Pandas and Seaborn Example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "\n",
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       "        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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>...</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7129300520</td>\n",
       "      <td>20141013T000000</td>\n",
       "      <td>221900.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1180</td>\n",
       "      <td>5650</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1180</td>\n",
       "      <td>0</td>\n",
       "      <td>1955</td>\n",
       "      <td>0</td>\n",
       "      <td>98178</td>\n",
       "      <td>47.5112</td>\n",
       "      <td>-122.257</td>\n",
       "      <td>1340</td>\n",
       "      <td>5650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6414100192</td>\n",
       "      <td>20141209T000000</td>\n",
       "      <td>538000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.25</td>\n",
       "      <td>2570</td>\n",
       "      <td>7242</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>2170</td>\n",
       "      <td>400</td>\n",
       "      <td>1951</td>\n",
       "      <td>1991</td>\n",
       "      <td>98125</td>\n",
       "      <td>47.7210</td>\n",
       "      <td>-122.319</td>\n",
       "      <td>1690</td>\n",
       "      <td>7639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5631500400</td>\n",
       "      <td>20150225T000000</td>\n",
       "      <td>180000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.00</td>\n",
       "      <td>770</td>\n",
       "      <td>10000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>770</td>\n",
       "      <td>0</td>\n",
       "      <td>1933</td>\n",
       "      <td>0</td>\n",
       "      <td>98028</td>\n",
       "      <td>47.7379</td>\n",
       "      <td>-122.233</td>\n",
       "      <td>2720</td>\n",
       "      <td>8062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2487200875</td>\n",
       "      <td>20141209T000000</td>\n",
       "      <td>604000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1960</td>\n",
       "      <td>5000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1050</td>\n",
       "      <td>910</td>\n",
       "      <td>1965</td>\n",
       "      <td>0</td>\n",
       "      <td>98136</td>\n",
       "      <td>47.5208</td>\n",
       "      <td>-122.393</td>\n",
       "      <td>1360</td>\n",
       "      <td>5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1954400510</td>\n",
       "      <td>20150218T000000</td>\n",
       "      <td>510000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1680</td>\n",
       "      <td>8080</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>1680</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>0</td>\n",
       "      <td>98074</td>\n",
       "      <td>47.6168</td>\n",
       "      <td>-122.045</td>\n",
       "      <td>1800</td>\n",
       "      <td>7503</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id             date     price  bedrooms  bathrooms  sqft_living  \\\n",
       "0  7129300520  20141013T000000  221900.0         3       1.00         1180   \n",
       "1  6414100192  20141209T000000  538000.0         3       2.25         2570   \n",
       "2  5631500400  20150225T000000  180000.0         2       1.00          770   \n",
       "3  2487200875  20141209T000000  604000.0         4       3.00         1960   \n",
       "4  1954400510  20150218T000000  510000.0         3       2.00         1680   \n",
       "\n",
       "   sqft_lot  floors  waterfront  view     ...      grade  sqft_above  \\\n",
       "0      5650     1.0           0     0     ...          7        1180   \n",
       "1      7242     2.0           0     0     ...          7        2170   \n",
       "2     10000     1.0           0     0     ...          6         770   \n",
       "3      5000     1.0           0     0     ...          7        1050   \n",
       "4      8080     1.0           0     0     ...          8        1680   \n",
       "\n",
       "   sqft_basement  yr_built  yr_renovated  zipcode      lat     long  \\\n",
       "0              0      1955             0    98178  47.5112 -122.257   \n",
       "1            400      1951          1991    98125  47.7210 -122.319   \n",
       "2              0      1933             0    98028  47.7379 -122.233   \n",
       "3            910      1965             0    98136  47.5208 -122.393   \n",
       "4              0      1987             0    98074  47.6168 -122.045   \n",
       "\n",
       "   sqft_living15  sqft_lot15  \n",
       "0           1340        5650  \n",
       "1           1690        7639  \n",
       "2           2720        8062  \n",
       "3           1360        5000  \n",
       "4           1800        7503  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sb\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import linear_model\n",
    "from sklearn.metrics import classification_report\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "df = pd.read_csv(\"kc_house_data.csv\")\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 21613 entries, 0 to 21612\n",
      "Data columns (total 21 columns):\n",
      "id               21613 non-null int64\n",
      "date             21613 non-null object\n",
      "price            21613 non-null float64\n",
      "bedrooms         21613 non-null int64\n",
      "bathrooms        21613 non-null float64\n",
      "sqft_living      21613 non-null int64\n",
      "sqft_lot         21613 non-null int64\n",
      "floors           21613 non-null float64\n",
      "waterfront       21613 non-null int64\n",
      "view             21613 non-null int64\n",
      "condition        21613 non-null int64\n",
      "grade            21613 non-null int64\n",
      "sqft_above       21613 non-null int64\n",
      "sqft_basement    21613 non-null int64\n",
      "yr_built         21613 non-null int64\n",
      "yr_renovated     21613 non-null int64\n",
      "zipcode          21613 non-null int64\n",
      "lat              21613 non-null float64\n",
      "long             21613 non-null float64\n",
      "sqft_living15    21613 non-null int64\n",
      "sqft_lot15       21613 non-null int64\n",
      "dtypes: float64(5), int64(15), object(1)\n",
      "memory usage: 3.5+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>condition</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.161300e+04</td>\n",
       "      <td>2.161300e+04</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>2.161300e+04</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.580302e+09</td>\n",
       "      <td>5.400881e+05</td>\n",
       "      <td>3.370842</td>\n",
       "      <td>2.114757</td>\n",
       "      <td>2079.899736</td>\n",
       "      <td>1.510697e+04</td>\n",
       "      <td>1.494309</td>\n",
       "      <td>0.007542</td>\n",
       "      <td>0.234303</td>\n",
       "      <td>3.409430</td>\n",
       "      <td>7.656873</td>\n",
       "      <td>1788.390691</td>\n",
       "      <td>291.509045</td>\n",
       "      <td>1971.005136</td>\n",
       "      <td>84.402258</td>\n",
       "      <td>98077.939805</td>\n",
       "      <td>47.560053</td>\n",
       "      <td>-122.213896</td>\n",
       "      <td>1986.552492</td>\n",
       "      <td>12768.455652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.876566e+09</td>\n",
       "      <td>3.671272e+05</td>\n",
       "      <td>0.930062</td>\n",
       "      <td>0.770163</td>\n",
       "      <td>918.440897</td>\n",
       "      <td>4.142051e+04</td>\n",
       "      <td>0.539989</td>\n",
       "      <td>0.086517</td>\n",
       "      <td>0.766318</td>\n",
       "      <td>0.650743</td>\n",
       "      <td>1.175459</td>\n",
       "      <td>828.090978</td>\n",
       "      <td>442.575043</td>\n",
       "      <td>29.373411</td>\n",
       "      <td>401.679240</td>\n",
       "      <td>53.505026</td>\n",
       "      <td>0.138564</td>\n",
       "      <td>0.140828</td>\n",
       "      <td>685.391304</td>\n",
       "      <td>27304.179631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000102e+06</td>\n",
       "      <td>7.500000e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>290.000000</td>\n",
       "      <td>5.200000e+02</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>290.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1900.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98001.000000</td>\n",
       "      <td>47.155900</td>\n",
       "      <td>-122.519000</td>\n",
       "      <td>399.000000</td>\n",
       "      <td>651.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.123049e+09</td>\n",
       "      <td>3.219500e+05</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>1427.000000</td>\n",
       "      <td>5.040000e+03</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1190.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1951.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98033.000000</td>\n",
       "      <td>47.471000</td>\n",
       "      <td>-122.328000</td>\n",
       "      <td>1490.000000</td>\n",
       "      <td>5100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.904930e+09</td>\n",
       "      <td>4.500000e+05</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.250000</td>\n",
       "      <td>1910.000000</td>\n",
       "      <td>7.618000e+03</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1560.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1975.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98065.000000</td>\n",
       "      <td>47.571800</td>\n",
       "      <td>-122.230000</td>\n",
       "      <td>1840.000000</td>\n",
       "      <td>7620.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.308900e+09</td>\n",
       "      <td>6.450000e+05</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>2550.000000</td>\n",
       "      <td>1.068800e+04</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2210.000000</td>\n",
       "      <td>560.000000</td>\n",
       "      <td>1997.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98118.000000</td>\n",
       "      <td>47.678000</td>\n",
       "      <td>-122.125000</td>\n",
       "      <td>2360.000000</td>\n",
       "      <td>10083.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.900000e+09</td>\n",
       "      <td>7.700000e+06</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>13540.000000</td>\n",
       "      <td>1.651359e+06</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>9410.000000</td>\n",
       "      <td>4820.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>98199.000000</td>\n",
       "      <td>47.777600</td>\n",
       "      <td>-121.315000</td>\n",
       "      <td>6210.000000</td>\n",
       "      <td>871200.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id         price      bedrooms     bathrooms   sqft_living  \\\n",
       "count  2.161300e+04  2.161300e+04  21613.000000  21613.000000  21613.000000   \n",
       "mean   4.580302e+09  5.400881e+05      3.370842      2.114757   2079.899736   \n",
       "std    2.876566e+09  3.671272e+05      0.930062      0.770163    918.440897   \n",
       "min    1.000102e+06  7.500000e+04      0.000000      0.000000    290.000000   \n",
       "25%    2.123049e+09  3.219500e+05      3.000000      1.750000   1427.000000   \n",
       "50%    3.904930e+09  4.500000e+05      3.000000      2.250000   1910.000000   \n",
       "75%    7.308900e+09  6.450000e+05      4.000000      2.500000   2550.000000   \n",
       "max    9.900000e+09  7.700000e+06     33.000000      8.000000  13540.000000   \n",
       "\n",
       "           sqft_lot        floors    waterfront          view     condition  \\\n",
       "count  2.161300e+04  21613.000000  21613.000000  21613.000000  21613.000000   \n",
       "mean   1.510697e+04      1.494309      0.007542      0.234303      3.409430   \n",
       "std    4.142051e+04      0.539989      0.086517      0.766318      0.650743   \n",
       "min    5.200000e+02      1.000000      0.000000      0.000000      1.000000   \n",
       "25%    5.040000e+03      1.000000      0.000000      0.000000      3.000000   \n",
       "50%    7.618000e+03      1.500000      0.000000      0.000000      3.000000   \n",
       "75%    1.068800e+04      2.000000      0.000000      0.000000      4.000000   \n",
       "max    1.651359e+06      3.500000      1.000000      4.000000      5.000000   \n",
       "\n",
       "              grade    sqft_above  sqft_basement      yr_built  yr_renovated  \\\n",
       "count  21613.000000  21613.000000   21613.000000  21613.000000  21613.000000   \n",
       "mean       7.656873   1788.390691     291.509045   1971.005136     84.402258   \n",
       "std        1.175459    828.090978     442.575043     29.373411    401.679240   \n",
       "min        1.000000    290.000000       0.000000   1900.000000      0.000000   \n",
       "25%        7.000000   1190.000000       0.000000   1951.000000      0.000000   \n",
       "50%        7.000000   1560.000000       0.000000   1975.000000      0.000000   \n",
       "75%        8.000000   2210.000000     560.000000   1997.000000      0.000000   \n",
       "max       13.000000   9410.000000    4820.000000   2015.000000   2015.000000   \n",
       "\n",
       "            zipcode           lat          long  sqft_living15     sqft_lot15  \n",
       "count  21613.000000  21613.000000  21613.000000   21613.000000   21613.000000  \n",
       "mean   98077.939805     47.560053   -122.213896    1986.552492   12768.455652  \n",
       "std       53.505026      0.138564      0.140828     685.391304   27304.179631  \n",
       "min    98001.000000     47.155900   -122.519000     399.000000     651.000000  \n",
       "25%    98033.000000     47.471000   -122.328000    1490.000000    5100.000000  \n",
       "50%    98065.000000     47.571800   -122.230000    1840.000000    7620.000000  \n",
       "75%    98118.000000     47.678000   -122.125000    2360.000000   10083.000000  \n",
       "max    98199.000000     47.777600   -121.315000    6210.000000  871200.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(['id','date', 'lat', 'long','zipcode'], axis =1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis and Data Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Zgu7jcqYDbcDTeeOKYU5JkiRJkiQViSxDtlty72d16z+LjkcmHwEeBFYCf9ttzLuBAXlzAMwCpkfEjO0duQMU3g38IaW0MdddLHNKkiRJkiSpSGS2J1tK6XcR8Vvg+xExipcPPvgE8KOU0gsAEfHPwLUR8T3gV3Scvvl14FcppQfzprwa+Afgloj4HB2PXX6CjsMV/ibvc1uLYU5JkiRJkiQVjywPPgB4J/Bl4LPAaGAJ8AXgG9sHpJSui4g24HLgw8Aa4Ed0O2kzpbQ1It4A/BfwQ6ASeAyYmVJ6tNvYophTkiRJkiRJxSFS2tVBl+rLIqIGqKurq6OmpibbYiRJkiRJkvqB+vp6amtrAWpzB0/uliz3ZJMkSZIkSZL6BUM2SZIkSZIkqUCGbJIkSZIkSVKBDNkkSZIkSZKkAhmySZIkSZIkSQUyZJMkSZIkSZIKZMgmSZIkSZIkFciQTZIkSZIkSSqQIZskSZIkSZJUIEM2SZIkSZIkqUCGbJIkSZIkSVKBDNkkSZJ2YcXWddy24hGeWF+XdSmSJEnqw8qyLkCSJKmvemTdc3xq3nW0pDYA3j3hVP5pylkZVyVJkqS+yJVskiRJO3Hdkns7AzaAm5fdz4aWLRlWJEmSpL7KkE2SJGkntra1dGm3pXaa21szqkaSJEl9mSGbJEnSTrxj/Eld2meMOoLRFUMzqkaSJEl9mXuySZIk7cRbDziGUeVDua/haSZXjebsscdmXZIkSZL6KEM2SZKkXTh+xBSOHzEl6zIkSZLUx/m4qCRJkiRJklQgQzZJkiRJkiSpQIZskiRJkiRJUoEM2SRJkiRJkqQCGbJJkiTthvUtm2lL7VmXIUmSpD7K00UlSZJ2YcXWdfzLgp/zdOMyxlQM4wuHvp0TRkzNuixJkiT1Ma5kkyRJ2oX/fn42TzcuA2D1tg185elf0ZraMq5KkiRJfY0r2SRJknbhucaVXdprmjeyoWUL1eVDMqqob1u5dTN3raynqrSMtxxYy+Cy8qxLkiRJ2icM2SRJknbhxBFTmbXi4c721EFjDdh2YumWTXzwkd/S2NoCwP+39BmuOfEsKkpLM65MkiRp7zNkkyRJ2oV/nHIm7SQeWvssUwaN5bKpZ2ddUp91+/LnOgM2gBe2bOSBhmWcMWZShlVJkiTtG4ZskiRJu1BVWsE/H3JB1mUUhZKIHfpKe+iTJEnqjzz4QJIkSXvEeeOmMnxARWf74MEjOKl6XIYVSZIk7TuuZJMkSdIeceDAwfzfSedw96oXqCobwOvHTGJAifuxSZKk/YMhmyRJkvaYEeWVvH3ioVmXIUmStM/5uKgkSZIkSZJUIEM2SZIkSZIkqUCGbJIkSZIkSVKB3JNNkiTt17a1t3DtC/fw6PrFHDZkPB+qeRNDygZmXZYkSZKKjCGbJEnar/33c7OZteJhAOZtXMKypnV8c/olGVclSZKkYuPjopIkab92z5r5Xdr3r11Ec3trRtVIkiSpWGUWskXEGRGRdvKa1m3szIh4MCKaImJ1RPw4Iob3MOfgiPhuRKzIjZ0bEeft5POLYk5JkrR3ja+s7tIeUzGUAVGaUTWSJEkqVn1hJdvlwMndXvXbL0bEGcAdwIvAucCngfOA2RHRvf5ZwMXAF4CzgYXArIg4K39QscwpSZL2vsumns2IAYMAGFRawWcOPp+IyLgqSZIkFZtIKWXzwR2h1D3ABSmlW3cx7mFgAHBcSqk91zcTuBO4KKV0U67vLGA2cGFKaVauL4A5QHVK6bBim3M3voc1QF1dXR01NTW7e5skSeqmub2Vus2rmVhVTVVpRdblSJIkKUP19fXU1tYC1KaU6nf3vr6wkm2nImI8cAJw/fbgCiCldBewDHh73vALgA3AbXnjEnAdMC0iDi+mOSVJ0r5TXlLGoUPGGbBJkiSp1/pCyPbjiGiNiA0R8ZuIOC7v2pG59/k93Dcv7/r2sQvzQ66cp7rNVSxzdhERwyOiJv8FTOhprCRJkiRJkvatLEO2DcCVwEeA1wOfAQ4H7ouI1+TGbN+JeG0P96/Nu7597M7G5c9VLHN2dxlQ1+01ZydjJUmSJEmStA+VZfXBKaXHgcfzuuZExK/pWA32n8Cb8ofvbJpXaPdmbF+bc7srgWu79U3AoE2SJEmSJClzmYVsPUkprYyIO+k4lROgIffe0+qukXRdEdawi3HkjS2WObtIKa0H1uf3efKZJEmSJElS39AX9mTrroSXV3MtyL33tE/ZdLrugbYAOCwiuv+Zpufe5+eNK4Y5JUmSJEmSVCT6VMgWEWOBmcCDACmlpcBc4OL8UCoi3giMB27Ju30WMBw4t9u0lwCLUkoLi2lOSZIkSZIkFY/MHheNiBuAxcBjwDpgGnA5MBD4XN7Qy4E7gRsj4ipgHPB14CHgl3nj7gDuAa6OiGo6Dga4FDgVOL/bxxfLnJIkSZIkSSoCWe7JNg+4CPg4MIiOvcruBf4jpdT5yGRK6e6IOAf4MjAb2ATcCnw2pdSWNy5FxNuAK3Kv4cBC4MKU0u35H1wsc0qSJEmSJKk4REq7OuhSfVlE1AB1dXV11NTUZFuMJEmSJElSP1BfX09tbS1AbUqpfnfv61N7skmSJEmSJEnFyJBNkiRJkiRJKpAhmyRJkiRJklQgQzZJkiRJkiSpQIZskiRJkiRJUoEM2SRJkiRJkqQCGbJJkiRJkiRJBSrLugBJkqR9bVNrE19ddAtzGp5mUtUoPnvw2zh62OSsy5IkSVIRcyWbJEna7/xw8e+5Z80CWlMbizev4vMLf05re1vWZUmSJKmIGbJJkqT9zvyNL3ZpNzRvYvnWdRlVI0mSpP7AkE2SJO13pg+b1KU9qnwI4ypHZFSNJEmS+gP3ZJMkSfudj9W+hfUtm/nLmo492T5z8PmUlZRmXZYkSZKKmCGbJEna7wwuq+Q/D39P1mVIkiSpH/FxUUmSJEmSJKlAhmySJEmSJElSgQzZJEmSXoXNrVu556X5LOh2QqkkSZL2b+7JJklSEdqwdTV/XHwVaza/wLTRp3Pq5PdQEm7cv7fVb1nNx564ivUtWwA4d+zx/MuhF2ZclSRJkvoCQzZJkorQz574f6xsfBaAFzY8RVtq5fW178+4qv7v/16c0xmwAdy+ci7vnXg6k6pGZViVJEmS+gIfF5Ukqcg0bFnaGbBtt2D1PRlVs3/Z1NK0Y1/rjn2SJEna/xiySZJUZAaXj6S8tKpLX/XA8RlVs38578DjCaKzffCgAzlsiN97SZIk+bioJElFp6KsirMP+SS/WfRNWtq3MXLgeGZO+VjWZe0XXls9je8e9QHuWv0kYyqG8Y7xJ1MS/s5SkiRJhmySJBWl48efxxFjXs/6rSs4YPAUDz3Yh44fMYXjR0zJugxJkiT1MYZskiQVqYEDhjBwwJCsy5AkSZKEe7JJkiRJkiRJBTNkkyRJkiRJkgpkyCZJkiRJkiQVyJBNkiRJkiRJKpAhmyRJkiRJklQgQzZJkiRJkiSpQIZskiRJkiRJUoEKCtkioiIixkdE+Z4qSJIkaW96etMy7mt4mq1tLVmXIkmSpH6krDc3RcSxwDeBU4FSYCZwd0SMAW4EvppS+sMeq1KSJGkP+I+nf8XsVY8BMKZiGD+a8REOrByRcVWSJEnqD171SraImAHMAaYAP8u/llJaDQwELt0j1UmSJO0hzzWu6AzYAFZv28CNS/+SYUWSJEnqT3rzuOhXgOXAEcA/A9Ht+h+BEwusS5IkaY9a37Klh77NGVQiSZKk/qg3IdtpwE9SSo1A6uH6EmBcQVVJkiTtYTOG1TBhYHVnOwjOPuC4DCuSJElSf9KbPdkqgQ27uD60l7VIkiTtNWUlpfzw6A9z87L7aWhu5K0HzOCEEVOzLkuSJEn9RG9CtueBXf3a9w3Awt6VI0mStPeMqhjK3x/01qzLkCRJUj/Um8dFfw78bUS8Ka8vAUTEp4C3AtfvgdokSZIkSZKkotCblWzfBGYCvweepiNg+05EjAbGAncBP9hjFUqSJEmSJEl93KteyZZSaqYjZPs00ARsBQ4B1gCfBc5JKbX3ppiI+FJEpIh4oodrMyPiwYhoiojVEfHjiBjew7jBEfHdiFiRGzs3Is7byecVxZySJEmSJEnq23rzuCgppdaU0ndSSsenlAallKpSSkenlL6VUmrtzZwRcQRwObCqh2tnAHcALwLn0hHwnQfMjojuf4ZZwMXAF4Cz6dgfblZEnFWMc0qSJEmSJKnvi5RS1jWQC6DuBx4BpgPDU0oz8q4/DAwAjtu+Si4iZgJ3AhellG7K9Z0FzAYuTCnNyvUFMAeoTikdVmxzvsL3rQaoq6uro6amZndukSTtJ1Y2PsfcZbcxoKSSEydcyIiBB2ZdkiRJklQU6uvrqa2tBahNKdXv7n2veiVbRHw5Iubv4vpTEfGFVzntJ4EJwOd7mG88cAJwff5jqCmlu4BlwNvzhl8AbABuyxuXgOuAaRFxeDHNKUlSb7y0uZ4fPfwBHnjxZv78ws/44SPvp6llY9ZlSZIkSf1abx4XvYCOww125i7gHbs7WUQcBHwF+MeUUk9/Azgy995TsDcv7/r2sQt72BPuqW5zFcucnSJieETU5L/oCCYlSeriiRW/o6V9W2d7c/M6Fr70pwwrkiRJkvq/3oRstXScKrozi3JjXlHuEcmfAL9PKd26k2HVufe1PVxbm3d9+9idjcufq1jmzHcZUNftNaeHcZKk/VzlgME79pUNyaASSZIkaf/Rq4MPgB1Oy8wzAijdzXk+DBwPfHw3xu5s87ju/bvaZG53x/a1OQGupCO8zH+dtos5JEn7qePGncuoqkmd7cnDj2baqFMzrEiSJEnq/8p6cc8C4Hzg690v5FamnceuV7ptHzsK+AbwVWBzRGwP7sqA0lx7K9CQ6+9pdddIuq4Ia9jFOPLGFsucnVJK64H1+X0d325JkrqqGjCMj590A8+seYABpRVMGXkCJbG7v/+SJEmS1Bu9Wcl2NXBSRFwbEaO3d+a+/l/gpNyYVzIBGEZHyLYu7/VaOvYkWwd8iY5QD3rYp4yOk0jz90BbAByWO620+zjyxhbLnJIk9UpZSTmHj3kdB1efZMAmSZIk7QOvOmRLKf0E+DlwCbAyIpZGxIvASuBS4OaU0g93Y6rngNf38HoSeD739VUppaXAXODi/FAqIt4IjAduyZtzFh2Psp7b7bMuARallBbm/gxFMackSZIkSZKKQ28eFyWl9N6I+DVwMTAVCODXwA0ppV/t5hyNwL3d+yNife56/rXLgTuBGyPiKmAcHY+rPgT8Mm/cHcA9wNURUU3H4QCXAqfS8YhrvmKZU5IkABau/hN3L/4pze1NvGb823nt5HdnXZIkSZKknF6FbAAppZuBm/dgLbv6rLsj4hzgy8BsYBNwK/DZlFJb3rgUEW8Drsi9hgMLgQtTSrcX45ySJAGsbVrOjfM+R3vufyd3PHslI6vGc9jo0zOuTJIkSRJApLSrQy7Vl0VEDVBXV1dHTU1NtsVIUp7m5k2sWfMYg4dMYuiQ2qzL6RceXX47tyz8jy59r5nwDs6b9pmMKuq/5m9cwsaWJo4fMYXykl7/PlKSJElFqr6+ntraWoDalFL97t73ij85RsQluS+vz63AumSXN+SklH62u0VIkvqPdesWct99H6eltRGAadM+zGHTPpRxVcXvwMGH7Ng3ZMc+FeZzC27g3jUdZxmNqxzBj2d8lFEVQzOuSpIkScVgd349ey2QgF8AzXnt2MU9CTBkk6T90F+f/mlnwAawaNE1TDnonZSXD8uwquI3buihvHnq33Nv3TW0tjczY+yZHHvg2VmX1a88uaG+M2ADWL51Hb9a/iB/V/vmDKuSJElSsdidkO31ACml5vy2JEk9aW5e36WdUistLZsN2faA19VcyikTL6I9tVFRVpV1Of3OhpYtO/Stb9mcQSWSJEkqRq8YsqWU/rSrtiRJ+SZPPpd1615eDTRq1HEMGjQuw4r6lwGlFVmX0G+dOGIqYyqGsXrbBgBKKeGsA47NuCpJkiQVi1e1m29EDAaeBP4npXTl3ilJklTMamsuoHzAUFas+DODh0xmykF/k3VJRe/FDfN58MVfURIlnDzxXYwbemg1D+qUAAAgAElEQVTWJfVLlaXlXDXjo9y87AE2tm7hnLHHcdSwyVmXJUmSpCLxqkK2lFJjRFQDja84WJK03xo//o2MH//GrMvoF17aXM9PH/0Yre0duzbMX303nzj5FwyvHJtxZf3TAZXD+fiUM7MuQ5IkSUWopBf3PAgcv6cLkSRJO5q36o+dARtAc1sTC1ffm11BkiRJknr0qlay5fwzcHdEPARcm1JKe7gmSZKUM6Ri1G71tad21m9dydCK0ZSVDNgXpfU7KSXuXP0kj2+o4/AhEzl77LGURm9+H6ntHl27kntWL+HAgYN42/hDGFTmv5uSJKn/6k3I9m1gHfBT4BsR8TzQ/TiulFLyOSFJkgo0Y+xbeHz5b3hhw1MATBl5IoePPqPLmFWNz/N/T36WtU1LGVQ+gr854stMrX5NBtUWt5/U/4FrltwDwG0rHuHZxuV86uDzAHimcTk/rruLl5o38uYxR3PxhNOIiCzL7fPuXb2Ez8+b09n+y0vL+OHxb86wIkmSpL2rNyHbQUACluTaB+y5ciRJ/UF7ewsRZYYQe8CA0ko+fPxVvLhxPiWUMmHY4TuM+c2ib7O2aSkAm5vXccvC/+TTp95KiauwXpVbVzzcpf3rFXO5bOo5tLS3cdlT17CuZTMAzzauYFBpBReMM8jclV8ve65L+6kNL7G4cT0HDR6eUUWSJEl716sO2VJKNXuhDklSP9DS0sijj32FFSvmMHDgaI4++rMcOPbUrMsqehHBpGHTd3r9pc31Xdobtq2ipa2JirJBe7my/mVQWWVnkAZQVVZOCcHCTS926Qe4r2GRIdsr6P5oaABVpb35/a4kSVJx6PWvuCOiIiLeEhEfy73eHBGVe7I4SVJxefrpq1mx4k9AO01Nq5g794u0dAsntOcdOvq1Xdo1w48xYOuFj9bMpISXV19+pGYmEcGEgdWUdvuRqaZq9L4ur+j8bc0RDCp9OWg7f/zBjB04OMOKJEmS9q5e/ToxIi6hY2+2EdD502gC1kfEp1JK1+6Z8iRJxWTd+oVd2q2tW2hsXMKIEYdlVNH+4exDPsmAkgqeXzuXcUMO4S0HfzzrkorSpKpRVJVW0Ni2FYClTWsBGFMxjE9MPYsfLP49W9tbOHroZP520uuyLLUoHDJkJL987fk81LCccQMHc+Qwg0lJktS/veqQLSLeBVxLx55s3wQW0hG0HQ78HXB1RDSllG7ag3VKkorAqFHH0tDwRGe7vHwYQ4celGFF+4fy0oGcc+insi6j6F37wr2dARvAL5b+hYsmvJbRFUN55/hTOOuA42hsbeKASvcU213DBlTw5rG1WZchSZK0T/RmJdu/AE8DJ6WUNub13xYRPwAeAj4PGLJJ0n7m0EPeR/O29Sxb/keqqsZx1PRPUlpakXVZ0m7Z2Nr1sPR2Eo2tTYyuGArAoLIKBpX577MkSZJ61puQ7VDgi90CNgBSShsi4hrgS4UWJkkqPqWlFcyYcTkzZlyedSnSq3bu2ON5dP3izvaRQydRO8hD1CVJkrR7ehOyrYS8XYF31A6s6l05kiRJ2XjLATMYVFbJvS/NZ9zAkbxz/MlZlyRJkqQi0puQ7VrgfRHxg5RSY/6FiBgKfAC4Zg/UJkmStE+dWj2NU6unZV2GJEmSilBvQrY5wDnAvNwebE/TcbLo4cDHgDXAnIg4Pf+mlNKfC6xVkiRJkiRJ6pN6E7Ldlff11+kI2ODlR0gndxsTuTGlvfgsSZKkTLWmNn659AHmrn+eaUPG896JpzOwtDzrsiRJktTH9CZke/8er0KS1G9talzCM89cy7Zta5k08SwmTHhz1iUVlZc213NP3TWsanyOAwZP5Y0HfYjqqolZl7Vf+dHiO7lh6RwA7l+7iLrNq7jiiIszrkqSJEl9zasO2VJK1+2NQiRJ/U9b21b+8pePsXXrGgBWrXqAkpJyxo07I9vCikRzWxM/efTv2Ny8DoCVjc8xf9Uf+NDxP2LSsOkZV7f/+P3qJ7u0/7RmIVvbmql0NZskSZLylGRdgCSp/1qz5onOgG27pcvu2slodbd47aOdAdt2bamVB5bclFFF+6fRFUO6tIcNqGJASW8eBpAkSVJ/ZsgmSdprqqrG7tg3cMc+9Wy436t9prW9je8+fwfnPfA1Pvz4j5i3YUnntX886EwGlVYAMCBK+cSUsykNf4SSJElSV/6EKEnaa4YMqWHq1IvZfjbOkCEHMXXqe7ItqoiMHTyVUyZe1KWvNAZw8sR3ZVRR/3XD0jncuPQvvNS8kfkbl/Dp+dexta0ZgGOHH8RtJ13O/xz1QW496XLecsCMjKuVJElSX+SzDpKkverwwz5CWdlANm5czORJ51BZWZ11SUXl7EM/yWsmXMhTq/5AaZRxxAGvZ1TVpKzL6hfaUzu/XfUECzYu4YkN9V2ubWxtYtGm5Rw9vAaAQWWVHD9iyr4vUtJe17CtlV8v2cjm1sSZ4wczZWhF1iVJkoqUIZsk9aB120Y2vHA3BAyf/CZKywdnXVLReviRL7ByZcfJjMuX382xx3yRyZPPybiq4jJq0GTecNAHsy6j3/nu87/lpmX37fT671c/0RmySeqftra18/cPLGdlUysAty3ZyA9PHsdUgzZJUi/4uKgkddO6bQPPzr6EZQ99jWUPfo1nZ19KW3Nj1mUVpaam1Z0B23Z19bdkVI30spQSt654eJdj7lj1OCmlfVSRpCw89NKWzoANoLk98dulmzKsSJJUzAzZJKmb9Yt/R8vmlZ3t5sZlrK//Q4YVFa+S0goiSrv0lZUNyqga6WURQVVpeZe+7ocZVJWWExH7sixJ+1hV6Y5/Haoq869IkqTe8f8gktRNSu09dLbt+0L6gYryYbmDDzqUllYw7dD3Z1iR9LKP1MwkcodylBCcN/Z4SnLtIPhIzcwsy5O0Dxw3aiDHjKzsbI+uLOX8SUMzrEiSVMzCxyCKV0TUAHV1dXXU1NRkW4zUj7Q2reWZ2X9La1MDAAOqxnDwOddTVjEs48qK19p1C2jc9AJjxpxIZeWoHq83NDxJ9cjpjBw5PYMKi0NbeysPLf0VL26YT82IYzhh/NsoiVJe2lzPMw0PMGZQLVNHvsbVV69C/ebVLNi0lKOGTWbiwGpe3LKGpzYu4YghE6gZNCbr8vq99pS4f80yljc18trR4xk/cEjWJfUpy7c0cd+aBsYNrOTkUdWU+N/2XtGWEnPXNLG5tZ2TR1cx0JVskrTfq6+vp7a2FqA2pVS/u/cZshUxQzZp72lpamB93e+AEkYcdCZllcOzLqnfen7xL3nqqW92tqcfeRlTp747w4r6rll/vYK5y27rbJ866T3UjjyOG578LO251ZavmfAOzpv2maxKlF6VL82/j7tW1QNQXlLCd2a8gRkjDsi2qD7iiXXr+X+PPklL7mf1mWPH8K/TD8+4KkmS9g+9Ddn8NY0k9WDAwGpGH34xow9/twHbXrZo0TVd289cm00hfVx7aufx5Xd06Xt0xW/4c/3POgM2gEeWzWJL84Z9XV6/1drexo/q7uTiR67knxf8Hy9uWZN1Sf3G8qbGzoANoLm9nZ8v+Wt2BfUxN9a/2BmwAdy1cjUrmpoyrEiSJL2SsqwLkCTt31Jq7dpub93JyP1bSZRQNWAYm5pfDnkGDRjeJWCDjj0F23EPwT3lmiX3cN2SewFYvGU1izev4qYT/p+P5O4BbT3sf9lT3/6qrYenTXrqkyRJfYcr2SRJmZo65T1d2z4qulNvPfgfKcmd1loaA3jL1H/klIkXdW7eD3D02LcwuHxkViX2O/c3LOrSfrGpgSVNrmbbEyZWDeWU6nGd7dII3jlxWoYV9S3vmDSe0rws95RR1UyoqsquIEmS9IpcySZJykzD2nmsWv1AZ7uifASTJ5+XYUV924wDz6RmxLEs3/g0E4YdwdCKjkMkhg8cy6I19zFmUC1HjnljxlX2Dyklntq4hKFlA7v0V5VWMMZDUHZqS2sLT6xfzYSqIUyqeuUTGq846nTuXFnP8qZGXjdmIocMMSDe7qRR1fz4xOOYs3oN46oqmTnWveokSerrDNkkSftce3srDzzwSVa/9HCX/m3N63h+8S858oh/yKiyvm945QEMr+z4y3Z7aqMkSpk0bDqThnkq657S0t7KZU9dw2Mb6gCoKBnAtvYWhpRV8pmDz2dgaXnGFfZNz25axyce/yMbWrYB8MHa6XzgoKN2ec+AklLOHjdlX5RXlA4dOoRDh3riqiRJxcKQTZK0x6SUWLz4ZpavuJfBgyYybdqHGDhwzA7jVq68b4eAbbtmN+1/RZu2NfDLBV/i+bUPM2ZQLRce/kUmDjsi67L6jT+tWdgZsAFsa2/h1OrDOHLIRGYMq82wsr7tf+vmdQZsANfVL+CCCYcworwyw6okSZL2ncz2ZIuIUyLi9xGxLCK2RsRLEXF3RJzZw9iZEfFgRDRFxOqI+HFE7HDcX0QMjojvRsSK3Ni5EdHjc0fFMqckFZPnnr+Rp+Z9mzVrHqP+hdu4/4FPknrYqHtb89oe748oZfKks/d2mUVv9jPf5vm1HSHl6s113DT/C7S7Yfwes66lcYe+vzT8lR/V38l75/43K7auy6Cqvm9989Yu7dbUzqbW5oyqkSRJ2veyPPhgBLAI+BTwVuAjwDbgjoi4aPugiDgDuAN4ETgX+DRwHjA7IrrXPwu4GPgCcDawEJgVEWflDyqWOSWp2Cxb9scu7Y0bn2NTY/0O4w4cezoDBuQ/AlXCuANfz2mn/pDq6qP3bpH9wNINC7q01zUtZ0uzwc+e8rpRR1BVWtHjtY2tTfxm5aP7uKLicOaBB3VpHzls1G7tyyZJktRfZPa4aEppNjA7vy8ibgfq6AjcfpHr/gYwH3hXSh2/po+IFcCdwDuBm3J9ZwFvAi5MKc3K9d0DHAR8i44AjCKbU5KKyqCqA1m3bn5nu6Skgsrc5vz5KiurOf30n7D4+Ztpa2+mtvZCRo7wccfdsbl5PeOGTmPd1hWdfaOqJjOohxNFW9ubWde0guqqCZ2nkmrntrW3kEgsa1rLFYe/h3vXLGDJlpe6PDoKUJJ3mqtedt74qVSVlfHn1UuZUDWEiyZ5UqgkSdq/9Kk92VJKrRGxAWgBiIjxwAnAp7YHV7lxd0XEMuDt5MIr4AJgA3Bb3rgUEdcBV0XE4SmlhcUyZy+/hZKUqUMP/QArVs6hra3jsbERIw6nvLznTbuHDqllxozL92V5Re93z36P+5b8nPbUxuDyappbtzB2yMGcf9jlRHQNfp5teJCb5/8rW1o2MLxyLBcf/V+MG3JIRpX3ba3tbXzt2Vv57crHaOflx5tfM+JgvnnkJXzw8R9St2U1ACMGDOLcA4/PqtQ+700H1PCmA2qyLkOSJCkTmYdsuUcpS4AxwEeBQ+h41BLgyNz7/B5unZd3ffvYhfkhV85T+deLaM4ucnu7dd/fbUIPnydJmVm7dl5nwAbQ0PA4L700l9GjDSUKtXTDQua8cH1nu7G5gbMOuYzXTnr3DmPbUzuzFl7BlpaOQyTWb13J7EXf5sPH/2if1VtMblvxCLN7eAT0oXXPMnf9Yn567Mf44+p5bG1v4Y2jpzOyfHAGVUqSJKmvyzxkA26mY6UXwEbgb1JKv8u1q3PvPe2QvRY4Nq9dDTyzk3H5cxXLnN1dBvzbTq5JUp+wqfGFHfoaG5cYshVgXdMKHl56C4vW3LfDtTWbl+zQfnT57QBs2Laq67UtO/6z2Z/N37iEu1Y/xeiKoTy5vn6n4xZvWcVpow7j3AOP59nGFczfuITjhk9hUFnPe7ZJkiRp/9UXQrbPAl8HxgLvAW6OiEtTSjfmjdnxaLqe+3c27tWM7WtzbnclcG23vgnAnF3MJUn71IFjT+O5527obJeUDGDMmJMyrKi4NW5r4AcPv48tLet7vD5t9GmdXzdsWcr3H76U5rYtAJREGe2ptcex+7tH1j3HZU9d0/lo6MgBO1+Zdlr1YQB89/k7uHHpXwAYVlbF92d8iCmDxu79YiVJklQ0Mg/ZUkqLgcW55u25ww++HxE3AQ25/p5Wd42k68qxhl2MI29ssczZRUppPdDlb1nd99+RpKyNGnUMJxz/Hzy/+GZKSys59JBLGTRoXNZlFa15q+/uMWAbUFLJ+dMu59BRp3T2PbHit50BG0B7amV0VQ1lJeUcNPJ43jTlo/uk5mJw64qHu+y9tralkarScra0NXf2DSmr5FNTzuOgQQfw1Pp6fpEL2AA2tG7huiX38pXDLkKSJEnaLvOQrQcPA+cAo4EFub4j6TilM9904P689gLg7RFR0m2/s+m59/l544phTkkqShMmzGTChJlZl9EvNG5r6LG/pX0rd9ddzYDSCjZta6CdNlIPC6HXNi3jc6ffwcABQ/d2qUUlelgz/tUjLua+hqdZ07yJE4dP5berHudLi27mG8/dxpa2bTuM39jStA8qlV69dc3NvLiliWlDh1BeUpJ1OZIk7Vf6VMgWHUuzzqBjxVZD7rTRucDFEXHl9lAqIt4IjAduybt9FvBB4FzyTu4ELgEWbT+xM6W0tBjmlCTt39pTO0+suGOn19c2LeXGef/S2R5cPpKyknJa219ejdWWWli9uY7Jw4/eq7UWkyfW1zFn7dNd+t40ejonjjiYE0ccDMA/Pfm/PLmxYw+7ngI2gHPGHrd3C5V64ddLl/Odp5+lNSVGlg/gW8cezdQhHtQhSdK+klnIFhE3AC8AjwJrgAOBS4E3AB9PqXMjmcvpWB12Y0RcBYyjYw+3h4Bf5k15B3APcHVEVAN1uflOBc7v9vHFMqckaT/V2LyW9d0OL3il8VNHvobn1j7U2VdZNoQDhxyyN8orWtct+RPN7S/vVVdCcNmUc7qMWbBpSffbOs0YVsPFE0/n1Oppe61GqTea2tr43jPP05o6lmqubW7hx88t5r+OOSrjyiRJ2n9kuZLtAeBi4KPAMGADMBc4L6V0+/ZBKaW7I+Ic4MvAbGATcCvw2ZRSW964FBFvA67IvYYDC4EL8+crpjklSfuvIeXVVFdNpGHLi7t9z5SRJzB60GSeWnUXwyvHcubBn6C8dOBerLL4bM1b6QfQTqI574AIgBnDarl/7aId7q0qLeerR1zM8AGD9mqNUm80trTS1NbWpW/11p5XYkqSpL0jUtrVQZfqyyKiBqirq6ujpqYm22IkSXvcyk3Pcv2Tn2H91hU7GRFsP5R6aMVo/uE1P2Nw+cidjBXAXauf5F//elNn+5SRh/Kt6Zd2GbN62wa+9swsHl9fxwGVw6koKWNU+VDeP/n1HDl00r4uWdptf//IY8xbv7Gz/eEptVxy0OQMK5IkqTjV19dTW1sLUJtSqt/d+/rUnmySJOllY4cczEkT38Hvnv2fLv2lMYBRgybz5ikfY+O21bSndo46YCZV5cMyqrR4zBxzNCMHDObPDQuZOHAU54w9focxYyqG8e3p7wPgucYV3L7yUQaWljOmwu+v+rYrjj6S6+uWULd5M6eMqubCieOzLkmSpP2KK9mKmCvZJKn/27htDd978L1sblkHwJCK0fzTa24wUNsHFm9exfsf+37nHm6jyofwixM+yaCyyowrkyRJ0t7kSjZJkvqhoRX/P3v3HR5XeSV+/Hunz6j3bkm2LLlXbGxjOoQOgZCEJAQCaaQnG7JkU0jZJLsJAbLpIZssafCjpxBTQreNe2+yJEu2eu/S9Lm/PyTLGs1INvYdzVzN+TyPHnPf972HgxhLM+e+JZPPnP9H9rZsQFGMrMi7NqTA5vT2s7tlAynWLBZkX4pBMUQp25nlhbY9QYckdHoGeLPzMFnWZNLMCZQl5kUxOyGEEEIIEWukyCaEEELEuBRbNheXfiRsX3XXdv6w5wuoBEbGWnP4/NrHsJkSpzHDmSnBGDpj7Re1L9LtHQTgutyVfKPiPdOdlhBCCCGEiFHyqFsIIYSIQYPuLv5e+SN+t+szbK5/nIAaCDvuH5U/GiuwAfS52/jdrs/g9cupgufqprzzKLCdOkgi25I8VmAD+GfrLo4ONEcjNSGEEEIIEYNkJpsQQggRg/64716a+g8DUNuzk9drf88tC77BguyLg8YNe/tC7m0eqGRT/WNcWnrXtOQ6Uzh9br5+5HH29h7HZDBwaeYifrbkoxwdasZusPBC2x5eat8bdE+3ZyBK2QohhBBCiFgjM9mEEEKIGNPjbB4rsJ3k9PXzl/330TXcFNS+PP+6sDEa+g5GLD+963D385Oaf/K1Q4/xRuehsfZP7P0NW7qrcAY8DPhc/L11J18/8hiXZC7k/PS5XJu7AgVlbHyONYWVaXOi8Z8ghBBCCCFikMxkE0IIIWKMw5yKxWjH43dO6FF5u/5xbph371jLNXM/j1ExsvHEn4NG5iWWT0Om+uNXA3x23/9S7+wE4PXOg3x/wQe4NHMRNUOtIeOPDDRRP9zJLEcmq9PKeGjxnWxo202aOYHbCtdjMchbKSGEEEIIMUJmsgkhhBAxxmpycM3cL8C4WVMnZSUUB10bFANXz/0cdyx7mEx7MQbFCMCbxx/lr0f+C1VVpyNl3TjU3zBWYDvpmaatKIqCRQktmJkVE6nmhLHrNenlfHf+bXyp7AbybGkRz3cmU1WVdtcwvkD4/QaFEEIIIfRGimxCCCFEDFpdeDOfWvV7jIp5rC3dXsDqwlvCjq/IXMflcz5GQPUDoBJgR9NfOdq1eVry1Yt0S+ipq/v7T9Dh7ueTpVeG9N1TeiXJZvt0pBZXjg/18cGtz3Pz5ue4ZfNf2dUdOotQCCGEEEJvZI2DEEKIadPaupn29q0kp8xlVtG1GGSp3ZQyHEVcMfvj1PbsojxjPeuK3zfl+I6hE2HajjMvc32kUtSdQnsGC5OKODTQMNbmUwO81XmYDxZdyJXZS/hX234yrEksTy0l25oSxWxnroerdlI/3A9Al8fJD45s5al1N2FQQmdvCiGEEELohXy6EUIIMS1qa59m3/4Hxq67OveycuX9UcwotgVUP7/ddQ9tgzUA1HTvINmWxaKcSxny9NI5XE9+UgVmo3XsnrykiqAYBsVIRca6ac1bD67JWR5UZAPIsCYBkGVN4YOzLsQX8LO37zj9XidlibnRSHNGqxvsDbpudQ3h9PtIMJknuUMIIYQQIvZJkU0IIcS0qK17Oui6ofFFliz5N8zm0OV7Ao737BkrsMHI8s/HD3yVpR1Xcaj9dXwBDwnmNO5Y/jCFyfPZfOJxXqj+KTBSXMtJmMMVZZ/Ep/po6q+kIHletP5TYs61uSt4oW3PWKFtTVo56zNOfX863P18au8jNLm6Abgh9zy+VhF+ma44O2szCni+5djY9ZKULCmwCSGEEEL3pMgmhBBiWhiNtqBrg8GEEmajeTHCbAy/D9i+1pfG/nnI28NL1T9jftZFvFD9P6iMHHIQUP2oqsrL1b+gbagWgNlpK7lj2cNBM9/ild1o4bfL72F/fz0Wg5H5SYVB/U80bh4rsAH8o3UntxasIdFoY0Pbbg71N5BnS+MjxZfKctKz9IXylZgNBnb2tFKemM7n5q6IdkpCCCGEEOdMPt0IIYSYFvMqPsq27fehjm7MXz73Dkwm22nuil9FKQupyFzP0c5NU45rG6qjtmdXSHvrUHXQdW3PLg60/YsV+ddrmqdeKYrC0pTisH1d3sGQtkfq/sXm7qNBbbt6a3l81RcxKHKO1DvlMJm5d97qaKchhBBCCKEpKbIJIYTQhNvdw569/01nx05SU+exbNl9JCbOGuvPy7uQK694io6OnSSnlJGetjCK2cY+X8DD0tyrGPL00Nh/aKzdYrDjCTjHru2mJIY83eFChOhztWue50x0dfYyXmrbOzYz0GG0hBTYAOqdnRwdbA6ZCSeEEEIIIeKTFNmEEEJoYu++H9HS8gYAHZ072bHzm1x6yR+CxiQkFJCQUBCF7PTFH/Dx2533BBXXTvIEnGQ5Ski2ZVOesYZBdzcb60NPFQ1nUc5lWqc6o7j8Xrb1VJNssvPgojt4oultdvXWMuz3hB1vxECmJXmasxRCCCGEELFKimxCCCE00d6+Lei6t7cSn28Yk8kRpYz0q7pra9gC20kdw8e5fekDZCbMYtjTx5bGp/EFXFPGXJxzBVkJJRpnOnPs6jnGVw7+CWdgpKC2PmMeWdZkfKPLmydSgI+WXEaWVYpsQgghhBBihBTZhBBCnDO/343f7w5qM5kcUmA7S75A+JlT4/1qx12syLuO3S0bTltgMxtsvG/Rd7VKb8bp9gzypQOP4h1XUNvUVcnq1LKQsckmOzfmruK9hWvl0AMRFY8fr+fFljZSLWY+NqeUxanyOhRCCCFihezUK4QQ4py5XF2oqi+ozWpJi1I2+leRuY5ES/qUY1y+Qd5ueAKXbyCkz2IMLm5eXHInBsWoaY4zyaauyqAC20kr0uZgmvB96/c52dNXJwU2ERUbmlv4ZXUttYND7O7u5St79jPo9Z3+RiGEEEJMCymyCSGEOGcJCfkkJ88JaisouPyM71dVP52de+jrq9I6NV0yG218atXvsRkTz+r+2WkruXz2Payf9SFuX/oAl86+W+MMZ46dPcd4pmlrSHuS0cb69HkU2TNC+g4NNNDnHZ6O9HTPrwbY29NG1cCZHc4hpra1M/j7OOTzs7+3L0rZCCGEEGIiWS4qhBBCE2vO/zGHDv+CgYHj5OZewPx5Hz+j+zyePjZu+hT9/ccAKCi4gtWrvh/JVHXBbk4hzZ5Py+BI4THBnMqQt/eM7q3s3Ehl50aMipncxLmRTFPXHmvYxM9qN4S0Z1iS+MXSj/FwzfPUDYeeyJppSSbRZJuOFHWt3+vms7tf4djgyOv2suxZfHfRehRFiXJm+lWakMDrdIxdG4CSRFmWL4QQQsQKKbIJIYTQREJC/hkXxzo799Dc/BoORz4eb/9YgQ2gqekVOkvfQ2bmikilqgt7Wts7iHUAACAASURBVP45VmADTltgsxgdePzBs6v8qpdnj/wnZRmrSbKGzsiKZ76An0eO/yuk/ersZdw/770oisLRwaaw9/pVP4M+FylmKW5M5bnG6rECG8Br7fXc3NvOirScKGalb+8vLuRQXz/burqxGQx8rKyUfLs92mkJIYQQYpQU2YQQQkyr5pY32bbtPkAFwGbLChnjcnVNc1axZ8B95t+D68vv5UjHmxzr2RHSF1D9NA8cpcK6Tsv0dM8d8OIOeEPaFyQXjs20Wpk6h1c7DoSM6fEO8WLbHt5feEHE89Sz+uH+kLZutzMKmcwcDpOJH69YQrfbg91kxG6UvRaFEEKIWCJ7sgkhhJhWdXXPcrLABuBydQCnlo9ZLKnk5Kyd/sRizOLcKzBw+g/QdlMyS3PfxeKcK8L2mwwWipIXap2e7iWYbFyYPi+oLcOcyNzEPLo9I4dJfGXuTVyRtRiH0RJyv18NTEueeuUJ+NnW1RzUlmA0sSYzP0oZzSzpVosU2IQQQogYJDPZhBBCTCuTceJeVgrnrfwOrW2bMJkSmFv2Qczms9vwfybpdbYS4PSFnNWFN+OwpLA07xo2VP0ET+DUTCGbMYH3Lf4eDouchBnOdxbcxmMNG9nVW0uhLYM9fbV8au9vMSoGPl16FR8supD/XPAB+rzD3LHrZ7S7RzaYTzcncnXOsihnH9v29LTT43UHtS1JzSbRFFqwFJHjV1XaXC6yrVZMBnm2LoQQQkSaFNmEEEJMq/LyO2nv2I7PN7J/WEnxjRQVXUVR0VVRziy2bK5/nPEz/iaz8cSfKU07j79V/ldQgU3ByAeW/JCyjFURzFLf7EYLHy25nI9yOd+rfJpG18jJjX41wK/qXubqnOWkWxJJMTt4dMVneLF9LwFV5eqcZaRbkqKcfWzLsobuE1aSIMXe6dLpdtMy7OTbB4/Q7nKTZbXw3SULWZQq/w+EEEKISJIimxBCCM0FAl78fnfYGWlpaQu48oqnaWvfSoIjn8zM5VHIMPZ1O8Nvuj9RQPXzQtVP6HEGL81T8fPs4f/k3y/8eyTSm3FaXD1B1z7VT4e7n3TLyGs4zZLIBwrXRyM1XZqdmMqthRU83XgUgCJHErfNmh/lrGa+NpeLr+89yNGBQYwK+Efr9B1uDw8cqeIPa6XoLoQQQkSSFNmEEEJoYnCokWM1j9Pc8iYuVyegkp93Keed922ME5aI2mwZFORfxokT/6CldSMF+ZeRnr4oOonHKIvxzE4MNCgmepwtYfv63Z1apjRjbOw8wq7eWuYl5ZNotLOz9xg51tSgMbPsmcxNzI1ShjPDlyrO4z1F5fR4XCxKycSoyHLFSPtVVS1HBwaBUwW2k04MDYe5QwghhBBakiKbEEKIc9bSspFt2+9DVf1B7c0tr3OsdiHlcz88ru1NursP0tq6kYGBOgBqah5n3dqHyclZM615x7LFOVfwau0jIe12UzJO36lTGysy1nGk862wMSxGa8Ty06vHGjbys9oXwvYtSS7GbDCSb0vnruJLMUwoCvV6h/j+0WfY0l3FbEcOXy2/mQXJhdORtm7NciQzy5Ec7TTiRu3g4KR96zIzpjETIYQQIj5JkU0IIcQ5aW19m63b7p20v7v7AAADA8eprv4LJ+rDLV8MUFv3tBTZxlldcHPYItsdyx5iU/1f6ByqZ37WRTT1H5k0Rlm6fD8neqppy6R9hwYa+NcF92MPc5oowE+PbWBTVyUA1UMtfOPI4zy9+sshxTghouX8zAzqxs1YSzSZyLRaWJSawqfmzo5iZkIIIUR8kCKbEEKIc3L48C+n7O/rq+Wll29heHjqPcaMMusqiMloQcGAOuGE0SFvDx9c8t80D1Tx3OHv0zxwNOz9FqODtUXvnY5UdcVmNE/a51cDfHDHT/ivhR9iXlIBAL6An4ePPc+G1t14J8zUbHH1UDXQzDyZzSZixMfmlOBXVbZ0dFGS6ODTc+dQlOCIdlpCCCFE3JBHr0IIIc6JP+Cdsn94uOG0BTaTycHcubdrmZbu2UyJpDtCizf/qHwQVVV54sDXaR6oZLITSD3+YR7d+0WOde+McKb6cnfxZRhQJu1vdfdyz95HcPo9ADzTvJVnm7fhCnjxq4GQ8f9X/3rEcp3pBrwe7j+wiSveeIKP73iRo/3d0U5J96xGI5+vKOPx9efzX8sWS4FNCCGEmGZSZBNCCHFO5lXcddb3zp79PhYu+Cxzyz5MR/sOBgZOaJiZ/q2f9cGQtj53K13OBjqH6097vy/g5tnD35MDEMa5Mnspj636Iv8+9yYckywLdQe87Ow5BsCB/qm/zwf7GzTPMV78smYPr7afwOn3cbi/i68feIuAGr5oLESk+AIqm9qG+GdDP30e/+lvEEIIIaYgy0WFEEKck6KiqwGFg4d+RiDgpbDgXTQ2vYzH0zvpPXPm3EZR0dUE/B42bvoMqjoyG+7Q4V9QUX4XCxbcM03ZxzZfwBPSZjJYaOw7EnYpaTi9rhZ+ue1OPr/mMRyWlEikqTvFjiyKHVls6qrk7e7wy21zbSOnjS5JLubVjgOTxlqSUhyRHPWmyTnAw0d3UjXQw6r0XL5UcR6JpvBFzJP29rYHXbe4hmh3DZFrT4xkqkKMUVWVe3e0sKfbBcBvjnbz63UF5DsmX1YuhBBCTEVmsgkhhDhnRUVXcc3Vz3PdtS+xZMkXKS+/g3C/YqzWdNat/R+WLP4Saanzqar+01iB7aSjVY/idHZMU+axzWQILVL4Ah6eOnR/2AKbUTGTkxC6ufmAp5MD7a9EJEc9u6/83axOK0NBCVpA+u68VcxNzAPgloLzeU/+GuwGC/m2NL4w51oWJhVhUoysSSvny2U3RCf5GPONAxvZ0tVMl8fJi611/KRq12nvWZiSGXSdbXWQZZPljWL67O12jRXYAPq8AZ490T/FHUIIIcTUZCabEEIIzQQCPjZt/jRdXftC+uz2HK6+KvhkUb/fHSaKyrCzBbs9K0JZ6kd97/4zHluReQHvWXA/FqOdJw/ez+GON4L6wxXs4pVfDfBi2x4ODzRyY94q/mfJ3aiqypGBJlLMDgrs6WNjTYqRe+feyL1zbxxru61wfTTSjln9XjdVAz1BbTu7W05732fKltPrcbG1q5liRzJfnb8Go5zUKqaRJxC6PNntP/0MYSGEEGIyUmQTQgihmdbWTWELbElJJaxc8e2Q9tmzb6WjY3tIu8mYEIn0dKdz+Mz2qFNQuLjkThIsI0scb17wNVq3V9PtHDlwIiuhhEXZl0csT715uOZ5nmneCsCzzdtoKOnkI8WXskBOCT0riSYLebYEWlxDY23lSelT3DEizWLjx8suJaCqGJTJD6MQIlJWZtgpSTRzfHBkRrXFoHBDUXKUsxJCCKFnUmQTQgihGa93IKRtbtmHWbTos2HH5+ddTHHxjZw4cWqGm8ORR3JyacRy1JPyzAto6D902nE3VHyF4tSlAHj9LloGqvnw0h/T1F+JohhYkH0JFqMt0unqgi/g5x8twSeuPtO8jY8UXwpAg7OLZJOdFPOpZYu1Q20M+FwsTi7CIDOtQhgUhW8uXMf3Dm2h2TXIvKR0vlh+3ju6X4hoMBkUfr4mnw2NA/R7A1yZl0hJksz6FUIIcfaiVmRTFOVy4MPAWqAI6Aa2A99SVfXAhLFXAv8JLAUGgOeA+1RV7Z0wLhH4AfBeIBU4BHxXVdXg9Uk6iimEEHqSl3cx1sO/xO3uBsBotFFcfP2U9yxbeh82awbNLW+SmFjEwoWfRZFCBgAXl9xJQPVxoO1VUq151PRsDRljMlhYnHsFAK2DNfx+92cZ8vSgYOCqsk9zYcmHpzvtmKYoClajGY/PN9bmMFro8w5z78E/crC/HrNi5O7iy/lI8SV8p/IpXmzbA8DshBx+ufTjQQU4MWJpajZPrruRQZ+XJLMUKYR+JJmNvL80NdppCCGEmCGi+SnmHmAW8DBwDfBvo9c7FEVZc3KQoiiXABuABuAG4F7gRuCfSuinsOeADwHfAK4DDgPPKYpy7fhBeokphBB6Y7Ekc8nFv6d87h3Mmf1+Lrn49yQllUx5j8FgYsGCe7ji8sdZc/6PSEqcNT3J6sCgp4uarm10Dp+gcSD8jLYbKu7FYR45NfSVY48w5BnZG0slwCu1j+D0yibe4xkVAx8vObV01oDCx0uu4LGGjRzsrwfAq/p55Pi/eKX9wFiBDUZmtD3dtGXac9YLRVGkwCaEEEKIuBbN5aKfUVU16Ox2RVFeBuqArwDvGW3+EXAQeL+qqoHRcS3Ay4zMBHtitO1a4ArgFlVVnxttex2YDTzISAEMncUUQsQIz2Az3dV/Q1X9pJfdiDVZCkGT6e4+yMBgPQ5HLn6/m507v43PP8ysWdeRn3dxyHi/30PNscfp7j5ARvoSyso+gMFgjkLmsefF6p+PLRd1+UKX4tpNySzKuZx/Hfs11Z1baBuqC+r3BTwc7djEsnx5hjPeewvWsTxlNpWDTSxNKaHInsFrHUGT6FFR+UvDmyH3trp7Q9rEmdvc2cgvqvfQ43FxTd5sPjN3uRx2IIQQQogZI2pFtokFttG2XkVRqoFCAEVRCoBVwJdPFq5Gx/1LUZQmRgpxT4w23wz0AX8bN05VFOUPwCOKoixQVfWwXmKe8TdSCBFxPmc31Rvuxj/64bqr6jnKr/8zlsS8KGcWe+rrN7Br93fGro8d+39j/9zS8iZrzn+AvLyLgu7Zt//HnDgx8iOxtXUjQ8NNLF/2H9OTcIxrGjgyZf815Z/niQPfoKpr8tlVTx/+LonWTMoyVmudnq6VJeZSlpg7dn1h5gJe7wyeLVg52BxyX7OzJ6RNnJkej4tvHNiEJ+AH4ImGSvLsiVyePYvNXU1kWR2sTs+TPdpETPP4VdpcXvLsZkwGea0KIYQIFlOPDhVFyQIWMTIjjNF/Ztz1eAfG9Z8ce3h8kWvU/gmx9BIziKIoqYqilIz/YrQYKYSIrN7618YKbAAB7xC9dS9FMaPY1dD44pT99fUbcDo78PmceL1DNDa+TEN98ATehoapY8QLf8DH4OjeduEUJi/icPvGKQtsMDIj6/mjD2qd3oxTM9hyRuP29NXiDngjnM3MdLi/c6zAdtLmjkZu2/IP/vvINr6893W+eWBjlLKbeQKqSqvThS8w8S2nOFu7u5y8940T3P5WI7e9WU9lnzvaKQkhhIgxMXO6qKIoCvAII4W/H482Z4z+Ge5TRjewYtx1BlA1ybjxsfQSc6IvAt+apE8IEUFGc0JImyFMmwCbLXPK/q7ufbz40vUYjXYUxYjPN/iOY8QDf8DHo3u+iNs/NOmYxv5wz3XC6xg+zp/3fYXblz6gRXozxusdB3n0xOs4/R4aXF1ndI8K7Oo5xrqMeZFNbgYqT0rHpBjwjXvO2O/zMOQ/VbR8o6OBY4M9zElMi0aKM0bNwCBf33eQZqeLTKuFby1ewLI02dz/XP34YAe9npHXb4fLz/8c7uRXawuinJUQQohYEksz2R4A3g3co6rqxPUx6iT3TGyfbNw7GRtrMU/6CVA64evCKeIIITSSMutS7OkVY9fW5GLSZl8TxYxiV0X5XdhsWZP0KmOnjvr9zrAFNoPByuJFX4hghvqwv/Vlant2aBrzSMdb9Ls7NY2pV/1eJ9898hRfO/wYVUMtZ1xgO+lvLdr+v4kXWVYH31iwlkyrHZNi4Lq82eTZQh9YuP3+MHeLd+KhyiqanS4AOt0efnjoaJQz0j9fQKV52BfU1jAks1qFEEIEi4mZbIqifB/4MvAFVVUfHdd18l1vuNld6QTPHOuaYhzjxuolZhBVVXuBoN2WFdmzRAhNqAE/fQ1v4u6rI6ngAhwTZqgYTDbKrvkdA01bUFUfSQUXYDDKCXrjBQJe6utfYHDwBCtX3I+iGLBaM6ivf57mljew27NRVZWurj2TxsjOPp85c24jN2fdNGYem9onHGBw0prC97G18cmzjuv1O8/63pnCp/r51N7fUDscsjVskAxzIgFUrAZzyGEHJoMxkinOaFfmlnBlbgkBVcWgKOzqbmVjZyN+deQZY4bFhtPvO00UcTrHB4eDrhudTjyBABZDLD1f1xeTQWF1lp1tHad+jl6Q7YhiRkIIIWJR1H/TKoryXeBrwL+rqvrTCd0ndyAOt0/ZYoL3QDsEzFeUkCOqFo/+eXDcOD3EFEJMk8atP6D+ra/Rtu+31Gy4i74Tr4WMUQwmkosuJGXWpVJgC2PHjm+wZ+/3qa75M5vf/hzHT/wdiyWJRYs+x7uufIYL1/+KwoLLp4zR3r6NLVu+RHX1X6Yp69hVnhm+0Li18UlMivWsYhoUExajfCDc23v8tAU2gC7vIMkmO2ZD6PPIigQ59ORcnTzcYGV6Lo+cdxXFjmQAujwuPr/nVV5sqY1merq3JjM96Pq89DQpsGng60uyua4wibIkC7cWJ/OFBbK9gRBCiGBR/W2rKMq3gG8C31RVNWSjGFVVG4GdwIfGF6UURbkcKACeHTf8OSAVuGFCmDuAoydP7NRLTCHE9PC5euipfWFci0rHkcejlo8eOZ1tNLe8EdTW2PgSr71+O65xy/CSUyowGE5foDxa9ajGGepPadpyluVeHbbPYrSdVcyA6mN/28vnktaMYH8HRfITzk4anKFLbA8PNmmZ0oz2z+ZjfGHPq/zg8BaanANhx+TYEqgf7g9qe6pBljeeiy/PL+emwnyKExxclZfDNxfNj3ZKM0KKxci/L87id+sL+dyCTBwmKVwKIYQIFrXlooqifBn4NvA88IqiKGvGdbtVVT25pug+4GXgcUVRHgHygR8C24Cnxt2zAXgd+J2iKBlAHXAnsB64acK/Xi8xhRARF27ZtSzFficMBjMjz2yCT7Bzu3toaHiRuXM/BMCRw78iEPCcNp6q+lBVNa6XxPc4WzjU/nrYvmFff9j2M+Hxuc763pliYXIRF6TPY3N3JTDyt32qjVLD2dRVGfev0TPxQkstPziydex6V08bT6y9EdOEGVVGRcGgKGNLRgEssiT3nCSYTNw7vzzaaQghhBBxJ5qPX07O5Loe2DLh67mTg1RVfW10TAnwT+Ch0T+vUVXVP26cysjBCf8P+AHwArAEuEVV1X+M/xfrJaYQIvJMtlTSy2481aAYyVp4e/QS0iGrNZ3ZpbeE7TOMW2rndIVfoqcowR+mc3MvjPviRWXnJrwB9yS977QkdEqidbIDrOPLjxbdzk8W38WlmYvO6rvpVwO81L5X87xmmtfaTgRdt7qGONwfOjMw2WzlfUWn9sI0KQbuKFkY8fyEEEIIIbSmqOrZv1kX0aUoSglQV1dXR0lJSXSTEULHVFVloGkzrr46kvLXYk8ri3ZKutTSspE9e76P29MDgNWagd2ezeBgI0lJszAYLEEHHzgc+WRmLqe+/p8TIimsXfMgubkXTGP2saWyYxN/2vdlzeN+bOWvKU1brnlcvbpjx0+pHm49q3vfnbea+8rfrXFGM8uDR3fwbGPV2LUBhacuuIncMCeKAuztaaNuqI9V6XkUOpKmK00hhBBCiBDHjx+ntLQUoFRV1eNnel9MnC4qhBDRpCgKyYXrSS5cH+1UdC0v70IyM5+hqekV2tt30NT8L9zukT3ZenoOhYwfHm6mpyfc/mIqJ+qfj+siW3nmOvKT5tE8UKlZTLPBTknqMs3i6d3LbfvOqMBWYMvgI7Mu5vtVzwa1L06eFanUZow7iheyq7uVE8P9GBWFj5QsnrTABrAsLYdlaTnTmKEQQgghhLakyCaEEEIzg4MnOHr0/xh2tpzZDWogbLPVkqphVvpjUAz0us5uhtVkFEUhoPoxKvKrH+DBmr+f0bgmVxezE3L5esV7+E3dvxj2u3h33vlckyMzAk8ny+bgz2uup2qgmwyrnSyrnG4rhBBCiJlN3mkLIYTQhN/vZveeH5x5gQ0oLb2V/QceZPw+Y4pipmz0sIR4paoqXr+2hxR4/MNUdW1hftaFmsbVI1/AT7/PecbjLQYj1+eu5PrclRHMauZ4puEo/2ypJcVs5b1F5bzaVs/RgW5WpuVyT9ky7EZ5+ymEEEKImUne5QghhDhnBw7+lNrapwlMull/MKPRypw5t1FU9C72H/hxUJ/NlkFiQmEk0tQNRVFwmFPpc2s7m83jH9Y0nl6ZDEbWppezpbvqtGMvylhAWWIer3cc5KmmLVgMJj5cdBEr0+ZMQ6b680rbcR6q2jl2vbO7lcBoEb1uqA9XwMd/zF8z2e1CCCGEELomRTYhhBDnpL7hJWpq/nLG47Oz17J2zQMoiom+vmrS0hYG7dmWn39JBLLUF6d3QPMCm92UzLxM2XfQp/o51N/Ax4qvwKKYeLPrcMgYAwrX5a7ggvR5+Anw67qX+UP9G2P923qqSTLZWZFayr1lN5JpTZ7G/4LYtrmzKeg6MOH81rcn9AshhBBCzCRSZBNCxD1nTw2NW76Ps6uShJwVFF1wP5YE2Xz7TFVVPfqOxre3b+GFF6/H73fj9wcv2bNY0qgov1vD7PSpquttzWPesewhrKbJN52PB+3uPj6z739pdI4cyHFJ5sKw4wKovNS2lw2te/ATft/AAZ+TNzsP4/b7eHjJRyKVsu6kmsMdZnJKsSNlmjIRQgghhJh+hmgnIIQQ0daw6Vs4u44AKkNtu2ja9qNop6Qrw2dwQuNEHk9vSIFtpL2HXbu+rUFW+uYwa1uISLZmMSt1saYx9ejPDW+NFdgA3ugMPfX2JI/qn7TANt7WntMvOY0H/V43N296jicbTp2Ia1YMXJs3m7TRwlu+PZEvVci+dkIIIYSYuWQmmxAirgW8Tly9x4LahjsPRikbfUpPX0hHxw7N4nV27dEsll7NSV9NccpSTvTt0yTegLubruFGMhzxvdddh7s/InH39x1nSUpJRGLrxXcObqbdHbzn3yfnLOUDxQvwBvy0u4fJsyViUJSx/n6vm1faTqCqKlfklpBitk532kKcMbc/wBN1fRztd7Mi3c67i5Mxjns9CyGEECAz2YQQcc5gtmNLLw9qS8haGqVs9Gnp0n/H4cjTLJ7f76Sr+4Bm8fSqZVC7GVIqfp48eL9m8fTqquzI/N2uGdJ2/zw9qhnqDWlrcg4CYDYYKbAnhRTYPrJ9Aw8e3cFDVTu5a9sG+rxndnCKENHw3wc6+F11D5vahvnpkS7+t6o72ikJIYSIQVJkE0LEvVnr/xNH9lIUo5WkgnUUnP/v0U5JV5ISZ3HVu/7KwoWfP6v7zaakkLbGhhfPNS1dO9GzF0+Y5bTnorH/EF5/fBcxLslaxLU5yzWNqaDwrggV7/RkRWp2SNu1ebMnHf9K2wnaXKdmvrW5h3m59XgkUhPinLn9Ad5oGQpqe7lpMErZCCGEiGWyXFQIEfdsKcWUXfWbaKehe4GzLAp5fQMhbVZrxrmmo2tpjnzNY9pMSZiNshzv0ECjpvFuzV9DosmuaUw9+lLFKtrdTvb1tmMzmvj47CUsSMl8RzGanaE/C4SIBSaDQrLFQK/n1D6N6VZjFDMSQggRq2QmmxBCiHM2PNyG2ZKqWTybPXRWTDxJteViVLR9DhYI+PEHfJrG1KMEjQuNG9p241P9msbUo2SzlV+svJJNl3+IVy55P++fNX/K8VfkFGNWgt+Gbu5simSKQpw1o6Lw6XkZmEZXPNuNCvdUxPfDICGEEOHJTDYhhJhCwOeip/YFPEOtpMy6FEfGvGinFHPq6zewe8/3UMMUGgwGO4HAO5/hNtBfo0VqunbBrA/y1ok/ahbPExhmT8sGziu4UbOYenRhxjwOazibbcjvZsDrJM2SqFnMeJBstmIxGPD6T80ManIO4gsEMBnkGbCIPVcVJHFehp1jAx7mp1pJMstMNiGEEKGkyCaEEFM4/vq9DLbuBKDj0J8pvewhkvLPj3JWsUNVVQ4e+mnYAhtwVgU2gMzMVeeS1owwK3UJnNA2ZutgtbYBdei55u2axit1ZEuB7SytzSzglbZTL/JV6blSYBMxLcNmIsMmH5+EEEJMTn5LCCHEBM6eGgxGC2rAN1ZgA0D103n0KSmyjaOqfjwe7fdRSkmZo3lMvWnp1+500ZPmZqzRPKbe9Pu0PVDiksyFmsabSZ5uOMr/1R3AE/Dz3qIKPjFnWVD/vRWrsRtN7O1pZ35KBp8rWxGlTIUQQgghtCFFNiGEGBXwuah77d8YatsNQFLh+pAxBoNlutOKaQaDiaKiq6mvf/6MxiuKAVUNTDkmP+8yHI5cLdLTLV/Ay+t1v9M0ZpajlIrMCzSNqTfegA8FRdOYi5JnaRpP715pO85vavbR63Ux7D+1B+Afjh/imcYqrAYTHy5ZyHuLKkgyW/jq/JHCr9vv48RwPwkmM1ajvD0VQgghhD7JnHwhhBjVfez5sQIbwEDjJhJyTs2sUIxWshZ8MBqpxbQ5s9+P1Zp+2nEWSyqziq6bcszixf/GqlX/qVVqutXQd4AA2m6m3zFcR33vfk1j6s2rHQdwBjxnfX+6KXRZaLOr+1xSmlFanYN899DbNLsGgwpsJw36vHR5nPykaicHejuoH+5nwOthZ3crN216jru2v8C7Nz3H7p62KGQvhBBCCHHu5FGhEEKM8g61hrSlllxB1sLb8Q62kFiwDt9wB237f4c9rZykwvUoirazYvRGVVW2bL0Xt/v0hYbyuXfi8w1NOebYsScoKnwXVmuaVinqUoo1JyJxdzU/P7LXW5xqdfWe9b1XZi0hoKq82nkgqP3ntS9wZfZSUsyOc01P9w72deJX1TMa+40DG+n0OLEYjCQYzQz4Roqf/T4PDx3dwZ/XXB/JVIUQQgghIkJmsgkhxKiUWZeBcurHosFkJ7lwPSZbOl3Vz3H0uZs59tInaNv3W46/8RVadv8sitnGBre7G5frzGad1NY9R3LKXEymyYsRw8NNvPzye+jvP6ZVirqU7ihgbeH7NI9bmBzfonXVzgAAIABJREFU+4ddlLkAk3J2JwK+2nEgpMAG4A74eLv76LmmNiPMT8nAMGE5bqLJjMNoDhnb6RnZG88T8NPjdQX1NTsHI5ekEEIIIUQESZFNCCFGOTIXUHrZQyTkrMSRuYiCNf9Bf9MWjr9+L66empDxXZVPE/C5wkSKH1ZrGiZjwhmNHR6uZ/v2+/D5hqcc5/MPUV3zFy3S0zWHJVXzmCm2yMyQ04vZCTk8vPhOkoy2d3xvgMlnaGWY5XRRgAJ7Ev+xYA0ZFjtWg5FbCyvYcNGt/OuS9/Gx2UtINJlJMlkotCdNGeeS7KJpylgIIYQQQluyXFQIIcZxDzSO7sumMrzp4NSDFWXkK44pioHyirs5fFjbWX3+OC9eAtT37tM8ZoajQPOYelM50MyAX7vX10UZC1iVVqZZPL27Nm821+bNZtjnxWE6NYPtrtLF3FW6GBg5dfThqlMnN2dZ7FyWU8zh/k4Wp2Rx9+z4XdIsRLzaUu1j/wkfiTaFyxaayUuTuSBCCH2SIpsQQoxSAz5a9/wappixMl7mvPdjMFojm1SM8/mc1NT8UfO4paW3aB5TT3wBD9Xd27SP6/dqHlNvXhh3uIkW1mVUxP3ejONVD/TwnUObqRvqozwpjW8vXE9xQnLQmPcUluNTA7zadgKH0YyqqlQOdHFjwVyuzZsdpcyFENGyp87Hi3tP/n5Saexy86XrbFhM8rNVCKE/8ohACCFGNe14kID3zPYCyl3+afJWfDrCGcW+7u79eDx9msdNTCzWPKaeHO/ZG5m4vXsiElcvtnZXUTvcrmnMl9si8/9Kr35wZAt1QyM/E6oGevhh5daQMYqicNus+Ty07DIqB7rY1dvGvt4Ovn94Cxs7GqY7ZSFElFU2B5+mPeyBhq5AlLIRQohzI0U2IYQAOiufpLvquUn7zQk52DMWYkubS+Har5O96I5pzC52JSbOikBUA1ar9vuR6YlBCd0oXgtHOt6KSFy9eCkCBbFsa4rmMfUqoKpUDfQEtR3tn/zk4V09rQz6gmdXvtXRGJHchBCxKzM5+COpAmQkyiw2IYQ+yXJRIUTc83sG6Kr+26T9GRW3krvskxgtU2/WHY8cjjwyM86js2vn6QefocLCqzAYIlNk0oum/tPsB3iW8pPnRSSuXqRr/HfYrpi5u/gyTWPqmUFRWJ6aw57eUycOr0zPBcCvBtjZ3UpAVVmVnofJYAh7AMK/Wo9zdKCbL5afx4q0+D6oQ4h4sb7CRH1ngPrOACYDXLbIRGqCzAURQuiTFNlERKlDwwSOHgerBUNFCYpJXnIitnTXPE/T9gdQ/e6w/UZbuhTYTiM1rULTIltLy5uoqh9FMWoWU2/S7PkRiGpgXdH7IhBXPz5QeAGvdRyg1d2rSTxVVSlyZGoSa6b45sK1PHh0B4f6OilNSKHQnsjfm6p5tO4gbe6Rk4XnJKby65XvYk5iKmsz8tna1Ty2E6ZXDXBssJev7X+Lv66/GZtR3jcIMdPZLQofvdRK71AAm0XBZpZZbEII/ZJ3LiJi1N5+PH/8KzhHihfKrizMt9+IYpAnUyI2+L3DNO94aJICmwEI4Hd1U73hbuZe+38YLYnTnaIu5OZeSE3NXzSL5/cP43J1YbdnaxZTb+ZnXRyBqAGspoQIxNWPTGsy5Ql5mhXZXPg0iTOT5NgS+NHSS3il9TjfPrSZPb2he+AdG+zl59W7cQV8bOlqDhtnwOehbqiP+ckZkU5ZCKGBgKqyu87PiY4A+ekGVs8xYjS8s2KZzF4TQswEUmQTEePfe2SswAagtnQQqGvCOKcoilmJeKcGfHRV/xVn11FsqbMJ+IaD+i3Js8gou4mW3T8ba/MMNNB7/GXSy26is/IJBlu2Y0srJ3vRnRgt8V20AKire1rTeAaDBZstS9OYemM0mDApVnxq+BmWZ+tY907mZa3XNKaeNDi7eKv7iKYxawdbmZ2Yq2nMmeCJhsopz2n+W3PNlPcnGM0UO5KnHCOEiB2vHvSxqXLkwcP+ej/tfQFuOs8S5ayEEGL6SZFNRE4gzNvrgJwUdKYCLUfxvf5r1N5mDHPWYrrsHhSzLdpp6V7jlh/QU7th7Npky8Dn6hq79rt6gwpsJwV8blr3/oaOQ38EYKB5K67eY5Re9mDkk45x7e3bNY2Xn3cxiiJLRYwGM75JljGfLYclvjfp9wS8px/0Dr3VdUSKbOO83FrHE/WV1A/3v+N7jYqCqkKePYF/q1iFwxTfezNO5s22DnZ191CenMTVeTmYZIWAiAF76oJn9u477uf6Feo7ns0mhBB6J7+VRcQYls4Dy6k3yEpGKobZhVHMSD9Uvxfv37+H2lYN7iECh1/Bv0W75XjxKuBz0VP3UnCjwUjanBuwpZUBCn5P6AdDozWN1NJ30Xv85aD2gabN+D2DEcxYHxyOAs1imc1JVFTcpVk8vep3deD2a//aspnie8nznIRcVqbO1jTm7t5aTePp2b7edr5z6G0qB7oZ9gd/4D7dx2wFKE9KY05iKpdkz5JDDybx2PF6vrH/EM81NvPDw0d5sLI62ikJAYDDEvy33GYBqa8JIeKRFNlExBgyUrHcdQvGi87DdOU6zB++CcUYvxuZvxNqTzMM9wS1BRojc9pgPFEMJgwme1CbyZpK0bqvY07IgwmLmxSjlZyln2DudX/AbM/A7AjeI8xoTcFgktmFc8s+oFksr3eAzW9/AVWN71mvr9X9LiJxFfm1z48X3UGuJVWzeEMazzbUs61h9le7KLOQh5Zdyt/X38IDSy/h96uuIdl0aglZssnC/QvWMjcxjSP93VQP9vCXE4f5Vc3e6UxdN/7aEPw9frG5FbffH6VshDjliiVmjKO/YhTgyiVmmZUuhIhL8m5bRJSSmoxp7XKMKxaiWGVfhjOlpOaBLfg0SyW3PErZzByKwUTusk+EvfYNd4SMtyTNIm3OtVgSRopreSs+i9GSPHqvmfzzvohikFX3J+r/rmk8l6uDI0ce0TSm3pgMkVkm90bd/0Ukrp4807yVVo82Bx8ArE2Xn80nlSSELke+paic8zPySbfaWZdZQEVyOr9ffQ13lizkPYXl3JBfRrfHTdVg8IOlTZ2N05V2TNvU3sm9u/fzjX0Hqezrx24KflhpNRowSiFDxIB5+Ua+dK2N96+18MVrrSwvkfdHQoj4JD/9hIhBismC+dr78L76C+hrxTB7NaZ1H452WjNC5rz3kZi3Gmd3FYk5y8ZmpxksSSFj3b3VVD53CzmL7yZn6cdIyF7C/Fv+xnB3JbaUEky2tOlOPyYNDYU/HfBcNDW/xoIF92geVy8uK/04Wxqe1DyuyzegeUy9eaLxbc1iLUqaxfsLLtAsnt5dnl3M9q4WXm49jqLALYXlrErPCxmXZ0/kipwSPrHzJZz+8Ce0zpJDD9jX08vX9h0cm2O9vauHL1SU8cCRKvzqSOtHSktkTzYRM5LsCgsKZdWKECK+SZFNiBhlKF6G9e7fogb8KAZ5w6IlW0oJtpQSAJw91TRt+xHDnYfDD1YDtB34PWllN2JJyMZgtpOYs3z6ktUBh6OA4WFtC21+v0vTeHrjsESmwLAs75qIxNWTHg33UTw4UM+n9/2W36/4NGaZ1UqTc4AW1yAWg4FladncWbIIgH6vmx8e2ca27hbSzDZuLJhDi3No0gJbqtnK5+aumM7UY9IbbR1Bmxg4/X4MisJjF6xmT3cvFclJlCXF9z6LQsx0akClbpeP9mN+bEkKc843k5QphXUhYpm8IxQixkmBLXJUVeXEm1/DM9BwmoEBfMPtY8tGRbD+/hrNY2ZkSCEzEgzIaY1hzr0+JzVDrbzdXcXFmQs0jqw/9x/cTM3oss+tXS18bMeLXJRVyJvtDbS5hwFw+gf59bF9U+5Xcn3+nLBLT+NNnj10z888u418u538AnuYO4QQM039fh/Hd408kBjuVRnscrPuQzYMRlkmLkSskjK4iCrV5UYdckY7DRGnfM6u0AKbYgCCC5uWpCLsGfOnLzGd8Xq1X4JYUf4RzWPqSXXX1ojEPdKxMSJx9WReUr7mMeP9oA6AIZ93rMB2UqtriCcbjo4V2Mab7DtmVBQuyy6OQIb6c31BHktTTxUbr8vPZVmadod2CCFiX1d98E9LzzAMdmr9uEgIoSWZySaixvf6Nvw7D0IggGH+HEzXXYJilLqvmD4DbXtQjFbUcacDJhWsw9l5CJ9r5MOiOSGH2Vf+XGYUTkHrAoPJlERycqmmMfWmtntXROKmOXIiEldPPlZ8Of928A+azWgrdWSzLmOeRtH0K8FkpsSRzPHh/rOOkWK28O2F66lITtcwM/1ymEz8fNVy6gaHsBkN5Nll9poQ8SYxXaF33I4cBiPYU2QWmxCxTCoaIioCDS34t++HwMiH88CRYwQOVUc5KxEv1ICPYy99isZN3wwqsJkT8vAMNI8V2AC8Q214h9oYaNlO1fO3c+jJq2ja8RBqIPxeQvGmv7+WyeeknB2HIwdVje+ntAXJkSnaJFvje8mzqqo8UPN3zQpsudZUHln2SSyyHxsA31p0AVmWsy8E2QwmVmeEHpQQ70oTE6TAJkScKllpJiV35CO7yQIVF5ox26TIJkQsi2qRTVGUQkVR/kdRlE2KogwqiqIqinLJJGM/qCjKPkVRXIqiNCqK8t+KooRsVqEoSo6iKH9QFKVTUZQhRVE2KoqyTs8xZyK1qze0rbMnzEghtOVz9VL5t/cx1L4npM871IK7rzbMPd2ceOOruHpq8Lv76Kp8ko4jj09HujGvp2eSAyPOQX9/Da1tmzSPqycLsy8jJ2GO5nEXZV+qeUw9cQe8NLu0+13T6u5lV1+dZvH0rjwpnXWZBZP2J5mm3hOwVPZhE0KIIBa7wsp3W7ngwzYuuMNG3jx5qCNErIv2TLYy4APAIPDqZIMURbkd+AuwGbgG+AHwGeDRCeNso3EuBj4H3AwMAK8qirJ8wlhdxJypDCUFMOHIecOcoihlI+JJ+6E/4R0885MwrcnFGEwOAr7gPYWG2kKLdPHI5wvda0kL3V0HIhJXLxRFoct5mgM5zkKPs03zmHrS4OzSPOaxoVbNY+rZtu6WSftcAX/Q9fi5GAYUPiMnigohRFjWBAWjSWawCaEH0S6Fv6WqajaAoijvBm6cOEBRFCPwAPB3VVU/Pdr8uqIoXuARRVEeVlV122j73cBCYKWqqrtH738TOMJIwesaPcWcyZTUZMzveRe+LXvB58O4YiGG4smffguhFU//mRcukvLXkbPsEwy172Pk4+CpRWZyEMKIjIxlEYlbUHBFROLqiS/g0Txm62AV+clzNY+rFz2eQc1jLk2WTfrHK0lIodU1FLbPGwheWm41GLkip4Qhn5dVGbkUOpKmI8UZo93lwhtQKXDIUlIhhBAiVkR1Jpt6ZrtlrwFygT9MaP8L4AXeM67tZuDAycLV6L/DDTwOXKkoysl3b3qJOaMZZhdh+dANWO68GePi8minI+KFcuZPAZ3dR6nZ8BFadj7M+AKbYrTSeeT/0bLrZ3G/d5jdnqV5zISEYlJT5WdCJJSmxfdMoeWppRjQdibA944+o2k8vfv83JVkWx1nNLYkIYV5yels7GzkR5XbuXXzX6kZkK0jTkdVVX54+Ci3btzKbZu38ZXd+3H7/ae/UQghhBARF+3lomdi0eifB8c3qqo6DBwb139ybNC4UfsBIzB/3Dg9xByjKEqqoigl47+AwjAxhBCT8Ay109+4MUxP+A/dPlf4pWWq303AO0TH4b/QW/uChhnqj8Ew9R5LZ8PrHdA8pt44vWd/QuNUjna+HZG4evFm52ECmh17MKLV3UuvN/zMrXhUnJDMsxe8m6/NP5/zUnPIsyWEHZdmsfKZsuX8rHo3vtFnrl0eF5/f8wqNw/IzYCq7unt4vqll7JW8taubF1vieym4EEIIESv0UGTLGP2zO0xf97j+k2MnGzc+ll5ijvdFoG7CV7hqgRBiEr7hdpgwgdaaUgrn8KF7qGP/OWalbyZT+A/Q58Lj6Y7YXm96UdW5JSJxa7q3RySuXuzrOxGRuO3uvojE1StFUViWlsOh/k5awiwdVYBfrLiSH1Vuxz1hn7Y+r4fvHNo8TZnqU5PTFdLWOOyMQiZCCCGEmEgPRbaTJvsUPLF9qk/LZzo21mIC/AQonfB14RQxhBAT2DPmY0kKngCaXn4LtrSKs47pyFp8rmnpWldXZIqM7e1xXgxqfTEicXMSZkckrl6cn1oWkbjNw7LEcaKXW4/jDIRfwphoMvOLmj00OMPPWDvc3yXLH6eQag6dQbwkNTkKmQgRqrErwB/fcvOrl128XeWLdjpCCDHt9FBkO7leK9zsrnSCZ4R1TTGOcWP1EnOMqqq9qqoeH/8FNIaJIYSYhGIwkrXwjqC29v2/w5pScrYRSZl12TnnpWctLW9EJG5ff21E4upFn7sjInEb+w9FJK5eVA41RSSuR/VGJK7e9Hhc+EYPN3AYJ19KPuDzsqVz8lOeE00WLAY9vEWNju1doYshnms481OzxbnzBVR6PVIInsjlVfnTRjfH2gK09qm8tM/L3uNSaBNCxBc9vIM5+Ylg/J5mKIriAOYQvLfZoYnjRi0G/EClzmIKITTWVflk0LXf3Uvf8ZfOKpbRmozBaNEiLd2K1LLOSBXv9CLFmh2RuK443+9uVeqciMRdnBLfJ4x2up18cudLXL/xGW7a9Cwvtxxna9fURZ+p9sYb9HnY3BmZgqheNTudvNXeQY/HgzlMAbJhOL6X2E+n11sGueW1E9z06gk+t7WZHrcU206q7wzgmvDMoarlTM65E0KImUMPRbatQCvw4QntHwDMwLPj2p4DFiuKsuxkg6IoltGxr6iqenInab3EFEJoqPfEa7h6a7QJphjIW/FZFINRm3g6lZGx7PSDzoKixPf3dWF2ZGZImoy2iMTVi6WppVgUk+Zx7XFebH/k2F4O9nUC0Ot1893Dm9ne3XJOMeuGZJ+7k/7a0MQHNm3j6/sOcevGrSxMScY44byeZWmp0Ukuzgz7AvzwQAd93pHC0f4eF7+vDrfNcnzKTFJCjpLKStb2RGchhIh1US+yKYpyq6IotwJrR5suHm27BkBVVR/wVeDdiqL8XFGUSxRF+RTwMPC0qqpbx4X7HXAEeFZRlPcrinIlI8WtfODrJwfpJaYQQlsDjZs0i6UYrTiyl2sWT68KCi6NSNy01IURiasXdmNiROL2ueL7BEKX34tf1X5WRapZ+wNA9KRmsDfo+lzPb1WA8zPyzjHKzOALBPhldS0nX7WeQIAn6xt5aPlSsqwjxd3VGWl8ujz8LE1V1fY03XjXMuzF6Q/+ntYMeKKUTexJTzRw5RIT5tHnZHNyDKwt1/7BhhBCxLJY+Kn31ITrb4/+eQIoAVBV9Q+KoviB+4CPA53Ar4Fvjb9RVVWXoiiXAQ8AvwJswG7gSlVVd00Yq4uYQgjtmBJyNIul+pzU/PMOym/4M5bEfM3i6o0xQjOj2jvi++CDQx1vRiSuISZ+7UfPhrbd+NG+yPZ2VyXrMuZpHlcvVqfncXRAu9k8d5Uupjwp/fQD48DxoSGcEw6B6HA6WZGRxrMXrcMXCGAKs3z0qfpGHq09jjegcuusAj5RFt+HnmilONFCls1Ih+vU/5PzMx1RzCj2XFBh5rzZJtw+SLbLLDYhRPyJ+rttVVXP6Kevqqp/Bv58BuPCLdnUdUwhhDaMJrum8QK+YTornyT/vC9qGldP2tq2RCRuvC9r7Bg+HpG48f5xp344MgdKPNm4Ja6LbO+bVcEzjVUM+8/9AAibwcSdJeG2rY1PO7pCT67t9fnZ1d3DyvS0sAW2I339/PToqa0R/lRXT0VSEhfnZEU013hgMij8x+Isfn6kiwFvgMvzE7l9jizVnchqVrBOfvaJEELMaFFfLiqEENMl4HNrHnOobZ/mMfWkf+BEROImp8yNSFy9GPKEfrDWgqrE9wbUtilOvDwXy1JLIhJXLzZ1NGlSYDMpBr62YE3YwlG8yrJaQ9r8qsr3Dh6Z9J5DfaFb+4ZrE+/c7i4nX93VRu2glw63nwSTAZMh3h9fCCGEGE/exQgh4oY9c77mMdUI7O+kJznZ50ckboIjNyJx9SI3KTJFRoshvvcO6/e6IhL39qKLIhJXL7Ta586nBjRddjoTXJKTxeqMtJD2TreHTlf4B0dLUlNC2pamhbaJd+7/qnvwBE7tyfanY70M++L7fYAQQohgUmQTQsSN/qa3NY9pi/MZLAZDZHYdGBxqikhcvViZf0NE4va74/vgg/IIFG9LHdmY4vyU4dIE7Qo4b7U34AtI0eIkk8HA/YsWkGgKfY0dnGR2WllSIkWOU9sj2I0GyhIjc5hKvBmcUFDzBtSgopsQQgghRTYhRFzwe4fpqXpO87jpcyJTDNELu127wyTGa2vT7iRYPRr29EUkbrwfNDioan8KYJdnQPOYepNksmgWq8E5wH3739Asnt4dGxjkts3bGPQFH36gAPl2KzUDgwTG/cXu83j53bE6GoadY21Of4DnGpunK+UZ7caipKDrC3McpFriu8guhBAiWNQPPhBCvHOBE3sJtNdgKFqMIbci2unogs/VA2hdYTCQkLNM45j60tm5OyJxfb5z399Jz2p7dkYkrk/Vfl9CPakZ1L7Q4An4NI+pN39trtY03tauFg73dbIgJVPTuHr0+IkGBn3Br7Fks4nzM9K5Z/sevKpKocPOgyuW0OPx8qVd+0JOIwVwhWkT79zNxSlk2kxs7RimNNHCDROKbkIIIYQU2YTQGd/bf8K/7QkA/IDp/7d35/F11XX+x1+fu2RPmqVrkq6U7oWWpYVKAREcKLIj4DIKjLiNjsuo4DYg44I4KKMy+gMX1GEcFQVBQVCHpSD7VqC20I1SWtqmaZpmz733+/vj3LRZ26Q5Jzfn3vfz8cjjJuee+8mnh8vNOZ/z/X6+p/0L0QVvz2xSIZBfWgMWAV97qKXY8vh1TF72JR9jhsuLL/1nIHHNcruR9Nqd/k9tBijNz+2ixda2Bt9jFkb9G8UVVm+2NvsesyOlohBAc6JvEfeaBfO46oUX6UyPYNvS0spP12+iobOz3wJbXiTCO2omBZ5rtrj/jb3c9fpeSmIR3ntYOQsqeq52vXxCMcsn5HZ/ywN5bmOCZzcmKcyDk+bFqanUxCkRyS361BMJEZfsJPnMnT22Jf7vh3TeewOuQVNBDiqAuXJN25/xPWaY5OeNCyRuri8o0Z7yv2gB0Ni+I5C4YdGR8n+E5O7OZp5t2OB73DBZWO7v50BZLI8jysf7GjOszqmtpvsth7llpVTkxfv0Adva2kZTZ9+C3Dk1k/jR0qOZWaqebIPxxM4WvrZqJy/ubuOxnS185qlt7G7fX7hMOccvNzTwsce3cv2LO9nZppGs3f39jSR3Pt3J5l0p1m5L8bOH2mntyPE+BSKSc1RkExnlXDJBattaXPPu9IZeJyvJDlJrHqDjt18i1dFK8uW/knjqdlzDtpFPdhRrrX8F/6eLQq4PCJ4wYUkgcaPR/EDihkXM4oHETbncHh1UGis8+E6HYGvb7kDihsUFtbM5usK//oyNiQ6e2KUbRwDHja3i+8cs4vzJNXz48Bl8+6gjmVFawpSinu/lk8aP7TNa7ZjKCj4zbzbTSzTqarAe2d7zBkdr0vH0rv397W5b38AP19bz4u42/rhlL59/5s2RTnFUW/NGz78x7QnYuCO3b5r5rX5Lkufubue5P7SzZ7uOrcholNtXhyKjXOKJX5F84n8h2QkWIXriPxFdfBbJp3/bd+fGHSR+fSVupzeiIvn4L4lf9E0iE2aOcNajU3Pdy4HETbb7P/0sTCZOXM7Lq7/ne9xEovXgO2WxuBXT6dp8j5vK8RGCs0qqebphve9xJ+WX+x4zTIpjcb696BTOfeR37O70p+/fD9Y/z/Fja3yJFXZHVJRzREXP99gNRx3JTzds4o2WVk6aMI4LJ9dgZoyJx3lkZx2Ti4o4b3J1hjIOr9rivjc4aov2Xy491KsI92pjB1tbOqkuCubGSNhUlvZt9VDVzzY5NI07kzz/h/0L+DzzRjtLL8qnuELjZkRGE/0fKTJKJV95hOTffuEV2ABciuTKnxI99kKIF/R9gUX2FdgASLSTePx/RibZEKiYelogcVOdwUzrC4u6XcEsfAC5vfCBRYOZXuPI7ZFss4qD6UuV6yPZAG585WnfCmwAG5oaSKRyuyh8IBMLC/j8/Dl8/9jFvHNK7b4+lieMH8tV8+fwnulTKIrpXvpQnT25jGOqvFGCUYNLpo9hbvn+c67qwp7FtMKoaXXRbpbOjDFtnHd5GTE4cW6MCWN0uemXzc/3mp7sYOPTuX2+JOGV2t1G+89eou1rj9H+s5dI7fb/5nKm6K+vyCiVWtdP4/NUwps2Gul7Qhc54gxSL/yxxza34Unaf3w5seWXE511QlCphkI0vwQw/J4yatHcvnu9efN9mU4hK7V07sl0Clnp+T0bA4k7v2xyIHHD5J5t/valMyAW0cX5QNbtbeKerW9SGI1wbm0N4wr2T7F/de9ebnl1I/UdHbyjZhLnTtaIwMEqjEW4YckktrV0UhCNUJHf83zrA7MqWNvYzputCfIixsfnVlEU0/u0S0HcuOzkfOqbUuTHjeJ8r/jb3O547JUEe1ocC6dEmTVJhclD0d+iUAG0GxYZEZ13rcNtbgTAbW6k86515L9/QYaz8oeKbCKjVX/Fm3gRVNQSPeYCko/+fP+ux7+X2HGX0L5zA2z9e8/XNO4g8cfrcI2XEzvm/ICTHt2ihVUkW+t8jVk58xxf44VNR8euTKeQleKRAjoCWPzAyO0Lm61t9YHEXd/0JjOK/etJFjav7K2n3efVQA1NMRvIhqYmPvTks3SkR/r9dvMb3LZsCVUF+bze3MIVTzxLMn3lvXbNq6zcWccX5s+hKj9LV6bJAAAgAElEQVS3e10OxaT09M+G9iRP1bVQXRRnfkUBU0ry+J+TJrNhbwcTC2OUxnP7M3UglSX7C48p57j1wXZ2NHrvyVWbk1x8fB7zanXshmr6sVG2r0/2uF88dbEu5yWc3Ja9B/w5zHTrRWSUsup5fTd2tpD4zVXEllxE/IKvEl32j8Tf+Q0ix5xP5x+vg21rYYALk+Sqe4JNOASSrf5fYCdad/oeM1x0IRyE4rwxgcTNiwTT+D8sXtq7JZC4z+T46qIbm/wfeTmluMz3mGH0RN0uPvTEM1z22FP84Q1vQaM/bd2+r8AG0JxM8ulnVwHw1+079hXYujy5azcXrXycF3bndg/Rofp7QxuXPLSZr67ayUcf38p3V3s36aJmHF6WrwLbIG3d7fYV2Lo8t0mrsh6KojFRjj43n8raCOU1xqJ35FE2Tu9DCSerLT3gz2GmIpvIKBU9fBnk9b0gdltXk3zteSJTFhFbejGkknTe/D5SrzwCLsVA0yGtn1i5JJVoA/zv77Nn84O+xwyT8vLZmU4hK3V0tgQStzOVPf0uDkVBJJg7/suq5gQSNyyOqpxAXj9tDA5VfiTKtQtyu8UBwJrGRj773IusbtzLuqZmvrl6LU/uqqc41vdYb2hu5qHtOymP99/CoMM5frbhtaBTzir/vb6B1uT+c6o7Xmukrk3FoaEqyuu7rWsaqQzdmAkRFr0jn6POKqBSowElxOJnz8SmlEHEsCllxM/OnsX6VGQTGa0S7Qw0Sijx+6/Q/pMrSPztNjrvvQHamw4azqYs9jnBcHGpoE6Mc7sZRmfnwd97MnTtyWBWV02R2xeIp4xdGEjcJeUzAokbFuPyi/iPI09mYVnVsMe2ziut4g/LL2BGSW6v2Arw/bXr+/yFWbmjjrNrq8nvp1/dl1e9TDwSYfwA00J3d3b0u13615zoeWMuBbQmtRjHUFWWRFg6c38xqCQfTpijKY4iuS5SUUD++xdQ8MXjyX//AiIV/SzsF1IqsomMUsk1D0HHAKNZkp2wZxvJJ34JLYNb1S716qM+Zhc+0bySgCLn9sdoU0DT73KdLuOCkRfQSLbfbXsykLhhkXKOlXVbWLN397BvO5TG8yiK5faCMl32dvZdNbA8L05FXh7fWryQeK8m6A64c8tWfr38OE6bOL7PaycWZM8FzEg4e0rPKcuLKwuYXNzPsCw5qBWL8/jIafm8+y15fGJFAWNLc/vcScIjVZ+i7eZ2Wr7UStvN7aTqdYYmB6dPOJHRKjbYBsWDHDfQktu9WIIbyZbbf2xbWt/IdApZqaJgUqZTyEqrGoOZLhdU8S4s7n9zI795fS2dbvifh6sbd/G3On2uAJw0YVyPn/MixlHl5SRSKRZXVvCL45f0OZGPmRE14y3jxvaJt6A8mF6P2eTVxnaueHQLb713A/du2cvVi8ZzzpQyPjqnkq8fPTHT6YXaxPIIs6uj5MU0VVTCo+P2TlKbUpCC1KYUHbf3vfkh0puKbCKjVGT6sYPcc3DjBiLzTz30ZLJA2x71ogmGvysKiqe8oO8oFBm+4mgwqytOzM/tqY2rG/1bZXhvooPPvvAgK3e+7lvMsPrH6VO5eEot4/PzqCksIOXgX559gYseeZwNTU3UFBdy3uSafftHDd49bQoAy8ePZVbp/hHckwoKWFGtItGBOOe49vkdvNLYQQp4sq6VB99s5tPzx3Lx9HKKYrpsEsk1qc2pA/4s0p/cvvUqMopFxkyAylqoP8B0vIJSaDvAcsdl44mMm4FNPoLokWf6n2SIeAsfiN8ikSJSqWCa9OeybY1rM51CVqoprIQgBvXm+MCM2aWVvse88ZVnWD5usu9xwyQeifCx2TO5/LBpnPvw30ikVw3d2d7BLes28o1FC/nE7JkcP7aKjc3NLK2qZFJhAde9vIaHduzEOciLRJhWVMQ1R8yjIk9THQ+ksTPF5uaeo1RW79a5w3ClnOOvLyV4fmOConzjtCPizJqkhv0SDpEpEW8kW7efRQ5G7xKRUcq5FJFZB1hdLZZ/4AJbNI/I/H8gsuAMokeeifm48lsYdTRvz3QKWSkW0/SjILSk9mQ6hay0PqDPgbjl9ufrvLIq32Nub2umKaFG/VtbW7nj9a19Gu5va/WKP2bG0rGVXDJ1MsWxKFevWs0ft75JUyJJczJJRyrFK01N/OfadZlIP1TG5EWZWtyzH+DEIo1HGK5nNiR5ZE2CpnbY0ej41d86aGrL7UWjJDzyLowTmRaBCESmRci7UD1D5eD0l0NkFErVbSJx99dwDdsG3inRfuAgyQ5Sj/0i3THMiL3j80QPX+ZjluGyd9vjmU4hK3V01Gc6BZFBK4gEM5JncmHf/le55Mn6rb7HjEeixCy37wU/urOOL77wMknXtyBxSq+FDR7esZOrV63eN9qtt+d253Zf1sE6c3Ip/7Vm/9+11Q3tbGvpZFKRLqwP1aadPQvEiRRsqU8xpzq3b05IOEQqIxR8MJhWE5K9cvvsRTIiVb+H5JoNuCZNMRtI4sGbD1xgGzJH4t5v+RgvfCJ5ud0zKTgHKfbKKJPbf/ZbU8G8X3e05/bIwzu2vOp7zPdNm09BNLfvBd+64bUeBbYIsKhiDB+fdRjvTfde63LLuo0DFtgA5pSVBpVmVtnSa7po0sEL9ZoyOhzVFT3n00cMJpXn+Bx7EclquX32IiMu+czLJP7yN++HSIT4BW8nMiO3e670xx2oD9uhSnaSSnYSiebm3diCUq3WKGFiDHZRk6HJ7Ya9nQGtMrx271YWlU8PJHYYbG9t9i3WlMJS/vnwxZyQ4/3YAFqTPReWMYNvHLmQknjf0/fGzr7v7ZgZCeeYU1bKlfNmB5ZnNjm8LB/Y22ubNwJ2V1uCb760k+d2tXF4WR6fWzCOaaXqc3cwS2fG2LHHsWpzksI8ePsRccYU5fYNHxHJbvqEkxHjkkkSDz25f0MqRee9D+Pa1XOlt8GvLDoEsfycLbABJNsbM51CVopE1JMtGOpXE4Q9idZA4h5VkbsFNvC3dLu5dS+fX/Uw/7v57z5GDafzu60cCnDaxAl9Cmy/3byFjzz5LGW9tq+onsgDp57EX992IrcsPZopxUWB55sNVtSWsqK2lKhBUdT46JxKDivzpop9Z3UdT+xspSPleLmhnWufV6/XwYhFjfOW5PGl8wv4zFkFLJqmMR4ikt30KScjJ5mC3ndam1rouOk24u88nchkjTTqYjXz4aX78fNCO3bWF3yLFUaVs85l+/M/yHQaWUcri0qYJFPBjORbt/dNDi+pDiR2GIwtKOTNNv8+C1LAzetf4KzqmRTHcvfm0PmTa5hYUMCTu+o5rKSYM6on9nj+ri1bubHbggalsSjLxo1l3pgyzq7xzqnyIrqfPhSxiHHlwnF8Yl4VUTPikf3TGl/stdLo+qZOXt3TzuFj1K9pMKIRTREVkdygv7wyYiwvDnn9nCx3Jkg89NTIJzRKOedIPvwjfB3JYlEiNfP9ixdCHXs2ZzqFLBXM9DuRIHS4YN6vP3v9wUDihsUVM470PWZ7KqnVRYFl46o4p7aaFxr28KUXXubRnXX7nlu5o67HvnsTSc6umcT5k2uIqbg2LAXRSI8CG8DMfqaG/ua13O7HKCIifWkkm4yoyNzDSL2wps92V6+TlH1cClp9ntrokiS3byBWO8/fuCESLx5/8J1EJKs1dgYz8nJ60YRA4oZFfsT/08nF5eOZUFDse9ywaepM8LGnn9vXc+3Rul3MLClm2bgqSmM9j3vUYFJhYSbSzAkXTS/n6V1v9ti2qy05wN4iIpKrdJtLRlTsrUsh1s+S3a1tJFetHfmERqPOYFa/S615IJC4YdHZuivTKWQp9Q6TMAlmutK51UsCiRsW3331Gd9jXrvgBN9jhtFT9fV9FjVY19TMzzdu5s/bd1AY9c6p4mZ8aOYMxhVo6mJQlowtZHpJzxkZb68pyVA2IiIyWqnIJr5xnQlcY9MB97H8vAFXE00+rybHAJZfBAVlvsd1dZt8jxkm+WXTMp2CyBCod00Qxuf7/9kKsKRiZiBxw6Il2el7zD9v3+R7zDAaX1BwwOdbk0neM20yd5y4jHdNmzJCWeUmM+OGJZO4aNoYTpxQxNWLxvMPNaWZTktEREYZTRcVXyRXrSXx18egoxObNJ74BadhvVaycs6RfPx5Uhte7z9InpZB3yeAqTcW6WcEYQ6JRHP73y9hE8wIwTxye9TFB6afyr+vud3XmIZ38Z3LTh4/hT9sXT/k15XE4jQl+i/Q1Xe09bs918wfU8ZZNZO4+41tA+7Tkkgypr+et+K7qvwY/zy3KtNpiIjIKKaRbDJsrrWNxP2PQod3ouy27SDx6HN99kutWkvy4ach0X//ishUrS66T4f/fYNcIrcvWFKJYKbhioSJs9zuH7RiwlFUxfwtNGrCNFw1ZynTi8YM6TUR4IdHv53CAW4qnTJ+qg+ZZYfPzZvNL9+yhEunTyXeTz33xPHjRj4pERER6ZdGssmwuYa9kOx54eZ27e6zX2rjlgPGSW18A45f7GtuoVVZCzvW+RrSxuR2EdOl/J/OJABRILcLN2GS0mqwJM3/stjavVuZXVrte9ywMDP2Joe2EmgKeHDH67Smer4nYxbhGwuXM7us0scMw6+2qIh/mjmdC6fU8sjOOlbuqKM1meSc2mqOqarIdHoiIiKSpiKbDJuNr4KSYmhq3rctcljfviA2rhLWbhw4UCS3p9t0Fz/zKjp/+gFfY0bGTfc1Xtgk2uoznYLIoBlRXADFS8vxAextyU4aOpsPvuMQlcQO3DcrF8wsKaeuvXXfz8b+UX55FqHDpfq8pjIvn7F5hdR17H/de6bOZdm42oCzDa8xeXHOrJnEmTW5feNMRERktMrts23xhUUjxC86ncjMKdjYCqInHE30mAX7nnctbbhUiuixC/cX3/LiWPX4/UEiRmzJESOc+ehlJZVQUO5rTLf7DV/jhU0qx6fLSriMLep/gZjhmlCc28X2gmicKYVjfY15XMUsago16uqTs46hJLa/L5gDFpeP5zuLTuEnS84gZn1POTc2N/YosMUtwvm1s0YiXREREZFAaCSb+CIyrpLIBf8AeIsgdPzgl16Ptrw4NLVAcSGx05cTv/AfcK1tEI9BNEpq/WZc/R4ih00hUuVvUSnMUuseg7YGX2O6Pdt9jRc2RVVzA4qc2wsqVJQvYHfDC5lOI+scP/ki7lp7ve9xz5p7pe8xw+aS2rdw/au/9y3e9OLxB98pB0wuKiPpek7FXbVnJ0uqvBFXH5pxJDet79mv9c22nqMKO12K53fv4NSJ0wLNVURERCQoGskmvkrV7SZx78NeYa2j03sEaG4l8ceHcIkEVliAxWKYGdGZU4ktOUIFtt6CWPigbpPvMQVKqo/NdAoZtWDBxwKKnNvFy8Orjvc95viiGUweM8/3uGGzYuJRTMrv/29O1CLUFAxtVNq8Uk1t7FJT2HNRiepuP18weTZvGVsDQNSMS6bMYWF531GFNUWlwSYpIiIiEiCNZBNfua07Bn6yrR32NkPF0FYgy0U283h48GZI+tisv7P14PtkMRtgBbvhGlN7YiBxw6Kyck4gcSsqcrsYVFlUzfTyo9nY8Iwv8aLE+cjSW32JFXb5kTg3HnEZFz/1nR7b3127nI8fdgYAD9et5q5tT1MWL+TlxtfZ3FrXY99C4qQicH71Ut42buGI5T7afXr2sXxh1cM0dLZTFsvjM7OX7HsuPxrl+iNPZntbM3mRKBV5BTQnOnmsbhvPNWwngvHOybOZW1aVwX+BiIiIyPCoyCa+6tFnrfdzFWVQXjaC2YTYzo3+FtiAyKzcLgalku2BxLV4USBxwyISyaMgfzxt7QcosB+Cysr5vsYLo8uP/j7Pb7uX363+Ko6+TeMHI2JRxhVN5V1HfIO8aL7PGYbXlKJxfGHW+dy08U80Jdo4Y/wiPjL97fueP3HsPE4c6xV6P/L8zT2KbHmRGHcdfxUF0TxiltsjLns7snw8d5xwHpubG5lcVEp+tO9p5oSC4n3fF8fifP/oU9nc0khRNM7Y/MKRTFdERETEdyqyZYiZlQBfB94JlAMvA9c65+7KaGLDFBlbQez05SQeeQbaO7DKclxbG1ZZTuyU4zDTCqKDkdqxbkj7R444g9Sqe/t/0qJEjjqH2LL3+JBZeEWi+eSVVNPRtNXXuGU1y3yNF0ann34nf7zndDo7G32LOWnict9ihVXEIhxVfSaGce+679LSsYeCWAmtCe84F8bK9n3fJR4ppCS/kjlVJ7Bi9ieJ9NNsXjxnTTqGMyceRco5YpGBi2VXTDuVT7/4M9pT3o2Py6acQklMxaCB5EWizCytGNJrphTpBpyIiIhkBxXZMucO4Cjgc8BG4FLgDjM7yzl3TyYTG67okXOIHhnMFLJc4eIFQ9jbiB7/Xqy4kuRTt0OivcdzsYuvJzpptt8phtLkZf/GhgeuxHXu8SVefsXhxPJ1cWgW5R1n/pn7/3wBzc1bhhuNeXM/xLhxx/iSWzZYXL2CIyedTsoliUXi7GnbTkPbdiaVzOKGv51HU0f9vn0XTHgrF86/OoPZhkvEIkQOcu/nqPIZ/G7pZ3m2YQMziicwo3jCyCQnIiIiIqGjW9wZYGYrgFOBDzjnfuyc+z/g/cBjwA0ZTU5Ghdi0fprpF/RfzInMfxuRojHEjnsXsZM+0PO5eW9Tga2b4gmLWHDRPUw9+XpiheOGFSuvdCqzVvzUp8yyw4nLb2b8uKUDPl9VdTSHHfbuAZ+fM/uDnHvOY8yefVkQ6YVaxCLEInEAxhRMYGr5EeTFCrhowb9TUVgNwIyKYzh9ZlALUeS2yrwSTh1/hApsIiIiInJA5notty7BM7Nb8KaJVjrnUt22XwHcDMx3zq0eRJxpwMaNGzcybdq0YJKVjEk8exfJR2+FRAdWs4D4+deSuO87pF5Z6e0Qyye67L1EF5+NdZvqlHrtWVKbnsXGTicy9+Qez0lPzTteYPMj19DZ/CbQ67PQ4kRiBbhUB4WVc7B4MZ17N1MyaSkTF3+YWJ5WwBvImjU/Yv2GXwMRSkunUVY2nenTLmTMmMNIpRK8uu42du58irKymZQU19Lc/AYTJhzH+PEDF+hkYM45Eql24tGhjIAVEREREZGBbNq0ienTpwNMd85tGuzrVGTLADN7DHDOuWW9ti8FHgcuds79ehBxpqEiW1ZzyU5IdmJ5+5vrp7atwbXsITJ1ERZTI3O/JNobSbTtIr9sGrgUWEQ9BEVERERERHLQoRbZ1JMtM6qAV/rZXt/t+R7MrBxvgYTuan3OS0YZi8YhGu+xLTJJ/e6CEMsv299fTSsGioiIiIiIyBCpyJY5BxpC2N9znwTUzVpEREREREREZBRSkS0zdtHPaDWgMv1Y389zNwK39tpWC6z0Ly0RERERERERETkUKrJlxsvABWYW6b7wAbAw/fhS7xc45xqAhu7b1C9KRERERERERGR0iGQ6gRx1B15/tbN6bX8fsHYwK4uKiIiIiIiIiMjooZFsmXEP8ADwYzOrAjYC7wdOAM7JZGIiIiIiIiIiIjJ0KrJlgHPOmdm5wNfTX+XAauB859zdGU1ORERERERERESGTEW2DHHONQIfS3+JiIiIiIiIiEiIqSebiIiIiIiIiIjIMKnIJiIiIiIiIiIiMkwqsomIiIiIiIiIiAyTimwiIiIiIiIiIiLDpCKbiIiIiIiIiIjIMKnIJiIiIiIiIiIiMkwqsomIiIiIiIiIiAyTimwiIiIiIiIiIiLDFMt0AjIsUYAtW7ZkOg8RERERERERkazQrc4SHcrrzDnnfzYyIszsBGBlpvMQEREREREREclCy51zjwx2ZxXZQszM8oFjgW1AMsPpHEwtXkFwOaChd/7RcQ2GjmswdFyDoePqPx3TYOi4BkPHNRg6rsHQcQ2Gjqv/dEyDEabjGgUmAU8559oH+yJNFw2x9H/oQVdUM8nMur7d4pzblMFUsoqOazB0XIOh4xoMHVf/6ZgGQ8c1GDquwdBxDYaOazB0XP2nYxqMEB7X9UN9gRY+EBERERERERERGSYV2URERERERERERIZJRTYREREREREREZFhUpFNRkoD8JX0o/hHxzUYOq7B0HENho6r/3RMg6HjGgwd12DouAZDxzUYOq7+0zENRtYfV60uKiIiIiIiIiIiMkwaySYiIiIiIiIiIjJMKrKJiIiIiIiIiIgMk4psIiIiIiIiIiIiw6QimwTKzErM7Ltmts3MWs3saTM7O9N5hZ2Z1ZrZf5rZI2bWZGbOzE7OdF5hZmZvM7NbzWytmbWY2RYz+52ZLcx0bmFmZsvM7D4ze8PM2sxsp5n9n5mdkencsomZXZP+HHg+07mElZmdnD6G/X3NyXR+YZc+vvebWUP6M3a1mX0w03mFVfrv1UDvV2dmEzOdY1iZ2WIzu9PMtppZc/q9epWZ5Wc6tzAzs7ek//43m1mjmd2jc6zBG8q5v5m928xeSJ93bTGz68ysYIRTDoXBHlcz+5SZ/d7MXk/vc+vIZxsOgz33N7MbzWxV+ryg1cxeNbNvmVlVpnL3i4psErQ7gPcAXwLOBFYDd5jZioxmFX4zgXcBTcBfM5xLtvgwMAX4DnAG8On0z0+Z2XGZTCzkKoC1wL8CpwMfBNqBe8zskkwmli3MbD5wJbA907lkiSuB43t9bcpkQmFnZu8H/gKsBy4BzgJuAvIymVfI/Tt936cnAq3AE865NzOYW2ilC+p/A6YBn8R7r/4O+BpwS+YyC7f0edQDQAzvuuBSYCzwsJnNzGBqYTKoc38zey9wG/Ao3vns14F/Bm4NPsVQGuw11YeAauAeoG0E8gqzwZ77lwE/Ad6NVyf4f8AVwANmFh/RjH2m1UUlMOlC2h+B851zd6S3GbASqHLOzc1kfmFmZhHnXCr9/bl4xcy3OucezGhiIWZm451zO3ptKwc2Av/nnLsgM5llHzOL4R3XV51zp2Q6nzAzswjeBeFTwEKg3Dm3KLNZhVP6zvUDwHnOuTsznE7WMLPJeCfb1zjnrs90PtnMzM4Hfgt80DmngtAhMLNrgKuBmc659d22/wKvQFzknOvMUHqhZWb3AwuAw5xzrelt5cAG4F7n3HsymV8YDObc38yiwBbgSefcOd22XwHcDBznnHtiRBMf5QZ7TdVrvwbgTufcpSOcbmgN9tzfzD4M/AA4yTn38Ejl5zeNZJMgnQfsAX7ftcF5Vd2fAXPMbF6mEgu7rg958U/vAlt6WwPwKlA78hllL+dcAu+zQRcqw/cpvPfnFzOdiMgA/in9+L2MZpEbLgdagF9lOpEQ6/q7tKfX9q6/WcmRTSdrHI93w7K1a0P6HGslcG66OCQHMMhz/+OAiXjXWt3dhvf+1Q3jXgZ7TaVrr+EZwrl/Xfox1NcIKrJJkBYAq/v5UFrV7XmRUcvMxuG9T1/KdC5hZ2YRM4uZWbWZfQWYhTc1Vw6Rmc0ArgU+5pxrzHQ+WeT/mVnCzPaY2R/M7OhMJxRyJwJ/B843r+dlsluPIE0X9YmZTcKblnO7Pg+G5RdAPfADM5tuZmVmdg7wfuAGXWgfsjy86WK9tQNFwIyRTSdrdV1b9Thvdc614E3X17WXjJjBnvun9yk2s7fgtUJ4CAj1iMtYphOQrFYFvNLP9vpuz4uMSumpzTfj3Yz4jwynkw1+zf47qI3ARc65P2Uwn1BLvz9vAe7T1Ebf7AFuBB7E+zs1F7gKeNTMTtIUm0NWnf76HvBl4GXgFODzwGS8/kwyfO8HosCPM51ImDnnNqf7h92JN5Wxy9edc1/OUFrZYDVwnJlZelYL6Z5LS9LPj8WbOSDD03VtVd/Pc/Xo2ktG1kHP/c1sAfBit033AJeE/YaGRrJJ0A7U9E8NAWU0+xZwLvBh59zfM51MFvgc3sn02Xh/QH9tZu/KbEqhdgVwDPDxTCeSLZxzzznnPuWc+71zbqVz7mZgGV4z5K9lOL0wiwClwEedczc55x50zv0bXkHz3Wp67ptLgXVh7mEzGpjZVOBuYCde25O3AtcA/2pm/57B1MLue8A84LtmVpPu1Xgz+9txhPqCehQa6BpL114ykgZz7r8OOBZv1Pu/AIuAP5tZ0Ugm6jcV2SRIu+j/jkll+rG/uywiGWdmX8NbEecTzrlbM5xOVnDObXDOPeWcu9s59y7gPuCmdON+GQIzGwtcD3wDaDaz8nQD6RgQTf9ckNEks0R6hcb78frcyKHZlX68r9f2e9OPR41gLlnJzE4AZgM/zXQuWeA6vKLwGc65O9NF4a/gfd5+wcymZTK5sHLO/QRvZPCleI35N+O9Z7tmCmzNTGZZp+vzdqDrL117yYgZzLm/c67NOfd0+ubm9/AKckvxVnMNLV3cSJBeBub2cxG9MP2oPlcy6pjZtcAXgM85576b6Xyy2JN4S3yPy3QiIVQLjMG76Nvd7esteP1WduONvBB/RNDd/+F4cYDtln7UCJbhuxyvIX/vZucydIvx+gm39tr+NN5nwZyRTyk7OOe+iTctdCEwzTm3DK/w85pz7vWMJpc9Xk4/9ui9lh4VdBi69pLMGsy5/3NAAq9/W2ipyCZBugMoB87qtf19wFrn3OqRT0lkYGZ2NV7PoC87576V6XyyVbqf2MlAA/vvusrgrcObwtT76wW8xsZvxZuGI8NkZhOB04DHM51LiP0u/bii1/YVeMXLp0Y2nexiZsXAO/H6M76R6XyywFZgQT9TlY5PP+oYD4Nzrt0595Jz7rX0qMCLge9nNqus8jjwJvCPvba/C4iz//NYZEQN4dz/BLyZGetGIK3AaOEDCdI9wAPAj82sCtiI15j3BOCcTCaWDczswvS3x6YfT0pPI2t2zt07wMtkAGb2r3ijf/4A/CXd+LhLu3PuuYwkFnJmdhvwGvAM3rLck/A+B04BPp5e0luGwDnXhNecv7r45cUAAAdSSURBVAcza0g/3+c5Obj0e3UD8CzeaMA5wJVAIV6TfjkEzrk/mdm9eFNExrJ/4YNPAD90zr2W0QTD72KgBPhJphPJEt/Fu0l8n5ndiLcgysl4vYX+4pwbaGSmHICZHYnX5/ZpvBVFF+F9rj6J159RBuFg5/7OuYSZXQXcambfB27HW8Tnm3grD+uGUT8Gc01lZscA09LPx4Gp3V73kHNu50jlO9oN5tzfzJbjfQbcgVcjiAFHA5/Cu2H8owyk7htLL/AiEggzKwO+DlyIN6ptNXCtVsMbPjMb6H/e15xz00Yyl2xgZg8CJw3wtI7pITKzj+GtHjgLb4rjHryT7O875+7OZG7ZJv0eLnfOLcp0LmGUvjC5BO8kuhjvTuuDwFedc5piMwzp0VZfwRtNMQ6vH9OPgOvDvoJYppnZSryCcLVzrjPT+WQDMzsVr3/YQrwC5ibgf4FvO+eaM5haaJnZHLwR1gvwPl83AD/HO6btmcwtTAZ77m9m78W7STQLr8hxG3B1P9OghcEdVzO7Fa9Q1J+36gbnfoM590+PZL0Or//aBLzVsTfiDXa4zjlXN+KJ+0hFNhERERERERERkWFSTzYREREREREREZFhUpFNRERERERERERkmFRkExERERERERERGSYV2URERERERERERIZJRTYREREREREREZFhUpFNRERERERERERkmFRkExEREQkxM7vUzJyZnTxCv+/k9O+7dCR+n4iIiEhYqMgmIiIiIiIiIiIyTCqyiYiIiIiIiIiIDJOKbCIiIiLiOzOLmllRpvMQERERGSkqsomIiIhkh5iZXWNmr5lZu5mtMrNLeu9kZseY2R1mVpfeb62ZfdHMYv3se46ZPWdmbWb2upldC8T72a+rL9ypZvZlM1sPtAEXddvnXDN71Mya0l+Pmtk5/f1DBruvmW0yswfN7Egz+0t63x1m9h9mFjOzgvT3b6T/DQ+b2dxeMQrSx22tmbWYWYOZvWhm3xrUURcRERFJ63MyJSIiIiKh9E2gGPgB4IDLgF+aWYFz7lYAM1sB3AGsA24A6oHjgWuBRcA7u4KZ2XnAb4FN6ecT6ZjvOEAO/4FXhLsFaATWpmN9FLgJWAN8NZ3fpcCdZvYh59zN3X7voPdNqwX+DPwKuB14O/CvQBKYDxQC1wFjgc+k48x1zqXSr78JuBz4OfAdIAocDpxygH+niIiISB/mnMt0DiIiIiJyiNKrfP4U2Awc4Zzbk94+BlgFlAI1eMWqTcArwCnOuUS3GJ8Cvg281Tn3oJlFgY1AETDHOVfXK+YU4LJuxbuuHF4BFjvnWrrFrgBeB94EjnLONaa3lwHPAeOByc65hqHsm96+CZgKXOSc+0233/kMsBi4GzjXpU94zexfgP8ETnfO3ZfeVg887pxbMfSjLyIiIrKfpouKiIiIZIcfdBXYANLf/xCoAE4GTgMm4BXDys1sbNcXcE/6ZW9PPx4NTAZ+2lVg6xXzQDm09Np2Gt4Iu+92Fc3SsRqB7wElwKmHsG+XN7oX2NIeAQz4nut5R3ll+vHwbtv2APPNbMEB/l0iIiIiB6XpoiIiIiLZ4e/9bFudfpyBV7wC+MkBYkzotj94UzYHitmfV/rZNj39+HI/z73U6/cNZd8uG/vZd/cAz3Vtr+q27ZPAL4AXzWwD8ADeCLi7u00pFRERETkoFdlEREREskN/PUCsn+8/Czw/QIytvfY9WMzeeo9iO9j+w9m3S/IQntv3e5xzvzezacAK4CS8kXL/BKw0s1Odcx2HkJOIiIjkIBXZRERERLLDPOCuXtu6VtLcgLcAAECzc+4vB4m1vtfr+4s5WF2x5gN/7fXcvG75DXVf3zjn6oH/Bv7bzAxvoYTPAecAvaeiioiIiPRLPdlEREREssNH0gsTAPsWKfgw0AA8BNwH7ACuMrPK3i82s0IzK03/+AywBbgs3bOta5+ydMyh+DPQDHy8W3zS338caErvM9R9h83MomZW3n1buofbc+kf+xwnERERkYFoJJuIiIhIdqgDnjCzn+BNh7wMbxXQD3QtRmBm7wPuBNam91sHlANzgPOB84AHnXPJ9IqjvwaeNLNbgARwObArHXdQ0quGfg64KZ3fremnLgVmAh/qWrBhKPv6pBTYZmZ34RXWduD1hfsIXv+2u338XSIiIpLlVGQTERERyQ5XAsuBj+EtYPAq8B7n3P907eCcu8/MjgWuAt4LjMMrJq0Hvg2s6rbv7WZ2IfBvwDV4BahbgYeB+4eSmHPuv8xsG14/uKvTm18AznPO3Xmo+/qgBbgReBteL7YSYBvetNtvOOe2HuC1IiIiIj1Yz1XNRUREREREREREZKjUk01ERERERERERGSYVGQTEREREREREREZJhXZREREREREREREhklFNhERERERERERkWFSkU1ERERERERERGSYVGQTEREREREREREZJhXZREREREREREREhklFNhERERERERERkWFSkU1ERERERERERGSY/j9/wK8VJQpQ0gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "sb.set_context(\"notebook\", font_scale=1.5, rc={\"lines.linewidth\": 2.5})\n",
    "sb.stripplot(x=\"bedrooms\", y=\"price\", data=df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "sb.set_context(\"notebook\", font_scale=1.5, rc={\"lines.linewidth\": 2.5})\n",
    "sb.stripplot(x=\"bathrooms\", y=\"price\", data=df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "sb.set_context(\"notebook\", font_scale=1.5, rc={\"lines.linewidth\": 2.5})\n",
    "sb.stripplot(x=\"grade\", y=\"price\", data=df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 3456x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(48, 8))\n",
    "sb.barplot(x=\"bedrooms\", y=\"price\", hue=\"grade\", data=df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10a7f0550>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.countplot(x='bedrooms',data=df, palette='hls')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1037c26d8>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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T9jle664k4/ft2rNVewAAAABWY6qQqw+kTkvy9CT32KbpwVN0+/p87eypzyZ5Ymvtwv7vu/vn6zbZ7rokDxr5++4kV27RbrSvafoc98wkz9tmPQAAAABrMO2ZXC9Nd5bVFUn+d7qb0M/rtCQvSxea/WSS11fVya21c0fatC22HV++Vbtp2m7Xx5lJzh5btifdTfcBAAAAWJNpQ66fSnJha+2YA7acUGvto0k+2v/1vP7m8/+zql6Xr4VouzfZ9NDc+mysa7dpl5G20/Q5XusN6b5t8quqbnO1JgAAAAArNtWN55PcLSM3dl+Sv+7HuXu6M8aSze+TdURufV+tK5Ic3l9SOd4uI22n6RMAAACAAZg25Hp/knsuo5Akqe60qKPSnS11bWvt6iT7kpw0Gl5V1SOT3DvJG0c235vupvDHjnX75CQfaq3tT5Ip+wQAAABgAKa9XPEFSV5TVa9prX1inoGr6g+TfDzJ3yT5TLrw7OQkP5zk6a21r/RNT09yUZJzq+rVSe6V7h5e70ryhpEuL0hycV/f7iQf6/t7WJLHjQ0/aZ8AAAAADMC0IdeD0wVT+6tqb7og6eaxNq219qIJ+vo/SU5K8rNJvjnJjenOsDqutXbeSGfvqKrHpgvYzk9yU5I3JTmttXbzSLtWVccneUn/2JVkf5ITR/ubpk8AAAAAhmHakOv5I3/+qS3atCQHDLlaa7+V5LcmGbS1dmGSCydo99kkT+sfC+kTAAAAgJ1v2pDrO5dSBQAAAADMYaqQq7X28WUVAgAAAACzmvbbFQEAAABgx5nqTK6q+r0JmrXW2n+esR4AAAAAmNq09+Q6ZYI2LYmQCwAAAICVmepyxdbaQeOPJHdI8u+S/G6Sy5LcbQl1AgAAAMCW5r4nV2vt5tbah1trP5vk2iQvm78sAAAAAJjcom88/6dJHr/gPgEAAABgW4sOuXYnueuC+wQAAACAbU174/lNVdWuJI9K8gtJ/mYRfQIAAADApKYKuarqlnTfnrjp6iTXJfkv8xYFAAAAANOY9kyu389tQ66WLty6Msm5rbWbFlEYAAAAAExqqpCrtXbKkuoAAAAAgJkt+sbzAAAAALByU994vqoOSnJykhOS3Ldf/NEkb0zy+621WxZXHgAAAAAc2LQ3nr9zkguS/FC6e3Fd0686Jsljkjy5qo5prX1poVUCAAAAwDamvVzxuUkekeSMJHdvrX17a+3bk3xLkl9LclSS5yy0QgAAAAA4gGlDrh9P8vrW2mmttes3FrbWbmitnZ7k9UmetMgCAQAAAOBApg259iS5ZJv1f963AQAAAICVmTbkuiHJd2+z/rv6NgAAAACwMtOGXG9L8tSq+o/jK6rqR5L8XJK3LqIwAAAAAJjUVN+umO7G8/8xyQVV9d4kV/TLvzfJA5N8Jsl/W1x5AAAAAHBgU4VcrbWPV9WRSX41ybFJHtSvuinJuUl+ubX2D4stEQAAAAC2N+2ZXOlDrJOqqpLcPUkl+XRrrS26OAAAAACYxNQh14Y+1Pr0AmsBAAAAgJlMdeP5qvr5qnr7Nusvqqqfnb8sAAAAAJjctN+ueEqSD2+z/sokT5m5GgAAAACYwbQh13cnef8266/o2wAAAADAykwbct0hyZ22WX+nA6wHAAAAgIWbNuS6Msmjt1n/I0k+Mns5AAAAADC9aUOuc5P8SFW9qKruuLGwqu5QVS9IF3L9f4ssEAAAAAAO5JAp2/96kqOTPCfJz1XVB5O0JIcnOTTJpUnOWGiFAAAAAHAAU53J1Vr713Rnaz07ydVJHpjkQUk+keS0JI9qrf3LoosEAAAAgO1MeybXRtD18v4BAAAAAGs37T25AAAAAGDHEXIBAAAAMHhCLgAAAAAGT8gFAAAAwOAJuQAAAAAYPCEXAAAAAIMn5AIAAABg8IRcAAAAAAyekAsAAACAwRNyAQAAADB4Qi4AAAAABk/IBQAAAMDgCbkAAAAAGDwhFwAAAACDJ+QCAAAAYPCEXAAAAAAMnpALAAAAgMETcgEAAAAweEIuAAAAAAZPyAUAAADA4Am5AAAAABg8IRcAAAAAgyfkAgAAAGDwhFwAAAAADJ6QCwAAAIDBE3IBAAAAMHhCLgAAAAAGT8gFAAAAwOAJuQAAAAAYPCEXAAAAAIO3tpCrqh5ZVWdX1Yeq6gtVdXVVvbGqjtik7aOr6rKq+mJVfbqqXlVVuzZpd9eqemVVXdO33VdVx20x/kR9AgAAALDzrfNMrlOT/Nskv57k6CT/pf/7u6vq+zcaVdVRSS5I8okkxyb5xSTHJTm/qsbr35vkpCTPTfKYJPuT7K2qY0YbTdknAAAAADvcIWsc++dba58eXVBVFyX5WJL/muTx/eKXJ7k8yY+31m7p212T5KIkT0jyun7ZMUkeleTE1treftnFSe6b5Ix0oVam6RPg69HL9526lnFPO/KstYwLAADcPqztrKXxgKtfdkOSDyfZkyRVde8kD0ny2o0wqm/3tiSfzNeCsCQ5IcmNSd480q4lOSfJYVV1/xn6BAAAAGAA1nkm121U1d2TPCDJuf2iB/TPl2/S/P0j6zfa7h8NrnrvG10/ZZ/j9e1KMn7frj1btQcAAABgNXbM/aeqqpK8Ol1Nv9Yv3t0/X7fJJteNrN9ou1W70b6m6XPcM9NdTjn6uHSb9gAAAACswE46k+sVSY5P8p9aax8YW9e22GZ8+Vbtpmm7XR9nJjl7bNmeCLoAAAAA1mpHhFxV9eIkz0ryjNba2SOrru2fNzu76tDc+mysa7dpl5G20/R5K/09w24Yq32r5gAAAACsyNovV6yqFyb55SSntdZeObb6iv55s/tkHZFb31friiSHV9X4z3RE/3z5SLtJ+wQAAABgANYaclXV85L8SpJfaa29Ynx9a+3qJPuSnDQaXlXVI5PcO8kbR5rvTXdT+GPHunlykg+11vbP0CcAAAAAA7C2yxWr6llJnp/kT5K8vaq+f2T1l1tr7+3/fHqSi5KcW1WvTnKvJC9L8q4kbxjZ5oIkFyd5TVXtTndT+JOTPCzJ48aGn7RPAAAAAAZgnffk2jjj6rH9Y9THk9wnSVpr76iqxyZ5QZLzk9yU5E3pLm+8eWOD1lqrquOTvKR/7EqyP8mJrbXzRjuftE+Aef3evlPXMu5TjjxrLeMCAACsy9pCrtbaUVO0vTDJhRO0+2ySp/WPhfQJAAAAwM639hvPAwAAAMC8hFwAAAAADJ6QCwAAAIDBE3IBAAAAMHhCLgAAAAAGT8gFAAAAwOAJuQAAAAAYPCEXAAAAAIMn5AIAAABg8IRcAAAAAAyekAsAAACAwRNyAQAAADB4Qi4AAAAABk/IBQAAAMDgCbkAAAAAGDwhFwAAAACDJ+QCAAAAYPCEXAAAAAAMnpALAAAAgMETcgEAAAAweEIuAAAAAAZPyAUAAADA4Am5AAAAABg8IRcAAAAAgyfkAgAAAGDwhFwAAAAADJ6QCwAAAIDBE3IBAAAAMHhCLgAAAAAGT8gFAAAAwOAJuQAAAAAYPCEXAAAAAIMn5AIAAABg8IRcAAAAAAyekAsAAACAwTtk3QUAw/NX+05dy7gPPfKstYwLAADAzudMLgAAAAAGT8gFAAAAwOAJuQAAAAAYPCEXAAAAAIMn5AIAAABg8IRcAAAAAAyekAsAAACAwRNyAQAAADB4Qi4AAAAABk/IBQAAAMDgCbkAAAAAGDwhFwAAAACDJ+QCAAAAYPCEXAAAAAAMnpALAAAAgMETcgEAAAAweEIuAAAAAAZPyAUAAADA4Am5AAAAABi8Q9ZdAADsRKfu+3/WMu5ZR75yLeMCAMDQOZMLAAAAgMETcgEAAAAweEIuAAAAAAZPyAUAAADA4Am5AAAAABg8IRcAAAAAgyfkAgAAAGDwhFwAAAAADN5aQ66q2lNVv1FV76yqz1VVq6qjtmj7k1X1d1X1paq6uqpeWlV32qTdt1XVOVX1mar6fFVdWlUPnadPAAAAAHa2dZ/J9V1JnpTkc0n+bKtGVfVTSf4wyV8mOTrJS5L8fJKzx9rdqe/nEUmenuSEJDcl+bOqeuAsfQIAAACw8x2y5vH/orX2rUlSVccnOW68QVUdnOQVSd7SWntqv/jiqvrXJK+uql9vrb2rX/6UJN+b5MGttff02/95kg+kC7GOnqFPAAAAAHa4tZ7J1Vq7ZYJm35/kHknOGVv+h0n+NcnjR5adkOT9GwFXP8aXk5yb5NFV9U0z9AkAAADADrfuM7km8YD++fLRha21L1TVR0bWb7S9eJM+3pfk4CSHJ/nrKfv8qqralWTX2OI9E/wMAAAAACzREEKu3f3zdZusu25k/UbbrdqN9jVNn6OemeR5W1YKAAAAwFoMIeTa0CZcvlW7adputfzM3PbG9HuSXLrNmAAAAAAs2RBCrmv7590jf95waJKPjbXd7CysQ/vn60baTdrnV7XWbkhyw+iyqtqqbgAAAABWZK03np/QFf3zre6TVVV3SXK/3Pq+WleMt+sdkeTmJB+coU8AAAAAdrghhFyXJfnHJP/X2PInJblDkjeOLNub5Iiq+vcbC6rqjn3bt7fWPjtDnwAAAADscGu/XLGqfqz/40P650dU1bck+Xxr7U9ba1+pqmcnObuqfivJH6f7lsSXJfnj1tplI929JsnPJ3ljVf1SussTn5HkXkmeuNFoyj4BAAAA2OHWHnIlecPY35/fP388yX2SpLV2TlXdnOT0JD+d5DNJzsrYNx221r5UVT+c5BVJfifJnZK8J8mjW2t/M9Z2oj4BAAAA2PnWHnK11ia6c3tr7Q+S/MEE7Ta7DHGuPgEAAADY2YZwTy4AAAAA2JaQCwAAAIDBE3IBAAAAMHhCLgAAAAAGT8gFAAAAwOAJuQAAAAAYPCEXAAAAAIMn5AIAAABg8IRcAAAAAAyekAsAAACAwRNyAQAAADB4h6y7AABgcqfue+HKxzzryP+28jEBAGBazuQCAAAAYPCcyQUAfN05dd/r1zLuWUc+cS3jAgDgTC4AAAAAvg4IuQAAAAAYPCEXAAAAAIMn5AIAAABg8IRcAAAAAAyekAsAAACAwRNyAQAAADB4Qi4AAAAABk/IBQAAAMDgCbkAAAAAGLxD1l0AADBsp+777bWMe9aRT13LuAAA7EzO5AIAAABg8IRcAAAAAAyekAsAAACAwRNyAQAAADB4Qi4AAAAABk/IBQAAAMDgCbkAAAAAGDwhFwAAAACDJ+QCAAAAYPCEXAAAAAAMnpALAAAAgMETcgEAAAAweEIuAAAAAAZPyAUAAADA4Am5AAAAABg8IRcAAAAAgyfkAgAAAGDwhFwAAAAADJ6QCwAAAIDBE3IBAAAAMHhCLgAAAAAGT8gFAAAAwOAJuQAAAAAYPCEXAAAAAIMn5AIAAABg8IRcAAAAAAyekAsAAACAwRNyAQAAADB4Qi4AAAAABk/IBQAAAMDgCbkAAAAAGDwhFwAAAACDd8i6CwAAuD04dd871jLuWUf+8FrGBQBYNWdyAQAAADB4zuQCALidOvWv9q1l3LMeeuRaxgUAvr45kwsAAACAwRNyAQAAADB4LlcEAIADOPX31nRp51Nc2gkAkxJyAQCwo5z6ltUHSmcdJ0wCgKG7XYdcVXXXJC9J8oQku5JckeSFrbW3rLWw24l9v33qWsY98qlnrWVcAAAAYHlu7/fk2pvkpCTPTfKYJPuT7K2qY9ZaFQAAAABTud2eydUHWY9KcmJrbW+/7OIk901yRpIL1lgeAAAAAFO4PZ/JdUKSG5O8eWNBa60lOSfJYVV1/3UVBgAAAMB0brdnciV5QJL9rbVbxpa/b3T96Iqq2pXu3l2jviNJrr766mXU+HXtU9fetJZxr7rqqi3XferTO6+mneiaT+3M1+mf1lDXgWr6zA58ra7bgTXduANruulTn11dISMONKdu+tT1qylkxIFrunY1hYzZ/v379OoKGbF9Tf+4ukJGbFvTNZ9aXSEjDjin/mn1dR2wps/svNfqOWe9b8t1y/TiU79vy3XP+dU11fRLW9f0/Oesp6bnv3jrmgA4sJGc5eBJt6nu5KXbn6q6MsmVrbXHji3/7iRXJnlqa+13xtY9P8nzVlYkAAAAwO3bw1tr75yk4e35TK4k2S7u/x2wAAAZO0lEQVTh22zdmUnOHlt2x3T38fpwkpvnqGVPkkuTPDzJTjotbCfWpabJqGlyO7EuNU1GTZPbiXWpaTJqmtxOrEtNk1HT5HZiXWqajJomtxPrUtNkFlnTwUnumeTdk25wew65rk2ye5Plh/bP142vaK3dkOSGTba5ct5iqmrjj1e31q6at79F2Yl1qWkyaprcTqxLTZNR0+R2Yl1qmoyaJrcT61LTZNQ0uZ1Yl5omo6bJ7cS61DSZJdT0kWka355vPH9FksOravw1OKJ/vnzF9QAAAAAwo9tzyLU33U3kjx1b/uQkH2qt7b/tJgAAAADsRLfnyxUvSHJxktdU1e4kH0tycpKHJXncOgsDAAAAYDq325Crtdaq6vgkL+kfu5LsT3Jia+28NZR0Q5IXZPN7fq3TTqxLTZNR0+R2Yl1qmoyaJrcT61LTZNQ0uZ1Yl5omo6bJ7cS61DQZNU1uJ9alpsmstaZqbbsvGAQAAACAne/2fE8uAAAAAL5OCLkAAAAAGDwhFwAAAACDJ+Rasqq6a1W9sqquqaovVtW+qjpuwm3vV1Vvqqobq+qmqrqgqu6/rpqq6vlV1TZ5/OOKxr9qi/FbVX1wrO1W7U6dstY9VfUbVfXOqvpc38dRU2z/4Kr6s6r6fFVdX1V/VFX3Xvb4VXVwVT2rqi6qqk9W1Req6gNV9cKq+qaxtvfZ5vX60WXW2W979hZjXzbJ9gsYf6ufvVXVhSPtFvE6PbL/eT/UvydXV9Ubq+qICbefa58wz/hV9X9X1Vuq6uP95/bD/ef47pu0nevzN2edc++n5hx/pfupqnpoVb21/5x/qar+uareUVVHT7j9vHNq5vFXPKfmqXMRc2qe8Vf+u2+sz42f/28nbL/QY5dpxl/lnJqzzoUcT80x/srmVFUdtU0fh02w/bz7qJnHX/V8mrPWReyn5hl/HcfoR1V3nHtDdb+r91fVz0yw3VzH5rOOXys+Np+1zn6buY/N5xx/q5+91YKPzQ/w82487rHNtov47M0z/qqPOx9Y3T75U/1naH9VPbuqvmGCbZeSbWzmdvvtiiu0N8mDkpyW5GNJTkmyt6qOba1dsNVGVfWtSS5N8ukkJyf5SpLnJvnzqnpga+3qVdc04tFJPjfy939Z0fgnJBn/AB2R5NVJ3rRJ+9clOXNs2UenrPW7kjwpyXuS/FmSiQLKJKmqw5NckuTdSX4syTcmeXGSS/r38HPbbD7v+HdO8rwk56Z7fT6T5CFJfiXJ0VX1A621r4xtc2a612zUByYcb+bXqfe5dPNq1E1TbD/P+D+wybIfSfeNIJvNq3lep1OT7E7y6/0235buc/DuqjqqtbblwcOC9gkzj5/u9bg4yS8l+WSS+6ebY8dV1b9vrY1/e8o8n7956twwz35qnvFXvZ+6W5IPJfl/k/xj//efSXJBVT2ptfZHW224oDk18/hZ7Zyap84N88ypecZfx+++JElVfW+S05P804TtF3rsMu34We2cmqfODfMeT806/jrm1OlJ/mJs2VXbbbDg+TT1+FnTfJqx1g2LmFOzjL/SOVVVJyd5TZLfTfI/kvxrksOS3PEA2y3i2HzW8Vd9bD7z69Sb99h8nvFXeWyeJC9KctbYsjskeWuS97XWJgms5vnszTP+yj571YXdf5XueOaZ6ebwD6f7DN0/yZO32XaZ2cZttdY8lvRIckySluSEkWWV5J1JPnCAbV+e5ItJ7jWybHeSzyb5nTXV9Px+213rGH+L/l7Z9/c9Y8tbkjMX8B4eNPLn4/t+j5pw29cn+VSSbxxZdliSm5OcvszxkxycZPcmy0/u+zh2ZNl9+mXPXNPrdHaSG9b1Pm3R31uSfCHJNy/4dfrWTZbtSnJ9kv99gG3n3ifMOf5m2z6if02ePrZ8rs/fnHUuYj818/hb9LfU/dQm4x2S5BNJ3rHsOTXn+CubU3PWOfecmmf8dc2pdGf7X5bkN9P9o/BvJ9hmYXNqxvFXPqdmrHNhc2qW8Vc5p5Ic1fdx/AzbLuL33jzjr3Q+zVnr3HNqnvFXPKe+Pd0x2mkzbLuIY/OZxs/qj83neZ3OzvzH5jOPv0V/Szk232a8E/u+f/oA7Ra2P59l/C22XdZnb+Nnvd/Y8temCzDvsM22Sznm3OrhcsXlOiHJjUnevLGgde/oOUkOO8DpeSckeVtr7VMj216b5Lx0k34dNS3Cwsavqjsm+ckk72ytXbnoQvvabpllu6q6Q5LHJvnj1trnR/r7YLqD0ccvc/zW2s39fBn37v55zyz9bjPeTHXuxPGr6tuSHJ0uzLhxUf0mSWvt05ssuyHJh3Pg92TufcI842+2bZY3n+Z5nXbU+KvYT41r3f8E35jugGM7S/k9M+n4q5xTW4w/6eu0o8Zf4Zz6hXTvw3Om2GaRc2rq8dc0p2Z5nXbU+OvYT01oWcfCE1n3PmrIljyn/nP//JtT1rSQY/NZx1/1sXlmrHMnjr/MY/NtPCVdqDZ+htiqzDT+kj97G8cr4+/BxrHMzdtsu9L9uZBruR6QZP8m/wB/38j626iqOye5X5LLN1n9viTf2p/yt7Kaxnygqm6u7p5avztlLYsYf8Px6RLg39ti/ZOru4fCl6rqXVX1xCn6ntd9052WvNV7OM3PuUg/3D9vVtdzqupf+uurL66qR66wrrtW1T/18+rjVXVGVd11heOPOjndGRZbzauFvk7V3dvjAdn8Pdlos7R9wiTjb2O7+bTQz98Mdc6zn1rE+BtWsp+qqoOq6pCquldVvSDJ96S73HKr9gudU9OOv42lzqk565x7Ti3odVr6nKqq+yZ5YZKntdY+O+E2C5tTs4y/jaXNqQXUOdecWuDrtIr91Kuq6ivV3YvlT6rqwds1XsLvvanG38Yqfu/NU+sifvct4rVa5pz6oXSXop1Y3b0zb67u3pkv7f+Bv5VFHZvPOv5WlnVsPm+d8x6bL/J1WvWx+T2T/Gi6QHTSfevCjjtnHH/DMj97r01yXZLfqarvrKp/U1WPS/f+nLHVSQdL2J8fkHtyLdfuJJslqNeNrN/M3dJdwnfdJutGt93sf5iWVVOSfCTJLyd5b7rrjH8w3X1qHllVD26tXb/k8cc9Jd21z6/fZN0fJrkg3aUg90zy1CSvq6p7ttZ+Y4oxZrXxc2z1Ht65qu7cWvviCmpJcquD4T9vrV06surL6a6VvyjdvWK+M8mzkrytqh7fWtu75NL+LsnfptvxHZzumvanJ3l4Vf1ga23VZ1n8p3TXpl8ytnzhr1NVVbpr5g9K8mvbNF3KPmGK8Tfb9tB0p0N/OLf9DC708zdlnYvYT80z/rhV7aden6/9L/RnkzyxtXbhNu0XPaemHf82VjSnZqlzkXNq7tcpS55T/Xz/3SRvba1tdj+PrSxkTs0x/mZ9LW1OzVnn3HNqka9Tljunbkx3/5dL0s2Dw5M8O8lfVtUjWmvv2mK7Re2jZh3/Nlawj5qn1kXspxb2WmW5c+pe/eM3093P6op0QdEvpbtE7qQttlvUsfms49/Gko/N56lzEcfmC3udssJj897J6X7u10zQduHHnVOOP25pn73W2j9U1fenu9fX6H28XtJa+5VtNl1mtrG5RV//6HGra0+vTHLeJsu/O931rKdusd29+vXP2mTdT/frDltlTdv09+h+u+eucvx0p/TenOR/Tdj+oHQ30bwpyZ1nfO2muSfWQ/u2j99k3Yv7dXda1vibbHv3dP+b8okkeyZof5f+vfr7Zb5O2/SxMc9/apXjj7xvk87nmV+nfvtf68c75QDtlrJPmHT8LX7uv0hyQ5Lvm6D9XJ+/Wesc2X6q/dQCX6eV7afS/Q/1Q5Icm+6mtv+S5EmrmlPTjr+uOTVvnfPOqQW8TkufU+luiH9jknuPLLskB7jX06Lm1Kzjr3pOLarOWefUAl+ndRxP3SPdDYvfvuz5NOv4q55Pi6x11jm1wNdqqXMq3XFXS/ITY8tf0S//ri22W8ix+azjb9LPUo/NF1XnyHZTHZsv8HVa6bF538cHk3x4ju3nPe6cafwVfPa+o6/tknT/3joq3ZcpfCnJi7bZbmn7860eLldcrmuz+ZlJh/bPm6WZSXdz4zbjtsuqaVOttbcluSabfwvGMsc/Jd0Hc6tTMW+ldadP/kGSu2Y1lwpuXHO/1c/6xdbal1ZQR6pqd5K3p7tx9iPbBN9e0Vr7QpI/TnK/2uSrslfgD5Lcksnn1aI8pR/37Ekaz/M6VdWL0/1v0zNaawcab+H7hCnHH93uzulu/vnAJMe01t53gE3m+vzNWufY+NPupxY1/ilZ0X6qtfbR1tq7W2vntdaelO4bef5nVW31e36hc2qG8b9qlXNqnjrH+plpTi1g/FOyxDlVVd+S7uawv5rk81W1q6p2pTvz/+D+73faYvO559Sc44/2s9Q5tag6x8afeE4tePxTsuLjqdZ9U9hFSb5/m2ZLOxaecPyvWvXvvXlqHdt25t99c45/SpY7pzaOsd86tvxP++cHHWC7eY/NZx3/q1Z0bD53nWOmPTZf1PgrOzZPkqp6WJJ/l+7bkGcy53HnPOOfkuV+9l6a5JuSHN1ae1Nr7ZLW2gvS/S765aq6zxbbLTPb2JSQa7muSHL4JgevR/TPm97bpXWnyX40m0+2I5L8c9v8ZphLq+kADkq381nJ+P0p+qck+WBr7a8mLTJfm++ruEn6R9N9g8RW7+Esr/PU+lPr/yzdKamPatPdgHCVr9e4WvXYVfWNSZ6Y5KJJDjZGTP06VdUL053afFpr7ZUHar/ofcK0449sd6d0XxrxA0keu+zP36x1bjP+VPNpnvF3wH7qr9OdHr7pAd6Sf88ccPwNq55Tm5iozm3GX+r7NGpFc2pPkm9Od8B6/cjjB9PNlevTfbvSbSxoTs08/oYVzam569xm/KW+T6PWvJ86KN0/eja1gn3UtuNv2AH7qI1+DljrNtuubPwVzan3bzX8AfpY1LH5rON3jVZ3bD5XnQvYbu7xV3lsPuIp6c6GOmeGbcdrWNn4K/rsPTDdvbXHL+nd1/dz2GYbrWB/vumgHkt6JHlMul8Kjxtb/hfpJuB2274i3Y74HiPLDk13avpZ66hpi/5+pO/vOasaP1/7iuP/OkWdByW5NN09UKa6THCkj6kug0vyhiSfTHKXkWXfk27H9ewVjH+3JO9J9z8pBzy1fmzbu6S758Qsp8ou4nLFn+n7OGlV46f7xdCSPGGZr1O603pnucxpIfuEOcb/hiQX9jU8asptp/78zVrnFn1NtZ9axPjr2k/1/VS6A+jrkxyy7Dk1x/grnVOz1rmoOTXv+KuYU+n+N/eoTR5/m+Tv+z/fd1lzagHjr2ROzVvnvHNqUeOvYk5t0cc90h2bvO0A7Za1j5p0/LXuo6apdd45tajxVzGn0t2Q+zbHiEnOSPcP9e/YZtu5j83nHH9lx+bz1LlFf1Mdmy9i/Kzo2Hxk229Md+ne+dNuO9bPTJ+9ecZf0WfvHenOULvL2PL/3o99xDbbLmV/vuV4i+7Q41ZvZvWT4TPpUtn/kO5Uy1uSHDvS7pIkbWzbb0t3A733JHlcunDo//Q7xX+7pprem+6rqo9Jd63x8/oP4oeT7Fr2+CPrfj/d15R+2xbrfzHdTQif1H/gfyLJn/cfvqfO8Jr9WP94Wd/H8/q/Hz3S5qokV41td/90N/57e7od/ePTXcf8kSTftMzx0317zF+n+6X91HSnmY8+9oy0PSPdt3s9oX+9Tkl3w8mbR9+TJdX5HekCzp9L9wvh6L6eLyf5q0zxD89Z36eRdX/Rz8s7brF+7tcp3WVvLd3X5Y6/Jw9c9j5hzvHP67d9wSbb3m+Rn78561zEfmrm8UfWrWQ/le4moi9Jt395RN/Pn/b9PG0Fc2qe8Vc5p+apcxFzaubxVz2ntuj7kozd62lZc2rO8Vc2p+asc+45Nc/4q5xT/dx/Ubqvjz8qyalJPpbkC0mOXPZ8mnP8lc6nOWtd1H5qpvFXOaf6fi5Id3+0ZyR5VLr961eS/PZIm6uyvGPzqcfPeo7NZ6lzkcfmM71PI+uWfmw+1t9T+rl4m/u2LfOzN8/4q/zs5WsnElya7rPzqHQB179kJAjf4nVayvHBlrUuukOP20yGf5Pkt/o39Uv9G3v8WJtNJ2y6m7G/OV26+rl0B8Tfu66a0t0k98NJPt9P5o/0O5ZDV/iafFM//pu36f/Y/sP3z/2H/YZ0/1v+/7d3b7F2VHUcx78/KAnaFq2oRAhSQFQEL+iDD4YUpKIhJkBiiIkxKReDGFBIROKDsW8kqAkXUWO81EsQYjRcnriEVEoFTLACgopSj8pFEKEgLVUufx9mnbLZ7FPO2Xt3l02/n+RkTtf8z6z/nllnzuTfmTULPtm17dUcXzM9MTMMOEHTTTB8Y8t5E92bLvbf0f0Dy7fzcwWs7ok9BbiN7lnoZ+j+mFwDfGgCeS4Dftnan27j4R66C8qFTrw9ynE6uMVetJ3tj7yfZsf1PPKca/yPdE4Ypf+XGU9rxvn7N2KeI5+nxnCcJnaeAs7khYuEZ9vy2v7t7MAxNXT/Ex5To+Q5jjE16nGa+N++AXnNq3gy6pgapf9JjqkR8xzL9dSIx2kiY4ru7Xy/az/7DN213+XA4ZMYT6P0P+nxNGKu4zhPjXqsJvm3bzHdS2EeaJ/3Ly3/3XpiZthx1+YL7p+dc20+TJ7jvDYf5ThN5Nq8b3uzY3OPOda/ZOwzxvP5MP3vhN+9lXRF4odbn3fTvT1z8Tzy3CG1jUFfaR1KkiRJkiRJU8uJ5yVJkiRJkjT1LHJJkiRJkiRp6lnkkiRJkiRJ0tSzyCVJkiRJkqSpZ5FLkiRJkiRJU88ilyRJkiRJkqaeRS5JkqQFSrIqSSU5aoJ9rk0yM6n+JEmSpo1FLkmSpFeIVjw7e2fnIUmSNI0sckmSJL1yrAIsckmSJA3BIpckSdIuIMnuSV67s/OQJEnaUSxySZIkDW9RktVJ/pbkv0nuTPLJ3oAkxya5IsnGJE8n2ZTkuiQr+uJmgBXAAW2+rxo071eSfZP8LMnjSTYnuTbJ2/tiZucMW5nkK0nuA7YCJ/XEnJBkfZKn2tf6JMcP+pDzjU0y0+YOe2+SG1rsI0m+nmRRkj3b9w8k2ZrkpiSH9m1jz7ZP/5RkS9tfdyX52nwOiCRJ2nWlqnZ2DpIkSVMlySrgh8BvgcXAGqCAk4F3ACdX1ZoWexnwJmA9cD+wH3Aa8Bbg6Kpa1+JOAM4H3gic09Pd9VX1cJK1wGHAE8CtbXsHAl8ANgKHV9VzffndAewB/AR4EthQVbck+RxwKfBH4Ect91XAO4HTq+q7PZ91IbEzwLPAXsAVwN3AscCJwAUt/9cAV7bP+cW2Tw6tqufbNr4PnAL8GLgF2B04BDiyqj6wncMiSZJ2cRa5JEmSFqiniPR34D1V9URrfx1wJ7AU2K+qnk6yuKo29/38PnQFoN9U1XE97WuB5VW1fECfa+nu9Dqvqi7oaT+XroD0saq6ti+/e4EjqmpLT/wy4B/AP4H3V9WTrX0vYAPwZmD/qtq0kNjWPgMcAJxUVT/v6fN24AjgGuCEahegST4PXNSX+2PArb37RZIkaT58XFGSJGl4354tcAG0778DLAOOam3bClxJliTZG3gOuA344AL7ex64uK/txrY8ZI78tvS1fYTu7rOLZ4tWLc8ngUuAJcDKIWJnPdBb4GpuBgJcUi/+H9Z1A3J/AjgsyeEDPo8kSdKcLHJJkiQN7w8D2u5py4MAkhyc5PIkjwP/AR4F/gUcR1cMW4gHq2prX9u/23LvAfH3Dmg7sC3vHrDu92150BCxs/46IPbxOdbNtvfmfjbdfrkryX1Jvpfk+CRet0qSpO1atLMTkCRJmmKD5n3Itm+SJcBNdHdDXQjcRVfoeh74MvDhBfb33HbWZUBb/11cc8UtZJsvZ3s5zrVuWz9VdVWS5XRFwBV0d4qdCqxLsrKq/jdETpIkaRfg/4hJkiQN710D2mbfFrgROAbYFzinqlZX1S+q6rqquoGu8NVvEpOl3teWhw1YN/t5Ng4ROzZV9VhV/bSqPkN3p9gFwJHAwLc/SpIkgUUuSZKkUZzRJpsHtk08/1lgE/ArXrhz6UV3RCU5lsHzcT0FLEsyzB1U83U9sBk4K8nSnpyWAme1HK4fInZkSXZP8vretjaH14b2zzeMqy9JkvTq4+OKkiRJw3sUuC3JD+gKWScDbwVOq6otSW6mezPhN9ojePcD7wM+Tffo4rv7tncr8HHgm0l+TVcku7GqHhlXwu2tiV8CLm25r2mrVgFvA06fnUx/IbFjshR4KMnVdIWtR+jmBTuDbv6ua8bYlyRJepWxyCVJkjS88+geozsT2Af4M/CpqroMthWJPkr3uN1ZdNdet9PNN3UqLy1yXUj3eN4n6O4I2w04mq7YMzZV9a0kDwHnAl9tzXcAJ1bVlcPGjsEWun1wDN1cXEuAh4CrgfOr6sEx9ydJkl5F8uK3OEuSJEmSJEnTxzm5JEmSJEmSNPUsckmSJEmSJGnqWeSSJEmSJEnS1LPIJUmSJEmSpKlnkUuSJEmSJElTzyKXJEmSJEmSpp5FLkmSJEmSJE09i1ySJEmSJEmaeha5JEmSJEmSNPX+D+pPp4OiIJDWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "\n",
    "\n",
    "sb.countplot(x='bathrooms',data=df, palette='hls')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        1.00\n",
       "1        2.25\n",
       "2        1.00\n",
       "3        3.00\n",
       "4        2.00\n",
       "5        4.50\n",
       "6        2.25\n",
       "7        1.50\n",
       "8        1.00\n",
       "9        2.50\n",
       "10       2.50\n",
       "11       1.00\n",
       "12       1.00\n",
       "13       1.75\n",
       "14       2.00\n",
       "15       3.00\n",
       "16       2.00\n",
       "17       1.00\n",
       "18       1.00\n",
       "19       1.00\n",
       "20       1.75\n",
       "21       2.75\n",
       "22       2.50\n",
       "23       1.50\n",
       "24       2.25\n",
       "25       2.00\n",
       "26       1.75\n",
       "27       1.00\n",
       "28       1.75\n",
       "29       2.50\n",
       "         ... \n",
       "21583    1.00\n",
       "21584    2.50\n",
       "21585    2.50\n",
       "21586    2.50\n",
       "21587    2.50\n",
       "21588    1.50\n",
       "21589    2.50\n",
       "21590    3.50\n",
       "21591    2.75\n",
       "21592    2.25\n",
       "21593    3.75\n",
       "21594    2.75\n",
       "21595    2.25\n",
       "21596    2.75\n",
       "21597    3.25\n",
       "21598    2.50\n",
       "21599    3.00\n",
       "21600    3.75\n",
       "21601    2.50\n",
       "21602    1.75\n",
       "21603    2.50\n",
       "21604    2.00\n",
       "21605    2.50\n",
       "21606    3.50\n",
       "21607    2.50\n",
       "21608    2.50\n",
       "21609    2.50\n",
       "21610    0.75\n",
       "21611    2.50\n",
       "21612    0.75\n",
       "Name: bathrooms, Length: 21613, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['bathrooms']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['bathrooms'] = df['bathrooms'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10a312cf8>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.countplot(x='bathrooms',data=df, palette='hls')\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the data ready for the learning algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = ['bedrooms', 'bathrooms', 'sqft_living', 'sqft_lot', 'floors', 'waterfront', 'view', 'condition', 'grade','sqft_above', 'sqft_basement', 'yr_built','yr_renovated', 'sqft_living15', 'sqft_lot15']\n",
    "labels = df['price'].values\n",
    "features = df[list(columns)].values\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(features, labels, test_size=0.30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# let's try to use linear regression algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy in the training data:  0.659960926258\n",
      "Accuracy in the test data 0.644778326404\n"
     ]
    }
   ],
   "source": [
    "regr = linear_model.LinearRegression()\n",
    "\n",
    "regr.fit(X_train, y_train)\n",
    "\n",
    "Accuracy = regr.score(X_train, y_train)\n",
    "print (\"Accuracy in the training data: \", Accuracy)\n",
    "\n",
    "accuracy = regr.score(X_test, y_test)\n",
    "print (\"Accuracy in the test data\", accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**The coefficient R^2 is defined as (1 - u/v), where u is the residual sum of squares ((y_true - y_pred) ** 2).sum() and v is the total sum of squares ((y_true - y_true.mean()) ** 2).sum(). The best possible score is 1.0**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()\n",
    "\n",
    "scaler.fit(X_train)\n",
    "X_train = scaler.transform(X_train)\n",
    "# apply same transformation to test data\n",
    "X_test = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy in the training data:  0.659960926258\n",
      "Accuracy in the test data 0.644778326404\n"
     ]
    }
   ],
   "source": [
    "regr.fit(X_train, y_train)\n",
    "\n",
    "Accuracy = regr.score(X_train, y_train)\n",
    "print (\"Accuracy in the training data: \", Accuracy)\n",
    "\n",
    "accuracy = regr.score(X_test, y_test)\n",
    "print (\"Accuracy in the test data\", accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}