Code.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Analysis for \"Does Geography Determine National Sporting Success?\" "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting up the notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Importing required packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.dates as md\n",
    "import matplotlib.patches as mpatches\n",
    "import matplotlib.pyplot as plt\n",
    "import missingno as msno\n",
    "import numpy as np\n",
    "import os\n",
    "import pandas as pd\n",
    "import scipy.stats as stats\n",
    "import statsmodels.api as sm\n",
    "\n",
    "from scipy.stats import shapiro\n",
    "from sklearn.impute import KNNImputer\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import r2_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from statsmodels.formula.api import ols\n",
    "from statsmodels.stats.stattools import durbin_watson\n",
    "\n",
    "%config InlineBackend.figure_format='retina'\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Setting seed for reproducibility"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Setting the Working Directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.getcwd()\n",
    "os.chdir(\"c:\\\\Users\\\\vicks\\\\OneDrive\\\\Data Science (not uni)\\\\Portfolio\\\\Remastered MA Geo Diss\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Importing Sports Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "Data = pd.read_csv(\"Cumulative Data.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Cleaning and Pre-Processing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking the Contents of the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Country</th>\n",
       "      <th>Overall Jokl Rank</th>\n",
       "      <th>Athletics</th>\n",
       "      <th>Cycling</th>\n",
       "      <th>Gymnastics</th>\n",
       "      <th>Shooting</th>\n",
       "      <th>Swimming</th>\n",
       "      <th>Coastline (Km) (2018)</th>\n",
       "      <th>Temperature (1901-2016 [C])</th>\n",
       "      <th>GDP (US Billion Dollar)</th>\n",
       "      <th>Elevation (Feet)</th>\n",
       "      <th>Status of Women</th>\n",
       "      <th>Democracy Index</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>USA</td>\n",
       "      <td>�United States</td>\n",
       "      <td>3592.91</td>\n",
       "      <td>1444.87</td>\n",
       "      <td>255.14</td>\n",
       "      <td>573.98</td>\n",
       "      <td>330.12</td>\n",
       "      <td>988.81</td>\n",
       "      <td>19924.0</td>\n",
       "      <td>7.00</td>\n",
       "      <td>21428.0</td>\n",
       "      <td>611.53</td>\n",
       "      <td>0.85</td>\n",
       "      <td>7.96</td>\n",
       "      <td>3.310027e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>GBR</td>\n",
       "      <td>�Great Britain</td>\n",
       "      <td>2202.10</td>\n",
       "      <td>729.75</td>\n",
       "      <td>413.69</td>\n",
       "      <td>503.35</td>\n",
       "      <td>119.66</td>\n",
       "      <td>435.66</td>\n",
       "      <td>12429.0</td>\n",
       "      <td>8.50</td>\n",
       "      <td>2827.0</td>\n",
       "      <td>526.59</td>\n",
       "      <td>0.88</td>\n",
       "      <td>8.52</td>\n",
       "      <td>6.788601e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>CHN</td>\n",
       "      <td>�China</td>\n",
       "      <td>1906.08</td>\n",
       "      <td>222.45</td>\n",
       "      <td>11.54</td>\n",
       "      <td>479.91</td>\n",
       "      <td>687.05</td>\n",
       "      <td>505.14</td>\n",
       "      <td>14500.0</td>\n",
       "      <td>6.39</td>\n",
       "      <td>14343.0</td>\n",
       "      <td>6005.63</td>\n",
       "      <td>0.73</td>\n",
       "      <td>2.26</td>\n",
       "      <td>1.439324e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>ITA</td>\n",
       "      <td>�Italy</td>\n",
       "      <td>1828.25</td>\n",
       "      <td>288.53</td>\n",
       "      <td>413.02</td>\n",
       "      <td>205.08</td>\n",
       "      <td>484.06</td>\n",
       "      <td>437.56</td>\n",
       "      <td>7600.0</td>\n",
       "      <td>11.86</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>1754.73</td>\n",
       "      <td>0.83</td>\n",
       "      <td>7.52</td>\n",
       "      <td>6.046183e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>CAN</td>\n",
       "      <td>�Canada</td>\n",
       "      <td>1506.77</td>\n",
       "      <td>549.62</td>\n",
       "      <td>190.79</td>\n",
       "      <td>318.79</td>\n",
       "      <td>3.87</td>\n",
       "      <td>443.69</td>\n",
       "      <td>202080.0</td>\n",
       "      <td>-6.89</td>\n",
       "      <td>1736.0</td>\n",
       "      <td>1519.09</td>\n",
       "      <td>0.88</td>\n",
       "      <td>9.22</td>\n",
       "      <td>3.774215e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 Country Code         Country  Overall Jokl Rank  Athletics  \\\n",
       "0           1          USA  �United States            3592.91    1444.87   \n",
       "1           2          GBR  �Great Britain            2202.10     729.75   \n",
       "2           3          CHN          �China            1906.08     222.45   \n",
       "3           4          ITA          �Italy            1828.25     288.53   \n",
       "4           5          CAN         �Canada            1506.77     549.62   \n",
       "\n",
       "   Cycling  Gymnastics  Shooting  Swimming  Coastline (Km) (2018)  \\\n",
       "0   255.14      573.98    330.12    988.81                19924.0   \n",
       "1   413.69      503.35    119.66    435.66                12429.0   \n",
       "2    11.54      479.91    687.05    505.14                14500.0   \n",
       "3   413.02      205.08    484.06    437.56                 7600.0   \n",
       "4   190.79      318.79      3.87    443.69               202080.0   \n",
       "\n",
       "   Temperature (1901-2016 [C])  GDP (US Billion Dollar)  Elevation (Feet)  \\\n",
       "0                         7.00                  21428.0            611.53   \n",
       "1                         8.50                   2827.0            526.59   \n",
       "2                         6.39                  14343.0           6005.63   \n",
       "3                        11.86                   2001.0           1754.73   \n",
       "4                        -6.89                   1736.0           1519.09   \n",
       "\n",
       "   Status of Women  Democracy Index    Population  \n",
       "0             0.85             7.96  3.310027e+08  \n",
       "1             0.88             8.52  6.788601e+07  \n",
       "2             0.73             2.26  1.439324e+09  \n",
       "3             0.83             7.52  6.046183e+07  \n",
       "4             0.88             9.22  3.774215e+07  "
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Removing Irrelevant Columns and Rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Overall Jokl Rank</th>\n",
       "      <th>Athletics</th>\n",
       "      <th>Cycling</th>\n",
       "      <th>Gymnastics</th>\n",
       "      <th>Shooting</th>\n",
       "      <th>Swimming</th>\n",
       "      <th>Coastline (Km) (2018)</th>\n",
       "      <th>Temperature (1901-2016 [C])</th>\n",
       "      <th>GDP (US Billion Dollar)</th>\n",
       "      <th>Elevation (Feet)</th>\n",
       "      <th>Status of Women</th>\n",
       "      <th>Democracy Index</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3592.91</td>\n",
       "      <td>1444.87</td>\n",
       "      <td>255.14</td>\n",
       "      <td>573.98</td>\n",
       "      <td>330.12</td>\n",
       "      <td>988.81</td>\n",
       "      <td>19924.0</td>\n",
       "      <td>7.00</td>\n",
       "      <td>21428.00</td>\n",
       "      <td>611.53</td>\n",
       "      <td>0.85</td>\n",
       "      <td>7.96</td>\n",
       "      <td>3.310027e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2202.10</td>\n",
       "      <td>729.75</td>\n",
       "      <td>413.69</td>\n",
       "      <td>503.35</td>\n",
       "      <td>119.66</td>\n",
       "      <td>435.66</td>\n",
       "      <td>12429.0</td>\n",
       "      <td>8.50</td>\n",
       "      <td>2827.00</td>\n",
       "      <td>526.59</td>\n",
       "      <td>0.88</td>\n",
       "      <td>8.52</td>\n",
       "      <td>6.788601e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1906.08</td>\n",
       "      <td>222.45</td>\n",
       "      <td>11.54</td>\n",
       "      <td>479.91</td>\n",
       "      <td>687.05</td>\n",
       "      <td>505.14</td>\n",
       "      <td>14500.0</td>\n",
       "      <td>6.39</td>\n",
       "      <td>14343.00</td>\n",
       "      <td>6005.63</td>\n",
       "      <td>0.73</td>\n",
       "      <td>2.26</td>\n",
       "      <td>1.439324e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1828.25</td>\n",
       "      <td>288.53</td>\n",
       "      <td>413.02</td>\n",
       "      <td>205.08</td>\n",
       "      <td>484.06</td>\n",
       "      <td>437.56</td>\n",
       "      <td>7600.0</td>\n",
       "      <td>11.86</td>\n",
       "      <td>2001.00</td>\n",
       "      <td>1754.73</td>\n",
       "      <td>0.83</td>\n",
       "      <td>7.52</td>\n",
       "      <td>6.046183e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1506.77</td>\n",
       "      <td>549.62</td>\n",
       "      <td>190.79</td>\n",
       "      <td>318.79</td>\n",
       "      <td>3.87</td>\n",
       "      <td>443.69</td>\n",
       "      <td>202080.0</td>\n",
       "      <td>-6.89</td>\n",
       "      <td>1736.00</td>\n",
       "      <td>1519.09</td>\n",
       "      <td>0.88</td>\n",
       "      <td>9.22</td>\n",
       "      <td>3.774215e+07</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",
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       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>1.04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.07</td>\n",
       "      <td>2.22</td>\n",
       "      <td>1967.08</td>\n",
       "      <td>0.51</td>\n",
       "      <td>1.32</td>\n",
       "      <td>4.829767e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>0.57</td>\n",
       "      <td>0.57</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>28.10</td>\n",
       "      <td>47.27</td>\n",
       "      <td>36.98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.871700e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>0.52</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.03</td>\n",
       "      <td>3.15</td>\n",
       "      <td>6717.81</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.726500e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>0.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.09</td>\n",
       "      <td>30.64</td>\n",
       "      <td>6901.26</td>\n",
       "      <td>0.72</td>\n",
       "      <td>5.28</td>\n",
       "      <td>2.913681e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3025.0</td>\n",
       "      <td>26.91</td>\n",
       "      <td>7.70</td>\n",
       "      <td>1377.25</td>\n",
       "      <td>0.56</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.589322e+07</td>\n",
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       "<p>190 rows × 13 columns</p>\n",
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      "text/plain": [
       "     Overall Jokl Rank  Athletics  Cycling  Gymnastics  Shooting  Swimming  \\\n",
       "0              3592.91    1444.87   255.14      573.98    330.12    988.81   \n",
       "1              2202.10     729.75   413.69      503.35    119.66    435.66   \n",
       "2              1906.08     222.45    11.54      479.91    687.05    505.14   \n",
       "3              1828.25     288.53   413.02      205.08    484.06    437.56   \n",
       "4              1506.77     549.62   190.79      318.79      3.87    443.69   \n",
       "..                 ...        ...      ...         ...       ...       ...   \n",
       "185               1.04        NaN      NaN         NaN       NaN      1.04   \n",
       "186               0.57       0.57      NaN         NaN       NaN       NaN   \n",
       "187               0.52        NaN      NaN         NaN      0.00      0.52   \n",
       "188               0.42        NaN      NaN         NaN       NaN      0.42   \n",
       "189               0.00       0.00      NaN         NaN       NaN       NaN   \n",
       "\n",
       "     Coastline (Km) (2018)  Temperature (1901-2016 [C])  \\\n",
       "0                  19924.0                         7.00   \n",
       "1                  12429.0                         8.50   \n",
       "2                  14500.0                         6.39   \n",
       "3                   7600.0                        11.86   \n",
       "4                 202080.0                        -6.89   \n",
       "..                     ...                          ...   \n",
       "185                    0.0                        25.07   \n",
       "186                   24.0                        28.10   \n",
       "187                    0.0                        11.03   \n",
       "188                    0.0                        12.09   \n",
       "189                 3025.0                        26.91   \n",
       "\n",
       "     GDP (US Billion Dollar)  Elevation (Feet)  Status of Women  \\\n",
       "0                   21428.00            611.53             0.85   \n",
       "1                    2827.00            526.59             0.88   \n",
       "2                   14343.00           6005.63             0.73   \n",
       "3                    2001.00           1754.73             0.83   \n",
       "4                    1736.00           1519.09             0.88   \n",
       "..                       ...               ...              ...   \n",
       "185                     2.22           1967.08             0.51   \n",
       "186                    47.27             36.98              NaN   \n",
       "187                     3.15           6717.81              NaN   \n",
       "188                    30.64           6901.26             0.72   \n",
       "189                     7.70           1377.25             0.56   \n",
       "\n",
       "     Democracy Index    Population  \n",
       "0               7.96  3.310027e+08  \n",
       "1               8.52  6.788601e+07  \n",
       "2               2.26  1.439324e+09  \n",
       "3               7.52  6.046183e+07  \n",
       "4               9.22  3.774215e+07  \n",
       "..               ...           ...  \n",
       "185             1.32  4.829767e+06  \n",
       "186              NaN  3.871700e+04  \n",
       "187              NaN  7.726500e+04  \n",
       "188             5.28  2.913681e+07  \n",
       "189              NaN  1.589322e+07  \n",
       "\n",
       "[190 rows x 13 columns]"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SportData = Data.iloc[:190,3:]\n",
    "SportData"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking the Dimensions of the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(190, 13)\n"
     ]
    }
   ],
   "source": [
    "print(SportData.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "21.214574898785425\n"
     ]
    }
   ],
   "source": [
    "missing_values_count = SportData.isnull().sum()\n",
    "total_cells = np.product(SportData.shape)\n",
    "\n",
    "\n",
    "total_missing = missing_values_count.sum()\n",
    "percent_missing = (total_missing/total_cells) * 100\n",
    "\n",
    "print(percent_missing)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualising missing value locations - by column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall Jokl Rank                0\n",
      "Athletics                       26\n",
      "Cycling                        134\n",
      "Gymnastics                     131\n",
      "Shooting                       107\n",
      "Swimming                        45\n",
      "Coastline (Km) (2018)            2\n",
      "Temperature (1901-2016 [C])      2\n",
      "GDP (US Billion Dollar)          3\n",
      "Elevation (Feet)                 2\n",
      "Status of Women                 38\n",
      "Democracy Index                 32\n",
      "Population                       2\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(SportData.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                             percent_missing\n",
      "Cycling                            70.526316\n",
      "Gymnastics                         68.947368\n",
      "Shooting                           56.315789\n",
      "Swimming                           23.684211\n",
      "Status of Women                    20.000000\n",
      "Democracy Index                    16.842105\n",
      "Athletics                          13.684211\n",
      "GDP (US Billion Dollar)             1.578947\n",
      "Coastline (Km) (2018)               1.052632\n",
      "Temperature (1901-2016 [C])         1.052632\n",
      "Elevation (Feet)                    1.052632\n",
      "Population                          1.052632\n",
      "Overall Jokl Rank                   0.000000\n"
     ]
    }
   ],
   "source": [
    "percent_missing = SportData.isnull().sum() * 100 / len(SportData)\n",
    "missing_value_df = pd.DataFrame({'percent_missing': percent_missing})\n",
    "missing_value_df.sort_values('percent_missing', inplace=True, ascending=False)\n",
    "print(missing_value_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Missingno Matrix Plot Visualizing the Sparsity of Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/KUHCZh1VbaX8H84ap3/HDserO/4NmXlFh+P0VUS8i7KIrdvFVc8FftLtYqhqDosB3wM+DnQToH4ucF5V2XoqGdXryOLAT4G30fnv0GdQAti/iYjlupzCekDX51ON/YDfRUS3iylbiohtKHcm6OmuJxHxNODXwMb9mNeoy8zzgUtqul7V7mtBG15d0zaPcjeSoaoWAh0FfJUSdO7FE4HfV4tn1R/HUu5IUGf3Dsapu0NIt5YAToiIw/o4Zr+NzLVckiRJkiRplI33hyxJkiRJWph9B/gijwy97R4RK2fmeJWrG70AWKap7ReZeVM/JtimOcAVwC3AbOBeSmhyZeDxtA6SLAmcHBFPzsxLhzDPnlWB45NY8GfZuZQqvv8FbqdU0N0YGEglyMx8MCJeCPyJBf9/3xMRZ2XmrzoY8iPUBwL/Ahzc5TSnovEWL7T7nOtaRMwATqGERVuZQzmXrgfuA9agVKtsNffVgV9FxHaZ+fc+Tneq+FeL9tdHxOGZ+eBQZ9OepYAfsWD19QT+BvyHEsxdvtpmkxbjLAocGxGbZeZdnU4iIrYHfsD4FaT/C/wDuJFy3V4LeCytF428sfr3TW1O4zcseB3sNAg/UdB9J+CbPY43qdXgI+JlwKdquu6gVLi+mXJtWJUSrmxVpX0nSmj6c13MISiL6PbudN8mGwCnR8RTexynn0bxOgJlweTOPY6xLeX7sVNmPtCHOY2ZTbl2zK4+5lEWTa5Fec1qFdzfCvh2ROzYx2rfa1AWmDU/L5KyGOc/lNf4xYH1Ke9NFxARy1OumcuOc6ybgH9S3vPeW425LOWuTpsy5LsEDcnXgK80tW1EWaR0Vi8DVwt6X1zT9fPM/HcvY3fpK9QH88ck5Zr8b+BOYDXK+/3VWmy/LGVR23My83f9nOh0lJm3RsRvgF1qup/NgudpN66hvAefTfkeL0l5v/ZYyh1YWnlvRFyVmV/vwxyGaTZT51ouSZIkSZI00gzCS5IkSZqWMvOuiPgBsH9D8yKUQMj/tTnMQTVtx/U2swnNo1QYPgX4LXBpqxBZFfx9MvAq4EAWrIC9OOWP6E+aKKCVmds3jX0WC1ZbPj4zD2rrq+jO8TzydvL/poTIT8vMBSrORsQawHMGMZHM/GdEvI4Fq//PoFQm3DIzb5xonIjYCXhvTde9wAv7HJybbFuO0zfwIDzwLlqH4O+gnEsnZeYtjR0RMYsS8PkAUBcuXRk4MSK2ycxWlTLJzHWbxr2WBavnfiQzD2n9JQzd2TzyGjlmHcp5/tIpGGI9gkcGLW+mVNj+bt1zMiI2pNzJoS4MuHrV97ZOJhARKwAn0joE/2NKWPq3mZlN+64NvAJ4N4+83o15Y0ScmZmntDGV37BgaP5xEfGozLy5jf1h4uB828H6iFgS2Kam64x2xxiATYB9m9p+BHwGOD8z5zZ2VFXbXwh8knJ+NDs0Ik7OzBs6nMfBLHiHmTFzKUHj7wB/Bm6g/E53NeBplOqwjXcv2Az4QofHH6RRvI68ivJ9bnQlcAKlSnxjEHczyvdgX0pos9nTKN+P1/cwn7uAn1DOgwsz85pWG0bEMsAelOd+3fPtmcD7gY/2MJ9GX+GRi8VuBz4GfKfueRARK1H+v5p9hPqg612U9+XfGm/BWXU3hg0pi232BHaguzsrtK16vT6kYQ6HAB9u2uy65tf/Dn0L+DQLLrx8NT0G4Snfh7qFB0f1OG7HImI/4LUtuu+nXHOPy8xHLKypFhE9g9bv8ZYAToqIx2XmneNMoe5OYS9gwQUel1B/V6hGE/WPsl9TH4R/UpfjXQGcCvwSuDgzZ7faMCLWp/w8+3rK4pdmR0TEuRMtTB3S87aVqXwtlyRJkiRJGmmd3tZVkiRJkhYmx9W0HdTOjhGxLgsGwW+nBOgG4U5KCGStzNw2M7+QmX8cLzyWmfMy84LMfDUloPC3ms0eSwkVjILNGx5/E9g0M79eF4IHyMzrM/Mbg5pMZp4I1I3/aOBb1UKEliLi0ZSAU912b8jMK3qf5ZTy7Bbt12Xm3YM8cERsTgnZ1TkbeGxmfrE5BA+QmXMy83RK1f7moMyYrYAP9WWyU8vPKSHcOvsCf4qIvasA4lTRWHH8NGDDzDyi1cKUzLwyM/cH/l+L8V4eEZ1WGf4q9SHph4GDMnOPzDy7OQRfzedfVUhrK0pArM6R1fVjImdRFk81Ciau8l42jFiZR15366wREa2q6jfbjvpg6mQG4bdhfnj5bmC3zNwzM89pDsFDuSNIZp5AqQxfF7ZbkjbfR4yJiPUoCy7qXAY8NTP3yczvZuY/M/PezLwzM/+emd/IzOdQgon/adjv5dSfg5NhFK8j72p4PJeymOaxmXlo9d7r5upcuDYzf1YtAtwcOLfFeK+NiG27mMdfKIsIVsnMA6pzoGVwEiAz767enzyNEhh9qGaz91QLdvqh8RrxS2Dj6j1q7WKQzLwtMx9RObpacPaSms2vA56YmR9oI9w6NzOvyMyvZuYuwJqU1/1h3qWp76r3RyfXdO0TESv2OHxd9fX/UhZ7DE1ErEbrauKXAltWz70F7i6RxdmZuRvwGuqvNWsCXxpvDpl5UPMH9Ys0T6vbtunjtPGONeL+0KJ9jYgYr2J7ozmUO3w9ITM3zcz3ZeZZ44XgATLz6sz8MPAYyvu7ZkvS+n36ZBuFa7kkSZIkSdJIMwgvSZIkaTr7DY8MjgFsFRGPr9u4yYGUQGGjkzOz7o/UvboMWDsz39tFlVkAMvMvlOqY/6zpbq4YPNUdTwmT3jfZEwHeTP0Cg52A97XaqapgeQKwak33NzPzm/2Z3tRQBWpf3qL7V0OYwhHUB3AvAnbPzP9ONEAVsjuU1pUX31stkFloVKGzk8bZ5DGUu1P8KyK+EhF7RERdlc7JcDLwgnYXWWTm4dR/rcsCe7d70IjYnvpqx0m5btVVna2bz+XAziz4GgXlLgSHtTHGbOBPNV3tVnHfgQVf537Ww3h1Afwr68KNk+A+YIdq0cuEqoUV+1AWNzRrda1r5UvUVxK/FNguMy9sYz6/oCw0aHyP0HwXmEkxoteRxv+711ZB7HHf32XmVZRz/Dc13QEcVQW+2/XRzNwiM7t6b1kFhI+k3O2ieUHMksArOx1zAr8C9mi1OHECTwfqQt2vyMwru5lMZt6SmYdk5ru72X+KObKmbTHgpd0OGBGPpb7K9LGZOafbcbv0Ceq//9cAz87Mf7QzSGYeTQnD13lJRGzX5fw031/H6VuvzTE2qcLgF3czgcy8lVKt/9Sa7n2qhRVTyahdyyVJkiRJkkaSQXhJkiRJ01ZmzqOEkZuNWyG9CjG/rKbruD5MawGZeUdm3tWHcW4GXlXT9biIeGqv4w/JNZRq6QtUUp4MVRj/hcD9Nd2HjBO6eS8l5NrsCuANfZrelFA9X44GlmqxSV2wtp/HfxwL3r0BSvB178y8p5PxMvNDwK9rumaykH3vKh8C7phgm9Up1Sp/CNwcEVdGxMkRcXBEbBcRdSHfQboSeE3WVPSewLtZMGQE8JwOxmi1sOhLmTleGHgBmflvSvCpzv4RsVIbw9SFctsNrtdt90EWrLjby3h185sMB2fmHzvZITP/Bhxb07VhRKzfzhgRsTHw3Jquu4FdM3Oi517jfK4Fnkfr6uuTaRSvIwCfzsyvt7txFXJ8PnBVTfdmwB4djHVdu9tOMM6plAWEzeqqgXfrTuDAHOcuRROoe77ckJmTebeIKSMz/0RZuNesl+9h3b4JtH2+90O1UPJFNV3zgBe2s1CxUZY7QR3TovvNHU5PTaoFdq1+Jl2zzTF6vrZV7+9eBTQvvFmEDu/KMmgjdi2XJEmSJEkaWQbhJUmSJE13x9W0HTBB1c5nsGBo57LMrAupTCmZ+Vvg3JquUamS+K4pUgn+fzLzMuAtNV0zgZOaw6oR8XTgIzXbPwDsl5n39n+WkyMilqAERfdqscnfKKHHQXpji/ZPVEHjbrwVqKuY+oqIWLzLMaekKly7L/WVr1vZgBJs+xzwW+COiDgnIj4eEXUVaPvtPZ0ucADIzP8AZ9Z0PaGd/SNiDWDPmq5bgQ93Op9qTudQX017ceAVbQxRFyRdLyLaqdzaHFy/rgqLN1eZ3yEixv0dY0SsQP3/41QIuv41M7/W5b51i+mgzXOG1tWLD63Ox45UgdmjOt1v0Eb0OvIf4NBOd6ruQvGOFt2tvt+D9vGato0j4lF9Gv9jnQaWmzy6pm0q3CliKqmrCv/YbhayRkSravK/zsyrO55Zb15JqW7f7Ngefq56H2VxRrPnR8TqXY6p+Vo91/t1PWlLtVCs7nkxKj/TdmPQ13JJkiRJkqSRZRBekiRJ0rSWmf8Azm9qXpXxKwC/vKatrkLbVHV6TdtThj6Lzt3C4EPTXcnMY4CTa7rWBI6rqqITEStW29UttDg4My8Z3CyHJyKWjYhXApcw/h0W3t9F1e5O5hHUVxp9APi/bsetKkH/uKZrJTqrHj4SMvM3wI60Dj9NZFHg6ZRw2vkRcXlEvDMiWt0loBfXAaf1sH9dEH6zKjg4kRdS/9w+upPK3jU+2aJ9/zb2PQd4qKb9WePtFBFrARs2Nf+m6d8xrULujbZnwd9DJvX/38P2xR72PZ9yPWm25UQ7jnN3mdn0cH0CPkb9nQ0m1YhdR6AslupqYVpmnkZ9Be+dq+fWUGXmVcA/a7r68d7vYXp/D1y3QGKVHsdc2JxMfbi7m2rQ+wAr1rQf3cVYvWr1OvaZbgfMzFuAb9R0zaIsyFFvWi00XGKosyhG9Wfargz4Wi5JkiRJkjTSDMJLkiRJUn1V+IPqNqwCV/s0Nc8FvtXfKQ3UlTVtTxz6LDp3amZ2Uk122F5L/f/t7sD/qx4fB9SF4E7JzK8OaF79snJEHDfOxwkR8eOIuBi4AzgG2Gic8Q6vwoKDtBmwfE37TzKzLlDWiVaVoDuuzjoKqsrkWwJfpbOqznU2BT4N/DMiXjG2UKRPftbj4oq/1rTNBFZuY99W3/sTu58OZOZfgb/UdD1+ohBwdQeN5sVesGC193b6WwXhux3vL1VgcbL9tNsdq3Pt8pquVdvYfRPqw76nZOaDPczpBuCsbvcfpBG6jjwMfKfHMereF84AntnjuN0a1Hu/M/rwPL65pm2DiNi2x3EXGtW1vO6c2i8ilu1wuLrw/NAXm0bE0sDjarouyswrehx+Wr1HG7L7W7RPRhC+7rq2UkSsM/SZDM+o/hwvSZIkSZI0UAbhJUmSJKmEnZoruj6vqt7dbF9g6aa2X2RmtxVOJ8OtNW2PHvosOnfhZE9gPJl5N7Af9dWXPxkRRwHPq+m7FnjVAKfWL0tRqru3+ngJJfS/BRP/vuEE4OCBzXS+bVq0dx18bfAzYE4Hxxx5mXlzZr6BEuD9LHBDj0OuBnwd+G5ELNnr/Crn9rh/q2v5cm3sW/e9vy4zL+thPmN+VNM2E3hyG/ueUdO24wTB4brg+tg45wLNQe1ugvB18xq2qzLzxh7HqDtn2jlfWlVwrbvbRKfqzpcpYUSuI2dn5m09jnFKi/bJqtw7qPd+/XhvVrdYB8r3dOs+jL+wOLKmbUnauzsIABGxIfWLMY7PzLr3r4P0FOrfL/b8Hi0z/wz8p6ZroX2PNkSt3uPnUGdR1F3XYDR+ru3WqP4cL0mSJEmSNFAG4SVJkiRNe1Vl6NOamhcDXlSz+UE1bcf1d0btiYgnRMQbI+JrEXFeRFwZETdFxH0Rka0+qK/mu0RELDrsr6FDf57sCUwkM/8EvLOmaxHqK3A+DLwoM2cPcl5TyF3AKzLzZZk5jMDMk1q0X9zrwJn5APD3Do650MjMazLznZS7G+wEfJISZOy2wvMLgLP6FGK9tsf9727RPm7F3Yh4FPV3e7i4x/lMNE47Qfi6a/4qwOPH2WeHps8vGwuMZ+b9wHlN/du2eg2JiNUo1bvbmdewXduHMerOmXYqNLf63vXjte6SPowxUFP8OvLHXgfIzP9QX+m86yB8RCweEbtHxAcj4nsRcUlEXBcRt0fEwxO893tpzZDLdzuXBj2fr5l5JfV3vVgNOD8iTo2IXUfgfepAZeal1C/2qnt/2cqrgLpFUEd3NaneDOw92jjjrBMRdXfiUPsWa9HevKi8bRGxdkQcFBGfj4hfR8TfI+KGiLg7IuaNc11rdQeg5budyzBM0Wu5JEmSJEnSSJs12ROQJEmSpCniOBYMvh8EfGXsk4hYD3hG0zZ3MMTKqxGxHPAWSvXtjfs8/PLUh7amipsmewLtyMwjImIHYK82Nn9fZl4w4ClNBf+hVOz92pDvnrBaTdsc4G99Gv8S4HFNbUtFxDLVHQIWapk5j1LV+wyAKoC6JbAV8ARK0Pdx1Ifumj0ZOIpybevFHT3u3yrItfgE+9Wda9C/QHKrcVZtY98LgHtY8G4mO1ETPo2ITYE1mpqbQ+tn8Miw/JLAU4Gza45fVw1+DvDb1lMeml7PF6g/ZyY6X6B+4cSdmfmvHucD9aHiKWmKXkf6+bzdualtg04HiYgnAW8C9gaW6cO8xrRz54KJ9Ou92SHAqTXtATy/+rgzIn4DnAX8DvhrZrYKwi6sjgSe3tS2VURsVS3GbCkiZlG/oPfszPxHn+bXiWG8bu5e074qcEufjjEdtVrodV8ng0TETModpQ4CtqW9a3y7lu/jWH0zxa/lkiRJkiRJI82K8JIkSZJU/Aq4vqntyRGxWcPnB7LgH+m/nZkPDnRmlYh4KXAFcCj9D8EDLDGAMfvpzsmeQAdeAUwUZvwZ8LkhzGVY5lJCpddSqnB+G3gHZfHIupl5yJBD8FAfhLkzMx/q0/itFo7UHXehl5n3ZeZ5mfmlzHxlZm4OrAzsR7nrxkT/7wdExB49TuPeHvfv1vIt2vsVtuv6XMvMOZTQaLO6gDrAjjVtzUH4umrunYx34RRZLDJZ5wvUf+/6cr5k5u20rpQ7pU2R60jz+8Fu3VDTtny7O0fEChFxJGUxy4H0NzgJZQFLr/ry3iwzfwB8eYLNlqMESI+gVKK/MyJ+ERHviogt+zGPEfB94Laa9naqwu8BPLqmfTKqwcMUft3UuFotYGh7UUxEbANcRFkkux39DcHDFPuZdkSu5ZIkSZIkSSPNILwkSZIk8b+KpCfUdB0EEBEBvKym/7jBzWq+iPg08E3qAyx9O8wAx+5ZZt4z2XNoV2beAbx8nE1uAA7MzBzSlPrhusyMcT5mZeaKmbleZj4hM1+cmZ/LzN9NYsXWFWra7urj+K0CgHXHnZYy8/bM/G5mPh/YiImvmR8c/KwGotX3vF/n293AvA6O26wuuP7MqkJws+ZA+1wWrPR+YTWn8fYbr/2MFttOJ8vXtPXz+jQVFhr0xSRcR/r1fah7jZgVEc13Z1hARDyKcteE1zK43+H3431fP9+bvRn4KNDue6OlgGcDnwL+HBF/i4h3V3dPWihl5gPA8TVd+1d3UxhPXVj+duCUnifWnbrXr3l9fL/ve7Q+i4gVWfDuMmP+0+YYe1GubVv2Z1b1hxng2B0ZoWu5JEmSJEnSSKv7Y5ckSZIkTVfHAe9pantJRLyPUtV6vaa+yzPzD4OeVER8GHhnG5veRgkh3AjcDzwA1FWrXxV4Tt8mqFb2G6fvbuC+YU1kGqsL6/SzAnSrsfpd6XGhkJn/Al4eEb+gLDyq+73UkyJiy8y8eKiT612rYFhfzrfMzIi4nxL8bNTuuVYXhF8aeApw3lhDRMwAtm/a7qLMfESgMDPnRMTZwO4NzU+JiGUaK71HxIbA2m3OZ7qpO2f6+bpwDwth5eMhXUf6tYig1TjLMU6AvAo0nwk8ZoLx5wD/Bf5NuSPLA9XHnJpttwU2mGC8SVUtDvxQRJwGHEbn71U3Az4JvCsiPgYcPmILDtv1NeDgprZlKe87j63bISLWpiwaaHZCFa6fDIO+Bvoerf8eP07f1RPtHBHPAr4LLDLBpndT7sxxPeX7OHZtq3s+HzjRcSfLdL2WS5IkSZIkTQaD8JIkSZJUycwrIuICYOuG5tWBnYEX1+xy3KDnFBGbAe9v0X0vJQR2OnBeZt7W5pjbYxB+oCJiX+A142yyCfB/wCuGM6Npqy5oOFHF1E40h5LHO64qmfntiHg0cHiLTXYELh7ahPqj1fe8L+dbdVeSJTo4brNLKIulVmpq34mGIDylQuuKTdu0Cq3/hkcG4WdRFo39tKFtx5r9Hmg65nRVF9IcxvVpoTDg68jiXe7X7jj3T7Df+2kdnPwH8HXKXRr+lJkPtzORiDiOEQlPZuafgF0iYgPK3Zh2BbYCZrY5xIrA54GdI+IFmblQLTzMzH9ExJnADk1dr6ZFEJ7yfrOuGvUx/Zxbh+pev+pe57rle7T+27pF+78m+jk0IhYDjqQ+BD+P8t7hO5Sfaa9pd0IRMWWD8Ezza7kkSZIkSdIwDepWfJIkSZI0qo6raXsTsE9T21zgWwOfDXyC+sDAz4F1MvP1mfnjdkPwlVaVi9UHEbEecHQbm748Ig4Y9HymuTtq2pbt4/itxqo7rh7pS8CVLfqeOsyJ9Emr73m/zrelqf89XlvnWlUV+cyarmc1fb5TzTbjBeGbNe9fN965mVl3t5LpZnZNWz8rFU+HqseDuo7063nbapw7W7RThfvfXtM1B3grsGlmfjozL2g3OFkZufd+mXlVZn44M59CWcSzG6VS/DnU3/Go2a7AidVCooXNkTVtT42IxzY3Vnf6qFt4eX5mXtr3mbWv7vVrZkT0axGP79H6r/k9w5iL2tj39dQHuK8CtsrMPTLzxA5D8FP2uua1XJIkSZIkabgMwkuSJEnSI32bUq220W4sWFXwV5l5wyAnUv1xf5earouA53UYfm/UXO1XfRIRi1DOoeXa3OXIiNhogFOa7mbXtC1ffZ/64VEt2g1ZTSAz5wKntuhedZhz6ZPZLdpX6dP4/TjX6oLr20REYxXy5uD6eNXbLwVubmr73/5V+LS5YjHAGRPMc7qYXdPWl/MlIlZgGtwJdIDXkX69T6ob5+5q3q3sASxW0/6OzDyiWtTSr7mMjMy8MzNPz8z3Z+Z2wPKUOzZ9CbhpnF33AvYd/AyH7gfUf92vrmnbBVirpr2dRZuDNLtF+1R63VQlIh5F/Ws6lAXaE6l7Ht4J7JSZl3Q5ral8XfNaLkmSJEmSNEQG4SVJkiSpQWbOBn7YxqbHDXYmQKm6V/cH9Hdm5pwexl2jh301vk8AT6lpPx/4VE370sC3I2LRgc5q+vpvTdssYLM+jb9FTdu9mXl3n8Zf2P2pRftKQ51Ff9SdawCb92n8unMN4MYOxqgLoC8KbAf/W8izbVP/uZnZvDgMaFll/vERMRZifDz1gcZWFeanm3/XtC0fEXWB1U49vg9jjIpBXEcWqKrdx3HGC21DWXzZ7FrgiB7nslC998vMBzLz15n5ZkrI++UsuDBnzLuGN7PhqCpIH1vT9dKIaP7ZoS4cfxfwnb5PrDOj8Lqp+V5B/QKrBH463o4RsRKwTU3X4Zl5XQ9zmsrXNa/lkiRJkiRJQ2QQXpIkSZIWdNwE/bNpLyzfq41r2u4AftvjuE/tcX/ViIjnAgfXdM0GXgy8Hzinpn8r4DODm9m0dlGL9i17HbgKmm3awTG1oNtbtM8c6iz6IDNvpj7YvGWfDtFqnAvbHSAz/0H9HMequG/Dgnc/mSi03tzfWAW+ubo8lPClz5Gi1ffuCX0Ye8s+jDEqBnEdaRWgbVtELAHU3fFlovO/7r3fD3uoHkxErNhiLguFzHw4M48Dnkb9+bBVwwKdhclRwLymthWBfcY+iYhVgd1r9j0xM+8b4NzaMbD3aOOMc11m3tKn8aeNiFgGeHuL7l+0cZe0Daj/W+RpvcyLqf0zrddySZIkSZKkITIIL0mSJEkL+hUw3h/0v92qQm6fPbqm7V+Z2Rx6aVtV8fdp3U/pfx6qaaurEjgtRMTqwPGUEGizV2bmdZk5F9if+pDWWyJiz0HOcZr6fYv2uiqNndoFWKSDYzbzOVQCe3XuHOos+qfue79eRPTjDgTPq2mbSwdB+EpdVfidmv5t1GkQfqLxzq6uhYI/tGiv+153ao8+jDEqBnEd2Skiel2QsxP1YfxW3/cxde/9ru1xLs+k/v3JQiUzr6J+YWEwnLskDPV1PTOvAX5Z0/WqhscHtZjD0YOYU4f+wIJBfujDe7SI2IJyp4Bm7b5H0yN9Gli5Rd//tbF/3XUN+nNt69WgnrdeyyVJkiRJkobIILwkSZIkNalCet8aZ5PjhzSVZWra7u9xzBcAK/U4BsDdNW1L9GHckRMRM4ATqQ+IfDUzTx37JDP/DbyixVDfiIi60I66dznlLgrNnldVt+zFS1q0n9/m/j6HWle1vHaYk+ij81q0H9DLoBHxWOor2/41M+/tcLi6IPyWVZXRHZva7wT+ON5gmXk1C36/doqIWcB2NbtMFKyfTv4O1FUm3iciFu120IhYjflV+aeDQVxHHs2Cz4dOtXreTxTEHcR7v9f1uP8o+XWL9lYh3n6ajNf1r9W0bR8RG0ZEAK+s6f9jZv55wPOaUGbeA/y1puspEbFhj8P3+h5NlYjYH3hti+5zM/P0NoZp9Z6762tbRKwJPLfb/RsM6nnrtVySJEmSJGmIDMJLkiRJUr2vAZ+r+Tg0M4dVTXB2Tdua3Q5WBbZb3da+U3WhgTX6NPao+SCwfU37X4CDmxsz84fUV09cETipD1VoVcnMBL5d07UE8MZux42ITYC6Cv63Ab9ocxifQ/D8Fu2THtDr0neBOTXtr46I5XoY990t2k/sYqy6IPoMYHdg66b2s9qs3t485gbAvsCyNdvWBfGnper6dEJN1wr0cH0C3sf0+p3voK4jb+t2x4hYG9irputqJg7Cz65p6+W935bAzt3uP4LuadH+8BCOXfe6vkJEDDIM/2Pg+qa2oFSF3wGoC5QfNcD5dOqkFu3v6HbAiFiJ+gUAD1Nep9WmiNgPOJb6KuRzaf86ObtFe9fXNsrPtP2o3D6o5+3smjav5ZIkSZIkSQMynf4oIkmSJElty8yrM/MdNR8fHuI0bqxpWzMiNutyvHcDT+xhPo2urWnbtKoCPG1ExDMpQfhm9wL7ZeYDLXZ9J/UhvW2Bj/Rpeiq+3KL9/RGxepdjfhFYpKb9mHG+582urWl7XJfzGYiIeH1EPGZAY+8NbNWi+5eDOOagZeYNwGk1XY8CunrtiIinUl/Z9n7gG52Ol5nXA1fUdH0AaK5C3m719rrt6q5jNwOXtjnmdNEqkHpIN9eniNgCeH1vU+qvEb6OPDcidu1y388Ci9e0H1MtgBhP3Xu/Z3czierOAsdTH2JdWLWqJH7DEI59bU1bAI8d1AGrxUrH1HQdBLyhpv1e4ORBzacLXwfq3je9OiKe0OWYh1EWFDU7NTP/2+WY00pELBERn6OcK63uUPLBzLyozSHrrmvQ/bXt6cBbutm3xrV1h6D3563XckmSJEmSpCEyCC9JkiRJU9f5Ldo/1OlAEbE7cEhPs3mki2valgN26eMxprSIWJlSkbmugvubMvPvrfbNzAeB/aivXPreiNipP7NUZl4GnFnTtTRwSkQs2cl4EfFh4Dk1XXOAr3Yw1MU1bY+NiKkUht8N+GtEnNzDApwFRMTmwJEtui/LzD/261iToO5uDwBvjYh9OxkoItYEvkN98OnEzLy908lV6qqyb1TT1m4Qvt3xzmwjBDytZOYVwM9qupYFfhYRy7c7VlWF/CfUvyZNplG+jnw9ItbtZIeIeB3ljgjNHqBUVp5I3Xu/p0RER++vqrvLfB3YvJP9JkNE/L+q2nE/vK6m7UHg8j6NP56LW7S/aMDHPZpSnbvRo4F9arb9dmbWVcCeFJl5G/XB/BnAdyPiUZ2MFxEHAq9u0d3q9VmViFiquoZdQbmrVavg9cnAJzsY+q/U/8zzzk4rr0fEhtXx+/W3zYtbtPf6vJ1213JJkiRJkqTJZBBekiRJkqauPwB1QccXRcR72xkgilcDP6B1Rb9unM+CoRuAIyNi54hYqCvWVV/fccAaNd0nZuZxE42Rmf+kvnLvDOBbnYZ/NK63UIJwzbYBftTO/3VEzIiI99N6QcnHM/O6DuZ0Tov270TEkzsYZ9BmUMJAl0bEryLiJZ0uHhhTXY8OAM4GVmmx2aFdznNKyMzfAifVdI09r/dvZ5yI2IRS0Xqtmu5bgPd3Pcn2Au43Zubf2hksM28CLuvTcaejNwH31bRvDvw2Iia8k0tE7Az8Dlizofnh/kyvL0b1OrIa8Mt2A/wR8Vpa34Xko5nZqipyo7qFEVCuH49vcx4rAt+n/m4SU9GewJ8j4pcRsUdV/bgj1XnxUcrCi2Y/zcy7ep7lBDJzNvXXwrdUd0ZYbEDHvR74aZubHz2IOfTofcBtNe0bUp5/G7QzSES8glIdv+5nkOMz89zup7hwqt7bbhgRB0bEtyhVzL9K/XuPMd8GXtrJwrbMfJj69wDrAd+OiLo7aNTN92mU17rx5teRAT5vp+O1XJIkSZIkadJMq1vWS5IkSdIoycy5EfFF4CM13YdVYYBDM/PC5s4qULAz8F7gqU3dPwae1+PcboqIn7Ng4GgNSnjzxoj4KyXYUhdA/ntmdlJJcKr5f9SHrVqF22tl5rci4lnAgU1dqwLfjIhdraDcu8y8NCI+CHy6pnsn4G8RcQilUuqtjZ0RMQt4FvBB4GktDnER8LEO53RRRFwGPLap6zHAHyLiX5RgzmzgoZohzsnMYzo5Zo9mUP4fngV8JSJ+BPyimsc14+0YEWsAewEvB8YL9f44M7/bn+lOqjcCz2TBhTKLAidWleE/B5zb/PyOiLUo/0/vBVoFw16TmTf3ML8zgXmMXyCj09D6b1jwXG5WVzl+2svMqyPiQ8Bna7ofD1wQET8Avgv8Cfgv5Xe6q1Fe3/djwbuxHAvsCKwzqHl3aVSuI2dTnsNQ7m7wp4j4FPD1zPx307wC2I7ynG1V6fevwGfaPPaPKe8lmu+qsBLlXPgE8NXm16pqLmtQFhy8D1ixoetuyrnzzOZ9ppidq4/ZEfFD4HTgosy8utUO1YKKXYB3Uha3NZtH+//3/XBczfEWAb4CfCoi/gLcANwPLPD+LjMP6vK4RwJ7TLDNXzLzgi7HH5jMvLGqQv69mu4tgL9ExGGUMPt/Gjur59+2wLuA3Vsc4l+UBZHTwbYRcdw4/bMo7y2Wp7yGrAe0W5F9LvCBHn5++zxl0UuzPYCLIuIDlOv3IxZaV9/jrSnvrQ7gkQsdev6ZtnIc/X/eTudruSRJkiRJ0tAZhJckSZKkqe1w4DXUVx7fHdg9Iv4LXEKpHr8kJUT9eGCpmn1+WY3Zj9DAYZTw0cyavlWrj1bOBkYyCB8RT6J+7g8BL8rMuzsc8o2U8NYmTe3PoQR7PtXxJFXnc8AzqA9KrQT8H/CFKuxyPaVC8+rAZsDK44x7C3BAZs7pYk6HAt9p0bd29TGeYQbhGy1DCSMdABARdwJXUf7f7qEED5cBVmDi/78xfwFeOojJDltmzq4qv/+C+jD7XtXHDRHxD0oF1mUo3+/HUV/NdswXM/O0Hud3e0RcAjxhnM26CcKPFzS8LjOv6nDM6eQLlFD7PjV9M4EXVB/tuJyyWOuSmr66O7lMlql8HTkY+CHzK+wvDnwY+FBEXAr8G7iL8j5nE0qgtJV7KNWT26rQXy2CfC+lCnCzJSivG4dUiw2vobxWrUSpkPyYFsO+gbL4YFTCk8tTFggeCBARdwBXUt7n3kEJoi4DrAtszPh3PPpcZv5+gHNt9nXK82/1mr5lgKdPsP9BXR73F8C1lP+TVqZiNXgAMvP7EfEVyrnabEnKYsOP1jz/Nqb+/3rM/cD+w7gjwBSxQfXRb+cCb8zMuteVtmTmbyOiVXD9sZS7l90dEX8Exhb7rQpsCtTduel64NWU91C96vvz1mu5JEmSJEnScBmElyRJkqQpLDPviog9KbeBb1WxbzXGD2GN+SMlSDdeJdVO5nZeRLyH4VbanFQRsSwluLxITfc7M/NPnY6ZmfdGxH7ABcBiTd0fi4izhxziWihl5ryqEvd3ab0QZBawVfXRjhuAXTPzH13O6bsRsR3wpm72n0KWo7P/t2a/AvbLzDv7N6XJVQW+9qJUuF2mxWarM36Ar9mXKEGtfvgN4wfhO63efjYlZF23MKqb8aaV6vo0Vul27x6GuhrYLTPvjIi670XdHVqmiql0Hbmd8jpxNrBsQ3tQFho+vs1x7gP27jQ8mpmnRMRnKFXO68ygVMreoo3h3t9w95lRtQLw5C72+xrwnj7PZVyZeUe1EOqn1C9IHdRx50XE0cDHW2xyP/CtYc2nS2+mvIa8tkV/p8+/uyjPv3P7MLfp6gzgs5n5sz6N9zLKzzsbt+hfBti+jXFuB3ap7lDW86QG9bz1Wi5JkiRJkjQ8490CWZIkSZI0BWTmH4FdgZt6GOYHwPZdVCsfV2Z+llJhu6sg8Ag6Cli/pv1HmXlEt4NWIbm313TNAk6OiOW7HVvzZeYDlErcHwbaqs47jl8CT87Mv/Q4pzcDL6dUtpxqjgZOZ3Dh2ZuBAzPz2Zl5x4COMWky8xeUKt8X9zjUXcArM/PNmZk9T6wYr+L7lZl5XSeDVeHji7o8noDMfBDYF/gA5Q4jnTodeGpmXlN9vnzNNvd2N7uejOR1JDMvplTd/U+XQ/wb2Ckzf9Xl/u+h3H2m2+f8A8CrMvOwLvcfpm7O9/HcDbwtM1+XmfP6PPaEMvNsyqLTM4d86K/T+r3N9zJz9hDn0rHMnJeZrwNeR7mTQi8uArbOTF97OvMgZfH1u4H1MnOnPobgqc7BZwEX9jDM5cA2mXlpXyZVGeDzdjpdyyVJkiRJkiaNQXhJkiRJGgHVH+e3Ak4A5nSw698oFVL3zsxeQyWt5vbTzNwE2I5SifInwJXALZQ/3i8UIuI1wH41Xf+hBJl7kplfBk6t6VqXEm5SH1RBq0OBzYGT6DwQ/yfgBZn5nMy8oU9zOg5Yh7Lg5TOUkP01wG1MYgXnzPxhZu4GrAK8CPgG8M9ehwXOpQTdNsrMb/Y43pSWmZdRKhm/Driqw93vpVSB3ywzv9Hnqf2O1ud+t9XbxwscWhG+DdX16ePAYyjX/fsm2gU4B9gzM3fLzJsBImIWsHTN9r0sqOvKKF9HqjD844Av0/61+EHgCGCLXu7mUp0L7wWeS2eLaeYCpwCPy8xRee+wG7Az5f+tl3PjVuD/gE0y84v9mFi3MvOKzNyRUvn63cC3gUuBGynX9n4tamo85k2URSd1ju738QYlM78GbAZ8lYmvgc3+CbyaEpT+e7/nNuLmUv4/7wCuBf4A/Bj4IuVaui2wXGY+IzM/nZnXDmISmflvys+MhwKzO9j1FspCsS0zs9fXkFqDeN5Os2u5JEmSJEnSpIn+FZKSJEmSJA1DRKwL7E25dfxjgJUot5K/nxKc/Qel0t7PMvOcmv0XB1atGfo/mdlJyF4aeRGxErAn8Azg8cDawLLATEpg6L+U59T5wE96rQC/MIiIR1EqnT+GEhbaCFiNch0a+7+7m1LJ/C7gOuCS6uP3VQhq2omIAJ4GPAfYmvL/9ihgCUoofTYlnHYxcBbw48ycjAremiIiYglKYHBLYE1gScoCs1spC91+l5n/rdnvMcBlNUNuk5kXDGzCHZgK15GI2J766r/rNYdAq/nuTalm/LhqrktRgu//pYQlfwV8JzNv7XVuNXPdEdiFcj6sSXnvN4tSOft6SpXksyl3qFng/yYiVmbBxREPZOaN/Z5rryJiFcq18knAhsAGwOqUc2MpSgX5uyjXzH8AfwZ+D/w6M3u928tIi4grKM+nRn/PzM0mYz69ioilgedRfubZAlgPWA5YhPJzz02Uxbe/B36emef38dhrUp5jjWZP9cr6oyQilgX2AXagVGNfBViB8p7oTsoCwksoC0R/Xt05pXmMdWuGvnVQC8B7NZ2u5ZIkSZIkScNkEF6SJEmSJEmSFhIR8Qrq7ySyfGbeOez5TFWdBOGlqS4inkEJ0DZ7e2Z+ftjzkSRJkiRJkqRhmTHZE5AkSZIkSZIk9c1za9r+aQheWqi9sqbtIeD4YU9EkiRJkiRJkobJILwkSZIkSZIkLQQiYm1gr5quusrnkhYCEbECsG9N16mZeduw5yNJkiRJkiRJw2QQXpIkSZIkSZIWDp8FZta0nzLsiUgamtcCS9S0HzXsiUiSJEmSJEnSsBmElyRJkiRJkqRJFBHRhzH+H/VVoa8FftPr+JKmnohYBvh/NV2XZqZ3gpAkSZIkSZK00DMIL0mSJEmSJEmT64yIeEtELNXpjhGxWEQcDny+xSafzMy5Pc1O0lT1SeBRNe2fG/ZEJEmSJEmSJGkyGISXJEmSJEmSpMm1HvBF4L8RcVJE7B0RdeHW/4mIjSLiXcA1wFtbbPYn4Jj+TlXSZIuIpSLiE8AbarqvAr415ClJkiRJkiRJ0qSYNdkTkCRJkiRJkiQBsAzw4uqDiLgB+CcwG7gHWBpYAdgEePQEY80G9rMavDTaIuKzwMrVpzOBVYGtKdeLOu/JzDnDmJskSZIkSZIkTTaD8JIkSZIkSZI0Na1efXTqdmCXzLyyz/ORNHwvANZpc9sfZeb3BzkZSZIkSZIkSZpKZkz2BCRJkiRJkiRJfXMu8MTMvHCyJyJpqP4OvHyyJyFJkiRJkiRJw2QQXpIkSZIkSZIm11uA7wL39jDGH4D9MnPbzLy2L7OSNCp+AGyXmbdP9kQkSZIkSZIkaZhmTfYEJEmSJEmSJGk6y8wfAT+KiEWBJwJPAx4HrAesDSwHLAUsAjwEzAb+Q6kAfSFwemZeOfyZS5oE84A7geuA84DjM/MPkzslSZIkSZIkSZockZmTPQdJkiRJkiRJkiRJkiRJkiRJkto2Y7InIEmSJEmSJEmSJEmSJEmSJElSJwzCS5IkSZIkSZIkSZIkSZIkSZJGikF4SZIkSZIkSZIkSZIkSZIkSdJIMQgvSZIkSZIkSZIkSZIkSZIkSRopBuElSZIkSZIkSZIkSZIkSZIkSSPFILwkSZIkSZIkSZIkSZIkSZIkaaQYhJckSZIkSZIkSZIkSZIkSZIkjRSD8JIkSZIkSZIkSZIkSZIkSZKkkWIQXpIkSZIkSZIkSZIkSZIkSZI0UgzCS5IkSZIkSZIkSZIkSZIkSZJGikF4SZIkSZIkSZIkSZIkSZIkSdJIMQgvSZIkSZIkSZIkSZIkSZIkSRopBuElSZIkSZIkSZIkSZIkSZIkSSPFILwkSZIkSZIkSZIkSZIkSZIkaaQYhJckSZIkSZIkSZIkSZIkSZIkjRSD8JIkSZIkSZIkSZIkSZIkSZKkkWIQXpIkSZIkSZIkSZIkSZIkSZI0UgzCS5IkSZIkSZIkSZIkSZIkSZJGikF4SZIkSZIkSZIkSZIkSZIkSdJIMQgvSZIkSZIkSZIkSZIkSZIkSRopBuElSZIkSZIkSZIkSZIkSZIkSSPFILwkSZIkSZIkSZIkSZIkSZIkaaQYhJckSZIkSZIkSZIkSZIkSZIkjRSD8JIkSZIkSZIkSZIkSZIkSZKkkWIQXpIkSZIkSZIkSZIkSZIkSZI0UgzCS5IkSZIkSZIkSZIkSZIkSZJGikF4SZIkSZIkSZIkSZIkSZIkSdJIMQgvSZIkSZIkSZIkSZIkSZIkSRopBuElSZIkSZIkSZIkSZIkSZIkSSPFILwkSZIkSZIkSZIkSZIkSZIkaaQYhJckSZIkSZIkSZIkSZIkSZIkjRSD8JIkSZIkSZIkSZI0DUVETPYcJEmSJEmSujVrsicgSZIkSZIkSZIkSRqeiFgFWAx4ALi1oX1GZs6btIlJkiRJkiR1wCC8JEmSJEmSJEmSJE0TEbEmcBkQwPUR8V3gn8D3gbnAvIiIzMxJnKYkSZIkSdKEwt9fSJIkSZIkSZIkSdLCLyIWB34K7FDTfWH1cRzw58ycW+1jlXhJkiRJkjQlGYSXJEmSJEmSJEmSpGkiIjYCZgCvBzYFnk2pBD+z2mQOJQx/Zmae3LCfVeIlSZIkSdKUYhBekiRJkiRJkiRJkhZyY0H2xn+rrv2BZwIvARav2saC8ccARwOXZOZDVoeXJEmSJElTiUF4SZIkSZIkSZIkSZpGxkLwYxXeI2Im8DjgfcBWwAYNm18E/AQ4PDPvMgwvSZIkSZKmCoPwkiRJkiRJkiRJkrQQiohFMvPhiJiZmXNr+seqw8/IzHkRsQLwBOAdwC4Nm84GzgEOyszbDcNLkiRJkqSpYMZkT0CSJEmSJEmSJEmS1F8RsTbwt4jYLjPnRsQCfxseqwhfheAjM+/IzDMy87nAZ4Hrqk2XB3YHzoqIR1fb+7dmSZIkSZI0qawIL0mSJEmSJEmSJEkLkYhYEzgLWB+4F9g5M3/fTiX3xurxEfEy4GXAjg2bXAVsm5k3WRlekiRJkiRNJoPwkiRJkiRJkiRJkrSQqELw5wBrA/cBSwIPAjt0EIb/3zYRsQPwGmC/hk3+BjwzM28zDC9JkiRJkiaLt6uTJEmSJEmSJEmSpIVAFYL/HSUEfz+waNW1GHBmRGyTmfMiYty/E1fbRPX4TOAzwHENmzwG+FZELNu4rSRJkiRJ0jAZhJckSZIkSZIkSZKkERcRqwJ/BtYB7gYuAD4J3FNt0mkYPhvC8H8CvgSc3LDJ04F3R8Ri6W3IJUmSJEnSJDAIL0mSJEmSJEmSJEmj71nMrwD/e+Ctmfkh4B3AvVV7x2H4hsd/Ao4CflU1LQ08F9gGYKKxJEmSJEmS+s1fRkiSJEmSJEmSJEnS6DsdeDvwTeC9mfnXqv1k4GC6DMMDNFSGPxs4Hriy6toCeEXVN29sO0mSJEmSpGEI71InSZIkSZIkSZIkSaMvIpYCFsvM2yMixiq6R8TSwIuBzwNLVZs/COyQmb+PiBmZOW+CsRvH+xjwvobuV2fm1/v99UiSJEmSJI3HivCSJEmSJEmSJEmStBDIzHsz8/bqcTa030OPleEzM8e2ycwPAD+puuYBu0TEslaElyRJkiRJw2QQXpIkSZIkSZIkSZIWcn0Kw8+LiJnVp4cBf6f8zXkvYIv0duSSJEmSJGmIDMJLkiRJkiRJkiRJ0gjptvJ6n8Lwc6uHfwPOrR7PBN4SEUt2My9JkiRJkqRuGISXJEmSJEmSJEmSpBGSmRkRa0fE0yLioxGxSQf79hyGr8a5C/h8wxibAkt19IVIkiRJkiT1wCC8JEmSJEmSJEmSJE1hjRXgI2LjiHgpcDbwA+D9wPER8fh2K8VXYfiTgP8H3FM1LwacFRFPbScMHxEzMvNy4P+AOcBjgZd2+KVJkiRJkiR1zSC8JEmSJEmSJEmSJE1RERGZmdXjlwGfBb4BrAOsAjwEPAV4X9XWlsy8l/mV4cfC8ItSKsNPGIbPzHnVw98DYwH8jdo9viRJkiRJUq+i+p2JJEmSJEmSJEmSJGkKaQrBfwh4G7AspeDZP4HrgWOAfwN3Apdl5twOj7EU8GLg88DSVfNDwA6ZeX5V+X1eywHKGN8FXgDcAmyTmdd0MgdJkiRJkqRuzJrsCUiSJEmSJEmSJEmSHqkpBP8Z4O0N3d8Gvgr8JTPvbLVfOzLz3og4ufp0LAw/Vhl+3DB8w7EupgThl6IE9SVJkiRJkgau5a3sJEmSJEmSJEmSJEmToyEEfwjzQ/A3AR/LzP0z83eZeWdERN1+HR7rXuBk4GDgnqp5LAz/1MycFxEL/G254VjHAg8CS1LC8JIkSZIkSQNnEF6SJEmSJEmSJEmSpqCIeCPwzurTG4FPZeaHqr6Z0F3wvU63Yfiq7WHgMmD3zDyvH/ORJEmSJEmaSPTp9yKSJEmSJEmSJEmSpD6JiCcBRwBbAwF8JDM/UvXNyMx5AzruUsCLgc8DS1fNDwE7ZOb5rY4dEY/OzJvGKtT3K6AvSZIkSZLUihXhJUmSJEmSJEmSJGmKGAuSA88AnkQJwZ88jBA8dF4ZvmG+N1f7pyF4SZIkSZI0DFaElyRJkiRJkiRJkqQpJCI2Av4ALAdcB7woMy+IiJmZOXdIc+iqMrwkSZIkSdKwWBFekiRJkiRJkiRJkqaWTSiV4AFuAS4HGFYIvjrWvcC3gXcAd1fNiwK/jIhtDcFLkiRJkqTJZhBekiRJkiRJkiRJkqaW3YFlq8enZeZdETH0v+1m5j2ZeRTwIeBh4D5gKeDsiFg+ImLcASRJkiRJkgbIILwkSZIkSZIkSZIkTS1LNjx+qPo3+zV4RMyMiJkTbVP9uyzwBOD+al4J7JOZszOzb3OSJEmSJEnqlEF4SZIkSZIkSZIkSZoColgcWK2heUmAPofOVwc2Gm+DzJwbESsCnwV2ZX6F+j0y87RqrlaElyRJkiRJk8YgvCRJkiRJkiRJkiRNAVk8ANzZ0LwazK/Q3ouG4PqbgO9FxObjbLsocDDwEmCVqnn3zPzp2DhWhJckSZIkSZPJILwkSZIkSZIkSZIkDVGrSuoN7bc2ND8/ItbKzLm9HrchuB7AY4FvRMSjWmw+E7gSuLv6fPfMPN0QvCRJkiRJmioMwkuSJEmSJEmSJEnSEETE0hGxZGZmXRi+IVz+G2BO9bEssGtEzGgVoO/g+DOq4PsOwDxgXWCNum0z837gh8ChwI6G4CVJkiRJ0lRjEF6SJEmSJEmSJEmSBiwi1gJOB94bEUtNECa/FrgXmAUsDhwELF0F6Gd2efzIzHnAmsBmlL8VX5yZf261T2beAXwtM88yBC9JkiRJkqYag/CSJEmSJEmSJEmSNEARsQbwO2BbYA9gt/Gqu2fmhcBJY58C2wBfqfrmdhOGr0L0KwAfB5YEbgOOrebX8u/GmTlnbH9D8JIkSZIkaSoxCC9JkiRJkiRJkiRJAxIRawLnAmtTqrzfAfylVai8IZR+InAJEMA8YP+I+DR0F4aPiEWA5wIbV013AOdX483rZCxJkiRJkqSpwCC8JEmSJEmSJEmSJA1AFYI/h/kh+HOAt2bm31vt0xBKvwj4NTBnrAt4VUQcUm3Xdhi+qj6/JfBaYL1qrDdn5tXjVaaXJEmSJEmaygzCS5IkSZIkSZIkSVKfRcTqwAWUEPyDwPXApzPzkqiMs29k5kPAR4BfUf6uOw9YHnh7RHwRShh+vDGqfxcBtgIOBbatxvkYcEZ1nNrK9JIkSZIkSVOdQXhJkiRJkiRJkiRJ6r9NgNUo1dcXA1YCNoyIR2el1Y6ZmRExMzPvAV4M/AmYCcwFlgTeHBE/jIgNImIp+F/gnerxzGqM5YF9gc8Bz6GE4I8Dvp2ZDxuClyRJkiRJoyz83YYkSZIkSZIkSZIk9V9E7AIcD6xSNd0EfAo4MTNvaWP/mZk5twq0/xR4KiXMDqXo2aXAucBRwHWZeXu135rAWsB7gccC61X7fQv4amZe0JcvUJIkSZIkaRIZhJckSZIkSZIkSZKkPoqIGKu2HhG7UqqwN4bhPwmc1GYYflZmzomIZYBjgZ2A5Zo2mwdcD9xAqUC/JvAoYNGqPylV4Y/PzMua5yhJkiRJkjSKDMJLkiRJkiRJkiRJUp/1OQw/Vhl+SeB1wG7ADg2bzKVUiI/q83nV5w8CdwMHAz/PzFub5yZJkiRJkjSqDMJLkiRJkiRJkiRJ0gD0OQw/IzPnRcRMYFXgZcCuwBOAJSjB9zEPAn8BfgmcnJl/689XJEmSJEmSNHUYhJckSZIkSZIkSZKkAWkKw+9CCcM/quq+GfgE7YfhH1HJPSJWAlYDNgLWB2YDdwG3AL/NzHl1+0mSJEmSJC0MDMJLkiRJkiRJkiRJ0gD1MwxfjTFWHX7cgPvYdr3NXpIkSZIkaWoyCC9JkiRJkiRJkiRJA9bvMLwkSZIkSdJ0N2OyJyBJkiRJkiRJkiRJC7vMzIiI6vHPgYMoAXgogfj3AvtHxCqTM0NJkiRJkqTRYhBekiRJkiRJkiRJkobAMLwkSZIkSVL/GISXJEmSJEmSJEmSpCExDC9JkiRJktQfBuElSZIkSZIkSZIkaYgMw0uSJEmSJPXOILwkSZIkSZIkSZIkDZlheEmSJEmSpN4YhJckSZIkSZIkSZKkSWAYXpIkSZIkqXsG4SVJkiRJkiRJkiSpyVhAvXq8fERsExEb9/s43YbhI2JG0+eBJEmSJEnSNGIQXpIkSZIkSZIkSZIaRERkZlaPnwd8Bjgd+FREbNbv43Uaho+IGZk5LyKWjYhdImKpxjEkSZIkSZKmA4PwkiRJkiRJkiRJklRpCsG/HTicEkxfHtiMEkhfpN/H7SAMv1oVgl8eOAI4FHhnRCwzNm9JkiRJkqTpIPxdiCRJkiRJkiRJkiQtEIL/JPAuIIEAfgicBJyRmbcNaQ67AMdRgvBQgvEfBs4ADgb2AVYG/gXsmJlXD2pekiRJkiRJU41BeEmSJEmSJEmSJElqEBEfAT5YfXoz8I3MfF9Dfwyy+voEYfhbgKuBDYGVqrY9M/PHg5qPJEmSJEnSVGQQXpIkSZIkSZIkSZIqEfFK4PPAMsD1wGcy84iqb2Zmzh3SPMYLwz8ILFY93j0zTx90OF+SJEmSJGmqmTHZE5AkSZIkSZIkSZKkqSAiVgX2BJaqmo5uCMHPaAzBR0QMci6ZmWPHyMyfAwdRqsEn80PwzxsLwQ9yLpIkSZIkSVORFeElSZIkSZIkSZIkCYiI3YAfAQF8LzP3q9pnZOa86nFbldf7VT2+qTL8c4BTgSUoIfifNoTl/cOvJEmSJEmaVmZN9gQkSZIkSZIkSZIkaTJFxAxK+P0F1b93A6dVff8LtI89rrZfB3g2sBGwPjAbOB+4IjN/248QPMyvDJ/FLyJiX+DhzPyVIXhJkiRJkjSdWRFekiRJkiRJkiRJkoCIOBvYDrgL2Dozr2jom5WZcyJiEeAQYAdgm5phZgM/AD4A3NivkHpzJXpD8JIkSZIkabqzIrwkSZIkSZIkSZKkaa0KlS8BrF413UEJtI/1z6xC8ItSKsXvDMysGWousBzwckrF+E9ExO8y86Fe59gceDcAL0mSJEmSpjuD8JIkSZIkSZIkSZKmuxnAotUHwLKUUPxNTZXgf0apBD/ml8CdwBxKdfjVgcWqvh2BJYH3RcRvM3Pe4L8MSZIkSZKk6WPGZE9AkiRJkiRJkiRJkiZTZs7NzNnA36qmFYANqr45ETET+BwlBP8QcBnwwszcJTP3y8wDgC2AdwDnNAy9DfABYGWAiPDvs5IkSZIkSX3iL1okSZIkSZIkSZIkTWtRzABubWh+dUSsXj1eH3hq9fh64O2Z+f2G/RfNzHuAo4G3UyrHj9kROBTAqvCSJEmSJEn9YxBekiRJkiRJkiRJ0rSWxTzgROCeqvmxwGOqxzsDT6weH5KZv4QSoK/2f6jh34uAjwDnjg0P7BERWw3665AkSZIkSZpODMJLkiRJkiRJkiRJUnEt86vCrw58qnq8XPXv5cBPImJGRERmZvMAVdvFwPeAe4F5wKrAJoObtiRJkiRJ0vRjEF6SJEmSJEmSJEmSgMz8O/ClhqYnRMRJwBbV5/dn5h2ZOa8uBN8wzkPAScCNwMyqeUuAiPBvtJIkSZIkSX3gL1kkSZIkSZIkSZIkTXsREdXDk4BTGrqeWX0ALB4RS0TErAnGmpGZtwLnNTQvCpCZ8/o0ZUmSJEmSpGnNILwkSZIkSZIkSZKkhUZDoL3281bGKrxn5o3AqcA/q67VgEdXjx8DPCkz50w0XPXvPQ2PH2hnHpIkSZIkSWqPQXhJkiRJkiRJkiRJC4WIiLFAe0RsCCXg3m4Yfmy7zDwZOAG4taH7oerfN0bEmuONUx1zBeCpQAD3AWc3HkOSJEmSJEm9MQgvSZIkSZIkSZIkaeQ1heC/CBwTEdtD+2H4arsZ1eOPAd8C7q+6F63+3R7YJyJWGmcuM4BtgeWrpnupKsyPzVGSJEmSJEm9mTXZE5AkSZIkSZIkSZKkXjSF4A8H3lx1vSkiyMyzxsLwEwXRM3NeRMzIzHmZeXBEzANeCqwCJPAo4GBgRkR8PzP/3TSXWcBmwBuBdYF5wDsy86p2ji9JkiRJkqT2GISXJEmSJEmSJEmSNNIaQvAfB95CCZ/PAPamBNa7CcPPzMy5mfmOiJhNCcNvVG2yFvBu4GkR8RXgD5l5b0SsBuwCHADsWM3jSODMxnlKkiRJkiSpd+HvWiRJkiRJkiRJkiSNuojYF/gSpXL7WBB+zGnAEZl5VrVtW5XZxyrDV4/3B/YDnte0WQKXAPcD6wGLAitWczipOu5FXX9hkiRJkiRJqmVFeEmSJEmSJEmSJEkjLSI2BPYFVq6aLqKE0lepPt+r2q6byvAzMnNeZp4UERdWY78HmEkJvQewOSUQP7PadR7wGeCkzPxrv75OSZIkSZIkzWdFeEmSJEmSJEmSJEkjaSykHhFvBA6nBNGvA14NXAOcBazRsMtpdFcZ/hHbRcQzgKcB+1PC96tWXddUx/848PvMvLeT40iSJEmSJKl9BuElSZIkSZIkSZIkjayIeBpwNvOrsX8TeFdm3hwR6wLnAKs37HIaXYTh67aNiMWBFYA1gYeAfwCLZOZdht8lSZIkSZIGa9ZkT0CSJEmSJEmSJEmSuhERs4DnMz8Efy3woSoEv2hmXhsRT6eE4ccqw+9Vdg0y86zMzHZD600h+BmZ+QDw3+pjrP3B5m0lSZIkSZLUfwbhJUmSJEmSJEmSJI2kzJwTEV8B1gP2Bl6bmf+KiJmZ+VD173URsS2PDMPvCdBNGL7h2PM6aZckSZIkSVJ/hYUIJEmSJEmSJEmSJI2yiFgf2Bw4MzPvbOqbmZlzI2IdHhmGBzgNOCIzz6q27SgML0mSJEmSpMljEF6SJEmSJEmSJEnSyIuIRTLz4RZ9huElSZIkSZIWMrMmewKSJEmSJEmSJEmS1KtWIfiqb24Vhr8uIrblkWH4vSj5dzLzrMzMxjB8Q4h+KWBeZt4/6K9FGuPCDEmSJEmSWpsx2ROQJEmSJEmSJEmSpEFrDMMD2wLXN3TvCbwlIravts2ImNEQgt8Y+AGwV0QsOey5a/qqC8FHREzGXCRJkiRJmmqsCC9JkiRJkiRJkiRpZPRSIbuNyvA0VIafV32+IfBrYE1gPeDhiDjFKt0atIjYBjgY+A7wr8y8EOrD8ZIkSZIkTUfhz8iSJEmSJEmSJEmSpormoHtELAYEMDczH261XYfHGKv0vg6PDMMD/BD4Umb+JiLWA37b1P+kzPxTN8eV2hURzwTOrD69D1gSOAW4CjgCuC8zZ/fyPJAkSZIkadQZhJckSZIkSZIkSZI0JTSGeiNia+AJwAHAisD9wD2UYPrPgQsyc2617cyxxx0ca7ww/HeAnwKHUSrBAzwMPCszf2f4WIMWES8GXgmsCjymqfufwDXAZ4GLMnN2tY/npSRJkiRpWjEIL0mSJEmSJEmSJGnSNYXg3wEcBGwKzKg2mQPMatjlaOCMzPxO8/4dHLMxDH8usHpD9wPA4tXjucCOVQh+RmbO6+yrkzoXETMoleBfBjwJOJDyPFik2mQe8D3gV5n5jUmZpCRJkiRJk8ggvCRJkiRJkiRJkqRJ1RSC/wzwdiCBoATSZwCLUgLpM6vd5gH3AUdm5rt6OPZYGH4D4AxgrarroYZjGoLX0DXf6SAidgG2BV5HuUsClOfBDOA44DPAVZn50JCnKkmSJEnSpDAIL0mSJEmSJEmSNAWMBYEN2mo6i4j3Ax+tPr0XOBE4CbgReBywCfAW4NFNu34P+AhweadV4avjLp6ZD0TE9sCvKFW3F8MQvKaA5nMvIjainO9PAjZs2PQ8ynPmxMy8a7izlCRJkiRp+AzCS5IkSZIkSZIkTaKI2JxSdfrazLy1od3QraaViHg2cDSlIvvtwMcz8ws1260DvAvYCdi4oesXwMeACzJzTgfHHasIvynwc2DtqssQvKacsXMxIpYHnga8CdilYZPrgB8BH8nM2ydhipIkSZIkDY1BeEmSJEmSJEmSpElSVZ/+OSUI/+fq45fAbzPzxobtopsq19IoiYgPAx8AZgJHZObbqvaZmTm38XFELAs8B3gzsG3DMGcDhwFnjO0zwTHHxtsQOBNYo+oyBK8pq/E1ISJmAkcArwIWqTa5E/gZ8JbGBVaSJEmSJC1sDMJLkiRJkiRJkiRNgohYCvgDsB6wOJBAAPcC9wDHAudl5k8a9jGQq4VSRDwKuABYB7gDeGZmXtoYgm/YNjIzI2IWsAnwKeC5zH8OnQm8B7ionQUkVQj+LGD1qskQvCZd3QKo5ramQPw7gNcB61fd91Eqw7/JyvCSJEmSpIWVQXhJkiRJkiRJkqRJEhGrAssDBwBPAXZu6H6YUt33OErV+FPaqXAtjaKIWJ0ShF8DuBXYLDNva3PfNYAvAXs2NP+UEgC+ri5M37Dv0pTK2U+vmuYAOxmC12RqCrjvCKyQmac091WfN94x4eXAm4AnVN2zgROAD2Tm3UP8EiRJkiRJGgqD8JIkSZIkSZIkSZOgJsy4DLAV8AZKiHHDhs1vAS4C3gz8KzPnDHOu0qBFxOOB84AlKBXZnwn8od0gekSsBBzDI8PwJ2TmgVV/y1B7RLwU+CSwCobgNYVExG7Aj4HrgHdn5ndbbPe/8zUi9gfeAWxZdV9LuWvCNzLz4UHPWZIkSZKkYZox2ROQJEmSJEmSJEmajhqq/Y79veaezDwbeA2wO/A94IaqbxVgV+AXwGsjYp0hT1catP8A1wNBuRPCepk5LyKinZ2r6vFvpdw9YcxLI+JDVf8CofaxsTPzBOBg4GmG4DVVRMQzgW9Vn65DufavXrdt9VyZUT0+Cfg/4Oqqe13gJdW/tPuckiRJkiRpFFgRXpIkSZIkSZIkaYqKiH2BPYADGppvBU4HDs/MiydjXlK/RcRSwK+Braumi4HnZ+Z1HY6zDXA48JSq6R/AqzLznBbbPyL03nynBmkyRMRawLHAjsBs4CzgDZl54wT7NVaGfydwGDCz6j42M185qDlLkiRJkjQZrAgvSZIkSZIkSZI0xUTETIDM/B7wZkq16jErAy8ADq9Cv9JIq8Ln9wJHAw9UzWsDzx57LnTgT8DXmX83hY2Ap48dp3nj5srvhuA1mRruELIp8Pjq8c+BV2TmjRM9H5oqw3+G8pwac1BEHNTnKUuSJEmSNKkMwkuSJEmSJEmSJA1BXQi3lcyc2/B4dmYeTgm/Xw48DCwJPBU4wjC8Rl1D+PxvwO3V4xWBNwLrAUTErDbHegg4lVJRHiCAd0XEeobcNRU1vTYsUv27H7AK5Zr/xsycXVV7n7vAAE2qMPxYYP5twC/GuoBnRcSynbweSZIkSZI0lRmElyRJkiRJkiRJGoDmoOFYCLeh4m/tdq3GycxTgTcBv6NUzV4E2AL4RERs0b+ZS5MjM38PfLmhaXPgmKpvTjvV4avq8rcB7wXurpoXA9Yf6+/rpKU+iYhnAW+PiCWBsTsVHJuZd0TErOa7F4wnM+dWz4WHgK8CV1GyAS8CnuSiEEmSJEnSwsIgvCRJkiRJkiRJUp9VlXvHgu+rR8T+EfGFiPgu8M2IOCAingAlIN8cjm9U9Y+F4c8EPgD8hvlh+CcBb42ItQf8ZUkD0/AcOAr4XvU4gWdExGnwv3DvuGH46vkyE7gG+AMlULwksOMg5i31qjpn9wB+CRwMvAZ4TNV9dbXNnG7GrR7+Fvhz9XgGJWy/nItCJEmSJEkLA4PwkiRJkiRJkiRJfVSF4OdVj98BHAd8C3gr8AJgf+DrwNcj4kCAzJw3XiixKQz/e+Aw4HzgYWApYDdg14iYYbhRU0Ubdzv4398qx54zVTX3E4CLgaCE4feIiBOr/rkRMWu8cTNzbmbeA/yF+X8PnVH1WQlbU0pErAEcUX26IiUIv371+Qo9jh2ZOZuygOr2qnlDYInG1xVJkiRJkkaVQXhJkiRJkiRJkqQ+aQrBHwccAjyrZtNFgS2AwxvC8OMGdBv7M/N84GOUqtcAqwBvB9aaqMK8NEhNwdpZEfHEiHhNdUeEj0fESyJiG/jfApC6c/V04CTgX8wPw784Ir5d7TdnvMrwEbFI9fCual+AxWvmJ026zLye8lpxOeUOBpsCj6Kcu+sATHQnhHHGzup16R/A0ZTFUxsBbxrr73X+kiRJkiRNpvBnW0mSJEmSJEmSpN41heBPA/Zo6P4JcCdwK7AvJbi+CCXo+GfgwMy8rM3jxFh4MSL2Ab7XdJznZ+bc3r4aqXNN5+YLgGcDL6Ms/Gh0A3BKZr61Zr8ZVUB+JvARSnXslSnPlaCE5PfNzPsnmMsiwGnArsADwEsz85TGY0mTrel14wBKIH59yrkOpYr70zPzil7P3Yh4LuU1AuA7mfni7mcuSZIkSdLUYDUQSZIkSZIkSZKkHlUBxbEw4/GUEPwc4CrgdZm5R2a+NDP/H7A98B1gNiXsuDkl+NiWqsJvVI9PAd7Z0P0kYM+xOfX4ZUltawqzfxA4Ang5C4bg5wKrAW+OiO9ExKzqnJ4J86vEV4s5DgG+CdxEea7MA54L/DoinhIRS1fHm1H9O3NsLsDWwLrVMe+nLDixAramlMa7ImTmiZRz/mrKwo95wIrAByJitV7P3cw8nfJ8AnhhRDyxl/EkSZIkSZoKDMJLkiRJkiRJkiT1qCEA/C5KxXeAa4D3ZOZRVV9Uod8rKZWuL6+2mwU8udPjNQTdj6cE6wFWpVTANvCroWkKwX+Wcn6vCswErgT+CJwJXF+1BSXouy9wFEDjXQwawvBzgPcAX6WEg2dU+z0VOAF4d0Q8ZmwRSmbOjYjFKCH49wObUcLEH8zMq10coqlonDD82Pm6I/CqiFip22M0nPt/rv69D1i92/EkSZIkSZoqDMJLkiRJkiRJkiT1QUSsBTwbWLxq+kxVsf1/QeHMnFM9vgr4OKVqPJRw8FhYvq2w7ljwODNvBX4E3Fx1vTIiduvLFyW1oSEE/1Hg4Kr5NuALwNOAbTJzJ8rdDw4D/s78MPwBEbF/zZiNYfiPA58HzmV+OHgjyt0Qfh8RX4iId0fEi4GjKcH551BC8EcDP22cpzTVtAjDX0U5h1ej3F2h6zB8w7l/HGUR1lJUi7ZcICJJkiRJGmWzJnsCkiRJkiRJkiRJC4ntKZV7AU7NzGPgkdWyK2MB4BuBu4FFgYug86BuQ8D+5IjYB9gbeJhSEfunVZB4Xg9fk9SWiHgF8Lbq0/8Cn87MLzb0L5qZd0TEJ4E7gHcBKwKLUO6IcFLzmA1h+LkR8VXgYuAV1QeU586iwFuYH5AfMxc4Fjg2M6/ryxcpdanxWhwRM4F5Y3f2aFjUNHa+z8vME6t8+oeB9YF1gddW+x+Tmbd1MYeZlErwdwL3A5+ojusCEUmSJEnSyLIivCRJkiRJkiRJUn9s0/D4NqgNwdMQTN8QWIES2J0TEQdExBER8cOI+GhEHBgR/ytqVFe1twpSzqw+/TClgvAiwKsjYlVD8BqGiNgS2B9Ysmr62lgIfuz8zMyHqufDPcAxwD+p7oRAqQr/qBbn+LyGBR/nZeargFcDZ1JCvVBC8GPn+jzgIeADwOcy8w99/nKljjVdixdtCL8v8PrQVBn+I8DVlPN6XUoYvqvK8Jk5NzMfptypYZvMvLybr0WSJEmSpKnEivCSJEmSJEmSJEk9qgK8azY03VT9OxOY07xtFX58EqUy/N3A64FdGjbbjVLQaPeI+CZwelUVuy5YP7d6eANwCbABJZC8DXCaVeE1KA3n1g7AMymB9O9k5qEN/WPn59jCjRmZeWdEHAZ8j/IcWRRYolVl6ppz/usR8XNgHWAfYG1gccpz7Tzg15n554Z5LvC8kQap8ZyLiLWAjSnX+ZWBdSLiPModDr4K3F9d38eqwQ+0Mnxmfq/3r1CSJEmSpKkh/J2PJEmSJEmSJElSb6rK7ScBL6iargS2z8wbxqpcVyHgqP7dFfgJJTgMpdrvDEqQt7mQ0fnAZ4AfTRRoj4gdgN9Unx6dma/t8UuTxhURW1DC50sA/wBekpkXRcTMxhB8zX5PBC6oPp0B7JmZP54otN5uqN3wuyZLUwh+O8rdCbYEVqnZ/AzKgpCTMvPuxoVLTY8PYH4YfgZwLfA1oKswvCRJkiRJC4sZkz0BSZIkSZIkSZKkUZeZc4CfUwLtAGsBH4yINbJSbZcRsQuPDMH/B3gTsCelsvZ7gAvHhgaeCrwO2ARKOLJuDlXg/mLgrGq/zSNi+bEgvtRvEbEI8BJKCB7gKuAKeMSdClr5U7Xt2HZLV/uNG15v7m8+vxsXnkz8FUj91RSCfy5wGrAjJQR/L+XafGPDLjsC7wY+GhErjFWDB2h6fCLwEeBqyuvMupTK8K+KiJWG8KVJkiRJkjQlGYSXJEmSJEmSJEnqj0uByylBx8WAfYBvRMS2EbFpROwRER8FfkoJwc8GTgW2zswjM/PHmXkupfr7c4BfMD8s/2zgFVDCkXUHr/L2d1CqbAewNbCugWANSmY+DJwO3FE1fbyqaj3h4ovqvHyA+XdAWLLLOeR4n0vD1BCCH7vrxwrATMqij9dSFjs9gxJ+P6vabV3gQOCLEbFih2H4VwBvjYgVhvDlSZIkSZI05RiElyRJkiRJkiRJ6oPM/APwNeB+Shh+ZWBn4FfAmcApwPuYH24/C3hjZv43ImbB/6pZR2bOBvYCfttwiFdGxOatjt9QKf7k6vi3A3f24UuTxnM28NLq39kwcRh97HwHHmT+82GJqs+/X2qkRcR2wLeqT+8AvgNsm5knZeZvM/PKzPwM5S4it1fbLQc8HziigzD8g8BGwLOAOUP68iRJkiRJmlL8RZIkSZIkSZIkSVKPGkKKXwLeD1zZ0L0Y8GjK32Vuqtr+C7w5M2+KiBmZOafaP8dCj5n5IPBl4F5KyHE5YMVWc2ioFH8b8Gdgx8y8pl9fo1SnOu9+DRyUmX9rc7e51b+3NrfV3fGgnQrz0lQQERsAH6BUgr8P+CHwusy8LSIWadjuGcCewNINuy8FPI/2wvAfpiy6+jewf7t3YpAkSZIkaWEza+JNJEmSJEmSJEmSNJ6G8Pq8zPxiRFwIbA5sR6nO/g9KBfi3UsKPn8vM6yNi1lgIvnm86uEFlLDjkpTK2auMN4+IiGrcbTPzgX59fdJ4MvMh4Dr43zk4bkX4hv6HJhp77HkVESsAywL/mmh8qd/GzsNx+mdm5lzg2cCWVfP5wNsz887qWv9wte0OwGHAFsCiwN+Bq4DdgGWAPart3pKZtze8tjS+zpwcEQ8AF2TmDa1eSyRJkiRJWtgZhJckSZIkSZIkSWrSGOZtJ9gLC4ThzwPOi4ijq3AkEfFM4PnV5jdU+7QMLkbELEpF4TuBlccOM8EcsvrXELwmRTvPlYbQ7qINzYtVff8LHDeE4FcFjqSc/x+PiD8ahtcwRMQawE2ZOWe8MHxmzo2IpYE3URYsXQu8NDPvaAypV68DYyH4xSmLnbYFnkK568e2lCrxe1XbjxeG/0G1zUxD8JIkSZKk6WrGZE9AkiRJkiRJkiRpKqlChv8L2WZmRkRbf1NpDkmOheArT6EEeecAt4wda5yx5gBrVh8A/wTOa2ce0hQ39vx6sKZtbAFKYwj+M5SA8J6UEPGSw5qopq+I2A74FfD+Ksw+b4LXgn2AzSjn9Qcz88amEPzWwAeZH4K/ENgpM+dm5vnA8ZS7JCTlHN8LOCIiVmw89gSvM5IkSZIkTSsG4SVJkiRJkiRJkipN1ahPjYi3wfxq712OGdXDzYGg3LF314hYpFV14Wq/ZYEXAzOrpn8Bd3UzB2kqaQjuNt654OGqL5tC8J8FdgVWpCwi+URm3jvUCWvaiYgnAGcDmwIvBA5uIwz/e+AEyh0/LoX5d/2IiPWBNwBbU0LwfwR2zsz7ImKxatuvA9+jvE5ACcPvSU0YXpIkSZIkFf6gLEmSJEmSJEmSxAIh+B9TqvF+NCJeA92H4Ruqy/+toXl7YP3x5gI8GdiDEpy/BXh7Zt7TEKyXRlJEjC3umNXQvEjVN6spBL8LJQQ/F9gxM880DKwheDJl8VFSqry/Cnj72AKmunMwM68Avgy8KjMvgUec688EngssBVwG7JuZd0XEzMx8sGG7H1DO9TFLURaCHB8RK4y3eEqSJEmSpOnIXxJJkiRJkiRJkqRpLyKiIQT/Q2A3SvXppYAv9BqGr1xf/ZvAVsDnI2LtiJhVHXfs3+WAnSgh4E2A2cBhwGXVPLN5YGnE1C3mWBRKBe0WIfgdMvOcxgUr0qBk5lFU192qaUPglZTK8AuE4ccWKGXmHzLzzKptRmbOjYiVgQ8CKwH/BT6UmddW1/O51X5j4fcLgXuAu4GfUV6HVgA2wr/tS5IkSZK0gFkTbyJJkiRJkiRJkrRwGwuXR8SHgecB85gfOlyCEoYnM48aC0B2EcY9AXgBsDslDL8r8E3guxHxE2BORKwO7E+pHLwxcBfwDeCHDUFJaaRl5pzq4YMNzXMAImI14DMYgtckGTvPMvOoKuz+BuBxzA/DExGfz8yHG7atW6A01rYHsHb1+DLgfHjE3ULGjjsLWAyYSXn9+QHl9Wdj4DmZeZvPAUmSJEmSHskgvCRJkiRJkiRJEhARz6KE4KGEEK+kVPBdgT6E4TMzI+JYYHVKRfgEngE8Hfg4cB+wSnXsGZRK8N8Avp6Z1/b+FUpTTmMQ+NaIWJxSCf45GILXkDWE2uc1PD6yKvY+YRi+ebyGoPvjmb+w6meZeWNEzGxe3FTdDWEVYGngXuDnwN+Af2bmLRExq2ERiSRJkiRJwiC8JEmSJEmSJEmaxiIiqoD6YpRq7VtVXWcAXwZ2A55Pn8LwwOnVOK+nBOChVJ9fGliuYbtbgU8BpxiC1ygZe05NsM1YoHeRqukB4InAsyjPuWX/P3t3HSZXeb5x/PvsbgQCBHf3QrHi7l6s0B9O0UKx4hR3d2tx1+JWXIoWLcXdJXiMhCS7+/z+eN6TfTOZ9dnZ3eT+XFeunTk2c3KdM8fu93lRCF6qxMxmcPdvSwLwFQnDJzXZ61kByvXwYWYDga3T20+Ar9z9yzSuRiF4ERERERERkfHVtD6JiIiIiIiIiIiIiIjIhCkL7G4P/Dm9/hl42N3vBI4F7kzDoCkM/+c0f6OZtel5SwoIjwJuBfYHriACwH2A2jTZJ8DTwDrA+QrBS2+Sh+DNbFoz69PMpEVgeHT6259oiLI6CsFLFZnZSsC/zGwvGPc3veT1xcDfgTfTrEUY/gAz69PKsWBY+uvA0ma2ZPb5tdnfpYG106ivgD6WEvjaB0RERERERETKU0V4ERERERERERERERGZqJnZ/ET19cJ/gAsA3P1LMzsxDe9UZfhUed7cfQzwMvCymV0FTJ+WWw88A/zg7sOKAKRIb1ASgl8b2Be40swecPdf82mzfaUIwjswA9EgRCF4qYoUSH8qvd3JzEa5++VdUBn+LmBLYB6iJ5Ad0/HjFXdvMLOpgOWAk4AFgB+Bw9x9tI4DIiIiIiIiIi1TEF5ERERERERERERERCZq7v6+mV0BHAS8D+zs7iNThd5Gd/+0kmF4gCxY+Vy56fJQsUhPVxKCXx04BlgB2BBYE3iiZPpiXylCviOAAUQIfg2F4KVK1iFC59MAvwP2TtvyZRUOw78PPAfMTvQAsiewlJm9BHwGrJaWNQcwBDgLeFfHAREREREREZHWKQgvIiIiIiIiIiIiIiITrSzceIiZDQM+c/dv0/CGNI1VMgwP41TEbm68wo9ScaXBWjOrLbbzSiwzheBPAhZPo98lAsCliu/wArAFsT+NBtZ296cVgpcqOZvYFncF5gYWBfZKm3RFKsOn/WOomR0GzElUhK8BlgGWLfk+Q4GrgVtKe1EQERERERERkfJM91FFRERERERERERERGRiloeBzWyAu/9SZhpzdzezOYEjaQrDA4wE9nf3S9O0CvFKj1MSWN/E3e9Orzschm8hBN8feBFYzd1/be4zzGxGYGfgr8CW7v6k9h+phiyo3o/oDWQnIgwP8Dpwobtfnk9b5vUeNIXhAT4ErgBKw/DF31mA84gQ/KwlX+lHIph/u7u/31XrLSIiIiIiIjKhURBeRERERERERERERESkDToThs/mrXX3hkpU4hZpq5LA+nnAPkRY96A0rFPbYysh+Dp3r29h3hmAOnf/SiF4qaZuCsNPRQTh/wDMDDQCnwGXAu+7++gqrLqIiIiIiIjIBENBeBERERERERERERERkTbqSBg+m2c1YFvgQHcfqtCvVEMzIXiIAO457n5wGtehMLyZrQMcQ4TgJ6EdIXiR7taGMPxF7n5ZPm2Z120Nw4/dF9N84+wfpeNFREREREREpHV13f0FREREREREREREREREupqZ1QDklXk7spwUaDd3/9TMTkyDizD8JMA5Zoa7X5o+q08KQq4JPAg4MNDMdnb34RVYNZEWZSH4v9EUgh9DPCc8MG2vB3ekpwIzmwLYBlg+DXoBWF0heOktsmPCKDM7Mw0uwvCLAnulfeSy/PhR8vpiM4OmMPy8wC4AZjZOGD4NMw/1Jd9FIXgRERERERGRdqrp7i8gIiIiIiIiIiIiIiJSaZZSiYUiuFi8zqcpnbY1eRgeOBG4E/g5jS7C8Lunacekitn3A7VE+HgxoG8HV02k3cxsXWAHoiEGQD1QbPcHmtkZAEUYvh2LHg5cCnwNvIdC8NIL5WF44EzgKuDjNLoIw++WT1vm9cXA34E303xFGP6A1CAqn1aBdxEREREREZEKMV1ni4iIiIiIiIiIiIjIhKSk8u6cwKrA4sAMwE/AV8AdwA/u/mMnPsdSKH5O4EiaKsMDjAR2JsKUzwB90vCvgBXd/fPOVKYXaSszmx44gQjl1gCvAG8AawGzZpOe5e4Hp3naXBk+Bed/C7zj7qMVgpfeqvhNNrN+wEE0VYYHeB24yN0vy6ct83oPmirDA3wIXAGMVxleRERERERERDpPQXgREREREREREREREZlglAQSTwRWB5YvM+lQ4DngOne/KZvf2lOtt5Uw/CiiAnxRYftLYKUUgm9z0FikI7JtcxvgamJb/BY4ArgX2AfYkQqE4bPP1HYtvVobwvAXuvvl+bRlXpcLw18GnOvuY6q3NiIiIiIiIiITPgXhRURERERERERERERkglASRLwR2CobPYaoyu6Alcz6D+Aqd3+5dDlt/NwicDw3ETLeGJgmfVZ9+lyF4KXqzGwxosHHJGnQv4Bd3X2QmU0BHALsQAXD8CK9XReF4QcDR7r736u3JiIiIiIiIiITPgXhRURERERERERERESk18sruZvZdcC2QCMRer8M+BhoAKYjgr8DgMmzRTwJ3AhcmQKQ7Q3D17p7g5lNAtwOrEuE7/sCXwErKgQv1WZmmxLbdX/gB2B5d//IzPq4+xgzmxw4FIXhZSLVXC8gbQjDX+Tul+XTlnm9B/BnYHHge2AJd/+6q9dJREREREREZGJS191fQEREREREREREREREpLOyEPzfgC2IauwfAie6+/X5tGZ2FbA+sDNRrdeB1YBZgOnM7LQOhOGLIOViwFpEAF8heOlW7n6XmR0MHAvsm0LwtSkEX+Puw8zstDR5HoY/0Mxw94NTAw9tuzJBKP1dLw3BF+OzY8AoMzszjS7C8IsCe6V95LL8eFHy+mIzmxT4CdjF3b/WviQiIiIiIiJSWaoILyIiIiIiIiIiIiIiEwQzGwjcTFRjhwgeXpXG1QENWWC+DpgRuA5YNVvM18D1wOFtDcMXFYXNbC3gfqBPGqUQvHSbksrUywCfu/ugctOoMrxMLMxsADAJsAEwPfF7/RHwnbs/mU1Xkx8DOlkZfjJ3H25mde5eX501FREREREREZk4KAgvIiIiIiIiIiIiIiITBDNbnwiiA9zv7hul4VZa9bdkvquALYH+adD3wMXAce0Iw68N3J0tQyF46XZt3HY7FYYvCfy2uK+JVFu+TZrZ0sCORI8gc5aZ/F7gduAedx9cbO+dCMPnn619Q0RERERERKQL1HT3FxAREREREREREREREamQmbPXYyzUNBc+TFXhcfedgMuAIWnUdMD2wF9TeLG1IPGCwAM0heC/RCF46QFa23aLadJ+Mgw4DbiW2IYLB5rZGWnaBjOrLUak7bvRzGY2s7lTzwhW6fUQ6YiSIPp6RMh9R8YPwRe/0RsBpwJXm9nMxfae7SOjgDOBq4CP0zyLAnuZ2W7QtD+l12OPPQrBi4iIiIiIiHQNBeFFRERERERERERERGRCMWX2eqiHZoPA7l5fhHrd/a/AFcDwNHpOIgz/+zZ8bg1wTXr9PQrBSy/TgTB8XVYtez7gaSI8vKACv9JTZCH4oreQWYFJiB47HiIaQD0LvJPNNiOwMfC4mc3ezjD8zulzW22AIiIiIiIiIiKVoSC8iIiIiIiIiIiIiIhMKEZnr5czszlbmyGvcO3uBwHXA0WQd3FgezObEaCo8ltmGW8D5wOnA0u7+xcKwUtv084wfH3ad+YFHgPmAlYCzjGz/qXLFukuZrYCsS0bMBi4B1gO2MTddwfWA1YBTgD+l806P/BsO8LwvwWOM7NtqrFeIiIiIiIiIhJMRRlERERERERERERERGRCYGZLE1V+pwBGAZu6+yMpuNhihd48uG5mdwKbZKMPd/dT2/D5dUWVeYXgpSuYmeUV181sNmAyYDrgM2CUuw/Kxrd7Wyz2FzObHDgU2IGopF04x90PNLNZgeeBWdJwB1Zx92c7sm4ilWZm0xONlDYD+gC3AHu6+8+pAVRjyf60NrAjsHW2mNeB9dx9ULH/ZftIP+AgoveQ+YFBwO/yfVBEREREREREupaC8CIiIiIiIiIiIiIiMkEwszmIYO6MadCbwFru/l1pgLiZ+WtT5d++wNPA0mnUD8DG7v6frvruIq3Jt2Ez2xhYEdiZ6AF6CmI7HUFUqf6fu9/bic9qLQx/JbBONqweWNPdn25LwxORajCz3wIPAjMTlduXcfefSrfR/L2ZLQ78BdgtW9SVwH7uPrx0nhSGPwZYFdjG3T9TYygRERERERGR6inbhaeIiIiIiIiIiIiIiEhv4+6fAWcSlakdmBfYz8wmby0En+ZvSAHG0cDhRIVtiJDxUhDhxy758iItKAnBHwVcAuwPTANMBRgwAzAXcBxwjZldamZzmFldsYy2fl4K+Na4+zDgNOBa4Mtskp1pCsE3oBC89EzbEiF4gLtSCL6udBtN27ul168BFwO3Z5OsAiwDTceAbB8ZBRwLrJ9C8HUKwYuIiIiIiIhUj27WioiIiIiIiIiIiIjIhOQ54F0iGNwf2AzYwMz6tGXmLMD4P+CV9LovsIuZ9VfIV6qtJAR/OhF0nwGoAz4B3gG+AEYWswADgV2B64BtzWygu3t7GnKUhOHPAv4ODEqjR6e/DcAaCsFLDzVD9vqr9LdsSD1vLOXu/wVuAr6hqVHV1mlcYzZdY9o/R7v70PS6vsLrICIiIiIiIiItUBBeRERERERERERERER6hbZUtHb3/wA3Z4MWAPYBlmtnCPgHoiqwA43A1MCAdn1hkQrIQvD7Awelwd8SldqXAhYBlgSWAC4DXifC8AArAUcDR5rZtEW4vR2f3Whmfd39Z+BBYh+oJxqHKAQvPVbazifNBs0A4wbem5mvqAx/B1EV3ojjwBqph4VxjkMlAfpWex4RERERERERkcpSEF5ERERERERERERERHqF0pBhaaC3eO/uJxCVsAsrAMcAi7UlTJ95B/icCEHOBszSga8t0mlmtiiwHU0NM85098Pc/ecUQB/m7u8D+wO7MG5jkLmAHYBTzWyG9oThzazW3Ueb2QLA3cDkRCV6heClR0vb5JDiLTA7jH/cKDNf3nPCtcDg9HpWYCqF3UVERKQnMrPa9FeNt0VEZKKjILyIiIiIiIiIiIiIiPQopWF1M1vIzFYysz+Z2RpmtjiMDTrmFXwbiwAAcBRRwRpSNV+igvbS2TSt+Rr4OXuvAKR0l8WARYnq1Le4+1kwTuOPMWZm7j7C3V9x922AM4HRxHY7HfBH4Bwzmz7tKy02Ckkh+AYzmxd4lGgMAgrBS5Xl22oeZG9uG86Gv1MMArY0s+Xasr1m03wIjEjzl1aYFxEREekRsvP2xYF/m9kM3f2dREREqklBeBERERERERERERER6TFSsNbT683M7ELgf8ATwFVEIPcFM7vIzJYsps/C8A1pUV8AxwH/JkKMAGsRYfg1zWyS9BkthYF/A8wN1AJvA+9WcFVF2iQ13PgDsR1C7AuYWV0e6s32myIcfwhwNPAjEYafHFgPONbMps73m3JSmGYe4AWaekNQCF6qIt8207bax8z6AzOZWT8zG5BXZy+dPr28j9j+IY4Dh5jZ7G38/DqgnqaK8LXAJB1dHxEREZGuks7bFwUeBxYAfurmryQiIlJVCsKLiIiIiIiIiIiIiEiPkAdrzex84AxgTyKA2EiEEscAfYC/AKcDm6cKeONUa0/vXwFOAZ4tBgOrpmG7ZGHgohv5vNJwP2D19LkAXwF1FV9pkdYZUdG98E36WzaEnveM4O6nAycQvRs4MCWwKbCvmU1Wut+M86GxjI2AqdKg0SgEL10sa9RUNOxYysy2B+4HngZeTP8eN7MDzWzDkukt/a0BPgGuAEalxa8IbGtm07T2Pdy9HpiVpp4Q3gRercQ6ioiIiFSKmdWY2ZTAQ8S5vgNLdOd3EhERqTbdsBURERERERERERERkW5XEoL/J7BFNvpnIoQ7JRH+7ZOGr0486/gSeN7MLA/2unu9mT1BhCCPBNZMo5YAZgBWN7MD3f3TNH3x+ZMBSwO7p8/8Efibu48s/QyRrpa24+FEqMWA5YD7Wwqip6qQNe7e6O4XpFDw0USofUZi/3rJzP6Vph9vm07LuAOYFtgb2FQheOlK+e+rmS0EbAwcThR3mzSbdKb0dwmgzswuA64FXkj7S348+RewGTAf0aBkd2CYmd3s7j+08F0mJRqCFM/TvwZ+rcyaioiIiFRGOucZbGYfEuc6k9HUm5OIiMhEQRXhRURERERERERERESkW6XwY2kIvgH4BTgeWB/4LfA7IpD7QprVgZWBHaHZMO8YoorwgcBd2aiZiXDkS2Z2jpn9n5ktbWarAscCF6bPHAKcA7yvELx0o++JELwDC5lZ36LydXNSZfia9Po84Kxs9ELAPkDf1CtC2WeG7v45cDGwqLs/qRC8dJW0bRUh+N2Bs4GTiTDXpM3M1pD+7kb8Zh9hZv3Ttl8H4O5PpeUUZgcOInpFmCd9XtErSF362xdYFtgBmAT4ATisaAxVoVUWERER6bTs3ORHIgfYCMxRMk5ERGSCZrpfKyIiPZkeLoqIiIiIiIiITDzM7AwisN4AvAec4O63lJluLuA6YIVs8Hru/nAry68lwsC7A32JYDE0VdoeTIQuDahN768BLnD3jzu6XiIdVdwfNbN9gXOzURu6+wNtXEZeHfsCYK9s9CnufkTFvrBIB5Rso+cSjaFmTqO/Bz4CHiJ6/5iWqHa6PfF7PQlNv+E/AncC+7n7CDPr6+6j03L3Ac7LPnYw8D7R8OlVd/8uTTcbsDawH02NoU5J847W8woRERHpSYrzKDM7HDgxDb7R3bdT1kJERCYWCsKLiEiPZWa1qfvd+YCp3f2FVmcSEREREREREZFeycy2IKr2zguMAHZ39xvSuFp3byiZ/vfApUQosg7Yw90vbWH5llUb3gFYF9iS5nvP/Z4IP97t7p90Zt1EOsvM5gReBqZOg14FtnX399o4f3GvtY4ICm9IhIeL5bxf+W8t0rqSEPxNxO9y4QrgduCh0hCXmc1BbMe7AEsQ1U8t/b0X2K5MGH5PojFU3hAKIhD/BTAGWJQI109FhOCvAi5y948qud4iIiIilWRmWwM3pLf3uvsm3fl9REREqqm5m7siIiLdKnswsxjR1fVM3f2dRERERERERESksoqu2s1sALAREYKHqARfhOCtNASfvAL8QITgATY0s5pU9X08qap2bXp9LbAHUfX3EuBZ4DPgJ+BJIny5ChF+VAheulUKCn8KXAyMSoPnBXYys+nasox0r9XcvR64HPiGCAIvCSxe8S8t0gYlIfi7iRB8IzAU2N/dd3P3B9Pvd13JfJ8BlxHHjn8Rz72LyvAbA+ebWX93H21mfQDc/e/AzsB/iAZXpM+bB1gTWI+oRD8VcTw4B/iHQvAiIiLSk6Xr6kHZoAXMbHozUy5QREQmCqoILyIiPZaZLQo8Q3Rvupi7v9HNX0lERERERERERLpAqtB+dXp7D1Gh+pc8JFkyvaVg5OHACUTw8Tl3X6kNn1XMW/wtCjIMBCZx90Fm1sfdxzT3+SLdwcxWBW4Bpk+DvgSOBG5z9xHNzjj+ciYDHgaWS4NudPfttL1LNZWE4O8lqrvXA58SjaGuS+PG9ubRyvKuB7ahqTL8YODvwPHp93xszyJmtjiwMnAA0cvC5DSF6AelfwcCr7r7kAqtsoiIdFB23j4bMAfwe6L3jk+BD9z9vu78fiJdrfR8KDXwbiy5rp0GeA2YhTgPWiI1HBQREZng1bU+iYiISHWllsk1wOFECH4QMLxbv5SIiIiIiIiIiHQJM5sL+Gs26DngV4DmQrlZCOAHIrjowBxmNinwa0th3mLebBnF+yFmVtyDqm/p80UqpbRhRj6sdFp3/7eZHU1UhgeYFTgC+MnMHnb30W34vFp3H25mFwJLEc8K51EIXqqpmRD8GOBtIgR/R+l0LSyrzt3rU2OORmA7Igw/FbAp8BTwCNBY7Fvu/hrwmpndACwMLEH0tlBLFOf52N31TEJEpAcojgVmtixwFjAfMF3JNNcBtwH3taXxlEhvkjXcnhGYEvgQyl7X1tLUe9QkwEzAZ21tVCgiItKbKQgvIiJVY2b9iJbJY1qaLt3YbkxdYkOE4ct1fy0iIiIiIiIiIr3fcGBYev0+cGFRtbc52cP8T4iH/X2Ie0iTkEL0bZWHLIvPVVBAukqZIEofYDSx7Y6Apu2vJBxf4+6N7n6pmc0LHJTmnw84HRhlZk+5+yhakO1bPxPPCeuLr9b5tRNpXSVD8ADuXl8ExNx9BzObKi3TiZD71sAjpb/rafk/AU+nf81+TxER6R7pXKjRzFYC7id68Chne6JR06JmdrLO5WVCkc5HGsxsUeAFIjPxNTDczJ5Pr98grqMbiQaAcwH9gN8C/ym9nkhFCV37iYiITEgUhBcRkaows9mB84DrzOy+lqoTZTeYi5sZQ4BfqvA1RURERERERESkytz9ezPbE7gaeBUYWYQaW5ineGj/YzEIGAn8ouCi9FQlwfaFiMDW5mY2JTCJmX1CNO64BfjS3X/KKljn2/UFwDTATun9gsD5wGFm9mhLlayze6+DiRB8HTCytcYnIpWSheDvJgLr9cAHwNHufm8aZ+35LU8BsTp3rwd2BB4gejwA2NHMHnT3f5b7Hq19TxER6T6p15zFgVtpem48CHicaEQ4L7BIGv5b4vxoCjM7TL/jMiFIwfVFgBeBvkSj73mIRqyLZ5OOAoYS+0DRwHVRM/sDcY09zN1/LJZZzJT1TtXi9beIiEhPpyC8iIh0OTOblaioMhswNVGd6JEWwvA1ZlYHTJ/eD0n/RERERERERESklzKz+YBR7v55mUrXb5vZDsAUaXhbH8KPAWrS65rsdWvfRd3DS1WVbPP7AVsBSzNuJfZl099tgXfM7Dh3/0+2jKIq/Bdmdg4wAPi/NHoB4AzgXDO7092/Lv1cGBum6QtsTNNzwpfz5Vd0xUXKMLP7gfWJMFct8D/g32lch36fU2V4Ixp5/AM4mwhJ1gCLAf/Ub7+ISO9iZpMDBwAzECHfJ4B93P3LNL4vcCzRsGoRYCZgZ6DWzA7ReY30dtl5+1tEw+/FiUbgTpzjOHE90Y/IYdQQ51f9gb2BvYBvgUYzex94L71/BvgJ+BT4SSF4ERHp7UzX+iIi0tXM7CCie94xRFe/zwOnAA+3Uhn+XWB+4CNg4ZamFRERERERERGRnsvMViWCK3u5+z/KjO9QONHM5gZeIipEjgHmBr4vDb1kle6mA35OgUmFfqUqSkLwpwEH0xRaGUYEVvIeMgujgGOAe939nTT/2GqNZrY0sB+wdTbPIOBe4GJ3/2+27fd199FmVkNUor+QCN43ACu4+0tdsOoiZZnZ7sQ2WJsGDSWeIVzv7p9XYPmzAs8SxXkAPgaWdvefO7tsERHpetn5yxzAo0QF7AeBXdz9m1RQzVOPIDXANsCfgZXSIn4ErgEUhpder+RaYg5gSqJHqKIXhCWBgcC0RBgeYDRRQb645oC43igajjcQ52FfAx+mcfcCF7r7mK5dIxERkcpTRXgREely7n6mmU0GHJEGLQ8cBmBmZcPwZtaHaKkM8Augh5MiIiIiIiIiIr2QmU1NBBwBFkrDxul6vRMVehtpetbxK/BruftHKUizKHAg8IaZXeDuozr4mSLtkgVXTiBC8BDb603ArcCXRGhlLeCPwHxEMKUfcBywtJld5u4Pp8BXrbs3uPtLZnY8MBzYLS13RuBPwCZmdgjwKvBmCsH3A1YD9qcpBH98Wo4qZUvVuPslZvYLcG0aNAVwKJH1utrdv+rostNzhC/N7GLgJKCeKNDTt7PfW0REulb2LHgAcX6zKhGC/xrYI4Xga9y9vmT6681sJBH6XZkIB/8pTaMwvPR2NWbWmM7VP3f3z4jedG4BMLNJiGuHGYENgHOJ855fiUbjSxFh+P7ZMmuJa4FpgZnTsBMUghcRkd5KQXgREelS2UOZY82slgjA19BCGD5NNy0wPXHDYpBuUIiIiIiIiIiI9FpDiG7XATY0s+Pc/YcKLbuGCDjWENWzy4bbzWwR4EwiGLM5EQq4sELfQaRVZrYTcEB6+zlwnrufUzLZ02b2byK4tTXxHK8fsCkws5kNcPc7S8Lw75nZEUSY/ri0nL7EvdWrga/M7C2i8vzcxH3X2YhGJNcAt0GnGqOIdIi7X29mRmyHED0iHALQmTB89izhu/TXiEDkDMC3Hf/GIiLSlYpQu5mtAmxjZmcQz4kBHnT3z8s0pm0sGvO5++3puAIKw8sEpFwD8pICgr+m4R+a2X+JavA1wBfALkTPaQOAFYjzoSWIhrf9gXmJa+h13P1pFSYUEZHeSkF4ERHpUiUPZY5K9x+aDcOnmxUNabqiq67igk5ViUREREREREREepH0IL3BzO4hKlHPRATRL6nQQ/bRwAjiecdkwGRmNiq/h5SF4JchQsWDgDs6+bkibWZm0wIb0lSR+soiBF/cOy32B3d/3Mx+Iu6fbpX+1hIV3E8ws77ufkvJPD+kcR8DfwV+Q4RdGoh9bhaa7rVChOAvBq5193eq8F8gUpa7X5eeBVQsDJ89R/iwGET87n/R+W8sIiJdJQvBP5kGDSPO7wHeT9M0lJnPszD8bU1ZeIXhpXfJGoMYYMX2Wi4jkW/LJePeBX4mAu8zAaPcvTgHejv7rFpgUuC3wHfu/pFC8CIi0pvVdPcXEBGRCV8Rhk+vjwJOIR62QFMYfp30EKe4UKsjuiyFpkpetVX6yiIiIiIiIiIiUgHZg/Q3iBB6P2CVknGd0ZD+OfHMo4boOt5gnBD88sAURCXu5dz96+J+lUgVLEJUda8FnnX346GpoQg0VTRNr18DriW2VyOqONYACwIHm9kG+TxmVpPe3wDsBOxFhGCG0PQs0IhA2TfAHsCp7v5i+h5jE2Mi1ebu15FCikkRht/RzGbpwCKLbX7e7P0ImqoKi4hID2RmA2jq3Qbgz8Ba6fVMaZqyGaciDJ9e3wZcADydRhdh+NObm1+kO2XbbnF93B+Y3sxqzax/SSPvZrfhtJzRxLWDE9fec6Rxtdk1clHEcJi7P59C8KYQvIiI9GaqCC8iIlXRxsrwbmaPuvsoYGbihjek7krdvT4L1DdA04Vael0To1Q1XkRERERERESkh3kJeABYH9jazG5390pUZe9DVL6uAYYDv2T3ivIQ/GTAl8Aq7v55fk9JpKtk1RtXoymc+2kaV+fu9fn0JRVNHzGzW4C/Edt5Y1rGYsDeZva9u7+Ulp/P9xbwlpndCcxHVJLvCwwEngE+dPfPSz+3S/4DRNqokpXhs9/2FdLfRuBmdx9cmW8rIiJdwd1/MbMDgNOBlYhjwYA0ero0TWNzPYi3sTJ8g5kdpsCv9BRZFfjpifP2bYneneYkGsUOM7MrgLfc/T+tbbvuPsTMXiGyFn2AxYFn8mvf5npWqNAqiYiIdAsF4UVEpGraEIY/nKhMdB9N3fRCVGsp1BGVk0aYWV9gUjMbSVT+Ggg0mtkI4uHO7MDn7j6si1dNRERERERERERa4O6jzOxNIgjfAKxsZvcAjZ0MojQSvQr2Tf/6Ab80E4JfSSF4qaYsUDJPNnhI+lu2CnsKcRXb6DNEb5l9gK+BWYh7o2sCr5jZa0B9CnyNUyky3RN9Nf0bR3MBMpHuVMkwvJktAaya3tYDr1fwq4q0iX5rRdon7TP/NbMDgfOIBk190uitzexWd7+7pf2qlTD81MDBRMXso7puTUTapjjnN7MFgAuJ3p/y3nAWTn+XAH40s9Pd/fzmlpftG18T+QsHpq/8NxcREel51O2PiIhUVRGGT6+PAk4hHlhCPJg8wszWJi7KxqThu5jZm2b2DvA+8IGZfQB8CHyU/n2c/n1EU7e/LwIzVmXFRERERERERESkLGtKoPwDeI8I8u4O/K6o6tiJxY8miigYEXgfYWaLM34IfkWF4KUbDclezwvg7mOamTav0vhz+jsUOD973wc4AFimCHyVzD9e45J8GgUzpady9+uIir2FIgy/o5nNUn6uJtl2vhowd3p9i7vfV8nvKdISMxsA+q0Vaa8sxP468FfgOZqeFTuwq5n9rq3LSa9vAy4AniCuF4YD13fF9xdpj9RwtcHMFgYeIRq6zkJs818BrxHb6xCisffMwLlmdnaqHl9umbXp5dvFIGA5M6sxM+UDRURkgqYDnYiIVF0rYfhlicrwWxAPdBqASYguwBYgLvKmJ25iz0TcCJ8xDZ+E6CJvDqJS0vru/kF11kpERERERERERMrJgmA/AcW9mv7AWWY2SyeDYnVpWQZ8StxbOpXxQ/BfKAQv3eiH9LeRCKNs1NLEWYhlljRPP+BmYDOi8QfEvdCTzWyqtuxDCmRKb9HRMHxRAdjMVgHOSINfBi5J42ubm1ekUtL2d4uZXW5m65nZQiXjO9P4T2SC10wYfjSRbVoD+Evq+alNy0mvbwOuBB4AVnD397psBUTaIG3jjWY2P3AfMCswkij293uiV5ulgWWAA4H/ZLPvB5xmZnOVLje71v1vNnjqNK4zvbCJiIj0eArCi4hIt2gmDF9cnK1KPNRpIB5i/khc/I0hqh/9TATdhwPfES2hhwPfAN+m8eu5+1Nq3SwiIiIiIiIi0jO4+1DgeKKCO8B8wBZm1r8TizUiDF8DzEWEH/MQ/EoKwUt3yQKPzxP3NR2YAtjEzGZvZp6abFv9ExF4HwqYuz9NbOPF+DnTP4UrZYKSwvA7EPsMNIXhdzKzWZuZx81sKeBy4pjwExEuezWN1zFAulSq6vsksAGwM3AT8IKZXWxm+5hZX6IAFHp2JRO74rwlVaou7dkmD8PvS4ThRxHnRFsDe3cgDH8DsJW7v1nhVRFpt7RtTk/0VlAU+Hsc2NTdH3H3j929wd3fdfcrgfWAT2hqEPsnYP5yy07b/PD0thGYjgjai4iITNB0gSUiIl0mv3FR7kFMC5XhHZgU+Bo4ClidqAb/W2BRYJH0/jfAwun1/MBCadg87v7v9NBIrZtFRERERERERHqAdH/oLeAaoJ7o9e9PwIJpfEeeWfwKDCMKKNSmZU1OUyX4zxWCl+6SVWF/Enif2EYhApJ7mdmcxbRmVmdmdcX9TDM7CViXCMb8E/gqTfowUTgEYDZgq5LPEpkguPv1xDEiD8MfTFSGHxvoKo4dKRR5NqlxCPAScJG7/6qGIlIlkwMnEA0wvgcGEr0Y7wacBzwBnG5mc+nZlUzsivMWd28sPYfJevgwd3+DqAz/PHHePymwLR0Lww+r9HqItFd2zbs86ToY+Aw40N3fzxqJ1GXT/4Vo/N03TX+Yuz9Ubvlpf3oPeIfIXcxGhO1FREQmaKb7YiIiUmnFDYq2TpM/jDSz44EjismAp4DTgYf0wFJEREREREREpPczs98TYfip0qBHgA3dvb69oXUzmxp4k+jy3YhKq0UleIXgpdsV26CZLQvcBsySjb4WuNfdb8+m70OEeTcHZiR6w9zO3e/PprkA2IsIt9zm7lt1/ZqIdA8z2444ZhRh9mFEzwjXuPsXaZpFiecIKxLB45eBjd19kArmSLWZ2WREY78/A78D1iIadBTb8A/ENvxvd38xzdPqczWR3iwLt09OnLdvSTQWmYloKPs68Iy7j0zTF+dPxXyLEA1KlgP6Ez1M3QBcmMLyIr2Kmd0JbEI06F7f3R/Ptvex5y5mdjSwK01V3Q9x9zPTuLLnOClM/ziwKtGodil3f6vr10pERKT7KAgvIiIVVVxwmdkMRAX3jYgbGt8RLY9vA4alafKLuNIw/OHETUEDXgBOJsLwo3VDUERERERERESkdzOzY4BjskG3ufv/pXFtDq+b2VTAhzSF6r9CleClBzKzfsB2wInADNmoEUTl6s+BKYB5iV4wC/u6+4VpGX3cfYyZbQnclMZ/Cizi7r907RqIdJ9mwvBnAucQwbDziMqqkwGfAKu4+1c6Dkg1Zc/Hir91qZHfXsCawMZAUQn4V6KnkH+4+yXd9Z1FqiHbJxYH9gNWBuYqM+m/gEfd/dyS+RSGl16hLecdKaQ+E/AcMDvREGQdYFAbQvAHu/tZaVwNUQC+tEeF4thzG/AH4pzoGeUrRERkQqcgvIiIVEzWOn9B4BJgAaLqRe5R4F7gUncfVRKALw3DH0bcFDTgP0QY/mF3H12dNRIRERERERERkUrKQ2JENextaKqSepW775Kmq3P3+jYucyngReAXYCF3/0LhR+mJzGwaovLjsUSgpZ64/1lTMml9+ndIFoLPQzFzEZVTBwAfA4spCC8TujJh+KHA9cAiwBJECP5LojGUjgPS7Up6Rp6RCO+eB0wDTJpNei5wprt/XfUvKdLFshD7SkRofQagL1Gluh8wOr0v1AN3AVvlla7bE4ZX4FeqycxmBvYBTnT3X9rSE42ZLQb8N729x903TcPzrESLIfiS/WMlYKS7v5IN2wd4290fU+84IiIyMVAQXkREKiJ7iLkQ8BjjVjUq9R3wALCnu49UGF5EREREREREZOJjZssApwCrZ4Ovcfed0vi2hAiKe1KLAj8r/ChdqSTU2Lcj9yjNrD/wO+ACYD4ivJsbDjwBXO/ut6Z5SsMuSxJV5OuBV4GV2tpwRKQ3KxOGrwfGAJMQIfiV1COI9CSlgdxUSGoP4PfA3Nmk/yQC8S8owCsTiiy8vgLx7LhfGvUVcR70A/ATsT8sBiyZzX4fsJu7f1tmec2F4S9w9ze7eLVExjKz2YgG2TMAFwMHufuI1q5j07HgVWL7/Q+wBtBYXFu0NQSfqstPTxQo/Ba42N3/W/JZCsGLiMhEQUF4ERGpGDObk+i2bsE06CfgViLIPh+wNFGlCOIG9f3ANh0Iw58IPObuo6qxXiIiIiIiIiIiUnlmVgtsChxC3Dcq3AFs29Z7PyVhAIUfpUuUhODPIEJcl7v78A4ubxJgbWBFIjzThyggchvwmbt/maYbJ+ySAmCrAY8AtcC97r5JZ9ZNpDcpCcOPICprKwQvPV72Gz41sDJwBLBUNskDwJnAkwrDy4QihdbvAOYBhhA9h/817wHBzOqAmYHjgR1oqhb/LLC2u/+aTdtcGH4IsQ+d6O5vV2PdZOJmZv2Ay4Ft06DBRC5i/xSGb/Z8xMzmBd4izv9fA1Zx9+Ep2H4UbQvBFw3ClyLyEzXAoe5+RuXXVkREpOcr7WpRRESkQ9JNit2JGxkjgIeBld39L+6+u7uvARwAPJRmqSO6Ab7FzCZx94b08JOS10cTlcEaiW6ylwNOA9aq3tqJiIiIiIiIiEglpRBLA3APcCFRSQ/i/s8fgPvMbOkUFi6q3ZWVV7hT+FG6QkkI/hzgQKJYx1ZmVlrRvS3Lq3X3ke5+j7sf6u47uvu27r6/uz+bheCtZPt2MxtA3IetBUaS7reamZ75yUTB3a8H/gSMJkLwn6IQvPQApecqpb/LxXHE3X8izn+2InoAKawPHAQs07XfVKQ60jnLLsBMadBTwN7u/nV6royZ9Uu92gwChgLDaKocf0Megoex50Lm7m8AfyUCwMOAgcCqwM9dvFoiAKRG23cQRQIBpgT+DzjHzCZNeYfxzs/TseIn4N00aHFiP4FoINVqCD59fqOZTQOcTmT/fgTeq9gKioiI9DK6KSYiIpXSn+jGug/Rgnkfd3/HzGqzUPtlwEnATdl8v6ftYfiiCtjCRIUXERERERERERHphbIQyxjgZuIB/uNEhV+ANYHLgL3NbLZi+m76ujKRy0LwZxKhqwYigHsOsE17w/AtVIe0kum8ZHwNUUV4kTRoBFFZdZwGISLdpdiGu/r3OoXh9yZ6ZlhDIXiphpa273yYmc1nZv1TSLFsHsPDx8CGNBWQggjD72dmMzX3WSK9yDTENj0p8C2wl7t/mwK99envqFRZ+xRgC2DyNO9O7n4xlD8/ysLw+wIfpeWv6+7fVGfVZGJWbJPufifwd6JAIESDjDwMP95xIP3+/wQ8mQ3e0syuA3ajDSH4NKxf+qz506APgVcrtIoiIiK9joLwIiLSIUVI3cyKGxKLEVUqfiFuZHxQVPZKofbigvAZ4CzgxmxxbQ3DXwiMAVZ19//pBqCIiIiIiIiISO9VEoa/G/gbcEM2yaLAIcAdZrYSUYgBUPVrqT4z2wnYJ7319G8Aca+z3WH4ckqD7+lzi+BlDVEg5EBgIaIHzcPd/X3dJ5WeIqt4XTQeqe3Cz7ocWMDdPzWzOoXgpSvlPYMQod6ip+Q8EOlmtglR5f3IVOm62UZKKdj4q7uvT1OIEmBL4re+7HFBpBfZCpgPqAfOc/cv0+91YxHsNbO+wMnA1sCMab4d3f0aaL7hSXYd8SawHbB8ei3S5fJG2u7+L+B8Wg7Djz0fyq5jrwHeSa+XAzYFZkvvD2olBG/AUsS2PzPRSPeQolcpERGRiZFuFIuISLulC64GM1sEuMHMViOqtTcALwFvpmnG3qAruSB8laiW1N4w/CHA/O7+dOnyRURERERERESkcqoVrM1CLA3u/rK7bw8cA3xPhGamAZYEHgHONrMt03yN6XsWxRoUBJYuY2aLE2GuujToE+JeKFQ4DF/yuTVpH5kMWAs4g+gtoZGoPnk/KCgp3aOkAvaMZra4mR1kZn81s+3NbGqiwch401eKu49If+srvWyRXNa4Y1fgSzObM1W07luMN7ONgDuJUOJ6xO91S8vMw5GbMW514APMbLcKr4ZItc2U/tYB70P8XpeE4E9h/BD8tdB0HpTtf7OmZRTXD8Xft9390yqul0h7w/ANRQA+C7W/R/zuN6Z/k6bh57n72RBV37Pr3tLGsUcCy6d5D0v5CV0Ti4jIRKuu9UlERETGlW5OLER0r1VLdFn9HnGh9Ym7/9rMfGNvTLj7K2Z2Thq1TfpbhOG3dPeRlroyLcLw6fVnxXfo0pUUEREREREREZmINVeZuisCt6XLdPcTzOxlYH1gZyIU0A/YFdjdzDYHngNuIgLzCgJLl8i2+Q2BNYj7oO8ARxMVG08D+tAUhsfMbnT34ZX4/HQfdh5gX2BVopeERqLnhGvc/etKfI5Ie+XHAzNbnQhjLQ5MlU32JXCFmd3p7q/nzweq/41FOs/MdgAuTW+fMLM13P2TNG5j4K407gfgNeCp1pZZhCPTM7HdiQJSS6bRu5vZq+7+SgVXQ6SaZsxe/wDRk0LWiKS1EPzYZ8Gpock6Zna5u/+vOJbomCLdqST78K8siL4OTWF4zGx/dx9R5B3SPL+Y2XHA0kR199FAX2AKM9vI3e9191Fp/mK+yYGVgP2JRrKNwOVEIyztDyIiMlFTRXgREWm31N3jn4kHPwBrE9119QFmNrPa5locl1SJf4XWK8PXpWnVramIiIiIiIiISBWY2XJmdquZ/dHMli2GV+PBelYp7wHgYGAV4A4ifFxUTd0COJ3omfASMzvAzObs6u8mE58UblmD6KWgFvgVeAh4ELgEOAQYkyavaGV4M5vSzHYmGn3sQ4TgG4j7qWcrGCndKQvBbwD8C1idCME3EtupA7MCBwIXm9naxXyqViq9UQrtzp0NmgN42sz6mdnKNIXgvwduBw5w9+HFeU1LsrDvR0Qw+NP0fiGiEdTYHnBEepliu20gQsFFRfg2h+CzfWhxYC/gKDObrTpfX6R16dym6N3+fqIHp7vT6IFEr1J5ZfjaYh53/47oEeRTIgQPsBNwuZldbGarm9mMwDxmtjTRI9SZNIXgbwKudPePqrO2IiIiPZepQZiIiHSEmc1BPOj5IzAtcbFlwAvAGu7+a2lr/ZL584oxSxItl7fJJrkL2M5T16YiIiIiIiIiItL1zGwVoot2gBFENfY7gI+B84AR7v5zNn2XVfct7i2lUPEUwF+A3xKFFMYA/dOkDcCc7v5VV3wPmXiZ2dTAbcBqadBbwAbu/kUaPxDYkWiY0SdN8wsR/u10ZfgUMj4dmI/Y5vcGHnT3QWm8qmtLtzGz1YD7iOMEwDfAF8SxYxXimUFd+vsVsJe735fm1bYrvU46JuxGBHgLPwFTp9c/EFV5D3b3oS09I2vhM6YBjiN6xOlPBOuXKXpLFulNzOxQ4CSiQOeD7r5BGn42EQ5utRJ8GvYbooeFaYCXgXXz6xGR7pJdr/YnzoeWJLb31YnG20UDqmHAzUBRGb6Yr6j0Pgtx/FiSpkKEAKPSv77EtUbeuORi4OqicazOrUREZGKnILyIiLRbcSGVWtwfQVzITZ1Nsr+7n5dP29Jy0us8DN9IXCTeA2ymizYRERERERERkeowsy2BXYCZgIVLRn8IfEJUvX6pCKB0JOjVie9XS3QdvyBRPW9yYD93f6Many8TlxRq2ZkoCDILsIK7v1SEVtI0UxCVG7sqDL8OsBJwu7v/rzPLEqkUM5sJuIaoSDoYeBzYF/jB3UenkPzOwHpEIR2AH4Gd3f3etAwFtqTXMbNpgd2BE9IgJ0KLPwHXASe6+4+dOTdKod9HiXMxgLOBw4B67TPSm6QGffelt58QjTyWALak7SH4qYGTieuTBuBc4Gh3H93lKyDSgizEPhewH7ACEWQfTeQc6oB6IrxujB+GL+Yv/s5A9EK1CtEjSANNwff6tLzRafj+wANZ41ydU4mIyERPQXgREemQVsLwHwAHteWGdpkw/D7ADmn0au7+VFeuh4iIiIiIiIiIjMvMaoBJiHs0SxIh3zE0ddfeSFTJfsTdr6jSdxrv/pKZGTCgs0FjkZakoPu2wK/AtUBjmW2x4mH4kvum/VMPnAq5SLfKKpguTRSymQG4AdjH3QfnIcbUq+z/EeGwItCrMLxMEMzsWuLYABFw/IVoLPWGmfVz91EdXG7x7G1zIjBZCzwHrO7uYyrx3UWqxcz6ATcSjVcBPgcGEJXdAXZy92vStOVC8H3SvCcQveN8DayoHhKku2XnQwsDtwLzEkH1kUSjj++IbbaOOFcqigAOAf5J85XhJyVC8FsBSwO/IY4xg4FBRMOS+939zeqtrYiISO+gILyIiHRYmTD85sTNi3rgWeAUd384n7al5aTXyxBd/F7h7v+uZkUxERERERERERFpqm6XvV8XWBH4C03BleJh/rVE+PfDVAW4KqFGhSelksyszt3rywwv7n/2A/q5+9AWltGlleFFukvJ/fs6d683s1OAQ4F3ifDv4GZCjNMSYa7DUBheJhBmtiFwb5lRXxIFnj4uPZfqwGfMAlwMbECEIPd29793dHkildRcA9Vyv+Vmtg9wKtC/GJT+7uzuV6eGrVbm+FFDBIHPT3+HA9u4+32IdKPs+mABoveOWYgA/NtE7zjvp55BZk7jDgTWJ3oyg+bD8OPsQ2Y2CVGEsA4Y4e7fl36Hrl9bERGR3qOmu7+AiIj0Xukiz1K3WycBtwM/EBdkKwKHpK57x07b3HKy1y8Cf1EIXkRERERERESkexTBreJejrs/5O5HA8sRVR0/oOn5wg7AZcCuZjYw3QPq8mcPevAvlZLChgebWZ2Z1ebjiu3M3Ue1FIJP0wwFrgIOIXpQgKh6ehawjZlN1szn15YbLtLTmNlawDHp7ej099IUgq8rdy/f3X8gqlqfAnyTBk8DXGlmG6Vpmn12INLTpMYdB6W3Q4EXs9GzAv82szlSZd8O/767+1fAI0Ro2IkKwSLdKrs2cDOrMbNpUtX28c7Ns2kvIHoQMaIhbQPwCvBMOnY40fPB2HMiMxsArAqcTYTgRwJnEvuESLdK2/80wLlE0B3geaKhxvPAT2m6r939JXffCjgceCFNO5DoMeccM5s0heBrskaHNWn+ke7+lbt/VoTgs3G6FhYRESmhivAiIlJW3vqYrCV+M1VdSivD/wGYlnjg8zRwelsqw4uIiIiIiIiISM+U3SsaCKwA7EVUKXUi2PI5UR31OHf/QQUOpDcwsxmAT9PbGVoLu7dxmW2uDF9UDE4VJXcHjnL3Xzr7HUQqzcw2Ae4EfiaCib8FtgQ2c/e72zC/KsPLBMPM1gZ2A74nwrmbpb+Fr4CV3P2zjlSGz5651QAPA2sQofvl3P3diqyESDtl1wK/BTYG1gFmAL4GvgDOAz5z95+ybXjs9m9mDwDr0nTt8B/gceKYMjh7Dj0vcbzYAliUCMFfS5wj/VC9NRZpnpktSRQInJ34fV7B3d8uU9U93wf+QPSwtmYaPRS4habK8J3qSURERGRiV9fdX0BERHqW4gIte1A5EBhoZl8RgfgxpfPkleHN7KQ0uAjDr5KWi7s/nE2rG9oiIiIiIiIiIr1E1l37EOABM3uIqIL3Z6AvEQLYDpjOzPZx9+8VhpdeYA2gH9HL5QrAg50Nobj7UDO7Kr0twvBFZXjM7EZ3H56F4OcFHgNmBmYys10VhpeeJBXAOTG9nQrYGpg8vW9TDyCpgdTN6W0Rhi8qw+/s7vfq2YH0dNnzs0fM7HPgc3cfaWbXAf1p2k9mIapdtysMny2/6CWhBvgfcaxqTMt9V/uJVFva5hrNbGXgBuL3e5I0eoH0dyXiPOpCdy+204Zs+98euI4Iw0P0NLVcGv6RmX0DTEE8V64hzp1GAFcCJykELz3MH4jrX4CbUwh+vN/6tA8Uv+13mJkT2YuliO19KwAzUxheRESkk7q8e1IREek9im63zGwGM/ujmd0FvA58Qtxse8jM1jKzWbN58m7wzN2/AE4C7iAeINURNy0OMbN18mmrunIiIiIiIiIiItIpWXft5u6N7r4v0c37R2mSgcDvgfPNbNqst0GRnupNIlw4LbAJRGClswtNleWvAg4hes2EpjD8NmY2ZRaCf4IIwUNU2J6ls58vUknpnv/5wEtp0ELA9On1fABm1mrxtRRivBk4BfgmDZ4GuMLMfp+mUbhXeqz82Za7v+fuI9Pr74GLgSOzyYsw/BxFGLi55ZrZtGbWJ6sCTwpN1qfl/gBMSVTI1n4iVZVVd1+B6KFgViIEX9rYdW5gR+AaM1sie27cAHEMcPf1iePAsGy+2YCViUZW6xINrQakaY4BjnH3b7tsBUU6Zurs9c/pb9kG4CXHjjuJfaA+TT85EYY/x8wmTccL5fhEREQ6QAdQEREBxnbN1Whm8xNdzJ1DdG1XPHj5DbAacXF2tpmtCuNdvLUUhl8ZheFFRERERERERHq9dF+nNr0+m7gP9GoaPSmwHnCUmU2hsJb0VClk8j7wFODA6ma2UKWW30oYfj0zWxx4nKb7r6OBVd39fd03lZ4iC+VeBvwDeC2N6pf+7mxmk7t7fVuCW82E4acE7jGztSv41UU6rVx4PQ+rlwz/iQ6E4c1sYWJ/+KuZ9c970kmf8x3w3zRoGjPrV7oMka6Utvl5gIuI3/5fiG1yq/TvSOBdYBRxHbAUcIuZLZXvL9m1wzbA/kRleYhzsGLfqAM+BB4CVnH3s9y9CBmL9CT573k/aLmRUklDp7OBe4m8njN+GL5RYXgREZH2a7V1voiITPiybnh/S1x4zZFGjSFaMX9NVHmpJ1o4bwwsYmaHlHZZmofhzeyktJw/EFWVVkmf1+juj+pBqIiIiIiIiIhI71RUq0uV4a82s1HAwcDiRGX4jYF3zOwKdx/T0rJEukMKG44ys/8SBUDmB5YA3q7gZww1s6vS29OBPkQY/goiMDZlGtcArO3uTxf7VaW+g0hnFGGs7Lce4K/AYkR4a37gdDM7yN1/acv26+4/mNnN6e3BRDXgr4F3um5NRNovnesYUQF7BmAo8BXx7Gx0MV32fOwnM7s4DT4x/Z0FeNbMVnT3z1LvCQ3pWdpCRAh+TcDSMs/PPr8RGJKOU2sAJ7j7qK5cZ5Fc9pu+AvFbXQ/cB+zv7oOy6Z4AtiEqwg8A5gVuNrOt3P3lojJ88Tza3a8ErjSzc9Jyf0MUVhsOPAaMdPfh1VtTkXbLezVY2MwmA0a0dA6UzqlqUy8JlwBrA5Ol0ZMDmwGTmtnu7j6iq764iIjIhMqUQRQRmbgVNzHM7DfAk8B0xI2MQcQN7feJhz/LAGsBexM3/AB+BHZ39zvSsqwIt2dd5c0GHEFTGH4E8BZwpLs/Up21FBERERERERGRrpCHHs1sR6Iq5Nxp9HPATu7+QfbQX6RHyO5frgDcBsxI3Af9vbt/WuHPGgjsTAQe+6bBY4hgfAOwhkLw0pOV+a0vwvAQweArgdPcfURbt2MzmwbYBdgS+EMKCetYId2m5BnXwsC6wLbAnMBUwEhie38euMHdH87mzfeRqYHdiR5zCl8D67r7W2maRYmw/EpEo6hBwFLu/nXpMs1sWWCQu3/WFest0hozuxfYEHgDWM/dv0kV3j3b7ucGtgcOpCnc+wmwZRaG93w/E+mtzGwT4EZgEuKcfjV3f76t27eZzUj0sjM18DKwXBr1E7Ccu3/YJV9cRERkAqYgvIiIYGZzAHcSFbuGA88AB7j7uyXTrUx0f7pAGlRLVIzfrY1h+I2AmYhqR8u4+xtdvW4iIiIiIiIiItK6cg/t2/EgPw9/HUSEfWuI6qZXu/vO7VmeSDWlwOLTNFUj3c/db6xkIDe7T3oicBgRmOmLQvDSi5QJw+9LPFMA+BS4BjijnWH4qYHR7j7czOrcvb5LvrxIK1Lld9Jv9drAOUQ194FE7wdjJ81enwDcVjzrKhOG34OmyvAA3wFXE0HHvwDTEyHKL4CV3f1zNQaRnib1YvA0sAjwf+7+r+Z+481sVqLh30G0EIYvM5/OgaRXSQ0/XgCmSYP+Q2znX7R2zWtmfYD+RAB+PiJDsS6wCrC6u/9b180iIiLtpyC8iMhEzsymIG7E7UJcdD0K7OnuH+Wt+VMXjacTF2GTEVXj69Ji2hKGnxU4mejma2t3f1IXcSIiIiIiIiIi3af0Hg4RzJ0aGNLe7thLwl8XAntmo3dx96sq9LVFKiartrsTcAEwKfASsIK7N1QimFWEe1Ng5ilg5jRKIXjpMVraBvNgbslv/Z+IMPwSadJPgWuB09sThk/L0rMC6RHMbAOicFSfNOhbogr8J8CCRK/K02ez3AJc7O7/TvPn51ZTEc/eTs+mH01TzyAAHwBrpfCkQvDS7Up+52uJfeF1YFbi/Oi1VuafDdiJdobhRXqLLPuwH3Aq8Zs+hGjodIq7f9eGMPwMwH+BGYBliUD91+7+hq4LREREOqamu7+AiIh0j3TzAmBRYHWi6sRXwF+bCcGfCaxM3LT4DjieqFIB0SXk5Wa2OYytmJFXzzB3/xI4nKhq8WS6iNONDhERERERERGRblAS1FqWKJTwLPAc8JiZ/dPMljez6YrpW1peuodU3G/aH3igGAWsZWZTtLYMkWrLQiZvAkPT66WBM0rGd0gKNdab2XzAv1EIXnqo9BteZ2YLmdkKZraMmc2UxjWUTFeTXl8DnE8EuQDmBHYADjGzSfNp2/D5elYg3c7MVgNuJoK/Q4GHgRWI3+s/Es/S1gQeA35Ns/0RODYF6MfZlt39Z+A8Yr8YlQYXIfjv0/JXVwheeoLsuW4Rgq8BJnH3X4HBwAjgl3zactz9C+BK4lxqeBo8F3CLmS2dP0MW6WmKbTPfRkvPZbLf+aeI6+dGoveQLYC9zGz6lrZzM+ubpp2K2Le+dPeHUgjedF0gIiLSMaoILyIykTOzO4FNiJt2G6SQei3QmC7SFgDOIkLwkwODgGXc/UszOxLYj6gUBnGxtpu7356WPV5l+NLXIiIiIiIiIiLSfcxsQ+Aq4r5Pv5LRnxMhrQuyB/Mt3tPJKuRtBJwNzEOEA9Zz90crvwYilZHudR6f3r4DHO7ud3diecW+MC/RC+fsaZRC8NLtSu7X/5boyXV7YA4imAXwNfARcCnwnLt/km3XXVIZXqS7pN/qq4AVidD6TcAB7j64CKmbWV93H516QH4UmI0oMgWwkrs/18LylwT+D1gc+CbNf7+7/6wQvHS3rIec3wKbA6sSvR/UE7/n6wOrAeu4+5NtXOasRGX4gxm3MvxW7v6Sjg3Sk2T7QB+iIfdCRIOon919SDbdONfDZrYNkaOYHjCi6ODdwJnu/ml2/Ojj7mNSqH4R4jp5deI8azl3/7FKqyoiIjLBUhBeRGQilrrjfRCYFzgHOAwYA2Mruc8JnEzc4BhIdAG5ort/nOafh+gyeD2aunMcTDNheBERERERERER6TnMbF2aKrdDhF3qSiYbCbwL7OnuL7T1Xo+ZDSTCk39Mgx4EtgGG6F6R9CRZ8GVe4AqiIAjArcCh7v5pJ5Y9HRGIKfYrheCl25WE4NckAlxzAlMQzweKyqeNRGXsn4APiP3hqWw5CsNLr5cdA7YkejiYjugd5/cpBF+ML8KMUwHHAlsD06bFbOHud7TwGc2eO2nfkO6WNXBamWgAMi1NPReUugw4JA8Gt7LscmH4D4CdWmo4IlJN2e/7XMCuREB9CWAY8DNwA/CEuz+dpjcia1ecA+0FnEY0jDKiJ4RPgL8C77r7oDTdpMAawD5EA0QHdnD3G6q1riIiIhMyBeFFRCYwWdd13tqDSTOrAzYmLs5Ocvers3EDiW6s9yBaMX8HrOnub5lZnbvXp+nWA/6VZmsAaokw/C7ufmeFV09ERERERERERCrAzBYCbgMWJB7yvwacRNzbWQDYEZiPeKDvwGfAdu7+XBvuOeWVsJ8HpgE+BFZ1929UOEF6onRf9UjgKJqC62e4+6HF+I5st2Z2LbAdce90dXd/RsFH6QnMbAPgLpq292HE7/1gojDOwJJZHNjS3W/LltGeMLx++6VHSs/KHiMaQv0MrOXu/83CkUUYfnLgdOAPRGAe4A/ufldaTpvOj9JrHQekxzCzZYHHaerhoJ74ze9TMumHwM7u/kw7ll0uDP8/YHlglI4L0p2y3/eFgduJHpz6E9u/E40DRwE/Ase4+xXZvGN780hh+L8BM9HUoHA0sc+8RTQ0XJhoaDIL0djwH8AJ7v5dV6+niIjIxEBBeBGRCUQrFSWa7VbRzAYA87n7a+l9nbvXm9kSRMv/+YmKL3909ydKbmzXEF1mPwcsRlzE9SFukNSmeZqtgiEiIiIiIiIiItWVhdR3JqoATwpcDxxQ0u37UkQF952JKsEAnwPbtDEMX4QKTgYOICpLnuruh3fNmol0XLZf1AAPE9UaC39z99Pz6dq4zDwccwnwT3d/TOFH6QnMbHXgHmAA8AvwChFS/BH4kmgktTpRGXVumsKREEVwrsr3mxbC8B8CdwNHu/vIrl8zkfZLQd1/A3MBbwJrAd/n23dbQvAQRaqq/f1FOiP1Hn4zsBQwAvgIOJuoar0a8Xu+QjbLK0SjqI/b8RmzAjsAJxKh4qXc/a1KfH+RjsrOYxYgGkPNnEY5kXko1zPC2OuCtIz8fH8r4E/EdUQfIuxu6Z+nvxCNY68DLnb3Fyu+YiIiIhMpBeFFRHqxkuoRdcDvgJWI1spfAR+2pSp7Mzes7yKqxf9KVAM7y91/bWb+fwHr0XSjZF7i4m5ld3++c2spIiIiIiIiIiKVZmaPEg/pXwA2cPefzawWaMzuN80BbEuEI4vKwG0Ow6dl5L0J/tPdt+qC1RHptKzy7yzAA8Bvs9H7u/t5HVjm2J4103uF4KXbmdk8wFXEs4R64AZgP3cfUvq7bmaLA5sS4fYps8Vs6u73tBKGX5QomPMCsK67D+3ylRPpADNbBniW2F7vcPctUsMoS8eFdlWCN7Ndgffc/elqrodIe2SNPLYFLgAmB24FDnT3b7Lpfkv0Hr5nNvuLwFbu/mk7Pm8O4P+Ae9393QqsgkinmdkMwC3AKsBI4GOisvtPRGX4/wPWBebMZjvW3Y/PlpGH4RcCVgUOJ66fJ8vmqyfyE8cCd7v7O12yUiIiIhMpBeFFRHqpkhD85sBGRGv6XCNxk/kA4H/NBdnLLHtOogu8OYHvgY3KtUg2s77uPtrM7gfWJ7oN/hk4BNjR3Z/Uwx0RERERERERkZ7FzPoAzwPzAZu5++PN9ShoZjMDO9K5MPyVaRkAy7j7y5VZE5HKykK96wIXAvNkow919zO66auJdFoWetyaCD1ODfwPWN3dB5cEufJg+7REGP7UNA9ERd9V8+cGJfPsABxHVFNdwd0/a0+PCiLVlIKLzxE94LwIrOLuo9O49obgpwZuJBqOHOLuT1VpNUTapMw2ewfxG/8a0Th2UGoIQvabPilwJBEQLnQkDD9OA0GR7pKd828AXArMRDSE3d/dP8jGT0n0inAusEi2iNIw/Dh5CDObEViY6F2njgjEvwC8nAfgdW4kIiJSOTXd/QVERKT9SkLwRxIXX9um0Q3pX336uzxwDbCFmU0x/tLKmoemls1vuPuLRbeOuRSCHwgskAZ9TVSPWV4heBERERERERGRnqEIs2Sva4mAlgHfApQLwafhXwNXA2cAQ9Lg2YEbzWyFFBAY775R+qxi+Gvp7y/ALJ1YFZEulQVRngFOAD7LRp9mZqeY2WzFgHzfEulObdkWs3v1OxOB9pHASaUh+JJpcfcfiN5gj6DpONAP+JuZTZ/Pk4UnryUK5iyZQvB1CnpJD9ZInBNBhOFnA0gByDaH4JPlgHWAZYC1u/Rbi7RTem7rZrawma2QBk9NPFP+WwrB17p7Y8lxYAQRhD8lW9wywM2puFqbKAQv3S07Tyl+u/8IzExkHA5MIfix51TuPtjdnyAqw7+WLepYMzs6my4Pwde4+yB3f8zdj3T3v7n73u5+nbu/k18769xIRESkcnSDTkSklykJwZ8OHE9coNUCXwDfAV8SrYv7pNnmJ7rZWj3N19rv/zBgTHo9l5lNU+6hppnVEVUCpgJGEF09Dim6zFMIXkRERERERESke5TcxynuJfUDBqZeA4cSIcgRZaYfR0fD8NmD/auBt4EBwBatfZ5Id3P3X4C7iXuqH2ejDiUC8Ruk6RrNrLb631AkmNksMG4IvZXpJyUaJDUAkwA/pPnLNoYquPtw4B7gWqIaPMCywIxpuVb6Pdz91ixUqfCj9GSfEpV6ARYknnsBnEw7QvBmNg9QBCO/IKrMi/QIaZttNLPVgTeA481sDeKcvgH4ClpsHNtI9AzeqTC8SHcpGnmY2TypYjs0bf+HuPt7RZG/0t93d38P2JIWwvDZtEVPClacH+WvFX4XERHpGgrCi4j0IiUh+HOAg9KokUS3XWsDSwKLAQcAT2Szzw2cYGZTtSGgPoKm6hfTA38xs8nSQ82+6fNrgN8AOxBB+JFEa2kREREREREREelGJfeQlgVONbMXidDL82Z2OFEIYWpgDmj9gXxHw/ApJDwyzTOSCJUpACA9nrsPAW4H/ko05ChsBZycqsPXNhcYE+lqZrYi8JyZHQNtbpgxJU09cwwHBqVltdo4KRXAuS3NBzATsG8a59l0jSXzaR+RHi01EPxfNuhoM3uU9oXgJwM2J57FAbyDgvDSg6Rz9YWAx9KgNYBdiQazv9J0ft/SMhSGl14p/W43mNliRJj9ETObg7gmLooNtljkz90/oI1h+DS9F8eK/LWIiIh0DdOxVkSkdygTgv9rGvUxcJG7n1NmnlWIQPzGRNeONcCJ7l72gqxk3kuJGyAArxOVXv7h7iNT1ZhV0ndYNy17N3e/qpmuIEVEREREREREpMrMbEPgGmBymnoOLHUJ8LcU+m3LMmcGdgQOBgamwR8Du7j7v1uYb3PgfXd/o23fXqTnMLO5iIYgK5eMegE4FXjV3b/Ipq9Rb5nSlcxsceDV9PZj4Ap3P6X5OcbONwMR0J0yDdrL3f/Rnvv6ZnYGcCDxXOBRd1+vnV9fpKpa2r6Lcak68ANEoalGoB7omybb1N3vaW5ZqffkdYCzgAWInptXcff3dTyQniQ1eroT2JAI/0IE4YcDK7j7W23ZZlOxtBOAw7LBLwJbufunFf/iIs0o/U02s7rmeqFJ17HvApMRv/OvAv2JooBLuvtXbTkfMrP5gFuAxbPBx7r78Z1aGREREekUVYQXEekFWgjBfwScU4Tgi2ovWddaTwFXAh9mi5unjR/7AE2VjhYFjiSqy1xGVAv4B00h+IuBR9JnKgQvIiIiIiIiItLNzGxN4G6i6nsfYDQwqsykaxOhrzZppjL83MBpZta3uarC7n67QvDSW7n7J8DqROj9pWzUssR90n+a2WZmNluavhGa7teKVFL6nV2CCMBD/AYfY2bLtzavu39LVKkuQo5LpOFle/Uo+dxie36LCE7WAEuZ2RQpFCnSI7X03Cob9yNxfvMdsW0XDQhPzkLwdcV8xf6SelFenujxZgHgZ+AwheClp0m92DiwGXBrGtxI/J5PDuyfnkc3tnY8aKEy/PVm1tbn0CKdUpKf2MXM+rl7fQvn35MTDUHqid/53wILE0H4RaFtOYf2VoYXERGR6tBNCRGRHq7kIu5cmkLwHwLnu/tFaVxN0cVoftM63aB7habf/OnNrF9rn+vudxIVwT5Jg6YkHoruQjzgmQNoAG4Ernb3Lzu3piIiIiIiIiIiUglm9hvgbOJ+0HAi9LgNsAkRYH8ym3xu4LxU2a5NsjD8qWnQT8D/uftoFUmQCVEKjzUSxUL2ILb94cCvwIzE/dLbgdvM7CwzW9LM+hf3a0UqKf3O3kRU430zDT7B3Z/Pp2shnP4JTc8LdjWzLbLltqQI9H5ONKxqJPaDUUSQUqTb5QFeM5vczOYys33N7GgzO8rMDjCz+cxsmjRNDYC7jwFuAx4GRgBGPAPbwMz2SNPUF/tJeg43K7AtcBERohxKPFd7KE2jELz0GO7ekIXhtwVuJo4Fnv6tCGyapm21cVSZMHwDsAJwcd5oRKSrZPmJ84DLgJvMrG+xrZeZ/j3iHP6yNKg/MIYIxv8uLatNjVhbCMOf3LG1ERERkc4y3ZMWEekdzOwi4C/p7bdEl9XXpHFlq0oU3X+Z2XbAtWnwPe6+aT5fmW7Dxi7PzHYCtgDWL1n8GOAk4G53/1/FVlRERERERERERDoku9ezE3AuMAlwHXCQu/+cTbcgsDtNBRcguobfyt3zngVb+7zZiMDMne7+ZQrXKPgrE6Qy91BXBZYC9gEGpn9OhCc/A+qIBiOnufvwqn9hmWAV22IqeLMr8Ku7X5GNn7f4LS+511/MNzPwBDAfsc0+Cxzi7v/Jp2vh87cA/pne3u/uG3XBaoq0W0lhqeWAnYmejWcrmfRzosflo9z9uZJlzAOcB6wCTJaNuh34HxFynxGYDvgzMHt6P4Q457oohS1FeqTifD0F3W8AtspG3w+c6u7PpmlbPB6kaWqAY4nGgkOBVdz99S758iIlzOwwIq9QuBPY2t1H59emJceHhYC9aMpdAAwCVnT3T9pzTZsak98CLJ4NntPdP+/wSomIiEiHKAgvItILmNk2wPXp7Rji5vRu7n5dGt9cEL64mXEscDRxEXeou19nZgOBke4+Ops+vwjMLw5nAZYmWkNPDbwL/MfdXy43r4iIiIiIiIiIVEe5ezJm9iCwDhFu/L27D0khFc/u/fQHDiMqORY6EoYvwvcKwctEoUwgfnqiAur6wHLAItnkG7r7A1X+ijKBaibUPs5vr5ltAlxO9CZ7Qrn5iAqohxONOKYgeja4EzjT3f+bL7/Md5gSOJ/oZaQGOC0ty1T9WrpTyfOt9YiGSAOBfkSl6qLKbyNNPSI0AgcDN7n7oGxZ8wBHAOsRIffcGKBPybCfiPD8De7+cYVWSaTLtBKGL44Hz6dp2xqGPwK4y93f6KrvLVLKzA4BdgQWIBqjQjNh+JL5yoXhXwfWd/dv2hmGnxd4kOhpbTV3f6rDKyQiIiIdpiC8iEgvYGbzEw8mfw9Mkwb/Auzv7penacYJw5fc3L4L2Ji4qfcp8ANRAeNb4oHoR8CNwGh3H5wto0/qDrK576Xwu4iIiIiIiIhIF2mu+EE23iDS7Wa2DNDf3Z8ys2eAJYF10/tmH+RnBRQK7Q7Di3S3lu5TtrYfdfJzS+/JzkCEYFYAXkr7n+6hSqeY2fTu/l163ez2bGarAY+nt58Df3f308vNZ2YLAJcAKxIB4RHAfUQ166fTNAbUZAVz6oDVgQuJavLfAku5+1cVXWGRTkgh+H9lgz4CrgG+AiYHFgK2Tq8hQvKnAdflldzNbCZgA6Lq+9IlH1ME64cB3xBhylfy52si3aWV48R4BdEqFYYX6S5mtifxO/ybbHBHw/DPAVu4+6AOVIafzN3/25XXHiIiItI8BeFFRHq4rLLL3ES3cpsCU6bRvwB/dfcr07RFBa48BH8ocAoRgi+65oWmiheFL4mQ/DXAu0W3d2kZxc0QXbiJiIiIiIiIiFRByf2d44FLmgsbpgrAdwJPAKcS1YCnARZvLdCewi/HoDC89EJlKl0vSVT/BRji7m9m03ZZiCu7L1vcyx37HqKxSld8rkz4zGxF4ErgbHe/JA0b7z592tZ2Aw4kQuoQAd3z3f20cvOZ2dLAdcD8adAo4EPgLOCakp4PZiB6PDgOWBQYTPQ+e5l6BJGewsyWB24DZiKqtD8I7F1SAKovMCvwEDBPNvtFwN/c/ZeSsHA/Igw/P7AM0YvCV8AnwMPAY+7+Uxevmki7mVkt0eDD3X1Ic9MoDC+9Vcl1wF7AnnRjGD4tT/uJiIhIN1EQXkSkF2ljGH5sFXcz242oJD8HTQH4X4muT4u/RTg+7w5yGHGR9yxwC/Czu//QhasmIiIiIiIiIiJJyUP9+4Al3X2mZqZdAnglG3QHEdQaACzalkq9CsNLb5SFzWcFNifumS4JTJImGQz8lwjB3OvuXyqwK72JmS0JvJTevg+c6u5Xp3HlwvD9iUrX+wCLp8Flw/BZo40ViMrw8wN9ssU9RBTOeQeoI3qrnYt41jAUuAI4192/qOQ6i3SUmU0NXEAcD/oCNwF7uftgM6tz9/r8GGBmNxDHjeKY8Qd3v6tkmaWNR/oSvST8WjKdji3SrbLf9JmJ3/8/EQ0+ZiV6MHia6B3hPGCEu4/J5lEYXnqtnhiGFxERke6hILyISC/TljB8mi6v/mLAI8CjwANEAH7KtIy5gfWAeuKGdj3RpWMejn8E2FZheBERERERERGR6jGzR4E1gNeJgG9jufCJmd0CbEbc24EofDAcWM7d32lLL38Kw0tvkoW2FgSuBuYFpmbcYh/F6x+Jyr27uvvr3fB1RdotVfLdlyh0My2xPX8KnFguDJ8FGvsB2xGBrsXT4r4BznP30/P5snl+BxxPNKKatuSrNBDPCwo/A5cCV7v7e5Vda5EmZULoZc9lsu14YaIC/CzAB8Dy7v5TaU/KZjYFcAawCTB9Wsx4Ifg2fkeFgqXbZdv20sRv+WLAjMTvdw3jPu99GbgduM7dv87mbXMYXqSnURheREREQEF4EZFeqZkw/AiiusU1ZrYrcDDxAMiAa4ig/NBmlrcGsCCwM3FzZGZgDFEBphFYzd2f6ar1ERERERERERGRcZnZ5sCtxD2a5919tdLAVUll02uA7YkQfCMRXLwK+HMRbGktrNVMGP5F4E8KPEpPkYW2FgYeB6ZLo8ak98OIRiFLAjPR1EBkOLCJuz9R5a8s0iGpwvWfiEDXPHRtGH5OYF1gDyJEWcqBL4FDgKfd/evKr7FIKNmuLwROd/fPy53LZNvweURvCPmzsiLcW2zvkwOnA3+g6dgxNgSfzoNQuF16i2z7X4kI+06TRhXPeIsiaLmfgBeI58YfKgwvEwKF4UVERERBeBGRXqqFyvB3AEsRwXYDLnH3v2TzFTdFynWdOgCYHdgCWI6oOLaBuz/RlsphIiIiIiIiIiJSGWa2A1HpugF42N03bGa6cmH4ourje8ARwJ3pflB7w/DFch4Cfq8H/9Ldsnub8wL3AgsQAffXiQDk69n+sBywNBF67JcWMZoIwdxZ9S8v0g7Ztj4VUcBmDyoThj/f3U8rnS/73GK++YnGJGOIHhVeBu5392+7bKVFGG97vgvYGHgNWNfdv29hvluAP6a3a7j7k/ny2hKCL2lsOI27/6iq79JTZb/3yxE9ew8gjhGfAKcCPwDfA6sTv+ebEo2aigrxbxDnRO+2MQx/K3CRuz9VnTUUaR+F4UVERCZuCsKLiPRizYThG4mbGOOE4Fu7MCvTzWQfYPK868iuWQsRERERERERESlkQZRdgUvT4Mfcfe3m7tE0E4YvPAic4u5Pp/FtDcMfCRwHDAJWcPdPO7tuIpVgZgOBi2gKZz0M7JuqmtYRjUcoioEANwGbAH3T9Ae4+7nV/dYibZP/RndhGH68yvDpdavhLgXApCuVbI/3AhsCI4kK1ju6+2Pl5iEa7b0MLEqEfxd396/NrM7d6zsQgv8jsA5wks5/pNra0/giNQy8iQi6jwDuJyq9Dyoz7e7EseR3RM9RAK8CW7r7R9mxo1wYviHNcz2wu7uP7NxainSNLgzDPwVsox5xREREeq6a7v4CIiLSce7+MXAicBcwOBtlwL+zEHy/1m5O5zfJ0/sx7v5TPk5ERERERERERKpmyuz1iPTXyk2Ywiq16fWfgOuy0esBB5nZSmm8F/d/mpPCNycCB5FC8ClgLNJtUtgRolL10sQzrh+IYPuHKcBVTxSBKgJkRxE9XxYh+IMVgpeeyMymhHF/o7OePH4GrgQuBj4itv05gSPNbMc0bWOxj2TzjSJCixcRFbUBZgL+amaHlpmvaFBl6W9tMa50GpFKayYEPwZ4H9inXAg+00AE5gEGAosUx4T2hOCz86NV0vSnmtnUlVpHkdak/aDYHmdtabr0ckNg7vT6bVIIvrgusFD8fl9C9BR1D1Cf5lkUOMPMpi8+t7iuSO+3JY4jtcBQ4HSF4KUnKzmvuQj4O/BONslmwE1m1je/hi5ZxtvEudM/ssGrADebWZ/WrqVFRESkeygILyLSy5WE4YcQv+0OLGVm26dpRmU3RVpbnroKERERERERERHpJllBgr7Z4B/TuGYDiK2E4TcCDm5vGN7dzy5C8ClgLNJtsn1jR2A+IsS1v7u/WwTHSoKUxwC7ALOl+Q5x97PSuPFCLyLdxcxWAB43s02gamH4fcuF4Yt509+GYn9SsRzpSi2E4N8Gjs9C6+M953L3xrTN/jcN6gMsm/aByYEzaGMl+DTPckQV4KmIc7GhFV5dkbJK9oOrgQtSjyDjyX6TtyK21RFEw8BBaTlje8dJv/HFMeVR4CzgPqIBSR2wLPD7ktB8HobfEbgCWNHd3+yKdReppAqH4S/MBh+ZCgkqSyEiItIDqYKLiMgEwN0/NrMT09tNiYphA4B/mFkfd7+yuOjTDWsRERERERERkZ4rC2VNkg32knFlZaGVBnf/U8q8bJ9Gb5SWgbs/k4UkW32QrxC89DDzAY3p38fQFHjJAmRHEyH4oprqwVkIvibNS3rfx93HVPH7i4xlZksDz6S3R5vZGHf/V/4bnYfhzezKNO0ewDw0heFx96vzfSEPw5vZ9Wm+vYDFaQrD4+6n6fmBdJc2hODvTOOs3PaZnct8mA3e28z+C6xFBB5bDcGnYTMDB6S3w4HnSedgIl0t2w9uBv4P+JToBeeF4vw+n97MFgZ+QzQMHAMMam4/KTmmPGdmlwELpPlnAnZw9yvJtvd0XVE0ht2tC1ZZpMuUnA9dlK6L9yS2eWgKw2/t7qPL7WPu/raZXUr0yvZPd39a50oiIiI9lyrCi4h0g67oMsvHrQw/OA2eFDjPzHZO04xT2UVERERERERERHqcoiJdXgGysWRcs3z8yvDXZqPHVoYvwjDq2l16k1QZdVHi+dZX7v5CGl5bEoLflWZC8Fn1YMxsTeAPZjYJIlVmZn2A3wO/pkGLAKea2YbQYmX4K4jK8B/SVBn+KDPbKU3bUmX4C2mqnF2uMrx6S5CqaWcIvmwgPRt+GfBuej2Q2Na3oykEv3krIfj+wDrAcsR+9QVwdWkwUqQrmdmqRAge4rf9NBh7fl96zj4lMAUR0v3B3T9spcFsfkx5gOhlBCL8voqlXsZL5lFjWOm1KlQZ/k2iVymF4EVERHo4hSFFRKqoeKDSVQ8ZmwnDDwDON7Nd0jQKw4uIiIiIiIiIdJM23JcpAlf5g/gfSsa1qCQMvyNlwvDAim2tCC9SbcV+YmZ12TAj9oFRROOQKcxstlTRvSFN02oIPl8+sBOxP2xuZn27fs1EmqSeCC4HTgcGET15Lwic0koYfjARhr+EpjD8HERl+NbC8DcAFwGvpa9RhOEPTtMq9CtVUYkQfLFvpN/vX4j94megDzALTY0KN3D3O82stpkQfA2wInAQcfz4HtjV3b/X8zSpJnf/N3Be8ZYIqB/VzH5g2XTTm9mi0HIxtnQ8KLbpc4Ans+XMU4FVEOlRyoThLyKOM4XNgJvNrF8LYfiRxbKq8Z1FRESkY3ThJiJSJWY2G/C5me0GVQ/DF5XhFYYXERGRXkvVSkVERKS3Kwl9bWxmM5ROk4Vc6rLBo0rGtao9Yfh2rYRIFyuqu5vZb4BDzWxWiO3f3YfSFPydBlgmhYkxs2OAXWg9BG9p+fMB6wG/A9YnApgiVeXuXxCVrK+gumH4C2kKw08HnGRme1VhlUVKf5PvY9wQ/AmtheCz51uzALj76LS8e4ntupEI9zrwOE2hx8YiCJyF6CcH1gTOBBYinqudlpaj4KNUTXZOfivwKk0B9bWBhUumAfgY+IbYzicHloDWrxeKY0Patr/MRq2YPqOu/JwivVPJ+dDficrweRh+U6IyfBGG1z4gIiLSCykEKSJSBWY2I9Hd6DTAJWa2HSgMLyIiIlJO9jCy1symSAGYLjt3EhEREamGInybXj9C3Lf5PzObrmS6ogrdtNng+pJxbdKGMPwBwOrtWaZIV0rBrAYzW4gIgR0O7Glms2STfZu93s7M5jCzI4gQ/GxpeNkQPIy9rpgSOAmYmrh/+kJXrZNIa9z9K+BiuicM/1L6vO+I45JIl8vOh+4GNiDOcz4CjnD3O9K4ZkPwabtejSg+dUS23PeBo9KyLP1bFrg9PZfrX3x+2h8WAvYHzgcWA4YCVwF3FBWARaol296fBx4tBgMrAVsV02T3Rr9N//qk9wcW91Db4b809Tj1a/qrnkGkR6jkc4A2huGvS2H4+kp9roiIiFSPApAiItWxMJB3rXttN4bhzzSzPdM0qmQhIiIiPUp6oOlmNhOwF/AIcKmZrQntq4IqIiIi0pMU5zFm9jBReRTgb8DWpWH4pF/2enD62+57OS2E4RuIB/7bmVnf8nOLVFcKqcwF3EzsA5MAmwEzZ9UZzwV+Sq9XBC4F9qCpEvwhzYXg07A+RAX4xdKgwcADutaQrmZmkzU3rhvD8NcCDwMruvtX7W1wJdJRZvYo0SjvVyLs+yHwchpX00oIflViu4XoOWS9Yhp3f444JrxHVJkfACxJbOsPmdltZnaxmV0N/Bs4CFiAOBZcBlzu7p9WfIVF2iBrAHI40UiveH58uJltAmN/x2vdvQE4DxiWppkd2NTMpmrtc7Jzo1qaMkODiuVXZGVEOiFt425mc5rZzGlYp/JtrYThxwBbADeoEI+IiEjvpCC8iEh1PEO01v80G9YdYXgHBhI3z2fQhZyIiIj0JOkGd6OZzQdcDhwKLE2EW/Y0swW69QuKiIiIVMZT2euZgMPIwvAp1AJRHbUIqYxM4zoUTCkThr+SCL58Axzn7qM7slyRSjOzSYGDgYWI7f5RYEt3fymrzvg5US21keg5YXWgqBh/oLufmZY1Xgg+WYwISc6XlrG3u3+ge6XSlcxseeBf6W9Z3RSGvwzY3N0/M7O67Bgk0tVuSH/7ExWtVwQOMbP5y/12l4TgHyf2j++Be4geRMZy9yeAnYDHgB+Kwekz/gD8GdiB6MV5srSc44AL3f2dSq6kSHtkIfdG4Bjgq2IUsKOZzZmmK36rXyQafQBMAewJbGBmA1r7LDObGliPCNs3EudWFa3CLdIRWQ9RiwAfE9fLFSnw10wY/nXiONQInK/GICIiIr2TgvAiIlWQbig/CuxL94Xhb88G/97dv9WFnIiIiPQURSUjM1sYeJCo0DgTURnsPOBmd3+vpWWIiIiI9AbufiKwfzZoBkrC8ElezXEUdK4KXjrXqkuvdyXOsZYvwo8dXa5IhQ0gGsPWAP8D9nT31/Nt390HARfSVCW1CMXc4O7nQFxfEKGxsYEuM6szs8WIsOPKab4TiKCkKqBKlzGz5YBngZWAE81smeam7YYw/Gh3/yUNq0ekStz9KmDrbNBUwM7AHmY2TzHQzGrKhOCN6BnkIeAAd/+u9BzJ3f9D9DR4ABGU/4Wm40bhXaKy/BpECP6zSq6jSK6tz4CzkPtrxDmKE9vuasAyaVnFOf07wMnZ7LMAJwGbmdm0+Wfnn5/Ok5YhqshD7E+PpmXqfEi6Vfq9n5O4FgD4nZnNVakcRZkw/DXAm8Aa7v5UZyvPi4iISPcwnceKiFRP6mZ6HeB8YM5s1A7ufn2axrriJoOZzUt0t32Fuz/fQkUkERERkarKHmguDDxJVOSqJx7e75weXhbTdsm5koiIiEi1mdl+wNnZoG+BU4B/uvsgM3sNWBRoADZz9/sq9Ll98wrwRYPESixbpL2yBrF93X20mf0fcDPRIHYld3+1uWsAM9uZ6Emq8BkRBL7f3f9bMu3UxH3ZPxNBskYi9HKmqv9KVzKz/sBpwD5pUCPwPrCmu3/TwnyzED0X7ALMSFwjvwsc5u73p2nG7hvFazObMs2zOzBv+rzPgBNT8Lil3hJEqqJk290KuDEbPRi4GrjI3T9qIQT/L+CgIgTf0jZtZv2I0O+CRNXsEcBwIvg71N1/0X4hXSnfvsysXyqg1up9TjNbmrhXOkka9DmwXLpWGHsOb2Z/JhpRFb4BrgVucffXSpY5GbAEcWxajtgf9nT3azu9oiIVkp4TPEycAzVSwevh7DPy/XImd/9GxwIREZHeS0F4EZEq644wfHYTvJ+7j9JFnIiIiPQU2XnKfMAjRCWiYUS1vP3d/T2du4iIiEhvlIK3w9x9TAvT7Ef5MPy1wF1E9eAa4B/E+dEYYHKiQvCw9HdyYCRRNX5gWs4woD8RmhlBhAf6Ez3uPOPuD1dgFUU6JQvBL06EhE8hKrVfQVT53ZB4jtVQMl8eoNwfOCsb/QsRkLwC+Ar4mQg97kpUSZ2D2B9uAP6RN7oV6SpmthARTt+D+F0+3N1PbcN8lQ7DH+/u11R49URaZGazEudDQ0qGtyUMf7G7v29mqxGVsTsSgm/1npKKLkhXKgnbXgZ8Ddzr7i+3Ml/xm74H8Pds1BXAfqUNOJo5J/oRuAD4APgCmBLYnLjGWJS4hrgUOLZ0HxXpTmY2OfBPYN006HlgU3f/vsKfo+cOIiIiEwgF4UVEukF3VoYXERER6WnMbDrgMmBjorvfh4G988pfJdOPd56kcycRERHpScxsTeBUYEN3/66Vafdj3DD8d8B5RHB3DiIIXylDgcXc/bMKLlOkw8zsd0SF3ymIYNdbxP5wlbvv0sZlFJXhnQhJ5hrT8Nr0vgE4F7ihqJCqawmpBjNbEDgUeMvdz8yGT+nug1uYr1Jh+FHp3+7ufkvl11BkfGa2OnAhsIm7f1hmfGth+AuB94gGgu0OwTfznfSbL1VTso1fC2xHhM8/Ai5w98uyactuz2Y2J3FtsFEa9C6wj7s/VjpPC+dEY4hg/GTEtUUN0Vj2aqKRVIvXKyLVlJ3LrEQ0jp2EaMixkbu/rvC6iIiIlKMgvIhIN1EYXkRERCZ22U3tdYjqQ7MTXfeukSrBj/cwP5t3UqKKUT/gC3evr/4aiIiIiIzPzOYCXiMqtW/q7ve0do+nTBh+MFHdvTTU2xlfACu6+5dFJe4KLlukQ8zsBmBrIqDVB/gSmBW4y93/YGZ93X10G5azHhH4XRGYtswkQ4jA137AE+7+Q5pP91+lasxsanf/KXu/EXAUsG9LvRNUIAy/C7AgsX8t5+5fd8X6ieTMbCaicdOURGj3otYKG5QJww8HBhDnQz8CDwAHu/u3CkJKb2JmdwCbEg2S+tJ0jn8F0QvUA+7e2Nw5upntSvQQVZPmvcXdt07jSsPw6wN/BZYh9r/GNF8DTQ0DhwHHAtfkxyWRnsLMjOjN7Bbi/B7gWnffsdu+lIiIiPRodd39BUREJgbFTYj8ZoS7jzazh4F9GTcMf62Z4e7Xp5vVehgjIiIiE6TsHGc7IgTfCBySQvDjPMTJHor+DlgC+AswDfHw6BMzOw34T6W7RxURERHpgOmASdPrJYF7Wru34+7nxrP+sWH4IvQ1GviBCMbXEdUdC8W5kpf5VwwvphkBbK8QvPQ07r5tKhiyObG9zphGLWpmA9z9l5bujxbj3P1BM/sfsf/tRARn5gAGEeHJO4F33f2jks/XfVepmpIQ/AbA3entaWZ2kLu/1Mx8X5nZxeltEYZfEDglPUu4P3+WkL0ebGZXEMekdYDt3P1rHQekSgYQjZwAFobyv7kl2+7N6XyoCMMXgeFfgWeAPd19uLZh6YWKAh61xPnOIGAW4jd9RWATM9vf3X/JZ8r2jcvNbBXiHirAlmb2orufU9w/zaZ9wMzeJu61HkgcMxYnGpa8BbxNVKN/uytXWKQz0vHiazO7naYg/DJmtoi7v6H8hIiIiJRSRXgRkS5W3JAzsyWARYAb84qlqgwvIiIiEzMzG0BU9FqJ6Bp4A3f/d6r6YtnDnP7An4DDiAD8AOLBkRMPkT4HLgMuVRheREREupuZ3Q+sD3wKrOfu77dxvv1oCsPXE0H4E4iw5MdEGKxfGv8rUd2xLxE0q0+vSfPVpn/1QI27jzSzOvWkIz1Fvj2a2Z3AJkS10gaiOvzhwFnt3WazatiTuPvIcuMqswYiHZOug88E/kxTo6dXgP2aC8On+TpaGX4KIlM2TMcBqSYzuwbYnrjfs7q7v9jCtM1Vhh9D3Pu5GjhK93ykN8kKpc0PXAcsTWzP1xNV2ffMJn8DOA14xt0/z5ZR5+71aRk3Ar9Ly3gR2NvdX2nh84tn1DMBo9z9Jx0HpDfI9p2ZgDuAZdOofdz9om78aiIiItJD1XT3FxARmZCli7QGM1uYuCExc+nNBY+ufYvK8J9mo641s+3SNJ7CYCIiIiITmnqark0nSf9g3BD8xsDfiS6AZydC8A1pvqJL39mB3Ug3xXXuJCIiIt0hOwf5Mv2dCpg3jWv1fry7nwsckN7WEVV89wE2AKZy91FEaGaEu49291+BX9x9pLuPIYJmI919TBr3q7uPSiF4U+hFeoJiP0mhrrr0ejOiwUfRgMOAjYjAWEeNLvOZCsFLt0sVfy9I/4YSjZiWBM41s2a3eXf/CrgYuIKoJlxHU2X4DdM0Xrq9u/vQFILXcUCqIjsf+jD9bSQqUmNmteXmKdl2bwa2SaP6EPvIH4HDzWyeLvraIhXnTb1dfg7cT5yrG/Ab4FqicdNgooHrIkQjqX+Y2erZMuqzZdxL9PRkwFLAmlD+Pmj6zS96TvgW+Dm9Vm8K0uNl+853RE8Ghb3NbO5u+EoiIiLSwykILyLShVJL5d8AzxIPcL5sZjqF4UVERGRi1UDc0C6cbGbLAQPMbPbUjfvZwI7ZNO8ARxMV4o/Nhs8OHJqqHSngIiIiIt3pMuAnYCAR2poke5jfopIwPMDMwMHAlmY2rYf6bPqG7HVj/jkl43R+JN2iCD2a2eQwXtixuTC8AysAB5jZfO35vCz8q+1ful1zjaDc/W0i1H4dXRiGL5lX+4FURbatXQN8QxQ02M/MBua/zeXmayYMD9G48E/AXgrDS2+TGqheQtMz4NmB5dz9UqKRx3XA90RvH+sDj5nZ38xs8ZJlXA58kQbVAieY2TLlft/zYekawUuHi1RbufOi5vIPWWOOk4Cv0+AZgDmaW5aIiIhMvHRiICLSQc1VrShjI2AKIuT1Y3MTKQwvIiIiE7JmKhPVpBDXiURlIogKYU8BrxE96uwEFFVeXgPOA5Zx91Pc/Tp3P57oFr4wLzBbF6yCiIiISKuyYEledXEuYC1o+8P6MmH4GYDDgG3MbLqKfFmRKkiNVBvMbDHgBjP7I7QpDF9cP2wOHGdm83bD1xdpUel1rpktYWarmNkmZrYqjFPRdDzu/i5wEZUNw6+fplHQUbpV2j+GAu+nQbMD27d2LtRKGH5KolDCngrDS2+S7oF+S1SAHwJMD+xsZtO7+2PAccDWwLtE75kAJwPnmNnBxXLS7/9ewC9pUB/geDObuTprItJx6bqg0cwWNLMN8h5syh0bsuPBT8BLafCUwBFm1q+tDc1FRERk4qAgvIhIO5nZVBAVhdoYhh+Y/tYQXVc3S2F4ERERmdBk5y1mZv3MbBkzmwzG9p5jxEOek2iqDG/EA9Lpie6zISoeHQQc5O6/mFmdmdWmm+T3EQ9WnTj3GqDzJREREelO7v4F8I/0diZgizS8sa3nKS2E4bdWGF56i3QPdSHgOeD3wC5mtkka11oYvrAVEfJSGF56jBRq9PR6KzO7FHgBeBS4E3jczB42s/XNbIrmllPhMPw8wOVmtmYl1lGkM1IPNoOBK9OgSYF1i/EtBeLbEIbfCVWGl14kC+z+j+gpYRSwKHB+Gv+1uz8OrEwUAXklTb8qcJqZ3WlmK5rZlGm6a2kKzC8KrAGqkC09V1Hd3cwWJc6X7gNuNrODzaxfPl0+XzqWDAGuzgbPS5wraZsXERGRsXRSICLSDmY2K/CVmd0CbQ7DFzc3jGiZ3yKF4UVERGRCUQQDUlWiA4BniGrvW5rZ1DD2ZvYI4BZgf+Bz4ryplqiQ9ACwi7v/2d0fT+dfNe5e7+4N6UFSf2CaNN8HwIeqficiIiI9wAs0deG+vZntBu2r0qswvEwgdgQmSa/XAfZRGF56s3RN2phenw+cDuxKhNGNCCc60RvI2cBOZjawmcVVKgz/BbGfjQHe7uQqilTSc8Cr6fWGwKHQcm8JaXxbKsMrDC/dqr0hXHcfCtxDVLgGWMXMti+W5e4/AkcBe9MU/G0ENgEuAU40s1mIgiE/pPEzEvtCv9ToVhkg6XHSb/qcRAB+cqAB+CNwGvAf4GQzWyy/VjazmiwP8Thwf3o9O7BpWq6qwouIiAigILyISJuZ2bTA60TQ6o9mdhm0KQw/Tfo7gqYbGy1qRxhev+MiIiLSI2VdnS4A3AAcTDzI70s80FkgP5dx9+/d/SZgaaJS5B+B5YAd3P2qtMziAWhj9jmTANsCA9Kgd4BanSeJiHS/vAG3GnPLxMjdnwWeKN4S4fXfdWA556IwvPRuRxLVTX9O79dAYXjppUpC8LcRYcVZ0+jB6V89Tc9gFwD+QoTimw1NViAMfwfwGrCau3/Txt5sRbqcu39EFEUo7Gxm67RxXoXhpccqOR78xswmT69bvPZNFd3PSW9nBDYws2nSfdQ6d//V3V9w952BvYCniUZOCwG7Ay8CkwF3pWU0AssCZ6blKxgsPVVf4GTgSeJ8qbAY8ezgOTM738y2hdiWizyEuw+jqacEgG3MbInqfG0RERHpDUxF8kRE2iaFuK4EliceXhpwhbvvlsbXuntDmfluBTYnLuiWcPfP2vGZfYkqSecDc2ajtnP3Gzu2JiIiIiJdq3gQZGa/JRr3zZhG/QocD3zg7rc3N1/JMCsefJarnmpmSxEPj1YkKsms7u7PVHiVRESknYpr5NQryA/uPrq533KRCVG2DywO3AgsSARYTgZOd/eRHVjmfkRl4cK3wEnAre7+bae/tEgXyPaFvkRAa1tgqjT6ceACd787TTv2OJGCYPXp9Z1EJdTCzcDR7v5htdZDBMYLPd5LVLduSP9OAx4CPgFWIbbZrbLZn3L31drwGQsSwcftgSmA0UTwaz93f6mF+WYERrr7kHz/EelO2f2h6YB/EY076oFrgOPd/Ys2Lic/PmxFnFsVBhO9Ilzm7u9X8vuLNKdkm7wLWJWo0n6tu79Rbrr0vtgnJgOuIp4fA+zt7n8v5iFyPMXxZnGiEeFJQL80/TCi581ViAJuNUQvmfu5+4NdstIiHVDuPpCZ9SHyD2sAOxHbcP80ushg/At4DLjB3b9L800KPA8sQpwf7eTuN+lek4iIiIAqwouItMf7wJ+JCy8jLsR2aUdl+EagXVVYWqgMf33RGlpERESkJ0k3notK8A8SIfiRxIP7ldz91CIEX1oJr1zFouImdvZwydLfWjNbFDiOphD8Me7+jKoOi4h0r/RwvyH9Tj8PXGJmfdWzmUxMsmIJHxMhlUagD3Ao8dC/2arALSzzXMavDH8usKHOf6SnKu6ZpvucBxG9RVWqMrwqAEvVNBOCH0P0SraLux/j7s+5+zfArUQV+CvT7I3AKma2fmuf04nK8INSCN4UgpeeIrvPM4SoXj0UqCMaemzS1vOXVirDDwQOBLZSTwhSLdl9yluBjYnt8C/AA2a2hZlNVUxn4/aI2Zj+DgfuAb5Mo443s5WLedK91WKbf83dzwZWAh4FvgYmB9Ymesg04r7o/MC6xfmTSHfKtt/SEHxfdx/j7ve7+4HA+sS+8x7wI00ZjA3+n73zjJKjOtrwU6uABBKInDMYEDmZnHNONvEjGJNzBoMNNjljgskZk0ywiSYjcsbknLNAIIEQirvv96Nua66G2d3Z1c7uSKrnHJ2Z7bndM63Tt7tu1VtVwOnAC2Z2tJmtI+kX3Mc0GrePjjGzGUMEH0woFM8Dc8a+79pfFQRBMPEQgacgCIIqSY6HN4GjKInhoRkxfDJgu+POCHBHX5urfZWJ4d/PPvqyXScSBEEQBEFQQ1KAZ1Y84D8LXgX+UWB7SS9XCv5USxIeyLzV8IZ4RdQNcFHBtcC/i9/QIScTBEEQtIsUtJ8beBaYHb9Xn5UCnk0hhg8mJST9hFfBHpQ29QJuMLOl2zMfKojhBwP3h/0T1DM1FMOfHWL4oDNoQQT/Fp6QfX0xDtwWkvQjXiX+ZVzQBaVuCC3SXjF82jeeB0Hdke7/11Eq+NQTnx8bQXUisApi+O3SR4Z3yblSFbo2B0GtMLO5cAE6uG9yctwX+i/gHDP7HbTo/7wJeDG97w1sbWbTFB9WqCT/ErAz8Bd8rd0df740pve/4J3MIxkq6FIyH34/M1vFzK43s0PAnwe5CFjSc5Kuwbsb7IZ3/PgRv7a74T6lY4F7zOwUYBh+328CZsDtIyIRKqhnMvulSIZS/j4fEwRBELQfC39IEARB20hG6MLAqbgAq2jRdYWk3dOYouXvZMBTwFK4iH0ZSUPb+b09cafgGcBukgbkDvggCIIgCIKuJtlJDcB+wDHAdMCbwJaS3u+INqVmNgdeSXUVYBHc6X0TcIGkZ8fn2EEQBMH4Y6VW7xsDJwCLp49+BP4JHJoCn7GeDSYJsjmxAXAbpZbvA4F1Jb3envlgZkcDBwHLSvq08EV16I8Pgg4m85n2xBNEdqAkDH4EOF/SHWmsZaKA7oWoy8z+DWyWHbZ/Eg0HQU1oRQR/vKR/p89+td5NIq//ABvjAsWNJD1W4TsqrpXNbEFgX7x69pTAKLzb2oGSXiwfHwT1SnGNm9nSwGO4YBh8Xqyv1N2vGp9R2fNhF/x5snTYQ0FXYWbb4xWtl6R0bYMnwt6Mi3iHpgS/Ym1QvM6M20AL4OuDrSU9UelazuaR4ZXgz8STzmfHxcG/lfR2jU83CFoks/fnweMDK+LXN8Axkk6psM8462EzWxNYDDgCXz/3y4Z/B0yPxwQagJslbUcQ1Cll9/sV8LXELLif9EXgLuCDNG/CVxoEQTAehBA+CIKgnZjZIrQshm/AM5WfA5bAHeMrpkpg7f3OnsAUkgaHIRwEQRAEQT2Sqq88irfrHQOsI+mx8bVdzGxtYDXgD8BMuKO7EbgQuDZVRWpWQBAEQRDUlmbEX1sC2wNbpk0/4ZUgQwwfTHKYWW/gYFwI0zNt/gTYbDzE8H0k/ZyLhIOgs2nrtduKGP5R4LwqxPAPAGsDqyWxWKwBgppQJoK/G48FjAFeB05sSQSfHeNKYBdcELk1Xr10AWBG4DNcAPmmpOGVjlVBDD8M+ALYTtIrHXzKQVAzMiHYjsAllJIDfwE2kPREG46VPx96Sxoe9lDQ2ZRdhwsDa+DV2qdPQ4rY8RPALbhg97tsLnRLY/bD1wjTAK8Bq0ga2kKSVP69W+I20T/kXc2DoMvI7PyFgVuBufG17whcL/GEpGNb2z/7ez5cEL8XXnSw6JjQhMcFuuF+pq0kPVqDUwqC8SKbEwsBVwDzA9OWDfsf8CDeZWpkJPUFQRC0nxDCB0EQjAdViOFnBp4E5gIel7RGF/3UIAiCIAiC8aINlbk2wqtYADwDbAIMGU8R/HTAn4H/o+TwHoMHiu6R9GVbfmMQBEHQsWSB/BmBZYDN8fv1rEBfYF5Kwt8QwweTLCmQfwjwR6BH2vwdXiG4XZV9w/4JupKywP5CwH8LMW+V+42PGL6/pLfiORJ0Bmb2ELAmLrr6HvibpIvSZ82KVcw7mt0CLAu8A7wNbFE2bARwGXCbpMfTfs2J4bfFxTMf40V3BnbYSQZBJ2Fm/YB9cMHwZGnzL3gC7T3FfGrNxsmrY4ctFHQVFe7XcwNnA0sDs2VDf8CfA/sAb5RVv14AuBZ/VowCTseTrUa18L15olbPlsYGQWeQ+YX6450/CrHvt8CewPOSvh6P42+IV5ffB3929MbjA92BIySdOT6/Pwg6mmxOLISvcWdIHxWaopzGNGazlNwXYvggCIJ2EEL4IAiC8aQlMbyZTYlX9+oHvAnsjGcpd0uvPdK/Rryqae90jMbs/VTAT5Lu67STCoIgCIIgYGxwcgZJ77Vhn93xyl7gldp36aDfsiBwKLAKbl8dJ+m5jjh2EARB0H4yMeMCwAXAwnjnjkoUrat/BP5JiOGDSRAzWxI4ENiOkhh+OLATcL+kn9O4EHUFEwRmtjje0r0JF7TfLWlEFfvlYvhzgV0pzYkBwLlViOFjngQ1x8xWx6u2gwsURwHnA5dJ+qSZfQqB7q64yL1c7ALjimBG49f9aZIeqTC2EEr+CVgOWF/Sp2FDBRMqZjY7sAdwGCUx/Aj8Gr+jmFtxjQcTEpltMxWwAV7QY8OyYT8B5wD35X5NM9sYuDP9+Sywt6RXYw4EEwKZ3TMvcA/wG+Bn4CngYEnvlI9tw7HLq8QvBfQHjgYWTJsHAmvk3xME9YCZzYkXjVoE1//8AFyN2/6LAIsDc2a7vAisLumXEMMHQRC0nRDCB0EQdADNiOEvxltevwvMgS/4iptuA56hXBiv3dNnwkXy4Abw5LhjfQ1Jz9T8RIIgCIIgCBIpKPk08DhehejtVsYXDu+jgJPT5lskbdNegUp5RSMzmwuvJvOFpIEhfAmCIOhayip+PURJAP8N/iz4DhgMLA+sn14LhgDXE2L4YBLEzJYAdseFv4X4ayRwFi7+eiGNi3kR1C1mZkAf/J7fO20eiCd63NlGMfxkwN3AWtnHA2hGDB8EnY2ZbYfbLQWDgWuACyR9VDa2sI/WBB6kJHYfCPwD+AAvnPNbvMJ7r/R5I3AbcIykD5v5HfMCP0ganCeFBMGEiJnNhguF/0LpOTIKuAn4l6R7u+q3BUF7qVAh/m/4vX4+Ss+DkcCHwEWS/pH5VM/Eu0cBXCxpn0rHDIJ6xMymxpM8tsd1DwOA3SV92BHr2gpzaya8G+2cwFBgN0m3xBo6qAfSWhngGDxpQ3icrTwxZCNgG9weKngJWC3E8EEQBG0nhPBBEAQdhJktDJzGuGL4F/Gs5F64+L09rCbpiXB0BEEQBEHQWZjZ9MD/gFnwIORVwCWSXqli3wNxp7fwltabtvM3zILbUS9I+rE9xwiCIAhqT2r9fi+wAF7V+jHgoErdRMzsRGBz/P4OLoa/ARfDj4yAZTCxU1bVel7g94wr/hoDPA/cKOkf2X4R/AzqFjPbAriVkrjrW1wMf0cbxfBz4c+Q2bJjPYqL4e9sbv8gqCW5bWJm2+MdbQoG42vlCyV9lAQvDel6Xg2vIm94J5xngD0lfZ4de2pgXeAKvCAOuBh+Z0k3tBQPiFhBMLGQKmdvjBeWmiJtbgS+Aq4ETgdGpXkV9lDQ6YxHcY/c7l8TrxB/CL/uEHI9cAteRXtR4Fq8SjDAHyVd1d7fHgSdQZbIsSx+Pc+H+3pWlvRWLWwWM+uGxx7OAvbFhfePSFq7I78nCMaH1PnsIWBl4BVgG0nvm1kDrtVsTOPmAfbH19AF/wNWCTF8EARB2wghfBAEQQdSJoYHbwlsuLE6Auibto3EK74b7tQbnbY3pfeN6d/fkwg+xABBEARBEHQaZjYtLjpZAOiRNv9B0jVV7LstLmoEF3NtIOnhNnx34TzfBPg7cDZwtaRhbTiFIAiCoMYksVc34CTgALyq9dvA5imw0y0L6oytWJpEZHsAq6ZDDSHE8MEkSqqCvSoupJwRn1NFcYWbgduBuyUNz/YJ8WPQZZTd2xsAJdt9I7zle0FbxfANuN/0TmAVPLGqSBB5ETipqAwfBJ1NmZixOTH8xZI+SGNWBx7G7+U/AP8FDpf0jZl1BxrLKppuD1xOqTL8y8AawM9xvw8mFVK3nMuAefGOCQUP4PPpckmDs/FhDwU1xcz6SPo5vW+vGD5PpmoAVsOFu3Mx7nX+MZ48dTBwGHAsviZ4AE8yf7f9ZxIEnYOZXYz7epqAIySdXWv/jpltiHeVEvAZLr7/slbfFwQtkSV495M0JHXPfAXX/qwl6dnmnidmNjNwOHBQtjnE8EEQBG2kvdWJgyAIJhmy1kWYWbfi73x7gaQ3gSPxanjg91kDPpO0sqTFgRUlLS9plbRtNUlrS1pX0vqSNpG0ObBdiOCDIAiCIOhsku3xPbAWXrUO4PpKIvhK9hAepCnauBuweRLWV0US0kyDV0maG/gjMEMbTiEIgiDoBLLAzRq4CH4M3uL3/RTYaczGjkmBfyTdAJxP6RnTD9gBOMvMJpPUVIwNgokdSSMlPQisDlwKvEWpSuQ2wAXAADPbIhVfoFLQNAg6inL7vtwvmgL7/c1s7eSvtHTPvwfYJNt1BuBcYDMz60UrSGpKXaBeSpveBorK2csAH7X/rIJg/EhrVEvvbwD+L/t4auAPwD5mNoWZLce4Ivh78WS/b9Jae0yF+/iDuFgeXDzWB6g0LggmStLceAXYEjgFeCH7eF3gBOB5MzvQzFaCsIeC2mJmiwLXmtmm0P7rrSy2K0mPAr/Dk8lfLbZT8n8+hts8H+HPkTXx9TaxRg7qGTObHFg4/dkAvA+/mgO14D48aVbAnHhXhSDodJIt05ieHw+b2TbAL/i1+Q7wdhpT8Xki6WvgDLwwVMGSwBNmNnnRGae2ZxEEQTDhEwZzEARBK5QZpE3F31kVmIay8eVieHAB2JXp8+FFACgJ67sXg8ysexZgGpPGhwg+CIIgCIJOIwkQu0n6DtgWOFrSjsXnZjarmS2Uxo7juEt20Qi8ilETXtV0W2CNZkTzv8LMegAb4UEg0vF+Gb+zCoIgCGrE0unfGLyy+8dQWSiQni+FiOw24DrgOzwoNBUuKsvF8FU9N4JgQicFQz8AjsLF79fi1ewApgeWBa4G7jezU8xsazObPbXZDoIOowjMm9kCudDQzBoyEfwiwBvAA2a2VlbldLzE8FlQvxteDf58vLrj98Dqkl6P50LQlVQhht8RuBJ4mnErwR8m6duWit2ktfdz6c8GfO5MHdd8MKlQ2P6SPscFYOsDZwLPpyE98UrxJwOPmNnlZnaImS1qZv264jcHEy/J1nkG2BzYOXUrGG+K54ikj3A7Z328A9T32bAl8Wu/H+5X7QGcamaLRKw4qHOmAX6T3v9MBySxtmYHZbbVL/h8AZh8fL83CNpDsmUWxKu4LwkcDeyHr20/lfRja/fxEMMHQRCMPyGED4IgqEAhbjezvin4c4KZXQ48bmbXmdkxZraKmfXKjdbMGV4uhhewSzoGkkYUASSl9vBp+9hKL+HUCIIgCIKgqyicapK+kXRqsd3MFscrWBxj3tqxfL8mSb/gYq1RafO0wHnAWlUG8hfBqyDNATTiQvyB43VCQRAEQa3oRal69SBJ77c0uExEdjHeRcTwNfOUuKjsTDPrmY8NgomZwv8jaaikNyXtAmwNHIhXxR4E9AVmwX1NNwE34p0YgqBDSMKsJjNbBa9QenQmhm/Kqts9ke22q5n1zoqFtFsMn47fF1gZ6A2MBA4Glpf0eEvV84Kgs2hFDD8tXuXX8OTAO/FK8C2K4Juxdd4FfuzI3x4E9U4WFxstabCkI3B7aHu8a8KX+POhB7ArLha+Guhe8YBB0A6Sr/NxXEz7C35P/6ajjp/ZMqMlDZS0HXAo8K9s2HR4gpUBw/B18pF5UbUgqEOG4YJfcA1au3VoZjYzlBJymxlTrF0WBBbHnwXfUupSGwSdShKob4gnggAsBGyH38NnMbOq/Dchhg+CIBg/wmAOgiAoI6twNC/wZ2AFSlnMACul14HAu2a2D/CRpBFZRr8kvWlmR6axG+KB/V3NDEm7ZQKzRoIgCIIgCOqMchvFzOYBnsKDQdsAP5vZ+SkBsHzfZ8xsLzwoCTATXt30UDN7VNLYIFISO45KzsBFgeOBVXER/F+Bxwr7qqPPMQiCIBhv8nvzPGa2rKQXWtwhBTOTIOyvwCrAbHigf0r8GTPUzI6TNDqeAUE9UFyHKRCvWl2TxdyQ9DzwvJndiguJd8WTBNcDBgP7SRpai98QTJqk63tBXLzbE1gTGGZm3SU9loRhT+D36R+Bh4DjJA3P9rdCDG9mmwB3pcMXYnjM7G5Jw9L7sff3NLfWxMVfQ4DPJI0iiVmiYEhQL5T5/29IOvZ/po9H43HXr4GLWxPBJ4qEwNmybc8X8yQI6oUsCURVXNfj+12FPfQZ8JmZ3YMnBe6Ax+rWS0N3lTSoVr8jmLQws7mBW/Bq7D8BDwNHSPqmo9ekaR4VxdKuM7O7gUdxn+hUuC02HJgCGAqclBdVC4J6Ij0feuK+fPDYwVZm9lZbNBCZZuIIM/tQ0gXNPWvSHJoXOAmfJ+BJ5J9VGh8EtSbpfv6JrwX2BubE18GN+H19FuDjamwoSV+b2Rnpz4PS65J4V5y1Yp0QBEHQPFERPgiCICMZn41mtjBwD17V5TeUFm/Fq/D21KviVd/3MLPZ4FeVYfLK8EV1l12zyvCNkcUfBEEQBMEEwk/AB3ir0W7AHsD+yW6qxD9xO6hgJuAC4AQzW7/YmETwMwAHUGqB3QRcB9yWBAYhgAyCIKhP3gC+oORjnBtKXdaaIwv6/IhX2msAPk/bpsPF8HtFBeCgXsiqlDaVX5Md2bmgPCAq6WtJr0o6UNIWeHGGpSW90lHfGQQZPwLP4UL0yYCtcD/mznhCbCGCHwAcKemD/PrPRO3NVYY/D9jezGbNv9TMegD9gX2A2XExcYdVXw2CjqbM/59Xhu+ZXmfBuyDM35LQJatmujKwb9r8FnBV8XlNTiAI2kHumymu6+Ia7ehrtcK8+VnSV5LOkLQ7HpdbQtKrHfm9waRLskUOIK1ngeeBwyV9WF55t6Ou9xQfLp4lgyVdAmwBXEypA8IgYAVJ73TEdwZBLUiPh4F4MkfBkiRdRGv+oTTG0pyYBdgJOM/Mdmxh/FTA+cA6uPB4ELCXpMHtP5MgaD/pGv4WuBK4FE/K6Jb+LQDsAm7jVDMn9OvK8I3Ab4EBRQJ6R59DEATBxIBFLCkIgsApMjBT9aMBeIAGXPR1LV4BvjteqXQJYJ5s90G4YXuZpA/T8fKqRgsDp1GqDG9p7J41Pq0gCIIgCIJ2k1U/7SGvyjs9cCtevbfgUmBsZfgyG2gqYHfg9Gx8Ey54fAFvFWnAwriwZrL0+T+BSyQ9U9MTDIIgCNpNCrpMgVfKWzZt/hhYU9Kn1VbNSxWvN8MFkr8BNkofPQbsK+mtqAofdCZltkw/YGpg6/Q6DfAq3hnwv9k+Nev4l1dgrcXxgwDG8YvOjItK1sPv8QLGAD1wEfyjeHXUD5q7N5dVDd6IUmV48I4GdwA34+L6PsC6uJB4bTzAv7eky+PeH9Q7Zc+L7SlVhge/1q8CLpT0UQvHWBy4AlgKGAVcjieaRKXHoEspu77nwu30TfD79HC8cvankr5PXVbeKAABAABJREFUY2paJb78NwVBR2JmfYCngUWAkcBSkt5OhcyUBLoLACMlfVKD7y9ffyyACyD3k/RaR39fENQCMzsIODvbdLSkU9NnrT4jzGwK4FjgQDxecDxwuqTRzYzfH+869TOwnKS3x/skgqADMLPp8JjYnnhnP3DbaR9J16QxVdlNaX1+CHBo2rS2pEc6/lcHQRBMHIQQPgiCIMPMZsfFXcviVemeAg6W9FbZuGWADYC/ZZsHUxKCfVXh2LkYfhReIeaKVMEiCIIgCIKgbijEXGbWV9LQtK1dYvj09/a4oGYK3AZqwkU13SgJ4wtOB66X9HqlYwVBEAT1hZltiQthDF/rXgMcI2lQS/fwVAGpN/AgXtXod+kYf8MFCABnSTq8xqcQBGMpE6GsCOyH2zyzVhh+B3A/XuigsZZi+CDoDDIx/OzAKXhV0t7p49F4tfjtJX1hZt0ljWnhWLkYfgPgNqBX+riw/1/Hu4D0whNNmnBB8OlFoZEgqHfaKoYvG78ocBawIjA58BKwsaSBsQ4OupKy63Rt4ERcmDtVNuwXvKvyNZLuTWNrLoYPglpgZkvgVeCb8M44S0j6prB3zGwN3Bf6IJ4Q+Fkn/KZ4DgQTFMnH8xjexQxgBLC/pCuKz5t7RqS1w5p4AsgS+DxcuVyfUYzNnlH7AwOKOEIQ1AsVxPACPgL+IummNKZaMfysuBj+TkmPhb0VBEHQPK223AiCIJgUyFoI/Q6YL21+h1L1uW5pXA8ASS9KOgHYFnf4gQdsdgW2MLPu5S2JkjDsSOBOXADWCNxU2zMLgiAIgiD4NckxjZn1rPBZIYJfFHjdzLYDSCL4bpK+w22mJ7Ld9gD2T4l/47SKT3/fgFeVvAB4Dxc6Fq2FG4AvcGHNBsCxIYIPgiDoevL7uLXctvc54N+4aKAnnvy9r5lNU/48yI+XgjZz4NUlG4BRkv6NC2oKdjazRcr3D4JaUBZQ3xC4HdgKF8GPSMN+yXbZDK9S988kkmlMVSODYIIkieB7Svoc73zZLfu4OzAUmDaNHVPp/p4dq5hLlronbAS8ko7RgAsBFgZmpiSCvxYvGhIi+GCCIbd10rr3/7KPpwb+AOxjZnl32UIEfyawPC6C/xjYPIngu8U6OOhKyuyhe/Gk1anwe3UhvJocT5i6zsz2SPs1tbJuCIJ65SdK69nJga3MbMpk76yOC+CnxouorRPXeTCpUH6tFzZP+Tog8/GchYt9wTu//s3M/gj+jMiPWfa6MHA4LoJvAg5M+oxfrTeS7dUtvT8/RPBBV9HSs0DSIOAy4BLgUzweNjc+J7ZNY6qymyR9CRwVIvggCILWiYrwQRAEiRSsfARYGV9krSbpqdYEWGa2GXADpQpJnwLryFsE/8oYNbPF8Aoa50h6NAzWIAiCIAg6k6zS46rAjsApWXW6otLRongFl364bbOtpOfSmEIo357K8IZXhV8NmBEX1zTiNthPkn4I8XsQBEHXUs19uML9/Xd45a458ODOp/g6+bxM0NWYngPd0rNmVuA6YHXgLXwd/bWZ9QJewAOhABtIur+DTzMImsXM1gP+m216H7gcGAiMxBP3lgQWzcY8BGykZtq2B8GEhJktiN+XwTt9NOBC+CY8QeR8SU+ksa35TfPK8AsDGwPb4/f4BuBnfF4dCzwk6f1qjhsE9UZZMlWlyvBXAxelmMFiuN20AtAHTwxfSdLnFt1FgjrBzFbBizoVVeA/xbsWDAPWwcXCU2a7HCTpvLRvxLyCCYoUH74CL37WA+9acwhu/9yLr3G/xwXxBySBYxBMtFTw+XTH7/ujJQ3Pto9zvzezaYCD8ErYM+LJr2OAk4CzJf1c9j198DjBgcDa+HrjH8DJkgbW5uyCoH20019aVIbfA5gTv8Y/BI5ra2X4IAiCoHVCCB8EQZBIWf3344Ksj/CWpEPUTJvfMuf2tniQv+BBYBNJo5rZt7ek4WHYBkEQBEHQFWTVjLrhwq6Tgc+TSHExXAQ/Fd6G9Ak8yPNptn/VYviy7w3bJwiCoI7JkqWmw0WK6+NCgCbgNuAzSV+nsWPFjenvA/DnSW9cKDAIF7QfJuntsu+ZDTgfWCuNvwo4GBidvutB/NnSgFc9Oj2eIUFnYGbL49f6zMAPuCD+QEk/lI1bDK9YtwNeLb4X8JKkZTv3FwdBx5OE8AOAGfA50ACshAt2CzH8eZKeTOPbJFo3s97AMsB0wOfA95I+zj4PEXxQU2olNq9CDH8R8DSwH16MJ0TwQV1iZlPjVUy3xP1C9+H20Hfp8wXwzjh/BObPdj1Y0rlpTNjuwQSFmW0D/B23fwwXKs5DSQT/X3xt+21c38HETJlfaDl8zTsfMAs+F/4DPCnpwTR+HPvFzGYB/oR3V5spO/TDwKvAHXihnMnw58gC+LOkCbgROFfSi7U8xyBoC9mc6IknSG2KdwmZGU8g/7JIFE/jxxYDSQnhIYYPgiDoJEIIHwTBREelYEk1xqOZbQTclf58VdKSbfkuMzsBOAbPbv4YF8K/3dL+QRAEQRAEXYGZ/RdYDxcc9gCuAfbBndqP4yL4H4FH8SDPRxWqWbRLDF/ht4TQJehysuu5Z3PJrEEwsZPNgwWBc4DF8KBOwU/Ac/j9/e7y/dL7w/CAZz9cMAAwFH9OvA38glcF+yMeRAUXQW6srJ21md0E/D4dY09Jl3Xs2QbBr0mir9PxQH8v4GZgb0lDsq45vSSNMLO+uKBxU1zICLCDpBu75McHQQeTngX7AifgVduvA9bFRSvtFsM3J/SNNUFQKyqsYzcE+gL3SxpSy++rIIb/CRfET4fPpRDBB3VFJtiaD/cHzQr8C9gr2UO53d8X9wOdRqmTE4QYPpjAKLtvH4xXru6VDfkZuBvYJ82DuK6DiZbMLzQ/fn9fCu/8NwYXABd8hHdz2ivtVzw/iteZgd2AnYB5ce1E4SMq4hFNeMIt6f1lwJWSXqjpSQZBG8jmxFzA3nhBj6UqDL0TeErSGWX7hxg+CIKgEwkhfBAEExVlDotLgLeqdbqZ2eZ4EKcJeBdYvLlq8M3svwru2J4NX8ztL+kf7T2XIOhsYoEVBEEwaWFm9+KVfgvuANbERQE/4lUgD60kgs+O0SFi+CDoSrLreEm8/e7ucd0GkxpZdaP+eJWuGdNHhSCrW3otgpf7SLo42z8XxewO7IkL6fNAKWXHABeEbSDpGTMrvmMavOrk4nhQ9PeSbuuA0wyCFknC3/uB2YEPgOUkDc7mR/E6FXAKXuFu+rT7lpL+E2LeYGLCzHpIGp3ezwKchyfTVi2GD19T0JXk11/y3W8FHAB8BpwJ/LOTxfCN6V9PQgQf1All12uR8Lcv3r3pI9we+r7S/dzMuuN+oPMIMXwwAVMkvab3F+FCRfB162DgSEmXd9XvC4LOIPOPLoyLeudOH43B/Tg/4EUPJst2exDYVtLg7DiF8Lcf8FvgSGCNsq8rxPBj0vvDgXslfZIfo0NPMAjaSDYnFgJuwDsXTI7b8w34vIBSQge4P3MPSV9kxwkxfBAEQSfR0PqQIAiCCYfMYXcBbkieY2a7pc+azKyl+95wSgbrQsBGbfzuJ4A3KAX0Z2lheBB0GWZm6XVyM5vJzFaHquZIEARBMBGQApVI2hAXOxZshovgh+Ii+INbEsGnYzQmh+B3wO+AJ7KP9wD2T87zIKhb0nW8OH79Lg9cm8SQQTDJkNYC8wC3URLB/wI8gLe9/hpPkirWuxea2eHZ/o2FkD1Vbz8Ur6w9ktI6u8CAb4FngXVyEXwSgS2a/jUAz6fvD4LO4P9wEfxoXNw7OIlichF8X+BUKojgi4MUa+4gmNDJRPDdJH0F7I8niwzD79FbAgeY2cppvPLrP5s305vZIp1/BsGkTJkI/nC8qukB6eM5gO2ABbNEvA4jnwuSbsCfL+CJhT2BL4GVQwQf1BPmHZNvTLbO0LT59iSC715JlJWEw0/gcytPJj/HzA5MYyLmEEwIFEndK+FVrHN7fmpgLzPb2swm74ofFwS1JtlNjak4wgBcBC9gELArLmT/DbA9cGHarQlYB/i3mc1WHKuII0gaIukBSWvhXQHPwnUUX+AdAx8FjgZ+K+nCQgSfHyMIuooKc2JxXAQ/AngGTwp/Fu9ymbM+cIuZLZ/F4YpuCYPwzgeXAp/ia+p5gb+Z2dZpbIjggyAIxoNKVZmCIAgmaMxsY2CfbNOlybi8LA9eVtj1GdxZtwi+eFvVzO4DRrW24MqO+Q6wQdo85XifTBB0MFnW8fx4S7rNgbnNbHdJN8YCKwiCYOJH0piiuqOkdczsaVz8W1ToHQyckzufWzneWDG8mf2OcSvD7wFgZlEZPqh31sGd2QKWBP5lZltLeqdrf1YQdA5mNhlwMLAALoB/Gk+IejN9Pj+wGl7Ja96022lpLXwajH0eNEhqkvQY8JiZ3Zr2WwEXEIwGvgNuAt6W9Fkugk9Vli7BfZZDgP8CDWbWFIHQoBOYNb32IIm5kt2Ui+BPx8W/vxLBlycPmtn0KVkwCOqS7No2oCG/j+fjsu1fm9n+eJXgojL8lulYSHoy+Zwa0n5NZjYDcC6wrJkdIunOTj3JYJKkTAR/KZ603S99/CLwEnAB8GGtROiZ4EWSbjCzJryS5A/AiiGCD+qFdK1uSin59EJgYHr/cRrTbOfkZCsVYvi8Mvw56dlwbitxuSDoctI8WIxSgY/vcHHjovjaYCngT0CTmd0jaXjX/NIg6HiSvdJkZnPjvppp8YSowi/0TnYP/7eZfQZsiFe0bgRWBa43sx3yKtjp2N0kNUq6Kv39F9zfM6xs7RwV4IO6IpsTt+D+n5+B13B75w1Jo8ysB74m3g9PFik6HyyHd53dFxfL5wkig8zssjSuqAw/O3Bumgc3d8b5BUEQTKxEBnYQBBMjb+IVXr7Jtl1i3p69pQoUo4AX0vsGYC9g+TyAUwVDsvcj2/Srg6DGJEeFzGxZ4Gpgb9wx3QD8JYlOgiAIgkmArLrjPED/tLmodjQHsF36rKoKLGq9Mvw+KaAUBHVBebVeSWfiImDDk2IXwcXwURk+mKjJ5kIPPCkK4GVgH0lvZiL19/E1xPZ45a6CU8zsyOKPTFBZBDJfSeKXbYGNgc0k/UHS/UkEX4glG83sN3iFsEKM/B5weUrcioBoUFPStTht+nMUHuTEShXh2yqC3wn4s5nN0UmnEARVk1WqLgSJPSgV9GhIY8bxhWYixq9pvjL8qsXYNH5G4GRcHDMPcLWZ9avluQVBmQj+Vryyb7/08dl4RdJ9Jb0paUQtf0shhk/vb8LnytIhgg/qCTObBq/2W7A+3jEBXNzVKhq3Mvwb2UdRGT6YYJD0Gt6RDOAeYEXgEHxtAF4N+BhgIzPr3fm/MAhqQ7JXpsav7wVwcfuzwH5JBD+2e06qjn0CvnY2SnqzVXAx/Gxlxy63dUZK+rlYO2c+ofD5BHVFus/vB8yVNr0E7CLpZVIXEfzSHYKveQ8ALs8OsSRwtpnNko43dh5p3MrwHwC9gGmAD2t0OkEQBJMMseAMgmCiQ9LHeNWKq/Gs/YIWxfDJ8f13SgL23sDtZrZIGt9sm9T0+VR4JUnwCnqPdcDpBEGHkFX5WgWvqrgCvqj6DjgW2EPS2y0dIwiCIJi4MLM+eNXdKYEfKVX8AtgTF2/NVe3xWhHD7423EY5AUdDlZMmB/cxsATM7zMz+jFeDL+yh0YQYPpiIyda3xbp4dWBpYDge7PwgCXvHBi0ljZH0AvB74K3scOVieOWvmQBsdHE8K7UHbkrPj0XxANAqeADoK2AnSV927JkHQWWSaLIIvjfgPqGiymnVIvgsuWRhXCx8SvIXBUFdkNlB05vZ6mZ2NfA48IqZ3Q/83cwWoDQfxhHOtyKGP9zMtkr7zA6cA2wCzIy3kN8yCQWCoCYUFU3T+1vw63IMXtV6T0mHSXq9MwW5eZEdSf+R9GlKsgoRfFAXSPoB79zxL/zePy3eyQlgEXOajY1lxynE8AfyazH8fmlMVIQP6pJsfbo8Xvn9WEmjJP0D+DMhhg8mUrL7+zLASniC7EfAgZI+TJ8r2U79gTPTuL54LOGq7HAVxfA55YL3eC4EdcxUwNq4b2gkPifG8ZUmf5El3+abwGG4TVWwPK5Z+lVSSCaGvxFfq6wn6cXy4j1BEARB27BIrguCYGIlVd3aC6/yMn320Z6SLktj8goxhVB4H7w6TM80/hNgk2TAFscur/TVAKyLt36cDxgMrCDpvVqdXxBUS3G9JhH8w3jbuRHA/4CdJX1QPraLfmoQBEHQiZhZT1yYshfuzNsfbw+/QTbsKuAESZ+04bjdkqhxerydatEScnVJj3fEbw+C9pJdn/MBp+AdESp1xRmDVzbqhgfxt5b0Tuf90iCoHdk8WAyvWrQ9sAQwALhZ0nZJoDWmhWP0x8Uy/bPNf5J0Wht/y/y4mOAyPMgE3t1trUjUDTqLbM18Di7eArhV0tZm1gsX81ZVCT5tWxZ4FJgcbye/gaShnXAqQdAi2f1/fjy5Y0m8G1Q53wNnAHcV9+KyhI/Chzoz7gtdFxfDCPgJeAZ/rsyAi+RHAWtLejL3xQZBrTCzC4B98GqN7wHHSbo1fRbXYBAkyu7tq+B20BaUOgb+iMe53ql27iRB8Sr482Fh/NlgwO6SrqjBaQRBh1DeqcPMekoald4fBpxIKW78KnAScI+k4Z3+Y4OggzGzO/EufiOBNSQ9m0TwTWmtvCCunShE8N8AK0n62MwuAXbPDvcEsIOkLzr3LIKgZdqigTCzvYF/4J1jb0/+oRZ9pWm/vrgPqei2MwY4OCVWVRo/HdBL0hexTgmCIBh/oiJ8EAQTLZI+Ay4CrqCKyvCZYXkPXoludPp7LuAJM1s3VU4dJ2PZzHoAiwIH4SL4RuAwSe9F1mZQDyQnxTLAbbgIfghwF/C7lL2ct+MKEXwQBMFETGGbJKffKPx5cBTeGv5j3OH9ULbLH4C/WNsrw/eQV4bfHu+Ss7qkxzur6l4QVCI5kxvNbGG8gulWuAh+GHANLvi6FHgKD/wUNlJUhg8mOIqKdpXIRPDPAhsCNwNzp4+/SWNaDOxIegvYmhYqw1fxGzcDrsUF9VPhc/FF/JkRIvig08jWwQ9SqoK9gJltjncObIsIfia8fXYvPAH9frxrYBB0KZkIfmHgPmAzXATfiIvXv8CD/ODVgP8CHG1mK8BY31JzleFvA77GhY598cp5M+HzaSCwZojgg87CzLbDE77BkzBObo8IPvz6waRA2b39CVy8/m9K9tBUwOVmNnO1nRSyyvAHAK/gz4aBeIGeIKg7shhxebXeUdlnZxKV4YOJFDNbEY8JAJyeRPANlETw8wB/BVakJIJfJYngu+Gi3+Ie30gVleGDoDMxs5nN7Le53VMF06TXBny93KqvNI0ZileBfzJt6g4s18L4QUXSSKyVgyAIxp8QIQRBMFEj6XPgYqoUw6e/PwWuxFsRFWL4frgD8Cwz287M+prZlGY2J15d5ly8+lETcAnwSDpWiIqDLsfMZsWrVUybNj0CHCDp60IQVja+on0QAaAgCIIJlyywqbLXUZJekrdn7ylnXdoohi+eHanKPJJGp+MNBNYpRPDhzAu6kmT3z4cnvs6NCxMfwSvc/UHSkZL2krQK3inhlmz3EMMHdY+ZzWlmtySx45jmxPBmNhmwGy7UBVgH75AASQRZje3fAWL4UbgoBuAdvAvJVorOakHX8RqewCe84MF5eNJUtSL4yYD1gNVwv/snwEXla+4g6GyyZMD+eLeCIvlpIF69cQNgdWB94AG8AvAUwO/wdcDq0KwY/hvgCDxp5Hn82u+OC2TuxjsiPB1rgaATWReYPb0/VdL1MPa+XfEarOQLrXCPD79oMFFSdm9/nF+L4ZcGzjOzGdshhv8TpTX3Jy0l6wZBZ1F+Py9/NuSflxVTCzF8MMHTjM3zNJ4EC16cAEmFCH5qfL2wJjAl8C3ewe/DVB27EfgAv+eD+5RyMfysNT2hIGgFM5sdX6c+ZmYrtUEMP3X2vmpfaeI1SnMCYDszW7rKfYMgCILxwEKjGQTBpEAycvcG/kgpgAmwp6TL0phxAjJmtjiwMy50L9rdNVEKZvbAF33d8HbXTcD1wAWSXqjl+QRBNVipVfUGeDLITMDHeKb+V/k1X+H6nxav+DI98CbwSxbkjMBlEATBBET2PJgOWAsXLX4u6aD0ed4Ke2x7RzN7AK/mWHAVcIKkT5o5/ox4AOg+Sfdmn1fdcjIIaomZTYm3NN0Wt+GfBnZR6pCTdTMYncbPhgvij84O8wawtaR3OvnnB0GLpDXvU8BseCWu9Vqy381sCWDP9A9gONA7HWNLYFC19+4krPwX0D/bfEQSCrS277rAkrgw8+1UOSkIOpRmROsV7RMzOww4Pf1Z+IAAtpB0RxIOqMLxuuHB/vOBhYFB+PNiQPGM6dizCoLqKK51M5sb7wbVHxiKdwU5SGUdOMxsQ7zIx0y4vTQav0efKmlAfsyy4/fA/aebAJPhIpqBkgbFeiDoLMxsJUqikzeADSV9Ua0/08xmAZbB7ame6RhvyrsfEPfzYGKm7N6+CnAgsAVe0f1nvJvI/pIGtmFOdQO6SxqZ+5uCoCvIbJYp8KTwzfH411TAu8C3ku7N/JwV42dpvXAipbjxq8BJwD2ShnfuWQVB9WS+zwWAuYBH5R1ji8/XkfRget8jFbpZEy84OB/wA74ufqKZmPLLeDJiYfcb3hlkU6WK10HQmZhZX9z/vzClYhy7Smq1S42ZnQIUhT7exJPGv2ptXZs9a6bD58Qs+JxYKyUcBkEQBDUkMq+DIJgkkPS5mV2U/szF8JeYGZIuyzL7lXjVzM4GXserGvXFA6BjcGd4EyVHB8CZwPWSXu+EUwqCVsmcELviAcwRwDFJBD+O4zlz4q2Ft7fbDb/m++GLxMfN7K9K7SBDDB8EQTBhkDm45wGOB1YC5gSGmlmTpENy551SBWFJYyStWyaG/0M65lgxfDHWzGbAgz6bA/uZ2diKqSF6CeqIqYFlKYm6DkgieCsELSnIY2k98IWZ/S2NPS4do6gMH2L4oG5I69i98XXqSDzp6XUzW6Q5u13SK2Z2IT4fdsNF8AALAfNJ+q5asZekt8xsa0pieAGnp3XD6ZX2yebZA3j14SCoGSkI2Q2vcP2zUnW7fEx2TZ5pZosB/0fJB/QSMMDMJktCrp7AqMzO6ovbWKfgAdYfcTH98+n7QzQZdBnp+p8aT+ybH6/Q+BQuZvwwzQ0lv+jCeBJgP/z5MAYvBLI6QPKhDkjHLOZM0WlqNG4z3VTpN9T6PINJm0zAO1e2eUghuqpkD5UJImfERY2LMW5iH8BTZnanpDPSPT/E8MEER0v+/OKzsnv7E5aKxONJsn1wAdj5Zla1GD7NlWKtHSL4oMvI7vmL4mvnNYHfVBj3IPCQmV0q6cfinp8L49N6AUpi+KIyPGYWYvigLrFSh6iFcd3D98Afzey+QgyfieAbkm0P3tljPrx4wvF4vHgc2yr5pEbiQvmZgReAFdLHSwDTACGED7qC3niXm+lwe392YEO8gEhrPIgXy+yL+1vnkfRla2uB9KxpwDUZ36V9odSxKgiCIKghIYQPgmCSoa1i+LTPF8BVZvYssAcuEF6ckgD+S7zl14nAk5JGQlQ+DeqO6XGHcy9gGIwVOhZBe0tj9gIOTeN64AFP8Ot+GWAeM9spieHjGg+CIKhzsvt8f+AW3GndA69+8V+gooi3CjF8g5mdAbybxs4CnABshDu2Ab6p3ZkFQbvZAA90CngSeK1SVbqy5JDRZnYmLqI/IO0bYvigrkjr2Evx4My+afM7rdnrkl43s/PTn7ul12mAK81sFXkV37aK4W/ARWSQRMDNjI+1RFAzyiqaLo5Xat8anyODzOwLvJjBZ0pdCAqxfLreD8M7AG6K+8+XA+4B7jSzqyV9m/YphARbA9vgz5if8C46t0v6pdNOOggqkF3Ty+PzoAfwIXBwEsEXBUGa0prhDDypYwo8aP84LhSbmhbE8J1+YkHwawy30xdOfwsXn1QeXBJE/gbYEfgdsAAlX+govAhOL1zItZKZzSFp/3TvjyIhwQRFus/3wW2aqdPmL4HXJA3Lx1YQw8N4iOGDoKvJ7vkrAdfgQt3e+H3e0r+iE9Q6eDxsczPbRlkV6xDDBxMy6fqdF48RAEyLJ3K/Zmaf5fdylQqnLQ8sjc+P7/EK8pX8Q4bbXcPw9fOJwKp4Ne3VJL0W64agK5D0bdIGDcOv95skHZqPaeHa/Aq/rvvinUPON7PVJQ2pwv4xST+bWR4jC3spCIKgEwghfBAEkxRtEcNr3JZ3b5u3uxNeIa8v7hj/EBgjaahlXsFYzAX1Qqrs1Q+v5DWMUqXHImjfHdged2Zvmu06El+UFbZC0d76T2Z2fFzjQRAE9U1W5WUR4BG86gXAt8AuwIuSBqWxv3L2tSKG3xkXSj5qZs/jleAXw4OpY4A1JT0bAdGgDinsIAN+qbYinaRhZvZPvJr8Cni100IM/3tJ70ZAJ+hqJH1iZqfj93tJ2r58TDOJH5XE8AsAt5rZVpK+b6MYfkfgeuBASQPiWRB0NmUi+PWAC/DKX33Khq4FXGtmN0l6I21rgrHB0qNwH9Bm6bMV8efAIWb2Ci54nwJYI43rDQwBrgCukPRRTU4wCNpAdu/eD0/UGAHsnGyXbkBRAXhBSiL4vnhS6xK4b+haXPjYE7/eQwwf1B2ZrTEovTYBM5rZfJI+gHHtoHTtrgqcB8xD6RnRkF57ZIdvxNcP+5rZL5KODNsmqHfK7KEl8O592wDzUvL3jwK+MrMbgbskPZvtU4h9QwwfTNCUieAfoOQX+g5P3P4CnxfTAEulz6bAfT9PpjXxS8XxqhDDHwFMZma3hxg+qCfMu5j9FVgQ+AV4DviLUtfXZpgLjy8DvCrp9UqDUgxiZmCOtGkavBvV5UXybTwngq5C0tdmdj3whqR7iu1pDTyNpKebiY+9Y2YnAX9PmxYBzjCzQ5IuqNnrOs2J6XFNEcDXtFAsJAiCIOg4QggfBMEkR1vF8JkRq/T+zfx4hQA+gj5BvZEWbo1m9l98sTUFcIKZ/YC3aje8ld1iwEzZrgPwSo7/A9YFNsYdf72BlTvtBIIgCIJ2ke7/TcmZ9wAuivwZd7btL+ntsrEVbZgKYvj/AuuljzfBq2s3UeqU8wuwvqQnw8Ed1CmWve/Wlh0lvWhmT+A2UQOe9LEIcLOZrS/pm2rFwkFQK9Jad19JPxTbzGwpPGFp4/y+XrZfJTH8qsAtKdmjLWL4181sOUnD41kQdAWZgGt94C5K9/tGxr33zwbsDyxjZn8txF+ZL+gdM9sFOBvviNOECyNnwEX03ShVjgQX05wA3CHp81qeYxC0hST8Wj79eXYK9DdQEsHPjYtiVqQkgl9FqfOBmR2b9p8enwNrkNyhIYYP6oXsGvw627wosJuZHSdpZGH/mNmSuL/zZMZdH4B3QfgIeBafD3tS6iglYA8ze1HSLQRBnVImgl8HOB+YBRexj8Gv5UbchpkLOATY28wOlXQV/ErsW0kMvwFwQRLDfxN2f1CvJDtlMTxZuzeezPo0niT4SbrWJ8PnxEG433OttPscwL/NbDNJ/yvWxBXE8MLX3OCdlfcE7uy0kwyCFsieCdPjyRrgMYI9kki9JTt+8vQqUpJgJU1EmkO/x2MQPwBvps8/TGPj+RB0KfLuHmM7fJh3DnwC73xcxLMqzYX78e6AG+F206bAT2b2N0k/NecrNS9CuAG+ngAvmjCsfFwQBEHQ8Vj4J4MgmFQxs9mBvfBA//TZR3tLuiSNCQdeMEFi43Y1WB13vBXVjX7EW/sOp5TNDx7seUDSyWXH2hn4ByWnR39J79TqtwdBEATjj5nNCtyEV3UcATwMHNRcFZZyJ3ZZ4HSsaNLMrsYdfv2y3X8GPgV2k/Rc2E9BvWJmuwGXpj+HAhtIerqK/YoKYnMCL1DqsFDwMrCypBEhBAvqiSyw0wdPdl0nJcr+Sgyfxi+CC4N3zzY/Bvxe0qBI9ggmFMxsWeB2YFZc8PUWcCG+pp0WF770xpP5RgCvAYdLeiLtP44tY2Z74uLf3+MigAZKvAV8ABymVHU4CLqKZuz8aYHDgS2AIyTdkX02DXAknuwxHd49ag15Z8zuuFi+ybzbx9V48kc3vDvOAOBkSY/V/MSCgIr35l/ZM+m6fREv+lFwGfAkfq8uEroXoySCHw0MBM4BLgd+ztbCM+Mi4i3x50k34O+SDu3wEwyCDsbMNsRjAoXdMhgXYv0ATAXMV2G3vwIXqtRBMI8xrAIcgM8HwwVd/wUOCDF8UK+Y2ZTA6cBOeEzsXmB3eYXgbml9nF/nS6ex+2eH+RRYMe1T3k28eH8QnkA7BFhNzVTODoLOotx/Y971/nQ8LrycpDda82Ga2SbAfyitgbeU9J/0WfdUbMFwgf05wGrAJ/h8+aYmJxYE44l5pfYXgdlx+34gsIOkxyvNCTPbDvgzperu3+H2z6GSvs/GFXOiG9AffyashSdabS3p3zU+tSAIgoAQwgdBUMeY2RSSapodGWL4YEInE2b1BqYG1gHulDQ4d3Skhdr12a6j8KB/UcHuFOA2SS+n8d1gbPuuyYBX8VbB3YEFJb3XOWcYBEEQtIXCbjGz/YDjcLHXu8Dmkt4tE7i3KtjNnjO5GP6PeKXg1YDPcMff7en4YTcFdUuy/QcAc+OCl2NS9a6qrtskFnsFt6NuxVteF9wA/EHS6I7+3UHQHpIQ7AzgQDyw0x0Xga0RYvhgYiUF4bvh69v98Gv/X3gy4NBs3IrAPnhVr6nwZ8KreCDziexYVia6XByYP/37BheAPQIMU3RBCLqYTMy1ILC8pKuzz2YHlpR0Z/q7CNKvDFyJiyF/wMUtj1cQHC8NPIonVhX+pGF4EskxkgZ0ykkGkyxlYsMjJJ2e3ufr1GIObAuchotbcobjSVBQ8of+jNv110t6OPs+AxrS8abHbaj508df4AKyvPp8ENQVZrYacAcwJV4B+1lcxD5I0g9JHLwa8H/A6owbGzsTOEXS4HSs3I9ULoYfgovJdpD0Xe3PLAjaRipo8BAwLy5e/K2kTyvYOvl1PiuwN3B0dqj7gW0k/VR2/Pz5tC/wiLJOnEHQFWQ20ZLAdpKOMLPDcfvoMkl7NucTKjvOZHhBkEXSpjeBoyXdlT7viXeOOgpYH7evdpH0zygUEtQrZjYTrg3aC+/4B/AlZWL4sufC/sBhjLu+eAvvqvOxpPfTuH5456ndcRF8E3AunkD+PUEQBEHN6d7VPyAIgqASKUDznJmdIemcWn2PvHX8xenPXAx/UbJvL1XW5q5WvyMI2kO2GFsQ2BF3QM8PXG5mx0j6vhgj6UYzGw4cDCwJTIZX+roHFy/eU3bcXNwyN15JrzvwBt4iOAiCIKhDMntlc1wEPwpP8Hu33AGdOfLmxANCu+PiFgEPAHdL+iTZQWOs1AL4CuCKVB1vYDpU4RwMeymoZ4YC7+C2TQ/gz2b2sLIW183taGYNuFiyD94R4XJgJPCXNGQVfN7dEsGeoB5I9+2/4zb8vmnzysCjZrZG+vxXgc9UFez89Gchhl8Nv7ZDDB/UNckemRLYEF/zPo5Xah9qZj2AMWl9/LSZfY+viXfGk8oXB84ys0MlPZHu48rW3SbpVVww/yvCDgq6kmSvN5rZwsBTQJOZTS7pQnD/J/B5Nra49x+Hi+B/AU4Cnk7jx7mWJb1kZu/h8+RxYEFgNmAJYFCNTy+YxMnvr2Z2N7ChmS0m6f9yeyazTR7Cq8DvSakzCLjwXbh4twFfyx4CPCHpi3T8BklN6RnQaGY9JH2XbKNzy44TBHWJmc2GixL7pk134FXbf0zJsgBDJd1lZi/ia4TTgLnSZ4fhyVGnZscsYgxPeJ4I4B0W+gFzEnMiqF+2wn2eAPclEXyldXDuL/0yxY2nwYWSAEvh8berc59Pih8X/tJ/1PxsgqAK0rpgCTyRdcp0334rffxdGtOaCL6bpJFmdiKeIDUbXhH7P2b2T7zLyMK4MPg3uOD3fODBdPx4LgR1ibyLzSV4kuwRuD9oVuB6MysXwxdrg/PNTLifdNF0qP544YXhZvYcXpRhATx2MBM+J27AE25DBB8EQdBJhBA+CIK6I4mqXsOFJmeZ2XBJF7eyW7tpQQx/cTJ0LwkxfFBvWKni7wrAxcAclCrZrQysgAsYlTmq/2NmT+IO6qnwKr4/lItYcgeFeaX5zSg5s98DuptZYzgygiAI6o9UuW4+/DnQhLd/fxPGisOs7D6/DV75dxG8UljBasD2Zra7pDcrJEmhVAEvCYQVz4Wg3pE0xMxOxqsUGX7N35VEwe83J+7N7K5Z8Aqog3HB2MV4sGcbPPCzFnBLzIWgXkhB/tNx/9+eaXOI4YOJhmT3FDbOHMDX+P14fuArYC95t7QGlXXsSEmC/8DXurvgwc/FyMTwZeNz++lXCU9x7w+6kmSnzAvcRsmm38/MBkh6q3wsgJkthYu6wJNCHqkkiEmiSQG90utdwPe43bN1emZEEmBQM4pry8yuxhOdxuBr1QZJ25fbM8lOuQyv3H4IpSqmRTz0eeAZ4KxCAJ99V3kSSPHssPSvKX1/j449yyAYf7L4VX/8/m54h8CDkgi+WzZPChHv12Z2K54sdR0lwfDJZvahpFuyOZiL4YXHFxYE1k3zLuJnQT2Sdzsouha0uo6V9IWZ3QgsDSybjrMBcHWFdUCsi4O6wsx6Acfj64LReILTl+njkWlMj/I1ck52XQ/AEwz3AmZO23YsG96IC37/KWlgB5xCELSLCrGvojvCtHjHv0Ew1v65Ng1rSQw/Vh8k6QIz+xb4PZ5kBS5674t3GwQXw4Ovmy/Enxkv1/KcgyAIgnFp6OofEARBUIEZcIFJwYVmtldzgzsCeWWki/HKjnkLx4vMbNc0pqkIsgZBV5ItvlbFqxwtijueBwIHAn+UdHcxvhA+pveDJH0g6SV5u9JmndNpn6VxcVcfvIrqCZJGRIAzCIKgPkn358nxlu9FpbruMDYoWgQwVzSzc4AbgRVxx3jxTBDuwFseuMzM5mrpvh+BzqCeye33ZEM9BfyZUmXIWYB7zGz+PHhpZt3Say6CPxufX+8DX6dkkAHZ121tZgvFmiGoJ9Ja92TgkmxzIYbvVojHKuz3Bl7N67JscyGGnzYFkrqV7xcEHU1KuKtIEmPJzLbExbn/h9/Xm/BAf5G0UdFWkfQhKTiJJzn1pFQZfpXiO8rv67EeDuoN804Ix+EJesOAJ4Fty0XwZcyLB/wBnpJ3PPgVSTQ5PV7VrjveFeEYYGVJA/I1RhDUiiToGgJ8il+HArY1sxtgbCecsfaMpIGSrgZWBfbG58dBeBeQdYEjk8ixRVsmewZNll4bgJeTfRUEnUY1dndm7xTFnkYCF6akwO7NiXWTOfUsnhj4WfbRSeadRsaOy2IMT+Lr6qVUqrAdvqGgHumVvZ8KqrflU2Ls/dmmjcxs6Q78bUFQK0biQvgH8OQ94doLgHXMrGdLIvgcSd8CV+CdQ5rrFn4m8HdJL43Xrw6CNlLY6mY2DYxrq2Qi+MWBZ4HdzWy6Yt/k178WOB33B0FJDL9qcaxCDJ/2+RdwMJ4Y8j6+9jZcAN8N+Alfr2yL6yleTr8lYgVBEASdRAjhgyCoO1LgZXXGdbp1pRj+klQtNYKdQZdTZDOb2XLAnbjQ8SfcobGcpIslPVeMLfZr7tptbruZ9QSWw1ugLoFXPf1rc4HRIOhsMoHidGY2VVf/niCoM96n1O50QdzB3T057Xqa2SnAWXjyVMEneHDnSryKfOEMXwiveBQOu6DuyJzdfc1sejPbMv1b2Mzmgl+1ty7e3wZcQyn5Yz7gGTPbyMymT2Mb02uTeWv5v+OVgofjNljBP4GP0/teQPdYMwT1RgeL4VcB7jez6aLyXVBLzGwmGHsfbtaHbWbrAbfiCeL/h1epFvCBpKGtXacVxPA9KFWGHyuGH+8TCoIakM2N2fBqpQAvAbtKeq2luUOpWh3AAs2tq82sB171bnLcX/qVpI8kvVcIA8bvLIKgZdJ1NgJPwLgWr1xttCKGT0kaQ+TdXk+QdJ6k6yT9JGlU2qe1Z0RTWlfsmjaNIiXCxvo46AzMbH7wa7UNSajT42vdyfAOHkVSU2s8D5xCSQw2E24TjX3elInhn1epEnw1xw+CrmB4ehVu70zdin0EjGNjnY+LGhtxW6hPTX5lEHQgaf36EnAU8AhuN3XHr+M5cX9Q1baMpK/wNfOquGj4auBe4BxgVUl/kvS/thwzCMaXrHjNirh/8/cw1lbpmWynRfE5MC9uzy+fPwPaKIYv7J8vJF0KrAmsgXegOji9rgWsJO+o8132PeFTCoIg6CRCCB8EQV0i6QVga9yxXdCZYvgrgEFpczfgODNbvpbfHQTVkBZd8+MOuCnxzP77gJ0lfZY7xKtdWGXZ0YWYbAa8Cvx5eJXg4cBVuGAsCLqc5OBoNLMlgAeB/c2sX9f+qiCoO95Mr91wu+ZGM/s3Xv3iSDzZCVwAfwvuAP+dpN2AP+LO7Ca8WtImEA67oL4oKvya2Xy4/f4ELoS8FXgGeNDM9kgVUot9iuD9e8CleNveQvwyDXATngS7l5n91szWNLPtgYfxeTAZnqx7ezYfmoAR6X0vIiga1CkdJIZvxH2JS+FVt4OgJpjZysB9ZnYItCqGXx6vwtWIByF3wu/Xc5pZ7yorqFaqDD+OGD4I6olsPhT37Y2BBYAfgf0kfVCFSP3L7P3UwHLFcyBLPDc8MXYr3M4ZRsnuifVB0CkkX2iDpGG4SOUaqhDDd0SShpn1BjbChcWk772x+F3je/wgaAkzWwl428xugbFi+F/Z62X79MaToxrwAgdD0/Zq7KHR+Nr3g7SpD17xdJz5VH7tR0JUUOc8i9suhq9/l1YV3b+z6/qX9K+YQ9PU6ocGQUeS7tWvAodREsM3ALMDe6eiOWpDklWjpK8kHSVpV0kbSzpU0pPVFGULgo4m3cuXxbuhLQocY2abp89GmVeCfxxf6/4AfAi8Xm63tEEMX27/fCnpZUl/l3Ruen1J0leREBIEQdB1hBA+CIK6RdLzeMWhrhDDXwLcjFfaBpgL2MLMGqqpFhAEtSC79jbFs5fBhY4HSRpYiIPbetxi8ZYWjUsA5wJ/A5bBRfD/BE6U9MN4nkIQdAjpWl0AeBRYHNge+GOI4YNgbLW8X4A/AV+lzd1w8cpmeJePgn/hlWF2SJVdRsPYFtf34uvFouJRENQNWULUwnhXnG2B3+BCGIApcFvpYuDsJKgsnh/d0vsXgLOBC4Ax2X6b42LI+9K/K4H5cVHlcGAXSe+kdYGl75k6ffdQPEAaBDWntaBKpXXreIrhz8OTRQBWT5WGI7ATdDhmthQerFwM2M7M9oPmRVaS/oZf10Uxg6LV9ZzAVOl50aofpwUx/Glmtma7TygIOpgsGXAh4E9mNm328Y2S3khjWhOhfISLw4TbM0cBK5jZFGne9AFWwzsFroon/x0p6YsOP6kgaIUiISqJ4U+jSjH8+JDWDSsAewPT4pW195L0XRtEY0HQLtI9/gncL7ORmV0HLVd2T7a58MI54F1u1knvqxKrS/oAL6YAvk6eybwzSBBMqPwPGJL9fZqZzVuNWDcJhYcBA7PNMR+CuqHcJ1NunzQjhgePE5ybxlTVcaSYM1lhNcsKjoT4Peh0kn2yPp6sDbAwcJKZrWpmc+JdnKbCk8UfB/aW9GklX2a1Yvhmfoflr+l4MSeCIAi6iBBzBkHQpZhZr5Y+70Ix/Kd4APTVtKkX8AdgpqhwEXQVKejTG9gBF1z9jAdgvknBoHZfm2a2p5ldgS8Gt8GTP34GzgSOkTSwhd2DoNPInAm/xW3ZkcCCeIWiEMMHkzxFJRdJH+HtGd+i5AwED2R+gDvA/yjpX0ko0FAmGHgHF8F3w9u/B0FdUFQ3Na8Efw9usxh+nb4NfIE7uAt2BY4wsw1h3ACPpFdwcdcueGWY4lpvBPrhz5meuE30NrCWpOfS/kUlmIWBGdJveEpSsX4IgpqR7tkys+nNbAkzO9TM9jGzzc2sP4xdO1QK7rRXDP8mLjz7jaTHi99QmzMMJnHWAL7F78VL40LfpSsNzO7npwD/AIrW04140PJ4M+tVTdXHdJxKYvjlgUPMrOf4nFQQdBQqtXh/HfgLsA+wbPq48J+26h+S9CXeGaqYG6sDF+HB/sPTZ//AxQVNePLgkx1zFkHQdjpTDJ/8r6sDZwH98fXFWcDz6fhtLkQSBG1kGrwACHhsagcz26SlHeSMAB7KNvc3s55p7dCiJiD7/E08wbsBTwqfuT0nEARdTXpmFOvf4WnzfLht32qHs/QsmQ2PPYB31Xy2Fr81CNpK5heaysyWMrNz8YJ+U+TjKojhC/ZO+1Qths+OVzxzQi8RdBnyTjZX4OuCL/E41vx4UZs3KYngHwMOk/RxiitU9GW2Vwyfz4mOPL8gCIKgfYx3VYQgCIL2YmazAw+b2Z8l/au5cZKeN7Pf4wGY2dPmC80MSRfX6vdJetvMjgcexIOo0wFrAde1ZCgHQXtowzW1Dl6Vrgl4D/goCVbaHYBJC7c+eLIHePBoMC4svkfS8Ob2DYLOopgjmVPhuhTUPARv1T4vXqULM7tC0pAu+7FBUEMqJT4V27J50pieDe+Z2bp4BcfF8CDmo8Cnkt7Jj1EcMwV5euOdFrrhVeIfSt8T9k/Q5SSncz/cyT0HnujxBnAAnuTRBxfHn4aLFwE2BnqleXFXNkcaU7LfDWb2ErAhsB4eGJ0Dr/r1IXAncJek9zPRZWMSHJ+Lz62BeJeFmCtBTSmuXTNbEDgfD8rPmg35wMwexIM8Fe14SZ+b2cnpzz3TayGGX6MQjylVnMyeL29kf0fAM6gV5+Lr3f2AuYGLJb2UDyhsnzQXivcnppjk/sD0aejqwC5mdqW8NXar92dJH5rZhbgf6DC8guTekiIxMKgLzCu1X0ypyNFuwIj0fsoqj1Hc189JQrBD00f9079Ns+FNeEeQa5M4IAi6jFwMb2anpc074zGDQgyPpO3L7ZnWKOaFmc2KrwsOxOfDT8BVwM2Shnb8WQVBRZ7Gk52OATYAjpV0Vz6ghZjA++lVeIGEg4HTcr9RM99ZbB+IP1d64snio2ONG0yIZGvWJ3EB+6pAX2AL4Cczu0DSl81d3ykRdiNKnTK/p9RFPAi6jMwvNDdwNLAiHiPbCOhtZrfm/qBk3xRi+DPxZwPA/sluOjD3lXby6QRBu5H0lXmRvx54oZvZcT+S4Ul9D+BdzT6p0h/0tZldm/48Ai9KWIjhd5AXBgmbKAiCoI4JIXwQBF1Ccii/jLcVvczMRkq6o7nxXSiGf9jMngWWSZsmT9vDwA3GG/NKptNKeq4N19RMlIKdH0v6YXx/R/rus8xsMjyA+gRwvLwaXhB0OZnId3rcobcl7rQeg1dFGgH0BuYhxPDBREomVmlKf8+PO/gG450RfsifJZkw7CtcuHJThWNWEtUb3nFhubRpDHBfOmbYP0GXkjmaZwMWTZufBfYpROqSBgOfm9mauEhsM7wCzNrpGGRi+DyJ5F3gXeAcM+uLO7p/lPRj9v1Fy9/GNAf/Tkls+QYxV4Iak67ZRjNbGE9SmjF9JEoVfefFkzkWMLMTgGcqCXjbIoYvv6bjGg9qhZU61JyPC3q/lXRR9vlckj7JhJBNZe8LMfx+eLeO+fA17nAzu0FSVUKuJIa/HO8IcqWkL0IUENQLkn42s1OA44DFcT9pE/4smLWlfbNjFF2kGiUdbmY/A7sD5dVRG3GxzC2SXu6wkwiC8aBWYvg0L5YHDsfXxLPiVSSvBi6T9HFNTigIysiSMp7B78FXS7ol+3xJSf9rTrQo6R8plrZq2nSwmX0i6eZ03Iq2ULZtdrwiPcDzkQQVTOhIesXMLgIWwDsczIQLJqc3szMkvZv5h3qkNUMPYCm8y+CU+LrgiIg3BF1NJoLvj2sm5sUTl0bgBW364LGCcQgxfDAxkmyar83sb7iPfo/s40bgUUmfFMMpJf01S4jhgyAIJmws7s9BEHQFZrYWXmm9YDiwfUti+LTfbxlXDA8ufOlwMXzmcHwSF4N1A/aQdHlHf1cw6WFmS+Bz4HtgF0lVtVQ0syOAU9Oft0n6/Xj8hsKpN9axkURdAyVFZYugLsgce78BzsOrns7Rym4f4S3dQwwfTBRkwZiZ8c4gW+NJen2BoXiHkFvxKo1D0j5jnXHVOuaSCL4/7gxfD3cWHiDponDuBV1JNgeK12OAE3A7ajVJb5Vd88WzoxdwFrAd0C8d7iHgfKVqepX2q/D9hc1UrA/6A+fgFef7Ap8Ba0v6oJb/D0EAkCp+3Ye3+wUPyD+BJ5lPiwdBC14ATgHuVzPV4c07tR1NSQwPXjFvjTSPqq6kGgTtJU/OK0tSUjZmc7zbx0WS/t7cfun9n4F9KSWLvARcAFQthk/HKZ4nIQYI6oIyu2VdvG37IpQKJghYU9JjVR4v9wetBiwMrJaO8wlwF/CcyjqEdNwZBZM643NNZc+LKYAjGVcMb8BNkrZPY5u1Z8w7om2C+//3wwuIGb7WOAv4l6SP2vMbg6C9NDc3zGwz4N/4dblt2pbfy4t5sQ2lLmpNwP+AE4v4m1UojJC29wGOx+2oHngiyJ7Ar5Jjg2BCoMx2+iNwNi4UNlw4/A3eGecteYEEzGwmYH284M6yePz6TOBkSb8SGAdBZ5Hd4/sDj+E+IPDreC/gZUlftHIMw5NpczE8uK/0wDQm1r/BBEXSNryAJy414evjRuBt4K+Sbk/jql57pFjcTpTE8OBr5N0kPdKhJxAEQRB0GCGED4KgyzCzjfDqpFOkTXUjhs9ELksBTwGT4RUi15JXVg2CdpMWT8/i1/CPeLvSIyQNqGLfPwEnpT9fB9YCBrfVKZF+w++A6yQNac75HQRdSebYWxj4L14BGOAHPBj5PV4NewO8Uvxy2e4f4pWAQwwfTNBkAqwFgH/g4pQZGbf6b8FtwPXAnblouJXjF/OsNz6HjgLWxR2GlwGnSvq0Y88qCKonmwMLAb+RdIeZnQT8CThB0nGVrvXs2u6FBzq3pQoxfCu/ZXK8YvYVeMVUA74DVpf0doeccBA0QwpWdgNOBA4BRuFr1QOUKtjhz4i9SB1yEq/g64d72yiGfxVYJoKfQS0xs+kkDUrvm7VbyoopvIpX5r2wfL9aiOGDoN4oE3SthwsdF0kfN+Dt3w8sxFxVHG+cuVcuGI65EtSKsnt2b0nD23q9VSGGv1HSDmnsOKKuLBH8GHytUIhmAL7E7aKnlHWICoKuxMyWA55Jf47BbZpd0mfl1/d0wN+A7fEOaY3Aa8DfJV2XjctF9D3w9e4/8EIkg4AVFF1jgwmcsufNH4A/40ki3dKQJty38y7+/Jgf7z47NR63vhY4VtJ3nfzTg2AsmW5hPjxZdQG8MMJzuF/o7WxsizGBEMMHEwvpWu4O3A+sjmsuvsFjADPi9s97wDGS/lPsM55i+M+AxYChsU4OgiCoPxpaHxIEQVAbJN2DV2ccljb1Bm5IVS1a2u954PfA59nmC81srw78bTKvPnwOLoIfgwuXw/EddAST44uyr3FH9DLAolXu+xRe/VfAPMBcSRxW1TM9LQoBlsTbaJ9rZn1CBB/UIymYOQ/wH1wEPxyvgLqSpFMkXSpvDfxHvHrXmbhjQ3g11D2BP5pZvy74+UEw3iSndWNKBnkId0wXDrwPgJfxZKqCrfAg/l7JWd1U6fmQPQuKeTYjcDBwBiUR/E3AlSGCD7qaNAcWx4P2N5vZhngra/AqLFSyY9K13U3SCFw0fBMwJH28Nt76d5M0Vvm8qISZHQjcgD+TZsXn4VvAqiGCDzqDFFzpAayKB3neAvZLIviekpokvS5pX+BYfA0LsAQuct8wJT1VOvbnwMnAJdnmxXFhfRDUBDNbCbjDzHaCsfft5ta1ywJFUYLFgb3NbJ/y/cren4gLuQam/ZbGK/1ub97po9V7fxDUI/m1K+l+PCj/BqU2778F9jSz1jqpFcdrKvt7bPX34vs66KcHwVjKRImXAAeZWd+23puzBPBheFLINXjMwPA5sZ2ZXZrGjuM/Tdf2l3gnnE/xeOm7wD+B5SXdGyL4oM6YDHg4ve8O7GRmV8PY67sbjBV4DcK7hjwK/IILfhcHLjGzk8xszjIR/GzAlng8bEF87Xwi8FG1cYcgqFfK1ghX4T6iu/BYA/jzYnpglfRvFlzw+Avwd0IEH9QByUaaGk9ymi9tfg7YW9LbZTZOi/HeZAO9ChwG5JWt9zezc9OYsc+VIKhX5IwGdsVtnseAP+D2zFe4/fMb4CTzLoNVxQGy43+NJ0OdQmm9vaOkn2KdHARBUJ907+ofEATBpI2ku81sO+BGvDJ8IYZvsTK8pOfN7PeMWxn+QjNDHVAZPlV7PBYPlIJXFj4+OdWDYLyQ9KGZnYY70g4AzpN0fvm4ZrKSv8SrPxo+Z842sy0kfV9NFnNa4M2EV1GdBhfgz4UHTYOgrjCznrhYpbjPv4dXt/jAShWCi6DNIOAIM/sEr2g9K+4Q3CsdKyrDBxMUWWW7hfBA5wzAaOALYH/8vv0NLoo8CHf2zY3bLn2Byc3snCLYnzvAi2eFmS2PC+vPSMcvWkdeDlwl6YXOONdg0iTZI6sCDzR3f05O6b54Qmq39O8iSqLGQjxTsUpR9pwYYWaHpM1FZfi1075IuqtwgrdgS40BNk3v38eDTcdK+qT6sw6C8WYZYHl8HbGPpPfTdTsKSnNB0olmNhIXr/TAk2CPTmMqVoaX9Ll5t4XJgR2B1SS91pZKSUFQLWa2DPBE+lNmNkrSTWq+o82ZuB20B16hcWFcDI+kC/P9yt6fmOKbRWX4QgyPmUVl+GCCoVyUntstkh5In5+GV7fuh1cAHmFmF6VkpzYT8yKoJZkI/m5gQ+Ad4Gczu1rS0Lbcm3MxfPK3ChfAzJbe72Zm30r6c4XEjyFmdiO+zpgP77L2sqSfm1tjBEEX8gTwV3wtsEnatlOyh3bJ/aRpDn1qZofjsYS18VhALzwusCnwrZm9hq+r10mfzwL8hCeV3JHmYTwPggmesjXCHWb2BnA7vk6eLv0Dj7t9g8caDgWekBdYCIIuI1sjL4onvXbDC/cdmGJl1pr4vZy0nijE8Hll+P3NO/XsEXZQMCGQbJ9PzGwboJekL8zsc9y/+Uc8VlyI4ZH0nyriAGOR9HVaLzTgz4RnmvFbBUEQBHWAhT8zCIJ6wMw2piSGB8/Eb1EMn/b7LeOK4cEFAR0hht8QuBt3/C0v6Z3xPWYQ5JjZgsD8ku7Kti2FL9SebmG/w/AApwGDgYuB0yT91NrCzcwmw4Utx+GLv8eBLSQN7ohzCoKOxMymAgbgFYsagbUkPV7JyVBWxWh3XPg1ffr4I1w4GWL4YILCvIrjbbho62c86HmIvPpvN9xn3WRmiwA348KwItn5feBSvO31r8Tw6dj34mKZgiY8AHSbUuvrEIcFtSBVm3sVD9wcgAfYm622mBzZN1b46E+STqvi+woxQC/gbEpiePBuC+fKu1W1dpzDcIHAP4AnJf3Q2j5B0JGY2cp4haPngPWA4RVsorzC6hHACbgYHuAV4CSgohg+7TMbvh75IAI7QS1IlepOwAXpfdPm53Gb5aZiTHYdF8mB3fEONrvhNg/Am8BFki5sbr/0/s+UxPAALwEXACGGDyY4iuu1XBxvZuvi1X/742uCb4Er8TnSLjF8ENSSZFufjvt7uuHFDy7Ek7LbJIZPxyueF32AvwC74H4h4R3VDpV0dzP7TiZpZPZ3PBeCLiO/v5vZNMDg7F5vwErA4ZTE8ADXStoljcnF8DKz2XG7azNcCFbY9w3pvaV/4LGGC4HrJL1Xw9MMgqrI78cdsT4tv7+n+MOcwHL486g73inkq4gjBPWGmV2J2zdjgMMknTe+8yI9VxZnXDE8wHySPhqf3xsEnUWlZ4WZzYwXU9iNUnfX94BjJP2nfL+yfXsD3ST9nH3WI/mPwlcaBEFQx4QQPgiCuqFOxfAbAB9Jend8jxUErWFmawH34B0IdpP0TDPjlsVFXCviTuqPgUuASyT92NwiLAkOlgPOw0WVQ4E1JL1ci/MJgvHFzDbC25Q24pVYfgt8p9SqvcL4XOxyOJ4wUvARHsi5MpzYwYSAmfXFK33tDvTBxbp7y7uKlIvgT8Era/fFK331TId5H7gMOKcZMfw6uBheuJDsIEmPZZ9H8D/ocMw7L72It1sHt3v+jt+fh5eNzQUAW+CJIQAj8Ep2rwPbSnq7iu9tSQz/HHBSc8KYIOhsmrv/prXv03jyyFYt7D9eYviWfkMQdARm1g+vPLcTXrEXukYMfx5ws1JXhSDoarJrvSdu62yM+0mnx4P2r+c+yuTnURb0X49SZfgQwwd1jZlNiScl/V+2uaPE8H3xe/zOuNC3AbhA0gEddwZB0D7KxFrjiKoqrIH3wu/rj46nGH4qvKPOn9K+/cp+1i/A13jHwRckfVuLcw+C9mBmPQDSXOmwbh0hZgwmJJIw93FgCTyBcJNqinpUeWwDFsPjzL/FOwQ+0fJeQVD/tEUMn9liMwFHAm/j/teBlY8eBEEQ1CMhhA+CoK6oFzF8BP2DzsbM5sNFWFMDw/Bg/iFqpjK8me2JC1qKlo0fA3fgleEHZuPyaki/TfusgDu3j5N0Vo1OKQjGm/RMuBMPWr4pafEq9snFLlfhQU/hSSOFGP4KtVB5OAi6kuy+vQxwOe6E/gpYW9I7ZSL4/ni1lpVwEfw3eBX431Gq9P5B2tacGH5FPBj6kKSPwwYKOoPMjpkWvz+fIenIZsbmIoFcDD8GXyv8Fbhc0tAqvrdcDL8Vpe4hi0l6o/1nFQQdQ/YcmA6YGbfhi+TXKXAhzDBgdWBYc/fsVsTw/wNOphUxfBDUguwanwo4CtiBrhPDfwwcJemW2p51ELROZqfMhV+nawJLZkMa07/rgPsl3Zr2KxfDR2X4YIIh+Ssvwp8FBR0lhp8GeAxf74L7ln4bBUGCrqRsfbsdsCWwp6Qfkth3TBJjbYL7+gFuAo6Vd2zKu4JUJYav8BtWxp8Ri6VN3wHPAi9K+r6jzzkI2kp2nc+BJwVuh/s8d5Q0omt/XRB0DWk+vAX0BgYBi0j6rqN8+em5sjjQKOn1SBQJJiRaul6rFMP3lDTKzGbAi4dsjxebOhS4UM0UZwuCIAjqjxDCB0FQd9SLGD4IOhMzmx9fUG2BC7JG4dUaxxHDlznLjwH+DEyWPh6OV1U9Avhc0pupSsB8eHWlDYBF0rgrcSH8D7U/uyBoH2a2FX5fzyvCDyQL8jezXxH03AS4BhcIG14B7D3gDOBGSb/U+BSCoN2Y2U3A1njl600kPZxE8E0pGLQALoIvKsF/Aywr6UszOxY4hNK135oYfmzlsRDBB7WkzI7ZCbgauEbSHyqNaWa/XAwP/lw4EK/QMrKK35CL4S8GNgK2kvR4zIGgq8muz4WA8/HOCbOkj38BfsTF8e8DK0ka1Eqwp7XK8CfgYsqwiYJOpQ7E8Huk7/sBFxB8U/uzDoLmye7//XGf6LzA5HjiX/ey4WPwZ8IFkv6cHSO/zkMMH9QVLdnZNRLDF3NqZbzAQh98bbyTpBvbfSJB0EFk6+FG4J/AYYUI3cw2Bf6Thv6Ad8vct7DZ2yuGr0bUGMLHoKvJ7P2l8PXqUngS6y/4vNi5UoJHEEzspGTZ1/GuUU3AKpKeb48v08ymB4ZL+rmZz8M/GtQN2XOhFzAlXgRqClwb8QVwV2uJfM2I4d8H/irpX2nM9MCpeKxghrTrCpKe6/izCoIgCGpFCOGDIKhLOlgMv5ekS2vyQ4OgAzGvCr8vXsG6H82L4fPg5lHAfpQEMuBOQeFBo77AnGl7j/TZNcDxinZeQZ1jZosAA3DnRndgyyJDv8r9++GdFubHRcLT420jXwX+JOm+cOoF9YiZzQNcAayG37P3xW2hoj32nHhlio2AqXAh8MqSPsyOcQte7broiFAuhu+wVsJB0BbK7JiVJD2VfbYAsCxwt6QhZfu1JIb/Gjgg7VeNGD53oM8q6cMI+AddTXZd9sftn6LzU3EfBw/UNKS/L5K0b75vS8dN78vF8B/i7X7/HfZQ0NlUIYY/R9LN+diy/cZHDH8KsB6wuaTP4hkQdCXZNb0Q8DjeMQfc/r8CF0H+iBc3mBeYO9v9fOBIpeqoZfZSiOGDusDMlgPWB47HY5K/ut/WSAxvuNDlcWCutPk8SQfFfT/oSsxsJuBaYO20aShwp6QdzWxN4KG0/Tvgdvw+/1PZPb4jKsPnxRbCPxp0OZlNtBJwMzATvv4djMeLH5F0e1f+xiDoKsyLnr2C2zQ9gF0kXdvGY3TDRfQHAZ8D9zUnhg+CeiB7LsyFayHWwjsX5HwIXAbcI+nNtF+lQjvlYvgmPMn8bHzdsRe+du6Ttq8h6alYNwRBEExYhBA+CIK6pYPF8HtLuqQmPzQIWqF8wZUt3KYHhipr52heGX4fWhfD59VcdgF+jwdFwRdvxaJMlIQuPwMnApcrKsEHEwDJufcysEDa9BiwWy72bWHfIiD0IB4QugEXFc+Di8ceBjaUNDqCPUE9Yt4i+wC89eJ12fY+eAeRvfHKFN8Ca8m7gHQDSEL3eYBHcKdet7T7+3gF7PNCBB90JZUcyGa2KG7zDME7GvxH0o9lYzpcDF9+3CDoSlJg52488AIuinkSmBpPbp2Zkhj+G+BESRelfdsihv8LpXX20pL+V5MTCoJWqEIMX8vK8FMmUVkkBwZdjpnNjVc5XRT33TwHHCjprWxMP/w6PxkXADTidv6NeJXrwkfUkhj+S+BW4OwQwwedgZmtgvtyHpK0bitjO1wMn477b2BT3Bf0F0kntWX/IKgF6f68F7B52vQj8D9g9fT3IFwEf0SyVyqtocdbDB8E9UJ2Pa8KPAD0xG2d94AdgXdU1hWh635tEHQ+ZtYAPIMXEAF4GthB0qdtPM4swEd4F9ptJN3foT80CDoIG7dr5o3AfHjXtCbcL5ozBC+Adpykx9P+lcTwMwG7ArtTKiII43ZiG4rHjkMEHwRBMAFS/oAIgiCoGyTdDWwHDEubegM3mNlmrez3PC4K/ijb/HZNfmQQlGGJ9H56GFu9t9hWBOzXAl4DtjazyYr9Jb2PB3iuwRduPYElgLPNbMVsXGNyfCDpamB/4I/4Qu97fMHWHRfBv4O3AV4ZOCNE8MGEQJorw/EKd0VVisWATZNQpopDWD+8mmoP4AK8gvbo9PlawCngc7QDf3oQjBfF80Lerv3AQgSfhF7giX7b4CL4wbjo5c00ZxqzwOaPuNOuG94NBFw4czhwYKecTBA0Q4UAfj/gPlycMjUu0t2y/H6f21SS/o13PSiYGTgP2Di3rar5DfEcCLqatITohgdifoPftx8BVpK0EV4tcgXcpv8JnyszA3uY2R/Ar+lifVBO/pmk04Ez8KDnapL+V8yrIOhsimszJT6dClyPt7YG+C1wkJltm48t228McA5wOZ7wB7AwsLeZ7dPcful9UVk1RGFBl5ISwPfHA/vgIvi9JL1VrAHMbDJJQyS9gPt9fqaU7Ppufh2X2UsPAEcAb+HPllnxtUSxbxDUmlXS69JmtnxLA1NF0r3xZ0HBb/CCIX8ws7759d0aRaI47hMq7P2fqv7lQVADyu7PF+FJsODd/lZP778HbgKObk4En46RV3J/Crfx78qG7GRmV6exjdmcCIK6IhPBL4dfwz1xv+adwDqSXiZ1yoTw4QSTHtlz4CJKmokFgNWymEE1xykK7HTHuzAv2JwfKQi6kiLWZWYL40m1i+Ei+FF417S/An9Kn/2AFxZcBbgqJRtSad0g6Ru8a/LxeBEFcGF9dzzW9iL+3AkRfBAEwQRKGDZBEHQazS2mWnJej6cYfkfgE7xK6uOxmAs6AyXMbBPgVjPboNhuZt1T4H014F5gRuBoXOieH6NaMXxT5jz/SNJVwJp4RYD1gXWBVYFlgO0kvRZOwqAeqfQcyBwMT+H3cnBx5EHABmY2Rfk+2fEKB8XswBx4kL9vShq5IBu6YpGwEgT1QnpeFAKt52FsQGhMGnICsCAwEk8UeTKNbSo7zvfAC+nPF3BBDXhb4cdreQ5B0FYkDQH+hjuuwbt3HEONxfBBUA9k4pXJcFu+O54wu7ekN9IzYbikz/A17mVAUfFrcWD/dojhjwd+I+mJZDfFGiHoNPLkcegaMXz23XHtB11GNg+mwxO1e+MC9wMlfVisAdJ1PjLtcxxe/KNP2vfwdE+nbF6Vi+EPBwbia4jtJX1S8xMMAqfoPDAFbuO3FgvoMDF8Es8sgBcGaQA+w7sDBkGXUXZ/fhA4FvfZKPs3GO/c8YOZ9WxJhNUOMXzVgskg6CzSdTwf7rfviydt3wfsI+mrSmvWtKRoyP6O+G8w0ZI9B17GuwMCTIsXElmummOkObI8sAZuFw0G7g+hb1BvJLumyczmxxMGp8N1Qs8BK0jaU9Lxkk4DtgSuxte5DcDcwLVmth40K4YfBFwHbICL6u8HHsVjEdtJej5E8EEQBBMusSgIgqDmZI69ov30HGa2QHJs5OMqVqQYDzH8M8Bikh4NgzXoTMxsfeAOPPv4wCz7eIyZrYFXd+wBfItnHH9Yfow2iOFVtt9gSZ9JekDSQ5KelPSLvLJ2EHQ5zYje1cJnr+LC34LZ8UruW5nZDNlxG9Jrt+QkmRUXCU+NdwV5Jw09H3g3vV8eF8kEQV1RQdRezJFp8Wu2CQ+OPqLUFjgns6l6pnH/xauJvQGsLunFaqvoBUEtKAtW9gSQdClwCKUuICGGDyZqsnt13/TaHw9gDgP2lfR+EfwpkqQkDcWTRq6ilCi4BO0Tw39RbOv4swsmZSpdf8U9O7t3y8y2MLPD09+1FMPvVYytzRkHQfvI/DnbA4sCjcCJ8krw3bJ7f+FPPRbvBDh72u9wSWelz34lEKsgttwb7zQyIMRiQSdyD+6P6QkcYmbTtpaE1IoYfpdqxfDmBRQ2xzvpgNtOnzc3Pgg6i+L+nv6cFS9qY9m/mYC/mNl0kka1ds+uUgx/RRo7ptIxgqCryNbFG5ISpvDnxqGSBpbZQmPnQrrex4kHZMcMn2cwwZDFtaxsu5Vvl/QaXsm6YF7gcjNbqfCvVto3fUd/PDl2CTy2cJCkd2K+BPVGsmtmAv4OzIl3BBkA7Cjvatk9e3ZMCyxJqfuT8E7K17Qihh8j6QtJu0vaSNJaki5WKSE9/EdBEAQTKOHwDIKgphSBGDObycx2N7P7gZdwUeL/zOw+4OjkBG9sbsE1HmL4n9NrGKxBp2BmvfDqXCPSpjWAI81sKTP7LfAQ7tD+AXgAr/Q4qJJDu1oxfBBMKGTPhGnMbBEzO9TMjjGzPcxssfKxWdD+FmC/7OM5cTH8UWa2dBrTlF4bzWw2XAS5NDAan3c/pn2/o/QsAYiK8EGn05y9U4XjeS687akBr0t6PO03zjMkzYNpKQVTJelcYH2lLjmtiQ+CoFZkCUtzmdkUKbBfiOGvxe/3IYYPJmqs1OJ3MeAVM9sIt1HA2/C+WYggi30ywe9wXNxyNe0Uw9finIIASpW70vv1zGz7QphVBCrT+42B24DTzGzvtL0WYvj+wLFmtnNnnH8QtJNZ0ms34GMYa8+Xi+B3A2ZLY8tF8Ln4a+rifZm99ICklyOwH3QW6dobjRcCARelLJo+q1gQp6AFMfy+wJ5m1q9MTFz+3d2AFYCd8aTDQcB+koaG4CuoB5L9Mg8lwfoQSl2f+gC/w2MAU7dk22fHa0kM34h3VDino88jCMYXSY3p7bZ4QZufgL1UqgSfd3Mq7KJFzWx74GEzexF4ycxOMrNl07iqOocEQVeS2ejFNb6gma2YYsnzkYomFH6hbD19HXBcdqgF8BjyH9N+Y/dJc2EqYB3grPTahPtM78vHBkE9YE533A5aIm1+BThE0gdpHjSl9XJ//FpeBuiFPz+KbrOtiuGb+zvmRBAEwYSNxX08CIJakQL3RQvSC/BqXDPhDvAeuAOuGzAK+ADYQV75t6VjbgzciLdTBc8C3V7SHbU5iyBoO2Y2B3AkLoifDr/m38AXbYUI/r94VYtvyx16FY43Hx7o2Rnoh8+ZV/GF31O1O5Mg6DjKnglnAYtRCuKDZ+pfBNwpb91eiHuVOfsOAc7M9hkJDAUuBb7Gxe6zAnsBc+Dz7TNgY0lvZL/lDmCT9Oe2kv7VwacbBBUp7vfp2u6OO6p/BEZL+rp8XIX9l8QTCsfgQuF1JL1UYVw3YGt8rvXFbaW7yscFQS3IrvPpgGHKutJkz4JFgOdxR/Y6koaVib12wtcPfdKuHwEnAbcngWT+fZY9J7bAhZUFnwF/SvuNrMX5BkF7MbOFgNfxIhVf4fbMgcB9knbIr+2y/Yo51huv5rULnigFPqfOl3RVPrbW5xIE5STh+VW43XIa8O9C5GJmm+Ad1MDtmduAPSWNSp8X1/hUwFHADpTWDS8A50i6KR9btl834GB8bvQHBgJL5bZWENQTZnY3XgV1NLCspNfMrHtK7qimEnwugl8L7054raSPOvM8gqA5UhLTdXgc4EZJO7Rh3z54kZD/yzZ/AtwKnC3pm2K+ZK+TAyviQuDFcYHx8fj6oilso6CeMLOD8c5od+Pxgp2ALdPHQ4E7gQMl/VCNbV+2Pl4Zt4m2wP2mK0j6rDZnEgTtJ8XTXsV9mJ8Aq0r6Kn2W2/vd8OIJe+CVsItOmIbHCT7Dk54e7OxzCIK2kK1dZwE2w+/7y+F+0DG4WP1F4GHcDvo+2TiFX3UqvHDIYdlhB+NJtZfhc2EoMCWwO55MuFA67k34mvpXMYUgqBWZnV7R11k2dkrcLloZL2q2oqTX0zNAae4shMe+VsKfHd/gnaCWAk4EpkmH+xbYWdL96ditfn8QBEEwYRNC+CAIakK2iFsYd+AVQcuiCszXeBXeObPdvsYrvdzfklDFvFreTZTE8CNwIeOdHXsWQdB2ikVUct4dgzsxZqDkkBuKB/qPUKoEX00AJonh98GD+f0IMXwwAVH2THgAr9QL7niDUpeiJuA94EJJF6R9u2WVYTCzXXDBfHc8iJqj9K843s/AupKeLUT1eELWfcAi+JxcL5zjQWeQOarnxh3Qa+MO6JHAL3j10ockPZ2PLzvGFLjIcd6033HAJbkwOF3rC+GtI9fCg/4rSnqnlucXBDDO/X4V4BbgaFzsMjybA4sCjwNT4Umtp0o6Id8/vd8RF6v0TYf/CDgZuK0VMfzmwO3Zx18CS0j6vjZnHQRtJ92rdwPOBSbDbaCh+Lx4WNI6re1fJobfGZg7ffwKcIGkK/OxNTmRIKiAmS0FPIlX5AJ4Gr8mbzKz9YF70/bv8LXxnyrc1ztCDP9n3BbaUdKnlWyrIOhq0vPgbmB93Ge6oaSHs8+rqgSf2VnH4YKYa4ATJA3svLMJgsqYd/K7E/fHDAV2kfSfNuxfSQw/FHgLF0R+KGlIGjsfLvrdBV8X/4Svtc8LAXBQT5Tdw1cHnpf0i5mtg1/XRQGPNovhy75nDWBH4G9hDwX1SKrA2x9PEgfvJr5Bfs82sx64H3V7fF1Q0EQpDlDwNrBTiHyDeiWz2xcErgDmxwuqFTHk4rXgcdzHeq28s02x5p0SL6B2UoWvGYUXI+yOFyYk/X0ZcLWk52twakFQETObFS9wdqqkV1sTo5vZX4C/4XGDfSRdY6VK8DKz+fGCC2tREsGvLOkj8247hwF/oBRD/g4Xw9+Xjh9i+CAIgomYEMIHQdDhZIuwhYDHKFXE/hqv0vuupI/NbF68KsutlBZ23wIHAf+RNKKF7ygXwwNsoagMH9QB2RzogQf2N8o+/hY4SNLNaWzVCy6LyvDBBEy6598PzJM2DQOexR3WS+HCr+7482Ao7hQ5Ne1bLoZfB6+ItwaeVFXO93j1mP0kPWeltpGN5q3w7sYdIE9LWrmDTzUIfkVZMshteMeCXniFlwZKQZvn8Yqpp6X9xl77KTA0GZ4IsmPaZyjwF+ABSe+Y2TR4Bci9gXVxB/e+ki4NB1/QWZjZSsAT6c+BuEj3jhSsyUXwPwKP4oKuD7P9O0IMvynwn/TRmpIGdPR5BsH4YmYz4K1+j8GTBEfhttDHwFbyisDN3rurEMOfJ+nq2p5FEFTGzM4GtsVFj+D3+5coVawbhCctHSHpp0qirg4Sw0+enj9jq2sHQb1hZsfjyYMNwDWS/pC2H4eve1sTwRcFGWbHk1BmB14G1i7EwUHQ1ZjZhXhcAFzUfmBbxLhm1gs4H58TUIolDAPeAT7E59CauOCrL54UfiVweSSGB/VIc6J28+4eB9AOMbyZ9VbWlS1t6ylpVNhDQb2S4mhPAL9Nm47BnxVj8ArZpwLL4oL5gv/h9s4nePytP179ehjwV0lnhS80qDdaKBhVaCiGpm2907+CL4C7gD9LGly2FtgGXy/PQ8l/mtOE+5uOAP5b+GBjfgSdQRLBvwJMCzyI6xnebO76SzGwjYF/4PNifUnvZ5/PjIvktwKmxmMPq0p630pV51fA7aZp8edId0IMHwRBMMkQQvggCGqCeTXsW3DnxM+44OUQSe/ZuO19Z8IXb0vjC7GeuDF6INWJ4a/DBcEAq4QYOKgnzGxF4BH8ui6qU4xJ2/7engVXM2L4F3EHyIAOPoUg6BCSQOtcvJLdMPyaPVDSa+nzuYH98Sp4C+IBzUbcaX1yGjM24z/9PT0wI7AnLrDpjwvgv8YTpV4uKh3BWBH8QrgIfm7gB7xqwDlAYzg9glqRCVMWwO//hYO7CNyPoFQxFbxi3dWSDkr7lyeCLIYnlcyYNg0HPscrJy2EO7xnx587FwNnSfq4NmcXBL8mBe3zThs/4HbLd/i1m4vgD0vVWsaxhTpIDL8ZMETSY22tmhcEnYWZTYeLhY/G7Zni2XCEpDPTmPaI4RuBT4GTJF1V+zMJAqcsie80YFc8+JhTVII/pjyIX+F44yWGT+8jwBnUNWb2B7waJHgV08Nwf+ofcbsemhHBZ8foC5yCdxIcjttOx6qFjptB0Blk9/HVgasodYfdUm2oCp8d73S8w1ofvMBBE247WdnQ7/E5cauiEnwwgVC2nm2zGN7MFgG2BB4Gnok1cFCvlF+/ZtYdt132yIY9hRcEKe8s/gbuTzoKGJ1Ej/2BI/G1QgNeaGSltiRcBUGtyWIE8+Edi+fBu8R+DByMJ/UNwosLroQLfTfLDvETcA9e/Glw2dp7QWAuvDjOdHiM4FvcL/QYcK+kV2p9jkGQk+7tJ1MqiDACeAY4oBUxfB+8cEgflXUON7PdgGNxv9AgXCj/coX48Ym4rzXnS7zC/F0dfrJBEARB3RBC+CAIOpwUfPkbLnjsgzsl9pD0YTJElWU8nwmsgGfq51Qrht8cuBrYXNKAELkE9UDKWO6BBzDnxq/nIbgAYBpcDP84cLqkB4p9xkMMDy6u3KS84ksQdCWZc29GvMJFUQl495Sh3wCQiVs2wbuCLJUOMYZxxfAtVYrsI+nn8s9we7fRvF3e+cDqeHLKs8DvJH1Vk5MPgow0B24CVsMdfh/jAZsfcYf3wXjVo3nTLk3AFZL2TPsXjr5iTq2IO8z7ZF+TtwNuAm4Ezle0Og06kewaLRfD/4jfe3un9wNwEfyHLTi9x1sMX36cIKhHKojhC34n6fY0pi1i+B3w1toAS0v6X+1+fRD8muyabMCv68Mo3b+LtfDWKXjfQ9LoKo/XJjF8EEwomNkUuLhxjbTpTdx/VDwT8uSoSmvibnjVvBOARYDBeFW8Nzvh5wdBVSRByx2UrvOPcVunKjulTOy1LV5I4f8orYGLZMIvcNHXvsDbrT1jgqAzaCXpr3z92hYxfA9gTFqD98cLfqyHV8k+UNJztTurIKiezJ6fB/hB0pDMf1S8FrHkpfF7Oum1ITvUxXjMuIipdScVuDGzLfHu42PwTlQrxbogqDfMbGq828Hv8Wv7fvx+/V4z4/+Mx4GLmMGPeIHAY+Sdz36VVJKSQ6YHhub6ikgQD7oCM1saT2LdEY8LVCuG7wWMTPf3IjbWC0+SWhJPDNlT0s1ltlPxvNkVuDyNG4NrMwC+ARbGi+fEfAiCIJgIaWh9SBAEQXUUgkZ8QbYmLs76Es9OLhfB9wfOAFbERfBf4oZwwfR49eDNk2FbkVQ5Zu4QwQf1hJxRwCp4y68ncHHLDXiGcndgVeAIM1u32CcJ6Ks5/gd4W7Ar06bRwP4hgg/qhex50CO9roWL4Ifi1+r7yTnRlJ4JloSMtwIn4s5q8OpefzWzo2GsYL5b2dcVzoqx139ygpOO35gqIl2MP3N64s+cnUMEH9Sa7L6+FCVR4sPAppLukvS4pBdxh/axeMAHfJ22u5ldAmM7GnRLz4oGSU/j8+oJvLpLsQ94p5BjgdNCBB90Beme/jCwYbZ5KtzZ/Qt+3R6c1gcNzTmdMxElkq4D9sOfI+BVk44GtkrCyHw/lR+nA04rCGqGpEF4stTJeECm4FIz2ySNaXatUMyVtBY4Ha+0/SGwhqT/VbvGCIKOIl2T3dP99zXc51NU6+2B+4pWKkTwrV2j2TX+I3AqcD0udASvmn2weTv4uOcHEyrDcftoJL6+7U9JBH94SyL4xCK4UHIRPCF2n0JUUPNfHgRVkK7dn/EE8GL9OjOwv5nN3vyeJdKauFgb3IR3HFkBv/YvxZ8PRwGbAhvKOxCO6dATCYL2093MpjGzzc1sFzNb28xWgNL6Nbu+x9r9aV19Ht5RGTyxcFPgAjObWtLoNH4RvAPCinjcYT48eTwIupwiBpASOwYAfzOzqTIfZyFy/BmPKz+Id/Uw3Nf5M17h/f+AfTMRfIO883hh7wxOr91xsX2sC4K6IbPLZweWwa/tQbh/9L1yu91KXY5PxO/vr6aPpsKrxG9dQQRvaU4ADC5E8PnzpSYnFwQtIOkl4CJcHzEc74y8AnCemS3cnL9T0ojsmi2u80NxEXwj8BC+hh7n2s7mxKf42vprfJ1QxI+3kTQ45kMQBMHES/eu/gFBEEw8ZMblkcBieABnZ0lvW9aSyMwWwAP0K+HOu2/wIP0HZjYSuDYdpxDDY2bNVoaXNLjs+4Ogy0mB/6/MbA2gp6TvzGwwLsLdEm9Pt2oai6QHigVfNQuwNF8uwwWP10p6p4anEwRVk2Xn9wf2MbO/4cJH8JbUr+eVvKDkqJA0wszuwx3YR+MVYLrjYngknZwJghvL9s2PNyb9ljlwx+JlwNTp44HAupLer9l/QjDJU9zLs/v574BZgK+AQzMBcFO6nseY2b9wm2gkXt0OXAyPpD3zaz/t+0ISfc0MrI0Lyz4HXlZW/TGqvQSdSWHLJHHjfWa2J3AJpY4F3YEBkj5J41u03zPxY5Ok65JfvKgMX4jhMbNfVYYPgnqg/B7c3D1Z0iAzuyn9+Sf83j4NcKWZ7SpPnmp2rZDNlRFmdgJwsaTPIlk86CqSbbMc8J+06Wf8GdALWA4XK05uZrdUsw7OxfBmdmraXFSGXwI40cxGSLqjRqcUBFVTjf2drQWK19Nxm35FvNhBN7yL2bXZbg1AsX5oNLOeuP/1eLzKdhNedOR+CLFLUD+ka9zwRL2rcPF6bzxx9g0zu1LSkGqPk65tSXoB7wzyK8IGCrqS/DlgZkvhPqGtKBVIGA00mNmVwD3A3Zl/qDG3jSQ9nOnDNsHXwlsB85lXCp4Gt6vmwZMNPwVWS7GImAdBl5Ou56XwbrGGX8fDzexUeWX4hmTXdJdXuN4MXy8sgK8fngS+k/R12XGbilczmxLYpvgIeBrCJxrUD9l1uBNeTFDAPyS9U+lenfn/myRdmZ4DfwHmxMX02wK3A4MrxCHGxsfS+3gOBF2KpFfN7IL05/b4OqAQw7dYGT7tX2yfO712Ax5Vy4XOeuH6iWHAvbjt9ZykZ8M+CoIgmLgJIXwQBB1GcmjPAvw2bboKeCFtL0Twc+GLtUIEPxBYWdJH5q0cb8BbEh2JV22pSgwfBPVGCvwXVesKYfwnZnZSGlK1GL7427xd9iiltr6S3jWz4xRtfoNOIrsWm3UUqFSB/X+4QwLc4QAejIFSBn+l/UeY2X/Tn4UYvqgMX1EM38xv3Ql3CK6HO9mHA+8A26mZVpNB0BFkwpQ5genkVS9mSR8fLq/yMnYOpbGWXh+j1OWgRTF82vcbXDw/Tjv5/DkSAZ+gs0nX3GgzWxQXrUOpY0FP4Cgz+w64TdIvlY5RdrzWxPCHAz3N7EaFGD6oE7JrtrxDQSGI+VWAR5XF8NPSdjH8cOCzYlsNTi8IquVd4L+4TXMjbo9vh/t5ViTZPOMpht8aD4b2wkXDQdClZML2qfE1wKZAv/Txj7gw601J38HY67qHpF+S8OsxvCK88HlyqZk9IOmiQtCS1gQz4ELI7YCV8TX29cCNqkJQHASdTbq/DzOzf+N+miWAGYD9gS/N7E5V0emyfJ2b4g6/srHCBgq6ijIR/Dp4V9eZcJF6QdFBc3e8o+zKZnZ0iic0J4YXLuLaMu2/DN4JaorsuB/hBac+b81vGgSdzPzA2+l1LlwISZkYvoinjcDtocfKD1JpvWBe7Xo5fC6BV4a/CcInGtQlc6VXwytVN+u3KfOHXpliDX9JH68F7AmcGtd5MCEwPmL4ZO834NXgwQtJfZA+61GukTCzPuk7JsM1FW+Z2Tv5nKrJSQZBEAR1QQjhgyBoN5nQq4dSG0bccb0rcB/wgqSh2fg+ePu6tfH2Xd8Ca8tF8N0LQ9XMBgB74+KWUZTE8E1mdlc1TvEg6EwqLZzSgm3stuTIs+SIrloMn73OhyeI/NfM/lvMg/IFXhDUCjObFfizmZ0g73ZQ0WGQEjZOoCSC3xyvAAnu3GjVCa2OEcOPwYUHBrwHPII7Bj+r8pSDoM1kgvYlcOHXu2Z2LKX58Dn82sGdBfObzOzx7KNWxfAVvl/hAA+6GjPrjld47EGquIKLtMBtn3Nw2/72KgUvzYnhe+FVwg4B/o0LzIKgS8nWybPhFXrXw5NAGoE7gRfVTGeajhDD1+KcgqCtpGt0iJlthwcgr5A02sxGAbvgz4KVsvHtEcOfgovKlgN+L2lgBDWDriS7//8Gr8y+CKWqdQVDge/M7HjgeUnvpLnRU9L3ZvY7XNi4UBq/GbCRmf0fvq79EhfWbwBMiT8jmoDrgEskvVbbswyC8UPS8+n+fXPaNCfuQxphZg+qikTZsuNVTDoMgq4iE8FvjK9RC3/QQOB54H084Wke4DfAgvg8mCnZ+82J4R8xs2HpOHunYxYi+CHA68D2kr4MEXxQb0i62cyagEPxQmqzUVkM31rXwHIRfDdgKeCvuO00DDhM0ocdfxZB0H5SwsZkwBzZ5ob0WUuVsHN/6HFmtgy+DmgCVjDvEDU67J9gQmB8xPD4NT84vZ8M2CatHUbnz48kml+K0nr63SJxNv2G8BcFQRBM5FjYRUEQtAcrVThaBK9A9M/cuWBm80kqsjG7JwfeYngm/oK4sbqtpAebERHfD6xT9rWjgJ2Bf8WiLqgHyiq8NOAt6aYEvgdQ1pYrmzOFsH124BhKYvgxwOPA6ZIeSPv0SIu4eYAT8Wp3DcDvJN3eaScaTPIkIddLeGLSjcChkr5pIUN/XeBAvDJFT/z+3RO4XtKO1QpUzKwX7tgrxPDgc+Uvkk6rYv8dcKfHHcArkn5q/WyDYPwwsznwSo+z4PbOQ3ilrmmBuVRFhcb0TFkVOIKSGB7gMkl7pjER2AzqGvNKRdvi1Vp2w8VgT2dDfsCfFVWJ4dMxc9trB1z01YQn1w7ouF8fBO0jE0H2x6/PefAk8Cbcjh8G/ATsC/xX0shmjjMdPn8KMTz4GmNXSXelMdHmPahrCl9Qhe2nArvi62CAp4DzgarE8OkYxfq6L1AI4yt+XxB0Btk1uTDeen32CsOK69rwZPEBwMWS7k3HKJ4h0+OJU0tRqhpc7G94YlUhrGwCTsUrwb+ZjhPPh6AuKbPl9wPOyz7+EDgWt4+GdMHPC4IOw8zWxp8F3fH7/bN45d6vCvvfzFYGTsKrWBf399vwTpZjcp9P2dzpB2wEHIz7ad8BHgSuSglV4SsK6ooygeI2+LVbdBX/Au8SXrUYPrO5+uG+0z/hibHDgUuAv0YMIKhXzOwOYJP053GSTqhy/VusE/YCLkybBwNLS/qkdr84CDoeM1sc2I+SGH4E8AzQWmX4g4Cz05/v4+vgf6pUaLMnLoA/BY+pCVhT0q86jARBEAQTL1ERPgiCNpM5GhYCXsAzL/uY2YWSPgbIRPCWBSL/govgR+GO7ifT2KbyY+PV4sGrqa6HiwZ6Ap9GMCeoBzJB+3zAasCOwLx4MH8I3u73ZuBpSfekOVMkhbRUGb7BzCaTV3scbWbz4ou2NfF50AS80aknG0zSJOfBMXhwBdxRN6OZbSXpx7KxRZWiB8xsNG5rro7fvwG2NrPzJL1QjYNPlSvDNwGnpP1PbeY3F7/jerw9fBB0Jn2AV/FK1dPgc6YBF7EsB9zfWmBH41kZPgjqAUmfmtnl/lY/A8+a2XrA/WnINHjXJ6yVyvDZfV2FPSXp+lTR5SNJT1ebZBUEtSJdg4UIfgAlka/w54Dwqo1T4CKXv5nZNZI+LT+WxrMyfBB0BWY2M+7z2Qg4PK19c+FLUd30KL99jxXDV1UZ3rwQw3yS/qNSZbyh6bPc9xQEnU66JucBbqckgv8ZT8oegidFzQcsnz7rg9v4i5jZMZJuTM+QnpK+M7O18I43a6R/4CJJcBH8t8BXwFHA45JGQIjgg/om3d+LqqYXmNmUeOEPcJ/qycBsZvavSvZREEwImNmSeOyrO96x7Ha8oMgQM+uR2UaT4WviMaSqwHjBqRvMbHuVVYYvjp8SRa43s/8A3XLBb7Ee6YTTDIKq0bgVrW9O64BCDF9VZfh8Wzreb4A98HXHArgI/npcUB8i+KDuSP7LBmBQtnlXM7te0ket7Z/d2+/Dr/fJ8DVB747+rUFQa9TGyvDZ+wG4YH4FYH78WbKEmV2Nx6DXAdbFu9I2AidKeizWyEEQBJMWIYQPgqDNJEfD3HhV4MnS5v/DnXTjVODKjNRZ8CqQTbjx+VAzYpdC6Ds0/f1PPKPzMWANSc+GyCXoarJkkOWAf+DtS6fNhsyYXv8EfGJmm0naIxPBF4H9SmL4lYF5zFvcvYdXA54HF8wMBlaW9F7tzzIIHEmjzOxWvNvBNnjA/oNyEXwam7fsfTQ5tg1PFumR/p1iZntLer8dYvgjcCFxIymZqpl9wqkRdBmS3jKzI/AEwA3xOdOEz4Ulgftbs2PS3GhODL+LmU0uaccIcAb1jqTvYWyXA+TdoNokhrdxq30NlzQyJQ2OlPTPfEwnnFIQNEu6TmcDrqXU8el74Grc/zYvntw6Jf5MOBaYyswuqWTftyKG/4Oku8PmCbqSssDkMsABeBLsbMC8KXF27L05T+KrUgyfV0LtD5wBrGlmJ0v6W9mxYy4EXYqZ9cbXq/MBvwDP4xXt3sjGTIcH7U/B/UhTpNcLUrLrjWn93UPSL2Z2Mu4T3QiYA1gYF8D/BNwD/CBpYBLWADEXgvqn7N59spkJr4oNPh8OAxY1s3MlvdQVvzEI2ouZTYPbNkVC1H3AIfLONT1Uqli6JnA8vj7ojq8ZitjC79KYccTwFb7ul3KBWKyJg3plfMXwKiXWboavi08EJseLkAwDLgLOlPQtQVCHpPt1o5ldh3f/6437RLcwLzLYaqdMM+uB+5mK7svdCSF8UOc0FwNuixi+2F/SK+YFCGfDba1F0r9dKOmVeuKxuOuAW9N+sUYOgiCYhLC47wdB0FbMbDI8ELMfMBrPwPyTpFdb2Gd54Ak8Q/ltSQu3MLZfOuZiuPPiCDObLgkBQuQSdCmZkH0VPPDYJ300FG/F9T0wS/o3dbbrI8A2hSCs7FizAUcCW6T9KvE1sLaktzv0hIKgBcrELasAf8U7c+yajSnaMubVHvP91sDFW4UY/ifg38Dxkj6uNhvfzHoBmwKHAkdKGhDPhKCeMa9a+mdcuDJF2jwM2FzSw1XsXzwjGvCOIUdQEsM3AQsqdeAJgq4kE6objJMI+6uAfXZdr0NJDA/wA3AQcFse/MmOPQNwOu7U3lNR4SuoM7JrdTf8Wp0CeAA4SNKHaUwfPEDzLzxoA34/Px+4qJIYPu03HR4oLcTwReL5lpLurtEpBUGL5Pd8M1sXuACYFQ9eDsKv0+0lDaiwby5wP5WSGB7gKbzV+03Z82RhvErwirhI7Pv/Z+8soyM7jjb8lJa8ZmZmtmNmZooZYkgcUxzbcQwxMzNjYmZIDInpMzMzM7PX9hoXpff7UX09rbsjaQQjaXfrOWePZub27Zm7p/ve7qq3qoBZlbLBB0FvwMymwgWPCwFPAdvJg7/7AE1prhTroHnxbO8b4GNfwHvAnpLuTP3FXjcYazCzv+LPkYJhwDe4SPJ2VSoeREW0oFeS7QWWwJNHzQK8Bqwg6XvLkkclO+mxwMK4iPdp3N7zV2DzrNt/42up1sTwQTBaUfIfbEFFDA/wKXANntV9FDG8mU0N/BdYLOvyRzyA6vrYGwSjA+ZJBi8Dlk8fvQbsLOmJGs+fGXgFtzm9BSwRYz/ojWR+476trWXMbCFcb1SI4YfiWd+bieFLPuf9gD8C86RuiurkRYD4RcDFkp6q60UGQRAEvZKGtpsEQRCMQn/cAdkHeBnYI0VutnZPGUbFYT/QzCYDXwjnjcysL7A2MGU659l0aDA0zxoTBD1B2nAtjhujx8cF8I/gGexWlbQmsDiwG3BJcRqe/fFOM5ux1JdJ+hQ3gJ8DvJ4OF2N9UOp/5RDBB91NMUbT60eAXUsi+PnwrKTTFpldqpz3AJ7x7kE8W8WEwPrAIWY2S962jd8yFDd2rxMi+GB0QJ798Rg8aOqX9PEAYL/kHG3r/OIZ0QQ8jAchFpUQVpb0bi1zJwjqRXafL+7F/YGpk9g3L9v7G9m4vgdYMzs0KXAGsImZjZf6L8QEU+ECyLXwyiTXtLHvCIJuJ5sH6wATAx/i2R/fS1m7wCsaPIkHBz6fPmsA9gB2NS/vXq3vQcB1+HrqY9y5Uy6pHQTdRp6Vy8zWA27Ds2APxIPDtwWWqiaCh0pm+PT6AHzfXIznZfHA1wPNbFwzWxavwrYiLoL/EFhM0k+xDgp6kmIMF+sePHvdQng2+L+pUgGtsXDYZ+ug14Gj8Qoig3CH/czADkkcU9X+WbahBsGYgqTzcAHwc/gcGoAHDd4InJ3Ekr/tL+L+H/Q2snv2cbgI/lNg+ySC75eJ4JcDjqS5CH45SQ/jlZGfSf004ZnhiwrMjfEMCHorhX3GvDpOq5T8B9cDp+PzAPy+vzVwgJlNnLdN7b8EdgA+w+2s9wHLSroohMBBT1Nem7S0VpH0AS6EL5gPON3M5qnWvtTnAGArKlng3wZGxroo6G1kIvgFgXvMbOaW1jLyJJvn4IFQQ/D1UZEZfr5SQHnx/DgJOCCdNzR19R0eHLItcEQhgo/5EQRBMPYRGeGDIGiTbMHaT9IIM1sX+B8uaFxW0nN5JGYLfcyGGyamx532p0naNx0rokEb8E3fqcBquPh98SKDXhD0BsxsBuByvOT7UOBWYC9JX2absCKrxVS4AHJ+XBwGsG6R4Svrs9jEjY87P/+BZ9P7FRf+3i7pizpfWhA0o5SpcZR7vJktgAcr9QOuJ5sHajkz/AG4iKU/bpi4FThG7cgMHwSjG1bJDL82MAF+b78HOFbSs62dm87PDX3LA4NSNowIBgl6jEykPgWevWtrfB0/G/A1nsHxAeCO5NQvzmuWxcXMVsOzZhd8BxyUzvvUzKalIoKfEs/wsnreZxD0BpJjZRLgSVz8sp6k/yvfq7O99Ux4YO2i6VAtmeEnw8v9/h3YNgIDg57GzNbG97sAP+D3/R0lfZe1aXGNX9pvHI9n9Jo6a/Ihvj/O368o6RPLMqsGQXeT3csXwKv7nY8HavwHF/KuBvza1v05PQuOxAXA4wA/45Vvro37e9BTlO/baT87PjARnrTmYaBBXZSlumRDWgz4PbAjMFXWbAjui7gUeEHS1/n5eJxJ2JOCHsXMJsADV/8KXI0nE/k5O74gnixhFWBc3Ka6oppXRDsCOAxPKNWQ/uWZ4WP9E/QqMtvQSsAmwAWSXqv1vPR6C7xSzuLp8Od4YEhLmeFnw/1tj0v6pksvKAjaSZXxORm+N6Z8vy75yo7H9xEFT+PVDV6Q9IuNmk3b8CCqM4Hl0jmrypNQBUGvI+2Vn8YDXJ8AtpL0cUv7B6s9M3x5zk2PJwz5BRghaXB2LHzOQRAEYyEhhA+CoFWyzdbvgFPwiPsFgVtww/caeInfNg1wZvavdH7BicAhqf+BuKNod2B1XAjwN0nnxUI16A1kRr1NcJHK1HhFhHUkfZ4dL/72x4Vbf6DizN9e0uU1fl8/SSPqcS1B0BJJcLgbLk4f0opRYlzgAmCb9NEveBn4PUIMH4wNlO/5+WcttO8SMXxL74OgO8n2B3PiDpj58GBX4RlNm6hUnxNe9eYWSc+n84v505IY/gfgMdxYvjkughwXFwOsIunREIcFvY3klJwKeAEvUb048Ha1e3VJDH8jldLutYjhJwf6Sfoi5kHQk5jZ0sBN+LgfnF7vm8QqNQsjS2L4g4Et8ecK+H2/L+4AfQ3YKAVJdVp4GQSdxbw62nP4vvYK4FtgL+A2SRu0o58F8AQIM6WPXgeWVmQ2DXqA0v52I2BVYBd8bV9kU3wEr/h3hjzbdVeI4XO70UBgVjxL8KzpX7HP+AK3I50GvCfp4VgPBd1NFftMPm/mxIWMd0m6qWiPV8fcHxfJTwi8CKwp6RvzCsmNaW88AK8cNQ++N7D073pgu/AVBL2RZO+/L709CxfDv1nDefnc2RoPApkjHW5VDB8EvYHMtjMzbr9cDZgW3x9/gs+H1yX9kNobrs1qMrMJgZOBnbIu38TH/fXKEgSa2TjAMngCtTWBRuBESYeEjyDojSR9xFHAftnHzwKbdoUYvv5XEARBEIzOhBA+CII2MbOFcSP3eLih+xK8dNfNkjar4fxC7DJzOnel7PBL+KZwSjyD3tS4ke9CfCP3cddcRRB0DWZ2J25s+BFYS9KTLYjgj8fL1I0igm9DLBlix6BHMK928BQ+Zs8F/iFpaCtGiVVwQ93muFMmxPDBGE9+n5c0PGUh+hn4uq1x21kxfBD0BrI5MB9wGxXRVmP6NwTPFlnmLuASSf8u9VOI4VcFbsazTYLvBwQUJVMHA+tLeiwcoEFP09IYNM9I+iAwi6QZ2uijw2L4IOhpzGxSvAT1Rnh2r5uBP0v6odoeoKX1ffYsyMXwmwDrA9ulZi/h8+p4SV+HCD7oDZiXdL8Ir2JQ8DYwJ/AGXj1zcA39FHNkYzzjbxO+5llH0tOxNw66k9L9+ww8M3ux1h+Jj8+i2uUwPBBk466+N2fzYnw88+kWwAa4sKzYGwxP/17C99RHx1wJuoMkYiSN0XklvZ4+z+fP5JIGpdfFmn8hfE88FfAunuH92dJ5RTXmW/G10CBgciqB5v+U9JfuveIgaJk0H/rha/WlskPnAud2QAx/MHA0zYOfriTE8EEvpGQf/TcwA57EI08O8iNezeZGSY/n56XX0+O+gp2zrofgfrar8UQh3+H+6NnwvUYTPi9Ok/RKXS8yCDqBmc2LJ8f8O5WA2hDDB0EQBHUnhPBBELSJmR0OHI6LW/rgTpmJSVmOrMaSjMlRtCoe2b8MvmH77XD61whcA5wn6akuvIwgGIVax27WfnJcKDwz8AEe1PF5DSL4P0m6IvXxm8G81Hds3oIeI2WVuBgft+D3+euAvcti+JKofXngb8DGhBg+GMPJHJiz4ZUTlsKr5HwPvI9n6LpP0lutCL5CDB+MtmSilDmBe/Es8MOBr4AjgE9xJ8+suJNmDSprIXBj9/mSLi31V/xdBjgVmJuKmP57PDPqXmWhQBD0BNmzYHpgWbyaWQM+9t/HRSvLAMsrVUGooa8QwwejFcmheS9+j/8YWEzSoNLaP389Me64XxIXdL0OPC/p/ewZUC5vvSAusn8H+DUFIMYzIOg1mNlU+LplAyqBfI34emittCdoc8ymIKqZ8EyqM+LPlH0knV63Hx8EJUr37BuATbPDw3EhfL/0T/hapQ8e+LFyEsN32T26yjNhIWB2PBnDtMD86dAIYKFaxJZB0JWY2e/xQMCtJV3bRtsBwH+AdXAb0MnAKZJ+KbUr1kSn4aKx6/D5tx3wJbCUImlU0AsxT65zNbBc9nFHxfD3Aqtkhz/DK++cIun7rvvVQdBxsvv13MBDwBStNB+K20NPknRbOj8f8wNxX8GBjFph00p9NeLBuJeFfiIYHTCzuYBdgT0IMXwQBEHQTfTt6R8QBMFowTH4/eLg9H7c9HcFM5uzVud8cvI/gAss98ezh/12GDeqHwncKunVrvjhQdASZjYPsImZXS7pkxpPmxaYJb1+S9Knqa9CxNKWCL7syFkT+FnSY7FpC3qSJHa/Ca/MsRYe7LQlgJk1E8PnokVJj6TYDnAx/Hjp/LPNrJkYvnTeA9l5KwKT4tnGMLOjJX0YxoygN5HGcWMSst+Ci1SKvdRAYDo8W90naew/UK0fSa+a2THpbSGGXz19R4jhg15Nuo9PhQt0CxH8fXjQ1FtZ06fM7BZ8XlyBCx8NF/nuamaDJd1c3OOz58PjZvYHYHFcRN8I3A08k4zjFgLIoCfJngXz4Rm4ZsbXTAU/AhOm13MDz7e2nkl99ZH0kZltRkUM34A7iRrN7GJJb9TnioKgfWTjudjvDgOuSSL4olpOsd4vHPs74Gue9WieSXiwmW0l6cFq4klJL5e/P54BQW8hjdmvzGwvfE+wPr4nKETtewC7K6t+01JfaVx/YGZv488V8CCQIOgWSmKs/wHr4kKsRuAM4Ek8g/VcuEB+c3ysNwLzANeZ2caqoQpCrZSDqiS9BLxkZnel714Dz7x6b4jgg+4mJfe4Ob2dN33WWiCI4ftn8PF7R1kEn7UTHnACLn6/CV83HdeaYCwIugurJIMqKhg0SPrEzLbC97NFZvjdUvs2xfBqXiHqNVwIPxjfa0+HB4YMN7OjwlcQ9AYy++j5uAh+CPAJcBS+NxiIJ4GaMr1eCjg+7ZlvUpZYTdIQ4GAzewPYGlge12AYFWH8MFw/cQBwu6QPIZKrBb2fFBx+fnpbiOEXA/5tZi2K4SW9ZGbnpLeFGH5p4Kzke3s9xn8QBEHQEiGED4KgTZKD/nA808sBuPNyGO6Y2cTMzpT0a419jQCeTudthG8EZ8czyDybOztjERvUCzNbAHgBNx70NbN/SfqshlNH4I4egClTRhckDWuPCN5cATwZHuX/mZk1SXqiiy4vCNpFJlb5j5kNw9eHq9EzYvh1gHHN7MDCoBcEPU0hvk0ZLO7BS1mDG6N/wcXsSn/nBe4zsy0k3VitvxDDB6Mj2TpmCZKzH8/M9XdJ72TO0KLdMEnvmtk6uGNoPfz5sBiwg5m9oyzwNRPFf4BX3bmh9P2xLwh6lOxZMDceADJllWYT4gEi/YETzezVamLenCpi+H8Di+LOzr2BBjM7SNLQLr2gIOgA2X24sCcPIGX1SiL4QgzfH8/WuyteCjvPbFecPxVwm5mtkQKh4j4fjDZka55vzGyP9PH6wDj4vmALM3tS0lX5HrhaX8W8we2sRebHidOxmBdBXWlBBD8CeBs4QdLVWfNXcNHKa3iGxslxG+miwB/N7CwYtQJmZ6giLB6SPvtPV31HELQH84rHS2Qf7WVmN7a05k8+gNnwaoIC3sMr44wink/Plhnw6moAgyU9amZPJcFxuyrbBkF7qbbusCoVn1IwyJrJL/xF+vyzLLi73WJ4KtXDiyDw1/Dn0Ur4PuLaWBMFvYFsnvwOmAO/t9+P20ffy9o9AOwJbAhMgydLOMbMyMXw4Pd/SVeZ2d14IrbN8SQ8RRWe/wOeKM+jmBPB6EAXi+EXAy41s+0lvd5d1xAEQRCMXoQQPgiCmkibskPS2wOoZCfaDt/k1VyGKxNS3lzl2G/GltjEBfXAzCYA/okb0PoDOwN9zOyCGsTwXwLf4VH+0wNTyjNeDMQrJ7QkgrfMYFiUzZsXWCG1fQkv6xUE3U5JnH5bJk7vbjH8MrggZhUq2Y+CoMdJY3ZS4FR8jP6CZ8Q7EH8mzIgLBjYEJkqnXW9mA4vnQJU+WxLDjzSzUyU9Wa/rCYKOkDnot8Uzcgk4OBfB5+1Uyeg12Mx2AS4gPU/woKfHgKoVoPL9QPa8iH1B0KOkZ8F0wOW4CL4R+AbfV0yCB/RtTSXj9eTAIUnE/m4bfedi+E2Ba6mIB24OEXzQCymeCY3APGY2t6Q3kwh+QjyIYw0q47gBz5D3E55gYdb0d1zgcjNbQdIX3XoFQdBJWhDDr4eP68mAP5nZV5LuaU0Mn+bNeHiSEMMDqp5Kx2L9E9SNVkTwrwNHFXb7TPhY2IKONrO+wKH4/X0CYHVJZ9b7N1cRxgdBt5LW7dcAf8OFjeMCO5vZvngwuErtZWY/AT/gQbPz4vbWW9U8kBwz64eLfsfH11rvpD5GpL8hgg+6BTNbBRf5npbGaV+gKb1eAQ8MB/jVzM6Q9GN6RnRWDA++n24C/ovvH5qAv6nGquRBUG+y+/xGeAXxz4F9Jb2XgqWaAJP0tpkdC3yNB4dPjwvny2J4y2yfX6f2VfUWESQbjK50kRh+M3wtNR9uTwqCIAiCqjS03SQIgsBJRrlDgBOyj+fChY6ztKOfZgtZy1SQsYkL6o2kn4CTgBfxjPBT44aIvyRxS1VSdL4B36ePpgK2N7OJgCNpPRP8b+M6GcCnT78B4AsqmS6CoEcoHPPp9W3AWcC96fDEuHjxNDMbpxBrVTnvkXTeTbhAMhfDT63mWS7y8x7Aqym8DAwFtkjCyt+eDUHQU2TjcHYqWbAfAzaXdJekpyX9G9gf2AUYlJ1+mZlt11Lf8mzYxwB34sKwcYFNgH+Y2fhdeyVB0DmSX2YKPMOvcJHWp9CyICU9Lxok/YhnBX4hO3y0mS3Vwnmq9joIeorsWbAm/jwYjmfkWkHSEZL2lLQtLoR/AReRDcBFLoeY2extfUcuhk/9PA2slIINw3YX9AqyuXArXr2jDx7cdKiZHZJEYM/gwYLFPf47PIBkXWBxPHDwQCrZr6fEs94FQa8j35NWuxfnYnjcoX8bHjQLHuC9m5mtntqq2EeXvqMBD4idNH3UiGdBDYK6URLf3kZzEfwxmQj+t8Qexdo+vT4c+B+pKgieGXihsOMEYzpp7nyC2/VHpI+XAwbkts4cSR/j93XDBZLbmdki6VgxD8cBlgb2xf0LnwEP1vdqgqA5aQxviPsE9gT2SHvUkWnNsyLwQGr+CzAPqXpytp/9DBcr5kLe3fA10dzFB+W5kr57MjzBTgPQX9J1wMaKrL9BLyOth6aikiTkrfR8aEyC9mLt9DmeGORfuA21DxUx/MapzSh2z/K+I/OjhY006BVUGaNt2i0lvYVXjT0bnztQEcPPmPudS+e9lM65A3/2rCfpldh3BEEQBC0RzrQgCNpFC2L4xYBrzGzmDvYZm7egW8gMBjfjmYvepEYxvDyT9Xe44aJgQ+AyYBtaFsE3E4eZ2bi4QW/G9NH7QGT+DXqcHhbDPwgcDCwh6cFyAEkQ9BTZONwQmBn4Ci91+k4SBhfj+WtJN+ClS7/OuqhVDP+/7OPTJP3cdVcRBJ0nzYXx8ax3hjs7B9dwXpE98gfgT/gcAl9/LQ6jOkCDoLeQOxvT/X5DPPv7+8Dekt41s75Zu2uB/XBxwDB8/bQ+7RfDf4CL7B+utp8Igp4iWxe9jVcG/BGvNroFcBRwLO7YL6o7XQ/sKWl7Sa9KGpKcn9fjQSNNeCbhNudHEHQn1cQmmVjRSm3KYvjbgWItvwFwsJltn9o2pnP7p7/9gAWAv+JimkbgMHkGyVgfBXUjG8+34AFNI4GPgEMl/ScdGyXraLG2T2+LjMCFGLgp7DjBmE62Ln8Wz/IOsCBwUDrebA5k8+VKvJpUH9xOerCZbWhmk5jZQrhQ+Bz8mfAdsL+kLyIgNuhOzGxW4JT0dno8ocGe6dhS+Prf8DH6H9w+WgQAlsXwm9Lc57UbsLuZzZ/aNgsQTK+XSd/biFfiBE8cEgQ9SnEvTr6AYo0+Pj4fPodWk4R8hVcSbFUMn6/9y33F+iroTaT7fJOZzW5eBeS3PXFb53ZCDP8yrktaJPzHQRAEQVv07ekfEARBz1LNqF2lTTPne1rQHpLeHpD+Lglca2ZbSfqwPr82CDpHYVBIUfm3J9vC8cDcVMTwmNkFyWBXjSfwLC7zAQvjmS8GpGPbSboq9WFlg0XaCC4NbJ++70dgj+QwDYIepzRHbsvsb6tREcNjZntLGmqV0tj5eY9k521MczH8HpK+LJ4rpfMeTH2PMneCoBcwIW6cO13Sm9naqCwMeNDMNgduwDOcgovhKYKkykh61cxOxoOUz5H0eAgfg17Kj+nfRPh4nQja3k8kI7YBH+JZ7bbAy11vYGbnqVQtKgh6A8Uax8xmxDMygq/7h+HC3rfT2B+Z2hfrmfvMbDgu8F0ZF86vn9ocI+ndUb+tQjYfRqT38SwIehVprA82s6NwEfuKVAS8/YBf8SpPBwH/lfRlOq8PSSQp6TMz+wBYInU7ovw9QdBTFOtwM5sKWBS/l/fHAwBvA94BBhdBUmlf+5sY3sz2SF2tgwtkVgAWTwKyS4FXgOFmNim+X94Szx7fBFyRviMEL0HdMbNr8WCNofj9+xvgkxpOLdYmr6TXffHgjx/r8DODoFci6TEzuxzYJ320tJnNJOmjfH+cre3vwqt/rIVXA/w9sBHwFi78Bbef/ogLJh9O58deIOhOPgAuBLbFqwHOBfwpCeR3pSKCvwPYT9LXVXzHv4nhk0DyRiqVov4KjG9mV0m6NwsQHBcPAjkQmBV/Hj2d+ov1UNBjVLH/jwuMkDTczL5Jn39ZajsKkr4ys3+mtzvh9/1CDI+km3I/WV0vKgg6QRqjjSmI72Hgy3TPvy7bE7e6dpFXUDgf30MUz5ZCDL+ppI8Lm2z2nUpi+PAfB0EQBG0SQvggGIvJnDsTApPjJeumxEUtP+Hl657Mhe0lJ0+I4YPRjs6K4SU9ZZ4xaT7c4VNEJx+ZieD7SRqRXlv6zn7AInimvIXwEl4HSnqxflcbBO2nJ8Tw5e/vjusMgpbIDXZm1jeJHKfAjXKfQuvOSHkG3/aK4V8ysx0l/Roi+KA3koTsDbjAEWAcYCcze7pY87RGurf/ZGZ340J48D3HgKzPIOg2cqdKlWOFY2dB4DE8w/v2uDBlOB7UUc4UXF4HFQuhdovhy30HQXeSgrdVjGnAkv2nGN+F+PcTM/s7LvbdCJgUnx/XAk/n+9xiTmXvZ8YDxBvwQJOnu+nygqBVsiCoeYCLgDmBybImBwA3m9l1km7Jnf0lMfzfUvt18b3wOLjoZRM8g/APuB12knRcuPDscnmWvCDoDo7FgzCmwMfgksCBZnaupEdaEmRl75ejUnH6I2BY7GWDsYFsnP8bDyaZA58PqwCXVlvHywXyh+L732Xw+39jOtfSvx+AS/BnwefdcS1BUJD5ik/Bg1R3xv1l8+N+sEIE/z/gIFURwRdoVDH8DfjaH2A7YDEzux0X1DfhPoM1cd/Zz8Ah8ippQdBjZPuCmYEtzGw5vFrsYDN7Gh+rho/bV2oQ/4YYPhjtSWN0KuAaPDHCOMDe6XlwTTvF8JcBs+DPgEZaEMOH/zgIgiBoLyGED4KxlGwTNxtwCG7snrvUbCjws3mmr4ckvVLFyRNi+GC0o6Ni+GzsH2pmcwCbZ90uZmbb4Fnvfix915S4MXwvYHFgCF4K75r6XmkQdIzuFsN379UFQXWy8dgANJnZJMBAvMTph7hzxkptq9JBMfyv6W/MiaDXkYzM36RgwP3TxwsBv6MGAWPmyPkq+7hf+hcE3YaZTSrpu8w5P4oYPq1nZgSewcfo2sBVePavT4CPq/VdWgc9nK2DOiSGD4KeoLQO6asU7FQ4G4vsW+nvl7hg65Jq8ykXz2efDcD3FOOljz4Fvq7jJQVBTaT1faOZzYdXsCkE8MW47oM/EzYGVjWzmSWd0YIY/utMDL8e/vwQHjAyMRXx8I/4c+Uw4G5JX6TfEgKYoK6kgO9XzWwF4FF8vBuwqR+2JkmPlQVZxWvz7L3zZF1ek54JQTDGk62VXgTewIWMAH83s4ckvV8+J82dN8xsTzwwfAtgwXR4ML4WOhh4IkTwQU+Qr2fM7Bw8MONwYMbUpBHPGH9gsun/lgiqhf7KYvhL8CCQ8YF5079dcBGl4WusIcBleJBJEPQY2b5gfuAmXLQ+TtZkWSpZ4lc0s5sk/dRWv62I4Q83s/7yrNqxBwh6O78C9+DBfbPiAva/J79Xe8TwzyY/w9q4ZjEXw28iT77QYhKTIAiCIGgJi/VUEIx9ZAaN+YBbgJnwRWZR4quJ5qKUX4GHgHMl3ZH3UbwGjqEihgfPJh9i+KBXU3LmrAOcgIvh++Il7S4GLpT0aXZOEUTSH7geL2Va8CXwJnBeet0HF73sBsyOz7UhwJXA4ZJyMVgQ9Bqy50Q+R9YD/oYLV8AdNdcBzcTwqW1+3vLpvI1xw/b3+DPiz+EoDXoLpQDBPfBMRXPiRu4r8ewUqwL7SDq9Hf2uQHMxPMCfWhLDB0Fvx8w2wh2T4+P39IuAXcoimSrnFaKZlYB7cQHYA8Bq4eQJugszmx54G3hA0rrps6LyR7nt4vged/X00RA8OOpXYBmlkrwtfE++DloB3yevjDuJvsez6IUYPugVlMbrDHjGx11xUeS0wCv4ffvfmUg3twc1u/e38SzogwtgzsWzSw4C1pP0dAh/g95ACoK6HZ8HjXi1zNvwzKirAhPiQvaCQyQdl87N98PFfnoK4Gw8EGpgOudhXDjwIB5wOyT2xUFPkO2B58TF8JOnQ0246OtMSY+ltr9VCEnv9wDOTO3vBnaWZ26Me3kwWlJt7Laxpsn9a/cCU+Hr/O3kSXdaDBBMvjQDFsX31Z8CX0n6oQ6XFgTtotgfJ9vN3TRPqPgucBpwsaQRtQgds2fNFMBBwBo0D6QqGAJcAJwoKYJkgx4ju1fPia/Xp06HCu1En9IpPwGbSLq3VtGueUbtnamI4QFeB1aU9G0XXEYQ1IVsfkyA2zq3AWZIh58FzpB0TWrb4jOiZId6CFgen2OGz7N3gDUlVU1EEgRBEAStERnhg2AsIzPSzY0bMqbBF5df4iLgT4CReFnUffBN3iS4AGAqM5tI0rX54lWVzPACDkwfLwlcZ2Zbhhg+6K3koi1Jd7hf5zcxfJ4Z/jcxfDLcmaThZrYFLgbbMnU5dfpXbNpE86CSn4GzcGfSN3W/wCBog+yZMAGe4WUn4HpJT5TF8PLM8MW4Xp1KZngzzww/xFrODF+ctz7+TCnKAIfDP+hxrHn2xztw0Vcf3OjWAOxIJRPkrmZ2p6Q3a+lbnhF4M+BGKmL4i8xsgKR/demFBEE3IOlmM9sKzxYJPj++xbOCtSh6Sc+FcYE/UMmC+kRbAvog6CrMbDLgJTzAaW0zu0bSH6qJ4AEkPWNmh+LZejfBBYzD0+FFgZdbcnKW1kEPp3UQVDLDbwA0mtlJkt7q0gsNgnZQJWjjILzSxxRU1kEz42v4DczsTtyx2WTtLFNtZuPjmfNOwEXwPwCn4kL7KG8d9CiZk34rPKvdUDxgb59i3Z9E8hvia5/506nHpLlwtLJKI6pkwfsmCYaLvfC4wAp4hZyHJX2Q+o5Md0G3k43Zt81sOSpi+AY8kQHmmR2LzPCkz/5MRQT/Fh74/UnqM+7lwWiHWaWMk5nNC/SRV0Yu1kijCLmy91/iFdIKe+dBZna3qmTKzudHuuc3q6xWi6g4COpNEsHPA9yfPvoJ3xdMhCd62hMYaGbNquK00l9jtiY6BLgaX0stB8yGV1v7Hs8+/4hStcwg6CnSmmdKPNnZ1HiQxmfAcen13HgG60Vx/8EEwA1mtoK82k6b63pVMsM34lU3JwD+EiL4oLdTBPRJ+snMTkgfF2L4mjPDl/wBhVbibmAlPInIXHg1tRDCB0EQBO0mMsIHwVhIyvL1H3xR+gvwCLBX2QlvZlMDf8cjkyfCIzG/BZavJgBL2SyOpiKGBy8PuW6I4YPeTEkAUGtm+PycQ/Fy14u38BW/4I7+PYD/C4Ne0BvIMrLMDOyFi7PmB74DNpL0SNY2H+/r4hneiwypg/HqCM3E8FXOWxYX16wOrC7poRA/Bj1NlsViDuA+KllYRgLDgP5UApqGp8/OBM6SNKgd37M8zcXwTcC0iixHwWhE9tyYBrgZWCI7fCJwWOHwz9r+FlSFB8qejTuLRgLLSnqmmy8jGEsxs1mBfwKrUMky9FdJF1Rpm69flsIDxDfJmjwPLKdSRZw2+lke3ycXmeEFXAHsKmloF11mENRMlT3wFXigawO+fx0Pt/9Mlp32NZ4leI9c9Ful72bOTjObHQ+g+iPu0PwRDyg/W9J7XX91QdAxzOxuvALai8Dmkt41r2TQlAX1LYMLYRbLTj1c0tGpj5Yyw58FrItn/wW4Fd9TPJDaxt446BGs7czw50h6OLXdASgCuj/D7aXHJOFkjOFgtMa8+tm1uJ3zROBeSa/UcN6G+FwhnbuzpH/HnAhGZ8zsBnz9fhVeVW0LvGIOeBDUP/EAWZXX/i30V64iNQleaWcQ0CDppzpcRhC0i2ztvjZeAXNq4E7c7/V21m4RfH7sSyXp6Pe4neiNWoNckwZjB+AeeZW0CIgKRguseYK1DmWGt0oFkgtwHdIeuL3oL4T/OAiCIOgEIYQPgrGIJFRvwBele+NOzqeBbSW9ky1c+2UilpPwjdgkqZv9JJ3SxneUxfCLSHqxq68nCLqSDorhcwfnAsDCuEhmWjx45Bs8Yvku4P783CDoSTJH57y4k2c2PDvdULw8+xWSjiqd0xVi+OWAb5NBMAx7Qa/AzCYFLsUzeP0KfAAcgou95sCzl+6UnfIJcCxwg6TB7fie5YB7cAHkypIe6orfHwQdJV/749mu18SzEI2HB308AAxWVsUmrfWLyiAnAwtkXV6Br5ceLTk4BwALAUcAa+EZjw6WdFIYtIPuJAm8jsXX65dL2r50vKX1y1K4g3PjrPltwMbJadMeMfw/8ABa8GCQJ7ruCoOg/SQn/+3ZR28BRwKf4nvZzfAAjnXSceHr/m1bE8OnvqcElgYOxatPTY7vGy4FLpL0RpdfUBB0gBSwNw2ezGMgsIqkR6utU5IwfgngDJonQ+iIGP4WXAz/YPE7Yl0U9AQ1iOEPxYNaL0uff4Fn9T1Y0oiw7wSjO2a2HvDf9LYImn0JeAb3dQ2WZz9t6blwJZWKsZdI2rF7fnkQdC2lNczOJNunme2F20bnTk3bLYbP+481T9CbqBLI/U+8csFHwJry6jkNUKkIkva62+B+5M6I4QsxcKylgtGKLhLDTwQ8BCyI+xo+BJD0XsyJIAiCoKOEED4IxjLSZu0R3Bn5K74pe7EwPOQLSzM7HPgzlYXrbyL41hag6TtOwbPJryQvBx+GjaDX00ExfNlIMg6e5XQCYKikId14CUHQJpmBYj7gQSpZHr/Hxe1PSXq3hXM7LYav9j4IeoJsLiyKZ2ufGQ9c2lPSO6W2u+CZrAvD9od4Jsh/t1MMvzwwQtKTYcwLepJs/M+Er/fXwTO153ye/h0FPJRn6DKzgbiY9xCai+HfBl4DLsdLBo/ARZRLpP6bcAHkqapSYSoI6k1a/6wk6dzssxkkfZJe95U0Mr1uSwx/A7B1DWLgvJ+V8Qzzx0t6LJ4FQU+SgvRuwUtOfwf8H57t/btSu7/hIsjJ8Pt4A22MfzPbA88Av0j28TfAMcB/JX1Ul4sKgg6Q7JizA2/iQbFLAd8Xz4Mq7fvgouDTCTF80MupdUy1IYZ/nkoVhC+Aa4CDQgQfjCmY2Vp4BtIFcdtQztu4IP68PIi15EfbE38mgAd+byTptnr/7iCoBy2s7Q33A+xCO8Tw1fzOQdCbyNY/swITS3rezG4CNgC2l3RlKyLeCXGb6kl0QgwfBL2N1vYPJRtnW2L4MyVdndo2mw9m1hfYHDgNGAdPqvl+3S4qCIIgGGsIIXwQjGVYpVRjI3CVpO2zhWpuvDsMj3iePp36D0mnpmPNIp9b+J4GYAZJH4WRI+jNVBGyt1sM31J/maEvHJlBryAbk3PgZR1nBX4GnsLFv6+X27bUR3rdlhg+7v9BryNb9xTz4Uhc3PUVsKI8y4sV7bPxvjVwDl7xAzoohs9/Q+evJgjaT+bkmQevCjIrLsYqxI1lBJyLZwJ7NOtnHDy49lhcMFZkzgMXwPcrfdaIZ43/l6Qnu/q6gqAjmFd1egm4Q9J66bPWxPD74BnlCzoihp9Q0o/xLAh6EjObDb+3r4EHLt0A/F3SD2bWX9Lw1G4F4ETgd0D/Ujctjn8zmwvfFyyI7zc+wm1MLxR9B0FP0Mo+dxy8CsJHkhYf9cxR2ne1GP4MSQ93/MqCwGmH8L2aYLGaGD7fI3wLXIRngm+KtUwwJmFm4wJTAYfjVV8XLDVpwsf/Y5KurHL+I3hFwZF4gNO+MUeCMYEqQR81ieEzu+tsuM3obmUVB4Ogp8nG6ILAi8CruLD9HDyhR5sVXc0zWm9PiOGDMYBsz9oXX///Drfr/4In/nsna1vsG1oTw78InC/pX6X+G4D5gVOBVfEKzItL+rp7rjQIgiAYkwkhfBCMZZjZrrizE+AQScelz2sWwZdEw5NI+j42c0FvJTNmTICLF4tqCD/lTsaSOKVTYvgg6M2Y2eTABVQymt4D/FXtKDcXYvhgdKXk2F9b0plmdjRwMD5mz6gi5MrXSH8AzgMmTIc/pINi+CDoCTKD87zAA8AU6dAI4Al8jdQHF3QNBAak403AvXgWvP+W+pwYdxKtigsHCoZTEU02AYcB/5H0VjovAgWDHsXMZsQz/xbBGtdL2iodq6sYPgh6imwttAtwJDAlfn/fItl28rG/Mr7OWQjP0PU6nhV1w6zLUcZ/9qyZCzgwnXexpG+76zqDoBrZGJ0ar1awKjAMX6fcAtwM/AAsVIuNswvF8CPw6p1H5EGHQdAZ0jifHK/iNBUwFA9SfRUX8n6Utc33vNXE8MPxINd3gL8oKhgEYyCZD6EPXiVkc2A73EeW74sb8OfFLcBtkr5P5++KV0keCPwILCHp7W69iCBoBy0ERLUUMNgeMXwfoCm9ngUXOq6BJ0Y4PMTwQW8irZc+zz66H5gYmBNYRdKzNfQRYvhgtCfbA8wM7ACshgvhG/C9wM/4/LgfuFbSL1XOLcTwWwMzpsPf4Il4jsMrEQ7A9+G74T5lAX+WdHnsLYIgCIKuIITwQTCWkDlbCrHXUFzgfq6ZDZQ0JLVrjwh+eeBfeKnHN0LsGPQULY29bNwvCuwHLANMlzV5GDfA3Sbp62oZK9LrEMMHoz3ZfFgHD4iaCTdCrCjpzfYaGdoQw38D3IU7SId06YUEQSdJWV6ewrOfHo2LYLYGtpR0Qwvn5OM9xPDBaE1yRP4XmA83Yr8E7Am8qkoG4EVx4eNJwKTpVOFz54RCDF8Sd62GZ0z6PTAtLqofjAtors2dR2HYDnoD5hVyzqGyfoE6i+GDoDdgZuMDTwLz4uuYZSR9WRrzKwLH4xlRx8Hv/6vggoBTcMdlQTUxfPF3HGCkpJExN4KeJBuT8+L2nNlwgW/B+3iVHICtJF1fa79UF8P/lnyk1L4shl8DmARfMy0k6ZP2XVkQjLJOGRfYDNgZv2dPVmreiI+3a4A7Jd1Vpb9qYvhGPHjwBuACpeQisa4PRkdqEfum9wvj++JD8eDB8bPmP+LiyaOAp3HR4+tUgsPPAfaTNLQe1xAEHaX0zOiDPysmxCvjIOmLFtq2JYa/CDgtaz8bbi9dCU/C8CswqyLjb9DLMLOzcVFuzghgPUn31NhHiOGD0ZZsjzof8G88o/u4VAIA84qvQ/D1zp+B1zO/QC6G3xv3t82efc2HeGb5gcAE+HOhCQ+kOkZSHpASBEEQBB0mhPBBMJZhZrsBZ6e350raIztWkwg+WxBvjC+IAWbJM8kEQb1JwpUlJV2V3pcN1UUWl+XxLC0T4xu2EfiGzfCMp1/gGVD3VykjdojhgzERM7sOz2rUCOwg6YqOBjK1IIZfDZ9f3wFLSXq36359EHQOM5sUuAMX6wI8hxve5gTWlXRnK+eGGD4Y7TGzgcDJeGaXAcBDwE6S3s0FkFn72YDLcGFXf9zwfRdwrKTHU5tyFYX+qW1jHgwVIpmgN5IEXsdRqZQDIYYPxnDM7I/ApbgDcxdJV5XG+pLAsXg1tYG4uGsVSb+me/yW+N54Svy50IcY/0EvJrNjzgM8SKUiTtmxPyK9vw4Xstdk56wihm/E58Vhko5p5fdMjq+zFsKrVb3a4YsMxlpKdsxN8KDUbbImxfhuSn9H4tndR+BilFOAUyUNK/VbTQxP6ucm4ExJj6W2sc4PRgtas39W839lx6bEqytsAqxNc0HYL8Bn+J5iMeCv+LPkWWAtSd/V6XKCoN1kPrPZ8YDwbfDg2ImAr3Dh7hnAfZLeS+dUnRtVxPAfAf8DjsGDC4/Fk49MBAwCVpb0WndcZxDUQim5x4nAP9KhYbjN9L94puqa7uMtiOG/BlaLdX7QW8meC3Pi1QILjZDwhGeN+N5h8tKpnwAHAbcX/rBsnzseXlVnW2Cp1Bf4PgJ8r9wIXIlrLJ6qx7UFQRAEYychhA+CMYw861a1bBNmthVwdXr7BLCOpB/M7HA8enOGdKwlEXyxIJ4GeAyYGRcEL18YRoKg3pjZQrgT5hvgKEmXpc/LRuolgP/DjW0AP6V/v+KRyLmz8wVgO0lvd0AMf4Gkz+p60UHQBZjZ9Hjpulnxcb+KpCc62Wd5jhyMi2ZWlvRQOESD3oaZ7YM7ehZKHw3FM50eIOmkamLg7NwQwwejNcmBfy8wP74eWkbSy9Xu1dm+Ynp8rK+BC9ybcKHXQXiW32JOFPuEZn11NNgqCLqSKvuEfL0/F+6k72oxfIvPkyDoSdJ9/Shc0LWapJezY7MAh+Pjejw8aHBVST+aWX9VKof8B9iIiiOzgRDDB70YM5sRF+8ugtuCfgJuw53w8+OBsf1S82H4vvYiST/W2H8hhj8Z3w8LWF3S/S20L0QCkwHjhE0p6Ail9czR+FpmnqzJV3j2929xQdc8eIBTIYgvRFoXAqeUbfshhg/GNMysH57VfWXcltMfz2T9qqRvs3ZVs2Cn9zvgVWe3r/IV3+FVPkakvqsGRAVBT5CtPZbEq9LMyqhVQwr+B1wn6dr83Cqv/4YnV5s/O/czvDJC8Yz5BvcTvN7V1xQEnaUVMXwTbuvfD/hvrbadFsTwg/DqzENjrRT0RpK/4Bq8CuAQ4D08q/sH+D5iAnxcL0/z6oBf4sFP11QRw/fH9x674dWqCp3GSFwEfyhwm6Q363pxQRAEwVhHCOGDYAwiM04vBOwE7FFF0DIFcA+wYProL/jicw/ayASf9TEevhncGzccXgvsWqtzKAg6Q0nA1Qi8Apwj6ZJ0vNhkTQNchRu2f8KzsOyJG95+xKORNwVWpGKQeBXYTNJb7RDDf4pXRjhFUbor6OWY2YLAk7jo91NgHkm/dEG/5czwH0l6NcSPQU9TGpv9JI1Ir3fDs3TlIoEX8EojI9vIEtaaGP4d4Ewy418Q9CaSk/IMfA11q6RNWxMrZuuqGXCB45LZ4TVVY4ngIOhJsn3y7MBUhWCr1KYrxfDX4gG2IQIOei1mNjcwpaSH0/u+aQ30Z+BEXBTzGl4O/qNsHhV/VwNuxQWVBY34Xn29GP9Bb8HMioy9++BBHn3x4PC/S3ontZkdWA5f14+T2g9J51wl6ecav6sh9XMicJCkB9rYV8R+OegwJbvlZcBWVII5bsNtP+cCw4pkOWa2Ip759xjcH9CQdXkDcJqkp0vfE2L4YLSltG5fHNgaWB+YJWs2FPgBfwbcWyQMaS2QNr1fCRcAL4ULiouEO0WyhU+B5SR9XK/rC4JayRIXrIBnuS7smD/jYt8v8MRRUwHjpmNvAP+UdGbqoyUx/PbAH4EV0nlFoNUQ4H1gU0lv1fcKg6DjtCKGB19P/R14ttZ1exLD/xG3v4IHlj/QZT84CLoYM1sVuARPlnkXsKekd8o+AzObAxe150F+XwJ7ATcCaiFJzuL482Uu4F3gzfy5EHuIIAiCoCsJIXwQjGGY2e+Ah3CB+tqS/q90fBw8I/xG2cffUCkLvJ+kU1LbaiL4Bjza80RgYdyYsbyk57v+aoJgVNIYPhwXqcyRPn6RTAyf2i0LXA9MiwvV95D0VckAviguiP8LFWdRe8Tws+GO/7fxefBN/a48CDpPCpR6DB+3XwLzSvqhg32NL+nnTCRZNm6E8SLoUTKH/dSSvsw/S69zMXzhsDwTDwjsiBh+IP4seR9YVtJXdb7EIGg3ZnYUcEh6e56k3Ws4p7jPzwE8TiVj2D24Q/On+vzaIOg8mcN/YeBu4AFgl2rBSl0khm/Eswv/dl4Q9Fay+VHc5yfFA8hnxvcKu0m6udq6Pgkin8aFkM8Aq6dDXwALKsuqGgQ9QZX96V14dZuXcJvPu5ZVOUhtlsOrChYBHh0Vw48n6acQugf1omSvLCp0CL8nH4NXb/o53dv7AY0lAe9CeLKQtYCps67/DRxcBIlk7UMMH4x2lNbra+KVDybHRb4jcPtNYQsCF7C/hweEXJrOq3ofz9ZQE+EZ4I/EfWULpCa/ieAtqkQFPUw2XpfGg1YHAsOB1/FMve8nv9lkVHxlhd/tC+AsSSemvloSwy+DiyN3w0XwrwL3AadHMEgwOtCGGP4RfE/wfDvE8BPjYvjnJD0a+4KgN1FF4H4hnmDzW2AFSW+U1lHlvfUOwL+yLj8G1pD0dkvPiSq/IfYMQRAEQV1oaLtJEASjC+ZleM/GRfDDgE3NbFwzz36UFpVD8Q3bp+m0JirG610yEXyfKiJ4w7Nw/wM37DUCu0t6vviOIKgnadM0FDcuX42X5QIfj7un7BMFm+Mi+A/x6OWv0vlKjkkkPYeXgTwdN4CDj/EbzWyu5DAq2qoY55LuwEvifYeXtdssRPBBb6GG+3ET7uiZBnd6trf/PuZl7Y42s8WrieDB50x7+w6CriLd7xvNqyC8l4xzpM+K+/q5uID9DSqOzw2BvYt1UNG2TOmZcA2VgKomYMcQwQe9jbRPAA/iA38OTJyO9at2TkGaC32SIOZo3GEqYE4qmcKCoFeS7tdTATfj+95lSWXbs3lRtH0LOBgXdBVsYWbXpuMjzaxv1m/xHHgSOBUPwi36PL9uFxUEXUS2Xi/+boiXbAfPBv94qR3w29xpwm1CA4DL8Kxh3wJLS/q2pTVUEHQHad0iM5vCzCY3ryy4OJ6hdPckgreSCL5B0qN4NtMh6eOB+P19GzMbv5bvltRUBAmG2CWoByVxyf9wEfxI3Na/s6QjJf1YtJE0oiSCN0kv4cGxZ+F204JNgX3Nq8GS7Z2LiiBv41UPBqX2DXgA4W5mtnJqG7agoFeQibfWBu4EZsT3r58CVwInAafgCW6+xbO4zwdcbGZ7pD6q3seLviX9IOlDSX/Es80fBrxMRQTfJ0TwQU+T1kTz4dl+B+IVEG4F1pVXQPgmjdVv8WqZwp8r4P6Dv5nZfqmv3F/WlO2JH5e0F151ZAFgGWD/EMEHvYHW9qbltU56vT9wctZseeA0YJFa97ny5Atnhwg+6G1kAa7zm9ki6eNCJ3ROEsE35Gv6Kr7fi/GqOAUzApea2Xj5WG9BZ1S1zyAIgiDoKsIpEQRjECl685/A97gzcn1g+sJJXwiAJX2Ii1i+w+8Djbig5Q34LdNdo5k1FI5+MxuIl3k8EVgNd3qeA9yRvjsWrEHdKQxtSQx/MnA5zcXwe5iXcgfPPAFwnKQv8uCO0kbsPXzetFcMfxfwZ9zR/0qdLjkI2kXm8J8q3bfLwvjX8YwsDbhRe5EqbVrr39KzZhpgd+ApM1swngFBb0OV7NXP4E6eWeC3MZzf1wsx/Ovp1JmAHYC92imGvw53eq4g6cEQfwW9kGLt82b6ayRRvKQRVc/IUCVLzAu40LcJny+Ld+3PDIK6MC6eya4RD5Q9y8wmSHveZmugTorhz8FLAa8s6eF4FgS9gVrGYbaWn59KcOD9SsHkVdo3AlMCE+AimefxeTOPKplPw9Ef9AhZQOzCeNbT3YFZcbvn58C7xb45Py8L/HsOWJHqYvgJuus6gqAaVUTw6+K2zNeBfZVlsW6pj0zA+zluDz2eim0VPBvkPqlNbj9tSQzfBGyJr5f6d8V1BkFXYWbLA1ekt9/ja/VFJO0o6YAkdlwDf1a8kdoJONPM9q/xOwr70quSjgGWykTwjW2cHgR1xzzT+x64UBHgfuBvyWfWNwXxNZpnjD8MmB73rRVroWmAPYs5UfaXpe8o9sXvSnpN0s95wGEQ9ATZuCzWTvOY2WJmtnQKmO1bba2TXpfF8Mvhe4L2iOFH8UcHQU+TxvlCeODes2b2O+CjdPir1KbNMSvpElxrVDAvrktqcS8SfuQgCIKgOwinXBCMeTwD/JpeTwkcYmYDMiN3sXi9A7gA+BE3avQHHjazo4Aig0tTcvRPg2e/Pg1YEzdwXwNcoch4GnQzmRh+CNXF8HuZ2U74+Af4LJ3XouFZ0vt0TAx/TxLSB0GPkzn8F8INF1vAKMYF4QYOcJHLP8xspXxct0ZqNwFwIC6EHA4sXquQPgi6izQmV8OztIM7bObN10MlMfz5VMTwc+DO/1rF8EU/10p6PLK8BL2R7FlQrJkEzG9mW7azn0eoZAgD30MEQa9G0gd4RakiW/s8+HOhXzUnTHvF8Nl5jwE7SHoongVBL6Kczb21dXvf7PVEUN0BamYTAVul9h8B70t6QdKgNPYj82nQY6S1+1y4yGsBYBNcLNwf+ELSVy3Zh9J+ukHSs1TPDL91iOGDnqINEfyRkm4st2sLSd8B/8b3w19kh/Y3s/WrtC+L4b/EnwWf44lIQvQY9BqST2svUiU04Da8asIgS1XRzKy/PGP1A8B7+H2/WCt9WMv3ZPOyOG9Y+jxE8EGPktky5wdWwdczbwF7pIDXvsW63cyWxAOjlsADyd8CDgJeTH20KIZP70PcGPQqrFIdfDoz+5uZ3Qs8Bjyd/j4B3G9m65nZ9NmpTa2I4ZennWL4IOhtmNmkwP9lHz2Gj23wJJsUNs8auBF4Mr2eCFgVIvgjCIIg6FlikRYEYxiS3sCzthcsAEwNzSMwJX2Gl68+H88MX3AILv59xMxuM7M7cGPHwcCSeBa9S4DzJL1QvysJgpZpQww/H7AdsGh6P6hKF9X6bJcYvmuuJAi6jjRG58YzMvYH1jOzSXKxSzJun46XQC24xMwWrUUMn+bA8sCy6aNBwEMxJ4LeRhqTt+GOefAS15uZWZ/sXt5VYvim1t4HQS/jHuC59Ho8YO0kaGyTwhFEc6Fk2BSC0QJJ/wccl94OwAO8Z4TqmYraI4ZPfRSBsj+nv/EsCLqNfA1vZpOZ2exmdqiZnQVcbmaHm9lf0v1+nNSu2v17SPZ6HTNbIuu3T/Z3CTzgEFLgeUGM/aCXsDCexGMobiPaFZgEmNLMpszWNKOQ2ZtaygwfYvig22lFBP8KcKykm9Mxa+99WNL3wNXA/1KfI3Gb0iZmNqBsJyqJ4VdLv2E5pQzYnbrQIOgCsjE7F17huA9eHXNPST+k+TQi/R1uZhMCR+C+r4Hp3I0kXd+exB9Z4oWwkQa9gux5cCgwO27H31bS5yUR/KK4CH4xXAT/JrCopDOBG6jYVqcG/m5m+xX9hxg46I1ktvy58TF8KB4MMl5q0oRXjFoO9y2fYmaFgFeEGD4YsxkOnIAnygS3ERV6itnhNz9ym0h6FXg0vW0CVjOzySNxWhAEQdCTxAItCMZMHgZeS68XwoVc1YRa7+Ll2w/FM7cUTICLHNcB1gKmwAUvwjPpnSov/d5WNrEgqBttiOGXJQWAAAtCbRHMbYjh5wzjXjAaMAuVzEVLApPkAvc0Z94CjgF+Se1mBM4vi+GLsZ69NzyD6t9xMYGAv0t6N54FQW8jjfVPgLPwIL4+eLnrpnw91FVi+CAYjfgGz+he3Le3xcVhbZJEL1Pga6y+uBP1udbPCoJexV34+AffL/wNfnsWjLKW6Whm+CDoTpLoUen10sDZeFbTI4HdgW2Aw4HzgIeAY8xsjnxdk43/K6lkP50d2KkQw6dnwMT4euokXFz2LXBIEpPFfiDoNUi6Hr/Hf4rvWydNh2YAZk/jucUxm9mbWsoMv1WI4YPuJBPB305FBD8MOFfSv81p6Oh6RNIXwLl4spy++P55Q2Cman1mYvjXgUUkfZhElZEBO+hxsjG7M753/QU4UNLg3LaT/k6AJ5XaBPeBAWws6dbu/+VB0PWY2SxUkhlcC7yS9g+FCH4efM+bi+CXk1RUHT8HeDa9bgKmwu2kuRg+gqCCXoNVqibPi+9/lwYmwwP9nsftQg/ga6nheLDshrh/7Pfgz5FirZPehxg+GGNICTwuAg6gss8tqjqtZWaL1dJPdu+/moqofjpggrCRBkEQBD1JLM6CYAxE0sv4Bq9gQzNbqIW2n0k6H498vgHfCJadQW8D/wVWlHRMEgQ0c7gGQU9QOIJKYviP0uFx0t+NU5uRtRglWhDDzwPcVwgGuu4KgqDLeQt4I72eDjg0OSOLrETF+L0duBl3nDYAiwA3mdnq5bZJHD8enjXjVDzjVxM+R+4t2nTDtQVBzWRj/VkqhrylgT2qtQ0xfDC609K4zD/PMkTuA7ycNTvOzEaZG1X66oMLbwakj74Afurwjw6CLqQ8B6o54yU9CtyRfbSLmW2RjlVdy7Qihr8yHa8pS1IQ1IOSCH5tfJxujO8DqrEgsBtwt5ktna/30/HPcGHAT/h+ems8o/ypZnYI7uA8D0+48ANwCvBa2IaC3kS2rr8GOApPmCA8OLYvcKSZTZsHgVdDzTPDl8XwFwB/iH1B0J2Y2Up4so4moB8wPrCtmU2e7sEdDkhK9/FXgP3w+TISmBBYrzhePicTvRfPklgTBXXDzCZszz03tZ0OH88NpEC/JGzMRfAn4WunXAR/S+rDSn0OJAhGPz4CzsD9xQ9LGpbtHyYF/oRXwBkfeAdYQ9J3ZtY3zZWfgX/gAbDFnJgK2NPM9oVmz4Mg6FEKu6eZzQ7cgt/bfwGeApYBVpa0jqTVcTH7WXiSwP54gqmrzGybor8axPAnAovHniAY3Uj39qtxH8EQfA40ATMBK0PbiTCze/8wfI88Mv2L4KggCIKgR4mFWRCMYWQbrlOoiCHnwB2VVReuyaDxIbAdLnD8PbARnjlsYzxb3jaSHs3PD0dnUA+qGJnLopYia90cZjZ98Xkmhr+UihhewNpmdkBqU5OAsSSG/wXfuE1Icu4EQW8ljd0Lso/mJmW/K92/38RFLPfg5eIb8Ox4/2dm55nZDmY2o5nNb2bL4JnBTiNl1MYzyFwtaXD9ryoIOo6ke/HxWvC7FtqFGD4YLamyTprJzGY2s3GgeUWoJPjqI+knYC/g/ezUM83sIPOM77/1XTh80t958Qzyk6QmB0saVJcLC4J2kN2bZzezXWBUZ3x2jz+UFMiHCyI3NLNpW+u/ihh+OLC1mV3dhZcRBO0mE7GsBdyGi1L64/f3fwGHAJekY+Dr+P64c/N+M9ug6CuJBr4HzgQex/fB4+CZ3/fCBcVrp3N/BC4DbpQ0NGxDQW+itK6/CjgCF8MXa6YFgZ3NbLK2xm4VMfwP2eFXI1FC0J1IehDP3Ph89vFKeFKDKXOxVgf6LgJDXsOrPhX9zFscb+3cjnxnENSKma2A23VWtVGr2bTERHgFTMMrHbyfziv2DW2K4FNG4GKttQOwuZmN26UXFwQdpCUfWrIJ/VbdNa1Vbgd2l/Sf9HmRIX5WYEvcxvMJ8EdJn6a1z0hVsr1/A3yNz6ciGcIUwNFmtmddLzQI2kFaz0yC711nw/e/DwPbyis9NQKY2QBJT+NJn17C/WN9gPGoVJIq+mxJDD8CFwyfgFdTCILRiuQfyMXwDVQCx1dL86lFH1j2HOqLazH6Ad/je4kgCIIg6DFCwBEEoxE1GPhyscsgKobxfvjCdYZqxulk0DBJwyUNlvQ/SbdKukbSLZK+xZ2gYdwO6ko+xs1sTjMbR81LthcZW1bGM18fWwhX0rGyGL7ob7tksG6vGP5C3MH/DbCspPe66lqDoKvJ5s8DeCUPgCWBrWDU+7ekJ4HjgOtI9/jELrhw5tn07z48UGoB3Hh4KXCOpBfqciFB0EVk9/o7qThq/mhmq1ZrX4MY/k/AgYXjtG4/PAhKtLQHyJz4swDHm9nTuHjlfeABMzvTzKY2s35FP5k4+ClcGPZx1uUxuCD+z2kuKDl8ijLBp+BOniY8o9jDXXypQdBurFL2egHgBbyc9R1mNo+ZjV+0U/OS7efiWSEbcPHL0kVfLX1PJoa/ARcSN+IC4yDoUcxsCbystQGD8TG6lKRdJB0H7CRpA3xP8G88Wxd4dY/rzGyd9L4hzae3cEfoTcCn6Vi+j/gOz3x3ftozB0GvowUx/Pv4GmYKfH+7g5lNVmtfSQy/FvAzsKqkxyI4NugusvF8Lb4Ofy47vBxwY1eI4SU9jwvCDJ8vkQE76FHMbFncLrk2sCewYront+WjKgRZ4OLG/vCboLEmEXzxOh1fF0+Ys01H51gQdBRLpNfTm1m/LICp7DP7ADixGMfp7whJrxV9ySsn9wOOxxPj/IzvkV+EURIqNEr6jop99G7gMVz4OBS3uQZBj5Oty+cHFsfXMl8Be0l6t5gLab4Ue+Id8SDZorr4fpLOKvddRQx/Av6MaQKOkmfXDoLRjipiePD5cKuZLdmaDyw9Y/rjiTX74HPuc2BELXqmIAiCIKgXYawNgtGAzLjWr/R5a476n/Fo5mJDNxFe4q6lMvFtZUEKAXxQd4pMK2a2EZ6p8aAUnd+UDHxNZrYiXq4dYHNg9SK7RRUx/Iep3dzAbmb25/Q9tYrhP8Dn0QKSXu3Siw2CLqa4T6ex+lR2aEMzm7YUaGKp7ZO44W5/KpH6hou7JkmvB6TPR6R2J0l6Ku8nCHojmaHudqAIZGoENjCzftWeA62I4YVnw/sDMHW9f3sQmNnEZjYXVF+HZ+LfefFMv38DFqOyX1gU2AMXPf7JzCbOM7lI+jWddzCV+QGeDexC4GngZjO7EC+hfQawOu7kuQa4QtKPXXvVQdB+0n17blwQNh7uuFkL+C9wiJnNn7UtAkEew0Xz4HPmLDObo60gpyQQPgqfV6tLui9EkEFPkfQwEwJ/ppK17kFgV0mDMrtPse6/HjgUOJrmDs5/m9mixfxIe+vXgf2ArXGn6O3p37l49uGTJRWBt0HQI2TiL7NKBZu8ClpZDH8kLg5rAmbGA8DbI4bvk/bB00h6oBCddfV1BUE1SuP5GlyQm4vhl6eTYvgieJZKooQGYIJO/Owg6Ar+gIurRgLr4HbJFdtag8srWL6J24CmBrYHMLPxqFEEn/qReUb6dYGJqQSGB0G3kfnMNgb+hyd9KsTwfav4zPbEkxlUS4xTvJ8czwgPbvO/V9LQ8ndX8U0/jduEHgWWjz1B0FvI1uXb4NngG4G/S3q7CKDK1+9mdji+H5gunbefpFPSsWo+g1wMfxAeHL5GsS+o68UFQTspxmTaKzeUP89pQQw/EK8iuFa+rzCvHptX55kPWJNKNanjJf0SmqIgCIKgJ4mFWRD0cpKjpdHMFgJeMLM/Fc78bMM2ihAxLURfBa7CjXMTA9um8xrL7YOgt2BmKwH/AabHhe7/MLNxU7T+KsD9uOHtG+Bm4K5MAFwWw1+GOzoBFgZ274AY/kNJX3fdFQZB/ciMEmfgJU3BhZGz5JliSk6dtyWdByyBG/DuwTM99sFLvz8PnAUsLelUSe+k77IwaAQ9QXnd01pARlpHDcXnxC/4uF4HmLAl4UoVMfy5wGfp8K6SPqt2XhB0FWY2A76OP9zM5qtyvAgAnAtfF82DBy014nv8X/HsXADL4GKBfcxsstL4HoyvuXYgZf5K9AEWATYAdsKzKU2X+j8HOEtS3j4Ieow0nlfDx/xwKnNhNmB34G4z2zIXOkoahAuCi2COyfGg2Qnb+r4kEN5O0oMhggx6krQOnwh3Oo6Dr1X+Kun7IlgqtWvK9gDvABcAB+AZHEnnXmBmM0lqyvbWX0l6RNK2kjaQtL6kPVLQbdiUgh6jvKdNf8dNh8vi3zwIsBDDF5nhZ6F9Yvhi3P+a3sf9P+hWukEMX9h3Js4+ex0iCULQc0jaDTiPyv52DUpi+FbG56tUngtLmdnvcH9BTSL49NkM6fv6Ad8C94UtNOgJzGxNPCB7IdyG8wfzasojzTPBFz6zr3E7z+NtdDknvhYS8IK8Isgo8yk9T6bDM2yD+wwuAjZQJI4KehlmNg6eFK0Rrw5biOCbrLkI/jB8Hk2fTv1HSQRf9T5fEsMfKOn+sAsFvYlsr1yMyX7A5OZJofrlY7UURN6SGP5m4AAzW6boN82n8fHgwONw30MTvl57sI6XFwRBEAQ10bftJkEQ9CRpYzU/brgYiDst3zSz2/AspYMkDStvttLrJjO7H9/QgWfO3kHSxd18GUHQHuYC3sUzUsyJZ2z50czexEstGm5w+z9gX0lf5+M/F8Ob2cmpzz/ihr2FcTE8ki4pG0CCYHQnc85/gldEmAHPjnqImW2eDBqjkMTCH5rZQUkwPwUuJvhR0vdZu3yuheMn6HayAMFpgUkkvVaMxeJY3j57/yJe6nc8XBy5j5kd0pYYPhn3zk+GwackPRfPjaCepPvvE8C0wGb4GuicwsFYOOfNbGp8LzAlbqD+FM/u/i0+zjcAtsMN3rPi66nxzOw4eabgYnwPBR5OBu3jcAH8CqWf9R0u+tofeFDSF/lvqdt/RhDUQLpf341neP8dni3yVXwOTYmvZ64BrjSzOyVdl857PTk/TwL64xUPLseDz0d5npS+c2jx3fW7siCoiQ2AmdLrJ4CvzLNCjswblYJgvzOza3EB2H74+J8t9XV2SSDQ7D5fvI97f1APallXZEKWyfFAwG3x8TuzmX0AfGtezeYjSe+lNZNl656rkr//MHx9VIjhMbOLJX3b1u+M8R90By3Nh9I+9Zo0nvfCq0FBRQy/WbKXtrqmKfVdPDvGzz5+JB2LcR90O8X4lbR7Eh7ukg6tkbV5qLwmz9YyNwDr4/f6zfHnxYzULoIfF1gPFx6D21lv6rorDIJ2sQye4GMcYCnc1vOdmQ3B/WSFz+xuqvjMqjAke72QmS0g6ZUq86AfXnGtPy4sfk/SCGBw111aEHQZE+H3+j549eNXVKnsVFRAOwzYkeYi+FPTsWZzxsw2AL6Q9EzxWRXfQ9iFgl5Baa+8MK6LmBvf936B+xhuAp6V9GDmUyv2Fj+Z2VWpu1NxTdIA4AhgVzO7C0/A8CW+PpoJr6DcCFyBV4/9rnuuNgiCIAhaxsKGFQS9m2RwO5WKoS/neeAl4HjcyTMiOy93Xl4DbJkOXSRp5/r+6iDoHOZZ2/8GLJg++gIvY2q4wOsuYJ/WDHrZpm8g8A8qYnhwQeQ5ki7J29bzmoKgM5Tu6TWNVzNbD/hvevsWsK6k91s7v6351IlLCIJOk93XFwLuwA1xJwFPSHoka1dVNGBmBwNHp7d3AusV4piWHPtVDOAh/A3qiplNCjyAlxYtKtf8CzhbWbYtM9sQD5CdEp8PeylV7Mja7Ajsihu/DV9PXYeXKR2UzakiwMSACYCVgEmBqXBR8SPAV5I+qstFB0EXYGZrA7ent7cDB+F7gGWolHz/AbgRfxZ8gQthrkhtAP4n6fepv7jfB91KFuhU87rbzI7EqxuAV+v4ezv2CgsDp+H3fICHJa3UUvsgqCf5PdfMZpX0fpU2xXplDnzszk8lECTnZ9xeep6kG7Lz8z31NlTE8A14JcELgZrE8EHQHZjZAGBkNSF7aTz/geZiePD1e7vF8Ga2JR5A2IT7HLYs7zGCoDspiRfPp7mP7G68suVDaV9bDuCbEB/P6+DZffNM1xtLusVS5t8q4t8++BrpLDzw6hvcrvps2EiDniLZNXfHbTXg9v45aYfPLOtrMuBlYBp87XQKcEF+rpn1xYPNz8YryX4GLKWolBn0UsxsKjxJwtR48NI8koZlx2sSwVulkvituNB3W0ltVVkIgh4j2yvPiVeNmg+3eRYU66Ai8PUYXLj+YTo/H//jA9tQEcM3MmrltYIRqa//yCtoBkEQBEGP09B2kyAI6kXKSmTpdZ9ic1V8BiDpV9yJvzBe0u7N4hCesXF7PPPX6Wa2TnZek5n1T2/vIZXuBXY0s9XrdlFB0AmKOZAE6udRKfE7Db5JG4IbuXdty6CXZUkagpc9vRx3bkIlM/yf87Z1uqwg6BTJiNFkZrOa2cxlUW4rp74MPIM/L+YCdoPWs1S0Np869OODoJ20di9O82A+4CH8uTApcAJwnZndaGYrmdk0JcdnQzZPHsVLBAOsjWfLbjW7XXnshygyqCdp3fIdsCo+Xgt2AvZI479gA1wE/zFJBJ/tJfoCSLoIOBbfKwifN1sCB5nZ5JlYoLEQDUj6UdJ/JV0m6URJp0p6WtJHbTxzgqDHSGPzLuCM9NG6wFqStgP2wEv5AkyIOz2vx8v9foM7dgrWN7M9Ie73QfdR3FuzMTehmU1nZovUcnr2esbUT03rdkkv4oEh4M+IJc1suZp+dBB0ISUR/D+Bd81shVKbBlUqZt6D3+dnwh353+O2npHAcDyb9fL4HmGvoo/c7iPpKuAo4H1c8Ftkht8hCcPa2msHQZdRHmtmtkISar2G2/snLp9TGs/X4IKX57ImRWb4KdPcaUm8kn9vA7B0etsA3B0i+KC7aMkWlI9fSbviQUsFa+BVy1ZMzwllvjaT9CPwV+BzfM00Al/zXKSUCT6tm/qW/HTj4iL4U3AR/GD8mfFi6jdspEG3ks2BY/GECF+kQ3PhY/sXPCv8bjWK4Btw8futwDB87bQz7jueJz1jpsMrKZyJi+B/xkX2IYIPejOD8UrJjcDMwEbFATM7nNpE8MV9fg587M8C7Bf+46C3Utor/x/u95oR3+cOw3UVxX6jb/p3BHCKma0Jo+wtfgauwu2mQ3AR/DB8DXUfXpH2Bjwpw5KSji5E8LGHDoIgCHoDsWgLgh4gd3QWzh55mcem4vPUrl865QdJLwN/BjbEDX65IXoy3GFzm5n90zwTDJKGp+PXZ+0F/MHMxo8FadDbSJutwrD3TzwjqtI/cAPGJ2kjVmt/IYYPej0t3Y8zI8aCeDaLV83sOPOyjPnzYhSnpqSPcVGY4XNoRTObvV7XEASdITO0FUbncVtoOjUuEH4v+2waYBM809f/mdkWyfCHvKxjsdZ6CHgyndMErGpm48a9P+gtFOsgSYOAzYCHs8OFGL6ollNkQP1HIYLP9hIjszl1Ey70zcXwW1ARw7daFaH0+0IYHPQY+VqpfN/O9tV34VnxAPYxs9Uk3SlpE+BAPENwI15K/kB8jn0I3JJ1t7Z5tuFw4AR1pyQAniTZcm7GxY8Pm9n6bXQxOP1tAmYwsylzIVdr35teXoUnW2jCK+1M2bErCYKOUZoDp+PiFICTzGyarE2TeXa7O3Cn/jBcxL45HkC4DC5aPAN4g4qj/1QzOyqzw9Yiht++WCPV89qDAH6z+RRzYGkzOxYXmByAVyzYHTjWzKYon9tVYvjsmbAuHkAI8CBeeaHVYPUg6ApKAsQTzWzm/Hh7xfCpndLe+mPgT3hShH7482FHMzvTUlIpSSOK/UTaB+yMZ4JfCPgRuASvHDUyng1BT5DmQJHw4Eh835v7zIYCT6Xgj1r6a5Jnyb4GFw0LmBafS/ea2X/xyiKn4nvnIbgA/64uu6ggaIWW1h55sFO142lcv4cLdwUsamYTJBH8DrQhgk99yMwmwROLTAEMAu6MIKigN1JlrzwTHvj3KfAXPBhkfeAPePXwvNrrxsD+ZrYZVBXDX01FDD8AX0MtA9woaUtJx0p6MZ+PsU4KgiAIegMWz6Mg6B7KApMkRpwHWB2YABelvItv0l4F7i21b1bG1MwWx7O0HASMi0ftFwzBswCfCbyaxDFbAecCE+PGjeUlfVyr8CUIuhszWwm4P70diUcpg8+RK4GTJA0tGypa6Kso5zgO8A/cAD5LOvwscJmk87r2CoKgbYp7sHm53gZgfkmPltrMDjyN37+hUoruGtwofaW8ekh+TlEKb0bcwFEIJ/8g6bq6XVAQdAIzmwcP+Ps98BWeyejTKu36A5PghriF8LVUE5Ug30Zc0PJf4ArgfUm/pHPXxI14kwI/AMtJeq1+VxUE7Se7h0+BZ+vNs6JeCvwTFy/Oiu8Hnqm2ni+JyzbC58zSuOH6C+A64HhJg2JPEPRmsjkxFTBIWRWDKm1PAvbFnwsXAgdI+ikdWwpYBTiSSlnfH3AH0VxU9ht7SzqjntcUBCXR1x+B9fDAvpyfcKHvg8pKumd9rI4L5wfi9/btJV3ejt9gwFPAYumjrSVd295rCYKOUEUEv2c69BaerffUrO3UwLXAirjN8wH8Xv12lX4XAW7D9wsD0sfLSXo8a5PPv22Aw/B1VQPwHXAicFpuhw2CrqY0DvfD98FLZ02+wkW4zwOnSHpu1F5G6ecPwN+p3NfBA8k3k/RVFf9CYZNaAn+eTIMLZI4HLpE0smuuNgiqUxq/t+JirYeBLSV9WWr72/g1s/NwgVfB3fi9+yFVKp/lyUM2As4GpsrO+R63q76DZ7ueCA8aHwd/hgwGLgP+KelNgqCbMLN+kka0cGwFPFgJmttCnyLZiiSNqNXGY2br4ZWZp6ayHxaVoMIhuG31cElfj9pDEHQd2bqkH+4T/h0wOR7s8SPws6R3s/b5c6HwAW+M24ImS338D1iUVEGNVkTw6bN+wFZ4tuvZgLeBdSXlSXmCoNeQbKVX4/bOYfheeS9Jb5XaTYrrIs7Gg5wKHgSOk3Rvlb4nALbGA6MGpo+HACtLerq8twiCIAiC3kAI4YOgGygZ3pbDF6P74A6Z/lVOGYpnALsYeCBfrFYxWM+NR2D+BViE5pUevsWzXRyDO1CPB+bGnf5XADuGQTvorZjZyfg8+R7P6DURMF86/AEuBDuli8TwjwIbSBrc5RcSBCVKz4SJ8Xv3gcDseMT+X4F/ZUa81YB1cBHMxHjwU8FI3Bh3EfCEpKey72nAnzOXpnPBs8qvL+nzOl1eENREaR4sDKwMHI6P2UKwcic+Hz4uBQcW9/MGfE2zNbAaLiCbMDUrnDbv4I78I/Fnxzd4lrz5U7tLccH90PpcaRC0Titi3kL4Ozkuhl8xO3wmXuZ0KmBuSV/V0r+ZbYgLhJfC9wxf4JWjjgsxfNCTtDb2snv+gnjm9vfwjMFf5ffurF1f4HYqQVLrSvq/Up9L4VmA58Uz3zXiz4xGPFMkwEqS8qoMQdBllERfZ+PirGnT4W+BL/GS1l/jwU4PtNDPeMBjVIJe38fF7E9Va186t6+8gsgdwFrp4z9JuqKDlxUENdOKCP494AxJ56Zj/ZKYazvcpjkNnjxkU0lvZ2KZvoV908wOwW2kxZw6SNIJVX5DPg+3xhONzJMOLynpmTpcehAAo4y/i4Atqdh6HgNewtf8X6mGDL+dFMMvBPwrtW/C9x5/kfRD564yCFqnNG7/h1clGIbbbbapthbvhBi+AVgWF4oVGYELu1EhJs7Fv4OAk4B/S/qwyy46CEqUxmk/3La5OHChpI/KbfH79Z9xn9lHwHR41mrwhE/nAte0JYYvfe+qwG643WmS1ER4cOARwLWSvuuaKw6C1jGzRYHt8eDAhahoHprwoKXrgcfx5FCj+ISTKPhuYIH0UX5v31/SyaldNRG84aL5U/HKOgLWk3Rn2EyD3kZmB90QOAff/74PrJP2yg3l9VA6rw/wH2CDrLv/AH+T9EV5bpjZ+FTE8MV+ZQhuN32mFn1GEARBEHQnIYQPgjpTMijshYtv56P55i0Xrzfim6u+eHa6d4HDJN3Zxvf0xw1/S+OZK/LNHbgTdUE8sn8EvhjeqBwRGgT1oMpGq6aNkZkdiY/bHYE1gf2oOPk7K4bfGxfEDwAWV2QEDrqB0jPh97ixYTsqWUkL/gz8RymDaWo/Gy7q2gQv+56fMxS/758NPC3ppuy8hYCHcIHwF3jQx3NhoAh6itI82B4vzbgylfXQENyZ8yEuhLm7hj7HAWYG/oYHlyxRavIDLqw5DQ+COjp9/hyeweLnMGgHPYV56fcmedn2/PPWxPBNwC/A0pJeb+2eHmL4YHSgpXmQjs2GCx+LQKl38KoIN0t6NWvXB58bW+NlrGcA3sQdl++nNsV+YFo8QH03YEl8HdWI78NH4vuDl+pwqcFYTkn0dT2wWXb4cjyQ43ZJQ2rpJwkez8Qz3g3FA0aOkfR6Db9lZlxwOQ3wMbC6pHfafVFB0A7aIYLP58qduE1oOLCKpMczEXze7nBgByoix/0knVLuL/st+bnbA/sDO0l6JNZEQb0ojbv/4MFQBSfiiQ4+SPf4vG2rY7KdYvgiyGQBXNSyLJ7l8XFgk9QmbEZB3WhBBD8CTw51lKRbWjm3Q2L41H464Dg8y/D8jMpneDXl3YA321qPBUFnKM2DVfDKIHukw5fic6Eshh8XOAEXPO6Mr3v2plLtoKNi+Cnw/cSK+L77Q+DFavvzIOgqSmNwcXy9fzAV20+etAAqiQuG4PvYvwHvKVVQyOyoS+LPgwnwZ0s/PPHULsX3Ag3Kqg0me9L8ePDtWrht6QjgBEVCwaCHqGVPmu0nhFfUubGldbxVEiL0AW7CK/EUHCzp+Ba+oyUx/IqSno19QxAEQdCbCCF8ENSR0ibuOFx024Bv3N7GxStP487K6XBh1ux45mvwzV0hdNwZuFRVSgzZqJlcNgc2BNYAJs2ajsAXwkUW+rnCyRnUm5JBbx5Jb9RwTm7QnlAp+5GZ7QDsjmcCgI6J4QvDxsDU1y0xD4LuoPRM2B/YFXfQN+CZH4cC/06vXwX+25LD08y2wMW+u6ePirJ04AaIR/DKH09Lejc5ldZO33WTpE3rdqFB0AqleXAYXvljfHxt9FL6dy7u+G9TlFsWwKTAwAYqwsZNaB4YCC78nYZK0OChko7t0gsNghYozYEiwOlc4DY8+PWlUvtqYvgmfOwacLKk/ct9t/G9G9JcDP8xcBdwiKRBXXzJQTAKHZgH6wE70dxB8xOeNfsgXDScZ4efHBfKrwEMBk4BTlOV6h/mWfdOxSuLzJ0+XjFEkEE9KI39QgTfiGdbPEbS2Vnb4v7f1lpoVnwMr4M7+H/EA5zOUgr2rtaHmQ0A/oiLxSbCRTOrKgvEDYKuphUR/LvAmWURfBKpzIMLeCcCnsDFkj9VEQkfhidRKETw/5B0atEfoGpzqdTHFJK+CUd+UC9Kc+BqYCs8AO8L4GhJF1VrW+qjnKUxt6G2JYZ/DNhcnu3xd7iYcml8T/4msJqkz8u+hiDoSloRwb+OC39vLrer0ke7xfDZ2mogMB6wKS4mng/3MRQVeT6S9GPsBYJ6UpoHe+OVQfL79ff4M+IhScNK5/YHxpP0fXp/KF5Rs91i+KzPGO9Bt1JaE20PbItnYS80ESPwNdJPeJXkvrgNs1if9MGTJBwF3KlUtSCt+8GfCyfi9/uiv92ARyW9WfotkwCrpnNWwe2ul+F+52Ztg6DetGHfbxYkC0yOB7LOhldMWEPSk230X6yH+uF+5CKh1BB8L/BEC+e1lRk+9g9BEARBryCE8EFQJ0qbuGOBA9OhRjzL1wnAF5J+yc5pwJ31q+DiFGieMf4g4HzVUJrUzCbGM+AdBcyJO46KyOchwNqSHg4DR1BPSpuy6/AMQ3cAp+Pj/4fMGF0W+uZzKC9z3S4xfNb/ZLjjM8o4Bt1OaTyfiAdGFdwJXAfcI+nLNvopBz4tjjstt8fFWwOy5j/gxo8DcEPedunz9/DMAC/EMyDoTkrz4GRcBF9wNZ6V6yNJv9Yq/mrjOwbgQt/tgOWAObKmI3ARcR98Dm4jaXDHry4I2qY0PjcFiuDVvqnJv/EyvR+Uzqsmhh+Jj99XgX0k3dvO798Q328sij87PsPFv+939jqDoDU6Og9S+z/ja6jpqTgzAS4G7ihEM6ntfLjYa0LgBWD9srCrtFdZHS9Df5Okh0IEGXQ1pbF/Nu6Eb8QFwEdIur7crh19Lwf8C5grffQTcD+eXfuhbE9cZAAeB18jnYmXjP8W2FgeABJjP6gLpTlwBp7BEXx/eqakc9Kxsk1nJXw8A1wm6c/p8/x+3qoIvtTfwsB3yjKcxrgPuoMW5kATPgcOlvTvdKw18W++dtkMr44zsp1i+AfxCmn7ACvgIvhPgWUlfRIilqCetEMEX4twtyNi+JrWWWEvDepJaR6cjVcRL/a3jwNP4lVfvyyL4Ev99FMlE3a7xPDZnJg47KFBd1NaEx0M7AVMgtvqX8XXRufh/q3BeLWCZfCqCcuVuvsEOAe4WtLn2XdMiScY3J/K/GrE58YD6W8jbjPaiUqywibgWuAcSU914WUHQYtUuUfPiY/HWfCAj+8kvVDlvNmAV4Bx8LmynGqrDlj4GpbBfdPT44na/irpslbOqyaG/xHXHFUV0AdBEARBdxNC+CCoM2a2F3ASLlT5BN88nZwdL7Ic/Sb0TZ9vhItTfocvYAv2lXRaK9/XzKhnZuMBM+Ml8rbCM8SvEc79oDsxsyvxzVFR5eBd4A18brxWi7GtZCCsSQyfzYNZcfH9u8DZkj7s0gsMglYoGfaOw4Xp4Ia8iyT9I2tbjN123Z+TmGVLPGvGdrjBrigVORL4Gs9yVHCgpBM7ek1B0F5K8+Ao4JB06GvgQkmHV2tb6qMsYmmpxGN5LTQOvpbaF1gYz5haZh1Jd3XiEoOgVUpz4B+4k34mPOD1M+ArXJB4h6Rvq5xfTQxfcBW+Bnq5nb/j93jQ7Dz4/uDBTlxiELRJZ+dBOm8xvMrNrsDU2aEvgFvx4PGhaU9wIHAYHuxxnaQ/VPkd+R6jKBEc++SgbphnuzsWH78/4o7Ga9KxDo89M1sD3xNPjQsIRuJJEI4AnpL0uJn1xR2p6wF/xjOg/oA7Mc9SqsQWBF1N6b57JrBHOvQpXgnksnRslDlQEsLfLGkTMxtQCMPaKYKfDRfV3A9cJemzrr7WIGiLJE4/Hk9g8yv+HLgiHatVBH8YPo8exhMdjGinGH4wbjMajxDBB91EV4rgsz7bLYav0keegCcE8EFdKc2Dy/Es2EXFyrPx/fBnkobVsjco9VeTGD77OxtwBh5AfmKM/aA7KO0LTqKSFBC8stkJeKXYqntTMzsItwktm338FS6Gv1BZpUszmwrYOPU5QamrobitaCQVP1oTPgevlPRi+fcGQT0ozYm18aRmu+O20r74uPwFrwB+DvButvaZHHgRr348DFi5PQEc1ryiJsC9wLpFkFUL51QTw38JzAoMi/kSBEEQ9DQhhA+COmJmywPn4+KSJuCQQnjYkmG5tOBdEjdq/57mGe/+KOnKGr6/HEG6BPCtpPfCuR90F2b2T9wpORw3KDRSyfg4Ai85ehdwCTAiibxamh9tieEvw4VgQ8ysv6ThSQR/LG5cHx8XxO+fB54EQXdgZvvgwR+GOxpPl3R6OtYZ0Us5S/zquNj3b3jw00DcoC7csNcfeB9YT1HaMehmUoDgCfjz4EvgBElnpWMtOt1L9/8NcEHXV7U46kvn9sMN4OvgRvPJU7P/An8EfgxjXdDVlNb3JwD7UXF03oFXi7pHbQQGtiGG/xce7PdqO3/PhriD6aXYHwT1pLPzoHR+P7zs73nAvMCUWdMncOfpNbhD5hZ8XfQtsHct++ggqBfJYXgRXgkBYD9Jp6RjHXKwl+bGasDJjFop6hd8/9GEi4UbcBvTD7h4/nxJ73ToooKgDVoRwY/Eg6A2lfRcK3agJfF7O8B9klbPjtUkgrdKwPnywEOp7TZFEEoQdBdmNhBft/8hfXSwpOPTsfaI4P9CJSDw38DW7RTDD8OfEyGCD7qFzorgq/i58v5qFsPX5+qCoDZKa6IL8SzUTcDHwKmSzq3WtoZ+axHDX5t8ZUWFqFmBY4D18X3BQZJO6JILDYIWKM2B04E906Ef8CSCh7Zybn6vXx5PjrBl1uQz4HA8CcKv2Xn98PXPBXjW90mrdP8zvmfeE3hQ0tfl3xsE9aA0Jw7AK3/PgmsohuM2U6OiqXgA+CceID7czKbGK4nMnI7/E9hL0pB2/Ibt8UqbAE/hFWOHt3HO+HjyzQvxoJIlJb1S63cGQRAEQT0JIXwQ1IEsov4w4FA8A/bFknZKx1sVmZQWvvPjYt9tqERWjgRWkfRojb+nnAEpNm9Bt2Fme+BR9MKNCXfiGegGpiaFAOZe4Gm8fPugKl0V/bUmhv8QuAE4Monh58AFlyvhpfV+BpapRSQWBF2Jma2Jz4M58DF/SGFc7irhYZV7/XT4XFs3/bN0aCRunNhC0p0hfAy6CzNbGZ8H8+Hj8TBJx6RjtTr9d8TXVp8Bm0n6rEYxfNlpOh5eBv5avATqB3jpyC86e51BkFNa158C7J0ODQYukbRv1raWbF9dJYaP/UHQbdRhHhT77QmBLfAApzWzJt/jlaC2x7MaFRXVbgB2lfR9jPmgJzCzbfAsXuAVDDZN9/ROrcdLc2xJvCLg+rgAppGK85Ts73f43Lhe0nsd/e4gaI1WxC5FtcCRuEBrv2o2TjMzYHbcuT8pLhbbXNLNSei1EzVkgk+fTY7boxYFBqV+HuzCyw2CNjGzLfFgPYDb8XE4pJ0i+J1wIRf4nGgA/gP8oQYx/F7Agnhg+ifA8pI+DhF8UE+6QARfBDMtAswr6aoqbUIMH4w2mNkReOUy4fbIoyVdno516H5cmmeHALtREcM/jyehukReOW0O4DhgFdxn9guwdPjMgnrSyr7gA+C8bB3fWqKcvI+58CC/XbIm7wF/kvRYFvRR2I+mAhYANsITK8yJJ4v6Et+bvyDp3a696iBomdJ4PhH4BxW9xM940GoffK2f8yyecO3WNMbz+fQMvid4r9bniZltgvsYmoDngJVqEdKb2QTApsCTkt5o84KDIAiCoJsoPziDIOgC0qZqLtzB3wd4CyiyfPVpy+CWG/yS8eF8PGP2cNxJ1Bf4exI51vJ7mkrvw+Ef1J3ksAR3ND6Lb97Gx8v2/g7fWL1BxRG/GnAQ8JyZHZ8Ek3l/fcDHs5k1pNcX46XAXkzNZsaF8fcng+I9eNbfSXBH/5Jh0Au6k2werI4b2Aw3OnepCB6a3+tTv59JulDSBsBmeGWEEfgzZHzgUDObIJxAQb3J5sEaeJUcAy7vgAh+J2B/3Om/FHCDmU2XBGR9WvsNmVHR0vtfgDfxrEvgmTb26vhVBkF1srF3CBXx70e4o3PfdKxY17R5P1alcs4g/N7+UHZ4J2CPFEjbVj+xPwi6jTrMA6Xnw4941qIt8HXOF7i4chJgceBJYDIq9/rNgU3y3xQE3YGZNaS1yrrZxy8UTsnOrsfTnCjWOE8Bh+DZhu/BhQUNVATx7wAPAmvhFapCBB/UhVbELl/g9k3wveliwClmtnS5Dznv4JnvDB/LWySRY5uZ4LPfMg5evn3G9NEr+F4gCLqF9BxowKuSFbxUiExa2Q//5kdIIvgdqIjgv6Ti39sEuCaJvn7bH5dsqNcAp+JZ4D8nRPBBN9CKCP4N2ieCXwn3LxxqZpuV25XG/V/xzL8Fa+C2pBWL+ZDZqYKgWzGzVXEhLvja5vRMBN9Qo2hxFG1H6X5/DF497ct0eBG8ItsNZrYbHoi1NhWf2RLhMwvqSSv7gneB02oRwcMo2olCd5FX/ZsNODnNpVwEb5K+knSvpN0krQXMI2k1SdtIulHSu/FsCLqL0pw4AxfBgwvhr8IF5osDywNnA69lxxfDK3/Mlj57MTu2OHAwNF8btfAbimfJT+lvA/BzLSL41P9PwGUhgg+CIAh6G5ERPgi6mGxjtSGe4WUc3AG/ZloUdrTf5YHLcKEWwFfAxpKe6EohZRDUAzM7H4/MbwLukrSemU2MZ+HdH1gWz0hUMAIPIjkPeFzSdVlfxRzLDel/xMVfy7TwEz4B1ooNWdATJIf+Y+ntc8C6kr7uDmdj+TvMbDU8OKUP7vzcXNKT8RwJ6o2ZFYJEA14ANlQb5deriOD3xTNCGpXMd0/SjszwVb5jb1KwIp5FY6PW2gdBRzCzjYGzgGnxjC5HSDotHevQ/de6KDN8EHQX9ZgHVb5jLTwI9i9UygaPoBJ42xcXfm2SxMJB0G2Y2SS46GtKvPT7opLeb0n41UXfabhgcn587TQOXoXtB3kG4qiMENSFVsQu7wFH46Kry3EBFnjSj+fxMu5PZP0UAshN8WfI1LiD/yfcngRti+ANFxCcCCyJPxdWlPRk1151ELROeg68ho/jwcBitT4HzCsg7AjMkD7aD/gm/Z0na1pLZvgN8cyNX4YIPqgnpWdBIYIfCbwEHNcOEfyKeCXZPsCPwBnA8ZKGVTmnrczwJwCPxLgPegozOwoPWgU4X9Ju6fOakoTU0H9+vz8AD6CarYXmnwFrhM8sqCdVBL9/S4fexW2XZ6djHbWPLgEciVcJLKpOHYtXolWpbfFcMaCPpJGd+e4g6Ait7JXfx58Lp5baj4fvY48G8uDx/BlyLZ4kpOA0VRKPtOZ/G4gnG9wetxkdI+mIsBUFQRAEozORET4IuphsYbgy7mQEeFDST52JJpb0CL7ILZgK2Dc2aEFvJosoPgbPPNeAZ19ZUtJgSR+njdp2eCb3T3FRQL/UdnfgUjO7z8y2NLNZizmWDBb90+vLceNGHv0Pbsy7HVg1DHpBd5ON/3VxZz142d/B4BH59f4NJRG84SXl/5c+mh7PJtzpLJRB0BLZPFibyjx4G3fatzgPqojg96Eigv+Kyj5mKeBGqzEzfJXf9QguxAFYx8xmrfXagqAtzOkHrIcLXgCuqEX829q+IZ3XaGZ91cnM8EFQb+o5D8qvJd2FB9mug2f6/YnKvsKAYbgQf+NiHxEE3chUeFWmEbit6LcMdV31Bfk6KDk7JelTSXdJulvSfyV9GSL4oJ604th/FzhT0hWSbsPFid+nY33xbKWnW/PM8MUYfRDP4g4uoixE8EdnIvh+2f7B0t8GYF68+uCSuHN/vyIYvOuuOghqYkpgAvw50B8YVqMIfm/g71RE8PtLOiXZQv+JB1kV1JIZ/pYkgq8p83AQdJTsWXA1lUzwfYHnMhF8vxpE8PfjwsZBwG3AedVE8Ok728oMXwRFBUG3k2yOhQh4MHB9+rzVKuLZ+uZ3ZradmZ1sZqea2eFmNrd5goRiDZbf708AjserROV8hQeXrBw+s6DeZM+C86mM/6/xqiCdEsGn/p8GbsEDpQob0mK4Lajctqn4TYUIPv88COpNK3vl9/AKIcXetm/W/hfc7n8okCe92dY8+RTAccAT2bG9zewUqPjfimdDtlc2YOH0D3yv/N90TtiKgiAIgtGWMPgGQf2YIHvdqXJaxaJU0mV4ZhfwyOZZcUdqEPRKMgPCT3i2F4DxgMPMbMKs3cuSzsMN0rsCzwBD0+EBeGDJ+cB9ZraDmS2Wzhue9XEnLpzfDDgJOB34E/BnSe/W5QKDoBWy7BKrUnkOXCVpeGcCozrxeyTpVyoGkUZgOTMbvyd+TzB2kM2DNfG9h4CLJQ1tbdxlTp4dgb2BOfB5dB4u8s0zOLZbDJ89n97CDeWNuIE8hJFBl5GMxgvj65EGPNPpIdC6o7MsiDGzmcxsvvRvosxxMzIJB0IMH/Ra6j0Piq/JXg+VdC8uhj8BLxHcgAsnB6Q2N+f7iCDoJqYGxsXH6/fAt3VwLk6X2Y9aFTeGYzOoBzWI4M9Jxxok3YivV1oUw0tSelYMwoXz3+Br9uH4XBpuZouktiNS3/3SeeMDqwCn4bamJuBCXCgTgpegJ5gOt4mCB2N/U4MIflw8YUjRbl9JJxfHJZ2J20vfzE7bBLiqEMNnbZuN+ZgDQXeQBLrfAV9SESXubGY7g9+7y4FJVUTwlvq4C9hbXmWzRd92C2L4Eenw7HiyniDoCQp/WBPuL3saqq/bM6HiBGa2kJldhyd8ugxPFrIXcDjwf8DZZrZgWv+UxfCXALvh66ir8QqCuwLbhs8s6C7MbD28Yjj4/XhKkn2mM8Gp2d73Qvx5UfS1JrB6R/sNgnpQ2iufSXMR/BmSzk3HGopAjaJ9ek48AzyQzhmJ64OmSO/fAs6muVB+bzO7wszmNbMBeSCImQ3AA0YOBX6H+8YOlvR8+IqDIAiC0Z2+bTcJgqA9ZOKrKbKPp4eOOxpL572AG7T7AAvhJa4f70i/QdBdSPrRzM4BNsaNEbPjJRlfSHOmKYl03wTeNLOb8FJc8wJ74A6f8YGJ8GxHH5mXVL0Y+EDST+l7fsKDRf5DEPQOJsafByNwh88v0LXCE6uxlHVmaLkEn1fT40KD6SS91VW/JwiqMDHN58HP0PY8MLNNgSNw4ZgB/5K0ezo2Af48WSI1L8Twm0n6rK15kc2HOXBBQh/c6PhVB68xCJqRZTNaJfv4a+DXlrIvlgzihgeBLAL8Hp8DI4HvzexS4P8kPZmEA/0lDTKzzYAbgRVTlzsBjWZ2oaSXyt8XBPWmG+dB4fBX9vpDMzsNuBzP/FiUCF5RKRNwCMCCbqYY7w24CGYe4LmuGotmNiX+DDjBzG4JoXvQE2T37wvxdQhURPC/OfZJol5JNyU/+7+ASWguht9L0hNJ0NhP0gdmti5wBzB56vsoYINkH7oa+AKY0MwmxTNOLgMsiAvOrgUuk/RRXf8TgqBliueA4c+BOYDXysF/OZJ+TeN7KuA7SRdAs2o4TZLOSe93xu2ojXiQ7E/Ajq31HwT1Ju1TT8QDOnbExY8AF6Q10AWFaLf0tyyCvwMPBPm6lrVTIYaX1Cjpr8mGtDKwjKRvYi8Q9BDz4vf/RjxAdhoz+7B8j87mway4gH1dfO/QhK+hhuFrJsOrhWwKzG9mfyxEjOn8Yo/8LvCumV2iLAt2EHQjr+LVCf4ETJM++1cS554HHcsKn+w/hQ/gHNz2NA7uf5i2q358EHQF2V75XDwgCeAT4AhJV6djLc4DST+Z2VX4PrsI+pgqHRue9gwTp74XSMe3wffDLyc76kg8qHxLfK+8OP5suZTIBh8EQRCMIURG+CDoYpJxrRH4sPgImKyz/WYRmFfjGTSKLBbjdrbvIKg3afw+DVyHb6rmIGUASHMmz/bYV9LwFMV/Ii6WGY6LFEfiBr6ZcCHvjcANZraEmU3VjZcUBLUyKe6kb8Dv24Pq8B1TmlmbWayTYbABr7YwPP2ePnTBMyoI2mAyXMzegDtr2hSbm5d/HI5niGwALpRUZI5B0rV4dsens9OWAq63lBm+tf7TfJgNOJJKVrKX0+8Lgk6TGa3nyj5+N61xRjFoJ8eNzGxiYFvgTuBkYHN8vd8fz5Y0I7AfcJGZbZC+a7i1nBn+L8Cu5tkkg6Bb6eZ5oCwbWCGwHCbpc0nbAn8GFpb0SAhfgh7iM7wKTRM+nosqZ101Fr/DqwZeDKzXRX0GQbsxs3moiODfpCSCT8Ld/J59E21nhh+RnhHP4uP76+LrcOf9Ufi+4G28GuEL+BpoQVxsdiFwlqRn6nflQdAmX+DJEZpwIeSS0LbYRNLXwOm5CD7Nozzj71l49bSv8HkhvCpOiFmCHkfSp/h9+GIq92+A88zsL6lNU9rTdloEn31vnhl+W2ABSR9bK1WpgqDOfAj8it+jBwAzpzVRX8uyYqd5sBRwG57NfZ50qAGfFw34eqlIyiZgPnxOzZXth5vd/0MEH/QUkj7EK9hcRvPnwDml50C7dUuZD+ANPPlOf3yezN6JnxwEdcHMtqYigh+JB4a8lo71b2l9kmmEBuN2pcKf9VVxXNIvwBXA0cBj6bjwPfE2wL24z+AxPBv94vhe+TLgEkWytCAIgmAMIYTwQVA/CgeOAWuZ2SqtNW6LzGgxAl+4FhUdBnam3yDoDlLmiaF49YLi2bNO4dQsNwcws9mB+6iUyWvEM72/RMWpMwde5u5uXAizTy2C4CDoRgrDRQNunFgQmlUP6RRpvF+EixxbHftFNhhgZtzA0g/4CPi0K35LELRCMQ8Mv5/PA63Pg+ScuR/P5nKEpF2LczJn/w3A6VTE8MIzWVxnZgMyA+EomNkU6dzl0kdfAgdI+rVDVxgELaPs78xm1q8Ym/kYTU766fDKN8cCa6RDxfzpQ2X93x/PJHaema2Tzh+RggkLMfx92W+4JsZ20MN01zwYReiViV+ukvRyth4Kgu7mS9zpX6zZt0rjvavYBA/CnRjfa/drvXkQ1AdJb+CZS18GLiqL4LN27RXDF9l9n8bX/Pfi8wr8OTEpXvVsMnzP0YTbUPcBTi5E8K3tEYKgznyGi1WK58DmZjZ1LSdKGpK9zudRU7avvhivwAC+9/640784CLoISZ8AF1BdDL9rajMi+dA6JYIvCYpzMfz3aS/QZlXNIKgTRbKPvnj140vMbEZJI4uxbWZLmdlB+DyYm+b+3zuBE4Bl8YpnJ6fP++LrnvmBLc2sIdY7QW8jBUW19BzolBg+2UO/oLIOAt8PBEFv4yHgSmAIfu/uCzxhZkunRDdVx39m75wPt/kIr7bzaXE8rXF+BW7Fqy9cQaWSCPjaagQVjUYTniTqFElPQuyVgyAIgjGDEMIHQf24AzfWjcAFvGuY2ThdsIgchDt6ioVrRPEHvZ7MuXke7qwEd1AumR9PTs1G87KP/6OSPbIRWErSVsDGwJlUqi6AZ9RbFzgJd34GQW9hEPA5lRLYy0KzTBWdQtJwfMyfTiXrXkttlebWCVSM6C/jz6ogqCff4WuXwmG5ErQ9DyT9DFwq6Sj4zajdWMp8dz3u+HmbytroxZQFuLXMd4bPzQnxLBqrSnqnIxcXBNXI1vy5c2cNYPlydi4zmzpltX4KL2k9HZXx/BXwOnAL8HD6rA/+XJkGOChlXkXSyLSWGgT8AXgAWEnSwx1xJAVBZ+mJeVCm/KyJrKhBT2CVqkz3p4+El6peOB3vcJBsNs9mw9c34JUXRrRwShDUHUl3AhtIOg1aLvHeQTF8P0nvA1sBf8crD36EiwmG4oKAF/A98lKSzkpZKH/7zq6/4iBonfQcGAI8mH28GF3wHMjWOkvgNqcG4HZJ/+1on0FQD1oRw59rZlua2fzAPXROBD8XsL6ZTZJ9b2P2Op4BQY+RggVPK97iVY8fNbP9zWwXMzsFF0geAYyT2o0E3gP2B9YHDpX0nKQbJe1PJbNwA+4j2wQYEGM96I20ERTVYTF8Vu1gvOIjvDJVEPQqUkDIAXi1++Hp4wHA/Wa2ZEvjP7P7LIYnOCvW+y9nfRd21hGS3pP0J7zC5hF41vlP0r/ngXOBZSQdI+nN4jvi2REEQRCMCVg8z4KgPpjZzLj4ZKb00VfAmikLXZ+OiiDNbBbgEWBq3AiyjKTnu+AnB0FdSRu1BuBA4HBcvPI1LtB6sySCv53mIvhVJD2Sb8TMy0MuBxyER0D/gjs5X+vO6wqCtjCzu6hkNH0X2ETSK13U95LAXcBEuLBmE0k/tNB2KtyY/js8S95XwAoh/g26AzO7G1gtvX0d2Cw5gDrT52+OUDO7GhdO9sMdpae1erKfMyewN3COpFc781uCoCXMbDG85GiRmXcYboR+Gc8KuVH6tw4emFHQBFyFG6bfkvRjMoSvj5csnSi1+Rn4i6TrinVStqbqm8TxNZePD4J60BPzoO4XFQQdwMzWxDM5FryP23S+7qSdaCHc/jQx8Bywbuoz5kPQ49SyDinZejYG/gUUIsaRuLN+L0lPpDbN5ouZTY8/PwYAvwLvF8EgsQ4KehOpis1t2Ufv4c+Bbzr5HJgGr6a2ER4McpCk82P8B70RM5sB+AuwA14JtkBURPB3Avu0UwS/AL5vmBS4Gjhf0uAu/vlB0CnMbFk8A+8qVMZ88begEfedDcXH8vWS7s36MFzfUdhEj8eF8sPxPfcKkh6r/9UEQcdo5TnwV0kXpDbtWsOYWV/gRbxyIMB6ku7oml8cBF1LWrsfD2xJpVrUMFwv8VTJ79WQBPJr4doJw8f6XyQ9XW2uVNkvT4A/Vwz4sTgWNqMgCIJgTCSywgVBnUjZhk7OPpoKuNLMJk/ClHbNvyzaczLc4d8AvBIi+GB0QU4jcCmVaP/xgFXT8bZE8A1J3FVkAX5S0inACsBhwKIhgg96E9l9uzBUNwIz42OW9j4HSn0X505PJUPMBy2J4AEkfYWL3ycDvsXnVojgg7qSzYMiA2ojMCewYjremf1IIZaZCX+W9ANeAS6s6WTpbWCPEMEHdeYlfEzmWV7+gwe2vghcj5e0zsW/D+DOnz9JeiaJf01Sk6RbgW1Su4Z03k4pO2qR+aUx/R2Z/ob4Jehpun0eBEEv5T7govS6EZgVuNrMJuuInQjAzCYFtqbiPH0Zr3YTWU+DXkEt65Bk62lvZnjL7EOfSnpd0guS3pI0IjsW66CgN3EvngUV/DkwG51/DgwE1sIzRIJXSLgRYvwHvRNVzwjchNt4fsH3CR0RwZ8MLIiLINcnKikHvZAkUP8n8DgV8ftQ/JlQiBaFV5n9I3BYIYLP1jZKosiimsh9+NwpRI5FAHoQ9EpaeA5A5zLDr09FBP8UXiEqCHolkr7Ak/xdR3Nb6YNZZvi+SdDeZGYrUhHBfwbcCrya+qpWea1cHfMnSYMlfV/spdPnYTMKgiAIxjhCCB8E9eV+vJwjuOFtAeBiM5ukZKhok+QUmgjPXDoebhR50Mz6tKefIOhJkvH6MzxL0XB8LO+Qjk1D6yL4Jmi+qUtimFeB45OgMQh6DZkR4X/AT7gxui9wkpkt2gFjXt53U8rwfjhuIPkIOA+aCY9/IzOUb4tnkllVnczGHQS1kM2DW/GMvcU8OMXMFunkPJCZjQ/sBUyOZ824Exhea59FpsggqBdpjJ2M7wuK8dYATAfMUeWUY4D9Jf0TPINL6keF4EvS7Xg27GJ+TURFABkEvY6YB0HgpACl24AP8TnQBKwEnNMRO5GZ9cOzSW4EjAt8ARwhaWi1PUEQ9GY6IIZXa+LIEAAHvRFJw3Hb58dUngMr0/HnQAOwNLAPMAMuJvujpEGdDDoPgrpSRQRZjNfxgPeSCL6mtUwSwZ8CLIMHyH4MbCXp51gPBb2JbJ1zA54V/rx0aCBuL+2DC+SPxSsf35jEkqTzymub4n0hgi/2xsPqcgFB0IV0lRg+2YjGxffFRQDUk/ncCYLeiKTPaVkMv5SkkUm0vhJuTzU8wdntwNmSfu3oOicE8EEQBMGYTBjDgqCOSHoTuIWKIaIJWAM3bheZXmoybqfN3rJ4VgtwY8ZVkhrLkZ1B0FvJjHVPUcl4Ma+ZnYhv5FoVwVfpr1nm0yDojUh6Cxd/DcefAwPxCiHzJmNeu40VZjYOXjZvmvTRe3gmgKpGjCKDQHq9raSXO3QxQdBBUuDFKVTmwbh0fh70wTPLr4Tva37F10YjQvgS9CaSc2c3PDPjEHy8Gi7qAvgSeAgPUjpM0rPwW8BfY9ZPLvj6kUoJ7ch0F/R6Yh4EgSPpv8BV+Ng1fC78Hri0PRmBzaw/biM6FM8o/C3wd0mfpKxh4dgMRjvaK4YPgtERSbcAV9D558A4uIj+FDwD6vfA0cBrRRWdOl1CEHQJrYjhTzCzvxbr/tbmQyaCXxoYH/gUWF7SR2bWN9ZDQW+itM65R9LuwOLAesCmwMqSlgOOkfR+W8+CbHxPgQeF9wWeA56p1zUEQVfSWTF88h0LWAivktYXr5B2YnG8jj8/CDpNEsMfyKhi+AfMbFYzmx+v+mHAd3gSqMMkfZeN/yAIgiAIMmIBGAR1IjNonI9v5Arjdn9gM+BaM5sqd+qXRWDF+7RZWxD4O27YbgT2lvRSZLUIRkck3Q9cmN72B/agIoIfiRv9WhXBB8FoxqV4qboG/B4+N3Cumc2ZjOA1r8nSfX8JXAg/GS7+OlzS162dlzJQBkFPcgnwOpXMdx2eB4n58WzwC+LzagdJr8baKOiNSPoAFwFvjVeMehY3Xl+KOzy3kvRAPn6rGbNT9l/w0tng+4svJf1Sx58fBF1CzINgbCezEx1GxU4EvifeALjLzOYpndNQjPlirWRmU+Jz5iy88uAPeEbJh1L/ESgejLaEGD4Yk6nhOXCnmc2l5tUwqz0HpgE2B84AFsaDA88HbknZI0MUE4wWtCKCPKctEWQLIvjlsqDAsIMGvY7y/VnSc5LukHSTpIeKj9OxNv1iaV+wGxW9x7OkJNld+LODoG50VAxf+I7NbEY8wHBi4HPgX8Cg4rz6X0EQdA559YJqYvjXgZdoLoLfV141J7QTQRAEQdACFjaxIKgf+ULUzC4GtseNGMINEx8AfwFelfRFytZSOHwaUgaYCfCyjvsCq+LCsbOB09IGMQhGK7JxviFu3JgQH9f9cBH8KpIejY1cMKZhZr8DHsUzwjfhwt1ngV0K8W5Lzsps3vTBxb8n4hVGGoEDJJ3a2vlB0Fsws0WAR+jcPOiLi9+PBtZO/ZwInCDpp+64jiDoDGkMm6QRHTx/Erxc9lzAz8Bukq6M50AwOhHzIBhbKdmJLgX+iNuImvBKgl+RRO2SHq5y/lK4HWlFYCZcBH8FcI6kd7rlIoKgG8jv52a2MS5qmSQdHgk8DRwo6ZEe+olB0CFqeA58iQc6PSLpsdK5fYElgT3T3xnw58BlwAXyioRBMNphZjPg65sdgCmzQ3+VdEFq06cI9mtBBL9sJoKPoMBgjCcFSW0KHIfvCwYBS0t6r0d/WBB0gBqfA4X4vfg7LZ54Zw18f3AHbhv6rJt/fhB0mhToejyeAK0/7jfrgwe8Xg8ckbREoZ0IgiAIglYIIXwQ1JmScfsCYGeaG7e/w5031wFP4uJ4AybHN3v74pld5k3nXAOcIen5br2QIOhikvPmPmB5KnNiXUl3x0YuGFMxs2VwMTz4mG8APsYDpR7MHP19wbO4p1K+I1Ng1Ap4BuxV0vn/Ak4JA3cwOtHCPPgI2F7Sg1m7fB70SQGCE+Lj/2/ASun8i/G10RvddhFB0IW0R7hrZv2BHfFAkEmAz/AgwhA/BqM1MQ+CsYmSnegUYBdgvKzJcNxedAduM/oKz3A3I7B6alPYk84ErovxH4yJtCKGH4EnU3gSWDOCYYPRjdJz4GT8OTB+1qTIBvk/4Fv8OTA5MCuV50BDOnYacL2k97vhpwdB3ahFBJnatZQJ/uMQwQdjCymZ2pJ44NRieHD4XyRd06M/LAg6QY1i+H6SRpjZ1PgaaH18L8wQT8YAAQAASURBVP0WsIWkl7v5ZwdBl1FFDN+E6yc2kHS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      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 818,
       "width": 1505
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.matrix(SportData, fontsize=18)\n",
    "gray_patch = mpatches.Patch(color='gray', label='Data Present')\n",
    "white_patch = mpatches.Patch(color='white', label='Data Absent')\n",
    "plt.legend(fontsize=18, bbox_to_anchor=(1.0, 0.7), borderaxespad=0.2, handles=[gray_patch, white_patch])\n",
    "mpl.rcParams[\"legend.frameon\"]=True\n",
    "mpl.rcParams[\"legend.facecolor\"]='#C0C0C0'\n",
    "plt.title('Matrix Plot Showing Sparsity of Data', fontsize=30)\n",
    "mpl.rcParams[\"axes.titlepad\"]=20\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_It is clear that there is a significant lack of data for Cycling and Gymnastics. For the sake of interest these sports will still be analysed however they are unlikely to have statistically significant results._"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Building a dendrogram to view relationships of missing values between samples (excluding cognitive status column)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 810,
       "width": 1483
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.dendrogram(SportData)\n",
    "plt.title('Dendrogram showing Relationships of Missing Values Between Samples', fontsize=30)\n",
    "mpl.rcParams[\"axes.titlepad\"]=20\n",
    "plt.ylabel('Nullity Correlation Level', fontsize=22)\n",
    "plt.xlabel('Factors', fontsize=22)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_The Dendrogram indicates that there is likely a relationship between Temperature, stline, Elevation and Population. This is likely due to the fact that these are all features that together describe a country._"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Imputation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Converting the Data to Numeric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "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>Overall Jokl Rank</th>\n",
       "      <th>Athletics</th>\n",
       "      <th>Cycling</th>\n",
       "      <th>Gymnastics</th>\n",
       "      <th>Shooting</th>\n",
       "      <th>Swimming</th>\n",
       "      <th>Coastline (Km) (2018)</th>\n",
       "      <th>Temperature (1901-2016 [C])</th>\n",
       "      <th>GDP (US Billion Dollar)</th>\n",
       "      <th>Elevation (Feet)</th>\n",
       "      <th>Status of Women</th>\n",
       "      <th>Democracy Index</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3592.91</td>\n",
       "      <td>1444.87</td>\n",
       "      <td>255.14</td>\n",
       "      <td>573.98</td>\n",
       "      <td>330.12</td>\n",
       "      <td>988.81</td>\n",
       "      <td>19924.0</td>\n",
       "      <td>7.00</td>\n",
       "      <td>21428.00</td>\n",
       "      <td>611.53</td>\n",
       "      <td>0.85</td>\n",
       "      <td>7.96</td>\n",
       "      <td>3.310027e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2202.10</td>\n",
       "      <td>729.75</td>\n",
       "      <td>413.69</td>\n",
       "      <td>503.35</td>\n",
       "      <td>119.66</td>\n",
       "      <td>435.66</td>\n",
       "      <td>12429.0</td>\n",
       "      <td>8.50</td>\n",
       "      <td>2827.00</td>\n",
       "      <td>526.59</td>\n",
       "      <td>0.88</td>\n",
       "      <td>8.52</td>\n",
       "      <td>6.788601e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1906.08</td>\n",
       "      <td>222.45</td>\n",
       "      <td>11.54</td>\n",
       "      <td>479.91</td>\n",
       "      <td>687.05</td>\n",
       "      <td>505.14</td>\n",
       "      <td>14500.0</td>\n",
       "      <td>6.39</td>\n",
       "      <td>14343.00</td>\n",
       "      <td>6005.63</td>\n",
       "      <td>0.73</td>\n",
       "      <td>2.26</td>\n",
       "      <td>1.439324e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1828.25</td>\n",
       "      <td>288.53</td>\n",
       "      <td>413.02</td>\n",
       "      <td>205.08</td>\n",
       "      <td>484.06</td>\n",
       "      <td>437.56</td>\n",
       "      <td>7600.0</td>\n",
       "      <td>11.86</td>\n",
       "      <td>2001.00</td>\n",
       "      <td>1754.73</td>\n",
       "      <td>0.83</td>\n",
       "      <td>7.52</td>\n",
       "      <td>6.046183e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1506.77</td>\n",
       "      <td>549.62</td>\n",
       "      <td>190.79</td>\n",
       "      <td>318.79</td>\n",
       "      <td>3.87</td>\n",
       "      <td>443.69</td>\n",
       "      <td>202080.0</td>\n",
       "      <td>-6.89</td>\n",
       "      <td>1736.00</td>\n",
       "      <td>1519.09</td>\n",
       "      <td>0.88</td>\n",
       "      <td>9.22</td>\n",
       "      <td>3.774215e+07</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>1.04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.07</td>\n",
       "      <td>2.22</td>\n",
       "      <td>1967.08</td>\n",
       "      <td>0.51</td>\n",
       "      <td>1.32</td>\n",
       "      <td>4.829767e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>0.57</td>\n",
       "      <td>0.57</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>28.10</td>\n",
       "      <td>47.27</td>\n",
       "      <td>36.98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.871700e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>0.52</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.03</td>\n",
       "      <td>3.15</td>\n",
       "      <td>6717.81</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.726500e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>0.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.09</td>\n",
       "      <td>30.64</td>\n",
       "      <td>6901.26</td>\n",
       "      <td>0.72</td>\n",
       "      <td>5.28</td>\n",
       "      <td>2.913681e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3025.0</td>\n",
       "      <td>26.91</td>\n",
       "      <td>7.70</td>\n",
       "      <td>1377.25</td>\n",
       "      <td>0.56</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.589322e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>190 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Overall Jokl Rank  Athletics  Cycling  Gymnastics  Shooting  Swimming  \\\n",
       "0              3592.91    1444.87   255.14      573.98    330.12    988.81   \n",
       "1              2202.10     729.75   413.69      503.35    119.66    435.66   \n",
       "2              1906.08     222.45    11.54      479.91    687.05    505.14   \n",
       "3              1828.25     288.53   413.02      205.08    484.06    437.56   \n",
       "4              1506.77     549.62   190.79      318.79      3.87    443.69   \n",
       "..                 ...        ...      ...         ...       ...       ...   \n",
       "185               1.04        NaN      NaN         NaN       NaN      1.04   \n",
       "186               0.57       0.57      NaN         NaN       NaN       NaN   \n",
       "187               0.52        NaN      NaN         NaN      0.00      0.52   \n",
       "188               0.42        NaN      NaN         NaN       NaN      0.42   \n",
       "189               0.00       0.00      NaN         NaN       NaN       NaN   \n",
       "\n",
       "     Coastline (Km) (2018)  Temperature (1901-2016 [C])  \\\n",
       "0                  19924.0                         7.00   \n",
       "1                  12429.0                         8.50   \n",
       "2                  14500.0                         6.39   \n",
       "3                   7600.0                        11.86   \n",
       "4                 202080.0                        -6.89   \n",
       "..                     ...                          ...   \n",
       "185                    0.0                        25.07   \n",
       "186                   24.0                        28.10   \n",
       "187                    0.0                        11.03   \n",
       "188                    0.0                        12.09   \n",
       "189                 3025.0                        26.91   \n",
       "\n",
       "     GDP (US Billion Dollar)  Elevation (Feet)  Status of Women  \\\n",
       "0                   21428.00            611.53             0.85   \n",
       "1                    2827.00            526.59             0.88   \n",
       "2                   14343.00           6005.63             0.73   \n",
       "3                    2001.00           1754.73             0.83   \n",
       "4                    1736.00           1519.09             0.88   \n",
       "..                       ...               ...              ...   \n",
       "185                     2.22           1967.08             0.51   \n",
       "186                    47.27             36.98              NaN   \n",
       "187                     3.15           6717.81              NaN   \n",
       "188                    30.64           6901.26             0.72   \n",
       "189                     7.70           1377.25             0.56   \n",
       "\n",
       "     Democracy Index    Population  \n",
       "0               7.96  3.310027e+08  \n",
       "1               8.52  6.788601e+07  \n",
       "2               2.26  1.439324e+09  \n",
       "3               7.52  6.046183e+07  \n",
       "4               9.22  3.774215e+07  \n",
       "..               ...           ...  \n",
       "185             1.32  4.829767e+06  \n",
       "186              NaN  3.871700e+04  \n",
       "187              NaN  7.726500e+04  \n",
       "188             5.28  2.913681e+07  \n",
       "189              NaN  1.589322e+07  \n",
       "\n",
       "[190 rows x 13 columns]"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nSportData = SportData.iloc[:,:].astype(float)\n",
    "nSportData"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "'Autoscaling' prior to Imputation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "scalar = StandardScaler().fit(nSportData)\n",
    "SportScSK = scalar.transform(nSportData)\n",
    "SportScSK = pd.DataFrame(SportScSK, columns=nSportData.columns, index=nSportData.index)\n",
    "SportScSK;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "KNN Imputation Method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "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>Overall Jokl Rank</th>\n",
       "      <th>Athletics</th>\n",
       "      <th>Cycling</th>\n",
       "      <th>Gymnastics</th>\n",
       "      <th>Shooting</th>\n",
       "      <th>Swimming</th>\n",
       "      <th>Coastline (Km) (2018)</th>\n",
       "      <th>Temperature (1901-2016 [C])</th>\n",
       "      <th>GDP (US Billion Dollar)</th>\n",
       "      <th>Elevation (Feet)</th>\n",
       "      <th>Status of Women</th>\n",
       "      <th>Democracy Index</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.558384</td>\n",
       "      <td>7.935746</td>\n",
       "      <td>1.464145</td>\n",
       "      <td>3.330825</td>\n",
       "      <td>1.748549</td>\n",
       "      <td>6.960005</td>\n",
       "      <td>0.936007</td>\n",
       "      <td>-1.417942</td>\n",
       "      <td>10.690428</td>\n",
       "      <td>-0.642652</td>\n",
       "      <td>1.236152</td>\n",
       "      <td>1.090185</td>\n",
       "      <td>1.938201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.436000</td>\n",
       "      <td>3.741921</td>\n",
       "      <td>2.950820</td>\n",
       "      <td>2.842430</td>\n",
       "      <td>0.179178</td>\n",
       "      <td>2.801816</td>\n",
       "      <td>0.493812</td>\n",
       "      <td>-1.237790</td>\n",
       "      <td>1.205943</td>\n",
       "      <td>-0.690958</td>\n",
       "      <td>1.524040</td>\n",
       "      <td>1.343526</td>\n",
       "      <td>0.181244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.771431</td>\n",
       "      <td>0.766857</td>\n",
       "      <td>-0.820017</td>\n",
       "      <td>2.680346</td>\n",
       "      <td>4.410127</td>\n",
       "      <td>3.324117</td>\n",
       "      <td>0.615998</td>\n",
       "      <td>-1.491204</td>\n",
       "      <td>7.077849</td>\n",
       "      <td>2.425002</td>\n",
       "      <td>0.084599</td>\n",
       "      <td>-1.488464</td>\n",
       "      <td>9.338996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.596702</td>\n",
       "      <td>1.154384</td>\n",
       "      <td>2.944537</td>\n",
       "      <td>0.779938</td>\n",
       "      <td>2.896458</td>\n",
       "      <td>2.816099</td>\n",
       "      <td>0.208907</td>\n",
       "      <td>-0.834250</td>\n",
       "      <td>0.784773</td>\n",
       "      <td>0.007492</td>\n",
       "      <td>1.044226</td>\n",
       "      <td>0.891132</td>\n",
       "      <td>0.131669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.874976</td>\n",
       "      <td>2.685548</td>\n",
       "      <td>0.860755</td>\n",
       "      <td>1.566225</td>\n",
       "      <td>-0.684253</td>\n",
       "      <td>2.862180</td>\n",
       "      <td>11.682982</td>\n",
       "      <td>-3.086148</td>\n",
       "      <td>0.649652</td>\n",
       "      <td>-0.126518</td>\n",
       "      <td>1.524040</td>\n",
       "      <td>1.660202</td>\n",
       "      <td>-0.020041</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>-0.505405</td>\n",
       "      <td>-0.327606</td>\n",
       "      <td>-0.688181</td>\n",
       "      <td>-0.428951</td>\n",
       "      <td>-0.409691</td>\n",
       "      <td>-0.465348</td>\n",
       "      <td>-0.239484</td>\n",
       "      <td>0.752287</td>\n",
       "      <td>-0.234387</td>\n",
       "      <td>0.128256</td>\n",
       "      <td>-2.026581</td>\n",
       "      <td>-1.913715</td>\n",
       "      <td>-0.239813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>-0.506460</td>\n",
       "      <td>-0.534359</td>\n",
       "      <td>-0.510961</td>\n",
       "      <td>-0.414845</td>\n",
       "      <td>-0.371698</td>\n",
       "      <td>-0.399046</td>\n",
       "      <td>-0.238068</td>\n",
       "      <td>1.116194</td>\n",
       "      <td>-0.211417</td>\n",
       "      <td>-0.969402</td>\n",
       "      <td>-0.539159</td>\n",
       "      <td>-0.936543</td>\n",
       "      <td>-0.271805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>-0.506573</td>\n",
       "      <td>-0.422200</td>\n",
       "      <td>-0.909049</td>\n",
       "      <td>-0.529043</td>\n",
       "      <td>-0.713111</td>\n",
       "      <td>-0.469257</td>\n",
       "      <td>-0.239484</td>\n",
       "      <td>-0.933934</td>\n",
       "      <td>-0.233913</td>\n",
       "      <td>2.830023</td>\n",
       "      <td>-0.395215</td>\n",
       "      <td>0.162776</td>\n",
       "      <td>-0.271548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>-0.506797</td>\n",
       "      <td>-0.479761</td>\n",
       "      <td>-0.909049</td>\n",
       "      <td>-0.529043</td>\n",
       "      <td>-0.470576</td>\n",
       "      <td>-0.470009</td>\n",
       "      <td>-0.239484</td>\n",
       "      <td>-0.806627</td>\n",
       "      <td>-0.219896</td>\n",
       "      <td>2.934352</td>\n",
       "      <td>-0.011364</td>\n",
       "      <td>-0.122232</td>\n",
       "      <td>-0.077503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>-0.507740</td>\n",
       "      <td>-0.537702</td>\n",
       "      <td>-0.502428</td>\n",
       "      <td>-0.428951</td>\n",
       "      <td>0.453143</td>\n",
       "      <td>-0.444864</td>\n",
       "      <td>-0.061012</td>\n",
       "      <td>0.973274</td>\n",
       "      <td>-0.231593</td>\n",
       "      <td>-0.207183</td>\n",
       "      <td>-1.546768</td>\n",
       "      <td>-1.402509</td>\n",
       "      <td>-0.165937</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>190 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Overall Jokl Rank  Athletics   Cycling  Gymnastics  Shooting  Swimming  \\\n",
       "0             7.558384   7.935746  1.464145    3.330825  1.748549  6.960005   \n",
       "1             4.436000   3.741921  2.950820    2.842430  0.179178  2.801816   \n",
       "2             3.771431   0.766857 -0.820017    2.680346  4.410127  3.324117   \n",
       "3             3.596702   1.154384  2.944537    0.779938  2.896458  2.816099   \n",
       "4             2.874976   2.685548  0.860755    1.566225 -0.684253  2.862180   \n",
       "..                 ...        ...       ...         ...       ...       ...   \n",
       "185          -0.505405  -0.327606 -0.688181   -0.428951 -0.409691 -0.465348   \n",
       "186          -0.506460  -0.534359 -0.510961   -0.414845 -0.371698 -0.399046   \n",
       "187          -0.506573  -0.422200 -0.909049   -0.529043 -0.713111 -0.469257   \n",
       "188          -0.506797  -0.479761 -0.909049   -0.529043 -0.470576 -0.470009   \n",
       "189          -0.507740  -0.537702 -0.502428   -0.428951  0.453143 -0.444864   \n",
       "\n",
       "     Coastline (Km) (2018)  Temperature (1901-2016 [C])  \\\n",
       "0                 0.936007                    -1.417942   \n",
       "1                 0.493812                    -1.237790   \n",
       "2                 0.615998                    -1.491204   \n",
       "3                 0.208907                    -0.834250   \n",
       "4                11.682982                    -3.086148   \n",
       "..                     ...                          ...   \n",
       "185              -0.239484                     0.752287   \n",
       "186              -0.238068                     1.116194   \n",
       "187              -0.239484                    -0.933934   \n",
       "188              -0.239484                    -0.806627   \n",
       "189              -0.061012                     0.973274   \n",
       "\n",
       "     GDP (US Billion Dollar)  Elevation (Feet)  Status of Women  \\\n",
       "0                  10.690428         -0.642652         1.236152   \n",
       "1                   1.205943         -0.690958         1.524040   \n",
       "2                   7.077849          2.425002         0.084599   \n",
       "3                   0.784773          0.007492         1.044226   \n",
       "4                   0.649652         -0.126518         1.524040   \n",
       "..                       ...               ...              ...   \n",
       "185                -0.234387          0.128256        -2.026581   \n",
       "186                -0.211417         -0.969402        -0.539159   \n",
       "187                -0.233913          2.830023        -0.395215   \n",
       "188                -0.219896          2.934352        -0.011364   \n",
       "189                -0.231593         -0.207183        -1.546768   \n",
       "\n",
       "     Democracy Index  Population  \n",
       "0           1.090185    1.938201  \n",
       "1           1.343526    0.181244  \n",
       "2          -1.488464    9.338996  \n",
       "3           0.891132    0.131669  \n",
       "4           1.660202   -0.020041  \n",
       "..               ...         ...  \n",
       "185        -1.913715   -0.239813  \n",
       "186        -0.936543   -0.271805  \n",
       "187         0.162776   -0.271548  \n",
       "188        -0.122232   -0.077503  \n",
       "189        -1.402509   -0.165937  \n",
       "\n",
       "[190 rows x 13 columns]"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer = KNNImputer(n_neighbors=2)\n",
    "After_imputation = imputer.fit_transform(SportScSK)\n",
    "SportIm = pd.DataFrame(After_imputation, columns=SportScSK.columns, index=SportScSK.index)\n",
    "SportIm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot matrix to visualise the data during the various pre-processing stages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'kNN Imputation')"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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UvBYRERERyZi735K/zMzOIqTVPBL4CSEIe2L+esm6KwN3EALfAG8AdxHmepwEfJmz+t8JDfddUqqTG5TeijAHKcwLXj+Y1HmOmT0C7JA89w8zWwDYIlnv8UJzcNdYS87vsVGNf2Ve4HoWcCfhdY8nBJjmJs9tTXj/If39KseJzAvCzAXuIwT430v2+1Xy3BrA6RnuV0TqzN0tg2KKnUOrSX2dlu2hHF1zfqaN5K3EhcAvSeanNrPz3P3DagtNOl6dQUg1vQjw22Q/NZekbX8meZxnZvsB1xAymixGmJ/59zmbtAaR5ybzQJfNzPYnBOxbPUzocDAOmEboZAYhRXvr/NP1uOakdsQrUWtGmWKBa5g3h7qIiIiIdGAKXouIiIiI1IG7u5kdDWxMSJH5azP7r7s/EVn9BOYFrs8Afpc2qsnMLi2y3zlmNhrYHtjEzBYijNBbNVkldx7rkcwLXgOszbzRfI2a7xrmn7PzydwnkvSpP07+/ADYMiflOXnrDsyqQmbWg/B/ghA02Mrdo2nIzeyr2HIRkTzTk59zgB7uPqfQyjWwM6HjVE/gGjPD3f9VZJui3P0LMzudMF9xD+Bk4PBqy01cDBwDLAccbmZ/dvd3Myq7ZO5+nZltSeicBmE+7Nzgdev83F3MrHuFAezTkp9zgO+5+12xlZKpLNqTGYTg/sIlrJs2dYqIiIiIdCClprYTEREREZEquftcQiM7hHvxc1NW3Tb5OQE4uUDguhdhrs9iWgPP3QmpTVuD07NJUqDmrbeUmX2LJpjvOknNulfOolF5q2xNGOkGcFZa4DqxfIZV25h5jeiXpAWua7BfEem4WtOKdwVWqffO3X0UsBMhmNiFEMDeN6PiLwPeTn7/sZmtlEWhSar24cmf3XJ+b4T7c35fOu+5D3J+X63cgs1sRWDF5M9b0gLXifZ2zWkdhb+kmRULYK9Y5HkRERER6QAUvBYRERERqSN3f5h5QeLNzGynyGpLJD/HFpoXmxDkLuWefmTO71sxLyidnwr8GeaNDtuKefNdfwk8XsJ+auEQ5gUBPgPy52BdIuf3tyls+yLP577XxVIEZ7lfERGYv3PO7o2ogLs/BOxIGAXeBbg6iwB2kmb75OTPrswbRZyFK4HXk98PNLOyg8MZmZ3z+/S85x7O+f17FZTdka85Tyc/c6cqSTO0tlURERERkWag4LWIiIiISP2dmfP7KZHnW+d9XNHMokFUM+tCypzZEU8TUlvD/EHp+VKBJyPDWxvYt2VeI/Jjlc7RWQ0z2wT4U86ic909f77L3DkyBxUoa1dgrSK7zA02FEtNWup+1wV2KVKWiAjA9cwLgB5tZks2ohJJJ6udmD+AvV8GRV8HvJj8vi9haoqqJdeuk5I/uzB/uu6KmdkAMyun3Sw3KP1q3nP/AlqnkDjSzJYqszqlXnOWAQ4us+xGy+2UljpnuZl1A35a++qIiIiISKMpeC0iIiIiUmfufi9hlDPAtyOjr59Kfi4GHJW/fZJK+1LC3Nml7G8u8Ejy5ybAysnvsXmsW5ftCvRJfh9Zyn6yYmZ9zey3SV1a5/6+h3ia9adyfj/OzPrlr2BmGwKXF9uvu08CpiR/DknrOJB4Ouf3Q8xshch+Vwb+jb53iUgJ3P194MLkz0WBewql17Zgm+R8mXVdHmb+EdhXVRvATqbAaK2rAUdWVcn5y/43887L3weWzaDYPYFXzOwQM+udtlLyf/gZ8weNr86r3/uE6zaE/+2dZrZcgTK3NLO+OYteI6RzB9jVzL4d2WYJQiC4V/pLakr/BcYmv+9gZr/OXyHpsPd/zLt/EREREZEOrGujKyAiIiIi0kmdCdyU/D4cuDPnuQuB7ZLf/2xmQwnB288IDbc/TH4+mPxcpoT9PUgIRLR+B0hLBd4avO4aWZaV5cxst5y/uwJ9CenBNwS2ZP6Rz7cBB7j7nEhZjxE6AqwHtACvm9nFwBuEwPfWwD6EQMm1wA+K1O0BQrreQcC/zOxmYHLO86Pc/Qt3H5889/2k7i+Y2SWEUYULEDoJ/JAwz/iVye8iIsWcAAwBtiFki3jVzP4LPAR8DCxISCG9NuE6sTRhruUzsq6Iuz9iZjsAdwOLEALYuPt1VZR5u5k9SjhHFstwUa4Tgf8lvxebO7lUqxKCzhea2UOE6+a7hI5OPYFvEUZcr5GzzTXufk+krGOBDZLHEOANM/sX8CgwiRB0HkwY9b4asALJ9cfdZyfXmGMIx8BDZnY5oQPXV8C6hOB5X9rZNcfdvzKzQwn3OV2As8xsR+BGYCKwHHAg4fNwE6FTAcw/1YeIiIiIdCAKXouIiIiINMZ/CAHWbwEbmNnO7n4HgLvfZmZnEoIYEBrG8+fIHE0Iyj5FaUbm/f2ou8+KrPc88DnQOoL5C+CJEvdRqtx5twt5GTjb3a9KW8HdPZmP9QHCSLvFmTevaqtZwM8IDd3FgtenATsQAt97JY9cKwDjkt8PI3QeWJMQdDgub92vgd8RRr23m0CCiDROEsjbiTBlwk8Jgco9mRewixlfw/qMTgLYdxHOc1eZmbn7tVUUewLzz++dCXe/18wepLTrSyneZ971sDvwneSRZg5wHvCblPp9aWZbA/8k/D+7Awclj5j84OxvgXUIr28hwvGRn0b7EuBs2tk1x93vN7MDCVlSuhM6sW2Zt9pDwOHM+yxMQ0REREQ6JKWvExERERFpAHf/GvhjzqJT8p4/kTBS+g7gU8LIqo8IQdpDgaHuPrGMXT4LTM35OzqaOqnXQzmLHnX32bF1MzSTMKLwNUKa7ROBDd19zUKB61buPobQoH9mUsaXhFS3bwAXAeu6e9G04UlZzxNGcf8j2X5mgXU/AzYiBGKeS9adCbxNCE5s4u6ZzL0qIp2Hu8929yMJo37PInQgmkgIjs4kpFi+k3CuXMvd04KfWdVnNKFTzzTCyNgrzaxYR6BC5T1EGM1dCydmVVDSoWxxQgaP0wgB/LcJ15evk5/vEV7LCcBK7n58MlVHWpnT3X0vYFPg74TrzDTC//YzQjaRs4F13P29vG2/JATPf5asN43QOetd4AZge3c/nHY6IjkZ0b8GcDHhGJ9FuP95BPgJIRtB7iCcSfWuo4iIiIjUh4Uph0RERERERERERESak5l9F7g1+fMYd/9LI+sjIiIiIrWhkdciIiIiIiIiIiLS7I7I+X1koyohIiIiIrWl4LWIiIiIiIiIiIg0jJnlz3Gd+9wCZnYW8+Ycf9Ldn6tPzURERESk3pQ2XERERERERERERBrGzOYQ5rq+G3iJMKd1d2A1YC9g5WTV2cBGCl6LiIiIdFwKXouIiIiIiIiIiEjDJMHrLkVWmwTs7e7316FKIiIiItIgXRtdAREREREREREREenUtgZ2BIYCSwGLAt0IAetXCSOyL3H3qY2qoIiIiIjUh0Zei4iIiIiIiIiIiIiIiIhIwy3Q6AqIiIiIiIiIiIiIiIiIiIgoeC0iIiIiIiIiIiIiIiIiIg2n4LWIiIiIiIiIiIiIiIiIiDScgtciIiIiIiIiIiIiIiIiItJwCl6LiIiIiIiIiIiIiIiIiEjDdejgtZkNNTOPPFoaXTcRATMbHvl8jmt0vSSdzqudi/7fIvVjZsNin7cyyxgZKWNEjaosIiJFZHFuF+nMdG8j0n5k0cZnZuMiZQyvTY2zZ2YjIvUf2eh6ScdjZluZ2Zlm9oCZjTWzz81srq6Z0pF0bXQFRESkMma2GLABsArQN3ksAnwJTAemAe8BY4F33P3DhlRURJqWziMiIiIiIiIiIs3PzLYH/gQMbnRdRGot0+B1MhJrbAWbzgGmAJOBz4GXgaeAJ9z9mazqJ/VV4vHwsruvWYN9L5fsu1B2gXfdvSXrfYvUkpl9CzgM+D7QUua2nxLOrU8BDwEPu/vsrOsoIs1N5xGRji8ZoXJKBZvOJHwvmwJ8BDxD+Lw/7O4fZVZBERGRdigZRbp8gVV2c/f/ZrSv4cSv5eu4+/NZ7ENERNoPM/s1cCZgja5Lqwq/d84GZhEGTUwCJgAfA28CrwMvAK+4+9fZ1VTao2YZed0VWDR5AKwPDAMws9eBS4B/uvuUhtSuyaSkS7mlnd68rmFm69Wgk8JBdPC0+BDS0NE28PC8u99S98pITZnZSsBfge9UUcwAYMfkATDDzB4EjnL3t6usoog0OZ1HRKQECyePpYBVga2S5XPN7A7gYne/q1GVExERaXJnmNltanAXEZEsmdmuwFmNrkdGuiWPXsBiwLci60w2s0eA/wD/cffP61i/hlCcp61mCV4XsirwF+B4M/uRu9/T6Ao1gVhvlnHA8/WtRmYOIozqyNIPMy6vWQ0DtsxbdgVwS91rIjVjZkcBfwB6ZFx0T2AX4HxAQSeRDkznERGpUhfge8D3kiD2Ie7+cYPrJCIi0mwGA/sDVzW6IiIi0jGYWVfgopSnvyZkMR5DmPrN855/pIZVq6W+hLamXYCLzex64Fx3f7GhtaqtYSjOM5/2ELxutTRwt5md6u7DG10ZydQPzOy4rNKOmtnmwEpZlCXSaGb2N+DwRtdDRNovnUdEJGM7Ay+b2Xfc/dlGV0ZERKTJnGpm/9LUOiIikpHvA8tElt8D/MTd361zfeptQeBA4EAzuxo4Xh2pO4d6Ba8/Ae4u8PyCQH/CsPhVi5R1iplNdPe/ZlQ3abxFCb1obs6ovGEZlSPSUGZ2EoUDTpMJ6VNGAS8CHwLTgDmEc2p/YBCwAWE6hs2BRWpXYxFpNjqPiEie0YRe+WkWIXzu105+plkUuNPMNnH3dzKsn4iISHu3AnAY6aPkREREyrFzZNl4YA93n1HvypSo2PfO7sljAGHKquUJ2b6KOQDYxcwOdPfbq66lNLV6Ba9fd/dhpaxoZosRgo/HAEumrHaBmY1up3M8C3zGvPnNWx1EBsFrM1sY2Ctv8RxgBtCn2vIlW0kWheENrkZTMrP1SH9vpgO/B85z91kp63ycPF4FbkvK7E6Yp3ZPYDfCnJYiqdx9JGCNrodURueRzsfdhza6DtL0/uHuI4qtZGYGrAP8ktBAsEBktSWAG81sfXfPT08nIkDyeRvR4GqISP2dZGb/bOKggkhTcveWRtehGkn8Y1iDqyEdz4aRZdc1+TWmpO+drZK2ptWBLYAdgG1JD2b3BW41s1+5+7lV1lOaWKwRoqHcfaK7nwOsAdybstoCwJn1q5Vk7L/AzLxlO5nZ4hmUvQfQK2/ZXYSRZSLtyR+IX6Q/BjZ19z8WCDhFufuX7v4fd98fWBY4gdBTT0Q6Jp1HRKQiHjzr7gcB2wGfpqy6LrB3/WomIiLSLixB6AAmIiJSsaRT8cqRp56rd11qKWlretbdz3P3HQjtTX8kDLyIMeAcMzuqXnWU+mu64HUrd/8M+B7wdMoqO5jZunWskmRnGm1HWXcFfpBB2QdHlo3IoFyRujGzlYDvRJ5yYG93f7Hafbj7JHc/i5DS7IlqyxOR5qLziIhkxd0fAHYF0ubu/G0dqyMiItJs3iO0c+X7lZkVmoJDRESkmF7EY3hpnYs7BHf/yN1/Q5hi+K4Cq/7JzLauU7Wkzpo2eA2hxwUh1UZaGrod61cbydgVkWXDqinQzJYHhuYt/gzQ/AfS3nwvZfl/3P3hLHfk7l+5e+yLtoi0bzqPiEhm3P1R4LyUp9c0s2XqWB0REZFm8jnwp8jyPsCv61wXERHpWHqnLE/rWNyhuPt4wpzfaenBFwCuMTNNF9sBNXXwGsDdXwHuSHl6u3rWRTL1AKF3aq61zWxIFWUeRNu5Wa9z905xMpcOJTaXCcBNda2FiLRnOo+ISNb+BHyd8ty29ayIiIhIk/kTMDGy/EgzW7relRERkQ6ja6Mr0GjJlFbHA39LWWVJ4Hd1rJLUSXs5+O8BdoksX7PeFcllZgMJI5s2I0wovxywCCGAOgP4AHgdGA3c6u7vVLifESWsdoiZDS2xyFvc/ZZK6pIVd//azK6ibZrBg4DnKyz2h5FlIyosqyRmthqwBWGO9lUJqVP7EHpFzQUmJY/3gEeAUcBT7j6nwv21pstotWpktc1KPGYAXk9SvlYlSYX1XWAbYDDhs9CL0MD5AXCnux9V7X46kRVTlr9Z11pUycy6EXrH7QysA7QQPhvTCV/s3wPuBe5w95drWA8DNiakUN4IWAlYHFiY0FNxCjCWcO4ZmdRnRq3qI+nMbGVgD2BLwnV1UWBBQjqkCcAzhHRB97h72rw3WdSjO7A5sDZhnp2ewBeE4/Y14GF3/7hW+89Iuz2PmNmChEwqWwLrEV7LEoTP7NfAVMK19XXgFZLrq7vPrHK//XP2uSqwCjCAcN7qBkxO9vsp8BTwEPBQMtVNp9Ms5/ikLoMI9+PfAvoT7sWnMu/c/oS7z61lHToDd59gZs8RPiP5MvleZmZrEb73bUL4f7Zer6cCbwPD3f3OEstaCNge2JowN/eKQD9gIcI5/bOkzCeB+4AH3T0tOJ8ZM1uOkEFsY2A1wn1z76ReMwipZ98jnN+eA+5z90zP3Wa2PvPfFy1FuNZ5sv9xwIuE+6L/uvuULPef1GEJwnfp9YAhSR16E75DfAXMTOryflKfNwlTVDxRbX3MrAfh3LUh4fyV+x3Ok33PAD5K9v02YTqzx939g2r2XWtJZ/DvA5sy/zlxIuFe6jHCvdR9tezkbWa9CNfUNYGlgR6E9/QTwrH9kLt/Xqv915KZLUW4TxlCuF9YmfA+9wa6EEbhTiK81scJ9wuPNCJLTdJmtQfhe/oahHPqQoTz30TgJcLxcKe7T6pRHRYgnIu/B2xAOBf3AmYR3qc3CMflze7+fC3qUA/uPt3M/gD8Je+pHsDJwOH1r1VhzXqdzKtjZvcFkbK7Eq7HuxCuBa3H5hzC/f4LwP+Aa8o5X5nZmsBehGvs6oT3dAHgY8I17W7g3+7+RiX1LrLvdnN+ypqZ7QbsVoddHefuTZGuOTm/bks4v64PDCLcz3xJOMePBx4knONrOs1Xcr3ZknDcDSC047Te075IOM7a9eCyesWBpKBfEs6t60SeO9LMznH3TyotvLPFedpFG5i7Z/YgNFp55DGyynI3Tyn3a6BLge2GpmzXUmV9NiCkop6bUn7aYySwdQX7K2cfpTyGZ/l/r+B4OC95fqXIcxOABSvY1xaRsl7KeX5c5PlxFeyn9eb2CkJjRiXv/3vAEUD3CvY/MuNjIfWzybyU/fM98tYZAPwfoYGn0H6eT9nH8Er+L4QGmdh+PgOWrfK43ZlwbskvezJVnjvKqMObKa9vlXrsv0jdhqbUrSVnnQWAnxFulEs9Fm8BVs64rl2Bw4AxZX4uZgAXAktXsM/9I+V9BfSqoKxHU+r3egVlLUgIKOWX9bNq/98l7HtkZPsReesMSo6B2Gcv9vgE+AkF7gEqPGZWBC5Nea9yH18Tbtq+FynjVkIDd+7jsAZ8Vpv2PFKgzgMJqaAmlfmZdcIX9P8SzuELlLHPVQnXoufKOP5yH7OAvwODMnj9w2L7KLOMop+3ItsX/czTPOf4BZL37LkS9v8pcDawZF4Zu0Q+r083+rOQ0fszPOW9GFZluZellHtFNccl4fvewyX8L48qoY79gT8QGmjL+TyPB44FetTg/2HA7iW+xtjjbULwY2AVdehGuC96o8x9f0kY5VD2fVFKPdYlfJf+qsL3Ym5yTP0UWKjMfS8JXEzouFjJvh14FTgFWKrEfQ6LlVNmvcdFyhgeeV8fLON1vAPsVYNjfQhwPaGDaKH9f0XIsLdFpIw252Vgl6zrWubrWg84h9CJsZLjZlqy/ZIZ1GVEpPyReessAfyzhP9D62MqcCIVtFEUqetehPNXqe/Tg8A6eWWMjKw3ooHHQuzz+Hzy3ELAuynH+0oV7Gt4yvs0pMrX0NDrZCn/U6q4L0hZb1jeOsNS/lexx3TgeIp89yS0FT9QYplfE75D9MvgmGym81PsmB2XwWdseBWfl6wfLUXqMSKyzcgyXn9Lyn6H5q23D+nf+WOPUcB61f6PI/XdjdA2Umz/U4FLyPvenBy/set+SfdZ9XhQxzgQ6d/HK30MrcV7UuJnb1iN9vftAq/3d2WW1WniPDn7bJo2sJLeo4wPnpZK37gi5a5W4A1brMB2aR/4lgrr0R24qMJ/bO7jGqBPGfvN8iB2miR4nazzSOT5NsGAEvZ1eaScY3OeHxd5flyZ+xhM6LmW1f/hXfK+mJVQh5EZHwupn02KNLQQevd9WuJ+nk/Zx/BK/y+Ez2JsXw9TYUALWKbAa9qzHp+bpB6vptRhk3rVoUDdhqbUrSV5fkAVx+lMYPuM6rkGpQU0Cj2mAD8uc79LpZRVVoMbofdmoUbdZcosb7OUcr5Vzf+7xH3HjocROc8fRPEOMGmPO8igkY0QBDuRcBNWSR0WzylrXGSd4Q34rDbteSRS1y7AbwgdR6r5zLY+flHifu/KaH9OGKHxqyrfh2Gxsssso+DnrYTth6a8vpbk+WY5x69KyMRQbh0+Bw7I8j1v1ge1C17/MaXcOyo5Lgmf/z9T+vero4rUb3dCB6dqPs9vAhtn+L8YTBiBkcW5ZlKFddiUyhu1Wx+Tcz8/FdSh9X9dbsNfoUdLGfv/YfIastp3SZ8l6hC8JlxD51T4Oi6ljE5fBeq4EHBehf/fEUDPnLIqfr9r8cjgs5P7mEkVn6OkPiMi5Y7MeX57KusI6IRRNf0zeM96AtdVWIevgF/mlDUydsw08HiIfR6fz3n+4JTXdW0F+xqeUtaQKurf8Otkof8pGdwXpKw3LOfYvLXC1307sHDKazqRys7DY6liAAbNd36KHbPjMviMDa/i85L1o6VIPUZEthlZxutvSdnv0OT5hYEbK6z7HDK6nhKyqtxbQR2+YP72+qGVvM/1eNCAOFCB96PSx9A6vE/DU/adybGWss87Uvb5dhlldKo4T7K/pmoDK+XR9HNeJ/LnMa5/BcwWJfRS+jnV1+cHwONmtnzVFWv/rogsG1ZOAWbWE9gzb/Ec4OoK65SmH6HRNivLAY8kqW3aFTPbnXDCW7SB1TiWeIr5zYDTyi3MzLoA1xJ/TX9z93rOE5uWfmPzOtahbEmKqscJKUcq0QO41cy+U2U9diSknhtSTTmENCn/MLOLktTjRbn7R4QvkPm2KXPfW1J4ao+tyywvtv8PvQapysphZr8ifLnrUWEROwG3J5/fSuuwEOHL3xmEUWmV1OFRM2uptA410i7OI2bWj/Cl90zCF/EslHp/u3JG+4PQ0PZHM7uymuOxmTXROX4rQvrKdSvYvC9wlZlpPqzKZfa9LEl1eB1wdBblJv/XmwkpRauxMjDSzA7IoE4/IByvm1RbVqLs7+9m9nNCw0gsDV05+hA+P7+voA5dCd/NjqaC11AtMzuC8L2zT733XWtm9lfCNbTSa88hhI7g1dShL3A/IZVjJf/fg4AHk9SFzSjL+4UehM/RHzIs8xtmth+hQbdfhUWsTzj/9aqiDr0IqZb3rbCIrsB5ZpY/xVx7cSUhbWy+fc1s7XpXJlczXidzZX1fECl/YUL68+9WWMTOwDX5bQNmdiHhu2Ql5+EW4IGkzbkS7eb8JNVLzq8P0rYNvFRdgMvN7OAq67EmYXT0thVs3h0418z+UWo7WyMoDtT0LklZvqKZrV5iGZ0xztPu2sDay5zXaRdxJ/QorakkOPo/CjeSfUmYL+hDQuB0IKEHR9pN/6rA/Wa2ibtPyLC67c2/gPOZP3Cxi5kN8NLnENmTtu/zPV7FHAcVmENIwTeR0KN/BiHwNYAwz9ciKdstDFxnZht4jeeDzEoyj9q1tD1/zCV8Bj4ifC57EuZKWK0W9XD3WWa2N/Asbd/f35jZSHe/t4wiTyUe1HkROKbCalbqvZTlPzWz89x9Vl1rU5rWHsyD8pY7YQToB4RgWt9knW+llNMN+KeZrebuU8uthJkNBf5DGP2R5iNCb/GPCZ/TZQnn67Qb0p8nP48osRr30/a4Lzd4XSw4vQ2hYaSa8u4vY/vMmdkPCSP48n1OmAtxAuHcuiQhlVTPlKK2AY4C/lRBHYzQmP79crfNMwi408w2rrKcLDX9ecTMBhBS6xWbK3cCIb3pJ4QRAf2BxQif20Kf9Wp8SBgJMYVwXV+IEPRYlZClI82BhB63HS042izn+A0JjfKVdnhpdZqZfUwY3SXlSfteVsncf2cQUsrm+5xwXE0gfMcaAKxNgcb2ZL6wYp0X3yR8Pj9LyhoEpDUidQOuMLPZ7n5DkXLT6nQ4YXqdQg1ecwmd3j4mfI/oQTjHrUC4P6lK0kksdq3N9T7wFvM6PS1BeL/TAr2/NbMp7n5OGVX5FYUDWbMJ07yMI6QvnUO4R+tDmNKj0Hm3IDPbBLigwCrOvHmtJxOOuZ7JvpcmNPI0ZackMzuZMI1Dvk8I300/IdR9SUJQMq2T3kFmdpu7/7uCOnQnnJer7aCxAfDvajs4NcBYQirlyYR7hoUJ18LBFA4QnmBmb7v7ZVlVxMy2IXTSyD9eZxC+004gjHhbnDBXZFqAe01CSukjK6hDF0Kn0ELHQ2vb2XjCOXAZwvuV/53+dDN7tdw6NJq7zzWzk4D8zu9GeF93rn+tmvM6GZHZfUGKqwhzpeZywvH4AeEzvCiwFuG8GbMboX3gIgAzO5F4O8G7hOvaRMKxvRLpnchWIlyrDyntZZSsac5PkokFgH8TUibne4twzLUeb8sTzuWxe1ADLjSzB9z93XIrYWaDCG1Ji5W7bZ4fE+5Tymm3rQvFgdqFOwnfGWLv93cI14xqdJo4T47mbAPLeMh+CxUMWS+h3CNTyv2syHZDU7ZrKXP/F6eU44TG4YOB3pHtegB7UziNy60VvB+xcobVeph+hsfDeXnrXRNZ58gy9vNgZPs989YZF1lnXJmvJzft7lxCyvOjCUGV1PnWCDcYGxJSsqXNOfUy2c2NMCKj/9+wlLq+EPkM/BhYNKWcgcCPUp4bnsH/JTbHsBMaAUuas4cQ/IqluJtOkbTKNfrsHFbgnHFDoeOtDnUbmlKv+/P+/gT4Rdr/gPAF7doCr/O8CurWj8JzsN5KGDFokW2XS47HLwpsv0eJ9dgtsu3X5KSWLqGM5wvUw4EPyihrYeLpsIdV8f9uKWP/IyPbP0bbFNH/JZxn26T9J9w0HVjg/zuDyuYoP7bAezyH8OVwb0LDdWtD9qrAj4B7IttcTvOkDW/a80hSv27Epw5pfcwkNOKsH/vMJmUsSGjsPpX55/s6qsQ6jMnZ5j1CZ7rtKTAlTbLd0sBxKf9rJ1xPhlbwngyLlVdmGbHP24gyth+a8pqa4Rzfm9CwmFbm28mx8G1Cg2M3wpeszQmdW/LnsPqC0Ihc1XverA9qlzY8LV37n8o8Ll+m7b3XHckx2DVShiX/yy0jz20SKSv3XP5nUu7nCOeYKwscV1OpIG0hYVRXofTJTwD7UWCuS8JUJHsTrkWt9yeTy6jDvgX2PxE4iZS5ygidVLclfb7R2cD6JdZjIOnTQjwM7EpKGtacMvom9Tmf0Jmpdfui/xvS76neAQ6nyP0ZYYTQ+oQGmadyti/ps0Tt0oY/mHeMzSXMcbwu8XvdXoTz9ucp78eHVDCPLXBhgeNsJuHz9V1CJ4TuhM4ZaxDaeB6NbHNySllVnbuqeTB/KuDXCdeOoUDfItutSLguTUh5TTOAVSuoz4hIWS8Tvv/mLhtFuK9pc89H+Ix/N3k9sbrNBdatoG5HFzgePiIE5/pEtluY8L3+nbxtPiEE3vPLGtHA4yH2eXw+st6TKe/DZmXsa3hKGUPKrHNTXSep/X1BrJ6j8v7+nHA/3+ZeNil726ROsbImEb4XbplX5znAX4HBKa/7W8BtKWV+DWxQwfHYbOen2DE7LoPP2PA6f84PTHlfZlP8vmFEZLuRZey7JWXf+d/HphLuTaKfP8J31gtJT2d/SwXvS1cKT8/3EXAu4bO5DOH72FKENvHTCN/X8o/7U1LKKuu8kvH/v2FxIEJ704i8x00pZd0dWTf/UfbnuIL3a3hK/YbVeL9p59OrS9y+U8V5kvKbqg2spDpnfNC0pLyAkTU6GAuWSzaN7juklOGExt82J6tIGd0pfOIrd07Vup8QMj4ezstbb7vIOs+UsY/8uSc+A7rlrRf7cI0r8/VsRuh5ciYVBEmSMtYijCiMvS8/qaC8kZFyRmT0/xtW4JhtfVxBkcamIvsYXu3/JSnnspT63UeROdwIo0vyG7RbHz+s52cmp07LUXi+pFcII0Urmtu7yroNLeG4+A/Qq8TyjkopYwplNqAB16eUNRs4qMQyViO9EWcisEQJZfQl3jiwb4l1GEBpc+qU1LGCcCMS2365Kv7fLWX8X0YWeR1TgZ1KLGtJ0r8InFjm8bIC6Y3pL1NC40Hy3r4fOd7yyxter89oTt2a9jyS1O/sAnW7jTLndU/K3JJw3v9lieu/RZi7bvMKX0NP0u/vHqugvGGxssosI/Z5G1HG9mmf+WY4x/8tpay5hJE6BTtkEILfl+ZtG53nvhGfiawf1KARgTBKJ63xO7XclOMy9/EleR1Py6hTz+SzHCv3A0psCCYEcaanlDOKMuYEJny5T5tvdhpwACmdcgqU2ZcQ1CtpHjfCd6S013MtsEgZ+z6K+H3J65TQKEN6R7HTqzgWtyd0Ilu+yHrrpez77nLeg7wyVwf+Qen3dcOqPc+Q3lDU+viojGN9VdK/+/ygzHptTPo54RFg5RLKOCDv8xI9L9PY4PWXhA73QyrcfgDh2hl7XddVUN6IIsfDbFI6j0fKWoT0Tip/L7NeyxHOcbGy7iKls3ukPqXMlT2igcdD7PP4fGS9bVPq/nAZ+xqeUkbJxyLNeZ0cWeT/W/F9QVJ+sePnUYo01Occj0+klHE8838v/YgSO3yQ/v3h8gpea7Odn2LH7LgMPmPDKz0eKngNW1DFtYjaBa9zH6MpoW0qKW9PQrap/DLmUuZ868CvC9TpUorESAiDEv7A/PcOae91S73+53l1bMY4UNoxMbQR71GkfrHPfUmflyr3+7uU/b5a4vadKs6TlN9UbWAl7TPjgybtwzSyijJXJ/0L0W+LbDu0mhMgoSdFfq+g1sdtRHr/FSjLSP+SMZnyGhDqfkLI+Hg4L/I+5zf+O7BmCfs4JbLdRZH1xkXWG1fm6+lHCRepEspZnPlHiLU+XqqgrJqd1CgevB5BmQ1vkX0Mr/b/kpSzMOkXi5MKbGeEVDCx7a6o9WekyGsq1Lu59TGekI7ye5Tw5Sujeg0tUqdrKTMYRjz7ggP7Z1Cvrym/IW7ZlHOSA5eVWMZTkW0vLXHbvSLb3hlZ9rMSy/tjZNu3qnxfW8p4P0cWOF5mAOuV+f9ZnXiAuKTXlFPOHSl1eokCI+Ei5bRQeMS/04DgdVK3Zj2PrEl6YP2f5Z5DIuWXFBSlSNCjjP2dl/JaShqVmFPOsFg5ZZYR+7yNKGP7tM98o8/xG5LeqefQMutzRrHPRdbHfCMe1CZ4fVaB9y21w0nKcdn6+Ar4Tg1e52fA6mWWtT3pvecPLKOcG1LK+JQKRlXllV3q+S3tGndWhfv9SaWfP+JZskbV6XNwSmTfkynjOp9BHYZVe56hcPD6Y2CFMsuLdR534N4yyjDCPVOsnPspI8MLoZPB1AKvsapzVwb/w+UzKKMLIYtC/uuaDSxVZlkjCrxPc4FdyixvMeIj8qdQRkd1wpRwsTo9Wuq5Kymna4FzWOtjRAOPh9jn8fmUdfNHSrY+di5xX8NTth9SRn3TymjkdXJkgf9tVfcFSfmFjp0ngJ5llLUi8eBa7neZz4CVyihzQUI62vwyp5bzWUnKWj6DYzrL81PseBtXZhmxz9jwal9nifteOfl/xo6dM0osY0Rk25Fl1KGlyDE8soLjJO37T8G4Sl4ZyxEyqsTK+X2Z9SmUJa710VKP/3levZo1DpR2TAyt93uUUr/Y596pffB6t5T9zixx+04V50nKXz6jcs5Lee/LagMr5bEATczMFiKk4Eyr5101rsJOhBuVfB8C+7n7nFIL8vCfPZTQMy9fH+CHFdWwA3D3rwlzz+Q7qNB2yVylsfdtRAbVasPdP/cK5meMlDOB+Fw2azTZfKmFjCUEzrzRFQFw95mE1CxfRJ4ebmaxuawBTiA03uR7g/j8cfV0MqERoZClgZ8S0i1PMLMxZnadmR1jZpub2cI1r+X8xgCHufvcMrf7NSEokW/7MspIm4/6Ine/tpzKuPv7hFSeMT8ws7T5PnPF5pMudd7r2Hq/IzRGZVVeQ+e7znGMuz9Tzgbu/iohwJlvJTOLXbPbMLNVCNf4fNOAHd292Gcvtz7jmJcettk063nkNOLzhz5IGClU1Xvp7rFrQWy9suf4SnE84bqR79CMym8WjTzH/5L4nG1/cfdLy6mMu/+WMMJEymBmGxFG4Ma85O4fVFj0n939fxXWaUFC41fMocn1omTufg8hhWZMSXO/mtkQwgiXNsUDe7n7U+XUqU0hJZzfkjmeY9e4Wwj3vpXs9xJCUD7fL0rYPHZtvrqSelQgtu87yrnON7nWhsGxZW3kfi+hA2++LZM2mFJsR0j/ne89YDd3n1VGfZ4hjMBuSlncLyTXzkOYN7d8qwUJHRyycra7317OBu4+kZARJ19v2s4PHGVmSxAy+uSbQTj3lXRvltRnDuG7WEeYEzTtnHtG0p5VU814nSxBxfcFJZhB6Dw5o9QN3P0dQkfMfLnfZX7q7mPKKPMrwki/fL2ATUstJymrPZ2fmlrSznMnYXqLfDcSpltptM8IgzNKPqcmziAETPOV833scEJa7Hw3u3tZ7427/x34Sznb1IniQO1L2vmvRynttp0xztMe28CaNnhtZv0JX7A3TFnlHnd/tsbV+HnK8l+7+/RyC0tuUH5Z5r46ixGRZfubWdcC22xB24vKK+7+dGa1qhF3f4iQ5iVfWpC12fwqCRg3DXd/hXgDWhfg2vwLl5ltSvyL15fAPuV8oamFJCC2F6HncakGEeY3/BPwEPC5mT1iZmckjc619psKz40fEIJW+dYpZXszG0iYLzHfp4QRN2Vz90cIIwzzdSfMd1zMA5FlK5jZCiVsmx9sfjdp1Mu/5m1lZgWv42bWj/j7GKtfvb2UNIZXItbhCUo8ZkhvxDmtkgBMcj/y93K3q7VmPI+Y2fKEUd75pgEHN0unqHIk93fnRp5qL9f0UjXqHL8o8Qbxj6nwHE+Yy6rcRp9Oy8y2BG4lpPqL+UOFRX9K6Klfqe8T5tHLd7+731xhmecS5lzNt4GZbVDC9kcS72hxobvHPge1cHRk2ZeEKRWqOcf+lrYdUdYwsy2KbLdEZNl7VdSjHI3cdz3c4e53V7ht7F5qQeIB6Zi0e6lj3X1auZVx91sJQYMOK+k0cXHkqazuFyaSHlgs5mpCZ4h8pd5bDyOMmM53truPL7cySWNyMwSKquLuTxLaNfOtTbjfrrVmvE4WUu19QTH/V06QOceNBZ57wt1jnbuKuYX4d7QhFZRVtTqcn5qamXUjdG5dKfL044QpBZvhe+qZ7v5huRsl7bf/jjw1pJSONEnb/MGRp74gft9ZilMI3+eaieJA7ctHBZ5bvG61oEPEecpSzzawpgtem9kAMzuGkIJqh5TVHDixxvXoT7wH0njiAY2SJL2cn4s8tbqZrV1pue2du78JPJa3eEkK9wKLXTivyKxStRf7cv7tuteifBMJI/Sajrv/gzBHVr5lgBGtN2XJ5/s64l+wj3H3F2pXy9K5+/3A1hS+IBfSjdBz90TgMTN7zcyON7OeWdUxx7vEv5iXKtagu1qJoz/2Jv6/vLTKkTVnpSz/QQnbPkJIs5Vv20IbmdmytP3CdH/ez1ZpgelcQ2l7rXfi73e9nV/Fto8RGuLzDSm2YYGsHZOBC6uo0++Jjy5tqCY8j+xP/P7zHxn2Am2E2DV9VTPrXfea1EYjz/H7Eg+a/qWSAAl80+P4ykq27SwsGGJmlxOuP4ulrPo8IVVsJa6uYORIrrTrcWwEYUmS0aJp16eC1//keN478tRswjWi5sysL/EOQv9096qCtkmD/72Rp7YusmmscT7teMpaI/ddD+dVsW3aveCQYhsmnSNjx9lr7n5TFXU6vYpt24tatgFc4u6x++OiksxTb0eeGlJiEftHln0FXFRJfRIjaDsStD2KdfwBOK3IYI0sNNV1sgTV3hcU4oSpkirxeIHnKjrG3X0y8HrkqUa2C7fXNsosXEY86DIO2LXSc2vGZgD/qGL72HW/F/GRxvm2J7TR5xtR6f1l8j2umjahTCkO1C4V6lAQyxJQa53tHFqXNrB6Ba9XNbMRBR7XmNmdZvYqITXQnwhpLNMcXYdR1xsR7zV/nYc019VIGzHWVKkEGmBEZNmw2IpJo/keeYvnUr8UdFmI9fhcr+61KN/NSQ+bZvUT4u/tLszrETiCMK9xvn+7+99qVK+KJCOAhwB/o7zRkzGrEr6ovmVmP8o4VdldVab6fSmyrAswoIRt086dsfReJXP3l4AXI0+tWSxwl/Rsze+QA8VTfRdK8V1JKvLY8y8m6QEb7Y5KN0yOtVj6pdgXqnzfIt5w/e9yUlxG6vQhYX6aptNk55GdI8uceE//diP5/+c3thmlj1hqdo08x8cakpx4Z7VyVHWNaMcOKfK97EYzu5/wnew5QmfRWJp/CB0a965iJEqlQe9WsWwQn1D91BjXE+ayzFfsu9oWwCKR5TfV8br7HUKno3zVvtetYg2fmxTZJpb6d1j1VSlJbN+7JsHX9m46Vdx3JKNhJ0WeKuVeakPCKO18FTfuJnV6nHgAtSOJfU9dNMlMU62y0oVHxK7VRY8HM+sFDI48dY+7x46xkiRtDoVGvLYLSWruWBvgSsTTjGap2a6TxWR1rYp5NclKVbakQ/wnKU9Xmv0CIJa2PTZSvl5qeX5qWmZ2CvGpK6YQ5qdvlikMHnb3KVVsHzvHQ2nX/bTRlFVd95Ptm2FEOygO1B4V6uzUiOB1e43zVKRebWD1Cl4vQZi/OO3xA2BHYDXiJ4pcZ7h7PXrmpKXGrLixPcetZe6zs/gXbUfSfTfp/ZRvL9o2Dt3j7pWOLGuETyPLYqntmk1Vc/XVWtJ7bx/io17PMrO/E+anzTeO2n95rIi7T3D3nxGCbucS5lupxlKEnqU3ZDifbSw9SjnSPrt9Stg2du58N0klX63Y+boLUEpKtFhq7q2LBPtiwebWckYD+cHVSoLXzZAy/G13rzZFVOyYKeV4Sev5eFsVdWmVdn1vuGY4jyTp2GKfnZeSDCztXXu9rpeikef42Gf2hWSUWDUeofic8B3RphT+XrYnYSRtsY4FnxMa9N6qsB5ziI9CKImZrUg8HdzdVXa0aJ23LDbKap0i2QI2S1lezUjUcm0ZWfYF8HBG5T8TWbZhkXubaGc+M/urmXXPqF7l7HsAcKuZFeos3x48Ue2xTjxdZ6PvpbIoo5nF7hWg+vuFL2k7xVC5Kr23Xp942+Jd1VUH6Dip5E8h3j7xOzOrSQN7k14nC6nqvqAEsetBOWKd0Ma4e9pnutIyG5m1qVbnp6ZlZvsTT1U/B9jLy5wXvsaa7fvYJKqsUzJquykyX6I4UHtUKK7ZiE4RHbk9KE3NX3PTpQ0v4CNgF3ev17w366csfz6Dst8BYhPCVzs/TLuW9CC7JW/xQsTnAhoWWTYi2xqVxszWMbOfm9klZvaomY0xs0/MbKaZedqDeG/XHknjfjOr5ReKTCSZGY6PPLUgcGhk+VfAvknqpqbl7mPd/XjCqPFtCGmtH6PykZR7AiMzCmCPq3L7tNSvBb+8mdnixEfRP19lfYqVU8r5OvYZXwxYs8A2W+X9/UprkDdJofZo3vObpZ0zzGwpwijZUupVb+MyKCN2zJTyZT/tf5fFua1ZvnilavB5ZDDxkVpPVrjvzJnZ4mb2AzM7K8kK9JqZfWBmU8xsbpHreuxc1LfOL6FWxlW5faXn+EWBFSJPVf15TUYLx7JrSHF3A2u6ezUdGl+rJtsFtf2ullZON2CtAtsMSVlez3NcrKf7GxmMGGkVa6DoTeHPcmyORYCfEbJ4nGhmLdVWLMXttO34B6GjwRtmdpGZpR1LzW5cBmVkeS81m/gownI1/b0UgJktZ2bDzOzPZnafmb1uZh+a2TQz+7rAvUJa0LBvlVUan0F2tEqPh7TPUBbX2HZxPBSTTFcSyzK0NHBkjXbbjNfJQqq9LyhmXJXbx9LT1qLMUgKJBTXh+akpmdlmhM7YMT9P0j03k3FVbl/p9zEjPnr0hYzmAW+W87ziQO1Poc5SFaf672xxnmZvA6v1/CpZeIMwp8M/6hxYiqVqeS+LOri7m9lLhJEPuUpJ1dHRjaBtsHoYOXPTmNkKhLR8uT6njiPezKwP8AtCaplVMi6+L/EUd80iLV1SU3H3C8xsK2C3ElY/0d2fqHGVMpM0QD6QPEiCRkOAdQmNlhsAa1A8kwXJun8nniapHNWOXku7sSg2IictrVZWN8Bp5ZRyvn6C8IU0P0vENkQac8xsVWBg3uL8m58HmD/AvTAh1dCoyP5jo67nAA+lV7lushjtGDtmShnBFbu5mlLtXKCJdhMIa9B5JBaEBHi6hH3UlJntQci+sS3Z3h9X3QDVJBp1jo99XiE97V25XiQ+UlXamksIWl/s7tWmpoXq7yeb8fofO8d9nKRnrpeVI8sGmNmIjMrvlbK8HyG9ZswthIa/IZHnlgHOAM4wsxcI9z2jgMeySLXu7h+b2SWE7235FgF+DvzczN4nzOc9Ehjt7u9Uu+86aLZ7qdczmlqqae+lzKwLIUPFMEIHiCynYOpb5faNPB6WSVle9bXa3d8zsyl0jPupM4Af0fa74a/N7JIq0wHHNON1spBatzNV+xmJBdZrUWZFI9eb/PzUdMxsEOH+JPZ+n+vuf69vjUpS1fHm7l9aPFFOsfN8H+IB7iy/jzUDxYHan0IdL2aWU1BnjPO0lzawZglezyH0QJlCSDvxMqEh83F3b1SDZt/IsiznKosdtH3MzDLqudRe3QuMZ/4AzgZmtpq7t85vehBtb8Sur3EvzW+Y2YHAOdQu9UMj5mUoR9ZfqmrpR4RAzHIF1rkL+FN9qlMbyfzKj5IzKtdCuv1tgf2AnYjPf9hqfzO7wd2r6QAyo4ptq9E3ZXlW5+u0G4y0/X7D3eeY2cOEaTFybQP8JbLJ1pFl+cHr+4HTI+XFgtex8p5KUus3WqOOF6jh9d3dJ5nZXNLnh60LMxtLuJEfV0UxXxG+SPYmBCX6ULgRZH8z24jC14jYXOMAx5vZYRXVsnoLEa4RaQGZah1tZrEMMjGLxhaaWSxNb5rYF61dyigjNl8vwPVmFkt3Waq0a9AlZhYbdVKsPr8ws2o7XUFKg0GZ73mzqnTOxNaRN3MJ54GZhHP29KTMU83s1DLLjB2X61f5Pqe9vovMLD8A0wJMdfe0DjQxlVz/Y2mo69bp00Kq1li692UI359qqR/p15x3CO9bsevj2snjGAAzm0UYJTQ1eVQ6etwIx3GhDCHLEr43/CjZ95xk39MI17VqgrJZnNtjx/v+Zha71ytHpdeM1SLLVsjo3BnL0AIw3MxqNUK1FD0J9wu1+q7+RzP7dYnrxuafXTWD9z92nC1VQrktKcsfSAmUlCv2npdzb5O12Pu0Son1iXVs7g/8CvhttRXL0zdlecO/J6eodTtTWYGMBpZZtuQ72N9IzwBTrWZvoyyLmfUjTEkQuz7/Byj1XFxvzdbmllUwrlmCen0jyxQHam6Fvu+W/B2ss8V5koFT/0fbzJ9ZyWp6UqB+wetR7j60TvvKSr/IsliKh0rFbsy6EBpPs9xPu+LuX5vZVcBv8p4aRuiRasAPI5uOqHHVADCzs4mno850NzUuvyruXqiRuam4++dmdjDpaZI/BA7qiDcK7j4JuIEwH+1ywKnE0+23+h1NPF9vAbFzNWR3Hp1GaCzNn2Yjbb/57qdt8HpLM+vq7nPyluePlJ5L26D0U0mdcgNt2wAnR/bdrPNdN1rfyLIsr7vTUvZRT7179OjRf7XVVuufVYGzZ8/mww8/ZNKkSanrLLzwwoNWXTWWqT74+OOP+fDDtlNtr7zyyoN69apV7Djd9OnTGTNmDF9/nVU23baWXHLJpZZeeumSgoifffYZ7777bpvl66677rql7u/NN99k+vT5L9P9+/dftKWlJRo8yTdt2jTeeqvtFMaDBw9eY6GFKp3CEGbNmsUrr7zSZvnKK6+8SqH//eTJk3nnnbYDIFdcccWWvn37tlRcocSECRP44IMP2iwv5z1vVh9++CEff9x2Otvll1+eRRcteDgY4TtiV0LnjrQOBCVLOS77trS0VPw+v//++0yc2LY9aY011li9W7f5+0q89tprfPHFF+XuIq0RvdD1P/ZeTS53x1Vo5DyZhfbdu0ePHn1bWlp45513mDWr5P7GCyWPAWZG3759GTBgAJVcL+bOncvYsWOZOrXky31Xwv+6H8AiiyzCoosuSv/+/Sk3GJfFuf3ll19m9uz5+w+Vc31JU+k144UXXmDu3Pmzy/bt27fXiiuuWPW5c+7cubzwQtsBncsvv/zyiy66aCxoW3OTJ09m7Nix1PIr4/LLL9+y6KKLtpSy7rhx49rcjy2yyCKLrLLKKlW9/7HrRrdu3bqtscYaBct9++23mTJl/lNmly5dWHvttTO5lsbO4eXc22Qt9nns0aNHj9VWW63o6007voFfmtkF7p5lh6daf0+u5DpZSLtpZ2omZrYbod0nreNPJrupYdl1laTv/Q/xzlvPAAdkONVKR9E3ZXmWbW7NQHGg9iftvnCmu5eUqaCzxXnMbGNCNrVafm/M9PU2y8jrZhRrfMiyl1NaWTpphUB0fvD6ADM7kZAuPH/UxGvuXvO55MzsFEo7oX0GfAB8DHxBSL8Va6VZEtg+swpKmn0KPDeNJuktW0tJOuSDzewe4Cri5/71zWyIuz9f18pVL61RPZPzdZLe5wvCaItcpbacxjpOLAJ8m/lHyi8ADM1b7+n89HHJaO5RwC45i79tZr1yR1Sb2UrEMw40w3zXjRY7ZrI8D0yn8cHrcauttlr/Z57JfkDK9ddfz4EHHsicOfl9L2DmzJlcdtllDBkyJLrtaaedximnnNJm+XXXXcd668Wm0aqdl156iU033bRo4LpHjx4MHDiQZZZZhl69etG9e3e6d+/OAgvk92eBm266iRkz5j/1/OQnP2H48OEl1WnEiBEcfPDBbZaX838cOnQoo0bN3+flu9/9LiNGjChp+5EjR7LVVm074N5+++20tLSUXI9848aNY4UV2g56/fvf/87QoUNTt7v66qs58MADo9tts02sf055LrvsMg455JA2y2vx2am34cOHc+qpbQdIDx8+nGHDhtW1LtUelzGHHHIIl13WdprCkSNHtgnOr7feejz77LPjytxFoe9qaWIZBurZIFdKet9aKdRI8c016csvv+SCCy7gnHPO4dNPY9Nnx7k7n3/+OZ9//jnbbbcdF110EausUn5Gv3//+9+cfPLJvPpqeVMzT58+nenTp9O9e3fOO+88dthhh5K3zeLc3tLS0iYAXs71JU2ln82uXdt+ldhll1246qqrqqoPhOBerPxGnLsA7rvvPnbaaaeigetevXoxcOBABg4cSM+ePb+5X4h1drjiiivaLCvn9Q0bNqxNGeuttx4jR44safs0sevGUkstVfRY3Xbbbbn//vm/YpSyXak222wzRo8ePd+yaq8h1Yh9HldZZZWSX+8yyyzD+PFtZpPoCZxEtvNf1/R7coFy6t8jtZMys20pLXA9jZDhcjzh//Zl8oid2GqdqaXR/k58yqD3ge8mWQ1lfmnnkqzeq2bpuKI4UPuzZsryt0vZuLPFecxsTeAeil+nvyBcLz4gXD9arxmxxrM9adtenikFr9NNp22O9iyHvaf9Y5vlpN0w7v6GmT0BbJizeGlgO0IK5Hwjal0nM1uN9DROMwgBwTuBR939sxLLHEoTn9Q6AjPbCyiUivZbwIUkKQI7One/3syWAM5LWWVrwpyE7UnaOTOT83WS7SGW4qXUc/ULhBud/JEB25ATvCak+MofJZsWaL6f+YPXXQkde+7IWRZLI/ll3j47q9iXhnpc3zuEfffdl08++YSjjjoq+vwDDzyQGrzOHw3ZKn/UVz387Gc/Y9q0eExpyy235MADD2TTTTel0EjyfCNHjmwTvJbq9OwZ/zjNnJlNW4n+X+3XIovE29FmzpxZbGR5qSr5rjabtnMnVj1yvQxzi6/SWN27d+dXv/oVRx11FLfddhs33ngjDz74IBMmlJ4x8t5772X99dfn6quv5nvf+15Z+99jjz3YY489GD16NNdeey333ntvNNtEmjfeeIOddtqJk046idNOO62sfXckPXv2bDOKvSOel2fNmsXhhx/OV1+1zRq/wAILsPPOO7PPPvuwySabRDtopYkFr9uz2LU6q+MBmuuYyMJiiy3G+PHjv6JtwPEwM/uzu4/NaFeFvieX1GZVhNo0GyiZKuRi4oHrrwltA/8itFGWfEyZWYcNXpvZScSD89OAXdz9ozpXqb1IOwln1YbSLO0nigO1PxumLH+u2IadNM7zf6QHrkcRXvNod3+91AKT16zgdYN8TtuTVpZD6mNlfY1627QaQduT0BG0HZk4F7i6DvU5k/hN4d2EtDKV3PzXszGr0zGzFYBLS1j1YDO7392vqXWdmsRFhM/SSpHnNq5zXbKQlgomq/P1IrRNGV5ov/NJRm4/SOiNlmtb5p+7OjaEsFDwOt82zB+8jpU32t1LztXZgU2OLMtyhECHH21wxBFHcNFFFzFmzJg2zz322GOp26UFmyZPnpxV1Upyyy238Mgjj7RZvvjii3P99ddHRx6XohFB+I6ub9++0eVpHQ/KVUYKYWky/frFs5Jm+D9Nu48odP2fTtvgdd9MalOatMbF8939qDrWo6hu3bp9E0h2d1599VUefvhhHnnkER5++GHee++9gttPmzaNvffemwcffJCNNy7/9nXTTTdl0003BWD8+PE89NBDjB49mlGjRvHKK68UHGXr7px++un069ePo48+uux9dwR9+/Zt81nriOflv/3tb7z9dtvBO4MGDeLf//43a6+9dtlldsR7hdi1OqvjAZrrmMhCkr3nI9pmyepGmOorNk1eJWr9PbmS66Rk56fAoMjyt4E93D2an74QM+uwbZRmti8Q63U2F9jX3V+sc5Xak8kpy7Nq92jktDe5FAdqR5IpALZIefrpEoroVHGeZIqJzSJPTSCcAx+ssOiav+ZYg7wEkyPLFsuw/MVj++yIc+9W6HrCKMFcO9O2N8e97t52As0MJTdwsdxwTxPSylTaazWzuUhlfma2IOEYyr/xSHOxma1cwyo1DXefC9yc8vSS9axLRianLM/qfB07V0N5X8pjweaNzCy3F2d+sLnQKOmXCTcYub7ZPhktHou+ab7rYHJkWSbHi5n1oxN0DOzSpQvf//73o8/F5thttdRS8ak5P/kky+n9irvxxhvbLOvatSt33HFHxYFrd697EL4zSAtelzNKs5DYnMnSPqQdGxn+Tyu5/sdG7CyRQV1Kkkw1Epvce8V61aESZsbgwYM5/PDDufrqq3n33XcZO3YsF154Idtss03qHNOzZs3isMMOKzr9QzEDBw5kv/3246KLLuKll17i008/5brrrmO//fajR49Y8p3ghBNO4P33369q3+1V7PPXEc/LsfuFPn36cP/991cUuAbazFXdEcSOh6+++qrNPNiV+uyzLAYJN51PgVjah/3NbI2M9jE5ZXkzfU+Wyu0VWTYF2KaSwHWiQ7ZRmtkmwD+JT3FylLvfWecqtTeTU5annQPKlWWspRqTI8sUB2peu5A+4veeQht20jhP7JoxB9i50sB10vbct5pKlULB63SxxoflzazUYFgxsbz86S2+nYy7Twb+W8KqI2pbEyCMkMwfRQFwvLu3nfSzdAOr2FYKO5Mwp3C+x4A/RpYvAlyf9NzqDJ5NWZ5Jns06S0vttFZG5ae1TJVzvo4FjbsBm8M3nS3ye8CNdvf8DjxAGM0N5N9crGlmrTfWaxK/ydZ810GspbmvmS2bQdlpc+50OOuuu250eaEGxhVXjMdP6jm/8Ndff81dd93VZvn+++/P+uuvX3G5H3/8MXPnNn3G3nZn2WXjH8uXXnopk/KzKkfqL60zzIsvZjZwppLr/zuRZUuZWbyytTEusqzdddBsaWnhiCOO4L777uPNN99kzz3zE9gEL7/8MnfemW2bc//+/dl333259tpr+eCDDzjppJNYcMG2AzNmzZrF+eefn+m+24vYufn1119nzpxqvhoHzXJe/uyzz3j88cfbLD/qqKNYfvnlKy43MtdxuzdwYLxZ4+WXX6667Pfeey+zIHgT+l1k2QLA7zMqvz18T5YKmNmiwEaRp85z93cjy0vV4doozWxF4Bage+TpC9z9ovrWqF2aTEitni+rto9maUNRHKh9SZsi9A13f7PItp0qzmNmCwA7Rp66xt1LGaWeZkmgSxXbl0TB63Rp/7zKutjmSC6esZPfU9WW3cGMKPL8ZEoLcFdrlciyz4GHqiy3PaZobnpmthNwTOSpyYQ5038LtM0XC+sC59SuZk0lrct/zS86WXP3CcSDkUMy2kVaOSWfr5Mbp1gdW0dLb0TbHoPFAs35z+eOto6lDJ9KaalzOoO0/906GZQ9JIMy2oX+/eOdSgsFcAcPHhwNADzxxBOZ1auYTz/9lM8/bzsgZLfddquq3ELp0qVyAwYMoKWlpc3y554rOo1VUe7OCy9UOjBFGi2ts8nzzz+f1S6GRJbNBgpFx9N2njYfWy3E6rCqmTVlY0opVlppJW688UZ++ctfRp+/++67a7bv/v37c/rpp3PDDTfUfd/NbIMNNmizbNasWbz66qtVl53hZ7gqb7/9dnRUv+4X2ko7H2dxjc2wQ1IzuoH4vJy7mlksMFmutO9+QzIoO62cYtdJycYg4u35t1RZbodqozSzvoSp1WId+28n3m4oeZLBE7He5mtbWnqc8gzJoIwsKA7UTpjZxqTPLf3PEorobHGeAUBszq1bqiy3Lq9Xwet0bbvZBjtnUPZ3y9xnvq8iyzpimtJ7gUIpwa9PG5mYsVi6v/fcveIcdclIy00qr9I3ZkeWdcRjoSRmtjRwBfF0QD9293eTtNk/IB7A/YWZ7VrLOjaJtFQm7bVbe+zcuYKZrZZB2bHz9VzKv8mMjb7eJu9nrnKD18XKG5Uc+wJPpixPuzaX43sZlNEupKW97NMnvWNyt27d+Pa32ybFePHFF6PzZ9dCWoryWIC0HKNGjapqe0kXO2aef/55Pvjgg6rKHT16dIdM39pZrLjiiiy+eNvse3fffXfVaaTNbADxEU3PufusAps+nLJ8j6oqVJ60OmTxHbahzjzzzGh64noEt3bbbTe2375tG9mrr77aKbNuxM7LALfddlvVZWdRRhZ0v1C69ddfP5reP4vOHVlnVmgmSUDotylPn5lB+e/QdqopgB2SUVgVq+I6KdlIm5JkXJXlblnl9k0jaXP9N7Bq5OkXgP3UPlKWWBvKolTZrp1kvxtSTRkZauY4kCSSz/bFKU9/AfyjhGI6W5ynXV8zFLxO9zgQm3dgvwx6Fh2QsrzUbrixdB3pE3K1U8mNxNUFVrmiTlXpFVkWm0+uHHuSTYrmTnEslCL5AnYNoUdRvr+5+zfzPLv7+8CPUoq6PKP0wc0sLX3kuHpWIkNpc0PvX02hZjaY+I30S+4+o8ziYsHrIWbWH9g6b/kU4j1bv5E0RozLW7yNmXUlSUeeRynD53kdiE2ouEc1UwckaWErmzC5iZjZfI80b70Vm6aveKPuzju3/e7n7lxyySVl1bNS06bFLpsUnNe0mJkzZ3LVVVdVvL0UtvnmbU9p7s51111XVbnXXnttVdtL4228cdvO3h999BEPPBC75JZlH6Btmoji39UeIn5vvleS4rMebiP+HfaIjEbHNEyPHj3YdNNN2yz/9NNP67L/bbfdts0yd2838/GWen0vxUYbbRTNpFLtefXJJ5+sW2e2Ympxv/DBBx90yGBs7969GTx4cJvl99xzTzTbTanmzJkTnXe8I3H3u4iP9BpqZt/JYBex69ZStP3+Wa5Kr5OSjVgbJVTRTmlmywA7Vbp9E7qY+HH+IbCLu0+vc33au7TOkT+ostz9iA8+aoRmjgPJPBeRPv3FX0qcr7qzxXlqcc1YGDiw0u3LoeB1CnefBMS6ii5LuFGriJltDcTyKr3s7qXmVYodyO02FVwRlwB/ijxOc/d69VCaHFm2TKWFJUHWYyuuzfw607FQzO+AoZHlLxJJB+Tu/wUujKzfH7jWzNpdCu0y7J6yvPo8rI1xAxCbl+TQKuen+XXK8msqKCsWPF4A2IW26URHltgLOL/MQcBeQO/IulW35HcUySiHWKSxH/DzKoo+kU50X/Wf//wnuvzGG28s2EB+wAEHsMACbd+mv//977z/fiy7frZio/aAqkbxXnrppVU1zkph++67Lwst1HZKqvPOO4/p0ytrd3r//fe54op69YGUWvnBD+LtZeecU/ksMEknpqNSni54/Xf32cC/Ik8tRProuky5+wfE7znWpIrvsM1ikUUWabMsFkSt177ruf+YrILR5erXrx/f/W7bQUSvvvpq6v1BKU4//fRqqpWpWtwv/OlPf8pkXvBmtP/+bfsMz549m//7v/+ruMwrr7yybp1TGuyElOV/oPqgTlqPkuMrLbCa66RkZnLK8orbKQltlB0ii6OZ/Yb4YJUZwHeTeyUpz93E52c+KOn4UDYzW4T0c0ndNXkcqNMzswXM7M+kz3U9ntKzlkyOLOvIcZ7JKcuruWYcSjwVeeY6TSNrhf6asvwcM8ufn7SoZETcBWXuK2ZcZNka5danPXD3d9z9uMjjlDpWI3aBXqaKlMS/Btaroj65xkWWrZoca52GmW1JCF7nmwHsUyC9/PHEA7abAadmVL2ymdlPzWz1GpX9fcL83jH/q8U+a83dPyQ+V8fiQEXnimQOlVjvyC+Ay8stz93HA29EnjoJyB/tW+oo6dh6seN2AvByiWV2Fn9PWT48mX6gLGa2NvDT6qqUrYkTJ2Yy92TMzTffzLPPPlvRtssuu2x0vsipU6fyox/9iNC3oHaWWCKeMel//6vs9DdmzBh++9u6xKQ6rQEDBrD77m37XH344Yecempll+pjjjmGmTNnVlu1bwwfPrxNpw0zY9iwYZntQ9rafffdWWqppdos/9///sett95aabHHAitFlj/h7mlz4eW6kPiojV+a2RaVVqpMf05ZflEy5167FRuVu/TSZV+2M9t3jx496NevLu02RWU5sroUhx0Wbzs85phjKupYdPvtt3P77bdXW63MLLnkktHlld4vjB49mgsuSGsKav+GDRtG165tmyDOOussPvroo7LLmzZtWqe5v3L3Rwnz7+ZbD/h+lcX/B4j9A75jZpVOd1TtdVKqF2ujBKhotL6ZbQr8ovLqNA8z25PQ8SPf18AP3L2yL7GdnLvPAUZEnuoJ/KXCYocTMkE0k2aNA3VqSQeJO4GjU1aZS5gKoNQb0M4W54nPhVP5NWMl4IzKq1MeBa8Luwt4O7J8GeDqCkZmXgK0zacUekCUk2/y+ciyrc1ssTLrI6VJS+NxcrkFmdkuhAt0Vp6PLOsD7JDhPppaMt/SNUDs83iEu7+etm0yH9M+QOwCd4KZxeYOroedgZfM7LqM5m0GwMzWIn1ukFfcvWCq6iYXG0UPobF4r3IKSm6M/kW8p/s1SY/MSsRGP8dSuJcavC61vAe91hHBdsbd3yBc4/P1Bu4ys76llmVmyxEanJoqW8OUKVNYc8012W+//XjttdcyK/fFF1/k8MMPr6qM0047jS5d2r5d9913Hz/5yU+qnq/2iy/Ssx8tuuiirLLKKm2WX3LJJUyYEJsWMN3EiRPZY489mDGj3FkEpFy//OUvo8GYc889l8svL68/0cknn8xNN92UVdWkgRZccMHU89GPf/xj3ngj1mcsnZltS/p9etp9xnzc/UXio68XAG4ys6oaNsysaNq4JA1t7F5iUeC2rKbHMbNFzOyoIuusCSxW7Xkd4KmnnuKZZ9reqq6zzjqp2/z617+uKHCWb+rUqdGU2EOGDKm67PZqu+22i6aKHjduHLvvvjuzZ8em7It77rnnOOCAtIyajbHmmmtGR9ufc845Be8zYsaMGcN+++1X9f1NM1tyySWjHc2mT5/O3nvvzZdfpvUlb2vu3LkccMABfPxxWnyuQzqREFzLV9UgFXf/ivTv/5eZ2bfKKS+L66Rk4iXibVjHl3KfkCsJQlxHB4gPmNmGwJXE23GOc/eKezYKEM4lsZP5nmZWVo9iM/sR2Y1UzVKzxoE6JTNbyszOJEz9t32BVY9097TU9jGdKs6TpFJ/M/LUT8xs8XLKSmKP/yZ0XKmLdn9xqqVkovafEu89vxtwlZml5Y3/hpktZGb/R/ocu0eXOX/qI5FlPYCby735lJI8CcSCVfuaWVqKp/lYcCih52vFc6pGPEboYZTvYjPbrr3PbVdM8vpGEE+hcY27jyhWhru/RXzE5AKEm5OyTuQZWgDYF3jZzO41swOSOSXKlhx/+wOjgLROLqdVWM+m4O4PEU+L1vp/LGkunuQc+j9CaqB8E6ku7WcpQemP3b2k4bLu/gnwSkb77YyOAGJDL9cCHiolwGBm2xHmf8pNt/NVNtWr3tdff83111/PGmuswXbbbcfVV19d8WhTd+eaa65hyy23ZOLE2JThpRs8eDDHHx/PVnjppZey++678+GHH5Zd7qOPPsoOO+zA3/+eNrA+2HHHHdssmzJlCt/97ndLTv/96quvsvnmm/Piiy+WXU8p30YbbZQ6yu+www7j5JNPLhoomTp1Kocffvh8aWm7dcvylkwa4bjjjmPlldv22/r000/5zne+U3KWCDPbmfT79AdJT70aczQQO5ksBjxoZvuWUVZr/Xol3zteKnGTw4innVsdeDZpaKmImQ0ys98D71F8tM2iwLIvv/wyw4cP55133qlon2+++Sb77BPP2Ljffvulbnf22WfT0tLCj3/8Y5544omK9j1t2jT22WefaBC80L47ugUWWIBLL700OhXIfffdx3bbbVfS/NXXXXcd2267LVOmTAGa57y84IILss02bfsxjx07ln333bfkYOyjjz7K5ptvXpepURrtnHPOoWfPtm2ZjzzyCHvssQeTJhXv/ztjxgx++MMfVpM9o11y95cIAcRaOBd4K7J8APA/M0vLyjafjK+TUoWkU0LsO/4KwPVm1r2UcsxsE8J32Uw6tTWSmS0F/Jf43LAXu3ulo4Ml4e7vkp6h8mQzu7hYjMTMupnZacyfCa/03m411sRxoE4hed/WMbOjzOwe4H3gN6QHSr8GfuHufytzV50xzhMbvNOH0LG5pDRSSYbYh0mfc7wmFLwuwt3vBdI+BPsRRkceFDt5mVn3JGXJs6SnE/1vKQG2PLcR/5BtBrxuZm+a2W1mdo2ZjYg8ditzf51aMvfs+SlP/yF5rzeIPZkcA98FRhMuzrlpHm7LoG6fEJ+TYyAhAPehmf0vGcEbOxZ+U20dGuxowijlfGkB6Sh3vxqITX65JHBlgzsBLABsS+iV97GZXW1mB5rZCsU2NLOBZvZz4CngaqBvyqq3ufsNWVW4gX5OmOckXzfgGjP7j5ltFvt/mtmyZnYyoZdb2mj3w9y9vKGZ83uQeI/6XOUGmktZX/NdR7j7O6T3rFwTeMLMbjSzvZKG+oXNrLeZfcvMhpnZXYTz7HI52/0TKD/qWmNff/019913HwceeCBLLrkkBxxwAFdddRVjx44tuu348eP561//ygYbbMABBxzA5MmTM6nTqaeeymabbRZ97tZbb2XllVfmhBNO4Nlnn01NJT537lxeeuklzjzzTNZcc0023XRT7rnnnqKpx4888shoassnn3yStddemyuvvJJZs2ZFt33xxRf5xS9+wdprrz3fqM51112XgQOrnYpICjn77LOj7/HcuXM5/fTTWX311Tn11FN56qmn+OSTT5g9ezYffvghjzzyCMcffzyrrroql1xyyTfbde/enWOPbcYO/1KOhRdemCuvvDKazeG9995jww03bJ2jtu3E6YCZrWtmIwgZNGKTGk8FDi4ng4m7fwz8kPg1vxdwnZk9Zmb7WIFMH2a2qJl9z8yuJaR9/QMh2FBKHd4BDkqpwwBCQ8WTSefIeH7kefXoY2ZDzewkM3sOGEPozFdyvuw5c+Zw6qmnMmjQIDbYYAP++Mc/8sgjjxTNXPH6669zwgknsO6660avWTvttBNrrrlmwTJmz57N5ZdfzkYbbURLSwvHH388d911V9GOWJ988gl//etfWWONNbj77rZft5Zeeml++MMfFiyjo9t444352c9+Fn3uoYceYq211mLYsGHccccdjBs3ji+//JLPP/+cV155hb/+9a9suumm/OAHP5gvqNlMqaKPOeaY6PJbb72V9ddfn1tuuYW5c9u2L7o7jz/+OAceeCCbbbbZfCOIY3OFdxTLL7986nQed955J2ussQaXXXYZU6dObfP8zJkzue6661h77bXny3Kw+OKLF/2MdyAnU4NOsO4+k3BNijWGL0f4znOOmcUyeNXkOimZSJsi5HvA02a2m0VGiSYBl43M7CrCwKjce4Cq2ygb6FtAbH6ouUCvlPbQSh8l3Yt1UOcSHxkK8BPgDTM728w2NbOlk2D1Ema2gZkNB14jTPnYemw6pc9TXBdNGgdqrw4p8lm61sxuNrOHzextwtSfzxI6x36HwtkNJwE7uXvZWT86aZznQmBOZPm3gRfM7IdmlvZ9eS0zuwB4gXCubfUs8Tb4THWqeXGrcDzhn7l+5LnlCSM//2ZmLxEarecASxNS/PQuUO4YwgTnZXH3WWb2R+CPKausTDx1bKtxxOeHlXTnEUYwxFqmdwF2MbOPCB/kScDChJvANYn3EPpfUmYW317/QEgfETupL8n8N6P5RgFnZVCHujOz9YnXfTawr7vHRpsU8nNgI+Y/EUNITfIr0j9v9dQL2D95YGZTCCltxhPSRn2drNOPEIAt5ab6ReDAWlS23tx9soUR1vcAsd7GuyWPD83sTcI8J70IX9rXIJ5eqtX57n5LlfWbZGYvAOn5LSsLXhean+pdd4+lPZLgL8DGwB6R57oAeyaPUrxG6FDzQuS5WGNRQ0ybNo1rrrmGa665BoA+ffowaNAgBg4cGE2Pucwyy7RZloVu3bpx8803s9VWW/HKK20TCMycOZOzzjqLs846iyWWWIJBgwax+OKLs/DCCzN58mQmTpzIK6+8UtFI8kGDBvHTn/6UCy9s+z3n/fff56CDDuLwww9n3XXXZamllqJLly5MmDCBMWPGREdO9e7dm6uvvjo6oluy07t3b2666Sa23nrraMrWt99+m+HDhzN8+PCSyrvgggtYcMEF2yyPjSKU5rbRRhtx5pln8qtf/arNc3PmzGmdEmCwmb0OvAt8RhgFPYgwSinN18CPk5EmZXH3283sSOAi4vcXGwHXA3PN7BXCXGQTCUH2/km9Wsrdb14d/mNmPyGkLIwd2BuQpCw0szGE0Q2TgFmEnvh9CXMRrpDyGiry9NNP8/TTYVrUBRZYgJVXXpkllliC/v37s8gii/DFF1/w6aef8sYbbxRMG9y3b9/5OqSU4t133+Xcc8/l3HPPBWDZZZdl2WWXpV+/fvTt25evvvqKKVOm8NZbbzF27NjUzlBmxiWXXEKfPn3K2n9HdM455/DMM8/w2GNtMzB+8cUXXHHFFVxxRayPcFtbbrklJ5xwAqecckqb52IdVGptiy224Lvf/S633da2LfKVV15h9913p1evXqy33nosvnhI1vXxxx/z+uuvR6ciGThwIJdeemnqfNodwVFHHcXdd9/Nfffd1+a5jz76iEMOOYQjjzyStdZai6WXXpouXbowfvx4XnrppTZzpZsZF198Meefn9a+3LG4+ztm9g/K6IRfRtmPWxhNdnbk6a7AccBxZvYGdbpOSnXc/SEzu414m+JgwmjAaWb2DNB6QloSWBWIZRccT2if7mj5+ruQtJ9laDjwacZltgvuPicJzj5GPKvjUoQYSjzNWltnAiOBthf+xrahNFUcqB3bNHlkyQnTA/yqysFF59GJ4jzu/raZ/Q04MrLNsoQBfReb2bOETtNzCdeKlYhn55gKHEB8RHemFLwugbvPNLPtCZPDb5iyWg/Cia1UrwHbu3uluTfPJZwAvlfh9lIGd59qZrsS0iOkzSGzVPIo5hlCMKSqOe9y6vZo0rPmnCzKaw/MrDdhPsG2rc5wvLuXliMyh7vPMLN9gCdoOzrn92Y2yt0fL7+2NdUHWDd5VOJeYB93n5JdlRor+RK3G3AjITAds3TyKNVFhKBkFu6ncPC63FHSowg3FWktehp1XYC7f20hpb4B36+iqHeAnd19SqyHOyEQ0JSmTJnCs88+W3Jq3SwttthijBw5kt13351HHonNiBJ88sknfPLJJ5nu+9xzz+W5555L3e8XX3zB6NGji5bTo0cPbr75ZlZbLS1hg2Rpo4024vbbb2e33XZj2rRy+6jNc+qpp3LooYdy2WWXtXluoYWiHY4LSkuFutJKK5VdllTm+OOPZ/bs2fzud78rlH3hW7TtpJhmNvAjd694gnR3/z8zm0EIHqcdWF2oYeo1d/+HmX1KaGQrFGldKXnU1ddff80bb7xR9vzkiy++OHfffXfVHazef//9stM5d+nShcsuu4xddqk483qH0r17d+6880522WWXkq6badZff31uvvnm1A5ElZybs3DllVey4YYb8uabsakCQ6fAkSNHFi2nf//+3H333SyxRGxgYMfRpUsXbrrpJrbffvvUVP1ffPFFSWn8Tz/9dHbfffdOE7xOnEbImlHRdGGFuPs5ZtYNOJ30Dkl1vU5K1X5IaL9aJeX5XsDQEsqZBOzg7p9Yx555UDKQBMG2JQwaqaY31mXAScDWKc83rA2lSeNAnd1swvQa57r7y9UW1knjPMcR2qPjKRDD+1BKZ4MvgO+7+2v1uGZoaEGJ3H0SsCXwV+JzH5TjWmAjd6944qNkHobdgV8TekVKjbn7M8COhJERlfoPMLSCUcEFufu5hJ5B8W/VHc/fgRUjy2919wsqLdTdXwBiOUS7ElI89q207DJdSrhJqtXN2gTgIHf/jruXNsFrO+Lu9xBG0z5fZVFTCT3Jj8wwDVqhkdVjyu21nnQ8eLrC/QkhmwmwF+GLUyXzLd0JbOzurflM+0bWqft8RgMGDGCnnXaqWWNv6wijag0YMIAHH3yQk046KbN5Lkt5zd26dePWW2+tarT0wIEDGTlyZHROTKmdrbfemieffJJ11inUDyiuT58+XHXVVZx8cpgxIJYGPzZfZzEPP/xwm2W9evXi5z//edllSeV++9vfcvPNN2dxfhpDuF+/ptqC3P0KYBOqvydpVfa9YZI5ZgjZ94z/guJznGaeAnerrbbi0UcfLekcEMuuUI1BgwZx1113cdBBB2VabnvXt29f7r//fo488siKslccdNBBjBw5kv79+6dOT1LJuTkLffv25b777mODDaLZI0uy2mqr8fjjj7PGGmtkWLPm1adPH+677z723LPU5EXz69q1K3/5y1+aKoV8vSTTTlTcnlFC+WcQOuxWM1oNMrxOSuXcfTJhirmnqijmNUL7dNXBIOk83P1FQqCukvamLwmDjg5J2tn6pqzX0Dmhmy0O1El9DtwKHAws4e7DsjxXdbY4j7vPJgyCreY74XjC661bW7OC12Vw91nufgQhzdsdFJ+7NN8oYBt339/d2070U359vnb3swkjCPck5OsfSUjzM4kaNBZ0du4+ijDK9SricwWkeZUwwvX77j696NqV1e0Od/8WsDlwBmFOojGEFIRf1mKfjWBmhwH7RJ76gHBBq4q7/xW4OfJUC6FnYM25+3/dfWdCGp59gcsJ83hXVSxhTo7DgZXd/coqy2tq7v4KIR3m4YTU6uWYQRhtvZq7X55x1R4m/dxc6SjpQjcNGnldguR6egawOuFzXiwXtRPmCNvV3XduTVdkZl2JzwWX7bDhEvTt25c77riDiRMncv311/OjH/2IlVcuNKNIcWbGpptuysUXX8xbb1V7Spqna9eunH766bz66qscdthhFTVQ9+zZk3333ZeRI0fy05+Wlm2xX79+3HHHHZx33nkstVQpHWqDXr16ceyxx/Lqq6/y7W+X09lasrLqqqvy9NNPc/nll7P22msXXb9///4ce+yxvP766xxwwAHfLI8FScodFTd58mRefPHFNsuPOOII+vUreUpgychuu+3Ga6+9xgknnEDfvn3L3fxDQprANd29bQ7kCiUZgdYnjKaLTS1RilcJveUrSvPg7uPcfSdgK+C/lPc9JtcMQqetQ4El3b1gKk53Hw28tOyyy7LDDjtUHIA0MzbffHNuuOEGHnjgAQYNGlTSdq3XwP3337+qTg2rrLIKZ599Ni+//DLbbbddxeV0ZAsttBAXXHABzzzzDHvttVfRjgNdu3Zlxx13ZNSoUYwYMeKbYyMteN3IEcvLLrssDz/8MCeffHJZ55XFFluM3//+9zz//PNV34O1N4sssgg33ngj1113HSusUCjr9Py23HJLnnzySY466qjaVa75nQ1MrlXhSYem1QjpesvdT02uk1K5JBi2OWHU/uQyNp1I6Lw9xN2z+2InnYa7f+ju2xIG1pWSemU6YaDOGklgrlXfyLoz3L2hwWtovjhQB/MV4Zj4lNDe/Qghg+aZhKwSawOLuvuu7j4i6ayTuc4W50kGsO0MHEVID16qacCfgNXd/clK9l0py24wWedjZgMJ86duRmjwXpbQaG2EL/bjgdcJJ/H/uuYd7VDMrIXQa3Uo4f+/KCEtzxeE0fBvEnpA3uXubfKSmll34ilWPnD3ShuUpAMzs8UJI4pXJ6SGWpmQwqQXYV6VLoQLytTk8S6hkfQF4PHO2svPQh6TTQjzl29IeN8WJ6RE+YrwJW8cYVTUSOC2ZrhRlsYxsx6EG8QhwDKE1H1fEm6sXwUedvc2N3pmtjrQdgLn0Mu2eH7EjJjZM+uuu+66zzzzTJvnJkyYwGOPPcarr77Km2++yVtvvcVHH33EtGnTmDp1KrNmzT+ob5dddmHttddm7bXXZqONNmLZZedNd1NqiiB3b7NuofvPmTNnctdddzFq1Cief/55xo4dy6RJk/jyyy/p3r07vXr1YsCAAay66qqsvvrqbLHFFmyxxRZVjdyeNWsWt9xyC/fffz9PPPEEn3zyCZMmTWKBBRagd+/erLDCCqyxxhpsu+227LLLLvTq1XZWgg8++IA5c+a/fPft27eSAJqU6a233mL06NG88cYbTJo0CXend+/etLS0sM4667DRRhtF50vde++9ufHGG+dbtsMOO3DXXaV3Rr7tttv43vfmn8WnZ8+ejBs3jgEDBlT2giQTs2bN4u677+bQQw9l4sSJM4ApQD9CCu/Wc/rbhPv1e4EH3b3m8+uZ2WBgJ0JD2CqEudZav0O23seNI4yGeg64p9zMLCXUoR9hpMHGhLnbWgjfZXoQGm5a6/Eh4fvs64T36TF3L6uDdO41ae7cubzwwgs89thjvPLKK7z99tuMHTuWzz//nOnTpzNnzhwWWWQRevfuzZJLLsnaa6/NOuusw4477khLS0vVr3vMmDE8+uijvPjii4wZM4a3336biRMnMn36dL744gt69uxJ7969WXTRRRk8eDDrrLMOW265ZdN2VCp0Hc6/zpZzHc7C1KlTGTVqFC+99BLjx49n1qxZLLzwwiyxxBIMHjyYLbbYgv79+7fZ7s4772TnnXdus/zjjz9uipTbU6dO5d///jcPPvggzzzzDBMnTuTzzz9nwQUXpE+fPgwaNIi1116b73znO+ywww7RbDDjxo1rs2zAgAEsskis/2P7N3fuXO6++25uu+02nnzyScaOHcu0adPo1q0b/fv3Z9VVV2WTTTZh9913ryirSnuz3nrr8eyzzz7r7pmkF62GmS1EmFdzG0Lj/Qo0wXVSKpNMr7cHoaPaeoTBEP0IbR5TCP/LFwhzs96dZCDLL6MlUvSntQrOSMdhZssAWxDaKwcQ2ienA+8T2tpGpxxzZ9N2juzX3b3p5uVqVBwoGSQRmyvnY3fvMIPVGq2zxXmSe4DdCPcAGwJLAP0JnTSmAmOBl4H7gNtjo8uTz33+tNSTs+xsoOC1iIiISAbM7EfEMzT09TrOLV8oeF3CtvP9Xeg+sVbBa5F6WW655drMd3v00Ufz5z//ueQyjj322DbrH3fccZxzTtZTVEmlmilQ0BlVc02Swpo5eF2pk08+mdNPP32+Zf369WPSpEkNqpFItnRNEhGZx8weIgwcyPUfd/9+I+ojIs1FacNFREREsrFTZNlb9Qxci0hpXn755TaBa4D111+/rHJGjRo13989evTguOOOq6puIiKd1Z133tlmWbnnZREREWl+ZjYAiKW3ebredRGR5qTgtYiIiEiVzGw5QsqdfA/WuSoiUoLzzz+/zTIzY+jQoSWXMXXqVJ5//vn5lh166KFNkdpWRKS9GT16NLER+ltttVUDaiMiIiI19hPCNAX51IYiIoCC1yIiIiJZOJcwr1O+f9e7IiJS2HPPPceVV17ZZvlGG23E0ksvXXI5jzzyCHPnzpv6sVu3bvzqV7/KpI4iIp3JnDlzOP74/Ckvgz322KPOtREREZFaMrNlgWMiT40HHq9zdUSkSSl4LSIiIp2WlTpxc+Eyjgb2ijw1Dri/2vJFJMhijtYJEyaw9957M3v27DbPHXLIIWWVlZ8y/Ec/+hEDBw6sqn4iIu1NFufm4447jscee6zN8s0335xVVlml6vJFRESkehm1n/QErgf6R56+3LO4sRCRDkHBaxEREenMHjCzXyRfoMpiZguZ2XnAn1NWOcvd56Y8JyJluuaaa9hnn314+unKpkF76qmnWH/99RkzZkyb55ZbbjkOOOCAssrLDV4vuOCC/OY3v6moXiIi7dmaa67JiBEjop2Cipk6dSr77LNPdCoHgBNPPLHa6omIiEh2tjCzu8xs60o2NrOVgceATSJPTwMurKZyItKxKHgtIiIindkKwPnAR2Z2rZl938wWL7SBma1sZr8CxgK/TFntWeAf2VZVpHObM2cON9xwAxtssAFDhgzh97//Pc8//zxfffVV6jYzZszgf//7H7vuuisbbrgh77//fnS9888/n27dupVVn8cffxx3x92ZPXs2yy+/fFnbi4h0BK+88goHH3wwSy+9NIceeih33XUXkydPTl3f3Xn55Zc56aSTWH755bnhhhui6+26667ssMMONaq1iIiIVMCAHYD7zexNM/uDmW1kZt1TNwid/jc3syuBV4E1U1Y92d0n1qDOItJOdW10BURERESaQC9gv+SBmX0IvAVMBqYDiwD9gG8BSxQpazKwj0Zdi9TOCy+8wAsvvMDvfvc7FlpoIVZffXUWX3xx+vbti5kxadIkJkyYwMsvv8ycOXMKlnXEEUew22671afiIiId1GeffcY//vEP/vGP0HevpaWFFVZYgb59+7LwwgszdepUJk2axKuvvsrnn39esKyWlhYuu+yyelRbREREKrMycELymGNmrwMfEdpD5gB9gQGEYHVqcDtxK2FQgYjINxS8FhEREWlr6eRRrknADu7eNi+xiNTErFmzeO655yra9qCDDkpNVysiIpUbN24c48aNK3u75Zdfnvvuu49FF100+0qJiIhILXQF1kge5fofsK/muhaRfEobLiIiIpKN0cB67v5UoysiIoUtvPDCnH/++YwYMYIFFtBXIhGRZrDrrrvyzDPPMGjQoEZXRURERGprDvAHYGd3/6LRlRGR5qOWGhEREenMfgHcAMyooownCWnCN3P3cZnUSkTa2H777Tn11FMZPHhwxWX06tWLI444gjfffJNf/OIXGdZORKRzGjFiBDvvvDPdunWruIxtttmGe+65h1tuuUUjrkVERJrXc8DxhDaQSs0CrgTWdPffunvhOZ5EpNMyZWQQERGRzs7MugHrAZsQUl2tACwH9AF6AgsCswnzN30AvA48BdzZbCnCzeyZddddd91nnnmmkm3n+7vQfWL+umncvaxyRUoxfvx4Ro8ezZNPPsmYMWMYO3YsEyZMYMaMGcycORMzY+GFF2aJJZagpaWFIUOGsOWWW7LNNtvQvXuxKdekI1lvvfV49tlnn3X39Rpdl86ommuSFFboOpx/na3HdXjmzJk8+eSTPPbYY7zyyiuMGzeO999/n6lTpzJz5kzmzJlD9+7d6devH8ssswyDBw9mww03ZOedd2bgwIGZ10ekGemaJCIdhZktRmg/2RBYBWghTL3WE1gYMOALYCLwLvAC8Ahwj7tPa0CVRaSd0ZzXIiIi0um5+2zgseQhIk1u4MCB7L333uy9996NroqIiBCmYxg6dChDhw5tdFVERESkxtx9IvDf5CEikjmlDRcRERGRKDMreYS1iIiIiIiIiIiISLUUvBYRERERERERERERERERkYZT8FpERERERERERERERERERBpOwWsRERERERGRJmNme5rZhWb2sJlNNTM3s6tT1m1Jnk97XF9gPweZ2ZNmNt3MppjZSDPbpXavTERERERERCRd10ZXQERERERERETaOAlYG5gOfACsWsI2LwC3RJa/HFvZzM4Fjk3KvxToBuwL3GZmR7r7ReVXW0RERERERKRyCl6LiIiIiIiINJ+jCUHlMcCWwIMlbPO8uw8vpXAz24QQuH4b2MDdP0+WnwM8A5xrZre7+7jyqy4iIiIiIiJSGaUNFxEREZGaMbNGV0FEpF1y9wfd/S139xrt4vDk5xmtgetkv+OAvwILAQfXaN8iIiIiIiIiURp5LSIiIiIiItIxLG1mPwEWBT4DHnP3F1PW3Tr5eXfkubuA3yXrnFJsp2b2TMpTpaQ6FxEREREREfmGgtciIiIiIiIiHcN2yeMbZjYSOMjd38tZ1hMYCEx3948i5byV/FylRvUUERERERERiVLacBEREZGEme1pZhea2cNmNtXM3MyuTlm3JXk+7XF9gf0cZGZPmtl0M5tiZiPNbJfavTIREengZgKnA+sB/ZJH6zzZQ4H7k4B1qz7Jzykp5bUu71vKzt19vdgDeL2sVyEiIiIiIiKdnkZei4iIiMxzErA2MB34gNLSnb4A3BJZ/nJsZTM7Fzg2Kf9SoBuwL3CbmR3p7heVX20REenM3H0CcHLe4ofM7DvAI8CGwCHA+eUWnUH1REREREREREqm4LWIiIjIPEcTgspjmDdirZjn3X14KYWb2SaEwPXbwAbu/nmy/BzgGeBcM7vd3ceVX3UREZH5ufscM/sHIXi9BfOC160jq/tENyw+MltERERERESkJpQ2XERERCTh7g+6+1vuXquRZocnP89oDVwn+x0H/BVYCDi4RvsWEZHOaWLy85u04e4+AxgPLGJmS0W2WTn5+WaN6yYiIiIiIiIyHwWvRURERKqztJn9xMxOTH6uVWDdrZOfd0eeuytvHRERkSxslPx8J2/5A8nPHSLb7Ji3joiIiIiIiEhdKG24iIiISHW2Sx7fMLORwEHu/l7Osp7AQGC6u38UKeet5OcqpezUzJ5JeaqUebpFRKQDMbMNgefcfXbe8q0JU2IAXJ232cXAgcBvzeyWnKksWoCfA7OAf9ay3iIiIiIiIiL5FLwWERERqcxM4HTgFuaNZlsLGA5sBdxvZkOS1KxQfP7Q1uV9s66oiIi0P2a2G7Bb8ueSyc+NzWxE8vun7n5c8vsfgcFJ56kPkmVrMS+bx+/c/dHc8t39UTP7M3AM8KKZ3QR0A/YB+gNHJtNaiIiIiIiIiNSNgtciIiIiFXD3CcDJeYsfMrPvAI8AGwKHAOeXW3SJ+18vtjwZkb1umfsUEZHmMwQ4KG/ZiskD4F2gNXh9FbA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      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 302,
       "width": 983
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Defining plot grids\n",
    "fig, axs = plt.subplots(nrows=2, ncols=2)\n",
    "fig.tight_layout(h_pad=3)\n",
    "fig.suptitle('Plot Matrix Showing Scaling, Processing and Normalizing of Data', fontsize = 30)\n",
    "plt.subplots_adjust(top=0.93)\n",
    "plt.rcParams['figure.figsize'] = [20, 20]\n",
    "\n",
    "# Histogram Creation\n",
    "axs[0, 0].hist(nSportData, edgecolor='black')\n",
    "axs[0, 1].hist(SportScSK, edgecolor='black')\n",
    "axs[1, 0].hist(SportIm, edgecolor='black')\n",
    "\n",
    "# Assigning Histogram Titles\n",
    "axs[0, 0].set_title('Raw Data', fontsize = 15)\n",
    "axs[0, 1].set_title('Pre kNN Scaling', fontsize = 15)\n",
    "axs[1, 0].set_title('kNN Imputation', fontsize = 15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Definig Individual Sport Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "GeoFeatures = SportIm.iloc[:,6:]\n",
    "GeoFeatures;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .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>Overall Jokl Rank</th>\n",
       "      <th>Coastline (Km) (2018)</th>\n",
       "      <th>Temperature (1901-2016 [C])</th>\n",
       "      <th>GDP (US Billion Dollar)</th>\n",
       "      <th>Elevation (Feet)</th>\n",
       "      <th>Status of Women</th>\n",
       "      <th>Democracy Index</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.558384</td>\n",
       "      <td>0.936007</td>\n",
       "      <td>-1.417942</td>\n",
       "      <td>10.690428</td>\n",
       "      <td>-0.642652</td>\n",
       "      <td>1.236152</td>\n",
       "      <td>1.090185</td>\n",
       "      <td>1.938201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.436000</td>\n",
       "      <td>0.493812</td>\n",
       "      <td>-1.237790</td>\n",
       "      <td>1.205943</td>\n",
       "      <td>-0.690958</td>\n",
       "      <td>1.524040</td>\n",
       "      <td>1.343526</td>\n",
       "      <td>0.181244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.771431</td>\n",
       "      <td>0.615998</td>\n",
       "      <td>-1.491204</td>\n",
       "      <td>7.077849</td>\n",
       "      <td>2.425002</td>\n",
       "      <td>0.084599</td>\n",
       "      <td>-1.488464</td>\n",
       "      <td>9.338996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.596702</td>\n",
       "      <td>0.208907</td>\n",
       "      <td>-0.834250</td>\n",
       "      <td>0.784773</td>\n",
       "      <td>0.007492</td>\n",
       "      <td>1.044226</td>\n",
       "      <td>0.891132</td>\n",
       "      <td>0.131669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.874976</td>\n",
       "      <td>11.682982</td>\n",
       "      <td>-3.086148</td>\n",
       "      <td>0.649652</td>\n",
       "      <td>-0.126518</td>\n",
       "      <td>1.524040</td>\n",
       "      <td>1.660202</td>\n",
       "      <td>-0.020041</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>-0.505405</td>\n",
       "      <td>-0.239484</td>\n",
       "      <td>0.752287</td>\n",
       "      <td>-0.234387</td>\n",
       "      <td>0.128256</td>\n",
       "      <td>-2.026581</td>\n",
       "      <td>-1.913715</td>\n",
       "      <td>-0.239813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>-0.506460</td>\n",
       "      <td>-0.238068</td>\n",
       "      <td>1.116194</td>\n",
       "      <td>-0.211417</td>\n",
       "      <td>-0.969402</td>\n",
       "      <td>-0.539159</td>\n",
       "      <td>-0.936543</td>\n",
       "      <td>-0.271805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>-0.506573</td>\n",
       "      <td>-0.239484</td>\n",
       "      <td>-0.933934</td>\n",
       "      <td>-0.233913</td>\n",
       "      <td>2.830023</td>\n",
       "      <td>-0.395215</td>\n",
       "      <td>0.162776</td>\n",
       "      <td>-0.271548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>-0.506797</td>\n",
       "      <td>-0.239484</td>\n",
       "      <td>-0.806627</td>\n",
       "      <td>-0.219896</td>\n",
       "      <td>2.934352</td>\n",
       "      <td>-0.011364</td>\n",
       "      <td>-0.122232</td>\n",
       "      <td>-0.077503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>-0.507740</td>\n",
       "      <td>-0.061012</td>\n",
       "      <td>0.973274</td>\n",
       "      <td>-0.231593</td>\n",
       "      <td>-0.207183</td>\n",
       "      <td>-1.546768</td>\n",
       "      <td>-1.402509</td>\n",
       "      <td>-0.165937</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>190 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Overall Jokl Rank  Coastline (Km) (2018)  Temperature (1901-2016 [C])  \\\n",
       "0             7.558384               0.936007                    -1.417942   \n",
       "1             4.436000               0.493812                    -1.237790   \n",
       "2             3.771431               0.615998                    -1.491204   \n",
       "3             3.596702               0.208907                    -0.834250   \n",
       "4             2.874976              11.682982                    -3.086148   \n",
       "..                 ...                    ...                          ...   \n",
       "185          -0.505405              -0.239484                     0.752287   \n",
       "186          -0.506460              -0.238068                     1.116194   \n",
       "187          -0.506573              -0.239484                    -0.933934   \n",
       "188          -0.506797              -0.239484                    -0.806627   \n",
       "189          -0.507740              -0.061012                     0.973274   \n",
       "\n",
       "     GDP (US Billion Dollar)  Elevation (Feet)  Status of Women  \\\n",
       "0                  10.690428         -0.642652         1.236152   \n",
       "1                   1.205943         -0.690958         1.524040   \n",
       "2                   7.077849          2.425002         0.084599   \n",
       "3                   0.784773          0.007492         1.044226   \n",
       "4                   0.649652         -0.126518         1.524040   \n",
       "..                       ...               ...              ...   \n",
       "185                -0.234387          0.128256        -2.026581   \n",
       "186                -0.211417         -0.969402        -0.539159   \n",
       "187                -0.233913          2.830023        -0.395215   \n",
       "188                -0.219896          2.934352        -0.011364   \n",
       "189                -0.231593         -0.207183        -1.546768   \n",
       "\n",
       "     Democracy Index  Population  \n",
       "0           1.090185    1.938201  \n",
       "1           1.343526    0.181244  \n",
       "2          -1.488464    9.338996  \n",
       "3           0.891132    0.131669  \n",
       "4           1.660202   -0.020041  \n",
       "..               ...         ...  \n",
       "185        -1.913715   -0.239813  \n",
       "186        -0.936543   -0.271805  \n",
       "187         0.162776   -0.271548  \n",
       "188        -0.122232   -0.077503  \n",
       "189        -1.402509   -0.165937  \n",
       "\n",
       "[190 rows x 8 columns]"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OJR = SportIm.iloc[:,:1]\n",
    "OJR;\n",
    "OJRdf = OJR.join(GeoFeatures)\n",
    "OJRdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [],
   "source": [
    "Athletics = SportIm.iloc[:,1:2]\n",
    "Athletics;\n",
    "Athdf = Athletics.join(GeoFeatures)\n",
    "Athdf;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "Cycling = SportIm.iloc[:,2:3]\n",
    "Cycling;\n",
    "Cycdf = Cycling.join(GeoFeatures)\n",
    "Cycdf;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "Gymnastics = SportIm.iloc[:,3:4]\n",
    "Gymnastics;\n",
    "Gymdf = Gymnastics.join(GeoFeatures)\n",
    "Gymdf;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [],
   "source": [
    "Shooting = SportIm.iloc[:,4:5]\n",
    "Shooting;\n",
    "Shootdf = Shooting.join(GeoFeatures)\n",
    "Shootdf;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "Swimming = SportIm.iloc[:,5:6]\n",
    "Swimming;\n",
    "Swimdf = Swimming.join(GeoFeatures)\n",
    "Swimdf;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multiple Linear Regression"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Defining Features Array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = GeoFeatures\n",
    "x;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Overall Jokl Ranking"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Machine Learning Approach"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Spliting the Data\n",
    "\n",
    "_OJR refers to the values typiocally described as 'y'_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train, x_test, OJR_train, OJR_test = train_test_split(x, OJR, test_size = 0.2, random_state = 42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Building the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "OJRLR = LinearRegression()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fitting the OJR Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OJRLR.fit(x_train, OJR_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Testing model accuracy with r2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "OJR_prediction =  OJRLR.predict(x_test)\n",
    "OJR_prediction;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r2 socre is 0.34414126763540986\n",
      "mean_sqrd_error is== 0.3666630369884536\n",
      "root_mean_squared error of is== 0.6055270737039373\n"
     ]
    }
   ],
   "source": [
    "score=r2_score(OJR_test,OJR_prediction)\n",
    "print('r2 socre is',score)\n",
    "print('mean_sqrd_error is==',mean_squared_error(OJR_test,OJR_prediction))\n",
    "print('root_mean_squared error of is==',np.sqrt(mean_squared_error(OJR_test,OJR_prediction)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the r2 score being only 0.34, it is clear that this model is not accurate enough to predict the Overall Jokl Rank - this is consistent with the original findings which found that only GDP had any significant impact on the sporting performances.\n",
    "\n",
    "We can further explore this by looking at the individual features:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating a list of feature names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Coastline (Km) (2018)', 'Temperature (1901-2016 [C])',\n",
       "       'GDP (US Billion Dollar)', 'Elevation (Feet)', 'Status of Women',\n",
       "       'Democracy Index', 'Population'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geofeats = x.columns\n",
    "geofeats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Extracting coeficcients"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_coefficients = OJRLR.coef_[0]\n",
    "model_coefficients;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating a dataframe of the features and their coefficients"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "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>Geographical Features</th>\n",
       "      <th>Coefficient</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Coastline (Km) (2018)</td>\n",
       "      <td>0.131101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Temperature (1901-2016 [C])</td>\n",
       "      <td>-0.147050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GDP (US Billion Dollar)</td>\n",
       "      <td>0.729090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Elevation (Feet)</td>\n",
       "      <td>-0.102864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Status of Women</td>\n",
       "      <td>0.099579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Democracy Index</td>\n",
       "      <td>0.068417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Population</td>\n",
       "      <td>-0.060807</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Geographical Features  Coefficient\n",
       "0        Coastline (Km) (2018)     0.131101\n",
       "1  Temperature (1901-2016 [C])    -0.147050\n",
       "2      GDP (US Billion Dollar)     0.729090\n",
       "3             Elevation (Feet)    -0.102864\n",
       "4              Status of Women     0.099579\n",
       "5              Democracy Index     0.068417\n",
       "6                   Population    -0.060807"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coefficient_df = pd.DataFrame({\"Geographical Features\" : geofeats, \"Coefficient\": model_coefficients})\n",
    "coefficient_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These coefficient results support the original finding that GDP was the only feature with strong relationship (coefficient of 0.73). There are very slight relationships showing for Coastline, Temperature and elevation but these are unlikly to be significant from a determanistic perspective."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can seperate out GDP and compare it directly with a simple linear regression model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [],
   "source": [
    "GDP = x.iloc[:,2:3]\n",
    "GDP;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Splitting the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "GDP_train, GDP_test, OJRslr_train, OJRslr_test = train_test_split(GDP, OJR, test_size = 0.2, random_state = 42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Building the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "OJRsLR = LinearRegression()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fitting the OJR and GDP data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OJRsLR.fit(GDP_train, OJRslr_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Testing model accuracy with r2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [],
   "source": [
    "OJRslr_prediction =  OJRsLR.predict(GDP_test)\n",
    "OJRslr_prediction;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r2 socre is 0.17359393149908264\n",
      "mean_sqrd_error is== 0.4620088807383455\n",
      "root_mean_squared error of is== 0.6797123514681379\n"
     ]
    }
   ],
   "source": [
    "slrscore=r2_score(OJRslr_test,OJRslr_prediction)\n",
    "print('r2 socre is',slrscore)\n",
    "print('mean_sqrd_error is==',mean_squared_error(OJRslr_test,OJRslr_prediction))\n",
    "print('root_mean_squared error of is==',np.sqrt(mean_squared_error(OJRslr_test,OJRslr_prediction)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The r2 result indicates that whilst GDP has a strong relationship with the OJR scores, it cannot be used to predict them. Interestingly the model accuracy is much lower than it was when all the geographical features were included."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Statistics Approach"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adding a constant to the features array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "xcon = sm.add_constant(x, prepend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fitting and summarising the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:      Overall Jokl Rank   R-squared:                       0.717\n",
      "Model:                            OLS   Adj. R-squared:                  0.707\n",
      "Method:                 Least Squares   F-statistic:                     66.03\n",
      "Date:                Thu, 27 Oct 2022   Prob (F-statistic):           1.22e-46\n",
      "Time:                        18:15:07   Log-Likelihood:                -149.52\n",
      "No. Observations:                 190   AIC:                             315.0\n",
      "Df Residuals:                     182   BIC:                             341.0\n",
      "Df Model:                           7                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "===============================================================================================\n",
      "                                  coef    std err          t      P>|t|      [0.025      0.975]\n",
      "-----------------------------------------------------------------------------------------------\n",
      "Coastline (Km) (2018)           0.1245      0.043      2.922      0.004       0.040       0.209\n",
      "Temperature (1901-2016 [C])    -0.2213      0.059     -3.738      0.000      -0.338      -0.104\n",
      "GDP (US Billion Dollar)         0.7253      0.051     14.218      0.000       0.625       0.826\n",
      "Elevation (Feet)               -0.1208      0.047     -2.546      0.012      -0.214      -0.027\n",
      "Status of Women                 0.0754      0.071      1.057      0.292      -0.065       0.216\n",
      "Democracy Index                 0.0318      0.058      0.545      0.586      -0.083       0.147\n",
      "Population                     -0.0575      0.050     -1.150      0.252      -0.156       0.041\n",
      "const                           0.0121      0.040      0.306      0.760      -0.066       0.090\n",
      "==============================================================================\n",
      "Omnibus:                      117.825   Durbin-Watson:                   1.532\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              778.588\n",
      "Skew:                           2.351   Prob(JB):                    8.55e-170\n",
      "Kurtosis:                      11.731   Cond. No.                         3.45\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "statmLMmodel = sm.OLS(OJR, xcon).fit()\n",
    "print(statmLMmodel.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Defining F Statistic and associated p-value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'numpy.float64' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-163-5ebc2455ed61>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstatmLMmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mf_pvalue\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m: 'numpy.float64' object is not callable"
     ]
    }
   ],
   "source": [
    "print(statmLMmodel.f_pvalue())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Summary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Neither of the machine learning results (r2 of 0.344 for multiple regression model and 0.174 for GDP only) match the r2 result from the original report which was 0.719. The statsmodels approach however produced an r2 value of 0.717 which is much closer to the value found by the original report. Similarly the adjusted r2 in the original report was 0.705 in comparison to the stats models test which was 0.707.\n",
    "\n",
    "The original testing did not take any action to address the missing data which was as high as 20% in at least one factor (Status of Women). It is possible that this has contributed to the cause of the difference however given the very low coefficient values of these two factors (Status of Women, Democracy Index), it is not likely these factors had much effect on the model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The origninal report drew attention to the Durbin-Watson statistic which had a value of 2.162. The statsmodels test had a value of 1.532 which is quite different, however both values still fall between the critical values of > 1.5 and < 2.5 which allows us to assume that there is no first order autocorrelation in the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The F statistic in the statsmodels regression was 66.03 in comparison to the original report which had an F value of 51.664."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
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