Data exploration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6a3532a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt  \n",
    "import seaborn as sns\n",
    "from matplotlib import style"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0934f727",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_X = pd.read_csv(\n",
    "    \"data/train_feature.csv\",\n",
    "    index_col=\"id\"\n",
    ")\n",
    "\n",
    "train_Y = pd.read_csv(\n",
    "    \"data/train_labels.csv\",\n",
    "    index_col=\"id\"\n",
    ")\n",
    "\n",
    "test = pd.read_csv(\n",
    "    \"data/test.csv\",\n",
    "    index_col=\"id\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c0f22f88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "functional                 32259\n",
      "non functional             22824\n",
      "functional needs repair     4317\n",
      "Name: status_group, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "labels = train_Y['status_group'].value_counts()\n",
    "print(labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "759d0990",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "funder                3635\n",
       "installer             3655\n",
       "subvillage             371\n",
       "public_meeting        3334\n",
       "scheme_management     3877\n",
       "scheme_name          28166\n",
       "permit                3056\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_X.isnull().sum()[train_X.isnull().sum()>0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "093558ce",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>amount_tsh</th>\n",
       "      <th>date_recorded</th>\n",
       "      <th>funder</th>\n",
       "      <th>gps_height</th>\n",
       "      <th>installer</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>wpt_name</th>\n",
       "      <th>num_private</th>\n",
       "      <th>basin</th>\n",
       "      <th>subvillage</th>\n",
       "      <th>region</th>\n",
       "      <th>region_code</th>\n",
       "      <th>district_code</th>\n",
       "      <th>lga</th>\n",
       "      <th>ward</th>\n",
       "      <th>population</th>\n",
       "      <th>public_meeting</th>\n",
       "      <th>recorded_by</th>\n",
       "      <th>scheme_management</th>\n",
       "      <th>scheme_name</th>\n",
       "      <th>permit</th>\n",
       "      <th>construction_year</th>\n",
       "      <th>extraction_type</th>\n",
       "      <th>extraction_type_group</th>\n",
       "      <th>extraction_type_class</th>\n",
       "      <th>management</th>\n",
       "      <th>management_group</th>\n",
       "      <th>payment</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>water_quality</th>\n",
       "      <th>quality_group</th>\n",
       "      <th>quantity</th>\n",
       "      <th>quantity_group</th>\n",
       "      <th>source</th>\n",
       "      <th>source_type</th>\n",
       "      <th>source_class</th>\n",
       "      <th>waterpoint_type</th>\n",
       "      <th>waterpoint_type_group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>59400.000000</td>\n",
       "      <td>59400</td>\n",
       "      <td>55765</td>\n",
       "      <td>59400.000000</td>\n",
       "      <td>55745</td>\n",
       "      <td>59400.000000</td>\n",
       "      <td>5.940000e+04</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400.000000</td>\n",
       "      <td>59400</td>\n",
       "      <td>59029</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400.000000</td>\n",
       "      <td>59400.000000</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400.000000</td>\n",
       "      <td>56066</td>\n",
       "      <td>59400</td>\n",
       "      <td>55523</td>\n",
       "      <td>31234</td>\n",
       "      <td>56344</td>\n",
       "      <td>59400.000000</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "      <td>59400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>356</td>\n",
       "      <td>1897</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2145</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>19287</td>\n",
       "      <td>21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125</td>\n",
       "      <td>2092</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>2696</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2011-03-15</td>\n",
       "      <td>Government Of Tanzania</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>none</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Madukani</td>\n",
       "      <td>Iringa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Njombe</td>\n",
       "      <td>Igosi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>VWC</td>\n",
       "      <td>K</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>vwc</td>\n",
       "      <td>user-group</td>\n",
       "      <td>never pay</td>\n",
       "      <td>never pay</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>spring</td>\n",
       "      <td>spring</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>communal standpipe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>572</td>\n",
       "      <td>9084</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17402</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3563</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10248</td>\n",
       "      <td>508</td>\n",
       "      <td>5294</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2503</td>\n",
       "      <td>307</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51011</td>\n",
       "      <td>59400</td>\n",
       "      <td>36793</td>\n",
       "      <td>682</td>\n",
       "      <td>38852</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26780</td>\n",
       "      <td>26780</td>\n",
       "      <td>26780</td>\n",
       "      <td>40507</td>\n",
       "      <td>52490</td>\n",
       "      <td>25348</td>\n",
       "      <td>25348</td>\n",
       "      <td>50818</td>\n",
       "      <td>50818</td>\n",
       "      <td>33186</td>\n",
       "      <td>33186</td>\n",
       "      <td>17021</td>\n",
       "      <td>17021</td>\n",
       "      <td>45794</td>\n",
       "      <td>28522</td>\n",
       "      <td>34625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>317.650385</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>668.297239</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.077427</td>\n",
       "      <td>-5.706033e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.474141</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.297003</td>\n",
       "      <td>5.629747</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>179.909983</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1300.652475</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2997.574558</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>693.116350</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.567432</td>\n",
       "      <td>2.946019e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.236230</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.587406</td>\n",
       "      <td>9.633649</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>471.482176</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>951.620547</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-90.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.164944e+01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.090347</td>\n",
       "      <td>-8.540621e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>369.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.908743</td>\n",
       "      <td>-5.021597e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1986.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1319.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.178387</td>\n",
       "      <td>-3.326156e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>215.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2004.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>350000.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2770.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.345193</td>\n",
       "      <td>-2.000000e-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1776.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30500.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           amount_tsh date_recorded                  funder    gps_height  \\\n",
       "count    59400.000000         59400                   55765  59400.000000   \n",
       "unique            NaN           356                    1897           NaN   \n",
       "top               NaN    2011-03-15  Government Of Tanzania           NaN   \n",
       "freq              NaN           572                    9084           NaN   \n",
       "mean       317.650385           NaN                     NaN    668.297239   \n",
       "std       2997.574558           NaN                     NaN    693.116350   \n",
       "min          0.000000           NaN                     NaN    -90.000000   \n",
       "25%          0.000000           NaN                     NaN      0.000000   \n",
       "50%          0.000000           NaN                     NaN    369.000000   \n",
       "75%         20.000000           NaN                     NaN   1319.250000   \n",
       "max     350000.000000           NaN                     NaN   2770.000000   \n",
       "\n",
       "       installer     longitude      latitude wpt_name   num_private  \\\n",
       "count      55745  59400.000000  5.940000e+04    59400  59400.000000   \n",
       "unique      2145           NaN           NaN    37400           NaN   \n",
       "top          DWE           NaN           NaN     none           NaN   \n",
       "freq       17402           NaN           NaN     3563           NaN   \n",
       "mean         NaN     34.077427 -5.706033e+00      NaN      0.474141   \n",
       "std          NaN      6.567432  2.946019e+00      NaN     12.236230   \n",
       "min          NaN      0.000000 -1.164944e+01      NaN      0.000000   \n",
       "25%          NaN     33.090347 -8.540621e+00      NaN      0.000000   \n",
       "50%          NaN     34.908743 -5.021597e+00      NaN      0.000000   \n",
       "75%          NaN     37.178387 -3.326156e+00      NaN      0.000000   \n",
       "max          NaN     40.345193 -2.000000e-08      NaN   1776.000000   \n",
       "\n",
       "                basin subvillage  region   region_code  district_code     lga  \\\n",
       "count           59400      59029   59400  59400.000000   59400.000000   59400   \n",
       "unique              9      19287      21           NaN            NaN     125   \n",
       "top     Lake Victoria   Madukani  Iringa           NaN            NaN  Njombe   \n",
       "freq            10248        508    5294           NaN            NaN    2503   \n",
       "mean              NaN        NaN     NaN     15.297003       5.629747     NaN   \n",
       "std               NaN        NaN     NaN     17.587406       9.633649     NaN   \n",
       "min               NaN        NaN     NaN      1.000000       0.000000     NaN   \n",
       "25%               NaN        NaN     NaN      5.000000       2.000000     NaN   \n",
       "50%               NaN        NaN     NaN     12.000000       3.000000     NaN   \n",
       "75%               NaN        NaN     NaN     17.000000       5.000000     NaN   \n",
       "max               NaN        NaN     NaN     99.000000      80.000000     NaN   \n",
       "\n",
       "         ward    population public_meeting              recorded_by  \\\n",
       "count   59400  59400.000000          56066                    59400   \n",
       "unique   2092           NaN              2                        1   \n",
       "top     Igosi           NaN           True  GeoData Consultants Ltd   \n",
       "freq      307           NaN          51011                    59400   \n",
       "mean      NaN    179.909983            NaN                      NaN   \n",
       "std       NaN    471.482176            NaN                      NaN   \n",
       "min       NaN      0.000000            NaN                      NaN   \n",
       "25%       NaN      0.000000            NaN                      NaN   \n",
       "50%       NaN     25.000000            NaN                      NaN   \n",
       "75%       NaN    215.000000            NaN                      NaN   \n",
       "max       NaN  30500.000000            NaN                      NaN   \n",
       "\n",
       "       scheme_management scheme_name permit  construction_year  \\\n",
       "count              55523       31234  56344       59400.000000   \n",
       "unique                12        2696      2                NaN   \n",
       "top                  VWC           K   True                NaN   \n",
       "freq               36793         682  38852                NaN   \n",
       "mean                 NaN         NaN    NaN        1300.652475   \n",
       "std                  NaN         NaN    NaN         951.620547   \n",
       "min                  NaN         NaN    NaN           0.000000   \n",
       "25%                  NaN         NaN    NaN           0.000000   \n",
       "50%                  NaN         NaN    NaN        1986.000000   \n",
       "75%                  NaN         NaN    NaN        2004.000000   \n",
       "max                  NaN         NaN    NaN        2013.000000   \n",
       "\n",
       "       extraction_type extraction_type_group extraction_type_class management  \\\n",
       "count            59400                 59400                 59400      59400   \n",
       "unique              18                    13                     7         12   \n",
       "top            gravity               gravity               gravity        vwc   \n",
       "freq             26780                 26780                 26780      40507   \n",
       "mean               NaN                   NaN                   NaN        NaN   \n",
       "std                NaN                   NaN                   NaN        NaN   \n",
       "min                NaN                   NaN                   NaN        NaN   \n",
       "25%                NaN                   NaN                   NaN        NaN   \n",
       "50%                NaN                   NaN                   NaN        NaN   \n",
       "75%                NaN                   NaN                   NaN        NaN   \n",
       "max                NaN                   NaN                   NaN        NaN   \n",
       "\n",
       "       management_group    payment payment_type water_quality quality_group  \\\n",
       "count             59400      59400        59400         59400         59400   \n",
       "unique                5          7            7             8             6   \n",
       "top          user-group  never pay    never pay          soft          good   \n",
       "freq              52490      25348        25348         50818         50818   \n",
       "mean                NaN        NaN          NaN           NaN           NaN   \n",
       "std                 NaN        NaN          NaN           NaN           NaN   \n",
       "min                 NaN        NaN          NaN           NaN           NaN   \n",
       "25%                 NaN        NaN          NaN           NaN           NaN   \n",
       "50%                 NaN        NaN          NaN           NaN           NaN   \n",
       "75%                 NaN        NaN          NaN           NaN           NaN   \n",
       "max                 NaN        NaN          NaN           NaN           NaN   \n",
       "\n",
       "       quantity quantity_group  source source_type source_class  \\\n",
       "count     59400          59400   59400       59400        59400   \n",
       "unique        5              5      10           7            3   \n",
       "top      enough         enough  spring      spring  groundwater   \n",
       "freq      33186          33186   17021       17021        45794   \n",
       "mean        NaN            NaN     NaN         NaN          NaN   \n",
       "std         NaN            NaN     NaN         NaN          NaN   \n",
       "min         NaN            NaN     NaN         NaN          NaN   \n",
       "25%         NaN            NaN     NaN         NaN          NaN   \n",
       "50%         NaN            NaN     NaN         NaN          NaN   \n",
       "75%         NaN            NaN     NaN         NaN          NaN   \n",
       "max         NaN            NaN     NaN         NaN          NaN   \n",
       "\n",
       "           waterpoint_type waterpoint_type_group  \n",
       "count                59400                 59400  \n",
       "unique                   7                     6  \n",
       "top     communal standpipe    communal standpipe  \n",
       "freq                 28522                 34625  \n",
       "mean                   NaN                   NaN  \n",
       "std                    NaN                   NaN  \n",
       "min                    NaN                   NaN  \n",
       "25%                    NaN                   NaN  \n",
       "50%                    NaN                   NaN  \n",
       "75%                    NaN                   NaN  \n",
       "max                    NaN                   NaN  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.options.display.max_columns = 40\n",
    "summary = train_X.describe(include='all')\n",
    "summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9e04e397",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>amount_tsh</th>\n",
       "      <th>gps_height</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>num_private</th>\n",
       "      <th>region_code</th>\n",
       "      <th>district_code</th>\n",
       "      <th>population</th>\n",
       "      <th>construction_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>amount_tsh</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.076650</td>\n",
       "      <td>0.022134</td>\n",
       "      <td>-0.052670</td>\n",
       "      <td>0.002944</td>\n",
       "      <td>-0.026813</td>\n",
       "      <td>-0.023599</td>\n",
       "      <td>0.016288</td>\n",
       "      <td>0.067915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gps_height</th>\n",
       "      <td>0.076650</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.149155</td>\n",
       "      <td>-0.035751</td>\n",
       "      <td>0.007237</td>\n",
       "      <td>-0.183521</td>\n",
       "      <td>-0.171233</td>\n",
       "      <td>0.135003</td>\n",
       "      <td>0.658727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>longitude</th>\n",
       "      <td>0.022134</td>\n",
       "      <td>0.149155</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.425802</td>\n",
       "      <td>0.023873</td>\n",
       "      <td>0.034197</td>\n",
       "      <td>0.151398</td>\n",
       "      <td>0.086590</td>\n",
       "      <td>0.396732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>latitude</th>\n",
       "      <td>-0.052670</td>\n",
       "      <td>-0.035751</td>\n",
       "      <td>-0.425802</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.006837</td>\n",
       "      <td>-0.221018</td>\n",
       "      <td>-0.201020</td>\n",
       "      <td>-0.022152</td>\n",
       "      <td>-0.245278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>num_private</th>\n",
       "      <td>0.002944</td>\n",
       "      <td>0.007237</td>\n",
       "      <td>0.023873</td>\n",
       "      <td>0.006837</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.020377</td>\n",
       "      <td>-0.004478</td>\n",
       "      <td>0.003818</td>\n",
       "      <td>0.026056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>region_code</th>\n",
       "      <td>-0.026813</td>\n",
       "      <td>-0.183521</td>\n",
       "      <td>0.034197</td>\n",
       "      <td>-0.221018</td>\n",
       "      <td>-0.020377</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.678602</td>\n",
       "      <td>0.094088</td>\n",
       "      <td>0.031724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>district_code</th>\n",
       "      <td>-0.023599</td>\n",
       "      <td>-0.171233</td>\n",
       "      <td>0.151398</td>\n",
       "      <td>-0.201020</td>\n",
       "      <td>-0.004478</td>\n",
       "      <td>0.678602</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.061831</td>\n",
       "      <td>0.048315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>population</th>\n",
       "      <td>0.016288</td>\n",
       "      <td>0.135003</td>\n",
       "      <td>0.086590</td>\n",
       "      <td>-0.022152</td>\n",
       "      <td>0.003818</td>\n",
       "      <td>0.094088</td>\n",
       "      <td>0.061831</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.260910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>construction_year</th>\n",
       "      <td>0.067915</td>\n",
       "      <td>0.658727</td>\n",
       "      <td>0.396732</td>\n",
       "      <td>-0.245278</td>\n",
       "      <td>0.026056</td>\n",
       "      <td>0.031724</td>\n",
       "      <td>0.048315</td>\n",
       "      <td>0.260910</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   amount_tsh  gps_height  longitude  latitude  num_private  \\\n",
       "amount_tsh           1.000000    0.076650   0.022134 -0.052670     0.002944   \n",
       "gps_height           0.076650    1.000000   0.149155 -0.035751     0.007237   \n",
       "longitude            0.022134    0.149155   1.000000 -0.425802     0.023873   \n",
       "latitude            -0.052670   -0.035751  -0.425802  1.000000     0.006837   \n",
       "num_private          0.002944    0.007237   0.023873  0.006837     1.000000   \n",
       "region_code         -0.026813   -0.183521   0.034197 -0.221018    -0.020377   \n",
       "district_code       -0.023599   -0.171233   0.151398 -0.201020    -0.004478   \n",
       "population           0.016288    0.135003   0.086590 -0.022152     0.003818   \n",
       "construction_year    0.067915    0.658727   0.396732 -0.245278     0.026056   \n",
       "\n",
       "                   region_code  district_code  population  construction_year  \n",
       "amount_tsh           -0.026813      -0.023599    0.016288           0.067915  \n",
       "gps_height           -0.183521      -0.171233    0.135003           0.658727  \n",
       "longitude             0.034197       0.151398    0.086590           0.396732  \n",
       "latitude             -0.221018      -0.201020   -0.022152          -0.245278  \n",
       "num_private          -0.020377      -0.004478    0.003818           0.026056  \n",
       "region_code           1.000000       0.678602    0.094088           0.031724  \n",
       "district_code         0.678602       1.000000    0.061831           0.048315  \n",
       "population            0.094088       0.061831    1.000000           0.260910  \n",
       "construction_year     0.031724       0.048315    0.260910           1.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correlation_matrix = train_X.corr()\n",
    "correlation_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5a678ba6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Correlation')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,8))\n",
    "r = sns.heatmap(correlation_matrix, cmap=\"Greens\")\n",
    "r.set_title(\"Correlation\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d3c2d960",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use(\"seaborn-whitegrid\")\n",
    "plt.rc(\"figure\", autolayout=True)\n",
    "plt.rc(\n",
    "    \"axes\",\n",
    "    labelweight=\"bold\",\n",
    "    labelsize=\"large\",\n",
    "    titleweight=\"bold\",\n",
    "    titlesize=14,\n",
    "    titlepad=10,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ff22c5de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>amount_tsh</th>\n",
       "      <th>date_recorded</th>\n",
       "      <th>funder</th>\n",
       "      <th>gps_height</th>\n",
       "      <th>installer</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>wpt_name</th>\n",
       "      <th>num_private</th>\n",
       "      <th>basin</th>\n",
       "      <th>subvillage</th>\n",
       "      <th>region</th>\n",
       "      <th>region_code</th>\n",
       "      <th>district_code</th>\n",
       "      <th>lga</th>\n",
       "      <th>ward</th>\n",
       "      <th>population</th>\n",
       "      <th>public_meeting</th>\n",
       "      <th>recorded_by</th>\n",
       "      <th>scheme_management</th>\n",
       "      <th>scheme_name</th>\n",
       "      <th>permit</th>\n",
       "      <th>construction_year</th>\n",
       "      <th>extraction_type</th>\n",
       "      <th>extraction_type_group</th>\n",
       "      <th>extraction_type_class</th>\n",
       "      <th>management</th>\n",
       "      <th>management_group</th>\n",
       "      <th>payment</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>water_quality</th>\n",
       "      <th>quality_group</th>\n",
       "      <th>quantity</th>\n",
       "      <th>quantity_group</th>\n",
       "      <th>source</th>\n",
       "      <th>source_type</th>\n",
       "      <th>source_class</th>\n",
       "      <th>waterpoint_type</th>\n",
       "      <th>waterpoint_type_group</th>\n",
       "      <th>status_group</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</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",
       "      <th></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",
       "      <th></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",
       "      <th></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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>69572</th>\n",
       "      <td>6000.0</td>\n",
       "      <td>2011-03-14</td>\n",
       "      <td>Roman</td>\n",
       "      <td>1390</td>\n",
       "      <td>Roman</td>\n",
       "      <td>34.938093</td>\n",
       "      <td>-9.856322</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Nyasa</td>\n",
       "      <td>Mnyusi B</td>\n",
       "      <td>Iringa</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>Ludewa</td>\n",
       "      <td>Mundindi</td>\n",
       "      <td>109</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>VWC</td>\n",
       "      <td>Roman</td>\n",
       "      <td>False</td>\n",
       "      <td>1999</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>vwc</td>\n",
       "      <td>user-group</td>\n",
       "      <td>pay annually</td>\n",
       "      <td>annually</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>spring</td>\n",
       "      <td>spring</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>functional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8776</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2013-03-06</td>\n",
       "      <td>Grumeti</td>\n",
       "      <td>1399</td>\n",
       "      <td>GRUMETI</td>\n",
       "      <td>34.698766</td>\n",
       "      <td>-2.147466</td>\n",
       "      <td>Zahanati</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Nyamara</td>\n",
       "      <td>Mara</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>Serengeti</td>\n",
       "      <td>Natta</td>\n",
       "      <td>280</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>Other</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>2010</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>wug</td>\n",
       "      <td>user-group</td>\n",
       "      <td>never pay</td>\n",
       "      <td>never pay</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>insufficient</td>\n",
       "      <td>insufficient</td>\n",
       "      <td>rainwater harvesting</td>\n",
       "      <td>rainwater harvesting</td>\n",
       "      <td>surface</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>functional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34310</th>\n",
       "      <td>25.0</td>\n",
       "      <td>2013-02-25</td>\n",
       "      <td>Lottery Club</td>\n",
       "      <td>686</td>\n",
       "      <td>World vision</td>\n",
       "      <td>37.460664</td>\n",
       "      <td>-3.821329</td>\n",
       "      <td>Kwa Mahundi</td>\n",
       "      <td>0</td>\n",
       "      <td>Pangani</td>\n",
       "      <td>Majengo</td>\n",
       "      <td>Manyara</td>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "      <td>Simanjiro</td>\n",
       "      <td>Ngorika</td>\n",
       "      <td>250</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>VWC</td>\n",
       "      <td>Nyumba ya mungu pipe scheme</td>\n",
       "      <td>True</td>\n",
       "      <td>2009</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>vwc</td>\n",
       "      <td>user-group</td>\n",
       "      <td>pay per bucket</td>\n",
       "      <td>per bucket</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>dam</td>\n",
       "      <td>dam</td>\n",
       "      <td>surface</td>\n",
       "      <td>communal standpipe multiple</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>functional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67743</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2013-01-28</td>\n",
       "      <td>Unicef</td>\n",
       "      <td>263</td>\n",
       "      <td>UNICEF</td>\n",
       "      <td>38.486161</td>\n",
       "      <td>-11.155298</td>\n",
       "      <td>Zahanati Ya Nanyumbu</td>\n",
       "      <td>0</td>\n",
       "      <td>Ruvuma / Southern Coast</td>\n",
       "      <td>Mahakamani</td>\n",
       "      <td>Mtwara</td>\n",
       "      <td>90</td>\n",
       "      <td>63</td>\n",
       "      <td>Nanyumbu</td>\n",
       "      <td>Nanyumbu</td>\n",
       "      <td>58</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>VWC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>1986</td>\n",
       "      <td>submersible</td>\n",
       "      <td>submersible</td>\n",
       "      <td>submersible</td>\n",
       "      <td>vwc</td>\n",
       "      <td>user-group</td>\n",
       "      <td>never pay</td>\n",
       "      <td>never pay</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>dry</td>\n",
       "      <td>dry</td>\n",
       "      <td>machine dbh</td>\n",
       "      <td>borehole</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>communal standpipe multiple</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>non functional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19728</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2011-07-13</td>\n",
       "      <td>Action In A</td>\n",
       "      <td>0</td>\n",
       "      <td>Artisan</td>\n",
       "      <td>31.130847</td>\n",
       "      <td>-1.825359</td>\n",
       "      <td>Shuleni</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Kyanyamisa</td>\n",
       "      <td>Kagera</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>Karagwe</td>\n",
       "      <td>Nyakasimbi</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>never pay</td>\n",
       "      <td>never pay</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>seasonal</td>\n",
       "      <td>seasonal</td>\n",
       "      <td>rainwater harvesting</td>\n",
       "      <td>rainwater harvesting</td>\n",
       "      <td>surface</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>functional</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",
       "      <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>60739</th>\n",
       "      <td>10.0</td>\n",
       "      <td>2013-05-03</td>\n",
       "      <td>Germany Republi</td>\n",
       "      <td>1210</td>\n",
       "      <td>CES</td>\n",
       "      <td>37.169807</td>\n",
       "      <td>-3.253847</td>\n",
       "      <td>Area Three Namba 27</td>\n",
       "      <td>0</td>\n",
       "      <td>Pangani</td>\n",
       "      <td>Kiduruni</td>\n",
       "      <td>Kilimanjaro</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>Hai</td>\n",
       "      <td>Masama Magharibi</td>\n",
       "      <td>125</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>Water Board</td>\n",
       "      <td>Losaa Kia water supply</td>\n",
       "      <td>True</td>\n",
       "      <td>1999</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>water board</td>\n",
       "      <td>user-group</td>\n",
       "      <td>pay per bucket</td>\n",
       "      <td>per bucket</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>spring</td>\n",
       "      <td>spring</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>functional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27263</th>\n",
       "      <td>4700.0</td>\n",
       "      <td>2011-05-07</td>\n",
       "      <td>Cefa-njombe</td>\n",
       "      <td>1212</td>\n",
       "      <td>Cefa</td>\n",
       "      <td>35.249991</td>\n",
       "      <td>-9.070629</td>\n",
       "      <td>Kwa Yahona Kuvala</td>\n",
       "      <td>0</td>\n",
       "      <td>Rufiji</td>\n",
       "      <td>Igumbilo</td>\n",
       "      <td>Iringa</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>Njombe</td>\n",
       "      <td>Ikondo</td>\n",
       "      <td>56</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>VWC</td>\n",
       "      <td>Ikondo electrical water sch</td>\n",
       "      <td>True</td>\n",
       "      <td>1996</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>vwc</td>\n",
       "      <td>user-group</td>\n",
       "      <td>pay annually</td>\n",
       "      <td>annually</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>river</td>\n",
       "      <td>river/lake</td>\n",
       "      <td>surface</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>functional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37057</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2011-04-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.017087</td>\n",
       "      <td>-8.750434</td>\n",
       "      <td>Mashine</td>\n",
       "      <td>0</td>\n",
       "      <td>Rufiji</td>\n",
       "      <td>Madungulu</td>\n",
       "      <td>Mbeya</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>Mbarali</td>\n",
       "      <td>Chimala</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>VWC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>swn 80</td>\n",
       "      <td>swn 80</td>\n",
       "      <td>handpump</td>\n",
       "      <td>vwc</td>\n",
       "      <td>user-group</td>\n",
       "      <td>pay monthly</td>\n",
       "      <td>monthly</td>\n",
       "      <td>fluoride</td>\n",
       "      <td>fluoride</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>machine dbh</td>\n",
       "      <td>borehole</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>functional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31282</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2011-03-08</td>\n",
       "      <td>Malec</td>\n",
       "      <td>0</td>\n",
       "      <td>Musa</td>\n",
       "      <td>35.861315</td>\n",
       "      <td>-6.378573</td>\n",
       "      <td>Mshoro</td>\n",
       "      <td>0</td>\n",
       "      <td>Rufiji</td>\n",
       "      <td>Mwinyi</td>\n",
       "      <td>Dodoma</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>Chamwino</td>\n",
       "      <td>Mvumi Makulu</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>VWC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>handpump</td>\n",
       "      <td>vwc</td>\n",
       "      <td>user-group</td>\n",
       "      <td>never pay</td>\n",
       "      <td>never pay</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>insufficient</td>\n",
       "      <td>insufficient</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>functional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26348</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2011-03-23</td>\n",
       "      <td>World Bank</td>\n",
       "      <td>191</td>\n",
       "      <td>World</td>\n",
       "      <td>38.104048</td>\n",
       "      <td>-6.747464</td>\n",
       "      <td>Kwa Mzee Lugawa</td>\n",
       "      <td>0</td>\n",
       "      <td>Wami / Ruvu</td>\n",
       "      <td>Kikatanyemba</td>\n",
       "      <td>Morogoro</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>Morogoro Rural</td>\n",
       "      <td>Ngerengere</td>\n",
       "      <td>150</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>VWC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>2002</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>handpump</td>\n",
       "      <td>vwc</td>\n",
       "      <td>user-group</td>\n",
       "      <td>pay when scheme fails</td>\n",
       "      <td>on failure</td>\n",
       "      <td>salty</td>\n",
       "      <td>salty</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>functional</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>59400 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       amount_tsh date_recorded           funder  gps_height     installer  \\\n",
       "id                                                                           \n",
       "69572      6000.0    2011-03-14            Roman        1390         Roman   \n",
       "8776          0.0    2013-03-06          Grumeti        1399       GRUMETI   \n",
       "34310        25.0    2013-02-25     Lottery Club         686  World vision   \n",
       "67743         0.0    2013-01-28           Unicef         263        UNICEF   \n",
       "19728         0.0    2011-07-13      Action In A           0       Artisan   \n",
       "...           ...           ...              ...         ...           ...   \n",
       "60739        10.0    2013-05-03  Germany Republi        1210           CES   \n",
       "27263      4700.0    2011-05-07      Cefa-njombe        1212          Cefa   \n",
       "37057         0.0    2011-04-11              NaN           0           NaN   \n",
       "31282         0.0    2011-03-08            Malec           0          Musa   \n",
       "26348         0.0    2011-03-23       World Bank         191         World   \n",
       "\n",
       "       longitude   latitude              wpt_name  num_private  \\\n",
       "id                                                               \n",
       "69572  34.938093  -9.856322                  none            0   \n",
       "8776   34.698766  -2.147466              Zahanati            0   \n",
       "34310  37.460664  -3.821329           Kwa Mahundi            0   \n",
       "67743  38.486161 -11.155298  Zahanati Ya Nanyumbu            0   \n",
       "19728  31.130847  -1.825359               Shuleni            0   \n",
       "...          ...        ...                   ...          ...   \n",
       "60739  37.169807  -3.253847   Area Three Namba 27            0   \n",
       "27263  35.249991  -9.070629     Kwa Yahona Kuvala            0   \n",
       "37057  34.017087  -8.750434               Mashine            0   \n",
       "31282  35.861315  -6.378573                Mshoro            0   \n",
       "26348  38.104048  -6.747464       Kwa Mzee Lugawa            0   \n",
       "\n",
       "                         basin    subvillage       region  region_code  \\\n",
       "id                                                                       \n",
       "69572               Lake Nyasa      Mnyusi B       Iringa           11   \n",
       "8776             Lake Victoria       Nyamara         Mara           20   \n",
       "34310                  Pangani       Majengo      Manyara           21   \n",
       "67743  Ruvuma / Southern Coast    Mahakamani       Mtwara           90   \n",
       "19728            Lake Victoria    Kyanyamisa       Kagera           18   \n",
       "...                        ...           ...          ...          ...   \n",
       "60739                  Pangani      Kiduruni  Kilimanjaro            3   \n",
       "27263                   Rufiji      Igumbilo       Iringa           11   \n",
       "37057                   Rufiji     Madungulu        Mbeya           12   \n",
       "31282                   Rufiji        Mwinyi       Dodoma            1   \n",
       "26348              Wami / Ruvu  Kikatanyemba     Morogoro            5   \n",
       "\n",
       "       district_code             lga              ward  population  \\\n",
       "id                                                                   \n",
       "69572              5          Ludewa          Mundindi         109   \n",
       "8776               2       Serengeti             Natta         280   \n",
       "34310              4       Simanjiro           Ngorika         250   \n",
       "67743             63        Nanyumbu          Nanyumbu          58   \n",
       "19728              1         Karagwe        Nyakasimbi           0   \n",
       "...              ...             ...               ...         ...   \n",
       "60739              5             Hai  Masama Magharibi         125   \n",
       "27263              4          Njombe            Ikondo          56   \n",
       "37057              7         Mbarali           Chimala           0   \n",
       "31282              4        Chamwino      Mvumi Makulu           0   \n",
       "26348              2  Morogoro Rural        Ngerengere         150   \n",
       "\n",
       "      public_meeting              recorded_by scheme_management  \\\n",
       "id                                                                \n",
       "69572           True  GeoData Consultants Ltd               VWC   \n",
       "8776             NaN  GeoData Consultants Ltd             Other   \n",
       "34310           True  GeoData Consultants Ltd               VWC   \n",
       "67743           True  GeoData Consultants Ltd               VWC   \n",
       "19728           True  GeoData Consultants Ltd               NaN   \n",
       "...              ...                      ...               ...   \n",
       "60739           True  GeoData Consultants Ltd       Water Board   \n",
       "27263           True  GeoData Consultants Ltd               VWC   \n",
       "37057           True  GeoData Consultants Ltd               VWC   \n",
       "31282           True  GeoData Consultants Ltd               VWC   \n",
       "26348           True  GeoData Consultants Ltd               VWC   \n",
       "\n",
       "                       scheme_name permit  construction_year extraction_type  \\\n",
       "id                                                                             \n",
       "69572                        Roman  False               1999         gravity   \n",
       "8776                           NaN   True               2010         gravity   \n",
       "34310  Nyumba ya mungu pipe scheme   True               2009         gravity   \n",
       "67743                          NaN   True               1986     submersible   \n",
       "19728                          NaN   True                  0         gravity   \n",
       "...                            ...    ...                ...             ...   \n",
       "60739       Losaa Kia water supply   True               1999         gravity   \n",
       "27263  Ikondo electrical water sch   True               1996         gravity   \n",
       "37057                          NaN  False                  0          swn 80   \n",
       "31282                          NaN   True                  0     nira/tanira   \n",
       "26348                          NaN   True               2002     nira/tanira   \n",
       "\n",
       "      extraction_type_group extraction_type_class   management  \\\n",
       "id                                                               \n",
       "69572               gravity               gravity          vwc   \n",
       "8776                gravity               gravity          wug   \n",
       "34310               gravity               gravity          vwc   \n",
       "67743           submersible           submersible          vwc   \n",
       "19728               gravity               gravity        other   \n",
       "...                     ...                   ...          ...   \n",
       "60739               gravity               gravity  water board   \n",
       "27263               gravity               gravity          vwc   \n",
       "37057                swn 80              handpump          vwc   \n",
       "31282           nira/tanira              handpump          vwc   \n",
       "26348           nira/tanira              handpump          vwc   \n",
       "\n",
       "      management_group                payment payment_type water_quality  \\\n",
       "id                                                                         \n",
       "69572       user-group           pay annually     annually          soft   \n",
       "8776        user-group              never pay    never pay          soft   \n",
       "34310       user-group         pay per bucket   per bucket          soft   \n",
       "67743       user-group              never pay    never pay          soft   \n",
       "19728            other              never pay    never pay          soft   \n",
       "...                ...                    ...          ...           ...   \n",
       "60739       user-group         pay per bucket   per bucket          soft   \n",
       "27263       user-group           pay annually     annually          soft   \n",
       "37057       user-group            pay monthly      monthly      fluoride   \n",
       "31282       user-group              never pay    never pay          soft   \n",
       "26348       user-group  pay when scheme fails   on failure         salty   \n",
       "\n",
       "      quality_group      quantity quantity_group                source  \\\n",
       "id                                                                       \n",
       "69572          good        enough         enough                spring   \n",
       "8776           good  insufficient   insufficient  rainwater harvesting   \n",
       "34310          good        enough         enough                   dam   \n",
       "67743          good           dry            dry           machine dbh   \n",
       "19728          good      seasonal       seasonal  rainwater harvesting   \n",
       "...             ...           ...            ...                   ...   \n",
       "60739          good        enough         enough                spring   \n",
       "27263          good        enough         enough                 river   \n",
       "37057      fluoride        enough         enough           machine dbh   \n",
       "31282          good  insufficient   insufficient          shallow well   \n",
       "26348         salty        enough         enough          shallow well   \n",
       "\n",
       "                source_type source_class              waterpoint_type  \\\n",
       "id                                                                      \n",
       "69572                spring  groundwater           communal standpipe   \n",
       "8776   rainwater harvesting      surface           communal standpipe   \n",
       "34310                   dam      surface  communal standpipe multiple   \n",
       "67743              borehole  groundwater  communal standpipe multiple   \n",
       "19728  rainwater harvesting      surface           communal standpipe   \n",
       "...                     ...          ...                          ...   \n",
       "60739                spring  groundwater           communal standpipe   \n",
       "27263            river/lake      surface           communal standpipe   \n",
       "37057              borehole  groundwater                    hand pump   \n",
       "31282          shallow well  groundwater                    hand pump   \n",
       "26348          shallow well  groundwater                    hand pump   \n",
       "\n",
       "      waterpoint_type_group    status_group  \n",
       "id                                           \n",
       "69572    communal standpipe      functional  \n",
       "8776     communal standpipe      functional  \n",
       "34310    communal standpipe      functional  \n",
       "67743    communal standpipe  non functional  \n",
       "19728    communal standpipe      functional  \n",
       "...                     ...             ...  \n",
       "60739    communal standpipe      functional  \n",
       "27263    communal standpipe      functional  \n",
       "37057             hand pump      functional  \n",
       "31282             hand pump      functional  \n",
       "26348             hand pump      functional  \n",
       "\n",
       "[59400 rows x 40 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_and_labels = train_X.copy()\n",
    "train_and_labels['status_group'] = train_Y['status_group']\n",
    "train_and_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "eed21941",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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KWt2c8LGbB49LZ562nWDRBchCfqTKZYTadlHZmtuvqkqLXQScg0zsgyMIgiAccj6vjw5NKo+ut/aGG4DSFjs7G7rxyP790muPz4d70LzwvJhpfwfVL1ui3W53428t6Q03IX08lRMeo9lv5PUzczkv084I+0ompWvJjTeyra67XxlfltqR7foI2dK7YNl9BOMGgbWZ248d0O+z0eL11EEnRnAEQRCEQ66hvROt30Ztp6vfvdpgHCPNSrJitIzPjiXGqCYUAr1KRpzeT51+NgMuHIssadj/rGdXcwvbat3saOhhbGIR44deRaSjkl0j7ueDnTa+2dGMx7+HVacrSPv+Cu4efh3bzUdTbDWwam97n7KGRwegvqH337JNr+Kb9yGDzQHUChlHDTKQn+bGoIGClP/3VyT8SiLgCIIgCIecLOQnunklJw8byyura/rcU6pUJDnLefKYeG5a1MneNjsAcUY1Y88axI81NpLHFaKX/feXElUdzby8vJmvd4Q3FFwgweOnXsL3u1pZ8k4pWTEGbj02jxdXVOLprAMgcetTJMpfIHvay3wTYaTZ6u2te05MI+ys61OHxeZBooFnz8lkg+UDZqecgjcUhd7rZ3ddC/kpccj+RzuFA0MEHEEQBOGQc3gl5DKJkUlqukak8PnWRiK0Ss4bl86eRisYGtjaquwNNwBtNg+fbGslLzESveZ/nyTe1CnvDTcAR+XFMX9zE5trugCosNh5aGEpfz8uH4vXR85PHwx4yVl+GR9Ne4odxgk4vTJSDJC7eA4UnATxgyHgBYUGTMlst5uIjXVxXOJl3L20nk01uxmWYuKaaRmsq7AwcaCYi3MwiBgpCIIgHHJmyUYofjAaex2FKRFcOjmLE4Ym8e76WrqdbiR9LLu6+v/J2tJgIynyf08s3tvajc3t73OtICmiN9z8xOMPIpdJPLtbhXPGQ6DYN3cmIpnUCBXOtnpu+XQnAZmK+mnPEPI6Yfn9sOpRWPEgMe466uwyouUx3PxFOSvL23F6A6yr6uTqj3ZjVvooaf7152QJv54YwREEQRAOuUSFFVtIi9FsRG0PsKGqky114fCxvTGIM6RgapqKT3b1fW5sZjRqWfDflLhfIBgi3bMXsxby4/WUtDoAGBijxqhWYPP0DT7+YIgLJ+UQ1Kpg5j2gjw8fpLnyQU7OPIodo88mTevG7GpHqli8/8GgH9WyfzL5+C+o6Q5S3e7oU67F7qGzqwuMYsLxwSBGcARBEIRDLyYX4/Y38Cl1fFzcwlXTspkzLIkIjYK8BCMtmizGxIe4bEIyCpmEJMEJhQnEG5Skad0Q/M8hx2upRmWtJ6ZuMV8fbWX3KZ18c6qB6crdXD09q89nJwyIJhgIMDO4AYOvGxqK4bOL4YfboPB0GuOmMiPHxMZWGWpXa//KehqIlHvQa5TIpP63I1wNxKt9bKzq+H9+YcL/cshHcGw2GzfffDN2ux2fz8ett97K8OHDD3WzBEEQhINJEwHTbmdkVz3njM9gY00nRWlmThyWhM3lxRkKYvVouWpIiNl5BdRaJZSeDvJ1jWiV2fQ07MGUNvjfFq3yW0GSQ3sZilUPowAGSxIcdScTImO5ZVYuTl8AlVxGbYeD4ZFOUJvosLnYa56NZ/yJZIfqaFIP5qJv3dg9e5AkGDEvjyxJ6nNuVSBrOn5NJGt39/DX8Um8sLap996ZhQayepZxR5WJRXutvHH+KMZmR//e3+yf1iEPOG+++SZjx47lggsuoKqqihtvvJHPP//8UDdLEARBONj0Mcj0Mag6m/lwUz16tZzkSB2nDTJQoKqiqa2RNe352CUv+WnxJPjdyNXR2FBRXOvl5JQAyP7NKeIKNfgcsOeL/ddCIVj3DAVFNvyqYWx0xmBQqJlaaKDQu4OmYDq3bFSztjb8minWkMvVR6Vh9+zpffzKZX4+mv0KEctuBWcHwfRJOKfdw+TnthMMwspLBjDOpKLOqSFJ7WJI2wKktOO5Nc/EeUMNfL2nRQSc39EhDzgXXHABKpUKgEAggFot3k0KgiD8mY3ONHP19AE8t6yC7fXdvDUjRHP5Xi4rHc7uVifgRJIsPHbqYMbbdlKujuSVYhszR/owaPsHHJfchMHW3L8iZyeeqDyGtq1jqFoL7ZWgGw8xA9nUGOoNNxCeP7N6bwdDU0xsbwhPEi5pc/OurQh5/tsMigJZZAqdnSqCwTrijGre3O1jQoSck/U7sVk7qUqczd+/V2LWtPLUZDg3N/b3+goFDnLAWbBgAW+//Xafaw888ABDhgzBYrFw88038/e///0/Pl9SUvK7tMvtdv9uZR9ORD+PLKKfR5Y/Qz9/TR+nJakZff4wgkiou5ezSz2c3a3u3vuhEDy9rJKBpw7jtg9KSIvS0tzSht/t6FeWLCKegYZEJJkifEDmPt7EUWwI5DC56S1kdWvDF/d8CSe/xN6O1H7llLZYGZ5q7g04AAa1AqfPiNcUTZRRQcu+NgZDIfyBEJ82mHjNNoxyi50up4/8eImzciXkBMhQdtPaVE1nj7tfXX8EB/O/2fz8/F/9zEENOHPnzmXu3Ln9rpeVlXHDDTdwyy23MHr06P/4/G/p4C9RUlLyu5V9OBH9PLKIfh5Z/gz9/K19dHvjsbVJQN8g0Gr1oFBrOGdcBqPTTeRkxv3b56vbrHijMlEe+wiy1Y+BtQlP8jg25N2Gwta4P9zoY6BwLvQ0MSxjBGzsu5x7Rl4cOxvD19QKGf+YkcKpvi/RKd3UxFyM3SdjVLaJnLha9rY5SDHr0CjlrNnbjt3j57gcHfdk7iam/gfYvI2QOYPYCdeiN6VhSPvPf/sOV4f7f7OH/BVVRUUF1157LU899RR5eXmHujmCIAjCYcarNpMV7UIm2Qjun8/LKUXJqAnw5OJy7pszmHH9j4ACIEKnoMGnICphPJ8XvEGk3MOKJjnffGfl/Rn7RnTMmTDifFj7NLi6KBph5fKJp/LKugYCwRATsyI5L7oETdFImjoMRGInuepVtiWcxleNenyrGxmZYWZYisRjJw2gySnH6fUzLjMCp9vFJ1vbeGBckMi9pRDwwaiLkRztSLu/wBAKYtXeQ0Tsf+iA8Jsc8oDz+OOP4/V6uf/++wEwGAy8+OKLh7hVgiAIwuHC0LkHjbqAF+fl8+jSWpp7PMwZnsSYzGjmb23lqLwYnl22l2MGJRDzb/aYiTbo0Lgi0drb6HDCPRv3v8baYI1mTPRAZENOg2X3QjAQfqb4Ka7Prebki+7A11FDmlSLIT6DRnsnRZWvIkVlsjbzMs75qIZQyAbAF9saeemcEWRF6RmabQagubWVS1MamJWahGnheWDbt6qqbj0MOR0cFkgaSqCjFkTAOaAOecARYUYQBEH4bzzubnKCO7Gqx3D51AFolHL2ttq45sNtSBK8ft5gbv/C/l/LCOjTwO/i9DwXVd1GFpbbUCtkKDVa/DPuQdVd1RtufqIq+5KMcVegyh8Mcg0bWgOc//4mPp93GWmKbl5bZ/vXFeL4AiFWlVt4u93OWWPSOSo/Hp9MRcLe+aRmT0GyNfVt1K5PYdaDsHcR/pxfdgq68Msd8oAjCIIgCP9V0nAUX1yONPppbvzC2udWKASS38MtswbSY+2htaKSoKsHY1w60Xo1RnczxAwgwhgPuiHEhnby+BQ/N4xJRKFUkeYqoUWRQ6QhQL+IoYtCrjJARCIAg5N8XDVtAI9t7ubO40fi8u/6+RP4gyFqO11c8f4WPrp0DL5ACFfeJeQ6ivv3S5JBzEC6W+sIRGUeoC9L+InYyVgQBEE4rNk9CqS840jX+0mI0PS5l2rWMiLCwfH+pWSUvcYgx4+YvY2s2tvO1QstvFgdQ0lTF3SFT/3WJRXiiEolLSGC1GA9gYgkutVJfNuVSvvQv+4vWCYndMzDyBP2T6I1aJRcPCGTyyZnUd/p5pyx6X3aIkkwJjOK2g4nwRC0WD28t74WmTkNT9IoQpF9P+8feQltAT1dwy8kQa87wN+aIEZwBEEQhMOaTxMNuz8nYdNrvDbtDR7YbmRTg53RGZE8M0OP8fNzkbprAbAPOIF7/FeyqLQTgBXl7SxKMfLUSZmkh6fFEGtOA2c3XpMPmVxFXsBC4kAzPa5LUObNQuftQBGRgF8Xj/JnGwfq1ArGZIU353N4/Lx8ThHvbqhDo5QxLTeOp5fu7f2shMTFg2VkLL4UJR4YewV0VhLsrqcmfiafdA3gGG02Q+rngyMbMiaCpSy8KWFUNkT2X6ou/HIi4AiCIAiHXFtbFaXdEATMOiUZKhemuIEAaKKS6Jr1HOZvLiKj8WNuO/4adF6JQNCBsasiHG5kcryDTqcq6yIWfWTpU/bWBhuNPV7UBie4u+jwyOiwOlDKlaSb1SQkZBElk4gCsJvA5wRTKkrZf3/J4fD46XR6STJpUCklXL5A75ycVLOWwmQT8Y0b2Fl4K5/UGekogXNzCxlq3M6jFbksLOth1GAfLL0bTnkdvrsFdnwQLsAQB2d9AklDD+j3/GciAo4gCIJwyHR3d9Phs9LmaWEgXZjaykCpwx4/GFuXFqM5lSi9isbEMTjmLsIWqiW2dgMtoVS6iUAeXUDS4LNYlXcHb6+vY2ZCLGDpV4/kd6HzWSizK/hmTwdmvQqr20fTJgt/mx4iM23faInhl+8uvHhPK7d/sX8ejiTBc2cOp8flY1hqJOlRWrY1Z3PGwia8gW4AfiiDF48bRm40/KhXEWeQh5eNO9thxwcExt+IffA8WiUZcq+fNLcTpUa8vvotRMARBEEQDonWlkZa/Erq3XvIcVhI+PLa3pVMWq2ZznnvgjkcPJLNOrq0cQT2bOeltjHssXg4Oj+BtzZYOGfsnfz13WJCIdCq5IzPjmZd5f7Tuock6kgzqWhzyfD44fT4JiJ7duHTm3FkDGNHswNthIOEyF++kqnH6eXdDbV9roVCUFzbxeXjE4mNNgGwpkWBN9D3pPPnt/k5a3Qaj5yqZdAP54bPynK0Yz/3B2oJ8kHFhyxpWEiSLpnLh1zHqMg8IqPEsQ6/lgg4giAIwkHn7LJQ57dRZdtBeiBAvN+Pe/bjKINB5Oueh65KNHUbIGNS7zMBX5AGWT5HFZhJbHWytrKdQUkRRKglZJJEIBRiaUkbF03IYFhqJFvruhiVbiI12sCyRg8TszVktawm6YeLek8A95syUB/3HrKAh5p2MGmVmPWq/9l+mQx06v7nXikVMrq8cn6KIz76fyaExMiMKCJ8nWwf/TDZ2x5BnjObYPUq3vI18H3d1wDs7SnnlrXX8NLUNxijDIAx4Td8039eIuAIgiAIB12DL8CCyjeZpE1g1NrXkPc0hG8o1PhOewNl+14UoRClzd3kJUYCoFboMUTG8f7mRj7e3AjA8jIL3+5s4eWzCvnLezsAeGNtDccPiub1OQmcMr+OorgOZsX3EOeOR/fjffzr5jWKnhoS7Ht4slxiiMnNcLOLgCkWdWQSxoiI/9h+o0bFReMz2Vq3tbc4g1rByHQzj/xQxovnjkQplzEyPRqVvLrPKM6FEzKIcOwmpnUr77YVMXDww0zxddCSMpLoJgWXZD9DKChDUjXzQdXTVNtqGaExoTAewB/gT0AEHEEQBOGg6/TVs6JhOdckn7A/3AD4Pcg2vQHBAMoRF9Dd0YYrykCr3UPA5yMQ8PLplr4b5tV0OHH59ocWSYKzsjzotr/N6zOOImr9g2hXrwXPpeDs4Od0rhZuHJSO7vMLwNYMGhPOY57Clj4Jo/k/vxoakmzi+TOHs6aiA61KzsgMMxWtNpy+ACHC7RmfHcVr5xXxxbZmelw+ji1MZENlB8EUE6e1l3BG1iBmf76bxRdl4w3FsnCtjdoOJwARGjPXn3AvGlmABdUKchydjMyI+n98638uIuAIgiAIh0AAvVKPxtE/cMi7ayFzCqx5gpQTP2ZzXRctPW7ijCriJDuhf90+eB+VLMS1YyJwBWBmvIOh7rVQtZx4pQ5F477DNCuWwKA5UPzW/gdlcmSE0DVvDIcbAHcPuq8uofvcpfBfAk5ajJ5Op5eR6WYChLjrq920Wj28eOYQVPLwqymZTIbX2UOrzU2kVsXfPt1BIBhiSamSMeddRayzmnsmaIhsXc/3ztHUduw/UNTq9vNjaQRDUrQ8snAnMQYVz505nLHZMb/62/4zEgFHEARBOOhiFAlkmbJoMefw8z/XrsLT0G59HykUpNvmoKbZyehYPz1eLRmhcuYOjuKjnft3NE4xqSmIlphV8VZ4hMY1GFxdIJMhr/9xf8GdVZA1ldCYy5F2f4bfkEjdsJuoD8UxJtqFJnMK1K6FoB+CfgLddeBIA/1/HjUZnGzCGwgx/8dahqZEcvbYdOKl/W1bX9FGj8vP2oq+Qc7q8uFGi0sVzZxtZ4NSS2Xqm/3Kr27zEQwoAWi3e1lf1SECzi8kdjIWBEEQDqqWbgfaoIoL866mVGekdda9YIgHpQ7H2CvwRyRCTz2hYWcTJ+vmzPIbyF0wjdHrL0ejlHGtcTn3TjEyMt3MFaMieH1GCLlChSv3VFAbYNt82PoeODvxZ0zpW/nmN7BHDOCF3Le4RX8fd+2OY5c7mju2R/Jw3EOsPmUT1pxTQJII6OJoaGv7r31RyGWMzoziqTOG88p5I5kyMJaQ39t7f3lZO3FGNWpF3z+3xxdEsarGib26GOyt0F3H+MzIfuVPGBDNlrqu3n9XtNlp7HL0+5zQnxjBEQRBEA4qmztAl13iuRXdTCuCxaYoYmb9A4u9idjILGatew3GXoE/bRIxi65F1rYLEobAwFlIxe+QFDOAc3deyNkx+Uh2CXfU39lql9EmpZNdcCZ6tQmZWg/6OJR+B6GsqUhVKwDwpk5kpb+AR9Z2Ea1Xcf74eHyBIAkmLYFgiJLOEAy7k8FJI7Hp0pG8Pb+9ox47Tm+AB5c18Mq8PJ5aUUdVp4eTCiI5aWg8571XwvHjwieREwqSZJC4bWYGT6+sx+sPclpREl5/kHb7/sCUn2iitNlGslkczvm/iIAjCIIgHFRuX4B2p5+JBQGe2/Von3tahZb8UdeRsuVD/DnHo2zbt5HeoDmw9J7w/++phREXgC6WptgJbHdFoZL8VHZr6IooYFyGC82iW3onFEtF59M+93N2trgp98ezotwHwLGDE9Ao5bywopJuZ/iaWiHjyXlDac45lfWd3zM2vui3d7T+R2bk5jJ/Uz2Xf1zGDVNTSIlUExkRwc1fluDwBqjTDSZRkkCmYHtFAxkpWbw+T4NZFUQj+fiyWiJCo+CqUUZmJ3Rj9+xBo80HxJLx/0W8ohIEQRAOqkAohFmnQqZw9rvn8ruw6mOQZ4zHqzSBet9Sbd+/fNZSBqseQ/b931hb1Y1SJidGr2RKqoxMqYUewwBCMXn7P1+xGLsxi08bInhoRQsz8+NRyiVMOiUWm7c33AB4/EG+2NpEg6eaAF6+r1tMY9ue39bRlp2MbnyLl88ayrC0SL4p7cGJmi+2tVCQFO7XnZtVlB31Jr7YwWQYfJS2Ojj7vVJe2GznlR0BvtjWwvsnR/OX6utJ/vpMchedS+rXZ2Jr2P3b2vQnIgKOIAiCcFCZdUo0aiVD4rPQyH92OrghDZd8AHWyZFzdzdhm3h2+IVf3KydgzmZvt4RGKcesCpBsNpAuaydGr4CcGTD1NphyCxTMoaYnyPgBsbw8L58cTQ/vnZ7OlOxI2u3ufuW2Wt0sqf+GZ7c+S0gK0emz/caOZqBf9yhHL57F62NaeG+6kxMcn5Edq2FQUgQpZi2lFjcnLNTwcvqTaOOyiVBL3DBjIOnROuZvrMPuCRDbsBhZe2lvsbLOvUi7v6Db5flt7fqTEK+oBEEQhIMqPUpPQ1c7rdYI7h75Cg32Bto9Dey1FjM3+zJsLh31uimkhHqIiVCy8/gHGaCMJCr/RBQlX4ULUaipHnsv7mYTHm+ArpCH9KR0yJ5GV0c70a27YdcnvXWqj5tDhkbFX79oY+Ux7cgrVnKh5SxmFKb0a9+xQ428WbcEgAVlC5iZPPW3dTRlJGROheoVaD87HzQmOPcLzorJprrdTlGKiS6rFaPkJDsxjiprkEhtiPwEDTvruwFINmuJ6ijuV7S+eT1lPR7cXj8JJjEf598RAUcQBEE4qAIh0KkVdDvtvLfBydZ6GWZdNtceNQtdyMBNn27vnVj7l5Fmji8awSNV73L6sGuJSD8DydVDMDKdgDmbsdogX+1o5uzCfdv8qg0E/Y2ECk9H2vNFeMk3kKdsw/zjo3w9+2+sduWQlRFH8TYHkqKNG48eyILNDXj8Ac4dm0qZ512c/vArMU/Ag0KmYEn1OnQKDQPMmcQZzL+so6YUOO01aC0Jv2KLycGtT6K4uZgl9UuQpCBj4qaQYspi4V4H931XSiAYQpLgtlkDmTMkliVlXTQNPIqMqsUgyegpPJXG+FyCUYP552fbyI41cdaYVIaniQ0Af04EHEEQBOGgau3sQkmIRXta2bpvpKLL6ePub0q4+4RBfVYNvba5i6mpMVxmmMXJ8zuwewBMQDfHDW6gy+ljfVUnpwwfidPjR6dWEGdQ0a7MRz/3A2Q1q7F7/LQGI9HFDyVty2M8pLqXGYOzidDsZXNtF2UtNmYOikcll5Edr+blzV/21j9nwByqbPWEgjo8fj/rmleSZxqGyx2BSi4jPUqPQav8z53Vx0LW/s0CN9X+yLWr/oo/FA5en1cu4JXxP/DID+UEguENDEMheOiHcuZfMIwvdlj4wpbPxQVnYkkbxO1tq9hV8Q4KmYK5Qy+mpGww6yv1qOQyBiVHHqBf6Mgg5uAIgiAIB1UAOQS9/Fjd2ed6KASyoJdhSbo+1xv9EVTZVdg9/j7XF+5u5ehB4dVEVoeL7XX7yovKxK8ysdgziBs653B8yQyOW2BluXkudfkXM2d4CgqlmksnZwFg8/j5bEsjbTYPLhdcU3AZmRGZnFdwHidmnUZTaxxPfiVx98deqmsH4PYGWFfZwa5GK6WtVoLBvqeF/ye+gI8f6n7oDTcARpUR/B6enSbjwxkuHp6mJ0qvIhgK72R8z4kFGGLTaBh/Jy+569jVFZ6L4w/6+aDiZSYMcrOn2Uq308eeps7/VPWfkhjBEQRBEA4qd1CO1R0gyaShqafvJN8MXyWvpa/l4cijWLAn/JpIodKgVsUBfc+gmpITS1aMniunZjNI30NZjw+IAyAh1I5BbcDtD9K8r4493nju2+pHrajl9uPy2Ntq56ajc3H7A6jkMkpbrIS6ajgdJ1bNP0iUy2hsV/Lg1+29dT69pBaFNJC8RAM/VnehVysobbFRkGT67522t2FxdjM0Lp94w6Wo5Wq+rvyaoshciprmo1rzCIRCjFUZKDzqFc5eoiTJJOfRpTXcOTMJtaqD1U1r+hXrCDaTEZ2BXCajpcdLXkIQmUyMXYAYwREEQRAOsnijmm31Vi6cmIlCJvVePzFXT37bt8RsfZbz09qRSXD1lDS+292ONjqFocn7T/e+Ymo2crnE+W9u4o21NSyr8TAixg+BfUu+ZXIaupzMGxaLXCZhVCtw+4M0dLmotNhp6nExNDWSp5aU89yyCp5YXM6exi5GhEowrXuA87MCbK+Ssb02vFJJkiBCq0AmwVfbm9ha18PoDDMfbarH4wv85876XLi3fkzP4tt5decLLKxcgcKdT8A6jL8Nf5BrkmagWv3w/hPOvXbyNv6dD8/KxOLvYNagODqCKr4vCZEbVdCv+AR9PH/NtDC69UOm+lbjayn5//9ARwgxgiMIgiAcVBE6FemxRh78oYInTs1H0VNDpOQgv/UjzCXzARjoL+f7YwYQrd3DyvjxeAMh/jp1AO12D50ODxabl6Ul4WMUXL4A96+wkJ6UyNHsC0zmdDod5SQG2llwbIhtLjN7bfuXVbdZPWyr7+L1eTlYLC3oJD+FwT2ktq2E9AnUNDYxM38ste02jhmcwKCkCCw2D9EGNaFgiB9rOlErZIzLjqbb5evXx5/YKn/E+M0V7DjpKbZXf8kQxQ288L2VG0/q4eZ11/JW6hyif/aMrLuGGKUVRcjEHlWIaz/YhUyCO0+7gL1dpVi94bOupqfMZIZOgeGTcyD/BLDWo6pdR3foCiKTcw7cD/YHJQKOIAiCcNClRWsZnxXFR5vqeEX3Cvqq7/rcVymVeJVGLi82srF2B4OTIzi1KIWXVlRyz0mDmL+x/0Z3m+ptzEiTkEWmgCSRlxjBW2taeCvmK4qql7F46ud8sCn8WbVSztXTc9B7LEzZ/hf82bMIJg0nVNMOKgMDYrRctaaaa49OY3erm8cXlffWc8zgBCLUcjz+IN0uH0PlEf3a8pNgVx0rpn5KPVamxp/OM191cfYEE+9U3IHdZ6dD03+Jtz8mD4c8FndAxQvLt4XLCcFjXzk5Z9IjZCU5iVAZGKk3EL34Dhh/NRS/Ce4epMGnYXA1EPKnIylUv+GXOXKIV1SCIAjCQTcoJZoLJ6RxydRcXONvAEPc/ptZ07BpU7h0pZqNteHRil2NVp5bVsHxQ5P4cFM9A+ON/cqM1qsJ9eyfpxNnVDI+N5mPjOfhG389RcYe7jo6hcKkCIwaBVvru5k7v4adR3+ILWE0qu+uQ2osRqpeSeTnZ3NLoYMer5/Ptzb2qef7XS2cXJRCKBRCKZORHKn5eVN67daP4cLv7KQaU4lVJuAPhjAZvFhcFgBeal5J89SbQbFvI0NjIt0znmCjbTcuyYMvEH51NSknhtlDEnlvtZ2GxnQue60TvcsGWVNh2b3Q0wAeGxS/iaxuPd0OsQmgGMERBEEQDjqZJCM/KYr8JNjeoOD7wjcZpm0jI1KJsrOckmAKTT19dxDucHjRqeSsKLfw/FlFbKvrxrZvZdXQFBMD4nTIJUvv5zOijaza28lOu5F22VFcrdnAEE0yitEDiNAoeWVzPQ5vgKaAiUHbXu3bwFCQrO517JLn9U6P+Vd7mq18tb2Zf55QgFYp/7d9bO9uZE1j+PVVlFdPvq+EjOg4um1q4nRxtDnb2NpVyqU+B5fN/BtjTIV0KhJ4suoVmhwN3Fl4G6vOUNGhSmFpXZCKdhf/PCGfGL0anUpOhT+OQbZWpLQxMOJikMnBa0e26Q30g06BiNzw5KE/KRFwBEEQhEMq1hDEnGrmyR8V7G52cMW4maSb45BJxQR/Fi4UchkGlQK728d9Jw/G6vLR5fQxOiOSoLMborJ6PxtlUDMjP5b6TjfyoJdgSyX1Ugovba3irhMKkEsSKrkMpUwCVd+l6QD2kJqSZiu58UbKWveHrUSThh6Xn8ZuF9d9uI35l4wmPrL/qyaFpECjlgiFIMm1l5jF1/DC9Dd4skzNecNv45XSO7F6rTQ4m3EqtXzmquK5HTdSGFXEA7l3k7f5Ceqjx3PBjyEs4Q2A+Gp7MzfMyOEfs/NpC2goSBuHlDICVj4E7XvBmEDo6PsJepzgdoDWcGB+pD8g8YpKEARBOKSSImLoCZUwbuhOFp+hZ15kCdHWUi4an97nc3NHpPBjZTv3zhnEZ1sauePLXdz51W4MigBx2hCtXhUhfWyfZ+IjtLyzvobmHheKhEEMTVDi8QXR+rt58xgVC0/XM0zVgCxvdt/RDqWOcsNo5m+s58RhSRw7OIE4o5rpeXFcOCGTDzfWAeEJzo1d/c+zcnj8lHcqmJSdwJXTstF6LBDwUrDkXJ7Sv8UoVSyPjniWxye8yEvT3mNm+imU9+wFYFr82WT461CUfsEeWU5vuPnJa2uqqWizc+83e2g0DIald4fDDYCtBenLK1CEfPiD3p83609FjOAIgiAIh5ZMxqjYSSQ2rMLw8ekw9koGR3hITbMzIKaAFoef5EgtMdoQmS2biYvWkj0rg6YeH0GZkg821vHJtjb+OiWb6tZOMvU+WgNG3B43QeTMG5nCMEUtoZJvyWgvZd3c+1A4NiJt+IKoYJCQOR3qNsCMe8BSAkodgYShvLXDQCDYwaM/lDEoKYJnzhzKE4v28sB3fZdia5R9xwqUKg0fb6ohNcrI8ysq2NNk5aQTExgIgERZ6jzm74G0KCPegJ44g4qIFImi+CIW1S5iTGw2jvoVGIBAqP8rJl8ghFwmo7rDyW6Lj9TuOkgeAdrIcD+8DkK2Frym7D/1H/k/c98FQRCEw4TeacWw5WU49tHwiIS1EVPaeE6ecjv5r/VgVCv5/mQ5id5yAlu2YRx3OyF/A22OKuaO0xMVTOTFtVXEHRtHtbOTKEUGq8t62FTbzZ3jlGQsvRYGzoS0MShCfqSFfwufDxWVhaSPAUspLL4DTKngdxNsr8LhubG3fREaBTUWJ6OzotlY09V7/ezRaejVfefg2CQNWbFyrv1oG93O8Byc+4rVPD7hbvRtm9nuz2BUuppOp4+tdd28uLeNh04ppDBtMLePuR2zSoNNn048kC+rw6hO6J1rNCM/jpkF8XQ7fdx2bB4OlPhPehlF/VqIK4CCORDw49UmoPH3ADG/90932BIBRxAEQTjkAm4rjL0cfvgHFJwAKgNULkO1/C7eOO1Jxigq0ay6F2Ry5ANns717Df/YcHfv80VxRfz95Juo7q5E8mdw++K97GkOz5tRDwnQOO0JdncEcTokjlHUofGFd0mmswpGXgS7PoVQEHrqw5eHzWNUh0SEPpKcRBiRGkdJo5flpeHDOT3+IGqFDKfHj17VN+ColQq6u9294QZgVa2L6xWjuGXmWTTubmfjjlaGpEQyYUA0E3OieWJxOU/MjSRJk0WLW8E6SyxzJz9CevMP3HPigywv7yRKr8Tq8vO3T3f2lvvwKYWUaQcRk51E/FfngKcHVAZUJ7+KpOr7iu/PRgQcQRAE4ZDy+oNojFGEOqqRis6Fja+Axwr5JyEZE5hsasez7EXWFz3BMouRaLmWCHcLF2eewExlHEafm1atAb+lhOktldizUrl9qJPQ4CCruyLxRZq5/OtWyizhuTLfz1KQ968NKH4TZj1IoGYtAZ+HnsJz+NhVz8fNT5ASkcLOtiaU2luwOXIBevfEidareGreUCT2v0YKBgJkdKyiVRrMrBwjE5MkNrXB8io7tx07iOs+3s7eNjsAOxp6GJFuJi/ByOSBcbgDkaSbzOxt6eGTHR2oRx/F1AmzufOt3RQmR3DSsCQufntzn+/u/u9K+PLMRKxWD7bj3mfAt/PAa0f59VV4L/geVUTC7/fDHeZEwBEEQRAOrc692Lp7iJErYeXD+6/v/gxGXIik1LFs8CNc+VUDEA4HZp2St06Zx6BPJgOQBriOfQjttreRVS4lY8LdJH9yPKNTJ7Cw/YHecAOw0ZVMTmQG8u6a8IWOShrtIW6zX4Xd62PbRz1cOn0EOsUC9naHJ++qpUieXlvD3JEpHF0Qj0YpIzfFS4QyRHLE/tPEXS2l6Bdex/iTXmaC/BVUm1ZzeuJIGi5+ncoeN7MGJ3CCXEalxc6X25ooru1i4oAYInVK3ljTzJNHu9CoIrl0UhY2tx+1QmLVqRJKRwmLHYn9vjqr24+7fiv5a67BM+ISuiffTeSSm8DZAc4/9+GbIuAIgiAIh5Tb4+CbJh2Xykrpt2Ve+fe4h13ME+s7+lz2+oO0SvFsmDqfiFAP2eVvoF3+IAw/B/X652nvthGZdRz6xjW0pfedqHvPGgdRM5/lGG0Jio69tKcfx0pbOkPS/CjlMty+EF9scjBz4rF8Uf0eFxZcyrZSNeBiweYG5DKJN8/KY2XrZ1yafy1RJgOhUIittZ2YWqrIHnwq6sW3QVcNACpDDCtqvdz77fbeNkzOieGYwQl8v6sFmQRpUTp+rO6gxp3CNR9up8fl47whOvT+bUTueBlUOlJmzUAll+EN7D+9fFCCjsSuYgDUxa8SOOXd8A19LJI26kD8PH9YIuAIgiAIh1SdQsmSsm6Oz48l62f3AlEDcKqicXrbeq8p5RI3zcrl75/vpN0OMsnENWPu5GL1sxiV4f1serwhrDFD0Vd+Q2Fi371g/MEQJV0yZiekEUoewYrWOO78Zhe+QAhJgr9MzKK63U5R1FEkKEaxfoeCm6ZlMSu9GYc3SEFKJJ+3vMJZ+WcTbw7vqLyzsYczX9vIk9P0ZBtie8MNQPHIR3n83R192rBqbzvXzxyILxAk1qDCYnXxzLzhvLmxiR6XjwiNgkviSojb9gId2aei9PWQv+tR7j3pJp5ZVkljt4uRKXruHW4lcun7veWqvJ2gMRE6/kmUij/3n3ixD44gCIJwyHj9fix2FWPSjKx2Z+GN/pcTsxUausfejFxr4KzRab2Xjy5I4KNN9bTbw/u8BEPw1AYrNUNvBGMivlmP0q5IJKp5DQCDFA08eXQkMQYVSrnEecNMnKndgGRroGHvdu75pqT3SIRQCF5bU8XJw5O5/eN2Hv3KRWtPiHc2tdDpChKlDrK6zsUxqRdhtu0fSVld3o7HH+SJrUGcscNA2vfnVaGmzRXC6e1/4nhShIaThiaRr7cRrVcQBCotDgCmZenR+my8UfAmx5fOZG7D6ayNPp1xmhruOj6XJZfm82bmMvKXXgBBf2+Zsogkus/8Bg8qMMb1q/PP5M8d7wRBEIRDqqTJyu2fNPDknCzu/qETZ9ZDTBrUTKTShzKhAK8mhvY2G+Oyo7gmOIDFe1oZkxXFtzub+5Rz81g9uXUfwva3UcrVnDjuWhQaLZ6BJ7LdFsFJvgVMGKbGq44ivuIjlBVlMOlmOmNmYHX3PWsqFIK6TidObwCVXMYtswaQYS0mq/h+5D112HJPY3vHeWxWxHHivmeC+85zqGj3cEuxicfGXodmw5P05M5Fo5Bzx/H5LNjcQGlLeGWXVinHHwySoZdItmyjSTuZBquHcdnRlLbYcAdlLFQexaq6IGeOjscbCFLik4iSfJi9TQz4/myYeB2YM6CjElQGQkffx5uNSaREGRilc6FR/Xl3MQYRcARBEIRDxNLZiScQ4vJp2TS65Fw1PZdOm4tWUxY6VTemyi+IGHEuPSE1lW12BiWZSI/SEaFRUJBo7F0GHq1XcbJ6M6of3wgXHHSiWPUgrlPe4TtvES5fkIycs0gqfxfZ7o/De93MeRFKviJOFkOsMQWLbf9uwUq5RG68kduPyyMrTktusIaUxRf2jpQYd73DGDy8HnktPd2dmCKjmDQwhmeW7cUXCPFNSQ8JhlnMPu+v3P99BZvfKUYhkzhnbDqpZi31XS7mjUrlsUXlPHJMPPbEEQTaeqjrlIjSKZkzLAl/MEiJVYlW5eOJxeFVWyq5jLRTCymSW8DeCovvhMLTYNDJEPDRokwBhRaNWk23Np0/9wwc8YpKEARBOAR8Lhu2rnb+tmAbK8osLNzVyhXzt/KPr0u5+L0drG1RsN58IhiTyIhUYNSoaLU6CAFf72jm6uk5xBrCJ3BPSNeSVPN5vzr8e5fxzPIK/vHFLm5a0sO69Msh+yiQK6F1N6iNJG5/geemyXvLMqgVPHliBivK27j/u1IufmsremtVn9dAAMo9n3BBjguZvQqAIcmRfHjpWE4tSmZGfhyzRgzg/c0tbK7tDrclGOKtdTUclR9PdqyBB74rocPhpc6n5twNl1Av7eXLbU1MTNdSEKvgzNFpDIw3snBXS2+d3kCQxxeXExlhArURAl7YNh9WPQbrnqXKpiA1Ss+aig4kdf+zsf5sxAiOIAiCcPDVbaCiM4qhmVpmDkykvM1JboKRQCDEx5vreXBJLW9eMBKtRgUaFQkRQTZUd7K6vI47TsoiUa/gyxNl1HvjiA20EqoZgNS6q08V3YYsOvfN09lQ1UlRmhlz5oXEmbcSGRmJ0mMFuYYxK8/jy+FX0KZOxxzoxBaCamMWRo0Cm9tPq0eF+adC5Uoc2cfjiRyAqXkLeyKn46lsZ0iyiRHpUYxIj6K23UZ1h4uV5RZ+bk+zlVXllt45Px55DVavlY+qnuaWEx/k/c0t3DvKjTfooVLWfxfihi4XDf40TJNuhOUPhEOOJKNt4r08sQ1kimounphBMBikpKWR/ITkA/mr/aGIgCMIgiAcdPUBD2XKYs4ZHM/2jgReWFGBLxDCoFZw3Ywcnlm2t89J4nmJJk4IwfDUSGotPuJ1chI6NpDktcP65+Ho+6B6Bbi7AQias9gsH8Y1R6WQaNLiCwSxefystMh5dlkCpw+N5pT8HDKHjkKLRNKWJ0jSmOic+E/aowvIMSi57qgcjFolFrWXgckjCTo62TDqKR7fAi21fs4ZrCFX5eeSBT9y5wkFnDsmHblcRrfLTygEeQnGPq++AJIjtTi8fibnxHD2uGRkyg5GJ4xhY8uPPLH7Sp6a/CIeSyeutEEk+vqOGgEUpUWiC7pg8xsw6QZAoi5qHKU9Kp4cuAWdowFVaDKqYBo7/DJABBxBEARBOCj8fh8f9ezCFHCBdgr3fVvCvjm62D1+XlpZyaWTsjFpFVhaaolNSEetlFOUHkXRvtMHWmvLkK17BibdFH5ds+YpOP5JcHUSkquxRQwgwpfFul0tPLO0grgIDeeOTWNquoqTZ7URv+dRvFuisU+6ka9SR6GJTaTdZyOg8mFsD3DnVzt62zQpJ4aMY16no6ub8z9sIrAveT261s0lEyNJjtTy0MJSBieZGJkRhUkjx2LzMGtQAnuarHQ4wqNI47KikSR4et4wFpW08td3t6OSy/jL5KspGjyBt0tfpN3bhD95NLaudp5ZauH6mQN5bVUVNo+f/EQjNx6dS72lgkxJhr+9mvXxZ1LVIOPs8itQdIdfl7H9BUKzHiAxe/pB/FUPPyLgCIIgCAdVW3c1n1Qs4PkBZ1HrVPUGiZ+0270MSoqgtt1Ji0LB9H9z2oBOCQR8sO5ZmHgDmFLg+1vB3ooEmJRaco7/kIuLw8uubRY7Ty4uZ+2xrRiWXA2ABtieN4WH97zUW+5Do9/nroUVfdq0em87O0am0N1Jb7j5ySdbGjl+SBLvbqiloctJj8tHhspOYkQ0Vref88anE2fU0GZ1U9Zq4621NUzPi+Pr7eFVYB5/kOeXNfD4GRO5ZpgSoywKtzdIWZuLnU1W2uwezhidhkYpo9XmZn1lO8dmx1E88RW+qlWRiokJuh/3h5t9pJWPEJcx+Tf9PkcKMclYEARBOKjkkoRBZcAvkxOpkSHru9EwsQY1aoWMV9dUo1Wr/20ZxrgsgkXnh19JrX0amreHVxb9xOciZscrjEo19l46NkePYdOz+z8jU1AVcPYpVwqpsdj7vlZKMWvQ6Z0ojZH92hGpU2F1+4gzqtla30NZqw273IRaIZEdp2dgnAF/IMiTS/by3c4WhqeZWVfZ0a+cLTU95JlGkWJMxy3XI1dpAWi1enh1dRXPLqtgZZmF4XEy1G3bOHVBO1ubHBTEqUmLkPcrD58DCQmHx9f/3p+ECDiCIAjCQWVUx3PuwCtZ4W5BH9HCDcckopLL9t1TcOPRA1m0uxW3L4hW+W/+eAMolLgKz4axV0DqGEL75t78K529lkTj/j9zrkCIoFIP+lgY9RcYfSnpmv0TeXMic9DqOpkwwNR77dRRERw7cQ93bL6QLraQHNk3cM0blUpJcw+3HpvHJ5vrmf9jHc4AnPnaJu78bDu5kRJZMXrkMolpuXFMGBBDTnz//WlSozRIPjNBl5puaw/Z8abelV0/uX5KCpM2X0W8OZIXzx7OpAExDLBvwRWZA6q+q6YcQy7ApohC21Pz77+/PwHxikoQBEE4qKq6/KSpxpObPoArVv2FBF0yV55wLkG/jtRILcoAvLW+hvvnDEYh/ecRiFZ5Muk9zcglGcHUcci3vtfnvrPwHLauC7/uqml3UN4ZwnPMP9A2rYfit8DvZcyoi/nnoEt4au9HzMs7g2tWXspVw+5FJoumpMlNUnI5b5W9AsBLJfdy3tSbMAVG0tjlZ3CSCYPexVVHm6lvc+P0BVC4/agVMmweH8/MNGHxgj8U4rXzivikuJG/f76Tf8zOZ0NVJz2ucN8GxmtJjdLi8QW57OM9tNu96FRynj69kJq2bhosXUxPcDOi7O8o4vOQm2IZXPodselT0TicXLHMzfVT3iav6g303eW0ZM2lIXU2WgdEBRohLud3+y0PZyLgCIIgCAdVyO9ldWkrsSkV+II+6u01vFZ2LwAKScE1A1/j0dOGMChRT0Hyf96uLsJkwjruFjwN26hUjSZ18hOkbX0EfC56hv0VX+IYvhu7AU3Tj7hHTWGHajhBd3V435h95GueZM4xjyANfIcdbR8D8NzuOxiVNIF/jD+NN0q+7P2sP+jnjbKHmJt1IctKhvP6mhoumR5JrMlDS48co0bBOWPT8Hk8nDAkCU/AQ0iuRulz0u2T8e3O8J42Ty3Zy/njM9AoZWRE6/AEnBgDAe7+trT3+AmnN8Al723jm0uGMDirGyy1kDsFe8QA7lrp5tFcFak772XHiPtZU7GdNRUwLv2vpEfJWbbNzVlqNSdGQcjZw8/eAP5piIAjCIIgHFRej5N3N7Vwc0r/+TUmtYmcKA2BgPy/hhuAGKOWckcK25QGdlZY+WZHKucWvsZxBbF0uqFoydVomjcCoCz9gtEFc5AlFPYrR7nzQ9YZhmNK0fZe29S6FknyEauNpdpa3efzWkVk7/Lv9h4FPq+KRJOGyydnc9KwJDq7ezh9RApf7rUwM72dVq+Bmo79c33sHj/PL68AYP4lY4isX4MyqZCyVkfvZ2QS3DlRT7plKfTsJRSVjT9tIsfO7+L0UZGsYxj6omm8W9xOfoKBkhY762vtrN/3fG6cDrvLh9+Yhs/lRK/V/dfv8kgk5uAIgiAIB02n3YnLYQXA0hFDZkTf1yc3Dr6EF1ZYidKrflF5OfFGvtzehFmvpMvp4+ViOyVOAwMVzb3h5ifKPV8Qiun/usZmyKLM4iJBWYRWsT/kbGnbwvkF56KQ7R8LiNHEofIOxLHv8MwRabHYnQqOTYeR8SGSzDqCoRCtVidJuiANXgPlrXZsbh+3HpvHgLj982+Gp0ZiUisokDcQqQoxIHZ/CPnHBANnVd6C8ftrYf1zSN9ej6JlKw/PGcycYclkZmTx5qZ2vt7ezLxRaZi0yt5nL5mYRoraiUmr4M5NMtrttl/0XR5pxAiOIAiCcNCoOivI0HmIMah4Z3UPF0+9gZlJzXhCXUxIyEVui+DayVGkmrX/uzBAkiQyo3U4PAHyEwzYPAGCQWi3uui/DzDIgn5IKoKmLfsapKcs7Qx2b7fTuEjJX2c+RmdwFzqljymxBVg8Dq4dfi2ugIsodQwR5HDzB60Y1Aoum5yFQlJwwpAEktdfT8yIS6nrSCICB12dDnLSk7n8/a10OX372gr/mJ3PQwtLyYkzcu+sZOS+bkJuG9aAhr8fncUNn5fR7fQxQd+IsrOsb19XP8HYs8Yhi0qguctJfZcTbyDIE4vLOWN0GlqljNRINcfVPoLPfzLVoaEUJkei/Q/ztI90IuAIgiAIB43eVo2hZTtvzprCA5uUvL3KxvisVM4dOwF7WweDzT6iFM2ojem/qLzWHhfZcUaeWbqXO44bCJJEcV0X5oQY8mILwLJn/4czJiLb8xU9xzxEnTuGve0etEqJOJMepXwX3U4fD33pY1DiYF6dKWdd2wbuLn0LAJkkIxgKcvPQxzlvXDqDkiK4/9sSPP4gc4YnEznsn/jRYG93EEMQv1zLjkZrb7iB8CnlX25r4v45g8nXdDF4/gjspy/AVXAGiaYYrJ1B3juvkC6bgwz32v6ddbZDKAiAWgazCxPZUteN1e3nlVXhfXBemaVFV/Y5lmEXE6FWkBwpIy4q/rf9WH9wIuAIgiAIB4+tGdY8SeFoJ88cfTpL2tP4Zlcbf3lvK6EQXDQyhovHJvziAwbcPh/dDi+3HJOHSqkgUqdkbUUVNa1ypk6/HVnFEmjdBclFIFfBhhfZU3g35723p/c8qKxoDZ9eOJgX11vITzQwPcdMd6CHjyo39NYT3BcsdndvIF2dxUsrq1DKZdw+O48uhw9LSMGiXR1MHqjhui9qUcgkzhyT1q+9VpePArWFgkXnQdCPomop7UMuJcVgYvi/rB4PVdSBTNHnkM/QsLPxR6ShAqJMOkakm7lyajZvr69FKZe4cbSOMU1v4D32CSSvDW9Azvj06F/9Ex0pDpuAU1lZyemnn866detQ/4eNnQRBEIQ/OGNieBTixxepT5jLbV+U9Ln9ZnE7Jw9P/MUBp93u49OtjTR0uQCYMjCGcZlmPtjcSMdkE7G1a8N17voMHBbsY2/g8eX1veEGoKrDTUWbjTSzgnc21JGsDzLE5CBWk0gppX3qy45MQuWQc8LQJOKMKj7f2oTbF2RiTgx+f5BWq6d31GZgvBFJos+uyBcPVTN44ang6gJAbowl5O+/FN4WU4hx7jtIqx+FngYonEtw8FxU+v179AxJiSQ7RslZGVYUXivxPRtBlQVrn6Bj0lNo5X78cgPKfqX/ORwWk4ztdjsPP/wwKtUvm1QmCIIg/DH5E0cQGnomAO5A/wXMoRC4/L9sYXNLj4vvdrb0hhsAmc/BOYUasqO1zPnKR8fUhwh5HOC14ys4mbqsM6nv9vQry2L3srKim3a7l398V4vC2c7FGUejku3/u2RWm5lmyiRCLSGTYFdNC49MlPHMNAVtnV0MTomkpWd/W77a2sjT84YxPDWSrBg9983O4tjuj3rDDbootipH4Nb2nW/katiB6scXCG55F8/EW/DPfZ+AyoS87Bto3AIeJ3iclDRb+WD5DpK/PpP4z07FZqlnk+loNo99GjU+Olz+/7xR4p/AIR/BCYVC3HHHHdxwww1cccUVh7o5giAIwu/EpNcgK/kcyd0DJ79CmslAkklNU8/+wDEoUU9MZMQvKs9i87Czydr7b4VM4ra8NgauvJdvZ1yBGxWukAn7rMdp92t5dkM3VYvamDc0mmdWN/Upa3CSkQeXha+5fAF65LEUfXUu7028khIpgEqSMSgyh0xVNCtsLk7IDKEztRKx/ElwtHPHmL9SaxrNGkUUkgR6lYJLc3oo3PEIY4afQihxCD0dzZTGzybDlElApmGHlMvfvnPwwrlBcn6aJtNZhfbDU8HeBoB878LwrstVy0FtAq0Zlt4NSBSMuJCu+DQoVVJ+7Ec8uMfM8gUWAMZnR3HdDDkORw/6fxn1+TORQqGfH3P2+1mwYAFvv/12n2tJSUkcd9xxzJkzh+nTp7Nw4cJ/+4qquLgYne73WcfvdrvRaDS/S9mHE9HPI4vo55Hlz9DPbFU7qvdO6H1n033G11TIs3l7QwMb621Mzo7knNGpaH09BAKB/1meXR3LxtouHv2hHIBR6ZF8mLkQud8R3qk4FARTCv6j7mLOigTOHJ3KusoOTso38mNND+9taSdSp+Tv05NBknHt5+G9aRJNGr6YaiH+h8vCFcnk4bJSRkHRRWw0zeSjH6vY1uTk1Fw1M5J90FFBfFouxb5sHL4AMms9szecCc7OcBlqI8UnLuLUd6vRKGUMSjKSFWNkQ1UHD5yST4y/G4As7x7Un1/Ut6NKLYy+DHTRsPiOPrdCZ36Ex+3knZ7BPPDd3j73bpiZwzkFAeSqSJraun/5D/ULHcz/ZvPz83/1Mwd1BGfu3LnMnTu3z7WZM2fy6aef8umnn2KxWLjooot4//33/+3zv6WDv0RJScnvVvbhRPTzyCL6eWQ54vvZ00aotR4m3QRyJVjKiFxwCsOPfx7dtJlcFIRIFWRGqUH1y1b9NHc7abZ6OGFIIt/ubMYTCCGLzoRvb/iXehuQb3qdkUl309TWwQmF8TTbfEzITeKYglgkoMouw+ryoZBJpJg1PDFZRpz1X+YGBfeFrags6lxKLv9mKx0OLylmLXJjHGd/W43FHs/QJD93HBeiUN2KTO2DwP4JwnhsJHjLmJ6byHGFySwtaWNLXRezCxPRq9RkpuegUSnw7uy7NBwIB0J9LFQu63fLV/sjbUXXsm5LSb97q/e2M2tYFGZPF6np8Rh0B3bC8eH+3+whf0W1ePHi3v8/ffp03njjjUPYGkEQBOF30bQR6csr4diHwecMj0aMuQy5w0KuayuOiGwi4jN+VZGJkTqMaivzRqVyXGECmToPOJph8k2g0MD2D6CjEqlhA/npfqJi47hmwS5cvgAxBhW3HpPHM8sqqOt0MjQlgvkXFJLt3Uv0l2fAhGvBlAo99eHK9LG4Bs1je08KHY7wSMnckak8+kMZ/mB4RGp7k51/fruX2YUJRKl0TJn7NUnNS/EodVTGpNHg6uTy6Un85a2S3nOoKi1V1HY5ueGoHDJiDWCIA30MONr3d3TYOeCxQ95siEyDXZ+Cx0pT0Y081z2LYfV15CQFWfGzbDQy3UxTpxx/RACVxUXOL1t5f8Q45AFHEARBOMK1lRNafh/S8U/C7s/AboHoLKhaCSVfIQeMiUNxH/MEmvSRv6rokRnR1NTXM8TkwLDlRaRt+94ASDI46p+w7lm85mxcymju+6Ealy88GnPm6DTu+HJ377+3N1j525cVvH92Dkz5G3gdMPW28OshSykEvEhuK3X2/ROgfYFgb7j5yZ5mG9Pz47ltUSXXTErm0qyhdEhuvmhYwYK6JVyQmdIbbn7yw64WzhyVRrS7lqiPz4bxV0FnNXTXERwwExKHIi2/D6n+R4hIgim3wPaPWKyYyvwt7Sh0ZmJiaxmWlsS2uvBxD4OSIpAkiYvfKOeZs3MJePwkxzrQ6fqeOn4kO6wCzrJl/YffBEEQhD+2gN+NPCYfizaVHfn30mgNcLKmGOM3l/Z+RmrejmrXR3iThqJS/vKFzUZFgILKV5HrzLDtX6Y3hIKw7lkoOo8dukm02yRqO119nv0p3PwkJUrHlnY5O40nM8i9nZSFV8DYK6BsIX6vi1LDZAbE6ilMjmBnoxWVvP9CZLNOidPjZ0iChgujdmL44u8YPFZujh/E9LFXstnZf9qrSiEjFAqh7K6EjAnQXQcdFRAKIgNCS+5E+mnnZWsTLLmL4Glv8/ny8Aqpr7bYuX6OlvyCNZwz9mzqO3w0dDnZUdvKtWMi2FDayUVTBlDZ6aVQBBxBEARBODCaZEnED7+Q9dYEnl9Rjcfv5/S84n6fk1UvJ+iygvJXzBXprES+8UWYdGP/e84O3JkzqOtKYVRigGGpJrbV9wCg/Fk4mV2YiD8Y4qr5W5HLJC6bnEv2rB9xenxkz7iEkLOTcz+sJBjaysUTM5mWG4dBEeT0EYl8v9uCxx/EFwhyyaQs3lhbzVMTg5h/uKq3fGXrboqK59M86goGxEdR0bo/bJ05Og2zTokhIIOuGqjbAPknhEehTMn7w81Pgn5CHhtDUzLYVt9Nt9PHZ2siueP4aawos/LKiiZeP1bLCM+r6MrW4kyZCO6b2ORM/OXf6xFABBxBEAThd+Xx+XiqIobFJVVMz4vhmMHxNNhNDNjz8f49YYBg+iQ0hshfV7jPGZ6Eq9CGVzsF94/K+BKLuHNDiI927uaUobHcOyOe6772Utnuorimk3NGp/DexgYA8hKNPL4ovBrrLxMz+W5nc+8J4GqFjHvnDOaYIZE0dQZ4fU14JdTLJyZQkOEjxZRMgslAtFHDo4vKabd7iQ9Y+jVV1VCMvLCe48e5MfjHUNbsJD/RSIxBjVwG0icX7G//5jeg6HzQxYAuav9qrH1CagOzCuL4bmcLFrsHv1/BV8U6phaYuGq0lQmbrkTWUwuAbu/XhNp3UXTGZ7/uu/2DEwFHEARB+N102Bzct6SOFWXtzB2ZgsMT5JzXNqNXK/jb5M85puyf6BtW4Y/KwVF4PibZr9yYzpxJKDafHl0UijlvYVh0I9jbCCaPpGnCgyz6pBsAV0COz9HFxzlLaRqWjzFYh8nfwVFnn8OuNi9KWXhER62QoZDLesMNgMcf5POtdZw6sR0vTq7TZvH0dx66ZGa2NtgYk++grGcN7W4Vd5wygleWaNBF9f/zGoxMoz3kIT82HbnLQFO3l+93tTB+QAzxam+fcAbAni8gZQyho+5E+ua63uX1ofyT8EcXkKLQ89ipBTR0ewhKEjUWO1FqK2fm9CDbWtunKKmrGslaB3ojKDWgNv667/kPSAQcQRAE4Xexp6kLm9PLirJ2ovUqRiQoyPBVc/7kVtrl8byypwvtyCcxZe5mky2KGVIiv3pLOn0M0imv0mirpcw+FNeQt5mWoeGbyiDH4ee7Y+y4NPGs7NDi1+poiZtE3pb7qM+/mJcdM1m2pJbR6ZEMTYsCQKuS95sEDFDX4WFvVy3z976KSqbi/qMfZ/m2HsYWWLl9wzX4Q+El4VqFlheOfpG6rkxMg8/FsOvdcAFyFbZZj5OtzOFvH1XxwukBepx+5o5MpbbDgcP3b7ak00UT0EWxTcoj69SP0dnq8GmiWNqdSLzDxNgsPZGeRsZRRUimoCLFyFXrbuWujDlM+TdfVYtTSVJ7HTpPB2iMkDo6POp1hBIBRxAEQTjgShq7WV/VxZBUE2Myo5g7LIZpHR8SvfExAHKArFG3sqAznnc36TkqL5K0mN84qpBYiIcgkiPErLQQTpmGcyLXo1twU3iysSSRPuU2ZBvWsGvAJWyZ/i4PLG1ge0N4KfZRqTAqWMeGkz38aNPTotT2q+LoQgObLCuI18UzIKIQn9fEmCwzixpe7w03AC6/i9Uta0nTFtGU9FeOGnQaDmsnbeYRfF/hpNLSziWTMrEFlBQkGnl22V60Sjmz8gvwm7NQdFX1lhWY9g9ao0Zy7Zs7aejyAeE5NHJZF4+e5sZbuwnjd9cjte7EN+xs3onU0u5q56OOrQwtPI3InZ/0ltU1+AIeKw5y5zQt2u5aJHM6NG6F1F+3au2PRAQcQRAE4cDzOTnNVEpPi4fjstMoVFuI3vREeB8XpQ7ay4gvfpRjTzkK38g0cuINROh/2271oVCIRF0G6UlWImpKsevyKXcaSCy6nvidL4HXgXzVw3DqmxQ629hia2B7Q/iIh1vGGbio9QE0u8Inh5+kMmA5YyH6OYN5YnE5NrePuaMSGJElR1F3EylxMayr6OaeTR08fFoCNl9Xv/Z0urqYHp/HUxurqExMwB+I57sVlb1nZi0paeOs0Wlsq+/ivHEZpJl1BCU53SfPR9G0GcnVRSiuAKUpkZBCi0K2f2n6ldOyuGCAC2XHavydSkJDzka95O844gvY3vQNAKvbinku5ShOnXU3yR43Dn0eu6UcBllVlNiUyCKHEv/paTDn+d/0ff9RiIAjCIIgHFCWLitp1s04rPWsUo1gp9VNvqqHHdPf4dtWM51uOHGIlxEljxIps1Fv9TE4OQJnw060SQVIv+K1SWmzlSUlrSza08qErEgyzJO4e0EVTq+BhIgJvDB1PEXLzwGfC7+1GcWi21BMfxuQI5NgZkQdmq0b9hfotROx8g5OGnMNI+el4VUY8Sq8XPr2XmxuH5dPjeaH3eEJxPWdbqYlnsL29m192jQjdTqfFLewtb6b4akmUuMMvLK6qs9nPt3SwMUTM7nv2xLevmg4mcoeImKyIa3vzsB64K9Tsrn1s50MSY7g0ox2TB+cBn43AP6YAtzHPE7EngVMypvKh+XhpfIfNSzlI+C6wQ8TrxjGzZ/s6F0Wf1RuLHce8xZp216FgceC/MiMAofFaeKCIAjCkUMl81Mnd3N9zzoeLrmEPdyPLHkQV67TY1JDnhluXw+r8++gU2tg5nAfqSorus/OI1i18hfXY3f5eG9DLY8tKmdHQw9atZpbv9qL0xv+Q95idXPdGommKY/TOPEh6uOns+PUlZTLBzA9Lw6tUo7B1dSvXHXHHjwRaeQuPpchHxRRWe/E6fVz+ZRsovVqrp+Rw7GDE7j76z0kq4dy4/C7yI7MJj+qgHvGPoYmlEMwFOTKqdkgyajtdParIxAMYdQo9rXTTsSON6F+E3TV9lsxNWtQPC+cXcSTp+SiWftwb7gBULTvIRgMIWvYxNEpJzIibhQAcknOnMxzcNvSeX5FRZ89f5aWWdgeygJbM/j7n6x+pDgyY5sgCIJwyHT6u7ml/F1qrDUAdLu7qbO08eGIEpKLH4WAlxOHXM5X9hlIIQ+tzhaO/eESsLch//4WnKfOR5c48H/WU99h5ePNDb3/9viD/Pz46LpONwtDY3loeRkjqzo5Kj8OXyBIZjRMGRiLXxXsV65twEnYZXoij38OmRTCXafkxqNzeWVVFRZbOBCMy45m7shUatqDmBjInYMfZWW1i1vfbSQlspTbZ+eys8nOU0vK+evkbGIMKtrt3t46zhlmZq7/WzJmDUVlkINsIKx9CioXQ3QOHPc4ZE4CScKsV3NcYSKNjfWou6v6tVeyt4JST0bTbq4ouJd1+nJCIQVLtgeYNEDG3lZ7/9/IFcI78lJU6iN34z8RcARBEIQDqtnZ0RtuAOQyOeMVdSSs+XvvtdjNj3Hc5FiaNNPQyY3798Np34vc2Qb874Bj9LWhlEvsG7BBo+z/UiLGoKKuy40vECK4L/0YlZCXqqRA2otGY8Q29T6M6x4ErwN39jG4h19E2vcXI6tbB8DoeWt4eIOrN9wArK/s4PShsRxvqkRRvhCpuJPBA2aRMCWdW5d2E4UNXyBEKARvrK3m2qNyqOtwUN7m4ORMPzM9C4lZ8zSzzNl4Ml+Ede9B3fp930E5zD8NLl0JcftfWflVJroHziVy81N9+hhIGkEo5Tk0CWOIsAX5vlhGaWt4jpFe1c2knBiWl/Xdl8fpC7AzYRqJzc1olAqiYmJxe3z0dFmQqQ3EmiP+5/d/uBMBRxAEQTigVDIjGrkGdyD8KsWsNhNVv7Tf5xIrPqIiZSBKbSwE9i3N1scS1MX8onqSKj/h2jHTeGB1eHfi5aUWLhifwVvraoDwnjaXTs7m+eUVZMXoKUwxcd+3+0/dPqEwnpuHuFEbs+iatwT8HnY5Injik3oeOf5FiuqGAhAb6KC0OdCv/mNNdSg/vSB8bhWg3PMFpx3/DJ9n5hBv3UWCcRgQHll65Icy3jsxgrH2x1Fs3wrubgBkXZUonJb94eYnfg+BtjLcXj9KuRxVdDrpsRE0Dz4LuacL4+73QW3EOulOZPpYpLemobpyK/Y2C/dN0XPhl25sHj95RjdnjEzB6vRQXG9Fp5JzwfgMFu9pI9aYyjlv7SYhQsWHcxPRlXxEfPnnuKMH0TXmWrTpI9Co/rgx4Y/bckEQBOGwpAjEcN3wa+lxWhhqTKPJ0YRk6z8PJRiZRr4iik3uLgIFpyAv+5raiQ+jV0bRf6F2fzICnN79BhmzzmFJo5KcSD/T0q2cOiCDdpsbg17HVV9V0ePycc7YdF772UTfr3e2MiIjn+GJmVRZ7Hj8Gsx6GS5vgM9LbAxPGonUtBmdv5OZWbG8u23/3JekSA2qlk294aa375te5v6j32FRpQJJ4+HiiZm8ubaaYAicbi+K2hX8/D1aSKYCjQncPT+7LiPQvIGguwd390CCUbkkZuRSpb4LW9HlSHIVSlM8MXvDy8HVL40heMY2hlpX8sXRGtpMQyiqehH1B2/wZu5pNOZNQqmP4t26brbUdXHJxAzSo7ScUhiDacPDqEN+mud+g8reTPS3F9M250M0GYN+wS9xeBIBRxAEQTigIrRBkgNx/FCzkBXNa7kw+Sjc6eNQGuLB3hr+kMqALHUUzY11xKWNYNOg2+mIPpcFu9Q8nuX97xX8JG08kRtf5ejKLzg6KhuaOyH6Blh0O2gi6Tn9U6bkxPBxcSMyKTyS8nMdDh8/1gd5YGEFEB71eWFeAU+tqMM66nyMrk72BhO5IM/HnnYDxQ125DKJM4ZGIQX37X9jSgGfC5wdEPCypb6HO5dZmH+2iUjJzkvz8gn5XOTHqrF1nIlx93xQ6XFnTCRoTMNjGoBq3FWw/P7edgXzjoeaNURsfLn3mmPOCxCfS1ZiFBC1vxNRmSBTQMBLVtda2mOLyFx/J9lJZbD1dQiFiCj9mIjSjwGYPvlDdqZFsrayg3tOzCcp0ER5ziMUNzhY+l0T6dE6jpm9jHx/4y//0Q9DIuAIgiAIB1S9q5yrV+0//PKWrjKeGHw5M2c/Ca07w5vvyeSw6TW2DHiGfL+cVfV+Xl3t5ukTYomOivtlFcUMIDTrQaSeOgj4QRsJG18Jj5C4uojY8BgXT3qasVkxGNRyChKN7Gm29T5uVCsIBEPYPPtfP3n8QV5fW88lEzJwe+px5ZzOfRuDvHG0ljfi36EufxxqfGToGvDGjGfrUZ+wvFWDSQVTTa0M0Lt4fFEXMQYVjpZKTtxwPhAipI+n6ZQvaB52HZ25x7M91Mr8+h8wq+0cbd/BgJxpaMxJqLobcKh0ZJpz0H5wRp/u6pfdjyVxNFd/2c6JQ5OYnhdHgkkLSaPglFdg8T+J+e4SgvM+IDDyEiTLHqSfz7oGskwyrpo+gIve2sy4NB2ZaYks3NzJiysrAVhTAd/tbOaFs4v4ZS8LD08i4AiCIAgHTKu1neV1S/pdf791PZMy0pCVLkLVUowvrpBdIx/ljTUBni/wY9YpePWUVIYk6kCp+mWVRWUR8rqQmreF93JZ8mSf25KllIFSI1WqBHY2Wzl/fAbf7mxhfWU7uQlGTi1K4fnlFZw3LqPPc7XdXjKiNWj003B53IxVeLn4+1bejPVTuPry8IfkKpYfu5QLv60HwiNOL6iNvHrmaD4e9R1aVzPGhFFQMIeQUou18HyqrUH0eiPFchcPbN7f1vXNG7h2+LVkRmZx9daHAfg2+zzSft5fhwX8HjZUdbKhqpMLJ2Tw92PzUWp0EJUNE28EnRmbOY+ImkUE0sYjiy9E1rqzt4igKY0OTSoeX4DLJmfhCqlYXe9jcEoEOfF6bpqZi1Ylx2L3UtfpZFz2L/spDkci4AiCIAgHTKvdh0pmIFoTzTGZx2BQGtjdsRt1MESnX8sPA59En93DNovEJ9/ZeOzkbOZvtXDuyGTy45NB9Utm3+wTChHqqCKUOhrJ1tL/fuZk3KWLeWPvREamR3H313v4x+wCZhXEs66ynQ831fPASQXc9U1pn8fmDolib7sbSW7AY3fz7LLw66uFOWdyfK4TTfmXOPPm8uyP1j7P2T1+9tS1MW7LA+H5NFuAmfcQShqJ6e3pTATWnbKUD6re6fNcIBSgxdmCQqZlsHkou7q2U6fRkSZTQHD/MRDuoWfyYYmMSTkxmLRKvtnexLlj08mKNUD8oPDrv+9vw6Q2EBx7BWUuEzFHP0/k9ldR1yzFljCGLakXcNWCep49M4bPtjRisYdXhqVHabn/5MHc/sVuajucTBwQzRXTBmC1OYkw/rYdpg81EXAEQRCEA0Ye8jPQOJGY/Aje2fMOPZ4eRsSP4NLCq1lTraa42cvAhERy0uR8OsxFsqaLBHMadr/s14UbgK4a/Ouep+OEV2kxyHAdP4mU7s2kb32EYOpYZOoIQs07MGunkqPu5J7jc7j9q93kJhiZkB3D3AI9I0rv5+YxZ/HAuhA9Lh/njogmJ1bLlQt2kBWj58rJ+8dRblpqI2nejYzPHEtAMmJvCKBTyblhtJ4CTTtumR6rUoIZd8Oye8Ib9q17Btns/aM1SYEWtPL+gUEpV2J1wlEJf2FX19U8Vvc9Rae/g2rFgyh6GnAVzqVr0Nno6jW4vN00drk4tSgFX2DfvCK5EgbOguSR4HdT1hlAQqJFEcPd9nNJTp3H1tYAm3eEJ0Vvq+vG6w9w5uhUhqVGsrOxh+Wl7djc4UC1pqIDpzfAPScNYrAIOIIgCMKfnUxuwaCBu9c923utuLWYl2Vvo+s+l0HJZizdNuYE1pK25HY6Rt2Ifug1ZMcafn1lAQ/lM99m0Y5uXlxRiT8YwqjO4PnTlyCTNjPxh7vQFZ3P88pilGsfIzj0bEZddA6twQh0rmZyN9+FsnYFJ+sWMmHohXhzjuP5HSGu/DQ8YlPV7sAX6ntsxN42J+N3PI7R7+HSUfNJ1yoprH+dTkUhpvZtqExx0GSB0ZfBigfBY4PG4t7nMxZdw8WnPM+N627pvaZX6imIKqCq0URNl0S8Lp7L889GvvU9PPPew+734FDq2VQd4oHvdhIIhufVvLSqiiiDityEf9mzRh8NQMjejd/v4+NNDZRZ3CxstyOX9p9p5Q0EeXzeUDZWd/JjVSeJkRpGpUexvaGLTkf4lduWum467L9wwvdhSAQcQRAE4YCxeHuweJv7Xa+x7uXKvGhKmrwck2MgbcHtAGgjojFhRaOO/FX1+AJBSl2xbG2y9b5CArB5/Nz0RSVPn55OcNKNhBR6Omxu4ua8RLszyILdVl79MTyZ9vJRN3OOPp2YPW8Tt+0ZnLmT+GBL3+Xsy8stXDs5mWdWNxIKwSdlXs4ZdBryjS9yrGwT9erhXOO4iFW7HQxLHMltWW6GRpX0Lh8PFZ2PVL5wf4GuDkY1lfPk5BfZ2LoGrdxEvGI45dUaBiUb0OLl4tirSarZiHP8Nbxd8Q3vl72NQqbgokF/5exx+byz1oJSLnFaUQqNXU7abR5ijOo+7c6INbC2vI1vdjbz9OmFbG+04fEHMWoUfLWtkakDo9mzt5J56t0kdy6h2z+Eso7JnDE6jc213QCYtEr06j9uTPjjtlwQBEE4vFhb8IeCRKn6vtKYlDCLNGkef/ukHF8gSPeIVMynLCRn4VlsCBawtbiZi3V6IqOi/3cd7XuhuwF5KECSMp7V3vBrLY1SxmUjTBSavWxpl6Mnnp1qFbtteiakSIS2Pckqw+k8t7a1t6in1veQefTpnJReSWj8VezyJAB998pRyuDCwUomZgykyyfRENjD14FEjh18Mm5zDlcvg72W8MqsDXV2LuxQ8dWc4aT0bKFtzK2ECk4mPhiAjgoIBvCkTcaZPJ1opZldu2SUNjvodHQAMG2gmTuPTSHg1PG0XkGCtY7X9+xbJh6AZ7Y9xj9HP8IpziQm5cTy1fYm1Ao52xu6GZ8VjfZfwohKLsOsk3P2mDTu/baUyvZwcJMkeG5uPoqghxOdnxG1PVx+At8RY/qQxhM/6C3jhpkDSYvsG5z+SMRhm4IgCMIBEVLpSVZGUKSKY2r8/kMfBxvm8NKyNpzeAL5AiPkb6/jBEkP57M+4drmXt7Z00+n8D4c+euzgaA///6atULkMtr2L7IN5RH90AucqV3BigYmV87RcV3clM5afxM31V5FDLW59Ct/uaaeiuhJ5VyWfViv7Ff91rRxSR+PRxJBR/ianDdr/qiwtSsvlBV7qur28u91Gj0/NkKh02mQSa4dcRIl2OHstfUd8Oh1eqj2RrFaM44Sto3h9VwBb0eUsnfo5W4/7mqVDHue6JTZqO12sq9j/OghgeXkXPV02DDIFJ+SdwQ91X/Vr76a2NUweGMf1H29neZmF73e3cMk7m/mxpu8BnTsbukkxQGa0tjfcQHgF/RPLakiVdRC18/U+zyh6aoi2V3DXCQW8et4IZARB4g9LBBxBEAThgLDZbGSHVMT2NHG3S8areX/huaHXUtPYfxRg4e5W4qUOFp+mJjfBgELdd9THZ+/CX7aI0Lsnw8uTYfkD0F4JllLY9Wl4dZGrC+PiG7lzkpH47y5CkmSQMgrJ1oT203Ohq461FZ2o8IGtmcHm/hv9DYr0w44P0XRXErfzZe4OvsiXR9v58KwsXp2lA5WR6kAs+QkR3PftHqraIhkffy7PL5bYWO9AIeufAIIaE5d910Wr1UODpRtNzVJWNsn5zhLLlZ/upcvpg5/N7fmJoquGGBSk6DNJ1mf2uz8jZRYfbqrrW18IftjVdxVZW7eNrs4O/F43P2ex+9DIQ0D/PXI0kg+zTs6rq6vRqhQoFf++nX8E4hWVIAiCcEColXL8PgUyYwJRu75g7PYFoDVTNuidfp/NjtWj3/M2prKveOXMhUTFRvbeK61rRd5eQs43Z+5fJr3yYZj9JFT032Mn6OiASTdC626wNsHkm6FhIykyCzcdnYvf5CGg0HFKfAuf6U107Bs1iTOqmB3VCNUSIYUWCdDXLyMucSx/3xBHXFQUZr2CL7eVEW1Qcc9Jg/H5Aqyr7KS43orTH+KvU7OQSzICoRBKmYTb4yUvUM4Px9j5vCWG3CgfyiW3c+nsd3loR5Bvj3UT79xFS0QGI1ONbK7fv/HgCXlGMtq/RJZ5Hk8treC0IRezumkpdl/4NPBoTSyZEZnIpf47DMv+ZQIxrh7izEYe+aGOaybEIpPCIegnZ4xIpDukQT/0HGRb3+69HjImoVDpmO1cw4iJmVRIMpQ+B6D5Bb/+4UcEHEEQBOGAUEfGY/X70devJzDzPuQ/3AauLqbqqnjLnEp9V3g0IUKr4PxRCSjeWwBAZNuP2BUKDOlDsXR0cNfCCl4d74SJ14WPQNg2P3za+N4fwJwJ3f8ygiFTEKnXgMUKWjPEDISdH8PAY3HrU5C6YXO7Ate49xnhWMWnk92UKnKRtGbyOhaRvv01Qsc/hVufRM/Jn7CuVcHzO0K4/SHSEhS8tDI8J6e5x831H21j/l/GsK6qAQCry0t2lJpbvyhlVKqeeL2c0dlxvFMfjzuYwIn5anJcOyDoJypg4dYsCypnG6ui51JT4eGhY5NYU9rExlaJyYkBJnlXojfFQfUKTksdw6oaDc9NeYOSzjLkMhkDIweQE53MOWMVrK3s6P0Kji6IZ0yGiQe/3ExOjI4xaUZarQqWV1p5aZaBZ04fxNPLa7HYPRw7KAG5QkWwrRxZzlEQlQF7FxFMGIo1Zw6lrU4y5TJSnD8SMAXwhAr4DevbDgsi4AiCIAgHTIROR0/6WHy1azHPfYeg30u638f8sQ2UBpLwBSXypDqSHPsPqZR5rKi/uwbHyW9Q1xnigYJ6jD++AbE5YCmHyTfB6sehrRSO+gc0bAwHHyAw9XYUX10OXTX7GzHzHoIVy1ksm8ejP5T1Xj6taBiXFemY5a9Esm4DfZDQuKsIGJNRVq1Ao4rBpynAG7QwZ1gSH22u79O3YAi2NXQzNsvMZ1sbuWFaFs+vqOaT4yCn/Gk01ibq7ecysWAqty22cMPeEK+cPo5sQB2TSai6lMsrx1K8Inyi+dLdBj6e5eUC2bLw5Om0MdBWAioDKZokPt/q5Zyx4xmRnN+nHZNyYnj1vBF8ubWJ1CgtcinENR/v3624KFnHDbMGoVHK2GPX8cyKGnITIhiri2b1Xgs1HU7yZxpJd2+CzW9gmf4oj5bE8PHr4blOGVGxvDIzidj2bXhSiw7AfxWHhgg4giAIwoGjM6PxuvnWaGBL0/ecGzOSoV9dRyqQ+tNnjIn4R10W/v8RSeB3o2zdhr2zjkhMZEVIMOQ06KyGwaeAPgaGnk19ZALos5Cd+iX2xlJ8kppklR/zv4YbgOK36Jz6ME9+XNnn8idbGjm2YCitrhiiovN5ek0bE7JMDPfFUFi7FsWQc5gZ5WHE0QokfZBFe1S0/2wfGK1SzqhIB2cXxaJVBPjnqACFS8+FgA+A1LbbcCv/yXPxLbwSPZvyzhBZRRfg08SwgUEU13f3lrWrxc4dW6J4SGVB6XOGQ9y022Hlw8iyj2NIigm1ov9UWYNGycyCBGYWJFDV0MIxL27tc39LoxONIsDdJw6i2ubFYvNS3tp36b5fpgZjIoy+jDXtRj7e3t57r6bTzXsVRm5KVGDU/HFjgphkLAiCIBxQ6shExkQVUJg4mg+7dtA57bbwadcA6gjcxz2DwtYA46+BYWfD+ucBcAcgWeeH2rXw3c2w4QX4/lbY/hGB/BO4rXUFWx06tvfo+dg1iqXBIuTBf7MRnbODgC7u354e3mIPcM6nbZzxXhlFGdH889sKnlhWyfYJT2HQaDCvf4gBX5xA9sfT+dt4A/86tSUhQsPQFBMpjt3803Y3OaYg2b69veHmJ5riV4iQeTjZXIlMJhEceTEodZQ4TADIJDhmoJFrRhvpdINr4BzImABzXoZNrxFKLqJZkcz54zNQyP/7n2m3z4830L+f3d02MmP0FCZouGBscp97SrnErNQg/HA7lHzJzp7+O0ivrXPhTZmIXvMLzwU7DP1xo5kgCIJw2Iqv2sL5W1+ledotBJVmes74CuwtKKUQuoqFhHwOpO0fgjc8gdabMp5OTTrxvirY+m7fwioWI428iO1dZczL7SRVl8rDqyqp7XBy5jmZRMjkENx/IjiFc9GrlWREa6npcPVe1qvktNnC84CsLj+7m6wMiDOwvNTC+OxoBsnLUFQsDn/Y52Jy8TV8MO9l1rUpMeuUFEX0kOCtRZJJqOvXoPNaMBv7z1AJqfRIPicJHT9C7jH4i99GU/oV/8feXUdZVbUPHP+e232nu4sZhqG7U1oFBexGX7texe7u7gIDFAMVARUp6e4ZmO6uO7fr/P64OOM4yItioL/zWYsld99z9tnnMGvN4z57P8/AYR+xRK/i3XF+Mg8+hrrwMLZuM1CKA2Db24iD/oPQ7xLcQckYjDrSYszHfMaiKFJr8zOxWxDfHmppbw/Rq0gKN3Dh+7v59j/ZzDHuRXlKXz7aVsnE7uH0iQ/i5QM1JPd5j8Hsoa/cyju/6Ht8txA04UnHvP7JTprBkUgkEskfTmEMh/pcoj+5mLAPT8f81UWY/Ra0Rd/ir8+jNe10GofcgTN1MhWD72P/gAf5vtAVCFTErjMSeJ3clXkRiwpeYX9lG6WNgdwuFr8aJjwI0b3BGAUDLgPRj671MC+enkzfhCAAUsL0/HdiN97f3LFAuaLZQcSRDMByQYasqPMOLVX9fgbuvo3JKQouKLyJXp+PprymDnd4DzDHUeIJYZMrGXSdExQKvc+DQ8uRxw8gpeYH1DveAlsdA8re5aNpOnqtvgh140EITUOf/zXKQ1/D0OsQlDrQmFF/cz36/GV4i3/E0dB5S/jPNdvd3LW0gFl9IrhqaBSJoTpOzQ7hjTndMJqCeXxWT9aUuAg368gJFflsvI0QnZJrFu1l/o5GivxRrNBORReRyOw+ke399o0PYmxmGAad/rf8k590pBkciUQikfzhVMYwSB4JxesCDa428DoRB8zlgBDNhe/l4vGmkRjWE0u1h6e7RTDOAE51LLqonlCzt6MzQySiMZbZPz7D0OlPs2hvRwBU3mAlbcO9kH4KRPeE/O+gpYzGmLHkuxTcNjEDt9OKgJ9LFuZ1em01pXsoz60uYXRGOAerWvHHDkT2i23oQvxAUjwFyEvX4QtJZ4fFTLjNR9XAlzDJvVyzxsEjw99mtLALjaUYITQVcr9EjOyBKjob4aNZ7X2F5n1IcFw3Kntdx/fCUFZUKBmS4mWauZBUdxWsewLC0mHy4xhLN2JpjMBYsh5REBCUWkibEAimWkpBbUBvSqNblIHLFh2mf6KZSwdGsq/WwZoSB4s/3cAlw5LZWtxE/+EJlFW1EZaUzYtLDnHp8GS6R5t4f1MpuytaABiWGsoHF/VC4WwhWmVHd/gdKo2XERsZyT+VFOBIJBKJ5I/naAR9OIy5I7BGRZDBj08hm/I0icmZvHxuGnm1dhQyGd2j9PRLDFTtzq9qIHXio8h2LoDi1RDTD7H/Jcgb8yBlFJ6yKvrF9Wy/zDeVGobGDkGd9017mz8kjY/Lg1l8uIBTukfi8voZFqvgv6Njef7Harx+P//pZ2SKuI6wySPYU+djRHATMm0EYtxAhIqtgY6ieyGIIoLXgTVlKtsSLkUpRBBkz+OGnQYGxLu5ekwqV36TR5CuB9cOGsYYVSNxQ25E2ZCL2FgIqWMg9+v2sTlDMnm8UMtXuUfKOxTD0rAEPhwXSQQEdlM1F9OUPo1GcybKvGK0ghy+vwc2PA9Dr4eV94BMgWr4TVw7aDZbiprYXtrK9tJWukUaGa7TMjRGzkhxGxcGbaVFcQVykwa/tZopOdFsK2nCpFW2BzcAGwobsTqcfBDxIfqk/sh2Po+l2wT4twc4TU1N3Hfffaxfv5733nuPl19+mfvvv5+oqKg/e3wSiUQi+QcSgpLw1x9Gtv+zjkZjFIRlYNKZGJJiYkhK1/MSI4J59jsz1w64EkXvcxC8ToT1z0LZRgDCzv4ClS2fh6Zn8uTKQr7MszJ75r1kx61AX7SCpoghbA6ayrMrLfj8ImqlnMGJZlJtu5i4bx5Th1yMX6YiJvc9ZM2FjDh7BdnBJlK/vRn/tKdRRPaAtLGBwTQVw/pn8I+8i8c015MiC2VidiSm2jweGODiitUeMiJ9PH9Wb1rsHiIMSvQ1G1Atux8AOSCO/C9C5U6wBJLzlSqS+So3v9M95zc4yW+VBwIcwGZI4Mp1Gorq8hifPZ45/aPo/ePTYG8Ejy1QUMrvRVj3BH1OMfPlKD358jTaNDHsrbaz8mANH+dsJWr3R5A9g0J3EP3iFIQX59InbhRf7q5ieFpYl2df1OjCmpaGseA7iMxG6205kR+Bv91xBTgPPfQQubm5OBwOLBYLu3fv5s477+Ttt9/+3ydLJBKJ5P+dvaKJ8EkPYd4+H33JOryxA3AMvRljZPdjnqdSyJk1OJVXdpZzgXYPId9f3/6dq+dsKokga/WZnKc2MfT8hfhdVlTuZtZHX8yXVWM4WOimpDGQYyc7xkRRvZUJ8QIxIXporSBm84OdrldvdRMVZEM24yWE5lLa1OEU+5MRRUhyF2EGVMExzBvSC6NWCfZm8NjJFJv4bHIKB2WRODxuTH4LY937UW+8v1P/wta34LSXoGQ96EIRvF1LJwAIviO7wZQ61lui2FLUCsDCLbXUWTw8OXsRIYtmgiECz7AbcSYNA0CmiUTuNdCzrQyv/QC3bpHz4CgjUbUbIGcW7tBMelQtxpz/Gf6IHGKSRuHzi0etEn5qNx3hJUshsht4ncgNEV2O+Sc5rkXGGzZs4KqrrgLAZDJx5513snPnzj91YBKJRCL55yq27Wbiumu5XGPnpcHncnWQmm2C/X+fCCSE6Lh2bAauzGlYzv8Ky7RnsJz1AXWDb2fOokpK+t8BDYdIWdCXtBVnE2rQMNRUz8C0KKpbAwFEfIiWM/rGYRKc6DRK3OZkPNH9O13HkjmbzyuMPLhdSZFVSWVlGTdXjuHU74yc9r2Ra1rOpXT868hi+weCGwisDfrsUpRV2zGERJJiFhAEgZI2gbX+XjR0v7jzzQgCu52R7DcMhS2vkbjnac7o1fm1T/dIHWm+fEgaQeMZC7l9vbfT96vymijVpMC052gxJpIXM5ONlkS+rktiXaOZlWVevmmOoy5iGJ9flMGwFDPukbfhjOiNonwD5jV3QuVOZLvm0732K+KDNXx7oIYbx6cTpFMiCDA9O4y5qa0o7LWIicPwj7qNWmXn7eX/NMc1g6PRaKivrwfA5/Oxe/duwsK6Tm9JJBKJRNJoa2Hx4U8A2Nt0kL1NBwGIr0pnbOKo4+pDLhOIDg2D0FFA4JzikjpeHgUKtQ7bzPfx1RykURaKUaYlLLEXp6kP0PfSntS2eXC53Kj9zUwdbCK8fiUyRzSV457BX7iGkMZd1EUM54vWNIwGAx/sKGJScjR18sF8d6ijKvePJTZWZPTiiohuHQOzVAX+u+9jSgc/watrivhmX0cSvfN6ncmd8YVoywOLq6v63MDlyyy0OdV8csqzhClcDJCHkRltZGNRM33izYzNjCBcMOKPjGWjM5ImW1GnZ6FTytH5HXh2fsj6Pi+xqczJh1sOo1bIOLVXDINSQghX+5C1lKELjSLRW4N8/2IISoRdneuARW95iLdmr2XRQRcl9RY+OSsBRVs5MY3foZFFI469G0EbSq1oxq/oXAD1n+a4Apw5c+bwzDPPAHD++efj8/m4/vrr/8dZEolEIvn/yOvzo5J3TRCnknetKv5bZLdtQLHlRpDJwdaANWMG3wVfyZnhmQDow9P5cc/r/Fi+luezryCytQYW3x3ItZN1KtHdpnIocQI3FfcnP9/GlJxQbPU27G4fGr2ZNbmuLtf8/lAzc0eLyH6qGh7Uno+ZJqu7U3AD8OHeVs6ecxcZmucoiZ3Kq6Wx1LUFZq6+aUtndLdwnlq4G5kM7pgezn7Lcp4+sI/pyacySK4nPthEr3g9e8o7SllcMy6BjPV3cbjfnRQ2iny0tQyNUsa8SZnM31jC4h0VhOpVPD5aQ4+Gt5CpVIG6XePvDyRY/HmOIJ+HbtVfcXfF54jDbkC+8JpO2/Ltp8/H29KAKTUTXcj/g23iV111FTExMaxZswav18uIESOYPXv2nz02iUQikfwDeSx2zup2Dttrt7e3qWQqhsUMb/8siiKtrRZkXicqYyiao6wJ6aStjnpTNuVTlmPSKEimEsM313FB3za0hkDgpJKrOD/7QobHjSS0aCNsfztQs2rCA7DrA2T7PyMzOJm3JjzD/OokvtxdRWG9jVC9ilizimERXr7P7XzZwSkh1FicxAQdyfYb1RPG3gNrHsbq8vFLogj16gQWqOfx+fdVeHwdr+WqWl089X0+D53egxqLjdLGBkJ1aXzXsoR7N9/D5TlzGeAxcO9pKeRVu6hudZIVbaR3iB9h+z7qE1x4/CKiCKf3juXt9cVUNAcSGTba3Fy5wsM345LIsO0NDOTHp3EPugbVhqc7BhicBM5WZH4PlKztknNIuXs+3yTfy3Rv12Dvn+aYP1FVVVXtfx84cCADBw5s/1xdXU1MTMyfNzKJRCKR/COp/VbCFWk8N/pF1pT/gFapY2TsKCLkSQC46gtRNRdhdjQheF2IwYk49dFoIjN+tc+9tQ4u+7iMujYXMgFuGBnDxdPexOis7HScSW2iV0Qv/BV7A1uu+10Mm19tr0AuNBdjXnIeU2csY1uxhrHdQhnfPZo4+x7GyvazPD6HLeWBoKF7tAkRgfPf2sLbFw0gKUwPGlOgxES3yYTaVMQFa9uDDICsKAPp/mLiumtYslsAxPbvesWZuThHiat+KzJRx/JcOXtqlMw77T6eOXA9H+UtxJfhp6DlKy7vdh6zlIV8WBaNU26CIVcTYy/F7Ykj3KAmzKjudF0Aj0+k3BdCRtEaSBgMTcV8KZtIr5FJxNf/iCYsHkGQwfpnwJxw9ActCHyRZyUnPpisox/xj3HMAGfs2LEIPy/E8Qu5ubm/+p1EIpFI/n9SBcWgKT7Eol1qrhh9NTaXj5L8euLSfdBajaq1NJBrprEA4gch2BtRCzJ8rnjk6q51kVoa67lnWTF1bYFZBb8Iz6ytYlB8OoMig486BjEkDSKyQB/aHty0c9tI8pdy36ljQRSJNKoR6/QkbH2IF4Y/yLJeE2hx+KhscfDKmgJEEbaVNgUCHACFEiK7Y6xq4cbx6Xx3sJZ9Fa2MSlBxSVw5sZ9dwwfFoXx760L+s8KGUiFneq9oRujLyVhxGVjrONSqZG7CGSxJOov9xTrWDn8WQ1MpcqWRkqih3PSlnXMH9mZKlpPCgnxSzEYSw/UMcTmJG5uGze3FqFbQ5uq8IDlU4QzM0lgqQfSxucbHUnsyNw/pTU/Xblh6XWB2p7kYccjVCPs/7fQKqzD1ArYus9Dm/+fWoPrJMQOc888/H0EQqKioYNOmTUyYMAGA7777jtNOO+0vGaBEIpFI/lnMJhOuiBjuGlRNY3MF4Rot3bPDaWi0gOBEWHp9R9Bx4HMYcjVi+mQESxmEd+vSX7PVzu4qW5f2ylY3ZKYfdQyeqJ74JzyCsmo7hGdBt0mBtTsl66FsMwKQ6iuD6GwA/DG98I/4L8qmAt46nEFlS+fZkdrWztu795a38PmuStxeP+f0jaJ77BaC8hahzA9kYH51p8ipdVt5bWwPXi8wkBrcROrm+8FaB8B3ZWrC6r7korlTMBgh5JOLwWUBICW2P08Mf4CJi/J5bGYq4yKDEHfO5/DARxkVZKeypRR7UDAR07txy2cH8B+ZJLp2oIn08gWQPhq+vQOCErm/rwPFlldQb2iAzGn4Zn8E+xYjiD6azDl4Tv8Uc97HyHxOiuLP4PYdBmLMkBTyz15gDP8jwLnzzjsBOO+887jzzjs588wzARgwYACff/75nz86iUQikfwjRUTH4o+MIcTtRa9SIJMJNDRaEBvzEX45o7L9XUgZg8vlQiuK8Is3BwadhpxoHfuqO28zjzarQXH0hcsajZ7t8hxy0iJoDepFUZMLmegjNT2GkH4X4bS3oTNa24+XqbTYc87D1JjHHG0oz6yt6NRf38SfzRTZm6m3uimpa6He7iXSXc6rr76EwudELgtmcKSbVreMJ99fzq2X6Cn8Zjn7PqrnpcoSZqVqGRfr4otiLUqZyG01Zdxy6+usmGhBLYendhtIKTpA/9Q8Ug6s4PGtLj4JFnjkvOFktW5A3LqU+OK1ACT3vois8y7hYJ2bRa88wfbcFh6Nj2bzW+/z5YMPMuuhz0lZeikqwc99AyzcsqiEJl0qBTYtUUNncGc3M7dccyvn3P0StTao/PRjokJjmdYtgXnXXIZMa6K+vp45c+Zw7rnn/tYfgb/dcS0yzs3N5ZRTTmn/bLFYyM/PP8YZEolEIvn/TiYTMGqU7Z8VCgX84pUKAH4PMrcN9ff/wTf9BeTxP8tX43UT7izjgcnJXPZxPo02N4IA1wyLIiP0GK9RvG4yDVbKm+HaH5Tk1nkBOf1jk3lqpAJtWAQaT02nZHC60FgIjeWMcAetPgXvbyrDqFFw59QsescHgaMF8r4BczyDLSWMEd/HHZXEx2XhZGV1546IlWyvUxGq8fPBYR13/fc6vs2vpjqxkjfPupWgZU9zwQflnJPuYEaygzCNj/79+3Uk+fuZHTt20OASuPPhpzA4D2CrPQweG6Ixhp/CP1Xht3Q/9BVflPbltH7xnD90EBuKrGzYfZj98Wdht87nqgFtdA/x8vguI0Oj3Fw4tIWbVDey9LVHaJoxiia7h6dXFoFcibygiUmh0UTbDlLb2MySrz/E7/czffp0Jk2aRGhoaJdxnsyOK8Dp168fjz/+OD/88EN7HpwxY8b82WOTSCQSyb+ITqcDWTRog8HR3PFFzmyoP4ys7gBicxH8FOA0l8OOd2DTi/QxRPLlzDcp98Vj1KqICTUTEnKMX7hVu0Cm58vDTnLrOl43ba90sKY6mHOjBRx2I/r6Q11ei8UGa7l9chYXD0tGKZcRadIEvti/Ciq2g6UK/eqHANBUbuUsmY43w07j0t29MblquHGYAVEDnzXEUehzElVi5K2b52GIz8bLT9vKBUgeiU+vR1R2rDsS5UowR5M6aCK2LRt4/dE7SQiWc30vEfJW4J3zMWJ9AbuybmFdvY4gtcDe3a8wo7cD1j5Gv/RTQSanqtmJiECyKRBQFlrkTE904FXoEXVBiEo1TY2NiKL4szsXWXW4kSk9s+nTfxAqVSCATE9Pp6ys7B8X4BxXJuOHHnqIMWPGkJeXR0FBAZMmTeKBBx74s8cmkUgkkn8Rq9UKHjtMfBR6ngXRvWHMnZA9A3wuiO2H6HFQXh9Yi0LltsCOH58HWiuIWzyZIXmP0CM2+NjBDUDFNvw+HxvKu2533lYrIHe1oRPclLR23eoNoJDLiAvWdQQ3Pi9seyuwK2vra52OXVkTTGz3/tx40w0MnnoubxZF40HBqxurKV77I6O7Z3L/OQOZZDwUCGZG3oKQMgK/2ozR3ohSb6YucjRi34vI8yUhakOo3vcjc/pEkHrGLVw/NIxn1reCPgKVHDYMeYOzlnl5ZZuFR9a3ss9u5ltnDly3mz0Jl+AXlMgEATdKZBozAKkmH9vrVZT0uI5luyuQeRwY9VpEmRKcFhBFZK1VCAh45Dpyc3Px+Xw4HA4KCgpITEz8Tf/WJ4PjmsGJiIjgpZde+rPHIpFIJJJ/sajIcKg4gPjjUwjRfWDUbYHApnIHyJXQ53wIy+Der3N54Zy+GBoLu3ZStBYsFaA7+u6pdhozhp1vckq3K9lZ1tLpq5GpZmTrH0ZsqyR62svHN3hBBsZokMtg4BXgdUHhKtwuJ1WZt/LUC6/hR0CpkHPfDZdx0LoI9n1M9PCJvLvgBV5X6IkJyUKUFeFe/SQ9LHqe2BZPSs+hzM20cfnnfmJ0NZhc1Qg1bgbKt/LhtgQatet4QrRydS83DL8JqzKM57/tvD7Ikz6GVT8uYee2LUQE6VHLfKSEqml2wepBb9Dbs4tLshu546tSnrvnPfx2F97es8gI16DpMR42vgn6EESllvHpRjRqNV6vl7lz59LS0sKVV15JSEjI8T2nk8hxBTjXXHNNlzZBEHjxxRf/8AFJJBKJ5N9JJpPD3k8QRt6CuOZxhJwz4MurA5mGAYxRCBMfxeKMpKi2hWxzPPJfdhLZA7TH8aokYRAySyWTkrRsKQlldX4jAKfmhDMiWoSVSxEAlbUSyD6ewSMO/A/Crg9h+zvg90DPs2nNvohH36nDP/I6ADzAC/kaFj71IBurZTyzuoSGEbcAYAEmTzfi1b9PRMZFXOgIw6kTmfyfSGbhgM8u6XTJBcNLyZ/yBAqtieQf/gMaEz5ktLk6kvNd1kdHSu0WMhJV9BswkE3lPuorCumx52HeW/gJ9y8r4vEx48hSVHFHn0sp84VS3mRncKyCOFkLH99yKksPjeNwq8BpaQp6J4ZTlbud1NRUnn322f/9XE5ixxXgrFy5skublORPIpFIJL9FRWUVmb3Pgc/nIpz2MuxZ1BHcALTVIFTu5MqBZyF3tSAvXgOpY6FwVeB7bTCMvBnMx/H7JywDMiaRtPVJXjD4KTnjHGRKDUkVX6BvSIbUCVC2AY5SUuJX1e6Fza90fN79AQZzCmZtDs12T8d9NjuxFGwmXJNKraXzK7Llh9u44KJ7ueiDfYxNcvNAxBoMu16Akbcc/TaUHuocbYg5s7jq8Q9p8wgonDKULT5MajllxT7OPrU7d7y7H/kn6/Ar9Nx5wQSEmBwG6mr57HQt2h/uQKjYRjKQrIvCM+d9FD8+iVD4A1lpE8gcdgNtMjMriv1YKnIDeXL+BY4rwMnLy2v/u81m48UXX8RkMv1pg5JIJBLJv5MzLBvNme9CSxlCc0mX70VbHeZEPSmF82HPQsiaDmPuAL8XV+xg1Kljj/9iKgNU7cJYl0tO7qKO9pzZENMLcdh1CMEpx99f6YYuTdrDXzEwfjDfHmppbwszqAh2VdEiBPPLpa5ymUBxiw+X18+laRbC1zwX+KJ6N6SOg8IfOg4Oy8BoLUYTkoYYMZYHLw8mrH4zTdEjWePJZlysB/OauyH/TT4+PQP63wJrHoPkCFCokNXsQ6UJQqjYBoA3OBXPWZ+g+frKQKJFQDi8AqF4LepzlvDGNhcX9onlgjGpDJo85/ify0nquBYZ/5xer2fs2LHMnz//zxiPRCKRSP7FtBGpeOMGI6aNg55daxoKyaPJ1FnQ7jgyU5L7Nax+BNY+gau55rddzBiHmDSya3twAmx6Eb68EhwNx9eX0xpIGPgLYlgGY5PU7al71AoZT43SELP/NTLaNtMr1tDp+Nn943D623jqPD2ZurqOLw5/C73PhsFXQvzAwGLm7Bkotr2ORq1BVrufMMECYd0IadnPtPg2zMuugppAYkEaDgeCm34XBupLNZcGshl7j+wgU5tY0+d55Nbq9uCmnceBorkAi8ODV6YGjfH4nslJ7jevwfF6vezfvx+DwXCMMyQSiUQiOTqlIQSczaCPgMFXw453Awn7hl4Hh5ZhGNUTR9/L0G792QJghRoiu/+2C6k1+LJOQ16+BaF6d6AtfQJY68HrQmitQGwsQIjpfcxufFV7keWvQAhKhOBkaC4OfKELRYjqwWn75pF96i00KqKIs+wkZcvj4GgmfPdLPDBzFssrI6hodpAWYUAp9+LWbWBrUz5p6jg6XbmpGPZ9GigxUfA9WCoRpz6LsHAO/JQrxxAJg6/GhxAIYH7O2QJqE9jqwRABoekIhijQBFHf/SLuWu9m7XlBoDaCq+0Xz8pMq8PDgNh/fgbjn/yuNTihoaFcd911f8qAJBKJRPL/QFACtJRC0RoYcFngF/iW1yB9IgTF4h9wBXZNMLp9H+I2J+MZfjPGhF6/+TJ7HOFkjn0Yrc+CrGYvVGyFnT9/AyFASwUExR29A58HWf1BhNUPB0o9jH8ANIEinIKlCtY8hiYyhx4UgX0v5H8N1hoQBMQ+F5DoPsxZWge5hkz++30RV09SIgh+lhcvxx81mPgBFxO6/b3AupfWCkgcBgeXBK6dOi4wg/XzRIDWWhBAY2sK7DzzeTqPNyIbv0yBW2FE47cj37sYTn8Va6uPmo1Ont6r5rZRtyH77s72U8S0U3AFpbL4YiM9ooN+8zM+Wf3mNTgSiUQikZwwhTJQ0XrcPbDtDWgsCuTG6X4aaIPRa4Nh7C24B1yMTKlDr/l9MwuaoEgu+bqBN06JwdyyFAp+tsYlsgeCSgeOxqMHOI4W2rxgKNsc+Oz3wZHAQIjpg33yC+hCU6F8C1iqwd0G/S8JzKIoNQgbnido53yCgARjHNbhL6MJ9VNiDwQs39ZspiEkmytmvIxaEUWCWoMSJfrMU5F5HYihaciXXheYtUkcCm01ULYJLFUIurDAdvVNHSlcxP6XQEs5stUPoO5+Gr6csyjvfQNJS04jsu8VjMnI4Y31pYw+azQDz1oUWAOlC8NjikP/7hh6TXgANP1B3+93PeuTzXEFOOPGjePpp5+md+/eAKxdu5annnqKr7/++oQH4PP5ePTRR9m/fz9ut5trr71WypIskUgk/x+EpwV2RJljA8FDSApoOm9gURnDfnO3S3ZV8uS3h6hqcRCiV5EVbeSTCiPn974IdXQvhNKNiJHZCHEDEH98DuGM14/aj6WlmUoxhPSIbK5YHYzdK/DaqGbMKhHREMWyciU+WwynJo5BKweW3xJ43WaMRhx5C0JTRx4fWVsF002FvL6iAsO4OMRCESww4Jwz+PBgDJsL7OREifxnRCQ5+55Hl78UDFFwykOBhIcFPwRmvSY9ChpzIGFixTYYdw9b9hexaEMRz6YUgy4EXG0Iuz5AEGVYM69hz+Ql9PqgB3eOfwevP4pzFpWyYoqdzFW3AXRsxd/xHkT1/M3P+2R1zADn2muvpaKigsrKSubNmxdIsw00NDTgcDiOdepx+/LLL/F6vSxatIja2lqWL1/+h/QrkUgkkn8AlQ6icv6w7pbsquT2z/fh8AQyFDfa3KwvaGR9QSMPA/FB6YzMGMzcGDmJKy5FnPoMgjGqa0e2BpRVW0jf/zF1yliaNfF8PqoI3GJgDcugK5jQsp8qvxKZKREWngH2QK4d2qoRvr8HBl4eyMQMoNShsVbzyXsLeXHWp7xw/qc0WeHjLU1sKwmUrVhd4GZXlZ2vBg8hIX8phKZC+eZABmWAxgIo2wyTHgN1UGDmqHwL1KqgVgtN5sA5R8j2f0JGv4t4+5CX2OtKCHG28rJnGUXjp5JU1zX9C4358LOyEf90xwxwJk+ezFNPPQUEtod7PIF3fTqdjgsuuOAPGcD69evJyMjg8ssvRxRF7r777j+kX4lEIpH88+TVWFh3uB6Zz8PsmFoMFeuQaYMgZfRxBUJPfnuoPbg5mvIWB+naNmK8Vpwz56ONzjzqcf4d89GuCpQkundNMCUNKu6umUhWjIE5Z82h2BvJ/c++zftvv8b06VMZqHJzqCUEQYBXRjSjF6089Ml29uTG0KaN44xZs7Cv2U2LS+CdJ97m+wYzvYPcbDMMQ56/BlnFLhBktIWlUDh0Ol/uM1BR5KOx/HOqrGHc3tfCiGg3Kwp9fPjAgkDhT2UOz/fKA5UBe3Q2B2fOQy7IiIgbQPBX1+I3RuGUGbjQuAntZzfgD0rE2ucKsvLfR63RdL3pjEmBWbR/iWMGOFOmTGHKlCncfvvtXHbZZaSmph7r8P9p8eLFXbaXBwcHo1aref3119m2bRu33347H3744VHPz83NPaHr/xqn0/mn9X0yke7z30W6z3+X/w/3+b/u0a4wcenCA9hcXpZOdmNadFFH0jm1ibZZi6nwmI95jaqWo79dEBB5cZyaWKWV9KbFtKoupaFFhJau44kxyjFv6Mjie29/CzdtNKNQyLhvt4nMs7NoLN6BzW7H35iP1eFiaqaPu0PauHmjmXXValRyaPJpuPHZhXy2vYzWjU9xa+IePlXHoOh7Bp7l3+MXQWWtQazcjWfUdSDIUGx5j0MHAlu/VTKRtyaJbCiy8E6enhHRbkraFLx856U4g9N55vmXWZd8KorYaNSffUX3ki34VXosoSk0nvUhvhYr8vIdmFZcjzVhLLvDZ7Fjv5OYyLMY6N1K4shbAwu7XRZIGIzYbSq1LXaamyu7PJOj+St/ZrOyum7R/1+OGeAsWLCAiRMnkpWVxYYNG9iwoSPJkSAInH/++b/pYrNmzWLWrFmd2m688UZGjx6NIAgMHDiQkpKSXz3/99zg8cjNzf3T+j6ZSPf57yLd57/L/4f7/Pk9urweBARUio5fQx9vK6PF7mFyNxMpdR+BMaZjK7TLgrF+J1lDrjrmNWKCqqk8SpATY5AzzVwK+nDo/V8MQfGE/0of9qo8QOjSLgJDUkNJD1FgTklBr9dDUwkeUU7Q5Dth611E63y4fALlUROIjRzEs1ut3JQpMKxmT6APQUbZkeTNJQ02hvXwsS4kMbBDC+iZ0wPR1grdppAVEox3xCyiaufh9gfGExwSyrUvf0tu60pcTbWE9xrBkNYq5OXbYNV3yICghMHYx9zFAXMWA74cDcYovo77L7cvbyFQMMJCRkQU7+U0EtPvQojpC3s/RmjIJ6r32URFHeWV3VGc7D+zxwxwHnnkEdLT03nkkUe6fPd7Apyj6devH2vXrmXixInk5eURHR19wn1KJBKJ5OTUbLexv6wORUsFajyoIxNJCtKhD47G6fEzq3c4U7JCebzwEiJzrmBURjgyTzPhhZ+itVv4X4UVbpnYrdMaHACtUs4tU3Ogz+TjGmObOgLtgLkI65/uaJQp0IbGkYgbo9HE6tVrALBooml2+LnuQBo3j1xMXf1HeKKTCY5NYdf6TdRnZON3tXHpjmzevnEyfL2YczNl7P4RmmxurKpQYv11zBydRN8wL4ueeYU09x7yGkQEsw7Z1OeoHfUknoPvUDroRp5/YCGjbr6BUK/I3o8eQ+uxId/9YSC530/KNqNuKmJPvZoBchXVWRfz6CZrp3s8XGfnoDyDmB/vwjrzQww1+wJJBv1+kP3mHMAnpf85g5OZmcmCBQv+tAHMnj2be++9l9mzZyOKIvfff/+fdi2JRCKR/L3KKsrJzn2PkL2vg+jHHTOQpvFPopf56J8YRIjSw8UL8zBrFLx0RhrVFSXsaRA5ZJ3GxUNjiGi0khD664lmT+8TC9C+iyomSMstE7u1tx8Po9GEN3kMSqUmsKjXGwy5xcwY05/bnn6X888/nx49egBgUcfg8Yvsr3Vy8bdK5CUaxEYfj4zqi3fTLpRrn+fZdQ6uT2+FdU+Raormh0VvMTm7P+t2NjImKwrBmcCqZy7jR4WOfopDjE9vI6/BAK42ZCtuRZ05jwOOEAqTZtOo28CK5/6LXqOmVdRibW4O5MZB3ekeBLeNPIsc36CrcdsV2Fxd1yU5/AqqBt/DD43xnD97AWx7B46W+fkf6pgBzsCBAwH44osvOq3B2b17N59//nn79ydCpVLx6KOPnnA/EolEIjm56U0mtKWbCNnzanubqmorxr3vYxtyNZGyVq5aU4FSLvDlmWZiN1yGsnono0yxFAx5lLu+dXH7tHQSOHYm/dP7xP6mgOaXKpodlDlTGRYnQxmaTrTfx5sjE2gydefzz6Z1Oram1c7Em1/k6/2Bsgu+HoHvU8K0XH/VZSj9TgZ+PxPsTWCO4/0zdGD9gc8GzmXwiFGc3fAiCnEhVw4FRvwXftwOwLU5R2ZcWivoHerivNueYHtpM588eAmZeS+jbi2iPvUMiuNPY0B+MYPCv+g0Ll9YN84LUyHf9AMx2Wcwp2cIH+1ubP9eo5SRlJTK1ctEvIKFObFeVL3P+tfM3sD/CHBefPFFrFYrS5YswWaztb8+KigoYNeuXTzwwAN/ySAlEolE8s+nkMnRthzo0q4vXgHB0TSlzcLu9nF+TyMJa25A1nBkAaulkrSVl/H4aZ9x2PLrO6T+KBWNNqJkrVhtNmSKYFqNyayr9HNuYudkg06Pl62Vh7l+WDhNNicbii0Y1QrumhBHTtsGhJ3v4Rz6X0CACQ8G6kW5rdDnPNIFC7WONhT7FnZ0qOg8CwOAPpw8bX96JwQT5y4m+5sLwOsEIHznc2i9rRT3OYtErwP54RWgD8M3/iG2yEUG6JVQthFl8RquGvkU4UMy+SzPRWqolqtHJnDjknwKGpzcMkSFqq0cuk35E5/qX++YAY5MJmP+/PkIgsB3333X6btx48b9qQOTSCQSyb9La0szxshuXdq9sQNRHF6GvNtUrhweR399PbJf7s7xuYlv2YYnNoaSBhtJYfo/ZYx2t5ceqmpCl16IvKUUAEPCSMaOehK3z49S0THDUVRvp9R6iKnqCN7Qv0PFrMtQhycR5a9DU+eC6m1onFUw9FpY8wh4jix+PvAFydPfotnxi+zMh5fD4Ktgy6uB3WNKLYeHPsk5n9fT6qhi90xLe3AD4IrsQ0XwQA5bI9jR4yxCs8bjEmQMkqmId1lRK9sQB/0HYcNzhB98l6l95jE0MQljcAQypZIxWRF0q29mdg8dHNoPqf+uJLvHDHAuv/xyTjvtNC644AJuu+02srOzAVAqlURERPwlA5RIJBLJv4c/biDetIkoCr4NNBijkKWMgqXXY/J56B4dRmF5Iz2PUhBSZo4lzFFMucYA/DkBjsXuxLTvvfbgBkBdtg5z3Rb0qZ1z5tjdXvyiB1GpRxx8FemVPyJbdzWoDYjDb0SI6gVKLaK1FsHTeWeXqmwdYsq1+BOHIytdH2is3IloiIILvsJjbWJ1Uyh3r3HS6giUdmhwyQg6cr41YSzzw27m6e9a8YvVhOoNXDcllOcP3sDi4U+TuvwuOOMtvD1m440ewBf1Mdz1dTV+sYyesa3cMCGdc/pGkli6Htn3CyAsM1Ck0/wrNbn+gY75sk2pVBIXF8eqVatITk6murqaqqoqioqK/tSFxxKJRCL5dzJHpuCa+hL2c5dinfUJtjmfItsQyPZbTzg3fJrL41uclA3+xRKIHmdA8Tp0BhM6tfinjU/lc6Kr2tSlXVG7t0tbUqieIHkypToT2pqtyFY/DK3lUJeL8PnlMOJmnG4n4s+3nOvD2TFhMde1nMVjq2v4IOVJaie/HchA3OMMhLj+1Bzaynp6c8gbxfD0js3sq1ui8IcFZsByUy7myY2t+I88ikabm/fXejkz9QJ0qlDEUx6EoDiU0dns1g7m3pU1+EW4anQqscFarnh/Bxe8v4elqlOwGZJh/2JYcDo05P+hz/PvdFy1qB566KGjJt/7o7IZSyQSieT/D31wBAQH3gJ4fH5qRz1B5PLLaGpto8YSeAVz9e5Ebh71CVG+aqJCgwk6+D7s/wxl3AD0+j/vDYLeGIQ1eRKG+kOd2j2xg7ocG2ZUMzQuhxBfC/K9CyG8G/ScE6gTJVdTr4jgqaIoLktPJF2mAL+XgwMe4ZzlPlzeFgDuWd5G67hsrkkeh1D2I4eTzuXSjVC+JrBWqWecmUuHJ/P2+mKe2Gxj5kUvE9KwlSpfAtA5IV9BnYNHQkcT2VQIYemBkhKOVppsbjw+kZ5xZoobbCzfXwNAeZODh5YXEDnnKVS95xFbt46w+sPIwtL/+Af7Nziu5dJLly5lwoQJpKSkMG/ePHJycpg+ffqfPTaJRCKR/Msp5TKc8cP5bvhigrGiUwUS3u2rdXLRt14mrQynvMUF+d8DIFhrCLYcX6bd30OtUiDkzMKfODzQIAjYel6EM6ZrgAOQHmVCUGoRQ9IgZzasehDWPQWrH0a/+y38bgdP7NPTOPNj/FmnkkcyLq+/Ux9vbiijVhaKP7oPi0oNlDd3rLPZW9GKWiGjV6yRt0+PJmjPGxwIm4xTFdxlLN0i9aQfWozgsuBWhwQa7U3oVHIMagXD08L4/mBt+/EJITouHpbE3A93M+ODUmZu68Y2Rd8TfIInj+MKcGw2GzNmzGDo0KHEx8dz0UUXsX79+j97bBKJRCL5f6CqxcXl3zQhx8NtkzOR/eyNzn+HmkjPfzvwITwTLNW0WduO3tFP9n4Cz/aA+4IC/937yfEPpmIHuk1PIdMFw6h5+Cc+hnrQpUTFJv7qKUEh4YiDroBNL3WUlgB0uZ9yZryFVYcbWefJ5G75zQj6EISmUpQrH0d+YCkAWpUchc+JM3kCmypcXfpvbLPzQdoaRqoOQf+Lyauz89muKq4ZnYLM0Yys+gChehWZhYtwbJ6PLbQ7yqDArmenX2Dh1nJuGJ+O3e0j0tRRg+qMvrE8/d1hLA5v4Nabndz8+UEKqxq47bbbWLdu3fE/t5PQcb2iio+PZ8GCBcyYMYO33noLpVKJy9X1H0EikUgkkt/K42gF4IM8H0O7a3nwtB7UtjkZlqClR8sqNC0aGHQFqIywcwH7Ii5gkKUJnSmka2d7P4Gvr+vYsdRaHvgM0HP2/x5M5Q6Eg0sCf8/9GhkgG3wVRGWBXPnr5/l94Gju0mzwteLzh1BSb2N8jxg8Pj/G1kKsyUPxp44A4ILBiThU9YTZKpicFE5udec+hsUqMP7wIr7Jj9HkN9EtOojdy8qxOr1ckmKjoaSKWwZpiCovIS/rdUptZoYciRJtchMyoYEXVxVw1oB4rh+fzrzP9iKK4PGLeP2d1zNVNDtpbbPQYnf/72d1kjuuAOeWW25hwYIFjBs3jhdeeIHKysouNaUkEolEIvk90nxFxAer2Vvr49SeTvKcHvZXWgjWKUmN7oW66RCKvK/xByWxfdjrlFj89PX8yi/gHx7oCG5+4nEE2o8nwKnY0qXp86XfsfarRpw+gbKyMubOncvMmTM5ePAgDz74IHK5HJXfwUN9e+KvOcDNG81E6XyU25QEV65FE3UG3WNNXLdwF+76YoxlWwmVK8jKSeXg8gWsjn+IpZ5oxjRuJVh1mL7Knuxb+w3I5AT7WzkkZOCNS6Gwro27H72LequbZJ0RRdCFfPjJh+jlPvr06cPrHytpzKzj/QujuOKKK7BaWmlzehl75kWsdMl4594rMcZ3I9ndgEImI2PmoyD6UexajOBoAbcNZWw2LsVA5P5/foBzzFdUjz76KI8++iibN28mPT2dF154gaFDhzJ27FjU6qMkJJJIJBKJ5DeKPrSAtwc3MK2bnu7rr2FIcjA6lZz7v86l/xtVXFs7leLpn7I440lu3+BneLwSUdN1DQoArRW/rf2Xonp2bQtJwerw8Prrr/Pqq6/yxhtvAHDXXXdxzz338MEHH3D61Ak8diAaYvtQ0qbg4QkGPnn1MfLyDvPs9BQWbi2nzeXFZYqnOaI39qThjBg1ljanh0M1bczrJ0NmqSBUp+KWxAJSlc188/hcvn32GhYtW0fb5Ed5evF2hp0yneI+V1Nk7EmQp54zz70QX3xf7j0YRr3Nx6WDovhu4esMHTqUubc/zNS5t7Pk1Yf5ZKIXs9zNqWMG8+xj95EcG0Hx3i2c3cOAPyQRz7ArEEdfh6p0E48sy8OLHJz/41XgSe6YMzjz58//1e8EQeDOO+/8wwckkUgkkv9f/Knjyfj6CtLCsmDQXErqWli6t+M9zfK8VoqafTx5airvnhpMs2DGpO1cdrPN6cZq9xBujEXRdpRg5njzu8QNgsRhULoh8DksHVT9yDQGFj9HR0fjdgdmN+rq6tqraQ8YNYWX35gPM6aTkPgDhnEXYFXoCAo1oFV4Kaq3dbqMw+On1uoiVK9kwaDDpLnb2FaXB80/ItP7yJTpSNXZkdsb0agUaLRhFJbXED0hBbDjienNOgtEleylR4yZWXN68s5hLdMsH/NMjY0h05K5+tN8vrkggW8UXhJ85eiVAmcPzyS+dBERkRF8vbscfWokvfQWXOVfEhpkYq/PQ0akkcaDUNdQd3zP7CR1zADnhx9++KvGIZFIJJL/p5wJo9AOvwnZ5ldg/6c4s8Z2OeZwnRWzWmDBQQ0XDI1EdmSNSV5ZDWsKWlh2sIHMKCOz06+jz557kPs6diKh1MK4e45vMImD4ZSHoaUU/F4IToatpQiWoi6HRkREkJeXR2ZmJgfyDpOY0YPWkJ74xNW0hvWkyB+Lx++nzdbKKd0jeWt9cafzu0eb+EaQQ/k2xMye5FW1kXpkLbOAiGztY5AwJPCKrWAd6XHhqC1VaJWh+Eq24XXaqFNqMLvtTCp5kk+sxciybsNccZDVW/fg9KagaCyg1eljh3YItbYPmPhRLWO6TSHC9z3FTQ6o/R6Z080tt9zG0o17cDiWsr2kiQQRbII+cG2l9vie3UnmmAFObOzvL1YmkUgkEsnx0Icn4h19J67us7B7INHedfXE6GQDJlsxt0wegloRmE2pa2zh6331qDQaRmaEI4pwd24W/0m8jYk1b6CxVwdmbsbdc3zrb34S2yfw5ydbS4962EMPPcSDDz6IKIrI5XIeeeQRBEHAI9NgTupDL7+I4FNx7SeFXDqxHxOzo/j+YA1KuYwRmRHsrWghqN9U5i5eQWrIakyqztvHhbbqQHAh+tH+cCfzZj3ATe8uIcLhR6FUM+Him/l03T7cO97l28ZJ+I1x+JBz+YxR3PP8fLpbVnH9xiIuu/I6rvyqGsWRHV6rC1pIrmxlYvd0QhLSWTf/KV666xocfjkYwimtrKamqJFR43RYXH5Mx1hbfTITRFH881JC/oF27NhBv379/pS+c3Nz26cZ/82k+/x3ke7z3+X/w33+/B4PVNWBtQW1zI/KGEyUUYlKF9gVVVeay7d5zTyy3oLD4yMnWsfT/ZqJMGoI6tVREHJ/SRWf7Wvm3Q0lAGiVcm6fnEmby4tWKefsdA+iz48uJA40x65A/mfcZ0tLK2e8tZPCBjsA/RKDGZIaSna0iUeW51Le5EAuE1hycXcS/PmYF83qtM2cXmdD5Y5AkU7AnzKWs+y3srWkCYBgnZJ3ZsTQ5+uJgRpVkx6FlQ9A3/Px+f2IObORb32NDSk3cNnnZTg9nQOo5+b04oaP93D9uDSe/6Ggy328PKcHMSFG+iQeZbcaJ//P7HHtopJIJBKJ5I9yqLQMQ+mPJO56ElwWGnrOpTn7dMx+LxpDBFp9ENNVPzBihByb3Ehc0wrUB/KwTnmpUz/NToF3N5QwZ3AQ8ZEt6NUC+BrJMMfS0tqMdsE0cNtw9L8KZ/YcguO6Fvr8M7m8PprsnvbPO0qb2VHazH9PSafJ5mZYWjCXjFXwQ8MKYvTBTJjxGuY1jyOz1uLvcSYylb49uAGwG5Kor+tI0dJs97ClXoFy1Otkb7wRLFUIo+ZRq0tFMMdS4QrnA+clVGxp5T+jUtlf2crK3MC6mgijmryaNmQCBGlV9Iozs6eitdP4fcgJpg04eoBzspMCHIlEIpH8ZVrtNtR1B0hcdVV7W9jmx2jTGhAzJ4IhAmNYNDWpk5BV7iWibgdt4X2w9/sP0XEZnfqqsXq4eJSZOsWnaBWncqBEjQw3CT08dIsyga0BAO2mp/FqwyA2A4SOLIJ1FifVrU70ajmxQTq0R7Io/yH36XBzqMHDBQOjeX5NWXu7XCZgDqrlvjP8BBv83LR+Ln4xMLPyujaCB6c8SEH9PnoYk+i7dF5Hh2oj+TGnUry182LlNksLG1SheIc8T457Dwtt/XjqByu3nmLi/qV72rMmby1p5qrRqewsa6HF7ub2iaks3lXLvEmZbChsIDlMz/ReMby7oYTKFgcTukeysaiRkeH/zPU3IAU4EolEIvkLefwi5pquxSyN++bTmj2dn36dRiWk4QyJotk1FqNChtls6nJOsE5FSEglCfIZPPS5FZ8/8Cro8+3NzL+4c8kB44EPaco6g5DwSERR5Mf8Bh5aepBHJsehsTbQUGkBUwwhkfHoDV2v9VvIZDJW59Vzw8e7effsblw9Np5Pt9cRZlBy5hAlHxU/zL29ruSdggXtwQ1AnaOOTc2H+KLkG7JDe3D7rDeR1exHFP1oo8fQ7Irh+nFWBAFyq9v49kANI0Ja0fra+Kwmkbbu5+Jo8PDE7BBqGzxdSkIs2VXJc2dmYVKKfLW/njHdwnl4WV7790v3VvPM7F6UNNo5WG2hyWJH5fcHXpv9LDD8p5ACHIlEIpH8ZcIMBlpNkV2/0Ecgt9RCWFJ7k8ZgIPoYS2dCdCpMfj8bdinw/Swjr9cv8vWeKoaFZbS/4nGY0xCOZCIuarBRUXKYL2doUdStQelogOZiKFpD/ZS30GcNP6F7lKk0vL6iEICLFx5i3Y3pZMZ6WV27ircK1nJp8nQSdEk0OZu6nGt3+7k89SUig5qoadiHHj8NhhC0QhKPLN9PwZHt5kNTQ/nwnHT6bLiCxpxLqbULbK2qB+MO6hwp+Eju0rdCLiPbYCfk6wvRjnmdu9fWdvre6xdZX9CI1+cnJ8aM1eXm22oFObIa0kKDQPvPms2RAhyJRCKR/KWE5KGI2yIRrEd+wcqVkDUNxdZXaAnLJsh0fAuCTRqBFFkaq72eLt/Z3D6QH8mVo9Lj7H8FwSGBtSRuazNzwkuRL7wF3NbAMXH9odtkglbPozHoI0Kjf7321P8kgk4pJ0Sv4oIhiSzPkzMmMZPYWCMXRk8iv1rN3sNNnB89nLuaO1ctTzP0J8kQRNbulwjatxgAf0x/7osc1B7cAGwsbOSMJBfqlgLaDMlM7hGFQ7mXMbo+KBvyqQiJw6hW0Obytp9zU38lIaXLEOwNJDSsQ0YffilIK2dkkgk3Cj7e2cKra2vpG2/k+RnpxEsBjkQikUgkv07m9yOOvRvBUhHINaPUw8aXkEf2RCY/rhrQAITroNEVxKl9faw51LkO1PRe4TTar0fwuvGGd0cV2jGjkSBrQL7zvY7gBqBiO6RNQFl/AJWzAdxhoNL/rvvzuR1cMzadkkYbT6w4hMPjY3GEgYuHJrGpqAFEmDfEjHFfHvdnXcK7laswKHRclnEu3VUhhDr2ojoS3AA4TMlsLmrscp1djQomzVlMYVssK3OrCdLGkBlVR++NDxBqjGDRaY+yosRPlU1gaoKLgUXPIrhqIW4w2vylzO09hM0lHf0pZAIRJi3nvX8AgP+MTOK03jF8ubuKkkYHsexDFpPzu57J30EKcCQSiUTyl5IpdbiVZjRrrwUEOLIOxT3xWfzC8f9aMpuCCbPZ2e1bxdNnDeDTbU0IgkhS0i4e2/80Dc4GovRRXB95PVODO9bkaGQ+aMzv2qHLgj8iB03DXmyiB33KYAB8Ph+XX345drud1157DbPZfMxxiaJI38QgXl1bgMPjA6CgzsqdS/bz/qx4Sld/yOGWi1A2ReP58iU+nDEFefxg9M2VePR+5M7OwYyu+RAj0sM5XGvt1D4wOYQNbVquWrgXob4AefFGPhlyEYsnPkGvDVeR3fgt2SWLQRMEa/JA9OPvexHEDUS29DoG9y5iwdQwPi5So9eoGd4tilqLi2vGpqFWyDhc08b4rAj2V7bi9flYv2Yly/a8z2OPP3Hc/0Z/hPr6el5++WXuu+++33SeFOBIJBKJ5C+li83C5XPgnLkA5d4PQPTj6nMJqrYyZJZi0B3/dm6l0szY2P7sbNrHiH5NNDkb+KLwc9xHikVW26q5b+N9AExNmQqAPDQNMW0Cwt6PO3emj8Az9h7Ui8/DNuXV9ub6+nqam5v5/PPPj3tcLq+fgjpbl/bDNa288/7nvDpoOCG9h5AxeAIKfwu6L+eC24oS8E99ptM5Qt1+Jow2sKM0iN3lLQDM6G5kgHsHV21LaD9OLhPokxjEQZ+KXgo1IASCm7qDgQMMkciietAWnIVxzJ3o/RZGymoZGd9CZeQY5pdaeGNdR8bmsZkRKOUysqJNFFtE1ESAq2u+nD9beHj4bw5uQApwJBKJRPI3UCf0xV/Yimz4TbiVBpROC8ofH0fmdUDU8Qc4CWEG3N5uiMQQqldz1vJT24Obnzh9Tp7f+Xx7gIMuCGHQf8DeCAUrQaXHP+IWMMWh/uIy8LloVUUhc3gwaZXcfffdlJSUcM899xAeHk5YWBhnn302hYWF3Hfffbz//vtMnz6dgQMHcujQIex2O2+/8y7TekTy0RvPITSXgd+HL3MSBWtraHULLH79ScxDL6CspIRnMnfyzh4/35SFohBE+ue/xM3XPs7LzzxORauPRtFE+brzmX7+Vdw73cz2TetZ8/4ybhZklHijodd59I4Pwu0wIIqwvkqk2/A3cS++kreqMlDKR1NRXcuUYT2Zi4La3I3c+MQLuHygVim55ZGX8SuCmT9/AcrSHSAI+ON6s4qRDAp18+0L9/OtQoVep2NYZjQAt912G3l5ecjlci699FKmTOlIwFhRUcGVV15JUFAQI0eOZOTIkTz00EMABAUF8cgjj3Dw4EFee+01ZDIZ9fX1zJkzh3PPPZetW7fy0kuBfEdOp5PHH38cpVLJTTfdxCeffMK0adNISkpCpVLxzDOdA8FfkgIciUQikfwtnDIDlG6iwaNBLhMIGXEbCkcDMrcdr1yDpbkerb0GrcGEENJ1V9BPVAoZGZGB10a19pqjHlNj+0V7bF+YvQBvYykuazP6VXdA9W5QaKgd9QRrm0M548hyoHvvvZebbrqJBx54gBdffPGo/dtsNqZOncrdd9/N3Llz2bhhPd38fqK1Pip634jeZ2eQYzN3Zpaw7luRqfPe5PzHFtLf0EZh3kGWl2tYNKERhQDXrvezZGsph+NnoQuv562xMjas/Ia3vnqTa4aWsWWLlbcG2dBqNFxc0oetzfmkpmWyZF0b3uLAzqyVuTLuG3A3VS89zlcPX4y7pYIRdy/jSvnHPF88jvMzbIyKcbOpRsVjb3/B9DPPxl+2C8+oawFQrn8Nf0QmKz7+AmWvqbhD02nLW0mL04vVamXLli08+uijZGRksGHDhi7Po76+ns8++wyVSsXs2bN55JFHSEtLY/Hixbz11lsMHTqU2tpalixZgt/vZ/r06UyaNIn8/HyefPJJIiMjee2111ixYgXTp09v79dut3PVVVfRvXv3X/15+IkU4EgkEonkr+d20djUwPt1fXlvVxsqhYybBumZ0i0ard1JcX09lsZa4uOU1DUexGStIMWchNocf8xuo/RRVNuqj9rehUqPIro7hyqaUY19HZWtCo8qiBIximhBhl7924ow/fRLNywsDJfLha2xgQunjWHM9FHIHE3EbfgK5aFViOpUnlpbQ2KoDgVucrX96BW6BeWRgKp/uJvCJhf7mmT0jE2B4gVEad14mysgcxqhez5i3uYg9Ao/bc6tXDx7IJ/mN3Qai8vrJ7/BTVpqChWGbKLURjSyrwAoqGzkdU8Ib+W6ERUa7OGtFJRWonK3wPojr+bcdrTuZpqqS5l15RWYzSbKYhzU7V2DwWDg7rvv5pVXXkEQBE499dQuzyIuLg6VKrCLrbCwkPvvvx8Aj8dDcnIgWO3Tp0/7Menp6ZSVlREZGcnDDz+MTqejtraWvn37dun7p/P/FynAkUgkEslfztFczso6E29sbwHA7fPzwLpW4sKDiVWLXPVpAS+do+LiDbdiVGi5MWk6IZZqglvKURljIeTo27iv73s99228D+fPqolr5Bqu73v9r47F7hGxuWT0DDLiFBS8tqWGy0elH/VYtVpNfX09AAcOHOj0nfCLZHgpKSmsWLGCyy65iLY2kbkrBF56ZCu+5Rcya1Aym215FBc14so5iz3rCvH625CrdGwUe2DXl6I0WYmNGgWDb0f8/i3wVtMiM/HCoSjWnN4EulAuXh1CVP0m5LKBXQerMSHqwzGpQd5YAQjU9bmO0Nz9XH7eXIaEOyira+OrIohOTCItLQ3ThGvYXNxERPUmrjp7LA89vIkF36xFjMwirGonvYwK6urqOHDgALfffjspKSmMGjWK0047DYWiI6SQyTp2wyUnJ/P4448TExPDjh072p9fbm4uPp8Pt9tNQUEBiYmJXHnllaxcuRKDwcC8efM4WrnMn/d9LFKAI5FIJJK/nFVmZPHhrjMta0ud6OtreOTUKB7bfQ8GhY6Hs+5nd6mDbTYYGm6jr/ZH9EkuiMjocv5P62ye3/k8NbaawC6qvtd3rL/5BafHR29ZAYq81xHylqIJiufJUbdzwBYOGLscP3nyZG644Qa2bdtGjx49jnmP48aNY9OmTZx99tn4fD6uvvpq8t1BtKnDuPP2efjDMwgTnRRoeyD2OI3Zu7dh8bTRGtWCI7waX56PL0q/4qJT7sU29Bpcuz5hQ1IWmT1ymfF9EToFmHyltOUWceboIby8q+PaepUcD3I8bY2YtCoUIfF4VSbmHB5NcUQ6W574hMwQGeqmPCbf+ByPbWqjV1IP9n34IOEykfj0LF7cVI8jZybKrQsgfw0tKj22lHDCw8Opr6/nxhtvJCQkhEsuuaRTcPNL9913H/PmzcPnC+woe/jhh6mrq8Pr9TJ37lxaWlq48sorCQkJ4bTTTmP27NmYTCbCwsKoq6s75jM+FqmaOCd/RdQ/inSf/y7Sff67/H+4z5/f48qDlSzdXc2SvZ2z6d41KY3P9tTy2OlGzltzAS8PfJPbllipau0oMvnMhCBmxlmg2+QTHpOtpR7dtzcj5H7Z0SiT4z9nMbK0cb+rz1/7t8yvqOfl9RUs2V3Vqf3KUaks2FTCcxeZuOnHK7qc98bIT9hY6GJjvp2ceCUX9w4m/ouzkTV2FOK0pk5lZdbDLM9twqxVkhKu59U1hbwzrJk+ugY8bhc3lQ3hm4Md2ZMXnh7EkKIXuUd/Fws2lXLeoAQOVlvYWdbCFSNTeG9jSZdyD4/O7MHZAxOPeZ/HY8uWLSxatIhnn332d51/PI4/o5JEIpFIJH8Qm8PD+O5RGNQd/+cfF6RhSJyS4WkhNFp1dA/KpNYa2Sm4AXhss4N6WcQfMg61rRwh7+vOjX4fQuMfux26tKqOgw1ucqvbunxX2eIg1KBGp9Ai0Pk119CoMby5tpUXV1ayo7SZ99bXcfniMmzTX8OTMAIAb0QP/AOv5IHl+ZQ02FifX89jy/NwenwECzZkEVm0aaLZUNJx7ZlZOnrYt+KP7kmzLbDr7IMtZSSG6rlxfDopYXpm9Y/uNBaVXEZy2D8nbJBeUUkkEonkL5cRpub2rwu4ZHgSaoUMvwi9w2WkyevomxjHitwaHhjxKD/k+rqca3N58fp84HWDQnVC4xAVBjBEQNsvdlmpj53M77c6WOegptXLwOQQDtV2BBpxwVr6JQahkEG4KpY5GbNZdLgjP8/EmPP475p6pnQz0i9CxtpKH+uKrKxui2N30L1M66ckv1VGW62OCwd7efaHwvZz7xtpIontsPJdTOMfYnCcwIrDgbIWZye04hDVKBIGckeUB7nXxJe5Fr7YVQnAIzPT0Ydv4dyhPflhv52YYAWnDlCgU1QCx17ofTwGDRrEoEGDTrifY5ECHIlEIpH85bK0Fh6YnEJBnQVLWytZQT666RQgyEnQCfwnW8BTks/02BgWh2qobHGjVshoc3k5b3ACupadIPYATizAUUZmII67F+HLqwJVswExpg+e8OwT7Lkzl8eLw+NDp5IzNjOQHXjuiBRKGm0crGpjas8YPttRT2rYJJ4e3p9KexXdgwdgs6v5ZHobOQcfQ717J2fFjWT71Kuxy+S8s7WOd7YG+v/g0oGk2nYy7Pw06ixO4tQOMnyHkBUchJq9eKv2cV3/Qeyv81LR4iA6KgZlyX60H52OVq7i9uEPMqPPaH4sdZIQoqV/hIWXNs7HoDIyfthYmlzVfFNZxuSkp/7Ap/LnkgIciUQikfz1lBp6uncRo/TgTE3FZC3FVLaflrSZBNduIeaHa8BtA5WeZZOf51NHX0qbXPSMM5MSoqSgtQ/9lLo/ZizdT8evD4OGQgSNGU9kDqo/sOaSq7WBmBAjz60+wIXDkmi2u7l3endu/HgPbl9gjcvH28t54aw+PPxNNa+NkZFjjOWdshXMDB9E1vq5gaSEgL74W4a3lVB7+kft/Q9MCsbt9VNu8TPQPh9fyXrklnJwNLcHba3oOWgP4qlpQfgFGSZPHqYtT4IuhM3D3uHmH0UqW3JJDNHx9HgjGStv49Xht/BEwSd8U7qIYZH9eHjAHUSGpfxhz+XPJgU4EolEIvnrCXJ8lhrCghKoVek5IKSjju5OolwgZu0tFA28n31CBk6/jO5tDWRo6rh7fWCB7JNn9CArIuyPG4pKh5B+ChzZGf6HzdyIIra6EnKdZmrbXNx/WjZL91YzICmIXeUt7cHNTxZtK+PtU0Pp8eUktl3wA0EtQdjKK9qDm5/IGw5hdNRy55QsHB4vPWLNKGQCz+xT83yvTOQDBhG29ML24MZvjKVK350cjY20jbfgH3Yjnvr9AJT2/i9zv3O3Vx0vbbJzxTdevj7zIXodeJvX/EraxrxE8KbXUAqaP+rJ/CWkAEcikUgkf72gOLzGZAoUSVy+sITSpkDemsndQ7lm8qdc8lU9fjzkxJp5tyWE+yZEYNC0YnX6eGF1IQvOP/YW7ZNCxQ52OBK5duF2Wh2BtS9XjEwmIUTP1pKWLod7fH5ihXrwOrG7TDy1rJT3JhxllkomR64xMHdkYDZlx4HDRNsKkSuDuXRnIndNSKR03MdEWw/gVhjZI2QQaYojffmp0P9SvrF3Z6SxDR1QIUS3Bzc/abS5qbDLiLE3YAzPxliyBW9kbxSR/6xdflKAI5FIJJK/hRASyzuratqDG4DlBxsZlpbF9F5qPH6RbcVNZESaKLEpuWtKFs12D6tya/H6T/4MJ2XqNF5dnsv9wzX0DAKnT4YrLIQv9lWTEWlEJsDPb2POgHj83nUA1FtERBEWFWvplXk2QXkL24/zDb6WYl8Y2Uc+Z6vrKVOlMiXLR7NLpMWrwm/uQYEqExk+wk16YqqWI2sqYG/YJG5/P495Q2M5N2kMwUo3MkHdaRxKuUCw0geFq6DPBbRZmnAnjyJUJv/zH9ofSApwJBKJRPK3sLp9bKxwdWkvanSQEWmkxuJkQvdIvH6RV9YUcPnIFB5fcYgHT+tBsOEP3K5csQ3qcsHngfBMSBgCx5kt91gsbnh0sJek5k2wZxXowmgIuo5ecTE02tw8NasXX+6uwuX1MTk7iliDgEsZhZg1Hb0q8Ot5eb6NsJw5zB49nhBfPeERMbg1odz8RQHvnKdF6bFS4wnhok9LaTyy3VsQ4Okzc5hmKmC9LZ5++gbkWhm2U56h1qXC4fFx39pWKvrezI0JGuYN9/Doj83t4757QiLJzd8C4HK7yY0+nWyN44Sfx19NCnAkEolE8rcwquSMTVQzv6nzL8/sGBPPfZ9PeUugPVin5IpRqTTZAq95Xl5dQJ/4voT9ETu5SzfBl1eBxgz6cNj4Akx7DlLHnHDXSQY3usLNsPoRUJsgbQIlYgQN1sCaFwE4d3A8S3ZWMj2qCfPGh5GXbUJMGEp/cxtz+sfz8fZy3t9n5+ODel6fFEHsN+cjC05lUPT9NDl8RPhaWVulag9uILD0Zv6mMrLGR5IQEYwxPhzis8HZRlRxOQa1AqvLyycH7Vxq3sb5VT8wcNKlVLt1xKpsZFjfR9GcD4IMuykFPE7q25zo/7hlT38JKcCRSCQSyd9CdFs5v28oO2vc7Ku2A3BOv0iA9uAGoNnuIbfaQt+EIACabG6cfht+twaZSntig6jcCQMuhZINYKmE7qdD3UGIGwTqE9ulpXM1IqvYCuPvA4WWYkMf3t/Vwpc/y2R8+5QMrh8VR8jisYHrA0LhSkIbCrj49K+Zna2lueIwifJ6Uvc8QGvqqch8TqbFOQg36ais0tBkd3e5dpPdjVPQEaX92UxUSwk9Vl/BI6d+yB1fHUavVqC216GrXE+fyvX0+em4iO4Q05eicW9Q5IwhLkSH1XXyvxL8JSnAkUgkEsnfQtZcTNqqB5g/+VVKPfGoFHJ0OgOPr+tcvqFfrIbzEltI1VYx5LxIvqtT4hRrcViV6ENOMMDRBsPy/wa2pANU74GBl4PHdsIBDoiQOAxW3gtj76LEY+bL3YWdjnh+ZSF9LuneHtz8RNZagq1iP700dSg2XE9zj0v5qOdbvL21Hq1S4PrMRJIAi19JhEmGILRvmgLg3EEJROhkRIeFdjTKVQgNeUzfch7JM56jVR6E3t8f9vxi2Dmz8BuiEDSpONwCB6ttpEfqT/BZ/PX+OTmXJRKJRPKv4hNFaC0jZNFU+nw2guyPh1Jd30hWtKn9mEFxWl5O286A72YQsuQcMpZM4byQEoI0wWi0JxjcAHgdHcHNT3Z9APamox//G4heF2x57ch1nDg8XWdB7G4fNbbGQDblnxMERKUOoakIf8+zWBZzNXctK6G4wcbBaitXLDrAvioLJqOJjQX13DEli5xYM/EhWq4ancrw5CAi196KraG8o8/gFPyDr0Wo20/OkvEM/3YKKtEDEx6E4CTQh8Hgq6DuALIvrySxcikquciB6lbW5Tec8PP4q0kBjkQikUj+FvagbqAydGqLNggU1lu5cGgSGqWMq3t4iNrySMf0hNdF0Hc3EOu0I/9ZscnfTaE+etvR2n8jQfQHku0JAqj0pMur0Sg7/9pNDddR687DM/DqTu2NPS/nhT1QqkyiuO/tfLyza+X11YcbSA3TcNGwZPJrLHSPNnHZsGROSTfS4/2eKIpXIzp/VvtKoUQ27BocM+bjGXgl9hF3YgnugZh+CuLwmyDrNDi4BPZ9CoDswOd0M3o4VN3Giv21tDk9J/xM/krSKyqJRCKR/C2Ck3rRNvtTVJueR92Uh7P7bOKCtcxKt/PMlhYuGppET/NRghh7EzpXPej/gFXG0b3AGNW5FtXIWyEk6YS6dVjbaBDDiJ3yNLLmIlzmFMK8Np6Znc5jyyspa3LSM17PzCEeBLkSmasNxt4Fbjt+XSiH5X1Zt6WZpdGZ9HVrMWuVXa4RpFMhl8kZlWwiWePA3lxJZOMqwhY+Cl4nrqQxyLVBnU/Sh6PtdTpViRNpbW2hm2UzwuFdoA2B7W8HArseZ4LXheix89bWei7sH8ayw21oFXLcHg+WxhrkahOyP2Cn2Z9JCnAkEolE8rcxpg3BHtOTVocVU0gEYsFqhpr9pJ0SSqPDjtyUAKPmgegDpwV2fwjaYNSF3yJG9UAwJYDxBLb3ROXA2R9DwUpoLoH0CZA86oTvq9bqIrrwU2RrHgBADbiyzye8ZyxXTnZQb2+j2LqeSlcQZxqGI99waeBEmRyZ30fPsY/wztmTSA43UNwKY7qFs6mwsT3/j1GtYGhKCHk1bfRLDiNM40dW/S36bS+C6McflIR31J3oQ2OOOr6YIC0x9jzQmqnQpFMVdQr6c6eRZduObPvboNDAoMtp3upBpxQ4a2ACrVWHUe+ZT1j5Oly6CMKH3ILH50cpPzkDHSnAkUgkEsnfSqfTgy6wiNWv1uFf+zTRxavRX7ASvb0cHC2wfzHI1TDhAfD74If7EbTB+EPTkf2PAKehqZl91a00+ZowaZSkmyJJivrZmpeY3oE/f9T9GIyorBWof3ysU7vpwPu4QyexKNfIqOwgkpWJDI1OR1/7Y+AAtYnGPlfhMiQQYi+kZ48wwkLMWLyNyAUDz87pRX6tFa9fpGecmWR5LbXyaACMUSk4R9yApdtURJcVeXA8huiMYw/UbeOQJoddmjQ2b6/i7pQCZMuuaP9aKP2R52d/RLXSRGhEBOV1Lsq6n0Z98lCi9dEk2Vrxle0nPLnnH/bs/khSgCORSCSSk4bP48afdTrKfudj2PEysv2fgi40sPg192vYMR8isgILg902bB5orLeSFG44an9er481pRXsaP2SFWWfgQCnJ5/DGcygR1QatFZCzZ7A7FB4ZmBG5wQy9u4rb+K9DbU8MMgPvq7bt9V+O3vKBfaUw2Ujkrl+0T6GpCRz64hH2GQ8hcd/KKPJ7mZWvxxmW32oNQ7Kmp088HUu9VYXoXoV145NI1wD4U078aec0d63xhiCxjioyzXr6utpsNjQKuXERUaiVAeqbYmaEPaUO3j620M8NzGEkL1vdz5RFJEfXkb8gLmUWFtZVr+JWns9EZoElpV+xujYCUyXR/7uZ/VnkwIciUQikZwc7M34zQkoLZWQ+yWyI4tdsdXDqodg3D3wwwPQ4wxccUOpzjiPJsKoqK7D4xdJjzR26bK8roky506Wln4caBDh08IFdAtJpYdGA4svgsptge9kcjhnMaSN+13Db7W5WLilhDmDklnZ0MD4fleg3/VWYMYJQBOEPjSOM3ur6ZscRovDQ2WLgy3FfgpypnH9/P3tfb2/uRyFTM55A2N5fEUe9dZAxudGm5v7lx7kzfP6IAanYDrK2pyfO1RSzl3LitlW1oZBreDuU6yMTTURHhWLxeHigy1NvD/GTubBl0B5lIXVSh1oQ6ixNhMk9OKr7Q7KmpyM6nYZvoh6SmUCJ2uIIwU4EolEIvn7layHzS+jShiBzFoNh7/reozLChHdKY2awHPF/flyeSvBuiKuGhdJXJAC6BrgaDRq9rSs6tK+oXots6P60po6nfx+T2L3iqRqLMSvewxi+oAu5DffQm1TC+cMSWFVXj3f7K3hI+3pXDt5DoO23YhSpYQeZ5K17j/cmX0hU1f1Jsqs5YIhCZwXXszGkvIu/X21p4ozeoYSadIyq38CXp8fj8/PR1vKsDnd7FQl0sNlBc3Rx9rU3MQzq8vYVtbG5Awjpye48DsqabIpCW6txWep5oz0YDI33wrWOjjlQShe27FjTaGGtPEctOlxOj08/EV5+xqgVbmtuH1h9IoSfvNz+qtIAY5EIpFI/l41+wIzKbZ6fGmTkbWUQVA81B7ofJxKj3foDbyzo4UvDrQCgRmNB78q59ULOifl219Yxre5jbgEJd1Cs9lZt7PT9+nB6TTYvNxZ0pfvDwcyCwfrlCyY9Rw5Hjvw2wMcpUrLlsJGnvm+Y+fXtlL4ZM7zpFi2UWILQp1zO2pjMPVWF1WtTm4YFkra2vvJy366S39RZg0amZe0cD3PHunTrFVy44QM4g0i68ssZESY+bV0hG1WO98fbuGe4XrmNL2Cfv1yADyOueT3uhaXKpWRsS2w6cgOsu3vBnLi1OUi6kIgaSRP5wWTk+KizSV0KXC6/rCFm8b/j3U+f6OTc+mzRCKRSP7/qMsLvIYCFIdX4FSaoM95IP/Z65eYPmCKoaG2ki9yrV26KK53gLURgLyiUs5ekMuL66t448dSgn1DCdOGd3Slj2FI9CB21fo43OjlyUmR/HdkBHa3j2c31OOQ/77t51a3j/mbyzq1+UWoJ4QLd6Uz83s9U78z8UpRBJN7HFkcLDiRNRfR27uHtLCOV0QKmcClw5OptHj5eHtFe3urw8PCLWWEG1To1CJBxqOvPQLQqBT0TzAxUb4NfVEguPEbYlhjPo3Zb+dx+vwC9rWqEYOTAyc0FsB3d0HJj/hTx/N2bSqvba4nPKSVMJPAC2f35o7Jmdw4Pp34EC0hehUyjv2K7O8kzeBIJBKJ5O+lOlIGoOcchJAUFFF98dfuRTbuvsB3trpAnpolV6LPnENicF/2VXs7dRFq0EBrBRhC2VXeSpur4/vnlrdx3cTHSIppxCd6SDAm0CuiF4XNu/mh/1YUuxYgakO5bPZN3LTTTFtjFVqvLjCL9BsoZSJmTecFyukRBn4sam2vtQXw+a5qbhyfjlwm4FSHYU+bSsLm+3h34F3sV/XGLipJiItHp9eyq8LS5TqH66yU2lX0iFEes+p5ZGQU903yErvqgfa2kt43ce33VpwePwC3rqgmddpTZK+/OvCMlVrodQ67GuS8t7GUN87vQ1m9ldxKB2/8eABRDARfN03IINnoJ0QnBTgSiUQikRxdWCaMuQscTSBToChfD2HdwN4ImiBEhRph65sAGF213DslnbXFVmSCwLJ91aiVkBpmgNY8iO2FS+j8S9fl9bNwo5X3LxhAcnRgS7nfL5JSuwLZ2sBWbqG1As0XF/HUrI9pbXHA6udh5utgij6uW/D7RRrtPqb1jGVneWv7MpYz+8XywZayLsdbnB4en5nDM6tLuajb5Yz1OInf8gDx+jA8pzyGOzobpcZAeWvXnVi94swE62VEqP73S5ikiGC88cNRlG8FoFoMbQ9uAJweP7O/8fL2zM9IkdeiF+3stAZz9XIbFqcXhVygtAE2FddxxdgQalpElu9p5ZU1hSyZE0GkSXNcz+fvIAU4EolEIvl76UMhLAMKV8LmV9qbxf6XIgoyZD8+BdNfgMZ8tutHcfmigzTZ3IGZhFPS6ZtgIsVRAEGJAKRHmlErZLi8Hb/IT+sdS4PNw5GXMXjqDqPe9X7ncYgimrpdzNw9hGf6XkT32v3HHeC4PF42FDby/cFa5k3KpKzRjlYlp3u0iZxYM+VNjk7HJ4ToMeuUbCtpZlsJjE+7lsnDrqHOIWd8SDrp5lBcDitmmY3rxqbx6tpCPD6R2CAt14xJJVKvQKNO+p/j0un1+LpNRjz0FUJjAeFyK0q5Bo+vYz2NTxSpFYPZ1aDh+VX5OD2B9U0KmUBRvYP0WCfFrGBx1XdE62O5/Yyrees7OU2ijhjx5K0y/rcHOG1tbdx44404HA6USiVPPvkk4eHh//tEiUQikfw7aM3g98Kh5TD6NhD9IMgRghIQlt0Cbiv8+AxN457iliUWmmyBWQ2vX+SJFYf57LLehHhrIWYYAMFqgVsndWNrcRONVjcj0sPYW9nKlJyowPVaylFWbQ3slPpFFW9UJipbnHxeE073aOdx34LH5yO32kJ+nZXHlucRblDj8vqINmvIiTWzr7K1PcgZmR6GUSOnptXZXgV8ZYGVlQXQO97MeWP0iK2VyKwNZPtraA1L5obxGfj8fkJ0CtJ0FvaXuRidc3xrheSJA/HMXggNh4lWm3loagR3LC3E5xdRygWuHpPGh1tKeWByIiv2qtlTHRinUi4jNkTJN1UL+KFiBQClbcU8v+82rhr1AiHBZnRHcuqcjP72AOfzzz8nIyODW2+9lU8++YS3336b22677e8elkQikUj+SnIFjLg5kOfGc2S9yoQHA8HNkKvB3kRDfQ3FDV23JZdbvPTd8TKemP6oQhJIiQ3n6wN5VDQ7GJgUjEIuY2RqCH5bEx67gLJsM7Lv7oTJT8KSKzq2RRujcEf3o83ZwP5mOWJoOse7CbrG4qZPQjCrDwUWS/+UtybUoOK1NYWMSg8nxKBCJgjUtznZWNhE92gTD5yazZPfHcLi8NI92sT149KpanVSU1WLOSyajdVymp1ORiaoiXPlE6V2Y22SER4+9Dc9XmVkBkRm0NhiZaimhRvHp+Pw+FHKBRZvr6CsyU5FrZ5XRnq4YJWelDAD/xkei6ixsmrrt5368opegszNyHy+3zSGv9rfHuBkZGRQVFQEgNVqRaH49SHl5ub+KWNwOp1/Wt8nE+k+/12k+/x3+f9wn8e6x8zglMA6G0/HYlyK1yD2vQDB1gAHlxCaPouEEChr6jyzEmlQ4oweiLLxEOUuD9YWN9O66RmdFsR3h5p58ttDAMgEeHV2JuMb85D7veD3wJnvQX0uaINpC+3JVkcC0MDMnmEUNHrw1h7fv4nWFIJaIeOioUl8vK0cvyhy1oAE9pa3cMeU7izdW8WXu6voHR9EariBbw9UcXa/KDyinE/Pz+BAg586BwTplKwvaaFvVDjnz9/bvlj6zQ3wxtnZJK+ahm3qO2h8jt/98yI3hPDcyr1dtn27faCv+J5rxlzPsGQThc1b0fsSCdGE0Ohs7HSsWaHCLFrIze26CPrPkJWV9ZvPEUTxr3uBtnjxYubPn9+p7Z577uGOO+5ApVLR2trKhx9+SFJSUpdzd+zYQb9+/f6UceXm5v6uh/dPI93nv4t0n/8u/x/u85j32JAP758e2An1M/4Lvka2cHagAKajha1Zt3HZ924sDi8yAeYND+Fcx0eoM8agrNlJS+xAgrJPBWD3vn2c/mHnBb5mrYKtZ3pQt5bA+qfB3gQqA4h+mk//gAJtL9YXNnLe4ETCjce/gNbSUk9BM7y9sYyMSCNZ0UZCdSoO19t4dU0hA5KCObVXDPurWnF5/dhcPj7dUc6jp2WBXEF8sIYQjYLdlW2s2FtGz1gzD39X3OkaveLMLJgRgcprRZvY97jH9kvNbXaeWnGAD3fUtbfpVXJemtMDpbORjAgdQTIH3og0fE21fNd0gPu23t5+bN+w3jyWNBOtsRtBCd1/9zj+bH/pDM6sWbOYNWtWp7ZrrrmGyy67jLPOOou8vDyuvfZavv76679yWBKJRCL5u4WkImafgbDx+c7tfh+iIQpBEMBjZ+Dma/hmxA2Um/oQbDlESt4TqOt2w/4FcMY7KJo7goIGR9f/f291eKk2dSex4SCCvSnQ6A7k1Qna+TIpU9+i37gMZLLjz9BrrdiBbt2T9HW0EDrqaQrcJq74YCcvnN2Hu5fsx+sXqWpxEBes492NxdhdvvbZk892VjG5ZwzVrW6i1W42FDZySrxIiafr2G1uHzWycBK1J5bCLtio46KB0UQbFXy+v5WUcD1DU8O4/tMDWBxerhpg4jrbi2hzTkVIGsW0/JXEDX6MMncTIaJIj8o9RDQWUqjOIeiERvLn+ttfUZlMJozGQHrt0NBQbDbb3zwiiUQikfzlZDLEpBEIbVWw/zNQG2HAZZTK4gge9QDmtfeyb+x7bCuzkGrQMXrHjVC9p3Mf5Vsg/ZT2j/ERwSjlFZ12DCWGaAkKjUXcU9tlfY1grcGo9P+m4KatrQ1N2RZsI+9F4XMQtW8+d1Wfjtcv0mR1tgcyerWCRltg5unnDtbauNCoweb2ccvScmQChOekEN1WiUwIJAr8ydz+QahkAurw1OMe369JT4wjTK9gXPco7lpazANLD7Z/9+p2C1MnzCD7qysRz/scddIwBi08h/YynkodnLMYj9NzwuP4M/3tAc7111/PXXfdxUcffYTX6+XBBx/8u4ckkUgkkr+BIPohYXBgu7fXAeXb2Gy8kIPlcUw9ZQkXf5SLw+NjeLLIEHUYvywNKSq1eEM6XpmkJcTx6hwf877Mp9HmJjVczzOzcgjSqfHFDYDtb3U+v/vpx0ycdzTutjr82mgMX16C3NWKs/9/GIqATm4iXNfRV6vDQ9SRnDFTc6LonxSCxekhIViHw+vnyg87Skm0OLwsjHyfj6bN5tWDCpqcIpd0h1HuVej0lwRms/4AwWFR7DhYy46y5k7toghtflXgL80l0H0mzPkgUM1dGwyZUyB5OJzka8b+9gAnMjKSN9988+8ehkQikUj+Zj5zAoq2Cqg7CIeWwbAb2V7czOScGA402rl4WBJ6tYKle6rI73EZPcrW/KxStxnBFINR31G6QC4TGN8zia8TIml1eIgwqgk1BMIitykB7fj7YfeH4LZBzpl4ovuhUhz/tmdRFBGaijF/eVF7m2bV3cw9832E8DqaHFWMSY9ndX4ggNha3MjSS7oRa9mDuvIj3KHdKZH35cWtnWdC9le20tRzOINXzqRvwki8ISZ0W36g9ZTnUetNv+/h/orkcB1RJg01lo6F2+EGNQmeIzM6ujDQBUHW9MCff5C/PcCRSCQSiQRAEZWF31aHbEASRPWEulxGZ4bz9PeHya1uaz9u3qRu3LqtguenfUZ66+ZAo0yO6PMiV+mhfCs0F4MmGMIziAlOIiZI2+lacrmAMygdxcCrQPThNUQjxwfqX6/t9EuW1gaEsk2dG7NnoNj2OpSuJxx4IucK9p8+i3pCSI80kHroFbSbnwNAB2RH9WFa92f44VBHFy6vnzXebMYOvZeInc+hEgSqB9xGnbEfvU5w9qaiycb+KguVLU4iTWqyo4w8N6c3T32Xx/bSFvrG6rm3n4uYNc8i9pgF5rgTut7fSQpwJBKJRHLSeOJwBHMSrcQkjUbe8yy8ZWKn4AZgwaZSRncLp1RhJNW+HNn+TxC7z0DsdRZC/vfw2SWBWRmAvhfA0OsgLB0IzLogiqhyl+IPS8VvrULwOFDJBWT23xY8yORyFKZfJKYNz4QDX3R83Pc6Yw59SP35q3HYq9FufanT4cqaXYwcWt+e8A8CM0+GoAg+bphK5IChGDRKmmUhmKwivX7TCDuzOjx8tLWcV9YUtrfN6hfHXYMUvJO5nZZesQSHGjC2lMGwGxCqdiI2F0Ps79+x9XeSAhyJRCKRnDQO11qZtqmR+4ZpGBhdis2V3OWYBquL6d30ZNV+jdBzNv6k4VgNyWgFN7Jv7+gIbgB2LoD0iViN0Wyv285XhV/h9rmZmXk68U0evAoz8bbtGL65GbqfDgMuOa5xOr1OdlV7sXkymawPA1sDAKJCS/H0T6mQxaKXe0mt/JoNmpG88Gk1t/eHBL+3S19+r4vH5sSzPs+BTqmmd3wYRrWC5fuqGZMZyeFyC3WWch6a2vVZ/BYHaiy8sa6oU9viHRWcF+mh19p7aH/5FT8IdKGBzNJuG76Ucch1QSd07b+DFOBIJBKJ5KRxzsB4LktrY+jB+9kW+xrJYToUMqFTUrrZvUIZsPEqZGo9h7IuRGatJ/HHG/BNfhxlWDr0nBWYDrFUBdbYNOSTazBx/err8YuB+lSbqjbx+qhXqRHTeSY/kjtGdiM5zHjc42yyunh7fQlbih24R71FLw5jDA7nsGkYj32bz56KYuQygUuGzaC4zMah2jo+OGRgYOo0dIVLOzoyROAITuThdeeTZErCrDYzKfg+9pe3Mr57JKsP1ZMdY2JazxhE34ntWmpzeLok9wNo+2U9z/ItMOrWwDoov/9I8sWgE7r23+HENtNLJBKJRPIHGpoczIDajyka8jDVPhk+RQlvnteDrCgDJo2CS/qa+I95M8rKzbRlnYXHUstrBaH4dGHI/B7weWHNY7D2cajYCqNvB1M0q0u+xy/6mZV8Jm8MWsQrveaTULSLKYWP8OpYCIuIRmwqCuwUaiz5n+O0OgXKm+woZDIe2eKjQtMNm2Dko22V7KkIFKv0+UXe/LGYXvFBCEKg3tSnoZfTPOhWCM+kLfscak5bwOU7b0NEpNhSTKOzEbNaw95KCy+sKmBfZSuLtpXz8LLcwM6mE5AQqiMpVNepLVinJMlXAnIlnsRReOOGgEIdCGwAb7+LcTeUntB1/y7SDI5EIpFITho6mQdq92IdkMjeio8oqtjLtPhzeenMntBaSdL2R5FXFVA/9imEyBxyypZzT046ldr7CXE1EFr+s0W/9YcCszgR2cj9Xq7OvJa6yt6cs7wEuSDwxuTujDBXolz7KMb0iYH8Lh+fB1OegtC5xxynXiXw31My2FneghwRjbyWVlUEW4rruxxbZ3Fh1CiwOLzcs85K8dDTuOyMy7D4XVyz/mLqHB0ZhS/N+g9+j4LvDtZ07qPNRZP9xGZwMiJNPDUzmxdWFbChuIXeMTruGh9HUFsD309awzs7W9HKRS6dYmJAyzLEmQu4b38oF/cxkHFCV/57SAGORCKRSE4eagP0OhsrDUzSBhMpTuD6tWo+UpRw7egkGPE4CgFk9gbi3xtG+chneLMgmo93FhNlUnPPiI8Zsfu/qBrzAv2VbYKYPow3pVMlDuKxrSUE6ZTcOiyYkdvnomg9kvm4ZD30nA3dpsCaRwPrUKJ7/uowLVYbt32+D4vzSK0oARZeaCYn1s0PeXWdjg0zqLAeOU6tkDEqI4LNhfXMrHqap3vdxsa2IuqdDQwN7083TSyH2nzIBQHvLyop6WUnWNyy7jD9WzfzqvobmscMx9y4B2NzX77392fu1x2zNKsLW3nz7LMxaFS0UYVHUOK1t6LQHV/18pOFFOBIJBKJ5OSSPYPE5lJiv3uIHwa8TkmLlwuGxHLh/F0ApIYbOGtAHHHTt2P3ydm8qwSX109pk4PLljn4fNLt9Fl9YaCv2H7gc9Nd0LLbKuO1U3T0cm4lvK0SRf8LoGAllG4IHLtvMcxaAPnfYvV7OdaG8R/zG9qDGwhkHH5uXRVn9otnT0ULDdbAwpYx3cIZmhyEbEIGfr9I3wQzcToRs8GJP+p8ei++iN5KHZiioGwfa3s/hSjIOHtgAu9v7gg6MiJ0ZIQpT+y5WquhbBP6ohXoi1ZA9gzc9fm8XZXT6TBRhGV5zWwvaeKsAfFEad3Ii1fjDkpGFXsi+7j+WlKAI5FIJJKTS1A8oWWbwdGMza9kWs8I3t8U+GWfEKJjeq9oHl2eh18EQYCrRqfh81dTWG9DFCHfHUofgKgcSBkF2lCUuz7glD7ZRC+ZC7afvUYafVsgsaCjGRBwKbXIzllCY3MBe/0yhsb37jI8i9VKq8vfpb3Z7mXN4Xpm9IlDq5IhFwR6J+hJyn2QAZV7wevCarqaYmNP3t2/mMHm8wkdtpBUoYqwIBM6tZpmq8BNn+xgWs8Yrh+XzqGaNnrFm5mYoqbeKXBCWWnaakEb0vE5NBWhZDMaRdft8Uq5DI9P5KnvDtP/gu6ELr4Q5fAbcWjC0IbGnsgo/jLSImOJRCKRnHRUghyANEU9erUcqyswW3Jq7xheXVPYXqNJFOH1tYVM6xnTfq4+JBpmvAFDrwefF78oIvY8h/DWfZ2DGwhsI88KVB+35MzkoYoV5GEjQh+DylmFq64AbI2BY1vK8VTtRVuzjVERTn6Zc++U7EhW59Xz5o9FvPBDAc+uzGdHZQm3KWzUx/WB5mJsQZnU2ZoYZPoPd3xewhXfNDN+qZY+H3oo1Wbx3sYS/CJ8taeKV9cUUlhvRSETkKk0pFUt5YToQkBjAmNU4LPHgbIhl8syvZ3uRSWXkRNrJlinwi9CrT3wsIUNz6NuKTixMfyFpBkciUQikZx0/KFpCNG9ydzxAM4x79LcJ5ZF28qBQKbfn/P6RXxH1qtkRBpweERY/0igjhIgzllIc2gfQlo754ABwOPAH9aNijHz+EqwsaT4K3Y0HeS1Yc/x7XqBx+rrOD2tnpndNGh3vo3y0FJ8IelEDLmf52f14L1N5VhcPs4fnEBdm6s9EPuJTmdja9k29g68n94pM2nQpiFanWwsqKJHrImDVRb8gdyDFDV7abZ37Nl2+/zk11lptntQ1u2hXpvM8W9kPwpjNJhiYcBcUJsQVToYdy8DN9/Boin3802lFo1Wy7h0Mz1zn2BGhIOi/rOQBweCTUQ/oqP52Nc4iUgBjkQikUhOOoqYnvgmP4GsfAt9axYT3PtS4oLS8CPDpFV0qsqtU8npF2dg3qRu1FhcJHiK24MbAMFSgdEv4onojkqhAW9H3aWGfuezKiScT/PXMix8BpemjEah9FBocbG3SUSvgVWlXuY0voaQtwQAeeVWkpbMIH/EJ9x+Sjphniri8l+gOOUcNsab2VXeil4l57IxQaypewWAZkFgrTWRviF+MnzFXNtTjV0MwqQwctsPjWyvdNJk93Db5EwOVFnw+0UW76igweoiM9rIdRs03DomkZDGGoJCo37fQ43KBgQw1SK2lFFuVxEXG4dq2LUMatrMoNRYXMZ41IvGtp+Sc/gLxNkfBD5ogvAFpyL/fVf/y0kBjkQikUhOSvKEQRDdG1wW5E4Np+b4KGuy89IZGdy0pIAGq5sQvYpnpieQqLbyXmETl2UL9N52b6d+REMkyrq92HqcTtlpzxGzfwk6SzUVmRP5wNeEzl7D9JgbeGSJBYcnMINyRj8Pg3rlsq1+DfelX4py0ZcAeCJyKM+4EJ+gJCfYi7tpKwmrrgWXhYzd7/H28DtZOWIgpbZCllU+TY2tBgGBeEMimypcjAi3sqg6mJfWBhZG900I4q7J3bhnWRFeUeT6hbtx+/zoVHLmTepGsE7F62sKOVDdRqNb/L/27ju6qip9+Pj33H5zb256773QQu8dpIigKPaGhbGLbbBXbKOOijo66igWBMWKCiIdEQi9hRBaekJ6u72d948LwRjm9w4SBOL+rOVa97R99j5naR732Xs/2L2nONA4MhvIhm0fU2fzUFrvx8DQZBTV+bD3O7T8biFA2Yu0fzFy12l4e1yOJqbbCYs9G4kARxAEQTh7qbWYPYHc++VmvpikReOxErl2FosueIZabyihaifR6/+Gt+c1vK/4DjUToeX47CNv6hhqjJkoVBGEF22gKiqd2QFqgkO7sLH8R/w1/jycchFPf+nA5jo+DfurrUf4e0wyBQ1vc9hZQWrCcBr0cXyovpx3VzUTqNcwa3watRYLcr+fSQ/VomsuJK1mOf1jGthUtZkqSxURfhH8vcddZCqNRPaIZntFDa+s2Nt6n20ljfwnV8dTk7tw6bu5eI4OLrI6PbyybD9X9osn72gurnqrm0BN+1QPf4QU3oVMdTmevf9C8ePXyAHxMPEV2PgmrcNxNIajg5KVOEc8gjb01FJF/NlEgCMIgiCc1apbHGwpagBPCCHm/VCdR/Q3U4n+zTmKtLEoitdAzW4Yci9m/yQkjR+r7ensK3Bj0IbSM2oC3WvWML3bzRxsPEhWRC8CtAGo5FAO1RyiW2wAsyYF45YaMKj9cLm0zFTN5cP1LSzSP8TUrEi+W3IYl0fm5mHJPPJtXut4IK1KwcMTs3inSuLlJAezVXHc1e1elEFpNEiJ6KRmIkxafsprv1jf2v21TOoexdC0UCZ2i0QhSSzdc4Rl+dWolL65QAoJYoMMVJi9JHfEcjSB8eg3vAn5XwMg1R+C+dOQL/4PHFrpm12m0EBjEXLiMBxOD9oOuO2fSQQ4giAIwlnNqFURadKR5wwn27UJd/IYVIeXHz9BH4RLF4oawFoPa15AvnYF31YG8try/dSanQxMMNI3wERdUH/C8bK0YSlI0GhvZESsliv7JTCqVwOP5t5Gnb2OKL8orkucw+Nfl7beZtm+eu4fl8HCLaXsKW9qM9jZ4fayp7yJCquSPe5YRptqCGmq4Zr1SVSZC3hmQiI1xRUkBrT/s5sd7U90gJaxWRF8lluKw+3hopwYBqeG4nY6mDdJT6ZfM9WW/eiDszvmoTaVwN5v2+7zuJDsLXiu+xHFDzORagsAkLbOxTjyUQi7E9S6jrn/n0AEOIIgCMJZLdyk4/mLu3HRh1v4acaF7HHkMMwQT3DRYqyh3dmbditRQUZi+t4E2z5B7nYJ9eowFm45TK3ZyWdTw+gr5aOuPgCbfsXZ92/cnXIDeU0SBZVONFYdlw5ycPuqR2l2NgOQEdSdeevbrkjs9sqUNdiICtDRbGvfE1NvdRLkp6bRqcCz/0s2pdzDtjIzALLXxSWpErX56zgvNZ6fD/oynpt0Kh4eGUVJg51Hvt3TWlZ+5T5ev7Qbk1S/oPzpAZBlQiQJ13kvYvG7GoPBcGoPVe0HxghoqWyz22NvxttcifJocHOMYt0rONMmoInuemr3/ROJAEcQBEE46w1LC2Pp3UNoLN/PzGUtpIdPZnTCRRgMenLCG3iz5DNcWg8XX/Eh3fxiqbUr2VnWxNwLghhY8m8kUxSoDXgH3YVm90LClGrSNQn0ldbRQiAl3iyuSL8ByZGEw6ElOUxHSYGlXT20KgV7K1u4aUgSq/e3XVNnaGooerWSzEg/ftC9xrKCBsCKSa9CQkJRk0/E8jt5Mesqbhw3DotHRbKinISAeD7Z2dzuXoG2EpSrHvHNIQeQZdTLHqIpvC+GlF6n9kDDs/CMnY3ym5uOlx/di2pjOqHOivbnux3gsp3aPf9kIsARBEEQznpKhUSK3kJ19UqiA3qzv9rKgRr49EYXt61/AK/s+1y0tHw17wx9mdIqA5fmhDOo+Vuk2D6+7OK2BhQaI/LEl/Eawgj/5QlWdjuf5w9+SP2eegZHD6eLLos5SxvQKBXMviiLnaV5rXXQqRV0jTYR7q8hKdTAC1O78eGvRcjIXNAjmiV7jrDvSAsvTO1GaZOXYIOW6YMS6R2l5j9b6hjZpx6AoPx59M+f11quJ205gfr2PTLBUgu4HThjBmA3JWEqW+3rcbHUnvoDbT6CXLwRpvwL6g+DUg3NFeyrstE/IRG1LhDsja2ny9lTcKv8OLV85n8uEeAIgiAI5walhvBDX/P28B7M2uhHfKg/Kyq+ag1ujpl/6GuyVfdyf389mvIw2LngaCoGQPYgFa5F6nsju4fczeu7XkWt8E29/rViDcpoDb0SLmRbcQufby7nnat78f3OSvy0SlLCjMz+MZ/IAB2fZ6xhZ8zlJIUZkIC3Vx/C6vTNwiqus+JwewgxagkyqNHoVEzqrgWTDZQa8BxfzM+TdSH73FFkRHi577x08iubWbz7CEqFhCkimV3jv+Tf+Tr2lXmYmnYVF2o24xcUd+rPsrEY1db3wPQwbP+09VNV3Ih+LKlJZMqEV1Dt/QrqD0HSCJzpk9Dt+hhL6JMYtPpTv/+fQAQ4giAIwrnBEELzoDvo8cPVzM+6CkvyeD40n+hEBcEGLWGKOmRbA1JoKnSdCofX4u5yEY2VxRwutVBryCaH51BoHSQlNvPJoef4tXIlV6VPY1sxbC1u5M7RsO9IC3aXh4VbygBIDDGgbyki6sgqVubH4vS0DbD0GiXF9RaK66yMzAhjaM9o7FYLUnmzb5bSsseQGoqQsy/ml8xHuem9XbiPTg8fkxXOCxd1JcSoZVmFldeXe2lx+D5fvVQDpb1HMNMQzSnTGH2rGv/yCvS/tXXwcGJCImUWf75qyGR4r5noZBsebTABqx/BG9+XBkc9Bu25kYtKBDiCIAjCOWOBt54xF7xGRM1hsBQzIWEcXxYtbtOLc1nKxfRQVCB9PxOyJkFgItjqsI56hFo7zN6VTF9TJM9+trP1Gq1KwaMXP0WEXxhmi4nXLovH4XKzs3ExY7v05Z3VvtlU0QE6bhqaRINyKgkrn+KeAa/w4q9NreUMTglBlmV2lzfRLSaApFA/3F4ICjDhrQ9gZX0Yh9LfpU+YF7/AcB75sqg1uAFYnl/NqMxwfjlYQ6CfhpbfpX5YuP0Il/RJIDKYU6PSwXnPwNcz4NfXAHB1uZSGlEvYXNLC1VlKmgoL0DTsIGTvJ6AxUDfkdmS5fZLRs5UIcARBEIRzRlJIFlPW3EuQNoghUWMJLxjCO0Nf54fiH3HLbi5KGE+2MhBtzS7oehH8+jroQ7CPm43uyxs41P0ftLhMLN9b1aZch9tLsCqN2d8VUFJfCMDozHBuGzGandISXr+yLx6XiQhTEDd9vIW513VDf95nRNbaeP2SGFQqFaWNDjQqBZ9tKqFPQjCDUkPI9HfQYnfjrivCrIznvsWHaLK5yI4y8fJ4N+WN7QfuVjTZSQgx0GJvv6ifVqVA0RG5Eqw1sOsruPJz5MYyZL9gvIZowpfcwu1jnsWi1hITG45Om4gz5mlqAmNpdFtJaamHgA74RPYnENnEBUEQhHNG74jezB48m1B9KDX2UuqtDlS1WmY3WnixrIgBn1yG6fNL0eiCfAOLXTZcI2ah+3oGioZC6txaNEpFu4Sd2VEmfs6roqTe2rpvxb5q8qu8XHdwLVNW3ciI4ncpqrMyvmskRQ0yCwuqKHTVsKu2kk9yy1ApFdRbXWhVCi7oHkmwn4ZDFj0uh5XA8jU0Fm6l6ej08ondomg2mxmR0nbVPkkCvVrJyn3VZEcYSA5tO/j45qHJuNl/6g8yIBYqNsOCq7B5wOxR4XTYcFz4Ln7JAwiu3ot3+8fs0vmxSa1ArtxBl2/vOqdmUokeHEEQBOGcEawPZkrqFAZEDUBGpqXWSXz1aqQdx2clkXMVOJpapz973c7Wgb3JmiY2HrZy56g0dpQ2tl6SEeHP5uL6dvcrqrHh0Afh11BEWa9hqFUSQ1ND8WiKyHU8S2VROUHaIK7vO4tgKRaXx8vtI1NZtLOSBVtKkWXIivTnuQmjian6mOiAoVQ02YnUu4lxHuaRnkE4PSbWFzUTbNBw45Akvt1eTnmjjRdT8nl18jC2VkFhrYU+CQFkhKhB2QFdOAGxcOmnWGw29EvvQVF/GCQFln53Ye5zCwGhGZh+fpgukpqibpfiUgYhd5mK7Bd+6vf+k4gARxAEQTjnRBgiAIhU2/CWH19Dpj7rKjSmFIyOltZ9kkoNChXW5PHE2ffzz3HD+PJQPQ+My2DlvmpMWiVX9gxBoYCyhvI29wk36SgJvRVV6Eg+Kg5naj89aq2Zh3KfpNrqWwiwwdHAW3mP82y/D9i3z0OYv5b5m4+vgJx/pIWPtjfxkqqSOcPhnl/0jNLkE/z9TSBJvJtyAUfGjqIlsh83fl1IvcXJ05OziNI3EvvdOHqotHj734LNG84dP4Vx48iOWWzPGpyN6psbfcENgOzFkPsatuhBHArOgSu+4oPCb/hp88P4qfy4pdsdTLQ3cG7MoRKfqARBEIRzmUYPoRkgSXhC0plvuJrmhhrI+xoG3AaShOLIXtZNXM51TTO4ZFdvqs1uZg0JJCq8iiF9djK9fzHxzoNc2jeWrEj/1qLP7xZFXkUzDyyvZ5umL/3TY7C7vDS5alqDm2OcXidOqRaz00PBkZbf15INh+s4kn4lfVZfy7ypoQTufNd3QJYxHlxE6i8zyS6ex9OTs/loel+6xpj4VT+C/eM+pXrsHLZI3bhlcxirCm24vHK78k+Wy9aCqvEg2oh08I9sc0zVXEyFWWaf1Y4sa9AoNJhdZl7e9gI7Pe3bdrYSPTiCIAjCOc0bnIpiyluUNnmZs6yJAedlEV0+GzxuuOhdtilzuPbTAxyLC55aY+VutR+L6h/lkqihZKr90XrqcB7Zz2MTUthYYkYhSWw8XMfGw/Xo1ArSQ3XMWVvKvaNTWHHYg16lx+ZuOx5Frwhg/cEaRma0/4zTIzaQYFseOM3E7HoLWdF+yTy1UsGkHr4p2D/uKsdPo+LGn6yU1ttbz+kabSI1zO+Unpe9bBfazf9C2r0QtP7Q90Yo3gDFvwJQHTGU5XnVfLvdTGTAMG4dOo6FpbMpMxezu24PIxOGoVSe/f0jZ38NBUEQBOH/oApNAkMEzrghuDxeXtzlR/GIOWA+AuvnsL1a5vedHl9sruPhLn/n2sojVDb6sa7ehJ+rHsltY86Kg7y2/AAbD9fTPymYu0al8egPB6gzOzhUZ6OgTM3MHg+jkI7/Cb0y7RbyivVkRhiID9IzKvN4kBMdoOPagQkow7NwXPg+zr5/w9731rYVUmqwp4xv3YwN1PHU93t59sKuXNwrhvhgP67sF89Tk7sQF+LPH+X1eNHkfY60cz543b4FENe+DOkToMcVNA+fzYe7nczLLcXi9HCoxsrsb+qYEnc7AJH6CJS/y191thI9OIIgCMK5L3U0MTXFTO4Rzbc7KphSH8X13T8g1qTCpGv/p86kU5Ku0LIo4Doe+akRcAES/7gQLu0exBe7GlArJYanh/GPpccTT969YAf/uKQ7zQ0mbkl9Eye1hBvC2XlIy8c7Svj22nTuW1xARICOe8ak4ZFlrA4POg3oEvoB/TjSZOPZ1Q5uGjOPxMqluFV+HAwdTWlDHJccvU9GRABPTe7Cyz/vJ9hPzS3Dk8iMMNIr8dQWwHHUFqLPX9Ruv81WzzsxPYj1TyDLoIDNx495ZbBZA0g2pZEjGZDrDiAFnv2L/YkARxAEQTj3SRKG8ERuGR5MdqSB73ZVUWWVOC+kCq2/ijCjlhqzo/X0mSMTcbsqefqXxjbFzM2t5MUp6VzWsxmLw8V7W9vnfVpdUM2YzAiCjRk0WJJYsLEUtdLDaxdnU+PwsqeimT0VzazIPz5Op2uMiT4Jvt8er5fcUgvf75VICr0Yp9tLea6N+8YeT+Gg06oYmhZGpEmD1enBpFeTEm465cfkVaiQAxORGkva7K/SaPik4D1cXheTk6Zx/eALmPvr8aSbcaYwXgqeTvpX1+C+9ONzIng4F+ooCIIgCP+TzCgTmVEmrk6xoV3xGMoVayB5BG9d8R6bS5qpaXGQHGYgzFNNI9o26+HcMSqV4loLV3y4g6QQPQ+PCCc+UNvuHkatiia7i9dXHsBfp2JS92h+zjvCR5sqmdIjCoNGieVoXqpj5N98IosJMnBV/3heXX6AwlpfxnKFBN1j266Jo1BIZEQF/vGHUboZKneCxwER3SBhMAbJhXvQ3ajKN7euaeMKTSNXrcDl9a3R833hlzzf/3zm/grdI3U8299Npn05ao8Nhs/CY4g4J4KHc6GOgiAIgnBSNFodioG3QNponKFdWJJXw4LNpWjVChqtLtRKiR+vTSTCpKWq2UG/pGD2lDexuqAGgN0VLVz3uYU3r+zJF9sqcXl8EYpWpWBMVgTPLs7nir7x1FocNNtczBiWzJLdlRystnDLiBRe+Xk/CglCjFr6JgRR2mClttlGqMk3yfrCnGgUksT8TSWEGjXcMSqNfkmnmn/hN4o3wJfTW5NootTAZfMgdTTO6kLcly1EWX8Qq9bA1+b9vHbgs9ZLZWT8tF6evTCbKZqtGBfdeLzc8C4oo3t1XD1PIxHgCIIgCJ2OKjwDubkCyjZTFn0B8zcXYHd5sbl8PSsuj8zeinreGaPhgV+U9EsK5q1VB9uU4fR4sTfXMP/qDFYWOfAiER/sx8LNpVw7MIFnf8xvHbwcYtBw5+hUXB4Zt9vDh5cm08WzD0PtJlr8U6gL6c2Gw3VckBMLQEKokTtHp3FZ31i0aiUB+vazqk5J8brjwQ34FjrMfQcSh+CXMhCO7AL/UI4EdWXBgQ/a5PLKDMom1RDGiLBCpEVPtC23Og+lpaZj63qaiABHEARB6JTs4V3RDrwDvewmUK/hiMve5rjG66Tnz5fzRc6t5Kdcz6cb1TRaXcePKxVk+TWRVvktvVMHkNsUxHMb6xiWFsqPuyrbzMyqszipbnaQFWVCr/TSu+gdTFveAMAAhCcOJWP000BsmzqEm07PsnlySxXSsQ1JAQNvB10g5vXv44rogTquN8YEIxnAc4NeZsH+z9hVu5V+EUO4OOVi4hbfAX1uBHN1+7LdjuNln8XENHFBEAShU9KbwnAFZxKhsnH/eWltjiUF6+jq2g0aA8GhUWypns8Nw4+PgdGqFHx7kZ7UdffD2peRvruNfqoD+GsgO9pEw28CoWOUkszcX4vw1h7CtO1fbY4pin5B2XDo9DT0d2wNR5ATBh/f0f9vULAEVj6DcfVjBH0+Gfb/1Hq4d3RXnuz/AB+M+Q8P9b6LHEsllG/xjdHJntK2cIUSgpP/lHacKtGDIwiCIHRaWmMgGAMZom3gP9fksLuiBY1KSVqwilDJAqrr8O75mr4j72HO3rd47OIb0FhD6RsBGcumI9UdTWxprkbx/Z08ev43zFx+kEt7x/Lib6aPAww1lHJt9mHq/DPB62lfGfefkKjS2kjN4R1UEUOf8/+JtO6foA+Buraf34yrH8eWNBh9UBQABn0QBn2Q76DORHPaWJr8Q4kJTkWRcxUULAZTNN7hD+GQ/M6JdA0iwBEEQRA6vaAAE1kOM8EuC5curMLlkYk0Gbg0azSNxjFMlUK5KW0yv1T+yGNODaoKHdT9Lmu3x4XWUkmYKYE+iUE8NCGTjzcUE6BXcsfgaNIqPiJo2xsEX/MdcuIwpKK1x681hiMFJUPJRojqAerTEyJ4q/OJkBopNqvZ4N+fLhfOQ1ezk3Zzway1KLzOExWBS23Ck3M5RV4b+4PC6BIcS3DWBbj0oVzwRTMPnhfBeael9h1LfKISBEEQOj2tWkl0TBxmXVTrjKgjzXbm5Dbz8Y4mNA3VZFj9edTUBdXGt8DtAF3baduuoDSawvtyUU40JfVWhiWbuLpvNPEhRu759iCzasZS1uchlPmLkJKGQs6VEJSII/sSuPAdKFgKH4yDve0X2usI7rLtSDs/Q/v9rQxV5TNQvR9TUz6EZ4Gm7erHjpzr0QbFti+koQTFupcpdDRjdfvRTZ+CLOvZ4/Gy1l3LM1NlyhtqKG+wnpY2dCTRgyMIgiD8ZUQF6EkJM3CoxtK6r0eUHzGNW5jnHsVN4Y2+RWt2fQGD7oJVs33bxnB+7j+XO+fubR1cfP2gBPIrW8gtrAfg5wNmhkUP5GpDri/9QUAsJA7D0e9utJ+cB9Y634VLH4TEIRBwiqsBl22BqjzfDKmwbJR1+5F2fgYXfwD7FyP9/AgAWv9IPJd9CsufRtlcjKP71dB7um88zW+5ncjVedT5Z1BuyWZI2VyC9nzge266QBqmzuXewx9zWdL5uL3pp1b3P4EIcARBEIS/jNSoIF6Y2o35m0vZWdrEqHgFl4ccIiBvPskjL2efQk13QxiYq2DXAhj5CHg9FMVN5aFPC9vMnJq7vph7xqa3BjgAqyrUXN3F5OsBqjsEdYdwdZsOv53BZWsAd9sZXSeteAN8fRM0lfm2w7Mg9Tw47xloLvcFaMe0HEG57hWY9iGodWiN4SC1nwdlLdtFEUls1CVznqKgNbgBwN6I/4rHuH7UI7ywZw6fDO3G2d6HIz5RCYIgCH8pfZNCuGVoInMuTuWe2AOkbHgIbHXEB2v4NM+Nfcp7vnEytQdg32LQB1FrddNsc7cry+XxttkeFK+HtS+1bjuj+vBxnoeSSccX0iNrCphOsfemeP3x4CY4CYbNQk4ZBU1HfMHZ71XsAGcz+EecMLjBaaVYDqfBo8NjbSLKfrDdKaqq3SQoY+kZMgSX19G+jLOM6MERBEEQ/nLSowKBQIoM02jw68Wh6mZ6a10khBhwFv+ELuN8GHY/NBSDtYYEvwoSQ/woqjveb6FSSAT5qVu3u8UE0CMpAm+eEYW1FnvcMDak3c+bP9XQN6078RoDdL0EBt8Nat2pNeBYcJM1BZKGwfd3opAUeDMno8icCOvntD0/YRAEp/zX4naV1HL9/ALC/bW8NbAZpeNo4KbWyekVzgAANNVJREFU+zKN60x4bY0sL5bJNk7G6QkBmk6tDaeZCHAEQRCEv6zEMH9s7iRCtHY0ZjODkgJQVwZB/T5Y/VzreaGx/Xj9og+497tDHKqxEGLQcPfoNErrrcwc41tjp7jOyoYSC6V9PsZja2RlmcSSJS1olAoMOj+4fRMYIkCl/m/VOYmKD4atH0CPy2HBFVT2upelxgv5cb+FHip/Lpn6M5nfXeDLQxWSijzoLiSN3wmLammo5e11pdRbnNRbnARKVji0AkY/AUo1bP8UR1Aald1vJ9yqZWOZnV5RyrN+sT8R4AiCIAh/aVlRAWRFBSA3uwmrykcR1RVWPNzmHKlsE91tuTx30Qha7G7CTTpm/7CXTUUNbc67YXAitS0KPtpgbt139+hUgjVO36DjjhI3AMY9D01lOKL7M8c+kfnrfb06m4sa+DFAx0dXbcTYXIikNxFhr8fudKPXqHA0HkHptKBSqyAoAavdyo5KO2H+WuxOD7vtYYwo2wzZF8JPsyga8hL/LMvkh3n1hBgszByThkKpRv6/a3jGiTE4giAIggBIphg00dkoJBk87VcqdssSi3ZWEGLQUNvsYHzXqHbnDEoJ4dYeaj68KJJ/jA5gwQV+jAis4f11JVSWl3RcZQNjYeBt4BdMacrlfL69bUqFyiY7y4q9aFQSrso9mLVhOOpLkbd8iOab6ahWP41ctQdv0XoMOg3fTPSwutevrBu+D5NBj3vy29BYiiuyN9/YerHtiAuvDDVmB498u4fD9WIMjiAIgiCcOwyhSPYm5PTxSL9JZ4BfCHJAHH8bFMfmMgv3f7mTyT2iuW9sOgs2l2LQKnlwfAYDlfloDvxC5K+vHL9WqWHo4AWUNfgTdYpji9sJTkNyVKGQ3Hjltn0qbq8XZ/kO4jc8BX7ByJPfRPphZutxaf8SpEs+QGupw/jN1a37e+mDsF/8MY7wHDaEXMm+fBsDkkNICzfy7trD1FmcVDTaSAk/u/tIRIAjCIIgCL8hhaTgGXI/ipBUpILFEJWDp/vluAJTqGmQefGnfcgyfLfD15szMjOcB/qoCNj7GroDP+KNzMF26ed4dn2JseAr8DhJlMuotgd3fGVjehCvyOeq/m4+2nC8hygxxI8h0UrCNx1dTdlaj1S4FgyhYKn17XM7wOtB+csrbcu0NUDdQVaoRnLXl3tbd+vUCp64oAtPLsojyE+D9yyfSSUCHEEQBEH4HWV8X/CPwpV1EZLaD1VEBji9NFjrqG45/oe9zuLEY2siZPVLqIp9wYSisQR92UZ+6vcRybETSF9xEx6VHwmBGooqqkgMM3VoqgZ1VBa3DGkiNczI2gM19ArxcJ5+HynfTYeBt4LlCFTng6XOtzrzsQAHsGjCMDiaQaWDAbeBSgOyjDOkK/9eXNbmPnaXl6I6C49OzCIt3A//s3wUjghwBEEQBOFEgmJR/yadgU6jwOn2Mjg1hF8P1rXuHx/jQPXL2rbXmqsJdZXzyL4w3ut7L8HRKRRZFUQG6HFXFaCKzemwalor9hFW+itX67RcbVyDlL8KLDW+g6uf9y1WuHI2ctpYpLwvj1+o9cepD8fWfQahGjdseAPMvrE8iu7VeL1T293L7vLy8rL93Dc2nQuyTB3WhtPh7P6AJgiCIAhnCaVCIsSoZXh6GMPSQrmsm4lPJ6gZmmgARfv+ArekYXOphYqs6dy2tJknVtZgc3px1x0GT/tFA/8Ia20J+h9vR7XkXqSGQqTdXxwPbsCXZsLrRZ7wEgXGvmyeup7q8e8iD7yDist/5s0tVnRxPZHNVa3BDYBx3xfc2i+wzb3USokok44mm4tvtpdjdv8u1cNZRvTgCIIgCML/SJa9pIYbGRlmJmnD06hWrYPIbnh7T0ex+b3W86yxQ/mpKpAQg5Nml4KtZRaGpoXi8brRbXoTc0gGxtgup1wfddUupPItvg1bvW+F5ObyNud4I7oypyyVtxbtw+WRiQsK48WLZ2KzubgtNZ8jLSoSag/RZnUep4URjV/x78mT+SjPhVGron9yMO//Ugj4xuPo1Wd3H8kZqd2yZcu47777Wrd37NjBtGnTuPzyy3nzzTfPRJUEQRAE4f8rxKhl3oYiYkq+RVWyzrfzyG4ULZV4prxNc9+ZHBz6GnPD7uejXWb+NiyZJosNrUrBlB7RRGkdUL4Vj7WxYyrk/k1GqN1fwoBbQak5vq/bJRx0h/PaioOtWdRLG2x8trGI+IB6qp1aLv3BSUnUhHZFa4PiGBdUxZOjI/F4vby27ACVTXYkCa4blIiz8UjHtOE0+dN7cGbPns26devIyspq3ffEE0/wxhtvEBcXx4wZM8jLy6NLl1OPbAVBEAShI6VFmHjivHj8vvup7YF9P+DShrGzy8PsrWzBqndz/1glWSEqDjR6eOHibnQN9BBQ8A2uHtdRps9m9/5qtGoFATo16VEBf6g+cmjm8ZlRjmbY+DaMew7Ufr6enOJf2dl0fAVjpULizbEG+td/RvB36/k8+x3qLU18UBHP3X3/TviONwEZc+/b0YYlY9s0l9r46SQFh9A9JpHEED8iDAoMegUhDbuBtD/+ME+zPz3A6dWrF2PGjOHzzz8HwGw243Q6iY+PB2DIkCFs2LDhhAFOfn7+aamT3W4/bWWfTUQ7OxfRzs7lr9DOztLGhJgIHHFD0VbvbbO/0pjFv9ceZkRGONlhGlICFURpHaT7OfBXN6Or3Yu3uZLN3R7jma92k3+khQiTlkcmZgEynsbKk66LSqUn6eK5KDe9g1S9FzlpBFJgHOxaCF0vQm6uIDTo+GDgW/v4M2bP/ajr9oFSjdfhW3F53h4r60IGckPPofjrVCRHhZHz9Th+7vcxt//QBEdzh4caNXx+vpbIknVI/uGUFRbQYveeoGYd67edIv+r0xbgLFy4kI8++qjNvueee46JEyeSm5vbus9sNmM0Glu3DQYDpaWlJyzzjzTwf5Gfn3/ayj6biHZ2LqKdnctfoZ2dqY0t3S5HXbgCRb0v67Y9fjgNEQPJkbXYXB789CYykiIAMAEtlQfxaowczrmfR+fv5nCtBYCqZgf3L9zFR9P7MPAPP5s07IFJaGryUBQshgVXgtcDB5cjX7GAUKWBK/rFMX9TKQMCGlHv2ue7zOOiR4wBndqM3eWluM7GE2vhmcnZJDn30pByIf/Y3HZF51qzkxXNSfi5BjM0OIg6RRi9sk7D+j4d4LQFONOmTWPatGn/3/OMRiMWi6V122KxYDKd3VPPBEEQhL+2Sk0yBT3fJcdQS5XZQ70+kRmfFbYenz4okagALRlRgeBx41+4BH5+lIrLC1qDm2OcHi9ljfZTqo9sLkex4HKQf9ObYm9EqtlHVloSt/TUc02MmlST15d9PGEwaAxk23ewYHw0C4oCKLVIXJHqZnCsDUN1LQ1qf6wOT7t7Ndrc/GOdhd5FEq9P9if3sEz/5JBTqv/pcMaHQBuNRtRqNSUlJciyzLp16+jTp8+ZrpYgCIIg/FfVFhd3/niEe3L92a/twp3fFbc5/uH6IkobjgYtDUWQ+y4N164mx7uXL8e5mNnfH4UEkgSjU030CnHjtFva3+h/JSl9i/X9frckoag/SKxtH9nyQTTVO8E/yrc+zsrZUF9IjqmFF5J28GnIR0xafxlBtVtRFXxPmNTETTlty1QrJQxaFW6vTG5JC/kteqLU5g6b9t6Rzopp4k899RT3338/Ho+HIUOG0KNHjzNdJUEQBEH4rxSShFalwF+nItigweFuPw7F4jza+yEpaLjwYwxL70NzZCt9gB7BGWSOe5kIjYMu+/+J5ut8zBkXY+5+FcHx2Sdfn/Bs5IG3I6196fjOkBRQan3HDWGwYQ70vBZWPedbt2fME7DhX7B+DihUSP3/BolDkOsOIh1YBhkTmZrVjGF8PB9vryfapOHmPoForGVc2jsKu1uivMmOy6PGv3ElQQEBENfPF7WdBc5IgNO/f3/69+/fup2Tk8MXX3xxJqoiCIIgCCctMkDLa5f14Ktt5fxyoJbYID1lDbbW4waNklDj0enaQYmodr+F5sjW1uPq+gLGulah3PMD1O4HwLjlTdy2I7QYZuMf0j5T+f9Fq/XDkzkJRUAcUtlmCEqEoCQ4sByp301IKg0kDofGoz1NGRNg5wJoOjrm1euGDW/BhH8gaYxgCKMioCfWuiNcHtzEhQm5qBsPo1xVRm7fVymstVFjdpId5U9ckB8eQzIc/gavpEQRd3Z8hTnjn6gEQRAE4VyTHOZPaYON5fnVfLWtjBsGJ5EZ6Q9AXLCe+87L4Oe8KgDcHg+aytx2ZShL1oF/ZJt9qr1f0VJ/BHvVwZOuk1KtRwpMgKgeULkTmkog+wKkAz+BzQKmyOOfsUIzfOf8ntuBPSSLNRNX8YXmQn5WDsPSVIdx14doS9awp9cTXPujhc3FjRTVWXnhpwLWHazlQIsaS+wQpJby9mWeISLAEQRBEIQ/4NcDvpQIdpeX55fkkxpu5KnJXbhtRAovLS1oTUUp1x/GlTCi3fXOpLHwu6nmaIysLbRQ19iAy25rd83/17e3wMEVED/QN1V8wRWABB+PB60/lOZCr+t844LCMttfHxBDsSuQWz/P47XlB/hgXSFe69G8WyodOy3BeLwyAXo1syZk8PrlOUQH6imzKKhUxlEhReNpKGtf7hkgAhxBEARBOEmyLDMwxjfKw6RTER2oZ/HuSsxNdWwrasAry4zODAdA4WwBtR5H9iWt11uSxrHXNASHIbZNud6Bd7GoWEVz+X6oO3BylQpJhYG3w/4lsPQhqM6DxGGQMAjOf9WXxqFyl6/nJjQdRjwIusDj1/e8GrbPI3LPv8kO943dqTU7OWzsfbRybgwqGYNGyazxGcheuHvBDp76fi8PfLmLl9YewSKraWg5hcHSHeisGGQsCIIgCOeSsnoz4wIryJgURJp5C8aWQhoGDsEv2MKP9bGc3yOabuFqXEUbUKj1GKq24ozoRmnXGeyrbOabEi1Lvmrg0UFPMSqriHh3MUqdEbe1mSC9kojGbSg9qSdXKYUSsiZDaKbv85RfGLLsRvp0qm9dHJUWrvwCdi+Ew6t811z0byjfAkq1r+enNJcAaRXXDz6PLUc7Yp7arufDyR8SmPsyPXWVXNm/GxWNdubltp05tjSviolZmQxTVAAZp/6QT5EIcARBEAThJHi8Mm+sPMQLPXQkLr4d6ejA3cC8j5BHPcZlffuibDiEuaqRWkmLtrEcR/rlbGwOJ1DSoYiG0YEusuLt/Gt9Ef4D00nKnwP1hyg7by63+NcSvGkpjLnv/1OT9mRLLax+FqliO1wwB2ntP3zBDYDbATvmg9YIkgI2vAkDboHfzrwCkL1oOb7A365KO1+5AinN6Ecwe+id1Ju8Mg8N1raLAAJUmr1ojM6TrvfpIAIcQRAEQTgJHtlLeYMdl60FbWPbXgzp19ewp1yI2+HF3lRPqU2DrPYnKSiYrupSdlQbeHRZFQ63F3+tilemdWW0Zz3kXIkc0YXw5kaM65/CPfE1VKbok6uYLMOer33BDYDOBE2/Gw+zawFc9hkEJkJALET1BP9oaKloPcUb25ciTyhQhZ9GyY3DQ/il9h121G4C4BJCaGkcSa/4QLaVNLZep1JIJASoUOjPjsV6xRgcQRAEQTgJDquN98frsHkknEljkMN+k2LB7UAjeWmqKeeGtX5c/ZOHa75v4eavijHrE3hw6ZHWNXNaHG5mfZ1HZUUJrHwGacEVGFRerNM+h6SRJ10vt6UB6fDK4zvqCyFpeNuTJAlUanBZIX2Cr1dn8F24s6dCQBx0m4YidQxX1P2Ln8bW8eNUHcnRda3BDcD6qiVMytRwfrcoBiT70jTEBul5eVp3Mo1WWiQjZwPRgyMIgiAIJ6Gw3oHHG80em5GvzRGkhWq4uncT3VffgKPblbidDn6oMHKorrn1mvxqO7+UWAnQq6m3HP+E02B1UauJJRZAlpF+fgTNVV/zR9JXutVGlHEDkI7NzNr9FZ5J/0SpUMOh5WAIg5GP0FxThiGqJ8qafNj4JpirqZj4KUv9/8a4sHpif3kQo7mS6KBEqsJ7kYCWZwa8zpaqtSRq9AyTtaSvmEZyl1vo1SsHz8gerDhoJtIASblP0Nz3LuDM5xwTAY4gCIIgnIQAg4bPNpXx77WHAdheCkv2qvj08uUcaWyht9rAhqqWdtftLGsmLkjfJsAJ9FNjTOoOv6p8i+3ZGlBYa1FKXkB5UvXSaTXI3S+Fqt3kZdzB5+Wh7Fvs4ZKcFxkx1Emo0oKk0rOiRMModzEBAdFgrgYgev3jRPZ4k4uWqLkk61/0TtWR797AJyuvB2Bq8jVMSbiBrp5y9J9NAbeD2H0fIvd8gHxFJEv2VHJeqBoOLsMAOBP6oNH5/aHn21FEgCMIgiAIJ6HR5ubjDW3H3rQ43Oxq1KBQhPL5PgcT0gxsLmpoc07/xCAcXpm9lc24PL7p1q+N1BN98Cs2T1lB1vZnMdoqQRuA5/AaFKmjKaupp9rsptnuIsKkIylQjZ9/wH+tm6zUcHjoq1yxoIJmWxMAm4oauHdELLcNSaOupQGV10K1S0uA3ggjHwbZi+rAz0zaPoOuA++mPmoEJdJO3t/5bmu58w+8T1djAH2tdpyXzqfCE8jXxVre/bkUOMA1AxLZ5VATOOQlkva9i8NpEwGOIAiCIJxLtColaqWE7XeTiBxuL59vLuVAtZknJ6YwqWsYP+ypQZLgwh5RHK6zsfFwHbeOSMHjhYRANcP33oFUvoV9vYeTF/0A16baUexZiGL7J9Rf/wvzd7t5Z20hsgxBfmreuqIHg/5bgFP4C4qmUvJtXWm2tU1++favlUzpFkJRrYv6hnoSQz3w4yxf6gZJgp7XIPlVkaSzkuTdw3sVP7crvtjhZKtuADFuC9tqYc7q40Hee78c5q7RqSyydOGWvnfgZzrz2cVFgCMIgiAIJyHcJHPjkEReXX48nUKYv5ZQo4Ymm5NL+8RRZ5eY1jeRKb3iabG7OVDdwturfZ+05qzwXTciNYhpuEDth9kt8eaGeoalZ5K8bS54XOxu9uPtNcfTKTRYXTz1wz6emOhCLcn0SolBqfzNXKG8byBhEIoT5LpUKiSUyER7qxju/Bxqu0D3aYAEe76CbR/Dhf+C/B+RbQ1k+UXwKxDhF0H/8OFcHdGb6PJ8FAEFGA8u45uGG9rdY3tJI8EGP1oSRqPtiAd9ikSAIwiCIAgnQa82MjpBjWpcOrvKmogw6YgN0lNSb+OmoSks2FSCQiFhdXr4z7pCFBI8MO74wncapYIwfy2XdQtAWrqNssHP8sEGO1aXhyaX5Mv07XFR2th+PZmCKjMalZrVBxvQqo/QPenoVHKvF2oLoGIHWaPfJtSoodZ8/Pq7+xmJKVuCq2QzpI2CJQ+AowWUGhhyjy84qjsMRb/gjevHRK0WY7dnKK6I4NctTqzhCm5KSqeLNR/KNpEdez2//K5uMYF6IgK06AIjTsdjP2kiwBEEQRCEk6DXKEk32THEyPQwyHgcdSTrWqgKTOL1zWYO11q4bUQK7/9SCIBXhhX51TwwLgN/Zw0jdAcIa96DV5lDw2XfsaRQQ4ujjhHp4YToJHDZkKNyCPfXtLmvSa9idGYECmT+tfoQO8tCuW+sjpz4YFAofBnClz5C7OFP+PSii/lpfwsHmhRMjHMxqGouEgFoQhLg50fALwR6XOELcnL/DQNvA0npS/4ZP4BYh4PduVq+3ePLQ5UUaCIm2IC3JRDFoDuYGeTl+wM6KprsAIQaNfSKDyQ13IhR17beZ4oIcARBEAThJKlbjpA0fypJsty6TznxI7YV+7J1x5jUeH9zbEtxA3EGD//QfoA6/+vW/X7pE7jBP4qpk/pTHZaN5HHiPf9V3BHdSVaouXFIInPXF3P1gAT0agX5lS38tK+eGcOSeWfNYRosTuZckUOyqt6XoqHvzag3vkPm1N5kBu8HbS2s/wg8DuT+t0BALNLgu8EvFCzV4LTC0Pt8U8hLNsAFr6MsXk+ZOp3v8swARJp0vDWgCe03N4HLlwBUbwhl1dR3WVmmQ9L6Exdl5ECzRGLg2RHcgFjoTxAEQRBOXv0h38rBvxFQ8AW94vwBUDubuConqM3xixNsbYIbAGn/EpT+EYQs+RvpLbk0SgEo9nyNZt3LpDZt4OouWr6Y0Zd70uu4N2AN72Xv5Nr4OvaUNzG1Vwx7Kpopa7BD6UaYdzFoTXDt974xNb+8AhU74JL/wLAHkQJiISoHdAFQd9A3RVwf5LtG6w9hGcgFi2HFU6haytAcHd/z2DAT2l2ftgY3AFhq0VRsZILfPsZXvUuENQ+VJBEccHYs8geiB0cQBEEQTp6u/UwmQ/1eZo3Usq9Kyw8FLczOLCF1VArfHJTpEuVPj/CaE5cl+5b1U+xaQOLUSdBYBMNnwZfXkyTLxF35Jaovrwa373NQrF8Ir53/AZ9WBqNTK9CrlWBXsG/yD9TL/gz47kYU9UcHQJdtgh9mwsA7wT8KyVIDK54Gq+/TE5ICJr0K5iqI7IHkNMPwWSQ4Srm9b1f+uaGJcB3QcqRdtaXGUij7GpwW1P3vorvGcIoPtWOJHhxBEARBOElyWCZyTJ/jOyQF9L2Rrksv45tBhVzYJwk5LJOrCh/mc8PL3BpXgtJWB2GZbQsK7wLN5b7f+iBsdjtc8Bqsft7XQ5Q5CeW2ua3BDQDWOoIqVhNu1PD3sSn0cuRySJfNlT/asTeUHQ9ujrHUgtMMyx6DI7uPBze+loC1DlmlQz60wjfAuXANiuo8JmUYeffSdByGSLwZE9s/hMShEJqOPPFlAqK7EB8e1P6cM0j04AiCIAjCSVJEdcc74R9Qsw+324nKZUXa8j7Ym3AEZ/LQl3l4ZZkZvZ9hYrSNwJA4/L6YAANu830eqtgG0b0gYyJ8OR2Uauh2CeF1m0AfDOajPSYBcUilue3v31JO/y7+ROU+jXy4iIKE+3B7vWhiQ1g14Un0SKQd2U/I9nm+C9R+vsHLLittZpH3nu5L0Fm1p3WXZ+xslnn7cP/8KswON0F+ar68bCIpQ2yw9UNQ6WDwTLx+oSgs1UheFyhObtXlP4MIcARBEAThD1DoAvAYw7HXVVITOoKAi0ZR6g5GoVTy1MRGHv6+gO8OuAgITaG/3UOMWg+rnoXQNAjPhoptyLF9kQbPhMiuSEsfQU47DylpBGRf6FufZvcXMPgeX0B0jFJDS48bsTocvMI17LI5mKIJ5+lptdy/7R4sLgsA/UO7M7v/TUTaWkCphfNfRVJpfAv7HRs/FJwMWz5o065CbwR3L21sTQraYHVx8ecVLJ7Qk+gJ2WCrh3Wvouh5NcQPgoiup/1Z/xEiwBEEQRCEP8DhdqLd8CZO/yxqQs/j6WXFqKjH7pGY3DOOhTP6sKPcwnOL92HSqVg97hECltwOtQeg9gCyfzSSvRm2zQVrPQDSzs8gbRwMusv3uWjvt8hKFQx/EGnze7ij+7Khz6us3deI09NATmIkSm0LSwuOoIr6qDW4Acit3cXuvpOI3LMYfn4YNAY4bzZMeAl5+6dIxjBkpZbfrwt4yC8dh7u8zb5Gq4uKZgfRv9zk26HS+oK0oCRfwHYWEgGOIAiCIPwBDpcXbfVebMP/SdGhEmbH5hJb9A3NgdnssU+lxdGNbcUNeLwyDVYXd26L5vFxnxJbvwECYlGGpaFeeBW4Ha1lyn4hSP4REJENk16DQXchKVQctGgJSJrMfmcoMz7Zjs3lAeBThcQ/L+1BToKCF3bvb1fHiqZCOLjCt+G0+AYLV2xH6nIR+IUgNVeAWn98hpRaj9JPRqmQ8HiPzxIzaJSYfjtDatBdyJISKTS9w59rRxGDjAVBEAThJO0pa6TQHcK/Mj/h4eW1OGQ1kr0JKrZh2vspg369kQRVPfajgQjA2mIbY75T8KT9MvJiLuOrIg1uY3Sbcl0jHoOABN+Gxg8iu7LdGsI1Cw5z0YIqlhfUtgY3AB6vzDfbyrHYtAyPGdOunukqky+wiesHY56C5kpfz4suAJpKYfO7MPoJiOsPxgjoPR0zh7ltTDDKozkfNEoFM8eHEh4RAuf/E674HDlxGLVh/UF7ds2c+i3RgyMIgiAIJ8nscPPIt/s5VONbDG/tAdiePYLnErajL14BtgZMDXu4vM9AVuxrOz08KdTIukN1vLHGgjzsdfqrD6FzN1Kmy0SrTqGHrm3QsPZgA5VNdlLCDDT/LsNnl0g/pme4iNFUYlSdT3V0Jesr1qFT6riz6410273Et85N2nmw/InjF/qFwMSXfb1HSx+GlJGQPh5KN5HabTKfFPyTe6dcgcOpQ62xEOPfgp1E5KAEZG0AioB4asvrCQuPPD0PuAOIAEcQBEEQTkJts43aFltrcHPMN3ub+dt5F5FZ7PskpNOo6CoV8cq0Hny2qQSFBKOzIli0s4IxWeFoVAoeWm1GqYhEo4xGRubHG9unqSyptwJwqMbC7SNT+Wqbb3zMtGw//h64irAVb4HXTWz8cHqMmE1t9t/QKdWk1hSg6HIxZE2FjW+2LdRah8fegnLU47D+dTi4AjkoEXniP8k+coDHulzL/LIVVNsbuCxqMH31aZQqvTT59SYj+uh08PL6Dn6yHUt8ohIEQRCEk6DGjfa/zIqWjw7ZlQPiKdB42aWuJz5UJlCvQqNS8PLSAvIqmtEqJV6fnIBBo8TjlZEkeHVSLInmHbgq89qUOTQtrPX3R+sL+ccl3ekZF8DfkusI2/Y6eN0A6ErWEJL/GXGmTNL9o1C4Lb4kmjvn+fJOJY9oU67b5eRHTz+c0z6DSz9GShyKwmlGsfxxcuZdxQv7t/JeTQPjHR50LdUoCT4e3JwDRA+OIAiCIJyEAJ0KrcJLSqiBQ7W+WUsBejXPjw0hySRTM/YN9pLE95XLWFr6Dff3epAZw8bzycZiusUEML5rJP2TguiqKOLH6SlUlxUSZj9M4rp7kFoqkAfeDUGz4Oinqv7Jwfx9XAbvrDnEviNmDlWbefj8bOIOrPJVSB/EwSF3clCtQKPUEWspJsDRhGLRXa2rJFOaC6MehdJN4LKCSkuVXxrDij9HEX85Hl0QSksNVOeBrQEAqXKnL0jwulGMeoJu0WfvgOITEQGOIAiCIJwMjR67w8k/x4ey9pCCKpeBexMOEbzmDrDU4M6YSlVwAnH+3YFvyD2SS9+0gTw42ITWGI8DDZGBRlTKXiTs/prEFdOpGfwUG8Z8jcsrkezch7LsEHJALDFhwUQF6LmqZzCXxjbQZHfTrNZw+HABXYKSsScOYc/Q27lt45PY3L6ZUHFF3/Nm9i0kHwtujpLzf0DqeQ3WulL2p1zPjB9cvDZ4KAN3z6MyfhLBwx5Bu3t+u2nj2BrQ+4X8KY+2I4kARxAEQRBOUs9wCP7+VnpYq7FMeBPDFze3HjPu+5Lx2Vq+DRvNDRmzyDuQxPkr8wnUq3l0bCwDksNRHU1kKXscHBz/GW8WRrFo5WFkGXrFhzFrbDiWWhcxYVBTWoD/6icJKFlF6OjHkfO/p2fpZg5d9RnfZw1n3+FFrcENQKm5lE2OKpI1Bt8MqqM8Kj0fqC5neYuZTYtaAChWJjLQGEn091dD7+m4Eoejzv1Xm7bKvacjhaaczsd5WogxOIIgCIJwkvwVHpReB7QcQVe3p91x04GviVaaKSxJZnleI7LsWxH4vu8KKa0/PjjZG9aNLXIG3+2sbF1ceFtJI4vza6lsslLdbEFz4Cd0hxZDz2vg1zlIxeuxpI7khYJPKLVVUWGpaHf/YlsdGNvOcKroeisvrTnCppKW1n1R3irk+EEQkga/voZ68zsw+U3k8C4QmID3vGeR0sZ10FP7c4keHEEQBEE4SbroTOR+M5B+vA+l19nuuDcgHr0ullV5Le2OHai1MeDob094FtvWtw+Q1h+sY1hqKPXNDuIVMvtmbKXFUYg6KIqkij3UhWew8fCnhOhCGJ80nsKmwjbXZwT3oWbcCPwKl+I0NxCYNQKrXw5+mgKajk41vzjbSNcjX4J/Pzj/Fd8Ky04zBCcjXfwfkEARnAoq9ak/sDNABDiCIAiC8Ad4I3JQTHrNl5spuhfSsXxRChVNw58hwT+DpJCD7Kpwt7ku1KBp/e1sqSYrytSu7Jy4QEIMGppdMuvjhvHulofJb8gHYGBoDvcFJ2MqM1Fnr8PpcTIlZQqLCxejV+m5PutWorWZfJDfQmXTBVySbSBRqiedYr4fUkyhHIG/0kVq2QJM+YvwJudA9NF/OhER4AiCIAjCH+AxRpJf2cTL+zMYlzyYLqnF+MkWPMFp2DQx3PZRAS9NTmb6vH04Pb4Bv73jTHQNO94jIh1YRvfYSfRPCia30LeuTFywnot7x5ARbuC99cU4TatbgxuADbU72B7ag0czr+Pvu95g4f6FpAWm8fe+s+gSnIPGE0VGlIlAfQt3fLad6Mi91MeNRKNoJN51mPiN9x9vhNoPb2hWpxyvIgIcQRAEQfgDXH7h5MkOVh/Yx+oDAEbAiFZl5uubDVQ02llXbGPRdckcrHNi1KrIDIKgMN+6No015ehr9tAj9y0em/oT5Y0OvLJMdICO+oZ6CrVKZNxsr97a7t6bLKXcG3gVL/b7F3XuKuwOPzT2RLqFZ7Sekx7hz7yb+tHQkMbK/S2sKmjknWHjiBpugoPLkE3RyL2uR44f0K78zkAEOIIgCILwBxh0GryK470xYUYtGZH+mB0utApfvqiqZgdpQUbSpCo8mgDsgalodXoArDY7UlQ/Arb8m64fpmO9dBvXfZrXmmvqw+t6UW/20jO6N7tqd7W5d5ew7nxVEohCAf9c3owsyzxxfvtVkMP8dRyqlLA5PewsbWTMQiW39h1O35xRuNT+DEhMR63sjP03IsARBEEQhD8sM8JIYogfY7IjcHtkdpY20icxmEqrgq7RJi7oFoEyLBrC0lACmt9cG2HyY3N9Bj37/A1reG9eXlnUJpHmq8sOcsfoNCTtMHLCtrOjZgcAQ2OGkhnQi5XFbhbtrECWIcqko3fciRNfBhi0HGm2A2Bxenj5V99CfukRdr5JT0Kl7pyhQOdslSAIgiD8CXomBPPmFTn8Y+l+1h6oBWB7aSMr86t5fmo3kkzyf71WGRhFfJCFZfZryI4M4kDN3jbH91Wb0asUaNTBDIwayIDoAUhIFNQX0Ghv4fxu8fSON6FTKfHTqpHxnvA+caH+9IkP5LsdbaeTX9Q9HIOf/hSfwNlLBDiCIAiCcAoarK7W4OaYw7UWKpvs9E+O+T+vjU5IJTq4ilqniklZgXyy9Xjm8WA/DcX1FhTG/by96+0215W2lNJb/RDvra0m2KBh9oR4EiODT3gPo1bFyLRAZo5O4Z21hbg8MtN6RTG5a9gJz+8sRIAjCIIgCKdAqWiX3AAAtVJia1EdvRP/P2kO/CMIBa7uZ6fK7OLngkaMWhW3D47A4fbicja0u6SwuZD+kb7p5/UWJ3d+fYivpuv+6y1iw4K4a3QgU7uF4PHKxIQHo1F17hCgc44sEgRBEIQ/SVSAjkndo9rs6xETgATkFrYPTv4bg2zlpczDLLkhlTcvSmbxviaK6mwYFdHtzh0UMYrcg67WbY9XprzB+n+Wr1BIxEeGkRQd3umDGxA9OIIgCIJwSpLC/JkxJIk+CUHkFtbTPTaA9Ah//vbJVoZnhOF0udCo//+rAetrdxOw9A78gjPYkfkquUWNbChs5FZtPI/0fYo3dr5Cs7OZwdFD6GGchs3PzW1jgtlb5mFtQRMhxvazqP7KRIAjCIIgCKfI3+DF6fESYtDww65K8ioKAOiTEIzDA5r/IduB1lYFgLq+gIsP/J0e593JEW8AQYnBxAcNp0doLzzuFpL3/8i2KDVr6t7ms4qddAvrxb8G3kJSwH//RPVXJAIcQRAEQThFWjV0jwlg8e5K8iqaARiYEkK/xED8df9bLicpNLX1t6ZmD9lr/kZKtytxRwzGcGQLIZ9eBBojZVfN59GN91FnrwNgR+1mqmxlvDv23Y5v2DlMBDiCIAiCcIqiTSHUmkt5bFI2tS0OlAoFkYEaogP8/ucytFHdcI55Ds2a2eCy4kkcjrvfrRiMJgjPgqieULmdAlt1a3BzTKWlkuLmYhIDEju4ZecuEeAIgiAIQgfoHh1Hg81MhMmFUWckUH/ihff+G1VgJAy+DXfSUPDYUYUkYzCE+g6aomDaXChci1EX1O5ahaTAqDF2QCs6DzGLShAEQRA6SJDeSMuR+pMOblpJEqqY7qji+8Gx4OaY4ETofS3pkb24JO2SNoeuzLyS9MD0P3bPTkr04AiCIAjCOSRIF8TN3W5mYPRAqixVRBmj6BrSFX+t/5mu2llFBDiCIAiCcI6J9o8m2r/9+jjCceITlSAIgiAInY4IcARBEARB6HREgCMIgiAIQqcjAhxBEARBEDqdMxLgLFu2jPvuu691e8OGDVx22WVcddVV3HXXXdhstjNRLUEQBEEQOok/PcCZPXs2r7zyCl6vt3Xfk08+yVtvvcW8efNISEhg4cKFf3a1BEEQBEHoRCRZluU/84aLFy8mODiYzz//nFdffRWA6upqwsPDAXjxxRdJTEzksssua3Pd1q1b8fP735e8Phl2ux2drvMnKRPt7FxEOzuXv0I7/wptBNHO0yErK+ukrzlt6+AsXLiQjz76qM2+5557jokTJ5Kbm9tm/7HgZtmyZeTm5jJz5swTlvlHGvi/yM/PP21ln01EOzsX0c7O5a/Qzr9CG0G082xx2gKcadOmMW3atP/5/Llz5/LTTz/x/vvvo9VqT1e1BEEQBEH4CzgrVjJ+++23ycvLY+7cuX+Jbj1BEARBEE6vMz5NvLa2lrfeeovq6mpuvvlmrrnmGj777LMzXS1BEARBEM5hZ6QHp3///vTv3x+A0NBQ9uzZcyaqIQiCIAhCJ3XGe3AEQRAEQRA62p8+TfyP2rp165mugiAIgiAIZ0jv3r1P6vxzJsARBEEQBEH4X4lPVIIgCIIgdDoiwBEEQRAEodMRAY4gCIIgCJ3OWbHQ35ni9Xp58sknKSgoQKPRMHv2bBISEs50tU6LCy+8EH9/fwBiY2N5/vnnz3CNOs7OnTt5+eWX+eSTTyguLubBBx9EkiTS0tJ44oknUCg6Rxz/23bm5eVxyy23kJiYCMAVV1zBxIkTz2wFT5HL5eLhhx+mvLwcp9PJrbfeSmpqaqd7nydqZ2RkZKd7nx6Ph0cffZTCwkKUSiXPP/88six3uvd5ona2tLR0uvd5TF1dHVOnTuWDDz5ApVKd1e/zLx3gLF++HKfTyeeff86OHTt44YUXePvtt890tTqcw+EA4JNPPjnDNel47733HosWLUKv1wPw/PPPM3PmTPr378/jjz/OihUrGDt27Bmu5an7fTv37t3L9OnTueGGG85wzTrOokWLCAwM5KWXXqKhoYGLLrqIzMzMTvc+T9TO22+/vdO9z1WrVgGwYMECcnNzWwOczvY+T9TOUaNGdbr3Cb7g/PHHH2/NOHC2//f27Am1zoCtW7cydOhQAHJycjrtgoP79u3DZrNxww03cO2117Jjx44zXaUOEx8fzxtvvNG6nZeXR79+/QAYNmwY69evP1NV61C/b+eePXtYvXo1V111FQ8//DBms/kM1q5jjB8/nrvvvrt1W6lUdsr3eaJ2dsb3OWbMGJ555hkAKioqCA0N7ZTv80Tt7IzvE+DFF1/k8ssvb02Qfba/z790gGM2mzEaja3bSqUSt9t9Bmt0euh0Om688Ub+85//8NRTT3H//fd3mnaOGzcOlep4R6Qsy0iSBIDBYKClpeVMVa1D/b6d3bt35+9//zvz5s0jLi6Ot9566wzWrmMYDAaMRiNms5m77rqLmTNndsr3eaJ2dsb3CaBSqZg1axbPPPMM48aN65TvE9q3szO+z6+//prg4ODWTgE4+/97+5cOcIxGIxaLpXXb6/W2+SPSWSQlJTF58mQkSSIpKYnAwEBqamrOdLVOi99+/7VYLJhMpjNYm9Nn7NixdO3atfX33r17z3CNOkZlZSXXXnstU6ZM4YILLui07/P37eys7xN8/9e/dOlSHnvssdbP5dC53ie0beeQIUM63fv86quvWL9+Pddccw35+fnMmjWL+vr61uNn4/v8Swc4vXr1Yu3atQDs2LGD9PT0M1yj0+PLL7/khRdeAKCqqgqz2UxYWNgZrtXpkZ2dTW5uLgBr166lT58+Z7hGp8eNN97Irl27ANiwYQNdunQ5wzU6dbW1tdxwww088MADXHLJJUDnfJ8namdnfJ/ffvst//73vwHQ6/VIkkTXrl073fs8UTvvuOOOTvc+582bx6effsonn3xCVlYWL774IsOGDTur3+dfeiXjY7Oo9u/fjyzLPPfcc6SkpJzpanU4p9PJQw89REVFBZIkcf/999OrV68zXa0OU1ZWxr333ssXX3xBYWEhjz32GC6Xi+TkZGbPno1SqTzTVewQv21nXl4ezzzzDGq1mtDQUJ555pk2n1vPRbNnz2bJkiUkJye37nvkkUeYPXt2p3qfJ2rnzJkzeemllzrV+7RarTz00EPU1tbidru5+eabSUlJ6XT/fp6onVFRUZ3u38/fuuaaa3jyySdRKBRn9fv8Swc4giAIgiB0Tn/pT1SCIAiCIHROIsARBEEQBKHTEQGOIAiCIAidjghwBEEQBEHodESAIwiCIAhCpyMCHEEQ/rCysjIyMjJ49tlnT9s9HnzwQTIyMmhubsZsNvP8888zf/78P1RWnz59uOaaazq4hoIgnI1EgCMIwlntpptu4sMPP8TPz4+8vDzmzp3bZkVcQRCEExEBjiAIHaKpqYmHHnqIfv360a9fP+666y4qKysBXx6bjIwM3nnnHcaMGUOfPn147LHHOLYM15o1axg/fjw9e/Zk9uzZjB49urWn5f3332f69OlYrVauvfZawJfF+I033mgtd/ny5W3uc2x7xYoVjBs3jv79+/PCCy/g9Xpb61tVVcWtt95Kr169GDVqFHPnzv2zHpUgCH8CEeAIgtAhZs2axffff89tt93Gww8/zJYtW5gxYwZOp7P1nEWLFnHPPfeQnp7OF198wfbt26mvr2fmzJlIksQLL7xAc3MzZWVl//UeAFdccQUXXnjh/1mfmpoa7rvvPhQKBU8//TTNzc1tcs898MADFBYW8vjjjzN16lSef/55Vq1adeoPQhCEs0LnyywpCMIZsWrVKiZNmsT1118P+AKMl19+mfz8/NZzZsyYwfnnn4/ZbGbr1q3U19fT1NSE1WrlpptuYty4cYwYMYIffvjhhPc4ltMnMTGRuLg4Nm/e3Ob4bxdm37VrFzabjRkzZjBu3DhGjhzJt99+C/iW19+0aROyLLcGTeDrSRo5cmRHPA5BEM4wEeAIgnDKzGZzu33Hgg1Jklr3HcvHo1arW/d5PJ4255+MY2W73W4AbDZb67FjmciPHfvt+R6PB1mWGTFiBLfeeisejwe73U5MTMxJ10EQhLOTCHAEQThlRqORQYMGsXTpUrp3705gYCAfffQRGRkZZGVlcfDgwf96ba9evdDr9fznP//BZDKxbNmy1qDn944FRnl5eeTn5xMcHAzAsmXLCAoKYuHCha3n9ujRA39/f95//338/f1Zs2ZNa7Dj7+9PTk4OW7Zs4fDhwxQUFDB37lxeffVVEhMTO+ipCIJwJokxOIIgdIhXXnmF888/n7feeotnn32W3r178+6777bprTmR4OBg5syZg9fr5YknniAxMRG1Wn3C67p06ULPnj1Zvnw5K1euZNCgQUyaNInVq1fz5JNPMmHChHblKhQKHn/8cdRqNWlpaa3H58yZQ79+/XjhhRf47rvvuOWWW9pcLwjCuU1kExcE4YxqbGzkgQceICoqitGjR1NcXMyzzz7L9ddfz0MPPXSmqycIwjlKBDiCIJxx7733HvPnz6e6uhqNRsOQIUN4+umnCQwMPNNVEwThHCUCHEEQBEEQOh0xBkcQBEEQhE5HBDiCIAiCIHQ6IsARBEEQBKHTEQGOIAiCIAidjghwBEEQBEHodP4fAGCcoi6HG2IAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 569.875x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(\n",
    "    x=\"longitude\", y=\"latitude\", hue=\"status_group\", data=train_and_labels, height=6,\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "267ddfb8",
   "metadata": {},
   "outputs": [],
   "source": [
    "def replace_with_median(data):\n",
    "    region_median = data.groupby(['region_code'])[['latitude', 'longitude']].median()\n",
    "    def geo_update(row, df_geo):\n",
    "        row['longitude'] = df_geo.loc[row['region_code']]['longitude']\n",
    "        row['latitude'] = df_geo.loc[row['region_code']]['latitude']\n",
    "        return row\n",
    "\n",
    "    data.loc[data['longitude']==0, ['longitude', 'latitude']] = \\\n",
    "        data[data['longitude']==0].apply(\n",
    "            geo_update, df_geo=region_median, axis=1)[['longitude', 'latitude']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f6f9045f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "replace_with_median(train_and_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f3dd7e45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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J3y/vbpdyxawM3vimlivnZFJdVA1AbowWZ+RIbqwbx/rP7Zw7UeCfZ42iuLGPdpuHMclm9jX2opBJqe1y8siKEl6JXop+7euEMucjxAwjuO85uqb8jS6pFYPRSJRe9RtNmIiIyJGIKHB+J6hSxuM7+3NkVavJ9vmRxppIPj2St7Z0U9/tYW5eFHZ3gCve3k1apIYHjs3FSC/GYB/eox5H0bAF9rwFthZccRNZ2RUFhN3JS1ttjEw2ceaEJKZnWVHJpKwubafVHsAQ9OBu2I8qIZwV3GlJRvnV7Viad3Hr8U/x96bVbG3ZSq4lnyuGX01kez3lQhLeyaeyqSJIdUc3u+p6uHBKKk+uGmzT4fAGCB4Md3PK2AQmpBhQyOUkWkUD459N6354YwnYmunOPoXtwTE4nDqOFaQI7SXg6oHE8Qg7XyVFkPLAgle4/JM6AgffiPMmpbC2rK2/O5cvQLfTR4/Lx40f7uO6+dk8+GUZsUYNt3wbZGvtwWjagsADy8uo7nAA8M639Vw1O5MPdoZtc3bU99E1/Qz0SgnCjldAbUaSNBHLR6eh18fTNfYaauPGk2wVc5CJiIj8MogC5/eCRII8eTzEjyLg6CDdayMj2MrMUc187hvNfV9V027zcNyIeFKsGv6xtpb7R3UR/fVl4OwEpZ7QvHtxKiN4vlzLE9sGUjXMz4tkQkoErTY3n+1poarDzpzcaNyCGsmud5CPPgMAe2cjuo/+HA4CB2R/8GcezVlM19yXMbp6qemCM9bqKWmVcPkMNxsOdLCnoQ+AvY29yKRDV2UsOrj2uCBadTkRmmSMMh/I5D86DS29bspa+nD7gmRG60iLFMXQIPa+C7ZmgpZM3jRdxMPvVbLrz3EI7y4Fdy/M+Rscknx17paz+PzU56h3CJjVMl4udrOzrmdQl8FQCIkgEAqBRhpEECDWpOb9nY39dcwaeb+4+Y4XNlRx+vhknt9QRW60GlPJm9BbAsNPC3t1KfXQU4u8p5bopm+pPe4TsE7+NWdHRETkD4QocH5vyORIjbFALLh6UOitfLahk3abh+QIDTqVjMe+ruDWKXoSvhM3AB4bwhfXEDzjC8waH2q5G5cvwIQkHX/OD7Ghy8Fz66tpt4fzQBU19lHbGcdNc+7GWrEUUqcQ7KzpFzcAhEJoSj7DlXECvpZiri2bTFmbk2HRSiZF+3hybV9/1eVFzZw6NpGn11b2l1m0CnqEHbxQdi9x2jgmxE4kJSLhRy+9rsvJZW/uZF9jeNVAr5Tx5p/GU5hg+qVm9/eHz01JVzmdvj5ana1Ys2cyTCLBFoziiXXtGFQyTJ5WSJkSzi9mbxvUXNZTRc7XZ6M8+j1SNl5PXdKNfH6Is55CKsGqU2D3hFNnREvtHJ0fid3jx6JV0OUIJ0sNhIZGnnb7gyhkEgxqGXePD2Jc9U542yxjDphTB+LuAAR8qLpKCIUmIQiiS7mIiMh/jyhwfs8kjaO7rYlFeR7WlLUzPz+G17fUApCi7BsQN98R8KLqq+bskruZMfXPuKQ6Elrfo7l1GvbQFNrtHpQyCUq5hD6Xn092N3HW+HisvrBbeEihBYks7I11kL6UBeyWFbJHmsmxoxRE69XoJD68eFlcGMuyvWFbjg67l6LGXh44oYC15e2kRKiIjmrk6ZJHAcgx5+H3KvlXbK3u7Bc3ADaPn6fXVvKPU0eglA1N3PlHYF/nfg7YatnSsJOJUYvo9AX4ICKOedp8lJtsHJNvgWATZM4Lx0HyD3XxD+liKO2VEDHsTOaUPMMz8//Ma+UyrHoVwxPNPL+hCoBh0SoKHZvJm7qILowkmjXc9fl+QqGw7bJeKcPmGbg3ThkVy5yIDk6eWE7y+ocHMs2HAjDqbFh+/aBxKDU6UdyIiIj8YogC53eOJSqO8Z46LpySQjAYRC4VcPmgNaALbwEcmnJBkCDRRiDEjcAjM1AViKYt5iQSDFKUNgmPzNYyhlKU3i4a9cO5b68GqeCnL3o8jo4eFBIVfZNuwLDx7nB/xkQ+TLyRv70djmr8l7lZPLmmsn+rYnyahXMmpfDq5hoA/MEQq0vbqO5wsLO2m/PnBHH5XRiVRk7POYce279OsFl70K38UIqbenF6A39IgeN399Hp7QVvFAWqC3hmZS2ddi8njJ5ETZaSOxZFcozrU4T3DnpPSRVwzBMQNzJshAwgkSIMPwWtzEWlehJpOQLz99zF7MQJhDLmUNZUg3msFZ0EClxbsfZUs7Z5Etd+WcF9Swp46/zRCAgoFVJmp6p4fmMdpV0BTsiUcqx8FXGSaITNh2Sfl6kgaRK47YOEcsiYiCxh1P94BkVERI5kRIFzBJCUmMSVynqa7D4iDenc90UZj+3wM3HqQ6SuuzL8y1mQwKzbkPZUsTX3r5y9tA6PP+yePTFFx50L5KR/eCmSg9sGMcCzi1/Crw5x3LsuThzTztnpbhyWPJoXLkVmayCQOIGH3wobkaZEaKjtdAyyw9ha1cX8nEjOGRuNyaCn0+7lja0DW1wyXyYPTnmUBEMsb673ce2MH7e9ARidPDSWy3Ej4jGp/3W7IxVf0IdSMOCwWbjt0+LvPMB5bn0NhdY0FhgakX5x50CDgBeW/xWO+jsBnwscHUi1FuqUafT4orB7ZXzSXEBc6qNIZTKCB7o5pfszCis+AiBoSqF10YtEBI08dGIs2RYJRe0B1pa1kRer4+z623nM3447IRV9xVqwtRCYdBXS8ZfC7jfCLuuFp8BHF8G0vxJa8AAhRzsBfQIkT0YXnfW/n0QREZEjFlHgHCFIjbEk1X9ARmwC1x9tpLxewxpS0J7+Ffq+ClSORoS972CLGM59bTmD3Mu31PRyoN1K5qE2EYB58z3UR31IdZeHx1cfYHFWAUn2VdQbZrO+N4VFgoDTG/4VnhGlY39zH9+npMXG7fE7OenbbEpa7IOOSSUCfXY1TsHKFRN9WINd0N4F5uRB8Xe+Y1SyiZsW5vDo1xW4/QGOGR7HSaMT/7DbGmpNBIpOO43dLrQKGaOSTHQ6vJydHWRu0fUoU8YNbeTuwSXTM+59Ha+cMh5vMESXI0iMRUZlp5d4k5IJSVp63H7quuXsTLiF7BEXIg248ZlSqXJp0ajkpCpC1PQFWF7Uwsr9LbT3mThb6ETeuBV549b+00kcbeDpgxGnEdAnIOltQrC3gVSOMOwEBI1ZjDYqIiLyqyAKnCMErVKGI3M+tO/gucprmBo3A4PpdEzOJhSfXNhfz55yPAf2D93q6XAGwqs8oQHhI3F34/GG7SY8/iCGvnKE4g95Uzuej/c3Muu0OBYVxLBsbwslzTamZVkpabahV8pQKaS02zyMTDKxVzqS40dZKPliIEFntEFJmlXHZ7udnDjHi/SbJ+Hb58NbKaPOhenXgSFu0BiNagV/mpbGgmEx+AIhEsxqlPI/3tbUoZiVajKjpZw7OYWNFR3Em9WkRStQ7imGtElDbKbQx9Lg03P3XA0f721jT0eI+fkx3Lu6hD6Xj9PHJbCjUcCEjcW9H9HtTORD9zDc8kRGK/V02DxEC1Lu+ryM3fW95MUauGlRLk+sPkDt1LNIr98yaHxCVB58dSsAUqBv7sMo4iejQiDQtJtA0kQUil8m/k0gGKK0uQ+3L0BKhIYIMa6OiMgfGlHgHEFoDSYibBmMjxnP2sZVrG1cxZzsi1EcUsdat5yjsibx7r7Bqy1ZFtkQgdM57AI+qgg/HLOidWhsleB1YLGEkAhwoFfgvFFmonQKVuxvpzBOR96x+dR2ObG7/YxKMjJJ10pIoefuZU3csCCH5j43CSY1KVYNf/ukhL8dk4+05ivY+s+Bwex4CWILYcx5Q65REASSIrRDyv+oxKmkLO9x8eTqA/1lG8qlfDj7XnL33A8zb4KNj4ZtsXTR+Obdx20bfVw8Xsbru3u4YUEO9385IDyf3VDDjTNjGJXmp9hyHJO+OIUlE29nWSCS+i4HqVYd68raOdAW3orc39zHE6sPcMKoBB46IOO+hc9g2vk0IZkKyfBTYNfrg8arqPqa1un3kUwLUkcbQus+7MZMdAbTfzUPHXY3r2yq5bn1VXgDQaZlWrlmXhbDE4dua4qIiPwxEAXOEUZuVDwXh27i2LRKPIEepJKBODE92SdTHn0U0/TRDEtL5JGvygkGQ9w0WUdB0f0w7y6CRZ8gsTfTmnMmbclH89o7tUxMi+C0cYkIQgd0V3PMaBuzEnSM3X8DytVbGDXiTC6bPJIOwctpX0n7XYff+bae54+JZk5wBc/MHM0Jn1Zx/Ih40iI1FDfaWDw8Lhwb59Cs5d+x7/0fFDhHLA3boW1/ONJwVH44+/uP0NXZTnFTH7GaIPqO3bywcXBaC5cvwH5/HLk9NbDteRhzPsHoQlplsdy2yU9Ju5sepxeLVkFD99DVvLf29nGSfz1VVi3BRXejlo4m0afl7W31rK/YT5xRzZWzM3njm1rqupx0Obyo5BLW1LjZNXk2hcdNpqHPT3z560Q27xnUdyDnWGIr34Nvn4ZgAEncKLQL7gVJOuh+ftqGrVVdPLlmQOStP7ialW7VolMr/kVLERGRIxVR4BxhKOUy8mMSMXSZ6e6zo5VVw6xb6Ojq5o7ueXy20gFUoFVIee7kLJIbPyFh77PhVA4Vn+JZ+A92KMfiUxhQy2S8dE4UdreX93c0MnlaNpaMOQzv/IJQyz4kzbsBEKrWECFT8rU8ky7HYDubR7baGZ9rI7nxOVacehV/3eTg+Y3hcP9/nZOCWgokjIXyLwdfSNL4X3+yDheqN8B75wy49etj4cSXIHnSkKp9nS08tLKSSTEhJhuq6Go7gEI2bUg9qVQeDqgXkYmvr416YnF2d2PUWDilQM30WD//N0ZFm2Towz9eL0XdWUyGZTyX73yIJ6e+wzub6llXHs591tjj4oEvS/m/OZk8srIcgBijimfOHEWa0oH1hXGsnvAR7YZZzLF8gtAVdjMPReaiNscisVfD1GugfCU07YRtL+Cfeh2y/0Lg7G3oHVK2vryD8yd7yBQFjojIHxLRvu8IRCoR6O7u5pSXdrOpS08Ige3JF/JZ2YCHk8Mb4MHVdRi69w/kqQr66Wup5P8+reO8V3bi8rlot3lYur2RE0YnoIjKxj33QYL5S/rFDRAO2GZOxhkcqpdtniA+XRz4nHg8bq4cpeCpeVreXxDgzJQ+0iP1kHsMmNMGGhmToOCkX2l2DkP2vT84ZpGtGcqW/2DVOoeE+SPSmB3agqSvEatByzUTBqc3MGvkTE3VEFKZYc9byOwNROrk+PSJXDFSznXdf8P0+hzO3nMmC+JdxBkHbFXkUoGrCvyoq7/CL5XhCXhw+4OsLR+c2DUQDOE9aKh+wZQUxiboMMr8RK29BgI+chVtOPwhhKyFeBb+nR3Hr6N25hOE1t4H6x6EDY9AzDDIWYxQu5FgXyvlLb14/EOzkv87mnpcxBqH2ttkRukwqMXfcCIif1TET/8RSGVjG6tKWki3apjY9yVC9Ro6so4bUm9/qxNbzjAMLMWRvpja+KPoiRxLckM7HXYvjb1+UiLUPHv2mIFG6nRcIT9qlQncPf3FAXsXIzISkG7oJRAMIZUIzM6J4uThFtQmI285snl6mReZpIu/jFWQU/82ytSrkWuVoM2Ccz+DtpKwkXFULpgSf/V5+qXxBXzU9jbT1iNgd0sJhATKm21MTLcyItGI4odi9QT80FE2uEyuhoOrHt/hdntYXdHJA1+WUd/l5Kjs8Vw9XkdawycsbHwE61FXsKJJRZLGx+LYXiJ2PAn7lgIgdFZSnHQRL+538w/p48jqNh3stIdhH83htVM3UNwZwmvrJFfeSt4319GXvZCPuovD1+UPEalX0m7zDBpTSoSGvy7I5puqLo5+Zhv3HDeM2pTrWdJZRP7220ieeSesfIPVE9/i8c3dvJX4MdKGgx5WwQDsegNm3oxfF4tN0BK77xk81hwciROwWGP+ozn3+AP8Y1U5KrmMwgRj/0qOSSPngqmpRBvUOHwOAsEABqXhP+pTRETkyEAUOEcYPU4vuyobkYX83DNVheyrx8DrIC2rfkjdGdmRuCJ11Mx/hXtLoli5sgdBKOeoglhOHJ2ASaMiN3Zo8kO1Uo1v3v3IP704XBCRgSRrLoX7/sGbRx3Ni+VKZubFs3R7PZe9V8bUTCsnjk7nOKGPVzfVcOWXTl465XaydPH0J2YwJoT//U7p9fRyoK2Xd7d2s3R7ODZQglnN2RNTOOW5Lbx4zmhm5fzAQ1sqg5yjoG4LnuhR7M27jiKHHovJxMh9m0hKyaCpz0edXeCKt/f0J8X8rNSGJyTjH1lx6GseY1bKKGZ1fgJ17aA5B4o/6D+FN2kazxQJLEwGzeavBp8/4COj/n0yOqsIZC7A3V7CgYnns8zTysq65ZyafQbvbG3nqtkZ3PrJQKydyelWel0+HvhyQJz9Y3UFM7KjmJh3IbHb7sVgq6Qj7xzu3OxhcYYCc933zg34PU4eCJzJF+93MSlhMheqWkkqeR+mXv4fzXtdp5Ol2xsIheDE0QnMzokiEAoxLsXC6BQDGxo28MzuZ1DJlFyccxbZ0SMxqs24vH4kQnhLV0RE5MhE/HQfYbi8AV7d3ccd043oBHd/ePzhpY9x87z7eGRNLW5fkMJ4A+NTI9jqkdLUG8XK8nCOqFAIlu1t5q8LspFLBaTfjzFjb4Nl1+Abdyny2beBzwnRBQj2FqQ7X2SC8DKR81/luC9s/WH7vy5po7HHRUG8kb/My+LOZfv5osLJyKx/nZrh90RFq42i+mC/uAFo6Hax6UAHY5LNPL7qAONTrWiVP/CRS51JaOo1rJLN5tLlPUAf0Ed6pJanjrVj7NhBTWhkv7j5jq/Ku2mZPpNUhRaCvrCRMoTfc5kKvOEtSb/SSIcNKnogYE5H2l05qB+kSkIdFbxnvpj3K2O5ZLacHFcFT6cdQ2VfA6ZUOUu31fPkaSNp7nWjVcowqGRc9tauQd3Ud7kwqeU4YqZB5bvg7MaVtpiOrb3sbZdhjxqN7tBYS6ZkQkkTKN/ooLHHxXs9LrY1WVhaUImssxZ5RPK/nXdBAAEIAe/vGJj7V88by76Ofdyw4QZeG3cXnf50Kpu8tHX1kBnh5LYv69AopJw1MZnJ6dY/fLgBEZEjEdEG5wgjyqBiXKKWqk43Eo2J4IgzAdDWr2W+bBcXTknjilkZJFq03Le8lJX7W9lwoGNIP/sae/H6QzT2fC93UWsxzpSZKL++CVbdCesfhtaigVgroSB1dmFQTiKAkmYb0QYVy4tamJxuJU4vw6z9/Rp/9rl8bK1uY+mOSlYU17Gz2k39D3gk7WnoITtaT6/Lj9079DgAscNoSzuBuza7BxVXtjtYXR+kI3IiMZqhwQwjtArUFZ/B0f8goIsdOLD/Exg94IGmqV3NOfly3txnp2LsneGUDd+RvYhQVB6hiZcxLdZLjkVJrsPOorWPMW7zcww3TyY7PsBfFhmRylzEmVS88U0tNZ1Dr2Vkogm5VEKzMhXSZ4E1C7sikiUj49haZ2d3yvmgiw5XnnYtZMxBvvoOno/+kGfma5FKBGq7XFSYpiAhOKT/HyLJouGsCYOFULpVS06Mnl0tu/lw1M0ccGRwxmvF3PhpOZcv3c/dX9Vx7ywTOlz86bUdbDjQQckPBKkUERH5fSOu4BxhSCUC5yc08myVlQ/L23jtqDNQ6mOg9HNinfuJ1I7h9s8H3GnjTSrSI7VDvFASzRriTCoc3u8ZfXodBIxJSHtqDjmpHOq3QspUqNmAXuIDBq/OKGUSgqHwSsdxI+KZk6Hj90h7rw2hpx6dLECWvZlouYr3akxsqrExO3eoF9CoJBOlLTZOHx9LXYeHzRUNxBhV5MUZMB707ultq8Pv7Ol3rz8Utz/IB0W9XJ7VzbQ0PeurwrnFBAHumKIhZusToL6M5qiZaPLOxrL/NeiphfYSQkueJ9RShFOXiEGq4fzJJm7e3cHVsz+kQNmKQaNCqFqL8O4ZCECcysidS17A7+qDghNwRo4nSirDSzYJvgrO+7KTqg4Xc/KikUsF/rogm6fWVGL3+MmO1nPe5BRCgMvRB3ItDdbJmD2dnD0yDoVMyv+taeHmKa8wP96DesN9CPVhexxF237mWtZx+dhH+cfWPgL6eKTm/8wGSyGTcunMdAoTTKwobmFUkpl5+dHo1XKmqePxC7E8sLIKX2Bg9WvDgS5q0+3cJ3uZzDF/YmtVF9tqOnnwhEKyY0Q7HRGRIwVR4ByBJOml/K3nZlozT8RZ6kSZkI0vchiPVsextaiTa+dl4/YHUEglpFq1QIikEjV1XeHVmmFxBmblROEPuUk0mwb17bNkotz6T5zZx6Epeitc2FNHoKsWae5RkDCGTNdejh82n4+KuvrbnTkhmS+LmpmVE8Xx+UYK4w3h/bDfUZqF9sYqDHtfQZk6ARq/RSVTYw54uDYhiynxebxa1MexI+L4ZHcTEF5dmJcXQ2OPi8woIyc9u62/r4unp3HVrHRkdRvRf3UrOpmKM0c9wIvbWvvryCQCCqmU7XVtaLPdPDTSRnG2iW6vlDRFN/lF14OrGwI+ehvLeNixhNOnz8GEHUtUHKGmPRhlWtzmHAyCmdVbqpiRHUVMnBZ9eyVCQAIaC8y4MeyuXb4CYecrtE19kAQJmLr3YPY2Y42fQJVby40T4YJPnXxZ1MKXRS1MTDOz9EQrbqkeqdZCcaud3dUd/F9uLyGNFY+9kxf2B3i3qITxKWZePD2PlOIn0TQZw4L4EGRdFYzP72JGdiwalRIk//mWUbRBzQmjEzhh9IANl9PrJ8LtokdvoLaraUibLr8SXeXnHDVlJp+F4ul2eNlc2SEKHBGRIwhR4ByJpE5F7u4hYd39B72SbkIeU8hx+gj2tzXw8MoyTBo5V8zM4J/rKpmVE8UpYxJRyqWYNHLkEgEEP263jDiTZlDXXlM6jXFHE2OQ4/Y6UFV8CuVf4j3uFXp6ughqzGjSsrg2KOOoTBVVLi3+kIT1Fe1EawTOHWUiSeOF2s3YG/fjVUdiScwLZ7iWHL47pv5AEF3tKpR6M3RWQGcVROVBZA5CRwUT1N1EFI7kti1Brp6TiVImJT/ewN6GHuJMSm74oGhQf/9cV8WlOU7Ub5/Uv713fuI6JFPm89HuZmKMKpaMTOClTdUsGRmPyl+Ceuv9RGfOhS1PDnQk14BERnLjcuxczskrnLy4IJasz84J20dNugpr4yrMwSCfHLcYmbMS6fYPCaXPhvUPhj3XANJnw+hzEWo3E+k8AB9cwHfSUxmRSdwJb2HVyXnvDCPd6LB7QkiCPhRCN3n77qbGOo1KxzguSm4h7sMzcJ+ylNf3BnhlV3hlcG1FB7sbeli3eDTYKn5wjuMjDGS7dcTqfpo9jM8fpKHHhUSABLMGqURAo5BhV8cR1/AFc3ImsGJ/66A2aYoeAKxdexg54lgeW1VBU4+HHdXtjE6NpLyljzVl7awvb6cgwciCYTGMEKMii4j8rvjNBY7NZuO6667Dbrfj8/m44YYbGDly5G89rN83ahOMOguyFoRf6yIByAKePD2KqnYHKrmEj3c3UdzUR3FTH0cXxpIepcOglpNs1eLxBRmRPNSDSquUUaHI5bFNB7hl7p1EzPgrSnc7CkGg2TSSJS/uA5pJidDw2gI506sepsE6jZlZRqJiEpD2bEOnSGZNm4a/F42i2xXkwkIXi0OVWBMz/2dT9FPx+PxoS98P27Z4bBA/Jrw19+FFEAoiAJmGeJ468WVqgwHiPT3IvLUsbdQzMzeKpAgtLX2D3axlneWD8kTFb72TiyZB2uzjWVPRxX3LS5iUbmVWTiSukB3JjFuRem3I5t2NUPIZIXMKvqyjUex4jpAyluvHGZkaG2S4dzO4e2HSlbD3XeitRzrzZqTF79Emi6E88WK8HgmZGWeS2H03+FxQuQqmXUdw2Ako1909+OI7KzC07yIQmUeP0cxdHx9gd2PYgFmjkPLmCVeT2b2REfrw9llw7t10YeLdou5B3fS4/GxkJFOTktEXVCLse6//mDt5JnvsJo4eZiEh5j8P+Nfc4+Kf6yp5c2sdUonAJdPTOWtiMhE6JYqYHOSN67lsggWXL8D6ig7MGjl/m6olf//N4fcgZTz3fVGKTCJg1shZXdZBZoyBJ1Yf4LO94fhQmyo7WVHcyvNnjyYjauhnQkRE5PDkNxc4L7/8MhMmTODcc8+lqqqKa665ho8++ui3HtaRwUFhM6hIJacw0QTApHQPL2yoxhsI8tneZgQBnjp9FAIC49MifrTb6VmRKGUStlU3coz3C9jyBNKAl/i5T/L0qVMoa3ejkkv5pC3AcRP/htZWh0FjJiTXoPF3srctyPlf2Ppdjv+2zoVUbeCswzj0jVohxxczCrm7F/Qx4eB83TWDcncJfY3Ya9ZwbctKbhz1f8xoPcBVk47D7ejk3ulaNuZZuffLA3gDQYxqOTLV0JxakXuf5aiT55JiieW8sZGk6/z4OnegEHoRIjMRvHaEHikotAjtpZQnnMI7mtvY1eTkIa+LcxpuJRQzPNyZQgu99ZAxB+q2UBc5nctLC9jbHA7aF6HN5rUZz5K/6mwAQn2NuMZcinbzE0PGJTjaqYyRUtzg7hc3AE5vgEe39vH03PEc/c6SsPiTqVCd+hkxBiXV3zNG9oUknL/Sx9Xjr2R48mzkDVsJxo4gEDeaSeoYrNah9+y/YuX+Vl7dUguAPxjisVUVZEbrOKowDpPRxNaEk/E0lnDrpDi8swox1X1F/LZ7wNGBI30RTeaxpFkdPH1COnXdHux+NU2t7TwyvInHRsnwSDSsrAvxwLc+ylrsosAREfkd8ZsLnHPPPReFImxsGQgEUCqPHNfhw52JaRG8dO4YVu5vxeMLMC8/hvEp5n+bu0enkjEnL5rQvg0IHzwEQEf+BdxUFMeqqoGtmBsW5LCqysG5ri+g6AMcp36EO3kGm9aV9oub73hpexfHjPNi1ByenlUSiYBr2CnIPr8CYeIloDKAc6j3mdLnItucjcOlZUvUEmK8NnId3yJtLyEipCH1hNO4f0M3jy6MRuHdTyhuJELTgLu1c+YdrG43MyuiDYO7GSr3hl2+40bCihvD22MZc2DK1fDWKQz76gwuPfEzqnIT0Xqr6Br9f1jcdeHOQgcNxONHweYn2Rx5FXubB8RJp8PLK7UW7osejqx1D77EqfQEdWjzjx+cJFMiBZmCdncHjT1DhW9Zhw+3zYPOE17Bwe/G8sEp3LJwDX96u5jvvNtzY3Q09PnRyKU8tLmPp4+fQmTeIpSacC6tn2p27vUH+GhX45Dyr0vaOKownIler9dy4VoJs3ND7K4/wNyUTKaO+gcBQcon9RqiK0LcMNnA7csrWFM1sCr1+gI1o78+CU3aTI4zxDN88kSqfvNvSxERkZ/C//Qj+9577/Hqq68OKrv33nspLCykvb2d6667jptuuulH25eUlPzaQ/zZuN3uw3p8P0YEcP5wHYIg4HR2UV/T9W/bAMjlctJrNva/LomYzaodg3+tP7u+kgunpuHtrEU+8ixahGj8TS0Y9HpgsDiI0Mppa2mmyTPU/fhwmVu5XEdo5tMkB+tRVK4Op5g4NAu6IBARP47TXKlc9n49Nk8xSpmE2xfN5mhFB+bodCYZevlkegv01hAIOJGmTIMRZ4KrCyRS5PZmpstXYWiyw8qbB/q2pEH2IqjdBLvfAns7nPM5LLuS2N49yONmYNn8Ft3RE2lMmoXx2JfRejsQZCoIBkEfQ1nPUBunna1BXPE56E3xKHQRxH9+FoG5dyORyBFKPiGkj0OY+hdYdRe6Jf8kJ27oqtOxWWosXRsHF7q6GCOv5oPzhlHe5UOtVNDlDPCPVRWMT7Nw5ewk7HYbvb12YKgR8H/2fsgZFqtjd33PoPLMSDXl5eUEAgHkMhlPnl7IqpJONAoZz+/o43kEIAjYuTkljrL61n5xA+FVqft2qngl4xh05R/BjBtJ3XgNptNX0NUZRBp00e2Q4XKFjfKVSiVSqRSnc/C9e7jct0ci4tz+ehyuc5ubm/uT2/xPBc5JJ53ESScNzTFUVlbGX/7yF66//nrGjRv3o+1/zgX+rygpKTmsx/dLEwr4oT2r/3VfQAEMdnPudvpINMpQWE/FF1WAQm7CGhnJRIOdhQ0ucmMMeANB1DIpY1JMZKZZf/Bch9Pcripp4dFvOnk852hkHhuM/zPs/5SQxkpo3IV0BXRc9VlDfxwgjz/IrcvKGXbOKRQ4vkH+3plhzycAtRn3wsdQfXgOzL4dNj6GfMb1mFu3Qc2GwSfuqsJvTMFXeDbq+o1Q+TXBWbeyevwrmHRqYvAhnX8n1rLlNNjbeLg2k7MLhhF/ylJkJR8izZjHBJWPl793PcfkGtCbC8Hnga4q7JOupzkUjT/9fEx556OTh9C/NgcWPEicLp0m5x5uX5TBI6tqcHj9HJ1r5vTRUUg+/F7PEilSiZRhqg42uwz47W6SLWqW/mkMTr+Aze3HbIgkwaJHo/j5X0NnaPpYXtxG50EX++QIDfOHxZMeNbAelAmkRWkYX28ZFJzQpJEzJk5BcWXo+91S2u7BlpaLjo/A0Q66WIyeBlh7I5LOA6gLTsFdeCKC246i7EsEdzf+nMVIk8ejVIVXpA6n+/ZIQ5zbX48jaW5/80XXAwcOcNVVV/HYY4+Rk5PzWw9H5D/EVr0Rg0xJMDIXSXsJafJO5FLDoHgjE9Is5EUqKBZmU95o59UtOwmGQtx7fAEJJjV//6q8v+5NC3MYlWxBLj18PakAovUq5o/KpEh3PpHuvUSEBOR5x+MN+lGXfEqzWk+3c3Dix0AwRGdTDULflgFxA+DqJlS7JWyw7OyEY5+EzY9D4rjByTcP0uISuKXrVG6ccwHZoSok6x9ktiChLu00uqQjMKsi0Y77EwmhENdG11PdG8Qht6AefRF9ATn5zj4un2Lm2S0t+AIhjso2cLxkHaz8G6GT38CuT8WnstJrl6FSS4hRdSF0VsAFX4M1myi5kgn+VJo0bbx3YR6SACSovaj6amDiZbD2vnD0ZKkCpvwFj9LMnNdbabG1YFDJeP38sXxe3MGe+h5GJJlRyyWMSgqRG6NHq5L/rPcjN87Ah5dMoqzVhlQikBNjIN6sHlIv0WxELsh54IQCdtf3oFHIMKrluOy9pJuG3nMLMtRE1H8NYy6A2BEQU4Ckfis0fAt+N4rNjyFztiPprIT6bwBQ7HoV10lvQP7RP+taREREfll+c4HzyCOP4PV6ueeeewDQ6XQ888wzv/GoRP4dsorlUL4C/+y7aLH7CPkkPHZiHg9/XU1tl5M5udFcNiWBD4vaeX5jPcEQnDQ6lnizmnXlHTy/oXpQfw+tLGNGThRZ0Ye3EWd2rIFul4ctdQLz0qK5s+YzNhQ/ztq8K8Hdg1XTg0mTSI/T199GIkC02g8NQ7di5N0VOFLnoY3JhO0vgtoMFV9B3nGw+82BihIpVUIS6yp7+GteF6wMRyoWgOTSz2g+dim1qvHkxRlBENBFJVFwiDOSOhigr6uV80w+lgyPxefqIbHqXTQd+wid/Dp+Uyp6rQUM0Vj6F9LMYE0fNF5LZBoW0vB01rGvto3zv3EwMlrFdaF9SMdffDB3ggSP3MAH1QpaDibofPrUAuq6XZS12FDJpTx6UNyaNXKePWs041J/3Kj935Fs1ZJsHbp19n1iTBqGJ5iwu/18VdJKqlWLNiuRxEADd86A+zfbcHoDTE41cEliDQrfJChfEX5fIByFecaN8PXtAEj2vgOT/69f4AAoNv8DV+pk1BrLz74eERGRX4bfXOCIYub3SZAgdFejaN+L2qekVDaShsYG7luYgEUrx6KETY02nl5X19/mnW+buGlhOv6hOwL4AiFsbv/QA4cZcqmEKRlRSCUhutxebo6bR3fSAoKCAmndVhLiRvHYTDWXfhXE6Q0glwrcuSidjN1/hpz5ULl6UH+dacdi7thBMJCEpGotzL83/ABNmw6jz4XSZQT18ZQXXMutm6TkxapJrnl+8KBCIawVS5GlTPzxgUukGKxhw9sIAJ8FrOfhlyqQGWP5qesngjGezxtsbK1rZWsdqMadzimaNsyeeoTIXL71JPDh+oHYMxatgh0NXeTFGXhk5cDKXbfTx8Mrynnp3DHoDlnF2V3XTU2nA4tWQZ/Lj04lIydGT4xx6OrMTyEn1kBOrIFTxyfS3O1mb2MvVp2Ps0ovYfrki3DL9MQratGFnIS0VoT2Q2wR7K3Qshcis6G9DJSGcKyhQ+cl4EH4vgW9iIjIb8JvLnBEfp/4M+bBty/C+oeIHHYi8yw+SC/E7esArxGVNp5Vpe1D2i0v6uSymSkY1XJ6XQOrHPEmNYk/sLXwn9LS58LpCRCtlaBVyED263ljCYLApPQY3L5I3P4sIrydSL0OQsf/E8pWMN2iZtkJaTQHjKA0kCbvRtFVDi3xMPFy2PkaAG2jrsQTNx4heRj+gB+FIMCWJ7Ed/zq2hhLQRaBccjaP7/Ty1hfd+AJu8uMU/FAKOYlEilL2E6JCy5VgSaaipIRcY+y/r/89FDIp8/KjWbq9Hoc3wGPbHDwt1fHq+edg0SpRuLwsGanl3uWlALT0eYgxqKjrdg3pa09DD31uf7/A+aaqk8ve3Ml5k1N54MsymnvDOboyInU8d/Zo0iL/+zQfLT1urn1/D7vre3n+9HwMMeNJ3jJg1B1ImgLmFIaEHOwoB3MKtJfhm34T8s2PDjrcN+oSTNqfvxolIiLyyyEKHJGfhTxxAr2nvYth95sI7h6CphS89k5U6+8hFD8OFj1IgbmFT7/XbnisCpffx/Nnj+a2T4opbbExMtHEncfmE2VQ/eC5BEEAZzf4PaCJANnAL32vP8i3FY3IO0uIctfSrrHgjs8lwlUDpkSIyAo/zIH2lkZC3TVENa6CpPGQOBHUPz80v0ouRSWXgjruYEkmJIyjq6cZfzCAOeglQiJBbfPgOeUtpNXrIBTCf/K7tIRM2BWRJEQYkDuq6GipJ2LSVQibHkO+4SFW5fyd+75uJsZgY0Z2JL5A2LutuKmP1oknk1rxMf2+9oIAw07AoPvf5veamG7llfPG8W1tF/5AkHGpEYxLsSCRhIVWkkVLh8PLK5tquG9FBfcvKcDlCwzpZ2qmFfPB8ADdTg8vbKhCo5RS2+XoFzcAB9rtrCpp+0UETlFjH7vrw1GWg1IVHxrPZc6EPOIbltEVMYaqhGMpkDch3fPGoHahrIX4FQY8Iy+i05SJX5ZMXOmryD09tOWdgy9xLCaPHZS/z1xrIiJHEqLAEflZaFV6dspHU2DYiLx2PZJPL0V1MOhdUCJFqjYzK8rJmxYlNV1hO4xInZIlBUZUegtGtZzXzh+H0xvAolVgUP/IJknAT7q0BbZ9AgdWgjEJxl0IyZMBqGizEde+ntQ1l/U/8D2JU/Gmz0Lx7hkw9Rp6R1/Op/u7eWJ1JcFQiEunnsLckIOoPUtpSD+VJIvmlzNulsqwRCTynQVGMOCn3d9LqK8PVexYpHEFqMyJpAyazFysEhl2SyLaxPEoexs40dJHwTmFdNvsxOukzEjJZX+rkySlE63QCCe/Qaj4QxCkkHcs0qQJv8z4fyJjUy2MTf1he5MYo4q/LsjhrAnJ+AJBFDJQyU1cNjODZ9dV4g+GyIjScu38bNSK8FpJl93HvsZe0iJ1VLY5hvT5fZfwn4vd46cgWsXfxrhJqXkOjcFKkXIcD3ROxirTMllnZaffQv7oyzHsfhaCfmyZx7NXv4D0rAxijEZ0QJvOQllUATIBor2NxK24EhBg3p1IJJp/NwwREZFfEVHgiPx8BOiJm0rkN//g0Mh9vhHnIJWrSEtO5s0JWyn3RROQqclIiMWgDBJ0VuF0KJGEAoT0cRjU/8JAtL0UeeWX8M1BW62G7VCxAs5fSZ8mFfqaSd32t0HnV9ZvwDPi9HCU4Y2PstlyNrd+sr//+J3LD2A5KoaZCSNZ8+0eJIY4ThuXiPq/cFf+MSRSGdGxhRBb+K8rWjMPBroLu2eqgRGHHM4CphUAfh8BbzbO7iakYy5GptIitWb+qlty/w1SiUCiZeBBn2CGrGgjiwpicHoCpEdqsegGgntadUpm5USxvKiFk0YnsrNucLqHOT+Qsf3nUBApYfzYHjI2/B++uDHIqhoY6+og46QPuXWLm8YeF90OCfdUzeG88XOQS0K8Xyllw4ctvPPnWGKMYVfwKL2eKE8b7HkTypaDPhYy58BHfyZy4XM/b3A+N7SXQE99uL+oXHFFSETkZyAKnCOE6tZaKrp89Dp9ZEfpydb4UEak/qrnzIoxsK4rk3HHv4dp/xtACN/Ic9GkhVdXhOhc4g2x9HZVsKNzDzJHDdHBKCJaS0kqXwFZC/Dub6Bv3GUYYtJ++CT21nBgu0Pxu3H2tGAPWYjT+Ae7Xh9E6ukJ/1F4Mp/uaxtyfGmJm3lWN+Oy0jn+pf2MSjIxIulnJlN09YYjDIegNBBDUXuAeKMCv8eNRuYnxSDBpowmxfoLPKRkcqQyI5qD0X9/b9jdPpYXtfDs+ipCIThvcgqF8QYKDyayNGrknDImkQNtdly+AAuGxbCiuAWJIHD2xGQmZfxwrKSfSr60kQ5nA2+PfJP3qqTkW0OcmtBJdtMWtlVnMTndSiAUoqjZyTXNg9t6fIe8CIVg37uw4ZHw67b94WCMU69B6WhksEz9DwgGYd978OnlA2Wzbg3bbsl/eAtXRETkhxEFzuGO3xdOCaDQ0d7Xy95OCVXtLnKjdURZ+zjQW0EwFMIgScBrlzM3qhtZ62bsQT9tvWmoY0Zi1fwyD4Xvo1PKmFuQQFWHmdaIsUQbVETqB38J1/p6KWvaxHE1uxE8AaoSj6faPJfe6YvJ3HEvCkcbwv6lEHPDD59EqggntTxI++Tb+TbqZN7d3IRM2sjJoxORLljNiKoXsJYcjJItkSEzJ8HMmyF6GEkHhqb/SNGFkLXvZavHzP9NiqShx/WzBE5DazHRthbkbfspiT6al3d1ctyIWDZXdtFm97K8qJm5aWqunuJnu81KnFk9JEP7H4l15R1c9/7e/te3fFzE7UfnoVHK+vM8jUgy89jJw6nrdqGRS7l8RjoqhYwkixqF7KdlGv8x/FI1rzjG8czWsG3Tzjr4rELNB0vGcNcxicSbVVR3OEgwq2k4xDA6P85AqvUQY3hb8+Bo1gB+NwR9hOT/3nV9CF2V8MW1A68nX0VQH4ekux6iMum0O+nzuDGptJi1YlobEZF/hShwDmM6Giqp9eoICgrUMg9xvjby1GoiU6LwyBq4bM21tDhaAIjXxbN01A0Y3jwdvA50QITGQtWxj2PJOgqJ8OsE0FPIpOTE/LihbnV3HdNbDuCQJ3KPcwFfrOjFqmsl1qji1rl3Mbr+ZeT73sY79kIU+h8QYhFZ2CfdgO6ra/HEjeebqFO44u3d/YdXl7bx4pkjeE5xFtfFFiHz9MCsWxBW3RH2eJGpOPrEtby9Q0afK+yGrlVIOTWph15pNMGgjkmmNgSjGrvbT1lLH11OLz1OL8kWDfnxJrTKH/6YVDftILFxF7JVd0EoQN3CxYxIMGHrbGOW6gBahYMLT8ji/m9hf0MnIXWQXpcZo1rxo30e6Xy8e2juqDWlbWRF61lR3EpujJ4RSSbiLVriLT9DIPyHHAjG8uL2HYPKepw+StwWFo8Je5U5PT5SrFrWV3RQ1NjL1EwrJ42OI9F8iBCWyECuCWdvPxSVmR559E/Or4WrOyyQIrKwLXwc+c6XUJV+jrvwbHZ7pvJOxdvU26uYFb+YSTHTGempBwSIygHdL7N9JyJypPDH/Jb9HdDW1kptUEp7sJhOdxtR6lh8yhS2V/rpc9RzSlYbj6WejFulY1VnEXv6qlHsejMcSfY7nF0YqzdSZR2Ow6HHrFWSFPG/XT2IDkqwVKzi4xHPI/Nq+OcZKbTbfPgDQVwhGW0xs7A27aHVKZD4AzH+mgN6Xmsv5JiZz6NKGMF7axsGHQ+FYOW+epKNUqrnvUSKvAfFW0sGIgH73Qz77GiWnrWKktpmggEvw2QNpHVsoy75eBZHOJBKDXQGHXyxz4ZEENhd38MbW8Pxe66fn8WFU9NQyKR4upvAa0NmTiEkQKyjC9nn14BUTvO0h+hwQ4rKzvBdt6Or/Tp8fpmSB459i4/r1QzTujGrPHR0dKCNj/k1p/2wJVI31FbIpFFgc/t4aEUZABdPT+PqOVko5b/Mas0PEZDKkUoE+J5Tl1cYWBVJNUqIUqsYlZAGBIkLtmDw7IWezLCHHoAuir4T3qG7owVV+x6i9zwdTo6aOg3b0J3Tf48xAfQxdC18CstHp4EjnLOtLHEs/7fhUhy+8Oe7vPvvdLnbyM46BU3nftj9NuQdC5aUn3FSEZEjE1HgHKa0Bf183fQOb5UNRLO9YsQVzM2ehqXoI4xvPk5CKAjaSEbNvJm2iJEovzlo1Jh3XDgYmSBgkKlwevtY8lIJoRDcfFQux46MQy3/37z1MkUUvrhRNAatTEpV88KGWrbWhL/5BQGeOqWAieP+guDp42AIusHtZRL2d8GzW7W8fr4ZhaxnSB0FfqZbbGi7OwipBFxTb8anjSHo6sH05WXgaCfKWUGlOpp8lZsoUybyhk7Sl58OUiWbjt3ABW/uxe0Le4GNTDTx6aUT8Hs9SAJe2tvbiLEXo1hzN0JvA8H8JdhGnoGxowKA4mO+pNgbTX6Ulmx7EervxA2A34Nl/a0cf8xLWPa+CDt2Epx0FRXB8TQ7BeK0QTKkneGgcZakQddV1W5ne00XNR1OcmL1JFnUZJkkIITwSzUYNL+/LYqjh8fx4a7G/rlWyiSMSDTiPsR9/Ln1VRw/Mp7sf7Ey+N+SE23gvMkpPL22sr8s2qAkI0rJropyvP4gMSYFivqdpOx4OPyZCvpAGwlNe2DEKWCIY0N5O29vC9JmMzAtawmjjz2VCVYf0sgM6P4ZCQsNcXDy64TaGvvFjfeYZ+kOmjkp9WK+bnqPBntYfH9U9S5z4o+luVHPVIWeyJ5aUeCIiByCKHAOQ+pb2ujxNQwSNwDP7n2Wk8YlYNz42EChox22PU90bAHBwlMREsaG8+Xs/xgAWfJUsEzmwWOzeGRNHTd8uI/MaB2jk/8HoeQDPjLad+AbfT7HS4MUtff2ixsIr77c+UUFp41LJD1CSlRcYIiNRaRexZkTktl0oJPVpW2cOiqaVaXt/U5TUonAMfF2IoPdmFv3Idv6FBD2QuoecxUtJ39BTM0nuIIyJkZ6EBwu1MtvhlAAJl9JbcKxPLyipv+BC7Crvofmzl7yvXuI2/04Er8D8o4HrRWadiHZ9iz6UADiRtG86BX+tsXLdUd5WdX8KVEeJ98PVyjpLCfiwMfQWw+zbkW69j6COSFu3KAn2qDi4nEW5pirkLh7Ia4AgHabhxs/3MfW6rCNyMRkPc/N9KPY9CIE/QRHnE+LORdLVAIK2eGdv+tQJqZbeemcsWyt7sLtC5AcoSHRrOGyt3b21wmGwO0P/ote/nsUciknjIon0aJhXXk4ts7MLAuf76jjua2thEJQEKvlwaNHEpc5H9Y/CMFAeDtq8aPQVsrWTiV/en17/72zvbabi6elodXG/FTT4sEkjiPU+QUATeNu4anqLN7ZUY1CGsNpk26lTf8h65qXo5QqSerYhEqdwAc9+VzUtptK1TB21Nto7nUzLz+aUEjAEwgSoZGTEnl4p0EREfmlEQXOYYa9q5UGlw97qHfIMW/Qi8zWPKRcaCsmOOHicIh4tRnqtw4cq92APmkTN2/O54wJyfh2N1HZ7vhJAsfj8dDS50UmE9jfZONAu4PsaD1efxCdSsbwBBP678Wxsdn6ULbtRrHsKhTH/RNrdxFO91BX6VabG4NKzotb6pmWE/ODRqSpuhAvnjOGXfXdJJpUvH18BJ8c8COXwDEJDkbuuInQogeRrXx6UDvzjieoTZ7Pg/5TKezoZsK+pzApBYgbGRaAa+6F0+dT1T403koBFcQtP3egYN39MOMGqNkEPifSna9B/vHs6ktlfq6TVQ0f81b5K0zL+zNx3+8sfSZUr4W6b6BlHxz3DFnOTlYNX4u/t5kG1yJ6o/NQu7tw1uyhVxlLY1+AkuY+ABLMap6ZHkD/7pJ+d3hdxZf4lrzLgaCWPFMQdJH/7m08bJiUYWVEookOuxsBOOGf39B3SJqO4YlGUiy//lZqepQeQjA8Xo9GIaGsvolnvxlIL7Gv2cEr2zq4W9OHPHhwhcnnhJU3w/HPU9psGySMAT7Y1cjE9P8gkrHXFfa8k0ghKi+8nHkI/ohsPKmzWCaZwZvfhj/zrmCAl9Z1cu3Ri9korOTy9OOJX/8I8c5Ouqa8RWPAwPvb63h7Zxuvnj+Wmk4X9y0vpaHbxYhEIzcszGVCmhhlWeSPgyhwDjNqnArqOz3kJsSjkWlw+gdy3cRp4/Dpooe0CUQPw2NORmPvgKL3hxw3NK4jOWIc/1xbxcUz0ojU/edbG9truthW3YlGIWPjgU50SilzcqMpbu7DpJJz9xclzMmN5pq5WejVcoLBELVtXTR09DLBVgrps6FlD4rSZaQPuxGJoCJ4SKqeBXlRrCptRSYRwjYRP4DP0cP03FwitVJuXVbGLRNk3Gn8DHnV14Q6JAgTLybQ1zQoFg4AoSBuRw+xGiUXr3Rx18w/cZbmG5BIYORZoIsitu5zFhUczdvb6vubJVrUmBuWDx1IxUpInhQWKVOvoamlCTtxjM2Uc9GapQA82byee+fcQvzGJ8HdA8mT8GcupMRhoD3xCuKkPWTYO5F1V6La+jgAObFZhFb+E6F+KyqpHN2ka6i1HMeJoxOI0quI0MlRl9w35Po0e1+hprCQkgMNLIrZizp9Esj/u1xN/ys0ShlJB2O7vHzeWJ5ac4DtNd3Mzo3igimpGDW/flyf1SUt3PRRMS19bkYkGpmdNlRUram00btoLtadLw0UOjpAKkWrkPLRCSZSacArN/LCAT3LKtzh6Nb/irYSQlufRdj1etheZ/JVMOIMMMb3V4lJTKd5zqN8+F7dkOa1TSqeHXkNuXs/gb6w0XZ6sJaAJplV3/Tw0EmF2NwBrn53D95AWIDtru/ljk+Luf+EAjKjdGiUPy97u4jI74nfz9r2H4CeznY2VHRgUsuxBnQ8OO0hkvRhu4xsczY3j7+FrSE3HRMvge+8orRWqqdcgR0JlH0B0flD+rXFT6e6w4E3ECTNqmNY/H9m21DdbuPRr8rIMMuYa2zkgbxqritwsm5/HQaVnDa7h1sX5/LhzgbK6lvYU9fFLR/v45VvminvCVIZMY2i7MsJufpAYyV3zz28sMhAglmJRICj861cMCGOjQc6WVwYx8YDHXQ7PD86nryECJ4+JReHJoHqgivxHP8iwVm3w+43Cfk94WzPh2KIB20k5e3hcP8RCi988zR8dXv4/1V3ILOmMzrZzJzcKAQBDCoZp41LwiU1DR2A0gheO4y/mM6Gcm7aE8n1H5fg9gkYleG4NDu7SziraTlvTLuY2jM/whtVyMvt2Ry9QsP5qwQWf21hhbcAVAY8MaOpXvg6vo4qhO9W3aRKHL2dWNUCMQYVzb0ujCoFIcnQ3yJBQUYgFOKaL9vZ1+KCxp1D6vweyI8z8ugpI/jiyqnceeywfnfxX5PSpm6ufX8fLX3he2N/Ux9JP5ALbVyiBn3d14ML9TEQkcFxxnISm76gyKZlV4fASSluXjohHq1Cygc7G1jfpmD5vmZqO+2DmvvKViDseBmC/vD9tOYeQnXf8H0io+LJix3qh1VgDDJ+2c0YKr7qLzNoVKhNMZyZp2Cspp3mXle/uPmOkhYbq0vbeW9HI3a39z+eKxGR3yviCs5hQl2nncYegU6Hj87qLnRZFv76npfL59+NxeBGLmjpsDWzrX0n7qQRTMhYSsDVRSV+/rr3MV6feC9RfY1hI8WEMeGIv0AoaQLrpePpdnZjUMlo6HbiC/xn21ONPW7GJWqZ0vspmjW39ZffMfd+1mkWkhlt4dvqbo4flUBHcw3z05Tkj3Ah6WuiXZnMeZ+7SbYauTdnIubIDGQrb2XWhlMZnnc2DnM2HaYEant9vHtOPnd9Xc/+pj5eOGcss3J+3N3VajZjNZsJBkMUN+uwK+NZG/UQNfu93H/MK+jX/Q1Z0zY8cRNoGXcTwZCMpUWdKGUSCgIlYZul7wiFELY9yzZdIlnRERw7Ip40rZtnt7SwL2k805V68NjCdSVSfKPOJ9DTiDToptw8nbXfhlfX7v20jj/PvYq/bQ3H8ml3tfNG0wbyU07CFnM0974/sN3oD4a44bMqck8eyacx+QjNIa6qXAmAN3IY6wru556tPoSqFo4fGY9GIaW5z0177rkk7nszbAcCIAi0557FG9+Ef+GXh+IYV78OUib/R+/t4YZSJkWp//W8pvqxt0FbCY3OdLocAw95byBEIBRica6RZSXh9yvWoODiKYlIu0bAPlXYfVtjgSUvgEROe20J1zbOYVOdE/CjUYR48xw9j64oY31FR3/f18zN4txhckLNe3BH5BO1790hwwrVbkQoOGFQmdfn5qiCOFaVdvQnpk2PUDE1NgSegXsqqIvDHzMcg+Dl3Ng6KNmJKenqIefQK2U4vQGeWrOfnBg948XtKpEjHFHgHAYEgyGKG3sJIeGFjdU8eGIh39bbaLF5uOX9JrKiNUwas4kPqsKB7D6v+YxkQzKT4ibxdunbJGrjUdVtgfzjYfn1kL8kvDUkCLRaJ3HFG91YdQoumZHOU2sqyY01EGf611sZ9p5OuhxezszyoXnjjkHHNKtvJXaJhWp3MhPT09hQ0U22qheqS5GtuRtCIaIlUt4/6mluKDVy7a4I7hihJH7hQ4Qc7ehUEdhMwznjzSYunKrCKBUoagzbmxQ19DI6yfRvtygkEoGC+PCqSWevg2e/KWZtpYSlp/6dOLUPLzK6e2zcsLYbjz+IXinDjG1IP4Kzk6tn6XhwazdvbK3l/HHRXDJaz+4WBXvmvE2aczeC302RvJAbl8u4YPhwTpevxRkceBjvaeyjsy2dx6Y9R3HnPsxKC3kRhYxsWscad/aQnTObx0+d38xj35QzO0OPK3I46trV7Cu4kctW2rhsZibtNg/ba7qYkmmlusPBPl0MyhM+RFP6IQR99GQsoUWbx9bq3QD4VAEaEybQ1VZGvCYSi+5/YET+e6OnDj68COq2YD19F0qZBM8hxszXflrNV5eO5NxxTly+AEkRBpLjYyHlTEiZGA64aUgIu4i37mePJO+guAnj9AbY1ewZJG4Anlp7gMXSdlLXXcWuY7agMeWga9s/qE7IPDSSd3VLN6WtHq6bn41e5kcZdJIu78aglFA691UiWzfj1MazU1rIx2scTEi1UN2ew7Fp2WTSwLEj4vhkd1N/fxdOTeWtbXX4gyGaeodmdRcROdIQBc5hQGufm9pOB1JZ+O3odfrgkIfivOFy3qoZnK6gtq+WSwuvZNi4TEZ0VJK45iFInQ4zb4Gi9wl1VdI65lzqVXFcMSuIze3nH6sq6HP58QX+vYdKVVsfMokSqaN9YNXgOwI+HL31PFjzGPdPeJ7jc00kebQIb94zYCcSDKBZ8RcmjXqLG/a5WF8rY3JaDseOmMO1HxQxIc3DsHgjgWCITudA/2qFNJw9/CcwO9PEWyfFs6bWy7c13UzVNZLdtoLOUXeQm9CJTuPi5EIzCqs0bMx5iOIIFZxM7PILeMSSRvOJV3LsR+1sb9Bx8uh4ij0BLt3swe4NHvwF7efdMiWnTU4ivbsZgyqx3zj23i8qGZts5tGj5pKw/q9w4AIoPJmE9DwUUsmg7YIovZIkvcBlMzOQSQS64q8jvrOYIoeRsydG8O62OpoOZtFeX9HBmROSaOl10aTT0DfsZgIheHlTDTJJA2+enUe1zYYpopFHKr+i0d7IiamLmWzMJNKah1z167la/+6o3QR1WwAYtuceblp4E3csK+23CfvLnAxijCrSE79nJi6RgDUTyBwo00XR4rcDg4XCocbS3+H2BXEHAKmcmi4XqqQzGF/7NXjCot5vTsUTN57vhzX0+oJ4/EFu+biIWKOKY0fEUaOJp7PJw/MbOog1zsfm9mP3OInUB4jUq6jv8bC508zUdBPXTvGwMD+a/S02FFIpy/Y20drnQS4ViDOqsXU0EGreBz4XQlQ2+oSh29siIr9nRIFzGCCVCCQYZLgJG/5FGZSUNntJsmio63IilUAgFBjSrscZIEc/k8jG5eH9/MpV0LAN0mfjGXM+Hl0Sn2yy9wetG5Ns4saFuUgksL+uHYsqREzUD28H+YKQI2tGHvCByjg4UqvGQrXgx+6z0+GpZkp7K1JPdzi55aF4HURK7YCALxBibUU3M3JiCQRD+AIhlDIJBpWcKH34CROpU5Ibq//xzOI/glpvYlK0n0nNb4M5BTx2PLnHU9zs4PxJqWSGqvHaG5HseRMWPQI7XwNXF+Qfj9BTA50VSDoriGsr5qUl7yFRG3F7/XzT46exd7BN0KjIEJIdrxAx6zZethr5xzYbRS0upmVGkGrVseilcs4ffjnnLDkP84GPSJB28fjxmVz/eTV9Lj/RBiVPzpCQ9M2tNAYu55t6N3ZPLDPnfU6kT0J3d6Bf3HzHu9/W8+RpI2jvbuNP724fdCwlSsrkYb2UdVejkqqYFj+N/b1VyDx2FlasITT+YhSan5lj60ijrbT/T2nx+5xoTCfn3LNo6PUTa1RQEKVAa/gPV760VrIS7ED7oOIEkxqtQorDO/B5HZtkIKHtI/B7GKZs4bxVEu6c/Do5knr8yPCaMsg2Df0cJkeb0Ld0YNLIae518891VQDcd1weAM2H3CfTMq2kWTW09rl5YvUBXtwo5eJpacxMFFBEClz5USV2jx+lTMKti/PIVfegfP9PKFoORnNWaLGf8iFthmGY1PJBCVBFRH6viALnMCDKoCLTDC0+BccOj6Ws1UZWtA6NIoFkq4Zg0MdRKcfwWfXH/W0iVBHUtxrw9dnwp/+JMT2VSFp2g99NMDIHVexwktUmLprmIClCQygUIsqg5uaPi2jqcbG4MI7FhTH4Ai0kxg6NqpsQZUZX/CXanf/EsfhZtF9dC70NBE1JlE67imfKXgbAjAup1waRuWGPEP8hD2dtJAfcBjhka0h3MEXBUcNikEoFYvQKQiEffzs6l+wYAwUJpp83iQljwpmXe+pAbUIZkcFp3+WwKmlE9dWtfDH6OQy2dobPfgB9sA8+uXSQTY7Q24DBXsVJH6p498QociLNpFm1VHWE3cgjdUpOi2tDWP0tRV0Krl/dyc2LctlU2cGO2h4+3h12531zv5dTFLvxNpewJeYCpgTW8Pl4J92ySKJd1USv/SfIVUyaaMJqEfhgRwOf7pFw6fQ0jD8g7kIhMKjlfF6uBQaHx/X6JKyoWcHymgGvr4mxExEEgVkeO9LWvShSp/+8OT3SSBw/6KV28wOMl/gYP/u2IW7a/wmF6QncudjP/SsP4PQGmJVtZWyKmafOGMWjX5VT3mpnepaVq8bp0L8T9m4s2H0nj817jPu/cdFhj+HMMdEcF21Ba05gZ00nle0OYoxKRhidaOQK5mTpiDXmsrKkjdIWO8elS5gY2M5t0+J4+BvbwfNGkhOjp7TFxrry8P3s9Ab4+9cVyBdkMyNRxjsXjqGu20uUQUFBnInA3ncHxA2A14Fiw328H3E7n5f2cv+SAiam/zo57ERE/leIAucwIS42AV1HM5fNTOOuZaWMTzFj0Sq4ZukeChJMTMs5mfNyUtjatpJkXS4Z6jk8sqyPgniBlTIJ4+IfYv44N4kmBdrk0XS6gnz5TS3vfFvPxDQzo5It/OPrCmblROEPhvhiXzNef4BTR8eR+APj8aFA7u2G7hq0K67GPucB2pQCy9q38UbJc7j8LhK0cWQ3FcOGxyB7MaGjH0P48sZwPh19DG3znuGpDwaW8OflRdPp8PDIycMRgiG+reumWS3lGsNqZow4LRxI77/BGD/I1baf6GEQCiDx2jhzZYiX5vUyK9IWtqn4Hg7UtNvdFLf7kMs6mJUTxSWRSkzeFnJcO0lcfzco9aC2Ut9dxs4D9UyKFPhkd9gWI1Kv5Kmj49CF8nncPZmPNzh4f14SiatOHTTP7oKzaPMqeGFDeX/ZHctKeOPcEcQYlLT0DawcnTwmkYDbRULEULup4eku7tw52KV9S/MWrk+4nk69nMi+obmf/rAkjodp18GmxyDgg6yFMOqsnyVuICzWz5qczoy8ODy+AHFmNVqFjGSrjoxIHV0ON4kWLat3lmAddTWRe55G0V3BiLZPuHrq2WQnJ5Bq1SIIAnvqOlHLIC1ChSrkRlb8AcrS90me9H/EpM5hcloWMkcr+t0v0dst5dgEHbMvzMchM1Ld4WBdeccQ2x+A1j4P2xrgnOmpDPvuBgwGCfZUDqmr6CwlP1vK051OLnh1O8uumEJKhJYOuweNQord48flCRBlVKJRyH7yVrKIyP8aUeAcJujVCmolJhT12zgxx4JcKmVjRQfnTUnly6IWPt3p5ajCmZyRNJcXN9SytCG8ZZQRqaGyw8mjmzpRLswhV6vno/eKsbl9jE21YNbIGRsrw+UPMizeyAsbqpFJBU4bl0Rdp4OQ5Ic9V7QqGXX60WQA2JrRfXQ2gez5FIw4kcUSGekqK5OcduLXPBRuULYMe/YSOo5fhtvWiVcdSVAdyY0L7LQ5fMTr5cSYtOxp7OWGD/biC4RIjtBw2cx0JHs/h5Qp/73A+TEsKXD6UsY2VXHltARWNPcxLaIPWeGpsOft/mr+wtN5Yl/4I+FRRWA2KJB09VDd7SPDEktrMAXVwmfZbrOikuk5ZUwiGbpeFn5zAfkTL6dLaiXaU0vs509TNfZ2nvxWynXzs7hndyM3TbyN2O0Pg8+JK3UeHYUXsOaL9iFD/XB3C6/Ok/BBcwJ7m53MzY1iRKKJGz/cx0UzEhkWr6Go0UmaVc2S8SrM+h92q49RW2lrKSEqftJ/NEV2t49Oh4uQxE6kzoj252TCPtzRRsD0v0LByeG0C6ZkUP7kdJgA1Hc0UNpTRZeni0RdAsOsmWgVA1+nCRYNttZazIm5OGUmTi2byuWT52OOllDnCKGTKthZ28W68nZmJ0mobA2ws8HB0u0NeANBFuZN48YpY0n68BjkJ7+FOu8oPGoNmzOvZl9jH96uIBkyOWOSlAiAVimlrstBu23w/WDSyAkxeOs40LwXqWrodQdyjuWdIgd6pYzXLxyJL2SntM2Bwx2iss3DCxtqcHr9nDA6AZVcQmGCidxYPWq5FK0YV0fkMEQUOIcRjT0uJlcuRT3yYuShBqrNZm7+uKj/+K76Hh44oYBuZ9iQUa+UcWqBgdPeaEGvlJESoeH8V7cTOGg1uaq0jRdOTGF2zSO8armK93aEE1V6A/DixmquX5CNVTawpRQKhahut9PQaUOlkGGKG0Hb4leI/PZhBHcP+qhCCp1ypOoTmLbrWqg/JHaHIY6PulO5bWntwQI7qREtvDKhFXPHOgz7NvHxlI95aMXAikVtp5OVRS2kjryPt9YHiLeUsbAghvw44y8/uVE5RETlcGVqM/U7d2GXxqAvPBVJ6nRCPfU4Dam8XB/LlxW96JQyJFIZZ72yq98eOVKn5I5jxnDJZ8VcMCWW1z8qoiDRhCU9moAhkaQtt3JoJqkOWRRahZQJ8UoeX+ViT/tILh79DjpZgM9rZZzSFSTJomZH7eAtJ41SgcbZwE2VV9E69V5OX+umzxPg9qPzkKl6uW5xJAG/ggrHBp7b9zRzQ3PJteRS0jWQ9yhFn4wZBaboQlSxw//t1JS19LG7uQK3vBiH3w6hEGMjx9DRG8+oxAiiDT/ucdfl8NBp9yKTCiRZtD8arPGwQSqHyKz/qoumziaeKX6Jz2re6y+7ecwdnJq/5Afrj0oy0eOOolq9jft3PYvL72JmwixOSrmA8WorNfUNNDpM/bZyAMv3t5NljeeqrKOQVK2CvKPY3dDDHZ+VUNYa3vI1quU8dGIh8/KiiZS7+PO0NPY19Pbb/xTEG+lz+ZibPXgLOuR1QOVqmPx/8O0L4HNA5jxCWQuIcqh54xgzJV3r+Wj3e2hkRk7JPJun17qp6wqLpydWH+CymRlc+fYuHj5pOF+XtJJgVjM62YzVECDDOjQYqYjIb4EocA4jfIEAQiiANuSgyGZi2d6haRm+qerkjrlx2Fweco1+ypubMKrl3Dc/is01Xf3i5jte3N7FuFEz+GDr0NTGB1ptxBccNCYMhVhbXMel75bg8gWQCPCnqWnEm0cwbcFrSCWwr1dNc6+baIMKX+JE5IcInKa8C3ho/eAViepOF8WyPBaVXAxSBV09fUPGsLW6m0vHJFLb0c5He1p5dXMN7180luz4X8fNWWaMJTU9Bz66mNbs03kntICRSZPY1+bli5pmzpqQxFEFsdz1eckg9+52u4fevh42nW2hsaWCzPESXizt5eL3WvnshNvItV2Ex5hGR9J8FBHJSLXD+ORciFU5OGtiMi9sqOamteG+DGoZl4xzMzcvmhXFrTgPPpBMGjmxJjU7leOoHvEwj29WMDJaxqiIIBJlKzdsuRKHz8Fd457CbY/n/Mw72NX9JTMTZ5IXkcuO1p1MsBayKGkONoKMSpyFRPKvY3lKVFo+2lVJTkY9uxurSVJOxuc10Cg1kBvpYVVpE4sKEjGph7rt72vsocPmxe0LIJNKqGy1kxapJe1/EKjvf40v6KO2t5ZuTzc2l3+QuAH4x56HGGEdRk70UPGUH2+iI7CPy9c82l+2umEVmcZCClRTsYWU1HQMTReyrKSHk4+9gti61QDsqe/pFzcAvS4fS7fXMzLJRKSvmRFGMy+eM4a6rrCbu0omkBNjID9x8GdJas0g5HMhFH0AY84L28417qRbamV0qpQd7d/w6I6/99ff1b6Ny2Y8yj0fDvSxqqSVsSkWttd082VRC91OH/EmNQ+eOIyy3hWMjRlJlPbH41mJiPwvEAXOYYTbF6Qh43RKOk28uLOPSP1QTwaLRsZMdRWBQAvd0iwmRrjYMGIN0hYPaYnH8LlRQVPvQACz/GgtrbpcsiKD7GscnN8qxwx+uRwF0FBfy7UfVeA6mNU5GILnNlRx9ZwstrQpmGn/jJs3ZXHxjHQuf3sXW85dRHTDViR1mwHwWvNx+4d6etV5tLQXXkzk3n+SKh26JTMuQUXujlt5d8qJlNpUPH9Aw57KerItMlD/Si7OSRPggq+IdrRzrtRCTU0VSlkMJ49JZE99Dx/sbOgPrHYotp4OFN9eQurEy0jdfDuFBRfxRvwimmwuhOO/4snNraxc10FGlJZr5mkxy/28trOZKZmZyCQCWyo7yY7WcF5yJ5vq+rAr1Fw2Mx2vP4QgQDAU4qk1B7hxYQ4v7ZHzyOhO0vY9hmS9je5RZzI7YgSZ1lO4+d0eOuwBQGDxiFMpky+nxl7Mw5MeISR4kcqUjLRkDr3uH8AWkDFtGDxftIyU0AU88GUXYc+gds4YH8e0Ajc7alX0OgMkRWiw6kMYFUa6HG6KG/v457pK5ubFYFTLyIrW8/rWOv48NZ0Yk+oXfct+CwLBAHZHD/6Amz6/kzu/vYtdbbu4acw9Q+rafXZcfvsP9BJmX+eeQa9fG38/OS0lqJdfzOzEqaTmHs1HuxiUxqQwVk1vsIvI1BkogPquobFrKtsd4Vg+cSMxt5UwwfEtE/TasN2ZOWlIfQBBH41//v1IN/4dYdvzhCJz8My6ky+a9STEdPH4vo8Hz0MoQKu3CJMmmx5n+HNh1irodflQyIT+MTf2uKhoc2CXtyII21mUtuhH50NE5H+BKHAOI+xuP+3WfJ5fUUFxk41bF+eyrry9f1VGKZOEo/y6S5Eu+z+s8++Br27rj1OTvPNVnpz5JkuWhfs7b4SW6yRvoHzvJc6b/TpflSnoc4W3txKMSmZmGFAc/JXV1dNNp2Nw+PZQCLyBIOvKOzh+4VEs6O4hKULgiXMt7JC4SJz+CBHubkKClDcr5JwwSs473w7kdNIqpPiCIaoKrqY0+xIiVHIumdTKM5vDK1MxBhXXFXqpcZ1EaU8yCp2FSye4qe7yQtt+SJ7w6022LhJ0kRjt7QxffwGSJWt4e2cbH+9uIlKn5NiRcbywobq/uiDAaENvOCP4jpch9xgidz3B5Yuz8ZSv4k8l57GlNvyA299s47K3dvL4qSMpzMki4A8SqVcxPz8GjVyKwSRQXuVjW30jUzIjeeOb2v7zmDXysKHytAAJn1wwUL7qbq6bfx8HnL1cPVrFw9+GcPuCrNxn4/+OmkuruwZPwIBOqkEW+jcRgYMB6DxAa8CNTmGgOdTLSPN8Hv908Crfm1ubKIwfxl8/3A2Ewxn8/eRCYo02tHIpfW4vNyzM4e8ryylvsxNtUHLjwlwq2my/G4ET7KjE21KCRK5CEVcA+vD2ys76ZnbVdZAY18bS8ndw+h2ckHEyJ6WfhlUTxSXDrmV3xxa2tGwCINOQSkrDt6CLAePgODpdrq5BNk03FlxD3revoDwYwVrZsJ1s63LunP0Et3wd/hFg0So4ebQRn8qDIikcnXpsipnXD7lXAObnRxP/XdDOqNzwvx+hpLkHr9dHkqyPZpmOnomXEzvxKkLySLp8Rt7dXsyFszWoZUO3JJVSNf5A+HtIJhGYmxvNgytKOXF0wqAfA25fEKsxiq3NWxinzkMf6EWOH0GhwS/XIzcn/Ps3RUTkF0IUOIcRUzKtPLGqot+V+uVNNVw/P5vaTicGtYxh8UZGCJXQVQOLH4cDKwcH4Qv4yO9YziXT/0xjZx/XZlSjXPYiAMM2XMLHU+6gRDUSuQRy40xYIyKQScNbGBFyD9EGJa2HeO9IBFBIJaRaNfQFVZwyKYI3yv7JirrPwm1UEdw34e+8uwXm5MWglktRK6SsL+8g0aJmelYkCpmEq94LJzTUKKTcclQuH5+rx924j2T3XhoD4znjayMefxfQRaJFzaMn5EHfJvB7QfYrJ13URcKkKzG1f8uq0vAXe7vdQ4fNy5+mprG8qJkIjYS/jBQo3HV9uE17GeQeDYC8r4aq6Jls2Tv417vbF14xe2FDNfcvKeDvK8v6bSNetmj48/Q0lu4uojDBxxWzMthe001apJaUCC0ut5O4rg1Dhqrc9Rr5EZnkdFaRuuQV1tb5kUkEkvVqEsyXc9ErxVw1J4PsaAORehVqxQ8IHb8XDqzCKZETlEeiUUtRBZUQVOI/KKQFAcYkm9Gr5LQeYrQaCIa45/NSHjqxkFWlbby2uRaJAKeOSyLFqmXl/lbuX17KgycU/Ndvy/8Ce/V2dEtPROUKC7tA/Fg44UWqAloue6OYu05T8pd1VxM6GHVzX8c+npy6lK93B9lYkUph4ggeGf8X3jpwBzfEzsD8xY00W1LY1/oNra4OMrXxdDU4kEakIyAw3FrIno69TFOn9oub75B0lHJMXC+mU4YhEMSobqfIuYZpxin9dUYnm7liVgbPra/CGwiyID+GY4bH/Vtvpl6Hi1VlnTzwZSltNg/z86IYldfIE0W3AlAYMYo/5d5EfZcLtzOOk7JOonhLcX97rVzLxLhxRM7T4/AGsOoU1HQ4eO6sMVz97u6BegopqREa3q59n2nxE7H4WhG6axAOfAXOLqTDTqDGPpWQQk9qtBibSeTXRxQ4hxEZUXr+NCOW2vYQ22q6aeh2cd/yUpItGu49Ph+1XIpXYkS79WmYcm3Y1fV7BFy9VPY5uGyEAm3V+oEDHhtpG/5CmiUN70lvg1qOQjdgzBthNPDQkmT+770idEoZx46IIyVCS7vNzeScKKQaLfXNm6i11XBZzsM4XVpUCi87W3dxXPYYzn1rF5dMT6PH4SUrWkdrn5vSFhubDnT0JzR0egPc8nERL5w9miBafJF5PL5Lhsc/sPRe3+Vi7YFe4hKiiFt7L0y68teb8O8YdiKWxv0kW+T9Au/j3Y1YdQqWnhxH1PaH0K1ZNjDfMQXQcSD8t0yN2tWLVhE9KLgbgEwqweUL8NDKMhYPj+Pdg6tbU7MiMWnkXDU7kxc2VBFrVHHjolxkUoG/vr+X24/KQvgh7x61GYIBGqc/QnVDK1sP+NnT5MCkkXPTwhxa+vahCjjQNJfQJh+BRKUn0fI9b6iOCjztFbgihqNtXk2HzkCUKYl5yXl8EFGLPyBwwZRUVpe20drnRi2PYH5+2FYIoM3mweXz8+zBoHMQNli/em4Wa8raaOlzM9gK7PCkr68H1dYnsCdMoy16GjpnPVHFL+Gs3MgBzQQsWiW72r7tFzcA0+Pm88yqDr6pDNuSlbXa2FKp5qVjriXrvTl0jDydm8pfZ3vHwHbUzbnnstjRzojIESRpcyDkBM8Pi3anX6DD34DJ2IeAhNPK1qGNGojdE2/WcOWsTOblReMPhEiL1A5KaRIKhTjQ1IHT6cSqkxEfGw6ZsLvBxjXv7em3KfuyuA1v0Mpw62iKOneTb5pAWy88cGIBcokEhTCOR6c/wbaWrejkRkZaxxOlTCQhS0aXy4dCImVimoV2m5ezJybzxb4WEixqThgVj1OoosZ2gDuir0LSWgyf/wW8DkifhaSnlkSViW8oxOULkRepBOUR6K0nctggCpzDjOwoK0KomX+eMZL1FZ0Y1XJmZkeSaFIQY9azp05ActIHqEo/QpE5D6FixaD21YnH8dXnrVhkJoYnpA7p35s4CZfSiNEUC4R/lRc39VLZZiDWIOGVc0ezo66X+5eX4vEHiTYoGRZvpMfuxebtZrLhKu7/qAMI2/PMyc9i/mRINKuZmG5FKw/x7o5mvq1xcnThwEP9O4Ih2FHXy1Nr/Jw+LpXq3qGxO7qdXppsAeI2PgpJk+AHI/X8gugi0WZP52pJC+e+uqs/P5FRrWBrq4T5kQVwILxqhSEeRpwBq+6E2bdD6TISba3cNO0lbv564FpmZEVgUMq4em4WgWCQrGg9X+9vZWFBLDtru3njm1ruPCaPO47Jp77bxQ0f7kMtl3L13Cz0SoEDpilkqs3g6iaki6V61PV0Rk9hmG8fSSvO5wxHG4tzTuXTjJO4db2dxl43f56eBo52cjaegmfu/VQkn4wcLzGWQ34t21twWfLwNn3N4xI7HxevRoKEczJP4qGTzuFAq5/bPinuX80pburj0hnpmDVddDt9jEzSs6tusC0XwO66HrKi9dR3O0m2aH699+oXos/RQXPqafxth4ot+xzEGFK5d+psJji3ERETwqiWoZAM3mbL1k9mWeVgQ/mGbhcH7PFkBf1URGWwvfSFQccfrVjKlKQTseojkel12BwR2NQ6+rJPxFD2fn89b+xYNnRHoFBZeGdtE/PifUyu3ghZR0H8qP56cpnkB4Nh2pwe1pc1c8tn5XQ7feREaXjgKBe5iTHUdDqG5ENbW9rLlcfNZnTEXD7ZEEMg109rXwuf72tGIZVw1sRkRiSeSSAQYmrywLZSyiF9JEXAqGQzRxXG4PV7afQUYfO08tC0h0jweaGjIixuJlwCHeWw7gGkgsDYgtPoHHE5Tc1yYlUBhIg0kIuRk0V+eUSBc5ghl8rJj0vCamwlKyYBmURGomXAK2V4koWqdgXe4ddgkvtQHhuJYec/CSJQnX0Bt+3UEQq5iVIHwdULqdOgOrySEzQl4xl5Pka1mpLmXg602QkE4dr39hBjVHHzzBha5Qbu+GwgEWBrn4dbPy7ixXNGk6wZzr1rqgaN9+viPi7I13P2xGR21XfjD4SYkhFBXqyBaIOSCK1iiG2PSh7eFltV2sZxI+J5dv3gPuNNaiTygw+Xtv1IIpN/sfn9V0xIj+KfZ4xgV0MfUkGg2+nj5i+qCC4+jnknjCGyY1t4Pu1tcPLroNAT6jyA0Laf4yLqyVyootpjxCp3k2h089ctjeyq7+2/5r8uyMHu9rO/uY/MKB3FTTYidAqeXjsQdO2vH+zjvuOHcdHnfTw0/SWmahv5RjaGKz+p4ZU5lajXnN9f11j8OosLFLwRdTRNPS5aet0cPTYsLpRr76B60jAqTanMs9eg7i7Hr49HoolA2lfBaq2WD8s/BiBIkBfL3ybZUkCXI6df3HzHZ3ubmJEdxYH2Xs6YJmNn+cD7qZJLOLowjrGpFipabYxMSicl8ufFlvlf0dFZx67eel7drmV7fViwtPS5uWi5h7fOmM3LpX/nlLHXYzGqeSw/SLTbgVOmpE5tQRDsQ8SCXBIucCqG2q44/U68BFG4ehgWNwes4PUHqRlzLT3RE7C2bMQeNQZP6iwifFaW7Wnim6oupsYYQCKjW2dlR+3XbGzcSIY5gylxU0gxpgw5T3lLD1e+t7/fXq+0zclfP6/npRNDmDQD4xIEmJQWQWa0FoW0g77udFw+JzKJpN9r0+MP8sKGam5elItJIyMQDP2o+78gCGREhZ0B8pjRX+5r2o9EIkP4LrbVgVXh/0MhFHvfwhQ/HkX7XlwjzkfTUx9OYCqKHJFfGFHgHKZEa6MZkn3vIGkHHyBeX4BtPRPxTxjJm9saWPNFD/6gG4NKxvyIdlj9BOQejX/xo3h1cTj1qdR6jPibA1z21k6OHR5Hn9vPR2fE/z97Zx1eR5m//c8cd01y4q5N0zR1d4UWK6VAi8PizsKyuC/uzuJSpGhpoZSWlrp7ksbdk+Mu7x+nJA1hnf0tu2/u6+K66JxnnnlmzuTMPV+5b8yhDg7be+gKDvyRqely0+UK4PWqcPoGmgl2+iQ8ufYol03NQioW8diao5w93Mx9Gzu57cQCbv30YG9U5NzxaawvixZSttl9KKRizhufyvKdjVFl2PFp+ENhkm17opObswiH/7Y56K8BQSSiKNnEgWYHr2yoRhAELpiYQWWXh+zYLHTe9chfn9M7vmP0TbiLbyBl+DLUK69lTOdRxgAIAl9P+rSX3EC0JufLfc0sLI5GzjJjNUjFAuvL2wesY3e9FaNKxp1bQtx24jTuXVmKTCwiJVgzYKzx6EecNvRUIloNH+9q5PwsJUMBAh5kYS+JnkN4t3zBd7Fn8v42EWk6N2eOHM3GzrUD5trYtJnk4MA2Z5VUzKRCNzH2PaikE5iYHcvXB9sIhyPcMCeXNzbX8vHuRpKNSiZl//bl/TvdTdTZutjV0J+QBMMRDtqCbGr+kYvybiO5s5n41fdAKEroCqbcwc6Rs/lwV2PvPiWpBnJjVbDsUzJEEZQSJZ7jUq4z4scT39NMe27ffSOTiMjNKaDGkEL9kNPwh128vrmRlXvrCIYjiAQYb7QTjs3nI1c1z219qXffj3Qf8vKcV0hQJ/Rui0QiyCN+XluSi0alJFnqQOWoRSSXUu+XIhWJGJdhIt2sZmFxIgearJS1OsiPTCfGGGF0ehfbqrsGXKfDzXZOH5n0T2kbSRMKiLhboHkvNO6C2DzIXwjGNIiEkXsdiFztiGz1uGRa1OEgWPL/4eMMYhB/DYME578YMqmYMRkxVLXZuHBKFgVpdUQIMinNQrxzJ90Tr8JrysJhHs73NVqUXWLWHK5l9hALV07LwqJX4nR7SLBt5o7SFFZXWLlh9kDtinidAoNSyoFGG8XJOvY39oXp5RIRErmKK6ZlY9EqeHLtUZptXkalm/hgbwd//rGax88oxu4JEKOR8/z6SvY39j341b42lpTEMzG7BG8gRJvDR5JOAo09MORkSBoFTdb/i8sJQIxWziWTMhiXaabH5afb5cftD7Hk9f0syJnK9SeOIy7cgUuZyE5vEit/7OaF7D3RqM5PkCho80r5udN0bZeL7DgtIgEON9s4e0wqdd1ujvfqgqiAm8MXQCOToFfKeHqqiGzPfuK0AwszQ7oUClLjeWRjMwCOYPRhFEoYgUwXR175QyyPuZo7v7MCsA348oidh5dcwJaWLf3msigyUPrF6JSS3m47gHPGpxKncaMQFvLIlw10OA5w0eQMRqQaufGj/b0RusYeD1d/sJe3LxzD8NTfbhGpVqIhiAujSkePu38dm+eY11eawoV54x96yQ2AduN9/O7MORQlD2VPXQ8FCTrGZJhISdLT0GNGGg7w8tSnePbgy1TYqplnGcsyVSZWYwZmY/aAdWTEaqjrEthwoJNRyQlUtIQwKSVcXiKjyP0jjfMf4tXvL+m3T429lor6TSSYh0FcHm6Xk8/21PPQ2gb+NNPIKJUf7UfngjtKWFKzFlKeeh2XT81CJBa488tDVHVENXe+2NfMZVMzmV0QS3mbi4XFiXy4s56SVCPjMs3YPAEc3iC7a7tIMiiJN/wDqUdBIGwZDhOvQ9SyF8FaH60h2/8B1G1BiMmFqbcQUsUi3/worhn3/KX3uUEM4p/GIMH5L4dMIqIgKfowaQvt5p5tt/FmQ5B8Yz53F99ESiiEzx2mtLGbzHgj3S4/qUYlh5rt3LNyD4/O0FAt1bK6Ivqjt/FoB+eOT+OdbXVEIqCSibnvlEL21HXRavNy7wlZPL6+jo0V3WTFqrltfi6xOiWp8SLe3VpHgl7JNTNzSE+I4/1zxJS1uwgHXYxN0iEIYSZmGSltcRAMh1lUqGd2pgJnRMGOmi7quj2UpBh4Z0czn0lncd+CK4jXGZG0/WV9kX8HVHIpYzPMtNk9dDh8nP7SVgBWVrhZWQFXThvNG1/X4vZXUZKiI9hWibhgIex9JzpBwEO+pv+aixJU3D5JT5LCwSvLRnDf12V4/CEWDEtge3U3/lA0SmVSyyhK0rHhqIIUo5LhoirMPy6NmpiOvRTihkRb6AFEYpxT7+aqFdXYPUGkYoFMbYRI1kzEWTOY6P0BW8wIntvdn2h5AiHsTjPxKgut7mjxcJo2A5lvKC/8UMVlU7PocPpw+4IMTzFwuNnG7roQ0/MNXDEti4YeD9mxGtps3gHpR7s3yOFmO/nxWhSy/9zPi9Xtp7HHg1IqJs2s6u0WBJDI0hhrVhA7V+D2z8t7U06zCrWUu1ahk+kQ+W2IrHUD5o11HGTZuKUsGxdNm7p9QfY39kQ1rHo8yCVpXD/sYeIknSh8DnxKAzpjBgrJL7fNp5nVDE0xc9tnB5meFwtATHIq0viR2DoOEgwPjJj6/A6oXgdxeRxu7OS2r2t44oR4ZDIByaYHe8kNgLbqK6YOOZ3PO004vMFecvMTXt9Uy2OLh2FSy1i5v5mHTivih/JObvior1B68chkrhprwN7eiEtqRKY1oQjbcYvlIJIQa/wF/zdArDUTbA8S1qchbtoNtZugLarMLnQehS+vQrHoDcTjrsAWlgwSnEH86hgkOP9DGGUYyp8mPk2NrYqF2iIsq65D0nYQnUjMnybczB7LYlSyJJz+IM+tj3YB+UMCbrEMjnWL7KrrwRcMc92sXNLNKpINSmI1Uq5eW8onszxIv7iFF82FdM0/AXlyMlppJ6rkYeB38+D8FAJSHTLpsfZkbSJJ/SVBuEitZu6QOMQhLzHyMApdLBz9Bo1sCJlmFTaPn8Ujkilrc7C63EqJM4TPE+RwTR1hlQ+zWkOi5meT/oOwe/yUtjrosPtINavIj9cikwxsqbbolLTZfHgD4WP/lvPwhAjDxRtZPFVEqSiH329wUTF8FkNtG6DkHCj9CjQWihLU3LswiQ92NnLTaBkT3OtQelRQbiVBm8ioJRN4r1JEQ5eLJ84opsnqQS4REQxHGCLUsDJjBTKNGW+ptc+hfccrMOoiwiPPxxpScsAfjzNYAJEjDE1Q84dZ6aRKGxB0ybDmNmRpEwmPvQXx3oEPSYdX4N7xj9Lta0YRiWCSZnHGKzUEQhEeW1OOUSXlvlMKqe3y4A2EMKhkvLaxmpkFFj7Z3cgpJUlIxQJSsUAg1FeUIhKgy+WnocdDjuU/o2i8v6Gb2z8/zMEmOyqZmJeXjWBvg5XyVgcTs2PIT5RjExpQaiQ8dWYhHn8YxFb221fTHejhpVkvIZbGEkwZh+R4OxIAc/96sIYeFxXtLu796ghmjYzTRyRjUqgwanT0REzUtgkc2lNHgl7BiDQDBQkDbUgmZsew/Hfj6HL6idHIseijZMjhdzAnfQ6ra/rMVA1yAwkqC+x8EvIWIEhkbLo4lU6/hB8rupjTvm/A/CJbLZ8eMjOrYKCFQjAcRiQI7Knr4bKpmXj8IV7a0N+I8+PdjZyZ5kDZ9j0x7TsIjjifelUhCeEmnLIYWn0+NFozGvXAc7Ob8jAcfAdMmXBoRf8PAx7EzlbQWFA6asCuAV3CgDkGMYh/FoME538IyXGpyIUIMk8Gup13IGk7GK0qnPMAar+bSeUPMT5tElbTmN59/nw4yAsz9eiVrl7BroNNNiQieObM4aSYNWw42s4LM+VIv74YXJ2obfWoq1eDTI39jE9pamliX2UjhzuCDInXkBKrw2iykGpW0ePtQSqSopFF64bMBh1mQ9+aWzrbqTAOIV5kQymKQQjL2XS4hkOdIY60ukg2Knn+zGK01sPU+7KwO0M0OfYCQVJ0KcSroz47zs4mwl4rCl8PspALYgv6Kbl6vR46O9uR9lTikscTjJjwBUNsONpBU4+b+UW/TJoSDUrSzCqMcoGXp4exfHE2iCUYfA7SlUZyTv+QFbUqtAlzSFUHEEwZ0HYYzbrbOWPe4yzx70Rubwd9SlSUMRJGDOh1ScQPfYEbf4i+UUtEAiqZmI9P1ZH79ZJo90nSKOSa43yEIhHY+RqR7Llc778JXzBEVoyVK6dlsSS+GcPqBVEhwqk3U3XCn/jS20hp43tcMuUa7v2qLxqhU0jIidPy4lf1PJV5CNO2PxHUp/Hegqd4q1KJzRtm6ZhEkrUCgj+MHAUWvZqSFAPba7q4eFI6r22qRSWTcNGkDF46rmX8/AnprCtt49SSX36r/3ejs6eLl9ZXMjbDxNljUpFKRNzxxWFqu6Ju718fbOWCiWm0Kz9nY9N6YpQxnJP+AGmqdG7I/x0amaZX6M4++15Uq25E0noQFHpcs+5BEl9MVZudCNBk9eIPhbnts4OMSjcyNNHAc+sr8QXDjE7Tcdf8bC57d0/v2oYkaHn2rBFkxQ0swo7XK4nXH1cTFA4jRmBK0hTSdemsb1hPmjaN4rhigmEzG8b/GYtLjtjTwaHObhSWXGRacKbORHNcdxaAW59DbacLfzA8oOh/wbDE6E/EEAtlLU6GJOn6FZnH6xScUBRPt9rEndVhCs0zuNTeiEjm5qbdGjZVNjE0UcNNs9X0eFwYVGIyzGp6nE7qOlzEmfQYNAlRD7Dpt0E4CJEQbHsJRBJC2kQEuR7l9ufBct+vcQsMYhC9GCQ4/2PoCaoIu5vQNvwQ3TD597DvfWg9gABIDn2Mefgyti1bzMO7Inx8xM37ZRJeOT2TZza3cLDZzcx8M+dPyCTFHP0hTjGqiGlpA9fPWrrTJqJzVqFp34XOnMv2ZjVXfdnI6cPMzB0WZn3rZt4rfRej3MhVJVcxLmEcUrEUOo4S6aqgWxXD9/ZanjvwJK6Ai+Gxw7kt6yxOst1Dx6TrabOM5nB7gG6vizJPEvWtdrISgrx38E8ctR0hVhnLM+PuJsYt5aA4xHdN3+IJOlmYOoeJLftRh/yUe/V4fX6kYkg7+DKHkxbxTS28vjn64JGIBH4/N4/GLhfJ5oFB8hitnE+WplPtkhPT8QWuE5/HLmgxSXzIm7YR27YJq38WuphEhM+XQk+0EFgYeynSVdchThwGiODARxDpK5YW7E2MklQiFScSCEUIhiMEQmHinGVRcgPQspfI/MehfGX/7zj/LFIalGgVUl7cUMXpxbHou96NkhugLejhusaV1Dqi5o2hOBn3LbqIreUh9CoZhYl6DjZbeWKqBNNHD0avg7WGMd+ezMi8BbSe+CgBr4Onf6znsyN99VYXT0xj0hAv7nATFp2WfQ02VJVibpyTiy8YJitWzfvb6piWH0ey8S8bdP47EfAHWTo+k+/L2tlY0cnsIZZecvMT3t1Wz5NLL2Zj03o6PZ2UuVaRa7qaWFVsv3G61LH0nLGciK0eQaHDI8+kpd1Dq91Hq92L0xsk16Ll0qlZGFVSHN4gUrEIXzDMzjo7r21pZNnY1F4TzSMtDg43236R4PSD383hpq1cv/UOHAEHRrmRCYkTGGkZiRCS0epP4/N9jczNM1He4qI4I5uHv62g3eFj8kmXkWuvQtKyF0QS/BNvZK0tiZkFEd7YUsP1s3Ipb3NQ3upgbIaJYDjCle/v5aJJ6cwdYuGbw21kxqip7nQxPS+OXIuGD3bU88GOBs6bkIZEJHDLwRD3TQ6x5kj092BHrY2L393HG+cO4dMDDZxSEovVHcIkF5B6ugibshD2vInQuj+aXlUa4aRnCXdWIP7hQSLmLMLDzkQIevnrzmmDGMQ/hkGC8z+C5vZuElyHyHB1UynkE0gYibR6LViGgFQBuXOjb1HWeoR97xOTPZM/WirY3jqafZ0CJwshHpklxiNKxx+SkxHf5wOVEaMmaDdFTfl+SpekjAV1DHx+BSJAkjGHc0uu56xJ4znS2E2HLUiMbgiRSIQj3Ue48vsr+WDeuxS6unFufoU9qRcgSvHy8O77+87B1cwhVy3qxW/yTcsWvB2rWF23Gq1My3n5lzA7xoje08zEoit5vvFr9vWU8lbV58xMWsyt267urVf4oWktz0x5Fmu9jLu/2kuECEWJOq4ffy67OiS8vrm895jBcNT/aXiy7hcJTsDexg/NYobp7ByUFfPQ1gAHWjzMyNRz3ZjTyIo0sSQrEZG3rJfcAASTxiLZ/nJU+j91bLRm4meQB2xIxckEQlGBwFOGJ+EONNNbnhsOITn0EZF5D8OetyASITD2SqQyBdWdLrZUdaGQiliW2o3w3Ye989ZoTdQ29zlT72jfwO6OTfx+6Ks8920HcVoF1a1WjMoDA9YkLl+JaNT1dFr9/cgNwBtb6ynJzOb+PZdy7ZgXOdgkcLDJxsEmG0l6BVfOyGZeUQKFCbq/qa77ayLo9+Gt24mofBVmmZwm9QRWHRRos/t+sasrFI4gHPcoPWo/hE7Zv/c7EonQYnUTCOuxSQpwuEJIvW7e2lLP1wej7dQ6pYQbZufy0g9VBMMRdEoJV0zL4pFvo/fXmrIuHlk0rJ9L+E9eb38JoVAYcXcVK2pX4whEi8/tfjuE1UgDOSSokjnUbOeCCemonHUkpqs564N9hCPRgv8Fy9t54qTniS9sJTPBxBFfLIUqJUkJQQQBHvm2nHtOGoLVHeDL/c10OqPRnOU7GphVYEEuEXHVjGy+2NvEyDQDj6052ru2lzZUc/PcPBJMOloiOqDvhcfuCeIIRCiMj2NjmZ/hSTrCoS7SffsR+zsQuo5CTC4MPxsOfkKkYTui7dHuMKFlH+KKNUTOeAfiBjupBvHrYZDg/A+gttNJWvsPCCuvo3bM/XRJwnSMupFEazUEPLDuPnorKVPGQPGZEAlj3PUUXy9bTZsig2AozP4uLVq5lMIkHcrjCkQFQSBoyoVZ9yH99uboXFkz4IeHAKie9jwPVKbx/fs9mNW7+cP8fJw+H3cv7+D1ZX9mu3U9m1pWkOXogK3P8XX8jXxzNMxJutLeY1yReQqneUNYfnyZoGE1J425iB8FHWcmTKbB24XaXs2wbW8gaj8CgsAfR13G54a78Uh1uPwtA4oxm60CD31xhMenyRjq3YPc102XcxLJ2rwB18/uDeLxB2nscZNsPNYp4nfh66ylMhiHxx/G7Q9x3teO3u6ir8sdNDgivDNTja77AC5TCvrLj1IaFtPtDmJSSSg4+VX48lIoPAUKToLtfe2+CAIkjWJuoY6qDheTs2PItmhwSYpArgNflFxEumtZI57KD8YiwuEwa772cNeMWM4Za2Fqbiz5FjXqzi34zQXIukpBIidgHNjqHY6Ecfp8nD8hjd11VmbHexGHvQPGRczZWAUnXrd/wGehcIRIBILhIB/W38uTS/9EY7sKhGiUr67LiUWnIOb/OHjjrdmGZvkpvRGyUZIX+fTUT2hqtZOlPopjkpGHN/f0/gksLE5gZ/dXvftPT5qFXKzC7vETDoNWKaWm3UaHK8i+BiuBUASZWESSUdFLbiD6UP94VyMzCyx8e7gVuydIk9VDnFZOu8PHkHgN1R19xeZKqZicvxC92VLZySe7G2nodrNkpAW1MgeIinheOeR+PvlRzfK2Jq4cH+CKPDvKQ58j+B28EX8Hp41IJtWkwuENoldKWVVh5czRhWzoCaCVixA8AWJC3dwyzM2to5LYYRdYV9ZfniAUiXCw0caLG6oRBFgyKpnyVseAdX5f1s7Ssak0uf3oldLetPZrZxUQ013GCHUIufsQor27sKfORGJORPj6iujOTbuhah2c9CzCZ5f2n9jn6I1ADmIQvxYGCc5/OTpsXtShJpqsNXQuWMGFn1npdtXwkEzMe6e8RMn359FPmaxhBxSeBq4uCAdQC16yLdHiwPzEv9zaqzQm4M6Zhy+2CFXTZkTaaG2IL2UKj9Wm8X1l9IHc5fJz84oDPH56MS8sK6He7mV+6smclDILhWMvbbET+NNWN7ePlxMTiNoipGtTWWJ3YNr5BgCSnlos9dvIWPgIadYuTPYO6OqJkhuASATFzhcZOm0EC1eqmZBlZF7WaQTCfgRgS+s6XG4lD08JM3fHBXDMayiG50k89R00chlOX9+bdIJeQawigs0TINkIDU1NHKhupjWgID8VfqzowJyv7tc6DXCg2UmDU0mOyonPFM+6Zjd3fXmAhm4PyUYldy2czOwL1sJHZ8KcB4hMvglh37uElTG0jr4ZhyaTK8aGeGZLhHe212H3BClJ1fPEgg9JblqNyFpLXcnNXPduXb83/5u/aeXpM+N55vsKXP4QEpGC+2Y+zaLS66kZey/rq7TkGoZw1Non2Lgw42ROSI7DanPx0Oo2psZqoXwNTLwWtr0QtaFQxxKe8wCdOEnTK4jVyOlw9nlRFcRrqHZHzSUbnQ3ssa5kXtolRCICzVYPw5KNWLRishNMf/vG/QfR7fIRCEWw6BREwmHK6pspb3UQb1Azau+r/dJ/TLqOxO+vJqk7Whv0O0sRJYue5IFtPmbkxTIsI8yNWz4CYEnuWQw3zqfL6eXJNRXcODuHo+0OvtjXzIFGG7OGxFGcbODDHfV4gwPd7ctaHUzN7UttdbmiD363P8S1s3NZX9pBnFZORoyKq2bkMCItem0cngBbq7v4dE8jp49K5toP9vVafeys6+HGOROxqD7GokxiW6meivaoJs3EXBN/2h8gGFrC/AIT6QoN35d38MnuPm2eSyZnEAFEkSAxvkaGy+yIW3Yh7HwN0icyY8QVGJRSrMeZZJ47Lo33d0QjTZEIdLkC5P5CkXiiXoE/EMLuC7FoRBImtZxNR9sY71yLunM/NO/r7ZQyV35DqOBUyJgKNRuiE/js0e9KIu+LBh+D8Bc6zQYxiH8WgwTnvxhWl48mdzVbWtbycdNK5rgn0H2sgNDtD3G000eJs3XAfmGJGtGaW4mMOB9Bl/53H09lTsWvS8IdiaCp/Q40cbSnzWf19/1TGZEI1HS5kNtEtNq81Ha6cfv9LCvMQmMK4vaH6PCKmOav5sqCa0iQjmZTVzdp06ZQcOgxZJ2HIeQnxtFOtSGRmGAAyr4esB6zqxq1rITNlT08Pfp8XlhXR7xewR2jLiMQFChyr+wlNz9Bs/lhnj3tLa77vBqbJ0CiXsEzJ1pI9lURjhuD0xPg2U3NTI11cYp4D2vaZ1HX7UaQDnxoy8QilI5qZDte5Mgp47jxowO9uiqNPR5u/PgAb10wgpLUCYQdrdizT8GTtwyVWoNErKGqtocUk4YJWQKZsRoEAdrtPr5skzO78Bp6PCFa7AEunixDKRXzye5Gqjtd+ENhylrtvQ/EYDjC7d93MfR3K/jqUBdvbK7jsplXMza2nHrXEUbFjWVWbD6JpR+SFA6xZek0btkmZnbCFOLKv4BJ10MkjCumhO2+fMrbHKSnw+vzbTy1R8quZh9TM7WcNkbLdduvBUBAYEHWHIbFmOg+5j9mUMn/KVG4vwaPP8i6snb+9E0ZTm+QSyZnMi5Vw1lvRMUjx6YbeE95XEu+PgUcLQjdfYXPoraDjHau47FF54HET6OrgaemP4MkkMaXe3p4dFczM/PjuGRqBttqu3lmXSUdx0xGDzbZOHl4InOGxtNiHRjxGpNu4sBxuk7zC+MRDw2TqvSQorQy/oQCzpuYjl4hxaA+5hvVU0ekbj8JXU4mxiTT3OMd4GP2503NPHH2/ZTbqviwLMB9pwxFLAic886hXrXi5QdtvLzMxJaq/iJ9b22pY1amkqEdH2LZ/ViUvMbkwuQbYM3taFydrFz2BK/t7OKIVcz4rBhyLWpe+bEvxTo8xYBBKSVGI+tNY2nlEoqSDfhCEZ75vpJUkwqXL8hnS2JQf3BnlCzvfbffWsSln8HUW/oIDoDPCeOvhvV96emINhEhoeQv3geDGMQ/g0GC818MuzdAs7uBFw++illhxuHpX0ewsibCwuwFqCr6wvEIIro1WRim/hFRxkREhnj+EcikYmTZE3BpE5ClT0NZf5AUo5L67v5aK1KxCG8wzLvb67lkciYrD7azu07BO/PiOH+kiFf3OZh9wklUH1Xzp/1N0aUJcp6a8ygn774AnG0ExBIEAegog4RhfXLvx2BVpeHyR6Mq1e0BKtpdnDE6lWs+OMTsAgtTkwemWQS/gyyzjDfOHY7H6yUt0sQhe5hSWyx5MieCEGGo1s38vVcgcrWSMHMoC4YlsKrcyolD4/j6UF9o//pxWtJKX0XoqqTZ6hsgGmf3BGno8VISCSHSJ2OoWIHGnI9EMwF0sUzPdCJu3U2OwobVmMpmaywF8VqUoiAhQcxD35RxqDlKHkUC/GF+AU+tPUooHCHU/6smFI7gCks52By1EnhxrQ2dMplEfQ7+ZiXnZ62HHx8DIFH0LK8u+ZCtrkVEYvNQte0lUrCA+3aJ+Xh/1EX6YeCRBencNyNCSKxE5apgW7iZIeYhqMRyzs8/h+LYYqRicf/un18ZexusXPn+3t5/P/JtOVdPz0Itl+AL+tldb6N6/lJya9ZHB5gyoL10wDyipp14kk7gpboXeGLqExxp9nDxu7t6v7Orpmfz6LfljM0w95Kbn/DV/mZy4jQoj3WNvbO1Dn8oTFashnPHp3HXl4dJ1Cu4enoG7Q4P6WYNsYoWRN4IEomItONru9pLibxzGjpHM0XAUG0CX0zpT94NKilXTc/mQJUHm3cod54Yz2NrjpIZq+4lNxB9kfhsTwOFiToONfW9ZCQZlVhc5Vj2P09X0SX4FWYsRz9AVPFdbzQl2XWIu7seJ5wyntb0Cwi27SHZEEuj1YtIAJcvyLPrKnj6zOFUtLkIHNNp6nB4MahkXDo1k/JWB1My1BiCrTD+KtD+bfmGiCaesFSFuGErzLwTuqoJ65IQDClRleNBDOJXxGDR+n8hDjd28/i35dz48QGO1MSxNPsaurxdZCb0f6D/WOOkacRNuHNPBUFEWJ9G24lv4dJnI8mciihx+D+9Bi9SXqgy05Z+CneckIfkuDf3MRkmGrpdvds2V3YyMs1IaauDKo+c82MruXBCKtv8GXy0v69QMRKBOzY6aRx6KSFDKjUKDZkdNVC/DTKnE9H1tR7bc07j0/YEYjRyHpsTw6npfp44fUjvA+DbI220aIeBqL++TXPhJZz6ZjmvbKpHJhHzbq2ejogWo15HaasDpy/MGL0dkaMJwiGG17xKSYICuViMTCrhxTPyeWCajvfniVjW9SySrjIATCpZv2sAIBYJmDUySB4Nn1wAm55E8sWlhD88B3tjGfIfH0f27iIUn11I/PK5nCTbSkqkhYneDTS1tPWSG4ialL67rY6TihO5/5ShrD3cPzInFQvIRAKj0/vSjHZPkLJWB+OzTP3frMNBxLtfR63RMPcbPb7MWVQ3NvPx/v5dcrd8XcuqZhWGSA8tkiye+SYGWceV6B1XonAmEPQP1Nf5tbGlcqCFwKpDbYzLjEbUguEI9x0y07XgDYIp4wlIdURy5gzYJ5Q6iVJPO5uaNtHh6aCqw9WPkErFIrZVd/NLtdFiUTTCJhEJJBoU3HdyIS+dXcyodCP3fnWEBcMSeHZhItP17Zzb+SQzd1+OvqeesNwwYK7woU8RHM29/xaCXoYquzGopL3bfjc5kye+O8pT62t5Y2sj+xqthMKRAR5hEC1K1imk/bblxWtQ4mXV+A84qWw2M7cM5dGkp2k2j4PE4SBVRRsOOsrwuh1oa1eRuv4qXl1g4vzxKRQk6Eg2KvEGwlzzwT5abR4iRDCopGTGqKlsd/LM95Uogw7mtb+B/P1TYOOj0FEelWc4Dt7sE2jUj8SRvxjrhNv4cdyrVHb7oi8r6+4nWHgawQgI2niQ/LLL+iAG8c9iMILzX4SGtg5aXQJ3fHmEsmMFgDtre5iYk8+U1Nl4RY3csWACn+xswO4LcUmxDMHdRdmIO9GMuBGkKsRqI1mxOhAPFP36R+D2BVhd2kV1l5ehSUZePXcUh5pthCPQ6fCRYlLx5uZoyDvZqKTZdizCo41DI+um9agHmVQ6YF67J0hX0lQ8mXnkth7EvCeqDuw7uo6quctxd9SSGmfi+04D3lYn3007jGHTfbDJjjHvDL6PPYeLJ2fyysZqLl8X5sVZ75J39BUknnbqc87l5dY8upxuvjncRnaclsxYLeFwmHe31rGtphuxSOC5RfnkKwzgtWKo/IzJHbuRzPmCTQ1+7B4/Cx0foNv2Xt+ihy4i2yTh2lnZPL6monfzVdOzSDNI4NNn+p2jqGUfGnsFou0v9m0Mh5Ae+JD8uAJE217AOfErfo5Wm5cThsYzseJxYqeexzVfebF7giilYq6YnsUHO+sZnWbijFEpfL63CUGAM0enYFLLqS64hMzNt/TWqojcnby1rZHrZuVgqHmWStWkAcc7q1DFksgqtJ8+x1CJnJdLbuDO0hRWlFnZWaPk/cUCao0OY+y/Jrz41xCnG+iNlqCX9yMnP9Z5ODqthBFLP0MQQOgsJdK0F6F8JQgCkcLTcKZNxeR38t6MdbicUjSyvoijVi7B5YsW6Ha7/GTEqKnp7FP8XTY2jWe+r+j9m7t2Zg7zApvI0/lZPMZIfHA/5r07aRpzG/EHokRSVb2O8PxnQC2LRpV+QnNfNAqA2Dyy9j3CB1MX8013Aq0+CcFg1B7kJ4gFgfI2B6ePSubbw639SurOyfGhUSp5OGLiSIud8ZlmhiYaqFQYuOKTctQyMWeNSUUiE7PLfDYzXV+hnnA11G4GqQrvsGWYPl8KMg0Fjm1cM3wKX2iNVHc4mZhtZnNlF+9ur0ctE/PWmdlYZE7u+SpaaH1uhhXzDy/3LWb7izD3QSK2RoSm3bQmzeFr/wge/MRNYcL5LEpN5q4vD7N8SVG0I1MTh9vtQpIyEVnqyL//phjEIP5ODBKc3zB8gRA1nU604jCNzjA1nR7kUhGXTc3igVWlvaH0zRV2nh63lIBfQ6M3yA0zMyi0/kDi9nui2jWqGCInPEaPrgRT/K9TABqnkVEcJyUhVssDq8uYlG3mwokZiEUC26u7eG59BXZPEI1cwpgME/d/XcrC4hhig50060tosdcQow0OUMIdkqDDoJCTUvo9QuIwPHOfwKdNQdRRRvqBJwmkT2N5tYm3Drbxybwghi9u6N1XX/oBU+Rmuk0XIhUL1Pf4WPgVrL7kSfY1uXjg+ybs3j5NlC2VnRRNzSQUjrB4VApzC+P5an8z+xvtTD/1TRQ1a+Dgx2Crp7jjC3zpZ1Pa6qC84BqK8+YgbdmJoNBBexmxT2dywuVHKUwcQYvNS7xeQbpJTPK+5wfUAQHg6R64LXUcog1/AiBb1oVIkHH8S/v8ong+2dPIWLkTY8TKGaNSkEvEiASo73LRbPORaFBweqyMWUPMRAC5JMwdnx9FJmTyzqibSdwZnb9+2DXk2s1kxqqhI0C6p5Rkw1gardF7Si0Tc2VyNdp1t/UeP/2Ha7h3/jvUjkymxS2m0+Ykfs2luE96BlVC8T9zG/1NTMiKIU4np90eXZdULHD5lAzWH2pgd60InVLCbbNSKU6NRa44lipLGoFv3uPYJ91DnUuKGzlht8DaQ62s2LMTpVTM9bOyOWNkMh/tbsTlD+ILhrlwUgZPHzON9QXDtNg8TMmJZWt1Zy+5AXhufSXTL5pLXM3nDG39nM648VQNv4WMzbf3W7tmx7O0pU+gqekIWpkai86ILO8kFJXf9Q3qriY84nwK1l9CgTYBzFk87fpDv3ns3iDpZhUf7WzgjycUsLmiE4hwYZ6f0QfuQtFxgFsWb6E1mM6Omm5qOp0QViIS4Ka5eTy3rrJX3O+csVO4eJQRVf0PRBafQdDahHfa3ciNiYRtTZg+XcL5EgU1w67jC3ExF400Eu6qJpNGMr+6jIhUzf1TnuemdS5MwY7+X1YkDN/eSvu5W9lhuRyNQoqo080f5kWQiQWeX1dJcbKez6vANP1lRCojWqUajzaFdPlv24F+EP+dGCQ4v0F426sR2g4icXeQqY5jj3w0l7x7AMcxJ+8xGSbuWVjIFe9HxeounpzBmxt62FsfTVukm1VcM20SSaOeQBVykpyRi1tqwmJJ/YvH/EchNyVx2QQfmxpDTMg0sbO2h+IUI69srOKuhUP4w7yonkWcVs7WmlbuPTWVMfFykkVWiDdxSomfB78u5Y/zC3jlx2pabF6Gpxi4c4aFtA/GRhVP94By1IXID76HqGlX9MDln3Ju4RmER1+J0frdgHXFVK0gN20pRUl6QuEIZ41JIUNoZrtfjt3bl1KJ0ci4aEoGD64uo67LTXGynpOGJ7JstIVTfV8gfPkCIMDYy+hUplMlK0AhFkhVB1FLI7RL80m2eOG728EV/aG3bLyXYMl1PLathdezNhK/61FIHBF1UT7yed8ixTIihjQQSaLneQwRsRTh2Ot54f6HePWEx7l3q58Wm5/5Q+OZkGlGo5Cwouti8nQxvPbxAablxTI8xcCRFgdquQREAS5441Bv0apGLuHxM/O49K3DlGknkBibR+WYe/nGnkmqSUVluwtJ1tWUbLuGVycV8nyFiW1NPi6fEE/i0YcHXN+0plWkN+8hBDin3Y9fmwE7XiV04hOI/w0phuw4DcsvGcfBRhueYIjCBB2FiXrGZpg4f0IPMomIuJj+WjfeQIgDVil3f9nMkRYHt87Po9Pp56NjLuBOX5D7vi7jlWXD0amkdDp8xGhkHGm2c+OcPMQigRSjEovWQn2Pmy/2tfSbPxSO0OoR4UxaSEvayRAOUeDYgqp+fd8gkYTyKddy9467ONR9kDhVHDeNvJmM1Amkz7wPxQ9R1d7u7NPxJs3AYlmNuO0gOFqYOC/M0wK95PbNLbU8f/ZwjjQ7aO5xc+14A3mBMlSfndcbkRuy+y5cox4hTisjQa9AJZcwPT+OL/c191Mufmd7IyPSzRSkzqWmoZEsjQWTIQ1r4wGMa24GQAAy11/J+Wd9jf6HOxC19KkxC54eJiuqkYrj6ZJYSP/Z9xVOnUiDX4VaLuWh1WXUdrqRSQQunpzJjXNyUcklXPfhXlJmFTAmwcSt31ZQ1XmAJ8/KJMsiJ1mb/E/eKYMYxEAMEpzfGNydDci/vBxx805IKMYXV8KzbTG95AZgR003c4ZYOHtMCiVpRgLBEK8d1wFR2+VmW52TrdVaJmSmc602kaS42F863L+EjPRMEg1tDE818mOVlSGJOjYc1XL754cRBEgzqnjh7CwuGaNCE/IhlQjIYqI2ERMyzdyxYAif7m3iptm56FVSwpEIxd2fwpSbogdwtIHG0kdujkF5+CMWnXMeWAemRnyGbJCqyIsPUhIrYorFh2zPm0xRD6c4IZ+KLh9uf4jzJ6Rz00cHetuv9zfacPqCTMiKYaLEi+Un1eZ19+GY+RLLPq/jhtlyAiExbV4BvUKML2YsztnLEdmbUKp1hIzpnPpmGW5/mK8yJ7GkoBFd2YeQOY3wqIsQHf6UiCGN8LgraRAlknDSy8jX/B7c3YTM2fhSpqDSJoCjBWl3OTN/XELJ8CvYm3w2T/zQxBf7m8mKVXHZ+HjsARHzCi3kJ+h4am00LXZqSRJfHWjr15Hj9AX5oayTSdlmrKoEbjE8ztBgMoiC3PDx/t50x62zn2BZ5595LFaCfeIiGoMyPM1JqNjT7/oKCg14uhC7OtF/djYdp31C7HfXUNtWi1KbgkXXv+DY6vLTao8Wpsbr/7k24MxYDZmx/d/wRSIpyfFxvzi+xeriw50NHGlxkGZSkWZW8972gRoru+qsrC/r4LHTh2FQShHlxBCMRGtdvMEwr/xYQ0aMGqNK2i8lppVLMCilFCbGUNvpQiYRiCjyQabuVaG2FZ3GbbWfU26NCuW1u9v54+Y/cGXxlTQnjyFnyVq21Fh580iYsu3dfHbey6SHW3B6Q4gVFv68LJM3tzVh8wS5sEjK8JaPiJOl49bEkCWTomw9GLU+6KwgHFfAQX0s7f4f0UhH8/LmOm47oYCSFEPvvXE8Ouw+ik0h5gfW0RW3hMe3d3Jr2zsDxmlsRxG52gZsVwRtXDhxPN9228gZ93t02x+PEi19ClUj/khFp5evDjdz9JhJrj8ET62t4KY5eazYWM2549Nx+8PkUs9z0yN81xPDwSYbzxx+gDvHPkBx/KDY3yB+HQwSnN8Y7I4aKkadRbP4QggnoA4ncnh/NQaVlPsnSsmhgZBEhd2iZHddD89+X8m0vFgunZLJyxv7WmPLWu08tqiIrFgNMfIQhMMg+vVryuUGC0UGkEhlrC1t44ppWQgICALkx+tIj/llj2CTRs78ogQmJkQg5OWoW4GvvRLRnjeg69iPckwuTLj6F/evbvWj0ReRG1MYbSsHkCjwTLqFDGWE32c1YvQ0IPgyoHYzaWOH8cnIQ4QjEVzGQrb5JQNUZTudfkamGbCJZhBXsRzBFtUFSan/goKEqzja5mREipaUeDchfxsPfK9gXaWN6J+Rm2RjDYtHpfLWlloe2OyiasTFnDT/Aqq6fCSmpjFTpkFwtvBpRyKr9lhRStIYMeQtEuRe9llVfPRWNxuWvYV2wz2IG7cRSijBlTaTHypcLCxOJBKBIy12kiU2AhEV541P596v+7Ru0s0qdtdHU1/jMk0sGJaAUS3D7vETp/aSp3LiykwhVivn/q/39avleHhtDdqTr8agEFESaCROEUA8YinUroHgsa4ipRG0CdG0p0hMw+jb2OeMxz/qHdQ9KgSrlTlDFL0qxrvrunnkm3K213STa9HwxxMKmJb3y6Tk14TNE2JbdfQ6nD02lf2NNlJNKuq7+1s2pJrUeAOtxOuVOLwBrL4gpc12etx+Th2RzJBEHVKxwIOnFvHgqlIaejwk6hXcsXAIZrUUrVJKUYrh2GwlOJetRnTwYySOOhqHn035xmv6HS8YDuIJeXh49z08Of4p7tjoxh8KIxOLsIliMeQXYgB+imGMzU7AFwphdNUR2VJB/NHnCCWPo810DdvNS4lYm5Akz6Y1osHnXc3JLaXUx1m4eHIm7Q4veRYtYzPMbK7qXzweo5Xj9vugej11htkcafPgVSWg+tl1tNodUHAOsdv/1LdREAjGj6RqhxOLXs3hxMXkL51LW1cPm3u07Dkk4+TherZUVw74XrzBEDWdLk4ZnsjUDBX6QB16bw+ny/18rxajNJ3A2vq1pGjSMWkGNXEG8a9jkOD8htDj6uDxmhV809An63/LiLtZNDybE8ztjNywFPwujpy8isuWH8R67K3y7a11TMuNZUKWuVcTY3peLHKpmJpOB1802rBopBTFCqSl/HtaMQsSdBQkDBRC+1vQxUSjMDFNLcQ7NyJ0HffG2XkUEIiYc6NS7z8hayZJ6Xmc8voRLhr2ELOK24iR+GiVpbGjM5lYtZhQqACjOpfx4lZCsx9E/uVlSI+9XcslciyLtvRbxyWTM8iL11Lb5aZVGsfO4W8zu/sD4qpX0DbkAi6XZNFs9RAK+nnx8ANcmfF71lX272Rq7PFgVEnJMMm5c7yMAlUrB+xK3i8VuDneA1uepmP0TTyy3cu1M1K4/YtDrOrd28bodCNvVusIxNzF4hmw01ZNre0wlph8nv62iWtn5VDV4UThasQgi9AgpKOR9XWJ/XlTDXctzCIrVkueRct3pW2sL2snyajkthMKyJaU8V6jmvghqfiC4X5rD0cggkBFp5eagJwrypfinn4/nlPeRWmvRixTIvF0wo9PAFA35h4uPFhAVVfUeVoqbuKZM4fTavOSYFDSbHXzhxUHqWiPvsUfbXNy5Xt7+OB34xiWbPiH75N/BEqZmKIkPU1WD/5QmFA4woz8OPbW9/RGt7Lj1AxP1vLUkhLidAqW72ygJNVAjFbOmiNtfLm/hZOKE5iYHcM3h1qZNzSeUekmFBIRCXo5OfF9ztnVXa0cbHJyqClMWuxSiovV+PCjk+miNgvHQSqS0uxqpMvv4IZZWdi9ASZmmhj/C5YSKrkEFRJQ5SKc+BTM6Eas0KMLikmur8SjlRLWxnHha3vYe34uxrV/Yn/sOdy/spRgOIIgwKOnF1Pf46Kh24NYJHDBxHRKW+yoQgJDG7bhLPCiUykozziHkppvIXQsnaUwcEAylL1WMeeOvpm40jcJKc34pt7BZT+EuWuWEa3g4dsmgTvWuqlsDwBRUmnWyMmP1/arW4KolQRAcayIosblsOEhCAdRmDKZe8Jj3FD7FSemXECr3TdIcAbxq2CQ4PyGUNF5sB+5AXjx0BO8N+klEn54LRr+1qewzxuP1V3Wb9wPRzu4ZmY2W6q6mJBlxhMIs+SV7Vw5PQtBELjqo8OcMjyBP04ViEv49Wpxfi2IlXqkDZsGbI8c/hxhwpVEmvcjtO6nPXkuwbwFdNmd+IJhRALEdO7BVPYuBlUs8ZPuYpVrCLd/VYFEJLD84pEU1j7dZ2AJEPSR1baac8ZO4Z3tjUzNjaXT6efVj/u8ma6akc3GmLNQxi3m9q96sHn2cEJRAuePjefxmsOQFY1SRX7WuZsdo+bTaZ0Yv70KQgHiRWJGTXsYwRRHz9DzkBQvYXN2PQ5RK0dHmnl7d18b9JTcWJ5fX8nNp4ZZuKGv0NQgN3D57If4fE8T10xJIav5cbaHllAlcXHJuHh21VuJRMDlDzFW04U31sLqQ61sOBqtDWro9nDl+3v5ZFkWtxZUs1+Wjkkt6xWFBFDJxJjUMmq6XLy/vYNTFj9Dkm0vb7jHI9PN462NdXw2VY7a7wSRhD3iIqq6+q5pIBThlY3VvHpaIhgyqel095Kbn+Dyh6jpcPUSnAMNVhp63FS1O8mN1zImw4RJPbBr6h9FTpyWpeNSOdhkY1dtD1NzY/nmcAuXTMkkHImgkIgZk2HCrFWSYFASCkfY19DD8BQ9D64q7a19+XBXI+EILBwWj0Wv5OPdDQxLMjD1uCiUPxDg413tvLi+LwU2Ik3DLfOzuGvUM9y05QIiRCecmzaX/R37sagsmGUaLpOvgfzJYIn729FViTTqawZopJAUakL3xSLKztqGVCzQ3tRKaMj53L7B3dtOHonAbZ8d5Kklw/EGQmgUEj7YXs+68g4mnZ5M09THeHCzi7nDUnivAeyT3ycnUIZGrcJqLOba5V04fV4+1Y9jcf4U1GoVxeo0UrWl5P54DStTb8ZJApU/+56X72jg5aXDuPrDQziPpdZPLErgYKMNuUTEaHk94vXHOYd3VyP+8UnGFi/gSIsdu9POkEQ9gxjEv4pBgvMbgs07sNvG7rdj8wVI74lGMLrSTsDqHaiHIZeIyI/X8sLZJazY28Qrx9JVT3xXwQtnj0AkwOf7WjitOI64hH/vefwziNcr8OUsQFW7sd92IX4orLkDQWmEuCFsU0zmm61enJ4gV0/L5HT7m5j2R9utRT4HppXnM+3Uz4GoRsqeBgdDfkHNWedu4Hr9RubPzcBpjOV3y4/0+/z1TTVcPT2bffXW3vqLlQdaMCglZOtz2di1krNK5vP+nj7hv6FJOuKCTRi/uy6qHgsQDmH64Q9wxjuE86cjNG1A+PYWzOEQd2TN5bSzbmVDp4Y3NtcgEQnMKNDxVf0T/dZi9VkJyWrwB1M4UV+NvKmbLlEsQ0wC26u7eW9xMpsaA6SaNBja1+FhHhsr+ne4hMIRqpxySlQe1JIIV03P5pWN1bTavcRoZFw2NYtIJMwbm2uRigVo2Qfb7uPsuY/yrcTCjII4VgeTmHnmV4istbS7YgFXv2M0Wb20eiQYQmG0CglyiWhApEinlBIIhfnuSBsPf1NGq83L7CEWPIEwTm+Q00el/MV75O+FSCSQEaPi6TOH09jjIV4nRyREu5GUUjHDUwwMNQZRtG+CHiXNmqGcNSaVZquXn0vNfLGvmfNGWxCLRJwxKhWzur+0waHWdl7b2Nhv2546J409LtYejvDytI+pdu3GGXBwoPMA+9r3ce+4R0iVyWDCVf/U+fmDIT5qMLI4ZxGx1n0sGV1Eq1iMXO2jydpfcNMXDNPl9PHIt+W9RfYjEpUUdH7Hl5FJlHV00bKllq/mefDrUnCoTychJZ7yuh7itE6cviDNNi8v7fbz8KJMzCo5CzNAtrOOUqsYtXGgcJA/FCa2cydfTWrlqGEKbrGO9eUdONx+3j63mGDnwOYAoe5HTpl2Fw5LLE5rO912EybdL6e3BzGIvxeDBOc3hFhNDlKRlEC4r6CxyFzC8oMh8kb9jpagDY8uiZiAQGGijsPHCcFdMDGdNYda0alkfF/a30ivyepBq5Bg8wSx+/rXnfxWIBWLCOTNJdS8A/HhT6Ib806Ietf89J+1jsS406jrSiBOqyBD5cK88/3+E0UiiNsPIRVnEghF2F1vZXb2QjLKVvQbFsiej+mjJUwI+vh+8kcD1uP2h1DLJXQ5+4snfnmghWfOuZ+rfzyD1yefj8Wsx+0LYlLLiUQgW90YNTg9HuEgNO9GtPExMGfBhGth0xNIq77FYiphxeFxPLV4KELARWWXgDvY/40YIBD2clGJCnOomsCQ0zlj97UIUhmjx11PizaL05XVaNvLUIlVaKQCMer+PlIAGqUEPr+coUnjOJT3BLMK4jCoZTi9QYKhMIfamrlqnowcsxmxrSe67r3v4iqeyttb63D7Q7w+X8WMrXcwfOKrA9Y4p0hNbfgIgUYVnc4A187M6XXWBjhpWAJDEnQcabZz1ft7esnEygMtLBiWQFW7gwlZZhKNP68G+fvhC4T45nArd315GKs7wLgME3cuHMLEbDPBUIR4nQJjz0E4sAGCXioST+EPHx/mvAlp/bRnfoJFJ8cTEfh2XyUKGQxP0dNq11CSajn2vUT6yRz8BH8oxOpDbRQnG9hUmcYls5SYZcmcmLaIFLUZTWzmP32OgVCET0pdVMWcyzICDE3U4ZMqUYlFTM2UsaG67/4RBBii8/DidDhg15GkDDLSt4O4Ay/jzx/HqFQdtw/3kFL/Od3jb8Uh1yAIAqPTTTx0WhGHW+x4/CFSTUpSTSqy4jSoffGwxctIk583KrtYMCyBlQf6Os1OG2oiXXQQzeZbyCg6nYhUw1SZBKW8gQM8SVAzUIMrlFCCyt2Ecu9rxOsSidAQFQ2MG2iOO4hB/L0YJDi/Eeyo7uSdbX4emvAUfz7yPKXdRxgVO4HxxvPYX+fhJYmTtyo/JBgJMiVpCpdMvYHKtjja7T6y49QUJek40Gjnm8MDoxUxWhl2bzBaH2L+7ea2VTHpBBY8TVXeJSSpQqi3PAq7Xu83xi3SMD7LzIrdjcTLlczSJiJyd/9sjLY3TN/j9OMwF1Mz7TnSDj2HKBKgccztuMSpZMUVIWneRTrNKKTxeAN90YZci4Zci4Zddf2jailGFQrMXFNyDSFxBKNKRlOPhzaHn4XDEvixVcrJCkO0o2boaVFBs+5qos23QFdVlDjIteBzkNC0hhzzFL452MQf5CvYIz2FhLglvFX+ZO8xxYKY4XHFdLXp6Q4pSFtzefSDoafTqJRy/6H72Nt1iDhVHHcNv4aSkINLpmTw0Oqy3hTa+CwTopAfxDKkDT9yRvgaKiY9RYMjhFYXi1tUzxP77qTJ1Yi8Xs7FBddyxuiraFSP5NYv+tKhZTYxM1Rm9HIRD5wyhGfXVdPj9nPyCBMK4y7u2PIavy96iT9+2MmIVCM3zclDLRdj0ckZmqjHolfwY2XHgEjJt4dbuWZGDoFw/4jPP4rSFjvXLt/X++9tNd08tqacB04toqzFjspVh2HVxQg9NSBTs3niIs6fmI5BKUMqFpNv0VLWFq0dMaml3HtyIRuPWlFI1EgRuPPTWu5blEZDl5oUs4ZcrYSJ2QY2V1p7j2lUSTEooy3zRqWEfQ1O9rc28Gr5AwA8P+NFft4n5PMHOdBko67LTaxWzpBEPUq8HGm202F3k6SBDC3ok/NQyyUsHpXCfSuPsPwwvH6enE2VDjQWE7dO1+OLtLGtxopJLeOeEzIZImtE8eM5TBTLIeCCcIjwtD9yWpKSc90voK7z4Jt8K8bEHMzHqXGPzTSTE6umxxMgQa9EJZdQ0ebg0fVWHpv+AKPqv2GX5Uza3HD97FysLh8lcQJjW5ejsUyF4UuJZE5H+PRiTEDNxEe5+fNyRlrk3Db0AsyHoua6KI0cLr4NadhIwYHlAAjGdCLzHiZkzkEiHhTcH8Q/h0GC8xuAwxvghfWVXD0lmYp2HyOld7F4qJLSVjuPrGzi3iVhHtr7du/4jU0bydLnYFKdhF4hoc3hY3e9lak5MWTGqLnho/29beWzCyy4fUGGpxj4/exsCv8NTs+/JqRKDZG4Ibxb2sqipBnEVPdpi1iHnEMVySTqFSwdl4bdHcAz/C7Un5wJ4WPGk+Zc7OZhRCLNDE1Qc9P0JIbYN3JEbGTnlDdQRVy0hPRc8edyViy8heKuC4lvWcufz36QN3a2s76sg1FpRq6flYUy4mZooq7XMkEmFnH6yGQc3hB19jr04W7u+rK5l0R8tb+ZuxcOoX7Oa6Tad8PW58DngMSRkDyG3qIdexOoY8HnoDN2HEcrfLiCAlrpQS6NlFKVfg3xw2/ik9rPyNBlcUr6uUS8MZQkC6R+f6ydVxOHPWsadx35M4d6ogSk3d3OtVvv5v3JTxCnMfHi2SNoc3jRyKXsa+jhm3IbU2c/hNzZgNzVSYFtIzHJk6jzdfPygYdpckVTLb6Qj+cPPcKw8U/QXS8C+kwmX97rZfTpy7ngoxpEoqOcWJSAXiElJ8XDvXtfIRwJ0+ZqBSTsqe9hT30PJrWMr6+ZRMIxz6qfWwsAWHQK0mNUpJn/NcG34xWIf4JZLecPKw6yrbqLb6bWR8kNgMZCnFFLBNhV18PLG6u4eW6Ueti9AUamGvndO7t7u+00cglXTc9mb52NWJWOztIWioP7+eOMIt6PUbC+1Ep+opKl4xK5/8sa9EopuTFSbjpJzqtHnwWiRcbJv+DZtPJgCzevONhrNXLb/Dx6XB5e2Bjt5BMJ8NRcI7MCO1FljGZ4sp7Lpmby1f4WfijvICdWTVAfS3Mwwu/nGglHIEHoIjktE9/+vYTnPQzl3yCyN0L+QjoSZ7D8sJsR6ZeQlpFNmmVgkTOASavApO17KarrcrOmtJ1njflcXJjK7+mmrqkZP1LSAtvQfvsOpE+CyGTInA4/pYeVRjbLxlHX3UBdN1gzT+acKXNJlAeoDsdxyzc2nlmSQIE6Nqor1VOL0F3F4dpmkuNjMf8KtVmD+P8PgwTnNwB3dxO3jxNz3cqjHGrrS29cOzOb+04aQoP7gwH7rGtcy1T1FJ5fFw0NK6QiRqfoGGP28tq5JTT0+NArJWSb5bhDIaZn5ZIY++tr4fw7kBevQwAqracQPn0YCmcDaONpU+ZgsEl4c3Mt+xttZMSoKE7MxTJ1OanBWrwiFVvcKTg7lXx3upy4hEQUnlokCg3Daj+FYBbdQTl3VYwjGI5w3nfw6KzPyNcHyD/6Cs/LmrEvOpk9gplEkQ2P28HCYfHMLownGAqTZ9Hy5pZqHl1cQmHKFdzzeWO/IuNQOMLO2m5OHyHAlw/1fdC8OxrRyZgG1eshNh+OfE7QmMV2/Vwaul3cNFKMeNtuVAEPRQ0/UKQwMPS0tXxdEeCJr7uZkBpkUZ4c4SfF1+zZtPl6esnNTwhGgjR1HqKt28BD65v7fXbfSflI/Dbw2uHot4h3vkbMaX+mQRHPUWv/eQBagi4y00eikh3uTd+IBPi2JthbPPrBjmhx7bhMPSNTx7KrbRtSDEBfmqTb5cfjD9Fic+PxhylM1FGcrGf/MRduQYDrZuVS/Ct0Vx1fpKxTSlg8IplZBRYOt9jJilOjCh4kok2iafw9SOILyBGH2dMO22s6uWthIe9tr8PjD3PRpHRWHmjpJyXg9AWp7nSRZlajV4rR7H4TkcRL4ZFbuHf2Q1QMG8qBDoEblx9lSJycx2eZ6PYGeK3idux+O2qpmnsn3Eearn8nY3mLg/u+Lu1npOkNRnrJDUS73G5b76Bojp3EmExyLTp21vYwPstMsk7E4rYnqArPJqKNJ18nQxxwgtIUtapIGkGoeQ9iYzqB1AlUKos572Mr7Q4/i0cmc8+Iv/+6G47VIL26pYlXt8CXS2Iosn+CsD8aeUGbQOe0h9lmM9Bu95FvCDE0Ywu65CHUdvSRz3XVbtZVQ3acnpw4KRatnMoOL0XZizHvfwGAiEjM54e6KLKFOa0oFqT/PlPXQfxvYpDg/AfR1OOhxeah0FfNkTY/h9r61wD8eVMt95yYR65yYM56mCGPysY+8T9vIIzNG0Sfnc5YYOy/e/H/ZuTG66iXSfixRqDBmcgIk5GQP8xrG49yuCUaUZFLxHxT1sl3RwLAT0acToqTxSw7LR3dnhcR9rwRje4kDKet+Eq+qFfg9kc7l6zuAKnaCClfLonW+ACxZZ8yad7TNIaG0OE/QIJJglyWzesbI3y8q5HXzh1BRowaUBMJNw1Y96REMYrWPQO2U7sRptyML2kcXabRhE58jzXtel7e4ub3s3OYEPiiX+2OI2shj27oZHNVNP22v9HG2qNK3jv5FuKqvoeAG00ogF6ux+az9TuUXhnDrBwde9pDrDnShkQkcP74NOapKxB/82j0epQsBUcrku4q4jVektXJNLr6F8u22VQ8/sNR/nRaEX/49CBufwidUkrwF9JIDm+IOImWq4dfxxcb+38+NScGic9GRX0Xz++wUZRq5sFTi2i0erC5A2TEqhmeYkD6L6YiOp1RMcnFo5KZk6MlIlHgDUS49sN9tDt8JOgVTD55Gc4hZ1LX4aCpQSBO66UkToFxYia/e2d371yf7W36xfV0uXycOiKegNOF+cDLMO5K8NoRH1pOvimTjNZyJo+aiA4nm2yzkSUk89iEP+OLWEnUxJFjzhgwZ4/H1yv58BN+KVXn8AVx+iHgtqG1mDlzTDKH6jtxeryInHKGdKwB01yorQGfnYhCj+BzokgeCbGZVFhmc9OKg+xviN4vcomIRSOTUcn+/sdAXpyW88an89bWWgBO+rCTzZfeQFLhaUT8LrqMxTy908M72/o8t66bfDOXx1QzUa/mtV3908mTc2Ko77Rx27xM1lXYkASP1RUqjUQsRbzxWSMnuUOMSRRIjv/XC9AH8f8XBgnOfwgHatsxeJsoFnUjtlbhDWcA/QmO2x8kTRMgQRxHibGAvT2lAJgVZk5JW8QZ3/Z1yuTHa4lTDwz9/zcj1aQi1aSivLycvNxYDjbaeskNRAnilNyBUamJSWIUtmqEPW8QSRiBEPJC2yH2domo7Alyzcwc/ryphn0NViz2w73k5ieotz1O5olP4gyF+K51Cxvan+APE+7H3TOUbleALRVtjDa4WDYyhjU/K+iebPEiDBR/JWLO5nDMPA57zWw51M2PlUHmFWo5cZieGJ2SbY4xTBmyFH3dt/jihlNWdCOb3+zf2VXR6aHSl0bsmcuJNO4kXpfG7blLufngi72tyKdkLsQrHYlUIiFRG02pZMdpKAkcIPazM/sm2/YiTPk9yHWk7HyR22bdzg077sITjJKsk9KXsrVUTrPNyYOrynj+7BJ211sRCZAXq+LN/jJCLBkTT3zcKXicJq6abuKhVWXU97iZlR/HzZPMJOx6hCR3B2PGL+I7m5wv9jdz6/z8XlHAfxV2T4CHVpXR09PFHbOTKW9oJqxN4I9fVPZGmzqdPnwhgR8bQ/S4pfiDYR5YW8l1M3Oo7epfa3Wg0cb1s3N7daV+wglD44mEItQ6w2SHQ3D0Gyg6Hfa9D3EtyPNPJEEU4YhhATsbtVyTakanjP+ra0/SqwYYfIoEAZlYhD/UR3RSTQpiVF4UxmiKy6CSM8kSgLX3gWUopIyBtsPw/T0QDkarvuKLCZ/0DKLE4eTE63nwlCJ21HYTDkcYnWH6hzWJtEopN8zOZf5QCx1OP6kmFTGGCLxzIfsWrMTmCPDOtv7RwGc2NTPvgiJGHriHe6ZewWPbnHiDIZaOSuTkIXr21kf4ocrO9HQF+t0VRIrPguKzuGBtVOMpQa+k1uoh+a9fxkEMYgAGCc5/AD12J3nhSuQVH0HplzDxOrJFTahk8f06OU4eFs/QffeiqPuBJxc+SaVUjD/kI1Oio92pZojFR2m7m3GZZi6YkEb2ceJj/0sIH3ub9QdD6JQS7J7oA8vhCxKORBiRamBPvRWAnBgFc3N1+O3VbJn6Ke9WStEp4MIFIryY2V1Xw6d7mpg9xMJdC4cgYWBRNuEg0tIvGLnnbTKGL+Hh+Am8dOgxPhh1J+KgBk9YBa3VjJZqeHPZUN7c0YYgwLLRiZR2NZDQWQE5c6BiTXQ+iQL3tHtY9GE7vmAr9y7MJz9Rh0YmIdWk5LoP99PjDlCUsJhpWWdxsDPCad5f9nVq8cn5xJvPzi4LC+INjFNX8+7Yu6kPOjGoE5B6jMQ5qvFpRjO/SMEl7+7n5nl5xFQt73+KukQOxmayxlWDL388J7rbWZ7/O0pVidR0K9lwWGDnsW6cVrsXreBlcYafrq5OUgwJvHGqhWd2+3B6g8wvimdDmZ3vP7ejU7p56jQN84sSSDbIKLIoyVp1KqLOKDkXH/2aWSe9zCv7Eqkbk0J6zK9jsljR7mDFnkYO/S4G2aY/klH9HZunvIvTF43CiEUCz51dwj1fHqHZFq0pitHIuGZGDq9vruW0EUn95vMFw9jcfm4/sYDXfqxBLBK4ZmIs0zxriMhSqZPnEB52JqL970drTsZcAkfXEG7YSfvI66kOJLBsmIBO+bdfOlLMKh48dSh//OwQNZ0ujCopOXEanj+zkFu/KKfT6ScrRsnjM1Ro4uKRyI5rFDCmw+z7oWU/Eb8HYc/b/fzNaN2P0FEGicMBKEzSU5j0r/1O6FVSxmX9rGbnxEfxB8PYvYEB48MRsLvc5Fet5LyOvcwafxEhsZLEiof4RnMnW1uMnFqShFojpvaE93l1SxPvvdIIOMmK1SARCWhkg4XGg/jHMUhw/gMQPF3IjnwCu491EXRXk9Ndw3vzruKZwyrKOwOcOiyWJWlOFKs2QziI2dFJKGY09R4R9nCEIYEjfJBTRvvCpTglJtJjVGiU/7uFeKFwhC/2NXLJ5Eye+O5ob+1Lj8vPowvSaW+qIRIOYtRpKOsJ06ocxaWr++Tis5Jyeeb7Q70tvasPtWL3BDh1RgFIVRA4TsZ/2Jmw5y0ATPs+ZMn8+1jVuhlfy24ywxBqPkCLeSxCJMSUzldJnPEYrR4RplAXf9gdIH9ICYmBTTD9jxAK4Isdzj7RUF5YHOJwi5v3dzby7InxXP5lI1dMy+zV2TnY4uZgC0hEAlfNknFqkZnPDvZFEEpSDPS4/Xy0q4Fci5bbVlax+gQfZlkGj+/ws+FoJ9CGRSvl4ZNsXPVJBcvGpSICnJqMflL8h6Zcx/n7HiV47GH4Uf0aXim5kZRAAld+1b92R6eQYGn6jpS6T0kbfxW0rGNszDDuHK/k5cPw+qba3ijJzLxYHl9f3ythIBULfHbGswz9bFbvfPJtz/CHGW+j/gupkXA4QiAUJgxIBAGp5K8/3Fo6uvB5vXx0YTHio68hq47qrJixIRaZCIUj3H5iAfvrbb3kBqLWHFUdTpQyMSNSDWjkkt7zEIsEilMMPL32KG+cnoKl/F1MW97udYaXnfoOK83nccLMfCSlnxPJnEbotD/T4JbiC0WYnRyhpsszcLF/AeOzYnj7gjE02TwYVTLy4rUEQ2E+jlHicHmIkQcx6LSo9L9QR2dIjv5X8yPYBnpu4f4FN/tfG2kTMLfZEYsEYjQyOo+TV0jQK0gyHtO0sTeRtO3e6P9rE0hJSkbV5aXN4UEpFxFb9T6jM5cRo1MiCNHvSC0PMMSo/fefwyD+5zBIcP4D0IYdCAeOe6Pe/QaMOJcSRQtPTkzGpkyjI6JFr9QRPOM9QlI11d0BrvrCRlWnB5EAl4zL4SKTH6lEwrBUM2LRrxPq/60hHI4QUepptroRBBGrDrRw4+w8vMEQcomISCTCQ+ubOH98Lp5AkCZPgMxkDQ+uiobJpWKB8yako1NIB+iVbK7qomlOCfknPQtlX0e7NzImQ9MecPcRC73fzTjLWOJbDtORdRrvKifx0kY7Fp2ca6afyr1vHsHuDaJTSrh5Th5OtZyIJQ6hs4KmxDmsatbw+PpSvIEw07L0PDA/lZjWtUTIZmt1D+MyTGyr6atNuGyUjsK2L7ipKJtx6VlsqnORZFQxJt3EhW/tQqeQMK8wnvGZZu463IXNG+TMkck8dmIyq4+6uPPrCrY1eFBKxby0oZpb5+dzQDeFWaq3o+elT2Gtu6GX3ABEiPBO+zbuyBnNBRPTeWNzLRAlW3+apiZl1yPgbIPWAzD5JsrdGuzBMCXxMn4oj0bYJmSayEvQ89lx7tuBUIQDdg1D+zmnR0g0qTFEOvF3epEYkhFJolGJQ01W6rvcNNu8fL6vCYtWwWVTsxiZZkT083vc0cb21gg3rDhCk9WDIMBlo2ZyaXYNhsrPySx9kdsnPcxn1dBq81D9Cx1WdV1uRqUZkMkdXDMzmw6Hn0AozNAkHWqZhFvn55PR9gmK3U/320+z7QnsBc/zpX8Up402I8QWIDFlkqEy9l3TY1GrvxcpZhUp5j4aKhGLyEj4+xsDImoL5C9E2P8zbShT+j+0jn8W2RYdpc1WnjhjOI99W86BJhslKQZumptHkt5LZNofETY8FO0klKrwn/Akdr+Y80bFICjCfLrbjrzgAoaLu9AoVLTavZSkKCk2y5AZk/72AgYxiJ/hN0NwqqqqOOOMM9iyZQty+f9uJAJArNCCKqa/fcCet4kkjuCTzjR21Pawvvxo7wN5++VGnt1lpaoz+kYYjsDLW9sYdeZkMuS6/1ly09TjpqbTxdE2H+9t34VWIea0kcl8tLOh1wbgxjm56BQydtT1cKjJTrJRSapBjuTYNblmZg7vb6/nzDED7SkMKinalm0Ewx1IsmZAdw1UroOGbf3GBXTJ3GTKQ7XpKVY6Unh6WzSttWBYInd8WdbbaWP3BPnTN+WsnNmJsP9xwtlzqPSbeGBNn9jdD1U2krQi7klyURgrY+WBFr66KJ/DlT4q7WKKjV5GtL5NpzWPD3piWFPWSkmqkWSjkharkxdnKyhQ2ZHourl2nYfdTR4+XZpOq6uTh9e6yI9VsPbSITy/vQezRkaH08fynQ3cMTeL78e/TUaomkSTFr9j/4Dr4Qv5iNn3IoWWq7lhdi6Jaijy7CBr3x+j5Aaibe/hEK12D5d/3U2aWcUFEzKQSgSmpsi44cvaAfM6wlIqTv4KW2cTSiGI2RyLwdvMD21a9rYGsOibKU7SoFUpqe5w4fQFeXBVKUqpmENNdjZWdPDJZRMoSNCxt76Hz/c1YVTJOCVL4Il13b3qvZEIvLjTzsT5S5lkikOwFHOWex/FJyzmqg8PcenULL478rOaqZwYUhN6+KpxOYXS3xGjkTIkQUd5cyfNVg/j0nRIfV0DzkkUcDIxS8baUiVsegrm3B/9mz6O4PxfQxSXS2TEuRDywuHPQR1DZPLv8ccM5f/qF7Ug0YDR7ubxxcNw+UMopSKs7gBWeRzivNPQ6pOhpxoiIFt1I5ax97P0Ky03zs5hToGFepsHmTmWYUl6ZhX8djW7BvHfgd8EwXE6nTz88MPIZL9cd/A/B2MazLwTVlzUuylizkZIHkVMi4I1R/qqVOcXxmPzRdhUNzDc3WDzMXv4L+tX/Lej0+Hj+R+qMKtlPLuuL9W0v9HGrfPyeW59JRdMzKDd7kUQ4Jnv+8ZsLG/noZNzuflzL+lKHw+M9iE3epiSbWRjZV+4/q5JapK23sCmCa9TLLOiMksRpYyGb29D6K4CqRLvjLsxKrOwvD+P8PQ7+KS0Tx1YJBIGOJI7fUHafFLSu6ronDGfijYvP8fqChdXjpjCREUMQxIdGD0NnLz1dFAYwN2JP34Uj4TPZfnBOgAq212s3N/Ch2emMOy7M6KREEHg2XF3smvkbLbWu3n0x74H99t7u3j37DxmvhQlYjWdLtQqJblGM0q7E7mridlxI3m/8tPe4mSAZZknI1l+ETNLzGwxLkATDpK39ff9iThAJEiaSYFIiEZAXtwQNdzsGGHh91NiuOrzvvbmGI2MVLOay771U9URjU6cPSaW8el6rv7ocO+4ggQt8wrjeer7CsZmmPjzeaM50mzHopdT1e5iT30P3kCQM1/dTiQC147V0eZPY++x2qvjUS3JolafidMpYFQIZIa9XLcAJMEIF03K4N1tdYQjEc4cncKwdLhj1408Mfk5bN1SkrQSdlbUcf/37bxyfi7B9grECh2IxL1aSwD1BZdy3nuN3L4gG/bZo9E/c86Atfzb4GgDdxc9gpHv60P0uP1kxqoRCZmMHHszqpLzCYsVhE1ZKHTH/UbYGqPnoU+OntO/AfE6FYca27j03d29re9njEzitmFO+OKKfmNzt/2B84te47YvjvDGBSXEG/0EUaGU/nvWNoj/v/AfJziRSIQ77riDG264gSuuuOJv7/BfDHdXM5LmnYha9hJJGI542eeI2g+B0oiQMg5isplrCrL8d+M41GQjTitnXIaRnq52RiUrWVfZ35032fi/69Wyt8FKt8vPrtr+baWRCLQ5fMfUZ6WEIhE+2FHVb0xttwdPezVfLlKh/e4KJG3RaEXm3FcoLcyky+khU2alsPROXKYhvLbfy6LiFJ74UYrd4+fiES9w9lw/ao0OSSRC3MEPQa5DpIllSIyEHbXR44gEBnS6yCUiYmR+Kqc+y2c1BnLiBr47F8TKcYTl3LeylDfOHU57UIxZFQOOaGqnOWsxH6/r39nlCYSob21n2E9pnkiExG33MX3peEavtvYbW9/j52iHh0AoglIq5vfz08hLVGNoOgifnA3hEMNicnh12i2817oZd9DHsoz5jJZbIBTAuOtJTpxtJtJWBmN+B5v6VJVJGA7WRnJ63uD5067g1tX1WN0B8ixqThmZQLn1a55YPI+tNT3olVLSY9Q0tFv58hQZCnc3IYWZNW0Baq2BfmalpS0O5hXGE4nAtupuWm1exmSYeXRNOZdMziDFqOT97fV9tVc+gXA4wLBk/QC1aYc/wqPHLCLitHKunZ7BtFgZDttaMrMmMiptOCq5CI3KxdaGQ5wa9wiaUAKratpYvqMJmUTEHxekExC6iATcsPd1mH0f4ap14OqmLudcnqlPp77bzU0fH+Hr6XeSEnCDyjDgu/63oHpDlCjYGtGZsimZ9Civd8XywKpoSkwuEfHaeaOYnHVcestrgwMfwbr7onIEYy+DcZeB7q+kfjoqwN0JCj1Yhvzdy2u1ebj10z7RQrVMzJbqboSsgbVAYYWRkvxsbovxUd/lJ8EMajlEeipA+fcfcxCD+CX8nxKcjz/+mLfeeqvftsTERE444QTy838uXj4QpaX/WE77/xJer/evrk+rUZNQ8S7ijQ/3boskj6Fn7vO0OkPQEYCO6P56YFKsQCTio6fVSUSm5NJJaRxur6DNHo0gnDEigdRY3W/6mvyzEASB6nYRbl8QjfyXu1De3FzLuePTkElEhH9u6Q2oJBGM+/8M1mqYchMIYhJ81VjidYjWXwx+J8GYIWzLvJMfvnZw9lAlF07KoNvlJ92iZb0rQEpPDYmZBWhH/A5V0WIEaz2LLU18plRj8wT4Yl8zV83I5pnvKwiGI0jFAg8szESRkMPS5XXUdjdy34lZTEjXsqU2Sk41cgnXT0nknBU1OH1BrJ1txMRrOTzpOfK3/wFxdwUSkQiVVNyrRv0TlEJ/XywiYcSeToKhgW+7wTC8d9FQFFIBYySIt7WeyOpbEI5FIaSdFYxdcSUjT30Vdr+BZMelBDNnYjv1PfSfLSVib6Iy/xJwtJFwcjFyazkSsSQqNOi1IyXCPHU545cl0xjUEUDBzu6dWIN+RholKCQiPt/bxCuLsxiuOIDowxvA70Qs13Hi7PsojxnNK3JJrwEkQOi477G2y83C4mg79Buba5meF0d+vJYv9rcQp5WTkZJEqibEycMTaehx9/5dLBmVzN76vgdpnApODH2P4YNbo5EvmYbsk15lj1BEZ7ufx74QAz2MMXdTkuNkcu5QZDI/GqUDpZBEi1tLQKpFuuY2Ds/7jOePyNiw3oHnWFG63ROk3jQelH7cDZ2Ew32RtL/1m/DPIEHuxrD8bPBHU7Ti7kqy1l3GtEnLee/YGF8wzC2fHOC1JbkIvui4jEAFilU39U205RkCyhhqLPMJhfpHIZVKJWnhWvjmVoT2I2DMIDLvQdo0Q+mxD6xj+jncEh0dTh8iAe6fqmaS6DBaRyVK1TyOZ7UhfTpbZ6/giuUHezsjNXIJr5xbhMjbSKlNQCKVItUYUMpliEN+HA4Hfr//33JtBxHFb/XaFhQU/MP7/J8SnMWLF7N48eJ+22bPns2KFStYsWIFHR0dXHjhhbz33nu/uP8/c4L/VygtLf2r6/M37Ea85al+24TGHWhsZRQMPemvT25v4XCHn+fOGIrN7UMhl5GgU5CVYIAEw7+89t8iWmjn0TWV/GF+Pnsbenrf3HUKCQaVFLs3SHG8HItOSfPIJJbv6hPdS9DJyJN2QuMOmHoLbHwMvFYABH0qjiWfsr2mhy3dat5e7SDLLCdTE+DVzc1cNTmJmz4/3GtUOaewktPGiUjUxFJgVjCk/Qu2L8jAIyjpVhkRh7uYdfEQqm1RYjZCWs/RJim13dHU1B1fV3Hv/AzOG20hEg6RqFdw/3cNtDuiZMUgD5Pxzfm0pp/MxtHPY3e6aPapOXe8nud/6ItM5cRpKAju63+RLEWINLF8vijEo7uDvSaLBpWUPIuajJTk6DiPFTqPgrW2//6RCJLOcqjbDICk8ltImQrnr0ZQx5Ksz6C2K5PqUJi0/AVoPc1w8GMEqRKa9yJ012BIm4Chfjv2gAjPiNt57NtKXqjfS3achiunZ1Os6kL0ybV9IoY+O8J3t5Oz+B1mD7GQZIyq02482oHoOE2cMelGcuI0XDMzmxablw6Hjy3V3bx7XhHDI2UoSv9EKFLI/PS5ZJ0xjMoON8kGJV8fbGHtcdpE1xZHMKy7uS9U5HeiWXUV3TNvYJ31KO9dfjaPrgzSFdJw98cNWN0HyIxRc/O8PNKMcrTmMHVTnyLlyIvIvO2srejzOQMYnW5ArjHgUUpRSSDFrOv97G/9JvxTqFrfS2564WwjR25l/lALqw9F09vNNi9StYGczGPieKvfHDCV9OBycsdcBPKfteo374flV0QtRQB6ahA+/R3xZ39MfMH4v7lEhyfAyFQ905NCnF5xC7KuYw/Llk2E5z2KaN094HNQedLLx7oZ+0iu0xdk1cEuciekEwjaqPV24bB6SVEkURQOYfDbCEpVtMcaSE3+7T4P/pvxb7lv/0P4j6eovvvuu97/nzFjBq+//vpfGf1fguYD0HU0mu/WJYIxA1HAC0HfgKFCYKBz9ADoEihUB8FWDzFS0FlA9L+tC1Gcoufssam8v72eW+blY/MECIcjaBQSXt5QzVmjEunxQprayegULRmmLNYe7WZEsoZFujKMu5+HIadC465ecgMg2OpRN29BqhoDXSHunqxmgqaNCquSWyaZeXl7fT8X7jWHeyjO1PF17ZPcnbEUU9lXKNqPoAB0hjR8JzzHYY+Pqi6BDB34Oo8glfSX4r9zdQ0iAV5cOoKTXu9TOb5wlBlTsJ2aiY+QWPEuQ/12FpVOob67k7lDxLy8rITDTVYEkZhQOEK3JodEjSVa8Ft0BmgtKN5dwNBwkNfyT2H1vEvZ1i5h6UhLH7nxOaMEr24z5M6P6i71XgxhgPy9uu57QuMvQixToAQKEvoe2PZ2KzqZAtbc3kcYDn0Cp71Kh9/IHz89Qm1XNLJR2e7k8TVHmXZOChk/d1f3OagIJ3KwsZUVe5qQiAQumZxBeWs0yjV/aDwGpYRrP9xHJAJZsWoWD7dwaWGYcdJKJOVrOBK/gNer9ezb0coJQwJMyU9AEvKRb+n/sDaHu+DnET53Fzq/j/WN69nWuo3nT36dM1/oS6lUd7p45Jty7liYxQ8d73BC+kIq8+4k22jnpnnwyOoGBEHgpjm5HG6ycdFbuxmapOP8Cel0OAMUp5h+9cJ/ry+As6sRnViF7PjcHoBEzt5OgROLEnoJTmGijljtcelR0y+4l8fmR81gfw57Ux+5+Qk+B1jrIO1vExytUsp9C/NxWtuxMoc4R320jqvzKN0uH80LviZOHmCfv5amnoG+XLUdLmK+fxC1RI5sxNnUy5XYwx3sEivJCPSgczrokRtweatIMSnQmAY7rAbxy/iPE5z/OXRWw85XYO87fdum3Yoo70Q4421wdUYL/II+aC9FADrqDqNPKkB2TO8jEg7jbilD5GwloDARiinAqJb/8o/U/yhMajmXTM4gO06D2xeiJFl/rBw2zNsnmzjoVPHod1WMyzJyVpGBaTEelpnbkEp6EEv0+OosyHNmwbe3DZhb6CglrWAqyyStiGUKDoVHUdoZYLpCze7mgToiPQ4xZY5ytE0boyH7YxBb6+ix23loh7hXaFCvzOD1UxPIjmmjsrOPKJ1akhSt7TghH03ERYbKR6lNwklfhvEEOlk8/FyuiinnxnFadvXEkhunZW95DTca1vG45yRe2tTIm3IJl494jRy1i2kxDmSfX9I7v7T0MxZYCjhh9lIkAXf0ASgI0FEOW6NGj4w4n4hIjHDkC9DEEZl5V/T/j4MneRJaad+Dscflo7rThVwiQuYCXeX3/R+uoQCR2k3UpF5DbdehfnM5fUFq3QoyxDII9aXXfJmzeXq7jaPHOuGC4QgvbqjmxTPymBHnRGHUcfWKo73jSyxixN4eNnao+LJextzc3xErcrPiSBORCNQn6tlc2cV3pW0sGpHMtdMzeHVzPXKJCFN8OhSeCrF5EAmDqwvKV1EXjpIuT9BDt6+DB8/UIJEEMMmTeGujjR/KO2mzB9jc8gOfVX3Ek+M/5IYvbBQmqXj34pG4ffDkd0c53BIlZZsruyhrcXDhpHQEBPITfz3fpPbmOpSHPyBm1/OQNILwpJsQ/fho7+dN4+7i2b0RLpoSjYSkx6j402lFGFTHNW1kzQBDWpSkAFiGERp3Bd6uJtRx/Qk5ch387DsDokXwfwe2lTVww2dHabZ5STJM4+F5ixE5W+nxQVpcHOtbVdh8Dg6GPmRa9nX88DMbtEVFelj7PXJdEnWhkyGUSW1HGBFisCTSEwxz/XvVSEQCV06wcNZoCfGWgXY2gxjEb4rgrFu37j+9hH8Z4Z5qRD+RG7E0mvf32BC2PQ/7j5lmCiI48QmoXIO4cRex6hi6Fq3AnDmcSMBDuGEXqm9uRmg/glKqIjD9DqyFZ2PQG/5j5/WfQIpJzYlFEvbXtiNXSBiu7ETddRC/VIolJo5TxuxG4WoC+anIP1zWF7rPnI5t4m24vD5MefOhZV+/eYWUsdC0g7Wy2YTd8Ph3ZQRCEX5M1jMxy8xXB1r6jTfp/Oj9esSt/R/giCTsccWwp76vjdjmCfDyzh5em+pjdYuWXZ0SJufFk2hQ4fYHyY2RI20/ilNI5d61tb37fbi3Ha26hHEZBpqrmzjcZOeMYSakIhPXDlVi9SSys97Oo1sdnF6SyCzXqv5ryZuPSKZCVL4y+iB3t0NCCXh7IHk05C8gok9CcLbDpBvA04Ow5nYiJz6BcPQbAMJJo6IKzMdSRYcabdz91SF21VmRigWunJZJXOwoDFX9/04DoTBBQTag4BqgJyAlfMLjiFbdAKEAiGV0j72Zje/1Lx4H6GpvYdm+c3lhyLukGOX8cZSIhEgrkdRCznonqiME8NGeVp49YyiLizxsa/SiVUh4cm0FJcl6TlYfwnjgEZZMOAWJADHqMUQQITg7IODGKrNQPv8rXNY6zs6OwRVp5Nv6r/iuPhpJNsgN3DPlCW6bWoBXrMRb6SVChNt2XsA7p7+P1a2izhpAp5D2kpve9bv8+IJh6rrduAJuYn+FKGs4HEFevQbt5mPmrdU/IAp4cC16n9q2LrokFp48IKHR6iMrRs3X10wiXqfArPlZcXtMDpz3FbQeJCyWIVStQ/zuqahVZoLTbsOXNQ+15li0zpAG0/4I39/dt//oS6Lb/wbqWzv53YdHetNOTVYPV61sYfHIFF79sZrCBDsLhqlQS1XkaPM54PqEq2Yv4cOtTsKRCBdNTmRa2zsQ9NE04XJC4Wxu+aC5tx5NLRPz8nlD0Cul2DwBnt7USkaShVh7B8lGJWm/kjL2IP438JsiOP/NEIlE7KvrIsvtRhs3BIadAR4rPsswDusm0mTzEzf8Lgqr3kCz6eFoN8P8R6DxInB1Iir7El9KEZGWMuQ/PNAXKQi4ka65FYm5EPRT/7Mn+R+AWSMnQeykQGuDt08GVycyIEmbAKMuhO5OWH9P/7qE6vXIhp3PvYdM3J9lQjb8bDj4cfStdOzl0LofQ1hNskXJrZ/2qRvvb7QxtzCeqg4nR1ociEUCi8cYOOL8nAJjEZGk9P4pHrmWWtdAaYMDbQG0DRu5vGoFkUWvs8EJHR4/22t6+GR3I7EaObOGhAbst+ZIO+0OPycOS2RdWTshiYq7WyfTVNHDomwxt8QfRRubRFgNPf4LsCWeSGztV2ilEXC2RlNHANp4mPx7kCjBkEEobTLilr0IPTXRVNWxmpvoYj+k8tTVJIm7IX4Y2pioXlAgGOaNLTXsqrMyMz+OU0qScPuD7FRdyAi/F/OeZ6L7CwIVsXM42mrnkskZ/eqGTipOJFthw9fahnLWvYSkakIxeXRJLQxNDrC92trv/BMVPpBpyEqO503TPrLWXw4yDc+xupfc/ITXtjRw6+w0dHoHH2yvRyEV8afpGkxfnAF+F4ltB8CYQTAhA4k2Lvr9yzT4R9/Mk+sb2Nbgw6LL5q4zMrhlc1/xrdVn5e3ylxkjvZwzddt4Ydz7XLJlMd6QF0ckQEqMni6PFbVcgkQk9KvHARALAoFQhFc2NHHHnOQB3/E/CofTgf7wu/03NmxHGfsNf+pYxo8VneiUcMOcXG5ZcYDnzh45kNz8BGMaqC0I39+FsP2l6DafA8lnlxA+6xPIm31sXArkzoW4gmhaXBMPhnSw/O26jKZuR7+aGoia2sqlUbJ3uMXOnMI4kvQKRsYt4u4d11HOXhZMPZkYZSwnBSsw/vA8AK6E4WzY4exXbO/yh1i5v5PHTh+K1RPkuXVVlLY4uGPHYR5dNAyRSESKScUgBgGDBOfXg1LPtupuPIoYxhefBWvvJBQ3jM+053LXR3vxBcMopWLuPXkZ8yaCdvPDcJwGSTBpDHtqO4gLi8mq3zpgepmtBvj/j+AASKVS2PduNL33Exwt0VqUuEKoGhj5s3e18vFhKSbFEG7Mi0eaPTuq+3FoBRz5gvDJ7xKJRCMux+Px747y4tIS9HTRJXgpdWzkavUELBVrkMTqCY+8ANGet4AI7rSZFCYMbNVfkK/BKAvAhGvAZ0ei1NLSYeWT3VG3brs3gFE1kBhlxahosXl4b3s9p5Yk8dDqsl7rgO9K4aHpBZy5/xV2FN7FravqqOsOMTJlCffNsjDko0nHXZtWqPyOcFwhnmCEltwLafGIMSpEZMWPQfn1cXIMPgdmkwmlIQu0fWH++h4H68ramVsYz4z8WB5bU07dsfqa0WnzeGxuMcnVn9BddBGbulLocno5YWgCeQlaelwBbJ4A2boghd+fg7i7AgAxEEyfgWL2Yywbm0ZFm5tuVzQNcsrwBHxKBStGvcPEGIj/8A/RiI8gwhsc2CUXCEVwBET4g2HkUjFTcmJxdtb3avbYsk7ix8wbmd/9bdRYFMDVSdyaK7h1xtuc3CChxxWg2jrQi+yo9QjpBh8dzgChYCl3jnyWrR0rsYjUxOuVJDu9NPV4WToulbe21PXuNz0vjqoOJ5NyYtha3Y0/8rcjHr8Ea2cLosYdSBs2I4/NJzziXESr9vdLDYpkGp6YqeHNZAO+YIjXfqym0+lnY0UHRcl/2Wsq2FmJ5NCKAdvFbQf6CA5E28L/gdbwn2BUKxCLhN56JoiqYR9fkvTihmq+u3IknoiJRye+Soe3HolISooymditT/SOUwli2m39yRKA3R2igFr0PT9ycokfR/JUhsYm8NbWWq6fnTtIcAbRi0GC8yugrLmbyi4/iTopsZZMOqp+RJl3AtX5N3Dnx0d7w/aeQIh7viol9fwLyNFlsU8ymaa5+4lRS5BKJFz/7n4WFai4w5TT+1D4CWHN/785ZqlEDM17B35grYt252RMgaPf9v/MnMW1M9OI1chZa5UysfVtdKUfgFRF1+R7uXOPhqwUB4l6RT9/IgFosnppDIhZvtfF85OLSFpxRjTtA4iSRuJZtpJ2n4w1rSqGKJRcPSOLVzbW4AuGmZ6lZWlcHaJDO2H36wgz7sKqK+mXuvEFw+gVYvLiVJS3R0mDWibmqhIJr+3x0OaVYvcEesnNT3hqt5dhZ9zNhW+V90Y0djc4uGZliI+GXYxp7wt9g5v3Eg4HWdci4/YvS7F5AiTqFdyxYAbZZ20h58MpUcfpYWciF4f6kRsAt99LXryW8Zkmdtb29JIbgJ11VjYXDeWsAg8GWYQSk4+2Lg/nvrmbZxfEY1GZuOvLo2xcLB5wH8vrNyD1hRAEEU+fORyHJ4A/FCFGLcbj9XKoPcJwW1cfmXV3MT5FxYs/e2guKE5AEMSIBYHLpmbS4fDTEtRGo3ThIDuTz2dTnYsFPZ8OuG2SurYRr5tFq92LgoQBn4+IncCBygBLc8MoPK2IAsNYlHI2ypY9OA0WlNJoJKG+y8OfTiuixeZFLRcTicDQJB0aeYCZBbHIgwNFHv8WgoEAsj2vo9rySO+2SPwwGH0x7Hg1ukETB0oDyu4ynl/fv0jYFxwYGTwegkwZjfC5Ovptjyh+HQXmrMQ4bpuTzr3f1PRuu3hyBqsO9hHJhYVmjHo9KUo5oAOiAolNPS6eiZzBgmkTMTqrCLbbmDM0gfVl/fVzbh/hJ/GzRb2deWbhCWae/QkbDCb+NzXdB/HPYpDg/Avocfto7LBz0bv7aXdEC0qNKil3njaLFba9XKTzYlBJSDGpmZ4XhycQ9U8SIWW5eySPfLYbgAVF8fhDERy+IB8ccrL4hPsoXH9hrwFkePgyhGNuwP8/wuvzQ/GZ/VMrAIkjYPNT+E55AbGrC0nTLpAqcUy6ndu2i1lfU4FYJPDH+flszr2FccVn40LNkk+7abK6MTfXc+/Jhdz/dSktNi86hYTLpmYh8nQzLDMBlRSSGl7qJTcANO1GufUJ0gQJl+TNgz2rcBU/xZ0n5FIiHCWt8mXUa1f2jdenkKCVUtfdvx4jOdjAG3nbKRs+Al9YRI7w/9g76zC5ymzr/065S3dVu3unu+PunhABgiQESPAEdx18cBvcHQLBLUAgEHfXdnf3cv3+OEl3Oh0GGLnfvTNZz5MH+tTxqnPe9e699tq1pKy5EtuIV8mXxOA8ISUD4gS+psPTL11T0uygbtwUQjiO4MSNptBl4uYvelNwdZ0uHvo+jwdOz8I69i+YzKG4pBqe2xfkJosftaLXT8cnbeOCKTZ08kYqO6QoZRKseiVNXW48/gD7K5o5R/Iz+2OWsK7NQ6hGyorFSXx2uJPLB3djVMtPWulXPPlVbljVQF59NxadgltnpqNVQXewBb1RxrA4PV8WtXNLSArSNtGdetieW3nlvGdZubceu9vHlIww4s0aDGoZdZ0ODGoZSVYtJe1htM94CPPed/m1TkGtPYBXF428ua+K1aUOw36UPAa6QlievYy3c9/BF/SRYR7AtMjF7GtxEFe6kt1pN2N3e4kPlNMpt0KXA5vdTpJFS1mLjTu/aiLGpCYjUk+sWU1Tt4uRCSHcOD0Vb3t9v+v/PXQ3lGDe1bfvldBwSDRcnHSHqN/ze2HLswjnfgb06oCkEoFJaX+/d5XUkkxg/M1Ivrq8x5k5GJKEL3LIv2QwkMulLB6VRFK4mT3VXSSEqNFI/azcJb4fZ6SHcPnYmN7GwD4PNB6GpkICxqG8td+GZ0QaqaEDeHt9OzfOknLf/FRe31hFIAiXjUtEW/5+r+0AQDCAYtcbzB3yDIJwiuKcQi9OEZw/gLoOOx0OLzqFjG6Xh8ZuL0a1nBabk4PVnT3kBqDd4WV3sYxuwcmtW2/g7aXvUFSnY2N+PRvKbNg9fqZlhKFXibf+4rHxxIdo+HCHaG/v9gVYulbB3aNXMlLfRqTahyduAmpT/5nmfwsCgYAofh13E+x4GQQJgdHX4JeokIblsEUiYVvKUM4ZeS8BwcC1P7dT3upEJhGYn6FD6K6nWx5Bc2gSu2pc1HbUopRJiDKpKajv5rLxiXQ4vXh8AXKrmrl1tIYWWzunW5vR1J/E2CwYBHeb2Fm6eA0psZu4bX0IL0zVkNp9tE2BQkdg2v1US6LJtO2iM3IEyycm4gsE0ShkGMIkhOx8iqm1j/fZdU5okNd3NjNvUDRahRS7p3dGvnB4LGZp/5YdGoUUvd4gDn7BAETkQMRAKp2qfg1G6zpddLu9VCctoqbuAK8UavmxuJIFQ6LJjBZn8VtrtnPTxhtw+sRj3TbsNh5JVJHftosUQxaHyyMYofWxQ72cpau6ANF3Rqds48PzU8lr9/K3szMp9XQTET0GRa2YcvVEjeKV6jjy6tuIMau5cHQ8pW21tCp+YG3NKiRIOCf1PDqEsewf/iRDd92CpKMcVf0uxg89ROL0EbS5odnuJbeui2mZYQxPCIUgPLE6n9tnZ/BO0MGwMZcS26rn03W15M+/goFVm3srgnRhHJQPptvtYGCUjjEWKX/bM5SlSYORSL2U1SspqlZxnWUzbSGn8XmVHkuIjQnCAeLlDpwmA5UeKzd9uovXLxzOz7kNHKzpZGCMiXCDkju+PExGhIGEUD3l/wDBCfq9/auXgGDAh7Cx1yTUN/o6mrRpvHZhkHe3VWBSy7l0XCKDYky/e4zuqImoFn2GtKUQv0JHiSyVwmYrZ8X+6dM9KdRqFcMTQ1HIZDywKhe7188ri7II0ciIDNVR0+mkoL6VlDAjstK18MliCAaJOOt9VlweyhelH/BdZwtXzjoTmzOM7w+2s3xCIlnRJl5YV8wiU2f/gzo7eX9bJXafwJ2nZTAsPuTvn6SjDZryxZSmJRVCEv81F38K/6twiuD8HdhdXoqabKw6WMdPRxpYPCqOcL2K2g4ncSFq9CoZhU39B8DiRjsjBo3E63ORYm8gM/91FrpbqJi0lJdqkvkiv4mbZqRx68w0OpxeXttUxqysiJ5ux612Dzev9fDG+cORWmVEmv97yU0P9BEw9R4YdhEEA0j8PnyCkqq0pbS07+Czqp8I18ymq1NLeWs9Fp2CL+ZKiNn9V2QH8ima/THXfg6nD4rmwhwNF0dWEVP3Ad3uNDqj5uCIjAR7CwmRjRh+vJtYUxJMu5dg4gSE3C/6lkYnTxX1P2XrAUjaehsfLVzDBwcdHIp/hrnjPRh0el45LGVKaAtxe+4mc8AlSJMXc9sXh2nqdoudr0fex3LVq5hKj5Zqa63oQ8K5d5KOLqmKZxcNZnNRM+WtDkYmhnCguoOzElVcNFjP+wd6Z+73z4wlrvYLUbRubxKbhq5/hLAzpvW7jQaVDJVMSrNL4NLvBeBo6qlyKzS205Eyjef2/a2H3EyJncKWui1srz+mC/uCuQlzGBYyg5s2SRAEmJEZTnqEHo8vQF6Dg69yOxkaH0KsWU3njGdQVG5E1rCfpuzL2fClODidOzyWNzeVsXh6Fb8UidcfIMAnRSu4akAil/5g5MYxbzA+3MOu+gDPf+cBDvHg6QOoaHGglEtYk9fA3OwIWh0+/rZwMK02DxnmwVy39QauzLQQpjewbIPAExM+JtlfRojJgNOaQX1THbedGWCeopWSZifri/ysLzp2f7ycMdhAddp5FDU7SZR6+XB7JcuGBpDsfBUhZjxvb+um3eHj5Q2lRBpVpEfo+Wx3NTUdTlRyCTFmNap/sJeSPDQBR9oCNIXHpdY0ITgNSSgWfgS2Jny6aNpMWSREhpMYLTAtMxyJIPxh751DrUEues+NXJqExx8gGGxHp+wmO8pIWoT+Hzrv4+Gs2o+qfg+j20r5YeoQbJbBaMIjKGlp451tNazcWY1CJuGKiQlMU3qJDQZBH0Gx2cqVG67HExAJ3sGWQ1ySfguVrdH89YcCtAopl09Iolo1HfOR9/ocsyJ1Kdt/6cLtC1DWbO9PcDproWILlG8Qe4ZZ00WCozaLExV7K8QO/6ev/RT+d+EUwfkNFFQ3IciUmHwtnJupYmxSFh/tqmJ9YTO3zLZiNbqQCg7mZEex9jjnVIDJ6RY2thzkwYQz0X22uCcUnFB/CzdMeJI1FQlYtApq2h18d6COpm43EkFg3sBIVh9pQCWTcP3UZFIjDESGmf4/XP3/UkhlfWZaCqC7ph2JNxylVMnP9W9wdeZTPD1Nx5zwDjQdxSCVENSG8XmphKLGLraWNPNW8m60mx4BQMWPWIpWEjzrLfzeCoq8VjoHPcbPjSYiivXMTplA7KKVSA99An4fwUGLkHRUQf4qaD+qM/B7SHYcZk5CIo1CKL+2Q5hfRWVLGUM7X0foqEDfcoAXS4b2RPuCQXh1Zxvjz1jOuOq1BKMG4x5/B5VeJ1qVmej2bShLfmZcSArOwTM4/5taylsc1I7M4sYRHmanGWhyQHyolgzHHgRdKmhC4Oe7xBQGMKB1LTdMncfz68TKJplE4OYZaSj8dsI0vS0w5mfoiS96ASp+oeuynyju6NXNjIwYxYGGQjLMAyhoFyv7fqj4kSVxs7B54LaZ6fya34it0seEVAvdQTmLRxnZVd7Gu1vLOTAoiluTojBZurBrYsiMDLKttBWvP0BahJYD7ev7fc1F3TuYmrEEu1zHrE+L+nDLx1cXsnRMPDa3j5p2F59uzeOR1psIImXDxI/4cKuc24bez96mbTy18BocLhV1Dh8OdTZrcuuYIY9AgYsa73Zc2kj86ADx+Uy2ajl3eCzvba1gxc4qpqSFMTDWyHXD1YTXb6Z+yvNIzNksHOFjZrYFr18gwqDm5yONtDs85EQbWT4xiXjzP+6Bo9cbaB1/F15zCsaSb3BYBuEdehHG75eBygxzn0YWP5bj7fHk0j9Xjt7U5SIQFKPFx2Bz+2i2uUnj5ATH7fVR3+HCoJITov+NKi3A3ZCP6udbEWr3ACABjKOvxaa6mm0lrj5NcR/4Lp+Q8wYTK0gh80xyO4p7yM0x/Fi9gunZf+XTnR7sHj8yqcA9+zQ8Pf09kgtfB6+TyowreKIoAvdRUm539e4j0F4FJb8i1O5BiB4GAxeD1yZqvMIyYc87oqlh6kwgCLEj/tS9PIX/3ThFcE6C0rpmFN5OIgq+QLP3VVDoiB5/D+85I3jynHSaO1zcuLIejULKbZO6+fj8FC77vJxAMMjZQ2OID3dTU19DsqEDe8rpyJ1NKKpF/Uhs3hucPeBFYqwuBF0py0zhPPVDC+9tq2BQjJErJyUzONbIpGQTCuVJXEb/y2BzefFrLDR2OQk39B04gsEgLm+ACHU8D4x4ni/L3ibJvZm4whcpkV5LtT+T0MHjSPCWsnmHOErOjvGi3fFsn/0ItkaCnTXIv7+O0AVfsHyTkhiTnLOyXCibS/nCNwBDxuO8tqmUi7vDmNyym5D2XhGld/K9vFidwCs7mgFRvDkx1cKZGWa0m7cB0BE2kr2H+/qmAJQHIxi18CP89hZKGjqJTs5EVfIj6rWiQaESUO97i3fO+pJfG9Q8t6GGV4bWMGbDbWJVWMIkSBhPq81DfTCRzDNfR9JRRVBlIhg5nGX1+xi1ZBQ1DinheiVmTz1JDT9TYbqYcckhzI72MDWwFc0e0QcmbN8KxkdPZGPNei5Pv4vikgx2F0aRGTWTG7O6eSX/HjwBD76gn9vGhvBRXjudTi+DY0088VNhz3VNTrMyJSOMr/bXkh6axKSoZDaUObhwVBxFjd0oZRJq291MSMviYPPBPvck2ZhJebOAXikjGBSjTmatguo2B1VtDnz+IC+vL8HrDzIr0wIDF9FmyuHtXY2cMyyJts5oUoWBfLyjnZ+OiOJWqUTg9lnp/OWbw9w8PY1124dw3dwgqigDIdp22uwezhoawxM/FfQQqnWFTWgUcMNIK8/Ln+eTzTUsEzy8sr60x+06RKvgtplpzM6O4Ov9tajkEoSj2qN/VA8SGpuGN/IuWkcsQ6nWYZQF4JLVoDSC5p8XA8eGaPp5FoVoFcSehJiVNHbh9zgIbT9IeMVaAroI2hKmYE4cfNLrk7YU9ZCbY5Dsfh1VxumsOujtt/7WkjZOT58DAR8ySf/hSC6Vc0w3PW9gJAmhWs4ZkcwOIUj96Ddo7XZxsNGDS2JHEJwEgzAgJIhj2xtgSUe17WkkFZsoOW0lB/ypNJT5ybDGMEJdhfHLxT06R5rywe+D6GH/8S7x/004RXBOAideIhx5VKskaEdcSszBTzH8eBV3zviYfS4/T/0qloa22eGGbyr44NwY3lw6mG53gDCtk9KWVTw1+K+sbgpjRfM4YnQCy2e4Gbb9GgJyLWcOi+K6XUtpd7djVVu558xHufeLVg7WdNLp9DIuJbQfuWlraUTbUYTE0UzAEE0wPBuV+j+3mzjA/qp2fjhUz1f7azGoZNwyM52xyaGYNQokEoHCxm6cHi8tdh/vbg3y8Kw7iN9wFesGPsVVP3cf1Z+0cfW4LC4YJOHehm6x31HwJALegPjyDXeV88NY6I4cg9BwiLsLElhfks+1U1NwevzsrHHxU9tULp00CpO/hRZZBC2SWD4+1NfaflNxC1MzLNijx6Et/QFT4w5GxAxgV3XflKY7IMG//VWUpT+RLZHSnbIH9Za+uhyJrQ55cy6S4HDOHRFLqzEMa/Y5SPa9B3lfE3R3sSvuFq76tA2rzohRM4TSZjv3n2VjiSWGsV/OBtvRKKNCS3Dhh4SaTXw02QFfXtqnlYWqbCNXLP6CWG0qmw5Es7dC1JFUtsL+SgXnTl7Gwda1KJV6YsINbP2ukCsmJvHmprI+57yhqJmbpqfyS14jUqWOxV+U0O7wopZLOX9UHJmReqZlhhEmm0iYeh1NTpGIxOsTGBs+jpZyGyaNnI/OiSDRtg9N82HqR47nk4YoajqcPdqiRSk+2PE21aevZkpGgOo2O20OLyFaBT8daWBUYgiDY01UtTl4b1sFZwyKQqOUcsv0FMo6Cklt+JgV885mZVkIwWCwX1eHH480MW9QDM/+uo8Ig4riRlufVh5tdg+FjV10OnyMTQ4l2qQi0qSGjiqSOrbA189BwgRImiQ6mP9ByGUSQkOPEwwr/nXPenaUkUfPyubB7/LodvsI1Sp4+tyBxIX2PUZtuxOb20d4zXosa67sWa7d/QLti77DnDCw/859/TViHNUVRRvVHKrpq58xaRR4sm9C8e2VZA1djEFhoMvT1fP5/NhLefX7bhYOj6W6zc51K8VqSoNaxlNnD2RbVRvrCptJDdPx4PwstDjI2XKt2Jh28PlQsYnyWR9wy24DB2t63bHvPi2dK0xxcLwAfe87MPwSUZNzCv8ROEVwTkB1Wwvd/lIeLltBbnsBOrmO62ffQ7LSTKxg5ONvG/tts7msm9MH+1j6UQN3jdWySNbJJ01qdtS1c26qhL2NQZb85OWL6Y9gNTgp8uzFrDLT7m6n2dlMm7CPv8yZiUwiJS1cR2Jo35lUU2MdoeXfI117n1g9oDISmPM3fAMWIJP9Y7n+/+1o6nSwsbCRt7aIkZI2u4frVu7n/vkDqG5zcP6oOOrb7URJ2hmtqqQ+PZqqmkas0TO5Y6Orj7j2la11rFgygOGxet7L9TJ74JVY9z3XezBNCJ0hgwhRaKlRpZGrTcMqkeEKnUxBcwGXT0hELhG4Y3Y6GwqbWVPqYE2pAFgBP7MG2Ik2qelw9J2htjv85KddxbDWXHQlq7h3xmKu6FTR0OVCIsCiEbGE0IWyYQ8MXAQhSQh+d0+K6XgE/F4mpIZQ3eFmQIhXLJsffzMIAkJ7NVa9EoNKRrPNTbPNzUVDzXQHDnHa3i/54Zx3kLUUQ8BP0JKGI3wkkVo1eGP7z1an3sOg0Hgc9oW8WtE7E18wJJqEUA1x6hTmDp7G+esWMilqNinhs5AI9HMwBtHlaUisCZ/PT/vRe+P0+nl7Szm7yluZOSCcgDucOwa9gFuopb7TQ12zkQter+T+eZmMl+Zi2fO46MhsDsW0/grumvIgT7ZPITNCzzVjwxjp3Uzl2Ee5f00NB6s7OXd4DJuKmlk4PJY7Z2ewrbSFd7aWkxauZ9nEJOJDNDzyYz6lzSLRnJh0Jo8mO/lry92si3y83zVEmdQ93cnDDErqOpwYVDIyI/WinUC7k4IGG3efEUljq5J9VR2k+kuQVW1F4bGDOQF+/gskToIzXgbV72hc3DZRE6I292+C+S+CRinjnGGxDIgy0GbzEGNWk3ASB+DGLidyTyeRe5/q+4GzHWXTQTgZwbGkialSR69TdTBpCkGZhnOGR7OusLknNWbWyDGoFdR0dpJ00XekddXy+uTn+aVmB7W2BoaGTkTqTeK0bDuDY4x8tqe3jUqX08e72yqQSSS02T3sLG8jv76LbxdHos6ZD9W7enr/HZFlcrCmr13B8+tKGX/e2yRtuwNl9RZxoVwNEjmn8J+DUwTnBHT6mnkj911y20Vmb/PaeHT341w/5Hp+blvPQzMWc+6KvqmGCK1AdZuEQBAe2WrHO+M8hmoaubD5RTT7NnNBxFAOn3Yrh4QEfqi6j8MdRdw75l5WFqykqL2I0vYSZoedSWyIhpyTVEHou0uR/vKX3oHP1Ylk9a14zCnIYgf/m+/I/wfU7kdeV8RX+8P6fVTabOeHQ3VsL23h/XNisBZ9jbDpSeaf9j6b7LF0GDJotfevQulub+aF2WZW1WiospyPEJKAuegLOk0DOBh6Gvd82spLZ29hd0OATmcXn+2pQS4VWD4pma0lzfySJ0ZAzh4azaysCH7O7fX1mJpi4stDfXVYiaEaJqZaSLQmIMhvg64a0oxBHpufxP4GDxJBwO/1MKLje4gYKDoxb3gMRUcDrhFXodp+XBpNZSQQNoBtpW2MTLKA0A2NR6Cut3Hn8OKfWLX0ZyptUgytB0ipfJd8xWwOqcPY1XQAvcdJq0pLlNZMuvYogbam0XXWSgz126CjGjLmQNxoPC3lhHgDSAQIBOHScQnsq+rg6/1ilCrGrObhM96mwrWdBTNj+fpAJ1lRBnLremfeBrWMtDA9R2o7USllfLYwks7Weircel7c68TtDZBpFqhv60LhtXDlR25Em5sOAB7+oYDhiyxYBpwpukcHg5B9NqqtT3H30onYB+sxGNT4nCPJazJwsFrUBzV0uogL0ZBs1fHWljKO1IrnlFvXRSBQxYjE0B5yA7CprJtt8VoWthSS3fQ9Y+Omsq1KjEJIBHGm/+FOcWAtbOjm/bOjiYopJq7me1rSh7LHOIM6pYEGZzEfbNfx11ECsrKN0FoCud+ATCmWd6+5B8bfCNFDT/6bB6g/CGvuhaptED8eZjwIkYN+e/1/EgMif9sQ8BgCfl/fkuyjkPhP7vEjixmK/5wPkOx8BaExl2DKDHw5C1HWbEVhWcR1U1Nx+fwYlVLGRkJi1y6USitIZBAxkOyaXcijF1PQ5GRPWQeVra3MGRhB+3FRs2MobOhmTk4kW47KerpcPsqcGhIDfjBGiw1Cz3gFp7v/JNDu8bGhUc1z3MHVM69j0KblBCfdhRCS8Lv35BT+7+AUwTkBbr+fPY27+y13+V18VvkTp0dOINqko7ZDfOgtOgXjkk1cvUrUXggCTIryk/HrzUhbxVmDsmYbw9uXYZj/NQfdyZyduZSdDTsYYhnF8qyb8PpkjI0xYdL+hgOnvaX/rN7ZjsTeP5r0fx6dtfDtVSj1iUTqrqTqhJZFiWYFd0yw8NimZqq6BcK2vwRA3L4nWTTpXjr0mSRbailt6X0pSwSI91eBO5onfqri2YWDWbImkuzou2ksdVO5S8zDb6/z4/IF+rQbeOC7XO6Ync7a/CYCQfhyXy0PnT6An3MbEAS4ZEwc6TFWLtWquGacD4/bya5GgVkDrCRZdZi1CoKRgxE0ZpSNR5isb2NE+iDqPSpCJR5CVjwJP45NlgABAABJREFUE2+DDWL0QHHgXZov+BWvNhJ93ifYTOk4Bl1MvTSGBGsQi15Bmz8K2bw3MPx4Ve/gozITH6IhPtYCxXlQ2EiWxMzL6kwUPx5t4SCREZz7DIfsrSgMCWRYEqn1GjFMuLnnegOBIC12HwmHX+KyEZezYn8bKrmUA9UdPevUtDvZnBfKWaMmkmgvIsraQFP2BD46qGFDYTPZ0QbOGhrLnV8dQq+UcldSGclrbgNXJ2gtzD37XSIVLqj/BkEh4FMOYUy8nq0VvRMHu8ePrb4YttwHU+4RUzSCBMKzkfjdGHa8hF9ppHHoLbiDvQPY1pIW7ps3AK3E20NujiHarGFXef8eWAdapSzURxB+4EWeHRQkL2sqLapEIg0K4nV+zhsRy87yNgZGqhlY/iaaQx8AYKnazizDt1QteJMudTyvjatG89NNogGlNR1m/BXW/lXshWZJ6yk2OCm66mDleeJ/QazQW1kEl68Fw/+fKkqLXkm930x99jIitz3Q+4FUgS9i8G9uJ40bBepQcLYglK5HXrMDchaRFNBz33e5pFsUvJSyF9nK+3ubwk69XzQzTBhPsttFYZOT2VlhVLQ5UeEnS9nc7zhjkkP7/C4B1NIArH+YjqT57I6czqZCBROy1ajlUpze3vs/KdXKpqJmtpd1s7VKxpcX/kpSRAh/OH7j80DQL0Z9/iTcXj+BYBC14tTw++/GqTt8AnxeLdHaGGrtNX2WK6Vi5YDD3sh7FwxhX0UHSiHAgHA5PzZ+xvWzxmDp1hHiriXZdaSH3PTA3kKsPZ+/RM/hF3sYSUoj+d2/cPf2m3hk9GtI3N3kdXowqBXEmHuJjt1uo1aIIE0i7fuCVBrw66L4j0NTHjTlo2kp4sZpy1hS09vvJ8KgZLJvC0m5L7JgwX00qQNizn/0VeDsQP7lUqzmRJ494zOu/6aMilYxnfDoZB0p1R9Sm/Q031+Xhdfvx+MLsKu8r0NqmF7Jx7v6dxM/XNtJokVHabPY70rqauO7c03YdPEgSLngrZ09fjXnZOlZNiaSWruLyppuhFAVxrL18ItIMgRAGzmE1DnP8FahlJHTPmKAtLrPg2j9aDrEjqVlwafU2CV8dbCelbt24QsEOS07ghEJIXy6O4SbT9vMhJZPUWsNkH4amEQjk7b4WWwYPpgz1IVIN/U64hLwIfxyPxnnvMOy3Q/z7OS/cSKq2xyU1XcwJfdTlp95JhMjTXxT3X8Gv6+yk1sHaVFJzViO3EGKt4BhklraxmRTlnghS94/QCAID41XkLzxup50Ac4OoqSd8PmyHoGnTGngtTPfJaeid/8hWgXh/iZahlyHy2ckTBFE8dPt4j2c+yy+EVcg+/xibJapJEePQaeUYXP7CARB46ghxVeNSm7uY4qYX9/N7OxwChr6RmBHWn1QJkanwg++hCn+MNf6b2FzpYMXFw1BrxJ4a+kwIrzVaL7q2xdK6Koh2lZHbmWAnG1Le3uiNRfCthdFHUhTPsRPgNCUfvexB21lveTmGLpqxeV/luC4uwHhn05xxYVosbk8dCSdDgodkYUf4tFG4Rl1LaqwtN/eUKaAyAHg6hIrlXSiligaePu8dMJcZcg+eajXeiEYhA2PQPQQUJmQhaaSHa6kqt3D3V8fYW6GkUdCV3PHuNN4bmc3bl+AUfFGzswOZdnK3kjqpCQD6d58AmHZNA64lNCWamaH6ViTV8EzCwfy7tYKSpvtTEy1Em1W8/J6MfRjc/so6FbiVUvReewkhP623ino83KgrI5P99bT6Ahw/hALY5It6Iy/47sDeGyduCu2IZStx6OPpT12IuqoDMya365KO4V/DqcIznGobO7GaddyXtJNvJh7F0qpEovaQoophbzWPEJVoVhUISzfdhEjrYMZHzOBdfZGxiXMImv948ht7VSnXUSrKouoEwkJoLZVodj5Au0pL9Lmt5KtX4Ld0sm+pt3IPJEUN7eSFWWgw+YhO9YEQHGTg3vWunh1/OPEbj2appKrsc95EU109v+Hu/RvhvToHCrgZ+SuG/hq1oPkuixoDCEMlFWRuO4hGLwYZWs+MWo9XPyT6OEiVcLIKyD3GwYWv8IXw+Np8Bsw+tuI3fc6/vkvkhgrijzdXj/LJ8Tz8saKnsNOTrdS0GDDcpJGhSFaJV3OXjKkM5r5vLKbi0cpue7zvD5mfF/kdpMeH80jPx4CYF62lbtNXX0aAgj1+6GzEp83htN/DfDI9EGcF5raS4rVZlqHXkV1p4cOr5TVhxt7NEU/Hm4gLUwPCCz7rIiPL7+SsSmWPuf7c24jLS1NSIS+wmcAXB1IXZ3sbdpFSXsFOvr2xOpweinokhEx/QOs7m4mrLuUjjGfc2L3otMSJYR+txRcXQTmPIXE3opyx6tEyn5mf+RijnVViKC1l9wAZJ0Fed/2Vq8AuLvQla5m1oDF/JzXiEWn4PnpevL9I7lnn4PmbjdnD7Jw9djHiN92F2x4jMDiT2i/4BMiPU403jzeOT+TFzfXUdxkY4quitCdT3HX2Je5f2NHz2EGROpJsuoYEmti/9GZ/4JBkQxne+85KrTkpV/Lr6tsBINQ3mbny701vHB2Kg01bjIF4fgWcke/UAmhvvq+DV9BJChqE2TMg9RZf78CSqkXIxnHq5wFAVSG397mOBQ1dpNXXsM4WT4KjYRAwI+gCcVnSMZi+ccd/AZEmXF59FRqF+JKOwONQk645Q9Wcp3k3JNioyF3V/+ItN8LHVXw3RkwcjlJWguS1KWMSw5lbWk7tyRksuzwTcyadAUuuZFYZTPBA6+wYvZF5Ns0xGi8DPbsIsQuxTPmBtJXndvTl2zEwAvY5ruOs4fGEBui5onVBXxzoO+zEQgK/JpXT1KYAb+9k+SYcLFK8QQcqajjvA/yenRE64vbeX5BgDNG/T7B8ed+hX71jeIfcjUB1WvUnPkZ5uSsP3AzT+EfwSmCcxy63B60phrUQSdPj3uMDJeN0IKfadOmsjZo5/Kc8ezvKqfZ1cwP1b/wQ/UvLE5fQnldOFEj7uazoiDtNi2DbGomDr0B657jZshZC6BiM9KmIxhS7Ty8sZ4FQ6KZPeAC8jt3k9do5+mfiwg3KHnm3EG02tyE6pT4gkFymxxcsi+JG8d8RkiwnfpgCGFODRP+E23Jw7LETsZFPyPtrGTg+osZmDYb/LHQUQOTbofNT4O9Rew7M+85sZP2vvdFkjPsYmjOxxI7mlCJhIBHSlvKBxQTT1yHk0iTGqVcyoVjEhkcrSe/yUGUUUlKmJ4rPjzAlZOT2FTc3DPzN2nkJFm0NNvcSCUCyyYkEWcxMCTOgsfeRn6jrd8ldLp6e0h9f6SZ6dPHcaZU0deh1t3NRE0VLyp03L+ulbCZTzOy8ROMzjoOj36am36opaT5IEa1nLtnp/Dq5irKjxpB/pTbwKXjE7j9i8NsLGruQ3A6HR7e2FTG9aNNCDKVqG0IHNfTyhiLTy2+jKUnCIzz6zt5YW0xC0fEce5n3TwywcAZCIxq+44lg05nxaEugkGYlKRngeYQdIpRTsmqGwgu+ggB8BsTcPthQKSBvPou2gWzOFAcI/tylWhEeCJs9dw4NYELh4aSXPsNLb40Lvyhd7z/dH8z0oE5PJg4FXn6DORb/oY5cjB+uYpA1BBGbryRN5QKbKMnYPF7ETrKOafuCTJmL6PSa8Sq8OI3mLn80yPMyYlgYloq0WY1h6o7+bQ7h6kT30YRdCEPz+TSr1p7jvvdgTrmDozE31FHmzyK9uxLMB96q+e0A+YkKlQp6BJUsN/at8eTTIk3fAgecxJaxe80gAxNhTHXwbYXepeNvUFc/juoaXdwxfu7eWdsG4pQA9qf70bWUgQSKY5RV9I48BLCI//xyiCVQkb6H9Dr/GEYokFlFFOWPQcxguxo5eiu12H6g1gLPuSuWUv56oCWN+v13DDiVhLz3hPXzZiLUP4D48t/YLxcI0ZyM+YRyLgaxQ8395AbAMWhjzCFzODinxTEmNWcNTSGQ8elL1OsOvZVd/LhDrE6dvn4eK6VtKGP6T+B3Fne0cc/CODlrQ1MyYzEYPg796irHvXmJzh8aQnlbR78gSDRZjVhnmqcXh9q+amh+N+BU3f1KEpa6qj1FHDnlpvxB8WX8UTrMB6Uqon48U7OG3sD9pBwWpUdJOjjaHK2cHbiPKSOidyztpDnzhuIV9HNliMNHKqRYRy7mDGxg9C2HBbztPUHoXwjnsiRbK8X356rDtZxxqBsBpiHsmKT+GJs7HJT2NBNuEFFqE5JnEHK/Gwr3x1u5tpfAVSYNV6+Ovc/VO2vs8KE2yBiELSVQkiS6BpsTgRbCxxc2duIUWUSzfZ2vSH+7XOLA8TUe8DTjTc0k2+aJNz+aSPQSLJFyxtLh5McpiPSpCHSFMdx/ZNZsXQAW8o6eOiMbGxuH1KJgEwiEAzCowuyiTapCAaDlLQ4+b6+iaWDdYxJCmVbaWufS1CdUNl2sEPFmfoIcYYKINcQNCcwYOddfDbtZjZ1hXOgFaKSz8cbZuXWL2ooaRbTQp1OL3d+k88D8zO577t8ADIjDTjc4m80VNc3AiOVCGiVUt7c28W0EQ4M858XBa7OdjDFEZz+V96o38TkmGmkhyZR1V7Vs+22klbGpYZS0NCJTinj4R0+kqa+S8aBR7hHWcD5C27Ab4wjYe+j6LZ93XtQnwuhrYRg1HAqkxZz59e53D8/k+a2Dn5p8jBu8sPo198tlucf+QrnmW9RE3sOAgHiSj5CUb8HMs/gs331bC1p5ZUJAyjoNhEMtvS5tq/ybVy76Gaitj+AEDcKNjyCNBhEKpEROP0l1NtfQt2dB2FiF2xt9UZGVW9kFOAbcwNr9Bdzy4w0GrpcxJrVaBVSPtpVSTAIL6Jm2YRM2vK9PRVfAEfqurh7bibWxt34LSM5LLmYBPMAwmt/wRc5lNaYGSz/toWzRyson/8yqbZKpMYYyoNu/BIZKYYE4na8Cflfi1qrtFknTVU5JQJV2fNQhaVgcHSiCE1GHTEUiccmksK/g8KGbkJ1SqwaJ/I9n4vkBiDgR7P9ZXyxo+APEhyH20dZix2Hx09CqIYww7/Biyt6uFhR9uNt0F0P+kiY9Sise6h3Hb8X7ZbHUGmzWDRiLPVdYTy8R0VYyKNifzlNnZiWLVwtRgPNiZA+B7ugQd+c3++QBl8rEElNu5P9Ve08f95gikrLibCGUm2Dtzb32hy8ta2KWRkDGeruFiNrx0E4iVu0IAgIJ4n29EHAz56zt/CXL3MpOjopSrbquG9eJlrnKYLz78KpuwocqC9hb0U3n9Y+2UNuADY176Ug8wrG7wfpzlcwSOVM2vEKg7LOwBU1GlvIPKa/V8fTixIpbbbzynHi1Cs+6+Sls7MY5ikiYtvjYgjWFMe+7L/w3Q/iD1wQwKRSkFtmYW9lr2bH5vZh1ooDV5jFwrXj3aSYZawq6GaQVcLFgzTEWU3/Mzfn/wdiR4jVJ5XboekIWDPF8k1LMuQdN7DGDIfyTf23b8yDQYNRBF2cG1LHactSmPVpJ6Utdn48Us91U0/+sk+PiyJd46LLZeNwRSPVLgMGoxGVQkmbO8g1Hx/A5vYRpldy1eRkNlX5mJweRqvNQ2FjNyq5hKsmJbO+sG9F1aBYEygmix3PQ5Jgyt0IXhfBM14ma8XZZBEAmQpPYzilk56nsKmv5iUQBNlRt12LTsFZQyLZV92FUS1nbFJon3V1Kjk3Tk/j8vf3sF06nFGuA5jmPksgGCCgj2Kr14XZnMGt0WPRynu1Bl5fgC6Xl3HRMvY3KxmfaiE2RMOr5V0YjI8yIU7J2MQwTJ52hPITOrdLpOC2UTT2CbqU0Xwy5zDZyt3IXevx+1uQlnaLlUQBL9UJZ/PcbidfHQggEQSWDn6I5eN9oNBzU2wpl0Ur2eOIxKsxAH0JTrRRiTroEElC/QEYdyPUHYDyDUhW3w4L3xe/+7zvYPoDsPttcLTAgDORReUw+8jdfJzwCKUtPh78Po8FQ6J54qwc7G4/WSF+fHIDAQRWH27oSTtOzwzDgBOj0YD1i0lUTXmZhoipdCTOZ1N5B599W8V5U9p4I/9R/CV+JIKEqwZdxY9lP1LeVY5FbeH5cY8SHDiPvO4qUrrKyVaHoG4rh/YKcHeBx8GOsHiu33pXz7XKSmW8P/hWBv76KAy/FAYtBsNva+4cHj9+YxSGim39PpOeLGJ2ErR0u3lubTErjkYy4kPUvL5kOBmRfyxN9ochkUDmfDDFiZMVjwN+ur2vBil8AEQMIuWXS8ib+zWtgVg2FbfS5fKhkEr4S6ZcjPZGDhbFvgE/ONs5INUyIm4SqqqNfQ7ZLI9i/sAIEixaHB4/QjDAbdFH2BLI5t5Nfb15/IEgAX8AvC5Q6vH6A9hcPoxqOaMSQ1HKarlucgJLxibh9fnZUVyPXterd7K5RIH7MSKdHWVAqTazcVdND7kBKG22sam4GatWiscvRnRO4V+L/3qCU9haQl2blA6nkwZ7Xb/PO44OLAR8OOIm4w8qkSv1eCJHccYHjSikEkIMTl5d11e4GAxCbosfTdxiZOmzUPs6WVkq56nVHfiPChSWjIpFLvXy1JpeciMIMCTO3EcLkhYfTbxZxQWDO9FIfGLjzd/z0/i/jsiBoDCAIQJaSwmGRCOED4DyzVC9U1znWGSnbn/fbUOSgCDsfguh6Cd0lnTWnvMIe4M5/HC4gQ6HB5NSIqZuTpwdW5IwAGPNFhwttThlUORUccfHu3q+t6ZuN69vLOOxs3K44oM9zMmJZGZWOP5AEINajsPTmxKan65nlLoe0udA2mxQh8COV8WeOOE5BM9+E3d9Lm1eBbulgxkuF0lMi61vqXu4QcUN01Jxef2sza1jUmYUN01P5aNtJVw1OZEun4ROpwuLHsYkmflk2WjWFzThjprGYDOo1WpCTWYm/Ua/ovJWOxMifDz6ay376noJ1gWj4thdYWNAspkjHSrkQgyD5jyP+vurRdIuSPBNvZdmUxz77BZyfJVkC8VQdgjaSpEmThQjVxseA00IP7OAL/eLwlB/MMi7+9rJjE1j4eZZ4GjFAITFT2bXyOd60lwgRqbumZWESlUsViQV/igSxrgxMOMhWPsgdDeIVWWRg2DzMzDgTNFPpmStuE38eML1Cr7ZLz7nzs5mBhkPkdS+jQAZ+JOmo4nK4IurxlLY0I1OKSVHKCX8s7EUz/+KmKHLiFtzCXHBIL9O+JSnf/Fz3Swj7xT2TowCwQCvH3ydywdezmsHX6PF2cLHJV9xYdiF2JwBPm/ZSo27jQUVB6BmN9TsxpUynXfa+2q/fAEfmzuLGOj3iJVYPg9MvlN8QZyA9Ag93S4vTqkFbdRgFCeQ/oDpj2lwDtZ09JAbgMo2Jy+tL+GZhYNQ/jv8to6VwDccBsnRSKQgwOhrxO/1wq+gvZwBchUZ5nCyo/WUNttpt3tppQlLU774ngBwdWJ3eXlidwO3D72FCa5WhKYjIFfTNOZeWnRplDTXsepQPQa1jExrCu6itcRPmY1F5+zzvA2N1ROv84IujkNVbWwvb+NIXRd6pYwFQ6L54srRFDbauG7lAUK0Cs4eGsP+ilYCgkBKmIbi6iYamjt5aUcrFa0Onls0kNmaQg7W9JKgc4fFMDMrnDabhya7D1/QhUklRavuG5E9hX8O/90Ex+el09NGh83E7hIfo+MnUmsvZ27SXHwBH3KJnCTE3LkvexEP7FUSYzmTWSlWBKmX96+wsuZQJ3WOYgxqa7/dmzVybv+6gO9Ol2DZeCeTp72BIxjOoUYvM9P1ZIZLKWmVcOO0ZD7ZXYtZK2fZhCRGJ/YXrCkNoSgNof2W/8fC1Q0/3gylawFwTrwPeYwW2ZS76cr7horQWIJAVmgW8rIN4kwYxFlueDZseVb0EwGEhkOoP1uIYubXnDkkBVtbHabDr4FMRTBmOP7oEXTLzOjlEmSIIm5Ba0WrteK2u9lbWNVDbo6hoctFXYeTKRlhfHewlxhPSLVwxqBobpokEC7pJEnRgd7fCXtXgikeqneI6UpAqNwCzXnIF33EO4dNtNk9DIzV8thUL1d939xTPXbp6Cg+3tPA2gIxMjQj00owCA+symPZ+HiONLopbLAhEUApkzAu1kWmWcLoOZl/+HZ7fH7sdnsfcgPw2Z5qXjhvCJ/vreG+giJGJoYwLW0QM85ajd5Th1MNdxevJL/iI85NPZ8FygGw+vHe76Nmt1j+a07EZ8nkx4L+naA3FTezUB8JjlZInooiehhZwRKmpceyZEw83U4PIyxeOpxdSNQy+P5GMeUGULFZ1GANu1QkXFufJXjexwQM0UgPrMBvjINpDyCVq5F01zJu/228ueiv/Fps4y7jGkwbHu09EfPbuC/4hjhTOJm0QnMBQb8H5j5Nav0PNCTNx5syi67ODgLSNAQhH4nMhtvf16PFF/QROM4t+2DrERyNNr7b5yEnZjIJ2hbqkyYQueOVnnV+V02363VRX3aSiqoYs4Z3LxnJD4UNnDfpdhTNBT3O1e6ccwhY/1gxwrEqwZ7boZETbVZT3GAj3qJBr/o3pcUjcuCyNWJKWqETnYSPlV8fFWZLgPQIBekRJjxeHx53CMFhF8Mv9yA0FxKMHY1/9vNoqtv4pFxD7LyVKO31bK12YolM5/W1peTXi5PQLqeP274pIH3WeWS17+SNBYN4aXcXR2q7GJUYwrjkEGwOG6217Ug6ypnHQc6xduGNGMzWRi32oJT7vs3tOf0fDzfw+pJhSAgQKD/AkM0PMtzVwZThV/ALY3E2lSE7dA0TR6xiU1EL8wdFYlDLueKDvYD4zN51WgZef5BhCb8vVj6FP47/aoJT091FRXs5FuNQdpR189chF+GPyuWF/c/jC/qQClIiB11DyOQnkSRNQbrbRWWbjcP1Uj7dWc/whBDGpJgJN4zFOM7N9dWHe8SJJo2cAZEG3j4risifzoGuOlI+m8z1ydMhdiCHtadxxlvNvLx4IGdn6WmyWXF5A0SaVCj+wU7E/1HorIbKLTQOu5Uy61Sk1hR8Hjet7TZCkq/g8+rXWVu/jrHhI3nmgs/QNhchBAPiAGBv6yE3PfA6UXeWce16Fy8uSMKkjkSX+xHF5gm8+3MtOyrzeHqymhx/HgpvF8SMgLjR0FHDOZZqsmZK+bxcxepiUbxo0sgpb7VjUsu5cXoqjZ0ukqxaIo1qdBIP4xzrkLuaxTSbzkpgyBKCCi3SXa/3PS9HG5KWYkrqEthQZuOr/bD2ijRWLdVS2RXEpFPx5eGOHnIDMD8nnEO1HeSEqxifauWqj/b3pFTCDUpMU5NIOfAU/jFXII36Y0ZxkQYVjd7+Zmpef5DGLhfrjh5/V3kbGRF6Lt5l4/az1dy19ZaedVcUvMstA27sJTfHcOBjgjMewmXOYHC+iX1VHT0fLcnRck16C9jmwYSboWgNbHoKs0LL8nF38VnXOKbGykluWofQUQHS4b3k5hhaimH6g7DqRvA6CEhVSC2pBKfdj1SmgsKfwZqKW25AU/ojM8p+YurMR5Cu69uTjPYyqvN3oVDI0f58KQT8IvFInAQhiURUfkdFwkK+67Cw6mA1101NwetuRS/X0+3tjeCqZWqCx1VDDQ2dxNZd4r09XGMnOzYSf0Tv56ryTVwy4GH2txzuWSYTZExQRfQQlaA6BEH22+XEaeF60sL1QCrtF3wN7WVIFHqUYZkYDRG/ud3xSLb2RhiSLFrOHR7DW5vLeX1jGcMTzDxyZjbpEf/idNUx6MPFf38ACrmM0pJaYqJG0TDzQwRXO1UeI47iVm4ZY6QhaGbBe7lEGdUsGBIHDl+/FhHBIFQIUaSofRS2Kuh2+ZiUbuVIbSerDtVz1wQzk5P8ZP56EdKuo9YRgsDQy/O58rPeiPtpWRHMyApHIgRZuauGplgjZ3hcSNsrMK6/m5lTHuOAegB01zNN2Me+nBRmZUVw7ce9UWe3L8ArG0q5f/4AOrrtmPT/2S14/ifx30twvC6U7jqi9BGsyHuBG2ZdQIfTw/sFL+ILiikGf9DPXw+9yq1ZryFrUPLpnmKeWpjJA98Uc/PMND7ZVc2rG8sZFGPgxhlpPHJmNgUN3RhUMiakmYkyKJA3tvXNLZf+CqW/4hufxuCYWBJCtWwobyfWqGJQXAijkyy/ccL/ZZCryJ/6DldsUhMXKiVMX99T2ikI8NTpy2jztrKtcRdvW0Zg9MxijLGDZF8tgjkeqULXr2zXJdVQ2ebA3tmMbsN9NA25ges3SxgRYefd2Sriit5FcvgzUQwrkcKFX2P+4RaE1mIigeGpC5g680rkQoCE6Ahu+raS8lYHCqmEl88fjMsXJFSrICLYjrypRkyTHIWk4Ed8538ulsGfUCIryNQMCBXYcFTneP0PDTx7WjhTA5toMM5mXIKeA7XdCMDyCfEo5HLe31bIy7P1rNxb26dMvbHLTVGzkw7TAMK/vxmWfAXq36+ACdWrSAozEqp19XGCnpER2k9TdLC6g9HJIWyp+6zfflwSCf3cV6RyAnI1AYmSMzO1rM5VUd/p4uLBWq6z7MfZoaS7qRj95r/BtPugUA/ubnTr72HBWZ/wRVUk1ZELyDLkE6I8yUtLKhe9ZuxNBDPmEbRmgsaIYG8VtRmp0ylq6KazaDMjAIIBpI7Wk7bEMMh8hG17sK/FQ/lGSBgP6x8hXB1KlGkB3S4f3x6oY9HwWO4c9ihP77+Pdnc7BoWBm4fdzKsHXsWgMHD9kBuIVmWhtDv4aJsbty/AwYoA+sE6sWrI5wK/h9H7PuPV0XfyVcteNFIVZxvSyV77RM8ptI6/Dovyj5ELc2Q2RIpRm9qOWtobcglXG7H+Ti+sQbEmLhwdx4odVSwYGs2TPxf2TNj2VLRz/7e5vHXxcHTK/x0FDnqjkX2NbvJbpRys7uSWpCY6g2q+PVBHh8NLh8NLXn0XV01OJtqoprazb3QyVOHHL1OxtbSV3RXt7K7oJc4/VwaZF1nfS24AgkG8Pn9PlvC++QPweAN8sL2SaJOaiakW6mweSrNvJHOj2LvLcPBNMs9YSdCaSeLaZTw96BJ+9NzCiWjqdmN3+/AG/gMrY/8/4r+X4NTtw7DtBdpGnM/Whg2Uagq5MudaPOV9tQ/egBerycO17+QxONbEj4daWDQylhfWFvdUWxys6eKuL4/w/HmDCdEqcHv9+P1w86dHeHyqSdQBnDDrDAmLYYkxiqXv7iPNouCmUVqsCiXw30dw8uq62FLSTLfTx4Q0K4NjjQRlBp4vtlDT0cq5I+J49pfeRnnBIDz4Uw0vn3c117Qsp6jzMLr20bg9evxp4/hiWz53TbwL+a9392xji5/OqvoQwIbOLlYOVZtH8NQoN5m5jyJblQ8JE2k69zukJT8T2rwH9r6PcMybRmnEkDKWc7p+QlDpCRZWs3ZCJqucWXxaIqWuw8nTa4rpdvuYmBrC/RkDSDbGwJALRa2PVInf0YV07A0Im5/uvfjUWXjlWjZU96Y0nB4/4dEJKBQtxL03gjiJjKnZFxEwx+OPiiWvooTrhqkIkXkpbz2uBPwoWm0eDFQhqdsj6pT+AMEBSIyJ4v1zpLy9u439jT7mZpoYnWxmyfu5fdbLjDRQ0tTNlOT+2o4itY6hurDe5p4AY29Aqo/C8N2lDLTV8/mEpzhimkqEJsA1vwrsrLYxNDqT+6YtYtC+eyD7bNj7HgDuuiM8t03A7qnlzllpLDLloR20BMXBD3v3P+oqKNtIcNRVeHIuQKk5er3a3pTu5pJmNuYqeX7sPZh3PAYlv0D2OXDok979qM04dHHg7qZt0FX4pUqsRSshaQrEjoL5LyArWE3qxIXcNiudosZuKlsdpISl8cLkV2h0NqAWzJQ3KHli3OO4PAZWH2nl48p2hibKeWVJOnd/VcaEZBN6wQmzHxevs60UdWga461DGZu1mCd3Pkqlq4WQ4UtQurupM0VxONDFRb9XqXMCNlRu5cm9j1LdXUVWSA63DruN4VFDfnN9i07JX07LZNGIOPLqOvs1Ht1R3kZjlxud9X8HwQEYnRiKUiYhK8pIpOCk1qamtLnX/G/J6Hg0CikXj0vAFwjw/aF6cuu6OC9bx4Dyd9EUtbAg5xG+P9x3vyMSQijXp+K+LJekD0aBV5wsRdSs4cLRU3llQylyiYDKVc3LyXuxNO2ksWsSvsTJVFUZOZYc9qmt6Jt2Iwy9EH/eKmqNQ1ErpP0sj5KtOsKNKqzG37ETOIU/hf9aghNsr0BZuBrFqKUANDjqaXU3oJVrsXt7PRTUMjUJciVnDTGwr7qduFAVarm0TykpwGk5EXx7sI4v99YQqlVw/fRUlo+PpsAeIGzm39D/cKVYxiwIBCb9hR/qdTy5XixnbLa52V/n4MNFGpSdTiKM/wFqep9XzKm3l4t9eWJGgVQGCBCSIJI+IL++i0Wvb6fbLQ7UL20o4f3FaaSYpGyvEFMd3pM0cux2+9BK9bw36iVqbRbWNLrwA06fmwaXkruqhnHbOd8hby+m3qfnl44oOt06HpkXQbKhkLoxDxAbm0xtbQVvRtxHTE4oHqmasmo3VbazmJx5PrOqn0OXMR9Spot+MqVrEYwxsPavCOKVcLp1ACGTV7Lkw14SsKm4jRflETwx+X6U31/T438jn3A7TSmLCAsbgNBWArpwAkoDPzfqyTvOXfeScQkYBQesvqPHEM+w90Xxw5mPMOGXu5mgNuNLfYuzBsf3a0kwPVWPdvVbBI1xCGrTSb+eQCBIWYuNCreGQG0nKWE6lFoL2ZkWnoxuxO6TUu2QUtbawdA4I/uqxBB/slVHbIiGyWmhRJgCfK0Jp9EhtgzRyXWovC78p7+KULsLoakAIXakKKz+7AKxfcGQCzAbDehlXq7+spK6TrGn0d4aB5d1KPh22CKilb0zbWVoHLKjwui8hm7uqI7CIjmbRZOnYPK1IAtNxGwJQ8g8h05dMhHmk7v3NnW52VTp4nL/SD5a9DmqtkLR6VdrESvxLGk4Bi7h82I9iWO+4tntnXh8Aa4at5AzpFsJXbEArBnIxl7PvsJ63DIFpw+KQALouisoaAxh+Uo3IA6uz12QwmvraimoF7+/gzWQW+Xhu5l29IpKhH2rCQ5dgnD222IVkCkB5EokwKSocSxbfz1yiRylVImz3sm7U186qcD4t3CwPo/bt9yE82h379y2w9y//V5emvg8idbk39xOo5SRE22ky9k/uhVuUKJXyrC7vewsb2NNbiMquZTpmWGMTgpFJpWcZI//XtS0O9lZ1kZJk40REw3ovHLGJodS2ergglFx7Ktq79Mj7fEz0kjz2UiufAdj0TcAjBjfzaAYPQdrxGcw2apFrZBy4du7yYoy8MD5hxiw/jK0VevROGrJTtXy6gVDOVxUxtkVf0XZIGpp4sp+xtU8D+v4O2AzIEhwj70Z7dcXgd9D8cJNHO7W8/m2Ch4+I5vHVhdgc/uIC9Fw++x0rNr/2uH434b/2jsa0FiRAgleH4mGRMq7yrH6PDw9/C7u2PskXZ4uDAoDj2ZcRPKvD7Jk4gus3F3NtVMSqGjx9GHgCaEa7G5/T7fbuk4Xd355mLeWDuPalXt5b/FABi7+AY2tGok2lEZpJK++X96nP4rD46emy4/K7vm/T3CaCkSRb9k6ceY7aDFsegKaCyBhgqhvsaRBSCJbSzw95AbEe/rilnreyjzI2KQxrM5tRCoIKKSSno7VOdFGnpuuI+bIayiLVjHIkkH8gFu4+NdWlNIEnh3RTqBoDc6mGNQR6bj80Qywmtm7o5qvDtqYNSuK2pgMHN0SLvsRQrQuHj8rlE+2lLO3qp0hcWba/SZahl6Lrm27ONsPz4IBp8O31/a5VKE5j7p2BydidVE3t0W3En2cuZ9k85Mo46bwWVcOi+LCCfjcHPGE0SjXMiG1mU6nl6kZYeTEGEW7/aa8/vfWdTQS6GynvqacZnc0F49N4JPdVShkEm6cGM3EkqfEl+tpz6LS9W9YCrCusIlrPtqH2xdAEODuOZlcMDoOtVxGrUdHXn0XAl6yIiw8s9BKXYcLm8uLRinDHwjytzWFLM8ReHnYXyj12wn63KT6AkTVFLBTG8GbFdO4ZuwF6B01xAjNaKOHif4vGx9HGwyinP9rD7k5hhabh0r9UKLLRTLnjBrNty3RnDHExAfbK0m26nj2VzGi9vERFRCDSu5nxZIQBiXHECGVQGuZaPIWmigKVo9iYpqV1zeVsbfGxp3bNDwwNA5TZz4EvDDpTnwyLTdvCjIoWcOtqwt7tvvrzxXEnDUK5aTP2demIL7Jz9QkFQdbJDyxuohNJWJvq2un6NArZT2/Zb8v2ENujmFXZRd1aS4Gb70KZjxEcNVNeBa9j8Ka3me9YdHjeHvqK3xdtgqlRMbpiXPJiRp10u/xt1DRVdtDbo6hylZJjaOFRH6b4BzDgEg9C4ZE9zRYlUoEHlmQQ5hBxZrcBpav2Nvz/lu5q4q3LxrO+NT+hRb/TtS3dXP5+3uobHPwyJnZFAa0dOJjarqGhk43YQZVH3ID8PTaCn4YvAdjyTfiAq0FmUTCxLQwFo6IRauQs6u8nRfWir+z3Louvt5fS2XmE0zJOUxo41aSSz8gP/EiRupbesjNMaiKv0cx8lJskx4kGDMSdWepmIYEgoIUlx92VbRj9/h46tyByAQBtUJKjElJq6N/NPYU/jn81xIcJwq0o64k/Yc7eOrcN9nacpgIuZExjSV8FjaNFqWOULeDmF+fAHsLem8jr1+USnV7B8MTwrhoTDzvbRNLKsenWPjxSEO/YxQ2dBNpUOGR6TAnp8CWbThbyzDEj2fbpDyCUiUNpiGc/52NFpsHuUJ50lYB/24Ebc14nd1IjZFImwvEEubOOkiZKmoPTjC7+ruwt8KXl4ndrgFCkuG768QKGRCN+jprYOBCWHM39sTXuGqEgXHGNvyCnFV1Og63gLStmEtHn01ufTef7anmttnpvL25HEGAq8ZFELXzdpQVYoWVrGYng5ou4f6xH/PXDZXMH7KTsL2vo5bKKZz2Dp/UetlVUcSQWDO3jg8lkP8xb3echs9/VM9zziDu+PIwDV3ii2h7aSvVbQ7mnAasFvsfUfC9qA/x9iczoer+M9cUqwZd6+F+y+Vd1by728e8sHcQZj3CZ5vb+GhnPkPjzIRoFNS0OUWxp1Qtlpbnf3fCDo6GsAWBQ8EUXt1YRqJFy0VjEojWSxmmriNgmkPH2GsxxZ68eqam3cGtnx/E7Qtg1Snodvt4+Id8RiWGoJBJuOCtnT1ls0a1nI+uGMW4FAsNnU7OfnUbtR3ifbqmFsYmmXjt3IGoZEHqO93UmybgswcZ6LZx4Yo8XN4AU9PCuHfUvSR+3murqJMHe7qVHw9NWCKH3efiiVnCL62hvLaxk2unigOnStE/RePyBvD5A8h9Djj4tViO7uoQSfWgxaJXEjA0zsQrFwzl6TWFbKvz8W16FmdlDUMfsIEgIJgSuEFn581NfT1jYsxqDrQpeWWDCxCvOye/iTtmZ7CppKRnvQ92VHDP3EzW5DWwuaQVlfzk5b4SISjqe8o3I2jMyNorRbJ/HBRSBSNjJzAydsJJ9/FHYFD0f2ZVUhUa2R8TsJq1Su6bN4CFw2Nos3tItGhJC9fj9vp5f1tFn/SK2xdgbX7T/yjB0SpllJRXUNXu4PMrx/DahlLu+roJo1rONwst3D9Bx862/t9Bm92DS3X0PAUBx7TH0Hx/DcbEv/HJLgkDogx8urtvP7odZW1MTEvnSHAo7doo0uKieWNzOU8PP/nwKbg7USVPQBY3DHKbYdoDkDKdMKmR+oouUsJ0NHd7eH9bBUWNNq6cEE/AIWFwWty/+jb91+O/luD4uhoQQtMIznyEFIeN5F2fUDr9L/g9fqLX/pXo41fWhOCUS/i15k3i9HEs2/IGM2JO58Fz5qLyGMnQBzhYpaDN3le/E6JV8N4lI0gNP/qySZ6Cr7sDw0dze+zzDUoDX531OTes8xBjDSH83+EcegI8Pj+5NR2UNHZikPvJaf2JqG33EpjzDMGNTyLYjpK13W/A/Bdh2NI/vvP28l5yA2LjvWPk5hgqNsPgC6gfeC0XhjkJFGwiVzqcJp+GBSkSLhkVzqfVl5MVgFumxmFQK5HKlTy/KAe5BDxNJaiTxkLcEJCpxd5GDYdIphaPz4L/aGPUxsHXs3yLloo2UeRd2eqgvEnLC7Pmc1G7k26fhGRrAvn1XYxLCSXKpMYfCPLD4XoqWx3UNLvpY61W+KOoDzn8ee8ypZ6cED9TUs2sLxajK0qZhHsnmjFu3t73uiVSXIoQhkVIUSnUSHUGbpxmYWKqldy6LjIi9QyNMx8tx5WLTUS7aqF2r9hNe/Q1onMrgEROq0fUQpS32Hl9k6hQNqrlrLlp1t/9HbXbPUxOszIpzUpFqwOLToleJaXF5uZgTWcfT5BOp5cvdteQfYaRCKOaN5cO52+/FLGzrI0xyaHcPCMNg1kUv8Yf/ZnX5Nbw/NreSpN1Re3EGMO5z5qNrFn8bSS6crluZCq/VgfJjDSQX9/F2BgFTa3tLPvlmGbIRohWQSAQ5IbJcSyMamP4DCfNmHnuABQ0uxgcayTZEBB/U98dF13b/ZYo4g1NAbUJtULGnJxIxiSH4vcHsej7TiSkQGakkURLXwIwNyeSz/ZU89AkPZmKRtyCmq9qoLFbvEdquZR5AyOZkaIjVdHI8CFuFGMjkcq7GJ1sZEdpb/XOaWl6kupWin8422DsjQjuLtj0tGh6FzmEoCWFA9UdfLanhqYuF4tHxjE6KRSd6s+9qpOMiZyReB7flvdqjJZn30iK+o+XIZu1CsYk99UE+vx+XL7+KePjO3X/TyAy2EhlRwdfXTWONzeX80u+qPnqdHr5Mt/OLVUX45jzJXKp0NPHDeCMgeFYYjS0z3yRRkUserUajbONRGUXZc0yFgzpb6Y4JM6ESiZhxc5WLh2oI6RpO49H1oByEoGIHCQNx01kEicjtFcgK/oZJMsJKvUQmQMHPyY04OPmhElcmpmMo6mUVh9UDoojwqAgU1qLQf13mrGewj+E/1qCI7Omwydn4pv9DDYkmORq0lcuxX3Wm0iGXYKw911xRUFC94wnufXQI8xNmkteWx7LBi5jXdU6LrVkkP3jDSBIuHPql1z0Q2/n62SLlkFRatLaN0OrFwzROEMGoF53Wd/eQO4ujFVreeG8a4nWyugu30OgsxaJPhyVNRm54V80KwoGob0SAl7W1Sq54YtcYkwaGrtcpFuyeHnITUTYm0RPkeOx8TFInw2/keo4Hq02N3KfBMPx+TvhJMJIqYJWXSrtxggqW7qRxpzP14dbWX1E1HI8MNvM/kYvL2w+wrtLB7FiVw054QrGWVzodBrM3oN9bd0n3AJeO26JmquG64ko+ACAMk02FW190yBLMwVidj9GfMkakGsYPe5u9kacw8GaThweP42dTubmRLCjrA2t5ITO4jV7xDYS+kjIXwXWDBh5BeGb7+bpYcvJTwzS7VeQLG0kddNdMGq52Dqiq06Mgk24hW1tRpbENyNNuAqUeixKmJkVwcysk5Ty7v1APNZpT/bcN+oPiP/v95Bh6f/4njssBuvRKKA/EKSixU6H00u0WUWEQUx9hutVpEfouemzgz3bDY418cD8ARSfpLdWXkMn/kAQqURgQJSRFxcPpdPpwaSRozrRYr6jhvxGe799/JjfzrU50wg7SnCUrQXMTB1MlTvIluIWxiaZOWNgCK3tbUglAv5AELVcyiOnp5MUoiCt7jvKmsJo1GWikUt4eY6TjwolLBhowWo1Q8FH/e9f3reikDi6V1hr1vx9I7XpA8J5e2s5HUc1dkq5hFenShix5SLwubEnziYzMosGbRjhBiXLJybz7rZyPt9bw5A4E3NzonltVSl3To7g/ilmtmWGcrDKxrhQBxM8m9DtXSUeKGU6wa5ahNW39h581JXUDLmF897Y29PvaG1BEy8uHsL8Qb/tYnwyxIeEc2HahYyNnECzs4UYXSTJmiiMIX9uPydCpZBywag49lb2Fk0IAswY8MdKvDs6Oqhp6USjlBMfGYZU9o8NQRJ7A+m+Ko7YRvRYGBzD2/vtXLDwRTIKXuH9cy7jkY0tVLa7mZoRRqRZzeiVrbywYAxry138eKSBByesICiRYfc0Y9WrmJhqYVOx6KKdEKrhnGExPLgqj7smhjJo7+1oaraIB9r+MN4LvkGo2IBQvRPix4sePl9dAaY49mTcyjB5G8Ini0GuwRc5FFnZRizDL4Wf7iAOiMu+hK905xOXqudf2O3rFI7iv5bg6OIH4zp3JdJ97+EbcAHOqQ+jOvA2yh9uxj/8Mrznf47L3kyNTMG9JR9Q3lWBJ+BhXdU6dtfvZnTkaKLt7UfLSf2M3nUdX8+6nyJfOHJzLGlhWjJ+vQgqjj4McWOQnv46Ekdz/5NxtKCUCjgLVqP//sqjDrEC9ikPw+BF/zzJcXfDgY9h7YM0Z19OUXAmP0xuILx5O+05OWz0DSRXPZaI4K7+23rsoovq76C61U5xZx57G35l2ZALMO5bIX7QVgaxo0WDu6NoH3Ydha4Qln58qIcQLhoawdyBESSE6qjs9uH2BlkyJo52N1w7WEL09ntQbtwgEoVRy8XUQ80ecYfbXiQw81EGhUeSI8gRjoizZqXQN/+RGa5hWseXSEvWiAu8DqQ1O6lVzSMQFLUEiRYtwxJCuGRcAjFdJ6SY1GaCSgPB8IEIkYPxmVOQvzcTfC5CVUbGt5f3mPgBsPEJmPss+D0E7M10RoxhqKAl2hQO5vjfvadIpWJqrPBHmPUIbP4bTLhV1I3ItWhVKm6dmc772ytot3s4d3gsF41NQCIRcHp9fLm3loe+FzsfRxhUvLZkKINjzXS7fby4rqTPoQ5Ud1DeYmfewAh+OFzf57Nzh8UiPc4BWa2Qolb8hk7M78Gi7x89Sg/Xo00YBgfF5p/NkjCu/7mT0mY7cqlAssaOr7aKMVYlW8+VUNLiJErpAr2HxKbN7NWM4dIv6+hyVQBiC4VbJ0eSYVWK0S3dSZ4RQ2RvA8c/iMxIA58vH8Oh2k7sbh8TY+VE/fICXeGjWR97Na8fDqBuE7jaKueZcwdx2ft7esjI/qoObC4f41Os3Pp9FR8tyeCyzZNg6Q9QtQcO/yr2yRpwBlRtFwXYx2P3m5hT5vdr5vjS+mImp1nRq/9c9VJGRDwZEX/gd/YnMSnNyrMLB/HxzipUcglLxyQwOun3I0NFVfXc9FUhuQ12FFIJt06J5vyR8ej+XpPK34BfF0lY61d0WM8lPlTTY+IHYjRpgyOBxLjLGBXi5rlpGj6ptLKluLXHlPOGb8u4YWoqbXYP1/3k4e45GWgUbdS12xmZEMJZQ6LxBIIIiBO3ZKsWi6O0l9wABIPIP7sA++lvoXV3i4S6RdRvdURP4tPDXQxTfU1DzpX8opzB1+VSBloCLFIIZEYPhdp9hB55l2GTJ1EdGMU/Rz1P4WT4ryU4AKqkMRA/AqvPhV+uxWaIRzvqapxyFct3PsChlkN91o/Wiomrbm832+u3I0kb2vOZtLOSnPWXkh2STNOibwkvfK+X3ABUbUeR+zndgy9DX7unz37tibOQdlai/enGXm+OYBDt+nvpjh7+DxOcppY2DlS1UtnuJkWSyOCEOQQjB3NR3fcYBT1kTkVPkEVFKyhKuAFaFGIPKF+v4VtwxBW4Wgpg7f341CH4M+eiih2N6oSBo6K7gju3X4PT58QRPYWFsx4k2tGJzppJ0BhPoLWUjtoiGvUDUEZmc9OXZT3kBuDTfQ28uySHR34uo6RJjAD8kt/I82dnEln6EsrKDeKK7m4xpD/tvl6C4/cgKDTI35sNUUNh0QpYcy/JwUpmZYzh5wJRCDozQYapeFWf825JP58f9jewvUxMo+XWdVHaXMBLiwejiRlIYOajSHK/FKM18eMQ1j9MYPhluJorkAbAEzcBeVcVQsEq0WxOpoLqnQRNCfhnPU6tcQid7iCaUAmhehXRxj/xMh98gUhMgwHY8RqMuBQAnzKcUlUWF37dhEzSwl1zMsiOMpBo0SGXiXqgwgYb93zTmyps6HJx+xeH+HTZGFxePw5P/5SC0+tnUrqVv8zJ5IW1xfgDQa6cnMTk9D/++6vBglHSwJh4HdsrxWiQTinj1sE+1BIfzHwIHG1UmKdS2iwONq/MUDN1/7VIOysAiIgbS0T0ULrDpiMJthCQykis/YGVkxL5qDaMj484+DW/ianpVlLLP6QgfQoxETkYTAmiGSCI3jhjroWwjD9+v48iNVxParieL/fWoHU3omjNZ83Qt7hhTa9g9bJPCnn9/Jx+ZKS4ycY1E2O5I7sTs6QU5jxNwNGKpKtWjIJKFbDtRTDGge2EyU7Aj+QkGi8B4Q9YHf/PIVSnZMHQGE7LjkSQ8IfaOLicTp5ZW0Zug/hse/wBHv21mpwoPWMG/HmCUxcMI2HAfFRSKQuHx/L46oKe72JInImGThcenZYYk4I6r4e3t1T02b7L6espWgAx4PzSOWk8vb6GvOPIEsCyiYkMTzCjCvT2GkShg4w5INeiNIUTLHYgHCU3Xms2Oyzn0ljmw2cM4Y2uWbyzQ5x07auCVcUKvpp6NfG1lwNg9jXTKPn7kcVT+MfwX01wALF0WapDChhCrIAVTdlmbh52Ew/vfISSjhK0ci1XDbqKoRIdr095kQ5PNwmaWIrrvQwxJvS8mAF8U+8lPMQKZRv6H6tyM87pL+Kb/izm/S/jl6ppHHojpcp03MV5hLv7PlgEAwS6G/+hy+pyuHnkp2K+PdLbsPCqERdzc0gQuWqY6P664TEQJChGXUmquht2vYn7rPeR7X8faWclZJ+NP2Ig6hVn9+74wEe0Lv4YVeLk3tMMBiluL+mp2viidj1fskE0PbOegb3OQIbRzPIDVtodHn5cGqSxy02EQYVOJaO02SZm0GzOHnJzDLFKO+qS7/tfoNdFTymb1orQeDTaUrdPbNw3/UGMm5/mAUsncxacT151ExNTQwi2ZyAc53JsF9Q95OYYXN4AHZ1dyD+fg//sdyHtNDjyBRwQ0yDSmt20XbiZXyoDfNt9E9mhQRYPaiVrw9WQMp3Akq8pderZ1RnGyl+LOVLbhVkj5565GVjUNtptTlJClWRGm5GqTl7WDEDMSLj4Rzj4CRAUq89iRiKTKUgJBPkmyoHe14q54zBCTQPYE4EAHPqMmvCr+u2uqNFGi81NolDL5DQrG4p6B1iNQkpquJ4QrZJlE5OYNzCSYDBIlEmN8CfKk1u6nER37uPFuGIKhp+Gs7OFZKGapLUPgbsTpt0Pm55COVMU/6aHaRjR/HWfZ4iqbfhyFmKTGIjc+SQU/UQoEArcOvAKSmPnsrPaQWO3B1t7Oe0aNdVCkKkzHkBuawJBAiHJdOiS+GprOSqZlOEJ5j/twmvVK/mlXs1Zw5fzbl5/IfmmknbiQjRUtfWSkvkZOubavkT+01PiRCF6KMLkv4h+RDEjxAabI5dBWDr8fG/fHVrScBsTUMpK+xCn66am/PvaJPwTOJno+2SoarXjsHWxobSr32eVbU7G/APHdnp8MHAR4ZVtdDo83Dg9lUAQokwqkixaTCoJpu4S9I37sOlHIpMIfSZUeqWMzuNK4VOEasbWrmNg9ALyG7pP8AASGB/hIzZgFSPIoalis9D9H4LHjkwTAqYYmHwXfo2VGuMIblpRi9tno2bS+XzwTl/heqvdQ6HLyLHYmt8QR2zIKf+bfwdOEZyTQJI0gUE1B3hhxN1UebrQSuWk7/8c9b73SUiceNTnezMt8z+iYe57aFsPo/K0QdRAVBE5YgPHxEmi8PF4RA4mzGykO2UyNfHT8AUF6n1BlrxxhLvG6ZmutYL9uFmdVCH6rvwDKKlt6kNuAF7f08nNIyLENggbe11SWX07irPfoXv28yhaihEGnw8hcWBMQPreaX137LETrNyGN24ccmnvS1cq9H0BBwniD/pps/uJNyk5VO8g2aLB71cQKbTxyBkDOFLfTYfDyzlDY/glv5EIY/9ZTHGnwEBLOrKGg30/MERD6kyCzUUIo6+CdQ/3ftaUL0Y9dBEYUsYw3eDljCMPQctUsdS74VCPy7He3YhOacJ2XKk6gIUOCqe9S5TUiH7j4310U76QNN4/5OTN7WIE4kA1fF+s5uux95Oo9VLY5OS5EgMNndU9HjXtDi+3fnGYm2ek8cyaIqQSgXcXpTLRUC9Gh06mcZLKIH6M+O/EjyQC8SoXwVV3IRQcRwDH3QBVO4gwn8aJj3dsiBqTvxXNirncMe09wvXRrMlvIsmi4+rJSbTbPbTaXITqVESZ/jGrAotOiVvwYPHWM37LRWLF3HHwu21ILWmYFX7OGRJB0OvE1LSj/44acwnRhkHRT30Whxx+i4vHzWZnNUQYlGiLj5CeNpbQtY8g6e5NrTnnvcpeTyYOdzdKSRBbVwfVQSexkeHi89t4BFxdoI+A0JOXTWdFGfjuYB2zRs3BWN5/cDaqFTwxzURLm5+ibiVvH7Bz3xAn8q+P+y3W7hP1fFFDYMPjkDoLgoLYW2rqPaKWq/4QwcSJeMfeiCvo48trUvl+v5eKVgfnDo9h1Akd4/8vIbeuk6Vv72LZmEiyIjTsq+mr8QrX/xORC4mEDpef4kYbM7MiCAahtt3BbV8c4om5iUx6p4F3ZiUwwbGGx+acxl9WV+H1B1HKJNw4IxW728+1U1NIMgpMUB5AXlvEIzzF0jkLea0ygkZ7kKLGbk5P1xK3534U5etgyt2iJ9aPx2mnNj9DYMJt7NSO56X9ARy+Lq6bmsrm4hb2tKmQnkCuACQEQSrHMf4uVNHZRJtPEZx/B/7nnZn+j0AWMxjzwe8Z994CBr89D/W+98UPumrF8l3AsuoCwn5Zjjx1LBXhs1GlTgX90XB+1pmiB8wxxIyEjLmgNqKPSCImNp6EuDjym8QIzct7neSOex60R7dXGrDNfRVNxJ8PsQM43P2NugJBQCaDknX9N8j/Dn3zQZTr7kXy5cWw/yMCrUUIgf77kQT8fZpPCoJARkg6CYa+A8UV2dfw9oYOFFKB9eWd3DIzgfEJRurtAR77qYiVu6pZfaSBx38qYNGwaEo9h4kx961uOVjvxDnlod7mewDx46BmlyjUHH2tOJM6vv+R0oBPbcGDFO0X56H9+HT8o64Wu47X7hGrkybdDlP+QrSrmBunJvY55sQkPcmBCm7eY6Lao+0xJTyG2rQLeW9XX51Kh8NLgWE8eOwU2jSkhus5eJL+N8dm5v5AkAd/qaZj39fw4ZnQXMifRVf14b7kBmDXG5B1Jhll73PDKEOPN5xWIeXJswdibd0LjjYyV53OI7Z7+XqWizfTduGpz2XZh3vZWd7e/0B/AjFWE/qYAaCPIqjpn9pqk0fy/ZhP2OTLJsqkZlZ2NPaEmf3W80UOI+jq7recYBC14GH5xCQG6ruQ2WpRKA19yA2AeuNf6W5tIC1cjycg4ZmNdSxZkcfn2/LxHfgE3p8P782BLy6F8i19WzMcRahOyb1zB7C11cAZg2P66JDC9UoujWtg9OaLmL/1bG6pvIpd5yswu6r77YfyTWLX+4APCn+AzLlit+yf/wIyFd7zv8BnTkbx7kwiPzubmIYjzBsa5LUlw5iWGY5O+X9zHur1BXhrUxmtdg/PbKjm5inxGI6rBluQZSYn2vx39vD7yI42Ut7m4JPdNWwvb6W2081jZ+WQHh3KHdNiuHcnuGPHc0bzq3w/rYWPzgzl+wuiidHLeHNTGS+tKyE9UIb822XQcARpexkeiQKVQoEA3DE7A1OwC2X+V6L9wLYXTupPJSlYxVelsLW8m/3VnTz5cyETUi34HG0sG9138hJjVhOdPBDnJeuRjruWmOh/bBJ7Cr+P/5tPzv8QhIRxsPOEhnypMwk6WnFMuhOfSouQOBmDJYVgc37f9SypsPgTUXQa8Isurqb+1vZxZg0yiUCXy8fiNTKuHvYO2XoHA1Pi0Edn/qn0wPFItBqx6pU0d/fqaQZE6ECuB03/GaGgCxPz/IIg+jYc+hTJwU9gzNXizPMYpHKcUaOxd/uIDemdfQ2OTOCe4U9ysHkfLa56hoYP4Zd9Kuo7W3F6AwyKMfNJ5bOckb6MPbVSbO6qPsd/Y0s5Q4fs5fwpg6mqC6e4HuamyJllbsKnSSYw5xkk7eWitqKlWEwXtZfjHXE10qSplKYtp9ofQqjMRapFjbQuD39Qhn3gFZiLv0T6/Q24znoPlbeDQHMRkoJV+CMGkxeziF/2tnDn7HSkEgGrRsqYxpU0O2PJbXBw+eoAa6fei/rH63vvlVKPTCLB6+87KEo9XaCPxOgPoaPGQ5heSdNx9x9AcZzba02HG7suHtPhd0SSNv2vIPljc47ixm6ctQ0MPPEDrxPCstC5Ormq+W9MX/oIHVIrsSEaEixayOuNtMkqN5FQuQmkChyjxL5SPx9pYE5O/47VfwZh8dkEW/fgHXUtim+vEKNpQEAfzSZXCjXeADFmKS+sL0ciwNvz5zI2Zi/Kmm0gCASzz8VlHYjEa0NliBYnFUcRCMsmLimD5NZ8ora/wMEZ9xDSXta/AsVjp7nTRqQhyBM/9eozwj1VyH65qrfKr/4ArPsrzH0OIgb0uxajRk5sqJrcmi5um5VOTbsTuVTgrEQ/lu9PF1uwaEJBH45u9Q34T3++/w2xZoqpKblGbChat1+sjjvjFVAZYMuzyBv2Q+bp0F2H6btLcC76nkZ9I4qAAZetnTBHMULtbjHtFTUUb2gGSmti/2P9L4LD42N/dQcAHl+AO74v5bkzk/H6fITqVKRGmjAaTX22abW5abF5MGvlhJ1ErH4iwg0qbpuewm1f5fLNgVoEAVps8cRPS+WS8WlMTDJR6HSQlH0h6d9cSLq9heIJz3PdunA8/gDJVh2RnVvZO+sbjEpwyENZ/GktTq9ImHeUt/HIvFQuCMuCplxw20CuIWCIJW/ofRT7wtAKXjKVLTTn9aYVsyM1aP0dnMMaOoMewk5fwvayNgZYlUyICmJrKKYzOYsIxf+879l/E04RnL8DpTWR4GlPir2D3N2QsxA8DoRdb6K9eidYfse3QBMCyVP+7ipxIUruPSOaZ35qoMvpY0WelyfPzsIQ058M/RlEh4fy3vmZPL++nN01DiYnarh6bCQBjYXg4AsQin7qcdhEoSOQMBHJr/dB4mTRufeYl03Nbph6D8HS9Xg0IXQOXMIje3XcN68v8VLKpYyKTWNUrGha1uX0cqi4FGhlfX4rOqWMaQnzuWfPJVwa9Xa/8/X6gwiChFfz7yPZmMwT05aT/u11oo39hNtwdzWi3P5cn22C2nB8pmQ2BXK4+tO8o34XKq6elMCEuAwea06kw+nnshFLmOv+CVnxelQd+TQPu4UQezvyinWkdDbyaMppyI0O/JowEnc/SHDAGThtAmq5lLoOF0t3xfLAzJVEOgpRmaMIDc/iojESXjvOFC7aqCDTqoSyXAa4C1jZdhqXT0jiyZ8KesLTs7LCOVzbG9U5M1NHWPk34h8la2HSnWL7gD+A0iYb9kAEA09sKho9DPK/hdp9qMZeT06oBMKOi6REZIuRxeqdPYuah1zPG0fEcwzV/QvEjrY6hHUPUTXpBZomf0K8uxCPTMceXxJ3b3SyfFKA8mYbCaEaKlodXPJdG+dm/4VZExwMjjURKrFjKv0WDqyEOU8R3L8CoXYPwcTJSOLHkuQro9kUwbbRz7Gzex0jFUpiTxDHN+dcwQe5Hq6yOPvoWcJ9dfRrslS9E05W3XgUA2PM+ANBrl95ALcvgC8QZJraCc52Ksc+xs/ubLY1Spma7mNKwEx05hlI8r8VN1YZYfyN8MUlYvpwxyvgEEXv7P+Q4LznkFtSwJIEpevAFA8zH0bWVUtleyh3fprHJ3NkSL86r9dkUiJDMfdvBHw2JEq96D2FIAqq9UftBrwuMVpZul58DyVNgfD+BO63v8Nm6K4Xz/+PVPydBAa1nLkDI3l5vSjOrW13ceknhby5dDjDM/qXle+paOOWzw9S2eog2qTmmXMHMTr576fnfB01rNxW3eNYHAzChzsqGZ9qYVZWBFnJ8VC7n8IuPYp5r6NtPkCtYQwev1hFKBVgf+hcjO4mUtYu5bORn/Z4+hjVcpZNTKK03c2TsS8xJaeJQQceQKEysmPM6yxd1YkvIGoGMyOiGJMcyqbybl6ZqWNM86cYD60nGDUMbc75RLXW8Ir3CThYANtbQaai0/wFWP9xM8dT+H2cIjh/BzKJRHxiMk8XZ1+FP4p9lSTSnlnpP4s0ayp6VQPZkVpsriDRRjUp4f+akGVWYjQvhBnp6urApFGgMIqh0hZzDqGLViA0HBZnzIYY3H4BdVsZZJ0FW3q7YFOyFiq20DLnbR4qiGTVB408eXbM77aTMKjlXDslhdnZEXQ5vUgkAi+sbWf5iIeIVfdtvQBw3ogYBkeO5jSVjgSPh4SvrwJnO8HQFIJaKx3GgYTve1skmgAyFVVpSznUauSB7/L6mHm9srEc1Yw0DtWK697/swPJrNnM0xdA+WrCV11A3YKvURlSULXmYjEZcBkshG+6k2DqTITVtxM3/ArunnYu9/xUze4aJ3Nr4Kwhk7kzUULojme5YOitZIdnsDavnnRTgOnacmI/W4xz+hM4XDIelm+iSD6R1y8cQqvdS6hGikwicPvXeUgEOHOAgavC85AX7xdPOnWmWO78B6FRyrhzu4fMWe+RdvAJ0UAvcTLEjhD1SMEAbHwckib13TAkCeY9C9W78LTXUiRP5+0KC4VNDtRyKbNO5sfzZ+G2gceGtXYdtzScS35jKr5AgEDQjuaoMPXNzeU8u2gwj/6YT027k9XFDoakpOPVSQnWb0Q4phH75HyEtNkE5r+IpGILQaWOgMqIqno/w5rzGRQzBlt4Do7zByDf9iryzgpqUxazomsQOgUYpH0tDrqlJ0mJGGMICAKNHfVEas2ihu44SCUCwxNCeeuiERyu7cDrC5Id3kJr13JuLMhgf534O9tQAjMa5dw+5TqMmXPQBvzIrZkoAgGY8zeRiB4jN0chbH0ORl/d65jdXAiV29Cds4JV+zq5dmw46rKP+zpohyTi93nxmRIIdlWj/v4mkeSkzBSrCyNzoGw9rDyvdxu1GS5ZDWGZ/C7q9sOXl4vvOpUR5j0HGfNE004At12c+JRvAGMM7sjhdDRWYXN58YZmYIhI6hGnLxweS1GDjV/yG5FLBa6alMyweFP/Q3Y4uXLF3h6TydoOJ1d8sIfvrx9PfGj/50IpE6B6F0LNHi4LN5A0IZaHtth6nLGP1Hb2/pajh5Ae0kVBtYyd/jAUHnWPi3akSc1PZQHuD34KPhfS4+Ztyycm8fL6EuxHKw5fFeDD+U+T7i/i8d2BPrqa/AYb54+K54phRqbl3YH8qN+T0FWHquEQIyfeB5Vbe3fuc6E98Db2yCy0hj9uvngKfw6nCM7fQbMsAlfYOGK2vYBwXJicwReCOeFfdpxIfQSRf6Ibwp+BSqtDpe0bFVAbrPxlUxjDTGNRSX2s2OJnTpKUC8bfitTeLIpem45LufncSKRSUsONrBiRwOA40x86tkYpI0SroNXmQSkIPDk3keaC7YTp7aw8P5X393fQ0O1nydAQ/HIVFeVKFua9h7SrN33VPeE+2iIn4+9uInfsh6R4ChHwUSJPp8UVh0TqpdXe36fnxPLdd/a2MXvhIGgpAl04nQEFCzYnYNGlU7irm7iQDr4991G0ddsQZj+BxGPjLE05iUsHktvsRyGTkmyWIlH5kU69l1iPDW3FD8zr/hjqm3rcmtV7XuGD8BeZGpXAhA2LqZrxOgPiRxHprQRXN9+fF4YzICW89EuUx4hk9DCx6/ifSEdmGj1kWJTM/9bOK+e8yiBFHRE7H4a1f+1dydkumjueOKiFZ0F4FrJAkPbiJuJ9ndwaJ2FUUggjEv7Jl21XHSgNkDgRY8FKnpoyhScLrawrtZEZoeeOWak8vaYIty/AzZ8d4IZpqWRFaNGr5FS1dPFVgZerm/oKiyn6CYmzjWDSVCqV6cStvgF93T7xs/1vIRt1A/JJt1Ex5WW+3VfBRzvbaHc4eGBBDBnSSuLMSqraxejO5zVGhuQsQnr4U3F7qegYLfn6KsLG3UCw8QhC1pmiaZusbzRrQJSBtAgNB5oOUG1rwZm4mP276vqs80thO9eOy6DZ2I1FGkNadFrvcU5suwEicTlRf+WxIbM3Ulgfy9wUNf7qo7oohY79c7+iXW2hpMnJ9k+PkBOjZfKZ3xBrL8b69RJcpb/QLJMSs+6RvpXlznao2vn7BMfeCl9fJZIbAFen2HrlivUQNfjo97FaXAYw+S4UXywhvKOKcMCvjyFv6tuEZA9HJZcRH6rlucWDqW5zIJdKiA/RnLQpZ22Ho4+DNogNdWvaHCclONHOQvj4IqTBIAkqExfmLCJm/rlc+X0z/kCQjBMq5qqdUu76pYX91Z2kh3dwy8x0nllTiFImQSYFdWcNBAPkSKsxqCxIJQKN3e4ecgPiXPeVIxIenzKcqo7+rXnqO11cNiCA/MiRPsuFjkrUvs5+68s6K/D7nf2Wn8K/DqcIzm+gqq2dWkc51Z5Sxp7xPGElG1DU7ROrIDJP7/fy+78ErVLG1VNSWX2knh8PNzAmOZwxQ6ORho3H2VyIr202+i8vF03+AF/OQkJTRnDdoD/nx1NQ38XF7+2ioVMcXO6fauWS3Puhs4ZYYEjSNAJxqcg0I7Glns5ho5ryhBVEdR1G6WlDGjsCQ9RQGsorCdUIuCNj+LrYSHWXj5kZIWTThKm7kCRLImUtveXlEkFsl3A8LGoJ2paDoAvjyNjnsMusXD1ZSUFDNxNTrehVMhxyJfqDH4MlHcKz0DjrGCv1MSZMSUBhoEtixqCPAIMVPC6CrO9LBIGAIMfpDXDrJi/f5SzDbA6ltKWJ3XWdmCUOBth+IS5zMkSkw5JvxKhNaIqYRvg9+LxQuQWqdmCVKVg5ezi2djttWhtBdRQBR2ffqgGp4u86UEskApZAGzdO/wOz+t+D2y4O4GvuFquTzv8U1CGkbb6B57IvpGri5exvU7BiRzXPzo2itL4Fn89LoqmV7aUNPLy5kwiDijcvGEhQyBF9hY6HKR4h90tirJlIjpGbo9DseYXOzAWkJgxhniAlIy4KSdBHmqkNbeVe3hmbysbAIMpaPcSGaugOOx+TJUXs8i6Vw45XoasGqa0R9r0PR74U9XOJfdMH7tYafPW7iK3fS6c2BKc5DehLcMQbK2dsaw0FmuOs27x2Mf10QiqN0VfD/v4uzLKAG6c3SEOXE03kLLLzVpA3+wN2dWnIL2zim31iJGh9QRvfH1TzysJkQif9BYVCw5aq9Sz2nESg7envMN0Ptno4UU8YDEDDYbFyUaaGLUd1RvoIsDcjdPROSKTdNUTWrKY1MYdokzi8aBWyfoTjRJjUin5RXYkg9sTqB3srig0P9EbXLanIC35getMR9i66hpfLIxkd6qB7/9fg7sYfmkZ1MJ791SLJKGzsRiWTcMO0VIKILXUqQ84jqXo7aTvuZOXU59lki6HOE+x36E6Xj9CCjzlryAW8s7WvjlCvkuH3B+jTifnYtej769qC2ecQ1Fj6LT+Ffx1OEZzfQK2zmBs3XofDJ4aGM0IyuHfOU0SqE7Aa/phO4n8zYkM0LJuYzCXjEpEfN6NSW9Np0phxXPg5ys4aFBormqihoDb9qf0Hg0E+2V3dQ24Ant3Wztlz7sbwo+jRIilbi6StGIYtQaeSH+17YwEG9dmX3+9HE56KprGJpQP9aOUB5L/eiVDyC5gTefrMVdzwVTHVbU4MKhn3zcvgwx291SwSAa4fbSLPE2RP+jtsyZPzXI6OEK0Ck1pOaYudgVEaDDKXWAb6zVWi7w0gyNVsmvQZ1/7q5LLxEZxd9RMRacOQRw4QK+MU2j4DR0XOtXy31obD46clejJ2t4XzPizoCZ3PS5vOgwXrCB29FKx/svdM2Tr45PyeknVBHULtOWt5Z3stO+s7mJ7yChdkHSJp883i+tMfgIh+MuR/D+r2wTdX9v694iw49wMYfyNqmRa5S0u8xsZtUyLxS5UMSNYjEwKU2eRExnp57xIZdpcPp19Akjge9keJ0SAQ0ysROVC8BulJqvrwe1EgzrQzosxkRJk5WN1OeW0r0XELqesI0t4cZG9VOx/tqiJuhoo5W5/o2zJFrgaC4uCk1OFtKkR+PMHxeZDveQ3l9hfRAuFA0+IxDIrWcbC2VwM1NS0El6CmLXICwY7j2oRIFeKkaP4LYi8zezMMXAxJkwj6vQjrH+ld15xI0JKGUnCjVat4ZJ+eh6a9Ra4vgugQOU/82HdgLWt2UtrhJ1xiwLzxIWJm3kP9wHOI3Ph070oSKcT9nY7kjlYxkuRoh3PfE3VJ+z/Ca06gaeRyJOGj0B/5EkXtHhomP4FTFUHckddQt/X2HHMNWMTh4Q9T0+FBXdNFSaONFFUn4bQj01rA8ttdzBMtWu6Zl8l93+b2LLttVjrJ1qPRm7Zy8Hvx+b3g6sQ5/w1sdhcWWwHyn8SSbQEw1R/i1gu+QfrtRciajnpjCRIGnfUhKrkUl1ckUHaPv6cz/aQ0KxEDR6Gb+BhhB14ka98DhI6+h23y0azY2ZerXDE8BO3un1l4xjW02Hz8eLieEK2Ci8Ym8P2herImWIkcfKFYNHAMqTOgtZjgvGcRNj0lah+HX04gdjQq5SmR8b8TQjB4ouLufyf27t3LsGHD/keO1drdyTP7n2BVed9Z5PkZF7Aw6WKSrf11Cvn5+WRm/gtmwv8h8HY18tHOKp7f3k67o3dQum1KLNdEFogNJHXh4iw5ZsTf3ddJ763HDt0NoqOoPpyWTjvl9c1oPC241W1Ig9HkVdnodvsYEqVCrZHwab6U7GgTY5Mt6JQyHlh1hLHmLsaHdGGVdKPI/QIIEMw6h2DVDuweLwXR57J8vdgxvsvp4YnwdegCHQSnP4TU04WzsQh1yQ8EOuupjJ7L47lmNlU6SbJoeGNxFovfPUSzrW8l1UezYEyiEUnC+D9+Q11d8NXlUPRzz6L6EXdx7uER1Bw3kI6IN/HWtCBGpSC6Oh9fXv9H7+0/gq3Pwy/39V2mj4Dlm08aRSpt7ObTvdW8vaUCfyBIapiOO0/LoLLVzqVjE6BqBzQeFgfeoB92vI537nPIFEqEH24G23H9h1Km45r5JKqw3gE08P/YO+swq8q1jf/W2t0Te7o7gKG7G0EEFFBQsLtb8Njd7bGP2IqCiogIKN0dMwNMd/fuWN8fC2YYBut81jmH+7rmUla+e+2117rf57mf+/H7+WZ/JQuXHqTN5cWgVnD9mBTe3VxEgAbe6XWEyI0L5eiEqISRd9JcX83OwDPYWa8mITyYPvFWFBoD2ZUtDDFUEPjhhPZy8oaeV7I6/DJ8opraFgdbi5oZmxJARIAWt1/JqLQQasqLSU09lqJytcHaR6Fiv0yiFSrZ1j8wHgwhSBV7oHizLOiNGYCw9gkqg/qREzcfRJEHVhRw5egIzHqR6z842kUn/fLcVAa3bSH4++spG3U77/sbucGQjGHXIvl3NvxW2V5BPIU5X1MpLLtBFjmDHKkZcj0eYyjb1d35bFcLu0pamdPDTIzVxEPfl1JnczEuw8plQ03EFn5MeMVBvu7xMguXHsDl9WPWKbl8eCJ9rT4GfDGI6rEvcNA8kma3RFKYhcxIS6eJFYDD46Gk3kleTSsGtZJko4sAfyNOVJhzPkcVlYmw6l5oLsMbNZC8/g+wzx3BAN8uEjbcRvbAp9hmC+WskBqCl1/a6diSNY3nY1/ghc1y5CszwszEbmG8/GMeHp9EbJCO989NQGsrR6nW8o8NDo42+jm3fwwrD1Zhd/u4rK+FMcJOzJYghB8f4ZPur1Pq0tPs8GCRWhkS0ECvYD/GlnwkvRVBrZOjdbpA2L2IltRzaDClEqwFjw8c5niirAGn/Dn9lfhvepedjuCcBJ/LTpvbTZmtrMu6SlsFOs3fyDP97wh7I2QvRbXuSS4SRMYOvZHHi1JZflSOhMWGB8tC5qSxsivov5vqUxs6GbRZLQasRg3UOynw+rl4wzUMD+lDfFAIDxRs5NKsy3lo+oz27fcUN3JddCEp62+QxzHkeiRLJDhb8SvVeHvP5+uqMHaXNHHhYD35tTbOiPEStvdtMEWQ19BEclQoOosVe3g3Nha3cfPi/djdDsLNWuYNjqfepehCbgAa/HpcGiu/yUrP7egkUPV1m0lezDmUbTjSabMdxU0U64eSFR3wW47+/4fpFOLkwKSfFE7nVrfxxglVaEdr2vh4ewmXD0+QS+Xjh4ApTO5lZm+AC79GFd4DX+4KFIOvlyuEanMhbhj+pDGomougPltO94Wks7+8mbuWHGhvSWFz+3h+zREuHSYLRx8p78mzF35HU1M+gWojyp3v8mXEQh5cVYPP7wJayYyo56kz47jri1yWTFUQeNwrRxfEt6GX84+v5GtvNapJtBpJCA+kyebGalKz/EAVBq1ETdEOQrQqEoLTUY+4Q9aA5a3ubLQ54g6E4bdAz3Plf9dkQ+lWgh116KIjWN6Yx/3nzMKo0nOwrJVJPQJZsb/Dryg6UEtSkJrgNXJTVqXHwde1m5k49nz69LxANoz8OaJbtLGD3IBcll+yhZroKdz0Y2mH1YQulhuXHm4nV6uy6/BJHgJinMwf9Rb3v7uLS4YlICGXhYuCQIlTT/Ss5dS0ukmsW41SYyS3JI665ijGdpcrRX1+iT2FNaw/Wk+93csZ6QEMVh5BKNyN6PeiL9uFd+A1CB/PlNOKgLJ8G0meO/gg8DGcsb1xT/iQc75oweltZfz4zs7kAEJLOReluLC7LGyulBibHsrY9BBGpYVQ3eJioKEC05KpiM1y5PfJrIt5VDmNx1fkMirVyn0T40h1H0LtNiD5PQj1RxhX/yGrjNPobVUwKvseVPt3ySeLHYQw6FpYehWO6KHYzckERvZFr1Ey5rNaFpyRRlSgnkF/Q3Lz34bTBOck2CtzaHGZmBQ3mT01ezqtGx41gkjzr+ua+z8Jr1v2FcldLlvTS35iNtzBDaNeY3VhAPMHxzEoMVh+4Br+AHdWhRJC00kE3hj/Bj+U/EBRWzm3DbiDvmGdo3+h/mqiNt4iV7aMvANW349w7OGpyPkKzznvMyy5GybBRajQyCWBJegdldD3ImrcKspafCTLrcnQmy2MT9Wy/LJuNLXaCLXoaRWMeFEwMCGIbYUdxEQhCsRFReEP/o0eJqZQyDpXrl6xpiKkjENbdxDoTBAFobPXDoDP50dxCmHn74rogXIjyeMmaEoNjP3HKQlOg81FSUNXPciW/HquHnVCGiM4qYvLsDMgBV1LKaKtDqxpSGGZCPs+RjxueKjUwPmfU2lL6dJvy+nxIwjydzCzbyya+GjCGMiewhpy03vS2ubmudkRHCxv4Y0NBWRXtpLX6OXjs4Np9glIEb0QKvdSO+BO/rW1nKQQA8mhJnIqW9he1MDYCgvzo2t4bLeCsGiRpSUvcnhfNqIgMj9jHrNDR6PDgNrpo5MiZcNTSOlTEMJ7yP+2psPczzjgrGZzYzbp5liKW0tw2wSSQwNICo2gW6SJdbmt9IzVc0a3YMKyP5IdygWRisAYroy4ktTAVDnC+Uuo2n+KZQfIj76K2tYOIuX0+LpEjtbmNvPPAdewq6SZ+YPj+Wh7STshEgV4/txeWEQXkStntqcEo4NTaB3zGPXVIkZXNSXeAMzlO7mu+lM81gw0TZEoVi2Uc0OCgDjsVtS1h9rJzXGoavYzOMXBU5uLST8nizDzfs7rH4vHYuiig2lKP5ejNj0LmxbgiulGa6+7qLB7CdSJBAYr0a1+vJ3cAJj2/4u7zp5A38wexAfriFVUo6otQtj8IkKfeQCEHHyLudb1+DPOQqzc1TGwkq0QN4x94z7i6b0CR8o9zEjVMCfGyuPnBBJh0dItKuCXv5fT+H/jNME5CZ62RupqaumW0Y+rs67lw9z3UYpK5mXOp3vQH6RnaKnA7pHA70fts+FRaNFZ435TVc1fiarKUrIrbdTZfcQHRNG923nok8fJBoHOJlKqlrP6ljcIN2vbm0H+0UgLSiMtKO0n1wdJjbIzqcEKTSVdH55bX2Jvr0wGh/sJWX4LQs2xygiNCXHaB4TrOr88RY2GhNjYTsv2lDRw49gUXv7xKJvzGwgza3hgSgpaswmD+jf2FhIEOZU34WE81u6oll1FcvRYRifO5seCDrJw4eB4EqwyqciuaGHxrlL2lzUzs080YzJCCTP/tu7avxpB8XD+Z1B5QK4MCs2QCc8p0NbaRqC+a+SuW5QFx0mkpLCygfx6O5IkEWbW0C0mHbs+GEXUYASfB5WzFsWJbs5eF3x7B9Fnfo1WJbZrLkAWnnePNLPo4v4MTJBF3QW1bdz5ZQ5Hqjt0NA+e1Y1JmWHU2ty4/QoyfbmIK27DP+ERKE1DMoYxf5AsWj1Y0czAxCCm945E625A13SEhdZaHvY7ONwokz2/5Ofd7EX0R8uIVY9hG/sIdRP/iXXlsX5h0QPId7ewa88/qXe30D9iID1Cu5NRVEdflwqyP8cekMq+yNnctLiJKb0sjE8P5sKBSahczWj3fQg5HyNF9cM7/FZCwzKYZ4lFcap01KkQ0bPrstjBaP2dG3+eqvopKlDH6oMtRAbo8Pj8nYxF/RK8t6WIMbE/dtI7CfVHMdfswONpQrXhMawDbiPwB/laqGP7wup7OsiJJMHmF+DsN7uOUWuh1q3G7fWys7iBm8ancsune/k6RMv7Z/6L4A33QVsVTenn8bV2Gk8ua2T50HOIMfgpb3azrriNZKuOMwLKEEs3dzm8urmAmc1rIL9WNmVU+mQtos8NAy6H7W+CKQKxcF2XfX01uTxweAy7S5oAeG2ni2q3lsfHCKhdjfBvdeA6jd+K0wTnJPgD4sgoXcI1i9XcMnkyw8eMQRRB8ASQEfLTFSn/Fsp2gwBSYxH6uiPH+ieFolTp8LsaEIOTQffbGgT+2aitKuP+FQV8d6TjBfHolG7MaXkXof9lsOFpxKCEv10zOV1gBGgDkL+ArjI0SfKzKqeaPq05HeQGwNVK8N5/EjTkBsjeJZdcB59aLJwRYSa7rIm7p2TS6vCgUSlQi5Aa+W/a00f2gqBkOUrSWkVgzoc80ieC7YnDyGlS0is2mJ6pCWhUCgrrbJz/1tZ2/dOu4kaubkzktgnpnVoO/K6wxMh/PwGfX2Jbfi2ljQ6MGhUTu4Wx8pDcqiTYoGZy9/B2nxyA/PJqmksOMqBsCYa2YorjZ5LvGUZqcjIEHvst7u1agURdLhlmJ/dN7cb9Xx/C5fWjVogsmJyOAhiW0lENuL+suRO5AfjnunyentWTg+XNhJhU2A3d0Z7zLn5bHXSbjcIYz3ufFJNfKxPLvJo2ekRZeHxyDKx/EFvaJDaVre4yrCPuBkYIIoYVN+Keu0JeKIgUj7qdB7LfJLchF6fPyT+PfMzzQx9jbNUB2PQC/szpNGXOI9HvYfnZGs5f3sI762v4em4TWV9NkMvyk8YguFpRtVYSnT7513xbHYjoDb3nw94P5GdQzACwRBMTYmJ4opYNBXL1UWmDncGJQWwpkCOSClHgqpGJPPxNLrFBOiacwkOpptWN54TKqHZ47Cj3fQA95xKw+9WO5ZKvs/gbwOeBlko8Peeg2vdx++LiQQ/y6iYPM/tGc6iihbWHa/FLkF3j5P3GbjiiXyXSAJ8d8XKoUv6OK4MHYhcd7Cmz0S0ikNGqg4hrX4KofrJ30AkQA+MgbwVMeUo24IzIkv9A9gVKmYTkaESqO4pYtqPTvs7ooRzJ7XxffXWghht6q0mI++mJ12n8vjhNcE6CITSBlrghPK89yoFigVyPnrSYMPom/85mTCXbobUcdryNgABpk2QhqaMFjn6P2E2J1JCPJ6Qb6ojf4ED6J+NodUsncgPwyKoShl1wPrHl38gP3+4z/6LR/QwC4+HsN2SH2cA4WfTp6xBDF6Vfxp7NTjSW4i67CrW5SG214HfD+qdh8PUQ3q3LdlqVkj4JVhweH5IkoVf/Dj83rRExMA4paSxC/hoidz/NdMWLTDeG4ur5KpoA+V45XNXSSdwN8PaGIuYMiCU26NcbCv5eqGqyUVjvoKDegV+SSLRomNozkh5RFtw+Px6fRLBRg07sGLOmpZA+P85rr1JLLN5A3fCHsUdehl5/TFMS1LUyx586hRKHniEJGt69eAAVTQ4C9Sr0aiXdIs1Qny+b2UkSXnefLvvXt7nZlFdHVXUls337MLqr5FLyYzANuwOLekinfQ6UN2NzRUDFXowZU+kV1I3V5Z1n9vHqAPzGUEqGXIVNYUe6ZBVGQSS6IZ93zX3wRE1hnb+F2/a/xAsHXqefIgbn8Ef4wD6Ytz6tRadWcMNoC8+frePGL1vxe73yPWuvlyuzQHYgzzgLjL/B0iE0DfpcCJG98BtCaZAMbKkUeOVbB/edEc3ZPYPJq3XSM9BJSqZISY9gmjEQFaxnSU4tDo+Pw9Vt3Dha26VC+qIsLRbtKdJkuiAEUZSNO0+MNPm88jPjxN5y2gCcWjMHM2ehsk4mQWujVIjgnaN65gwIIKeyBVEUaLJ7EAQYnWgiK9jP/bs9nTq9a5QijYog1le5yK5sIbDawRj/21C0HiY8LJslNhaBIODtezlKvwv6XgzmUxiv6gIgZRxCazVucxzqwnUIpXLTWHv8eKpChtHm6tyXzKBWojYH/TpLiNP4XXCa4JwEnVoJyYOpD0iit7ORvgYrVmvIKcOz/zbsjXK+/ItLOpa1/8iKqe13G4VSOCEmDaH126H+MKqQdISwv5+yvdXp7bLM5vZh96sgOBUuWfnbLOL/TKRMgCs34GooQT3zXXw53+C3NVAYP5t/lUbw4llWAtTjwKSWy1RzvpZfKImjEbf9k9Zu52Nqq4GqfackOMehU/3KVMGvhMIUhmfkXShFhVwqbwzDN/Y+moOyOB5jFE+R3hRFZDL9J0OSJI7U2Ln7ywOUNsjGZmatkpfm9iYp1IjPL9HQ5uL+rw/x9tyOe9zYmNPFu8W650Xauk8BfaK8IKKnnD747i5wteCPHcq2xGuZ8+I2lKLADWNTuHhIHCbdsZRY5QF4f1q7MWPauA+xGjScP1yHQlOLiAY9USzeXsOTPesJlOxyA9MToN70NFcOW8yV5Z0WoxSB6P5ojqziyqFXsbfhEHWOOgDGhw8i3eXmw/6zeSFvMa6iT3is981Myd+OcCwqoQDGD72JK1Jn80XJGrwhEaxgOC9tkgseHB4f939TzIJpZu6ZpiS+9RTtJVR6uSrst8BjB58Lv1KLRxJ4ZKeCpTnypOW2L4vZMFNE3HAV2GpA8pMAEDeE1n7XMzmzO59tr8Xjk3h7SxmvzkrjhXVlNDq8XNJTx5mxXtpMZ2Jsq0Xc+z7ordD/Usj+EgZfB8tuhFF3ydo9kMurRy+Ejc/JOj5TOPaJj/J4zUYCXN35YG0sjXYFj8xIoMZexbfrC3B4fJi1Sm4Ym0J/xRHScp9Bu66QAb3m8L5zCE9sbkMpCjw8OY6PdlYTZtFRWGvj2rPTEdY2gNpITUMjwqgnMXtqUSsV2KKGY3lrEPS9CAKi5OaoJ8Prho3PotnxFv55X+NpKCLHG86SYh3SYZHMCBPZlR1+RHeMTyAq6v/Xguc0fhtOE5xTQKdWEh0ZCUT+4rb/Fmx1sO+TrstLtoKzhdooH+cvPsjdkzMYGxJFhC0XijYg2esRInvKVT9/EyRYDV20DgPjzERSC7GDTtlg9G8DQYDgJNSBCTTWlGMf2JOluU70bgcLetbgU9RxqLwJDUkkClVoxz8kz/zVBrxuO2WaJDLy13Rth/AnQBU7AM/Ul/E3luJTGVGEpBB6ApFKjzATbtF08iG6dnQyUQG/qXbrl+H3/2KD0KLaNrYW1LeTG4AWp5fPdpZSUu/gUEUz45JN3DDQQoLeK8/iFcouZo0ACAqUihNCBCod9D4f4ofhc9lYlO3l4S/lmbPXL/HsqiP0jQtgaPKxiMbuRe3kBiBz5z08P+9Vbtl0Iw6vPL4+If0ZnHopVlseRMR27TQu+YnV2pEpiYyze4aSULceMqaCz0X61rf5cORjFHlaUaEkbecicoO0PJn9evs+QxSWdnJzHOLWVzh35lsYlAZ8gWMoPCjw/MxMqtu8uP2w8lAVR8pFit1f0zf9YrkE2XFCB/gx/wD9b0yBHvgCvrkJ0e9FA9zX83LakqawKt/OO2foEOsPQNtJzr3Fm2HgbfQN1bJ4XiqbjtYiSF7i/OV8MjsSj8dDiF4B1hTaKo/gDUpCccFXCI0FiBW7oMcs+TnosSPkfA3TX0U6uhqHxkqzqQeGWYsxCw4atWZ22SsYYphEsiKYwDHBPLAsmwNlzdjdvva+UT6/xPTIJqwfX9jeY8+4+XEu6XcV3eddi9VTjrotmx0BqTjcHq4amcgNnx3i4+GXUJURzi3r/VRsdBIVEMmTUxOIbrXhn/0VgcXfyn25ToXGQtjxJvh9tB74hm0xl7I8v5EIi44Qiw6dysq4zDAkn5eBhip6xZ3Cw+k0/lCcJjh/BRry5Yqfk6HUIOkCWFWmwOOTiPMVEfPlJR3lwRoT0tlvIiSO+kV/k98VtYflWWFw13RAUkwki86TeGh1GUdqHIxLDeCWEZGY9fa/N7kB+eVcth1h+1sE2evR976UsakDiWg4TJ0Uyq0rbeytUCIIFi7IOo8b6tcSOOBqlIVrKexxI0cbvGQAkq0O6cgaxIqdcjPL2MF/ShhaZQ6Dn6jqiw3S8/4lA/n+UBU5la1M6h7O4KRgxN9Lf1OxB3a/J5c9954PyWNlwbYkIRWuh8L1cvoheSwKSz8qmrpa0ufX2Di3bxRPDHCQeuhJlAeOgnMS9DwP4gYjhqbLOilnU/s+rqG3sK41n4knm8YFxlHT5ODptes4oUUQogAmjZIdBbX4JIEstJyoBnOFJPFO9qs4vA7Uopq7U+fQyysQpMzGaB0CribZx+dE3x19EFHhYTw91cS+Kju9o830CZEwi+mQ+5UsdE6dQORHc4m01+NPmYhtyM0UtHVuyaBwdxbxAuDzYELBaMKocYokW/zc9Hl2++orRyQSYHawojaHFlFCf+E3ctl5WzWkTpTNJ38t/D4o2iSX4g+7WV625WUC9r3JRSPHsCofwmno3AfrOEzhtKqtRFpC6WUIJCtYAncroi4Ygjo35zSGJeHf8ybi9wtkOwGFGsnnwTv9TZj8PIIpDJs+Buf46QSZdEScEC0PBMaRSU2Lk5rdyxhjaSFkTi+yK1u5ZGg8lw9PoKzRQbPDQ2vJFqxeZ6dza/a8gyZqDgWtIiOad5MUmElcWAhXf7gbSYItin48tqqAFocciS5vcnDN50e5akQ8ZyQEEthUCpkzOCUkn3wNI3uzPGAuCz/t+H4D9SouH55IaUUltxhXEVK0FjK6Nhk+jT8WpwnOXwCpfDdC/DA48l1H005RCZF9kDQmDu51EWrS0K1pfefmfK5WhAOL5ZxwRI8/fqB1R+VI06535BfN0JshaRQEdFQLKdQ6BnZL5u0QE063B5NBR5Al8Bdn9X8LVOyGRWe2a2+0BT8QetEm9PkreIGL2VshP9glCd7f18LQCUOZULUXf8wgXtoocHm0nKNwxw7n9eJoGho0zFTU0b3xY9mC/y+ugksJM5ES9gdE+2pyYNHUjsanRRth4qMw+FqkwvUIn8zpSC3teIOY2e/TPyGLL/d2bmtwZlYE86MqUHw8DzzHCNDud/F5nChM0UgRfXHOehfl0dWIzSU40ybxVMNOtu35kt4h/Qg1diaRZp2KntGWdhFsWriR92eE8uaeYt7ZWoHPLzEx40zuHmQldut9ANiC4jnSLGsnHk6bx8QNryG2VsoHVGpgwiMw7BY58lOTg2RNQzrjKcyLZzHT62JmcDJkHwG1gcV9P2Rc9DgClW74ZE77uMSjK1GbQglOH9dpvPkqJX1OInBScBIqYygtzlDUrWU8eJJW+a2NhbxwfjyjVIMJsTfKGqTk8VB/RH7Z2upA3bma7ydRsgU+mNEh6jWEyB3P1z5Ob2Mjz46LRqMHSkvxp05BPLIcALc1g5yxiyhqEIjIKUTQmsmMTMCg+YnXiVKNOPxWWZC//1OIHoDQay6qsExIkt2iLcf+fgpWo4ajljRSN15JXP/5JMUN47KvcpjdP5bnVsl+RGdMPIWnlsZEUaMbhSWSTcZLyTSaKay3teuEytv87eTmOJodHmweiaJmidBRD6C3/ISeKSABMmdQk34Bz3zVOcLVaPcQYZC4yP08+n0/wuz3wZryM5/wNP4InCY4fzb8fjBHwJZXYMYbcodZUSHP+u0NiNtep2/ME5S2qjHaijr2U2rBEgX2OnDbaKoqJrvOS6VdIMpqoXukGaP2N5Ye/xIOLYUNx+ze7Q2w7HqY+W4ngnMcYaH/gf5ABes6CYsBVLUHabOksmZXS5fN9zeqmGT04vF7uaBfLBlbH0M672PUhWu4HqDXaDa3xpHf2kJSU/Hv2pD1b4WqAx3k5ji2vgFxQ6BwXWfdjCTBllcYdeb73DAmmbc3FuLyyg6xU7tbURT92EFuDFZc4f1QV+ymsbWJjaUiLapKPrTtIcAQQM7+p/FKXiINkVS22LsQHINGyV1nZHDRv7Zjc/n46gwfP+RX8+ZmG5kRZlLDTORWtbDUOpwbA+LAVkNAWG8mmA18W7ySrLamDnIDciQm9xv5M4RmQvoUBL8PSR+Ev99liBufkUW9opKSYU8QrtZgzn4bont3HCNhBCSORtNQQE+/grFRI1lTvg6z2kyNuwn/OW8jrHkAoWo/UtxQpFELUX51PUFjXkKt0LB4TB0+Qcn65hBe3N6Kzy/hcvuYFZiFYulVMOkxWHql/H0IIgy8CrqfA9H9fvr7ay6DxhLZxuHEiiVbLX6vm8KzllCrTyHN7EQ0A+HdEQUR36z38XmcrPT24cb3DrdHyi4YGEOD3c3Ebl37LbXDEiVrb/pedGo35V+AKArExiWzT3qZBG8Bic5sHhkRywFnR7humz2K1MAklI357ctK+y2kASMTwlS8ta2Bj3fm8tTMDrsPhSCgFIVOncGVooAogBsRv9p46mg7gFqHd8y9+Boa8fq7mgtKfh+ablNg2NUQmPibP/Np/P9xmuD82ag9jFC+U073NBXJDqKSH3a+DZKEPWEimyv91LW5cQ6fiv7wEhi1EEJS5dmZIOJTqHltRyOvbepQOd42IZUrRyT9fj4z9kY4SR8AyDqhjKk//aP/T8IpHrSWnM9oHHATQ6qVfNrQOa2SEWHBLYm43V6ClU4UQ69D+Gh2RxRu59sMOesVcoIzu5a6/jdBOHaPRfWXq0yKNkKfC2D57Qjh3btu7rYRWbKca3sN4YzULEQREpT1qIW6diO68v4LWSEN5qtCkX6hMMEZSFaQjyKiqXHUUNrWUZEyO2UehVUCPU8hkesZE8DX1w3D72xCs/sptrWdwx0T0zhU0cLO4gb6xwfSLSGCJWFfoxd9dPNlc6EqHFfUSHQtXV9StFZCSLrcgBMgczoSAophN+FLHI3fVofTGIu+bA/D15wNggJSxsrbmiLk8uM1DwAQuud97ut/KeePfJ40jxfz55fJ6Z/e85GG345fH4hYexgSRhKm8aJefiVhNln/0SOkOyEjHuGJrS5a7TqoL5bbL6y4o4NsSn7Y+qrsQWQIkasDT0ZdnhxdCusmp7VOgscv8M+8YJbsOYBJq+KmMYmckzgYszEchb2BCimEu5fnd0oDfrCtlOhAPVXNTsItv+Cz9GvIjdcl9+rSWjrpDWOC9ERYelPdkkFLWzODzAqM9XIa0i/Bw5ts6EY8y0jtUbT2SooNWXxTE8oFQZs4VDGMj3bIYu1Gm4cJmWF8n13NtwcquXpUEi/9kNd+nsuGJ7C9oJ5RKSkYjSdEQOvzoLVaTr0fm+RtrVXRy6zn2n5OHt3Q1L6pQa0gNshAg2YwIVFJ/9HNmf+T8V/wlvrPgt9jQ9zzASSPA2O4rF3Y9S95lhgQhzDiNi5xxtBqd/BtYz3nzf0C5f6PYP0T8g9+wJWIez8gUJzV6bjPrT7K+Mww0n6ha+/PwV5fgbutHskQSqDZJI+voaDzRobgf2sG9rdE4ig5MnZi3n7oDaibqrloYD82lzoobZTXTUgLoq++Gpc+nc0NRsZE2WHLBx3kBsDnQchbRXKvSLD8SU0u/wqEZ8FF30B9gdwvKqI7kuRHqNwNmWfJBEjyy/dJwijodylC9UE03y8k4/j9XntYJg5nvYQ962KeaRjCkkNy1OxAOXybn8u/zu/Bt0XLeWjQfSS6HAQ0V6LXBaIK60Wp/6dfpDFBemhqgKpDjOhzJQ+tKaWoXk43zhkQy4KlB9sN6aIDdLw7QM/d5UcQe82FXe91OpaUegbCnmPLdIFI6VMo8VpoKa0HIQ5rRA+i/FVoLVYOz9mKUvKQoGpEjBsqV3jtPEF3odQSWLCO/knjYePTHaXQu95B2PUOitF3w8534Jy3Ue15X37JH4O69iCj07LxTzqD51fnoezXjQv0LXI05mS01cgRmlMRnPw1sm7KXge958n/fwKqggfx+Q/yxKnZ4eGB5YeJP78bo1NHQuE6WspqaHF01ZfZ3D5cXl+X5ThbobkEFBoISgBRQVtrC35XGxismHUnvPi9bqjYBeW75aheTS4MvEL25Tl+CRUiUYF6cqqK0cZk0NPo55W5fbj3q0PUtrn4ukRJrwmTaCzbBS4X1/Ex6oChGM2trDgvmLs3+3nk2xwWTk5nUvdwbC4vKSFGhiQGkF9rx+sHm9PFzeNTiTIdez02FFFS10ROWT1+v0Sach2J0VGQPIblB6rpN0TNlEQFwRoTHx8VSbbA7N7hCKKCEJ1wmtz8hThNcP5kiNZUpPhhCHmrZXFgzAAYdbc869IFovviQkaZI3FNfwNluBLF/u87Zo/2Blj7GMLY+5hlbuKxE47r80unLNn+VZAknId/QL/iBvTNZXhCu1M/7hkCh92M+Mn2jmiEKUJOpf2HOCz/IiJ6wsXfwsElcnSs57mgD8bw3V1kxA5icTcrhaZ+qE3BJAvl6IPj2d1qJC1c5KBdJMtlpwvV87pQeNr+qx9qfoUW4ehqhE3Pty8TIvvApCdh26uy3UHFbrm544HF8MMD0Ot8SJ0E6x7veHHX5sLaJzg44DmWvnug0zmqW1wcqXdzTuR19PFlo/zmelns23se0vqnSFSbaM2YDVF9MRk7fH0cHi9HqtqwOxUMSpuIyu9oJzexQXqK6myd3HbLmlysbEvg2uqDsP1NPFNeRLXhcTnNlnUuUvoUebbuboPgFMr1GWwq9VJjcxNpVtNNtNOqtPDukQSW7NlHgF7FLeNTGDvxVYKcxSh2yA68rpH/wK8NQlGxE6G5AlXMQCjb2fnCeuxyKXZrBULlvi7XPaLtEENNcRQk69lUo+aCkDoISuw6CTFHgberqFu+sMcEy/YGuefU4Gvl+19jwjniH9y3VQt0Ttvm1joYHd8GopLwlv0kh0wmr7ZDeKxSCMQH64k4OXpTnQMr74KCtbKeadQC/FH9Max7HKGpGKnbDJwZs9BG95BT9wcWy2lwv09+xgy7RY5Qnf0WWE9tpqlSiJzRI4JukWaK6+0ktmwlqrkcVl8BgOOC5Wj2v4f+4DVYlTo+G3Ij/4obyiPf5jKtVyRj061kRJmx6NQMToYmuwsRMOuPdfluqcXdWktk62EigzU0m9OY+hG8OdpJt4A8bh4azKv7W1l71M1jo428FOtHpTPTUltCXO0eSL711N/DafwpOE1w/mxozfjGPoBi26syyZH8crjYbUdq2IlwxhPgtqF5cwTM+VR++JwMez3Gk1o5RVq0/7ZbsKvqMNovzm/XQqhqDhL47ZXUn/cNIed/IesMlBoI6w5x/0UW44IAUX3lv+Oo3C+bLm55hXCfm07erKMW0D9qAK/nmHl/XxPfnnUVAVFZckRD8ssvQZQozKdoPPnfhOZihO2vd15WsVvWWNTnw/f/gCnPwvJbOiJcq+6FsffJYvqhN4FKK1dcWdOpdytRCALekxyl3T4JraMOhdAGY++VI5hfXIogSSgA074PaZnzNaTKQlWvz8/nO8u456tDhJu1fDB1OGZfR1QhMkBLUX3XHlgHGlQyeS/bTs2g+4iY/ByS14mvuQKxvpCS4FFUSWbCNBLv7a5l0eai9n3vmZJOVbOTT3bKkZSaVhd3LTnIm/P64HPHMihzPmZsCLW56LI/P3bCj5ASRiBkToPsrzoGojbKL/fNLyKlTkI43tfrGMTAWJJWzufm1HPY2/16qNgnk8llN8qkUaGG4bfL5CVm4Km/u+SxsPvdY+P4XK5qOuMpiB+Bu7GKGzPymJ5g4Pk9fooa5OhluEkjp8HCexC84naeHzyG27bqya2xE2LUcN/kZFJCm/mqYCtRXj89fCIGUYVor5c1WSCnnVbfjzj2PijaAICw6QU0jkZ89SNQBCfCdws6SvIlSe5QP+I2OTX0EwTnOGKDDYQbBNoqYsDfABozju5z0BSsQtz/qbyRuw3l2ke4YNpbfBAYzEUDIkgJ0WI8IYoUcJzYHIOvNhv15xe2l+IHhWSwcu7LPLHVyUOR1RxujeDFdXL6dMqHcqpwarqdp71PoRh0+c+O+TT+ePwqgtPQ0MD999/Pxo0beffdd3nllVd44IEHCA//L3+Q/0FQxvTDaXgA9eDr8ItacDXjMUShyJyB1FSGOm8FQngWFK2DwIROoWoA9EEoHfVMzkji25wG+sZauP+sHv92nyFfQ2GH0PMYxKYifI2lkDFKrpz6X0FQgvyyE5Vd+lMhKmnQxfHR/iLeH1pPwNKbYMZrsO0NKN4ov6BG3QWmqL9k6H8WBMnf5X6RVyhkEWl9gRwdODF9B7D7PVwz3kKz9FJolatOBFMk5imrmdUvmo+3d+hsUkIN9AgRSS9YIVcORvWVz3kiCZL86HO/wBGShs5Vi8/RwhlhWlIu7snqI40sq1IzOiWYaT0FvtpXRXZFC9eOTmZHUWOnYQ1Pj4BtzbRmXYKoD0L8aCZ4jkXnFCqss5fydamPXtFm3ttS1GnfkgYHBytaiA7UUdYoXxNBkLulf7W3nLOTzuKCNDB/Mq3zpSpcjzTpcYTsr+Q0af/L5EiH1kJz6CDElOkYG/IQcpbJ92Kv86H6EPi9WHI/pX+/ebD/KBz8XCaMpnD5vnW1yWQg+CdErfHDZUKz6h7weyB1snxtS7diXnoFvZ3N9FZq6DvkES7bk4hGraZ/iB+2vQZnPAEz36X793fzcVwq1YPGYAwNQV/+KbdU7ufi8GEMWvtCh1A7JB2G3AgnRPpoq5J1Ncd0Q8K+j1HorbDqHzD0BvjhoY5t/cc8kX6l75daqycoNhNn7VE001/BpwxE/O7GLttpK7bx3oULiQuXU221rU425dXzQ241WdEB9I4RyG9Zx/CIQYTveKOTz5BQm4OuchtOcSheYwD5RW1djr+uyEHD9JuIiP5p88/T+HPwqwjOww8/TE5ODg6Hg5aWFvbu3cvdd9/N22+fruv/d6ENigFiOC4Jbv8irHF4TJcgJoxCXHE7Qta5slOu91hYPbQbBCYgLr+VZ8c8wF3D+hMYFofJ+O/3elKcqrO3So9CF/BvH/M/FhoTJIxEGnAlwqbnOpabIvCHpFPoMnJdLwVJG26G7mfL6cPijfI27jY5ehEYDyoDJAyXW0D8J0KS8NXmIdiqwGNDDE5p90HyWxIQk8fJEcjj0JiRgpIQEGHwDbLr80nwasy46kvQtJ5QUttaQbL3COf2SmNgiIf1RXZ6BPkZpc0nrjIbYf2T8naGYDmCcxKcLhfNTj9Red+jOfQFGiCo/xVEJKVR5fKxeEchlwxLZnhqKDkVraSFG5nRO4pl+yoQBYGz+0SRU9nKkalLsbt8hDUXdvZ98XnQ7HmbI55riQzQdeJXM7ICGNOjGof5R9IEHSOjxlHUXInD10qGtY4Wm4EnN9UwOd7UuXv4MTSbUqg7+zt0egNWlRuntQ+rUtJ4ZUsdic0uXkvohSpzupxWOvxtR6d2AEcTDLwSqWQrVOxByJwBkX1kkz+PUy4SONHwz+OCsu2w/zPZ7fj8z+VUliVaFlJ/fS04m499US5iNt7Je+d9h6Q0EL6on1yO7mqT+6FlTiewtZLA4o9g9ffsGv8PGt2t9Crd27kKrTZXdgs/sfWCLqhzlZ3GBB6bTHz0QZA1B/YfK25Q6WVBb+hvcHBXqtFGdAONGY3HiRScjFCf32kTKTCeuNAA+bJ4/byxvpA3N8hpvq/3VZJo1TJ6UCsjg1sQTtIoAYh1R5ndbzYqs4EYi6vL+t7RZiyRERBwihYPp/Gn4lcRnE2bNnHXXXexcOFCzGYzd999N/fdd98fPbb/Wag0agiMkTUhPzwkl5PXHZEfBrY6ucVDSCbayCxiI9P/35oYTUQmrkE3oNn6YvuyptGPoA37+bDwfy1C03GnT0MTFA95P8hizZgBHHYG0uZuJdPQJj+kE0fL6YGT0VAAax6Sozs9/oZ9uH4F/CXbURStk20CvC6wRCNN/ydCwggUwbH4R94BgQkIud8ghWbC0BsQLNFQvhPW3As9Zndx2S3veTPWghVdzhW29RECRt1Lr7XnMD0oEcqr5JLzppKOjcp3w/gHIW9NxzJBID9iKrV1LqLWPd4uFheXXY9q8rvcsymI6ZkWFH4PL6w+yvwh8RTW2TlS3cqVI5OQJInVOdUcqW5jYGIvrv94L49Oy2CuPlh2O44bAj1mo/Y4eNlYzGFDKEaNkjaXF5VC4Mx+zVy34U4AZqXO4q3cp8ltyG0f3tNDHmZMoBGDCnzRA1GUbWtf5wnOYL87gvmfFqFRNvHtDcPIVkZy27I9AFQ0OSiNNpOY/wOUbpM9qY7DFI5WI5vl+fteQoE/jNIGO1EtCpIa9yHWH0VsKkIKiMVrTUMVEINUtBHhs3kdx9j1Nsz7Wo70NJfJz5VON4CPsLKVcq81QYTht8kVlLpA/FF9kVx2SB6PImYIPmMgCcZILAWdU2oANBWDKQxcLUgJIxE8zs6Rvf6Xy8JqgOZycDXLabfNL8n/jfk3TDNdDijZiGrlApj2iuy6fCxiJAUn44seiCiKFNS2UVDbxr82FXbavaDOyXQhgxfzvuSh1EmIJ5Ecf+xg4kxK8DjJChaZ3j2ILw/K3kvBBjW3jY5GH/o3Nzn9H8GvIjharZbaWjlN4vP52Lt3L1ar9Q8d2P881AZZBDtqoZyDPvA51B1zyhQVcjg3rNvvI/jVGFGNvB178kR8zRVIlnjUEd3Q6/57hbK/BI85nu3lTuKTQpF8Lg5UGFmwsY3HpscTEx0jzy5ttbJ5V8Wezjvrg+Xw/+r75DLhoPi/5DP8GoiiCI2l+B31eLUh7GnSkKJpJKgxH358pGPD5jJYcSfMWwqmcMSYgUiRffEPvhY0AYiGY9GCwdfAgCuhIR/bzI9ozNuO2tVEaWB/Htiu5emskaTmfNp5EPHDaW2oRuNzy7N+kGf8uhMiEJIf9n+KZ/ob+A8uxSeoKIg7lzu3a7h3ilK+3gAaC/ahtyOZonhxjISudivmIvhuVm9WNakx6pRkV7ZwqKLD56h/fCC7ipsAeHltIRP730hw7vsQNwy+uQkBEID0XufzxnkLuPProwxLCeDD/I4JQag+tBO5AXh8z/N8ZupLyOo3YdRCvDGDUBasoSlyGC3p5/LZtiZeGacFBPxeV6f0l8vr59vWFC63r0PTe55cil+6HX/MAKSB13LU0IeUMBNf7S3nni83EWRQ8/ysbnxfr8HeFEqKWkHm2kdRpk3A1+1sFMdJxHH4PJD7tWzgaQyXhdQnEkpBxB83HHFisBy9aSgAtR5pxW2ITSVyZCY4GUIzSVTrGGnthySEdxFHt8VPIN96JnEhZgJis/A3FSMYrAitxyI2R1eCrRbvgKvxp5yBFDcCv70R3Tlvw+L5cO6H8mTvt6BiB3x9nZziWnEXTH0RHA34VUa8IRmoo3pS1mjn2g93M6tfNL6TtF8AkiTwddEy7hn1NpqmEoScr0ChwT/oWpyhPQkLDYSjqwkp287TPdO5Y3Aa+a0i8UE6YmJPk5u/C34VwTn33HN59tlnAZg3bx4+n48bbzzFzPU0fl+E9wCFHuw1YE2FlmNOsEGJMvlR/n7pD1FnRp887Hc73n86jJZAgmIzueTTvRytltCpXFwyLIHXNxQSPDaG/me+gGLN/ceM1q7qSGvEDZPJKcjf18mGeH8zpGobKKloYrcjhG3FdYSYtPRMaer8sjsGoSZb/kwmWXsnKJQIQQldD6pQgNaMevWDvK25iWXZjdS1uQEni6zRPDD2QZQbnpRfQP0uhZZy/BGj5PYjx7U9xZuRzn5L9tXxuuTmjM1lFEgR3NF0HX4JDh5s5tx+VlI0TbI4NX44Bwc8zpMbG7iMNkZsvqgj7aLUEDf6fZ7bY+GR6d15auVhGu0eesVYuGRYAtd+uBsAj8+PMm0cUnI/BFcL9Dwf9n8EkoSw90PCM65mUvdwescZ+bi4o9rIewrfo0ZnI66wYyRt7aMoksfTcM5nLDvqQl1Wx6OqdzBvkiskPYoFhJrGdtr/6W02YqYvJMRdiiG5J63Jt/HeQTcLFeGk23bQelTJviMiNrePJ2emc983hzlY0YpWJeL1qXnjjGcYs/5cFJnTZQKoDwZjGNQflQmOswWpej/CjreQBl+LULlfvl8jskAjpwNt4f3RSw7cEX3QvD8F4bgx5v5P5a7lpduxdj+Hs9RWBM9RuVLuyHfyJKznXBpNqUxbUssHF/dimCUc0RIpa36aSmDvB2CrwzN3CYrK3SiXXCynsHrNxRUQgwYFfgkKy6qoaGzDoFERYjESE9Y5pe7zSyhObEHSWNxR+dlcAp9fDIA493PUUT2hqQRnbRv/7HaI0OaVZGdN4/N9HTrHMLMat0KO6vRfeynrpyzFOPAaJEFuV2M0BMhRoa+ugbZqlEBkSDqRqRNB2ROI7/qbOI2/BL+K4FxzzTVERkaydu1avF4vw4cPZ/bs2b/LAHw+H4899hgHDx7E7XZz/fXXM3r06N/l2P8VCEkCuvaAOo0/HoF6Nb1jLEzsFo7PJ/HV3nLKGh0Ulgk06+LoM+VtAkQ7ijmfIjQWIqh0IKhg8UXyAdLPhMBfaZv/V6Aqh6O+cDY1wcHyZkJNWrx+iWZFAFpDV3t6KSAOQXcKvdapYApHlT6Jyyp+IKjHYL44oiQtWMXsIckoE0ZCj7NlwbDkgy+vQZv9GTVTFhG8/m4UDUfxzXgTsfoQ7P1IFuGOuB10gYTmfsJt3c+izGMkeER3wsweKhrXEaJQU9n/Li5ZWoUEpIdv6iA3AF4XacUf0Wy/lFd/zOf2iWkkWg2szqnm2g9345fkYOhXMwOwVGyAjc/L2pT44XDm8/DNzaA2sLHCz5sbStBsEXn2gnPZW7cfALVCjVJQ4pU6iM7UqJGEHenQKbVIOraUe/nxcB3RZgXdYmaQVfoD2BtQrXuUi86bzffZNXh8ckTBoFbQhp4bv/UCXsDGPUMNRK2/EwrXYAIWRg3i3AueYHebB53o5YvJEhH2bBxqK/s8FhozLiCwuQSG3CCbijaXQeY0WbAcmoHQWAgVuxHKdiCNvBPJ1oD4w8MAiKIC7TmLWKsYQFrt90Se5PrN4eWywBkJRUulLESOHw4j75AjbkdXoUhykBVlJjUyoGM/pRoMIdiTp+BOPw9d/neofpTPSVMJVO1HPfkZWi/8noI2NZd/eJCaY6X9F/YLYd4gWfxvK8tGU7kNseYQ3sg+tEUMISA8HgyhXe9HrUXWJG1/C7K/JDYgEfXeRQDc3M9IxoiRLCuU6BVjYnCqnyf3P06CKY6bMuahdbWhijuhKs3nke/LE40Sj+uN3D9Rnn8afwl+luBUVHT0jhkwYAADBnQYLlVWVhIZ+f/vtv3VV1/h9Xr55JNPqK6uZsWKrjn60ziNvwImjZLDVa18trO80/JQpYPeulZmLw/CoNZwzeBQhrvy0Cm8CGsfkmevqZPlvj6nEMb+JfA45BYL9XnyCyAiC6fXy8pCL8+s6tAYxAfr0aqiuC45E7HvxbIpH8hRqTOe6NJI8WeROY0o8w6uL9/G/DP7og2NRRN8rPLyxEascz7B3FiATmmmdtaXqCU3gflLETY+c2yDZrmEeNqrBOZ+xPCcD5EC4/kw8FJuXf8mIVorz0x/HkerSE2ri6QQI1pnV5dera2CIJ3IvnIHC5ceZOlkiUlxCZQ0hFHe5OCOIRYi7Hth5cKOcuWiDTIJSxkPTaUUN8v6EZfXz/KdwTw75HG+KFyGWYjjkb6fUeUsYVvdl0QbArnIq0ZVLkeG0AWyIuoG7vr0YPt4vlApWTL2cTLWXgFh3ekpFvD5WVp21GtRaXT0ig/hqR86ImlmrZLx6gOoCjt0SJryrcRWr+Jo0Bye7l5K3A83yCtEJfGj7kaIy8Kv1CF8eztCU7G8Lvcb2WMmb7WcZtKYwdGIsOVlhH6XdFwwvw/FyjvRjPkcpe4UlUy6Y4JmSQKjteN6HSsDJ24I6IJ56dwoQk1abC4vzfU1VLW48Kl0VLdG0C3AQ8DuNzsfV/LLxCtmFE+vLmwnNwCLdtYyMiWIfmFa9Ktvaxe6i4C551xaxz2OKTQdhlwv63g0ZlmbNeERucrv21thxO2oNzzTfsyonY8zeYiBgAFT+Wp/LQalnn+NeBmTp4UAlR4h/KS+f81lULm36/VoKoFuZ3ddfhp/GX6W4IwZMwbhZzQeOTk5/+8BbNy4kdTUVK644gokSeKee+75fx/zNDqjvNFBcYMNo0ZJUqgRg/onvva2GvkFKCrllNj/YhXVCTDpVPxjUjLzF+3D4ZFfeOOSDPRo/I6gmAl8eNkA6lpdNNrdbPFOwaAW6T07C43PIZf3G/8+OjXP/iWoll3T/m8pbQr1wx7ltXWddSNF9XYkCb6sj2Zq74tQpkwAVytSUCLiz/U3OhU0JkgaA0ljfraRIjoL+GJQ1WQT3pAPYT06+8McR/Em+bo2FiIMu5Uh8QOZ57OxrXonq9paGKeTPUwK6too7TeWbtkfdt49aQ5bf5TLei8cHIszMowmh4ebRgYT7y9A76sDpxEGXCFXwR3T/VC8WX5Bai0MUgbx9lZ54vftwSZq2kzcPGEBCz7Pp6RBJorn9buEK02HCHUekqvofB7qe17FS9s7pysdHh87lb1IT5qId9DVqMu309PnpmfDXijejD/wKS5IiWXjsSKg2GA9oTWbulwWY9Eq0hNnErfm4Y6Fg69DsWcRNBbJ1gXHyc1xbH1V7lulMXU0+xRVXVuMtJRTWVvLPkcQV0T0QVG5u2PdgCvBHAkbn5OJ0qgFsijd55Er7obfSqTaCaGBHKpopqaxgV2lLZyXoaDNU4XNp6G4xUKMJgglnR2ZvcZw3AoD20s7l2H3iwvEgYZNlT6io84jtbkGDV7cU55HaKtCXb6NNmM0tm5XokyYitiQj18XjD0wg5j8z7tcOwB35EBeqO3NJz9kMytTzyzNfmK/eg+/PgT/gCsRrBmIyhOemfk/yOStqrM5JUlj5PTeMXzwwQdccMEFpzwnwOHDh2lpaaF///4/uc1p/P/wswRn3rx5CIJAWVkZW7ZsYfz48QB8//33TJs27ed2PSUWL17MokWLOi0LDAxEo9Hw+uuvs2PHDhYsWMCHH354yv1/D0L1R8HpdP4tx9eiCOC6z2Qbc4C5/aM4v2cg4omlsECk2oZ55Q0INYcA8CWPp3HwP6h1a7oc88/GX3ltgzUavj43mKKqeoyih7S6LwioO0SNeD4N5UWIgFUQkJDADQVuBWCEtlqg9heO/ucgQCsRsWpBp2XC4eVYel2C0+vvsr1aKbIxrx5BCCErKBC3ZIc2IDe3y7a/B/RqBbGePIQll4Ek0TblNfSWGMST3XwDYmTBqyDAtleJD4jlHOtszo2ezT831mNPhHk9zby/r4Unc4J4YNRLxO9/Dnxu3AOuZUVTJrFBLm4el4pSIXDb5wcpb3KgUggsGGrh3Po3MfQ6Ry6lttfLQvLht8Dh7+TyaFcbqfU7uGVcD97aVITL42d29yA+3FhFyQl9yz7ZWcHYqUn0jwlDH9YbTGHsbIlEEEo5GXaPgCcwHvVHZ4Pkx5k0ib0ZC/D1DmKgfQPDC1/gnTOu5/18LeF6IGoo5HeOcleFjaKlpVU2+AM5gqhUy+QGOnsHHYfkwx3Wk2x3GNHpF2AtXEbFlPdwNZQSljARfeFKAJyxI1lTJrDiSCsJZz5J7575BHprUQQlIGqMCGsfkzU99UeRjGEI87+WCZM+BAmBYm8QtoIyFKKHxCA1YRYnPkcjIR4ner2E0hJHYZ/bSVk5v2OcxjB8kQNo8ysZHGdkbb4sCO8VE0B6hJlrP5bTgoKg58kJzzAj3oN62TXy5AxQJ41Dk3Ueqi8vbz+mKWMGFcMfIrD3pXgOfE3hJQU02DxoVCJBehXfvL4Fs07JDZG5xGy4S76MAIU/4pnzOYe9ciPROIuAfuNzkHEmpJ0h640EBVK/S2gL6UvZ4Y5o6EsvvUTfvieYiJ6Ejz/+mMDAQIxG409u81fg7/ouy8j4DXYBxyBI0qnu/s644IILmD59OjNnyiWvixcvZsmSJXz88SmaMf5G3HzzzUyaNImJEycCMHToUDZt6jpL2bVr18/eLH81cnJy/q0v4I+EzeXlsvd2sCW/odPyRRf3Z2TaCXlqSYLV93c25AKY9ir0Pv8PH+cv4S+/to4mKNsBpTvkmWnsoFP3+fkbwu31sX/3Vvp9O7nLOt8ZT3FH8QC+2N2RgjNqlLx9YT90apGs6MAu+/whqMpG+nw+Dk0o61IW8NxuL88O9dN9dYe7NsZQ+X78+LyOKMM5b7eX4dsaqylpcGJSeMhrcFPe6icuxESmyYHO00SzGIhNNPLZgQYqWzzk1djIruzcMX7LBUYivrtMjmQeh6hAmv2BXN68/gloKMB3yUpqWt343E5U5nAmvVdCo72zPmXB+ASuPHoFVB2g+qJtzP28iik9I3hxTUdTR4NawUfnxtJzcWd38Oq+t3He4WE8ODWTtuY6rPYCUvWtWNoKZfPJ0m1QsgUAV0R/Coc9zXu5EnfyLywHFsli7f6XySkakJty7vpXBwECXH2v4Lams1l2qIGrh4TTPyGYu77Oo6bVxbhkE08MdBHYeoQmQzzvlQQj6IJQKgRMWhXBBjUhJjVZvmyaayvQVmxDG5GGprkAtp3gcB0YD5etobm5HJXHSZ1WT3hNLur1T8tGj+lTcEX3pzRoAA1lJcTYDuBWmVHFDeD2H51cMjyJEI2HaxfnUtro4pbxqTy7qnPJtk6l4NsZShK+Pqdj4YAr4NCSLqXv+8e+z2pHGqPTgnludT7rj9ahUghcNCSeid3DWLo5h0fqbpDduE+Af+QCxNEy6aGpGN6fIW8TP0yO5Eh+Cu0mFnywFaVSiUKhYNCgQbzyyivMnDmT2267jbvvvpvW1lYaGxuZNWsWY8eOZc6cOahUKp566iluuukmVqxYgUaj4emnnyYxMZFRo0Zx0003IUkSHo+HBx54gLS0NE6FhoYGbrvtNtxuNwkJCWzdupVVq1Zx5plnEh8fj1qt5v777+f222+nra2tvVBo8ODBjBkzptO5tVot/fv357XXXkMURWprazn33HM5//y//l3wW/GrRMY5OTlMmDCh/d8tLS0cPXr0Z/b49ejbty/r1q1j4sSJ5ObmEhER8bsc9++OooYGyptsBBk0ZISFyg9yUfW7duludnjYfaz8FeR2DreMjiFI5cHt9qBWH6vC8tjlfPxJ8BRtpSpuOjFBhi7r/qegC5A1GCnj/+qR/Ga4vH7WVKjoGzsIoWRrxwqFGoXHzvy+oURYdKw4WEVKqIELh8TTI0SF3vTvN239zfA5EOrz2DX6Ca7+ViYd879X8/iwjxiiL8Oo8MmmdIsv7CA3GpP8Aj0GQ2AYGcf4WHTHYl5bl4/Y4uYy648sdg/i9Q3lXDcmma/3nWBIdwySx9mZ3AD4fQjuVtmHpjYX97xvUK28m4iSzRCchGvsQwyNMfHN4c4EJ9nkaU9hhPqqOLNnBLtLmnjs7O78kFNNjFFiRlQr3fNe6zKOsLIVdA8Zzb7yFlblNFJSr+GTqQHoNY2Ikgdx+K347S00KALZYQvjuZV1HK1pI3nY2UzrZST46Gf4A+IQAW9gMoWKZIKnvIU5fxnK6v2Uxk1ncWsWyw7JhOfNrdUotMZ2rcu0BD/mnS9SmnYR9Yp4BqUHcePiQ1S3yOtn94vm0u4iar2aH5VDeDkvlPeDSkg4kdwANBXjdrahsjcgiHqsrdWol17ZoW/a+yEaJMIDk9kgprFTnUhGpJnXfihiZ3ET/5iqw6LS8a+53ahqaqPZ19Wp3eHx0WQ/KQqpNXf19QFU7iaW7Cmn1eVl/VF5vccn8eaGQlLCTIxIC8XbZOjyUmxTmKg+fJAUbTOE95KNLL+5US7dL9oIWgubtRfRLSOduxbezc6dOwkODuaDDz7g/vvv59ChQ0yZMoUJEyZQXV3NvHnzmDt3LjNmzMBqtZKVderGvPv378dkMvHMM8+Ql5dHW1tX1+TjeO211xg7diznn38+mzZtag8S2O12rrnmGjIzM3niiScYMmQIF154IdXV1cyZM4fVq7s+94+jurqaL7/8Er/fz9SpU5k0aRLBwb+yyOBvgl/1Nu3bty9PPPEEa9asaffB+b0qnWbPns19993H7NmzkSSJBx544Hc57t8ZG/PL2XWwiJHmKnRSE9X1KVRLgUQ27sQa3wN+q9bhJxCoVzM0KZgfDtdy+ZBo0kN1PL6mhBaHh4v6hzC/VyBRZhUExNA47D5KJSsKQSK0LZcjhgwcCj2tpRVUNQXTP/E3mm2dxt8CJq0Ka7AVV4970W56CgrXymme/pfi93pZuq+Ka8ZkcF7fcPRKCAr4C0TRumCk7jNZUaYBZLO+BpubK1ZC39hEPg56C/WASyAgHmoOyTYJEx+VrRJ+AWf1jKStuAa/18g3h+RoUEWTg6QQA/m1sqPuNf1MjAuuxYobxvwDtrzSYVAoCEgoaIkdQ9XUIZi1cQRpg9AAdDsbv8fNdSn1HKw1t/dumtfLQlaIEu95nyL6XEjGcKb1CKVbmIGBlkZmhvlRtlUjbH8TortGpRtD+pNb4qF7vIhaoeCV0SJp387usCJQalCMvZeQNVfT/6wPKWmQSd+DG228HzyOM5POYIAmjORpn7K5KZA7v6/H63eSET6DuyfdwTWfHqDF0eEm7PVLHK+yjg7UMdCzg619n+Xz7DaW7y/GrKtg/uA41h+pY3dJI5/tLGN6RjppsT0YqGvjWa+fciGCBEHonA7LmIZP8tKgTsB69BNUpuAOcnMc2V+h6T6LUUFFxLjrGLwkiGa7h8dm9CApxIhaKSJJJoxmJw1tbrQqEaeng9BEWLRE6jun27E3IcUORjgW5QJAVFAhRtIrJoAfc08ischVhNeMTKLJfwvWby7qWKG1sMWbwb2fV/BZ/6PE1R4Ga4YcPTzynSzYTx7DzM1v8Ka/H5dddhkmk4mbb765/RBWq5VFixbx/fffYzQa8Xp/viny8aTKiBEjKCoq4pprrkGpVHL11Vf/5D75+fnMmDEDgH79Or8/EhIS2reZOnUqAGFhYRiNRhoaOkf3T0zo9O7dG7Va9kJLSUmhpKTkv5PgPPzwwzz44IPs2LEDQRCYNGkSd9999+8yALVazWOPPfbLG/6XoLC+nq37i7iy9RVMe5a3LzdOeYUXqjO4seg5DOPvhrDM//e5dGoFt09KZ0J6ANEmJRd80JFXfX1LNSa1yHW1D5I74mXqfDFomgsIDzDydVsGD30lz3C7RZq4e4qZxjYngcZ/r9fVafx12F/ahFat4I0CK1cMvR1N5jSE5jJ8EuzW9KdfgpXQAB2g++sGGRSPr/+VhOzp+uAPN6lQJI3A73Egnv2mbK6oD5L7HJ2qDUZ9HrRUytHQ4CQiA0JodoSiqMynR7iODXmwfH8ld52RznOrjnB1bw0XVz2M9uAxl2G1UW7s+d2dgABDrkfY9BwtibP5RhrH1z/kkxxyI5fPvJ9BjcvY1xZApLeIzzIPUKzLRKfwY7Do8FTnoNzxKGTOQKraixBzNsM11ei2fyB3EY/qg9T/UoSWcrlZa5WsK/GbotltnU7FfhcWnYqrRyaSefiZzu0jvC45XRqUhHX93VyQ9Rxv724CoLDewUv1Dm62hHNQkcyzq4/g9csvrZyqNjYVtqBRKJDLzmVMygxhV7FM6FKtWmwhPVmR5+TrfRWcmWZibJSPSns1Z2ZFsbtE3q7GJV/7hBAjz8zuybPfHSRq9KskbL8P2mqQ0iYjjPkHgsqA1luF6Go5dQWeIRSXykS5wobSMpSnZ6qIDNCRYDWgVMiNbARBINyiI8ys5ZW5fVi49ADVLS7ig/U8MS0Nq3RQThcVyS1TpMheCMftGUq2gDkS/7Bb2FJqpLjeTmqYqb3D/HEkhRhQ+ByYLIG4zl2MLWcVLk0Q2YYB3Pajh1aXlxxFGnGrLpZJsCRBYCI0FsAH57BGOZm+o4dw3S138M033/DWW2+1k4V33nmHXr16MXfuXLZu3cq6devaP5ffL5M1tVpNTU0N0dHR5ObmkpSUxLZt2wgNDeWdd95hz549PPvss7z//vtdryGQmprKnj17yMjIYO/evZ3WiaJ8HZOSkti5cyeZmZlUV1fT0tJCQEBAl3P37t1bvl9ycvD5fLjdbvLy8oiL+89Iy5+IX0VwQkNDefnll//osfxPoLLFzoiAWkz7lndablhzN2Hd36cg8Cx6VB/6dQTHXo9UnYPfbUMRkio3ijwJSSEGdHZYdqSly7pP9jcx97xHSPUVkLblLoRqWWB8Xtw4GH4DK8tUlDU4+HpvNeq+Iv1OE5z/KByuauGHwzU4PT4OlDXj8gVxbs8zUIY52FWnJDzAQIq34ZcP9AehoLaNH3JrqLe3MSxNy8hugby9u4U2l/zyVSkELk5sQbH8ZjCE4D/7bcSfa/xaugP2fQwHFstpioFXUxt7BoYfFiIUfMe00a/zuSmImlYPz68+yuXDErggcC/aPR0tFNAY8TUU0Th7GTqFhGH7C7iURl6o7cPnB4sAKK63s62wkY/Pn0ZDWSl3747l7gFJGH0NHPYE8Ox3Hj7s3yjrNDY8jXvy8+DzoFuzQG65AtBcilB1QH5ZhvfAPfRWGrxq9tpDWF2h5oaxRh5bkUt8sJ4vQk8hVnc0gtaMULqNiycaGGNtxOhvpkKIYLctmMExepqcPnRqBZLL105y3tlUyOsX9OWL3WXkVrVyZqLIGZHNPHZAFroeqLJTo0ti7eEi3pxkZPjRx9Fs2gQGK/UjH2N5dBi7ytrQq2Dt3sNEB2gYlhBJ9Hn9qW5xYpw7hECVB5vGQp2jhsq2cszNhSiTx2Au34EUkoFQe2yiJQj4Ry3k9tw3mG3tQ1SYiZi0n9ZZCoLA2IwwvowwU17fQpQRIhSteNS9kMY+iGSrRVDpUdTmyC7iyePkbuT2BsQfHiKj73u8tcPGreOT2VXcSL1N9tPpFWOhR5SFkNe6g8dG2chnmVcwmSa7h0a7s/38PkmQHbZttbDjLeh3iXyvxQyme9+ruf2xl3jplVcRRZEFCxZQVlbGbbfdxsyZM7n//vtZtmwZAQEBKBQK3G433bt358knnyQpKYnLLruMK664gqioKMxmOT2cnp7OzTffzKJFixBFkWuvvfYnr83ll1/OHXfcwYoVKwgNDUWp7Ppqv/LKK1m4cCErV67E6XTy4IMPolQqT3luAK/Xy+WXX05TUxNXX301QUH/eVH8X0Vwrrvuui7LBEHgpZde+t0H9N+OIL0GJFvXFc4mrBovDkkhO8H+Epor8H1zE4qjK+Wux7pAXHO+QBPb+QFR3+ZGK7oJMXU9ZpxFgX7XG4hqhWz8dQyG4tXMTxnFpQ1rqA3vQW7IRLYXaAnQuNhfCSmhRjIjLZ3dQ0/jb4XDVa18tjWPS9I8qG2VSElRvHvEzax/HWT59cOZGiNXx+XkdPWL+TNQ1ezgqg92UVBr486zJa5adxfpgZk8dd791FZ78fr89FUWkrX1VnkHWy3CusfwWGJRWU/hnuy24877EfXOYw2AXS2w6h4CZ8aiLPgOgLQNN/D5gHvJVXejVh2LWxJQtR0TWAsCDLsVnE0oKndjVevlMvHAeMozp7BkcecJQpvLS26jRJ/kFC41eFmSX0+ALpDIAB1jkhqIdHaIiRscEiZVRQe5aV9RAB4HPkcjj+cEM6ZXGksPlnK4qoHPd8ll0wfKm2kacjbW7CWd900YAeseh+TxRFasIXr9gwD0VKjImvkNRZKAHwUzekVh0atwuv18s7+CVqeX7UUNhJo0XD84mJT8dxG+e5Fbpy6nd3wqHp8fnd7IOd0DGZZ/P5qyYwUftjqCV1zBrWMWs7dbGh9sr+TSPkbmfFDKx3N9JCcmEWv00+Aw4nI3UtlWzHWbFlBtl++vaTFjuS5uGiH6ECSlFsHditeaxoLiL9ldt5879UkIzaWnTNmdjIgAHU2VRUSEZQBhqADMx4omvC4ke60cYTm6Sv4DJEssodYQ/jUnhn4HHuCLWVeQ7Q5DEAQSrHrSPx0pN/0EIg++xpTMd3h5/QkeRDol6UKRXApetkMmmEFJcMU6CEwgVmfh009HdBrnidGW7777rsvnGDVqFKNGjWr/9/EinhPx7rvv/uL1ADhw4AA33HADWVlZbN68ub210g8//NC+TUBAAK+++mqXfWfOnNnp3Dk5ObS0tJCUlMRzzz3XZfv/JPwqgnMqIdLvYfL3v4j0sFDKmlNBoZYrIo7BGzOUfc16Bht3Q/iMXzyOu2Q76qMrOxY4GhHWPob33EXUuxS0ODyEmrUoRQG9p4GUiCCuG50IgsjOogZ2FzdxU08/CrtVziWfBFXFTvB5CTnwOkHGZbT0ewu/AzT6Fs7+Zw1vzOvH6PRTOIaexl8Om8vLN3uKuCVkF4bPbpcf9oLIVeOfpiGl9+/Svuz/iyPVbRypbqNfXADb6t4DILcxmzu2z+a8mIksNKQgfHcHqIw4zvkAQWtGu/UFRHst0JXglNXUEr3/o44F0f0gfSqKxoKOZV4XsZvvJhZounAtXlGDsvmY4WDPOXJfpOPeJiVbjxnVBaGKAq1Kgd3dWT+i1WjYUOri/mUdqV+zVsl7062oGztmwiZXNS2KxFNeB78hlBWxt9PXZEGjlMivbeuUPvFLsF3KoMfYV4ja/xKi3wtZs+V0TGQf6HMR4qdzOw6oMXOwRUe5o4kHv+toIpkVaeTDsQ4CtCIP7a3j69wWBiWnk1q6DcbdT3KwmuXlNv65sZxl+/R8co4V7XvrOg9WkuinrWBlSQAFdTb0hihuH6siUduGtOcjGkIHUNvmw+txstG+s53cAHxVuoaxpmSstSW4LHFUW2M4d9udpFoSeb3bVcSvfADGPXjKa/SboNRAcApknSt7GAEo1EgTH6O3wY3YdITqgXeR16oGQSIyQEurww3WJGiSr5eYMJx5A6OIsppZvLOMzGCROdENJNXsgOj+sO4J+biuFlkH9if+oK677jqam5s7LTMajdx2220sXLgQhUKB3+//3SQk/+n4VQQn9wT/C5vNxksvvdQplHUavw0hcVnYZn6IbtVdiA35uJMmcrj7zczWGggNniKXIv8C/A1FXZapq/dQUlXNzA8KqGl10TPGwlPnZKFV6Slq0PDpjmLqbC7GpYfyyfxUmhzrudNex/3xQzFXH+x8sOgBUJsDsYNQ2Ovppa1iWa6P+Nh8RqTFcv/Xh8iKthBs/Ot9ck6jM+rbXJyX6MHw2YIO0afkx7zmLm6eu/pv8Z35j43L7fOjFjunPj8pXcnCfsOw97sGdfoEtLsXITQW4E8/C7eoO6VaaGupk3MsMbIDrlIjt8lYfR/CmHvkbtgndLB2J43H5K5G/G4BgiVKdpxWG2X7/RNRvBlG3UX0nme4ecxzPPJdR+VoeriRaINEWFse/5wcwFPbXBTUO2hxejlaa6PX8SerqMAYEku1PhxvjzkoD3RYa0jdZiAWb2ZKVB+aA0wYfeWsPNNDmxDErRtg9ZEGTBolNknDxFVWpmc8ww1ZfsIr10K3GfhMkbhRdroetWnnY9TrefbbE4gdsL+ijeI2BQnfnsc/xj5N/6xu+BRHQW8FlR5tySau7D6SYUaRMo8SteCTTfyO9787BpVaQ4+oQHrEhVHf5mSArgJxy0cUD7yPlzdUsHivLOAdktyd+d1u4b0jz7bvW6IAZf4qhMA4YnTTWRY+CWNdPsavb5P1VGHdTvHN/nYIkVn4RtyBkHGW3G/LEovPHE2r0kqRN4aXv89jU149IKfwHzu7B+6z/om6ao/szhySjtarYGSiyJmZwRgVfoT81XDgkJwCBbmfljVNLnfP/wEOr4CYAZA2GazJv8vnOBV+Tiry6aef/uS634qBAwcycODAX97wb47fXJNsMBgYM2YM119/Pddcc80v73AaXaDRaNBkTMAW3hPJ2YpLG0KqyYhG+StSU8fgDkrnZEVMc9xEfizxtZd77ittZvv+Q3Szity6uCM8viqnBq0K3ME72Fy1gdEZlzIxsjfq412x0ybLncv3HAuxJo4iLHMGw5w1hFuSORIr8WNOM3a3j/8sTf3/BkxaFR5XvewoeyJ8bkRH/V8zqJOQEmoiMkDLgfIWZgyeyqaqtfiPkRClqMQVmIyoC0X52XntPaXEyn1o2qog4vFOdgqSJHFOeDWCZhaUbpH7IeUsk1fu+xjG3gdbX8UdPZSa/reh1ugwV2xA21ggi0SbSmDCw13GeBxuSYlK8PHmrAR2l9lIsIj0j7XgqtjFrqZgGl1+HhgfzuJDLXx9oB6P0oQ/MBH/qH8gRvVB8LlJ2v0E9d3mY0wci6r2AAQnyUaGm57Dd+mPWOzFCBueheJNWDRm3hh5J99njUXUBXD75/uZ3iuK0WlWmqRybEkXIDbkEb3zXbSGADjvI/jiMvDYkQQFGjzY3F0F2w6/fM2CtjyKbdilpIROQBp6k9zCITyLAFwM3XSJLGjeEwQTH5MbSh6vfEqZgOBxEOIu4cIvHczoHUV1TBz7Eu6lrdTVTm4ANue1kBKRhlVnpc4hl2Qn+AR8Y+7F21aLprGAcHvTMcF1Xxh8/a9KT/1aKKzJHUTD5UBRuQu71sLBipZ2cgOQX2vjq70V9D4zA1JlL7adhbWszK5jc34dPaMDmNYrnIGxQ2CsRU556QMhrLvcDHntY3A8LZq7TCbJ85eC6X/D7uTvjt+swfF6vRw8ePBv5774nwhDYBgQxr9zJT3hvakfcAfBu54DnwdPzBCae11JW7nANaOSeH9LMRIwXNjLjvquguVvD9by0twF3Ji+EGdzPY3jx2L0VKIUVGi2vgS7T3CcLliLMnYw3dc+hmSJ4bLpb5KXFUGo+a+PBJxGVwQa1FSbo2WvmBO7mWstCOa/R2o5KlDHuxcN4IvdZWzLaeXJIa+zr2EDaoWKMbFjUFsz8e9c1LlhZlAiotaMv2w7YngWaORfjlC5D5ZeKW8z8i4whcGud+V/1+fBxufZP3sjm0ucbF5bT3IonJeYRerxyE5TMXgdENUHjveOAkgcDZX7OZpxNU63mpV5TRQ1eBgcZcRVmc3sNXpaHPL1fWVHCy/PyuBIrYvuiVGUaeMJdH+HydUCSy4Fv4/g7CWyy/C4B2Hl3eBuhb6XgN+LsP0tuRUFgKsF8fu7mTQrGtvuT3n/7Dt5a78Tn62Or+q0vLP5MD6/xAVZV3Elq4lY9yTMfg/KdxKqNqG0wLQMM19md+iG9GoFKeIx7x+3nQlRI6lxxuKMsqKL7iMv9/tlMvjdnbIp4K5FMPsDaCmXe5F5nPDtraiGvMX8wakcKGtm6Z5yUsOMJId2fYrtLvCTmpZJvWMD8+In06NwK2J1DpoRt4NChLihchm+2oQQ0aPL/r8bSjbhFPVUtXrJqexabLGzqBGHy4mqsYxqn5EnV5ayvUgW3x+qaGFrQT0vnZ1IauFGnFFDaA7qQWRUPGJdbkevtmOQJD/upgo0pwnO3wL/lgYnODiYG2644Q8Z0Gn8OgSHhFEy4Hoa4s5AjZsVZRqe+FcZkiTrAG6ZkMqy/RVEVawkL7ZryDQmUIcgKbnms1yK6u3oVAruGRXIlFgfmvw1XU8oybM4obkUxfa3uHHoAwg+L/yGqNNp/EnweQgIiaL1rLcxfXutXPVhDKV50isERKb+1aNrR2q4iQWTM/D6/CgVIhMZ1Gm9Xzzh8ZQ0FkJSYcsriBuekU0Xxz4I4ZnQWNiRSvnhITlFNWqhHB0AGgfewaKdde2OzeuP1rHusJ4P+91G+I4n5f0OLoFeF0DsUKT6o3hihmC3JLO7QcO+1hg+2VnYbnTXmuai0BnQTm6O4/XN5cwfFMdF7+0j3KRmwdiBDK5fivJE7xe/D2n/ZzD5aQSNEWIGIFRnQ8EPdEFLJbrk4ZS0+PlH4Gp2tA3mn+s7ChTe3dtC4sixzE83IK26B6FG1gIFWmK56azPCNMLfHnESVqwmpt6uEneeB8Avr4X4XSH4ZAU6DQnXGNRhF5z5BR5QyGSKQwh+8sOLQuAxkSJL5gAvYo9pU0AVDY5GZXWVY83ON7IjOBe3GJIIC7nO7RlO2S9Sv1RCO+B395EXeIMQhOzQP/HxIKlku3w9XXsPmsdN3yyl7kDY7tsMyQ5GOOmp2DL8xSf9WM7uTmOgjobBQ0eum1+FhUgDP8HbW19MSr9iHS0l9g5bS2f76vhyDI7M3sX0DcuiOTw08UYfyV+swbnNP4+iLWawdqHb/dX8PiPe9qXtzi9rDxURYRZizdsAN2b1zEsdgwbS2SjM6UocNXIJN7cUNAuaHR4fCxcVcfAq7thiOyPsmJHx4kC4zvZvGsqtrJ0VzHTM+pJSMpAoVL/KZ/3NH4FijdD7nI0FbtRZ07DNecLGlvtSIZQzGFxKJXiXz3CLjjud3IyXNbuKCzRCM1lED8U1pwgQj26Sm68OekJuTHmifC65HTBrHdh/2fkx0xn6fd7Om2SX2cnO3IWodavEW3VOIMz8Qb3QK/U4k6axEP7DHy4vAJwccNY2skNQLFdi3D8xXYC2lw+thY20mBz02Bzc9HHuSw5bww96SyelZQ6xLIdcom4PhBvfTGK4OROlYwAaM3Y8jaSERFCaNFXrDYN73LOJQUKzutnRV3TIXQWmkuIz36dOzLHcnlWKHq1At3mV+VS+36X4U6aRLHNzOi0U5AKrQViBkHxZoQNT2Of/BLa0m2IjUVgiaZ23PO8vQr6xHVcj1aXF78k0SPKzIFyOUKSaNUxK0NHyge3dTq8P/UMxNghSKKCPMmMJTod9H+QB5PfB0XrEaL6sz6vgXqbm6oWJxMyw/g+WxZA94qxMDUzGPH95wFQ0TW1B3LA6TiMW5+RG42W7YC0KXBkBXvPXscl7+2nxSnvv7ukkZtHx3OJt5Ran4FGwUKMRUNo4OnMx5+JX0Vwxo4dyzPPPEOvXr0AWLduHU8//TTLli37I8d2Gr8C7opDlFa6uiw/Wt3GPZf0x+OfRuiS83k2xseWwdeSV2tDrRRpcnjYXdLUZb99lW7Ekc9gzv6I4LLVeGMGowxOhB8fad+mKXoMa4rcZJgbCNbmEBj/y46yp/EnoGwXLL2qvXO0ULwZTY+ZhI97ECxRf/HgfjtUkVk4Z7yLtmIbQmtV1w1yv4ERt8v+T73ndWjGAMJ7gi4IBBFJVJ6CjkCTpGfv+I8pqKxnZ72aT94oIy0smpEpAQxPDWZwcih2tw+DRsGJJr2vbG/m9VkpiJsa8Z9w4Ck9wnl/a0dpsc8vkdOqp6dK38mozz/4ekTJDT88hF8bgCd5KupRdyN8cQl4Zd8VKWkMu/wpkJxORumn0FZNRoyfpSd9hqwQEWVddtcPV30QRUMB1sJ1EJKOd/5yJI8DpyYYQaFivPYUJonH4K0vRHLZUPW/DH3tPpxTXsSvMmPzK6lrauWu4SYOt3UmJW9tKOSBqZmcmeUn2KhGIQjc+30eT4x8lthtD4KzCVfMcBr73gr6EFRaM0nxAX9YdOPLPeU8+e0BKlvTCTFlER8sT9AW7yxjaHIwN41LwaRVMjI5iORFvdv3Sz3yGmf2uIZvDnRUgPWJDSTRX8SlPwZi9wq8NqoJi0IlpxT7X0bj9A8prG1tJzfH8drGUmZEmQg/8ha2qKl8XhjP6NRgdv24nAsuuID169dTWVnJueee+//+vNu2beOTTz75jy/r/r3xswTn+uuvp6ysjPLycu688070ej0AdXV1OByOn9v1NP4E+DwelDteI8NyZpd1Z/QIBwSGv1POdf1e4tzoJnpYPCzaUsfukiZm9YsmJkhHaYMDhSgQZtJQb3MTZlRyWLJh6nYTzvhLCdBI9Cx4E+WxFJUnrCebrTPJ2dWGhB6p9a/xUTmNU6D+SDu5acfBL2RDsv9AgqNWKSC+Px6fE5WvK4mXwrojaExyI87+l8veMC0VYImB0Ew4sgJyvyEuYTrTeyWzdE9HRVB0oI6EYD251X7+tcdOUog8RT9c3Ub3SDOCKLBifzXlTQ5GpYXw2vl9uPIDWZ9jc/vYWe3jn+f1YNG2MhrsXs4fGEtOZQvNjs7CbqVGh2fOYnxHVuGyNaLIOAujZIMvLgFJQgSM216l6rzvCTp/KcrGAlwqC+8WW3licS06lYKdk1NhdwNjDfm8HxhDaaN8LYIMas7NCsDRnEyXbnExA9orfiRLDEqdCUxWfpLWSBK++kLqmpr4Mk9iXdlZXJzmZUjeMzSkTSKwrpT6Bid57kAMajfjE5NoHRHPW5uK8fgkhiYHY9AqcbS5eezbXM7uE82+KiczG+O4utd7BKl9rKlQMblBzSDnIQKyujZ//V3QWs2XG3ezYKMPh08ABGpaPTTaO7Rcm/Lq2ZRXz+Nnd6eyromkwDgEh0yADLlfcNvo0QxMGMq2oiZ6RJoZHGwj4ONzaHTpWDKpHlInyZFSgPx1VPa6B29FU5ehKEWBHCGJ/MDr6WFQEOJpI7fGxj//+U8uuOACRowY0WWf0/h98bME54wzzuDpp58G5PJwj0f+8er1eubPn//Hj+40fhbeunw0+z+hV1w9dw27lue2tuDy+hmeFMCFg+N56JtsmhweHt7gYdyFESS+24v7z93GuooQ9pW1cOfENL7PriEp1EhJvY3UMCPVLiXdg5KIUzahjg6Ftnr8IVeQH3s2RTVNrK8z8f73LVh0KjLFEiRTn7/6MpzGcZwqTIHwE8v/c9DU1EiIJbazCFhrgSE3yJ2zASJ7yn8nQhSQdrxF6HdXcOmc7WREZLAmp5qeMRbGZYTROy6Io7UtHKluY3a/GL7Prsbnl5jeO5prP9rdPiPfW9rERUPiefei3qw/XEtogJHSBjs/5FYTqFMTF6zGoBaJDTZ0ivTEBesJMGi44Huobh3FrSMjmNC2DXK+6NyzyeNAzF7K0H1DuWDQAJ5bfRSdqpkeURYqmx0sb01lZmg3kjbexsf9F5Kr7YnfEEaqfTfxSy+hbcLDtPaag2nfp4CEL3MGCp9bTisrNTD4Gvm/PwVXK+z9COnwamp63klWlJn+SVbmLMrmlQm308/h4WCLnvkrRdw+eWLbMyKPW8cnMyipH0h+FAq4/fNDVDbLEagVByu5Ylg8z/+QzwMbZEIWZvJya2/QNh4GfkeCI0kcLinnSFUrWtHHYzv8x8jNCZfYJxGoU2A1aXF5JS4ZGk+kSUVw/XaErHOhNre9c31MyVLmTRvHvG5yOslTX8XV+6IpamvhH0WD6eYXmSNuIp94bt2QzDn9m/jXfVdj1MbgqisFQcAz6BLOH57J7QvvxVFdgCj5uerqq9l36DCNTU3ccfttDMqIoaCqmdsW3ss777zD8uXLUSqV9OvXj9tvv52XXnqJsrIy6uvrqaioYMGCBQwfPpzvvvuODz/8sP2zvfDCC7/ftfwvw88SnMmTJzN58mQWLFjAZZddRlLSL/uznMafB79KC7oAzAXLubzpCBNGXo5L1BEVpcepV5F9QsXAl4cd3GSJJuvTgWTpgyE8i/3+hViNBp5b1VFC3ifGwgOTk9EERYLWBPpAFIDXa6TZ0UJBYQOX9rEwI6KBUFMg1brY06XifxcEJcoC0fr8jmU9Znfquv0fiaAEWLcABl0jv4T8XvymSMS4IT+/X0g6/guXU5KzA33VTkaG9SQrKplvD1Ty5d4KDPo2WoT9hJq0vLu5iDsnpXO0ppXiBnuXdMPH20uYm+jgLuk9vtTdSpkgEGTQ0DM6gLyaNgwKP1/vLeeOiWk0OzxoVQpcHh+CJHH38CBMUgvxvn0IQd1g/3tdhqr2yaljnyRxdV89swPziKpagy21N1tUg2g641WCmnOI9rmIbtoMq18Ht9xd2rhyAd9PeQRfZDo9gjII90tQsQ9pzD0Q1RchcdRPXiJJknBXHcFm9/BhxIO8vLgIl7eaPrEBfHRpPzI8OXhbK3l8lxG3r8NLaF+lXf6cOiUiIt9l1zA2I4zFO0sRBDindzjTMw2kBCTwXW4zaVY1E+IgbtnZuCY//6u/+l+D3XllzH3vYKcmnKdCk8PL2ozFuK3pNIbHU+oUSNn1MLgbYcgN+DQBHJaiCUvuQ7A5gjaXl32lTRyqiODWx15j4b0PoE7sh09ZDYZ4ynq/QOvOl3h4eQ7UNnL+DddgikziyzeeYkhMG1s2rcXe2ox31M3gbOGbdTt46B+3c2j9cvZETMFSsw3l4e84vLEnK1as4JNPPkGpVHL99dfz448/AnKPqrfeeotNmzbxzjvvMHz4cIqKinjjjTfQ6XTce++9bNy4kbCwsN/1mv634GcJznvvvcfEiRPJyMjo1IId5FYN8+bN+8MHeBo/DZ01Ht/oe1Esuw5Fw1ESN92BFJyEO30RBoOGM3tE8u6WIgDe3G1j4sTHyVh3JdjroXAtroEvsGhLZ2Hj7tJmWhqqwBIoE5xjiA4MZWuhkxemRiG1VNEmJPBptYE56V2C478r/H6JoLBonG4vWrUSl8dHcb0NCYgO0mNQ/2Yrp/9exA6EM5+HI6ugNhsSRkLs4P/I9NSJsMR0o2H4/Siyl2JsOIAjfSaKwFR04i9X8CmCEzgcoOWqD3YDhcf+YPGVgzjauIuvS97i0gkXU9cQRm5NFQOS1AjerqJnlUJE7WmhSp/Ks6uPUnVMdLz2cC3zB8cRGaDmvP4xPPhNDqIgICFx6/g0onRu0qt+gE0vQls1hHaTIyrHKrwAubIobTJzTFGkWjUMbvsG08a3AFDnrWBiUApNaZ+A3wutlbDhmc6Dk/xkaay0WjMJMifhaanCkxKDaApHY/7p6UdhbRv7y5v5br+XISln8sxXHc+C3SVNJPoL0X96NtXTF1PY4O6yf43Nx7Nf78Prk7h4aDw9oixMyAzFoFFi1auJCzES7t3JlMoPoXgPbD+IL/VMNPGDuhzr34XT3sZLa4t+kdwARCqasUQkUmHphtsPKUEKGmd+gbktH235VnwV+8lPnk56iFzivWxvBQuWHnO2tjWQ4hU50uRnmy8G/fxl1FaWUtLowOP1owbeyfYyiSbGJRspbbFxMCcfguLl/bVmFLFTsDl9SJLEtaNSuOeFDZxh6U7Bkofp2W0SKpWcQOzXrx9Hj8qmkhkZGQCEh4fjdsvfQXBwMHfeeScGg4GCgoJ2bexpdMXPvh0effRRUlJSePTRR7usO01w/h5wp09HaQhFrNyDZAjBG9kfbZTsKXHR0HjKmuyszqnBL8FuRQ+SLl2LurUUpzoQr1uNz981f+FpKsdZlIv2hO6/Bq2SM3pEsqOkiaPVQaSFm5nWMwC95o8jGNlF5SzZV8OPec0MSbBwdp8YsqtsfL2vArVSZEpWBAPiAkkMNf3ywf5XkDACQjJkUas58tQdt//DoFaKBCX1wx3XG48kYVT9tntuaJKVl+f25o11+WhUCq4ZlUyUwU9VQzwjVfcR5VeSFVPPk0dfYu2BYv41/BvCzJpOlVPXjIgl3vkjK9U9qGpp63T8T3eUYtIo+fZgFdeNScaiUxEXpCdAL5Je9hGsfQxPSBZ7zlhOXouSJI1Er+lvodnxKpLajLf/lWglB1e2vIgQMRHlgc7eKoqGoyjqczmgG4BGnUmq/o1OVY1Sv8uwGqIwSmrEdU+i3fMOKHXYhy/AljoRQ+ipI+8Hylu46dO9KASBuJDOzvQhRjWq6gPg82A9/CFnd7+Sf+2o6bRNbLCJG0fF09RmZ3yKiUx1FQpBwh+SgVor6zW18f3AEoKv7iii2oAiJF02yvsJtDo9FNTZ8PslEqwGAvQ/X6HpcDrJa+yse8oI1VFUb8Ph6yCqOoXErd1srGYgd37loN6WTVKIgScnWOn71RwQlSgmPMLY1ABEUaCiycE7mwq4bHgCwQYNWw8eoTRfoqTJg9PZyraiJloPn1T1hsB3hxuZ77SRHqditSkMsWIvAGq/C+3Wj3lKuJwWp4dHvs1lTHoYzbUO9FlT2blkBzaHC71WzY4dO5g+fTq5ubkIJ7WBaG1t5cUXX2Tt2rUAXHzxxe1dy0+jK34xgpOens5773UNqZ7G3wM6gwnSJ8p/dP5C460GXpzTm/JGB2qlSGyQXv7BhKWiBaIaWhiTHsIPuR3dikNMGpK9B1Fmb4E+53U6V6hJy8Ru4UzsFv6Hf66Kygo2FtvR6vSMz9Tyxe5yNhc2MzAhmG2F8sN9Y14dL5zb6zTBORnGkL96BH8I1P+m55JJp+LMrEjGpIciIuDx+7nniz18eaDjvp/bM4B7htxFmascm28/r83tyfrDDRQ0OBmboGdE2euw+UOk8auAzgRHkmSZU2GdjedXyzPvF87rRZK6WTbHE0TWD36baz4+iMsrRxpGp8Vy75mLCXEVoSr6Ee3aY07KlrDO+pxjqHeWs1+K55Fvall+9rvElC1DUXcYKX0K7phBaH98FCFyENqdr8s7+DzoVy/AZwjEXr0bXURvhBNaCDS2uVh+oAJJAq8koT8hEto7ysCTU2LYUB9N29BvSFXXcZG+lmZXCF8eqMWiU3HnGWmoFAJXjEiGog1w8G2oOypHDO21skmi6pjuJzAORaA8WbI53XhLD4KrFZXGiF6rhpA0ACqbHOzNyaWswcaigy7CzTqentWTeOtPR4kDAwKZ1T2AZ9d3FL18fpaGVYue4SnfLCoIJpJ6bu/hJSNUz5QVLe2d1fNrbdz6ncQX3S8heO+rKL65EX1kT9D3ps3p5aIhCdS0uthf2siMXlE8/qWPyIxBtK59kw1v3k9Wj24EGdTUn1AJlh6qR1XsQafRcMcl5/DC03mI618iyqKhLnU8FdVtqExhNK59m2/D0pgcq2GLfiTKJAWzzj0PnUqkb9++jBs37pT2LEajkT59+jBjxgz0ej1ms5mamhqio6N/8hr9L+NnCc6AAQMAWLp0aScNzt69e1myZEn7+tP4/6GiuYHCOhs6UUWkWYXBVYrgc6KxpqHS/fRs59dAr1aSEnZqAhAbZOYf4+PICBJZcaSNvuEKLo6rJ3rdY7T2uZK/ijb4/RJ7qn289EMBrS4vBrWCm8al8vbGQkJMHWJJSYL1R2uZ2C0cjeo3vPwcTbJx4R9kLnYaf08cf4nnFtZ1IjcAH+1rIjZJ4pUc2Qyvd1AmT2ZeTviaR+D7fe3tCtINNoINauptHSmbGX2i2n1VjiOvpo2Hl1ewdUY36oc9xBOrC9rJDcDaI3VcOiSOSk8ACn8qST2vxrr/NShYi7/HLMQTzPV8lmg2eesxB9bSL0pHUO4HKKt3gCkMYc0DKELSaT7rTSxfnN/lMyuK1qIv2oTPmopiyjOyngnQqRUEGTqiIyUNdoYkBWMW7CzoL3Dl0iJya2XBsCio+dcUI485H+aqix6lVR1Og8NLbLBEedlWIr+8GqH1mEty6TbZ+dgciTe0O8X1duxuLzFBepqamggpWIJl3QPgseOP6o9zzINondvBmor54Cecselx8HmY1vMa/tk6lK/2lnPjuJ8xpxQVnNM7gkaXwAc7K9Grleic1UxXbGS6YmPHdqG3sdrXp53cHEdRvZ3KvlkdOsLGYojsTWFdGwcrmvl4eykvz+nNwqUHaOl3NbY2JQ8+9CqvrSvgu+pWekydwFV9onlScT9GUeChwQKpU6/CsuYufFIFQ159gi2FjQgCPPqtTFg8w69tP3+/qZkMCXGRFjqeUt8srhudgniMMF1//fXt2yUlJbV3J/8pUfF/Q++o3xs/S3Beeukl2tra+PLLL7HZbEREyLnJvLw89uzZw4MP/g7dX//HkV1VwYo9tYwzV5BYthQFfqRec1C3liCseQjHGU+gC+v+h50/MSKEi7qVcYVvGfrqXajW7AF9MO7UqX/YOX8JhbVt3Lk0mzaXLPQUBIGy1moenBWI2+XHoFZgO9bZWadSov615nWOZuzFO1HtfhvRY8fe6xLcoT0Jjoj75X1P478GJxKNE+E+Yfmehmx2NmRzZuxgqOio3IoX6/ngvEyWHKjnQK2PaZkBFLUK5NV0RHW0Kvl+rG11sdWdQGhCMtNUxfgkLy6HlUXr25g3KI4nv89jf3kzoCQrYjwvDEkgYdMdNA+8EltANNFFm6kPTWN3WDLP5b7D7b17MCdJh2XjZ/KJGmU9kapiNwpnDa6gVDS1J836jWHgaESRvwaq9lPZ4uLHIhffHrWRFRPEzeNSeOmHPDYeqeVfF3QjzlvIjxVKcms7CKBfgkd3+Plw6r0Ea9XYfALBehX7ymzofVb8Pa4lZscj7VVIHFqCv9f5vLWhkGdWHaZXdACZkWbuzWpE4WuBwdeCUot44DM0217AOfwupLz1GFbfKe8viIQWLOHirChuz9Vw9SjfT0bv2lwe8lslYqwmnjvbQqZVxO2rQKtQde7FpjIQLLiAztVkZq0Si/sEcqq14K8vwO0R+WJXOQa1gpo2V7vo/NwBMTz4TTaNdvnYB8pbqGnN563zuxMmNGHVgWb3WxSkXMhhXzyq4mxGJHfDZmvFrFPS4ugsXm90eLllRRX/GmnHZiuhqVpNUET8KT/rafx2/CzBEUWRRYsWIQgC33//fad1Y8eO/UMH9r+CozVOxpkr6Ll6bkfH49zPsZ/3MfqKvfh2vAOTn5J72PwREEU0xlCaMubSENQbsZuIMjyToPA/riPuL6G00d5ObgL0Km4+U+T9/HtYsrmazKBMnp/7CAdL/agVIgMSArvkqX8KtpI9GD6d2X6dTYU/0jztPZwmC1pjwB/1cU7jL0J1s5ODFc002t0khRjpFmlGrVQQHxZIXJCO4oaOtEZKmJ5q95ZO+xc762UdE4AhBIbdBMtvIsNez909ZuMfO5dmZSOHXQHsLbOwraCZRKuBCwbF8eraPADqFLAo+3m2VMkFGma1mQXTnyCvzHeM3MjYX+nku4QMrjaGoslZxoPWIJoiwim35VCZ/QNqUY3aH4EodG4jgErP0TF3sq5xDxN6nUNs4Q/t1VUExoOoav+33+PkxS31fLyvCYCN+Y3EBul48pweRBhFdlS4+KbBhMWkBzpHuCqbXXgPbyE8dxHqGe9z3jIHhyrlVhVWYzrvjfwnmWsukjcWRPwKHRalm5fPSaa0roXhkU6EHW9C9lfHthFgzD0I217HKYK5uRiUGprjJrI98RrWlIkkOpXcPC72J8lNXUMBSw7ZeXR5h/fTwGgdz401EjHlWYQVd8ikS2NGsqaSUFvOtf0zeGWHPG5RgIcnRhOzSY6USAOuRNj2GmLeKib2nEf14LN595APv18ixKTB5vKiUynayc1xRAfqcfiVbG0xEeHXEtT7Xi5+dyd3DjVyZrgP3e5HULRV8MjEu7nhq6L2DOSM3lFsLahnX4WNAoeRfrkv4LNaIDxOvj6n8f/GzxKcK664gmnTpjF//nzuuusuunWT29mrVCpCQ7v2HjmN3w67AxLKvuogNwCShHbvRzTP+owWvw5/ZS1xUX+c7sUcFoM5LIbWyGREBAxm8y/v9AdCo1KgVYk4PX7mDDbweu7ttHpaMaqMTAy7ies+ONo+C58/OJJIk4co6y9fH/H/2Dvv8CjKtov/ZnvfTe+9J5AQegdBBEFBFLD3ir7qa+9dsX52fe29AjZQASnSpfdAeu892d1s3/n+GEgIwd6Vc11ekinPPDs7O3PmLucUL+t9ngH9zpeojxxJ9B+goF7RYmd1QRPbK1oZlRxMsFHN6vxGBscHMjIhELx2bC4vBpWCkODg339C/2A0dDq5bv4uNpZIztGCAC+cNZCp/SMIM2l45cx+vLq+nA3lVsbF6xiXq+a2LfN7jZGtCaFU2Y+iUR+CxsI4DqDxe0GuRFSokbWVEfDVdQyXKXlozvuUjc3i693tPLo0H5fXT6BegVZT0k1uADrdnaxqeJdE+dw+c15fr+CiwZey22QmSyFnT/MeWpr3kmJJ4abca/A0yGlSheFJnoyyeBkAZWP/y8UVn9LmauNNlYm7Jt3MCLkFk8uO0FkNG56WBlfqsBkS+HhPb+JS2eogKVjL2pI2dpa3cu7IeLx+fy89H4DTs/SEln4K1jq0395JsuUO8g5mpZptbt6uDGZeaH/kjXth0EUUyxPZUlXBZ7ulwuQFkz3IDpEbAJmS9tZmamatoaoV8h0nkH3aHMqbOrl/cY9sRfj2Nv5vZjoo1Bg1SrKiJG+ncL2f0g4Hz62o6fV5Nlc7KG7woovJRHfmpyjs9fj1IVQr45EHDObsqCZGp0XQ7FYQFmAiyFVD+/H/h1GrQr7x6W4BP9XOt5gzMhz1wAnMCizk1P7rEUyRFISm8fxh5yYzwkROtJlL3tnePYfrjk/hyenxJKtaMH56NjjaAJjcXMIH585nQ7UTlVzGlrLW7utT3tUE8aORNxdA9OAfLMQ+hp+OHyQ4SqWS6OhoVq1aRVFREXV1dYiiiM/nY+nSpcfE/n4DRAdoEMr7hsxlXifmb+/E3JRP+cSXKJWNIjHi933oGU3m33X8n4oArYJrJqbw9PIiVJoOrB7pjWtyzGxeWdHVK8Xwzne1jE01EvUTTo0o9O0oEmVqPL7fvwuh2ebihvm7GRbmY1a4DaPMS0W7keuzutjW4sHb3IxQtJyoho00R4ynJmkCUUm/X2ryn44DdZ3dDw+QHkj3LMpjcFwAoSYNaTGhPDw7mM6OVkwqgcquOsZGjODb2vWoZCquSJpJvM/E1d/52VUrAm08cupEJs7MIlDpRr7nY/jqOmlwv4f4dY/QdcI8puckoJYLmLUK/tvPyce1y/vMraj9AGdm+nn1iOUjk0PYmTiNq9aci8fvITs4m7MyzmK4JY10RRgB/rWIJYsRoofgD8tAVr6OvIAI2krb6BeYiUVl4u7C9zGrzXw0+C4sNduQy1X4I3KwjbmbWp+JIyMzAA0dXaSEGnB5/Ty5vIiBsWbeO7cfd31VQl2nmzP7GzjfsBlZi0Q8FNWbGTZc4Ise+yt2Nvqx556OZthlEDOcrqbWbnIDoPcd5uKt1LH7uLe4dbOSA9/tICFYz3kj4the2Ua9rZlbZoJbbEdFCM3NFixq6PL7WV3QiN3tZUS8BaOtGHOLC6urbwGyTRmEqewrduhG8nlNHGeluImJ8GNsXA8b/0dkRH9J5bqrCUZeD8Mvh83/61EnPghTRwHnRFsQFtzKIWOKAakbuXL0zbywrgqAE7LCeHZlUa/9nltVzEcXDcRRuamb3ACoWvLJ2vswr9vPZ0VhTyRufIKOxJYlYAkEtRFUBpyttchcHVR6TXj8cpJ0dlQBMaA45vv3c/CT+i0ffPDBXsqJh3CM4Px6hJoFOtJmYcyf3/uVKWEsLL8LRJH4dTdQHPgF/M4E56+C9EgL1W1OrjwuiZQQG4oyBV7Ri0URRX2ns8/2R1t2NHhTpsD2F3vl5jtyr8Cs/HENjV+LogYb1/Z3M6p5PjKiYdtSBqjNeAZfxtDIJDRLr0F90OA0smwlXfXradT9H6ERMb/73P6JONIyAaDT6cHr7/mulQoZQUHSbyrJGMQdOTdwRdq5qDxOBLuSu7/zsKu2x6A2xKjFH56Nd/eLyHe912tsRWcd/RQaZOnhHJceTl15AcqmPFIUfUODEyNHktG2kxNSUvimSCLvo5KDaLa7eejzFv538lMsqvySFlc7ubpI+mnC2FbWwcR18xCc7VC+Dpk+BH/O2fiVZt7rfy0phSvRNJZTlTaLDz1NuFrLkXfU4D53EW/mK3j8nTqeP8nOmdlmvirq4oTMMJqtLsqabEQGGJi3rJCNxRIh3FvTwcYiDW+M7UJlCCDs2xuR7+9hM77o4Wyu7/1SMCo5GG9QGipfK/76PTjaeqLASrmA0xwPMgUIMgqmfcJlX3fR0Cmd27JmO0+tKOSZM9P5tGIRqxtKyTInkRU8hWhdCHcsKUcpiFx7XByljTYGyMvQLriAqLgJTEm7nqUF7d3H0ihlpLjykK3/PwbLn2PgzJeR5X2OP+JWaqweZCc8T3jtKoToZkgcB7HDpa7DgIQ+35Ov/+nIv7ym1zJN4WIuP2k6I8/IosShJ8Sg4kilDa9fxNnViYG+tYGmkkXce9plTEkIYUO1h5HhfsaoCjB7wxBrdiKkTsVfu4P26hJerYnl7Z1lyGUCl4yM5tysMsKULrrUoeiDfv9O1n8CfhLB+fLLL5k0aRIlJSXMnj2br7/+mvj4+N95av8OpIVF0CL3Yjt9Ierd7yIXvchih0s+MocIj70Jlav1hwf6h2FglAaFQkZNu5wrs6/n2d2PUe3IIy3sOAoaunptG2n5aVovhsThtJ++CHn+FwhuO460U7BaskgM/v1VQM0KDwkVryOLzIA1jwIgAKqK9cjO+Ki3ezugK12Go+ManLXrkTftR4wchCpxhFQ0egw/iuRQA3KZ0K3zNCE9lFHJQdy8cA+xgTpOHxJLToyl1z5hocl8tUHOG+tL+c/4WMzmVtQKF9EBWq6blEpurIUGZym1Wh25RxzPn306sqDE7r/X1oicovDSv/hb/ptyBi+WfIrb72Zo8ADODx9D1Mfn8/DwO5ibOxK7IoA2r4oul4fzNPkkvHcHw8L7I4ZmIix9EP+Qi0g15oCzveeA9iZk+YsZnzgO09eXSg7qQFzVFq6adB9OXRRUbcJduIovC0bi9Ytcv7SJj8/PIjnSzgfbG0gJ0fLk7Cysbn83uTmEomYntTYfI4uehNih0JIv3Y+M4TgnPED4AQPKQhtev8jx6aGckiASuORKyD4dIXUyGSYzUZZmzDoZl01U4FEbKT9vI0JbLctbQ2joLOx1vE6HF5+8gXOCkskuaUKbt5bGhECWoWB4YjClTXbOf3cfH100EFlzIYh+tOUruHXMFEJMuSza10pKiIZbBnhI2XCfNKjPjSz/SzpG3caH+fDi6kD8/kquGjaE2fEBBEdnQbikGUbcKAhJlywbAFR6PCoLcldvSQAAk7WYUfnPsCTwSYaOjMOsVfYi1IF6FTGyZrb640jVhyOz9xjFeifcS5C/mVOFHYwdMIQtnkSer7SQGmokZ/xVhKnchK27jVXGC3h9u1Sj5fWLvLC2kjS1nunaPHT2RsTkiaDUI5ijwHiM7HwffhLBsdvtzJw5k40bNxITE8MFF1zAgw8++HvP7V+DoOAYulpKEfWB+FOnIPvwTKmN+RCMEciNobi9399N8E9DoMVCaHsdX1ZYiQ7K5bHRT1JqLWTytAjmLaqlrNmBQa3gusmRRJl/WkGeTC7DkjoSe9QAutwezCoI0f8xabk4rROtSgkHFvVeIfqRVW+RWta7ej9kVIIPzeIruv/2Dr4U//H3odL8vurR/wSkh5t444Ih3LtoHzaXj4GxFh748lAUooXPdtbyydwRZEb2fP8uj49Fu2q4YaCcoS0fM83i4bLzT6dL0DE4WSo23tJUwTu1K5k35UHiN78GXa20Zp8G/U4hUCONVdPaxlvbGhkzMYXIqq1c0FbJxOxZuGRyorWhKOx2vh33Cc/tAbvHxeW57YxJCSJQ6UP+0m2SYnHNdoQaqa5D5vcSapC6f7wRg3CZ4tHXrAONGUPdrm5ycwjGLa+iOV7qcBX9PgIOiuUF6dWsK+vksRXlnJQdTr8oC9ct3M+5w4/eRagQRCheCVED8cx4EZ8lHgwx6INjuDbSw4zsUHB1EtO8AWPRBpj2JGx9FWHTCwSGZrFq5n106qP5NN/FHWur8YtwwchYEkM0KOVCr9SwIEAiLhKXz+tO64Q27ues/mdQGnsaDRFRrC0SyKvtIFyl4VBcM37djdwTNZz/nPkg+qp1GFY82N3SDyDu+wRV6UbS46/C7U3G6fHz6NomQifFcdrhxCAoEc5eSFflLqqa2yn0R1N2QMXVA86WiqO7T4oGe9QoSgKncDwmihtsvDrNwi3fWilrcZIUrOWxkX6CvA1sa4vGOPglcm1rMXYW4c+YgVypRvvxbHb40rhy9TKswVmEj57NR1uqyIo08cSMRELszXzS3PelbVmVkun+RQhZp8G7p0BQKoy7mVp1MvlVzUyYMIGHHnqICy+8kMjIyKN+pz8Ht956K1OnTv1bm4L+JIITExPDO++8w8yZM3nttddQKpW4XH3dfY/hl0MIjEXwCyiW34V30kMoVt0LXidoA+g88QWMShBLvsUZlIwmOP7Pnu4fgtSYYK6UuShp9aMjmgbbOt7ady5ThsxibsBYkgIiMGlEUkL6hpd/CHq9Dv0fzBH05mD8pihk7eV91glyJb6QLOQVa7uXeRKPR1O7qdd2iu2vsSt8JsbYHJJC/4Cq6L8x5DKBcakhfDJ3JO1dHs56dXOv9Q6P1MV0OMFRKWTcMMzAiA0XoWiT/LwyNz1G15D/4Im7B6VSRYA6gL3thZxuq2bWgKkEK42sbN3H/5l6Hig+P5g0Ss5a4mTxjLcwHPiQ+KJVkDYVRJFN7mgu/Fp6iF8/TE+mWIy+bDuyoGjESQ8iLLsVnyWesv7X0aCKISzQTJBcRsH0pbyxz8v+ej+z0i9karxApHXPUT68CmXNNpAp8MePZeNqiTjfODGOR74p44UT9IyWb8LTWs3IoUP5vNnMjJwIvthd1z1EbowFXUQA9lNeBVMYKnszqi0vI5hjEFOngMJI+rf3IStfDSmTpc+25lFo2CcN0LAP9eeXsGXcYh5eUdk97v/WlHHd8SlcOiaRF1f3eKadPzKeEGthr5oVAPm++aQERBNbtokHJ9yDqJLxZWMIF4Xlom7YCYCidjMBrlqUQRG9yA1IUVJtVx3D9t/PC/3v5uIdUpRtfrGMU44LpdfroiUGnzqcNm0LizZWUdZs48zpZxCsD0HYOx/REoeQOgX9oktJiB6HJ+USYlV+LBqRhelraNXGE9iZjz4/n7bxD3OL+kN2h13AzuALCNCoSTG5sCyYDcASR3+yxmUSN2wKdR1Opg+IZF9NB/ktIsEpp3GeNhqFTOgWNQXIDPRBQQn4PdLn9PvwlXzLd/WFlFkVTJgwgTvuuKPv9fAvxk8iODfddBPvvPMOEydO5Nlnn6WmpobZs2f/3nP7V0EbkoBr2JW4Uqcguu2I53yBx9WFXx+Gvm4r8k/OAJ8bjBF4T30dRcKoP3vKvzsUciWJsfFYxWZKWhycHnsFc5JmIALx+iiMpr9RaFZtQNb/NDBHQs32w5YbIWIA7uRpyIqWoapYjTvpBFwRwzC9d0LvMUQRn8fFvYvyeOmcQeg1x3y4fgyBejWIEuE5EvIjWnEFQWCAurab3ByCbsfLWAecizIqnbTANGYkzeCLki94p/xL5IKcJ8c/SZi+J3UYFWjh9MHR3LhwDznvwFdnX0lGxzrY/RG4rayIfBGAKwYZuLT5EbS7e4pbxUkP4jtzIV+2hHPz19W4vE7UCjcvnpPNdYv2deuxzGuAam809/ZLl5zVnT0t5+KIq3FV7cA95xPU0QN4/XwH9yzex5BQP3eOVHPi9kuRWWsBCOZFTOOfpSFyAilhRgoarGSEm4gJ1LGotI0LIo2E1+5CtuLunhOy5yO0I65GKF0p/R2UDJ3VPeTmECyxfFlo73PeN5S0kBKi58YT0nB6fQyPD0AhF/A5qvt+gXIV+H2oq9YzJKOC9rBYbvq8EHHEfRyXUYvOZ6VKHkt0YH9ii95FmHgPrJ7XWwMH0OJmcPHzBOmfp8XuJiXMcNRrwqhVYjZoueq4JDaUtDD14wompkxioAo2LJyPs3MelTY5l2YsZuxpYWx1RPPG/CUgCKjZzo2Xn4034iQevfxCgmJT2VF6JR2aKMadeSU3jQogwNnGnhYlS3bm0+Iq5NtKN4q9X7Dk+Fu5aGwKSz54hXntGhr9nxFUvZ50o5aS8koMSYOZPDmb8k4Zdz7yGe3ieKw+JZbjplK/6HEUfg+5ubm89dZb3HvvvYSEhHDTTTdhs9nw+Xxce+21jBgxgpNPPpmhQ4dSUFCAIAi8+OKL6HQ67r77burr62lrayMzM/Mfk6H5wTvkww8/3P3vlJQUnn32WUaOHElLSwtqtfoH9jyGXwJ1WDKESfozLo+PqhY78dadyPHhO/cL5LU7YeW9yJfciPfcRSiM/0xJ/iOh6mri1IEZB//69aHXPw2RA0AbCJZYSd5eEwDxoxBiR6KVySC6P3AjamD37n0MNsUg66zq3t0TPZzVTQbWFTdR2+kg5TAz1GP4fgQa1Pz3+BRuWtgT7TCqFWRH901Piv6jFJz7fd0pY4vawo1DbmR68nTane3EmmJJtvTWjKqurkSLm3mnZKFXK9na4SY6OAetYhEKnxuzQQ90MimoGW1e784dYe1jNJ/9DTd9Vd7t3u3y+tlbbe/jcP7BlhouNtUTN/lhqXbE1oA//ST2KHJJzpyDSS9F+calGfgkaiSBdeswGZq6yc0hxO98jM/ak5nQLwaNzMfS/EaGxmk5IclPoNaCbNkR5p72JgTvYXVwfq9Un6PU9oj9AdgaSY1Ws+SI05kWqudAg41vC5p4fHYOn+2oprjJzolZCZw86kEiN9zZs/HA8+DAYgAiFFZ85d+gU4Xy2Hc2HsMEmBiRaObV4aHQEA1f39CH3ByCyd2AxajE4/MzO8sMHhc050N7JWgsIMjwmqL4aIsNn18kI8LERaPjiTBpcH9dgK29hdePa6PcKueKNQGcOuBTXlgexaPnjyDruDP5Zkcpd7yxgP4TZpDX6OX6227H1OLiq0ev5KRUPV8U+zg34wKybY8xaPhoFlcp8Edmw16pff6jrVVMkstptrvwa3S0NTcQP2Mezw+P4taLZpK8ZyVzS9KYOW0Uz3cMo2r3RirzDiBEjSFBZSOjX//uz/q///2PkSNHcv7559PQ0MCZZ57JihUrsNvtTJs2jbvuuosbbriBtWvXkpOTw4ABA5g9ezYul4tRo0b9OwjO22+//b3rBEE4Fg77HaFWykkLN+HqUuGp3IK9vhzBHIVwzlJMC89AbCuH34DgOD0+bC4vAToVcmc7eOygDwPF39+k8S+JgFjpv/RpP7iZMSSGjcNeoH/1h5gbNtMaM4mWtDN5/t1azFolup9pOPlvx+SscCw6FZ/vrCEmUMtJ2ZGkhffVexLCMvAbI5BZe9I1jv5nownpKSC2qC0MDT+6TU1pWSmXLCyjtEXq7NMoZbx3fg7G5HHYIrIRXTYGtavQb2pEIzr6DuDqxOXs6iY3PwSVQobcY4UvrpOKzzVmxKihFCsgTaXttW2Q0oNorUXnP8rD32XDpAKFx8aI5A7yfJ+zvG0n726u54VBdzD2aIThUPlM2lQcEUPw+kS0M19FseQmyfEcEKOHMjWsjfcNKpptkrWFWavk9JxAlJpo7B6Bi9/e2i2ct6uqnaphY7np5NcwVa5CCEyA2p3QIokmqlxtJG59gXemvMpD29XkN7qYnBXGfyakYNAocRkiUQ86Hza/ctgEe+DQhnPtEB2ZGifR1Quh3QJfXy+RM0GAMTegKP6Wy0c/wMzPHXyxq5aZA6MYFuqjRBdEeoA0zwidD7dfwBWYSltrFZlJ8bhNUWhidDTV/B+fHbATHhFNcZsHm8tPQGAw20ubkBmDeds1ivOH34H4TQNHPn69PpFmu4uT+sfydakLnymCLRUdnDcyAa3cDye/QNl7FyG/4h7Kvm6A6AEACBVbKG/poqKjJz1XUlLCySdLavRhYWEYDAZaW6V0V2ZmpvQ5IiJwuVxYLBb27t3Lpk2bMBgMeDxHJ4h/R/zgXXLlypV/1DyO4SjwVu+iff8qvlCfw3v7vUQaZVyr9ZJ6+ucY/F0/PsCPIK+mg52Vbbi8fqaEtBK58iqEtjLErFMRxt9GjasDUfQTaUlApv1raOT8W5ARaaZUOYj9oWnocVJhl1NS4yBIr+L2qRlEBWh/fJBj6IZJq2RSZhiTMn+4C80YnoRt9sfIdn+ArmE7trRTEVOnolX/hPPtdbO1vBWPKJAYrKe02Y7T4+fFNRW8GBuGwRQABJBrcvHKOQNQuir7RD2cSVOoJQi1orGX3lOXy0dGuBERqG5zYHN5uW64iaj9r0sb2Bqk/5QaYgN0aI/0ZhNkYIpB5nOBQt2rMNkx6ArGm9oJO/Amlyut7Gnd373u4YK3GTbiStRrn+gZS2NGDMtESJuKV2VG+9mF0nKFGseM15A721EpZIiByaR9cwcLhs3mgDwVURNIeoCIUg0On5OSJl8fVeCPttYwIX0s3tA4xpQ/i7Z4CegC8Y69HcXu96CrhcEr5vBOyinYxp5BYFY26oONF0JwMt4tFSgyTkYsXIbg6/mMXpkaQR/CyS1vItTtxDd0bg+5Aen/G56FUdcStOF+hkbeweJ8K+98V8HV/SIpN4VLatbdRqsCvmFXEfbmDezvCqCqxM5/Hv+ItMhonjg5iP8rdHFqvIf/7fGjVsjQKOWEBWh5fJmTBZqBTDBtQdvoxA6IMiU4O5k+JJsVr+yn0KFjVEoia4slKwkR8AhqnD6RpLQMaisr0Kv0jFKV43XYUfeLoKq8q5fafVJSEtu2bSMzM5OGhgY6OzuxWCzSzI9IzX766acYjUbuv/9+KioqmD9//j/GofwHCU5UVNQfNY9jOAJFDVYirc187B/PkxvbAahshW1Vdj4+P4x+Ab8uRZhX28HDS/JZX9wMwOb0QC4e/wRq63bCArNYXrqIFwvex+v3ckHyacxOmE5YmKRkjd8PnbVSsZvXCSoDWI7ptfzWCDWq+XpvLSaNkqo2K+9tquS5M3MZnfLv0EP6s2CIzYHYHHxeN4bvEVbz+PzUtjsQkKT6ZTKBFqsdrSWcIfEKPF4/ZwyNZf62KkpandhcHjQq6QGkVasZlRqOzxuMqH0f4duHoKUYf9rJLDGdznOLynjo1DTu+qwQh8eHXiVndAbExNewo2E7p1hyyAoYTD9bJcKWHpsCMSAeT0g/ciOPooKr0iGqDQiLb4fj74WCpVKkJW0qmuhskj4+i7ox15Ffu7jXbtW2avblDCV38iMI+z+HwHiEyIEIdXsQc85AMf8wLTSvC/WKu1g/9j3ivRWENlegPO5OEhrzSPDtwi8qaVEM58kNdYxPMiAT+hbKy2UC9R1OUkIikRtPw9f/FDy6cBQdZVC3S9rI78VYsBBdxgnID+sqVQXG0jnxIWQ129AISuQV68DehF9jQeH3oGjLh+EXwO4PEDVmKbXWvbOBjpSZ+AIHELjjHQZlCiw+2DG+rlaGWLkZb+IkvLNG4bbbEFe/iK61gAfPHs79z75Jq/s9LF0e/u/aCRiWXYC6TcfQb04h+6QXOe1zGdEBOpDLePncQWwpa2H7knXMHhRNZ2QU2zun4tj1NpvLgrH5Vfhtbix6KYJ+6dhEYpRW5IJImcvEWSeO4NlP3iTKp2VdhxfHwDMRWtrQ79nMpjUruj/O5Zdfzu23386yZctwOp3cf//9KBRHf9yPGDGC66+/nu3bt6PVaomIiKCxsfGo2/7dIIh/E6q2fft2Bg0a9GdP43tx4MABMjIyfnzDn4DyZjtzXv6OT86I4uT3q2g/4i1n3vRUzhqR/Kv8Sl5aU8IjS3ob8102wcIm26P8J/M8bth8X6919+Rex6zsi6hvbKKisgKtrZzEuq8whKdA3W7IPRdSp4D8t0+d/Jbn9u+EptoKglt3QPla0IfijxvFTZt13HpSP0KNmt/kGP/Wc/tL4LJ34GxvpMJj5LM9zby3uRK5TOCqMdGcFVbNHmUOl72/q7v9WRDgjqkZuB12rjyh//eP21yJwtWKUxvB7d/U8sWuWuKDdDx+egoNnV3EBKp49cATrKle071PbsgAHh14E6HNpQi1O8AYhi9iMMr473eU9u/7DNnCC6SJxY4EfTCUr0cccwPCsttxxY3i1shoVtT39uR6etz/yCCUiKIPEAq/hqYCacXEe2DlfX2Os37KUuaXaRDdXdw8KRGNtx2Z10G9z8Kywk6eXVfDO7OjMQTHcPWHu6hp74lgnTs8jg3FzbR1ufl8RAlxG24FwHvycyi2vgb1uwEQU0+kZfQ9BMcece36PJD3OSy7VYpajbgG0euQslC6APz5X+Psfy7qqCwUr08ElxV79BhWJ9/KU9s9uHwicwebqXWqeH6t1P11Uv9wnh3poNPuxLLwNLq/3IOPTu+c91lsTWVKaBvad0/s1clVecLrfObI5rmVxXj9ImqFjAdmZGHWKMgIktHa0cnT37Wzs6q9W0tHp5Lz1Ok5iCKk2baRsPxC8HlwRo2kaNBdBHtqubcgnmVHONjfc1IGF45O5Nfin3RPOJbI/wsir7qFRquLTr8ak0bZh+BoVKpfTG78fpGGTifrCvtKtu+rELhw7KV8W7uqz7rPqlaSGTSTS9/ZTU2HC9ByVv8Lub5xPsEZ02Hjs5IaaHjWL5rXMfRFcN23CIuv7f5bbgjlsdPepLTL85sRnGP4YTS3tlPR1I5KqUDnbOLJrQ6iQ7y8uVGKnHh8Iv+3qpKEkyPYWN/cS9tFFGFtUTPzpv2wjIE6OBaIRQ+cOlBAIRNYfqCB976rY2R2Na0eUy9yA7CzaRcFjkbwm5CHDAdjBNrQTI6snKttaqbOBiIiA9RmZEjq3XkZl1JjdREyQEaKzkkUoK7YwFVZ86h1tbC/rRCVTMWl/a4iyZRAcEsBwoanuse1xU3CZ8niyMS1K2o4cl0gqwvLOXNQFGpPOx/vd/DEmjpAqs0ZHKUh3ixHYVLxf3Oy2VrWxr7aDjIjTByot1LaLHVeFckSOKTQo1jzCIy7RVJD7qii2ZJDoSuYI2OZYnMhwudX9ERnlt+JEJCAcMFXOOV6hKzT0esP1l7NeRc+u5ztqddx1dc9XWi3f+PguuNTul3hLxqTiCw2AF3lDila7bZJX25YP4gdgUKp4ZTODxC6VH3a1MsMuTz3ZQHeg4KTLq+f+xbv58Pz+9HVUove3UmqUcHqw4QC7z4xmUU7KnhE8RrGggXdyzU1GwnLKKQ1MosDa6wciZr2n6bo/m/CMYLzF8Qh9dVzPizhvmkpXLMgr3tdhEnDAHNfdc2fis1lLWwsbiYnxsKGkt7CcmlRIvtb9hFv6C38lWbJ4sLke3jim+KD5EbCB3utHD95BhMqPoOw/mBvBI4RnN8C7uYyVOuf7r3Q1oi8MY/grMF/ypz+bcivrOeq+fspaXaQFKJnWHwAnV55L22SQ1he7iE6WNdnucfrQ2/46ea1wxOCMAtdTM4IQo2XRNFLhezoRZ8CIgEZ49AcUW8jiiLlLTaarW5WHGhi4fZqQk1q7pucRP/JT/I5Y7j/zQJ8fhG5TODGEyOYedZCwuefQ/LKR3hp2uPsSIvG6TeSGxlPqFaLv71Matn2uXGH5vBW0H/5ZpWLNyc9S9DaO8HViSe0P3Uj7iXAYOSt8waS1rkBV7uS8UlJZFpC2FXvIsEo0j9MiVUeQFaAgUixDXVyEEv31bMqv7EXQVQLh5EFtw2/IRxBqQZEgg1qZIF9RU/tTZUY/L27zWgrA2sdmugjfjdJx+G6eDVfrqjnEPk6hLWFzbx09kDCzVrSI6TvTxaWiXjyMwhrHoPhcyXT1V0fIJSvRUibBqYoqQ7mMJLT6hS7yU33HN0+rA4XWrmRxzd1cvdIGcfFWGh0qwkKCECllDNipBnjV9s5EnKNyHPFbzAq7Rwqv+tdh5kba+mz/b8dxwjOXxDpYQb0KjltXW5e2VjFXSdl0GpzEaXoYJi8iDhl3xvpT0Ftexdf763j3U2VXDk+icwII/vrpDeBzEgdxoBS3i76iLePe4WPS7+gydmMRq5hStj1rD7gZntlW58xy7s0UgfHllcgLBOSjvtVn/0YJAiiD9x939LwujFojnW4/d5wub08+20ZJc1S+mRAjIVvC5vRqRRkRZrYVdXea/sMk5u0KH0fF+6zhsURoP/p9XJqpZwB/nz44nzKTniLdWImRp+N3NBcdjbu7N4uxZJCiiGqD7mxu7x8tLWChdtq6B9tYf42SWagxe7mzHfy+PiyqTz06q7ulyifX+TpZfX0uzCF0Au+QkTApoghSaEnJlDXrRXToI0ndMR/ENY/SVn6JTy1ohOfX2TammhuGzGftAARTVAMkWFhqFQH65bEGeidHZQ3+qnzCQyMaMePnEZtHP3DD8Z+vDaMKiPj00PIq+sx5MyO0JBm7YlaiUMvQ7A1ISy+qnuZ+bi7YOD5vbpJ6/0BJAsyEA/rQtNY8GqCqGySXgxjAnUo5VJ0xqEOxKDpe18L0KsYEh+I/rDfmkKtgX6n4dEGoazfCasfwRUzDn9AMLotL8PYm2HsLbDuCUmzTGUgKkCHSi7r1RVn0iqI8lRSr47H6lMybX4HmZEmHG47Lk8HCwfuIfzA2/iST0De+nKvebUFRLM270nOTRnChIw0vs1vRyWXcfm4GGIDf9lz4Z+MYwTnL4jUqCDeOG8Ab22qoabdgcbRwAWeZQSXLYcJdyFEZP+icVtsbr7YJWlgKASRR2dm0eny0eV1sq/zG97Mfxa5TM6+jgqeH/Ms5R2FmDRRPPC5A6PGS26shdUFvVNb8UYfbnUMKrcNSlbCkIt/9ec/BlCGJCMOuhhh7aM9C+VKxLCsf41dx5+JNqud9WU9D9zKVslxe21RM7MHR7OuqKm7AyjarOZ4fSkhBZ/w0hnX8eGOBpRygfNHxBNhVFPVYkWlUBBm/omdb+H98A26hB3yfty+QNLuee+ya9gZuoGN9ZsYHDqQcWHj6bDqiFTXw2GCl1vKm3jgy3zumpZBeICfAbHJPPJ1OZ1OLz6/SKvdzYx0PdMibQj4+bbJxNu7rbTaPciSpAjH0doFwiKicXhPRROWSacrFp9fak6o73Ry7TIpNfLs6THExxxWlC0IoLUwMA7ig7TUd4ajUcpIDOnRb3JpghGs7ciBJ+fksLe6nXSzlxEhLkK37oLgVEg5ATFuNLIP5/Sak2L1Q7RGjiHAENzdGbSm1YJm9DyiN9wppamUWmqOewrsPtaU1/D0t+XMGRLDJWMSCTNpsOg0jE8LZcG2aqwuKfKjkss4Y2hML3JzCKLLjqdoNQQnYjvlA2wtNVgVgThTrySp4kPMBgOMuhYCEvCp9Litzdw/I4v7v9xPl9uHSaPgyWnRNCsEthZU8uSQTt6rDGZVuYPhsQYuGaAh3BUOzrHINQbExOMQSr+VIkM5Z2MCQrQhvFv0FINDR/DftIn4cDMuwkj/6H4/7fr6F+EYwfmLYliEirgRCmo9EZhkDvQch2DUQf1eqc3zF0RKjBoFAXoVH16Yg9hahrZkKwalFnVUFjkxMxkdMwS9UkdqUAIKmYIocxpNbW10OvdR0GDj9qkZ1LQ50KnktNjdTEgJwK1WsNXpZhRAzPDf/Dz8m+HtNxuFWo+w6wNEYzgMvxJ39EiOVd/8/jAbtAyJNbKyUHq731rexl0nZbCnpoNnVxZxwch4zFoFMSYF/du+IWbD7YghGQzKqCT9pBzWl7Zx08I9eHx+LhyVQJBeSYhRw8ikILSq77/t2l1eHM1NqMMHUlTdk0I+55UG+kcO5IIRJ9Jsg/W1DZzdvwOxqQKhvRJihoAgUNrUxfNnp9Hg38wLhe+ikWuZd87lbNgTzvxtDeQabIzxPo12nSQBMjx8MDkT7yHK8uNv/w26RPJKO0lOSSHSbKO2o6fmI1CvIjbg+6/MQIOWQINE8Grau6hrc9Bsd5Nf1yHpffkcPLokn3MGGDl9z1XQWiwVQodmSMbDkbl9PLcQ/VTW1NJqaCU5IgiAnPhQLv00latHzieAdurEIIK8Ksa9N4Zpg64jYsapzJ1fQGqYkdmDJSqXFqbnxXMGsquqHa/Pz4CYAAZEH11E0+3zIZii8CEjYOFpHOpXa0s/k+LUSxhU9hJUbIAJd+PO+wpz+pU4ZF7ePT8Hj9tFpKOQ2E0X80TMC5xgaSR11TXcPfN1/qtYibF5J8qPt0NEDgw8H2/lVhh5LYqYIVJEqvAbQg98wb2nPsO1m+9nW+N3bGv8jtPjpxGpH/Oj39+/EccIzl8V+kDCZXmEt2+Eyu8gIF7qENj0Iig0uM5bgjp24M8aMj7YwKtnZaNs3EPC12eBR8rhesMH4DzpfwyJzum1vdlZhcZezqxBUTy3qoT+oUoMo+L4Zn8jg+ICmJIZwhPLi5gQpWVU5CDJj+YYfjMoQ1Mg9FoYdBGCQgUK9TFy81vA2SmJx6kMdOjjabG7KWuy02xzkRxmpF+kCa1axbUTksir30d9p/QgL2+08tHZydS0OVBqNEQGB5AcbobO6Xgyx1AvC6bFqaC61sYdn/XYFjy+rID7pmdx22d7eHL2AEanHEWg02mHrha8bY0EfzwD5EoCs97ttcne2k52lWu4KqqY8KJ7YHcL/uwzERJGSZIN8aNICzPQ4s3H0aFncthVtPsLueu7W3h89HOUN1kIql2LrKJH30xdv40pKRvw6FN/9LTFB+npSulHV0s5j8/O5rGlBeyuloqDb52SRr8g2Y+OUdFi55nlBSSGGnniG8lR/JFT+6NRymmwunh1q4/p464ibs1/JaIAoDuo/q0PAfthEWSVnkJXIJE2LzH2dtR6CzkxFu45ZQCvryuly6XhwjQvg/MfAU8XoZseIvbEAQxPDOKrPXXdBCfMrCPMrGNwXAByGagOb6f2eRCrtyGWrAKlHnncKJThqcjmn9vrcwXkf4gydgZt/S7EMvgi7F1OXtFdzrMf1AK16FVyXj89hajOndBRQ2C6GpXfAZnTUay4g8DW0p7B6naDo5WWgVej3v4yln29BXdHbX2fj8c/T2VnJWZtEHHGFEL/Jf6EPxfHCM5fGTIFODqgtRRKVuGf9Q6ujFkUOwy0tMmJkjeRHBncR7jph6DyOwjb9axEbjRm8oc/yjZHFO4CD4PsxWRaPCap+lcAAQAASURBVCgPLJLCuxEDUC+7nZNmLGJYbA7ryq28uFr6Ia4uaOKznTW8cU5/qlusMP59MEb8Xmfi341jlgy/HWp3wbLbqBr1KEVWM01l9URYNOhUMjaXt3LLp3t57sxcTs6JJDs+jLtP8nKg3tZtfDjl1WoeOqUfZ/frKcS3ygPY0ibw5PJ8PD4/aWF9v68vdtUwc0AUxY02+kdb6HR4CNApMWiUVNVsZW3DVja17mNkYBZjh5xP1IYXGGOsxaS10OmQUidymcDVmXZCF/Q4zMt2vYuo1CI0l0D8KMxaBR+uU/LVbimNGRuYzVUTHmR97VoemXImsg3P9pmbtmwFsjE3/KTTlxlpxhvWH5fXx1NzBtDpdGNWCSSEH0V75yjYVt7GjNxoduwvYOEJLhSiG4dJoMUukaNOp5d7CuK4acJbRDV+iyEoGnn8cCqcBkKnv4b262uRdZSDKZL8YY+ytEDDedFuxC4H6C0o5TKGJwZxoP5TPix8gevLvISLPq7V65hm70JjryE+KPyoXYhHi6xZq3aT32mkVjuD9566H7n9C16+dgpmV2efbQ2+TnSCGqHgWw5EX8Cz63tkOOxuHzd9Wc6rs2ZjccjY/91K+p8whLXVldS1OTh9wlnQeAD2fSLt4POwp8FNrqmv07tMpiIVFalZZ/ZavnnzZj766COeeuqpPvv8Vli7di1ff/01jzzyyO92jKOhqamJF154gXvvvfdn7XeM4PyVEZEt+aR0VOM//QMcbg9v7XHzxMZiRFGSgX/57FzGpf9000m9zI22Q5I+zxvxFGesMmB1WQErGeFGHj0pgWxHO2x+EeQqqs9YSVlpMZHJ/Xl7Y0Wvsdq6PBQ2OUkKkVEnwDF6cwx/aXgcsOYRaobew6v7ZbyzaRsAaoWM+2f0Y1q/cHZVtnPf4jyGJgQSZtKQEGzg670NfLWvDrkgcN6IOEanBOF2+yhpsUlqwyL896NdWF1eQoxqzLq+4oCRFi1dLi9RAVrOeW0Te2s6GRIfwDPTLdyz6ym2Nu8FYHXNOjaGDWFe+jQyNt7AgnGPs8mbglVmYXi4n5DGz/qMLeydD5PuB6CkycFXu3uKZitbnWzJNzF2QBoNTY3EhaRBYW93KE/iJApqWrCo/YQFBf+oz6BCLkMhl5EY+vOL3WvaHQwLsDK8/m7Uu3dIWjX9ZxM26C6+CDVQ2GhjdbmDNRUqbpl8NedkqZn7eRXrSsp484wUAk74kLr6WoqsKr7ZBmcOCyfCXY7a3BPN/qr0K14oeRmX4AME6pQK7g0OBCDVEEltWRcXjvrh1n2AluZGFlVZeHBJIT57G6qKFh59/jVMDS8ihvVHaNjbs7FchSk0DvWHJ4Lop+GEWX3Gq2pzUtoJnQGn8dWC07lnghlj2ePSylVfQPJEyJgO+YtxBmVy79dtvDZ1LIH6cGT2emk7pQ5x8MUI/7KXyZCQkJ9NbuAYwflrQ6WHuBE4xt2NRiajsNnN4xt68t5Oj58bP9nH4v+YCf+JBYyWkCgcGbPR7n2XFW2hWF2dpIYZmDUoht1V7by3q4XZA64hp3oXDdGTuHRxM/mNTj6M8WHWKrl0bCJ+UUQuCDTZ3AiCwK3br+D2YbcTYfh3/eiO4W+Gtkoo+oYDA55m0Z493D/WQLLWTpNXzYfbKrh2UjonZIXx8tpSnB6p1Tcj0sxjs7K5dHQcCjx4BTUNHU721XTy8JJ8qtsc3DE1vbtAtcnqItKswaxVdgu3aZQyZg2MZk9NOzct3NOta7W1vI1ya0c3uTmE1Q1bqUy5gKz8r0hbfQURM9/DEZ+F9sAChKN4LImWWIQA6YF9oK5v592uCheXjhuIum0feB0QP0YyewW8UUNY5BvJDS/vIClEz2MzFfSPDf7NC9kb27swu6uZG16A6NFSMP5FCttlqDRaQuRdRBV8zitDQlgr5rCvwUX/GAttdjcVXWqm50Tg8gl8nm9nzuBodNFBmFu6mB0K/XWtxARYEFT67mM9s+MZXP7e9TpOmYynwmN5LjSLh04NlJSFfwgtxRR3mHhoSSE+v4hi53ywNXHr3Q+yN1tPirk/p8foKcvbyr07Qnn5hae54OJLGRYSTIErBPue+yHhTFCoUez5DKGtEo1MpCDhHHYX1yC47fzfw/eTbdFS2innxgE23lj8HV+1JyFXDsJduRpLzmlc99ynmJ3D0bmaqW9q45Yrz2d8/GiWrvyW99+/reczP/PMUT/G5s2befXVV1EqlVRXVzN16lTmzp1LXV0dd911Fy6XC7VazQMPPEBERATvvvsuCxYsQKfTMXXqVM477zxKSkq4/fbb0Wq1aLVazGapA+7WW2+lsrISl8vFxRdfzNSpPSUK1dXVzJ07F4vFwtixYxk7dmy3gafFYmHevHns37+fl156CZlMRlNTE6effjpnn302W7Zs4fnnn5e+N6eTRx99FKVSyfXXX8/8+fM56aSTiI+PR6VS8eSTT/7g13iM4PzVYYmlK+kkNM1baHD0vek0WV1UN7VhdXpJOUpo/Eh4kFEfN4NYuYzWFoFZg6IZmxJMSZOd8hY7ebWdfLazltfPeAFrYwX5jVKdzhsbq7hjWgY3LdxDl1u6+aeGGZg5IIInw97HrOv4ocMew89BVwc07AVHi6StEZED8mOt4b8aaiOEpNPp8PD1KQoiO7ZJliOGUMYPT6NIdCECJ2dHEm7uSWHoXM1k5z3FvuxbWbSzlhP7RfBNXj2Kgy3UXZ7expgvfFvMZWMTMWiUtHe5USlkIMDA2ICDbdcCS/fVs7emA/EIYbhoYzQurwu/XAmGUKwjbkYeN4Iws5aOqFzoCoXw/lKzAUiddcfdjhCcAkBcUN8H94ikQLpsarIKX4W6zTDt/yD3bPyiSJ0sivdWS4SrpMnO/V8X8fxpEBPxw55dPxWdDjfF9R0EO8sQSpZSZBhCqzGRaz/J725VHxBjITd2AqfqKzhv48l45rxH9msHcHj8pAWmMzvTyKk5OcjlKlAoEb0ecow25B4r2sBoFEeYDtcfinYcgUa/g4z46B+esN8HNTtg/+c0h1zSrWHjzZmFcus7uHNmYVVux9+0BllCKIz6L77KbSh0ZrrcItNOnMJd2Vn899HXSQuq5LMiDz6XneAZt/HwcJFFKzdwyWVz2bf6C+4dWMOnpdKLaUG7giVVGl57+mqu2RPHng//j9MG1rCo3YHRbOHGhx7jpflLeP6zVYyffTnl5eW88soraLVa7r77btavX09Y2NG/s9raWhYtWoTb7WbMmDHMnTuXRx99lHPPPZdx48bx3Xff8cQTTzB37ly+/vpr5s2bR2ZmJhdccAGjR4/mmWee4ZprrmHUqFG88sorlJaWYrPZ2Lx5M598IqXUNmzY0Oe4TU1NfPLJJ6hUKubMmcO8efNITk5mwYIFvPbaa4wcOZKGhgY+//xz/H4/J598MlOmTKGoqIjHH3+csLAwXnrpJZYuXdptHArQ1dXFlVde2W0a+kM4RnD+BhAcjQj6EKI1dQiCspfORlygDrOrnjM/yuORU7M5/kfMBP1+kWV1OoYlXc7keLhn0X4Wbq9GLhOYMziaUKOGbwsaWV5sY2CQCegizKhm1uBYPthc0U1uAAobbOypbcKoVmHo0GJ0FRMYlfz7nIR/C6xNkLcQVt4v1UmZImHak5B24p89s78/zJEw4S7G6F2EbP8Mdr7Tsyp5IlljYigLDuHMIbGSgaMoQls5/o4a/KlTsDs8TB8QSlGjjcxIMxkRBrRqOavzW5icFcayPEk63+72IRME3t9UQXmLnQnpoYxKDOL8N7fQ5fHjF0UuG5OIWiFD8MrJDkjH7/dxR/QJRFfvRDBZ0IbkYj9/JcaQWGmCbhdmazmsuBdyz4LBFyMi4A1KQRkzBA56ZqWGGTg5O4LFeyThusRgPacPiSXcXYlOpYCZL8GSW8DWgAypJfyJia9wUpMZh8fH7uoOWt2yo7aK/1zYXV7217SzZG8tl4eVcHPNGIICA9mypaKb3IDkIn5ceijP5xt4NigTVcNeUsMz2F3VIenVGEI5/NVOUCip63CTkTHgqMcN14dTZ6876vIfRfVWeGsa+L1EnToHtULWy/TUpFHg8iqoipnO0ujBtLZaKWrfTrMQCAoNme6dUNFGtFhLfNWbmEOG448M5+KTZNjVIfzn7Om8sqMMtw/cUcOhVLKeKO2UkxPip1mXyMT0YMxjRkBnHdPTDCRSybb8CgYmhfP6SilCFxQUxC233IJer6e0tJQBA45+LgBSU1NRKBQoFAo0Gom4FxYW8vLLL/Paa68hiiJKpZLCwkJqa2u5++670ev1dHR0UFlZSVFREdnZkjTJwIEDKS0txWAwcNddd3HXXXdhs9mYPn16n+NGR0d3ayKVlJRw332SrYfH4yEhQYo45ubmdm+TkpJCZWUlYWFhPPTQQ+h0OhoaGhg4sG8zzaH9fwzHCM7fAEpbPdRuJDViEI8fb+Gu1VYcHh9hJjVPnWDGUL+Z9q44bly4m48uHd6tvHk0lDRaGR2n5av9DRQ1OShqlMSvfH6RD7dUccMJqXxb0IjXLxIXEUK4qY0HTunHnuqO7m0PR2lrCxOyVGw6YEDrFRl3zJ/116FxLyy/G4ZeBmqD9JBtPCDZYISm/9mz+/sj6XiCqr6TUjRjbpC0WmxNsOdjNLlVnDIwt1sEjpptiAe+RLb5JWSIBM9awcubRD7bWYNfFJmeE8HxmRbOGhbNltJ2nj49h+ImOzqlnIGxARQ0WDl7eCwDYy3IXZ08MT0BhUzArBaY+2k5N5yQxoFWFw/l3oCprZzATy/vmef2d1DNegMOEZzabXTuWMCW7Cf4olRJjEFkWlQXWZbobnIDMDg+CIVcYFp2BC6vnyiLll2VrXxVZeWOwEx0jfsl1/HDkLDrCWZlPsW7uzuIDdSh1xzdYPTnorDBSkuXh35BsN8TybdlNq6Mi+jlPXUIXp+fnfVurJlZBCp0tHd5yIrQExN8pBnEj+Pagddy78Z7cfp60vkauYZrB177A3sdxPa3um0esjbdxMMzXuaeLwux2kEuk3H/Kf146P++Jaa5g+06ge3rtqD1+PAao8HnQjAnQ0sJADJ7E0M8X7C0UkPQMDk7g87ho0f+S/X4B3D5RLb2uwt3/r1gzSchNob/1QexZFEb03L0rF6/iTGTTiSsKw9/YABOQUtJoxuZIGC1Wnn22WdZvXo1ABdeeOEPun8frQklMTGRiy66iIEDB1JSUsLWrVtJTEwkOTmZG264gczMTN566y1SU1NJTExk586djB07ln37pO7AxsZG8vLyeOGFF3C5XIwbN44ZM2b0MvSUyXq66hISEnj00UeJjIxk+/btNDVJ3XAHDhzA5/PhdrspLi4mLi6OuXPnsmLFCgwGA7fccstRP9vhY/8QjhGcvzjarHYMPhus/z9UAYmcNvFuBp0VR7tPRYSsnfDPT2bPqOfw+kXauzzUtju+l+DUNneg81l5aGUVcWGBbC3vKzlvdXpRK2SckqIga/dDvHDG/dzwyX58osi07HBeXVfO+NQQBseaWFHQQmSQhwpbBW5fDtvrvYz1OBGUx5qZfzE6qmH0dbDrfenfANoAiBx4jOD8BvAJcmSODuh3Gmx6QSo8DkiA4+8BkR5yY2/BX7sb2Yanpb8VGjY3q1iwvaR7rM931REe5EIbsJ2suPFsK27jy7113DMtg7KaOsqb7RQ2WBkeoeC8j4posbsBSArW8fa5WZS1w0mGQgxeDWx5vfdEPV14anbTYMgmumUjCDKWhV/GTUt7UsHv7lGwINhL+hENTANiAnup9QXolcwJLEH32Usw4uo+50Tm6uDEfuGcNCSZmnYn9W029CoZEQG/rnuv2ebC7xexyw14PQA2Npa0cHxGaHe0CySOqVbImZyowqJTIFpiuW5sGJmRRlIiA3/2caclTgOkWpx6ez3h+nCuHXht9/IfhLOnO0pZu5mZ3nNJOeNVtlQG8WGplmdXFNFkyURX8BGm5gomJ6bS4jMRG6QHmVJKb+WcArwPwMQoF9/VqzjntTzs3tu5KctO+jQ1N6wP5NMXHmTo8DG0ynOoP+VSig68ieyr/2PpaiVDsvrTbEpDZ6umSBGIySUnPNhCoF6FwWBg4MCBzJw5E51Oh8lkorGxkejoH0m/HYZbbrmFe++9F5fLhdPp5I477iA9PZ0RI0Zw2223IZfLyc7OJiwsjHvuuYfrrruO119/ncDAQNRqNSEhITQ1NXHKKaeg0+m46KKLvtetHODee+/llltuweeTMgAPPfQQjY2NeL1eLr30Utrb25k7dy6BgYHMmDGDOXPmYDKZCA4O/lXO5sfcxH8j/F4OrM2trZhLF6P88pq+K8fcSEuHlUdsJ7JgfxdapZyPLx9OdrTlqGNVNbbS1d7I5DdKGJUchM8vsqm0N8m59+RM0tQtDN44F2VrIXvOy2dLaSNLC62cPTKaobpWTAULMTZsoS3xZOqiB7PX205bUzoWXwtnZOp/c8PNf5K77Y+ibB3kfwmbX+q9fOD5cPIzv8pB/mj4V51bwFO7D2Xjbvj8yt4rwvvjn/E/ZBEHXb876xAXX4NQ9M3B9dlcofs/lu7vreQ9KC4Ac8KbROtSGGE+g0R/JWk77sfb/wyuyktjUnoIOytbeH9n79/Z1ROSGJ8WSty+F2iPnkDSd7chHHTKPoTGgdcxu2AcVw9UMT7JzPQPG3qJ6wE8PiOF2SN+XMOGLa/C1zfC8ffCqge7oxSegBT2TXqfrc0K5n3d09Z84cg4rhgVSVjQzycYh5Bf10lZs42SJjupgQou+2g/ANdMTGZ/bSer8hsJMaq5cGQCBXXtXJ0tkrj3SShajvXMRRiTR3zv2L/bdVu0HN7v3QHVNedjhn4MNpf0cI62qHnrjBSS449o4a7fC2+dBNlzwNYIBxaBXIVz5PWsN00nxeQmzrpDIkE7etKjvqxTeS/ovzyyupbHTs3msx01WAwqutw+gg1q3tvU0706NiWYR07LJtLyE1WxfwH+qHvCH9HWfiyC8xdHsMVCqzaWI28zYtwomuNP4ppl7XxX2YVCJnD3yZn0i/z+9JRW5kfASaBexcaSFu6alklJo50mm9RxcNqAUKYF1RPy8YmgD6P1gnUk7Xma7KpvOTN2Al2Wcwn87HzkHZUABFRvRZ0+C9noe3h0YzX3xu6EcuGYo/ivQUgGbHu97/KGfZKYm/y3SR/8WyHvaoDOoxSh1u/F4RXQA3hcknJsUAocIjidNeTEyVh6xG6JYbDPXk1B234y1BNJ23Y9NBWgqN7KM2d+is2o4c2tR5g/AsWNdlrsNQyMPo+7Fh5g2fGXEFt/WHRFkFFhGUZFSxc3Lu9ifVo0PrHvvI80cvxeBBx8GG97Q2opP7AI7M1sOm4hGyucvLWxqNfmb26sYEJaMGFBP234oyE51EBVWxeDYs20OTzcPiWV51eX8uzKYs4bHsunVwxHI/MjVm/lbD7FuHBht5GXUL8XfoDg/G6IGwlnfgQbngZkuIdfzfPFoXxwtoXyVgdKuUBqqJ6kuL76NIT3h4uWQd1OUJtxD7uSBpeKSI2LCa5qvAFp+D0ByHa+12s3ed6nnHrWRcimpLKpqJZp6QZig/TsbvT2Ip0gudPn13X+rgTnn4RjBOevDpkMMSgJ27h7Max/CHwe/IGJWMc/gDa8H9dO6WROh5OYAC39Ik0/mJsM0oJVp+a+MXquXurm8WUFnD08lkiTmqxQFVFCKyH1qwFoPn0xlsUXomiUcq76pgJ8UYO7yc0h6Ao+IXjwXB6KWEPkd4/B5Eegaqv0IA7vDz8xV3oMB2EIhuRJkHeE3km/046Rm1+Izvpy6jxabB6BQONgEoL61pKJAQl4FRq8ez/D31yI3xyHK20WxrxPkVnroKuFybp8FgRHUdosdRaGm1QkxTSxdH81CaYkzHJRenMHEP1o2ooolcUzM9NIXm1vYbj0CBPPrypiRr8BvD/Ji0lw4Jn6FIo9H+FSmilOvoBbNqoAKWJTXNPIf0ZFcteSsu4xtEo5GRGGn3YSInNh8EUSwVl+F2TMoG36m7z9VQ3pESYcHl+fXaraXWwobmJ4YnC36ebPgUIuY1JmOFWtXcSLXmLMalLCc5ALAiF6BamRgXS11mHccrvk+H04/qyuQZVeKuhPlKxwVEoNZ4R1sbemHbtMQXqYkdio76kLai2VfrcHFkHcKBQ5ZxBd8A7CjrdA9KOKHwO55/Q2Aj0IW2c7dy2SrpH3t8OZucFcMCKWo/FXp6fv/n9HDBs2jGHDhv2uxzhGcP4GCAqPxW2+lPaE4xBdNgiIJyBUyrcOT/zpr1hehRpj6z6OT0jis9PMlFkFAg1OsoKchHx1MV3GeJqHXkNw+sn4O2q6yc0hyI6iwYEgQ+lzELz1ETj1dRBEKF4OcjViSxFC9FAIiP1Vn/9fh8RxMPYm+O55KZUw6CLIOOXPntXfEtaWOvI7FZiaNpNR+SlqrQFP1qkI425DseZhaSOVHt/x9/Nlvp0YQUd2QzEqbQhP7laSmvkKuepqBET2uqK5b3oGVreTKmslHeIBXsn/HzJBxuyEK0hvywPHYc7Uoo8gsZWpruUU5J7AJ7vqUMplzBoUTX5dJ2FGDZmOnRhXnS1tr9BA8iQOpP2XU+c3IIo96ShlVyOTTGCcmcT83a3EmJXMHhhBZuxPFPnUh8CkByD3XLwuG56OBsrsGhweH01WF7GBOipbu7o31yhlmHVK5n2dz0On9GNA7E9TKj4aYg66XEcc5VZlDI7ENupWDF8eVmCtC0QM/2WGwr8ZDqsjjA3SEXuU9vtecFql7rRDEb/2KoTIXITtb/RsU74ORl4DIenQdFhkJudMlEFx3DDOy1Nr6/CL8NGuZs4ZHEa/SBP7DiPH4SYNKWE/kdT+ADrbmnF21ONVmggKjUKt/G11j/4qOEZw/iZQaQ2o4gf8qjFa7G7Cdr6HtmI96ZdvIbf4KyjfDksWgehH11qKM/s80FoQ5CoQBDrH3o8/MAm5144mKBZv1FAUNVu6x+zKvgBN8dcQM1QiN59d0Z3fF6IGIY4zIRwjOD8P5mgYfzsMOEsK2VviQH7sp/pLUNslI6B5MynLz+9eJt/zIeLJz+E56xMEZxuiLpQGZQyL1jWQGRpMTr/Z2D1ulu1v5O1OJ3Dojd3GJWOaOT49hPjQcIraO7nBfAtxhgQSBQuRxQsl12e/D3LOgtJvUesTsGx9mJvGGMk+aQp1Vg/f7G+gpMnGggv6ofv2ME8jrxPyF5MeMwaTJp6OgxYNZ/Y3kuVYjSV+PKfEp3F8jhe5TPhB086jQm2AqIF43T46Qxx4mlzMyIniri/2ccuUdOZvqyK/3kqURcu8E2NZW9FKXm0ndR1OckTxZ1nC/CwkT8Q662MUJcvxG8LxJ47DmPDXrbc8KtrKusmNP2IQxdM+ornLT83kbURrXQzYfhvaqrWw7kk44SHY/iZUb4GTn0Xc9ibBH5zAf8JzuPyi2xj5sYdmmxtfew1PzcrilQ1VbChuJjvawiVjEn6S3tkPwVq2He13T2AqW41fF0rTcY8hTxxLsOmfl/Y6dtf8F0EQRXB1SASktVQKVcuVUshUECDxOPRGMzVZl6PUGqk/7TO0hYuwrLlLGkBjxnfKK3TV56Oo34E7YRKYo9DVbYIpj8Fnl3WTGwBqtkNrGc6SDWhCEiRNl78hyuqa+PZAI3a8ZMUJhBl0pIck/aKw/U+GTAaBib/f+P8Q1LZ34XD7iAvSo5D3TYe6vCLpBW/0Xuj3ItTuQGmOkrSGWksIb/6AG4ZcSqbBjqGtGFdLNTnhU7uNNg8hJkCHSilnX7mScE0KH26oJSfeSHOwAnPyzZgH3EuipwSjQY/8jeNRZcwBbQCh625nSv8K8gInkpqtISpuAOlGF3J3X+VhjbuNz688m1a7G71aRoTKhVmXA1qJaBk0vy5909FpZW+Ti/21HRjVCh6flc3H26qYnBXG9ZNSSfKVkrjrRty5z7FolxoEcHn9aH6nt3yDJQQsU6DflN9l/D8GcjjjQ2yCjo2eVL5YU41KISMz0sRjX9VzwZB5XOK5FrXWDGsfhehh+MbegvyzSxEORnOEqk2oPruQJXM+5pqVXcSXvIsp+hoeOqUfjVYngXo1OvWve2TXt9ZTKlNRkX02ukGXkKCLJnvBTKr1H4Ip58cH+JvhGMH5F8FssuDLPR9F7U60bQWIUx5DsNaAxgLGcNj1PuoPZhIWkkXnuPtx+0TMew57ODg7kH97P7qoweDuRNG6nw6PR9KOiMyF9oo+xxT8bjSfXYSn/5koJ96O1SNQ1GilrcuDUa0gJcxAgP6HvW/+TDS2d3HN/DymD1OxueUVXlm/nWBtMDcOupGcgMFEB/42iq9YG6AxD1x2CEmFkLTfZtx/KDodbr4rauDhZUXUd7qYnRvJpeOScHr8yAUIMWkwaVWYtAqJ2B8JQYDCZVD5HQCK/rPpL5Sidoqw/B7UPjf/mTSazdXKbmuFwXEBRJo12Bxuoowyzn2nkMvHJvFtQSMvr5GISlKInlumpJEpeIma+Sq6A4voOukldEv/S8jelxlv+BzrlOdQyUpQBwxBzD0PYeW9PfNSatkfdzb/99V+NpW2khtj4crxSWRr1PwWlquujkbK2gXuX5xH5cGi2fNGxDN7UDQdHZ3Etn5H0urLIHEcqQYnN09JQw6/G7n5PdHc2oKty4lOrSI4KOgna6f8LPi8iPV7Eao3w6oH2TTuMy5btLN7tUG0seBkNUVNddSPeZi4ji3wzZ1UJcwmtLMeeVPvImK6Wgl0lDEvpQPTxgUw9FxUSjnRgXp+DdxePyX1bdS4K1lQ/DZmZSg7mtcRpA7l1tmfEFpXABwjOMfwN4ZGqaA55jgCZr+DULgE2e4PpRX9ZyPu+wShQaq5UTTlEbjofLpmHK2bJw/G3gKN+xDkKhYxnohJExhZ+Qn6jBmS8d/hCIinLvkMdirHUbm6iIzYEOZvq2RUqpY2l4jVZWZATAhBhr+mdk5RXQuhAQrWtLzC7ubtADQ7mrl9w+28OPFFovkNCE5HNXx6OVSsl/5W6uC8zyHm9y3A+zsjv7KBuR/uIcSo5vqJKeTEWrjj8zy2lbeRG2vhmgnJRFk0xAXq6Rx8BebKtT07y+QQ1h+2vNKzbO8C1NFDAR34JL2a/msu5Yvht1OiSIHwfmhVSpQyEYdHZE+tDZNWidvnJ7++JwpT0mRnTWEzpuwItMGDCTphKDqFlvZzluLtaMAlN7K93ovCH8xovwJT8vFgiYXOavA4aYw9kbkLi6hslcTwNpS0UNxk49kzchmW+Ot/I1Z7F098U9k9vscn8vr6Mm6fms5Mz1JCVt8HMgWerDnIPVY0Ch2Job++5uOPxt6SSuYtr2BTRSeDoo3cOTmedHk9MqUKVfSA3+5ANdsQ7E2w9DYcSSfy4s6eiN9jx+mZXvkgmk+/Ix7wZM3CnzMb5xmfcu9agediFCBT9I56AzKVHodcxDH2DrRF30D8qF81Rb9fZPGuahRKH27kdFacwYE2L+MzJqGy7KTQWkxM4E/X0Pk74RjB+SfA74eKDVC8AlydUhdO7CjQ9a32Dw6PB3s5HCI3AAHxCHsX9N7QbUPm7t35AUDMCNj1npRvDk5l2qTRjP+gk+dnz2ZUZjsKrxMhfzHogmHCnXRU7ef2xvF8u6mL4zO6kKlaGZGsZ/7mZrQqgZmD/dR0uAnCBIaQvsf7k+EXRbJi4c2K7Ucs91NlrfptDlK9HR9QM/NzEORE730B2Yr74ayPpbqJY+iDDo+cjy4dTn2nk701HawtbCYnxsKm0hY2lrRQ3GjjzQsGIwQZkMUOo2vOfLS730KQySFzBqx/us+YPkcnPm0YrqHX43d0ElD8CXEbb6drynyu+LKAitYuZAJcMjqBrEgDURYtJU19O7Ly662cPTSWVruXoEjJI6qkpZUPdrXj87tZcaABm6uKby6IxbD9QWRFB5vPw7MpDT+Tytbe11VDp4uSJhtxJkns7ZfC2t6Ktb2JEJOeq44LI6+mgzVFTYii9IavCEqkftjtlOlz2dUaxfSwQBLUcpJDf4vY0R+HmtpqrlhQ3K2YvK3KyiUfFbDw3FTiq7/GJxOwaSMxmYNweTxofsQ9/Xtha4TG/YAIoh9RkHdbUERZtBzn+hZNzXfdmyvzFkJQPESO4vxhMaxt8zJ5+JUIG5/t3kbMmE6TMoqTvqnljhNPZlqKn59YRn5U+Hx+9tW2I8gEwk1aLnijqbtj7p0NXcwclEtiYB1u80+zPvi74RjB+SegciN8dCa4Dr5Jbn8TZr0FWaccfXvXEcTF7wOlVlJ1PQyiNoDWUXcTuOlh8HkQAxMRMk+Gb+4EQGguJGj/O2w49wIUYiVsW4DfHIPvzE/xeV1ov7ySsuPeQd+sJ8zkY2BsAGYd3LKwoPsYm0o7ePrsePp5GpHpAqW3698R9vYWiho6aLR5iAkykBwT0aNeexQkhwewpa6eIE0QLc6WXuuMqt/mxt+oCOet4Ad4bX4DggBXDL+Jc0PLCHbbjhGco2B3ZRt7aq3oVXYeWVrYvTzKouXCUQm8sraURquLqjYHWVEWjJZgsEzGETdKqj3rrEJjjumOWB6CNyyHrf5UXq0No7y1iytHnM8k53Ke2G+iolUS6vOL8Mq6Ml48eyDtXR7GpYawuqC3+N+o5CCUcvB6pTfz9i43W8pb2VzWikImcNnYRLaUt2Ko39xDbgDq92B01iEIcGRWTSmX4fT2beX+OehweWjy6qhoaWVpXj2D4wK4Y2oGjy0tICXUyMVrQihu1tLp8KBWVHJ8Rjie1nKIC/1Vx/2jUdtq62MHEa4XCO3cC3s+Rr7tdYy551MaPJ5Py5QkhRqwaBUEG9X4fCIxFg1WhxOjRolasOPzdqES9OiOTEe7bODzSB1qggxd2TdcMfpS5tbAgAgVIbUr+06uuRhFl5WxajU+pxWx3yyE8H6IbZVgCMMRkM6I12rxi/Dw0iLSLhzyiwlOcUMrJW0tdLk9aJQWalqcfeQAFu9sZ9bgATTYBSL/eu+XvxrHREr+CShd20NuQLo7bvqflE46GoKSpZqbQ8j7DHH4Vb23SZ+GdvvLKAQftXOWUX7qYnxjbpbM/g7TcRDK12J2VKGfPwvlzreQb3oB1Qcz6WqtJ2/WWp7LU5FX28mJ/SIYmRTIh5t6i5WJImwqttKgMEjt5e6+PjW/Fbqaq3h9QxmnvHmAyxYUM+3lXSzZWfaD+0QEGjklPYGr+t+MTOj5uYyLHkeMIf43mdeaFjMvbqjD7fPj8vp5Zn0DGzxpUhTsGHqhvKmTshY7KaEGXl1X3mtdTbsDnaqHIB/+bwCt3oA2JpvKwNFUD7gOv+WgWJsgUDz9C54qCefBb8oJMWmYPSiGO5dWkxd3DhvK2vvMo9XaxYOnZJERLplbHsLxGaEclxpCSrgZlUqFy+Nj+f4GHl1agFwmMDwxiF1V7ZzUPxxz0/Y+4yYVvcGFI3uLyE3PiSTEoP7VtWql7XDJZ9Xsr+tEFGFreRsfbK7kgZNTAT87qtrpPNi5JZcJ+PwOon6BF9SfDb1ayZH1//cPdqH75Gyo3QnNRciW30l8yzoaOp08v6qYkuYu/vvRbj7fVcfL68v578I81tbsZElFGXevaOD094t4Y20B5bUN5JWU8/WWA2yoE6mPngIdtTDhLhB9jCl5ktenGdFr9diiRvedXGACclcnXcE5yHe9T+vuJexuUVAQdwYX7Eoj85UmfAdvr16/SOtBe4+fA6fHR21bC1taVvHY3it4qfA6UOcRoXWjVvR+5OvVCvxePWb9n6Q79DvjWATnnwBvV++/ZQoISoKCpeDogOghoDjsAg7LxHvaW/jXPI6qdgv2gAxKAycRPWc05ubtyES/pJyb/xWmouW0jTLxcFUW/0tv6a5P6EbMCClUe0T0J2j7M+QZRrIyvxmAsmY7wxMD0Kr7cmqdSoHa54eS1aC2QNzw3+Ck9EVRk50n1/V44PhFuGNxManhZtKjv59MJEWFEGgZSazlFco6yzCqjMQa4ukf+usVm51OF+MtTeTNbMajCuCzhmDuW93G4kIbMwa7+raHd7WCs0N6a/yXRXc6u1w02jzYXT6SQgzYXH0Vgv0HQx+zBkYRe1B/pbiulap2N0q5QKBeyWtrS+kXFcTkqW+isdfiCs7k5sX17KiURCwLG2wkheiZMziaNYXNDIy1sLGkt9WCUafB5ewiwazmkqFhnDkkCqVcTrrRibF+FezoIsEYSXudk/nbOrhoVDxdbh8r8xuJsmhRyeUoYodC3ge9xlUHRnFGRhQ5MQGUNtsJ0CqJC9ITqgOz8Zd/322tjdR0OLsJzCGUNttJDFRz1YLe0azzRgUTopcTpP8tfMX/WERYDFwzKoSn10uRtRCjmlTr+j7byXe9y8D0YSSERPPw1weIDtDh8fl5+7tKbp2hp9rawOvLAuhwSEXme2s6qBwRy5byNvbXSS+Up2UHctPYqYR37IM576JzWRmm15CREIjonY1Y8S1C88FC4tgR4LYjj+yHSmdi/4nzuepbkbIWBwrZXs4eHotXFNlQLEWKdSr5z1YsPlDbTnFTF2Ut7QiqMGYlXI7ojOGFpR6U8kZunpzGot217K6WPM0uHh2P2+cj7B/YIg7HCM4/A4nj4bsXpMhK5EApNVW4HNQm8Nihbi/I5RDZUyWviB+BM+B/NLS1UuNQ0SrqWVpQyk0V7/TphlK7WpidoUMmU0LGdEmpE6Q25qzpkrfKkRAEhgZYOTDHjksbwiv5Woob7cweHMWm0rbuELxGKWN8ahiBbeuh4CuJjP1OaOmw91lmdXnZWmklLMD4g2/IAXoLw/TDGBb52xX+enx+FMVfE/LpJd2Fhuenn4z++LnUOJS9lIvdXh9Cwz6Un18OTQcgcQJMfgjCMn+z+fzVUdbSRYfDw8aSFj7bWc3pg6N5Z1OPsrZGKaN/mI5nzxhAlEVDi91Ni62ZJ5YX811JC5EWDRePSmByRjAZbauI+uRuWhJnsNnbjx2V7b2OVdJk54pxSXh9IhPTQylq3E2TVbI0mZkbydd761mWV0+IQc3/zsllRFwgQuMBeG8OdEg1NDJTJAEzX2NgbAB1HS4W7a4FoMnqYn9tJ6PPSiY0+Xipdg4QowYj5JxFanAAKREWaprb8Hj9BOpVmE3fb8HyUyC31mPW9s1BqOQyUMPN0zXsrTRQ0yIyMFHG6Hg9QZaIo4z010dASBin57oZEmumtsNNdIAGbdvePtuJGgu1dhHUPvwijE8L4YtdtSjlAl1COXJ3Ah2O3jVWH2yp5pIxCd0E55M9rUzvF0p4+Urc8eP5pGsIt32wH2ji9hPTmXDiu8Q5C1E4mxG62qQXzW1v4kqcwqP1J1PWIpEZr1/k7Y0V3HpiGhuKWwjQKXlgRj/6RR49Dd7p6qSovYg2ZxuxxliSLElUNlulCNTaUgAUMoE7pw3m3i8PdO+3q6qDZ2dnUlQhMiA2AJfaQHyIGv2vbD//q+Kf+an+bYgbC2d+DN89B+knw6oH4LjbpAhO3qeQNhWiBoExEow9NzmNOQyNOYwwYHlePQv2d3Fu7lmEb3m4Z2xBQJM8hlF5b0DZN/hyzsZ35kIcDgdqWzWapkJQGSSJc3cPgRCHzaWhdC81unSsBGEyeQgyKBH9cp6YncXOqnZ0ShkjkgLJNvph90rorO2dOvuNER2gQSWX4fb1pNiiLFryG2yk1FsZnvTHtqt31Rdj/ub2Xl0UsvzFTDvlVKotg0GhxOrwsL64mTc3lGFQ+Lkk52GG7LgZZekq+PwKOPcL0P1yldm/G578ppADB7uWkkONXDomgVX5jSSYZczN9JCoq+O0z+2UNnfRL9JEvygz28pbuWlyKjaXj60VbVjSg9HYa8DjYHPILCo6PEc9Vm27g2dWFnHLlDTmndKPwkYbOpWc+CA9rxx8iDTZXCzYVsPASB1C3qfd5AaAzlq8RcsZnjiXy97tnY5y+/xsrPNxiiDgm/wI3qB01NE5oJNc5wRBIDrklxtdHg67w4m2vYCGDjWzB0WzYHt197qrjkskwAAxLXWkZEfi9XsJUgcSF5Lymxz7z0JEVAwRUdK/3bY2ZPrBkhyGs11aKMjwDv8PL73fyNXHSeSx0+ElUK/C5vKiFDSIQl95AYVcQCkXOG1gFF1uH6vyGyWX+H0LUO14i7HnbiAtVM9l45JYsL2aeUtaAYFJGVncOMJI2gfSC1JbvwQ2HBEVBDAp/Lx30RBMWiXZMUf/XXe4Onh6x9MsLFwozUlQsGDi/6izJ/HmhnIAhicZmDpIhlcsYu7xFt5fb6PTKd1nvt1fw1O+R+hQX0lDeCBJQb/CcOwvjmME558ApQpSTwClATY9D0MvhdWPSj9mQSa5U7dXQXhOL4JzOFJC9ZycE8kHjuGcO+g6QvLeAI0F14lPY1r3ALJqSb1YvuEp5Lve5aOsNymxh3Bj8GaMW59BnPwIvro90FmLvN9MWrQJtGJnb1cADy/rMfIbHBfANROSGBLpJULWSvqO+zCFREPWqVJbdPDv52IbZdHw9Glp3PlVCa12NzGBWi4alcBjSwsYl/o7V9i1lkmaK20Vkupz9BDUPqtE6o6A1t1KWryk/ryuqJkrP+iJkK0ugflT72fwyjOgbrf0QP2XEJzqNkc3uQH4aGsVwQYVr8xOIdW1B6c2kuM/bJMeOED/aDPf5DVw8ehEPthUSc1BJ+6l++qZO/ZUrh1oZ029mip7KydkhvHN/p705cikIA7UW/GL8MjSAv57fCpPLZcKmhUygWfOyOW7Uuntu6DBisPjR1/bo39yCPK6HZRq7Zi1SpptvdO76oBIWqOvxR+YRHDo7yeCKe+oQGmtYqhMzW5fDHeflIHD40ejkDE4XsuMZ3bzzrRIctoaeaczlzlDYhH+QcrZKkMAGMbAmR/ir9wEbju+mBFs8mUwI6eJDoeHpBA93+yv55qJKTy6NB+PIxqlroJoSzjV7T2t3xeNikcpl7GptBWDWsH1k1JJCdPQNOszQurWEOWu4KXTsvim3M2m0h4Cs/xAIzEBGu6KGIhQtwOzRsGAaCPbKns3fESaFIxO/eGi7qK2om5yA+AVvUR21FMmxuP2+ZmYZSAoeg2PH+yMNalM3DB9Hg9+YsfjEwlQiziCR/Fe5w6mRv5+EfO/Av70q9hqtXLdddfhcDhQKpU8/vjjhIT8A8u5/wiYwkGhljqRnO2QNRNCM6SHqCEMjqKaegjxIUYuGhlHWUsIe33ppOWcy0c76hlQY2di9ZbeG9ubGRnmwtzqpTNuEiRNQFa1CX3tNlBoEGVKAjc+QFf6hTzzbe/anG0VbXQ6PYwteZyA/I+khQXAuFtg8KVg+G3eWo8GfVgSI8QqLhsTj83tp8nq4tGl+YgixAcfJqTl7JTSQ8rfSJunoxo+PkeqazoI28RHqI48gbTYEQiVPa2kCAJ+SwIypGLBV9aV9BrKL8LKRgODTZFSLc6/pA6npMFKTbuzT4dRs81Np6jFkD2dLzZV0GLvISlVrQ6SQg2EmzXd5OYQ3thYyYlnnUdarZuPV9Qwe3A0V09IprzZTnqECafHx3OrigG626gPwesXqWixo5QLeA6msPRaLaRP6043HYItZQavrynjvBHxPLm8p+MrNcxAtsVDYNKYX3Q+RFGkxe5Gp5Kjs9dC2VpoLcEXmklD6Bg6/Fo8fj8mlYzo9lJoKSWrYw3/jZhKgScFhVJDSkwoN31dit3tQ6Ez4TEbOCM9Ft3PtYD4uyBuJLK4kYDUXTMGGJAQQn6djUmZYdS0OxFFkdfOG0xxo5WMIDOj5mjZfqCRwjY/E6P9eCwGrv5od/eQDy/J58OzEgnefh9UbEAMSiLuxCcobugbFdlc3o4r7Tg0wYkYTQHcPimWiz8soO2gkOQ5g0NIDvkRzyvo080pIKDpaiM4RMXAWAuDUzp5saBH9qPT3cmi6hc5od81rMjr5KTsCL5xBpEVkE1C0N+rQ+7n4k+/kj/99FNSU1O5+eabmT9/Pq+//jq33nrrnz2tvyeUeqn+pjEfogdLD+lv5/Wsr90JAQlgPvrbYlSgnqiDiplNnU7CwhW4HGV9xaiOu52EvBdJLl0F20x4x9+B4sBCafygZARbHUJEf9xeP13uvq2thY12ljnP5Z5MNcH735YW7pkP6SfRIIr4WotQdLUgM8USeFjd0G+BgPAYJvpbeXx5Mcvzm0gNM3LfyZmkhBrAWo+veCUFDjPFnmBMAaFkxkcQ+msL8Or39SI3AIb189g9KJuwUXdi8d+LUL0VdEH4J9yFKzANBSAAOmXfn6hGjtSeOnme9H3+C+Dx+9lW0cIpA6L4bGdN9/IpWeGEmaTUYrhZgyCAQaXgotHSeQk1qlEq+lpq+EWRTq+c0cY6EoP1LNhWjVohIz3cyOD4QB5f1iNlIJcJaJUyjGoFVpcXQYDoAC1jU4IJNWkYnxIkWWsknwBDLpVkGgD6z8YaOZrWrlJWHmjg5slptNjdxARoGRZrICr0511Xfr9IXYeDvTUd1LQ78PlFopRWpu79L26ZjvaBV9JqyGbxjhZ211iZkB5KTrSJWEEhaVf1n0O8qp14cTOIalZXDmJzmY0TM0OIDAlEG/73Kyj+tTBqVAxJ6PtSNTFDagl3ur0kyOyo8z/H2yUwc3tfJ+/NZa2MiBoMFRsQWkoQPr2YC6d9wYIjShNHJgYhTzke2opg+1vkjr+d+RdmUd1qw6BVkxhiISjA8qNzjjXGIiAgHjQ/DtOHgTkKVXsxV45Ppty1ps8+hW37uXCwidzoCGKrFpEc3w9j7O/TzPFXwp9OcFJTUyktlfLZNpsNheL7p3TgwIHvXfdnw+l0/unzEwSBNGMkgiCTfGuWHkEUi75BbMijtNmB2+1GLpcjCEK3XseRGB1pxCVk4PZci2rj/0kLIwci1uchL10l/e3qRLHsFph4N1RvhaTjobkItr1OVPwkJqdcw7KinsjRodbdxfkdzJ58ImN5W0qjJR2HT6FFVriYsKW3S8aDaiP2Gf9Dpc78zc/tjaNDuHpMFEp84G6muLiN+Jov+E4xhIu+tuP1twAtjEis4/YJsSg8fQXdfioSHB30igUZw2HYFcyU7aWrWU3D2EcQ3FY6fBrqlHGENnVIhcTAhSOi2Vja88amVsgYlxKMPeNVmmThOPKPkHr/mfgrXLc/BVq9iZzoAPbVdHDDCak0droIMaoYlhCE3O9mX3kd4SYtt0xJl1JIK4qwHuyyeur0HAL1qu6W28wIExeOiscSaETT2crDMxKo7PRQ3ero7sIKNqhotkkRknnTUxliW82J02MoEtKwi2rautx0OrxMS5VjknWxscSHgIa4oXcQnHkaMr+HLmUQLq+SV88bzCc7qllX1MyMAZGkhxvA1sCBn3hJCYJAhBE6/RpWV4s0WKV236bWDmZn2XEPvAhCMnA31HPhR4XUd0rF0BtKWrhgZDyxA5MJHTYXNr3YPaZz2DUUKAN5cEYsaWF62jrbaW77618Hh/BHXrdyuRbTkGvx+TyEVBZS0lv2iEC1AM7DXOS7WomVNTIxPYSV+dLGA2LMTM4KReGuxA/4xtxEucuC19tJuArwOWisd9BYX/ej85EpZMwbMY9HdzxKu6udCF0EPj/EC3W8ttPPuIF9i8OHBueQhI29HSJBxW9ii32O/O+5d/xV7wkZGT+/fOEPJTgLFizg7bff7rXs7rvvZsOGDUydOpWOjg7ef//9793/l3zAPwoHDhz4a8zP55UiKQp1X7UwQKjbQWKYB3QBUtTA2S7VviSMlcT+jgKnMAMxLBVPWzXOsIGYPj2770buLsnfxxgumckB2vLl3DZ6EpH6TBYXO0kL1XPe8Bju+VJ6O272aqROrCGXQPEKZJ9fRkjOWTDgHNj2Gris6BdfTcA5ywhM+p3PbWcdbflt3Jvvw+vvOW/flbbTOCaZib/mu20Sehdhj7sVltyMyudGBaCxsGvie8z5vJ13L0wkI7nnWIkeHx9fpmVpXj0GtYJJmWFkR1uADH6dO42Ev8x1exB2lxe/tR6F34EqKBG5vEfLZry8A61SztJ9dVIEJTWYB7/aT32Hi4tHJzAs2s/AMDm7Gn1cNi6RnZXtrMpv5MEvD/DknBwW766lX6SZfbUd3L94P7FBOq6ZkIzGJ2J3enlmpVQrZtIouGlyGlqVnESdi9zls6lKPZfrdsvYUydduyFGNRePSuD6RfncPDmNl9bmYXN6OWVAFOePSCcnIYDO6ipa3F4sGh/zZvRDEECjUhx05e4bNajrcCAgEG7uocNOjxdHYzmG/I9ZYTyD+xYXdF+fN4yLQr35WVRDzoUtL1IQej71nb07Bd/fXMG0/kMJjciGEx8HRFDpkQdlMDswBblcjlmrBP5eqYo/67q9fIyTrZUd3YrFgXoVw2PU8MWnPRvJ5Gj0Fu6ZEse5w+NotruJsWhIDTdR3pRJoTUeWZtAToSaYLUambNV0ryy/HS7hDTSGBQ5CKvHSrguHGVLCV53DdePsLCrQ+TC9P/wbuFLeP1eYgzR3BQ+jujK5ZwTmIkQOwxjXC4ZmqN3aP3V7gm/Bn8owZk9ezazZ8/utew///kPl1xyCWeccQb5+flcffXVLF68+I+c1j8LcgXEDJGiKBG5UHdY4aMpCrpaEOr3SGF062Gie6e9Dv1nHXVITXQOROfgd3mwtTVjCElHVts7/iqq9JKpoa0OFJpuXZz49TdzZ3AGc099HMO2Z9Gt3Itl3HOc+SXEhwdDxJ3wySUg+hFAajk/6ekeQuBoQ2avB35n80m5ki5TCpVtzj6r2n6B2FYvhKTDeV/gW/0ocoUWsXgFwuF6Qs52+neu5fFZ55Me3vumo1bKGZYYxLDEf26nwyHUNjUT2LAW7donkLk6cQ+5GFfiCegis3BaW4kUWpmRGcDxmaFsLW3lPx/sxHWwNuab/XWoRAv3L+uROJgxIJIRSUF8V9LCol01XDU+kXlLClmZ3whAXm0n13y0izcvGEJaqIBeJcfu9qFXKyhv6WLJ3joWZaxEsNWxgVz21PWEXJqsLvbWdJAWZmTB9mrGp4ayaHctn+6sITPShBEbV39aTF59F0q5wHXHxXNSbiyxQT16VKIo0mZ34/L6+WJ3Le9+V8FVY6OZYGkgsKsch8JEpSKeBH8ltR4d9y0p7kW+/29NDePOuI1s+w58dXvxJ0UBPXU+h2B1+qBqKxz4AtJPwtdSinjKKwT+Rf3f/spIDTPz/vn92FvVjkEpkhuhIbl9HbgPC8eNvhFXYBqffFfXTZoFAR6ckcn8rTUEqtzcndVCiM0Ca96CsrWIYf0Qxt8iSX78REQYIojgYLQmMhetQk1MUyFhEalMOdDGjOQLsPvdRLVVE7TkDvxjb8YQoIF+98P3kJt/Gv70FJXJZMJolE52UFAQdntfrZJj+AUIToGTnkLc/iZCySqIyIaY4bB6Hoy8uje5AVj7OCRN6G5TPRL7q1t5f2sNn+2sZvH020hqOq+bxHTFjKcpcirNs06k0y0Sf/IcEhbPAocUtpW7OwitWQGlSwAYkP8E753zAhazDvHAQgTxiLz2ttdh0gPw1fWgMePX/QF6HPpggiPjODldwWf7e3c2JP0WZoPRQ7Ce/DRORydhi6/qs1rorGH0sGDM/9KHjt3pxmwvxLP/GwRdOOqmA6hW3Is4WYXN7Ua95n4CKtfhjhyKcvx9vLvZxfOnpeDwijj8coK0Mq6a3zus/sWuWq6blMp3JS38N1dBfWsLqwoae23j8vopb7EzPN7CS2fn8snOWjIiTPxvTQnBBjVqVwvoQznQ1legsqjRSnyQnuo2B67DbBTWFjVxblAzb49y8lV7DPesbOKxFWVkRJiIDZKupbzadvZWd6JVCgQbtRjVCq6ekEymvpPwZVdQkn0jxaIGjdaKNrIfDrWjj0gfQKNPD4YwCie8Qlr7diJMQdR19pDn84dG0un0gEIlOV+HZ+PIuQjD31Tj5s9GVLCJqGAT6ZGB+Dvq8XkdVEZOIejMVPS2MmTGCIjKJa/RzbOrerpHRREe+CqfS0YnMEO7mwSdG759SIq2A0LlRph/PpzzKUQP+mWTC82E0EwpKtyRQ9LHZ0s2PAC6QGQJY/51Br5/OsG59tprufPOO/nggw/wer088MADf/aU/jmIysXrB6XPI9V0LL9LKjz2HiUi4WgDT9/oxSGsKGjm/c2SqNqSzmQSh39IHDU4ZDrcoQP4ZHsnn+yQij+NagWvn76CIeWvgi4QQfTB+qe6x1LXbKKrsxl5RzkCfdNoKLVgiQOljq6TnqML3VEC+r891HFDuUbZgFNUsDS/lSC9inunZ5EZ8etE1g7BYo6m2V8LadP6iiPGj/7LOqr/nmhsqMVut2LsLEXbegBZ0nFsdMejTfkPQzdfg9rRhuqLCxDayiEwEYUgYPryEp6f9h5T3yuh0+lFIRN465x+3dGcwyGKIi/NSSNs273Ys67GpFF2K9MeglGjoK7Dxf1f5XPZqGiyY4N4fX0ZJU02KodMIatgIcP7eXjniLFHJgXjF0VmDYrmg809kaN+kWbUq69D3ZjH7NxLOJB7Oh/tbKK2XVIcr2yxsXRfPbGBekRkXP7u9m5VZrNWycuzF3PxR4XY3V6gg8GxInefOJpI8wFqD+sGU8gEoswqOroU7Gj0cPbue3h75N181RbL7hYZJ8d5GBDQSLMxDGyh+AeeT0f0RAIi4n+Lr+5fDYvRAMZkAKSe32hgbPf6JmttnwoBp8ePRaciofh9GHRON7np2aAdWkt+OcE5HEkT4KyFUl2kSicRm5ihv37cvxn+dIITFhbGq6+++mdP4x8LMSQVMTIXYe/HBxf4JdE/mbyH3QMMuvB7u6usDjdf7pGK3wbEWIgL1LO7NpwHd/vx+kVuOEHRTW5AUge+a1kNr591ExHVS5Av/k+v8fzRw/CLMuI23g6TH+kjEkjGdMS2ctrPW44uLB1rSRF/CFR6EuITeSoqlls6XGhVcsJMvy3pMBqDcIf0Qz36Oti7QKqVyjkLjyGSP1Zm8M+Hs7mC5g43AZXLCV5/R/fysVFDeS74LnSDHqCfqhaZvYn9E95kYX0I+9vkzMr00M/t54FRSjQCrG7Q4XA62HCWDqXg54BVy7zvHNR0ejkhQYPZ34a66EvSrDVcP/HV7howgEFxFuKCdMx9bwcdDi83fZbPw1MiuGxsIg9+dYAH95h58LgXGGrbwhVDx/HG9jbmDgtiTpIXtcbNM7v8XP7edkYkBnHrlHTmb6vk+AQ1bJJ84HS7XueimbP5aCeEGDV0Ojzk19uw6FS8sq6UjHBTL8uJDoeHpUVdmLRK7Ac7ELdVdnKgyculYxN5dW0ptR1OTFoFD52UTKKqnXYxgs8L7UyLnUzq6itJNUWCKRK27Md66vvEaJvpSpiEKjiJAM2PtyEfw69HXJAerVLey9wyxKjG5fHiVplRyA4qlR9pfaP6jWQfFGpIniD99y/Gn05wjuH3hUqjx51yIkqNGaGlEGRKqNmBeOprCJteAHsLDDgLUk/83jE0SgXxQXpGJwdT1+Hk2o93olMpOGd4LC6Pr1vH4XAUNNhoccsxB6RhzD1XalMVRTBG0DzsVtpr7GBvkuoCTnhQMgZ126Uw664PYMKdBMT0+/Un4JB5p+qnt+RqlArig3+fn4Zaocal0uIMzUE1yIgoU+K1JCAXj66m+4+F30+Hy4vH1krE1kd6rZLXbGFqZitbbcFkRpmpGHY/Z6820NYlpQ4jNTpO9H1O+pZnwe/l+KlPIts1TwrzyxSE5p5D7rjRVFkGE5f3HAWJFxClC0ZWt4NTzY8Sd/oNlHSIBJt0JIUaabZ7OCk7EkGA7Cgzg1sWUxt7Go+e1p/dVe0UmDMosaUSYJCz4WI9gcuvQb5jJwgybhs0l8QJp3Lfyga63D4eO60/A+s+liKQ7RUgisj9Lk7PDSMpPIC82g66PF6+zW8kUKeiobNv1LS+08VVxyWzuqCRFQeklFpVWxcfb6vmhMwwAvQqSSNpYx0TTo8ioKuEjMhQVuhncWJiI/rSJeCyYh17Dy2mDOKjIlD1OcoxfB88Xj/VbV0oFQLRAb+slD8r0sTTpw/gri/20Wh1ER2g5bGZGWwrrqUk4Sz6l30Dw+fChmd6dkqbimgIp6+owTH8UhwjOP8CqAJj8Con4NUEIdibsepi+V++lrnHP4NJLaAKSZYY//dAqZBx6ZgEPt9Vy5J9Uu2OzeXlpTWlzDslixBj3yjHkHgLHq+fer8Ff86laFNPQvA66dAnMO6tWgZG6piaPB3DgUVS+LR6GzhaYc/HiMOvwh2U8csjGm0VkgheawnsXShJtGedAjGj4M9+g63djXrz//CmHI/QUoTgcaBUaZFFHv/nzusPQrurnd2Nu4lVRWNUqSV9JXfffmmN6ERtDsUaZOJAUyBtXT0RwgvjmtGvflL6IyQdee0OqNwo/e33wva3ME2IIc1koU1Us7tDS9Cw+4hbdSXG/PmMz5/P0OixrEy7B6dDySVv7+ou3tWp5Lx8xlQam7u4f/F+7p+RxX8/3oXb52d4nInzbR8jP1S4L/rRbXuBk6YP5yG5gl1V7eTVWRlQvBLFsMtg1UN4gjNQhiRxeoCG2q5Kuvw2YoPDMaoVfFvYxOVjk9hc1luyPyvKxL2L8hgcH8ClYxJ5dV0pqWFGmqyu7jQxwNjUYJp8BqLN4RyfHszCnT6+8VzJaeOvJDLYwrPbXdya1NtR/Rh+GPtrO1i8u5aF22sIMar4z4QUhicGEvgzndwFQWByrEDW2TG0uWQEmM1Eh4fSP0xFR0cgzlADalcrwux3oHG/FFFvLUFY9QD+425HFvPPVhj+o3CM4PxL0CoaOXG+SIvdCLQBbby+Ce4+KYOLIn78x2t3e1lb1NRned3/s3fWUVZc2dt+6rrf2+7uSuMOwSVAgBAj7u6eiWciE5mJTdw9hBgJBIIGDy4NdNPurte1vj+KdNNpopP5fTOTftbqtbqrTp2Svrdq1zl7v29jAyfFxXDvxGAe29yJxx8gMUTD/YOdGIQOYv1lyFNnAYOgbi+eikJGxcSwvsLGqqmXMEupQbfhMcQRl+GPLEDmaIawHATT70iC9PugbB3inrcR4kbB6rt71xV+Amd+KM1Du22SG/e/KEff6eqk1lqLWqEmLehXeve0HIGj36Co+A5Sp4IgIKx5ACJyIPh/W7RPFEWONjdhbU/j7h3VyGQC146Lw5E2F93RZb0NlTpKxBhyo80E1W8DVV7PKpNGQZi9tLdtzBAoX99/Z931+MzJhPhb6WxtZl/MaNSnf42roQi7zMSq9khKqwTOjVbx7FmDCQREtpS18uGOGjaUd3NSepikWNzu6PEuW5ClQ7N7db9dKVoOkRs9nrJmO4lBKhRtxdBZgW/6I9jDh2IVBba3f8mrhc/jC/iI0cfylwmPsqtKSVGjlUvHJ7N0dw1ymcDpw+LYXdmBLyCyvbydrCgT98/JJC9Kz+TMMNYd01Wx6JRcPDaZ2PAQrO1edHIfjV1OhiaEs77Nw/L1DVw5IY4Yy8CU1K9FFEW+2FvHK5sqAMln7JoP9vDGBcM5KeM3ltE3HYblNxFbvY1YgIg8mPccxpjBGM0hQBLsekt6Edv8lCTceQwhdhiEpIPO/Eed2p+WgQDnT4JRoyQ/1sz6YukGKZcJPDZRx8nCGlhZIZUnxo0ErYWuri6qWjpRKeQkRYag1mjRKhSkhBqoae9rvRCv86DpOMr5JXcwcdIVWNETa9tC6OrX6Fr0CbLG/RBdgE8XwW5PPOWqEOYNl3H1DC1NHTY8MWejjs1HbmuiraMDV/wUEjp3ogpOBPVvUHoVRfy1u5AfWYaQOQe+f6nvep8bKrfAvvfB0QH5p0nTCBG5kijib2R/837ePvQ2a2vWEqoN5brB1zE6bCItNgGjWiC44wC0leLXhSGGZqK0RFPa5qLVX0D8hOdI2fc4sh9c2ZVaqbT+f5zS1iZaO01c82FvgvWmklY2XXIbXm0E5tIv8IVmYRtzGwmaRJKPvgyb/076ubsJM6hpsbmZmhGCMn0y7QnDqVIk0u5V0xl1M7E0kXP4HxiqjgUghjDcmnCah91GdmuATq+ML1sieXS1NM1116xYhsoFLnprF06vX8rDmZiCWaukrsOJWavk7pOz+iQk7270c0rUcDTWvjIWHksqdR1OLhqXRAjdkjWHIMMXPQKjz0Gbr4oXDzzd077OXssLB5/kxfOe4LHlFajkAq+eN5TCum6eX1/ax7NqX3Undw4PQRVh4anTBnGgtotul4+kUD1ZUSbkMgGXx8/u0kbOGhGP1y/iaw5w+8w08sMUaHR/DiuPP4KyFhtLj8slBMkapajB+tsDnNLVkvfcDzQdRDz8BULUIEn1GiB9Giy/pU9wAyCUr0PMOBnBHwXGiN9zKgMcYyDA+ZOgVcm5cVo6e6o76XJ6uWuMgYVF1yPvkFSk2f4CzHyMstj53PblUQ7U25HLBBYXhHLVxGQSQ7QsHhnPzsr2nuTHzDANI8QDBOSDkbeXkLL55t4dCjICSgNCwAtVW9imnsjV7+/pcbTNiTbxzOwILO+f0iNIGAG0TnsOl16PxtYoeWv9Wqq2Iu+slm4Wfg9kzYWsOVC6tvdGI5OB+Zgc/ZdXSftNHA9zn4GQlF+9qw5HB+8feZ/V1dLDtNnRzD1b7uGeIS9w3yc2UsP03DQtnYl77kRoPkDr6Lv4Nug0zLRR0S3jhk3h/GPKi0zddq5UvTb6Ogj/A/KN/sPptMv5dE9lv+WPfu/hoZNvp3vMlWgUcgQ0pPg76E6djDt9OkFCOx+elUCFXcHg7vUErXyJpTnP0yaDJ7892CO6dsXIW7kGEQMO/MFp2DpbOO9LD5OzIhgUpyVUIefGqWkUNXQTZlJz48e9nkJVbQ7e2VbFeaMTCDdqWFfcwtR0C4LPzbJwHUebHSzZ18L1F1xHTMPOHpkFW8psOoLyuXCsnOKGTuK63gJAzJiNSxeBuul7Gr39PeAK2/bjx8q9c7KobncQ8Pvpcnr6GXIOS7CgEAL4AyJqhZzxaWHIZH2zNNocXlSmUN7dXs2h+i6GJgQRZdYiP4Eb9gA/jUouI0jXq3j9A3rNr39Munwu1HI1QvX2fuuEqi1Y63ehDk5FJVfj8II2ugCheEWfdoHYEbSW7iTUbMSeMg2j8X9fA+vfxUCA8yciP9bCsmvGUt5iZ4R7O/Jd5X3W+yu38XnrKG6bF0mVrQS/6CPRoOFoq4MxmSGM1ap484LhVLY7MChF8hS1xK15g6b0d+kYdBlB+1/p6at7xI10yoMJQsDZ0cjrJRUIgsD5YxLJCFWToe1C8LkgJA1ae8XJgg++Ttsp76DR9tcd+Um8TtjzDqROg5Bk+Pr6XhXnYRdJeRkN+6XqMVsLbHm6d9vKTZLo4YTbQPPrysHrHHWsqe5rqigiEq3X8u5ZkQT8XiI03RycvZT8t7MIZM9gzoF/ojv8Jd7gFBaddRM3bZGTM/8TosIjQW2WHOGPP5/qbVCzQ8pPiR8j/egsv/6a/AfS0OnBdIKHhVwm4A7oCYmQCm6VokhnfR3awqWY974PchW6MdcRFDeNkC9uoXz0Y5Q4DSzZVd4T3AC89H0rk895BL23lQ9LNISZjaRFdpMdZeKBrw7T4fBg0Sm5dXo6LcfsDI7ncIM0urO7uoNZWcHkuvfjiRzMi7ODONCgptkho9YXjOLUL5B3lOFTGNjnjuD6d8qJtWh4ZpwX8+qPENOm4xpzM2p3B8LO1wgffkm/faWa0zEqtHTYvcwZFAOAWhZg7REzB+q6AEgJ0zMv20KLTEtRSQtlrXaUMoHMSCNDE4KR+b2UtJfjEE38c/2hnuBoa1kbdZ1Ohiz631Cj/b8iPkTP1ZNSuPmT/T23j9ggLUOjJA2hn5vSbmgsp6rdhc3jJyRITm7SBJQ/BC6CQCB6GGL2AoxLLsCffBLikAvQuK0IieMRowoQGvYBIIakURNzMi8fhPtb30UVlAIDAc7vZiDA+ZOREKInIUQPh/prhnQnTGN8rIYHd9xMpD6MVlc7dbY6np74EhCHXiUnWLDS5HPg9wt4wiJom/kCNlkQ8oIrsMVORG5vRDDH4grKJKL5O9j6HK7FK7haaCNmrAUBGyG2fah2vwnNR/CNuxlF1WYoWwuAX21GJZf3yJYHAiKyEBM7a4tpcFQTa0ggJzgW9fHJws5Oycwya65UlXC8AMWuN2DOM1KS8ZZnpVGdH1PyLUQOgtyFUrLfL6AU1EQboqnq7tU+uS3vIV5a42RTufRmXxCj5x9z5Lgu3Yh5y1OoD0lS7kp7C6Gfns8Li79Ab6+F1c9LXlx5p0H0EGnUqmobfHYxOI4ln257Hk59E3IX/OKx/adSXNdGZ3c36eF6bp+ZwbvbqqjvciGXCczNj+aid3by6nnDEYH6NhtDmrah2vWWtLHfi3bDo/hPSWflmA8xhcSgbpH307MB2FgPz6/rJDfGRLg1wJz8KF7+rpw7J4Zxkr4Kbdt+7AYNa8SEftvGBWux6FQMjjUxKEIN0dNQASvr26hrcqBVybjg41KcXj/XTUrhygnxpLRa+eQ8NZEGOTrBg/381bTIoxGt9VjkoG08QN7RbzkzbTEflXwAgEll4oaC20gvfJOr66aQFGYk2qIlJy6Mpxf4KW33I4oimcEygoRutjfLuWnJfmxuH2qFjAvHJqJSyAlSd+C3VtPtSu838lPV5jih0e0AP89JMSKvnF1ASbONCJWboe6dJH5+PYy/VcqZO4GURn1tKU9taOLTwk4MagVXDjeTMWgMimEX463Ywu7Bj/JmiRrXIYELhr7AqKOPo+2oRHC0wLf30HLeJlSdpQhigH2eaC76UPKeu+Tk6cTXbIPoQX1fgAb41QwEOH9WwrNAbQR37/C5ITILl62MF8LHE1e6AZs5hqLsk1lS9gkZlgyaGltZ/MHRHkVVi07Je2dncqDeSatDxKLNJSxkKPur27hUW4tuxXV4Zz2Fcf09DNcHQVck7H1XmkbKng9Rg1Dsfl0aPSlfBwh4Rl2LOVS6ibi8Pr493MhLGypweHycOSKBNlMRHQ4nejGcUfEmUOtBFwJp06Qyc88JlLAdbbDuQSmQGHl5//URubD1GYgeDKGpv3jpXM5Qri64hjs33YFf9GNUGvFaU9lU3hvw7Kuz89ERJ5fnyQk+/EXfDrxO9PY6hE8v7g3GDn8OZ7wP2ilQu6M3uAGpzZanIX4cmMJ+8fj+0zhc18GZr+7qmZ5UyASeXJTHrqpOJmaEsb64iaJGG4V1XRTWtHJ6QRiqwo/79eOv2U258UJMLiWZEQqSQvVUtPb+v+UyAeWx6ZvSZhszciJRK2TMyw1lRsc7mNa9CIBBeILs07azeGQ8HxyrStIq5Vw/JY0ok5rBMQYignpzV6ZmR3HuthqardKoj1mrZEp2FFqtnrS448qIO2sIqJQktB3AU7qW1TFXcHLaDEL2vMV1OYuYOupJOn1u4kzxpO15G8W+t5g1dkLPKJRCISc5NoaYMB8+vw+1WsWqwgZWHqrH5vYxJM7CReOSWHOkiSdWFpEWYWBRXiJhcke/ayWXCZgHnom/jZodBK++l2kdFUwbfC6s+3uvVthX18IZH/QPcHxeDtQ7+bSwk/woDc8PayV+561woI3AkAvYO20Ji98uRBSl3MWNZfDG7NsZbz+MQmsG0U9heTWXrVXy0CnZhBpVvLg4npWHGpFb3HD4G8nn4UeIfh8Bvxu56o9wpPvfZSDA+bMSlgHnLZNGB5oOQcFi5FHZDNm2CuN3jwNgAkYUr8Q360FEvHx+oKmPXHynw8vuRh+7q7pZdqDXBfeS8UlUei3oTv0Amg+irfseJt4O6x/GnTGP2sxLUOIj1l+LTK5CrPkeceFruPUxKA3hPUl4m0vauO7D3jyJx74p4YF5eQwNaeGy5eXcNCWJUel6SYY+ez5iwwEEcxx01fSep0IN/mNaI8knSesSxkPVJmmZJV4KcAo/BXdfi4afIsKo4fsDcTw/+XmqrdUkmpJ5d52Dv4w1MEZfj0L0UEocS6rsbA/WMFttklRKezrIQSha3nekSRQRDyyhK3IsWnWIVCKvPxbM2FukaouaLRBVQIMiiPLOakRRJNEcR6wl6Fcd9/8v1h1p7AluAHwBkRX7a/ln4iaaa5TYzCOxnJSCSSPj8kEqPijq4uygLIyNB3q2CZji2Bx5Ds99JY2gBOmUPLFoEI+sOEJ5q50gnZLbZ2ZS0+7gxmnp+AMBsqNMyAWYGWXD9OnLvQckBhi8fDa6BauZml5At0ck0qwl3KAgObx/wnlGpIlPLh/N4cZuAgGRrCgTyWF9k3drW5uocdTQYKvFogomfPBVDEaGJ/RSVO1lGA8tZWTRMslYNrwL9r4BCjUJoUaizH0TzNVqBepjt2YRqOuUPr/3zUmnweonK8qEOl5GiF7N6lIrF2X4OGdwEO/t7XW0vnpcDDZRhcvtQ6MeuM3/Ii4bNOyTpoaz58PhL/sKoQJUboask3v+rG53ILrtlLVKwcvjI93Er7ysZ73s6ApW2Ob3UzR+vUjOiCkFKAQv4nnLGBWQsfTSdB79tpzvK9qRCXDGsDgEjwNvziIUCmWf7cXSdYiubmQCBBRaPOYkNJHpf+TV+J9h4JP/ZyZmCMx/GXwuyXyttQTj9y/3beO2kuP1YZYrKG7vP60ll8v6BDcA72yt4qTkHKyaBMK3PwVBCdB8hJqZb/JEaQxfLWlFrZBx4/hBnBmqw/z1JQj73kc75xk8+t755s0nKEtfsquWCcEG3hvfxLLWIEg/9kYVXYBgiAJzDKy4VdLAMYTD2Bth23MQO1xyTN/zrpRUXLVZGklytkv+XDHDwJL4qy5bpFnLsPhoHv26iz3VFh5bGMlNQ9pJXHMzyg5JdTlDpWfoKR9x8VoXY8fdjXnNLT3bB0IzkP3YfwupTPWGz46SGjqS28/+HHnzYQLGCDDFoKjbA8tvwh9VwIack3n04DOIiIyPnswVudeTH5X8q479343V6eZokw1vAFLDDYQa1LTa+ue7NNm9+Ov2ElO6grmp03kv+m4uf28fj83P4qvCKk6eeiHGilU9gWH5sHu4aVlljx1Dh8PLrUv38+aFw7G5fJg0CmweN07q6HT62HQowEsbynnurAJUeCQF7+Oxt5LYtY0gXQLhg8f94nklhOpJCD3x27LN2s3WpjU8tEsSLJwddya5hhCcTgMKhYWp098g1lOC4OpGqN4mjQYA9hHXE52QiULeP9/M5w9Q2mxDJgjMzotkWmYI7c4Aty3d3xMsjk4J4eyR8dQLem4YAdPSLTRY/cQFaTHoNbhsrVjbrWj+Qz4b/9F01UC7VB6OvQWMUX1yAwE4TrpiT3UHF765kxGJQZyeo0erbCfJdahv+4Bf+uz9CLVCgcbRiFC3A3a9hlYfyerk13r0kAIifLizhqHxuSxwrgCXtcccM1D+HTJ3F0LhJ1C0HAFQp8/ENeEuyRR5gD4MBDh/dhRK6QcA2QlzUPQIoDNxWraBzWUdfdcp+9+cPf4AMrmCMLUfZ8JktHteQYzMZ0lrIssKpWDI5Q3w6Lo60hdlMkmhBZ8TDn6MPDy7p59gQ/8xdpNWSbPfRNK3t7FgzA1QXCNVQql1YIqAoytgyr1SWbgxCrrrYdxNYIgAWwvihFto8unRx56EcfNfoW43pE6HcTeC/tc7Xg1JCOKV84bS3O0mUe9HVriyJ7iRLoKd4P3Pcee8aziizCfo4uVENRYRkAnIIgswNRyEw1/0GcVpTD2T75a28NwoJe0l37AtJJZ1jWsYZItnfOJUjN5Lidr+EjHpExCPeXhtql9HTvAgciOS+lXX/F/g6WqhodOOSbBjadmFobOaIaHp2IKyuXaJgwfm5TItK4K3tvctvz0/EzQ7vgNAUfoteSlX8sb5w2hzuDkpI4wvG+VEDX2bbHktfuQUqYbg9vV94HQ4vOyuaGNaaBtemYeP6lbwdcVyBEFgetZ80qKm8tz6Up6eE4sncgiqxuP8v4xRdBrT2emM5gRZWb+JNncHSjGLW3JeJCBvY+OBIO45Ut+zvmxkPBkRCSxM9EB7A8pBF+BPOgniRhPxE0q5a480c9UHe/AHRO6bk80peUFc/Wlpn5GwbWVtzMiOICHEhMfvR2eMQOH3sLvZSa6lmzE7rsY665kT9j/Aj5Areyssq7fCjEegZrt0HwHpXhI/CoAup4fXNhzlu7OMmOxHadclcNawSGTqqr59dlYxa7Sft/YKeP3S91UQ4KLBehT2Jtj+TwBs0aNZWdpXfgNgT00nixzr8KTPRPWD+7e9DdpKoGh5Tzvh6EpUsSNgIMDpx0CAM0APstAUxDHXI6y5r3ehLhiZORGAcSkW7prs57ktzQgCXD8+moxwLSaNos+NNzVcj1mvJSBXEogbibd8NbaQwXyxrbPfPnfX2pmUMgmKV0jl3TIl+Ny4rM2MSAru07dcJjA1K5wGq4vq8U/hDc8j+fv7EJQaSJ4odWiIkDQoEsfDB6dJo1M/MOkv2BQm7t7kocnq5rQh/2DaRB9RRuXvEtkLai8kqGozYvxoyQbjR6haS9lQsYwWfDg9TgZHDObU5IWEmyJAkMPC1+DQ54iCQEfmWVyyVs3MLCPKmmW8opWxpOgtANazlS+btnPniLtoCElA5esr77+taR3ne87BoDlx0kVXSy2lDR24nXaSwwxERkb/pGt8P/x+aNgLHZWI9lawxOMJTsHv6abNY+LTEh9hJi1JQhfJbXVE7nsBvA4MBWfz1JSr+aKomcUj4nj5rFyeXleBwydyRb6CSc1v9+ZL6cMIDw/n8e1VfHWggfvnZhMQA9z8tR2Qpt+umxJAJZf1iO6BlDczytxB/Fdn8uHEK/iq4mtAGglbWf0ZF2dksKkogi5RT8vERzEeeh9T9RqcUSNoK7iaMz+z8vqFxl93HX6C0rpm3t1t5d1tDQREuHNWLuuPFPVp8/HOGm6YmkZlIILccSfIAfsR9Z1O7vjsQE9uzgNfH2ZyyjCKmvqXm3c6vQRpVXQr5ER17SNMoUKlqSd63X24gzIo71aicTgw6gYE/36W0FTJWmP0NbDrdalYYeZj0jSVTA7hOT1mld1OH4+N9GBacTV0VhEK3JpxKkLoORCcDO3HqlNlCgqMXXw8S8nX9XpcPoF58S6G7LkDCk7v2bWurZARkQJlLZAToeGafDCLXYTGgCi7GFtjGZWdStJjI9AZIiTbmx8hK1sD4286Yb7On5mBAGeAPvhTpyPXWhCOrgJjJGLKFPxhOciAkMh4LguLZm5eEwgCUZHS9NDziwfzt2+KOdTQzZiUEK48KYUL39rNirOjCHU10TLpbzS75WSH+/oJBSYFKaG+EgBx8Lm4VBYOHKlgc6WDyRmh3Dkrk8o2SU02wqjh7a2V3H1yFou/bsTuPsLiEbdxitxAOoCjUxqxKdsgJVD/KBDgwMccGvUia4qaADhY14V1RjpXT/odCsL1++DjxWBtRMg7XXLv3fV6nybNGdPZ0LqbJkcTVw66khf2v0CyOZl4TxxZ0QUQXYA3fQ5Hmx3Mf2k7Xr+LEYkWakMSWHr4+T59VXRX0uHuoMjdSLwxnmcnPctL+17icMdh8oKHoVX1naf/gcamJu5fXsHKo1J+UazFxmvz/GRmWnoFx36Oxv2w603Y916PR45/4v1Uxc2lzKbG6bdxz7IjBESINI3k1UmDyVtzNsK+9zFnLeBIQxhaVRKJ4UHMzbMxJlZN7ve3oKhYT/Pkv3NAOxK1QiTV52B+Ihyu17Nsfz1PTgvms2gDhfWSjcNX++q4f14W9y87gscfQK2Q8eCcVLLXzicQnsXKjsP9Dr2oeyvnjLqeN7fVkGkWmTb4RlqH3sDBViip8fHc4jQyIn6/U7yvuRh1ezPxMhGTVkmnw3vMAfxH7QIicplA/0nJE2BtwtKwn3fGtuIJK8AcGUuX3YtCKWdyRjhf7Kvv0zwzwsBrRU8h8wfh7RzF57s6MWkiuWPcR0Qb5Nja6rDqPBhTB97uf5GoIZIBZvxoqSDBFAvR+f2aheqVkqJ1Z++IjbZuMwdyryd3+KXIPFZp+lttROaxMWTNFQwJSpLKzI+WQFimNGJ0DHlzIefnNtPujuC+mF1Eb3lICqzURpj3PMF1O7GrKtkbmMdYgwGiBvVUnf5AIHYUsoHgph8DAc4AfVBEZkNkNv6UaSAGkAfF0efRKVcQFRXTZ5uMSBOPLcrF4xXRqeQIApw+LJbb13fx2rQcSlqULP64ivfPy2VbZXfPiExepJbhkQJieRDCvGcRuurZWuPm0k/KAGi3OrgkqZVtbWFsKLdhUCm4e3YGT6wqprZDCpT+uaEMvTqdaEMDBlsFfHPLT6sCCwJfl/XNB3lraxULB8cSZdFKN6WuWpApwBL38xeqfk+P2BtHvoTB58Lke6VqLI+drrxT+dqgp6lRCqbEY1NRxR3FtDhbsHpsDIsaRqtTZHd1O2ePjOetrVV8sr+FswoSe9ofj4ZovJ1mvj4okB4NNwz6K0/tu5tpCbOQywSsbitahRbFcXodhU1W0pIEMlJ1lNWrWLG/k1d3d/NYVD3KoFiMOpXkA+b3QFh2X60dvxe66/q9Meo2P0z1+CFUBKJ5eWOvllJjt4v7dut4K20BpuKlCB4bE9OkKcd2u4fPD7Ty9HoHX599P5ah13P/LjWLktsYeeRBVA27iFIbmTjxLrxdTXibYnl/ciJbW/SkBquIdRahoJz4c2exvVoKelI9RQjdNQgCDEsdyp7mPX2OMysonyyDkSdWHeVr4MnN7aSHG3j7ohHMMWmQ/ytTesXfUNYl56A/Hn2wwOtn6bjjqzKcngDB+r5icVlRRpJDDcQF/YIyd0c1LL0QXd0u5BcUUdLsZe+mSqLMGtxeP+eNiqeu08nOyg7UChnXTkqhW76HjbUbmWR8mHe3tAKST9x1y128tTiLUakK6rv754EMcAL0QZA0/hebaVUKxIb9fZZ1xU/jhlUdPDNlCDniLmRKpNHkgE+a+uo4lt8jCDDkPGgslGQh6qXPbOaOu3h6/hto37u/t1O3Fb65DRa8TNzSCzk0fjBiXAb+tBnIjq5CaJZyfsTQdHyZcwcMVU/AQIAzwAmRW2J+uRHQ0OXkug/3srNSys1RyATeunA4N0xNx97ZAhvuxhgyHdAh76zgi1PNlNg1aOSQqW4honmD9Eay/Ba6Zj7HUxsbe/peftTOlREtPB62j+bhp6Cr3UjwridIH3YBfzkQzve1UpDz2d56zko0QnuplNPidYLGDEodeHtLaO0jbyKns2+OkVohQykXoPkIHF0lzYv7PDD6ahh6gZSofCK8x41E+dzQuA+CE3GcvZRNrft4s+ZbDpVKCsqJpkSaHFKgo1Fo+Lz0c87OPBttcxA11jp0wQ5OTkwgMzKXg3XdqJQ65iXO5MvKb3p2MS/xND7c7Gb14U4ANhTDjjIfTy56CbsbDtY3sLdjNTqljrzQPKJ1MTRaKznk3sL7tS/jDXjJDMrhtrnX8d4mF1avQHBrKTGHX4Wdr0pvjGkzYMIt2FQGxJbDKJQ6lF5P/5uE34tO5iUpSM+1k1NRyGXsr+lkXVEze+ocdGYNx9i0i66gbOIcPo7Wt5NvtPL5qRbkihBqAyEc6rDg9VUxuuwZVB0lUjVbZzWKb+9EMfketGtuwZ0+l+ljrkL+xRU9b8vZGTvZqLuc17Y3kDVVx2C5ErpqmC0PYoU+ilq7lOOVZEpieuxYPvi+teewTRoFDy/Ik4LZf4XGQvY7grlgZRcdDikYN6oV/HPxIK54fx8Pzsvh6wP17K3pYkxKCAuHxOLx+gj6JcPGmm1Qt4vmGS/x3OZeY1uAGTmRvPd9NY+dkoHD7UWjEJBpvJy3+lHGRk5n9c7+ruRry+10BrsYnTQgFPeHIggIGSdD+QbpHjPkXAzmBJ5MEHhgi4Oc0EGcFGYl3WQgzHYE1cxHCVgbET0uPGHZqFVqBFc3DL8YlNdK3z2NBW17Uf992Zqke5irC5XowW9tRpUwCvepbyNvPwqiABFZqEL+t33sfi8DAc4A/xIH67p6ghuQhuMf/PowSy4fjclZg3DoU1JiGrlk6G2EO4tJ/vZm+tR0yOQw5nrwe/Apjdg8vQP53S4fz9al8US+gfiPTupZnlqzjXunvM2cOiWiCJEmNZpDn0D8kN5+t/0TTrpTClxcnRA7nCZDJuN8Fchl2p78hmsnpxIqd1Fpk9GgnUjIrAkk7X8S5fqHpTLtYRee+MQj86SRnsCxKQl7G2x8EnXWPBIKTifTWkmHx0peaB6ZIZk8v/d5ZiXNorC1EIWgINWSxdN7nmJH0xYAtAotfxv3LG9scfHZnlo+ve5CMkJyWFOzjrzQPIZa5nPhN8V9DmFftZXiRgfrj7aQGmogN3YmgsxJc5uGdQfriItq5bXjprqKOg4RrvmUc4adh8kSCsXLaMeCfPRdWPb+E0pW0T3qcrRf34Sy6SAlp6+n0uphmsbSp8w9EJ5Diy6V25fs60menJETybTsCJo7rZiVARpnvMSM1yrpdvm4dXo6MkHkqwPd5ITKWDxMjwhMS5RTK5vPpvDrqbPLmDjYxdDS59H7pOBRffQrxLz5faYCgos/4uZMFwsXXYhTFYxzzktoV95AypqHeXP89RzKHYJLbiBHqaG1poP6ThW3Tk8nNdxAZpRJErn8V7G38E1dKB2O3uDJ6vbx5f5GFg6OJt6iQi4TWDQ0luo2O5e+s4v4YB1jUsMI0v/Me3abFCwVB0/mmy939Vm16lAjN05No6TNQ0GsGaNWhd3XRZgujE53MxFmBdV9TcmJD9bzXYOXsCAf4bEiwsAUxh9H0kQYdjGEpcPmfyC3NjJEEHhp8HXc2zKJC/eJxFo8vL9oPAnKbqzaWDq9StSuFsJrN2DLmou+qxrZqrugsxpyFkr+eILQVz7CFANKLba88wiJikeFNHqpjkiDiF9p8Psn5jfo4Q8wQH867f3VZKvaHNg9fkSFDtQmdDUbucbzBhGWE+Q7GKPh2IMipHwZlwzuqy/iEHSSQeaPiK//htQwAyq5jMtGRqDd/SKYohFjRx7bsA3W3g+JY6Tf1z+MXhEg3FvHDVNSOWN4HC+fM4TZuZFsrOjm0S1WdnQa+Lpez8ZBT9B0/la2mGezqaSF0qbj9HECAelBZIiCMz9AjB8jJRZqg+HU15FXbSHz/TO5TpfMK+Of5IKc83H73Fwx6Apana2sr1nPaemnUdlZ3RPcADh9Tl468CwPzE9AqZBRVGOkumoYZ8Y9xPCQWfh+pMkxOTOUdy5PQGEsYsFoN2OzvJQ12WnrVlDZVUNoaC0KhYdBYX1zL3a1bGZCto62jg7eaM9nzr4RnLJvKB+OX039/CWIbaUomw7iyjuXp3Y4uXlNFwcnvor/mFeWJ2oEVbPe4ak15T3BDUgP4KHxFu6clUmzZTCj326n2+Xj8glJVLY5+NuqEg43dPPJwU4u+KgEk06DJiiGxduieXCTjdf3dHPeNx5WJd4qWVcc40RavOqq78hsWs7gZdPZ6Eqk6rSVbDvpfUpN81h3JIE9B/WYuruQBSdx2rA4pmRFoFcrWVnYyKpDjTR1969Y+S24jbHUdPQfMantcHLR6FjK292sLWrh9c0VrD7SDEjPrZ+LL5xdrXTGTqJt3tsYVPDUafk8c0YBM3OO92MT0KsURFp06NUKwvUhXDPoWna2bGXO0GMjkceINmvodHrJjw2ixibg9A6oGv+hhGfAqCvh4Ce9U9WiSOieZ3houJtlZ4SwaoGcaEMADKEYXY3EOQ8TqoNAwVnoOyqQNR2CiBxp20OfQeU2mPqglAcEoA2CWX/DhxJdWCKDNlxE4ODHeGt2//855/9CBkZwBviXSA3v71Y8f3A04QY1cks24uS7EVbcisXXSrMhDnnUMDQNx95OBYHuSQ9j7WgmBuDgEuYsWIRqejhv7XcQppNx5dgoxJ3B/PjZoDIGc/XEeKJULkZ8dyZiRB42dRgbMh5mXEEVQdajUiLfxqegowJv1gIMTbtQxw3m2qReUaz6ti4+P9iGIAj8Y7VUCaVWyHjxrHzuWlZIu83DlZOSme52Y/C2YvXJ8fpF4rxl7BOzUA5/gTitB4fMQJirnIhT3wBHGxZRxNZq44GNItfNGcym+g2EakJ5esKTFKBmg6MBs9pMl7ur51gquksx6Pw8f+ZgrvpgLza3D47pET51ehbj0oLZXNLOpIww5o/t4Nat1+HwOdDINVxdcDVDU0fSYGvgke9vwu6VKpQWpC5Aq9CyvUEy/8sKySJM5mdNpYsHvynt2fedXxbz8uJcsqMyKDxnPk53gNFdTuYP03HY4YFp7xMks/HeQSdTRRN1nf2DhCCdkhSDl22V0rSgTiUnL9bCDR/t69Ouy+mltfoIbn08Lda+OVGPf+9mwqQQQgFv3AjqVCoSZfI+omuB/DOQVW7FOfom4mNiuXRpMUeb/UBvKfqk9CzGpcbg9QV4bl0Jz67rPddZuZE8ujAPi+43Zi2IImL1NlStR5mbOYLlP5I9mZwZToyjiEGxOehU8j5WCddPSfvJ/fnsnfgPfopl/d3sP3M3O2tsLNlVi8vr5/RhceTHmvl8bx3Z0UbCTX2nuSbGTeDFyS9Sb63lhfMKqGwGhzuA0+vnlY1lRFu0PH96DraqfTi6axAMkSgisjBbLL/t3Afoj6Ndyl/7ERZ3A0H7nkBWtws0FlzTH0WdtxBBqZGCmnfmQ5ekoE3KFBh8Dux9D3a8BLOfgkVv4EZJszIOh8JI+tZbEY6uBEBWvR2haAXu095HHf7rDYL/rAwEOAP8S+REm3j+rMHc/9Uh2u0e5uRHc+XEVJQKaXBQyJqPaIiEQ5/z5mHQh9/D5PRGdAErtfI4ttXHkBqay4KZjyH6XLhVZgKCiqWL9Mi83RiWL8Q78xFknRUQAJoOgFKLIm4opxQ9jHDoE8T4MTSM/AsL3qzm3FGJvFPo4fZ8C4MrX0Ue8OEfdQ0KYyRKvVkSNzyOtm4HyeEGnvq2t8zb7Qvw6Kpivj0rhAabF1HhI2bnQxgPfwiGCDwT7gS/h8FaJS+VBqNUyJgb34XWYuSQXU9GyiCsrXVc+G4JZa1Obn5HzYpZ2RAVSXBHBSXuMKzOQSwMep6sGDmvlD5AaVcxY6MmYVEGs7e9WwpujuO2pUV8fPkwRiaZyIkXuGuHFNwAuPwunt37LE+f9DRP7/9bT3AD8Hnp51xTcA3bG7ZjUpm4JOcaDHs/4pPyaf3+l2uL2/CmRbCprJGMCEmt973tlaw5IgkuTsuO4PYxRryCm8FxFvbWdPbZPsqsodXrIiQoCGhgWEIQjV0ulHJZvxEohUqNzGPHolNSEGuhoctFcZMVh8eHz+vBPvZ2ulLmIKONroUfod/6NxS2erpyzmW5bBK+nPMZnRSMrmItR5st/c6luUu6NpVtdv65oazPum8KG7loXBLDE3+97hGAWLEJ4cMzwOtgVOoCHpx8BX/fLqkbXzUqlAnJRtTLLyTrguUsuXwUh+q7cXn9JIVpyIj86TJtZ3MJxnV3Uj/7TQ61wyMrenMx/r76KPfPzeahU3IJ0srJiOw7CqqUK0lXxjJq4x0sHfQa8Z5KTHRRIwvBrFUQaVST3rYO9VdX9ogd2ibci3fMlSg1A6Xj/xK6EMnepX5vn8WC3yMFNwCuTjTLrsRmScAQP1wqP/8huAEoW4t/6oPsmPwxxQ4TkR4tCXRx6xY5hfWVHLzQ0BPc9PTfcgR5ewkMBDi/yECAM8C/hFopZ86gaIYnBePy+ok0a1Arjkvk7ShHWHIuROZToQqwstjOkxgBI+BnTIodpx8WzDgfQZCx8vsGZoTVoWptQPPlJRCRS5lSyd7hZ+Lyexgaej8ZqHHrItHrw2nNv4w3j8Ar77UQEOHJb4u5dUYGi74qZlzSVdw51USOdQtE5kPyhH7HH2LS4fP3tWiINqt4dpQD44q7MXVWEhh8HrKsKWA0Q9HXqL6+GibfS8iKG7jx5BeotCvo7A7C4vMSFpFNXVkh8SnZ3D/Dw4UfFjM8VkPojvth7A0Ui/GcsdLO7RM8nB1Wi6a1gjGJ53FQJSc4LAOZPEDICfI0NAoZHq/ABWNS+L5+L9NiFxKuyAdRoD1wmM8q3qLd1U6NtbrftmZVMJemPYzLGUJ7eziq1EnEtCrY86N2oUYtle0ObC4/j35zhAiThhumpFHZ6qS0xcbqw03Mzo0gXuNidn4ULp+fIw1WTBoFl4xPxubycMk7h7l0QhwPzcsCQUZVq50zR8Tx5pbKnv3EB2uJig0h3CXjjGFxbC1rIy3CwMIhMfj8ft7oiuDbokTOVhtQK0y4fX7GT3+XzUU1fFnsYUSyGZ0o5/s6F2Mz5zD6SCHbKjr7nEt8sJRI7PL6+ziO/4DzNxpReusOotj+z56kdUvp55zXuJUZpzxPQKEjonopXvcssDfTbu3m3i8r2FPdhUImkBOj56LJSian5GFU9dfdEW0tEPDTHTWGXVvq+q3/dE8dD88PIiPacsJjCw6PxT78euZaV6DefB+IAUar9ORPegl5cATqz2/qo+Rs2PQQHQkTCEoZ/puuwQA/IjQVpj4An10qJQMLAoHR1yErWdmvqaytAoLjoWprv3VuawfX7JLTZu9AJe/itpkZFNYfAUAeOHEFnOBz4y1dT1vwMCKD/zUtp/9lBgKcAf4QIkw/UZpduVm6uTYfYv44Lyv75skyMT2MMLUHPDYwhJMbbcLkKkVWKancFs16mIu23oXVK4mcyQU5L034O0PNkTTLgpny3I5+rskOjx9BgM0VNmrTfORs/AvMew7oH+BEh5gpiO1r0PnASBlZay+QyqRTpiBTauGr66VqqaEXSCJ92mBInY6ufivZSj3seBn/9Efw+8PRm4M4WtdCqBa+vnwQde12PDUjUcnkfN9iYPEQAyd3f4xpg6Rkii4Y0yn/4NWDz1JhrebUpLlsvHYYU16o5YfUiQvGJqJVytAqlATL49i1dzhHGqSHbUrYIC4dfw8WTRDplgyOdva9yEZZLHcsa0ch6+K1CyOh6GvOHnY53xa191gfmLQKsqNMrDzUxPKDUiVSbYeTWz89wANzc7h32aFjy1zkZOn5ZOVR0iNNTM2KwOHx89X+Ok7KiMDjD2C1OlD5vfxjYz1PnpbPhqJmbp6eztFGK9EWLbMSZQhegU+KPLy7XUogPljXxaaSVl4/K4tLP6zkucWDaehy8dH31eTFWfjWG8BkDOfSCSre2FLBvpouRqeEkBlp5PYZ6dy89CBlrU7UChl3TIoiK8YCQFywrt9oU4heRXLYr082rmlsIrZ8LUJ7ed8VtiYiKj6H8BzEyDzU2/4BIy5lRZmH8lYHS07Rkx8oQk4Au3YsRXUOnF47erWAWaMiJdyCIAgoLTGg1CF6fYQa+ldahRnV6E6gGH48clME6i8vwB09gvLU83EElCR2F2IMM0qCioKsN8gRRURr868+/wF+AmszfPc3yFkgadbI5MhkSsS2sn5T6j6FDtY9DKlTYPdbfdbVaDPocEiBjFGjoLGrN7+rQxGGLmMWFPdWVBKZR0BtRPnh6ejO/oQu7WDM2v4eagMMBDgD/LtRHhsG93sZXfs6D0+6nKd3uRBFkUVDY3F6/Qw31oBLCYZwBsWZ8dWHEjDFQcJYtrbs7gluAPyin7eKP8QgZCET5MQH6yhq7KvwqlLIEEWYkqyjoGutlN0ZlvmThzg6Vstjp2Ty0Dcl2D1+0mV1UnAjyCBhDKx7qLfx9hfwz3iMUst4jMkaoovegsyTIXMO8jX3Ypv3Bp+1KXjiu1IcHj+zskO5Y1wwhJ6L6O1GJldwapId09IXe7osGXcNl+x6BOex6qHH9z5NW/Z5FF4zmwe2+RkcH8TwBDMyQU5Dh43dR1t7ghuAshYn3W2pBMXouXnwndy/404a7A2oZCouzLqWI1UGIk0OLpmsw+ovQq7W4nZ+xw3zIrBZQ5AJIsGWblw+L6sPN/W5NqIo5cz8QFKYHrlMySMLs3huXQUvfddIQayFxSMTeqb5JqcHc8Unkm1FqK+J62OOUuSPITdRTZLnIImf387hU9fx0c6+o01dTi8VXSJ/OTmLuz4vpNPh4YzhcWiVcv5+LD9KEOD2mZmUNNnYVtbG23oVN01NY8mF+dS1dWNQK0iICEGukQIYi07FE6cN4tWNZaw50syQ+CCum5pGbNCvm57x+QMYrJUIO1+DIefAhkf7NghNRwzPQmgulvzMBp3Ft59U89pUOcPWL5aCC30ohTOmsrKsmeoOB9OyIkgJl2FQthFqDkah1iEuegO9wseIxCA+2qnoMbVVygXOHxWHXvXzAY6vu4GO9NN4SXUBr67uIiBCatho3s+Np37qhxTZjRgVfvJ9+4nf9TdkwQm/6vwH+BnaSqFqi/TzAyoD7tnPofnqMukeAriyT0d02+HAh3Dm+9BwQNK/EQScBRfzfn0UAVF6yWqze0g6zvPs+X0id+edhz4sExoPQmgG3qRJKFdJ0+Sq+r3sVuoZGzcwGnciBgKcAf69JI4DtQnc3ZjLlnF241aGzF/KR6VKvtrfwFML0onb8wbkvQmARqmAuEE4/U7orqDD01+evsPTRXmXi/u/LOXxhblc+cHenoqeIbEmhkcq+GhBEOnVHxNcsRrmvwRRBf368Xi8+FsL8dmamB0qZ9pFMTSV7SdGe+yBHpwslZn/CPnBJTylyGNPfQiPTfgLk7ZfhXzQaaAyIBcDnOpdztyT0ziszOZAp5pSmwoxVMfuRh0HWxyYjBF0LNiEv7mYeHcJZSpVT3DzA+8WfcTpsVO5fnI6drefkmYHr24uJ0SvxuPrr4m7p9LBsCgLo+z7eWzkSzQ6m1ErFDTbm2g2FTJrfCMrGjfyYtRt+GNGYBe7eeHAnShlSkRRxFfj48lRS4g0a6hqc/TpO4D0oL1sfDLJoTpSIi0QCPDwKX46XAk4PDLOemUXP8wEdXlkPZWudoeDtI1Xk/Yjs0uf14NCJsPr7zv65hPhzk97XcRf3VTBeaMTiDZrqO9yIYrw3vYqZudH8cmuWlYdauLyickkhYcSEhLa77qAlAj/1/l53Dzdg0mrRKPs77f2U7h9AQR7o6SHpAuBEZfCnnekEZfRVyNED0VUaKgKGkGbE5K7bSwcEktu1ZM9VhQNw29nTzNck+Nha6ueh1YfpdPpZXZWMLcMEUjs2Iqw9gFiY4bTPfl1HpmfS22HE69fJC9aT15wgODg/sn8x+M3RnMg+nReXtmbtF7T4WJDo5I7l4sERGkaNjkkl9dOX0voQIDzr6PU9tPawmPjsE1Px4RPGGrooNqpxhSbQeK7ko8V216As5dCRwX2gIwKMZqKNVVA7yjylrJWbpuRzvPry/hoTz0ZkemcnBSDMmYiMgH0Gx+DVilPS5SrKOo4RG5YOmbNwCjOjxkIcAb49xKZS8XCf6Kt2oba48CTOI3tnT7UGjfPnJrE0CN/l/RqlMeJr8lkaOOGYpVpGSe28Vbpp326PDNlIW+tr6fd7mF/dSufXz6CslYHRpWMnIo3ifjkSSmgSZkMmmmgMoCif16Lv34Hig2PoK3cDLpgfFFDCB53IwG3FV/sKBTtR0/oUWU1pdDY4sfu9nPlKitfT72djJZVoA3G8OUFAHQlz6UuLpX3v29GFOG80QnsrOxCRGRTeSdLd9ciihoiTMN4cmE0MuE1AscFAVqlFkGQY9YqOdxo58r39+ALiOhVcs4bncjaImmKITfaxMT0MDIjtFhFeLI6lStC2vjLKjd/Pc3MW0WfsK9lNyNDC3g/+mS0758KHjtpJz+OVqHtE1jV2zdwx7RZXP3xoZ5gJTfGREaEgXcvHkFCkIaoIEPP/yg2JJpYoN3uZmpWKLFBBkxaJY12kccX5vD6lmq8hihsmYswHFnSewHVJuo7Xf1yc2KDtKgV/Ucqvj3UxPj0UD7ZVQtAc7e7J08pOUyHgIDH60f1M4GLUiEj/KemUX8GvVpBp8cJwy+C1ffQetITtC08mzanyM4WFWPbHQyVlSC4tVy6xsi4ODv3npyF6lCN1IFcRUdQAWermihvdnLT172jYcsPt2NWWnhAX4Nt7D0UKvOoqWohPDyScXEqjDIvGp2M4PDInzi64zDGUCZagcqeRdOyI3h9cwXHpyCVt7nY2KJhbFATXqIIMfz2azLAMewtcNIdsPrenkWejHn4gpLxBAzce7CeM/NM5K28qGc0h7TpoA8BfQh6IBe4c6aWMEMFa4uaSQnXc9aIeMamhDAmJZROpxedSoYmyILh8GaEb+/q3b82iCK9mVCVCofXg3ngX9mPgQBngH87hxQyHmvfhEauoWn3OrQKLScnzmKQ+SyEGQ+C+gRvp64uqtsd7G4P4+kxj/HKkbdw+F2cm3YGqYaRBALVPDA1ArsoJ3f7zeQ2FWIffQuyhHzYDTTsk340FslA70c4WyqhbifKzhqY9qCkoitXIjpacbbXUzTiCWIdRYSHhiIzRkpaF4IAI69CFjWEN1MqaDGEs92hodUfS4ZmFHz7F6lzmYJtcZdw56peJdrHVxVz07R05DKBJ1b15sg0dbt5fkMHc7JPZVnFJz3Lr8++kHVHZQxJcXC4vgvfsaeU3eOny+llVm4kE9ND8Qdgc2kr3S4vk7LMZGSoKXWbONLQzGnP2fjq2odxiJ2k2jvQfnByT/9p6x7ltdmP8mbLTqqslSxInMVofTqlTS08e+Zgul1eDGoFkWYNwTolqT/j2WR1erlkfAo3LTnQY6ERbdHwt4X5LD/YQELWNaQlTUBTtQGv10Z7wZXctqSLkckKbpqWTlFjN0mhesKMauo7Hf36Dzep6TjO+mBmbiQbj7aiksu4YmIqzVYHEWYNob9hZOYncXXR2taG2+2iCwNmbKjDcxGXX4I47WHebkjnuc9qepq/oJDx+exgsuuXclnBBTy2pZvTC1oYWnAB5XFnsc8ZgWCzsFCzixJ7HNBXN+rLI1aumjaMd9szeXlbI9AENHHhqBhumBiHOeiXVYhFn4fiNg/RP1JotuhU/crwAbocXlZUfcOkqPmEGAZGcn43+z8ClR5Of1cS69MGoTLHkW3S0Wq1M/KkIIK3Pyb5uQHEj4Gsef26yY4x8/DCXK7udGHRKgk5lodVEB/Up509eQaaU8MRStfhN0VSG5XDX0s+4O+hY1DoO8EY9u8+4/86BgKcAf7t5IXlsSB1Ae8dkTyNUi2pnJZ5BsqQn86LQa5EpVLz1Lo6UkKN3DrzceRykS/2dDBzZBufxi1BXrgRMW4kDDoDvt6O/usrsC58H+Y+A3vehoh86c079DjFT1GE9grUShVixWYYeTmsvqdHZ0XY/TaGWU/Q3dmJxxiE7Isr4eSnwNqA3xiNsP5h9Nv/iR4IUerwzv4r+5VyRmuzkP0wLxOZz2cV/b9auyramJzRfxplV3UX18+4kAxLAk1dJYyOGIbZE878ldXkRXcyt6DXNsOsVaJTy5mRE8fRJhsPr+idQvt0j5zHzojGr5YeogERdlZ4SAgOwd+5r+9OnR3kf3oFs2etplpjJE0XhNasJt2kQK+SE2H59SXE3oDI+uLWnuAGoL7TRUOXE68/wPftRh4rTkUlT+OskdFUO7aTEh7G6sNNrC9qZlCchVOHxHDr0oO8dM4Q4oJqqTnWl1wmcOn4ZJ5fV4JOJWdRfjAnZ2hodajxqZNICNaybH8DJ2X8ilGOX6LlKE5rO8HN+5A5WokyxdAePJiJbzbywNjHGKI28Pr2vmaXbl+AIl8k2c2HiU73ccn4JNoxsUU2nKtX78Xt6wa6GTXDQ4iyvyhmUogWmyGBV1Y09ln+5vY6ZubHMTKo3yb9cFtbeWNHC7cWeDk918CSQknt9kh9F6cNi+WVjRU9bQUBMiIN3LPvPUaHFAADAc7vJjwT1j8Me9+RrGECPhi0GMPJT2L44Ws+63EYfikgQkgq6E4sTaBVKkgJ+/lpSH1kKt6OYmryF3HE1YzC2cLTpgLi1j5K56kFwICy8Y8ZCHAG+LeTYErg8vzLmRI/BW/AS7IpmRDdL7yZ6oKItSi5ZKiFl3d2cOk7klv032dFYVx5DUKz9LfQWQ11u2HGo7D0QlSHPkE88y2EQYslK4XjHbNtbdByhEDpGoTWo5C9AA5/2kdEDq+DQHsZo9xFoE4FW6OUZDztQeRdtdB8qE/btP2f83ZsIhOyC4iLKkBo2AfOduKjT3AdDD5Sla39lg+Os1DV7GeOrROSFrKm1MZV26z4AyL7aru4bWYmYQY1kWYNl01I5p4vC8mMNLJ0d22ffhweP1XNChJjpCqoMIMalUKGUaui0xrMj0OrgDmR3TVu3tzXxgPz9BxqdOD1ixTEW35TgGPWKDhU39Vvuc3tY2qeltLOIsbmB7BZQ7jx40M8fdYwrp9ppbEtCafHT1aUEbvTx+vnDeXLfbXcNzebQ/XdeAMiOqWcp9cUMzEtjLm5IeR9cyqKGivVp6+kyq7CF4ALxyT02BCUNHdT3eakrsNJhFlDUoiO9MifHn3qc7wOO4aiz2DHy4Ak8x4y5npuGDOPW9Y1ce6oEPRqRb+qPbVKjUdhxGNOZMWacraXtXFKton7xhvY0SjyVbGNI4EEhrh3MCJ2ODuOeaip5DLuHqXE6vFzAm/VX60+7BMF2p0BbB1N3Ov/lMXTT8URUJDk2YwzbBCeMQl8treOUL2aqyalEmGW4wv4kAwzBvjdZM6RfNxszeDqAo2FwNCLsZbtgLZSAmoLgYhcQv7ABGCFUkPye6dKdjc/fGjUJjS6gVLxEzEQ4Azwf4JBZaAgvOA3baONzuXS4SUMTbCwt95FeriOGUH1COsP923YXi4l+skUeA1RqAWhJ+cmEBCRddVA00EwRCJ+dR2ydkn4TUiZhOi29ivpFB0dNAy5gyTnIemVN2+RJMmusfQ7Rk1HBVFJ+Ti8DsS80/FEFNAcEsuoUAsfFdp7BPt0KjmnxXaSUPIxV4y9hZe31h7z0dJw5UkpmLqOYKlazTXVQ1hR3JtYLQjg8/v5+xmD8AVEbvvkAJ0OLwpBwBfon2zsC4gYlXrWX51Fu9OPTm8gWK+isCOZ6MGXotv7qtRQqaV4xF95Z5WdKLPkrP30mhKsbh9hRjX/XDyYEb/SpLHF6uak9DA2Hm3tOeacaBMZsR6e2PsXyrqlCqhQTTg3nfwA6450Uq56GIPShEllJFu4h1VHWthZ2cGIxGBMGgVapZz3NpXTYvOQEqZnVEooqoAT+fCLKAw/mSdW1fDd0Rb0KjlXT0plWlYYARG+PdLcR7Tx/NEJXDQ2kYTQn387xu9F5WyRHljHIWx/ntNOn8rDwFcHGrhwTCL/WFPSsz7arCYrUMKu/Ac4UG+n3eHh9RkqUvfcgbJuG4uihnPOnDu4eoOf92eP5rmgeo4UxGBVWEg1+jF2FOOJGU6sxUNtZ295cKRJQ0bkr3toGYKjOH+4jRXlXq7zuynYeIm0QibHP/spzolRsTB/EN1eGX/5vJCUMAOPj36SUO9A0sa/REQ2XLgSmgolC5eofJz1hzF/dl5PSb4zcQqtM57Go7JQ3elGIYPMcD0G/e8TWRTCMhEn3oHw3WN4kidTPPxybGodiZ3lqBqjCImM/yPP8L+egQBngP9cZHJC4zNJ81cwPS+BkooyWlyyEw+qy5Wg1CHkLACgstXOhuJmVhQ2khqmZ2FGKkO6i3uCGwC+vRthyn1Qs6NPV/60WTz4TSmvp+1FNucZ2P8hVG/DM+8FxPiJdAfnYanfiLL5AK3p0+mUqTAJZmTf3kXnzMe4reU7qmu/4MrZt+BxRmJQ6BirqCf7u2vA2cF5p5xL4oI8LFoF0VovQVVfELfrUWomPYO5xgT0Cg8uHByDyyfyTWEdaREGWmxSTsWyAw2cPjyOR49TvVXJZWRGCYjWcBZ8UUinw4tZq+SJBVnEhIXzdtPZnHrGfNpbGinyhPLwei8ur4frpqShkst63udbrG4O1Hb9qgDH7vZS2eYg1KDi7JHx7Kho44zh8Rys7aK4e1dPcAPQ6mqm3L2WGMvpTI6/i7U1n3FK/DXc+NEB6o9pf1S02ilvtXHL9HTump2NIIgoZDJsTg8p++4h0FHK0ohcvjvaJu3f4+fxVcUkheoxaZU8f5wlA8Db26qYnBn+ywGOXInodfQRxAMg4Ed2TDG60+Fle3kbr5w7lJ2V7cSYlAyNVOBTyAhXaWkoruTa4QayNlwO3ZJgn6p+B8O6r+Ti/NcokacyNS+H8T433YKBVodIpzmRKIuGRxYaeem7MvZUdzA0Poibp2cQZf71ruf5cWa8AYH3W29nStYFJCi7kAkgL/4GZfhElhbLeOeAVKlT3eHkmnF5tPntRPzqPQxwQkJSpB+gu7UW0+rb+3yGtJVrcTYXct++MNYUNaOSy7hwbCKnFUSQEvXblLQBMMcgJk2gNWIIS501vLrrLrwBL7HGOB4Oy6Sp3kx29EA11Q8MBDgD/MfjcrlArSctIR5buxIx/0yEAx/1NkifCZpgmHg72pAYfL4A726v4vXNUu7Bjop2vilUsnmRmj7ybj4XlK7GO+dZ5DtfISBTYx9+DQ5tEpfntaBY9TBMuQ+qt4HaxG7teN6UpbD3kI1pSbM4f7SXNlUrE2SpROx5Ce+4W6nERWG7NI31UtG9yAQZMkHG5KSzwNkBSi0yrZGWFivzI1xYi9aBs5O9Y/7Jkopwzh0VzojEIIqa7Bg1Shq7nWwra2N0cjChBjVPnpZPZauDVzaWMyjWzKMLcvliXz0hBiWnDg0nWetj7hslPSNHXU4vNyw9xItnD2bGkBQqrG6IzUTW7ebc0Q7kMoFn15bQ7vBw/dQ0Hl4u5fTYf2QV8VN4fSIapZx7lx3hgbk5jEgK5oaP95EcqkcRcbhf+wrrIcYn6rj2rQrumXMJxY2OnuDmB3ZWdmB3OMkTKrC4avBqQpEpZWhKvqJ58PV8fbC/dMDRZispYYYe4cLj6XL1z305ER5zCmptkPR/+gFDODusIUAzZq2SBUNimJIZzvScSKpa7SBAQoieDruHMcnBpLgP9wQ3PdiamB/vwhNjQWmQ3tyDgKDjnkMT0jVkRhrpdnmJsmjRq37brTkuIpy4iHAKa0P4x3dKVh9R8fC8TKKHTOLyDw9jdfeWIWsUcpBrMGgHpqh+LR6nDaGzClGpRRWafMI2otsO1vr+KxztbCwREEUpZ+ul78pJjzD8qgCnxeqk3eoi2lOBcdNDEDsCWdIEDsrkvHDw6Z52tdYa/r7/HzyUczswEOD8wECAM8B/D1oLhhgL7vF3oEocL+W7hKSAPhy+vBJyT0VmiqG4oZv3jink/kCHw0uNIoWMkFSEtt63fFEXgrJ4BWLCGMTM+aCO4ECHnljtsYecow1UBmpH3M21nxbTapOqeT444OZwh5mJ6XnMDW9Dvu8d5BNuwxfSN9EvIAYIiAF8Sg3EjYT8M1hVq2Ca5jCa96/Hu/hrvndEk2fo5q8hR5G72kiJjEHd1UaZx8L8DAOdGNh4tJV3t1chII3qvHb+MD7bW0uwTsXTZwxCIXoJ7S7i+w5tPx8rh8cPHgcOJ2jVauSCyO4OZ4943g/srGjnsvFJHKzrIj/W8qv+JR0ON2atgscW5mNze9lQ3IIoQk27kwX6IcBXfdpPiJ7Gi+ur8QVEHvr6CE+fUdCvzwiTmhHOTRiWX9m7MGsepE1H311CesiUnv/DD0SbtVi0SmKDtH2SnQ1qBfHBv246wBCXi3vh26hW3YLQehQxPBvvjMeJkUVx75xQoi0aBsdbkMulvK6E4wTZgvQq0iPNhNpD+qoGAwgCoXoVsl84jnCT5neVsh+P1eVl1eEmvH6Rx1eX8eiCXJJD9eyv682RunZKKmF6kbiIgQTjX4O7Zi+qHf9EOLIMzHEEJt0NadORqfuqYass0bhTZ6EuWdG7UJBhNybh9nX2abu3pouFQ+J+dr9bSlt5ZWM5hxu6GZ8WytljXmDohwVgbaQmYVy/9vtb9+KX2SUhwaj833u6/1P8vDzmAAP8B6IOS0JIn4EYOwJ2vQWfXQxxo2DI+VICiAAy4ceZNXCoS4s473kYcRkkT4JJdyModVCyEmHHKyjfm4fJXcvQGA0d6hg8eYvh0GcExt1AOdH9Hqr7arqIMWvQ6k3Y0hdA3S4S/RClj+rTbnLUaOL8AqiNONShzBC3kPndVeCxozryGZP1FYR/uhBh1V8or66msKqZgrR4zg8txtvdQrfTxzvbqlDIBO6anUVFm4Pz3tjB4fpuooO0/OWLQs59ez/LqyBE5e+nJaOUC0SpHGj8doobugmIAmadknCjVI5qVCu4YmIy8wfH4PQGiAvWISLi/oUk150VbTz49RH21HRx0Vu7eGLVUXx+6cHu8Qc4WhXOvMTFKAQFAgKTYmfS1pzFoXppCs4XEOl0eBme2LdU6B/TgzGsvaPvzo4sg9jh6MtXcssgLzpVb0n40HgzKWFaVhY2csXEFHKipaTipFA9/zijgOxfmcsiCALqtIl4z1uB+4rvES5YjiplPMlxUSwaGsvM3CgiTD89bTQsMRhDeCL2kTf2We4dcQ22/6NybItOzSkFUoZ7s9XN31YVc/3UNB5ZkMu1k1N55ZwhnDsihriIgcmpX4OrvQHVtmcQDn4iWbW0lSL77GICNTv7tdXqjbjG3407ZZZ0HzJF0zXvTVY095/qTQ75+WB3X3UH13ywh++OttBidfPZnjoeWVVB1fwvYP8HhOnC+22Tak4jqGwt4meXQd2Pneb+nAyM4Azw34khDCH/NIgeJN14QtN6xALTwo1cMCaBF7/r9Q4KM6pJCNEiCnIoWQPznoGPzwVXZ2+fAR9C8xFCdr7GqHE34xp5DUJ0HvLWo6iS5gN9RzwUMoFUvQOPTMXK9AfxOG3IO9UsjL6PSs86yqwHGBsxiVPCchCbqzicdT1rq9UMi0ulYmI2Kr+NNIMb1c7X8CpNfJn5OPd8Z8XldRFmKOeZ0ycSbZCx47B0jKcUxPDhjmrKWqTphqNNNq77cC8XjE1iXVEL933nZusCL49ODeW2b1vxBUTkMoGHZyWQXPIW3XkXolKYuGnJfqwuH2cOj2NIjI5uj0C708t1H+7t0dv5ZHctr503jClZEYiiSEmzFa8/QLhBjUIuw+Xzc++XhxiSEMRrm8rx+AOUtdg5a0Q8yw82EBBh2R4rOdGjeWbuPNw+Lx9ssbOsqPd6qxUy3H4/GZEmRiWHUN/pZHhiMDmWBqkq5cf4PSAGGFL+Mp9e8BRFLW4iQszIBIF7vzxCYX03CpnA9JwIZudFMTjOjEEjR6X8bbc5lSkMTL2aImqFvK+B7E+gVspZUepmb914Lj4pn2BfM+2KcPa440jr0HHS/0FMkRFp4oyhsYQbNawraiYxRIdWKTAvU4/BPDBi85vwe6G7FuHIl32XB/wIrcWQelK/TczxOdgWvIKjo55WuY4qZz3h2lqWXp3Ce5usfHGgmewoI8PiLT+76/JWOx2OvlOru6s7qJQNIsHvIVMfx7zEM1hW+TEABqWBW/OuI+SD08DvIdB0GFnMkH/l7P8nGAhwBvjvRRAgLKPfYoVcxhnD44kN1rHuSDPJYXpmZoeTrGilQx1OSNYcBFuzFBAdH+AAKDQIR75C7nFgCE2D/R/SccHXpFXvZEpGCmuLe8u8LxsTTavVw1VftuH0+nnolBzu+OwgDo+f5NCxJIRN4YMDDkYtTGRTm4BGIbKm3Mmz29q4ZXoGj64q4h8nJ7Gg9hGODrqH277t6qn8bLG5ue3zw7x3/iDCjgl/RZk1LG3pawxq9/iRHRusarN7OGLTMle+jewzx9DogEiDjHhVG9vNl6HwWXji24PUdjg5e2Q8Dq+fZ7+rZkRSMB12b09wA1IF6sc7a8iN1LOzupt/biilw+7lrBFxTEgPpcPh5UijlSnZETR194rJvbOtirtmZ3G4vhuH18/QhCAqGwU8PpExKSaKGpwsGhqHXCYQadYQplezqaSFToeScakhpAQrMR9+FyJypeqUH5ArEWOGEVjwKh5LCmFHPsCffjZXfFLIwiExFB43KrTiYCMrDjby9BkF5ET+jkTOf4GGLicrShysKFECkn5RSpiNv2Uo/0/2L5MJDE8OJSZIy/yCaIL0SsKMvz5ZeYDj6K7D53VLNh3WvjpF/IwtgsFgoqirjdeLX2Vl9RcA6JV6/jb2GeYMGkRCiIG0SMvP7lp7AtFKpVxAIwcsCSQbdVwdN4sZcVOxOttIlKvIWXat9BIAfe0j/sQMBDgD/E+SGKonMVTP4hHxPRopEIooiviz5yO3t8LoaxB+UB8GiMyX8icAoWwtxAwBVxdBn10OadM5NX8Ep2YoqejwER8diSCXU9TiYFCcn1WHGjnabOvRSClvdVLe6mR+ho7cxs8Yte8J8LmZnn0OyzNOJ9XQyfMzTKyrdnNy0hTqfUbEH1Xw1HY4sQcUZEZpmD84moB4bNTDF0AuE7hvbhqCDHx+kecW5/Di+mqW1ugZlBFFZvlbZPrdWNMXcPl6A5sqjqJWyLhtZiZ7KtvpcHh4/3vppt3t8pF5gmkcjy9As83L29sqmJ4dgShKQoNWlw+VXIZWKae8xUZ2lInDDVKAUd3u4IPvq7l9ZiZHm604PH5MGjXfFTcxIimY++bmcNunB3rMJCOMap46fRBdLi8RBjVDbN9B4Wcw5X7Eg0sRar8HcxyMugJh+U3Iu+vQaix0nLmKv6+tprbDiYCAINBPS6aqzc4enZKxycrfPIrzexmTEsIbx9lPAMzKjSTa0t8l/N9JdNCvd0v/r8bvk0wvPTbpc2L8A4fJBAXKPa/jm3w/imVX9nzAxKjBuMPy+LlJpjJHVU9wA2D32nlm7+M8M/oJ4iIsv7jr1HA9o1NC2FbW1rPs/NGJZFABi5eAMZLorjqiyzZDZyXse18qthh0Oji7pGsxwECAM8D/NsKPcnEEQUARO5TOjkYMxijk856XxAK1FjDHwqeXSg21QdJNE6D5MAw+m1BXFQlREVjlwVz78cGePmfkRDA5M5x2m6dPkqtMgCuSmzGsv7+nraXwLc4cH4Z800fQXc/4rLNx5JxLeHMnkq1lL2FGNTLBy+slD3LV4Cvp9KkxTk3li3113DY7iQe/LKOyTdqXQibw9FnZZMjaENY/Dj4PTUNvZObnSjoc0nm4fQEeWXGEZ84s4LoP9/bsp7TZxunD4vj6QEOf/Z+f6SPcU83F45I4VNdNuEmDTICSZhtFDVYun5jM8+tKuXN2Jp4dAUqbbcRYNFxxUgpXvr+7xwNpZk4Es/Mi6bB72V/T2RPcADRZ3Wwta2NMcjB+UcRvjqNu7sd80RCMPbSAaYMDRISG4GupIPGH6iRXJ15HN9urpGqqLaWtLBoSyyfHCR+OTwulsL4bs1bJhqJmRiWHkB1lICH03yuINio5lIdOyeEfa0qwu32cOyqB6TnhRFv+JAHH/yWODihbC+v+Ch0Vkpv7jIchftQf078lFnXSWNpsDvSnf4yioxxRY8YTlos+JudnN2139Rf0LOk6Srf468Qb0yJM3Dkrk8P13VS1OciIMpIbZcQSkd3bKHYoKDSI7eUImSfD5n/AxifBGIksJBV/y1HkYem/6ZT/1xgIcAb4U2IJioSgSAjPJNB4ENn+j2DVcUZ2o6+GHa/0/r3lWYbMeZ4qUcWDy4v69LXqUBM3TUvnhQ2lPLogl39uKKW02cGgOAvJXWv77Vte/LU0WtRZg/nQO7jCUkjJmsed05w8tqYSUZSGqB9dkEudrYmNdRs505zJ+BX3Ejf1QdqGd3GwQdkT3IA0NfPShipeW5QAsSNh33s0uNXY3X7OyDORahZYVublYIMDm8uHTBAIHDfk8fmeGt5enME7OxvxBuDCDB85Hev5zjebt/aVEaRTct7oRNqsbv72TTEef4CCOAs3TktHJsC9c7IJiCIquYybluzvCW7yY83kxJh57JtiOhwe5g6K5uJxST0l/AA1HQ5CDFGoFAJur54nDggsO1gJwEvbIURv5bXTUzEPv5Ggnf8AwOxpYkR8MBtKO9lV1cG07Ahun5lJZZudSJOGNrsbuauTsREexkZqOO29A9wxK+vfHuAYNArOHZ3IlKxwumxOUiIsP2sCOsC/QOMBWHYNeI99D+p2wVfXw/lfg+EP8mXKP52Qmu+hZjtEDYHIHJRBib+4WbQhpt+yoeEjCNX8+kA3P9bSW83Y1QD1G6G8Spoyi8yXTIR3vYpgb4WuOqg/llhsbYRv74Jzl8FAgDPAAH9iFCpkkfn4vU5kkTkIbhsEJYKjVXILPoYvcSIypQqXT8Tu6f8W5vUHEEVIdB1lScJyWvLz0OtsBPwp/fcZlATdvXoZmqKlaIKimZ03jYzYMKwuHylherx+P/vqfYRoQniqZhWJc59ipauBLyuWcUrolH7dNnV5aUNNcMYcVBXfES638dVcM8l77kRZVc4ZqQvonHI2Ye4tzJjrZYczlts3++h0SMaaI+vfZaz4PcjlKLYdZsmQd7htRe9xbitv59kzC/Acq5TaV9PJvppOYixazh2VQFywlj1NVpqsvbo2s3Ij+dvKXnPRz/fWccbwOBJCdFS1SXkCwxODaXd4UcgEbIpIvirc1ue82uwemtq7EJPOlAIcuRK5IZSbJ8VytMVFfZeLv68+yqML8nhnWwUhWhlPD+sgee+jyJY2I+YsZO/iudy9t46RScEk/YLnzx9BtEVHV0MVqthfpwY9wG9DqVQitpUheJ19V7QUQevRnwxwfP4AbTYnKkEkyPQrPgcaE6RNk35+AxnGOK4ddAuvFD6H2+8m2ZTKtYNuIMJyAg+XX8LngX3vSr5XP5A5B4ZeALvehAm3wJG+cgwE/Hg7G/izh9YDAc4AAyiUyJPG4Y0ZhtPZhq6rHrnLCqe8gOh24DfFUq7OpKjVy7h4FTnRpp5SZ5DyYvJjzXw+w0n21uvA1swPqa2tp32BOjgVof2Y9o7GDIljYdVxuT/BybD3HeKCk4jL6PWtOVDbyfOrm7lj0e088P3tvO6q5vvG73H6nIRZ+icRnlUQRJyzjgOBZLImPUSEzkj0x2dK1SCA6fB7mHyt4LahDc9khr6B8Qvz2GMPJcpdTsCYh2L70wB0Zy/mlYN9p8z8AZHDx6Z9upy9FR4ahYxuh4uoeD2H6gKMTw1lY0krGqWMNnvf0nqAtUeamJkbSZutnjNHxLHxaAsrCxuZnRdJdqQBhUzA6++bUKMW3ciUwXhSZ+EZcRVqWy0xwUbePG8QFe0uZIKMcKOap04rIMV9hIilF/fkTAi73wRE7hs0l6qA2O94BvjvwyUoEXUh/WxWUOmlnxPQ0OEkULOdoINvoHE2Yh10EaqMaahN/Q1w/1ViQ2M5X38qI8JH4PA5iNWHER/yO20U6vfCpif7Liv6GrJPkX53dYM+FOx9p8VkmgF/qoEAZ4ABjqFUaVCqYsAcA/FSoCEgiUWlBkTUJjuit52/zU3h4dVVbCtvJzFEx60zMoiTtZO59sI+/XWmzue77iiUg15gkLKGYA1oTaHI19zbe2PWBkm5A3vfkcxBjyMlzMC07Ah8VgPPT3wLHzYa7I3UWmtZ1fAKd867kfc2O2i3eTh3kJEzxZWY3n8a/0nvs3BXMJ+NrUHv/5GKb8kqWPQWrLkfOirQAePix+AbtJij2nxScs9CXfghcq8dwwkKf9RKOVqVjK7jXpyvmpTCONkhQr65DGHGR4xOCUWlkLG+WFL//TGxQTqyo0xolHLWHm5mepKcgmg72aFGdrXKuHx0NM9v7lUDzonQEGtWIRgNLM94lDdW1lLRZuLBeWZ2VdXzwY6anraXjU9iVHBh/4zjw1+iDEkjNW1y/5Ma4D+bQEAy1C38TCqBHnQWH+72c3V+FNF5p8PBJb1tJ98DYVkn7MZbu4f4L0/rCfiNtTtwBZ6GkReesP2/ilproEB74mP5TXiskhQGIAYn0548AW13PTpTjHT/KFwKY66DtQ/2CkxmzMYr16L61/f+X81AgDPAAL8CuUwgMdQAGAi1NvH8yRGUulIxaZXc/9URIjVenoyfgLJ6o7SBxszqyMu49csfvK+0KOUC981JZNa0fxBStwH8bgj4oHQ1gSn3I6v5HtrLICwTInNRK2SMSArh/q8O0enwkhGu545FZ7GnaTdHuw5Ta7+e0yecz1xDFqnrrkfWLplA5jh38cWMwWi7rXDSHZJb+rZ/SqWj0UOhdI2UlPkD1VuxZSzigN+IL/824gsuorXbxtm+BPZ91uueblQr0KvkPDw/jx0V7XQ6vUxMCyU5TI/SMIEmy2uonZ18VSpy6/R0Fg6OxeHxkRJmoKxFSnRWygUum5DEdR/uQxDgvdkahu2+GXlhKewyEjbtcZoGT2ZItIbvSlrJCILhMWq6FcGUV3ez7lAtxU02PP4ACrmsT3AD8ObWSm4+NYh+NUvGSAh4EWQD2qb/ddTtgjdnSd8VwNXdwt6WS5lT7GL1GZcQnDoVwdlBwByHLCIblP0r1trtHtQNO3uCmx/QbH8G8k4B3f+tnMBvwpIEkfnUpU5kqRpcSgMpSSPIUCnJnf8iwtoHYe97MPMxAgoNVlUYh53B2JyRZLbbiQv+8ya4DwQ4AwzwWzFGEGKE9qZuSpttPDQ9hu/KOjgUfDc5xldRHv2a9sHX8OK+vjdTr1+kos3BJ24Lsf6h5PsLsahAlzwVxcdn97Tz5J9D1eDb6MDAzZ/sx39sWqW42U5reyI3D7uFNmcrkbooRnY2EvvZqVIQcwxdZBqyzy/sTb7UhcD4m6RqkxGXwpZn+p9T/V7erE3j4VMyeGK/nXGpcRiV8OxZg9le1oZKISPMqMasU3LTkv2o5DIuHpfEt4cauW5KGnq1kk9rVDz5bSVuX4A3t9Xw7oXDiQ7S8ORpedS2O+hy+YkN0hJr0XDL9HSCNQJJtq+Qdx+rfnJb0S2/CmHhcpq8sZw+IgmPy8o/9thZcfAQn85VssD7N6rnXI/KFIrZvY3PZgisbgvlxV22nmvcYs4lNjhFChZBKv0vOBsh4gSVL/YWSdre1iTlRkXl/+QUxwD/N/jaqhCOfSYC2mCUB5f2BDcAuvrtLBp0PS/ucDPszVYmp0STbI5htC6GycFJJ+xTq5TjP0HgIyrUCMJ/YNBbv49A4yHcPj/1qiSi5/6Tr+vXMSw0m8/Kv6KwrZBFiBhCckhKnwXBSXitzTzTPYzntzQCbUAbC4fEcN+cbMy6P+dYzkCAM8AAv5O0CBNpEZItQEJ0FKK1Dn/c3TiHX0O7aEJdVNtvG7lMoM3u5p873PjFVB47Sce8zYv6tFEdeI+moNnU6fN6gpsfuPWjSj6/djSdmlqs3aE43d4+wQ3RQxCKvuoNbgAcbfi9HuoXfIHWbyU0bqRU+n4crcHDqNhnZ9PRFjocHqrbHTy+qohzRiWSGm7A7vahVsio6XBw7eRUQvQqtCo5ccFafH4f2ys7cPsC3Dk7i8RgLc+vK6Wjy8pQ6w60mx5FV3AH3/szqPababO5eeG7MrqdPhJD8nh28jvkrztXGoYXRRxNZSwpBvOEZGralaw42MjcDD1plW+iaNhD0jgQPj8VvA6GAHmxY4iY8Bfu39hFbJAWmy4eTn1dEgp0tIIhStIFiR/Z95/h7IRv75Hc4n/g5L/DsIskEckB/s/x1e5FvvcthL3vASAbfA5ieE7vlK7GDKf8kwsDLVwQL9IuC+OKVXZUERby44J+sl+tSo4rcRRsN4G7N3/ON/4OlFrLv++Efg+1u+Dzy5G1laIVZMQlTMQ+8W7yQ3O5avOtTIoay13Ji1GIAt0uK3ZzMrKj6ygvuJWAu4vXLxbodLcRq42go83P4YZuRqf88XlG/w0MBDgDDPAHoFYrQZ0IgEfZjt7WydUTE7nmo169HL1KjkmjRBDAeswQ04CrZ379eLR+OxpV/xoIi05JwGtgUM0RNhln8OChMO6d8hpJJW8RUGhxjb0V09rb+23n7W6mNCabI41W5qVFE91agqxqMwBdWYv5tD0Bj9+B1e1ndHIIb22t4rop6bz8XRkOj58os4ZLxyeTFGzgzW0V7K+RrBSmZYVz7uhELnxzZ09peJhBzZOL8snVtbLPPQnnzMnc+PF+upyN3DjNxP1fH+hpW9nm4satWpZkn0/IAaksv0sexN6aTh76+jBPnTaIl+eEUND0OaaDX8Dg8xC3v4hwnFKrsnYr8wbVUzcuh5m5UWRGmYDBksp1wPvTqrPNR/oGNwDf/kXyKQs5sWP0AD+BrQWaD0lO7EFJEF3wu7qRV29B2P0WyOSgD0PY9z7itIdAbQRjFMx5Br5/CaFoGYIgIzTvdJbMOY9ATC4K5c+rRVsSC7Cd9SWKkpXI7U2IWXNRJY7+Xcf5h+FolwJxe6tUbKCxSPlGbaX4glLYOewpXj6soGO5k0XDo/n7kAcZWb4J3SfnQMCPO3UWjpPuYb3sJMKVfpqVL3PD1l5pirvyr2KIygQMBDgDDDDAH4DJEozJEsxweT0vnzOElYea0KnkJATr8PgDbC7pVSfVhiUQCM1E1nqcto7KQHkgnNoWO2ePjOf976sBafTn5mnpROl8BK+9ibQriml0yZm9Us+oxLtYkB/LIx8e5dORZ5JQv7fvQSWMQWg8SJguhWWNFnTxDzNrlIO9dXY+KFOxsUKa4pmaGYZao2FMSgif7a7hwjGJJIbqiTCpERHZUtrWE9wArD7STF6sBbVCjvOYOWeLzU19l5N2p4kHlh1g0bDYnqorrz/AjwuZylqdNBfkEgK05l/O22UGwEFDl4sOh4fZTW8gHJQ8dxwpM9EVX9PvmivtjTTbUvn6YANev8iIpGBkql9wET+R35XX2SvwOMCvo70Kdr0G256Tkrt1wbDwVUid+tv68TolBfGchRCeCZ01YIoCjwMuWgVt5VC5CX7whhL9sP9DZBE5yKIGAT8f4AiCgCFxCCT+h3g0OTpoqCik3h+EISAn9asbkI+4TBpZBPYPeYizv3agVcq5fKiecGs1Y5R21Ltf7ulCXfoN3vA8Fk7/C9trNvN9024ygjKo6q7C5Xfxj8NvMmZcLpD2/+cc/z8zEOAMMMC/iYioaGZEQX6MiYZjfk1yGQTplIxJCSEhREej10/jtOeJ3PYQssrv8IXlcGTwvTyyxoM/UMFL5wxhaEIQHQ4PkSYNoQY10Z8vAks8BKzcMjOeHWVOqtvtdDj9tNo8vN6SyVWj7ibywAug0MKQc9EceIeTqrdRNvV1WiIG0eE00qEy4zL5aXfXMzLRzBXjEhiaHI5aqSDSpGbuoCiUMhmxQRpKW+x8e7iJHRXt/c7zSEM30RZtTyIxgFGj5N5lh1DKZTjcvVNoKnn/fIdgvQpt/BA2TfyQt0q0rC2XRmdkguSt5Bp0HtpDn0LAR4fdi5B+Ctp9b/bpo0RI4Mt9khLzV/vrefW8YQyO/+kpCwBCUkCp6+vbEzVoQOb+t9JUCFuf7f3b0S6JZganwE/kxJwQuZpA2gxk9bth/SO9y1Mm40iciq5iIzTs7b9d1VYYcsHvPvz/axzdbXTZnNjQctsGOXtrqomxaLl12ltMqXgGY9YU0IWwpd2ETuXgwxmQt/0yUGggenC//gylX+McfjEBbxjTLY9R0QRnxYu0sJmvq9/H4bHR1dGKOejPN4ozEOAMMMC/maggPVHHeQMNivtxxUY8/shXqW9r5Z393byxvBOzTsY1k5N5eWM5wxODMWuVmLVKgnQKOOMdUGhI83oosx0hPsJMTnRkj0XEOwfsfGsawppFb2Mo+gS+f1kqJx1zPUn+SkIUkVg8+3GL2USlZjI+NQi93ohG3ZuIGBOkJ+bYMZc0dfPs2lLqOh1MzYrsowEEMCjWwndHe0URBQGMGgXtxzRwEkJ0fbyizh0Vz7vbpVEphUzgvrnZ/H13I8G6BNaWV/b0c+n4ZD7dXUPo+AyGn70UKjZiVEFN+oXEWhvRlX0DaiMNw+/guSIjIJ1/q81DSZPtlwOc0DQ451NYfgu0HIaUqTDtQdD9wnYD9KW7rv+yluJj0y7HApzmo1C1CWp2SB5vCeMgMgdRFLG6fOhUchTd1fjC81CtuqNPV0LZOuTDLofgRECE2p199xWZD/8Nmi+iyJHySl7cUs/WagfjEo3ceFIMF3/QRV2nk9s+O8LbZ17JaOcOxJmPoq2RceVQHXnbLpHUiVX6EwbfjsjhONrreWCZleIm6SVj3RGYP3QCpyTaCJEZKW9oY7Be+6dLoB8IcAYY4D8AuTmCaHMEc9WdjMnxEKxTUd5qI9KsQauSkxttZnDCDw9eKadE6XUzqaSCPRFZiP5O7G4DkSYNjd0uGrtdeNvqYM87kDheGpnY/gIynwtz/BjImIWq/SgyYyTKiJ+Xc7e5/eyplpKI0yIMZEWZOHLMXHNsagjBeiVnj0xgxcEGLDoll45PJlgrIzlUT3mrnc/21HHnrCxWFjYAIsVNNm6alo7HH0ApE2jocnHhmCRqOpwMii+g3eZGpZCx+nATpc02DBoVRE+ClEmYgNKqdjbnPYIr6gqiQ83ctqaL8ta+Lusiv1LQL2EMXLBcSjzVh/7pHgB/COb+tgSEZ0uWAiDl56x7CIqWSX8f+AiSTsI5+xm2NatQiU5itT7M3hZ8Ch1hMkW/cm5V+1FYfQ8seBmKV/QEVWJIKkL6jH/jyf1xNNSUc9nSCmo6pNHcLwrbONDg4M7pKTz4TSkef4Bqu5zRMifClqcZOfsLWisP9jqZe+xSTllkvmRTAYhpM1DlzMXfdoTbCiJ4cq+GI82SkviyPR0suewS1tc7yQkWJVPSqEH/X879/xcDAc4AA/wHkRNj6fk9N9bCvILYn26sVKMNz2bCh2dRu2AZlmgTTyzK53B9J61dNgSzVhpOST5JesAcQ6jeCvoQxJxTkSl+WczdolWQG21md3UHf/n8IA/OyyHCrKHD4eVgbScef4D4YC03TE0j1qImpfozfK1e7p17OvctO0xxk5WXN5by0tlDeXNrJTsq2vtMdeXFmDkltJ5M2wGqLaM4bW0r3S4fYUY1jy3MIyu6b5LwkIRgStRyWo0mrF4fs/K0/HN9Wc96k0ZBVqSRxtYOAgE/KqWS0KCfSDQGacRmYNTm9xORD+Nvhi1PSxV9hnDJ9DIoQVrfeLA3uPmBhn3sbRG55bNDtNs96FVyrp+Sxq7Kds6dsZLR3StQyARoOYrYcEAqGzeEU9vYhHbmC5g9TciVKkoU6Wwu17IwyIPlP7wUurrD2RPc/EB5m5MoQ+930KLXQNa5kDgWf7dARmIs7DCCWzKWZds/oeBsGHmFFPA4WlB8uAgjMEWQkTbhSc76PpEwo4apWREcboAAGmwqPQT6V3X+rzMQ4AwwwH8x8sSxcN4yosvWEx3wISRPZPSgGOTdrdBaB/Nflvx5fkz5dzD6WmSy/togPyYx1MBN09O4/qN9tNo83P3lIc4eGc+c/EiizZF0OLwEa2WkN31FuSOO2sQF1Fn9NDbbuHhsEgaNAoNaQafDS+oJfKCGJliI2ngFNB0k3RTD6guWsqvbQp7FS1z7OtjllMQP40f3lG+nRZp70iaD9WpCDWpWHGggI1zL6QUhdFm7ufmTSgIiXD06lAlRVahCkjCZ/gumMv7bCIqD0ddB0kng6pCqgSLzetf7XP02qR90Ddd+WtozjWn3+Hni22KunpTK+Z+X8OnckQz+9nTE6MGI857D++2DrBr6Fn/ZaKN7vZ2cyHD+NjeFNSXdLCow0mZz/ksBjtvnx99UjFz0IJerUDTvB32EVA32r4oAWhvB0UmIQXPC1bJj4pNz86OIDzFIuTbh2cjcnRytrSN65t8Qvrq2Vw5CY5aMgDNnI2x8orcjMUD81rt5+ZRv+LxSxZPf9nrAXX1SCubcRP4AXeX/KgYCnAEG+G8nugDZcWW5CgBTOF61GeytKL39fauIyMEuKumy+on9hcELQRDIjzHz1gXDqepwYNYoCdGraHd4iLZoCdPKiGnfxhZ5AebIJKo6XWwsacGsVZEapqek2cqLG8q5YWoa8cE68mJMHKyTprgSgrUsSnDBHqmcXuiuQ9N2mBkhMSg+WiwlrIJUPnvaW5Ayqd/xDYoLIp8Szmtbgrx6CxSW0JFzAWMiT+HtAw5uWmbjlZkGJng7wDTxN1/eAX4FOgskTzjxuqBEiB7S63YNNOsz+vmUef0iXr9IQISDXXoGy1UI9XthxS20nvQk173f2ZPHdajRwdbiOq4NK0b+7ReIoWmQORcSx8FvVKu2tjWgK1qKevNTUsJ5wdlSMP3eAhh1FYy9AYwRv6nPHqp34K/YiLxwCUkh6Ww9+zJmf+6i0yFNwZ09NAKZUssLZw8hJVRPRpSpZ9PUEBXCtjcQ7DVw1sdgbQJbAxQth4Z9kDYVb0QBLks6xvpNkoGv14EgCLy5paLPYby6qYKhiUEDAc4AAwzwP4BciTIyWyrhlcsRkychlK+X1qlNBAafj19pwdp1guDnBBi1KnJjVeTGWvosb+p2UdTuwKnN42CDE7Wrg6e+PdqzPliv4p452YQaVMQF6bC5fVw3ORVfAARBJN+6mehlZ/TpUwh4kRcvl0q2J90tKTF//yIcWALmeAj9kUO7oxNh77vI97zTsyio8E3OnDiSdw+aCIjwQamCqY6vqA3KIzbsP1iW/3+RiGyY/lc49DnUbIfoIQTFZWNUl/XoQYFUNadSSMGJQemXysABobWYgCDrYy+WHKplQWA18uVPSW3K18Ohz+C0dyQz29+Apn478tV39y7Y9YY0apM2Hba/AEkTIWPmbz/v7gZ8hZ+h2PEiAPKWYqLL17F68VcsLVeQGqYl2KhCb1SSGdG/wknv64TyFZKcQdVmGH013XYX5alX4U9XoYrM5q26k9hXF+CUlHNYoNlN3KGX6LQ5+0kxePwBXB5/v338rzMQ4AwwwP8ywQkQnICgCSLQVgLWBgLmeNzGBCzRyTR0HfmXuu+0e6jtcHLY5aWp28228rY+69vtHhq7nJyUFsqOynacHh+Dxuno9Ii0dmr4vCuVlDEfMbjzWyIOvgQqPWJYFj57Ld55r6LZ+DAyRyuOwZfgSjiJYL+Uw9DY1kGz3YdKLidNa0VevqHfsYV0HyZYP4FWm4dInYisu5a1hxoYnakgLcKIIAiSE7MgA3X/qbMB/kASx4IpHoacByoDCSHJ/G2hhhuWHMTjDyAT4PIJKaw40ECUScVgsViqGMqeD0otMq0FQejqCXIuyFEQtueFvvuwt0LLEWn05VeM4thcXgrruhhR+V3/lUXLYdQ1UPIt2Bp/sS+fP8Demk4+3lmD0+tnRnYEk0LaMO5+vW9Djx1ZWwllLQmkxTTQrVYzNKL/qCQgiRtG5kGlJMhZ5zXyQPdcvt3RzpUTU/hoSSUdx0aC/t4CpdnDeXxaMjEthRjUcdjcPoxqBdnRJhweHwkWBVibwRj+i+fzv8JAgDPAAH8GIrORRWYDkjv6H/XF16nkBOuVvPd9FUPig3B5+78lymUCOTEW/rriCJeMS0Ld1snXJVqW7i7vaTM3cw4PToilTJ3Fq5t8PDFiJKaP5vXUlus2P4oPGc0FF9JY2cyz31WxtqiZcKOav8zOZGbGAlTf9/XY6jSm0unwolbIOCPBRrcwBbPWTFO3i093VbMoQ0Fa6xqo2wuDzoTECSc0ahzgDyI4Dugtc56RF8PycD11bd2oVGpqOpxcPDaOYcoqkvZ/BdmnSLkmXgdR8d/xxekPcMrHkhyB/KesNMTAsZGfXw5wNpW0cu+Xh9g2MbF/a0sCdNVIOV/m+F/sa19NJ2e+sr3HWmX5gQZ2XZWCUakDf9+pOH1QOI8NbpaWK6J/ulO1EabcL02VBXxsV4/m2yJpylapEHqCmx/46kgX16aKpO1+hOdOXcPmaidKuYzdVR0MTQiiqsuPWfAQ+ydKQxsIcAYYYIDfTVyInjaHh4RgHWuONDF/cAyvbeqd/1crZCSG6Lns3d2YtUompwfTaRf5bE/fHIGvirqZP+I0Ln5nNznRTmQNe+kzJwGYDryJPfssnt/YyJojzQA0dbu54eP9LLnwEoYWfYbQJbmL+9PnYA0ZxF0TXAw3dhApNvJIeRKh4XbMCUryYi1c+nkRH+XaCMo+Da/Ljazye9TRecj1AxVVfzSiKOKs2YuyuRBBrsQfnos6Jo+0qCDSon50ves6Yej58OnFPYuE6q3kml/liYV3IsqUDAkXEBVXImz+e+92+lApGV3eX9HYYbfS1mnFoBAJctbi1gTx+uYWWmxuWsPHEGGOReg6VmWk0sPgc2H5jTDrCYgq+MXzW1/UxPmjE9CpFeysaEcjh3ohHEbeTuh3d/a0C0y8HfWGhxB+yEfSBeM7/V0UieP69Gd1uPE5OlAHZxE4fw1aey079+oBSQ5BdoIATymTobDE4Zz3EvE6FfYSGx/trARgZ2UH3xQ28vfTBvEzdZn/cwwEOAMMMMC/hEoGZ49KYGNJK41dLq46KYXvjrYQbdGweEQ8gYDIa4tzyAyCELWdgx5NvxwBAKvbT4xFywVjEgl4y/ut92rD8YgKVh8Lbn4gIEJxu5+UM77A3FEIghz50ZXsqPNi9yv4tMbAF0fldDrsZLc3Y9YqmZUbTmW7m+LohYzZdCWGhl0AeJKn4Zn1BNqw36DAO8Av4infjO6j03pMYBX/r73zDo+qSv/4507vLZPeQwohtIRepSlFESxgwd7XVde269pdu/7svYtix4KCgqI06b2FQAiEkN6TmUxvvz8uJISwuzak7P08Tx6ZW84998w49zvnvO/7taYRnPomitSBXQ8WEH3CDkO+6zsm9buO8rAdS9CB0H2y6E+16zuxoGD3M8Da1ZKgeF85zy3Zz8LdreTG6nlocjauNgUpNhfry1oY8X4DC2e8R6JnJ7KwH8GejSwShumzIK4PqLRHvKe1pY1sq2zFrFUQZ9by1A/FOLwBHjw1nrMSWlDU/YAvbRAl2o+wVi3BY0onQafoEDcA7ibka96ApEGgEIVZbUUJpXVOVpW7selUDMyMxkkeA+Lr+OTAaXUOH9mxBoprO6qHXz/QSMqi65ENu5FWbT9mb+icFl7r8FHW5ObXRSid2EgCR0JC4neRGW1k5/Ya3ri4H0XVToKhMJcNTSMSjjBnUxWPDfSgWv80ivrtuDInk51/OT3ijeyodra3EWsSl4YuG5bGnV9uY/iVBRhMScgcB76kBRktQ/5JAAVxJg3VrZ1Tj1UyGRUhEw32HqypXMsZaachrw7x0orOMUE2vYrKFjd6QVw2kAWcKA+IGwDV3oW4SxZB9JVI/DH4PG6Uq57v7HDfvA9Z6WJI6AXKwwSEJgr00V0bis5Gt3sumuxLqXcrsGf0gqQCyJ0iLk2Z47uc0txYz93flrKu3Em0Uc1Z/VL41/xSKlvcnN4rniuHp/P28lJGz6plQGoGD0/NIzvuP9RMOsCqPQ1c98FGUqN0XDk8ndu/3oZcJvDWGTZOqXgOR4OJrfbxOJsbSUjOZq3Qkx7xWhK2PNqlLaFuu5heb4ihrqGBrRWtXD2nI+4nanULz07vid4aw/i8AN8X1vLxuv08N70vnqZKihu8DI4O0L92FvKGnUQKv8I4ZiJHWsRTK35dhtmJzjG524ULF3Lbbbe1v968eTPTpk3j/PPP56WXXjoWXZKQkPiNqFQKBqeZ8fhDLNhejUopo6rVwwuLS5ie4UU3+3wUe38EZw36TW+iXvIvXjg7m8m944k2qBnTPYanpvVhw74mimucBMMRrprXTO3UT2k47UUaRj5Kzblz2aXpi0ke4LpTMpAd8u09MN2GXS/DrleRbE2j3F/L9JKXKeiegkXXsVyhlAuM6R5DdrQWZcBJn0QDuc6VXe5Hsf/nP2PY/mcI+tzImvZ02S5zVILX2fUEW4po59BtbMc2lQF6n4ew6gWiFZ7Ox5tijyhuAKqbHKwrF69x0eBUHp+/k437m6l1+HhnxT4c3gAfXzWQdy7qjUUr55452/luw24czQ1HbC8SiVBatxV3YCUvXaDiltGx7Kx2EmfSsOhCC2N0e2lSxHFH6zlc+IOMa38MMO2DEgwqgd31tYSOUEk4nHka6MQsqpCnladXdR6TRpefNfscPDC3kHMKEpl97WA+u6w3g9LMnKddx32phZwmW4PNHiuOkyGWtPqlXDK4s61DklVLVrQedi2Aqs2dBedJyp8+g/Pwww+zfPlycnM7MvLvv/9+XnzxRZKTk7nmmmsoLCwkLy/vz+6ahITEbyTBZgRB4OyCJB6fvxOnL0h+soW+mpourt3avd9jGFTOo7YFVOefSbTMhcnUQP/Tc/lqUyUxJg2BUJgpH1dy4cDB9E+zYFQr6ROtw6hV08tRxu2n5eAJhFDKZfj8fhJNCuJtYvTk6annEK2J5eVdd/PexY+xvsJFoyuAVadCKYQ4JT7M7upWnh3gQNnc0uVe/MnD+bUl4yqb3fiDYRIsWtTK/14d+n8JvcVOqOc05Mue6LQ9Et8XQWs58knJA4kMug4heSCEg0AEljxOxJJKRKkHfll5A61KgU4lx+0PEQqH8QXDnfZ/tbGSST3juerDbe0Bwmv3tfDiOVlM7h8F7mbC1ZvA3YDM1o0NYTd/WXYb3pA4g3hV9oUMSj+PiwxVJM69EwZdy3bbqSxc19E/byDMa8v2kRNnZNSQ7kQNug7Z+ncg5CeSNZ5g3lmoDmR9hWVKHN6ugfoahYzrT8nk3RVlTOuhZZypAs32ElBrYd8K2DEHd+65VE79FkGtp0Vm5ZKYlWRN7cmPuxrpHmdiaDcbKSUfwbK7xeDp8Y9B/ytBcXxXgP49/OkCp6CggHHjxvHpp58C0NbWht/vJyVFjFQfPnw4q1atkgSOhMQJRoLVwIzBBgpSLHiDYcwaGfLaZV0PVGoJK9TozXaygnsQzEkQ0521hWX83/fFNLsDmDQKrh+dycwV+0iwajmjpxWdRpyNyU+2oRHqKGkMolMpyIoxk5rU8Qu+d3wavePTON0xGZ1CRaamlTZvkEjYj0XmRqO3kmiNhiYXzXFT8ZUvRV0lGjh6008lkvFv0naPwO6qBnY3+Klq9WLSKtFXO8iJNZIZ+z+UqvIL8Oeeg9pVj2zzB2IpgMHXE04ZjPyQh2t9cz16RwnytlowxiPo41FVbxFjbAAUakKTX8YQkwqNv6y8QXJCAneNcXDPgv1HzLwyahTUO73t4uYgr62qZVxiCM2mt5Gte1PcqNRim/QYMqFj4eOt4o94d9RQEhfdJC6TKbQ0+DRA58ypkjoXT5yZiVzlpTZ/Bpas05ARIWCMR2HpyNIyWexcObCZhxZ2xM/IZQJJVi23fLaFEak6RtV+iunHdzoa73kOZRNm8khhFD+8X4laIeOyoWmcmjuE0fu+pMgyjL01LQxR70OjVsCoO8HfBj/cK/rUxfX8RWN5InLUBM7s2bN57733Om179NFHmTRpEmvWrGnf1tbWhsHQUYNCr9dTXl5+xDaLin5fzY6jidfrPa77dyIjje3R42iNrQbQy3TIbckEkoagrFjVvs819B+UReKoS5hOjNJLa6sD2f4abvqimFaPmPrq8AZ5dmExH101CLNOSWNDHWXODhdzAcgyy4Awbqfz395Dy4H/qtU6dDotFS4XgYYA0AbYEQQBw4Q3UDnLkcnk+HQJOJp9xPl2oA82EkGgVWah0dt1VkZjtvP55gZeX9YREH1uvyQUMoGIq0H63B6Gte9NWHtfBJEQDrmVhqYgNInjo7UaSKpchGL+P0RrB5WByBnPEh51L/Q+n4ijmnBMD1oN3agvKvpVYzs608gnF2XjRt0lMPeKYekkq128Py5EUKbis1INC3a70MpBVbES4aC4AQh4SFv6DBf2m8Jbe79u39zoqYOCS8EQDfF9SfPHAQ4O5bRMPdlr7kIVk0kkayIN5jTCETmtzT7CTRWY9Bqc/jAtbj+juttQqpS8t7aOGL2S64ZE88CB4pmX5ASxLXunU9vhqi18oPgrP+wW43Z8wTCvL9tLz0QTNlsPPv2pnK8n+un+42WiCFObaCy4Cf9ZszF5vew/MI4ajQaVRkMwGDwuP7eHrvr8Uo6awJk2bRrTpk37r8cZDAZcrg4nYJfLhclkOuKxv+UG/yyKioqO6/6dyEhje/Q42mPb4ohBcdrjeGuLkDv202DswePbDHz3/ToGZ9j4+6mZ9MvNZW1xZbu4ATHo+MrhGXyzpYpWb4CRWdF0j4unR4LlKPU0o/1fidVbYcsnYmVcrYWYflcQkzkWojpXUP55Vw1vL++c7v75hgqGZERhSYkj6PNKn9suiNlp0Qf+DuIqXY7iu9s7asb42xC+vQ1h8vNE9v0MfWagTO6PHbDHJv7qz23igdzotBgrC4vqqHF4iTGqmZrURtz31yHUF4HWyoCsqWT0m8qA2DByV12XdmQt+8lQda6EPUQbD3uXwMCroHozPYuf4bExd/PIijbafEGGZli4OWM/6sVfQcztCFUbiBl0DQBxMeBubebjdftpdrZxWXorploHF6Z2Y7KuAe2e7wnJpvBWvwZ8ggqTydKlT81JY5hX1NJl+56aFuS2aKZ0h8wtd0EkjC+2gEU9HuKR1X6aVvi4uL+ZS3oEUeuM/FAaYFFJBb2TzJzaI5bc+P8ebH28c8yzqAwGA0qlkv3795OcnMzy5cu54YYbjnW3JCQk/gAsJi2Y+lKiSufnkib+9eUODsZPrN7bxKLiRvragkRbjGiVcjwHCgVePiydp77fhT8kxkx8vbmKJ8/pTWaMEdUvcED/XeycC6tfFv/trIYF/4BzZ3YROK2eAMEj5LsLgFp5zL9aTyjkzuouBfHwOURvpfXvgD6aSFQWgu73PXQzYoz09/h5ZuFugh4XcU1vI7hqYdwD4KzGGApwW0YbwV0/QM/JMPruAwX51LDlY8JqEyUBMaZMq9Dyr34Pol35OrTuB3t3+GgaukiYC5zXMHzotbhVUSRmZ2B463RIHig6q9s73+eumiYCnjZuCb2DfM7n4sZB12Ld9gWMvB2+vpJuBwxLQ8NuI2JNR2juENaGYDM9Y7VdMgvTTAKLdjeTaABFdTUAW3rczl/md8TEvb6yGk3IzN9St3Bhy2ZOter5OTyaZ35o5dnz+mLQdK0pdCJxXPxf+K9//Yvbb7+dUCjE8OHD6dOna6S5hITEiUubP8zq0qYu25cW1/PXflrSouN4cEoP7vpqO9EGNXvq29rFDYg1/77eXEn/VAvp0UcxvqWtTpy9SSig+dRnobkU5CoixnQOd7CKNarJsOvZ29AxA23RKcmI1mHSKqk8vO1IBGftXiIKDaaohHZndAkIGxPEAn2hQ6rzqo2g1AEg7JhDKO8c5L9T4AD0S43iqXM1GNrKEL5YA0P/BkufEI02Afn+1cgnPSX6UO2cJ54kyODUh5FpzVxkimd4+tlUOpsRANfAa5D1mI4xHESI7wNVm6C1guRV94rnJn0Jcb0h90xYeB/06uy9Vtni44LEWuTffN6x0VkDORPF6x/ixi5f/SL+aR8i3zwLednP+JMHEu4/gxu9FtaUO3F4RG+v/oka+ptbOTO3DHdsX8LaC5BteJutbSYOXz77aIeXi9Vl2HqejWfXBmJVfi4ckC2WfAiHSTRrcAfCxJrVWHUHKn2HgqLwU+l+9/txNDkmAmfQoEEMGjSo/XXfvn357LPPjkVXJCQk/gTCkQjpdvHL0KZXMb1/EnaDmjiTBq9Cj04QmJAXi1WnZn+Ti5J6V5c2AqEILn+ISCQi+kgdDZRa0EXjHPsY1tlntbuZ+2PzaZr0ErbUjoDMOJOWuybm8Obyfawva6ZHvImzCxJpbHXBYXLIWVGIovBzjFtnETQm0jr8bkKxvbFFxx2d+zjB8Ji6oZ7wBPLv74SgTxQ24x+D1aJRJda0X68HfW0Eq7eJD2J7NopDUsnjLXrC3jBknQotZaK4sWXAgCuhfJ1YaPCguAExdmXl89B3BoG4PN7Y+job6lbzXs+/YvnmYfFzIgjQ7woxVXvfgVIDuijRiXzMffD1X4mccgdCbK9O3UywaFE31nfue/ECOOtNWHhv5+0hP1SsY/uIW1idlMkGxx4K19zDp+nn8/UwNSWkoJUFyfGuJTqcCwo5hp2zwZICZzxP9GGXAUiyaND0OZudPj2znHoS5Drmfb+bYZl2Npe3kBKl45z8RDaUNdM70UQvoVQUcb4WsXJ0Yv/f7rZ+lDkuZnAkJCRObqKNajJjDIztHs24HnE8uWAnze4AMUY1D03No1dEToLVwNjcGHZUOUi26fh47f5Obg2jcqK54/NtPHx2T/KTj5KdgtqI96y3UCx6tF3cAKhqNyGvWAOHCJxg0Me8bTXkJZjon2qluK6Nh78t4oJ+8QzJjqc2bGDnpgoK4g3EbfkQ9Tpx2Uvhqsf85fm0XPgda+raMGvkpJoEfB4XqPRYopNA/r/11RwVFYdPO41gdC5KZzWCXImw8iWoWCtaJwy4GtknM2DG52BL+6/tBRv2Il/8IIrCrwCIpI8kMOYBlMn92o+RGWOJ9JouLoEB9L9CzCyKhMHetSIybbWQWMC6+s2srvmZ81PGk7vy9Y7PSSQC698Wl7v2/SwWKxx9N5QuI+JphnPeZL8yk9SYzv5TOQk2IqHD7inoE9vodS6seA5Xxum0mTOJ2v89rrgBfLB7NgvKOgTYvxpXc3fCeEbV/IxSIYeYbuBtgm9v7bA8MSUy5pyPyNgUYG/DgYrSMoG/91dg+HgKwbHv4w+q+H5HDZN6JRBjVNEr0czeBhdqIciZUeXoA2FwVMH820VBl3MGYaWeiKBAboj6r+/Ln83/1v9FEhISx4Rkmx63L0halI4Zb61tr0dS5/Rx15fbef2SfiRYQRAE8hLN6FQyXpvRjw/WlOEPhhmdE8PColoKqx1UNHmOmsBpaqhB53WirdvUZZ+8aXf7v5sbqylzyIkxaShrdDMsM4p9jS5C4QgZNhVzNlVy15ztAOy+KQ3llpmdGwuHaCvfznnfxyOXCdw+ws4l3bxoKxbjc+cji++LUqs/Kvd4vKLWmSBtKADh/WsR8i+CPtPBmg4rXoTG3VCz9RcJHGHPTwgHxA2AULoMedHXBGNyUagPLKvooxHcLUR6TEGo2gAV60VxA6DQiMtSkY5lUtJGgC6abWViRmBPXQKK+l1dLy5XwYjbwe8EbwusfBHB3QjbPiNl6mtAZ4GjN5rxxeURPvVBZEseEwvwxfSgueB66gNaqmIvZVeDj4/WVjAy4wx6u23oles6tbG6YStPq+O4M/UcEuZMg9OfgeXPdPZzc1RiqNvAewO1rNcPJxDwk+vfTt7Ka9iTfycXfd2KwysucW2vdHD50DSaXT7mbKnmTaWMfwwxMb3mOeQGO1Xn/0yCsg3toruRzZpCJKYnnPEMpAzieEISOBISEn8KOfFmfthW0aXYWqPLT73DSyAURikXa4ykRxspa/Lg9odQygWeXriLQEj8sj6a5ebVzbvR1G3EnTUZXeOznfaFk8Qv79aKXWxyWvjnl1upc/oA+L6whr+O7kb/FAsj0w2Mf6MQgJtHxKFo2C4uVfg7L7u50AAQCkd4Ymk9A0wq+i+8G7XaROi0R6D3ef+z7uaygAu+u7VzTA6A7Jc9smT7ulajlpUtx9fW1CFwAOyZCOGguIS0/ZAYmM0fijMxq18R42FShkDmOFj9CpP6TefT0rlscVcyKaYHyrodnS8U9MKK5+DUh8GaAuMfFd//+f8URVp8Pqg0nU5R25II9L6IvSnTKXVEEJDhrA7y4LxtNLsDROlV/GVUN15ZsodyR4jpQ8/g672fEwyLgkQuyJnabRo6pZmI2oggyMDTNeYNn5NSTR/un1fE6ol16BaJCT07Iyk4vJ2DlD9au58rhqWTFqVjcEYUK+p99My6jrTmFdR5oVmeSsrIx2nxBFHKgSY3yfoyFFGpv+g9+jP43zKmkJCQOCaUN7nZXN5CnNrXyWYBQKuUk6iPtIubgyRbtNj0SlbvbWoXN6f2iCXJ0vnh8EciD3pg33IiMXn4sycf2KjCPeQ2/LF9cfuDtLY2U1jtaBc3B3l3xT5uPS2baE2wvXDcNVltCPPvEJc/DiEclcUqd2df5yrXgYHxOZDPvREOf3D+L2FNhz4Xdt5mz4YjWB0ciXC30XDRV3DZPBj3IMgURBLykesOK0HSUgZ7FsHnl4lBwAcDfZr2ws/PiG7iI28Xl8l+egCKviYvJGdK0ii+qljEjiFXg+FA/IlMjnvE3QTSxhC5bAGULoVPLoSvroU518HEJxAMcbDuDdi/ulM32mr3UVuxhz37y7nzq0L84TD3zNlOs1sUeI0uPy/8tJtp/ZJYurue5hYzTw59nUtyr+T87Et5/pQ3GOyoxLLwH0Qmv0CDOR1fv86fOQQZwfgCbpjfiMMTJKjsCNZXCJ1/dIC4fJUVa2BQRhQ/FdXh8ARwRffhrB2ncMHHZVw+ayvf1NpoCSlJXnQjsVtfp7n5CKLqGCLN4EhISBw1wuEIi3bWcevszTg8QXZcJHDvCDMvbnBzU4GaVLWTtFgTsapGILHTud1ijVw/qhunZMdQWNlKboKJvHgTPRItv6oPbl8AuUz2iywU/JooNPF90H9zFaE+F+E650OIhNHKImCJw9nmQencTyTSNd4gFI6gUsjwerzEmTTUOLzIA07wNMO2z8UZAXcTKLU0xwzmoQ872w0kqA4LrG7eC4n5v+peTxpsaTDgKojNg4YSiOsl+lOZE//rqTSUItPZ4bvbRKGSMgQu/gr8HpQL7iCcUIAsvre4nOJzARFxpmjJY3DWG1D0DYTD0OscWPo41BZ2al4diXC3NosZ3dII+Zy4Jz5JOKwgpI9jca0Wa22AUxS7oXh+x0muBrH0QMGlsG8ZAbUFp0wOcjWmoA/dvJsx1G4nSWsle8TDbPLn4PJ3tmxweIMoFTIMKgXdog0gaDkzMUw3ZRTyxl1EKtcQTh9OhS6Hb+uWEJQ5OW/I9cQUziGkj6aq3+2sqrBwYW8Nr62p56eWOKZ2G4OwZxE9gkUkmnOpbO1IYb/11GyWFtfz9eYqAMbkxnDfN4VUtojxO05fkEe/28nN47JR9H2AgkUzkIc8OM0vYYzu7IN1rJAEjoSExFGjtMHFXz/a2L4s5UTHBXVPc8GZl6BZcI348FcZCJ3+LNXaNOKjOv/Czk+x0SvRgqtPHEa1Ctnh0z//gdb6KoxNW9FWrAeNkWDiQGQpg/9jG7KYHkQCjTjHPMZ2WQ6t3kTMBi1RaohvraI+HEVM2jAKHAosOiUt7o4llEuHppEma0QTnckblyRy71fbqFVZSLamIdRuh9rtYmyHUkf4rHGYtSGaXH4xBmeoldw9j3XujOH4zEz504jvDd5WIo0lsGcRgsYMSgNEpf3n81pLEb66usNMcv8qIgv+idD/StjyEcKWj4hkT0AY9xBUrofggeMaiuGrayBlKKGMU5CZUxDCnUVGJCYPoXg+WncTuQn54G0ATQwEvOyrqeDFzVk8eWoUNJd17VfNNvH9BxoVdpbu8NASlnHVvtuR1YrxWniaSV9yIy3nb0IpF9pnLkFcmhWAi4ek4gsGGb78YuSNe2H8w/DVdaJ7uCBQljyRtwpfwB/287UultP7n019wMFgfTT//KKcDy7I5LU19dzyfSOGM/7OqIIrSJDJmZkSw+IqOcUNfoZ2s5FgM/LY/J3t17cb1JQ3dTboDEfAHwqzymWmQGtFXbaEoKsOJIEjISFxslPe6GwXN5f3syOoZKiGXY/sy6tFcQPgb0P+zV9RXfQTRPXu0oZCLsOs/eWxKP6gn5KqRsxtZfh8IdRZUzGXfoviu1sITnoOWdrgf3uuQa/Faczgq/puWNQCBnc5TmeQYiGOXmnR+IM+Fux14vQFeercPmza38zq0ibO7BnN2BQBpcGIQasmwy7jH6dl4m8rJnTa48hXPINQuZ5I9kRC/a9E5Wll5oXdcbU5sMp9ZCibUW3qsLNgwNUQe/J6BP0SwvtWIPtoGsJBobLjKyJTXvrP6eKeVmjc08UpW6gtBHPHkqBQvIDwmHuRrX4FonOgx1TYMUcMym0oZmv+NB7f+BQfnvEc8m2zEfYtg5ShCAn5BzKTwmIauUIDA68GjZm0VY8xa/B9WIP2LkUhAUgdBkEf4axJfFhq4sU1rTw/NoC8ZnPn4yJhzM1b+cf4njw2v4hwRPSjumNCd5RygW+2VDFRtRl5+VqxAOXSxzvO1dpo8rnxh8WZmFp3Le+UfgPAoKSzREESCKCSy/CHwtz+k5Nl55sxf3YOWSE/WVor4ZhcmqMe59UdbsxaJY0usS2PP4hNr6LJ1blQoUouQ6c4MAums6E8jopcHj89kZCQOKlwOZuJCDJsehXfTzdhb1yL8OmDNJ8zG+tBcXOQkJ9wawW7a9PJOmBUGQwHCUVCqOW/LtC2uLyW2MJ3UDgrWRd7HiuLW+iWMIURw4eQ6qz4j+fWNTuoDVjINdWRves1LIWzIBLGlXkG25P+j2s/3NaeafL+qjJeuiCfiwdHU+ndR5NMiUZtB2BxcR1ZzvVk/niZGNcx4GoiA66EXd8h3/Ihxp7nEgpFmLutnrvTdqLa8SmRsfcT0liJmFNRJvYGzZEta/5XEMrXdBUqq18FWyZgOfJJMiWojzBuKj3IDluijISBCOz4GtJPEU0oIyHaojK5pehVGr2N5C+5hk+Gv0RefF/Q2WDRg50zq6K7i38KPcTkkZDVD8rXgDJFLCC4+mXRDT0hXwwaX/cmlT2u4Y0NTgAqPCpxpq6ttlPX6j0ClQ4XH1w5kKpWL3KZwIer97G+rJW/Do0ls3UlDPubmLF1SPD6jqHPYVLGkGJMY79zX/t2nUKHEIxCq6wm1aZl5TWplLh1JNpMaBdc1VFF2tOMrGwlyvKVZMVM4vrR3XhonuhL9dWmSm4ck8Vj84vaZ5YuGpzKutJG7sqsAn8bgQmv0BZWdSmKeayQBI6EhMRRYWN1gB2VLbxzaQG7vEHqoqxkJi0koDKJxdD8HaaHyOQEtLG8vngXjwzwU6tT887euTR4GxidPJpRSaOI0h2Ie2lrhEhAzEyRdy4l3+R2IK8rwlY6j5dTn+OZH1oAL2xqJTdOz7vjYthRVIPTG6S7JUzO7rcgaxyttj58s7Wa55aUo1HKmDeqGsv2A2bBKgP7Mi/l572OdnED4o/9N3/ei3oiPLP5UZQyJZf2uIw86xBKymuY4PhcLPFvzwJ7FsJX17afK2ybTZ9p77EnLZ3xK8J8MuN9jFo15qiYo/RunIBEQl23hUNENGaytTII+Lpmmal1YlG7HlNE4XKwqTH3ISx9quN1bC98Mh3awdfD3L+JAcGlS0GhYcuE+2j0NgKiHYNBZ8FRvg1H2EZCnxnIfrxPbGTk7WJ80Le3gSUZJjwhBhX7DlQKThoIF30pvtZFQVMpOKsR1AZkgihK3tjkYfzYR8lcdK0ohIBAwRUYUvswWabHrglhUOvZVulkcLdoTsmJJRAIEuh7M9rPpsGu+VBwCSx+BG/qaJ7daaaPL8x1uffz8Z4X2Na4iXRTN24tuJPHvmzl9fE60gpfRWgtx5rYj2rTDFTOrubWgrMKtALfbK7ijgk5NLT5MagVGFQCc67sTUmLWHDT7/dxQa6Nbq69hM7/FOp3IZeX0GZOwGA69l5WksCRkJD4w2nzBihtaCMn3szry/axZFc96XYdt5/2JspAEOVpz2Gdf734y1Emxzn2Scr8etp8LdQ1NNCSOIIBxmvQWGUk6NWsq9rMhNQhYq2Suh3QWAIJfcUS+HEdSzlOF6g9NZR3v4KXl3YuSV9U42K7O5FAsJq/fVNFepSOZ8+4iL6zhrDq9NXc++0eovQq7h2iwYwLRv0TKtZRnjSZv/6sZERWkMNp84WIkeu5qPuFvF34Lvevuo9HBr+A2ZTMQ+6/8tepV2FvWIt82xedTwwHke3+nrG9Luf2Zg/FThVjkiRxcyiRxAEIclVnj6pB1yE07yNYtxt3whCMZjtEZ3Q+MToPBl0P2RPA00zElkHQmIy8fhcyv4Nw0iD8Pc9DG5sJag2c/SaRrbMR9FGEe01DF/FwUdrpmNRmhqaPx9Fm49bC3mwod3LfqIFcOvpe5BVroXYH7PoOuo2BnNNhxzcd4gbEIoVbP4WylaLlh0wO57xDnNzFjYMsPLm8kVZPgCtWWPjXqM8ZYmpArVSCNZO8ollgz2Rbk5NbSz7h3bEfo3E4kCsClCtCbAs0kjztbVJmnSvW6xn7AC1BHauXeFlYsouLB6VyXc9HQNGGVWVEtWc1M7OKiV/+OvgctJ09C8Pca1HZ+uLodQmmxfd0GkJP0nD2VrrYUtHKlopWtEo5/lAYnVLODzOimLJwGiWXbGB7tRuTbw+qeTdCOIgcMAOBaR9A3uSj9tn4pUgCR0JC4g8nGI7QJ8nKUz8U83NJAwA7qp385cONvHB+PjNWRHPdkM/IN7nQR8WjqN7MkKLHGdR7AmtN47j7063sqRdneEZlR3PbuDz2NdZS1hrNksp+xCu7M6ZpL5muxRCdC3Jx+aHJEyTKlkagvqSTl9VBGiNmzk1vY+/1UfjUUXy6W0bf3MnM3dHEhYNSuDWjEvu303Hbe7Ox+238pB2H0afj3H5q1AoBmSAGVh7k6r4aen95OSkZI+hX8A+uWvcwy6sXsWHDOK7vDbHfXnEgtblrX4hEULrqiDaq6R7cSbi0GJ8+AUJBwhobemt013P+h6gy9SVx2kyE7V+AuxnShxPZs5iNuX/n1RIrZes9XFDgYUK3vSQkZ4CvDRBAZ4LUweKfuAWCYWoG3o0qv5WI1orddqBQpCUJLNPxd5sE1ZtRf3Iu+UEPvbMmEJr0NE0uP8urW9hZK2a8Pbikic/jB/L12WNRvjMGojLFGJ6tn4izkofjrBGXtppLIRyC5c8idJ/MOb0nkhJt5rtiJ91jdCTEKVHVFSJE/CiLF0DDLiIqDXnmFH7IuhyheRuNnkbebNrIR2XfEY6EGZ44nFsu/5rUpnrkQhiLs54haUZ+2NXMrDVlzFojdmHmeCWjCp8Qg7atqVC9hVUNOuJOeYNei/9BxdQvUAx3o9vwKqiNtA69mxd2WYizd8yOWnVKJvWOJ92mwbjjJWrGvciqMget7gB9ja4uvmqKNS/hTR+NRneEMfkTkQSOhITEH45Fp2K7r7Vd3BzEFwxTVONgaGYMN/1YilIuY8HEUrpZzLDfQ702lS83VbaLG4AlxfWc1TcejVrNhio3NrOJpJgEbl0S4eXcHSTXFYpf3kBVq5dSdxyjrQ2c08PE54WOQ/qkpNkbwr1rCYGWKhrjhnFGSibulL8xqi4KeVst9oU3AhGWZt/FX75zAHUAmLVK/jYui7sm5fJ9objEdVVPGeNq3oDW/Vg2fYjS38a1eZezu7mZcCRMWnwMn6lmEwjL6BsjkNd0rmjmCeKveXs2zREdr4wOkvDtpQTP/xj18v9DtnsBkehcAiP/QTh5GGq16je/DxGPg13NIRqdHnQqBTa9itQYy29u76jjdUDlBmgpI0lnx2vJQjXkBmQ/3AtLHqNo8lwu/KyjWOSDC9pwnpLAjdpSZBvfBk8LZI+H1OGg66h2rVTISIi1A/YjXlatNxBI7o/z4vlEAn4aFNF89NN+5pd46ROn4t3zs7ht7j7Km71YNTJkAadow2CME5eoImEYcw/sXdy54ZRBsKxjaYy2GmTpI4j9fDpnuOo4I74v2C+CT2+Dqa/D93e2x+MI1VsRpr4i2j/UbGPDpAf4YF+HPcPyyuXkGzOYZhyAW5tA7Op7uaX3P9hZb2R/kwdBgAv7JzLEtpdwylBkpUsIJQ4kPORmZq9TolEo+b+e07G37UQVbCV06iM4zFn8bUkYnSyIoHQztW8ijS4fPeJNfLhmP95AiMJ+l9I7ZOW+r7cRicAXUVpeHfUG3X+6vL1v4cjxYSQrCRwJCYmjgkEjx6RVtDscH0QQBNQKccYlEIrgjeoBs4dDOETLoMfYuL9zTIBaIcMbinDzBxvaK8/b9CoentqTnfV+kun4MjWqlNz66R6+vDCLSwcbSLC7mF/USEa0nv5pNlbvrmb06CmURikJRSLsLXHSPzEWtSyAwt8IbXW05l3M0xs697nVE6Cxzc87y0vpl2rllQk+or+6EHzO9mP0O+ZSkH8+rrZMLhuawhVfFNPqCbTfw8cXfkvB5ntAY4X4XoTkWvSN2xiw8lGY+iryJY8gHKjAK+xfiXL2xXgumANp/X/ze7C+ysPNs8XaJUq5wK3jMhnrDxCOhOmefJyloUciUDQX5t7UHo+iKbgMMkZB2XIAitoM+IKdi8m9tbqOc3voxSpKJT/Cpllw7rvQ8+xfdXmlWoMyNZ/mujJ+3FDHQIuTgv4KZhUHue6LvbxyXh4tLS2MavkC+QfPiX1MGggjboW9S0CQw/BbxOsjwNCbRFPKQ5fYek1HmHcL9LsEFj8qLmMFXOISV1stbSmD0bRWoKjcAHlTYcULYnmBqG6sbt3Tpc/f166mpGIU32wu5YJ+L3NlnJxXz7Wy3yUnGA4Tq/SiXPEKskrR2kHuqKLWks+kPn2pdUVwJo7H/sGY9vasw/7Gm2ka1CULaIoMpCzrbKoUafz14w7rko/WVaBSKog2qKlz+iht9PBCiZ1nk4ahrlgBgHvADRiP8ewNSAJHQkLiKKFRObljfDZ3z+moyFuQYqWqxU2UXgwOHZRmJaVtizh9D0Q1rGVgWg9K6jpmcEblRPP+qrJOtjpNLj+VTW7O6Z5GWUCFvb4cfXQyUQYlt47L5NkVldyS38z3uyAj2kCvRBMef4ixPRLZ0SLjlcW72NvgZkrfBIYnKsmXldISbQVTAkGlAW/wkIsdwKiScd2wRDKjVOj9ZZ3EDQBaK3Z9IptXukmN9rSLGxBnrt7e6KBPn/OQRcLUq5KIWXontmrxwRFSm5Afbi/gcyJvKv7NAqe22cm/vi1uL8wWCEV44vvd9IjL59Wl+7hvYoQeqaKbeSQSoXBfNbtrHWiVcnokmEmJ/5Njgqo2wY/3tYsbADbOhN7TRXfxgBu1vOv7olPLUW+eBTveg6E3QOEcWPWKGIOj0nU5/r/iauKSqgfRlC8DQWDEsHvYZRmOMuTCHtyFZuUhMzIVa8GaBj2nwbe3gCFGTDmPRGDLx0QmPolQvVks8NjnfDAnQ10h5J7e0Ub9TqrH3sN8Zwm74uIZ2Pt0stV2stwONNsO2Ec4a+mhi+dwupsLWLOhDW8gzLurK1EELFzSvZkn5geJ0kZ4d0wYWbdTIGc8lC5nZ7/7uHJuM5WtYmbUz2kGnuj/TxLXPy5aUVRvQb13CQC26i1Ym7bwbewzXa778+4G+qdZ+W5bDQAr9nupn3A1CaZo3HkXojjgKXaskQSOhITEUUGOhf4ptbx0Xk+K6ryoFDJqWj1k2PV8vbmSc/slcdnAOAy7F7afY//xZs66YBuby1vZUS0uL/VPtbb/+yB6lZyUKB3XzyulsNLJ0G5RXDdCTV/fRlIbv6UgewJhdQLPTdRQ5dPx3NL9bKsU25AJcOekXJ75oZgvN1bSQ+/kqsKrSZYrCU96msY2DVO1iby0uKT9ekq5QEGUn4HzJ4O3hdDwWwnF90FevaX9GM/Y+6mt8XBPXhP/V9LVTqKq1YcrKEdfu4HtyUMYkTwE5QGBg0wBSm3XtGiF9jePf73Tx/YqR5ft+5u9aFVyCms89Ej0gULNmuIKLp21vX3pJyday+vnppMWZwe1sUsbRwVvq1jx93Da6mHyc/DtbfQ0OIkzqahxdMyK/HOQBvv6WWKA7+JHYex9sG32kbOw/g0BZwPB2p3IlGqMJd+iKF8m7hh1J8aq9fRf9TgRWyaMuA1MCaKj9kFKl0DulAN9rYN1b3XsczeJPleREGz5BNa8Jm4XOlLWAwWX807dKgw6O66Ai3+teQSjysi7gx8kW2MRDTv9bQxxuehlyWZbSzFjE6fQQz8RjzuKKX3lFFY5WLC9hk8L27gs1cN7w8OY/dWYZt/Vfp3IiNtZsj9IZWuHxcjyfW2s6TaEsxVqSOwHS5/oNC5CXSGJWV1FZbJNS01rh3dVfoqFUGoBskFnceznbTqQBI6EhMRRISvWzNZKD4Ot+0knRG3IxGk2JxmR7cyYnImg06ONjSUSHgOrX8EX04fa/jeQKNvDWxemsLtBrFycaw0TDCXzxPfF7W1fPDiVf365rd2r5/sdtexvdvPGhBiSt73PAN234nJB9Vb2x13TLm5ADBL+aM1+JvSM46tNlXy1B2YkDkW7ey6BLZ/znP96QoKTG8dksnhXHTadivMHpqAIVUFif+g9HXnQR2TMvfi9rYQdVYTtuSxpsDGnqI27hsUxPNPOnE1VncbjtLwYNNtfRD7wMsbkJOE1X4DCYEfYNQ+Zu5Hw0L8hO6RoWyRlKP6obDonwv9ydCoZ3aL17KnvbAFh0ynZWN7M8EwbBP3sqXfx7KJ9nUxQd9V72FblotEDKyqrafOGGJRhY0CKFZP+t8cE/UdMSWLA7qEO3YJMjKVJHwlRmaS4G3n//G6s3NNEtVvOCEsj+SVPdhSNBAi4YeA1v1iYOSp3oVlwK1p7mmjrUPyduCNjtJgBdWBGQ6gvgq+vF0XOkkOqTsf2BFO8GGh76DSjLQOhpVzc98WVHduTB3bUvUksoDpnHJt2vE1mOJNlFcs4I/EUJtl6YfS7CU56GkVjMWybTdLPz/LCpCfYn3MVnxdG8+iPtUALAGf2SWBguo1WlxfDvm8w2+NhxfMd1+w2FsGczCWWALFqMy9s9FPaKIrpwmY5Z+sPBLQffg9+F/3iQqRGaShrFAWNXiXnzD4J3PqZKO6TLFpuGJVOTJTlF433n4kkcCQkJI4avRPjIGAiquRJ8pYf4s4dm0ek70V4lVo0acMpn7GM5pCP9KYNGOc/Tkhlwjz0Jkgail5vYUKkBUEQ+HR9BRatktx4Y7u4OUhRtZO9oXSSAQb/BZY+SWvmZJrkdg4GCx+kqsXDqT3EGJReUaBu2QuAQ5vE2pJWGtr8LN/dwMD0KFo9AQorW9EkRBHMPA3F19dDKICgsaCa8jKkjmBhmY+bvq3llRkFvF+4j1sLqhhzrpdKt4yfHTG0ymwMiAoi2M+n0tKPRECT1BuSesPQGwgEI8gsqUTsOQgNO8GYgD+mN/rEvI5O+5xQv1Os1mtLEzN4/gMZcTZuPy2bO77oKE44vX8SaVYVEzP1FCSbaAqpCATdjM6NZ1BmDPVOH7PXVxAMR1DqzFz+yY72c99cvpdXZxQwoWfXpZLfRfU22DVPNKCc+CR8dzs07AatFU57BOL6ig/exH7IgGzAZlGhC7nRfXAJtB5Wx8We84urQPuDIYLFP6LyNUHCVPC7RRFbvwuS+otp4D3PEdsLuEGuJBKV3RH1pbeLdWjCYRj/OCx6SKzvZE4WRVYkJMYVTX0NXHWg1IM+Cqo2wyn/gLqdyMvXMDB+INvqNvH9oIeJaS5HromD7+4U702mIHTaY8jkCuy7F1CTOJ2P1nXOyvtmSxW3nJpFvroG89rF0O2Ojtif0XeLRSOLvkG35yfOUmo5ZcCt3Fc+gHm73fTPiAFfd1Fg9jxXnP06SFxv7KF9TBhaR6pqNDUtEQQEvttazczLBuD0BUiy6uiZYEapOP68uyWBIyEhcXRp2IOw6uXO22oLEXwOFLVbiFgTWNuo4LTQKozzbwZADug/W03bhV9C1hjSYy0k17i5ZVwWSrkgloY/DKVcQCNHXO4Jh9k85j3uWaPgxqyuP0zH58WxfHcDVp2Si1OakO0WDRXNjZsZ0e0svtpSg8sfYvEuURhNzU8gPliB4vt/dDTkbYHvbiMy7X1yolTce3p35m3ez1O961B9diN4W7ABPRP603Ta83y0w4c7cwile1xcGntICrhCjUoBJPYV/w7QaZHL3SyW5D+4xKEywIzZkHpIrEM4DE17xGq+lhSQyShINPDS+b0prvdg1SrItqtI3vYKjzd/S3jvOTjU03G1eJm5spoah48Mu55bT82mqNrBnkZv18KGy0rpl2Ih2vTbl8460Vopxt3sWSS+rtwIZ70uxs6ozWKtI0EAZx3UbBaXhswp+OQJ2NO7i4Jo9qUdD/Ne08CSJhbe27VADPjVR0PfGaJgOSydudntx1y5HMbdD2vegD0/iaaoCf3F9H5DrBgTJFPA7h9g/ypIHoz/4rngdaDigICJziGSMQrhlH+CrwVcjbBvOfS7ArQ20FjEmRy/G7zNRPavRmjYBYkFJJRvZPjQq7nar8D62eXi9ZQ6GH0XLH8W3I3IF94Fw28FUyJufSqHC3aAXtYQQ7c/LzrXN+0RM7zMyeKYNZeK9wYQ8GBb+QjXjH6HKEsa/b0roO8FYhycTN4uvLBlQCREoGEXX5V/yXkJPXnxpxYA+iSZSTULpMf/AvPTY4gkcCQkJI4u4VDnTJKDRMIIrjqqHQ5yo2UYv3vjsP0RFKU/Q5aY5REBLLTRU9hPwOngtB4p/LCj44v+0sGpZOo8zBn5LalpGdw5ZyeNbX4amhp543Qr/1rhpdbh5Zze0UztoaPFpyXH4CV9zpliAwoNrmH/ZGBLFNur29hd14YgwCVDUklUtJIU2t9ZJYFY58Tbijp+BL3VDjIVdag2zxTFzwGEqvVY6tawp6UPMa1eyhoPcw3/JdRu6xA3IM4SzL0Zrlgg1lmpLRRnGzbOAq0FBl0H6acQa0sk1mZiZHdoqytD//F4hOZ9MOxmBLkMy8en009j5ucJf+P1ijSeWtlMca2TOJOayhZvl244fYFOS1m/m/pdsGcRgZje1GSdh8rvIHbujXDmy2L2FIhxLGtfh587gnvjR98Dyd3EQOLLvhMLP9oywO+EkA8qN8PH53VcZ/OHcOUPomXCIahkMhrjRpDoaekQABtnwZkvQckPsGGm+PnNvwj6XQ7VmxHKV6Nsq0IwJ8FPD4vLWvH5CMY4SB4kusDbc8CUCPP+Js5GAWRPFB3S175NaPwjyOqKkBUvQDDYGCzokP30UIcNRMANPz8NfS+EVS9DKEBYH4Osegtpke9Itg6jvLkjlibFpiWv/jsU6UPFWSSlHsbcQ8TvRmgubV9mO5TcwE7utO9HgwBf3CKm17uboPArsKSKKe8+J62nP87DQ57kvUUyVHIZI7KiuP6UNNLjj/86TZLAkZCQOLpEZxPJnYJQ1FE6H12UaDxoTsFa+AltSZPwK80cHt0RUhrZ1bQLhaAk3W4l01WE+uPpEAlzx2nvMKF7XyocIdIscnp71hFVUoo96hwa3WEKUqzIBAhqjOSFf+brnB149AnE7nkSxYoAQp+LYNW3hKa8RjAUYos7CiKJ3PN1IWflJ3LtKRnoVXIy/LvIWfpX6H9516kgQyyCPopYsxaPqxWzNiy6Uh+GrGUfVw6bzOWztvB/5/YRH3pBrzhDYPgF2UrOmq7bGnaJdV8UWnG2YtHD4vaWMjFW5Jx3wNyRKq2s3SyKG70dVDqExY8eaLsa5Td/4aqz3uW1DXrWljYxuFsUObHGLrc7vX8ySTb9f+/vwdmAAzhcHmTOChRKLZqopE6HVg64kzfbhvPhEgdGjZK7hoxkklJBe/5TbSEs75zJI1v6OHQbLc7KJA8Q35dFD3fUoUnsL9alOTgmIT+ULusicKwGNc60Uwi3rGffsCdpUCVhzRxAZvU8hEOXVFe/IraXNR52zEHwOvDJm1FPfkG8z7Zq8DSBKZFIXSHCvpVgjIWcSWAtEmd/iucTzp5A85lvoG0sgjC4Cy7GFWgjtXJjZ48rEOOKlAdmyhRqsGfDd7cRI1/EG6P78HyxjVXlXganmZnaL4XiVjlRbEURiYgC+McH8J89E1XjHgR7dufAaEBpikWpMoiZagC7F8JpD4uB0g3FIFMQOOUO4tJG0Ts6l+6mVto8QewGJTHWE8MnTRI4EhISRxeVDmHEbUTsmQhFc8Uv6tShhBUalEseRVm5DsXVU6ntewPJlas6nqhqE4GUYUyfNx2FoOC1Me8g27u0/UHQ7Ycr6CZXQvYkqPVBfRHkTMSjMPKXDzYSPFByWCWXYTtrKAlWCz1l+1D0mUYwcSDKd0+FSAR52c/sGfEc0xfKeO68VELhCJ9vqCASiTAoFjK33A6OSjH9eNgtsPIFcRlBbYSJ/weGBPA6UHgaCZnjiHQbjbDx/c5jkFBASriCpdPVqDQVMPsm8YE44GpIGyYGnv4nLKldtyUPEcVKa/mB2iuHEImIBfMyx3WYdioOLHr1OEvM6DkMTdVaTs+dSltIya4aJ1srWrl7Ui7fbaumzRfkgoEp9E76z/5Cnv2bidTvFA0g7dnoLAm0ej0YSuYh3/YpEUMsnqG3s9SXhVqpIDeqJ7MjRmZuEmfimlx+bv/RT/zl+Qw72KiroevDPxzsyLhy1kPx952L7FWuh9Qh4iyKo7J9TAJ+P2F3M0GZHL3BCt5WYpMzmdes5o5lJXgCIe4+3Ulm1aKuN1fyE6QMFgWNNQ31pxfimTEP7bfXiw7mGjOMe5CIKRGh/2Xi+Bd9AzG5cP7H8M2NOKyZGBfdj6pYLNinA/Tjn6QtvjcGmby9XAIgvre+NlCbqJ78AbubrYRHfESWv4jcxVfxfMIQWgoG4kwdy8ySRj5Y3cb8M1LIPXh+0Iu6bguRpP4Q6i2m4XtbxaFIHCAukdXvEsUTiGP807+gzwWQ0A/smSit3YgxibFqKfZj7y31a5EEjoSExNEnoQ9CTA8iPacT9rchE2TIytcQHHI9yJUke3dSHtOb3ZNmY6leTkhtQkgbhsqUxNpTPyIY9LPDn0RrQOhcizYUAHeD+Mt52M2sU/ZjzqbqdnED4A+F+bHEQXpMIm94F3BF3sXY3TrSbdliRVqNGb2/GYsuke8LqzmzTwLfbKli7b4mLs3UIG86kC5eu12cCRhxK+GoLLCkIrOmgjEOb90eKqqqGLztfvynP4fSUYNQ8gMoNESG34ygNmD+8gJxJiYhX5wN+Opa+OkBUSRpoiC6278fv7ieMOkp+OFuCPrA1g0mPSmKF3eTGJDbXNr5HLW54+EFOK3dUaWPQnA1gM4OTXs7HR7WmJE7lZyaHc3Nn20D4PH5OxmWaefGkUnML2oiGPDRL/XIXtHuyiJCmz9BW7UKRc1mkMnxnfcZhorVyH/+PwCEpr1oK85DP/IjLl4Q5NGzejJ7u1hPSKuUc/UYIypdNaX+dViqu5EX31MMqNZaO2dK6aLEmJamfeCqF98bEEWGMU40tty3QnT6dlSCNopw0gAUq19EaN2PKnkQIVsmrHmTfd2v5tavGgiGI4zpHkNTm5+ILZPO0TqIS2C1RXDWm+0CMdi8TxQ3IIqHirXI9DEQ9HQsKVasg6K5BM99l7DX3S5uDqJd/CA1F3yEYfxjsPA+cWZPYyFyxvMI7ib2nvEpV8/3sqdxPwBJ5r68c/YPZG94kJjy7zDmTyW+KoggwEdlZv7R7UyMe74Rx8zbirDhXXHJ8oznRW8upQ6hrlAU6jI5THq6Ywkr6BOX83LPFJfehC6jcEIhCRwJCYk/B4USIbY7cgCfi1DlOhR7l8CWjyAcJL3ndFwD/0aD5TzCagMbqzzs29dGN7uBPklGVKEgzvyrse+e3fGrHIj0uwyhdBnFbh1P7mhDr+6aWB0IhWhW/sDK8mXUeCp4bPBLLD7lMzbsb6HG4WdcbBSPTNHw1483c+OYTB44M4/tFa3ozLrOdU8aimHpkzROn4cxrh8alfgVqpAJOGQWcNWhmjkeJj4Fg66FSAhBY4GZkzoK2FVtgsUPiyLnu9thxxwxduM/odJD/yvFuBSfA8wpYDgQA2FNhWE3w+eXdsx+6e3izNAhAscel0rrmEfRV69GbrAjfH55x4yBIZZgyjCuTjPjbasnzqSmxuEjGI7g83oxyAJUtXq4bUwqZbVNJERZUCpk+F2tKNU6dlS3snRnkK/3TCLPfjpXjGul57JrUS17FCEqq/O9hIOkBUpQytP5blsNqVFaKls83DTRwMf776TZJwoZk8rEyyNfoK/SAFNehh/uEUWZLQNOfQg+Pl8MKk4bJQqZ6BxxjJvLoMdUIqZEIuVrkPU8l/DAaxC+vBqhpQwAoeRHIuOfINJtNAmBcm4eZOfp1W0UpFh56oddjD97LH1174niEUBtgt7ni7Exix6BvClgS0MXaBGzlFa9DOkjxCUpuRI+vajzPXuaERyVhEJd6yPhb0MVUYOvjcB5H+IOevDqbLic1dhbyvgu0pc9jR3irqLVx1c7XdyRNBAhsQDdp9O40pDEqPHX0GhIxCubjiGtAMGaJsbTOGvgxwfazxcS+4n3A+L7v/t7mD4LiueDTEmk+2SE1OEnvLgBSeBISEgcA8INu5F7mmDje+3bhG2fYtDb0DrreN9+Gyl2I6+t2EswHCE1SseIrGiW767n2smL6VPxEbKWfbRlTkZlTcLodVAqz2dT+R7uO6MHS4vrO10vv5uHF3eJv7r3tu6l2SVw8xe7cPpE0fHl1nruntSdV2fkU9/mI8mi5vReOfh8PtomvIDhq4vbi/A5Bv+dZkM3olUdX58KSyIxJhdFw58n9+cb4LtbQWOh8axP0NbvQ3dodV6Amm1iMDCIcTiHCJF/i0wG9qyu2wVBrBNz4WzRbV1tEIu2pQzpcqg5OQ+S88DnggtmQ/VmIkotkdg8hG1fkeBuxNPrYj67JJfSRi9KuYAgCNiMWs4bkMa7a2ox65QkWDzk6p1kL7wMV9YUZrVO4JP1ogjcVQs/7VUxZ9j9pG95mkjaiC6zIQG5jlA4wso9Dbx8YQGVLV5qg2vaxQ2Aw+9gXtl8+qqSxLozo/4pLgu66sVsJEeVOIO34jkYeTvM/7uYRg/i0tDAa5AlDYA1ryI07m4XN8hVMOSvKL64DEIBlMA1MX0xjHiIvU4xsPqCuS5eGf8+g9RlyCNB5LZ0XG1OzF9dBKc+KBYUDLhFsa42wuTnwVEDn86AYX8Ts64OC6wXImG85rQuBR0DSYMJau1ENr3PR4rzeHXfN9xccDPbmrcyPH0EG35u43DW1skJOVYhtySDXImmeh151evEgPPe58HqV6HHFIjvBYfGvoEoprd+2vE6ZagYrJ07GQSBnUVF5Cp/wefxBEASOBISEkeVYChMSZ2TZncAk1ZJglmNPuhFVVfU9eCyVZRNmslAb4jvNpfyan4Z0Q1rabb2YmuoD2qlinvn7uSZcy7ib7ML2bfWxd/GyhiQNoWokJdQOMLXm6u45/Rcvt1WjVwQOK0v/Fj3MhHE2Y3e9t4U1/jbxc1BPlizn+fO6011q5f9TT5UijZ6xBtpjR2I96IfobmMsDaKVl06mfFRnfutUNMnLZZAlOUCAAAqw0lEQVSdtTqKzviaRKGBclUmN31VwiMFWgYffp9aq/jrWak9UMI/6fAjfh06K2SdKv79EtR6HEkj2ansS0OzkwSXg1xDAjK5EkvTFixL7iTlQPaPf+ANvKS4hBcWdVR2HtItiun9kkjXxlIbM5zZi6vb9w1Kt5ETZ6TKZCGt13mEE/sjP+TSYUM8m4LphCMuNEoZanmYV8/vxavFc7p0c69jLxE8CG01MO/mjh0jbhNTrzUmcNdBW02HuDmAsP4dOPtNMc4kdEjNpOwJsPmjTttUdZsZ1qOclqBoXeEJhLh8ngOwMj7LyAvCU4RTR9N88U+Yt72DLODuaM/nJBwKIVv0L/F10Vwx62rtIVmBpkS8xngatTpCE98ncfWDKBt34kobj2fYbVjLl7B0+LU8v+Mtruh5BS9uepEcWw5zSubQO/USFh/2v8qUdJBv2QacBy37O3a4m8QMKhCNS+PzxZmnbZ8BEciZRCT9FISd88TXA6+F9FGgOErFG48xksCRkJA4qmwsa6aq1YNJo2RPvYu1oTBZMd3Iz5iAfue3VPf/B7vUvQgj0CNWTWKomi3NAldHPsOy7AMALEBcwhCM/Z/lis9qaHD6iNeGKI3Ai4tKeO2iAjR6PdcOT+X15WUUVrUyJCOK60clUuj6geIS0Q8rTh/HLQW3sXF31zo6wVCET9dW8sl6sXBclF7FI2f1pFeCCXNiD3yx2aiVCmLkRy5oJhhjyDWKGVGOqt08OKeUPQ0ePi4zkZN7Idaijw4cKBA57VGEcEQMPo3tKc66/Im0uPx8sKaMZxYWE46IZqBPTj2HKRU3Q8DRkdosyCjOvJzX3tvd6fxVexoZnRNNRb9/oAg4UcoF5ILA3yfk8HNxPXM2VVLZbMVWcCZZuhCB8z5BXr6agDGR5cFc7vq+jViTmlvGZZEdrcVEK/2jRrOkonNw7+mpkxBWvkUXlDpxhiQSEZdgDg3OPchBq4aEAgRLSrufFcY4URzlThZFjlwJ698hVd7IkGgZG7PsLNstBjDb9Cpu6N6GeuFS1PuX4sheRaSlouu1vC1i/AqIy2jOarGOTe0OMMQQju3BAlcVQ1sbqdVH0TD2ZUxCCORKMmuXUZ3Qh5uX3kAoEkIQBBx+BwICvrCP2sgyzu5/Cl9vbCEciTC5j51xsjXiPbsPs7YwJXTEKvW9QOyTu0EUhIKMiDmJoCUd5YWzxfOju4NczsmKJHAkJCSOGlvKm3n2x2Km90/m/37YRVG1GFAqE+C1C4aTPu4drl6uZ1+Tj9xYDe/nrkOt8tMtegiWog87taWtWkV6pByFTMCkDPHiMC/n/qijtMHNlopW3li6lzcvKcBq1BAOR8hPMpKi9pOXeCH9Yofg8jtIM6di1UTha2tBrZB1quly3oAk3l2xr/11o8vPun3NWLRK4iw6DJpf/iu32R1gzX5xaeHrXS7kudM575SJdNe1YdKpCMcXILdn/I6R/X3sqHbw9MLi9pAdXzDMvd/uJufcf9F96fXiRrWZdVMXs7tJgT/UtfZNOAIarY7YlXdx08BHqQqaeG/lPiqaxeWXfY0ent+q54GhOuJyB0HuRNRAz1Y3sxLa0CllpMeY0WuUgI1h/hBtPf/GB7veJhQJcXnuFYyO6wd9nFC+quPCGos4AxZwi5lhkbBYTM+YAM6OVOhI7hQEpUE0w1z8GKHpHxJc/TpqYzyRPYsQNh3IdFOoYdwDCBo7suY9XDW8D1cPiiZUs4Nu4Z0kLxVtGSLdxuKPyGlMn0Z66SEZW4DPmoXWGNeRzl80F0qXEzhvFrWO/ZTILWwoNaHSh5i04mZk4aAYTKwyQO/pJMy5gb8POI/Hd3+EDBnnJI7mfEMm1ZZ4blrzID2s27jpzDMRkDPWWEPsovfwnfs2amddh3DTRxMZdSfC9i/hzBch4BM9r0b+QxwXbRRCdC5K4/Ffv+aPQhI4EhISR43Sehd9ki0Q8reLGxAfjo9+v4cbx+Szr0nM2LmuJ0SvehIGXIXRX9O1qB7Q4nRz5fBsckveRt5cws3jnuTOL7chIGZL3f75Nu6a2J1bPtuCUa3gmxuHE6dW0zume6d28lPMvHlJf2ZvKKem1cv0/slsKW/pYv/Q4vbjD4VpbPMRYzpCgOi/wSTzkh2tpbhefNh/WeTmyyI5H15QwECLG+UxFDcANQ5vl+F1eII0RMyQOQbqdrBn3Ju8tqaRyX0SGJBmZd2+jvgY8wG7DJ1zKzLCXOB4mzV59/HBmv1YdUpeGyPQvfpzdO5KvC0zKKuwkZokVr2NNeuINXd1+c5MzCTZbGFS0kgUMkiyZyEIAmQqYPoHULZCDJ5OGUy4uQzZlJfFis1nviQGF5/2kBgwW18MKYMRiBDxtdKUPhlr4ybkc2+gcMr3JLesx3qoc3vQR2TjB3zf92VumFcFbGBkhokX+3kxL3oe/C68KaPwDb0Tu8xNoa43ihFPkLz1JRBk7O99E4IykeRhN8O6N8WsKnMSkTH3IlNbMBrUpEf0TNIUYxF8RMb9S6xhFAmJS0o/P4UQDjFWHc3jQI4ugSvtJlRNpaRVF/Jarxv5vGkL9d71nB07GKtSy9O9TuVU5376quyELpkLrgb8ahs+TQzW9DFg/Z1LnicJksCRkJA4avhCYS7o5mNZfdevmupWL22+jpkBg+ARH1TbPsN19jnI00cjP+SXcsSShjm5O1dV/Ix+8fM4eszg592NPH9+L/a0lHHLJB27K1UkGcUlJKcvSGmDi3R718J0OrWSkdnRjMiyEwpHkAkCTm+gy3F5CWZqWr30SzlyavS/w0QbD4+xcvlXflx+cank0n7R5CRFoYzqjtvdhqKxGLm3CUFjRhbf50+Ng0iy6lDIhE7p9HaDioTYGIi/Avavo0rfHZ2qkVtnb+G2U3NIsupYsquOHvEmrj0lg/RAMYpIK57Tn8JUVYhFIY7f/42QMWjpxeKsAqAs/Qlh/HNU6qaRaPvPS3Fqg510g73zRkuy+NdjcvumXZ4ocq0hmH8HZIwUKwe3Vohp43o7bP9CDEYeGOH8nWdwRY9xDB1awIXv72DhqK6O5ULjbpwuN1qlHF8wxIzucjTyCOFxDxAxp9Ik2DGULoCBM+ilk7NizxgW9eyHUS2jW7yd3pseh7geokFn3tlEDHEIUZnIVRqoLSHZaCZ15eWiaB9+C6x6qXNcEBAdkbF4wIPYNn+JbMccEGRoep3LsLKNDKvfBfkX4Vn/AffGxrG+eScXd78AhyyK9Q1Kmj2xdNMZyIs2geLkXXL6tUgCR0JC4qiREaVD6y0jhAmZIM7cHOSc/HhSrB0P9Y0OE6OtGTQmj+emH1ycmXEzY619ian8AW/SUDTRGWR8OEwUQXIluxPOxNjqZU3LJ3xe8gGhSIieUX1QGe5tb9Oo+c9fcYIgoJCLOT5Du9m57bRs3lu5D51KwcVDUslLMCEXBPT/pZ3DCZtT6B/ey7wZ8ZQ5wKTXkGFVYImKpqWlCVPFUmQb3hGr6yp1REb+HSH/4o7U76NMzwQjD03tyUPzduD2h7DpVTx5bm8yog2AAS78hIptTuZuFYOH/+/7XeQlmLhrUi4Bbxt9Nt2HseJnNg5+jg+WBGn29+DcfjouHJBCTvDndnFzEMOaZ6iNH83eEGREG2hwtRIOKbAbdMhkvzEd2ZoGacPFDKtIRFyqGXM3LHlCTKUHsHVjcp94PiisRTu0L22+HZQJ8RxuFxrsfiYKQxQ3jLLTO1bN8BWXIVRvEndqLCRMeAwSu4MhBhsw2RaF3+dFLlcg97ZA+EzRRyuxH1jSEOJ6gUZ0Mzc7a2D7V4SH3oxsxbNiUcKe53QutqjSIzfEYt/3s1g2AMSlt62fwci/Q+FX+AWBrzMHU1yznGeGPEh8VA4oNYz9BYWw/1eRBI6EhMRRo8Dkotyr5pO15fxzYi6zVu+jttXHuXlGrjOvIqm2lScnTeKuBRW8vbGNs6a/Qo07wpm6ADnKWsp1/Vmsn8SHO7w82SMWW76Y/r3HPJjblsn4x9kO7l3TkWq+vXELX+/9hHMKTicYkpMVc+QZg6pGJ36/B73gI1orB3MC3eNN5MQZGZcbQzAUIUwEjUJOTtyvL0uvjEpjvyNIsjFAsjmMwp7aXklY1bQb2c65orgBCLgRfvoXgdheFKrzCSHg8YexamRk2NRo9X98ALJOreS8/kn0TDDR2OYnyaYlM8bYvt/pcrOprPNMR53DR5sviEmlZrX9XGLybmTGJ/vxBVsAWLq7kbcu6Ye55UgzUQKWcAuLK1wsr93Kt6VzsGsSmJg8HW04A6NWwcD0qCOc9x+o2yEakB4k4Bbr0fSaBuvfJhLXG3dsAc+/WcI5BUnsbw2Qn2LhqW1enh35NMnrHgZPM6HM01hgv5S/fy0W7DNpFXx2ynV0r75WbNfbAjvnibWGDkGlPrBkabBDzkTRxkF2WAB6U7lo0LnhbTynPYMw/TNwViOPzkJhzUC+/XMitm5QcAnCjjnQ2DmYGxCtKpIG4EscRK5Mzmt5V5Fgsnc9TqILksCRkJA4asjtqegczfSIDvLRmjJmjfGhbComZs+XKIs3AzByUja3ndYbtz/EU1scPDQgwPCll7Zng+Skncr++BtY2bIXdcLpLNwaoqrEy+3j06hu/azLNZdV/czLo67Cpo3Couv8sA2HI/j3r8PeWMw+eQb7IxZqLWZiXBXEJCQhCAK58X9MSXqXN4AiPbfLdmXQ0clWoGLk02y3jKK2XiDBGmR7ZSvP/1RCnyQzt56azbBuGhSKP/6rurGyhMT6IpKIENbnAjnt+/wtlfQ1eVhsUHNzPyWJSgfxCTFc8c1eKlu89Ig30bMpwLUjMzqlj3+6voyE0X3xjL+fOI+DxHUzwdOMf9ANyCvXUq2DNza8eODoHaytXc4dfV7m/UURFOMECv5NleQjciR/LkcVkfSREN8Hr60H+W83EApH+Gx9Obedms0/xufw3qoypq1J547BnzAqRcm7OyK88H1tRxOeIMvdqXTvdxnUFUH5GjGuJtR1CbMTh4sbgHBAXCoD9D/cSiC2D/tyrsJrsiNLOg9l4lRUGj2xLZvQVqwTrSAqN3ZuI6YHZI3DGJ9Hn18+OhJIAkdCQuIo41LHcfVQL6v2NJK29k7xoXEIsdWLONdQxVpFT3YH5FjXPN2pLL9h30LOO20aD9UvZWP9Gl4e8wk1jVoGx/vZUtU1vqZPVB4xBiNWXdegYH9VIYplT/JN4i3csaiFQKgZlVzGo2fncabFgUp39E0Eg2obyqgscK+hftA/eampP5/8sKt9/50TuzOmezSLdtZzz9fbefWCPvRM/pWzG0fA4wuyvbqVOoePQcZ6or66ANmBitBhQywt53yKJV00o5Qb7IyIr2DkOAdJi/8mLvmojcwa+Syr5QNYVtLIzto20qMNTOuXxOwNFWTHaSjI28NFS54iEA5gUpl45syn6OuNoN7xOTW5U/lk10ud+uQNeanx7CUvsS9FNc5fJ3AsyV02hWzdKJT35OnNTSzdXddpnycQIscc5JGhSlzq7pgbt6DY8DXfV87o0k5zUCk6uOvsMP5RaKsVfa1+LWo9pJ/SXhNHWbuFrNob4dQHcfW8kLA6EaNGSbNBi2/cU+hDDhSlPyO0iqUKiM2D7mdAYv5/uIjEv+PIBR0kJCQk/iBSos2ElQampTgIRffosl/QRRG95jEmbrqev/RViT5Gh2EN7GdzwzrOyDiTl3+q4+bPtnDDnGp6GjMYFTOg/Ti71s5lORdh/TdCRd20g9KkydyxqJVASAwI8ofC3DtnB4X1/iOe80fjtXQjMvRGUBnYEX8Wn6yv7LT/uR93c1a+mAVT3uShxvH7+9Xi9vHlpkouemsts1aVodw1r13cAMjaalHt+Lz9tWBOJsakJmnRDR3xLD4nGUtuQttWxoLtNWytaOWJBbvQKGWkRemYMkDBq9sfJxAWZzocfgd3bX+Vlrr1sHsBTm0yGkVX0SmXKXB4g3j8R6hl85+IzoXJL3aYiBrj2Nb/cR5d1oBwhCdbbrQa8ydTiHp/BCnhaswrHka/dz5X9OwaAzTS0iiaZe7+Hpb9H4GcyaIn1q/FGCtaS0x9FaK6iTV4Rt8NaaegN0dj1Ii2IlZrFJbMwShjuiNMekq0pjj/Y7joS0nc/A6kGRwJCYmjilylJSteRWttCvpe58LeRR0zNFFZIMgg6CGQMIh0m4pg9gQUWz7u1EabJZH7Eh8kRh1DXo8kCAXZU9NIyJDIfdmXcFnCKDxyBcm2XFIT/sMDweekLmRtFzcH8QRCNLb9lyWIPwir2YKjLQvFhV/T1ND1ge8JhAiGxewylVyGWdfVW+vXsrOmjZ3VDl6/qAC5TIZ267vUTHmRPdZEZALklG/GsnuRGKwrCGytaGGwp1x0BT+UgJvoSBPQsfQ3e0MFT53bh5B2O5GSzuNa566jMS0d+RnvEFQmc1XPa3l07UPt+6M0UaQbc3h7WzXPnd/3192UUiNWDE4dQnVNNV/uFXhlgQuXv5G7T8+lsMpBvVMsvjemezR9PauQNxyodhz2i4altYWc2vghodEzeGNrEKNazi19oe/2ezqu42nG21SBMmVA1z78EmJ7gDYKkgYCYbBnH/k4lR5ic8U/iT8ESeBISEgcdVQKOdGJ3fB7EwheMAdNSzGy5n3gqiOw41vWjf2Sl7bLaPm6jVfGX0tqUylC+WqQqwgM/zvN5hR8rlbCpDBzdwvlzW6GpNswh+VEpw4lWjHql3XElEBcWx1qhbZTkT+jWkGK6ehPaDdVl6JsLcP01UVErN2wjJqNRinDG+joS1qUDqdXtJH427hMMqK1v/u6ChnUtfm4/L31WHUqXrnsJl7b/hQbtm4AYEj8EP42/iHqd9VQ2+rFqFUT0MWjVGjEgnTtDalpwAx0eCmp5DLq23xEfF37GaWJQp02Ent0D+xATJsKq/pZVlatJFobT655ID9uCfP4Ob0ZkPbrUvGBdn+uBm80T69a0Z6l9/QPu7j39FySrDp0KgVJugDxM6eLO+UqfPs3IvS/BlXpUmw7P+ZC7QJOP/tTFI4y9D/cDr7WTpcJy355DaQjYooFYn9fGxK/GkngSEhI/GmoNFpUKX2p1ydjL38MYd2bbB37ERfNc7U/nEa/5+CDGS8zaOgunLpU9mFmZd0yBthO455vdlBcK1YI/nRdBTeO7sbNai/y6F9WOC+stpBubeW5iTHc/n09Ln8Io1rBU+f2JDvx6GamOCt2UtwQYODSm8HnRKjZTLzKw7Pn9eWRb4uoaPaQl2Di7km57Gt0MfOy/mREaYkydI0z+jXsb3Tw/qoyvi8UA2lNWgVr65eyoW5D+zGrqlcxOH4wr3zdQMOBmawHJ+dw8bgHEBbe225pEJjwNLNWd35szBiUwmtL9xBlkHPZwFuYVfwCoUgInULHHQPvINrYUXQu3hBPvCGeCRnjAKhodtF/ggKL/veZO3aPN/HGJf25b852ahxeTs2NZWimnXS7mIHmdrfhTRxCyOtkRebfeXO7nORKHeectRqlr4VklZN4vZrI2i+g7/mw5vX2tsOJAyAm599dWuI4RhI4EhISfzrRUVE4+lyOJi6fVdV2wpGOlORIBO7/oZIve23nS1kKfbrpuDr/fD5Zt79d3BzkjZ9LmZJXQOYvvK5Ln4TBVcsEXTG5F+RQH1ARbTaSaleD7OgWSCuud6GKhJA1l7Zv6/7xIHRnzubF8/viC4UxahTkxhgZmimKrdpmB9v2VqKQQWqMGZ3u16eM17T6WbijI+B2bK6dDbVruxy3rnYdp/Xoz0drxQDXR+bvJnn6eIZOy0ThqQNTEsrEAu60eVlU3EB1i5ehmVF8u7WGWoePWgf4V6Zx5YAXyU2MYNXpSTYmY9L8+8DtJOvvE28HUcpljMuNpW+SBXcgRKxJjfqQgnc6nQHniH+wttzNNfNa6JVoJtas4/L3t+APhYk2qnljegL5w28msncRwrgHiLRWEonNozVuCNa4Y1t5WuK3IQkcCQmJY4I8OodmVTSBpmagc80Vg1qOIFOwvsJFbmqY5pYWQofFzYAYIBwI/fLgVFN0Ms0KHdqWEuKDDuymWDRxyQj/xkDzDyMcxtHmYnOzhj4xPZHXbRe3BzykfHEG5aM+IRLfl7yMjlmkorJqXlyyj++KmlArZNw4PI4pvWJITvx12TwRAZJt2nZxuLXcyeD+fdhY1zkduY+9D19saWp/7QuGCSq0fO5IIc2eS99EK3q1nv4ZRvqmRuFqqmbJ/iBLiuvbzymp8/DGjwE+vSqfHnF/fgU6u/HfzwTpk/vy/k+isBufF8dTh2Su1Tt9/P2bEj67qh+2wT3AUUlAF43SYMcq/MZChBLHHCmLSkJC4pigVyvwI6dfqg2juvNvrb8Mjacl/QxG5iawo9rJphofvRNNWA4LuD2jVywxhl+3vGG1RqFJH4Q6axSGxFwUR1vcAMjETKP3NrdQPfJJMB9IcVaocY59HHNKbwZndsRo+PwB5m6t5bsiUXD4gmGeWlLFrhrnkVr/j9h0QS4dkobyQMXmdfua6Rc1kh62joy2gugCekUNYnd9R1Bxik2HWhnh8aJzuX756Wyr39PRv2AIoX4XGXYt3aI7z8L8ZVQGuQm/P639j0YQwKAWPz/eYFdRXFLvpsHhAa0ZYnugMkaLXlgSJyzSDI6EhMQxIzkmCpu6idcuLmDdvmac3iAjM4zEaMJcO7eSHQcMOpOsWv46KpO3Lyng7eVl7Kp1Mikvmik9LERFHX8P0yORbtPw5uRobljcyoz8mQy2udCbbejjsump7izSqlt9zCtq7tLGpopWxvXrvK2xroatDWF+3tOEViFneKaVAclmFBotwWCIT/e8z5TUK3h6Wh8qmj3Y9CrkAQ235d9Lo7+canc1Vc4q9jlKmD4wic/WNpGXYOKakRlUO0WBFY6EqWnrmKnZWe2gytuNh7/ayuXD01HIBKpbvWTHGBicpEKQH39+SIIgcOnQVOZvr0at6CpqU2xabMauJqASJy6SwJGQkDim6M02hpkhN85ERbObfY0uttf628UNQEWzhw37m8mJM/DopFQCoTByhQqb1XLsOv5rievJAEMD70VpaI2osRkT0dsOd0USMeuU9IzVsL+ps6dTuu2wbB6fkw11Ya77cFN7kPbbK2W8c3E+Q7O1BMMhilu30+TZRzAcS1F1Kxv3t1Dj8HHfdHhqyx2dmntw8OOMycrHFQjz6bpyhvUQs6XkgpwUYwLUF+N2O3F7E7hp9nbevjCPSChAndPH0CQVdn2Yao+c1D9mxP5wClKsfHbtELaXN3HdyHRe/7mUSAQMagVPTsnBbjH+90YkThgkgSMhIXFcYDOosRnUZJpC3LGjrsv+4lonAgLf7XZR5/SRFWOgewC6xVj+/M7+Vgx2zAY7/80MwqpXc9WwFFbsc9LqEbOa+iboyE+24PQG2gvENbl8vL96fycTU28gzJLdjQzNjkOjUnFK/Hh0cgOPLSvltLxY0qMNxJo0rGt6sct15+77iu7hdF5ZWkq/ND3VwXWo5WqeGvAIfUq+hWWPowsFqD9lATeMSmfDviZeXlHdfv41g+ycW5DUpd3jBYVcRv80G/3TbHi9XibnRdHs8pJs05MaJ/k7nWxIAkdCQuK4Qme2MzC9rd3J+iCD06PYXN7Mv+Z1WD38c0IOCSYtWs3vSzM+HinITOTTywT2NzhQC2Ey9R78NVvZ7AwQbY+he7yJQESGy9c1nuRgHR2AwQkj2Ne8jal9s3l8QTEgLvmNGtz1gR6rjWd4fBR9Ek1EW6HKrWBS2hn091UhX9xRoM+Gg6TUBM5/r7TT+W+ubWB87okhFDQaDXmpv7O+jcRxjSRwJCQkjjt6JpiY1i+JLzZWEI7AuNwYTu0Rw7TXV3c67qXFexiUYSM/5eQTOAD6cBunrLkWdd3m9m3m4Q8wu+EM0u16YvVKpvdLZFN5S6fzxnaPbv93XkwKaZYYyrVNaCbnsnhXA3aDignpE1hY8RXuoLgMppFrOD1tKkPnT4earZB3NgWj7xItBlYv69R+XtNPFNmzOs0cgZji7/YFkZA4HpAEjoSExHFHfqoNvUbBlL4JAFh1SgqrHF2Oa/MF8R8hffxkQddS3EncANjWPMmgyaNpaPORaDUyKNnNY2fl8eHacrQKOZcPS6VfUufMJr1KQ/eUBFJsrYxN16GQCeh0Ol445W12Nm8nEonQ3ZZHr70rofrA9bZ/LtYGOvNFsKR0ai962+u4C64hP9lCQYaMUAS+3eRCABJtv75Wj4TE0UASOBISEscl2bEmsmOh0e3gm8LNZFpy0SrleAIdSzKjc6Ixqk/eahfKsLfrxqAHRcSPQSN+fWckxpKRCKOz7agUsv+YCaQzmNEZOiKABpl6Miipp/hi88ewqHPQMds/hzH3QEIB5J4JRd+I27VWdBonE4btYOaOd1DIFFw2/ipGxIxsrx4sIXGskQSOhITEcU2UzkSiTc3qkhpenpHPS4tL2FvvYlxuLOcNSEImHH8pyX8UsugsUJs6HL2BQPezkFuSMWtVnY6Ns/5OYaG1dN1mThZNIHVRMPkFGPwX0YAzKosfa1fx0pYX2g99rfApUq1R9Nae8fv6ISHxByEJHAkJieOe/NjuqIQyappruHtidxRyGQpAoZCTE//vrQBOdAwpffCd9wmK1S8ir92Ov8c5uHOnk5ty5PTy30V8X0gdDmXLxdcyOUx6ShQ3ADorpA4FwBPw8N3q77o0sah8EWd0kwSOxPGBJHAkJCSOe6INZkYZeh/rbhwT1BnDICkfvC2ojPGojlZ1XVM8nPOWGGDsbQV7NsT2POKhCpmCREMim+s3d9qeZDh+U8Ql/veQBI6EhITE8Y5KJ/4dbUzx4t9/QSlXcnbW2SypWIIrINo7WNVWRiePPto9lJD4xUgCR0JCQkLiVzMwfiCvjnuVXU27UMgU5Fhz6BXd61h3S0KiHUngSEhISEj8JvJj8smPyT/W3ZCQOCInb36lhISEhISExP8sksCRkJCQkJCQOOmQBI6EhISEhITESYckcCQkJCQkJCROOiSBIyEhISEhIXHScUwEzsKFC7ntttvaX69atYrzzjuPGTNmcNNNN+HxeI5FtyQkJCQkJCROEv50gfPwww/z9NNPEw6H27c98MADvPzyy3z44YekpqYye/bsP7tbEhISEhISEicRf3odnIKCAsaNG8enn37avm3WrFnY7XYAgsEgarX6iOcWFRX9KX38LXi93uO6fycy0tgePaSxPXpIY3v0kMb26HG8jm1ubu6vPueoCZzZs2fz3nvvddr26KOPMmnSJNasWdNpe0xMDCAuXa1Zs4abb775iG3+lhv8sygqKjqu+3ciI43t0UMa26OHNLZHD2lsjx4n09geNYEzbdo0pk2b9ouPnzlzJgsWLOCtt976tzM4EhISEhISEhK/hOPCquHVV1+lsLCQmTNnotFojnV3JCQkJCQkJE5wjnmaeENDAy+//DJ1dXVcffXVXHzxxXz00UfHulsSEhISEhISJzDHZAZn0KBBDBo0CAC73c727duPRTckJCQkJCQkTlKESCQSOdad+CVs2LDhWHdBQkJCQkJC4hjRr1+/X3X8CSNwJCQkJCQkJCR+Kcc8BkdCQkJCQkJC4o9GEjgSEhISEhISJx2SwJGQkJCQkJA46Tgu6uCcaIRCIe655x5KS0uRy+U89thjRCIR/vnPfyIIAllZWdx///3IZJJ+/LUcaWxdLhcPPfQQcrkclUrFE0880W7tIfHLOdLYpqSkADB37lw++OCDThYqEr+cI42tXq/nnnvuweFwEAqFePLJJ9vHW+KX8+++E+6//37kcjlpaWk88sgj0vft76CxsZGzzz6bd955B4VCcdI8yySB8xtYvHgxAJ988glr1qxpFzg333wzgwYN4r777uOnn37i1FNPPcY9PfE40tg6nU7uvfdecnNz+eSTT3jzzTe58847j3FPTzyONLavvvoqRUVFfP7550j5Br+dI42t2Wxm8uTJTJo0idWrV7N3715J4PwGjjS2MpmMv/71r5xyyincdtttLFmyhDFjxhzjnp6YBAIB7rvvvvYiu4899thJ8yw7MWXZMWbcuHE89NBDAFRVVWG32yksLGTgwIEAjBw5kpUrVx7LLp6wHGlsn3nmmXZvlFAoJFl5/EaONLbNzc089dRT3HXXXce4dyc2RxrbjRs3Ultby2WXXcbcuXPbvx8kfh1HGtvc3FxaWlqIRCK4XC4UCum3+m/liSee4Pzzz2/3hDyZnmWSwPmNKBQK7rjjDh566CHGjx9PJBJBEAQA9Ho9TqfzGPfwxOXwsT34P97GjRv54IMPuOyyy45tB09gDh3b0047jbvvvpu77roLvV5/rLt2wnP457ayshKTycTMmTOJj4/nzTffPNZdPGE5fGwPLktNnDiRxsbG9sKxEr+OL7/8EpvNxogRI9q3nUzPMqkOzu+kvr6e6dOn09bWxrp16wD48ccfWblyJffdd98x7t2JzcGx/fbbb1myZAmvvvoqr7zyCsnJyce6ayc89fX1jB07FrvdTmJiIj6fj5KSEs455xzuvvvuY929E5qDn1uPx8P8+fOxWq3s2LGDZ599VhI5v5NDx3bWrFlkZWXx4YcfUlJSwv3333+su3fCMWPGDARBQBAEioqKSEtLY8eOHezYsQM48Z9l0gzOb2DOnDm8/vrrAGi1WgRBoGfPnqxZswaAZcuW0b9//2PZxROWI43twoUL+eCDD5g1a5Ykbn4Hh4+t3W5n/vz5zJo1i2eeeYbMzExJ3PxGjvS5HThwIEuXLgVg3bp1ZGZmHssunrAcaWwtFgsGgwGAmJgYHA7HseziCcuHH37Y/t2am5vLE088wciRI0+aZ5k0g/MbcLvd3HnnnTQ0NBAMBrn66qvp1q0b9957L4FAgIyMDB5++GHkcvmx7uoJx5HG9q677iI+Ph6TyQTAgAEDuOmmm45xT088jjS248aNA6CiooJbb72Vzz777Bj38sTkSGObm5vLPffcg8fjwWAw8PTTT2M2m491V084jjS2FouFp556CoVCgVKp5KGHHiIpKelYd/WE5uKLL+aBBx5AJpOdNM8ySeBISEhISEhInHRIS1QSEhISEhISJx2SwJGQkJCQkJA46ZAEjoSEhISEhMRJhyRwJCQkJCQkJE46JIEjISEhISEhcdIhCRwJCYnfTEVFBTk5OTzyyCNH7Rr//Oc/ycnJweFw0NbWxmOPPcbHH3/8m9rq378/F1988R/cQwkJieMRSeBISEgc11x11VW8++676HQ6CgsLmTlzJj6f71h3S0JC4jhHEjgSEhJ/CK2trdx5550MHDiQgQMHctNNN1FdXQ2Injc5OTm89tprjBs3jv79+3Pvvfe2O5gvXbqUCRMmkJ+fz8MPP8zYsWPbZ1reeustLr/8ctxuN5dccgkgOh6/+OKL7e3++OOPna5z8PVPP/3E+PHjGTRoEI8//jjhcLi9v7W1tfzlL3+hoKCAMWPGMHPmzD9rqCQkJP4EJIEjISHxh3DHHXcwd+5crr/+eu666y7Wr1/PNddcg9/vbz/mm2++4ZZbbiE7O5vPPvuMTZs20dTUxM0334wgCDz++OM4HA4qKir+7TUALrjgAqZOnfof+1NfX89tt92GTCbjwQcfxOFw4HK52vf//e9/p7S0lPvuu4+zzz6bxx57jMWLF//+gZCQkDgukDzmJSQk/hAWL17MGWec0e72Xl9fz1NPPUVRUVH7Mddccw2nn346bW1tbNiwgaamJlpbW3G73Vx11VWMHz+eUaNGMW/evCNeIy8vD4C0tDSSk5PbDW4Pcmhh9q1bt+LxeLjmmmsYP348o0ePZs6cOYBY/n/t2rVEIpF20QTiTNLo0aP/iOGQkJA4xkgCR0JC4nfT1tbWZdtBsSEIQvu2gwaJSqWyfVsoFOp0/K/hYNvBYBAAj8fTvk8mk3Xad+jxoVCISCTCqFGj+Mtf/kIoFMLr9ZKYmPir+yAhIXF8IgkcCQmJ343BYGDo0KF8//339O7dG4vFwnvvvUdOTg65ubmUlJT823MLCgrQarW8/fbbmEwmFi5c2C56DuegMCosLKSoqAibzQbAwoULsVqtzJ49u/3YPn36YDQaeeuttzAajSxdurRd7BiNRvr27cv69evZu3cvu3btYubMmTz77LOkpaX9QaMiISFxLJFicCQkJP4Qnn76aU4//XRefvllHnnkEfr168cbb7zRabbmSNhsNl544QXC4TD3338/aWlpKJXKI56Xl5dHfn4+P/74I4sWLWLo0KGcccYZLFmyhAceeICJEyd2aVcmk3HfffehVCrJyspq3//CCy8wcOBAHn/8cb7++muuu+66TudLSEic2Ehu4hISEseUlpYW/v73vxMfH8/YsWMpKyvjkUce4bLLLuPOO+881t2TkJA4QZEEjoSExDHnzTff5OOPP6aurg6VSsXw4cN58MEHsVgsx7prEhISJyiSwJGQkJCQkJA46ZBicCQkJCQkJCROOiSBIyEhISEhIXHSIQkcCQkJCQkJiZMOSeBISEhISEhInHRIAkdCQkJCQkLipOP/AZbZJj1JNIZNAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 569.875x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(\n",
    "    x=\"longitude\", y=\"latitude\", hue=\"status_group\", data=train_and_labels, height=6,\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66ffe335",
   "metadata": {},
   "outputs": [],
   "source": [
    "def replace_with_mode(data):\n",
    "    df_scheme = data.groupby(['region'])['scheme_name'].agg(pd.Series.mode)\n",
    "    \n",
    "    def scheme_update(row, df_scheme):\n",
    "        row['scheme_name'] = df_scheme[row['region']]\n",
    "        return row\n",
    "\n",
    "    df.loc[df['scheme_name'].isnull(), ['scheme_name']] = \\\n",
    "        df[df['scheme_name'].isnull()].apply(\n",
    "            scheme_update, df_scheme=df_scheme, axis=1)[['scheme_name']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2005faba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>amount_tsh</th>\n",
       "      <th>date_recorded</th>\n",
       "      <th>funder</th>\n",
       "      <th>gps_height</th>\n",
       "      <th>installer</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>wpt_name</th>\n",
       "      <th>num_private</th>\n",
       "      <th>basin</th>\n",
       "      <th>subvillage</th>\n",
       "      <th>region</th>\n",
       "      <th>region_code</th>\n",
       "      <th>district_code</th>\n",
       "      <th>lga</th>\n",
       "      <th>ward</th>\n",
       "      <th>population</th>\n",
       "      <th>public_meeting</th>\n",
       "      <th>recorded_by</th>\n",
       "      <th>scheme_management</th>\n",
       "      <th>scheme_name</th>\n",
       "      <th>permit</th>\n",
       "      <th>construction_year</th>\n",
       "      <th>extraction_type</th>\n",
       "      <th>extraction_type_group</th>\n",
       "      <th>extraction_type_class</th>\n",
       "      <th>management</th>\n",
       "      <th>management_group</th>\n",
       "      <th>payment</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>water_quality</th>\n",
       "      <th>quality_group</th>\n",
       "      <th>quantity</th>\n",
       "      <th>quantity_group</th>\n",
       "      <th>source</th>\n",
       "      <th>source_type</th>\n",
       "      <th>source_class</th>\n",
       "      <th>waterpoint_type</th>\n",
       "      <th>waterpoint_type_group</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</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",
       "      <th></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",
       "      <th></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",
       "      <th></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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6091</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2013-02-10</td>\n",
       "      <td>Dwsp</td>\n",
       "      <td>0</td>\n",
       "      <td>DWE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.000000e-08</td>\n",
       "      <td>Muungano</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Ibabachegu</td>\n",
       "      <td>Shinyanga</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>Bariadi</td>\n",
       "      <td>Ikungulyabashashi</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>WUG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>swn 80</td>\n",
       "      <td>swn 80</td>\n",
       "      <td>handpump</td>\n",
       "      <td>wug</td>\n",
       "      <td>user-group</td>\n",
       "      <td>unknown</td>\n",
       "      <td>unknown</td>\n",
       "      <td>unknown</td>\n",
       "      <td>unknown</td>\n",
       "      <td>unknown</td>\n",
       "      <td>unknown</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>hand pump</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32376</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2011-08-01</td>\n",
       "      <td>Government Of Tanzania</td>\n",
       "      <td>0</td>\n",
       "      <td>Government</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.000000e-08</td>\n",
       "      <td>Polisi</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Center</td>\n",
       "      <td>Mwanza</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>Geita</td>\n",
       "      <td>Nyang'hwale</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>VWC</td>\n",
       "      <td>Nyang'hwale</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>submersible</td>\n",
       "      <td>submersible</td>\n",
       "      <td>submersible</td>\n",
       "      <td>vwc</td>\n",
       "      <td>user-group</td>\n",
       "      <td>unknown</td>\n",
       "      <td>unknown</td>\n",
       "      <td>unknown</td>\n",
       "      <td>unknown</td>\n",
       "      <td>dry</td>\n",
       "      <td>dry</td>\n",
       "      <td>machine dbh</td>\n",
       "      <td>borehole</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>communal standpipe multiple</td>\n",
       "      <td>communal standpipe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72678</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2013-01-30</td>\n",
       "      <td>Wvt</td>\n",
       "      <td>0</td>\n",
       "      <td>WVT</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.000000e-08</td>\n",
       "      <td>Wvt Tanzania</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Ilula</td>\n",
       "      <td>Shinyanga</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>Bariadi</td>\n",
       "      <td>Chinamili</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>Parastatal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>gravity</td>\n",
       "      <td>parastatal</td>\n",
       "      <td>parastatal</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>seasonal</td>\n",
       "      <td>seasonal</td>\n",
       "      <td>rainwater harvesting</td>\n",
       "      <td>rainwater harvesting</td>\n",
       "      <td>surface</td>\n",
       "      <td>communal standpipe</td>\n",
       "      <td>communal standpipe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56725</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2013-01-17</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>0</td>\n",
       "      <td>DWE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.000000e-08</td>\n",
       "      <td>Kikundi Cha Wakina Mama</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Mahaha</td>\n",
       "      <td>Shinyanga</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>Bariadi</td>\n",
       "      <td>Bunamhala</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>WUG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>wug</td>\n",
       "      <td>user-group</td>\n",
       "      <td>unknown</td>\n",
       "      <td>unknown</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13042</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2012-10-29</td>\n",
       "      <td>Hesawa</td>\n",
       "      <td>0</td>\n",
       "      <td>DWE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.000000e-08</td>\n",
       "      <td>Kwakisusi</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Nyamatala</td>\n",
       "      <td>Mwanza</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>Magu</td>\n",
       "      <td>Malili</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>handpump</td>\n",
       "      <td>vwc</td>\n",
       "      <td>user-group</td>\n",
       "      <td>never pay</td>\n",
       "      <td>never pay</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>insufficient</td>\n",
       "      <td>insufficient</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>hand pump</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",
       "      <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>62177</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2011-07-18</td>\n",
       "      <td>Dwsp</td>\n",
       "      <td>0</td>\n",
       "      <td>DWE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.000000e-08</td>\n",
       "      <td>Wazazo</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Mwamabuli</td>\n",
       "      <td>Shinyanga</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>Bariadi</td>\n",
       "      <td>Mhunze</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>WUG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>handpump</td>\n",
       "      <td>wug</td>\n",
       "      <td>user-group</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>hand pump</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3631</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>Dwsp</td>\n",
       "      <td>0</td>\n",
       "      <td>DWE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.000000e-08</td>\n",
       "      <td>Mtakuja</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Mbiti</td>\n",
       "      <td>Shinyanga</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>Bariadi</td>\n",
       "      <td>Kinang'weli</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>WUG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>handpump</td>\n",
       "      <td>wug</td>\n",
       "      <td>user-group</td>\n",
       "      <td>unknown</td>\n",
       "      <td>unknown</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>hand pump</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60843</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2011-07-19</td>\n",
       "      <td>Rwssp</td>\n",
       "      <td>0</td>\n",
       "      <td>DWE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.000000e-08</td>\n",
       "      <td>Maendeleo</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Mwamalizi</td>\n",
       "      <td>Shinyanga</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>Bariadi</td>\n",
       "      <td>Chinamili</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>WUG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>handpump</td>\n",
       "      <td>wug</td>\n",
       "      <td>user-group</td>\n",
       "      <td>never pay</td>\n",
       "      <td>never pay</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>hand pump</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>748</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>World Vision</td>\n",
       "      <td>0</td>\n",
       "      <td>World Vision</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.000000e-08</td>\n",
       "      <td>Mwazwilo</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Mbita</td>\n",
       "      <td>Shinyanga</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>Bariadi</td>\n",
       "      <td>Mbita</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>WUG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>handpump</td>\n",
       "      <td>wug</td>\n",
       "      <td>user-group</td>\n",
       "      <td>unknown</td>\n",
       "      <td>unknown</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>hand pump</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49651</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2012-10-29</td>\n",
       "      <td>Rwssp</td>\n",
       "      <td>0</td>\n",
       "      <td>DWE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.000000e-08</td>\n",
       "      <td>Nguvu Kazi</td>\n",
       "      <td>0</td>\n",
       "      <td>Lake Victoria</td>\n",
       "      <td>Mwamtani A</td>\n",
       "      <td>Shinyanga</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>Bariadi</td>\n",
       "      <td>Sagata</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>GeoData Consultants Ltd</td>\n",
       "      <td>WUG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>nira/tanira</td>\n",
       "      <td>handpump</td>\n",
       "      <td>wug</td>\n",
       "      <td>user-group</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>soft</td>\n",
       "      <td>good</td>\n",
       "      <td>enough</td>\n",
       "      <td>enough</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>shallow well</td>\n",
       "      <td>groundwater</td>\n",
       "      <td>hand pump</td>\n",
       "      <td>hand pump</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1812 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       amount_tsh date_recorded                  funder  gps_height  \\\n",
       "id                                                                    \n",
       "6091          0.0    2013-02-10                    Dwsp           0   \n",
       "32376         0.0    2011-08-01  Government Of Tanzania           0   \n",
       "72678         0.0    2013-01-30                     Wvt           0   \n",
       "56725         0.0    2013-01-17             Netherlands           0   \n",
       "13042         0.0    2012-10-29                  Hesawa           0   \n",
       "...           ...           ...                     ...         ...   \n",
       "62177         0.0    2011-07-18                    Dwsp           0   \n",
       "3631          0.0    2013-01-22                    Dwsp           0   \n",
       "60843         0.0    2011-07-19                   Rwssp           0   \n",
       "748           0.0    2013-01-22            World Vision           0   \n",
       "49651         0.0    2012-10-29                   Rwssp           0   \n",
       "\n",
       "          installer  longitude      latitude                 wpt_name  \\\n",
       "id                                                                      \n",
       "6091            DWE        0.0 -2.000000e-08                 Muungano   \n",
       "32376    Government        0.0 -2.000000e-08                   Polisi   \n",
       "72678           WVT        0.0 -2.000000e-08             Wvt Tanzania   \n",
       "56725           DWE        0.0 -2.000000e-08  Kikundi Cha Wakina Mama   \n",
       "13042           DWE        0.0 -2.000000e-08                Kwakisusi   \n",
       "...             ...        ...           ...                      ...   \n",
       "62177           DWE        0.0 -2.000000e-08                   Wazazo   \n",
       "3631            DWE        0.0 -2.000000e-08                  Mtakuja   \n",
       "60843           DWE        0.0 -2.000000e-08                Maendeleo   \n",
       "748    World Vision        0.0 -2.000000e-08                 Mwazwilo   \n",
       "49651           DWE        0.0 -2.000000e-08               Nguvu Kazi   \n",
       "\n",
       "       num_private          basin  subvillage     region  region_code  \\\n",
       "id                                                                      \n",
       "6091             0  Lake Victoria  Ibabachegu  Shinyanga           17   \n",
       "32376            0  Lake Victoria      Center     Mwanza           19   \n",
       "72678            0  Lake Victoria       Ilula  Shinyanga           17   \n",
       "56725            0  Lake Victoria      Mahaha  Shinyanga           17   \n",
       "13042            0  Lake Victoria   Nyamatala     Mwanza           19   \n",
       "...            ...            ...         ...        ...          ...   \n",
       "62177            0  Lake Victoria   Mwamabuli  Shinyanga           17   \n",
       "3631             0  Lake Victoria       Mbiti  Shinyanga           17   \n",
       "60843            0  Lake Victoria   Mwamalizi  Shinyanga           17   \n",
       "748              0  Lake Victoria       Mbita  Shinyanga           17   \n",
       "49651            0  Lake Victoria  Mwamtani A  Shinyanga           17   \n",
       "\n",
       "       district_code      lga               ward  population public_meeting  \\\n",
       "id                                                                            \n",
       "6091               1  Bariadi  Ikungulyabashashi           0            NaN   \n",
       "32376              6    Geita        Nyang'hwale           0           True   \n",
       "72678              1  Bariadi          Chinamili           0          False   \n",
       "56725              1  Bariadi          Bunamhala           0            NaN   \n",
       "13042              2     Magu             Malili           0           True   \n",
       "...              ...      ...                ...         ...            ...   \n",
       "62177              1  Bariadi             Mhunze           0           True   \n",
       "3631               1  Bariadi        Kinang'weli           0            NaN   \n",
       "60843              1  Bariadi          Chinamili           0           True   \n",
       "748                1  Bariadi              Mbita           0            NaN   \n",
       "49651              1  Bariadi             Sagata           0           True   \n",
       "\n",
       "                   recorded_by scheme_management  scheme_name permit  \\\n",
       "id                                                                     \n",
       "6091   GeoData Consultants Ltd               WUG          NaN  False   \n",
       "32376  GeoData Consultants Ltd               VWC  Nyang'hwale   True   \n",
       "72678  GeoData Consultants Ltd        Parastatal          NaN  False   \n",
       "56725  GeoData Consultants Ltd               WUG          NaN  False   \n",
       "13042  GeoData Consultants Ltd               NaN          NaN   True   \n",
       "...                        ...               ...          ...    ...   \n",
       "62177  GeoData Consultants Ltd               WUG          NaN  False   \n",
       "3631   GeoData Consultants Ltd               WUG          NaN  False   \n",
       "60843  GeoData Consultants Ltd               WUG          NaN  False   \n",
       "748    GeoData Consultants Ltd               WUG          NaN  False   \n",
       "49651  GeoData Consultants Ltd               WUG          NaN  False   \n",
       "\n",
       "       construction_year extraction_type extraction_type_group  \\\n",
       "id                                                               \n",
       "6091                   0          swn 80                swn 80   \n",
       "32376                  0     submersible           submersible   \n",
       "72678                  0         gravity               gravity   \n",
       "56725                  0           other                 other   \n",
       "13042                  0     nira/tanira           nira/tanira   \n",
       "...                  ...             ...                   ...   \n",
       "62177                  0     nira/tanira           nira/tanira   \n",
       "3631                   0     nira/tanira           nira/tanira   \n",
       "60843                  0     nira/tanira           nira/tanira   \n",
       "748                    0     nira/tanira           nira/tanira   \n",
       "49651                  0     nira/tanira           nira/tanira   \n",
       "\n",
       "      extraction_type_class  management management_group    payment  \\\n",
       "id                                                                    \n",
       "6091               handpump         wug       user-group    unknown   \n",
       "32376           submersible         vwc       user-group    unknown   \n",
       "72678               gravity  parastatal       parastatal      other   \n",
       "56725                 other         wug       user-group    unknown   \n",
       "13042              handpump         vwc       user-group  never pay   \n",
       "...                     ...         ...              ...        ...   \n",
       "62177              handpump         wug       user-group      other   \n",
       "3631               handpump         wug       user-group    unknown   \n",
       "60843              handpump         wug       user-group  never pay   \n",
       "748                handpump         wug       user-group    unknown   \n",
       "49651              handpump         wug       user-group      other   \n",
       "\n",
       "      payment_type water_quality quality_group      quantity quantity_group  \\\n",
       "id                                                                            \n",
       "6091       unknown       unknown       unknown       unknown        unknown   \n",
       "32376      unknown       unknown       unknown           dry            dry   \n",
       "72678        other          soft          good      seasonal       seasonal   \n",
       "56725      unknown          soft          good        enough         enough   \n",
       "13042    never pay          soft          good  insufficient   insufficient   \n",
       "...            ...           ...           ...           ...            ...   \n",
       "62177        other          soft          good        enough         enough   \n",
       "3631       unknown          soft          good        enough         enough   \n",
       "60843    never pay          soft          good        enough         enough   \n",
       "748        unknown          soft          good        enough         enough   \n",
       "49651        other          soft          good        enough         enough   \n",
       "\n",
       "                     source           source_type source_class  \\\n",
       "id                                                               \n",
       "6091           shallow well          shallow well  groundwater   \n",
       "32376           machine dbh              borehole  groundwater   \n",
       "72678  rainwater harvesting  rainwater harvesting      surface   \n",
       "56725          shallow well          shallow well  groundwater   \n",
       "13042          shallow well          shallow well  groundwater   \n",
       "...                     ...                   ...          ...   \n",
       "62177          shallow well          shallow well  groundwater   \n",
       "3631           shallow well          shallow well  groundwater   \n",
       "60843          shallow well          shallow well  groundwater   \n",
       "748            shallow well          shallow well  groundwater   \n",
       "49651          shallow well          shallow well  groundwater   \n",
       "\n",
       "                   waterpoint_type waterpoint_type_group  \n",
       "id                                                        \n",
       "6091                     hand pump             hand pump  \n",
       "32376  communal standpipe multiple    communal standpipe  \n",
       "72678           communal standpipe    communal standpipe  \n",
       "56725                        other                 other  \n",
       "13042                    hand pump             hand pump  \n",
       "...                            ...                   ...  \n",
       "62177                    hand pump             hand pump  \n",
       "3631                     hand pump             hand pump  \n",
       "60843                    hand pump             hand pump  \n",
       "748                      hand pump             hand pump  \n",
       "49651                    hand pump             hand pump  \n",
       "\n",
       "[1812 rows x 39 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " train_X.loc[train_X['longitude']==0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f17c1f32",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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