAFUOnRJ2i1beuLLcURE7QAqjw+nlm2O+x5xTUeXlqRF7F2QebBnxZs032+u8HH0z809/XMOHgyE25KgjFOGBINo51wdSIUb9ihS9ACqPf5eXLprqDHnzX47tVDSW0Db6/dZ7jcO2vzIyJoAbyyMo+CENriqnovzywPPzaCsaKgiunbws+7tuRV1nHaf5fz5JKd7QQtgB/3V3LT9HXcMXNDq3fF0n3lERG0ADaWuJmyqSAidSnMoYQtxWHl74t2cM/szUFNyTTEHOrMD36kSglcRwVuj4//rttvqMyeyjq+MvGhO9T4NY1pW4u48OMV5Dy3gDFvLGXEa4vp8fxCfvvtJjYeqA5bx9tr9+E2IJwVuD18urnZFOqbHQcML2BeXhl44blwTym/nb0ppElUE/9ZmcdLK/Ye/HtRXhlrisJfr1H+E6Svepm2tYjx7/zAm2vyqdHhLxWMjzYWUN7Cv+jzLUWc9cGPDHt1MVdOXc01X6xhwnvLGfrqYp5ZtpvaBh8vr9wbokb9BHteTawtrmrnLxSOGdsPsKeyedz4NY2/mtQChGPmjgPsqqiN2P1oyQcbCsJuzr25Zh/1vgjEbm9DMJPfYEzZVEBpbfMYcljEj+nWFPhNKtyWAknVlSzfb8yMbPrWYvIq2wv1bo+Pdw2+e/XyVAgBrwmfX6O0tgF3o+9VuHFshAa/Rq8XFtLz+QXcO3cz28pa++C9u35/O38woxgdr3VeHxdOWanLRPa11ft49PvmjY2OvufaEsl7rTCOErYUh435u0tbvVxCsaqwit/N2dzJPVIcCpbml4f10wpEpHb5Oos6r48rp67mZ5+t5pudJa0ElEqPlxdX7GXMm0t5Y3Xoj95rq43vEL++qrnM++uN72DO211KflX7xdnTy3ajU0EGwL+W7TqogXzDxHXo4ZsdB0yXXZJXzjVfhPZj00tNg5+Fe8vQNI3ffruJK6euZsGe9pEOtpXVcO+8LZz632VsKa0JUJNxvt1Zgi/Eg/lmh/G54tM0ZreYY19tK2ZPgAV7JPBrMGNbMfMD3K+O4m7w8X1e6Hpnmbg/nUGt18+CPaUhzzHTV5+mMWdX+3Jm37162FNZR1ld4LCKi/PKuWHaWhKfnkPWs/NJ/tdcBv3n+w776bVFQzafnlm+h6GvLOL+eVsOaos68t5oYs6uUrx+/e+OjzYUsF7HBlsT/1q2++AGzqwI9LclP+RXtNocUhxalLClOGw895Mxe/kPNxRwwODOoaLrYdYktLMWCZFA0zSun7aOL7eG1r55/Rq3z9zIhxsC7y77/BrbTCzIN5U0L1r2mwi8oEE7E5ddFbXMNPjB31VRx4ztUmZrhASLtnTEpPjh77ZFVKNRWe/lr4t28OKK8Dvea4ojp+XTgKoQwQ0iMceanmNnUdyJ7/L75m7hrA9+5M5vNrCysLLd8XCBIQ4lVWG0LWb72jZyH3Rs7uih7Zis9/q57ss1nP7ecj7cUNAq6uGOCJkPBkNDNouaNmlDzRcjdYZ7Xi0xqp2q9fp5e60E7+iMMXo4xn1tg48it+egNvNYRYV+VxwW9lXV8fU2Yx/zep+8iH5/Qu/O6dQxxpqiKl5fvY9NJW58fo3u8dFcPyybSb07lrskHPFR5l478VFdN2fINztKQvo9tUQDfj9nM5cNzCSqTf4ov6bpMtlrS0vfHLvJLJZ2W+tyS/aVG9JqNbEor5zJ/dJNXYce4kyOgw0HqgNqnjqCpkkEw0ONhdD3wexcaTk3O3tzI8XVeaG0N5fWsLm0hgV7ynh11T5O6p7IG5OHHQy21JXeJbFhIoGafV/GBajXbF3622yu369p3DBtLVN1vhc7ixd+2sslAzIidu2B7msgCqrr+amgvaAfjunbivnN8b2Ij7JTUhtZTVRnP/8mvH4//8/eeQdGVWV//POmz6T3TiokQEihd1BQkCZFQUAUFRXX8lt13VVX3XWt667r7roWVMSugIqKoCBYkKK0hF4CIZBeSO/Tfn8MCUmmvTeZAOp8/oLMu+/defPufffcc873fH68nGVZ+Z2818Mi/bg9M5prU8J/c2Idv61v6+GS4UhFg+jk7Y4cdOPu8G+V0zVNTPhgF4NX/MQre/P57nQlW/Kr+PBwCVNW7SX1je38mO/+8J42hkX6ubTYcVVq+0LwqsRY/vJGPR8ftZacVsplhHlJr4kS5XNekjg1xFtyey+lnLgu0sBSRD06tTNY2vXy1Tg50jUmuvgcfObmRZ9GISOvpolmN4QkSmV8bKBDmWtX7pFMgMvjzsumu2rUikEAJieGMDCse/XKxLKjsIZx7+0i51zY2uWxl8ZcopbLGNsrwOExE0RK2XdEJsBlcdbthkX69djvGuWt7mRAf3687KIbWm28sjefy124j10Z1ytAdIF1V0VIqpst7dzR344MCvcl4ALUCiupb2HUOzuZ//l+qzDhn4tquHndIQau2EFudc9EPlyqeIwtDxeFVglxz53a9UBS82+JU9VNjH1vp1W9nI7kVDYyZeVevumhHCkftcKmzK0jorzVzOgd0iP96S7VzXrJ4XaA3VDChRLvDcCi1Mj2fy/JkC5Le12/cHy61K9ytYin/7miuzcOiHRypGssHRjjUrtKN+8SX5MS1mNjxBm3Zzr+jTPDfRlqR/rbHlfGB5Hgf77Mxng3L/Y6ckV8EO8fLGZvqfuUCJ1R1tjKtWv2YTabuSU9CqWLHmBHBEv01s1ODiXEScHZIZF+DHJQi8kWkxOCbda98lErWNBP+vwihvuHxXb6v7sFHrrDFznlTOsdgk7ZvSXv7Zni5x5nHkt7tBnDrs5z9nA2Z7iD6mY9k1fuIcvJuM6pbOTKD/e4FPL+S8VjbHm4KESILMpp1a6bRQV/68z7bJ9VFXpbtBgtkuI9lSN3z+BekrxbDwyPc1qw8mJR3tjqUrhdiQ0ZYIDbMqORsg7UKWWdDJuUIC8m2tjVtodMgDtsvNgnxgW5tAs+MzkUsCyokwLcW0hzbEwAY2IcewLsoXFj2IpWIePeobFUNV/4HIgBId6iNh4eGhmP2MdIIRP44/D4Tn+bkxxGqBNDwBXkgkCITslT23tG6dARhysa2JRXSbi3mlvcXLcvzEvFY6PFF1/XKGTcJzIkvru/ZUfuGdLL7d4tP7WCW9LPL+bP1Dbx3WnHwh8XEoPJTG2Lkdl9HBd7dkT/YG9m9hG/4Rfto3Zp/ht7bn4bExPQ/u/ukhSgZV6HQuI9xd9/yrNbIqQrZ2qbeWyL+FIJv3QuzdWLh189meG+kguCApI9Ih7Os+VMJdkSdpLrWo28dS5Z1930DvRi1ax0Ubt/9w6J5XeDrAvmXiqIDSvpisqO8Zjgr5O0aPvXhGQrL9TyqanE+YkL43thYgppodbhXL5qBfP7SXtBD4/0I/3cuQRBYPmUVLcZOemhPqyale5y+66Fn11Fo5Dx/tVpDAjxQeviTrlUD0gbSQE6Pr8m0+nGw66iGl7dmy8qb04uCCy7qh+juyzsVHKZlbfCESqZ4NQgkAsCj41O4H0XFDPdxWvZFo/L8xOSmZbkHm95sFbJF9dksnRgDI+NTnB6vFou470ZA9rHijNm9A7lH5f3cXp/FTKBN6b0d/is9wn0YtVMcXOvmE0frULGtkVD0XY4X0HtpeexaNAbXFYkTArQ8sW1zsddRwRB4FaJUQbyLm1WzUono5uhtr18NXxx7cBOv09P0GIw8fZ+aQq0q46U2FWw/LXhMbY8XDSkurUHR/gyUGI4hYfztC0ypPCGC23EMiEuiO8WDmFaUojNl3r/YG/emNKfv1/ep8f64A6ivNUuLZ7TQu3nVj08MsHpok0uCLx4ZQo3p1uPowhvNd8vHMKYGPuLrkCNkjem9Lfp1WrjD8PiCRL53ZQygb+NTer0txHR/qy9NpMAjeuJ2b4qOfcOieW7hYO7JapgCa1yPY9MJsDkhCA2zx/cvkgf5YIB1ydQx7YbhrGgfwQqkS5MH5Wc2zOj2XL9EKKd5MJ9eaKcCR/uZoOIEMdxvQJYP29gpzDUjtw7NI5bM5x7gLQKGZ/MyeCzazIYHmk7fHFsjOVahXXSF+Iz+4Tw5tT+DseMWPaf23BSymWsnpXO0+N7E+NjfU+VMoEQJ8+bSi4wr284WxYNJfPcu+mRUYm8P2OAzUWyAEyKD2LT/EHM6B0qqd/3DInlkzkZdsNDx/cK4Kt5A0VtSE6MD+LbhYOZmhRsd+5dPrU/B28dZfeeC8CQCF8O3zaKPl02TuUuRmja6ku0j5rB4b5ou7Fpo5QJbC+oplxiKLFOIeO2jGi2XD+UGBdyUBenRREuIQd3Yf+ITuM7UKvk2wWDuXdIrM051F8tZ0Skn81r6JQybkqL5MdFQ0kK0Fl97m6+yq2gQuL9bTKY+MRG7vKvEcFsdkGlwMMlT0FBARMmTGDz5s1ER/d8rK4rNOmNXPHhHnaKKNioVcjYeN0ghkW5Z3f6t0jq69tcqvNT/vvx+Kl7NrH2dE0Ta3PKOdukR6eUMTzK3+VwsYvBQ9/n8LxEVbqfFw8jM8zx5sGRinqWZRXw3sHidtneYK2SG9OiuC0jmnh/52EqWaW1vJ5VQHZZHS0GE+Feaub1C2du3zA0Cue7nbuKapjxcZZDZSyVXODNqanMtROqUtdi4P1DxSzLKuBwRT1mIECjYH6/CG5Oi+RYZSMbT50lr7qJ2lYDQVolqSE+ZIT5MKtPqNt2ZV/ec4bfbxJfr2/xgEjCvdQU1DVT22rAaDbjpZQzvlcg8/tFcKa2ifTlOyT14fkJydw92OKpLW9sZc2xUk7XNJNT1YhGISMpQEd9qwFflQIEiPHRMDs5zCqnzhYHyusY/c5O0XXE3pjSnxtE5NYty8rnP7tOc6Kqs1y3gCVc9PExiQzqYARkl9axOe8s9a1GfNVyJiUE0y/YG73RRNh/v5dcXHZiXCDr5w0CLDWbthVUUdlk4PmdeZLOAxDprSbvzrGd/mY0mfkqt4KD5fXojSbCvdXMTg4lSKtq/y51LQZKGlrwUinwUysI1amYlRxKmIOQ+J8Lq/mxoJqGViMBGgVTk0LaFRG7Q1ZJLd+erqS+1YifWsHkxGCXIkXAMvd+kVNOpYO5t6S+hSe2niSnqhFBEOgX7MWjoxII1No2JMobW4l7aQt6ifHVSzOiSQ31prShFaVcRlqoN5MTgpEJAlXNej49WsrOohpWSIy4uCYljEPl9Rw5K62u14J+4bw1fYCkNl3JKqnlqpV7qXTiwRnfK4Avrs20Oyc36Y2sOV7GqWrLGIzz1zL73NxoMJn48kQFRyrqMZxTFp6dHOZy3q0r/G/3GZdqoT40Ip7Hu2zSXYp0d03tkX730OOYzWY251WyLLuArflVNOqNBGiUzOgdwnOX9+ah73PYUWjf4PJVKVg5K63HDK36VgMfHCrmzf2F5FQ2Ysbier9xQCSL06JEK/gU17fwRnYBHx4upqi+BaVMxoAQb5ZkRDMnOaxHpU5zKht4PbuAT4+VUd7YilYhZ2ikL7dlxjAl0fKyclVcpMVghh5Ilatp0fPOgWLe2l9I3rmaKwn+Om5KixQdXnMhOV3TxOvZBaw+UkppYwtquYzMMF9uzYhmSXok/9t9RnQNpzEx/jYNre9PV7Isq4AfzlTSoDfir1EwJTGEDdcNItZPg0wQ8NcokDmQ5t9dXMOyrAK+zq2gtsWAt0rO5bFB/OPyPoyKdmzAbs2vYllWAd+eblsoK5icEMwbU/qzOe8s7x4s7iQJrpbLmJ0cyu+Hxnb6PkV1zSzfV2g1Fh4YHsfs5FAEhE7jIS3Ml2vdmFOwu7iGV/cWsOGU5R74qBRcHhfI7ZnR3JIexXIRBZf/fllvvJRyntyWa5Vft+pIKQ99n8Ndg3oxNTGYdSJrUoXqVNww4LznIUSn4jYnSfdthuqb+ws5WWWZn+L8tCweEMkNAyI7Laj+9fNpSQWbn91xikWpEZ1KPZyoauT1rAI+OVbaPpcMifDl2fG9USvk7CyqoclgIlCrZFaf0HbjodlgZNWRUt7ILuDI2Yb2Rd/C/hHt3tHKZr1kQwvgdIfiyiOj/RkZ7Y/ZbOblvWckF6gO7eAFaNQb+ehwMcv3FXLsbCNGs5kYX00nAzQjzEdyKNf2gmpezcrn27xK6loN+KoVTIoP7nYo65naJt7ILmTVkRJKGlpQyWRkhPkQ5aMm0V8rOqS5xWBi1dESlmcXcujcAj3C2/Jb9bZhDIZ7q3lpcr9Ofztd08TzO3NYfaSEssbWTvPh1X1CmNE7lE+OifdaCMBdQ3rRJ9Cr/d3w6A8nWPTFAeD8u+EfE5LJLqtzKsLQkRsGRDJjdZbo49uQIuBiNpv55tRZlmUXsL2gmka9kUCNkhl9QlkxrT/L9xWy7kSFlQpzkFbJLelRPDY60aoUiL15dElGNNeknC8dopDJmNknlJl9rL2lxysbeC2rgDXHyqhosoznYZF+3JYZzVXn1gbOMJnNrDtRzmtZBewqrqXJYCREp2J2cii3ZcaQFKBD7qLgjKvtfml4PFu/Ui4Vz1ZhXTNzPs1mb4n9Seu6fuFMSghieXYhWwvOq+RFeau5OT2KJRnRPSaMsf5kOTeuPWi3poxWIePFK/s63f197qdT/PXHkxjs7ORFeKtYPSuDoXZCbFzFaDJz3+ZjDvMzUoK8WDMngxvXHhTlReyISi5Qde/lLucl2WPl4RKWfn2YBjvy4j4qOcunptp8eVxozGYzj245wT9/zrMrhBHnp+H2zGge+eGk05IGvXw1/HD9EKI6hC6VNbRyzafZ/FRk//eZnRzKiqmpdr08dS0GFq09wHoHC/9xvQJYOTPdKhyvsknPvM/2OaxDNTUpmFcn9yOrpI7qFj1eSjnDo/yt1NT+vuMUj2+98GMBxN+DsTEBLMsqoMyGAEyiv5bHxiRy7GwDT28/5fSac5JDOVHVyL4yx2Up/NUK1s8byGAJKoFf5JRx05cH7RZS1SllvDK5H/P7RVDR2Er8yz9KLtq8bu5ArogPwmgy84dvj/HyHvtzSZ9AHWvmZNA7sLMXZWt+Fdd9tt/m/QRLGNcz43tzXb8Iov/3g6T+ASQHenHg1pFWf791/aH2IrBieXZ8b+4bFsemU2e5/osDdj0OarmMFyYmS1L3rGrWM2/NPivJ645MSQzm3ekDRHkqO/KXLSd47qc8u/NLL18Nn8zJcLpRtaOgmrmf7bMqYt6GUibwxNgku+IdZrOZP/9wgn/ttD8fxvtp+fOoBJasP+SwLx1p816uOlLC7V85fjc8NjqRJ7fliqoF9/shvbh/WBwx/9siui9txPtpObZ0tNPjCmqbmf1ptsOc6EWpETw6KoFPjpVRUt+CQi6jf7AX16TYjjBwNo9GeqtZPSudIXbmUaPJzP99c5TXswvsjue+QV6suSajkwppV3IqG5j9yT6OVdr2CgrA7wbFMC0xhKtW7bV7Hnu8N2OA3YiIS4nurqk9xpYbyM/PZ/ny5Wzfvp2SkhJkMhkxMTEMHz6c6667jsRES7L7gw8+yJo1a9rb+fj40KtXL6677jrmzJmDXC5vP27Tpk3s3r3b5T5dCsZWeWMrY9/dyclq55XipyWF8PHsdMobW6ls0qNRyInxVfeoAt1XJ8uZ8+k+u5NZRxyF2zy57SR/2+pcWctLKWfzgsFuzTu7Zd1B3j1oW0K8IxHeKpakR/PENmkKYNf1C+edboZRdGXl4RJuWHvAafK+TICPZqZfdIPrD5uP8d/dZ5weF6BR8NcxSfzjp1MU2MlLGd8rgBXTUjsZWtXNesa+t4ujIkJcJsYF8vk1mVbGb4vBxOSVe9hWYF/Sv430UB++WzgY73MFLutaDFz+wW72lTnfxR0T48/6uYPsemkv5liQeg82XDeQb05V8sOZSur1RvzVljCvK+ODWHuinGs+3Sf62n8bk8Tp2iY+OFRs5WkRgAlxgTw9vjcNeiPVzQa8lHIGhvvi62DB/UVOGXPX7HOqdCkAK6alolPKmbtGfJ/buHdILH+/vI9owyXcS8WWRUPbpcV3FFQzaeUeUfXGnh6XxPM7T0su1jo1KZg1czKt/r67uIaR7+wUfR6NQkbe78aSXVrL9NVZosLcXrwyRZTkd32rZRyJESEaGeXP19cNFBXGC/Dgd8f5187TTo/zUyv4fuEQ+tuptbezqIYrP9pNo975b/XE2CT+NMJa1fC+TUf53x7ndQUDNUrmpITxuoi83yhvNT8uGsq2gmrR74ZnxvXmpb1hAEpZAAAgAElEQVT5nOng9eyIXBB4YHgcj49JpNVoxv9f30qu7Tkw3Iefbhzu8JjShhbGvLuTvBrb/ejIzD6hfDQzzak36YmtJ0W9q72Ucr5dMLg9X7Aji788yAeHnK8NIs/de1s5aXk1TYx9d6dd5dyO3JAawfbCGk5UiU9VCNEpOfW7sVYevUuR7q6pL/1veInz3XffMX36dNatW8eYMWN4+OGHefDBBxk+fDgbNmxg+vTp1NSc363WarU899xzPPfcc9x9990APProozz//PMX6yv0GA98e1yUoQWWpO439xUS5qWmb7A38f7aHjW0GvVGFn95UJShBfC7DYcpsVETIqu0VtTiEqBBb7S8SNy0v/HpsVJRhhZAcX0r2wurJNf+WCqhrogYKpv03PbVIVEqaSazxZisdbE4pDv4/nSlKEMLoKrZwPsHi8lZOoZVsyxG4vBIP8bE+LM0M5o9Nw9n4/zBnQwtgD//kCPK0ALYlFfJy3utFzrP78wTZWQA7Cur429bT7b//29bT4oytAB+zK/mX3byZC7mWADp9+DZHaeY1y+clyf3453pA/jvlX2ZlBCMIAj8W8TCtiOvZxfwvyv7knfnWP41IZkl6VEsHhDJwyPj+W7hYIZE+DF9dRaXvb+bWZ9kc+VHe4h7eQt3bjhs87evbzVw85eHRJUUMANLvz5McZ3zxZ4t6loNfH68TLSHqKShlTu/PgJYds9vWHtAdGHnP/9wwiUFwDZZ8RaDicMV9WSV1JJf28zgCD8WS6jn9rcxSXir5Nz45UHR+US//+YYp2ucv8ee2JorWu11e2E1/xSZ47mtoEqUoQVQ02Lg5nUHbX5mMpu5ce0BUYYWwGNbTnCwvLO39tu8s6IMLbCEjB4oq+PJcUmoHSymM8J8+P76IeiUcknvhie25/LzjcN4f8YAxvUKwE+tQKOQEeen4U8j4jm2dBR/G5uEIFhClqckBYvqd0dmJzuXir9v0zFRhhZYCqu/62ScZZXUit4Utcyj1r/3x0dLRRlaAEX1Ldy98YjNz+78+ogoQwvgnYPFjJYYJntzevQvwtByB56crW5w5swZ7rvvPmJiYlixYgXBwZ0H8wMPPMBbb73VKR5eoVBw9dVXt/9/3rx5TJ48mQ8++IB7770XpfLCJTT2JOWNrXx8VJq876tZ+S4VZHWFlYdLJNXIaTWaeXN/IQ+P7KwQ96qNha8jjlc28u3pSibEBUlqZwup1/42r4o/j0rgSZET+fx+4W6Ty27jrf2FknIs6lqNvHew6KJJv78i8R7vLK5hX1md3fj5rtS06PlAogz2sqwC7hncq31eMZhMvC6xgOjbB4p4fEwS5nP/lsIb2YX8cXi8Vaz9xRwL3bkHXcMyD5XXdwpnFkN+XTPrTpYzo3codw0+/6weKK9j+qosimxs1NS3Gnk9u5D3Dhbz3owBTO+gTvf+ofOCKGJoNpgkhwi34atWSH7ON+WdJaeygSNnGzrlUznDjGXRLxcE0V6GOD8NKUE6/vTtcd4+UNQp7G9YpB9L0qPQm8y872Rx+dcxifx+aCwfHi62G0JnC6PZzOvZBTw5rrfdY5r0RsnjaHl2IQ+OiHe6qfiySOOmjazSOn4urLbKcd6QWyF68xMsv9WyrHxevLLv+b5IfE5+KqrhP1emcHNaFG8dKGL1kRLKG1vRKCz5XbdnRjO2l6Um4As78yS9G+pbjXx0pIQ7B/Vqz/dsMZhYfbSEdScquOOrI+hUcsb3CmBRaiRLM2NYm1Mu+vxquYyb0hwrcRbXt/DZ8TLR5wR4JSufGx2cV+pYPFbZwLd5Z7m8wzz6yl5xG4RtfJ1bwanqpk6CSzmVDWzKk1a0/XRNE9OSQvjyhPP7PDran0dGOi+T8Gvht2FS9hBvvPEGjY2NPPXUU1aGFoBKpeK2227D19d+qIxGoyEtLY2mpiYqKy+dIoDd5f2DxbQape1a7y+rZ7eLCwaprJBYDwJgRZek+ka9kZVHpNeLeVNEcr4zcqsbHeYF2MIM6E1mnhqX5LRey9y+Ybw+pb/L/bPHiv3S63a96cJv5Q4qGltZK+Kl0RUpv++qI6V2cxPscaKqkS3553/7jafOUmhjMe+IqmYDnx4v49NjpVRL9Bzm1zWz8VTnnKiLORage/egK67OQbuLazv9v6C2mWmr9to0tDrSZDCx4PMDbO9g4LkyP20vqHZJHjs91EdyAVozlrHsSj+/yCnnnyLLOeiUFuntQW/+xAu7TlvlV/1cVMOtXx0mt7qRD69Os5Iy1yhkLEqNYPsNQ9s3yt5yYQ5y1uaznDKnanNdKaxv4etcx4vZqma95MU82J4zXZl7PzhUTMs5A6isoZV1J6TXqVqxr5BgnYo/DIvj58XDyf3dWA7fNpr3r05rN7Rc7V/H+ePF3WeIf3kLN687xCfHSvkm7yyfHy/j3k3HiH1pC5vzznJlvPiNnQeGx1nlo3blvYNFkhUX95bU2fWANrS6OI92+L1zKhv4MV/aZpHJbNkI7chbB4pEeRk78v2ZKp4d35ub06Ls1mgTsBRM/3LuwB4VDbvU8Hi2usF3331HbGwsaWlp3TpPQUEBcrncoVH2S+NktXSJcYCTVU2SEshdxZX+na5txmAyte9EFte3iA7J6EiuhN1Fu+eocu0cuVWNvH91GhPignhlbz6rjpS07ybKBJgUH8ztA6O56lw4lbtx5b674365wpnaZtFhph3JlfAdT0qIb+90jaomxvVqO4frz4ILX8/StstvcjHHAnTvHnSl2WXVzs7t/rUzj+J6cR6UFqOJR37I4duFQwDXvs+Z2hYWpUZIKkSeEuRFmJdK8qIKLM+5K/2saTEwJyUMjULG/d8es/vcRHmr+cPwOP747XGnC9odhTWYzafZOH8Qda1GCutakMssohFdy1a4MubKGlupazHYFbVwfRw7bnemtlnyYh5sjytX+ljXaqSssZUYXw2na5ok5zzZ64stXOlf27n//EMO//gpz+5xDXoj/9p5mhm9g7ksNtDp5sLdg3qJKizv8rxT3WhT4bK4oUWyuqblfE02/+3qOcC138MMFNQ18+pV/XhoZDyvZRfw9UmLIqyXSs6E2CBuy4wm2cUyBb9kPMaWi9TX11NWVsbEiROtPqutrcVgOL9b7O3tjUpl2SExm83tHqzq6mpWrVrFoUOHGD9+PFqt85o5Hn75mF1a2rjr2hYGhvvy+pT+PD8hmbxzL9FIb7XDmjEexPFLkRz6hXTzghNsp3aQM4J05xf1Da1G0fmUbWwtqOZgeT2pdsQNnGHGzL1DY/n4WKloefVHRrkextOd59wM3JIRzZyUMN45UMR7h4oprGtGIRNICfJmSXoUM/uEMmjFT6KNjZ+Kanj/YDG3ZEQ79Uh4EE9331c9PR9+drzMoaHVkS9yKnh8TCJzU8J4JSuf/R0URNtqxv1uUAxTEqXnFUrB3ffkUnznxPppeWpcb55yEH77W8JjbLlIfb1lkOp01pKZc+fO5dSp85LBzzzzDLNnz25vN2LEiE7Hjx49mqeffroHe3vhaVOqkt5OepV2166jpbxRWthHtE9ndcRwLzUahUx0cnjHa3eXOBHFbMVc21etIO0C1rSK89NKUisCiPW9OJsQ0T4aSbklbUj5bVx9FmI7jBNXx0x3nsPYLm1dHQuxbhrvrt6Drt8DYFJCED4quV25dVu0hca0sfn0WVGy1F359FgpqSHexPlpRYuWtBHrq6VvsDerZ6Vzzaf7nIanPjO+N3P7hrvslYn319JsMIkWd2nDRyUn+FzpAX+NknuGxHLPkFir4747XSn53K9k5XOLk7zfOD+tXQU7ewRplQ6l2l0fx47bWd45gmQPu605M85fy4Fyx+UJuuKllBN6znCN8dUgE5DsDY/zt4zNmhY97x4oZkdhNU0GE0FaJbOSQ9uLFsf5a8mplPhu8NPwn13SxGyWZRVw4o7R3JIRzb6yOouRLwj4qZVsLahiY+5ZNp+qpE+Qjvn9Ihwqhrr6HrZXjD7CDWsKd7xTuncej9PAFr+dgEk34+VlcYM2NlpPDs888wwrVqzg8ccft/pMp9OxYsUKVqxYwfvvv8+PP/7I8uXLCQrqfpL4pcTC/hEoJRar6xfs1WOFi7uy2Eniq5g2Xio516Y4VyvqirOkWzEkBegkK/8IwOI08cpdPYEr17/pIvU51EvlkoKVlN93Xr9wyXk2Cf5axseez3WYnBBMhLe0nXw/tYI5yWHMTg7FVyVtzy3SW83khM7z1cUcC9C9e9AVb5WChf0jbLSwzxXxQe3FfcGiuukKbe1cGSdtbSbEBfHD9UOYkxxmcw4eFe3PmjkZ3H+ujlJigI6xMY6LXdu+XhQ3utDPhf0jRNXtW3lYeu7K/rJ6Dlc4Nihc6fONThQPZyeH4Sexbla4l4opiY7nlyCtiukuqDfelG7dXymqjW1c1y+8XZ4+3FvN5ATp8+Gi1Aj+sPkYcS/9yH2bj7H6aClfnijn7QNFzPw4m77LtvHx0VKX+jc5IVi0AmkbRfUtfHFOKCM91IfUEG9W7C/isg928dD3Oby8N58X95zh7o1HiX1pC3dvPEKdnY2TRakRKCSuc9JDfeyWvPBSybnGpXn0/L1LDvJiRJS0VAzL2qDzXOzKGmlsTECnedDDeTzGlov4+PgQEhJCTk6O1WeZmZmMHDmS9PR0q8/kcjkjR45k5MiRDB48mNDQi1+0tScI91ZLro/kbplxRyzoFyHp5aiQCSxJt5587hgorc+J/lpJSbqOWCrx2pfHBtIn8OLGSt+cFuVQBrgrOqXMaUHpnuQOic9kZpiPpGK9ARol8yQWdLw1I7pTnRalXMbNadJUPBelRuClkuOtUnB9qjTD4pb0KJsKalLHQlKA+8aCq/dAp5SxOe8sj245wf2bjvH4jyfZXVzDH4fHizbevJRynhib1OlvriZ+a861W5QaibdKfJkGlVzg5g7zU1qoDx/OTOPEHWN4dXJfnhnfm/9ekcKem4fz3cIhTO2ygJc6l4zvFUBKkBczeocQ7SMt9FhMzSqA0kZpgift7ZwoDc5NCW/3rIlBJsBtmY6fLZ1Szg2p0uapm9OjRBmdUsfVgBBvRkVbG89Tk0KItVFLyRFdfyupfRkY7sOT207x391n7HpaT9U0sfDz/cgFJL8bXPVo7y2xiNkcr2xgzLs7+eRYqU3vYYPeyLKsAi77YBdVNgRQonw0kksZ3O7kWZL6zkkK0HJFl3lU6ni+Ij6IpC5GUkqQF5d12NQTg9Tr/pbwGFvdYPz48Zw+fZr9+/df7K5ckvxzQjK9RE7uV8YHsSTDPbvcYvBSyXl9Sn+7ijldeWFiMpE+1t9lcIQfDwyPE3UOjULGimmpbhOeuDYlTLQ3IUSn5H+T+jo/sIcJ1ql4SWQ/BODVyf3w11y8cggT44O4VeRz6atSuKTg+PT43iQFiAu9GBPjz102ZPAfGB7HkAhxAjv9gr34y5jzyd9/HZNIX5EJy0Mj/PjDOY9IV6SMBa1CxptT3TcWQPo9SA7yYsAb27lq5V7+vuMUL+45w1Pbcxn5zk6uXbOPh0YkEOXt2JDwVSn4ZHa6VVHRoRF+ThU/bTHsnKHuq1awbHI/0ed48Yq+NvMt61sNHD3bwCfHSlmWVcD/bTzKv3eetlo4zkkOFW30B2uV7WNYIbPMaSq5uJ7+ZXSi3YK7XVG5WGfR2YJdrZCxfGp/5CKfvb9f1ocEf+e79Y+NSaB/sLjvNjjClz8Oty4YbIvxsYH8TuQi1lslZ/nUVJufyQSBFdNSRRs0D4+MtxJxmJQQbHPT0RZ+agX9g73ZeMq5fLgZ+PMPJ/nDMOtwUlu0vRucFQe2R6vRRIvBxIzVWaJEbPaX1bPwc9vrvBcmJovecJiSGMykhGD+tvUkY97dSfob2xnz7k7+tvUkRefq5A2JtD/HdkWrkLHCxjx6Xd9wZieL2+wO1ak6yft35KVJfUVvTMzrG84ckdf8LeIxtrrBkiVL0Gq1PPzww1RUWEuiurNg5y+RCG81mxYMpl+w44XcrD6hrJ6V3qNFjG0xs08oH1ydhk5p/7pKmcBLk/o63I19alxv/jwywaHhFqRVsn7uQIa7MUxSEATempbqNMQlwV/LpvmDLxn3/g0DInljSn+HL32NQsbb01O5rp80r0tP8OKVfbl7UC+HC99IbzUb5w9yKf8tWKfim/mDbapTdeSqhGA+vybTptdEp5Szbu5ALneyEzks0o+N1w3upNDmr1HyzfzBDHWiAjohNpB18zKt6lJ15KlxvXl4ZLzTsbBmTgbHKxuZ82k2Ez7YxfRVe3l2xynKJNQ/6oqUezAhNoi7Nx7luJ0ckT0ltfx+01HuHRrLY6Otja5AjZLfD+nFjhuHkR7mQ02LvtN8nxigs9ptdkaUt5rpvc/vkl/bN5x3ZwxwGGaqkgssm9yPm7osgOtaDMxbs4/U17fz711n2F1cy6EKS/2wP353nLiXtvDktvOFrQVBYMW0/k5DduP8NGxaMJjeHTzk43oF8vk1mfg7iBSQC4LFqA/24qqP9hD94g+E/ec70t/Ybvd3T3cyHmyhlstIEbFxcFViCB/PTsfHgfdQIRN4fkIy/2cjn8wWfmolG+cPYrgTz/ZlsYGsnzsQnYQC8y9MTObeIbEO56BwLxUb5g1yOI+Mjglg7bWZBDrYwJIJ8NjoBP46Jsnm5/+b1Je7Bjk2/qK81Xw2J0OSbL3RbCanqlHUu+Gtc+8GV4VQgnUqVh8tkaTctymvkqySWqu/R/lo2LxgiNPnbnZyKBHeapKXbeXJbbn8XFTDkbMN/FxUw5Pbckl6dSt3bjiM3mji6fHO59FgrZJ1cwfaTL0QBIF3pw9gkZOohUR/LZsXDLabQ5YUoGPTgsHEO8nDuiktkhXT+veIgvGvBcH8W7cIusmmTZu4//77UalUTJ8+neTkZEwmE2fOnGHt2rVUVVXx6quvMmbMGB588EE2bdrE7t27HZ7zwQcfZP369SxdutTqs9DQUK655hqn/SooKGDChAls3ryZ6OgLUyjYHkaTmXUny1m2t4CtBVU0G0z4qRXM6B3K0oHRF0Tq3RFVzXreOVDEG9mFnKxuxGy2SAbfmBbJLelRohX6TlU38Vp2AR8eKqakoQWFTKB/sDe3ZUQzv3+EpJerVA6U17FsbwGfHCulskmPWiFjaIQft2dGM7NPqKhwlQtNeWMrb+4r5O0DheTVWHb14v213JwWxeK0SIJcVIXrKY6dbeC1rAJWnivMqZLLyAjz4bbMaOamhHe7ZojJbGZDbgXLsgr4/kwljXoTvioFU5OCuTUjil5+WlqNZkJ0Sis56478mF/Fq3vz+Tq3grpWI15KORPiAlmaGcOEuEC7L0Sz2cymvEpezcrn27xKGvRGfFRyJicEc8fAGEZLyOtxNBbqWo08u+OUzbpEKrnAotRI/j0xpVv388f8Kl7Zm88GG/eguL6ZW9YfFnUeuSDwzfxBDI/yY19pHdUtBryV8nN1pgpZeaSkXbo82kfNLenR3JIeRbi3ms15Z5mycq9oLbdnxvduz6PqSGWTnrf2F/Lm/sL2xWGsr4Yb06K4OS2KUK/O46Sh1cgVH+22qvtlizsHxfDCxJROfztYXs+yrHw+Pnp+LhkS4cvtmTHMcjCX1LcaeP9QMa9nF3CkoqFd4XRhaiSjov24Z+PR9nHeFZVc4G9jkrivw/cvrm8h6ZUfJUmfL+wfwYpptj07tmgTbXhjXwE5lZZSCNE+ahYNiGRJepTNaAZnmM1mNp8bR5s7jKNJCcHclhFNo8FIfm0zMkGgT6AlX07sIjWn0jIHfXSkhLIGyxyUHmqZg+L9NfyYX01tiwFftYKrEoKtPK5tNLQa+eCw5bc6XFGPwWQmwkvNgtQIbsuIFiVycOxsA8uy8ll1pLR9Psw8Nx9emxLO2wcKuWvjUUn3TiUXOHnHGIsXbn8hb+0//26I89NyS3rnd0Oj3kjcS1sk1QqUCXD4tlHcuPYgPxdJq6l3U1oky66yHb1gNJn58kQ5y7Ly2VZQ3b7OmdknlFszonn2p1OiiipPSwph9ax05DLB7jx6e2Y0vQO8+DynjJKGFsu7KNSHRQMiCehiSO8vq2NZVj6fHC2jqtkynodF+nF7Zgwz+4SI2uTWG02sOV7Gsqx8dhXX0mIwEahVck1KGLdnxrisoPpLortrao+x5QZOnz7N8uXL2b59O6WlpcjlcqKjoxk+fDjz588nMdESsiPF2FqzZo3Nz/r378+nn37qtE+XkrHVFbPZ/KvfAbmY3/GXeH9LG1pYd6Kcs016tAo5I6P97SYRXwpciHtsNps5U9vMa9kFvL2/iLJGy+6/XBC4KjGY2zOjuTI+yGE/utNPd33Hjud5/MeTPLU912mbSG81T4xNYlZyKN4SBTwcXR9gwOvbOVYpXuUuNcSbL6/NJNJHg8ls5v7Nx3hpT77d4zXnQnvmpITxws48/vSddV5vVzLDfLgmJQyfc3l0Z5v0lgWwt5oZvUPwVimoadHz9oEituZX02o0Ee+vZXFaFOldvKn3bDzCq1kFor/fyplpzLIhFHLsbAOb887SoDfiq1YwKSHYSqFMbzTxVW4FJ6ssm1Tx/lqmJoWgksva7/uB8jouf3+3KHXGx8ck8tC54sN7imu4a+NR9tjwJthCJsDWRUOJ8Fbz/M957CquxWAyEemt4U8j4hga6TyqYG9xDTuKamjUGwnUKJmaFEK4t5qdRTXsLKqhuL6ZovoWYv20hOpUjI8NpJ+T0EGz2Uyj3sTzO/N4c1+hVZHr3oE67siM4Y6BMcgliC203d/Pj5fxzI5c9pZYq1cOifDlz6MSnEqZtxiMrDlexroTFdS06NEp5YyNCeD61Eh81QpqWwx8nlNGaUMrKplAWqhPJ5EeW3PFresP8baEmm9t3DWoFxHeKnRKOaOiA+gf7MW6kxWcOle/MN5fx9TE4Haj//5Nx3hxzxnR55+cEMTHszPw/udmyX0L0ip4fUoqkxOCnBopHe+J2HmgDVsbL23n21ZQxf2bj9n8vbUKGdenRvCPy5Ntbu72xJz+W8FjbHmwyaVsbHnw0Mbhinqe2pbLZ8fLrHawB0f4ct/QOJfUmX4NfHy0lJu+PEiLgyK7M/uE8s701HbFsEuZr09WMOPjLEltNHIZi9Mi+fOoBLfUgPvudCWTPtojuZ1CJjA9KQS5TODjo6VOj5cLAqtnpzMtKYQPDhXz1x9P2PXqOMNLKSNEp+JMbbNN2e14fy3/uLwPM3qHUttiIPalLU5l3zsyNiaATQsGt/9/c95Znvspz6rwa1vR84fO5fI891Mey/cVWOW8hOpULE6L5KERCXip5Ax8cwcHJUiOPzUuiU+PlYk2str465hENuZWsL3Qtrci3EvFq5P7McWGoMGnx0rbDbSOyAXwUSkcek7GxgTwwPA4JtlR6jvb1MqUlXvJKnUs5T8lMZhVs9JRSYhC+O+u0zzw7XGH3lMB+M8VKXbFC5Zl5fPktlybwiI6pYykAB0nq5qsnqnkQC/uGhzDbRnRNhfei744wMoj0hUlu6KUCVbvhjAvFTelRfHgiHhqWgyMeudnCuqcC6oIWEQ+FvYPZ9S7u1zuU6S3miUZUTwwLN6pB95kNtN32TZO1YgPWYz11XBs6WirnLSvTpYzd81+h+8EgOGRfnw1bxBeEkR2PDjGY2x5sInH2PJwqfNjfhWzPs6mttXxjvdDI+J5fKzt/IFfK+tPljPnk32ianxd3SeUlTPTXE4Wv1BMXbmXb/KcJ8vbIs5Pw9fXDRIlVOCIv/54gqe3n3J+oBsI81KRe8cYlHIZBpOJyR/tZUt+VY9d74mxifipldzzjbTQLYD9S0aSEuTFG9kF3LXxiMNaSkqZxbtgL9+tjYHhPjw2OpGZH2dL7o8UwrxU3Dc0lmd3nKKq2bn37OVJfVnSoRbXE1tP8sQ2595WRwjAvyYmc2cX8RqT2czl7+9me6E4efJFqRF2BS66su5EObM/yRYVpioT4MtrBzKxSx6hWE+zIxb0j+DNqf2t5p97Nx116AF2B0MifFk3dyAlDa1MX7WX0yLrpykEMLhh5Ts62p+11w50aNRsyK1g+mppm0wAn1+TwVUdPJKna5rIWL5D9EbKgv4RvCUhpNaDY7q7pr70Ejk8ePDwqye3upE5nzg3tACe2XGK5dniw6J+6RhNZu7ZeFR0MeXPj5ex/qS1QM+lxMmqRja5aGgB5NU0M311Fo0SPDa26G57KZQ2tLLmnEDAY1tO9qihBfDolpOSBAk6criing25FU4NLQC9CaeGFsDekjpuF5kbJxW5AFfEBfHu9AGcWDqal/fkizK0AO7ccIS9JRbv11v7C7ttaIFFTe++TcdYm9P5/m/IrRBtaAG8d7BYdNH3v+84JTof0GSG537qvMnw5YnybhtaAB8cKuaRH05Y/f1CRCTsKq5l/mf7SQnyYvsNw4gSqQroDkMLYGtBNTd8ecDhMYckFpJu43BF51DnZVkFkjzWq46UUFjnmjfdg/vxGFsePHi44Ly4+4ykpOZndpzCKCFR/pfMupPlnBG5Q9vGsr09u4PcXfaV1YleGNojp7LRpUK3HXEkLNITvHewiMomPS9JyCnpDruKpSX8t6E3mnlqW65TQ0sqpY2uq0s6wmi21AGa1y+cb09XivZogMUwun/zcUxmM0+7wdjoeN4nuxhur+6VtklkBl7Lcj6Ws0pr+UmiuMP3Z6o40qHg8392nZbU3hEv7TljVU5gVHQAAy6AcMLm05VsL6hmR1E1hSJCCd3N2pxysh2EiBpcDB7rGDrZajTx9oFCSe0NJjNvZEtr46Hn8BhbHjx4uKA0tBp572CxpDZnaptZf9K5ktOvgQ8OSbs3ABtPne2WbHpP0+okx0Asr4pYiDqiazHfnia/toW3DxTSZHDP93dGXatrniFVrFIAACAASURBVLsmg1Hy4v1i8+7BIhr1FmVLqWwvqObDQ8Uu59HZI6u0jl3n7qPJbGbDKeke53UivNTfd8mnE8v3Zyze1SMV9fxwxn2e1iaDibf3W4th/P2yPigkiH64yqtZ+SyTaNi6E0cGcoSTWn32iOzQ7kRVI+WN1uqtztj5CxvTv2Y8xpYHDx4uKD8VVYtSJuvKhlzXw9B+SRTXS9+dNQOljRd+V1cs7hC3AMtitjtGZUaYT3vh4AuBXHbpP7fxflqb4giXOtUtBn4uqmGvRCENsIwXqRs+Yvk612Is1bcaXfIU1oqYG+tdNKrrz4Vt73Ui1uEKG3KtjcSJ8UG8LaGQsqt8fbK8W2HK3cXRGJ/ZOxRviUIVXko5M/ucLxDc7OJmTZPhwoVNe3CMx9jy4MHDBUXMYsJmOxH5Xb8GXN0JVrpYFNzUXI2h4jiGiuOYmsTnl0hhTIy/VWFgMQiY6SOvYKCiiGR5BTJM3X4O/jI6EfkFEhNJCfKS1N9goYF0RQnpihKCBHG5O11p2xG3de9ssSQjirpzfQyRWa6fpighQBCvnnYh6fi9DJWnMJpcW1D21HzSdi91StfGo7eIeox+DgpIi2knNFaQoShmgKIUP6F73r1esmoyFcUEtxRg1nc+l7G+jFnB1eyeGcKdaUF49VCtybpWY7fDlLuiwkBfeTmZimIS5I49iY6eJR+1gvn9wiVde36/cHw7/MaBWtfCnwNcbOfB/XSvgIkHDx48SMTHxbpJPr8RGdvUEB9+zJdm9Pio5PTylVaAVV+cTfORL9Cf+QnM5xasggxlzDA0KdNRRg2SdD5HKGQybk6PEi1GECA0sVC7nxu0++glP++5KDD64HeiFNOAGcg0zusm2WJifBCvTenH7V8dxtDDeYBL0qPbw9wyFMWMUuWjE/TUmtRsak3gpNFSq2isMo+bdVlMVOWiECx90ptlbGhJZEVTJtv0vexeoyvTeqnxzd/GtaosYuXnw4gKjT6815TGu01pVJi9AEt9r98N7MUXP6zjfb/1jFflIT93/VazjPUtvXmzKZOdetcVbQVwy0LYT2jmeu1+Fmn3Edf2vbJhV5AP7zYO4J2m9PbvJYa2eaifoozF2mzSFaWoBCMVJh2fNyfzaXNfGpFeWL2tLpxCJmNMjL/ksXxZh/pV9picGOxU8r0rMsHMVPUJaje8xKSibCYHWlo3m+WsbUnmzcZMsgwRos6lxMhMzVFu0mYxUHkuj9IEVSvfQpVwGXKfCPRndmAoOwRACPCoQsNjg8eRGzKRam0Uh8vruf/b4xK+gX18VHJqWsQbXKOUZxirOo2X0EqdWc3mlnh2G6IAiJbVsFibzXztQYJk5zccjhiCebspnVVN/a2eC2fvpkdHJbIx96yo3MJYXw2Pjk7s9Lc4Py0Dw31s1tZyxGwb9fM8XBw80u+/UjzS7x4uVepaDMS9vEVyfom94qv20Jfsp+XIWvSlB8HQjKD2QRkzAk3facj9bNecuRQ4WF7PwDd3SGpzx8AY/nNFiqhjzWYzjTtfpeXwZw6PUydPRTfiLgTBPQEQ1c16xry7y2lB4RR5OR/4f0Kk3L6Kl6ANwGfiEyiCe7vcn58Kq/nnz3l8mVNux+fTPfoGebFvyUhWbfyU4LzPyFB2rs9lMsNWfQwNZjVXqa3V3DryWuNAHqu/DIvpYp8UeTkbI9eiarG/E19m1LGoZjbqkGTWzB6Adu//aD25yeF5/90wjGcbxjg8xh6jY/zZXVzrcigUQB95BR/4f0K03P5is9ykY1H1LLJFGAwCsGJCJN57XmC0yna+TY1JzZP1Y3m3OV1SX39YOIQR0ZaNgFVHSrj+C8dqdYMURSzWZTNRlYuP0IJMqUUdNdCy4RGZYbfdVR/tYbON3C0BM8OVBUTJazGZBU4aAzliCOaTyM0MMdjvi8kMzzaM5r+Nwx32109o5m2/NQxXuSi+IMjQjbib5tgriHt5C4367o++a1LCONukt6oN15VZ6iPc67WDPgrr4w7oQ9nQkshS3W68Zfbzo44YgllQPYdi0/li4osHRPLalP4Or32yqpHpq7Mcqk0mBehYe20miQHWJS5W7Cvk9q/Fq3uG6JTk3jHWaR0wD+Lw1NnyYBOPseXhUuaejUd4NUt8QnOUt5oTd4xBLiLEztRURf3mxzGUH7F7jKr3lXiN/D8E2aXp3J/00R6nC4c25ILAnpuH0y9YnPJX4+43aT6wUtSx6n6z8Bq2VNSxYsivbeay93Zxxo4kcbSshvUB7xMqdx5CJ6h98Z32b+S+Ud3rU00TI97ZSZkblfP81Qq+WziEhJL1NO1e7pZz/rdhKE83jLX7eZSslg1BHxAsOJeablV4EzDt3xgOf0zL8a9FXf+Z+tH8x8lC3BZfzxuIXCYwd80+h/LsXko5DXojyfIKxqny8BFaqTOrOGgI5WXfdYTLHRvpAFUmDdOqFrR7DO0xK1bFMsUKTHXO87b+Vj+WlxuHOj0OID3Uh103nb9HeqOJQSt+4uhZ6757Cy285ruWy9V5ds+nCO2H94S/2PTibs2vYtJHe9pV69QYuEW3lxs6ev7OUW1S4y8Tl9P557rLWd400OZnSoys9l/luqHVjoDX2D9yz/EwVtgQ1pDK5gWDqWhsZd5n++0ec69uB3/y3ubwPGYziIkwPm4IZFrVAmrNlmiCn28cRma4r9N2jXojKw+X8EpWficFw4wwH5ZmRnNdvwh0dkItmw1Gxr+/S7R365VJfbklw7P2cxceY8uDTTzGlodLmRNVjQx76yfR3q3/XpHC0oHOvVGm5lpq19+Lqca5IafsNQrvyx9xm+fGnRTW1HP3h1/Q3FRLo1nJPkM4DWbbIU1di7Q6wlhfSs3Hi8EsdjdZwG/2G8j93DeH1LcYSH9zB/nnQmp8hBbmag4xV3OIZEUFGkG8x1OVMB7vcQ91u0/vHChiyfpD4q4pF1DJZXZFCvoE6vhoZjp96vdS//1T3e5bG0azwLCzSygw2Rb4+KfPBq7XOvaidEQROQhD0R7Rx7eY5QyquE1SqN7IKH++v34IYPFov3+omNeyCzhcUY/JDEFaJQv6RXBbZjQHD/yI5thqRqi6pyr3RXMfbqudYfdzmQAn+n2LrnyvqPOZzDC1aqGoELuPZqZZhW7l1TRx5Ye7OykfqjGwyn81w0QYLXL/WHymvoBMZX3fVx4u4eZ1B9GYm/nA/xOGKLtvuDSYlKSfXUq92TrHcp7mIP/xFWecO0PQBlBy+auMfG+vpPpRXRkbE8CmBYMxmswMe/sn9pdZbzbMUB/lNb8vu9NdK56tH8W/G0dwVUIwn1+bKbl9eWMrda0GfFQKQnTiwlVLG1qYvjrLodS8ADw5LokHhsdL7pMH+3iKGnvw4OEXR1KAjtWz0kUlTN83NFaUoQXQuOs1UYYWgP7MNlpyNog69kJhaqqice/b6L66lTfUb/Oe/xo+DVjFvqBX+Lv3NyTJz6teBWuVvDUtVbShBdBydJ0EQwvATPNR9y5SvNUKfr5xGAn+WuZpDpId9CpP+XxLurJUkqEF0Jq3zS2iHjcMiOSRUQlOj9MqZKyelU7+neN4eVJfRkb5E+enISlAx4zeIXx5bSYHlowkNcSbpn0fdLtfHZELZhZpbe/c+wgtzNMdk3Q+Q5E4Y6MNtWBkofYAcsGiYOiM1BBvPp59PgTPR61g6cAY9t48gsYHJtLwhwkU3zOe5ycmE1vxA5fl/afbhhbAZPUJQmW2vXsyYNXEUHTlWaLPJxPgZq3z458d39tmjkycn5YfFw3lxgGRaM+FdN2h2yXK0AIwVp+mae/bNj+b1y+cb+cPYm34ercYWgBeMj3zNLY3HhZrs91yDQBzUxUJ9dl8eHVa+32RSnqoD6tmWZ4xuUzg82sy6R1oHYJ3l25nt/pqi+u1+xkR4cO7Mwa41D5EpyLBXyfa0AKLqut3C4bw3GV9SOoSaqiQCczsE8qmBYM9htYliMez9SvF49ny8EtgX1kdT2w9yboTFRi7TEUDQry5d2gs16dGijqXqbmW6lULwCi+Hok8MAG/q1+R1OeewlB5irpvHsHcaL/OTjNKXlbPJyXtMq5NCZccj1+9+gZM9aXOD+yAoA0g4LqPJLUR1ZdDX2La+WK3z6MbcRealOlu6BGsPlLCP3/OI6vLzrFMgMkJwTw6KoFBEc6l4/WlB6lbf79b+tSRM0Zfhp69rdPfon3UvNW/jNTc191+va7kC6HUXP4fBoX78dT2XN7aX0hFU+fxFqBRcOOASB4ZldhJUc0e+sI91H3ziMRNAMfYCoXrF+TF/yb1ZWDppzQfWCXpfM1mOekVd1BjthahGRrhx59GxDG9d6iNlp2pbNKz+kgRkw/+ER+j+E0CQanDf96HCErr67cW7qZ+459Fn0sMu/SRLG6+kVl9Qqlo0vN1bgWhpkp2Br/h1usoY4bjM/Fx9pbU8sS2k3x1ssJKLl8uWIpYdyRIqzz3jCW0C5K0cbaplb9tzeX9g8XUthoYpChiXaB7Nz7aUF3xd7yj7efV9SRms5k9JbWUNLSilsvoH+xFpI80kSQP4unumvrSTFjw4MHDb4L0UB8+np1BQW0zX+SUcbZJj04pZ0SUPyOjpanNtZ7cJMnQAjBW5mKoOI4iuI+kdu7G1FBB3caHMTc5ztPSoOc+w4f4hGSgVIgzQjtdxwUvkLnZ/YUxjfVlmHa97JZzmZvc179r+4Zzbd9wdhbVsDW/iga9kUCtkqlJIcSJ8Oa0oZfoNRJLpKKJyQlBtBrNxPlpuCktimFR/jQdWE2TOKHHbtFL3UJAL0s+1NPje/OX0Yl8nlNGbnUTZrOZOH8tM3uHopUg8d207wO3GloAtyR70aKPoNloIsZXw60Z0e2egLqjeZLPpxGM/HOoD/sM4RTVt9DLV0OEt5rxvQJF5eq0EahVclNIKfUSDC0As76R1rwtqHtfafVZy5G1ks4lhgxfI6duHoNGYfkdzza1smXvdnCPeGA7pnNzy8BwX9bMyeR0TRNfniinskmPl1LOqGh/0sN8+Px4ObnVljzOBH8dV/cJae9bV4K0Kv5zRQpPjUvis+NlBJ3KAem1pUWh0kuv8eYuBEFgsIiNHw+XBh5jy4MHDxedaF8NvxskXt7aFsZa18JojLWFF93Yajq42qmh1Y5RT9OeFSin/FPydQS5ErNRYvHjHhARaTn25Xm5+e4id38tmaGRfgztRvFjs75nalQplWq+uNZavECQS5codwVB1vleqxUy5vaVVkOoI4aqPAylB7vbLSv6hwXyZkaq7Q9dfO4W9A3hxjBxip+OECPKYQujjXZmkxF9gftD5DRqdSdjJkirYnpyFLVuNraELmM31k/LnTbeA/Mk1qkCiwT/9amRNLboaO4hY6sn5h4Pv048OVsePHj4bXORI6nNhmZaTziW3u6KofQAhqo8ydeSByVJbqMITHR+EGBqqUdfcgB94R4MZ09gL0LdbDbTctx9uXLyIHH9u5AISuu8EXdg7/dz5Xd15/VdRV8oXqBDCo6eCUEX5NI5ZS6260nM+ia3ewUB5IHWv7PcLwoU4r274q7T82NXsCEs4p4Ty5AHOs/z9OABPJ4tDx48/EqQeTvPmbDd7uIWftQXZWFudS7X3ZXWvB9RBMRJaqNJnkp9sbQkd3XKNIefGypzaT78Ga2nvgfDea+ZzDcKdfJUNMlXdTI+zK0NmJu7L2oBIPOJQBnpvuLL7kIVPYTm7Pfcfl6Nnd9CGdYfeUA8xqpTos8lqH0xt0gLg3L2LEimBzyAMu8wlNFD7H6uTphAa85GSedUhPVH7uO6B68jMh9xhYO7IrfRTlBYKwa6A1u/s6DUoU68jJZj6910FcHu8+xOVL2G07TbvblmAMqowcgv8rvDwy8Hj2fLgwcPvwrUiRMkh7zJ/GJQhjkuRtnTmJtdi/uXulAGUMaOkmRcCrogVPH2azu1nNhE7dq7ac3Z0MnQAjDVFtK06zVqv/w9pobyDp+4z5Oo6TcLQUxhnAuMIiQFeZDrBZdtIfMOQ9lrpNXfTS11NB38BFOr8zpUHdEMmIugFh8qKfPrhTJqsKRrOENQud8DqO57tcNyDsrIDGQSi5qrU6ZjNuppyf2O2q//RPXHi6n+eDG1Gx6i5dQPmE3264dZXT9qEDJdsKTrC0odqjjrcSjIlchDuh/a2BF5cB+7c6K679UgiM/Hc4QyeohbS0rYQ+4XgyLC/SIWmv6z3H5OD79ePMaWBw8efhXIdEGobCxGHeEuFbtuoXAt30aQS9/VFmRyvCc8jqByXgBZUOrwmfC43Xyg1vyfaNj6PDhZaBqrT1vEP84ZA4LKyy2hParECaj72q+ndLHRZlyPpepN9xFU3pbfTdZ5odt8+HOqVy6kaddrmBvKRJ9PlXAZmtRr8J7wF1A4VzATNP74TPiL2w1bZZR7vZKq+HFo+s92epzXiLtBJi7fRhk1GEHlTfXqRTT88CyG4mxMdcWY6ooxFO2l4funqV61CL1Ij7Egk6NOnirq2DZUSVfYVCIE+95OVxB0wXhf9qjdzxUBcXiN+j3dfq5lCgxnc6j+dAkNP7+CUWS5DlfRZi5ya+6pduCNKCNtF3724MEWHmPLgwcPvxp0w5Yi8woRdawiIgN1irRFT0+gCE7GlcWLIiTZtesFxuM79QWHO+LyoN74TPkXimDb3hmz2UzjztdF54sYq8/QfPwrAARBhipxovSOt6HQokmbj9eYP1ySXq02VL2Goxv+O5z+tjIFMh/7ypLykBR8p76AIrBz7Zymgx/T+PPLIEXwRKFFk3YdXmP/iCAIKMP643vVP5AH2K/LowhLxXfav3vECyH3j0URntb9Eyk0aAbMw2vcg6KeCWVE+jlD03EOkjJ6KOrkqdRv/ivmpiq7x5mbKqnb+Aj6InH1uzSp16AIFedRlwfEoxt4o93PVfHjkHl3P8RREZGB37R/I3cSjq3ufSXelz2CzMvecYJzA95kwNxUhakmn5bDn1Hz6RLqv38Gs0GieI9IlGGpeI39o3MDW65GETXY7nGCxh/dyP9Dm76gB3rp4deMp87WrxRPnS0Pv1WMdSXUffMIppp8u8coY4bhPe5hu7vFF5raDQ9jKBIvFiDogvC/9l0rT4dUDBU5tBz/6pzSmRm5dwTqPpNQOAlN0hftpW7DQ5KuJfOJxG/OmwiCgLH6DDVrbhXfWJCjjBqEMmow6qSJPZf03gPoC/fQtH8lhpJ9nT8QZChjhqNNX4AiuDeG8qO0HN+Asb4YEJD7RKDuc5VNg9dQlUftZ0sRHZKp1KEbuNjhvdOXHqQlZyOmhjJAhtwvynL9HhYB0BdlUbfxYZGGuwx1/9mY6goxtzYgKLUoIweiSroCmQvPhKnxLC3Hv6L52Ffn69sJMstz1ncGitB+1Kxe1O6VdYag9sF/7nsIIryFZn0j9d8/41BNUBHWH+/L/4JM4zjc01iTT+1Xf3SqaCoPiEcz8Ab0p7dbQnsFOXL/GDTJU5H7S1ODNZuM6PN/pvXUD5iaqhDkKuRBSaiTpyDzCkZfsJvW3G8xNlZiqsrF3FLn9JyKiAx8rnjSSqXQXRgqjtN8YDWtZ7Z39sjLlajixqIZMBdFQBympmpacr7GUHoIs6EFQe2DKnYUqrgxPdY3D5c2njpbHjxcQpjNJstL5tT3lvpEMgWK4N6o+1x1SapZ/RqwLJi+xlBxHEx6BI0/2kE3g8lAy7F1FmlpkwEUGlS9RqBOmX7R8rT0JQdo/X/2zjs+ijL/4++Z2Z3ZmgQI0kLvSO9N6YKgIjYUC+jZFe/09NS789Tz7B30Tu+nnsfZUE/lgogKgtKLKCC9BQhIDSnby8zvjyUhm+xmZzYJRef9euWP7Dzlu7NTnu/zfJ/Pd8c8VO9REEWkzGYo7cdi73wpJfvXoHfwbOt0cbUdLQBECUQLQmmIzfH/UxHatchwV2rJfqJHt2PJbouU1Qx792vx//if1BUFEdfwvyA362+ov7LBYN4itGARSDKW7Paxe9FedQ63yLE8glvnohbvA2LiK0rb0bpSBGjREKFd3xLeuxIt7I1dd80H4ej9GyJHt6KFAwiyEzmnT9wqrKV+B8TMpoS2fUX4wHqiJQcIrP8Qa7MBlQZ5wU3/w9Det7APqW6rhI6WpkYJ71lGaPditGAxgsWGpX5HlHZjUg7yjRItyo8590V7QVURndnIbUbhHPg7vEtfqtrhEiSc5/wepfWIuPsovH8NqvcISvvzkTKapLRBDRQS3PolkcObIBpCUDJw9Ls1tsKsRRGVjLLzFNiUq9vRAtCCJQR3LsDW7vzKxyIBgju+Ibx/DVrIhyA7sDYbgK3zZQS3fUU4fyVa2IdgsWFt3CP2nGrUrXI7mkZk/xqCOxfEVttEC1LdVriGPURgw38J71lWWd7eoqC0GoGjz40IshPFYLh1IiIH1xPauxwt5EGw2pHqNEdpN6ZsZUxu2he5aV/8a9/HX3GiIVmbP/9IYP2H2LtfXW37IHauwvtWE9q5EC1wDEQrUr02ZHS5gmjxPrSIH8HqwNqoe9y1LtqzsHe9slp9V+cZYvLLw1zZqiFKvd4HH3yQKVOmnGpzzJWtU0Boz3J8K19LnEdFkJBbDsE5cGqtyUL/2tDCfrzLphPa9W3CfUOiqyGOvrcgNx+IpkZOOBSngPDBDfiWTiNamJfgqBDbLF6vDYG176VsS241vCwMLF2iRfvwLnkhaY4jS/2OOAffjZTVPOHxkvl/JbxnieF+Xec9jlxOZMH/43v4f5hBUsfBouA65w/ILQYb6ie461v8q944vkpTAdGK3Ho4zv63V1qBiJYcwLv4eSIH1iVsV8puh3PQ3UlXewIbPsG/9oOYc1fpu9ixdboIe88plQQcNDWK//t/EdicC5FApaqCLRN792uwdbwILRLk2PsTIWJMyU9uNRzXkPvjPgvu+Ab/6jdRfQkSEUlWlNajcPS7DSHNfYWlqN7DeBa/SCTJhIJUtzVKu/MJ7VlCZP+PFcoIWJv0xNb1KhCl2H2UUHUxdh85B/0u4cSWFgniW/EPgtvngVo5+bnoyMbe50aUVsPKPiuadRvRAmPZoqXsdmReOD3uM//a9wn89HFC1VFBdmI7+zJs3a5KeU+H8lfhW/GPsgF8fEMicvPB2LpfSzh/OarnUGzlKjMHufXwtFb+EhH+eS3eZa+gFu1JaIO1af/Yb2DLRFOjFH10XeLrKwmCI5usy2dUezIptHdF7FwlfR+fg3PAXTW+Sl7dZ4jJ6Ym5slVDbN68mddff51Vq1ZRWFhIdnY2AwcO5LbbbqNp0xPKRd999x1r165l6tSpp9Bak9ON4I75eBc9l3xmVovGQiqK9pAx5pkzKgzqdEQL+yme+weiR5Jn2VQ9B/AseAznoHtQ2o46idbFE96/hpJ5D0M0lKSERjh/JdHC3Tj63UZgwyeonoOVSgmKG1uni7F1u7p6jlbhborn3FulmmHk8CaKP78H9/nPJMyzle7gu6Koh737JOTWwwhu/pzg9q9iq8HE5LGV9uNQ2o5GtGUY6iOw+XN8y6aT1IFTw4S2fYlatBf36CfLHK5o0T6K59xTpSx99MhWSub8HvfopyrtmfOteoPATx8lNyziJ7BuJmrxzziHPljmcGlqFM+CvxHeszRpVS1QhG/5q6j+YyhtzzPsaAFEi+NFCAIbZ8X2fCWtECa4dQ7R4nzcox5P+zePeg5R8vndVQ64owU78K3+P9yjHkfsf2ds9Sfsj4UJNumFlNGE8P4fY+GGKe6j4s/vJmPsC4jOE4p/WiREyVd/rDKBsuo7gvfbp9CCJdiOC69EqwhFTvpdKog9eJe8THBrcrl0LeTF/8O/Ub0HcQ66O2m50K7v8Hz7VPKkzJpKKO87ooV7cI99DlFxG7Y9FaG9K/B881hCZ7XUhvCepRQX7iZj7AtEDm825GgBaL4jhPeuQG6e/upbcOcCvN89k+J9vDB2rs5/rsYc0WhRPsVzfq/vGTLmaXOV61eEKZABzJkzh0svvZTVq1dzxRVX8PDDDzNu3DjmzZvH+PHjWb16dVnZRYsW8corr5xCa01ON6KFu/EufkHXnoPo0e14l007CVb9svEue6VKR6sMTcW75EUiBfrzD9UkaqAwNjhJOkAsV9ZzkFDed2Re9jauEY+itBuDtflg5NYjcQ6+h6wr3sXe/ZpqOVqaGqVk3sO6ZOO1kAfPvIfRopUHVmkNEiQZqU5ztJCXwMZZFM3+HYUfTY7tr/McxDX0j9S5Lpc6k+eQddnb2LtcbtjRihzZhm/5K+gJsYsc2ohvxWtALPy3ZP4juvJ/aWFfrGy5zfyhvEVVO1rlCOV9R+Cn/5b9H1g3s0pHqzyBte+lnwi4XBBL+NBGfCtf01UtcmAdvtX/l16fgGfBY/oG3JEgnvmPINiysHW8CHvXidg6XoSU0QQ1UIxnwV9130eeBX+L+8y36p9VOlpxZVf8g8jhzccbSyNhsHrCGQpunVulo1We4Na5BJLksIoW78ez6Jnkjlb5soV5sfdRDaN6j+BZ+ERyR6t82eJ9eL57Oi1nFSpPDBiqW7QX76Ln9b2PC3biW/Ji2n2Vx/AzZN7DtSYIYnL68at3tvLy8njwwQdp2bIlubm53HXXXVx++eXcd999fPLJJzgcDn77299SWFgzSTiri8/nO9UmmFQgsOl/KeWvyxPatQjVa2y2z+QEqq8glkBXL1r0+B6Xk09w65doYf33bOTgBqJHtyM3649z0N24hz+E69z7UNqOrpEEpuE9yxKH1SRB9R4mlFd5f5bc5jwwaI/ccgihnd9ybOYkfCv+TvTwJlTPAdSifEJ531Ey936KZ/824aqeXgIbP9WtkAixFWk1UEw4f3XisKgkaP4CQjsXnui3nPOkq99Ns9DUKJoaIbDZ2LUZ3PGNbtny8pRXjwtuMHietn1lwtO2gAAAIABJREFUOI8XxPYo6poUOY4W8hDa/nWC/r80tHcqcnhTmcOkBj0EjSQx1tTYdQRxq2N6Kb8PL7DhE0N1Axs+Tfh5cHMuJJj0SEZ47/Ljojc1R2DrnIQhrsmI7F+D6juaXmcGrs2KBDbl6nIISwntXkLUoz9tQjLC+auqFGWqSMVniMkvm1+9s/XWW28RCAR49NFHycqK3zSdk5PDfffdx5EjR5g5cyYPPPAAM2bMAKB9+/ZlfxV5//33GTlyJJ07d+bSSy9l3brKsbvbtm3jzjvvpG/fvnTt2pUrrriCJUvi90BMnz6d9u3bs3PnTn73u9/Rq1cvbrnllhr89ibVRQv7Y4MfQ5WiZTLYJsYJbp1ryLkFCO78xtBgrSbQNI3gls8N1wtsnl0L1hxve4vxtoMJ6oiKC6XNefobESQE2RVbdapiwBYt2EnxnN8TLTlg2E41WJzQMaySaIjgti8TfsdUlJ7LSMGOmNiCAVTv4Zh4x+4lVUqKJyJ6aAPWxj0M1YGYZDeA6j8WU2MzQiRAaPs8w31W57yWUt37KLT9a2Py+EAobwlqoBC5jfHwY6VNLK1B+MB6ooW7DdVVi/YQ/jleTEKLhAgmcECrRFMJbk58zrSwD01NvUIW31yU4Bbj76zosTzDdQDd6TsqokUChHYYvE41lWCSFUUjBNN4bqfzPDY5M/nV79lasGABOTk59OqVOLni+eefz0MPPcTChQv5wx/+wOHDh1m8eDHPPPNMwvKzZs3C5/MxceJEBEHgjTfeYOrUqcybNw+rNTYbuWXLFiZNmkTjxo25+eabURSF3NxcbrrpJt58800GDBgQ1+bUqVNp3bo19957LxbLr/4nO62IFuWDgZWLsnpHt9WCNb8OIkf1z5SfqBQgWrQ3paR5TaIFi9JapTGyEmC8bePXXSRJHUffm4kW7qksaV4RQcTW7SoCP76rqz/NX4B30TNkjDUWChU9tltXmFmleke3J/2OqeppmpbWOQWIHN1maLWiPFK9tlVKhldEdDXA2rQvEHNojU5WQEw223gd4+dGLcov268FoIVKDK3GllJ6H0XSedaqYaIFedjajyWw9n1d4XsAiFaU40qE6Zyv0nrlVQhVzwFdsumV2in3vcOHNhLcPDs2GXH8HpHqtkHpeAFKq2EppepV39GUsvIJ64W9CLIroTBIMgTZidxskOG+IBZumc6kWk28j9O5zkqfIadzvkCTmuFXPXIvKSnh0KFDjBgxImkZWZZp0aIFO3fupEePHrRq1YrFixczfvz4hOUPHDjAV199hdsd25zasmVLbr/9dhYvXsywYTGVoyeeeILmzZszc+bMMgfsqquuYsKECbz44ouVnK2zzz47qXNncmrR0hjcVaeeCWkNqIGEe49qEy2Spp0GQmAMt53OuaswMNciIdTjAy/X8L/gX/N2LEwrweqB6G6Mo89NhPeuwIhUeeTgBiJHd2CpV1mcIynVuRfTqaupseSs6V5X0VDadSXXWSgdL9IXHitacQ6+54QgR7r2pnNdptmXFg2VOVvptxEuaytdG0RHPey9f4N/1T911XH0uelEWoF0n/EVznPa74poGC0SwrvoWUJ531U+XLAd35KX8K+ZgXvkX5MmMC9tKx0ENYK1zSiCGxOHRyZCbj0y/fyHp/J9nM45Ov4Mwczd9YvnV+1seb2xGRCns2olGqfTicejb2Zm3LhxZY4WQO/eMZnjvXtjsbyFhYWsWLGCe+65h5KS+NmqwYMH8/bbb+P3+7HbT2S2v/LK6uV7MKk9UuXrSVrPll49ExDSPHc1nTModX8ZIIiG9x/Upp2iLSuxHHoVCEpMpCJSsIPgplyCOxecCAW0KCgth+Ee9TeiBduJHN6CFg0iKplYW56DtXEviPjxfPeUYVuDWz7HMvAu/XamfV1kIdiyDM2+AwhWB4JkTfsZINiyENIdxNqycPS7DQSp6oGs1YFr2J+wNupe9lH69hq/LgV7Fhi83hCtCLLrRBuyGwRJ/+pSaTPH7U33WVt6nuydLwVNxb/6TZJOGAgijj43Y+t0YhJWqMZ1EWdHuu8KJRPPwscJ711eZTHNX0DJl/fjHvsCljotktiUAQgYyu1G7LvYu08ivG8ValFq0QsxIwd792sM9VGxv3SoifdxWs8Q2WkmSf6V8Kt2tkqdrFKnKxlerzelQ1ZK48aN4/7PzIw98IuLY+pfe/bsQdM0nn/+eZ5//vmEbRQWFsY5W2aerNMXKaMJUr22hsMQ5JZDasmiXz5yyyGEdsw3VEeq2wopq1ktWZQYwWLD2rRfLMmoAeQWtXdtyC2H6FbNK1/H/+O7x/NhVSASJLhtLsFtc7F1m4Rr6IOVi3gOQRqqW0aVzCz1WiNmNjW0SR1i30+wZ+nKcVaxHoC1SW8Eq8OQEAqCiNziHFAjVecZS1RVcWNt3BNBEHH2uxWl3ZhYiNiO+WU2iBk52DqMQ24zqpIEuJTdDtHdyHBoXjrPLLnFufgNhtPJzQfF5VgSLDLWZv0J7zaW163UXrnlkJjAhAFEd2OkeidWeuxdLkduPpDg5tkEt31VNqgWlAyUtqNROoxDcjeK77/ZQHzLXzW24iFaK0mei85sLGedTeTQBkPfQXJmE9QpvqKFvPiWTUsauisqbiyNexLZb0wJU2k5BFHJIGPMM5R8/RDRgh3J7a3TEke/2/H/+A6hvO9iaSAkK5Z67VA6XIDcYnDKXImSuyFSdnuiR7YYsrMm3sdyy3ONP0Nq8Vlvcnrxq3a23G439evXZ8uW5DdmKBQiLy+Ps88+W1ebophYc6Q0d7R6XEr2pptuYuDAxHkk6tatG/e/zZbmkrrJScHW4QK8BuRjY/sn+tWiRb9srDl9EF0NUT36RRSUDhfWokXJsXW40JizZbGXbbCvDZQOFxDY8F9Dq22CKCV2tCoQWPsegmjF3n1S/IF0lcUMrmQA2NqP0y1pDiBmNsXauDtSZg6BdTMN9al0jF1TgtWO3GakIcVLa04fJHdDACyNuxPZ/4P+ftucF5fzylKnBZYBd2LveiXR4p/BImPJapo0ebogiCjtxx5fqdGHVKcl1gaddZcvs7Xt6Ni1YyBMq/S8lsfW4SJjzpbFhnxcEMTasAtSVoskCcWT2NBhHFqwmMDWuccH/sUgyVjqt8c54hEsdZoDQmxlQkj8zhdtmcgtzjU0MSS3OCfhKovS4QJDzpZgr2t4D1Hk4AYiBbuw1G2Z8Lit44V4DDhbguxCPp4gWnTUI+PC6YT3LCWwKTdun6elYTeUDuOI/LyWkrn3VTAqSOTgeiIH1+P/vgGukX9NuvpWZmeHC/Eu1u9sCY5srM0GpC6YAlv7sQTWfWDoead0vKDa/ZqcGfyqnS2AoUOH8tFHH7FmzRp69uxZ6fjcuXMJBoMMHToUoNobGUsTJCuKktTZMjmzkFsPJ7D1C6KluVmqRMDR56akL2iT1AiCiKPvLXgWPKbrxSZlt0NpnXxfZm1iadwTa9P+KUN5SnH0nFyrCa8ld0NsnSbEHC4dyK1HEdg4S3f7/h//g9xmJJLrhMy46KibXjilw7gimdLufILbv4qJQKTi+HUEsdUDW5crCKx7X1c/ctvRccme7V0mxpQF9UhdWx3Ye04p+9fR6zcUH7pXl6y26DwLW5fLy/7X1Cih3YsJbp5N5EA51VuLDaXVUJSOFyVMSm1rP47Q9nn61PJES9l5Mopoy8De/Rr837+lq7zc4lws2e0Ibp9H5Oh2UCMItkyUlkOwNhtEeI8+h8vRc3JcolpH35sp+fohXc60lNUCLeSl8MOrK61KhYrzCe2Yj6V+R1zDH0IQqk4cbO9+DeH81WjBopT9CkoG9h6JQ+jklucS3DKHyMH1KdsBsJ19Kf40cqMFt3+FJclvbW3aD2uTXrrzvNl7/yYuXYUgSsgtzkFucQ5aNIwW8SNY7AiSFc+i5xJK/pdH9Ryk5Iv7yBj3IlJm8mgfudVQglvnEDm0UYeVAo6+N8etpKaL6Kx//Bnyga7yStsxCe9Nk18mv/oR3w033ICiKDz88MMUFcU/EPfv38+zzz5LdnY2EydOBCgL7ysNCzRKvXr16NOnD++//z4FBZXVfRJ9ZnJ6I0gy7pGPIdXvmKogzsF3x8KHTKqF3HwgzsH3QKqwkux2uEc9ViM5qtJBEARcQx/EmtM3ZVl7z8nYzp5Q6zbZ+9yI0iH1jKrcdjSiq76xFaYEMsqiLQtrTh+jZiK3NS67LVhtuEc9jpRqECNacZ57P3I5u+w9J6N0Sn3+5VbDcQ78bXxzzmwyRj+ZUrJakF0xMYK6rco+s2S3xT3i0aQrUWV9uBriHv0kor0OEJO59sx7GO/CJ+IdLYBIgODWuRT/785YHsBKdjhxn/cEUlaLKvtEknENeTAtqflS7F0nYus2KWU5S9OBiBmNKJx5Nd5FzxLc+CnBzbkEfnyHok9vQg2VYNGxumbvcR22sy+J+8zapFcsxDXF/hipTkssDTvHwsGqCP+LHN5E8ef3oKaQ7ZcyGuM+73GE479ZMgRbFu7zHkfKaJL4uGjBNeKR1N9fEHEMuNOYsEw5qlJPFQQR17CHsDSuPCldoST23jdiaz82eQnJiqhkIEhWQnuWpXS0StGCxXiXvFR175IV18hHsZzVKYWZIo6Bd2Ft2I3wzz8Syl8Vc/Crgb3nFH3PkNYjcBjYj2py5iM98sgjj5xqI04lderUoWnTpnz00Ud89tlneDwe9u7dyxdffMFf/vIX/H4/r776Kq1bxx5eHo+HOXPmcOjQIfx+P9u3b6ddu3YUFxczY8YMzjnnHLp37x7XxyuvvELfvn3p1y8WOta5c2c++ugjZs6cSXFxMfn5+SxcuJDXXnuN3NxcLr30UgBWrlzJypUry+ThjVBqz+TJk8nIyKiBM2VSFYJFQWk1HNHdANV7JF4m12JDaTMK5+B7kHN6nzojf2FY6rbG2nwQaGpMgr+cap5UtzX2Htfh7Htb3Az3qUAQLcgthyBlNUMLFMYLVIhW5Jbn4hhw10lbfRMEAblpP6SzOqKFfKgl+ynbMySIWHP64Oh7C/Yul+Nd8pLhTd+q52Clwa4guwjt1J+PTnQ3xtHvtrQiCQSrHaXNCERnNqrnEFqgXEJ6qwOl3Rhcg++Jk9eG4+clpzeWBp3Rwj7U4n2c2EslYGncC0efm7F3uyrhyrRoy4opqSlu1JJ4CWrBloWt03gcvW+CiI9o4W60kAfBUQ9BEJDcDZFbDUeQrLFruZyyo+huhK3rlTgH3oV03JnTNBXPN38lvG9VirOhEc5fhehuWGkWXZAdKG1GIdrronoPxvbIlB1zIrcZHdvLEvYSObIFLexDdDVM6zexNuqOpVH3WAqG4n1xq5yWht2w97qBaMF2QklULQE0z0HUQBG2rrGJz0r3UYtzcQy8C6VN4vtIympeNtGlFu2NU/2Tsppj734NcvNBupUHtZCHaPE+lFZDqywnOuqhtB6BYLUTLd4flypEcGRjP/tSbF0mEt69hMDWOYTzviNSsAPR3TBuv51gkZFbDUdyN4pJsZdfRZUU5DYjcQ66G7nZANSSg8bzTRELSZVbnpv0uCBZkVsNQ8rMQfMfQ/UeLmdD7Jhz0G9RDOyB8i7/u8FE64ewtjinSqEXwaIgtx6O5GqE6qv4PlZQ2oxC6TSeyP41eJe+RGjbV4R2fkNwyxyCu74FNYpUpyWCZCz4S9czpO8t2LteaUa3nGFUd0wtaKWbiX7lbNq0iddff51Vq1ZRVFRE3bp1GTRoELfffntZ6B/E9lw9+eSTzJ49m2PHjqFpGlu2bCE/P58RI0bw4IMPMmXKlLi227dvz5133snUqVPLPtu9ezfTp09n6dKlFBcXk52dzdlnn83ll19eFrI4ffp0XnnlFVatWmX4xy21Z/78+abAxikgWpSP6j+GIMlImTm1GhpmEtvgHS3Kj8k127OQMpumrnSKiJYcQPUdRRAlRHfjmGrhKUT1HSXqOQiahuRuiOioV3asYMZFhhPCIkjUnRK/uqVpGt7vntHncAkSziEPoCQY9EVLDsSSAIsWpIzGuu6raOEe1EARgkVBymx6QlI8BaqvgKjnQOy8uM4ylGhV01Six/LQQl4Eiw0tEiS4JZdQ3pK4Qb7gPAtbx4uwtR9b9l20aIjosd1okQCC7EKq06KSgxPasxzP/Id12yMoGWRd8S5oEaJF+9DUMKK9TpyoQ7RwN2qgGNRIbLVhx/xKjrboboSt40UoHcenHXqlBgpRi39G01REZzaSqwHe5X8nuElfuKogO8kY/xpoarn7qJEhFU8tHCBatActEkS0ZSBlNQegZN7DukN+Y8aIZF72NpKrgb5+1Wjsugj7YiuZkhXfsleS5qqzNO6Fc9Dv4sJyS4kW7UP1F8RWiTJyEJUTCo5RzyGKProOo+qBtq5X4eg1RXf5aMnPqL6joEZjcv2iBUFxI9VtrcspT9dOpdMEnP1u1W9n2fvYipjZlNC2r/CtfL3KfqW6bXCf93ja6p1QvWeIyelFdcfUprP1C8V0tkxMTKpLwTsTjCftlmTqXldZ/U1TI3gXv6hzxl3A2qQnSoeLsDTpRXjXtwQ2zyZ6eNOJImX7ksbHheWdbgQ2/Q/fin9UuWdNdNTHPe6FhIPqRJR89SfC+1YbssPSsGss0W65vWFS/Q7YOlyA3GoYgmhB9R6h+Mv7U8p0W5v2j+1ZShHGqwc1UHx8f5R+EQ1b1ytx9Lq+2n3H2eE7SuGH1xjeW2jrNglHz8mG+4scy6Pki/vQgim2JFhsuIY/jNwkVfhePIavEUEk89J/lQm36CFatJfAxlkEd8yPe06I7kYo7cehtB9bZWRB+MB6Sr64V7+Nx7E2G4B7xCOG6wEEt3+Nd9FzuspK9dqSMfb5UxaGbnL6UN0xtbmOaWJiYmKSEMvxGX8jSMly9YgWXOfeh3vsC8ithqfYP6MR3vc9nvkPU/ThNXgXPRvvaEG5fUl3EKiwT+x0IbhzYUz+O8UAXvUdpuizW2IrSylQgyW6RQrKEzmwrpIIR/TwZryLnqNk7gNE/YWUfP1nXfmQwnuX41v2qmEbEhHc9qXhZLTBbV/WeJLyaFF+WsqZRlMUQGz10vP1Q6kdLYBIAM9XDxLcoT8MF0DpOD51oXJYGvcw5GiFdi+haNbtMVn9ChMyasnP+Fe/QXHuVKIl+lVjaxtNjeBbrU+sBSB6dBtBA+HPJibJMJ0tExMTE5OEKO3HGa5jS1HH2uBsXEPux9ZFX7L2uD1XCQuo+JZOI7hzoU4LTw6aGjUkr07YR8lXlfOUVWo3UITRsKtURA6up+SL+4ge26W7TnDbXKIegwmLk/RtFM1/LC0np+pG00xRoBpPURDKW2Q4ubh30bOE9q7UXV5u2leHmEU5wn40nd8l/PNaPAufSOkkq8X7KPnyQdQkTqXoakAsWbIxxAo5zfQSylscv39LB8HNs9Pqy8SkPKazZWJiYmKSkFjC36qV1MojKJlluXWqQvUf0y2RrA8N38rX0cqJpJxqwntXGB5QR49uJ3wghfORQlEvXdSiPcYqaCrBLZ9Xu18tjYTXsXqppfKNkO5+mnTqpTWA19TYNa5z54emRgw5z5FDGwnlLdJV1rfq/+IEiapCLdmfNAed5DoLq8HwSABbuzGG6wCEdi82XCd6dDtRgwnATUwqYjpbJiYmJiYJESwyrmEPgZ49C5Ic28ejo2xw6xdxQhE1geYvIGQk8W0tk87ADsC/bmaVx0VHPYQEiW9PBeF8Y/vGEqGlkbwaQLDWrOiQlJmTOn1HApQ2xlMURA7rT7pbHrU4n8j+NbrKxlZxqpamr4geJzByeDNRgwmTA1u+SLpqpnS4yFBbloZdywRNjFJecfNk1DMxKcV0tkxMTExMkmJtcDYZY56pMnQnlgPqKawNu+hqM7Tz25oy76S0mw6ajv1XiYjsX1PlCp0gWlDajU7XrBpFC3tTF0qBIKS5UhfxV7vvitg6XmiovFS/A5bstobqaGrUWO66CgR36bvGQzrLlSdycH1MXbCG29V8R4gc2pDwmNysP0pbfStVgpKJc9Ddhvsvqy/J6VWUTIEMk+pRfSkhExMTE5NfNJb6Hci89F+E960muHUuaskBQEN0N0RpOwZrTm9DeWPUYO3MFKfc33UySXdgp0VjObiqWL1S2l9AYMOnhoUlahq9MvpVtlFOstwIqr/mf2u55VBCOxcSztexN8pixzlgaupyFRBECUF2xuVhM4Le1ap07wU1UBiX/qHy8fQmEapaHXIM+i1YbMfl/xOHSYruxrhHPoqU0Tit/iHmHBtV8RQUd9Jk0yYmejGdLRMTExOTlMQSdvZBzulT/bZESw1LPBynlvYzpYPlrI6E8haCvyA2QC5drbLYERx1QclKmotIEKv+HpLrLFzn3h8TKajGKkl1sRoRYEhCOrLaWthPYNXrlMy6Cc1fiGC1Y8npi73HZKytR6SdMFYQJVzD/ozn26cI71mavJySiWvkI1jqtdHdthooIrh+JoF17xE9uj0mrCEpCPa6YK+jX0ZfrxOf4hpKRqprL/3VoeTtCoKIs/9t2DpdRHDz54R2fYsaLIrlqcxuh639BVibDUia202LBAhtm3tcNEVAymqB3Pa8Srba2o8lsPZ9Q/eM0mYUgiXN70wsx2B4z9LjeyIFpDotsTbtl7hsNERw82wCP8wgemg9WjSM6KyP0mkCtu7XIWU1S9sOk1OL6WyZmJiYmJxUpHptUL2Hq9WGpmkQ8pxIuizJSHVa1oB1NYNasg/t8CYqzdSHPWhFHhB/hqwWseS25RDd+pI1yy0G4xr1V3zLXkE9JRv4BZQOF1S7FUu9NoS2f62rrBoJQkk+hDyECraWfa4Fw4R3zCO8Yx5S/Y5kXPYfpMz08ksKFgX3iIcJ/7yW4OZcQnuWlTnKUlYzlPYXoLQZaShRfXDTZ5TMuRvCFUIfowE0z37wHICMHF1iNHodPEu9NkmTJSdDUNyIrqrl36X67WCrwVQLgoSlbmq7pYwmOPrejKPvzbqaVYMe/EtfJLDu/Uoqg4KzPrZu1+AYcFfZCqzoqIfcaiihHfP12S0pKB2MhZaWokVD+Fe/SeDHGagVhEqkem2x9ZiMreeUMic7cmAdxf+dglqyP/47Fu/Dv/wV/Cv+jr3fHTiG/FFXwmiIhayGtn9NcNNnaN7DYJGxNOiKrfs1SJlN0/peJulhOlsmJiYmJicVpcMFhPcsS6uupmngO4LmP1IpjC6w4hUIFuHof6ehwXBN41s2Df93T1VdSA2jHdsBdVrHOVxKB/1y+3KT3liPh3eGdsxH9RWAaMFSpznWnL6UfPVHQ5LmguxCC3n09d1qGFKaEtxx7bQZhe/7tyCJKqGmaRAsRvMdBh17xKKHN1H07sVkXTcHUWeS6ERYG3XD2qgbmhpBC3kRJAXBajPcTnDTZ5TMuo2q5fpVtOKYGmSVDpdoRdGpxKd0GEdgwycp+q1QR8cqjtJqGP5V/2coDNLarD+iM1t3eT2o/gKK3r+C6KGfEh7XvIfxL32RcN53ZEz8AFFxA+AccBfR4v2V8/ZVRLTgGvJAWmGLWshL8cfXJl0djR7dhnfenwnt/IaMS94iWrCLovcvRQuWVNGoin/5dLRIENfIv6a0IbhlDt75D6EW74v7PLxzAf7l05HbjcV1/vOItkxD380kPUyBDBMTExOTk4q1ca+0FMU0TUUr3BVbDUiwX0nzHcG/9EUK370Y1WA+nZoicmgjvm+f1FdYU9HKSa4LshOl7XmG+isN73QNeYCM858hY/QTOPregrVxD6xNB+hvSLTiHPonRGdqB8XSqDvOQb8zZGfSbmUnStvEgh+apqEV70ErytPlaJWiFufjmf9QjdgniBZEW2ZajpYaKKJkzj3odXi04r1ViqPIrYYi6kzFIGU0SRqulriCVdcqjmCxGcy/J2DrNMFAeX0U//eGpI5WeSL7v6dk1omVMsFqI2PMUyjtzk8akinVaYl71OPIzQfGfa56DxM9lofqO1K1bbNurTIMtZTwzm/wzLmbks/vqtrRKkdg9T9TTlQF1s+k5LMbKzlaZWgqoS2zKXr3YlRTafGkYDpbJiYmJiYnFUEQcI142FAOLwCtOB9CqQcl0YPrKf7vFN05iWqSwJq3MZR0OBqMDbQkGdewvyAqGTVmi3Pw3fqcWkHEOfge5CY9ybjgpZg6XIK9VIK9Lrbu1+Ae9be09lolw9H7JiwNOlf6XCvOhzSFHkJb5qDWQNLl6hBcPxPCPgM1NEgySSBlt8PZ/w5D/TvP+T1ipo59PoKIc/C9uldx7D0nY22ib++mo+/NulVK9RLKW0Qkf7nu8uGdCwiXk8wXLDacg35H1hXvYu99I3KrYVibD0bpcAHusc+TefFrWBt3B2KrVP4f/s2xN4dRML0Lx17vT8G0zhS+PToWvlgh31s4fxXhHfrCYgGCGz8lajCxt3/Nv5IeixzZgueLe3WtaEcPb8Iz915DfZukhxlGaGJiYmJy0pEympAx7iW8i58ncmBd4jJ1WyG3OY/gplmxBK0B/XmDIvkrCe9agNxqeE2ZnBItEiC48b/GK0aDuMc8jfWsTjVqj6i4cY99Hu/SlwnvXpJwACa6GuLodxtys/6x/x31cA6+G3ufmwjtXoTqPYIgSEhZTY+LFNT8sEGwyLjPewLf8r8T3DE/FmIZ9kGgGquTapjATzNx9DeuGFhTBNa9Z7iO5i9AKL+6KEjIrYbiHDDVsPqjqGSQMe55vEteiq2GJPr93Y1iv7+BVTBBtOAa+Qi+VW8Q3DonYQio6KyPvdcNKK1r/v6LTWgYr1NR0EW0ZWDvcnnSOpGj2yj+cBJq0d7Kxw6sxTPnbvwr/k7GFe+V7YEK/GDcNqOEtn6B6j+WcJUz8P1bhnIYhrbMIVqUn/YeRxN9mM6WiYmJickpQXKTehPmAAAgAElEQVQ3JOP8Z4kcyyO45QvU4nw0TUVynYXc5jysDc4GwNbpYkpm3ULoqLFksIE1b59UZ0v1HExL0lty1qtxR6sUUXHjHvZnop5DBLfMIVqwAy0aQrTXjc3oJ5HtFxUXtnbn14pNiRAsSszJ6zWF4Na5+Fe9Vm3FSrVwT+pCtUi0cLfxSmoES6PuCJKMJbs9Svvzq5RiT4WoZOAe/heinoPHf/+dsd/fUS/2+zfprVtwoTyCaMHZ71bsPa4ltO0rIoc2okWDCLIbufmgWAijFiWw4ROC694nejxcVspqga3bJOR2YxHSVA8N7VqQRp2FhspHi/dR/P7lqJ4DVZc7uo2i9y8n67rZiI5sQtu+NGybYdQwavH+Ss6WFvIS3GBwskeLEvjxPziHPFiDBppUxHS2TExMTExOKZY6LbD0vy3pcUEQiBgMtQEI7ZiPpmlpDSZPJicj2lFynYWj15Ta76iaiPY62LtdhW/+n6vd1qkII602okTGmKdrvFnJ1QBHr+trvF1RdmI7ewKcHb8vK7RzASWzp6JV2N+kFu4mnPctoqsBrgv/jtx8kKH+NE01GJp5vJ6O8OPy+L57KqWjVYpamIdv6TScIx7RLTBTG0SP7Uqr/3SerSbGMPdsmZiYmJic9mjBNJKpatG0BmbpIjrrg8W4kMLpKsOseg/jWzaNY28M4ehLHTk6vStFM68kuGUOmlp7+b20sD/tpL/lkeoYF2GpSdIRgUmnzulGaMd8ij++tpKjVR7Vc5DiD68ilLfYUNuCIEKFdAm66slu3WVVfwHBzbmG2g+unwmRQFr3v2FEK2KC/XVauknOT3Fy9F8DprNlYmJiYnLaI1jTkXIXwOA+l+ogWB0oHS4yXM/W9cpasKZ6+Fa8SsHfe+H79gmiR7agBY6heQ8R3rWQkk9v4NjrA4gc2lg7nUsyUM3VSNGKrfMVNWJOuti6XGW4jtLVeJ3TCTVYQsn/bj2RxLsqoiFKZt2MVjH/WArklkMN2yW3HKK7bHBzbsxxMoAWLCK0/WuszQwogKaJ3G5Mwv1aoiM9eX0hzXom+jGdLRMTExOT0x5ri3OM12k+KOF+pNrE1nOKofJiZlOsrUfUjjFp4lvyAr4Fj1U5460W7aHo3QlEDm+u8f4FUUI66+xqtSG3Ox/R1aCGLEoPpeuVxpx9ix3bGe5sBX/6ULeMOcQEQYIbPzXUh9F7LFZHfwilWqIvfLBSPc9BbD2Mh2qKBpOx25N8FymrGZYKIiB6UGpBmt8kHtPZMjExMTE57bH3mGK4ji2NOtXF2rgn9n636yssKbgvmH7SHcKqiBxYi2/RM7rKasEiSnKNyZHrxd5zctp1xYwmuEY+VoPWpGmHLRP32BfRt0on4Dr/Od15tE5XAj++Y7zOWmN1rM3PwZLTV3/5lsMqKRFWRdqKm6IFuc1IQxMFliZ9yJjwJoKiL8zR1vsmrM0GJj/ew9h9I2bkILcZZaiOiXFOnye8iYmJiYlJEiwNuxhaAZLqd0BuN6YWLUqOY+hD2AfcRVWDbEHJJOPyd7E27X/yDNOB//vkOXwSET20gXD+yhq3Q+l0SVrhTVL9DmRe/dkpX9UqRel4Me6L/lH1CpfFjuvCV7CdfenJM6yWiB7dnkadbYbKC4JAxiX/0uXUWBr1wD3+dUPtS/U7GipfVi+7PYIgknHZfxB17L2T6rUl45K3sJzVicyrPkZ0N0peWBCx97sD54i/Vtmm0mkClhydzxRBxDnir6fVZM8vFfMMm5iYmJicEbgveg1Lo+4py4lZzcm47J1ayQmlB0EQcA75I3VuWYqtzy0nnAZBQqrfCed5T1Ln9u+RWww+JfYlQwt5CW6aZbhe4Mf/1Lgtguwk47IZCLJLT2ksTQeQcdkMsm745rQTHFE6XUzdO37AOfxRpOx2MREFSUGq1xbHsIepe8eaX4SjBehKplu5inGxFdFRj8yrZ2HvdzuCvW6l44IjG/uA35I56b+INmOJwuW25yG6GhqqI9VrW6asKGU0Juva2Sidr0gsmGG1o3S7msxrc2OiOoClYTfq3LoC14WvYsnpFxMBES2I7sbY+91BnVuW4Rz2UEplVUGSybjs36kdLtGKa+xLKO3HGvqeJulh6E0UDAaZMWMG8+bNY+/eWJK3pk2bMnLkSK699lpstpOgwmJiYnLaEi3cTWjHPLRgCYLVgbX5YCy1lD/I5NdB5NAmwrsXo4W9CIob19iXCa5/n8C6D9AChfGFrXaUjhNwDnmwbBBzqgjvW01k32pEex0c5/wBufVIRHejUypDr2ka4d1LYlLP0RCis35sb9Px0LVoyX6IGBMrAIgey6sZ+yJBQtvmxuVkyrjyI7xf3Z808bW12UBcY1/UpeIXLd5PaPtXaIFCBIsdS9O+WBv1qBHbUyFIMoIzG+Xsy0AQkeq2QW4z8qRNCMR++0VEDv4E0XDst28/FtGWZbityNFthHd9G3vOK27kVsOQ6rYGQHQ3RC3eZ6g9KaOJofKq9zChbXNRfUcRnWfhvvifaL4jRAv3ghC7buS2oxEkOXVbgWJCW+egeg+BaMFyViesLYZg6zEZ3yL9Evy2XjcA8c8rS6Nu2HrfSCR/JdHjiZGlOi1QOl2CaMus1IYgyVgb90ILFCK3GoZgdWJtMRiLjpW28ucEScEx6B5UzwECP7xNZP+aE33ILpTOl2HreT2W7Pa6v1+6aNEwoe1fEz22AzSQMnOQ244xnKD7TEf3XV5QUMDkyZPZtm0bLpeLpk1jM0c7duxg7dq1zJo1ixkzZlC3buUZhl87DzzwAPPmzWP16tWn2hQTk1ohvO97fEueJ7xrYaWZTUuTPjgGTEVuc96pMc7kjCS0Yx6+ZdOIVApRE7C2Gor74jdQPQeIFuwANKSMJsgdLko4iDmZBH76GP/KfxA9tCHuc69oRW43Bseg32Op3+Gk2qRpGoEf3iaw+k2iBRXCvL7+I0qHC3EMvi/9hF9prGbEVQ958S15gcC699H8BXHHBEc2tm5X4xj+KKFNnxItygdBQKrTGlu3SbrOZeTgT/gWP09o+1exdADlsDTshr3/HWmpSOpB9R/Dt+QFgutnVkpfILoaYutxHfb+d+pyDNJB0zQC37+J//s3UY/tij/49Z9QOl6EY/B9SJk5KdsK5S3Cv/QlwnuWxH3uRcDafDD2gb9D6XwF/qUvGrJR0akaGTm6Dd/i5whtmQNqOO6YVL8T9r63YOsyUVdb0ZKf8S16luCmT6GCGqKY1QJbj8lYWw4jrCOBstzxYsSMphS+M55I/ooKR2PPK8fAe7Dm9EnaRjh/Jb4lL8beoRXSeVty+uMYeFfCBO3Rgh34Fj9HcMvnlQRtpOz22PvcgvWi11B9RxAkBalOCwQ5HWVXY2iRAL5l0wj8+A6a91DcMcGWhdJlIo5Bvze86nimImg6s/498MADzJo1i/vvv59JkyYhy7EHQygU4r333uPpp59m/PjxPPXUU7VqcCreeOMNnn32Wfr378+///3vU2pLKafC2crPz2fEiBHMnz+fnJzUD1ETk3QJbpkTk/qtMleHgHP4I9j73nLS7DI5c/GvfgPvvIeoOOiIQ5JxX/gqSocLT5pdqfB+8yj+lf+osoyguMm47D8nba+Wpql4Pv8twZ8+qtouRzYZl7xF0XuXVhrIpkLuOJ4Mg/tiSlH9xyj64AqiKRKrWhr1IGPiTMODs9CuhRR/cn2lAXVF7IN+j/Oc+wy1nYpoyQGK37+ssoNbAWuzQWRc/k6Nz/Zrmoon906CGz+pspzgPIvMKz+s0nENrH0Pz9z7Kjmr8Q1JOIb/JaZkqUf6HUBSqHvHGkRHvSqLhfNXUfzR1Snz7dl634xrZNX7miJHt1P8weWoJT9XWc7abiyikknwpw8Tf29JxtZjCmJmU3zz/0Lq59UrCZ364KZZlOTemeK+E3CO+hv2Xr8p+yS8fw3FH06qvMJfAVvPKbjOO3ljcy3kpejDqxJMlMUjZbeP7VU7xVEIeqjumFr3nq0FCxZw2WWXMWXKlDJHC0CWZaZMmcIll1zCggWpZwBqm9zcXJo0acLKlSs5dOhQ6gomJiZpEzmwlpL/3aYjKaKG95tHCG6Zc1LsMjlzCW77MrWjBbEcPbl3EP75h5NiVyr837+Z0tEC0IIlFH88mWjhnpNgFbHZ+xSOFoDmO0LJZzcjpyFDXx258uJPrk/paAFEfv6Bklk3G2o7cnQbJZ/+JqWjBeBf8jyBdR8Yar8qNDVC8UfXpHS0AMJ7llAy53c11ncpvm+fSOloAWjeQxR/dDVqoCjh8VDeotSOFoAWxbfgMWzdrtZto3PEoykdrWjxPoo/vk5XYvPA6n/iX/XPpMfVoIfiDyeldLQAwlvnIChu6ty2CvvAu7E07oVUv0MsWuPcB6h7+/dYmw9O7WjB8efVnYTLhfRBzGEqmT1VxwSHhvfrP8dWZznuyH90TUpHCyCw5m18y19JWa6mKMm9I6WjBRA9siX2u1ZzZfxMQLezFQqF6NQp+d6Lzp07Ewqd2izU27dvZ/PmzfzlL3/BbrczZ445sDMxqU18y6ZDNKiztIbPYHiJya8P/5LnSTlwKSUawr9seq3aowctGsa/bJr+8sEi/N+/WYsWxVCDJfhX6V9xUj0HEAzOMot1WmFtoT9hbHlCeYuJ7F2uu3x410LC+77XXd6/8jW0kFd3ed/SF9EZ7JOS0LYviR76SX/5TbOIGFTlqwo1UIh/tf5rTC3eR3Dd+wmP+Ze+mNrRKmsoQvRYHo5hD1Gl5L0g4hz5N+w6cmYFVr+BFjimr3/At3w6WpIJwOBPH6IW6Z/oCPzwNoJFxnnu/WRd9zl1frOQrGtzcQz8HaKzfrWfV/6lL+uYrCxFw7fkxTK7KobcVoV/+atoBhM1p0Pk4E+Ets3VX/7nHwjv/KYWLTo90O1sdenShY0bk2eL37BhA127dq0Ro9IlNzeX7OxszjnnHEaMGMH//ve/uOMrVqygffv2zJ07l+eee46BAwfSo0cPpk6dyuHDh+PKrl69mrvuuouhQ4fSuXNnhgwZwhNPPEEgUPli3b59O3fddRf9+vWja9eujB07ltdee61SuZ9//plbb72VHj160L9/f55++mmi0fgHmKqqvPnmm5x//vl07tyZwYMH89hjj+H16n9hmJicDFTPQUMPVYDowfWE95l7F00SE96/JqkQQjJC274kqmOWujYJbZ2D6jloqE5w/Uw0HSsu1SG4fiaEfYbqhHd9i6I3aazFhnvcy2mLfgR+MCYzDxBYo6+OGijWtaoTV6dwd40N/AJr3j4pdZIRXPeBYbET/w8zKjmbkSNbCe9ZaqidcN53KG3Pp87NS2JqnOVEOAR73TJ1PXvvG1O2pUUCBNbPNNS/5j1MaMvnCY8FfjC4vSQaIrD2vYSHwj//QOTAWkPNhbZ/RbR4f6zponxCO+YZqh/5+QfC+78nsPZdQ/W0wDGCGz8zVCcd/Glcw+nUOdPQLZDxwAMPMGXKFNq1a8dVV12FxRKrGolEePfdd/n66695++23a8tOXcyePZvRo0cjSRLjxo3jlltuYdeuXbRsGZ+d+9VXX8VisXDLLbdw8OBBZsyYwZ49e/j444+xWq0AzJ07l0AgwFVXXUVWVhbr1q3jnXfe4cCBA0ybdmIGc9OmTVx99dUoisKVV15Jo0aNyMvLY+HChdx6661l5SKRCDfccAM9e/bkD3/4A0uXLuWtt96iadOmTJo0qazcn/70J3Jzc7n00kuZPHkyu3fv5p133mH79u28/fbbp1TJysSkPKHdi/XH5Zevt3MB1ia9a8EikzOd2OZwg2hRwnnfIencGF8bhHZ9a7iOFigk8vMPZQlKI4c2Efjx30QOrEeLhhCd2SgdL0bpOB4hkXx0LdmlFu3B1vN6BEkhUMWqmGDLwj3hzSo3/acinIZ9IZ3XSCR/ha7wwUTtpxNKWR5NjRDevdhwvbSu/yToPU/lUY/tRC3cjVSnRTVt0gjtWoi91w24RjyKc/jDx0MABQQlw9A4JnJgnaEVnFJCOxegdJoQ91m0eD/RI1vSassx4K5Kn4d3LjTcVtnzquuVhHcv0r9iWI7A+g/RvIdTF6xAaNdCbF2vNFzPCHoERSrXMf4cONPQ7Ww99dRTZGVl8cQTTzBt2rQyNcK9e/fi8Xho1qwZTz75ZFwdQRBOmkjFmjVryM/PZ+zYWM6AQYMGkZmZSW5uLnfdFX+TeDweZs+ejdMZU2Rp164d999/P7Nnz2bChNjNee+998ZJ2U+cOJHmzZvzwgsvsH//fho3bgzAY489hiiKfPrppzRseCIvQ8XZIb/fz8UXX8wtt8QEAq666iomTJjAxx9/XOZsrV69mk8++YRp06YxevTosrpdunTh7rvvZtGiRZx77rk1cr5MTKqLFixJr17IU8OWmPxSOFOvKS2Unt1q0IPqPUzJ/26rNDiPAuGdC/B+Exus6lVZqwm7CHlxjXgUW7erCfzwb4IbPjkexiUg1e+Arcd1SGd1JrzzG0Kb/wcWG9YmvZHbna9bylzTtLR+N7110r0m0r0GK/dtPByxJq/jmrqXaqIdQRDjVrcMtVODz4R074dkoajptxezTQumeY3q2KdVVb+1SVrfSQ2jRQJpTyqdCeh2tvLz8wFo1CiW4bqwMPZju91u3G434XC4rMypYPbs2TRo0IBevXoBYLVaGTVqFLNnz67kbF188cVljhbABRdcwBNPPMF3331X5myVd7R8Ph+BQIAePXqgaRobN26kcePGFBQU8P3333PDDTfEOVpAwpmbiRPjX5a9evWKC3WcO3cuWVlZ9OnTh4KCEzM5vXv3RpIkVq5caTpbJqcNguJOr56uJKUmv0bO1GtKkNOzGy1C4X8uRC3MS17EX4Dn89+ihbzYj+fyqW27Sn8HS3Y7XKMexzXq8dgeGNFCZO8KvN8+QeSrB+PqBFa9HpMy730j9n53pE6+KggIssvwAFDvb53uNZHuNVi5bwGjDldNXsc1dS/VRDtqoBC1cC+gIrobG1Kfq8lnQtr3QxKp9PTbi9kmKGleo2k6rifjOSkoLrRgYqGVpIjWX7SjBQacrW++OX03sEUiEb744gsGDRrEnj0nNj52796djz/+mHXr1sXtJ2vePD75ocVioUmTJuzbdyIR3/79+5k2bRrffPMNRUXxF47HE3s5lCZ2btu2bUobHQ4HWVnxN0hmZmZc27t376awsJABAwYkbKO8A2ZicqqRmw8G0WI4lFBuNayWLDI507G2HAqLnjFWSbRgbXFqJ6HklkMIrku8ryMZgi2LwI/vVOlolcc7789Yc/piadDZkF3hHV8bskvMbFaWoLY8giSnTPOgeg7gW/g3ooc34brglZQOl7XlkKR7a5Ihtxyqq5wlpx9Y7YZDCfW2XxWCaMHafHAsTMwA1hrouxS55VDDIYBinVaIFZJDp2eTEOs/fxWBNW/F54ASRKythmPvOQW59ciULVkadkWw1zUcSpjoPSNlNEbKbm84lDDZO8vaaigYSHwMgCCVPa+szc8BQTIcSmjrMpHQ1jmGQwlr4tpOhbXlMIJr3zFYJz2BnTOJk5O6vJZZsmQJBQUF5ObmkpubW+l4bm6uIfGOaDTK9ddfT1FRETfeeCOtWrXC4XBw8OBBHnjgAVTVuEylJEkpy6iqSv369XnmmcSDjbPOOstwvyYmtYXoaoDcdgyhLbN115EadDH3a5kkxdq4J5aG3QxtOpfbnIfkblSLVumwod1YRFcDQyIZ1rZjCBnZ+K+p+Nf8C/f5z+uuonSZiPfbJwyJZNh6XIsgVNbOihzeTEnu7bqU04Ib/otUtzWOQfek6Ot6w86Wref1usqJtgyUTpcQNCAkIGY1x5ogcWw62HpOMexs2fQKk+hA6Xol3u+eNiSSYe9xXSUH2ZLdDmuzgYZEMqwtziXw00eJkxtrKuEd8wjvmIfS+XJcY1+sMvRUsNiwdZmoK61CWR1nfeT24xIes/WYjPfrP+puC0nG1m1SwkPWRj3Se15lxLahSJk5yK1HEtr+pe76lkY9sDbuia3b1fiXvqS7nmCrg9LpYt3l08Xe83rDzpYeRcozHd1qhKczubm5NGzYkJdffrnS3/Dhw/niiy/iVP92794dVz8SibBv376yfVhbt24lLy+PBx54gJtvvpmRI0cycODASs5O6b61bdtqRq61WbNmFBYW0rt3bwYOHFjpr02bNjXSj4lJTeEYMBUkRWdpAcfAu2vVHpMzH/uge6hSMro8kox9wNRatUcPgmTFnmADfdLySubxAaaxMLPgxk9QDexhERU39j76E4mL7kZJcyT5V78BBqSj/av+L6XUtNxiMBYDyZ2tLYdibdJLd3l739uShoAlwjHw7hoToZLbjkE6y8AqZMfxoGl4vvojR6d15shTjTjyXAsK37mYwIZPkkqZJ0O0ZWHv/ZvUBUvLZzRBSZIvzT7w7tgKjK6GLIiZOYkdrQoEf/oIz5f3pyxn630jgq2Ovv4BR/+pCJKc8JjS+QrEzGa627L1mILoyE563D7o91TneWUf+FtIYmtlBByD7i6zS0iRnyyun/53nJRQPUuDs5HbjtFfvlGPGpvgOJ3R7WyNGDEi5d/IkamXhGsav9/P/PnzGTZsGGPGjKn0N3HiRA4fPszy5SdyeXz22WdxUuqzZ8+mqKiobD+UKMZOS3mRC03TmDFjRlzfdevWpVevXnz00UccOHAg7lg6uTpGjx5NOBzmn/+snJAvFAqVhS+amJwuWBp2w33RP3Q4XALO4Y+gtB97UuwyOXNR2o7GOfIxUg5gJBn3ha9ibdTjpNiVCnuv32Dve1vKcoLiJuOyf6MWp7HHOexHLdydulw5HOf8AaXz5antcmSTcfm7iPa6lY6lI6OuV2o645J/ITXokrKcpVEPnKOfw7/q/yj+9DcUfTiJkv/dTnBzLlqSUGZLvTa4J7wZCydMgX3Q72tUqU0QJTIufwepbupJUkvTgQiym8I3ziWw5i003xFAg0iASP5yPLm3c+z1AUQObTJkg2PIH1E6XZLaVudZsd/elpnwuNziHFxjnk3tcIkWHMMf1ZVEu5Tg2neJHKg6qbWU0YSMy2YgKBkp27P1vhmly0QC6z/Et+Lv+Fe/QTh/1QkTFRcZV7yHqGM1XG5/Ac7hD1dZRml7noHn1StY6nckemwX0YIdqMESrI174r5gOojWFNYIOEc9jtzmvFhz7oZkXPYfXfu3bD2n4Oh/Z8pyNYX7wlex5PRNWU6q3yH2uyZYSf+loTuMsHTVpzzRaJT8/HwOHTpE8+bNT0mY2/z58/H5fAwbljimtn///thsNnJzc8vEL1wuF9dccw0XX3xxmfR7u3btuPDCCwFo1aoVzZo14+mnn+bgwYO4XC6+/PJLiosrZy//05/+xDXXXMOECRO44ooraNKkCbt37+b777/ngw+MZaPv378/l19+OdOnT+enn35iwIABiKJIXl4eX3zxRVluMBOT0wml/VjESZ/gW/oC4Z0LoEI2eEtOXxz9pyK3GXWKLDQ507D3vhGpTgt8y6bHJLzLI4hYWw7FMeie0y4k1Tn8YaQGnfGv+EflhLaiFbnd+TgG/x5LdnuIhtPqQ1ON1RMEAde4aVga9yKw+g2iBdvjC1hsKB0uwjH4XqSsxDP+kQPrDOfrAgjvXZ7SgRHtdci6+jN8S14gsO79SntzBEc2SpcrIeyl8M1zKu3BCm78BNHVEMe592NLsDIjtxxK1jW5+Ja8QGjbl5X2x1gadsPe/w6UDhcZ/n6pkNwNybw21ndw/YeVhANEdyNs3a8lWrAzZeiVWryPovcmkHltLpZ6qfeJQ0wF0HXhq1ia9MK/+k3UYzvjC1jsKB3Hx377zJwq27J1m4SY2Qz/spcSyNoLWFucg33Ab4nsW20gSW8M/w9vpwyPteb0IfO6z/Etfj4WelrhPpDqd0LpfAXRo1speLV7petEOuts7H1uxtZlIpZ6bci8bg6+xc/FJhEqlBWzWmDvdUNsRU2HIxB7XrU8/ryqkKT7+PNK6TiBcN5iPHPuPqFuKFqR24/F3vN6Mif9F9/SF4/LycdP1lua9scx4C7kCitA1sY9yTp+ToJbZlc671L9Dth735w0DLK2EGQnmVd+iG/ZNAI/voPmPRR/3FYHpcsVOAb9HtGW2oH+JSBoNZAuffbs2Tz11FPMmDGDVq1a1YRdurn11ltZvnw5K1asQFESz67feuutrFq1ihdffJGbbrqJl19+mfXr1/PJJ5/g9/sZPHgwDz30EA0aNCirs2PHDv72t7/x448/oigKo0aN4uqrr2b8+PE8+eSTXHLJidmizZs38/LLL7N69WpCoRA5OTmMHz+em2++GYjlKJs3bx6rV8cnc50+fTqvvPIKW7ac2KypaRoffPABH374ITt27ECWZXJychgyZAiTJ0+mbt3Ks46JyM/PZ8SIEcyfP5+cnKofov/P3n1HR1VtDxz/Tk0mjRRCLwk11ECo0kKXDtJEmoCKAg+7Pqw/9T3rUx7qQ1FUmiIgRRCQ3kHpvUsNPSG9Tdr8/hgDCUlm7p3MJIHsz1quJZlz7t2Zmczcfc85+wjhLJmxl0k7twGLOR6NwRND9bboy9Uv7rDEfSwj8iTpF3dgSU9C4+aNsWZXdPcs4i+J0q/uI+PqfmtJY5MfbrV7oPW6e0My4bdJmI8vUX1cv4n70flUdjiutIs7yLh5FDLT0HoGYqzTE63J9hQt89l1JCwZrfpcxpB++AzIO1OjIJYMM2l/rSUz9hKgQecbhKFmZxJ+HU+6gs1fPTq+afMOfmb8NdL+WoclNQ6NwYS+SosiGxm1pCdjPrOGrPiroNWi86+FsWYX0s5tJGHJ44qPo6/SEt+RK+w3vPf8Fgvpl3aQcfOY9bX3Kmd97R2obJdx+yzpF7ZiSUtEY/TCWKUoMrAAACAASURBVKPTnaIqMd93IjNS3QicxuhJwIvnFLfPSook7ewaspKj0ejd0VdqisboRdzCR+0WjXBv+jheD98tapGVGm/dlDzpFmgN6MvVwxAU7vB00vw+r8ynV5O8+T1sTRt2b/o4nt0/JCv2MmnnN2IxJ1i/Q4Paow8MsXverOQo0s6sISv5Nhq9G/qKTTComKLrKpbMdNL+Wk9mzHnAgs6nKsbaD6NRMNpckhT2mtopyRbAO++8w/Xr1/nmm4I3QSxuu3fvZvTo0UyfPr1YpjwWJUm2hBCi5Eo7v4n4ReruOOurPoTviGUuiqhg6RG7ifupv+p+7k1G49VDZXXJeyRt+0hVIQCfYb9gDGpfqHMWpbiFw1RXDfQdt6nE3sS6/UXDv6dBqmTwgAwzGo8A3EL64R42Bn2AsnXqWcm3if2hC1mJN+w3xjq9Mr9Nil0hZf8PigtyuDd7Aq9u77s4IuGIwl5TO22iZL169di7d6/9hkIIIUQpZwjuhNY3SFWf4qrapa8UhkbF3kjZjLW7F+q8lvQUUg/MUdUn4bd/2C3MUVJkxl8j/cJW1f1SD6vbZqAoafRKCybdIz0ZLJlYkm6Ruv87Yme2I3HtP7Fk2S+LnnponuJECyDlz+lYHJgWq1ZWahxJm/+luH3q/u/JuHXChRGJ4uK0ZOvkyZN3CksIIYQQomAajQavhz+y7lWngKFGZ4x1+7g4qvxpdIYCqxQWxBll1M0nl2NJjVHVx5J0k7hFwwssmlGSZMVFoLYipbXfZfuNioleRQVGe1IPziFxte0KthZLFqmH5qk6rsUcp6h4S2GZjyxQVXofIPXAbNcEI4qV4gIZBY1axcXFsWvXLn755Re6dZMF8EIIIYQSxuCOePf/loTfJtm8KDPU7IpP/2/QaBWW33YBU7MnMB9ZoHgEwbPDlEJXGVOzf1Gufpd3kXrox1Kxf09J4950tKp9o+wxH1uEsU5P3Or0zPfxzMjT1nVwKqWd3+jywhHmE+rXZKYeX4znwx87bQsCUTIoTrZGjRqV74ufveSrTZs2vPXWW86LzAVatWqVqxiFEEIIUZzc6vZCX2E7qYfmkXpk/t0F/n9XMTOFjcFQs2uxl0fWegbiM/Rn4hcNs7N5swbPLu/iVv+RQp/TkmF2uG/qwdklPtnS+lYDjTZPBVf7/YJcE5ATGGp0RhdQm8zbztl/FCD1wKwCky1LmvJ953L1U7FfnaOyEm/Zb3Sv9GQsaUlo3LycH5AoNoqTrQ8//DDPzzQaDWXKlCEoKIjg4GCnBiaEEEKUBroyVfAMfw2Pdi9bE5lMa6EARyrFuZK+XD3KPL6GlN1fYz66MHcpc40WQ41OmFpMwBjUzinn06rYtPVemZGnSL92AEOlMKfE4go674oYgjuSfn6Tqn5FXcpbDY1Gg8+g2cT+2N+xQhn5SL+4nczYy/luTaAxOpaUONpPFYVThO+l0TnWT5Rcil/R7D2qhBBCCOF8Gp3B7n5HxU3nXRGvru/hGT6FtIs7sKTG/F1quqnTS/K71etPyp9fOtw/K/YSlOBkC8DUbJyqZEtf9SFFpcCLk86/Jr6jVpKw6lkyruxxwhEtZMZF5Jts6crWQetVQVWBDABDUAcnxGWbLrCe6s3LtX7BaPTuLopIFBeH0+foaOvGg0r3fRJCCCFE4V2KiuVKTAJ6rZZa5f0I8PIo8hg0Bg/cCllt0B59+YboKze3bpT7t53JlfklLoTrGZ7oNBbqGKMZ6XucWsZYl8biKtFlW/O14Un2XriO2aLDX5dKH++/6OF1AZ0md/EMjUcA3r3+6/KYNp24wI+7jnItJgG9Tkv9SoE81TGM2hWUX+/p/ILwHbmCjJvHSD38I5nR59kX4878CwauJGvQYaGmMZaRvsep6eBrdykqlu+2HmT/zaGkRl8iUJfMQJ8zdPK8hNbGkieN0Qv3hkMcOqcapqajSD+3XlUf9ybq97MTJZ+qZOvmzZtMnTqVjRs3kpRk3QHby8uLLl268MILL+TaFFgIIYQoia5ExzNr2yHO3LhNlsVC1YAyjG7bmPqV1Zc3LyqZWVks2XuSGZv3s/303Wp0Rr2OR5rVZUKXFrStXbUYI3QNz05vE/fTI/yZVI5Xb3bibFruC/7NSdX5NqYJHTwimFZxIxX0SXce05bgza+TzGlMnreGBX8eIz3THbi7FOPXhDpU0ifwVuAuBvhY1z5p/YLxGTwXnV+Qy2LaduoSk+au5tT127l+vvboOaat+5PuDWsyc1wfKvp6Kz6mvnxDTtd5jolzVnPg4vVcj61Pgm/+fu2mVthIJUNSAUfR5BrVik5M4ZnZq1h+4DRZd7aKtb73lybUpbohjn+X20ZXr0v5Hs29+VNojJ6KfwdHGWp2RetXg6yY84raa4xeuDce5uKoRHFQvKnxtWvXGDp0KFFRUdSrV49ataybzZ07d44TJ04QGBjIokWLqFixoksDFsrIpsZCCJHbrfgkJs/7neUHTpOZlferLzykOl+M7FHikq6UtHSGf72UlYdsFx34vwEdeLO/66dHRSemcOJaJOb0DAJ9PGlc1bU3WletnMOjSy9gtti+P1xZH8+KakuoZEhCFxiC3xNbFJ/jz3NXWLbvFFGJyZgMBlrXqsyQFvVxMzh//UyyOZ3u//mR3edsV9HTYOHjeteY2L8vxtoPu7Qa5ZojfzHoy19Iy7C9r1VQ2TJsfX0MlfyUJVy7zkbQ67P5JJnTbbarqE9kebUlVDXkLVxhCAqnzLCFgPW91+nDOZy4Zns9mI4s/ldx/Z1kNZtbg8F49fmyyKr9ZUSeJO6nR7Ck2hm90xnxGTQbo43tEhJSzKRnZlHGww2dbLVUpAp7Ta34U+Tzzz8nPj6eb775hvDw8FyPbd26lcmTJ/P555/z0UcfqQ5CCCGEcKVrMQl0+nAO5yMLvujZeuoS4R/MYd2rI2lavUIRRmfb498ut5toAbz76za83N14/uFWLonjwMXrfLl+D4v3niQ1/e4+VvUrlWV8p2aMbd8EDzeDU88ZGZ/EqFU37SZaAFczfHj6Wg9+q74E97Cxio6/4fh5Xv9lEwcv5V7z883m/bzy8wYmdmnOG/3ao7U1L02l539aazfRArCgYcqpKrQf0oTmTky0LkXFMnPLAbafuUySOR0Po4EDF6/bTbQALkbFMfzrpWx5/XG7beNTzAz8YpHdRAvgeoYX4672Yn3QwjyP5Xwtn/rhN7uJFkAmWp670ZXG7reoYYxD6xeMqfmTuIeNK9Ky6vrAepQZuZyEFRPJvHU83zZanyp49Z6GsXrewjKR8Un8sO0QM7cc4NJta0EaD6OBR1s1YEKX5iXqc0oUTHGytXPnToYPH54n0QIIDw/nscceY+XKlU4NTgghhHCGodMX20y0ssUmp9J/2gJOfTTJ6YmDIzafuMCy/acUt39n2RbGtg+ljIdzF9nP3HKAyfN+z3dE8MS1KJ7/aS1zdhxm5YuPUc7HeVO0fth2iITUNMXt96VW5EhAHzqFjrTbduHu44yZuZyMzPxLr0clJvPe8m0cu3qL+RMGOmU0ISohmfl/HFXcPsti4X8b9jL7qf6FPneyOZ1nZq9i4e7jOabfqbfzbAT7LlyjeXAlm+3m7TzC7UTlm/oeMweyM7kybT3uJqJujR7FrU4PAM7diua3Q2cUHy/NouMnzyf4z8CWGILCi23vKn3ZuviN20h6xG5SD80jM+Y8ZGWi9amCe+NHC9zaYeWhM4ycsSxPspqcls6s7YeYtf0Qz3RuxrQRD8tIVwmn+NWJi4ujevWC5z9Xr16d+Ph4pwQlhBBCOMuOM5cVjSRkux6byPw/lV8Qu9KMzftVtU8ypzN35xGnxvDLnhNMmrs630Qrp4OXbtD3vwtISbM/kqGExWJh5pYDqvv9aOltd8rdkYibjPtuRYGJVk5L953ivV+3qY4jP3N2HMasYAQpp8V7TnA7MblQ501Nz6D31Pn8/OexQiVa2b5R8L505LWbE9vw7//T4B42Fq+eU3Mc7yBqQ59/Xktm5bYlYpNgQ9VWePf9H76jV+M7Zi0+A7/HWKt7vonWuqPnGPK/xXZHBWds2s/keWtcFbJwEsXJVoUKFdizp+ASnvv27aNCBRnOFEIIUbIouTDM02eT+gtFZ0tNz2DFQeV38rMt2n3CaTFkZmXxz4UbFF/kHrh4nXlOSvZuJ6bcmTqlxsGISLttvli3R9G0uWxfbdxHsoLpcPbcWyRCCXNGJicVTJ2z5e0lW9hxJqJQx8jp3mmX90pNz+D4Vfuvw72OpFXEvcXT+I3fiVf3D3MlzQcvqX/uYpNTuRil/j1UnDIysxg/a6WiGwFgTWp3nLlsv6EoNoqTrR49erBmzRo+++wzEhLuLmBMTExk6tSp/P777/Tq1cslQQohhBCOUjOqle3Q5RuqLsZdIToxRfEFV05RCQVVdVNv1aGzRESrm7XyzWbnJKqOPv/mHOvJ8hOTlMKiPfmvnylIbHIqC3YfcyienNSOamVLtfM72ZJsTueHbQcd7p8fe6+No/Gmmyri1eVddP418jxmTi/65644rDx0hqsxeQuF2DJj0z77jUSxUbxma+LEiezbt4+ZM2fyww8/UK5cOQBu3bpFZmYmYWFhTJgwwWWBCiGEEI5w9GIrJS0do951FeDscXewEp4zK+j9slf9KNmRiJucvn6buhUDCnVuP0939Dqt6oTT3pqxg5dukJKm/j2x6+wVxnVoqrpfToHeju2JFujt+Dq4hbuPE5didrh/fuz9Hj7ubrjpdaqTy0Cfgo/r6FrA8k5cQ1gUHBkZXrb/NAkpZrxNbi6ISBSW4pEtk8nEvHnzeO+992jbti0mkwmTyUS7du3417/+xdy5c3F3l12vhRBClCz+nibVfQw6Ld7uxXvh4ufpTo1AX9X9nFmhLCrBsbVCUYVcYwRgMhro26SO6n5DWzWw+Xiyg2vKnLEWbWjL+qr71KtUltBqjpfXP3rllsN9C2LvOdZqNQxqUU/9cW08P0NbqX/u2tWpqrhMfUlx+bb6+gdpGZnccuKItnAuVbe/9Ho9Q4cOZejQoa6KRwghhHCqQc3rqV4/8kizEKeW+3aERqNhfKdmTFm0UVW/Zzo3d1oMjo6uOdrvXs90bqaqGqOXu5FRbRrZbOPnQPJdmH45daofTEjFgDwbB9syvlOzQp0zPdO502F9TG6MeMj2cwzW9+H8P5RPvTTqdYxt36TAxweEhVDR14vrsYmKj+nMv4WionPwc0cqEpZcil6ZpKQk6tWrx/Tp010djxBCCOFUT3Zsil6n7kLkmc6Fu8B1ljHtQymjYmpQ65pVaFWzstPO38JOee/8eLsbqVuhcFMIs3WuH8zA5iGK2/97UCe7U6la1ahMJV/1ox0DmtVV3Sc/nz3WXfH7sWn1CoxtH1qo8znyu9ry/uDOeLkb7bZ7qFYVhtkZAcvpjb7tCLQx5U+v0/LpsG4oLSzYMaQ6A5spf++UFI5Mv/UxuVGhjJcLohHOoOiv3dPTEx8fHwICnPPhKYQQQhSVir7evPhwa8Xt+zWtQ/u6BW91UpQCvDz45R+DFY0UVQ8ow4JJA516/nHhTTGoTFRHtmms6GJcqTnjB9A/zHaio9HA+4M7MalrC7vH0+u0PBFe8AhKfmqX96dL/WBVfQrSvVFN5o4fgJud9YBhQRX57YVheLoV7rkc1roBWieUPtdo4OOhXVTdiPjuib4Mam5/OuErvdrwer/2NttEJ6ZwNSaBoLL2p9aGh1Rn8eQhGIpxzaWjnuoYprrPyDaNnDaaLJxP8Sdoq1at2Lt3rytjEUIIIVzi34M7KbpI7NGoJvOefqQIIlKuU/1g1r06koZVyuX7uEZjjXv7m2Oo7Ofj1HNXKOPFsNYN7Tf8m1GvY2JX507dcjfoWTRpMAsnDaJTvaBcj7npdYxo04gdb47l1d5tFR9zQufmVAtQ9lxpNNb3jzP3ahrSsj4H/jWeSV1b5Bm5bFy1PF893ostr42mvBNGK4ID/ejeMG91P6XcDXpGtmnEzjfH8WLPh1T1dTPo+XniQBZOGkTHkNw3MPQ6LQObh7DhnyP5YEhnm8f5aOUOgl76nFcXbuCCjc3JW9WszOyn+vP7S8OdvrF3UWlXpxqNqypfo6fVaO7L6ZKlicZiUbZ7RkREBKNGjWLgwIGMGzcOLy8ZrizJrly5QpcuXdi4cSNVqlQp7nCEuK9YLBaOX40kJikFk9FAg8qBmIyG4g6rREvPyOTY1UgSU60VsRpVKVci1hCkpmdw7MotUtLS8fUwcTEqhq837mfDifO59o5qHlyJZzo3Y2SbRk6LO8mcxomrUaSmp+Pv5UGDyoGqj2GxWDh2JZLY5BQ83IzEJqeyaPdxrsYkoNdqCalUlifDm1KrvL9TYgZrmfPT12+TnplJeR8vKvl58fB/frJbQl+n1TBn/AAe/Xvq2NWYeC79vcdRcKAvFZ0wnS02OZVtpy5xIy6Rcj6ehIdUV7yWKiohmb9uRZORmUVlP2/MGZn0/my+zYIEWo2GL0b1IDykOpHxSbgZ9NSrWNYpVd8ibsdxOTqe1L8Lb5iMBsp6e1DHCVMwT1+/TWRCEka9jpCKZbkak0CH92cTm5xqt2+DyoHMn/AICanp6HVaagT6Fmq9WvZnQ0KKmURzGt7uRvQ6HTUCfRUlk68t2sinv/9ht11wWV/++L9xBHg5VvGxOF2IjLH+Teu01CrnT2RCMh0/mEN0UordvtNGPMzELs3lO8uFCntNrTjZ6tKlC8nJycTGWu8o+Pv756k+qNFo2LBhg+oghPNJsiWEegkpZn7YfohvN+/nzI3oOz/383RnVNvGTOzSnJrlnHdR+yC4FpPAN5v388O2Q9yIu7twvaq/D0+GN+WpjmE212G4yoXIGL7auI+5O47kumCpVc6P8Z2a0aV+EDfjk8jMslA1oIxDiVBBzty4zVcb9zFv5xHic5TcrlepLOM7NWNMu1C70+xik1P5futBvt28n/M57uQHeJl4vF0oE7o0VzSdSo0DF68zfeNeftlzIldp9ObBlRjbIZQ9566x4M9j+ZbzrlshgE8f60aPxrVYffgsX2/cx9pj5+4ktFqNhp6NazGxS3O6N6rp1Nie6dyMx1o3LLBM/66zEXy1cS/L9p/OtT9U29pVeeyhhly+Hcfs7Ye5FX+3mptep6VPaG1qlPNj/fHzHI24W9HPy93IY60bMqlrC9XvG4vFwoqDZ/h64z42nbxw5/nRaTX0aVKHiV2a09nB6Yrm9Ax+3HWUGZv2c+jy3U2HPYwGhrVuQMd6Qbz88/pcv+e9QquV57cXhjklMb4Rl8g3m/bz/baDuYpaVPHz5onwpozv1MxuOfd1R8/Re+rPis85tGV9fprg3Km0rpKZlcUve04wY9N+dp69u+G0Ua/jkWZ16dW4Nh+u3FFgMRVvdyPvDexIRpaFmVvkO8uViizZGjVqlKIDzps3T3UQwvkk2RJCnYtRsfT57GdO3yi4SpiH0cD8CQPp3aR2EUZWcv157goDpi3kdmLBd18r+Xqz4oVhhSpdrdbao+cY9tUSElPTCmxTq5wfq14aTo1yfk4997J9pxj97a829/ZqUDmQlS8+RhX//Kexnb0RTZ+p83MlWffydjey6B+D6drA8elhOU3fsJcX568jy8YlQYe61Zg5rg9L953iwMUbpKZnEOjjwaOtGtC5fjCZWVk8M3sVs7cftnmupzs144uRPRRXe1Qa29Jnh+aZOvbhbzt4e+kWm8fvFVqLOU8N4MCl69xOTMFk1FPV34fxs1Zx4OL1AvsZdFpmjuvLCDvVD7OlZ2Qy7vsVLPjT9obKzz/civ8M66bomNluJybTf9pCm6OPep2W/zzalbSMTL7dcoBzt2LuPNaqZmWe6dyMIS3qO2Wftj3nrzJg2kIibWwdUKGMFyteGGZzq4L+0xaw+vBfis+r12k595/JJb7ce7I5nWFfLeH3I7Z/t3cfCad5cCW+3XKAY1dukZ6ZSUVfb0a0aUSHOtV4dPoSm99Znm7W76xeofKdVRhFlmwJq6VLl/Laa6/l+llAQAAhISE888wztGzZ8s7Po6Oj+eqrr9ixYwfXrl3D09OTypUr06pVKyZOnIinp/WOzpQpU1i2bNmdfh4eHgQGBtKoUSP69etHeHi46jgl2RJCuejEFNr9exZnb0bbbeum17HmlRG0q1OtCCIruU5ei1I8Lam8jyc73xpLdSePxOTnz3NX6Pbxj4o2Mq4R6MvOt8ZR1sGNZu+1+cQFek/9mXQFm/DWr1SW7W+Oxeee6Wi34pNo894PXLodZ/cYJqOejf8cTYsa6isG5vTjriOMnblCUdvwkOqseXlEvtX0Js/7nRmb9is6zgsPt+aTYV1dGtsX6/bw0s/rFPXt17QOiycPQaPRkGxOp+OHczh46YbdflqNhiXPDqGPgv3Anvh+BXN3KNuw9o1+7XjnkY6K2prTM+jy8Ty70zzBuv7s5wmDGNg8hKsxCSSZ0/HzdHd4w+D8nLlxm3b/nkVMkv3PhkBvD3a8OTbfmx4Rt+Oo9cr/bCbZ+XnnkXDesFNsozhZLBYGfrGIlYfOKmo/dXh3Jndrmetn8p1VtAp7TV38E+rvUy+88AKffPIJH3/8MWPHjuXq1auMGzeOo0ePAhAbG8ugQYNYvnw5HTt25M0332Ts2LFUr16dn3/+mZiYmFzHM5lMfPLJJ3zyySdMmTKF7t27c+zYMcaPH8/kyZNJTy/8ZopCiPxN37BX0ZcWgDkjU/W+Rw+id5ZtUZRoAdyMT+KD33a4OCKrKQs3Kkq0AM5HxvLFut1OO/fLCzYoSrQATlyL4tvNeROT/675U1GiBZCSlsEbizepivFeaRmZ/HOh8vfz1lOXWLrvZJ6fn7wWpTjRAvh83W4uRMbYbFOY2OJTzPzfsi2K+644eIZNJy4AMGfnYUWJFkCWxcIrP6/H3n3rAxevK060AD5ZtYvrsQmK2s7/45iiRAvAYoFXF64ny2Khir8PdSsGODXRAnjv162KEi2AyIRk3v9te76PnblxW3WiBXDqWpTqPkVpw/HzihMtgP9buoWEHNORAf63YY98Z91HVCdbmZmZHD9+PM9/ERER9js/QMLDw+nfvz8DBgzgqaeeYu7cuaSnp7N27VoAFi9ezLVr15g5cyZTpkxh6NChjB8/ns8++4xt27YRGJh7nrder6d///7079+fRx99lJdffpnff/+dUaNGsW7dOqZOnVocv6YQD7yMzCy+23pQVZ/d567anF70oLsWk8CKg2dU9Vnw53HiFCZnjjoScTPX2gclfth2iPR81iCptfNsBEcibqrq8+2WA2Rl3b2YTE3PYNb2Q6qOsfnkRU5dd/zicsnekzbX8ORnRj5J4oxN+1QdI8ti4dvNB2y2Wbz3hMOxzd15xOY00vx8/Xey+I2KpBHgr1sxrD923s6x1T0/6ZlZfLdF2eeS2mNfvh3PKhUX+2rcjEtk6T7lm1ADLNp9guh8piJnZDk28SojS9kNj+Ly9UZ176+E1DTm7Tp659+OfmcpvYEgnM9mshUbG0vPnj2ZNm3anZ/Fx8czaNAgBg8enOe/uDhld+MeRH5+fuj1ejIyrHdUL1++jMFgIDQ072aEXl5euLnZr2Sk1Wp5/fXXqV27NvPnzyc+vuCKSUIIx+w8e5lrCu8g5/TLnhMuiOb+sHT/KTIUjuBkS05LV3U31xGLHXhNbsYnsfX0pUKf25H3w4XIWPZcuDsisenEBZvr3wo8927H34uOxL399OU8oy6L9+Yd7SrsuRfvUX/M7NgceS+sPHSG/ReucfxqpOq+i+z9Lo48P3vt/w7nbkU7dBHtqs+vZftPKx7dzZaansGKg6fz/Lyyg+uunL39gTMlmdNYfUT95+Ave+6u89tx5nKugiPKj1F6v7OKm81ka+nSpVy9epXRo0fneaxfv35MmjSJSZMmMWHCBJKSknKtO3rQxcfHEx0dTXR0NKdPn+att95Co9HQs2dPACpXrkx6ejq//fZboc6j1Wrp3bs3qampHDhg+y6gEEK9W/EFL+C22S9B3R33B0mkytGGbK5+zm7ZWIxvs5+Dv09Ojj4nUTlidjQOW0UI7HH0Ncl5TovFQqQDx7F37sLE5kg8mVkWztuZ2ljwOQs+X0pauupRNlD2fihpn1/O+DvI1rBKOZpUK7h4RkFGtW3sUAxFIToxhUwHRuwi4wv/OeGMzznhGJslZ7Zt20bHjh3x989bNnLAgAE89NDdze3OnTvHli1bGDNmjNODLInuTUA9PDz473//e2cka9CgQcyePZtXXnmFGTNm0LJlS1q0aEGHDh3w9lZ3t6Z2bWsVmcuXLzsneCHEHW4FlIu2x90JFbvuV47+7q5+zorztXS0glvOmB2Nw83g2O9dmHPm7KfRaDDqdPmWhC/MuQvzehr1jv1eXgpmnRR0zoIY9To0GlC7/EjJa1PSPr8cPW5Br9fTncOYMHu14uO0rlmlSCufquXw50SOfo4eozR/ZxU3myNbZ86coUmTJooO1KhRI86ede0UkZLk3XffZdasWcyaNYuPP/6YunXr8vLLL7Nvn3XudNmyZVm+fDnDhg0jLi6On3/+mRdffJGHHnqIGTNm2F1Mm5OHh7VSVlKS3JUQwtmaVK+AVqOsBHVOzYIquiCa+4Ojv3tYddc+Z47EpdHg0N1zZ5zboNPSqOrdC8OwoIo48FYs1HvRkb5lvTyoHlAm93GC1R/H3vuhWZD6KovZsTnyewUH+tK6VmU8HNgM1tb5dFotoVXVv8eU/A51KgTgbWfPtvy46m/RkfdBfv2y11E+3jaUTvWCFB3Dy93IF6N6OHT+opLf344SOd8LTR38zgoLKvznnHCMzWQrPj4eP7/c5Tg9PT156623qFEj994e/v7+pWrNVmhoKG3atKFNmzYMGDCAl8FEcwAAIABJREFUWbNm4e3tzfvvv3+nTbly5Xj33XfZsWMHa9as4c0338Tf35///ve/LFmyRPG5kpOtw8fZpeKFEM5TLaAMvUJrqerj6+HOsFYNXRRRydetYQ1qBKor4960egVa1azsooishrZqgL+nSVWf7g1rOmWvrVFtG+Pppu4ifUBYCBXKeN35d50KAYovLLOV8/FkYPN6qvrk9FTHMNUJ3uPtQ/PcXX+6UzPV57bXZ3wnx2NzJJ6nwsPw8zQxtFV9Vf2Meh1j29u+Mf105zDV8eT8HTKzssjMp/CDl7tR8T5f2fQ6LU92bKo6HiU61QuiboUAVX0aVS1HqxqVWbrvJN0/+RGPJz/A46kP8X3mY8Z9t4JXej1E94a295ML8DKx6sXHbO7ZVRJotRqe6qj+vfBM57vvhWoBZejZWL6z7ic2ky2TyURCQu5FsEajkREjRlC+fO5h2sTEREwmdV9yDxKTyURoaCgnTpy4kxxl02g0BAcHM2rUKH766Se0Wi0rVijbNwSsI4wA1atXd2rMQgir57q3UnVR92R4UzxUXlg/SDQaDZO7t1LV59nuLe03KiR3g56nO6m7kHnOSXH5mNzsXnDnpNVo+Ee3Fnl+/nz31qrO+0ynZhgdnEoGUKu8P31C7e8Rla2g53hwi/pULWCT5vzUCPSlX5jt8xYmthY1KtG2dlXFfX1MboztYH39/tG1Zb77iBXksdYNCbRTPn1460aUV1FivUHlQBpXLccHK7ZT+5UvMT35AaYnP6DWy1/y/ort3Ii7WyBhYpcWGFTEO6h5CL4e7szccoBHPl9I54/m0nfqz3z2+x/cTnR8/R9kfzao+5t6rFUDmr71DY9OX8LmkxfvFNhIMqezYPdxen32M3qtlsWTB9M7tHauUZ3a5f35z7BunPp4Em1UvN7FaVyHJnn217OlXZ2qhN0zyvlc95bynXUfsfnXWbVqVQ4ftr0TfLZDhw5Rter98UZ3lexKhPcmWzlVrVoVHx8fbt26peiYWVlZrF69GpPJRFiY+rshQgj7OtYL4oPBnRW17dagBu8N7OjagO4Dk7o0Z6TCO+qTurZgZJuiWbT+9oBwxXd93xvYkW4Nazrt3B8N7UJ4iLKbYp8+1i3fi8OeobV4q7+yDVn7NqnD6/3aqYoxP9890ZcGlQPtttPrtMwZ35/gwLwjgUa9jmXPPYqvh7vd4wR4mVj23KPotPYThMLENn/CQIIVjMC6G/QsmjTozubWodXKM310T0UXsy1rVObzkQ/bbefhZmDpc0MVTfmrUMaL4Q81pOYr/+P/lm3lYlQcFot1zdel23G8s2wrNV76gu//Lv9dr1JZvnuir6KpZU2qVaBuxbJUf+FzJs5ZzcpDZ9l++jJrjp5jyqKNBL34BS/OX6e62mhOT3dqxpj2eSsx52dkm0Z8vWk/p67fttlu9ZG/mL5hH7/8YzAxX7/KpanPcfPLlzj+4QSef7iVovddSRHo48nCSYMUrbcLDvRl/oSBeX7eqX4w7w9S9p3VvaF8ZxU3m5907du3Z926dVy4cMHmQc6dO8e6devo0KGDU4O7n8THx3Po0CHKli1LQEAAhw8fzjfpOnLkCLGxsQQHB9s9ZlZWFh988AFnz55lxIgRqgtrCCGUe7lXG2aO60Ml3/z/zkxGPRO7NOfX5x/FUIiRhAeFRqPhhyf78Vb/9gXepfX3NPHR0C5MG2H/YtRZ9DotSyYP4dnuLTEZ818QXqGMF1+P6cVrfQufqOTkZtCz8sXHeKpjWIEXUlX8vJkzvj+TuxV89//tAeF8OapngZvNehgNvPBwa74d14fjVyM5dPlGvtXclPL3MrH5tdEMblEPnTb/C/Y6FfxZ8fyjNqcshlYrz7Y3xtC6ZpUC27SrU5Xtb4ylvoIEqrCxVfLzZvsbY+gdWrvAxKlhlXKseWUEXRrknqY2rkNTFkwcRFDZ/NfXGHRaRrdrzPwJj7D68F98v/Ugi3Yf52ZcwSW5W9aozObXHre5FqtTvSCef7gVbyzeTJqNgiPpmVk8M3sVP2yzJlzDH2rEkmeHULOAKbF6nZbHWjekZY1KvPfrNuLu2SQ3W2p6Bl+u38PQ/y3Od9qiUt+O7cM7j4RTpoDPBj9Pd94f3Im0jEwiopVta7P55EVmbN6Ph5uBSn7e+HuZ0DiyyLEE6NqgBmtfHVngjQSNBnqH1mb7G2OoWMB30iu9rd9ZFX298n3cZNQzqWsLlj0n31nFTWOxUakhKiqKHj164OPjw/vvv5+r+mC2P/74gzfeeIPExERWr15N2bJlXRpwcVu6dCmvvfYaL7zwAhUrWj8wIyMjWbx4MRcuXOD//u//GD58OO+99x6//fYbXbt2pWHDhhgMBs6dO8eSJUtIS0tj3rx5dyoXTpkyhTVr1vDuu+8CYDabiYiIYN26dVy8eJEePXrw6aefYjAoHwK+cuUKXbp0YePGjVSpUvAXnxAit4zMLH49cIrl+08TnZSCh9FAm9pVebxdKP5epXeqtC2JqWnM/+MoG09cIDE1DR+TGz0a1+LRVg2KtQJWTFIKc3YcYeeZyySnpePn6U6/pnV5pFmIyy8+ohKSmb39ELvPXSUlPQM/T3cGNa9H36Z1FI3oAKRlZLJ030l+O3iG2ORUPN2MtKtTjYaVA5mz8zBL9p68UwFQp9XQO7Q2E7o0p2sD2+tbbIm4Hcf32w5yNOIW5oxMypfxZHjrhnSuH6zqwvbgpRvM3n6Ii1GxANQI9GNch6Y0qlquWGI7dyua77ce4uS1SDIys6jk582oto1pV6eazX5ZWRZ+P/IXv+w9QVRCMu4GPc2CKvJQrSr8sO0QS/edzFWF0aDT8kizEF7u1cbm+qG9568xZ8dhLt+OQ6vRUKu8P0+EN6WcjwdBL35BanqGoufETa/jwmfP3pnGaLFYWHv0HAt3HycyIRk3vY6m1SswrkNTtp+5zMgZyrfoefeRcF7vp2yUtSBJ5jTm/3GMjccvkJBqxtvdjYcb1WRY6wbEpZip8dIXqvblqlshgGMfTihUTCXNjjOXmbfzCNdiEtDrtNSrFMiT4U0VryWV7yzXK+w1tc1kC6zl35977jlSU1OpVKkSISEheHl5kZiYyKlTp7h27Rru7u58+eWXtGvn3LuEJVF2spWTu7s7derU4fHHH6dPnz4AnD59muXLl/Pnn39y9epVEhMT8fPzo1mzZjz99NPUr393Ae6UKVNy7VHm4eFB2bJlady4Mf369SM8PFx1nJJsCSHEg+fdZVv594rtNtuMbd+Er8f0UpzUCXV+P/wXw75aQnJaeoFt3A165j09gAHNQlQd+7Pf/2DKoo2q+rw/uBOv9m5rt12bf/3A3vPXFB/XqNfxTKdmPN25GXVUFr1QwpHfFWDL64+rWo8nRGG5PNkC+Ouvv/j888/ZunUraWl3N+YzGo107NiRZ599llq11FVGEa4lyZYQQjxYPlm1kzcWb1bUdnynMKaP7uXiiEqfAxev0/HDOaSk2R95ctPrWP/PUTxUS/l3cOM3ZnDyWpSqmGqX9+fERxNttjl46QYt3/lO1XGzaTTWtarfPdG3wCltjnh23hq+3rRPdb854/sz/CF1FRiFKIzCXlMrmt9Rq1YtvvzyS9LS0rh48SKJiYl4eXkRFBSE0ah+fwchhBBCKHcrPol3f92muP23mw/wdKdmNK5acjd4vR998NsORYkWgDkjk/dXbGfli48pPn72tEs1lPQ5dOmG6uNms1hg3bHztP/3bLa9MYZKfs5JuBxdbqXh/lynJUovVXMMjEYjderUISwsjDp16kiiJYQQQhSBH7YdtFkwIT8zNu13UTSl05XoeFYeOqOqz7pj5zh/K0Zxe0cSCSVVCM0q3zv5uXQ7jhEzlhb6ONlqlvN3qF+t8o71E6K4yIRuIYQQooRb8OdxB/occ0Ekpdfqw2fJzLK78iIXiwVWHjqruL0jiYSSPmr2+LJlx5kI9l+87pRjjWjTUHUBncZVy9OiRiWnnF+IoiLJlhBCCFHC3YpPUt0nITWNZHPBRRyEOnHJ+ZdLtyc2OUVx23EdlG+MfbdPU7ttejSu6bS9qL5x0ohpgJcHQ1vVt98whwldmjnl3EIUJUm2hBBCiBLO6ECpeo0G3Ayyv46zeLgp334lJy835UsuRrVtrGjj42yebgYeb2d/w3CT0cBoBe2UOHTZ8fVf9/rPo92oq7DSYf+wuoxrbz+xFKKkkWRLCCGEKOFCq6kvdNGgcjkp/+5EHepWd6hfexX9fExuzBk/oMANnHPSajTMerI/ZRSOWL3aqw3VA/LfpDk/Ok0mfYNO8mrTrbwetpnH6x7A25CKWeEeYEr4e5nYOGWUzY2wgb83kB6IVsHzIkRJU3y7TQohhBBCkfEdm7H68F/q+nQKc1E0pVOjquVoW7sqO89GKO7TLKii6jVGfZvW4Zd/DGHszOXEpeQ/ddHH5MYPT/ajf1hdxcctX8aLNa+MoM/Unzlno2iHXpvJK022M77+Xqp4xed6bFq7VWyNbAPpj4DBOZUuy5fxYvubY9h++hIzNu1n+5nLJJnT8fNwp2/TOjzduRkhFcs65VxCFAdJtoQQQogSrmfjWtStEMDpG7cVtQ/wMjFS9iJyun/2bkv/zxdgf4dSq1d7t3HoPH2b1uHSf59j/h/H+GHbIS5EWpOjoLK+jO3QhBEPNcJLxXTDbLXK+7PnnSeZs+Mw327ez6nrud9PRm0Gy3r+RPeq+Sf2XoY0elfaAsdbQ8gmcA9WHUNB2tetrmoUUIj7har5BdevX+e1116jQ4cONGzYkD/++AOA6OhoXnvtNY4cOeKSIIUQQojSTKvVsPjZIZT18rDb1mTUs3jyELxNbkUQWenSM7QWnzzaTVHbfw3qyMDm9Rw+l6ebkac6hvHH2+O48eVL3PjyJf78vyd4ulMzhxKtbD4mNyZ3a8nRDybw7dg+uR6bEb68wEQrF/NFON0TslIdjkOI0kJxshUREcGgQYNYt24dtWvXJjPz7p4N/v7+HDt2jMWLF7skSCGEEKK0C6lYlm1vjKFVzcoFtqlfqSzrXx1FuzrVijCy0uX5h1uxcNIgGlYpl+/j9SuVZd7TA5jSp10RR6bemPahd6YiBnnHMLz2YeWdU0/D7UUuikyIB4fiaYTTpk1Dq9WycuVK3NzcaNMm99B4eHg4mzdvdnqAQgghhLCqXcGfHW+OZf/F63y/9SBnb9wmy2KhakAZxrYPJTwkqLhDLBUGNq/HwOb12HHmMmuPniM+xYy3u5FuDWvcV6+BRqNh3tMDGP71Utq6/w+dVt0+Ytz8CgJHuyY4IR4QipOtXbt2MXLkSCpWrEhMTN6FlZUqVeLGDeeVAxVCCCFE/poFVaRZUMXiDqPUa1en2n0/imgyGlgyeSjxe99R3zlpN2TEg97H6XEJB6TdgFvfQsxSyIgGrQm82kD5ieDVorijK7UUJ1uJiYmUK5f/kDlAenp6rqmFQgghhBCi5NNqNfi6pYMj+zZnJQCSbBUriwUiXocbn4Hlno3MU89A1Gzw7gi1F4EhsDgiLNUUr9mqWLEiZ8+eLfDxw4cPU63a/X13RwghhBCiVNI5mDA52k84z8UJcP2jvIlWTglb4EQH64iXKFKKk61u3bqxZMkSzpw5c+dnGo11c7m1a9eyZs0aevbs6fwIhRBCCCGEa/n2UN/Hqy3ovJ0fi1Aueinc+kZZ29RTcPE518Yj8lCcbE2YMIEKFSowdOhQXnnlFTQaDTNnzuTRRx/l+eefJyQkhHHjxrkyViGEEEII4QrlnkHljkBQfoJLQhEq3PhSXfvoRZB+yzWxiHwp/qvy8vJi4cKFDB48mGPHjmGxWNi5cycXLlxg+PDhzJ07Fzc32dNDCCGEEOK+41YNAlXcNDc1AP8hrotH2Jdyxjo9UA1LGkTOdkU0ogCKC2SANeF68803efPNN4mOjsZiseDv739nOqEQQgghhLhPBU2H9BsQu9J2O/faUPd30Dq+ubJwgtTTDvY75dw4hE0qx4vv8vf3JyAgQBItIYQQQogHgdYIdX6Fap+CW3Dex3W+UOE5qL8L3KoWfXwiN4uDVcAd7Scconhk68iRI5w6dYqhQ4fe+dmGDRv4/PPPiY2N5ZFHHuHFF190SZBCCCGEKEEsFpCbrQ8mjQ4qvgQVXoC49ZByAsgEYxXw7Qc6j+KOsPS69+/O0YTXKIlyUVKcbP3vf/9Dq9XeSbauXbvGSy+9hMlkwt/fn5kzZ1K9enUGDRrksmCFEEKIXNKjIPJ7uPUdmC9Yf+YWDOWegMAnwVBW2XHSbkDkTIicBebL1gsat1pQ7knrOha9n+t+h/uBJQOil8GtryHhD7CYraMc/oOg/CTwbFLcEQpnit8KN7+C2NWQlQhaD/DpCjo/KNNdEu2iFLfJ+lrErf37tfCyvgblJ0KZLmBqCCnHVBxQA4GPuyxckZfiaYSnTp0iLCzszr9XrVqFxWJh+fLlrF69mrZt27Jo0SKXBCmEEELkETkPDlaFiClg/gvItP5n/gsiXoODVSByrv3j3PwGDlWDK2//nbBlWpOL1FNw+WXrcW4vdvEvU4KlnIEj9eGvoRC/GSypgAUyYyDyOzjWFP4aBVlpxR2pKKyMWDjZFU52tFaty0q0/jwrGWJXwOkecPwhqWZXFDKi4UQ4nOoCMUtyvBaJELMUTnWFE+2h7Gh1x/Xpal1zJ4qM4mQrNjaWsmXv3iHcsWMHLVq0oHz58gB07tyZixcvOj3Akmjp0qXUrVuXunXrcvTo0TyPp6Wl0bJlS+rWrcuUKVMAuHLlyp0+devWpX79+nTu3JmXXnqJS5cu3emb3W727NlF9esIIcT9J+pHOD/67wv/AljMcP5x2wnXzRlw8Rnbm4FmJcNfj1r3syltzBfhZDiknrXd7vaP8NcwsGQVSVjCBTKT4dTDEL/Rdruk3XCykzUxE66RmWhNehO22W6XsMP6WejdQdlx9f4Q9EXh4xOqKE62fHx8iIqKAqzJxOHDh2nevPmdxzUaDWaz2fkRlmBGo5GVK/NW7Nm2bRsJCQkYDIY8j/Xr149PPvmEf/3rX3Tp0oV169YxePBgbt68WRQhCyHE/S8jGi6MV97+wtPWPvdKuwqXJis8SBacHweZScrP+yC4+A9rdTolYpZZL/zE/en6J5C0R1nblBPWkWDhGlf/DckHlbVNOQIeTaGMnU2pDZUgZCOYQgofn1BFcbIVEhLC4sWLOXbsGNOnT8dsNtOuXbs7j1+5coWAgACXBFlShYeHs3r1arKyct/JW7VqFS1btsTd3T1PnwYNGtC/f38GDRrEG2+8wZQpU4iPj2fZsmVFFbYQQtzfImdBVory9pZUiPwh789vfWudLqhUZlzpSiZSL0Ds7+r63PzKNbEI17JkWP8e1IiaU/puPhSFLLN1Haoat3+E2kshZB34PQLo7j7mEQrB30DoGVlbWUwUJ1sTJ04kMjKSIUOG8M0339CmTRsaNWp05/EtW7YQGhrqkiBLqt69e3Pr1i327Ll7JygpKYnNmzfTp08fRcdo2bIlAFevXnVJjEII8cDJL3Gy51Y+Fy+OHEftRdD9LGo2oHJaYNJuSD7uimiEK8X+DunX1fXJjIfoX1wTT2kWswIyotT1ybgNscuhTDeosxRapEBYJDRPgkaHoNx40Hm6Jl5hl+JqhGFhYSxdupQdO3bg7e1Nr1697jwWExND27Zt6datm0uCLKmCgoJo2LAhq1atonXr1gBs3LiRjIwMunfvzscff2z3GBEREQD4+vq6NFYhhHhgZFcdLEwfSwakXSmac9+vHP1dzRfAo4FzYxGuVZjXWjiXw6/Fxbv/rzWAVmElVuFyipMtgODgYIKD825y5+fnx+uvv+60oO4nffr0YcaMGbz99tsYDAZWrlxJ+/btKVOmTL7tU1JSiI6OJjMzk5MnT/LBBx+g0WhKXaIqhBBFy1mlqqXktX3yHJUe8loLYY/iaYQif7169SI+Pp7t27cTExPDrl27bE4hnDZtGg899BDt2rXjqaeeIiEhgffff5/GjRsXYdRCCHEfc6ulvo97zdz/1ujBWL3wx3mQOfI8Q+l6jh4U7g6+1m7yWjudvBYPHFUjW6tWrWLevHlcunSJ2Ni8JT81Gg0nTpxwWnD3g/Lly9O8eXNWrlzJzZs3MRgMdO7cucD2jz32GN27d0ej0eDn50fNmjXzrVoohBCiAOWegEvPq+sT+GT+x1FbUS2/4zyoAsfA1few7l+mkFdbqXZ2PyrzMBirqJtaq/OFgMGui6m08u0DhvKQrqJKtT4Q/Pq7LiZRKIqTre+++47PPvsMX19fQkND8fPzc2Vc95XevXvz0UcfcfnyZTp37ozJZCqwbVBQEG3atCnC6IQQ4gFTdgxEvAFZCiuhaT2sicO9Ap+ylli2KNyMV+cHZYcrjfL+51YN/PpAzHLlfcpPcl08wnU0Oij3DFx5U3mfwLGgLfh6RzhIa7Te1Ln2vvI+5Z609hMlkuJka/78+YSGhjJ79ux8S5qXZj169ODf//43R48eZdIk+aIRQgiX0peBGrOtGw3brZansbbV51OEyFgBgr+F82MUnFQHtX4sfReXQdMh6QCkRdhvG/AYBAxzfUzCNSq+DHFrIWG7/bYeTaDKe66PqbSq/AbEbbBW97THsyVUUpEkiyKneM1WZGQkffv2lUQrH76+vrz99ttMnjw5195jQgghXCRgMNRaCFqvgttovaDWIggYUnCbwMehxhzbSZSuDNRZDr69Cm7zoDJWhvrbwNTQRiONtbR0zbmgkYIJ9y2tG9RdDb59bbfz7gj1NoLOxt+eKBytCULWWqd32lKmu3VvLZ1H0cQlHKJ4ZKt69eokJCS4Mpb72tChQ516vF27dpGcnJzn571796Z6dQcWdQshxIMmYLD1YiNqrnX/K/N5sFjAvQYEPgFlHwe9j/3jBI4Gv74QOdu695b5kjVpcK9tnWpYdkTpvrB0C4JGh62jHje/gsQ/rJtK6wPAfxCUmwCmOsUdpXAGnRfUXQGJ++DW1xC72rqZt9bLuodT+Yng3ba4oywd9GUgZA0k7rb+3cWtte5tpvOxfu6VmwjerYs7SqGA4mRr7NixfP3114waNQpPT9kYzdW2bt3K1q1b8/y8Xr16kmwJIUQ2vQ9U+If1v0Idxw8qvmD9T+Sl0YJvT+t/4sHn1Ry8StEG3iWZVyvrf+K+pTjZ0ul0BAQE0LNnTwYNGkSVKlXQ6XR52g0YMMCpAZZEAwcOZODAgXbb7du3787/V6lShdOnT9vto7SdEEIIIYQQomRTnGxNmTLlzv9//fXX+bbRaDSlItkSQgghhBBCCHsUJ1tz5851ZRxCCCGEEEII8UBRnGy1bNnSlXEIIYQQQgghxANFcen3nNLS0rh58yZpaQo3ghRCCCGEEEKIUkZVsnX8+HFGjx5NWFgYHTt2ZP/+/QDcvn2bxx9/nF27drkkSCGEEEIIIYS43yhOtk6ePMmIESOIiIigf//+uR4LCAjAbDazbNkypwcohBBCCCGEEPcjxWu2Pv/8c8qVK8eyZcswm80sWbIk1+OtW7fm999/d3qAQgghhBCulmmBg6lw2gypFjBpoJE7NHADraa4oxNC3K8UJ1v79+9n/PjxeHp65rtWq1KlSty6dcupwQkhhBBCuNqGRFibCPFZuX++NRnK6qCvN7T2KJ7YhBD3N8XJltlsxtvbu8DHExMTnRKQEEIIIURRmR9rTaoKEpUJs2IhNhN6FHwZJIQQ+VK8ZqtatWocP368wMf//PNPatWq5ZSghBBCCCFcbVuS7UQrp2UJcDTVtfEIIR48ipOtPn36sHz58lwVBzUa6yTmH374ge3bt+cpnCGEEEIIURJZLLBe5aQcte2FEELxNMJx48axc+dOnnjiCWrUqIFGo+HDDz8kOjqaqKgo2rRpw/Dhw10ZqxBCCCGEU5w0w61MdX1Op8H1dKhocE1MQogHj+KRLaPRyKxZs/jnP/+Jm5sbbm5uXLx4ET8/P1555RW++eYbtFqH9kgWQgghhChSf+Wt9aXI+XTnxiGEeLApHtkC0Ov1jBkzhjFjxrgoHCGEEEII10u3ONYvzcF+QojSSYaihBBCCFHqeDp4BeQpe24JIVRQ/FHzxRdf0KdPnwIf79u3L1999ZVTghJCCCGcITETtibBb/Gw+u9qclkyMiGApiZQmzcZNdDQ3SXhCCEeUIqnEa5fv542bdoU+Hjbtm1Zu3YtEydOdEpgQgghhKOiMmBFAuxPgYx7HgvQQSdP6OIJWhmlKLXK6yHECCdVrN1qYQIPmRMkhFBB8UfGlStXqFGjRoGPBwcHc+XKFacEJYQQQjjqSjp8FAW780m0AG5nwuJ4mBkjo1ylXX8fUFpY0FMDPb1cGo4Q4gGk6v5MfHx8gY/FxcWRlZVV6ICEEEIIRyVlwZe3IUHB19GBVGvSJUqvYCM87W+dHmiLlxYmB0CgqrJiQgihItmqXbs2mzZtyvcxi8XCpk2bCA4OdlpgQgghhFo7kyFWxX2/bUmQKPcJS7VG7vB6WWjnAW73JF0eGujqCW+UtSZmQgihluJ7NIMHD+btt99mypQpvPrqq/j7+wMQHR3Nf/7zHw4fPsxbb73lskCFEEIUjfhM2JEMZ9OsZa49NBDqDi097I8AuEpqFvyZAsdSIcVivSgOcYO2Hnerylks1uRJjXSsCdrDpXh62Pk06+sd+fecy7I66/Nay035MdIssDcFDqVAssX6PqllhPYe4KNzTdyFkWWBY2bY/XdyrgOqGOBFf2v8qRYwaaGmsfje8w+ylCz4IxmOm63PtbsG6rlBGw9ZEycePIqTraFDh7Jnzx5+/fVXli9fTmBgIACRkZFYLBZ69erF8OHDXRaoEEII10q3wKI42JWcd63TETMsiYfe3tC1iBOTVQmwLtF6UZZSID3fAAAgAElEQVTTcTOsiIdwTxjkY12LFZmp/vgnzaUz2bqWDrNi4fI9m/SeAXalQBU9jPGDqnYWNW1KhJUJkHTP63PCbH3tHvKAYWXAUEKSlmOpMD/O+n7J6XQabEyC+m4wxhfKlMAk8X5nscBvCbAhCcz3vF+OmWF5AnT0hEe8pXiNeHCoun/w6aefMnXqVDp27Ii3tzfe3t507tyZadOmMXXqVFfFWCyWLl1K3bp1OXnypM12UVFRfPLJJ/Tu3ZsmTZrQuHFjHn74Yd566y2OHDmSq+2XX35J3bp17/zXtGlT+vbty7fffovZbM7TztYaOSGEcKZMC0yPhm35JFrZki3wSzwsK8KPpp9irVUF7020sqVjvXD7NsZ6t9wRqaVwGmFEOnwSlTfRyulKBnwaBRdtVOtbHg8L4/MmWtkysY6afXkbMkpAMZL9Kdb3+b2JVk4nzNbnJs6BxF3YNi8OViXmTbSypVmsN1a+j7EmZkI8CFQv9ezVqxe9evVyRSz3nSNHjjB+/HhSUlLujOwZjUYuXrzIhg0bWLRoEcuXLyckJCRXv/feew93d3cSExNZv349n332GcePH+fzzz8vpt9ECFHarUiwjvAosSYRgg3QxOTamP5ItiZ/ShxMhXIOjkSYStm0pUwLfBVtnY5pT+rfbd8vn3dk6mgqrE5Uds7TafBrPAwuoz5eZ7mdAbNiQEluHZVpveB/sazLwyo1tidZp+wqsS8VgpOKfhRdCFeQujoOiouLY+LEiRgMBhYsWEBQUFCux1966SWWLFmCwZB3/kXPnj3x8fEBYPjw4QwZMoQ1a9Zw8+ZNypcvXxThCyHEHWkW64WQGhuTXJ9sbVB4IZ9tTypU0MENlSMSDVSsTXoQHEiFaBXPUVwW7EuxTgfMaaPK98yOZOjnDcZiSm63JVtHQpU6nWbdRqCK0trwwqZNKt8vm5Ogs+yFJx4ABSZbv/76KwD9+/dHo9Hc+bc9AwYMcE5kJdyCBQuIjIxk2rRpeRItAK1Wy5AhQ+weR6PR0KJFC44ePcrVq1cl2RJCFLn9KQVPAyvImTS4kQ4VXHQhej7NOo1NjZhMa2GHGwrvnoO1+EEbD/vtHiRqi4hk98mZbEVmwCmFI6HZUiywJwXaeao/f2FlWpSPquS0LQmG+zo/ntLmrBmuqfx7jsq0Tuls6O6amIQoKgUmW1OmTEGj0dCrVy+MRuOdf1tsTKLVaDSlJtnavHkz7u7udO3atdDHyt4M2tdXPtGFEEXP1rodWyIyXJdsRTgYk5cWAnS21+Tk1MWz9FU/c+S5vbdPRDo4sqTG0de1sGIyle29di9H/zZEbo6+7hHpkmyJ+1+BydbcuXMBMBqNuf4trM6fP09wcHCeaYKJiYmkpd1dTWwymTCZcs+1iYuLIyMjg6SkJNauXcv69eupU6cONWrUKJLYhRAip0wHF6K7suCBozFpgGcDYFoUxNi5uH7IBP29HTvP/UzlAEO+fRx97R05tzM4WuuiuOJ90Dj6PJaEoipCFFaByVbLli1t/ru0S0xMxMMj79yT5557jh07dtz59z/+8Q8mT56cq829o2GNGzfm008/dU2gQghhh6P7IPm4cETI28GYymihgh7+GQirE2B3St7KZxX11rUgHYphOltJUEZrnaKlxr2vtaNl0V35nrHFS2tNxNVeu5cpZaOeruLo614S92gTQi2nFchYsGABc+fOZfXq1c46ZInm6elJcnLeCeAvv/wyTzzxBMnJyUyaNCnfvtOnT8fDwwODwUClSpWoXLmyq8MVQogCtTBZ90lScyHqo7VuKuwqjdysG50WVPI9Pzqg2d8TCfx0MMIXBvrA4VSIz7J+4VUxQJ1SVhDjXi1M8LvK4iMt7ymGUtsIvlrrhsBqz10cPLXWQijHVK4zK654HzSh7taNyAsq+Z4fPRAmUwjFA8BpyVZMTAwXLlxw1uFKvBo1anDq1CnS09NzTSWsV68egM09slq2bHmnGqEQQhS38nqoa4RTNvZTulc7D9C5sEqYuxZam2CLiqIGTdzzjriYtNC6lBXAsKeDh7V8v9LrXg15RwG1Gmuhi5UJys9bxwiVirGyX7inumTLS3s3eReFY9JaE9cdKv6ew0yOj3ALUZLIALmDOnbsSGpqKuvXry/uUIQQotAGl7HeeVaivK5o9r/p5W0doVLCUwv95R6WIv566KHi9evqCeXyuTXbxdM6JVMJNw0MLubXp6GbdYRFqSE+efcWE47r420dDVXCW2vdJkCIB4EkWw567LHH/r+9O4+Lstz/P/4e9lVxzRRZRCH3BdNcU9HSTFHLo2WuZWnl0mZ66pxfp81vi6WpHTuadizTciHD7JRBZWK55HY01FJRsEwUUZCdmd8fHKZGUAaYm1F5PR8PHg+57+u67s/NNeC8595Ut25dzZ49W0lJSSXWX+mujQBwtWnsLj1aW/Ip483ljW7S9DpF4cZoNV2lx+pIdcsIXDVcpGm1i47QwT5Dakj97LhmrbevdNdlQpKPizStjtSwjJ+7t0l6pLYU7FH+Oh3JxSQ9ECC1KeM0UhdJo2pyRNTRarkW/e2oXcbvc83/va7q8fuM6wQv5TKsXr1adeuWfIT8xIkTtWDBAk2aNEnR0dEaOHCgWrVqJTc3N508eVIbN26UyWRSgwYNKrztd999V56etv8reHt7a/z48RUeEwAuJ9xTeq5+0bOFvssqephtsYZuUi/folP7PKvwY7ob3KRn6xU9I2nzRen3P93Yobar1MOn6IvTjcrv7ppFR3q+uSjtzvnjjn0uKjols5evFFFGMKnlKs2qK/2QLX170fbZaDVc/jc/vvYfoTSah4s0uba0J6eo3j+fOutpkjp7F+13Ix5kbIgb3aW//en3+fSffp/ruBad4trdt+gUTuB6Qdgqw4oVK0pdPnbsWLVv316xsbFatmyZvv32W3322WeyWCy68cYb1alTJ82ZM0dt2rSp8LYXLVpUYllAQABhC4BharpKg2oUncKXWlB0QbuPi3M/ZfZ2KTptMcpXSi2Uss1Fga++a9HRClRcM8+ir4tmKe1/b3xruZbvza6HS9E1XT19i14zWeaih0XXdzP2ur6KcjEVXQ/UwVs6X1j0oYKrit7se/Em33A+LlI/v6LTU08XSjn8PuM6Z7Jc4Xy3ZcuW2T3Q1q1btWXLFiUmJjqkMFROSkqKoqKiFBcXp8DAQGeXAwAAAFxzKvue+oqfVb7yyivlGsxk4iMJAAAAAJDKCFvLly+vqjoAAAAA4LpyxbDVqVOnqqoDAAAAAK4rXAoKAAAAAAYgbAEAAACAAQhbAAAAAGAAwhYAAAAAGICwBQAAAAAGIGwBAAAAgAEIWwAAAABgAMIWAAAAABiAsAUAAAAABiBsAQAAAIABCFsAAAAAYADCFgAAAAAYgLAFAAAAAAYgbAEAAACAAQhbAAAAAGAAwhYAAAAAGICwBQAAAAAGcHN2AQAAVBeFZos2/JKqfaczlG+2qIGvh+666Qbd4OtpV/+8QrPWHz6txLMXVWi2qJG/p+666QbV8fYwuHKgpINnL2rDL6lKz8mXr7uregbVUrfAWs4uC7iqXJdhKyIiQo8++qimTJkiSZo/f74WLFigQ4cOObkyAEB1VGi2aM72JP3zx2SdzMy1WfdU/GENCa+v53s2VVgtn1L75xWaNXvrMS3Zm6LfL+bZrHsy/rDuvukGvdCzqRr5exm2D0CxLcnn9PyWI/rmxLkS61rX89NTt4RoZIsbnVAZcPVx6mmEM2fOVMeOHS+7PiIiQi+99FIVVgQAgGMVmM36yyd79ey3v5QIWpKUb7Zo9cHf1fOD7dp7OqPE+pyCQg1evVsvbT1aImgVrTfrg/2/qcf72/Vz2kVD9gEotubg77p91Y+lBi1J+m9qpsbE7tfzW45UcWXA1alaXLM1efJk7du3z9llAACqoafiDyv259Qy26Vm5St69W6dy8m3WT7pP4mKP55WZv+UjFwNXr1bWfmFFa4VuJJdpy5o3Ib/Kt9sKbPtiwlH9cH+X6ugKuDqVi3Clpubmzw97TsfHgAAR0nNytPiPSl2t/81M1fv7Ttp/f5oepZW/fSb3f2PpGfr48RT5aoRsNfr25KUV1h20Cr2f98fM7Aa4NpwzYSt+fPnKyIiQsnJyZoxY4YiIyMVGRmpWbNmKTs7266+l4qJidGwYcPUtm1bderUSWPHjtXOnTtt2qxdu1ZDhw5VmzZt1LlzZz399NM6c+aMTZs+ffro4Ycf1vbt23XXXXepdevWioqK0ieffGLTLj8/XwsWLNBtt92m1q1bq3PnzrrnnnuUkJBg027Xrl0aP368OnTooHbt2mncuHHav39/eX5cAICrwNK9J8v15lSSFu9JkcVS1Odfu1Nkx0EEG4t2J5evA2CHU5m5Wn/4dLn6HE7LUnzSWYMqAq4N10zYKjZ16lTl5OToiSee0IABA7Ru3TotWLCg3OPMnTtXM2fOlLe3t6ZPn66HH35YAQEBNmFrwYIFevbZZxUWFqZZs2Zp1KhRiouL05gxY5STk2MzXlJSkqZPn67u3btr5syZqlGjhmbOnKmff/7ZZrxFixapV69e+vvf/66HHnpIDRo00IEDB6xttm7dqjFjxigvL09Tp07VtGnTdOrUKd1333365ZdfKvATAwA4iz2n/13ql3PZSjqfU+H+u05llDgVEaiszcnn7Dp98FJxFXgNA9eTa+5uhK1bt9bzzz9v/T49PV1r1qzRU089ZfcYSUlJeuedd9S/f3+9+eabcnEpypzjxo2zfpqYkpKit99+W0899ZQmTJhg7duzZ0+NHDlSMTExuueee6zLjxw5opUrV6pDhw6SpAEDBujWW2/VunXr9PTTT0uSvvnmGw0fPlx//etfS63LbDbrueeeU/fu3bVo0SLr8rvvvlsDBgzQwoUL9eabb9q9nwAA58rMK6hYv/yC//Wv2PVXmXmFquXlXqG+QGkuVvC1WNF+wPXimjuyNXLkSJvvO3bsqPT0dGVmZto9xldffSWz2axHHnnEGrSKmUwmaxuLxaJ+/fopLS3N+hUUFKR69epp+/btNv0iIiKsQUuSateurdDQUCUn/3E6R40aNbR3716dOlX6+fQHDx7U8ePHNXDgQJtt5ufnKzIyssQ2AQBXtxoeFftMs7hfDU/XCvWv6XnNfZaKq5x/BV9TFe0HXC+u+t+A4vBT7MYbbZ/bUKNGDUnS+fPn5efnZ9eYycnJcnV1VZMmTS7bJikpSWazWX379i11fVqa7WHxhg0blmhTs2ZNnT9/3vr91KlT9fDDD6tXr15q0aKFevTooUGDBqlp06bWbUrSk08+Weo2Lw2GAICrW/+wuuU+japFXV8F1/Qu6t+krnadKnk7+Cvp2ihANXiDCwfrHVxLXm4uyikwl6vfgCZ1DaoIuDY49a+xh4eHcnNLPnNEkvWmF5feRdDVtfRP+YpP/3MUs9ksV1dXLV68uETgk/4IecXsCUI333yzNm3apPj4eCUkJGjlypVasmSJnn/+ed11113WfZg1a5bCw8MdsyMAAKcZ27qh/t93vygr3/43qJPaN7b+e2K7QL36Q5IKynGtzEMdAstVI2CPOt4eGn7TDXp/v/13x2xT309dAwMMrAq4+jk1bDVs2FB5eXlKSUlRYKDtfw7Hjh2ztnG0oKAgFRYW6ujRo5cNNcVtgoODS9RWGQEBARo2bJiGDRumrKwsjR49Wm+99ZbuuusuNW5c9B9sjRo11LVrV4dtEwDgHAFe7praMdjuW2CHBXjrvlZ/nMHRyN9LD7RtpEW77bt9fKt6fror4oYK1QqU5YnOIVp36LQu2vEsN5Okv3ULM74o4Crn1PPSevbsKUlasWJFiXUffvihXFxc1L17d4dvNyoqSi4uLlqwYIHMZttPG4uPLvXr108uLi5auHBhif5ms1np6enl3u65c7ZPW/fx8VFISIj16F7Lli3VuHFjLV26tNTb2V966iIA4Or3jx5hGtOq7A8Og2t4KfYvHeR3yXVeb/SN0NDw+mX2D6/to0/vbi8PV045hzFa1PXTx0Pbytf9ytcSmlT0uo2243ULXO+cemSrRYsWGjZsmJYuXapjx46pS5cuMpvN+u6775SQkKAJEyZYj/Y4UkhIiCZOnKh33nlHo0ePVt++feXq6qo9e/YoPDxckyZNUnBwsKZOnaq5c+cqOTlZvXv3lre3t5KTk/XFF19o8uTJGj58eLm2O3DgQN18881q1aqVAgICtH//fm3cuFGjRo2SVHSK5AsvvKAHH3xQgwYN0pAhQ1S/fn2dOnVKCQkJCgoK0muvvebwnwcAwDgmk0lLBrZU18CaWvBjsvan2t7Qqaanm+5rdaOeviVUDfw8S/R3c3HRyiFttGhXst7elazDaVk26+t4u2ts64aacUuoantzB0IYq19oHX173836v++Paf3h0za3gzdJ6h1cW090DlG/0DrOKxK4ijj9CtqXXnpJERERWrdunebMmSOTyaSwsDA9//zzGjFihGHbffzxxxUYGKgVK1bojTfekI+Pj5o3b66bb77Z2mby5MkKDg7W8uXLNX/+fJlMJjVs2FB9+/at0Gl+o0ePVnx8vLZu3aq8vDw1bNhQ06ZN0/33329t06VLF61atUoLFy7U+++/r6ysLNWvX1/t27cvcSdGAMC1Y0LbQE1oG6itKen6b2qG8gotusHXQwPD6snX48pHClxMJj0cGaSHI4P07Yk0JZ65qAKzRQ39PXVHWF15uVXsroVARbSp768Po9voVGauvjx2Vudy8uXn7qrujWspoo6vs8sDriomi6PvLIGrQkpKiqKiohQXF+fQa84AAACA6qKy76k5sRsAAAAADEDYAgAAAAADELYAAAAAwACELQAAAAAwAGELAAAAAAxA2AIAAAAAAxC2AAAAAMAAhC0AAAAAMABhCwAAAAAMQNgCAAAAAAMQtgAAAADAAIQtAAAAADAAYQsAAAAADEDYAgAAAAADELYAAAAAwACELQAAAAAwAGELAAAAAAxA2AIAAAAAAxC2AAAAAMAAhC0AAAAAMICbswsAAKA0FotZhWd/kTnnvExunnKtFSoXT39nl1VtFaafkPliqmRykUuNRnL1q+/sklCNWcyFKjz7s8y5GTK5ecmtTphM7j7OLgsogbAFALiqmPMuKvfgBuUe2ihz5qk/Vrh6yqPJrfJqMURutcOcV2A1YjEXKu9IvHIOxqrwzKE/Vphc5N6oozybD5ZH4M3OKxDVjjnngnIPxhb9fcg688cKN295hvWWV4uhcg0Icl6BwCUIWw60ZMkSvfbaa7rlllv073//22ZdSkqKoqKiSu3XvXt3vfvuu5Kk0aNH68KFC1q/fr3h9QLA1aYw83dlfPlXmc+nlLIyV3k/f6m8I/Hy7faYPJv2rfoCqxFLQY4y419U/skdpaw0Kz9lu/JTtsuzxVD5dp5U9QWi2ik8n6yML5+ROfP3kisLspV7aKNyf/lKfrfOlEdwt6ovECgFYcuBYmNj1ahRI23fvl2nT59W/folT7EYPHiwunfvbrOstHYAUN2YczOV8cVfZb5QStCyaVigi1vmyOTpL4/GnaumuGoo89v/Kz1oXSL3pxiZPHzl0350FVSF6sqcnV709+Hi6Ss3LMxT5jez5X/7bLk3aF01xQFXwA0yHOSXX37RwYMH9fe//13e3t7auHFjqe1atmyp6Ohom68uXbpUcbUAcPXJPfRZ2UGrmMWsrB1LjC2oGsv/ba/yT3xvd/ucfR/JnJNuYEWo7nIOrCs7aBUz5ytr57vGFgTYibDlILGxsapbt6569OihqKgoffrpp84uCQCuGRaLWbmHPitXH/P5E8r/bY9BFVVvuQdjy9fBnK/cw/8xphhUe5bCPOX+XL7XV2FqogrO/GxQRYD9CFsOsmHDBt1+++1ydXXVwIEDdeDAAR07dqxEu+zsbKWlpdl8FRQUOKFiALh6FJ45XPp1GGXIS/rOgGqqN4u5UHnlOKpVLO8YcwFjFJz6ryw558vdj78PuBoQthxg165dSklJ0R133CFJ6tatm2rWrKnY2JKfDM6dO1ddunSx+UpMTKzqkgHgqmKuwBspSRV6A4Yrs+RdlMzl/xDQkstcwBgV/vvAaxJXAW6Q4QAbNmzQDTfcoMjISEmSu7u7+vXrpw0bNmjq1Kk2be+55x7ddtttNstCQ0OrrFYAuBqZXD0r1rGi/XBZJjePinVkLmAQkyuvSVy7CFuVVFBQoM8//1zdunXTiRMnrMvbtWunNWvWaN++fWrTpo11eUhIiLp27eqMUgHgquVau4nk6iEV5pWrn1u9CIMqqr5Mbl5yDQhRYXpSufoxFzCKa91wyeQiWczl6sdrElcDwlYlJSQkKC0tTbGxsaWeNhgbG2sTtgAAJbl41ZBHSA/lHYmzv5ObN8/aMojnTXcq64cF5e4DGMHVr77cAzspP/kHu/uYvGrKI6SHgVUB9iFsVVJsbKwaNGigWbNmlVi3fv16ff7555o5c6YTKgOAa4tXi6HKO/qNZCm0q71nxACZ3H2MLaqa8mwapew9H8hi5+3c3eo1l3v9FgZXherMq9Vdyk/eJsliX/vmgyt++iHgQIStSsjOzlZcXJyio6PVv3//Euu9vLwUHx+vH374QcHBwU6oEACuHW51m8m36zRd3Dq3zNOF3BpGyqfj/VVUWfVjcveRf99/KOOLWbLkZ12xrYv/jfLr87cqqgzVlXuDNvLp9KCytr9TdtvgbvJqe28VVAWUjbBVCXFxccrKylLv3r1LXX/LLbfIy8tLsbGxevTRR+0e9+zZs3r77bdLLA8LC9Ptt99e4XoB4GrnGX67TJ7+ytq5ROYLJ0s2cPOSZ3h/+XR8QCYX/gszklu9m+R/xxxlfT9fBad/KtnA5CL3xl3k23WqXLwDqr5AVDteLYfJ5BWg7F3vlfqoCJO7jzybD5J3+7EymbjhNq4O/E9VCRs2bJC3t7duueWWUtd7eXmpS5cu2rRpkyZOnGj3uKmpqZo3b16J5bfffjthC8B1zyO4q9yDuqjg113KS/pO5twLMrl6yK3eTfJo2k8uHr7OLrHacKvdRDUGvqmCtCPK/XmTzFlnZDK5yKVmoDyb9ZerX31nl4hqxjOsjzya9FJ+ynblHd8qS26mTG6ecruhpTzDomRy93Z2iYANk8Vise/kV1xTUlJSFBUVpbi4OAUGBjq7HAAAAOCaU9n31BxjBQAAAAADELYAAAAAwACELQAAAAAwAGELAAAAAAxA2AIAAAAAAxC2AAAAAMAAhC0AAAAAMABhCwAAAAAMQNgCAAAAAAMQtgAAAADAAIQtAAAAADAAYQsAAAAADEDYAgAAAAADELYAAAAAwACELQAAAAAwAGELAAAAAAxA2AIAAAAAAxC2AAAAAMAAhC0AAAAAMABhCwAAAAAMQNgCAAAAAAO4ObsAAAAARyk4+4vyj30jS26GTJ7+cg/tJbc6TZ1dFoBqirAFAACueXlJW5T9/VzlH99SYp17cHd5d50uj+DuTqgMQHXGaYQOtm7dOkVERCgxMdG6LD4+Xvfdd5+6dOmitm3bKioqStOmTdPmzZtL9M/IyNBbb72lQYMGqV27dmrbtq0GDx6sN998U2lpaVW5KwAAXBNy9q3UhY9GlBq0JCn/+BZdWDVCOftWVXFlAKo7jmwZ7N1339Wrr76qTp066aGHHpKXl5eOHz+u77//Xhs3blTPnj2tbY8fP67x48fr999/14ABAzRy5Ei5ubkpMTFRH374oRISErRmzRon7g0AAFeXvONblPn5k5Kl8MoNLYXK/PwJudQM5AgXgCpD2DJQQUGB3n77bfXo0UNLliwpsf7s2bM2bR999FGdO3dOK1asULt27WzaPvbYY1q+fLnhNQMAcC3J3jq37KBVzFKo7K3zCFsAqgynERro3LlzyszMVGRkZKnr69SpY/33F198ocOHD2vy5MklgpYk1axZU1OmTDGsVgAArjUFZ3++7KmDl5N/fIsKzv5iUEUAYIuwZaA6derIy8tL8fHxOn/+/BXbxsfHS5IGDx5cFaUBAHDNyz/2bQV6WZR/7BtHlwIApSJsGcjFxUX333+/9u3bp169eunBBx/UO++8o59++qlE26NHj8rf318NGjRwQqUAAFx7LLkZFeuXl+ngSgCgdIQtg02dOlVz5sxR8+bN9d133+mNN97Q0KFDNWzYMB09etTaLjMzU76+vk6sFACAa4vJ079i/Tz8HFwJAJSOsFUF7rzzTn344YfasWOHli5dqjvvvFMHDhzQ5MmTlZeXJ0ny8/PTxYsXnVwpAADXDvfQXhXoZZJHk96OLgUASkXYqkJ+fn7q1q2b5syZo6FDhyopKUl79+6VJDVp0kQZGRk6deqUk6sEAODa4FanqdzLeWdB9+Ducq0dZlBFAGCLsOUkrVq1kiSdPn1aktSrVy9J0qeffuqskgAAuOZ4d50umVzta2xylXfXacYWBAB/QtgyUHZ2tnbv3l3qus2bN0uSQkNDJUn9+/dXs2bNtGjRIu3bt69E+wsXLmjBggXGFQsAwDXII7i7/Aa8XnbgMrnKb8AcnrEFoErxUGMDZWdna+TIkWrXrp169OihBg0aKCMjQ1999ZV27typvn37qkWLFpIkd3d3zZ8/XxMmTNC9996rAQMGqH379nJzc9OhQ4e0YcMGBQUF6dFHH3XyXgEAcHXxanOPXGo2VvbWeco//t0la01yD+4u767TCFoAqhxhy0A1atTQiy++qG+++Ubr1q1TamqqXF1dFRoaqhkzZmj06NE27UNDQ/XJJ59o2bJl+uqrr/Tll1/KYrEoJCREo0aNKtEeAAAU8QjuLo/g7io4+4vyj30jS16mTB5+cg/tJbc6TZ1dHoBqymSxWCzOLgKOl5KSoqioKMXFxSkwMNDZ5QAAAFS4E1IAABpNSURBVADXnMq+p+aaLQAAAAAwAGELAAAAAAxA2AIAAAAAAxC2AAAAAMAAhC0AAAAAMABhCwAAAAAMQNgCAAAAAAMQtgAAAADAAIQtAAAAADAAYQsAAAAADEDYAgAAAAADELYAAAAAwACELQAAAAAwAGELAAAAAAxA2AIAAAAAAxC2AAAAAMAAhC0AAAAAMABhCwAAAAAMQNgCAAAAAAMQtgAAAADAAG7OLgAAAEc59NtZfbn/iDKyc+Xv7anbWoUp4sY6zi4LAFBNEbYAANe8r386ptkbEvR1YlKJdb2bh+ivg7qrV/OQKq8LAFC9Ebb+5Pjx41qyZIkSEhJ0+vRpeXp66qabbtLAgQN19913y8PDQ3369NHJkyclSS4uLvLz81PDhg0VGRmpESNGKCIiwmbMlJQURUVFWb93d3eXv7+/QkND1bVrV40cOVJ169a16bNu3TrNmjVLn3zyiZo3b278jgPANey97/Zo0nufqdBsKXX914lJ2nzouN4Zf6fGdm9bxdUBAKozwtb/xMfHa/r06fL29lZ0dLSaNWumnJwc7dixQy+++KJSUlI0Y8YMSVLLli01duxYSVJmZqYOHTqkDRs2aNWqVXrsscc0ceLEEuMPHjxY3bt3l8Vi0blz57R7924tWrRIy5cv19y5c9W1a9cq3V8AuB58k5h0xaBVrNBs0UPLNii4Tk2OcAEAqgxhS9KJEyf0xBNPqHHjxlq+fLnq1Pnj/P7Ro0frl19+0Y4dO6zLGjRooOjoaJsxnnjiCU2ePFmvv/66mjZtqt69e9usb9mypU2f8ePH6/Dhwxo/frymTp2qzz77TDfccINBewgA16eXY7eUGbSKFZotmr1hC2ELAFBluBuhpCVLligrK0svvfSSTdAq1rRpU91zzz1XHKNmzZp644035O7urnfeeceu7YaHh+uZZ55RRkaGVqxYUaHaAaC6OvjbmVKv0bqSrxOTdOi3s8YUBADAJQhbkr7++msFBQWpXbt2lRqnQYMGuvnmm7V3715lZmba1adfv37y8vJSQkJCpbYNANXNpv1Hy93HYpE2HSh/PwAAKqLah63MzEydPn1azZo1c8h4TZs2ldlsVkpKil3t3d3dFRISouTkZIdsHwCqi4zs3CrtBwBAeRG2/ncEytfX1yHj+fj4SJIuXrxYrj7laQ8AkPy9Pau0HwAA5VXtw5afn5+k8oWjK8nKypJUvvCWlZXlsLAHANXFba3Cyt3HZJJua9XEgGoAACiJsOXnp3r16unnn392yHg///yzXF1dFRgYaFf7/Px8JSUlKSgoyCHbB4DqIuLGOupdzjsL9m4eovAGJW+EBACAEap92JKk3r1768SJE9q7d2+lxjl16pR27Nihtm3bWo+YlWXTpk3KyclRt27dKrVtAKiO/jqou1xdTHa1dXUxadad3Q2uCACAPxC2JD3wwAPy9vbWs88+q7S0tBLrjxw5olWrVl1xjAsXLujxxx9XQUGBJk2aZNd2Dx8+rJdfflk1atTQqFGjKlQ7AFRnvZqHaNG4gWUGLlcXk94ZfyfP2AIAVCkeaiwpODhYr7/+uh577DENGDBAQ4YMUdOmTZWbm6sff/xRX375pcaNG2dtf+rUKa1fv15S0bVehw4d0n/+8x9lZGTo6aef1q233lpiGwcOHND69etlsViUnp6u3bt3Ky4uTr6+vnrrrbdUv379En1Wr16tunXrllg+ceJEubu7O+4HAADXsHE92imkboBmb9ii+J+SbNaZTEWnDs66sztBCwBQ5UwWi8Xi7CKuFkePHtW7776r77//XqdPn5anp6eaN2+uQYMGadiwYXJ3d1efPn108uRJSZKLi4t8fX3VqFEjdezYUSNGjFB4eLjNmCkpKYqKirJ+7+bmJn9/f4WGhqp79+4aOXJkiQcpr1u3TrNmzbpsnbt27SrzhhrF242Li7P7+jEAuNYd+u2sNh04qozsXPl7e6pfyyaKuJFrtAAAFVPZ99SEresUYQsAAAConMq+p+aaLQAAAAAwAGELAAAAAAxA2AIAAAAAAxC2AAAAAMAAhC0AAAAAMABhCwAAAAAMQNgCAAAAAAMQtgAAAADAAG7OLgDGKCwslCSdOnXKyZUAAAAA16bi99LF763Li7B1nUpNTZUkjRo1ysmVAAAAANe21NRUBQcHl7ufyWKxWAyoB06Wk5Oj/fv3q169enJ1dXV2OQAAAMA1p7CwUKmpqWrVqpW8vLzK3Z+wBQAAAAAG4AYZAAAAAGAAwhYAAAAAGICwBQAAAAAGIGwBAAAAgAEIWwAAAABgAMIWAAAAABiAsAUAAAAABiBsAQAAAIABCFsAAAAAYAA3ZxcAXI327dunmJgYbdu2Tb/++qsCAgLUvn17TZ8+XcHBwTZtd+3apddee00//fST/Pz8NGDAAD3xxBPy9va2aZeXl6d58+Zp/fr1unDhgm666SY99thj6tKlS4nt2zsmKs/Zc10sMzNTt99+u86cOaOFCxeqb9++huxvdebMuTabzfroo4+0cuVKJScny9fXV61atdIjjzyi1q1bG77v1Ymj5/n06dNavny59u7dq/379ysrK0vLly9X586dbcY6d+6c1q5dq/j4eB09elQFBQUKCwvTuHHjNGDAgCrZ9+rGWXNdLCMjQwsXLtQXX3yh1NRU1alTR5GRkXrjjTcM3e/qxtHzXJ7x7B3zSkwWi8VSuR8BcP2ZOnWqdu3apf79+ysiIkKpqalasWKFsrKytGbNGoWFhUmSEhMTNWLECDVt2lTDhw/XqVOntHTpUnXr1k2LFi2yGfPxxx/Xl19+qTFjxig4OFgxMTHav3+/3n//fbVv397arjxjovKcOdd/9sorr2jVqlXKysoibBnEmXP9yiuvaOnSpRo8eLA6duyo8+fPa9WqVUpNTdW6devUrFmzKv1ZXM8cPc/btm2zzm/t2rW1e/fuUt+Af/3115oyZYp69uypzp07y83NTV988YW2bdumqVOn6pFHHqnSn0N14Ky5lqQLFy5o1KhRunDhgoYPH64GDRooNTVVO3bs0NKlS6vsZ1AdOHqe7R2vPGNekQVACT/++KMlNzfXZtmxY8csrVq1sjz99NPWZQ888IClR48elszMTOuyjz/+2BIeHm7ZunWrddnevXst4eHhlmXLllmX5eTkWPr27Wu59957bbZj75hwDGfOdbGjR49aWrZsaZk/f74lPDzcsmnTJgftHf7MWXNdWFhoadeunWXKlCk22z506JAlPDzcMm/ePEftIiyOn+eMjAxLWlqaxWKxWDZt2mQJDw+3/PDDDyW2e+LECUtKSorNMrPZbBkzZoylTZs2luzsbIfsH/7grLm2WCyWv/3tb5Y+ffpY28M4jp5ne8crz5hXwjVbQCk6dOggDw8Pm2UhISFq1qyZjhw5IqnotK+tW7dqyJAh8vX1tbaLjo6Wj4+PPv/8c+uy//znP3J3d9fw4cOtyzw9PXX33Xfrxx9/1OnTp8s9JhzDWXP9Z7Nnz1bv3r118803O3r38CfOmuuCggJlZ2erbt26Ntsu/t7Ly8uxO1rNOXqe/fz8VKtWrTK327hxYzVq1MhmmclkUt++fZWTk6OTJ09WZrdQCmfN9YULFxQTE6P7779ftWrVUm5urvLy8hy0V7iUo+fZnvHKO+aVELYAO1ksFp05c8b6h/jQoUMqKChQq1atbNp5eHioefPmSkxMtC5LTExUaGiozS+rJLVp00YWi8XatjxjwjhVMdfFvv32W23dulVPPfWUQXuDK6mKufbw8FC7du0UExOjTz/9VL/99psOHjyoZ555RvXq1dOQIUMM3ktUZp4r68yZM5Jk15t4VF5VzPXOnTuVl5enunXraty4cWrbtq3atWunCRMm6MSJEw7ZD1yZo+f50vEcMWYxwhZgp08//VS///679ULn1NRUSVK9evVKtK1Xr57NEYzU1FTVr1+/1HaSrG3LMyaMUxVzLUn5+fl6+eWXNXr0aAUFBTl0H2CfqprrV155RaGhoXrqqafUq1cvRUdH6+jRo1q5cmWpY8CxKjPPlZGenq7Vq1erU6dOql27tkPGxJVVxVwXB6q//e1vcnV11RtvvKEZM2Zo3759Gjt2rDIzMyuxB7CHo+f50vEcMWYx7kYI2OHIkSN6/vnnFRkZqejoaElSTk6OJJU4FC0VnUpUvL64rbu7e6ntJCk3N7fcY8IYVTXXkrR8+XKdP39ekydPdug+wD5VOdd+fn5q1qyZOnTooM6dOys1NVWLFy/WpEmTtGLFCgUEBDh03/CHys5zRZnNZj355JPKyMjQs88+W+nxULaqmuuLFy9KKnrDvXjxYrm4FB27CA0N1YMPPqi1a9dq7NixFd0NlMHR81zaeJUd8884sgWUITU1VQ899JBq1qypefPmWf+oFl9nUdp52rm5uTbXYXh5eSk/P7/UdtIfb87KMyYcryrn+syZM3r77bc1ZcoU1ahRw+H7giuryrkuKCjQuHHjVLNmTT377LPq16+f7r33Xi1btkzHjx/XsmXLHL5/KOKIea6oF154QVu2bNHs2bMVERFR6fFwZVU518V9+vfvb92OJN16662qWbOmdu3aVZFdgB0cPc+XG68yY16KI1vAFWRkZGjixInKyMjQypUrbQ4lF/+7+DDzn116etHlDjcX9y1uW54x4VhVPdeLFi2Sv7+/unfvrpSUFEl/XNtx9uxZpaSkqFGjRjKZTA7aQxSr6rnesWOHDh8+rGeeecamXUhIiJo0acIbM4M4ap4rYsGCBfrwww81Y8YM3XnnnZUaC2Wr6rkuHvPSm95IUu3atXXhwoVyj4myOXqerzReRccsDUe2gMvIzc3VpEmTlJSUpHfeeUdNmjSxWR8eHi43Nzft37/fZnleXp4SExPVvHlz67KbbrpJx44ds556UGzv3r3W9eUdE47jjLn+9ddf9dtvv+m2225TVFSUoqKi9Pjjj0uS/v73vysqKoq7WxnAGXN99uxZSUWnlV2qoKBABQUFld8x2HDkPJfXihUrNH/+fI0bN073339/hceBfZwx1y1btpQk/f777zbLzWazUlNTuT7PAI6e57LGq8iYl0PYAkpRWFio6dOna8+ePZo3b57atWtXoo2/v7+6dOmi9evX27zZWr9+vbKystS/f3/rsv79+ys/P1+rV6+2LsvLy9O6devUoUMH3XDDDeUeE47hrLl+6KGHtHDhQpuvadOmSZIefPBBLVy4sNTrgVBxzprrkJAQSdJnn31ms60DBw7o2LFjatGihSN3s9pz9DyXx8aNG/Xiiy9q0KBBmjlzZoX3AfZx1lyHhYUpPDxcsbGxNtdmbty4UZmZmerSpUvFdgilcvQ82zNeece8EpPFYrHYu7NAdfHSSy9p+fLl6t27t82daSTJ19dXffv2lVT0ZmnkyJFq1qyZ9cniy5YtU+fOnbV48WKbftOmTVNcXJzGjh2roKAgxcTEaP/+/fr3v/+tyMhIa7vyjInKc+ZcX2rbtm0aM2aMFi5caN0uHMeZcz1hwgQlJCTo9ttvV5cuXZSamqoPPvhABQUFiomJUXBwsPE/gGrCiHl+++23JRVdSL9hwwbdddddCgwMVI0aNXTfffdJkvbt26d7771X/v7+evLJJ+XmZnulRrdu3Uo97QwV56y5lqSEhARNnDhRzZs3V3R0tFJTU/Xvf/9bYWFh+uijj0q9qQIqxtHzbO945RnzSghbQClGjx6t7du3l7quUaNGio+Pt36/c+dOvf766/rpp5/k5+enO+64Q48//rh8fHxs+uXm5mru3LmKjY3V+fPnFRERoccff1xdu3YtsQ17x0TlOXuu/4ywZSxnznVOTo7effddbdy4USkpKfLw8FBkZKSmT59uPd0QjmHEPF/uBhd/Hm/dunWaNWvWZetavny5OnfuXN7dwRU4a66Lbd68WfPnz9ehQ4fk4+OjqKgoPfnkkzxTzcEcPc/lGc/eMa+EsAUAAAAABuCaLQAAAAAwAGELAAAAAAxA2AIAAAAAAxC2AAAAAMAAhC0AAAAAMABhCwAAAAAMQNgCAAAAAAMQtgAAAADAAG7OLgAAAEdJTk7Wv/71L+3YsUO//fabPDw8VLduXbVp00ZDhw7VLbfcYm07f/58NW/eXH379jWsnsTERH311VcaOnSoAgMD7eozf/58LViwwPq9u7u7/Pz8FBQUpHbt2mnYsGG66aabKlXXV199pcTERE2ZMqVS4wAAroywBQC4Lvz3v//V6NGj5ebmpiFDhqhp06bKycnR8ePHlZCQIF9fX5uwtWDBAg0dOtTwsLVgwQJ16tTJ7rBVbOrUqQoMDJTZbNb58+d18OBBrVmzRsuXL9f48eP19NNPV7iur776SjExMYQtADAYYQsAcF1YuHChsrOztX79+lKP/KSmplZZLZmZmfLz86vUGD179lTr1q1tls2cOVPTpk3T0qVLVatWLT344IOV2gYAwFgmi8VicXYRAABUVv/+/XXu3Dlt27btiu1SUlIUFRVV6rpDhw5JkjZu3KhPP/1UBw8e1JkzZ+Tr66vIyEhNnTq1RJDr06ePGjVqpFmzZmnOnDnas2ePatasqaFDh9qcDlhs6NCh+r//+7/L1ld8GuGaNWtKhC1JSk9PV1RUlEwmkzZv3iwfHx9J0r59+/Thhx9q9+7dOnXqlFxcXBQREaH7779f/fr1s/YfPXq0tm/fXmLc2bNna9iwYZKk06dPa+HChfr222915swZBQQEqHfv3po+fbrq1Klz2doBALY4sgUAuC4EBQXp2LFj+vLLL3Xbbbddtl3t2rX16quvasaMGerYsaP+8pe/lGjzwQcfKCAgQH/5y19Ur149nThxQh9//LHuuecexcTEKCQkxKb9r7/+qrFjx6p///667bbblJWVpS5duig1NVUfffSRJk2apCZNmljrrIyAgAD169dPMTEx+vHHH9WjRw9J0qZNm3T06FH1799fjRo1Unp6umJiYvToo4/q9ddf16BBgyRJkyZNktls1s6dO/Xqq69ax+3QoYN1X0aMGKH8/HzdfffdCgoK0vHjx7Vy5Upt27ZNa9eulb+/f6X2AQCqC8IWAOC6MHnyZG3dulVTpkxRSEiIOnTooNatW6tz584KCwuztvPx8VF0dLRmzJihxo0bKzo6usRYS5YssR4xKjZkyBBFR0frvffe03PPPWezLiUlRS+++KKGDx9us7xdu3b66KOP1LVrV3Xu3Nlh+xoRESFJSkpKsoatyZMn64knnrBpN3r0aA0ZMkT//Oc/rWGrW7duio2N1c6dO0vd9xdeeEEFBQX65JNP1KBBA+vy/v37a8SIEXrvvfe41gsA7MSt3wEA14X27dtr7dq1Gjp0qDIyMrRu3Tr94x//0B133KFRo0YpOTnZ7rGKg5bFYlFmZqbS0tJUq1YthYaGat++fSXaBwQEWE/BqwrF14NlZmZal/05HGZnZ+vcuXPKzs7WLbfcoiNHjti0vZyMjAx988036tOnjzw8PJSWlmb9atSokYKCgpSQkOD4HQKA6xRHtgAA142IiAjr9VAnT57Ujh07tHr1au3cuVMPP/yw1q5dKw8PjzLH+emnnzRv3jxt375dWVlZNutKu6tg48aN5erq6pidsENxcPrzTTjOnj2ruXPnKi4uTmfPni3R58KFC2XetOPYsWMym81as2aN1qxZU2qbxo0bV6JyAKheCFsAgOtSo0aN1KhRI0VHR+vee+/Vrl27tG/fPnXs2PGK/X799VeNGjVKfn5+mjx5spo0aSJvb2+ZTCa9/PLLJcKXJHl7exu1G6UqvpFHaGiopKIjcBMmTNCRI0c0ZswYtWrVSv7+/nJ1ddXatWu1YcMGmc3mMsctvmfW4MGDNXTo0FLbeHp6OmgvAOD6R9gCAFzXTCaT2rZtq127dun06dNltt+0aZOysrL0z3/+0+a5XFLRnQDtOTL25207Wnp6ujZt2iR/f39FRkZKKgpfBw8e1COPPKKpU6fatF+9erXddQUFBclkMik/P19du3Z1eO0AUN1wzRYA4LqQkJCggoKCEstzcnKs1xldeqOM9PT0Eu2LTwe89MkoH3/8cbmf1VV8HdX58+fL1e9y0tPTNW3aNGVmZmrSpEnWI2ouLkX/nV9a8+HDh7Vp06bL1nXp/teqVUu33nqrNm3apD179pToZ7FYlJaW5pB9AYDqgCNbAIDrwuzZs5Wenq4+ffooPDxcXl5eOnXqlGJjY5WUlKQhQ4ZY7+InFd0p8Pvvv9e//vUvNWzYUCaTSQMHDlTPnj3l7e2tGTNm6L777lONGjW0a9cubd68WUFBQSosLLS7ptatW8vFxUWLFi3S+fPn5ePjo8DAQLVt27bMvps3b9bRo0dlsVh0/vx5JSYmatOmTbp48aLuv/9+PfDAA9a2YWFhatasmZYsWaKcnByFhobq2LFj+uijjxQeHq4DBw7YjN22bVt98MEH+sc//qFbb71V7u7uatOmjRo3bqznnntO9957r+677z5FR0erRYsWMpvNSk5OVlxcnIYMGcLdCAHATjzUGABwXdiyZYvi4uL0448/6vfff1dGRob8/f0VHh6u6OhoDRs2zHoESCq6bfrzzz+vPXv26OLFi5L+uBZqx44deuONN3Tw4EG5urqqQ4cOevLJJ/XCCy/o5MmTio+Pt45T/FDj999/v9S6YmJitHjxYp04cUL5+fl2P9S4mLu7u3x9fdW4cWN16NBBw4YNK/FgZanohiCvvPKKtm/fruzsbDVr1kwPPfSQDh48qAULFiguLs56cw+z2azXXntNn332mVJTU2U2m20eapyWlqbFixcrPj5ev/76qzw9PXXjjTeqc+fOGjlypJo2bWrvtABAtUbYAgAAAAADcM0WAAAAABiAsAUAAAAABiBsAQAAAIABCFsAAAAAYADCFgAAAAAYgLAFAAAAAAYgbAEAAACAAQhbAAAAAGAAwhYAAAAAGOD/AzqkoB+arFd6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "licensetime_df = apa_df.dropna(subset=['license_license_group'])\n",
    "licensetime_df = licensetime_df.dropna(subset=['vcs_first_commit'])\n",
    "licensetime_df['license_license_group'] = licensetime_df['license_license_group'].astype(str)\n",
    "\n",
    "fig = plt.figure(figsize = (13, 8))\n",
    "#plt.yticks(rotation=90)\n",
    "sns.set(font_scale=1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"vcs_first_commit\", y=\"license_license_group\", data=licensetime_df)\n",
    "plt.xlabel(\"Start Date\")\n",
    "plt.ylabel(\"License Group\")\n",
    "#plt.title(\"Start Date / License Group\", weight='bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "common_license_df = licensetime_df.loc[~licensetime_df['license_license_group'].isin(['Unlicense', 'AFL', 'ISC', 'CDDL'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'License Group')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (13, 8))\n",
    "#plt.yticks(rotation=90)\n",
    "sns.set(font_scale=1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"vcs_first_commit\", y=\"license_license_group\", data=common_license_df, order=['MIT', 'BSD', 'Apache', 'MPL', 'GPL', 'AGPL', 'LGPL'])\n",
    "plt.xlabel(\"Start Date\")\n",
    "plt.ylabel(\"License Group\")\n",
    "#plt.title(\"Start Date / License Group\", weight='bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "#countlicense_df = apa_df.dropna(subset=['license_hereditary'])\n",
    "#countlicense_df['license_hereditary'] = countlicense_df['license_hereditary'].astype(str)\n",
    "\n",
    "#fig = plt.figure(figsize = (13, 8))\n",
    "#sns.set(font_scale = 1.5)\n",
    "#sns.set(style=\"white\")\n",
    "#ax = sns.boxplot(x='vcs_committer_count', y='license_hereditary',data=countlicense_df, \n",
    "#                 palette=PALETTE, showfliers=False)\n",
    "#plt.xlabel('Committer Count')\n",
    "#plt.ylabel('Hereditary Licenses')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "topic_primary_fq    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apa_df.dtypes[['topic_primary_fq']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "license_df = apa_df.dropna(subset=['topic_primary_fq'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mayoubi/.local/lib/python3.6/site-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  after removing the cwd from sys.path.\n"
     ]
    }
   ],
   "source": [
    "def is_topic_dev(x):\n",
    "    return x.startswith('dev')\n",
    "\n",
    "license_df['is_dev'] = license_df['topic_primary_fq'].apply(is_topic_dev)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>arch_compat_min_py2</th>\n",
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       "      <th>arch_type</th>\n",
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       "      <th>sloc_ratio_cpp</th>\n",
       "      <th>sloc_ratio_css</th>\n",
       "      <th>sloc_ratio_dockerfile</th>\n",
       "      <th>sloc_ratio_go</th>\n",
       "      <th>sloc_ratio_haskell</th>\n",
       "      <th>sloc_ratio_html</th>\n",
       "      <th>sloc_ratio_java</th>\n",
       "      <th>sloc_ratio_javascript</th>\n",
       "      <th>sloc_ratio_jsx</th>\n",
       "      <th>sloc_ratio_less</th>\n",
       "      <th>sloc_ratio_lua</th>\n",
       "      <th>sloc_ratio_markdown</th>\n",
       "      <th>sloc_ratio_meson</th>\n",
       "      <th>sloc_ratio_objectivec</th>\n",
       "      <th>sloc_ratio_python</th>\n",
       "      <th>sloc_ratio_qml</th>\n",
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       "      <th>sloc_ratio_sh</th>\n",
       "      <th>sloc_ratio_sql</th>\n",
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       "      <th>sloc_ratio_tex</th>\n",
       "      <th>sloc_ratio_typescript</th>\n",
       "      <th>sloc_ratio_vue</th>\n",
       "      <th>sloc_ratio_xml</th>\n",
       "      <th>sloc_ratio_xsl</th>\n",
       "      <th>sloc_ratio_yaml</th>\n",
       "      <th>sloc_total_blanks</th>\n",
       "      <th>sloc_total_code</th>\n",
       "      <th>sloc_total_comments</th>\n",
       "      <th>sloc_total_dirs</th>\n",
       "      <th>sloc_total_files</th>\n",
       "      <th>sloc_total_lines</th>\n",
       "      <th>sloc_actionscript</th>\n",
       "      <th>sloc_asp</th>\n",
       "      <th>sloc_assembly</th>\n",
       "      <th>sloc_autoconf</th>\n",
       "      <th>sloc_automake</th>\n",
       "      <th>sloc_bash</th>\n",
       "      <th>sloc_batch</th>\n",
       "      <th>sloc_c</th>\n",
       "      <th>sloc_c_code</th>\n",
       "      <th>sloc_c_comments</th>\n",
       "      <th>sloc_c_files</th>\n",
       "      <th>sloc_cabal</th>\n",
       "      <th>sloc_cmake</th>\n",
       "      <th>sloc_coffeescript</th>\n",
       "      <th>sloc_coq</th>\n",
       "      <th>sloc_cpp</th>\n",
       "      <th>sloc_cpp_code</th>\n",
       "      <th>sloc_cpp_comments</th>\n",
       "      <th>sloc_cpp_files</th>\n",
       "      <th>sloc_csharp</th>\n",
       "      <th>sloc_cshell</th>\n",
       "      <th>sloc_css</th>\n",
       "      <th>sloc_d</th>\n",
       "      <th>sloc_dockerfile</th>\n",
       "      <th>sloc_dotnetresource</th>\n",
       "      <th>sloc_elisp</th>\n",
       "      <th>sloc_elixir</th>\n",
       "      <th>sloc_fish</th>\n",
       "      <th>sloc_forth</th>\n",
       "      <th>sloc_fortranlegacy</th>\n",
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       "      <th>sloc_glsl</th>\n",
       "      <th>sloc_go</th>\n",
       "      <th>sloc_graphql</th>\n",
       "      <th>sloc_groovy</th>\n",
       "      <th>...</th>\n",
       "      <th>sloc_html</th>\n",
       "      <th>sloc_java</th>\n",
       "      <th>sloc_javascript</th>\n",
       "      <th>sloc_jsx</th>\n",
       "      <th>sloc_less</th>\n",
       "      <th>sloc_llvm</th>\n",
       "      <th>sloc_lua</th>\n",
       "      <th>sloc_makefile</th>\n",
       "      <th>sloc_markdown</th>\n",
       "      <th>sloc_meson</th>\n",
       "      <th>sloc_moduledef</th>\n",
       "      <th>sloc_msbuild</th>\n",
       "      <th>sloc_mustache</th>\n",
       "      <th>sloc_nix</th>\n",
       "      <th>sloc_objectivec</th>\n",
       "      <th>sloc_objectivecpp</th>\n",
       "      <th>sloc_org</th>\n",
       "      <th>sloc_pascal</th>\n",
       "      <th>sloc_perl</th>\n",
       "      <th>sloc_php</th>\n",
       "      <th>sloc_prolog</th>\n",
       "      <th>sloc_protobuf</th>\n",
       "      <th>sloc_python</th>\n",
       "      <th>sloc_python_code</th>\n",
       "      <th>sloc_python_comments</th>\n",
       "      <th>sloc_python_files</th>\n",
       "      <th>sloc_qml</th>\n",
       "      <th>sloc_r</th>\n",
       "      <th>sloc_rakefile</th>\n",
       "      <th>sloc_restructuredtext</th>\n",
       "      <th>sloc_rpmspecfile</th>\n",
       "      <th>sloc_ruby</th>\n",
       "      <th>sloc_rubyhtml</th>\n",
       "      <th>sloc_rust</th>\n",
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       "      <th>topic_primary_fq</th>\n",
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       "      <th>topic_secondary_fq</th>\n",
       "      <th>vcs_commit_count</th>\n",
       "      <th>vcs_committer_count</th>\n",
       "      <th>vcs_committer_percent_dist_10</th>\n",
       "      <th>vcs_committer_percent_dist_100</th>\n",
       "      <th>vcs_committer_percent_dist_20</th>\n",
       "      <th>vcs_committer_percent_dist_30</th>\n",
       "      <th>vcs_committer_percent_dist_40</th>\n",
       "      <th>vcs_committer_percent_dist_50</th>\n",
       "      <th>vcs_committer_percent_dist_60</th>\n",
       "      <th>vcs_committer_percent_dist_70</th>\n",
       "      <th>vcs_committer_percent_dist_80</th>\n",
       "      <th>vcs_committer_percent_dist_90</th>\n",
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       "      <td>0.9046</td>\n",
       "      <td>0.0085</td>\n",
       "      <td>0.0053</td>\n",
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       "      <td>0.0053</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>django</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>server</td>\n",
       "      <td>69.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Other</td>\n",
       "      <td>100.0</td>\n",
       "      <td>36631.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>True</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>13746.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>752.0</td>\n",
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       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>organization</td>\n",
       "      <td>organization</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>No</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.2339</td>\n",
       "      <td>0.1698</td>\n",
       "      <td>0.1557</td>\n",
       "      <td>0.1021</td>\n",
       "      <td>0.0968</td>\n",
       "      <td>2012-09-15</td>\n",
       "      <td>2019-08-22</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
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       "      <td>3.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>desktop</td>\n",
       "      <td>8.0</td>\n",
       "      <td>True</td>\n",
       "      <td>GNU General Public License v2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>768.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>True</td>\n",
       "      <td>GPL v2</td>\n",
       "      <td>GPL</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1355.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
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       "      <td>511.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Yes</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.9961</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2010-03-19</td>\n",
       "      <td>2018-08-02</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
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       "      <td>twisted</td>\n",
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       "      <td>zope</td>\n",
       "      <td>NaN</td>\n",
       "      <td>py2app</td>\n",
       "      <td>server</td>\n",
       "      <td>198.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Other</td>\n",
       "      <td>18.0</td>\n",
       "      <td>61758.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>72.0</td>\n",
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       "      <td>Other</td>\n",
       "      <td>Other</td>\n",
       "      <td>0.14</td>\n",
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       "      <td>124420.0</td>\n",
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       "      <td>141.0</td>\n",
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       "      <td>53.0</td>\n",
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       "      <td>internet</td>\n",
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       "      <td>70.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>No</td>\n",
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       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.2333</td>\n",
       "      <td>0.2116</td>\n",
       "      <td>0.1679</td>\n",
       "      <td>0.1403</td>\n",
       "      <td>0.0469</td>\n",
       "      <td>2006-11-28</td>\n",
       "      <td>2019-06-25</td>\n",
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       "      <td>git</td>\n",
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       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
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       "      <td>asyncio</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>docker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>server</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>AGPL</td>\n",
       "      <td>AGPL</td>\n",
       "      <td>0.06</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.94</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2689.0</td>\n",
       "      <td>8070.0</td>\n",
       "      <td>883.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>11642.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>310.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10993.0</td>\n",
       "      <td>7519.0</td>\n",
       "      <td>839.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>208.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1588.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.5088</td>\n",
       "      <td>0.2311</td>\n",
       "      <td>0.1738</td>\n",
       "      <td>0.0573</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>2018-02-05</td>\n",
       "      <td>2019-09-21</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>git</td>\n",
       "      <td>py3</td>\n",
       "      <td>593.0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 190 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            name  arch_compat_min_py2  arch_compat_min_py3  \\\n",
       "0     archivebox                  NaN                  3.5   \n",
       "1  archivematica                  2.7                  NaN   \n",
       "2          canto                  2.7                  3.1   \n",
       "3         deluge                  2.7                  NaN   \n",
       "4        elixire                  NaN                  3.6   \n",
       "\n",
       "  arch_dep_concurrency arch_dep_gui_framework arch_dep_server_framework  \\\n",
       "0                  NaN                    NaN                       NaN   \n",
       "1                  NaN                    NaN                    django   \n",
       "2                  NaN                    NaN                       NaN   \n",
       "3              twisted                    NaN                      zope   \n",
       "4              asyncio                    NaN                       NaN   \n",
       "\n",
       "  arch_pkg_container arch_pkg_freezer arch_type  gh_forks gh_has_wiki  \\\n",
       "0             docker              NaN   desktop     306.0        True   \n",
       "1                NaN              NaN    server      69.0       False   \n",
       "2                NaN              NaN   desktop       8.0        True   \n",
       "3                NaN           py2app    server     198.0       False   \n",
       "4             docker              NaN    server       NaN         NaN   \n",
       "\n",
       "                        gh_license  gh_open_issues  gh_size  gh_stars  \\\n",
       "0                      MIT License            64.0   3841.0    5450.0   \n",
       "1                            Other           100.0  36631.0     179.0   \n",
       "2  GNU General Public License v2.0             6.0    768.0     128.0   \n",
       "3                            Other            18.0  61758.0     730.0   \n",
       "4                              NaN             NaN      NaN       NaN   \n",
       "\n",
       "   gh_watchers license_hereditary license_license license_license_group  \\\n",
       "0        106.0              False             MIT                   MIT   \n",
       "1         39.0               True            AGPL                  AGPL   \n",
       "2          6.0               True          GPL v2                   GPL   \n",
       "3         72.0                NaN           Other                 Other   \n",
       "4          NaN               True            AGPL                  AGPL   \n",
       "\n",
       "   sloc_ratio_other  sloc_ratio_autoconf  sloc_ratio_c  \\\n",
       "0              0.20                  NaN           NaN   \n",
       "1              0.69                  NaN           NaN   \n",
       "2              0.01                  NaN           NaN   \n",
       "3              0.14                  NaN           NaN   \n",
       "4              0.06                  NaN           NaN   \n",
       "\n",
       "   sloc_ratio_coffeescript  sloc_ratio_coq  sloc_ratio_cpp  sloc_ratio_css  \\\n",
       "0                      NaN             NaN             NaN             NaN   \n",
       "1                      NaN             NaN             NaN             NaN   \n",
       "2                      NaN             NaN             NaN             NaN   \n",
       "3                      NaN             NaN             NaN             NaN   \n",
       "4                      NaN             NaN             NaN             NaN   \n",
       "\n",
       "   sloc_ratio_dockerfile  sloc_ratio_go  sloc_ratio_haskell  sloc_ratio_html  \\\n",
       "0                    NaN            NaN                 NaN             0.16   \n",
       "1                    NaN            NaN                 NaN              NaN   \n",
       "2                    NaN            NaN                 NaN              NaN   \n",
       "3                    NaN            NaN                 NaN              NaN   \n",
       "4                    NaN            NaN                 NaN              NaN   \n",
       "\n",
       "   sloc_ratio_java  sloc_ratio_javascript  sloc_ratio_jsx  sloc_ratio_less  \\\n",
       "0              NaN                    NaN             NaN              NaN   \n",
       "1              NaN                    NaN             NaN              NaN   \n",
       "2              NaN                    NaN             NaN              NaN   \n",
       "3              NaN                   0.46             NaN              NaN   \n",
       "4              NaN                    NaN             NaN              NaN   \n",
       "\n",
       "   sloc_ratio_lua  sloc_ratio_markdown  sloc_ratio_meson  \\\n",
       "0             NaN                  NaN               NaN   \n",
       "1             NaN                  NaN               NaN   \n",
       "2             NaN                  NaN               NaN   \n",
       "3             NaN                  NaN               NaN   \n",
       "4             NaN                  NaN               NaN   \n",
       "\n",
       "   sloc_ratio_objectivec  sloc_ratio_python  sloc_ratio_qml  \\\n",
       "0                    NaN               0.64             NaN   \n",
       "1                    NaN               0.31             NaN   \n",
       "2                    NaN               0.99             NaN   \n",
       "3                    NaN               0.40             NaN   \n",
       "4                    NaN               0.94             NaN   \n",
       "\n",
       "   sloc_ratio_restructuredtext  sloc_ratio_rust  sloc_ratio_sass  \\\n",
       "0                          NaN              NaN              NaN   \n",
       "1                          NaN              NaN              NaN   \n",
       "2                          NaN              NaN              NaN   \n",
       "3                          NaN              NaN              NaN   \n",
       "4                          NaN              NaN              NaN   \n",
       "\n",
       "   sloc_ratio_sh  sloc_ratio_sql  sloc_ratio_systemverilog  sloc_ratio_tex  \\\n",
       "0            NaN             NaN                       NaN             NaN   \n",
       "1            NaN             NaN                       NaN             NaN   \n",
       "2            NaN             NaN                       NaN             NaN   \n",
       "3            NaN             NaN                       NaN             NaN   \n",
       "4            NaN             NaN                       NaN             NaN   \n",
       "\n",
       "   sloc_ratio_typescript  sloc_ratio_vue  sloc_ratio_xml  sloc_ratio_xsl  \\\n",
       "0                    NaN             NaN             NaN             NaN   \n",
       "1                    NaN             NaN             NaN             NaN   \n",
       "2                    NaN             NaN             NaN             NaN   \n",
       "3                    NaN             NaN             NaN             NaN   \n",
       "4                    NaN             NaN             NaN             NaN   \n",
       "\n",
       "   sloc_ratio_yaml  sloc_total_blanks  sloc_total_code  sloc_total_comments  \\\n",
       "0              NaN              512.0           3458.0                233.0   \n",
       "1              NaN            13746.0         277514.0               8613.0   \n",
       "2              NaN             1355.0           3822.0                638.0   \n",
       "3              NaN            27448.0         124420.0               8151.0   \n",
       "4              NaN             2689.0           8070.0                883.0   \n",
       "\n",
       "   sloc_total_dirs  sloc_total_files  sloc_total_lines  sloc_actionscript  \\\n",
       "0             87.0             156.0            4203.0                NaN   \n",
       "1            245.0            1128.0          299873.0                NaN   \n",
       "2             23.0              61.0            5815.0                NaN   \n",
       "3            238.0            2054.0          160019.0                NaN   \n",
       "4             42.0             157.0           11642.0                NaN   \n",
       "\n",
       "   sloc_asp  sloc_assembly  sloc_autoconf  sloc_automake  sloc_bash  \\\n",
       "0       NaN            NaN            NaN            NaN        NaN   \n",
       "1       NaN            NaN          119.0            NaN        NaN   \n",
       "2       NaN            NaN            NaN            NaN        NaN   \n",
       "3       NaN            NaN          141.0            NaN        NaN   \n",
       "4       NaN            NaN            NaN            NaN        NaN   \n",
       "\n",
       "   sloc_batch  sloc_c  sloc_c_code  sloc_c_comments  sloc_c_files  sloc_cabal  \\\n",
       "0         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "1         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "2         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "3         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "4         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "\n",
       "   sloc_cmake  sloc_coffeescript  sloc_coq  sloc_cpp  sloc_cpp_code  \\\n",
       "0         NaN                NaN       NaN       NaN            NaN   \n",
       "1         NaN                NaN       NaN       NaN            NaN   \n",
       "2         NaN                NaN       NaN       NaN            NaN   \n",
       "3         NaN                NaN       NaN       NaN            NaN   \n",
       "4         NaN                NaN       NaN       NaN            NaN   \n",
       "\n",
       "   sloc_cpp_comments  sloc_cpp_files  sloc_csharp  sloc_cshell  sloc_css  \\\n",
       "0                NaN             NaN          NaN          NaN       NaN   \n",
       "1                NaN             NaN          NaN          NaN    1411.0   \n",
       "2                NaN             NaN          NaN          NaN       NaN   \n",
       "3                NaN             NaN          NaN          NaN   13600.0   \n",
       "4                NaN             NaN          NaN          NaN       NaN   \n",
       "\n",
       "   sloc_d  sloc_dockerfile  sloc_dotnetresource  sloc_elisp  sloc_elixir  \\\n",
       "0     NaN             74.0                  NaN         NaN          NaN   \n",
       "1     NaN            243.0                  NaN         NaN          NaN   \n",
       "2     NaN              NaN                  NaN         NaN          NaN   \n",
       "3     NaN              NaN                  NaN         NaN          NaN   \n",
       "4     NaN              NaN                  NaN         NaN          NaN   \n",
       "\n",
       "   sloc_fish  sloc_forth  sloc_fortranlegacy  sloc_fortranmodern  sloc_glsl  \\\n",
       "0        NaN         NaN                 NaN                 NaN        NaN   \n",
       "1        NaN         NaN                 NaN                 NaN        NaN   \n",
       "2        NaN         NaN                 NaN                 NaN        NaN   \n",
       "3        NaN         NaN                 NaN                 NaN        NaN   \n",
       "4        NaN         NaN                 NaN                 NaN        NaN   \n",
       "\n",
       "   sloc_go  sloc_graphql  sloc_groovy  ...  sloc_html  sloc_java  \\\n",
       "0      NaN           NaN          NaN  ...      674.0        NaN   \n",
       "1      NaN           NaN          NaN  ...     9240.0        NaN   \n",
       "2      NaN           NaN          NaN  ...        NaN        NaN   \n",
       "3      NaN           NaN          NaN  ...      209.0        NaN   \n",
       "4      NaN           NaN          NaN  ...        NaN        NaN   \n",
       "\n",
       "   sloc_javascript  sloc_jsx  sloc_less  sloc_llvm  sloc_lua  sloc_makefile  \\\n",
       "0            168.0       NaN        NaN        NaN       NaN            NaN   \n",
       "1          10009.0       NaN        NaN        NaN       NaN           92.0   \n",
       "2              NaN       NaN        NaN        NaN       NaN            NaN   \n",
       "3          73373.0       NaN        NaN        NaN       NaN            NaN   \n",
       "4              NaN       NaN        NaN        NaN       NaN            NaN   \n",
       "\n",
       "   sloc_markdown  sloc_meson  sloc_moduledef  sloc_msbuild  sloc_mustache  \\\n",
       "0          314.0         NaN             NaN           NaN            NaN   \n",
       "1         2160.0         NaN             NaN           NaN            NaN   \n",
       "2            NaN         NaN             NaN           NaN            NaN   \n",
       "3         1658.0         NaN             NaN           NaN            NaN   \n",
       "4          310.0         NaN             NaN           NaN            NaN   \n",
       "\n",
       "   sloc_nix  sloc_objectivec  sloc_objectivecpp  sloc_org  sloc_pascal  \\\n",
       "0       NaN              NaN                NaN       NaN          NaN   \n",
       "1       NaN              NaN                NaN       NaN          NaN   \n",
       "2       NaN              NaN                NaN       NaN          NaN   \n",
       "3       NaN              NaN                NaN       NaN          NaN   \n",
       "4       NaN              NaN                NaN       NaN          NaN   \n",
       "\n",
       "   sloc_perl  sloc_php  sloc_prolog  sloc_protobuf  sloc_python  \\\n",
       "0        NaN       NaN          NaN            NaN       2690.0   \n",
       "1        NaN       NaN          NaN            NaN      92983.0   \n",
       "2        NaN       NaN          NaN            NaN       5767.0   \n",
       "3        NaN       NaN          NaN            NaN      63864.0   \n",
       "4        NaN       NaN          NaN            NaN      10993.0   \n",
       "\n",
       "   sloc_python_code  sloc_python_comments  sloc_python_files  sloc_qml  \\\n",
       "0            2031.0                 188.0               11.0       NaN   \n",
       "1           75579.0                7116.0              485.0       NaN   \n",
       "2            3774.0                 638.0               29.0       NaN   \n",
       "3           48382.0                4775.0              272.0       NaN   \n",
       "4            7519.0                 839.0               98.0       NaN   \n",
       "\n",
       "   sloc_r  sloc_rakefile  sloc_restructuredtext  sloc_rpmspecfile  sloc_ruby  \\\n",
       "0     NaN            NaN                    NaN               NaN        NaN   \n",
       "1     NaN            NaN                    NaN               NaN        NaN   \n",
       "2     NaN            NaN                    NaN               NaN        NaN   \n",
       "3     NaN            NaN                  295.0               NaN        NaN   \n",
       "4     NaN            NaN                    NaN               NaN        NaN   \n",
       "\n",
       "   sloc_rubyhtml  sloc_rust  sloc_sass  sloc_scala  sloc_scheme  sloc_scons  \\\n",
       "0            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "1            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "2            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "3            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "4            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "\n",
       "   sloc_sh  sloc_sql  sloc_srecode  sloc_swift  sloc_swig  sloc_systemverilog  \\\n",
       "0      NaN       NaN           NaN         NaN        NaN                 NaN   \n",
       "1    133.0     970.0           NaN         NaN        NaN                 NaN   \n",
       "2      NaN       NaN           NaN         NaN        NaN                 NaN   \n",
       "3      NaN       NaN           NaN         NaN        NaN                 NaN   \n",
       "4      NaN     208.0           NaN         NaN        NaN                 NaN   \n",
       "\n",
       "   sloc_tcl  sloc_tex  sloc_toml  sloc_typescript  sloc_vala  sloc_vb6  \\\n",
       "0       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "1       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "2       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "3       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "4       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "\n",
       "   sloc_vimscript  sloc_visualstudioproject  sloc_visualstudiosolution  \\\n",
       "0             NaN                       NaN                        NaN   \n",
       "1             NaN                       NaN                        NaN   \n",
       "2             NaN                       NaN                        NaN   \n",
       "3             NaN                       NaN                        NaN   \n",
       "4             NaN                       NaN                        NaN   \n",
       "\n",
       "   sloc_vue  sloc_xml  sloc_xsl  sloc_yaml  sloc_zsh  topic_primary  \\\n",
       "0       NaN     233.0       NaN        NaN       NaN       internet   \n",
       "1       NaN    7975.0       NaN      752.0       NaN       internet   \n",
       "2       NaN       NaN       NaN        NaN       NaN       internet   \n",
       "3       NaN       NaN     450.0       53.0       NaN       internet   \n",
       "4       NaN       NaN       NaN        NaN       NaN       internet   \n",
       "\n",
       "   topic_primary_fq  topic_secondary  topic_secondary_fq vcs_commit_count  \\\n",
       "0          internet     organization        organization            943.0   \n",
       "1          internet     organization        organization           3917.0   \n",
       "2          internet              NaN                 NaN            511.0   \n",
       "3          internet              NaN                 NaN           8741.0   \n",
       "4          internet              NaN                 NaN           1588.0   \n",
       "\n",
       "  vcs_committer_count vcs_committer_percent_dist_10  \\\n",
       "0                43.0                           1.0   \n",
       "1                49.0                           1.0   \n",
       "2                 3.0                           1.0   \n",
       "3                70.0                           1.0   \n",
       "4                11.0                           1.0   \n",
       "\n",
       "  vcs_committer_percent_dist_100  vcs_committer_percent_dist_20  \\\n",
       "0                           43.0                            1.0   \n",
       "1                           49.0                            1.0   \n",
       "2                            3.0                            1.0   \n",
       "3                           70.0                            1.0   \n",
       "4                           11.0                            1.0   \n",
       "\n",
       "   vcs_committer_percent_dist_30  vcs_committer_percent_dist_40  \\\n",
       "0                            1.0                            1.0   \n",
       "1                            2.0                            2.0   \n",
       "2                            1.0                            1.0   \n",
       "3                            2.0                            2.0   \n",
       "4                            1.0                            1.0   \n",
       "\n",
       "   vcs_committer_percent_dist_50  vcs_committer_percent_dist_60  \\\n",
       "0                            Yes                            1.0   \n",
       "1                             No                            4.0   \n",
       "2                            Yes                            1.0   \n",
       "3                             No                            3.0   \n",
       "4                            Yes                            2.0   \n",
       "\n",
       "   vcs_committer_percent_dist_70  vcs_committer_percent_dist_80  \\\n",
       "0                            1.0                            1.0   \n",
       "1                            5.0                            6.0   \n",
       "2                            1.0                            1.0   \n",
       "3                            4.0                            5.0   \n",
       "4                            2.0                            3.0   \n",
       "\n",
       "  vcs_committer_percent_dist_90  vcs_committer_percent_dist_95  \\\n",
       "0                           1.0                           10.0   \n",
       "1                           8.0                           13.0   \n",
       "2                           1.0                            1.0   \n",
       "3                           9.0                           11.0   \n",
       "4                           3.0                            4.0   \n",
       "\n",
       "   vcs_committer_percent_dist_99  vcs_committer_top_5_0  \\\n",
       "0                           34.0                 0.9046   \n",
       "1                           23.0                 0.2339   \n",
       "2                            1.0                 0.9961   \n",
       "3                           20.0                 0.2333   \n",
       "4                            6.0                 0.5088   \n",
       "\n",
       "   vcs_committer_top_5_1  vcs_committer_top_5_2  vcs_committer_top_5_3  \\\n",
       "0                 0.0085                 0.0053                 0.0053   \n",
       "1                 0.1698                 0.1557                 0.1021   \n",
       "2                 0.0020                 0.0020                    NaN   \n",
       "3                 0.2116                 0.1679                 0.1403   \n",
       "4                 0.2311                 0.1738                 0.0573   \n",
       "\n",
       "   vcs_committer_top_5_4  vcs_first_commit  vcs_latest_commit  \\\n",
       "0                 0.0053        2017-05-05         2019-10-01   \n",
       "1                 0.0968        2012-09-15         2019-08-22   \n",
       "2                    NaN        2010-03-19         2018-08-02   \n",
       "3                 0.0469        2006-11-28         2019-06-25   \n",
       "4                 0.0170        2018-02-05         2019-09-21   \n",
       "\n",
       "   vcs_minor_committer_counts_1  vcs_minor_committer_counts_2  \\\n",
       "0                          21.0                          31.0   \n",
       "1                          17.0                          24.0   \n",
       "2                           2.0                           2.0   \n",
       "3                          34.0                          42.0   \n",
       "4                           3.0                           5.0   \n",
       "\n",
       "  vcs_minor_committer_counts_3 vcs_minor_committer_counts_4  \\\n",
       "0                         34.0                         37.0   \n",
       "1                         27.0                         27.0   \n",
       "2                          2.0                          2.0   \n",
       "3                         44.0                         48.0   \n",
       "4                          5.0                          5.0   \n",
       "\n",
       "   vcs_minor_committer_counts_5  vcs_vcs_name  py23_compat  age_commit  \\\n",
       "0                          41.0           git          py3       879.0   \n",
       "1                          29.0           git          py2      2532.0   \n",
       "2                           2.0           git         py23      3058.0   \n",
       "3                          49.0           git          py2      4592.0   \n",
       "4                           5.0           git          py3       593.0   \n",
       "\n",
       "   py3_compat is_dev  \n",
       "0        True  False  \n",
       "1       False  False  \n",
       "2        True  False  \n",
       "3       False  False  \n",
       "4        True  False  \n",
       "\n",
       "[5 rows x 190 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "license_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pie = m_pieplot(\n",
    "    license_df\n",
    "    .groupby('license_hereditary')\n",
    "    .count()\n",
    "    .sort_values('license_hereditary', ascending=False))\n",
    "\n",
    "#plt.title(\"License Hereditary Breakdown\", weight='bold', pad=40, size=20)\n",
    "plt.ylabel(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pie = m_pieplot(\n",
    "    license_df\n",
    "    .groupby('license_license_group')\n",
    "    .count()\n",
    "    .sort_values('license_license_group', ascending=False))\n",
    "\n",
    "#plt.title(\"License Group Breakdown\", weight='bold', pad=40, size=20)\n",
    "plt.ylabel(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>arch_compat_min_py2</th>\n",
       "      <th>arch_compat_min_py3</th>\n",
       "      <th>arch_dep_concurrency</th>\n",
       "      <th>arch_dep_gui_framework</th>\n",
       "      <th>arch_dep_server_framework</th>\n",
       "      <th>arch_pkg_container</th>\n",
       "      <th>arch_pkg_freezer</th>\n",
       "      <th>arch_type</th>\n",
       "      <th>gh_forks</th>\n",
       "      <th>gh_has_wiki</th>\n",
       "      <th>gh_license</th>\n",
       "      <th>gh_open_issues</th>\n",
       "      <th>gh_size</th>\n",
       "      <th>gh_stars</th>\n",
       "      <th>gh_watchers</th>\n",
       "      <th>license_hereditary</th>\n",
       "      <th>license_license</th>\n",
       "      <th>license_license_group</th>\n",
       "      <th>sloc_ratio_other</th>\n",
       "      <th>sloc_ratio_autoconf</th>\n",
       "      <th>sloc_ratio_c</th>\n",
       "      <th>sloc_ratio_coffeescript</th>\n",
       "      <th>sloc_ratio_coq</th>\n",
       "      <th>sloc_ratio_cpp</th>\n",
       "      <th>sloc_ratio_css</th>\n",
       "      <th>sloc_ratio_dockerfile</th>\n",
       "      <th>sloc_ratio_go</th>\n",
       "      <th>sloc_ratio_haskell</th>\n",
       "      <th>sloc_ratio_html</th>\n",
       "      <th>sloc_ratio_java</th>\n",
       "      <th>sloc_ratio_javascript</th>\n",
       "      <th>sloc_ratio_jsx</th>\n",
       "      <th>sloc_ratio_less</th>\n",
       "      <th>sloc_ratio_lua</th>\n",
       "      <th>sloc_ratio_markdown</th>\n",
       "      <th>sloc_ratio_meson</th>\n",
       "      <th>sloc_ratio_objectivec</th>\n",
       "      <th>sloc_ratio_python</th>\n",
       "      <th>sloc_ratio_qml</th>\n",
       "      <th>sloc_ratio_restructuredtext</th>\n",
       "      <th>sloc_ratio_rust</th>\n",
       "      <th>sloc_ratio_sass</th>\n",
       "      <th>sloc_ratio_sh</th>\n",
       "      <th>sloc_ratio_sql</th>\n",
       "      <th>sloc_ratio_systemverilog</th>\n",
       "      <th>sloc_ratio_tex</th>\n",
       "      <th>sloc_ratio_typescript</th>\n",
       "      <th>sloc_ratio_vue</th>\n",
       "      <th>sloc_ratio_xml</th>\n",
       "      <th>sloc_ratio_xsl</th>\n",
       "      <th>sloc_ratio_yaml</th>\n",
       "      <th>sloc_total_blanks</th>\n",
       "      <th>sloc_total_code</th>\n",
       "      <th>sloc_total_comments</th>\n",
       "      <th>sloc_total_dirs</th>\n",
       "      <th>sloc_total_files</th>\n",
       "      <th>sloc_total_lines</th>\n",
       "      <th>sloc_actionscript</th>\n",
       "      <th>sloc_asp</th>\n",
       "      <th>sloc_assembly</th>\n",
       "      <th>sloc_autoconf</th>\n",
       "      <th>sloc_automake</th>\n",
       "      <th>sloc_bash</th>\n",
       "      <th>sloc_batch</th>\n",
       "      <th>sloc_c</th>\n",
       "      <th>sloc_c_code</th>\n",
       "      <th>sloc_c_comments</th>\n",
       "      <th>sloc_c_files</th>\n",
       "      <th>sloc_cabal</th>\n",
       "      <th>sloc_cmake</th>\n",
       "      <th>sloc_coffeescript</th>\n",
       "      <th>sloc_coq</th>\n",
       "      <th>sloc_cpp</th>\n",
       "      <th>sloc_cpp_code</th>\n",
       "      <th>sloc_cpp_comments</th>\n",
       "      <th>sloc_cpp_files</th>\n",
       "      <th>sloc_csharp</th>\n",
       "      <th>sloc_cshell</th>\n",
       "      <th>sloc_css</th>\n",
       "      <th>sloc_d</th>\n",
       "      <th>sloc_dockerfile</th>\n",
       "      <th>sloc_dotnetresource</th>\n",
       "      <th>sloc_elisp</th>\n",
       "      <th>sloc_elixir</th>\n",
       "      <th>sloc_fish</th>\n",
       "      <th>sloc_forth</th>\n",
       "      <th>sloc_fortranlegacy</th>\n",
       "      <th>sloc_fortranmodern</th>\n",
       "      <th>sloc_glsl</th>\n",
       "      <th>sloc_go</th>\n",
       "      <th>sloc_graphql</th>\n",
       "      <th>sloc_groovy</th>\n",
       "      <th>...</th>\n",
       "      <th>sloc_hcl</th>\n",
       "      <th>sloc_html</th>\n",
       "      <th>sloc_java</th>\n",
       "      <th>sloc_javascript</th>\n",
       "      <th>sloc_jsx</th>\n",
       "      <th>sloc_less</th>\n",
       "      <th>sloc_llvm</th>\n",
       "      <th>sloc_lua</th>\n",
       "      <th>sloc_makefile</th>\n",
       "      <th>sloc_markdown</th>\n",
       "      <th>sloc_meson</th>\n",
       "      <th>sloc_moduledef</th>\n",
       "      <th>sloc_msbuild</th>\n",
       "      <th>sloc_mustache</th>\n",
       "      <th>sloc_nix</th>\n",
       "      <th>sloc_objectivec</th>\n",
       "      <th>sloc_objectivecpp</th>\n",
       "      <th>sloc_org</th>\n",
       "      <th>sloc_pascal</th>\n",
       "      <th>sloc_perl</th>\n",
       "      <th>sloc_php</th>\n",
       "      <th>sloc_prolog</th>\n",
       "      <th>sloc_protobuf</th>\n",
       "      <th>sloc_python</th>\n",
       "      <th>sloc_python_code</th>\n",
       "      <th>sloc_python_comments</th>\n",
       "      <th>sloc_python_files</th>\n",
       "      <th>sloc_qml</th>\n",
       "      <th>sloc_r</th>\n",
       "      <th>sloc_rakefile</th>\n",
       "      <th>sloc_restructuredtext</th>\n",
       "      <th>sloc_rpmspecfile</th>\n",
       "      <th>sloc_ruby</th>\n",
       "      <th>sloc_rubyhtml</th>\n",
       "      <th>sloc_rust</th>\n",
       "      <th>sloc_sass</th>\n",
       "      <th>sloc_scala</th>\n",
       "      <th>sloc_scheme</th>\n",
       "      <th>sloc_scons</th>\n",
       "      <th>sloc_sh</th>\n",
       "      <th>sloc_sql</th>\n",
       "      <th>sloc_srecode</th>\n",
       "      <th>sloc_swift</th>\n",
       "      <th>sloc_swig</th>\n",
       "      <th>sloc_systemverilog</th>\n",
       "      <th>sloc_tcl</th>\n",
       "      <th>sloc_tex</th>\n",
       "      <th>sloc_toml</th>\n",
       "      <th>sloc_typescript</th>\n",
       "      <th>sloc_vala</th>\n",
       "      <th>sloc_vb6</th>\n",
       "      <th>sloc_vimscript</th>\n",
       "      <th>sloc_visualstudioproject</th>\n",
       "      <th>sloc_visualstudiosolution</th>\n",
       "      <th>sloc_vue</th>\n",
       "      <th>sloc_xml</th>\n",
       "      <th>sloc_xsl</th>\n",
       "      <th>sloc_yaml</th>\n",
       "      <th>sloc_zsh</th>\n",
       "      <th>topic_primary</th>\n",
       "      <th>topic_primary_fq</th>\n",
       "      <th>topic_secondary</th>\n",
       "      <th>topic_secondary_fq</th>\n",
       "      <th>vcs_commit_count</th>\n",
       "      <th>vcs_committer_count</th>\n",
       "      <th>vcs_committer_percent_dist_10</th>\n",
       "      <th>vcs_committer_percent_dist_100</th>\n",
       "      <th>vcs_committer_percent_dist_20</th>\n",
       "      <th>vcs_committer_percent_dist_30</th>\n",
       "      <th>vcs_committer_percent_dist_40</th>\n",
       "      <th>vcs_committer_percent_dist_50</th>\n",
       "      <th>vcs_committer_percent_dist_60</th>\n",
       "      <th>vcs_committer_percent_dist_70</th>\n",
       "      <th>vcs_committer_percent_dist_80</th>\n",
       "      <th>vcs_committer_percent_dist_90</th>\n",
       "      <th>vcs_committer_percent_dist_95</th>\n",
       "      <th>vcs_committer_percent_dist_99</th>\n",
       "      <th>vcs_committer_top_5_0</th>\n",
       "      <th>vcs_committer_top_5_1</th>\n",
       "      <th>vcs_committer_top_5_2</th>\n",
       "      <th>vcs_committer_top_5_3</th>\n",
       "      <th>vcs_committer_top_5_4</th>\n",
       "      <th>vcs_first_commit</th>\n",
       "      <th>vcs_latest_commit</th>\n",
       "      <th>vcs_minor_committer_counts_1</th>\n",
       "      <th>vcs_minor_committer_counts_2</th>\n",
       "      <th>vcs_minor_committer_counts_3</th>\n",
       "      <th>vcs_minor_committer_counts_4</th>\n",
       "      <th>vcs_minor_committer_counts_5</th>\n",
       "      <th>vcs_vcs_name</th>\n",
       "      <th>py23_compat</th>\n",
       "      <th>age_commit</th>\n",
       "      <th>py3_compat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>archivebox</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>docker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>desktop</td>\n",
       "      <td>306.0</td>\n",
       "      <td>True</td>\n",
       "      <td>MIT License</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3841.0</td>\n",
       "      <td>5450.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>False</td>\n",
       "      <td>MIT</td>\n",
       "      <td>MIT</td>\n",
       "      <td>0.20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.64</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>512.0</td>\n",
       "      <td>3458.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>4203.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>674.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>314.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2690.0</td>\n",
       "      <td>2031.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>233.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>organization</td>\n",
       "      <td>organization</td>\n",
       "      <td>943.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.9046</td>\n",
       "      <td>0.0085</td>\n",
       "      <td>0.0053</td>\n",
       "      <td>0.0053</td>\n",
       "      <td>0.0053</td>\n",
       "      <td>2017-05-05</td>\n",
       "      <td>2019-10-01</td>\n",
       "      <td>21.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>git</td>\n",
       "      <td>py3</td>\n",
       "      <td>879.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>archivematica</td>\n",
       "      <td>2.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>django</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>server</td>\n",
       "      <td>69.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Other</td>\n",
       "      <td>100.0</td>\n",
       "      <td>36631.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>True</td>\n",
       "      <td>AGPL</td>\n",
       "      <td>AGPL</td>\n",
       "      <td>0.69</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13746.0</td>\n",
       "      <td>277514.0</td>\n",
       "      <td>8613.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>1128.0</td>\n",
       "      <td>299873.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1411.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>243.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10009.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92.0</td>\n",
       "      <td>2160.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92983.0</td>\n",
       "      <td>75579.0</td>\n",
       "      <td>7116.0</td>\n",
       "      <td>485.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>133.0</td>\n",
       "      <td>970.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7975.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>752.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>organization</td>\n",
       "      <td>organization</td>\n",
       "      <td>3917.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>No</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.2339</td>\n",
       "      <td>0.1698</td>\n",
       "      <td>0.1557</td>\n",
       "      <td>0.1021</td>\n",
       "      <td>0.0968</td>\n",
       "      <td>2012-09-15</td>\n",
       "      <td>2019-08-22</td>\n",
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       "      <td>27.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>git</td>\n",
       "      <td>py2</td>\n",
       "      <td>2532.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
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       "      <td>2.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>desktop</td>\n",
       "      <td>8.0</td>\n",
       "      <td>True</td>\n",
       "      <td>GNU General Public License v2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>768.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>True</td>\n",
       "      <td>GPL v2</td>\n",
       "      <td>GPL</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.99</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1355.0</td>\n",
       "      <td>3822.0</td>\n",
       "      <td>638.0</td>\n",
       "      <td>23.0</td>\n",
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       "      <td>5815.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5767.0</td>\n",
       "      <td>3774.0</td>\n",
       "      <td>638.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>511.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.9961</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2010-03-19</td>\n",
       "      <td>2018-08-02</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>git</td>\n",
       "      <td>py23</td>\n",
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       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
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       "      <td>twisted</td>\n",
       "      <td>NaN</td>\n",
       "      <td>zope</td>\n",
       "      <td>NaN</td>\n",
       "      <td>py2app</td>\n",
       "      <td>server</td>\n",
       "      <td>198.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Other</td>\n",
       "      <td>18.0</td>\n",
       "      <td>61758.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other</td>\n",
       "      <td>Other</td>\n",
       "      <td>0.14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.46</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.40</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27448.0</td>\n",
       "      <td>124420.0</td>\n",
       "      <td>8151.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>2054.0</td>\n",
       "      <td>160019.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>13600.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>209.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73373.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1658.0</td>\n",
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       "      <td>63864.0</td>\n",
       "      <td>48382.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>295.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>450.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8741.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>No</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.2333</td>\n",
       "      <td>0.2116</td>\n",
       "      <td>0.1679</td>\n",
       "      <td>0.1403</td>\n",
       "      <td>0.0469</td>\n",
       "      <td>2006-11-28</td>\n",
       "      <td>2019-06-25</td>\n",
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       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>asyncio</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>docker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>server</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
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       "      <td>0.06</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>208.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1588.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.5088</td>\n",
       "      <td>0.2311</td>\n",
       "      <td>0.1738</td>\n",
       "      <td>0.0573</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>2018-02-05</td>\n",
       "      <td>2019-09-21</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>git</td>\n",
       "      <td>py3</td>\n",
       "      <td>593.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 189 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            name  arch_compat_min_py2  arch_compat_min_py3  \\\n",
       "0     archivebox                  NaN                  3.5   \n",
       "1  archivematica                  2.7                  NaN   \n",
       "2          canto                  2.7                  3.1   \n",
       "3         deluge                  2.7                  NaN   \n",
       "4        elixire                  NaN                  3.6   \n",
       "\n",
       "  arch_dep_concurrency arch_dep_gui_framework arch_dep_server_framework  \\\n",
       "0                  NaN                    NaN                       NaN   \n",
       "1                  NaN                    NaN                    django   \n",
       "2                  NaN                    NaN                       NaN   \n",
       "3              twisted                    NaN                      zope   \n",
       "4              asyncio                    NaN                       NaN   \n",
       "\n",
       "  arch_pkg_container arch_pkg_freezer arch_type  gh_forks gh_has_wiki  \\\n",
       "0             docker              NaN   desktop     306.0        True   \n",
       "1                NaN              NaN    server      69.0       False   \n",
       "2                NaN              NaN   desktop       8.0        True   \n",
       "3                NaN           py2app    server     198.0       False   \n",
       "4             docker              NaN    server       NaN         NaN   \n",
       "\n",
       "                        gh_license  gh_open_issues  gh_size  gh_stars  \\\n",
       "0                      MIT License            64.0   3841.0    5450.0   \n",
       "1                            Other           100.0  36631.0     179.0   \n",
       "2  GNU General Public License v2.0             6.0    768.0     128.0   \n",
       "3                            Other            18.0  61758.0     730.0   \n",
       "4                              NaN             NaN      NaN       NaN   \n",
       "\n",
       "   gh_watchers license_hereditary license_license license_license_group  \\\n",
       "0        106.0              False             MIT                   MIT   \n",
       "1         39.0               True            AGPL                  AGPL   \n",
       "2          6.0               True          GPL v2                   GPL   \n",
       "3         72.0                NaN           Other                 Other   \n",
       "4          NaN               True            AGPL                  AGPL   \n",
       "\n",
       "   sloc_ratio_other  sloc_ratio_autoconf  sloc_ratio_c  \\\n",
       "0              0.20                  NaN           NaN   \n",
       "1              0.69                  NaN           NaN   \n",
       "2              0.01                  NaN           NaN   \n",
       "3              0.14                  NaN           NaN   \n",
       "4              0.06                  NaN           NaN   \n",
       "\n",
       "   sloc_ratio_coffeescript  sloc_ratio_coq  sloc_ratio_cpp  sloc_ratio_css  \\\n",
       "0                      NaN             NaN             NaN             NaN   \n",
       "1                      NaN             NaN             NaN             NaN   \n",
       "2                      NaN             NaN             NaN             NaN   \n",
       "3                      NaN             NaN             NaN             NaN   \n",
       "4                      NaN             NaN             NaN             NaN   \n",
       "\n",
       "   sloc_ratio_dockerfile  sloc_ratio_go  sloc_ratio_haskell  sloc_ratio_html  \\\n",
       "0                    NaN            NaN                 NaN             0.16   \n",
       "1                    NaN            NaN                 NaN              NaN   \n",
       "2                    NaN            NaN                 NaN              NaN   \n",
       "3                    NaN            NaN                 NaN              NaN   \n",
       "4                    NaN            NaN                 NaN              NaN   \n",
       "\n",
       "   sloc_ratio_java  sloc_ratio_javascript  sloc_ratio_jsx  sloc_ratio_less  \\\n",
       "0              NaN                    NaN             NaN              NaN   \n",
       "1              NaN                    NaN             NaN              NaN   \n",
       "2              NaN                    NaN             NaN              NaN   \n",
       "3              NaN                   0.46             NaN              NaN   \n",
       "4              NaN                    NaN             NaN              NaN   \n",
       "\n",
       "   sloc_ratio_lua  sloc_ratio_markdown  sloc_ratio_meson  \\\n",
       "0             NaN                  NaN               NaN   \n",
       "1             NaN                  NaN               NaN   \n",
       "2             NaN                  NaN               NaN   \n",
       "3             NaN                  NaN               NaN   \n",
       "4             NaN                  NaN               NaN   \n",
       "\n",
       "   sloc_ratio_objectivec  sloc_ratio_python  sloc_ratio_qml  \\\n",
       "0                    NaN               0.64             NaN   \n",
       "1                    NaN               0.31             NaN   \n",
       "2                    NaN               0.99             NaN   \n",
       "3                    NaN               0.40             NaN   \n",
       "4                    NaN               0.94             NaN   \n",
       "\n",
       "   sloc_ratio_restructuredtext  sloc_ratio_rust  sloc_ratio_sass  \\\n",
       "0                          NaN              NaN              NaN   \n",
       "1                          NaN              NaN              NaN   \n",
       "2                          NaN              NaN              NaN   \n",
       "3                          NaN              NaN              NaN   \n",
       "4                          NaN              NaN              NaN   \n",
       "\n",
       "   sloc_ratio_sh  sloc_ratio_sql  sloc_ratio_systemverilog  sloc_ratio_tex  \\\n",
       "0            NaN             NaN                       NaN             NaN   \n",
       "1            NaN             NaN                       NaN             NaN   \n",
       "2            NaN             NaN                       NaN             NaN   \n",
       "3            NaN             NaN                       NaN             NaN   \n",
       "4            NaN             NaN                       NaN             NaN   \n",
       "\n",
       "   sloc_ratio_typescript  sloc_ratio_vue  sloc_ratio_xml  sloc_ratio_xsl  \\\n",
       "0                    NaN             NaN             NaN             NaN   \n",
       "1                    NaN             NaN             NaN             NaN   \n",
       "2                    NaN             NaN             NaN             NaN   \n",
       "3                    NaN             NaN             NaN             NaN   \n",
       "4                    NaN             NaN             NaN             NaN   \n",
       "\n",
       "   sloc_ratio_yaml  sloc_total_blanks  sloc_total_code  sloc_total_comments  \\\n",
       "0              NaN              512.0           3458.0                233.0   \n",
       "1              NaN            13746.0         277514.0               8613.0   \n",
       "2              NaN             1355.0           3822.0                638.0   \n",
       "3              NaN            27448.0         124420.0               8151.0   \n",
       "4              NaN             2689.0           8070.0                883.0   \n",
       "\n",
       "   sloc_total_dirs  sloc_total_files  sloc_total_lines  sloc_actionscript  \\\n",
       "0             87.0             156.0            4203.0                NaN   \n",
       "1            245.0            1128.0          299873.0                NaN   \n",
       "2             23.0              61.0            5815.0                NaN   \n",
       "3            238.0            2054.0          160019.0                NaN   \n",
       "4             42.0             157.0           11642.0                NaN   \n",
       "\n",
       "   sloc_asp  sloc_assembly  sloc_autoconf  sloc_automake  sloc_bash  \\\n",
       "0       NaN            NaN            NaN            NaN        NaN   \n",
       "1       NaN            NaN          119.0            NaN        NaN   \n",
       "2       NaN            NaN            NaN            NaN        NaN   \n",
       "3       NaN            NaN          141.0            NaN        NaN   \n",
       "4       NaN            NaN            NaN            NaN        NaN   \n",
       "\n",
       "   sloc_batch  sloc_c  sloc_c_code  sloc_c_comments  sloc_c_files  sloc_cabal  \\\n",
       "0         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "1         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "2         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "3         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "4         NaN     NaN          NaN              NaN           NaN         NaN   \n",
       "\n",
       "   sloc_cmake  sloc_coffeescript  sloc_coq  sloc_cpp  sloc_cpp_code  \\\n",
       "0         NaN                NaN       NaN       NaN            NaN   \n",
       "1         NaN                NaN       NaN       NaN            NaN   \n",
       "2         NaN                NaN       NaN       NaN            NaN   \n",
       "3         NaN                NaN       NaN       NaN            NaN   \n",
       "4         NaN                NaN       NaN       NaN            NaN   \n",
       "\n",
       "   sloc_cpp_comments  sloc_cpp_files  sloc_csharp  sloc_cshell  sloc_css  \\\n",
       "0                NaN             NaN          NaN          NaN       NaN   \n",
       "1                NaN             NaN          NaN          NaN    1411.0   \n",
       "2                NaN             NaN          NaN          NaN       NaN   \n",
       "3                NaN             NaN          NaN          NaN   13600.0   \n",
       "4                NaN             NaN          NaN          NaN       NaN   \n",
       "\n",
       "   sloc_d  sloc_dockerfile  sloc_dotnetresource  sloc_elisp  sloc_elixir  \\\n",
       "0     NaN             74.0                  NaN         NaN          NaN   \n",
       "1     NaN            243.0                  NaN         NaN          NaN   \n",
       "2     NaN              NaN                  NaN         NaN          NaN   \n",
       "3     NaN              NaN                  NaN         NaN          NaN   \n",
       "4     NaN              NaN                  NaN         NaN          NaN   \n",
       "\n",
       "   sloc_fish  sloc_forth  sloc_fortranlegacy  sloc_fortranmodern  sloc_glsl  \\\n",
       "0        NaN         NaN                 NaN                 NaN        NaN   \n",
       "1        NaN         NaN                 NaN                 NaN        NaN   \n",
       "2        NaN         NaN                 NaN                 NaN        NaN   \n",
       "3        NaN         NaN                 NaN                 NaN        NaN   \n",
       "4        NaN         NaN                 NaN                 NaN        NaN   \n",
       "\n",
       "   sloc_go  sloc_graphql  sloc_groovy  ...  sloc_hcl  sloc_html  sloc_java  \\\n",
       "0      NaN           NaN          NaN  ...       NaN      674.0        NaN   \n",
       "1      NaN           NaN          NaN  ...       NaN     9240.0        NaN   \n",
       "2      NaN           NaN          NaN  ...       NaN        NaN        NaN   \n",
       "3      NaN           NaN          NaN  ...       NaN      209.0        NaN   \n",
       "4      NaN           NaN          NaN  ...       NaN        NaN        NaN   \n",
       "\n",
       "   sloc_javascript  sloc_jsx  sloc_less  sloc_llvm  sloc_lua  sloc_makefile  \\\n",
       "0            168.0       NaN        NaN        NaN       NaN            NaN   \n",
       "1          10009.0       NaN        NaN        NaN       NaN           92.0   \n",
       "2              NaN       NaN        NaN        NaN       NaN            NaN   \n",
       "3          73373.0       NaN        NaN        NaN       NaN            NaN   \n",
       "4              NaN       NaN        NaN        NaN       NaN            NaN   \n",
       "\n",
       "   sloc_markdown  sloc_meson  sloc_moduledef  sloc_msbuild  sloc_mustache  \\\n",
       "0          314.0         NaN             NaN           NaN            NaN   \n",
       "1         2160.0         NaN             NaN           NaN            NaN   \n",
       "2            NaN         NaN             NaN           NaN            NaN   \n",
       "3         1658.0         NaN             NaN           NaN            NaN   \n",
       "4          310.0         NaN             NaN           NaN            NaN   \n",
       "\n",
       "   sloc_nix  sloc_objectivec  sloc_objectivecpp  sloc_org  sloc_pascal  \\\n",
       "0       NaN              NaN                NaN       NaN          NaN   \n",
       "1       NaN              NaN                NaN       NaN          NaN   \n",
       "2       NaN              NaN                NaN       NaN          NaN   \n",
       "3       NaN              NaN                NaN       NaN          NaN   \n",
       "4       NaN              NaN                NaN       NaN          NaN   \n",
       "\n",
       "   sloc_perl  sloc_php  sloc_prolog  sloc_protobuf  sloc_python  \\\n",
       "0        NaN       NaN          NaN            NaN       2690.0   \n",
       "1        NaN       NaN          NaN            NaN      92983.0   \n",
       "2        NaN       NaN          NaN            NaN       5767.0   \n",
       "3        NaN       NaN          NaN            NaN      63864.0   \n",
       "4        NaN       NaN          NaN            NaN      10993.0   \n",
       "\n",
       "   sloc_python_code  sloc_python_comments  sloc_python_files  sloc_qml  \\\n",
       "0            2031.0                 188.0               11.0       NaN   \n",
       "1           75579.0                7116.0              485.0       NaN   \n",
       "2            3774.0                 638.0               29.0       NaN   \n",
       "3           48382.0                4775.0              272.0       NaN   \n",
       "4            7519.0                 839.0               98.0       NaN   \n",
       "\n",
       "   sloc_r  sloc_rakefile  sloc_restructuredtext  sloc_rpmspecfile  sloc_ruby  \\\n",
       "0     NaN            NaN                    NaN               NaN        NaN   \n",
       "1     NaN            NaN                    NaN               NaN        NaN   \n",
       "2     NaN            NaN                    NaN               NaN        NaN   \n",
       "3     NaN            NaN                  295.0               NaN        NaN   \n",
       "4     NaN            NaN                    NaN               NaN        NaN   \n",
       "\n",
       "   sloc_rubyhtml  sloc_rust  sloc_sass  sloc_scala  sloc_scheme  sloc_scons  \\\n",
       "0            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "1            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "2            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "3            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "4            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "\n",
       "   sloc_sh  sloc_sql  sloc_srecode  sloc_swift  sloc_swig  sloc_systemverilog  \\\n",
       "0      NaN       NaN           NaN         NaN        NaN                 NaN   \n",
       "1    133.0     970.0           NaN         NaN        NaN                 NaN   \n",
       "2      NaN       NaN           NaN         NaN        NaN                 NaN   \n",
       "3      NaN       NaN           NaN         NaN        NaN                 NaN   \n",
       "4      NaN     208.0           NaN         NaN        NaN                 NaN   \n",
       "\n",
       "   sloc_tcl  sloc_tex  sloc_toml  sloc_typescript  sloc_vala  sloc_vb6  \\\n",
       "0       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "1       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "2       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "3       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "4       NaN       NaN        NaN              NaN        NaN       NaN   \n",
       "\n",
       "   sloc_vimscript  sloc_visualstudioproject  sloc_visualstudiosolution  \\\n",
       "0             NaN                       NaN                        NaN   \n",
       "1             NaN                       NaN                        NaN   \n",
       "2             NaN                       NaN                        NaN   \n",
       "3             NaN                       NaN                        NaN   \n",
       "4             NaN                       NaN                        NaN   \n",
       "\n",
       "   sloc_vue  sloc_xml  sloc_xsl  sloc_yaml  sloc_zsh  topic_primary  \\\n",
       "0       NaN     233.0       NaN        NaN       NaN       internet   \n",
       "1       NaN    7975.0       NaN      752.0       NaN       internet   \n",
       "2       NaN       NaN       NaN        NaN       NaN       internet   \n",
       "3       NaN       NaN     450.0       53.0       NaN       internet   \n",
       "4       NaN       NaN       NaN        NaN       NaN       internet   \n",
       "\n",
       "   topic_primary_fq  topic_secondary topic_secondary_fq vcs_commit_count  \\\n",
       "0          internet     organization       organization            943.0   \n",
       "1          internet     organization       organization           3917.0   \n",
       "2          internet              NaN                NaN            511.0   \n",
       "3          internet              NaN                NaN           8741.0   \n",
       "4          internet              NaN                NaN           1588.0   \n",
       "\n",
       "  vcs_committer_count vcs_committer_percent_dist_10  \\\n",
       "0                43.0                           1.0   \n",
       "1                49.0                           1.0   \n",
       "2                 3.0                           1.0   \n",
       "3                70.0                           1.0   \n",
       "4                11.0                           1.0   \n",
       "\n",
       "   vcs_committer_percent_dist_100  vcs_committer_percent_dist_20  \\\n",
       "0                            43.0                            1.0   \n",
       "1                            49.0                            1.0   \n",
       "2                             3.0                            1.0   \n",
       "3                            70.0                            1.0   \n",
       "4                            11.0                            1.0   \n",
       "\n",
       "   vcs_committer_percent_dist_30  vcs_committer_percent_dist_40  \\\n",
       "0                            1.0                            1.0   \n",
       "1                            2.0                            2.0   \n",
       "2                            1.0                            1.0   \n",
       "3                            2.0                            2.0   \n",
       "4                            1.0                            1.0   \n",
       "\n",
       "   vcs_committer_percent_dist_50  vcs_committer_percent_dist_60  \\\n",
       "0                            Yes                            1.0   \n",
       "1                             No                            4.0   \n",
       "2                            Yes                            1.0   \n",
       "3                             No                            3.0   \n",
       "4                            Yes                            2.0   \n",
       "\n",
       "   vcs_committer_percent_dist_70 vcs_committer_percent_dist_80  \\\n",
       "0                            1.0                           1.0   \n",
       "1                            5.0                           6.0   \n",
       "2                            1.0                           1.0   \n",
       "3                            4.0                           5.0   \n",
       "4                            2.0                           3.0   \n",
       "\n",
       "   vcs_committer_percent_dist_90  vcs_committer_percent_dist_95  \\\n",
       "0                            1.0                           10.0   \n",
       "1                            8.0                           13.0   \n",
       "2                            1.0                            1.0   \n",
       "3                            9.0                           11.0   \n",
       "4                            3.0                            4.0   \n",
       "\n",
       "   vcs_committer_percent_dist_99  vcs_committer_top_5_0  \\\n",
       "0                           34.0                 0.9046   \n",
       "1                           23.0                 0.2339   \n",
       "2                            1.0                 0.9961   \n",
       "3                           20.0                 0.2333   \n",
       "4                            6.0                 0.5088   \n",
       "\n",
       "   vcs_committer_top_5_1  vcs_committer_top_5_2  vcs_committer_top_5_3  \\\n",
       "0                 0.0085                 0.0053                 0.0053   \n",
       "1                 0.1698                 0.1557                 0.1021   \n",
       "2                 0.0020                 0.0020                    NaN   \n",
       "3                 0.2116                 0.1679                 0.1403   \n",
       "4                 0.2311                 0.1738                 0.0573   \n",
       "\n",
       "   vcs_committer_top_5_4  vcs_first_commit  vcs_latest_commit  \\\n",
       "0                 0.0053        2017-05-05         2019-10-01   \n",
       "1                 0.0968        2012-09-15         2019-08-22   \n",
       "2                    NaN        2010-03-19         2018-08-02   \n",
       "3                 0.0469        2006-11-28         2019-06-25   \n",
       "4                 0.0170        2018-02-05         2019-09-21   \n",
       "\n",
       "   vcs_minor_committer_counts_1 vcs_minor_committer_counts_2  \\\n",
       "0                          21.0                         31.0   \n",
       "1                          17.0                         24.0   \n",
       "2                           2.0                          2.0   \n",
       "3                          34.0                         42.0   \n",
       "4                           3.0                          5.0   \n",
       "\n",
       "  vcs_minor_committer_counts_3  vcs_minor_committer_counts_4  \\\n",
       "0                         34.0                          37.0   \n",
       "1                         27.0                          27.0   \n",
       "2                          2.0                           2.0   \n",
       "3                         44.0                          48.0   \n",
       "4                          5.0                           5.0   \n",
       "\n",
       "   vcs_minor_committer_counts_5  vcs_vcs_name  py23_compat  age_commit  \\\n",
       "0                          41.0           git          py3       879.0   \n",
       "1                          29.0           git          py2      2532.0   \n",
       "2                           2.0           git         py23      3058.0   \n",
       "3                          49.0           git          py2      4592.0   \n",
       "4                           5.0           git          py3       593.0   \n",
       "\n",
       "  py3_compat  \n",
       "0       True  \n",
       "1      False  \n",
       "2       True  \n",
       "3      False  \n",
       "4       True  \n",
       "\n",
       "[5 rows x 189 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apa_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pie = m_pieplot(\n",
    "    apa_df\n",
    "    .groupby('arch_dep_concurrency')\n",
    "    .count()\n",
    "    .sort_values('arch_dep_concurrency', ascending=False))\n",
    "#plt.title(\"Dep Concurrency Breakdown\", weight='bold', pad = 40, size=20)\n",
    "plt.ylabel(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Concurrency')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "concurrency_df = apa_df.dropna(subset=['arch_dep_concurrency'])\n",
    "concurrency_df = concurrency_df.dropna(subset=['vcs_first_commit'])\n",
    "\n",
    "fig = plt.figure(figsize = (13, 8))\n",
    "#plt.yticks(rotation=90)\n",
    "sns.set(font_scale=1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"vcs_first_commit\", y=\"arch_dep_concurrency\", data=concurrency_df)\n",
    "\n",
    "plt.xlabel(\"Start Date\")\n",
    "plt.ylabel(\"Concurrency\")\n",
    "#plt.title(\"Start Date / Concurrency\", weight='bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pie = m_pieplot(\n",
    "    apa_df\n",
    "    .groupby('arch_dep_gui_framework')\n",
    "    .count()\n",
    "    .sort_values('arch_dep_gui_framework', ascending=False))\n",
    "#plt.title(\"Dep GUI Framework Breakdown\", weight='bold', pad = 40, size=20)\n",
    "plt.ylabel(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>arch_dep_gui_framework</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>355</td>\n",
       "      <td>qt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>356</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>357</td>\n",
       "      <td>wx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>358</td>\n",
       "      <td>gtk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>359</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>360 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    arch_dep_gui_framework\n",
       "0                      NaN\n",
       "1                      NaN\n",
       "2                      NaN\n",
       "3                      NaN\n",
       "4                      NaN\n",
       "..                     ...\n",
       "355                     qt\n",
       "356                    NaN\n",
       "357                     wx\n",
       "358                    gtk\n",
       "359                    NaN\n",
       "\n",
       "[360 rows x 1 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apa_df[['arch_dep_gui_framework']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'GUI Framework')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "guiframework_df = apa_df.dropna(subset=['arch_dep_gui_framework'])\n",
    "guiframework_df = guiframework_df.dropna(subset=['vcs_first_commit'])\n",
    "\n",
    "fig = plt.figure(figsize = (13, 8))\n",
    "#plt.yticks(rotation=90)\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"vcs_first_commit\", y=\"arch_dep_gui_framework\", data=guiframework_df)\n",
    "plt.xlabel(\"Start Date\")\n",
    "plt.ylabel(\"GUI Framework\")\n",
    "#plt.title(\"Start Date / GUI Framework\", weight='bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pie = m_pieplot(\n",
    "    apa_df\n",
    "    .groupby('arch_dep_server_framework')\n",
    "    .count()\n",
    "    .sort_values('arch_dep_server_framework', ascending=False))\n",
    "#plt.title(\"Dep Server Framework Breakdown\", weight='bold', pad = 50, size=20)\n",
    "plt.ylabel(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Server Framework')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "serverframework_df = apa_df.dropna(subset=['arch_dep_server_framework'])\n",
    "serverframework_df = serverframework_df.dropna(subset=['vcs_first_commit'])\n",
    "\n",
    "fig = plt.figure(figsize = (13, 8))\n",
    "sns.set(font_scale=1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"vcs_first_commit\", y=\"arch_dep_server_framework\", data=serverframework_df)\n",
    "plt.xlabel(\"Start Date\")\n",
    "plt.ylabel(\"Server Framework\")\n",
    "#plt.title(\"Start Date / Server Framework\", weight='bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (13, 8))\n",
    "plt.xticks(rotation=90)\n",
    "sns.set(font_scale=1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"topic_primary_fq\", y=\"gh_stars\", data=apa_df)\n",
    "plt.xlabel(\"Primary Topic\")\n",
    "plt.ylabel(\"Stars\")\n",
    "#plt.title(\"GitHub Stars / Primary Topic\", weight='bold')\n",
    "\n",
    "fig.set_facecolor('#45AFDC00')\n",
    "ax.set_facecolor('#00000000')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (13, 8))\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.set(style=\"white\")\n",
    "result = apa_df.groupby([\"topic_primary\"])['gh_stars'].aggregate(np.average).reset_index().sort_values('gh_stars')\n",
    "ax = sns.barplot(x='gh_stars', y=\"topic_primary\", data=apa_df, ci=None, \n",
    "                 order=result['topic_primary'][::-1], palette=PALETTE)\n",
    "plt.xlabel(\"Average Stars\")\n",
    "plt.ylabel(\"Primary Topic\")\n",
    "#plt.title(\"Average GitHub Stars / Primary Topics\", weight = 'bold')\n",
    "\n",
    "fig.set_facecolor('#45AFDC00')\n",
    "ax.set_facecolor('#00000000')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "stars_df = apa_df.dropna(subset=['topic_primary_fq'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mayoubi/.local/lib/python3.6/site-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  after removing the cwd from sys.path.\n"
     ]
    }
   ],
   "source": [
    "def is_topic_dev(x):\n",
    "    return x.startswith(\"dev\")\n",
    "\n",
    "stars_df['is_dev'] = stars_df['topic_primary_fq'].apply(is_topic_dev)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "#order_stars.value_counts().sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(13,8))\n",
    "sns.set(font_scale=1.5)\n",
    "sns.set_style(\"white\")\n",
    "\n",
    "plt.xticks(rotation = 90)\n",
    "order = list(stars_df[stars_df['is_dev']].groupby('topic_primary').count().sort_values('name', ascending=False)['name'].index)\n",
    "result = sns.countplot(x='topic_primary', data=stars_df[stars_df['is_dev']], palette=\"Blues_d\", order=order)\n",
    "plt.xlabel(\"Primary Topics\")\n",
    "plt.ylabel(\"Count\")\n",
    "#plt.title(\"Developer Applications\", weight=\"bold\")\n",
    "\n",
    "fig.set_facecolor('#45AFDC00')\n",
    "ax.set_facecolor('#00000000')\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (13, 8))\n",
    "plt.xticks(rotation=90)\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"topic_primary\", y=\"gh_stars\", hue = \"is_dev\", data=stars_df)\n",
    "\n",
    "plt.xlabel(\"Primary Topic\")\n",
    "plt.ylabel(\"Stars\")\n",
    "#plt.title(\"GitHub Stars / Primary Topic\", weight='bold')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=1, borderaxespad=0.)\n",
    "ax.legend(loc='center right', title=\"Topic is Dev\", bbox_to_anchor=(1.25, 0.5), ncol=1)\n",
    "\n",
    "fig.set_facecolor('#45AFDC00')\n",
    "ax.set_facecolor('#00000000')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "starsdev_df = stars_df.dropna(subset=['is_dev'])\n",
    "starsdev_df['is_dev'] = starsdev_df['is_dev'].astype(str)\n",
    "\n",
    "fig = plt.figure(figsize = (13, 8))\n",
    "#plt.xticks(rotation=90)\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"is_dev\", y=\"gh_stars\", data=starsdev_df)\n",
    "\n",
    "plt.ylabel(\"Stars\")\n",
    "plt.xlabel(\"Is Dev\")\n",
    "#plt.title(\"GitHub Stars / Is Dev\", weight='bold')\n",
    "\n",
    "fig.set_facecolor('#45AFDC00')\n",
    "ax.set_facecolor('#00000000')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>arch_compat_min_py2</th>\n",
       "      <th>arch_compat_min_py3</th>\n",
       "      <th>arch_dep_concurrency</th>\n",
       "      <th>arch_dep_gui_framework</th>\n",
       "      <th>arch_dep_server_framework</th>\n",
       "      <th>arch_pkg_container</th>\n",
       "      <th>arch_pkg_freezer</th>\n",
       "      <th>arch_type</th>\n",
       "      <th>gh_forks</th>\n",
       "      <th>gh_has_wiki</th>\n",
       "      <th>gh_license</th>\n",
       "      <th>gh_open_issues</th>\n",
       "      <th>gh_size</th>\n",
       "      <th>gh_stars</th>\n",
       "      <th>gh_watchers</th>\n",
       "      <th>license_hereditary</th>\n",
       "      <th>license_license</th>\n",
       "      <th>license_license_group</th>\n",
       "      <th>sloc_ratio_other</th>\n",
       "      <th>sloc_ratio_autoconf</th>\n",
       "      <th>sloc_ratio_c</th>\n",
       "      <th>sloc_ratio_coffeescript</th>\n",
       "      <th>sloc_ratio_coq</th>\n",
       "      <th>sloc_ratio_cpp</th>\n",
       "      <th>sloc_ratio_css</th>\n",
       "      <th>sloc_ratio_dockerfile</th>\n",
       "      <th>sloc_ratio_go</th>\n",
       "      <th>sloc_ratio_haskell</th>\n",
       "      <th>sloc_ratio_html</th>\n",
       "      <th>sloc_ratio_java</th>\n",
       "      <th>sloc_ratio_javascript</th>\n",
       "      <th>sloc_ratio_jsx</th>\n",
       "      <th>sloc_ratio_less</th>\n",
       "      <th>sloc_ratio_lua</th>\n",
       "      <th>sloc_ratio_markdown</th>\n",
       "      <th>sloc_ratio_meson</th>\n",
       "      <th>sloc_ratio_objectivec</th>\n",
       "      <th>sloc_ratio_python</th>\n",
       "      <th>sloc_ratio_qml</th>\n",
       "      <th>sloc_ratio_restructuredtext</th>\n",
       "      <th>sloc_ratio_rust</th>\n",
       "      <th>sloc_ratio_sass</th>\n",
       "      <th>sloc_ratio_sh</th>\n",
       "      <th>sloc_ratio_sql</th>\n",
       "      <th>sloc_ratio_systemverilog</th>\n",
       "      <th>sloc_ratio_tex</th>\n",
       "      <th>sloc_ratio_typescript</th>\n",
       "      <th>sloc_ratio_vue</th>\n",
       "      <th>sloc_ratio_xml</th>\n",
       "      <th>sloc_ratio_xsl</th>\n",
       "      <th>sloc_ratio_yaml</th>\n",
       "      <th>sloc_total_blanks</th>\n",
       "      <th>sloc_total_code</th>\n",
       "      <th>sloc_total_comments</th>\n",
       "      <th>sloc_total_dirs</th>\n",
       "      <th>sloc_total_files</th>\n",
       "      <th>sloc_total_lines</th>\n",
       "      <th>sloc_actionscript</th>\n",
       "      <th>sloc_asp</th>\n",
       "      <th>sloc_assembly</th>\n",
       "      <th>sloc_autoconf</th>\n",
       "      <th>sloc_automake</th>\n",
       "      <th>sloc_bash</th>\n",
       "      <th>sloc_batch</th>\n",
       "      <th>sloc_c</th>\n",
       "      <th>sloc_c_code</th>\n",
       "      <th>sloc_c_comments</th>\n",
       "      <th>sloc_c_files</th>\n",
       "      <th>sloc_cabal</th>\n",
       "      <th>sloc_cmake</th>\n",
       "      <th>sloc_coffeescript</th>\n",
       "      <th>sloc_coq</th>\n",
       "      <th>sloc_cpp</th>\n",
       "      <th>sloc_cpp_code</th>\n",
       "      <th>sloc_cpp_comments</th>\n",
       "      <th>sloc_cpp_files</th>\n",
       "      <th>sloc_csharp</th>\n",
       "      <th>sloc_cshell</th>\n",
       "      <th>sloc_css</th>\n",
       "      <th>sloc_d</th>\n",
       "      <th>sloc_dockerfile</th>\n",
       "      <th>sloc_dotnetresource</th>\n",
       "      <th>sloc_elisp</th>\n",
       "      <th>sloc_elixir</th>\n",
       "      <th>sloc_fish</th>\n",
       "      <th>sloc_forth</th>\n",
       "      <th>sloc_fortranlegacy</th>\n",
       "      <th>sloc_fortranmodern</th>\n",
       "      <th>sloc_glsl</th>\n",
       "      <th>sloc_go</th>\n",
       "      <th>sloc_graphql</th>\n",
       "      <th>sloc_groovy</th>\n",
       "      <th>...</th>\n",
       "      <th>sloc_html</th>\n",
       "      <th>sloc_java</th>\n",
       "      <th>sloc_javascript</th>\n",
       "      <th>sloc_jsx</th>\n",
       "      <th>sloc_less</th>\n",
       "      <th>sloc_llvm</th>\n",
       "      <th>sloc_lua</th>\n",
       "      <th>sloc_makefile</th>\n",
       "      <th>sloc_markdown</th>\n",
       "      <th>sloc_meson</th>\n",
       "      <th>sloc_moduledef</th>\n",
       "      <th>sloc_msbuild</th>\n",
       "      <th>sloc_mustache</th>\n",
       "      <th>sloc_nix</th>\n",
       "      <th>sloc_objectivec</th>\n",
       "      <th>sloc_objectivecpp</th>\n",
       "      <th>sloc_org</th>\n",
       "      <th>sloc_pascal</th>\n",
       "      <th>sloc_perl</th>\n",
       "      <th>sloc_php</th>\n",
       "      <th>sloc_prolog</th>\n",
       "      <th>sloc_protobuf</th>\n",
       "      <th>sloc_python</th>\n",
       "      <th>sloc_python_code</th>\n",
       "      <th>sloc_python_comments</th>\n",
       "      <th>sloc_python_files</th>\n",
       "      <th>sloc_qml</th>\n",
       "      <th>sloc_r</th>\n",
       "      <th>sloc_rakefile</th>\n",
       "      <th>sloc_restructuredtext</th>\n",
       "      <th>sloc_rpmspecfile</th>\n",
       "      <th>sloc_ruby</th>\n",
       "      <th>sloc_rubyhtml</th>\n",
       "      <th>sloc_rust</th>\n",
       "      <th>sloc_sass</th>\n",
       "      <th>sloc_scala</th>\n",
       "      <th>sloc_scheme</th>\n",
       "      <th>sloc_scons</th>\n",
       "      <th>sloc_sh</th>\n",
       "      <th>sloc_sql</th>\n",
       "      <th>sloc_srecode</th>\n",
       "      <th>sloc_swift</th>\n",
       "      <th>sloc_swig</th>\n",
       "      <th>sloc_systemverilog</th>\n",
       "      <th>sloc_tcl</th>\n",
       "      <th>sloc_tex</th>\n",
       "      <th>sloc_toml</th>\n",
       "      <th>sloc_typescript</th>\n",
       "      <th>sloc_vala</th>\n",
       "      <th>sloc_vb6</th>\n",
       "      <th>sloc_vimscript</th>\n",
       "      <th>sloc_visualstudioproject</th>\n",
       "      <th>sloc_visualstudiosolution</th>\n",
       "      <th>sloc_vue</th>\n",
       "      <th>sloc_xml</th>\n",
       "      <th>sloc_xsl</th>\n",
       "      <th>sloc_yaml</th>\n",
       "      <th>sloc_zsh</th>\n",
       "      <th>topic_primary</th>\n",
       "      <th>topic_primary_fq</th>\n",
       "      <th>topic_secondary</th>\n",
       "      <th>topic_secondary_fq</th>\n",
       "      <th>vcs_commit_count</th>\n",
       "      <th>vcs_committer_count</th>\n",
       "      <th>vcs_committer_percent_dist_10</th>\n",
       "      <th>vcs_committer_percent_dist_100</th>\n",
       "      <th>vcs_committer_percent_dist_20</th>\n",
       "      <th>vcs_committer_percent_dist_30</th>\n",
       "      <th>vcs_committer_percent_dist_40</th>\n",
       "      <th>vcs_committer_percent_dist_50</th>\n",
       "      <th>vcs_committer_percent_dist_60</th>\n",
       "      <th>vcs_committer_percent_dist_70</th>\n",
       "      <th>vcs_committer_percent_dist_80</th>\n",
       "      <th>vcs_committer_percent_dist_90</th>\n",
       "      <th>vcs_committer_percent_dist_95</th>\n",
       "      <th>vcs_committer_percent_dist_99</th>\n",
       "      <th>vcs_committer_top_5_0</th>\n",
       "      <th>vcs_committer_top_5_1</th>\n",
       "      <th>vcs_committer_top_5_2</th>\n",
       "      <th>vcs_committer_top_5_3</th>\n",
       "      <th>vcs_committer_top_5_4</th>\n",
       "      <th>vcs_first_commit</th>\n",
       "      <th>vcs_latest_commit</th>\n",
       "      <th>vcs_minor_committer_counts_1</th>\n",
       "      <th>vcs_minor_committer_counts_2</th>\n",
       "      <th>vcs_minor_committer_counts_3</th>\n",
       "      <th>vcs_minor_committer_counts_4</th>\n",
       "      <th>vcs_minor_committer_counts_5</th>\n",
       "      <th>vcs_vcs_name</th>\n",
       "      <th>py23_compat</th>\n",
       "      <th>age_commit</th>\n",
       "      <th>py3_compat</th>\n",
       "      <th>is_dev</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>youtube_dl</td>\n",
       "      <td>2.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>py2exe</td>\n",
       "      <td>desktop</td>\n",
       "      <td>9740.0</td>\n",
       "      <td>False</td>\n",
       "      <td>The Unlicense</td>\n",
       "      <td>3054.0</td>\n",
       "      <td>56638.0</td>\n",
       "      <td>56117.0</td>\n",
       "      <td>1792.0</td>\n",
       "      <td>True</td>\n",
       "      <td>Unlicense</td>\n",
       "      <td>Unlicense</td>\n",
       "      <td>0.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.97</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16751.0</td>\n",
       "      <td>129280.0</td>\n",
       "      <td>4259.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>1050.0</td>\n",
       "      <td>150290.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>312.0</td>\n",
       "      <td>3042.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>146153.0</td>\n",
       "      <td>125381.0</td>\n",
       "      <td>4170.0</td>\n",
       "      <td>870.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>230.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>internet</td>\n",
       "      <td>internet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17285.0</td>\n",
       "      <td>798.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>798.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>No</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>626.0</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.2194</td>\n",
       "      <td>0.0851</td>\n",
       "      <td>0.0815</td>\n",
       "      <td>0.0803</td>\n",
       "      <td>2008-07-21</td>\n",
       "      <td>2019-10-01</td>\n",
       "      <td>474.0</td>\n",
       "      <td>599.0</td>\n",
       "      <td>655.0</td>\n",
       "      <td>690.0</td>\n",
       "      <td>714.0</td>\n",
       "      <td>git</td>\n",
       "      <td>py2</td>\n",
       "      <td>4089.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 190 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          name  arch_compat_min_py2  arch_compat_min_py3 arch_dep_concurrency  \\\n",
       "28  youtube_dl                  2.7                  NaN                  NaN   \n",
       "\n",
       "   arch_dep_gui_framework arch_dep_server_framework arch_pkg_container  \\\n",
       "28                    NaN                       NaN                NaN   \n",
       "\n",
       "   arch_pkg_freezer arch_type  gh_forks gh_has_wiki     gh_license  \\\n",
       "28           py2exe   desktop    9740.0       False  The Unlicense   \n",
       "\n",
       "    gh_open_issues  gh_size  gh_stars  gh_watchers license_hereditary  \\\n",
       "28          3054.0  56638.0   56117.0       1792.0               True   \n",
       "\n",
       "   license_license license_license_group  sloc_ratio_other  \\\n",
       "28       Unlicense             Unlicense              0.03   \n",
       "\n",
       "    sloc_ratio_autoconf  sloc_ratio_c  sloc_ratio_coffeescript  \\\n",
       "28                  NaN           NaN                      NaN   \n",
       "\n",
       "    sloc_ratio_coq  sloc_ratio_cpp  sloc_ratio_css  sloc_ratio_dockerfile  \\\n",
       "28             NaN             NaN             NaN                    NaN   \n",
       "\n",
       "    sloc_ratio_go  sloc_ratio_haskell  sloc_ratio_html  sloc_ratio_java  \\\n",
       "28            NaN                 NaN              NaN              NaN   \n",
       "\n",
       "    sloc_ratio_javascript  sloc_ratio_jsx  sloc_ratio_less  sloc_ratio_lua  \\\n",
       "28                    NaN             NaN              NaN             NaN   \n",
       "\n",
       "    sloc_ratio_markdown  sloc_ratio_meson  sloc_ratio_objectivec  \\\n",
       "28                  NaN               NaN                    NaN   \n",
       "\n",
       "    sloc_ratio_python  sloc_ratio_qml  sloc_ratio_restructuredtext  \\\n",
       "28               0.97             NaN                          NaN   \n",
       "\n",
       "    sloc_ratio_rust  sloc_ratio_sass  sloc_ratio_sh  sloc_ratio_sql  \\\n",
       "28              NaN              NaN            NaN             NaN   \n",
       "\n",
       "    sloc_ratio_systemverilog  sloc_ratio_tex  sloc_ratio_typescript  \\\n",
       "28                       NaN             NaN                    NaN   \n",
       "\n",
       "    sloc_ratio_vue  sloc_ratio_xml  sloc_ratio_xsl  sloc_ratio_yaml  \\\n",
       "28             NaN             NaN             NaN              NaN   \n",
       "\n",
       "    sloc_total_blanks  sloc_total_code  sloc_total_comments  sloc_total_dirs  \\\n",
       "28            16751.0         129280.0               4259.0             94.0   \n",
       "\n",
       "    sloc_total_files  sloc_total_lines  sloc_actionscript  sloc_asp  \\\n",
       "28            1050.0          150290.0              265.0       NaN   \n",
       "\n",
       "    sloc_assembly  sloc_autoconf  sloc_automake  sloc_bash  sloc_batch  \\\n",
       "28            NaN           71.0            NaN        NaN         NaN   \n",
       "\n",
       "    sloc_c  sloc_c_code  sloc_c_comments  sloc_c_files  sloc_cabal  \\\n",
       "28     NaN          NaN              NaN           NaN         NaN   \n",
       "\n",
       "    sloc_cmake  sloc_coffeescript  sloc_coq  sloc_cpp  sloc_cpp_code  \\\n",
       "28         NaN                NaN       NaN       NaN            NaN   \n",
       "\n",
       "    sloc_cpp_comments  sloc_cpp_files  sloc_csharp  sloc_cshell  sloc_css  \\\n",
       "28                NaN             NaN          NaN          NaN       NaN   \n",
       "\n",
       "    sloc_d  sloc_dockerfile  sloc_dotnetresource  sloc_elisp  sloc_elixir  \\\n",
       "28     NaN              NaN                  NaN         NaN          NaN   \n",
       "\n",
       "    sloc_fish  sloc_forth  sloc_fortranlegacy  sloc_fortranmodern  sloc_glsl  \\\n",
       "28        NaN         NaN                 NaN                 NaN        NaN   \n",
       "\n",
       "    sloc_go  sloc_graphql  sloc_groovy  ...  sloc_html  sloc_java  \\\n",
       "28      NaN           NaN          NaN  ...        NaN        NaN   \n",
       "\n",
       "    sloc_javascript  sloc_jsx  sloc_less  sloc_llvm  sloc_lua  sloc_makefile  \\\n",
       "28              NaN       NaN        NaN        NaN       NaN          312.0   \n",
       "\n",
       "    sloc_markdown  sloc_meson  sloc_moduledef  sloc_msbuild  sloc_mustache  \\\n",
       "28         3042.0         NaN             NaN           NaN            NaN   \n",
       "\n",
       "    sloc_nix  sloc_objectivec  sloc_objectivecpp  sloc_org  sloc_pascal  \\\n",
       "28       NaN              NaN                NaN       NaN          NaN   \n",
       "\n",
       "    sloc_perl  sloc_php  sloc_prolog  sloc_protobuf  sloc_python  \\\n",
       "28        NaN       NaN          NaN            NaN     146153.0   \n",
       "\n",
       "    sloc_python_code  sloc_python_comments  sloc_python_files  sloc_qml  \\\n",
       "28          125381.0                4170.0              870.0       NaN   \n",
       "\n",
       "    sloc_r  sloc_rakefile  sloc_restructuredtext  sloc_rpmspecfile  sloc_ruby  \\\n",
       "28     NaN            NaN                   90.0               NaN        NaN   \n",
       "\n",
       "    sloc_rubyhtml  sloc_rust  sloc_sass  sloc_scala  sloc_scheme  sloc_scons  \\\n",
       "28            NaN        NaN        NaN         NaN          NaN         NaN   \n",
       "\n",
       "    sloc_sh  sloc_sql  sloc_srecode  sloc_swift  sloc_swig  \\\n",
       "28    230.0       NaN           NaN         NaN        NaN   \n",
       "\n",
       "    sloc_systemverilog  sloc_tcl  sloc_tex  sloc_toml  sloc_typescript  \\\n",
       "28                 NaN       NaN       NaN        NaN              NaN   \n",
       "\n",
       "    sloc_vala  sloc_vb6  sloc_vimscript  sloc_visualstudioproject  \\\n",
       "28        NaN       NaN             NaN                       NaN   \n",
       "\n",
       "    sloc_visualstudiosolution  sloc_vue  sloc_xml  sloc_xsl  sloc_yaml  \\\n",
       "28                        NaN       NaN       NaN       NaN        NaN   \n",
       "\n",
       "    sloc_zsh  topic_primary  topic_primary_fq  topic_secondary  \\\n",
       "28       NaN       internet          internet              NaN   \n",
       "\n",
       "    topic_secondary_fq vcs_commit_count vcs_committer_count  \\\n",
       "28                 NaN          17285.0               798.0   \n",
       "\n",
       "   vcs_committer_percent_dist_10 vcs_committer_percent_dist_100  \\\n",
       "28                           1.0                          798.0   \n",
       "\n",
       "    vcs_committer_percent_dist_20  vcs_committer_percent_dist_30  \\\n",
       "28                            1.0                            1.0   \n",
       "\n",
       "    vcs_committer_percent_dist_40  vcs_committer_percent_dist_50  \\\n",
       "28                            2.0                             No   \n",
       "\n",
       "    vcs_committer_percent_dist_60  vcs_committer_percent_dist_70  \\\n",
       "28                            3.0                            4.0   \n",
       "\n",
       "    vcs_committer_percent_dist_80 vcs_committer_percent_dist_90  \\\n",
       "28                            5.0                          23.0   \n",
       "\n",
       "    vcs_committer_percent_dist_95  vcs_committer_percent_dist_99  \\\n",
       "28                          153.0                          626.0   \n",
       "\n",
       "    vcs_committer_top_5_0  vcs_committer_top_5_1  vcs_committer_top_5_2  \\\n",
       "28                   0.36                 0.2194                 0.0851   \n",
       "\n",
       "    vcs_committer_top_5_3  vcs_committer_top_5_4  vcs_first_commit  \\\n",
       "28                 0.0815                 0.0803        2008-07-21   \n",
       "\n",
       "    vcs_latest_commit  vcs_minor_committer_counts_1  \\\n",
       "28         2019-10-01                         474.0   \n",
       "\n",
       "    vcs_minor_committer_counts_2 vcs_minor_committer_counts_3  \\\n",
       "28                         599.0                        655.0   \n",
       "\n",
       "   vcs_minor_committer_counts_4  vcs_minor_committer_counts_5  vcs_vcs_name  \\\n",
       "28                        690.0                         714.0           git   \n",
       "\n",
       "    py23_compat  age_commit  py3_compat is_dev  \n",
       "28          py2      4089.0       False  False  \n",
       "\n",
       "[1 rows x 190 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stars_df[stars_df['gh_stars'] == stars_df['gh_stars'].max()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.25     23744.0\n",
       "0.50     63438.0\n",
       "0.75    158077.0\n",
       "Name: sloc_total_lines, dtype: float64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apa_df.sloc_total_lines.quantile([0.25,0.5,0.75])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "def lines_size(x):\n",
    "    if x <= 30501.0:\n",
    "        return \"Small\"\n",
    "    if x >= 168724.0:\n",
    "        return \"Large\"\n",
    "    return \"Medium\"\n",
    "\n",
    "apa_df['size_total_lines'] = apa_df['sloc_total_lines'].apply(lines_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Count')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(13,8))\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.set_style(\"white\")\n",
    "sns.countplot(x='size_total_lines',data=apa_df, palette=PALETTE, order=['Small', 'Medium', 'Large'])\n",
    "\n",
    "plt.xlabel(\"Size of Total Lines\")\n",
    "plt.ylabel(\"Count\")\n",
    "#plt.title(\"Size of Total Lines\", weight='bold')\n",
    "\n",
    "#fig.set_facecolor('#45AFDC00')\n",
    "#ax.set_facecolor('#00000000')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (13, 8))\n",
    "plt.xticks(rotation=90)\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"license_license\", y=\"sloc_total_lines\", hue = 'vcs_committer_percent_dist_50', data=apa_df)\n",
    "\n",
    "plt.xlabel(\"License\")\n",
    "plt.ylabel(\"Total Lines\")\n",
    "#plt.title(\"Total Lines / License\", weight='bold')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=1, borderaxespad=0.)\n",
    "ax.legend(loc='center right', title=\"Committer Dist 50%\", bbox_to_anchor=(1.29, 0.5), ncol=1)\n",
    "\n",
    "fig.set_facecolor('#45AFDC00')\n",
    "ax.set_facecolor('#00000000')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>arch_compat_min_py2</th>\n",
       "      <th>arch_compat_min_py3</th>\n",
       "      <th>arch_dep_concurrency</th>\n",
       "      <th>arch_dep_gui_framework</th>\n",
       "      <th>arch_dep_server_framework</th>\n",
       "      <th>arch_pkg_container</th>\n",
       "      <th>arch_pkg_freezer</th>\n",
       "      <th>arch_type</th>\n",
       "      <th>gh_forks</th>\n",
       "      <th>gh_has_wiki</th>\n",
       "      <th>gh_license</th>\n",
       "      <th>gh_open_issues</th>\n",
       "      <th>gh_size</th>\n",
       "      <th>gh_stars</th>\n",
       "      <th>gh_watchers</th>\n",
       "      <th>license_hereditary</th>\n",
       "      <th>license_license</th>\n",
       "      <th>license_license_group</th>\n",
       "      <th>sloc_ratio_other</th>\n",
       "      <th>sloc_ratio_autoconf</th>\n",
       "      <th>sloc_ratio_c</th>\n",
       "      <th>sloc_ratio_coffeescript</th>\n",
       "      <th>sloc_ratio_coq</th>\n",
       "      <th>sloc_ratio_cpp</th>\n",
       "      <th>sloc_ratio_css</th>\n",
       "      <th>sloc_ratio_dockerfile</th>\n",
       "      <th>sloc_ratio_go</th>\n",
       "      <th>sloc_ratio_haskell</th>\n",
       "      <th>sloc_ratio_html</th>\n",
       "      <th>sloc_ratio_java</th>\n",
       "      <th>sloc_ratio_javascript</th>\n",
       "      <th>sloc_ratio_jsx</th>\n",
       "      <th>sloc_ratio_less</th>\n",
       "      <th>sloc_ratio_lua</th>\n",
       "      <th>sloc_ratio_markdown</th>\n",
       "      <th>sloc_ratio_meson</th>\n",
       "      <th>sloc_ratio_objectivec</th>\n",
       "      <th>sloc_ratio_python</th>\n",
       "      <th>sloc_ratio_qml</th>\n",
       "      <th>sloc_ratio_restructuredtext</th>\n",
       "      <th>sloc_ratio_rust</th>\n",
       "      <th>sloc_ratio_sass</th>\n",
       "      <th>sloc_ratio_sh</th>\n",
       "      <th>sloc_ratio_sql</th>\n",
       "      <th>sloc_ratio_systemverilog</th>\n",
       "      <th>sloc_ratio_tex</th>\n",
       "      <th>sloc_ratio_typescript</th>\n",
       "      <th>sloc_ratio_vue</th>\n",
       "      <th>sloc_ratio_xml</th>\n",
       "      <th>sloc_ratio_xsl</th>\n",
       "      <th>sloc_ratio_yaml</th>\n",
       "      <th>sloc_total_blanks</th>\n",
       "      <th>sloc_total_code</th>\n",
       "      <th>sloc_total_comments</th>\n",
       "      <th>sloc_total_dirs</th>\n",
       "      <th>sloc_total_files</th>\n",
       "      <th>sloc_total_lines</th>\n",
       "      <th>sloc_actionscript</th>\n",
       "      <th>sloc_asp</th>\n",
       "      <th>sloc_assembly</th>\n",
       "      <th>sloc_autoconf</th>\n",
       "      <th>sloc_automake</th>\n",
       "      <th>sloc_bash</th>\n",
       "      <th>sloc_batch</th>\n",
       "      <th>sloc_c</th>\n",
       "      <th>sloc_c_code</th>\n",
       "      <th>sloc_c_comments</th>\n",
       "      <th>sloc_c_files</th>\n",
       "      <th>sloc_cabal</th>\n",
       "      <th>sloc_cmake</th>\n",
       "      <th>sloc_coffeescript</th>\n",
       "      <th>sloc_coq</th>\n",
       "      <th>sloc_cpp</th>\n",
       "      <th>sloc_cpp_code</th>\n",
       "      <th>sloc_cpp_comments</th>\n",
       "      <th>sloc_cpp_files</th>\n",
       "      <th>sloc_csharp</th>\n",
       "      <th>sloc_cshell</th>\n",
       "      <th>sloc_css</th>\n",
       "      <th>sloc_d</th>\n",
       "      <th>sloc_dockerfile</th>\n",
       "      <th>sloc_dotnetresource</th>\n",
       "      <th>sloc_elisp</th>\n",
       "      <th>sloc_elixir</th>\n",
       "      <th>sloc_fish</th>\n",
       "      <th>sloc_forth</th>\n",
       "      <th>sloc_fortranlegacy</th>\n",
       "      <th>sloc_fortranmodern</th>\n",
       "      <th>sloc_glsl</th>\n",
       "      <th>sloc_go</th>\n",
       "      <th>sloc_graphql</th>\n",
       "      <th>sloc_groovy</th>\n",
       "      <th>...</th>\n",
       "      <th>sloc_html</th>\n",
       "      <th>sloc_java</th>\n",
       "      <th>sloc_javascript</th>\n",
       "      <th>sloc_jsx</th>\n",
       "      <th>sloc_less</th>\n",
       "      <th>sloc_llvm</th>\n",
       "      <th>sloc_lua</th>\n",
       "      <th>sloc_makefile</th>\n",
       "      <th>sloc_markdown</th>\n",
       "      <th>sloc_meson</th>\n",
       "      <th>sloc_moduledef</th>\n",
       "      <th>sloc_msbuild</th>\n",
       "      <th>sloc_mustache</th>\n",
       "      <th>sloc_nix</th>\n",
       "      <th>sloc_objectivec</th>\n",
       "      <th>sloc_objectivecpp</th>\n",
       "      <th>sloc_org</th>\n",
       "      <th>sloc_pascal</th>\n",
       "      <th>sloc_perl</th>\n",
       "      <th>sloc_php</th>\n",
       "      <th>sloc_prolog</th>\n",
       "      <th>sloc_protobuf</th>\n",
       "      <th>sloc_python</th>\n",
       "      <th>sloc_python_code</th>\n",
       "      <th>sloc_python_comments</th>\n",
       "      <th>sloc_python_files</th>\n",
       "      <th>sloc_qml</th>\n",
       "      <th>sloc_r</th>\n",
       "      <th>sloc_rakefile</th>\n",
       "      <th>sloc_restructuredtext</th>\n",
       "      <th>sloc_rpmspecfile</th>\n",
       "      <th>sloc_ruby</th>\n",
       "      <th>sloc_rubyhtml</th>\n",
       "      <th>sloc_rust</th>\n",
       "      <th>sloc_sass</th>\n",
       "      <th>sloc_scala</th>\n",
       "      <th>sloc_scheme</th>\n",
       "      <th>sloc_scons</th>\n",
       "      <th>sloc_sh</th>\n",
       "      <th>sloc_sql</th>\n",
       "      <th>sloc_srecode</th>\n",
       "      <th>sloc_swift</th>\n",
       "      <th>sloc_swig</th>\n",
       "      <th>sloc_systemverilog</th>\n",
       "      <th>sloc_tcl</th>\n",
       "      <th>sloc_tex</th>\n",
       "      <th>sloc_toml</th>\n",
       "      <th>sloc_typescript</th>\n",
       "      <th>sloc_vala</th>\n",
       "      <th>sloc_vb6</th>\n",
       "      <th>sloc_vimscript</th>\n",
       "      <th>sloc_visualstudioproject</th>\n",
       "      <th>sloc_visualstudiosolution</th>\n",
       "      <th>sloc_vue</th>\n",
       "      <th>sloc_xml</th>\n",
       "      <th>sloc_xsl</th>\n",
       "      <th>sloc_yaml</th>\n",
       "      <th>sloc_zsh</th>\n",
       "      <th>topic_primary</th>\n",
       "      <th>topic_primary_fq</th>\n",
       "      <th>topic_secondary</th>\n",
       "      <th>topic_secondary_fq</th>\n",
       "      <th>vcs_commit_count</th>\n",
       "      <th>vcs_committer_count</th>\n",
       "      <th>vcs_committer_percent_dist_10</th>\n",
       "      <th>vcs_committer_percent_dist_100</th>\n",
       "      <th>vcs_committer_percent_dist_20</th>\n",
       "      <th>vcs_committer_percent_dist_30</th>\n",
       "      <th>vcs_committer_percent_dist_40</th>\n",
       "      <th>vcs_committer_percent_dist_50</th>\n",
       "      <th>vcs_committer_percent_dist_60</th>\n",
       "      <th>vcs_committer_percent_dist_70</th>\n",
       "      <th>vcs_committer_percent_dist_80</th>\n",
       "      <th>vcs_committer_percent_dist_90</th>\n",
       "      <th>vcs_committer_percent_dist_95</th>\n",
       "      <th>vcs_committer_percent_dist_99</th>\n",
       "      <th>vcs_committer_top_5_0</th>\n",
       "      <th>vcs_committer_top_5_1</th>\n",
       "      <th>vcs_committer_top_5_2</th>\n",
       "      <th>vcs_committer_top_5_3</th>\n",
       "      <th>vcs_committer_top_5_4</th>\n",
       "      <th>vcs_first_commit</th>\n",
       "      <th>vcs_latest_commit</th>\n",
       "      <th>vcs_minor_committer_counts_1</th>\n",
       "      <th>vcs_minor_committer_counts_2</th>\n",
       "      <th>vcs_minor_committer_counts_3</th>\n",
       "      <th>vcs_minor_committer_counts_4</th>\n",
       "      <th>vcs_minor_committer_counts_5</th>\n",
       "      <th>vcs_vcs_name</th>\n",
       "      <th>py23_compat</th>\n",
       "      <th>age_commit</th>\n",
       "      <th>py3_compat</th>\n",
       "      <th>size_total_lines</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>196</td>\n",
       "      <td>erp5</td>\n",
       "      <td>2.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>zope</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>server</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other</td>\n",
       "      <td>Other</td>\n",
       "      <td>0.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>295050.0</td>\n",
       "      <td>10564060.0</td>\n",
       "      <td>276967.0</td>\n",
       "      <td>13636.0</td>\n",
       "      <td>83711.0</td>\n",
       "      <td>11136077.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>151827.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>70382.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1772457.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7164.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>582501.0</td>\n",
       "      <td>431025.0</td>\n",
       "      <td>83743.0</td>\n",
       "      <td>5627.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>968.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>267.0</td>\n",
       "      <td>10460.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1489.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8289791.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>erp</td>\n",
       "      <td>erp</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50620.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>No</td>\n",
       "      <td>10.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.1639</td>\n",
       "      <td>0.0761</td>\n",
       "      <td>0.0617</td>\n",
       "      <td>0.0595</td>\n",
       "      <td>0.0592</td>\n",
       "      <td>2002-12-10</td>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>9.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>git</td>\n",
       "      <td>py2</td>\n",
       "      <td>6140.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Large</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 190 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     name  arch_compat_min_py2  arch_compat_min_py3 arch_dep_concurrency  \\\n",
       "196  erp5                  2.7                  NaN                  NaN   \n",
       "\n",
       "    arch_dep_gui_framework arch_dep_server_framework arch_pkg_container  \\\n",
       "196                    NaN                      zope                NaN   \n",
       "\n",
       "    arch_pkg_freezer arch_type  gh_forks gh_has_wiki gh_license  \\\n",
       "196              NaN    server       NaN         NaN        NaN   \n",
       "\n",
       "     gh_open_issues  gh_size  gh_stars  gh_watchers license_hereditary  \\\n",
       "196             NaN      NaN       NaN          NaN                NaN   \n",
       "\n",
       "    license_license license_license_group  sloc_ratio_other  \\\n",
       "196           Other                 Other              0.05   \n",
       "\n",
       "     sloc_ratio_autoconf  sloc_ratio_c  sloc_ratio_coffeescript  \\\n",
       "196                  NaN           NaN                      NaN   \n",
       "\n",
       "     sloc_ratio_coq  sloc_ratio_cpp  sloc_ratio_css  sloc_ratio_dockerfile  \\\n",
       "196             NaN             NaN             NaN                    NaN   \n",
       "\n",
       "     sloc_ratio_go  sloc_ratio_haskell  sloc_ratio_html  sloc_ratio_java  \\\n",
       "196            NaN                 NaN              NaN              NaN   \n",
       "\n",
       "     sloc_ratio_javascript  sloc_ratio_jsx  sloc_ratio_less  sloc_ratio_lua  \\\n",
       "196                   0.16             NaN              NaN             NaN   \n",
       "\n",
       "     sloc_ratio_markdown  sloc_ratio_meson  sloc_ratio_objectivec  \\\n",
       "196                  NaN               NaN                    NaN   \n",
       "\n",
       "     sloc_ratio_python  sloc_ratio_qml  sloc_ratio_restructuredtext  \\\n",
       "196               0.05             NaN                          NaN   \n",
       "\n",
       "     sloc_ratio_rust  sloc_ratio_sass  sloc_ratio_sh  sloc_ratio_sql  \\\n",
       "196              NaN              NaN            NaN             NaN   \n",
       "\n",
       "     sloc_ratio_systemverilog  sloc_ratio_tex  sloc_ratio_typescript  \\\n",
       "196                       NaN             NaN                    NaN   \n",
       "\n",
       "     sloc_ratio_vue  sloc_ratio_xml  sloc_ratio_xsl  sloc_ratio_yaml  \\\n",
       "196             NaN            0.74             NaN              NaN   \n",
       "\n",
       "     sloc_total_blanks  sloc_total_code  sloc_total_comments  sloc_total_dirs  \\\n",
       "196           295050.0       10564060.0             276967.0          13636.0   \n",
       "\n",
       "     sloc_total_files  sloc_total_lines  sloc_actionscript  sloc_asp  \\\n",
       "196           83711.0        11136077.0                NaN       NaN   \n",
       "\n",
       "     sloc_assembly  sloc_autoconf  sloc_automake  sloc_bash  sloc_batch  \\\n",
       "196            NaN            NaN            NaN        NaN         NaN   \n",
       "\n",
       "     sloc_c  sloc_c_code  sloc_c_comments  sloc_c_files  sloc_cabal  \\\n",
       "196     NaN          NaN              NaN           NaN         NaN   \n",
       "\n",
       "     sloc_cmake  sloc_coffeescript  sloc_coq  sloc_cpp  sloc_cpp_code  \\\n",
       "196         NaN                NaN       NaN       NaN            NaN   \n",
       "\n",
       "     sloc_cpp_comments  sloc_cpp_files  sloc_csharp  sloc_cshell  sloc_css  \\\n",
       "196                NaN             NaN          NaN          NaN  151827.0   \n",
       "\n",
       "     sloc_d  sloc_dockerfile  sloc_dotnetresource  sloc_elisp  sloc_elixir  \\\n",
       "196     NaN              NaN                  NaN         NaN          NaN   \n",
       "\n",
       "     sloc_fish  sloc_forth  sloc_fortranlegacy  sloc_fortranmodern  sloc_glsl  \\\n",
       "196        NaN         NaN                 NaN                 NaN        NaN   \n",
       "\n",
       "     sloc_go  sloc_graphql  sloc_groovy  ...  sloc_html  sloc_java  \\\n",
       "196      NaN           NaN          NaN  ...    70382.0        NaN   \n",
       "\n",
       "     sloc_javascript  sloc_jsx  sloc_less  sloc_llvm  sloc_lua  sloc_makefile  \\\n",
       "196        1772457.0       NaN        NaN        NaN       NaN            NaN   \n",
       "\n",
       "     sloc_markdown  sloc_meson  sloc_moduledef  sloc_msbuild  sloc_mustache  \\\n",
       "196            NaN         NaN             NaN           NaN            NaN   \n",
       "\n",
       "     sloc_nix  sloc_objectivec  sloc_objectivecpp  sloc_org  sloc_pascal  \\\n",
       "196       NaN              NaN                NaN       NaN          NaN   \n",
       "\n",
       "     sloc_perl  sloc_php  sloc_prolog  sloc_protobuf  sloc_python  \\\n",
       "196        NaN    7164.0          NaN            NaN     582501.0   \n",
       "\n",
       "     sloc_python_code  sloc_python_comments  sloc_python_files  sloc_qml  \\\n",
       "196          431025.0               83743.0             5627.0       NaN   \n",
       "\n",
       "     sloc_r  sloc_rakefile  sloc_restructuredtext  sloc_rpmspecfile  \\\n",
       "196     NaN            NaN                  968.0               NaN   \n",
       "\n",
       "     sloc_ruby  sloc_rubyhtml  sloc_rust  sloc_sass  sloc_scala  sloc_scheme  \\\n",
       "196        NaN            NaN        NaN        NaN         NaN          NaN   \n",
       "\n",
       "     sloc_scons  sloc_sh  sloc_sql  sloc_srecode  sloc_swift  sloc_swig  \\\n",
       "196         NaN    267.0   10460.0           NaN         NaN        NaN   \n",
       "\n",
       "     sloc_systemverilog  sloc_tcl  sloc_tex  sloc_toml  sloc_typescript  \\\n",
       "196                 NaN       NaN       NaN        NaN           1489.0   \n",
       "\n",
       "     sloc_vala  sloc_vb6  sloc_vimscript  sloc_visualstudioproject  \\\n",
       "196        NaN       NaN             NaN                       NaN   \n",
       "\n",
       "     sloc_visualstudiosolution  sloc_vue   sloc_xml  sloc_xsl  sloc_yaml  \\\n",
       "196                        NaN       NaN  8289791.0      50.0        NaN   \n",
       "\n",
       "     sloc_zsh  topic_primary  topic_primary_fq  topic_secondary  \\\n",
       "196       NaN            erp               erp              NaN   \n",
       "\n",
       "     topic_secondary_fq vcs_commit_count vcs_committer_count  \\\n",
       "196                 NaN          50620.0               100.0   \n",
       "\n",
       "    vcs_committer_percent_dist_10 vcs_committer_percent_dist_100  \\\n",
       "196                           1.0                          100.0   \n",
       "\n",
       "     vcs_committer_percent_dist_20  vcs_committer_percent_dist_30  \\\n",
       "196                            2.0                            3.0   \n",
       "\n",
       "     vcs_committer_percent_dist_40  vcs_committer_percent_dist_50  \\\n",
       "196                            5.0                             No   \n",
       "\n",
       "     vcs_committer_percent_dist_60  vcs_committer_percent_dist_70  \\\n",
       "196                           10.0                           12.0   \n",
       "\n",
       "     vcs_committer_percent_dist_80 vcs_committer_percent_dist_90  \\\n",
       "196                           16.0                          23.0   \n",
       "\n",
       "     vcs_committer_percent_dist_95  vcs_committer_percent_dist_99  \\\n",
       "196                           31.0                           50.0   \n",
       "\n",
       "     vcs_committer_top_5_0  vcs_committer_top_5_1  vcs_committer_top_5_2  \\\n",
       "196                 0.1639                 0.0761                 0.0617   \n",
       "\n",
       "     vcs_committer_top_5_3  vcs_committer_top_5_4  vcs_first_commit  \\\n",
       "196                 0.0595                 0.0592        2002-12-10   \n",
       "\n",
       "     vcs_latest_commit  vcs_minor_committer_counts_1  \\\n",
       "196         2019-10-02                           9.0   \n",
       "\n",
       "     vcs_minor_committer_counts_2 vcs_minor_committer_counts_3  \\\n",
       "196                          14.0                         18.0   \n",
       "\n",
       "    vcs_minor_committer_counts_4  vcs_minor_committer_counts_5  vcs_vcs_name  \\\n",
       "196                         20.0                          22.0           git   \n",
       "\n",
       "     py23_compat  age_commit  py3_compat size_total_lines  \n",
       "196          py2      6140.0       False            Large  \n",
       "\n",
       "[1 rows x 190 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apa_df[apa_df['sloc_total_lines'] == apa_df['sloc_total_lines'].max()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '')"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pie = m_pieplot(\n",
    "    apa_df\n",
    "    .groupby('arch_pkg_container')\n",
    "    .count()\n",
    "    .sort_values('arch_pkg_container', ascending=False))\n",
    "plt.ylabel(\"\")\n",
    "#plt.title(\"Container Technology Breakdown\", weight='bold', pad = 40, size=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Container Technology')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "containerpkg_df = apa_df.dropna(subset=['arch_pkg_container'])\n",
    "containerpkg_df = containerpkg_df.dropna(subset=['vcs_first_commit'])\n",
    "\n",
    "fig = plt.figure(figsize = (13, 8))\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"vcs_first_commit\", y=\"arch_pkg_container\", data=containerpkg_df)\n",
    "\n",
    "plt.xlabel(\"Start Date\")\n",
    "plt.ylabel(\"Container Technology\")\n",
    "#plt.title(\"Start Date / Container Technology\", weight='bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pie = m_pieplot(\n",
    "    apa_df\n",
    "    .groupby('arch_pkg_freezer')\n",
    "    .count()\n",
    "    .sort_values('arch_pkg_freezer', ascending=False))\n",
    "plt.ylabel(\"\")\n",
    "#plt.title(\"Freezer Technology Breakdown\", weight='bold', pad = 40, size=20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Freezer Technology')"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "freezerpkg_df = apa_df.dropna(subset=['arch_pkg_freezer'])\n",
    "freezerpkg_df = freezerpkg_df.dropna(subset=['vcs_first_commit'])\n",
    "\n",
    "fig = plt.figure(figsize = (13, 8))\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"vcs_first_commit\", y=\"arch_pkg_freezer\", data=freezerpkg_df)\n",
    "\n",
    "plt.xlabel(\"Start Date\")\n",
    "plt.ylabel(\"Freezer Technology\")\n",
    "#plt.title(\"Start Date / Freezer Technology\", weight='bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '')"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pie = m_pieplot(\n",
    "    apa_df\n",
    "    .groupby('arch_type')\n",
    "    .count()\n",
    "    .sort_values('arch_type', ascending=False))\n",
    "\n",
    "#plt.title(\"Desktop vs Server Breakdown\", weight='bold', pad=40, size=20)\n",
    "plt.ylabel(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Arch Type')"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "arch_df = apa_df.dropna(subset=['arch_type'])\n",
    "arch_df = arch_df.dropna(subset=['vcs_first_commit'])\n",
    "\n",
    "fig = plt.figure(figsize = (13, 8))\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.set_style(\"white\")\n",
    "ax = m_swarmplot(x=\"vcs_first_commit\", y=\"arch_type\", data=arch_df)\n",
    "\n",
    "plt.xlabel(\"Start Date\")\n",
    "plt.ylabel(\"Arch Type\")\n",
    "#plt.title(\"Start Date / Arch Type\", weight='bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "py3_df = apa_df.dropna(subset=['arch_compat_min_py3'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mayoubi/.local/lib/python3.6/site-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "def py_3(x):\n",
    "    if x <= 3.4:\n",
    "        return \"<3.5+\"\n",
    "    return '%s+' % x\n",
    "\n",
    "py3_df['py3_type'] = py3_df['arch_compat_min_py3'].apply(py_3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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uRhKfyotIEqsKhrBMk93llXy4bCOzV25i7vp8qoJhp6NJI1imwbCex3Ph4Joyc3L34whGomSm6RaTJCaVF5EkUxEI4rUsVu7Yw6vzVzDj2/XsLK1wOpa0oA5pqVx6ah9+MOJkLhjQk1A0SkZqKqapfWckMai8iCSB/dVBvB6LBRsLeG3BSj5YtpGSqmqnY0kbSPVYjB7Ui++dOZjxQ/sBkO5NwWPpKSZxL5UXkQS1vzqIxzT5ZNVm3li4io9XbsYf0u2gZGYaBiP6dGfS6QP53lknkeqxaJeagqnHscVlVF5EEog/GMI0TRZt3sGz/1jCB8s26skgqZdhwMh+PfnJqGFcPrQfkWhMMzLiGiovIi4XjtQcOrirrJLnPl/CGwtXsbfC73QscZE0r4cJQ/vz/y4czvC8XGIxW0cYSFxTeRFxqf3VQWK2zWvzV/DinKWs2rHX6UiSALp2aM/3Rwzmp6NOo2uHdvg8HizNx0icUXkRcZFQJEo0FmPxlkL+MHsBn67aoj1YpNUM7dmVO8eexcRhA7DtGOmpXqcjiQAqLyKuUBkIAfDyvOU8/clituwtdTiRJJOO7dK49bwh/MeYM0n3ppCh2RhxmMqLSJyKxWyqQiGKK/w88sEC/m/hKj0tJI4yDYMxJ/fmV+POZniv47FME6/HcjqWJCGVF5E4EwxHiNk2X67bziMfLGDehnynI4nU0fu4bO64+AxuPvdUTMPQgK+0KZUXkTgRCIexbXh1/gqmvD+fHSX7nY4kckwZPi8/u/A07h53NpZp0t6nuRhpfSovIg7zh8LYts3z//yGP3y4UI85iyv5Ujzcet4Q7pswEp/XQ4ZPczHSelReRBxSFQwRi9k88fFXPPXJYsqrg05HEmk2j2XyvTMH88BVF5DVzqcSI61C5UWkjVUGQoSjUR5+fz7P//MbneAsCckwYMLQ/jx49Si6d8zU7SRpUSovIm3EHwwTikb5r3e+4MUvl2rbfkkal53alyevH0NORrpKjLQIlReRVhYIR4jGYvzxo694fPZCrbRIUjINgxvOPpmHr7uQtJQUlRhpFpUXkVYSjkYJR2O8Nn8Fv3v3Sw3iigCpHoufXXQa9004D49lku7VI9bSeCovIi0sFosRCEf5ZNVmfjX9M7buLXM6kkjcyfB5+fVl53DHxWdgmQapKR6nI4mLqLyItKCqYIgVBUX8/NWPWJZf5HQckbh3XGY7Hrx6FNedNRifx4NpGk5HEhdQeRFpAVXBEJWBED/96wd8sHyj03FEXOfUE7rwwr9dTp8uHTUPI8ek8iLSDJFolFAkxp8+WcTvZ80jEI44HUnE1W44+2Se+MEYUlMs0jQPI0eg8iLSRFWBEEu27eInL72vU55FWlCGz8uDV4/ilvOG4PNYmKbpdCSJMyovIo1UFQxRFQjz05ff5/1lukUk0loG5ebwv/92OYNyO+tWkhxG5UWkgaKxGMFIlKc+WcxDM+fqFpFIG7nmjEE8e9M40rwePZUkgMqLSINUBUNs2VPG95/9O+t373M6jkjS6dgujT/fMo4xJ/emXapWYZKdyovIURxcbXlwxhwen/0VMf12EXHUZaf25aUfTSDdm4LPq1WYZKXyInIElYEQW/dqtUUk3mSl+5h606VcNqSvVmGSlMqLyHdotUXEHcac3JuXfzyRdqkpeqw6yai8iBxCqy0i7pKZlspTN4zlyuEDSE9VgUkWKi8iB/hDYabMmsejHyzQaouIy4wf0pdpP7mCNK+HFMtyOo60MpUXSXqBUISy6gBXP/UWi7cUOh1HRJqoW3YGb99xDQNzczQLk+BUXiSpVQZCfLluOzf/5T3Kq4NOxxGRZjINg/uvOI9fjj2LdM3BJCyVF0lKsZhNIBzhV9M/5fl/fut0HBFpYef0PYG377iGDJ9XG9slIJUXSTrVoTB7K/xMfPJNVu3Y63QcEWkl2e18vPbTKzm77wk6XiDBqLxIUqkKhpi1dAM//esH+ENhp+OISBv42YWnMeWaC/U0UgJReZGkYNs21aEIt786m1fnr3A6joi0sTNP7MbMX36PDJ+XFI+eRnI7lRdJeKFIlDJ/gPF//D+Wbt/tdBwRcUjXDu354M7v06dLR63CuJzKiyS0qmCINTv3MuHJ6RRX+J2OIyIO83os/vLD8VwxvL8ep3YxlRdJWFXBEK8vWMnPX/uIaEy/zEXkX/599HAeue4iPU7tUiovkpD8wTB3/d8nvPDlUqejiEicOqfvCbz3i+to70vBo115XUXlRRJKNBqjMhjiij+9xbwN+U7HEZE4171jJh/e9X3ycrJ0uKOLqLxIwgiGI+wur+SiR15jW3GZ03FExCXSvSm8+4trObN3N83BuITKiyQEfyjM+l3FjHnsdUqrAk7HERGXsUyD5384nkmnD1SBcQGVF3G9qmCIeRsKmPT03wiEI07HEREX++3Ekdx16QgVmDin8iKuVhUMMX3RGv7fyx8Q0y9lEWkBN51zCk/fdKmeRIpjKi/iWv5gmD/MXsD/zJjrdBQRSTAXDT6Rt++YRLo3BcMwnI4j36HyIq7kD4X55esf89KcZU5HEZEENaRHFz7+1Q1k+lLxWKbTceQQKi/iOlXBEN9/9h1mr9jkdBQRSXA9O3Vg7n23kJORTor2gokbKi/iKpWBEOMef4OFm3Y4HUVEkkRuVgbzf/tDumS206GOcULlRVyjIhBi7GOvsXhLodNRRCTJdMlsx7zf/pDcrAy8KjCOU3kRV6ioDnLJY6+xZOsup6OISJLKyUhn7r23cELHTFJTPE7HSWoqLxLXbNumIhDiokdeZen23U7HEZEk17FdGl/eezO9crJUYByk8iJxy7Zt9geCXDjlVZYXFDkdR0QEgA5pqXzxm5vp0yUbX4r2gnGCyovEpVispriMmjKNVTv2Oh1HROQwGT4v/7jnJgYc30kHOjpA5UXijm3blPuDnP/7l1lTWOx0HBGRerVLTeGL39zMgONz8OkWUpvSrjsSdyoDIUY9PE3FRUTiWlUwzEUPv8r24nJCkajTcZKKyovElapgzT4uulUkIm5QXh3kginT2FVWQTiqAtNWVF4kbviDYa555m2+2rzT6SgiIg1WXOHnvIemUVxRTTQWczpOUlB5kbjgD4b58Uuz+HTVFqejiIg0WmFZBRf8fhr7q4NolLT1qbyI46qCIe752z94a/Eap6OIiDTZlr2lXPTIq1QGw05HSXgqL+KoqmCIP370FX/+xxKno4iINNuKgj1c/sf/w68C06pUXsQxlYEQr85bwQPvzXE6iohIi5m/sYDrn3tHBaYVqbyII/yhMF+s3cbPX//I6SgiIi3u/WUb+d27X1IVDDkdJSGpvEibC0eibN1Tyvf//A6aaxORRPXEx1/x9uI1KjCtQOVF2pRt25RVBxj7hzcIhCNOxxERaVX/Pu1Dlm3frZ93LUzlRdqUPxTm0sfeYHd5pdNRRERaXSQaY8KT09ldXkk0qj1gWorKi7QZfzDMjc+/pxOiRSSp7K8OcvEjr1Gp20ctRuVF2kRlIMRDM+cya+kGp6OIiLS5bcVlXP7Em3oCqYWovEir8wfDvL9sA49+uMDpKCIijlm4aQc/ffl9FZgWoPIirSocibJuVzG3vjDT6SgiIo5786vVvDBnqZ5AaiaVF2lVlcEwE5+cTliDaiIiAPzqzU9ZV1hMKKJTqJtK5UVajT8UZtLTf9OTRSIih4jGbCY+OV2rL82g8iKtojIQ4tH35zNn/Xano4iIxJ2i/VVc9dTfNP/SRCov0uKC4Qhfby3k9+/PczqKiEjcmrchnwdnzqEyoBWYxlJ5kRZX5g9y3dS3tfW/iMgxPPbhQuZvLCAQ0g68jaHyIi3KHwxzxZ/epLQq4HQUERFX+MGf36Gkqhpbf+NrMJUXaTGVgRC/eftzlmzd5XQUERHX2F8dZPwf/49qrb40mMqLtIhAOMKc9duZ+tnXTkcREXGdlTv28Nt3/qkjBBpI5UVahD8Y5pb/neF0DBER13r608WsyC8irP1fjknlRZrNHwxzw/Pvas5FRKQZbBu+/+w7BMK6fXQsKi/SLP5gmDcXrebTVVucjiIi4nqFZRX89OX3tYHdMai8SLOU+qv55esfOx1DRCRh/G3xWj5euVkrMEeh8iJN5g+FufaZt/GHtEOkiEhL+vFL71MRCDodI26pvEiTVAVDPPXJYhZvKXQ6iohIwtlfHeR7U9/R8QFHoPIijRaLxcjfV85/v/el01FERBLWnPXbeWnuMvyaf6lD5UUaLRCOcu0zbxOJxpyOIiKS0Ca/9Q/Kq3X76LtUXqRRqoIhnvxkEet27XM6iohIwguEI9zyvzP19NF3qLxIo5RWBXho5lynY4iIJI3P12zl45WbCerpo1oqL9JgVcEQN/9lBiHt/igi0qZue2U2Qf3sraXyIg0SCEf4YNlG5qzf7nQUEZGkU1zh55dvfExlQLePQOVFGigYifLz1z5yOoaISNJ6Zd4K1hTuJaqHJVRe5NgqAyHufP1j9lVWOx1FRCSp3fyX9whGdftI5UWOKhqNsbZwL6/MX+F0FBGRpLepqJTHPlyQ9E8fqbzIUYWiUW753xlOxxARkQMe/WAB+5N87xeVFzmi6lCYv85ZxobdJU5HERGRA0KRKHe8+lFSD++qvMgRhaMx/utdHQEgIhJvZny7nnW7ionFbKejOELlRepVGQjxX+98QZk/4HQUERGpx/97+QMCkeTcuE7lRepV5g/w3D+/cTqGiIgcwbL8ImZ+uz4pd95VeZE6KgMhbn9ltg5eFBGJc3e/+RnRJLx1pPIih4nFYqzeuZcPlm90OoqIiBzD7vJK/jB7YdI9Oq3yIocJRKLcNu1Dp2OIiEgDPfbhAqpDyXXrSOVFagXDEWZ+u57lBUVORxERkQYKhCPc9X+fUBFInr1fVF6kVsy2ueetfzgdQ0REGunNr1ZTWpU8T4eqvAhQs+ry+sKV7CytcDqKiIg0Usy2+fX0z6hIko3rVF4EqPmF/z/vzXU6hoiINNHfl6yluMLvdIw2ofIiBMMRXluwksIyrbqIiLiVbXNg9SXxZ19UXqRm1WXGHKdjiIhIM7337TqKyqucjtHqVF6SXCAc4ZV5K9hVVul0FBERaaaDqy+JfmijykuSs22bB2dq1kVEJFHMXLoh4ccAVF6SWDAcYdrc5ewu16qLiEgiufvNTxN69kXlJYnFbJuHZs1zOoaIiLSwD5dvSujZF5WXJBWJxvjb4jVadRERSVAPzpibsKsvKi9JKhSN8ugHC5yOISIireStxasJR2JOx2gVKi9JyLZtvt5SyPrd+5yOIiIirSQcjfHHjxbiT8ATp1VeklBVMKwnjEREksBzn38DGE7HaHEqL0moaH8lX6zd5nQMERFpZeXVQV6dv4JQJOp0lBal8pJkKgJBHpyhVRcRkWTxh9kLicYSa/ZF5SXJRKM20xetdjqGiIi0kW3FZfxz7TZiCVRgVF6SiD8U5olPviIcTZxfwCIicmwPzZxLdTjidIwWo/KSRAzguX9843QMERFpY4u3FLKjZL/TMVqMykuSiMVifLB8IyVV1U5HERERBzz58aKEObBR5SVJVIXCPPPp107HEBERh7y5aDWWmRiPTau8JIn91UHmbyxwOoaIiDikMhDi3W/WEU2AuUeVlyTgD4WZ+plWXUREkt3Uz75OiMFdlZckYBoG0+atcDqGiIg4bPGWQvZWuP+0aZWXJDBn3Xb27Hf/L1YREWm+pz5ZTJXLzztSeUlw+6uDPPXpYqdjiIhInHhtwUosw91//Ls7vRxTOBrl01VbnI4hIiJxoswfYPaKja7ecVflJYEFwxH+94ulxGzb6SgiIhJHnvvnt1QGw07HaDKVlwQWjdm8Nl+DuiIicrgv121zOkKzqLwksKL9lazfvc/pGCIiEmeiMZu3v17r2j1fVF4SVCAUYdq85U7HEBGROPXq/BVUhdx560jlJUHFsJm+aLXTMUREJE7N35hP1KVDuyovCaqwtIJNRaVOxxARkThl2/DmV6uJuPDWkcpLAqoOhXl57jKnY4iISJx7fcFKqsPuu3Wk8pKg3lq8xukIIiIS5xZt2UnAhWcdqbwkoPx9+9m6t8zpGCIi4oURrpIAACAASURBVAKvL1hJOBJ1OkajqLwkmOpQmL/OXep0DBERcYnpi1a7bvVF5SXB2Da89816p2OIiIhLfLNtF27bh13lJcGUVwfZvEdPGYmISMPYNnyycrPTMRpF5SWBxGIx3l+2wekYIiLiMn9fspby6oDTMRpM5SWBVARCzPhWt4xERKRxPl21BZ/H43SMBlN5SSCpKR6+XLfd6RgiIuIy5dVB1u4qdjpGg6m8JJBvt+1y3cS4iIjEh78tXkMg5I4/Q1ReEoQ/FOZvX2tjOhERaZoPl28k4pKzjlReEoUNs5dvcjqFiIi41KodewlGtPIibUiPSIuISHN9uHwTth3/u76ovCQA27b5cPlGp2OIiIjLfbxyMxWBkNMxjknlJQFUBEJ8tnqL0zFERMTl5m3IJ8WK/2oQ/wnlmLweiwUbdzgdQ0REXG5naYVWXqRt7K8OUlhW4XQMERFJAHPXx/9+YSovCWDu+nynI4iISIL4ZNUWKgNBp2MclcqLy1UFQ3y6SvMuIiLSMuauz8cwDKdjHJXKi8vZNszfqJUXERFpGRuLSojG4vtxaZWXBLBu1z6nI4iISAJZuKnA6QhHpfLicl9v2el0BBERSTAfrdiMPxR2OsYRqby4WDAc4aOVm52OISIiCWbR5p2EI1GnYxyRyouLBcIRvt5a6HQMERFJMCt37CE9NcXpGEek8uJiad4UlucXOR1DREQSTCAcYVdZpdMxjkjlxcXK/QH2V8f3s/giIuJO327b5XSEI1J5cbGVO/Y4HUFERBLU/A0FBEIRp2PUS+XFpSLRGAs26TwjERFpHUvzdxOMqLxIC6oKhlgax0t6IiLibsvzi0jzxufQrsqLS3ksU8O6IiLSasr8Acr9Aadj1EvlxaVMw2D7vnKnY4iISAJbURCfs5UqLy61YbeOBBARkdY1f2M+kWjM6Rh1qLy41OIt2pxORERa19rC4rg8JkDlxYX8wTArCzTvIiIirWvznlJsO/5OmFZ5caFQNMqG3SVOxxARkQS3qaiE9Dh84kjlxYVSLJNNRSovIiLSuioCIarD8bfXi8qLC3k9FgUl+52OISIiSSA/Dp9s9TgdQBrPY4epmnoHlYEgOypCrC8qZ+WOPXy9pZD5GwuoCsbfcJWIiLjTul3FnNT9OKdjHEblxYUiRauonP2fWNk9ycvKo3fnAVx+Rj+siy/CTO9ILBygOhhgT2WI9cV+1uzcy7dbdzF3Y35cnxIqIiLxZ0VBEVcMG4DHip+bNSovLhTZu45occ1/6jAszMxuWNm9OC47j66d+jB64ACsEadhZYzHjkUJBasp8YfYXBJg7a4Slm3fxfxNO1izc2/bvxkREYlrm4pK8YfCZKalOh2llsqLy9iRINF9G4/yCVFi5fnEyvMJb/uyzmWj3XFY2XlkZOUxvOOJnNFtID88uR9W5gUYVgrhoJ/9gRDby4KsLypjRcEeFm3awaItOwnH4UZFIiLSujYVlcTd49IqLy5jR4PEyvOb/vVVe4hU7SGyY3Gda0ZqBmZWHt6sPAZk92Jw5wFMOq8PnvFDMXyZREN+qgJBdlWEWL+3glU79rJkayHzNhRQFqfnX4iISPNs2VMadwc0qry4ULS8oFVe1w5WEC1aSbRoZd2LVipWVg/MrDy6Z/ekZ6d+XDq0P9ao8zHb5RCLBAkEAhRXhdi4z8+awmK+3babeRvydQaTiIiLlVcHnY5Qh8qLyxhmCrGK3W3/jaM1t6ui+zZS51kmw8TMyMXK7knHrDzO7tiHkX0GYp1+KlbGGGwgHKym1B9iS2mA9btLWZa/mwWbClieX0ScrUaKiMh3lPkDHJfZzukYtQw73m5kyVHZsSj7HusBdtTpKA1mpHXCyu6Jld0LM7sXns4DMTv2xsrIxUhJIxLyU1EdZMf+EOsOPPa9aPNOFm7eQSAUf5sjiYgkm+UP/pRB3To7HaOWVl5cxg5Xu6q4ANjV+4hU7yNS+G2da4a3HWZWTzxZefTOyqNv5wFcMaIv1tiTMdOyiIWq8QeD7K4MsX5vJWt27uWbrbuYsz6f4kq/A+9GRCT5FJZVqLxI09nBxJofsUNVRPesIbpnTd2LZgpmh+5YWXkcn51H9079uPik/ljnjsBqPxE7GiYYDLDPH2TjvgDrdu1j6fZdzN9YoLOfRERaUMG++NrVXeXFZWL+fU5HaDuxMLHSrcRKtxLe+t2LBmb7LpjZveiQnceZ2Sdyds+BWEMGYWVeBIZJKFjN/uogWw889r0sfzeLNu3g622FxPTUt4hIg23fV0Y0FsMy42OjOpUXl7Eri5yOECdsYpW7iVXuJlKwsM5Vw5eFlZVHanZPBmf34pTOA/lenz5YV56BkdKeaMhPZSDIzooQ6/fsZ9WB4xXmbSygMhBy4P2IiMSvXWWVBMIR2qV6nY4CqLy4TrRil9MRXMEOlBHZvQx2L6t70ZOGldUDK6snPbN7cWJOf8af1g/rotGY6Z1qj1fYWxlifXE1awv38M22Xcxdn0+hjlcQkSS0u7wyrjYqVXlxETsWJbZ/p9Mx3C9STbR4PdHi9XWv1R6vkEfnrDy6dOrDqP4DsM46Hav9Zdh2jFCwmtLqQ49X2M2CjQWs0vEKIpKgisqrMJwOcQiVFxexIwFiVfoDslUderwCc+pcNtp1xsrKo312HsOyT+S03IHcclIfrMzzMKxUwsEqKqpD5O8Psm53OSsKili0eSeLtuwgFImfv7WIiDRGcYU/buZdQOXFXWJRbH+x0ymSml21l0jVXiI7v65zreZ4hZ6kZPWiX3ZPBnYeyNUj+2CNH4rpyyQaqsYfCLCrMsyGPRWs2lkzZzNXxyuISJyrCITwqLxI09jEghVOh5AjqDleYRXRolV1L1perA49MLPz6JbVkx45/Rlzaj+sC87DTO+MHQ0RCFZTXBViQ7GftQce+563oYCte8va/s2IiByiMhjCY6m8SFOFq51OIE0RDREt2US0ZNMRjlc4Hisrj+ysnpzdqS8jew/AGn4KVsYYMAxCQT9l1SG2lgZYt7uUZduLWLhpB8sKdumxbxFpdaFIFCOOhl5UXtzEMLAjKi8Jx44R27+zZhg7f36dy0ZaR6zsPNKz8jg5uxdDOg/k+v69sSaNqD1eobI6xI6KYM3xCgV7WLxlJws37cCv4xVEpIUEw1HSU+Nj9UXlxU0Ms+Z4AEkqdnUJkeqSeo9XICUdK6snVnYeJ2bl0SdnABNH9PvX8QrhAP5AgKLKEOv3VrGmcC/fbC1k7oZ89uzX8Qoi0nCBcIT01BSnYwAqL65iGJZWXuRwYT/RvWuJ7l1b95rpwczsjpWdR9fsXnTr1JeLBvfHOuesmuMVYhGCwWr2+UNs3lfNul37+HbbbuZvKmD9riTayVlEGqQ6HAbSnI4BqLy4i2lBRE+lSAPFIsTKthEr20Z46xffuXjweIU8OmTlcXr2iZx1wgD+7dQBmBmjMUwP4ZCf/dVBtpUFWbe7jOUFRXy1eSdLthQS0aCNSNLxB+tM7DlG5cVNDEu3jaSFHHq8wld1rhqpHbCy8/Bm5TEwO4+TOg/kuj59sCaejpHanmiw5niFwooQ6/fuZ9WOvXy9ZSfzNxSwX8criCSkSpUXaRLDgJgGMKX12cFyIruXw+7ldS96fFgdemBl59EjO49enfpz2fB+WKNHY7brRCwcJBAMsLcqxIbiKtYUFtcer7CzVI/6i7hVRXXQ6Qi1VF7cJKq/0UociASI7ttAdN+GutcOHq+Q1ZOc7DyO69iH8/sNwDpzOFb7cdi2XXO8gj/I5tIg63aXsHz7bhZsKmBFwZ62fy8i0mCBcPz85VnlxUXsaPws2YnU69DjFbbPrXPZSM/Bys6jfVYewzr25rTjB3DzoN5YmSMxPKlEgn72B4IUlIdYV1TGyoI9fLV5B19t1vEKIk6L2bbTEWqpvLiJbhmJy9n+YiL+YiI7l9S5ZnjbY2bnkZKVR9+sPAZ0HsBV5/bFumzIv45XCAbZXRFk/d4qVu3cw5IthczbkE9JlQbZRVqbyos0jREfmwOJtAY7VHmM4xVOwMzKIzc7jxM69WXMKQOwzjsXs11n7Gi49niFjbWPfe9i/sYCNu8pbfs3I5KAorH4KS+GbcdRlZKjigUrKHmir9MxROKMUXO8QnYeZlYeVsfeWJ0HYGWfiJXRFQyTcChA0DYp8VdTFYifoUMRN+nesQOZ7TKdjgFo5cVVjHg6WEIkbtjEKgqJVRRC/gIAzE79SRt2M+HeYzAzcwmnegna0MPIx6j6i8N5RVzK+BFwstMpAJUXd9FtI5H6peeQNuRGrP6XY3fqh2VabA7B0oDB2r2wJwpXZ8DF0Z1Q9JTTaUXcqcNFkK7yIo2l8iJSw/SSetLVpAy6mljucLwpPgrDsCwAq0sN8sPw3WeTQjZgxsfW5iLuFD9/Bqm8uInKiySxlF6j8J3yPaI9zyMlLYvyKCwJwMoKg42hA+XkKII2YKm8iDSZYTmdoJbKi5uovEgSOTi3Qu9LauZWbIMVQVgeNFi3Hyoaue1LwAZMX6tkFUkO8fNnkMqLq2hgVxJYWifSht6E1f8y7E79sUwPm0Ow7MDcSlG0eS8ftAEjtUWiiiSlOCr/Ki+NsHDhQl577TWWLVtGeXk5WVlZ9O/fn5tuuonzzz8fgFAoxNSpU5k1axbl5eUMGjSIe+65h8GDB9d5vQULFvDDH/6Q5557jlGjRh07gFZeJJGYXlIHX03K4KuIHX8aXu+/5lbWlBpsr2dupTkCMcBUeRFpMivD6QS1VF4a6NFHH+XFF1+ka9eujB49muzsbEpKSli9ejWLFi2qLS+PP/44L7/8MmPGjKFLly7MnDmTm266idmzZ3PcccfVvl5VVRX33Xcfl19+ecOKCwcflTYAbc0j7uTJO5+0U75PtOf5pKQfMrdSabApdGB1pJUEtPIi0jxWe6cT1GpweXnsscdYtWoV27Zto7S0FJ/PR25uLhdddBHXX3892dnZx3yNd955h8mTJx/1c0zTZO3atQ2N1SbeeustXnzxRa688koeeOABvF7vYdfD4Zozh2zbZvr06Vx11VVMmTIFgIsvvpgbb7yRGTNm8OMf/7j2ax5//HGCwSD33ntvg3PY0TCGNx07VNUC70qk9Zmd+uEbehNGnzGYmd2I2AYrg7AsaLC+Ava34XFFwRhgprTdNxRJNGa60wlqNbi8TJs2jUGDBnH22WfTqVMnqqurWbZsGU8//TTTp0/nrbfe4vjjjz/qawwcOJDbb7+93mtLlizhq6++4rzzzmvcO2hloVCIJ554gtzc3HqLC0BKSs0PxJKSEqqrqznllFNqrx3874WFhbUfW7JkCW+88QZPPvlkg0pfrVgYw5uh8iLxK63Tgf1WxmPn1MytbDlkv5Xmzq00R7UNGHV//4pIA7mxvHzzzTekptZdcn3iiSd47rnneP755/nd73531NcYOHAgAwcOrPfaddddB8C1117boDz33HMP7777LuvXr2/Q5zfV/PnzKSkp4eabb8Y0Tb744gs2bNhAamoqp5xyCkOHDq393OzsbHw+H6tXr6792KpVNee05ObmAhAIBLj33nu55JJLGDt2bKOy2LEohjd+lu1EMFNq5lYGXUUs93S8Xh+7Dplb2dbCcyvNUVNetPIi0mRuHNitr7gAXHrppTz33HNs3769ySHWr1/PsmXL6NKlCxdccEGTX6c1rFy5Eqh5/1deeSUbNmw47Prpp5/OU089RceOHTFNk2uvvZZXX32ViooKunTpwowZM2jfvj0TJkwA4E9/+hNlZWXcf//9jQ9jxzBS42dgSpKTJ+98fKd8n9h35lZWVdbst9KacyvN4Y8Bhsb8RJosjmbGmv07+fPPPwegf//+TX6Nt956C4BJkyZhWfGzCQ7Avn37AHjxxRfp3bs3r7/+OgMHDmTHjh08+uijzJs3j1/84he8+uqrANx99934fD4++OAD5s6dy6BBg/jVr35Fly5dWLFiBdOmTWPKlCl07Nix9pZbSUkJAwYM4N5772X48OFHzaPyIm2tdm6l9xjMDjVzK6sO7rfSxnMrzREBagbeLcDB+1cibmSmgR2Nm6deG11eXnzxRfx+PxUVFaxatYpvvvmG/v3785Of/KRJAQKBADNnzsSyLK655pomvUZrOnjotmVZ/PnPf6Z79+5ATVl75plnGDt2LIsXL2bp0qUMHToUr9fLXXfdxV133XXY64RCISZPnszIkSOZOHEiL7/8Ms888wy33347w4YN47nnnuNHP/oRn376KTk5OfWHMQyM1Pg40VMSmC+btKE3YvWfUHdupRiKIk4HbAY7UvO4dMzvdBIRdzEzwA4D8XHrtdHl5aWXXqK4uLj230eOHMnDDz9Mx44dmxRg9uzZ7N+/nwsuuOCYA79OyMioWekYNGhQbXE5KC0tjXPPPZe3336bFStWHDb/8l1Tp06lqKiIl156CagpgSNGjOCOO+4AoFevXowePZrXX3+dX/ziF/W/iOHB8GW1wLsSOYTp+c7cSlrczq00X7Tmvr3Ki0jjWO2JpxXLRpeX+fPnA1BcXMzSpUv5wx/+wBVXXMHzzz9f70ZsxzJ9+nTgXwO737Vjxw4uvPDCI359fberpkyZwlVXXdXoLPXp1asX8K8S812ZmTUrIcFg8IivsXbtWl544QV+97vf0aVLFyorK9mzZw+XX3557efk5uaSnZ3Npk2bjvg6hseLmabyIs3n6TkS36k/ODC3ks3+KHxzYL+VeJ5baTY7Bkb8DB2KuIanY81tozjR5JmXnJwcLr74YgYNGsSYMWP49a9/zfvvv9+o19i4cSNLly6la9eutZu8fVdmZma9j1d/9tlnrFu3rt5rR3qiqSlGjBiBYRhs3ryZWCyGaR5+v2/jxo0AdVZlDopEIkyePJkzzjijzm2xUCh02L8frQABGKYHI71zY9+CCGbHvviGHZxb6U4Eg9VBWB4wWOuiuZXmsolhxNETEyKukRJfd0aaPbDbrVs3+vTpw9q1aykpKWnU7aODqy5HG9TNzMysvbVyqJ07d7Ju3bp6r7Wkbt26MWrUKD7//HNeeeUVbrnlltpr8+bNY968eWRmZjJy5Mh6v/4vf/kL27dv55lnnqn9WPv27enSpQtz584lEong8XhYvHgxVVVV9OnT56h5zHYqL9IAtXMrl2PnDKidW1kWrJlb2e3muZVmsO1YXD3uKeIa3uPjaquBFnlucM+ePQCNelIoGAzWDupOmjSpJWK0mv/6r/9i7dq1TJkyhS+++IKBAweyc+dOPvvsMyzL4sEHH6z3ttKmTZt49tlnueeee+qszPzoRz/ioYce4vrrr+eUU05h1qxZpKenc/311x81i5mZ26LvTRKE6SF10FV4B19NJPd0Ur1p7A7D0oScW2k6G1u3jUSaIiW35omjONGg8rJ161ZycnLq/AEdi8X405/+xL59+xg6dCgdOnQAarbLz8/PJyUlhR49etT7mrNnz6a8vJxRo0bF5aDuobp27co777zD1KlT+fzzz1myZAnt2rVj1KhR/PSnPz1sR92DotEov/nNbzj11FPrLSQ33ngjlZWVvPnmm6xevZoBAwYwefLkIz9pdICVofIiNTw9zsU35Prkm1tpBttGKy8iTZHaK24ek4YGlpcvv/ySP/7xjwwfPpzu3buTlZVFcXExX3/9NQUFBXTu3JkHH3yw9vOLiooYN24c3bp1q90H5rsO7u3S0B11ndaxY0d++9vf8tvf/rZBn29ZVu17rI9hGPzsZz/jZz/7WaNymOlHLzeSuMyOffANvbnmnKAknltpjhiovIg0RWpPpxMcpkHl5eyzzyY/P59vvvmGNWvWUFFRQVpaGnl5eUycOJEbb7yRrKyGPwWzefNmvvnmm6MO6soReLzgSYNItdNJpLX5skkbcgPWgMuxcwZiWR62hg48wlxsJO3cSnOovIg0UZwN7Br2wV3YxBViwUrKp40hWrLZ6SjS0kwPqQOvwjv4KqLdzsB7YG5leQBWhwy2hjS30lyP55TTftutUPqO01FE3GX4vprHpeOEDvpwGzuKmXG8ykuC8PQ4t2a/lbzzSUnryP4YfBusmVvZoLmVFhfF0MqLSKMZYMXX7u4qL25jWpiZ3ZxOIU1kZp+Ib9gPMfpcgpF5AjHjX3Mr6yqgXEsrrSpimyovIo3lyak5WiOODjaNnyTSIIYnDTND5cU1fB1IG3Ij1oAJ2DkD8RyYW1kagLX7DHZpbqVNRbBUXkQaK7UHxIJx9XtH5cVlDNPC6tjL6RhyJKaH1IFX4B086fC5lSCsLtPcitNCWNrnRaSxfH2pOZE9fqi8uJCVFV+PrCU7T4+z8Z16PbG8C0hJ60jFIXMrG0MQ0NxK3Ahp5UWk8XwDwGrndIrDqLy4kJlZ/zlK0jbM7BNr91sxOvQgZhisOWS/Fc2txK+QbWGb6XH2d0iROJd+KhgN30G/Lai8uJDZ/jgwPRDTwESb8HUg7dQbsAZMIJYziBTPIfutaG7FVSIAZnz9DVIk7qUNcDpBHSovLmSHA1jZvYju2+h0lMRUO7dy9YG5lfR/za2Ua27FzUI2Ki8ijeWt/5gfJ6m8uJEdw8rpp/LSgjzdz8I39EZiPS8gJb1mbmXpIfutaG4lMYRtwEp3OoaIe3g6xdWZRgepvLiQ4U3H6tQP+MDpKK5lZvXCN/RmzL5j4cDcytogLAsYrNsDZVpaSUg1Ky8qLyIN5usHsUDcDbqrvLiQYXrwHD/E6Rju4uuA75Tr8QycqLmVJFZTXtKcjiHiHr6+cTesCyovruXpHH8DVHHFsPAOvILUwVcT7X4mXm86RQfmVlaVG2wLQdTpjNLmgjFUXkQawzcgLufEVF5cyszIrbkPaev+xkGe7mfhG3I9sbxReNI7URmDZZpbkUMEQeVFpDHan6mZF2lB0RBmhxOIlW13OoljDs6tGH3H1u63orkVOZpQDLDi6969SFxLP9XpBPVSeXEpOxbFk9OPUDKVF28mviHX4xkwkVjnQaR4UmrnVtbuMyjU3IocQ8AGzFSnY4i4gycn7nbWPUjlxaWMlDSszgNh06dOR2lFJt5BE0kdPIlo97PwetPZE6kpKwf3W9HcijRGIIbKi0hDtRsal08agcqLaxlWCik9z6V64VNOR2lRnu5n4Tv1B8R6jSblwNzK4iCs0NyKtICADRgqLyIN0u60uN1aQOXFxTxdT3E6QrPVzK3cdGBupSf2gbmV5QGDtZpbkRZWbQOG1+kYIu6QcR6Y8fn7ReXFxQzLh9m+K7HK3U5HabjauZUJxDoPJsWTwrZD9lvR3Iq0pqBN3P4wFok77YY6neCIVF5czI6G8OQOI7ThQ6ejHMUhcyvdzsSb2q52bmVNucEWza1IG/LHACPF6Rgi8c/KAivb6RRHpPLiYoa3HZ7uZ8RdefF0PwPfqTfUmVtZ6TdYX6q5FXFOdQww9GNP5JjaDYWYP25XKvW72MUM08Lb8xz8DucwO/TEN+xmjL6XYnTogW2YtXMr6/ZAqeZWJE6EALAAE50NLnIU6cPiekNHlReXszr1a/uddr2Z+IZ8/8B+KyeR4klhewiWam5F3MCO1DwuHat2OolI/MoaG9fbCqi8uJwdDWPl9CO6d10rfhcT78AJeAdPItb9rNq5leUH9lvR3Iq4SxQMH6DyIlI/A9qf5XSIo1J5cTvDwHP8sBYvL57uZ+A75XpivUbjaZdDVQyWBGGF32BD6YFHTkXcyI7WbLqlxi1Sv7TBQHz/kFd5cTnT246UnucSXPFG814nswe+4bdg9hkLWT2xDZN1h+y3orkVSRS2HcOIwx1DReJG5vnUzIbFL5WXBJDS85zGf5G3fc1+K/0nEjvu8LmVg+cExXfvFmkqOy63OxeJG1njwYrPnXUPUnlJAGZqB8zMbsT27zzaZ+EdMB7vSdfWzq3s/c45QZqzlWRgYx+YeRGRerU/2+kEx6TykgBsO0JKj3MIrnrrsI97ck/DN+QGYr0uxNMuB7/mVkSI2TaWVl5E6ucbUPMEa5xTeUkAprc93j6XEM5fiG/YzZh9L4WsPDBM1gdhWcBg7V4o1YCiSM3tUJUXkfplng8YTqc4JpWXBGH3G0dG/8vY/p1zgrS4InK4GOi2kciRZF0GVjunUxyTykuCMDB5ZC8UaHBF5KiithHXm2+JOCpjpNMJGiT+b2xJg5gGDNDPY5FjimLotpFIfdKHgBHfj0gfpPKSIFIMGB6/x1CIxI0Ipm4bidQn+wow4vMgxu9SeUkgJ6RAavzPWYk4KmKbWnkRqU+n61xzS1XlJYGEbejnjtIs4pgwlsqLyHeldIHUPKdTNJjKSwJJNWCIfiaLHFXQVnkRqSNrXM2J6y6h8pJATANO1s9kkaMK48E2NCAmcpiO3wOrvdMpGkzlJcGkGdDZHcPiIo4IA5jxv4+FSJsxvJDpjkekD1J5SUDD9JdKkSMK2bhiEy6RNpN5PsRCTqdoFJWXBOM1YWR8HwYq4qiwjVZeRA6VPclVt4xA5SUhZZrQTXsni9QrZAOmGr5IDQM6Xu2azekOUnlJQB4DztbPZpF61dw20m8QEQAyzgUzxekUjabykoAsA0aku+FcUJG2F7QBU4NhIgB0vtWVt1FVXhKUCfTVhnUidQRtdDyACICRAh0nue6WEai8JKxUQ4O7IvUJxtDKiwhAh4vBjjqdoklUXhKUacCpPnDfnUyR1lVz28gd57eItKrOPwYr0+kUTaLyksBiaMddke+quW2k8iJJzkyHrDFguHM6UuUlgaWZcL775rBEWlVAKy8ikD0BYmGnUzSZykuC6+2Fdvp/WaRWIEbNdugiyey4n4LHnbeMQOUl4cVsOE23jkRqBWxUXiS5eTpB+7OcTtEsKi8JLlW3jkQOUx3DlZtyibSYzreCHXM6RbOovCSBzh7Icd9j/CKtwh8DDJ2fYCzspQAAIABJREFUIcnKgK7/4fpdplVekoABjNC2FiIABABQeZEklTkarAynUzSbyksSSDHgXN06EjlEVI9LS3I6/k4w3XWCdH1UXpKEz4ATdZtfpIYdBVOT7JJkUrrWrLy4dG+XQ6m8JAmvAePcv1Io0jJUXiQZdf4xYDudokWovCQJ04D+qRrcFakR0+GMkmRM6HpHwpzrpfKSREzgUvff6hRpNtuOaeVFkkuHMQm1s7TKSxLxGHBGunbcFbGxVV4kuRx/t2sPYayP/hhLNjaMdvfj/SLNZtsqL5JEfP0hw9076n6XykuS8ZpwYXvQg0eSzGKgmRdJHrn3kWh7G6m8JCEDGKHVF0liMdDKiySHlK7Q6eqEOxJD5SUJ+Uy4LKOmxIgko5htqLxIcjj+LhLxp73KS5LyGTBEP7slSUUwdNtIEp+VAcf9e0IWdZWXJOUz4XJtWidJKoqZkD/QRQ5z3L+TiKsuoPKS1DpZ0NvrdAqRthe2VV4kwRkpkHsPWIl5sJ3KSxLzGnC5Nq2TJBTBUnmRxNbpBzUFJkGpvCQx04DeqdAlsZ6gEzmmEJZmXiSBGdD9v2tmXhKUykuSs4BxWn2RJBPSyoskso7XgqeT0ylalcpLkrMMGJYGmfqVIEkkbBvYZmLOAkiys6Dn42Al9t9K9UeWYABjE/vXuchhwjYJO8goSa7zLQl1htGRqLwIKQaMTK95+kgkGYRswNQ205JgDC+cMCWhZ10OUnkRoOb20XUdnE4h0jbCKi+SiI77dzDTnE7RJlReBKgpLwO8cGLiPlknUiuo8iKJxkw/8IRRcswA/P/27j0+qure+/hn70kyuZMrhCRIIDEhV4vcBKUgl1I9Pdx80aLU4qNWORSlh/oo4AUKIqAiFYooj+QVEBTBQvHYWhUQi1RPgAIaroUKGGrBAAqaG8nM88dOIjGBXEgyt+/79aJNZu/ZsyZOMt9Z67fWUniRGgEG/DzC1a0QaX0aNhKvE/drr17X5fsUXqSGYVh1Lz01g1S8nNXzohe6eAlbO4if5lNF6AovUkugCWPbge/kd/FFVnjxjdoA8QHx08DwrRkXCi9SR4ABQ3xj2FR8VJkDMOyubobI1QvoDB0e8LkwrvAiddhNuCUUwvTqEC9VqmEj8RZdlvpUrUs1vT1JvWwG3Ob96xyJjyp1op4X8XzhN0PYD8FUeBEBwM+AHkEQr00bxQuVOgAzwNXNELkKNuiy3KeKdC+l8CKX5QeM08J14oVKnFirkYp4qrhJ4B/r6la4jMKLXJZpQCd/yFTvuniZUgc+WScgXsIvGhJn+8yCdPVReJErsptW74teKOJNShRexJNd86zP9xzqPUkaFGLCD7UYqXiRUvC5dTHESwT/AKJ+CqZvd4krvEiDAk0YGQ7BhqtbItIyHNX/6+OfXsXTmJCcp2n+KLxII/kZcKf2PRJv4qzUm4B4lrgHwZ4Mht669ROQRvE3rMLd7vpbL97C6QBDL2jxEAGdIfFJny7SvZTCizSa3YTxEVp5V7yFel7Eg6S8qoUVL6G3IWkSfwPu0vCReAGn06HwIp4h5m4IzgFTq4ZWU3iRJvEz4NoA6ONbe4CJF3LiVHgR9+cfB0m/03DR9yi8SJPZTbijHUTo1SMezIlTNS/i/rrmabioHnr7kWbxM+CeSFe3QqT5HE58fq0McXNRt0HYjdqHqx4KL9IsfgZ09oebtHideCgHaNhI3JdfNHR5WcNFl6HwIs1mN+Gn4RCthUrFAzmcaNhI3FfKa2CquPByFF7kqvgZ8MtI0OK74mkqMdTzIu6pwyQI7athzStQeJGrYjMg3g9uDnF1S0SaphJT4UXcT1AmdJqn4aIGKLzIVbObMCoM2mv4SDxIBaaGjcS9GIGQ+qaGixpB4UVahJ8B90dp+Eg8x0WnTT0v4l46P2+t66K9ixqkn5C0CNOAWBv8WD2d4iHKUXgRNxLxE4gZBzZN4WwMhRdpMXYTbg2FZC1JIB6gHD+FF3EP/h0heRXYVDzYWAov0qICTJgUBZF6ZYmbu+g0cJp6sxBXM+HaN1Tn0kR6i5EWZzdgcjT4u7ohIldQ7gQUXsTVOj0FwddpFd0mUniRFmczrIXr/o+2DxA3dlHhRVwtcqS1pouGi5pM4UVaRYAJWXYYqt9JcVPlTlQcKa4T2A2SX1FwaSaFF2k1dhOGh0E39YaKG7KGjRRexAVs4dDtPb3+roLCi7SqABMmREGMFrATN2OFFxVJSlsz4No/gH+M1nO5CvrJSauzG/DraOv/RdyFwou4ROKsqn2LNE3/aii8SKszDWhnwr0q4BU3UuYEDIUXaUMR/wlxU1Tn0gIUXqRNBJiQFgA/CXN1S0QsZU60a6+0ncA0SHlVReItROFF2ozdhGEhkK33C3EDpU7UdS9tw78DpG9VgW4LUniRNhVQNXzUwc/VLRFfV+oADCVpaWVmCKS/D35RKtBtQfpJSpsLqCrgDVQBr7iQ1fOiefzSmmyQ+j9gT9JrrYUpvEibMw0IM+FXUXoBiutYPS/axEJaUddcCO2tWW2tQO8d4hL+BnT2hwmRoA4YcYUSB2Do07C0koQZEDVaM4taicKLuIzdhG52uCdCAUbaXgmo50VaR8wvoOP/BVuoq1vitRRexKXsJuQEws/bubol4musYSNVjksLCx8ESUvV49LKFF7E5ewm9AqCn4a7uiXiSyoAcCrASMsJvh5SN2otlzag8CJuwW7CTcEwQovYSVtyVoKhtV6kBQRlQvoWDRW1EYUXcRt2EwaHWAvZibQJZ6UWqpOrZ0+BjL9au0VLm1B4EbdiN+E/wmCgel2lTSi8yFUK6ASZ28EWAYamHrQVhRdxO3YTRodDXy2NIK3M6XRo2EiaLyABMj8Gm1bPbWv6aYtbsptwRzvoqfcVaUVOnOp5kebxj4fM/wW/9mCq6LutKbyI2wowYXwE5Gj7GWklCi/SLP5xVo+LgovLKLyIW6veyLGbFkKVVuDUztLSVP4dreDiHwemFjl0FYUXcXt2EyZGQbICjLQwB6jmRRrP3gWydllDRgouLqXwIh7BbsLkKEjXEJK0IId6XqSxgjIhayf4t1dwcQMarBOPUd0D8+pX8FGJq1sj3qASQ+FFGhbSC7q9x7nzFWzavJ6tW7dy+PBhTp06hb+/P6mpqYwePZrbbrsN0/yuT6CwsJDBgwdf9rK33norCxcurHXbl19+ybx58/jb3/6GYRj069ePadOmER0dXef+CxcuZPXq1fzpT3+iQ4cOLfd8PYDCi3iUAANubwfRfvDWBVe3RjxdBabCi1xZ+M2Q+ibYQvnLO68xc+ZMYmNj6dOnD/Hx8RQVFfHee+/x2GOPsW3bNp5//nmM76330q1bN4YMGVLn0tdee22t7x0OBxMmTODIkSOMGjWK0tJS3nzzTU6cOMGaNWtqBaMDBw7w8ssvM3PmTJ8LLqDwIh7IbsKPQiDGBiu/qqpbEGmGCkzVvMjlRQ6H5FdrNllMSkpi6dKlDBw4sFaQmDJlCmPGjOGdd97h3XffZdiwYbUuk56ezgMPPNDgw3366acUFBQwf/58Ro4cCUBiYiKLFy+moKCAnJwcACoqKpg2bRq9e/dmzJgxLfVsPYpqXsQj2U24PhAmR1u9MSLNUeG0qedF6hd9JyS/Vmt36L59+zJo0KBawQUgNjaWsWPHApCfn9/shzx58iQA2dnZNbdVf119DGDZsmUcP36c2bNnN/uxPJ16XsRj2U3o6g/TY2DBGbigLhhponIUXqQecVMgcXaTdof287PeTm02W51jp0+fZs2aNXz11VdERETwgx/8gG7dutU5Lz4+HoB9+/aRnJwMQEFBAQAJCQkAHDlyhBdeeIGpU6eSmJjYtOflRRRexKMFmNDegMdj4dkiOF3p6haJJ7mITcNGcgkbdFkG0T9tUnCpqKhg48aNAPTv37/O8e3bt7N9+/Zat/Xu3Zv58+fXBBawelkyMzOZMWMGu3fvrql5yc7OJisri8rKSqZPn851113HuHHjmvkcvYOGjcTj2QwIM2F6rNUTI9JY5U4Tp6ldQAVrR+iM9yH6Z2ALbdJdFyxYwOHDhxkwYECt8BIUFMTEiRNZv349O3bsYMeOHaxatYo+ffqQn5/PXXfdRXFx8XdNsNlYunQpAwYM4O2332br1q0MGzaMpUuXYpomeXl5HDp0iDlz5nD+/HkeeughunfvTnZ2NhMmTODUqVMt9uNwd4bT6XS6uhEiLaXMAcu/gr2lrm6JeIJfRUL2189jHP+1q5sirmRPgm7vQ0Bck4cRV65cyZw5c+jatSuvvfYaERERDd6noqKCO+64g7179zJ9+nTGjx/f4H2OHTvGiBEjePDBB7nnnnuYOHEi+fn5PPbYY4SGhjJr1iw6dOjA2rVr68x28kbqeRGvYjfh3gi4WR+mpRHKnYAZ0uB54sVCb4Cs3RDQqcnBZdWqVcyZM4eUlBRWrlzZqOACVn1M9SyhnTt3Nni+0+nk0UcfJTU1lbvuuotjx46xefNm7r77bkaOHMmQIUOYMmUKn3zyCR9//HGTnoOnUngRrxNgwqhwGBMO3v/5Q65GOSi8+LKosdBtE/hFgFm30PZK8vLymD17NqmpqaxcuZLY2Ngm3T8yMhKg1rDR5axevZq9e/cyd+5cbDYbR48eBSAzM7PmnKysLMAq6PUFCi/ilewm9A+G+yNBZTByORedgGpefFPCb6Hr8lpToRtr2bJlzJ07l/T0dFasWFHv6rcN2bt3LwCdOnW64nmFhYUsWLCAiRMnkpKSUutYeXl5zddlZWVNboMnU3gRr2U3IdNuzUSKadqHKvERZQ7ADHJ1M6Qt2cIh7S/QcUqTZhRVW7JkCQsWLCAzM5O8vDyioqIue+6+fftwOOqu4fDRRx+Rl5cHwPDhw6/4eI8//jidO3fmvvvuq7mtOsRs2bKl5rb333+/1jFvp6nS4tUCTIitmkqdq0Je+R6r5kXhxWcE50Dan8Evulnr+2zYsIFFixZhs9no2bMnr7zySp1zEhISGD16NADz5s3j2LFjdO/enbi4OAAOHTpUU5cyefJkrr/++ss+3rp168jPz2fdunU168gAdO7cmaFDh7J+/XqKi4sJDQ1lw4YN5OTkcMMNNzT5eXkihRfxeqYBgQbcEwEfFsMb57WlgFjKnIBN4cUnxNwNSYusYcJmzsYpLCwEoLKykhUrVtR7Tu/evWvCy/Dhw9m0aRMFBQVs27aNixcvEhMTwy233MLPf/5zevbsednHOnXqFPPnz+fee+8lIyOjzvGnnnqKkJAQNm/eTEVFBQMHDmTGjBk+MdMINFVafEyZA05VwO/PwtdKMD7vh8FwR0ABxqfZDZ8snskIhK4vQ+TIZtW3iHtSzYv4FLsJ8f4wsz2kBbi6NeJqZU7AsLu6GdJa7F0hey9EjlJw8TIKL+Jz/AwINmFSNIwM0y+BLyt1AKbCi1eKHAHZeyAwuVmFueLe9HdbfFaAAYNCrG0FojUbySeVqufF+5hB0OX/QfJqsIWBoV9ub6TwIj7NbkK8HzwRC720P5/PsXpetBKQ1wjpCTmHIPoODRN5OYUX8Xk2AwJNuDPC2lrA7hvF+gKUOAFDxU+ezwaJsyD9AwhI1DCRD9BUaZEqdhOuC4QUOyw9C8cvurpF0tqs8KKeF49mT4HU9VZxrkKLz1DPi8glAkyIMOGhGKuYV+neu5U4AEP/lT1W+/+yinKDMjRM5GP0WyvyPYYBAVjFvH2DIe8rOOBb24b4jArA2r7TBlS6tC3SBP4dIeVVq8ZFoaVBzzzzDAUFBRw7doxz584RGBhIfHw8Q4YMYdy4cTWbRDZk0KBBnDx5st5jMTExbN++vSWbfUVapE6kAWUO2F8Gr34N57Wwndd5Me4ixq5IcHzr6qZIg0yrt+WaeVatkql6pcbIysoiIyOD5ORkoqOjKSkpYc+ePRQUFNC+fXvWrl1Lx44dG7zOoEGDOH/+POPHj69zLDg4mHvuuac1ml8vhReRRqhwWv/Wn4e/FoN+abzHi3GlGLsToeKMq5siVxKUDSmrwd4FbKGubo1HKSsrw26vuyTAwoULefHFF7n99tuZOXNmg9cZNGgQUHtDyOaYOnUqGzZs4NChQ82+hmpexCXOnTvHunXr+NWvfsXQoUPJycmhR48e3H777axbt67OTqwXL15kxYoVTJs2jREjRpCVlUVaWhrr1q277GN8+eWX/OY3v6Fv377069ePhx56iDNn6n+DWrhwIT179uTUqVP1HvermpE0Ohwei4VEDbh6D2dlszbpkzZiBsM1z0HmxxCUqeDSDPUFF4BbbrkFgOPHj7dlc1qE/gSLS/zlL39h5syZxMbG0qdPH+Lj4ykqKuK9997jscceY9u2bTz//PM1m4yVlJTw1FNPAdbYakxMDF988cVlr+9wOJgwYQJHjhxh1KhRlJaW8uabb3LixAnWrFmDaX6X2w8cOMDLL7/MzJkz6dChwxXbHWhCvAGPxFibPP7xQtUS8+KxnDgwDIUXt9Tux5CcB2aYZhK1guoelLS0tEbfp7y8nI0bN/LFF18QFBREWloavXr1wmZr28UAFV7EJZKSkli6dCkDBw6sFSSmTJnCmDFjeOedd3j33XcZNmwYAIGBgSxbtoz09HTat2/P4sWL+f3vf3/Z63/66acUFBQwf/58Ro4cCUBiYiKLFy+moKCAnJwcACoqKpg2bRq9e/dmzJgxjWq7aVir894UDL2CYOVX8IkKej2W0+lQz4u78Y+DLi9B+GAV5Lag5cuXU1xczIULFygoKGDXrl2kpaVx3333NfoaX375JQ8//HCt2xITE5k7dy69e/du6SZflsKLuETfvn3rvT02NpaxY8eycOFC8vPza8JLQEAAAwYMaPT1qyvis7O/2y24+uuTJ0/WhJdly5Zx/PjxKwahywkwrVlJ90bC0XIrxJxTQa/HceLUFgHuwrBDxykQ/6i1/o4KcltUbm4uRUVFNd/379+fefPmERUV1aj7jx49mh49enDttdcSEhLC559/zqpVq1i7di2//OUvef311+nWrVtrNb8WhRdxO35+1svyaroh4+PjAdi3bx/JyckAFBQUAJCQkADAkSNHeOGFF5g6dSqJiYnNfiy7CWl2+G17+J8LsPlbUIbxHE4n6nlxB1E/g6RFYIaot6WVVE9lLioqYvfu3Tz77LOMHDmSl156iczMzAbvP2nSpFrfp6amMmvWLEJCQsjNzWXx4sUsWbKk5nhhYSGDBw++7PXqG66aO3cuo0ePbrAtCi/iVioqKti4cSNgfSporuzsbDIzM5kxYwa7d++uqXnJzs4mKyuLyspKpk+fznXXXce4ceOuut02w/r3n2HQPwRe+1prw3gKByi8uFLoDdBlmWYRtaGYmBiGDh1KRkYGw4YN45FHHuGtt95q9vXGjh1Lbm4uO3furHV7eHh4ncADsGnTJg4ePFjvsfT09EY9psKLuJUFCxZw+PBhBgwYcFXhxWazsXTpUubOncvbb7+NYRgMGzaMadOmYZomy5cv59ChQ2zcuJHz588ze/ZsNm/eTEVFBTfeeCO//e1vGyzerY/dhA4mTIiE05Ww7ms4XN7spyFtQOHFRexJ0HkRhA+yZhQZ2lSsrSUkJJCSksKBAwc4e/Zso4ePvq/6fsXFxbVuDw8P54EHHqhz/smTJzl48GC9xxpL4UXcxsqVK8nNzaVr1648/fTTV329Dh068Lvf/a7O7ceOHWPRokU8+OCDJCUlMXHiRPLz85kxYwahoaHMmjWLSZMmsXbt2prZTk0VaMI1JkyKgn9VwLrzVl2MuJ9KpwGabdR2bOGQMBM63A/4a1dvFzt9+jRwdcP0e/bsAaBTp04t0qbGUHgRt7Bq1SrmzJlDSkoKeXl5REREtMrjOJ1OHn30UVJTU7nrrrs4duwYmzdvZvLkyTWzkr755hseeeQRPv7448sWFjeW3YQkf5gcBYUVVk/MZ9rw0a1UYqjnpS3YwiFuilWQa/iBGeTqFvmEzz77jJiYGMLCwmrd7nA4eP755zlz5gzdu3enXbt2gLWm1okTJ/D39+eaa66pOf/o0aN07NiR4ODaU9YLCwuZPXs2AMOHD2/lZ/MdhRdxuby8PObOnUtqaip5eXlER0e32mOtXr2avXv38sc//hGbzcbRo0cBahWrZWVlAVZB79WGF7B6w+0GdPGH/462dqt+47x2rXYXFU5T4aU1XRpasGm9ljb2wQcf8Nxzz9GjRw8SExOJiIigqKiIHTt28PnnnxMbG8uTTz5Zc/6pU6e49dZbSUhIqLWS7p///Gdyc3Pp1asX8fHxNbONtm7dSllZGQMGDODuu+9us+el8CIutWzZMhYsWEB6ejq5ubnNHnNtjMLCQhYsWMDEiRNJSUmpday8/LsxnbKy1qm0NatCTEoAPBQNR8rhD+etHhlxnQpsCi+twRZWFVp+g0KL6/Tr148TJ06wa9cu9u/fz4ULFwgKCiIpKYkRI0Zw5513Nqqnu0+fPnz22Wfs37+fv//975SUlBAWFkaPHj0YMWIEI0aMaPYwe3MovIjLLFmyhEWLFpGZmUlubm6rDRVVe/zxx+ncuXOtBZmqQ8yWLVsYOnQoAO+//36tYy2tepG7bnZrpd5DVSHmC4UYlyjHppqXlqTQ4lZSU1N54oknGn1+YmJivXsO9e7du8UWoZs3bx7z5s27qmsovIhLbNiwgUWLFmGz2ejZsyevvPJKnXMSEhJqzfdftmwZ//znPwFrSX+AP/zhD+zatQuAHj16XHaV3HXr1pGfn8+6detq1pEB6Ny5M0OHDmX9+vUUFxcTGhrKhg0byMnJ4YYbbmix51uf6hCTaYe0WNhfam38eKqyVR9WvqdcPS8tw689xE2GuAcBU6FFWpXCi7hEYWEhAJWVlaxYsaLec3r37l0rvGzbto38/Pxa5+zevZvdu3fXfF9feDl16hTz58/n3nvvJSMjo87xp556ipCQkJqp0gMHDmTGjBlt1gVqGtZKvdmBkBFohZh3v9XspLZS7rThNIPRRN1mCsqGhEchcri13bpNhbjS+gyn06lt5UTciMMJ5U74xgHvfQMfl0CpfktbzaRIyPrqdxgn/tvVTfEgBkTcCglPQFAWGAFg6rOwtB292kTcjGlAoGGtFTMqHG5rB38vgU3fwOeqi2lx5WAtSS8NM4Mh5i5ImG7NIrKFNXgXkdag8CLixgKrNtzuFQTdA+FMJbz7DewshYvqjWkR5U5Un9GQwDRo/1/Q/m7A0DL+4nIKLyIeoHrvpHgTxraD29vBR8Ww5VsV+F6ti06sHgWpzQyB6J9C3K/BnlK1sJx2eRb3oPAi4mGqe2NuCoF+wdb2A+98A3tLQTmm6coVXmoL7QsdJkHUSHBWamhI3JLCi4iH8jMAA5ICYHyEtcHgX7+FvxZbw0vSOGUOtFS9X3uIGQ9xD4BfpPXzMJq/141Ia1N4EfEC1b0xg0Otf2cr4H9L4O+lWvyuIWXgm+HFLwaiRkPs3RB8HTgdqv0Rj6HwIuJF/KsWK+ngD7f4wbBQKHHCzhLYVWJtCqk639rKHYCf3dXNaBt+sVWB5R4IzgZnhYpvxSMpvIh4Kf+qYSU7cHMI3BhsBZe9pbCjBA6VgTplqtbQ8ebtAfzaXxJYshRYxCsovIj4AJsBQVW9Mn2C4AeB1m0HyiC/GArKfHchvFIHXjaLxoSQHtYiclGjITBVgUW8jsKLiI8xLwky1wVCaoBV/Hu83FrNd28pnHe4to1tyep58fBhI/84aPcjK6yED7bqV8xALwtlIt9RePESzzzzDAUFBRw7doxz584RGBhIfHw8Q4YMYdy4cURGRjbpeh999BGrVq1iz549fP3110RERJCWlsYvfvELBgwY0ErPQlwhqKrYN8UOnfzhZ+3gq0o4XG4NLR0thyIvnr1U4sRa3t6TmEEQ2gcifgKRoyAgHpwXNa1ZfIb2NvISWVlZZGRkkJycTHR0NCUlJezZs4eCggLat2/P2rVr6dixY6Ou9fTTT7N8+XLi4uL44Q9/SGRkJGfPnmXfvn307duXhx9+uJWfjbiLEgeYWNOwj1+E/VVh5ng5XHR141pIRz+YEX0BY2e4q5tyef4dIexGCBsI7QaDvSs4SsAWYi0eJ+Jj9Kr3Ert27cJur9v1vXDhQl588UVeeuklZs6c2eB11q5dy/Llyxk1ahSzZs0iIKD2J9KLFxv3ljV16lQ2bNjAoUOHGnW+uKfqXhmAbnZICbBWpPU3rN6YQ2VwuCrQnPPQoaZiB2D4u7oZl7BZhbVhN0L4jyCsn1Wv4ii3elaMqv8oGhISH6bw4iXqCy4At9xyCy+++CLHjx9v8Brl5eUsXLiQ+Pj4eoMLgL+/O/2Rl7bmZ1QtjgfE+UF7G/QOsop/Lzrhs3Krd+af5VBY4Rn7L5U4cF3vhV8UBGVDcI41DBTSA+xdwFkG+NVed8UX16IRuQyFFy+3ZcsWANLS0ho8d/v27Zw9e5bx48djmiZbt27l8OHD2O12cnJy6N69e2s3VzzMpcW/AQZkBUKaHSqc1vdlTjhbCf++CCcr4HQFfFkJX1ZAsZsEm3IAbHw3QNYKbBFWKAnKgJDrrSX4g7pZ2xI4SqyCYdul4cTDC4hFWpnCi5dZvnw5xcXFXLhwgYKCAnbt2kVaWhr33Xdfg/f99NNPAasXZ9SoURw+fLjW8V69erFo0SKioqJape3iHfyN7xbLCzYg2IREf+jurNpHqOqcSid85YBTFXDyohVsTlcFm6/begjKWQGm3QoSzWEGgT3JCij2Ltb05KAM6+uAjoBf1bXNqjqVS8bjTAUVkaZSePEyubm5FBUV1Xzfv39/5s2b16jAcebMGcAKQMnJyaxevZr09HQKCwt5+umn+fDDD5k8eTKvvPJKq7VfvNela82ANfzUwYQOfpBtt3ppHFUsKbsQAAADI0lEQVS3m8DXlXCu0qpJKXbCNw741mGdV+KwpjiXOq11Wkou+brU2ZxVhCurFqortYKIGWztquwXBf6x1lL6/rHWgm8BCdbsHr+q2/3aWfdxFFtTlOv0olRRjYpIi9FsIy9VVFTE7t27efbZZ/n222956aWXyMzMvOJ9nnjiCV5//XUCAgJ4++23SUxMrDlWUlLCj3/8Y/7973+zZs2amiGkwsJCBg8e3KS2zZ07l9GjRzf9SYnPczqtVYEdVUGn+o+XgRV4bIY1AFSJVW9TVtXb46w6Xn1O9demYd030PkthhkA+Fm9MFRYOyo7K6m5txlgBRPDQERcSz0vXiomJoahQ4eSkZHBsGHDeOSRR3jrrbeueJ+wMGuNiIyMjFrBBSAoKIibbrqJN954g08++aQmvISHhzNp0qQ619q0aRMHDx6s91h6enpzn5b4OMMAf7ASxxX4YfXgNL7ENeSSB/Gn6lFExE0pvHi5hIQEUlJSOHDgAGfPnr3i8FGXLl2A70LM94WHW+tglJWV1brtgQceqHPuyZMnOXjwYL3HRERErobZ8Cni6U6fPg2AzWa74nl9+/bFMAyOHj2Kw1G3YvIf//gHQJ1eGRERkbak8OIFPvvsMy5cuFDndofDwcKFCzlz5gzdu3enXbt2gLXQ3NGjRzlx4kSt8xMSErj55pv517/+xcqVK2sd+/DDD/nwww8JDw+nf//+rfdkREREGqBhIy/wwQcf8Nxzz9GjRw8SExOJiIigqKiIHTt28PnnnxMbG8uTTz5Zc/6pU6e49dZbSUhIqFkHptqMGTM4cOAAc+fOZevWraSnp3Py5Ek2bdqEzWbjySefvOywkoiISFtQePEC/fr148SJE+zatYv9+/dz4cIFgoKCSEpKYsSIEdx5551EREQ06lpxcXGsX7+eJUuWsGXLFnbu3ElISAg333wz999/Pzk5Oa38bERERK5MU6VFRETEo6jmRURERDyKwouIiIh4FIUXERER8SgKLyIiIuJRFF5ERETEoyi8iIiIiEdReBERERGPovAiIiIiHkXhRURERDyKwouIiIh4lP8Pj1/UIequ4nwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pie = m_pieplot(\n",
    "    py3_df\n",
    "    .groupby('py3_type')\n",
    "    .count()\n",
    "    .sort_values('py3_type', ascending=False))\n",
    "#plt.title(\"Python 3 Breakdown\", weight='bold', pad = 40, size=20)\n",
    "plt.ylabel(\"\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}