12-hafta.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d77a50be",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a2e6c26e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_house=pd.read_csv(\"resources/resources/housing.csv\") #1.adım verileri okuma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d332c560",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>ocean_proximity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-122.23</td>\n",
       "      <td>37.88</td>\n",
       "      <td>41.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-122.22</td>\n",
       "      <td>37.86</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7099.0</td>\n",
       "      <td>1106.0</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>1138.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>358500.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1467.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>352100.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>341300.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>342200.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "0    -122.23     37.88                41.0        880.0           129.0   \n",
       "1    -122.22     37.86                21.0       7099.0          1106.0   \n",
       "2    -122.24     37.85                52.0       1467.0           190.0   \n",
       "3    -122.25     37.85                52.0       1274.0           235.0   \n",
       "4    -122.25     37.85                52.0       1627.0           280.0   \n",
       "\n",
       "   population  households  median_income  median_house_value ocean_proximity  \n",
       "0       322.0       126.0         8.3252            452600.0        NEAR BAY  \n",
       "1      2401.0      1138.0         8.3014            358500.0        NEAR BAY  \n",
       "2       496.0       177.0         7.2574            352100.0        NEAR BAY  \n",
       "3       558.0       219.0         5.6431            341300.0        NEAR BAY  \n",
       "4       565.0       259.0         3.8462            342200.0        NEAR BAY  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_house.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f30d55d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 20640 entries, 0 to 20639\n",
      "Data columns (total 10 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   longitude           20640 non-null  float64\n",
      " 1   latitude            20640 non-null  float64\n",
      " 2   housing_median_age  20640 non-null  float64\n",
      " 3   total_rooms         20640 non-null  float64\n",
      " 4   total_bedrooms      20433 non-null  float64\n",
      " 5   population          20640 non-null  float64\n",
      " 6   households          20640 non-null  float64\n",
      " 7   median_income       20640 non-null  float64\n",
      " 8   median_house_value  20640 non-null  float64\n",
      " 9   ocean_proximity     20640 non-null  object \n",
      "dtypes: float64(9), object(1)\n",
      "memory usage: 1.6+ MB\n"
     ]
    }
   ],
   "source": [
    "#2.adım veri hakkında bilgi sahibi \n",
    "df_house.info()\n",
    "#4   total_bedrooms      20433 non-null  float64-->>  boşsa böyle de görebiliriz "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a77fd725",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "longitude               0\n",
       "latitude                0\n",
       "housing_median_age      0\n",
       "total_rooms             0\n",
       "total_bedrooms        207\n",
       "population              0\n",
       "households              0\n",
       "median_income           0\n",
       "median_house_value      0\n",
       "ocean_proximity         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#tüm alanlardaki veriler dolu mu\n",
    "df_house.isnull().sum()\n",
    "#total_bedrooms -> 207 tanesi boş"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "41be3474",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>ocean_proximity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>-122.16</td>\n",
       "      <td>37.77</td>\n",
       "      <td>47.0</td>\n",
       "      <td>1256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>570.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>4.3750</td>\n",
       "      <td>161900.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>-122.17</td>\n",
       "      <td>37.75</td>\n",
       "      <td>38.0</td>\n",
       "      <td>992.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>732.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>1.6196</td>\n",
       "      <td>85100.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>-122.28</td>\n",
       "      <td>37.78</td>\n",
       "      <td>29.0</td>\n",
       "      <td>5154.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3741.0</td>\n",
       "      <td>1273.0</td>\n",
       "      <td>2.5762</td>\n",
       "      <td>173400.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.75</td>\n",
       "      <td>45.0</td>\n",
       "      <td>891.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>384.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>4.9489</td>\n",
       "      <td>247100.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>-122.10</td>\n",
       "      <td>37.69</td>\n",
       "      <td>41.0</td>\n",
       "      <td>746.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>387.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>3.9063</td>\n",
       "      <td>178400.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20267</th>\n",
       "      <td>-119.19</td>\n",
       "      <td>34.20</td>\n",
       "      <td>18.0</td>\n",
       "      <td>3620.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3171.0</td>\n",
       "      <td>779.0</td>\n",
       "      <td>3.3409</td>\n",
       "      <td>220500.0</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20268</th>\n",
       "      <td>-119.18</td>\n",
       "      <td>34.19</td>\n",
       "      <td>19.0</td>\n",
       "      <td>2393.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1938.0</td>\n",
       "      <td>762.0</td>\n",
       "      <td>1.6953</td>\n",
       "      <td>167400.0</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20372</th>\n",
       "      <td>-118.88</td>\n",
       "      <td>34.17</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4260.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1701.0</td>\n",
       "      <td>669.0</td>\n",
       "      <td>5.1033</td>\n",
       "      <td>410700.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20460</th>\n",
       "      <td>-118.75</td>\n",
       "      <td>34.29</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5512.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2734.0</td>\n",
       "      <td>814.0</td>\n",
       "      <td>6.6073</td>\n",
       "      <td>258100.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20484</th>\n",
       "      <td>-118.72</td>\n",
       "      <td>34.28</td>\n",
       "      <td>17.0</td>\n",
       "      <td>3051.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1705.0</td>\n",
       "      <td>495.0</td>\n",
       "      <td>5.7376</td>\n",
       "      <td>218600.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>207 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "290      -122.16     37.77                47.0       1256.0             NaN   \n",
       "341      -122.17     37.75                38.0        992.0             NaN   \n",
       "538      -122.28     37.78                29.0       5154.0             NaN   \n",
       "563      -122.24     37.75                45.0        891.0             NaN   \n",
       "696      -122.10     37.69                41.0        746.0             NaN   \n",
       "...          ...       ...                 ...          ...             ...   \n",
       "20267    -119.19     34.20                18.0       3620.0             NaN   \n",
       "20268    -119.18     34.19                19.0       2393.0             NaN   \n",
       "20372    -118.88     34.17                15.0       4260.0             NaN   \n",
       "20460    -118.75     34.29                17.0       5512.0             NaN   \n",
       "20484    -118.72     34.28                17.0       3051.0             NaN   \n",
       "\n",
       "       population  households  median_income  median_house_value  \\\n",
       "290         570.0       218.0         4.3750            161900.0   \n",
       "341         732.0       259.0         1.6196             85100.0   \n",
       "538        3741.0      1273.0         2.5762            173400.0   \n",
       "563         384.0       146.0         4.9489            247100.0   \n",
       "696         387.0       161.0         3.9063            178400.0   \n",
       "...           ...         ...            ...                 ...   \n",
       "20267      3171.0       779.0         3.3409            220500.0   \n",
       "20268      1938.0       762.0         1.6953            167400.0   \n",
       "20372      1701.0       669.0         5.1033            410700.0   \n",
       "20460      2734.0       814.0         6.6073            258100.0   \n",
       "20484      1705.0       495.0         5.7376            218600.0   \n",
       "\n",
       "      ocean_proximity  \n",
       "290          NEAR BAY  \n",
       "341          NEAR BAY  \n",
       "538          NEAR BAY  \n",
       "563          NEAR BAY  \n",
       "696          NEAR BAY  \n",
       "...               ...  \n",
       "20267      NEAR OCEAN  \n",
       "20268      NEAR OCEAN  \n",
       "20372       <1H OCEAN  \n",
       "20460       <1H OCEAN  \n",
       "20484       <1H OCEAN  \n",
       "\n",
       "[207 rows x 10 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_house[df_house[\"total_bedrooms\"].isnull()] #hangi kayıtlar boş,onları gösterdi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ab19dd85",
   "metadata": {},
   "outputs": [],
   "source": [
    "#3.adım Eğer null kayıtlar varsa,bunlara nasıl davranılacağı karar verilir.\n",
    "# a ortalama\n",
    "# b median\n",
    "# c linear interpolation;\n",
    "#Sözelse en çok tekrar eden veriyle doldur\n",
    "#veri miktarı çoksa sil gitsin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a8154376",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(537.8705525375618, 435.0)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_house[\"total_bedrooms\"].mean(), df_house[\"total_bedrooms\"].median() #ortalama ve medyan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b73ec701",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b5d7bc21",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1.5304e+04, 4.1460e+03, 6.8200e+02, 1.7700e+02, 7.0000e+01,\n",
       "        2.3000e+01, 1.8000e+01, 8.0000e+00, 3.0000e+00, 2.0000e+00]),\n",
       " array([1.0000e+00, 6.4540e+02, 1.2898e+03, 1.9342e+03, 2.5786e+03,\n",
       "        3.2230e+03, 3.8674e+03, 4.5118e+03, 5.1562e+03, 5.8006e+03,\n",
       "        6.4450e+03]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df_house[\"total_bedrooms\"]) #histogramını çizdik\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "34d10a79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_house.plot(y=\"total_bedrooms\")\n",
    "#x ekseni kaç tane değer var \n",
    "#y ekseni değerleri gösteriyo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f1a2632f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>longitude</th>\n",
       "      <td>20640.0</td>\n",
       "      <td>-119.569704</td>\n",
       "      <td>2.003532</td>\n",
       "      <td>-124.3500</td>\n",
       "      <td>-121.8000</td>\n",
       "      <td>-118.4900</td>\n",
       "      <td>-118.01000</td>\n",
       "      <td>-114.3100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>latitude</th>\n",
       "      <td>20640.0</td>\n",
       "      <td>35.631861</td>\n",
       "      <td>2.135952</td>\n",
       "      <td>32.5400</td>\n",
       "      <td>33.9300</td>\n",
       "      <td>34.2600</td>\n",
       "      <td>37.71000</td>\n",
       "      <td>41.9500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>housing_median_age</th>\n",
       "      <td>20640.0</td>\n",
       "      <td>28.639486</td>\n",
       "      <td>12.585558</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>37.00000</td>\n",
       "      <td>52.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_rooms</th>\n",
       "      <td>20640.0</td>\n",
       "      <td>2635.763081</td>\n",
       "      <td>2181.615252</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>1447.7500</td>\n",
       "      <td>2127.0000</td>\n",
       "      <td>3148.00000</td>\n",
       "      <td>39320.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_bedrooms</th>\n",
       "      <td>20433.0</td>\n",
       "      <td>537.870553</td>\n",
       "      <td>421.385070</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>296.0000</td>\n",
       "      <td>435.0000</td>\n",
       "      <td>647.00000</td>\n",
       "      <td>6445.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>population</th>\n",
       "      <td>20640.0</td>\n",
       "      <td>1425.476744</td>\n",
       "      <td>1132.462122</td>\n",
       "      <td>3.0000</td>\n",
       "      <td>787.0000</td>\n",
       "      <td>1166.0000</td>\n",
       "      <td>1725.00000</td>\n",
       "      <td>35682.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>households</th>\n",
       "      <td>20640.0</td>\n",
       "      <td>499.539680</td>\n",
       "      <td>382.329753</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>280.0000</td>\n",
       "      <td>409.0000</td>\n",
       "      <td>605.00000</td>\n",
       "      <td>6082.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>median_income</th>\n",
       "      <td>20640.0</td>\n",
       "      <td>3.870671</td>\n",
       "      <td>1.899822</td>\n",
       "      <td>0.4999</td>\n",
       "      <td>2.5634</td>\n",
       "      <td>3.5348</td>\n",
       "      <td>4.74325</td>\n",
       "      <td>15.0001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>median_house_value</th>\n",
       "      <td>20640.0</td>\n",
       "      <td>206855.816909</td>\n",
       "      <td>115395.615874</td>\n",
       "      <td>14999.0000</td>\n",
       "      <td>119600.0000</td>\n",
       "      <td>179700.0000</td>\n",
       "      <td>264725.00000</td>\n",
       "      <td>500001.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      count           mean            std         min  \\\n",
       "longitude           20640.0    -119.569704       2.003532   -124.3500   \n",
       "latitude            20640.0      35.631861       2.135952     32.5400   \n",
       "housing_median_age  20640.0      28.639486      12.585558      1.0000   \n",
       "total_rooms         20640.0    2635.763081    2181.615252      2.0000   \n",
       "total_bedrooms      20433.0     537.870553     421.385070      1.0000   \n",
       "population          20640.0    1425.476744    1132.462122      3.0000   \n",
       "households          20640.0     499.539680     382.329753      1.0000   \n",
       "median_income       20640.0       3.870671       1.899822      0.4999   \n",
       "median_house_value  20640.0  206855.816909  115395.615874  14999.0000   \n",
       "\n",
       "                            25%          50%           75%          max  \n",
       "longitude             -121.8000    -118.4900    -118.01000    -114.3100  \n",
       "latitude                33.9300      34.2600      37.71000      41.9500  \n",
       "housing_median_age      18.0000      29.0000      37.00000      52.0000  \n",
       "total_rooms           1447.7500    2127.0000    3148.00000   39320.0000  \n",
       "total_bedrooms         296.0000     435.0000     647.00000    6445.0000  \n",
       "population             787.0000    1166.0000    1725.00000   35682.0000  \n",
       "households             280.0000     409.0000     605.00000    6082.0000  \n",
       "median_income            2.5634       3.5348       4.74325      15.0001  \n",
       "median_house_value  119600.0000  179700.0000  264725.00000  500001.0000  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_house.describe().T #Lineer interpolasyon kullanmak daha mantıklıdır çünü min max aralığı çok fazla"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a3b41c87",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "14b4a516",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='total_bedrooms', ylabel='Count'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(data=df_house,x=\"total_bedrooms\",kde=True) #kde=True dağılım grafiğini de çizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fc14855e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='total_bedrooms', ylabel='Count'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(data=df_house,x=\"total_bedrooms\",kde=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "12702dcb",
   "metadata": {},
   "outputs": [],
   "source": [
    " df_house.dropna(inplace=True) #boş olan kayıtları sildik"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bfaf163e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>ocean_proximity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [longitude, latitude, housing_median_age, total_rooms, total_bedrooms, population, households, median_income, median_house_value, ocean_proximity]\n",
       "Index: []"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_house[df_house[\"total_bedrooms\"].isnull()] #nan alan var mı dedik yok dedi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "076d5e9c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 20433 entries, 0 to 20639\n",
      "Data columns (total 10 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   longitude           20433 non-null  float64\n",
      " 1   latitude            20433 non-null  float64\n",
      " 2   housing_median_age  20433 non-null  float64\n",
      " 3   total_rooms         20433 non-null  float64\n",
      " 4   total_bedrooms      20433 non-null  float64\n",
      " 5   population          20433 non-null  float64\n",
      " 6   households          20433 non-null  float64\n",
      " 7   median_income       20433 non-null  float64\n",
      " 8   median_house_value  20433 non-null  float64\n",
      " 9   ocean_proximity     20433 non-null  object \n",
      "dtypes: float64(9), object(1)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df_house.info() #silme başarılı 20433 kayıt kaldı"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f2f3b0d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Genelde elimizde veriler varsa veriler şöyle düşünülür:\n",
    "#1-Giriş değişkeni     2-Çıkış değişkeni  ->> girişler çıkışı tahmin etmek için kullandığımız değişkenlerdir\n",
    "#input                 output\n",
    "#independent           dependent  -> bağımlı bağımsız değişkeni\n",
    "# X-> girişler         y->çıkışlar ı gösterir\n",
    "#genelde çıkkış değişkeni en sonda görülür tabloda\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f5a73dfc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['longitude', 'latitude', 'housing_median_age', 'total_rooms',\n",
       "       'total_bedrooms', 'population', 'households', 'median_income',\n",
       "       'median_house_value', 'ocean_proximity'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_house.columns #columnları gördük"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "74023b8b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#median_house_value yu en sağa taşı "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "59b1e66b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>ocean_proximity</th>\n",
       "      <th>median_house_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-122.23</td>\n",
       "      <td>37.88</td>\n",
       "      <td>41.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>452600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-122.22</td>\n",
       "      <td>37.86</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7099.0</td>\n",
       "      <td>1106.0</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>1138.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>358500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1467.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>352100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>341300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>342200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20635</th>\n",
       "      <td>-121.09</td>\n",
       "      <td>39.48</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1665.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>845.0</td>\n",
       "      <td>330.0</td>\n",
       "      <td>1.5603</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>78100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20636</th>\n",
       "      <td>-121.21</td>\n",
       "      <td>39.49</td>\n",
       "      <td>18.0</td>\n",
       "      <td>697.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>356.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>2.5568</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>77100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20637</th>\n",
       "      <td>-121.22</td>\n",
       "      <td>39.43</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2254.0</td>\n",
       "      <td>485.0</td>\n",
       "      <td>1007.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>1.7000</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>92300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20638</th>\n",
       "      <td>-121.32</td>\n",
       "      <td>39.43</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1860.0</td>\n",
       "      <td>409.0</td>\n",
       "      <td>741.0</td>\n",
       "      <td>349.0</td>\n",
       "      <td>1.8672</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>84700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20639</th>\n",
       "      <td>-121.24</td>\n",
       "      <td>39.37</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2785.0</td>\n",
       "      <td>616.0</td>\n",
       "      <td>1387.0</td>\n",
       "      <td>530.0</td>\n",
       "      <td>2.3886</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>89400.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20433 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "0        -122.23     37.88                41.0        880.0           129.0   \n",
       "1        -122.22     37.86                21.0       7099.0          1106.0   \n",
       "2        -122.24     37.85                52.0       1467.0           190.0   \n",
       "3        -122.25     37.85                52.0       1274.0           235.0   \n",
       "4        -122.25     37.85                52.0       1627.0           280.0   \n",
       "...          ...       ...                 ...          ...             ...   \n",
       "20635    -121.09     39.48                25.0       1665.0           374.0   \n",
       "20636    -121.21     39.49                18.0        697.0           150.0   \n",
       "20637    -121.22     39.43                17.0       2254.0           485.0   \n",
       "20638    -121.32     39.43                18.0       1860.0           409.0   \n",
       "20639    -121.24     39.37                16.0       2785.0           616.0   \n",
       "\n",
       "       population  households  median_income ocean_proximity  \\\n",
       "0           322.0       126.0         8.3252        NEAR BAY   \n",
       "1          2401.0      1138.0         8.3014        NEAR BAY   \n",
       "2           496.0       177.0         7.2574        NEAR BAY   \n",
       "3           558.0       219.0         5.6431        NEAR BAY   \n",
       "4           565.0       259.0         3.8462        NEAR BAY   \n",
       "...           ...         ...            ...             ...   \n",
       "20635       845.0       330.0         1.5603          INLAND   \n",
       "20636       356.0       114.0         2.5568          INLAND   \n",
       "20637      1007.0       433.0         1.7000          INLAND   \n",
       "20638       741.0       349.0         1.8672          INLAND   \n",
       "20639      1387.0       530.0         2.3886          INLAND   \n",
       "\n",
       "       median_house_value  \n",
       "0                452600.0  \n",
       "1                358500.0  \n",
       "2                352100.0  \n",
       "3                341300.0  \n",
       "4                342200.0  \n",
       "...                   ...  \n",
       "20635             78100.0  \n",
       "20636             77100.0  \n",
       "20637             92300.0  \n",
       "20638             84700.0  \n",
       "20639             89400.0  \n",
       "\n",
       "[20433 rows x 10 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#exceldeki cut past işlemi\n",
    "df_X=df_house.drop(\"median_house_value\",axis=1) #median_house_value yu dropladı geri kalanları df_X(giriş) e kopyaladı\n",
    "df_y=df_house[\"median_house_value\"] #median_house_value yu direkt eşitledi\n",
    "df_house=df_X.join(df_y) #join işlemi yapıp df_x in son satırına df_y yi taşıdı ve df_house diye yeni bir dataframe e atadı\n",
    "df_house"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8505d67a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>longitude</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.924616</td>\n",
       "      <td>-0.109357</td>\n",
       "      <td>0.045480</td>\n",
       "      <td>0.069608</td>\n",
       "      <td>0.100270</td>\n",
       "      <td>0.056513</td>\n",
       "      <td>-0.015550</td>\n",
       "      <td>-0.045398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>latitude</th>\n",
       "      <td>-0.924616</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.011899</td>\n",
       "      <td>-0.036667</td>\n",
       "      <td>-0.066983</td>\n",
       "      <td>-0.108997</td>\n",
       "      <td>-0.071774</td>\n",
       "      <td>-0.079626</td>\n",
       "      <td>-0.144638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>housing_median_age</th>\n",
       "      <td>-0.109357</td>\n",
       "      <td>0.011899</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.360628</td>\n",
       "      <td>-0.320451</td>\n",
       "      <td>-0.295787</td>\n",
       "      <td>-0.302768</td>\n",
       "      <td>-0.118278</td>\n",
       "      <td>0.106432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_rooms</th>\n",
       "      <td>0.045480</td>\n",
       "      <td>-0.036667</td>\n",
       "      <td>-0.360628</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.930380</td>\n",
       "      <td>0.857281</td>\n",
       "      <td>0.918992</td>\n",
       "      <td>0.197882</td>\n",
       "      <td>0.133294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_bedrooms</th>\n",
       "      <td>0.069608</td>\n",
       "      <td>-0.066983</td>\n",
       "      <td>-0.320451</td>\n",
       "      <td>0.930380</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.877747</td>\n",
       "      <td>0.979728</td>\n",
       "      <td>-0.007723</td>\n",
       "      <td>0.049686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>population</th>\n",
       "      <td>0.100270</td>\n",
       "      <td>-0.108997</td>\n",
       "      <td>-0.295787</td>\n",
       "      <td>0.857281</td>\n",
       "      <td>0.877747</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.907186</td>\n",
       "      <td>0.005087</td>\n",
       "      <td>-0.025300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>households</th>\n",
       "      <td>0.056513</td>\n",
       "      <td>-0.071774</td>\n",
       "      <td>-0.302768</td>\n",
       "      <td>0.918992</td>\n",
       "      <td>0.979728</td>\n",
       "      <td>0.907186</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.013434</td>\n",
       "      <td>0.064894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>median_income</th>\n",
       "      <td>-0.015550</td>\n",
       "      <td>-0.079626</td>\n",
       "      <td>-0.118278</td>\n",
       "      <td>0.197882</td>\n",
       "      <td>-0.007723</td>\n",
       "      <td>0.005087</td>\n",
       "      <td>0.013434</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.688355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>median_house_value</th>\n",
       "      <td>-0.045398</td>\n",
       "      <td>-0.144638</td>\n",
       "      <td>0.106432</td>\n",
       "      <td>0.133294</td>\n",
       "      <td>0.049686</td>\n",
       "      <td>-0.025300</td>\n",
       "      <td>0.064894</td>\n",
       "      <td>0.688355</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    longitude  latitude  housing_median_age  total_rooms  \\\n",
       "longitude            1.000000 -0.924616           -0.109357     0.045480   \n",
       "latitude            -0.924616  1.000000            0.011899    -0.036667   \n",
       "housing_median_age  -0.109357  0.011899            1.000000    -0.360628   \n",
       "total_rooms          0.045480 -0.036667           -0.360628     1.000000   \n",
       "total_bedrooms       0.069608 -0.066983           -0.320451     0.930380   \n",
       "population           0.100270 -0.108997           -0.295787     0.857281   \n",
       "households           0.056513 -0.071774           -0.302768     0.918992   \n",
       "median_income       -0.015550 -0.079626           -0.118278     0.197882   \n",
       "median_house_value  -0.045398 -0.144638            0.106432     0.133294   \n",
       "\n",
       "                    total_bedrooms  population  households  median_income  \\\n",
       "longitude                 0.069608    0.100270    0.056513      -0.015550   \n",
       "latitude                 -0.066983   -0.108997   -0.071774      -0.079626   \n",
       "housing_median_age       -0.320451   -0.295787   -0.302768      -0.118278   \n",
       "total_rooms               0.930380    0.857281    0.918992       0.197882   \n",
       "total_bedrooms            1.000000    0.877747    0.979728      -0.007723   \n",
       "population                0.877747    1.000000    0.907186       0.005087   \n",
       "households                0.979728    0.907186    1.000000       0.013434   \n",
       "median_income            -0.007723    0.005087    0.013434       1.000000   \n",
       "median_house_value        0.049686   -0.025300    0.064894       0.688355   \n",
       "\n",
       "                    median_house_value  \n",
       "longitude                    -0.045398  \n",
       "latitude                     -0.144638  \n",
       "housing_median_age            0.106432  \n",
       "total_rooms                   0.133294  \n",
       "total_bedrooms                0.049686  \n",
       "population                   -0.025300  \n",
       "households                    0.064894  \n",
       "median_income                 0.688355  \n",
       "median_house_value            1.000000  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#korelasyon -1e yakınlaştıkça biri artarken diğeri azalır\n",
    "#1e yaklaştıkça doğru orantı var ikiside aynı anda artar ya da azalır \n",
    "#0 sa korelasyon ilişki yok\n",
    "df_house.corr() #korelasyon tablosunu verir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6fe0af14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,8)) #iç içe geçmesin diye düzenledik\n",
    "sns.heatmap(df_house.corr(),annot=True,cmap=\"YlGnBu\") #korelasyon tablosu\n",
    "#annot True ile üzerinde değerleri de gösterir.\n",
    "#heatmap->sıcaklık haritası\n",
    "#cmap le harita rengini değiştirebiliriz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "2988069d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#giriş değişkenleri kendi arasında yüksek korelasyona sahip olmamalı. Yüksek korelasyon->>+1 e yakın\n",
    "#+1 e yakın olursa çoklu doğrusal bağlantı problemi. Böyle bi durum varsa iki değişkenden birini kullansak yeter.\n",
    "#Düşük korelasyon ->> -1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "89127ed1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'longitude'}>,\n",
       "        <AxesSubplot:title={'center':'latitude'}>,\n",
       "        <AxesSubplot:title={'center':'housing_median_age'}>],\n",
       "       [<AxesSubplot:title={'center':'total_rooms'}>,\n",
       "        <AxesSubplot:title={'center':'total_bedrooms'}>,\n",
       "        <AxesSubplot:title={'center':'population'}>],\n",
       "       [<AxesSubplot:title={'center':'households'}>,\n",
       "        <AxesSubplot:title={'center':'median_income'}>,\n",
       "        <AxesSubplot:title={'center':'median_house_value'}>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x800 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_house.hist(figsize=(14,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a182f26a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np #log direkt ln alır. numpy ı log alabilmek için kullandık\n",
    "df_house[\"total_rooms\"]=np.log(df_house[\"total_rooms\"])+1\n",
    "df_house[\"total_bedrooms\"]=np.log(df_house[\"total_bedrooms\"])+1\n",
    "df_house[\"population\"]=np.log(df_house[\"population\"])+1\n",
    "df_house[\"households\"]=np.log(df_house[\"households\"])+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6556aae4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'longitude'}>,\n",
       "        <AxesSubplot:title={'center':'latitude'}>,\n",
       "        <AxesSubplot:title={'center':'housing_median_age'}>],\n",
       "       [<AxesSubplot:title={'center':'total_rooms'}>,\n",
       "        <AxesSubplot:title={'center':'total_bedrooms'}>,\n",
       "        <AxesSubplot:title={'center':'population'}>],\n",
       "       [<AxesSubplot:title={'center':'households'}>,\n",
       "        <AxesSubplot:title={'center':'median_income'}>,\n",
       "        <AxesSubplot:title={'center':'median_house_value'}>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Ww8PD8eCDD2LevHm4cuUKgoKC8O9//xubN2/WW9/777+P+++/Hw888ABeeukl9OrVC5cvX8Yvv/yCHTt2SNcQISIytbCwMERERGD+/PmoqKjAfffdJ90NbeDAgYiNjZViY2NjsWTJErz++usIDQ3FsWPHkJ6eDoVCobPM4OBgREZGYsCAAejSpQuOHz+OzZs3IyQkBC4uLm3u8+LFi7Fjxw6MHDkSixcvhrOzMz744APpVvXmPJ2ppe/pDRkj6jNk7DMWd3d3PPjgg3jnnXek8TAvLw/r169H586ddWJbuj969eqFpUuXYvHixfjvf/+L0aNHo0uXLjh//jwOHjwozUgjE7Hs9bWJmtbQlf0/+ugjMWDAAOHo6CgUCoUYN26cOHr0qM7rJk+eLFxdXfWW19BdFM6cOSPGjx8vbrnlFuHm5iYef/xxsXPnzkbvFHCzU6dOifDwcOHm5iYA6Nz95sSJEyI8PFy4u7uLbt26iZkzZ4qvvvpK525oQty4O0FycrLw8/MTjo6OYsCAAWLHjh16d94RQojKykrx2muvib59+0r59+/fX8yePVuo1eoWblUiIttWf+w4duyYCAsLE25ubqJLly7iySefFGfOnGnwLj0LFy4Uvr6+olOnTjrH64aOybt37xYDBw4UcrlcANC5s8/OnTvFPffcI5ydncVtt90m0tPTGxxHLl26JJ577jnRuXNn4eLiIsLCwsRPP/3UYN9OnjwpnnvuOdG9e3fh4OAgunXrJoYNGyaWLVtmhK1GRPS/97s336VKCP3jalVVlZg/f77o2bOncHBwED4+PuKll14SZWVlOq/TaDRi3rx5ws/PTzg7O4vQ0FBRXFysdze0BQsWiKCgINGlSxchl8vFbbfdJmbPni3+/PNPvb7drGfPnmLMmDF6eTR0zP6///s/ERwcLORyuVAqleLVV18Vy5cvFwDEpUuX2ryNGvv8ERoaKvr166fT1tL39C0dIxr6zNTSsa+l+7wlzp49Kx5//HHRpUsX4ebmJkaPHi2OHDmit7+FMGx/fP7552LEiBHC3d1dyOVy0bNnT/HEE0+I3bt3t7hvZDiZEEKYsTZFZBWSkpLw2muv4cyZM+jRo4elu0NEREREREYWHh6OU6dO4cSJE5buCoH7o73haWjU4aWnpwO4MV1Tq9Xi22+/xd/+9jdMnDiRhSIiIiIiIhuQkJCAgQMHws/PD3/99Re2bNmC3NxcrF+/3tJd65C4P9o/Fouow3NxccHKlStx6tQpaDQa3HrrrZg/fz5ee+01S3eNiIiIiIiMoKamBq+//jrUajVkMhnuuusubN68GRMnTgRw4wLLtbW1TS7D3r5jfnw2xbZpbn+Q5fE0NCIiIiIiIurQVCpVsxdLPnnyZIe8A/GUKVOwadOmJmNYVrA9LBYRERERERFRh/bHH3/gjz/+aDJmwIABcHR0NFOP2o9Tp07p3Oa+IbyNve1hsYiIiIiIiIiIiCSdLN0BIiIiIiIiIiJqP2z2Cl21tbX4448/4ObmBplMZunuEBE1SwiBy5cvw9fXF506sZZvKhwfiMiacGwwH44PRGRNTD0+2Gyx6I8//oCfn5+lu0FEZLDffvsNPXr0sHQ3bBbHByKyRhwbTI/jAxFZI1ONDzZbLHJzcwNwY8O5u7sbddlarRY5OTkIDw+Hg4ODUZdtaczN+thqXoDt5tZYXhUVFfDz85OOX2Qaphwf2gNb/bupr6PkCXScXJlnwzg2mE9z44Ot/o4yL+thizkBzKu1TD0+2GyxqG7qqLu7u0mKRS4uLnB3d7epX2aAuVkjW80LsN3cmsuLU99Ny5TjQ3tgq3839XWUPIGOkyvzbBrHBtNrbnyw1d9R5mU9bDEngHm1lanGB574TEREREREREREEhaLiIiIiIiIiIhIwmIRERERERERERFJWCwiIiIiIiIiIiIJi0VERERERERERCQx+G5ov//+O+bPn49du3ahqqoKffr0wfr16zFo0CAAgBACiYmJWLt2LcrKyhAcHIxVq1ahX79+0jI0Gg3mzp2Lbdu2oaqqCiNHjsTq1avRo0cPKaasrAyzZs3C9u3bAQBRUVFIS0tD586d25gykXXpteCrJp+X2wmkDAECVV9DU9P2K+GfentMm5dBRG3X3N9+Y1p7TODfPhERkW1o7XuI1uD7B9tl0MyisrIy3HfffXBwcMCuXbtw7NgxvPfeezoFnJSUFKxYsQLp6ekoLCyEUqlEWFgYLl++LMXEx8cjKysLmZmZ2LdvHyorKxEZGYmamhopJiYmBsXFxcjOzkZ2djaKi4sRGxvb9oyJiIiIiIiIiKhRBs0sWr58Ofz8/LBhwwaprVevXtL/hRBITU3F4sWLMX78eADApk2b4O3tja1btyIuLg7l5eVYv349Nm/ejFGjRgEAMjIy4Ofnh927dyMiIgLHjx9HdnY29u/fj+DgYADAunXrEBISgpKSEvTt27eteRMRERERERERUQMMKhZt374dERERePLJJ5GXl4fu3btj+vTpmDZtGgDg5MmTUKvVCA8Pl14jl8sRGhqK/Px8xMXFoaioCFqtVifG19cXgYGByM/PR0REBAoKCqBQKKRCEQAMHToUCoUC+fn5DRaLNBoNNBqN9LiiogIAoNVqodVqDUmzWXXLM/Zy2wPm1v7I7UTTz3cSOv+2VXvaPta6z5rTWF62licREREREVkng4pF//3vf7FmzRokJCRg0aJFOHjwIGbNmgW5XI5JkyZBrVYDALy9vXVe5+3tjdOnTwMA1Go1HB0d0aVLF72Yuter1Wp4eXnprd/Ly0uKqS85ORmJiYl67Tk5OXBxcTEkzRbLzc01yXLbA+bWfqQMaVncm0G1Rlnfzp07jbIcY7K2fdZS9fO6evWqhXpCRERERET0PwYVi2praxEUFISkpCQAwMCBA3H06FGsWbMGkyZNkuJkMt0Lagoh9Nrqqx/TUHxTy1m4cCESEhKkxxUVFfDz80N4eDjc3d2bT84AWq0Wubm5CAsLg4ODg1GXbWnMrf0JVH3d5PPyTgJvBtViyaFO0NS2/QLXR1QRbV6GsVjrPmtOY3nVzYgkIiIiIiKyJIOKRT4+Prjrrrt02gICAvDpp58CAJRKJYAbM4N8fHykmNLSUmm2kVKpRHV1NcrKynRmF5WWlmLYsGFSzPnz5/XWf+HCBb1ZS3Xkcjnkcrleu4ODg8k+ZJpy2ZbG3NqPlt7NSFMrM8rd0NrjtrG2fdZS9fOyxRyJiIiIiMj6GHQ3tPvuuw8lJSU6bSdOnEDPnj0BAP7+/lAqlTqnVlRXVyMvL08qBA0aNAgODg46MefOncORI0ekmJCQEJSXl+PgwYNSzIEDB1BeXi7FEBERERERERGR8Rk0s2j27NkYNmwYkpKSEB0djYMHD2Lt2rVYu3YtgBunjsXHxyMpKQm9e/dG7969kZSUBBcXF8TExAAAFAoFpk6dijlz5sDT0xMeHh6YO3cu+vfvL90dLSAgAKNHj8a0adPw4YcfAgBeeOEFREZG8k5oREREREREREQmZFCxaPDgwcjKysLChQuxdOlS+Pv7IzU1Fc8884wUM2/ePFRVVWH69OkoKytDcHAwcnJy4ObmJsWsXLkS9vb2iI6ORlVVFUaOHImNGzfCzs5OitmyZQtmzZol3TUtKioK6enpbc2XiIiIiIiIiIiaYFCxCAAiIyMRGRnZ6PMymQwqlQoqlarRGCcnJ6SlpSEtLa3RGA8PD2RkZBjaPSIiIiIiIiIiagODrllERERERERERES2jcUiIiJqs+vXr+O1116Dv78/nJ2dcdttt2Hp0qWora2VYoQQUKlU8PX1hbOzM4YPH46jR4/qLEej0WDmzJno2rUrXF1dERUVhbNnz+rElJWVITY2FgqFAgqFArGxsbh06ZI50iQiIiIi6hBYLCIiojZbvnw5PvjgA6Snp+P48eNISUnBO++8o3O6cUpKClasWIH09HQUFhZCqVQiLCwMly9flmLi4+ORlZWFzMxM7Nu3D5WVlYiMjERNTY0UExMTg+LiYmRnZyM7OxvFxcWIjY01a75ERERERLbM4GsWERER1VdQUIBx48ZhzJgxAIBevXph27ZtOHToEIAbs4pSU1OxePFijB8/HgCwadMmeHt7Y+vWrYiLi0N5eTnWr1+PzZs3S3fHzMjIgJ+fH3bv3o2IiAgcP34c2dnZ2L9/P4KDgwEA69atQ0hICEpKSnjHTCIiIiIiI+DMIiIiarP7778f33zzDU6cOAEA+OGHH7Bv3z488sgjAICTJ09CrVZLd7gEALlcjtDQUOTn5wMAioqKoNVqdWJ8fX0RGBgoxRQUFEChUEiFIgAYOnQoFAqFFENERERERG3DmUVERNRm8+fPR3l5Oe68807Y2dmhpqYGb731FiZMmAAAUKvVAABvb2+d13l7e+P06dNSjKOjI7p06aIXU/d6tVoNLy8vvfV7eXlJMfVpNBpoNBrpcUVFBQBAq9VCq9W2Jl2zkNuJ1r2uk9D5t6Xa87ZoSF1/ra3frdFRcmWeTccTERGZE4tFRETUZp988gkyMjKwdetW9OvXD8XFxYiPj4evry8mT54sxclkMp3XCSH02uqrH9NQfFPLSU5ORmJiol57Tk4OXFxcmly3JaUMadvr3wyqbT7oJjt37mzbCi0kNzfX0l0wm46SK/PUdfXqVRP3hIiISB+LRURE1GavvvoqFixYgKeffhoA0L9/f5w+fRrJycmYPHkylEolgBszg3x8fKTXlZaWSrONlEolqqurUVZWpjO7qLS0FMOGDZNizp8/r7f+Cxcu6M1aqrNw4UIkJCRIjysqKuDn54fw8HC4u7u3MXPTCVR93arXyTsJvBlUiyWHOkFT23Qh7mZHVBGtWp+laLVa5ObmIiwsDA4ODpbujkl1lFyZZ8PqZkMSERGZE4tFRETUZlevXkWnTrqXwbOzs0Nt7Y3ZLf7+/lAqlcjNzcXAgQMBANXV1cjLy8Py5csBAIMGDYKDgwNyc3MRHR0NADh37hyOHDmClJQUAEBISAjKy8tx8OBBDBlyY+rNgQMHUF5eLhWU6pPL5ZDL5XrtDg4O7foDqaam5YWeBl9fKzNoGe15WzSlve9HY+oouTJP/TgiIiJz4wWuiYiozcaOHYu33noLX331FU6dOoWsrCysWLECjz32GIAbp47Fx8cjKSkJWVlZOHLkCKZMmQIXFxfExMQAABQKBaZOnYo5c+bgm2++wffff4+JEyeif//+0t3RAgICMHr0aEybNg379+/H/v37MW3aNERGRvJOaERE7dCaNWswYMAAuLu7w93dHSEhIdi1a5f0vBACKpUKvr6+cHZ2xvDhw3H06FGdZWg0GsycORNdu3aFq6sroqKicPbsWZ2YsrIyxMbGQqFQQKFQIDY2FpcuXTJHikRENonFIiIiarO0tDQ88cQTmD59OgICAjB37lzExcXhzTfflGLmzZuH+Ph4TJ8+HUFBQfj999+Rk5MDNzc3KWblypV49NFHER0djfvuuw8uLi7YsWMH7OzspJgtW7agf//+CA8PR3h4OAYMGIDNmzebNV8iImqZHj164O2338ahQ4dw6NAhPPTQQxg3bpxUEEpJScGKFSuQnp6OwsJCKJVKhIWF4fLly9Iy4uPjkZWVhczMTOzbtw+VlZWIjIxETU2NFBMTE4Pi4mJkZ2cjOzsbxcXFiI2NNXu+RES2gqehERFRm7m5uSE1NRWpqamNxshkMqhUKqhUqkZjnJyckJaWhrS0tEZjPDw8kJGR0YbeEhGRuYwdO1bn8VtvvYU1a9Zg//79uOuuu5CamorFixdj/PjxAIBNmzbB29sbW7duRVxcHMrLy7F+/Xps3rxZmmWakZEBPz8/7N69GxERETh+/Diys7Oxf/9+BAcHAwDWrVuHkJAQlJSUcOYpEVErcGYRERERERGZXE1NDTIzM3HlyhWEhITg5MmTUKvVCA8Pl2LkcjlCQ0ORn58PACgqKoJWq9WJ8fX1RWBgoBRTUFAAhUIhFYoAYOjQoVAoFFIMEREZhjOLiIiIiIjIZA4fPoyQkBBcu3YNt9xyC7KysnDXXXdJhZz6d7P09vbG6dOnAdy4i6ajo6POXTLrYtRqtRTj5eWlt14vLy8ppiEajQYajUZ6XHfnOa1WC61Wqxdf19bQc9aMeVmPluYktxPm6A4A42xfW9xXgOnzMvX2YrGIiIiIiIhMpm/fviguLsalS5fw6aefYvLkycjLy5Oel8l079wohNBrq69+TEPxzS0nOTkZiYmJeu05OTlwcXFp9HW5ublN9s1aMS/r0VxOKUPM1BEAO3fuNNqybHFfAabL6+rVqyZZbh0Wi4iIiIiIyGQcHR1xxx13AACCgoJQWFiI999/H/PnzwdwY2aQj4+PFF9aWirNNlIqlaiurkZZWZnO7KLS0lIMGzZMijl//rzeei9cuKA3a+lmCxcuREJCgvS4oqICfn5+CA8Ph7u7u168VqtFbm4uwsLC4ODgYMgmaNeYl/VoaU6Bqq/N1qcjqog2L8MW9xVg+rzqZkOaCotFRERERERkNkIIaDQa+Pv7Q6lUIjc3FwMHDgQAVFdXIy8vD8uXLwcADBo0CA4ODsjNzUV0dDQA4Ny5czhy5AhSUlIAACEhISgvL8fBgwcxZMiNKRUHDhxAeXm5VFBqiFwuh1wu12t3cHBo8oNdc89bK+ZlPZrLSVPT9Mw8Y/fFmMuytX0FmC4vU28rFouIiIiIiMgkFi1ahIcffhh+fn64fPkyMjMzsXfvXmRnZ0MmkyE+Ph5JSUno3bs3evfujaSkJLi4uCAmJgYAoFAoMHXqVMyZMweenp7w8PDA3Llz0b9/f+nuaAEBARg9ejSmTZuGDz/8EADwwgsvIDIykndCIyJqJRaLiIiIiIjIJM6fP4/Y2FicO3cOCoUCAwYMQHZ2NsLCwgAA8+bNQ1VVFaZPn46ysjIEBwcjJycHbm5u0jJWrlwJe3t7REdHo6qqCiNHjsTGjRthZ2cnxWzZsgWzZs2S7poWFRWF9PR08yZLRGRDWCwiIiIiIiKTWL9+fZPPy2QyqFQqqFSqRmOcnJyQlpaGtLS0RmM8PDyQkZHR2m4SEVE9nSzdASIiIiIiIiIiaj9YLCIiIiIiIiIiIgmLRUREREREREREJGGxiIiIiIiIiIiIJCwWERERERERERGRhMUiIiIiIiIiIiKSsFhEREREREREREQSFouIiIiIiIiIiEjCYhEREREREREREUnsLd0BIiIiIiIiol4LvjLasuR2AilDgEDV19DUyPSeP/X2GKOti8gWcWYRERERERERERFJWCwiIiIiIiIiIiIJT0PrYJqb2tncdE1DcGonERERERERkfXhzCIiIiIiIiIiIpKwWERERERERERERBIWi4iIiIiIiIiISMJiERERERERERERSXiBayIiIiIiIupQmrvxj7Hx5j9kbTiziIiIjOL333/HxIkT4enpCRcXF9xzzz0oKiqSnhdCQKVSwdfXF87Ozhg+fDiOHj2qswyNRoOZM2eia9eucHV1RVRUFM6ePasTU1ZWhtjYWCgUCigUCsTGxuLSpUvmSJGIiIiIqENgsYiIiNqsrKwM9913HxwcHLBr1y4cO3YM7733Hjp37izFpKSkYMWKFUhPT0dhYSGUSiXCwsJw+fJlKSY+Ph5ZWVnIzMzEvn37UFlZicjISNTU1EgxMTExKC4uRnZ2NrKzs1FcXIzY2FhzpktEREREZNN4GhoREbXZ8uXL4efnhw0bNkhtvXr1kv4vhEBqaioWL16M8ePHAwA2bdoEb29vbN26FXFxcSgvL8f69euxefNmjBo1CgCQkZEBPz8/7N69GxERETh+/Diys7Oxf/9+BAcHAwDWrVuHkJAQlJSUoG/fvuZLmoiIiIjIRrFYREREbbZ9+3ZERETgySefRF5eHrp3747p06dj2rRpAICTJ09CrVYjPDxceo1cLkdoaCjy8/MRFxeHoqIiaLVanRhfX18EBgYiPz8fERERKCgogEKhkApFADB06FAoFArk5+c3WCzSaDTQaDTS44qKCgCAVquFVqs1+rYwFrmdaN3rOgmdf1uqPW+LhtT119r63RodJVfm2XQ8ERGRObWpWJScnIxFixbhlVdeQWpqKoAb3x4nJiZi7dq1KCsrQ3BwMFatWoV+/fpJr9NoNJg7dy62bduGqqoqjBw5EqtXr0aPHj2kmLKyMsyaNQvbt28HAERFRSEtLU3nlAYiImof/vvf/2LNmjVISEjAokWLcPDgQcyaNQtyuRyTJk2CWq0GAHh7e+u8ztvbG6dPnwYAqNVqODo6okuXLnoxda9Xq9Xw8vLSW7+Xl5cUU19ycjISExP12nNycuDi4mJ4smaSMqRtr38zqNag+J07d7ZthRaSm5tr6S6YTUfJlXnqunr1qol7QkREpK/VxaLCwkKsXbsWAwYM0GmvuybFxo0b0adPHyxbtgxhYWEoKSmBm5sbgBvXpNixYwcyMzPh6emJOXPmIDIyEkVFRbCzswNw45oUZ8+eRXZ2NgDghRdeQGxsLHbs2NHaLhMRkYnU1tYiKCgISUlJAICBAwfi6NGjWLNmDSZNmiTFyWQyndcJIfTa6qsf01B8U8tZuHAhEhISpMcVFRXw8/NDeHg43N3dm0/OQgJVX7fqdfJOAm8G1WLJoU7Q1Da9bW92RBXRqvVZilarRW5uLsLCwuDg4GDp7phUR8mVeTasbjYkERGRObWqWFRZWYlnnnkG69atw7Jly6R2XpOCiKhj8vHxwV133aXTFhAQgE8//RQAoFQqAdyYGeTj4yPFlJaWSrONlEolqqurUVZWpjO7qLS0FMOGDZNizp8/r7f+Cxcu6M1aqiOXyyGXy/XaHRwc2vUHUk1Nyws9Db6+VmbQMtrztmhKe9+PxtRRcmWe+nFERETm1qpi0YwZMzBmzBiMGjVKp1jUUa5JYc3n1Dd3DYzWXuuiIe1t+1jrfjPnPgPa1/ax1n3WnMbysuY877vvPpSUlOi0nThxAj179gQA+Pv7Q6lUIjc3FwMHDgQAVFdXIy8vD8uXLwcADBo0CA4ODsjNzUV0dDQA4Ny5czhy5AhSUlIAACEhISgvL8fBgwcxZMiN87QOHDiA8vJyqaBERERE1N70WvBVm5chtxNIGXJj9nFbv1Qiao7BxaLMzEwUFRXh0KFDes91tGtSWOM59S29Boah17poSHu9/oW17Tdz7jOgfe43a9tnLVU/L2u+LsXs2bMxbNgwJCUlITo6GgcPHsTatWuxdu1aADdOHYuPj0dSUhJ69+6N3r17IykpCS4uLoiJiQEAKBQKTJ06FXPmzIGnpyc8PDwwd+5c9O/fX5qJGhAQgNGjR2PatGn48MMPAdw4TTkyMpKzTomIiIiIjMSgYtFvv/2GV155BTk5OXBycmo0ztavSWHN59Q3dw2M1l7roiHt7foX1rrfzLnPgPa136x1nzWnsbys+boUgwcPRlZWFhYuXIilS5fC398fqampeOaZZ6SYefPmoaqqCtOnT5dugJCTkyNdzw4AVq5cCXt7e0RHR0s3QNi4caN0PTsA2LJlC2bNmiXNUI2KikJ6err5kiUiIiIisnEGFYuKiopQWlqKQYMGSW01NTX47rvvkJ6eLp2C0FGuSWGN59S3dLqiode6aEh73TbWtt/Muc+A9rnfrG2ftVT9vKw9x8jISERGRjb6vEwmg0qlgkqlajTGyckJaWlpSEtLazTGw8MDGRkZbekqERERERE1oZMhwSNHjsThw4dRXFws/QQFBeGZZ55BcXExbrvtNumaFHXqrklRVwi6+ZoUdequSVEXc/M1KerwmhRERERERERERKZn0MwiNzc3BAYG6rS5urrC09NTauc1KYiIiIiIiKyfMS7KTETWqVV3Q2sKr0lBRERERERERGS92lws2rt3r85jXpOCiIiIiIiIiMh6GXTNIiIiIiIiIiIism0sFhERERERERERkYTFIiIiIiIiMonk5GQMHjwYbm5u8PLywqOPPoqSkhKdGCEEVCoVfH194ezsjOHDh+Po0aM6MRqNBjNnzkTXrl3h6uqKqKgonD17ViemrKwMsbGxUCgUUCgUiI2NxaVLl0ydIhGRTWKxiIiIiIiITCIvLw8zZszA/v37kZubi+vXryM8PBxXrlyRYlJSUrBixQqkp6ejsLAQSqUSYWFhuHz5shQTHx+PrKwsZGZmYt++faisrERkZCRqamqkmJiYGBQXFyM7OxvZ2dkoLi5GbGysWfMlIrIVRr8bGhEREREREQBkZ2frPN6wYQO8vLxQVFSEBx98EEIIpKamYvHixRg/fjwAYNOmTfD29sbWrVsRFxeH8vJyrF+/Hps3b8aoUaMAABkZGfDz88Pu3bsRERGB48ePIzs7G/v370dwcDAAYN26dQgJCUFJSQn69u1r3sSJiKwcZxYREREREZFZlJeXA7hx52MAOHnyJNRqNcLDw6UYuVyO0NBQ5OfnAwCKioqg1Wp1Ynx9fREYGCjFFBQUQKFQSIUiABg6dCgUCoUUQ0RELceZRUREREREZHJCCCQkJOD+++9HYGAgAECtVgMAvL29dWK9vb1x+vRpKcbR0RFdunTRi6l7vVqthpeXl946vby8pJj6NBoNNBqN9LiiogIAoNVqodVq9eLr2hp6zpo1lZfcTpi7O0Yj7yR0/rUF7TEnY/w9dMS/LWMu31RYLCIiIiIiIpN7+eWX8eOPP2Lfvn16z8lkMp3HQgi9tvrqxzQU39RykpOTkZiYqNeek5MDFxeXRtebm5vbZL+sVUN5pQyxQEeM7M2gWkt3wejaU047d+402rI60t+WMVy9etUky63DYhEREREREZnUzJkzsX37dnz33Xfo0aOH1K5UKgHcmBnk4+MjtZeWlkqzjZRKJaqrq1FWVqYzu6i0tBTDhg2TYs6fP6+33gsXLujNWqqzcOFCJCQkSI8rKirg5+eH8PBwuLu768VrtVrk5uYiLCwMDg4OhqTfrjWVV6Dqawv1qu3knQTeDKrFkkOdoKltuvBoLdpjTkdUEW1eRkf82zKGutmQpsJiERERERERmYQQAjNnzkRWVhb27t0Lf39/nef9/f2hVCqRm5uLgQMHAgCqq6uRl5eH5cuXAwAGDRoEBwcH5ObmIjo6GgBw7tw5HDlyBCkpKQCAkJAQlJeX4+DBgxgy5MZ0mAMHDqC8vFwqKNUnl8shl8v12h0cHJr8YNfc89aqobw0Ne2jINEWmlqZTeRxs/aUkzH/Ftrb31avBV+16fVyO4GUIcDAt75t0f469fYYg5Zv6m3FYhEREREREZnEjBkzsHXrVnzxxRdwc3OTrh+kUCjg7OwMmUyG+Ph4JCUloXfv3ujduzeSkpLg4uKCmJgYKXbq1KmYM2cOPD094eHhgblz56J///7S3dECAgIwevRoTJs2DR9++CEA4IUXXkBkZCTvhEZE1AosFhERERERkUmsWbMGADB8+HCd9g0bNmDKlCkAgHnz5qGqqgrTp09HWVkZgoODkZOTAzc3Nyl+5cqVsLe3R3R0NKqqqjBy5Ehs3LgRdnZ2UsyWLVswa9Ys6a5pUVFRSE9PN22CREQ2isUiIiIiIiIyCSGav2uTTCaDSqWCSqVqNMbJyQlpaWlIS0trNMbDwwMZGRmt6SYREdXDYhERERERERERGayt1/UB/ndtn0DV181e28fQ6/pQ67FYRERERGQkxnjTXF9jb6L5hpmIiIhMpZOlO0BERERERERERO0Hi0VERERERERERCRhsYiIiIiIiIiIiCQsFhERERERERERkYTFIiIiIiIiIiIikrBYREREREREREREEhaLiIiIiIiIiIhIwmIREREZVXJyMmQyGeLj46U2IQRUKhV8fX3h7OyM4cOH4+jRozqv02g0mDlzJrp27QpXV1dERUXh7NmzOjFlZWWIjY2FQqGAQqFAbGwsLl26ZIasiIiIiIg6DhaLiIjIaAoLC7F27VoMGDBApz0lJQUrVqxAeno6CgsLoVQqERYWhsuXL0sx8fHxyMrKQmZmJvbt24fKykpERkaipqZGiomJiUFxcTGys7ORnZ2N4uJixMbGmi0/IiIiIqKOwN7SHSCyRr0WfGXpLhC1O5WVlXjmmWewbt06LFu2TGoXQiA1NRWLFy/G+PHjAQCbNm2Ct7c3tm7diri4OJSXl2P9+vXYvHkzRo0aBQDIyMiAn58fdu/ejYiICBw/fhzZ2dnYv38/goODAQDr1q1DSEgISkpK0LdvX/MnTURERERkg1gsIiIio5gxYwbGjBmDUaNG6RSLTp48CbVajfDwcKlNLpcjNDQU+fn5iIuLQ1FREbRarU6Mr68vAgMDkZ+fj4iICBQUFEChUEiFIgAYOnQoFAoF8vPzGy0WaTQaaDQa6XFFRQUAQKvVQqvVGi1/Y5Pbida9rpPQ+bel2vO2aEhdf9tbv1u735pcZiP7tL3l3lbtdZ8am6F52vr2ICKi9onFIiIiarPMzEwUFRXh0KFDes+p1WoAgLe3t067t7c3Tp8+LcU4OjqiS5cuejF1r1er1fDy8tJbvpeXlxTTkOTkZCQmJuq15+TkwMXFpZnMLCdlSNte/2ZQrUHxO3fubNsKLSQ3N9fSXdDR1v3WlPr71Fr3WXPa2z41lZbmefXqVRP3hIjIevAMD/NhsYiIiNrkt99+wyuvvIKcnBw4OTk1GieTyXQeCyH02uqrH9NQfHPLWbhwIRISEqTHFRUV8PPzQ3h4ONzd3ZtcvyUFqr5u1evknQTeDKrFkkOdoKltevve7IgqolXrsxStVovc3FyEhYXBwcHB0t2RtHa/NaWxfWpt+6w57XWfGpuhedbNhiQiIjInFouIiKhNioqKUFpaikGDBkltNTU1+O6775Ceno6SkhIAN2YG+fj4SDGlpaXSbCOlUonq6mqUlZXpzC4qLS3FsGHDpJjz58/rrf/ChQt6s5ZuJpfLIZfL9dodHBza9QdSTU3LCz0Nvr5WZtAy2vO2aEp7249t3W9NLrvePm1PeRtTe9unptLSPDvCtiAiovaHd0MjIqI2GTlyJA4fPozi4mLpJygoCM888wyKi4tx2223QalU6pxyUV1djby8PKkQNGjQIDg4OOjEnDt3DkeOHJFiQkJCUF5ejoMHD0oxBw4cQHl5uRRDRERERERtx5lFRETUJm5ubggMDNRpc3V1haenp9QeHx+PpKQk9O7dG71790ZSUhJcXFwQExMDAFAoFJg6dSrmzJkDT09PeHh4YO7cuejfv790d7SAgACMHj0a06ZNw4cffggAeOGFFxAZGck7oRERERERGRGLRUREZHLz5s1DVVUVpk+fjrKyMgQHByMnJwdubm5SzMqVK2Fvb4/o6GhUVVVh5MiR2LhxI+zs7KSYLVu2YNasWdJd06KiopCenm72fIiIiIiIbBmLRUREZHR79+7VeSyTyaBSqaBSqRp9jZOTE9LS0pCWltZojIeHBzIyMozUSyIiIiIiagivWURERERERERERBIWi4iIiIiIiIiISMJiERERERERERERSVgsIiIiIiIiIiIiCYtFREREREREREQkYbGIiIiIiIiIiIgkLBYREREREREREZHE3tIdIKL2pdeCr8y2rlNvjzHbuoiIiIiIiKhlOLOIiIiIiIiIiIgkBhWLkpOTMXjwYLi5ucHLywuPPvooSkpKdGKEEFCpVPD19YWzszOGDx+Oo0eP6sRoNBrMnDkTXbt2haurK6KionD27FmdmLKyMsTGxkKhUEChUCA2NhaXLl1qXZZERERERERERNQiBhWL8vLyMGPGDOzfvx+5ubm4fv06wsPDceXKFSkmJSUFK1asQHp6OgoLC6FUKhEWFobLly9LMfHx8cjKykJmZib27duHyspKREZGoqamRoqJiYlBcXExsrOzkZ2djeLiYsTGxhohZSIiIiIiIiIiaoxB1yzKzs7WebxhwwZ4eXmhqKgIDz74IIQQSE1NxeLFizF+/HgAwKZNm+Dt7Y2tW7ciLi4O5eXlWL9+PTZv3oxRo0YBADIyMuDn54fdu3cjIiICx48fR3Z2Nvbv34/g4GAAwLp16xASEoKSkhL07dvXGLkTEREREREREVE9bbrAdXl5OQDAw8MDAHDy5Emo1WqEh4dLMXK5HKGhocjPz0dcXByKioqg1Wp1Ynx9fREYGIj8/HxERESgoKAACoVCKhQBwNChQ6FQKJCfn99gsUij0UCj0UiPKyoqAABarRZarbYtaeqpW56xl2sOcjvR9POdhM6/bdHeto8x91tz29GcjLnPzK25fWHNf2tNaSwvW8uTiIiIiIisU6uLRUIIJCQk4P7770dgYCAAQK1WAwC8vb11Yr29vXH69GkpxtHREV26dNGLqXu9Wq2Gl5eX3jq9vLykmPqSk5ORmJio156TkwMXFxcDs2uZ3NxckyzXlFKGtCzuzaDaNq9r586dbV6GKRhjv7V0O5qTMfaZubX0d8Qa/9Zaon5eV69etVBPiIiIiIiI/qfVxaKXX34ZP/74I/bt26f3nEwm03kshNBrq69+TEPxTS1n4cKFSEhIkB5XVFTAz88P4eHhcHd3b3LdhtJqtcjNzUVYWBgcHByMumxTC1R93eTz8k4CbwbVYsmhTtDUNr3PmnNEFdGm1xubMfdbc9vRnIy5z8ytud8Ra/5ba0pjedXNiCQiIiIiIrKkVhWLZs6cie3bt+O7775Djx49pHalUgngxswgHx8fqb20tFSabaRUKlFdXY2ysjKd2UWlpaUYNmyYFHP+/Hm99V64cEFv1lIduVwOuVyu1+7g4GCyD5mmXLapaGpaVkzQ1MpaHNuY9rptjLHf2rptTMEY+8zcWrofrPFvrSXq52WLORIRERERkfUxqFgkhMDMmTORlZWFvXv3wt/fX+d5f39/KJVK5ObmYuDAgQCA6upq5OXlYfny5QCAQYMGwcHBAbm5uYiOjgYAnDt3DkeOHEFKSgoAICQkBOXl5Th48CCGDLlxvs+BAwdQXl4uFZSIiIiIiKh9++677/DOO++gqKgI586dQ1ZWFh599FHpeSEEEhMTsXbtWpSVlSE4OBirVq1Cv379pBiNRoO5c+di27ZtqKqqwsiRI7F69WqdL63Lysowa9YsbN++HQAQFRWFtLQ0dO7c2Vypmk2vBV8ZdXlyO4GUITdmzlvbF49EZDqdDAmeMWMGMjIysHXrVri5uUGtVkOtVqOqqgrAjVPH4uPjkZSUhKysLBw5cgRTpkyBi4sLYmJiAAAKhQJTp07FnDlz8M033+D777/HxIkT0b9/f+nuaAEBARg9ejSmTZuG/fv3Y//+/Zg2bRoiIyN5JzQiIiIiIitx5coV3H333UhPT2/w+ZSUFKxYsQLp6ekoLCyEUqlEWFgYLl++LMXEx8cjKysLmZmZ2LdvHyorKxEZGYmamhopJiYmBsXFxcjOzkZ2djaKi4sRGxtr8vyIiGyVQTOL1qxZAwAYPny4TvuGDRswZcoUAMC8efNQVVWF6dOnS98O5OTkwM3NTYpfuXIl7O3tER0dLX07sHHjRtjZ2UkxW7ZswaxZs6S7pkVFRTU6yBARERERUfvz8MMP4+GHH27wOSEEUlNTsXjxYowfPx4AsGnTJnh7e2Pr1q2Ii4tDeXk51q9fj82bN0tfLGdkZMDPzw+7d+9GREQEjh8/juzsbOzfv1+6m/K6desQEhKCkpISftlMRNQKBp+G1hyZTAaVSgWVStVojJOTE9LS0pCWltZojIeHBzIyMgzpHhERERERWYmTJ09CrVZLXw4DN65DGhoaivz8fMTFxaGoqAharVYnxtfXF4GBgcjPz0dERAQKCgqgUCikQhEADB06FAqFAvn5+Y0WizQaDTQajfS47kYTWq0WWq1WL76uraHnzElu1/xnMoOW10no/GsrbDEvW8wJYF51DD22mPpY1Oq7oREREREREbWWWq0GAL0b2Hh7e+P06dNSjKOjo86Ncepi6l6vVqvh5eWlt3wvLy8ppiHJyclITEzUa8/JyYGLi0ujr8vNzW30OXNIGWKa5b4ZVGuaBVuYLeZlizkBzGvnzp0GLffq1aut6U6LsVhEREREREQWI5PpXlRZCKHXVl/9mIbim1vOwoULkZCQID2uqKiAn58fwsPD4e7urhev1WqRm5uLsLAwi97BNFD1tVGXJ+8k8GZQLZYc6gRNre1c4NoW87LFnADmVeeIKsKg5dfNhjQVFovIZIx9p4bmnHp7jFnXR0REREStp1QqAdyYGeTj4yO1l5aWSrONlEolqqurUVZWpjO7qLS0VLpLslKpxPnz5/WWf+HCBb1ZSzeTy+WQy+V67Q4ODk0Wg5p73tRMdccyTa3MJu+GZot52WJOAPMy9Lhi6uOQQXdDIyIiIiIiMgZ/f38olUqd07qqq6uRl5cnFYIGDRoEBwcHnZhz587hyJEjUkxISAjKy8tx8OBBKebAgQMoLy+XYoiIyDCcWURERERERCZRWVmJX375RXp88uRJFBcXw8PDA7feeivi4+ORlJSE3r17o3fv3khKSoKLiwtiYmIAAAqFAlOnTsWcOXPg6ekJDw8PzJ07F/3795fujhYQEIDRo0dj2rRp+PDDDwEAL7zwAiIjI3knNCKiVuLMIiIiarPk5GQMHjwYbm5u8PLywqOPPoqSkhKdGCEEVCoVfH194ezsjOHDh+Po0aM6MRqNBjNnzkTXrl3h6uqKqKgonD17ViemrKwMsbGxUCgUUCgUiI2NxaVLl0ydIhERtcKhQ4cwcOBADBw4EACQkJCAgQMH4vXXXwcAzJs3D/Hx8Zg+fTqCgoLw+++/IycnB25ubtIyVq5ciUcffRTR0dG477774OLigh07dsDOzk6K2bJlC/r374/w8HCEh4djwIAB2Lx5s3mTJSKyIZxZZGHmvq4PEZEp5OXlYcaMGRg8eDCuX7+OxYsXIzw8HMeOHYOrqysAICUlBStWrMDGjRvRp08fLFu2DGFhYSgpKZE+FMTHx2PHjh3IzMyEp6cn5syZg8jISBQVFUkfCmJiYnD27FlkZ2cDuPHtcWxsLHbs2GGZ5ImIqFHDhw+HEI3fNlomk0GlUkGlUjUa4+TkhLS0NKSlpTUa4+HhgYyMjLZ0lYiIbsJiERERtVld4abOhg0b4OXlhaKiIjz44IMQQiA1NRWLFy/G+PHjAQCbNm2Ct7c3tm7diri4OJSXl2P9+vXYvHmzdGpBRkYG/Pz8sHv3bkREROD48ePIzs7G/v37ERwcDABYt24dQkJCUFJSwtMNiIiIiIiMgKehERGR0ZWXlwO48U0vcOMaFWq1GuHh4VKMXC5HaGgo8vPzAQBFRUXQarU6Mb6+vggMDJRiCgoKoFAopEIRAAwdOhQKhUKKISIiIiKituHMIiIiMiohBBISEnD//fcjMDAQwI3bIgPQu4Wxt7c3Tp8+LcU4Ojrq3Bq5Lqbu9Wq1Gl5eXnrr9PLykmLq02g00Gg00uOKigoAgFarhVarbU2KZiG3a/y0jSZf10no/NtS7XlbNKSuv+2t363db00us5F92t5yb6v2uk+NzdA8bX17EBFR+8RiERERGdXLL7+MH3/8Efv27dN7TiaT6TwWQui11Vc/pqH4ppaTnJyMxMREvfacnBy4uLg0uW5LShnStte/GVRrUPzOnTvbtkILufl22u1BW/dbU+rvU2vdZ81pb/vUVFqa59WrV03cEyIiIn0sFhERkdHMnDkT27dvx3fffYcePXpI7UqlEsCNmUE+Pj5Se2lpqTTbSKlUorq6GmVlZTqzi0pLSzFs2DAp5vz583rrvXDhgt6spToLFy5EQkKC9LiiogJ+fn4IDw+Hu7t7G7I1rUDV1616nbyTwJtBtVhyqBM0tU0X4m52RBXRqvVZilarRW5uLsLCwuDg4GDp7khau9+a0tg+tbZ91pz2uk+NzdA862ZDEhERmROLRURE1GZCCMycORNZWVnYu3cv/P39dZ739/eHUqlEbm6udPvk6upq5OXlYfny5QCAQYMGwcHBAbm5uYiOjgYAnDt3DkeOHEFKSgoAICQkBOXl5Th48CCGDLkxhePAgQMoLy+XCkr1yeVyyOVyvXYHB4d2/YFUU9PyQk+Dr6+VGbSM9rwtmtLe9mNb91uTy663T9tT3sbU3vapqbQ0z46wLYiIqP1hsYiIiNpsxowZ2Lp1K7744gu4ublJ1w9SKBRwdnaGTCZDfHw8kpKS0Lt3b/Tu3RtJSUlwcXFBTEyMFDt16lTMmTMHnp6e8PDwwNy5c9G/f3/p7mgBAQEYPXo0pk2bhg8//BAA8MILLyAyMpJ3QiMiIovpteArS3eBiMioWCwiIqI2W7NmDQBg+PDhOu0bNmzAlClTAADz5s1DVVUVpk+fjrKyMgQHByMnJwdubm5S/MqVK2Fvb4/o6GhUVVVh5MiR2LhxI+zs7KSYLVu2YNasWdJd06KiopCenm7aBP8/fhggIiIioo6AxSIiImozIZq/A5RMJoNKpYJKpWo0xsnJCWlpaUhLS2s0xsPDAxkZGa3pJpFNMXfx8tTbY8y6PiIiIrKcTpbuABERERERERERtR8sFhERERERERERkYSnoZHNaG46vtxOIGXIjdsam/JuNURERERERETWjDOLiIiIiIiIiIhIwmIRERERERERERFJWCwiIiIiIiIiIiIJi0VERERERERERCThBa6JiIjIZjV38wMiIiIi0seZRUREREREREREJGGxiIiIiIiIiIiIJCwWERERERERERGRhMUiIiIiIiIiIiKSsFhEREREREREREQSFouIiIiIiIiIiEjCYhEREREREREREUlYLCIiIiIiIiIiIgmLRUREREREREREJLG3dAeIiIjI8not+Mps6zr19hizrYuIiIiIDMeZRUREREREREREJGGxiIiIiIiIiIiIJCwWERERERERERGRhNcsIiIiIqJmmfq6VnI7gZQhQKDqa5S8FWnSdREREVHTWCwiIiIiszJG0eHmwoKmRmaEXhERERFRHZ6GRkREREREREREEhaLiIiIiIiIiIhIwtPQGtDc9HhOfSciIiIyHVNfH+lmp94eY7Z1ERERWYt2XyxavXo13nnnHZw7dw79+vVDamoqHnjgAUt3i4iMwNyFWX4gsB0cG4iIqCEcH4iIjKNdn4b2ySefID4+HosXL8b333+PBx54AA8//DDOnDlj6a4REZGFcGwgIqKGcHwgIjKedl0sWrFiBaZOnYrnn38eAQEBSE1NhZ+fH9asWWPprhERkYVwbCAiooZwfCAiMp52expadXU1ioqKsGDBAp328PBw5Ofn68VrNBpoNBrpcXl5OQDgr7/+glarNWjd9tevNP18rcDVq7Ww13ZCTa1tXbOIuVkfW80LMH5uFy9eNEKv2k6r1eLq1au4ePEiHBwcpPbLly8DAIQQlupau2fo2ACYd3xoD2z5mHCzjpIn0HFytVSed8z9h9nWBQD75j7Y4BjQGI4NLWOO8aGx8RuwjvGhMbZ6jLHFvGwxJ4B51TH0s4qpx4d2Wyz6888/UVNTA29vb512b29vqNVqvfjk5GQkJibqtfv7+5ukfzEmWWr7wNysj63mBRg3t67vGXFhJnT58mUoFApLd6NdMnRsAMw/PrQHtnxMuFlHyRPoOLl2hDx9WjkWcWxoGseHtrHVvz1bzMsWcwKYF9D6zyqmGh/abbGojkymW4ETQui1AcDChQuRkJAgPa6trcVff/0FT0/PBuPboqKiAn5+fvjtt9/g7u5u1GVbGnOzPraaF2C7uTWWlxACly9fhq+vrwV7Zx1aOjYA5h0f2gNb/bupr6PkCXScXJlnwzg2GMaU44Ot/o4yL+thizkBzKu1TD0+tNtiUdeuXWFnZ6f3TUBpaaneNwYAIJfLIZfLddo6d+5syi7C3d3dpn6Zb8bcrI+t5gXYbm4N5cVvjZtm6NgAWGZ8aA9s9e+mvo6SJ9BxcmWe+jg2NM+c44Ot/o4yL+thizkBzKs1TDk+tNsLXDs6OmLQoEHIzc3Vac/NzcWwYcMs1CsiIrIkjg1ERNQQjg9ERMbVbmcWAUBCQgJiY2MRFBSEkJAQrF27FmfOnMGLL75o6a4REZGFcGwgIqKGcHwgIjKedl0seuqpp3Dx4kUsXboU586dQ2BgIHbu3ImePXtatF9yuRxvvPGG3rRVW8DcrI+t5gXYbm62mpe5tNexob3oKL9fHSVPoOPkyjyprUw9PtjqvmNe1sMWcwKYV3slE7wPJxERERERERER/X/t9ppFRERERERERERkfiwWERERERERERGRhMUiIiIiIiIiIiKSsFhEREREREREREQSFoua8dZbb2HYsGFwcXFB586d9Z7/4YcfMGHCBPj5+cHZ2RkBAQF4//33G13eL7/8Ajc3twaXZU7GyGvv3r0YN24cfHx84OrqinvuuQdbtmwxUwaNM9Y+O3z4MEJDQ+Hs7Izu3btj6dKlsPT14JvLDQBeeeUVDBo0CHK5HPfcc0+DMV9//TWGDh0KNzc3dOvWDY8//jhOnjxpuo43w1h5CSHw7rvvok+fPpDL5fDz80NSUpLpOt4CxsqtTns5hpBlrVmzBgMGDIC7uzvc3d0REhKCXbt2NRgbFxcHmUyG1NRU83bSSFqS6/HjxxEVFQWFQgE3NzcMHToUZ86csVCPW6e5PCsrK/Hyyy+jR48e0ti1Zs0aC/bYOJKTkyGTyRAfHy+1CSGgUqng6+sLZ2dnDB8+HEePHrVcJ42gfp5arRbz589H//794erqCl9fX0yaNAl//PGHZTtKTVq9ejX8/f3h5OSEQYMG4f/+7/8s3SWDfPfddxg7dix8fX0hk8nw+eef6zxvjX97ycnJGDx4MNzc3ODl5YVHH30UJSUlOjHWmFdzY4I15lSfrRz/VSoVZDKZzo9SqZSet8ac6rBY1Izq6mo8+eSTeOmllxp8vqioCN26dUNGRgaOHj2KxYsXY+HChUhPT9eL1Wq1mDBhAh544AFTd7tZxsgrPz8fAwYMwKeffooff/wRzz33HCZNmoQdO3aYK40GGSO3iooKhIWFwdfXF4WFhUhLS8O7776LFStWmCuNBjWXG3DjgPTcc8/hqaeeavD5//73vxg3bhweeughFBcX4+uvv8aff/6J8ePHm6rbzTJGXsCNostHH32Ed999Fz/99BN27NiBIUOGmKLLLWas3ID2dQwhy+rRowfefvttHDp0CIcOHcJDDz2EcePG6b35+Pzzz3HgwAH4+vpaqKdt11yuv/76K+6//37ceeed2Lt3L3744QcsWbIETk5OFu65YZrLc/bs2cjOzkZGRgaOHz+O2bNnY+bMmfjiiy8s3PPWKywsxNq1azFgwACd9pSUFKxYsQLp6ekoLCyEUqlEWFgYLl++bKGetk1DeV69ehX/+c9/sGTJEvznP//BZ599hhMnTiAqKsqCPaWmfPLJJ4iPj8fixYvx/fff44EHHsDDDz9sVYXpK1eu4O67727wcwpgnX97eXl5mDFjBvbv34/c3Fxcv34d4eHhuHLlihRjjXk1NyZYY043s7Xjf79+/XDu3Dnp5/Dhw9Jz1poTAEBQi2zYsEEoFIoWxU6fPl2MGDFCr33evHli4sSJBi3L1IyR180eeeQR8eyzzxqhZ23XltxWr14tFAqFuHbtmtSWnJwsfH19RW1trbG7arCW5PbGG2+Iu+++W6/9n//8p7C3txc1NTVS2/bt24VMJhPV1dVG7qlh2pLXsWPHhL29vfjpp59M07k2aktuddrjMYTajy5duoiPPvpIenz27FnRvXt3ceTIEdGzZ0+xcuVKy3XOyG7O9amnnhITJ060cI9M4+Y8+/XrJ5YuXarz/L333itee+01S3StzS5fvix69+4tcnNzRWhoqHjllVeEEELU1tYKpVIp3n77bSn22rVrQqFQiA8++MBCvW29xvJsyMGDBwUAcfr0afN1kFpsyJAh4sUXX9Rpu/POO8WCBQss1KO2ASCysrKkx7byt1daWioAiLy8PCGE7eQlxP/GBGvPydaO/029f7fWnOpwZpEJlJeXw8PDQ6ft22+/xT//+U+sWrXKQr1qu4byak1Me1S/3wUFBQgNDYVcLpfaIiIi8Mcff+DUqVMW6KHxBAUFwc7ODhs2bEBNTQ3Ky8uxefNmhIeHw8HBwdLda7UdO3bgtttuw5dffgl/f3/06tULzz//PP766y9Ld80obOEYQqZRU1ODzMxMXLlyBSEhIQCA2tpaxMbG4tVXX0W/fv0s3EPjqZ9rbW0tvvrqK/Tp0wcRERHw8vJCcHCw3qkV1qahfXr//fdj+/bt+P333yGEwJ49e3DixAlERERYuLetM2PGDIwZMwajRo3SaT958iTUajXCw8OlNrlcjtDQUOTn55u7m23WWJ4NKS8vh0wm42nG7VB1dTWKiop0fi8BIDw83Cp/LxtiK3975eXlACC9r7eFvOqPCdaeky0e/3/++Wf4+vrC398fTz/9NP773/8CsO6cAMDe0h2wNQUFBfjHP/6Br776Smq7ePEipkyZgoyMDLi7u1uwd63XUF71/etf/0JhYSE+/PBDM/as7RrKTa1Wo1evXjpx3t7e0nP+/v7m7KJR9erVCzk5OXjyyScRFxeHmpoahISEYOfOnZbuWpv897//xenTp/HPf/4TH3/8MWpqajB79mw88cQT+Pbbby3dvTaxhWMIGd/hw4cREhKCa9eu4ZZbbkFWVhbuuusuAMDy5cthb2+PWbNmWbiXxtFYrmq1GpWVlXj77bexbNkyLF++HNnZ2Rg/fjz27NmD0NBQS3fdIE3t07/97W+YNm0aevToAXt7e3Tq1AkfffQR7r//fgv32nCZmZkoKirCoUOH9J5Tq9UA/jfm1vH29sbp06fN0j9jaSrP+q5du4YFCxYgJiaGx/l26M8//0RNTU2Dv5d1v7PWzhb+9oQQSEhIwP3334/AwEAA1p1XY2NCXZHBGnOyxeN/cHAwPv74Y/Tp0wfnz5/HsmXLMGzYMBw9etRqc6rTIWcWNXQRqvo/LRnY6zt69CjGjRuH119/HWFhYVL7tGnTEBMTgwcffNCYaegxd14327t3L6ZMmYJ169aZ5FtsS+Qmk8l0Hov/f3Hr+u1tZarcGqNWq/H8889j8uTJKCwsRF5eHhwdHfHEE08Y9QLe5s6rtrYWGo0GH3/8MR544AEMHz4c69evx549e/QudNhW5s7NXMcQsi59+/ZFcXEx9u/fj5deegmTJ0/GsWPHUFRUhPfffx8bN240+vHKUhrLtba2FgAwbtw4zJ49G/fccw8WLFiAyMhIfPDBBxbuteEayxO4USzav38/tm/fjqKiIrz33nuYPn06du/ebeFeG+a3337DK6+8gi1btjR5XamGxmBr+n1uaZ7AjevRPf3006itrcXq1avN1ENqDWv/vWwJa87x5Zdfxo8//oht27bpPWeNeTU1JgDWl5OtHv8ffvhhPP744+jfvz9GjRolTUDYtGmTFGNtOdXpkDOLXn75ZTz99NNNxtSfVdKcY8eO4aGHHsK0adPw2muv6Tz37bffYvv27Xj33XcB3PjlqK2thb29PdauXYvnnnvOoHU1xtx51cnLy8PYsWOxYsUKTJo0yaDlt5S5c1MqlXrfFJWWlgLQrwy3lSlya8qqVavg7u6OlJQUqS0jIwN+fn44cOAAhg4dapT1mDsvHx8f2Nvbo0+fPlJbQEAAAODMmTPo27ev0dZl7tzMdQwh6+Lo6Ig77rgDwI3TSwsLC/H+++8jICAApaWluPXWW6XYmpoazJkzB6mpqVZ5Km1juaalpcHe3l6afVMnICAA+/bts0RX26SxPFNTU7Fo0SJkZWVhzJgxAIABAwaguLgY7777botOcWovioqKUFpaikGDBkltNTU1+O6775Ceni4V99VqNXx8fKSY0tJSo4+/ptRcnhqNBnZ2dtBqtYiOjsbJkyfx7bffclZRO9W1a1fY2dk1+N7Qmn4vm1J39yZr/dubOXMmtm/fju+++w49evSQ2q05r8bGhPnz5wOwvpw6yvHf1dUV/fv3x88//4xHH30UgPXm1CGLRV27dkXXrl2NtryjR4/ioYcewuTJk/HWW2/pPV9QUICamhrp8RdffIHly5cjPz8f3bt3N1o/zJ0XcGNGUWRkJJYvX44XXnjBaOuuz9y5hYSEYNGiRaiuroajoyMAICcnB76+vkYtAgDGz605V69ehZ2dnU5b3eO6b+mNwdx53Xfffbh+/Tp+/fVX3H777QCAEydOAAB69uxp1HWZOzdzHUPIugkhoNFoEBsbq1c8iIiIQGxsLJ599lkL9c646nJ1dHTE4MGD9WYPnjhxwuh/95ZQl6dWq4VWq0WnTroTwu3s7Ix63DaHkSNH6twlBgCeffZZ3HnnnZg/fz5uu+02KJVK5ObmYuDAgQBuXC8mLy8Py5cvt0SXW6W5PG8uFP3888/Ys2cPPD09LdRbao6joyMGDRqE3NxcPPbYY1J7bm4uxo0bZ8GeGY+/v79V/u0JITBz5kxkZWVh7969epeKsNa8GlI3JlhrTh3l+K/RaHD8+HE88MADVruv6nTIYpEhzpw5g7/++gtnzpxBTU0NiouLAQB33HEHbrnlFhw9ehQjRoxAeHg4EhISpG8c7Ozs0K1bNwD/m91Q59ChQ+jUqZN0Lq0lGCOvvXv3YsyYMXjllVfw+OOPSzGOjo4Wvci1MXKLiYlBYmIipkyZgkWLFuHnn39GUlISXn/9dYtOGWwuNwD45ZdfUFlZCbVajaqqKinmrrvugqOjI8aMGYOVK1di6dKlmDBhAi5fvoxFixahZ8+e0kHMGvMaNWoU7r33Xjz33HNITU1FbW0tZsyYgbCwMJ3ZRuZmjNza4zGELGvRokV4+OGH4efnh8uXLyMzMxN79+5FdnY2PD099T50Ojg4QKlUGnWGnbk0lSsAvPrqq3jqqafw4IMPYsSIEcjOzsaOHTuwd+9ey3bcQE3l6e7ujtDQULz66qtwdnZGz549kZeXh48//hgrVqywdNcN4ubmpnfscnV1haenp9QeHx+PpKQk9O7dG71790ZSUhJcXFwQExNjiS63SnN5Xr9+HU888QT+85//4Msvv0RNTY30fsTDw0P6ooraj4SEBMTGxiIoKAghISFYu3Ytzpw5gxdffNHSXWuxyspK/PLLL9LjkydPori4GB4eHrj11lut8m9vxowZ2Lp1K7744gu4ublJf0cKhQLOzs6QyWRWmVdTY4K15mSrx/+5c+di7NixuPXWW1FaWoply5ahoqICkydPttp9JTH37deszeTJkwUAvZ89e/YIIW7cKq+h53v27NnoMtvDba+NkVdjywgNDbVITs31y9B99uOPP4oHHnhAyOVyoVQqhUqlErW1teZP6CbN5SaEEKGhoQ3GnDx5UorZtm2bGDhwoHB1dRXdunUTUVFR4vjx4+ZP6P8zVl6///67GD9+vLjllluEt7e3mDJlirh48aL5E7qJsXK7WXs4hpBlPffcc6Jnz57C0dFRdOvWTYwcOVLk5OQ0Gt+zZ0+xcuVK83XQiFqS6/r168Udd9whnJycxN133y0+//xzC/W29ZrL89y5c2LKlCnC19dXODk5ib59+4r33nvP4uOSMdS/pXxtba144403hFKpFHK5XDz44IPi8OHDluugkdyc58mTJxs87tcfH6h9WbVqlfR3eu+990q3Z7cWe/bsafB3bvLkyUII6/zba+zvaMOGDVKMNebV3JhgjTk1xBaO/0899ZTw8fERDg4OwtfXV4wfP14cPXpUet4ac6ojE8KIV7QlIiIiIiIiIiKr1iHvhkZERERERERERA1jsYiIiIiIiIiIiCQsFhERERERERERkYTFIiIiIiIiIiIikrBYREREREREREREEhaLiIiIiIiIiIhIwmIRERERERERERFJWCwiIiIiIiIiIiIJi0VERERERERERCRhsYiIiIiIiIjIBFQqFWQyWateu3PnTqhUqgaf69WrF6ZMmdL6jhE1g8Uisoj8/HyoVCpcunSpVa/funUrUlNT29SH4cOHY/jw4W1aBhER6bLW4/vw4cMRGBjYpvW2FN/gExFRS+zcuROJiYkNPpeVlYUlS5aYuUfUkbBYRBaRn5+PxMREi36YICIi4+PxnYiIyPQGDhyI22+/3dLdIBvGYhFRG129etXSXSAiIhtTVVUFIYSlu0FE1K7VneL1/fffY/z48XB3d4dCocDEiRNx4cIFKa62thYpKSm48847IZfL4eXlhUmTJuHs2bM6y6ubZfp///d/GDp0KJydndG9e3csWbIENTU1UtzevXshk8mwd+9endefOnUKMpkMGzdubLLfn3zyCcLDw+Hj4wNnZ2cEBARgwYIFuHLlihQzZcoUrFq1CgAgk8mkn1OnTgFoeJbqmTNnMHHiRHh5eUEulyMgIADvvfceamtr9fr47rvvYsWKFfD398ctt9yCkJAQ7N+/v7lNTh0Ii0VkdiqVCq+++ioAwN/fXzrw7d27t0UH8uHDh+Orr77C6dOndQ6cdRITExEcHAwPDw+4u7vj3nvvxfr1643yprtuAPnuu+8wbNgwuLi44LnnngPQsoMzAPz111+YPn06unfvDkdHR9x2221YvHgxNBqNTpxMJsPLL7+MDRs2oG/fvnB2dkZQUBD2798PIQTeeecd6eD+0EMP4ZdfftF5/ffff4/IyEipP76+vhgzZozeoEhEZCzWfHyv09wHBACorq7GsmXLpFy6deuGZ599VueDCQBotVrMmzcPSqUSLi4uuP/++3Hw4EG9dW7cuBEymQw5OTl47rnn0K1bN7i4uECj0bT4Aw4A/P3vf8fdd98NJycneHh44LHHHsPx48d1YqZMmYJbbrkFP/30EyIiIuDq6gofHx+8/fbbAID9+/fj/vvvh6urK/r06YNNmzbpvP7q1auYO3cu/P39pfUEBQVh27ZtrdreRETG8Nhjj+GOO+7Av/71L6hUKnz++eeIiIiAVqsFALz00kuYP38+wsLCsH37drz55pvIzs7GsGHD8Oeff+osS61W4+mnn8YzzzyDL774Ak888QSWLVuGV155xWj9/fnnn/HII49g/fr1yM7ORnx8PP7xj39g7NixUsySJUvwxBNPAAAKCgqkHx8fnwaXeeHCBQwbNgw5OTl48803sX37dowaNQpz587Fyy+/rBe/atUq5ObmIjU1FVu2bMGVK1fwyCOPoLy83Gh5kpUTRGb222+/iZkzZwoA4rPPPhMFBQWioKBAlJeXixdeeEEAEC+//LLIzs4WH3zwgejWrZvw8/MTFy5cEEIIcfToUXHfffcJpVIpvbagoEBa/pQpU8T69etFbm6uyM3NFW+++aZwdnYWiYmJOv0IDQ0VoaGhBvU9NDRUeHh4CD8/P5GWlib27Nkj8vLyRGlpqejevbvo1q2b+OCDD0R2drZ4+eWXBQDx0ksvSa+vqqoSAwYMEK6uruLdd98VOTk5YsmSJcLe3l488sgjOusCIHr27CmGDRsmPvvsM5GVlSX69OkjPDw8xOzZs8W4cePEl19+KbZs2SK8vb3FgAEDRG1trRBCiMrKSuHp6SmCgoLEP/7xD5GXlyc++eQT8eKLL4pjx44ZlDMRUUtZ+/Hd09NT+Pr6ir/97W/i66+/FrNmzRIAxIwZM6S4mpoaMXr0aOHq6ioSExNFbm6u+Oijj0T37t3FXXfdJa5evSrFTp48WchkMvHqq6+KnJwcsWLFCtG9e3fh7u4uJk+eLMVt2LBBABDdu3cXL7zwgti1a5f417/+Ja5fv96i7SaEEElJSQKAmDBhgvjqq6/Exx9/LG677TahUCjEiRMndPrk6OgoAgICxPvvvy9yc3PFs88+KwCIhQsXij59+oj169eLr7/+WkRGRgoA4tChQ9Lr4+LihIuLi1ixYoXYs2eP+PLLL8Xbb78t0tLSDNreRETG8MYbbwgAYvbs2TrtW7ZsEQBERkaGOH78uAAgpk+frhNz4MABAUAsWrRIagsNDRUAxBdffKETO23aNNGpUydx+vRpIYQQe/bsEQDEnj17dOJOnjwpAIgNGzbo9bExtbW1QqvViry8PAFA/PDDD9JzM2bMaPS1PXv21BlLFixYIACIAwcO6MS99NJLQiaTiZKSEp0+9u/fX1y/fl2KO3jwoAAgtm3b1mhfqWNhsYgs4p133hEAxMmTJ6U2Qw7kY8aMET179mx2PTU1NUKr1YqlS5cKT09PqZgiROs/TAAQ33zzjU57Sw/OH3zwgQAg/vGPf+jELV++XAAQOTk5UhsAoVQqRWVlpdT2+eefCwDinnvu0cklNTVVABA//vijEEKIQ4cOCQDi888/Nyg/IqK2svbje3MfELZt2yYAiE8//VQnrrCwUAAQq1evFkL8L+fGPsA0VCyaNGmSTmxLt1tZWZlwdnbW+9LhzJkzQi6Xi5iYGKlt8uTJev3XarWiW7duAoD4z3/+I7VfvHhR2NnZiYSEBKktMDBQPProow1sQSIi86srxNxc1BbixnHN3t5eTJ06VaxevVoAEAcPHtR7fUBAgAgODpYeh4aGCjc3N724uuLQ5s2bdR63tlj066+/igkTJghvb28hk8kEAOknMzNTijOkWDRkyBBx11136cXVjRlr1qzR6eOCBQt04q5duyYAiLfffrvB9VHHw9PQqN3Ys2cPAOideztkyBAEBATgm2++adFyvv32W4waNQoKhQJ2dnZwcHDA66+/josXL6K0tLTN/ezSpQseeughvXXeddddGDJkiE77lClTIITAt99+K8W5urpKU0pvjgOgl+OIESPg6uoqPQ4ICAAAPPzwwzqnZtS1nz59GgBwxx13oEuXLpg/fz4++OADHDt2rLXpEhG1mbUc393c3BAVFaXTFhMTg9raWnz33XcAgC+//BKdO3fG2LFjcf36dennnnvugVKplK5fUZfzM888o7O86Oho2NvbN7j+xx9/XOdxS7dbQUEBqqqq9OL8/Pzw0EMP6W1fmUyGRx55RHpsb2+PO+64Az4+Phg4cKDU7uHhAS8vL2lsqVv3rl27sGDBAuzduxdVVVUN5kJEZE5KpVLnsb29PTw9PXHx4kVcvHgRABo8fcvX11d6vo63t3ejy68f2xqVlZV44IEHcODAASxbtgx79+5FYWEhPvvsMwBo9XH14sWLjeZY9/zNPD09dR7L5fI2rZ9sD4tF1G4YeiBvyMGDBxEeHg4AWLduHf7973+jsLAQixcvBmCcg19D/WvpwfnixYtQKpU6hR4A8PLygr29vV6OHh4eOo8dHR2bbL927RoAQKFQIC8vD/fccw8WLVqEfv36wdfXF2+88YZ07jYRkblYy/G9JR8Qzp8/j0uXLsHR0REODg46P2q1Wrr2RV18Yx9gGlJ/+7R0uxm6fV1cXODk5KTT5ujoqDe21LXXjS0A8Le//Q3z58/H559/jhEjRsDDwwOPPvoofv755wZzIiIyB7VarfP4+vXruHjxIjw9PaVj7rlz5/Re98cff6Br1646befPn290+XXLqjuG1r/maP3rHzXk22+/xR9//IG///3veP755/Hggw8iKCgIbm5uzb62KZ6eno3mCEAvT6LmsFhE7YahB/KGZGZmwsHBAV9++SWio6MxbNgwBAUFGbWf9Qs9QMsPzp6enjh//rzexVhLS0tx/fp1ox7E+/fvj8zMTFy8eBHFxcV46qmnsHTpUrz33ntGWwcRUUtYy/G9JR8QunbtCk9PTxQWFjb4s3r1ap34xj7ANKT++NLS7WaM7dtSrq6uSExMxE8//QS1Wo01a9Zg//79OhdlJSIyty1btug8/sc//oHr169j+PDh0hkBGRkZOjGFhYU4fvw4Ro4cqdN++fJlbN++Xadt69at6NSpEx588EEAN+5EBgA//vijTlz91zWk7lhfN5OnzocffqgXa8hsn5EjR+LYsWP4z3/+o9P+8ccfQyaTYcSIEc0ug+hmLBaRRTR04DPkQC6Xyxs8aMpkMtjb28POzk5qq6qqwubNm43a//paenAeOXIkKisr8fnnn+vF1T1vbDKZDHfffTdWrlyJzp076/WRiMiYrPn43pIPCJGRkbh48SJqamoQFBSk99O3b18AN+7sBjT+AaYlWrrdQkJC4OzsrBd39uxZfPvttyYZW4AbM7GmTJmCCRMmoKSkBFevXjXJeoiImvPZZ59h3rx50t294uLicPfddyM6Ohp9+/bFCy+8gLS0NMyePRs5OTlYu3YtIiMj4efnh9mzZ+ssy9PTEy+99BLS09ORk5OD+Ph4rFu3DnFxcbj11lsB3Jg1OmrUKCQnJ+Ojjz5Cbm4uFixYgMzMzGb7OmzYMHTp0gUvvvgisrKy8OWXX2LChAn44Ycf9GL79+8PAFi+fDkOHDiAQ4cOobq6usHlzp49G927d8eYMWOwbt065OTk4JVXXsHq1avx0ksvoU+fPoZuVurgGj5pnsjE6g5877//PiZPngwHBwedA3mnTp3w8MMP49SpU1iyZInegbx///747LPPsGbNGgwaNAidOnVCUFAQxowZgxUrViAmJgYvvPACLl68iHfffVevcm9ss2fPxscff4wxY8Zg6dKl6NmzJ7766iu9g/OkSZOwatUqTJ48GadOnUL//v2xb98+JCUl4ZFHHsGoUaOM0p8vv/wSq1evxqOPPorbbrsNQgh89tlnuHTpEsLCwoyyDiKihljz8b3uA8KZM2fQp08f7Ny5E+vWrcNLL70kfUB4+umnsWXLFjzyyCN45ZVXMGTIEDg4OODs2bPYs2cPxo0bh8ceewwBAQGYOHEiUlNT4eDggFGjRuHIkSN499134e7u3qL+tHS7de7cGUuWLMGiRYswadIkTJgwARcvXkRiYiKcnJzwxhtvGG0bBQcHIzIyEgMGDECXLl1w/PhxbN68GSEhIXBxcTHaeoiIDPHZZ59BpVJhzZo1kMlkGDt2LFJTU6VLNaxZswa333471q9fj1WrVkGhUGD06NFITk7WOzVYqVRi1apVmDt3Lg4fPgwPDw8sWrQIiYmJOnGbN2/GzJkzMX/+fNTU1GDs2LHYtm1bs7NePT098dVXX2HOnDmYOHEiXF1dMW7cOHzyySe49957dWJjYmLw73//G6tXr8bSpUshhMDJkyelmU0369atG/Lz87Fw4UIsXLgQFRUVuO2225CSkoKEhIRWbFXq8Cx7fW3qyBYuXCh8fX1Fp06dpLsJ1NTUiOXLl4s+ffoIBwcH0bVrVzFx4kTx22+/6bz2r7/+Ek888YTo3LmzdAeBOn//+99F3759hVwuF7fddptITk4W69ev17s7T2vvltOvX78Gnzt9+rSIiYkRnp6ewsHBQfTt21e88847oqamRifu4sWL4sUXXxQ+Pj7C3t5e9OzZUyxcuFBcu3ZNJw71btcsxP/uXvDOO+/otNfdkeGf//ynEEKIn376SUyYMEHcfvvtwtnZWSgUCjFkyBCxceNGg/IlImoNaz6+7927VwQFBQm5XC58fHzEokWLhFar1YnVarXi3XffFXfffbdwcnISt9xyi7jzzjtFXFyc+Pnnn6U4jUYj5syZI7y8vISTk5MYOnSoKCgo0LuDTd3d0AoLC/X61dLtJoQQH330kRgwYIBwdHQUCoVCjBs3Thw9elQnZvLkycLV1bXR/Ovr2bOnGDNmjPR4wYIFIigoSHTp0kXaD7NnzxZ//vln4xuXiMhE6u40duHCBaMsr6n3+kQdjUyIehdPISIiIiIiImrnVCoVEhMTceHCBaNcn2348OH4888/ceTIESP0jsi68ZpFREREREREREQk4cwiIgA1NTV6dyi7mUwm07moKhERWQce34mIiIgMx5lFRLhxFzIHB4dGf26//XZLd5GIiFqBx3ciIiIiw3FmERGAkpISXL58udHn5XK5dIcfIiKyHjy+ExERERmOxSIiIiIiIiIiIpLwNDQiIiIiIiIiIpLYW7oDplJbW4s//vgDbm5ukMlklu4OEVGzhBC4fPkyfH190akTa/mmwvGBiKwJxwbz4fhARNbE1OODzRaL/vjjD/j5+Vm6G0REBvvtt9/Qo0cPS3fDZnF8ICJrxLHB9Dg+EJE1MtX4YLPFIjc3NwA3Npy7u7vRlqvVapGTk4Pw8HA4ODgYbbnthS3nZ8u5Abadny3nBvwvv5CQEPj7+0vHLzINU40PpmTrfwON6ah5Ax03946aN9B47hUVFfDz8+PYYAaGjA8d5XeVedqejpJrR8jT1OODzRaL6qaOuru7G71Y5OLiAnd3d5v8pbPl/Gw5N8C287Pl3ID/5Vd3oOfUd9My1fhgSrb+N9CYjpo30HFz76h5A83nzrHB9AwZHzrK7yrztD0dJdeOkidguvGBJz4TEREREREREZGExSIiIiIiIiIiIpKwWERERERERERERBIWi4iIiIiIiIiISMJiERERERERERERSWz2bmhE1Dq9FnxltnWdenuM2dZFRGRrzHm8BnjMJiKyFk2ND3I7gZQhQKDqa2hq2n4XLY4Ntoszi4iIiIiIiIiISMJiERERERERERERSVgsIiIiIiIiIiIiCYtFREREREREREQkYbGIiIiIiIiIiIgkLBYREREREREREZGExSIiIiIiIiIiIpKwWERERERERERERBIWi4iIiIiIiIiISMJiERERERERERERSVgsIiIiIiIiIiIiCYtFREREREREREQkYbGIiIiIiIiIiIgkLBYREREREREREZGExSIiIiIiIiIiIpKwWERERG12/fp1vPbaa/D394ezszNuu+02LF26FLW1tVKMEAIqlQq+vr5wdnbG8OHDcfToUZ3laDQazJw5E127doWrqyuioqJw9uxZnZiysjLExsZCoVBAoVAgNjYWly5dMkeaREREREQdAotFRETUZsuXL8cHH3yA9PR0HD9+HCkpKXjnnXeQlpYmxaSkpGDFihVIT09HYWEhlEolwsLCcPnyZSkmPj4eWVlZyMzMxL59+1BZWYnIyEjU1NRIMTExMSguLkZ2djays7NRXFyM2NhYs+ZLRETAd999h7Fjx8LX1xcymQyff/65zvPm/JLgzJkzGDt2LFxdXdG1a1fMmjUL1dXVpkibiKhDYLGIiIjarKCgAOPGjcOYMWPQq1cvPPHEEwgPD8ehQ4cA3PjAkJqaisWLF2P8+PEIDAzEpk2bcPXqVWzduhUAUF5ejvXr1+O9997DqFGjMHDgQGRkZODw4cPYvXs3AOD48ePIzs7GRx99hJCQEISEhGDdunX48ssvUVJSYrH8iYg6oitXruDuu+9Genp6g8+b60uCmpoajBkzBleuXMG+ffuQmZmJTz/9FHPmzDFd8kRENo7FIiIiarP7778f33zzDU6cOAEA+OGHH7Bv3z488sgjAICTJ09CrVYjPDxceo1cLkdoaCjy8/MBAEVFRdBqtToxvr6+CAwMlGIKCgqgUCgQHBwsxQwdOhQKhUKKISIi83j44YexbNkyjB8/Xu85c35JkJOTg2PHjiEjIwMDBw7EqFGj8N5772HdunWoqKgw3wYhIrIh9pbuABERWb/58+ejvLwcd955J+zs7FBTU4O33noLEyZMAACo1WoAgLe3t87rvL29cfr0aSnG0dERXbp00Yupe71arYaXl5fe+r28vKSY+jQaDTQajfS47oODVquFVqttTbpmV9dPa+mvsXTUvIGW5S63E+bqDgDz7Afuc/3crXVbNPclQVxcXLNfEkRERDT7JUHfvn1RUFCAwMBA+Pr6SjERERHQaDQoKirCiBEjGuxjW8aHjvK7yjytU1Pjg7yT0Pm3rdrrNrO1fdoQU+dmULHo+vXrUKlU2LJlC9RqNXx8fDBlyhS89tpr6NTpxiQlIQQSExOxdu1alJWVITg4GKtWrUK/fv2k5Wg0GsydOxfbtm1DVVUVRo4cidWrV6NHjx5STFlZGWbNmoXt27cDAKKiopCWlobOnTsbIW0iIjKmTz75BBkZGdi6dSv69euH4uJixMfHw9fXF5MnT5biZDKZzuuEEHpt9dWPaSi+qeUkJycjMTFRrz0nJwcuLi5Nrru9yc3NtXQXLKKj5g00nXvKEDN2BMDOnTvNti7u8/+5evWqhXrSNub8kkCtVuutp0uXLnB0dGz0iwTAOONDR/ldZZ7WpSXjw5tBtc0HtYA5x4bWsJV92hBTjw8GFYvqLmC6adMm9OvXD4cOHcKzzz4LhUKBV155BcD/zk3euHEj+vTpg2XLliEsLAwlJSVwc3MDcOPc5B07diAzMxOenp6YM2cOIiMjUVRUBDs7OwA3zk0+e/YssrOzAQAvvPACYmNjsWPHDmPmT0RERvDqq69iwYIFePrppwEA/fv3x+nTp5GcnIzJkydDqVQCgPRFQ53S0lLpDb5SqUR1dTXKysp0PjiUlpZi2LBhUsz58+f11n/hwgW9Dwp1Fi5ciISEBOlxRUUF/Pz8EB4eDnd39zZmbh5arRa5ubkICwuDg4ODpbtjNh01b6BluQeqvjZrn46oIky+Du5z/dyt/TQqc31JYOgXCUDbxoeO8rvKPK1TU+ODvJPAm0G1WHKoEzS1Tf8ttoQ5xobWsLV92hBTjw8GFYtuvoApAPTq1Qvbtm1r9AKmALBp0yZ4e3tj69atiIuLk85N3rx5M0aNGgUAyMjIgJ+fH3bv3o2IiAjp3OT9+/dLU07XrVuHkJAQlJSUoG/fvkbbAETtXa8FX7UoTm4nkDLkxuCgqWn7gZ/IEFevXpVmmNaxs7NDbe2Nb638/f2hVCqRm5uLgQMHAgCqq6uRl5eH5cuXAwAGDRoEBwcH5ObmIjo6GgBw7tw5HDlyBCkpKQCAkJAQlJeX4+DBgxgy5MbXZgcOHEB5eblUUKpPLpdDLpfrtTs4OFjdmwdr7LMxdNS8gaZzN/exvveSHJOvo24s4z530Hlsjcz5JYFSqcSBAwd0ni8rK4NWq230iwTAOONDR/ldZZ7WpSXjg6ZWZpRxpL1vL1vZpw0xdV4GFYvuv/9+fPDBBzhx4gT69OkjXcA0NTUVgHnPTa7PXNeksPVzH205P2vNraXXpDD2+cfm0NJ9Ya37rqVsIb+xY8firbfewq233op+/frh+++/x4oVK/Dcc88BuPGNb3x8PJKSktC7d2/07t0bSUlJcHFxQUxMDABAoVBg6tSpmDNnDjw9PeHh4YG5c+eif//+0pcLAQEBGD16NKZNm4YPP/wQwI2Zp5GRkfwigYioHTHnlwQhISF46623cO7cOakwlZOTA7lcjkGDBpk1byIiW2FQsag9X8DU3NeksOVzHwHbzs/acjP0mhTGOv/YHAw9x9na9p2h9uzZY+kutFpaWhqWLFmC6dOno7S0FL6+voiLi8Prr78uxcybNw9VVVWYPn26dE27nJwc6RRlAFi5ciXs7e0RHR0tXdNu48aN0inKALBlyxbMmjVL+tIhKiqq0ds2ExGR6VRWVuKXX36RHp88eRLFxcXw8PDArbfearYvCcLDw3HXXXchNjYW77zzDv766y/MnTsX06ZNs5rTjYmI2huDikXt+QKm5romha2f+2jL+Vlrbi29JoWxzz82h5ae42yt+66l6vJr7G4t1sDNzQ2pqanSTNOGyGQyqFQqqFSqRmOcnJyQlpaGtLS0RmM8PDyQkZHRht4SEZExHDp0SGfsqnsvPnnyZGzcuNFsXxLY2dnhq6++wvTp03HffffB2dkZMTExePfdd029CYiIbJZBxaL2fAFTc1+TwpbPfQRsOz9ry83Qc4mNdf6xORi6H6xt3xnKlnMjIiLbM3z4cAjR+Onv5vyS4NZbb8WXX37ZbJ+JiKhlOjUf8j+GXMC0Tt25yXWFoJvPTa5Td27yzecd152bXKe5C5gSEREREREREVHbGTSziBcwJSIiIiIiIiKybQYVi3gBUyIiIiIiIiIi22ZQsYgXMCUiIiIiIiIism0GXbOIiIiIiIiIiIhsG4tFREREREREREQkYbGIiIiIiIiIiIgkLBYREREREREREZGExSIiIiIiIiIiIpKwWERERERERERERBIWi4iIiIiIiIiISMJiERERERERERERSVgsIiIiIiIiIiIiCYtFREREREREREQkYbGIiIiIiIiIiIgkLBYREREREREREZGExSIiIiIiIiIiIpKwWERERERERERERBIWi4iIiIiIiIiISMJiERERERERERERSVgsIiIiIiIiIiIiCYtFREREREREREQkYbGIiIiIiIiIiIgkLBYREREREREREZGExSIiIjKK33//HRMnToSnpydcXFxwzz33oKioSHpeCAGVSgVfX184Oztj+PDhOHr0qM4yNBoNZs6cia5du8LV1RVRUVE4e/asTkxZWRliY2OhUCigUCgQGxuLS5cumSNFIiIyUK9evSCTyfR+ZsyYAQCYMmWK3nNDhw7VWQbHBiIi82OxiIiI2qysrAz33XcfHBwcsGvXLhw7dgzvvfceOnfuLMWkpKRgxYoVSE9PR2FhIZRKJcLCwnD58mUpJj4+HllZWcjMzMS+fftQWVmJyMhI1NTUSDExMTEoLi5GdnY2srOzUVxcjNjYWHOmS0RELVRYWIhz585JP7m5uQCAJ598UooZPXq0TszOnTt1lsGxgYjI/Owt3QEiIrJ+y5cvh5+fHzZs2CC19erVS/q/EAKpqalYvHgxxo8fDwDYtGkTvL29sXXrVsTFxaG8vBzr16/H5s2bMWrUKABARkYG/Pz8sHv3bkREROD48ePIzs7G/v37ERwcDABYt24dQkJCUFJSgr59+5ovaSIiala3bt10Hr/99tu4/fbbERoaKrXJ5XIolcoGX8+xgYjIMgwuFv3++++YP38+du3ahaqqKvTp0wfr16/HoEGDANz4QJCYmIi1a9eirKwMwcHBWLVqFfr16yctQ6PRYO7cudi2bRuqqqowcuRIrF69Gj169JBiysrKMGvWLGzfvh0AEBUVhbS0NJ1vqYmIqH3Yvn07IiIi8OSTTyIvLw/du3fH9OnTMW3aNADAyZMnoVarER4eLr1GLpcjNDQU+fn5iIuLQ1FREbRarU6Mr68vAgMDkZ+fj4iICBQUFEChUEgfBgBg6NChUCgUyM/Pb/ADgUajgUajkR5XVFQAALRaLbRardG3hSnU9dNa+mssHTVvoGW5y+2EubpjNvJON3LiPtdvtwXV1dXIyMhAQkICZDKZ1L537154eXmhc+fOCA0NxVtvvQUvLy8AMNnYQERETTOoWFR3msGIESOwa9cueHl54ddff23wNIONGzeiT58+WLZsGcLCwlBSUgI3NzcAN6aS7tixA5mZmfD09MScOXMQGRmJoqIi2NnZAbgxlfTs2bPIzs4GALzwwguIjY3Fjh07jJQ6EREZy3//+1+sWbMGCQkJWLRoEQ4ePIhZs2ZBLpdj0qRJUKvVAABvb2+d13l7e+P06dMAALVaDUdHR3Tp0kUvpu71arVa+gBxMy8vLymmvuTkZCQmJuq15+TkwMXFxfBkLaju9I2OpqPmDTSde8oQM3bEzLjP/+fq1asW6onxff7557h06RKmTJkitT388MN48skn0bNnT5w8eRJLlizBQw89hKKiIsjlcpONDUDbvkzoKMVs5mmdmvoyoa4oX/dvW7XXbWZr+7Qhps7NoGIRTzMgIqKG1NbWIigoCElJSQCAgQMH4ujRo1izZg0mTZokxd38TTJwY9yo31Zf/ZiG4ptazsKFC5GQkCA9rqiogJ+fH8LDw+Hu7t58cu2AVqtFbm4uwsLC4ODgYOnumE1HzRtoWe6Bqq/N3CvTk3cSeDOolvv8ptzrChi2YP369Xj44Yfh6+srtT311FPS/wMDAxEUFISePXviq6++kj5PNKStYwNgnC8TOkphk3lal5Z8mfBmUK1R1lX/GmPtja3s04aY+ssEg4pF7fk0AyIishwfHx/cddddOm0BAQH49NNPAUC6FoVarYaPj48UU1paKs02UiqVqK6uRllZmc43yKWlpRg2bJgUc/78eb31X7hwQW/WUh25XA65XK7X7uDgYHUfRq2xz8bQUfMGms5dU9N0odWacZ876Dy2BadPn8bu3bvx2WefNRnn4+ODnj174ueffwZgurEBaNuXCR2lmM08rVNTXybUFeWXHOoETW3bx5Ejqog2L8MUbG2fNsTUXyYYVCxqz6cZmOuaFLY+nc2W87PW3Fp6TQpjTyk1h5buC2vddy1lC/ndd999KCkp0Wk7ceIEevbsCQDw9/eHUqlEbm4uBg4cCODGtSvy8vKwfPlyAMCgQYPg4OCA3NxcREdHAwDOnTuHI0eOICUlBQAQEhKC8vJyHDx4EEOG3Pja7MCBAygvL5c+NBARUfuzYcMGeHl5YcyYMU3GXbx4Eb/99pv0xYIpxwZjfJnQUQqbzNO6tOTLBE2tzChfOrT37WUr+7Qhps7LoGJRez7NwNzXpLDl6WyAbednbbkZek0KY00pNQdDp61a274z1J49eyzdhVabPXs2hg0bhqSkJERHR+PgwYNYu3Yt1q5dC+DGMT0+Ph5JSUno3bs3evfujaSkJLi4uCAmJgYAoFAoMHXqVMyZMweenp7w8PDA3Llz0b9/f+m05YCAAIwePRrTpk3Dhx9+CODGNe0iIyM565SIqJ2qra3Fhg0bMHnyZNjb/+/jR2VlJVQqFR5//HH4+Pjg1KlTWLRoEbp27YrHHnsMAMcGIiJLMahY1J5PMzDXNSlsfTqbLednrbm19JoUxp5Sag4tnbZqrfuuperyGzFihKW70mqDBw9GVlYWFi5ciKVLl8Lf3x+pqal45plnpJh58+ahqqoK06dPl+6WmZOTI938AABWrlwJe3t7REdHS3fL3Lhxo3TzAwDYsmULZs2aJZ3OHBUVhfT0dPMlS0REBtm9ezfOnDmD5557Tqfdzs4Ohw8fxscff4xLly7Bx8cHI0aMwCeffMKxgYjIwgwqFrXn0wzMfU0KW57OBth2ftaWm6HTQ401pdQcDN0P1rbvDGXtuUVGRiIyMrLR52UyGVQqFVQqVaMxTk5OSEtLQ1paWqMxHh4eyMjIaEtXiYjIjMLDwyGE/mnyzs7O+Prr5r8U49hARGR+BhWLeJoBEREREREREZFtM6hYxNMMiIiIiIiIiIhsm0HFIoCnGRARERERERER2bJOlu4AERERERERERG1HywWERERERERERGRhMUiIiIiIiIiIiKSsFhEREREREREREQSFouIiIiIiIiIiEjCYhEREREREREREUlYLCIiIiIiIiIiIgmLRUREREREREREJGGxiIiIiIiIiIiIJCwWERERERERERGRhMUiIiIiIiIiIiKSsFhEREREREREREQSFouIiIiIiIiIiEjCYhEREREREREREUlYLCIiIiIiIiIiIgmLRUREREREREREJGGxiIiIiIiIiIiIJCwWERERERERERGRhMUiIiIiIiIiIiKSsFhEREREREREREQSFouIiIiIiIiIiEjCYhERERlVcnIyZDIZ4uPjpTYhBFQqFXx9feHs7Izhw4fj6NGjOq/TaDSYOXMmunbtCldXV0RFReHs2bM6MWVlZYiNjYVCoYBCoUBsbCwuXbpkhqyIiIiIiDoOFouIiMhoCgsLsXbtWgwYMECnPSUlBStWrEB6ejoKCwuhVCoRFhaGy5cvSzHx8fHIyspCZmYm9u3bh8rKSkRGRqKmpkaKiYmJQXFxMbKzs5GdnY3i4mLExsaaLT8iIjKMSqWCTCbT+VEqldLz/DKBiKh9YrGIiIiMorKyEs888wzWrVuHLl26SO1CCKSmpmLx4sUYP348AgMDsWnTJly9ehVbt24FAJSXl2P9+vV47733MGrUKAwcOBAZGRk4fPgwdu/eDQA4fvw4srOz8dFHHyEkJAQhISFYt24dvvzyS5SUlFgkZyIial6/fv1w7tw56efw4cPSc/wygYiofWpTsYinGhARUZ0ZM2ZgzJgxGDVqlE77yZMnoVarER4eLrXJ5XKEhoYiPz8fAFBUVAStVqsT4+vri8DAQCmmoKAACoUCwcHBUszQoUOhUCikGCIian/s7e2hVCqln27dugHglwlERO2ZfWtf2NypBhs3bkSfPn2wbNkyhIWFoaSkBG5ubgBufDuwY8cOZGZmwtPTE3Pm/L/27j0uyjL9H/hnhGE4BJNgMKCoWOQhsFhURC0tBTSJWr8bFYlaprYeCclDbhtWgtKm7kKZmqsmmu6uumkZMpbiuqgoSXmKTngqRswQUHQY4f794Y9nHYbT4Jz5vF8vXzXPXPPMdT0z3PfMNc9hNmJjY1FYWAgnJycAt34duHDhAnJycgAAkydPRmJiInbu3NnWlImIyEw2b96MwsJCHD161OA+jUYDAPDz89Nb7ufnh7Nnz0oxLi4uensk1cfUP16j0cDX19dg/b6+vlJMY7RaLbRarXS7srISAKDT6aDT6VpTntXV52kv+ZpKe60baF3tCidhqXQsRtHhVk18zQ2X27Pvv/8eAQEBUCgUiIiIQFpaGnr06NHijwlTpkxp8ceEmJiYFn9M6NmzZ6N53cn80F7GJ9Zpn5qbH+rH2fr/3ilb3WaO9po2xty1talZdPuhBm+//ba0vOGvAwCwfv16+Pn5YdOmTZgyZYr068CGDRukX5+zs7MRGBiIPXv2ICYmRvp14NChQ9Kgv3r1akRGRqK4uLjJAZ+IiCzv/PnzmDVrFnJzc+Hq6tpknEwm07sthDBY1lDDmMbiW1pPeno6Fi5caLA8NzcX7u7uzT6/rVGr1dZOwSraa91A87VnDLBgIhbG1/x/qqurrZSJaUREROCjjz7C/fffj4sXL+Ltt9/GoEGDcPLkSav/mGCK+aG9vFdZp31pzfzwVr86kzzXrl27TLIec3GU17Qx5p4f2tQsuv1Qg9ubRdb8dcBSvxw7eofSkeuz19pa+8uxqX8lsITWvhb2+tq1lr3XV1hYiLKyMoSHh0vLamtrsX//fmRlZUmHAGg0Gvj7+0sxZWVl0hcElUqFmpoalJeX630hKCsrw6BBg6SYixcvGjz/pUuXDL5o3G7+/PlITk6WbldWViIwMBDR0dHw8vJqY9WWpdPpoFarERUVBblcbu10LKa91g20rvaQ1N0Wzsr8FB0E3upXx9f8ttrrP9Paq1GjRkn/HxoaisjISNx7771Yv349Bg4cCMB6PybcyfzQXsYn1mmfmpsf6sfZ1492gLau+b+z1jiRGnPH6zAHR3tNG2Pu+cHoZpGtHmpg6V+OHblDCTh2ffZWm7G/HJvqVwJLMPaXCHt77Yy1d+9ea6fQJsOHD9c7WSkAvPDCC+jVqxfmzp2LHj16QKVSQa1WIywsDABQU1ODvLw8LFmyBAAQHh4OuVwOtVqN+Ph4AEBpaSlOnDiBjIwMAEBkZCQqKipQUFCAAQNu/WEcPnwYFRUVUkOpMQqFAgqFwmC5XC63uw8P9pizKbTXuoHma9fW3vmHfFvF11yud9uReHh4IDQ0FN9//z2eeuopANb7McEU80N7ea+yzjvXfd5nZllv41qeH7R1MpPMI7b+vnDk96656zKqWWTLhxpY6pdjR+9QOnJ99lpba385NvWvBJbQ2l8i7PW1a636+h599FFrp9Imnp6eCAkJ0Vvm4eEBHx8faXlSUhLS0tIQHByM4OBgpKWlwd3dHQkJCQAApVKJiRMnYvbs2fDx8YG3tzdSUlIQGhoqHbLcu3dvjBw5EpMmTcLKlSsB3DqfXWxsLA9PJiKyE1qtFqdPn8bDDz+MoKAgq/6YQERETTOqWWTLhxpY+pdjR+5QAo5dn73VZmzH31S/EliCsa+Dvb12xnLk2ubMmYPr169j6tSpKC8vR0REBHJzc6ULHwDAsmXL4OzsjPj4eFy/fh3Dhw/HunXrpAsfAMDGjRsxc+ZM6VDmuLg4ZGVlWbweIiJqnZSUFDzxxBPo2rUrysrK8Pbbb6OyshLjx4+XrqrMHxOIiGyPUc0iWz/UgIiIbMO+ffv0bstkMqSmpiI1NbXJx7i6uiIzMxOZmZlNxnh7eyM7O9tEWRIRkblduHABzz33HH799Vfcc889GDhwIA4dOoRu3boB4I8JRES2yqhmEQ81ICIiIiKi1tq8eXOz9/PHBCIi29Smq6E1h78OEBERERERERHZrztuFvFQAyIiIiIiIiIix9HB2gkQEREREREREZHtYLOIiIiIiIiIiIgkbBYREREREREREZGEzSIiIiIiIiIiIpKwWURERERERERERBI2i4iIiIiIiIiISMJmERERERERERERSdgsIiIiIiIiIiIiCZtFREREREREREQkYbOIiIiIiIiIiIgkbBYREREREREREZGEzSIiIiIiIiIiIpKwWURERERERERERBI2i4iIiIiIiIiISMJmERERERERERERSdgsIiIiIiIiIiIiCZtFREREREREREQkYbOIiIiIiIiIiIgkbBYREREREREREZGEzSIiIiIiIiIiIpKwWURERERERERERBJnaydARERERERERPan+7zPLPp8ZxaPtujztWfcs4iIiO5Yeno6+vfvD09PT/j6+uKpp55CcXGxXowQAqmpqQgICICbmxuGDRuGkydP6sVotVrMmDEDnTp1goeHB+Li4nDhwgW9mPLyciQmJkKpVEKpVCIxMRFXrlwxd4lERNQGrZkfJkyYAJlMpvdv4MCBejGcH4iILMuoZhG/DBARUWPy8vIwbdo0HDp0CGq1Gjdv3kR0dDSuXbsmxWRkZGDp0qXIysrCkSNHoFKpEBUVhaqqKikmKSkJ27dvx+bNm3HgwAFcvXoVsbGxqK2tlWISEhJQVFSEnJwc5OTkoKioCImJiRatl4iIWqc18wMAjBw5EqWlpdK/Xbt26d3P+YGIyLKMOgytfrDv378/bt68iQULFiA6OhqnTp2Ch4cHgP99GVi3bh3uv/9+vP3224iKikJxcTE8PT0B3Brsd+7cic2bN8PHxwezZ89GbGwsCgsL4eTkBODWYH/hwgXk5OQAACZPnozExETs3LnTlPUTEZEJ1I/V9dauXQtfX18UFhbikUcegRACy5cvx4IFCzBmzBgAwPr16+Hn54dNmzZhypQpqKiowJo1a7BhwwaMGDECAJCdnY3AwEDs2bMHMTExOH36NHJycnDo0CFEREQAAFavXo3IyEgUFxejZ8+eli2ciIia1dL8UE+hUEClUjW6Ds4PRESWZ1SziF8GiIioNSoqKgAA3t7eAICSkhJoNBpER0dLMQqFAkOHDkV+fj6mTJmCwsJC6HQ6vZiAgACEhIQgPz8fMTExOHjwIJRKpTQ3AMDAgQOhVCqRn5/f6Pyg1Wqh1Wql25WVlQAAnU4HnU5n2sLNpD5Pe8nXVNpr3UDralc4CUulYzGKDrdq4mtuuNxRNJwf6u3btw++vr64++67MXToUCxatAi+vr4AYJPzQ3sZn1in6djKmF0/ztb/19609jVqD+9dc9d2Rye4bo9fBhz9TefI9dlrba2dWOxx4Odgf4uj1SeEQHJyMoYMGYKQkBAAgEajAQD4+fnpxfr5+eHs2bNSjIuLCzp27GgQU/94jUYjfXm4na+vrxTTUHp6OhYuXGiwPDc3F+7u7kZWZ11qtdraKVhFe60baL72jAEWTMTC+Jr/T3V1tZUyMb3G5gcAGDVqFJ5++ml069YNJSUleP311/HYY4+hsLAQCoXCpueH9vJeZZ13ztbG7Lf61Vk7hTZpeIhqSxz5vWvu+aHNzaL2/mXAkd90gGPXZ2+1GTux2NPAz8Fe3969e62dgklMnz4d33zzDQ4cOGBwn0wm07sthDBY1lDDmMbim1vP/PnzkZycLN2urKxEYGAgoqOj4eXl1exz2wqdTge1Wo2oqCjI5XJrp2Mx7bVuoHW1h6TutnBW5qfoIPBWvzq+5rfVXv8DqCNoan545plnpP8PCQlBv3790K1bN3z22WfS0QqNseb80F7GJ9ZpOrYyZtePs68f7QBtXfOfwWzRidSYVsW1h/euueeHNjeL2uuXAUd/0zlyffZaW2snFnsc+DnY31Jf36OPPmrtVO7YjBkzsGPHDuzfvx9dunSRltefh0Kj0cDf319aXlZWJv3AoFKpUFNTg/Lycr0fFMrKyjBo0CAp5uLFiwbPe+nSJYMfKuopFAooFAqD5XK53O7eT/aYsym017qB5mvX1trHWN8WfM3lercdQVPzQ2P8/f3RrVs3fP/99wBse35oL+9V1nnnbG3M1tbJbC6n1jD29XHk966562pTs4hfBhz7TQc4dn32Vpuxg7g9Dfwc7PXZc21CCMyYMQPbt2/Hvn37EBQUpHd/UFAQVCoV1Go1wsLCAAA1NTXIy8vDkiVLAADh4eGQy+VQq9WIj48HAJSWluLEiRPIyMgAAERGRqKiogIFBQUYMODWbneHDx9GRUWFNIcQEZHtaGl+aMzly5dx/vx56fsE5wciIsvrYEywEALTp0/Htm3b8OWXXzb7ZaBe/ZeB+kH69sG+Xv1gXx9z+2Bfj4M9EZHtmjZtGrKzs7Fp0yZ4enpCo9FAo9Hg+vXrAG7tLZqUlIS0tDRs374dJ06cwIQJE+Du7o6EhAQAgFKpxMSJEzF79mx88cUXOHbsGMaOHYvQ0FDpggi9e/fGyJEjMWnSJBw6dAiHDh3CpEmTEBsby4sfEBHZoJbmh6tXryIlJQUHDx7EmTNnsG/fPjzxxBPo1KkTfv/73wPg/EBEZA1G7Vk0bdo0bNq0CZ988ok02AO3BnA3Nze9LwPBwcEIDg5GWlpak18GfHx84O3tjZSUlCYH+5UrVwIAJk+ezMGeiMhGrVixAgAwbNgwveVr167FhAkTAABz5szB9evXMXXqVJSXlyMiIgK5ubnw9PSU4pctWwZnZ2fEx8fj+vXrGD58ONatWwcnJycpZuPGjZg5c6Z0oYS4uDhkZWWZt0AiImqTluYHJycnHD9+HB999BGuXLkCf39/PProo9iyZQvnByIiKzKqWcQvA0RE1BghWr4Kn0wmQ2pqKlJTU5uMcXV1RWZmJjIzM5uM8fb2RnZ2dlvSJCIiC2tpfnBzc8Pu3S2fn5HzAxGRZRnVLOKXASIiIiIiIiIix2bUOYuIiIiIiIiIiMixsVlEREREREREREQSow5DIyIiIqKmdZ/3mUnWo3ASyBgAhKTuhrZWZpJ1EhEREbUW9ywiIiIiIiIiIiIJ9ywiIiIiIptiyT2qziwebZHnISIisidsFhGR1bT2cA1THY7BLwREREREREQt42FoREREREREREQkYbOIiIiIiIiIiIgkbBYREREREREREZGEzSIiIiIiIiIiIpKwWURERERERERERBJeDY2oDVp7FS8iIiIiIiIie8M9i4iIiIiIiIiISMJmERERERERERERSdgsIiIiIiIiIiIiCZtFREREREREREQkYbOIiIiIiIiIiIgkbBYREREREREREZGEzSIiIiIiIiIiIpI4WzsBIiIiIiIiIkvqPu8z6f8VTgIZA4CQ1N3Q1sqsmBWR7eCeRUREREREREREJGGziIiIiIiIiIiIJDwMjYiIiBzW7YcZEBEREVHr2PyeRe+//z6CgoLg6uqK8PBw/Oc//7F2SkREZGWcG4iIqDGcH4iITMOm9yzasmULkpKS8P7772Pw4MFYuXIlRo0ahVOnTqFr167WTo9sTEu/HvPEdUSOgXMDERE1hvMDkeNr7R7Dpvjud2bx6DY9zlHYdLNo6dKlmDhxIl566SUAwPLly7F7926sWLEC6enpVs6OiIisgXMDERE1hvOD/eOhw0S2w2abRTU1NSgsLMS8efP0lkdHRyM/P99KWZExONiTrbHke7K9/xJhLpwbHIMlfxUkaomlP69wfjAPzg9ERKZls82iX3/9FbW1tfDz89Nb7ufnB41GYxCv1Wqh1Wql2xUVFQCA3377DTqdzmR56XQ6VFdX4/Lly5DL5SZbr6VEpH/R7P2KDgJ/CqvDQwu2QVt3Zx/Mbe3N5VwnUF1dB2ddB9TeYW22yJHrs8faLl++3OrY+nHlt99+AwAIIcyVlt0zdm4ALDc/mJMl5p6W5gdTau38YI9/+6bSXmtvD3U3NT809XdeVVUFgHNDSyw9P9j7d4LWemTJHpN9N2gNa31/aA9jT732Uqsp6jTm87w1mHt+sLXv8wZkMv0XVghhsAwA0tPTsXDhQoPlQUFBZsvNUSVYOwEzcuTaAMeuz95q6/Ru2x9bVVUFpVJpumQcUGvnBoDzg72zt799U2qvtTt63W2dHzg3tA7nB9Nz9L/Jeu2lTqD91Hqndd7J53lLMtf8YLPNok6dOsHJycngl4CysjKDXwwAYP78+UhOTpZu19XV4bfffoOPj0+TE0RbVFZWIjAwEOfPn4eXl5fJ1msrHLk+R64NcOz6HLk24H/1nTt3DjKZDAEBAdZOyWYZOzcAlpsfzMnR/waa0l7rBtpv7e21bqDp2oUQqKqq4tzQAkvPD+3lvco6HU97qbU91Gnu+cFmm0UuLi4IDw+HWq3G73//e2m5Wq3Gk08+aRCvUCigUCj0lt19991my8/Ly8th33SAY9fnyLUBjl2fI9cGAEql0qHrMwVj5wbA8vODOTn630BT2mvdQPutvb3WDTReO/coapm15of28l5lnY6nvdTq6HWac36w2WYRACQnJyMxMRH9+vVDZGQkVq1ahXPnzuHll1+2dmpERGQlnBuIiKgxnB+IiEzHpptFzzzzDC5fvow333wTpaWlCAkJwa5du9CtWzdrp0ZERFbCuYGIiBrD+YGIyHRsulkEAFOnTsXUqVOtnYZEoVDgjTfeMNhl1VE4cn2OXBvg2PU5cm2A49dnDrY2N5hbe32PtNe6gfZbe3utG2jftZuSpeaH9vJ6sU7H015qbS91mpNM8DqcRERERERERET0/3WwdgJERERERERERGQ72CwiIiIiIiIiIiIJm0VERERERERERCRhs4iIiIiIiIiIiCRsFrVSeno6+vfvD09PT/j6+uKpp55CcXGxtdMyi/T0dMhkMiQlJVk7FZP5+eefMXbsWPj4+MDd3R0PPfQQCgsLrZ3WHbt58yb+9Kc/ISgoCG5ubujRowfefPNN1NXVWTu1Ntm/fz+eeOIJBAQEQCaT4d///rfe/UIIpKamIiAgAG5ubhg2bBhOnjxpnWSN1FxtOp0Oc+fORWhoKDw8PBAQEIBx48bhl19+sV7CZBPa09zTHEecl5riqPNVSxxtPmuOI891jq69jsmOPga3h3HXkcdYjqnmw2ZRK+Xl5WHatGk4dOgQ1Go1bt68iejoaFy7ds3aqZnUkSNHsGrVKvTt29faqZhMeXk5Bg8eDLlcjs8//xynTp3Cu+++i7vvvtvaqd2xJUuW4IMPPkBWVhZOnz6NjIwMvPPOO8jMzLR2am1y7do1PPjgg8jKymr0/oyMDCxduhRZWVk4cuQIVCoVoqKiUFVVZeFMjddcbdXV1fjqq6/w+uuv46uvvsK2bdvw3XffIS4uzgqZki1pL3NPcxxxXmqKI89XLXG0+aw5jjzXObr2OCY7+hjcXsZdRx5jOaaakaA2KSsrEwBEXl6etVMxmaqqKhEcHCzUarUYOnSomDVrlrVTMom5c+eKIUOGWDsNsxg9erR48cUX9ZaNGTNGjB071koZmQ4AsX37dul2XV2dUKlUYvHixdKyGzduCKVSKT744AMrZNh2DWtrTEFBgQAgzp49a5mkyC444tzTHEedl5riyPNVSxx5PmuOI8917YGjj8ntYQxuL+NuexljOaaaFvcsaqOKigoAgLe3t5UzMZ1p06Zh9OjRGDFihLVTMakdO3agX79+ePrpp+Hr64uwsDCsXr3a2mmZxJAhQ/DFF1/gu+++AwB8/fXXOHDgAB5//HErZ2Z6JSUl0Gg0iI6OlpYpFAoMHToU+fn5VszMPCoqKiCTyRzuly26M4449zTHUeelpjjyfNWS9jSfNae9zXX2ztHH5PYwBreXcbe9jrEcU++Ms7UTsEdCCCQnJ2PIkCEICQmxdjomsXnzZhQWFuLo0aPWTsXkfvrpJ6xYsQLJycl47bXXUFBQgJkzZ0KhUGDcuHHWTu+OzJ07FxUVFejVqxecnJxQW1uLRYsW4bnnnrN2aian0WgAAH5+fnrL/fz8cPbsWWukZDY3btzAvHnzkJCQAC8vL2unQzbCEeee5jjyvNQUR56vWtKe5rPmtKe5zt45+pjcXsbg9jLuttcxlmPqnWGzqA2mT5+Ob775BgcOHLB2KiZx/vx5zJo1C7m5uXB1dbV2OiZXV1eHfv36IS0tDQAQFhaGkydPYsWKFXY/CWzZsgXZ2dnYtGkTHnjgARQVFSEpKQkBAQEYP368tdMzC5lMpndbCGGwzJ7pdDo8++yzqKurw/vvv2/tdMiGONrc0xxHn5ea4sjzVUva43zWHEef6xyBI4/J7WkMbi/jbnsfYzmmtg2bRUaaMWMGduzYgf3796NLly7WTsckCgsLUVZWhvDwcGlZbW0t9u/fj6ysLGi1Wjg5OVkxwzvj7++PPn366C3r3bs3tm7daqWMTOfVV1/FvHnz8OyzzwIAQkNDcfbsWaSnpzvcwK9SqQDc+oXA399fWl5WVmbwa4G90ul0iI+PR0lJCb788kvuVUQSR5x7muPo81JTHHm+akl7ms+a0x7mOkfg6GNyexqD28u4217HWI6pd4bnLGolIQSmT5+Obdu24csvv0RQUJC1UzKZ4cOH4/jx4ygqKpL+9evXD88//zyKiorsfjIYPHiwwWVNv/vuO3Tr1s1KGZlOdXU1OnTQ/zN2cnJyiMtgNhQUFASVSgW1Wi0tq6mpQV5eHgYNGmTFzEyjvlH0/fffY8+ePfDx8bF2SmQDHHnuaY6jz0tNceT5qiXtaT5rjqPPdfauvYzJ7WkMbi/jbnsdYzmm3hnuWdRK06ZNw6ZNm/DJJ5/A09NTOv5RqVTCzc3NytndGU9PT4NjrT08PODj4+MQx2C/8sorGDRoENLS0hAfH4+CggKsWrUKq1atsnZqd+yJJ57AokWL0LVrVzzwwAM4duwYli5dihdffNHaqbXJ1atX8cMPP0i3S0pKUFRUBG9vb3Tt2hVJSUlIS0tDcHAwgoODkZaWBnd3dyQkJFgx69ZprraAgAD84Q9/wFdffYVPP/0UtbW10hjj7e0NFxcXa6VNVubIc09zHH1eaoojz1ctcbT5rDmOPNc5uvYyJrenMbi9jLuOPMZyTDUjq12Hzc4AaPTf2rVrrZ2aWTja5TF37twpQkJChEKhEL169RKrVq2ydkomUVlZKWbNmiW6du0qXF1dRY8ePcSCBQuEVqu1dmptsnfv3kb/zsaPHy+EuHX5yzfeeEOoVCqhUCjEI488Io4fP27dpFupudpKSkqaHGP27t1r7dTJitrb3NMcR5uXmuKo81VLHG0+a44jz3WOrj2PyY48BreHcdeRx1iOqeYjE0II87ShiIiIiIiIiIjI3vCcRUREREREREREJGGziIiIiIiIiIiIJGwWERERERERERGRhM0iIiIiIiIiIiKSsFlEREREREREREQSNouIiIiIiIiIiEjCZhEREREREREREUnYLCIiIiIiIiIiIgmbRUREREREREREJGGziKwqNTUVMpkMv/76q7VTabN169ZBJpPh6NGjJlvnhAkT0L1791bFymQypKammuy5iYjsVcPxsH58PnPmjNVyAv431xERUctsdSyfMGEC7rrrLqvmYK+6d++OCRMmWDsNMhKbRUREROSQRo8ejYMHD8Lf39+qebz00ks4ePCgVXMgIrJXtjKWE7U3ztZOgIiIiMgc7rnnHtxzzz3WTgNdunRBly5drJ0GEZFdspWxnKi94Z5FZBMuXryI5557DkqlEn5+fnjxxRdRUVEh3X/jxg3Mnz8fQUFBcHFxQefOnTFt2jRcuXJFbz1NHZLVcNfH6upqpKSkICgoCK6urvD29ka/fv3w8ccf6z3u6NGjiIuLg7e3N1xdXREWFoZ//OMfjdZQVVWFP/7xj+jUqRN8fHwwZswY/PLLL3oxdXV1yMjIQK9evaBQKODr64tx48bhwoULLW6jyspKTJo0CT4+PrjrrrswcuRIfPfddwZxly5dwuTJkxEYGAiFQoF77rkHgwcPxp49e1p8DiKiO1F/uNU333yDp59+GkqlEt7e3khOTsbNmzdRXFyMkSNHwtPTE927d0dGRobe4ysrK6WxuX6sT0pKwrVr1wziWjMeNnboglqtxpNPPokuXbrA1dUV9913H6ZMmWJwOHR9LSdPnmx2fjJmu9yue/fuiI2NRU5ODn73u9/Bzc0NvXr1wt///neDx//888/SuO7i4oKAgAD84Q9/wMWLF6WYc+fOYezYsfD19YVCoUDv3r3x7rvvoq6uToo5c+YMZDIZ3nnnHSxZsgTdu3eHm5sbhg0bhu+++w46nQ7z5s1DQEAAlEolfv/736OsrMwgny1btiAyMhIeHh646667EBMTg2PHjhm1TYjIdnEsb94PP/yAxx9/HHfddRcCAwMxe/ZsaLVavZjffvsNU6dORefOneHi4oIePXpgwYIFenH1Y/K6desMnqPhd5rWfr7fs2cPhg8fDi8vL7i7u2Pw4MH44osvWl2bTqeDr68vEhMTDe67cuUK3NzckJycDODW97PZs2fjoYcekt4jkZGR+OSTT1p8nqYOLdy3bx9kMhn27dtn0rqobbhnEdmE//u//8MzzzyDiRMn4vjx45g/fz4A4O9//zuEEHjqqafwxRdfYP78+Xj44YfxzTff4I033sDBgwdx8OBBKBQKo54vOTkZGzZswNtvv42wsDBcu3YNJ06cwOXLl6WYvXv3YuTIkYiIiMAHH3wApVKJzZs345lnnkF1dbXBcbcvvfQSRo8ejU2bNuH8+fN49dVXMXbsWHz55ZdSzB//+EesWrUK06dPR2xsLM6cOYPXX38d+/btw1dffYVOnTo1mm/9NsjPz8ef//xn9O/fH//9738xatQog9jExER89dVXWLRoEe6//35cuXIFX331lV5tRETmFB8fj7Fjx2LKlClQq9XIyMiATqfDnj17MHXqVKSkpGDTpk2YO3cu7rvvPowZMwbV1dUYOnQoLly4gNdeew19+/bFyZMn8ec//xnHjx/Hnj17IJPJjBoPG/Pjjz8iMjISL730EpRKJc6cOYOlS5diyJAhOH78OORyuV58c/PTnfr6668xe/ZszJs3D35+fvjwww8xceJE3HfffXjkkUcA3GoU9e/fHzqdTtouly9fxu7du1FeXg4/Pz9cunQJgwYNQk1NDd566y10794dn376KVJSUvDjjz/i/fff13ve9957D3379sV7772HK1euYPbs2XjiiScQEREBuVyOv//97zh79ixSUlLw0ksvYceOHdJj09LS8Kc//QkvvPAC/vSnP6GmpgbvvPMOHn74YRQUFKBPnz53vF2IyDZwLDek0+kQFxeHiRMnYvbs2di/fz/eeustKJVK/PnPfwZwq4ny6KOP4scff8TChQvRt29f/Oc//0F6ejqKiorw2WefGfWcQOs+32dnZ2PcuHF48sknsX79esjlcqxcuRIxMTHYvXs3hg8f3uLzyOVyjB07Fh988AHee+89eHl5Sfd9/PHHuHHjBl544QUAgFarxW+//YaUlBR07twZNTU12LNnD8aMGYO1a9di3LhxRtfZGFPURW0kiKzojTfeEABERkaG3vKpU6cKV1dXUVdXJ3JychqN2bJliwAgVq1aJS0DIN544w2D5+nWrZsYP368dDskJEQ89dRTzebWq1cvERYWJnQ6nd7y2NhY4e/vL2pra4UQQqxdu1YAEFOnTtWLy8jIEABEaWmpEEKI06dPNxp3+PBhAUC89tpr0rLx48eLbt26Sbc///xzAUD89a9/1XvsokWLDGq+6667RFJSUrO1ERGZQ/2Y/u677+otf+ihhwQAsW3bNmmZTqcT99xzjxgzZowQQoj09HTRoUMHceTIEb3H/utf/xIAxK5du4QQxo2H9eNzSUlJo/nW1dUJnU4nzp49KwCITz75xKCW5uan1qpf1+26desmXF1dxdmzZ6Vl169fF97e3mLKlCnSshdffFHI5XJx6tSpJtc/b948AUAcPnxYb/kf//hHIZPJRHFxsRBCiJKSEgFAPPjgg9IcJoQQy5cvFwBEXFyc3uOTkpIEAFFRUSGEEOLcuXPC2dlZzJgxQy+uqqpKqFQqER8f35rNQUQ2jmN548aPHy8AiH/84x96yx9//HHRs2dP6fYHH3zQaNySJUsEAJGbmyuE+N+YvHbtWoPnMvbz/bVr14S3t7d44okn9JbX1taKBx98UAwYMKC1ZYpvvvnG4DuWEEIMGDBAhIeHN/m4mzdvCp1OJyZOnCjCwsL07mv4Xayp13Tv3r0CgNi7d6/J6yLj8TA0sglxcXF6t/v27YsbN26grKxM2jOn4Z48Tz/9NDw8PNq0C+KAAQPw+eefY968edi3bx+uX7+ud/8PP/yAb7/9Fs8//zwA4ObNm9K/xx9/HKWlpSguLm6xBgA4e/YsgFt7KjVWx4ABA9C7d+9m66h/bH0+9RISEhqtbd26dXj77bdx6NAh6HS6JtdLRGQOsbGxerd79+4NmUym94uxs7Mz7rvvPmmM/PTTTxESEoKHHnpIb8yNiYnR2yXdmPGwMWVlZXj55ZcRGBgIZ2dnyOVydOvWDQBw+vRpg/jm5qc79dBDD6Fr167SbVdXV9x///3SNgGAzz//HI8++ih69+7d5Hq+/PJL9OnTBwMGDNBbPmHCBAgh9PZwBYDHH38cHTr87yNg/bpHjx6tF1e//Ny5cwCA3bt34+bNmxg3bpzea+Tq6oqhQ4caHDZARPaNY7khmUyGJ554wmBdt4/bX375JTw8PPCHP/xBL67+O0Bbv7s09/k+Pz8fv/32G8aPH6+33evq6jBy5EgcOXLE4DDApoSGhiI8PBxr166Vlp0+fRoFBQV48cUX9WL/+c9/YvDgwbjrrruk12HNmjWNvgZtYcq6yHg8DI1sgo+Pj97t+sPKrl+/jsuXL8PZ2dngxHYymQwqlapNh1f97W9/Q5cuXbBlyxYsWbIErq6uiImJwTvvvIPg4GDpPBApKSlISUlpdB0Nj4lurgYAUp6NXckhICBAb5JpqH4bNHwOlUplELtlyxa8/fbb+PDDD/H666/jrrvuwu9//3tkZGQ0Gk9EZGre3t56t11cXODu7g5XV1eD5ZWVlQBunbvuhx9+MDh0oF79mGvMeNhQXV0doqOj8csvv+D1119HaGgoPDw8UFdXh4EDBxr8cAC0PLbfiYbrrl//7eu+dOlSiyfHvnz5Mrp3726wPCAgQLr/do29Ps0tv3HjBgBIc2P//v0bzeP2BhQR2T+O5YYaq1+hUEjjJHCrNpVKZXCuOl9fXzg7O7fpu0tLn+/rx+eGDarb/fbbb/Dw8GjV87344ouYNm0avv32W/Tq1Qtr166FQqHAc889J8Vs27YN8fHxePrpp/Hqq69CpVLB2dkZK1asMMmh2gBMXhcZh80isnk+Pj64efMmLl26pNcwEkJAo9HofWhVKBQGJ5gDDD8oe3h4YOHChVi4cCEuXrwo7WX0xBNP4Ntvv5XOHTR//nyMGTOm0bx69uxpdB0AUFpaavDB/5dffmnyfEX1j7158yYuX76sN9lpNBqD2E6dOmH58uVYvnw5zp07hx07dmDevHkoKytDTk6OUTkTEVlKp06d4Obm1uQHzPox0pjxsKETJ07g66+/xrp16zB+/Hhp+Q8//HCH2ZvPPffc0+JFEHx8fFBaWmqwvP4iC83NL8aoX8+//vUv6Rd8IqLbcSy/Vdvhw4chhNBrGJWVleHmzZvSNqhvOjX87tJYM6mlz/f168zMzMTAgQMbzcvPz6/VNTz33HNITk7GunXrsGjRImzYsAFPPfUUOnbsKMVkZ2cjKCgIW7Zs0auzse9iDTVVe8Mf401dFxmHPwGRzas/aVl2drbe8q1bt+LatWt6JzXr3r07vvnmG724L7/8ElevXm1y/X5+fpgwYQKee+45FBcXo7q6Gj179kRwcDC+/vpr9OvXr9F/np6eRtXx2GOPNVrHkSNHcPr06WZPzvboo48CADZu3Ki3fNOmTc0+Z9euXTF9+nRERUXhq6++MipfIiJLio2NxY8//ggfH59Gx9z6PWfaOh4CkD7MNrwowsqVK01QgXmMGjUKe/fuNTj0+XbDhw/HqVOnDMb5jz76CDKZTNpmdyomJgbOzs748ccfm5wbiah941h+a0y+evUq/v3vf+st/+ijj6T7gVvfQVxdXQ2+u7R0NbHGPt8PHjwYd999N06dOtXk+Fy/t2hrdOzYEU899RQ++ugjfPrpp9BoNAaHoMlkMri4uOg1ijQaTauuhlb/PmhY++0XVDBHXWQc7llENi8qKgoxMTGYO3cuKisrMXjwYOlqaGFhYXqXdkxMTMTrr7+OP//5zxg6dChOnTqFrKwsKJVKvXVGREQgNjYWffv2RceOHXH69Gls2LABkZGRcHd3B3Brwhk1ahRiYmIwYcIEdO7cGb/99htOnz6Nr776Cv/85z+NqqNnz56YPHkyMjMz0aFDB4waNUq6GlpgYCBeeeWVJh8bHR2NRx55BHPmzMG1a9fQr18//Pe//8WGDRv04ioqKvDoo48iISEBvXr1gqenJ44cOYKcnJwm95AiIrIFSUlJ2Lp1Kx555BG88sor6Nu3L+rq6nDu3Dnk5uZi9uzZiIiIaPV42JhevXrh3nvvxbx58yCEgLe3N3bu3Am1Wm2BCtvmzTffxOeff45HHnkEr732GkJDQ3HlyhXk5OQgOTkZvXr1wiuvvIKPPvoIo0ePxptvvolu3brhs88+w/vvv48//vGPuP/++02SS/fu3fHmm29iwYIF+OmnnzBy5Eh07NgRFy9eREFBgbTXLhG1XxzLgXHjxuG9997D+PHjcebMGYSGhuLAgQNIS0vD448/jhEjRgC41WwZO3Ys/v73v+Pee+/Fgw8+iIKCAoOGWWs+3991113IzMzE+PHj8dtvv+EPf/gDfH19cenSJXz99de4dOkSVqxYYVQdL774IrZs2YLp06ejS5cuUt71YmNjsW3bNkydOhV/+MMfcP78ebz11lvw9/fH999/3+y6+/fvj549eyIlJQU3b95Ex44dsX37dhw4cEAvzhx1UeuxWUQ2TyaT4d///jdSU1Oxdu1aLFq0CJ06dUJiYiLS0tL0flV49dVXUVlZiXXr1uEvf/kLBgwYgH/84x948skn9db52GOPYceOHVi2bBmqq6vRuXNnjBs3DgsWLJBiHn30URQUFGDRokVISkpCeXk5fHx80KdPH8THx7eplhUrVuDee+/FmjVr8N5770GpVGLkyJFIT09v9NwV9Tp06IAdO3YgOTkZGRkZqKmpweDBg7Fr1y706tVLinN1dUVERAQ2bNiAM2fOQKfToWvXrpg7dy7mzJnTppyJiCzBw8MD//nPf7B48WKsWrUKJSUlcHNzQ9euXTFixAjpV8jWjoeNkcvl2LlzJ2bNmoUpU6bA2dkZI0aMwJ49e/RONG1LOnfujIKCArzxxhtYvHgxLl++jHvuuQdDhgyRzidyzz33ID8/H/Pnz8f8+fNRWVmJHj16ICMjA8nJySbNZ/78+ejTpw/++te/4uOPP4ZWq4VKpUL//v3x8ssvm/S5iMj+cCy/9Xl87969WLBgAd555x1cunQJnTt3RkpKCt544w292HfffRcAkJGRgatXr+Kxxx7Dp59+qnceutZ+vh87diy6du2KjIwMTJkyBVVVVfD19cVDDz1kcIGd1hgxYgQCAwNx/vx5LFiwwOC8dC+88ALKysrwwQcf4O9//zt69OiBefPm4cKFCy3+cODk5ISdO3di+vTpePnll6FQKPDss88iKyvL4GILpq6LWk8mhBDWToKIiIiIiIiIiGwDz1lEREREREREREQSHoZGRERE1AZ1dXWoq6trNsbZmR+1iIhsWXsay2/evNns/R06dDA43IzaL74TiIiIiNrgxRdfhFwub/YfERHZtvYylp85c6bFOt98801rp0k2hOcsIiIiImqDM2fO4Ndff202hpeTJyKybe1lLK+pqTG4VH1DAQEBCAgIsFBGZOvYLCIiIiIiIiIiIgkPQyMiIiIiIiIiIoljnKmrEXV1dfjll1/g6ekJmUxm7XSIiFokhEBVVRUCAgJ4ckEz4vxARPaEc4PlcH4gInti7vnBYZtFv/zyCwIDA62dBhGR0c6fP48uXbpYOw2HxfmBiOwR5wbz4/xARPbIXPODwzaLPD09AdzacF5eXlbOpnV0Oh1yc3MRHR3tMGfdby3WztpZO1BZWYnAwEBp/CLzaDg/2Pv70J7zZ+7Wwdytpy35c26wnMa+P9j7e641HL1GR68PcPwaHb0+wDbnB4dtFtXvOurl5WVXzSJ3d3d4eXk57B9BU1g7a2ft/8Nd382r4fxg7+9De86fuVsHc7eeO8mfc4P5Nfb9wd7fc63h6DU6en2A49fo6PUBtjk/8MBnIiIiIiIiIiKSsFlEREREREREREQSNouIiIiIiIiIiEjCZhEREREREZldeno6ZDIZkpKSpGVCCKSmpiIgIABubm4YNmwYTp48qfc4rVaLGTNmoFOnTvDw8EBcXBwuXLigF1NeXo7ExEQolUoolUokJibiypUrFqiKiMgxsVlERERERERmdeTIEaxatQp9+/bVW56RkYGlS5ciKysLR44cgUqlQlRUFKqqqqSYpKQkbN++HZs3b8aBAwdw9epVxMbGora2VopJSEhAUVERcnJykJOTg6KiIiQmJlqsPiIiR+OwV0MjchTd531m0ec7s3i0RZ+PiBrX2r99hZNAxgAgJHU3tLVtvxoG//aJyFyuXr2K559/HqtXr8bbb78tLRdCYPny5ViwYAHGjBkDAFi/fj38/PywadMmTJkyBRUVFVizZg02bNiAESNGAACys7MRGBiIPXv2ICYmBqdPn0ZOTg4OHTqEiIgIAMDq1asRGRmJ4uJi9OzZ0/JFOwh+DiVqv7hnERERERERmc20adMwevRoqdlTr6SkBBqNBtHR0dIyhUKBoUOHIj8/HwBQWFgInU6nFxMQEICQkBAp5uDBg1AqlVKjCAAGDhwIpVIpxRARkXG4ZxEREREREZnF5s2bUVhYiKNHjxrcp9FoAAB+fn56y/38/HD27FkpxsXFBR07djSIqX+8RqOBr6+vwfp9fX2lmMZotVpotVrpdmVlJQBAp9NBp9NJ/3/7fx1RczUqnIRVcjHHOtvra+gIHL0+oG01mnt7sFlEREREREQmd/78ecyaNQu5ublwdXVtMk4m0z+EVghhsKyhhjGNxbe0nvT0dCxcuNBgeW5uLtzd3fWWqdXqZvNxBI3VmDHAsjns2rXLbOtur6+hI3H0+gDjaqyurjZjJmwWERERERGRGRQWFqKsrAzh4eHSstraWuzfvx9ZWVkoLi4GcGvPIH9/fymmrKxM2ttIpVKhpqYG5eXlensXlZWVYdCgQVLMxYsXDZ7/0qVLBnst3W7+/PlITk6WbldWViIwMBDR0dHw8vICcOuXe7VajaioKMjl8rZsBpvXXI0hqbstmsuJ1BiTr7O9v4aOwNHrA9pWY/3ekObCZhEREREREZnc8OHDcfz4cb1lL7zwAnr16oW5c+eiR48eUKlUUKvVCAsLAwDU1NQgLy8PS5YsAQCEh4dDLpdDrVYjPj4eAFBaWooTJ04gIyMDABAZGYmKigoUFBRgwIBbu8IcPnwYFRUVUkOpMQqFAgqFwmC5XC43+LLW2DJH01iNd3LhhLbmYM51t8fX0JE4en2AcTWae1uwWURERERERCbn6emJkJAQvWUeHh7w8fGRliclJSEtLQ3BwcEIDg5GWloa3N3dkZCQAABQKpWYOHEiZs+eDR8fH3h7eyMlJQWhoaHSCbN79+6NkSNHYtKkSVi5ciUAYPLkyYiNjeWV0IiI2ojNIiIiIiIisoo5c+bg+vXrmDp1KsrLyxEREYHc3Fx4enpKMcuWLYOzszPi4+Nx/fp1DB8+HOvWrYOTk5MUs3HjRsycOVO6alpcXByysrIsXg8RkaNgs4iIiIiIiCxi3759erdlMhlSU1ORmpra5GNcXV2RmZmJzMzMJmO8vb2RnZ1toiyJiKiDtRMgIiIiIiIiIiLbwWYRERERERERERFJ2CwiIiIiIiIiIiIJm0VERERERERERCThCa6JiIiIiIjI6rrP+8zk61Q4CWQMAEJSd0NbK5OWn1k82uTPReRIuGcRERERERERERFJ2CwiIiIiIiIiIiIJm0VERERERERERCRhs4iIiIiIiIiIiCRsFhERERERERERkYTNIiIiIiIiIiIikjgbE3zz5k2kpqZi48aN0Gg08Pf3x4QJE/CnP/0JHTrc6jsJIbBw4UKsWrUK5eXliIiIwHvvvYcHHnhAWo9Wq0VKSgo+/vhjXL9+HcOHD8f777+PLl26SDHl5eWYOXMmduzYAQCIi4tDZmYm7r77bhOUTUREREREZH9MfXn5pi4tT0Ttm1F7Fi1ZsgQffPABsrKycPr0aWRkZOCdd95BZmamFJORkYGlS5ciKysLR44cgUqlQlRUFKqqqqSYpKQkbN++HZs3b8aBAwdw9epVxMbGora2VopJSEhAUVERcnJykJOTg6KiIiQmJpqgZCIiIiIiIiIiaopRexYdPHgQTz75JEaPHg0A6N69Oz7++GMcPXoUwK29ipYvX44FCxZgzJgxAID169fDz88PmzZtwpQpU1BRUYE1a9Zgw4YNGDFiBAAgOzsbgYGB2LNnD2JiYnD69Gnk5OTg0KFDiIiIAACsXr0akZGRKC4uRs+ePU22AYiIiIiIiIiI6H+MahYNGTIEH3zwAb777jvcf//9+Prrr3HgwAEsX74cAFBSUgKNRoPo6GjpMQqFAkOHDkV+fj6mTJmCwsJC6HQ6vZiAgACEhIQgPz8fMTExOHjwIJRKpdQoAoCBAwdCqVQiPz+/0WaRVquFVquVbldWVgIAdDoddDqdMWVaTX2e9pKvKbH2pmtXOAlLpmPR14Cvu37t7XE7EBERERGR7TGqWTR37lxUVFSgV69ecHJyQm1tLRYtWoTnnnsOAKDRaAAAfn5+eo/z8/PD2bNnpRgXFxd07NjRIKb+8RqNBr6+vgbP7+vrK8U0lJ6ejoULFxosz83Nhbu7uzFlWp1arbZ2ClbD2g1lDLBsHrt27bLsE4Kve73q6morZkJERERERHSLUc2iLVu2IDs7G5s2bcIDDzyAoqIiJCUlISAgAOPHj5fiZDL9E6MJIQyWNdQwprH45tYzf/58JCcnS7crKysRGBiI6OhoeHl5tao+a9PpdFCr1YiKioJcLrd2OhbF2puuPSR1t0XzOZEaY7Hn4uuuX3v9HpFERERERETWZFSz6NVXX8W8efPw7LPPAgBCQ0Nx9uxZpKenY/z48VCpVAAgXSmtXllZmbS3kUqlQk1NDcrLy/X2LiorK8OgQYOkmIsXLxo8/6VLlwz2WqqnUCigUCgMlsvlcrv7EmqPOZsKazes3dJXpbDG9ufrLpf+3579/PPPmDt3Lj7//HNcv34d999/P9asWYPw8HAAvFomEREREZG9MOpqaNXV1ejQQf8hTk5OqKurAwAEBQVBpVLpHVZRU1ODvLw8qREUHh4OuVyuF1NaWooTJ05IMZGRkaioqEBBQYEUc/jwYVRUVEgxRERkO8rLyzF48GDI5XJ8/vnnOHXqFN599129Bg6vlklEREREZB+M2rPoiSeewKJFi9C1a1c88MADOHbsGJYuXYoXX3wRwK1Dx5KSkpCWlobg4GAEBwcjLS0N7u7uSEhIAAAolUpMnDgRs2fPho+PD7y9vZGSkoLQ0FDp6mi9e/fGyJEjMWnSJKxcuRIAMHnyZMTGxvJKaERENmjJkiUIDAzE2rVrpWXdu3eX/p9XyyQiIiIish9GNYsyMzPx+uuvY+rUqSgrK0NAQACmTJmCP//5z1LMnDlzcP36dUydOlU6zCA3Nxeenp5SzLJly+Ds7Iz4+HjpMIN169bByclJitm4cSNmzpwpXTUtLi4OWVlZd1ovERGZwY4dOxATE4Onn34aeXl56Ny5M6ZOnYpJkyYBsO2rZdrqVflaeyVERQeh99+2skb9trrtW4O5W4c95w60LX97rZWIiOybUc0iT09PLF++HMuXL28yRiaTITU1FampqU3GuLq6IjMzE5mZmU3GeHt7Izs725j0iMgEus/7zGLP9f1b0S0HkV346aefsGLFCiQnJ+O1115DQUEBZs6cCYVCgXHjxtnF1TJt7ap8xl4J8a1+dXf0fNa4EmI9W9v2xmDu1mHPuQPG5c8rZRIRkTUY1SwiIiJqTF1dHfr164e0tDQAQFhYGE6ePIkVK1Zg3LhxUpwtXi3TVq/K19orISo6CLzVrw6vH+0AbZ1lT4jfVvVXXbTVbd8azN067Dl3oG3580qZRERkDWwWERHRHfP390efPn30lvXu3Rtbt24FALu4WqatXZXP2CshautkFr96Yls13M62tu2Nwdytw55zB4zL357rJCIi+2XU1dCIiIgaM3jwYBQXF+st++6779CtWzcAvFomEREREZE94Z5FRER0x1555RUMGjQIaWlpiI+PR0FBAVatWoVVq1YB4NUyiYiIiIjsCZtFRER0x/r374/t27dj/vz5ePPNNxEUFITly5fj+eefl2J4tUwiIiIiIvvAZhEREZlEbGwsYmNjm7yfV8skIiIiIrIPPGcRERERERERERFJ2CwiIiIiIiKzWLFiBfr27QsvLy94eXkhMjISn3/+uXS/EAKpqakICAiAm5sbhg0bhpMnT+qtQ6vVYsaMGejUqRM8PDwQFxeHCxcu6MWUl5cjMTERSqUSSqUSiYmJuHLliiVKJCJySGwWERERERGRWXTp0gWLFy/G0aNHcfToUTz22GN48sknpYZQRkYGli5diqysLBw5cgQqlQpRUVGoqqqS1pGUlITt27dj8+bNOHDgAK5evYrY2FjU1tZKMQkJCSgqKkJOTg5ycnJQVFSExMREi9dLROQoeM4iIiIiIiIyiyeeeELv9qJFi7BixQocOnQIffr0wfLly7FgwQKMGTMGALB+/Xr4+flh06ZNmDJlCioqKrBmzRps2LBBujJmdnY2AgMDsWfPHsTExOD06dPIycnBoUOHEBERAQBYvXo1IiMjUVxczKtlEhG1AfcsIiIiIiIis6utrcXmzZtx7do1REZGoqSkBBqNRrq6JQAoFAoMHToU+fn5AIDCwkLodDq9mICAAISEhEgxBw8ehFKplBpFADBw4EAolUophoiIjMM9i4iIiIiIyGyOHz+OyMhI3LhxA3fddRe2b9+OPn36SI0cPz8/vXg/Pz+cPXsWAKDRaODi4oKOHTsaxGg0GinG19fX4Hl9fX2lmMZotVpotVrpdmVlJQBAp9NBp9NJ/3/7f22BwkmYdn0dhN5/HU1T9dnSa3qnbPF9akqOXh/QthrNvT3YLCIiIiIiIrPp2bMnioqKcOXKFWzduhXjx49HXl6edL9MJtOLF0IYLGuoYUxj8S2tJz09HQsXLjRYnpubC3d3d71larW62XwsKWOAedb7Vr8686zYRjSsb9euXVbKxHxs6X1qDo5eH2BcjdXV1WbMhM0iIiIiIiIyIxcXF9x3330AgH79+uHIkSP461//irlz5wK4tWeQv7+/FF9WVibtbaRSqVBTU4Py8nK9vYvKysowaNAgKebixYsGz3vp0iWDvZZuN3/+fCQnJ0u3KysrERgYiOjoaHh5eQG49cu9Wq1GVFQU5HJ5WzeBSYWk7jbp+hQdBN7qV4fXj3aAtq75Jp09aqq+E6kxVszKtGzxfWpKjl4f0LYa6/eGNBc2i4iIiIiIyGKEENBqtQgKCoJKpYJarUZYWBgAoKamBnl5eViyZAkAIDw8HHK5HGq1GvHx8QCA0tJSnDhxAhkZGQCAyMhIVFRUoKCgAAMG3Nrt5vDhw6ioqJAaSo1RKBRQKBQGy+VyucGXtcaWWYu21jwNHW2dzGzrtgUN67OV19OUbOl9ag6OXh9gXI3m3hZsFhERERERkVm89tprGDVqFAIDA1FVVYXNmzdj3759yMnJgUwmQ1JSEtLS0hAcHIzg4GCkpaXB3d0dCQkJAAClUomJEydi9uzZ8PHxgbe3N1JSUhAaGipdHa13794YOXIkJk2ahJUrVwIAJk+ejNjYWF4JjYiojdgsIiIiIiIis7h48SISExNRWloKpVKJvn37IicnB1FRUQCAOXPm4Pr165g6dSrKy8sRERGB3NxceHp6SutYtmwZnJ2dER8fj+vXr2P48OFYt24dnJycpJiNGzdi5syZ0lXT4uLikJWVZdliiYgcCJtFRERERERkFmvWrGn2fplMhtTUVKSmpjYZ4+rqiszMTGRmZjYZ4+3tjezs7LamSUREDXSwdgJERERERERERGQ72CwiIiIiIiIiIiIJm0VERERERERERCThOYuIiIiIiIioXek+7zOLPt+ZxaMt+nxEd4p7FhERERERERERkYTNIiIiIiIiIiIikhjdLPr5558xduxY+Pj4wN3dHQ899BAKCwul+4UQSE1NRUBAANzc3DBs2DCcPHlSbx1arRYzZsxAp06d4OHhgbi4OFy4cEEvpry8HImJiVAqlVAqlUhMTMSVK1faViUREREREREREbWKUc2i8vJyDB48GHK5HJ9//jlOnTqFd999F3fffbcUk5GRgaVLlyIrKwtHjhyBSqVCVFQUqqqqpJikpCRs374dmzdvxoEDB3D16lXExsaitrZWiklISEBRURFycnKQk5ODoqIiJCYm3nnFRERERERERETUJKNOcL1kyRIEBgZi7dq10rLu3btL/y+EwPLly7FgwQKMGTMGALB+/Xr4+flh06ZNmDJlCioqKrBmzRps2LABI0aMAABkZ2cjMDAQe/bsQUxMDE6fPo2cnBwcOnQIERERAIDVq1cjMjISxcXF6Nmz553WTUREREREREREjTCqWbRjxw7ExMTg6aefRl5eHjp37oypU6di0qRJAICSkhJoNBpER0dLj1EoFBg6dCjy8/MxZcoUFBYWQqfT6cUEBAQgJCQE+fn5iImJwcGDB6FUKqVGEQAMHDgQSqUS+fn5jTaLtFottFqtdLuyshIAoNPpoNPpjCnTaurztJd8TYm1N127wklYMh2L4uuuX3t73A5ERERERGR7jGoW/fTTT1ixYgWSk5Px2muvoaCgADNnzoRCocC4ceOg0WgAAH5+fnqP8/Pzw9mzZwEAGo0GLi4u6Nixo0FM/eM1Gg18fX0Nnt/X11eKaSg9PR0LFy40WJ6bmwt3d3djyrQ6tVpt7RSshrUbyhhg4UQsqL5mvu63VFdXWzETIiIiIiKiW4xqFtXV1aFfv35IS0sDAISFheHkyZNYsWIFxo0bJ8XJZDK9xwkhDJY11DCmsfjm1jN//nwkJydLtysrKxEYGIjo6Gh4eXm1XJwN0Ol0UKvViIqKglwut3Y6FsXam649JHW3FbKyjGMLHuPrflvt9XtEEhERERERWZNRzSJ/f3/06dNHb1nv3r2xdetWAIBKpQJwa88gf39/KaasrEza20ilUqGmpgbl5eV6exeVlZVh0KBBUszFixcNnv/SpUsGey3VUygUUCgUBsvlcrndfQm1x5xNhbUb1q6tbb7Ras/q6+Xr/r/tQEREREREZG1GXQ1t8ODBKC4u1lv23XffoVu3bgCAoKAgqFQqvcMqampqkJeXJzWCwsPDIZfL9WJKS0tx4sQJKSYyMhIVFRUoKCiQYg4fPoyKigophoiIiIiIiIiITM+oPYteeeUVDBo0CGlpaYiPj0dBQQFWrVqFVatWAbh16FhSUhLS0tIQHByM4OBgpKWlwd3dHQkJCQAApVKJiRMnYvbs2fDx8YG3tzdSUlIQGhoqXR2td+/eGDlyJCZNmoSVK1cCACZPnozY2FheCY2IiIiIiIiIyIyMahb1798f27dvx/z58/Hmm28iKCgIy5cvx/PPPy/FzJkzB9evX8fUqVNRXl6OiIgI5ObmwtPTU4pZtmwZnJ2dER8fj+vXr2P48OFYt24dnJycpJiNGzdi5syZ0lXT4uLikJWVdaf1EhERERERERFRM4xqFgFAbGwsYmNjm7xfJpMhNTUVqampTca4uroiMzMTmZmZTcZ4e3sjOzvb2PSIiIiIiIiIiOgOGHXOIiIiIiIiIiIicmxsFhERERERERERkYTNIiIiIiIiIiIikrBZREREREREREREEjaLiIjIpNLT0yGTyZCUlCQtE0IgNTUVAQEBcHNzw7Bhw3Dy5Em9x2m1WsyYMQOdOnWCh4cH4uLicOHCBb2Y8vJyJCYmQqlUQqlUIjExEVeuXLFAVURERERE7QebRUREZDJHjhzBqlWr0LdvX73lGRkZWLp0KbKysnDkyBGoVCpERUWhqqpKiklKSsL27duxefNmHDhwAFevXkVsbCxqa2ulmISEBBQVFSEnJwc5OTkoKipCYmKixeojIiIiImoP2CwiIiKTuHr1Kp5//nmsXr0aHTt2lJYLIbB8+XIsWLAAY8aMQUhICNavX4/q6mps2rQJAFBRUYE1a9bg3XffxYgRIxAWFobs7GwcP34ce/bsAQCcPn0aOTk5+PDDDxEZGYnIyEisXr0an376KYqLi61SMxERERGRI2KziIiITGLatGkYPXo0RowYobe8pKQEGo0G0dHR0jKFQoGhQ4ciPz8fAFBYWAidTqcXExAQgJCQECnm4MGDUCqViIiIkGIGDhwIpVIpxRARERER0Z1ztnYCRERk/zZv3ozCwkIcPXrU4D6NRgMA8PPz01vu5+eHs2fPSjEuLi56eyTVx9Q/XqPRwNfX12D9vr6+UkxjtFottFqtdLuyshIAoNPppH/1t22Jwkm0Lq6D0PuvPWi4zW1t27cGc7cOe84daFv+9lorERHZNzaLiIjojpw/fx6zZs1Cbm4uXF1dm4yTyWR6t4UQBssaahjTWHxL60lPT8fChQsNlufm5sLd3V26rVarm83F0jIGGBf/Vr868yRiBrt27dK7bWvb3hjM3TrsOXfAuPyrq6vNmAkREVHj2CwiIqI7UlhYiLKyMoSHh0vLamtrsX//fmRlZUnnE9JoNPD395diysrKpL2NVCoVampqUF5errd3UVlZGQYNGiTFXLx40eD5L126ZLDX0u3mz5+P5ORk6XZlZSUCAwMRHR0NLy8v6HQ6qNVqREVFQS6Xt3ErmF5I6u5WxSk6CLzVrw6vH+0AbV3zzTdbcSI1BgBsdtu3BnO3DnvOHWhb/vV7QxIREVkSm0VERHRHhg8fjuPHj+ste+GFF9CrVy/MnTsXPXr0gEqlglqtRlhYGACgpqYGeXl5WLJkCQAgPDwccrkcarUa8fHxAIDS0lKcOHECGRkZAIDIyEhUVFSgoKAAAwbc2u3m8OHDqKiokBpKjVEoFFAoFAbL5XK53pe1hretTVtrXONHWycz+jHW0nA729q2NwZztw57zh0wLn97rpOIiOwXm0VERHRHPD09ERISorfMw8MDPj4+0vKkpCSkpaUhODgYwcHBSEtLg7u7OxISEgAASqUSEydOxOzZs+Hj4wNvb2+kpKQgNDRUOmF27969MXLkSEyaNAkrV64EAEyePBmxsbHo2bOnBSsmIiIiInJsvBoaERGZ3Zw5c5CUlISpU6eiX79++Pnnn5GbmwtPT08pZtmyZXjqqacQHx+PwYMHw93dHTt37oSTk5MUs3HjRoSGhiI6OhrR0dHo27cvNmzYYI2SiIioFdLT09G/f394enrC19cXTz31lHR4cj0hBFJTUxEQEAA3NzcMGzYMJ0+e1IvRarWYMWMGOnXqBA8PD8TFxeHChQt6MeXl5UhMTIRSqYRSqURiYiKuXLli7hKJiBwSm0VERGRy+/btw/Lly6XbMpkMqampKC0txY0bN5CXl2ewN5KrqysyMzNx+fJlVFdXY+fOnQgMDNSL8fb2RnZ2NiorK1FZWYns7GzcfffdFqiIiIjaIi8vD9OmTcOhQ4egVqtx8+ZNREdH49q1a1JMRkYGli5diqysLBw5cgQqlQpRUVGoqqqSYpKSkrB9+3Zs3rwZBw4cwNWrVxEbG4va2lopJiEhAUVFRcjJyUFOTg6KioqQmJho0XqJiBwFD0MjIiIiIiKzyMnJ0bu9du1a+Pr6orCwEI888giEEFi+fDkWLFiAMWPGAADWr18PPz8/bNq0CVOmTEFFRQXWrFmDDRs2SIcmZ2dnIzAwEHv27EFMTAxOnz6NnJwcHDp0CBEREQCA1atXIzIyEsXFxTxcmYjISGwWERERERGRRVRUVAC4tacoAJSUlECj0SA6OlqKUSgUGDp0KPLz8zFlyhQUFhZCp9PpxQQEBCAkJAT5+fmIiYnBwYMHoVQqpUYRAAwcOBBKpRL5+fmNNou0Wi20Wq10u/7KczqdDjqdTvr/2/9rCxROwrTr6yD0/utobKU+c76HbPF9akqOXh/QthrNvT3YLCIiIiIiIrMTQiA5ORlDhgyRDkXWaDQAAD8/P71YPz8/nD17VopxcXFBx44dDWLqH6/RaODr62vwnL6+vlJMQ+np6Vi4cKHB8tzcXLi7u+stU6vVrSnRIjIGmGe9b/WrM8+KbYS169u1a5fZn8OW3qfm4Oj1AcbVWF1dbcZM2CwiIiIiIiILmD59Or755hscOHDA4D6ZTKZ3WwhhsKyhhjGNxTe3nvnz5yM5OVm6XVlZicDAQERHR8PLywvArV/u1Wo1oqKiIJfLm83HUkJSd5t0fYoOAm/1q8PrRztAW9f8NrdHtlLfidQYs63bFt+npuTo9QFtq7F+b0hzYbOIiIiIiIjMasaMGdixYwf279+PLl26SMtVKhWAW3sG+fv7S8vLysqkvY1UKhVqampQXl6ut3dRWVkZBg0aJMVcvHjR4HkvXbpksNdSPYVCAYVCYbBcLpcbfFlrbJm1aGvN0/DQ1snMtm5bYO36LPH+saX3qTk4en2AcTWae1vwamhERERERGQWQghMnz4d27Ztw5dffomgoCC9+4OCgqBSqfQOvaipqUFeXp7UCAoPD4dcLteLKS0txYkTJ6SYyMhIVFRUoKCgQIo5fPgwKioqpBgiImo97llERERERERmMW3aNGzatAmffPIJPD09pfMHKZVKuLm5QSaTISkpCWlpaQgODkZwcDDS0tLg7u6OhIQEKXbixImYPXs2fHx84O3tjZSUFISGhkpXR+vduzdGjhyJSZMmYeXKlQCAyZMnIzY2lldCIyJqAzaLiIiIiIjILFasWAEAGDZsmN7ytWvXYsKECQCAOXPm4Pr165g6dSrKy8sRERGB3NxceHp6SvHLli2Ds7Mz4uPjcf36dQwfPhzr1q2Dk5OTFLNx40bMnDlTumpaXFwcsrKyzFsgEZGDuqPD0NLT06VfA+oJIZCamoqAgAC4ublh2LBhOHnypN7jtFotZsyYgU6dOsHDwwNxcXG4cOGCXkx5eTkSExOhVCqhVCqRmJiIK1eu3Em6RERERERkQUKIRv/VN4qAWyemTk1NRWlpKW7cuIG8vDzpamn1XF1dkZmZicuXL6O6uho7d+5EYGCgXoy3tzeys7NRWVmJyspKZGdn4+6777ZAlUREjqfNzaIjR45g1apV6Nu3r97yjIwMLF26FFlZWThy5AhUKhWioqJQVVUlxSQlJWH79u3YvHkzDhw4gKtXryI2Nha1tbVSTEJCAoqKipCTk4OcnBwUFRUhMTGxrekSEREREREREVErtKlZdPXqVTz//PNYvXq13hUJhBBYvnw5FixYgDFjxiAkJATr169HdXU1Nm3aBACoqKjAmjVr8O6772LEiBEICwtDdnY2jh8/jj179gAATp8+jZycHHz44YeIjIxEZGQkVq9ejU8//RTFxcUmKJuIiIiIiIiIiBrTpmbRtGnTMHr0aOmEcvVKSkqg0Wik44SBW5ekHDp0KPLz8wEAhYWF0Ol0ejEBAQEICQmRYg4ePAilUomIiAgpZuDAgVAqlVIMERERERERERGZntEnuN68eTMKCwtx9OhRg/vqr27g5+ent9zPzw9nz56VYlxcXPT2SKqPqX+8RqOBr6+vwfp9fX2lmIa0Wi20Wq10u7KyEgCg0+mg0+laW55V1edpL/maEmtvunaFk7BkOhbF112/9va4HYiIiIjag+7zPjPbuhVOAhkDgJDU3dDWynBm8WizPRe1H0Y1i86fP49Zs2YhNzcXrq6uTcbJZDK920IIg2UNNYxpLL659aSnp2PhwoUGy3Nzc+Hu7t7sc9satVpt7RSshrUbyhhg4UQsqL5mvu63VFdXWzETIiIiIiKiW4xqFhUWFqKsrAzh4eHSstraWuzfvx9ZWVnS+YQ0Gg38/f2lmLKyMmlvI5VKhZqaGpSXl+vtXVRWVoZBgwZJMRcvXjR4/kuXLhnstVRv/vz5SE5Olm5XVlYiMDAQ0dHR8PLyMqZMq9HpdFCr1YiKioJcLrd2OhbF2puuPSR1txWysoxjCx7j635b7fV7RBIREREREVmTUc2i4cOH4/jx43rLXnjhBfTq1Qtz585Fjx49oFKpoFarERYWBgCoqalBXl4elixZAgAIDw+HXC6HWq1GfHw8AKC0tBQnTpxARkYGACAyMhIVFRUoKCjAgAG3dqs4fPgwKioqpIZSQwqFAgqFwmC5XC63uy+h9pizqbB2w9q1tc3vlWfP6uvl6/6/7UBERERERGRtRjWLPD09ERISorfMw8MDPj4+0vKkpCSkpaUhODgYwcHBSEtLg7u7OxISEgAASqUSEydOxOzZs+Hj4wNvb2+kpKQgNDRUOmF27969MXLkSEyaNAkrV64EAEyePBmxsbHo2bPnHRdNRERERERERESNM/oE1y2ZM2cOrl+/jqlTp6K8vBwRERHIzc2Fp6enFLNs2TI4OzsjPj4e169fx/Dhw7Fu3To4OTlJMRs3bsTMmTOlq6bFxcUhKyvL1OkSERGRhdWf5LPhCTnNgSf5JCIiIjLeHTeL9u3bp3dbJpMhNTUVqampTT7G1dUVmZmZyMzMbDLG29sb2dnZd5oeEREREREREREZoYO1EyAiIiIiIiIiItvBZhEREREREREREUnYLCIiIiIiIiIiIgmbRUREREREREREJGGziIiIiIiIiIiIJGwWERERERERERGRhM0iIiIiIiIiIiKSsFlEREREREREREQSNouIiIiIiIiIiEjCZhEREREREREREUnYLCIiIiIiIiIiIgmbRUREREREREREJGGziIiIiIiIiIiIJGwWERERERERERGRxNnaCRAREdmL7vM+s3YKRERERM2y5OeVM4tHW+y5LM2S21HhJJAxwGJP1yrcs4iIiO5Yeno6+vfvD09PT/j6+uKpp55CcXGxXowQAqmpqQgICICbmxuGDRuGkydP6sVotVrMmDEDnTp1goeHB+Li4nDhwgW9mPLyciQmJkKpVEKpVCIxMRFXrlwxd4lERERERO0Gm0VERHTH8vLyMG3aNBw6dAhqtRo3b95EdHQ0rl27JsVkZGRg6dKlyMrKwpEjR6BSqRAVFYWqqiopJikpCdu3b8fmzZtx4MABXL16FbGxsaitrZViEhISUFRUhJycHOTk5KCoqAiJiYkWrZeIiIiIyJHxMDQiIrpjOTk5erfXrl0LX19fFBYW4pFHHoEQAsuXL8eCBQswZswYAMD69evh5+eHTZs2YcqUKaioqMCaNWuwYcMGjBgxAgCQnZ2NwMBA7NmzBzExMTh9+jRycnJw6NAhREREAABWr16NyMhIFBcXo2fPnpYtnIiIiIjIAbFZREREJldRUQEA8Pb2BgCUlJRAo9EgOjpailEoFBg6dCjy8/MxZcoUFBYWQqfT6cUEBAQgJCQE+fn5iImJwcGDB6FUKqVGEQAMHDgQSqUS+fn5jTaLtFottFqtdLuyshIAoNPppH/1t1uicBLGbAaLUHQQev+1J5bIvTWv652s11zrNyfmbj1tyd9eayUiIvvGZhEREZmUEALJyckYMmQIQkJCAAAajQYA4Ofnpxfr5+eHs2fPSjEuLi7o2LGjQUz94zUaDXx9fQ2e09fXV4ppKD09HQsXLjRYnpubC3d3d+m2Wq1usTZbO/Hg7d7qV2ftFNrMnLnv2rXLbOsGWve+sVXM3XqMyb+6utqMmZjf/v378c4776CwsBClpaXYvn07nnrqKel+IQQWLlyIVatWoby8HBEREXjvvffwwAMPSDFarRYpKSn4+OOPcf36dQwfPhzvv/8+unTpIsWUl5dj5syZ2LFjBwAgLi4OmZmZuPvuuy1VKhGRQ2GziIiITGr69On45ptvcODAAYP7ZDKZ3m0hhMGyhhrGNBbf3Hrmz5+P5ORk6XZlZSUCAwMRHR0NLy8v6HQ6qNVqREVFQS6XN5tLSOruZu+3BkUHgbf61eH1ox2grWt+W9oaS+R+IjXGLOs15n1ja5i79bQl//q9Ie3VtWvX8OCDD+KFF17A//3f/xncX38+u3Xr1uH+++/H22+/jaioKBQXF8PT0xPArfPZ7dy5E5s3b4aPjw9mz56N2NhYFBYWwsnJCcCt89lduHBBOix68uTJSExMxM6dOy1XLBGRA2GziIiITGbGjBnYsWMH9u/fr/eLr0qlAnBrzyB/f39peVlZmbS3kUqlQk1NDcrLy/X2LiorK8OgQYOkmIsXLxo876VLlwz2WqqnUCigUCgMlsvlcr0vaw1vN0Zba7vNGG2dzKbza445czd3Q6E17xtbxdytx5j87blOABg1ahRGjRrV6H08nx0Rke1is4iIiO6YEAIzZszA9u3bsW/fPgQFBendHxQUBJVKBbVajbCwMABATU0N8vLysGTJEgBAeHg45HI51Go14uPjAQClpaU4ceIEMjIyAACRkZGoqKhAQUEBBgy4dUzY4cOHUVFRITWUiIjIPljzfHZAy+e0q///2/9rC0x9/jx7Pvddazh6fYB1a7TE34a1/g4tea7K+tfOls5px2YRERHdsWnTpmHTpk345JNP4OnpKZ0/SKlUws3NDTKZDElJSUhLS0NwcDCCg4ORlpYGd3d3JCQkSLETJ07E7Nmz4ePjA29vb6SkpCA0NFT6Nbl3794YOXIkJk2ahJUrVwK4dahBbGwsfzkmIrIz1jyfHdD6c9oBtnWeLHOdP8+ez33XGo5eH2CdGs19bsDbWfrv0BrnqrSlc9oZ1SxKT0/Htm3b8O2338LNzQ2DBg3CkiVL9D6g8yR1RETtz4oVKwAAw4YN01u+du1aTJgwAQAwZ84cXL9+HVOnTpXmh9zcXOmcFACwbNkyODs7Iz4+Xpof1q1bJ52TAgA2btyImTNnSr8yx8XFISsry7wFEhGR2VjjfHZAy+e0A2zzPFmmPn+ePZ/7rjUcvT7AujWa69yAt7PW36Elz1VZ/xra0jntjGoW5eXlYdq0aejfvz9u3ryJBQsWIDo6GqdOnYKHhwcAnqSOiKg9EqLl3XRlMhlSU1ORmpraZIyrqysyMzORmZnZZIy3tzeys7PbkiYREdkQa57PDmj9Oe2aWmYt5jrHmz2f+641HL0+wDo1WvLvwtJ/h9Z4v9jSOe06GBOck5ODCRMm4IEHHsCDDz6ItWvX4ty5cygsLARgeJK6kJAQrF+/HtXV1di0aRMASCepe/fddzFixAiEhYUhOzsbx48fx549ewBAOkndhx9+iMjISERGRmL16tX49NNPUVxcbOJNQERERERElnb7+ezq1Z/Prr4RdPv57OrVn8+uPub289nV4/nsiIjujFHNooYqKioA3PqVF2j5JHUAWjxJHYAWT1JHRERERES27+rVqygqKkJRURGAW98XioqKcO7cOb3z2W3fvh0nTpzAhAkTmjyf3RdffIFjx45h7NixTZ7P7tChQzh06BAmTZrE89kREd2BNp/gWgiB5ORkDBkyBCEhIQCse5K61lzNwNbZ4tUWLIW1N127Jc/Cb2l83fVrb4/bgYiIHNvRo0fx6KOPSrfrzxE0fvx4rFu3zmHOZ9d93mcWey4iIktoc7No+vTp+Oabb3DgwAGD+6xxkjpjrmZg62zpaguWxtoNWeMs/JZSXzNf91vMfUUDIiIiSxs2bFiz57Xj+eyIiGxTm5pFM2bMwI4dO7B//369K5hZ8yR1rbmaga2zxastWAprb7p2S56F39KOLXiMr/tttZv7igZEREREREStYVSzSAiBGTNmYPv27di3bx+CgoL07r/9JHVhYWEA/neSuiVLlgDQP0ldfHw8gP+dpC4jIwOA/knqBgy4tVtFSyepM+ZqBrbOHnM2FdZuWLsjX7Whvl6+7v/bDkRERERERNZmVLNo2rRp2LRpEz755BN4enpK5w9SKpVwc3PTO0ldcHAwgoODkZaW1uRJ6nx8fODt7Y2UlJQmT1K3cuVKAMDkyZN5kjoiIiIiIiIiIjMzqlm0YsUKALeOPb7d2rVrMWHCBABwmJPUEREREREREVHTLHFyd4WTQMaAW6fnKF4Ua/bno1uMPgytJTxJHRERERERERGR/epg7QSIiIiIiIiIiMh2sFlEREREREREREQSow5DI6JbTHls7u3H4Drylc+IiIiIiIjIPnDPIiIiIiIiIiIikrBZREREREREREREEh6GRkRERA7LXJf0beoQ4jOLR5vl+YiIiIgsiXsWERERERERERGRhM0iIiIiIiIiIiKS8DA0IrKakNTdFr0SHA8PISIiIiIiahmbRURERERERERk88x1LkIyxMPQiIiIiIiIiIhIwmYRERERERERERFJ2CwiIiIiIiIiIiIJm0VERERERERERCRhs4iIiIiIiIiIiCRsFhERERERERERkYTNIiIiIiIiIiIikrBZREREREREREREEjaLiIiIiIiIiIhI4mztBIiIiIgcRfd5n1nsuc4sHm2x5yIiIqL2hXsWERERERERERGRhM0iIiIiIiIiIiKS8DA0chiW3PWfiIiIiIiIyFFxzyIiIiIiIiIiIpLY/J5F77//Pt555x2UlpbigQcewPLly/Hwww9bOy0iIrIizg1Ebd+jVuEkkDEACEndDW2trNWP4wm1yR5wfiAiMg2b3rNoy5YtSEpKwoIFC3Ds2DE8/PDDGDVqFM6dO2ft1IiIyEo4NxARUWM4PxARmY5N71m0dOlSTJw4ES+99BIAYPny5di9ezdWrFiB9PR0K2dHLTHmF8+2/spJRO0P5wYi67DkuQG5FxO1BecHIiLTsdlmUU1NDQoLCzFv3jy95dHR0cjPzzeI12q10Gq10u2KigoAwG+//QadTmfeZE1Ep9Ohuroaly9fhlwuN8tzRKR/YZb1NsaYN5dznUB1dR2cdR1QW9e+mkWs3XK135fyD7M/R73D84c3e39jf+9VVVUAACGE2fOzV8bODUDL84MxY6/zzWt3WIHp2fMYwtytwx5yb2q8VnQQ+FNYHR5asA1aG829OfX5G/NZj3ND65hjfgBa//ncFueH1rKHMeFOOHp9gOPX6Oj1Af+r0ZbmB5ttFv3666+ora2Fn5+f3nI/Pz9oNBqD+PT0dCxcuNBgeVBQkNlyJNNKsHYCVsTaHU+nd9v+2KqqKiiVStMl40CMnRuA9jE/2PPfEXO3DuZuPW3Nn3ND8zg/3Bl7/7tqiaPXBzh+jY5eH2B784PNNovqyWT6nUMhhMEyAJg/fz6Sk5Ol23V1dfjtt9/g4+PTaLwtqqysRGBgIM6fPw8vLy9rp2NRrJ21s/Zb41tVVRUCAgKsnJ3ta+3cALQ8P9j7+9Ce82fu1sHcract+XNuMI4p5wfA/t9zreHoNTp6fYDj1+jo9QG2OT/YbLOoU6dOcHJyMvgloKyszOAXAwBQKBRQKBR6y+6++25zpmg2Xl5eDvtH0BLWztrbm4a181fj5hk7NwCtnx/s/X1oz/kzd+tg7tZjbP6cG1pmzvkBsP/3XGs4eo2OXh/g+DU6en2Abc0PNns1NBcXF4SHh0OtVustV6vVGDRokJWyIiIia+LcQEREjeH8QERkWja7ZxEAJCcnIzExEf369UNkZCRWrVqFc+fO4eWXX7Z2akREZCWcG4iIqDGcH4iITMemm0XPPPMMLl++jDfffBOlpaUICQnBrl270K1bN2unZhYKhQJvvPGGwe6w7QFrZ+3tTXuu/U6Zem6w99fCnvNn7tbB3K3H3vO3deb47tAeXjNHr9HR6wMcv0ZHrw+wzRplgtfhJCIiIiIiIiKi/89mz1lERERERERERESWx2YRERERERERERFJ2CwiIiIiIiIiIiIJm0VERERERERERCRhs8gGpKeno3///vD09ISvry+eeuopFBcXWzstq0hPT4dMJkNSUpK1U7GIn3/+GWPHjoWPjw/c3d3x0EMPobCw0Nppmd3Nmzfxpz/9CUFBQXBzc0OPHj3w5ptvoq6uztqpmdz+/fvxxBNPICAgADKZDP/+97/17hdCIDU1FQEBAXBzc8OwYcNw8uRJ6yTrwN5//30EBQXB1dUV4eHh+M9//tNsfF5eHsLDw+Hq6ooePXrggw8+sFCm/9OWuWHfvn2QyWQG/7799lsLZf0/qampBnmoVKpmH2ML2x0Aunfv3uh2nDZtWqPx1tzu5hpjtm7dij59+kChUKBPnz7Yvn27xfPX6XSYO3cuQkND4eHhgYCAAIwbNw6//PJLs+tct25do6/HjRs3LJY7AEyYMMEgh4EDB7a4Xktte2qZsXOHOZjib1yr1WLGjBno1KkTPDw8EBcXhwsXLujFlJeXIzExEUqlEkqlEomJibhy5YpezLlz5/DEE0/Aw8MDnTp1wsyZM1FTU6MXc/z4cQwdOhRubm7o3Lkz3nzzTTR3PaXWzHX2XuOKFSvQt29feHl5wcvLC5GRkfj8888dpr6GGvs+Z+81tvSZxt7ra5Igq4uJiRFr164VJ06cEEVFRWL06NGia9eu4urVq9ZOzaIKCgpE9+7dRd++fcWsWbOsnY7Z/fbbb6Jbt25iwoQJ4vDhw6KkpETs2bNH/PDDD9ZOzezefvtt4ePjIz799FNRUlIi/vnPf4q77rpLLF++3NqpmdyuXbvEggULxNatWwUAsX37dr37Fy9eLDw9PcXWrVvF8ePHxTPPPCP8/f1FZWWldRJ2QJs3bxZyuVysXr1anDp1SsyaNUt4eHiIs2fPNhr/008/CXd3dzFr1ixx6tQpsXr1aiGXy8W//vUvi+bdlrlh7969AoAoLi4WpaWl0r+bN29aMPNb3njjDfHAAw/o5VFWVtZkvK1sdyGEKCsr08tbrVYLAGLv3r2Nxltzu5tjjMnPzxdOTk4iLS1NnD59WqSlpQlnZ2dx6NAhi+Z/5coVMWLECLFlyxbx7bffioMHD4qIiAgRHh7e7DrXrl0rvLy89F6L0tJSi+YuhBDjx48XI0eO1Mvh8uXLza7Tktuemmfs3GEupvgbf/nll0Xnzp2FWq0WX331lXj00UfFgw8+qDdGjRw5UoSEhIj8/HyRn58vQkJCRGxsrHT/zZs3RUhIiHj00UfFV199JdRqtQgICBDTp0+XYioqKoSfn5949tlnxfHjx8XWrVuFp6en+Mtf/tJkfa2Z6+y9xh07dojPPvtMFBcXi+LiYvHaa68JuVwuTpw44RD13a6p73P2XmNLn2nsvb6msFlkg8rKygQAkZeXZ+1ULKaqqkoEBwcLtVothg4d2i6aRXPnzhVDhgyxdhpWMXr0aPHiiy/qLRszZowYO3aslTKyjIYf8urq6oRKpRKLFy+Wlt24cUMolUrxwQcfWCFDxzRgwADx8ssv6y3r1auXmDdvXqPxc+bMEb169dJbNmXKFDFw4ECz5dgarZkb6psW5eXllkusCW+88YZ48MEHWx1vq9tdCCFmzZol7r33XlFXV9fo/bay3U01xsTHx4uRI0fqLYuJiRHPPvusyXO+XWNfhBsqKCgQAJr9wr527VqhVCpNm1wLmmoWPfnkk0atx1rbngwZO3dYQlv+xq9cuSLkcrnYvHmzFPPzzz+LDh06iJycHCGEEKdOnRIA9JqSBw8eFADEt99+K4S41bTq0KGD+Pnnn6WYjz/+WCgUClFRUSGEEOL9998XSqVS3LhxQ4pJT08XAQEBTY6fDTWc6xyxRiGE6Nixo/jwww8dqr6mvs85Qo3NfaZxhPqawsPQbFBFRQUAwNvb28qZWM60adMwevRojBgxwtqpWMyOHTvQr18/PP300/D19UVYWBhWr15t7bQsYsiQIfjiiy/w3XffAQC+/vprHDhwAI8//riVM7OskpISaDQaREdHS8sUCgWGDh2K/Px8K2bmOGpqalBYWKi3jQEgOjq6yW188OBBg/iYmBgcPXoUOp3ObLm2xJi5ISwsDP7+/hg+fDj27t1r7tSa9P333yMgIABBQUF49tln8dNPPzUZa6vbvaamBtnZ2XjxxRchk8majbWV7V6vrWNMU6+FLYxLFRUVkMlkuPvuu5uNu3r1Krp164YuXbogNjYWx44ds0yCDezbtw++vr64//77MWnSJJSVlTUbb8vbvj1py9xhDa35Gy8sLIROp9OLCQgIQEhIiBRz8OBBKJVKRERESDEDBw6EUqnUiwkJCUFAQIAUExMTA61WK51C4eDBgxg6dCgUCoVezC+//IIzZ860qqaGc52j1VhbW4vNmzfj2rVriIyMdKj6mvo+5yg1NvWZxlHqawybRTZGCIHk5GQMGTIEISEh1k7HIjZv3ozCwkKkp6dbOxWL+umnn7BixQoEBwdj9+7dePnllzFz5kx89NFH1k7N7ObOnYvnnnsOvXr1glwuR1hYGJKSkvDcc89ZOzWL0mg0AAA/Pz+95X5+ftJ9dGd+/fVX1NbWGrWNNRpNo/E3b97Er7/+arZcm9PaucHf3x+rVq3C1q1bsW3bNvTs2RPDhw/H/v37LZjtLREREfjoo4+we/durF69GhqNBoMGDcLly5cbjbfF7Q4A//73v3HlyhVMmDChyRhb2u63a+sY09RrYe1x6caNG5g3bx4SEhLg5eXVZFyvXr2wbt067NixAx9//DFcXV0xePBgfP/99xbMFhg1ahQ2btyIL7/8Eu+++y6OHDmCxx57DFqttsnH2Oq2b2/aMndYQ2v+xjUaDVxcXNCxY8dmY3x9fQ3W7+vrqxfT8Hk6duwIFxeXZmPqb7dmuzU21zlKjcePH8ddd90FhUKBl19+Gdu3b0efPn0cpr7mvs85Qo3NfaZxhPqa4mxUNJnd9OnT8c033+DAgQPWTsUizp8/j1mzZiE3Nxeurq7WTsei6urq0K9fP6SlpQG49Yv0yZMnsWLFCowbN87K2ZnXli1bkJ2djU2bNuGBBx5AUVERkpKSEBAQgPHjx1s7PYtruLeCEKLFPRjIOMZu48biG1tuKa2dG3r27ImePXtKtyMjI3H+/Hn85S9/wSOPPGLuNPWMGjVK+v/Q0FBERkbi3nvvxfr165GcnNzoY2xtuwPAmjVrMGrUKL1f8Rqype3emLaMMbY2Lul0Ojz77LOoq6vD+++/32zswIED9U4kPXjwYPzud79DZmYm/va3v5k7Vckzzzwj/X9ISAj69euHbt264bPPPsOYMWOafJytbfv2zF5ei7bk2TCmsXhTxBgzjjc319l7jT179kRRURGuXLmCrVu3Yvz48cjLy2t2nfZSX2u/z9lzjc19pqmfb+y5vqZwzyIbMmPGDOzYsQN79+5Fly5drJ2ORRQWFqKsrAzh4eFwdnaGs7Mz8vLy8Le//Q3Ozs6ora21dopm4+/vjz59+ugt6927N86dO2eljCzn1Vdfxbx58/Dss88iNDQUiYmJeOWVV9rd3mX1V1Fo2OUvKysz+EWA2qZTp05wcnIyahurVKpG452dneHj42O2XJtyp3PDwIEDLb5HRWM8PDwQGhraZC62tt0B4OzZs9izZw9eeuklox9rC9u9rWNMU6+FtcYlnU6H+Ph4lJSUQK1WN7tXUWM6dOiA/v37W/318Pf3R7du3ZrNw9a2fXvVlrnDGlrzN65SqVBTU4Py8vJmYy5evGiw/kuXLunFNHye8vJy6HS6ZmPqD71sabs1Ndc5So0uLi6477770K9fP6Snp+PBBx/EX//6V4eor6Xvc03t1WJPNTZ0+2caR3gNm8JmkQ0QQmD69OnYtm0bvvzySwQFBVk7JYsZPnw4jh8/jqKiIulfv3798Pzzz6OoqAhOTk7WTtFsBg8ebHBp0O+++w7dunWzUkaWU11djQ4d9IcfJycn1NXVWSkj6wgKCoJKpYJarZaW1dTUIC8vD4MGDbJiZo7DxcUF4eHhetsYANRqdZPbODIy0iA+NzcX/fr1g1wuN1uuDZlqbjh27Bj8/f1NnJ3xtFotTp8+3WQutrLdb7d27Vr4+vpi9OjRRj/WFrZ7W8eYpl4La4xL9Y2i77//Hnv27GlT41AIgaKiIqu/HpcvX8b58+ebzcOWtn171pa5wxpa8zceHh4OuVyuF1NaWooTJ05IMZGRkaioqEBBQYEUc/jwYVRUVOjFnDhxAqWlpVJMbm4uFAoFwsPDpZj9+/frXcY7NzcXAQEB6N69e6M1tDTXOUKNTdWt1Wodor6Wvs/16NHD7mts6PbPNI7wGjbJqNNhk1n88Y9/FEqlUuzbt0/vcnzV1dXWTs0q2svV0AoKCoSzs7NYtGiR+P7778XGjRuFu7u7yM7OtnZqZjd+/HjRuXNn8emnn4qSkhKxbds20alTJzFnzhxrp2ZyVVVV4tixY+LYsWMCgFi6dKk4duyYdCWfxYsXC6VSKbZt2yaOHz8unnvuuRYva03Gqb/88Zo1a8SpU6dEUlKS8PDwEGfOnBFCCDFv3jyRmJgoxddfwv2VV14Rp06dEmvWrLHKJdxbMzc0zH3ZsmVi+/bt4rvvvhMnTpwQ8+bNEwDE1q1bLZq7EELMnj1b7Nu3T/z000/i0KFDIjY2Vnh6etr8dq9XW1srunbtKubOnWtwny1td1OMMYmJiXpXePrvf/8rnJycxOLFi8Xp06fF4sWLzXb59uby1+l0Ii4uTnTp0kUUFRXp/R1otdom809NTRU5OTnixx9/FMeOHRMvvPCCcHZ2FocPH7ZY7lVVVWL27NkiPz9flJSUiL1794rIyEjRuXNnm9n21LyW5g5LMcXf+Msvvyy6dOki9uzZI7766ivx2GOPNXrJ7r59+4qDBw+KgwcPitDQ0EYv2T18+HDx1VdfiT179oguXbroXbL7ypUrws/PTzz33HPi+PHjYtu2bcLLy6vZS3a3Zq6z9xrnz58v9u/fL0pKSsQ333wjXnvtNdGhQweRm5vrEPU1puH3OXuvsaXPNPZeX1PYLLIBABr9t3btWmunZhXtpVkkhBA7d+4UISEhQqFQiF69eolVq1ZZOyWLqKysFLNmzRJdu3YVrq6uokePHmLBggV6H/4dRf0ltRv+Gz9+vBDi1uU233jjDaFSqYRCoRCPPPKIOH78uHWTdkDvvfee6Natm3BxcRG/+93v9C4/P378eDF06FC9+H379omwsDDh4uIiunfvLlasWGHhjFs3NzTMfcmSJeLee+8Vrq6uomPHjmLIkCHis88+s3juQgjxzDPPCH9/fyGXy0VAQIAYM2aMOHnypHS/rW73ert37xYARHFxscF9trTdTTHGDB06VIqv989//lP07NlTyOVy0atXL7M1vprLv6SkpMm/g7179zaZf1JSkujatatwcXER99xzj4iOjhb5+fkWzb26ulpER0eLe+65R8jlctG1a1cxfvx4ce7cOb11WHPbU8uamzssxRR/49evXxfTp08X3t7ews3NTcTGxhq8Fy9fviyef/554enpKTw9PcXzzz8vysvL9WLOnj0rRo8eLdzc3IS3t7eYPn263uW5hRDim2++EQ8//LBQKBRCpVKJ1NTUZi/X3Zq5zt5rfPHFF6X30T333COGDx8uNYocob7GNPw+Z+81tvSZxt7ra4pMiP9/tiMiIiIiIiIiImr3eM4iIiIiIiIiIiKSsFlEREREREREREQSNouIiIiIiIiIiEjCZhEREREREREREUnYLCIiIiIiIiIiIgmbRUREREREREREJGGziIiIiIiIiIiIJGwWERERERERERGRhM0iIiIiIiIiIiKSsFlEREREREREREQSNouIiIiIiIiIiEjCZhEREREREREREUn+H6icWpcBZ309AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1400x800 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_house.hist(figsize=(14,8)) #her columnn un ayrı ayrı histogram grafiğini verir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b094fdec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,8)) #iç içe geçmesin diye düzenledik\n",
    "sns.heatmap(df_house.corr(),annot=True,cmap=\"YlGnBu\")\n",
    "#aralarındaki yüksek ilişki azalmadığı için ilgili sütunları droplayacağız"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "a19ac7f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>median_income</th>\n",
       "      <th>ocean_proximity</th>\n",
       "      <th>median_house_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8.3252</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>452600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8.3014</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>358500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.2574</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>352100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5.6431</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>341300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.8462</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>342200.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   median_income ocean_proximity  median_house_value\n",
       "0         8.3252        NEAR BAY            452600.0\n",
       "1         8.3014        NEAR BAY            358500.0\n",
       "2         7.2574        NEAR BAY            352100.0\n",
       "3         5.6431        NEAR BAY            341300.0\n",
       "4         3.8462        NEAR BAY            342200.0"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_house.drop(['longitude','latitude','housing_median_age','total_rooms', 'total_bedrooms','population',\"households\"],\n",
    "            axis=1,inplace=True)\n",
    "#droplama işlemini gerçekleştirdik\n",
    "df_house.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "f67bb29b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['NEAR BAY', '<1H OCEAN', 'INLAND', 'NEAR OCEAN', 'ISLAND'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_house[\"ocean_proximity\"].unique() #Sözel veri regresyon yapamayız"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "68451a48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>&lt;1H OCEAN</th>\n",
       "      <th>INLAND</th>\n",
       "      <th>ISLAND</th>\n",
       "      <th>NEAR BAY</th>\n",
       "      <th>NEAR OCEAN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20635</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20636</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <th>20638</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20433 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       <1H OCEAN  INLAND  ISLAND  NEAR BAY  NEAR OCEAN\n",
       "0              0       0       0         1           0\n",
       "1              0       0       0         1           0\n",
       "2              0       0       0         1           0\n",
       "3              0       0       0         1           0\n",
       "4              0       0       0         1           0\n",
       "...          ...     ...     ...       ...         ...\n",
       "20635          0       1       0         0           0\n",
       "20636          0       1       0         0           0\n",
       "20637          0       1       0         0           0\n",
       "20638          0       1       0         0           0\n",
       "20639          0       1       0         0           0\n",
       "\n",
       "[20433 rows x 5 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.get_dummies(df_house.ocean_proximity) #ne kadar farklı değer varsa ona göre matris oluşturuyor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "7b787a38",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
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       "      <td>342200.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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      ],
      "text/plain": [
       "       median_income ocean_proximity  median_house_value  <1H OCEAN  INLAND  \\\n",
       "0             8.3252        NEAR BAY            452600.0          0       0   \n",
       "1             8.3014        NEAR BAY            358500.0          0       0   \n",
       "2             7.2574        NEAR BAY            352100.0          0       0   \n",
       "3             5.6431        NEAR BAY            341300.0          0       0   \n",
       "4             3.8462        NEAR BAY            342200.0          0       0   \n",
       "...              ...             ...                 ...        ...     ...   \n",
       "20635         1.5603          INLAND             78100.0          0       1   \n",
       "20636         2.5568          INLAND             77100.0          0       1   \n",
       "20637         1.7000          INLAND             92300.0          0       1   \n",
       "20638         1.8672          INLAND             84700.0          0       1   \n",
       "20639         2.3886          INLAND             89400.0          0       1   \n",
       "\n",
       "       ISLAND  NEAR BAY  NEAR OCEAN  \n",
       "0           0         1           0  \n",
       "1           0         1           0  \n",
       "2           0         1           0  \n",
       "3           0         1           0  \n",
       "4           0         1           0  \n",
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       "20635       0         0           0  \n",
       "20636       0         0           0  \n",
       "20637       0         0           0  \n",
       "20638       0         0           0  \n",
       "20639       0         0           0  \n",
       "\n",
       "[20433 rows x 8 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_house=df_house.join(pd.get_dummies(df_house.ocean_proximity)) \n",
    "#sözel veriyi sayısal olarak ifade etmek için .get_dummies() kullandı \n",
    "#ve df_house ile birleştirip df_house dataframe ine kaydetti\n",
    "df_house"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "65ef57c8",
   "metadata": {},
   "outputs": [
    {
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>20433 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       median_income  median_house_value  <1H OCEAN  INLAND  ISLAND  NEAR BAY  \\\n",
       "0             8.3252            452600.0          0       0       0         1   \n",
       "1             8.3014            358500.0          0       0       0         1   \n",
       "2             7.2574            352100.0          0       0       0         1   \n",
       "3             5.6431            341300.0          0       0       0         1   \n",
       "4             3.8462            342200.0          0       0       0         1   \n",
       "...              ...                 ...        ...     ...     ...       ...   \n",
       "20635         1.5603             78100.0          0       1       0         0   \n",
       "20636         2.5568             77100.0          0       1       0         0   \n",
       "20637         1.7000             92300.0          0       1       0         0   \n",
       "20638         1.8672             84700.0          0       1       0         0   \n",
       "20639         2.3886             89400.0          0       1       0         0   \n",
       "\n",
       "       NEAR OCEAN  \n",
       "0               0  \n",
       "1               0  \n",
       "2               0  \n",
       "3               0  \n",
       "4               0  \n",
       "...           ...  \n",
       "20635           0  \n",
       "20636           0  \n",
       "20637           0  \n",
       "20638           0  \n",
       "20639           0  \n",
       "\n",
       "[20433 rows x 7 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_house.drop(\"ocean_proximity\",axis=1,inplace=True) #ocean_proximity columnunu sildi. Artık sözel column kalmadı elimizde\n",
    "df_house"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c3e30ff4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#veriler train ve test olmak ,üzere iki gruba ayrılır\n",
    "#train eğittiğimiz veriler, test ise test yaptığımız veriler.\n",
    "#test verileri 1 e ne kadar yakınsa o kadar gerçekçi bir sonuç alırız\n",
    "#1.Random\n",
    "#2.Elle %80 Train,%20 Test\n",
    "#cross validation-> bir başka doğrulama yöntemidir.veriler n kümeye böülünür\n",
    "#örneğin ne=5 olsun\n",
    "# 1 2 3 4 5\n",
    "#1.adımda 1.küme test [2,3,4,5] eğititm için kullanılır.Metrikler bulunur.\n",
    "#2.adımda 2.küme test [1,3,4,5] eğititm için kullanılır.Metrikler bulunur.\n",
    "#3.adımda 3.küme test [1,2,4,5] eğititm için kullanılır.Metrikler bulunur.\n",
    "#4.adımda 4.küme test [1,2,3,5] eğititm için kullanılır.Metrikler bulunur.\n",
    "#5.adımda 5.küme test [1,2,3,4] eğititm için kullanılır.Metrikler bulunur."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "18d1493a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1400x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,8)) #iç içe geçmesin diye düzenledik\n",
    "sns.heatmap(df_house.corr(),annot=True,cmap=\"YlGnBu\") \n",
    "#düzelttik sıkıntı kalmadı"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "7f9963ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split #train ve test verilerini oluşturan modeli sağlar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "f476d764",
   "metadata": {},
   "outputs": [],
   "source": [
    "X=df_house.drop(\"median_house_value\",axis=1) #X e \"median_house_value\" u droplayıp geri kalan sütunlara eşitledi\n",
    "y=df_house[\"median_house_value\"] #y \"median_house_value\"u atadı"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "70917e14",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2,random_state=42)\n",
    "#train ve test verileri olmak üzere veriyi ikiye ayırdı.\n",
    "#test_size tüm verilerin yüzde kaçının test verisi olacağını belirlememizi sağlar. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "8209361a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression #liner regresyon öğrenmesini sağlayan modelin kütüphanesi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "9f74b5f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "model=LinearRegression()\n",
    "#modelleri oluşturmak için fit metoduy kullanılır"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "b1328bf2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X_train,y_train) #.fit ile modelimizi train verileriyle eğittik\n",
    "#train girişini ve çıkışını verdik"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "79631a96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  37042.78919954,  -43061.24600151, -121026.37632293,\n",
       "        216061.51331833,  -24702.95813541,  -27270.93285848])"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.coef_ #columnların katsayıları.Columnları aşağıda bastık\n",
    "#y=ax1+bx2+cx3...\n",
    "#formülle alakalı, çok önemli bi şey değil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "af37aa3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['median_income', '<1H OCEAN', 'INLAND', 'ISLAND', 'NEAR BAY',\n",
       "       'NEAR OCEAN'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.columns #x in columnlarını getirdi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "3b25d5e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "126758.23835447579"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#sondaki sabit değeri intercept_ ile buluruz\n",
    "model.intercept_ #formülle alakalı, çok önemli bi şey değil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "837da194",
   "metadata": {},
   "outputs": [],
   "source": [
    "#modelimiz ne kadar başarılı????????????\n",
    "y_predict=model.predict(X_test)\n",
    "#eğittiğimiz modeli (train), test verileriyle tahmin ettiriyoruz. Bunu bize .predict() sağlıyor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "c9a7af6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#R^2 value yı bulmalıyız rkare 1 e ne kadar yakınsa o kadar iyi 0 a ne kadar yakınsa o kadar kötü  0<=R^2<=1\n",
    "from sklearn.metrics import r2_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "a3a0dc60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5886326488975673"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(y_test,y_predict) #gerçek değerlerle bizim x değerlerinden tahmin ettiğimiz değerleri karşılaştıryor\n",
    "# ve modelimiz ne kadar iyi olduğunu veriyor\n",
    "# sonuç 1 e ne kadar yaklaşırsa o kadar iyi bir modelimiz var demek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "e2a7cf65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='median_house_value'>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(x=y_test,y=y_predict) #regresyon  değerlerini görebiliriz\n",
    "#doğruya yakın değerler fazlaysa modelimiz iyidir deriz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "4c2a862a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([217424.13774948, 171946.56144879, 203111.83189551, ...,\n",
       "       100468.79540937, 134803.75671842, 185622.90322168])"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_predict #X_test verilerinden modelimizin tahmin ettiği"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "fb4d4b90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14416    245800.0\n",
       "16383    137900.0\n",
       "7731     218200.0\n",
       "1410     220800.0\n",
       "1335     170500.0\n",
       "           ...   \n",
       "8291     500001.0\n",
       "6274     157900.0\n",
       "2997     100200.0\n",
       "13440    127700.0\n",
       "14797    133700.0\n",
       "Name: median_house_value, Length: 4087, dtype: float64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test #gerçek veriler"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}