data_prep_2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "initial_id",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-04-07T17:42:54.481249600Z",
     "start_time": "2024-04-07T17:42:54.191576400Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "335e13d18a171adb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-04-07T22:18:00.972826100Z",
     "start_time": "2024-04-07T22:18:00.936501700Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import pylab as pl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "168aa7ad9ba54b9a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-04-07T22:18:06.233230100Z",
     "start_time": "2024-04-07T22:18:05.085371500Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>date</th>\n",
       "      <th>variable</th>\n",
       "      <th>value</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>day_of_week</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AS14.01</td>\n",
       "      <td>2014-02-26</td>\n",
       "      <td>mood</td>\n",
       "      <td>6.000</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AS14.01</td>\n",
       "      <td>2014-02-26</td>\n",
       "      <td>mood</td>\n",
       "      <td>6.000</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AS14.01</td>\n",
       "      <td>2014-02-26</td>\n",
       "      <td>mood</td>\n",
       "      <td>6.000</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AS14.01</td>\n",
       "      <td>2014-02-26</td>\n",
       "      <td>mood</td>\n",
       "      <td>7.000</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AS14.01</td>\n",
       "      <td>2014-02-27</td>\n",
       "      <td>mood</td>\n",
       "      <td>6.000</td>\n",
       "      <td>2</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376705</th>\n",
       "      <td>AS14.30</td>\n",
       "      <td>2014-04-11</td>\n",
       "      <td>appCat.weather</td>\n",
       "      <td>8.032</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376706</th>\n",
       "      <td>AS14.30</td>\n",
       "      <td>2014-04-19</td>\n",
       "      <td>appCat.weather</td>\n",
       "      <td>3.008</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376707</th>\n",
       "      <td>AS14.30</td>\n",
       "      <td>2014-04-26</td>\n",
       "      <td>appCat.weather</td>\n",
       "      <td>7.026</td>\n",
       "      <td>4</td>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376708</th>\n",
       "      <td>AS14.30</td>\n",
       "      <td>2014-04-27</td>\n",
       "      <td>appCat.weather</td>\n",
       "      <td>23.033</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376709</th>\n",
       "      <td>AS14.32</td>\n",
       "      <td>2014-04-07</td>\n",
       "      <td>appCat.weather</td>\n",
       "      <td>22.431</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>376710 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             id        date        variable   value  month  day  day_of_week\n",
       "0       AS14.01  2014-02-26            mood   6.000      2   26            2\n",
       "1       AS14.01  2014-02-26            mood   6.000      2   26            2\n",
       "2       AS14.01  2014-02-26            mood   6.000      2   26            2\n",
       "3       AS14.01  2014-02-26            mood   7.000      2   26            2\n",
       "4       AS14.01  2014-02-27            mood   6.000      2   27            3\n",
       "...         ...         ...             ...     ...    ...  ...          ...\n",
       "376705  AS14.30  2014-04-11  appCat.weather   8.032      4   11            4\n",
       "376706  AS14.30  2014-04-19  appCat.weather   3.008      4   19            5\n",
       "376707  AS14.30  2014-04-26  appCat.weather   7.026      4   26            5\n",
       "376708  AS14.30  2014-04-27  appCat.weather  23.033      4   27            6\n",
       "376709  AS14.32  2014-04-07  appCat.weather  22.431      4    7            0\n",
       "\n",
       "[376710 rows x 7 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"data/data_processed.csv\", low_memory=False)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "af963fece08113c8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-04-07T22:40:28.779574300Z",
     "start_time": "2024-04-07T22:40:28.669661800Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "merged = pd.read_csv(\"data/merged.csv\")\n",
    "merged[\"mood_avg_next\"]  = merged[\"mood_avg\"].shift(-1)\n",
    "# merged = merged[:-1]\n",
    "feature_merged = merged.loc[:, merged.columns != 'mood_avg_next'].set_index([\"date\"])\n",
    "\n",
    "merged_sans_nans = pd.read_csv(\"data/merged_sans_nans.csv\") \n",
    "feature_merged_sans_nans = merged_sans_nans.loc[:, merged_sans_nans.columns != 'mood_avg_next'].set_index([\"date\"])\n",
    "\n",
    "\n",
    "# merged[\"date\"] = pd.to_datetime(merged[\"date\"])\n",
    "# merged = merged.set_index('date')\n",
    "# merged[['utilities_avg', 'social_avg',\n",
    "#        'screen_avg', 'office_avg', 'other_avg', 'valence_avg',\n",
    "#        'unknown_avg', 'finance_avg', 'builtin_avg',\n",
    "#        'communication_avg', 'activity_avg', 'weather_avg', 'entertainment_avg',\n",
    "#        'game_avg', 'travel_avg']] = merged[['utilities_avg', 'social_avg',\n",
    "#        'screen_avg', 'office_avg', 'other_avg', 'valence_avg',\n",
    "#        'unknown_avg', 'finance_avg', 'builtin_avg',\n",
    "#        'communication_avg', 'activity_avg', 'weather_avg', 'entertainment_avg',\n",
    "#        'game_avg', 'travel_avg']].interpolate(method='time')\n",
    "# merged = merged.groupby(\"id\", as_index=False).apply(lambda group: group.ffill().bfill())\n",
    "\n",
    "# merged_sans_nans = merged.reset_index().drop('level_0', axis=1).set_index([\"id\", \"date\"])\n",
    "# merged_sans_nans.to_csv(\"data/merged_sans_nans.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "0eedcb65",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>mood_avg</th>\n",
       "      <th>utilities_avg</th>\n",
       "      <th>social_avg</th>\n",
       "      <th>arousal_avg</th>\n",
       "      <th>screen_avg</th>\n",
       "      <th>office_avg</th>\n",
       "      <th>call_avg</th>\n",
       "      <th>other_avg</th>\n",
       "      <th>valence_avg</th>\n",
       "      <th>...</th>\n",
       "      <th>communication_avg</th>\n",
       "      <th>activity_avg</th>\n",
       "      <th>weather_avg</th>\n",
       "      <th>entertainment_avg</th>\n",
       "      <th>game_avg</th>\n",
       "      <th>travel_avg</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>mood_avg_next</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>2014-02-26</th>\n",
       "      <td>AS14.01</td>\n",
       "      <td>6.250000</td>\n",
       "      <td>23.029000</td>\n",
       "      <td>75.141667</td>\n",
       "      <td>-0.250000</td>\n",
       "      <td>153.665872</td>\n",
       "      <td>57.402000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29.968875</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>...</td>\n",
       "      <td>55.095526</td>\n",
       "      <td>0.134050</td>\n",
       "      <td>30.386000</td>\n",
       "      <td>53.024000</td>\n",
       "      <td>116.518</td>\n",
       "      <td>70.418846</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>6.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-26</th>\n",
       "      <td>AS14.01</td>\n",
       "      <td>6.333333</td>\n",
       "      <td>23.029000</td>\n",
       "      <td>75.141667</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>57.402000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.968875</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>...</td>\n",
       "      <td>55.095526</td>\n",
       "      <td>0.134050</td>\n",
       "      <td>30.386000</td>\n",
       "      <td>53.024000</td>\n",
       "      <td>116.518</td>\n",
       "      <td>70.418846</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>6.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-26</th>\n",
       "      <td>AS14.01</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>23.029000</td>\n",
       "      <td>75.141667</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>153.665872</td>\n",
       "      <td>57.402000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29.968875</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>...</td>\n",
       "      <td>55.095526</td>\n",
       "      <td>0.134050</td>\n",
       "      <td>30.386000</td>\n",
       "      <td>53.024000</td>\n",
       "      <td>116.518</td>\n",
       "      <td>70.418846</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>6.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-26</th>\n",
       "      <td>AS14.01</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>39.207000</td>\n",
       "      <td>36.636000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>47.613651</td>\n",
       "      <td>57.402000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.020429</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>...</td>\n",
       "      <td>51.697063</td>\n",
       "      <td>0.236880</td>\n",
       "      <td>30.386000</td>\n",
       "      <td>46.662000</td>\n",
       "      <td>116.518</td>\n",
       "      <td>37.305000</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>6.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-02-27</th>\n",
       "      <td>AS14.01</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>30.086000</td>\n",
       "      <td>50.046611</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>67.067644</td>\n",
       "      <td>3.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.137167</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>...</td>\n",
       "      <td>53.442031</td>\n",
       "      <td>0.142741</td>\n",
       "      <td>30.386000</td>\n",
       "      <td>31.448667</td>\n",
       "      <td>116.518</td>\n",
       "      <td>83.961000</td>\n",
       "      <td>2</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-03-10</th>\n",
       "      <td>AS14.33</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>18.724333</td>\n",
       "      <td>50.259100</td>\n",
       "      <td>-0.600000</td>\n",
       "      <td>113.607750</td>\n",
       "      <td>44.738625</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17.835750</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>...</td>\n",
       "      <td>59.382943</td>\n",
       "      <td>0.012704</td>\n",
       "      <td>13.084375</td>\n",
       "      <td>62.347000</td>\n",
       "      <td>162.983</td>\n",
       "      <td>0.939000</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>8.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-03-10</th>\n",
       "      <td>AS14.33</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>5.111000</td>\n",
       "      <td>99.281685</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>113.657683</td>\n",
       "      <td>44.738625</td>\n",
       "      <td>1.0</td>\n",
       "      <td>27.891895</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>...</td>\n",
       "      <td>37.238750</td>\n",
       "      <td>0.103301</td>\n",
       "      <td>13.084375</td>\n",
       "      <td>43.907571</td>\n",
       "      <td>162.983</td>\n",
       "      <td>0.939000</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-03-10</th>\n",
       "      <td>AS14.33</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1.599500</td>\n",
       "      <td>198.880222</td>\n",
       "      <td>-1.333333</td>\n",
       "      <td>118.978033</td>\n",
       "      <td>44.738625</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.734000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>54.388125</td>\n",
       "      <td>0.169354</td>\n",
       "      <td>13.084375</td>\n",
       "      <td>68.369000</td>\n",
       "      <td>162.983</td>\n",
       "      <td>0.939000</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>6.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-03-11</th>\n",
       "      <td>AS14.33</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>15.521667</td>\n",
       "      <td>75.390690</td>\n",
       "      <td>-0.800000</td>\n",
       "      <td>86.342245</td>\n",
       "      <td>37.289521</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.522000</td>\n",
       "      <td>-0.400000</td>\n",
       "      <td>...</td>\n",
       "      <td>46.412278</td>\n",
       "      <td>0.192901</td>\n",
       "      <td>11.511500</td>\n",
       "      <td>37.174286</td>\n",
       "      <td>162.983</td>\n",
       "      <td>37.594571</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-03-11</th>\n",
       "      <td>AS14.33</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>15.521667</td>\n",
       "      <td>75.390690</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>86.342245</td>\n",
       "      <td>37.289521</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.522000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>46.412278</td>\n",
       "      <td>0.192901</td>\n",
       "      <td>11.511500</td>\n",
       "      <td>37.174286</td>\n",
       "      <td>162.983</td>\n",
       "      <td>37.594571</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1268 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id  mood_avg  utilities_avg  social_avg  arousal_avg  \\\n",
       "date                                                                    \n",
       "2014-02-26  AS14.01  6.250000      23.029000   75.141667    -0.250000   \n",
       "2014-02-26  AS14.01  6.333333      23.029000   75.141667     0.000000   \n",
       "2014-02-26  AS14.01  6.200000      23.029000   75.141667     0.200000   \n",
       "2014-02-26  AS14.01  6.400000      39.207000   36.636000     0.600000   \n",
       "2014-02-27  AS14.01  6.800000      30.086000   50.046611     0.200000   \n",
       "...             ...       ...            ...         ...          ...   \n",
       "2014-03-10  AS14.33  6.200000      18.724333   50.259100    -0.600000   \n",
       "2014-03-10  AS14.33  8.200000       5.111000   99.281685     0.000000   \n",
       "2014-03-10  AS14.33  7.000000       1.599500  198.880222    -1.333333   \n",
       "2014-03-11  AS14.33  6.800000      15.521667   75.390690    -0.800000   \n",
       "2014-03-11  AS14.33  7.000000      15.521667   75.390690    -2.000000   \n",
       "\n",
       "            screen_avg  office_avg  call_avg  other_avg  valence_avg  ...  \\\n",
       "date                                                                  ...   \n",
       "2014-02-26  153.665872   57.402000       1.0  29.968875     0.750000  ...   \n",
       "2014-02-26  153.665872   57.402000       0.0  29.968875     0.333333  ...   \n",
       "2014-02-26  153.665872   57.402000       1.0  29.968875     0.200000  ...   \n",
       "2014-02-26   47.613651   57.402000       1.0  14.020429     0.500000  ...   \n",
       "2014-02-27   67.067644    3.010000       0.0  12.137167     0.800000  ...   \n",
       "...                ...         ...       ...        ...          ...  ...   \n",
       "2014-03-10  113.607750   44.738625       1.0  17.835750     0.400000  ...   \n",
       "2014-03-10  113.657683   44.738625       1.0  27.891895     1.200000  ...   \n",
       "2014-03-10  118.978033   44.738625       1.0   9.734000     1.000000  ...   \n",
       "2014-03-11   86.342245   37.289521       1.0  10.522000    -0.400000  ...   \n",
       "2014-03-11   86.342245   37.289521       0.0  10.522000     1.000000  ...   \n",
       "\n",
       "            communication_avg  activity_avg  weather_avg  entertainment_avg  \\\n",
       "date                                                                          \n",
       "2014-02-26          55.095526      0.134050    30.386000          53.024000   \n",
       "2014-02-26          55.095526      0.134050    30.386000          53.024000   \n",
       "2014-02-26          55.095526      0.134050    30.386000          53.024000   \n",
       "2014-02-26          51.697063      0.236880    30.386000          46.662000   \n",
       "2014-02-27          53.442031      0.142741    30.386000          31.448667   \n",
       "...                       ...           ...          ...                ...   \n",
       "2014-03-10          59.382943      0.012704    13.084375          62.347000   \n",
       "2014-03-10          37.238750      0.103301    13.084375          43.907571   \n",
       "2014-03-10          54.388125      0.169354    13.084375          68.369000   \n",
       "2014-03-11          46.412278      0.192901    11.511500          37.174286   \n",
       "2014-03-11          46.412278      0.192901    11.511500          37.174286   \n",
       "\n",
       "            game_avg  travel_avg  month  day  day_of_week  mood_avg_next  \n",
       "date                                                                      \n",
       "2014-02-26   116.518   70.418846      2   26            2       6.333333  \n",
       "2014-02-26   116.518   70.418846      2   26            2       6.200000  \n",
       "2014-02-26   116.518   70.418846      2   26            2       6.400000  \n",
       "2014-02-26   116.518   37.305000      2   26            2       6.800000  \n",
       "2014-02-27   116.518   83.961000      2   27            3       6.000000  \n",
       "...              ...         ...    ...  ...          ...            ...  \n",
       "2014-03-10   162.983    0.939000      3   10            0       8.200000  \n",
       "2014-03-10   162.983    0.939000      3   10            0       7.000000  \n",
       "2014-03-10   162.983    0.939000      3   10            0       6.800000  \n",
       "2014-03-11   162.983   37.594571      3   11            1       7.000000  \n",
       "2014-03-11   162.983   37.594571      3   11            1       7.000000  \n",
       "\n",
       "[1268 rows x 24 columns]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# imputing missing values\n",
    "\n",
    "# statistical, ML --> 3D MICE, TA-DualCV \n",
    "\n",
    "\n",
    "merged.set_index(\"date\")\n",
    "merged_sans_nans.set_index(\"date\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "f9d561aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IjzdQqZI7L740FC8v0xn0xYvms3XLRhYtWYX1Lb9J6FbR9V4+toiIiIiI5DFfB3fJ7RTMahUZddexV69epWDBgkRFRdGxY0fj+X79+pGQkMDnn3+erU2jRo2wtbVl06ZNxnNff/01rVu3JjU1lfz58/+r/M15ZGbQHzVJSUk0bdqUa9euYWtry9y5c/91n1ZWVvTp+wx9+j5jMWbx0ohs59q172ycUbek/4CB9B8w8F/nKCIiIiIieYuV1X//yej8+fMTEBDA5s2bjQV6RkYGmzdvNruHGED9+vVZsWIFGRkZxknIkydP4urq+kCKc1CB/kDUrl0722YFmzdvxvmWzdnuxMHBgX379t3v1ERERERERB5LISEh9OvXj8DAQGrVqsWMGTNITk427uret29fSpcubXyO/aWXXmLWrFkMHz6coUOH8vPPP/PWW28xbNiwB5ajCvQHYNeuXbmdgoiIiIiIiNyiW7du/PXXX0yaNIkLFy5QrVo1vvnmG+PGcWfPnjV5XLds2bJs2LCBkSNHUqVKFUqXLs3w4cONP4f9IOgZ9EeUuWfQc4OeQRcRERER+W/7pnu33E7BrJarsj+e+1/333+YQEREREREROQRoAJdREREREREJA/QM+giIiIiIiJikZWVVW6n8NjQDLqIiIiIiIhIHqACXURERERERCQP0BJ3ERERERERscjKWvO6D4tGWkRERERERCQPUIEuIiIiIiIikgdoibuIiIiIiIhYpl3cHxoV6I+ogvb5czsFAH7/46/cTgGAsmWK5XYKIiIiIiIiOdISdxEREREREZE8QDPoIiIiIiIiYpF2cX94NNIiIiIiIiIieYAKdBEREREREZE8QEvcRURERERExCIr7eL+0GgGXURERERERCQPUIEuIiIiIiIikgdoibuIiIiIiIhYZGWtJe4Pi2bQRURERERERPIAFegiIiIiIiIieYCWuIuIiIiIiIhlVprXfVhUoD9GMjMzWbRoAevWfUFS0mX8/KoQEjKGMmXK5thu7do1rFoVjsFgwN3dnWHDQvD29jHb/7hxo9i9eyevvx5GgwaNLOaxZPFC1q//kqSky/j6+TN8+Og75vH5Z2tYvXolBoMBNzc3hgwdiZfXzTxCQoYQfeigSZu2bTswYuSYHPsVERERERHJC/SnkLv03HPPcerUqRxjXFxcHlI2/8zKlctZsyaSkJAxzJ27gAIF7BkzZiSpqakW22zZsok5c2bSv/8zzJ+/CDc3d8aMGUl8vCFbbFRUxF39RmLEqnDWro1i+IjRzJr1Mfb2BRg/PoSrVy3nsXXrZubNm0WfvgOYN28hldzcGT8uhPj4eJO41m3asTryc+Mx8PlBd8xHREREREQkL1CBfpcWLFiAm5tbbqfxj2VmZhIVtZo+ffoTFNQQNzd3QkMnERsby7Zt31tsFxm5ijZt2tOqVVsqVKhISMhY7O3tWL9+nUnczz+fJCJiJWPHvnzHPD79NJJevftSv34DKrm5M27cK8TFxrF92w8W262JWkXr1u1o2bIN5StUZMSIMdjZ2fPNN6Z52NvZ4+TkbDwKFSp0F6MjIiIiIiKWWFlb5cnjUfTYFOhJSUm0bNkSf39//P392bBhA8uWLcPf3x8/Pz/eeecdY+wnn3xClSpVqFq1KqNHjwagcePGHDlyBIDnn3+egIAAfH19effdd+/q+qdOnaJBgwbUqFGDWrVqcfDgQQBq167N6dOnjXEeHh7ExsZy8uRJAgMDqVq1KiEhIQQGBv6rz3/+fAwGQxwBATf7KVy4MD4+Phw9esRsm7S0NE6cOGHSxtramoCAmiZtUlJSeOONVxkxYhTOzs53lUeNGjVN8vD2zjmPkydPUqOGaR41agRy9OhPJrGbN2+kc6c2PPdsHxYsmEdKSkqO+YiIiIiIiOQVj80z6Bs2bMDZ2ZlvvvmGzMxMzp49y6BBg9izZw8FCxakXr16NGnShPz58zN9+nR++OEHHBwcMBiyL+V+++23cXJy4tq1azRo0IBu3bpRtmzOz0+7urqyadMm7OzsiI6OZtSoUWzcuJHg4GAiIyMZN24c+/bto3z58ri4uNC3b19eeeUVOnbsyCuvvJJj36mpqdmWqaempmJnZ2d8feNzODk5mcQ5OjqZ/YwAiYkJZGSkm21z9uxvxtezZ3+Ar68/QUENc8wTMC6Nd3R0NDnv4OiIwcyy+aw8EsnISMfRMXsev/9+M48mTZ6iRImSODu78OvpU8yfP5c/fj/Lq1PeumNeIiIiIiIiue2xKdD9/f0ZMWIEY8eOpVOnTvz55580bdrUWHx26dKFbdu2YWVlRbdu3XBwcACyF7QAK1euZMGCBaSnp/PHH39w/PjxOxboqampDBkyhOjoaGxsbPjrr78ACA4OpkuXLowbN46oqCiCg4MB2LdvHx06dACgW7dufPPNNxb7DgsLY8qUKSbnunbtzvHjx4yv33777mb679X27T+wf/8+5s9fbPb9zZu+Zfr0m6sT3nxr2gPJA7I2hLuhUiU3nJydGTN6ODEx5yhbptgDu66IiIiIyKPMSru4PzSPTYHu4eHBwYMHWbduHSEhIbRp0+Yf9XP69Glmz57Njh07KFq0KF26dMlxk7UbZsyYQYUKFVi+fDnJyclUqFABgPLly2Ntbc3p06f57LPP+OEHy89hWxIaGkpISIjJuT/+uEhycrLxdVraVSBrJt3Z+eZmdvHxBtzdK5vtt2hRB6ytbbLNsMfHG4x/uNi/fx8xMedo27aFSczkyRPw96/K629MxeuWHd9v5BEfH2+SR0J8PG5u7hbyKIq1tU22jeni4w04OlleUn9jh/dz5/4AqlmMExERERERyQsemz+FxMTEUKhQIfr168eIESM4ffo0mzdvJj4+ntTUVD799FMaNGhAkyZNiIiIIDExESBbcXr58mUKFy5MkSJF+OOPP9i0adNdXf/SpUuUKlUKKysrFi9ebPJecHAwr7zyCmXKlDHuBF+jRg2+/PJLACIjI3Ps287OjiJFipgcjo6OlClTxnhUqFARJydn9u/fa2yXnJzM0aNH8fHxM9uvra0tnp6e7N+/z3guIyODffv2Gtv07NmHhQuXsmDBYuMBMHjwMMaPn0DBggUpXbqM8ShfPiuPA7flcexYznl4eHiw/4BpHgcO7MPHx9fiuJw69TMAzjkU8SIiIiIiInnFYzODfvjwYUaPHo2NjQ0FChRg4cKFNG7cmIYNG5KZmUm/fv2oUaMGAMOHD6d+/frky5eP5s2bM23azWXZVatWxdvbGy8vLypUqEBQUNBdXX/QoEE8/fTTzJ8/n06dOpm8FxwczJgxY/joo4+M56ZPn07v3r2ZOHEiDRo0oEiRIv/q81tZWdGlS1eWLVtCmTJlcXUtxcKFH+Pi4mLy7HhIyFCCghrRuXOX67l1JyzsDTw9vfD29iEqKoKUlBRatWoLgLOzs9mN4YoXL4GraymupWdky6Nz52DCw5dQukxZSpZ0ZfGiBTi7OFM/qIExbszo4dQPakjHjk8D8HSX7kyb+iaeHl54ennz6ZrVpKRcoWWLrJUQMTHn2LJ5I7Vq16FIkaKcPn2KuXNmUqVKNSpZmJkXEREREZG78IjumJ4XPTYFeosWLWjRwnQZto+PD3379s0W+9xzz/Hcc8+ZnPvuu++M/16yZInZa8TGxlq8fuXKlYmOjja+njx5svHf5cuXJzMz0yS+XLly7NmzBysrK9555x3s7e0t9n23evToTUpKCu++O5WkpCT8/aswbdr7JpvJnTt3jsTEBOPrJk2akZCQwKJF8zEYspbDT5v2vtln8+9Wt+69SElJYfr700hKSsLP35+3w94jf/6becTEmObx5JNNSUxMYPHiBcTHG3Bzcyfs7fdwvJ5Hvnz52L9/L2vWrCYlJYXixYvToEFjevXu94/zFBEREREReZisMm+vDCVP+O677xgxYgTp6emUKVOGpUuXUqzY3W90dv583APM7u7dPoOeW7RJnIiIiIjIP7P1hYG5nYJZT340P7dTuO8emxn0h+Xw4cP06dPH5FzFihVZu3btPfXTuHFj42+li4iIiIiI5BYrKy1xf1hUoN9n/v7+KqxFRERERETknj02u7iLiIiIiIiI5GWaQRcRERERERGLrKw1r/uwaKRFRERERERE8gAV6CIiIiIiIiJ5gJa4i4iIiIiIiGXaxf2h0Qy6iIiIiIiISB6gAl1EREREREQkD9ASdxEREREREbFIu7g/PBppERERERERkTxABbqIiIiIiIhIHqAl7o+ogsmG3E4BgALOzrmdAgDnz8fldgoAuLrmjfEQEREREblr2sX9odEMuoiIiIiIiEgeoAJdREREREREJA/QEncRERERERGxSLu4PzwaaREREREREZE8QAW6iIiIiIiISB6gJe4iIiIiIiJikZV2cX9oNIMuIiIiIiIikgeoQBcRERERERHJA7TEXURERERERCyz1hL3h0Uz6CIiIiIiIiJ5gAp0ERERERERkTxAS9wfI5Hr1rF8zafExcdTuWJFRr/4Ar6enmZjT/32Gx8vD+f4L79w/uJFRg4cSI+OHUxiPg4PZ8GKlSbnypcpQ+RH8yzmsDIqisXLw4k1GPB0dyd0VAj+vr4W4zds3sysjz8m5vwFypUtw8jBg2lYr57x/dg4A9Nnz2bH7t1cvnyZgOrVCA0ZRflyZe84HpmZmSxatIB1674gKekyfn5VCAkZQ5kyObddu3YNq1aFYzAYcHd3Z9iwELy9fcz2P27cKHbv3snrr4fRoEGjO+YkIiIiIpLXWFlpXvdh0UjfJ2fOnCEwMDC307Bo4/ffM2P+Ap7r2YOlMz+gcsWKDJs4CUNCgtn41NRUSpcsyeD+/XB2dLTYb6Xy5Vi/bJnxmD9tqsXYbzZu4p0PZvLic8+yesliPCpX5oURI4kzGMzGH4yOZtykyXRu147IJUto0rAhw8eO4+dTp4CsAnj4uHH8ERPDzGlTWb10Ca4lSzJw2DD+vnLljmOycuVy1qyJJCRkDHPnLqBAAXvGjBlJamqqxTZbtmxizpyZ9O//DPPnL8LNzZ0xY0YSH5/9M0RFRegnKURERERE5K49NgV6RkZGbqeQq1as/YyOLVvQ7qmnqFSuHOOHDMbe3o4vv91oNt7Hw4Nhzz5D80aNyG9ra7FfG2sbXJwcjYdD0aIWY5euXMnTHdrTqW1b3CpWZNK4sRSwt2PtunVm45dHrKZ+ndoM6N2bShUrMPSFF/Dx9GRlVBQAv/3+O9FHjjBx7Bj8fHyoWL48E8eOJTU1la8tfK4bMjMziYpaTZ8+/QkKaoibmzuhoZOIjY1l27bvLbaLjFxFmzbtadWqLRUqVCQkZCz29nasX2/6GX7++SQRESsZO/blHPMQERERERG54ZEq0Nu2bUtAQAB+fn6Eh4dz5swZ/P396d69Oz4+Ply5coU+ffpQpUoVatWqxcGDBwF49dVXmTVrlrEfFxcXAGJiYqhfvz5Vq1alSpUqREdHm73O3di5cyd169alRo0aNGrUiN9++42MjAzc3NxITk4G4MqVK5QvX55r166xY8cOfH19qV69OoMHD6ZLly7/eFzS0tI4/ssv1KxWzXjO2tqamtWqcfj48X/cL8DvMTG07tOXjs88y8R33uHCxYsWczh64gR1atY0yaFOzZocOnzEbJtDR46YxAPUq1PbGH/16lUA7PLnN+nT1taW/YcO5Zj3+fMxGAxxBATcXPVQuHBhfHx8OHrUfD5paWmcOHHCpI21tTUBATVN2qSkpPDGG68yYsQonJ2dc8xDRERERCSvs7K2ypPHo+iRKtCXLl3Kvn372LVrF2+++SapqakcO3aMl19+mePHjzN79myeeOIJoqOjmTlzJv369cuxv5UrV9K4cWMOHTrE/v37cXd3t3idO/Hx8WHbtm3s37+fUaNG8cYbb2BtbU2rVq1Yd30Gef369TRv3px8+fIxcOBAli1bxoEDB0hMTMyx79TUVC5dumRypKZeNb6fcOkS6RkZODk4mLRzcnAgLj7+jrlb4ufpyaSRI/ngtSmMGzyImAt/8vzYcST//Xe22PiEBNLT03F2cjI57+zoRFxcnNn+Y+PizMbHXo+vWKECriVLMmPuXBIvXSItLY2FS5fx58WLxhhLDNeX1Tvd1r+jo5PxvdslJiaQkZF+xzazZ3+Ar68/QUENc8xBRERERETkVo9UgT59+nSqVq1KvXr1OHv2LNbW1nh4eFClShUAtm3bRu/evQGoU6cOV65cybH4rVmzJuHh4UyePJljx45RsGBBs9c5e/bsHXOLj4+nc+fO+Pn5MX78eI4ePQpAcHAwkZGRAERFRREcHExCQgJpaWnUqFEDgG7duuXYd1hYGEWLFjU53s9ho7b7pV5gIM0aBFG5YkXqBgQwY8qrXE5OZtMP2x74tQFs8+Vj+tth/Hb2d4Kat6Bm4yfZs38fQXXrZnv2e+PGDbRs2dR4XLt27YHktH37D+zfv48hQ4Y/kP5FREREROTR9cjs4r5161a2b9/Orl27sLe3JzAwkNTUVGNRnZN8+fKZPKN+Y0a8YcOGbN++nXXr1tGjRw/eeustnnjiCbPXsc3hOW2ASZMm0aZNG55//nmOHDlC//79AWjQoAHPPPMMcXFx7Ny5k2XLlnH58uV7+uyhoaGEhISYnEv5/Xfjvx2KFMHG2jrbhnCGhIQcN4C7V08ULky50qX543xMtvccHRywsbHJtiFcXLzB4jJwF2dns/Eut8T7enkRtWwpl5OSSEtLw8nRkZ7PPIuPt5dJu/r1g/D2vrlbfFpa1goDg8GAs7OL8Xx8vAF398pm8yla1AFra5tsM+zx8QbjrPr+/fuIiTlH27YtTGImT56Av39VVq9eZbZvEREREZE8S7u4PzSPzEhfunQJZ2dn7O3tOXjwIIfMPIMcFBTEihUrANi9ezcFCxakaNGilC9f3vg8+saNG0lKSgLgt99+o2TJkrzwwgv06dOH6Ojou7qOpfxKly4NwOLFi43nbyxzHzp0KM2aNSNfvnw4OjqSL18+Y043ZtgtsbOzo0iRIiaHnd3N57JtbW3xcndnz8GbuWZkZLD34CH8vbzMdfmP/H3lCufOn8fltiXgN3Lw8fRk1569Jjns3LOXqv5+Zvur6udnEg+wY/dus/FPFC6Mk6Mjv539nZ+OH6dJQ9Pl5QULFqJMmTLGo0KFijg5ObN//83+k5OTOXr0KD4+5vOxtbXF09OT/fv3mXyGffv2Gtv07NmHhQuXsmDBYuMBMHjwMMaPn2C2XxEREREREXiEZtBbtmzJ3Llz8fHxwdfXl4CAgGwxgwcPZuDAgVSpUgV7e3sWLVoEQOfOnVm8eDH+/v40bdrUOKP73Xff8c4772Bra4uDgwMrV67E0dHxjtcxZ+zYsfTr14+JEyfSsmVLk/eCg4Np3LgxGzZsMJ77+OOP6dWrF3Z2dgQEBJAv37+7VT07dWTK+9PxrlwZXw8PVn3+OVdSUmj7VDMAJr/3HsWdnRl8fWY/LS2NX89mzcKnXbvGX3FxnDx1mgIF7ClbqhQAHyxYSIPatShZvDixcQY+Dg/H2tqa5o3M/9533x49mPD66/h6e+Hv48uyiFVcSUmhY5u2ALw8ZQrFixVjxKBBAPTu1pUBLw1iSfgKGtSvxzcbN/HTseNMHj/e2OeGzZtxcnCkZMkS/HzqFFPfn06Thg2pV7t2juNhZWVFly5dWbZsCWXKlMXVtRQLF36Mi4uLybPjISFDCQpqROfOWZv0BQd3JyzsDTw9vfD29iEqKoKUlBRatcr6DM7OzmZXBBQvXgJX11I53yQREREREXmsWWVmZmbmdhKSXXJyMoUKFQJgyJAheHl5MWTIkLtun/jLz9nOrf7yS5av+ZS4+Hg8KlVi1Asv4OflCcCL48fjWrwEk0NGAhDz5590fObZbH3U8Pdj3ttvAzBh6lQOHPmJxEuXcCxalKq+PrzUty9lXF2N8QVuK1ZXREayOHwFsXFxeFWuzPiQEKr4ZS09H/DSIEq5uvLmpInG+A2bNzPro485d/485cuWZeSQwTSsV8/4fnjEahaFhxNnMFDMxYV2rVry4jPPZHvkIC4l+9c8MzOTRYsW8OWXn5OUlIS/fxVGjhxN2bLljDHdunWmZcvWDBjwnPHcp59GERERjsGQtRx+6NCR+Pj4Zuv/hsaN6/H662E0aNAIV1ft6i4iIiIi/y07Qsfmdgpm1Q2bltsp3Hcq0POoFStWMG3aNK5evUrVqlX55JNPKFCgwF23N1eg54bbC/TcYq5Azw0q0EVERETkv0YF+sPzyCxxzys2bNjAuHHjTM7Vr1+f2bNn31M/PXv2pGfPnvczNREREREREcnDVKDfZy1atKBFixZ3DhQREREREfkPsNIu7g+NRlpEREREREQkD1CBLiIiIiIiIpIHaIm7iIiIiIiIWGZtldsZPDY0gy4iIiIiIiKSB6hAFxEREREREckDtMRdRERERERELNIu7g+PRlpEREREREQkD1CBLiIiIiIiIpIHaIm7iIiIiIiIWKZd3B8azaCLiIiIiIiI5AGaQX9E/WlVKLdTAOCJlMzcTgEAR9uM3E4BgKMn/8jtFPDxKJPbKYiIiIiIiBkq0EVERERERMQi7eL+8GikRURERERERPIAFegiIiIiIiIieYCWuIuIiIiIiIhFVtrF/aHRDLqIiIiIiIhIHqACXURERERERCQP0BJ3ERERERERscxKS9wfFs2gi4iIiIiIiOQBKtBFRERERERE8gAtcRcRERERERGLrKw1r/uwaKRFRERERERE8gDNoD9GMjMzCV++iG+/+Yrk5CS8ffwYNHgkpUqXybHdV1+u5dM1EcTHG6hY0Y0XXhqGh6e38f14g4FPFs7j4MG9XPn7CqXLlKVrt17UD2pkMY9Fixawbt0XJCVdxs+vCiEhYyhTpmyOeaxdu4ZVq8IxGAy4u7szbFgI3t4+ZvsfN24Uu3fv5PXXw2jQwHwet1u1Zg1LVqwk1mDAw92N8SNH4u+TvX+AX06fZs6ChRw7cYKYCxcYM2wYvbt1vavr3J7ryvDFbPp2PcnJSXh5+/HCoOGUKpXzPVn/1Wd89ulqEuINVKjoxnMvDMXDw8v4/vnzMSz5ZB7Hjh4hLS2N6jVqMvCFITg4Ot1zjiIiIiIi8nBoBv0W6enpuZ3CA7UmahXrvviUQUNG8u70Odjb2zNp4liuXr1qsc0P/9vCgvlz6dGzHzM+/JiKldyYNHEsCQnxxpj33wvj3LnfmTjpTWbNWUi9eg2Y9vZrnDr1s9k+V65czpo1kYSEjGHu3AUUKGDPmDEjSU1NtZjHli2bmDNnJv37P8P8+Ytwc3NnzJiRxMcbssVGRUVgdY87TX6zaTPvfjiLF54ZwKpPFuLp7s5LISHExcebjU9JTaVMqVIMe+lFXJyd7+lat1q7ZhVfrVvLC4NGMPXdWdjZ2/PapPE53pNtP2xl0YJ5dOvRl/dmzKNCRTdemzTOeE9SUq4wZdJYsLLitTffJWzaB1y7lsabr79CRkbGP85VRERERB5PVlZWefJ4FD2yBXpSUhItW7bE398ff39/NmzYwFdffUX16tWpWrUqPXv2BKB///689NJL1KpVi7fffpu9e/fSqFEjAgICaNeuHQZDVgFo6XyFChV49dVXqVatGjVr1uT8+fMWc5o3bx41a9Y0Xj8tLY1jx47RsGFDY8z3339Phw4djPEeHh7Ur1+f7t27M2vWrH88HpmZmXzxWRRdu/ehTt0gKlZ0Y+SoUAxxsezcsc1iu8/WRtKiZRuaNW9FuXIVGDQkBDs7ezZ++7Ux5vixI7Rt1wkPT29KupaiW48+FCpUmF9+Pmk2j6io1fTp05+goIa4ubkTGjqJ2NhYtm373mIekZGraNOmPa1ataVChYqEhIzF3t6O9evXmcT9/PNJIiJWMnbsy/c0PssiVtG5XTs6tmmDW8WKvDJmDPZ29ny2bp3ZeD9vb0KGDKZVs2bkt7W9p2vdkJmZybovPiW4a29q16lPhYpuDB85DoMhll07Ld+TLz6L4qkWrWnarCVly1XgxUEjsLOzY/PGbwA4fvQn/rr4J8NGjKV8hUqUr1CJYSPHceqXkxyOPvCPchURERERkQfvkS3QN2zYgLOzM4cPHyY6Ohpvb2+GDh3KunXrOHTokEmxGxcXx65duxg7diyjRo1i7dq17Nu3j06dOhEWFkZaWprZ8zeUKVOGgwcP0qpVKxYsWGAxp65du7Jnzx4OHTpEyZIlWb16Nd7e3iQkJBgL+8jISLp27cq5c+d499132bNnD99++y0HDvy7wurPC+eJjzdQrVqA8VyhQoXx8PTm+LGfzLZJS0vjl19OUvWWNtbW1lSrVoMTx2+28fL244fvt3L58iUyMjL4/n9buHr1Kv5VqmXr8/z5GAyGOAICAo3nChcujI+PD0ePHrGYx4kTJ0zaWFtbExBQ06RNSkoKb7zxKiNGjML5Hma109LSOHbiJHVqmvZfJzCQ6CPmx+Z++PPPrHtStVoN47lChQpT2cObE8ePWsz11C8nqVr1Zhtra2uqVKvBiRNZbdKuZc2+297yh4P8+fNjZWXFMQtjLCIiIiIiue+RfQbd39+fESNGMHbsWDp16sRff/1FkyZNKF26NABOTjefxe3SpQtWVlacOHGCQ4cO0aRJEwCuXbuGr6+vxfM3dOrUCYCAgAC++OILizkdOnSIiRMnkpiYSGJiIgUKFADg6aefZs2aNQwePJj169fz5ptvsmXLFpo2bUrRokUBaNu2rcV+U1NTsy0Pv5qaSn47O+PrG0vBHRwdTeIcHBzNLhMHuHQpkYyMDBzNtPnj97PG1+NCJzPt7Sn07NYBGxsb7OzseXnia5QqVTpbnzdWHtw6/gCOjk7G926XmJhARka62TZnz/5mfD179gf4+voTFNTw9i5yFJ+QSHp6Os639e/s5MSvt/R/vyVcXz5f1CH7+CZYWFp/+fo9KWrmnpz743cAPDx9sLcvwNLF8+nd51kyyWTZkgVkZGQQb4h7AJ9ERERERB5p2sX9oXlkC3QPDw8OHjzIunXrCAkJoUePHhZjCxYsCEBGRgbVq1dn69atJu9HR0ebPX+D3fVC2MbGJsfn2J999lm++uorvL29mTVrFmfOnAGyZtZffPFFqlevjp+fH0WKFCEzM/OuP2tYWBhTpkwxOff00135+efjxteTpoTd3uy+CV/2CclJSbzx1rsUKVKUnTu2My1sCm9Pm8mFmLO89940Y+zbb7/7QHLYvv0H9u/fx/z5ix9I//fDVxu+5bVpN8diwqS3Hsh1ihZ1YMy4ScybO4OvvlyLlZUVDRo2oZJbZf1EhoiIiIhIHvbIFugxMTE4OTnRr18/7O3t2bBhA9999x3nzp2jdOnSGAyGbDOyXl5e/P777+zbt4+AgABSU1P59ddfczx/L5KTkylRogRXr15l5cqV1K1bFwBvb2/i4+P58MMP6do1ayfwmjVrMnbsWC5dukS+fPn46quvGDJkiNl+Q0NDCQkJMTl34uffSf77b+PrtLSsZc8J8fE4Od1c/p2QEE+lSu5m+y1SpCjW1tbE3zabm5AQj+P1sTt//hzrvlzLrLmfUL58RQAqVnLnp5+i+WrdZwwbOgxv75urDW7kYTAYcHZ2MZ6Pjzfg7l7ZbB5FizpgbW2TbYY9Pv7mPdy/fx8xMedo27aFSczkyRPw96/K0jkfmu0bwNGhKDY2NsTd1n+cwYCL0z/fAO52jYOCcCh9c6zT0tIASEzIfk8qVnIz28cT1+9Jopl7cusO7dVqBDJv/nIuJSZiY2NDocKFGdCnCyVKut63zyMiIiIiIvfXI1ugHz58mNGjR2NjY0OBAgVYuHAhnTt3pk2bNmRmZuLv78/y5ctN2uTPn5+IiAiGDx/O5cuXSU9PZ+LEiXh5eVk8fy9effVVAgMDKV68ONWrVzd57+mnnyYsLIyPP/4YyHqufcSIEQQGBlKsWDG8vb0pUqSI2X7t7OyMs/g3FHVwNFk6nZmZiaOjE4cO7aeSW1aR+PffyZw8cYzWbTqY7dfW1hZ3dw+iD+2nbr0gIGuVwaGD+2nTLmtZf2pK1tJ6ayvTmVlra2syMzMoWLAQBQsWMsnDycmZ/fv3UrmyB5D1h4ujR4/Svn0ni3l4enqyf/8+40+mZWRksG/fXjp1ehqAnj370KZNO5N2zzzTh8GDh1Hveu6W2Nra4u3pwa69+2hyfcO+jIwMdu3bR/enO+fY9l4UKlQQ11uW/d+4J9GH9lOx0s178vPJY7Rs3c5sH7a2tri5exAdfYDadW/ek8OHDtCqTcds8UWuPyIRfegAiYkJ1KpV7759HhERERF5PDyqO6bnRY9sgd6iRQtatDCdTfXx8cn2LPfixYtNXgcEBLBtW/YdtC2dv7FMHbKeE8/pWfGXXnqJl156yex7kydPZvLkySbn+vXrx+DBg7ly5QoNGzbMVtTfCysrK9p37ELEqmWUKlWaEiVcWb7sE5ycXahT92YBOyE0hLr1GtD2egHesVMw099/G/fKHnh4ePP551GkpKbQ7KmWAJQpWw7XUqWZ/eH7PPPcizxRpAg7d2zn4IF9THo1+xJuKysrunTpyrJlSyhTpiyurqVYuPBjXFxcTJ4dDwkZSlBQIzp37gJAcHB3wsLewNPTC29vH6KiIkhJSaFVq6zxdnZ2NrsxXPHiJXB1LQXk/PNifbp1Z+Kbb+Lr5YWfjzfLV6/mSsoVOrZpkzUur79OcZdiDH/pReD6Zm2/njH+++Jff3H85M8ULFiAcmVy/g3zW8eibfvOREaE41qqDCVKlGTF8kU4OblQu87NezJpwmjq1A2idduOALTv2IWZ06fi5u5BZQ8v1n2+hpSUFJo2u/l937zpG8qUKUeRog6cOP4TC+fPpl2Hpyl9h9+aFxERERGR3PPIFuiPgokTJ7J161ZSUlLo27cv/v7+/6q/p7t0JyXlCrM+fI/kpCR8fP2Z8tpU8ufPb4y5cD6GS4mJxtcNGjUh8VIi4csWEx9voFIlN6a8NhXH68up8+XLx6tT3mbxoo95fcoErly5gmupUowIGU9gzTpm8+jRozcpKSm8++5UkpKS8PevwrRp75usAjh37hyJiQnG102aNCMhIYFFi+ZjMGQth5827f1sjyn8Uy2bNSU+IYE5CxYQazDgWdmdOe+9Z9w47sKff5qsErgYG0u3AQOMr5esXMmSlSsJrF6Nhffwc3idnu5OSkoKc2e9T3JyEt4+/kycEmZ6Ty7EcOnSzXsS1OBJLiUmsip8MfHxWcvhJ01522SJ+7k/fmf5kgUkJV2mWPESdOnai/YduvyjsRERERERkYfDKvNediOTu/Lmm28SGRlpcm748OEMuKWge9BOnop5aNfKyRMF7e4c9BA42uY8g/6wnDak3jnoAfPxuLsZfhERERERgP3T3s7tFMyqMXZ8bqdw32kG/QGYMGECEyZMyO00RERERERE5D9Ev7kkIiIiIiIikgdoBl1EREREREQssrLWLu4Pi2bQRURERERERPIAFegiIiIiIiIieYCWuIuIiIiIiIhFVlaa131YNNIiIiIiIiIieYAKdBEREREREXkszJ49mwoVKmBvb0/t2rXZvXv3XbVbtWoVVlZWdOzY8YHmpwJdRERERERELLO2ypvHPYqIiCAkJITJkyezf/9+qlatSosWLbh48WKO7c6cOcPo0aNp0KDBPx3Bu6YCXURERERERB5577//PgMHDmTAgAH4+Pgwb948ChYsyCeffGKxTXp6Or169WLKlClUqlTpgeeoAl1ERERERET+c1JTU7l06ZLJkZqaajb26tWr7Nu3j2bNmhnPWVtb06xZM3bs2GHxGq+99hrFixfn2Wefve/5m6MCXURERERERCyysrLOk0dYWBhFixY1OcLCwsx+htjYWNLT0ylRooTJ+RIlSnDhwgWzbbZt28bChQuZP3/+fR9TS/Qza48ohyfsczsFAGL+upzbKWRxKpzbGQBQubRDbqdASnJybqcAgH2hQrmdgoiIiIj8h4WGhhISEmJyzs7O7r70ffnyZfr06cP8+fNxcXG5L33eDRXoIiIiIiIi8p9jZ2d31wW5i4sLNjY2/Pnnnybn//zzT0qWLJkt/tSpU5w5c4Z27doZz2VkZACQL18+Tpw4gZub27/I3jwV6CIiIiIiImKR1T/YMT2vyZ8/PwEBAWzevNn4U2kZGRls3ryZIUOGZIv38vLi8OHDJudeeeUVLl++zAcffEDZsmUfSJ4q0EVEREREROSRFxISQr9+/QgMDKRWrVrMmDGD5ORkBgwYAEDfvn0pXbo0YWFh2Nvb4+fnZ9LewcEBINv5+0kFuoiIiIiIiDzyunXrxl9//cWkSZO4cOEC1apV45tvvjFuHHf27FmsrXN3H3WrzMzMzFzNQB6IixcNuZ0CkHc2iSuRRzaJcylyfzat+DfSyRtLlLRJnIiIiMh/Q/SHH+R2CmZVGTo8t1O47/QzayIiIiIiIiJ5gAp0ERERERERkTxAz6CLiIiIiIiIRY/CLu7/FZpBFxEREREREckDVKCLiIiIiIiI5AFa4i4iIiIiIiKWWWle92FRgf4YyczMZOHC+Xz55RckJV3G378Ko0aNpWzZsjm2+/TTKFauDMdgMODm5s6IESH4+Pga33/nnbfZu3cvsbF/UaBAQfz9/XnxxUGUL1/BYh6Rq5ayeePXJP+dhKeXL889PwzXUqUt5nD0p2i+/DySX0/9THy8gdHjJlOzdn2TmF07t7FpwzpOn/qZpKTLTH1vLhUquuU4HosWLWDduqzx8POrQkjIGMqUyXk81q5dw6pVWePh7u7OsGEheHv7mO1/3LhR7N69k9dfD6NBg0bZYlZGrGbR0qXExsXh6VGZl8eOxd/Pz+K1N2zcyKy5czkXc57y5coyctgwGgYFmcScOv0r02fOZO/+faRfS6dSpUrMeGcarq6uFvtdFRHBkut5eHh4MP4OeXy7cSOz584lJiaGcuXKMWLYMBpczyMtLY1Zc+awbft2/vjjD54oXJjatWszfNgwihcrZrFPEREREZHHnf4UAnTv3p0qVaqwaNEiIiMj8fb2plOnTsybN4+IiIjcTu++WbFiOWvWRDJ69Fg++mghBQoUYNSoEaSmplpss3nzJmbNmkn//s+yYMFi3N0rM2rUSOLjb/7OuqenF6GhE1i+fBXvvTeDzMxMQkJGkJ6ebrbPL9au5uuvPuO5F4fx5tszsbez563XQ7l69arFPFJTUyhfoRLPDBxiOSYlBU9vP3r2ee4uRgNWrswaj5CQMcydu4ACBewZM2ZkjuOxZcsm5syZSf/+zzB//iLc3NwZM8Z0PG6IiorAysryhhpfb/iWae+/z0vPP0/kinA8K3vwwuAhxBnM/4b9gUOHGPvyBDp16EjkihU0adyYYSGj+PmXX4wxZ3//nb7PPkvFChVY9PHHrIlYxYsDnyO/neXfX/9mwwbeff99Xnj+eVatWIFn5cq8NHiwxTwOHjrE+JdfplOHDkSsWMGTjRszIiTEmEdKSgrHjx/n+eeeI2LFCt5/913O/PYbw0eMsJiDiIiIiIioQOfChQscOXKE6OhoBgwYwMKFC1m2bBlr167lxRdfpFu3brmd4n2RmZnJ6tUR9O3bnwYNGuLu7s6ECZOIi4vlhx++t9guImIl7dq1p02btlSsWJHRo8dib2/HV1+tM8a0b9+RatWq4+rqiqenJ8899wIXL/7JhQvnzeaxft1aOnfpSc1a9ShfoRKDh40l3hDHnt3bLeZRvUYtuvccQK06QRZjGjZuRpeuvfGvWv2uxiMqajV9+vQnKKghbm7uhIZOIjY2lm3bLI9HZOQq2rRpT6tWbalQoSIhIVnjsX79OpO4n38+SUTESsaOfdliX0vDl9OlUyc6dWiPW6VKTJrwMvb29qz9/HOz8ctXrKR+3bo8068vbpUqMnTQIHy8vFgRsdoYM3P2HBrUr8+oEcPx9vKiXNmyPNmoEc5OThbzWBYeTudOnejYoQNulSrxyoQJ2Nvb85mFPMJXrKBe3br079ePSpUqMWTQILy9vFh1/Y9ZTzzxBB/NnUuL5s2pUKECVapUIXTcOI4eO8b589m/EyIiIiKSt1lZW+XJ41H02BXoU6dOxc/PD39/f8LDw2nVqhWnT5+mWrVqvPnmm2zbto3evXvz2muv8eqrrzJr1iwATp48yZNPPknVqlWpWbMmiYmJpKenM2rUKGrWrEnVqlUJDw+3eN2dO3dSt25datSoQaNGjfjtt9/IyMjAzc2N5ORkAK5cuUL58uW5du0aO3bswNfXl+rVqzN48GC6dOnyrz73+fMxGAxxBAbWNJ4rXLgw3t4+/PTTEbNt0tLSOHnyBAEBN9tYW1sTGFjTYpsrV66wfv06XF1LUbx4iWzvX/zzAgkJBvyr1jCeK1ioEO6Vvfj5xLF/+vHu2Y3xCAgINJ4rXLgwPj4+HD1qeTxOnDhh0sba2pqAgJombVJSUnjjjVcZMWIUzs7OFvs6euw4dWrXMumrTu1aHIo+bLbNocPR1K1d2+Rcvbp1ORQdDUBGRgbfb9tGhfLleH7QYBo2bUaPvn3ZvHWrxXFIS0vj2LFj1Lml36w8ahN9vd/bRR8+bBJ/Iw9L8QBJSUlYWVnxxBNPWIwREREREXncPVYF+p49e1i9ejV79+7lf//7H5MmTWL27Nn4+Phw8OBBJkyYQGBgIFFRUUyaNMmkbe/evQkNDeXQoUNs3bqVggULsnDhQlxdXdmzZw87d+5k2rRpxMXFmb22j48P27ZtY//+/YwaNYo33ngDa2trWrVqxbp1WbOv69evp3nz5uTLl4+BAweybNkyDhw4QGJiYo6fKzU1lUuXLpkcty/TvpGXo6PpTKqTkxMGg/mcExMTSE9Px+m22VdHR6dsn3Pt2jU0b96E5s2bsGvXDqZP/wBbW9tsfSYkZC2bLlrUweR8UQdHEuLjc/yc95Ph+vJtc5/NYGFpd2JiAhkZ5sfj1jazZ3+Ar68/QUENLV4/PiFrbJ2dTAt4ZydnYuNizbaJjY3D2dn02i7OTsRevxcGg4G///6bhYsWE1SvHh/PmU3TJ59kxOgx7Nm37w55mPbr7HSz3+x5xGb7w4Ozs7PF+NTUVGZ88AGtWrakcOHCZmNEREREROQx2yRu+/btPP3009jb22Nvb0/Tpk3Zs2fPHdtdunQJg8FA8+bNAYxFxrfffsuRI0dYvnw5AImJiZw+fdrsrGl8fDx9+vTh1KlTZGRk4OjoCEBwcDAffvgh3bp1IyoqigEDBpCQkEBaWho1amTNMnfr1o0lS5ZYzC8sLIwpU6aYnOvevQfHjh01vp469d07fs5/46mnWhAYWIu4uFhWrVrBpEmvMGfOR/zwv83M/+gDY9z4CW880Dws2bhxA++9N834+u23H8x4bN/+A/v372P+/MUPpP+cZGRmAvBk40b07d0LAC9PTw4eimZ11BpqBgQ89JzS0tIYM24cmcCE0NCHfn0RERER+festIv7Q/NYFej3W0ZGBh999BGNGmXfnft2kyZNok2bNjz//PMcOXKE/v37A9CgQQOeeeYZ4uLi2LlzJ8uWLePy5cv3lEdoaCghISEm586f/4vk5CTj67S0NADi4w24uLgYzxsMBipX9jDbb9GiDtjY2GSbUY6PN2T7I0ThwoUpXLgwZcuWxdfXj9atm/PDD/8jsFZdKnt4ZcsjMTEBx1tmjxMT4nPccf3fql8/CG/vmzvPp6VlbUhnMBhwdr45HvHxBtzdK5vto2hRB6ytzY/HjVn1/fv3ERNzjrZtW5jETJ48AX//qoQvWgCAo0PW2MbdtnohzhCHyy353MrFxZm4ONNrx8YZcLl+LxwdHMiXzwa3SpVMYipVrMj+gwfN9nkzD9N+4ww3+82eh0u2FRRxcXHZ4tPS0hgzfjznz59n/kcfafZcREREROQOHqs/hQQFBfHpp5+SmppKfHw8W7ZsoVatWndsV6RIEZycnNi4cSOQ9TxtWloazZs3Z86cOcbdyo8cOWJx5/JLly5RunTWz4gtXrzYeP7GMvehQ4fSrFkz8uXLh6OjI/ny5ePg9aIqMjIyx/zs7OwoUqSIyeHo6EiZMmWNR4UKFXFycmbfvr3GdsnJyRw7dhRfX/M/p2Vra4uHh6dJm4yMDPbt22uxDWRtwJaZmcnVq2kUKFCQkq6ljUeZsuVxcHDicPQBY/zffyfzy8/HqezpnePn/DcKFixEmTJljMeN8di/33Q8jh49io+P5fHw9PRk//6by8VvjMeNNj179mHhwqUsWLDYeAAMHjyM8eMnmPTl4+3Frt17TPratXsPVav4m71+Vf8q7Ny92+Tcjl27qFqlirFPXx9ffj3zm0nMmbO/Ucq1pMXP5O3tza5b+s3KYzdVrvd7uyr+/ibxADt37TKJv1Gcnz17lo/mzcPBwcFsXyIiIiIictNjNYMeGBhIcHAwAQEBWFlZMWXKlBx/G/pWy5Yt4/nnn2fUqFEUKFCAb7/9loEDB/Lrr79SvXp1MjIycHV15euvvzbbfuzYsfTr14+JEyfSsmVLk/eCg4Np3LgxGzZsMJ77+OOP6dWrF3Z2dgQEBJAv37+7VVZWVnTt2o0lSxZTpkxZXF1dWbBgPs7OLjRocPNZ6eHDh9CwYSOefjoYgG7devDWW6/j5eWFt7cvkZGruHIlhdat2wIQE3OOzZs3UatWbRwcHLh48SLh4cuws7Ojbt26XLmWPY/WbTuxNmoFrq6lKV6iJBErF+Po5EzNWjd/1/z1yWOpWbs+LVt3ACDlyhUuXIgxvn/x4gXO/HqKwoWfwKVYcQCSLl8iNvYv4q/PSsec+x0ABwdHSjiZzt5aWVnRpUtXli1bcn08SrFw4ce4uLiYPDseEjKUoKBGdO6ctUlfcHB3wsLewNPTC29vH6KiIkhJSaFVq6zxcHZ2NvuIQ/HiJXB1LWVyrm+v3kyYPBlfH2/8fP1YvmIFV65coWP79gCETpxE8eLFGDl0KAC9e/ZgwMCBLF62jIZBQXy94Vt+OnqUV1+5WfgP6NuH0eNDCaxRnVqBNdn244/87/sfWPTxR9lyuqFPr15MnDwZXx8f/Hx9s+UxYeJEihcvzvDrefTq2ZNnBw5kyfU8vtmwgZ+OHmXiK68AWcX56LFjOXb8OB9+8AEZ6enExmY9V1+0aFGzexOIiIiISB72iO6YnhdZZWZef3BV8pTk5GQKFSoEwJAhQ/Dy8mLIEMu/AX67ixezb3SWmZnJwoXz+fLLz0lKSsLfvwohIWMoV66cMSY4uBOtWrXhmWdu/pb4mjWRrFy5AoMhDnf3ygwfHoKvb9Zy8djYv5g6NYwTJ45z+fJlnJycqFq1Gv37P0O5cuWJ+Sv7cv3MzEwiVy1l08b1/J2chKe3H88+P5RSpcoYY4a80IdGTz5FcPe+APx05BCvTRqTra9GTz7FoKFZ57/b8i1zZ2V/trxL194MGTTIbB6LFi0wGY+RI0dTtuzN8ejWrTMtW7ZmwICb4/Hpp1FERIRjMGQthx86dCQ+Pr7Z+r+hceN6vP56GA0aNMKliOnvka9YFcGipUuJjYvDy9OD0DFjqOKfNYPef+DzlC7lypu37C+wYeNGPpwzl3MxMZQvV46Q4cNoGGT603OffvY5CxYt4s+LF6lQvjyDX3yBJo0bG99PJ/v/wK5ctYol1/Pw9PRk3C15PDtwIKVKleL1W/L4duNGZs2ZQ0xMDOXKlWPk8OE0uJ7HuZgYWrdta3YsFnz8MTUDs3bBt7/+/RYRERGRvO2n+fNyOwWzfAe+mNsp3Hcq0POoFStWMG3aNK5evUrVqlX55JNPKFCgwF23N1eg5wZzBXpuuH0GPbfcXqDnBnMFem5QgS4iIiLy36AC/eF5rJa4PwwbNmxg3LhxJufq16/P7Nmz76mfnj170rNnz/uZmoiIiIiIyD2zsn6sti7LVSrQ77MWLVrQokWLOweKiIiIiIiI3EJ/ChERERERERHJAzSDLiIiIiIiIpZZ5Y09jB4HmkEXERERERERyQNUoIuIiIiIiIjkAVriLiIiIiIiIhZpF/eHRyMtIiIiIiIikgeoQBcRERERERHJA7TEXURERERERCyy0i7uD41m0EVERERERETyABXoIiIiIiIiInmAlrg/ogoXsMvtFADwKJc38rC1ye0Mbsj95UEZ6Zm5nQIAaYkJuZ0CALZFHXI7BREREZG8Tbu4PzQaaREREREREZE8QAW6iIiIiIiISB6gJe4iIiIiIiJikXZxf3g0gy4iIiIiIiKSB6hAFxEREREREckDtMRdRERERERELLLSLu4PjUZaREREREREJA9QgS4iIiIiIiKSB2iJu4iIiIiIiFhmpXndh0UjLSIiIiIiIpIHqEAXERERERERyQNUoD9GIlZH0LpdG2rXq0Offn05cuRIjvEbN22k09OdqV2vDsHduvLDtm0m72/espmXBg+icdMnqR5YgxMnTvwncgBYGRFB89ZtqFG7Dj369OXwHfLYsHEj7Tp1pkbtOnQK7sr3P5jmMWHSZPyq1zA5Xhg8+C7zaE2N2rXp0afPXebRiRq1a9MpOJjvf/jBYuyUN97Ar3p1loWH3zGPPHNfIiNp3qEjNYIa0GPAMxz+6acc4zds2ky74K7UCGpApx49+X77dpP3//77b9585x2atm1LQIOGtO/WjYg1n95VLiIiIiKSxcraKk8ejyIV6P9S48aNjcWMi4tLLmdj2YZvN/De9Pd5YeDzrFi+Ag+PygwaOhiDwWA2/uChQ4ROeJmOHTqwMnwFjRs3JmR0CL/88osx5sqVK1SrVo1hQ4f9Z3IA+HrDBqa99z4vvfA8kStW4OlRmRcGDSbOQh4HDh5ibOjLdOrYgciVK2jSuDHDQkL4+ZY8AILq1eO7jd8aj2lhYXeRx3u89MIL1/Pw4IVBg3LI4yBjQ0Pp1LEjkStXWswDYNOWLUQfPkzxYsXuOB555r5s3Mi0GR/w0nPPErl0CZ6V3Xlh2HDL4xEdzdiJE+nUvh2Ry5bSpFFDho0Zy8+nThljps2YwbYdOwmbMoUvIlbRp3t33nr3XbZ+//1d5yUiIiIi8rCoQH9MLA8Pp3PHTnRo3wG3SpWYEDoBe3t7Pvvic7PxK1etoF7duvTr249KFSsx+KVBeHt5sWp1hDGmbZu2vDDweerUqv2fyQFg6fJwunTuRKcOHXBzq8SkCVl5rP3MfB7LV66gfr26PNOvH26VKjF08CB8vL1YsSrCJC5//vy4uLgYj6JFitwhj+V06dz5eh5ut+TxmYU8VlK/Xr1b8hiMj7c3K1atMon78+JFwqZOZepbb5Ev3533gcwz92XFSrp07ECndu1wq1SJSePHZ43Hl1+az3tVBPXr1OGZPn1wq1iRoS++iI+XJytWRxpjDkYfpkOb1tQKCKB0qVIEd+qEZ2V3Dv909K7zEhERERF5WFSgW/DJJ59QpUoVqlatyujRo5k3bx41a9akatWq9OzZk7S0tHvq79SpUzRo0IAaNWpQq1YtDh48CEDt2rU5ffq0Mc7Dw4PY2FhOnjxJYGAgVatWJSQkhMDAwH/8WdLS0jh2/Bi1a98slqytraldqzbR0dFm20RHH6b2bcVV3bp1iT5sPv6/kMONPI4eO0ad2/KoU7s2hyzkcSj6MHVrm+ZRr27dbPF79u6lYZOmtO3YidfefIuEhIT7nEf0HfPIyMgg9JVX6N+vH+5ubhavf2seeea+HD9OnZq1TPKoU7Mmhw4fNtvm0OHD1K1V0+RcvTp1TOKrVfFn6/c/8OfFi2RmZrJ7717OnP2derXv/g8HIiIiIo89K+u8eTyCHs1P9S8dPnyY6dOn8/3333Po0CFefvllunbtyp49ezh06BAlS5Zk9erV99Snq6srmzZtYv/+/SxYsIAxY8YAEBwcTGRk1ozfvn37KF++PC4uLowYMYJXXnmFQ4cOUbBgwRz7Tk1N5dKlSyZHamqq8f34hATS09NxcnIyaefs5ERcXJzZPmPjYnFycr4t3tli/J3khRwA4uOz8nC+PQ9nJ2It5REbi/Ntebg4O5vE169Xj7def50FH81j5PBh7N23jxeHDCU9Pd1CHvEW8nC+Qx6m8bfnsXDRImxsbOjdo4fZPrLlkVfuS4KF++LkRGyc+SXusXFx2cfDyYlYw808Xh49GreKFWnath3V69XnheEjmDBmDIE1qv/jXEVEREREHhT9DroZW7dupVu3bjg4OADg5OTE1q1bmThxIomJiSQmJlKgQIF76jM1NZUhQ4YQHR2NjY0Nf/31F5BVoHfp0oVx48YRFRVFcHAwkFWsd+jQAYBu3brxzTffWOw7LCyMKVOmmJx7eXwoE16ecE85yj/XumUL4789KlfGo3JlWrVrz569e01myR+kn44eZfnKlUSuWIGV1aO5aca9Cl+9mugjR5j13ru4lizJvgMHefOddyhezIW6tWrduQMRERERkYdIBfpdevbZZ/nqq6/w9vZm1qxZnDlz5p7az5gxgwoVKrB8+XKSk5OpUKECAOXLl8fa2prTp0/z2Wef8UMOu3JbEhoaSkhIiMm59KvXjP92dHDAxsYm26ZfcQYDzs6mM6E3uDi7YDDE3RYfZzH+TvJCDgCOjll53L7xWFycARdLebi4EHdbHrFxcRbjAcqWKYOjgwNnf//dbIHu6OhoIQ/L/WblYRp/ax77DxzAYDDwVOvWxvfT09N55/33WRYezrfr12fPI6/cFwcL98VgwMXZyWwbF2fn7ONhMOByfXY/JSWFD+bM5YNpU2kUFASAZ+XKHD95ksXLw1Wgi4iIiNylR3XH9LxIS9zNaNKkCRERESQmJgJgMBhITk6mRIkSXL16lZUrV95zn5cuXaJUqVJYWVmxePFik/eCg4N55ZVXKFOmjHEn+Bo1avDl9c2xbiyBt8TOzo4iRYqYHHZ2dsb3bW1t8fbyZtfu3cZzGRkZ7N6zmypVqpjts0oVf3bv2W1ybueuXVTxNx9/J3khhxt5+Hh7s2uXaR67du+mqoU8qlbxZ+du0zx27NxlMR7gwp9/kpCYSDEX87uo38xj1z3kUcVMHjuN8e3atOHT1auJWrXKeBQvVowBffvy0Zw5FvPIM/fFy4tde/aY5LFr7x6q+vubbVPV35+de/aanNuxa7cx/tq1a1y7dg1ra9P/mbOxsSYjM+Mf5yoiIiIi8qCoQDfDz8+P4cOHU79+fapVq8bbb7/Nq6++SmBgIA0bNrRYuORk0KBBfPTRR1SrVi3bs7rBwcGsXLnSuLwdYPr06bz22mtUrVoVg8FAkTvsCH4nvXv1Yu1na/li3Zec/vU0b4W9xZUrV+jQrj0Ar0yayMxZHxrje3TvyY8/7mDp8mX8euZX5n00j6NHj9K9azdjTGJiIidOnODU9U3uzvx2hhMnThAbG5tncwDo27sXUWvX8vkXX3Lq9Glefysrj44dsvIIfWUi02fezKN3j55s/3EHi5cu4/SvvzJ73jx+OnqUnt2z8vj77795d/p0DkVHcy4mhp27djFs5EjKlS1L/Xp1c8ij9/U8vrgtjw7X83iF6TNn3pJHD7b/+COLly69LY/uADg4OFDZ3d3kyJcvHy4uLlS8vmIjT9+Xnj2I+vxzPl/3Fad+/ZXXp07lypUUOrZtmzUek19l+uzZN/Pu3o3tO3awODyc02fOMPvj+fx07Bg9u2b9d1S4cGECa9TgvZkfsnvfPv44F8Nn69bxxfqvadqoscU8RERERERyi1VmZmZmbich2f39998UKFAAKysr3nnnHf7880/efffdu29/OTnbuVURq1iybClxcXF4engydswY/P2yZhufe34gpUqV4rVXbz7LvnHTRmbPmUPM+RjKlS3H8GHDaXB9qTDAF19+weQpr2a7zgsDn+fFF140m1du5WBrY/r+ilWrWLRkKbFxcXh5ehI6dgxVrs+89n9uIKVLleLN127msWHjRj6cPYdzMTGUL1eOkOHDadggK4+UlBSGhYRw/PgJLl2+TPFixahXtw5DBg0ys1zddHlQVh5Lbslj7C15PHc9j9duy2P2bXk0MDvWAM1bt6ZPr1706dXLeC4tPft/8rlxX2wzsv8SworVkSxavjxrPDw8CB0VQhU/v6zxePElSru68ubkSTfHY9NmPpw3j3Pnz1O+bFlChg6hYf36xvdjY+OYMWc2P+7aTeKlS5QqWZIuHTvSt2cP43P6tkUdLI6fiIiIiMAvURF3DsoF7l263TnoP0YFeh713XffMWLECNLT0ylTpgxLly6lWDHzy6XNMVegP85uL9BzT+4/v2OuQM8N5gr03KACXURERCRnp9bk/MhtbnF7OvjOQf8x2iTuPjt8+DB9+vQxOVexYkXWrl17T/00btzY+FvpIiIiIiIi8uhTgX6f+fv7q7AWERERERGRe6YCXURERERERCzTz6w9NNrFXURERERERCQPUIEuIiIiIiIikgdoibuIiIiIiIhYZGWled2HRSMtIiIiIiIikgeoQBcRERERERHJA7TEXURERERERCyy0i7uD41m0EVERERERETyABXoIiIiIiIiInmAlriLiIiIiIiIZdrF/aFRgf6IsrXJG8+JXPr7am6nAEC6rU1upwBAwuWU3E6Bkg72uZ0CACnkjXsSez4ut1MAwNXVObdTEBEREZFcpj+FiIiIiIiIiOQBmkEXERERERERi6ysNa/7sGikRURERERERPIAFegiIiIiIiIieYCWuIuIiIiIiIhlVnljA+rHgWbQRURERERERPIAFegiIiIiIiIieYCWuIuIiIiIiIhF2sX94dFIi4iIiIiIiOQBKtBFRERERERE8gAtcRcRERERERGLrKy1i/vDohn0x8jKiAiat25Njdq16dGnD4ePHMkxfsPGjbTr1IkatWvTKTiY73/4wWLslDfewK96dZaFh98xj8zMTObP/4h27VvT+MmGDBs+hN9/P3vHdmvWRNL56Y40frIBzw18hqNHfzK+d+lSIu+//y7duwfT+MmGdOrcnvenv0dSUtId+72bfOd9NI8WrVpQv0F9Bg0exNmzd873bvtevGgBXYM70LpVE8aMGc4ff/x+x3aff7aGXj270KplE4YMHsjx40dN3g8JGUKzpkEmx4zp71jsb+Xq1TRv244adevRo2+/u/hubKJd56epUbcenbp24/tt20ze9wsINHt8snTpHT/b3XrQ9+WTT+bTuXM7mjdvTEjIsLu6L2vXrqFbt8489VRjXnrpOY4dO2o2LjMzk7FjQ2jcuB4//PC/+5KziIiIiPz3qUAHzpw5w+rVq42vFy9ezOjRo3Mxo/vv6w0bmPbee7z0wgtErliBp4cHLwwaRJzBYDb+wMGDjA0NpVPHjkSuXEmTxo0ZFhLCz7/8ki1205YtRB8+TPFixe4ql+Xhy4iMWs2YMeNYMH8h9vb2jAwZTmpqqsU2mzZtZOaHH/DMM8+y6JMluLu7MzJkOIb4rPz/io0lNvYvhgwZxvJlK5gwYRK7du3grbA37iqnnCxZuoRVEasIHR/K4k8WY1/AnqHDhuaY792KWBXO2rVRDB8xmlmzPsbevgDjx4dw9arlvrdu3cy8ebPo03cA8+YtpJKbO+PHhRAfH28S17pNO1ZHfm48Bj4/yGx/X3/7LdPen85Lzw8kMnx51ndjyFDL341Dhxg7YQKdOnYgckV41ndj1GiT78Z3G74xOV6fPAkrKyueatLkH4ySeQ/yvqxcuZw1ayIJCRnD3LkLKFDAnjFjRubY95Ytm5gzZyb9+z/D/PmLcHNzZ8yYkcTHZx/HqKgIrPR7oiIiIiJyGxXoZC/Q/42MjIz70s/9tnT5crp07kynDh1wc3Nj0oQJ2Nvbs/azz8zGL1+5kvr16vFMv364VarE0MGD8fH2ZsWqVSZxf168SNjUqUx96y3y5bvzExOZmZmsXr2K/v0G0LBBI9zdKzNp4qvExsbyfQ4ziasiVtK+XQfatmlHxYqVGDtmPHZ29qxb9yUAbpXceOutqQQFNaBMmTIEBgTywvMvsX37Nq5du3b3A2Um35WrVvLsM8/SuFFjKleuzGuvvsZfsX/x3f+++8f93uj7008j6dW7L/XrN6CSmzvjxr1CXGwc27dZXq2wJmoVrVu3o2XLNpSvUJERI8ZgZ2fPN9+sM4mzt7PHycnZeBQqVMhsf0uXh9OlU0c6tW+PW6VKTHo5NOu78fkXZuOXr1xF/bp1eaZvX9wqVmTooJfw8fJixS3/Dbm4uJgcW7/7H7UCAylbpsw/GKnsHvR9iYpaTZ8+/QkKaoibmzuhoZOIjY1l27bvLbaLjFxFmzbtadWqLRUqVCQkZCz29nasX296X37++SQRESsZO/blf5WniIiIyENjZZ03j0fQo/mp7mDq1Kn4+fnh7+9PeHg4EyZMYNOmTVSrVo0FCxYAcPbsWZ566inc3d157733jG2XLVtGzZo1qVq1KiEhIUBWge/v70/37t3x8fHhypUr2a556dIlmjRpQo0aNahWrRqbNm0CoFu3bmzZssUY16RJEw4cOMCff/7Jk08+iZ+fH6Ghobi4uPzjz5uWlsbRY8eoU7u28Zy1tTV1atfmUHS02TaHoqOpe0s8QL26dU3iMzIyCH3lFfr364e7m9td5RITE0NcXByBgbWM5woXLoyPjy9Hjhy2mP+JE8cJrHmzjbW1NTUDa1psA5CUlEShQoXu6g8HlpyLOUdcXBy1apnm6+frx+HDlq99N86fj8FgiKNGjZomfXt7+3D0qPkl5mlpaZw8eZIaNQKN56ytralRI9BkyT/A5s0b6dypDc8924cFC+aRkpJitr+jx49Tp9Zt341atTh0OKfvRi2Tc1nfDfPjERsXx/fbttG5Qwez7/8TD+O+BATcHOOs72jO9+XEiRMmbaytrQkIqGnSJiUlhTfeeJURI0bh7Oz8r/IUERERkUfPY7dJ3J49e1i9ejV79+7l77//pmbNmrz++ut8+umnREVFAVlL3KOjo9m7dy/Xrl3D09OToUOHcurUKT7//HN27NhBvnz56Nu3L1999RW+vr4cO3aM8PBwqlSpYva6BQoU4PPPP+eJJ57gwoULtGjRgkOHDhEcHExkZCRNmjTh4sWLxMTEUL16dQYNGkSHDh0YMWKE8Y8GlqSmpmZbemudno6dnR0A8fHxpKen4+zkZBLj7OzMr2fOmO0zNjY2W7yLszOxcXHG1wsXLcLGxobePXrkmN+tDIas9k639e3k5IQhzvyS6oSEBNLT0822+e3sbxbbLFr8Ce3bd7zr3MyJu/55nZ1MiyknJyfje//UjaXPjo6OJucdHB2NS/dvl5iYSEZGOo6OpmPh6OjE77/fHIsmTZ6iRImSODu78OvpU8yfP5c/fj/Lq1PeMs3h+tg6O9/+3XCy/N2Ii8v+3XByMvlu3OqLdesoWKgQzZo8afb9f+JB3hfD9aX9t3/fHB2djO/dLjExgYyM7N9RR0cnzt7yHZ09+wN8ff0JCmr4r3IUERERkUfTYzeDvn37dp5++mns7e1xcnKiadOmZpf+PvXUUxQuXBgHBwdKlSrFn3/+yebNm9m5cyeBgYFUq1aNnTt38sv15249PDwsFudwY1Oosfj7+9OyZUtOnDjB1atXad26NRs2bCA9PZ21a9fSuXNnAH788Ue6desGYPy/loSFhVG0aFGTY+q77/7TIborPx09yvKVK3lzypQcn6XdsOEbmjZrbDz+zXLzu5WcnMToMSFUrFiR554deE9tv/7maxo0amA87me+X3/zNW3bPGU8HuRYtG3bgZo1a1OpkhtNmzVn3PhX2Lbte2Jizj2wa1qy9vMvaNuqpfEPRv/Eg7wvGzduoGXLpsbjQd2X7dt/YP/+fQwZMvyB9C8iIiLyoFhZW+XJ41H02M2g361biwkbGxvS09PJyMhg4MCBTJ482ST2zJkzFCxYMMf+wsPDSU5O5sCBA+TLlw8XFxeuXr1K4cKFqVmzJt9//z1RUVFMmzYNyCro71ZoaKhxuf0N1unpxn87OjpiY2OTbdOvuLg4XCwss3VxcckWH3tL/P4DBzAYDDzVurXx/fT0dN55/32WhYfz7fr1AAQFNcDX19cYc/VqGpA1S3nrsn2DwUDlypXN5uLg4ICNjU222UuDwZBtxjI5OZmRISMoWLAgYW9Nvefl7Q0bNMTP1++WfK8CEGeIy5avh4fHPfdd7uObnzEtLavv+Ph4nJ1v9p0QH4+bm7vZPooWLYq1tU22jcfi4w04OlleMu3l5QPAuXN/UMPn5uMIjtfHNi7u9u+GARcXC98NZ+fs3w2Dwex3ad+BA/z622+883aYxdzuxoO8L/XrB+HtffM7euO+GAwGk/sSH2/A3d38d7RoUQesrbN/R+Pjb35H9+/fR0zMOdq2bWESM3nyBPz9q7J6ten+DiIiIiLy+HnsZtCDgoL49NNPSU1NJT4+ni1btuDi4sLly5fv2LZp06ZEREQYl9BevHiR8+fP39V1L126RIkSJciXLx/r1q0zWYYbHBzM3Llz+eOPP6hevToA9erVIzIyEsD4fy2xs7OjSJEiJsetf2CwtbXFx9ubXbt2Gc9lZGSwa/duqlqY9a9apQo7d+82Obdj505jfLs2bfh09WqiVq0yHsWLFWNA3758NGeOsU2hQoUoU6as8ahYsSLOzs7s3bfHGJOcnMTRoz/h5+dvNhdbW1s8Pb3Yt/dmm4yMDPbu22PSJjk5iREjh2Fra8u0qe/+oxnbQoUKUbZsWeNRqVIlnJ2d2bPn5rWTkpI48tMR/P3N55tT36VLlzEe5ctXxMnJmQP7997yGZI5duwoPj5+ZvuwtbXFw8OD/Qf2Gc9lZGRw4MA+fHx8zbYBOHXqZyD7knBbW1t8vLzYtefmvc7IyGDXnj1U9c/pu7HH5NyOXbuoWiX7eHz62ef4eHvjdY9F8+0e5H0pWLAQZcqUMR4VKmTdl/233ZejR3O+L56enuzfb3pf9u3ba2zTs2cfFi5cyoIFi40HwODBwxg/fsI95SwiIiIij6bHbgY9MDCQ4OBgAgICsLKyYsqUKdSqVYu0tDSqVavGkCFDLM66+vr6MmHCBJo2bUpGRgZ2dnYsXrzY4u7Yt+rVqxdt27bF39+foKAgypUrZ3yvdevW9O/fn2HDhhnPTZ48mW7dujF//nyaN29OkSJF/tXn7tu7NxMmTcLXxwc/Pz+Wr1jBlStX6Hh9467QV16hePHijLyeQ+8ePRgwcCCLly6lYYMGfL1hAz8dPcqrEycCWbPaDg4OJte4sTKgYoUKFvOwsrKia9fuLFmyiLJlylKqVCk+nv8RLi4uNGzQyBg3dNhgGjVsTJcuwQB079aDN958DS8vb3x8fIhYvYqUlBTatmkLXC/ORwwjJTWVyZOmkJycTHJysjFXbG3+0bhZWVnRo3sPFn6ykLJly1K6VGnmzptLMZdiNG7U+B/1eWvfnTsHEx6+hNJlylKypCuLFy3A2cWZ+kENjHFjRg+nflBDOnZ8GoCnu3Rn2tQ38fTwwtPLm0/XrCYl5QotW7QBICbmHFs2b6RW7ToUKVKU06dPMXfOTKpUqUYlMzPzfXv3YsLkV/H19sHPz/fmd6N9OwBCJ02ieLHijBw6BIDePbozYODzLF62nIZBQXz97fXvxgTTXcmTkpL4dtMmRo8c8a/GydLYPcj70qVLV5YtW0KZMmVxdS3FwoUf4+LiYvLseEjIUIKCGtG5cxcAgoO7Exb2Bp6eXnh7+xAVFUFKSgqtWmV9R52dnc1uDFe8eAlcXUv9q5xFREREHiSrR3TH9LzosSvQAcaNG8e4ceNMzt26k/rt9u69OZPWq1cvevXqlWOMOS4uLuzcudPsewULFiQpKcnknIODA1u2bMHGxobIyEh++838Zmh3q1WLFsTHxzNr7lxi4+Lw8vRk3uzZxmXJ5y9cwNr65n941atVY+pbb/Hh7Nl8MGsW5cuVY+b771PZ3fzS63vRu1cfUq5cYeq0MJKSkqhSpSrvv/eByYz3uXPnSEhMML5u1uwpEhISmL/gYwyGOCpX9uD992bgdH1G+MSJE/x0fRfzrt2eNrnemqi1lC9X9h/n269vP1JSUnjrrbe4nHSZalWrMfODmf/qmeobunXvRUpKCtPfn0ZSUhJ+/v68HfYe+fPf7Dsm5hyJt4zFk082JTExgcWLFxAfb8DNzZ2wt9/D8fpS6nz58rF//17WrFlNSkoKxYsXp0GDxvTq3c9sDq2aN8/6bsybl/Xd8PBg3ocfmn43bvkf5epVqzL1zTf5cO4cPpg9m/LlyjLzvXezfTe+/vZbMjMzad2i5b8eJ3Me5H3p0aM3KSkpvPvuVJKSkvD3r8K0ae9n+47eel+aNGmWtTnhovkYDFnL4adNez/bYxgiIiIiIpZYZd7Lw87y0Bw/fpwePXqQnp5O0aJFWbRoEe73UByn/f33A8zu7l36+2pupwBA/n84g36/JVzO/lNnD1tJB/vcTgGAlPQ7xzwMSXnkO+rqqp9dExERkbzpjy2bcjsFs8o0aZbbKdx3j+UM+oMUFxdH06ZNTc7Z2dmZPP99N7y8vDhw4MD9TE1EREREROTeWWuJ+8OiAv0+c3Z25uDBg7mdhoiIiIiIiPzH6E8hIiIiIiIiInmAZtBFRERERETEIisrq9xO4bGhGXQRERERERGRPEAFuoiIiIiIiEgeoCXuIiIiIiIiYpGVdnF/aDTSIiIiIiIiInmACnQRERERERGRPEBL3EVERERERMQy7eL+0GgGXURERERERCQPUIEuIiIiIiIikgdoifsjam2T5rmdAgCNv/git1MAIOnv9NxOAYBCl/7M7RQ4l1Est1MAoNQTtrmdAgBxaddyOwUA0hITcjsFAGyLOuR2CiIiIpLHaBf3h0cjLSIiIiIiIpIHqEAXERERERERyQO0xF1EREREREQs0hL3h0cjLSIiIiIiIpIHqEAXERERERERyQO0xF1EREREREQss7LK7QweG5pBFxEREREREckDVKCLiIiIiIiI5AFa4i4iIiIiIiIWaRf3h0cjLSIiIiIiIo+F2bNnU6FCBezt7alduza7d++2GDt//nwaNGiAo6Mjjo6ONGvWLMf4+0EFuoiIiIiIiDzyIiIiCAkJYfLkyezfv5+qVavSokULLl68aDb+u+++o0ePHmzdupUdO3ZQtmxZmjdvzrlz5x5YjlaZmZmZD6x3yTWr6wSZvHZ/ujOevXtg7+REwi+nOPDedAxHj1lsb1u4MP4vPk/pxg3JX6QIf1/4kwPTP+DCjp0A5CtYAL/nB1K6UUPsHB1JOHmSA9M/IP7YcZN+Gn/xRba+MzMzWbhwPl9++QVJSZfx96/CqFFjKVu2bI6f6dNPo1i5MhyDwYCbmzsjRoTg4+NrfP+dd95m7969xMb+RYECBfH39+fFFwdRvnwF0tOzf80zMzNZtGgB69Zl5eHnV4WQkDGUKZNzHmvXrmHVqqw83N3dGTYsBG9vH7P9jxs3it27d/L662E0aNAIu/jzJjFR678m/LPPMSQk4F6hAiHPPYuvR2Wz1z199izzV67i+KnTXPjrL4Y/M4Du7dqaxHR6/kUu/PVXtradW7ZkzAsDAbhUuJjZXJcu+YRvvv6SpKQkfHz9GTYshNJ3GIsvPv+UqMhVGAwGKrm5MWjwcLy8TMfi6NEjLF40n+PHj2FjbU0lN3feCnuPii6Fs/W3MiqKxcvDiTUY8HR3J3RUCP6+vtnibtiweTOzPv6YmPMXKFe2DCMHD6ZhvXrG92PjDEyfPZsdu3dz+fJlAqpXIzRkFOXL3fxcMZfT8sR4VCpexHQsIiNZtDyc2Lg4PCtX5uXRo3Iei02bmfXRR5w7f57yZcsycshgGtavb3z/77//Zvrs2Wz53/9ISLxE6VKu9OrajW5Pdzbpx7aoQ46fUURERB4/F/c+2Fnjf6p4YK17iq9duzY1a9Zk1qxZAGRkZFC2bFmGDh3K+PHj79g+PT0dR0dHZs2aRd++ff9RznfyWM2gL168mNGjR+d2Gg9d2WZNqDp8CD8tWMTGfs+S8PMvNJzxPnaODmbjrfPlo9HM6RR0LcmPL0/k62492Rs2lSt/xRpjAl8eT4laNdk15XW+7d2XP3fvodGHMyhQzOWO+axYsZw1ayIZPXosH320kAIFCjBq1AhSU1Mtttm8eROzZs2kf/9nWbBgMe7ulRk1aiTx8QZjjKenF6GhE1i+fBXvvTeDzMxMQkJGkJ6ebrbPlSuz8ggJGcPcuQsoUMCeMWNG5pjHli2bmDNnJv37P8P8+Ytwc3NnzBjTPG6IiorAKoefpNi0bTszFy3m2W5dWfzeO1SuUJ6Rr72OISHRbHxK6lVKlSjBoD69cbZw7z55ZyrrPllgPD54dRIATevXtZgHwOqIFXz+2RqGDh/FBx9+hL29PS+HjubqVctj8d13m/n4o9n06t2f2XMXUKmSOxNCR5MQH2+MOXr0CBNCxxAQUJOZH37EzFkf075DZ7Pj8s3GTbzzwUxefO5ZVi9ZjEflyrwwYiRxhuxjC3AwOppxkybTuV07IpcsoUnDhgwfO46fT50Csors4ePG8UdMDDOnTWX10iW4lizJwGHD+PvKlTw9Hl9v3Mi0GR/w0nPPErl0CZ6V3Xlh2HCLY3EgOpqxEyfSqX07IpctpUmjhgwbM9Y4FgDTZsxg246dhE2ZwhcRq+jTvTtvvfsuW7//PsexEBEREXkUXL16lX379tGsWTPjOWtra5o1a8aOHTvuqo+///6btLQ0nJycHlSaj1eB/rjy6NGd059/yZmv1nPpzBn2TX2HaykpVGzb1mx8xXZtyF+kCNvHhhIXfZi/z1/grwMHSfzlFwBs7PJTpnEjomfNIfbgIZL+OMdPCz4h6Y9zuHXulGMumZmZrF4dQd++/WnQoCHu7u5MmDCJuLhYfvjBcqEQEbGSdu3a06ZNWypWrMjo0WOxt7fjq6/WGWPat+9ItWrVcXV1xdPTk+eee4GLF//kwoXz2frLzMwkKmo1ffr0JyioIW5u7oSGTiI2NpZt2yznERm5ijZt2tOqVVsqVKhISEhWHuvXrzOJ+/nnk0RErGTs2Jct9rXyiy9p/1Qz2jZtQsWyZRn74gvY2dmxbvNms/E+ld0Z2r8fTzUIwjafrdkYx6JFcXZ0NB7b9+6jdMmSVM9h5jUzM5PP1kbSo1cf6tVrQKVKbowdN4G4uDh+3L7NYrtP16ymZau2tGjZmvLlKzBs+Cjs7OzZsOErY8xHc2fRsdPTdOvemwoVKlK2bDkaNWpC/vz5s/W3dOVKnu7Qnk5t2+JWsSKTxo2lgL0da9etyxYLsDxiNfXr1GZA795UqliBoS+8gI+nJyujogD47fffiT5yhIljx+Dn40PF8uWZOHYsqampfP3txjw9HktXrKRLxw50atcOt0qVmDR+PPb29qz98kvzY7Eqgvp16vBMnz64VazI0BdfxMfLkxWrI40xB6MP06FNa2oFBFC6VCmCO3XCs7I7h386avEziYiIiORlqampXLp0yeSwNNkWGxtLeno6JUqUMDlfokQJLly4cFfXGzduHKVKlTIp8u+3/3yBPm7cOD755BPj62eeeYb33nuPBg0aUKNGDWrVqsXBgweztfvrr7/o3LkzgYGB1K1blwMHDgDQv39/hg8fTp06dahcuTL/+9//ALh27RrDhw/H39+fKlWqsHr1agA2bNhA3bp1qV69Or179+bq1asWc23bti0BAQH4+fkRHh5uMf+1a9eSnJxMp06d8PHxYcCAAZQvX56kpKR7Hh/rfPlw9PTgzz17b57MzOTinr04+5sv2ko1CCLuyBFqjBlF+/Vf0CJ8Kd79+hh3b7SyscE6Xz7Sb/us6ampuFStkmM+58/HYDDEERhY03iucOHCeHv78NNPR8y2SUtL4+TJEwQE3GxjbW1NYGBNi22uXLnC+vXrcHUtRfHiJbK9fyOPgIBAkzx8fHw4etRyHidOnDBpY21tTUBATZM2KSkpvPHGq4wYMQpnZ2fLfZ06Rc1bxsva2pqaVapw5MRJs23uVVpaGhv+9z1tmzbJcSb/woXzGAwGalS/+bkKFSqMl5c3x3IYi59PnqRGDdOxqF4jgKNHfwIgIT6e48eP4uDgyIjhL9EtuAOjQ4Zy5Ei02f6OnjhBnZqm97hOzZocOmw+h0NHjpjEA9SrU9sYf+O/Rbtbil9ra2tsbW3Zf+hQnh2PtLQ0jh4/Tp2atUz6yhqLw+bH4vBh6ta6fSzqmMRXq+LP1u9/4M+LF8nMzGT33r2cOfs79WrXtjgWIiIiIpC1i3tePMLCwihatKjJERYW9kDG4O2332bVqlWsXbsWe3v7B3INeAQK9ODgYCIjs2aJrl27xubNm3nppZfYtGkT+/fvZ8GCBYwZMyZbuxEjRhAaGsrevXtZunQpL774ovE9g8HAzp07+eijj3jttdcA+PjjjzEYDBw6dIjo6GieeuopYmNjeeedd9iyZQsHDhygUqVKzJ8/32KuS5cuZd++fezatYs333yT1NRUs/m3atWK2bNnU758eY4ePUqvXr04e/asxX7N/eUoLSMDgPwORbHOl4/U25bGpsQbsLdQPBYqVYoyTzbGytqaH0aO4eiixXj07I73gH5Zef59hdjow/g80x97F2esrK0p17I5zn6+Fvu8IS4uDgBHR9NlIU5OThgMcWbbJCYmkJ6enm0piaOjk7G/G9auXUPz5k1o3rwJu3btYPr0D7C1zT7bbLg+Hub6NFhYRpyYmEBGhvk8bm0ze/YH+Pr6ExTU0Gw/AAmXL5OekYHTbc/7OjkUJS4hwWK7e/G/3btJSk6mTZMnc4y7Me4Ojo4m5x0cnTCYWboPcCkxkYyM9GxtHB2djMv9z5+PAWDZ0kW0atWON8Pewb2yB+PHjuTcH7+btItPyLrHzreNrbOZe3xDbFyc2fjY6/EVK1TAtWRJZsydS+KlS6SlpbFw6TL+vHjRGJMXx8PiWDg5ERtn/vrmxsLFyYnYW/6benn0aNwqVqRp23ZUr1efF4aPYMKYMQTWqG5xLERERETystDQUBITE02O0NBQs7EuLi7Y2Njw559/mpz/888/KVmyZI7Xeffdd3n77bf59ttvqVIl5wnJf+s//zvogYGBnD59mvj4eHbv3k39+vVJTU1lyJAhREdHY2Njw19mNs3atGkTP/30k/F1/C3PiXbs2BGAgIAAzpw5Y4wPCQnB+vossqOjI+vWrSM6Opq6dbOe701NTaVNmzYWc50+fTpfXN807ezZs5w9e9Zs/vb29vz444+MGzcOgGbNmuX4nENYWBhTpkwxOdeldFmCy5Sz2CYnVtbWpMQnsO/taWRmZBB/4gQFihXDs1cPji5cBMCuKa9Tc0Io7dd9Tsa1a8SfOMnvGzfh6OVp0te3327g3XenGl9PnfruP8rpbj31VAsCA2sRFxfLqlUrmDTpFebM+YitW7fy3nvTjHFvv/1g8ti+/Qf279/H/PmLH0j/92Ldps3UqVGdYrd9d7Zs/pYPZrxnfP36G1Nvb3pfZGRm/ZGodZv2tGjZGgB3dw8OHtjHhg3rqek95IFc9wbbfPmY/nYYk998i6DmLbCxsaFOzUCC6tbl1r0x88p41PId9kCue0P46tVEHznCrPfexbVkSfYdOMib77xD8WIu1K11bxusiIiIiOQFdnZ22NnZ3VVs/vz5CQgIYPPmzcZ6LyMjg82bNzNkiOX/v3TatGm8+eabbNiwgcDAQItx98t/vkCHrIL6s88+48cffyQ4OJgZM2ZQoUIFli9fTnJyMhUqVDDbbu/eveTLl30IbtxkGxsbixuMQdYNbdOmDYsWLbpjjlu3bmX79u3s2rULe3t7AgMDjc9H3J4/wL1srh8aGkpISIjJuS+btQTgakIiGdeuYXdbkWbv6ESKhVnEK7GxZKank3l9Fh7g0pnfKODignW+fGRcu0byuRi+GzQUG3t7bAsVIiUujjpvTCHpXIxJX0FBQfj43NzFOi0ta8fs+HgDLi43N5QzGAxUruxhNp+iRR2wsbHJNrMdH2/ItoS8cOHCFC5cmLJly+Lr60fr1s354Yf/Ub9+EN7eN5f0p6VdNV7X2dnFpE93d/O7qBct6oC1tfk8bvwBZf/+fcTEnKNt2xYmMZMnT8DfvyrzXn0FAIcnnsDG2hpDYoJJnCEhEWcHB7PXvxfnL15kT/RhwsZmXz1Sp24Qnl7Z70lCfLzJWCTEZ+2Wb06RokWxtrYx2QANssbixuoIZ6ese1O+fAWTmLLlynPxoulfLh0dsu7x7ZugxZm5xze4ODubjXe5Jd7Xy4uoZUu5nJSUtaGHoyM9n3kWH28vY0xeGw+LY2Ew4OJs/g915sYi1mDA5fo1U1JS+GDOXD6YNpVGQVm/8OBZuTLHT55k8fJwFegiIiKSM+v//MJrAEJCQujXrx+BgYHUqlWLGTNmkJyczIABAwDo27cvpUuXNi6Tnzp1KpMmTWLFihVUqFDB+Kz6jZrjQXgkRjo4OJiVK1eyadMmWrVqxaVLlyhVqhRWVlYsXrzYbJsnn3ySuXPnGl8fyuGZVMiaxf7444/JuF60xsfHU7duXbZu3cpvv/0GwKVLl/j111/Ntr906RLOzs7Y29tz8OBBk+vdnj9AvXr1jEvft2zZYnHZNWT9QaFIkSImh+31/4huzG6XqBlws4GVFcVrBhB3+Cez/cVFH6ZwmdJwy3PLT5Qty5W/Ysm4ds0kNj0lhZS4OGyfeIKStWsR873pJloFCxaiTJmyxqNChYo4OTmzb9/NZ+KTk5M5duwovr5+ZvOxtbXFw8PTpE1GRgb79u212Aay/siRmZnJ1atp1/MoYzxu5LF/v2keR48excfHch6enp7s378vWx432vTs2YeFC5eyYMFi4wEwePAwxo+fYNqXmxt7ow+b9LX3cDR+nub/UHEvvtqyFceiRagXGJDtvYIFC1K6dBnjUb58BZycnDhw4ObnSk5O5vjxY3jnMBaVPTxM2mRkZHDwwH7jT9+VKOmKs7MLf/xh+njGuT/+oHjxktn68/H0ZNce03u8c89eqvqbz6Gqn59JPMCO3bvNxj9RuDBOjo78dvZ3fjp+nCYNbz5+kNfGw9bWFh8vL3bt2WPS1669e6jq729+LPz92Xn7WOzabYy/du0a165dM64AusHGxto4sy8iIiLyqOvWrRvvvvsukyZNolq1ahw8eJBvvvnGuHHc2bNnOX/+5gbTc+fO5erVq3Tp0gVXV1fj8e67D25V8CMxgx4YGMgvv/xC3bp1sbe3Z9CgQTz99NPMnz+fTp3M7yr+4Ycf8uKLL7JgwQKuXr1K+/btqVq1qsVrPP/88xw/fhx/f3/y5cvHK6+8QnBwMPPnz+fpp5/m6tWrWFtbM2PGDCpWrJitfcuWLZk7dy4+Pj74+voSEHCzcLo9f4DBgwfTq1cvfH19qV27NqVLl6ZAgQL/aHxOrlxFrYkTMBw7juHoMTy6dSWffQF+/Sprd+lak17hyl9/cXjuRwD88ulnuAc/TfWQ4fy8eg1PlC2Dd/8+/Lw6ythnidq1sLKy4vJvZylctjRVhgzm8m9n+XXdV2ZzuMHKyoquXbuxZMliypQpi6urKwsWzMfZ2YUGDW4WTcOHD6Fhw0Y8/XTWioJu3Xrw1luv4+Xlhbe3L5GRq7hyJYXWrbN2oo+JOcfmzZuoVas2Dg4OXLx4kfDwZdjZ2RkfQbg9jy5durJs2ZLreZRi4cKPcXFxMXl2PCRkKEFBjejcuQsAwcHdCQt7A09PL7y9fYiKiiAlJYVWrbLycHZ2NjvjW7x4CVxdS8Etv4Peo307Xp/5IV5ubvhWrsyqdetISUmlbdMmAEz5YCbFnJwY1Kc3kDWz++sffwBZBddfcXGc/PVXCtjbU9bV1dhvRkYGX23ZQuvGjclnY5Pj/bgxFh07BbNyxVJKly5DSVdXlixeiLOzM/XqBxnjxo0ZQb36DejQ8WkAOj/dlXenheHh4Ymnpzdr10aSknKF5i1a3xzjrt1ZtmQRlSq5U8nNnU0bv+H333/jlUmvZcujb48eTHj9dXy9vfD38WVZxCqupKTQsU3W2L48ZQrFixVjxKBBAPTu1pUBLw1iSfgKGtSvxzcbN/HTseNMvuU3LDds3oyTgyMlS5bg51OnmPr+dJo0bJjjxmh5YTz69uzBhCmv4evtjZ+vD8tXZX3fO17/5YXQya9SvHgxRg4enDUW3bsx4IUXWRweTsP69fn62438dOwYr76c9QxW4cKFCaxRg/dmfoidnR2lSrqy98B+vlj/NWOGD7/jd0RERETkUTFkyBCLS9q/++47k9c3Hnd+mB6JAh3g9OnTxn9XrlyZ6OibOyNPnjwZyNqh/YZixYqxZs2abP3cOuNeuHBh403Jly8fM2fOzBb/1FNP8dRTT90xPzs7O7755pu7yh/A3t6e1atXY2dnx+7duzl8+DA2d1FsmfP7pi3YOTjgN/A57J2dSPj5F74fOYpUQ9Zy3IIlS5B5yyzalYsX+X54CNVGDKPF8sVc+SuWnyMiOb4s3BhjW7gwVV56gQLFi3H10iX+2Po/jsz7mMwcHgm44f/s3XdYVMcawOEfIIKKUi2oFOlFihV77w019m5ssYFiRdRUNfbYe+wIYm8JljRNsXdsscSCJewuKAiIwv0DXFjYRU1UuOZ773Oe656dmfPtzDkbZmfOnG7depCYmMjMmV8THx+Pl5c3s2bN1bh/JDr6HnFxmc8Db9iwEbGxKlatWolSqcDJyZlZs+aqp5YXLFiQc+fOEhERzpMnT7CwsMDHx5clS5Zjbm7Bixc5bxno2rUHSUlJzJo1XR3HjBlzNOK4d+8ecVmmoTdo0IjY2FhWr16BUpk+HX7GjDn/6FmIjWrVRPU4jpVhYShUsTiXK8fcyROxyJji/vDvGPSzzGKIUanoHTRa/Tp05y5Cd+6igqcni7/K7OAdP3eOB3/H0Kphw9eOpVPnbunToL+ZRXx8PJ7lvZgybRYFC2bWxf370Tx+nNkm9eo1JC42lnVrv0WlUuLg6MSUqbM0FgBs374TKc+esXTpAp48eYKDgyPTps+hdOkyOWJo1rgRylgVi1asJEahwM3ZmaVz56qndd9/8BA9vcwRYF9vb77+4nMWLlvOvKVLsbOxYd6M6Tg7OmbWWYyCmfPmo1AqKW5lRevmzfjk44/zfX00b9wYlSqWhcuXp9eFiwtL532jnr5//+FDjdHwCt7eTP/ySxYsXcq8xUuws7Fh/swZGnUx66uv+GbxIsZP/pS4x48pXaoUAZ98QueP2r+yPoQQQgjx35bbE4HE26WX9iY3O4v3JjY2loYNG/L8+XMMDQ1ZsmQJVbI9Uio3m6vVenWi96BexqJ4eU1bBz0vGKlyPpP9fXtsUjyvQwCgdFHtz3J/36KfpOR1CACUMX29BU7eNcNsTxYQQgghhIg5ezqvQ9DKyufDexrNBzOCnp/4+fmpF4B76dChQzoXu9LGzMyMkydPvjqhEEIIIYQQQogPgnTQ34GjR4/mdQhCCCGEEEII8VbofSCruP8/kJoWQgghhBBCCCHyAemgCyGEEEIIIYQQ+YBMcRdCCCGEEEIIoZuejOu+L1LTQgghhBBCCCFEPiAddCGEEEIIIYQQIh+QKe5CCCGEEEIIIXTS09fL6xD+M2QEXQghhBBCCCGEyAekgy6EEEIIIYQQQuQDMsVdCCGEEEIIIYROevoyrvu+SE0LIYQQQgghhBD5gF5aWlpaXgch3r6khIS8DgEAA/LH6XVPkT/qo5SlSV6HQFr8k7wOAYCHyfljsZHYJ0l5HQIApYsXzesQAChomPcTq8zMi+V1CEIIIYTIQnU5Kq9D0MrczSOvQ3jr8v4vMSGEEEIIIYQQ+ZaeXv4YWPkvkCnuQgghhBBCCCFEPiAddCGEEEIIIYQQIh+QKe5CCCGEEEIIIXSTVdzfG6lpIYQQQgghhBAiH5AOuhBCCCGEEEIIkQ/IFHchhBBCCCGEEDrp6cm47vsiNS2EEEIIIYQQQuQD0kEXQgghhBBCCCHyAZniLoQQQgghhBBCJz19vbwO4T9DRtCFEEIIIYQQQoh8QEbQ/0PCwsNZu24dMQoFLi4ujB87Fq/y5XWm33/gAIuWLCE6OhpbW1tGBARQu1YtAFJSUli4eDFHfv2Vu3fvUtTEBD8/PwIDAihRvLjOMjeFb2Z1RgyuLs5MeEUMkQcOsHDJEu5F38fO1oaRAQHUyYjhpes3bjJ3/nxOnDrJi+cvcHBw4JuZM7C2ttZZblpaGuvWfsv33+0mPj4eD08vAgKCKFPWRmcegF07t7ElIgylUomDoyNDhgbi5uahkSYq6gJrVq/g8uVLGOjr4+DoxNRpszEyMspRXn5oE4CwbdtZGxaGQqnExdGRcYGBeHm4a037582bLFn1LVFXr3L/wQNGDxtGj04dNdKcPHOWtWGbuHTlKn8rFMyZ8hUNatfONQbIm3bRFUdE2DoOHfiOhKfxuLp50n9gANaly+iMIeriOXbvjODm9WuoVEpGj/uUKn41NdIc/eMIByP3cOP6NeLjnzB99hLsyznmWh+rVq1g9+5dxMc/wcvLm1GjxmJjk3t9bNu2hU2bNqJUKnF0dGLEiCA8PDzV78+c+TUnTpwgJuZvChUqjJeXF598MgQ7O3utMSxfsYydO3cQHx+Pt5c3Y8eOx9bWNtcYIrZsZuOGDSiUCpydnBk1agyenpkxbN+xjf2RkVy+coWnTxM4eOAHihYtmmuZQgghhBAfug92BL1Pnz7s2bMnr8PIN76PjGTWnDkMGjiQsNBQXJ2dGTx0KAqlUmv6M2fPMn7CBNr5+xMeGkr9evUYERTEtT//BCApKYnLly8zsH9/wkNDmTNrFrf++ovAESN0xvBd5H5mzJnD4IEDiQjdiKuzC4OGDtMZw+mzZxk7IYR2/m2JCA2lQb16BASNUscAcPvOHXr160c5e3tWL1/O1vAwPhnQn4JaOsNZbQ4PZeeOrQwPHMW8BcswNjZmQvBonj1L1pnnp58OsXzZIrr36MOiJStxcHAiJHg0sSqVOk1U1AVCgsdQqVIV5i9YxvyFy2nj3x49vZzTgvJDmwBEHvqB2YsWMahPbzatXIGLkyNDRo9GmeVzZZWUlESZ0qUJHDQQKwsLrWkSkxJxcXQieGTux84uP7QLwK7tm/lu7w76fxLAlK/nY2xkzNQvg3n27JnOOJKTk7Czd+DjAcN0p0lKwtW9PN169n+N2oDQ0A1s3RrB6NFjWbZsFYUKFWLUqBEkJ+uuj0OHDrJw4Xz69OnHypVrcHJyZtSokahUmeeVq6sbwcEhbNgQxuzZ35CWlkZQ0AhevHiRo7z169exeXM448YFs2rlaowLFSJwxPBcYzhwYD/z5n1Dv/79Wbt2PU7OzgSOGI4yy7mdlJREterV6dOnz2vVhRBCCCHyjp6+fr7cPkQf5qcSOazfuJH27drR1t8fRwcHJoaEYGxszI6dO7Wm3xgaSo3q1enTuzcODg4MGzIEdzc3wsLDAShatCjLliyhaZMm2Nvb4+3tTfC4cURdusT9+/e1lrlu4wY6tGtHO/82ODo4MDlkAsbGxmzXEcOG0E3UrF6dj3v3wtGhHMOHDMHDzY3Q8M3qNPMXLaZ2zZqMGhGIu5sbtjY21K9bF0sdHUdIHxHcsT2Crt17UqNGbRwcHBk7LgSFQsFvvx7RmW/b1s00a96Kps1aYGdnT0DgKIyMjImM3KtOs2zJQtq2+4jOXXpgb18OGxtb6tZtQMGCBXOUlx/aBGD95s20b9WKti1a4Ghvz8RRo9Lj2LtPa/ry7u4EDRlMs4YNMdTyuQBqVavGsAH9aVCnjs7jZpdf2iUtLY19e7bTvkM3qlStgZ29A0MDxqJSKjh+7FedcVSoWJUu3fpStVotnWnq1GtEh0498PKp8Fr1sXlzOL169aF27To4OTkREjIZhSKGw4d/0ZkvPHwTrVu3oWXLVpQrV47Ro8dibGzE3r2ZP1i2adMWX98KWFtb4+rqSv/+g3j06CEPHmieJ2lpaYSFb6Jv34+pW6cuzs7OfPbp58TExPDzLz/rjGHTplD8/dvSulUbHMo5MH5cMMbGxuzes0udpmuXbvTu1Yfynl6vrAshhBBCiP+K/5sO+q1bt6hcubL69ejRo1mzZg329vZ89tln+Pr6UqVKlRwdkbS0NIYNG8aECRMAsLKyYvTo0Xh5edGwYUMSEhIAOHXqFFWrVsXLy4tevXqRlJTEb7/9Rvfu3QFYvnw5jo7pU1HPnTtHmzZtAF55/KyWLl1KlSpV8PHxoVu3bqSkpHDp0iXqZOnE/PLLL/j7+6vTu7i4ULNmTbp06cLChQv/Ud29PE41Pz/1Pn19far5+XHu3Dmtec6dP6+RHqBG9eo60wPEx8ejp6endZpqSkoKUZcuU82varYYqnL23Hmt5Z09f47qWmI4mxFDamoqvxw5gr2dLQOHDKVOw0Z07dWLQz/+qDNGgAcP7qNUKqlYIfN8KlLEBDc3dy5FXdCaJyUlhWtXr1KxYmYefX19KlSsRFTURQBiVSouX47CzMycEYGD6dzRn9FBw7lwIWed5Yc2Ucdx9Sp+lStpxOFXqRLnLl7UWe67kB/aBeDRwwfExirx8qmo3le4SBGcnN24duXS2/ior+X+/WiUSgWVK1dR7zMxMcHd3YOLF3XXx9WrV6hUKTOPvr4+lStX0ZknMTGRffv2YG1dmhIlSmq8Fx19D4VCQdUqmdetiYkJnp6enD+vvf5SUlK4fOWyRh59fX2qVKnK+fPar3UhhBBCCJHu/6aDnpuyZcty5swZmjdvzsqVK9X709LSGDJkCKampkydOhUAhUJBs2bNOH/+PGXKlGHbtm0A9O7dmwULFnD+/HmKFCnC4sWLqVy5MidPngTgyJEjmJmZcf/+fY4cOUKtLPdB6zp+dp06deL48eOcPXuWUqVKsXnzZtzd3YmNjVV37CMiIujUqRP37t1j1qxZHD9+nP3793P69Gmd5SYnJ/P48WONLev0U1VsLC9evMgxqmxpYUGMQqG1zJiYGCwtLTXTW1rqTJ+cnMw38+bRvFkzTExMcryfGUO2Mi0siVHE6IhBgaWlZsxWlpkxK5VKnj59yqrVa6hVowbLFy+iYf36jBg9huMZ7aaNUpme38zcXGO/mbkFSpX26eWP4+JITX2RI4+5uYV66vD9+9EArF+3mubNWzNl2kycnF0YP3Yk9+7e0VEfedcmAKq4uPQ4sn0uSwtzYnRMtX9X8kO7AMTGpuczNTXT2G9qZq4xbf5dU2S0q7m55jliYWGhrqvs4uLSzyuLbOeVubmFuryXtm/fSpMmDWjSpAFHj/7O3LnzMDQ01BqDRbbr1sLCEqWO8y42VnsMFuYWOvMIIYQQIp/T08+f2wfog/hU7dq1A6BSpUrcunVLvT8kJIQiRYowZcoU9T4TExMaNWqkkT42Npbk5GT8MkYne/bsyeHDhylYsCAlS5bk7t273Lhxg169enHkyBGOHDlCzZo1X3n87M6ePUutWrXw8vJiy5YtREVFAfDRRx+xdevW9Km1+/bRunVrjh8/TsOGDTE1NaVIkSK0atVKZ7nTpk3D1NRUY5s5a9abVeK/kJKSwphx40gDQoKD39txU9PSAKhfry69enTHzdWV/n37Urd2bTZv2apOt2ffPvxbN1VvL57nvM/27cSTCkCLlm1o2qwFTk4ufDJ4OGXL2hAZqX26+LuSV23yJn44tD9ftMvhnw/Rq1sb9abtPuz3Yf/+SHWHuUmTBjx//vydHq9x46asWrWWBQsWY2Njy+TJE9m3bw/16tdRb+86BiGEEEIIoen/ZhX3AgUKkJqaqn6ddYT45erYBgYGGn9c+/n58dtvvxEfH68eQcy6knb29NrUrFmTzZs3Y21tTa1atVi/fj0nTpzQmG6v6/jZ9evXj7179+Lu7s7ChQvVnflOnTrxySefUKFCBcqXL0+xYsVIy+h8vo7g4GCCgoI09qVl+cPa3MwMAwODHIuPKZRKrLKNyL5kZWWVY8RNoVDkSJ+SksKY8eO5f/8+K5Yt0zlSmxlDtjKVCqwsrXTEYIlCoRlzjCIzZnMzMwoUMMDRwUEjjUO5cpw6c0b9un7dupQom7lSdkpKCpA+9dkyy7FjVekrXmtTzNQUfX2DHCOoKpVSPcL5cnZA9pWwbWztePTooca+/NAmAOampulxZPtcCqVK5wJwb0u16rVwzbLSel61S/PWHXF2ccsRR1xcLOZZRo7jYlW5rrj+b9WqVQsPj5z1oVIpsbLKrA+lUomzs4vWMkxN088rZbbzSqVS5ph9YWJigomJCTY2Nnh6lqdFiyakpaWxft3GLDE8yzimIlsMCp0xmJlpj0GpUmKh49wWQgghhBDp/m9G0EuUKEF0dDRPnjwhPj6eAwcOvDKPv78/AwcOpF27drmuOGxmZoaRkRHHjx8HYOPGjer7wmvVqsXcuXOpWbMmvr6+7N+/nxIlSmh9ZNarJCQkULJkSZ49e8amTZvU+93d3VGpVCxYsIBOnToBUKVKFX744QceP37M06dP2bt3r65iMTIyolixYhpb1vgMDQ1xd3fn6LFj6n2pqakcPXYMb29vrWV6e3lppAf44+hRjfQvO4K3b99m2dKlmJmZ6YzR0NAQD3c3jh47ni2G4/h4a18kysfLmz+yxfD70aP4ZMRgaGiIp4cnN2/9pZHm1u2/KG1dSv26SJEilClTVr3Z2dljYWHB6dOZ0+ATEhK4fPkS7h7aH3FmaGiIs4uLRp7U1FTOnD6lfnxVyVLWWFpacffubY289+7epUSJUjnKy+s2Ucfh4sKxk5qf69ipU3hneSTWu1C4cOF80S6FChWmlHUZ9VbWxg4zMwvOn8u8reTp0wT+vHYZZ1ftj557GwoXLkLZsjbqzd6+HBYWlpw8eUKdJiEhgUuXovD01F0fLi6uGnlSU1M5efKEzjyQfjtQWloaenr62NjYqLdy5RywtLRUfzcCxCfEc/HiRby8tJ+nhoaGuLm6aeRJTU3l+PHjeHnJgnBCCCHE/yM9fb18uX2I/m9G0AsWLMjYsWOpUKECtra2r/2HXp8+fVAqlXTr1o3NmzfrTLdmzRoGDx5MUlISvr6+DB48GIAaNWoQHR1NzZo1MTAwoGzZslSo8OoVmLX57LPPqFy5MiVKlMhRxkcffcS0adNYvnw5kH5f+4gRI6hcuTLFixfH3d2dYsWK/aPjAvTs3p1Jn36Kp4cH5T092RAaSmJiIm0zFrsLmTSJEiVKEDh8OADdu3Wj34ABrF2/njq1avF9ZCQXo6KYNHEikN4RHD12LJcuX2bBvHmkvnhBTEz6veSmpqY57mUF6NW9ByGffoqnhzvlPcvniCF40mRKlCjOyIwYenTrSt8BA1iTEcN3kfu5GBXFZxND1GX27dWT0eODqVyxAlUrV+HIb7/x8y+HWb18mc660NPTo227jmwKXUeZMmUpZW3N2jWrsLS0pEbNzLUFxo0ZQY2atfFv+xEA7T/qxKwZ03BxccXV1Z3t2yNISkqkSdMW6nI7dOrC+rWrcXBwwsHRiYMHvufOnb+YOPmLfNkmAD07dWLStGl4uLpR3t2NjRFbSExMxL9FcwAmTplCCaviBAwaqD7O9YzZH89TUngUE8Pla9coXKgQtmXLAvD06VNu37unPsa9+/e5fO0apsWKYV1ScyGy/NYuenp6tGjVju1bQrG2LkOJkqUI37QGcwtLqlTNvLXly0/HUsWvJs1apC/qmJSYyIMH0er3Hz16wK2b1zExKYpV8RIAxD95TEzM36gyZpJE30u/B97MzJzSxTUX8tPT06NTp86sXbuGsmVtsLa2ZuXKFVhaWlG7dubCkoGBw6hTpy4ffZT+LPrOnbsydeqXuLm54e7uSUREGImJSbRokX6bTHT0PQ4dOkjVqn6YmZnx6NEjNm5cj5GREdWrV88RQ5fOXVm95ltsbGwoXboMy5YvxcrKirp16qrTDR02mHp169OxY/oPjF27duOLLz/H3d0dDw9PwsI3kZSUSKuWrdV5FIoYFAoFdzPWAfjz+p8UKVyYkiVLYWb+z7/rhBBCCCH+n+mlvclcavFevZyan5iYSJ06dfj2229f+4eJpIzV6bPaFBbG2nXriFEocHV1ZdyYMXhnlNdvwABKly7Nl59/rk6//8ABFi5eTHR0NLa2towMDKR2xuJ496KjaaHjvviVy5dTJeMWAAM0T6/QsHBWZ8Tg5upCcJYY+gwYSJnS1kzJEkPkgQMsWLyEe9HR2NnaEhQYQJ1amo+x2rZjJytXr+bho0fY29kx9JNBNKhXTyPNPYVmfaSlpbFu7bd8t2838fHxeJb3YnhAEGXL2qjT9OrRicZNmtGz18fqfTt3bGVLRBgqlRIHRyeGDAnEzd1Do+zwsA3s2rWdJ0+e4ODgSP8BgylfPn20sZSl5nTzvGiTtPgnOd4P27qNtWFhxCiVuDo5MS4wAK+M6db9AgIpXaoUX05Iv5f93v37tOzcJUcZlXx9WTV/HgDHT59mQOCIHGlaN2umLudhcs5fPfOiXWKfJGmNIyJsHQcP7ONpQjyu7uXpN3A4pUuXVacZNqgndes3pmOXXgBcvHCWLyaPyVFW3fqNGTI8ff9PP+xnycKc60N06NSDwOFDtcaxatUKdu/eSXx8PF5e3gQFjcHW1ladpmPHdjRv3pKPP858tvrWrRFs2hSKUqnAycmZwMAgPDNmRMTE/M306dO4cuUyT548wcLCAh8fX/r0+RhbWzsKGhbIEcPyFcvYsWM78fHx+Hj7MHbsOGxt7dRp2rZNf6zbgAED1fsiIjazYeN6FAoFLs4uBAWNpnz5zFH8FSuWs3LVihyfedLEyfTo2T3HfiGEEELknfg7f706UR4wsbF7daL/M9JBz8dGjhzJjz/+SFJSEr169VI/Ku51aOug54XsHfS8kr2Dnleyd9DzgrYOel7Q1kHPC9o66Hkh+wh6XsneQc8LMoIuhBBC5C8JWp58kx8UyTKI86HI+7/EPkBTpkwhIiJCY19gYCB9+/Z9o3Lmzp37NsMSQgghhBBCCJGPyQj6B0pG0DXJCHomGUHXJCPommQEXQghhBDZyQj6+5P3f4kJIYQQQgghhMi39PT/bx7+9X9PaloIIYQQQgghhMgHpIMuhBBCCCGEEELkAzLFXQghhBBCCCGEbvr5Y+2g/wIZQRdCCCGEEEIIIfIB6aALIYQQQgghhBD5gExxF0IIIYQQQgihk56ejOu+L1LTQgghhBBCCCFEPiAddCGEEEIIIYQQIh+QKe5CCCGEEEIIIXTSk1Xc3xvpoH+g/lY9zesQAChuXjivQwCgaGGjvA4BAIN88N2m0iuY1yEAUMbKOK9DAKBo3IO8DgGAFxTN6xAAUMQm5HUIFEx8ktchAFC4dJm8DkEIIYQQ/zEyxV0IIYQQQgghhMgHZARdCCGEEEIIIYRusor7eyM1LYQQQgghhBBC5APSQRdCCCGEEEIIIfIBmeIuhBBCCCGEEEInWcX9/ZERdCGEEEIIIYQQIh+QDroQQgghhBBCCJEPyBR3IYQQQgghhBA66ckq7u+N1LQQQgghhBBCCJEPSAddCCGEEEIIIYTIB2SKuxBCCCGEEEII3fRkFff3RTro/yFpaWmsXbOKfft2Ex//BM/yXgQGjqZsWZtc8+3csZXNmzehVCpxdHRk2PCRuLl5qN8PChrGubNnNPK0auXPiJFjcpQVFh7O2nXriFEocHFxYfzYsXiVL6/z2PsPHGDRkiVER0dja2vLiIAAateqBUBKSgoLFy/myK+/cvfuXYqamODn50dgQAAlihd/rfpYuXI5u3bv5MmTeLy9vRkzeiw2Nra55tu6NYKNoRtRKhU4OTkTNHIUHh6eADx+HMfKlSs4duwoDx4+xNzcjNq16zJwwCBMTExylLUpPJzVa9Prw9XFhQnjcq+PyAMHWLh4Cfeio7GztWVkQAB1atdSvx8y+VN27t6tkadmjeosW7TolXWxatUKdu/eRXz8E7y8vBk1aiw2NrmfG9u2bWHTpo0Z54YTI0YEqesCYObMrzlx4gQxMX9TqFBhvLy8+OSTIdjZ2WstL70+1mapj3GvUR+Ls9VHba1pP//qKyK2bmXc6NH07N5dZ5lbv/uejbt2o4yNxcnOjqB+H+Ph7KQ17Y07d1gZFs7lGzd58PffBPbpTedWLTXSvHiRyqrNm4k8fBhFbCxW5ha0rFeXPh0+Qu8V/7HLD+2SlpbGhvWr+f67PSQkxOPhUZ6hw4MoU6ZsrjHs3rWdrVvCUKmUlHNwYvCQAFxd3QF4+OA+fft01ZoveMJndGpcJ8f+8O07WBsejkKpxMXRkXEBwynv7q61jOs3b7J49RouXb3K/YcPGT10CN07dNBIs2pjKD8cPsyt27cxMjLCx9OTwIEDsLfN/foXQgghhHiXZIr7f0h42Ea2b99C4IjRLFy4HGPjQowfH8SzZ8k68/z44yGWLl1Iz159Wbp0FQ6OTowfF4RKpdJI16JlazZH7FRvAwYOyVHW95GRzJozh0EDBxIWGoqrszODhw5FoVRqPfaZs2cZP2EC7fz9CQ8NpX69eowICuLan38CkJSUxOXLlxnYvz/hoaHMmTWLW3/9ReCIEa9VHxs2ridiy2bGjBnHyhWrMDY2ZmRQIMnJuuvj4MEDzF8wj48/7sfqb9fi5OTEyKBAlKr0z/B3TAwxMX8zbFgAG9aHEhIymaNHf2fqtK9ylPVdZCQzZs9h8KCBRISG4urizKAhuuvj9JmzjA2eQLu2/kRsCqVBvXoEZKmPl2rVqMFPB/artxnTpr2yLkJDN7B1awSjR49l2bJVFCpUiFGjRuRaF4cOHWThwvn06dOPlSvX4OTkzKhRI1GpMuN3dXUjODiEDRvCmD37G9LS0ggKGsGLFy901MdsBg8alFEfLgwaMiSX+jjD2OBg2rVtS8SmTTrrA+DgDz9w7vz5V/5wc/DX35i/dh0fd+zA6hnTcbK3Y+RXU1DGxWlNn5ScTOmSJRncvRuWZmZa02zYsYPt+w8Q1K8fm76Zy5Ae3dm4cxcR+77LNRbIH+2yJWITu3ZuZVhAEHO/WYKxcSEmhYzJ9Xvj559/YMWKxXTr0YcFC1fg4ODIpJAxxMamf29YFS/BhtCtGluPnn0pVKgQlatUzVFe5A8/MnvJEgb17kXo8mW4ODoyZOw4lNm+h15KSk6mbGlrAgYOwMrCQmuaU2fP0rmtP+sWLWTJzJk8f/6cwWPHkpiYqPNzCSGEEEK8a9JB/49IS0tj27YIuvfoRc2atXFwdGLcuIkoYhT8euSwznxbt4TRokVrmjVriZ19OUaMGIORkTHff79HI52xkTEWFpbqrUiRIjnKWr9xI+3btaOtvz+ODg5MDAnB2NiYHTt3aj32xtBQalSvTp/evXFwcGDYkCG4u7kRFh4OQNGiRVm2ZAlNmzTB3t4eb29vgseNI+rSJe7fv//K+ti8OYw+vftSp3ZdnJycmTzpM2JiYvjl8M8684WFb6JNa39atWxNuXIOjB0zHiMjY/bsSR+1dnRwZOrU6dSqVZuyZctSuVJlBg0czK+/HuH58+caZa3bsJEO7dvRzt8fR0cHJmfUx/Yd2utjw6ZQataozse9e+Po4MDwoUPwcHcjNCxcI13BggWxsrJSb6bFir1GXYTTq1cfateug5OTEyEhk1EoYjh8+Bed+cLDN9G6dRtatmxFuXLlGD16LMbGRuzdm3lutGnTFl/fClhbW+Pq6kr//oN49OghDx7kbJ91GzbQoX37jPpwzFIfO3TUxyZq1qiRpT6G4uHuTmhYmEa6h48eMW36dKZPnUqBArlPGgrbvYc2jRrSqkF9ytmUZezAARgZFWTPDz9qTe/h5MSwXj1pXKsmhoaGWtOcv3KV2lUqU7NSRaxLlKBB9WpU9fEmSssPCVnlh3ZJS0tjx/YtdOnak+rVa1HOwZFRY4JRKGL4/bcjOmPYvi2CZs1a0qRJc2zt7Bk2PAgjI2P2R+4DwMDAQOP7wsLCkt9+O0zt2vUpVKhwjvI2RETQvmUL/Js3x9HenpCgkRgbG7HjO+0/cni6uTHyk09o1qCBznZZNGM6bZo1w7FcOVydHPl8/DgePHxE1NWrOj+XEEII8V+lp6eXL7cPkXTQM8THx9OsWTO8vLzw8vIiMjISKysrAgMDcXd3x9/fn8OHD1OrVi2cnJz4/fffAfjxxx/x8vLCx8eHypUr6yz/jz/+oHr16lSsWJG6devy119/kZqaiqOjIwkJCQAkJiZiZ2fH8+fP+f333/H09KRChQoMHTqUDtmmZ76p+/ejUSoVVKxYRb3PxMQEd3cPoqIuaM2TkpLC1atXqVgx83Pp6+tTsWJloqIuaqQ9dOgA7du1pH+/nqxcuZSkpKQcZV26dIlqfn4aZVXz8+PcuXNaj3/u/HmN9AA1qlfXmR7S21FPT4+iRYvqTAMQHR2NQqGgcuXM0ToTExM8PDy5cOG81jwpKSlcuXJZY4RPX1+fKpWr6MzzMqYiRYpodA5TUlKI0lEfZ3V8vrPnzlNdS31kT3/8xAnqNGhIq7bt+GLKVGJjY3XGBpnnRuXKOc+NixdzOzeuUKlSZh59fX0qV66iM09iYiL79u3B2ro0JUqUzFHem9fHuVfWR2pqKsETJ9Knd2+cHB111MDLGJ5z5cYNKnt7acRQxcuLC1f+eafNy9WFE+cvcDs6GoBrt25x9vIVqleokGu+/NAuDx7cR6VS4luhknpfkSImuLp5cOlSlM4Y/rx2RSOPvr4+vhUqcVlHnmvXrnDj+p80adZCa3mXrl7Fr5JmeX4VK3Huovby/on4jO/hV/2gJYQQQgjxLsk96BkiIyOxtLTk+++/Jy0tjSdPnqBQKGjbti3z5s2jcePGLFy4kF9++YUDBw7w9ddfs3PnTubMmcOcOXNo3LgxcTqmwQJ4eHhw5MgRDAwM2LVrF1999RUrVqygefPm7Nmzh86dO7Nv3z6aNGlCgQIFGDBgAOvXr6dixYr06NEj19iTk5NzTHlNTk7GyMhI/frl9FZzc3ONdGbm5urp2dnFxcWRmvoCc3PNKaLm5hbcufOX+nWDBo0pWbIUlpZW3LxxnRUrlnD3zm0++3xq5vFjY3nx4gWW2aabWlpYcPPWLa3Hj4mJwdLSUjO9pSUxCoXW9MnJyXwzbx7NmzXTer93VkplehkW2eKxsLBAqdBeH7EZn0Fbnr9u/6Uzz+o139KmTVuN/SqVjvqwfEV9WGjWh1W2+qhZowaNGjSgTJnS3Ll7l3kLFvLJsOFsXLsGAwMDreUqMvJnb2cLCwt1PWUXF6e9LszNLfjrL8262L59K0uWLCIxMRFbW1vmzp2XY1RTpVLpqA/LV9SHZvrs9bFq9WoMDAzo0VX7/c5ZxT55zIvUVCxMzTT2W5iZ8de96Ffm16Vnu7YkJCbSNXAk+vr6pKamMqhrF5rW0X6v/Et51S5JWaauq783zDTLMzMz15gyn9Xjx3GkpqZqzXPnzm2tefZH7sPG1g4Pj5zrDaji4tLbJdt3l6W5Obduay/vTaWmpjJr4SJ8y5fHqVy5t1KmEEIIIcQ/IR30DF5eXowYMYKxY8fSrl07qlevjomJCfXr11e/7+rqir6+Pl5eXtzK6DTUrFmT8ePHc+nSJTp27IipqanW8lUqFT179uT69evpf7xm/LHZsWNHFixYQOfOndmyZQt9+/YlNjaWlJQUKlasCEDnzp1Zu3atztinTZvG559/rrGvY6cuXLl8Sf16ytQZ/7huXqVVK3/1vx0cHLGwtGTM6ECio+9R3Nz5nR03q5SUFMaMG0caEBIcnOP9yMjvmTHza/XrWTPnvPOYEhLiGT0miHLlytG/34B3fjyAFs2aqv/t4uyMi7MzzVu34fiJE+rR6f37I5k1a7o63fTps95pTI0bN6Vy5aooFDGEhYUyefJEFi9eBibG7/S4F6Oi2LBpExGhoXk6BerQb7+z//ARPgsMwMHGhqu3bjFv9RqsLMxpUa+eOl1+aJePPurA3Lmz1Wk+/+LrXEp4O5KTk/npx4N07dbrnR9Ll2nz5vHnzZusXjA/z2IQQggh8jV9mXj9vkgHPYOLiwtnzpxhz549BAUF0b17d40RaH19ffVrfX199WJK48ePV4+CV6tWjd9++40yZcrkKH/y5Mm0bNmSgQMHcuHCBfr06QNA7dq1+fjjj1EoFPzxxx+sX7+eJ0+evFHswcHBBAUFaey79dcDnj5NUL9OSXkGpP9QYGlppd4fq1Lh6Kh9hWpTU1P09Q1yjJSpVErMs43kZvVyhfd79+7i45neQTc3M8PAwCDHgl8KpRIrS+1lWVlZqUcR1ekVihzpU1JSGDN+PPfv32fFsmVaR89r1aqNp2fmKtbPnqUAoFQqsbLKrA+lUomzs/YfFcwyPoMy22dQKpU5RiwTEhIYGTSCwoULM23q9Bz3Ppub66gPxSvqI9vIaYyW+sjKpmxZzM3MuH3njrqDXqtWLTw8MlfhT0lJrwuVSltduGgt19RUe12oVMocsx5MTEwwMTHBxsYGT8/ytGjRhMOHf6Zj2zbqNObm5jrqQ/fnS68PzfRZ6+PU6dMolUoat8icNv3ixQtmzpnD+o0b2b9vn0Zes6LFMNDXRxkXq7FfGRuLhY4F4F7HovUb6NnWn8a1agLgaGfLg7//Zt22HRod9PzQLmlpaSxcvDIzhozrRBWrxCJL/thYFQ4O2r83ihUzRV9fH1WsZgyxsSoszHMu2Hbk8M8kJyfTsGHTHO8BmJuaprdLtgXhFCpVjhkU/8TX8+Zx+Pc/WDXvG0q+xtMfhBBCCCHeJfkpJEN0dDRFihShd+/ejBgxgjNnzrxWvuvXr+Pj40NISAgeHh7cvHlTa7rHjx+rO+5r1qxR79fX16d58+YMHz6cRo0aUaBAAczNzSlQoIA6hoiIiFxjMDIyolixYhqbubk5ZcqUVW92duWwsLDk9KkT6nwJCQlcuhSldVopgKGhIS4uLpw6fVK9LzU1ldOnT2o8silnnVwD0JiObWhoiLu7O0ePHdMo6+ixY3h7e2stx9vLSyM9wB9Hj2qkf9k5v337NsuWLsVMR0eqSJEilC1ro97KlSuHpaUlJ04eV6dJSIgnKuoi5ct7aS3D0NAQV1c3Tp7IzJOamsqJk8c18iQkxDNiZACGhobMmD5L44eerGV5uLtz9GjO+vDRUR8+3l78ka0+fv/jqM70AA8ePiQ2Lo7iVpkdj8KFNevC3j793Dh5Mue54emZ27nhqpEnNTWVkydP6MwD6YuOpaWlqX8gyVpeen0c1Sgv9/rw1lIff6jTt27Zkm2bN7MlLEy9lShenL69erFs8WItn6kArg4OnDyfea92amoqJ85foLyr9g7x60hKTkYv26/OBvr6pKWlaezLD+2ip6dP6dJl1ZutnT3m5hacPXNKnfZpQgJXLkfh7u6htSxDQ0OcnF018qSmpnLmzEnctOTZH7kXv2o1MNVx7RoaGuLu4sLRU5rlHTt1Cm9P7TG8jrS0NL6eN48fjhxh2ZzZlLG2/sdlCSGEEEK8LTKCnuH8+fOMHj0aAwMDChUqxKpVq9ihY/XorObOncuPP/6IgYEBVapUoXr16lrTjR07lt69ezNp0iSaNWum8V7Hjh2pV68ekZGR6n3Lly9Xj+JXqlTplatPv4qenh7t23dk48a1lClrQ6lS1qxZvRJLK0tq1sq8F3bM6EBq1qpD27YfAfBRhy7MmD4FVxc3XN3c2bZ1M0lJiTRrmv6s5+joe/xw6ABV/apRrJgpN25cZ8ni+Xh7++KQbWS+Z/fuTPr0Uzw9PCjv6cmG0FASExNp2yZ9JDVk0iRKlChB4PDhAHTv1o1+Awawdv166tSqxfeRkVyMimLSxIlAeud89NixXLp8mQXz5pH64gUxMTFA+ui/rtWbX9ZHp05dWLt2NTZlbShdujTLVyzDysqKOrXrqtMNDxhK3Tr16NChIwBdOnflqylf4ObmjoeHB+Gbw0hKSqJVy1ZARud8RABJycl8OvlzEhIS1IsApv94kBlTrx7dCZmcUR/ls9SHf3p9BE9Mr4+RAen10aNrN/oOGMCadeupU7sW32XUx2eT0uvj6dOnLF62jMYNG2JlZcWdO3eYM28etjY21Kyh/bzMrIvOrF27hrJlbbC2tmblyhVYWlpRu3bm86gDA4dRp05dPvoovS46d+7K1Klf4ubmhru7JxERYSQmJtGiRSv1uXHo0EGqVvXDzMyMR48esXHjeoyMjLReJ7169CBk8uSM+iifpT78M+pjYkZ9BGTUR9eM+lhHndq1s9THJHV9Z//BpkCBAlhZWVHO3l5rXXRp3YqvFi7CzdEBDycnwvfuIyk5mVb16wHwxfyFFLe0YHD3bkD6wnI3794F4Pnz5/ytVHL15i0KGxtT1roUALUqV2Lt1m2UtLLCwaYsV2/eImzPHlpm3D6Tn9tFT0+Ptu06ELZpPaVLl6VkKWvWr1uFpaUV1WvUUqcLHh9EjRq1aN2mPQDt2ndkzqxpODu74uLqzs7tW0hOSqJxk+Ya5UdH3+XChXN8/mXuU+l7dOzI5K+/xsPFlfLuboRu2UpiUhL+Gd+lE6dOo0RxKwIGDMholxRuZNxzn/L8OY9iYrjy558UKlQI24wfSqd9M4/vDh1i7ldfUaRwYWIyZh2YFCmCsZYf1YQQQoj/tA90xfT8SDroGZo2bUrTpppTLF929gBmzcq8H7RUqVJcuJA+yrZw4cLXKr969epczfL4nqlTMxdQq1u3bo7RNF9fXy5eTF8pfdiwYbi5ub3mJ9Gtc5fuJCUlMXfODOLj4ynv5cXX02ZTsGDmH6PR0feIyzLFt379hsTFxbJmzUpUKiWOjk5M+3o25hlTSwsUKMCpUyfYunUzSUlJlChRgtq169G9R+8cx2/WtCkqlYrFS5YQo1Dg6urK4oUL1VNvHzx4gH6WkUZfHx+mTZnCwsWLWbBwIba2tnwzZw7OTukd/0d//81PP6c/Eq1Tly4ax1q5fDlVcllVH6BH954kJSYyfcY04uPj8fb2Yc7seRoj3vfu3SM2S300atSY2NhYVqxcjlKpwNnZhTmzv8EiY7bAlStXuJixwn2nzh9pHG/rlu2YF7VTv26eUR8LM+rDzdWVpYsWqqdo389WHxV8fZg+dQoLFi1m3sKF2NnaMj9Lfejr63P12jV27d7D4ydPKFG8ODWqV2PYkCEULFgw17ro1q0HiYmJzJz5NfHx8Xh5eTNr1lyNukg/NzIXQmzYsBGxsSpWrVqJUqnAycmZWbPmqqf7FyxYkHPnzhIREc6TJ0+wsLDAx8eXJUuW51j4THd9LMqlPnyZPnUqCxYt0lof/0SjmjWIffyYFWGbUcbG4mxvz5yQCeop7g9jYtDXz/wPVIxKSZ8xY9WvQ3ftJnTXbip4eLDoi88AGNnvY1aEhTNrxUpUj+OwMrfAv3FjPn6NJzPkRbs8SdBccLJDx64kJSWxYP4s4uPj8fT04ouvZmh8b9zPFkPdug14HBfL+vWrUamUODg48cVXM3K0+/7I77CyKq7xdAltmjaojyouliVrVqNQqnB1dGTR9OnqKe4PHj3SODf+VijoMmCg+vW68M2sC99MJR8fVn4zF4CIXbsAGDBypMaxPh83ljbZfkQVQgghhHhf9NKy9wxFvhAaGsqMGTN49uwZPj4+fPvttxQqVOi189+5+/c7jO71FTfP+UzjvJCQmPLqRO9BscK6R/XfF1V88qsTvQfm73iRuNf1OOOWjLz2oqRNXocAkKODnhesjVLzOgQACpfOuZ6IEEII8V+UEv9ma2S9L4YmuT9a+f+RjKC/ZZGRkYwbN05jX82aNVm0aNEbldOtWze6dev2NkMTQgghhBBCiH9Apri/L9JBf8u0TZUXQgghhBBCCCFeRVZxF0IIIYQQQggh8gEZQRdCCCGEEEIIoZvMcH9vZARdCCGEEEIIIYTIB6SDLoQQQgghhBBC5AMyxV0IIYQQQgghhG56Msf9fZERdCGEEEIIIYQQIh+QDroQQgghhBBCCJEPSAddCCGEEEIIIYTIB6SDLoQQQgghhBBC5APSQRdCCCGEEEIIIfIBWcX9A/UiNTWvQwDAgLS8DgGA01cf5HUIANR0NMvrEIi6FZfXIQBgb22W1yEAUMq6dF6HkK6QUV5HAEBM7NO8DgHDEmZ5HQIAsVcu5XUIAJi5uud1CEIIIf7zZBX390VG0IUQQgghhBBCiHxAOuhCCCGEEEIIIUQ+IB10IYQQQgghhBAiH5AOuhBCCCGEEEIIkQ9IB10IIYQQQgghhMgHZBV3IYQQQgghhBA65Y/nMv03yAi6EEIIIYQQQgiRD0gHXQghhBBCCCGEyAekgy6EEEIIIYQQQuQD0kEXQgghhBBCCCHyAemgCyGEEEIIIYQQ+YCs4v4fkpaWxrq13/L9d7uJj4/Hw9OLgIAgypS1yTXfrp3b2BIRhlKpxMHRkSFDA3Fz89BIExV1gTWrV3D58iUM9PVxcHRi6rTZQBGNdJvCN7N63TpiFApcXZyZMHYsXuXL6zx25IEDLFyyhHvR97GztWFkQAB1atXSSHP9xk3mzp/PiVMnefH8BQ4ODnwzcwbW1ta51sXeHaH8+vMBEp8m4ODsRpeegylRqrTOPNeuXOTgd9u589efxMWqGDg8GJ+K1TTSDO3rrzVv2069ady8fY79Ydu2szYsDIVSiYujI+MCA/HycNdaxp83b7Jk1bdEXb3K/QcPGD1sGD06ddRIc/LMWdaGbeLSlav8rVAwZ8pXNKhdW+dneiktLY3d20I5/NN+Ep8m4OjsTrc+gymZS31cvXyB/fu2c/vWdeJilQwOnIBvpWo50t2/d4dtm9dy9fIFUl+8wLqMDZ8MD8be2kxrHO/9HC1c6JX1E7Z1K2tDNxGjVOLi5Mj4kSPx8vDQmvbPGzdYvHIVl65cIfrBA8YEBNCjc6dXHiPHMcPDWZtxrbi4uDD+FdfK/gMHWLRkCdHR0dja2jIiIIDaGddKSkoKCxcv5sivv3L37l2Kmpjg5+dHYEAAJYoXzzWOtLQ0Nm1cw8H9+0hIiMfNvTyDhgRSunTZXPPt27uDHds2E6tSYl/Okf6DhuPi4qZ+//79aNZ+u5RLURdISUmhQsUqDBg0DDNzC63l5Zfvjoi9+9i4fTsKVSzO5ewZNXAAni4uWtPeuH2bZRtDuXL9Ovcf/c2Ifh/T1b9NjnSPFAoWrVnHb6dOkZycTFnrUkwKCMDd2UlnHEIIIcT7lCbLuL83H9QI+pgxY/D09ERPT4/r16/ndTj5zubwUHbu2MrwwFHMW7AMY2NjJgSP5tmzZJ15fvrpEMuXLaJ7jz4sWrISBwcnQoJHE6tSqdNERV0gJHgMlSpVYf6CZcxfuJw2/u3R09PTKOu7yP3MmDOHwQMHEhG6EVdnFwYNHYZCqdR67NNnzzJ2Qgjt/NsSERpKg3r1CAgaxbU//1SnuX3nDr369aOcvT2rly9na3gYnwzoT0Ejo1zr4sC+bfx0YC9deg1mzKSZFCxozMI5n5GS8kxnnmfJSZS1sadTj0E600z9Zo3G1uPj4ejp6VGhUo0caSMP/cDsRYsY1Kc3m1auwMXJkSGjR6PMUrdZJSUlUaZ0aQIHDcTKQnsnJjEpERdHJ4JHjsj18+eIZe82fjiwh+59BjP+05kYGRkxf+anpDzLrT6SKWtbjq69dNfH3w/vM/Or8ZSyLsOo4ClMnjKflv6dKVDQUGv6vD5Htfn+4CFmLVjIoI/7EvbtKlydnBgcFIRCVzslJ1O2dGkCBn+ClaXlK8vXeszISGbNmcOggQMJCw3F1dmZwUOH6rxWzpw9y/gJE2jn7094aCj169VjRFCQ+lpJSkri8uXLDOzfn/DQUObMmsWtv/4icMSIV8ayfWsYe/dsZ9CQEUyftRAjY2O+mDyeZ7mcG0cO/8jqlUvp3LUXs79Zin05R76YPI7YWFVGPIl8Pnks6OnxxZRZTJsxj+fPU5jy5URSU1NzlJdfvjsOHD7CvFXf0q9LF9bOnYOTvT2Bn36OMjZWa/qk5GTKlCrFkF69sDQ315rmcXw8A8eNx6CAAd98OomwhQsI+LgvRU2KaE0vhBBCiA/bB9VBX7NmDefPnyctLQ1HR8e8DidfSUtLY8f2CLp270mNGrVxcHBk7LgQFAoFv/16RGe+bVs306x5K5o2a4GdnT0BgaMwMjImMnKvOs2yJQtp2+4jOnfpgb19OWxsbKlbtwEFCxbUKGvdxg10aNeOdv5tcHRwYHLIBIyNjdm+c6fWY28I3UTN6tX5uHcvHB3KMXzIEDzc3AgN36xOM3/RYmrXrMmoEYG4u7lha2ND/bp1sdTRgX1ZFz8e2E2z1h3xqehHGRt7eg8YQZxKydlTf+jM5+ldidYf9cC3UnWdaUxNzTW2c6eP4ezmhVWJUjnSrt+8mfatWtG2RQsc7e2ZOGoUxsbG7Ni7T2vZ5d3dCRoymGYNG2KYrW5fqlWtGsMG9KdBnTo6Y8wuLS2NQ5G7aNGmE76VqlHWthx9B40kNlbJmVzqo7xPJdp26EGFyrrrY8eWDZT3qcRHXfpia+9I8ZLW+FT0o1gxM61x5PU5qs368DDat25N25YtcSxXjoljxmBsZMyOPXu014u7O0HDhtK8USMKGmr/IeKVx9y4kfbt2tHW3x9HBwcmhoSknxs6rpWNoaHUqF6dPr174+DgwLAhQ3B3cyMsPByAokWLsmzJEpo2aYK9vT3e3t4EjxtH1KVL3L9/X2ccaWlp7Nm1jY6deuBXrSb25RwJHDkOpTKGo3/obpNdO7bQuGkLGjZqho2tPZ8MGYGRkRGHDnwPwOWoi/z96CEBI8ZiZ++Anb0DASPHcf3Pq5w/dzpHefnlu2PTzp34N2lC60YNcbC1YfyQwRgbGbH74CGt6T2cnQno24cmdWpT0FD7hLX1W7dRwsqKyYEBeLq4ULpUSapVqEDZXEbxhRBCCPHh+mA66O3atUOlUlGxYkWqVq3KhQsXALCysmL06NF4eXnRsGFDEhISAFi6dClVqlTBx8eHbt26kZKSAkC9evUYN24clStXpnz58ly8eBGAJ0+e0LNnT7y9vfHx8eHw4cMArF+/Xl1OUFCQzvgeP35MgwYNqFixIr6+vhw8eBCAzp0788MPP6jTNWjQgNOnT/Pw4UPq169P+fLlCQ4OxsrK6l/Vz4MH91EqlVSsUFm9r0gRE9zc3LkUdUFrnpSUFK5dvUrFipl59PX1qVCxElFR6fUSq1Jx+XIUZmbmjAgcTOeO/owOGs6FC+dylBV16TLV/KpqlFXNrypnz53Xevyz589R3c9PY1+N6tU5ey697NTUVH45cgR7O1sGDhlKnYaN6NqrF4d+/DHXulD8/ZDHcSpcPX3U+woVLoK9ows3/7ySa9438TgulgvnTlCjdqMc76WkpHDp6lX8KldS79PX18evUiXOZZxz70tMRn24Z6uPcg4u3PgX9ZGamsr5sycoWao082Z8yuihPZn22WjOnNTe6c/rc1RX+ZeuXKVaFc3yq1WuzLkL76adUlJSuHTpEtWynPvp14of585pj/nc+fMa6SH9WtGVHiA+Ph49PT2KFi2qM83Dh/dRqZT4+FZU7ytSxARnF3euXI7SGf/1P6/i45OZR19fH2/fily5kp4n5Xn66Lthlh8wChYsiJ6eXo62zi/fHSkpKVz+8zpVfb014qji48P5y//8Ovnl2DHcnZwI/noGzXr2pmfgSHZE7v/H5QkhhBDvQlo+/d+H6IPpoG/fvh0zMzPOnDlD4cKF1fsVCgXNmjXj/PnzlClThm3btgHQqVMnjh8/ztmzZylVqhSbN2eOrBgaGnLixAmCgoKYM2cOAF9++SW2tracO3eO06dP4+3tzaVLl9i5cye///47Z8+eJSYmhr1796JNoUKF2LlzJ6dOneL7779n1KhRAHTs2JGIiAgAHj16RHR0NBUqVODzzz/H39+fCxcuvHI2QHJyMo8fP9bYkpM1pwQrlQoAzLJNszQzt0Cp0j5N9HFcHKmpL3LkMTe3QJWR5/79aADWr1tN8+atmTJtJk7OLowfO5J7d++o86hiY3nx4gWWFppTfi0tLIlRxGg9fkyMAktLzdEsK0sLYhSKjM+k5OnTp6xavYZaNWqwfPEiGtavz4jRYzh+8qTWMtM/V/o02+yjuEWLmanfexuO/voDxsaF8NUywqyKi0uvj2x1a2lhToyOabvviro+TM009hczNSMu9p/Xx5PHcSQnJfL9nq14elckcOznVKhUjaXzp3H1cs4Od16fo9qoYjPaKduoqqWFBTEZ8b5tmdeKlmMqtB8zJiYGy2zT6S0tLXWmT05O5pt582jerBkmJiY6Y3l5m4CpWbY2MTPXuIUgqyeP40hNTcU0ezuamROb0SYurh4YGxdi3ZoVJCclkZSUyJpvl5GamooqW73ml++O2MdPeJGaioWZmcZ+CzNTlP/iOol+8JBt332PTWlr5n32Ke2bN2POipXsPfTDqzMLIYQQ4oPzwS8SZ2JiQqNG6SOYlSpV4tatWwCcPXuWSZMmERcXR1xcHIUKZS4U1a5dO3X6jRs3AnDw4EF27doFpI+amJqasn79ev744w8qV04fXXv69CmVKmWOiGaVlpbG2LFjOXLkCAYGBly5coVnz57RokULxo4dy4sXL9i+fTvt26cvJPbbb78xadIkIH2Uffz48To/47Rp0/j888819nXo2JmrVy6rX3/51fTXq7A3lJqWfr9oi5ZtaNqsBQBOTi6cOX2SyMh9VPVxyy37vzx2+q9m9evVpVeP7gC4ubpy5uw5Nm/ZSpWMttizbx+Tv5yizjdkxKR3FlNWvx8+SJVqdTE0fPU06vfp6G8/sXH1YvXrYaMmv5PjpGWcGz4V/WjULH3xPBs7B67/eZlffviOAqlPmffNbHX6vDpHK7kMfifHza9SUlIYM24caUBIcLDGe3v37eOLr75Svw6ZPPWdxGBqasaYcZNZuuQb9u7ejp6eHrXrNMDB0Rk9/Xf/u/Hrfne8D6lpabg7OTKkV08AXB0duHH7Ntu+j6RlwwbvLQ4hhBBC5A8ffAfdKMuCPwYGBrx48QKAfv36sXfvXtzd3Vm4cKG64541T9b02qSmpjJgwAA+/fTTV8axceNGEhISOH36NAUKFMDKyopnz55hYmJClSpV+OWXX9iyZQszZswA0jv0rys4ODjH9PrrN6N5+jRB/frlFP5YlQpLy8zp8rEqJY6O2lcKLmZqir6+QY6RMpVKiXnGSssvR7Xs7Ow10tjY2vHo0UP1a3MzMwwMDFBkGx1TKBVYWWqfvm9lZYlCoTlyGqNQqhfeMjczo0ABAxwdHDTSOJQrx6kzZ9Sv69etS3CBzJWqnz9Pr4vHj2MxNcscZXvyOJayNuW0xvKm/rx6kYcP7vHx4DFa3zc3NU2vj2x1q1CqdC4A97b4VKhKOcfMVaefpzwH0qfkZ62Px3Gx2Ng55Mj/ukyKFkPfwADrMporsJcqXZbrV6OoVr0WrllWWs/rc1Qbc7OMdso2q0GhVGJl8c8WgHuVzGtFyzF1LDpnZWWFIttouUKhyJE+JSWFMePHc//+fVYsW5Zj9Lxe3bqYFbfVSA8QF6vCIsvnjY1VUc5B+8yeosVM0dfXJy5bm8TGqjRWaPetWJmlKzbwOC4OAwMDipiY0LdnB0qW0rz3Oi+/O7IyK1YUA339HAvCKWPjsDDTvgDc67AyN6ecjeY1Yl+2LD/+9vs/LlMIIYR422QV9/fng5ni/qYSEhIoWbIkz549Y9OmTa9M36hRI5YsWQKkd8zj4uJo2LAh4eHh6j+MHz16pHPBpcePH1OyZEkKFCjAnj17NP6Y7tixI0uWLOHu3btUqFABgBo1aqinvr/8f12MjIwoVqyYxmZubk6ZMmXVm52dPRYWFpw+nTl9MyEhgcuXL+Huof1RRYaGhji7uGjkSU1N5czpU3h4eAJQspQ1lpZW3L17WyPvvbt3KZFlYTRDQ0M83N04euy4RllHjx3Hx9tL6/F9vLz549gxjX2/Hz2Kj7e3ukxPD09u3vpLI82t239R2jrz2EWKFKFESWv1Zl3ahmKm5lyJyrw/NzHxKbeuX6Wck6vWWN7Ub78cxNbekbK22jv8hoaGuLu4cOykZt0eO3UKb0/PtxKDLsaFClOiZGn1Zl0mvT4uR51Vp0lMfMrNG1dx+Bf1UaCAIfblnHl4/57G/kcPorGwLEHhwoXz1Tmqq3x3VxeOntAs/+jJk3iXfzftZGhoiLu7O0eznPvp18oxvL29tebx9vLSSA/wx9GjGulfds5v377NsqVLMcs2VRvSrxXr0mXUm42tHebmFpw7e0qd5unTBK5dvaTx40r2+B2dXDiXZbG39PUITuPqmjNPMVNTipiYcO7saeLiYqlaVfOJB3n53ZE9DjcnR46fzfzeSE1N5fi5c3i5/fPrxNvdjb/uaV4jt6OjKVUi98ffCSGEEOLD9J/toH/22WdUrlyZOnXq6PyjN6tJkyZx69YtvLy8qFixIufPn8fT05OQkBAaNmyIt7c3LVu2RKnj/uHu3btz+PBhvLy82Lt3L7a2maNULVq0YN++feqp9QCffvopW7duxcvLi4sXL1KsWLF/9Xn19PRo264jm0LX8ftvR7h58zozZ0zB0tKSGjUznw08bswIdu7Yqn7d/qNOfLdvDwf2f8ftv26xYP5skpISadK0hbrcDp26sGP7Vg7/8hP37t1l7ZqV3LnzF82at9SIoVf3HmzZvp2du3dz/cZNvpw6jcTERNq2SX8ucPCkycxdsECdvke3rvz6+2+sWb+eGzdvsmjpMi5GRdEtyzOl+/bqyff797Nl2zZu375DaFg4P/9ymC4dNZ8Pnr0u6jduzfe7N3Pu9FHu3bnFuhXfYGpuofFc83kzJvHTwcw1BZKSErlz+wZ3bt8A0hebu3P7BkrF3xrlJyY+5fTxX6lRp3GubdKzUye27dnLru++58atW0yZPYfExET8WzQHYOKUKcxftlydPiUlhcvXrnH52jWep6TwKCaGy9eucfvuXXWap0+fqtMA3Lt/n8vXrnH/oe6RYj09PRo2bcO+nZs5eyq9PlYvm4uZmQW+WepjztcT+fFA5srlSUmJ3PnrBnf+Sq+PmL8fcuevGyhjMuujSYt2nDh6hMM/RvLoYTQ/HtjDudPHqNewhdY48voc1aZn5y5s272bXfu+48atW3w1axaJSYm0bZmeN+TLL5m3ZKk6fUpKCpevXuPy1WukpKTw6O+/uXxVs51eeczu3dm2fTu7du/mxo0bfDV1qsa1EjJpEvOyXCvdu3Xjt99/Z+369dy8eZMlS5dyMSqKLp07q2MaPXYsUVFRTJsyhdQXL4iJiSEmJkY9Sq6Nnp4erdq0JyJ8I8eO/sZft24wb87XWFhY4Vcts00mh4xm354d6tdt2nbgQORefjgUyZ07f7Fs8TckJSXRsFFTdZpDB7/nyuUo7t+P5qcfDzBz+ue09v9I6zPv88t3R1d/f3buP8DeQz9w884dpi9ZSlJSEq0aNgTgs7nfsGjtenX6lJQUrt64wdUbN0h5/py/lUqu3rjBnej7Wcpsw4UrV1mzOYI70feJ/PlndkTup0OLnNeIEEIIIT58emlvMpdavDdJSUkYGhpiYGBAREQE4eHhbNmy5bXz37qds0OWlpbGurXf8t2+3cTHx+NZ3ovhAUGUzfIHca8enWjcpBk9e32s3rdzx1a2RIShUilxcHRiyJBA3Nw1R8LCwzawa9d2njx5goODI/0HDKZ8eW/KWGo+yzc0LJzV69YRo1Dg5upC8JgxeHulj4L1GTCQMqWtmZLlfvrIAwdYsHgJ96KjsbO1JSgwgDq1ammUuW3HTlauXs3DR4+wt7Nj6CeDaFCvnkaan89qdo7S0tLYuyOUIz/tJ/FpAo4u7nTu+QklS5VRp5k0egDVajWgZduuAFy9fJ550yfmqFe/mg3o1T9Q/frIT5Fs2bSSaXPXUKiw5uev6Wim8Tps6zbWhoURo1Ti6uTEuMAAvDzS67ZfQCClS5Xiywnp9wnfu3+flp275Dh+JV9fVs2fB8Dx06cZEDgiR5rWzZqpyzl6Ky7H+2lpaezeFsrhnyJ5+jQBJ2cPuvX+hJLWmfUxIag/1Ws1oHX7bgBcuXSeOdNCcpRVvVYD+gzMjOHXnw/w/Z4tqJQKSlqXoXW7rvhWqoa9tVmOvHlxjpYq/OrfKTdt2cra0ND0dnJ2YtyIEeqZDv2GDaN0KWu+nJheF/fu36dFh5ydvMoVfFm1cKHugxQqrPFyU1gYazOuFVdXV8ZluVb6DRhA6dKl+TLLtbL/wAEWLl5MdHQ0tra2jAwMpHbGtXIvOpoWrVppPezK5cupUjlzlfob9zSnpqelpbFp4xoORO4lISEedw8vBg4OoEyWWxcG9utGg4ZN6dKtt3rfvj072LEtHJUqfTp8/4HDcHF1V7+/bs0KfjwUSXz8E4qXKEnT5q1p498BPT09nMuY5YgzL747ErQsIhixZy8btu9AoVLh4lCOoAEDKO+afsvI4AkhWJcoweQR6d8H0Q8f0m7AoBxlVCzvyZKpmetiHDl+nMXr1nMn+j6lS5akq38b2jZton7fLEu9CSGEEHnh6ZOEVyfKA4WLFnl1ov8z0kHPpy5fvkzXrl158eIFpqamrF69Gicn7ffhaqOtg54XsnfQ80r2Dnpeyd5BzwvaOuh5QVsHPS+8Tgf9vcjWQc8r2TvoeUFbBz0vaOug5wXpoAshhMhr0kF/fz74ReLeN4VCQcOM6Y4vGRkZcfTo0Tcqx83NjdOnT786oRBCCCGEEEKID4J00N8yS0tLzuhYBVgIIYQQQggh/t+kyqTr9yafzO0UQgghhBBCCCH+26SDLoQQQgghhBDiP2HRokXY29tjbGyMn58fx7I9mjW7iIgI3NzcMDY2xsvLi3379r3T+KSDLoQQQgghhBBCp7S0tHy5vanw8HCCgoL49NNPOXXqFD4+PjRt2pRHjx5pTf/bb7/RtWtX+vXrx+nTp2nbti1t27blwoUL/7ZKdZIOuhBCCCGEEEKID96cOXMYMGAAffv2xcPDg6VLl1K4cGG+/fZbrennzZtHs2bNGDNmDO7u7nz55ZdUrFiRhbk9Ovdfkg66EEIIIYQQQoj/O8nJyTx+/FhjS05O1pr22bNnnDx5kkaNGqn36evr06hRI37//XeteX7//XeN9ABNmzbVmf5tkA66EEIIIYQQQgid0tLy5zZt2jRMTU01tmnTpmn9DDExMbx48YKSJUtq7C9ZsiQPHjzQmufBgwdvlP5tkMesCSGEEEIIIYT4vxMcHExQUJDGPiMjozyK5u2QDroQQgghhBBCiP87RkZGr90ht7KywsDAgIcPH2rsf/jwIaVKldKap1SpUm+U/m2QKe5CCCGEEEIIIXRKTUvLl9ubKFiwIJUqVeLQoUOZnys1lUOHDlG9enWteapXr66RHuDAgQM6078NMoIuhBBCCCGEEOKDFxQURO/evalcuTJVq1blm2++ISEhgb59+wLQq1cvypQpo76PPTAwkLp16zJ79mxatmxJWFgYJ06cYPny5e8sRumgf6DKWJnkdQgAJKWk5nUIAPh5lsnrEABI08/7SSse5QrmdQgAmBfJH3Gk6eV9mwDceRiX1yEA4FTWIq9DICnlRV6HAMALS+u8DgGAJ3FP8joEAIqaFs3rEIQQQoh/pXPnzvz9999MnjyZBw8e4Ovry/fff69eCO727dvoZ/l7vUaNGoSGhjJx4kQmTJiAs7MzO3bsoHz58u8sRr20f/KEd5HvpTxNyOsQgPzTQc8vDPJBBz0+UfujJ9436aBryi8ddJuSpnkdAsn5pIP+LJ/EUdDQIK9DAKSDLoQQ/2UqZf74OyU7c4u8/7vlbcsff5kKIYQQQgghhBD/cdJBF0IIIYQQQggh8gG5B10IIYQQQgghhE6pqXJX9PsiI+hCCCGEEEIIIUQ+IB10IYQQQgghhBAiH5Ap7kIIIYQQQgghdJIHf70/MoIuhBBCCCGEEELkA9JBF0IIIYQQQggh8gGZ4i6EEEIIIYQQQqdUmeL+3sgIuhBCCCGEEEIIkQ9IB/0/ZFN4OE1atKSiXzW69uzF+QsXck0feeAArdu1p6JfNdp17MQvh49ovB8y+VPKV6iosQ0aOvStxpyWlsbSZUtp2rwpNWvXZMjQIdy+ffutHuNVNkdsprV/a2rUqkHvvr25cDH3ensT4ZvDadG6JX41qtGzdy8uvKJNDhw8QLuP2uNXoxodO3fi8BHNNjn0wyEGDx1CvYb1qVC5IleuXHmtONLS0li5cjn+/q1o2LAuI0YM586dO6/Mt23bFjp2bEfDhnUZOLAfUVEXNd6fOfNrOnfuQMOGdWnVqjnBwWP5669bOsvbFL6ZJi1bUbFadbr2es1ztH17KlarTrtOnfglW30AXL9xk2EjRlKtTh2q1KhJ5x49uX//fi4xhNO0RQsq+fnRrWfP17xO2lHJz492HTvyy+HDGu8vXrqU1u3aUbV6dWrUqUP/QYM4d/58rmW+lJaWxvp139K9a3vatmnChPFB3Lt395X5du/aTp9enfFv3ZgRgYO5cuWS+r2HD+7Tolk9rdvhX37K1/Xxut7l90ZaWhorViyjdZsW1Ktfh4DAYdy58+qyt26NoP1HbalXvzb9B3ysca08fhzHnDmz6NKlI/Xq16Fd+zbMmTub+Pj4txZzXn+PCiGEEOL1fPAd9Fu3blG5cuXXTj958mQOZ/xBaW9vT3x8PLGxsSxfvlyd5sSJE4wZM+atx/oufRcZyYzZcxg8aCARoaG4ujgzaMhQFEql1vSnz5xlbPAE2rX1J2JTKA3q1SMgKIhrf/6pka5WjRr8dGC/epsxbdpbjXvturWEhYcRPD6YNd+uwbiQMcMDhpOcnPxWj6PL/gP7mfvNXAb0H8CGdRtwcXZheMBwlDrq7U1E7o9k9tw5DBowkNANobi4ODNk+FCdZZ85e5bgkAm09fdn08ZQ6tWrR9DoIP7M0iaJiYn4+voSMDzgjWIJDd3A1q0RjB49lmXLVlGoUCFGjRqRaz0fOnSQhQvn06dPP1auXIOTkzOjRo1EpcqM39XVjeDgEDZsCGP27G9IS0sjKGgEL168yFHed5H7mTFnDoMHDiQidCOuzi4MGjpM9zl69ixjJ4TQzr8tEaEvz9FRGufo7Tt36NWvH+Xs7Vm9fDlbw8P4ZEB/ChoZaS3z+8hIZs6ezSeDBrE5NBQXFxcGDRmiM4YzZ84wLjiY9m3bErFpEw3q1SMw23ViZ2fHhHHj2BoRwbrVqylTujSDhgx5rXNoS8Qmdu3cyrCAIOZ+swRj40JMChnDs2e62+Xnn39gxYrFdOvRhwULV+Dg4MikkDHExqoAsCpegg2hWzW2Hj37UqhQISpXqZqv6+N1vcvvjQ0b1xOxZTNjxoxj5YpVGBsbMzIoMNeyDx48wPwF8/j4436s/nYtTk5OjAwKRJlxrfwdE0NMzN8MGxbAhvWhhIRM5ujR35k67at/HS/k/feoEEKI/3+pqWn5cvsQffAd9Df1xRdfULt2bY192TvolStXZubMme87tH9l3YaNdGjfjnb+/jg6OjA5JARjY2O279ipNf2GTaHUrFGdj3v3xtHBgeFDh+Dh7kZoWLhGuoIFC2JlZaXeTIsVe2sxp6WlsSlsE/0+7ke9uvVwdnbmi8++4O+Yv/np55/e2nFyszF0I23btqVN6zY4ODgQPD4YY2Njdu3e9a/L3rBxI+3btsO/jT+ODg6EBKe3yY5d2ttkU1goNapXp3ev3jiUc2Do4CG4u7kRtjmzTVq1bMWgAQOpVtXvteNIS0tj8+ZwevXqQ+3adXByciIkZDIKRQyHD/+iM194+CZat25Dy5atKFeuHKNHj8XY2Ii9e/eo07Rp0xZf3wpYW1vj6upK//6DePToIQ8e5BzBXrdxAx3ataOdfxscHRyYHDIh/RzdqeMcDd1EzerV+bh3LxwdyjF8yBA83NwIDd+sTjN/0WJq16zJqBGBuLu5YWtjQ/26dbG0sNBa5roNG/ioffuM68SRySEhFDI2ZvuOHdpj2LSJmjVq0Ld3bxwcHBg+dCge7u5sCgtTp2nZvDnVq1XDpmxZnBwdGTNqFPHx8Vy9dk1n3UJ6u+zYvoUuXXtSvXotyjk4MmpMMApFDL//lnOmwEvbt0XQrFlLmjRpjq2dPcOGB2FkZMz+yH0AGBgYYGFhqbH99tthateuT6FChfNtfbyud/m9kX6thNGnd1/q1K6Lk5Mzkyd9RkxMDL8c/llnvrDwTbRp7U+rlq0pV86BsWPGY2RkzJ49uwFwdHBk6tTp1KpVm7Jly1K5UmUGDRzMr78e4fnz5/865rz+HhVCCCHE6/tPdNCfPXtGp06dcHd3p3fv3jx//lw9Og6wZ88e+vTpA0CfPn3Ys2ePRv6QkBCioqLw9fXliy++4KeffqJDhw4AfPbZZ/Tv3586derg4OBAWJY/RLO7fv06tWvXpmLFilStWpUzZ84A4Ofnx40bN9TpXFxciImJ4erVq1SuXBkfHx+CgoLeaCZAVikpKURdukQ1v8xOm76+PtX8/Dh77pzWPGfPnae6n2Ynr0b16jnSHz9xgjoNGtKqbTu+mDKV2NjYfxSjNvei76FQKKhaNXNUz8TEhPKe5Tn/lqfEapOSksLly5fxq6JZb1WrVOXcee319iZlX7p8Cb9sbeJX1Y9zOtrk3Lnz+GXreFevXv1fx3L/fjRKpYLKlauo95mYmODu7sFFHdP5U1JSuHr1CpUqZebR19encuUqOvMkJiayb98erK1LU6JEyRzlRV26TDW/zLZOP0ercvac9rY+e/5crudoamoqvxw5gr2dLQOHDKVOw0Z07dWLQz/+qPMzvfl1ck4jffYYtB1jy7ZtFDUxwdXFRWualx48uI9KpcS3QiX1viJFTHB18+DSpSid5f957YpGHn19fXwrVOKyjjzXrl3hxvU/adKsRY6y8lN9vK53+b0RHR2NQqGgcmXNsj08PLlwQXvZKSkpXLlyWWN2gr6+PlUqV9GZByA+Pp4iRYpQoMC/W8s1r79HhRBCCPFm/hMd9AsXLjB27FguXbpESkoKGzZseKP8U6ZMwcPDgzNnzjB58uQc71+/fp1Dhw5x4MABJk6cqLMca2trDh48yKlTp1i5cqV6mnzHjh2JiIgA4OTJk9jZ2WFlZcWIESOYOHEiZ8+epXDhwjrLTU5O5vHjxxpb1qmLKlUsL168yDFqaGlpQYxCobXMmJgYLC0sNfZZWVpqpK9ZowZTv/ySlcuWMjIwgBMnT/LJsOFapy//E4qMY2WPw8LCQv3euxQbm15vFtnq7W0cX6WjbMtcyo5RxGCRrS4sLSz/dSwv85ub5/ycSqX2suPitMdvbp4z/u3bt9KkSQOaNGnA0aO/M3fuPAwNDTXSvKyP7G1taWFJjCJGawwxMQosLTWPb5XlnFYqlTx9+pRVq9dQq0YNli9eRMP69RkxegzHT57MUZ5KpdJxneiu4/TrJGf67NfVz7/8QtUaNajk58f6DRtYvnQp5ubmWsvMjCd9+rO5mWb5ZmbmGrcRZPX4cRypqala8yh15NkfuQ8bWzs8PMpnO37+qo/X9S6/N15eD9q+E5QK7fWb2/eIrmn9sbGxrF7zLW3atP1X8ULef48KIYT4MKSl5c/tQ/Sf6KA7OTmpR5+7dOnCES0LSf0brVq1wtDQEEdHx1xHkJOTk/n444/x8vKiV69eREWlj2h17NiRLVu2ALBlyxY6duwIpHfW/f39AejcubPOcqdNm4apqanGNn3WrLf06XRr0awp9evVxcXZmYb167No/jwuXLzI8RMn/lF5333/HbXr1lZv/3Zqp9Bu//5IdYe5SZMG77yeGzduyqpVa1mwYDE2NrZMnjzxvdz7+vJxIPXr1aVXj+64ubrSv29f6tauzeYtW9/58bOqUqUKW8LCWL9mDTVr1GD02LE57uP+8YcDtG/bTL29eA/nf3JyMj/9eJCmTVu8OvFb9Dr18bre5fdGZOT3NGxUT729j++khIR4Ro8Joly5cvTvN+CN88v3qBBCCPH/7T/xHHQ9PT2Nf+vp6VGgQAFSU1MB/nVnwUjHglPZffPNN9jb27NhwwYSEhKwt7cH0hdN0tfX58aNG+zYsUO9SN3rCg4OJigoSGOf/ovMP8rMzc0wMDDI8QewQqHEylJzVOUlKysrFNlGT2MUCp3pAWzKlsXczIzbd+7kmOb6OurUrkN5z8xRvGfPnqXHqVRgZWWl3q9UKnF5S9Nhc2Nmll5v2Ue5lEollrnUw+sw11G2IpeyrSytcoxoK5SKN46lVq1aeHh4qF+npKQA6SO22evZ2Vl7PZuaao9fpcoZv4mJCSYmJtjY2ODpWZ4WLZpw+PDPdPRvpU7zsj6yn3MKpQIrSyu0sbKyRJFt1DImyzltbmZGgQIGODo4aKRxKFeOUxm3l2Rlbm6u4zrRXcfp10nO9Nmvk8KFCmFra4utrS0+3t60bNOG7du3079fP3Uav2o1cXVzV79OeZbRLrFKLLKUFxurwsHBSWs8xYqZoq+vjypWM6bYWBUW2WZIABw5/DPJyck0bNg0x3t5XR+v611+b9SqVRtPT88sZaeoy8p5rThrLSO375Hso+oJCQmMDBpB4cKFmTZ1+j+a3p7fvkeFEEII8Wb+EyPo165d49SpUwCEh4dTq1Yt7OzsOHPmTPpCTDoWPHqpaNGiPHny5F/H8fjxY0qXLo2enh5r1qzReK9jx45MnDiRsmXLqv+IqlixIrt3py8i9HIKvDZGRkYUK1ZMY8v6o4GhoSEe7u4cPXpMvS81NZWjx47h4+2ttUwfby/+OHZMY9/vfxzVmR7gwcOHxMbFUdyquM40uSlSpAg2NjbqzcHBAUtLS44fP65OEx8fz4WLF/Dy8vpHx3gThoaGuLm5cey4Zr0dP3Ecby/d9fC6Zbu7uXP0mGbZx44fw1tHHXt7e2nEAvDH0aNvHEvhwkUoW9ZGvdnbl8PCwpKTJzNnPiQkJHDpUhSenuW1lmFoaIiLi6tGntTUVE6ePKEzD6QvWJWWlqbu6GQtz8PdjaPHMts6/Rw9jo+39rb28fLOeY4ezTxHDQ0N8fTw5OatvzTS3Lr9F6WtS2n9TOnXyVGNGP7I9Trx1mhDgN//+CPX6wTSR/efpWjWQeHChSlduqx6s7Wzx9zcgrNnTqnTPE1I4MrlKNzdPbIXqf4MTs6uGnlSU1M5c+Ykblry7I/ci1+1GpiamWktKy/r43W9y++NIkU0r5Vy5cphaWnJiZOZZSckxBMVdZHy5bWXbWhoiKurGydPaJ7bJ04e18iTkBDPiJEBGBoaMmP6rNf+4VdbzPnpe1QIIcSHITUtLV9uH6L/RAe9fPnyTJ8+HXd3d/T19enWrRuTJk2if//++Pn5Yablj9OsLC0tqVixIl5eXnzxxRf/OI4hQ4awbNkyfH19c9z717FjRzZt2qSe3g4wd+5cvvjiC3x8fFAqlRT7Fyuk9+rRnS3bt7Nz126u37jBl1OnkpiYSFv/NgAET5zE3PkL1Ol7dO3Gr7/9zpp167lx8yaLli7lYlQU3bqkT7V/+vQps+bO5ey5c9yLjuaPo0cJGDkSWxsbatao/o/jzEpPT4+uXbqy6ttV/PzLz/z55598+tmnFLcqTr269d7KMV6le7fu7Ni5gz179nDz5k2mTZ9GYmIirVu1/tdl9+jene07trNrz25u3LzB1GnpbeLfOr1NJk6exPyFmW3StUs3fvvtd9ZtWM/NWzdZumwpUVFRdOmUeftDXFwcV65c4XrGooO3/rrFlStXiInRfh83pNdzp06dWbt2DUeOHOb69T/56qsvsLS0onbtOup0gYHD2Lo184eizp27smfPLr77bi+3bt1i9uwZJCYm0aJF+sh4dPQ91q9fy5Url3n48AHnz59j8uQQjIyMqF495znSq3uP9HN0926u37jJl1PT67ptm4xzdNJk5i7Ico5268qvv//GmvUvz9Fl6edo507qNH179eT7/fvZsm0bt2/fITQsnJ9/OUyXLNeZRgw9erB1+3Z27trFDY3rJP1WkwkTJ/LN/PmZMXTtyq+//cbadeu4cfMmizOuk65dugDwNDGReQsWcPbcOaKjo7kYFcWkzz7j0aNHNGncWGebvGyXtu06ELZpPX/8/is3b95g1qypWFpaUb1GLXW64PFB7N61Tf26XfuOfP/dHg4e+J7bt/9i0YK5JCcl0bhJc43yo6PvcuHCOZo2a6kzhvxUH6/rXX5vpF8rXVi7djWHD//C9et/8sWXn2NlZUWd2nXV6YYHDGXLlsxrpUvnruzavZN9+/Zy69ZNZs6aTlJSEq1apl8rCQnxjBgRQFJSEsHjQ0hISEChUKBQKP71mh754XtUCCGEEK/vg5/ibm9vr3VV7Hr16nH16tUc+7OObN+6dUv9702bNuXID+mruGeVW0fI2dlZI5ZPP/1U/W87OzvSsv0KZGtry/Hjx9HT02PmzJkYGxvrLPtVmjdtikqlYuGSJcQoFLi5urJ00UL11NP7Dx6gr5/5e00FXx+mT53CgkWLmbdwIXa2tsyfMwdnp/Sptfr6+ly9do1du/fw+MkTShQvTo3q1Rg2ZAgFCxb8x3Fm17tXb5KSkpg6dSpP4p/g6+PL/Hnz//Ho0ptq0rgJKpWKpcuXolAocHFxYcG8Bf96ijtA0ybpbbJk6RIUCgWuLq4sWrBQXfaDbG3i6+PD1ClTWLR4MQsXLcTWxpY5s+bg5JQ53fnnX37m088/U78ePyEYgEEDBvLJoE90xtKtWw8SExOZOfNr4uPj8fLyZtasuRr1HB19j7i4OPXrhg0bERurYtWqlSiVCpycnJk1a6562m7BggU5d+4sERHhPHnyBAsLC3x8fFmyZHmOBekAmjdtknGOLs04R11YunBBtnM083aVCj4+TJ8yhQWLlzBv4aKMc3S2+hwFaNSgAZMnTGDl6tVMmzkLezs75s6cQcUKFbTWQ7OmTVGqVCzSuE4WacSgl7VNfH35eupUFi5apL5O5mW5Tgz09bl56xa7du9GFRuLmakpnp6erP32W5wcHXW2x0sdOnYlKSmJBfNnER8fj6enF198NYOCBTPb5X62dqlbtwGP42JZv341KpUSBwcnvvhqRo463x/5HVZWxalYsQq65Lf6eF3v8nujR/eeJCUmMn3GNOLj4/H29mHO7HkaZd+7d4/YuFj160aNGhMbG8uKlctRKhU4O7swZ/Y36kUfr1y5wsWoiwB06vyRxvG2btmOna3Nv4o5r79HhRBCCPH69NKy9wpFvvHTTz8xYsQIXrx4QdmyZVm3bh3Fi7/e9PGUpwnvOLrXk5SSmtch5CsG+nk/aSU+8d0v0PY6zIu8vR9y/o00vbxvE4A7D+Neneg9sClpmtchkJzydp4E8W89yydxFDQ0yOsQAChqWjSvQxBCCJFH7tz9O69D0Mqm7D+7tTY/++BH0PPC+fPn6dmzp8a+cuXKsX379jcqp169eupnpQshhBBCCCGE+LBJB/0d8PLyko61EEIIIYQQQog3Ih10IYQQQgghhBA6yV3R70/+uPlSCCGEEEIIIYT4j5MOuhBCCCGEEEIIkQ/IFHchhBBCCCGEEDqlyhT390ZG0IUQQgghhBBCiHxAOuhCCCGEEEIIIUQ+IFPchRBCCCGEEELoJFPc3x8ZQRdCCCGEEEIIIfIB6aALIYQQQgghhBD5gExxF0IIIYQQQgihU1qqTHF/X6SD/oGKiUvK6xAAMDUxzusQADA00MvrEACIiUvM6xBQfbctr0MAwKRjt7wOAYD4xPxxrdiUNM3rEACIjc/7+jAvUjCvQwBAEZec1yEA8DQpJa9DAMD86bO8DgEAa2vLvA5BCCGEeGdkirsQQgghhBBCCJEPyAi6EEIIIYQQQgidZBX390dG0IUQQgghhBBCiHxAOuhCCCGEEEIIIUQ+IFPchRBCCCGEEELoJDPc3x8ZQRdCCCGEEEIIIfIB6aALIYQQQgghhBD5gExxF0IIIYQQQgihU2qqzHF/X2QEXQghhBBCCCGEyAekgy6EEEIIIYQQQuQDMsVdCCGEEEIIIYROqbKM+3sjHfT/kLS0NFavXsmePbuIj39C+fLeBAWNoWxZm1zzbd++lbCwjSiVSpycnAgICMLd3UNr+ePGjeLYsT/48stp1K5dN0ea8M3hrF2/DoVCgYuzC+PGjKV8+fI6j33g4AEWL1lC9P1obG1sCRgeQO1atdTvH/rhEFu2buXS5UvExcURtnETrq6ur6yLTeHhrF67lhiFAlcXFyaMG4dXLnFEHjjAwsWLuRcdjZ2tLSMDAqhTu7bWtJ9/9RURW7cybvRoenbvnmsc+aFNAMzdPbAs702BQoVIVim5//tvJMX8rTVtUTt7rHx8KVi0GHr6+jx7/BjFhXPEXf9TnaZ07bqYObto5Iu/e4fb+7/P9XPll/MjLS2NVatWsHt3ert4eXkzatRYbGxyb5dt27awaVN6uzg6OjFiRBAeHp7q92fO/JoTJ04QE/M3hQoVxsvLi08+GYKdnX2OsjaFh7Mmyzka/JrnaHR0NLZaztHFS5fyXWQkDx88oIChIR7u7gQMG4a3l1e+r4v0+tjM6nXrMurDmQljx766PpYs4V70fexsbdLrI8u5AXD9xk3mzp/PiVMnefH8BQ4ODnwzcwbW1ta51se6td/y/Xe7iY+Px8PTi4CAIMq84prdtXMbWyLCUCqVODg6MmRoIG5umtdsVNQF1qxeweXLlzDQ18fB0Ymp02ajbbJbWloamzau4eD+fSQkxOPmXp5BQwIpXbpsrnHs27uDHds2E6tSYl/Okf6DhuPi4qZ+//79aNZ+u5RLURdISUmhQsUqDBg0DDNzC531kR++w4QQQogPxQc3xX3Xrl3MnTv3jfPdunWLzZs3/+ty8rNNmzawdWsEQUFjWLJkJYUKGTNmzEiSk5N15vnhh4MsXjyfPn0+ZsWK1Tg6OjFmzEhUKmWOtFu2hKOnp6ezrMj9kcyeO4dBAwYSuiEUFxdnhgwfilKZsyyAM2fPEhwygbb+/mzaGEq9evUIGh3En39mdgQTExPx9fUlYHjAa9fDd5GRzJg9m8GDBhERGoqriwuDhgxBoSOO02fOMDY4mHZt2xKxaRMN6tUjICiIa1nieOngDz9w7vx5ShQv/lqx5HWbABQr50DJqtX4+8wpbuzaTpJSgV3T5hgYG2tN/yI5mZizZ7i5ZxfXd2wl9toVSteuS5Eymh2D+Lt3uLJpg3q7+9MPucaRX84PgNDQ9HYZPXosy5atolChQowaNSLXdjl06CALF86nT59+rFy5BicnZ0aN0mwXV1c3goND2LAhjNmzvyEtLY2goBG8ePFCo6zvIyOZOXs2nwwaxObQUFxecY6eOXOGccHBtM9yjgZmO0ft7OyYMG4cWyMiWLd6NWVKl2bQkCE66ze/1AXAd5H7mTFnDoMHDiQidCOuzi4MGjpM9zV79ixjJ4TQzr8tEaGhGdfsKI36uH3nDr369aOcvT2rly9na3gYnwzoT0Ejo1zrY3N4KDt3bGV44CjmLViGsbExE4JH8+yZ7vr46adDLF+2iO49+rBoyUocHJwICR5NrEqlThMVdYGQ4DFUqlSF+QuWMX/hctr4t9d5/W7fGsbePdsZNGQE02ctxMjYmC8mj+fZs2c64zhy+EdWr1xK5669mP3NUuzLOfLF5HHExqbHkZSUyOeTx4KeHl9MmcW0GfN4/jyFKV9OJDU1VWuZ+eE7TAghhPiQfHAd9DZt2jBy5Mg3zpe9g/5Py8mv0tLS2LJlMz179qFWrTo4OjoRHDyZmJgYjhz5RWe+iIgwWrZsQ/PmrbC3L0dQ0FiMjY3Yt2+PRrpr164SHr6JsWMn6Cxrw8aNtG/bDv82/jg6OBASHIKxsTE7du3Umn5TWCg1qlend6/eOJRzYOjgIbi7uRG2OVydplXLVgwaMJBqVf1euy7WbdhAh/btaefvj6OjI5ND0uPYvmOH9rg3baJmjRp83Ls3jg4ODB86FA93d0LDwjTSPXz0iGnTpzN96lQKFHj15JT80CYAluW9iL1ymbhrV3kWG8v9X4+Q+vw5Zi7aR5qfPrjPk79u8SwulpQnT1BGXSRJqaRwyZIa6VJfvOBFYqJ6S82l4wD55/xIS0tj8+ZwevXqQ+3adXByciIkZDIKRQyHD+tul/DwTbRu3YaWLVtRrlw5Ro9Ob5e9ezPbpU2btvj6VsDa2hpXV1f69x/Eo0cPefDgvkZZ6zZs4KNs52ih1zhH+/bujUOWc3RTlnO0ZfPmVK9WDZuyZXFydGTMqFHEx8dz9dq1fF0XAOs2bqBDu3a082+Do4MDk0MmpF+zO7WfGxtCN1GzenU+7t0LR4dyDB8yBA83N0LDM7/j5y9aTO2aNRk1IhB3NzdsbWyoX7culhbaR4pf1seO7RF07d6TGjVq4+DgyNhxISgUCn779YjOfNu2bqZZ81Y0bdYCOzt7AgJHYWRkTGTkXnWaZUsW0rbdR3Tu0gN7+3LY2NhSt24DChYsqDWOPbu20bFTD/yq1cS+nCOBI8ehVMZw9A/dcezasYXGTVvQsFEzbGzt+WTICIyMjDh0IH1my+Woi/z96CEBI8ZiZ++Anb0DASPHcf3Pq5w/d1prHPnhO0wIIcS7l5aWli+3D9EbddC//fZbvL298fHxYfTo0Zw6dYqqVavi5eVFr169SEpKAsDe3p6QkBB8fHyoWbMmJ06coEGDBjg4OLB9+3YA1qxZQ4cOHWjYsCF2dnasXbuWzz77DG9vb5o0aaL+9d3e3p74+HgA9uzZQ58+fQDo06cPgYGBVKtWDWdnZ37++Wd1uaNHjwbgwYMHtGnTBh8fHypUqMC1a9d4/PgxDRo0oGLFivj6+nLw4EEAQkJCOHjwIL6+vqxcuVKjnBs3blCvXj28vb1p06aNesSpXr16jBs3jsqVK1O+fHkuXryos+527NhB1apVqVChAi1btiQ2Npa4uDicnZ3Vaf766y98fX0B2LlzJy4uLlSpUoV+/fqpY/mn7t+PRqlUUKlSZfU+ExMTPDw8iIq6oDVPSkoKV65c0cijr69PpUpVNPIkJSXx1VefMWLEKCwtLXWWdenyJfz8MjtK+vr6+FX149y5c1rznDt3Hr9sHavq1atz7rz29K8jJSWFqEuXqJYtjmp+fpzVEcfZc+eo7qcZR43q1TXSp6amEjxxIn1698bJ0fG1YsnrNsnIjLGlFQnR9zR2J0Tfo3DxEq/1OYpYl8bI1JSnDx5o7i9ljUvXHjh+1JFS1WtikMvIZH45PyCzXSpXrqLeZ2Jigru7Bxcv6m6Xq1evUKlSZh59fX0qV66iM09iYiL79u3B2ro0JUpk/rjxT8/Raq84R7PHu2XbNoqamODq4qI1DeR9XbwsL+rSZar5VdUor5pfVc6eO6+1vLPnc79mU1NT+eXIEeztbBk4ZCh1Gjaia69eHPrxR511AfDgwX2USiUVK2Ref0WKmODm5s6lXK7Za1evUrGi5jVboWIloqLS/5sRq1Jx+XIUZmbmjAgcTOeO/owOGs6FC9rb7+HD+6hUSnx8K2rE4ezizpXLUTrjuP7nVXx8MvPo6+vj7VuRK1fS86Q8T/8RzdDQUJ2mYMGC6Onpaf18+eI7TAghhPjAvHYH/fz588ydO5dffvmFs2fPMmHCBHr37s2CBQs4f/48RYoUYfHixer0Tk5OnD17Fg8PD0aOHMl3333Hd999x2effaZOExUVxe7duzly5AhDhw7F09OTc+fOYWlpyb59+14Zk1Kp5I8//mDZsmV88cUXOd4PCAigdevWnD17lj/++IPSpUtTqFAhdu7cyalTp/j+++8ZNWoUAFOmTKFRo0acOXOG/v375yhnyJAhnDt3jpo1a2p8BkNDQ06cOEFQUBBz5szRGWvdunU5evQop0+fpmnTpixatAhTU1NcXV05evQoAFu2bKFjx44kJiYSEBDADz/8wO+//87169dzrYfk5GQeP36ssWWfXvjyRwWLbKND5uYWOqe4xsXFkpr64pV5Fi2ah6enF7Vq1dEZoyo2lhcvcpZlaWGBQqHQmidGEYOFhWW29JY6078OlUrFixcvcoySWVpaEqMrjpiYHOmtsqVftXo1BgYG9Oja9bVjyes2AShgZIyevj7PExM19j9PTKRA4cI68+kbGuLWsw/uffph07gpD/74TaOTH3/3Dvd++Ym/vt/Lo+PHKFLKGtsmzUDHVNX8cn4A6vzm2e65tbCwQKnUXnZcnPb4zc1zxr99+1aaNGlAkyYNOHr0d+bOnafRIcrtHNVZF1rOUW3n9M+//ELVGjWo5OfH+g0bWL50Kebm5lrLhLyvC8g8Nyy1tHWMIkZrDDExCiwts1+zFur6UCqVPH36lFWr11CrRg2WL15Ew/r1GTF6DMdPntRaZnq+9Pxm2erMzNwCpZbp2QCP4+JITX2RI4+5uYV6Svf9+9EArF+3mubNWzNl2kycnF0YP3Yk9+7eyVHmy6nxpmbZ4jAz15g2n9WTx3GkpqZimj12M3NiM+JwcfXA2LgQ69asIDkpiaSkRNZ8u4zU1FRUWto7P3yHCSGEEB+a114k7scff6Rz586YmZkB6b94Jycnq0e8evbsycyZMwkKCgLSp4gDeHl5YWVlhZGREa6urkRHR6vLbNiwIYULF6Zw4cIULFhQI8+tW7deGVPbtm0BqFSpktb0hw8fJixjiqeRkRFGRkY8e/aMsWPHcuTIEQwMDLhy5Uqu9+wBHD9+nN27d6s/Z8uWLdXvtWvXTh3Dxo0bdZZx+/ZtOnbsyMOHD0lMTFTXW8eOHYmIiMDPz4+tW7eyZs0arly5gpubG2XLpt/T+9FHH/HXX3/pLHvatGl8/vnnGvs6derC5cuX1K+//npWrp/xn/r118OcOnWSFSvWvJPy/x9cjIpiw6ZNRISG5nqv5J59+/jsy6/Ur/+f2yQ1JYXrO7ahb1iAIqXLULJqNZ49ecLTjOnJj2/eUKdNVqlIUilx7tiFIqWsSbgfravYPLF/fySzZk1Xv54+/d20y0uNGzelcuWqKBQxhIWFMnnyRBYvXgYm2u/5f5uqVKnClrAwVLGxbN22jdFjx7Jx/Xp1537Pvn188VXmOZpndVEk57Tut+nlSrT169WlV4/0hRzdXF05c/Ycm7dspUqlSgD8cGg/876Zrc735VfTcxb2VuJJv7+7Rcs2NG3WAgAnJxfOnD5JZOQ+rMvYsnRR5pooIZOnvpM4TE3NGDNuMkuXfMPe3dvR09Ojdp0GODg6o6evz4EDkcyePUOd/v/5O0wIIcSbkVXc3593toq7UcZ0Vn19ffW/AY17BbLuz5pOX19fvVBQgQIF1IvTZB8VfpnewMBA68JC2mzcuJGEhAROnz5NgQIFsLKyemUHPbdO1+vGEBAQQEhICE2aNGHPnj2sWbMGSP+RYcqUKQQGBpKYmIiLiwunT+e81y83wcHB6h9GXrp79xEJCQnq1ykp6Z9RqVRiaWml3q9SKXFyckYbU1Mz9PUNcoyEqFRK9ejHqVMniY6+R6tWTTXSfPppCF5ePqxZtQoAczMzDAxylqVQKnVOX7SytMoxSqdQKv7VdEdzc3MMDAxyLC6lUCiw0hWHlVWO9DFZ0p86fRqlUknjFi3U77948YKZc+awfuNG9mfMBqlfty5l7TLrOq/a5LNmDdX7nicnkZaaSoFChTTSFihUiOdPn2qNQR3/k8cAJCuVGJmaYeXty20t9w+np33C88REDIsVAy0d9Lw8P2rVqoWHR+bq0SkpKUB6nVpZZbaLUqnE2Vn7dHBTU+3xq1Q54zcxMcHExAQbGxs8PcvTokUTDh/+mQ5t03+gzO0c1VkXWs5Rbed04UKFsLW1xdbWFh9vb1q2acP27dvp368fkH6O2jtkPUfzpi46+rdSp3l5bii0tLVVlutGsz4sUSiyX7NKdX2Ym5lRoIABjg4OGmkcypXj1Jkz6tfVqtfC1S3nuRGrUmlcs7Gq9JXqtSlmaoq+vkGOkW2VSqmemfBydkD2FextbO149Ogh/u264OLiniOOuFiVxiyS2FgV5Ry032JTtJgp+vr6xGWLIzZWpbFCu2/FyixdsYHHcXEYGBhQxMSEvj07ULKUNTVr1sLdPXMl/rz6Dtu8WXP9DyGEEOJD8tpT3Bs0aEB4eDhxcXFA+j18RkZGHD9+HEjv+Nap8/anotnZ2XHmzJn0xXl0LJCkS+3atVmV0UF89uwZCQkJPH78mJIlS1KgQAH27NmjnnJZtGhRnjx5orWcypUrs3XrVuCff87Hjx9TpkyZ9Ef0rFun3m9qaoqLiwvjxo2jQ4cOALi5uXH58mXu3bvHixcv2LZtW65lGxkZUaxYMY3N3NycsmXLqjd7+3JYWFhy6tQJdb6EhASioqLw8ND+qCJDQ0NcXV05dSpzymdqaionT55Q5+nWrSerVq1j5co16g1g6NAAxo8P0SjL3c2do8eOaZR17PgxvL29tR7f29uLY8ePaez74+hRvL20p38dhhmPl3p5W8HLOI4eO4aPjjh8vL3545hmHL//8Yc6feuWLdm2eTNbwsLUW4nixenbqxfLstz2UaRIkXzVJhmZSVLEUKR0GY3dRUqX5unfj7TGoJWeHnoGur9OChQugoGxsc5Of16eH4ULF6FsWRv19rJdTp7UbJdLl6Lw9NTdLi4urhp5XraLrjyQueDKs2cpGmVpO0f/eMU5ejSXc1SX1LQ0nqVkHjv9HM0/dfGyPA93N44eO65R3tFjx/Hx1v6IOB8vLdfs0aPq+jA0NMTTw5ObtzRnJt26/RelrUupXxcuXJgyZcqqNzs7eywsLDh9OvP6S0hI4PLlS7jncs06u7ho5ElNTeXM6VPqx86VLGWNpaUVd+/e1sh77+5dSpQoRaHChbEuXUa92djaYW5uwbmzp9Rpnz5N4NrVSxo/KGSPw9HJhXNZFntLTU3l/NnTuLrmzFPM1JQiJiacO3uauLhYqlatkXGt5LPvMCGEEOID89oj6OXLlycwMJCaNWtSoEABmjRpwpo1axg8eDBJSUn4+voyePDgtx7gpEmT6N+/P2ZmZvj5+ensRGszb948+vfvz4IFCzA0NCQsLIzu3bvTqlUrvLy8qFWrFra2tgB4e3uTkpKCr68vw4YN01iFe/78+fTt25cvvvhCvaDdm/r0009p3bo1FhYW1K1bV2PKeseOHenTpw9XrlwBoFChQnzzzTfUr18fU1NT3NzcKFas2BsfMys9PT06dOjE+vVrKVvWBmvr0qxatRwrKyuNe/yCgoZTq1Zd2rfvkBFbF6ZN+wpXVzfc3T3YsiWcpKQkmjdPH+GytLTUOqpXokRJrK1La+zr0b07kz/7FA8PD8p7ehIaGkpiYiL+rdNHDidOnkSJEiUIGDYcgK5dujFg4ADWbVhP7Vq1iIyMJCoqikkTJqrLjIuL48GDBzz6O/2Z3bf+uqWOK+uIX1a9evQgZPJkPD08KF++PBsy4mjr7w9A8MSJlChRgpEB6Y/m6tG1K30HDGDNunXUqV2b7yIjuRgVxWeTJgFgZmamvvXjpZezM8rZ2+e7NlGd0dyvuHCe0rXrkhjzN4l//42lZ3n0CxgSe/UqAKXr1ON5QgKPTqZ3kCy9fUiKieHZk8fo6RtgYmODmZMz939LXz1ar0ABileoyJNbt3ie+JSCRYtRokpVnj1+TMK9uzrrI7+cH3p6enTq1Jm1a9dktIs1K1euwNLSitq1M9slMHAYderU5aOPOgLQuXNXpk79Ejc3N9zdPYmICCMxMYkWLdLbJTr6HocOHaRqVT/MzMx49OgRGzeux8jIiOrVq2vEkPUc9SpfnvXZztEJGefoiGzn6Np166hduzbfZ5yjn2aco08TE1mxciX16taluJUVqthYwjZv5tGjRzRp3Fhnm+SHugDo1b0HIZ9+iqeHO+U9s1yzGbdFBU+aTIkSxRk5PP3c6NEt45pdv546tWrxXeT+9Gt2Ymbnrm+vnoweH0zlihWoWrkKR377jZ9/Oczq5ctyrY+27TqyKXQdZcqUpZS1NWvXrMLS0pIaNTOfsT5uzAhq1KyNf9uPAGj/USdmzZiGi4srrq7ubN8eQVJSIk2atlCX26FTF9avXY2DgxMOjk4cPPA9d+78xcTJOddX0dPTo1Wb9kSEb8S6dFlKlixF6IbVWFhY4VctM47JIaOpVr0WLVq1BaBN2w7MnzsdRycXnF3c2LNzK0lJSTRslDlSfejg95Qta0sxUzOuXL7IqhWLaO3/kdbnvOeH/64IIYR4P1JTZYr7+/JGU9z79++fYwG1Y9lGKQCN+8GHDRum8V5MTPqiPi9XY8++H2D8+PHqf9erV4+rGR2FcHEY3QABAABJREFUrF5OEYf0aZIvj5m1XGtra/bu3Ut2f/zxR459AD/8oP05zQ4ODupV4rP66aef1P8uX768xuvs2rZtq75nPrvevXvTu3dvjX2NGzemXbt2vHjxgvbt21OxYkWted9E1649SEpKYtas6cTHx+Pl5c2MGXM0bjW4d+8ecXGx6tcNGjQiNjaW1atXoFSmT1ucMWNOjgV+XkfTJk1RqVQsWboEhUKBq4srixYsVP8h9uDBA/T1M0dhfX18mDplCosWL2bhooXY2tgyZ9YcnJwyp5L+/MvPfPr5Z+rX4ycEAzBowEA+GfSJ1jiaN02PY+GSJcQoFLi5urJ00SL19Nf72eKo4OvL9KlTWbBoEfMWLsTO1pb5c+bg7KR9SuubyOs2gfT7xQ2MjSlesRIFChUmWang9v7veJGUvnCcYZEikOXWFP0ChpSqXhPDIkVIe/Gc5Ng47v38Y+Z952lpGJtbYubkgkHBgqQ8fUpC9F0enTxJmo5nKUP+OT8AunXrQWJiIjNnfq1ul1mz5mq0S3T0PfWMIoCGDRsRG6ti1aqVKJUKnJycmTVrrrpdChYsyLlzZ4mICOfJkydYWFjg4+PLkiXLcyzC1qxpU5QqFYtyOUf1staFry9fT53Kwizn6Lws56iBvj43b91i1+7dqGJjMTM1xdPTk7XffvvKpw7kdV0ANG/aJOOaXZpRHy4sXbgg2zWbeStSBR8fpk+ZwoLFS5i3cFHGNTtb45pt1KABkydMYOXq1UybOQt7OzvmzpxBxQoVcq2PTp27kZSUxLxvZhEfH49neS+mTJtFwYKZ9XH/fjSPH2fWR716DYmLjWXd2m9RqZQ4ODoxZeosjc/avn0nUp49Y+nSBTx58gQHB0emTZ9D6dJleJqkOasAoN1HXUhKSmLJwjkkJMTj7uHFpM+naTyW7cEDzThq1a7P47g4wjauQaVKnw4/+fOvNaa437t7hw1rVxIf/4TiJUrSoVN32vh30Fkf+eE7TAghhPiQ6KV9qA+Q+z83c+ZMNm7cSHJyMo0aNWL+/Pm53guf3f37/24l67fF9D0sfPU6DA1ev+7epZi4xFcnesdU3+V+y8T7Yt+xW16HAEB8YvKrE70HZvnkWomNT8rrEDB/x4vEva57ioRXJ3oPtHXQ84J50UKvTvQeWFvLY9eEEOJ9Oxule8HqvOTjYZfXIbx172yRuP+q1atXM2/ePI19HTt2JCTkze6bGzNmDGPGjHmboQkhhBBCCCHEG5Mh3fdHOuhvWd++fenbt29ehyGEEEIIIYQQ4v/Ma6/iLoQQQgghhBBCiP+xd9dhUWX/A8ffDiIgSKuIdKcJKnav3d2ta2D3quvu2t3dIih2txu6dhd2g8EEnQ6/P8CBgRl0v+4Ku7/zep77PM7MOed+5txzr5w55577zxEj6IIgCIIgCIIgCIJWSjHH/ZsRI+iCIAiCIAiCIAiCkA+IDrogCIIgCIIgCIIg5ANiirsgCIIgCIIgCIKglVIpprh/K2IEXRAEQRAEQRAEQRDyAdFBFwRBEARBEARBEIR8QExxFwRBEARBEARBELRKE6u4fzNiBF0QBEEQBEEQBEEQ8gHRQRcEQRAEQRAEQRCEfEBMcf+P0pNH5HUIAEiMHfM6BADeRMbkdQgAWJgUzusQiKnROK9DAECST34eLCR/l9chABCvWzKvQwCgYGR4XofA2+TieR0CACVN9PI6hHSWRnkdAQDR8Sl5HQIAN+6+yOsQACjjbZ/XIQiCIHwzYhH3byef/IksCIIgCIIgCIIgCP+/iQ66IAiCIAiCIAiCIOQDYoq7IAiCIAiCIAiCoJVYxf3bESPogiAIgiAIgiAIgpAPiA66IAiCIAiCIAiCIOQDYoq7IAiCIAiCIAiCoJVSTHH/ZsQIuiAIgiAIgiAIgiDkA6KDLgiCIAiCIAiCIAj5gJjiLgiCIAiCIAiCIGilVIop7t+KGEEXBEEQBEEQBEEQhHxAdNAFQRAEQRAEQRAEIR8QU9z/H9l5+AhBe/chUyhwcXBgRJ/eeLu5akz79OVL1gSHEPbkKW8/fGBor550aNpELU3LfgN4++FDjrytGjRgdP++GssN2b6dTZs3EymV4ubmxrgxY/D18dEa8/ETJ1i2YgXh4eHY2dkxLDCQalWrApCSksLS5cs5e+4cr1+/poiRERUrVmRoYCDFihbNtS7S0tLYvGk9R48cIDY2Fi9vXwIDR1DSxjbXfPv37WZnaAgymQwnZ2cGDhqKh4eXWpp79+6wccMawsLuoyOR4OTswvQZ89DT08u17M9JS0tj1epV7Nm7h9jYWEqXKs24seOws7P7qnI/lR20dQPHjx4iLi4WTy8fBg4ajnVJm1zzHTqwh927tiOXy3B0dKb/94G4uXuqPpfLZKxft5IbN66QEJ9ASRtb2rXvTJWqNTSWlx/aR+ihwwTt2YNUrsDV0YGR/fri7eamMe3Tly9ZFbSNB0+eEPH+A8N696Jj82Y50r2XSlm2cTN/XrtGUlISNiWsmBQYiKeri9Y4IP24rF6zin379hIbG0sp31KMGfP5Yx66cwdBW7cilUlxdXFl5MjReHt7qz7fs3c3x48dI+zBA+Lj4zh54jRFihTRWFZ+uG58qotNG9dx+PABYmNj8PbxZejQUdh85pzdt3cXO3YEI5PJcHZ2ZvCQ4Wrn7IgRg7l184ZaniZNmjNs+GiN5QWHhrJhaxCRUinurq5MGDUS3yx1m92xk6dYumoVbyIisLe1ZfjgQVSvUkX1eXx8PAuWLeP0b7+hiIqmpHUJOrdrT/vWrXL9XsHbt7NhU/q54u7mxoSxuZ8rx06cYOnyFbwJD8fezo7hgYFUr1ZV9fnEyVPYd+CAWp4qlQNYtWxZrnGkpaWxdu1q9h/YR0xMLKVKlWL0qDHY2ubeRnftCiVoWxAymRQXF1dGDB+Jl1d6PUZHR7F27RouXbrI23fvMDMzpVq1GvTr2x8jIyONMYSGbObUiSPExcfi7uFNn36BlLAuqXX/9+7e4sC+UJ49eYRcLmPU2Cn4V6yilubihbOcPHaQp08eERsbw6x5K3BwdM71ewmCIPxXiUXcv53/lyPoGzdu5P3796rXjRo1IiEhQWv6/fv3s2DBAgD27t3Lw4cP//EY/24nz55j8YaN9G7fjo3z5uDqYM/wn35GpojSmD4xKRnr4sUZ2LULFmamGtOsnzOLg+vXqrZFP04GoE6VAI3pjx47xtz58+nfrx8h27bh7urK94MGIZXJNKa/cfMm4yZMoGXz5mzfto1aNWsybMQIHj1+nB5jYiJhYWH069OH7du2MX/uXJ6/eMHQYcM+Wx87tm9j395dDBk6kkVLVqGvr8+E8aNITk7SmufXX0+xetUyOnfpwbIVa3FycmHi+FEo5HJVmnv37jBx/GjKl/dn8ZJVLF66mmbNW1GgQIHPxvQ5mzZvImR7COPHjWfj+o3oG+gzJHAISUnaY/5Su3aGcHD/bgYOHs7cBcvR19dn8qQxJCcna83zx2+nWbtmBR07dWfhktU4OjkzedIYFIrM+pg/bwZv3rxi0uRpLF2+jsqVqzF75k88efIoR3n5oX2c+OMsi9atp3eHDmxaMB8XBweGTpmKTKHQmD4xKYmSVlYM7NYNCzMzjWmiY2PpN3YcOgV1WDhlEiFLlxDYqydFjAy1xvHJli2b2bFjO2PHjmfd2g3oGxgwdFjux/zEieMsWrSQ3n36sGnTFlxcXRk6bAiyLPWYmJhIpYAAevTokev+88N145PtIUHs2bOTocNGsXTpavT1DRg3bkSu5+yZM6dYuXIpXbv1ZOXKdTg5uzBu7AjkWc5ZgEaNm7IjdJ9q69tvoMbyjpw4weyFi/i+T29CN2/C3dWF/oFDtbbR67duMWbSJFo2a0rols3UrlGdwNFjePTkiSrN7IULOXv+AjOmTmX/9hC6dujA9LlzOfP771q/15Fjx5g9bz7f9+9H6LZtuLu50n+g9nPl+o2bjBk/gZYtmhMavI3aNWsSmOVc+aRq5cr8euK4aps9Y4bWGD7ZGrSF0J07GD16LGvXrENfX5/hI4bm2kZPnjzB4iWL6NWrNxvWb8LFxYXhI4Yik6fH/yEyksjIDwweHMjWLduYOHEyFy+eZ/qMXzSWt3/PDo4c2kufAYFMm7kYfT19pv88PtfrV1JSIvYOTvTqO1h7msRE3D196NS1z2frQRAEQRD+LqKDDhw+fBgDAwOt6Zs1a8bw4cOBf28HPXj/AZrVq0uTOrVxtLVlzID+6OnpcfDUKY3pvVxdGNKjO/WqVUW3oK7GNGYmJliYmam2c1euUtLKirJaRpO2BAXRqmVLWjRvjrOTEz9MnIi+vj579+3TmD5o2zYqBwTQo3t3nJycGDxwIJ4eHoRs3w5AkSJFWLViBd/Vr4+DgwOlSpVi/Nix3Lt/n4iICK11kZaWxt49oXTs3JXKlavh5OTMmLETkUql/HnurNZ8u3ftoEHDJnzXoBH29g4EDh2Jnp4+x44dUqVZtWIpLVq2pn2HLjg4OGJra0eNGrUpVKiQ1nK/RFpaGsEhwfTu1ZuaNWri6urKTz/+xIfID/z6269fXfb+vTtp16ErlQKq4ujozPCR45FJI7lwXnt97N0TyncNGlO3fkPs7BwYOHgEenr6nDh+RJUm7P4dmjRtiZu7J1YlrGnfsSuGhkY8fpTzHMoP7SN43z6a169P07p1cLKzZdzA79HX0+PASW3niSuBPXtQv3o1CulqnpC0ZdduillaMnloIN5ublhbFadS2bLYlCihtW4h/biEbA+mZ89e1KheA1dXV36cMpXIyEh++/03rfmCg7fRvHkLmjZphpOjE+PGjkdfX58DB/er0nTs0Inu3Xrg4+2bawz54brxqS527w6lc5duVKlSDSdnF8aO/QFppJRzZ//Qmm/XzhAaNWpKgwaNsXdwZNiw0ejp6XP06EG1dPp6+pibW6g2Q0PNP55s3hZMmxbNadm0Kc5OTkweNw59fX32ZBt5/mRryHaqVKpEr65dcXZ0ZMiAAXh5uLNtR6gqzY1bt2neuBEVypenpLU1bVu2xN3Vhdt372n9Xpu3BtGmVUtaNm+Os7MTkzPOlT17NZ8rW4O3UaVyAL26d8fZyYkhgwbi5enBtpDtaukKFSqEpaWlajMxNtYaA6Qflx07QujRvSfVq9XAxcWVyZN+JDIykt//0N5GQ7YH06xpc5o0boqjoxNjRo9DT0+fgwfT69HZyZnp02dRtWo1bGxs8CvvR/9+33Pu3FlSU1NzxHD44B5atemEf4XK2Ds4MShwDHKZlMuXzmmNoWy5CnTo1JMKlapqTVO9Zl3atOuCb+myudaDIAiCIPyd/lMd9CZNmlC+fHl8fHwICgoCYP369ZQqVYrSpUszatQo9uzZw5UrV2jTpg1+fn4AODg4EBsby9ixY1m/fr2qvF69erFnzx42btzIqFGjuHjxIvv37ycwMJAyZcpw6dIlKleurEp/6tQp2rRp85fi07bPuLg4WrZsiZeXFz179sTe3p7Y2Nj/qV5SUlJ48OQJ/qVLqd6TSCT4lyrFnQd/z48NKSkpHPvtd5rUqa1xtDglJYX79+9TqWJFtRgqVazIrVu3NJZ56/ZttfQAlQMCtKYHiI2NpUCBAlqn6wK8fRuBTCajXFk/1XuGhkZ4eHhy/94drd/v0cOHlCuXmUcikVC2XHnu3bsLgEIuJyzsHqamZgwb+j3t2zZn1Igh3LmjPd4v9Sb8DVKplAoVKqjeMzIywsfbh9u3b39V2e/eRiCXyyhTprzqPUNDI9zcPQm7f1djnpSUFB4/fkjpLHkkEgllypTjQVhmHg9PH/74/QwxMdEolUp+/+00ycnJ+JYqk6O8vG4fKSkphD1+QoUy2c6T0qW5HfZAa5mf8/ulS3i6uDB+5mwadO1O16HD2Xvs+GfzhX865v7qx9zb25vbtzV/x5SUFMIehKnlkUgk+PtX+MvtJD9cNz6JiAhHJpNSrpy/6j0jIyM8Pb24l8s5+1DDOVuunJ/qnP3k1KkTtGrZmD69u7J27UoSExM1lncvLIxK2eq2kr8/N7XU7c3btwmo4K/2XuVKldTSlynly5nf/+Dd+/ekpaVx6coVnr98ReVsbVstDi3nyk0tbf/mrdsEaDhXsqe/fOUK1WvXoUmLlvw0bToKLTNHPgkPD0cqleLnp95Gvby8uXNHc52kpKTw4EEYftnbqJ+/1jyQfu4aGhpSsKD6D2Hv371FoZDhW7qc6r3Choa4uHrw6MH9XOMXBEEQvpwyLS1fbv9F/6l70Ddv3oy5uTlxcXH4+/vj4+PDggUL+OOPPzA1NUUmk2Fubo6fnx9Lly7FJ9v9em3btmXSpEn06tWL1NRUTp06xfLlywkJCQGgYsWKNGvWjDZt2tCkSfp9lbq6ujx8+BA3Nzc2b95M9+7dvzi+Nm3aaN3n4sWLsbe3Z8+ePZw8eZKNGzdqLTcpKSnHdMKk5GT0MkZtFTExfFQqMTcxVUtjbmrCizdvvrR6c/XbpUvExsXRuHYtjZ/LFQo+fvyIhbm52vsW5uY8e/5cY57IyEgsLCzU01tYECmVakyflJTEwkWLaNiggcb7FD+RydLzm2abkmxqZq6aYplddFQUSuXHHHnMzMx59eolkN6JANiyeQN9+w3E2cWFkyeOMW7McFat3vjZ+9tzI834zhbm6vVhbm6u+ux/Jc/4zjnqw9RM9Vl20dFRKJVKzDTkeZ1RHwBjx09h9sypdGrfHB0dHfT09Jkw6Sess90bmh/ahyI64zwxNVV7P/08ea2xzC8R/vYdu48cpWPzZvRo24Z7jx4xf81adAsWpHGd2lrzfTqu5jmOuQUyLd9RkVGP5tnq0dzMnBda6lGb/HDd+ORTO8zR3szMtJ6zURnnrJmZel2kn7MvVK9r165H8eJWWFhY8uzpE9asWcHrVy/5cep09Rhya6MvXqBJpFSaI72luTmRsszjN2HUKH6cPoM6TZpSUEeHAhIJP06YgF85zaO2crmWOCw+c65ka0eW2c6VKpUrU7d2bUqWtObV69csWrKUAYOHELRpIzo6OhrL/XQtzdHezM2RSTUfF61t1NycFy8116NCoWDDxvU0a9ZCw2fp+zHJ1k5NTM3Ubj8SBEEQhH+L/1QHfcGCBezfnz6N8+XLl/z666+0b98e04w/uLP/QZCdn58fT58+RS6Xc+nSJapUqYK+vn6ueXr06MHmzZsZP348Z8+eZd26dV8c38uXL7Xu888//2Ts2LEA1K1bN9fYZ8yYwdSpU9XeGzPwe8YO0nwf5T/h4MlTVCpXlqKfqeN/SkpKCqPHjiUNmDh+vNpnhw4f5qdfpqle//zLrH8kBmWaEoBGjZvxXYNGALi4uHHj+lWOHTtMr979v7isI0ePMH1GZgdh4YKFf1ucv545wbIl81WvJ0/9/H2m/6ugLeuJi43ll+lzMTY24cL5c8yeMZWZsxdjZ/Xtpo3m1j7+acq0NDxdnBnYrSsA7s5OPH35kt1Hj6l10I8ePcLMWZnHYv68Bd80zryg7bpx6uRxFiyYo3o9bfrsfyyGJk2aq/7t5OSMuYUFo0cNJTz8DVbuDv/Yfj8J2rGDW3fusHTeXEpYWXH1+g2mzZlDsaKWBGSZMfNPa9TgO9W/3VxdcXN1pWHTZly+ckU1Wn/s2FFmz5mpSjd3zvwc5fzd4uJiGTV6BI6OjvTp3Zdjx44yc3bmeTJuoub70gVBEATh3+o/00E/c+YM586d4+LFi+jr6+Pn5/c/LczVokUL9u7dy59//knbtm0/m75t27ZUrFgRNzc3mjVrlmP6XW7xfRr11rTPtL8wZWP8+PGMGDFC7b24p5mL/5gWKYKORIIsSqGWRqaIwiLbaOH/IuL9ey7fus2MMZpXPQYwMzVFR0cnxyJGUpkMy2yjoJ9YWlrmGB2WSqU50qekpDB63DgiIiJYs2pVjtHRmjVqYGXjpJYe0qekW1hYqt5XyGU4O2teVdvYxASJRCfHiIxcLlON0H0aobK3d1BLY2tnz/v37zSWq031atXx8c6c4fFpsSOpTIqlZWbMMpkMNy0rjGtToWIV3NwzV7FOSUkvWyGXq43WKhRynJy01IexCRKJJMdiWwqFHLOMzlZExBsOHtjD0hXrsbd3BMDRyYW7d29x6OBeqgdkdtDzsn18YmqccZ5km9YrU0Rhbqp5AbgvYWlmhqOt+uwJBxsbzvx5Xu29atWq453lmH86LrIcx1yKq6vmY26aUY+ybPUok8sw11KP2uTldSOgclU8PHO2UXmOc1au9Zw1yThns88CkctlmJlrr4tPK7y/efOaclk66Lm3Uc0/TFpaWORIHymTYZmx/8TERBYtX8Gi2bOokfH0AXdXV8IePmTj1iCNHXQzMy1xSD9zrsjUz5VIDedKVrY2NpiZmvLy1StVB71q1WpqTwNITk6/lspkshzXJVdXzSv9a22jGTPcsoqLi2P4iGEULlyYGdNnUbBgQapWrcbs4pkrxH+6nkdFKdSOa5RCLlZcFwRB+Bv9lb6J8HX+M/egR0dHY2Fhgb6+Pjdu3ODmzZvUrl2b7du3ExWVvuLwpz8IihQpQkxMjMZy2rZtS3BwMCdPnqRhw4Y5Ps+e18jIiAoVKjBu3Lhcp7drii+3fVauXJnQ0PSFhE6fPp3jj5ms9PT0MDY2Vtv0sixKpquri7uzM1duZd7fp1QquXL7Fj7uf61zp8mh02cwMzGmsl95rWl0dXXx9PTk4qVLajFcvHSJUqVKacxTytdXLT3AhYsX1dJ/6ny9fPmSVStXqmZLZGVoaEjJkjaqzd7eAXNzc65fv6pKExcXR1jYfTy9ND+mSFdXF1c3N7U8SqWSG9evqR4NVNyqBBYWlrx+/VIt75vXrylWzEpLzWhmaGiIra2tanNycsLCwoLLly+r0sTGxnLn7h18fXNf6Cu7woULY21dUrXZ2TlgZmbOzZvXVGni4+N4+OA+Hp6aF+7S1dXFxcWNW1nyKJVKbt64hrtHep6kxPQfoCQF1C8zEomEtIzZBlnLy6v2kTUGDxdnLt/MvC9XqVRy+dYtfD3cteb7nFKeHjmmhL8MD8eqmPqj3rIfc0dHDcc8Lpa7d+/i66u5TnR1dfFw91DLo1QquXz58l9uJ3l53ShcuHC2c9YRc3MLrl+7okoTFxfH/fv38MrlnHVzc+NatnP2+vWrqnNWk09PGMg+JVxXVxcvDw8uZqvbi1cuU1pL3Zb29eXC5Stq752/eEmVPjU1ldTUVCQS9XNER0eimpGj6Xt5eXpy8WLOc6W0lnOldClfLmQ7V85fuKg1PcDbd+9QREVR1DKznRoaGmJjY6vaHB0dsbCw4MrVzDqJi4vl3r27+PhorhNdXV3c3T24ekW9Hq9cvayWJy4ulmHDA9HV1WX2rLmqx1QaGhpiVaKkarOxtcfU1Jzbt66r8sbHx/H4URiuWR75KAiCIAj/Fv+ZDnqDBg2IiYnBy8uLadOmUb58+h99Q4cOpUqVKpQpU4aZM9On5vXo0YMePXqoFonLys/Pj8ePHxMQEKBxenuHDh34+eefKVOmjGol+A4dOmBpaUmZMmX+cnza9jlo0CCePHmCt7c3W7dupWTJkrmuNP85HZs1Zf+Jkxw6fYbnr14ze9VqEhOTaJIxxXbqosUs37JVlT4lJYWHz57x8NkzUlNT+SCV8vDZM15lW/1aqVRy6PRpGtWsSUEt9yl+0rVzZ3bv2cP+Awd4+vQpv0yfTkJCAi2apT83euKkSSxaskSVvnOnTvx5/jybtmzh2bNnrFi5krv37tGhfXtVjKPGjOHevXvMmDYN5cePREZGEhkZqRpV0aRAgQK0aNmW4G2bOf/nWZ49e8Kc2dOwsLCgcpXMFX3Hjh7Gvr27VK9btW7HkcMHOXH8CC9fPGfJ4nkkJiZQ/7tGqnLbtOvA3j27+OP3X3nz5jWbNq7l1asXNGjYONe6+ZwCBQrQsUNH1q1fx2+//8bjx4+Z8uMUiloWpWaNml9ddrMWbdgesoWLF87x/NlT5s+dgbmFJZUCsjwnefwIDh7Yo3rdomVbjh09yKmTR3n18gXLly0gMSmRuvUaAGBja0cJ65IsWzKfhw/uExHxhj27d3Dj+lW1cj/JD+2jY/Pm7Dt+gkOnTvPs1StmrUhfMKxJnToA/LhgIcs2bVGlT0lJ4eHTpzx8+pSU1FQ+yGQ8fPqUV+ERWcpsxp0HD9m4I5RX4REc++039h47TptGjT57XDq078iGjev5PeOYT536I5aWltSonvkc+UGDvyc0dEfm/jp2Yt/+vRw6dJBnz54xa/ZMEhMTaNK4qSqNVBrJw4cPeP36FQCPnzzm4cMHqh8zVWXlg+vGp7po1aotQUGb+PPPszx9+oRZM3/BwtKCKlWrqdKNHjWUvVnO2dZtOnD40AGOHzvCixfPWbRwLomJCTT4Lv18DA9/w9YtG3n4MIy3byP488+zzJr5C6VKlcFJw8h8t04d2blvH/sOHuLJs2f8PGsWCQmJtMhYk2T8lB9ZkOW54V06tOfc+fNsDAri6fPnLFu9hrv379OpXfpMKSMjI/zKlWPe4iVcunqV12/C2XvwIPsPH6FOLud1ty6d2blnD/v2H+DJ06f8/OlcaZ5+roz/YRILFmeeK106duLcn+fZuHkLT589Y1nGudKpQ/q5Eh8fz9wFC7h56xZvwsO5cPEigcOHY2drS5XK2h9/V6BAAdq168CmTRv444/fefLkMT/9PBVLS0uqV8tso0MCB7FzZ+bK9R3ad2T/gX0cPnyI58+fMWfurPTzrHF6PcbFxTJsWCCJiYmMHzeRuLg4pFIpUqmUjx8/5oihUZOW7Nm5jSuXzvPyxTOWLZ6NmbkF/hUyn2v+85QxHD2cucp9YkICz5894fmz9EfevX//lufPnhD5IfMJL7Ex0Tx/9oQ3GetqhL95xfNnT1BoWfdAEARBEP4O/5kp7np6ehw9ejTH+z4+PvTpo/4M09atW9O6dWvV6+fZFtZ5+vSp2uuszwquUqUK9+6pP/7m/Pnz9O7d+3+KT9s+9fX12bFjB3p6ely6dInbt29rXajnS9StWgV5dBRrQ0KQyhW4OjqyYPIPqgWx3n2IRJLlloBIuZzuI0apXm/bt59t+/ZT1tub5b/8pHr/8q1bvP0QqerA5KbBd98hl8tZvmIFkVIp7u7uLF+6VLXQ19u3b9VGksqULs2MadNYunw5S5Yuxc7OjoXz5+Pqkv6H8/sPH/j1t/RH+bTr0EFtX2tXr8Zfww8wn7Rr3yl9eunCucTGxuLt48u0GXMpVEhPlSYiIpzo6MwOS82adYhSKNi8aT1yuQwnZxemTZ+rtghVq1btSElOZuXKJcTExODk5MyMWfNzLIr2v+jerTuJiYlMnz6dmNgYypQuw+JFi1UjS1+jdZsOJCYmsHTJPOJiY/Hy9mXqT7PUHg/3NiKc6CwduGo1ahMVHUXQlo3p9eHkzNSfZqnqo2DBgvw4dSYbN6zm56kTSUhIoIS1NcNGjMPPv1KOGPJD+6hXrSqKqChWbwtGKpfj5uTIwh+nqJ7p/e7DB7Xz5INMRtdhmbeXBO3ZS9CevZTz8WbF9PR1D7xcXZk9YRzLN29h3fYdWBcvzvA+vWlQswaf07VrNxISE5gxczqxsbGULlWaRQvVj/mb12/UVtuuV68+CoWC1WtWIZVKcXN1Y+GCxWoL6u3evZu169aoXg8Y0A+AST9MplH50qr388N145P2HTqTmJjIgvmziY2NxcfXl5kz5qmds+Hhb4jKMiW/Vq06REUp2LhxLfKMW1hmzJynug2jYMGCXLt2hV27dpCYmEixYsWoVq0mnbtong3VsF495HIFS1evJlIqxcPNjZWLFqqmike8e6fWRsuWKsWsn39mycqVLFq+AntbWxbPmY2rc+bU67m//MLC5csYN3kKUdHRWFtZEThgAO1bt9JaFw0zzpWlGeeKh7s7K5ctzYwj27lStkxpZk2fxpJly1m0dCn2dnYsznKuSCQSHj56xP4DB4mOiaFY0aJUDqjE4IEDP/uIyC6du5KYkMCs2TOIjY2lVKnSzJ+3SL2NvnmDIstxqVu3HgqFgjVrV6tu2Zg/b6HqFpsHDx5wN2Ol/XbtW6vtb9fOPSBRfwxes5btSEpKZPXKhcTHxeLu6cP4SdPVYn/3NoKYLNfzJ08e8tPkzNsrNm9YBUCNWvUYOCT9/SuXL7Bi6VxVmkXz09cFadOuC207dMu1XgRBEP5rlEoxxf1bKZAmbij4Kg0bNiQyMpIzZ87kunL4X6VQKKhTpw6pqano6uqyYsUK/P39P58xg0zLo4e+tcIZ9x7ntbfS/+0RdX83C5PCeR0CEZGab+/41uysTPI6BAASs92SkGeKff2POH8HZUTe10eccfG8DgEAqyKan+X+zenmjzii47XPTPqWXr2L+nyib6CMt31ehyAIgvDNnD4fltchaFQ7wCOvQ/jb/WdG0PPKkSNHcrxXsWLFHI89O3XqVI5HQuXG1NSUq1evfj6hIAiCIAiCIAiC8J8gOuj/gIsXL+Z1CIIgCIIgCIIgCH8LMcP92/nPLBInCIIgCIIgCIIgCP9mooMuCIIgCIIgCIIgCPmAmOIuCIIgCIIgCIIgaCXWFf92xAi6IAiCIAiCIAiCIOQDooMuCIIgCIIgCIIgCPmAmOIuCIIgCIIgCIIgaKUUU9y/GTGCLgiCIAiCIAiCIAj5gOigC4IgCIIgCIIgCEI+IKa4C4IgCIIgCIIgCFqJGe7fjhhBFwRBEARBEARBEIR8QIyg/0cVtnfM6xAAePM+Oq9DAKBkMeO8DgGA6LikvA6B4mlxeR0CAEcvROZ1CABYGBvkdQgAWJzbntchAODSsnVeh0DYM1lehwBAcophXocAwEdlfF6HAEBkVP6Iw8/RPK9DAOD5y3d5HQIOdsXzOgRBEAThbyY66IIgCIIgCIIgCIJWSqWY4/6tiCnugiAIgiAIgiAIgpAPiA66IAiCIAiCIAiCIOQDYoq7IAiCIAiCIAiCoJVSLOP+zYgRdEEQBEEQBEEQBEHIB0QHXRAEQRAEQRAEQRAyyGQyOnfujLGxMaampvTu3ZvY2Nhc0w8ZMgR3d3cMDAyws7MjMDCQqKiov7xvMcVdEARBEARBEARB0Or/2wz3zp07ExERwYkTJ0hJSaFnz57069ePbdu2aUwfHh5OeHg4c+fOxcvLixcvXjBgwADCw8PZuXPnX9q36KALgiAIgiAIgiAIAnD//n2OHj3K5cuX8fPzA2DJkiU0atSIuXPnYm1tnSOPj48Pu3btUr12dnZm2rRpdOnShdTUVAoW/PJut5jiLgiCIAiCIAiCIPzrJCUlER0drbYlJSV9VZnnz5/H1NRU1TkHqFu3LhKJhIsXL35xOVFRURgbG/+lzjmIDrogCIIgCIIgCIKQC2VaWr7cZsyYgYmJido2Y8aMr/qub9++pVixYmrvFSxYEHNzc96+fftFZURGRvLzzz/Tr1+/v7x/0UEXBEEQBEEQBEEQ/nXGjx9PVFSU2jZ+/HiNaceNG0eBAgVy3cLCwr46pujoaBo3boyXlxc//vjjX84v7kH/fyRk+3Y2bd5MpFSKm5sb48aMwdfHR2v64ydOsGzFCsLDw7Gzs2NYYCDVqlYFICUlhaXLl3P23Dlev35NESMjKlasyNDAQIoVLZprHGlpaWzdsoGjRw4SFxeLl5cPg4aMoGRJm1zzHdi/h107Q5DLZTg6ufD9wEDc3T0BePc2gp49OmrMN37Cj3Ro0yzf1sW6dWs4cGA/sbEx+PqWYuTIMdja2uaab/funQQHByGTyXB2dmHYsBF4eXmrPp8zZyZXrlwhMvIDBgaF8fX1ZcCAgdjbO2gsL/TgQbbu2o1ULsfV0ZFRA/rj7e6uMe2TFy9YvTWIsMePiXj/nuF9+9KxRXO1NKuDgli7LVjtPXsbG0JXrfxsfZw4uJ1L506RkBCHg5MHLTv2xbJYCa15zhzdw50bF3n/7g26uoWwd3KnUcvOFC1eUpXm4tkT3Lh8ljevnpGUmMCPczdiUNgw1zj27QrijzPHiI+Pw8XNky49B1LcqqTWPA/D7nD00C5ePHtClELGoGETKesXoJZm/aoF/PnHKbX3vH3LMXzsTznKM/P0wsKnFAUNDEiSy4g4/yeJkR807ruIvQOWpctQqIgxBSQSkqOjkd65RdSTx6o01tVqYOrqppYv9vUrXh4/qvU7AQTv3MnGrUFEymS4u7gwfuQIfL29taY/duoUS1evJjziLXa2NgwfNIjqlSurPo+UyliwbBnnL10iJiaG8mXLMH7ESOztcm/zaWlp7N25ld9OHyM+Lg5Xd0+69hqEVQntx+TB/TscObiLF08fo1DIGDLiB8r5B2hNv2ntUn49dYSOXftSv1ELrXF86+tX5ao1NMYRtHUDx48eIi4uFk8vHwYOGo71Z+I4dGAPu3dtT4/D0Zn+3wfilhEHgFwmY/26ldy4cYWE+ARK2tjSrn1nqmiI4VMceX1c8lMb3bxpPUePHCA2NhYvb18CA0dQ0ib3fPv37WZnaAgymQwnZ2cGDhqKh4eXWpp79+6wccMawsLuoyOR4OTswvQZ83ItVxAE4f8DPT099PT0vijtyJEj6dGjR65pnJycsLKy4v3792rvp6amIpPJsLKyyjV/TEwMDRo0oEiRIuzZswddXd0vii0rMYIOKBQKVq9erXr966+/0qZNmzyM6O939Ngx5s6fT/9+/QjZtg13V1e+HzQIqUymMf2NmzcZN2ECLZs3Z/u2bdSqWZNhI0bw6HH6H/yJiYmEhYXRr08ftm/bxvy5c3n+4gVDhw37bCw7Q4PZv28XgwNHsGDhCvT1DZg0cTTJydrvF/ntt9OsWbOcTl16sGTpGpycnJk0cTQKhRwAy6LF2Lptl9rWpWtPDAwM8POvkG/rYtu2rezaFcqoUWNYtWodBgYGjBw5LNd7Z06dOsnSpYvp0aM3a9duxMXFlZEjhyOXZ8bv7u7B+PET2bo1hHnzFpKWlsaIEcP4+PFjjvJO/P47C9espU+njmxevAhXR0cCJ01GplBo3H9SUhIlrawY1KM7FmZmWuN0srfj8JYtqm3N7FmfrY/fTuzj3K9HaNmxH4NHz6CQnh7rlvxCSkqy1jxPH98loMZ3DBo9nT6Bk1B+TGXtkl9ITkpUpUlOTsbNqwy1vmv52RgAjh7cxanjB+jSaxATps5DT0+fBbMmk5KsPY6kpERs7Zzo3H1ArmX7lCrPvKVbVFu/wWNypDF2dKJ4hUp8uHGNp/v3kCiTYv9dQ3T09TWW+TEpicibN3h2cD9P9u5C8egB1tVqYJitsxb7+hUPgreqtte/ns69Hk6cZM6ixQzo05sdmzbi5upK/2HDtZ8rt24xdvIUWjVtSuimTdSuXp2hY8by6MkTIL0DM3TsWF6Hh7N49ix2bN5ECSsr+gYGEp+QkGsshw/s5MTRA3TrPYhJP8+nkJ4+82dO+oJj4kiXXt/nWjbA1ct/8uRxGKZmFrmmy+vr1ye7doZwcP9uBg4eztwFy9HX12fypDEk51Iff/x2mrVrVtCxU3cWLlmNo5MzkyeNUcUBMH/eDN68ecWkydNYunwdlStXY/bMn3jy5JHGMvP6uOSnNrpj+zb27d3FkKEjWbRkFfr6+kwYPyrXtvHrr6dYvWoZnbv0YNmKtTg5uTBx/CgU8sxjcu/eHSaOH0358v4sXrKKxUtX06x5KwoUKPC56hMEQfjbpKWl5cvtryhatCgeHh65boUKFSIgIACFQsHVq1dVeU+fPo1SqaRixYpay4+OjqZ+/foUKlSI/fv3o6/l77bPER10cnbQv5ZSqfzbyvq7bAkKolXLlrRo3hxnJyd+mDgRfX199u7bpzF90LZtVA4IoEf37jg5OTF44EA8PTwI2b4dgCJFirBqxQq+q18fBwcHSpUqxfixY7l3/z4RERFa40hLS2Pvnp106NiVgICqODo5M3L0eKTSSM7/eVZrvj27Q2nQoDH16zfEzt6BwUNGoKenz/FjhwHQ0dHB3NxCbfvzzz+oVq0WBgaF821d7NixnW7delCtWnVcXFyYOHEyUmkkf/zxu9Z827cH07RpMxo3boKjoyOjRo1BX1+PQ4cOqtI0a9aCMmXKUqJECdzd3enTpz/v37/j7duc8Wzbs5cWDb6jab16ONnZMW7wIPT19Thw/ITG/Xu5uRHYuxf1a9SgUC6/CupIdLA0N1NtpiYmWtN+qo+zpw9Ru0FrvEv7U8LGnnbdBxMdJefuzcta8/Ue/AN+AbWwsrbF2saBtt0GoZBF8vrlU1WaarUbU+u7ltg5umktJ2scJ4/uo0nz9pQtXwlbO0d6DRiBQiHj+tXzWvP5lvajZduulPOvrDUNQEFdXUxMzVSboaFRjjQWPr4oHoQR9eghyQoFEefOokxNxdRN86yG+LcRxLx4TnKUgpSYGGT37pIok1G4eHG1dMqPH/mYkKDalLl0ogA2BwfTunkzWjZpgrOjI5PHjsFAX489Bw9qTL91+w6qVKpIzy5dcHJ0YEj//ni5uxOc8XiRF69ecevOHSaNGY2PlxeO9vZMGjOGpKQkjmhpb5Axs+LIPpq2bE85vwBs7R3pO3AkcrmMa1e0H5NSZfxo3b4b5T9zTOSySII2rqT/oNHo6OjkGkdeX78+xbF/707adehKpYCqODo6M3zkeGTSSC6c1x7H3j2hfNegMXXrN8TOzoGBg9PjOHH8iCpN2P07NGnaEjd3T6xKWNO+Y1cMDY14/Oihxjjy+rjkpza6d08oHTt3pXLlajg5OTNm7ESkUil/ntN+THbv2kGDhk34rkEj7O0dCBw6Ej09fY4dO6RKs2rFUlq0bE37Dl1wcHDE1taOGjVqU6hQoVzrTxAEQfjfeHp60qBBA/r27culS5c4d+4cgwcPpkOHDqoV3N+8eYOHhweXLl0CMjvncXFxrFu3jujoaN6+fcvbt281DpDl5l/bQZ8+fTpr1qwBoFOnTvTu3RuAxYsXM3/+fLZs2YK/vz+lS5dmxIgRqnxNmjShfPny+Pj4EBQUBMDEiRO5d+8eZcqU4aef0qeaRkVF0aJFC9zc3NTyHzt2jICAAMqWLUuXLl1UoxUWFhYMHjwYX19fHj7M+YeMtn2PHTuW9evXq9L06tWLPXv2EBcXR8uWLfHy8qJnz57Y29sTGxv7P9VVSkoK9+/fp1KWX3wkEgmVKlbk1q1bGvPcun1bLT1A5YAArekBYmNjKVCgAEWKFNGa5u3bCORyGWXKlle9Z2hohLuHF/fv39Ma/+NHD9TySCQSypQtT5iWPI8ePeDpk8fUb9AoR1n5pS4iIsKRyaT4+fmr3jMyMsLT04u7d+9ozJOSksLDhw8oXz4zj0Qiwc/PX2uehIQEDh8+SIkS1hQrpt5hS0lJIezxY/zLlFErz79MGW5/5T04r8LDadS1Gy169WbSnDm8zTZVKDuZ9D0x0QpcPXxV7xkYGGLr4MLLpw++eL+JCfEAFNbQ8f0SkR/eERUlx9OnjOq9woUNcXJ258mjr78v6cH92wwf2JmJo/qzZcMyYmOi1RNIJOhbWBIX/kbt7bjwNxQuqr5giTaGJazRMzEhPttCJoZWJXDr2AXn1m2xCqiCTi5TwlJSUrj34AGV/NXbWiV/f27e1tzWbt65o5YeoHKliqr0n66Xelk6FhKJBF1dXa7dvKk1lg/v3xKlkOOd7Zg4O7vz+CuPiVKpZPWyeTRo0pqStva5ps3r69cn7z7FUUY9Djd3T8Lu39Uex+OHlC6TLY4y5XgQlpnHw9OHP34/Q0xMNEqlkt9/O01ycjK+pcrkKDOvj0t+aqNv30Ygk8koVzZzxV9DQyM8PDy5f0/79fzRw4eUK5eZRyKRULZcee7dSz8mCrmcsLB7mJqaMWzo97Rv25xRI4Zw5472/38EQRCErxcUFISHhwd16tShUaNGVK1aVW1ANyUlhQcPHhAfn/5357Vr17h48SK3b9/GxcWFEiVKqLZXr179pX3/azvoVatW5ezZ9F+lX7x4oeoUnz17lvLly7Nv3z7Onz/PzZs3iYyM5NCh9F+jN2/ezNWrV7l48SLTpk0jKSmJadOm4eXlxY0bN5g8eTKQXsmrVq3izp07HDhwgJcvXxIZGcmcOXM4ffo0169fx8nJSfUjgUwmo2HDhty+fRsPDw+NMWvad9u2bQkNDQXS7204deoUDRs2ZNmyZdjb23Pv3j06d+7My5cvtdbF5x4vIFco+PjxIxbm5mr5LMzNiZRKNZYZGRmJhYX6lEILCwut6ZOSkli4aBENGzTAyEh7x+jTNGwzU/VYTE3N1KZoZxUdHYVSqdSYR6Ylz/Fjh7G1s8fLS/2+8vxUF9KM/GZm6rGYm5sjk2kuOyoqPX7zbPGbmZmryvtkz55d1K9fm/r1a3Px4nkWLFiU4z4YRXQ0H5VKzE1N1WMwNUWaZYrlX+Xj7s7k4cNZ9NNUxg4aSPjbd/QbM5a4jIuYJjFRCgCMjNVjMTI2JSZa8UX7VSqVHNi5EQdnd6ys7f6n2KMypvsaZ4vD2NiUqKgvi0Mbn1Ll6N1/BCPHT6NNhx48vH+HhXOmoFRm/rJaUE+fAhIJqdmm06YmJFCwcM7R1E8kurp4dO2BZ4/e2Nb7jrcX/lTr5Me+fsWb33/lxdFDvL98CUOrEtjVbwBapslqPVc0tLVPIqVSjek/nSuODg6UsLJi4YoVREVHk5KSwrrNW3j3/r3W8wkgKirjmJio31JhbGKqOl7/q8P7d6Kjo0O9Bs0+mzavr1/Z4zDNdovJF8WhKU+W6eBjx0/h48dUOrVvTqvm9Vm2ZD4TJv2EtXXOe8rz+rjkpzb66Zqd45iYmWs9ztFRUSiVH3PkMTMzVx3HiIhwALZs3kDDhk2ZNmMOLq5ujBsznDev/9offIIgCF9DmZY/t3+Kubk527ZtIyYmhqioKNavX6/2d72DgwNpaWnUrFkTgJo1a2qdhu/g4PCX9v2vXSSuQoUKDBgwgJcvX2JnZ0dSUhIfPnzg2rVr3Lp1iwsXLqieXRcfH0/58umjBgsWLGD//v0AvHz5kpcvX2q8eb9y5coUz5ge6uPjw4sXL4iKiuLWrVsEBKQvZpOUlETjxo0BMDAwUP1bG0379vPz4+nTp8jlci5dukSVKlXQ19fnzz//ZOzYsUD6c/eyd8iymjFjBlOnTlV7b+L48fwwcWLulfg3SUlJYfTYsaRl7DerM6dPsGRx5kI2U3+a+Y/Hk5SUxK9nTtKxU7d/fF/Z5VYXhw4f5udp01SvZ82a+4/GUq/ed/j5VUAqjSQkZBuTJ//A8uWr+LJlNL5O5SzPjXR1dMTH3Z1mPXtx8o+zNP+uPgDXL/3B7uBVqnQ9v9e84uZfsW/7Wt6Fv2LAyJ+/OM+Fc2fYsn6Z6nXgqClfHYc2FQIyF9qysXXAxs6R8SP68ODebXJfTvDzlCkpPNm7G4luQQytS1K8QiWSY2KIz7itIfpZ5pT/JLmcRLkM17YdMLQqQVxGJ+CfpluwIAtmzmDKtOlUrf8dOjo6VPL3o2pAgNp9ZOfPnmHT2qWq18PG/PiPxPP86SNOHN3Hj9MXa7yfN79cv349c4JlS+arXk+e+nWPj8lN0Jb1xMXG8sv0uRgbm3Dh/Dlmz5jKzNmLuX3vfr44Lv+kL22jB48eY+rMzHU1fv7l82ts/C+Uaem3zDVq3IzvMmZUuLi4ceP6VY4dO0yVyn65ZRcEQRD+hf61HXR9fX3MzMzYuXMnVatWJTExkS1btmBjY0NaWhp9+/ZlyhT1P7TPnDnDuXPnuHjxIvr6+vj5+ZGUlKSxg551NUAdHR0+fvyIUqmkcePGbNiwIUf6wrmMbOW2b4AWLVqwd+9e/vzzT9q2bQvwlxY9GD9+vNo0fIC01FTVv81MTdHR0cmxaI5UJsPSQvPCO5aWljlGIKRSaY70KSkpjB43joiICNasWpVjxLhipSq4e2SuEJySnAKAXCHDPEtZCoUcJycXjbEYG5sgkUiQK9TjVyjkmJvl/OHi7B+/kZSURJ063+X4LC/romaNGjg6u6mlh/TRMEtLS9X7MpkMV1fN90qbmKTHL8sWv1wuyzHKb2RkhJGREba2tnh7+9CoUX3++OM3GlfInOJqamyMjkSSY0E4mUKR6wJwf1URIyPsSpbkdZaOoFcpP2wdMo95akabjY1WqI3IxUYrsLZx+Ow+9m5fy/3b1xgwYupnF/rKqky5ijg6Z97bnZqaflyioxWYZmlf0dEKbO0cv7jcL1G0mBVGRYx5/y4Cihmk7z8pkTSlkoIGBmppCxoYkJrLDASAlIzp8kkyGXompliWKsNLDesOpKeNITUhAV1jY9DQQdd6rmhoa59YWlhoTJ/1XPH28GDnls3ExMaSkpKCuZkZnXr1xsszc+ZRmfIVcXLJckwyzpXoKLn6MYlSYOvgpDGWL/Ew7C4x0VGMGtJD9Z5SqSRk6zqOH9nHqtUb88X1q0LFKri5Z67q/WnRRIVcjrn5X4wj28wYhUKOWcYPwBERbzh4YA9LV6zH3j69rTs6uXD37i0OHdxLs7bd8sVx+fVg+nohedlGa1WrSnGHnNdzhVyOhUXm9VwhT3/ShibGJiZIJDpqC8JB+vX808wqi4zjm/0JHLZ29rx//05juYIgCMK/2792ijtAlSpVWLBgAVWqVKFq1aosWLCAqlWrUqdOHbZv367qVL1//56IiAiio6OxsLBAX1+fGzducDPjfrIiRYoQExPz2f0FBARw5swZXrx4AaQvBvDs2bMvilXbvgHatm1LcHAwJ0+epGHDhkD6CP6nqe+nT5/O0SHLSk9PD2NjY7Ut6w8Murq6eHp6cjFjEQNI/2Pn4qVLlCpVSmOZpXx91dIDXLh4US39pw7py5cvWbVyJabZpklD+g8X1tY2qs3O3gEzM3Nu3rimShMfF8eDsHt4enrlyP8pfhdXd7U8SqWSGzeu4qEhz/Fjh6hYqTImGuLJy7owNDTExsZWtTk4OGJubsHVq1dUaeLi4rh//x7e3pqnturq6uLm5q6WR6lUcvXqFa15IHPlzeSMDkbW8jxcXLh8I7M9KpVKrty4ia+WWzX+F/EJCbyJiMAyy0wQPX0DLIuVUG3FS9hQxNiUxw8y79dMTIjn1fPH2DlpXhzt03fbu30td29cot+wKZhbFteaVhN9g8IUt7JWbdYl7TAxMeP+3RuqNAnx8Tx98gBn17+vTgBk0kjiYmMwyTr9WakkURqJYbYpxYbW1sR/yP0+fjUFClBAR/slvmBhQ3T09bV2+nV1dfFyd+fiZfW2duHyFUr7am5rpX181NIDnL90SWP6IkZGmJuZ8eLlK+6GhVG7enXVZwbZj4mNHSamZty7k9lOE+LjefLkAS5fcUwqV6vNT7OWMnXmEtVmamZBw6atGDn+53xz/UqPo6Rqs7PLiONmljji43j44D4enpofL6arq4uLixu3bqrHcfPGNdw90vMkJab/aCwpoN5uJBIJaWnKfHNcsn6nvGqjhoaGlCxpo9rs7R0wNzfn+vXMFX/j4uIIC7uPp5ZbFXR1dXF1c1PLo1QquXH9muqxmcWtSmBhYcnr1+q3ub15/ZpixXJ/1I8gCMLfSalMy5fbf9G/dgQd0u9DX7lyJb6+viiVSmQyGVWqVMHb25uJEydSp04dlEolenp6bNy4kQYNGrBixQq8vLzw9vZWTXu3sLCgXLly+Pr60rZtW6pn+U84q6JFi7JmzRpat25NcnIyEomEhQsX4uj4+VE1bfsG8PPz4/HjxwQEBKiW4x80aBCdO3fG29ubihUrUrJkSQyyjaj9FV07d2bSlCl4e3nh4+3N1m3bSEhIoEWz9Pv7Jk6aRLFixRg6ZAgAnTt1onffvmzasoXqVaty9Ngx7t67x6QffgDSO6SjxozhflgYSxYtQvnxI5GRkQCYmJhofeZfgQIFaNGyDSHBW7C2tqG4VQm2bF6HhYUlAZWrqtKNHzeCypWr0rRZKwBatmrL/LkzcHV1x83dk317dpKUmEi9+g3Vyg8Pf82dO7eY+rP2qaj5qS7atWvPpk0bsbGxpUSJEqxduwYLC0uqVctsg0OHDqZ69Rq0bp0+u6J9+45Mn/4zHh4eeHp6ExoaQkJCIo0aNcmogzecOnWSChUqYmpqyvv37wkK2oKenl7G7RnqF7NOLVswdf4CPF1d8XZzI2TfPhISE2lSry4AU+bNo5iFBYMynhuZkpLCs5fp9z6mpKbyQSrl4ZOnGBjoY5uxsuWiteuoVrECVsWKESmVsTooCIlEQv0amp+l/Kk+qtZuzOkju7AsZoWZRTGOH9iOsYkZ3qUzF3VavWgqPqUrULlm+rHfG7KWG1fO0r3/GPT09InJuC9W36AwuoXSf6iKiZITE61A+iF90bS34S/R09PH1NwSC2ODHHHUbdCcQ3u3U7x4SSyLFWfvzq2YmppTtnzms5rnTp9AOb8AatdvCkBiYkL6SHiGDx/e8fLFUwwNjbCwLEZiYgIHdgdTrkJlTEzM+PAugtCQDRQrXgLvUuUg7Jwqr/TObayr1SAh8gMJHz5g4e2DpKAuioy1Nqyr1yQ1Lo73V9NXt7coVZrEyEiSY6IpINHByNYWUxdXIjJWFi9QsCBFy5Yj5vlzUhPiKVTEmGL+FUiOjibuzWutx6Rbx45M/PlnvD098PXyZsv2EBISE2nROL2tTZg6lWJFizJs4EAAurRvR8/vB7IpaBvVqlTm6ImT3L0fxpRx41RlHjt1CnNTM6ysivPoyRNmzV9A7erVqZzLY0sKFChAvYbNObA3hOJW1lgWs2JP6BbMzMwpl+VZ87N/mUA5/wDqfpflmLzNnB3w4cNbXj5/gqFRESwsi2FUxBijIsZq+9LR0cHExIwS1jmfJ54frl+f4mjWog3bQ7ZgbV2S4sVLsHXLeswtLKkUkBnHxPEjCKhcjSZN0x8v2KJlWxbMn4mLqxtubp7s27eTxKRE6tZrAICNrR0lrEuybMl8evUZQBFjYy6cP8eN61eZ/OP0fHlc8lMbbdGyLcHbNlOypA1WJUqwaeM6LCwsqFwl85iMHT2MylWq0bxFawBatW7H3NkzcHNzx93dkz17QklMTKD+d41U5bZp14Etmzbg5OSCk7MLJ08c5dWrF/ww+Set8QiCIAj/Xv/qDnqzZs2Ijk6f0qmjo0NcXJzqs86dO9O5c+cceY4ePaqxrODgYLXXn274B9iZ8fgVgHr16lGvXr0c+T91yLTR09PTum+Ap0+fqr3W19dnx44d6OnpcenSJW7fvp3r438+p8F33yGXy1m+YgWRUinu7u4sX7pUNQ3w7du3SCSZoyZlSpdmxrRpLF2+nCVLl2JnZ8fC+fNxdUmfqvf+wwd+/e03ANp16KC2r7WrV+Pvp/2+uDZtO5KYmMiSxXOJjY3F29uXn36ZTaFCmaP+EeFviIqKUr2uUaM20VEKtmzZgFwuw8nJhZ9+mZ1jgbXjx45gaVmUcuXUV+nNr3XRqVMXEhISmDNnJrGxsfj6lmLu3AVqMyDCs9VFnTp1USjkrFu3FplMiouLK3PnLlCtU1CoUCFu3bpJaOh2YmJiMDc3p3TpMqxYsTq9vqLVp+vXq14deVQUq7duRSqX4+bkxKKfflJNcX/34YPaiNoHmYwugYGq11t372br7t2U8/Vh5cz0jsV7aSQ/zJ5DVHQ0ZiYmlPb2Yv38eZh95lFrNeo1JzkpkV3bVpEYH4+Dswe9Bk9EVzdzRWXZh3fExWbOeLnwx3EAVi38Ua2stl0H4hdQKyPNCU4eDlV9tnL+ZFUa2xI5V8pu0KQ1SUmJbF6/hPj4OFzdvBg25id0s6zs/OH9W2KyrMD+/Okj5k6foHq9I2gtAJWr1aFX/+FIJBJev3rGn2dPER8Xh6mZOd6+ZWnepkuOH3Ginz1FR1+fouXKU9CgMEkyKS+PH+FjYvrCcbqGhpDlNhhJQV2sAqqga2hI2sdUkhRRvPntTOZ952lp6JtZYOrihk6hQqTExxMX/pr3V6+SlstjIRvUq4tMIWfZmrVESqV4uLqycsECLC0ypkS/fUeBLG2jTKlSzPxpKktXrWbRypXY29qyaPYsXJ2dVWkiI6XMWbQYqUxGUUtLmjZswIBevbTG8Emjpm1ITkpk49r0Y+Lm7sWIcT+rHZP37yLUVsV//vQRs37OXNsgZEv6MalSvQ59vle/LehL5fX165PWbTqQmJjA0iXziIuNxcvbl6k/zVJ79NbbiHCis8RRrUZtoqKjCNqyMSMOZ6b+NEsVR8GCBflx6kw2bljNz1MnkpCQQAlra4aNGIeffyUio3LOtsjr45Kf2mi79p1ITExk0cKMtuHjy7QZc9XbRkQ40dGZx6RmzTpEKRRs3rQ+/Zg4uzBt+ly1ttGqVTtSkpNZuXIJMTExODk5M2PWfI0L9wmCIAj/fgXS/uoT3oVvQqFQUKdOHVJTU9HV1WXFihX4+3/+j7ZPErP8WJGX3ryP/nyib6BkMePPJ/oGouOSPp/oH6YXrX0l4m/pzIuEzyf6BrKPoOcVi9u/5nUIALi0bJ3XIXDlmfZber6l4maGeR0CAB/zyRQ+TR30vODnqH3R1G8pPCbl84n+YQ52f+2WHkEQhP9V6DHtj5rMS22/K53XIfzt/tUj6PlVxYoV1R5zBnDq1Cmti9ZoYmpqytWrVz+fUBAEQRAEQRAEQfhPEB30f8DFixfzOgRBEARBEARBEAThX0Z00AVBEARBEARBEAStlOKu6G/mX/2YNUEQBEEQBEEQBEH4rxAddEEQBEEQBEEQBEHIB8QUd0EQBEEQBEEQBEEr8eCvb0eMoAuCIAiCIAiCIAhCPiA66IIgCIIgCIIgCIKQD4gp7oIgCIIgCIIgCIJWSjHD/ZsRI+iCIAiCIAiCIAiCkA+IDrogCIIgCIIgCIIg5ANiirsgCIIgCIIgCIKglVKs4v7NiA76f9SdJ+/zOgQAipsb5XUIAOikpuR1CABEKuLzOgSMw1/ldQgA1Cznl9chABATl5TXIQBg5dY2r0MAIDL+Y16HgJ+HdV6HAECBvA4gQ8ipsLwOAYBGAU55HQIAUS+e5nUIAJjau+R1CCS8e5vXIQBgUNwqr0MQBEH4zxBT3AVBEARBEARBEAQhHxAj6IIgCIIgCIIgCIJWacq8juD/DzGCLgiCIAiCIAiCIAj5gOigC4IgCIIgCIIgCEI+IKa4C4IgCIIgCIIgCFqJVdy/HTGCLgiCIAiCIAiCIAj5gOigC4IgCIIgCIIgCEI+IKa4C4IgCIIgCIIgCFqJGe7fjhhBFwRBEARBEARBEIR8QHTQBUEQBEEQBEEQBCEfEFPcBUEQBEEQBEEQBK3EKu7fjuig/z+SlpbGru1bOHPqCHFxcbh5eNGr7xCsSpTUmuf+vdsc2r+TZ08foZDLGD56Mn4VKqs+T01NJTRkEzeuXebD+wgMChvi41uWDp17YWZuoTWOTRvXcfjwAWJjY/D28WXo0FHY2NjmGv++vbvYsSMYmUyGs7Mzg4cMx8PDS/X5iBGDuXXzhlqeJk2aM2z46BxlBYeGsmFrEJFSKe6urkwYNRJfb2+t+z528hRLV63iTUQE9ra2DB88iOpVqqg+j4+PZ8GyZZz+7TcUUdGUtC5B53btad+6Va7fKS0tjeCgjZw8fpi4uFg8PH3oP3Ao1tY2ueY7fGgve3fvQCGX4eDoTJ/+Q3Bz81B9HhERzqb1K7l/7w4pKSmULedP3/6DMTUz11je3jO/suPECWRR0Tjb2DCkQ3s8HB00pj30x1mOX7jA8/BwANzs7OjdooXW9AuCtnHw9z8Y2LYNrevW+Wx9rF6zin379hIbG0sp31KMGTMOOzu7XPOF7txB0NatSGVSXF1cGTlyNN5Zjueevbs5fuwYYQ8eEB8fx8kTpylSpEiucYg2mlkXGzas5eDB/cTGxuDjU4oRI0Z/ti727NlFSEgQMpkMFxcXAgNH4OnplSNdWloaY8eO5NKlC/z88wyqVauhsbzg7dvZuGlTen24uTF+7Fh8fXy018eJEyxdvpzw8HDs7OwYHhhI9WrVVJ8vX7mSI8eO8e7tWwrq6uLl6Ung4MGU8vXN9XsFb9/OhixxTPjCON6Eh2OvIY6spv7yC6G7djF21Ci6du6caxxpaWn8dmwnNy6eJjEhDhtHdxq16oV50RJa85w7tZew25eRfginYMFC2Di4UadxRyyKWavSbF7+Ey+f3lfLV65SHRq16aM1jrVrV7P/wD5iYmIpVaoUo0eNwdY293N2165QgrYFIZNJcXFxZcTwkXh5pbfv6Ogo1q5dw6VLF3n77h1mZqZUq1aDfn37Y2RklLOsY8cJPnAAmSIKZ3s7hvfsgZeLi8b9Pn31inU7dvLg2VPefogksFtX2jVupJYmPiGBNdt38PvlK8ijonBzdGBo9+54ujjn+p3yy/UrZPceNoWEIJXJcHN2ZuzQofh6eWpM+/jZM1asW8+9hw+JePuWUYMH06VdW7U0V2/cZFNIMPcfPOSDVMr8ab9QW0sbFgRBEL7eN5/ivnDhQpKTk/9yvtmzZ382TXh4OJ0/80fNP+XGjRscP348T/b9pQ7uC+XYkX307BfITzMWoqenz8xfJuZ6PJKSErGzd6RH70EaP09OSuL508e0bNOJX2YtZdioSUSEv2berB+1lrk9JIg9e3YydNgoli5djb6+AePGjSA5OUlrnjNnTrFy5VK6duvJypXrcHJ2YdzYEcjlcrV0jRo3ZUfoPtXWt9/AHGUdOXGC2QsX8X2f3oRu3oS7qwv9A4cilck07vv6rVuMmTSJls2aErplM7VrVCdw9BgePXmiSjN74ULOnr/AjKlT2b89hK4dOjB97lzO/P671u8EsGdXCIcO7qH/wGHMmrsUPX19fpo8LtdjcvaPM2xYu5L2Hbsxb+FKHByd+WnyWBSK9LpITExg6uQxUKAAP02by4zZi0hNTWHazz+gVCpz1u3lK6zcuYtujRuzcuIEnG1sGLt4MfLoaI37v/nwIbX9/Zk3YjhLxo6hqJk5YxYt5oNckTPW6ze4//QZFqYmudbDJ1u2bGbHju2MHTuedWs3oG9gwNBhQ0hK0t42Tpw4zqJFC+ndpw+bNm3BxdWVocOGIMtyPBMTE6kUEECPHj2+KA7RRjMFB29l165QRowYzYoVazEw0Gf06OG5HpPTp0+yfPlievToxZo1G3B2dmH06OHI5Tnj37lzOwUKFMg1hqPHjjFn3jwG9O/Pjm3bcHNzo//AgVrr48aNG4wdP55WLVoQGhxM7Zo1GTpiBI8eP1alsbe3Z8LYsewKDWXzhg2UtLam/8CBau0muyPHjjF73jy+79+f0G3bcP9MHNdv3GDM+PG0zBJHYLY4Pjl5+jS3bt+mWNGiudbFJ+fPHODy2aM0bN2bnoE/U6iQHtvWzCQ1Rfu148XT+/hVqU/PIT/Ruf8ElB9TCVo9g+SkRLV0ZSvWZtjkFaqtTpNOWsvcGrSF0J07GD16LGvXrENfX5/hI4bm2j5OnjzB4iWL6NWrNxvWb8LFxYXhI4Yiy2gfHyIjiYz8wODBgWzdso2JEydz8eJ5ps/4JUdZp/48z9LNW+jZujXrZk7Hxd6eEdNnIo+K0rjvpKRkrIsXY0DHjliYmmpMM3PVai7fvs2kQQPZPHc2/qVKMeyXaXzIpW1A/rh+HTt1mnnLltG/R3eC167BzcWZgaNGIct2Hcpadklra4b274elueYfcBMSE3BzdmH88GGf3b8gCILw9f4VHXSlUvlFHXRra2uCgoL+19C+Sn7voKelpXH00B5atO6In38AdvZOfD94NAq5lKuX/9Sar0xZf9p17IF/xSoaPy9saMj4yTOoVLk61iVtcXXzpHvvgTx7+ojID+81xrF7dyidu3SjSpVqODm7MHbsD0gjpZw7+4fWOHbtDKFRo6Y0aNAYewdHhg0bjZ6ePkePHlRLp6+nj7m5hWozNDTMUdbmbcG0adGclk2b4uzkxORx49DX12fPgQMa9701ZDtVKlWiV9euODs6MmTAALw83Nm2I1SV5sat2zRv3IgK5ctT0tqati1b4u7qwu2797R+p7S0NA7u303bdl2oWKkKDo7ODB0+FpkskosXzmrNt3/vTup914g6dRtga+fAgIHD0NPT49SJowCE3bvLh/fvCBw2BnsHJ+wdnAgcPpYnjx9y+9b1HOXtPHmKRlWr0KBKZRysSzCsc0f0ChXi6J/nNe5/Qu9eNK9ZAxdbW+ysrBjZrQtpaWlcDwtTS/dBrmBJyHYm9O5JQR0drd8na32EbA+mZ89e1KheA1dXV36cMpXIyEh++/03rfmCg7fRvHkLmjZphpOjE+PGjkdfX58DB/er0nTs0Inu3Xrg45376OinOEQbzayLnTt30LVrD6pWrY6zswvjx08mMjKSs2e1d+xDQ0No3LgZDRs2wcHBkREjxqCvr8fhw+p18ejRQ7ZvD2bMmAlaywLYvHUrrVu1omXz5jg7OzN54kQM9PXZs3ev5voIDqZK5cr07N4dJycnhgwahJenJ8EhIao0jRs2JKBSJWxtbHBxdmb0yJHExsby8NGjXONoky0O/S+Io1f37jhniWNbljgA3r1/z4xZs5g1fToFC35+YltaWhqX/jhC1botcffxo7i1Pc06DCQmWs6DO1e05uvUdzyl/WtQ1MqW4tb2NO3wPdGKSCJeP1NLp1uoEEbGpqpNT7+w1jh27AihR/eeVK9WAxcXVyZP+pHIyEh+/0P7ORuyPZhmTZvTpHFTHB2dGDN6HHp6+hw8mN6+nZ2cmT59FlWrVsPGxga/8n707/c9586dJTU1Vb2sQ4doWqc2jWvVxNHGhtF9eqNfqBAHz/yqcd+eLs4M6tKZulUqo6ubs66TkpP57eIlBnbuRBkvT2ysrOjdtg0lrazYc/yE1u+UX65fW3bsoFWTJrRo1AhnBwd+GDkSfX199h46rDG9j6cnIwZ+T4M6ddAtVEhjmqqVKjG4bx9qV6/+2f0LgvDfpUzLn9t/0d/SQd+yZQv+/v6ULl2aESNG8Pz5c0qXLk337t3x9PSkffv2pKWlsWzZMsLDw6lcuTLNmjUD4NixYwQEBFC2bFm6dOmi6rxbWFgwePBgfH19adu2LQqFgjJlyjBgwAAAmjRpQvny5fHx8VF1yp8/f46fnx8AGzdupF27dtSrVw8XFxfmzZunSlO6dGk6d+6Mq6sr33//PXv37qVixYr4+PjwKOOPsw8fPtCqVSv8/PwICAjg+vX0jk2PHj0YOnQolSpVwtXVld9++42PHz8yefJkNm/eTJkyZTh8WPN/hHv37qVChQqULVuWxo0bo1AoiIqKwtXVVZXmxYsXlClTBoB9+/bh5uaGv78/vXv3ZtSoUf/zMfrw/i0KhRxv37Kq9wobGuLs4sGjB/dzyfnXJcTHUaBAAQpr6HhERIQjk0kpV85f9Z6RkRGenl7cu3dHY3kpKSk8fPiQcuX8VO9JJBLKlfPj3r27amlPnTpBq5aN6dO7K2vXriQxMTFHWffCwqjkX0GtrEr+/ty8fVvj/m/evk1ABX+19ypXqqSWvkwpX878/gfv3r9P/+P5yhWev3xF5YoVNZYJ8O5dBHK5jNJlyqneMzQ0wtXNkwdhmjtNKSkpPHn8kNKlM/NIJBJKlSnHgwfpeVJS088hXV1dVZpChQpRoEAB7mer45TUVB6+fEk5Tw+18sp5eHDv6VOtsWeVlJxM6sePFMlyvJVKJTM3bKBd/Xo4WFvnkjtTePgbpFIpFbIcGyMjI7y9vbl9+5bGPCkpKYQ9CFPLI5FI8PevwG0tx/NzRBvNWRfly2d+LyMjI7y8cq+LBw8eqOWRSCSUL++vlicxMZFffvmRYcNGYmGh+XaYT+Xdu3+fSlnilEgkVKpYkZu3NLeLm7duqaUHqBwQoDV9SkoKO3fvpoiREe5ubn9rHAGfiUOpVDL+hx/o0b07Ls65T6H+RCF7T2yMAkfXzKn1+gaFKWnnzOsX2n9gyC4pMR4Ag8Lq08bvXDvHvMl9WTVnNKcPB5OiZeZIeHg4UqkUPz/1c9bLy5s7dzS31fT2EYZf9nPWz19rHoDY2FgMDQ3VfsBISU3l4dNn+Plm1oNEIsHP14e7ufzQkpuPHz/yUamkkK56Z1WvUCFuPXigNV9+uH6lpKRw/+FDKvqVVyuvYvny3Lp7N5ecgiAIQn7y1feg379/n3379nH+/HkKFixIt27dOHToEPfv3yc4OBhPT09q1arF2bNnGTRoEHPmzOHPP//EyMiIyMhI5syZw+nTpzEwMGDy5MmsWbOGQYMGIZPJaNiwIUuXLgXA0tKSGzduqPa7efNmzM3NiYuLw9/fnzZt2uSI7datW1y5coXU1FTc3d0ZMmSIKuYdO3bg4uKCj48PRkZGXLx4kVWrVrF06VIWLVrEsGHDGD9+PP7+/jx69IguXbpw8eJFAGQyGRcuXOD06dP89NNPnDp1ip9++ok7d+4wd+5crXVVo0YNmjdvToECBVi8eDHLli1j4sSJuLu7c/HiRSpWrMjOnTtp27YtCQkJBAYGcu7cOaysrKhbt67qx4fskpKSckyhS05OolAhPdXrT9OfTbJN6TMxNVV99ndITk4meOt6AqrUpHDhnB30T1NczczM1N43NTNTTW/MLioqCqXyI2bZ7p82MzPn1asXqte1a9ejeHErLCwsefb0CWvWrOD1q5f8OHV65v4VCj5+/IhFtql8FubmPHvxAk0ipdIc6S3NzYmUSVWvJ4waxY/TZ1CnSVMK6uhQQCLhxwkT8CtXNntxKgr5p2OSrS5MzVSfZRcTHYVSqcQke/2ZmvHm9SsA3Ny90Nc3YPPGNXTp2ps00tiyaS1KpRJ5lpgBomJjUSqVmBUxVnvfzNiYV2/faY09qzW792BhYkL5LJ38kGPH0ZHo0Kp2rS8qA0AqTY/NPNvaBebmFsikUk1ZUGQcT/Nsx8fczJwXz59/8b6zEm0006dpttnr18zMXOtU8KgoBUplzmNiZmbOy5eZ8S9btghvb1+qVs19VE4ul2uuDwsLnmk5xpGRkRrTR2ZrR7/9/jujx40jMTGRopaWrF65Msdx/7vjsMwWx7oNG9DR0aFLx44ay9AkNiZ9+rZhEfVbRwyNTIiLUXxRGWlKJcf3bcbGwZ1iJTLXE/ApVwUTM0uKGJvxLuIlpw8FI30fQdseI3KUIZN9OmeznX/m5sikmtuH1nPW3JwXLzW3b4VCwYaN62nWrIXa+1HR0XxUKjE3Ua8HcxMTXmSskfFXFTYwwMfNlY27d+NQ0hozU1NOnjvH3YcPKWllpTVffrh+yaOi0ttotjZsYW7G85cv/3J5giAIQt746g76qVOnuHDhgqrzGB8fT/ny5XF3d8fLK31BoLJly/L8+XOqZVtU5MKFC9y6dYuAgAAgvaPZuHFjAAwMDFT/1mTBggXs358+Bezly5e8fPlSbcQQoF69eqoFZaytrXn3Lr3D4e7ujru7OwCenp7UrVsXAF9fX9Xo98mTJ7mb5RfnrPeRtmjRAoDy5cvz/C/8J/ry5Uvatm3Lu3fvSEhIoGLGyErbtm0JDQ2lYsWK7Nq1i40bN/LgwQM8PDywsUlfLKx169a80PLH+YwZM5g6darae81atOHZk4eq16PH//TFcf6vUlNTWTJ/GpBGz76DATh18jgLFsxRpZk2/fO3KvyvmjRprvq3k5Mz5hYWjB41lPDwN1i5O/xj+wUI2rGDW3fusHTeXEpYWXH1+g2mzZlDsaKWBFRIHx05ePQoP06focozcfJ0bcV9FRMTU0aPnczKFQs5dGAPBQoUoFr12jg5u1JA8vfe1RJ89BhnLl9h3sjhFMo4/x6+eMHu02dYOXF8rvcWHz16hJmzMutj/rwFf2tsX0q00extdKYqz8yZ2n9w/Brnzv3BtWtXWbNm4z9S/pfy9/dnZ0gIcoWCXbt3M2rMGIK2bMnRqf6n3L13j63BwYRu25bruXL72lkO71yret2h95iv3veRPRv48PYV3Qf9qPZ+uUqZCzkWK2GHURFTglZNQxb5jmPHHjJ7Tmb7mDtn/lfH8TlxcbGMGj0CR0dH+vTu+4/vD2DSoEHMWLmSFt8PQkciwc3RkbpVKvPgaeatAMf/OMucHr1Ur/Pq+iUIgvCtpIlV3L+Zr+6gK5VK+vbty5QpU1TvPX/+nC1btqhe6+jo8PHjR415GzduzIYNG3J8Vriw5nveAM6cOcO5c+e4ePEi+vr6+Pn5kZSUlKODrqeXOYKcNYas70skEtVriUSiFueVK1c03g/4Kb2276VNYGAgEydOpH79+hw8eJCNGzcC6R3+adOmMXToUBISEnBzc1NNqf8S48ePZ8QI9dGNyzcfkxCfoHqdmjHtOUqhwMws8xf+KIUCewenL96XNumd8+lERr5nwpRZqtHzgMpV8ciycnNKxgJGcrkcCwtL1fsKuRxnZ82r7pqYmCCR6ORYYEoul2ldKR5QrZ795s1rymV0fsxMTdHR0cmxqJNUJsPSQvMf5ZYWFjnSR8pkWGbsOzExkUXLV7Bo9ixqVK0KgLurK2EPH7Jxa5Cq81OrWjWMFzlmqYsUAKIUcrVRF4VCjqOT5qmuRYxNkEgkRGUbYVco5GortJcp58fKNVuJjopCR0cHQyMjenZtQ3Er9RWeTYyMkEgkyGPUF4STR0djbqI+qp7djuMnCD56jDnDhuJsk7nq/O1Hj1HExNBx/ETVe0qlkpU7d7Hr9Gm2TZ8GQLVq1fH2zpya+qltyGRSLC0z24ZMJsXVVfO0Y9OM45l9NFcml2Gey7TprEQbVW+jNmszV3vOPCYytbqQy2W4uGTemqNeF6ZIJDmPiVwuU40UXrt2lfDwNzRp8p1amilTJuLrW5qtG9er3jMzM9NcH1Kp1qnxlpaWGtNbZktf2MAAOzs77OzsKF2qFI2bNWPPnj306d07R5m5xZG93NziiMyS/tr168hkMuo1ylxF/OPHj8yZP58tQUEcz/jB2M2rPCVHZLa9j6np1464mCiKGGeOlsbFRlHc2kFjLFkd3b2BR/eu0W3gFIxNcz9PStql71cufUvLtvXVVhdPTk6PQyaTZTtnZWq3bmWl9ZyVyXKMJMfFxTF8xDAKFy7MjOmzcvx/bGJsjI5EgizbgnCyqCitC8B9iZJWxVn64xQSEhOJS0jA0syMyQsXYV28mCpNVb/ylKqR+WNGXl2/sjIzMUlvo9n+f5DK5FoXgBMEQRDyn68eTqtTpw7bt29XTe96//49ERERWtMXKVKEmJgYAAICAjhz5oxqZDg6Oppnz55pzJe1MxwdHY2FhQX6+vrcuHGDmzdvfu3XyKFWrVqsWLFC9fpz+8j6vbSJjo6mZMmSpKWlsXnzZtX7JiYmuLm5MXbsWNVUfQ8PD8LCwnjz5g0fP35k9+7dWsvV09PD2NhYbTMxMcOqhLVqK2ljj6mpGXfv3FDli4+P48njMFzdNT9+5Ut96py/ffuG8ZNmUCTLdOnChQtTsqSNarO3d8Tc3ILr1zIXMoqLi+P+/Xt4eWl+VJGuri5ubm5cu35V9Z5SqeT69auqx/Jo8uRJ+j2IFlk6SLq6unh5eHDx8mW1si5euUxpLY9XKu3ry4XL6gsvnb94SZU+NTWV1NRUJNlGp3V0JCjTMldNNzQ0pIR1SdVma2ePmZk5t25eU6WJj4/j0cP7uGd5NFf2unB2ceNWlsXelEolt29ex909Zx5jExMMjYy4dfM6UVEKKmR5RB6AbsGCuNnZcf1+5r2VSqWS62EP8HLS/sNNyLHjbD10mJmBg3F3sFf7rG6liqyZNJHVP0xQbRamJrSrX49ZgUPU6sPW1la1OTo6YWFhweUsxyY2Lpa7d+/i61tKa314uHuo5VEqlVy+fBnfzzwu6xPRRtXbqI2NjWpzcEivi2vZ6uLevdzrwt3dnWvX1Ovi6tUrqjydOnVl3brNrF27UbUBDBoUyLhxE3OU5+XpqbrF6FN5Fy5donQpze2idKlSXLx0Sb0+LlzQml5VbloayRk/nGn6XpriuPiZOC7kEkfTxo3ZvWMHO0NCVFuxokXp2a0bq5YvV+XR0zfA3NJKtVkWt8GoiCnPH2Xe05+UGM+bl0+wsdfcMYaMxUJ3b+DBnct0HfADZhbFtKb95F14+v/PRkVMM9qHrWpzdHTEwsKCK1cz22pcXCz37t3Fx0dzW01vHx5cvaLevq9cvayWJy4ulmHDA9HV1WX2rLlqP6yryipYEDcnR67evqNW1tU7d/HW8gPBX2Ggr4+lmRnRsbFcunmLqlluMytsYJAvrl/Zy/N0c+PSVfVz79K1a5TK5RGNgiAIQv7y1SPo3t7eTJw4kTp16qBUKtHT01ONDGvSt29fatWqhZubG/v372fNmjW0bt2a5ORkJBIJCxcuxNHRMUe+7t274+vrS/Xq1Vm0aBErVqzAy8sLb29vypcvr2FPX2fJkiUMGDCAtWvXkpycTLNmzShdurTW9LVq1WLmzJmULVuWadOm0SjLiMgnU6ZMoWnTppibm1OjRg21Kett27alR48ePMhYhMbAwICFCxdSq1YtTExM8PDwwNg49xHN3BQoUIAGjVuyd1cwVlbWFC1mxc7tmzE1s6C8f2anbfrUcfhVqEz9humL+CUmJPD2bea9fB/ev+X5sycYGRXBsmgxUlNTWTTvF54/e8yocT+hVCpRZIwiGhnlfE5rgQIFaNWqLUFBmyhpY4uVVQk2bliLhaUFVapm3gIxetRQqlStTosWrQFo3aYDs2dNw93NA3cPT3bv2kFiYgINvku/DSI8/A2nT52gQsVKGBub8PTpE1YsX0ypUmVwyjbq2a1TRyZO/QlvT098vL3YGhJCQkIiLZo0AWD8lB8pVqwowwelP1quS4f29Ow/gI1BQVSvUoUjx09w9/59fpwwPuN7GuFXrhzzFi9BT08Pa6sSXLl+jf2HjzB66NBcj0mTZq0I3R5ECWsbihe3YtvWDZibW1KxUlVVuskTR1EpoCqNmrQA0m9fWLxgFs4ubri6eXBw3y4SExOpUzdzNPLUyaPY2NhhbGLKg7C7rFuzjKbNW1PSxhbCH6rF0aZuHWZt3ISbgx0eDg7sOnWaxOQkvqucfuvJzA0bsTQ1pU/L9P0HHz3GpgMHmdC7J1YWFqrRKwM9PQz09TExMsIk27OKC+roYG5sjG0u93AWKFCADu07smHjemxtbbG2Lsmq1SuxtLSkRvXMZ2MPGvw9NWvUom3bdgB07NiJn36eiqenJ15e3oRsDyYxMYEmjZuq8kilkUilUl5n3Kf/+MljDAsXpnhxKyQF9XPEIdpoZl20adOOLVs2YWNjS4kS1qxbtxpLS0u1e8dHjBhC1ao1aNUq/QfGtm07MGPGL7i7e+Dp6cXOndtJTEykYcP0+C0sLDSOfhcrVpwSJXIuKtitSxcmTp6Mt5cXvj4+bNm2jYSEBFo0T79lYMIPP1CsWDGGBQam10fHjvTs25dNmzdTrVo1jh47xt1795gyaRKQ8ZzrtWupWaMGRS0tkSsUhOzYwfv376lfr57W+sgah4+PD1uzxTE+I47h2eLYuHkz1atV40hGHD9mxGFqaopptpHeggULYmlpiaODQ67HpUK1hpw9tRfzolaYmhfj16OhFDE2w90nsxO5deUvuPv44181/dpwdPd67lz/k3Y9R1JIz4DYaAUAegaF0dUthCzyHXevn8PFswwGhYvwPuIFx/dvwc7Jg+LW9hrjaNeuA5s2bcDWxhZra2tWr1mFpaUl1bM8z35I4CBqVK9Jmzbpz9fu0L4jv0z7CQ8PT7y8vNi+I4TExESaNE5vH3FxsQwbFkhiUhJTJk8lLi6OuLg4VZ1lvRmgQ+PGTFu+Ag9nJzydXdhx+AgJSUk0rpm+/5+XLqeouRkDOqXf45+Smsrz169V//4gl/Po+XMM9PWxybg+XbxxkzTSsLO25s3btyzbug07a2tVmdqOSV5cv4oZqM8c7NquHZNmzMDL3QMfTw+CQneSkJBA80YNAfhh2jSKWRYlsH+/9DpISeFJxq16qSkpvI+MJOzRo/TZJRkzo+Lj43n55o1qH28iIgh79AgTY2NKFC+utU4EQfhvUYop7t/MV3fQATp37pzj+eNXrmSOuGRdOC0wMJDAjD9eIP0+8Xoa/iCKjIxUez179my1R60dPXpUYyyf9pv9eaFZ48n67507d6r+XalSJQ4eTH8MUNGiRdm1a1eO8rP++GBkZKS6B93c3FztV3BNWrRoobp/Pbvu3bvTvXt3tffq1atHy5Yt+fjxI61ataJcuXIa836pJs3bkpSYyLpVi4mPj8XNw5uxE3+hUJZHq7x7F05MTOZ0wadPHzLtx7Gq11s3rQagWo26DBg8CrkskmtXLgAwYbT685wn/jiLksVzPp6tfYfOJCYmsmD+bGJjY/Hx9WXmjHlqi9qFh78hKkqhel2rVh2iohRs3LgWuVyGs7MLM2bOwyxj2l7BggW5du0Ku3btIDExkWLFilGtWk06d+meffc0rFcPuVzB0tWriZRK8XBzY+WihapppxHv3qmNNJYtVYpZP//MkpUrWbR8Bfa2tiyeMxvXLCsuz/3lFxYuX8a4yVOIio7G2sqKwAEDaN+6VS5HBFq27kBiYiIrls4nLi4WTy9fJk2doXZM3r4NJzo685hUrVaL6KgoQoI2IpenT4efPHWm2hT3N69fsXXTWmJjYyharDht2nWmWfOcCykC1PL3Iyo2lo37DyKPjsbZxoaZgUMwz/hB6L1MpnZ/7IHffyclNZWpq9aoldOtSWO6N22S6/f9nK5du5GQmMCMmdOJjY2ldKnSLFq4WG307M3rNygUCtXrevXqo1AoWL1mFVKpFDdXNxYuWKzWAdy9ezdr12XGO2BA+h+nk36YTI1a9XPEIdpopo4du5CYmMjcubOIjY3F17cUs2fPVz8mb9TronbtuukLe21Yg0yWPh1+9uz5OaYwf6kG332HTC5n2YoV6fXh7s7KZcsy6+PtW7X1FcqUKcPM6dNZumwZi5Yuxd7OjkXz5+Pqkv5DiI5EwrPnz9l/4AByhQJTExO8vb3ZtH59riupN/zuO+RyOUtziUPtuJQpw6zp01mSJY7FWeL4GgG1mpKcnMShnWtJTIjH1tGdjn3HUTDL6uNy6Tvi4zJndl09fxKALSt+ViurafsBlPavgU7Bgjx7dJtLfxwhOTkJY1MLPH0rULVuS61xdOnclcSEBGbNnkFsbCylSpVm/rxFOdqHIkv7qFu3HgqFgjVrV6umgM+ft1B1q8+DBw+4m/H0g3btW6vtb9fOPWTtEtapHIAiOpq1O3YiUyhwcbBn3vhxmGf88PFOGolEknn9ipTJ6Tl2vOp18IGDBB84SBkvT5ZOmQxAbEI8q4JD+CCVYWxkRI2KFejXof1nH4GXF9ev1vUzp9kDfFenNnKFghXr1xMpk+Hu4sLyuXNU6ypEvHtPgQKZbfR9ZCQdevdRvd4cEsLmkBDKlynDusWLALj74AF9hw5TpZm3dBkATRs04OcJmXUpCIIg/D0KpIk7/vOtOXPmEBQURFJSEnXr1mXx4sW5LiSU1ZVbmm8V+NaKmxt9PtE3YFVE9/OJvoFH72LzOgSMs42g5xWj0pqfSvCtxcRpfoTUt5Zf2mhk/Jevq/FPsTAxyOsQAPiyq+0/L+RUWF6HAECjgK9fr+TvoHz9ZY+A/Kfp2n/9Dy1fSy85Pq9DAMCguPbZUYIg/Des2nXp84nyQP/WFT6f6F/mbxlBF9Rt2LCBRYsWqb3Xtm1bJk6cqCWHZqNHj2b06NF/Z2iCIAiCIAiCIAh/iRjS/XZEB/0f0LNnT3r27JnXYQiCIAiCIAiCIAj/In/vQ5EFQRAEQRAEQRAEQfifiBF0QRAEQRAEQRAEQSulUsxx/1bECLogCIIgCIIgCIIg5AOigy4IgiAIgiAIgiAI+YCY4i4IgiAIgiAIgiBoJWa4fztiBF0QBEEQBEEQBEEQ8gHRQRcEQRAEQRAEQRCEfEBMcRcEQRAEQRAEQRC0ShNT3L8ZMYIuCIIgCIIgCIIgCPmA6KALgiAIgiAIgiAIQj4gprj/R5WyNcnrEADYef5FXocAQItqbnkdAgCuJU3zOgTePI7P6xAA0EvOH3HEoJPXIQCQFB2V1yEAYGlmntchQEpyXkcAQEpcXF6HAEDNsrZ5HQIAb/eE5HUIALh17pbXIQBw99mHvA6BpJSPeR0CAOUMY/I6BAB0jYrkdQiC8J+lFHPcvxkxgi4IgiAIgiAIgiAI+YDooAuCIAiCIAiCIAhCPiCmuAuCIAiCIAiCIAhaiRnu344YQRcEQRAEQRAEQRCEfEB00AVBEARBEARBEAQhHxBT3AVBEARBEARBEAStxCru344YQRcEQRAEQRAEQRCEfEB00AVBEARBEARBEAQhHxBT3AVBEARBEARBEAStlGKG+zcjRtAFQRAEQRAEQRAEIR8QHXRBEARBEARBEARByAfEFPf/R4J37mTj1iAiZTLcXVwYP3IEvt7eWtMfO3WKpatXEx7xFjtbG4YPGkT1ypVVn0dKZSxYtozzly4RExND+bJlGD9iJPZ2trnGkZaWxq9HQ7l2/jSJiXHYOrjTuG1vLIqW0Jrnj5N7Cbt1icj34RTULYStgxt1m3bCspi1xvK3rZ7J47CbtO81Eg9f/xxptu/YzqYtm5FKpbi5ujF29Bh8fHy07v/EyRMsX7GC8Ihw7GztCBwSSLWqVVWfnzp9ip27dnE/7D5RUVGEBAXj7u6eaz0ABG/fwYbNm4mUSnF3c2XCmDH45hLHsRMnWLpiBW/CI7C3s2V4YCDVs8QB8OTpMxYsXsyVa1f5mPoRJycnFs6ZTYkS2ut3/9mz7Dz9K7KYGJysrRnYqiUe9nYa0x4+f4GTl6/w4u1bAFxsbOjZuJFa+u+Gj9SYt0/TJrStXUtrHCG797ApJASpTIabszNjhw7F18tTY9rHz56xYt167j18SMTbt4waPJgu7dqqpbl64yabQoK5/+AhH6RS5k/7hdrVqmnd/ydpaWls2riOw4cPEBsbg7ePL0OHjsLGJve2vW/vLnbsCEYmk+Hs7MzgIcPx8PBSfT5ixGBu3byhlqdJk+YMGz46R1k79u1n845QpDIZrs5OjBk8CB8PD437ffL8OSs3bub+o0dEvHvHyO8H0Kl1K7U0ofsPsPPAQSLevQPAyd6evl07U6VChVy/U/COHWzYvCW9jbq6MmHM6M+00ZPpbTQiAntbW4YHDlFroz7l/TTmGzE0kF7dummPIzSUDVuDMuMYNTL369fJUyxdtSozjsGDqF6liurz+Ph4FixbxunffkMRFU1J6xJ0btee9tnqLbvte/ayafv2zDYaOAQfT81t9MmzZyzfsJH7Dx8S8e4dowYNpHObNmpp1gVt4/Qff/D85Uv09PQo7e3N0H59cbDTfP59kh/aqLmXNxalylDQwIBEmZS3f54j4cN7jfst4uBI0TJlKWRsQgGJhKToKKS3bhL1+JFaukKmphSvUAnDEiUoUEBCkkLOqxPHSYmL1fqdgrdvZ8OmTRnXUTcmjB37+evo8uW8CQ/H3s4u/Tqq5bow9ZdfCN21i7GjRtG1c2etZUL6MQkN2cypE0eIi4/F3cObPv0CKWFdUmuee3dvcWBfKM+ePEIulzFq7BT8K1ZRS3PxwllOHjvI0yePiI2NYda8FTg4Oucax+7QLfx66ijxcXG4unvRo89grEpojyPs3m0OH9jJ82ePUchlDB01ifL+ldXS7A7dysU/f0Mq/UDBgro4OLrQtkN3nF01X5fyy7VDEIS/R5pYxf2bESPo/08cPXGSOYsWM6BPb3Zs2oibqyv9hw1HKpNpTH/j1i3GTp5Cq6ZNCd20idrVqzN0zFgePXkCpJ+kQ8eO5XV4OItnz2LH5k2UsLKib2Ag8QkJucZy7vR+Lv5+lMZt+9Bn2C8U0tNj68oZpKYka83z4sl9/KvWp/fQn+k6YCLKjx/ZunI6yUmJOdJe+O0wFCigtaxjx48xb8F8+vftx7at23Bzc2XgkEHItNXFzZuMnziBFs2bExy0jZo1azJi1AgeP36sSpOQkECZMmUIHBKY63fP6six48yeP5/v+/UjdFsQ7q5u9B80WOsxuX7zJmMmTKRl8xaEbttG7Zo1CRwxkkdZ4nj56hXdevfG0cGBDatXs2t7CAP69qGQnp7WOH69fp3Ve/fT+bv6LBs5HCdrayauWo0iJkZj+luPH1OrXFlmD/qeBUOHUNTMlAkrVxGpiFKlCZ46RW0b0aE9BQoUoGqpUlrjOHbqNPOWLaN/j+4Er12Dm4szA0eNQiaXa0yfmJhISWtrhvbvh6W5ucY0CYkJuDm7MH74MK371WR7SBB79uxk6LBRLF26Gn19A8aNG0FycpLWPGfOnGLlyqV07daTlSvX4eTswrixI5Bni79R46bsCN2n2vr2G5ijrONnfmX+ylX069qFoJXLcXNyYvC4CbnURRIlS1gxpE8vLLTURfGilgzp05uty5exZflS/MuWYcTkH3ny/LnW73Tk+HFmz1/A9/36Ehq0FXc3N/oPHpJ7G504kZYtmhO6LSi9jY4cpdZGfz12VG37ecpkChQoQL3atbXHceIEsxcu4vs+vQndvAl3Vxf6Bw7VHsetW4yZNImWzZoSumUztWtUJ3D0GNX1C2D2woWcPX+BGVOnsn97CF07dGD63Lmc+f13rXEcO32GeStW0L97N7atXoWbszMDx4zVflySkrCxLkFgv75a2+i1mzdp36I5m5ctZcWcOaSmpvL9mDEkfOY6mtdt1NjJmeKVKvPh2hWe7tlFolSKfcPG6Ojra9z3x6QkPty4xtP9e3i8KxTFgweUrFELQxsbVRrdIsY4Nm1BskLB84P7ebwrlA/XrqL8mKr1Ox05dozZ8+bxff/+hG7blt5GBw7U3jZu3GDM+PG0bNGC0ODgjOvoCLU2+snJ06e5dfs2xYoW1br/rPbv2cGRQ3vpMyCQaTMXo6+nz/Sfx5OcrP3/tqSkROwdnOjVd7D2NImJuHv60Klrny+K49D+UE4c2U+PPkOYMm0hevr6zJn+w2fjsLN3oluvnMf6E6sSJenacyDT56zgh6lzKVq0OLOnTSQ6WpEjbX65dgiCIPwbiQ76/xObg4Np3bwZLZs0wdnRkcljx2Cgr8eegwc1pt+6fQdVKlWkZ5cuODk6MKR/f7zc3QneuROAF69ecevOHSaNGY2PlxeO9vZMGjOGpKQkjhw/oTWOtLQ0Lv52hOr1W+Lh60dxa3tadBpETLScsNtXtObr0n88ZSrUpFgJW6xK2tO80/dEySOJeP1MLd3bN885/+shmncYoLWsrUFBtGrRkubNmuPs5MTE8RPR19dn7/59GtMHh2yjckAA3bt1x8nRiUHfD8TTw4OQHdtVaZo0bkL/vv2oVKGi1v1mtzloK21atqRl82Y4OzkxeeIE9PX12bNPcxxbtwVTJSCAXt274ezkyJCBA/Hy8GDb9h2qNIuXLadalSqMHDYUTw8P7GxtqVWjhtZOG8DuX3+nQUAlvqtYAXsrKwLbtkavkC7HLl7SmH5c1y40rVoF55IlsStenOHt25GWlsb1R5kjYebGxmrb+Tt3KO3iTAlLC61xbNmxg1ZNmtCiUSOcHRz4YeTI9ONy6LDG9D6enowY+D0N6tRBt1AhjWmqVqrE4L59qF29utb9ZpeWlsbu3aF07tKNKlWq4eTswtixPyCNlHLu7B9a8+3aGUKjRk1p0KAx9g6ODBs2Gj09fY4eVT/H9PX0MTe3UG2GhoY5ytq6axctGzWkWYPvcLK3Z8Kwoejr6bHv6DGN+/b2cGdY/358V6sWhXR1NaapHhBA1YoVsLMpib2NDYN69aSwgQG379/X+p02bw2iTcsWtGyW0UYnjM9oo/s1pt8aHJLeRrt1w9nRkSEDv09vozsy26ilpaXadubX36jg54dtlo5ajji2BdOmRXNaNm2aHse4celxHDigOY6Q7VSpVIleXbumxzFgAF4e7mzbEapKc+PWbZo3bkSF8uUpaW1N25YtcXd14fbde1rj2BoaSqvGjWjesCHODg5MHDEcfX099h45ojG9t4cHwwcMoEHt2uhqOS7LZs+iWYMGODs64u7izNRxY3n77j33Hj7UGkd+aKMWvqWQh91H8fABSQo5EWd/R5maipm75tHU+IhwYp4/J1mhICUmGtnd2yTKpBgWz5zZU9y/ArGvXvLu0gUSpVJSYqKJefmCj4k5f4j9ZPPWrbRp1YqWzZvj7OzM5Inp1/M9e/dqTL81OJgqlSvTq3t3nJ2cGDJoEF6enmwLCVFL9+79e2bMmsWs6dMpWPDzkw3T0tI4fHAPrdp0wr9CZewdnBgUOAa5TMrlS+e05itbrgIdOvWkQqWqWtNUr1mXNu264Fu67BfFcezwXpq16kB5/wDs7B3pP2gUCrmUa5f/1JqvdFl/2nTojl+FKlrTVK5aC59SZSlWvAQ2tvZ06taXhIR4Xr14liNtfrl2CIIg/Bv9v+qgT5o0CXd3d2rXrk3Dhg05ePAg/fr1o3z58nh7ezN37lxVWktLS4YOHYqnpyfNmzfnjz/+oGrVqri4uHD+/HkA4uLi6NGjB/7+/pQvX54TJ7R3TPfu3UuFChUoW7YsjRs3RqFQEBUVhaurqyrNixcvKFOmDAD79u3Dzc0Nf39/evfuzahRo/7n752SksK9Bw+o5J851VsikVDJ35+bt+9ozHPzzh219ACVK1VUpf/0S7xelo6RRCJBV1eXazdvao1FIX1PbIwCJzdf1Xv6BoWxsXfh1XPtf5Bml5QQD4BBYSPVeynJSezasoRGrXthZGyqMV9KSgr3w+5TsWJmR1oikVCxQkVu3bqlMc+tW7epmK3jHRAQwK3bmtN/iZSUFO7dD6NSxczpxRKJhEoVK3Dz1m2NeW7evkVARfU4KgcEcDMjbqVSye9nz+Jgb0e/gYOoXqcuHbt149SZM9rjSE3l0evXlHPLbIcSiYSyrm7ce/Hii75LUnIyqcqPFClcWOPn8pgYLt27z3cVtf94kZKSwv2HD6noV14tjorly3Pr7t0viuPvEhERjkwmpVy5zPZvZGSEp6cX9+5pPl9SUlJ4+PAh5cplTsGUSCSUK+fHvXvq8Z86dYJWLRvTp3dX1q5dSWK2zkdKSgphDx9RoVxZtbIqlCvL7XvaO9N/xcePHzl25gwJiYmU8vLSmCYlJYV7YWFqPzpJJBIqVajATS1t/+atWwRUVJ8yn95GNbfpSKmU38+epVXz5lpjVcXhn+1c8ffn5m1t58ptAipkv35VUktfppQvZ37/g3fv35OWlsalK1d4/vIVlbW0U1UbLZ+tjZYrz61cOvV/VWxcHAAmxsZa0+R1Gy0gkWBgWZS4N6/V3o978xqDYsW/6HsaWpdEz8SUuLcRmd/B1o7kKAX2DRvj3qU7js1bUsTeQWsZ6dfR+1TKdj2vVLGi6rqYXXob1X4dhfRr6fgffqBH9+64OGufSp7V+3dvUShk+JYup3qvsKEhLq4ePHrw95y3X+LD+7dEKeR4+2ZePwoXNsTJxZ3Hj8L+tv2kpqZw5tQRChc2xM7eSe2z/HLtEATh76VMy5/bf9H/m3vQL126xLFjx7h9+zYKhQIPDw8GDRrEzJkzMTc3JzU1lWrVqtG+fXtsbW2RSqW0aNGCRYsWUa9ePZYuXcrvv//OiRMnmDlzJvv27WPatGk0adKEjRs3EhkZSdWqVbl//z4FNEyvrlGjBs2bN6dAgQIsXryYZcuWMXHiRNzd3bl48SIVK1Zk586dtG3bloSEBAIDAzl37hxWVlbUrVsXPz/N914BJCUlkZSkPq2xQFISehnTmuUKBR8/fswximphZs6z55o7YZFSqcb0kVIpAI4ODpSwsmLhihVMHjuWwgYGbA4O4d3796o0msTGKAAwNDJRe9/QyIS4jM8+J02p5OjeTdg6ulOsROb9lkf3bsbWwQ0PX+119akuzLN/N3NznmuZ6hspjcTc3CJbegukuXzPz8k8JjnLfaYtjkgpFhbqcVtaZB4TmUxGfHw86zZsZMjAgYwYGsjZP/9k2KjRrF+9Cv8sHYtPouPiUCqVmBYpova+WREjXr3XfC9pdusOHsLC2EStk5/ViUuXMdDXo2opX42fA8ijotLrw8xM7X0LczOev3z5RXH8XeTy9CmYZtliMTUzQybXPD0zKioKpfIjZmbqx8fMzJxXrzLPsdq161G8uBUWFpY8e/qENWtW8PrVS36cOl2VRhEVzUelMmddmJnx/NWrr/puj54+o2fgUJKTkzEwMGDuj1NwsrfXmFbVRrO1OQsLc+1tVMN1w9LcXOs1Yf/BgxQ2NKRuLusSaL1+mZvzTMuPSFrjkGXGMWHUKH6cPoM6TZpSUEeHAhIJP06YgF85zaOU8qgoPiqVmGs6Ln9TG1UqlcxduowyPj64ODpqTZfXbVRHX58CEgmp2abhpyYkUNjUVGvcEt1CuHXuikRHQpoyjYhzf6g6+QUNDNApVAjL0mV5f+Uy7y5ewMjWFtt63/H84H7is3TkM+tBrrltWOR2HY3M2TYsLNTa6LoNG9DR0aFLx45av0t2CkV6vZuYmKq9b2JqhkLLLRD/hCiFPCMO9bZhYmKGQvH1cVy/epHli2aSnJyEqak5YyZOo4ix+v/n+eXaIQiC8G/1/6aD/ueff9KyZUsKFSpEsWLFqFUr/aIeHBzM2rVr+fjxI69fvyYsLAxbW1uMjIxUaXx9fXF3d0cikeDr66vqyB0/fpyDBw/yyy+/AOkj6u/evcPKyirH/l++fEnbtm159+4dCQkJqhHctm3bEhoaSsWKFdm1axcbN27kwYMHeHh4YJMxbat169a8yGU0c8aMGUydOlXtvR/GjGHSuLFfV2m50C1YkAUzZzBl2nSq1v8OHR0dKvn7UTUgQG0RiVtXz3JwxxrV6059vz6mQ7vW8z7iFb0CM7/zgztXeP7oLv1Hzfzq8v+tlBn1XqtmDbp1SV/MyMPdnRs3b7Fj5y6NHfSvtf3kKX69fp05gwZqnVp97NIlapcrp/XzvHbq5HEWLJijej1t+ux/bF9NmmSO9jg5OWNuYcHoUUMJD3+DWQmzXHL+PRxsbQhetYLYuDhO/v4HU2bPYc38uVo76f+0Pfv206RhA9WPid9S0I4d3Lpzh6Xz5lLCyoqr128wbc4cihW1JOAzC+f9U2YsWsTjZ8/YsGSx2vv5pY0a5ZLvSyhTknm6OxRJQV0MS5bEqlJlkmNiiI8IV60bEv3iOdI76aOsiTIpBsWtMPf00thB/yfcvXePrcHBhG7bpvHH9k8OHj7MlJ9/Vr0eN/GXbxFeDn/+cZoNa5aoXo8cNzWX1F/Py7s0v8xeRkx0FL+ePsrShTP4cdpC4Mvu0/+75OW1QxAE4Z/2/6aDrmnlwadPn7Jy5UrOnz+PiYkJbdq0UY1EZ73oSyQS1WuJRMLHjx+B9NGOAwcOYP8Ff9wGBgYyceJE6tevz8GDB9m4cSMALVq0YNq0aQwdOpSEhATc3Ny4fv36X/pu48ePZ8SIEWrvFYiPU/3bzNQUHR2dHIuzSOUyLCw03xNsaWGhMb1llvTeHh7s3LKZmNhYUlJSMDczo1Ov3nh5Zt6D6O5dHptRLqrXqakpAMTFRlEkyy/8cbFRFLf+fD0e3rWeR/eu0WPwjxibZsby7NFdZNJ3zJzQSy39jg3zsXPyoEW1ILW6yL4gnFSWW11YIpNJs6WXak3/JTKPSc5yLS0sNcdhaYFUqh53pDTzmJiZmlKwoA7OTurTDZ0cHbl244bGMo0NDZFIJDkWhJPHxGJmXERjnk9Cz5xh+6nTzPx+AE7WOVfTB7j95Cmv339gwmdW2DUzMUmvj2wjTVKZXOviWn+XgMpV8fDMnOadkrFYoVwuxyLLsVDI5Tg7u+TID2BiYoJEoqMa2fxELpdhZq69nXxaPfvNm9d4Z3TQTU2M0ZFIctaFXI6l2dfVha6uLrYl01dy9nRz496DhwTv3sNEDYvoqdpotjYnlcqw1LKWgKbrRqRM/brxydXr13n24gVzZs7INWat1y+ZDEsLzfWhNY6MY5GYmMii5StYNHsWNTJWiXZ3dSXs4UM2bg3S2EE3MzFBRyLJsSCcVC7PdY2HLzVz0SL+OH+BdYsWUjzbomT5pY1+ei7Fx8RE0pRKChoYqKUtaGBAanx8rt8zOToaSO9865maUbRMWV5EhGeU+ZGkbKO8yQo5hYtrfgKFmZmZ5rYhlWpsc5B++1qOtpEl/bXr15HJZNRr1Ej1+cePH5kzfz5bgoI4fjh9TYxaNWpgYJp53UtJSf+/LSpKoVafUQp5riuuf62yfpXUVlHPjEOOaZbrRVSUHHuHr49DT1+f4lbWFLeyxsXNk9FDe/Pb6WPULJ85gyq/XDsEQfh7iVXcv53/N/egV65cmX379pGSksKHDx/49ddfSUtLw8jICGNjY16/fs3Jkyf/Upn169dn8eLMkY4bWjpBANHR0ZQsWZK0tDQ2b96set/ExAQ3NzfGjh1Lm4zH73h4eBAWFsabN2/4+PEju3fvzjUOPT09jI2N1basPzDo6uri5e7OxcuZi7Aplcr/Y+++w6I4/geOvwERUJQqsYH0DlZEEdRojL332BN7F0VFY03sXVGxxUq1l0SxRY0msSsqit3YlbsDBTlFud8fBwcHd1iSyH1/mdfz7PNwx+zs52Zm53ZvZ2f58/QZKvpofuRJRW9vtfQAf5w6pTF9CVNTLC0suPfXfa5cu6Y2IZeRsQmWpUqrllKly2Nawpzb13Puk3wtf8WDezextXfV+hkVCgW/bP2Ja5dO033gBCysbNT+H1i/JQNCZtN/1CzVAtCwVXdadh6gVhYe7h6cPJUzAVpmZianTp/CV8sM476+Ppw6rT5h2p8nT+Lro31G8vcxNDTE08Odk6dOq8Vx8tRpKmoZCl7Rx5c/T6nH8cfJk1TMitvQ0BAvT698ty3c/eseZcvkH9UBypEQLuXLc/56zgRvmZmZXLhxA88CfniKPXSYyP0HmdavL64FPFYv7uRJXMqXx6mc5hN4VRyGhni4unLq7Fm1OE6dO4dvAY/S+icUK1aMcuXKq5YKFRywtLTi/Lmc9p+WlsbVqwl4emreXwwNDXF1deXcefX4z58/i6en9vhv3VKWe+5bHQwNDXF3deH0uQtqeZ0+f0HrI+c+VaYikzdZB/R5GRoa4unuzsnT6vvKydOnqail7Vf09eXPXG0astto/ja9bcdOPD08cHfVvt+rx5FnXzlzmoo+2vYVH/7M23+dPKVK//btW96+fYu+vvpXoIGBPpmKTK1xeLi6cvLcObU4lG1U8338H0KhUDBz0SIOHz/OivnzKKfhcYi61kYVmZmkJz2neDn1x3YVL1uO9GdPP+yDA+jpoadvkJPn8+cY5RkiXtTMnDepmp8ooexHPTh58qTaZzp56pSqX8xL2Ubz9KN//qlK37xpU7bFxrIlOlq12JQqRa/u3VmxbFnOZy1enNJlyqmW8rYVMDe35FJ8zg/sr16lcfPGNVzc/tn9NjcTk2KqE+YvSpelXHk7zMwtSLh0QZUm/VUat28m4qzlcWh/h0KRScZb9T5EV/oOQRCE/1X/mSvo/v7+1K9fHy8vL2xtbalYsSKVK1fm3LlzuLu7Y29vT2Cg9llUNZkwYQLDhg3D19eXt2/fUqVKFTZt2qQx7aRJk2jevDmWlpbUqVNHbch6+/bt6dmzJ4mJiQCYmJiwcOFCvvzyS8zMzHB3d6dkARMGfYjunTsz/ocf8PJwx8fTi40x0aTL5bRq2gyAcVOmYFOqFMMHKh+x0rVjB3oNGMj6iEiCagWw78BBrly9xqSxY1V5xh06hKW5BaVLf8GNW7eYNX8B9WrX1jrJEoCenh7+dRrz24HtWJUqjbmlDb/ujaVESQu1e8c3LPsBdx8/qgc1ApRXzi+dPUGn70ZhZGRCatZjXYyMi2FYtCimJc01TgxnZmGd72S+a5cuTJw8CU9PT7y9vIiMjCQ9PZ2WzVsA8P3ECdjY2DB08BAAOnf6hj59+7Bh00aCAgOJi4sjISGBCeO+V+WZkpLCkydPePb8OQB3790FlPdCWltrviLevUtXxk+ahJenB95e3mzKiqNVC2UcoRMmYmNTihFDlHF0/aYzvfr0Yd3GjdQODGRv3H6uJCQw+fvxqjx7de/GqLGhVKtSmerV/Dj+++8cPfYba1eu0FonberWZm5kNK62trhVsGP70WPI37zh66wJe2ZHRGJtZsa3zZoCEHPoMBv37mNMt658YWmBNOuKmImRESa5fhhKk8s5djGevi2aa912bt06dGDCjBl4urnj7eFOxOYtynpp0lhZL9OmYWNdiqH9+gLKK0XZjwh7m5HBs6Qkrt24QTETE+yybg959eoVfz18qNrGw8ePuXbjBmYlS1LmC82TWenp6dGmTXsiItZTrrwtpUuXYd3a1VhZW1ErMOdZySGjhlErsDatWrUFoG27TsyeNQ03V3fc3D3YtjUWuTydRg2V5fbo0UMOHzpAdf8alCxpxu3bt1i+bDG+vpVwdHIGRc6Vx65t2zJp9hw83FzwdnMncts20uVyWjRqCMDEmbMpZW3FkN7fqcri9j3lfdAZb5VlkXjzFsVMjFVXzJesXkOt6n6UtrEh7VU6+w4f5uzFeMJm5txbnFf3rl0YP2kyXh6eeHt75WqjyjoNnTgRm1I2jBiifERU186d6NWnL+s2blK20f1xyjY6fpxavqmpqew/eJBRH/j4u+7fdGb8lKl4eXjg7eXJpuho0tPltGqm7L9CJ01W7iuDBinj6NSRXv36sy4igtq1arF3/wGuXL3K5HGhgHJCtWpVqjBv8RKMjIwoW7oMZ86fY9cvewkZNkxrHF3bt2fizJl4urrh7eFO5JatpMvltGyk7Ke+nz4Dm1LWDO3TJ1e93Muql7dZ9XITExMT7LLqZcbCRew9dIgFP/5I8WLFSMq6imhavDjGWobvFlYbfXE9ZwJQyaV4ytX5kvTnz0l//gwrb1/0DQ2RXVd+j5Wr+yUZaWk8yzpJs65YmfSk57x5kYKegQElbO0wd3HhUa5Z55PiL1C+XgNePX5M2uOHmJa3pYRdBe7u0TzzN0D3rl0ZP3EiXp6eeHvn6kezJg8L/f57bGxsGDFU+QjMrp2z+tENG6gdFMTeuKw2OmECAObm5pjnuY++SJEiWFtb42BvrzUOPT09mjRrzfYtkZQpUw6bL0oTE7UOC0sr/HLNjP7DpNH4+deiURNlfPL0dJ48eaT6/7NnT7h75xampiWwLqX87kp9+YKkpOfIskZcPXp4PytWC0zyzOeip6dHwyat2Lk9mi/KlKOUzRdsjdmIuYUVVXI913zmD2Op6hdAg0bK7xu5PJ2nueJ4/uwp9+7eorhpCaytbXgtl7NrezSVq/pjbmHJy5cvOBi3G5lUQvUa+Z8hryt9hyAIwv+i/8wJOiiHgk+bNg2ZTEb16tXx9PRk/fr1GtMmJSWp/s49u3vp0qW5fFl59bd48eKsXr36g7bdqlUrWrVqpfF/PXr0oEePHmrvNWjQgNatW/Pu3TvatGlDlSpVNK77oRo1+Appsoylq1aTJJHg7uJC+IIFqiGij588RU8v52pSJV9fZk6dQtiKlSwKD6eCrS2LZs/CJdeMtklJEuYsWoxEKqWUtTXNGzei/7ff5tt2XrXqtSDjzWt2x65Cnv4KOwc3uvYbSxHDnBnhpUlPeZWWc9XkzAnlDPnrl05Vy6tl5/5Uql73o8qi4dcNkclkLA9fjkQiwc3VjaVLwlRD1p88eaJ2Za1SxYpMnzaNpcuWEbY0DDtbO+bPnY+zc85Q0qPHjjJpymTV67FZJwL9+vSlfz/Nj3xr3PBrZDIZYcvDlXXi5kp42BLVkL7HT56gr59zD2TlihWZNW0aS5YtZ1HYUirY2bF4/jxccsXxVb16TBw3jtVr1zJjzlzsK1RgwZzZVKms/fE8dStXJiU1jQ374pC9eIFjuXJM69cHi6yJ457LktHPdS/mzyd+J+PdO35cp77vdG34Nd2yTiABjp47DwoFX2qZdCuvhvXrIUtOZvlPP5EkleLm7MyyuXNUw4cfP32m1kafJSXR6buc5wJviI5mQ3Q0VStVYs3iRQBcSUykz7DhqjTzwpYC0LxRI37IqiNNOnbqglwuZ8H82aSmpuLt48PMGfMoWjTnhOnRo4ekpCSrXn/5ZX1SUpJZt241MpkUJydnZsych0VW/EWKFOHcuTNs3RqLXC7HxsaGoKC6dOnaI+/m+frLushSUghftwGJTIarkyNLZkxTTRz35Nkz9HK1jecSCd/0zxkpsnHzFjZu3kJVX19Wzlf2X7LkZCbOmkOSVIpp8WK4ODgSNnM6NQqYm6Dx11ltNDyrjbq6Er4kTxvNVSeqNrp8GYuWLqWCnS2L581Va6OgfEayQqGgScNGWretFkeDBshkyYStXJkTx6KFOXE8faq2z1b29WXWDz+wJDycRcuWU8HWlsVzZqv1X3N//JGFy5YyduIkUl68oGzp0gzt35+ObdtojaNhvS+RpSSzfN1aJFIZbk5OLJ01S9VGnzx7phbHc4mETn36ql5viIllQ0wsVStWZPXCBQBs3qU8+ewzYoTatqaMGU2LRtrLp7Db6IvbtyhibIxNVT+KFCuGXJLEvb0/8y5r4jjD4iXIPRpS37AIZWoFYVi8OJlv3/ImJZkHvx7mxe2cZ9O/vHuXx8ePYV2pCqUDavE6JZn7B/fz6ukTreXQuGHDrH50eVY/6kb40qV5+tFcbaNSJWZNn86SpUtZFBaW1Y/Oz9dGP0WL1h14/VrOyvCFvEpLxc3Dm9AJ0yma62knT5885uWLFNXrW7euM3ViiOr1hrXKH1PrfNmAgUOU7585/SfLw3KOQxbNV/6o1q5DV1q07ZIvjqYt2vP6tZy1Kxfz6lUqLm5ejAr9QS2OZ08f8/LlC9XrO7duMGNqzhwxkRtWAhBY5yv6DhyJnr4+jx7e5/jRg7x8mYJpiZI4OLkyfvIcytvmH22lK32HIAjC/yI9xX/ohoKOHTuSmJjImzdvCAkJoVevXoUdklZz5swhIiKC169f89VXX7F48eICJ6zJ642WmXw/ty1/fNijuv5trYJ0YyicoX7h724Pjx4p7BAA+KKq9tn2P6ekDIPCDgEAC0XB9+5+LkZ/8z73f0TWPB+FLSMt7f2JPgNJZtH3J/oMXuzdWtghAODapeA5LT6XK3eeF3YIvM7QjX2livPnnSROG0PTgudOEQTh001fe6KwQ9BoXK9a70/0P+Y/dQU9JibmX9/G2rVrWbRokdp77du3Z/z48VrW0CwkJISQkJD3JxQEQRAEQRAEQRD+X/hPnaB/Dr169dLpK/OCIAiCIAiCIAiCbhIn6IIgCIIgCIIgCIJWmYV/l+Z/xn/mMWuCIAiCIAiCIAiCoMvECbogCIIgCIIgCIIg6AAxxF0QBEEQBEEQBEHQ6j/04K9CJ66gC4IgCIIgCIIgCIIOECfogiAIgiAIgiAIgqADxBB3QRAEQRAEQRAEQSsxi/vnI66gC4IgCIIgCIIgCIIOECfogiAIgiAIgiAIgqADxBB3QRAEQRAEQRAEQatMMYv7ZyNO0P+f0jMyLuwQAGhey7mwQ9ApT2TphR0CRpVrFnYIABQpoRtttMTrd4UdAgAKfd0oD/T0CjsC3mVkFHYIABiamxd2CACULuwAsjVuW9gRAJCUUvj9KICXg3VhhwA6sq8o9A0KOwQAfj93s7BDACCgijj2EQTh04kh7oIgCIIgCIIgCIKgA8QVdEEQBEEQBEEQBEErMcL98xFX0AVBEARBEARBEARBB4gTdEEQBEEQBEEQBEHQAWKIuyAIgiAIgiAIgqBVphji/tmIK+iCIAiCIAiCIAiCoAPECbogCIIgCIIgCIIg6AAxxF0QBEEQBEEQBEHQKlNM4/7ZiCvogiAIgiAIgiAIgqADxAm6IAiCIAiCIAiCIOgAMcRdEARBEARBEARB0EqMcP98xBX0/5ComBi+btKEKv7+dO7WjUuXLxeYPu7AAZq3bk0Vf39at2/Psd9+05p2yo8/4l25MhsjIv7RmBUKBeErwmnYuCG1gmoxcNBA/vrrr7+db0xsDE2aN8U/oAbdenTn8nvK4sDBA7Ru2wb/gBq079iB344fV/v/ocOHGDBoIHXrf0nlalVITEz8oDgUCgXr1q6mQ/uWNGlcj5CQYTx4cP+96+3csZUu37SjcaN6DB7Uh2vXEtT+Hxw8mK/qB6otCxfMKTCOn35aRZs2zfn667oEBw/9oDi2b99Kx45taNCgLgMG9Obq1QSN6RQKBaNHB1O3bgC//XZUa37KNtqUKv416Nyt+we20TZU8a9B6/YdOPaber2MnzgJ78pV1JZ+gwa993MpFApWrAynSdNG1K4TyODBH9buNm+JpVWrFgTVrsW33/bkypUrav/fvmMbAwb048t6dfGv4cfLly/fm+eHiN0cS/OWzQkIDKBHrx5cvlJwuX2MqJhYvm7ajCo1atK5+wfWSZs2VKlRk9YdOnAsz74CcOv2HQYPH0GN2rXxC6hFx67dePz48UfFFb11K43btsPvy3p06dOHSwma2x7Azdu3CR43nsZt21GxViCbYmI/alu56Uob1ZU4RB+WQ1fqJGrzZr5u2YoqgUF07vUtl/L0Q/niOHiI5u07UCUwiNadv+HYiRNq/3/16hXT5syhfrNmVA2qTYuOHYnZuu39ccTE0LBJE6r6+/PNRxxzVNVyzLEsPJzmrVtTvWZNAmrXpne/fsRfuvTeOBQKBds3b2T4gK707d6aOdPG8eTxwwLXSbx6mYVzpjBiQDd6dW7KudN/FJh+/eowenVuyv5fdrw3HkEQhPf5T5ygJycns3Llyn91G5MnTyYsLOxf3cbfsTcujtnz5jGgXz82R0bi5upKv4EDkUilGtOfv3CB0aGhtG7Vis1RUdSrW5ehwcHcuHkzX9qDhw8Tf+kSNqVK/eNxr9+wnuiYaELHhrLup3UYmxgzZOgQXr9+/cl5xu2PY96C+fTr05fITZG4urowcMggpFrK4sLFi4SOH0erli2Jioikbt26BI8K5mauskhPT6dSpUoMHTL0o2KJiY5g+/YtDBs+irCwlRgbmzB2bDBv3mj/fL/+eojw8DC6de9FePgaHJ2cGTsmGJlMppauSdPmxG7eqVr69B2oNc+oqE1s3bqZ4OAQli9fjYmJMSEhIwos58OHD7Js2WJ69vyWVavW4uTkTEjICGSy/OW4ZUsMenp6BZaFso3OZ0C/vllt1IV+AwcV0EYvMjp0HK1btWRzVKTWNhoYEMCRA/tVy+wZMwqMA2Djxg3ExsYwZkwoa1avxdjEhGHDC253Bw7sZ9GihXzXuzfr12/E2cWFYcOHqLUruVxOjZo16dmz53tj+FD7D+xnwcIF9Ondh00bNuHq4sqQoUO0tuePsTduP7Pnz2dA375sjozAzcWVfoMGa6+TixcZPW48rVu2YnNkdp2MVKuTv+7fp/t33+Fgb8/alSvZGhNN/z69KWpk9MFx7Tt4iLlLwuj3bS+if1qDm7MzA4KDkeTZB7LJX7+mfNmyDB3QH2srq48rhFx0pY3qShwg+rBsulInew8cYPbCRQzo/R2bN6zHzcWZfkOHaY8jPp7REybQukVzNm/cQL06tRkaMpobt26p0sxeuJDjf/zJjClT2BUTTbdOnZg+dy6/HjumNY59cXHMmTeP/v36ERsZiet7jjkuXLjAmNBQ2uQ65hiWpzwqVKjAuDFj2Lp5MxvWrqVc2bL0GzjwvX3dL7u3cGDfbrp/N4gJP8ynqJEx82dOIOPNG63rvH4tx9bOga7fDigwb4Czp3/n1s1rmFt8et8iCIKQ23/6BP3du3eFEE3h2LBpE+3atKF1y5Y4OTkxcfx4jI2N2b5jh8b0m6KiqBUQwLc9euDk6MiQQYPw9PAgMjpaLd3TZ8+YMWsWs6ZPp0iRf/aOCYVCQVR0FN99+x1169TFxcWFqZOn8jzpOUeOHvnkfDdFRNCmVWtatmiJk6Mj40OVZbFj106N6aOiIwmoWZMe3Xvg6ODIoAED8XB3Jzo2RpWmWdNm9OvTlxrV/T/q823btpkuXbtTq1YQjk7OjBnzPZIkCSeOax+tsHVLNE2aNKdRo6ZUsHdg+PAQjIyM2bdvj1o6YyNjLC2tVEvx4sW1xrFlSyzduvUkMLA2Tk7OhIZOJCkpiePHtR+Abd4cTdOmLWjcuBn29g4EB4/G2NiIX35Rj+PGjevExEQxevS4Astjw6YI2rVpndVGHXO1Uc31sikqkloBNXO10YF4ergTGR2jlq5o0aJYW1urFrOSJQuMQ6FQEB0TRa9e31Kndh1cXFyYPGkKSUlJHD1WwNX/qEhatmxF82YtcHRwZOyYUIyNjdm9Z5cqTedO39Cje0+8vXwKjOFjRERG0KpVK1o0b4GjoyOhY5Xb3bV71/tXfo8NEZto17o1rVu2wMnRkYnjxynrZKeWOomMolbNmnzboztOjg4MGTgQT3d3InNdsV68dBlBtWoxcvgwPNzdsbO15cs6dbCytPzguDbGRNOmeXNaNW2Kk4MD34eEYGxkzI49ezSm9/bwIHjwIBp/9RVFDQ0/rhBy0ZU2qitxiD4sh67UyYbIKNq1aknr5s2V++zYsco4du/WHEd0DLVq1ODbbt1wcnBgSP/+eLq7ERm7WZXmQvwlWjZtQvWqVSlXtiztW7fGzcWZS1e0j1rZsGkTbfMcc5h8wDFHrx49cMx1zBGV65ijaePG1KxRA9vy5XF2ciJk5EhSU1O5fuOG1jgUCgUH9u6keeuOVKlWE9sKDvQZOBKZTMq5M9qvivtWqkbbjt2p6hegNQ2ATJpExLpw+g0KwcDAoMC0gvC/LlOhm8v/R/+JE/Tx48eTkJBApUqVmDp1KvXq1aNJkybUqlWLFy9eUK9ePapUqUKlSpU4ePAgAB07duTw4cOqPOrVq8f58+dJS0ujZ8+e+Pn5UbVqVQ4cOPBBMUyaNAk/Pz+8vb0ZMWIEAHv37qV79+6qNBs2bGDYsGEATJgwATc3N+rVq0fjxo3Zo+XA80NkZGSQcPUqNfxzTh719fWp4e/Pxfh4jetcjI+npr/6yWZAzZpq6TMzMwn9/nt69uiBs5PTJ8enzcNHD5FIJFSvXl31nqmpKd5e3lz6gGFtmmRkZHD12lX885SFf3V/4rWURXz8JfzznHjXrFmT+Eua03+ox48fIZVKqFLFT/WeqakpHh6eJCRoHgqYkZHB9evXqVKlmlr8VapUIyFBfRjjoUMHaNO6Kb2/68bq1eHI5fIC46haNSdPU1NTPD0LjiMxMVFtHX19fapW9VNbRy6X8+OPkxk+fCRWBVy5/LQ2eum9bRTg9Jkz1K5Xn2atWjN12nSSk5O1xgHwKLvd+am3Oy8vLy5pqfOMjAyuJV5TW0dfXx8/v+qf3FY/REZGBteuXcPfT73cqvtV/9vtU1kn16jhr/6ZavhX52K85s908VLB/UZmZibHjh/HvoIdfQcOonb9r+jcvTuHfv31o+K6mnidGn7qba9GtWrEXy54KO/foSttVFfiANGH5c5LF+okIyODhGvXqJGnH6rh58dFLf3QxUuXqFndT+29gBo11NJX8vXh12O/8fTZMxQKBafOnOHuX/cJ8Nf8g/SnHnPU+IDyyL2NLdu2UcLUFDdXV41pAJ4/e0JKsgwv70qq94oVK46Tkxs3b1zTut6HyMzMZOXSeTRq1pZythX+Vl6CIAi5/ScmiZs2bRqJiYmcOXOGI0eOMG/ePK5evUrZsmXJyMhg586dlChRgidPntCwYUMuXrxI+/bt2bx5M/Xq1ePZs2c8evSIypUrM27cOJo1a8a6detISkoiMDCQq1evvjeGYcOGMWXKFBQKBe3atePEiRN89dVXDBw4kDdv3lC0aFE2b97M2LFjOXXqFHFxcVy6dInk5GTc3d0ZVMB9Z69fv843jE//3TuMsoaMymQy3r17l+8KlZWVFXfu3tWYZ1JSUr701lZWJEkkqtdr1q7FwMCArp07v/fzfwpJ1rasLNUPiiwtLVX/+1iy5GTevXuHZd6ysLTkrraykCRhmScGK0urT45BFUvWMEoLCwu1980tLJBqGGIJkJKSQmbmOyws1OO3sLDk/v17qtf16jXgiy9KY2VlzZ3bt1i1ajkP7v/F5CnT8+WZPTwwb5lYWFhqHTqYkpJMZmb+crSwsOSvv3LiWLp0EV5ePgQG1taYTzaZLFlLG7V8TxtVr5e8bbRWQABf1atHuXJluf/gAYuWhNF/8BAi1q/TerUju17z1rmlpRVSLXWerKVdWVpYck9L/P8Erdu1tOTuvb+33ex9JW8ZW1kW1G9IsLLK229YqupEKpXy6tUr1qxdx5CBAwkeNpTjv//O8FEh/LRyBX5Vq35AXCma24qlJXdytb1/mq60UV2JQxmL6MNAd+okZ5/VsG/c07xvJEkk+b/rLS1JkubEMW7UKCZPn0H9Zs0pYmCAnr4+k8eNo1qVyhrz/KeOOazylAfA0WPHCBk7FrlcTilra1aGh+drf7mlpChvmyhppp6mpJk5Kcmab4n5UL/s2oKBgQENGrX4W/kIgiDk9Z84Qc+rVq1alC1bFsie+GU0x48fx8DAgMTERN68eUOTJk0YPXo07969Y/v27bRp0waA/fv3s2fPHn788UcA0tLSePr06Xu3eejQIebMmYNcLufZs2c0atSIWrVqUbduXfbv30/t2rVJSEggICCARYsW0bp1a4oWLYqNjQ1ffvllgXnPmDGDKVOmqL33/bhxTBw//lOK54NcSUhgU1QUmyMj33tv8Yfau28v02fkHHwtXLDwH8lXV/yy9xd+mDZN9Xra9Nn/2raaNWup+tvR0QlLKytCRg3j0aOHJF5LYN68nG3PnDn3X4nhxInfOHfuLKtWrftX8v8QTRo1VP3t6uKCq4sLjZu34PSZM6qrNfv27WXmrJz7OufPW/DZ4/yvyMyaAvbLunXo3rULAO5ubly4GE/slq0fdIL+/82HtFFdiePQwf0syDVRm+jD/l260jYiYmOJv3yZsHlzKVO6NGfPX2DanDnYlLKmZq4Rbp+Dn58fW6KjkSUns3XbNkaNHk3Exo2qk/s/jv/K+tU58wENHz35X4nj7u0bHNi3k8nTF/9jx0CCoOsUYhr3z+Y/eYJerFgx1d8RERGkpaVx/vx5ihQpgrW1NW/evMHU1BQ/Pz+OHTvGli1bmD1beTCQmZnJ7t27qVDhw4czyeVyhg8fzpkzZyhTpgyjRo1SXfHu0KED0dHRpKSk0KxZM/T09D56BwgNDSU4OFjtPf1c99dbWFhgYGCQb3IWiUSidcIka2vrfOmTcqU/d/48UqmUBk2aqP7/7t075syfz8aICPb/8stHfQaA2kG18fbyVr1+kzWBi0QqwdraWvW+VCrFtYAhbQWxMDfHwMAg31UViVSqdfiitZU1UqkkT3pJgUO2NalTuw7lKzirXmdkKD+fTCbDyirn8yXLZDg5OedbH8DMzAx9fYN8kxjJZFIsLLXH4+7uCcDDhw+oVSsQDw+vfHFIpVK1OGQyKc7OLlriMEdfP385ymRS1RWpc+fO8ujRQ5o1a6iWZtKk8fj4VCRi3RrVexYW5lraqPQ9bVS9XpIKaNMAtuXLY2Fuzl/376sOcIOCauOVq93llEfedifBxUVzuzPX0q6kMimWf2NSsvfRut0C2vOHyt5X8paxRCrBOlc7yc3a2gqJJG+/kVOHFubmFCligJOjo1oaRwcHzl248IFxmWluK1Ip1gXsA39XYbZRXYmjZkAg7h6eqjSiD1P2YTrTNsy1xCGVYp1nZIsqDiur/N/1ufYluVzOomXLWTR7FnUCAwFwc3Hh2vXrrNsUofEEvaBjDq3fsxqOOTQdoxQzMcHOzg47Ozsq+vrStEULtm/fTu/vvgOgUlV/HJ3dVOnfZmQA8CJFhnmuURsvUpKxtVfvhz7G9WtXePkihVFDeqrey8zMJHrTGvbv3cnvJ7TPwSAIgvA+/4l70EuUKKH1cUYvXrzgiy++oEiRIuzZs0dt2HL79u1Zvnw5Dx48oHJl5VCur7/+msWLF6vSXPiAg0q5XI6enh5WVlakpKSwI9ckKV999RW//fYbERERdOjQAYCAgAB27txJRkYGz58/58iRIwXmb2RkRMmSJdUWo1wzIhsaGuLp4cHJkydV72VmZnLy1Ckq+vpqzLOiry9/njql9t4ff/6pSt+8aVO2xcayJTpatdiUKkWv7t1ZsWzZe8tEk+LFi2Nra6taHB0dsbKy4vTp06o0qampXL5yGR+fT5tky9DQEA93D07m+myZmZmcOn0KXy1l4evrw6nT6mXx58mT+PpoTq9N8eLFKVeuvGqpUMEBS0srzp87o0qTlpbG1asJeHp6a8zD0NAQV1dXzp0/qxb/+fNn8fT00rgOwK1bykl0rCytKFasOOXLl1ct9vbKOM7liSMhoeA43NzcOHdOPY6zZ8+o1vnmm26sWbOB1avXqRaAQYOGMnbs+Hz5Kduoer0U3EZ9NLTRk1rTAzx5+pTklBRKWec8cSBvu3Nw0NDu0lK5cuUKPlrq3NDQEHc3d7V1MjMzOX369Ce31Q9haGiIu7u7WvvMzMzk9JnTH90+NeXt6eHOyVPqn+nkqdNU9NX8mSr6aOg3TubUiaGhIV6eXty5qz7c9u5f9yhbpvQHx+Xh5srJM+pt7+TZs/h6a98H/q7CbKO6EkexYsVEH0b+Pkyn2oa7Oyfz9EMnz5ymopZ+qKKPD3+ePqP23h8nT6nSv337lrdv36Kvr364aGCgT6YiU3scGo45/nzPMcfJAo45tMlUKHiTdRIOYGJSjC9Kl1UtZcvbYWZuQcLli6o06a9ecetWIs4u7gXmXZCAoHpMnRXGlJlLVIu5hRWNm7dhZOgPn5yvIAgC/EeuoFtZWVGlShV8fHxo37692v+6dOlCs2bN8PHxITAwEDs7O9X/mjRpQs+ePRk6NOfRWRMmTGDYsGH4+vry9u1bqlSpwqZNmwrcvrm5OT169MDT05OyZctSo0YN1f8MDQ2pU6cOBw4cICBAOVuov78/9evXx8vLC1tbWypWrEjJ98zc+j7du3Zl/MSJeHl64u3tzabISNLT02nVUjmMMPT777GxsWFE1mft2rkzvfr0Yd2GDdQOCmJvXBxXEhKYPGGC6jOZm5urbSN7BIKDvf3fijWbnp4enTt1Zs1Pa7C1taVc2XIsD19OKetS1K1T95Pz7dqlCxMnT8LT0xNvLy8is8qiZXPlfWTfT5yAjY0NQwcPAZQzb/fp24cNmzYSFBhIXFwcCQkJTBj3vSrPlJQUnjx5wrPnzwFU9/9aWVmpXYXN+/natGlPRMR6ypW3pXTpMqxbuxoraytqBQap0oWMGkatwNq0atUWgLbtOjF71jTcXN1xc/dg29ZY5PJ0GjVsCignOTt86ADV/WtQsqQZt2/fYvmyxfj6VsJRw1UtPT092rXrwMaN6ylf3pYyZcqyZs1KrK2t1e67DA4eQmBgHdq0aQdA+/admDHjR9zc3PHw8GTLlhjkcjmNGzdTfXZNV0tsbL6gTJmy+d7v3rUL4ydOymqjXrnaqLJeQr+fkNVGlfXStfM3WW10I7WDAnO1UWW9vHr1imUrVtCgfn2sra25f/8+8xctws7WlloBNTXWSXZ5dOrYmbXrfsLW1payZcuxYmU41tbW1KldR5Vu0OAB1K3zJe3bK39Y69z5G6b+MAUPDw88Pb2IjolCLk+nWdPmqnUkkiQkEonq+cw3b92keLFifPFFaSwtzLXGVJAu33Rh8pTJeHp44uXlRWS0styaN2v+/pXfo3uXroyfNAkvTw+8vXL1Gy2y6mTCRGxsSjFiSFadfJPVb2zcSO3AQPbG7VfWyfc5JzO9undj1NhQqlWpTPVqfhz//XeOHvuNtStXfHBc3Tp2YsK0aXi5u+Pt6cGm2FjS5em0aqrcB8b/8AM21qUYNqA/oJxQ6tadu6q/nz1/zrXrNyhWzAS78uU/vDx0pI3qShyiD9O9Oun+TWfGT5mKl4cH3l6ebIqOJj1dTqtmys8UOmmycp/Nmtema6eO9OrXn3UREdSuVYu9+w9w5epVJo8LBZST7VWrUoV5i5dgZGRE2dJlOHP+HLt+2UtI1qS2GuPIdczh4+3NxjzHHOOyjjmG5znmWL9hA0FBQezLKo9JWcccr9LTWbV6NXXr1KGUtTWy5GSiY2N59uwZXzdooDUOPT09GjRuye4d0XxRuizWNqXZvnkjFhaWVKmWU46zfxxHFb+afNVQ2W/K5ek8e/JI9f/nz5/w191bFDctgZW1DaYlSmJaQv24zMDAADMzC8qU/fA+RRD+l/x/nTFdF/0nTtABoqKiNL5vbW3Nn3/+qfF/xYoVIzU1Ve294sWLs3r16nxpJ0+eXOD2p02bxrRc9x/ntnbt2nzvhYaGMm3aNGQyGdWrV8fT01PDmh+uccOGyGQywpYvJ0kiwd3NjfClS1XDxx4/eaL2C3nlSpWYNX06S5YuZVFYGBXs7Fg8fz4uzpqHLf5benTvgVwuZ/r06bxMfUmlipVYvGix2giBj9Xwa2VZLA9fjkQiwc3VjaVLwlQHYk/ylEWlihWZPm0aS5ctI2xpGHa2dsyfOx/nXGVx9NhRJk2ZrHo9Nuvgpl+fvvTv119rLB07dUEul7Ng/mxSU1Px9vFh5ox5FC2a8/kePXpISkqy6vWXX9YnJSWZdetWI5NJcXJyZsbMeVhkDcssUqQI586dYevWWORyOTY2NgQF1aVL1x5a4+jcuStyuZy5c2eRmpqKj48vs2fPVyvnhw/V46hX7yuSk5NZu3YVUqlyKOns2fPzTbr0oTS30bAC2mhFZk2fxpKlyzS2UX19fa7fuMGu3Xt48fIlNqVKEVCzBoMHDqRo0aIFxtKtW3fS5enMmDmd1NRUKvpWZNFC9Xb38MFDtRmVGzT4WvlIx1UrkEgkuLq4snDBYrUD/G3btrF6zSrV6/79+wIw4fuJtGzxaRMNfd3ga2QyGeErw5XbdXVlyaIlf3uIO0Djhl9n1Ul4Vp24Eh62JE+d5Nx/WbliRWZNm8aSZctZFLY0q07mqfUbX9Wrx8Rx41i9di0z5szFvkIFFsyZTZXKmiec0qTRV/WRJSezbPVqkqRS3FycWTZvnuo+1CdPn6Kvl9NWniUl0bFXL9Xr9VFRrI+KolrlSqwJC8uXv/by0I02qitxgOjDsulKnTRu0ACZLJmwlSuVcbi6Er5oYU4cT5+qx+Hry6wffmBJeDiLli2ngq0ti+fMxiXXk1nm/vgjC5ctZezESaS8eEHZ0qUZ2r8/Hdu20RpHo4YNkcpkLC3gmEMv9/dspUrMnD6dsFzHHItylYeBvj537t5l1+7dyJKTMTczw8vLi/U//fTep8g0ad6ON6/lrFu9hFev0nB18yR47A8Y5irHZ08fk/ryher13ds3mPVDqOp19EblcV+t2vXpPUD9lkJBEP5/kkqlDBkyhN27d6Ovr0/btm1ZtGgRpqam711XoVDQpEkT9u3bx/bt22nVqtVHbVtPIe7410kdO3ZUTVgXEhJCr1wHlx8i49WrfymyjyPP0I1nzRvo68bdHJKUwq+XIga6URbWZsaFHQIAaa91pY3qxkRDxkUKP4536emFHQIABrnmKxHgibTw+y8QfZiaXMO7C5PCsOAfcj6XM9cevT/RZxBQ5fNezBCEz2FU2NHCDkGjuYPrvD/RJ2jcuDGPHz9mxYoVZGRk0KtXL/z8/IiMjHzvugsWLODAgQPs3bv3k07Q/zNX0D+XQYMGceLECbX3Zs2aRcOGDbWsoVlMTMw/GZYgCIIgCIIgCMIn+S8Ncb969Sr79u3j9OnTVKtWDYAlS5bQpEkT5s6dq3oamCYXLlxg3rx5qsnBP4U4Qf+HLV26tLBDEARBEARBEARBED7BH3/8gbm5uerkHJQTe+vr63Py5Elat26tcb1Xr17xzTffsHTpUkqX/rDJbzURJ+iCIAiCIAiCIAjC/5zXr1+rHl+dzcjI6G/NV/XkyRNsbGzU3itSpAiWlpY8efJE63ojRowgICCAllkTYn4q3biRSxAEQRAEQRAEQdBJmQqFTi4zZszAzMxMbZkxY4bGzzB27Fj09PQKXK5du/ZJ5bNr1y4OHz7MwoUL/0YpK4kr6IIgCIIgCIIgCML/nNDQUIKD1Z+uoO3q+ciRI+nZs2eB+Tk6OlK6dGmePXum9v7bt2+RSqVah64fPnyYW7du5XsMddu2bQkKCuLIkSMFbjc3cYIuCIIgCIIgCIIg/M/5mOHspUqVolSpUu9NV7NmTZKTkzl79ixVq1YFlCfgmZmZ+Pv7a1xn7Nix9O7dW+09Hx8fFixYQPPmzT8ovmziBF0QBEEQBEEQBEHQ6r/0YG4PDw8aNWpEnz59CA8PJyMjg8GDB9OpUyfVDO4PHz6kfv36bNiwgerVq1O6dGmNV9ft7OxwcHD4qO2Le9AFQRAEQRAEQRAEIUtERATu7u7Ur1+fJk2aEBgYyMqVK1X/z8jIIDExkVevXv3j2xZX0AVBEARBEARBEAQhi6WlJZGRkVr/b29vj+I9wwre939txAm6IAiCIAiCIAiCoFVmZmFH8N8hhrgLgiAIgiAIgiAIgg4QJ+iCIAiCIAiCIAiCoAPEEPf/p15Lnhd2CAC8MTEr7BAAMDDQjaknSxT/sMdA/JsePX9R2CEAYGVmUtghAFC0iEFhhwDAOx0ZO6bQK/zfbWUZhR8DwOuk1MIOAYBy1qaFHQIApS10Y5/VhTYKgKLw99lrj3WjP38q/ecnSfoUgRVtCzsEADLSdKPvMCyuG32H8P9Dpm4cSv8n6Mi3nCAIgiAIgiAIgiD8t4kTdEEQBEEQBEEQBEHQAWKIuyAIgiAIgiAIgqDVpz4yTPh44gq6IAiCIAiCIAiCIOgAcYIuCIIgCIIgCIIgCDpADHEXBEEQBEEQBEEQtBKzuH8+4gq6IAiCIAiCIAiCIOgAcYIuCIIgCIIgCIIgCDpADHEXBEEQBEEQBEEQtBJD3D8fcQVdEARBEARBEARBEHSAOEEXBEEQBEEQBEEQBB0ghrj/h8Tu3MWG2M1IpFJcnBwZPXgQ3u7uGtPeunuX8HUbuHrjBo+fPmXkgP5807aNWprNu3azZfceHj99CoBjhQr06daFWtWrFxiHQqFg9eqV7Nq9k5cvU/H19SVk1Ghsbe0KXG/r1s1EREYglUpwdnYheMRIPD29AHjxIoXVq1dx6tRJnjx9ioWFOUFBdejbpx+mpqYaY1i5agU7d+4gNTUVXx9fRo8ei51dwTFs3hJLxKZNSKQSXJxdGDkyBC8vL9X/t+/Yxv64OK4lJvLqVRoHDxymRIkSBZaFrsQRFbGOg/t/IS0tFXcPb/oNHEbZsuULjOOXn3ewY1ssyTIp9g5O9O43BFfXnDb1+PEj1v8UztWEy2RkZFC5ih99+g3G3MJSY35RMTGsW7+eJIkEN1dXQseMwcfbW+v24w4cIGzZMh49eoSdnR0jhg6ldlCQ6v/LwsPZGxfH0ydPKGJoiKeHB0MHD8bXx0drnjGxMazfuAGJRIKriytjQkbjXUAMBw4eYNny5Tx6/Ag7WzuGDhlKUGCg6v+HDh9iy9atXL12lZSUFKIjonBzc9Oa36dSKBSsWLmC7Tu2k5qaSkXfiowd8/629D66UCfZn2/t2tXs2bOL1NSXeHv7EhwcQvnytgWut337VqKjI5BKpTg7OzN0aDAeHp4a8x8zZiSnTv3JDz/MICiojtY4Nqz/iX17d5Oamoqnlw9DhwZT7j1x7Nq5jS2bo5FKpTg6OTFw0DDc3dXjSEi4zLq1q7h27SoG+vo4OjkzfcY8IH8fFhUTw9r1G1T1Mm7M6A+ol+U8fPSICqp6yWmn4ydOYufu3Wrr1AqoyYqlS7XmGRUTy9oN2TG4MG70B8SwfDkPHz2mgp2tMoZc+wrArdt3WLB4MWfOneXd23c4OjqycM5sypQpU0AcutFGdaU88lIoFMRErufggb28SkvFzd2LvgOGUqaA/j3hSjw7t2/m9s3ryGRSRodOpnqNWh+8zezt/rwjkhNHD5D+Kg1HF3c6dRuATemyWte5kXiFg3u3c//eTVKSZfQdEkrFKjXU0gzq1VLjuq069CCw4jC196JjYlifVSeurq6MfU+d7D9wgKXLl6vaxvChOf15RkYGYcuWcfzECR48eEAJU1P8/f0ZNnQoNqVKFVgWuto2BOFjKMQQ989GXEHXIUeOHOHUqVOq1z179mTPnj3/SN77fz3C/PAV9O3WlYjwZbg6OjJ47DikMpnG9HL5a8qVKc2Q3t9iZan5ZOqLUtYM6f0dm5YtZeOyMPwqVyJ44mRu3b1bYCybIjayeUssISFjWL1qDcbGxowIHsbr16+1rnPw4AEWL1nEt99+x9qf1uPs7MyI4GFIZVIAniclkZT0nMGDh7JpYyTjx0/k5Mk/mD7jR435bdy4gdjYGMaMCWXN6rUYm5gwbPiQAmM4cGA/ixYt5LvevVm/fiPOLi4MGz4EqVSaq9zk1KhZk549exZYBroWx/at0fy8Zzv9Bg5n1twwjIyNmTpxLG/evNG6zvHffmXt6nA6du7OvIXh2Ds4MXXiGJKTZVkxpDNl4mjQ02PqtLnMmL2It28zmPbD92RmZubLb19cHHPmzaN/v37ERkbi6upKv4EDkeT6XLlduHCBMaGhtGnVis1RUdSrW5dhwcHcuHlTlaZChQqMGzOGrZs3s2HtWsqVLUu/gQPVyiq3uP1xzFswn359+hK5KRJXVxcGDhmkNf2FixcJHT+OVi1bEhURSd26dQkeFczNXDGkp6dTqVIlhg4ZqrUs/wnrN6wnOiaa0LGhrPtpHcYmxgwZWnBbeh9dqJNsUVGb2Lp1M8HBISxfvhoTE2NCQkYU+PkOHz7IsmWL6dnzW1atWouTkzMhISOQyfJva8uWGPT09N5bJrExkezcsZUhw0ayaMkKjI2NGRc6ijdvtMdx5MghVq5YSpeuPVm6fDWOjs6MDx1Fcq7+NyHhMuNDQ6ha1Y/FS1awOGwlLVq20RjT3rg4Zs+bz4B+fdkcGYmbqwv9Bg7SWi/nL1xkdOg4WrdqyeaoSOrVrcvQPPUCEBgQwJED+1XL7BkztH6mvXH7mT1/PgP69mVzZARuLq70GzRYewwXLzJ63Hhat2zF5sjsGEaqxfDX/ft0/+47HOztWbtyJVtjounfpzdFjYy0xqErbVRXykOTHdti+OXnHfQdMIzpc5ZgZGzMD5NDC+zf5XI59vaO9O435KO2lduBX7Zx5MDPdOo+gJAJcyha1Jiw+ZPJyNC+3Tev5ZS3tadD135a00xfuE5t6frtEPT09KhcNUAt3b64OObOn0+/vn2JjozEzcWFAYO07ycXLl5k7LhxtG7ZkpjISL6sW5fhudqGXC7n2rVr9O3dm5jISObPncvde/cYNnx4geWgy21DEATdJE7QdUjeE/R/0qatW2ndpDEtGjXEsUIFxg0fhrGRETv3xWlM7+XuxvB+fWn45ZcUNTTUmKZ2zZoE+lfHrnw5KpQvz6Bve1HMxIRLV69qjUOhUBAbG03PHr2oHVQHZ2cXJk6YTFJSEsd+O6p1veiYKFo0b0mzps1xcHBkdMhYjIyM2bNHecXHydGJ6dNnERgYRPny5alWtRr9+g7gxInjvH37Nl8M0TFR9Or1LXVq18HFxYXJk6aQlJTE0WPaY4iKiqRly1Y0b9YCRwdHxo4JxdjYmN17dqnSdO70DT2698Tbq+ArLboWx55d22jfoSv+NWph7+DEsBFjkEqTOPnnca3r7dqxhQYNm1D/q0bY2tnTf+BwjIyMOHRgHwDXEq7w/NlThg4fTQV7RyrYOzJ0xBhu3bzOpfjz+fLbsGkTbdu0oXXLljg5OTFx/HhMjI3ZvmOHxu1vioqiVkAAvXr0wNHRkSGDBuHp4UFUdLQqTdPGjalZowa25cvj7OREyMiRpKamcv3GDc15RkTQplVrWrZoiZOjI+NDx2NsbMyOXTs1po+KjiSgZk16dO+Bo4MjgwYMxMPdnejYGFWaZk2b0a9PX2pU99daln+XQqEgKjqK7779jrp16uLi4sLUyVN5nvScI0ePfHK+ulAn2Z9vy5ZYunXrSWBgbZycnAkNnUhSUhLHjx/Tut7mzdE0bdqCxo2bYW/vQHDwaIyNjfjlF/UfPm/cuE5MTBSjR48rsDwUCgU7tm+mc5duBAQE4ejoxOgx45FIJPx+Qvu+sm1rLI0aN6NhoyZUqGDP0GEjMTIyJi7uZ1WaFcvDaNW6LR07dcXe3gFbWzvq1KlH0aJF8+W3YVME7dq0zqoXRyaOV7bT7Ts0t9NNUZHUCqjJtz164OToyJBBA/H0cCcyOkYtXdGiRbG2tlYtZiVLav1MGyI20a51a1q3bIGToyMTx49TxrBTSwyRUdSqWZNve3THydGBIQMH4unuTmRMrCrN4qXLCKpVi5HDh+Hh7o6drS1f1qmj9UdiZVnoRhvVlfLIS6FQ8PPu7bRt34Xq/gHY2zsyZPgYZFIJp/48oXW9KlWr07lrL/xrBmpN877t/npgN42at6diFX/K2drTo89wUmRSLp77U+t6Xr5Vad62K5Wq1tSaxszMQm2JP38KF3cfrG1Kq6XbGBFBm9atadVS2Z9/n7Wf7NBSJxGRyv68Z1bbGDwwqz+PUe4nJUqUYMXy5TT8+mvs7e3x9fUldMwYEq5e5fHjx1rj1dW2IQiC7hIn6J/o7t27VKxYkS5duuDi4sKAAQPYsWMH/v7+eHt7c+PGDW7fvk3dunXx9fWlRYsWql/f69aty5gxY6hWrRre3t5cuXKF+/fvEx4ezsyZM6lUqRIXLlwA4MCBA9SoUQMXFxeOHtV+0laQjIwMrl2/QfUqlVXv6evrU71KZS4laD+Z/hjv3r0j7tdfSZfL8fXMP3w026NHj5BIJFSrljMM3tTUFE9PLy5fvqQ1/sTEa1Tzy1lHX18fv2p+WtcBSE1NpXjx4hQpon4nx6NHD5FIJFT3U4/By8uLS5fitcZwLfGa2jr6+vr4+VXn0iXtMRREV+J4+vQxMpmUipWqqN4rXtwUF1cPEq8laI3j1s3rVKyYs46+vj6+laqQmKhcJ+Ot8iqJYa4feIoWLYqenh5XEy7nyy/h6lVq+Pur5VfD35+L8ZrL4mJ8vFp6gICaNbWmz8jIYMu2bZQwNcXN1VXj/69eu4p/nhj8q/sTryXP+PhL+Oc58a5ZsybxWurv3/Iwuy1VV29L3l7en9wudKFOsj1+/AipVELVqtVU7yn7DU8S8rSl3HknJiaqraOvr0/Vqn5q68jlcn78cTLDh4/EyspKawwAT548RiqVUqVyTp7Fi5vi7u6Rr03njuPG9etUqaIeR+UqVUlIuAJAskzGtWsJmJtbMHzYADq2b8mo4CFcvpy/3D6tXi5R8wPq5fSZM9SuV59mrVozddp0kpOTtX6mhKvXqOGv3g/V8K/OxXjN7e3ipfgCY8jMzOTY8ePYV7Cj78BB1K7/FZ27d+fQr79qzC8njsJvo7pSHpo8e/qEZJkU34o53//FixfHxdWd64ma+/d/guT5U16kyHDzqqh6z6RYceydXLlzM/Ef286LlGQux58hIOgrtfczMjK4qqVtaO3PL13S2Da0pQflcYaenp7WW8h0uW0IwsfKVCh0cvn/SJyg/w1Xr15l4sSJXLt2jSNHjnDixAlOnjzJkCFDCAsLY+jQoQwcOJD4+Hhq1arF5MmTVesaGhpy5swZgoODmT9/Pra2tvTv35+xY8dy4cIFKlWqBIBUKuXPP/9kxYoVTJ06VWMcr1+/5sWLF2pL7mGfySkveJeZiZWFhdp6VhYWJGkY6vkxbty+Q2CzFtRs3JTpCxczd/IkHCtU0JpeKpUAYJnnV15LS0ukEs2xJCcn8+7dO83raBkilpyczNp1P9GiRat8/5NIsmNQPxi3tLRCmvW/D47BwlLrOu+jK3FkD7M1M1dvH+bmFmpDcHN7+SKFzMxMzCw0raOsE1c3T4yNTdiwbhWv5XLk8nTW/bSCzMxMZFL1WGUyGe/evcv367+VlZWqnPJKSkrSmD4pT/qjx45RPSCAqv7+bNy0iZXh4VjkiRtApqVsrSwttccgScpXf1aW2mP+t2RvzypfW9Ie+/voQp1ky97P89aNhYX2PiAlJZnMzPz1mXedpUsX4eXlQ2Bgba3bz4lD+TnM87Z7C0vV7TZ5vUhJITPzXb51LCwsVUPtHz9+BMDGDWtp3Lg502bMwdnFlbGjR/DwwX219WSyZC31YpmvnLMp60W9bVjnqZdaAQFM/+EHVq8IZ8SwoZw5e5b+g4fw7t27fPll7yt587SytCJJkqQlBglWVuoxW+eKWSqV8urVK9asXUdgQAArly2l/pdfMnxUCKfPntWYp660UV0pD42xZbUx8zz9u1kB/fs/4UWKMu+SJc3V3i9R0lz1v3/CyROHMTY2oVI19SvuOXWSvz8vcD/J8yOdpraR7fXr1yxctIjGjRppnOtGPQ7daxuCIOgucYL+N7i5ueHm5oaBgQEeHh589ZXyF1wfHx/u3r3L6dOnad++PQDdunXjt99+U63bunVrAKpWrcrdAu7ZbtWq1XvTzZgxAzMzM7Vl3tJlf/8DfgB72/JErVjO+rDFtGvejEmz53D73j3V/+Pi9lH/q7qqJe9w839DWloqo0KCcXBwoPd3fYiL20fdL2urls8Rgyb79u3ViTiOHjlI5/ZNVcu/FYeZmTkhYyZy+tQfdO7QjC4dW5CWmoqjkwt6+p+v6/Hz82NLdDQb162jVkAAo0aP1nrv3/+Kvfv2ElQnSLUUVlv6VO+rkwMH4mjUqL5q+bc+34kTv3Hu3FkGDx6m8f+HD+2nZfOGquXd2/wnq/+ETIVyToYmTVvQsFETnJ1d6T9gCOXL2xIX98u/ss28mjRqyJd16+Dq4kL9L79k6eJFXL5yhdNnznyW7WdfBfmybh26d+2Cu5sbvXv1ok5QELFbtn6WGHIr7H7jU8vj2JFDdO3YXLW8e/d5+oZTfxxhRP+OqkXTDzv/hj9+O4hfjToYGua/FeTflJGRQciYMSiA8aGhn3XburavCILwzxOzuP8NRrkm49DX11e91tfX5927dwVOOJSd1sDAoMAvsg9JFxoaSnBwsNp7Gc+eqP42NyuJgb4+kjy/lktkMqy1zKb9oQwNDbEtVw4AD1dXEhKvE7VtO+NHDAcgMDBIbXbxN28yAOUvwNbW1qr3pVIpLi4uGrdhbm6OgYFBvitlUqk039WxtLQ0RgQPp1ixYsyYPosiRYoQGBiET67Zd7MnqJFKJXlikODionkIo9YYZFIs3zMsNltQUG28vHJmbS2sOKpXD8DV1SNXHMo6SUmWqV0NTk6W4eDopDGPEiXN0NfXJyVPm0pOlqnN0F6pSjXCV23iRUoKBgYGFDc1pVe3dnxRWn2WWQsLCwwMDPIdAEskEq3Djq2trTWmt86TvpiJCXZ2dtjZ2VHR15emLVqwfft2en/3nXoMWspWIpVqj8HKWnVVNSe99pj/KbWDauOdqy1lT/YkydeWpLgWMHS8IIVZJ7VqBeLhkdNv5OwrUqyscj6fTCbF2Vlzv2FmZo6+fv76lMly+o1z587y6NFDmjVrqJZm0qTx+PhUZPLUGbjlmmk9e19JlsnU4kiWSXFyctYYR0kzM/T1DfJdrZTJpFhk7SvZV9cqVLBXS2NrV4Fnz56qvWdhYa6lXqT5yjmbsl7U22mShnpR23b58liYm/PX/fv5hv1m7yt585RIJVjnKhf1GKyQ5BkllZQrZgtzc4oUMcDJ0VEtjaODA+eybvnKSxf6jezYdaE8APyq18TFLedJGm+z22yyDItc/XtKsgx7B839+6fwrVQde8ecp1O8favc7osXyZiZ53wnvHyRTHlbh39kmzevX+Hpk4d8OyAk3/9y6iR/f17gfpLnarmmtpGRkUHI2LE8fvyYVStWaL16rh5H4bcNQfi7Mv9/jibXSeIK+r+oWrVqbN2q/DUzIiKC2rULHkJZokQJXr58+dHbMTIyomTJkmpL7h8PDA0NcXd14fS5C6r3MjMzOX3+Aj6eHhpy/HSZikzeZB0QgPJet/LlbVWLg4MDVlZWnDl7WpUmLS2VhIQreHtrntDM0NAQNzd3zp7JWSczM5MzZ0+rrZOWlsrwEUMxNDRk9qy5qjIoXrw4tra2qsXBwRErKytOn87JLzUtlStXruDj46s1Bnc3d7V1MjMzOX36tNrJf0F0JQ6TYsUoU7acarG1q4CFhSXxF8+p0rx6lcaN61fVTk7yxuHk7Ep8rsneMjMzuXTxPG5u+dcpaWZGcVNT4i+eJyUlmerV1WfbNcx6lNHJkyfV8vvz1Ckq+moui4q+vpzMM6niH3/+qTW9Kl+FQq2N5o7Bw91DLc/MzExOnT6Fr5Y8fX19OHVaPYY/T57EV0v9/VPytiVHRw1tKTWVy1cuf3C7yKsw66RYseKUL19etdjbO2BpacW5czlXc9PS0khISMDTU/OjipT9hhvnzuUM+czMzOTs2TOqdb75phtr1mxg9ep1qgVg0KChjB07nmLFilGuXHnVUqGCPZaWlpw/n5NnWloa165dxaOAOFxcXdXWyczM5ML5c6rHRH5RugxWVtY8ePCX2roPHzzAJs/EVzn1ot5OTxZYLz78ma9eThZYL0+ePiU5JYVS1vkfH6WMwZ2Tp9T7oZOnTlPRV3N7q+jjmz+GkzkxGBoa4uXpxZ2799TS3P3rHmXLqJeBehyF22/kxFH45QFZ/XuZcqqlvG0FzC0s1SbmVPbv13DV0Fd/KmOTYth8UUa1lClrS0kzCxITcu7fTk9/xd1b13Fw/mceM/n7sYPY2TtR3i7/Cb+hoSEeHvn785OnCujPfXzytY0/T55US599cv7XX3+xIjwcc3PzAmPUpbYhCML/DnGC/i9avHgxS5YswdfXl2PHjjFp0qQC0zdv3pyoqCi1SeL+KV3btmX7L7+we/9+7tz7ixmLFpMul9OikfLK0cSZs1myeo0qfUZGBok3b5F48xYZbzN4lpRE4s1b3H/4UJVmyeo1nIuP59GTJ9y4fYclq9dw9mI8jevX0xqHnp4eHTp0Yv36tfz22zFu3brJ1B+mYG1tTe1czx0eMnQQW7ZsVr3u1LEzu3bv5Jdffubu3TvMmTsLuVxOs6bNgKyT8+FDkcvlhI4dT1paGhKJBIlEkm/kgZ6eHp06dmbtup84duwoN2/eZMqUyVhbW1Ondk4MgwYPYPPmnFlTO3f+hp27dvDzz3u4c+cOs2bPRC5Pp1nT5qo0EkkS168n8iDrvtGbt25y/XoiKSkpGstCV+Jo1qINm2MiOHXyd+7dvc2i+TOxtLTGv0bODL4Tx4/ilz07VK9btGrHgbifOXwojvv377Fi2ULkcjn1v8q5Gnno4D4SryXw+PEjjvx6gDmzptC8ZVuNz4zu3rUrW7dvZ+euXdy+fZsfpk8nPT2dVi2Vz7wd9/33LFy8WJW+a+fOnPj9d9Zv2MDtO3dYFh7OlYQEOnfqBMCr9HQWLVnCxfh4Hj16xJWEBCZMnsyzZ8/4ukGDfNsH6NqlC9t3bGfXnt3cvnOb6TOUMbRs3gKA7ydOYHHYkpy66PQNv//+Bxs2beTO3TuErwgnISGBTh06qtKkpKSQmJjIrdu3Abh77y6JiYkkJWm+//BT6Onp0blTZ9b8tIajWW1p0uRJlLIuRd06dT85X12ok+zP165dBzZuXM+JE79x+/Ytpk+firW1tdq948HBQ9i2bYvqdfv2ndizZxf79v3CvXt3WbBgDnK5nMaNlf2GlZUVjo5OaguAjc0XlCmT/1nNenp6tGrdnqjIDfzx+3Hu3LnFnNnTsLKyIqBWzr4yJmQ4O3fkDDVt07YDe3/Zw4H9e/nr3l2WLJ6HXJ7O1w2b5Hy+Dp3YsX0rvx07wsOHD1i/bjX379+jUeOmGuqlC1u2b2fnrt3cUqsXZTsN/X4CCxbntNOunb/hxO9/sG7DRm7fucPSrHr5ppOynb569Yq5CxZwMT6eh48e8efJkwwdMQI7W1tqBWieTbt7l67KGHbv5tbtO/wwfYYyhhZZMUyYyIIluWL4pjMn/viddRuzY1ihjKFjB1WaXt27sW//frZs28Zff90nMjqGo8d+o1PWrWIa49CRNqor5ZGXnp4eTZu3ZmtsJKdP/s69u3dYsnA2FpZWas81nzwhhL0/71C9Tk9P587tm9y5rXy019OnT7hz+ybPnz/74O1+2aA5+3bHEn/+JA/v32XDqoWYWViqPdd80ewJHDmY8zQDuTyd+3/d5v5fyv5S8vwp9/+6jVTyXC3/9PRXnD99goDa2uukW5cubNu+nV27d3P79m1+zG4bWXUyfsIEFuWqky7ffMPvf/zB+o0buXPnDsuz2kanjsr9JCMjg1GjR5OQkMCMadPIfPeOpKQkkpKSVKNrNNHVtiEIgu4SQ9w/kb29PWdy3Zu3ZUvOQWGNGjVUzy/XNPP6kSNHVH97e3urXru6uqrNFrpu3TrV36ampgXeq/4+X39ZF1lKCuHrNiCRyXB1cmTJjGmqieOePHuGnn7OkPznEgnf9B+ger1x8xY2bt5CVV9fVs6fCygnP5k4aw5JUimmxYvh4uBI2Mzp1KhatcBYunbphjw9nVmzZ5Camoqvb0Xmz1ukdtX/4cOHJKckq15/9VUDkpOTWbV6pWoI+Px5C1VDshMTE7mSNSNyh45t1ba3dct2ypcvr/Zet27dSZenM2PmdFJTU6noW5FFCxerx/Dgodosxg0afE1ycjIrV61AIpHg6uLKwgWL1YZSbtu2jdVrVqle9+/fF4AJ30+kWbOcE+jCjKOKf87Jf7bWbTshl8tZHjaftLRUPDx9mDBlhtojnp48ecSLFzkn+IFBX/IiJYXoiHXIZMrh8BOnzFQb4v7wwX02rV9NaupLStl8QbsOXWjRsl2+7QM0atgQqUzG0uXLSZJIcHdzI3zpUtWwvsdPnqjdu16pUiVmTp9O2NKlLAoLo4KdHYvmz8fFWTnU2EBfnzt377Jr925kycmYm5nh5eXF+p9+wtlJ89DOhl83RCaTsTx8ORKJBDdXN5YuCVOV7ZMnT9DPHUPFikyfNo2ly5YRtjQMO1s75s+dj7NzznDno8eOMmnKZNXrseOU9yv269OX/v36a4zjU/To3gO5XM706dN5mfqSShUrsXiRelv6WLpQJ9k6d+6KXC5n7txZpKam4uPjy+zZ8/P1Gym5+o169b5SThi5dhVSqXI4/OzZ8/PdGvMxOnT8BrlczqKFc0lNTcXL24dpM+ZStGhOHI8fq+8rdevWJyU5mQ3rf0Imk+Lo5My06XNVQ9wB2rTpQMabN4SHL+Hly5c4OjoxY9Z8ypYtly+Gxg2V7TRMrV7C1OoldzutXKkis6ZPY8nSZap6WZyrXvT19bl+4wa7du/hxcuX2JQqRUDNGgweOFDjY96UMXydFUN4VgyuhIctyRNDzndK5YoVmTVtGkuWLWdR2NKsGOapYgD4ql49Jo4bx+q1a5kxZy72FSqwYM5sqlSunG/72XSljepKeWjSqk1HXsvlrFi2kLS0VNw9vPl+knr//vTJY168eKF6fevmdSZ/P0r1ev1P4QDUrdeAwcNGf9B2GzRpw5s3ciLXLSP9VRpOrh4MCp6kdr940rMnpKXmbPevuzdZNOt71eut0T8B4F+rHt1758wVcfbkbyhQUM1f+8jERln7ybKstuHm5saysIL78xnTphG2bBlLwsKws7NjYa628ez5c45kHdN1yPpBJ9vqlSvxq1YNTXS5bQjCxxBD3D8fPYXi/+n89P9xqffvvT/RZ/DaxKywQwDAwEAMFsn26PmL9yf6DJzL68bzWt++040u8F1mZmGHAICRoUFhh4AkJb2wQwDgdYZuTL5Xzlr7Pa6flY4cLij0dKM/11MU/j577b5uTHj5VPqqsEMAILBi/tFZhcEA3dhXDIvrSN8h/L/QY8bhwg5Bo/Wh2kfu/q/SjW85QRAEQRAEQRAEQfiPE0PcBUEQBEEQBEEQBK3EEPfPR1xBFwRBEARBEARBEAQdIE7QBUEQBEEQBEEQBEEHiCHugiAIgiAIgiAIglY6Mk/of4K4gi4IgiAIgiAIgiAIOkCcoAuCIAiCIAiCIAiCDhBD3AVBEARBEARBEAStxCzun4+4gi4IgiAIgiAIgiAIOkCcoAuCIAiCIAiCIAiCDhBD3AVBEARBEARBEAStMsU07p+NuIIuCIIgCIIgCIIgCDpAXEH/f+qVUYnCDgEAi2KGhR0CALLU14UdAgDFXr8s7BCwNteNtvHy1ZvCDgEAEyPdaKOpOlIe74wLvzzevsss7BAAKFHMqLBD0ClJL3SjHy1qaFDYIeiMcpkvCjsEAOy9KhR2CADsOXGzsEMAwNPeqrBDAKDFwlOFHQI3l9Ur7BAE4X+OOEEXBEEQBEEQBEEQtBKzuH8+Yoi7IAiCIAiCIAiCIOgAcYIuCIIgCIIgCIIgCDpADHEXBEEQBEEQBEEQtBJD3D8fcQVdEARBEARBEARBEHSAOEEXBEEQBEEQBEEQBB0ghrgLgiAIgiAIgiAIWokh7p+PuIIuCIIgCIIgCIIgCDpAnKALgiAIgiAIgiAIgg4QQ9wFQRAEQRAEQRAErRRiiPtnI66gC4IgCIIgCIIgCIIOEFfQ/0MUCgVr1qxi9+5dpKa+xMfHl5EjR2Nra1vgetu2bSEqKgKpVIqTkzPDhwfj6eml+v+cOTM5c+YMSUnPMTEpho+PD/37D6RCBft8eUXFxLB2/QaSJBLcXF0ZN2Y0Pt7eWrcdd+AAYcuW8/DRIyrY2TFi6FBqBwWq/j9+4iR27t6ttk6tgJqsWLr0f6I8YnfuYkPsZiRSKS5OjowePAhvd3eN27119y7h6zZw9cYNHj99ysgB/fmmbRu1NJt37WbL7j08fvoUAMcKFejTrQu1qlfX+bLIjmP16pXs2r2Tly9T8fX1JWTUaGxt7QqMY+vWzURERiCVSnB2diF4xEhVHC9epLB69SpOnTrJk6dPsbAwJyioDn379MPU1DRfXjGxMazfuAGJRIKriytjQkbjXUAbPXDwAMuWL+fR40fY2doxdMhQggJz2uihw4fYsnUrV69dJSUlheiIKNzc3Ar8PLnLY+3a1ezZo6wXb29fgoNDKF++4HrZvn0r0dHKenF2dmbo0GA8PDw15j9mzEhOnfqTH36YQVBQHY1pVq5awc6dO0hNTcXXx5fRo8diZ1dwnWzeEkvEpk1IpBJcnF0YOTIEL6+ctrF9xzb2x8VxLTGRV6/SOHjgMCVKlCiwLNavW8Mvv+wmNfUlXt4+DBs26r1lsXPHVmJjo7LaqBODh4zA3T2nLIKDBxN/8YLaOs2atWT4iBCtcRR2GwXd6Ut1oY1mpyvsetGFGAC2/LKXiB07kSYn42xvT3Dv7/ByddGY9vZff7EqKpprt27z5Plzhn3bi07Nm6mlad23P0+eP8+3bptGjQjp16fAz/ahFAoFK1auYPuO7aSmplLRtyJjx7y/n/nQvA/9Esvp3w8hT0+jgoM7LTr2xtqmjNZ1ju7fzpWLp3j+9CGGhkWxc3ClYcuulPqiLACv0lI59EssN69dJFmWRHHTknj6+vFV004YmxTTGkdUxDoO7v+FtLRU3D286TdwGGXLli8w/l9+3sGObbEky6TYOzjRu98QXF1zjhMeP37E+p/CuZpwmYyMDCpX8aNPv8GYW1hqzG9YMwc61ipLSZMinL2dwsSoRO49T9e6/aFNHRja1EHtvVtP0mg49aTqtZ21CWPbOFPNyYyiRfQ5liBhSux1JC8zCvxsgiBoJq6gF6KePXuyZ8+ez7a9yMhNbN26mVGjRrNixRpMTEwYOXI4r1+/1rrOoUMHCQtbTM+e37F69TqcnV0YOXIEMplUlcbNzZ3Q0PFs2hTNvHkLUSgUBAcP5927d2p57Y2LY/a8+Qzo15fNkZG4ubrQb+AgJFJp3s0CcP7CRUaHjqN1q5ZsjoqkXt26DA0O5sbNm2rpAgMCOHJgv2qZPWPG/0R57P/1CPPDV9C3W1ciwpfh6ujI4LHjkMpkGrctl7+mXJnSDOn9LVaWmr94vyhlzZDe37Fp2VI2LgvDr3IlgidO5tbduzpdFtk2RWxk85ZYQkLGsHrVGoyNjRkRPKzAOA4ePMDiJYv49tvvWPvTepydnRkRPAxpVhzPk5JISnrO4MFD2bQxkvHjJ3Ly5B9Mn/Fjvrzi9scxb8F8+vXpS+SmSFxdXRg4ZBBSLW30wsWLhI4fR6uWLYmKiKRu3boEjwrmZq42mp6eTqVKlRg6ZKjWz6BNVJSyXoKDQ1i+fDUmJsaEhIwosDwOHz7IsmWL6dnzW1atWouTkzMhIer1km3Llhj09PQKjGHjxg3ExsYwZkwoa1avxdjEhGHDhxQYw4ED+1m0aCHf9e7N+vUbcXZxYdjwIWrlKJfLqVGzJj179nx/QQAx0RFs376FYcNHERa2EmNjE8aODebNG+1x/PrrIcLDw+jWvRfh4WtwdHJm7JhgZHn2sSZNmxO7eadq6dN3oNY8C7uNgm71pbrQRkE36kUXYjh4/ASL167ju44dWDdvDi72FRgx9QekySka08tfv6HsF18wsFtXrCzMNab5ac4s9vy0WrUsmjwRgPq1amr9XB9r/Yb1RMdEEzo2lHU/rcPYxJghQwvuZz7Ubwd38sfRvbTs2IcBI6djaGTEumXTyMh4o3WdOzcTqBHUkP4jp9Fr0Pe8e/eOdUt/5M1rOQAvU6S8TJHSqFU3hobOo22XQVxPuMi2yOVa89y+NZqf92yn38DhzJobhpGxMVMnjuXNG+1xHP/tV9auDqdj5+7MWxiOvYMTUyeOITlZ2YfJ5elMmTga9PSYOm0uM2Yv4u3bDKb98D2ZmZn58uvbwI4edcszMSqRtnPOkP76HWuHVKJokYJPB64/SqXG2OOqpdO8c6r/mRTVZ92QSihQ0HXReTrMO4thEX1WDqjIB+y6wv+QTIVuLv8fiRP0/wiFQkFsbAzdu/ckKKg2zs7OjB8/EYkkid9+O6Z1vZiYKJo3b0HTps1wcHBg1KjRGBsb8fPPOT8stGjRikqVKlOmTBnc3Nzo3bsfz5495cmTx2p5bdgUQbs2rWndsiVOTo5MHD8eY2Njtu/YqXHbm6IiqRVQk2979MDJ0ZEhgwbi6eFOZHSMWrqiRYtibW2tWsxKlvyfKI9NW7fSukljWjRqiGOFCowbPgxjIyN27ovTuG0vdzeG9+tLwy+/pKihocY0tWvWJNC/Onbly1GhfHkGfduLYiYmXLp6VafLIieOaHr26EXtoDo4O7swccJkkpKSOPbbUa1xRMdE0aJ5S5o1bY6DgyOjQ8ZiZGTMnj3Kq4FOjk5Mnz6LwMAgypcvT7Wq1ejXdwAnThzn7du3anltioigTavWtGzREidHR8aHKtvojl2a22hUdCQBNWvSo3sPHB0cGTRgIB7u7kTH5rTRZk2b0a9PX2pU99f6GTRRKBRs2RJLt249CQysjZOTM6GhE0lKSuL4ce31snlzNE2btqBx42bY2zsQHKysl19+Uf8x8MaN68TERDF69LgCY4iOiaJXr2+pU7sOLi4uTJ40haSkJI4e014nUVGRtGzZiubNWuDo4MjYMaEYGxuze88uVZrOnb6hR/eeeHv5fFBZbNu2mS5du1OrVhCOTs6MGfM9kiQJJ47/pnW9rVuiadKkOY0aNaWCvQPDh4dgZGTMvn3qZWFsZIylpZVqKV68uNY4CruNgu70pbrQRrPjKOx60YUYAKJ27aZFg69oVr8eDra2jO7fDyMjI/YcOqRx+54uzgzp2YMGQYEYFtH8vWJhZoaVhYVqOXHmLOVKl6ZyrhExf4dCoSAqOorvvv2OunXq4uLiwtTJU3me9JwjR4/87bxPHPmFug3b4OnrR+lyFWjfbTAvU2RcjT+tdb2eA8dTpUZdvihjS5ny9rTrOohkWRIP798G4IuydnzTexQePtWwKlUaJzdvGjTvxLXLZzX+AK1QKNizaxvtO3TFv0Yt7B2cGDZiDFJpEif/PK41jl07ttCgYRPqf9UIWzt7+g8cjpGREYcO7APgWsIVnj97ytDho6lg70gFe0eGjhjDrZvXuRR/Pv/nqmfL0n13ORifROLDNEatT+ALs6I0qGhdYDm+facg6cUb1SJLy7kyXtXJnHJWxozZcJXrj9K4/iiNkPUJ+NiVoKarRYH5CoKgmThB/8wmT56Mm5sb9erV42nWMOS+fftStWpVvLy8mDt3LgBr1qwhNDRUtd6ECRMICwv75O0+fvwIqVRCtWp+qvdMTU3x8PDkypXLGtfJyMjg+vVEqlbNWUdfX59q1fy0rpOens4vv+yhTJmy2Nh8oZZXwtWr1PDPOUnR19enhr8/F+PjNeZ1Mf4SNf3VT2oCatbMl/70mTPUrlefZq1aM3XadJKTkzUXQi66UB7Xrt+gepXKanlVr1KZSwnaT6Y/xrt374j79VfS5XJ8PfMPHc1W2GWR7dGjR0gkEqpVyxmOb2pqiqenF5cvX9IaR2LiNar55ayjr6+PXzU/resApKamUrx4cYoUybnLJyMjg6vXruKfp436V/cnXksbjY+/hH+eE++aNWsSf0lz+o+RXS9Vq1ZTvacsD08SErTXS2Jioto6+vr6VK3qp7aOXC7nxx8nM3z4SKysrLTG8OjRQyQSCdX91OvEy8uLS1o+Y0ZGBtcSr6mto6+vj59fdS5d0l4nBckuiypV8rfRgsri+vXrVKmiXhZVqlQjIeGKWtpDhw7QpnVTen/XjdWrw5HL5RrzLOw2mp2frvSlutBGQTfqRRdiyMjIIPHWLfwq+qrn5+vL5cTrWvP7GBkZGcQdPUaz+vU+aGTDh3iY3c9UVy87by/vT+4zsskkz0h9kYyTW06ZGJsUo7y9M3/d+fAykctfAVCsmObbCgDk6a8wMjbBwMAg3/+ePn2MTCalYqUqqveKFzfFxdWDxGsJGvPLyMjg1s3rVKyYs46+vj6+laqQmKhcJ+Ot8uq7Ya4f7YsWLYqenh5X8+yDtlbG2JgZ8fu1nBFEqfJ3XLz7gsqOZlo/F4C9TTFOTK/F4ak1mdfTkzIWRjnbK6KHQqHgzducK/Zv3maSqVBQzdm8wHwFQdBM3IP+GZ0+fZqff/6Z+Ph4pFIpHh4eDBo0iJkzZ2Jpacnbt28JCgqiY8eOdOjQAT8/P6ZNm4aenh6xsbH8/vvvGvN9/fp1vmFgr1+/xsgopwOVSCQAWOS5J8nS0hKpVKIx35SUZN69e4dlnuHUFhaW3Lt3T+297du3snz5UtLT07Gzs2PBgkVqXxgymTKvvEOzrawsuaNl+HVSUhJWluoHZtZWViRJcuKtFRDAV/XqUa5cWe4/eMCiJWH0HzyEiPXrNH5JZiu08sgaHpec8oJ3mZlYWaj/umxlYcHd+/e1xv0hbty+Q6+hw3jz5g0mJibMnTwJxwoVtKYv7LaRLXtbefO0tLREKtE8dDc5WXMclpaW3PvrntZ11q77iRYtWqm9L9OSl5WlJXe1tVFJEpZ52qiVpZWqTP+O7OHgmspY25D7lJRkMjM118tfucpj6dJFeHn5EBhYu8AYsj9H3s9oaWmFVMtn1FonFpbce8+tFtpkD322yLO/mFtYqIYC55WSkkJm5rt87drCwpL793PKol69BnzxRWmsrKy5c/sWq1Yt58H9v5g8ZXq+PAu7jYJu9aW60EaVcRR+vehCDMkvX/IuMxNLM3P1/MzNuPfwocb8PtbRU6dITUujab0v/5H8IKefydtGLS0t/3Zf+vJFMgCmJdRPQE1LmJGa9b/3yczM5Oet66jg6MYXZTXfE5+W+oIj+7biF/CVxv8nZ91WY2aepw8zt1D9L3/sKWRmZmKWt98zt+DhA+VxgqubJ8bGJmxYt4qu3b5DgYKN61eTmZmJLM/3t7VZUQCSXqgPqU968YZSJYtqjAHgwp0UxmxI4PazV9iUNGJIUweig6vS5MeTpL1+x4U7L0h/k0lIK2fm7byFnh6EtHKiiIF+gfkK/3v+vw4n10XiBP0zOnHiBK1bt8bIyIgyZcpQr149AKKioli9ejXv3r3jwYMHXLt2jQYNGuDv78/hw4cxNDTEy8tL61WEGTNmMGXKFLX3OnXqzNWrOb/Kzpo199/7YECDBg2pVq06EkkS0dGRTJz4PcuWrQBTo/ev/Dc0adRQ9beriwuuLi40bt6C02fOqF1h2r8/jrlzZ6leF1Z5aJ465p9lb1ueqBXLSU1L4+Cx35g0ew6r5s9VnaTrSln8duwos+fMVKWbO2f+vxoHQFpaKqNCgnFwcKD3d//M5Eb/lAMH4pg3b7bq9cyZ/069nDjxG+fOnWXVqnUaY5g/PyeG+fMW/CsxvM+hg/tZsGCO6vW06bMLSP33NGvWUvW3o6MTllZWhIwaxqNHD7l149p/po1+SF+qC20UIC5uX6HXiy7EUBj2HDxEjSqVKaVlHpQPsXffXqbPyPkBbOGChf9AZEoXTv/GzuiVqtfd+4cWkPrD7N68hqeP79N3+FSN/5env2JD+ExKlS5P/SbtATh65CDhS3P6z/ET8//g908wMzMnZMxEwpcv5Ofd29HT0yOodj0cnVzw86vKzPY5P3D1Wf5pI7uOJeT8wJT4MI0Ld19w7McAmlS1YfPvj5GmZjBk9WWmdnKjR93yZCoU7DnzjMt/vSBTPJdLED6JOEH/zPIOCbt9+zbh4eH88ccfmJmZ0a5dO9XV8F69erFmzRqKFi1Kjx49tOYZGhpKcHCw2nuPHz8nLS1V9TojQ3m/kEwmxdo6514jqVSKi4urxnzNzMwxMDDIdyVEJpPm+7HA1NQUU1NTbG1t8fLypkmTr/ntt6O0b9UcAAsLZV55JzGSSKRYa/nhwdraGkmeX4CTJBKt6QFsy5fHwtycv+7fVztBDwwMxDPXMO/CKo8WQcpJdczNSmKgr48kzy/nEpkMay0zr34oQ0NDbMuVA8DD1ZWExOtEbdvO+BHDAd0pi8DAILVZvd+8yVBtN38cmmcgNjfXHIdUKs13VSotLY0RwcMpVqwYM6bPyjc81EJLXhJp/s+UzdrKOt8oA4lU8t4huZrUqhWIh0dOeWRPYCSVSrGyyikPmUyKs7Pm8jAzM0dfX3O9ZJfHuXNnefToIc2aNVRLM2nSeDw9vdm4IUJDDJI8dSLR2ja01olMiuUHlkvNgEDcPXK30TdZn0OmVhbJMhlOTs4a8zAzM0Nf3yDfxGMymRQLS+1xZM/w/vDhA51ro1C4fakutFEfn4rMnTOv0OtFF9uGeYkSGOjrI01JVs8vOQUrc3ONMXyMx8+ecTr+EjNGa37CwYeqHVQbb6+cJw5kT5ImydfPSHF11dzPaOPhUw1b+5zyfvtWWS+pL1MoaZZzJTr1ZQplytm/N79dsWtIvHyO3sOmYGaRf395LU9n/fLpGBmZ0KXPKAwMlPVSvXoArq4eqnTZ37MpyTK1EUnJyTIcHJ00brtESTP09fVJyXOckJwsU5uhvVKVaoSv2sSLlBQMDAwobmpKr27tePpcQosZOffZZ08EZ12yKM9zXUW3LlmUhAc5x4vv8zL9LXeevaJCKRPVe8evSqk36Q8sihvyNlPBy/S3/DGjFveTNN8uJAhCwcQ96J9RYGAgO3bs4M2bNzx58oRff/0VhUKBqakpJUuW5MGDBxw8eFCVvk6dOly4cIGjR4/SpEkTrfkaGRlRsmRJtcXCwoLy5W1Vi729A5aWVpw9e0a1XlpaGlevJuDlpfnRPIaGhri6uqmtk5mZydmzZ7SuA8rJUBQKheqAJTsvTw8PTp48pZbXyVOnqOjrqykbKvr68OepU2rv/fHnSa3pAZ48fUpySgqlrEupvV+sWHGdKw93VxdOn7ugltfp8xfw8fTQkMuny1Rk8iYjZ9u6UhbFi6vH4eDggJWVFWfO5hxQpKWlkpBwBW9vzROJGRoa4ubmztkzOetkZmZy5uxptXXS0lIZPmIohoaGzJ41V+32j9x5ebh7cPKUehs9dfoUvlranK+vD6dOq7fRP0+exNdHexvVRlkv5VVLdr2cO6deLwkJCXh6aq8XNzc3zp07q/YZzp49o1rnm2+6sWbNBlavXqdaAAYNGsr48ROxtbVVLQ4OjlhZWXH6dE75pqalcuXKFXy0fEZDQ0Pc3dzV1snMzOT06dP4+Lx/QjhlWRSjXLnyqqVCBWVZnD+Xv40WVBaurq6cO69eFufPn1V7FGBet27dAJTDbXWtjWbnV1h9qS600bFjx+tEvehCDBrzc3LiTHzOfduZmZmcuRSPt9vHnehq8vPhX7EwK0lAtap/K5/ixYur9TOOjhr6mdRULl+5/MF9RjYjYxOsSpVWLTaly2Na0pzbiTllIk9/xYO7N7Fz0F4mCoWCXbFrSIg/xbdDJmJpbZMvjTz9FWuX/oiBQRG69huNoWHOcG6TYsUoU7acarG1q4CFhSXxF3NmP3/1Ko0b16/i5q55jhhDQ0OcnF2JzzXZW2ZmJpcunsfNLf86Jc3MKG5qSvzF86SkJFOpkh/3nqerlhuP03iW8poAt5wfKkyNDahoX5LztzXP8q9JMSMD7KxNeJaSf/Z5WVoGL9PfUsPVAqsSRTkUn/TB+Qq6r7Bna/8vzeIurqB/RtWqVaNx48b4+PhQrlw5atSogZOTEx4eHri7u2Nvb09grucn6+np0axZM9LS0jTes/sx9PT06NChI+vXr6N8eVvKlCnD6tWrsLKyJigoZwjUsGGDqV27Dm3bKodpdezYmenTf8Dd3R0PDy82b44mPV1OkybK56Q+evSQQ4cOUr26P+bm5jx79oyIiI0YGRlRs6b6I1i6d+3C+ImT8PL0xNvbi02RkaSnp9OqZQsAQr+fgI2NDSOGDgGga+dv6NWnD+s2bKR2UCB74+K4kpDA5AnfA/Dq1SuWrVhBg/r1sba25v79+8xftAg7W1tqBRT8+BddKI+ubdsyafYcPNxc8HZzJ3LbNtLlclpkDTWdOHM2paytGNL7O0D5C/zte38p/36bwbOkJBJv3qKYibHqivmS1WuoVd2P0jY2pL1KZ9/hw5y9GE/YTO3D63ShLHLi6MT69WuxLW9L2bJlWblqBdbW1tTO9ezjIUMHUad2Xdq1U8bRqWNnfpw2FXd3Dzw9PYmJjUYul9OsqTKOtLRUhg8fivz1ayZNnEJaWhppaWmA8goW5OxbXbt0YeLkSXh6euLt5UVkVhtt2VzZRr+fqGyjQwcr22jnTt/Qp28fNmzaSFBgIHFxcSQkJDBh3PeqPFNSUnjy5AnPsp4jfPfeXQCsrKzUrhZpKo927TqwceP6rHopy5o1K7G2tla7Lzc4eAiBgXVo06YdAO3bd2LGjB9xc3PHw8OTLVtikMvlNG7cTLVdTVf4bWy+oEyZsvli6NSxM2vX/YStrS1ly5ZjxcpwrK2tqVM7p04GDR5A3Tpf0r59B2W5dP6GqT9MwcPDA09PL6JjopDL02nWtLlqHYkkCYlEwoOseylv3rpJ8WLF+OKL0ugXMc4XR5s27YmIWE+58raULl2GdWtXY2VtRa3AIFW6kFHDqBVYm1at2gLQtl0nZs+ahpurO27uHmzbGotcnk6jhk0BZRs9fOgA1f1rULKkGbdv32L5ssX4+lbCUcOVeV1oo6A7fakutNHCrJfc9+YXVgx5D+I6t2jOD4uX4O7khJeLC9F79iCXv6ZZfeUtdVMWLaaUpSUDu3UFlN8rdx48AODt27c8l0i4fucOJsbG2JbJeU54ZmYmPx8+TJO6dSlSwPwun0JPT4/OnTqz5qc12NraUq5sOZaHL6eUdSnq1qn7t/OuVbcJv8Ztw8qmDBZWNhzcE00JMws8fHMmnVyzZCqevtWpWacRoLxyHn/2OF37jMbI2ER1L7uxcTEMixZFnv6Kdcum8ebNa9p3H8JreTqv5cpniRc3zf/0Az09PZq1aMPmmAjKlC3PF1+UJnLTWiwtrfGvkXPcN3H8KGrUDKRJs1YAtGjVjsULZuHk7IqLqzt7dm5FLpdT/6uc0SWHDu6jfHk7SpqZk3jtCmtWLaV5y7aUK28LqE+Et+7wfQY2tufus3TuS9IZ0dyRpylvOHAx50R6w9BKHLj4nI1HlfMWjG3jzOFLSTyUyLExL8qwpo5kZirYc+apap22Ncpw60ka0tQMKjuW5Pt2rqw9fJ87z159Qq0JgiBO0D+zyZMnM3nyZLX3mjVrpjX9n3/+yYIF/8x9oN9805X09HTmzJlJamoqPj6+zJ27QO3X+EePHpKSkvNLav36X5GcLGPNmtVIpRKcnV2YO3eBavhd0aJFiY+/yObNMbx8+RJLS0sqVqzE8uUr803O1LhhQ2QyGWHLl5MkkeDu5kb40jDVMMvHT56gr58zqKNypYrMmj6NJUuXsSgsjAp2diyePx8XZ+WBs76+Ptdv3GDX7j28ePkSm1KlCKhZg8EDB1K06PsnJimU8nj9UpXX11/WRZaSQvi6DUhkMlydHFkyY5pq4rgnz56hp59zS8RziYRv+g9Qvd64eQsbN2+hqq8vK+cr7wWVJSczcdYckqRSTIsXw8XBkbCZ06lRteArHoXdNrJ17dINeXo6s2bPIDU1FV/fisyft0gtjocPH5KcawjnV181IDk5mVWrV6qGXs+ft1A1jDAxMZErWbN2d+jYVm17W7dsx9Q+ZwK9hl8r2+jy8OVIJBLcXN1YuiRMdbLwJE8brVSxItOnTWPpsmWELQ3DztaO+XPn4+ycc3J39NhRJk2ZrHo9dpzynsh+ffrSv1//AmoFOnfuilwuZ+7cWap6mT17fr7ySMlVHvXqfaWcSGrtKqRS5VDj2bPn5xsy+6G6detOujydGTOnk5qaSkXfiixauFg9hgcP1Wb8btDga5KTk1m5agUSiQRXF1cWLlisdtK1bds2Vq9ZpXrdv39fACZ8P5E6X36dL46Onbogl8tZMH82qampePv4MHPGPIoWzdtGc+L48sv6pKQks27damQyKU5OzsyYOQ+LrLIoUqQI586dYevWWORyOTY2NgQF1aVLV+23FBVGG7UooT7Joy71pbrQRqFw6iXvjwWFEUPZPOfKXwXWQvYihdXR0Uhkybg4OLBg4vdYZg1xf/o8Cf1ct9olyWT0CB6leh25cxeRO3dR2cuLZT/m3HN9Oj6eJ8+TaFa/fv7C/wf06N4DuVzO9OnTeZn6kkoVK7F40WKtowU+RtBXLXnz5jU7olYgT39FBUd3eg4cp3bFW5r0lFdpL1SvTx3fD8DqxZPV8mrbZSBVatTl0YM73L+rHG0zf+pQtTSjJocB6qP4AFq37YRcLmd52HzS0lLx8PRhwpQZavvYkyePePEi53s2MOhLXqSkEB2xDplMORx+4pSZakPcHz64z6b1q0lNfUkpmy9o16ELLVq201gWKw/8hYmRAT9+40bJYkU4cyuFb8MuqM3AblfKBAvTnJhKmxuxoJcXFsUNkaa+4cytFNrNOYs0NWdknuMXxRjV0hGz4oY8lMhZvu8uPx3+exPeCsJ/mZ5CIWZw0EXPnj2jVq1a1K1bl1WrVr1/hXzra5419nOz+JcniftQstTX70/0GRTLdYJeWF4ZlSjsEAAw0NeNO2xMjP7e6JR/SkqqbtyrZ2Jc+OXxMk1H9lcdKAuAksV0I46kFN1oo0UN/9kruP/L9J49KOwQADAsp/1JIZ9T3MnbhR0CAJ72Hz8Pyb+hxcJ/5vF6f8fNZfUKOwThH9J43KHCDkGjvdP/nR8OC5O4gq6jbGxsuHHjRmGHIQiCIAiCIAiCIHwmunEJSxAEQRAEQRAEQRD+48QVdEEQBEEQBEEQBEGr/68zpusicQVdEARBEARBEARBEHSAOEEXBEEQBEEQBEEQBB0ghrgLgiAIgiAIgiAIWokh7p+PuIIuCIIgCIIgCIIgCDpAnKALgiAIgiAIgiAIgg4QQ9wFQRAEQRAEQRAErcQQ989HXEEXBEEQBEEQBEEQBB0gTtAFQRAEQRAEQRAEQQeIIe6CIAiCIAiCIAiCVu/EEPfPRpyg/z/1Tkf2IsXr14UdAgAmRoaFHQIARU1LFXYIFFHoRtt4LntV2CEAULKYbrQN02JFCzsEnfEm421hhwDAF5bFCzuELLqxz+qKNxnvCjsEAEyMC7/veGNdtrBDAEBfR25OreZeurBDAMDGwrSwQwDg8hz/wg6BZ8+khR0CADY2loUdgiB8MDHEXRAEQRAEQRAEQRB0gLiCLgiCIAiCIAiCIGilIwNl/hPEFXRBEARBEARBEARB0AHiBF0QBEEQBEEQBEEQdIAY4i4IgiAIgiAIgiBoJYa4fz7iCrogCIIgCIIgCIIg6ABxgi4IgiAIgiAIgiAIOkAMcRcEQRAEQRAEQRC0EkPcPx9xBV0QBEEQBEEQBEEQdIA4QRcEQRAEQRAEQRAEHSCGuAuCIAiCIAiCIAhavRND3D8bcYL+H6JQKFi7djV79uwiNfUl3t6+BAeHUL68bYHrbd++lejoCKRSKc7OzgwdGoyHh6fG/MeMGcmpU3/yww8zCAqqky9N1JYtrNsUQZJUipuzM6Ejg/Hx8tK67bhDhwhbuZJHj59gZ1ueEYMGUTsgQPX/JImUBUuX8sepU7x8+ZKqlSsRGjySCnYFf6aPoVAoWLFyBdt3bCc1NZWKvhUZO2YsdnZ2fzvvqJgY1q1fT5JEgpurK6FjxuDj7a01fdyBA4QtW8ajR4+ws7NjxNCh1A4KUv1/WXg4e+PiePrkCUUMDfH08GDo4MH4+vgUGEd0TAzrN2wgSSLB1dWVsaNHFxjH/gMHWLp8uSqO4UOHEhQYCEBGRgZhy5Zx/MQJHjx4QAlTU/z9/Rk2dCg2pUoVGIdCoWD9ujX88stuUlNf4uXtw7Bho97bRnfu2EpsbBRSqRQnJycGDxmBu3tOGw0OHkz8xQtq6zRr1pLhI0Ly5RUVE8Pa9RtUdTJuTMFloayT5Tx89IgKqjoJVP1//MRJ7Ny9W22dWgE1WbF0aYGf6WP9m+1UF2JQKBRs2riWfXv3kJaWiqenN4OGBFOuXPkC19u9aztbt0Qjk0lxcHRmwMChuLl5APD0yWN69eyscb3QcZP5pn3LfO/ryj6rK+1UF75XdCUOhULBylUr2LlzB6mpqfj6+DJ69Pvb/+YtsURs2oREKi9AWBgAAGDPSURBVMHF2YWRI0PwyvW9uH3HNvbHxXEtMZFXr9I4eOAwJUqU0JqfQqFgzZpV7N6tLAsfH19GjhyNrW3BZbFt2xaioiKy+lFnhg8PxtMzJ445c2Zy5swZkpKeY2JSDB8fH/r3H0iFCvZa49CV8tiw/if27d1Namoqnl4+DB0aTLn3tI1dO7exZXM0UqkURycnBg4apva9ApCQcJl1a1dx7dpVDPT1cXRyZvqMeYCpWrqY2BjWb9yARCLB1cWVMSGj8S5gfz1w8ADLli/n0eNH2NnaMXRIzncswKHDh9iydStXr10lJSWF6Igo3NzcCvw8oFvf9brQRgVBV/2/GeLes2dP9uzZ86/l//z5c/z9/alcuTKXLl3617aT7ciRI7Rr1+4fzTMqahNbt24mODiE5ctXY2JiTEjICF6/fq11ncOHD7Js2WJ69vyWVavW4uTkTEjICGQyab60W7bEoKenpzWvfQcOMmfRYvr3/o7Y9etwdXGh3/ARSKT58wK4EB/PmImTaNO8OZvXr6de7doMGz2GG7duAcoOftiYMTx49IjFs2cRu2E9ZUqXps/QobxKT//I0tFu/Yb1RMdEEzo2lHU/rcPYxJghQ4cUWG4fYl9cHHPmzaN/v37ERkbi6upKv4EDtZfHhQuMCQ2lTatWbI6Kol7dugwLDubGzZuqNBUqVGDcmDFs3byZDWvXUq5sWfoNHIhUS57ZccydP59+ffsSHRmJm4sLAwYN0h7HxYuMHTeO1i1bEhMZyZd16zI8VxxyuZxr167Rt3dvYiIjmT93Lnfv3WPY8OHvLZOY6Ai2b9/CsOGjCAtbibGxCWPHBvPmjfay/vXXQ4SHh9Gtey/Cw9fg6OTM2DHByGQytXRNmjYndvNO1dKn78B8ee2Ni2P2vPkM6NeXzZGRuLm60G+g9rI4f+Eio0PH0bpVSzZHRVKvbl2G5qkTgMCAAI4c2K9aZs+Y8d6y+Fj/VjvVlRi2bI5i186tDB4azIKFyzE2NmHC+JAC28bRo4dZtWoZ33TtyZKwVTg6OjFhfAjJycq2YV3Khk2RW9WWrt16YWJiQjW/6vny05V9VpfaaWF/r+hSHBs3biA2NoYxY0JZs3otxiYmDBtecPs/cGA/ixYt5LvevVm/fiPOLi4MGz5Erf7lcjk1atakZ8+e7y0HgMhIZVmMGjWaFSvWYGJiwsiRwwuM49Chg4SFLaZnz+9YvXodzs4ujBypXhZubu6Eho5n06Zo5s1biEKhIDh4OO/evdPp8oiNiWTnjq0MGTaSRUtWYGxszLjQUQX2HUeOHGLliqV06dqTpctX4+jozPjQUSTn+l5JSLjM+NAQqlb1Y/GSFSwOW0mLlm3ytZO4/XHMWzCffn36ErkpEldXFwYOGaR1H79w8SKh48fRqmVLoiIiqVu3LsGjgrmZa39NT0+nUqVKDB0y9IPKAHTru15X2qgg6Kr/Nyfo/7ZDhw7h5+fH+fPn8XnPlQ1dpFAo2LIllm7dehIYWBsnJ2dCQyeSlJTE8ePHtK63eXM0TZu2oHHjZtjbOxAcPBpjYyN++UX9x5AbN64TExPF6NHjtOa1ISqKti1b0LpZM5wcHJg4ZjQmxkZs1/LDyqaYWGrV8KdX1644OtgzpF8/PN3ciNqyBYB79+8Tf/kyE0aH4O3piUOFCkwYPZrXr1+zd/+BTyil/BQKBVHRUXz37XfUrVMXFxcXpk6eyvOk5xw5euRv5b1h0ybatmlD65YtcXJyYuL48ZgYG7N9xw6N6TdFRVErIIBePXrg6OjIkEGD8PTwICo6WpWmaePG1KxRA9vy5XF2ciJk5EhSU1O5fuOG1jg2RkTQpnVrWrVsiZOjI9+PH4+xsTE7du7UmD4iMpKAmjXpmRXH4IED8XB3JzomBoASJUqwYvlyGn79Nfb29vj6+hI6ZgwJV6/y+PFjrXEoFAq2bdtMl67dqVUrCEcnZ8aM+R5JkoQTx3/Tut7WLdE0adKcRo2aUsHegeHDQzAyMmbfPvV2ZWxkjKWllWopXrx4vrw2bIqgXZvWWXXiyMSssti+Q3NZbIqKpFZATb7t0QMnR0eGDBqIp4c7kdExaumKFi2KtbW1ajErWVLr5/kU/2Y71YUYFAoFO7ZvoVPnbtSsGYiDoxMjQ0KRSJL44/fjWtfbvm0zjRo15euvG2NXwZ7BQ4IxMjJmf9wvABgYGKi1CUtLK37//TeCgr7ExKRYvvx0ZZ/VlXaqC98ruhKHQqEgOiaKXr2+pU7tOri4uDB50hSSkpI4euyo1vWioiJp2bIVzZu1wNHBkbFjQjE2Nmb3nl2qNJ07fUOP7j3x9nr/sYdCoSA2Nobu3XsSFFQbZ2dnxo+fiESSxG+/aS+LmJgomjdvQdOmzXBwcGDUKGVZ/PxzTlm0aNGKSpUqU6ZMGdzc3Ojdux/Pnj3lyZP8/boulceO7Zvp3KUbAQFBODo6MXrMeCQSCb+f0N53bNsaS6PGzWjYqAkVKtgzdNhIjIyMiYv7WZVmxfIwWrVuS8dOXbG3d8DW1o46depRtGhRtbw2RUTQplVrWrZQfseOD836jt2leX+NilZ+x/bo3gNHB0cGDcj6jo3N2V+bNW1Gvz59qVHd/71lkE2Xvut1oY0KHy9ToZvL/0f/0yfokydPxs3NjXr16vH06VMA+vbtS9WqVfHy8mLu3LkArFmzhtDQUNV6EyZMICwsTGOe6enpdOvWDV9fX6pXr86FCxe4dOkSo0ePJjY2lmrVqmlcr2/fvhw4oDwpDAgI4IcffgAgODiYbdu2ATBr1iz8/Pzw9fVVxVbQ+9l+/fVXatasyfPnzz+2iFQeP36EVCqhatWc+E1NTfH09CQh4bLGdTIyMkhMTFRbR19fn6pV/dTWkcvl/PjjZIYPH4mVlZXWvBISE6nh56eWVw0/Py5e0rz9i5cvq6UHCKjhr0r/5s0bAIxyfRnq6+tjaGjIuYsXNeb5sR4+eohEIqF69Zyraaampnh7ef+tkRQZGRkkXL1KDf+cL1d9fX1q+PtzMT5e4zoX4+PV0gME1KypNX1GRgZbtm2jhKkpbq6uWtNc1RJHvJZ84y9d0hiHtvQAqamp6OnpFTgMMbuNVqmSU+empqZ4eBTcRq9fv06VKupttEqVaiQkXFFLe+jQAdq0bkrv77qxenU4crk8X14fXyeXqPkBdXL6zBlq16tPs1atmTptOsnJyVrL4VP8W+1UV2J48uQxMpmUSpWrqt4rXtwUN3dPrl5N0LhORkYGN28kqq2jr69PpcpVuaZlnRs3Erl96yZfN2qiMT9d2Wd1pZ0W9veKLsXxKLv9+6m3fy8vLy5d0l7f1xKvqa2jr6+Pn1/1T95nssuiWrX8/eiVKwX1o4lUrar+/Vytmp/WddLT0/nllz2UKVMWG5sv8v1fV8rjyZPHSKVSqlTOqefixU1xd/fgagFt44aG75XKVaqqvleSZTKuXUvA3NyC4cMG0LF9S0YFD+Hy5fh8eV29dhX/PPurf/UCvmPjL+Gf58S7Zs2axGsptw+hi9/1hd1GBUGX/c/eg3769Gl+/vln4uPjkUqleHh4MGjQIGbOnImlpSVv374lKCiIjh070qFDB/z8/Jg2bRp6enrExsby+++/a8x36dKllChRgvj4eP7880969OjBxYsXmTp1KpcvX9Z4Ag0QGBjI8ePHCQoK4t27d/z5558AnDhxgrFjx7J//34ePHjAqVOnyMzMpEGDBjRq1IhHjx5pfD/boUOH+P7779m9ezfW1tYat/369et8w4Jev36NkZGR6nX2UCpLS0u1dBYWllqHWaWkJJOZ+U7jOn/9dS9XmS3Cy8uHwMDaGvMBkCUn8+7dO6zy5GVlYcmdu/c0rpMkkWhMnySRAOBgb0+Z0qVZuHw5E8eMoZiJCRuionn67Jkqzd8lycrHylL9wMzS0lL1v08hk8k0l4eVFXfu3tW4TlJSksb0eT/r0WPHCBk7FrlcTilra1aGh2NhYaE5Dm31YmlZcBx5DlQ1xZHt9evXLFy0iMaNGmFqaqoxDaAappY3VnMLC6QahpwCpKSkkJn5DguL/G30/v2cdlWvXgO++KI0VlbW3Ll9i1WrlvPg/l9MnjI91/a1lIXVe8oiT9uwzlMWtQIC+KpePcqVK8v9Bw9YtCSM/oOHELF+HQYGBlpK4+P8W+1UV2JQtQ1z9boxN7fQOBwZ4MWLFDIzMzWuc//+XxrX2R/3C7Z2FfD0zH9Pps7sszrUTgv7e0WX4shu45b52r8VUi3tPzmr/80bg6WFJfe01OX7ZMeRt0+0tLREKtUcR0qK5jgsLCy5d0/9+3n79q0sX76U9PR07OzsWLBgEYaGhlrjKOzyyP7M5vm+Vyy1fq+8yPpeybuO8ntF2Xc8fvwIgI0b1tKn70CcnJ05eCCOsaNHsGLlOmwslPNcyLR8JitLS+5q218lSfnKzcrS6u8dc+jQd72utFFB0GX/syfoJ06coHXr1hgZGVGmTBnq1asHQFRUFKtXr+bdu3c8ePCAa9eu0aBBA/z9/Tl8+DCGhoZ4eXlp/SX8+PHjjB49GoAaNWqQnp5OSkrKe+MJDAxk/fr1nDp1inr16vHHH3/w8uVLXr58iY2NDfv37+fnn3/mt9+UQ3VfvnzJ9evX+f333zW+b2lpycWLFxk5ciSHDh0q8Jf7GTNmMGXKFLX3OnToxLVrV1WvZ87U/MPC33XixG+cO3eWVavW/Sv5F8SwSBEWzJzBpGnTCfy6IQYGBtTwq0ZgzZooFJ825mXvvr1Mn5Fz0rZwwcJ/KNrPx8/Pjy3R0ciSk9m6bRujRo8mYuPGfF/Mn0NGRgYhY8agAMbnGsUCcOjgfhYsmKN6PW367H8tjmbNcib7cnR0wtLKipBRw3j06CGlLV3+te0CNGnUUPW3q4sLri4uNG7egtNnzuS7OvGhdKGd/psx/Hr4AEsWz1O9njJ15j+WtzavX7/myK8H6fxN9399W3npwj77Ie30wIE45s3L2U8L63tFF+I4cCCO+fNzYpg/b8G/EsP77N8fx9y5s1SvZ836d8oiW4MGDalWrToSSRLR0ZFMnPg9y5at4PChA8yclTNnQWGVx+FD+1m0MKfv+OHHWQWk/nSZikwAmjRtQcOsETfOzq5cOH+WuLhfqOzj8a9sV1cV9F2vK21U+PvELO6fz//sCTqQbyKO27dvEx4ezh9//IGZmRnt2rVTXVnu1asXa9asoWjRovTo0eMfj8XR0ZH79+9z9OhRAgMDSU1NZdWqVarhnpmZmUyaNCnfto8fP67x/SNHjlCuXDlSUlK4cuUKtWtr//U+NDSU4OBgtfcePHhGWlqa6nVGhnI4uFQqxcoq50q8TCbF2VnzCYqZmTn6+gb5rkDIZFLVr5jnzp3l0aOHNGvWUC3NpEnj8fGpyKYVywCwMDfHwMAg32QkEplU648P1lZWGtNb50rv5e7Olo0beJmaSkZGBpYWFnzz7Xd4erhrzPN9agfVxtsr5+pZ9jB6iVSiNoJBKpXiqmUI6oewsLDQXB4SifbysLbWmN46T/piJibY2dlhZ2fH/7V332FRXHsfwL8LKgRFRZq9KwLSQWlW1AjRBAsgiYpK1MTe9VoxJhZu1GhEjRqxEwFbYokF0dhAVMCIYgVFUFFhQTqy8/5BdsIImNx7X86cwO/zPDxxh3K+mT2zM2fmFCtLS3z08cc4dOgQPvf3L5+jsvclI6Pc35XkeOcOekU5iouLMXvePDx79gxbf/ih3B11J2dXdCozW7K6jmZmZkrqqDIzE+3ata8wS4MGDaChoVnuKWpmZgb0GlV+U0s9E29q6lPYdi6t/3p6leyL13+xL9654/+qgn1RVovmzaHXsCGepKT81w10VvVUrgxdHV1g0unPC9ziomIAQKYyA43K7FulMhNt21ZcN+rXbwANDQ1kKqXvp1KZiUZ65Ru+Fy+cR2FhIdzcPiz3PYCjY1bGeuri4gpT0z9nTJbrvLJiRaDsOczMOmP3rr0VZHi3/r9Ghw4V1/+Gf3z+vpshI1Naz9/H1dUVZmZlP0eLxf+Pd4/DynI0aFBxjswKzs/16tVDvXr10KJFC5ibd4aHRz9cuHAePbr3gHmZzwO59oejkytMOpXfH8py55WMSs8r9f84ryjfmWg0MzNDfOqr7pHy7uzgLVq2Qnr6C/G1XiX/T68z3nftY1DuSfLrjMo/Z/4OOc/1vNTRTz8dVuHfJoRH/9gx6K6urjh8+DCKiorw/PlzREZGQhAE1KtXD/Xr18fTp09x5swZ8ed79OiBuLg4nD9/Hh4e5ccXlv27+/btAwBcvXoVOjo6aNCgwd/KZG1tja1bt8LZ2Rmurq5Yu3YtXP9YjqJfv37Ytm0b8vLyAADJycnIysqqdDtQ+uH4888/Y+LEiYiNja20XC0tLdSvX1/ypaenh+bNm4tfrVu3QaNG+rhx45r4e7m5ubh9+3aF3TkBoHbt2jAxMcGNG9fFbSqVCtevXxN/59NPR+DHH3dh27Yd4hcATJw4BfPmLZD8LTMTE0THXJP8raiYa7CyqLh8q86dJT8PAFeuXq3w53Xr1UMjPT08fpKChMRE9H7PDY33qVu3Llq0aCF+tW3bFvr6+oiJiRF/JicnB7cSbv1PkwXW/mM5pejoaHGbSqVC1NWrsLK0rPB3rCwtEX31qmTblaioSn9e/LuCgKI/TogV5TA1NZX8XZVKheirV2FZyd+1tLAolyMqOlry8+oT9pMnT/DD5s1o2LBhub+jo6ODZs2ai1+tWpXW0dh36uidO++vox07dsSNWGkdjY29Lll65V0PH5ZOwFW22++f70n5fVH5e2KBqHLvSfR735PnL15AmZUFQ4P3L0PzPqzqqVwZdHR00LRpc/GrZavW0NNrhPi4G+LP5OXm4m7i7QqXxAJK38/2HUwkv6NSqRAXd11yY0jt1Mlj6OrojAYV1FX13+PlmJWrnuro1OXivMJDjgULFkvqf5s2FdT/3BwkJCTAwqLi/Vy7dm10Mukk+R2VSoWYmJi/fcyU7osW4pd6X1y/Xv5ztGwD+t0cHTuaSH5HvS8q+x2gdLIvQRBQVFRc7vNAvv3x7nmlNRo1aoTYMueI3NxcJCbegel76kaHjh0lv6NSqRAXe0M8rxg3bgJ9fQM8fSodLpP69CmMjBpL/pZpp/Ln2Ksx7znHWlrgakwF59hK9tvfIe+5no86Ssg/yT/2Cbq9vT3c3d1hYWGBZs2awdHREe3atYOpqSk6deqE1q1bi41joPRp+4ABA5Cbm/vesSgTJ07E2LFjYWlpCW1tbQQHB//tTK6urkhISICenh66deuGp0+fwsXFBQDQv39/3L59G46OjlCpVGjYsCEOHDhQ6Xa1Fi1aIDw8HEOGDMHBgwf/66dhCoUCQ4d6Y/funWjevAWaNGmKH3/cAgMDA8nYuhkzJsPVtQcGDy5d4s3LaxhWrPgaJiadYGpqhvDw/SgoKIC7+wAApeORKrqra2RkjCZNmkq2jfT1xYJly2Bu2gkWZubYvf8n5BcUwPOj0r81f+lSGBkaYtqE0uWvhvt4Y/SXE7Bz7z50c3HGr6fPIOFOIpbMmyf+zZMREWjUUA+NGxvj/sOHWLVmLXp37w7n//LJZEX7zXeYL37c/iNatGiBZk2bYdPmTTA0METPHj3/p789cvhwLFi8GOZmZrDo3Bm79+1Dfn4+PD8p7Y49f+FCGBkZYdqU0mVUhvv6YvTYsdi5axe6deuGX0+eRMLt21iyaBEAIC8/H1u3bUPPHj1gaGCATKUSP4WGIj09Hf369q00x4jPPsOiJUtgbmaGzubm2KPO8fHHAIAFixbByMgIUydPBgB89umn8B87Fjt370Z3V1cxx6KFCwGUnrBnzZmDO4mJ+H7dOqhKSvDq1SsApU+8Kzv+FAoFBg/2wt69O9GseQs0btwEO4K3Qd9AHy6uf64bPXvWVLi4doen5xAAwJChwxC46huYdOwEk06mOHggFAUF+ej/4UcASicrOhtxGl26OqJ+/QZ49OghNm1cD0tLa7R95wnKyOGfYcHiP/ZF5zL74pPSffGvhaX7YvqUyX+8J59i9Nix2LFrN7p3c8WJP/ZFwKLSfZGXl4eNP/yAvm5uMDAwQEpKCtasW4eWLVrAxdnpryvJ31SV9ZSHDAqFAp6DhuKnkN1o2rQ5jBs3we5dP0Jf3wBOzn9+zv9r3gw4O7ti4MeDAQCDBnthzbcr0KGDCTqamOLIoXAUFhSgbz93yd9PS3uKW7duYumy93el5+WY5aWe8nBe4SWHQqHAMB9fBO/YjhYtWqBp02b4YctmGBgYoEf3P9dMnzjpS/Ts0QteXt4AAF/fT/HVsqUwNTWFmZk5ftofgoKCfAz4aKD4O69fv8Lr16/x9GkKAODBwweoq6MDY+PG+ECnbrkc3t4+2Llzxx/7ogm2bdsKfX0DdOv2576YOnUSunfvgSFDvAAAPj6+WL58GTp16gRTU3OEhf2E/PwCeHiU7ou0tFRERJxBly5d0bBhQ6Snp2Pv3t3Q0tKCk1P5OiLX/oBGnXI5PAd5IWTfLjRr1hyNmzTBzh0/Ql9fH84uf352zJ09Dc4u3fDJH+eVwUO88W3gCnTsaAITE1McOhSGgoJ89PvQQ/y7Q72HYffOYLRt2x5t27XHmdO/IiXlMRYu/kqSYfhnn2FxwBKY/XGO3ffH8frJwNLjdeHi0uN1yqTS49V32KcYO24sdu3ZjW6urjh58iRu376NRfMXin8zKysLz58/R/ofkwcnP04GUFpnK5uviKdzPQ91lPznquuM6Tz6xzbQgdJZ3AMCAiTbBgwYUOnPR0VFYe3a94+L+uCDD7Bnz55y2//OeptTpkzBlD8uzJo2bVpuHPSMGTPKdUWvbLuxsTF69uwJADAxMcGtWxXPUvmf8PUdjoKCAnz77Srk5OTAwsISgYFrJJPJpaamIitLKb7u3bsPlEolgoO3IiOjtLtgYOCachN1/B39+/ZBhjITQVu34dXr1+jUoQM2r10LA/3Sv/Xs+QsoFH926rC2tMTKr5Ziww9bsG7zZrRq0QLrAlehQ7t24s+8evUa/163Hq8zMmBoYICB7v3xxZgx/8XeqZzfSD8UFBRg+fLleJPzBtZW1li/br1kv/03+n/4ITIyMxG0aVPp/jAxweagILH72LPnz6HQKLM/rK2xcvlybAgKwroNG9CqZUusW7MGHdqXNjI1NTSQlJyMn3/5BZlKJRo2aABzc3Ps3L4d7cvss4pyZGZmYuMfOUxMTLBxwwbxwvT58+fQKJvDygorvvkGGzZuxPcbNqBly5b4rkyO9Jcvce586TI63sOkXcq2bdkCh0pWQgAAn2GfoaCgAGvXBCInJwedLSywcsVq1Knz575OS5PW0V693JCVpcSOHduQ+Ue3xRUrV0Pvjzpaq1Yt3LhxDQcOhKKgoABGRkbo1q0nPhtefqiL+x/7YoPkPdkgeU/K7gsbayusWv4Nvg/aKL4n68vsCw0NDdy7fx8//3IU2W/ewMjQEM5Ojpg0YUK5pXj+V1VVT3nJMNTLFwUFBfh+/bfIycmBubkFvvo6UFI3nqWlSuYM6dGjN7KzlNi9OxiZmRlo27Y9vvo6sNzkRKdOnoCBgaFkBYGK8HLM8lRP5T6v8JRjxIiRyC/Ix4qVy5GTkwMrSyus+05a/1Ofpkpmx+/btx+USiW2bP0Br1+/RscOHfHd2vWSGwMHDx7Eth+3iq+/+GIcAGDRwsXo96H0ZhMAfPrpcOTn5+Pf/14p7otvv10ryZH2zrHi5tYHSmUmfvxxGzIyXqN9+w749tu14r6oU6cObt6MR1jYfrx58waNGjWClZU1Nm3aUu54knN/uPboUy6Ht8+nKCgowLrv/vjs6GyBb1Z8K/3seJaG7Ow/90fPnm7IUiqxa+f20s+Odu3xzfJvJf+vgwd7o7ioCJs3f483b96gbdt2WLFqDZo2bSYp/8N+pcfrps2b8Pr1a5h0NEHQ9+8/xy7/5hsEbdyIDUEb0LJFS6z5dg3at//zhvL5385jydIA8fW8+aXjvsePHYcvxn9R4fvB07melzpKCK8Uwn87m9Y/SHp6OlxcXNCzZ09s3br1r3+hGnj2jM3MzX9FX1vx1z/EQKEGHzN4atX+/5m1+3+h4uSQf5mZJ3cEAEDjRuXXu5ZDQbFK7gjcSM/IkTsCAKCF8d8b3lTVFODjmH2VVfDXP1SDfKAt/3mlqPit3BEAAHVq8/G8R/kmX+4IAAAjvcpnMWdJg4OBrNm5hX/9QwwYGVEj/X9lPTVC7ggVilvnJneE/3d8fKJWMSMjI9y/f1+y7ffff8eIESMk29q0aYNDhw6992+9fv0abm7SiqClpSUZl0gIIYQQQggh1QXN4s5OjWigV8TCwgJxcXH/8e/p6+v/V79HCCGEEEIIIYS8DwedXwghhBBCCCGEEFJjn6ATQgghhBBCCPlr1MWdHXqCTgghhBBCCCGEcIAa6IQQQgghhBBCCAeoizshhBBCCCGEkEqVqPhYOrkmoCfohBBCCCGEEEIIB6iBTgghhBBCCCGEcIC6uBNCCCGEEEIIqRTN4s4OPUEnhBBCCCGEEEI4QA10QgghhBBCCCGEBwIhFSgoKBCWLFkiFBQUUA5OcvCQgXJQjn9CDh4yUA7KwXsGykE5/gk5eMjAUw5SMygEQaARBaSc7OxsNGjQAFlZWahfvz7l4CAHDxkoB+X4J+TgIQPloBy8Z6AclOOfkIOHDDzlIDUDdXEnhBBCCCGEEEI4QA10QgghhBBCCCGEA9RAJ4QQQgghhBBCOEANdFIhLS0tLFmyBFpaWpSDkxw8ZKAclOOfkIOHDJSDcvCegXJQjn9CDh4y8JSD1Aw0SRwhhBBCCCGEEMIBeoJOCCGEEEIIIYRwgBrohBBCCCGEEEIIB6iBTgghhBBCCCGEcIAa6IQQQgghhBBCCAeogU4IIYQQQggh73j9+nW5bQ8ePJAhCalJaBZ3InH8+PFy2+rXrw8zMzM0atSIWY68vLxy2z744AMoFApmGQDAwcGhXJn169eHra0t5s6dC319fSY5vLy8Ks3h7+9f5ct+bNy4sdy2+vXrw8bGBubm5lVa9rvk3hdqvNQNQ0PDSnOsXLkSbdu2rfIMvByvAB91lZc6ykPdAPg5VubMmVNumzqHh4cHkwwAH8cLDxkAPt4THjIA/Fx/XbhwAUuXLsXjx49RUlICQRCgUCjw6NEjZhmA0s9yX19f6OnpMS33XS4uLjh69KiYIy4uDiNHjsTNmzdlzUWqN2qgEwkPDw9ER0ejd+/eEAQB586dg7W1NVJSUrBgwQKMHDmSSY7WrVsjJSUFjRo1giAIyMzMRLNmzdCkSRNs3LgRdnZ2THLMnDkTOjo68PHxAQCEhYUhMzMTLVu2RGRkJI4dO8Ykx6RJk5CVlSXJoa2tjTp16iAjIwN79+6t0vJ9fX0RGxuLAQMGAACOHTsGMzMzpKSkYMiQIZg7d26Vll+W3PtCjZe6MX/+fLRr107MERoaijt37qBr1674/vvvcf78+SrPwMvxCvBRV3mpozzUDYCfY+Xzzz/Hw4cPMWTIEADAwYMH0aJFC2RlZaFVq1ZYt24dkxw8HC88ZAD4eE94yADwc/1lYmKCzZs3w87ODpqamuL2unXrMilfbfHixQgNDUXnzp3h5+cHDw8PSR5WIiMjsXDhQhw9ehS3bt3CxIkTER4ejo4dOzLPQmoQgZAy3NzchPT0dPF1enq60KdPHyEzM1MwNzdnlmP06NHCmTNnxNcRERGCv7+/cPXqVcHBwYFZDmtr60q3WVhYMMtha2tbbpudnZ0gCIJgZmZW5eW7uroKubm54uvc3FzB1dVVyM/PF0xNTau8/LLk3hdqvNSNisqytLSU/Leq8XK8CgIfdZWXOspD3RAEfo6VLl26CCUlJeLrt2/fittYvi88HC88ZBAEPt4THjIIAj/XX46OjszK+jvOnz8v+Pv7Cx06dBCmTp0qxMfHM88QEREh2NjYCLa2tsLTp0+Zl09qHhqDTiSePn0q6Uqlp6eHlJQUNGzYELVr12aW4+rVq3BzcxNf9+7dG9HR0XBwcEBRURGzHLVq1cIvv/wivv7ll19Qq1YtAGB6J7ewsBDx8fHi65s3b6KgoAAAUKdOnSovPz09HSqVSnytUqnw8uVLaGtrM+uuqyb3vlDjpW4YGBhg/fr1ePHiBV68eIHvv/8eenp6UKlUzHLwcrwCfNRVXuooD3UD4OdYUSqVePHihfg6PT0dSqUSGhoaTN8XHo4XHjIAfLwnPGQA5L/+On78OI4fP46uXbvCz88Phw4dErdV1P2elbdv36KoqAja2trQ0dHBtGnT8MUXX1R5uV5eXvD29oa3tzc2bdqEnJwc1K9fH9OnT4e3t3eVl09qtlpyByB88fLygouLCwYNGgQAOHLkCLy8vJCbmwsTExNmOTp27IgZM2ZIuma2b98eRUVF4oUdC/v27cO0adMwduxYKBQK2NraYs+ePcjPz8d3333HLMfWrVsxfPhwvH37FoIgoHbt2ti6dSvy8vIqHD/3/2369OmwsbFBnz59IAgCIiMjMW3aNOTm5qJXr15VXn5Zcu8LNV7qxk8//YSlS5eif//+AABnZ2fs378fxcXFCAkJYZKBl+MV4KOu8lJHeagbAD/HSmBgIJycnGBqagpBEHD37l189913yM3NxWeffcYsBw/HCw8ZAD7eEx4yAPJff4WFhYn/1tDQwM8//yy+VigUTMfjA6VDdA4dOgRHR0f4+/ujR48e4vdYdC+fNGlSlZdBSGVoDDopJyYmBpcvX4YgCHB2dkaXLl2YZ8jLy0NQUJAkx8SJE6GtrY2cnBw0aNCASY6MjAymk7NURqVSQUNDA1lZWRAEAQ0bNmSeIS0tDTExMRAEAQ4ODmjWrBnzDAAf+wLgp27Ex8fDyspK1gy8HK9qctdVXuooD3UD4OdYAYCCggLcvXsXgiCgU6dO0NbWZp6Bh+OFhwxqPLwnPGQA+Lj+unnzJiwtLf9yW1Xbvn07vL29Ua9evXLfe/nyJQwNDZlluX37Nu7duwdPT09kZ2ejsLCQafmk5qEGOpFQd91xcnKSNceRI0fg7u7OtHtZRUxMTNC6dWt4eXlh8ODBsl1ktm7dGh9++CG8vLzQu3dvaGiwHZ3i6ekJHx8fDBw4sMKTJUty7ws1XuqGm5sbnj17hsGDB8PLy0uWBhkvxyvAR13lpY7yUDcAfo4VGxsbeHt7w8vLC+3bt5clA8DH8cJDBoCP94SHDAA/11+2tra4cePGX25jITU1FYmJiSgsLBS3sX6Sv2bNGhw7dgxPnjzB/fv38fjxY4wYMQK//fYb0xykZqEx6ETC1tYWK1asQIcOHTB9+nRcuXJFlhw///wzTExMMHz4cBw5coT5OFa1u3fvYsWKFXj06BFcXV3x4Ycf4scff2SeIzExER9++CG2b9+O9u3bY/z48YiIiGBW/syZM3HlyhVYW1tj0KBBCAkJQU5ODrPyy5J7X6jxUjciIiJw/vx5tGzZErNnz4a5uTkWLVrENAMvxyvAR13lpY7yUDcAfo6VI0eOQEtLC35+frCzs8OKFStkWc+Yh+OFhwwAH+8JDxkA+a+/rl27hqCgILx69QobN24Uv1auXImSkhKmWYDShrGXlxd8fHwQHByMzz77DJs3b2aeY9euXTh9+rR4w7dVq1bIzMxknoPUMKxmoyP/LNnZ2cLevXuFjz76SGjRooUsGd6+fSucPHlSGDt2rNC2bVth+PDhsuRQe/TokfDpp58KGhoasuZ4/fq1rDkuXbokDBs2TPjggw9kKb8sufeFGg91Q6VSCZGRkYK3t7egq6vLvHzejldB4KOu8lBH5a4bZfFwrAiCIKSkpMiag4fjhYcMZcn9nvCSQa7rr3PnzgkBAQFC48aNhYCAAPFr9erVwr1795jlUOvcubPw9u1bccWJlJQUoX///sxzqFc1sLGxEQRBEPLy8piugkFqJpokjpTz9u1bXLhwAadOncKdO3fQp08fWXJoamqia9euSEtLw+PHj2V5mp+cnIzQ0FAcOHAAGhoa8PLywooVK5jnyM/Px9GjRxEaGoq4uDj0798fkZGRTDO8ePECBw4cQGhoKDIzMzFv3jym5avxsC8AfurGuXPnEBoailOnTsHBwQHe3t7YsWMH8xw8HK9qctdVXuooL3WDl2MFKB3jGxYWhp9//hkdOnRAcHCwLDl4OF54yADw8Z7wkAGQ9/qrR48e6NGjB/z9/dG8eXNm5VZGW1sbmpqa0NTURE5ODpo3b47k5GTmOYYOHYopU6YgOzsbu3fvxrZt2zB69GjmOUjNQmPQiYSfnx8uXryInj17wsvLC3369GE+CzMABAcHIywsDElJSfD09MTQoUNhZ2fHPIejoyO8vb0xdOhQtGzZknn5au3bt4eHhweGDh2Kbt26QaFQMC2/R48eyMrKwuDBg+Ht7Y1OnToxLb8sufeFGi91Y9iwYfDy8oKHhwc++OADWTLwcrwCfNRVXuooD3UD4OdY6dixIzp16oShQ4fC09MT9evXlyUHD8cLDxkAPt4THjIA/Fx/3blzB2vWrEFycrKka/vZs2eZ5hg/fjxWrVqFffv2ISgoCLq6ujA1NZXl5snp06dx6tQpqFQq9OvXDx9++CHzDKRmoQY6kfj1119lOymUNW/ePHh5ecl2kc8bQRBku8gHSsfUytkoL0vufcEr9Vqxajo6OszK5ul45aGu8lZH5awbPMnOzpat8VUWD8cLDxkAPt4THjIA/Fx/WVpaYvr06bCzs4Ompqa43dzcnEn5Fa25/vDhQwBAu3btmE8SB9As7oQ9aqCTcq5cuYLbt29LZs2cMGEC8xzFxcV48uSJJIeZmRnTDDdv3sSsWbNw584dSY709HSmOVJSUrBs2bJyOa5evcqk/JKSEoSGhparF4GBgUzKL0vufaHGS904e/YsZsyYgXv37qFu3brIyMhAy5YtkZSUxDQHD8crwEdd5aWO8lI3eDlWsrOzERQUVK5uhIaGMs0B8HG88JCBh/eEhwxqPFx/OTg4ICYmhmmZZam7j6enp+Py5ctwc3ODIAiIjIyEk5MTjh07xjQPzeJO5ECzuBOJmTNnYvXq1Vi0aBGSkpKwdu1aREVFMc8REhICa2tr2NjYwM/PD9bW1vj888+Z5xg3bhxWr14NAwMDJCUlYfHixZg8eTLzHCNHjsTAgQORmZmJ4OBgdO/eHf369WNWvp+fH65du4bdu3ejVatWuHz5MnJzc5mVX5bc+0KNl7oxa9YsnDx5EiYmJnj58iWOHDnC/AkDL8crwEdd5aWO8lA3AH6Olc8++wz16tVDdHQ0/Pz8oFAo0KpVK+Y5eDheeMgA8PGe8JAB4Of6y83NDYsXL0ZsbCxu374tfrESHByM4OBgFBQU4M6dOwgPD8eBAwfK3bhghWZxJ7KQa3Y6wicLCwtBEARxhkqlUin06NFDlhy5ubmClZWVIAiCEBsbK3h7ezPPYWdnJ+ZRU8/kKUeOzp07l9vGgrW1tSAIf+6HwsJCwcnJiVn5Zcm9L94tk5e6YWFhIahUKkEQBOYzzPJyvAoCH3WVxzoqV914N4eaHMeKra2tJIdKpRJnaGaJh+OFhwyCwMd7wkOGsuXLff3Vs2fPcl+9evVinsPExEQoLi4WXxcVFQkmJibMc9As7kQONIs7kVBPJKStrY309HQ0atQIqampzHNoaWmJ4ySLi4thbW2NhIQE5jl0dHRQXFwMS0tLLFq0CE2bNpVlPdA6depAEAS0a9cO27ZtQ7NmzfDmzRtm5deuXRsA0KBBA9y7dw9GRkZ48eIFs/LLkntfqPFSNxo0aIDc3Fy4urpi9OjRMDY2Zj7GmJfjFeCjrvJSR3moGwA/x4p6bK+xsTEiIiLQtGlTvH79mnkOHo4XHjIAfLwnPGQA+Ln+kmPFiYoMGzYMLi4uGDRoEBQKBQ4fPgxfX1/mOWgWdyIHaqATCXd3dyiVSsyaNQu2trbQ0NCAn58f8xyNGzeGUqnEwIED4e7uDn19fbRo0YJ5jh07dqCkpAQbNmzAd999h/v37+PAgQPMc6xduxa5ublYv349Fi9ejDdv3mDnzp3Myvf394dSqcSyZcvg7u6OvLw8BAQEMCu/LLn3hRovdePw4cPQ1tbGunXrsHfvXmRnZ+Po0aNMM/ByvAJ81FVe6igPdQPg51iZP38+srKysHr1akyZMgVv3rzBmjVrmOfg4XjhIQPAx3vCQwaAn+svpVKJgIAAXLhwAQDQvXt3LFmyBA0bNmSaIyAgAAMGDMClS5cAABs2bJBlUsM5c+bg9OnT0NLSQlxcHObPn0+zuJOqJ/MTfMKxgoICQalUSradOnWKeY7IyEjhyJEjQmFhobgtIyODeY6KDB48WO4IgiAIwqRJk2Qtf8eOHbKWX5bc+0KNl7rh6OjItDyej1dB4KOu8lJHWdeNyvByrCxfvpx5mTwcLzxkqIwc7wkPGeS8/vrkk0+EVatWCWlpaUJaWpoQGBgofPzxx0zK5tGhQ4eEly9fyh2D1DA0izv5j9ja2uLGjRtyx+Amh42NDWJjY+WOIfv+kLv8snjJwkvd4CEHL+8JwEcWHjIAfNQNnnLw8r7wkIOHDLzk4CEDyxzW1taIi4v7y201xcyZM3Hp0iXk5OSgS5cucHV1hYuLC0xMTOSORqoxmsWd/Ed4uZ/DSw6e1jqWEy/vB094qRs85OCpfvCURW481A2Anxy81A0ecvCQAeAjBw8ZAHY59PT0JENQDhw4wLx7O09Wr16NqKgoREVFwcLCAgEBAbIsIUpqFhqDTv4jvFxI8ZKDlKL3g7wPT/WDpyyEL7zUDR5y8JAB4CMHDxkAdjm2b9+OKVOmYNKkSVAoFLC3t8eOHTuYlM2jb775BlFRUcjNzYWFhQW+/fZbdOvWTe5YpJqjBjr5j/ByJ5kXvOwPuXPIXX5ZvGRhlaOwsBBaWlqy5/in4GF/8JABoBzv4iUH+RMP7wkPGQB2OVQqFdq1awdNTU2UlJRAEARMmTIFP//8M5PyeXP8+HGUlJSgd+/e6NatG5ydndGgQQO5Y5Fqjrq4k/+Ii4uL3BEAlC5jxIPdu3fLHQEAsGrVKlnL9/LyYlpeZmYmrl+/DqD0okWlUonfk3tfqLGoG4IgwMbG5r0/ExERUeU5/govxyvAvq4+e/YMly9fllxcs6yjJ06cwPfffw8AeP78Oe7cuSN+j4e6AfDzOTp16lS5IwCo+uNFEATcu3dP1gxqv/7663u3sXxP0tPTK9zOS71gdf01aNAgmJubY+7cuVi4cCEWLlyIBQsWMCmbR5cuXcL58+fh4eGBGzduwMrKChYWFnLHItUcTRJHAACzZ89+b/epwMBAhmmA06dPw8nJCfXq1cPGjRsRFxeHGTNmoFOnTkzKNzQ0lOwPQRCgUCjE/1Z2Iv//5uDgUOH7os5x9epVJjlevHiBbdu2ITk5WbJ+8fbt25mUX1ZISAhWrVqF7OxsPHr0CAkJCZgxYwZOnjzJpPx364Ya67qh5uvri4ULF8Lc3JxpuWW9ffsWW7ZsQXJyMgIDA5GcnIwnT56ge/fuzLPwUFe7dOmCiIgI5ObmwtHREWZmZmjWrBm2bt3KLAMAzJo1Cy9fvkR0dDQSExPx8uVLDBgwANHR0UxzhIaGYsGCBcjKygIg37Fy584drF69Go8fP5bUjbNnzzLN4eXlhVGjRsHd3R0aGvI8J7GyskJ8fLwsZZdV0cRndnZ24g1YFiIiIjBp0iTk5+cjOTkZ8fHxWL16NXbt2sWk/I0bN773+xMmTGCSQ83R0RFRUVFMy+RZREQELl68iAsXLiAlJQXW1tZwdXXF5MmT5Y5GqjHq4k4AAJ07dwYAXLhwAXfv3oW3tzcAICwsTJaZKmfNmoX4+HhERUVh7969mDp1Kvz9/cX1MKvay5cvmZTzV8LDw+WOAAD4+OOP0b9/fwwcOBCampqyZgkMDERUVBScnJwAAObm5khLS2NWPi91Qy0hIQE2Njbo2LEjdHR0mN+8AYAxY8agTZs2OHbsGAIDA6Gvr4/BgwfLMvMxD3W1uLgYurq62LFjB8aNG4f58+fD2tqaeY6IiAjExsaKvSwMDQ1RUFDAPMf8+fNx6tQptG3blnnZZfn4+GD69OmYMmWKrJ9jX375JXbt2oVp06bh448/hp+fHywtLZlm6N69O3799Vf079+fablqp0+fxqlTp5CWloY5c+aI27Ozs5m/N/PmzcPFixfRp08fAKU3L1h+dvF2TvnXv/6FuXPnok+fPpLhU3LccOVBaGgoXF1dMXLkSLRp00buOKSGoAY6AQD4+fkBAIKCgnDlyhXxBPnll1/K2q398OHD+OKLL+Dt7Y0VK1bIkiE1NRWJiYkoLCwUt3l4eDApu1WrVuK/i4uL8eTJE0kOVoqKirB06VLm5VakTp060NbWFl+rVCqmT6Fu37793u+znt31l19+YVpeRRISErBr1y5xjKKurq7kCSVLPNTVkpISREREYOfOnQgODgZQ2suAtdq1a0OlUok9PjIyMmR5YtusWTO0bt2aebnv0tLSwujRo+WOgd69e6N3797Iy8vDgQMH4OHhAQMDA/j7+8Pf3x86OjpVniEkJARBQUHQ0dGR3Nhj1avByMgInTt3hpaWlqT3j66uLvNzvYaGBvT19SXbWN4kWLJkieR1eno6jIyMmJX/rpMnT+LcuXN48OCB+HmhUChqbAP9hx9+eO/3nZyccOXKFUZpSE1BDXQikZWVhRcvXqBp06YASk8U6m6JLDVt2hQjRozAb7/9hri4OBQWFspywb9mzRqEh4fj3r176NWrF86cOYNu3boxa6CrhYSE4Ouvv0ZKSgpMTEwQHx8Pe3t7XL58mUn5np6eCA4Ohqenp+SOOosLyXd169YNa9asQWFhIS5cuICgoCC4u7szK3/ixImVfk+hUDDvLtuqVSucOHECDx48wOTJk/H8+XNkZmYyzaClpYXCwkKxIfjkyRPZxp3zUFfXrVuHtWvXwsvLCxYWFnj06BF69erFrHy1KVOmwMfHB69evcKyZcuwf/9+WcaSduzYEX379sWAAQMk7wnrrrtubm5YvHgxBg0aJMkhx5JJDx48wK5du3Dw4EH069cPw4YNw5UrV9CrVy8mQxBevXpV5WW8j5WVFaysrDBixAjZuvmrmZmZ4eDBgxAEASkpKVi3bh26dOnCPIfcXe3Vzpw5g7t373Izez3v5OiVRKo/GoNOJI4ePYrJkyeL3drv37+P9evX46OPPmKaIzc3FydPnoSFhQU6dOiAZ8+e4ffff0e/fv2Y5rCwsEBcXBxsbW0RHx+Pp0+fYuzYsThx4gTTHJaWloiKioKzszPi4uIQFxeHFStWYP/+/UzKL9utq+xY/EePHjEpvyyVSoUff/wRp06dgkqlQr9+/TB27FjZL/LkwsM441OnTuHf//43bt68iQEDBiAyMhJbt26Fm5sbswxqPNVVHiQmJiIiIgIqlQpubm6yNEYr69Hw7pPDqlbRTRI5bqq5uLigTp06GDVqFIYOHYq6deuK3/Pw8MDx48erPMPbt2+xdetWJCcnY9WqVbLNG3HhwgUsXbpUnBdAjuM1Ly8P33zzjeScsmjRIuY3oB0cHPDrr7+iT58+iI2NBVA6/PDWrVtMcwwfPhwBAQFo374903L/qSqaR4GQ/xU10Ek5hYWFSExMhEKhgImJyXuXcKpKx48fx8OHDyVPBU1NTZlmcHBwQExMDGxtbfHbb7+hXr16MDU1lcyEzDKHtbU1YmJiULt2bVlO3Dx48+YNPvjgA9SqVdoB6O3bt8jPz4euri7THCUlJQgNDcXt27clww5YT6hoY2MjjjNWX9TJMQHU69evERUVBZVKBScnJxgYGDAtnyfR0dFYuXKlOFGdutFx8+ZNpjkuXboES0tL8djIzs7GrVu34OzszDQHkYqJiYGDg4Nk26tXr5geM+rxtOHh4UhISMCbN2/Qo0cP5g0NExMTbN68GXZ2dpJu5WVvWtQUXbt2RXR0tOyf5dbW1khMTBSv/+SY1+SfhBropCpQF3ciUVRUhE2bNuHChQsASicF+fLLL5l3Vy37VHDy5MnQ1NTEqFGjmM8+bGtrC6VSCX9/f3Tt2hW6urro2rUr0wwA0LhxYyiVSgwcOBDu7u7Q19dHixYtmJWvVCqxfPlyPH36FPv27cPdu3dx8+ZN5ktWAUCfPn0QGRkpNtALCwvRr18/5mPA/Pz8YGxsjAMHDmD27NkICQmBlZUV0wwAH+OMw8PD0bdvX7GnjVKpxIEDBzBkyBCmOYDSLu6urq5wcXGBvb09ateuzTzDiBEjsGHDBlhYWMjas2PSpEnihT5QOr530qRJzC4m586di1WrVsHLy6vC7rKhoaFMcqgplUoEBARIzm9LlixBw4YNmeYYP358ufegX79+TC/yeZk3olGjRrIM/ygrOjoaK1asKDe7P+sbarx0tT9y5AjzMnmUkJDwt1ZHoeecpCrQE3QiMWrUKOjo6GDEiBEAgL179yInJwc7duxgmoOXp4JlJSUl4c2bN8xn233XuXPnkJ2djf79+zO7cfLJJ5/A09MTa9euxc2bN1FUVAR7e3vmFzBA6d39uLg4yTY56oa6blpaWor7pGfPnszmBVDbs2cPjhw5gujoaIwdO1YcZ+zr68ssQ0XvSdljl6Xff/8dFy9exMWLF3H9+nUYGRnBxcWF6cRT3bp1ExuBcqrouFDXVxauX78OOzs7nD9/vsLv9+jRg0kONU9PTzg7O4vntz179uDixYvMGiQPHjzA3bt3MXXqVKxfv17cnp2djWXLliEhIYFJDgBwdnZGZGQknJyccOPGDTx58gRDhgxBTEwMswwAMG3aNGRmZpabM4LlPC8dO3as8IaasbExswyAtKu9IAjo168fFi5cKMtcL+TP5f66dOny3t4DGRkZaNSoEcNkpCagJ+hEIjY2VnJB5+TkJMvyQHI/FUxKSkKbNm3Kzdhdq1Yt3L59m/k4zlu3bqF9+/bQ1tZGTk4Obt26BUdHR2YzvaalpWH06NHiRWWdOnVkezLYqFEjREREiOObz5w5Az09PeY51E9mGzRogHv37sHIyAgvXrxgnmP48OGwt7cXxxmHhoYyr58qlUryWhAEFBcXM82gZmFhASMjIxgaGsLIyAinTp1ifqNgxYoV8PX1Re/evSWNjpEjRzLNYWVlhUWLFuHLL78EULreMssbjHZ2dgBKxxkvXLhQ8r2vv/6aeQM9OTkZhw8fFl/Pnj0be/fuZVZ+QkICDh8+jMzMTISFhYnbdXV1sXXrVmY5ACAgIAADBgxAamoq/P39xXkjWMvKyoKGhob4JB8onReAZQPd2NiY+fw2Fbl//z6++eYbfPPNN3JHISg9x0+ZMgVPnjyRLAWoph7ORo1zUhWogU4ktLW1ce3aNdjb2wMofQIixxh0uWcfXrFiBbZs2VLhjN1yTCo0fPhw3LhxA7du3cL8+fMxfPhw+Pr6IiIigkn5devWhVKpFG+Y3Lhxg/mYb7XNmzdjxIgRyMzMhCAI0NfXZz7LLQD4+/tDqVRi2bJlcHd3R15eHgICApjnAID27dtLuqg+efIELVu2ZFZ+79694efnh/HjxwMAtmzZIssEcUDpvtDT08PIkSMxcuRIrF69mvnNpNWrVyM3NxeJiYmSZYpY27hxI5YtW4aBAwcCKB0esnnzZuY5Dh48WK6BHhYWVm5bVdPT05MMvTh48CDT7u2ffPIJPvnkE1y9elWWrstl9evXD3Z2duK8EatWrZJl3gj1MoRy4uWG2owZM/Ds2TMMHjwYXl5esgyZIn86evQozpw5gyNHjvytru6E/H+iLu5E4saNGxg1ahSKioogCAK0tbWxY8cO2NjYMM/Cw+zDvFB3F166dCmaNm2KsWPHMp2Y5Pr165g5cybi4+Nha2uLlJQU7N+/X5Z6ofbmzRsAkO1GwZw5czB//nzxAj8jIwOBgYFYuXIl0xxr1qxBYGAgmjVrBk1NTVkm9CkpKcGWLVtw5swZAKUNwXHjxjFdS1hty5YtuHTpEh49eoSmTZuK49FtbW2ZZTAzMyvX+6Ym2rp1K7Zs2YLbt29LLnDfvHkDGxsb7Nu3j2mepKQkTJkyBTExMdDQ0IC9vT3WrVsnmfm/Kq1btw5Tp07F7NmzK7xhw3qCyadPn5Ybd816Fvf4+HiMHz8e6enpePToEW7evImQkBCmQ1IGDRqE3NxcSRd3hULB/P0AgJcvX+LQoUMIDw9HamoqBg8ejGXLljHPQf5069YtdO7cWfZrDlKzUAOdVEi99nmDBg2YlltYWAgtLS3k5eVV+H3WY7HebYRlZmZi1apVzBthrq6u6NWrF/bu3YtLly7B2NgYVlZW+P3335llePv2Le7evQuVSoVOnToxn3wrLCwMXl5e2LhxY4XfZ72mckVjrOWYzbVjx46IiYlhfqzyLjU1FaGhoVi7di2ePXvGtMv9tGnTMHjwYOaNnXfduXMHa9asEWeTV2PVAygrKwuZmZlYuHChpNuurq5ujewW+ssvv2DgwIHYuXNnhd/38/NjlmXmzJn45ZdfyjVKWU/c5+Ligp07d8LLy0v8PDU3N2c6Hp+3G2qCIOD8+fPYtGkTTpw4gezsbLkj1Wjx8fHw8/NDQUEBBEFA3bp1sWPHDtnnIyLVG3VxJxJyz3I7ZMgQHD16FObm5pInDHKtZXz69GnJXXQ9PT2cOnWKeQM9LCwMISEh2LlzJ5o0aYInT55g9uzZzMpXz+KekpKCkJAQWWZxz8zMBFD6hIEHKpUKb968kSxhJce469atWzNfZeFdPKxlrKYeDmJsbAxnZ2f88MMPzJcV27t3L9avXw9dXV1Jl9n09HSmOXx8fDB9+nRxJQzWateuDSMjI2zZsqXc9/Ly8pjdcOXlybV6qEHDhg3h7u4u63F79OhRJCQkyLLKQVnFxcXl1ttmnalfv3747bffZL+hdu7cOYSGhuLUqVNwcHCAt7c38wl6SXnjx4/HDz/8IK7gc/XqVYwbNw5RUVEyJyPVGTXQicSoUaPg7OyMo0ePAiid5dbPz4/ZLLfqcpOSkpiU91d4aYQ1adIEM2bMEF+3bNmS6fg4Pz8/eHp64tdffwUAtGnTBl5eXkwb6CdPnhS7TbMeu1qRqVOnwtXVFT4+PgCA/fv3Y/r06czKVzc29PT0YGdnh759+0oagyy7Z37++ecVrmUsh4kTJ8q2vJra3r174eTkBF1dXQQFBSEuLg4zZ85knkNLSwujR49mXq5a2Rut73bWY3kDp23btgCAzp07Mynvr/z888+YNm0aXFxc4OXlJUtj3czMDFlZWbKMOy+rRYsWuH79OhQKBQRBQFBQULkGe1V794aa+gYj6xtqmzdvhpeXF1avXo0PPviAadmkcvn5+ZLldbt06YL8/HwZE5GagLq4E4mKlkuqaFtVq2hZi79a6qIqbN++HevWrYOPjw8EQUBoaCimTp2KMWPGMM1haGgoXugWFBQgNzcXBgYGzGYNd3BwQExMjKRbN+t6YWZmhj179mD48OE4cOBAuQt+OeYouHXrFiIjIwGUTpTGciKZyrrJqrHsLuvk5MR8HfrKFBUVYePGjZJeQF9++SXTBpB6ebOoqCjMnDkTU6dOxbp163Dp0iVmGQBg3rx5qFOnDgYNGiS5eVNT5/PYvn17uc/uiraxUFJSgoiICISHhyMiIgLOzs7YvXt3lZerXpNeqVQiNjYWzs7OkrrBuov7q1evMG3aNJw5cwYKhQK9evXC+vXrZb9xIKe3b9+iqKhIfE3LrMlr5MiRqF+/PoYPHw4A2LdvHzIzM5kcr6TmoifoROLdWW4PHDjAdJbbV69e4cWLF8jJycGdO3fERlh2drYs47DGjBmDLl26IDIyEgqFAvv27ZNlNs93u3WfPn0ax48fZ1Y+D7O4f/XVV1iwYAFSUlIwceJESQNdjpn1gdIncnI9lVM3wCtrdLDUtWtXsZeFXGsZq40bNw46OjqYNWsWgNKnY+PGjZOlq+jhw4fxxRdfwNvbm+mkV2rR0dEAIFmTneWxcunSJbi4uFT6WcW6fmzYsKHcsVLRNhY0NTXRtWtXpKWl4fHjx8xucE2aNIlJOX+XgYEB9uzZI3cMpKamIjExEYWFheI21vXz7NmzmDFjBu7du4e6desiIyMDLVu25KZHYU21ZcsWBAUFYdWqVQBK5wSSYwJBUrNQA51IbN++HVOmTMGkSZOgUChgb2/P9ML22LFj2LFjB1JSUiSTftWvXx/Lly9nlqOs4uJisTEo19rO7+rbt6/YAGFh9erV8PT0RFJSEtzc3MRZ3FnKzc3FiRMnsHz5csyfP59p2TzjodHBw1rGarGxsYiPjxdfOzk5wdrammmGpk2bYsSIEfjtt98QFxeHwsJCySRtrKh7d8jl1KlTcHFxkaz5rcayfoSFhSE0NBTJycnw9vYWt2dnZ0NPT49JhrKCg4MRFhaGpKQkeHp6Yvny5eKa8VVNvfb8119/zcXa9A8fPsSGDRvKTWRY9rOkqq1Zswbh4eG4d+8eevXqhTNnzqBbt27MP79mzZqFkydPon///oiNjcXRo0dx4sQJphlIedra2pg5c2alw5SGDBmCAwcOME5Fqjvq4k4kHj58iO+//15yslQoFExPlkDpkydPT0+mZVbk22+/RUhICLy8vCAIAg4ePAhfX1/JeHAWys5crlKpEBsbi8ePH4vLWlUl9Rq5s2fPlnUWd3WXejlmSueRutERERGBPn36iNvV8yRERETImE4+Xbt2RVBQEOzt7QGULhE4YcIE8WkyC7m5uTh58iQsLCzQoUMHPHv2DL///jv69evHLANQ2o06NDQUt2/fljwZrGlPfx4/foykpKQKZ5O3tLRErVpsn1XMmzcPXl5ezBrlFanoc1Q9NIMlS0tLTJo0STKbPADJmN+qZmFhIZ5b4uPj8fTpU4wdO5Z549je3h7Xrl2DpaUl4uPjoVAoZHlPyH+mohVdCPlf0RN0IjFo0CBMnjwZPj4+kpMlK+qltFJTUytcTov1Ulq7du1CTEyM2G13xowZcHBwYN5AL9vFvVatWujVqxcGDx7MpGwNDQ0cOXIE//rXv2Tp3q/WqVMnWFhYICkpCV26dBG3y7HuNw+6dOkCQ0NDPHv2DIMHDxbHKRoaGsLBwYFpFh7WMlbbtGkTRo0ahaKiIgiCAG1tbQQHBzPNULduXcnx2aRJEzRp0oRpBqB0GISxsTEOHDiA2bNnIyQkBFZWVsxzjB49usLZ01kNxWjVqhVatWqFixcvApCO8S0qKmLWQFcvI7p48WIAKLecKIuxxuq16e/evSv5HFWvTc+ajo4Oxo0bx7zcsrS1taGpqQlNTU3k5OSgefPmSE5OZp6jQYMGyM3NhaurK0aPHg1jY2Maf/4PUNFnGyH/K2qgEwkdHR2MHTtWtvIzMjIAlI5F50VBQYHYQC8oKJAlw5IlSwCUXkQBYD7+29bWFsOGDcPQoUMlFwwsuwD+9NNPeP78OTw8PLB+/XqxQd61a1c0btyYWQ5eqBsdEyZMwMKFC9GnTx8IgoDIyEh89dVXGDZsGLMsEyZMwJ49e8RZ/S0tLeHr6ytLA93W1hY3b95EVlYWANTo9eETEhKwZ88enD59GhMnTsTYsWPRs2dP5jmGDh0q/ruwsBCHDx+WpWt52TG+9erVw+vXr5mO8X13GdF359FgMau9t7c3+vbty83a9P/6178wd+5c9OnTRzJ/Bcslz2xtbaFUKvH555+ja9eu0NXVhaOjI7Py1Y4cOQJtbW2sW7cOe/fuRXZ2triyDSGkZqEu7kTiyJEjuHz5sqwnS57s2bMHAQEBYuPn7NmzWLJkiTibJys3b97EyJEjUVBQAEEQULduXQQHBzN7GlbRUk0KhYL5ZGRA6QyqixcvlrVByhMrKyucO3dObPBkZmaiZ8+eTLtFqldYkHOWf7X8/HwcPHiw3JhW9VPLmkT9vnTr1g0//vgjjIyMYGdnh4cPH8odDY6OjszXEba1tcWJEyfKjfENCgpimoMXxcXFePLkiWT4A+sZ/idMmIBz587B1NRU7LWnUCiYziZ/7Ngx8Smo+tiwsbGBmZkZs5sWKpUKrq6uuHz5MpPyyP8f6uJOqgI9QScSJ0+exLlz5/DgwQPJyZJVA129BExlWC8BY2xsjLNnzyI2Nha3bt1C9+7dxbGtLI0bNw4//PCDOC7v6tWrGD9+PLMLXNZdhN9n1apViImJKdcgrakNdJVKhXr16omv69WrB5VKxTQDD2sZq3388cdo2rQpF2uyy83f3x9KpRJfffUV3N3dkZeXJ/bGYalsV271HBqZmZnMc2hoaMDY2BglJSUQBAEDBgzAggULmOfgYRnRkJAQfP3110hJSYGJiQni4+Nhb2/PvIF45swZ3L17V9ZuwkFBQYiOjkbv3r0hCALOnTsHa2trpKSkYMGCBRg5cmSVZ9DQ0ICenh5evHgBY2PjKi+P/H0bN26Er69vpb1+aLk1UhWogU4k5D5Z8rYEzKxZsxAfH4+0tDQEBgZi6tSp8Pf3Z76ecX5+vmTSnC5duiA/P59Z+cOHD8eGDRvEJfcyMzMxdepU7Nq1i1kGNR4apDwZPnw4nJ2dxaURDx48yOSCsqwffvgB06ZNQ1paGpo2bYpevXph8+bNTDOovXjxAqdPn5albN6MHz8eANCrVy9Zn5qru3QDpXNotGrVClu2bGGeQ+4xvjwtI7pixQrExMTA2dkZMTExiIuLk2VISpcuXfDw4UPZbugBpcMuEhMTYWhoCKB0zpdPP/0U0dHRcHV1ZfZ5WlBQgE6dOsHFxUVSL1k/mCBSz58/h5OTEzp37gw/Pz94eHhIbv7KtdQqqd6ogU4k5D5Zsl7i5e+Sez1jKysrTJo0Sexav2/fPlhaWjIrPyEhQWycA4Cenh5+//13ZuWXxUODlCdz586Fm5ubeNNo06ZNzGeH5mUtYwD48MMPERkZiV69eskdRXa8dPd/8OAB9uzZg4sXL0KhUKBbt25wdXVlmgEo/RyXc4xv2WVEJ06cKDbQ5VhGVEtLS2wEFhcXw9raGgkJCUwzAMCtW7fQuXNnmJiYQEtLS5ZJP1NTUyVd2fX09JCSkoKGDRsyXa2kZ8+e5Y7NCxcuMCufVOyrr77CV199hd9++w27du3CzJkz4eHhgTFjxjC9DiM1C41BJxLW1tZITEyU7WTp5uaGiIgIGBoaSp7iq3Okp6czyaHm7u4OAwMDcT1jHR0dODg44ObNm0xzFBQUICgoSJyF2NXVFRMnToS2tjaT8m1tbXH8+HFxMra0tDR89NFHso27unbtmtggdXV1lXW5opps9uzZ7+1tI8dyXoaGhnj9+jV0dXUln2GsPzt40Ldv3wq7+0+cOJFpjtGjR6O4uBg+Pj5QKBTYv38/atWqxXzozMOHD9G0aVN88MEHAEq73j979gzt2rVjmoOHZUQHDhyI3bt3Y/Xq1bhy5Qr09fWRnZ3NfGmxx48fV7i9VatWzDIsWrQIp0+fxqBBgwCUzsXj5uaGefPmwd/fHz/99BOTHLwsfUcqdvbsWezYsQNxcXEYMGAAoqKi0LFjR9l6i5HqjRroRIKHkyVPeFjPWBAEmJub4/bt28zKfNfx48cxefJkuLm5iROzrV+/nuks7oQ/O3fufO/3/fz8GCV5P5VKJcuykXKztLRkfjOxImZmZuU+vyraVtXs7OwQFRUlPhUtLi4Wu3izNGfOHMyfP18yZGjVqlVYuXIl0xxq586dQ3Z2Nvr37486deowL//t27d48eKFpJdHy5YtmWaIiYnB5cuXIQgCnJ2dJUvQVTX10ne3b9+WLGWqXvpu3759zLKQ8ubPn49Dhw7B0dERo0aNkvT07NixI+7duydjOlJdURd3IsFLQ9zT0xOHDx/+y21VjYf1jBUKBaysrJCQkCDbOuS1a9fGuXPnEBcXh+TkZKhUKrRt21aWLIQfvDTAy1q4cCG+/vpr8XVxcTE+/fRThIWFyZhKHrx097ewsEBsbKy4znZcXJws67GXlJRIuizXrl1bXA+dpdOnT0t6l+jp6eHUqVPMG+gnTpzAgwcPMHnyZDx//hwPHz6Eqakp0wxr1qxBYGAgmjVrJpmYlmUXdwBwcHCAg4MD0zLVeFv6jki1b98eMTExkrlv1FjPR0RqDmqgE668ffsWRUVFSE5ORn5+vmQSnbt378qcTj4JCQmwtraGiYkJdHR0mA89UE+Wl5qaipUrV8o2WR7h082bNzFr1izcuXNHsmSTHN3Ks7KysGjRIixbtgy5ubkYNGgQ3N3dmefgwY4dO7B69WrZuvs7ODhAoVCgsLAQ9vb26NChAwDg/v37sLCwYJKhrFatWmH79u0YM2YMAGDbtm1o0aIF8xwqlQpv3ryBrq4ugNLzW3FxMdMMs2bNwsuXLxEdHY3JkydDU1MTo0aNQnR0NNMcmzdvxt27d9GgQQOm5fKkQYMGaNCgATfzeBCpMWPGIDU1FdHR0ZLzm4eHhzixICH/36iBTrgSFBSE7777DmlpaZKnxbq6uszHTfLkl19+QWFhITQ0NFBYWCguZ8Wa3JPlET6NGzcOW7duxciRI3Hx4kUEBwfLsowWAHz//feYMGEC5syZg8uXL2PcuHE1dhLBly9fylp+eHi4rOW/a8uWLZgyZQoWLlwoTla3bds25jmmTp0KFxcXDBs2DIIgYP/+/Zg+fTrTDBEREZJeDYaGhigoKGCaAQBat24tS7d6Qv6uNWvWIDw8HPfu3UOvXr1w5swZdOvWjYb4kSpFY9AJlzZu3Ii6detKtikUihp7oV12zdpOnTqJa9ayeoLNy2R5hE/29va4du2aZMxzRRMeVaXjx4+L/1apVFiwYAEcHR3xySefAECNuphKSkpCmzZtKh3jbWZmxjgRedfNmzdx/vx5KBQK9O7dGwDb96VLly6IioqCvb09bty4gYyMDLi5uTGf+NPHxwe///47+vbtCy0tLXG7HBNMElIRCwsLxMXFwdbWFvHx8Xj69CnGjh3LfEJFUrPQE3TCpaSkJPHfhYWFOH36NCwtLWtsA73smrVXr15lvmZteHg4Tp48icWLF0NPTw/Pnj3Dt99+y6x8wjcdHR0UFxfD0tISixYtQtOmTSUTPrHw7hhzW1tbFBUVISwsDAqFokY10Nu3b4+SkhKMHj263DrfCoUCZ8+elSmZPNatW4epU6dWuuoA68Zg2RuuJiYmmDlzJuzs7HD58mVmGaZMmQIfHx+8fPkSy5Ytw/79+7FgwQJm5at5eHjUqGOT/PNoa2tDU1MTmpqayMnJQfPmzZGcnCx3LFLNUQOdcOnf//635HVOTo7sy9LISe41a3mYLI/wy9PTEyUlJdiwYQO+++473L9/HwcOHGCagfWSXTxTT/RVVFTEfEwxj9QTWnbu3FnmJKXK3nCNiYlhfsMVAF69eoUpU6aIM1KHhobK0rOCx4kmCSnL1tYWSqUSn3/+Obp27QpdXV04OjrKHYtUc9RAJ/8ICoWi0iXgaoLGjRtDqVRi4MCBcHd3h76+viyTGxFSkYSEBJiamsLFxQVeXl5wd3eXbVzpixcvsG3bNiQnJ0ue4m/fvl2WPHJwd3eHkZERlEoljIyMyn2/pq0JP3DgQAD8NAblvuEKAJqamtiwYQNu3LiBFi1aID09Ha6ursyWEB0xYgR2794tTiT4LtazuBPyLvWwqU8++QSXL19G69at8cUXXwAA2rVrJ2c0UgPQGHTCpbIn7ZKSEjx79gxz5szBtGnT5A3GAbnXrCWkIiUlJYiIiEB4eDgiIiLg7OyM3bt3M8/RtWtX9O/fH3Z2dtDU1BS3f/TRR8yzyG3w4ME4ePCg3DG4ceHCBSxduhSPHz9GSUmJOKv9o0ePmOYYOHAgdu/ejdWrV+PKlSvQ19dHdna2LGNaX716hd27d2Pt2rXIzMzEmzdvmJT77NkzNGnSpNIb77ws+UpqrtGjRwMovaF5+fJluLm5QRAEREZGwsnJCceOHZM5IanOqIFOuFT2pF2rVi0YGRlJ1q8lhPAnKysLhw4dQkhICB4+fIgHDx4wz2BjY8N8oivyz2BiYoLNmzeXu3nz7oSkLMl1w3Xs2LG4d+8eDA0N4eLiAhcXF9ja2qJWLfYdK4uLi/HkyRPJElY0kSHhhZubG/bu3YvGjRsDAJ4/f47hw4fjzJkzMicj1Rl1cSdcorvnhPxzBAcHIywsDElJSfD09MTy5cthZ2cnSxZPT08EBwfD09NTMiv0u5OlkZqnUaNG6NWrl9wxJHr27ClLubm5uSgpKUGdOnWgra0tToTF2rsT5qlXKGE5YR4h75OamgoDAwPxtb6+Pp4+fSpjIlIT0BN0Qggh/5N58+bBy8tLtkZ5WW3atJGMaZWrGzPhz7Rp05CZmVnu5k1NnkX86dOnCAsLw9q1a5GdnQ2lUsm0fEtLS0RFRcHZ2RlxcXHihHn79+9nmoOQygQEBODEiRMYNGgQFAoFDh8+jP79+2PJkiVyRyPVGD1BJ4QQ8j9ZuXKl3BFEAQEBckcgnMrKyoKGhgZ+/vlncVtNW4JP7ccff8TFixdx9epV6OnpwdfXF66ursxz8DBhHiHvExAQgAEDBuDSpUsAgA0bNnBxM5pUb9RAJ4QQUm3cunVL/HdhYSFOnz4NS0tLbmbwJvKhpfj+lJ6ejjFjxmDz5s2S3gSs0Qol5J/A3t4e9vb2cscgNQh1cSeEEFJt5eTkwNPTkyb0IRg9enSFS3rVpCX4eKaeMM/d3Z0mhSWE1Gj0BJ0QQki1pVAoKl3KidQsQ4cOFf9dWFiIw4cPQ09PT8ZEZMKECdi4cSOAPyfMK7uNEEJqImqgE0IIqTYcHBzEp6QlJSV49uwZ5syZI3MqwoOPPvpI8nrw4MFwdHSUKQ0BgKioKMlrQRBw/vx5mdIQQggfqIFOCCGk2ggPDxf/XatWLRgZGVF3WQIAyMvLE/+tUqkQFxeHzMxMGRPVXP/+978RGBgIpVIJIyMjAKWN81q1atF8EYSQGo/GoBNCCCGk2lMvwaduCLZu3RoLFy5Ejx495I5WI6lUKnh7e0tuqhFCCKEn6IQQQgipAZKSkuSOQMrQ0NDAvXv35I5BCCHcoQY6IYQQQqq94uJiHD9+HMnJySgpKRG3z5gxQ8ZUNVuPHj3w66+/on///nJHIYQQblAXd0IIIYRUe/3790ejRo1gYWEBDQ0NcfvcuXNlTFWzGRgYICMjAzo6OtDR0YEgCFAoFEhPT5c7GiGEyIYa6IQQQgip9qysrBAfHy93DEIIIeS9NP76RwghhBBC/tkGDx6MgwcPori4WO4o5A9v377Fpk2bxF4MycnJ+O2332RORQgh8qIGOiGEEEKqvTZt2sDPzw9NmjSBkZERDA0NxSW+iDzGjBmD58+f4+jRowAAfX19TJs2Td5QhBAiM+riTgghhJBqr02bNrhw4QKaN28udxTyBzs7O1y/fh02NjaIjY0FQEMRCCGEnqATQgghpNpr164dDA0N5Y5BytDS0kJhYSEUCgUA4MmTJ6hTp47MqQghRF60zBohhBBCqj09PT3Y2dnBzc0NWlpa4vbAwEAZU9VsAQEBGDBgAFJTU+Hv74/IyEhs2bJF7liEECIr6uJOCCGEkGpv586dFW738/NjnISU9fr1a0RFRUGlUsHJyQkGBgZyRyKEEFlRA50QQgghhDDn6emJw4cP/+U2QgipSWgMOiGEEEKqvSNHjsDa2hrGxsY0i7vM3r59i7y8PCQnJyM/Px95eXnIy8vD8+fPcffuXbnjEUKIrGgMOiGEEEKqvZkzZ+L48ePo2LGj3FFqvKCgIHz33XdIS0uDubk51J0569evjwkTJsicjhBC5EVd3AkhhBBS7bm5ueHkyZOoVYueTfBi48aN1CAnhJB3UAOdEEIIIdXe9evXMWPGDLi6ukpmcV+8eLGMqcilS5eQnJyMkpIScdvIkSNlTEQIIfKi28iEEEIIqfamTZsGU1NTNG7cGBoaNAUPD3x9ffH8+XPY2NhAU1MTAMQ10QkhpKaiJ+iEEEIIqfasra0RFxcndwxShpmZGW7fvi13DEII4QrdQiaEEEJItTdgwADs2rULmZmZ4qzheXl5cseq0bp06UKzthNCyDvoCTohhBBCqr02bdqU26ZQKPDo0SMZ0hCgtFdDYmIiTExMJPMCXL16VcZUhBAiL2qgE0IIIYQQ5h4/foxjx46hpKQEH3/8MZ49e4b69evDzMxM7miEECIbaqATQgghpNorKirCxo0bceHCBQBAjx498MUXX6BOnToyJ6u5Zs2ahZcvXyI6OhqJiYl4+fIlBgwYgOjoaLmjEUKIbKiBTgghhJBqb9SoUdDR0cGIESMAAHv37kVOTg527Nghb7AazMbGBrGxseJ/AcDKygrx8fEyJyOEEPnQMmuEEEIIqfZiY2MlDT8nJydYW1vLF4igdu3aUKlU4tJqGRkZtAQeIaTGo09BQgghhFR72trauHbtmvj6+vXrkonJCHtTpkyBj48PXr16hWXLlqF79+6YM2eO3LEIIURW1MWdEEIIIdVebGws/Pz8UFRUBEEQoK2tjR07dsDGxkbuaDVaYmIiIiIioFKp4ObmRhPEEUJqPOriTgghhJBqLyQkBOfPnxe7UJeUlCAwMJAa6DLr1KkTOnXqJHcMQgjhBj1BJ4QQQki1V3YiMjVbW1vcuHFDpkSEEEJIeTQGnRBCCCHVnkqlwps3b8TX2dnZKC4uljERIYQQUh51cSeEEEJItTd16lS4urrCx8cHALB//35Mnz5d5lSEEEKIFHVxJ4QQQkiNcOvWLURGRgIAevfuDXNzc5kTEUIIIVLUQCeEEEIIIYQQQjhAY9AJIYQQQgghhBAOUAOdEEIIIYQQQgjhADXQCSGEEEIIIYQQDlADnRBCCCGEEEII4QA10AkhhBBCCCGEEA5QA50QQgghhBBCCOEANdAJIYQQQgghhBAOUAOdEEIIIYQQQgjhwP8BAf5dwMRfYIcAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import numpy as np\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 10))\n",
    "\n",
    "mat = feature_merged.iloc[: , 1:].corr().round(2)\n",
    "mat3 = feature_merged_sans_nans.iloc[: , 1:].corr().round(2)\n",
    "\n",
    "mask = np.triu(np.ones_like(mat, dtype=bool))\n",
    "mask3 = np.triu(np.ones_like(mat3, dtype=bool))\n",
    "\n",
    "plt.xticks(fontsize = 7) \n",
    "plt.yticks(fontsize = 7) \n",
    "\n",
    "# standard\n",
    "sns.heatmap(mat, annot=True, cmap=\"vlag\", mask=mask)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "c4d831d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# with filled nans\n",
    "fig, ax = plt.subplots(figsize=(12, 10))\n",
    "plt.xticks(fontsize = 7) \n",
    "plt.yticks(fontsize = 7) \n",
    "\n",
    "sns.heatmap(mat3, annot=True, cmap = \"vlag\", mask=mask3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f4b95782",
   "metadata": {},
   "outputs": [],
   "source": [
    "# hierboven zien we negatieve correlatie tussen tijd op scherm en communicatie apps en activiteit en positieve correlatie tussen valence en arousal\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "8d08ad7d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         3.0       0.00      0.00      0.00         1\n",
      "         5.0       0.00      0.00      0.00         5\n",
      "         6.0       0.37      0.28      0.32        53\n",
      "         7.0       0.58      0.73      0.64       130\n",
      "         8.0       0.48      0.37      0.42        62\n",
      "         9.0       0.00      0.00      0.00         3\n",
      "\n",
      "    accuracy                           0.52       254\n",
      "   macro avg       0.24      0.23      0.23       254\n",
      "weighted avg       0.49      0.52      0.50       254\n",
      "\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "The number of FixedLocator locations (6), usually from a call to set_ticks, does not match the number of labels (8).",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[79], line 26\u001b[0m\n\u001b[0;32m     24\u001b[0m cm \u001b[38;5;241m=\u001b[39m confusion_matrix(y_test, y_pred)\n\u001b[0;32m     25\u001b[0m disp \u001b[38;5;241m=\u001b[39m ConfusionMatrixDisplay(confusion_matrix\u001b[38;5;241m=\u001b[39mcm, display_labels\u001b[38;5;241m=\u001b[39mm\u001b[38;5;241m.\u001b[39mclasses_)\n\u001b[1;32m---> 26\u001b[0m \u001b[43mdisp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32mc:\\Users\\Ikhlasse\\anaconda3\\envs\\DL\\Lib\\site-packages\\sklearn\\metrics\\_plot\\confusion_matrix.py:181\u001b[0m, in \u001b[0;36mConfusionMatrixDisplay.plot\u001b[1;34m(self, include_values, cmap, xticks_rotation, values_format, ax, colorbar, im_kw, text_kw)\u001b[0m\n\u001b[0;32m    179\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m colorbar:\n\u001b[0;32m    180\u001b[0m     fig\u001b[38;5;241m.\u001b[39mcolorbar(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mim_, ax\u001b[38;5;241m=\u001b[39max)\n\u001b[1;32m--> 181\u001b[0m \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    182\u001b[0m \u001b[43m    \u001b[49m\u001b[43mxticks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marange\u001b[49m\u001b[43m(\u001b[49m\u001b[43mn_classes\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    183\u001b[0m \u001b[43m    \u001b[49m\u001b[43myticks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marange\u001b[49m\u001b[43m(\u001b[49m\u001b[43mn_classes\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    184\u001b[0m \u001b[43m    \u001b[49m\u001b[43mxticklabels\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdisplay_labels\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    185\u001b[0m \u001b[43m    \u001b[49m\u001b[43myticklabels\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdisplay_labels\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    186\u001b[0m \u001b[43m    \u001b[49m\u001b[43mylabel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTrue label\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m    187\u001b[0m \u001b[43m    \u001b[49m\u001b[43mxlabel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mPredicted label\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m    188\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    190\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_ylim((n_classes \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m0.5\u001b[39m, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m0.5\u001b[39m))\n\u001b[0;32m    191\u001b[0m plt\u001b[38;5;241m.\u001b[39msetp(ax\u001b[38;5;241m.\u001b[39mget_xticklabels(), rotation\u001b[38;5;241m=\u001b[39mxticks_rotation)\n",
      "File \u001b[1;32mc:\\Users\\Ikhlasse\\anaconda3\\envs\\DL\\Lib\\site-packages\\matplotlib\\artist.py:147\u001b[0m, in \u001b[0;36mArtist.__init_subclass__.<locals>.<lambda>\u001b[1;34m(self, **kwargs)\u001b[0m\n\u001b[0;32m    139\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mset, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_autogenerated_signature\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[0;32m    140\u001b[0m     \u001b[38;5;66;03m# Don't overwrite cls.set if the subclass or one of its parents\u001b[39;00m\n\u001b[0;32m    141\u001b[0m     \u001b[38;5;66;03m# has defined a set method set itself.\u001b[39;00m\n\u001b[0;32m    142\u001b[0m     \u001b[38;5;66;03m# If there was no explicit definition, cls.set is inherited from\u001b[39;00m\n\u001b[0;32m    143\u001b[0m     \u001b[38;5;66;03m# the hierarchy of auto-generated set methods, which hold the\u001b[39;00m\n\u001b[0;32m    144\u001b[0m     \u001b[38;5;66;03m# flag _autogenerated_signature.\u001b[39;00m\n\u001b[0;32m    145\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[1;32m--> 147\u001b[0m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mset \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mlambda\u001b[39;00m \u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: \u001b[43mArtist\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    148\u001b[0m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mset\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mset\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    149\u001b[0m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mset\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__qualname__\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__qualname__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.set\u001b[39m\u001b[38;5;124m\"\u001b[39m\n",
      "File \u001b[1;32mc:\\Users\\Ikhlasse\\anaconda3\\envs\\DL\\Lib\\site-packages\\matplotlib\\artist.py:1227\u001b[0m, in \u001b[0;36mArtist.set\u001b[1;34m(self, **kwargs)\u001b[0m\n\u001b[0;32m   1223\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mset\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m   1224\u001b[0m     \u001b[38;5;66;03m# docstring and signature are auto-generated via\u001b[39;00m\n\u001b[0;32m   1225\u001b[0m     \u001b[38;5;66;03m# Artist._update_set_signature_and_docstring() at the end of the\u001b[39;00m\n\u001b[0;32m   1226\u001b[0m     \u001b[38;5;66;03m# module.\u001b[39;00m\n\u001b[1;32m-> 1227\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_internal_update\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcbook\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnormalize_kwargs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32mc:\\Users\\Ikhlasse\\anaconda3\\envs\\DL\\Lib\\site-packages\\matplotlib\\artist.py:1219\u001b[0m, in \u001b[0;36mArtist._internal_update\u001b[1;34m(self, kwargs)\u001b[0m\n\u001b[0;32m   1212\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_internal_update\u001b[39m(\u001b[38;5;28mself\u001b[39m, kwargs):\n\u001b[0;32m   1213\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m   1214\u001b[0m \u001b[38;5;124;03m    Update artist properties without prenormalizing them, but generating\u001b[39;00m\n\u001b[0;32m   1215\u001b[0m \u001b[38;5;124;03m    errors as if calling `set`.\u001b[39;00m\n\u001b[0;32m   1216\u001b[0m \n\u001b[0;32m   1217\u001b[0m \u001b[38;5;124;03m    The lack of prenormalization is to maintain backcompatibility.\u001b[39;00m\n\u001b[0;32m   1218\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m-> 1219\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_props\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m   1220\u001b[0m \u001b[43m        \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;132;43;01m{cls.__name__}\u001b[39;49;00m\u001b[38;5;124;43m.set() got an unexpected keyword argument \u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[0;32m   1221\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;132;43;01m{prop_name!r}\u001b[39;49;00m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32mc:\\Users\\Ikhlasse\\anaconda3\\envs\\DL\\Lib\\site-packages\\matplotlib\\artist.py:1195\u001b[0m, in \u001b[0;36mArtist._update_props\u001b[1;34m(self, props, errfmt)\u001b[0m\n\u001b[0;32m   1192\u001b[0m             \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mcallable\u001b[39m(func):\n\u001b[0;32m   1193\u001b[0m                 \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(\n\u001b[0;32m   1194\u001b[0m                     errfmt\u001b[38;5;241m.\u001b[39mformat(\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m), prop_name\u001b[38;5;241m=\u001b[39mk))\n\u001b[1;32m-> 1195\u001b[0m             ret\u001b[38;5;241m.\u001b[39mappend(\u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mv\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[0;32m   1196\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ret:\n\u001b[0;32m   1197\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpchanged()\n",
      "File \u001b[1;32mc:\\Users\\Ikhlasse\\anaconda3\\envs\\DL\\Lib\\site-packages\\matplotlib\\axes\\_base.py:73\u001b[0m, in \u001b[0;36m_axis_method_wrapper.__set_name__.<locals>.wrapper\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m     72\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m---> 73\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mget_method\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32mc:\\Users\\Ikhlasse\\anaconda3\\envs\\DL\\Lib\\site-packages\\matplotlib\\_api\\deprecation.py:297\u001b[0m, in \u001b[0;36mrename_parameter.<locals>.wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m    292\u001b[0m     warn_deprecated(\n\u001b[0;32m    293\u001b[0m         since, message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mold\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m parameter of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m() \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    294\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas been renamed \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnew\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m since Matplotlib \u001b[39m\u001b[38;5;132;01m{\u001b[39;00msince\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m; support \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    295\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfor the old name will be dropped %(removal)s.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    296\u001b[0m     kwargs[new] \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mpop(old)\n\u001b[1;32m--> 297\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32mc:\\Users\\Ikhlasse\\anaconda3\\envs\\DL\\Lib\\site-packages\\matplotlib\\axis.py:2025\u001b[0m, in \u001b[0;36mAxis.set_ticklabels\u001b[1;34m(self, labels, minor, fontdict, **kwargs)\u001b[0m\n\u001b[0;32m   2021\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(locator, mticker\u001b[38;5;241m.\u001b[39mFixedLocator):\n\u001b[0;32m   2022\u001b[0m     \u001b[38;5;66;03m# Passing [] as a list of labels is often used as a way to\u001b[39;00m\n\u001b[0;32m   2023\u001b[0m     \u001b[38;5;66;03m# remove all tick labels, so only error for > 0 labels\u001b[39;00m\n\u001b[0;32m   2024\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(locator\u001b[38;5;241m.\u001b[39mlocs) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(labels) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(labels) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m-> 2025\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m   2026\u001b[0m             \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe number of FixedLocator locations\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   2027\u001b[0m             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(locator\u001b[38;5;241m.\u001b[39mlocs)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m), usually from a call to\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   2028\u001b[0m             \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m set_ticks, does not match\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   2029\u001b[0m             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m the number of labels (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(labels)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m   2030\u001b[0m     tickd \u001b[38;5;241m=\u001b[39m {loc: lab \u001b[38;5;28;01mfor\u001b[39;00m loc, lab \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(locator\u001b[38;5;241m.\u001b[39mlocs, labels)}\n\u001b[0;32m   2031\u001b[0m     func \u001b[38;5;241m=\u001b[39m functools\u001b[38;5;241m.\u001b[39mpartial(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_format_with_dict, tickd)\n",
      "\u001b[1;31mValueError\u001b[0m: The number of FixedLocator locations (6), usually from a call to set_ticks, does not match the number of labels (8)."
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier, HistGradientBoostingClassifier, HistGradientBoostingRegressor\n",
    "from sklearn.model_selection import train_test_split, TimeSeriesSplit\n",
    "from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay\n",
    "from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor\n",
    "import numpy as np\n",
    "\n",
    "labels = merged[\"mood_avg_next\"].round()\n",
    "X = feature_merged.iloc[:, 1:]\n",
    "# classifier\n",
    "y = np.array(labels, dtype=str)\n",
    "# regression\n",
    "# y = np.array(labels, dtype=float)\n",
    "\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=12345)\n",
    "\n",
    "m = HistGradientBoostingClassifier().fit(X_train, y_train)\n",
    "y_pred = m.predict(X_test)\n",
    "\n",
    "\n",
    "\n",
    "print(classification_report(y_test, y_pred, zero_division=0))\n",
    "\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=m.classes_)\n",
    "disp.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "435ac7df",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         3.0       0.00      0.00      0.00         1\n",
      "         4.0       0.00      0.00      0.00         0\n",
      "         5.0       0.00      0.00      0.00         5\n",
      "         6.0       0.52      0.30      0.38        53\n",
      "         7.0       0.56      0.81      0.66       130\n",
      "         8.0       0.53      0.31      0.39        62\n",
      "         9.0       0.00      0.00      0.00         3\n",
      "\n",
      "    accuracy                           0.55       254\n",
      "   macro avg       0.23      0.20      0.20       254\n",
      "weighted avg       0.53      0.55      0.51       254\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x1e725b49890>"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = merged_sans_nans[\"mood_avg_next\"].round()\n",
    "X = feature_merged_sans_nans.iloc[:, 1:]\n",
    "y = np.array(labels, dtype=str)\n",
    "# regression\n",
    "# y = np.array(labels, dtype=float)\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=12345)\n",
    "\n",
    "m = RandomForestClassifier().fit(X_train, y_train)\n",
    "y_pred = m.predict(X_test)\n",
    "\n",
    "\n",
    "\n",
    "print(classification_report(y_test, y_pred, zero_division=0))\n",
    "\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=m.classes_)\n",
    "disp.plot()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c674bb52",
   "metadata": {},
   "outputs": [],
   "source": [
    "tscv = TimeSeriesSplit()\n",
    "\n",
    "for train_index, test_index in tscv.split(X):\n",
    "     print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n",
    "\n",
    "     #To get the indices \n",
    "     X_train, X_test = X[train_index], X[test_index]\n",
    "     y_train, y_test = y[train_index], y[test_index]"
   ]
  }
 ],
 "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",
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