main.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_name_Mumbai = './data/Mumbai_data.csv'\n",
    "file_name_Pune = './data/Pune_data.csv'\n",
    "file_name_Delhi = './data/Delhi_data.csv'\n",
    "\n",
    "data_Mumbai = pd.read_csv(file_name_Mumbai)\n",
    "data_Pune = pd.read_csv(file_name_Pune)\n",
    "data_Delhi = pd.read_csv(file_name_Delhi)\n",
    "\n",
    "data_all = [data_Mumbai, data_Pune, data_Delhi]\n",
    "\n",
    "data = pd.concat(data_all, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5000 entries, 0 to 4999\n",
      "Data columns (total 16 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   house_type        5000 non-null   object \n",
      " 1   house_size        5000 non-null   object \n",
      " 2   location          5000 non-null   object \n",
      " 3   city              5000 non-null   object \n",
      " 4   latitude          5000 non-null   float64\n",
      " 5   longitude         5000 non-null   float64\n",
      " 6   price             5000 non-null   int64  \n",
      " 7   currency          5000 non-null   object \n",
      " 8   numBathrooms      4986 non-null   float64\n",
      " 9   numBalconies      733 non-null    float64\n",
      " 10  isNegotiable      571 non-null    object \n",
      " 11  priceSqFt         0 non-null      float64\n",
      " 12  verificationDate  5000 non-null   object \n",
      " 13  description       4922 non-null   object \n",
      " 14  SecurityDeposit   5000 non-null   object \n",
      " 15  Status            5000 non-null   object \n",
      "dtypes: float64(5), int64(1), object(10)\n",
      "memory usage: 625.1+ KB\n",
      "\n",
      "\n",
      "\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3910 entries, 0 to 3909\n",
      "Data columns (total 16 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   house_type        3910 non-null   object \n",
      " 1   house_size        3910 non-null   object \n",
      " 2   location          3910 non-null   object \n",
      " 3   city              3910 non-null   object \n",
      " 4   latitude          3910 non-null   float64\n",
      " 5   longitude         3910 non-null   float64\n",
      " 6   price             3910 non-null   int64  \n",
      " 7   currency          3910 non-null   object \n",
      " 8   numBathrooms      3893 non-null   float64\n",
      " 9   numBalconies      1821 non-null   float64\n",
      " 10  isNegotiable      526 non-null    object \n",
      " 11  priceSqFt         0 non-null      float64\n",
      " 12  verificationDate  3910 non-null   object \n",
      " 13  description       3442 non-null   object \n",
      " 14  SecurityDeposit   3910 non-null   object \n",
      " 15  Status            3910 non-null   object \n",
      "dtypes: float64(5), int64(1), object(10)\n",
      "memory usage: 488.9+ KB\n",
      "\n",
      "\n",
      "\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5000 entries, 0 to 4999\n",
      "Data columns (total 16 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   house_type        5000 non-null   object \n",
      " 1   house_size        5000 non-null   object \n",
      " 2   location          5000 non-null   object \n",
      " 3   city              5000 non-null   object \n",
      " 4   latitude          5000 non-null   float64\n",
      " 5   longitude         5000 non-null   float64\n",
      " 6   price             5000 non-null   int64  \n",
      " 7   currency          5000 non-null   object \n",
      " 8   numBathrooms      4975 non-null   float64\n",
      " 9   numBalconies      2737 non-null   float64\n",
      " 10  isNegotiable      179 non-null    object \n",
      " 11  priceSqFt         0 non-null      float64\n",
      " 12  verificationDate  5000 non-null   object \n",
      " 13  description       4715 non-null   object \n",
      " 14  SecurityDeposit   5000 non-null   object \n",
      " 15  Status            5000 non-null   object \n",
      "dtypes: float64(5), int64(1), object(10)\n",
      "memory usage: 625.1+ KB\n",
      "\n",
      "\n",
      "\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 13910 entries, 0 to 13909\n",
      "Data columns (total 16 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   house_type        13910 non-null  object \n",
      " 1   house_size        13910 non-null  object \n",
      " 2   location          13910 non-null  object \n",
      " 3   city              13910 non-null  object \n",
      " 4   latitude          13910 non-null  float64\n",
      " 5   longitude         13910 non-null  float64\n",
      " 6   price             13910 non-null  int64  \n",
      " 7   currency          13910 non-null  object \n",
      " 8   numBathrooms      13854 non-null  float64\n",
      " 9   numBalconies      5291 non-null   float64\n",
      " 10  isNegotiable      1276 non-null   object \n",
      " 11  priceSqFt         0 non-null      float64\n",
      " 12  verificationDate  13910 non-null  object \n",
      " 13  description       13079 non-null  object \n",
      " 14  SecurityDeposit   13910 non-null  object \n",
      " 15  Status            13910 non-null  object \n",
      "dtypes: float64(5), int64(1), object(10)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "for df in data_all:\n",
    "    df.info()\n",
    "    print('\\n\\n')\n",
    "\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>price</th>\n",
       "      <th>numBathrooms</th>\n",
       "      <th>numBalconies</th>\n",
       "      <th>priceSqFt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>13910.00</td>\n",
       "      <td>13910.00</td>\n",
       "      <td>13910.00</td>\n",
       "      <td>13854.00</td>\n",
       "      <td>5291.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>22.38</td>\n",
       "      <td>74.71</td>\n",
       "      <td>108497.13</td>\n",
       "      <td>2.33</td>\n",
       "      <td>1.84</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.66</td>\n",
       "      <td>2.18</td>\n",
       "      <td>193434.88</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.70</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>17.47</td>\n",
       "      <td>18.50</td>\n",
       "      <td>1500.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>18.61</td>\n",
       "      <td>72.97</td>\n",
       "      <td>18000.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>19.15</td>\n",
       "      <td>73.90</td>\n",
       "      <td>33000.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>28.55</td>\n",
       "      <td>77.15</td>\n",
       "      <td>90000.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>31.11</td>\n",
       "      <td>91.79</td>\n",
       "      <td>3010101.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       latitude  longitude       price  numBathrooms  numBalconies  priceSqFt\n",
       "count  13910.00   13910.00    13910.00      13854.00       5291.00        0.0\n",
       "mean      22.38      74.71   108497.13          2.33          1.84        NaN\n",
       "std        4.66       2.18   193434.88          1.00          0.70        NaN\n",
       "min       17.47      18.50     1500.00          1.00          1.00        NaN\n",
       "25%       18.61      72.97    18000.00          2.00          1.00        NaN\n",
       "50%       19.15      73.90    33000.00          2.00          2.00        NaN\n",
       "75%       28.55      77.15    90000.00          3.00          2.00        NaN\n",
       "max       31.11      91.79  3010101.00         10.00          8.00        NaN"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(data.describe(), 2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "house_type          0.000000\n",
       "house_size          0.000000\n",
       "location            0.000000\n",
       "city                0.000000\n",
       "latitude            0.000000\n",
       "longitude           0.000000\n",
       "price               0.000000\n",
       "currency            0.000000\n",
       "numBathrooms        0.004026\n",
       "numBalconies        0.619626\n",
       "isNegotiable        0.908267\n",
       "priceSqFt           1.000000\n",
       "verificationDate    0.000000\n",
       "description         0.059741\n",
       "SecurityDeposit     0.000000\n",
       "Status              0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().mean()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>numBalconies</th>\n",
       "      <td>0.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>isNegotiable</th>\n",
       "      <td>0.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>priceSqFt</th>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              percentage\n",
       "numBalconies        0.62\n",
       "isNegotiable        0.91\n",
       "priceSqFt           1.00"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_value = pd.DataFrame(data.isna().mean(), columns=['percentage'])\n",
    "missing_value = missing_value[missing_value['percentage'] >= 0.5]\n",
    "round(missing_value, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "numBalconies 's kinds:  [nan  2.  4.  1.  5.  6.  3.  8.]\n",
      "isNegotiable 's kinds:  [nan 'Negotiable']\n",
      "priceSqFt 's kinds:  [nan]\n"
     ]
    }
   ],
   "source": [
    "idx=missing_value.index\n",
    "\n",
    "for i in idx:\n",
    "    print(i, \"\\'s kinds: \", data[i].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_for_EDA = data_for_model = data\n",
    "data_for_EDA[idx] = data_for_EDA[idx].fillna(0)\n",
    "data_for_EDA = data_for_EDA.drop('priceSqFt', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 13024 entries, 0 to 13909\n",
      "Data columns (total 15 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   house_type        13024 non-null  object \n",
      " 1   house_size        13024 non-null  object \n",
      " 2   location          13024 non-null  object \n",
      " 3   city              13024 non-null  object \n",
      " 4   latitude          13024 non-null  float64\n",
      " 5   longitude         13024 non-null  float64\n",
      " 6   price             13024 non-null  int64  \n",
      " 7   currency          13024 non-null  object \n",
      " 8   numBathrooms      13024 non-null  float64\n",
      " 9   numBalconies      13024 non-null  float64\n",
      " 10  isNegotiable      13024 non-null  object \n",
      " 11  verificationDate  13024 non-null  object \n",
      " 12  description       13024 non-null  object \n",
      " 13  SecurityDeposit   13024 non-null  object \n",
      " 14  Status            13024 non-null  object \n",
      "dtypes: float64(4), int64(1), object(10)\n",
      "memory usage: 1.6+ MB\n"
     ]
    }
   ],
   "source": [
    "data_for_EDA = data_for_EDA.dropna()\n",
    "data_for_EDA.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2 BHK Apartment ', '3 BHK Apartment ', '1 RK Studio Apartment ',\n",
       "       '1 BHK Apartment ', '4 BHK Apartment ', '1 BHK Independent Floor ',\n",
       "       '3 BHK Villa ', '3 BHK Independent House ',\n",
       "       '4 BHK Independent House ', '4 BHK Villa ', '6 BHK Apartment ',\n",
       "       '2 BHK Independent House ', '5 BHK Apartment ', '1 BHK Villa ',\n",
       "       '4 BHK Independent Floor ', '6 BHK Villa ', '5 BHK Villa ',\n",
       "       '3 BHK Independent Floor ', '2 BHK Independent Floor ',\n",
       "       '6 BHK penthouse ', '1 BHK Independent House ',\n",
       "       '5 BHK Independent House ', '2 BHK Villa ',\n",
       "       '6 BHK Independent House ', '8 BHK Independent Floor ',\n",
       "       '6 BHK Independent Floor ', '5 BHK Independent Floor ',\n",
       "       '7 BHK Independent Floor ', '8 BHK Independent House ',\n",
       "       '10 BHK Independent House ', '7 BHK Independent House ',\n",
       "       '9 BHK Independent House ', '8 BHK Villa ',\n",
       "       '12 BHK Independent House '], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_for_EDA['house_type'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Other' 'Studio Apartment' 'Independent Floor' 'Villa'\n",
      " 'Independent House' 'Penthouse']\n"
     ]
    }
   ],
   "source": [
    "def normalize_house_type(house_type):\n",
    "    if 'penthouse' in house_type:\n",
    "        return 'Penthouse'\n",
    "    elif 'Studio Apartment' in house_type:\n",
    "        return 'Studio Apartment'\n",
    "    elif 'Villa' in house_type:\n",
    "        return 'Villa'\n",
    "    elif 'Independent Floor' in house_type:\n",
    "        return 'Independent Floor'\n",
    "    elif 'Independent House' in house_type:\n",
    "        return 'Independent House'\n",
    "    else:\n",
    "        return 'Other'\n",
    "    \n",
    "data_for_EDA['normalize_house_type'] = data_for_EDA['house_type'].apply(normalize_house_type)\n",
    "print(data_for_EDA['normalize_house_type'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['1,180 sq ft', '1,120 sq ft', '1,200 sq ft', ..., '6,321 sq ft',\n",
       "       '333 sq ft', '1,855 sq ft'], dtype=object)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_for_EDA['house_size'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1000     0  2000  3000  4000  8000  6000  5000  7000  9000 10000 14000]\n"
     ]
    }
   ],
   "source": [
    "data_for_EDA['house_size_1000'] = (data_for_EDA['house_size'].str.replace(' sq ft', '').str.replace(',', '').astype(int) // 1000) * 1000\n",
    "house_size_price_mean = data_for_EDA.groupby('house_size_1000')['price'].mean()\n",
    "print(data_for_EDA['house_size_1000'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Posted 2 years ago', 'Posted a month ago', 'Posted 3 years ago',\n",
       "       'Posted 3 months ago', 'Posted 2 months ago', 'Posted 23 days ago',\n",
       "       'Posted 18 days ago', 'Posted 11 days ago', 'Posted 4 days ago',\n",
       "       'Posted a day ago', 'Posted 17 days ago', 'Posted 4 months ago',\n",
       "       'Posted 12 days ago', 'Posted 8 months ago', 'Posted a year ago',\n",
       "       'Posted 13 days ago', 'Posted 16 days ago', 'Posted 20 days ago',\n",
       "       'Posted 19 days ago', 'Posted 22 days ago', 'Posted 9 days ago',\n",
       "       'Posted 15 days ago', 'Posted 21 days ago', 'Posted 14 days ago',\n",
       "       'Posted 5 days ago', 'Posted 10 days ago', 'Posted 20 hours ago',\n",
       "       'Posted 8 days ago', 'Posted 2 days ago', 'Posted 24 days ago',\n",
       "       'Posted 3 days ago', 'Posted 25 days ago', 'Posted 7 days ago',\n",
       "       'Posted 6 days ago', 'Posted 17 hours ago', 'Posted 5 months ago',\n",
       "       'Posted 19 hours ago', 'Posted 16 hours ago',\n",
       "       'Posted 10 hours ago', 'Posted 21 hours ago',\n",
       "       'Posted 11 hours ago', 'Posted 18 hours ago',\n",
       "       'Posted 14 hours ago', 'Posted 10 months ago',\n",
       "       'Posted 9 months ago', 'Posted 6 months ago', 'Posted 4 years ago',\n",
       "       'Posted 13 hours ago', 'Posted 33 minutes ago',\n",
       "       'Posted an hour ago', 'Posted 8 hours ago', 'Posted 3 hours ago',\n",
       "       'Posted 15 hours ago', 'Posted 37 minutes ago',\n",
       "       'Posted 7 months ago', 'Posted 6 hours ago', 'Posted 5 hours ago',\n",
       "       'Posted 4 hours ago', 'Posted 2 hours ago',\n",
       "       'Posted 35 minutes ago', 'Posted 9 hours ago'], dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_for_EDA['verificationDate'].unique()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['year', 'month', 'day', 'hour', 'minute'], dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def normalize_data_type(date_str):\n",
    "    if 'year' in date_str or 'years' in date_str:\n",
    "        return 'year'\n",
    "    elif 'month' in date_str or 'months' in date_str:\n",
    "        return 'month'\n",
    "    elif 'day' in date_str or 'days' in date_str:\n",
    "        return 'day'\n",
    "    elif 'hour' in date_str or 'hours' in date_str:\n",
    "        return 'hour'\n",
    "    elif 'minute' in date_str or 'minutes' in date_str:\n",
    "        return 'minute'\n",
    "    else:\n",
    "        return 'Other'\n",
    "    \n",
    "data_for_EDA['date_type'] = data_for_EDA['verificationDate'].apply(normalize_data_type)\n",
    "data_for_EDA['date_type'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 13024 entries, 0 to 13909\n",
      "Data columns (total 18 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   house_type            13024 non-null  object \n",
      " 1   house_size            13024 non-null  object \n",
      " 2   location              13024 non-null  object \n",
      " 3   city                  13024 non-null  object \n",
      " 4   latitude              13024 non-null  float64\n",
      " 5   longitude             13024 non-null  float64\n",
      " 6   price                 13024 non-null  int64  \n",
      " 7   currency              13024 non-null  object \n",
      " 8   numBathrooms          13024 non-null  float64\n",
      " 9   numBalconies          13024 non-null  float64\n",
      " 10  isNegotiable          13024 non-null  object \n",
      " 11  verificationDate      13024 non-null  object \n",
      " 12  description           13024 non-null  object \n",
      " 13  SecurityDeposit       13024 non-null  object \n",
      " 14  Status                13024 non-null  object \n",
      " 15  normalize_house_type  13024 non-null  object \n",
      " 16  house_size_1000       13024 non-null  int64  \n",
      " 17  date_type             13024 non-null  object \n",
      "dtypes: float64(4), int64(2), object(12)\n",
      "memory usage: 1.9+ MB\n"
     ]
    }
   ],
   "source": [
    "data_for_model = data_for_EDA\n",
    "data_for_model.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>house_type</th>\n",
       "      <th>house_size</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>price</th>\n",
       "      <th>currency</th>\n",
       "      <th>numBathrooms</th>\n",
       "      <th>numBalconies</th>\n",
       "      <th>isNegotiable</th>\n",
       "      <th>verificationDate</th>\n",
       "      <th>description</th>\n",
       "      <th>SecurityDeposit</th>\n",
       "      <th>Status</th>\n",
       "      <th>normalize_house_type</th>\n",
       "      <th>house_size_1000</th>\n",
       "      <th>date_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2 BHK Apartment</td>\n",
       "      <td>1,180 sq ft</td>\n",
       "      <td>Ulwe</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>18.971046</td>\n",
       "      <td>73.017723</td>\n",
       "      <td>19000</td>\n",
       "      <td>INR</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Posted 2 years ago</td>\n",
       "      <td>It has area of 1180 sqft and is available at a...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>Furnished</td>\n",
       "      <td>Other</td>\n",
       "      <td>1000</td>\n",
       "      <td>year</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2 BHK Apartment</td>\n",
       "      <td>1,120 sq ft</td>\n",
       "      <td>Ulwe</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>18.966377</td>\n",
       "      <td>73.012802</td>\n",
       "      <td>12500</td>\n",
       "      <td>INR</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Posted 2 years ago</td>\n",
       "      <td>Well designed 2 bhk multistorey apartment is a...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>Unfurnished</td>\n",
       "      <td>Other</td>\n",
       "      <td>1000</td>\n",
       "      <td>year</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2 BHK Apartment</td>\n",
       "      <td>1,200 sq ft</td>\n",
       "      <td>Panvel</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>18.965979</td>\n",
       "      <td>73.124649</td>\n",
       "      <td>22000</td>\n",
       "      <td>INR</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Posted a month ago</td>\n",
       "      <td>A spacious 2 bhk multistorey apartment is avai...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>Unfurnished</td>\n",
       "      <td>Other</td>\n",
       "      <td>1000</td>\n",
       "      <td>month</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2 BHK Apartment</td>\n",
       "      <td>750 sq ft</td>\n",
       "      <td>Kandivali West</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>19.213598</td>\n",
       "      <td>72.833633</td>\n",
       "      <td>28500</td>\n",
       "      <td>INR</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Posted 3 years ago</td>\n",
       "      <td>It has a built-up area of 750 sqft and is avai...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>Unfurnished</td>\n",
       "      <td>Other</td>\n",
       "      <td>0</td>\n",
       "      <td>year</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3 BHK Apartment</td>\n",
       "      <td>1,400 sq ft</td>\n",
       "      <td>Chembur</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>19.062933</td>\n",
       "      <td>72.892395</td>\n",
       "      <td>50000</td>\n",
       "      <td>INR</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Posted 3 years ago</td>\n",
       "      <td>The house is semi-furnished. It has power back...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>Semi-Furnished</td>\n",
       "      <td>Other</td>\n",
       "      <td>1000</td>\n",
       "      <td>year</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         house_type   house_size        location    city   latitude  \\\n",
       "0  2 BHK Apartment   1,180 sq ft            Ulwe  Mumbai  18.971046   \n",
       "1  2 BHK Apartment   1,120 sq ft            Ulwe  Mumbai  18.966377   \n",
       "2  2 BHK Apartment   1,200 sq ft          Panvel  Mumbai  18.965979   \n",
       "3  2 BHK Apartment     750 sq ft  Kandivali West  Mumbai  19.213598   \n",
       "4  3 BHK Apartment   1,400 sq ft         Chembur  Mumbai  19.062933   \n",
       "\n",
       "   longitude  price currency  numBathrooms  numBalconies isNegotiable  \\\n",
       "0  73.017723  19000      INR           2.0           0.0            0   \n",
       "1  73.012802  12500      INR           2.0           0.0            0   \n",
       "2  73.124649  22000      INR           2.0           0.0            0   \n",
       "3  72.833633  28500      INR           2.0           0.0            0   \n",
       "4  72.892395  50000      INR           3.0           0.0            0   \n",
       "\n",
       "     verificationDate                                        description  \\\n",
       "0  Posted 2 years ago  It has area of 1180 sqft and is available at a...   \n",
       "1  Posted 2 years ago  Well designed 2 bhk multistorey apartment is a...   \n",
       "2  Posted a month ago  A spacious 2 bhk multistorey apartment is avai...   \n",
       "3  Posted 3 years ago  It has a built-up area of 750 sqft and is avai...   \n",
       "4  Posted 3 years ago  The house is semi-furnished. It has power back...   \n",
       "\n",
       "  SecurityDeposit          Status normalize_house_type  house_size_1000  \\\n",
       "0      No Deposit       Furnished                Other             1000   \n",
       "1      No Deposit     Unfurnished                Other             1000   \n",
       "2      No Deposit     Unfurnished                Other             1000   \n",
       "3      No Deposit     Unfurnished                Other                0   \n",
       "4      No Deposit  Semi-Furnished                Other             1000   \n",
       "\n",
       "  date_type  \n",
       "0      year  \n",
       "1      year  \n",
       "2     month  \n",
       "3      year  \n",
       "4      year  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_for_model.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_for_model['SecurityDeposit'] = data_for_model['SecurityDeposit'].str.replace(',', '').replace('No Deposit', '0').astype(int)\n",
    "data_for_model['house_size'] = data_for_model['house_size'].astype(str).str.replace('sq ft', '').str.replace(',', '').astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_for_model = data_for_model.drop(['verificationDate','description','house_type','house_size_1000'], axis=1)\n",
    "categorical_dummies = pd.get_dummies(data_for_model.select_dtypes(include=['object']))\n",
    "numerical_columns = data_for_model.select_dtypes(exclude=['object'])\n",
    "data_for_model = pd.concat([categorical_dummies, numerical_columns], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data Shape :  (13910, 16)\n",
      "Data_EDA shape :  (13024, 18)\n",
      "Data_Model shape :  (13024, 678)\n"
     ]
    }
   ],
   "source": [
    "print('Data Shape : ', data.shape)\n",
    "print('Data_EDA shape : ', data_for_EDA.shape)\n",
    "print('Data_Model shape : ', data_for_model.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as Circle\n",
    "from datetime import datetime, timedelta\n",
    "import re\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "import random\n",
    "import os\n",
    "from collections import OrderedDict\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "city_price_mean = data_for_EDA.groupby('city')['price'].mean().sort_values(ascending=False)\n",
    "city_price_mean_df = city_price_mean.reset_index()\n",
    "\n",
    "# Average House Price by City (Barplot)\n",
    "plt.figure(figsize=(12,6))  \n",
    "sns.barplot(x='city', y='price', data=city_price_mean_df)\n",
    "plt.title('Average House Price by City', fontsize=18)\n",
    "plt.xlabel('City', fontsize=14)  \n",
    "plt.ylabel('Average Price', fontsize=14)\n",
    "plt.xticks(rotation=0, fontsize=10)  \n",
    "plt.yticks(fontsize=10)  \n",
    "plt.grid(linestyle='--') \n",
    "plt.show()\n",
    "\n",
    "# Average House Price Distribution by City (Pie plot)\n",
    "city_names = city_price_mean_df['city']\n",
    "average_prices = city_price_mean_df['price']\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.pie(average_prices,autopct='%1.1f%%', startangle=140)\n",
    "plt.title('Average House Price Distribution by City', fontsize=18)  \n",
    "plt.axis('equal')  \n",
    "plt.legend(loc='lower left', bbox_to_anchor=(0.8, 0.2),labels=city_names)  \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "House Price distribution by House Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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k/XUlNbg6qal9elOeeeYZff/735fv+zr99NP14Ycfatu2bdq+fbumT5+uoqIiLVmyRGeffXaDqzbWr1+v3/3ud5KkAQMG7HEOh7QRI0YoFovJdV29+uqr+9ZYoKVyfcYAiIL6Z413P0O7+0/Pnj2DdXcfcfv444/9WCzmS/Kvu+66Jl/r+9//fjCasPvZ4n0ZYb/11lt9Sf4XvvCFjNo+ZsyYPcbr+75/5ZVXNjsSvTfp96q5Nt12223BOr/5zW+C5emRAkn+73//+2aff08j7Pfee28w8jNz5swWx3zhhRf6kvyvfe1rza5zxx13+JL8o446qsXPm5bpCPurr74atPFPf/pTg781N8Le2nzY04h9fek2OI7j//vf/252vZaMsEvyv/GNbzT5+J/+9KfByPMnn3zS4G/7ekVKSx7v+82PsC9cuDCI/+67727ysemrQ3r27OlXV1c3+fqS/Dlz5jR6bE1Njd+3b19fkn/zzTfvMcY9xS3Jf+GFFxr9fefOnf4hhxziS/LHjx/f4G8bN270E4mEL8l/9tlnm4wt3Rfu6fPZnHRcTV3dsPtP+qqPpnLosssuC0bRP/3000Z/X7t2bTACN3ny5AZ/29cR9oKCAl+S/9prr7W43fPnz/cl+b169WpwFcfuMadHmhctWtTi527KnkZEn3jiiWDkeOvWrY3+/uabbwaPXbJkSbPP25rPbpj7nQ8++CCI7c0339zjul/96ld9Sf4BBxzge57X6O+zZs0KnmvevHmN/t5cH7KvxwL7OsLeVH+VNmLECF+Sf/HFFzf59z3Z2wh7RUVF0Gd1797dd123RXEfdthhviT/85//vJ9KpRr9/amnngpe99FHH23wtz3tY5pzxBFH+FLrr14CMsUIO5BlGzZs2ONPejS4Kf/4xz+USqWUn5+va6+9tsl1fvrTnyovL0/JZDKrk56kv6amvLx8r/cNpq1atUpz5sxRLBZr8kx02qRJkyRJL7zwQoufe09c19X777+vKVOmBDPJdu/eXeeff36jdbt16xaM9mUqfW/i+PHjNX78+BY9pqamRn/9618lST/60Y+aXS/9nvznP/9p1ez2mag/SrFly5YWPaY1+dAaX/ziFzV8+PB9fp4bbrihyeU//OEPVVBQoFQqpX/84x/7/DrZ9PDDD0uS+vfvH4xc7e7nP/+5JGnTpk2aPXt2k+sce+yxGj16dKPleXl5wSjonr7ab2+OPfZYnXTSSY2WFxQU6Ic//KGkXfetV1RUBH8rKSnRWWedJanpez1nzJihTZs2qaCgQN/4xjdaHduOHTv22uc2N++G7/vBV21ddtll6tOnT6N1+vfvH8wM/fe//73VcTYl/Rn79NNPW/yYadOmSdo1utvcVRz9+/cP8uG5557btyD34NRTT1X//v1VXV2tv/zlL43+nh5dLysr2+NEa5l+dsPe79Sfd6GkpGSP66bvSf/oo4+anKPgvvvuk7Trqx2PP/74FseQy2MBaddoc1P7U0k67bTTJO1bn7K7bdu26cUXX9SYMWOC9/+73/1uMD/NnixZskTvvvuupF3vieM4jdb50pe+FFwt8be//W2f401/Dd/e5ugAsoWCHcgy3/f3+PPRRx81+9j0pXuf/exnm710rlu3bvrMZz7TYP1sOOmkk5Sfn69Fixbp85//vKZNm7bHWCUFl4N5nqfDDz9cffr0afLni1/8oqRdB9ebN29uVXz1J/aKxWI65JBDdNNNN6m2tlYlJSV68skn1a1bt0aP++xnP9voMv6WSKVSwYRP6UuLW+Ktt94KCoQvfOELzb4n9S91Xb16dcbxha01+dAaxx577D4/x4ABA4KZhXdXXFysESNGSMru5yUb0vGMHj262QPTww47LPi6webiP+aYY5p9jb59+0pq+YmapowZM2avf/M8r8Fl8dL/vgLp6aefbnRSKl3MnXPOOUHh2ho33njjXvvc5gqPjz76KHhfxo4d2+xrpL9qavPmzVn9DJx66qmSpPPPP18/+MEP9NJLL2nnzp17fEy6z502bVqzfUufPn30wgsvSAq3b3EcR9/61rckNb4sfseOHcGJy0suuaTZ52jNZzfs/U55eXnw/71dkj1mzJhgQszdJ5/bsmWLnnrqKUm7vsptb5MT1pfLY4H06zYXbzb6FEkNJnfr1q2bxo4dq7feekvSrpn5f/KTn7ToedJtj8ViOuGEE5pdL/05zsZ7lc6L+rkChCmW6wAA/M/GjRslaa/fB96/f/8G62fDQQcdpHvvvVeXXXaZFixYEMxiXlJSotGjR+trX/uaTjvttAY78fTZZc/zWjxKvLcD0uYUFhaqc+fOknZ9BUznzp114IEH6qSTTtKFF16oHj16NPm4TO6Frm/z5s1KJpOSpNLS0hY/rv4Z97Dfk5aqf2DV3Pu0u9bkQ2u0dvvUt7fPS/rv2fy8ZEMmn/dPPvmk2fiLioqafWwstms3n87l1thTfPX/tnt8xx9/vA4//HC98847uu+++4KRwvfff19z586VpFZf/ZIN9ePdUxvT/W36MQcccEBWXv/Xv/518F7ccccduuOOO+Q4joYNG6YJEybokksuaRRXun+prKxUZWXlXl8j7L7l4osv1s9//nMtXbpUCxcu1MiRIyXtuhqhqqpKXbt23eP3tLfmsxv2fqf+FRl5eXl7XDc9y/iNN96of/zjH5o6dWpQYD/44IOqra2V4zgZfwtCLo8FpPD7FEnq3bt38P+8vDz17NlTw4cP13nnndfkFUPNSbc9/Q0bzcnme5Wej6G5q3eAbGOEHUDgvPPO0+rVq3XXXXfpK1/5igYMGKDy8vLgK81OOOGEBgeJ6csMe/fuvddRrvRPS76eqyn1J/Zat26dVq5cqWeffVY//OEP91iENnV5XEu0thCtf+lldXV1i96T5r5iL1v+85//BP8/6KCDWvy4TPOhNVq7fdA+pEfZ77333mDyufT/hwwZorKyslyGl1Ndu3bVnDlz9PLLL+uaa67Rscceq1gsprfeeks/+9nPdMghhzS6fDfdv/zxj39sUd/S3GRo2dK3b9/gEun6tz6kR9y//vWvNznZ3L4Ie79Tf3+ydevWva5/wQUXyLZtVVdXN7htIn05/MknnxyMSuN/6k/utnr1ar311lu69957MyrWcyV9ErylJ8CBfUXB/l/z58/Xl770JfXt21eWZbVq5mbf93X77bfr0EMPDb5H9xe/+EX2g0VkpUcbP/744z2ul/777qOT6TPfezrrW/8+06Z0795dl156qf7+979rzZo1ev/994Pv3H355ZcbfC9p+p7PTZs2aceOHXt83vame/fuisfjkjK7rLT+fbBt5VL3mTNnSto1ipEeAWupTPIhV/Y2e3f672F8XvbFvn7eTdnT+1v/b03FN2nSJHXq1EkffPCB5syZo2QyGRSRuRxdlxrGu6dtUP9v9R+Tzh+p+RxqSf4cd9xxuvXWW/XKK69o27ZtevLJJzV06FBVV1frwgsvbDCKnO5f2krfIv3vpMwjjzyiyspKLV26VK+//rqkvW/j1nx2w97v1L9vvSWXfQ8cODC43Dp9WfyiRYu0ePFiSY2/e70l2kvf0Bak275p06Ymv2s9LZvvVTov9jbHAZAtFOz/tWPHDh111FGaOnVqq5/ju9/9ru69917dfvvtWr58uZ566qk9fiUIsLv696M1d6C3bdu2Bve31Ze+h3vt2rXNvkb6QKqlDjroIN1yyy362te+JkkNJr5K33/suq7++c9/ZvS8bV0sFgs+v08//XSLH1f/nvlMHheWN954Q7NmzZIknXvuucrPz9+n59tTPkgK7sVOj6aasHbtWn3wwQdN/q2qqiq4LzL9+Urb18/LvrY1Hc/cuXPleV6T6yxfvjwoWnb/vJuSvnx9T3+zbbvJyQO7dOmir371q5J2jcCm72cvKCjQ17/+9XACbqEDDjgguBf1xRdfbHa99P3gPXr0aHA5fP05M5rLoUz72/z8fJ122ml6/PHHJe06EfDKK68Ef0/3uc8880xGzxumsWPH6uCDD9aOHTv00EMPNZhsbsiQIXt8bGs+u2Hvdw455JDgZMyHH37Yoseki/LXX39d77zzTlC4l5SUZDQHStq+Hgt0JOn3KpVK6aWXXmp2vfTnePf3qjX9eHoui8MOOyyjWIHWomD/r1NOOUU333yzJk6c2OTfa2trdfXVV6tfv34qLCzUMccc02BG0HfffVd//OMf9eSTT+q0007TAQccoBEjRgRnXYGWOOussxSLxVRTU6Nbb721yXV++ctfqra2VvF4PJiFOe2oo46StGtm4KZGHubMmRPci7y7PZ2Zlv53z1b9ybEOOeSQ4HLun/zkJ3sdTdrXSWpMSx+EzZo1Kyh696awsDAoZm+99VatWbNmj+uH+Z4sXbpUZ599tnzfV2FhYUbf19uafJAU3L+5bdu2zILdR+nZ1Hf3f//3f6qurlYsFsvq50Xa97aee+65knaNIt57771NrpOeQbtnz557nBgtTK+88kqTM2DX1NTo//7v/yTtuuy3ucnj0iOwTzzxhH79619L2vfJ5rLBsqzg/uq7775b69evb7TOunXrdPfdd0tScOIh7dBDDw0+B019A4HnebrllluafO1UKtXsSRpJDS4jr/8ZS0/gtmzZMv3xj39s9vHSroGIurq6Pa6TDZZlBSPpd955px588EFJe55srr5MP7th73c6d+6so48+WtKuE54tcfrppweXR991113BhHvf+MY3giu1MrGvxwIdyZFHHqnDDz9cknTzzTc3+Y0As2bNCk6e7f45zrQf/+ijj4LJ5vY0yR2QTRTsLXTFFVdowYIF+vvf/64lS5boy1/+sr74xS/qvffek7RrJO3AAw/UM888owMOOED777+/Lr744nZXoCC3+vXrp+9+97uSpF/96le68cYbg53Itm3bdP311+u2226TJH3/+9/Xfvvt1+Dx55xzjmzb1ubNm/XVr341uASsurpaDzzwgCZOnNjsrLdXXHGFzjnnHP3jH/9oMCnL9u3bddddd2n69OmSpAkTJjR43B/+8Ad17txZK1eu1MiRI/Xkk082uDz0k08+0V/+8heddNJJe/yas7boG9/4ho477jj5vq+zzjpLt912W4Ov5Vu3bp1+85vfNGrXL3/5S/Xt21ebNm1SWVmZ/vKXv6iqqir4e3l5uf7xj39o4sSJjQ4e9lVVVZXmzZunSy+9VJ/73Oe0du1aJRIJPfrooxndv97afEiPqL388stavnx5Flq0d126dNEDDzyg7373u8H2qaqq0i9/+Uv97Gc/kyRNnjy50X2k+/J5kf7X1lmzZu310t6mfO5znwsOtL/zne/o//2//xdMjrV+/Xp961vf0qOPPippV1Gzr1dHtFaXLl101lln6bHHHlMqlZK0a+R/woQJWr58uRzHCd7npnzmM5/RiBEjVFdX1+JLpU358Y9/rK5du2rLli0aO3asXnvtteBvr776qsaOHatt27ape/fujb5eq36h9Mtf/lKPPPJIUCCvWLFCEydObParrz7++GMdcsghuvnmm7Vo0aLgfZV2fU1V+uqDwsLCBkXBCSecoG9+85uSduX0VVdd1WAUuLa2VgsXLtQ111yj0tJSYxMtfvOb31ReXp6WLVumrVu37nWyubTWfnbD3u+kTwi09AqJRCIRfD3h1KlTg2O/1lwOL+37sUBHkz6p8fLLL+vss88ORsCTyaQeeuihYD87atQonXHGGQ0em+7HKysrg6953JN0TvTu3VuDBw/OVhOAPcvCd7lHjiR/xowZwe+rV6/2HcfxP/nkkwbrnXTSSf51113n+77vX3rppX5eXp5/zDHH+PPnz/fnzp3rDxs2zB89erTJ0JEjN954oy/Jb8lH6qOPPgrWve+++xr9vba21j/nnHOCdWzb9rt16+bbth0s++pXv+rX1dU1+fw33HBDsJ4kv0uXLn4sFvMl+WeccYb/05/+1Jfkn3DCCQ0ed/755zd4XOfOnf2uXbs2WHbcccf527dvb/Sar7zyit+nT59gPcdx/B49evgFBQUNHn/xxRe36P2sL/3YG2+8MaPHpdtz/vnn73G9+tvjo48+avT38vJy//Of/3ywjmVZfteuXf3OnTsHy04//fRGj3vnnXf8Qw89tMF27N69u19YWNjgPRk7dmxG7fJ93y8tLfUl+fn5+X7v3r393r17+7169fI7derU4Lkl+aNGjfKXLl3a7HM19z61Nh+2bNnil5SUBOv07NnTLy0t9UtLS/0FCxY0akNTn4H67rvvPl+SX1pa2uhv6c/dCSec4F9zzTXB9unWrZvvOE6D97i6urrJ52/t58X3fX/lypV+fn5+sH179+4dtHXt2rUtauu2bdv8E044IXj9WCzmd+vWzbcsK1h29dVXNxl7+nF7+mzUf48ylY77jjvu8AcNGuRL8vPy8vwuXbo0+Dzcc889e32ue++9N3jMkCFDMo5ld5n0C+lcbiqHfN/3582b16BNhYWFDT6nXbt29efPn9/kY9euXev37ds3WDcej/vFxcW+JL+oqMifN29e8Le5c+cGj6vf76T7zO7du/uJRCJYlkgk/EcffbTRa9bW1voXX3xxo8/n7vsJSf7HH3/ckrezWZns277+9a8H615xxRUtet59+eyGud9ZtGiRL8kvKCjwKyoqWvSYpUuXNnjdkSNH7vUxe/oM78uxwJ4+93v6W0v2m3vqk/cmk3xq7rHN9WV33HFHg36za9euDT5PQ4cObXQcn3bSSScF6xUVFQX9+G9+85tG6371q1/1Jfnf+973Mm4D0FqMsLfA0qVL5bquDj30UHXu3Dn4eemll4J7rzzPU21traZPn67Pf/7zOvHEEzVt2jTNnTtXK1asyHEL0J4kEgk9/PDDeuyxx3TKKaeoR48eqqqqUo8ePXTKKafo8ccf11//+tdmL7ObMmWK/vKXv2jkyJEqLCyU67oaNmyY7rrrLj3++OPNzsp9/fXX6/e//70mTpyowYMHKxaLafv27erVq5fGjRunP//5z5o3b54KCwsbPfbYY4/VypUrdfvtt+v4449X165dtW3bNjmOo8MOO0xf//rX9dBDD+m3v/1tNt8qI3r27Kl58+bpwQcf1CmnnKKSkhLt2LFDnTp10ogRI3Tttdfql7/8ZaPHHXbYYVqyZInuvvtufeELX1DPnj1VWVkp3/d18MEH68tf/rLuueeeFp3Rb05NTY02bNigDRs2aMuWLcrLy9OBBx6oCRMm6Prrr9fixYv16quv7vU+0qa0Nh+6deum+fPn69xzz1W/fv1UUVGh1atXa/Xq1aF+Bc6tt96qv//978EVEYlEQsOGDdPvfvc7Pfvss82OTrf28yLtujR37ty5Ou2001RSUqLNmzcHba0/YronXbp00Ysvvqhp06bpxBNPVFFRkbZv364+ffrorLPO0ty5c4ORtFzp1q2b3njjDV177bUaOHCgamtr1b17d33pS1/Sq6++GnwX956cffbZwTcvtJXR9bQTTjhB7777rn7wgx/osMMOk+d58n1fhx12mK6++mq9++67+vznP9/kY/v376/XX39dF198cfAVXJ07d9akSZP073//u9lLZvv166ennnpKV111lUaOHKn99ttP27dvVywW0+GHH67Jkydr2bJlOvvssxs9NpFI6E9/+pNee+01XXDBBTrooIPkum7w+TzxxBN1ww03aMmSJXv9WrBs+vKXvxz8P5Nt3NrPbpj7nWHDhulzn/ucqqurg/kE9mbIkCEN5i268MILM37d+vb1WKCjueqqq/Tmm2/q61//ugYMGKCdO3eqoKBAI0eO1G9+8xv961//ana2/scee0xXXXWVDj30UCWTyaAf3/0y+e3bt+vJJ5+U1Pb6MUSb5fsGZwZqJyzL0owZM4LLZh5++GGdd955evvttxsdvHXu3Fl9+vTRjTfeqF/+8pcNvpeyurpanTp10vPPP8+97ACADusf//iHzj77bBUUFGjdunU5v38d2Ze+raOsrKzBrQVNuemmmzRlyhSdcMIJTc6P0BZMnz5d559/vkaPHq05c+bkOhy0AeQEcoUR9hYYPny4XNfVxo0bdfDBBzf4SX+9yLHHHqtUKtVgttOVK1dKkkpLS3MSNwAAbcEf/vAHSbsmfKJYj57KyspgXotvf/vbOY4mO8477zwdfvjhmjt3bosnn0N0eZ4XTJrZ1FV1QJgo2P9r+/btWrx4cfC9mR999JEWL16sNWvW6NBDD9V5552nSZMm6fHHH9dHH32kN954Q7fcckvw/cZjx47V0UcfrQsvvFCLFi3SW2+9pUsvvVTjxo3ToYcemsOWAQCQO/fcc49eeukl2bat73//+7kOB1lWW1ur7373u6qsrNSAAQNaNNlce+A4TlCg3XTTTbkNBjn36KOP6u2339aXv/xljRw5MtfhoIOJ5TqAtuLNN9/U6NGjg9/TBxXnn3++7r//ft133326+eab9YMf/ECffPKJevbsqZEjR+rUU0+VtOtrV55++ml95zvf0fHHH6/CwkKdcsopwVfeAADQUSxcuFDnnnuuKioqgvtAL7/8ch1xxBG5DQxZ89vf/la//e1vtXHjRlVXV0uS7rjjDiUSiRxHlj0TJkzQb37zG1VUVGj79u3q3LlzrkNCjiSTSd14443BtzQAJlGw/9eJJ56oPd3OH4/HNWXKFE2ZMqXZdfr27dvkd7ECANCR1NTUaPXq1XIcRwceeKDOP/98/fjHP851WMiibdu2afXq1crPz9ewYcN03XXXNTlJXnv3ve99L9choA1If9UikAtMOgcAAAAAQBvEPewAAAAAALRBHf6SeM/ztG7dOhUVFQXfEQsAAAAAQFh831dVVZX69u0r225+HL3DF+zr1q3TgAEDch0GAAAAAKCDWbt2rfr379/s3zt8wV5UVCRp1xtVXFyc42jah2Qyqeeff15f+MIXFI/Hcx0OIoxcgynkGkwh12AKuQZTyLXWSX8dZroebU6HL9jTl8EXFxdTsLdQMplUp06dVFxczIcSoSLXYAq5BlPINZhCrsEUcm3f7O227A4/S3xlZaW6dOmiiooKCvYWSt9vwX3/CBu5BlPINZhCrsEUcg2mkGut09I6lFni0SoFBQW5DgEdBLkGU8g1mEKuwRRyDaaQa+GhYEfGUqmUZs2apVQqletQEHHkGkwh12AKuQZTyDWYQq6Fi4IdAAAAAIA2iIIdAAAAAIA2iIIdAAAAAIA2iFnimSU+Y77vK5VKKRaLMRMkQkWuwRRyDaaQazCFXIMp5FrrMEs8QlVdXZ3rENBBkGswhVyDKeQaTCHXYAq5Fh4KdmQslUpp7ty5zASJ0JFrMIVcgynkGkwh12AKuRYuCnYAAAAAANogCnYAAAAAANogCna0SiwWy3UI6CDINZhCrsEUcg2mkGswhVwLD7PEM0s8AAAAAMAgZolHaDzP08aNG+V5Xq5DQcSRazCFXIMp5BpMIddgCrkWLgp2ZMx1XS1YsECu6+Y6FEQcuQZTyDWYQq7BFHINppBr4aJgBwAAAACgDaJgBwAAAACgDaJgR8Ysy1JRUZEsy8p1KIg4cg2mkGswhVyDKZZlyXVdLV++PNehIOLo18LFLPHMEg8AAICIWbt2rb7xjW+oc+fOeuaZZ3IdDoDdMEs8QuN5nlavXs1MkAgduQZTyDWYQq7BlOrqag0ZMkQ7d+7MdSiIOPq1cFGwI2Ou62rx4sXMBInQkWswhVyDKeQaTPF9X+PGjVMsFst1KIg4+rVwUbADAAAAANAGUbADAAAAANAGUbAjY5ZlqaSkhJkgETpyDaaQazCFXIMplmVp1apV3FeM0NGvhYtZ4pklHgAAABHz/vvv6+KLL5YkzZs3L7fBAGiEWeIRmvR3ejKxBMJGrsEUcg2mkGswxfM8jRw5Uo7j5DoURBz9Wrgo2JExz/O0YsUKLrFC6Mg1mEKuwRRyDSaVlZVRsCN09GvhomAHAAAAAKANomAHAAAAAKANomBHxmzb1sCBA2XbpA/CRa7BFHINppBrMGnp0qXcV4zQ0a+Fi1nimSUeAAAAEcMs8UDbxizxCI3rulq0aBFnbBE6cg2mkGswhVyDKZ7naezYsUw6h9DRr4WLgh0Z8zxPa9asYSZIhI5cgynkGkwh12CK7/saOnQoBTtCR78WLgp2AAAAAADaIAp2AAAAAADaIAp2ZMy2bQ0aNIiZIBE6cg2mkGswhVyDKZZlacGCBdxXjNDRr4UrlusA0P44jqPBgwfnOgx0AOQaTCHXYAq5BlNs29bChQtzHQY6APq1cHEaBBlLpVJ67bXXlEqlch0KIo5cgynkGkwh12CK7/uaOHGiYjHG5xAu+rVwUbAjY77vq7y8XL7v5zoURBy5BlPINZhCrsEU3/e1//77c5kyQke/Fi4+wQAAAAAAtEEU7AAAAAAAtEEU7MiY4zgaNmyYHMfJdSiIOHINppBrMIVcgymWZWn27NncV4zQ0a+Fq10X7H/84x915JFHqri4WMXFxSorK9M///nPXIcVebZtq7S0lHuiEDpyDaaQazCFXIMptm1r2bJl8jwv16Eg4ujXwtWu39X+/fvrV7/6ld566y29+eabGjNmjE4//XS9/fbbuQ4t0lKplObMmcMZW4SOXIMp5BpMIddgiuu6mjRpkuLxeK5DQcTRr4WrXX/Pw5e+9KUGv//iF7/QH//4Ry1cuFBHHHFEjqKKPt/3VVVVxUyQCB25BlPINZhCrsGkHj16yLKsXIeBiKNfC1e7Ltjrc11Xjz76qHbs2KGysrJm16utrVVtbW3we2VlpSQpmUwqmUxK2nVZh+M4cl23wWVE6eWpVKpBQjqOI9u2m12eft609Pdh7n4Wqrnl8XhcnufJdd1gmWVZisVizS5vLvZstCmtfrvae5uiuJ2i0KZ0/MlkMjJtiuJ2ikKb6scblTbVj502tZ02pdWPs723KYrbKQptSq8fj8flum4k2hTF7RSFNtV//ai0qX7sYbWppSc42n3BvnTpUpWVlammpkadO3fWjBkzdPjhhze7/i233KIpU6Y0Wv7888+rU6dOkqSBAwdq+PDhWrJkidasWROsM2jQIA0ePFhvvPGGysvLg+XDhg1TaWmp5s+fr6qqqmB5WVmZevXqpeeff75BEo0ePVoFBQWaNWtWgxjGjx+v6upqzZ07N1gWi8U0YcIEbdq0SQsWLAiWFxUVacyYMVq7dq0WL14cLC8pKdGoUaP03nvvacWKFcHybLapW7dukqTZs2dHpk1R3E5RatPs2bMj1yYpetupvbcpLUptiuJ2au9tOuiggyQ13Ie29zZFcTtFqU2XXHKJ3nvvvUi1SYredmrvbUqLUpvC3k4jRoxo9P41xfLb+bULdXV1WrNmjSoqKvTYY4/p3nvv1UsvvdRs0d7UCPuAAQO0adMmFRcXS4reWa9st0mS1q9frx49egSjBe29TVHcTlFok+u62rx5s3r06KF4PB6JNkVxO0WhTZ7naevWrerVq5c8z4tEm+rHHpXtFIU2WZalDRs2qHv37sE+tL23KYrbKQptev/99/XrX/9aH3/8sWbNmhWJNkVxO0WhTZ7nacuWLerdu7d8349Em+rHHtZ22rlzp7p27aqKioqgDm1Kuy/Ydzd27FgddNBBuvvuu1u0fmVlpbp06bLXNwoAAABoLz744ANddNFFkqR58+blNhgAjbS0Dm3Xs8Q3xfO8BiPoyL5kMqmZM2c2OksEZBu5BlPINZhCrsEU13V1+eWXK5FI5DoURBz9Wrja9T3s1113nU455RQNHDhQVVVV+utf/6p58+bpueeey3Vokbf7ZSdAWMg1mEKuwRRyDabk5eXlOgR0EPRr4WnXBfvGjRs1adIkffrpp+rSpYuOPPJIPffccxo3blyuQwMAAAAAYJ+064J92rRpuQ4BAAAAAIBQRO4edoQvFotp9OjRwayMQFjINZhCrsEUcg2m2Lat6dOnc18xQke/Fi4KdrRKQUFBrkNAB0GuwRRyDaaQazDB931VVVUpYl8IhTaKfi08FOzIWCqV0qxZs5hcAqEj12AKuQZTyDWY4nmeJk+ezCzxCB39Wrgo2AEAAAAAaIMo2AEAAAAAaIMo2AEAAAAAaIMsv4PPRFFZWakuXbqooqJCxcXFuQ6nXfB9X6lUSrFYTJZl5TocRBi5BlPINZhCrsGU9957T5MnT1ZdXZ3mzZuX63AQYfRrrdPSOpQRdrRKdXV1rkNAB0GuwRRyDaaQazClqKiIAgpG0K+Fh4IdGUulUpo7dy4zQSJ05BpMIddgCrkGUzzP06RJkxSPx3MdCiKOfi1cFOwAAAAAALRBFOwAAABAxHApPBANFOxolVgslusQ0EGQazCFXIMp5BpMqa2tzXUI6CDo18LDLPHMEg8AAICIef/993XxxRdLErPEA20Qs8QjNJ7naePGjfI8L9ehIOLINZhCrsEUcg2m+L6v0tJSLo1H6OjXwkXBjoy5rqsFCxbIdd1ch4KII9dgCrkGU8g1mOJ5ns4880xmiUfo6NfCRcEOAAAAAEAbRMEOAAAAAEAbRMGOjFmWpaKiIu6JQujINZhCrsEUcg0mbd68WR18fmkYQL8WLmaJZ5Z4AAAARAyzxANtG7PEIzSe52n16tXMBInQkWswhVyDKZ7n6cknn9R7772X61AQcZ7naciQIbJtDvcRLvah4eITjIy5rqvFixczEyRCR67BFHINpnz88ceSpJtuuim3gSDyfN/XuHHjFIvFch0KIo59aLgo2AEAAAyprq6WJJWXl+c4EkQd9xMD0UDBDgAAAABAG0TBjoxZlqWSkhLO3CJ05BpMIddgimVZWrVqFfd6InTkGkxhHxoubmpBxmKxmEaNGpXrMNABkGswhVyDKbZta8aMGbkOAx0AuQZT2IeGixF2ZMx1XS1fvpyJJRA6cg2mkGswxfM8jRw5Uo7j5DoURBy5BlPYh4aLgh0Z8zxPK1as4BIrhI5cgynkGkzxfV9lZWUUUQgduQZT2IeGi4IdAAAAAIA2iIIdAAAAAIA2iIIdGbNtWwMHDpRtkz4IF7kGU8g1mGJZlpYuXcq9nggduQZT2IeGi1nikTHHcTR8+PBch4EOgFyDKeQaTHEcRy+88EKuw0AHYNs2uQYj2IeGi9MgyJjrulq0aBFnbBE6cg2mkGswxfM8jR07lonAEDpyDaawDw0XBTsy5nme1qxZw0yQCB25BlPINZji+76GDh1KEYXQkWswhX1ouCjYAQAAAABogyjYAQAAAABogyjYkTHbtjVo0CBmgkToyDWYQq7BpAULFnCvJ0JnWRa5BiPYh4aLWeKRMcdxNHjw4FyHgQ6AXIMp5BpMsW1bCxcuzHUY6ADINZjCPjRcnAZBxlKplF577TWlUqlch4KII9dgCrkGUzzP08SJExWLMWaCcJFrMIV9aLgo2JEx3/dVXl4u3/dzHQoijlyDKeQaTPF9X/vvvz+XjiJ05BpMYR8aLj7BAAAAhliWlesQAADtCAU7AAAAAABtEAU7MuY4joYNGybHcXIdCiKOXIMp5BpMsSxLs2fP5l5PhI5cgynsQ8PFLBTImG3bKi0tzXUY6ADINZhCrsEU27a1bNmyXIeBDoBcgynsQ8PFCDsylkqlNGfOHM7YInTkGkwh12CK67qaNGmS4vF4rkNBxJFrMIV9aLgo2JEx3/dVVVXFTJAIHbkGU8g1mNSjRw8mn4MR5BpMYB8aLgp2AAAAAADaIAp2AAAAIGIY7QSigYIdGXMcR2VlZcwEidCRazCFXIMptm3r8ccfVzKZzHUoiDhyDaawDw0Xs8QjY7Ztq1evXrkOAx0AuQZTyDWYYlmWVq9enesw0AGQazCFfWi4GGFHxpLJpGbOnMkZW4SOXIMp5BpMcV1Xl19+uRKJRK5DQcSRazCFfWi4KNjRKnxtA0wh12AKuQZT8vLych0COghyDaawDw0PBTsAAIAhTAQGAMgEBTsAAAAAAG0QBTsyFovFNHr0aMVizFmIcJFrMIVcgym2bWv69Onc64nQkWswhX1ouCjY0SoFBQW5DgEdBLkGU8g1mFJVVcWl8QidZVnkGoxhHxoeCnZkLJVKadasWUwugdCRazCFXIMpnudp8uTJzNyN0JFrMIV9aLgo2AEAAAAAaIMo2AEAAICI4VJ4IBoo2AEAAAyxLCvXIQAA2hEKdmQsFotp/PjxzASJ0JFrMIVcgym2bWvq1Kmqq6vLdSiIOHINprAPDRcFO1qluro61yGggyDXYAq5BlOKiooYaYcR5BpMYR8aHgp2ZCyVSmnu3LnMBInQkWswhVyDKZ7nadKkSYrH47kOBRFHrsEU9qHhomAHAAAAAKANomAHAAAwhJm7AQCZoGBHqzCpBEwh12AKuQZTamtrcx0COgDf98k1GMM+NDyW38FP9VZWVqpLly6qqKhQcXFxrsMBAAAR9v777+viiy+WJM2bNy+3wSDS3nvvPX3rW9+SRK4BbVFL61BG2JExz/O0ceNGeZ6X61AQceQaTCHXYIrv+yotLWXmboSOXIMp7EPDRcGOjLmuqwULFsh13VyHgogj12AKuQZTfN/XmWeeyczdCJ3neeQajGAfGi4KdgAAAAAA2iAKdgAAAEM6+NRBAIAMUbAjY5ZlqaioiHuiEDpyDaaQazBp8+bNFO4InWVZ5BqMYB8aLubfR8ZisZjGjBmT6zDQAZBrMIVcgymO42j69Om5DgMdgG3b5BqMYB8aLkbYkTHP87R69WpmgkToyDWYQq7BFM/zNGTIENk2h2AIl+/75BqMYB8aLj7ByJjrulq8eDEzQSJ05BpMIddgiu/7GjdunGIxLnJEuDzPI9dgBPvQcFGwAwAAABHD/cRANFCwAwAAAADQBlGwI2OWZamkpIQztwgduQZTyDWYYlmWVq1axb2eCB25BlPYh4aLm1qQsVgsplGjRuU6DHQA5BpMIddgim3bmjFjRq7DQAdArsEU9qHhYoQdGXNdV8uXL2diCYSOXIMp5BpM8TxPI0eOlOM4uQ4FEUeuwRT2oeGiYEfGPM/TihUruMQKoSPXYAq5BlN831dZWRlFFEJHrsGU9D6Ugj0cFOwAAAAAgFapqKiQJP2///f/chxJNFGwAwAAAABaZdOmTZKkZ599NseRRBMFOzJm27YGDhwo2yZ9EC5yDaaQazDFsiwtXbqUS0cROnINppBr4WKWeGTMcRwNHz4812GgAyDXYAq5BlNs29YLL7yQ6zDQAZBrMMWyLHItRAwlIGOu62rRokWcRUPoyDWYQq7BFM/zNHbsWCYCQ+jINZjiui65FiIKdmTM8zytWbOG2ZQROnINppBrMMX3fQ0dOpQDW4SOXIMpnueRayGiYAcAADDEsqxchwAAaEco2AEAAICI4eQQTPF9P9chRBoFOzJm27YGDRrEbMoIHbkGU8g1mGJZlhYsWMB8CQgduQaTyLXwMEs8MuY4jgYPHpzrMNABkGswhVyDKbZta+HChbkOAx0AuQZTyLVwMZSAjKVSKb322mtKpVK5DgURR67BFHINpniep4kTJyoWY8wE4SLXYIrruuRaiCjYkTHf91VeXs79KggduQZTyDWY4vu+9t9/f26/QOjINZhCroWrXb+rt9xyiz772c+qqKhIvXr10hlnnKEVK1bkOiwAAAAA6BA42R2udl2wv/TSS5o8ebIWLlyo2bNnK5lM6gtf+IJ27NiR69AAAAAAIPIo2MPVrm80ePbZZxv8fv/996tXr1566623dPzxx+coquhzHEfDhg2T4zi5DgURR67BFHINpliWpdmzZzNfAkJHrsEkci087bpg311FRYUkqXv37s2uU1tbq9ra2uD3yspKSVIymVQymZS0a6ZDx3Hkuq48zwvWTS9PpVINziQ5jiPbtptdnn7etPSEDLsndXPL4/G4PM9r8FUJlmUpFos1u7y52LPVpr59+8p13eC1o9CmKG6nKLQpnWvpx0ShTbsvp01to00DBgyIXJuiuJ3ae5ts29by5csVi8WCWNt7m6K4naLQJt/3tXLlymC9KLQpitspCm3yPE/vvvtusG4U2lQ/9rDa1NIrEyJTsHuep+9973s69thjNWTIkGbXu+WWWzRlypRGy59//nl16tRJkjRw4EANHz5cS5Ys0Zo1a4J1Bg0apMGDB+uNN95QeXl5sHzYsGEqLS3V/PnzVVVVFSwvKytTr1699PzzzzdIotGjR6ugoECzZs1qEMP48eNVXV2tuXPnBstisZgmTJigTZs2acGCBcHyoqIijRkzRmvXrtXixYuD5SUlJRo1apTee++9BvfzZ7NN3bt3bxR7e29TFLcTbaJNtCmzNuXl5Wns2LGRalMUt1N7b5Nt27r00kuVSCSCmNp7m6K4naLSpsmTJ0uS3nvvvci0KS1K2ykKbbrkkkt07733RqpNYW+nESNGqCUsPyI3HXz729/WP//5T73yyivq379/s+s1NcI+YMAAbdq0ScXFxZKid9Yr221yXVezZs3SuHHjFI/HI9GmKG6nKLSprq5Os2fP1rhx45Sfnx+JNkVxO0WhTclkUrNnz9b48eNlWVYk2lQ/9qhspyi06f3339fy5ct1zz336IknnohEm6K4naLQppUrV2rlypW655579NRTT0WiTVHcTlFo06JFi/Tpp59q6tSp+uc//xmJNtWPPazttHPnTnXt2lUVFRVBHdqUSIywX3HFFXrmmWc0f/78PRbr0q4RlLy8vEbL4/F4UHymOY4jx2l8P2M6MVq6fPfnbc3y9GV0LV3eXOzZaFM6wZt6z9prm5qLMdPltCm7bUp3dvF4PHit9t6mlsaY6XLaRJsk2tRcjJkuD7tN0q6TRLu/dntuUxS3U1TalEwmg/9HpU310abct8myrCaXtyT2ttqmlizf1zbVf9/2pF0X7L7v6zvf+Y5mzJihefPm6YADDsh1SAAAAADQYUTkgu02q10X7JMnT9Zf//pXPfnkkyoqKtL69eslSV26dFFBQUGOo4sux3FUVlbW7KgBkC3kGkwh12CKbdt6/PHHG10aCWQbuQaTyLXwtOvvYf/jH/+oiooKnXjiidpvv/2Cn4cffjjXoUWabdvq1atXk5eSANlErsEUcg2m2Lat1atXMyKF0FmWRa7BGHItPO36yMT3/SZ/LrjgglyHFmnJZFIzZ87kLBpCR67BFHINpriuq8svv1yJRCLXoSDiyDWYQq6Fq10X7Mid3WdiBMJCrsEUcg0m+L7f5OS3QBjINZjgeR65FiIKdgAAACBiuDwZppBr4aJgBwAAAAC0CgV7uCjYkbFYLKbRo0c3+x2DQLaQazCFXIMptm1r+vTpzJeA0JFrMMX3fXItRBTsaBW+Ng+mkGswhVyDKVVVVYxIwQhyDaaQa+GhYEfGUqmUZs2axQRNCB25BlPINZji+74mT57MbMoIned55BqMINfCRcEOAAAAAGgVRtbDRcEOAAAAAGgVz/NyHUKkUbADAAAAAFqFEfZwUbAjY7FYTOPHj2c2ZYSOXIMp5BpMsW1bU6dOVV1dXa5DQcSRazDF931yLUQU7GiV6urqXIeADoJcgynkGkzwfV9FRUWyLCvXoSDiLMsi12CE53nkWogo2JGxVCqluXPnMpsyQkeuwRRyDaZ4nqdJkyYpHo/nOhREHLkGU3zfJ9dCRMEOAAAARAz3FcMUci1cFOwAAAAAgFahYA8XBTtahYmZYAq5BlPINZhSW1ub6xDQQZBrMMHzPHItRBydIGPxeFwTJkzIdRjoAMg1mEKuwRTHcXTnnXfmOgx0AOQaTCLXwsMIOzLmeZ42btwoz/NyHQoijlyDKeQaTPF9X6WlpcymjNCRazDFdV1yLUQU7MiY67pasGCBXNfNdSiIOHINppBrMMXzPJ155pnMpozQkWswiVwLDwU7AACAIUzOBCBquDotXBTsAAAAAIBW4URkuJh0DhmzLEtFRUXcp4LQkWswhVyDKZZlafPmzRzgwghyDSZ4nqdt27aRayGhYEfGYrGYxowZk+sw0AGQazCFXIMptm1r+vTpuQ4DHYDjOOQajPB9n1wLEZfEI2Oe52n16tXcr4LQkWswhVyDKb7va8iQIbJtDsEQLs/zyDUYUT/XGGXPPj7ByJjrulq8eDGzKSN05BpMIddgiu/7GjdunGIxLnJEuMg1mOJ5XpBrnPjOPgp2AAAAAECr1C/SGWHPPgp2AAAAAECr1C/SGWHPPgp2ZMyyLJWUlDCbMkJHrsEUcg2mWJalVatWcVCL0JFrMMXzvCDXyLfs46YWZCwWi2nUqFG5DgMdALkGU8g1mGLbtmbMmJHrMNABkGswxff9INe4JD77GGFHxlzX1fLly5mcCaEj12AKuQZTPM/TyJEj5ThOrkNBxJFrMMX3/SDXKNizj4IdGfM8TytWrOCSF4SOXIMp5BpM8TxPZWVlFFEIne/75BqMqJ9rFOzZR8EOAABgCCeFYAqFE0yp36/Rx2UfBTsAAIAhHMwCiBpmiQ8XBTsyZtu2Bg4cKNsmfRAucg2mkGswxfd9LV26lPkSEDrLssg1GOG6bpBrXNmRfcwSj4w5jqPhw4fnOgx0AOQaTCHXYIplWXrhhRdyHQY6ANu2yTUY4ft+kGucIMo+hhKQMdd1tWjRIj6QCB25BlPINZiSSqU0duxYJgJD6HzfJ9dghOd55FqIKNiRMc/ztGbNGu5RQejINZhCrsEUz/M0dOhQDmwROnINJqVzjf1o9lGwo9U++OCDXIcAAEC7wv2dAKKGWeLDRcGOjK1bt06SNGXKlBxHAgBA+8LBLEzh5BBMqZ9r5F32UbAjY7W1tVqwYIE2btyY61AQcbZta9CgQczcjdCRazBpwYIFzJcAI8g1mOC6bpBrFOzZxyzxyJjjOFq4cGGuw0AH4DiOBg8enOsw0AGQazDF9332oTDCsixyDUbU79c4QZR9DCUgY67rauLEiYrFON+DcKVSKb322mtKpVK5DgURR67BFPahMMXzPHINRvi+T66FiIIdGfN9X/vvvz+XjiJ0vu+rvLycy6sQOnINpniexz4URnC8BpPSucY8HdnHJxgAAMAQTgrBFHINpjBLfLgo2JExy7JyHQIAAO0SB7MAooZZ4sNFwY6MWZal2bNnc68nQuc4joYNGybHcXIdCiKOXINJ7ENhAsdrMCWVSgW5RsGefcwMgIzZtq1ly5blOgx0ALZtq7S0NNdhoAMg12CK7/vsQ2EMuQYT6vdrzBKffYywI2Ou62rSpEmKx+O5DgURl0qlNGfOHEYHEDpyDaZ4nsc+FEaQazDFsixyLUQU7GiVHj16cC87Quf7vqqqqri8CqEj12CK53nsQ2EMuQYTfN8Pco15OrKPgh0A0OHV1dVJkp5++ukcR4Ko46QQgKipX6TTx2UfBTsAoMP7+OOPJUl33XVXjiNB1HEwC1PINZjCLPHhomBHxmzb1uOPP65kMpnrUBBxjuOorKyMmbsROvo1mOJ5HrkGY8g1mOC6bpBrXBKffcwSj4xZlqXVq1fnOgx0ALZtq1evXrkOAx0A/RpMIddgCrkGUzzPC3KNEfbsy8oI+/r163XnnXfqyiuv1MUXXxwsLy8v1xtvvKHq6upsvAzaCNd1dfnllyuRSOQ6FERcMpnUzJkzGR1A6OjXYAq5BlPINZhi23aQaxTs2bfPI+x33nmnfvCDH6i2tlbSrrN59957ryRp48aNKisr01133aVvfetb+/pSaEPy8vJyHQI6CL5mC6bQr8EE3/fJNRhDrsEEz/OCXKNgz759GmF/+umndcUVV2jo0KF66qmn9O1vf7vB34844ggdeeSReuKJJ/blZQAAACKB+zsBRA2TzoVrn0bYb7vtNg0cOFBz585VYWGh3nrrrUbrDB06VC+//PK+vAwAAEAkcDALU8g15AJ5l337NMK+ePFiTZgwQYWFhc2u069fP23YsGFfXgZtjG3bmj59OvcVI3SxWEyjR49WLMb8mAgX/RpM8X2fXIMx5BpMSCaTQa5RsGffPhXsnucpHo/vcZ2NGzdy/0wEVVVV8YGEEQUFBbkOAR0E/RpM8H2fXIMR5BpMSucat/1k3z4V7IMGDdrj5e6pVErz58/X0KFD9+Vl0MZ4nqfJkycz6yhCl0qlNGvWLCaeQ+jo12CK7/vkGowg12CKZVlBrnGCKPv2qWA/77zztGjRIk2ZMqXR31zX1dVXX60PP/xQkyZN2peXAQAAiARGn2AKhRNMIdfCtU83hn7nO9/R008/rZ/97Gd66KGHlJ+fL0k655xz9Oabb2rVqlX6whe+oIsuuigrwQIAALRnHNjCFHINucBJyezbpxH2eDyu5557Ttdee602b96sZcuWyfd9PfbYY9qyZYt+9KMf6amnnpJlWdmKFwAAoN3iYBamULDDlPr9GnmXffs89XIikdAvfvEL3XzzzVqxYoW2bNmi4uJiHXbYYXIcJxsxoo2xbVtTp05VXV1drkNBxMViMY0fP55Z4hE6x3Ho12CE53lBrvm+z6AGQmNZFv0ajEilUuRaiLJ2FGxZlgYPHpytp0MbV1RUpC1btuQ6DHQA1dXVKioqynUY6ADo12CC7/tBrlGwI0z1cw0IW/1+Ddm1T5fEv/POO/r973+v8vLyJv++ceNG/f73v9e77767Ly+DNsbzPE2aNGmvX+kH7KtUKqW5c+cySzxCR78GU+rnGpfHI0z0azDFtu0g1yjYs2+fCvZf/epXuvXWW9WjR48m/96jRw/ddttt+vWvf70vLwMAABAJ9Q9mKdgRJgonmFI/18i77Nungv3ll1/WSSedJNtu+mkcx9FJJ52k+fPn78vLAAAARAKTMwGIGvqycO1Twb5+/XoNGDBgj+v069dPn3766b68DNqg2traXIeADoIJ52AK/RpM8H2fXIMR5BpMSucaxXv27dORcGFhoTZu3LjHdTZu3Bh8PzuiwXEc3XnnnbkOAx1APB7XhAkTch0GOgD6NZji+36Qa1wSj7DRr8EE13XJtRDt0wj70UcfrSeeeELbtm1r8u9bt27VjBkzdPTRR+/Ly6CN8X1fpaWlzGyL0Hmep40bN3JQi9B5nke/BiPq5xp9G8LE8RpMSucaI+zZt08F++TJk7V582aNHj260X3qL730kkaPHq2tW7fqiiuu2Kcg0bZ4nqczzzyTWUcROtd1tWDBArmum+tQEHH0azApnWsc2CJM9GswxbIs+rUQ7dMl8aeffrquuuoq/eY3v9Ho0aOVl5enPn36aP369aqtrZXv+/rhD3+oM844I0vhAgAAtF/MpgxTyC+YQq6Fa59G2CXp//7v//TUU0/p5JNPVmFhoT7++GN17txZp5xyimbOnKlbb701G3ECAAC0exzYAgAykZXpl0899VSdeuqp2XgqtAO+72vz5s0cdCB0lmWpqKiI++8QOsuy6NdgRP19KPmGsNGvwRT6tfDwfUnImOM4mj59eq7DQAcQi8U0ZsyYXIeBDoB+DSaRazCFXIMJruuSayHa50vi0fF4nqchQ4bItkkfhMvzPK1evZqZlBE6+jWYlM41RqIQJvo1mJK+EpJcC0dG76pt24rFYlq5cmXwu+M4e/2JxRjIjxLf9zVu3Di2K0Lnuq4WL17MLPEIHf0aTLEsK8g1bvdB2OjXYIJlWbIsS7FYjBORIcjoE3z88cfLsix16tSpwe8AAAAA2g4KJ5j0ve99T1OnTs11GJGUUcE+b968Pf4OAEB7xIEtAABoi/bpRoP58+dr8eLFWQoF7YVt21q1ahX3FSN0lmWppKSEK3kQOsuy6NdgTDrX6NsQNvo1mJLONU6AZ98+FeyjR4/WPffck61Y0E7Ytq0ZM2YolUrlOhREXCwW06hRo7j/DqGjX4MplmUFuUbBjrDRr8EE13XJtRDtU8Heq1cv5efnZysWtBOe52nkyJFyHCfXoSDiXNfV8uXLmXQOofN9n34NRliWFeQaBTvCRL8GU+r3a8i+fSrYx40bp3nz5nHpQwfj+77Kysr4UCJ0nudpxYoVXM6H0NGvwRTLsoJco2BHmOjXYIpt2+RaiPapYP/Vr36lzZs365JLLtGWLVuyFRPaOE7QAADQOvW/p5jvLAYA7M0+3Rj69a9/XV27dtWf//xnPfjggzrggAPUu3fvRmeMLcvSiy++uE+BAgAAtHf1j5EYYQcA7M0+Fez1v9attrZWy5cv1/Llyxutxw4pWizL0tKlS7mvGKGzbVsDBw5kFAqho1+DKbZtB7lG34aw0a/BBN/3ybUQ7VPBzn2lHZNt23rhhRdyHQY6AMdxNHz48FyHgQ6Afg2m1M81BjQQJsuy6NdghOd55FqIWnVqd8GCBRozZoyKiorUpUsXjRs3Tm+88Ua2Y0Mb5Xmexo4dy8QSCJ3rulq0aBFnbBE6+jWYYllWkGuMsCNMvu/Tr8EI27bJtRBlvKdYunSpTjrpJM2bN087duxQVVWVXnzxRY0ePVpvv/12GDGijfF9X0OHDuVDidB5nqc1a9ZwNQ9C53ke/RqMsG07yDUKdoSNfg0mWJZFroUo4z3Fr371K9XU1OgnP/mJ1q9fr/Xr1+v6669XdXW1br311jBiRBvDJXwAALQORTqAKKNOyL6M72F/+eWXddxxx+nnP/95sGzKlCmaN2+eXnrppawGBwAAECUU7DCFwgmIhoz3Ghs2bNDIkSMbLT/mmGO0YcOGrASFts2yLC1YsID7ihE627Y1aNAgDnAROvo1mGLbNrkGY8g1mOB5HrkWooyPgpPJpDp37txoeWFhoZLJZFaCysT8+fP1pS99SX379pVlWXriiSeMx9DR2LathQsX8qFE6BzH0eDBg7knCqGjX4Mp5BpMsSyLXIMx6Vzjyo7sa/fDVjt27NBRRx2lqVOn5jqUDsN1XU2cOFGx2D59KyCwV6lUSq+99ppSqVSuQ0HEeZ5HvwYjLMsi12CE7/vkGoywbZtcC1Gr3tUHH3xQCxcubLDs/ffflySNHz++0fqWZWnmzJmteam9OuWUU3TKKaeE8txomud52n///blMGaHzfV/l5eXyfT/XoSDifN+nX4MRjuOQazCGXIMJlmUFucYIe/a1qmB///33gwJ9d88++2yjZW1pw9XW1qq2tjb4vbKyUtKuS/3Tl/Tbti3HceS6boOvk0ovT6VSDQqI9FezNLd891sF0mefdh81bG55PB6X53kNLmmyLEuxWKzZ5c3Fno021Y8r3bb23qYobqcotCkdfzKZjEyboridotCm+s8XlTbVj502tZ02pY+J6u9D23uboridotCmdIzxeFyu60aiTVHcTlFoU/2Rdd/3G8TTXttUP/awtlNLB6QyLtg/+uijTB/Sptxyyy2aMmVKo+XPP/+8OnXqJEkaOHCghg8friVLlmjNmjXBOoMGDdLgwYP1xhtvqLy8PFg+bNgwlZaWav78+aqqqgqWl5WVqVevXnr++ecbJNHo0aNVUFCgWbNmNYhh/Pjxqq6u1ty5c4NlsVhMEyZM0KZNm7RgwYJgeVFRkcaMGaO1a9dq8eLFwfKSkhKNGjVK7733nlasWBEsz2ab0gcbl1xySdCG9t6mKG6nKLVp9uzZkWuTFL3t1N7blBalNkVxO7X3NqVHO+vvQ9t7m6K4naLQpu3bt0valWvvvfdeJNoUxe0UhTYdf/zxwd937tzZ4HXba5uk8LfTiBEj1BKWH6FrTS3L0owZM3TGGWc0u05TI+wDBgzQpk2bVFxcLCl6Z72y3ab3339fU6dO1YoVK/T0009Hok1R3E5RaJPruvrkk0/Ur18/xePxSLQpitspCm16//33deedd+rtt9/W888/H4k21Y89KtspCm2aO3eunnrqKa1cuTLYh7b3NkVxO0WhTfPmzdNTTz2lFStWaObMmZFoUxS3UxTa9KMf/UipVErLli3TlClTGnyjWHttU/3Yw9pOO3fuVNeuXVVRURHUoU3pcDMD5OXlKS8vr9HyeDyueDzeYJnjOHKcxrNT17/soyXLd3/e1iy3bTs4K9+S5c3Fno022bat//znP03G2l7b1FyMmS6nTdltUywW04EHHtjq2JtbznaiTVLD2OPxuJYuXdpoeWtjb24524k2WZalJUuWNPna7bVNUvS2k9T+21T/eC29TntvUxS3UxTa5Lpu0K/Ztt3k87e3NrVk+b62qaW3jTMLBTLmeZ4mTZrU7AcGyJZUKqU5c+Y0OmsKZJvruvRrMMKyLHINRvi+T67BCMdxyLUQtfsR9u3btzeYAO+jjz7S4sWL1b17dw0cODCHkUVbjx492tRkgogm3/dVVVXFLPEwgn4NJliWRa7BGHINpqRzjXzLvnZfsL/55psaPXp08Pv3v/99SdL555+v+++/P0dRRRvFEwAArdPUZZhAGDhegykU6eFq9wX7iSeeSIcEAADaBQ5sYQrHx0A0cJoXGbNtW48//nijmQ6BbHMcR2VlZU1O9AFkk+M49GswhlyDKeQaTPB9P8g1TkpmX7sfYYd5tm1r9erVuQ4DHYBt2+rVq1euw0AHYFkW/RqMYB8KU+jXYFI61yjYs48RdmTMdV1dfvnlSiQSuQ4FEZdMJjVz5kxGBxC6VCpFvwYjfN8n12CE53nkGoxwHCfINQr27KNgR6s09V32QBj4SjeYQr8GU8g1mOD7PrkGIyzLItdCRMEOAAAARAyTzsGU+qPqjLBnHwU7MsYOAAAAAIBEwR42CnZkzLZtTZ8+nfuKEbpYLKbRo0crFmN+TITLcRz6NRhDrsEEz/PINRjhum6QaxTs2UfBjlapqqpipB1GFBQU5DoEdBD0azDB931yDUaQazCJXAsPBTsy5nmeJk+ezKyjCF0qldKsWbOYeA6ho1+DKb7vk2swgn4NpsRiMXItRBTsAAAAhniel+sQ0EEw2glTuIc9XBTsAAAAhlCwwxRyDaZQsIeLgh0AAMAQ13VzHQI6CHINuUDBnn1MvYyM2batqVOnqq6uLtehIOJisZjGjx/PLPEInWVZ9GswwvM8cg1GeJ6nu+66i1xD6OjXwsUIO1qlqKiIM2gworq6OtchoIOgX4MJqVSKXIMRrusGucb97AiTZVlBrtG3ZR8FOzLmeZ4mTZqkeDye61AQcalUSnPnzmWWeITO9336NRjhui65BiNSqVSQa1wejzA5jhPkGgV79lGwAwAAGELhBFPq5xp5B1Mo2LOPgh0AAMCQZDIZ/J/LlBGm+kU6V6ohTBTp4aJgR8Ysy1JtbW2uw0AHwYRzMIV+DSYkk8kg1+oX70C2ua4b5BoFO8Jk23aQa7ZNeZltHAkjY47j6M4778x1GOgA4vG4JkyYkOsw0AHQr8GUZDKpe++9N/h/IpHIcUSIqrq6uqBfo2BHmDzPC3KN0fbs4xQIMub7vkpLS/lAInSe52njxo3yPC/XoSDi6NdgSl1dXZBrjLAjTKlUilyDEZZlsQ8NEQU7MuZ5ns4880xmuEXoXNfVggULmCwHoaNfgynJZDLINW7DQJhSqVSQa4ywI0yO4wS5RtGefRTsyBiT5AAA0Dp1dXXB/ynYEab6J7vr5x2QbfWLdAr27KNgBwAAMKR+kU7BjjDVvwyeS+JhCgV79lGwo1U2b97MSDtCZ1mWioqK6PxhBP0aTKitrQ1yjYIdYUomk0GuUbAjTJZlsQ8NEbPEI2OO42j69Om5DgMdQCwW05gxY3IdBjoA27bp12DEzp07g1yrqanJcTSIspqamiDXKNgRJt/3g1xjkCX7GGFHxjzP05AhQ/ieRYTO8zytXr2aWeIROvo1mFJbWxvkGgU7wpRKpYJc4x52hMm27SDXKNizjyMTZMz3fY0bN06xGBdoIFyu62rx4sXMEo/Q0a/BlGQyGeQaBTvClEqlglxjhB1hsixLa9asUSwWo2APAUcmAIAOj/vuYMrKlSv18ccfS9p1eTwQlvpFOiPsCBNFergYYQcAADCk/skhRtgRJmaJhymWZemiiy4K/o/somBHxizL0qpVq7ivGKGzLEslJSV0/gidbdv0azCisLBQJ510kjzPU3V1da7DQYTV1tYG/Roj7AhbOtc4Zss+LolHxmzb1owZM3IdBjqAWCymUaNG5ToMdAD0azDB931Vbd+ux598RpaXomBHqKqrq4N+jRF2hMn3/SDXKNizjxF2ZMzzPI0cOVKO4+Q6FESc67pavnw5k84hdK7r0q8hdLW1tbItSyNHjZLjONqxY0euQ0KEpVKpoF+rra3NdTiIMNu22YeGiIIdGfN9X2VlZXwoETrP87RixQouU0bo6Ndgwo4dO+Q4jkZ99mg5jsMIO0Llum7QrzHCjjDZth3kGiPs2UfBDgAAYMDuBTqzxCNMFRUVmjZtmiRmiUe46hfpFOzZR8EOAOjwOMCACbsX6BTsCIvv+w2+kYCCHaawP80+CnZkzLIsLV26lPuKETrbtjVw4EDZNl0VwkW/BhN27twp13X1nw8/lSubgh2hSaVSchxHnys7Vq7rckk8Qsc+NDzMEo+MWZalF154IddhoANwHEfDhw/PdRjoAGzbpl9D6NIF+6x/f6g83+YedoQmmUzKdV09N3+hHAp2GJDehzLCnn0MWyFjnudp7NixTM6E0Lmuq0WLFnHGFqGjX4MJ1dXVchxHp3zmENmJfO1ghB0hqaurk+M4+sKJx8lxHC6JR6hs2w72oRTs2UfBjlYZOnQoB7YIned5WrNmDbPEI3Se59GvIXTpgn3Y/r1kxxKqYYQdIUkmk3IcR0cOPphZ4mFEeh9KwZ59FOzIWP1JTAAgCujXYEL9S+B9J6bqmhpyD6FIpVJ7/B3IJor0cFGwAwA6PG67gAkN7lm3Y/I9j0uVEYrdR9QZYUeYKNjDRcGOjNm2rQULFnCAi9DZtq1BgwYxSzxC5/s+/RpCV1tbK9d1Nf/9zUr5u/o1Jp5DGFKplFzX1StL3pfruoywI3TpfSjFe/YxSzwyZtu2Fi5cmOsw0AE4jqPBgwfnOgx0AL7v068hdDU1NbsK9g8rlbAc2dpVxAPZli7YX337IyVcjxF2hC69D6Vgzz6GrZAxz/M0ceJExWKc70G4UqmUXnvtNUYGEDr6NZhQU1OjWCymr47oo1g8L1gGZFsqlVIsFtOXTzxasXicq4cQKsuygn0oBXv2cWSCjPm+r/3335/LlBE63/dVXl7OpEwwgn4NYaurq5Nt2zqoR4Es2wmWAdnmuq5s29aB+/WQ7TgU7AiVZVkqLS1lHxoS3lUAQIfHSSGYUP/yd5+CHSFqUKBbNgU7QsWoergo2AEAHZ7nebkOAR1Ag+Kcgh0hql+g+7Io2BGq+gU7xXv2UbAjY5Zlafbs2dxXjNA5jqNhw4bJcZxch4KIq66upl9D6NKzdT+9codS/z1HRM4hDL7vK5VKadabK5VyPa4iQqh83w/2oRTs2cc97MiYZVlatmxZrsNAB2DbtkpLS3MdBjqArVu3Bv2a7/sccCAUqVRKnudp0Yak4rIUFwU7wuF5njzP038+2qg83+cqIoSO2iA8jLAjY57nadKkSYrH47kOBRGXSqU0Z84cDmgRuo8//jjo1zZt2pTrcBBRqVRK8USeLju6SPH/fiMB/RvC4Hme4vG4Lv7CcMXjcQp2hMq27WAfygnv7KNgR8Z831ePHj34QCJ0vu+rqqqKS/kQunfeeSfo195+++1ch4OISl+90avQCfah9G8Ii2VZKulSKEscryF81AbhoWBHxvgwAoiS7du367333gt+//e//53DaBBlvu9L6X0oBTtCtHtekWcIE5POhYuCHRmj0wcQJYsWLQouF/WdhP71r3/lOCJEVVP7T/apCB31E0JGwR4uJp1DxhzH0eOPP65kMpnrUBBxjuOorKyMWeIRqhUrViiZTOpvb6xVTX53ffrpGlVWVqq4uDjXoSFiLMtSXU21fnfXvbKSdcEyIAx1dXX6/dS7lGJ8DiHzfZ/aIER8gpExz/O0evVqRgUQOtu21atXL9k2XRXCs2bNGvm+r/d3JJTK6xosA7It3ZelPF/pXSj9G8KQzquk60m+T54hdOnagJOQ2cenFxlLpVK6/PLLlUgkch0KIi6ZTGrmzJmcsUWoamtrlUgkdM3neymRlx8sA7LNtm0lEnm64pKLpYEjJIkriBCaRCKhK759iRLxGEUUQmXbNrVBiCjYkTHHcZSXl5frMNBB8JVHCFv6QDYvxgEtwhWLxST5u3LN3zVvAgU7wpAeUc+Lc/crzKA2CA8FOzLGWVoAURKPx//3i5dqvAzIkvp5Zfluo2VAtjQ4VvM9TgwhVEw6Fy4KdgBAh7Zt2zbJ2rU79GO7LomvqKjIYUSIqgbF+X9H2CnYEYaGBTr3sCNcFOzh4tOLjNm2renTp3NfMUIXi8U0evTo/15GCmRfZWWlVqxYqRqnk/747yrVxoskSW+99VaOI0MUJRIJJZNJ3fX6JqX+O0s8BTvCYNu2ksmk7v3nG0olkxTsCJXv+9QGIeLTi1apqqpilngYUVBQkOsQEGEzZsxQXV2t6nocoopaT6ni/eTlddazzz6rzZs35zo8RExeXp5831dFda18d9ftF/RxCINt2/J9X5U7a+R7HgU7QpeuDRhhzz4+vciY53maPHkyM0EidKlUSrNmzWLiOYRi7dq1evDBB+UnOsnqM0jXlnVRImarbr+jVFNTo9/97ne5DhERk5eXp0QioR+d2E+J/16xzL4UYdj1jQQJff+s45VIxLmHHaGybZvaIEQU7MgYI+sAouDuu+9WMplUzcAyyfnfbRfJnocqVdRH8+fP15IlS3IYIaImPz8/+L/13wkO6y8DsqVBgc6kc0C7RsGOjHmel+sQAGCfrFq1Sq+88op8y5Gb30XOuiWaNm2anFWvS15Kdk2lJOnBBx/McaSIkoKCAtXV1WnatGlS7c5gGZBtDQt2Jp1DuJh0Llx8epEx13VzHQIA7JPVq1dLknw7JqmJgwvbli9Lq1atMhoXoq1Bce67siyL7y5GKHYv0CnYESYK9nDx6UWrTJ06VXV1dbkOAxEXi8U0fvx4ZolH1qUPXpO9D5df0EXVvY9U+eFnq3rAMZIT144hZ0mxBAe5yKp0wb61z2eUSqWUl5fHwS1CYdu26urq9JuHZ6uuro6+DKHyfZ/aIER8epExy7JUVFTEQQaMqK6uznUIiKCjjz5anTp1UqJ8heSlZEnqkmcHY+2xLR/JStXqhBNOyGWYiJiCggJZlrUr1zxXBZ065TokRJRt27IsS8UFCVmWRcGO0KVrA+qD7OPTi1aZNGkS3x2L0KVSKc2dO5dZ4pF1hYWFOuOMM2Qldyqx/m3FHenbRxcp7khyk8r/5C3F43GdddZZuQ4VEVJQUKB4PK5vjR2qhO2rE/evIySWZSkej+ui005QPB6niEKobNumNggRBTsyxizxAKLgvPPOU/fu3ZX36X9kJWuC5YkNb8uq26Gvfe1r6tWrVw4jRNTsPks8E84hLNzDDkQHn15kjEnnAERBYWGhJk2aJHkpxctX7lrouUpsfFdFRUU699xzcxsgImf3gp2vdAMQBUw6Fy4KdmTM933V1tbmOgx0EEw4hzB98YtfVEFBJ8W3fqTalC+nar2sZLVOPfVURj+Rdemcqq1LSb5HjiF0tXVJSRRRCB+1QXgo2JEx27Z15513MhMkQhePxzVhwgTuiUJo8vPzNXz4MKWqNuvX89fL2/qJJOmYY47JcWSIovz8fNXV1el3f31KdXV1fKUbQlVXV6ff/W0Wx2swIl0bcHIo+yjYkTHXdVVaWsoHEqHzPE8bN26U53m5DgURNmjQIFmWpYML6+TUbJMkHXroobkNCpGU/hq3A3p3k2VZXBKPUFmWpf379ZZlWcw/hNClawPqg+yjYEfGamtrdeaZZzLqidC5rqsFCxYwbwJC1a9fP8XjcX31mFIl3Bp169ZNnfi6LYQgPz9f8XhcXz5ltOLxOCPsCI3neYrH4zpn7EjF43FOfCN01AbhoWBHxmpqava+EgC0Ez169Aj+b6eq1bNnzxxGgyhLJBJ7/B3Ilt1H1BlhR5gYVQ8XBTsyxr1QAKKkc+fOwf8tN9ngdyCbYrGYrHpfr0XBjrDsfmUaV6ohTMwSHy4KdmQsmUxq8+bNnK1F6CzLUlFREZ0/QpVIJFRXV6c//ele+b7PZcoIVcxxgn0ol48iLK7ryvd9bdq2Xb7vU7AjdNQG4eH7kpCxuro6TZ8+PddhoAOIxWIaM2ZMrsNAB1G1s0aWl+SAA6FL70MZYUdYXNdVMpnUvf9cqLyUS8GOUFmWFfRrDLJkHyPsyFhlZaWGDBki27a1c+fOXIeDCPM8T6tXr2ayHISqrq5Otm3rsJGjZds2t/0gVPFEItiHOo6T63AQUa7ryrZtHXlQP9lOTKlUKtchIeLS/RoFe/ZRsCNj5eXlGjdunGKxmDZs2JDrcBBhrutq8eLFjAwgVNu3b1csFtMpxxwhJ69A27dvz3VIiLC8RF6wD43FuNAR4UilUorFYhr/ucMUi8fYjyJ06X4N2UfBjox9+umnTf4fANqjrVu3Bv/3nXxt2bIlh9Eg6hzHrvd/RtgRjmQyGfzfl80IO0LFqHq4KNiRsfLy8uD/69evz2EkALDvNm3aFPzfSxRoy9atHNwiNHa9WeLr/x/IpgYj6hYFO8LFLPHhYk+BjO3YsUOrVq2S53ncw45QWZalkpISOn+E6tNPP5Xnefpg00558UL5ntfgxCSQTZZlBftQRtgRlmQyKc/z9OH6rXJlNRhxB8KQ7teQfRTsyMiOHTu0ZcsW/eOZ55VKpRhhR6hisZhGjRrFPVEI1ccff6xUKqWH3t6p2lhhsAwIy4wZM5RKpRhhR2hc11UqldLDr61QyvW4hx2hsiwr6NcYZMk+9hTIyL/+9S85jqNjTjhJTjyhf//738yojNCsX79eP//5z/WHP/wh16Egonzf14cffigrv1gnHNBZVqdukqQPPvggx5EhqmKxmEaOHCnHcSjYEZpUKiXHcXTcYf2ZJR5GpPs1CvbsY0+BFtu2bZt++7vfyYkndNzQg+SWDNK6dev05z//OdehIaJefvllHXnkkXr66ae5zAqhWL9+vTZv3iwV99YJA/OlohJJ0rJly3IcGaLKcRyVlZVRsCNUruvKcRx9/rD+cmJxpVKMsCM8lmUF/Rqyjz0FWmTjxo268srvatvWrarZ7yhJUm2/4fLyi/X3v/9dDzzwgHzfz3GUiJpBgwYF/+fAFmF46aWXJElucR9Jkp/oJC+/i95441/M0YFQ0JfBhIaTzllcEo9QMaoeLvYa2Ku3335bV1xxhdasWa26PkOV7HXYrj84Me089GR5ecW67777dNttt6m6ujq3wSJS8vPzcx0CIiyZTOqpp56SbEfJrvv/b3mPg1VXV6tZs2blLjhEVv2CndEohKXhIIolXwyqIDzMEh8uCnY0q7a2VtOmTdMVV3xHGzeWq6b/Z1U74LPyZOnf6+vk+ZKfV6Sdh42X26mHZs2apYsuvlhLly5ltB1ZUVtbq6VLlzIygFA8/fTTWrdunepKBstz4kG/VtdrsBRL6IHp01VVVZXrMBFB6X6NA1uExfN2TTS3ePUmeZ4vz+W2MoSLfi08TL2MBjZu3KiLL75YtbW18jxPyWRSviyluu2vZK/BKlzyiCRpZs2pipcvV+Hm95XsfpCqDx6jwref1LpPPtF3vvMdFRYWyvd9TZkyRUcddZQSiUSOW4b2xvM8PfLII3r55ZclSR9++KEOPPDAHEeFqNiyZYvunTZNiiVUt99R8j3pmff/e4VQLE81fY6SPv6X7rvvPl155ZW5DRaR4vu+XnjhBUlcHo/wpAv2WYvXKuG58jxOfCNc6X4N2ceeogPzfV8bNmzQ/Pnzdffdd+vCCy/UOeeco8rKStXW1qrGLlCqaD/5iUL5iU4NHjt2/3zZ9U+gWY78WEJevEDJbqXavrNaO3fu1A9/+EOddtpp+slPfqLHHntMy5YtU01NjdmGol2aO3euXnvtNY0dO1aO4+jKK6/kyg1kzfTp07Vzxw7V9PuM/Hi+YrZ06sEFiv13r5jsfbi8/K6aMeMJvuINWRWLxYJ+jUviERbLsuQ4jsYPG6CY48ji5BBClu7XGGHPvkiMsE+dOlW33Xab1q9fr6OOOkp/+MMf9LnPfS7XYbU555xzjpLJZPDjODHt3LmjwTq+5SjZ/QDV9Tta+R+9LLuuSrKk2LbV8vI6a8eR56jTB3P0ztzHFav1dt0RZdnyE52UKuqrWNU6OTs3y493Uqqwh/y8YnmbVurVV1/Vq6++GrzOgQceqFgspvXr1ysej+uvf/2r8vLyzL4hyIlUKqWdO3dqx44d2r59u7Zv366qqipVVVWpsrJSFRUV2rx5s2bPnq1EIqGhQ4dq/suvaPv27br88st1yCGHqFu3burSpYuKioqCn8LCwuCnoKCAHQaatXPnTj355JO7rh4q6q3Ep0uUKF+uyrpDZMeGqHDJDElSbZ8jVbD6NT399NP69re/neOoERWxWGxXvzZ/PiPsCI3134nm3nrhSVleQjb7RITIsqygX+P4K/vafcH+8MMP6/vf/77uuusuHXPMMfrtb3+rk08+WStWrFCvXr1yHV6bUF5eru9+73vauHFjg+We7cqyd6WAb8dlpWok35PXqYfim1bK2b5Rsh35TlxW3U4lPlmkZM9DZO3Yoqq6KsmOS3ZM8Q1vK775PaWK+spK1kpeSn4sIVmOYls/2vVaiUJZyWrJ9+TbcX24arVU7/Ks8ePH65xzztGll15q7o1BA57nqaamRjU1Nbrsssvk+74mT56sN998U6+99poOPfRQjRo1StOmTZPv+5owYYKWLVumDz/8UP369VO/fv20YMEC+b6vI444QmvWrFFFRYU6d+4s27a1ZcuWzEbILVu1XUo1bdo01TiF8jsV6t1339W7777bsodblmLxuHqVlGjTpk3yPE8HHHCAUqmU1q1bp27dumnEiBGaN2+efN/X2LFjVV5ermXLlunAAw/UKaecorvuukuWZenKK6/UokWLdNZZZyk/Pz/4icfj7JjaoTVr1uzKRTuuPV1o5hb3kyS98847hiJDR1B/VJ2CHWHZPbfYVyFM5Fe42n3Bfscdd+hb3/qWvvnNb0qS7rrrLs2cOVN//vOfde211+Y4urbBtu0Gk3b5lq2a/Y+TXbtd8c0rlepaqtp+R6vw7V2jSqnuByhevlx+okDJ7gcp2eswdVr+TPB4r9sAdd25Vlu6HqqaLqXqtPI5SVLt/sdKkmJV61TXZ6jcwhIVfDBHfryTdg6ZqPwP5srZUa7a/YbLd+LKX/WqLD8ly3Plui4HLi3kuu6uWxZqalRbW6u6urrg9+rqalVXV+s3v/mNPM+T7/vyPE+DBg1S586d9dZbb+2al8D35fu+OnXqJMuyVFVV1WQxfdNNNwX/X7hwoRYuXBj8/re//S34/8qVK7Vy5crg93//+9/B/7dUVMmXJSt4fluyLMmy5MU7yU7ulLyUJEtefhf5iU6yd2yWJFnbPlZVqkaWZWvHiPPV6e2nZO/cLN+JS74vy0vKyyuS27mP4pvfl+RLli35vnxZqku6+viTdZJ8Wf+NM+3TTz/VM8/8L6+ffPLJ4P+LFy/W4sWLG70P9deRGh4QWZYly7LUo0cP7bffflqzZo127twpy7Jk27YOPfRQHXfccercuXNwFUBBQYHy8vKUl5enRCKh/Pz84P/s/MJTXFwsSUp16Se/oIvqCo6U+h+pE8u6aOGCCu048hxJklW36wqkLl265CxWRE/9gp1L4hEWy7KUSCR00UUX6ffT/irL4xgL4eGYJVztumCvq6vTW2+9peuuuy5YZtu2xo4dqwULFjT5mNraWtXW1ga/V1ZWSlJwmXj6ORzHkeu68rz/zaqZXp5KpRoUN47jyLbtZpennzctFtv1tqdSqRYtj8fjweQhaZZlKRaLNbu8fuzFxcW6/7779Pzzz+uvf/ubtm7ZorxPdhVeKSshb0e5ij55XX7vQfLyOivf3a66XoNU13e44o6luCUlh//3ANaV6gYeo0EDj9eCT2oV93f9LfnfEPyDj1NSkuW5StRWqWbgSDm1VSpa9y/ZjmTlFSh//Zuqq6mWZVmKx+MaOfJYfe1rX9PBBx8sSS1qUxS3097adP7552v9+vXB68bj8aAt6cft3oa0JUuWNDnT+vbt2xWLxZos1h3HUeq/j7GkXYWwtWuH71mOLC8ly3clWfKLSqRUnVRTJdn2rke4SSmWUPKQkxR7f+6uojyWkHxf8lx5nXsp2bm38j79z6714/myfFdWbaW8gq6ykzukuh27bruId1Ji/duyktslJybLSUh1OyRZqt3/OMXKV/z3jYpLTkxK1sh38lTb92jlf/y65LnybUeyY/J9L9gGcpOS70mWI7ewp5wdm3a1yXYkz5Pky7NjcixLvtv4vU2/b/Xfvw0bNmjDhg2yLKvB8kWLFmnx4sXyfT94z9PbJJFIBCdS0nmRnrRx1KhRwXPkKvei9nkqKSlRaWmpPvnkY6l6k7zOPeVY0vw1NXI9Kf7fc0r56xcpnkjomGOOkaQ23aYobqeotsmyLL3++usN4m3vbYridmrvbYrFYnIcR6+tWCfHkvLyEsFrttc2RXE7RalNr7/+ulzXjVSbwt5OLb3ytF0X7Js2bZLruurdu3eD5b1799by5cubfMwtt9yiKVOmNFr+/PPPq1OnXROrDRw4UMOHD9eSJUu0Zs2aYJ1BgwZp8ODBeuONN1ReXh4sHzZsmEpLSzV//vwGXwFUVlamXr166fnnn2+QRKNHj1ZBQUGj7/gdP368qqurNXfu3GBZLBbThAkTtGnTpgYnIYqKijRmzBitXbu2wUhgSUmJRo0apffee08rVqwIlg8cOFCnn366+vfv32ACpbffflsvzpmj08Ydq/333z9YPnv2bC1b8q6+8Y1vqGf3bsHyh5bt0AfbUvrsfnk6bsD/viP7nheXaefGNfreV8fXa1F3TZ06VUVFRZo0aVKwNJlM6u2331Zpaam6ddv13CtWrNC6desyblMUt1NzbUokEvrSl76kF198UZI0ceJEPfvss9qwYYMGDRqkMWPG6C9/+Uvwup988omKi4t12GGH6cgjj9TDDz+s7du3y3EcDRkyRB988IGOPPJIHXzwwbr//vtl27auvPJKvfDCC1qzZo2GDRum+fPnKxaLqUuXLpo0aZJmzZqlTz75RNu3b9cBBxygzZs3q7CwUOeee67+9re/aX31Nh160EE6/PDDNWfOHHXt2lWH9qvTC+9Wq6CgQKeccopqamr0yiuvyHGqtXXdInXt2lWe5+mUU07Rli1bNG/ePCW379A3Jk3SM08/Jdd1dfrpp+vpWc9pW7JGRxxxhMaMGaMHHnhAktRtwwJVVVWpsLhIhx56qD7zmc/or3/9qyorK9W36h0ddPQwrVy5UkcccYQOOuggPfjgg4rFYvr2t7+t+fPn66OPPtKhhx6qN998U/F4XJ07F+uCCy7Qs88+q9WrV2vnzp06/IgjtHbtWuXn5+u8887Tgw8+qPLych1xxBE69NBD9cILL6i4uFj9+/fXwoUL1alTJ40bN06e5+mll16S7/uqqqpSz549VVtbq5NPPlmVlZV68cUXlUqldPHFF+uRRx5RXV2dTj31VD333HOqqqrStm3bGuRfrnIvip+nH/zgB5o7d26Dfu/p93bK9aVvDeusXoWOVDZBkvTZz35Wktp8m6K4naLYJsdx1Lt3b1122WVav369Zs2a1e7bFMXt1N7blEqldNlll0mSRg36mpYsWSJJ7bpNUdxOUWlTIpFQp06d5LpuZNokhb+dRowYoZaw/HY87fK6devUr18/vfbaayorKwuWX3PNNXrppZf0+uuvN3pMUyPsAwYM0KZNm4LLJKN41mtPbZJ2jQp++umnWr9+vdavX69PP/1Un3zyiTZuLFdVVWWwfk28i/w+g3XmcUfqySWfShtWKrH1IyVrdsr3fRUUFKhX797ar08f9e7dW/vtt5/69OmjPv/9vXPnzkbaFMXttHub6v9bW1sbnNVMv47v+0omk8Frp9d3XVepVKrBJfPp5en1dl/f87wGP+l1dl+Wfq29/eu6rpLJpFKpVLC8rq5OqVRK1dXVqq2tVXV1terq6nTsscfqlVdeke/7KiwsVOfOnZVIJBSPx5VIJGTbtmKxmOLxeINRhfR7lv43/WPbdvCTns00vT3S/0+vV395OlfSf0+Pkqefq/7y9Dau//rp9dOXyKdjjsfj8n0/WLc95F76vWjvn6e//e1vuu++++QWdFNy8Mk647BiPfLuTsW2rVWnj15S9+7ddfvtt6tv377tpk1R3E5Ra9PPfvYz9ejRQ//85z/1q1/9Socffni7b1MUt1N7b9Orr76qm2++WSdP/IqenfmMSooL9Je//KVdtymK2ykqbXryySe1bt06PfXUU3ruueci0ab6sYe1nXbu3KmuXbuqoqIiqEOb0q5H2Hv27CnHcbRhw4YGyzds2KA+ffo0+Zj0/aK7Sx8415c+wN9dOjFaunz3523N8nRR0NLlzcXe3PK+ffuqb9++Tcazc+dOLV26VDNnztQrr7yi2NrXdWD3zyjx9jOqq6tTcUmJJpxztsaNG6f99tuvyedvSthtiuJ2ai72qM6wn0wmNWvWLN13333Nbocoaw+5154/T+eee642bNigJ554Qs6qBTpo1KlyaioUe3+e7HhMN998s/r379+u2hTF7RS1NsViMZWWlsp1XeXl5TV4/fbaJil620lq321KJBJyXVcH9O4mt65WsVjRHmNvD22K4naKSpssy1JpaWmDQZKWxt5W29SS5fvappbe+9+uC/ZEIqERI0boxRdf1BlnnCFp1/3PL774oq644orcBhchnTp10jHHHKNjjjlGmzdv1rPPPitJGjlypL74xS/qc5/7XLOJCQBtlWVZuuKKK7Rq1apgJvj81a/JdZP68Y3XB/NqANmUSCSC/3fEE5EwIz//f7ctWn6qwe9AtjHpXLja/ZSR3//+9/WnP/1JDzzwgN599119+9vf1o4dO4JZ45FdPXr00Dnn7JqA7vrrr9eoUaMo1gG0W7FYTNdee21w5tzZuVljxozR8ccfn+PIEFX195nsPxGWBgW651KwA+1Yu99TfOUrX1F5ebluuOEGrV+/XsOGDdOzzz7baCI6ZI/jOBo2bFiLL30HWotcgwl9+vTR8ccfr9mzZyuVSum8887LdUiIMMdxglyrP9oOZFN+fr5SqZSefe0/SqVSkb11Dm2DZVlBv4bsa/cFuyRdccUVXAJvkG3bKi0tzXUY6ADINZjymc98Rs8995wk6cADD8xxNIiyRCKhZcuWBf8HwlBQUCDP87T03RWKeZ4KCgpyHRIizLKsoF9D9rX7S+JhXiqV0pw5cziLhtCRazClrKxMV1xxhX72s59xLx5ClUgkNGnSpCYnuwWypVOnTorH4/rmxHGKx+PBVxcDYbAsK+jXkH2RGGGHWenvlG7H3wiIdoJcgynp2brrf0UoEIZ4PK6uXbvKsiwObhGa/Px8WZalnt27ybIsCnaErkePHpzwDgkj7AAAAIYwSzxMsG1befUmmqNgB9ovCnYAAABDWvK960A21C/SKdgRJkbWw0XBjow5jqOysjJm7kboyDWYQq7BlHg8rscff1zJZDLXoSDi8hKJINcKCwtzHQ4izLIs+rUQUbAjY7Ztq1evXrJt0gfhItdgCrkGUxKJhFavXs3cHAhdp06dglxjhB1hsiyLfi1EHJkgY8lkUjNnzuQsGkJHrsEUcg2mxGIxXX755XylG0JXVFQU5BoFO8JGvxYeCna0Cl+zBVPINZhCrsGEeDyuvLy8XIeBDiA/Pz/INQp2hMmyLPq1EFGwAwAAGMJEczClfpFeUFCQw0gQdUw6Fy4KdgAAAEMo2GFKfr2vdaNgR5go2MNFwY6MxWIxjR49moMOhI5cgynkGkyJx+OaPn068yUgdPn5+UGuUbAjTJZl0a+FiIIdrULHD1PINZhCrsGEWCymqqoqZlNG6PLz84Nco39DmCzLol8LEQU7MpZKpTRr1iwmaELoyDWYQq7BFNu2NXnyZGZTRujy8/ODXGNCMISNfi08FOwAAACG2DaHXjCj/j3sjuPkMBJEHfewh4u9BgAAgCEUTjCF0U6YQsEeLgp2AAAAIGIo2GEKBXu4KNiRsVgspvHjxzObMkJHrsEUcg2m2LatqVOnqq6uLtehIOLy8vLINRhDroWHgh2tUl1dnesQ0EGQazCFXIMpRUVFjEghdIlEglyDEZZlkWshomBHxlKplObOnctsyggduQZTyDWYNGnSJMXj8VyHgYizbZtcgxHkWrgo2AEAAAwZMGCAJOnqq6/OcSSIOoonIBoo2AEAAAxJz5MwevToHEeCqGNODpjCpfDhomBHq7ATgCnkGkwh12AKuQYT9t9/f6VSKX3nO9/JdSiIOMuyVFtbm+swIsvyfd/PdRC5VFlZqS5duqiiokLFxcW5DgcAAAAA2o2XX35Z119/vSRp3rx5uQ2mHWlpHcoIOzLmeZ42btwoz/NyHQoijlyDKeQaTCHXYAq5BlN831dpaSmXxoeEgh0Zc11XCxYskOu6uQ4FEUeuwRRyDaaQazCFXINJZ555JhMdhoSCHQAAAADQKoysh4uCHQAAAADQKhTs4aJgR8Ysy1JRUREfToSOXIMp5BpMIddgCrkGUyzL0ubNm9XB5zIPDbPEM0s8AAAAALTKggULdN1110lilvhMMEs8QuN5nlavXs2sowgduQZTyDWYQq7BFHINJg0ZMkS2TWkZBt5VZMx1XS1evJhZRxE6cg2mkGswhVyDKeQaTBo3bpxisViuw4gkCnYAAAAAANogCnYAAAAAQKswsWG4KNiRMcuyVFJSwocToSPXYAq5BlPINZhCrsEUy7K0atUq5ksICbPEM0s8AAAAALTKm2++qauvvloSs8RnglniERrXdbV8+XImMUHoyDWYQq7BFHINppBrMMX3fY0cOVKO4+Q6lEiiYEfGPM/TihUruOwFoSPXYAq5BlPINZhCrsGksrIyCvaQULADAAAAAFqFeRLCRcEOAAAAAGgVCvZwUbAjY7Zta+DAgbJt0gfhItdgCrkGU8g1mEKuwRTLsrR06VLmSwhJLNcBoP1xHEfDhw/PdRjoAMg1mEKuwRRyDaaQazDFcRy98MILuQ4jsjjlhoy5rqtFixZxFg2hI9dgCrkGU8g1mEKuwRTf9zV27FgmnQsJBTsy5nme1qxZw6yjCB25BlPINZhCrsEUcg0mDR06lII9JBTsAAAAAIBWYdK5cFGwAwAAAABahYI9XBTsyJht2xo0aBCzjiJ05BpMIddgCrkGU8g1mGLbthYsWMB8CSFhlnhkzHEcDR48ONdhoAMg12AKuQZTyDWYQq7BFMuytHDhwlyHEVmcckPGUqmUXnvtNaVSqVyHgogj12AKuQZTyDWYQq7BFM/zNHHiRMVijAWHgYIdGfN9X+Xl5fJ9P9ehIOLINZhCrsEUcg2mkGswaf/99+f2i5DwrgIAAAAAWoVJ58JFwQ4AAAAAaBUK9nBRsCNjjuNo2LBhchwn16Eg4sg1mEKuwRRyDaaQazDFtm3Nnj2b+RJCwswAyJht2yotLc11GOgAyDWYQq7BFHINppBrMMW2bS1btizXYUQWI+zIWCqV0pw5cziLhtCRazCFXIMp5BpMIddgiu/7mjRpkuLxeK5DiSQKdmTM931VVVUx6yhCR67BFHINppBrMIVcgym+76tHjx7cyx4SCnYAAAAAQKtQqIeLgh0AAAAAgDaIgh0ZcxxHZWVlzDqK0JFrMIVcgynkGkwh12CK4zh6/PHHlUwmcx1KJDFLPDJm27Z69eqV6zDQAZBrMIVcgynkGkwh12CKZVlavXp1rsOILEbYkbFkMqmZM2dyFg2hI9dgCrkGU8g1mEKuwRTXdXX55ZcrkUjkOpRIomBHq/AVITCFXIMp5BpMIddgCrkGU/Ly8nIdQmRRsAMAAAAA0AZRsAMAAAAA0AZRsCNjsVhMo0ePVizGnIUIF7kGU8g1mEKuwRRyDabYtq3p06czX0JIKNjRKgUFBbkOAR0EuQZTyDWYQq7BFHINplRVVcn3/VyHEUkU7MhYKpXSrFmzmMgEoSPXYAq5BlPINZhCrsEUz/M0efJkZokPCQU7AAAAAABtEAU7AAAAAABtEAU7AAAAAABtkOV38NkBKisr1aVLF1VUVKi4uDjX4bQLvu8rlUopFovJsqxch4MII9dgCrkGU8g1mEKuwZT33ntPkydPVl1dnebNm5frcNqNltahjLCjVaqrq3MdAjoIcg2mkGswhVyDKeQaTCkqKuLEUEgo2JGxVCqluXPnMusoQkeuwRRyDaaQazCFXIMpnudp0qRJisfjuQ4lkijYAQAAAABogyjYAQAAAABogyjY0SqxWCzXIaCDINdgCrkGU8g1mEKuwZTa2tpchxBZzBLPLPEAAAAA0Crvv/++Lr74YklilvgMMEs8QuN5njZu3CjP83IdCiKOXIMp5BpMIddgCrkGU3zfV2lpKbPEh4SCHRlzXVcLFiyQ67q5DgURR67BFHINppBrMIVcgyk9e/bUmWeeqbPOOivXoUQSBTsAAAAAoFU6d+4sSbrkkktyHEk0UbADAAAAAPYJl8SHg4IdGbMsS0VFRXwoETpyDaaQazCFXIMp5BpMIdfCxSzxzBIPAAAAADCIWeIRGs/ztHr1amYdRejINZhCrsEUcg2mkGswhVwLFwU7Mua6rhYvXsysowgduQZTyDWYQq7BFHINppBr4aJgBwAAAACgDaJgBwAAAACgDaJgR8Ysy1JJSQkzQSJ05BpMIddgCrkGU8g1mEKuhYtZ4pklHgAAAABgELPEIzSu62r58uVMLIHQkWswhVyDKeQaTCHXYAq5Fi4KdmTM8zytWLGCr25A6Mg1mEKuwRRyDaaQazCFXAsXBTsAAAAAAG0QBTsAAAAAAG1Quy7Yf/GLX2jUqFHq1KmTunbtmutwOgzbtjVw4EDZdrtOH7QD5BpMIddgCrkGU8g1mEKuhatdzxJ/4403qmvXrvr44481bdo0bdu2LePnYJZ4AAAAAIBJHWKW+ClTpuiqq67S0KFDcx1Kh+K6rhYtWsRMkAgduQZTyDWYQq7BFHINppBr4YrlOgDTamtrVVtbG/xeWVkpSUomk0omk5J2XdbhOI5c120w22F6eSqVUv0LExzHkW3bzS5PP29aLLbrbU+lUi1aHo/H5Xlegw+BZVmKxWLNLm8u9my0yfM8rVmzRoMGDVI8Ho9Em6K4naLQprq6uiDX8vPzI9GmKG6nKLQpmUxqzZo1GjJkiHzfj0Sb6scele0UhTY1tQ9t722K4naKQptqa2uDXMvLy4tEm6K4naLQpvr7UEmRaFP92MPaTi290L3DFey33HKLpkyZ0mj5888/r06dOkmSBg4cqOHDh2vJkiVas2ZNsM6gQYM0ePBgvfHGGyovLw+WDxs2TKWlpZo/f76qqqqC5WVlZerVq5eef/75Bkk0evRoFRQUaNasWQ1iGD9+vKqrqzV37txgWSwW04QJE7Rp0yYtWLAgWF5UVKQxY8Zo7dq1Wrx4cbC8pKREo0aN0nvvvacVK1YEy7PZpm7dukmSZs+eHZk2RXE7RalNs2fPjlybpOhtp/beprQotSmK26m9t+mggw6S1HAf2t7bFMXtFKU2zZ49O3JtkqK3ndp7m9Ki1Kawt9OIESMavX9NaXP3sF977bW69dZb97jOu+++q8GDBwe/33///fre977XonvYdx9hr6io0MCBA/XRRx+pqKhIUvTOemW7Ta7r6vnnn9fo0aMZYadNobaprq5Oc+fO1ejRoxlhp02hj7DPnTtXX/jCF2RZViTaVD/2qGynKLTJ87xG+9D23qYobqcotKm2tjbYhzLCTpvCbFP9fWi6n2vvbaofe1jbaefOnRo4cKC2bdumLl26qDltboT9Bz/4gS644II9rnPggQe2+vnz8vKUl5cX/J6+JP6AAw5o9XMCAAAAAJCpqqqq9lWwl5SUqKSkxNjr9e3bV2vXrlVRUZEsyzL2uu1ZZWWlBgwYoLVr1zKzPkJFrsEUcg2mkGswhVyDKeRa6/i+r6qqKvXt23eP67W5gj0Ta9as0ZYtW7RmzRq5rhvci3DwwQerc+fOLXoO27bVv3//EKOMruLiYj6UMIJcgynkGkwh12AKuQZTyLXM7WlkPa1dF+w33HCDHnjggeD34cOHS5Lmzp2rE088MUdRAQAAAACw79r197Dff//9wdfv1P+hWAcAAAAAtHftumBHbuTl5enGG29sMHkfEAZyDaaQazCFXIMp5BpMIdfC1ea+1g0AAAAAADDCDgAAAABAm0TBDgAAAABAG0TBDgAAAABAG0TBjha7//771bVr11yHAcNOPPFEfe973wt+33///fXb3/42Z/Gg/bAsS0888USuw2iRm266ScOGDct1GE1qy7Fh73bffhdccIHOOOOM4Pfd+1i0LfRjQGOrVq2SZVlavHhxrkPpECjYO6C1a9fqwgsvVN++fZVIJFRaWqrvfve72rx5c7AORVnbVV5erm9/+9saOHCg8vLy1KdPH5188sl69dVXg3XCPMD417/+pUsuuSQrz3XppZfKcRw9+uijWXm+lmprJ5/a2o5v94ICrdPSPLv//vtlWVajn3vvvTf8ILFPvvSlL+mLX/xik397+eWXZVmWzjzzTL344ouGIwP9WHZk0o81t157OunRHl1wwQXBfiORSOjggw/Wz372M6VSqaw9P5+l3IrlOgCY9eGHH6qsrEyHHnqo/va3v+mAAw7Q22+/rR/+8If65z//qYULF6p79+5GY0omk4rH40Zfsz0766yzVFdXpwceeEAHHnigNmzYoBdffLHBCZcwlZSUZOV5du7cqb///e+65ppr9Oc//1lf/vKXs/K8e5NMJo28DpCJ4uJirVixosGyLl26GHv9uro6JRIJY68XFRdddJHOOussffzxx+rfv3+Dv9133336zGc+oyOPPDJH0QHoKL74xS/qvvvuU21trWbNmqXJkycrHo/ruuuuy3VoyAJG2DuYyZMnK5FI6Pnnn9cJJ5yggQMH6pRTTtELL7ygTz75RD/5yU904oknavXq1brqqquCM3b1PffcczrssMPUuXNnffGLX9Snn37a4O/33nuvDjvsMOXn52vw4MG68847g7+lRxIffvhhnXDCCcrPz9dDDz1kpO1RsG3bNr388su69dZbNXr0aJWWlupzn/ucrrvuOp122mmSdl0dIUkTJ06UZVnB702dIf3e976nE088Mfh9x44dmjRpkjp37qz99ttP//d//9coht2vvlizZo1OP/10de7cWcXFxTrnnHO0YcOGvbbl0Ucf1eGHH65rr71W8+fP19q1axv8PR3vlClTVFJSouLiYl122WWqq6sL1nn22Wd13HHHqWvXrurRo4dOPfVUffDBB8Hfm8u3b37zm6qoqAjy+6abbgradvPNNwfvQWlpqZ566imVl5cHbTzyyCP15ptvNoj1lVde0ec//3kVFBRowIABuvLKK7Vjx44G79kvf/lLXXjhhSoqKtLAgQN1zz33BH8/4IADJEnDhw+XZVkNtklbcOKJJ+rKK6/UNddco+7du6tPnz7Be5b23nvv6fjjj1d+fr4OP/xwzZ49u9HzrF27Vuecc466du2q7t276/TTT9eqVauCv7dkm3uep1tuuUUHHHCACgoKdNRRR+mxxx4L/j5v3jxZlqUXX3xRn/nMZ9SpUyeNGjWqUTH8q1/9Sr1791ZRUZEuuugi1dTUNIq3JX3Z448/rtGjR6tTp0466qijtGDBgiCO5vKsKZZlqU+fPg1+CgoKmlzX8zz97Gc/U//+/ZWXl6dhw4bp2WefbbDO0qVLNWbMGBUU/P/27j0squL/A/iby7LALstNJCBkFQUhBcX8+sM0EiHIJC1vT5qCIirm9ZtWZgp5L8u8paYGYmmPCfmI9wuK8hVRvACiXOWiGYSSKGCALZ/fHz6cOOyCoKibfl7Ps8/DzpkzZ2bO7OwZzpxZI1haWmLChAmoqKhQq+vFixfD1tYWzs7OjeaNNW7gwIGwsrLCli1bROEVFRXYuXMngoODWzxN+ccff8Srr74KExMTvPTSSxg5ciRKSkpaN+MvIO7Hnnw/1lwP6580PSYyePBgBAUFCe/XrVuHTp06wdDQENbW1hg6dKiw7WH1+zyqm3Hp4OCA0NBQ+Pj4IDY2FtXV1Zg1axbs7Owgk8nQq1cvxMfHC/vVzYxo7No+PDwcUVFR2L17t9AG6u+fl5ense3UiYmJwSuvvAKpVAqlUql2Xalp9oWZmZnQp9bU1GDKlCmwsbGBoaEhHBwcsHTpUiFuWVkZxo8fL3zWvL29kZqa+vgVqm2IvTBKS0tJR0eHlixZonF7SEgImZub061bt+jll1+mBQsWUFFRERUVFRERUWRkJEkkEvLx8aHk5GQ6f/48ubi40MiRI4U0fvrpJ7KxsaGYmBjKy8ujmJgYsrCwoC1bthARUX5+PgEgpVIpxPn999+ffOGfE/fv3ye5XE4zZsygqqoqjXFKSkoIAEVGRlJRURGVlJQQEVFgYCANGjRIFHf69Onk5eUlvA8NDaV27drR0aNHKS0tjQYOHEgmJiY0ffp0IY6DgwN9++23RESkUqmoW7du1KdPHzp37hwlJSVRjx49RGk2pm/fvrR27VoiIhoyZAgtWLBAtD0wMJDkcjmNGDGC0tPTae/evWRlZUWfffaZECc6OppiYmIoJyeHLl68SAEBAdS1a1dSqVREpLm9FRQU0MqVK0mhUAjtu7y8XCibhYUFbdiwgbKzsyk0NJQUCgX5+/vTL7/8QllZWTR48GBycXGh2tpaIiLKzc0lmUxG3377LWVnZ9OpU6eoe/fuFBQUJKozCwsL+u677ygnJ4eWLl1Kurq6lJmZSUREZ8+eJQB09OhRKioqotLS0ofW35PUsK14eXmRQqGg8PBwys7OpqioKNLR0aHDhw8T0YN20KVLF+rfvz+lpKTQiRMnqHv37gSAdu3aRURENTU15OLiQuPGjaO0tDS6cuUKjRw5kpydnam6ulo47sPO+aJFi6hz58508OBBunr1KkVGRpJUKqX4+HgiIjp+/DgBoF69elF8fDxdvnyZ+vbtS7179xbS2LFjB0mlUtq8eTNlZmbS3LlzycTEhNzd3YU4ze3LOnfuTHv37qWsrCwaOnQoOTg40P3796m6urrRdtZQZGQkmZqaNno+wsLCRHlbsWIFKRQK+vnnnykzM5M+/vhjkkgklJ2dTUREFRUVZGNjQ++99x5dunSJ4uLiqH379hQYGCg6x3K5nEaPHk3p6emUnp7e6PFZ02bPnk2Ojo5Cn0BEFBERQUZGRlRWVqZ2/jR9vur3sT/88APt37+frl69SqdPnyZPT0966623nkJJni/cj2lPP1a/DpvTPzX8TBARDRo0SIiTnJxMenp6tH37diooKKALFy7QqlWrml2/zxtN13fvvPMOeXh40Pjx46l379508uRJys3NpeXLl5NUKhW+Lx52bV9eXk7Dhw8nf39/oQ1UV1c/tO0QEZ07d450dXVpwYIFlJWVRZGRkWRkZESRkZFCPuu3jTqmpqZCnOXLl5O9vT2dPHmSCgoKKCEhgbZv3y7E9fHxoYCAAEpOTqbs7Gz66KOPyNLS8plfR7U2HrC/QJKSkjR+MOqsWLGCANAff/whGpTViYyMJACUm5srhH333XdkbW0tvHd0dBR9kIiIFi5cSJ6enkT0z5fDypUrW6dQL6Do6GgyNzcnQ0ND6t27N82ZM4dSU1NFcTSd54cN2MvLy8nAwIB++eUXYXtpaSkZGRk1OmA/fPgw6enp0bVr14Ttly9fJgB09uzZRsuQnZ1NEomEbt68SUREu3btovbt24sueAMDA8nCwoIqKyuFsPXr15NcLhcG5A3dvHmTANClS5eIqPH21tiFhYODA33wwQfC+6KiIgJA8+bNE8JOnz5NAIR/ZAUHB9OECRNE6SQkJJCuri799ddfGtOtra2ltm3b0vr160X5vHjxouYKe8o0Xej26dNHFKdnz570ySefEBHRoUOHSF9fn27cuCFsP3DggKgd/vjjj+Ts7Cw6x9XV1WRkZESHDh0SjtvUOa+qqiJjY2NKTEwU5SU4OJjef/99IvrnQvfo0aPC9n379hEA4Xx4enrS5MmTRWn06tVLdKHb3L5s8+bNwva6tp+RkUFEDx+I16nrW2UymfCq3682HPDZ2trS4sWLRWn07NlTKNPGjRvJ3NycKioqRHWgq6tLxcXFRPSgrq2trYVBBnt0GRkZBICOHz8uhPXt21f4zLd0wN5QcnIyAWh0oMQ0437s2fdjda/6ddic/ulhA/aYmBhSKBR09+5dtXw0p36fN/Xbem1tLR05coSkUikFBQWRnp6eqE0TEfXv35/mzJlDRM27ttd0/dictjNy5Ejy9fUV7Td79mxydXUV3j9swD516lTy9vYWfebqJCQkkEKhULuB5ejoSN9//71a/H8znhL/AiKiR97X2NgYjo6OwnsbGxthql5lZSWuXr2K4OBgyOVy4bVo0SLRNGUAePXVVx85Dy+6IUOG4Pfff0dsbCz8/f0RHx8PDw8PtSmZLXX16lXU1NSgV69eQpiFhUWTU2UzMjJgb28Pe3t7IczV1RVmZmbIyMhodL+IiAj4+fmhTZs2AIABAwbgzp07OHbsmCieu7s7jI2Nhfeenp6oqKgQps/n5OTg/fffR4cOHaBQKITp/9euXROl05L2Vv95U2trawBA165d1cLq2n1qaiq2bNkiavN+fn6ora1Ffn6+xnTrpj//m6a5NnwOt/5nv64d2NraCts9PT1F8VNTU5GbmwsTExOhniwsLFBVVSXqH5o657m5ubh37x58fX1F9b1161a1PqZ+fm1sbABAlN/67bxhflvSlzV1nJYwMTFBSkqK8EpMTNQY7+7du/j999/x2muvicJfe+014TOXkZEBd3d3yGQy0fba2lrRlNquXbvyc+utoHPnzujduzciIiIAALm5uUhISEBwcPAjpXf+/HkEBASgXbt2MDExgZeXFwD1fo21HPdjT7cfq3vV19z+qSm+vr5wcHBAhw4dMHr0aGzbtg337t0DgBbV7/Nk7969kMvlMDQ0xFtvvYURI0Zg6NChUKlUcHJyEtXFiRMnRHXR1LX9wzysjWr6rsrJyYFKpWpW+kFBQUhJSYGzszOmTZuGw4cPC9tSU1NRUVEBS0tLUfny8/Ofu3PNi869QDp27AgdHR1kZGTg3XffVduekZEBc3PzJhcVa7g4nI6OjvAPgLrnjzZt2qT2JaKnpyd6X7+jZi1naGgIX19f+Pr6Yt68eRg/fjzCwsJEz3c1pKurq/bPmmexAJtKpUJUVBSKi4uhr68vCo+IiED//v2bnVZAQAAcHBywadMm2Nraora2Fl26dBE9Kwi0rL3Vb+N16zdoCqutrQXwoN1PnDgR06ZNU0urXbt2GtOtS6cujX+Dx81/RUUFevTooXHNiuYuZFjXx+zbtw92dnaibVKptNH8NjxnzT1Oc/qyxzlOfbq6uujYsWOL93sc3A+3nuDgYEydOhXfffcdIiMj4ejoKAy0W6KyshJ+fn7w8/PDtm3bYGVlhWvXrsHPz0+tX2Mtx/3YA9rejz3sesXExAQXLlxAfHw8Dh8+jPnz5yM8PBzJycktqt/nSb9+/bB+/XoYGBjA1tYW+vr62LFjB/T09HD+/Hm1cy6Xy4W/m7q2f5jHbTuajlX/XHt4eCA/Px8HDhzA0aNHMXz4cPj4+CA6OhoVFRWwsbERPVNfR5t+Cag18ID9BWJpaQlfX1+sW7cOM2fOFC1oVFxcjG3btmHMmDHCz0I0979fdaytrWFra4u8vDyMGjWqtbPPmuDq6ipatEMikaidPysrK6Snp4vCUlJShM7W0dEREokEZ86cEQaat2/fRnZ2dqMXni4uLrh+/TquX78u3GW/cuUKysrK4OrqqnGf/fv3o7y8HBcvXhR9gaSnp2Ps2LEoKysTOtrU1FT89ddfQltNSkqCXC6Hvb09SktLkZWVhU2bNqFv374AHiz+1hyP0r4b4+HhgStXrjzWRUrdXc7WytPTVtcOioqKhP+wJyUlieJ4eHhgx44daNu2LRQKRaNpNXXOLSwsIJVKce3atUcaDNXP75kzZzBmzBghrH5+W6sva812VkehUMDW1hanTp0S1cGpU6fwn//8B8CD8m3ZsgWVlZXCoPzUqVPQ1dXlxeWekOHDh2P69OnYvn07tm7ditDQULUFW5sjMzMTpaWlWLZsmdCnNlzkkj0Z3I9p1tr9WHP6JysrK9GCxiqVCunp6ejXr58Qpq+vDx8fH/j4+CAsLAxmZmY4duwYfH19W6V+/21kMpnadUj37t2hUqlQUlIiXCc9ikdtAy4uLqKfHAYenGsnJyfh+q/huc7JyRFmS9RRKBQYMWKEMGvA398ff/75Jzw8PISbP3UzLJ9XPCX+BbN27VpUV1fDz89PWJn74MGD8PX1hZ2dHRYvXgzgwarWJ0+exI0bN3Dr1q1mp//FF19g6dKlWL16NbKzs3Hp0iVERkZixYoVT6pIL5TS0lJ4e3vjp59+QlpaGvLz87Fz50589dVXGDRokBBPqVQiLi4OxcXFuH37NgDA29sb586dw9atW5GTk4OwsDDRAF4ulyM4OBizZ8/GsWPHkJ6ejqCgIOjqNt5N+Pj4oGvXrhg1ahQuXLiAs2fPYsyYMfDy8mp0GvoPP/yAt99+G+7u7ujSpYvwqlt1t/6di5qaGgQHB+PKlSvYv38/wsLCMGXKFOjq6sLc3ByWlpbYuHEjcnNzcezYMfz3v/9tVj0qlUpUVFQgLi4Ot27dUvtyaIlPPvkEiYmJmDJlClJSUpCTk4Pdu3djypQpzU6jbdu2MDIywsGDB/HHH3/gzp07j5yfZ8HHxwdOTk4IDAxEamoqEhISMHfuXFGcUaNGoU2bNhg0aBASEhKQn5+P+Ph4TJs2Db/99psQr6lzbmJiglmzZmHmzJmIiorC1atXceHCBaxZswZRUVHNzu/06dMRERGByMhIZGdnIywsDJcvXxbFaY2+rDXbWX2zZ8/Gl19+iR07diArKwuffvopUlJSMH36dAAP6trQ0BCBgYFIT0/H8ePHMXXqVIwePVp4pIO1LrlcjhEjRmDOnDkoKipqcrZTU9q1awcDAwOsWbMGeXl5iI2NxcKFC1s3s0wj7sc0a+1+rDn9k7e3N/bt24d9+/YhMzMToaGhKCsrE9LYu3cvVq9ejZSUFBQWFmLr1q2ora2Fs7Nzq9Xv88DJyQmjRo3CmDFj8OuvvyI/Px9nz57F0qVLsW/fvmano1QqkZaWhqysLNy6davZszM/+ugjxMXFYeHChcjOzkZUVBTWrl2LWbNmCXG8vb2xdu1aXLx4EefOncOkSZNEd+1XrFiBn3/+GZmZmcjOzsbOnTvx0ksvwczMDD4+PvD09MTgwYNx+PBhFBQUIDExEXPnzn3+/tH5LB+gZ89GQUGBsOCQRCIhe3t7mjp1Kt26dUuIc/r0aXJzcyOpVEp1zUTTwiO7du2ihs1o27Zt1K1bNzIwMCBzc3N6/fXX6ddffyUi7Vtc69+mqqqKPv30U/Lw8CBTU1MyNjYmZ2dn+vzzz+nevXtCvNjYWOrYsSPp6+uTg4ODED5//nyytrYmU1NTmjlzJk2ZMkW0ont5eTl98MEHZGxsTNbW1vTVV1+pLf7ScEHCwsJCeuedd0gmk5GJiQkNGzZMWDimoeLiYtLX1xctbFdfaGgode/enYj+WeRk/vz5ZGlpSXK5nEJCQkSLixw5coRcXFxIKpWSm5sbxcfHixYwaaq9TZo0iSwtLQkAhYWFaSwbkfqCKJrSPHv2LPn6+pJcLieZTEZubm6iRcE0pevu7i4cl4ho06ZNZG9vT7q6us1aZf9Jas6iWPUXACIiysrKoj59+pCBgQE5OTnRwYMH1equqKiIxowZQ23atCGpVEodOnSgkJAQunPnjui4TZ3z2tpaWrlyJTk7O5NEIiErKyvy8/OjEydOENE/izXdvn1b2OfixYsEgPLz84WwxYsXU5s2bUgul1NgYCB9/PHHosWaiFrel92+fVtt8TFN7ayhlq4Sr1KpKDw8nOzs7EgikZC7uzsdOHBAtE9aWhr169ePDA0NycLCgkJCQkSLlmlaRIg9nsTERAJAAwYMEIW3dNG57du3k1KpJKlUSp6enhQbG8vfm4+A+7EHtKEfa1iHD+ufampqKDQ0lCwsLKht27a0dOlS0blKSEggLy8vMjc3JyMjI3Jzc6MdO3Y0u36fN0315zU1NTR//nxSKpUkkUjIxsaG3n33XUpLSyOi5l3bl5SUCNc4dW2juW0nOjqaXF1dSSKRULt27Wj58uWiY924cYPefPNNkslk1KlTJ9q/f79o0bmNGzdSt27dSCaTkUKhoP79+9OFCxeE/e/evUtTp04lW1tbYUwzatQo0WLIzwMdosdYgYwxxp6QoKAglJWVqf0+J3t+8TlnjP3bcT/GGGttPCWeMcYYY4wxxhjTQjxgZ4wxxhhjjDHGtBBPiWeMMcYYY4wxxrQQ32FnjDHGGGOMMca0EA/YGWOMMcYYY4wxLcQDdsYYY4wxxhhjTAvxgJ0xxhhjjDHGGNNCPGBnjDHGGGOMMca0EA/YGWOMMcYYY4wxLcQDdsYYY+wJKygogI6ODvz9/RuNEx8fDx0dHUyaNOkp5uzpUiqV0NHRafaroKDgWWeZMcYYe6b0n3UGGGOMMfZimDFjBsrKykRhW7ZsQWFhIaZPnw4zMzPRtobvGWOMsRcND9gZY4wx9lTMmDFDLSw+Ph6FhYWYMWMGlErlU88TY4wxps14SjxjjDGm5QoLCxEcHAw7OzsYGBjg5ZdfRnBwMK5du6YWV6lUNjrwfeONN6CjoyMKq6qqwjfffAN3d3eYmppCJpNBqVRi+PDhSE1NVUtj9+7d6N+/P8zNzWFoaIguXbrg66+/hkqlapWy5uTkQFdXFwMGDNC4vby8HHK5HJ07dxbCgoKCoKOjg7y8PHz11Vfo1KkTDA0N0b59eyxYsAD379/XmNbJkycREBCANm3aQCqVolOnTvj8889x7969VikLY4wx9rj4DjtjjDGmxbKzs9GnTx/cvHkTAQEBeOWVV5Ceno6IiAjs2bMH//vf/+Dk5PTI6QcGBuKXX36Bm5sbxo4dC6lUiuvXr+P48eNITk6Gu7u7EHfOnDlYtmwZ7Ozs8N5778HU1BQJCQmYPXs2zpw5g507dz52eTt16oR+/frh0KFDuH79Ouzt7UXbt2/fjsrKSowfP15t3xkzZuDUqVMYPnw45HI59uzZg7CwMKSlpSE6OloUd/369fjwww9hZmaGgIAAtG3bFufOncPixYtx/PhxHD9+HAYGBo9dHsYYY+xx8ICdMcYYe0pyc3MRHh6ucVtjC6xNmjQJN2/exPfff48JEyYI4evWrcOHH36I0NBQxMXFPVJ+7ty5g507d6JHjx44c+YM9PT0hG0qlQrl5eXC+yNHjmDZsmXw8/NDTEwMZDIZAICIMHnyZGzYsAExMTEYMmTII+WlvokTJ+LYsWOIiIhAWFiYaNvmzZthYGCAwMBAtf2SkpKQmpqKl19+GQCwePFi+Pr6IiYmRpS3K1euYNq0aXBzc0NcXBwsLS2FNJYtW4Y5c+ZgzZo1+Oijjx67LIwxxthjIcYYY4w9Ufn5+QSgWa+JEycK+xUWFhIAcnV1pdraWlGaKpWKOnfuTADo2rVrQriDgwM5ODhozIeXlxfV/+q/c+cOAaDXXntNLf2G3nnnHQJAhYWFatvKyspIR0eHhgwZ0pzq0Jin/Px8Iaympoasra3JwcGBVCqVEJ6amkoAaNiwYaI0AgMDCQAtWrRILf2EhAQCQAMHDhTCpk2bRgDo5MmTavFVKhVZWVlRjx49WlwWxhhjrLXxHXbGGGPsKfHz88PBgwc1bouPj0e/fv1EYSkpKQAALy8vtWfPdXV18frrryMzMxMpKSlqU8ebQ6FQYMCAAdi/fz88PDwwbNgwvPHGG+jZsyckEokoblJSEmQyGSIiIjSmZWRkhMzMzBbnQROJRIKxY8di2bJlOHz4sPBzeJs2bQIAhISEaNyvb9++amGenp7Q19fHxYsXhbCkpCQAwKFDhzTOTpBIJK1WFsYYY+xx8ICdMcYY01J3794FAFhbW2vcbmNjI4r3KHbu3IklS5Zg+/btmDt3LoAHA/mxY8diyZIlMDY2BgD8+eef+Pvvv/HFF180mlZlZeUj56OhCRMm4Msvv8TmzZvh7++PqqoqbNu2De3bt4ePj4/GfTTVk56eHiwtLXHnzh0h7M8//wTwYMo8Y4wxps14lXjGGGNMSykUCgDAH3/8oXF7cXGxKB7w4M7733//rTF+/UFrHWNjYyxatAh5eXnIy8vDDz/8AGdnZ6xatQozZ84U5cXS0hJE1OgrPz//kcvaUPv27fHmm28iNjYWJSUliImJwe3btxEcHKw226COpnpSqVQoLS2FqampqCzAg390NFUexhhj7FnjATtjjDGmpbp16wbgwc+PNRxAEhFOnjwpigcA5ubmKCkpURu0V1ZWIicnp8njtW/fHuPGjcOJEycgl8sRGxsrbOvVqxdKS0sfmkZrmjhxIu7fv4+oqChs3rwZenp6GDt2bKPxExIS1MJOnz6Nv//+G927dxfCevXqBeCfqfGMMcaYtuIBO2OMMaal2rVrh379+uHy5ctqz45v3LgRGRkZ8Pb2Fj2/3rNnT9y/fx/btm0TwogIc+bMUZuyfvPmTaSnp6sd9/bt26iuroahoaEQNm3aNADAuHHjUFpaqrZPcXExMjIyHq2gjQgICICtrS2+/fZbnDhxAm+//TZsbW0bjb9q1Sr89ttvwvuamhphmn9QUJAQPnnyZOjr62Pq1Kkaf8u+rKxM9Mw7Y4wx9qzwM+yMMcaYFlu/fj369OmDkJAQ7NmzB66urrh8+TJiY2NhZWWF9evXi+JPmTIFkZGRGD9+PI4cOQIrKyskJCSgrKwM7u7uSE1NFeLeuHED3bt3h7u7O9zc3GBnZ4fS0lLs3r0b9+/fx6xZs4S4/v7+mDdvHhYuXIiOHTvC398fDg4OKC0tRW5uLhISErBo0SK4uLi0Wtn19fURHByMhQsXAmh8sbk6//d//wd3d3eMGDECMpkMe/bsQVZWFt577z3Rz8116dIF69atQ2hoKJydnTFgwAA4OjqivLwceXl5OHHiBIKCgrBhw4ZWKwtjjDH2KPgOO2OMMabFnJ2dce7cOQQFBeHs2bNYvnw5kpOTMXbsWCQnJ8PJyUkUv0uXLjh48CB69OiB6Oho/Pjjj3B1dUViYiLMzMxEcZVKJcLDw2FqaoqjR49ixYoV2LdvHzw8PHDgwAF8+OGHovgLFizAkSNH0LdvX8TFxWHFihXYu3cvqqurER4ejlGjRrV6+et+b93Ozg5vvfVWk3FXrlyJjz/+GEeOHMHq1atRVVWF8PBw/Pzzz2pxQ0JCcPr0aQwePBhJSUlYuXIloqOjcevWLcycORMzZsxo9bIwxhhjLaVDvKoKY4wxxrRUdHQ0hg0bhnnz5mHBggUa4wQFBSEqKgr5+flQKpVPN4OMMcbYE8R32BljjDGmlYgI33zzDfT19R86HZ4xxhh7HvEz7IwxxhjTKpcuXcLevXuRmJiIpKQkTJw4UbSwHmOMMfai4AE7Y4wxxrTK+fPn8dlnn8HU1BSjR4/G119//ayzxBhjjD0T/Aw7Y4wxxhhjjDGmhfgZdsYYY4wxxhhjTAvxgJ0xxhhjjDHGGNNCPGBnjDHGGGOMMca0EA/YGWOMMcYYY4wxLcQDdsYYY4wxxhhjTAvxgJ0xxhhjjDHGGNNCPGBnjDHGGGOMMca0EA/YGWOMMcYYY4wxLfT/YXJuQ4dpTEUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "sns.violinplot(x='normalize_house_type', y='price', data=data_for_EDA, inner='quartile')\n",
    "plt.title('House Price Distribution by House Type (Violin Plot)',fontsize=18)\n",
    "plt.xlabel('House Type', fontsize=14)\n",
    "plt.ylabel('Price', fontsize=14)\n",
    "plt.xticks(rotation=0, fontsize=10)  \n",
    "plt.yticks(fontsize=10)  \n",
    "plt.grid(linestyle='--') \n",
    "plt.show()\n",
    "\n",
    "# House Price Distribution by House Type (Box Plot)\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.boxplot(x='normalize_house_type', y='price', data=data_for_EDA)\n",
    "plt.title('House Price Distribution by House Type (Box Plot)', fontsize=18)\n",
    "plt.xlabel('House Type', fontsize=14)\n",
    "plt.ylabel('Price', fontsize=14)\n",
    "plt.xticks(rotation=0, fontsize=10)  \n",
    "plt.yticks(fontsize=10)  \n",
    "plt.grid(linestyle='--') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Avg house prices by House Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "house_type_price_mean = data_for_EDA.groupby('normalize_house_type')['price'].mean().sort_values(ascending=False)\n",
    "house_type_price_mean_df = house_type_price_mean.reset_index()\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(x='normalize_house_type', y='price', data=house_type_price_mean_df, palette='Set2')\n",
    "plt.title('Average House Price by House Type', fontsize=18)\n",
    "plt.xlabel('House Type', fontsize=14)\n",
    "plt.ylabel('Price', fontsize=14)\n",
    "plt.xticks(rotation=45, fontsize=10)  \n",
    "plt.yticks(fontsize=10)  \n",
    "plt.grid(linestyle='--') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(x=house_size_price_mean.index, y=house_size_price_mean.values, palette='viridis')\n",
    "plt.title('Average House Price by House Size (Bar Plot)', fontsize=18)\n",
    "plt.xlabel('House Size (Round down to 1000)', fontsize=14)\n",
    "plt.ylabel('Average Price', fontsize=14)\n",
    "plt.xticks(rotation=0, fontsize=10)  \n",
    "plt.yticks(fontsize=10)  \n",
    "plt.grid(linestyle='--') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "sns.scatterplot(x='house_size_1000', y='price', data=data_for_EDA, color='blue')\n",
    "plt.title('House Size vs Price (Scatter Plot)', fontsize=18)\n",
    "plt.xlabel('House Size (Round down to 1000)', fontsize=14)\n",
    "plt.ylabel('Price', fontsize=14)\n",
    "plt.xticks(rotation=0, fontsize=10)  \n",
    "plt.yticks(fontsize=10)  \n",
    "plt.grid(linestyle='--') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "House price by location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.scatter(data_for_EDA['longitude'], data_for_EDA['latitude'], c=data_for_EDA['price'], cmap='viridis', alpha=0.5)\n",
    "plt.colorbar(label='Price')\n",
    "plt.xlabel('Longitude', fontsize=14)\n",
    "plt.ylabel('Latitude', fontsize=14)\n",
    "plt.title('House Prices by Location', fontsize=18)\n",
    "plt.xticks(fontsize=10)\n",
    "plt.yticks(fontsize=10)\n",
    "plt.grid('--')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bathroom_price_mean = data_for_EDA.groupby('numBathrooms')['price'].mean()\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(x=bathroom_price_mean.index, y=bathroom_price_mean.values, palette='viridis')\n",
    "plt.title('Average House Price by Number of Bathrooms', fontsize=18)\n",
    "plt.xlabel('Number of Bathrooms', fontsize=14)\n",
    "plt.ylabel('Average Price', fontsize=14)\n",
    "plt.xticks(rotation=0, fontsize=10)\n",
    "plt.yticks(fontsize=10)\n",
    "plt.grid(linestyle='--')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "sns.boxplot(x='isNegotiable', y='price', data=data_for_EDA)\n",
    "plt.title('House Price by Negotiability', fontsize=18)\n",
    "plt.xlabel('Negotiability', fontsize=14)\n",
    "plt.ylabel('Price', fontsize=14)\n",
    "plt.xticks(ticks=[0, 1], labels=['Not Negotiable', 'Negotiable'], fontsize=10)  \n",
    "plt.xticks(rotation=0, fontsize=10)\n",
    "plt.yticks(fontsize=10)\n",
    "plt.grid(linestyle='--')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "sns.countplot(x='Status', data=data_for_EDA, palette='Set3')\n",
    "plt.title('House Distribution by Status', fontsize=18)\n",
    "plt.xlabel('Status', fontsize=14)\n",
    "plt.ylabel('Count', fontsize=14)\n",
    "plt.xticks(rotation=0, fontsize=10)\n",
    "plt.yticks(fontsize=10)\n",
    "plt.grid(linestyle='--')\n",
    "plt.show()\n",
    "\n",
    "# House Distribution by Status (Pie plot)\n",
    "status_counts = data_for_EDA['Status'].value_counts()\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.pie(status_counts, autopct='%1.1f%%', startangle=140)\n",
    "plt.title('House Distribution by Status')\n",
    "plt.axis('equal')\n",
    "plt.legend(loc='lower left', bbox_to_anchor=(0.8, 0.2),labels=status_counts.index)  \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(x='date_type', data=data_for_EDA, palette='viridis')\n",
    "plt.title('Distribution of Date Types')\n",
    "plt.xlabel('Date Type')\n",
    "plt.ylabel('Count')\n",
    "plt.xticks(rotation=0)\n",
    "plt.grid('--')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Prediction of house price(regression model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.metrics import mean_squared_error, r2_score, accuracy_score\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.metrics import make_scorer, mean_squared_error\n",
    "from sklearn.preprocessing import LabelEncoder,StandardScaler, OneHotEncoder\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.feature_selection import SelectFromModel\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "import xgboost as xgb\n",
    "import lightgbm as lgb\n",
    "from xgboost import XGBRegressor\n",
    "from lightgbm import LGBMRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selected features: Index(['location_Central Ridge Reserve Forest', 'location_DLF Farms',\n",
      "       'normalize_house_type_Independent Floor', 'house_size', 'latitude',\n",
      "       'longitude', 'numBathrooms', 'SecurityDeposit'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "X = data_for_model.drop(columns=['price'])\n",
    "y = data_for_model['price']\n",
    "\n",
    "numerical_features = X.select_dtypes(include=['int64', 'float64']).columns\n",
    "categorical_features = X.select_dtypes(include=['object']).columns\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "X_train_df = pd.DataFrame(X_train, columns=X.columns)\n",
    "X_test_df = pd.DataFrame(X_test, columns=X.columns)\n",
    "\n",
    "feature_selector = SelectFromModel(RandomForestRegressor())\n",
    "\n",
    "# Define the pipeline including feature selector and model\n",
    "pipeline = Pipeline([\n",
    "    ('feature_selector', feature_selector),\n",
    "    ('regressor', RandomForestRegressor())\n",
    "])\n",
    "\n",
    "pipeline.fit(X_train_df, y_train)\n",
    "\n",
    "X_train_selected = pipeline.named_steps['feature_selector'].transform(X_train_df)\n",
    "X_test_selected = pipeline.named_steps['feature_selector'].transform(X_test_df)\n",
    "\n",
    "selected_feature_indices = pipeline.named_steps['feature_selector'].get_support(indices=True)\n",
    "selected_features = X_train_df.columns[selected_feature_indices]\n",
    "\n",
    "print(\"Selected features:\",selected_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_selected_df = pd.DataFrame(X_train_selected, columns=selected_features)\n",
    "X_test_selected_df = pd.DataFrame(X_test_selected, columns=selected_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines\n",
      "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000220 seconds.\n",
      "You can set `force_row_wise=true` to remove the overhead.\n",
      "And if memory is not enough, you can set `force_col_wise=true`.\n",
      "[LightGBM] [Info] Total Bins 1025\n",
      "[LightGBM] [Info] Number of data points in the train set: 10419, number of used features: 6\n",
      "[LightGBM] [Info] Start training from score 112792.609463\n"
     ]
    },
    {
     "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>Model</th>\n",
       "      <th>RMSE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LinearRegression</td>\n",
       "      <td>72935.747305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>XGBRegressor</td>\n",
       "      <td>43504.364745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DecisionTreeRegressor</td>\n",
       "      <td>41786.904732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RandomForestRegressor</td>\n",
       "      <td>35498.774157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LGBMRegressor</td>\n",
       "      <td>39207.766326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>GradientBoostingRegressor</td>\n",
       "      <td>41837.184469</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Model          RMSE\n",
       "0           LinearRegression  72935.747305\n",
       "1               XGBRegressor  43504.364745\n",
       "2      DecisionTreeRegressor  41786.904732\n",
       "3      RandomForestRegressor  35498.774157\n",
       "4              LGBMRegressor  39207.766326\n",
       "5  GradientBoostingRegressor  41837.184469"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linear_pipeline = Pipeline([\n",
    "    ('regressor', LinearRegression())\n",
    "])\n",
    "\n",
    "xgb_pipeline = Pipeline([\n",
    "    ('regressor', XGBRegressor())\n",
    "])\n",
    "\n",
    "cart_pipeline = Pipeline([\n",
    "    ('regressor', DecisionTreeRegressor())\n",
    "])\n",
    "\n",
    "rf_pipeline = Pipeline([\n",
    "    ('regressor', RandomForestRegressor())\n",
    "])\n",
    "\n",
    "lgbm_pipeline = Pipeline([\n",
    "    ('regressor', LGBMRegressor())\n",
    "])\n",
    "\n",
    "gb_pipeline = Pipeline([\n",
    "    ('regressor', GradientBoostingRegressor())\n",
    "])\n",
    "\n",
    "results = []\n",
    "\n",
    "for pipeline in [linear_pipeline, xgb_pipeline,cart_pipeline, rf_pipeline, lgbm_pipeline, gb_pipeline]:\n",
    "    pipeline.fit(X_train_selected_df, y_train)\n",
    "    y_pred = pipeline.predict(X_test_selected_df)\n",
    "    mse = mean_squared_error(y_test, y_pred)\n",
    "\n",
    "    results.append({\n",
    "        \"Model\": pipeline.named_steps['regressor'].__class__.__name__,\n",
    "        \"RMSE\": mse**0.5\n",
    "    })\n",
    "\n",
    "results_df = pd.DataFrame(results)\n",
    "results_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model (BEST RMSE) : RandomForestRegressor\n"
     ]
    }
   ],
   "source": [
    "min_rmse_model = results_df[results_df['RMSE'] == results_df['RMSE'].min()]\n",
    "print('Model (BEST RMSE) :', min_rmse_model['Model'].values[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Evaluating randomforestregressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(random_state=100)</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 fitted 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 fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;RandomForestRegressor<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>RandomForestRegressor(random_state=100)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestRegressor(random_state=100)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=100)\n",
    "\n",
    "model = RandomForestRegressor(random_state=100)\n",
    "model.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train_RMSE : 14283.25\n",
      "test_RMSE : 48624\n"
     ]
    }
   ],
   "source": [
    "train_pred = model.predict(X_train)\n",
    "test_pred = model.predict(X_test)\n",
    "print('train_RMSE :',round(mean_squared_error(y_train,train_pred)**0.5,2))\n",
    "print('test_RMSE :',round(mean_squared_error(y_test,test_pred)**0.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>actual</th>\n",
       "      <th>pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1232</th>\n",
       "      <td>50000</td>\n",
       "      <td>44994.510823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11478</th>\n",
       "      <td>301022</td>\n",
       "      <td>326736.670000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6357</th>\n",
       "      <td>30000</td>\n",
       "      <td>29960.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1471</th>\n",
       "      <td>27000</td>\n",
       "      <td>27300.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3367</th>\n",
       "      <td>47000</td>\n",
       "      <td>56070.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7952</th>\n",
       "      <td>20000</td>\n",
       "      <td>22893.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5005</th>\n",
       "      <td>15500</td>\n",
       "      <td>14404.216765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7557</th>\n",
       "      <td>20000</td>\n",
       "      <td>20850.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8137</th>\n",
       "      <td>12000</td>\n",
       "      <td>12884.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2088</th>\n",
       "      <td>89000</td>\n",
       "      <td>90480.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2605 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       actual           pred\n",
       "1232    50000   44994.510823\n",
       "11478  301022  326736.670000\n",
       "6357    30000   29960.000000\n",
       "1471    27000   27300.000000\n",
       "3367    47000   56070.000000\n",
       "...       ...            ...\n",
       "7952    20000   22893.333333\n",
       "5005    15500   14404.216765\n",
       "7557    20000   20850.000000\n",
       "8137    12000   12884.000000\n",
       "2088    89000   90480.000000\n",
       "\n",
       "[2605 rows x 2 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comparison = pd.DataFrame({'actual': y_test, 'pred': test_pred})\n",
    "comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ed999TsA5ZMiQCu9x1113VXhueHi4E3B27tzZ+e6777qvHWrOnDlOwJmcnFyrn09VZsyY4dWHM888s8rHjhs3zuuxsbGxzsTERK+2gQMHOgsLC+vUB9dYAOeOHTvq9FzX85YsWVLt40pLS53XXHNNhf43b97caTabvdr/+usvr+fa7XbnFVdc4b5uNpudzZs3d1osFifgvOSSS9w/m3HjxtWp/yIiEpo0I18Pv/76K3a7nR49engtwfz+++/d+9wcDgelpaW8/fbbDBo0iKFDhzJ79myWLFnitc9SREQaj2s2PiEhgeHDh9fqOX369OHoo4/2ej4YR63NmzePL7/8klGjRtG+fXtKSkoICwujb9++3Hzzzbz66qsVXu/jjz/m1ltvpUePHpSVlbFz50527txZYbn9Qw89xDvvvMMpp5xCs2bNsNvtpKSk8Morr/DJJ59UW019+vTpvP3225x00klER0dTVlZGt27duOeee0hLS6N9+/a1Gnt9jB07lvDwcPffqytyd//99zNjxgxGjRrFUUcdRVhYGIWFhbRu3ZozzjiDN954g6VLl1Z5RJw/RURE8Nprr7Fq1SrGjx9P165dsdvt7v4PHTqUBx54gA0bNlQ4as5sNvP222/z9ttvc8oppxAdHY3NZuO4447jlVdeafAtECIiEnxMTmc9D2RtQkwmE/Pnz+f8888H4IMPPuCyyy7jt99+q/APqdjYWNq2bcu0adN47LHHKCsrc18rLi4mJiaGhQsXaq+8iIiIiIiI1EmYvzsQzFJTU7Hb7ezfv59BgwZV+pgBAwZgs9nYtm0bXbt2BYzCQwDJycmN1lcREREREREJDZqRr0FhYSHp6emAkbg/++yzDBs2jBYtWtCxY0cuv/xyVq5cyTPPPENqaiqZmZl899139O3bl5EjR+JwODjxxBOJjY3l+eefx+FwcNNNNxEfH8/ChQv9PDoREREREREJNkrka7B06VKGDRtWoX3cuHG8+eablJWV8cgjj/D222/z999/k5SUxCmnnMJDDz1Enz59ANi9ezeTJ09m4cKFNGvWjLPPPptnnnmmykrDIiIiIiIiIlVRIi8iIiIiIiISRFS1XkRERERERCSIKJEXERERERERCSKqWl8Fh8PB7t27iYuLw2Qy+bs7IiIiIiIiEuKcTicFBQW0b98es7nqeXcl8lXYvXs3HTp08Hc3REREREREpInZtWsXRx55ZJXXlchXIS4uDjB+gPHx8X7uTeXKyspYuHAhw4cPJzw83N/dEfErxYOIQbEg4qF4EPFQPASH/Px8OnTo4M5Hq6JEvgqu5fTx8fEBncjHxMQQHx+vYJQmT/EgYlAsiHgoHkQ8FA/Bpabt3Tp+rgr5+fkkJCSQl5cXsIm8a/+E9vGLKB5EXBQLIh6KBxEPxUNwqG0eqqr1QS46OtrfXRAJGIoHEYNiQcRD8SDioXgIHUrkg5jNZmPBggXYbDZ/d0XE7xQPIgbFgoiH4kHEQ/EQWpTIi4iIiIiIiAQRJfIiIiIiIiIiQUSJvIiIiIiIiEgQUdX6KgRL1XqbzUZYWJgqT0qTp3gQMSgWRDwUDyIeiofgoKr1TURxcbG/uyASMBQPIgbFgoiH4kHEQ/EQOpTIBzGbzcaSJUtUeVIExYOIi2JBxEPxIOKheAgtSuRFREREREREgogSeREREREREZEgokQ+yIWFhfm7CyIBQ/EgYlAsiHgoHkQ8FA+hQ1XrqxAMVetFREREREQkdKhqfRPgcDjYv38/DofD310R8TvFg4hBsSDioXgQ8VA8hBYl8kHMbrezevVq7Ha7v7si4neKBxGDYkHEQ/Eg4tFU4yGvyMq2/YWkZeSwLbOQvCKrv7vkE9okISIiIiIiIiFnd24xd83bwPKtWe62wd2TmD66L+0To/3Ys/rTjLyIiIiIiIiElLwia4UkHmDZ1izunrch6GfmlcgHMZPJRFxcHCaTyd9dEfE7xYOIQbEg4qF4EPFoavGQVWitkMS7LNuaRVZhcCfyqlpfBVWtFxERERERCU5pGTmMmrWqyuuf3tiflI7NG7FHtaOq9U2Aw+Fg586dqjwpguJBxEWxIOKheBDxaGrxEB8VXu31uBquBzol8kHMbrezbt26Jld5UqQyigcRg2JBxEPxIOLR1OIhKTaCwd2TKr02uHsSSbERjdwj31IiLyIiIiIiIiElISaC6aP7VkjmB3dP4onRfUmICe5EXsfPiYiIiIiISMhpnxjNzLGpZBVaKSgpIy4qnKTYiKBP4kGJfFAzmUy0atWqyVSeFKmO4kHEoFgQ8VA8iHg01XhIiAmNxP1QqlpfBVWtFxERERERkcakqvVNgN1uZ/PmzU2mYIVIdRQPIgbFgoiH4kHEQ/EQWpTIBzGHw8GWLVuazBESItVRPIgYFAsiHooHEQ/FQ2hRIi8iIiIiIiISRJTIi4iIiIiIiAQRJfJBzGw207FjR8xmfYwiigcRg2JBxEPxIOKheAgtqlpfBVWtFxERERERkcakqvVNgN1uJy0tTZUnRVA8iLgoFkQ8FA8iHoqH0KJEPog5HA4yMjJUeVIExYOIi2JBxEPxIOKheAgtSuRFREREREQk9DidsHgxDBsGkZGwdq2/e+QzYf7ugIiIiIiIiIjP2O0weTL89BP8/LOnPYTKwymRD2Jms5mePXuq8qQIigcRF8WCiIfiQcSjScRDaSlcdBF88YWnLTISrrkG7rgDkpP91zcfU9X6KqhqvYiIiIiISBAoLYV33oFrr/Vuj42FrVuhbVv/9OswqGp9E2Cz2Vi1ahU2m83fXRHxO8WDiEGxIOKheBDxCMl4KCiAZ5+Frl29k/jwcNi2zbgeREl8XWhpfRBzOp1kZmaiRRUiigcRF8WCiIfiQcQjpOIhNxdeegmefx6ysoy29u3hppvg6quhTRt/9q5RKJEXERERERGRwLdxI/Tp490WHw9PPQXjxhn74ZsILa0XERERERGRwLVyJZhM3kl8r17w7ruQnQ0TJzapJB6UyAc1i8VCSkoKFovF310R8TvFg4hBsSDioXgQ8QjKePjjD2Op/MCB3u033AAbNsCll0JY01xkrqr1VVDVehERERERET9Ytw7uuw8WLPA++33qVHj0UWN2PkSpan0TYLPZWLx4cWhVnhQ5TIoHEYNiQcRD8SDiERTxsHIljBwJqanw1VdGEn/eebB6tfH/H3sspJP4umia6xBChNPppKCgIDQqT4rUk+JBxKBYEPFQPIh4BGw8OJ1w553w9NOeNrMZzj7bSNz79vVf3wKYEnkRERERERFpXA4HXHUVvPWWd/u11xqJfbdu/ulXkFAiLyIiIiIiIo3DZoO5c2H6dNi0yfva6tVwyin+6VeQUSIfxCwWC/369QuuypMiDUTxIGJQLIh4KB5EPPweDyUlMGcO3H035Od7X9u0CY4+2j/9ClKqWl8FVa0XERERERGpp7174e234bnnjP8P0KoVTJliHCOXkODf/gUYVa1vAsrKyvjqq68oKyvzd1dE/E7xIGJQLIh4KB5EPBo9HtLTjQrz7drBXXcZSXyHDkZRuz//NGbmlcQfNi2tD3IBfXyESCNTPIgYFAsiHooHEY9GiYc9e6B9+4rtb7wBl10GEREN34cmQDPyIiIiIiIiUj87dsCNN0Lnzt7to0dDaSlMmKAk3oc0Iy8iIiIiIiKHZ9MmowL9O+942nr3hsGDYeZM40x48TkVu6tCMBS7czqdFBQUEBcXh8lk8nd3RPxK8SBiUCyIeCgeRDx8Hg//93/w4YeweLGn7Ywz4N57jSReMXdYapuHakY+yEVHR/u7CyIBQ/EgYlAsiHgoHkQ86h0PTic88gg88IB3+wUXwD33wPHH1+/1pda0ziGI2Ww2FixYoCIuIigeRFwUCyIeigcRj3rFg9MJCxYYy+QPTeJ/+w3mzVMS38iUyIuIiIiIiEhFdju89x6kpsLIkd7XvvvOSPCPOcY/fWvitLReREREREREPKxW+O9/jSJ2W7cabc2awfXXG0fIpab6t3+iRF5ERERERESA7Gzo3x/++MO7fdo0uPlmaNHCP/2SCgJuaf1PP/3EpEmT6NWrF82aNaNjx46MGTOGPw79ZapCbm4uEydOpFWrVjRr1oxhw4axdu3aBu61f4SFhTFixAjCwnQ/RkTxIGJQLIh4KB5EPKqNh127ICEBkpI8SXzbtvDUU5CfDw8+qCQ+wARcIv/EE08wb948TjvtNF544QUmTpzIsmXLOO6449i4cWO1z3U4HIwcOZL33nuPSZMm8eSTT7J//36GDh3KVteSkBBTXFzs7y6IBAzFg4hBsSDioXgQ8agQD5mZcN990LGjkbC7HHcc7NgBt98OcXGN20mplYBL5KdMmcLOnTuZMWMG11xzDffddx/Lly/HZrMxffr0ap/78ccfs2rVKt58802mTZvGTTfdxNKlS7FYLEybNq2RRtB4bDYbS5YsUSVWERQPIi6KBREPxYOIh1c8/PUXTJwInTrBo496HjR8OBQVwS+/QFSU3/oqNQu4RL5///5ERER4tXXv3p1evXrx+++/V/vcjz/+mDZt2nDBBRe421q1asWYMWP47LPPKC0tbZA+i4iIiIiIBLpme/Zguf566NIFXnvNSNqPPx4++QRsNvjmG6jvWfPSKIJiw5DT6WTfvn306tWr2selpaVx3HHHYTZ735846aSTePXVV/njjz/o06dPpc8tLS31SvTz/1laUlZWRllZGQBmsxmLxYLdbsfhcLgf62q32Ww4nU53u8ViwWw2V9nuel0X136VQ+8aV9XuUv51TCYTYWFhOBwO7HZ7hfaq+h4oYwoPD6+y7xqTxlSbMbn+N5TGVFPfNSaNqfyYysdCqIwpFD8njalxxlT+9UJlTOX7rjFpTLUdk2nuXMLHjeP0cn12HH88jmnTsIwcCSaTMaZy7xvoY4LQ+5wAr8dUJygS+XfffZe///6bhx9+uNrH7dmzh8GDB1dob9euHQC7d++uMpF//PHHeeihhyq0L1y4kJiYGAA6duxIamoqGzZsICMjw/2Ynj17ctRRR7FmzRoyMzPd7SkpKSQnJ7Ns2TIKCgrc7f369aN169YsXLjQ65dr2LBhREdHs2DBAq8+jBgxguLiYpYsWeJuCwsLY/jw4ZjNZhYtWuRuj4uL49RTT2XXrl2sW7fO3d6qVSv69+/P1q1b2bJli7s90MY0cuRIsrKyWL16tcakMdVpTK4+uuIhFMYUip+TxtR4Y1q0aFHIjQlC73PSmBp+TC6hNKZQ/Jw0poYZU4fPPqPva695jWHvCSewdfRoDhx9NDgcjLDbg2pMofg5lR/T8ccfT22YnLVN+f1k8+bNnHzyyfTq1Yvly5djsViqfKzFYuG6665j1qxZXu2LFy/mtNNOY/78+Zx//vmVPreyGfkOHTqQlZVFfHw8oDtKGpPGpDFpTBqTxqQxaUwak8akMQX4mMxmzEuX4nj0UczlElkA55w52C67LPjGFIqfUxVjKioqIjExkby8PHceWpmATuT37t3LgAEDKCsr44cffqB9+/bVPj42NpaLL76Y2bNne7UvWLCAkSNH8vXXX3PmmWfW6r3z8/NJSEio8QfoTw6Hg6ysLJKSkjCbA67cgUijUjyIGBQLIh6KB2lSHA744gu44w449MSuL77AMWKE4iEI1DYPDdhPMC8vj7PPPpvc3Fy+/vrrGpN4MJbQ79mzp0K7q602rxFM7HY7q1ev9rpzJNJUKR5EDIoFEQ/FgzQJpaUwZw4ceyycf76RxEdFweTJsHMnOJ1wzjmKhxATkHvkS0pKOPfcc/njjz/49ttvOeaYY2r1vJSUFJYvX47D4fC6y/Tjjz8SExNDjx49GqrLIiIiIiIijaegAE47DX76ydMWFwfXXw+33AJHHOG/vkmDC7gZebvdzsUXX8zq1av56KOP6NevX6WP27NnD5s3b/baU3DhhReyb98+PvnkE3dbVlYWH330Eeeeey6RkZEN3n8REREREZEGc/AgnHwyxMd7J/H/+Q9kZMCTTyqJbwICbkb+tttu4/PPP+fcc8/lwIED/Pe///W6fvnllwMwdepU3nrrLXbs2EGnTp0AI5E/5ZRTmDBhAps2bSIpKYlZs2Zht9srrUgf7EwmE3FxcZhMJn93RcTvFA8iBsWCiIfiQUJKTg689BI8/zxkZ3vaO3eGH3+EVq2qfbriIbQEXLG7oUOH8v3331d53dXd8ePHV0jkAXJycrjjjjv49NNPKS4u5sQTT+Tpp5/mhBNOqFM/gqHYnYiIiIiIhLh9++C55+CJJzxtnTtDcjJ8/rmxnF5CRm3z0IBL5ANFMCTyDoeDXbt20aFDB1WelCZP8SBiUCyIeCgeJKgtX24k8P/7H5SUGG09e8KDD8KFF0JY3RZXKx6CQ9BXrZea2e121q1bp8qTIigeRFwUCyIeigcJSp9/DiYTDB4M8+cbSfzJJxvtmzbBJZfUOYkHxUOoCbg98iIiIiIiIk1OWhocd1zF9m+/hVNPNZJ7kX9oRl5ERERERMRfvv8eRoyomMTPmGGcAX/aaUripQLNyAcxk8lEq1atVHlSBMWDiItiQcRD8SABy+mEb76Bxx4z9sIDmM0wdqzxZ+RIn7+l4iG0qNhdFYKh2J2IiIiIiAQRmw2uvBLmzvVuv/xyo4hd165+6ZYEDhW7awLsdjubN29WwQoRFA8iLooFEQ/FgwSM4mJjiXx4uCeJj4mBW2+Fv/6Cd95p8CRe8RBalMgHMYfDwZYtW3A4HP7uiojfKR5EDIoFEQ/Fg/hdcTHMmmUk7YsXe1/bvh2efRaOOKJRuqJ4CC3aIy8iIiIiIuJL+flGkv7KK7Bvn6e9RQtYvx6OPNJ/fZOQoEReRERERETEF7KzjWrzM2ZAbq7R1rEj3HknTJhgzMyL+IAS+SBmNpvp2LEjZrN2SIgoHkQMigURD8WDNJpffoETTvBu69rV2AM/caKxN97PFA+hRVXrq6Cq9SIiIiIiUq3vvoPTT/du69XLqEA/ahRYLH7plgQvVa1vAux2O2lpaao8KYLiQcRFsSDioXiQBvPbb3DFFRWT+Jtvhg0b4MILAy6JVzyEFiXyQczhcJCRkaHKkyIoHkRcFAsiHooH8bmffoJhw6B3b/jvfz3tjz4KTie88AIE6NJ1xUNo0R55ERERERGRqjid8M038Mwz8O23nvYLL4SpU+G44/zXN2mylMiLiIiIiIgcyuGAG2+E//s/T5vFApdfDv/+N6Sk+KtnIkrkg5nZbKZnz56qPCmC4kHERbEg4qF4kMNit8Mtt8BLL3m3jx8P06ZBp07+6FW9KR5Ci6rWV0FV60VEREREmhCrFd55B6ZPh/R072tpaZqBl0ahqvVNgM1mY9WqVdhsNn93RcTvFA8iBsWCiIfiQWrl4EGjSF1sLFxzjZHEt2hhnAO/bZuxRz4EknjFQ2hRIh/EnE4nmZmZaFGFiOJBxEWxIOKheJBqZWQYiXunTsae97IyI5l/5hnYudNI6Lt08XcvfUbxEFq0R15ERERERJqO334zjo8rr3NnuOsuuPJKiI72T79E6kCJvIiIiIiIhL5du2DIENixw7v9pZdg4kQIU2okwUNL64OYxWIhJSUFi8Xi766I+J3iQcSgWBDxUDwIAJs3w9VXG3veyyfx48eDzWYcMdcEknjFQ2hR1foqqGq9iIiIiEgQW78eHn8cPvjA0zZsGFx4IdxwA5hM/uubSBVUtb4JsNlsLF68WJUnRVA8iLgoFkQ8FA9N1LPPGjPsKSmeJH7AAFi1ChYvNmbgm2ASr3gILUrkg5jT6aSgoECVJ0VQPIi4KBZEPBQPTYjTCXfeaSTot90GdrvRfsklsG4drFgB/fr5tYv+pngILaG/GUREREREREKTwwGffQYXXFDx2po1cOKJjd8nkUagGXkREREREQkuNhu89hr06VMxiV+1ypihVxIvIUwz8kHMYrHQr18/VZ4UQfEg4qJYEPFQPISgkhJ480148klPBfr4eJg0yfjTrp1fuxfIFA+hRVXrq6Cq9SIiIiIiAWLvXjjuONizx9OWlAQTJsC990JCgv/6JuJDqlrfBJSVlfHVV19RVlbm766I+J3iQcSgWBDxUDyEgG3bjAr07dp5kvioKHjhBdi505iZVxJfK4qH0KJEPsjp+AgRD8WDiEGxIOKheAhSe/YYVei7dfNUoAfjGLnMTLj5ZoiJ8V//gpTiIXRoj7yIiIiIiASGP/+E++6Djz+G0lJP+wUXwNy5EBHht66JBBLNyIuIiIiIiH9t3Ajjxhkz8O++ayTx/frBl18aR8zNm6ckXqQcFburQjAUu3M6nRQUFBAXF4fJZPJ3d0T8SvEgYlAsiHgoHoLAa6/BxInebWecAbfeCmedBfrcfEbxEBxqm4dqaX2Qi46O9ncXRAKG4kHEoFgQ8VA8BKjXX4drr/VuS0mBV1/V+e8NSPEQOrS0PojZbDYWLFigohUiKB5EXBQLIh6KhwDjdML//geDBlVM4j/8ENLSlMQ3IMVDaNGMvIiIiIiINBy7HebPh3//G/7+22iLiIDISKP9tNP82j2RYKREXkREREREfK+oCB591ChUt2WLp/2222DKFGjf3n99EwlySuRFRERERMR3DhwwznvfvNnT1ry5cfb7TTdBq1b+65tIiFDV+ioES9V6m81GWFiYKk9Kk6d4EDEoFkQ8FA+NLD8frr/eOO+9vGuugWefhbg4//RLAMVDsKhtHqpid0GuuLjY310QCRiKBxGDYkHEQ/HQCPbvh/vvh44dvZP4Pn0gJ8c4Yk5JfEBQPIQOJfJBzGazsWTJElWeFEHxIOKiWBDxUDw0sL//Nva6t2kDjzwCeXlw1FFw993G/vgNGyAx0d+9lH8oHkKL9siLiIiIiEjtLVwIl11mLKW3Wo22I46AF16AUaPArLlCkYamRF5ERERERGr2/vswdqx32+DBcM89MHw4aN+1SKNRIh/kwsL0EYq4KB5EDIoFEQ/Fgw/8+KORwO/Y4d3+9ttwxRX+6ZMcFsVD6FDV+ioEQ9V6EREREZEG4XTC//4HzzwDixd7X5s9G666yj/9EglxqlrfBDgcDvbv34/D4fB3V0T8TvEgYlAsiHgoHg6DwwFffAH9+8PIkUYSHxYG48cbxeucTiXxQUrxEFqUyAcxu93O6tWrsdvt/u6KiN8pHkQMigURD8VDHZSWwnnngcVi/O8PP0BUlFHULj0d5swxjpOToKV4CC3aJCEiIiIi0lQVFMDpp8OaNd7td90Ft95qHC0nIgFHibyIiIiISFNz8CC8+qpxDnx5kZGweTN06uSXbolI7SiRD2Imk4m4uDhMOupDRPEg8g/FgoiH4qESubnw6KPGUvnsbE97crIxK9+6td+6Jg1L8RBaVLW+CqpaLyIiIiIhY88emDEDXnrJWE4P0KUL3H03XHmlMRMvIn6nqvVNgMPhYOfOnao8KYLiQcRFsSDioXgAVqwAkwnat4fp040kvndveO012LIFrr1WSXwToXgILUrkg5jdbmfdunWqPCmC4kHERbEg4tGk42HlSiOBHzTIu/2zz2D9erjmGuNYOWkymnQ8hCAl8iIiIiIioSItDcaMgYEDvdvvvdc4I/6888CsFEAk2Ok2nIiIiIhIsFu50qhAf+gxcs8/D7fc4pcuiUjDUSIfxEwmE61atVLlSREUDyIuigURj5CPB6cT/u//YO5cWLbM037ppUYRuz59/Nc3CTghHw9NjKrWV0FV60VEREQkINlsMH48vPuupy083Gi77Tbo2dNfPRORelLV+ibAbrezefNmFawQQfEg4qJYEPEIuXgoK4OnnzaS9vJJfN++sH07vPqqknipUsjFQxOnRD6IORwOtmzZoiMkRFA8iLgoFkQ8QiYeiovh5ZehRw+44w7va7//blShP/JI//RNgkbIxIMASuRFRERERAJTQYExA9+8Odx4I/z5J7RqZSyh37XL2CN/1FH+7qWI+IGK3YmIiIiIBJKtW41j4vbtg5wcoy0iAp55Bq66CmJi/Ns/EfE7JfJBzGw207FjR8w6C1RE8SDyD8WCiEfQxcPatXD88d5tPXoYFegvu8xI5kUOU9DFg1RLVeuroKr1IiIiItIoduyAqVPhgw+822+7DZ54AiwW//RLRBqdqtY3AXa7nbS0NFWeFEHxIOKiWBDxCPh4SEuDK6+E7t29k/jJk8FuN/bHK4kXHwn4eJA6USIfxBwOBxkZGao8KYLiQcRFsSDiEbDx8PPPcMEFcNxx8M47RtJ+5pnwzTdGAbsZM0DLn8XHAjYe5LBoj7yIiIiISENzOuE//4Fp07zbhw6Fp56CE07wS7dEJDgpkRcRERERaSgOB0yaZJwDX96VV8Jdd8Exx/inXyIS1JTIBzGz2UzPnj1VeVIExYOIi2JBxMOv8WC3w7x5cO+9kJ7ufW3pUhgypPH7JE2avh9Ci6rWV0FV60VERESkzqxWY/b9pZeM8+DLW7sWUlP90y8RCQqqWt8E2Gw2Vq1ahc1m83dXRPxO8SBiUCyIeDRqPBw8CDNnQrdu8O9/G0l88+bw4IOQnW3skVcSL36k74fQoqX1QczpdJKZmYkWVYgoHkRcFAsiHr6Kh7wiK1mFVvJLyoiPDiepWQQJMRHGxYwM6N0bCgo8T2jbFm64AW69FeLi6vXeIr6i74fQokReRERERKQKu3OLuWveBpZvzXK3De6exJOntKBt7x4Vn/DKKzBuHERFNWIvRaSpUSIvIiIiIlKJvCJrhSS+bX4WQ19+lRY3fOP94DPPhE8/VQIvIo1CiXwQs1gspKSkYLFY/N0VEb9TPIgYFAsiHvWNh6xCqzuJT87ZzW3L/8t5vy/zftCVV8Ls2RCmf1ZLYNP3Q2jRf3GCmNlsJjk52d/dEAkIigcRg2JBxKO+8ZBfUsbQbT9xwW9LGLl5BRanA4DVHfvw0iljuP3JG0lJbuGr7oo0KH0/hBZVrQ9iNpuNxYsXq/KkCIoHERfFgohHveLhuedITW7Bmx8/xHm/L8PidPBd1xMZc+l0xo59nBWdU4mLjvB9p0UaiL4fQotm5IOY0+mkoKBAlSdFUDyIuCgWRDzqHA9OJ3zzDZx9doVLI8bPYFObLu6/D+6eRFKsEnkJHvp+CC1K5EVERESkaXM44Isv4LHHYM0ar0vZ78/j1sIj2HRI1fonRvf1HEEnItLIAi6RLyws5KmnnuLHH39kzZo15OTkMGfOHMaPH1/jc998800mTJhQ6bU9e/bQtm1bH/dWRERERIKWzQYffAAPPADbtxttUVFw2mkwdSoMGEBLYOY/58gXlJQRFxVOUmyEkngR8auAS+SzsrJ4+OGH6dixI8ceeyxLly6t82s8/PDDdO7c2astMTHRNx0MIBaLhX79+qnypAiKBxEXxYKIR5XxkJ8PF1wAO3Z4Engwkvd//xtat3Y35RVZyS0qo9Rmp8zhxKFlyRKk9P0QWgIukW/Xrp179vznn3/mxBNPrPNrnH322ZxwwgkN0LvAYjabaV3ui0akKVM8iBgUCyIeFeJh3z44/nj4+29PW1IS3Hor3HgjHDLxsye3mJ0Hipi5eCsr07Pd7YP+WVrfPjG6gUcg4jv6fggtAVe1PjIy0idL4AsKCrDb7T7oUeAqKyvjq6++oqyszN9dEfE7xYOIQbEg4uGOh/374cEHoW1b7yR+yBDYuRPuuadCEp9XZGXpH5kVkniA5VuzuHveBvKKrA0/CBEf0fdDaAm4RN4Xhg0bRnx8PDExMZx33nls3brV311qMDo+QsRD8SBiUCyI/CMjgx6zZxPWtSs89JCn/ZRTjOX1S5dCTEylT80qtNI6LrJCEu+ybGsWWYVK5CW46PshdATc0vr6iImJYfz48e5E/pdffuHZZ5+lf//+rF27lg4dOlT53NLSUkpLS91/z8/PB4w7V667VmazGYvFgt1ux+FwuB/rarfZbF7HOVgsFsxmc5Xth94NCwszPo5DA6yqdpfyr2MymQgLC8PhcHitSHC1V9X3QBlTeHh4lX3XmDSm2ozJ9b+hNKaa+q4xaUzlx1Q+FkJlTKH4OWlMDTym7dsxP/ssYbNn091qJNvOPn2wT56M89JLISLCGBNU2ffcohJKrGVEWox+2hxgd5qIMDsxmYzH5hQW40iK0eekMQXFmFyPqe1Yg2FMofw51SSkEvkxY8YwZswY99/PP/98zjzzTAYPHsyjjz7KK6+8UuVzH3/8cR4qf6f2HwsXLiTmnzu1HTt2JDU1lQ0bNpCRkeF+TM+ePTnqqKNYs2YNmZmZ7vaUlBSSk5NZtmwZBQUF7vZ+/frRunVrFi5c6PXLNWzYMKKjo1mwYIFXH0aMGEFxcTFLlixxt4WFhTF8+HAAFi1a5G6Pi4vj1FNPZdeuXaxbt87d3qpVK/r378/WrVvZsmWLuz3QxjRy5EiysrJYvXq1xqQx1WlMrj664iEUxhSKn5PG1HhjWrRoUciNCULvc9KYfDymsjLMo0Z5LTktbN+eqBdf5O/UVNatXw/fflurMR3cswPb/t08eZLR/r9dJr7+y8JVPR0cnWj8Q/vvX1fRyqLPSWMKjjENGjQI8M4dgn1Mofg5HX/88dSGyVnblN8PXMXuanv8XFX69etHZmYm6enpVT6mshn5Dh06kJWVRXx8PBB4d5TCwsLIy8sjJiYG0z+3hgPtjlIo3iXTmAJzTFarlcLCQmJjY93vGexjCsXPSWNq+DHZ7XZ3LFgslpAYUyh+ThqTb8dkmjOHsOuu83qM4/TTsd95JwXHHUfzFi1wOp11GtOBgmK++W0vX/+2hx+2H6gwI9+/SwvuOutoerRL0OekMQXFmCwWCwUFBURHR7tzh2AfUyh+TkVFRSQmJpKXl+fOQyvTJBL5MWPG8O2333LgwIFaPyc/P5+EhIQaf4D+5HQ6sdlshIWFeQWjSFOkeBAxKBakMeX9c756fkkZ8dHhJDVr5PPVly+HRx+Fb77xbn/5Zbj++nrHw86sg+zOK+bFJeneVeu7JTFhYCc6tWxGl1ax9R2FSKPQ90NwqG0eGpLF7g61fft2WrVq5e9u+JzNZmPBggUV7jSJNEWKBxGDYkEay+7cYibNTeO0Z79n1KxVnPbM90yem8bu3OKGfWOnEz7/HE46CQYP9k7i33/fuH799UD94yExJpy/coq566yj+HzSAN6feAofX9+P4zs1Z+6PGbRs1og3LUTqSd8PoSVo98jv2bOHvLw8unbtSnh4OACZmZkVEvYFCxbwyy+/cPPNN/ujmyIiIiIhJ6/Iyl3zNrB8a5ZX+7J/jmWbOTbV9zPzdjvMnw+PPQZpaUZbRARMmAB33AFdu/r2/YCEmAgGdEvi7nkbWFZurIP/OUe+UVcfiIiUE5CJ/Isvvkhubi67d+8G4IsvvuCvv/4CYPLkySQkJDB16lTeeustduzYQadOnQDo378/qampnHDCCSQkJLB27VreeOMNOnTowD333OOv4YiIiIiElKxCa4Uk3mXZ1iwOHLRSYnOQc9BKfomN+OgwmsdE0CY+qu5vVlQEI0caR8W5xMTA5ZfDAw/AEUcc3iBqqX1iNDPHppJVaKWgpIy4qHCSYht5C4GIyCECMpF/+umn2blzp/vvn3zyCZ988gkAl19+OQkJCZU+7+KLL+arr75i4cKFFBUV0a5dO6699lqmTZtGmzZtGqXvIiIiIqEuv6SsymtJscbRblM+XOe1r3xgt5Y8NqoPHVs2q92bFBfDiSfCb795t99/P9x8MyQlHU7XD0tCjBJ3EQksAV3szp9U7E4kuCgeRAyKBWkM2/YXctqz31d6bfa4E3hj5Q6vJN5lYLeWPDMmpfqZ+fx8eOUVePZZ2LfP096yJaxfX6cZeMWDiIfiITio2F0TUVzcwAVlRIKI4kHEoFiQhpYUG8Hg7pXPiLeNj6o0iQdYkZ5NzkFr5S+anQ333gsJCXDXXZ4k/phj4MAByMo6rGX0igcRD8VD6FAiH8RsNhtLlixR5UkRFA8iLooFaQwJMRFMH923QjI/uHsSB63V/+7llxxyPS0NpkyB5GSjkB1Az57w5ptgtRpL65s3P6x+Kh5EPBQPoSUg98iLiIiISGAzAWf3ace4/p0otTmIDDOzv6CUuKjwap8XH/XPPz8XLYLhw70vpqbCnXfCRReBxdIwHRcRCQFK5EVERESkTvKKrNxZyfFzAO9PPIWB3Vqyooo98kk7t0L7Eyq+6P/+B2eeCQG4dzevyEpWoZX8kjLio8NJaqbidyLiX0rkg1xYmD5CERfFg4hBsSANrbrj5ya9t5aPr+/PfZ/+6pXMX2nZx93zXyHm2i+9n/Doo9CAxwTXNx525xZz1yE3LQZ3T2L66L60T4yub/dEGpW+H0KHqtZXIRiq1ouIiIj4Q1pGDqNmrary+peT+tMqPpqcwlKcS5fS8eVnabZimXHRZIKBA+HKK+Gaa9zPCcRZ77wiK5PmplV602Jw9yRmjk31ex9FJLTUNg/VLZkg5nA4yMrKIikpCbNZdQulaVM8iBgUC9IY4mvYBx8dZqHNXbfS5scfjWJ2LuPGGRXpjz7a6/ENNetd33iobuXBsq1ZZBValchL0ND3Q2jRJxjE7HY7q1evxm63+7srIn6neBAxKBakMVR1/Fy4vYx53zxJ13YJxlnwaWkQGQk33QR//mlUoj8kic8rslZI4sFIlO+et4G8oiqOq6uF+sZDfklZtdcLarguEkj0/RBaNCMvIiIiInXiOn7u7nkbWLY1i3B7GaM2LuHJr2d4Pc4ZEUHBpj+I79KxytcK5FnvmlYe1FShX0SkoSiRFxEREZE6a58YzczzelD20rfEvzqLiD273des5jBOu/YVdiW2ZfCSPUxv0arKJfKBPOvtWnmwrIo98kmxWlYvIv6hRD6ImUwm4uLiMAXgMS0ijU3xIGJQLEijyM2FWbNIeO45yDKSXEe79nzY/3yebtePrGbN3Q91LZGvqjBcQ8561zceDl154DK4exJPjO6r/fESVPT9EFpUtb4KqlovIiIicojffoPevb3bEhLgySfZdvZoTnvphyqf+t2UIXRtHVuhPa/IyuS5aVXOegdCZXhXRf2CkjLiosJJivV/RX0RCU21zUNV7C6IORwOdu7cicPh8HdXRPxO8SBiUCxIg1i1yjg2rnwS36sXvPuuMSM/cSL5zur/WVnVEnnXrPehxfN8Mevtq3hIiImga+tYUjo2p2vrWCXxEpT0/RBatLQ+iNntdtatW0f79u11hIQ0eYoHEYNiQXzqjz/giSfgjTe826+91qhKX+53rD5L5NsnRjNzbKrPZ70VDyIeiofQokReRERERLytXw/33ANffw3lZ+/uugsef9yYnT9EfQvDJcRoubqISG3pVoyIiIiIGFatgnPOgZQUWLDASOLPPddodzph+vRKk3ho2CXyIiLiTTPyQcxkMtGqVStVnhRB8SDioliQOnM64c474emnPW1mM5x9Njz2GPTtW+uXaqgl8odL8SDioXgILapaXwVVrRcREZGQ5nAYe90P3f9+zTVGYt+9u3/6JSLShKlqfRNgt9vZvHkzdrvd310R8TvFg4hBsSA1stngv/+FPn0qJvGrVsFrr4VMEq94EPFQPIQWJfJBzOFwsGXLFh0hIYLiQcRFsSBVKikxKs23aAFXXAGbNnmu/fabscS+Xz//9a8BKB5EPBQPoUWJvIiIiEgo27vXqDTfuTPccAMUFECrVkZbbq6RwB9zjL97KSIidaBidyIiIiKhaNs2Y4l8+XJIHTrALbcYCX1MjP/6JiIi9aJEPoiZzWY6duyI2ayFFSKKBxGDYkHYsweOPNL7/HeA2bPh8sshoukcA6d4EPFQPIQWVa2vgqrWi4iISFD580948kmjgF1pqad99Gh4770mlcCLiAQrVa1vAux2O2lpaao8KYLiQcRFsdAEbdoEV15p7IF/+WUjiT/uOLjpJrDb4eOPm2wSr3gQ8VA8hBYl8kHM4XCQkZGhypMiKB5EXBQLTcirr8KgQdCrF7zzjtF2+umwdCn8/DO8+CI08SW0igcRD8VDaNEeeREREZFg4XTCo4/C/fd7t19wAUydCiec4J9+iYhIo1IiLyIiIhLonE74+msYMaLitd9+0/FxIiJNTNNebxXkzGYzPXv2VOVJERQPIi6KBd/KK7KybX8haRk5bMssJK/I2rgdsNuNQnXHHVcxif/uO50BXwPFg4iH4iG0qGp9FVS1XkREpGnbnVvMXfM2sHxrlrttcPckpo/uS/vE6IZ9c6sV3n0Xpk+HP/4w2po1g+uvhyuugGOPbdj3FxERv1DV+ibAZrOxatUqbDabv7si4neKBxGDYsE38oqsFZJ4gGVbs7h73oaGm5k/cAB69oTISLjqKiOJN5ngvvtg5054+mkl8XWgeBDxUDyEFu2RD2JOp5PMzEy0qEJE8SDioljwjaxCa4Uk3mXZ1iyyCq0kxPjwSLe//oLevSEvz91U1qoNeTdOJvyG60lo09J379WEKB5EPBQPoUUz8iIiIiKHyC8pq/Z6QQ3Xay0ry6hA36GDVxK/qXVnel/5MieUpDD5y3R25xb75v1ERCQkaEZeRERE5BDxUeHVXo+r4XqN/v4bHnrI2AdfVORu3nj0iYw++25KwyPdba7l/DPHpvp2FYCIiAQtzcgHMYvFQkpKChaLxd9dEfE7xYOIQbHgG0mxEQzunlTptcHdk0iKPcyEOj0dJk6Ezp3htdeMJP7442HePLbtyeOc86Z5JfEuruX8UjeKBxEPxUNoUSIfxMxmM8nJyTpCQgTFg4iLYsE3EmIimD66b4VkfnD3JJ4Y3bfuM+Nz5xpF67p3NxL4sjI4+WT44gv46Se44ALyrfZqX8Jny/mbEMWDiIfiIbToUwxiNpuNxYsXq/KkCIoHERfFgu+0T4xm5thUvpsyhE9v7M93U4Ywc2wq7epy9NysWUYCf+mlnrYRI2DFCvjhBzjnHOM6jbCcvwlSPIh4KB5Ci/bIBzGn00lBQYEqT4qgeBBxUSz4VkJMRN1n351OWLwYHnvM+N/y5syB8eMrfZprOf+ySqrl12s5fxOmeBDxUDyEFs3Ii4iIiPiCwwGffw49esDpp3sn8Z9/biT4VSTx0ADL+UVEJGRpRl5ERESkPkpLjerzzz0HGzcabZGRRlG722+Hjh1r/VKu5fxZhVYKSsqIiwonKfYwVgWIiEhIUyIfxCwWC/369VPlSREUDyIuioVGVFAAp51mFKtziYuDG2+Em24yzoY/DIe1nF8qpXgQ8VA8hBaTU5skKpWfn09CQgJ5eXnEx8f7uzsiIiISKA4ehLPOMgrWlffQQzB5MjRv7p9+iYhI0KttHqo98kGsrKyMr776irIyHUcjongQMSgWGlBuLjzyCCQneyfxycmwbx888ICS+ACjeBDxUDyEFi2tD3I6PkLEQ/EgYlAs1N2+/BJyDlrJL7ERHx1G85gI2sRH/XNxn7H//YknPE/o2hW6dIF584zl9E1UXpGVrEIr+SVlxEeHk9Qs8LYFKB5EPBQPoUOJvIiIiDRpGdkHmTr/V1amZwMQE2Hh/pFHM2DvZhJmPEvcqmWYS0qMB3ftaszKX3ghhDXtf0btzi3mrnkbWF7uuLzB3ZOYProv7ROj/dgzEZHQV6dvoKuuuuqw3sRkMjF79uzDeq6IiIhIQ9mXX1IhiX+vbSYpp5zt9bhtnY8h8ZEHaXnJaDBrZ2JekbVCEg+wbGsWd8/bwMyxqQE3My8iEkrqVOzOXMUXl8lkorKXcbWbTCbsdvvh99IPgqHYndPppKCggLi4OEwmk7+7I+JXigcRQ/lY2JNXQl5xGfnFZSREhxMfHa6Z0kNs3pPPWS8sB6DXvm189eYtFR5zxZiHWd4plcE9WilB/ce2/YWc9uz3VV7/bsoQuraObcQeVU7fDSIeiofgUNs8tE4z8jt27PD6u8Ph4JZbbuGHH37glltuYdCgQbRp04Z9+/axbNkyZsyYQb9+/XjuuecObxRSo+ho/YNMxEXxIGKIjo5mZ/ZB7v10o3umGWBgt5Y8OqoPyS2b+aVfgbifOr+kjJMzfuX6Hz9m2PZfvK49eNpEPuw/iqsGdmZ8h0RKbQ725BtL7P3db3/LL6m+WFZBDdcbk74bRDwUD6GjTol8cnKy19+nT5/Ojz/+yPr162nXrp27vWfPngwePJgJEyaQmprKxx9/zJ133umbHoubzWZjwYIFjBgxgvDwcH93R8SvFA8iBlcsfJLVipXpOV7XVqRnc+/8X3nywmMbfWY+4PZTO52wcCG9pz3MBz+uAsBuMrP37H/xUMJx9Bh/EUM7NmdsYhSPfLmJFxenB0a/A0R8VPX/nY2r4Xpj0XeDiIfiIbTUa5PX7NmzGTNmjFcSX94RRxzBmDFjeO211+rzNiIiIlJHP2w/UGn7ivRs8oobd7a0pv3UeUXWxuuMzQaXXWbscz/rLGL+SeI/PWYIw679P7Y+8wpj7r+WtIwcfs7I4eEvN7G83KoGv/U7wCTFRjC4e1Kl1wZ3TyIptmmvWBARaWj1SuT/+usvoqKiqn1MVFQUf/31V33eRkRERHyosZc9ZxVaKyTxLsu2ZpFV2AgJcXExnHEGhIfDe+8ZbdHR5F13E9t++Z2Pb51ORvN22J1O5qzcwcr0bFI7JHptTfBLvwNUQkwE00f3rZDMD+6exBOj+zb5rQciIg2tXuemHHnkkcyfP5///Oc/lSb0RUVFzJ8/nyOPPLI+byMiIiI+1NjLnv26n7qkBObMgRtvrHht61Zo3orn5v/KhAGduevsozCbTO7kvdTmqPalA2kfuD+0T4xm5thUsgqtFJSUERcVTlKs/+seiIg0BfWakb/mmmvYvn07AwYM4LPPPiM72/jiy87O5tNPP2XgwIH8+eefXHvttT7prHgLCwtjxIgRhDXxc2xFQPEg4hIWFsZxA07lxM4tK70+sFtLEqIbN5H3y37qggJ48EHo1Mk7iW/eHHbtMvbIH3EECTER3DPyGN5a9SfnzlxJdrlZ9siw6v+ZFCj7wP0pISaCrq1jSenYnK6tYwMuidd3g4iH4iG01OtTvOOOO/jjjz+YM2cOF1xwAWAcUedwGHewnU4nEyZM4I477qh/T6VSxcXFxMXF+bsbIgFB8SBiSIhw8sj5fbjv042sqKRqfWMXaXPtp15WyfJ6n++nzs6GGTNg5kzI+afYX8eOcOedMGECxMRUeEr5meVSm+e43LRduQzo1rLS5fXaBx489N0g4qF4CB11Oke+Kt9//z1vvfUWGzZsIC8vj4SEBI499liuuOIKhg4d6oNuNr5gOEe+rKxMlSdF/qF4EDGUj4XMgzbyisvcy54TosNpFmHxyxFwu3OLuXveBq9k3rWfup0vbiz88guccIJ3W/fuMHkyXH+9sTe+FvKKrEyem8ayrVnERFiYMTbVvWe+QfotDUrfDSIeiofg0CDnyFdlyJAhDBkyxBcvJSIiIj7SPjHaa/Z9d24xk+am+eUIuAbbT71kCZx6qndb9+7w6KNwwQVgsdTp5VxF3Fw3HW6em8ZVAztz09BuRIabSYyO0D5wERHxO22QEBERaQJqOgJu5tjUBk9OE2J8mAD/9htMnw7//a93++TJ8PzzxvFyh0lF3EREJNDVq9gdgM1m47nnnuOkk04iPj7eq3jCunXruPHGG/njjz/q+zZSBRWrEPFQPIgYKouFgDgCzhd++gmGDoXevb2T+EceMQrYzZhRryTeJdCLuEnt6btBxEPxEDrqtUe+uLiY4cOHs2rVKpKSkggPD2fPnj3Y7UahmLy8PNq2bcttt93GI4884rNON4Zg2CMvIiJSW2kZOYyatarK65/e2J+Ujs0bsUd14HTCN9/As8/CokWe9tGjYepUOP54//VNRETEh2qbh9brlvVjjz3GypUrefzxx9m7dy/XXHON1/WEhASGDBnCN998U5+3kSo4HA7279/vPiVApClTPIgYqooFvxwBV18Oh3F0nNkMZ59tJPEWC1x5JaxdCx9/rCReqqXvBhEPxUNoqVci/8EHHzBs2DDuvPNOTCYTJpOpwmO6dOlCRkZGfd5GqmC321m9erV7BYRIU6Z4EDFUFQuuI+AqE3BHqdntcOutRtL+8sue9rFjIT0d3noLUlP91z8JGvpuEPFQPISWeiXyGRkZnHDoUS+HiIuLIy8vrz5vIyIiIvXkqsZ+aDLvOkotIPaAW60wezYcfbRRsK68tWvhvfegUyd/9ExERCSg1KvaQVxcHPv376/2Mdu2baNVq1b1eRsRERHxgYCtxl5UBK+/DrfdBjab0daiBbRrB599Bl27+rd/IiIiAaZeifwpp5zCF198QW5uLomJiRWu79q1iwULFjBq1Kj6vI1UwWQyERcXV+mWBpGmRvEgYqgpFnx6BFx9ZWTAAw/AggWQmWm0RUUZZ8BPnAixsY3WlbwiK1mFVvJLyoiPDiepWQD9nOSw6btBxEPxEFrqVbV+2bJlDBs2jJSUFGbMmMHXX3/NY489RkFBAatXr2by5Mmkp6ezevVqjg+yYjSqWi8iItJANm2CXr282zp3hrvugnHjjGS+Ee3OLeaueRu8jucb3D2J6aP70j4xulH7IiIiTVujVK0fPHgwL774Ir/++iuDBw/mscceA4wl98OHDyc9PZ1Zs2YFXRIfLBwOBzt37lTlSREUDyIugRwL+X9sw3rU0RWT+GefhT/+gOuua/QkPq/IWiGJB1i2NYu7520gr8jaqP0R3wrkeBBpbIqH0FKvRB7ghhtuYP369UyaNIkTTzyRrl27kpqayvXXX09aWlqFI+nEd+x2O+vWrVPlSREUDyIuARkLmzdz8MrxxBxzFBFbNrubl/cfwe7MfKNCfVi9dvsdtqxCa4Uk3mXZ1iyyCpXIB7OAjAcRP1E8hJZ6fWsuW7aM+Ph4UlJSeOGFF3zVJxEREQkF69fD44/DBx/Q7J+m1R378MXRg3nv2LPAZGLwZ5uYOTbVb/vR80vKqr1eUMN1ERERf6hXIj9s2DCuu+46Zs2a5av+iIiISLB77jmYMsWrKa1dT/5z6jWsPfJor3bXrLe/Evn4qPBqr8fVcF1ERMQf6pXIt27dmqhG3ssmHiaTiVatWqnypAiKBxGXQ2Oh0aqxO50wdSo88YR3+8UXs3ncjYz6vqDKp/pz1jspNoLTj27NUe3iSe2QSKnNQVS4hbUZOWzek09SrCrXBzN9N4h4KB5CS72q1l955ZVs3LiRX375JeR+IVS1XkREgl2jVGN3OODzz6Gyo2ZXrYJ+/di2v5DTnv2+ypf4bsoQurZuvKPmyssrspJZaGXa5xtZmZ7tbh/YrSUPntebVrE6hk5ERBpPo1Stnz59OtnZ2UycOJEDBw7U56XkMNjtdjZv3qyCFSIoHkRcXLGQU1gxiQcfVmO32eC116Bv34pJ/MqVxgx9v36AMes9uHtSpS8zuHuSX2e9c4vKKiTxACvSs5n2+UZyi7RHPpjpu0HEQ/EQWuq1tP7yyy8nMTGRN954g//+97907tyZNm3aVJidN5lMfPfdd/XqqFTkcDjYsmULXbt2xWKx+Ls7In6leBAxuGLBHN+2xmrshzXTXFICb71lLKHfscNoi4+Hm26Cm2+Gtm0rPCUhJoLpo/ty97wNLDtkdcATo/v6dcb7oNVWIYl3WZmezUGrrZF7JL6k7wYRD8VDaKlXIr906VL3/y8tLWXz5s1s3ry5wuNCbdm9iIhIoCso9XE19n374LjjYPduT1tSEkyYAPfcA4mJ1T69fWI0M8emklVopaCkjLiocJICYNn6QWvFmamYCAtXDexMaodECkttbMssbLjaAiIiIoehXom8w+HwVT9ERETEh5pFVP8V3yyylv8E2L4devSAQ5divvACXHMNxMTUuk8JMYGXDCdGe1elj4mwMGNsKnNW7uDFxenudp/XFhAREamHw9ojv3r1ak499VTi4uJISEjgjDPOYM2aNb7um9TAbDbTsWNHzOZ6lToQCQmKBxGDKxYiwywM6Nay0scM6NaSCEsNsbJ3L9x5J3Tt6p3E9+sHBQXGMvo6JPGBqnVcJIPK7d+/amBn5qzcUWG5vc9qC0ij0neDiIfiIbTUuWr9r7/+ysknn0xJSYlXe3R0NGvWrKFXr14+7aC/qGq9iIgEs1//yiEiLIz/fPkbKw6pxv7Aub2wltnofWTzik/cudNYKj9vHpSWetrPPx8++AAiAmtG3Rd25xa79+/PHncCV7/1c5WP9WeFfRERCX0NVrV++vTplJSUcO+997J371727t3L/fffT3FxMU8cenasNCi73U5aWpoqT4qgeBBxccVCbLiFJ77+nZSOzZk97gRmXXYcs8edQErH5kz/3+/ERR2SkG/YAOPHQ7du8N57RhJ/yinwxRfGEXPz54dkEg+e/fvfTRlCXFR4tY/155n3Unf6bhDxUDyEljrvkV++fDkDBw7kP//5j7vtoYceYunSpXz/fdVnxIrvORwOMjIy6N27typPSpOneBAxuGIhunUnFm/OZPHmzEofN/Xsf+rcvP46XHut98XTT4dbb4Wzz4YmUrDWvX9/f2G1j6sp0ZfAou8GEQ/FQ2ip84z8vn37OOWUUyq0n3zyyezbt88nnRIREZH6qenYtIh33zGS9PJJfLdu8OOPsGgRjBjRZJL48gL5zHsRERGXOifyZWVlxMZW3BvWrFkzysrqv9yssLCQadOmcdZZZ9GiRQtMJhNvvvlmrZ+fm5vLxIkTadWqFc2aNWPYsGGsXbu23v0SEREJJnGRlcwcO50M3fYzH757J8m33eR97YMPYOtWOOmkxulggHKdeX9oMh8IZ96LiIi41Ov4uYaQlZXFww8/TMeOHTn22GO9zqqvicPhYOTIkaxfv5477riDpKQkZs2axdChQ/nll1/o3r17w3XcD8xmMz179lTlSREUDyIurlhoFR/J4O5JLNuahcnp4Kwtq5j23au0LTwAgDMiAlNCgrEf/vTT/dzrwBKoZ95L3em7QcRD8RBa6ly13mw2061bN7p16+bVnp6ezrZt2zjzzDMrvonJxFdffVWr1y8tLSUnJ4e2bdvy888/c+KJJzJnzhzGjx9f43M//PBDLr74Yj766CMuvPBCADIzM+nRowdnn3027733Xq36AKpaLyIiwW/P7mx+ufpWjlqzhG4H/nK3F950M7H33AXt2/uxdyIiInKo2uahhzUjn56eTnp6eqXXvv766wptpjrssYuMjKRt27aH0y0+/vhj2rRpwwUXXOBua9WqFWPGjOG///0vpaWlREZGHtZrByKbzcaaNWs46aSTCAsLuMUVIo1K8SBisNlsrP32W06cMoV2v//OOa72+ATyr72BsMmTiE8+wq99FGks+m4Q8VA8hJY6f4I7duxoiH74RFpaGscdd1yF5SInnXQSr776Kn/88Qd9+vSp9LmlpaWUljsvNz8/HzBqArj2/pvNZiwWC3a7HYfD4X6sq91ms1F+gYPFYsFsNlfZfmhNAVdA2Wy2WrWDseLAarW6X99kMhEWFobD4fA6WsLVXlXfA2VM4eHhVfZdY9KYqhuT1Wr1iodQGFMofk4aUwOPKScHbr6Zk/77X6/3cFx6Kc4ZM4j7586+w+EInjGF4uekMTXamMrKysjMzMTpdIbMmMr3XWPSmOoyJqfTWSF3CPYxhernVBt1TuSTk5Pr+pRGs2fPHgYPHlyhvV27dgDs3r27ykT+8ccf56GHHqrQvnDhQmJiYgDo2LEjqampbNiwgYyMDPdjevbsyVFHHcWaNWvIzPQc85OSkkJycjLLli2joKDA3d6vXz9at27NwoULvX65hg0bRnR0NAsWLPDqw4gRIyguLmbJkiXutrCwMIYPHw7AokWL3O1xcXGceuqp7Nq1i3Xr1rnbW7VqRf/+/dm6dStbtmxxtwfamEaOHElWVharV6/WmDSmOo3J1UdXPITCmELxc9KYGmZMXWJj6fP99ziff56wcn0s6d6dqB9/5IfffydzxYqgGlMofk4ak3/G5BJKYwrFz0ljavgxDRo0CPDOHYJ9TKH4OR1//PHURp33yDemuu6Rt1gsXHfddcyaNcurffHixZx22mnMnz+f888/v9LnVjYj36FDB7Kystx7EwLtjhLAggULOOOMMwgPN6oTB9odpVC8S6YxBeaYioqKWLRokTseQmFMofg5aUw+HtPff2N+/nksL7zgfoyjZ0+29u1Lh1mziGzePPjG9I+Q+pw0Jr+NqaysjEWLFjFixAh3P4N9TOX7Hiqfk8bUOGNyOp3873//88odgn1Mofg5FRUVkZiY2DB75ANVdHS0VzLuUlJS4r5elcjIyEr3z4eHh3v9ooPxQ7dYLBUe6/qFqW37oa9b13aHw0FKSgpRUVGYzd7bCcxmc4W26voeKGOCqvuuMWlM1bVHRUVVGg/BPKZQ/Jw0Jh+NafFiLBdcAFar8QfgiCPghRfgX/8i6u+/iWrRwv3coBhTKH5OGpPfx2SxWEhJSXH/gzkUxlSbdo1JY6qsj9XlDpU9vrq+B8qYDqc90MdU2/pyIZXIt2vXjj179lRod7W1D7HqvGazOaC3Oog0JsWDNAkffACXXOLdNmgQ3HsvDB8OJhNmAnsbnEhj0neDiIfiIbSE1CGCKSkprF271muJA8CPP/5ITEwMPXr08FPPGobNZmPx4sWVLrkXaWoUDxLS1qyBPn0qJvFvvAHLlsGZZ8I/d/AVCyIeigcRD8VDaAnaRH7Pnj1s3rzZa0/BhRdeyL59+/jkk0/cbVlZWXz00Uece+65IXX0HBj7XAoKCmpd2VAklCkeJOQ4nbBgAZx+Opx8Mmzc6Lk2e7ZxfcKESp6mWBBxUTyIeCgeQktALq1/8cUXyc3NZffu3QB88cUX/PXXXwBMnjyZhIQEpk6dyltvvcWOHTvo1KkTYCTyp5xyChMmTGDTpk0kJSUxa9Ys7HZ7pRXpRUREAo7TCV9+CY89Bj/8YLSFhcHll8Ntt0Hv3v7tn4iIiPhdQCbyTz/9NDt37nT//ZNPPnHPsl9++eUkJCRU+jyLxcKCBQu44447mDFjBsXFxZx44om8+eab9OzZs1H6LiIiclisVrjoIvj8c09bZCRceCE8+ihoX6OIiIj8I6CPn/On/Px8EhISaiz7708Oh4OsrCySkpIqrbAo0pQoHiRoFRTAGWfAjz96t991F/z739C2bZ1eTrEg4qF4EPFQPASH2uahSuSrEAyJvIiIBLGDB+G114yE3XWEHBiz8L//Dp07+69vIiIi4he1zUN1KyaIlZWV8dVXX3kV/BNpqhQPEjRyc+HOO6FTJ7j1Vk8S36ED7N0LJSX1SuIVCyIeigcRD8VDaAnIPfJSezo+QsRD8SABbc8emDkTXnoJ8vONti5djBn5ceOMmXgfUSyIeCgeRDwUD6FDibyIiEhDWrkSBg70buvVy9j/Pn68UZFeREREpA70rwcREZGG8OOPcMopFds/+wzOOQdUaEhEREQOk4rdVSEYit05nU4KCgqIi4vDZDL5uztNUl6RlaxCK/klZcRHh5PULIKEmAh/d6tJUjxIwFi3zjgD/qOPvNunTjWOkWvg30/FgoiH4kHEQ/EQHGqbh2pGPshFR0f7uwtN1u7cYu6at4HlW7PcbYO7JzF9dF/aJ+pz8QfFg/jVqlVw++2werWnLSwMnnrKWEbfiBQLIh6KBxEPxUPo0Lq+IGaz2ViwYIGKVvhBXpG1QhIPsGxrFnfP20BekbWKZ0pDUTyIXzid8OKLMHQoDBjgSeLHjoX166GsrNGTeMWCiIfiQcRD8RBaNCMvchiyCq0VkniXZVuzyCq0aom9SCiz2eCqq+Cddzxt4eFG9fnbb4eePf3XNxEREQl5SuRFDkN+SfXnbxbUcF1EgpTNBq+8ApMne7d36wZLlsCRR/qnXyIiItKkKJEXOQzxUeHVXo+r4bqIBJniYnjrLXjySdixw/vapk1w9NH+6ZeIiIg0SapaX4VgqVpvs9kICwtT5clGlldkZfLcNJZVsrx+cPckZo5N1dL6RqZ4kAZRWGjMwE+bBkVFRlurVnD++XD//dChg1+7VxnFgoiH4kHEQ/EQHGqbh6rYXZArLi72dxeapISYCKaP7svg7kle7YO7J/HE6L5K4v1E8SA+k54OXbtCx45wxx1GEh8eDjNmwJ9/wquvBmQS76JYEPFQPIh4KB5ChxL5IGaz2ViyZIkqT/pJ+8RoZo5N5bspQ/j0xv58N2UIM8em0k5Hz/mF4kF8Yu1a45z37t1h+3bIyYEePeCNN4zZ+cmTISbG372slmJBxEPxIOKheAgt2iMvUg8JMRGafRcJBTt2GMvny1ehB7jlFnjmGbBY/NMvERERkUookRcRkaYrLQ2eew7eew/sdk/7pEnwwgtg1sI1ERERCTxK5INcWJg+QhEXxYPU2s8/w2OPwfz5nrbhw40z4E8/3VheH8QUCyIeigcRD8VD6FDV+ioEQ9V6ERGpWV6RlaxCK/nFVpJffo4WTzzi/YChQ41j5U480S/9ExEREXFR1fomwOFwsH//fhwOh7+7IuJ3igepzO7cYia/+wsrzr6E1E4tvZP4K66A336DJUtCKolXLIh4KB5EPBQPoUWJfBCz2+2sXr0ae/l9nSJNlOJBDpVXUMy8u5/lvqmXMG7tV17XHr/9JfJeeR2OOcZPvWs4igURD8WDiIfiIbRok4SIiIQWqxX+7/+IefZ5Jv+53evSyHHP81vbbgCMKbTq1AkREREJSkrkRUQkNBw8aJz3/tRTsGsX4UBuVCxvHn8ubx5/LrnR3vvMCkrK/NNPERERkXpSIh/ETCYTcXFxmIK8urKILygemrBdu6B3b8jP97S1bcuBK69mOMdxyWm9eKZDIqU2B1HhFtZm5PDGih3ERYX7r88NSLEg4qF4EPFQPIQWVa2vgqrWi4gEuD17oH37iu0vvwzjx5PnMPP73gJmLt7KyvRs9+UB3Voy+dTuHN02TkvrRUREJKCoan0T4HA42LlzpypPiqB4aFL++gtuvRW6dfNuHz4ciorg+ushKgqAlxaneyXxACvTs3lpSXpj9bbRKRZEPBQPIh6Kh9CiRD6I2e121q1bp8qTIigemoT0dLj8cujQAZ5/3kjawWgrK4NvvoHoaPfDswqtLE/PqvSllm/NIqvQ2gidbnyKBREPxYOIh+IhtGiPvIiIBLYvvoC5c+GDD8A1izBkCNxzD5xxBlSx1y+/hmJ2KnYnIiIiwUqJvIiIBKbnnzeW0Jc3ciTceScMHlzj0+NrKGYXqsXuREREJPQpkQ9iJpOJVq1aqfKkCIqHkOF0wrffGvvdD5WWBikptX6ppNgIBndPYtnWisvrB3dPIik2NAvdKRZEPBQPIh6Kh9CiqvVVUNV6EZFG5HDAl1/Co4/CmjXe1774As4557BednduMXfP2+CVzA/unsQTo/vSLjG6mmeKiIiINL7a5qGakQ9idrudrVu30r17dywWi7+7I+JXiocgZbPBhx/Cgw/C1q1GW1QUjBgBU6bAgAH1evn2idHMHJtKVqGVgpIy4qLCSYqNCOlj5xQLIh6KBxEPxUNoUdX6IOZwONiyZYuOkBBB8RB08vONfe7du8Nll3mS+Lvvhp07Yd68eifxLgkxEXRtHUtKx+Z0bR0b0kk8KBZEylM8iHgoHkKLZuRFRKTx7N8PJ5wAu3Z52pKS4N//hptugsREf/VMREREJGgokRcRkYaXkwMvvggPPODd3q8fLFoEzZr5p18iIiIiQUiJfBAzm8107NgRs1k7JEQUDwHqr79gxgx45RUoKPC0n3IKLFwIcXH+61uIUiyIeCgeRDwUD6FFVeuroKr1IiL1sHMnPPUUzJ4NJSVGW58+cNttcMklEBnp3/6JiIiIBKDa5qG6HRPE7HY7aWlp2O12f3dFxO+aSjzkFVnZtr+QtIwctmUWkldkDajX47PPwGSCTp3gpZeMJL5HD/j8c1i/HsaNa7Qk3udjCxJNJRZEakPxIOKheAgtWlofxBwOBxkZGfTu3VtHSEiT1xTiYXduMXfN28DyQ85Enz66L+0P40x0n77eG2/A1Vd7t51+OtxzDwwdaiT3jcjXP6tg0hRiQaS2FA8iHoqH0KIZeRGRIJBXZK2QmAIs25rF3fM21Hm22Wevt2KFceb7oUn8Sy8ZReyGDWv0JN7XPysRERGRQKNEXkQkCGQVWiskpi7LtmaRVVi35LRer+d0wldfGcfIDRoE//uf59p77xnXb7yxTv3xJV//rEREREQCjRL5IGY2m+nZs6cqT4oQ+vGQX1JW7fWCGq775PXsdpg3z0jgzzkHfvkFIiJg4kRITzcS+LFj69SPhuDrn1WwCfVYEKkLxYOIh+IhtGiPfBCzWCwcddRR/u6GSEAI9XiIjwqv9npcDdfr9XrFxUbivnixpy0mBi6/3DgX/ogj6vTeDc3XP6tgE+qxIFIXigcRD8VDaNHtmCBms9lYtWoVNpvN310R8btQj4ek2AgGd0+q9Nrg7kkkxUb4/vWKiyElxUjayyfx999vHC/3f/8XcEk8+P5nFWxCPRZE6kLxIOKheAgtSuSDmNPpJDMzE6fT6e+uiPhdqMdDQkwE00f3rZCgDu6exBOj+5IQU7fkNCEmgkfO783Abi292gd2a8mjpyWT8OLz0LmzcWScS/PmsGsXPPwwJFWeKAcCX/+sgk2ox4JIXSgeRDwUD6FFS+tFRIJAXpGVkjI7951zDA6nk6JSOwnR4STFRhxWYppXZOXhLzaR0rE5EwZ0ptTmoFlhLhEvzqTDtS97P/ioo2DlSmjRwkejaXjtE6OZOTaVrEIrBSVlxEUd/s9KREREJNAokRcRCXDVnYl+uInp3vwSvt28n28376fX3nRG/baEseu/oVlZCQDWbt2JuPceuOwyCA/OPeUJMUrcRUREJDQpkQ9iFouFlJQULBaLv7si4neBHg95RVayCq3kl5QRHx1OUrOak8y8Iiu5RWXc9+mvLE/P9rrmOhN95tjUOiereUVW/sopZsCf63j3g/u8rm1s05VXT7qAq164k5TO/ls+fzg/LzEEeiyINCbFg4iH4iG0KJEPYmazmeTkZH93QyQgBHI8VDej3j4xutrnjO/fqUIS7+I6E72uCW7+T+s4bejJnHZI+/gLH2Rpl+PBZOKWZlF1ek1fOpyfl3gEciyINDbFg4iH4iG0qNhdELPZbCxevFiVJ0UI3HjIK7JWSErBM6OeV2St9jmlNke1r1+nM9F/+glGjaLD0JO9mp8cfCWd7vqSpV1PAJOJQX6s7H44Py/xFqixIOIPigcRD8VDaNGMfBBzOp0UFBSo8qQIgRsPWYXWCkmpS1Uz6uWfExlW/f3WGs9Edzrh++/h0Ufh22+NJpOJ1Z1SSBx/GY+2H8DKcjP+A7q15D//6u23ZeyH8/MSb4EaCyL+oHgQ8VA8hBYl8iIiDSi/hhnzymbUyz8nbVcuA7q19Eq2Xao9E93hgBtvNKrNb9zoaR83jsKbb+WVtBJ+3pnDVR2bc9U/Vesjw8zsLyileYz/itsdzs9LREREpKlRIi8i0oDia5gxr2xGvfxz3lixgxljUwG8kvkqz0S3WmHMGPjsM09bZCRcfTXccQd06kQcML1LMXfP28CLi9Nrfs1GdDg/LxEREZGmRol8ELNYLPTr10+VJ0UI3HhIio1gcPckllWyXLyqGfXyzymy2rl5bhpXDezMVQM6A9CxRQyt4yK9E26rFd55B665pmIn/vwT2rb1agrUc9YP5+cl3gI1FkT8QfEg4qF4CC0mpzZJVCo/P5+EhATy8vKIj4/3d3dEJIjtzjVmv5cdUoX9idF9aVdN1fpaPaeoCGbNwvH8C5j//svd7AwLw7RlC3Tp4vsBNbDD+XlVR0fZiYiISLCobR6qRL4KwZDIl5WVsXDhQoYPH054uJabStMW6PHgSibrMvtd7XNyc2HWLHjuOcgyEt59sS2YfcK/mN/rVI5O7R7Ux7Udzs+rMk3xKLtAjwWRxqR4EPFQPASH2uahWlof5HR8hIhHIMdDQkzdE9HKnlPw8zriTkz1ajsYHcujg8fxce/TsYYZX8yZ/xzXNnNsarXvG6iz1Yfz8zpUTUfZ1fSzCWaBHAsijU3xIOKheAgdSuRFRAJU+SS71ca1HDnydOLKXd+S1BHT3VM5e1977OaK+91qOq4tEGarG/JGgo6yExERkVClRF5EJADtzi3mro83sGvNeq7/cR6pGxZ6XX+/73CmnjWJl4afgP3dtVW+TlXHtQXCbHVD30jQUXYiIiISqpTIB7GwsDCGDRtGWJg+RpFQioe8IisvPTeP8e/OYOj2X7A4He5rX5x1Bdum3Mvz3xnHxkWGmat9raqOa/P3bHVj3EhoqkfZhVIsiNSX4kHEQ/EQWvQpBrno6NAs1iRyOEIiHlavJuyBh3j022/cTd92PZFZ/caw9oijAVjQqy19OzRnbUYOv/6dx4BuLb3OmHep7rg2f89WN8aNhKZ8lF1IxEIjC9R6EVJ/igcRD8VD6Kh+KkcCms1mY8GCBSpaIULgx0NekZVt+wtJy8hhW2YheUVWz0WnE+66C0wm6N+fZt9+g91k5tuuJ3L2hBlcc+E0dxIPUFBi46o3fyItI4djj0zk6oGdGdQ9yev9XMe1VZWI+Hu2ujFuJCTERDB9dF8G1/FnE+wCPRYC0e7cYibNTeO0Z79n1KxVnPbM90yem8bu3GJ/d03qSfEg4qF4CC2akRcRaWBV7gUf1Zv2U6fAq696PT730is5v9kA/mxxRKWvFxdl/KfbNQt/fsoRPH3RsRSW2Gp9XJu/Z6sb60ZC+8RoZo5N9clRdhKaAqFehIiISF1pRl5EpAFVliRYHHZafPoRjj59KiTxrFpFzvMvccRJfSt9vQHdWhJRbl/8yvRs+h6ZQJv4KLq2jiWlY3O6to6tMfHw92y160ZCZXx9IyEhJqJOPxtpWmqzzUNERCTQaEZeRKQBlU8SIm1WRm/8jruXzCHeWuT9wI0boVcvAPIyDjBhQGcAr73vA7q1ZMKAzuzNL/F6arHVflh98+dstetGwt3zNnitCgj1Ze8SePxdL0JERORwKJEPYmFhYYwYMUKVJ0UI3HjILymjVWEOF2/4hivSFtCm8AAAWTEJvHHCvzjrpYfp2zvZ6zlxURFc+voarhrYmasGdKbU5iAyzEzarlxunpvGi5ced8jjD38ZevmEOb+kDEwV2xuKlr03jECNhUDl73oR0rAUDyIeiofQok8xyBUXFxMXF+fvbkgTsy+/hJyDVvJLbMRHh9E8JoI28VH+7lbgxcO2baT06MFPDs/xcbvjkph94vnMPfZMiiKiGd26ZYWnJcVGcEJyc15cnF7h2oBuLVmbkeP+e32Xof91oIipn2xgebmZf1+e5V6ThBgl7g0h4GIhgPm7XoQ0PMWDiIfiIXRoj3wQs9lsLFmyRJUnpVFlZB9kyofrOOuF5Yz5v9Wc9fxybvtwHRnZB/3ar4CKh717ISYGunXDVC6Jv+Psmxly3WvMPvF8iiKiq0wSqtq/PvCfpfVvrNgB1H8Z+t85Rdx1SBIPniJfXpX1JWgEVCwEAX/Xi5CGpXgQ8VA8hBbNyItIre3LL2Hq/F8rnFm+Ij2be+b/yjNjUgJiZt5v/vwTnnoKZs+G0lJ3c/E553HjOXewZEeeu62mJKGyZeexUWEcLLXx3jUn13sZel6RlZ3ZRZWePw++O8tdJBhom4eIiAQbJfIiUms5B61VJn4r0rPJOWhtmon877/D9Onw9tuetpNOMv688ALRZjPPF1kPO0lwApggKsxMm/hYn3Q5q9BKbrGKfIm4aJuHiIgEEyXyQU7FKqQx5ZdUvxSrpusNrdHj4bXX4PXX4aefwOk02oYOhWnTYMgQMJncD61rklDl2fM+2rueX1JGZFj1u6tU5Ct46btBxEPxIOKheAgd2iMfxMLDwxk5ciTh4frHtjSO+Kjq/+Nf0/WG1Gjx4HTCI48YSfrEibBmjdE2apTx/5csMZL5ckl8XVV29jz4du96fFQ4abtyGdCtYrE9gEEq8hW09N0g4qF4EPFQPIQWJfJBzOFwsH//fhzlimmJNKTmzSIYWEXiN7BbS5o381/i1+Dx4HTC//4HZjPcf7/3tY0b4ZNP4MQTffJW5c+eP5Rr73p9JcVGsGVPPhMGdK6QzA/s1pLHR/XRMuMgpe8GEQ/Fg4iH4iG0KJEPYna7ndWrV2O32/3dFWki2sRH8dioPhWS+YHdWvLYqD5+3R9/uPGQV2Rl2/5C1u/K4c+sQrbszWfNjgNs2p3HjsxC9ucchPfeg+OOgxEjvJ/87bdGgt+rlw9H8s957tXwxd71hJgIHvpXbz5Yk0Fqx+bMHncCsy47jveuOZknRvflyBYx9X4P8Q99N4h4KB5EPBQPoUWbJESkTjq2bMYzY1I858hHhdG8WWCcI19Xrn3ov+zM4cVLU3n6my3uo9jC7DbuyPqZK5e9D9uN89wdMc3IvGw81suvJP6ElAabsY6vYW+6r/aut0+M5umLjlWlbhEREZEgo0ReROqsTXxU0CXuef9Ujc8vKSM+OpzYyDAe/WoTx3ZI5JbTupNfXMa/z+jJ3Sfnkvyv4cTuSHc/12GxsPmy67g0cSC50fGwIJPBW9N8VnjuUEmxEQzunsSySpbXV3X2fF0c+rNIio2ga2vfVMMXERERkYanRD6ImUwm4uLiMNWjqJZIqMgsKCUiOoZfduaSGBtJ8xjPKoHKKsCffnRr7jjzKB7+8jdeXJxO2/wsvp4zicSSQvdjcuNbkHntTewdOx5rTDNy3/rZfc1VeG7m2FSfz2AnxEQwfXRf7p63wSuZr+ns+dpo6Gr44n/6bhDxUDyIeCgeQovJ6XSdmSTl5efnk5CQQF5eHvHx8f7ujohUIyP7IFPn/+p1xr1r335CdDiT5qZVKB436dRupGXksGnDdib8/Dk3r/7A63pm5x4MHPU4JxzdntuH92RPXgk3vru2wnt/N2VIg81m59Xj7PmqXq+ynwUYyXxD3JQQERERkdqrbR6qYndBzOFwsHPnTlWelCZtX34JU+f/yg/bsjiltQOLybg3uSI9m3vm/0pOUeUV4E+JKGbkiw+y8pWrvJL4FcnH0nPKPDZ8tYzS8EhWpmcTZjFVeeZ6TYXnXMX00jJy2JZZWKej4xJijCXvKR2b07V1bL2T7Maohi/+p+8GEQ/Fg4iH4iG0aGl9ELPb7axbt4727dtjNuuejDRNOQetrEzPJtICY7s6SMu24CrGuiI9m4NW78qsyTm7ue7HefR/ZjEDbUYS/mubrrzY72IW9jgFp8mIpVKb50suv9hG2q7cSt+/usJzgbaMvTGq4Yv/6btBxEPxIOKheAgtAfkJlpaWctddd9G+fXuio6M5+eSTWbRoUY3Pe/DBBzGZTBX+REUFV1EuEam9/BJbtdeLSo1E/txN3/PnE+fw/asTuXT9N5htZfx8xNFce8F9nDvueb7p2d+dxANeM/CJ0eG8sWJHhdeurvBcXpG1QhIPnr31h87M12fmvrYaqxq+iIiIiDSsgJyRHz9+PB9//DH//ve/6d69O2+++SYjRoxgyZIlDBw4sMbnv/zyy8TGevasWiyWhuyuSECqUJm8WWgeK5YQXf1/xjp89DZ/PnGrV9v3nY9j96Tb+LZFN45un8AlHRIptTmICrewNiOHTbvz3DPwg7onER8VxvHJzSvMrFdXeK42y9hdz22smfuGroYvIiIiIo0j4BL5NWvW8P777/PUU09x++23A3DllVfSu3dv7rzzTlatWlXja1x44YUkJSU1dFf9zmQy0apVK1WelAoaOjEMpJsE0eEWBnVL4sftmfyea8LpBJxO+mVs4N7182n7+89ej7/j7Fv4qO8ZnNOmLfefeRT3fvorLy72HDU3sFtL7j+nF5e9/gMDurXkpmHdsDkcPDG6L8VWe60Lz9V2GXtNM/eHFqCrz8++IavhS+DQd4OIh+JBxEPxEFoCLpH/+OOPsVgsTJw40d0WFRXF1VdfzT333MOuXbvo0KFDta/hdDrJz88P+eMVwsLC6N+/v7+7IQGmrolhXQXSvu+8Iis/bs/mxmFdceDk/zZlcuq2Ndy7eDZdcnZ7Pfbghx+zd8iZXFZSxvVR4cRGhXH7h+u9Kt2Dsa/+kS9/443xJ7Jw0z6uevMnUjsm8tj5fepUnb62y9gbe+a+fWI0M8em+rQavgQWfTeIeCgeRDwUD6El4PbIp6Wl0aNHjwql9k866SQA1q1bV+NrdOnShYSEBOLi4rj88svZt29fQ3TV7+x2O5s3b8Zut9f8YGkyGqIyuWv/9tqdB9iZfZBjOyQSE+HZslLVvu+GllVopUVsJNfPXsW4jQtZ//EUZs/7D11ydmO3hPHuieeydc1GcDppdtForwrwhSU2lqdX/nNanp5NZkEpLy5Op8hqZ2V6Nget1e/FP5RrGXtlyi9j99XMvT+r4Utg0XeDiIfiQcRD8RBaAm5Gfs+ePbRr165Cu6tt9+7dFa65NG/enEmTJtGvXz8iIyNZvnw5L730EmvWrOHnn3+u9hy+0tJSSktL3X/Pz88HoKysjLIy4x/SZrMZi8WC3W73OrbB1W6z2XA6ne52i8WC2Wyust31ui5hYcbHYbPZatUOsGXLFjp27Eh4uDG7ZzKZCAsLw+FweAWpq72qvgfKmMLDw6vsu8ZUuzHlHizGYnJid5qIMDspvyilzG4khnUZ0+7cYu6bv55V2zwz1yd0TuKFS1K488M0isqM/v+wLZOsQitxUWGN9jnl78vkuMtGs/7XNPfjCiOiee/4EbyZMpLd8a34oEUrr/G6xpp7sJhIi+f1S+0mzDgJ/+f+RIm1jAizE6vDhMXkpLC41P06tRlTTLiJR/91DNM+38j3W7Pdn8fAbi15+LxjiAk34XA4iI8Kr/RzcmAi0uIkJsxEWVkZ+3KLWLE1E4DIQ8p+LNuaSWZBKTHh3iuQFE9Nc0ylpaXu74bIyMiQGFMofk4aU+OMqaysjC1bttC1a1dMJlNIjKl830Plc9KYGmdMTqezQu4Q7GMK1c+pNgIukS8uLiYyMrJCu6vyfHFxcZXPveWWW7z+Pnr0aE466SQuu+wyZs2axd13313lcx9//HEeeuihCu0LFy4kJiYGgI4dO5KamsqGDRvIyMhwP6Znz54cddRRrFmzhszMTHd7SkoKycnJLFu2jIKCAnd7v379aN26NQsXLvT65Ro2bBjR0dEsWLDAqw8jRoyguLiYJUuWuNvCwsIYPnw4gFdF/7i4OE499VR27drltXqhVatW9O/fn61bt7JlyxZ3e6CNaeTIkWRlZbF69WqNqR5jOrGVmR/2m5jSx067GE8fX95kJi4qvNZjGjjsdB77LI3zW2ZzfkujrcQGd/2UTZvwUh5M9cwC7ykybhI0xudUlJnJyY8+Suqvv3r1d/PFF7P93HNpExuLY52FSCvs3biaBRsrfk5/bVjFkyeVH1MYPRKc3HCM8R9k25+/MKUPTF8fxomtnOzZuJo9G+s+pn+1hGuO7UxMqw5kb99IYd5+flm52D2mpFbtuP94E/Fhns/j5U1mNueZePQEB7//9D2//9PeJtpCjhWePMn7TvqdaywcyM3jtx8Wu9sUTxrTokWLQm5MEHqfk8bU8GNyCaUxheLnpDE1/JgGDRoEUOE0sGAeUyh+Tscffzy1YXLWNuVvJL1796ZNmzZ89913Xu2bNm2iV69evPLKK1x33XV1es127drRq1cvvv322yofU9mMfIcOHcjKynLP5AfaHSWABQsWcMYZZ2hGXmPyzFIXW5ny0a98vzW7wkzvKV2SmDH2uAozt1X1feeBEs547nsiDpkBds1ev3p5KjfNNWbDnU7437+H0jkppuE+p/x87DNmYJ4xA1O2Z4VAVou2XDjuSW4dEs/9P5spdZiw2o3Cdf859xiOaOG5m+Ea64GCIu6bv5HubePoe0QCVqeZyDAz6zOy2bwnn6PaxfPK99uxOkwM7t6S5y7qQ3x0hHtMB60O9ueXkF9cSlxUOC2bhZPYLOqwfvd2ZRcw7bONrPxn1UOZHQZ2b8Vj/zqGNgnGTcwdmQc5c8YKnFSckS+1w7e3DiG5hfdRm4qnpjmm0tJSFi1axBlnnKEZeY2pyY+prKyMRYsWMWLECHc/g31M5fseKp+TxtQ4Y3I6nfzvf//zyh2CfUyh+DkVFRWRmJhIXl5etSvKA25Gvl27dvz9998V2vfs2QNA+/bt6/yaHTp04MCBA9U+JjIystKVAOHh4V6/6GD80C2WikfauX5hatt+6OvWtd1ut3stnSzPbDZjNlcsgVBV3wNlTFB13zWm2o2pZXg4j48+ttLK5NNrqEx+aN8LSgtxYqK0kq1UDkxYnWZK7Sb36yfFRjTM57RvHzz/PEyfjvuRXbrAUUex+6XZZNjD6bjkD1bvy6TYbqLMYWJQtySmndeL5rERlX4mLeObMfWc3kyd/yszlnjOiC9ftd5I4o2K7i3jPcXkaio6V9ffvQ4t43jukuOrLUDXJjGGQd1bsWxrVoXPY3D3JFrFRfr9d6827cEWT7VpD7QxRUZGVvhuCPYxheLnpDE1zpjMZjMdO3Z0t4XCmGrTrjFpTJX1sbrcobLHV9f3QBnT4bQH+phqW6w94BL5lJQUlixZQn5+vtcdiB9//NF9vS6cTid//vknqampvuxmQLBYLCE5Lqk/X1Umr6nyemSY8R+7Bju+bOVKePhhWLYMSkqMtk6d4LHH4KKLICyM9gA5Rdx/bm+sNgcXWO3ERoZRWFpGXISlyj7lFVm599ONlVet/2oTc689BbPJVOHn1lCnAiTEVP/56Og4qS19N4h4KB5EPBQPoSXgqtZfeOGF2O12Xn31VXdbaWkpc+bM4eSTT3YfPZeRkcHmzZu9nlt+L4LLyy+/TGZmJmeddVbDdtwP7HY7aWlpXktARFx8UZk8KTaCQVVUXh/ULYkWzSJYcPNAZo5NpZ0vj5778kswmWDgQFi40EjiTzoJPvsMtm2DsWOh3F3N9s1jaBkTRnbGH4SZHESGmenZJo421fSpuur+y7dmYTaZKv25NcSpALXlukHz3ZQhfHpjf76bMsT3P3sJevpuEPFQPIh4KB5CS8DNyJ988slcdNFFTJ06lf3799OtWzfeeust/vzzT2bPnu1+3JVXXsn333/vtc8gOTmZiy++mD59+hAVFcWKFSt4//33SUlJqfO++mDgcDjIyMigd+/elS7rkKYtr8hKVqGV/JIy4qPDSWpW9xn5hJgI/vOv3tz76a9eM9cDurVk3IBOXPb6j3wxaaDvZoPXrYPK7hR/+SWMGAHVLDWKiwojZ/9u+p2QUuXyqvLyiqtPuPOKKz8WrrbHxTWUmmbuRfTdIOKheBDxUDyEloBL5AHefvtt7r//ft555x1ycnLo27cvX375JYMHD672eZdddhmrVq1i3rx5lJSUkJyczJ133sm9997rrjwv0hTUtIe7LprHhHNO3/ZcNaAzpTZjtjttVy43z03jhOTm7vPQ6+X77+HJJ+GQiqM8/zwcchqFr8REVP+fv5hDK/z9o6btBnGHXPfFDRURERERkfICMpGPioriqaee4qmnnqryMUuXLq3Q9tprrzVgr0Qqqk2S1tiJnK/3cCfERDCoWxJT5/9a4cZAvfZmO53GsvnHHjP2wAOYzXDJJTB+PJxxRp1eLv+fGfYNf+WSGBtd48/ZbDYxoFvLCnvkwVhxYDFXPvufFBvB4O5JXvvUXVwF/1x8eUNFRERERMQlIBN5qR2z2UzPnj0rra4oDa82SZo/Erna7OGuS/K9O7eYBz//jWM7JDK+fydKbQ4SosNp0SyC2tXUPITNZiTq777r3T5mDDz6KHTrVueX3J1bzNR5vxJdbGLRDz9id5pq/DmHmU1MGNAZoMK2gQkDOleZyNe26FxDFcUTqYm+G0Q8FA8iHoqH0BJw58gHivz8fBISEmo8v0+aprwiK5PmplWaMA/unsTMscY+75oe0xCJXFpGDqNmrary+qc39ielY/NavVZekZVJ76WxPL3iGAZ0a8k5fdszonfb2o2juBj+9S9YtMjTFhkJN9wAt90GRx5Zqz5V2sfD+DnnFVm5/aP19GwXT2qHRK9tA1v25PP0RcdWOy7XSouqTgXYtr+Q0579vsrnfzdlCF1bx9ZxtCIiIiISymqbh+p2TBCz2WysWrUKm83m7640ObWZ9fZXdfO67uGuTlahtdIkHoxZ7NZxkTWPo6QEXn4ZYmK8k3iAP/6A55477CTe3cetWUSYnVx/tJ0Is+feZHU/54SYCB76V2827Mrl6rd+5sZ31zJ5bhpHJEZz+5k92Z51kG2ZheQVVf386k4F8HdRPGm69N0g4qF4EPFQPIQWLa0PYk6nk8zMTLSoovHVJkmr6VNpqESuLnu4ofo9/DWNs9TmqHocBQXw7LPwyiuwd6+nPTERNmyAf46SrC9XH00mODrRWaGwfXU/Z9dxblmFVg6WlhEfHcH9n25k6ie/uh9zuFshfHlDRaQu9N0g4qF4EPFQPIQWJfIih8EXSVpDJXK13cMNNe/hr2mckWHmiuPIzoaZM2HGDMjJMdo6dIA774SrrjJm5n2ovp+F6zg39xL9dN/saa/rDRURERERkdpSIi9yGGqbpPkrkSs/01zVHu7aFGOrbpwDurVkf0EpJyT/s99+7Vo4/njvB/XoATfeaOyDj2iY8SbFRvD4BX1oFWPh4LafmXXpcaT9XcAbK3bU6Xg8XxcJrMsNFRERERGRulAiH8QsFgspKSlYLJWfdy0Np7ZJmj8TOddMc1Vqk7h2bR3L9NF9efqbzUwY0Jkwi5n8YmMJfkyEhUiziYSfVsPQod4vkJwMTz0FF1wADfz7edBqZ8GGPazalsmJrcz89MNaTumaxBvjT6RTi5ha/5wbYk97bW6oiPiavhtEPBQPIh6Kh9CiRD6Imc1mkpOT/d2NJqs2SVpdE7nGPHO+tolr+8RoppzegwKrzWvfv23jRlq++Dx8/L73EydNghdeMM6Eb2DuVQXpWYCJH/YbG+RXpmdjMZncpwfURkPtaa/phoqIr+m7QcRD8SBicP8b0xSPLbuoQf+NKY1DVeuDmM1mY/Hixao86Uc1VS6v7WMA9uYW8/veAorKbJSUOSi22vl9bwF7c4sbpO+1TVz35RZ7FUVptmEtHUePpOvQU4gtl8TvunUqew4cNPbHN9L5pOVXFUSYndx9rM1dtb6uJwO4thFURnvaJZjou0HEQ/EgYtREmjQ3jbOfX8qPK5dx9nNLmTw3jd0N9G9MaRxK5IOY0+mkoKDAZ5Un84qsbNtfSFpGTrXHbonv5RVZKbTaeWnxVi7+vx9YuS2LffklHCy1kVtSxr78Ep+9j+szDrOYapW42u0OHE4n+96fT5sLz6P3qOE0W70CgIMjzyPz2+V8t2kv0/qez86cYrbuK2i036HyqwpMJmgXg1fV+rosh3dtlzj0Z6I97RJsfP3dIBLMFA/S1JWviVT+30qumkj6937w0tJ6AWquXi4NK7+4jOkLNnFC5xbcf04vnvz6dwBSOySyPfMgzWOsWG0OOrQ4/Irvh37GMREW3hh/Ik6o8Lm7E1eHg/g7byX2jddwLUy0mcx8dswQfrlgPOeOG0GHxGise/K59ORkXlq8leXp2V6v1ZC/Q75eDq897RLs8oqs7MstAmBH1kHaJNS+ToSIiIQeXxfzlcChRF5qVb1cAV45X+1pL7LZGde/M0lxEdgdDu4ecQwPfb6RFxenux8zsFtLHh3Vh+SWzQ6rn4d+xkVWO1e9+RP3n3MMD5xzDAUlNmIiLJjNJopLrJROuZ/I554httzrfN2jH48Mu5q/EtuCFXYuSec//+pNm7hInln0ByvLJfHQ8L9DDXHEm/a0S7By3axbsz2TJ0+Cc19cwcldWumGrIhIE9YQxXwlMCiRD2IWi4V+/frVu/Kk7tQdHl+uYrCYoF1iFNM+/43Ujs1Jy8ipkBSvSM/mvk83Mv2CPpSUOep086Cqz7jIamfqJ7/yzb8H8dy3f/DD5j2c/9sSbvjhYyJzdns9duT4F/itTVevtpXp2RSX2UmIDq/QX5eG/B0qf3rAiq2ZvLzJTJldy+Gl6Sl/s84M7ljQDVlp6nz1byWRYFV+9WKZ3fP94HK4xXzF/5TIBzGz2Uzr1q3r/Tq6U1d3vl7FEGGxMHX+r6xMz+aqAZ29ZuLLW/5PUvyvl1a622pz86Cmz3j37my6vD+HNxa/TrjD+K97TlQcea3bkf/mu1yyJIurBnZmSodESm0OosItrM3I4Y0VOygqtWPCVO3rN+TvkJbDi3jfrHNgYnOeJyZ1Q1aaMl/9W0kkWJVfvXjo94OK+QY3FbsLYmVlZXz11VeUldUvSfL1PuNALprnq77VZhVDXRy02t0z2qU2R7WPLbXZvf5em2IlVX3G7fIzeeHzpxhwxok89O3/Ee6wYzWH8ciwqxhwwxsMHfssUcf0YMbYVNIycrj6rZ+58d21XPXmT6Rl5DBjbCoJMWEcLK2+GnBD3+1NiImgY/NI/v51FR2bRyphkSan/M26SIuTJ060EWnxFPfSDVlpqnz1byWRYFW+mG/57wetXgx+mpEPcr44TsWX+4wDuWieL/vm61UM5R8fGVb9/bVmERXDtqYZt0M/465Zu/hu9g1ej8lrcwR7rruZP8+9iP6xzYj6Z8Y9KszCnJU7KiydX5mejQl4bFRvyiIsDOjWstLl9Y15t1fHC0lTdejNuqhD/jOhpZPSlOm7QZo61+rFfblF/P7T93xx00DaJKoYarDTjLz47Nitmpab+3Nmvrq+3TVvA3/sK/Caoa9p5t7Xqxjioz2PT9uVy4BuLSt93IBuLYkKr3yfX3U3DxJiInhidF9eGNCSDV/cUyGJ3zblXiY99D5nlfbi+o83ec24F5XZq9z/viI9m6IyBw4nTD61u45uE/ET1826ymjppIiIJMRE0LmVUTC5c6tm+rdZCNCMvAC+2WccyEXzquvb8q1Z7DpQxNVv/czg7kk8cn5vHv5yE9/+vt/9mENn7n1dLT3CYnbPaL+xYgczxqYCeCXQA7q1ZNKw7mCq/Czcam8ebN5MwmPTOWfue1hsnoR/x9kXEPHmHB5bsJlj2ycwfnB3rz3wc3/cyfVDu1Xb94ISG39mFnJKl5ZBuVfdVycPiPhT+cKPP27PdLfrZpqIiEhoUiIfxMLCwhg2bBhhYb75GOt77FYgF82rqW+ufenLtmZxz/xfSenY3CuRP7SIXfl/NC/bWsUZ7HWQc9DKtYO6YMbE8vQsbp6bxlUDO3PT0G5YzCZio8JYvyuXMDNYTCa+mDyAwhI7cVFh7MsvYf7avyq/ebBhAzz+OLz/Pq4T6H/o0JtPep3Kh33PYED3JB7GxLj+nXlt2TavInuDuiVx9aDOxB26RvcQcVFh7M4v4eEvN/H0RcfStXVshcc0RrJ8OPEQyFtBROrKdUM2s6CUA7l5fHVKAq3iVDNCmjZf/1tJJJgpHkKLPsUgFx0dOMmGr5eb+1JNfSu/L31FejYTBnSu8JhDVxX4slp6XEwY8THh3HRqV+48u6c7SS8sLaNFbAQOp5NurWNpHRfJvZ9uZEW5mXrX+fJe7/v883DrrV7vsa3T0dw5YAK/HHmMu21lejbrd+UyP+1vlh+yfH55ehaY4OHzelW5/31At5ZEWMw8t2grMREWcovKKiTsRVY7dzZwspxXZCWzoJS8olISSky0iq05efH1yQMigSAhJoL46HCSW0QRFhaGyVT9iRIiTUEg/VtJxN8UD6FDe+SDmM1mY8GCBQFTxCWQ92hW17cB3VqStivXq62qyvGHripIiImga+tYUjo2p2vr2MNO/GIsFrIKSpm5OJ1zZ65k7Gs/cM7MFcxcnE5WQSllNgczF6ezO6+EtRnefV2Rns29839lX14xTJ0KJpN3Ej9mDNu+WcZpFz/llcS7dG8bVyGJd1m+NYsDB61MGNC5wr79Ad1aMmFAZ3IOWomJsDBjbCr3fforpz37PaNmreK0Z75n8tw0dh4o4pedOV7P9WXdhN25xUyam8bIGd/z14ZVjHzBeN/ducXVPs/XJw+IBIpA+24Q8SfFg4iH4iG0aEZefMbXy80bo2+uZPTmuWlej6+qcvyhqwr25ZeQc9BKfomN+OgwmsdE0CY+qk59yyuyYnU4eW35dlI7NueqAZ299qm/tnw794w4huVbs3A4nVw10PuceZPTQfT/vqLNtf0qvPbfn33N/pSTiAwzM4m9xrnvVu/j64qt1R93FxVh4aEP1vHSZccRZjFTUGzMtpfZHdz07lpeueJ4rhrYudLK9su2ZmGvpM+ua/Wtm1B+Vj2yXA3A2syqB/JWEBERERGR6iiRF59qnxjNUxcdW+/ktqH65loKn1dcRkmZnVXbs7l5bppXcjuwkhl6qLiqICP7IFPn/+qVvA7s1pLHRvWhY8tmte5XVqEVq83OpScnM2flDq+E13Wjoeyfs+NXpmdz1T/L/i0OOxdtWMSEXz6nZ1aG92v+7ztu/bsZy1dlwapV7teaMTa1wnibRVReBd8lJtzCnAknMe3zjRXGOmfCSYSbIbVDYoVE3aV8nw9V32S5PgUWA3kriIiIiIhIdbS0Xnxqd24xt3+0nrNeWM6Y/1vNWc8v546P1te4zLmxuJbCH5fcnE5JzdiwK9crqR3cPYnHRvVhy558r+cduqpgX35JhSQejGXu98z/lX35JbXuU16xFZPJxHs/7iS1Y3NmjzuBWZcdxxvjTyS1Y3Pe+3Gn1z7XsqJiLl33P5a8OpHp37xIz6wM8iNiyJo8BfbuJe9gqZHEH5LgrkzPZs7KHVw10Dupjgq3VHvcXZjZVCGJd431wc83YqnFHtyqtirUN1muz6x6IG8FERERERGpjmbkg1hYWBgjRowImMqTwVY8rLpidU9fdGy1RexyDlqrPVs956C11qsQYiLCwASXnpzMez/uBIwZ7pIyO/27tmT4MW0wmeHO1EQuuPZftH0im7P+eW52dDwf9TmdtZddz7QrBkDzGLL+v707j4u6zv8A/vrOzXAzeICCooP3hSmmgIpHW5qmpZa5KWrr7rZmaa6llWa69XOzbMu0C9HaVkstLbvMI+9bzLxFUcgLUW6GOb+/P3BmGGYGEEGY8fV8PHwU32s+nxneju/v5/N9f7IK3Y5Slx8dT9BqoJQKmJyote23si53V2ioeB35AoMZGj9lhX109ahCTSTLZUfV9WZgxn4p9GWeHKjoRkF9fhSE6E7Ut+8GorrEeCCyYzx4F36KHk6n08Hf37+umwGgfq8j7467JfcqW4ovv6TiIiH5JSbbkmt5OgPUShkkggCZRICm3NJrEokAURSx9lAmnh/QCgUlJuSXGNEoQAW5VEDx6TR0fKgXWhsdR5fn9v8LVnX6E7q1a4pXh7RDkaG0TXk610Xa1AopJsRHoXGgCl9Out/2nPvVghKUGC0Y3DHM9ny+UibBtfwSlBjNyK9kMkVBiRHbz2YjXqtxqKZvlRAdiqwCvcO2mkqWraPq289mQwAQrACu6QARVbtRUJMrDxDVJ/Xpu4GorjEeiOwYD96DibwHM5lM2Lp1KwYNGgS5vO6f572XiocFVGFt9ckrUx1ubFifd3/zh5OY+0gH29JrEgEwi8Bf+2ix4KdTttHvBoU5mJ32M4b8/F+Ha5d0i8XepSvRXemDeJkEWQV6/Hr6GrpEhAC4NcJfjrWqfPln8OO1Grw2tAP+9t89eCI20mEWweW8Esz//iTW/r1XJX2VY9nOdLw3OgaCIDgtM7fgsU5QK6SIbR6CglvL0vkqZSgsMSE1I+eO1pUvO6q+7/x1zOxixoz9UvRoUfUbBZXdtCHyNPXtu4GoLjEeiOwYD96FiTzVGE8oHmYdJS+7znl1krhgX4XbEeh4rQZ5OqPLZ9QBICYy2OFRA7lEArPFjLd/Lk3im+RlYfr2zzDo9C4ozfabHz9H348vpv0bsx+NQdI72xyuveZvPeGnLA1niURwWvfdXVX5nWk3MPfb43giNtJtsTo/hbTCvvoppCg2mDFlZSrW/yMOEkFwObpt/a+1jkJNrStvHVW/lluMkwe24bt/xKNRkJrJORERERF5LRa7oxpT08XD8ooNOJdViNSMHJy7XnjHa45b1xsvv855dQrxqWQSvDa0A+LLFYmL12owf1hHTP7fYZfn7Uq7gZiIIId1ynOK9bCIQPbuA1j4/SL8+vFfMPzEr1CajUgNa42Jj72Kzcev4K+PvoLtF/KhN5qdrmu2iAj2LX1/ZRLBad33mIggt8+570jLRq8W7ovd3SzSY94w132dN6wjbhSVFvYrNpghEQS0bOiHLpHBaNnQzymZrqyOQnU/40C1AlENSlcKiGrgyySeiIiIiLwaR+Q9XH0qVlGTxcMu5+qcEr47GbW900J85UfyZYKA8Sn78drQ9njxoTYoLDHDTyVFVr4eadcLbUm6KwazBZP7aaE3mZGakYOwtf9D42nP4scyx+xo1gXJ3Yfh1xb3AYKAx8yibV+RwTmR91PJbNPiNb4KvPnDSYc16SubDSGXSZxG8a2PAijkMoxN3o8PxnTFrFvryPv7yGEyWzA2eR8+HtsNQNVu1tR2HYX6FA9EdYmxQGTHeCCyYzx4D36SHkwul2Pw4MF13QwHNVE87E6S7vIJt59ShiK9CSVGc7UTSFc3FRKiQzFnaHs8W25NdgBIHtetwv41DfbBf/deRMbiT/Hedwsd9l31C8Ffh7+M38JbO2wvW/XdR+E4kSZOq4FfmefiA9UKzH2kA15ae9Q2Xf67Z+MrbJOPXOqQ+CtlEqRm5mLKylRsmByPZho1hi7e5XRevFYDH7mkyjdrarOOQn2MB6K6wFggsmM8ENkxHrwLE3kPZrFYkJ2djdDQUEgk9ecpiTstHuZu1FatkKJTRBCu5JXgfHaR0zPurhLueK0GSXFRLpc/KytP5zqBdHdTYcfZbFhEERPio5yeLU/NzEVCdKjLPiS0DEH26vV47u1/I/aPEw773p80D28HxzidE6fVIDUzt/T86FBsP3PdYd+z/aIRpHYccQ8P8sFbIzsjp8iA/BITAlWyCp9zL9QbXT4jn6ANhY9cgvnDOuJSrg55OiNUcikOZ+Tg5OU8zBzUDlIBVV5asDbrKNTXeCC62xgLRHaMByI7xoN3YSLvwcxmM/bs2YNBgwZ5VTC6GrV1V3XdOt3eVyF1mXDvTLsBEcCsQW0rfE21Qurws3VkX29yP5KfmpGLFx9sg5iIIOhNFluCe+F6Id4c3hGzvvkdBy/mYEJ8FGKaBKDBph/Qds4kyK9cBgDopTLcUAch7/0PMelqMD6bGIt96445JNvW6e1TVqYiIToULw9qi2KDCasm3Q+1QgqZRIBEIkBnMCNQbW9b+ZsaoX4KrJrUE69963j9eK0GbwzvCMmt/3fe1wGiIODVdUexo8y+hOhQzBnSHj5SAU00vhW+t2WVXS6uvDtdV95b44HodjEWiOwYD0R2jAfvwkSe6h1Xo7buqq5bp9vPe6SD24R7V9oNSCCgX5sGaBce6JR4n7icB6lEsB1fNgleMqary2tabyy89dMphwTXmhg3DVHj/dExyM3Ow/Gnn0OzQzugvfmH7biL4/6KcUHxuKAKxpo+PZH54R6H59ALdbeexZcKyNMZ8fXfeyHQR45cnQGLfjnj8JrWUXkfhRSBaoXLWQTZhQY88fEeLH6yK14Z3A75JSYEqGQI9lXYnq1/e1QX2wi+dZ9KJildRq/c+77jbDbmfncci0c7zyCoSE3WUSAiIiIiulcxkad6x9WobUxEkNvl0bafzUaRwVThNUVY8NJDbUuTz3LrqM8e0h6yW4l8+STY1ZR8tUKK90fHYPmudKcEd2faDby87hgWP9gcfgMTEXjyJJrd2pen9MXy+4ZgxX1D0LZTCzwcGYzFW9KwL/2GbSp++efQE6JDsfjWtPWL2UWY//1Jp5sZ1p/fGNYRgWqF20cTSpP5vdg8rQ9io0Kc9jcKUDmsIw8A57IK3d4g2VHN4nQ1UUeBiIiIiOhexjkVHkwQBPj7+0MQhMoP9iDWUduyS9npTZYKzylfcK48pUyKed8dd7mO+rwNJ6C+tQZ7+SQ4NTPXYRk360i8Si51SuIBwE9fjAc+eB2BTRtDevKkbXvWA4Oxb+thdEz+D558+D6kZuQiJiIIAGCyiHimb0uH1wFKR9qf6au19a3IYHK7hNyutBu2mxm3W1CuomX+aqs4XaBaUeEyddXhrfFAdLsYC0R2jAciO8aDd+GIvAeTyWTo169fXTejVpQftVXJpRUeH+gjdxrFVyukmBAfhZ4tNLhRZMT4+BboHBmMZTvTHRL/QxdzoDOYcC6rEDeK9FiW1B2HM3KwbGc6lu1MxwdPdsXgjmFoFKCCXCqBTCrARy6FWiG1XUdTlIuxhzcg6dB3CNQX2a5d2LIVpj77Pn65YgTWnwVQmqC/NzoGJkvpknIdwgMxccVBTIiPcqoaP3HFAaz9ey+EBfm4XHauLGtbbqegXGXL/NVWcbpr+SX2afw+MgSrFU6zAW6XN8cD0e1gLBDZMR6I7BgP3oWJvAezWCzIzMxERESEVxasKFv9Pq/YUGGRtIb+Six4rBN+PXMdDf2VMJgtiAhW4+gfufjLZwdtSa41iZ5ya9k46wj7q+uOOT13/t7oGMz99jjCAlVYtvO8U7G390bHYN7Hm/DnXWvwlwPrbPvOhTRF4ISnUPzsVMzceM7tVPi5QzsgeVw3BKjkKDaYsWxnemlhvFvP8HeNDAbigSJ96ah3kE/FSXPgrf1VLShXlWX+aqM4XcaNIsz85neH98VaWyDyNgrnleft8UBUVYwFIjvGA5Ed48G7MJH3YGazGUeOHEF4eLhHBmP5Nd/LLiVXXlWKpBUZdPjh6BXsSLPvL5+4W5NH67Jx7oroWX/+bEIs/vX9CXSODEbSrdFylVyKG99sQGLHOPSTSCExlk5F1zdsjJ8nvYTvonrg1Uc6osRkrnAqvN5oRruwAOSVGN1W5Y/TavBY1yYAgIb+SvfL2t26mVHV9wpwv8wfUJrMZxca0LKhX40Wp7uWX+KUxAOljzjM+uZ3vD2qS7VH5j09HohqCmOByI7xQGTHePAuTOSpTlQ2pduVioqk2UaX0xwT0/KJu3XbhLgoABUX0duVdgN6kwVP9GhmS7AfPrkdi7/9t/0gsxk5992PsxOfRWHf/ijKL8FLLTQ4eCEH7ZsEVPgeFBvNaB/kg5LrZrwyuK3bGwqz1x+3FbxbUMWkuioF5ar6/HtNFqfLKTK4vbmxM+0GcooMdzzFnoiIiIjI2zGRp7uuKlO6KxqZd7WvotHlsom7VWXF86wK9Cak7EpH4fbdWLfpQ3S5ctZh/6dPvYT54fHARQArDiJOq0HzUF+0auyHW4/Au+V7a+36/BIjOjYNxKxvjrk8rmx1+NtJqt29V1a38/x7ZdeqqvySilcXqGw/ERERERExkfdogiCgQYMGNV558namvFdHVaZ0u3s9d23L0xlcHm9VPnFvGuyD5HHdbM+VuySKaLRzC/4+fz7iL/7msOuPf/8HLwbHup2S/9rQ9sgtMiJOq3E5Ah2n1cBXURp+fko5zmQVVNj+stXhayqpvp3n32vqdyJAVfFfOZXtr0htxQORp2EsENkxHojsGA/ehYm8B5PJZOjVq1eNXrM6U95vV3WXNKuobWpFxb/KZdeDj9NqsPHENSzekobJ/bTOybYoot+5A5h55BtE/vt3RAIwCRKsa5+Ij2IfxdkGzfDt6DjsKrfmu9WutBswGC3wV8nwbL9o27ayr/9sv2gEqe3F6a7lV310vKaS6qo+S1+TvxPBvgrEazXY6eLmRrxWg2Df6t+gqI14IPJEjAUiO8YDkR3jwbswkfdgZrMZZ8+eRXR0NKTSipdnq4o7mfJ+O6qzpFllbXtlcFv0a9MA7cIDbVXfVXIpDmfk4MTlPKRm5gIoTaLHx0VhyspUAMCynelIHtcNEkHA3lNX8MH6BXjg7F7b9S1KJda37Im3ez+FPwIb2bYX6yteCq7IYEYzjRqBPnI83CncYVm5rAI9moeoHd7LihLcsqPjNX2jpbKp+jX9O9EoQIU3hnfErG9+d+irtWr9nTwfX9PxQOSpGAtEdowHIjvGg3dhIu/BLBYLTp8+jZYtW9ZIMN7JlPfbUZ0lzSpq28GLOVBKJXj14XZ4Zd0xh+J18VoN5g3rgNxiAwZ3DMORjBxbBXsA6BoZhAYSIz79cAqUB/c7XDfz6cmQTJ2Ktbuz8Ee5BFsmrXhKUqCPzJaU9mvTEDnFBhSUmOCvlCEi2AfFRjPyikvfz+xCA55K3odPx3WHgNNOVfdff6SDY0G/Gr7RUtFU/dr4nYjU+OLtUV3s68irZAj2vfN15Gs6Hog8FWOByI7xQGTHePAuTOTJpqpT3qs7tbvsea8MbodDGTmYt+GELalOiA7F6490uK22WZdt23/hJr797bLLZc1mrzuO1x9pj/nfn0Db8EC8PzoGepMFPgYdxE+T0eTZd6EsKbadY5HLMW3uSqzLUyHiuwv4bEIsXl1/zGEE+fz1wgqXglPJS6fyuxpBt84KePOHk5j7SAcU6o3ILjTgyU/2YkJ8FJLimttG71Mzc5GvMwDwvWs3Wsqq7mMQlWkUoGJ1eiIiIiKiamIiTzaVTXkP8JFXe2q3u/O+nxKPi9nFMIsiUjNzMei9HejWLNh2PWvyb7KIWJbUHYczcrBsZ7ot+beuAz91QCvscLOs2Y60bJSYLNh86jo2n7qOgJJCPLPnK4z8fRM0unx7G/1DcXD1z1idabBdKzNHh5Ef7cGCxzph5kNtUWQwwV8lR4BKhhYN/ABRdHjdBK0GkxO1CPJxP4JuvdkQExmMl9YexbxbNy+KDWaXS+EN71K6jnxtJdUVqc5jEEREREREVLuYyHswiUSCyMhISCSSyg+ugsqmvPsqZZi++rfbntpd0ZTwV9cdQ5fIYIcEdvvZbMxZfwxzhrTHzG9+dxrNfm90jG16fNdb5z6bWPFab4UlJjQqyMbYw9/jqcPfI8BQOgJ/MagxPuwxAo/9ZxZGpBxGcmQT7Nh60OHc7EIDJq4o3bZ5Wh+0bOgHAJAIAgZ1CkdSueffm916/v1cVmGlS+It3pIGg9lSpUcN6iKprs5jEHWlpuOByFMxFojsGA9EdowH78JE3oNJpVLExMTU2PUqq2JeWGKq1tTuiqaE70y7gfHl1ngHgNZhAZj59VGnUXbraPaE+NIkWCmTQK2QIsBHBrVCignxUU7F7g6v/B7dWzyMfWWuczo0Esu6PYI1HQfALJFiXKAvgMrXly876h0W5INBHRo7FIrr1izY9h5UNoJufa0ivalK1ePrIqmuamX7+qCm44HIUzEWiOwYD0R2jAfvwkTeg5nNZhw9ehSdOnWqsYIVFVUxT83IqfDcPJ0R57IKkaczQK2UQSIIkEmE217jHYBtpL2ssol6gEqOhzuGQSGT4IMnu+L4pTwkj+uGxVvTbOe1v5qG71c873Ttvzz6CjZpYyEKpXcj47QayG/dmbTeGHB1Q2DZznSnUe+KCsVVNoJuXRLPXyWvtHq89bXqIqmuStvqg9qIByJPxFggsmM8ENkxHrwLE3kPZrFYkJGRgQ4dOtRoMLpLTitLTEuMZjy6dLftZ2tRN19FxW2LCPHB8qTuKDaabUmzvFxVeGtRu5Rd6Q4JfkJ0KJ7p2xJZhXpbsbt2187jmb2r8fCpHQ7XuDhpCnaNn4onAn0w/FaCfjVPh7BAH+QWl95sOHbZ+YaAtS/Lkrrf1qh3RSPocVoNUjNzHUbSK7opYFVXSXVV2lbXaiseiDwNY4HIjvFAZMd48C5M5O9ht1t9vqLENF6rwe7zbqbBx0W5XSO9X5sGKNKboPFXQJejg3DrWkFqhcPIeIivAu9sPO1UlX7H2WxYRBFTB7TC5uT1+GpbCmL/OGHbX6jwwTvxf8bI/y7ElTwdftiZ7tCOBK0G4+Oj4KsqDQVRBJZsTXN6nV1pNyARBCweXfXpSO5G0K03OL7cn1GtkXRPSKqJiIiIiKj2MJG/R1Wn+nygWoH5wzpg1je/OyTD8VoNZg9pjyc/2et0zq60G/hLfAskxUVBEATb66kVUrw2pB06Ng3C5Vwdig0WHL+cj2U709E1Mgj/fLANUpK64b0tpSPjyeO6ua5KL4povXIZWn1yHF/vt88G+LZtbyy5fyRONSx9/v4hvQnJO9OdbwSk3YAIYO7Q0srxsc1D8O6msy77v6MaS7yVHUHP0xmhVkghlQiQSgQsHNmZCTkREREREd02JvIeTCKRoHXr1rddebKiKvKVVZ9/fcMJdIkMxvgyldpTM3Ox6JfTWPBYJwBweK581f4MBKrlyCk2Ykr/aLz4YBuYLRb4KGSY991xzFj7u+36ZSvSL/zpFAZ1DLMl3uWfo5dazPj3D+/iseNbbdsMEhnWduiHT2IfxXlNU4fj/ZQypyTeamfaDRjNFmye1qfS5/mrs8QbR9DvjurGA5G3YSwQ2TEeiOwYD96FibwHk0qlaNOmzW2fl1tsRFKv5hgdG+lQyK3YYK60+vymk1nYdDLLYdp7xyaBGNo5HPO+O+4wat6vTQN88fT9mL/Bvl2tkGJZUjcs/Pl0pRXpJ8a3wOR+WsREBMFXIUNKUneIRiOafLMSref80+FcY3hTTH/uA3x70/l5n3itBhLBabODEqMZbcICcPZaQYXH+SoZMvVVdeOByNswFojsGA9EdowH78LbMR7MZDJh9+7dMJlMVT7ncq4Or6z7HRNXHMQzXxzGhOUHkJqRg/dGx0B9qyidu1Fn63Jq1sJzqRk5mLjiIH6/lIe55ZJ4AGgXHojXyyXx742OgdkC19PkUZrMx0QEQa2QIixIZXuNcUu2YdNzc9GhX6xTEv/bj7tw7tAxDB3SA3FajcO+OK0GSXFRqHiVefsa7AqpxOkaZa+lkDJk6qvqxAORN2IsENkxHojsGA/ehcOLHkwURVy/fh2iWFmaWso2pb6SkfDyS6xZ+SpktuNSdtmfN4+JCHJaKs7Vdut5Y3o0q7CdepMFE+KjMH/DCaSe+ANPH/kRz+1aCX+DrrQf/sFI7/Mg/h7xAK4ENEDCH1K81AmYsjIVE+KjMKHctP8pK1PxzTO9qrQGe67OYFvXvuxUfGuButKp974Vtp/qxu3GA5G3YiwQ2TEeiOwYD96Fifw9JLvQ4PRcvNWutBuYEBflkNSWJ5cKiNNqHBJ0tUIKuZtR6vLPtVvPm3ArUXZHKZMgUZqPP08dDKXJiOCS0unuBokMbyROwKrOD+CDp+NxZcVBAMCOtGzMhIBig9nlDYXStkuqtAa7n1KO0Z/sc3tD4LvJ8RW2/U7c7ioCRERERER0b2Iifw/Jr0KhtrJJbfnE0mS24C8JLWC2lN7Fs06Vl7p5AF0psyf4aoUUIb4KJI/rhhBfBRK0odiR5nxT4UlFNvq3a+yw7XxwOJbePwLr2ifCKC2dLVD+JkF2kR5xWo3Lgna9o0Oh8VWg2GDGQx3DMK5Xc1uCnlWgdzg21E+Bbs2CXd4QqOgmx52qzioCRERERER0b2Ii78GkUim6dOkCqdS5wJsrAW6mzFtFhqgRditptCaWhy7m2IraAUBEiA/Mt3Jo61T5mMhg9GvTAO3CAxETEWSrWi+KIvq3aYA952/ivdExeGdjaYE76w0AEaJtGbumedcw/9g69N35nUObPo8ZhDkD/gqLxLGPZW8SAIDJLLqcEp9wa8QdAGa4qNQPlCbM1kr97tZ+7x0din/fus65rMIaHTWv7ioC5Oh244HIWzEWiOwYD0R2jAfvIoh8SMKl/Px8BAYGIi8vDwEBAXXdnBqRV2zAsytTXT4nnhAdilcfbgeZRIBKLsXFG0XI1RkREazG0T9yMf/7kwCAD57sCl+lFCazCIkgoNhoxskreRjYrjHmfnfcIYmO12owf1hHHEi/gXW/XXbYZ616P0B3CWEpH6Lhhq8hmM22/alDnsTbD/8DO8/nOLU1TqtBTKR91Nz687Kd6babDv4qOXwUEpy6UoB4bSiKDWY8/vEeLHisExoGKFFYYoa/SoZr+SV4ce1RfDmpJ1o29HN4r7ILDSgoMcJfJUeonwJFBnOtjJqfyypE/3e2ud2/eVofh7YREREREZF3qmoeykTeDU9I5E0mE7Zv347evXtDJqva5IqMG0WY9c3vtpFwoDThnj2kPSYuP4A5Q9s7FLID7IXeTl/NR9fIYHywNc3h/DeGd8CPv19xWYk+QRuKuY+0R7+3HRPVDlfT8I89X+GhM7tt24r79se7MUPxsbwF1EoZ3hsd49SW+FtV6KesTEWxwWxrm/VnqzV/64mxy/aj2GBGQnQopg2Mhlohx+sbnG82vPpwexhNJnRoGuz2fcsrNmDyytRKR/SrIzUjB8OX7Ha7f90zvdAl0n3bqFR14oHIGzEWiOwYD0R2jAfPUNU8lJ+gBxNFEQUFBbdVtf71DSfQJTIY48sVcvu/H0/itaHtsaxc4gzYp6rPfrgdXt9wwml/owAVDmXkYnI/LbpGBkMmERDiq4DRbEG+zgSLKEKtkKJYb8LkPV9i+o7/Opyf2yMOkzqMxKtzx+Hj93cBAIoNZqcq9M01alzNL4GPXIrPJsQiT2e0FaErm8QDgFohs23bcTYb8x5pj5fXHXNq+860G5i34TjeHN6xwveuokKB289mI7vQUO1EvrJHHtytIkCObjceiLwVY4HIjvFAZMd48C5M5L1EVSqeZxcasOlkFjadzHJ5jakDW2HXrWfYrVPUrc+7H87IgcksuiwmZ7KIttHzskXirKPlC74/gZ/Pr0bEF8sczlvbPhEf9hiBl6Y/hv0rDqKoxDEZL1+FfsmYrnjmi8MAgJ+eS8CiTWdctidOq4FQrv6ezmhxeSxQmswXlbsRUF5lhQILqlBI0J1QP0WVlsYjIiIiIiICmMh7hat5JZi1/kSlz26XTUZdJesyQYJQv9Jib9ak3HpczxYal8luqJ8CrRr64XJeCcb0aIaJ8S1wOCMHy3amY8+ZLMQe3Ix/bfwcDdNPO5w3+ol/YU+zzkjQhuL3S3mI02ogk7qufm9VtsBdQYmpwvXedQaTw7n5uooT7fwSU4X7a3PUvKICe2VXESAiIiIiIgKYyHs0qVSKTjHd8PL649hx1nG0uXzF87xiA3zkUiwZ0xW+ChmCfOV466dTDiPeCdGhSE7qjv9sOoPUjFxMHRiNhzqEYd53x7F4SxrW/K2n7Vi1Qop/JLbEQx3CMHv9MYfn43s3D8Ra4Tf4ffIuInKvOrTr4XHv4lhjLYDSpPuZRC0ybxZhfFwUdqZlu11CLk6rQWpmrr3vEgH/23cRMZHBTuu9r9qXgQ5NAx3O9VNV/KseUMn+2h41Dw/ywfujY5wK7DGJrzqpVIqePXuyEivd8xgLRHaMByI7xoN3YbE7Nzyh2B1QecXzLS/0gUoudai2/vyAaBy6cNN1cbroUNzfIgStGwcgK78E+9NvYEJ8C8ilEhSWmGARLdAZLAgP9sGhCzex4fcrtsRbbdBhxO+bMGn/12iafx0AkKvyw/WkSRip6IaPn38ABSUmh6R72c50fDYhFmOX7QcAvDc6Bit2XXBYY758Qbt4rQYT4qNgEeFUDC9Bq8H4+ChM/p9jMTyJACzbme5QpM8qXqvB26O6oFGAqsL3+nKuzu2oeRjXeiciIiIiojvEYnf3AKPRiOP7foVSCujNrqelmy2i05Jp8dpQvLvprMvjd5zNxsyH2iJPZ8B9zYLRs4XGNuJuXf89K78En+w8jwlxUdiVdgPa7AxsSn7G4TpZvsEoHP80hsi6471JvZG74iBUcilGfbTX6TWzCvS2wnT/23cRSXHN8eJDbVCoN8FsEbHn/A2HKvVJcVGQQMDklYcxIT4K/+irhVIuQZCPAn4qGYr0Jvx3Yg+UGM3YfetctUKKL56+H/M2HHeq2P/G8I6VJvEAR83rO6PRiI0bN+KBBx6AXM4CgXTvYiwQ2TEeiOwYD96FibyHEy1mAO6nx5gtolO1dZPZPglDrZBiUu8WiNeGwmQW4a+SwlcpBaCA3mTBe5vOICkuCjMHtYVEIsBsFtE4QIVZ3xzDxAgpLix42Ok1X37gGazpOACLxt2PLvsuIjUzF3Fajds2Wp99T9Bq8NJDbZGeXYTCEhMmrDhge45/4cjOtlH8KStTsXBkZxQbzEjNyEGXiCCk7ErH3Ec6OCTkl3N1+HDbORQbzCg2mDHm071Y/GRXvDy4HQpKTAhQyRDsq6hSEm8VqGbiXp+ZTBXXOiC6VzAWiOwYD0R2jAfvwUTeC8S11GDLmZtO23tHh6LY4BysaqXUlsAPbNcQZgsgCAJ0RgMAGa7k6WA0imgSosILf2qDN74/gSd6NLNNY08eEIZXNn+CPot+crjuzmadMfGx2dDLlQCAQB85xsdF4X/7LmJyYjS2nnaulp+gDUWIrwLJ47ohNTMXwz7YhWKDGcnjujlVrS+rabCP7RzraL3edNRhPXeOoBMRERERkTdiIu8F5g7tANP6Ey6f3bZOWbdWn+8aGQylTIJl47rjkx3n0LlpEK7k6dAoQAW9yQKjWcS1PB26RYXg0IUcrPvtMmIig5GyKx3SjRtxYfUcYIHj6xfLlej83CoYpfYpOgnRoWjgr8TlHB0GtmuMhgEK/F6mWJ31mHG9mmPMp/uc1oFPzcxFgjbU4Vl5qzitBhtPXHNK8l2t584RdCIiIiIi8jYsdueGJxS7E0URBQUF8Pf3R77O6HLkOa/YgOmrf8PjsZFI2ZWO01cLsGJ8d5y+WoCYZsEo1ptxNb8EgiDYlo27LzIIc4a2h95kxuD3dmFL0Ta0WPyWw2ufbNUFb3cbgSdenoiU3RfKFZwLxatD2iE9uwgyiYCmwT4Y8+k+fDmpJ/RmCwp0RphFETqDGV/su4gtp6479W1Am4Z4aVAbzP32hEMyn6DVYFyZwnflrXumF7pEBtfgu0yeomw8CELFSxkSeTPGApEd44HIjvHgGVjs7h7h4+NYLd0iijBaLLhWoMfNIgNUMglmP9wOl3J1+Oef2kAll0AiADGRwdh77gYaBqhgsogID1RhQJtGiNeGQmcwY3/6TQx68wVcWL/W6TX/PeBpdH1vPnS70jFl1RFMiI/ChFtrujcMUGLzySzbFHkAWPrnrsguNOBGkQFJKfvx2YRYPP7hXlvxPKPJ4lBBP06rwRM9IvHEx3vxwsBWeG5ANLIK9FDKJAgLVGHEh3tcJvHAna3nTp6vfDwQ3asYC0R2jAciO8aD92Ai78FMJhN++OEHdI3rh1nrTzgUtevXpgFmDmqLYqMFb/5Q+oz7xzvOY1zP5vBRSOGrkKFhgAoSQUBYoBKLNp0uHRkXRfQ7dwDL1r7u9HrTBz2PNR0HAADUK1NtCby/So6CEqNtObnySbZCWlrMzlcpRbHBjKwCPQCg2GDGlJWpWDXpfiQV6B2WpbOOuM/85hh+ei4BMokAf5UcfioZujULrrX13MlzWeNh0KBBrMRK9zTGApEd44HIjvHgXZjIe4HZ3x7DjrOOxe46RwRBtIh4bcNxdL71jHuvlhooZRK8v/mswwh4vFaDpJ7N4PPjD3h6xyrEXDntcK1f/zIDn8QOd5g+by1EF6fVYEJcFJaVW8/dKk6rQWpmLuK1GvgqSqvrW6vUW6/zR44Oz3xx2G3/Soxmh+ny//dYJ7frufN5eCIiIiIi8nZM5L3AmNhIjOzeHCq5FEf/yEWIWob+rRvBBGDWoLaQSgQ83CkMhSUmGM0WdI4MxqGMXBQbzFCYjEj6vykYcO4ABty6XolMgfMhTfBhj8fwl6Uv47+/nMH4Hs0AwCFZj9NqMD4uCi+uLa0WLwEcbhBYi9mt2peBpLgolJgsAICs/BKHQnZlE3tXyk+XZzV6IiIiIiK6lzGR92BX80oAAP9YmQq9ubRgxeCOjfHSn9rAaBFxOCMHXZsF43JuCXJ1RqjkUhzOyMGJy3n4YGg0NI8MQqfLZxyuueT+EVjW7RFk+5aOgA/KKcGUAa1ws9CAlx5sA5lUgpwiA0pMFhzOyMGUlamIiQxCidGC+5qHICkuyjZFPjzQB7k6A0b3iMSzK1Px2YRYbJ7WB/4qGXq2DMWr649hx9ls2zrzrkb03U2XZzV6IiIiIiK6V7FqvRv1vWp9XrEBk1cexv7z2dCbgVA/Jd4a0QmRGh+oJVKYABQazMgrNsJPJcO1/BK8uPYouquNeGfhJPhcueRwPZ1Mib3fbcf4Xx0ryH//bDxMFguyCw24ll+C+1uEwGAScTmvBGqFFEV6k9tn4794ugd0RrPtefefnktAmzD7e5lXbEB2oQFFeiMCfBSYvf6Yy+nyYUEsykGVE0URJpMJMpmMlVjpnsZYILJjPBDZMR48A6vWe7nsQgN2ns1GG40cLw+LQUSwGmpBgAGAXgReXve7wwh3vFaDL8bdh9aRGofrZAY2wrCn3sYN3yAkN2sGwJ7Ix2k1OHopD+1uJd+CICC32IBgtRLhgSoYzBZ8sCXN5VrvCdpQlJRJ4uO0Gkgljn9hlB9V53R5ulM6nQ7+/v513QyiOsdYILJjPBDZMR68R8UPJ1O9lV9iRAuND/7WqgRhfgpYANw0mnGlQI8reTrERAZDrZCi5Y1MyM1G7Ey7gXk/n4FFXpoY53WMwc97ziDhb8m44RuEBG0oUjNzbddPuPX8+7wNJ5BdqEfKrnR0bhoIfx8F5n1/Ao8u3Y2tp7Pw6sPtkKANdWhbvFaDcXHN8WyZJH58XJRTIl9eoFqBlg390CUyGC0b+jGJp9tiMpmwdetWmEymum4KUZ1iLBDZMR6I7BgP3qVejsjr9XrMnj0bn3/+OXJyctCpUyfMnz8fAwcOrPTcS5cuYerUqdi4cSMsFgsSExOxaNEitGjR4i60/O7xU0rx8VP34di+bcgq1GPJtlMOheYmWDJx4q2/AwD+1/lBzHpwMnam3cDJ1NMYnnIE747rYSsyF6fV4PVH2qPEZEHXyCA08C9dC946mu6nlOGN4R1x8EIO3vjxJJ6IjcSYW8XvREHEghGdoDOYkaczQm8yo9hghlQQsHBkZ9tycl/uz8DCkZ3v/htFRERERETkZeplIp+UlIQ1a9bg+eefR3R0NJYvX45BgwZh69atiI+Pd3teYWEhEhMTkZeXh1mzZkEul2PRokXo06cPjhw5Ao1G4/ZcT5JXbICfTIpfz2RDDeCj7eewIy0HANA/bR+S185zOP7J337CrAcnAwDyVf4wyOQI8pEj2FeB76fE4+gfeTh44SZahwXgcIbz8+5BajlEi4i46FB8GdGzwqnvl3N1XBqOiIiIiIioFtW7RH7//v1YtWoV3nrrLUyfPh0AMHbsWHTo0AEzZszA7t273Z67ZMkSnD17Fvv370f37t0BAA899BA6dOiAt99+G2+88cZd6UNtK9AZUWg0o4G/EkXZUuw5fxMjj27CWz/+x+nY9L8+j8TA/raf/VRSxGs1CFYrcOyPPEAoXXO+UGfEEx/vdSpYlxAdisYBKlsS3qiSun9cGo7qkkxW7/5KI6oTjAUiO8YDkR3jwXvUu6r1M2bMwDvvvIObN286VOl78803MWvWLGRkZCAiIsLlubGxsQBKbwaU9ac//Qnnzp1DWlpaldtRn6vWn79eiPTsIuhvrcs++fMDOP/WIw7HzO3/F6R0ewRLxnTFM18cBlD67PrkftEIUMlQbDAh1E8JmSDALIowWkTM/fa40zrw/2bVeCIiIiIiorvCY6vWp6amolWrVk6NtibpR44ccZnIWywWHD16FBMmTHDaFxsbi40bN6KgoMBtlUa9Xg+9Xm/7OT8/HwBgNBphNBoBABKJBFKpFGazGRaLxXasdbvJZELZ+yJSqRQSicTtdut1rax3yMoXoCi/vUinh2g2QSGVwlSUC6VcwPdtEzD45A5MHTod37TtC6kgQikRoRAsUEpF9IzS4LVhHWE2mwGLBWofGSRmM0RBwLwfT2P/+Wwk9WqGcfeXvrdNQnwRHqSGr8KxnbXVJyu5XA6LxVLazlsEQYBMJnO73d3nUdefE/t0d/uk1+tx48YNaDQaSCQSr+iTN35O7FPt98lkMtliQSaTeUWfvPFzYp/uTp8sFgtu3ryJRo0aAYBX9Kls273lc2Kf7k6fJBIJsrOzERQUBInEXvPck/vkjZ9TVcfZ610if+XKFYSFhTltt267fPmyy/Nu3rwJvV5f6bmtW7d2ef6bb76JuXPnOm3fuHEj1Go1ACAyMhIxMTE4evQoMjIybMe0bt0abdq0wf79+3H9un35ti5duqBZs2bYvn07CgoKbNt79uyJhg0bYuPGjQ6/XImJifDx8cEPP/zg0IZBgwZBp9Nh69attm1mSFDSsD18s07j/2IBU+wLWI8X0LoYwG9A9wYiRre0oOjcQfw7FvAPMsFgNiPn0gVczUy3XcdP0xivDu6AC2eOI/f6WRSdK90uyFojMLwNdu/efdf6JJPJMHjwYGRnZ2PPnj227f7+/ujXrx8yMzNx5MgR2/YGDRqgV69eOHv2LE6fPm3bXp8+J/bp7vVp06ZNXtcnb/yc2Cf2iX1in+52n6zHX7582Wv65I2fE/tU+31KSEjA3r17UZ4n98kbP6f77rsPVVHvpta3bNkSrVu3dvowzp8/j5YtW2LRokV4/vnnnc7LzMxEZGQkFixYgBkzZjjsW7ZsGSZOnIjU1FR06dLF5eu6GpGPiIhAdna2bXZAfbmjdPZaAcZ8ug9vj+yMgrQDCG3dDZ/uysDu8zcgioDBIiBBG4Kx90di7aE/8OKDbeAjCCgUABUESAUgNFBVr/pk5Ql3ydin+tmn4uJi/PLLLxg4cCDkcrlX9MkbPyf2qfb7pNfrbbGgVCq9ok/e+DmxT3enT0ajEb/88gsGDRpka6en96ls273lc2Kf7k6fRFHEjz/+aPu3kjf0yRs/p+LiYgQFBXne1HofHx+HhNqqpKTEtt/deQCqdS4AKJVKKJVKp+1yudzhFx0ofdOlUqnTsdZfmKpuL3/dqm7XBKjRISIEL6z+Da/FAAG+Krw6pCP0ZguK9Cb4KmUQAAgS4JWHO8BsMcMkk0EbrHZ53frQp7IkEonDdJ/KtrtrO/t0b/apfMx6Q5/uZDv7dO/1qWwsWI/x9D554+fEPrFP7BP7dLf7ZE0YXeU3ro6vqO31pU/V2V7f+yQIgsvjnK5XpaPuorCwMFy6dMlp+5UrVwAA4eHhLs8LCQmBUqm0HXc753qaRgEq/GtYB8xedxRXirPwz6V7Skfho0Mx75EOUAiAHIBRBHx95AhU+9Z1k4lqnSAI8Pf3r/JffkTeirFAZMd4ILJjPHiXepfId+nSBVu3bkV+fr7DVIJ9+/bZ9rsikUjQsWNHHDx40Gnfvn370KJFC7eF7jxRpMYXC0bGIKfIgK73mxCgkiHYV4FGAaq6bhpRnZDJZOjXr19dN4OozjEWiOwYD0R2jAfv4jx3oI6NGDECZrMZH3/8sW2bXq9HSkoKevToYatYn5GRgVOnTjmde+DAAYdk/vTp09iyZQtGjhx5dzpwFzXwU8DHkINuzYLQJiyASTzd0ywWCy5evOjwrBLRvYixQGTHeCCyYzx4l3o3It+jRw+MHDkSM2fORFZWFrRaLVasWIELFy4gOTnZdtzYsWOxbds2h4IBzzzzDD755BMMHjwY06dPh1wuxzvvvINGjRrhhRdeqIvu1Cqz2YwjR44gPDzc5fMcRPcSxgNRKcYCkR3jgciO8eBd6l0iDwCfffYZXn31VXz++efIyclBp06dsGHDBvTu3bvC8/z9/fHrr79i6tSpmD9/PiwWC/r27YtFixahQYMGd6n1RERERERERLWnXibyKpUKb731Ft566y23x/z6668utzdt2hSrV6+upZYRERERERER1S3OqfBggiCgQYMGrDxJBMYDkRVjgciO8UBkx3jwLoJY9iFzssnPz0dgYCDy8vIcqucTERERERER1Yaq5qEckfdgZrMZp06dgtlsruumENU5xgNRKcYCkR3jgciO8eBdmMh7MIvFgtOnT3MJCSIwHoisGAtEdowHIjvGg3dhIk9ERERERETkQZjIExEREREREXkQJvIeTCKRIDIyEhIJP0YixgNRKcYCkR3jgciO8eBdWLXeDVatJyIiIiIioruJVevvAWazGampqaw8SQTGA5EVY4HIjvFAZMd48C5M5D2YxWJBRkYGK08SgfFAZMVYILJjPBDZMR68CxN5IiIiIiIiIg8iq+sG1FfW0gH5+fl13BL3jEYjiouLkZ+fD7lcXtfNIapTjAeiUowFIjvGA5Ed48EzWPPPykrZMZF3o6CgAAAQERFRxy0hIiIiIiKie0lBQQECAwPd7mfVejcsFgsuX74Mf39/CIJQ181xKT8/HxEREcjMzGRlfbrnMR6ISjEWiOwYD0R2jAfPIIoiCgoKEB4eXuFSgRyRd0MikaBp06Z13YwqCQgIYDAS3cJ4ICrFWCCyYzwQ2TEe6r+KRuKtWOyOiIiIiIiIyIMwkSciIiIiIiLyIEzkPZhSqcScOXOgVCrruilEdY7xQFSKsUBkx3ggsmM8eBcWuyMiIiIiIiLyIByRJyIiIiIiIvIgTOSJiIiIiIiIPAgTeSIiIiIiIiIPwkSeiIiIiIiIyIMwka+H9Ho9XnzxRYSHh8PHxwc9evTAL7/8UqVzL126hFGjRiEoKAgBAQF45JFHcP78+VpuMVHtqW48vPbaaxAEwemPSqW6C60mqnmFhYWYM2cOHnzwQYSEhEAQBCxfvrzK5+fm5mLSpElo0KABfH19kZiYiMOHD9deg4lq0Z3Ew/Lly11+PwiCgKtXr9Zuw4lq2IEDBzB58mS0b98evr6+iIyMxKhRo3DmzJkqnc/vBs8lq+sGkLOkpCSsWbMGzz//PKKjo7F8+XIMGjQIW7duRXx8vNvzCgsLkZiYiLy8PMyaNQtyuRyLFi1Cnz59cOTIEWg0mrvYC6KaUd14sFq6dCn8/PxsP0ul0tpsLlGtyc7Oxuuvv47IyEh07twZv/76a5XPtVgsGDx4MH777Tf885//RGhoKJYsWYK+ffvi0KFDiI6Orr2GE9WCO4kHq9dffx1RUVEO24KCgmqmgUR3yYIFC7Br1y6MHDkSnTp1wtWrV7F48WJ07doVe/fuRYcOHdyey+8GDydSvbJv3z4RgPjWW2/Ztul0OrFly5Ziz549Kzx3wYIFIgBx//79tm0nT54UpVKpOHPmzFprM1FtuZN4mDNnjghAvH79em03k+iuKCkpEa9cuSKKoigeOHBABCCmpKRU6dwvv/xSBCCuXr3ati0rK0sMCgoSR48eXRvNJapVdxIPKSkpIgDxwIEDtdhCortj165dol6vd9h25swZUalUimPGjKnwXH43eDZOra9n1qxZA6lUikmTJtm2qVQqTJw4EXv27EFmZmaF53bv3h3du3e3bWvTpg369++Pr776qlbbTVQb7iQerERRRH5+PkRRrM2mEtU6pVKJxo0bV+vcNWvWoFGjRnj00Udt2xo0aIBRo0Zh/fr10Ov1NdVMorviTuKhrIKCApjN5hpoEVHd6NWrFxQKhcO26OhotG/fHidPnqzwXH43eDYm8vVMamoqWrVqhYCAAIftsbGxAIAjR464PM9iseDo0aPo1q2b077Y2FicO3cOBQUFNd5eotpU3Xgoq0WLFggMDIS/vz/+/Oc/49q1a7XRVKJ6LTU1FV27doVE4vi1Hxsbi+Li4io/S0nkTRITExEQEAC1Wo2hQ4fi7Nmzdd0kohohiiKuXbuG0NDQCo/jd4NnYyJfz1y5cgVhYWFO263bLl++7PK8mzdvQq/XV+tcovqquvEAAMHBwZg8eTI++ugjrFmzBk8//TS+/PJLJCQkID8/v9baTFQf3UksEXkbtVqNpKQkfPDBB/jmm28wY8YMbN68Gb169arSTC+i+u6LL77ApUuX8Pjjj1d4HL8bPBuL3dUzOp0OSqXSabu10rZOp3N7HoBqnUtUX1U3HgDgueeec/j5scceQ2xsLMaMGYMlS5bgpZdeqtnGEtVjdxJLRN5m1KhRGDVqlO3nYcOG4U9/+hN69+6Nf/3rX/jwww/rsHVEd+bUqVP4xz/+gZ49e2LcuHEVHsvvBs/GEfl6xsfHx+XzKCUlJbb97s4DUK1zieqr6saDO08++SQaN26MTZs21Uj7iDxFTccSkbeJj49Hjx49+P1AHu3q1asYPHgwAgMDbXWGKsLvBs/GRL6eCQsLw5UrV5y2W7eFh4e7PC8kJARKpbJa5xLVV9WNh4pERETg5s2bd9w2Ik9SG7FE5G34/UCeLC8vDw899BByc3Px008/VenvdX43eDYm8vVMly5dcObMGadnePft22fb74pEIkHHjh1x8OBBp3379u1DixYt4O/vX+PtJapN1Y0Hd0RRxIULF9CgQYOaaiKRR+jSpQsOHz4Mi8XisH3fvn1Qq9Vo1apVHbWMqP44f/48vx/II5WUlGDIkCE4c+YMNmzYgHbt2lXpPH43eDYm8vXMiBEjYDab8fHHH9u26fV6pKSkoEePHoiIiAAAZGRk4NSpU07nHjhwwCGZP336NLZs2YKRI0fenQ4Q1aA7iYfr1687XW/p0qW4fv06HnzwwdptOFEdunLlCk6dOgWj0WjbNmLECFy7dg1ff/21bVt2djZWr16NIUOGuHxGksgbuIoHV98PP/zwAw4dOsTvB/I4ZrMZjz/+OPbs2YPVq1ejZ8+eLo/jd4P3EUQurlzvjBo1Ct988w2mTp0KrVaLFStWYP/+/di8eTN69+4NAOjbty+2bdvmsDZ2QUEBYmJiUFBQgOnTp0Mul+Odd96B2WzGkSNHeJeZPFJ140GtVuPxxx9Hx44doVKpsHPnTqxatQqdO3fGrl27oFar66pLRNW2ePFi5Obm4vLly1i6dCkeffRRxMTEAACeffZZBAYGIikpCStWrEB6ejqaN28OoPQfevHx8Th27Bj++c9/IjQ0FEuWLEFGRgYOHDiA1q1b12GviKqnuvEQHR2NmJgYdOvWDYGBgTh8+DCWLVuGsLAwHDhwAI0aNarDXhHdnueffx7/+c9/MGTIEIcijlZ//vOfAYDfDd5IpHpHp9OJ06dPFxs3biwqlUqxe/fu4k8//eRwTJ8+fURXH19mZqY4YsQIMSAgQPTz8xMffvhh8ezZs3er6UQ1rrrx8PTTT4vt2rUT/f39RblcLmq1WvHFF18U8/Pz72bziWpUs2bNRAAu/6Snp4uiKIrjxo1z+Nnq5s2b4sSJE0WNRiOq1WqxT58+4oEDB+5+J4hqSHXj4eWXXxa7dOkiBgYGinK5XIyMjBT//ve/i1evXq2bjhDdAeu/gdz9seJ3g/fhiDwRERERERGRB+Ez8kREREREREQehIk8ERERERERkQdhIk9ERERERETkQZjIExEREREREXkQJvJEREREREREHoSJPBEREREREZEHYSJPRERERERE5EGYyBMRERERERF5ECbyRERERERERFWwfft2DBkyBOHh4RAEAevWrbvta4iiiIULF6JVq1ZQKpVo0qQJ/vWvf93WNZjIExERkUdKSkqCIAi4cOFCXTeFiIjuEUVFRejcuTM++OCDal/jueeew6effoqFCxfi1KlT+PbbbxEbG3tb12AiT0REdA+ZMGECBEGARqOBXq+/o2u99tprEAQBv/76a800joiIqJ576KGHMH/+fAwfPtzlfr1ej+nTp6NJkybw9fVFjx49HL4nT548iaVLl2L9+vUYOnQooqKicN9992HgwIG31Q4m8kRERPeIgoICfPXVVxAEATdv3qzWdEAiIiJyb/LkydizZw9WrVqFo0ePYuTIkXjwwQdx9uxZAMB3332HFi1aYMOGDYiKikLz5s3x9NNP4+bNm7f1OkzkiYiI7hFffvklioqKMHXqVEgkEiQnJ9d1k4iIiLxGRkYGUlJSsHr1aiQkJKBly5aYPn064uPjkZKSAgA4f/48Ll68iNWrV+Ozzz7D8uXLcejQIYwYMeK2XouJPBER0T0iOTkZMpkMM2bMQGJiIjZv3oyLFy+6PHb79u0YNmwYGjVqBKVSiYiICDz66KPYuXMnAKBv376YO3cuACAxMRGCIEAQBDRv3tx2DUEQ0LdvX5fXb968ucOxAHDmzBnMmDEDXbt2hUajgUqlQqtWrfDSSy+hsLDwjvtPRERUm37//XeYzWa0atUKfn5+tj/btm3DuXPnAAAWiwV6vR6fffYZEhIS0LdvXyQnJ2Pr1q04ffp0lV9LVludICIiovrjxIkT2Lt3LwYNGoRGjRph7Nix2Lx5M1JSUvDaa685HPuf//wHU6dOhY+PD4YPH47IyEhcunQJO3fuxJo1axAfH4+kpCQAwLZt2zBu3DhbUh4UFFTtNn799ddITk5GYmIi+vbtC4vFgr1792LBggXYtm0btm/fDrlcXu3rExER1abCwkJIpVIcOnQIUqnUYZ+fnx8AICwsDDKZDK1atbLta9u2LYDSEf3WrVtX6bWYyBMREd0DrNPon3rqKQDAo48+imeeeQYpKSmYPXs2JJLSSXq//fYbpk2bhrCwMOzatcth1FwURVy5cgVAacX4CxcuYNu2bUhKSnI78n47nnrqKUybNg0KhcJh++uvv445c+bgq6++wpgxY+74dYiIiGpDTEwMzGYzsrKykJCQ4PKYuLg4mEwmnDt3Di1btgRQOiMNAJo1a1bl1+LUeiIiIi9nNBrx+eefIyAgAMOGDQNQOjIwfPhwZGRkYNOmTbZjP/roI1gsFsyfP99p6rsgCAgPD6+1djZp0sQpiQdKCwcBcGgnERFRXSgsLMSRI0dw5MgRAEB6ejqOHDmCjIwMtGrVCmPGjMHYsWPx9ddfIz09Hfv378ebb76J77//HgAwYMAAdO3aFRMmTEBqaioOHTqEv/71rxg4cKDDKH1lmMgTERF5ufXr1+P69esYOXIkVCqVbfvYsWMBwKHo3f79+wEADzzwwN1tJEpH/JctW4bevXsjJCQEUqnUtlQeAFy+fPmut4mIiKisgwcPIiYmBjExMQCAadOmISYmBrNnzwYApKSkYOzYsXjhhRfQunVrDBs2DAcOHEBkZCQAQCKR4LvvvkNoaCh69+6NwYMHo23btli1atVttYNT64mIiLycNVG3Ju5W/fv3R5MmTbB+/XrcvHkTISEhyMvLgyAICAsLu+vtnDJlChYvXoyIiAgMHToUYWFhUCqVAIC5c+fe8br3REREd6pv374QRdHtfrlcjrlz59oKwroSHh6OtWvX3lE7mMgTERF5sczMTGzcuBEA0KdPH7fH/fe//8WUKVMQFBRkexa+SZMmd/TagiDAZDK53JeXl4fAwEDbz1lZWfjggw/QqVMn7NmzB2q12rbv6tWrFf6DiIiI6F7DRJ6IiMiLLV++HBaLBfHx8S4r4ZpMJqxYsQLJycmYMmUKYmNjcfDgQWzcuBHjx4+v8NrWirxms9nl/uDgYFy6dMlp+4ULF5Cbm+uQyJ8/fx6iKGLAgAEOSTwA7Nixo9J+EhER3UuYyBMREXkpURSRkpICQRCwYsUKtGjRwuVxZ86cwZ49e3Dw4EH87W9/w0cffYRXXnkF/fr1c6igax2ptxa8CwkJAVA66u9K9+7d8fPPP2Pbtm222QAGgwHTpk1zOtb6Ort374bFYrFV0f/jjz8wc+bMar4DRERE3omJPBERkZfasmUL0tPT0adPH7dJPACMHz8ee/bsQXJyMpYuXYp3330XU6ZMQfv27TFs2DA0a9YMV69exfbt2zF48GC8++67AIDExEQIgoBZs2bh+PHjCAwMRFBQkK3K/LRp07Bx40YMGjQIo0ePhlqtxi+//IKgoCCnZ/DDwsLw2GOPYe3atejWrRv69++Pa9euYcOGDejfvz/OnTtXa+8TERGRp2HVeiIiIi9lLXKXlJRU4XGPP/44fHx8sHLlSuh0OkyePBlbtmxBYmIifvzxRyxcuBAbN25E586dMWrUKNt57dq1Q0pKCkJDQ/H+++/j1VdfxcKFC237H3jgAXz11Vdo2bIlPv/8c6xevRoDBw7EL7/84nKZueXLl+OFF15ATk4O3n//fezduxfTpk3D//73v5p5Q4iIiLyEIFZUco+IiIiIiIiI6hWOyBMRERERERF5ECbyRERERERERB6EiTwRERERERGRB2EiT0RERERERORBmMgTEREREREReRAm8kREREREREQehIk8ERERERERkQdhIk9ERERERETkQZjIExEREREREXkQJvJEREREREREHoSJPBEREREREZEHYSJPRERERERE5EH+H4Ru0TvDXN8UAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "\n",
    "sns.scatterplot(x='actual', y='pred', data=comparison)\n",
    "plt.plot(comparison['actual'], comparison['actual'], color='red', linestyle='--')\n",
    "plt.title('Actual vs Pred', fontsize=18)\n",
    "plt.xlabel('Actual', fontsize=14)\n",
    "plt.ylabel('Pred', fontsize=14)\n",
    "plt.xticks(rotation=0, fontsize=12)  \n",
    "plt.yticks(fontsize=12)\n",
    "plt.grid(linestyle='--')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Feature importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ozq5QveHXV35+vvLz8/e7/56vrdatW+s///mPLrvsMs2bNy+yMlLDhg3Vu3dvnXfeeTr99NPLffYKAFQXXEoDAIBB4b9CS9Jvv/1W5n573rbnMbEQPhOkcePGcnbPg7bfrz2Xzf3Xv/6lWbNmKTU1VY8++qhWrVqlnTt3auPGjVqzZo3WrFkT+ct8ec5giaV9LbO85yUKO3bsKNfzEF5WGeVXlaWuw2bMmBFpivzjH//QN998o8LCQm3atCnymrv22mslRf81V9nmQ/j19cwzz5TrtTVhwoRix59//vlatWqVxo0bpyFDhqh58+Zav369XnvtNZ1xxhnq2bNnuRouAFCd0BgBAKAM4b8ob9iwQYWFhWXuFz5Fvqy/QG/YsEG7du0q8/hw8yFaf8Euj/r160fmZ1i6dGmZ+4Vv83q9at++fUxrCtezYcOGSp3REZ5P4s4779Q111yjFi1alPjwGP4re2WF/3pf2uU5YeFLECprz3kz9ryMwY3K05Tb832x5//v69KUPW+L5fsq/Jrr37+/nnrqKR122GElGi5Vfc2VJfw6qehrpLLH7alevXr629/+pkmTJik3N1c//fSTbrnlFnk8Hn366acaNWpUpe8bABKBxggAAGU48sgjJUmBQEAff/xxmft9+OGHklTmfAuBQECffvppqbc5jhO57/DjxcuJJ54oaffkimX9NXv69OmSpOOOO67USTKjKTznQzAY1HvvvVfh41evXi1J6tKlS6m3r1y5Uj/99FOZx4ebKPv6y37dunUl7b48o6xm2YIFC8pVb1m6desWuQxjypQpVbqv6m7Py57Kum3P90WrVq1Ur149SdJHH31U5rHh92T9+vUrPf9F+FKnfb0e9veacxxHM2fOrNTj7094ctqFCxfqjz/+KPdx4ffZ//73v6jV0rp1a40ePToyWe+MGTOidt8AEA80RgAAKMPhhx8emQT03nvvLXUVhmnTpkU+CJ977rll3te//vUvhUKhEttfeOGFyIerIUOGRKPschs+fLgk6eeff9brr79e4vYFCxZEPpyGV0CJpTZt2kQuCfnnP/+53zMv9p6MMjMzU9LuVVpKc8stt+zz/jIyMiRJeXl5Ze7TqVMnSbs/8L799tslbt+xY4ceffTRfT7O/tSpUyfyAXPMmDHKzc3d5/57Pw81yUMPPVTq2TezZs2KTBK65/vC4/FEvn/22WdLPRvj999/17PPPitp3+/J/SnP62F/r7lx48bpl19+qXQN+3LOOecoIyNDgUBA1157bbkv1bn00ksl7T4b7Jlnntnnvtu2bSt2ttu+zpyTFGmeljV/DgBUV/zUAgBgH8aMGSNp96oTgwYN0ooVKyTtnghx4sSJkQ9e3bt31xlnnFHqfdSuXVufffaZzjvvvMgp/jt37tS///1v/f3vf5ckDRw4MLLsb0Vs3bpVGzZsiHyFP7gUFRUV217ayiAnnHCCTjrpJEm7Pyy9/vrrkebNRx99pLPOOkuS1LFjR40YMaLCtVXGE088obS0NP3www865phj9M477xT74Pzbb7/ppZde0gknnFBiKdvwsqj33nuv3nrrLQUCAUm7VzI577zz9Nprr0XO+CjNYYcdJkmaOHFimZOZHnjggZHlaa+77rpiSwZ/+eWX6tu3b1Qm0b3vvvvUrFkzbdiwQTk5OXrppZeKLZe8fv16vfnmmzrzzDOr9OE/0f744w+dcsopWr58uaTdZ1e98cYbGjRokCSpa9eukddh2G233aasrCxt2rRJffv2Lbb08pw5c9S3b1/l5eWpXr16+22G7Uv49TBt2rQyL/kJv+bee+893XPPPZFLwPLy8nTffffpyiuvVP369Stdw75kZmZG5jd59dVXdeaZZ2rx4sWR27dv366pU6dq4MCBxeb86Nmzpy688EJJ0uWXX65rr722WPOmsLBQ8+fP10033aTs7Oxir+crrrhCgwcP1ptvvlls+9atWzVu3Di9+OKLkqRTTjklJmMGgJhxAAAwbuTIkY4kp6x/Fh955BHH4/FE9snKynJq1aoV+b5jx47Ob7/9VuK48ePHO5Kc7Oxs58knn4zcR926dZ2kpKTI8Z06dXI2bNhQqdqHDx8euZ99fWVnZ5d6/KZNm5wuXbpE9ktJSXFq165d7LiVK1dWqrb9Pa9l+eyzz5wmTZpEjvX5fE79+vWd1NTUYmO6+OKLix23cuVKp3HjxpHb/X6/k5mZGfn+vvvuc3r27OlIckaOHFnicV966aXIvklJSc4BBxzgZGdnO8cee2yx/RYtWuRkZGQUe87q1KnjSHIaN27sTJ06NXLbihUrih2752tif7777jvnkEMOidyX1+t16tWrF3ms8Fffvn0r9Pw6juNkZ2c7kpzhw4eXuC38mirttrB9PY97P8b48eOLbZ81a1ak9smTJ0feC5mZmU5ycnLkthYtWji//PJLqfc9e/bsYtnWqVOn2POSlZXlfPLJJyWOW7FiRZnZ7O2HH35wUlJSIs9948aNnezsbCc7O9tZvXq14ziOs2vXLuf444+P3KfH43Hq1q3reL1eR5JzyimnOLfffrsjyenZs2elnsfw+6i04x3Hce67777I40lyUlNTnXr16hXbtnnz5mLHFBYWOhdffHGx11FaWlqx2sNfv/76a+S4vX/epKWlOVlZWcW2HXfccc7WrVv3+dwCQHXDGSMAAOzHtddeq4ULF+qCCy5Q8+bNtX37dqWmpuqYY47Ro48+qi+++GK/K7Zcfvnlev/99zVgwAB5vV55vV61a9dOd999t+bNmxezvyrvT926dTV//nw99NBDOuKII5SUlCSPx6PDDjtMd955p5YsWVLh5UCr6thjj9UPP/yghx56SD169FBWVpby8vLk8/nUvn17XXDBBZo4caLGjh1b7Ljs7GwtXLhQF110USSPlJQUnXrqqXr//fd166237vNxL7jgAr300ks67rjjVLt2bf3xxx9atWpViUk+O3furAULFmjo0KFq1KiRQqGQGjRooMsvv1yLFy+OXH5VVe3bt9eSJUv07LPPql+/fmrQoIHy8/PlOI4OPvhgnXPOOfr3v/+t1157LSqPlwgDBw7U3LlzdfbZZyslJUWO46hVq1a6/vrrtXjx4jLnB+nZs6e+//57XX/99Wrfvr1CoZAcx1H79u11ww036Pvvv9fxxx9fpdratGmjWbNm6fTTT1fDhg21ceNGrVq1SqtWrYqcjZSUlKQPPvhAI0eO1CGHHKKkpCQ5jqOjjjpKzzzzjN59992orH6zL7feequ+/vprXXLJJTr44IMlSbt27VKbNm107rnn6q233opcFhRWq1YtPffcc5o7d65GjBih1q1bKxgMauvWrWrUqJF69eoVef/vuSzyHXfcoccff1xnnnmm2rVrJ7/fHznmxBNP1H//+1/Nnj1bderUiemYASDaPI6T4PXqAABwqQkTJujCCy9Udna2Vq5cmehygGph9uzZ6t27t6TEL5sMAIDEHCMAAAAAAMAwGiMAAAAAAMAsGiMAAAAAAMAsGiMAAAAAAMAsJl8FAAAAAABmccYIAAAAAAAwy5/oAuB+oVBIv//+u9LT0+XxeBJdDgAAAADA5RzHUUFBgZo1ayavd9/nhNAYQcz9/vvvat68eaLLAAAAAAAYs3r1ah144IH73IfGCGIuPT1dkrRixQrVq1cvwdUgnoqKivTBBx+oX79+SkpKSnQ5iCOyt4vs7SJ7u8jeLrK3qabknp+fr+bNm0c+j+4LjRHEXPjymfT0dGVkZCS4GsRTUVGRateurYyMjGr9QxPRR/Z2kb1dZG8X2dtF9jbVtNzLM50Dq9Ig5vLz85WZmam8vDxlZmYmuhzEUfi6PuaXsYfs7SJ7u8jeLrK3i+xtqim5hz+HbtmyZb9/oGdVGgAxlZqamugSkCBkbxfZ20X2dpG9XWRvk9typzGCuAkEAokuAXEWCAQ0bdo0sjeI7O0ie7vI3i6yt4vsbXJj7jRGAAAAAACAWTRGAAAAAACAWTRGAAAAAACAWaxKg5hjVRq7HMdRIBCQ3++v1jNWI/rI3i6yt4vs7SJ7u8jeppqSO6vSAKg2duzYkegSkCBkbxfZ20X2dpG9XWRvk9typzGCuHHTrMUon0AgoFmzZpG9QWRvF9nbRfZ2kb1dZG+TG3OnMQIAAAAAAMyiMQIAAAAAAMyiMQIgpvx+f6JLQIKQvV1kbxfZ20X2dpG9TW7LnVVpEHPh2YA7XTlOvuTURJcDAAAAAKiELx8clugSyo1VaVAtVd+FnBArHkmts/xkbxDZ20X2dpG9XWRvF9nbFAqFtG7dOoVCoUSXEjU0RhA3fl+iK0C8Jfmk8w+roySyN4fs7SJ7u8jeLrK3i+xtCgaDmjdvnoLBYKJLiRoaIwAAAAAAwCwaIwAAAAAAwCwaI4gbpvm1x3GkdduCZG8Q2dtF9naRvV1kbxfZ2+TxeJSeni6Pxz2zy7AqDWKOVWkAAAAAoOZjVRqgirzuaSiinLweqUvjJLI3iOztInu7yN4usreL7G0KhUJatWoVq9IAleHj1WaO3yud1qa2/GRvDtnbRfZ2kb1dZG8X2dsUDAa1ePFiVqUBAAAAAABwAxojAAAAAADALBojiBum+bXHcaSfNxeRvUFkbxfZ20X2dpG9XWRvk8fjUcOGDVmVBqgIVqUBAAAAgJqPVWmAKvK5p6GIcvJ5pJ4tksneILK3i+ztInu7yN4usrcpGAxq2bJlTL4KVIaXV5s5Pq/Us0UKKxIZRPZ2kb1dZG8X2dtF9jaFQiEtX76c5XoBAAAAAADcgMYIAAAAAAAwi8YI4oZpfu0JOdJXa3YpRPbmkL1dZG8X2dtF9naRvU1er1ctWrSQ10VzJbAqDWKOVWkAAAAAoOZjVRqgivy82szxe6VTD04le4PI3i6yt4vs7SJ7u8jepmAwqEWLFrEqDVAZHpbxMsfrkbo2qSUv2ZtD9naRvV1kbxfZ20X2NoVCIeXm5rIqDQAAAAAAgBvQGAEAAAAAAGbRGEHcuOhMK5RTMCR9nLtTQbI3h+ztInu7yN4usreL7G3yer1q27atq1al8Se6ANgRdCRfootAXAUd6ePcwkSXgQQge7vI3i6yt4vs7SJ7m3w+n9q1a5foMqLKPS0eVHvMVm1Pklc6/9DaSiJ7c8jeLrK3i+ztInu7yN6mQCCguXPnKhAIJLqUqOEljLhhVRp7PB6pdd0ksjeI7O0ie7vI3i6yt4vsbXIcR+vXr5fjOIkuJWpojAAAAAAAALNojAAAAAAAALNojCBumK3ankBImvLjdgXI3hyyt4vs7SJ7u8jeLrK3yefzqXPnzvL53LO0BqvSIG5CrEpjTsiRFq0tSnQZSACyt4vs7SJ7u8jeLrK3yev1Kjs7O9FlRBVnjCBuWJXGniSvdFmXNGYqN4js7SJ7u8jeLrK3i+xtCgQCmjlzJqvSAJXBbNX2eDxSozo+sjeI7O0ie7vI3i6yt4vsbXIcRwUFBaxKAwAAAAAA4AY0RgAAAAAAgFk0RhA3gWCiK0C8FQWliUu3qYjszSF7u8jeLrK3i+ztInubfD6fcnJyWJUGqAz3XIGG8nIk/ZznnkmZUH5kbxfZ20X2dpG9XWRvk9frVaNGjRJdRlRxxgjiJsk9DUWUUy2fdPMxGapF9uaQvV1kbxfZ20X2dpG9TUVFRZo6daqKityzVDONEQAxlexnmnKryN4usreL7O0ie7vI3iY3LdUr0RgBAAAAAACG0RgBAAAAAABmeRzHYU5MxFR+fr4yMzPV+cpx8ianJrocxJFHUoPaXm3YHmLyXWPI3i6yt4vs7SJ7u8jeni8fHCbHcVRQUKD09HR5PNX3Uqrw59AtW7YoIyNjn/tyxgjihh+W9jiSthTyD6VFZG8X2dtF9naRvV1kb1dqqrv+4E1jBHHDqjT21PJJt+RkMlO5QWRvF9nbRfZ2kb1dZG9TIBDQtGnTXDUBK40RAAAAAABgFo0RAAAAAABgFo0RAAAAAABgFqvSIObCswF3unKcfKxKY04tn7QrmOgqkAhkbxfZ20X2dpG9XWRvS3hVmkAgIL/fz6o0QEVV37cMYsUjKTPZS/YGkb1dZG8X2dtF9naRvV07duxIdAlRRWMEceNntmpzknzS37umsyKRQWRvF9nbRfZ2kb1dZG9TIBDQrFmzWJUGAAAAAADADWiMAAAAAAAAs2iMAIipwgDzO1tF9naRvV1kbxfZ20X2Nvn9/kSXEFWsSoOYY1UaAAAAAKj5vnxwWKJLKDdWpUG1xGzV9ngktc7yk71BZG8X2dtF9naRvV1kb1MoFNK6desUCoUSXUrU0BhB3LAqjT1JPun8w+owU7lBZG8X2dtF9naRvV1kb1MwGNS8efMUDAYTXUrU0BgBAAAAAABm0RgppwkTJigrKyvRZcSdx+PR5MmTE10GAAAAAAAxUe0aI+vXr9ff//53tWjRQsnJyWrSpIn69++vOXPmJLSuIUOG6Icffoh8P2rUKHXu3LnC9zNixAh5PB55PB4lJSWpcePGOvHEE/Xf//63Wl6j9ccff+ikk06SJK1cuVIej0eLFy+u1H0xza89jiOt2xYke4PI3i6yt4vs7SJ7u8jeJo/Ho/T0dHk87pldptqtsXP22Wdr165deuGFF3TQQQdp7dq1+uijj7Rx48aE1VRUVKTU1FSlpkZnRZUBAwZo/PjxCgaDWrt2raZPn66rr75ab7zxht59991qtfRRkyZNonZfgZDE5Ye2FIWkcYu2JroMJADZ20X2dpG9XWRvF9nb5Pf71adPn0SXEVXV6oyRvLw8ffrppxozZox69+6t7OxsHXXUUbr11lt1+umnR/a5+OKL1bBhQ2VkZKhPnz76+uuvi93PlClT1K1bN6WkpKhBgwY688wzI7eVdmlIVlaWJkyYIOnPsyJeffVV9ezZUykpKZo4cWKxS2kmTJigu+66S19//XXk7I8JEybor3/9q0499dRi911UVKRGjRrp+eefj2wLnwlzwAEHqGvXrrrtttv0zjvv6L333ovUUZ6xhs9aefbZZ9W8eXPVrl1bgwcP1pYtWyL7hEIh3X333TrwwAOVnJyszp07a/r06ZHbd+3apSuuuEJNmzZVSkqKsrOzNXr06FKfr1atWkmSunTpIo/Ho169eu0jzZK87mkoopy8HqlL4ySyN4js7SJ7u8jeLrK3i+xtCoVCWrVqVbW84qGyqs+pCZLS0tKUlpamyZMn65hjjlFycnKJfc455xylpqbqvffeU2Zmpp599lmdcMIJ+uGHH1SvXj1NnTpVZ555pv75z3/qxRdf1K5duzRt2rQK13LLLbfo4YcfVpcuXZSSkqL3338/ctuQIUO0dOlSTZ8+XR9++KEkKTMzU4cccoh69OihP/74Q02bNpUk/e9//9P27ds1ZMiQfT5enz591KlTJ7311lu6+OKLyzVWSfrpp5/02muvacqUKcrPz9dFF12kf/zjH5o4caIk6bHHHtPDDz+sZ599Vl26dNF///tfnX766fr222/Vpk0bPf7443r33Xf12muvqUWLFlq9erVWr15dao2ff/65jjrqKH344Yc69NBDVatWrVL3KywsVGFhYeT7/Px8SVJqkhT6/6eMhJzdZ5D4vcUbJsGQFHSkJK+055lZgdDuY/beXhSUHEm19joVpaztu4K7lxXbe+bs0rY7zu4uuNezu869t/s8km+P7Yyp5Jhq+aTT2tTWdxu2qDDojjHtr3bGtHt7knd39j9u3qJdQXeMyY05xWJM4ff9txu2yHHcMSbJfTnFYky1k4q/790wJjfmFIsxhX/mL9u4RcE9LqmoyWNyY06xGFOy/8/3/bZd7hiTG3OK5piKiopUVFSkxYsXq0mTJvJ6/yzS4/HI7/crFAoVW7EmvD0YDBZrpni9Xvl8vjK3BwIBOXtcp+Xz+eT1esvcXlRUVKz2PffZn2rVGPH7/ZowYYIuueQSjRs3Tl27dlXPnj01dOhQHX744frss8/0+eefa926dZGmyUMPPaTJkyfrjTfe0KWXXqp//etfGjp0qO66667I/Xbq1KnCtVxzzTU666yzSr0tNTVVaWlp8vv9xS416d69u9q2bauXXnpJN910kyRp/PjxOuecc5SWlrbfx2zXrp2WLFkiSeUaqyTt3LlTL774og444ABJ0hNPPKFTTjlFDz/8sJo0aaKHHnpIN998s4YOHSpJGjNmjGbNmqWxY8fqqaeeUm5urtq0aaPjjjtOHo9H2dnZZdbXsGFDSVL9+vX3eYnN6NGjiz3/YVcckaHatWtLkr5as0v/+2mHBhyUqq5N/mywfJy7Ux/nFmpw+9pqXTcpsn3Kj9u1aG2RLuqUpkZ1/ny3Tly6TT/nBXRttwwl+/98xz/zVYG2FIZ0S05msRrun7dFmcle/b1remRbYcDRmPn5OijLr/MPqxPZvm5bUOMWbVWnRkk6rU3tyPafNxdp4rfbdVzzZPVskRLZzpjKHlPLTL+Wb3LXmNyYUzTH1DJz9z8v1x2V6ZoxuTGnWI0pzE1jcmNO0R5T+P0e/q8bxuTGnGIxpl/ydn8YyTkgWcc1d8eY3JhTLMd03VGZrhuT5L6cojGmadOmRaZ+2Lhxo7744ovIvunp6erTp49Wr15dbF7Khg0bqnv37vrxxx+1fPnyyPYWLVqoS5cuWrJkiXJzcyPb27Ztq3bt2unzzz/X+vXrI9s7d+6s7OxsffLJJyooKIhsz8nJUaNGjfTBBx8oEAhEth9xxBEqL49TkTZKnOzcuVOffvqp5s+fr/fee0+ff/65/vOf/2jbtm266qqrSsz1sWPHDt1www0aM2aMateuraeeekoXXnhhqfft8Xj09ttv64wzzohsy8rK0tixYzVixAitXLlSrVq10meffaZjjz02ss+ECRN0zTXXKC8vT9Luy1gmT55cYiLSRx99VP/+97/1/fffa+3atTrwwAM1c+ZMHX/88ZJ2T76al5dX6kov4TNRvv32Wz311FP7HeuoUaP04osv6pdffoncvmXLFmVlZWn27Nnq0qWLMjMzNXv2bPXs2TOyz7XXXquvv/5aM2fO1FdffaUTTzxR9evX14ABA3TqqaeqX79+pT5f4edm0aJF+5x4trQzRpo3b67u149TyL97PNWl47mv7TW1i1udxlTLt/sfyjHzOGPE2piSfdLNOZl65HPOGLE2pvD7/v55nDFibUxptXZnH37fu2FMbswpVmeMXH90ph6czxkj1saU7P/zfc8ZIzbG9Mk956qoqEgzZszQgAEDqvUZI9u3b1dWVpa2bNmijIwM7Uu1OmMkLCUlRSeeeKJOPPFE3XHHHbr44os1cuRI/eMf/1DTpk01e/bsEseE5//Y3wSpHo+nxCk1ez+BklSnTp0S28pj2LBhuuWWWzRv3jzNnTtXrVq1ijRF9uf777+PzOOxdevW/Y41Grp27aoVK1bovffe04cffqjBgwerb9++euONNyp9n8nJyaVeBlUYkBxP8W2BUIndJO3+YVCR7buC5d/uVHB7yCl9e9CRgqVsZ0x/bnec3V3v0P9/y7lhTHtjTGXX/vPmIhUGij9OTR6TG3OKxZjC7/vwL3alqWlj2hNjKntMhYGS7/uaPiY35hSLMYXf94FQ6fXUxDGFuSmnsKiOaY/3ffgTVo0fUykY05/bk5KS5PF41LBhQ/l8vlIXDvF6vcUaJmE+n08+n6/c28talKSs7UlJScW+r8iqOdWyMbK3Dh06aPLkyeratavWrFkjv9+vli1blrrv4Ycfro8++qjMM0YaNmyoP/74I/L9jz/+qO3bt1e4plq1ahXrgoXVr19fZ5xxhsaPH6958+aVWcfeZs6cqW+++UbXXnutJJVrrJKUm5ur33//Xc2aNZMkzZ8/X16vV23btlVGRoaaNWumOXPmFDtjZM6cOTrqqKMi32dkZGjIkCEaMmSIBg0apAEDBmjTpk2ReUz2HLOkUsddHqxKY09RSJr4bcXfX6j5yN4usreL7O0ie7vI3ia/36/u3bsnuoyoKtnGSaCNGzeqT58+evnll7VkyRKtWLFCr7/+uh544AENHDhQffv2VU5Ojs444wx98MEHWrlypebOnat//vOfWrhwoSRp5MiReuWVVzRy5Eh9//33+uabbzRmzJjIY/Tp00dPPvmkFi1apIULF+qyyy4r0Vkqj5YtW2rFihVavHixNmzYUOzSkYsvvlgvvPCCvv/+ew0fPrzEsYWFhVqzZo1+++03ffXVV7rvvvs0cOBAnXrqqRo2bJgklWus0u6za4YPH66vv/5an376qa666ioNHjw4MgfIjTfeqDFjxujVV1/V8uXLdcstt2jx4sW6+uqrJUmPPPKIXnnlFS1btkw//PCDXn/9dTVp0qTUs1IaNWqk1NRUTZ8+XWvXri22+k15+MrfsINL+DxSzxbJZG8Q2dtF9naRvV1kbxfZ2xQMBrVs2bJK/8G8OqpWjZG0tDQdffTRevTRR9WjRw8ddthhuuOOO3TJJZfoySeflMfj0bRp09SjRw9deOGFOuSQQzR06FCtWrVKjRs3liT16tVLr7/+ut5991117txZffr00eeffx55jIcffljNmzfX8ccfr/POO0833HBDZELQijj77LM1YMAA9e7dWw0bNtQrr7wSua1v375q2rSp+vfvHzmTY0/Tp09X06ZN1bJlSw0YMECzZs3S448/rnfeeSdyClF5xipJBx98sM466yydfPLJ6tevnw4//HA9/fTTkduvuuoqXXfddbr++uvVsWNHTZ8+Xe+++67atGkjafcEOQ888ICOPPJIdevWTStXrtS0adNKPfXJ7/fr8ccf17PPPqtmzZpp4MCBFXrOSrlLuJzPK/VskVLs+kjYQPZ2kb1dZG8X2dtF9jaFQiEtX77cVcv1VsvJV2u6rVu36oADDtD48ePLXNkmGsqaALa6yc/PV2Zmpo685s/JV2FDLZ90S87uSRjLuo4R7kT2dpG9XWRvF9nbRfb2fPngMBUVFWnatGk6+eSTK3X1RbyEP4fW2MlXa6pQKKQNGzbo4YcfVlZWlk4//fRElwQAAAAAAPaBxkgU5ebmqlWrVjrwwAM1YcKEMmfLtYpzk+wJObvXXA+RvTlkbxfZ20X2dpG9XWRvk9frVYsWLUqdfqGm4lIaxFz4FKZOV46TL5lLaQAAAACgJvrywWGJLqHcKnIpjXtaPKj2/LzazPF7pVMPTiV7g8jeLrK3i+ztInu7yN6mYDCoRYsWsSoNUBkelvEyx+uRujapJS/Zm0P2dpG9XWRvF9nbRfY2hUIh5ebmumpVGhojAAAAAADALBojAAAAAADALBojiBsXnWmFcgqGpI9zdypI9uaQvV1kbxfZ20X2dpG9TV6vV23btnXVqjSsJ4u4CTqSL9FFIK6CjvRxbmGiy0ACkL1dZG8X2dtF9naRvU0+n0/t2rVLdBlR5Z4WD6o9Zqu2J8krnX9obSWRvTlkbxfZ20X2dpG9XWRvUyAQ0Ny5cxUIBBJdStTwEkbcsCqNPR6P1LpuEtkbRPZ2kb1dZG8X2dtF9jY5jqP169fLcZxElxI1NEYAAAAAAIBZNEYAAAAAAIBZNEYQN8xWbU8gJE35cbsCZG8O2dtF9naRvV1kbxfZ2+Tz+dS5c2f5fO5ZWoNVaRA3IValMSfkSIvWFiW6DCQA2dtF9naRvV1kbxfZ2+T1epWdnZ3oMqKKM0YQN6xKY0+SV7qsSxozlRtE9naRvV1kbxfZ20X2NgUCAc2cOZNVaYDKYLZqezweqVEdH9kbRPZ2kb1dZG8X2dtF9jY5jqOCggJWpQEAAAAAAHADGiMAAAAAAMAsGiOIm0Aw0RUg3oqC0sSl21RE9uaQvV1kbxfZ20X2dpG9TT6fTzk5OaxKA1SGe65AQ3k5kn7Oc8+kTCg/sreL7O0ie7vI3i6yt8nr9apRo0aJLiOqOGMEcZPknoYiyqmWT7r5mAzVIntzyN4usreL7O0ie7vI3qaioiJNnTpVRUXuWaqZxgiAmEr2M025VWRvF9nbRfZ2kb1dZG+Tm5bqlWiMAAAAAAAAw2iMAAAAAAAAszyO4zAnJmIqPz9fmZmZ6nzlOHmTUxNdDuLII6lBba82bA8x+a4xZG8X2dtF9naRvV1kb8+XDw6T4zgqKChQenq6PJ7qeylV+HPoli1blJGRsc99OWMEccMPS3scSVsK+YfSIrK3i+ztInu7yN4usrcrNdVdf/CmMYK4YVUae2r5pFtyMpmp3CCyt4vs7SJ7u8jeLrK3KRAIaNq0aa6agJXGCAAAAAAAMIvGCAAAAAAAMIvGCAAAAAAAMItVaRBz4dmAO105Tj5WpTGnlk/aFUx0FUgEsreL7O0ie7vI3i6ytyW8Kk0gEJDf72dVGqCiqu9bBrHikZSZ7CV7g8jeLrK3i+ztInu7yN6uHTt2JLqEqKIxgrjxM1u1OUk+6e9d01mRyCCyt4vs7SJ7u8jeLrK3KRAIaNasWaxKAwAAAAAA4AY0RgAAAAAAgFk0RgDEVGGA+Z2tInu7yN4usreL7O0ie5v8fn+iS4gqVqVBzLEqDQAAAADUfF8+OCzRJZQbq9KgWmK2ans8klpn+cneILK3i+ztInu7yN4usrcpFApp3bp1CoVCiS4lamiMIG5YlcaeJJ90/mF1mKncILK3i+ztInu7yN4usrcpGAxq3rx5CgaDiS4lamiMAAAAAAAAs2iMAAAAAAAAs2iMIG6Y5tcex5HWbQuSvUFkbxfZ20X2dpG9XWRvk8fjUXp6ujwe98wuw6o0iDlWpQEAAACAmo9VaYAq8rqnoYhy8nqkLo2TyN4gsreL7O0ie7vI3i6ytykUCmnVqlWsSgNUho9Xmzl+r3Ram9ryk705ZG8X2dtF9naRvV1kb1MwGNTixYtZlQYAAAAAAMANaIwAAAAAAACzaIwgbpjm1x7HkX7eXET2BpG9XWRvF9nbRfZ2kb1NHo9HDRs2ZFUaoCJYlQYAAAAAaj5WpQGqyOeehiLKyeeRerZIJnuDyN4usreL7O0ie7vI3qZgMKhly5Yx+SpQGV5ebeb4vFLPFimsSGQQ2dtF9naRvV1kbxfZ2xQKhbR8+XKW6wUAAAAAAHADGiMAAAAAAMAsJl9FzIUnvdm0aZPq1q2b6HIQR8FgUEuWLNHhhx8un8+X6HIQR2RvF9nbRfZ2kb1dZG9TTcm9IpOv0hhBzFXkBQkAAAAAQFWxKg2qJTfNWozyCQaDWrRoEdkbRPZ2kb1dZG8X2dtF9ja5MXcaI4gbN81ajPIJhULKzc0le4PI3i6yt4vs7SJ7u8jeJjfmTmMEAAAAAACYRWMEAAAAAACYRWMEceP18nKzxuv1qm3btmRvENnbRfZ2kb1dZG8X2dvkxtxZlQYxx6o0AAAAAIB4YlUaVEuBQCDRJSDOAoGA5s6dS/YGkb1dZG8X2dtF9naRvU1uzJ3GCOKGk5PscRxH69evJ3uDyN4usreL7O0ie7vI3iY35k5jBAAAAAAAmEVjBAAAAAAAmEVjBHHj8/kSXQLizOfzqXPnzmRvENnbRfZ2kb1dZG8X2dvkxtxZlQYxx6o0AAAAAIB4YlUaVEtumrUY5RMIBDRz5kyyN4js7SJ7u8jeLrK3i+xtcmPuNEYQN5ycZI/jOCooKCB7g8jeLrK3i+ztInu7yN4mN+ZOYwQAAAAAAJhFYwQAAAAAAJjF5KuIufCkN5s3b1ZWVlaiy0EchUIhbdiwQQ0aNJDXSx/WErK3i+ztInu7yN4usreppuRekclXaYwg5liVBgAAAAAQT6xKg2qpqKgo0SUgzoqKijR16lSyN4js7SJ7u8jeLrK3i+xtcmPuNEYAxJSblvFCxZC9XWRvF9nbRfZ2kb1NbsudxggAAAAAADCLxggAAAAAADCLyVcRc+FJb/Ly8pSZmZnochBHjuOooKBA6enp8ng8iS4HcUT2dpG9XWRvF9nbRfY21ZTcmXwVQLWRmpqa6BKQIGRvF9nbRfZ2kb1dZG+T23KnMYK4cdsEPdi/QCCgadOmkb1BZG8X2dtF9naRvV1kb5Mbc6cxAgAAAAAAzKIxAgAAAAAAzKIxAgAAAAAAzGJVGsQcq9LY5TiOAoGA/H5/tZ6xGtFH9naRvV1kbxfZ20X2NtWU3CuyKo0/TjUB6nXHJHmT3TV7MfbNI6lBba82bA+JDqwt1Tn7Lx8clugSXG/Hjh1KT09PdBlIALK3i+ztInub3JY7l9Igbvy+RFeAeEvySX/vmq4ksjeH7O0KBAKaNWuWq2aqR/mQvV1kbxfZ2+TG3GmMAAAAAAAAs2iMAAAAAAAAs2iMAIipwkB1m2EC8UL2dvn9TGFmFdnbRfZ2kb1NbsudVWkQc+HZgDtdOU4+Jl8FkGBMvgoAAOB+FVmVhjNGEDfVdyEnxIpHUussP9kbRPZ2hUIhrVu3TqFQKNGlIM7I3i6yt4vsbXJj7jRGEDesSmNPkk86/7A6rExiENnbFQwGNW/ePAWDwUSXgjgje7vI3i6yt8mNudMYAQAAAAAAZtEYAQAAAAAAZtEYQdwwza89jiOt2xYke4PI3i6Px6P09HR5PMwwYw3Z20X2dpG9TW7MnVVpEHOsSgOgOmFVGgAAAPdjVRpUS173NBRRTl6P1KVxEtkbRPZ2hUIhrVq1ylUz1aN8yN4usreL7G1yY+40RhA3Pl5t5vi90mltastP9uaQvV3BYFCLFy921Uz1KB+yt4vs7SJ7m9yYO7+yAgAAAAAAs2iMAAAAAAAAs2iMIG6Y5tcex5F+3lxE9gaRvV0ej0cNGzZ01Uz1KB+yt4vs7SJ7m9yYO6vSIOZYlQZAdcKqNAAAAO7HqjSolnzuaSiinHweqWeLZLI3iOztCgaDWrZsmasmZEP5kL1dZG8X2dvkxtxpjCBuvLzazPF5pZ4tUliRyCCytysUCmn58uWuWsIP5UP2dpG9XWRvkxtz51dWAAAAAABgFo0RAAAAAABgFo0RxA3T/NoTcqSv1uxSiOzNIXu7vF6vWrRoIS/XT5pD9naRvV1kb5Mbc2dVGsQcq9IAqE5YlQYAAMD9WJUG1ZKfV5s5fq906sGpZG8Q2dsVDAa1aNEiV81Uj/Ihe7vI3i6yt8mNufMrK+LGw7Kd5ng9UtcmteQle3PI3q5QKKTc3FxXzVSP8iF7u8jeLrK3yY250xgBAAAAAABm0RgBAAAAAABm0RhB3LjoTCuUUzAkfZy7U0GyN4fs7fJ6vWrbtq2rZqpH+ZC9XWRvF9nb5Mbco7IqzZo1a/TWW29p2bJl2r59u/7zn/9IktavX68VK1aoY8eOSk1lNRKrWJUGQHXCqjQAAADuF9dVaZ5++mm1atVKV1xxhZ588kmNHz8+ctu6deuUk5Ojl19+uaoPAxdgdQp7krzS+YfWVhLZm0P2dgUCAc2dO1eBQCDRpSDOyN4usreL7G1yY+5V+pV1ypQpuuKKK9SxY0e9++67+vvf/17s9kMPPVSHH364Jk+eXJWHgUuwKo09Ho/Uum4S2RtE9nY5jqP169crCiekooYhe7vI3i6yt8mNufurcvCDDz6oFi1aaNasWapTp46+/PLLEvt07NhRn376aVUeBgAAAAAAICaqdMbI4sWLdcopp6hOnTpl7nPAAQdo7dq1VXkYAAAAAACAmKhSYyQUCikpKWmf+6xbt07JyclVeRi4BKtT2BMISVN+3K4A2ZtD9nb5fD517txZPp8v0aUgzsjeLrK3i+xtcmPuVbqUpm3btvu8TCYQCOiTTz5Rx44dq/IwcImQI7nnrYPyCDnSorVFiS4DCUD2dnm9XmVnZye6DCQA2dtF9naRvU1uzL1KZ4ycf/75WrRoke66664StwWDQd1www365ZdfNGwYSyOCVWksSvJKl3VJY2USg8jerkAgoJkzZ7pqpnqUD9nbRfZ2kb1Nbsy9SmeMXHnllZoyZYruvvtuTZw4USkpKZKkwYMHa+HChVq5cqX69euniy66KCrFombzeCT3zFuM8vB4pEZ1fKxMYhDZ2+U4jgoKClw1Uz3Kh+ztInu7yN4mN+Zepb/lJSUl6f3339ctt9yijRs3aunSpXIcR2+88YY2bdqkm2++We+++648/GYMAAAAAACqoSqdMSJJtWrV0r/+9S/de++9Wr58uTZt2qSMjAy1b9/eVZOxAAAAAAAA96lSY+Sggw7SSSedpKeeekoej0ft2rWLVl1woUBQ8la5FYeapCgoTVy6TUXBRFeCeCN7u3w+n3JycvjjiEFkbxfZ20X2Nrkx9yp9TN2wYYMyMjKiVQtczj1XoKG8HEk/57lnUiaUH9nb5fV61ahRo0SXgQQge7vI3i6yt8mNuVdpjpHDDz9cP/zwQ7RqgcsluaehiHKq5ZNuPiZDtcjeHLK3q6ioSFOnTlVREcs1W0P2dpG9XWRvkxtzr1Jj5Oabb9aUKVM0a9asaNUDwGWS/Uy+bBXZ2+Wm5ftQMWRvF9nbRfY2uS33Kl1Ks3nzZvXr10/9+vXTGWecoW7duqlx48alrkIzbNiwqjwUAAAAAABA1FWpMTJixAh5PB45jqM333xTb775piQVa4w4jiOPx0NjBAAAAAAAVDtVaoyMHz8+WnXAAFalsacoKD3zVQErkxhE9nb5/X717t1bfj8/8K0he7vI3i6yt8mNuVdpJMOHD49WHTCAVWnscSRtKQyRvUFkb1tqamqiS0CCkL1dZG8X2dvkttyrNPkqUBGsSmNPLZ90S04mK5MYRPZ2BQIBTZs2zXWTsmH/yN4usreL7G1yY+5VOmMkNze33Pu2aNGiKg8FAAAAAAAQdVVqjLRs2bLUFWj25vF4XNVNAgAAAAAA7lClxsiwYcNKbYxs2bJFX3/9tVasWKGePXuqZcuWVXkYAAAAAACAmPA4jhOTufEcx9HDDz+sBx54QPPnz9dBBx0Ui4dBDZCfn6/MzEx1unKcfMnumqQH+1fLJ+1iZRKTqmv2Xz7I8vGx5DiOAoGA/H5/uc4qhXuQvV1kbxfZ21RTcg9/Dt2yZYsyMjL2uW/MJl/1eDy64YYbdOihh+rGG2+M1cOgBqm+bxnEikdSZrKX7A0ie9t27NiR6BKQIGRvF9nbRfY2uS33mK9Kc+SRR2rmzJmxfhjUAH5WpzAnySf9vWs6KxIZRPZ2BQIBzZo1i7nFDCJ7u8jeLrK3yY25x7wx8vPPP7vqCQMAAAAAAO5RpclXyxIKhfTbb79pwoQJeuedd3TCCSfE4mEAAAAAAACqpEqNEa/Xu8/JVhzHUd26dfXwww9X5WESolevXurcubPGjh2b6FKizuPx6O2339YZZ5yR6FJgQGEgJvM7owYge7v8/pj83QU1ANnbRfZ2kb1Nbsu9SqvS9OrVq9TGiNfrVd26ddWtWzddeOGFatSoUZWKTAQ3N0bWrFmjunXrKjk5OS6Px6o0AKoTVqUBAABwv4qsSlOlNs/s2bOrcjgSpEmTJgl5XFansMcj6aAsv37JC4hzB2whe7tCoZA2bNigBg0ayOuN+VRmqEbI3i6yt4vsbXJj7lUaRW5urvLz8/e5T0FBgXJzc6vyMAkTCoV00003qV69emrSpIlGjRoVuS03N1cDBw5UWlqaMjIyNHjwYK1duzZy+4gRI0pcqnLNNdeoV69eke/feOMNdezYUampqapfv7769u2rbdu2RW7/z3/+o/bt2yslJUXt2rXT008/Xa66d+3apSuuuEJNmzZVSkqKsrOzNXr06MjtHo9HkydPliSNGjVKHo+nxNeECRMiz8Ho0aPVqlUrpaamqlOnTnrjjTfK9wTuhVVp7EnySecfVoeVSQwie7uCwaDmzZunYDCY6FIQZ2RvF9nbRfY2uTH3Kp0x0qpVK40cOVJ33nlnmfs8/vjjuvPOO2vkk/bCCy/ouuuu04IFCzRv3jyNGDFCxx57rE444YRIU+Tjjz9WIBDQ5ZdfriFDhpT7LJo//vhD5557rh544AGdeeaZKigo0KeffqrwlU0TJ07UnXfeqSeffFJdunTRokWLdMkll6hOnToaPnz4Pu/78ccf17vvvqvXXntNLVq00OrVq7V69epS973hhht02WWXRb4PP+6RRx4pSRo9erRefvlljRs3Tm3atNEnn3yiCy64QA0bNlTPnj1Lvc/CwkIVFhZGvg83z2r5pND//5AUcqRASPJ7Je8ep5IEQ1LQkZK80p5XaQVCu4/Ze3tRUHL+/33vqaztu4K7/5K994e10rY7jlQU2l2f31tyu88j+fbYzphKjilca3gXN4xpf7Uzpj+3a49jqtOYioqKItfF7r1qWlnbk5KSFAqFiv1b5vF45Pf7y9weDAYVCoUi271er3w+X5nbA4GA9ry61efzyev1lrm9qKioXLXHe0x71uWWMe25nTGVPabw9vB/3TAmN+YUizGFj9379/2aPCY35hSLMe35vnfLmNyYU7THFD42FAoVu5/qNqaKzBpSpcZIeR6oClOYJNzhhx+ukSNHSpLatGmjJ598Uh999JEk6ZtvvtGKFSvUvHlzSdKLL76oQw89VF988YW6deu23/v+448/FAgEdNZZZyk7O1uS1LFjx8jtI0eO1MMPP6yzzjpL0u4m1Hfffadnn312v42R3NxctWnTRscdd5w8Hk/k/kuTlpamtLQ0SdL8+fN1++2364UXXtBhhx2mwsJC3Xffffrwww+Vk5MjSTrooIP02Wef6dlnny2zMTJ69GjdddddJbZfcUSGateuLUn6as0u/e+nHRpwUKq6NqkV2efj3J36OLdQg9vXVuu6SZHtU37crkVri3RRpzQ1qvPnJ5yJS7fp57yAru2WoWT/n5+GnvmqQFsKQ7olJ7NYDffP26LMZK/+3jU9sq0w4GjM/HwdlOXX+YfViWxfty2ocYu2qlOjJJ3WpnZk+8+bizTx2+06rnmyerZIiWxnTGWPqWWmX8s3uWtMbswpmmNqmbn7n5frjsqsdmOaNm2aevfurdTUVE2bNq3YmE4++WTt2LFDs2bNimzz+/065ZRTtGHDBs2bNy+yPT09XX369NHq1au1ePHiyPaGDRuqe/fu+vHHH7V8+fLI9hYtWqhLly5asmRJsTMp27Ztq3bt2unzzz/X+vXrI9s7d+6s7OxsffLJJyooKIhsz8nJUaNGjfTBBx8U+yWlOo0pzE1jcmNO0R7TjBkzJCnyXzeMyY05xWJMDRo0kCT9/PPP+umnn1wxJjfmFMsxzZgxw3VjktyXUzTHJEkbN27UF198UW3HdMQRR6i8qjT5qtfr1ahRo/Z5xshll12mSZMmKS8vr7IPkxC9evXSoYceqqeeeiqybeDAgapfv746d+6sRx99VCtWrCh2TN26dfXYY49p2LBhGjFihPLy8iKXrEi7L6VZvHixZs+erWAwqP79++vzzz9X//791a9fPw0aNEh169bVtm3blJaWptTU1GLXbAUCAWVmZha7ZKc0X331lU488UTVr19fAwYM0Kmnnqp+/fpFbi9tVZrc3FwdddRRuuSSS3TPPfdIkr799lsddthhqlOnTrH737Vrl7p06aIFCxaU+vilnTHSvHlz5Vw3Tk7S7slXq+tfuN34V/tEjinJKw07LE3Pf71Vu0LuGNP+amdMu7fX8koXdUrTi0u3qihUvcb0yT3nmv9LTyzHFAgENHfu3Ejz3A1j2nO7W3KKxZh27typuXPnqnv37vL7/a4YkxtzisWYgsGg5s6dq2OPPbbY7641eUxuzClWZ4yE3/fJycmuGJMbc4r2mAKBgObNmxf5Q3x1HdP27duVlZUVm8lX77777mLfl3XpSDAY1OrVqzVp0iQdc8wxFX2YaiEpKanY9x6Pp1hg++L1ekucLbNnUD6fTzNmzNDcuXP1wQcf6IknntA///lPLViwIHJWxXPPPaejjz662H34fPu/YL9r165asWKF3nvvPX344YcaPHiw+vbtW+bcINu2bdPpp5+unJycYvlu3bpVkjR16lQdcMABxY7Z14o2ycnJpd6+vaj4Bx9p94eZ0hRVcPuuMq7UKm27U8HtIaf07UFHKu0KMcb05/ZdQemZRVsj290wpr0xptK37woVzz6sOoxpz5/te/+c39d2r9db6gRjZW33+Xyl/swua3tZy96Vtb0itZe1PRZjSkpK0gknnFBqDWE1bUx7cktOe4rWmFJTU0vNviaPyY05xWJMSUlJ6tOnT6n3K9XMMYW5KaewaI7J7/eXeN/X9DGVt8aKbnfTmPb3nq8uYyptBd2yVLgxMmqPCUg9Ho9mz55dZnNEkpo1a6YxY8ZU9GGqtfbt20fm7QhfSvPdd98pLy9PHTp0kLT7dKGlS5cWO27x4sXFwvJ4PDr22GN17LHH6s4771R2drbefvttXXfddWrWrJl++eUXnX/++ZWqMSMjQ0OGDNGQIUM0aNAgDRgwQJs2bVK9evWK7ec4ji644AKFQiG99NJLxV48HTp0UHJysnJzc8u8bKYivOV/XcIlvB6pU6Mkfb2uSKGae1UdKoHs7QqFQpF/H0v7pQjuRfZ2kb1dZG+TG3OvcGMkfG2R4zjq06ePRowYUeqcFz6fT/Xq1VO7du1c82SF9e3bVx07dtT555+vsWPHKhAI6B//+Id69uwZmbS0T58+evDBB/Xiiy8qJydHL7/8spYuXaouXbpIkhYsWKCPPvpI/fr1U6NGjbRgwQKtX79e7du3lyTddddduuqqq5SZmakBAwaosLBQCxcu1ObNm3Xdddfts75HHnlETZs2VZcuXeT1evX666+rSZMmysrKKrHvqFGj9OGHH+qDDz7Q1q1bI2eJZGZmKj09XTfccIOuvfZahUIhHXfccdqyZYvmzJmjjIyM/c51sjefVyrf+TZwC79XOq1NbX27YUuZZyHAncjermAwqMWLF6tZs2au+/cf+0b2dpG9XWRvkxtzr3BjZM8zB0aOHKnevXurR48eUS2quvN4PHrnnXd05ZVXqkePHvJ6vRowYICeeOKJyD79+/fXHXfcoZtuukk7d+7UX//6Vw0bNkzffPONpN1ndHzyyScaO3as8vPzlZ2drYcfflgnnXSSJOniiy9W7dq19eCDD+rGG29UnTp11LFjR11zzTX7rS89PV0PPPCAfvzxR/l8PnXr1k3Tpk0r9UX78ccfa+vWrerevXux7ePHj9eIESN0zz33qGHDhho9erR++eUXZWVlqWvXrrrtttuq8AwCAAAAAFA9VGnyVaA88vPzlZmZqSOvGaeQPzXR5SCOavmkW3Iydf88zhqwpjpn/+WDwxJdgqsVFRVp2rRpOvnkk8u8ThnuRPZ2kb1dZG9TTck9/Dk0JpOvlmX16tX6/fffi61GsidrZ5WgJFpw9jjO7uVYyd4esrfL4/GoYcOGFZrwDO5A9naRvV1kb5Mbc6/yGSNTpkzRjTfeqB9//HGf+wVLW24AlXLffffpvvvuK/W2448/Xu+9916cK9q3cKeu05Xj5EvmjBEAicUZIwAAAO4XtzNGZs+erTPPPFNNmjTRFVdcoSeeeEI9e/ZUu3bt9Nlnn+nbb7/VqaeeqiOOOKIqD4O9XHbZZRo8eHCpt6WmVt/Gg889DUWUk88jHdc8WZ+tLlSQMwdMIXu7gsGgfvzxR7Vp06ZcS8zDPcjeLrK3i+xtcmPuVZpC9v7771daWpq+/PJLPfbYY5Kk3r1765lnntE333yjf/3rX/roo480cODAqBSL3erVq6eDDz641K8DDjgg0eWVySUTFqMCfF6pZ4sU+cjeHLK3KxQKafny5QqFWIfMGrK3i+ztInub3Jh7lX5l/eKLL3TGGWeocePGkW17Pjm33nqrunTpojvvvLMqDwMAAAAAABATVWqMbN++vdgZCsnJycrPzy+2zzHHHKM5c+ZU5WEAAAAAAABiokqNkSZNmmj9+vWR7w844AB9++23xfbZuHEjE69CEqvSWBRypK/W7FKI7M0he7u8Xq9atGghL9dPmkP2dpG9XWRvkxtzr9JIOnXqpKVLl0a+7927t2bNmqVXXnlF27Zt0/vvv6/XXntNhx9+eJULRc0XcM8laCinQEj63087yN4gsrfL5/OpS5curpmMDeVH9naRvV1kb5Mbc69SY+T000/X4sWLtWrVKknSbbfdprS0NF1wwQXKyMjQySefrEAgoHvvvTcqxaJm87unoYhy8nulUw9OJXuDyN6uYDCoRYsWcbaoQWRvF9nbRfY2uTH3Kv3K+te//lXbt29Xdna2JKlVq1b64osvdNlll6lfv3665JJLtGDBAvXo0SMqxaJm87Bcrzlej9S1SS15yd4csrcrFAopNzfXVTPVo3zI3i6yt4vsbXJj7v5o32Hr1q311FNPRftuAQAAAAAAoi6qJzlv2rRJq1evjuZdAgAAAAAAxEyVGyNbtmzR1VdfrcaNG6thw4Zq1apV5LYFCxbo5JNP1pdfflnVh4ELuOhMK5RTMCR9nLtTQbI3h+zt8nq9atu2ratmqkf5kL1dZG8X2dvkxtw9jlP5RVQ3bdqk7t2764cfflDXrl21c+dOff/995FJWHbs2KEmTZrooosu0iOPPBK1olGz5OfnKzMzU52uHCdfcmqiywFg3JcPDkt0CQAAAIix8OfQLVu2KCMjY5/7VqnFM2rUKP3www+aNGmSFi5cqHPOOafY7ampqerZs6dmzpxZlYeBS7A6hT1JXun8Q2sriezNIXu7AoGA5s6dq0AgkOhSEGdkbxfZ20X2Nrkx9yr9yvruu+/q1FNP1eDBg8vcp2XLlvr111+r8jBwCValscfjkVrXTSJ7g8jeLsdxtH79elXhhFTUUGRvF9nbRfY2uTH3KjVG/vjjD3Xo0GGf+yQnJ2vbtm1VeRgAAAAAAICYqFJjpH79+vtdhWbZsmVq2rRpVR4GAAAAAAAgJqrUGOnRo4feeeedMi+V+e677zR9+nT17du3Kg8Dl2B1CnsCIWnKj9sVIHtzyN4un8+nzp07y+fzJboUxBnZ20X2dpG9TW7MvUqNkX/+858KBoM69thjNXHiRG3YsEGS9P333+v5559Xnz59lJycrBtvvDEqxaJmC7nnEjSUU8iRFq0tInuDyN4ur9er7OxsVy3hh/Ihe7vI3i6yt8mNuVdpJB07dtSrr76qvLw8DRs2TE8//bQcx9Fhhx2mSy65RDt27NBrr72mNm3aRKte1GCsSmNPkle6rEsaK5MYRPZ2BQIBzZw501Uz1aN8yN4usreL7G1yY+7+ih6Qn5+vlJQU1apVS5J0+umna8WKFXrxxRc1f/58bdq0SRkZGTr66KN14YUXqkGDBlEvGjWTxyPxx2NbPB6pUR0fK5MYRPZ2OY6jgoICV81Uj/Ihe7vI3i6yt8mNuVe4MVK3bl2NGjVKd9xxR2TbTz/9JK/Xq0mTJkW1OAAAAAAAgFiq8EnOjuOU6Ay99957uvbaa6NWFAAAAAAAQDxw9TfiJhBMdAWIt6KgNHHpNhWRvTlkb5fP51NOTo6rZqpH+ZC9XWRvF9nb5MbcK3wpDVBZ7rkCDeXlSPo5zz2TMqH8yN4ur9erRo0aJboMJADZ20X2dpG9TW7MnTNGEDdJ7mkoopxq+aSbj8lQLbI3h+ztKioq0tSpU1VUVJToUhBnZG8X2dtF9ja5MXcaIwBiKtnPsiRWkb1dblq+DxVD9naRvV1kb5Pbcq/UpTQvv/yy5s+fH/n+p59+kiSdfPLJpe7v8Xg0derUyjwUAAAAAABAzFSqMfLTTz9FmiF7mj59eqn7ezz81RAAAAAAAFQ/HmfvtXf3Y9WqVZV6oOzs7Eodh5ovPz9fmZmZ6nzlOHmTUxNdDuLII6lBba82bA8x+a4x1Tn7Lx8clugSXM1xHBUUFCg9PZ0/jBhD9naRvV1kb1NNyT38OXTLli3KyMjY574VPmOEBgcqq7p9OELsOZK2FFa/D8aIPbK3LTWVJrhVZG8X2dtF9ja5LXcmX0XcsCqNPbV80i05maxMYhDZ2xUIBDRt2jTXTcqG/SN7u8jeLrK3yY250xgBAAAAAABm0RgBAAAAAABm0RgBAAAAAABmVXhVGqCiwrMBd7pynHysSmNOLZ+0K5joKpAI1TV7VqWJLcdxFAgE5Pf7q/VM9Yg+sreL7O0ie5tqSu4VWZWGM0YQN9X3LYNY8UjKTPaSvUFkb9uOHTsSXQIShOztInu7yN4mt+VOYwRx42d1CnOSfNLfu6azIpFBZG9XIBDQrFmzXDVTPcqH7O0ie7vI3iY35k5jBAAAAAAAmEVjBAAAAAAAmEVjBEBMFQaY39kqsrfL7/cnugQkCNnbRfZ2kb1NbsudVWkQc6xKA6A6YVUaAAAA92NVGlRLrE5hj0dS6yw/2RtE9naFQiGtW7dOoVAo0aUgzsjeLrK3i+xtcmPuNEYQN6xKY0+STzr/sDqsTGIQ2dsVDAY1b948BYPBRJeCOCN7u8jeLrK3yY250xgBAAAAAABm0RgBAAAAAABm0RhB3DDNrz2OI63bFiR7g8jeLo/Ho/T0dHk8zDBjDdnbRfZ2kb1NbsydVWkQc6xKA6A6YVUaAAAA92NVGlRLXvc0FFFOXo/UpXES2RtE9naFQiGtWrXKVTPVo3zI3i6yt4vsbXJj7jRGEDc+Xm3m+L3SaW1qy0/25pC9XcFgUIsXL3bVTPUoH7K3i+ztInub3Jg7v7ICAAAAAACzaIwAAAAAAACzaIwgbpjm1x7HkX7eXET2BpG9XR6PRw0bNnTVTPUoH7K3i+ztInub3Jg7q9Ig5ioyGzAAAAAAAFXFqjSoltw0OQ/KJxgMatmyZWRvENnbRfZ2kb1dZG8X2dvkxtxpjCBu3LScE8onFApp+fLlZG8Q2dtF9naRvV1kbxfZ2+TG3GmMAAAAAAAAs2iMAAAAAAAAs2iMIG68Xl5u1ni9XrVo0YLsDSJ7u8jeLrK3i+ztInub3Jg7q9Ig5liVBgAAAAAQT6xKg2rJTbMWo3yCwaAWLVpE9gaRvV1kbxfZ20X2dpG9TW7MncYI4sZNsxajfEKhkHJzc8neILK3i+ztInu7yN4usrfJjbnTGAEAAAAAAGbRGAEAAAAAAGbRGEHcuGnWYpSP1+tV27Ztyd4gsreL7O0ie7vI3i6yt8mNubMqDWKOVWkAAAAAAPHEqjSolgKBQKJLQJwFAgHNnTuX7A0ie7vI3i6yt4vs7SJ7m9yYO40RxA0nJ9njOI7Wr19P9gaRvV1kbxfZ20X2dpG9TW7MncYIAAAAAAAwi8YIAAAAAAAwi8YI4sbn8yW6BMSZz+dT586dyd4gsreL7O0ie7vI3i6yt8mNubMqDWKOVWkAAAAAAPHEqjSoltw0azHKJxAIaObMmWRvENnbRfZ2kb1dZG8X2dvkxtxpjCBuODnJHsdxVFBQQPYGkb1dZG8X2dtF9naRvU1uzJ3GCAAAAAAAMIvGCAAAAAAAMIvJVxFz4UlvNm/erKysrESXgzgKhULasGGDGjRoIK+XPqwlZG8X2dtF9naRvV1kb1NNyb0ik6/SGEHMsSoNAAAAACCeWJUG1VJRUVGiS0CcFRUVaerUqWRvENnbRfZ2kb1dZG8X2dvkxtxpjACIKTct44WKIXu7yN4usreL7O0ie5vcljuNEQAAAAAAYBaNEQAAAAAAYBaTryLmwpPe5OXlKTMzM9HlII4cx1FBQYHS09Pl8XgSXQ7iiOztInu7yN4usreL7G2qKbkz+SqAaiM1NTXRJSBByN4usreL7O0ie7vI3ia35e5PdAGwo++oSQr5q8cb6MsHhyW6BBMCgYCmTZumk08+WUlJSYkuB3FE9naRvV1kbxfZ20X2Nrkxd84YAQAAAAAAZtEYAQAAAAAAZtEYAQAAAAAAZrEqDWIuPBtwpyvHyZfMHCOWOI6jQCAgv99frWesRvSRvV1kbxfZ20X2dpG9TTUld1alQbVUfd8yiKUdO3YkugQkCNnbRfZ2kb1dZG8X2dvkttxpjCBu/L5EV4B4CwQCmjVrlgKBQKJLQZyRvV1kbxfZ20X2dpG9TW7MncYIAAAAAAAwi8YIAAAAAAAwi8YIgJjy+/2JLgEJQvZ2kb1dZG8X2dtF9ja5LXdWpUHMsSoNAAAAACCeWJUG1RKr0tgTCoW0bt06hUKhRJeCOCN7u8jeLrK3i+ztInub3Jg7jRHEDavS2BMMBjVv3jwFg8FEl4I4I3u7yN4usreL7O0ie5vcmDuNEQAAAAAAYBaNEQAAAAAAYBaNEcQN0/za4/F4lJ6eLo+HGWasIXu7yN4usreL7O0ie5vcmDur0iDmWJUGAAAAABBPrEqDasnrnoYiyikUCmnVqlWumrEa5UP2dpG9XWRvF9nbRfY2uTF3GiOIGx+vNnOCwaAWL17sqhmrUT5kbxfZ20X2dpG9XWRvkxtz56MqAAAAAAAwi8YIAAAAAAAwi8YI4oZpfu3xeDxq2LChq2asRvmQvV1kbxfZ20X2dpG9TW7MnVVpEHOsSgMAAAAAiCdWpUG15HNPQxHlFAwGtWzZMldNzITyIXu7yN4usreL7O0ie5vcmDuNEcSNl1ebOaFQSMuXL3fVUl4oH7K3i+ztInu7yN4usrfJjbnzURUAAAAAAJhFYwQAAAAAAJhFYwRxwzS/9ni9XrVo0UJerqMyh+ztInu7yN4usreL7G1yY+6sSoOYY1UaAAAAAEA8sSoNqiU/rzZzgsGgFi1a5KoZq1E+ZG8X2dtF9naRvV1kb5Mbc+ejKuLGw3K95oRCIeXm5rpqxmqUD9nbRfZ2kb1dZG8X2dvkxtxpjAAAAAAAALNojAAAAAAAALNojCBuXHSmFcrJ6/Wqbdu2rpqxGuVD9naRvV1kbxfZ20X2Nrkxd1alQcyxKg0AAAAAIJ5YlQbVEqvS2BMIBDR37lwFAoFEl4I4I3u7yN4usreL7O0ie5vcmDsfVRE3rEpjj+M4Wr9+vTgxzR6yt4vs7SJ7u8jeLrK3yY250xgBAAAAAABm0RgBAAAAAABm0RhB3ARZlcYcn8+nzp07y+fzJboUxBnZ20X2dpG9XWRvF9nb5Mbc/YkuAHaEHMk9bx2Uh9frVXZ2dqLLQAKQvV1kbxfZ20X2dpG9TW7MnTNGEDesSmNPIBDQzJkzXTVjNcqH7O0ie7vI3i6yt4vsbXJj7nxURdywKo09juOooKDAVTNWo3zI3i6yt4vs7SJ7u8jeJjfmTmMEAAAAAACYRWMEAAAAAACYRWMEcRMIJroCxJvP51NOTo6rZqxG+ZC9XWRvF9nbRfZ2kb1NbsydVWkQN+65Ag3l5fV61ahRo0SXgQQge7vI3i6yt4vs7SJ7m9yYO2eMIG6S3NNQRDkVFRVp6tSpKioqSnQpiDOyt4vs7SJ7u8jeLrK3yY250xgBEFNuWsYLFUP2dpG9XWRvF9nbRfY2uS13GiMAAAAAAMAsGiMAAAAAAMAsj+M4zImJmMrPz1dmZqY6XzlO3uTURJcjSfrywWGJLsEEx3FUUFCg9PR0eTyeRJeDOCJ7u8jeLrK3i+ztInubakru4c+hW7ZsUUZGxj735YwRxA0dOJtSU6tHMwzxR/Z2kb1dZG8X2dtF9ja5LXcaI4gbVqWxJxAIaNq0aa6bnAn7R/Z2kb1dZG8X2dtF9ja5MXcaIwAAAAAAwCwaIwAAAAAAwCwaIwAAAAAAwCxWpamiXr16qXPnzho7dqwrHnPEiBHKy8vT5MmTo3af4dmAO105Tj5WpTHFcRwFAgH5/f5qPWM1oo/s7SJ7u8jeLrK3i+xtqim5syqNy7311lu65557It+3bNkyro2Zyqq+bxnE0o4dOxJdAhKE7O0ie7vI3i6yt4vsbXJb7jRGaqB69eopPT090WVUmJ9VacwJBAKaNWuWq2asRvmQvV1kbxfZ20X2dpG9TW7MncZIFG3evFnDhg1T3bp1Vbt2bZ100kn68ccfI7dPmDBBWVlZev/999W+fXulpaVpwIAB+uOPPyL7BAIBXXXVVcrKylL9+vV18803a/jw4TrjjDMi+/Tq1UvXXHNN5P9XrVqla6+9Vh6PJ3Iq06hRo9S5c+di9Y0dO1YtW7aMfB8MBnXddddFHuumm27S3ldWhUIhjR49Wq1atVJqaqo6deqkN954IzpPGAAAAAAACeZPdAFuMmLECP3444969913lZGRoZtvvlknn3yyvvvuOyUlJUmStm/froceekgvvfSSvF6vLrjgAt1www2aOHGiJGnMmDGaOHGixo8fr/bt2+uxxx7T5MmT1bt371If86233lKnTp106aWX6pJLLqlQvQ8//LAmTJig//73v2rfvr0efvhhvf322+rTp09kn9GjR+vll1/WuHHj1KZNG33yySe64IIL1LBhQ/Xs2bPU+y0sLFRhYWHk+/z8fElSLZ8U+v9njYQcKRCS/F7Ju8c1NsGQFHSkJK+05+VqgdDuY/beXhSUnP9/33sqa/uu4O5LeoqKioptT0pKUigUUjAYjGzzeDzy+/1lbg8GgwqFQpHtXq9XPp+vzO2BQKBY48nn88nr9Za5fe8a/f7db9e9O7Nlba8OYwqPIXysG8a093bGVPaYpD8zd8uY3JhTtMe0Z11uGdOe2xlT2WMKbw//1w1jcmNOsRhT+Ng9t9X0Mbkxp1iMac/3vVvG5Macoj2mPX/H3/N+qtuYKjKdKo2RKAk3RObMmaPu3btLkiZOnKjmzZtr8uTJOueccyTtfhGNGzdOrVu3liRdccUVuvvuuyP388QTT+jWW2/VmWeeKUl68sknNW3atDIft169evL5fEpPT1eTJk0qVPPYsWN166236qyzzpIkjRs3Tu+//37k9sLCQt1333368MMPlZOTI0k66KCD9Nlnn+nZZ58tszEyevRo3XXXXSW2X3FEhmrXri1J+mrNLv3vpx0acFCqujapFdnn49yd+ji3UIPb11brukmR7VN+3K5Fa4t0Uac0NarzZ7dj4tJt+jkvoGu7ZSjZ/2fH5JmvCrSlMKRbcjKL1XD/vC3KTPYWe079fr9OOeUUbdiwQfPmzYtsT09PV58+fbR69WotXrw4sr1hw4bq3r27fvzxRy1fvjyyvUWLFurSpYuWLFmi3NzcyPa2bduqXbt2+vzzz7V+/frI9s6dOys7O1uffPKJCgoKIttzcnLUqFEjffDBB8V+APXu3VupqaklXg8nn3yyduzYoVmzZlXbMW3cuFHNmjVz1ZjcmFM0x7Rx40ZJ0owZM1wzJjfmFKsxhc9edNOY3JhTtMcUfr+H/+uGMbkxp1iMqUGDBvL7/fr555/1008/uWJMbswplmOaMWOG68YkuS+naI7J7/dr48aN+uKLL6rtmI444giVF6vSVFF4hZg+ffro7LPP1s6dO+Xz/fnBvUuXLjrzzDN15513asKECbr88su1bdu2yO1vv/22zj77bIVCIW3ZskVZWVn6+OOP1aNHj8g+Z511lkKhUGSlmL1XpWnZsqWuueaayOU10u5LaSZPnlzsBTl27FiNHTtWK1euLPOxzjzzTDmOo8mTJ+vbb7/VYYcdpjp16hQb865du9SlSxctWLCg1OektDNGmjdvriOvGSf//1+VJtFnjMy779xi293WxWVMjIkxMSbGxJgYE2NiTIyJMTEmy2Pavn27srKyyrUqDWeMxFn4kpowj8dToVN8ysvr9Za4371fKPuzdetWSdLUqVN1wAEHFLstOTm5zOOSk5NLvT0QlELBvbaFSuy2u9YKbt8VLP92RyVzkHY/Z15vyWl3ytru8/mKNcH2tz38Q6W820ursaLbEz2mUCikDRs2qEGDBhWuvaztiR5TeWqs6HY3jknaPe9SgwYNio2hJo/JjTnFYkx7vu/dMqY9Maaya/f5fJHs96yrJo/JjTnFYkyhUEjr1q1TgwYNSr2fmjimMDflFBbNMe35Mz/8WDV9TOWtsaLb3TSm/b3nq8uYKrKUMJOvRkn79u0VCASKnUWxceNGLV++XB06dCjXfWRmZqpx48bFTkcKBoP66quv9nlcrVq1SlzT2bBhQ61Zs6ZYc2TPs0cyMzPVtGnTYvUGAgF9+eWXke87dOig5ORk5ebm6uCDDy721bx583KNaU+sSmNPMBjUvHnzSrw+4X5kbxfZ20X2dpG9XWRvkxtz54yRKGnTpo0GDhyoSy65RM8++6zS09N1yy236IADDtDAgQPLfT9XXnmlRo8erYMPPljt2rXTE088oc2bN++z29WyZUt98sknGjp0qJKTk9WgQQP16tVL69ev1wMPPKBBgwZp+vTpeu+994qdQnT11Vfr/vvvV5s2bdSuXTs98sgjysvLi9yenp6uG264Qddee61CoZCOO+44bdmyRXPmzFFGRoaGDx9eqecKAAAAAIDqgjNGomj8+PE64ogjdOqppyonJ0eO42jatGllno5Umptvvlnnnnuuhg0bppycHKWlpal///5KSUkp85i7775bK1euVOvWrdWwYUNJu89gefrpp/XUU0+pU6dO+vzzz3XDDTcUO+7666/XX/7yFw0fPlw5OTlKT0+PTPoads899+iOO+7Q6NGj1b59ew0YMEBTp05Vq1atKvDMAAAAAABQPTH5ajUXCoXUvn17DR48WPfcc0+iy6mU/Px8ZWZm6oirx8lJSk10OZKkLx8clugSTAgEAvrkk0/Uo0ePMq8FhDuRvV1kbxfZ20X2dpG9TTUl9/Dn0PJMvkpjpJpZtWqVPvjgA/Xs2VOFhYV68sknNX78eH399ddq3759osurlPALstOV4+RLpjECAAAAAIitijRGuJSmmvF6vZowYYK6deumY489Vt98840+/PDDGtsU2ZO3/JMCwyVCoZBWrVpVbPkt2ED2dpG9XWRvF9nbRfY2uTF3GiPVTPPmzTVnzhxt2bJF+fn5mjt3rnr06JHosqLCx6vNnGAwqMWLF7tqxmqUD9nbRfZ2kb1dZG8X2dvkxtz5qAoAAAAAAMyiMQIAAAAAAMyiMYK4YZpfezwejxo2bCiPhwlmrCF7u8jeLrK3i+ztInub3Jg7q9Ig5liVBgAAAAAQT6xKg2rJ556GIsopGAxq2bJlrpqYCeVD9naRvV1kbxfZ20X2NrkxdxojiBsvrzZzQqGQli9f7qqlvFA+ZG8X2dtF9naRvV1kb5Mbc+ejKgAAAAAAMIvGCAAAAAAAMIvGCOKGaX7t8Xq9atGihbxcR2UO2dtF9naRvV1kbxfZ2+TG3FmVBjHHqjQAAAAAgHhiVRpUS35ebeYEg0EtWrTIVTNWo3zI3i6yt4vs7SJ7u8jeJjfmzkdVxI2H5XrNCYVCys3NddWM1SgfsreL7O0ie7vI3i6yt8mNudMYAQAAAAAAZtEYAQAAAAAAZtEYQdy46EwrlJPX61Xbtm1dNWM1yofs7SJ7u8jeLrK3i+xtcmPurEqDmGNVGgAAAABAPLEqDaolVqWxJxAIaO7cuQoEAokuBXFG9naRvV1kbxfZ20X2Nrkxdz6qIm5YlcYex3G0fv16cWKaPWRvF9nbRfZ2kb1dZG+TG3OnMQIAAAAAAMyiMQIAAAAAAMyiMYK4CbIqjTk+n0+dO3eWz+dLdCmIM7K3i+ztInu7yN4usrfJjbn7E10A7Ag5knveOigPr9er7OzsRJeBBCB7u8jeLrK3i+ztInub3Jg7Z4wgbliVxp5AIKCZM2e6asZqlA/Z20X2dpG9XWRvF9nb5Mbc+aiKuGFVGnscx1FBQYGrZqxG+ZC9XWRvF9nbRfZ2kb1NbsydxggAAAAAADCLxggAAAAAADCLxgjiJhBMdAWIN5/Pp5ycHFfNWI3yIXu7yN4usreL7O0ie5vcmDur0iBu3HMFGsrL6/WqUaNGiS4DCUD2dpG9XWRvF9nbRfY2uTF3zhhB3CS5p6GIcioqKtLUqVNVVFSU6FIQZ2RvF9nbRfZ2kb1dZG+TG3OnMQIgpty0jBcqhuztInu7yN4usreL7G1yW+40RgAAAAAAgFk0RgAAAAAAgFkex3GYExMxlZ+fr8zMTHW+cpy8yamJLkeS9OWDwxJdggmO46igoEDp6enyeDyJLgdxRPZ2kb1dZG8X2dtF9jbVlNzDn0O3bNmijIyMfe7LGSOIGzpwNqWmVo9mGOKP7O0ie7vI3i6yt4vsbXJb7jRGEDesSmNPIBDQtGnTXDc5E/aP7O0ie7vI3i6yt4vsbXJj7jRGAAAAAACAWTRGAAAAAACAWTRGAAAAAACAWaxKg5gLzwbc6cpx8rEqjSmO4ygQCMjv91frGasRfWRvF9nbRfZ2kb1dZG9TTcmdVWlQLVXftwxiaceOHYkuAQlC9naRvV1kbxfZ20X2NrktdxojiBs/q9KYEwgENGvWLFfNWI3yIXu7yN4usreL7O0ie5vcmDuNEQAAAAAAYBaNEQAAAAAAYBaNEQAx5ff7E10CEoTs7SJ7u8jeLrK3i+xtclvurEqDmGNVGgAAAABAPLEqDaolVqWxJxQKad26dQqFQokuBXFG9naRvV1kbxfZ20X2NrkxdxojiBtWpbEnGAxq3rx5CgaDiS4FcUb2dpG9XWRvF9nbRfY2uTF3GiMAAAAAAMAsGiMAAAAAAMAsGiOIG6b5tcfj8Sg9PV0eDzPMWEP2dpG9XWRvF9nbRfY2uTF3VqVBzLEqDQAAAAAgniqyKo27Fh9GtTb77iHKyspKdBmIo1AopNWrV6t58+byejlBzRKyt4vs7SJ7u8jeLrK3yY25u2MUqBHcNGsxyicYDGrx4sVkbxDZ20X2dpG9XWRvF9nb5MbcaYwAAAAAAACzaIwAAAAAAACzaIwgbtw0azHKx+PxqGHDhmRvENnbRfZ2kb1dZG8X2dvkxtxZlQYxV5HZgAEAAAAAqKqKfA7ljBHEjZsm50H5BINBLVu2jOwNInu7yN4usreL7O0ie5vcmDuNEcRNKBRKdAmIs1AopOXLl5O9QWRvF9nbRfZ2kb1dZG+TG3OnMQIAAAAAAMyiMQIAAAAAAMyiMYK48Xp5uVnj9XrVokULsjeI7O0ie7vI3i6yt4vsbXJj7qxKg5hjVRoAAAAAQDyxKg2qJTfNWozyCQaDWrRoEdkbRPZ2kb1dZG8X2dtF9ja5MXcaI4gbN81ajPIJhULKzc0le4PI3i6yt4vs7SJ7u8jeJjfmTmMEAAAAAACY5U90AXC/8DQ2BQUFSkpKSnA1iKeioiJt375d+fn5ZG8M2dtF9naRvV1kbxfZ21RTcs/Pz5f05+fRfaExgpjbuHGjJKlVq1YJrgQAAAAAYElBQYEyMzP3uQ+NEcRcvXr1JEm5ubn7fUHCXfLz89W8eXOtXr2aFYmMIXu7yN4usreL7O0ie5tqSu6O46igoEDNmjXb7740RhBz4fWtMzMzq/UbB7GTkZFB9kaRvV1kbxfZ20X2dpG9TTUh9/L+YZ7JVwEAAAAAgFk0RgAAAAAAgFk0RhBzycnJGjlypJKTkxNdCuKM7O0ie7vI3i6yt4vs7SJ7m9yYu8cpz9o1AAAAAAAALsQZIwAAAAAAwCwaIwAAAAAAwCwaIwAAAAAAwCwaIwAAAAAAwCwaI6i0wsJC3XzzzWrWrJlSU1N19NFHa8aMGeU69rffftPgwYOVlZWljIwMDRw4UL/88kuMK0a0VDb75cuX69prr1X37t2VkpIij8ejlStXxr5gRE1ls3/rrbc0ZMgQHXTQQapdu7batm2r66+/Xnl5ebEvGlFR2ezffvtt9e/fX82aNVNycrIOPPBADRo0SEuXLo1D1YiGqvx7v6cTTzxRHo9HV1xxRQyqRCxUNvtRo0bJ4/GU+EpJSYlD1YiGqr7vX331VeXk5KhOnTrKyspS9+7dNXPmzBhWjGiobO4tW7Ys9T3v8XjUpk2bOFRedf5EF4Caa8SIEXrjjTd0zTXXqE2bNpowYYJOPvlkzZo1S8cdd1yZx23dulW9e/fWli1bdNtttykpKUmPPvqoevbsqcWLF6t+/fpxHAUqo7LZz5s3T48//rg6dOig9u3ba/HixfErGlFR2ewvvfRSNWvWTBdccIFatGihb775Rk8++aSmTZumr776SqmpqXEcBSqjstl/8803qlu3rq6++mo1aNBAa9as0X//+18dddRRmjdvnjp16hTHUaAyKpv9nt566y3NmzcvxpUi2qqa/TPPPKO0tLTI9z6fL5blIoqqkv2oUaN09913a9CgQRoxYoSKioq0dOlS/fbbb3GqHpVV2dzHjh2rrVu3Ftu2atUq3X777erXr1+sy44OB6iEBQsWOJKcBx98MLJtx44dTuvWrZ2cnJx9HjtmzBhHkvP5559Htn3//feOz+dzbr311pjVjOioSvYbN2508vPzHcdxnAcffNCR5KxYsSKW5SKKqpL9rFmzSmx74YUXHEnOc889F+1SEWVVyb40a9ascfx+v/O3v/0tmmUiBqKR/Y4dO5yWLVs6d999tyPJufzyy2NVLqKoKtmPHDnSkeSsX78+1mUiBqqS/bx58xyPx+M88sgjsS4TURbtf+vvueceR5IzZ86caJYZM1xKg0p544035PP5dOmll0a2paSk6KKLLtK8efO0evXqfR7brVs3devWLbKtXbt2OuGEE/Taa6/FtG5UXVWyr1evntLT0+NRJmKgKtn36tWrxLYzzzxTkvT9999HvVZEV1WyL02jRo1Uu3ZtLqWqAaKR/QMPPKBQKKQbbrghlqUiyqKRveM4ys/Pl+M4sSwVUVaV7MeOHasmTZro6quvluM4Jc4iQPUV7X/r/+///k+tWrVS9+7do11qTNAYQaUsWrRIhxxyiDIyMoptP+qooySpzEskQqGQlixZoiOPPLLEbUcddZR+/vlnFRQURL1eRE9ls0fNF+3s16xZI0lq0KBBVOpD7EQj+7y8PK1fv17ffPONLr74YuXn5+uEE06IRbmIoqpmn5ubq/vvv19jxozhkrkaJhrv+4MOOkiZmZlKT0/XBRdcoLVr18aiVERZVbL/6KOP1K1bNz3++ONq2LCh0tPT1bRpUz355JOxLBlREM3f8xYtWqTvv/9e5513XjRLjCnmGEGl/PHHH2ratGmJ7eFtv//+e6nHbdq0SYWFhfs9tm3btlGsFtFU2exR80U7+zFjxsjn82nQoEFRqQ+xE43sjznmGC1fvlySlJaWpttvv10XXXRRdAtF1FU1++uvv15dunTR0KFDY1IfYqcq2detW1dXXHGFcnJylJycrE8//VRPPfWUPv/8cy1cuLDEBy9UL5XNfvPmzdqwYYPmzJmjmTNnauTIkWrRooXGjx+vK6+8UklJSfrb3/4W09pRedH8PW/ixImSpPPPPz86xcUBjRFUyo4dO5ScnFxie3i28R07dpR5nKRKHYvqobLZo+aLZvb/93//p+eff1433XRTjZmt3LJoZD9+/Hjl5+frl19+0fjx47Vjxw4Fg0F5vZy8Wp1VJftZs2bpzTff1IIFC2JWH2KnKtlfffXVxb4/++yzddRRR+n888/X008/rVtuuSW6xSKqKpt9+LKZjRs3atKkSRoyZIgkadCgQerYsaPuvfdeGiPVWLR+zwuFQpo0aZK6dOmi9u3bR7XGWOK3EVRKamqqCgsLS2zfuXNn5PayjpNUqWNRPVQ2e9R80cr+008/1UUXXaT+/fvrX//6V1RrRGxEI/ucnBz1799ff//73/X+++/r5Zdf1q233hr1WhFdlc0+EAjoqquu0l/+8pdic4qh5oj2v/fnnXeemjRpog8//DAq9SF2qvp7flJSUrGzQb1er4YMGaJff/1Vubm5MagY0RCt9/zHH3+s3377rUadLSLRGEElNW3aVH/88UeJ7eFtzZo1K/W4evXqKTk5uVLHonqobPao+aKR/ddff63TTz9dhx12mN544w35/Zy4WBNE+31ft25d9enTJ3KqLaqvymb/4osvavny5frb3/6mlStXRr4kqaCgQCtXrtT27dtjVjeqLhb/3jdv3lybNm2qcm2Irar8np+SkqL69euXWJq5UaNGknZfboPqKVrv+YkTJ8rr9ercc8+Nan2xRmMEldK5c2f98MMPys/PL7Y9fLps586dSz3O6/WqY8eOWrhwYYnbFixYoIMOOohVS6q5ymaPmq+q2f/8888aMGCAGjVqpGnTpiktLS1WpSLKYvG+37Fjh7Zs2RKN8hBDlc0+NzdXRUVFOvbYY9WqVavIl7S7adKqVSt98MEHMa0dVRPt973jOFq5cqUaNmwYrRIRI1X5Pb9z585av369du3aVey28PwU5F99ReM9X1hYqDfffFO9evWqcX8spTGCShk0aJCCwaD+/e9/R7YVFhZq/PjxOvroo9W8eXNJu38xWrZsWYljv/jii2LNkeXLl2vmzJk655xz4jMAVFpVskfNVpXs16xZo379+snr9er999/nF6MapirZr1u3rsT9rVy5Uh999FGpK5Sheqls9kOHDtXbb79d4kuSTj75ZL399ts6+uij4zsYVEhV3vfr168vcX/PPPOM1q9frwEDBsS2cFRZVbIfMmSIgsGgXnjhhci2nTt3auLEierQoUON+7BsSTR+x582bZry8vJq3GU0kiQHqKRzzjnH8fv9zo033ug8++yzTvfu3R2/3+98/PHHkX169uzp7P0yy8/Pd1q3bu00atTIeeCBB5xHH33Uad68udOsWTNn3bp18R4GKqGy2efl5Tn33HOPc8899zgDBgxwJDnXX3+9c8899zhPPPFEvIeBSqhs9p06dXIkOTfddJPz0ksvFfv64IMP4j0MVEJls2/UqJFz7rnnOmPGjHH+/e9/OzfeeKNTr149JyUlxZkzZ068h4FKqGz2pZHkXH755bEsF1FU2exTU1OdESNGOA8//LDz1FNPOeeee67j8Xiczp07O9u2bYv3MFAJlc1++/btzqGHHuokJSU5N9xwg/P444873bp1c3w+nzNt2rR4DwMVVNWf92effbaTnJzs5OXlxavkqKExgkrbsWOHc8MNNzhNmjRxkpOTnW7dujnTp08vtk9Zb5zVq1c7gwYNcjIyMpy0tDTn1FNPdX788cd4lY4qqmz2K1ascCSV+pWdnR3HEaCyKpt9WblLcnr27BnHEaCyKpv9yJEjnSOPPNKpW7eu4/f7nWbNmjlDhw51lixZEs/yUQVV+fd+bzRGapbKZn/xxRc7HTp0cNLT052kpCTn4IMPdm6++WYnPz8/nuWjCqryvl+7dq0zfPhwp169ek5ycrJz9NFHlzgW1VNVct+yZYuTkpLinHXWWfEqN6o8juM4MT8tBQAAAAAAoBpijhEAAAAAAGAWjREAAAAAAGAWjREAAAAAAGAWjREAAAAAAGAWjREAAAAAAGAWjREAAAAAAGAWjREAAAAAAGAWjREAAAAAAGAWjREAAAAAAGAWjREAAAAAAGAWjREAAFAuK1eulMfj2edXXl5ezOuYPXu2PB6PRo0aFfPHiqZw3ZdddlmiS4mZCRMmyOPxaMKECYkuBQCAcvMnugAAAFCztG7dWhdccEGpt6WkpMS5GgAAgKqhMQIAACrk4IMPrnFnawAAAJSFS2kAAEBMLFmyREOHDlXTpk1Vq1YtZWdn68orr9TGjRtL7Pvf//5XAwcOVMuWLZWSkqJ69eqpf//+mjVrVrH9Ro0apd69e0uS7rrrrmKX8axcuVKS1KtXL3k8nlJrGjFiRLF9peKXf0yZMkXHHnus0tPT1bJly8g+u3bt0iOPPKKuXbuqTp06Sk9P1/HHH6933323ak/SHvUWFhbqtttuU4sWLZSamqojjjhCH374oSRpy5Ytuvzyy9WsWTOlpKQoJydHn3/+eYn7atmypVq2bKm8vDz97W9/U5MmTZSSkqIuXbrolVdeKfXxt23bppEjR6pdu3aR5/6UU07RnDlzSuw7atQoeTwezZ49WxMmTFDXrl1Vu3Zt9erVSyNGjNCFF14oSbrwwguLZRP25Zdf6oorrtBhhx2mzMxMpaamqmPHjrr//vtVVFRU5ni2bt2qq6++Ws2aNVNycrIOP/xwvfHGG6WOZ9euXXr00UfVrVs3paenKy0tTR06dNB1112nzZs3F9t33bp1uvbaa3XwwQcrOTlZDRo00Nlnn62lS5eWkRYAwI04YwQAAETdu+++q8GDB8vr9WrgwIFq3ry5vvvuOz355JN6//33tWDBAtWtWzey/+WXX65OnTqpb9++atiwoX777TdNnjxZffv21VtvvaWBAwdK2t1EWLlypV544QX17NlTvXr1itxHVlZWlWp+/fXX9cEHH+jUU0/VP/7xD+Xn50uSCgsLNWDAAM2ePVudO3fWRRddpKKiIk2dOlUDBw7UE088oSuuuKJKjy1JQ4YM0TfffKPTTz9dO3bs0MSJE3Xqqadqzpw5uvTSS7Vr1y6dc845Wr9+vV599VUNGDBAK1asUGZmZrH72bVrl/r27autW7fqL3/5i7Zt26bXXntN5513njZs2KArr7wysu/OnTvVp08fff755+ratauuueYarV27Vq+++qref/99vfLKKzrnnHNK1Prggw9q1qxZGjhwoPr16yefz6du3bopLy9P77zzjgYOHKjOnTuXOO65557TlClT1KNHD5188snavn27Zs+erVtvvVVffPGF3nzzzRLHFBUVqV+/ftq8ebPOPvtsbd++XZMmTdLgwYM1ffp09evXL7Lvjh07dOKJJ2rOnDlq06aNLrzwQiUnJ+vHH3/Us88+q2HDhkVedz///LN69eqlX3/9Vf369dMZZ5yhdevW6c0339T777+vjz76SEcffXRl4wQA1CQOAABAOaxYscKR5LRu3doZOXJkia958+Y5juM4GzZscDIyMpwDDjjAWblyZbH7eOWVVxxJzhVXXFFs+y+//FLi8X7//XenWbNmTps2bYptnzVrliPJGTlyZKl19uzZ0ynrV5zhw4c7kpwVK1ZEto0fP96R5Hi9XmfGjBkljrntttscSc4dd9zhhEKhyPb8/HznyCOPdGrVquX89ttvpT5eaXX/7W9/K7Xe4447ztm6dWtk+6uvvupIcrKyspxzzjnHKSoqitw2ZswYR5Lz8MMPF7uv7OxsR5LTo0cPp7CwMLJ99erVToMGDZzk5GTn119/jWy/6667HEnO+eefX2xsX331lVOrVi0nKyvLyc/Pj2wfOXKkI8mpU6eOs2TJkhJjDD+X48ePL/U5WLVqlRMIBIptC4VCzl//+ldHkvPZZ5+VOp6BAwcWG8+HH37oSHL69+9fbP/rr7/ekeT85S9/KfE4eXl5TkFBQeT77t27Oz6fz5k+fXqx/ZYvX+6kp6c7HTt2LHUMAAD34VIaAABQIT///LPuuuuuEl/z58+XJL344ovKz8/X6NGjlZ2dXezYoUOHqmvXrpo0aVKx7a1atSrxOE2bNtXZZ5+tH3/8UatWrYrdgP6/gQMHqm/fvsW2hUIhPfPMM2rdunXk0p2w9PR03Xnnndq1a5feeuutKj/+v/71L9WpUyfy/aBBg5SUlKS8vDw99NBD8vv/PNH33HPPlSR9/fXXpd7Xfffdp1q1akW+P/DAA3X11VersLCw2HP/wgsvKCkpSffff3+xsXXp0kXDhw9XXl6eJk+eXOL+L730UnXs2LHCY2zRooV8Pl+xbR6PR5dffrkkRS4d2tujjz5abDwnnHCCsrOz9cUXX0S2BQIB/fvf/1ZmZqYee+yxEo+TmZmptLQ0SdKiRYs0d+5cDR8+XP379y+23yGHHKJLLrlE33zzDZfUAIARXEoDAAAqpH///po+fXqZt4cbJAsWLNDPP/9c4vadO3dqw4YN2rBhgxo0aCBJ+uWXXzR69GjNnDlTv/32mwoLC4sd8/vvv5doskTbUUcdVWLb8uXLtXnzZjVr1kx33XVXidvXr18vSVq2bFmVH3/vS0+8Xq8aNWqk7du3q0WLFsVua9q0qaTdz8ve/H6/cnJySmw//vjjJe1uCkhSfn6+fvnlF7Vv314HHnhgif179+6t5557TosXL9Zf/vKXYreV9lyVx65du/Tkk09q0qRJWrZsmbZu3SrHcSK3lzaerKysUhtnBx54oObNmxf5ftmyZSooKFDfvn2LXaZVmvBrdO3ataVOJBzOc9myZTrssMPKNTYAQM1FYwQAAETVpk2bJElPPfXUPvfbtm2bGjRooJ9++klHHXWU8vPz1bt3b5122mnKyMiQ1+vV7Nmz9fHHH5dolMRC48aNS2wLj+Xbb7/Vt99+W+ax27Ztq/LjZ2RklNjm9/vL3C6p1AlLGzRoIK+35EnB4fFt2bJFkiJzqJQ2bunP5kt4v9Luq6IGDRqkKVOm6JBDDtGQIUPUqFGjyFkxjz32WKk57z2HSpjf71coFIp8Hx7XAQccsN86wrlOnTpVU6dOLXO/aOQKAKj+aIwAAICoCn+Q/+abb8r11/ZHH31Umzdv1ksvvaQLLrig2G2XXXaZPv744wo9frgpEAgEil1+Iv354bk0pa1kEx7L2WefXeYqKNXNhg0bFAqFSjRH1q5dK+nPRkN4bOHte1uzZk2x/fZU1qo/+/LFF19oypQp6t+/v6ZOnVrsUpf58+frscceq/B97ik8+e5vv/22333DY4rWxLkAgJqNOUYAAEBUhVfy2PMyh30JX24TXnkmzHGcUpeMDX+gDgaDpd5f+DKKvT8gh0KhMufkKEv79u2VkZGhhQsXlnp2RnUUCARKfe4//fRTSbvnD5F2NwcOOugg/fTTT6U2E2bPni2p5CU++7KvbMI5n3LKKSXm/wjXVhVt27ZVRkaGvvjiixLL8u6toq9RAIC70RgBAABRdeGFFyo9PV3//Oc/S738ZPv27ZE5HiRF5g757LPPiu13//33lzr5Zb169SRJq1evLvXxu3XrJkmaMGFCse2PPPKIVqxYUf6BaPflGn//+9+1atUq3XDDDaU2R5YuXap169ZV6H5j7bbbbtOuXbsi3//666967LHHlJycrKFDh0a2Dx8+XEVFRbr11luLzfWxZMkSTZgwQZmZmTrjjDPK/bj7yqasnL/99luNHj263I9RFr/fr7/97W/asmWLrr766hLNmS1btmjr1q2Sds+RcvTRR+uVV17Rq6++WuK+QqFQhc9UAgDUXFxKAwAAoqphw4Z65ZVXdM4556hTp04aMGCA2rVrp8LCQq1cuVIff/yxunfvHpnA9bLLLtP48eN19tlna/Dgwapfv77mz5+vr776SqecckqJOSDatWunZs2aadKkSUpOTtaBBx4oj8ejK6+8UpmZmbrwwgv1wAMPaNSoUVq8eLFat26thQsXaunSperZs2eFP/Dedddd+uqrr/T4449r6tSp6tGjhxo1aqTffvtN33zzjb7++mvNmzdPjRo1itpzWBVNmzbVtm3bdPjhh+u0007Ttm3b9Nprr2njxo16/PHHi83BcdNNN2nq1Kl66aWX9P333+uEE07QunXr9OqrryoQCOi5555Tenp6uR87JydHqampGjt2rDZv3qyGDRtKkm6//XYdddRROuqoo/Taa6/pjz/+0DHHHKPc3Fy9++67OuWUU6JyqdLdd9+t+fPn66WXXtL8+fN10kknKTk5Wb/88oumT5+uzz77LHIGzCuvvKLevXtr6NChGjt2rLp27arU1FTl5uZq3rx5Wr9+vXbu3FnlmgAA1R+NEQAAEHWnnHKKFi1apAcffFAffvihZsyYoTp16ujAAw/UhRdeWGwukS5duuiDDz7Q7bffrrfeeks+n0/du3fXnDlz9O6775ZojPh8Pr311lu6+eab9corr6igoECSdMEFFygzM1ONGzfWrFmzdP311+uDDz6Q3+9X7969NX/+fN17770VbowkJyfrvffe0/PPP68XX3xRb775pgoLC9W4cWN16NBBl112WaWWro2VWrVqacaMGbrlllv00ksvKS8vT+3atdMTTzwRWeY3LCUlRTNnztSYMWP06quv6tFHH1Xt2rXVs2dP3XbbbTruuOMq9Nj16tXTG2+8oVGjRum5557Tjh07JO1ujPh8Pv3vf//TLbfcounTp+uLL75QmzZt9NBDD+mkk06KSmMkJSVFM2bM0JNPPqmXX35Zzz33nHw+n1q0aKHLLrtMLVu2jOzbqlUrLVq0SI888ogmT56s8ePHy+fzqWnTpurRo4cGDRpU5XoAADWDx9nzvEkAAADUWOEP/itXrkxoHQAA1CTMMQIAAAAAAMyiMQIAAAAAAMyiMQIAAAAAAMxijhEAAAAAAGAWZ4wAAAAAAACzaIwAAAAAAACzaIwAAAAAAACzaIwAAAAAAACzaIwAAAAAAACzaIwAAAAAAACzaIwAAAAAAACzaIwAAAAAAACz/h9+BTtPCKUO2gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "importances = model.feature_importances_\n",
    "\n",
    "indices = np.argsort(importances)[::-1]\n",
    "\n",
    "feature_names = X_train.columns\n",
    "top_indices = indices[:3]\n",
    "top_importances = importances[top_indices]\n",
    "top_feature_names = np.array(feature_names)[top_indices]\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(x=top_importances, y=top_feature_names)\n",
    "plt.title('Top 10 Feature Importances', fontsize=18)\n",
    "plt.xlabel('Feature Importance', fontsize=14)\n",
    "plt.ylabel('Feature', fontsize=14)\n",
    "plt.xticks(rotation=0, fontsize=12)  \n",
    "plt.yticks(fontsize=10)\n",
    "plt.grid(linestyle='--')\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.12.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}