code/03_Exploratory_Data_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4c24d1d7",
   "metadata": {},
   "source": [
    "# Project 2 - Ames Housing Data and Kaggle Challenge"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17e43080",
   "metadata": {},
   "source": [
    "# <span  style='color:blue'> Import packages </span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "1fde8dd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# to IO/manipulate/calculate dataframes\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# to do math/statisctics\n",
    "import statistics as stat\n",
    "import math\n",
    "\n",
    "# to vitualize data\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "# to do modeling with sklrean\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.linear_model import Ridge, RidgeCV\n",
    "from sklearn.linear_model import Lasso, LassoCV\n",
    "\n",
    "\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.model_selection import train_test_split, cross_val_score\n",
    "from sklearn import metrics\n",
    "\n",
    "# other packages\n",
    "import warnings\n",
    "warnings.filterwarnings(action='ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6942ad5e",
   "metadata": {},
   "source": [
    "# <span style='color: blue'> Define functions </span>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5230b7b",
   "metadata": {},
   "source": [
    "# Visulaization functions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37f01cf3",
   "metadata": {},
   "source": [
    "## FUNCTION:  Plot heatmap of Pearson correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "096c6db1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_heatmap(dataset, \n",
    "                title=False):\n",
    "    \"\"\"\n",
    "    input: \n",
    "    dataset which can be the whole dataframe e.g., df\n",
    "    or it can be some features e.g., df[['var1','var2']]\n",
    "    \"\"\"\n",
    "    plt.figure(figsize=(10,10))\n",
    "    sns.set(font_scale = 1.3)\n",
    "\n",
    "    sns.set_style('darkgrid')\n",
    "    sns.set_style(\"ticks\", {\"xtick.major.size\": 8, \"ytick.major.size\": 8})\n",
    "    corr = dataset.corr()\n",
    "    mask = np.zeros_like(corr)\n",
    "    mask[np.triu_indices_from(mask)] = True\n",
    "\n",
    "    sns.heatmap(corr,\n",
    "                annot=True,\n",
    "                cmap='coolwarm',\n",
    "               mask=mask);\n",
    "    if title != False: \n",
    "        plt.title(title,fontsize=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a652b9b1",
   "metadata": {},
   "source": [
    "##  FUNCTION:  Plot pairplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b4cbefb1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_pairplot(dataset,features):\n",
    "    \"\"\"kjhkjhkjhjkh\"\"\"\n",
    "    plt.figure(figsize=(10,10))\n",
    "    sns.set_style('darkgrid')\n",
    "    sns.set_style(\"ticks\", {\"xtick.major.size\": 8, \"ytick.major.size\": 8})\n",
    "    sns.set( font_scale = 1.3)\n",
    "    sns.pairplot(dataset[features],corner=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01661e1a",
   "metadata": {},
   "source": [
    "##  FUNCTION:  plot_swarmplot_category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "52056306",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_swarmplot_category(dataset, category_features=None):\n",
    "    if category_features==None:\n",
    "        category_features = [col for col in dataset.columns if dataset[col].dtype==np.object_]\n",
    "    size_title=26\n",
    "    size_subtitle=14\n",
    "    size_label_xy=15\n",
    "    sns.set(style=\"white\")\n",
    "\n",
    "    fig, axes = plt.subplots(nrows=15, ncols=2, figsize=(12, 50))\n",
    "    # fig.subplots_adjust(hspace=4)\n",
    "    fig.suptitle('Train Dataset\\n\\n\\n', fontsize=size_title,  fontweight='bold', fontname='Ubuntu')\n",
    "\n",
    "    for ax, feature in zip(axes.flatten(), dataset[category_features]):\n",
    "        my_order = dataset.groupby(by=[feature])['sale_price'].mean().sort_values().index\n",
    "        sns.swarmplot(ax=ax, y=dataset[feature], x=dataset['sale_price']/1000, order=list(my_order[::-1]))\n",
    "        ax.tick_params(axis='both', labelsize=size_label_xy)\n",
    "        ax.set_title(feature.upper().replace('_',' '), fontsize=18,  fontweight='normal', fontname='Ubuntu')\n",
    "        ax.set_ylabel(' ',fontsize=size_label_xy)\n",
    "        ax.set_xlabel('Sale Price k[$]',fontsize=size_label_xy)\n",
    "        ax.set(xlim=None, ylim=None)\n",
    "        ax.grid(b=True, which='major', axis='both')\n",
    "\n",
    "    plt.rcParams['xtick.labelsize'] = 15\n",
    "    plt.rcParams['ytick.labelsize'] = 15\n",
    "    plt.rcParams['legend.fontsize'] = 10\n",
    "    plt.rcParams['figure.titlesize'] = 12\n",
    "\n",
    "    plt.tight_layout();\n",
    "    # plt.savefig('seaborn-style.svg', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92728c84",
   "metadata": {},
   "source": [
    "## FUNCTION: plot_barplot_category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "96a5451d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_barplot_category(dataset, category_features=None):\n",
    "    if category_features==None:\n",
    "        category_features = [col for col in dataset.columns if dataset[col].dtype==np.object_]\n",
    "    size_title=26\n",
    "    size_subtitle=14\n",
    "    size_label_xy=15\n",
    "    sns.set(style=\"white\")\n",
    "\n",
    "    fig, axes = plt.subplots(nrows=15, ncols=2, figsize=(12, 50))\n",
    "    # fig.subplots_adjust(hspace=4)\n",
    "    fig.suptitle('Train Dataset\\n\\n\\n', fontsize=size_title,  fontweight='bold', fontname='Ubuntu')\n",
    "\n",
    "    for ax, feature in zip(axes.flatten(), dataset[category_features]):\n",
    "        my_order = dataset.groupby(by=[feature])['sale_price'].mean().sort_values().index\n",
    "        sns.barplot(ax=ax, y=dataset[feature], x=dataset['sale_price']/1000, order=list(my_order[::-1]))\n",
    "        ax.tick_params(axis='both', labelsize=size_label_xy)\n",
    "        ax.set_title(feature.upper().replace('_',' '), fontsize=18,  fontweight='normal', fontname='Ubuntu')\n",
    "        ax.set_ylabel(' ',fontsize=size_label_xy)\n",
    "        ax.set_xlabel('Sale Price k[$]',fontsize=size_label_xy)\n",
    "        ax.set(xlim=None, ylim=None)\n",
    "        ax.grid(b=True, which='major', axis='both')\n",
    "\n",
    "    plt.rcParams['xtick.labelsize'] = 15\n",
    "    plt.rcParams['ytick.labelsize'] = 15\n",
    "    plt.rcParams['legend.fontsize'] = 10\n",
    "    plt.rcParams['figure.titlesize'] = 12\n",
    "\n",
    "    plt.tight_layout();\n",
    "    # plt.savefig('seaborn-style.svg', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42f035ca",
   "metadata": {},
   "source": [
    "## FUNCTION: plot_boxplot_category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "3cbdcd50",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "def plot_boxplot_category(dataset, category_features=None):\n",
    "    if category_features==None:\n",
    "        category_features = [col for col in dataset.columns if dataset[col].dtype==np.object_]\n",
    "    size_title=26\n",
    "    size_subtitle=14\n",
    "    size_label_xy=15\n",
    "    sns.set(style=\"white\")\n",
    "\n",
    "    fig, axes = plt.subplots(nrows=int(1+len(category_features)/3), ncols=3,\n",
    "                             figsize=(12, int(1.5*len(category_features))))\n",
    "    # fig.subplots_adjust(hspace=4)\n",
    "    fig.suptitle('Train Dataset\\n\\n\\n', fontsize=size_title,  fontweight='bold', fontname='Ubuntu')\n",
    "\n",
    "    for ax, feature in zip(axes.flatten(), dataset[category_features]):\n",
    "        my_order = dataset.groupby(by=[feature])['sale_price'].mean().sort_values().index\n",
    "        sns.boxplot(ax=ax, y=dataset[feature], x=dataset['sale_price']/1000, order=list(my_order[::-1]))\n",
    "        ax.tick_params(axis='both', labelsize=size_label_xy)\n",
    "        ax.set_title(feature.upper().replace('_',' '), fontsize=18,  fontweight='bold', fontname='Ubuntu')\n",
    "        ax.set_ylabel(' ',fontsize=size_label_xy)\n",
    "        ax.set_xlabel('Sale Price k[$]',fontsize=size_label_xy)\n",
    "        ax.set(xlim=(0, 600), ylim=None)\n",
    "        ax.grid(b=True, which='major', axis='both')\n",
    "\n",
    "    plt.rcParams['xtick.labelsize'] = 15\n",
    "    plt.rcParams['ytick.labelsize'] = 15\n",
    "    plt.rcParams['legend.fontsize'] = 10\n",
    "    plt.rcParams['figure.titlesize'] = 12\n",
    "\n",
    "    plt.tight_layout();\n",
    "    # plt.savefig('seaborn-style.svg', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d866ba9",
   "metadata": {},
   "source": [
    "# FUNCTION: plot_scatter_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "98592819",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "def plot_scatter_values(dataset, category_features=None, remove_zeros=False):\n",
    "    if category_features==None:\n",
    "        category_features = [col for col in dataset.columns if dataset[col].dtype==np.float64]\n",
    "    size_title=26\n",
    "    size_subtitle=14\n",
    "    size_label_xy=15\n",
    "    sns.set(style=\"white\")\n",
    "\n",
    "    fig, axes = plt.subplots(nrows=int(1+len(category_features)/3), ncols=3,\n",
    "                             figsize=(12, int(1.8*len(category_features))))\n",
    "    # fig.subplots_adjust(hspace=4)\n",
    "    fig.suptitle('Train Dataset\\n\\n\\n', fontsize=size_title,  fontweight='bold', fontname='Ubuntu')\n",
    "\n",
    "    for ax, feature in zip(axes.flatten(), dataset[category_features]):\n",
    "#         if remove_zeros==True:\n",
    "#             dataset=dataset[dataset[feature]>0]\n",
    "        sns.scatterplot(ax=ax, y=dataset[feature], x=dataset['sale_price']/1000)\n",
    "#         sns.kdeplot(ax=ax, y=dataset[feature], x=dataset['sale_price']/1000,\n",
    "#                     n_levels=3, cmap='PiYG', thresh=0.5)\n",
    "        \n",
    "        ax.tick_params(axis='both', labelsize=size_label_xy)\n",
    "        ax.set_title(feature.upper().replace('_',' '), fontsize=18,  fontweight='bold', fontname='Ubuntu')\n",
    "        ax.set_ylabel(' ',fontsize=size_label_xy)\n",
    "        ax.set_xlabel('Sale Price k[$]',fontsize=size_label_xy)\n",
    "        ax.set(xlim=(0, 600), ylim=None)\n",
    "        ax.grid(b=True, which='major', axis='both')\n",
    "\n",
    "    plt.rcParams['xtick.labelsize'] = 15\n",
    "    plt.rcParams['ytick.labelsize'] = 15\n",
    "    plt.rcParams['legend.fontsize'] = 10\n",
    "    plt.rcParams['figure.titlesize'] = 12\n",
    "\n",
    "    plt.tight_layout();\n",
    "    # plt.savefig('seaborn-style.svg', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5be6869a",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "48af5443",
   "metadata": {},
   "source": [
    "# FUNCTION: plot_Heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "63e42b07",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "def plot_heatmap(dataset, category_features=None, remove_zeros=False):\n",
    "    if category_features==None:\n",
    "        category_features = [col for col in dataset.columns if dataset[col].dtype==np.float64]\n",
    "    size_title=26\n",
    "    size_subtitle=14\n",
    "    size_label_xy=15\n",
    "    sns.set(style=\"white\")\n",
    "\n",
    "    fig, ax = plt.subplots(nrows=1, ncols=1)\n",
    "    # fig.subplots_adjust(hspace=4)\n",
    "    fig.suptitle('Train Dataset\\n\\n\\n', fontsize=size_title,  fontweight='bold', fontname='Ubuntu')\n",
    "\n",
    "\n",
    "    sns.heatmap( dataset[category_features].corr())\n",
    "#         sns.kdeplot(ax=ax, y=dataset[feature], x=dataset['sale_price']/1000,\n",
    "#                     n_levels=3, cmap='PiYG', thresh=0.5)\n",
    "\n",
    "    ax.tick_params(axis='both', labelsize=size_label_xy)\n",
    "#     ax.set_title(feature.upper().replace('_',' '), fontsize=18,  fontweight='bold', fontname='Ubuntu')\n",
    "    ax.set_ylabel(' ',fontsize=size_label_xy)\n",
    "    ax.set_xlabel('Sale Price k[$]',fontsize=size_label_xy)\n",
    "    ax.set(xlim=(0, 600), ylim=None)\n",
    "    ax.grid(b=True, which='major', axis='both')\n",
    "\n",
    "    plt.rcParams['xtick.labelsize'] = 15\n",
    "    plt.rcParams['ytick.labelsize'] = 15\n",
    "    plt.rcParams['legend.fontsize'] = 10\n",
    "    plt.rcParams['figure.titlesize'] = 12\n",
    "\n",
    "    plt.tight_layout();\n",
    "    # plt.savefig('seaborn-style.svg', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "92ba72ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot_heatmap(train_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e902cc5",
   "metadata": {},
   "source": [
    "##  FUNCTION:  Count number of nulls/missing in each column "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "460c549d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def check_nulls(dataset):\n",
    "    \"\"\"\n",
    "    This function read the dataset and report the following:\n",
    "    1. column names with null\n",
    "    2. null count \n",
    "    3. null count % \n",
    "    4. the first 10 element of each\n",
    "    \"\"\"\n",
    "    xlist=[]\n",
    "    for col in dataset.columns:\n",
    "        number_of_nulls = dataset[col].isnull().sum()\n",
    "#         print(col,number_of_nulls)\n",
    "        if number_of_nulls!=0:\n",
    "            xlist.append((col,number_of_nulls,\n",
    "                          round(number_of_nulls*100/len(train_df),1) ,dataset[col][0:10].values))\n",
    "    null_data = pd.DataFrame(data=xlist,columns=['column name','null count',\n",
    "                                            'null count %','values example'])\n",
    "    return null_data\n",
    "# COMMENT: LIST comprehensition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "cc4bc297",
   "metadata": {},
   "outputs": [],
   "source": [
    "# null1 = check_nulls(train_df[columns_to_dummy[0:5]])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a5b58e1",
   "metadata": {},
   "source": [
    "##  FUNCTION:  Replace the Null elements with the column's mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "9cde4b0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def replace_null_with_mean(dataset, feature_list):\n",
    "    \"\"\"\n",
    "    Calculate the mean of each column in a dataset and replace nulls with the column's mean\n",
    "    \"\"\"\n",
    "    [ dataset[feature].fillna(dataset[feature].mean(),inplace=True) for feature in feature_list ]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81e97f70",
   "metadata": {},
   "source": [
    "## FUNCTION: Replace the Null elements with the column's mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "00522ff8",
   "metadata": {},
   "outputs": [],
   "source": [
    "def replace_null_with_mode(dataset, feature_list):\n",
    "    \"\"\"\n",
    "    1. To find the most frequent element in the column with object type\n",
    "    2. Replace the np.nan with the mode\n",
    "    \"\"\"\n",
    "    [dataset[feature].fillna(stat.mode(dataset[feature]), inplace=True) for feature in feature_list]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5438530e",
   "metadata": {},
   "source": [
    "## FUNCTION: print_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "c5c7f0b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_dataset(dataset):\n",
    "    with pd.option_context('display.max_rows', 7, 'display.max_columns', None): \n",
    "        display(dataset)    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f693f7cd",
   "metadata": {},
   "source": [
    "## FUNCTION: print_dataset_Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b34158b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_dataset_type(dataset):\n",
    "    with pd.option_context('display.max_rows', None, 'display.max_columns', None):\n",
    "        print(dataset.dtypes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da96ca8d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "6f8db2e8",
   "metadata": {},
   "source": [
    "# <span style='color:Red'> Phase 2: Exploratory Data Analysis  </span>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e89c1aa",
   "metadata": {},
   "source": [
    "# plot data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "e371cb56",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df = pd.read_csv( '../datasets/train_df_cleaned.csv' , index_col = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "d440f5d3",
   "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>Id</th>\n",
       "      <th>Lot Frontage</th>\n",
       "      <th>Lot Area</th>\n",
       "      <th>Land Slope</th>\n",
       "      <th>Year Built</th>\n",
       "      <th>Year Remod/Add</th>\n",
       "      <th>Mas Vnr Area</th>\n",
       "      <th>Exter Qual</th>\n",
       "      <th>Exter Cond</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>Bsmt Qual</th>\n",
       "      <th>Bsmt Cond</th>\n",
       "      <th>Bsmt Exposure</th>\n",
       "      <th>BsmtFin Type 1</th>\n",
       "      <th>BsmtFin SF 1</th>\n",
       "      <th>BsmtFin Type 2</th>\n",
       "      <th>BsmtFin SF 2</th>\n",
       "      <th>Bsmt Unf SF</th>\n",
       "      <th>Total Bsmt SF</th>\n",
       "      <th>Heating QC</th>\n",
       "      <th>1st Flr SF</th>\n",
       "      <th>2nd Flr SF</th>\n",
       "      <th>Gr Liv Area</th>\n",
       "      <th>Bsmt Full Bath</th>\n",
       "      <th>Bsmt Half Bath</th>\n",
       "      <th>Full Bath</th>\n",
       "      <th>Half Bath</th>\n",
       "      <th>Bedroom AbvGr</th>\n",
       "      <th>Kitchen AbvGr</th>\n",
       "      <th>Kitchen Qual</th>\n",
       "      <th>TotRms AbvGrd</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>Fireplace Qu</th>\n",
       "      <th>Garage Yr Blt</th>\n",
       "      <th>Garage Finish</th>\n",
       "      <th>Garage Cars</th>\n",
       "      <th>Garage Area</th>\n",
       "      <th>Garage Qual</th>\n",
       "      <th>Garage Cond</th>\n",
       "      <th>Paved Drive</th>\n",
       "      <th>Wood Deck SF</th>\n",
       "      <th>Open Porch SF</th>\n",
       "      <th>Enclosed Porch</th>\n",
       "      <th>Screen Porch</th>\n",
       "      <th>Pool QC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>Misc Val</th>\n",
       "      <th>Yr Sold</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>MS Zoning_C (all)</th>\n",
       "      <th>MS Zoning_FV</th>\n",
       "      <th>MS Zoning_RH</th>\n",
       "      <th>MS Zoning_RL</th>\n",
       "      <th>MS Zoning_RM</th>\n",
       "      <th>Street_Pave</th>\n",
       "      <th>Lot Shape_IR2</th>\n",
       "      <th>Lot Shape_IR3</th>\n",
       "      <th>Lot Shape_Reg</th>\n",
       "      <th>Land Contour_HLS</th>\n",
       "      <th>Land Contour_Low</th>\n",
       "      <th>Land Contour_Lvl</th>\n",
       "      <th>Utilities_NoSeWa</th>\n",
       "      <th>Neighborhood_Blueste</th>\n",
       "      <th>Neighborhood_BrDale</th>\n",
       "      <th>Neighborhood_BrkSide</th>\n",
       "      <th>Neighborhood_ClearCr</th>\n",
       "      <th>Neighborhood_CollgCr</th>\n",
       "      <th>Neighborhood_Crawfor</th>\n",
       "      <th>Neighborhood_Edwards</th>\n",
       "      <th>Neighborhood_Gilbert</th>\n",
       "      <th>Neighborhood_Greens</th>\n",
       "      <th>Neighborhood_GrnHill</th>\n",
       "      <th>Neighborhood_IDOTRR</th>\n",
       "      <th>Neighborhood_Landmrk</th>\n",
       "      <th>Neighborhood_MeadowV</th>\n",
       "      <th>Neighborhood_Mitchel</th>\n",
       "      <th>Neighborhood_NAmes</th>\n",
       "      <th>Neighborhood_NPkVill</th>\n",
       "      <th>Neighborhood_NWAmes</th>\n",
       "      <th>Neighborhood_NoRidge</th>\n",
       "      <th>Neighborhood_NridgHt</th>\n",
       "      <th>Neighborhood_OldTown</th>\n",
       "      <th>Neighborhood_SWISU</th>\n",
       "      <th>Neighborhood_Sawyer</th>\n",
       "      <th>Neighborhood_SawyerW</th>\n",
       "      <th>Neighborhood_Somerst</th>\n",
       "      <th>Neighborhood_StoneBr</th>\n",
       "      <th>Neighborhood_Timber</th>\n",
       "      <th>Neighborhood_Veenker</th>\n",
       "      <th>Bldg Type_2fmCon</th>\n",
       "      <th>Bldg Type_Duplex</th>\n",
       "      <th>Bldg Type_Twnhs</th>\n",
       "      <th>Bldg Type_TwnhsE</th>\n",
       "      <th>House Style_1.5Unf</th>\n",
       "      <th>House Style_1Story</th>\n",
       "      <th>House Style_2.5Fin</th>\n",
       "      <th>House Style_2.5Unf</th>\n",
       "      <th>House Style_2Story</th>\n",
       "      <th>House Style_SFoyer</th>\n",
       "      <th>House Style_SLvl</th>\n",
       "      <th>Roof Style_Gable</th>\n",
       "      <th>Roof Style_Gambrel</th>\n",
       "      <th>Roof Style_Hip</th>\n",
       "      <th>Roof Style_Mansard</th>\n",
       "      <th>Roof Style_Shed</th>\n",
       "      <th>Roof Matl_Tar&amp;Grv</th>\n",
       "      <th>Roof Matl_WdShake</th>\n",
       "      <th>Exterior 1st_AsphShn</th>\n",
       "      <th>Exterior 1st_BrkComm</th>\n",
       "      <th>Exterior 1st_BrkFace</th>\n",
       "      <th>Exterior 1st_CBlock</th>\n",
       "      <th>Exterior 1st_CemntBd</th>\n",
       "      <th>Exterior 1st_HdBoard</th>\n",
       "      <th>Exterior 1st_ImStucc</th>\n",
       "      <th>Exterior 1st_MetalSd</th>\n",
       "      <th>Exterior 1st_Plywood</th>\n",
       "      <th>Exterior 1st_Stone</th>\n",
       "      <th>Exterior 1st_Stucco</th>\n",
       "      <th>Exterior 1st_VinylSd</th>\n",
       "      <th>Exterior 1st_Wd Sdng</th>\n",
       "      <th>Exterior 1st_WdShing</th>\n",
       "      <th>Exterior 2nd_AsphShn</th>\n",
       "      <th>Exterior 2nd_Brk Cmn</th>\n",
       "      <th>Exterior 2nd_BrkFace</th>\n",
       "      <th>Exterior 2nd_CBlock</th>\n",
       "      <th>Exterior 2nd_CmentBd</th>\n",
       "      <th>Exterior 2nd_HdBoard</th>\n",
       "      <th>Exterior 2nd_ImStucc</th>\n",
       "      <th>Exterior 2nd_MetalSd</th>\n",
       "      <th>Exterior 2nd_Plywood</th>\n",
       "      <th>Exterior 2nd_Stone</th>\n",
       "      <th>Exterior 2nd_Stucco</th>\n",
       "      <th>Exterior 2nd_VinylSd</th>\n",
       "      <th>Exterior 2nd_Wd Sdng</th>\n",
       "      <th>Exterior 2nd_Wd Shng</th>\n",
       "      <th>Condition 1_Feedr</th>\n",
       "      <th>Condition 1_Norm</th>\n",
       "      <th>Condition 1_PosA</th>\n",
       "      <th>Condition 1_PosN</th>\n",
       "      <th>Condition 1_RRAe</th>\n",
       "      <th>Condition 1_RRAn</th>\n",
       "      <th>Condition 1_RRNe</th>\n",
       "      <th>Condition 1_RRNn</th>\n",
       "      <th>Condition 2_Feedr</th>\n",
       "      <th>Condition 2_Norm</th>\n",
       "      <th>Condition 2_PosA</th>\n",
       "      <th>Condition 2_PosN</th>\n",
       "      <th>Condition 2_RRAn</th>\n",
       "      <th>Condition 2_RRNn</th>\n",
       "      <th>Mas Vnr Type_BrkFace</th>\n",
       "      <th>Mas Vnr Type_NA</th>\n",
       "      <th>Mas Vnr Type_None</th>\n",
       "      <th>Mas Vnr Type_Stone</th>\n",
       "      <th>Heating_GasW</th>\n",
       "      <th>Heating_Grav</th>\n",
       "      <th>Heating_OthW</th>\n",
       "      <th>Heating_Wall</th>\n",
       "      <th>Central Air_Y</th>\n",
       "      <th>Electrical_FuseF</th>\n",
       "      <th>Electrical_FuseP</th>\n",
       "      <th>Electrical_Mix</th>\n",
       "      <th>Electrical_SBrkr</th>\n",
       "      <th>Functional_Maj2</th>\n",
       "      <th>Functional_Min1</th>\n",
       "      <th>Functional_Min2</th>\n",
       "      <th>Functional_Mod</th>\n",
       "      <th>Functional_Sal</th>\n",
       "      <th>Functional_Sev</th>\n",
       "      <th>Functional_Typ</th>\n",
       "      <th>Garage Type_Attchd</th>\n",
       "      <th>Garage Type_Basment</th>\n",
       "      <th>Garage Type_BuiltIn</th>\n",
       "      <th>Garage Type_CarPort</th>\n",
       "      <th>Garage Type_Detchd</th>\n",
       "      <th>Garage Type_NA</th>\n",
       "      <th>Sale Type_CWD</th>\n",
       "      <th>Sale Type_Con</th>\n",
       "      <th>Sale Type_ConLD</th>\n",
       "      <th>Sale Type_ConLI</th>\n",
       "      <th>Sale Type_ConLw</th>\n",
       "      <th>Sale Type_New</th>\n",
       "      <th>Sale Type_Oth</th>\n",
       "      <th>Sale Type_WD</th>\n",
       "      <th>Lot Config_CulDSac</th>\n",
       "      <th>Lot Config_FR2</th>\n",
       "      <th>Lot Config_FR3</th>\n",
       "      <th>Lot Config_Inside</th>\n",
       "      <th>Overall Qual_2</th>\n",
       "      <th>Overall Qual_3</th>\n",
       "      <th>Overall Qual_4</th>\n",
       "      <th>Overall Qual_5</th>\n",
       "      <th>Overall Qual_6</th>\n",
       "      <th>Overall Qual_7</th>\n",
       "      <th>Overall Qual_8</th>\n",
       "      <th>Overall Qual_9</th>\n",
       "      <th>Overall Qual_10</th>\n",
       "      <th>Overall Cond_2</th>\n",
       "      <th>Overall Cond_3</th>\n",
       "      <th>Overall Cond_4</th>\n",
       "      <th>Overall Cond_5</th>\n",
       "      <th>Overall Cond_6</th>\n",
       "      <th>Overall Cond_7</th>\n",
       "      <th>Overall Cond_8</th>\n",
       "      <th>Overall Cond_9</th>\n",
       "      <th>MS SubClass_30</th>\n",
       "      <th>MS SubClass_40</th>\n",
       "      <th>MS SubClass_45</th>\n",
       "      <th>MS SubClass_50</th>\n",
       "      <th>MS SubClass_60</th>\n",
       "      <th>MS SubClass_70</th>\n",
       "      <th>MS SubClass_75</th>\n",
       "      <th>MS SubClass_80</th>\n",
       "      <th>MS SubClass_85</th>\n",
       "      <th>MS SubClass_90</th>\n",
       "      <th>MS SubClass_120</th>\n",
       "      <th>MS SubClass_150</th>\n",
       "      <th>MS SubClass_160</th>\n",
       "      <th>MS SubClass_180</th>\n",
       "      <th>MS SubClass_190</th>\n",
       "      <th>Mo Sold_2</th>\n",
       "      <th>Mo Sold_3</th>\n",
       "      <th>Mo Sold_4</th>\n",
       "      <th>Mo Sold_5</th>\n",
       "      <th>Mo Sold_6</th>\n",
       "      <th>Mo Sold_7</th>\n",
       "      <th>Mo Sold_8</th>\n",
       "      <th>Mo Sold_9</th>\n",
       "      <th>Mo Sold_10</th>\n",
       "      <th>Mo Sold_11</th>\n",
       "      <th>Mo Sold_12</th>\n",
       "      <th>Garage Age</th>\n",
       "      <th>Age</th>\n",
       "      <th>remodel age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>109</td>\n",
       "      <td>69.0552</td>\n",
       "      <td>13517</td>\n",
       "      <td>1</td>\n",
       "      <td>1976</td>\n",
       "      <td>2005</td>\n",
       "      <td>289.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>533.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>725.0</td>\n",
       "      <td>4</td>\n",
       "      <td>725</td>\n",
       "      <td>754</td>\n",
       "      <td>1479</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2010</td>\n",
       "      <td>130500</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>34</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>544</td>\n",
       "      <td>43.0000</td>\n",
       "      <td>11492</td>\n",
       "      <td>1</td>\n",
       "      <td>1996</td>\n",
       "      <td>1997</td>\n",
       "      <td>132.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>637.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>913.0</td>\n",
       "      <td>4</td>\n",
       "      <td>913</td>\n",
       "      <td>1209</td>\n",
       "      <td>2122</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>559.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>74</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2009</td>\n",
       "      <td>220000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>153</td>\n",
       "      <td>68.0000</td>\n",
       "      <td>7922</td>\n",
       "      <td>1</td>\n",
       "      <td>1953</td>\n",
       "      <td>2007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>731.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>326.0</td>\n",
       "      <td>1057.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1057</td>\n",
       "      <td>0</td>\n",
       "      <td>1057</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1953.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>246.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>52</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2010</td>\n",
       "      <td>109000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>57</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2048</th>\n",
       "      <td>916</td>\n",
       "      <td>57.0000</td>\n",
       "      <td>7558</td>\n",
       "      <td>1</td>\n",
       "      <td>1928</td>\n",
       "      <td>1950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>896.0</td>\n",
       "      <td>896.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1172</td>\n",
       "      <td>741</td>\n",
       "      <td>1913</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1929.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>342.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2009</td>\n",
       "      <td>177000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>81</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2049</th>\n",
       "      <td>639</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>10400</td>\n",
       "      <td>1</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>155.0</td>\n",
       "      <td>2</td>\n",
       "      <td>750.0</td>\n",
       "      <td>295.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1200</td>\n",
       "      <td>0</td>\n",
       "      <td>1200</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1956.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>189</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2009</td>\n",
       "      <td>144000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2050</th>\n",
       "      <td>10</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>7500</td>\n",
       "      <td>1</td>\n",
       "      <td>1999</td>\n",
       "      <td>1999</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>994.0</td>\n",
       "      <td>994.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1028</td>\n",
       "      <td>776</td>\n",
       "      <td>1804</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>442.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>140</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2010</td>\n",
       "      <td>189000</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1762 rows × 233 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Id  Lot Frontage  Lot Area  Land Slope  Year Built  Year Remod/Add  \\\n",
       "0     109       69.0552     13517           1        1976            2005   \n",
       "1     544       43.0000     11492           1        1996            1997   \n",
       "2     153       68.0000      7922           1        1953            2007   \n",
       "...   ...           ...       ...         ...         ...             ...   \n",
       "2048  916       57.0000      7558           1        1928            1950   \n",
       "2049  639       80.0000     10400           1        1956            1956   \n",
       "2050   10       60.0000      7500           1        1999            1999   \n",
       "\n",
       "      Mas Vnr Area  Exter Qual  Exter Cond  Foundation  Bsmt Qual  Bsmt Cond  \\\n",
       "0            289.0           3           2           3          2          2   \n",
       "1            132.0           3           2           4          3          2   \n",
       "2              0.0           2           3           3          2          2   \n",
       "...            ...         ...         ...         ...        ...        ...   \n",
       "2048           0.0           2           2           2          2          2   \n",
       "2049           0.0           2           2           3          2          2   \n",
       "2050           0.0           2           2           4          2          2   \n",
       "\n",
       "      Bsmt Exposure  BsmtFin Type 1  BsmtFin SF 1  BsmtFin Type 2  \\\n",
       "0                 0               6         533.0               1   \n",
       "1                 0               6         637.0               1   \n",
       "2                 0               6         731.0               1   \n",
       "...             ...             ...           ...             ...   \n",
       "2048              0               1           0.0               1   \n",
       "2049              0               3         155.0               2   \n",
       "2050              0               1           0.0               1   \n",
       "\n",
       "      BsmtFin SF 2  Bsmt Unf SF  Total Bsmt SF  Heating QC  1st Flr SF  \\\n",
       "0              0.0        192.0          725.0           4         725   \n",
       "1              0.0        276.0          913.0           4         913   \n",
       "2              0.0        326.0         1057.0           2        1057   \n",
       "...            ...          ...            ...         ...         ...   \n",
       "2048           0.0        896.0          896.0           3        1172   \n",
       "2049         750.0        295.0         1200.0           2        1200   \n",
       "2050           0.0        994.0          994.0           3        1028   \n",
       "\n",
       "      2nd Flr SF  Gr Liv Area  Bsmt Full Bath  Bsmt Half Bath  Full Bath  \\\n",
       "0            754         1479             0.0             0.0          2   \n",
       "1           1209         2122             1.0             0.0          2   \n",
       "2              0         1057             1.0             0.0          1   \n",
       "...          ...          ...             ...             ...        ...   \n",
       "2048         741         1913             0.0             0.0          1   \n",
       "2049           0         1200             1.0             0.0          1   \n",
       "2050         776         1804             0.0             0.0          2   \n",
       "\n",
       "      Half Bath  Bedroom AbvGr  Kitchen AbvGr  Kitchen Qual  TotRms AbvGrd  \\\n",
       "0             1              3              1             3              6   \n",
       "1             1              4              1             3              8   \n",
       "2             0              3              1             3              5   \n",
       "...         ...            ...            ...           ...            ...   \n",
       "2048          1              3              1             2              9   \n",
       "2049          0              3              1             2              6   \n",
       "2050          1              3              1             3              7   \n",
       "\n",
       "      Fireplaces  Fireplace Qu  Garage Yr Blt  Garage Finish  Garage Cars  \\\n",
       "0              0             0         1976.0              2          2.0   \n",
       "1              1             2         1997.0              2          2.0   \n",
       "2              0             0         1953.0              1          1.0   \n",
       "...          ...           ...            ...            ...          ...   \n",
       "2048           1             2         1929.0              1          2.0   \n",
       "2049           2             3         1956.0              1          1.0   \n",
       "2050           1             2         1999.0              3          2.0   \n",
       "\n",
       "      Garage Area  Garage Qual  Garage Cond  Paved Drive  Wood Deck SF  \\\n",
       "0           475.0            2            2            3             0   \n",
       "1           559.0            2            2            3             0   \n",
       "2           246.0            2            2            3             0   \n",
       "...           ...          ...          ...          ...           ...   \n",
       "2048        342.0            1            1            3             0   \n",
       "2049        294.0            2            2            3             0   \n",
       "2050        442.0            2            2            3           140   \n",
       "\n",
       "      Open Porch SF  Enclosed Porch  Screen Porch  Pool QC  Fence  Misc Val  \\\n",
       "0                44               0             0        0      0         0   \n",
       "1                74               0             0        0      0         0   \n",
       "2                52               0             0        0      0         0   \n",
       "...             ...             ...           ...      ...    ...       ...   \n",
       "2048              0               0             0        0      0         0   \n",
       "2049            189             140             0        0      0         0   \n",
       "2050             60               0             0        0      0         0   \n",
       "\n",
       "      Yr Sold  SalePrice  MS Zoning_C (all)  MS Zoning_FV  MS Zoning_RH  \\\n",
       "0        2010     130500                  0             0             0   \n",
       "1        2009     220000                  0             0             0   \n",
       "2        2010     109000                  0             0             0   \n",
       "...       ...        ...                ...           ...           ...   \n",
       "2048     2009     177000                  0             0             0   \n",
       "2049     2009     144000                  0             0             0   \n",
       "2050     2010     189000                  0             0             0   \n",
       "\n",
       "      MS Zoning_RL  MS Zoning_RM  Street_Pave  Lot Shape_IR2  Lot Shape_IR3  \\\n",
       "0                1             0            1              0              0   \n",
       "1                1             0            1              0              0   \n",
       "2                1             0            1              0              0   \n",
       "...            ...           ...          ...            ...            ...   \n",
       "2048             1             0            1              0              0   \n",
       "2049             1             0            1              0              0   \n",
       "2050             1             0            1              0              0   \n",
       "\n",
       "      Lot Shape_Reg  Land Contour_HLS  Land Contour_Low  Land Contour_Lvl  \\\n",
       "0                 0                 0                 0                 1   \n",
       "1                 0                 0                 0                 1   \n",
       "2                 1                 0                 0                 1   \n",
       "...             ...               ...               ...               ...   \n",
       "2048              1                 0                 0                 0   \n",
       "2049              1                 0                 0                 1   \n",
       "2050              1                 0                 0                 1   \n",
       "\n",
       "      Utilities_NoSeWa  Neighborhood_Blueste  Neighborhood_BrDale  \\\n",
       "0                    0                     0                    0   \n",
       "1                    0                     0                    0   \n",
       "2                    0                     0                    0   \n",
       "...                ...                   ...                  ...   \n",
       "2048                 0                     0                    0   \n",
       "2049                 0                     0                    0   \n",
       "2050                 0                     0                    0   \n",
       "\n",
       "      Neighborhood_BrkSide  Neighborhood_ClearCr  Neighborhood_CollgCr  \\\n",
       "0                        0                     0                     0   \n",
       "1                        0                     0                     0   \n",
       "2                        0                     0                     0   \n",
       "...                    ...                   ...                   ...   \n",
       "2048                     0                     0                     0   \n",
       "2049                     0                     0                     0   \n",
       "2050                     0                     0                     0   \n",
       "\n",
       "      Neighborhood_Crawfor  Neighborhood_Edwards  Neighborhood_Gilbert  \\\n",
       "0                        0                     0                     0   \n",
       "1                        0                     0                     0   \n",
       "2                        0                     0                     0   \n",
       "...                    ...                   ...                   ...   \n",
       "2048                     1                     0                     0   \n",
       "2049                     0                     0                     0   \n",
       "2050                     0                     0                     1   \n",
       "\n",
       "      Neighborhood_Greens  Neighborhood_GrnHill  Neighborhood_IDOTRR  \\\n",
       "0                       0                     0                    0   \n",
       "1                       0                     0                    0   \n",
       "2                       0                     0                    0   \n",
       "...                   ...                   ...                  ...   \n",
       "2048                    0                     0                    0   \n",
       "2049                    0                     0                    0   \n",
       "2050                    0                     0                    0   \n",
       "\n",
       "      Neighborhood_Landmrk  Neighborhood_MeadowV  Neighborhood_Mitchel  \\\n",
       "0                        0                     0                     0   \n",
       "1                        0                     0                     0   \n",
       "2                        0                     0                     0   \n",
       "...                    ...                   ...                   ...   \n",
       "2048                     0                     0                     0   \n",
       "2049                     0                     0                     0   \n",
       "2050                     0                     0                     0   \n",
       "\n",
       "      Neighborhood_NAmes  Neighborhood_NPkVill  Neighborhood_NWAmes  \\\n",
       "0                      0                     0                    0   \n",
       "1                      0                     0                    0   \n",
       "2                      1                     0                    0   \n",
       "...                  ...                   ...                  ...   \n",
       "2048                   0                     0                    0   \n",
       "2049                   1                     0                    0   \n",
       "2050                   0                     0                    0   \n",
       "\n",
       "      Neighborhood_NoRidge  Neighborhood_NridgHt  Neighborhood_OldTown  \\\n",
       "0                        0                     0                     0   \n",
       "1                        0                     0                     0   \n",
       "2                        0                     0                     0   \n",
       "...                    ...                   ...                   ...   \n",
       "2048                     0                     0                     0   \n",
       "2049                     0                     0                     0   \n",
       "2050                     0                     0                     0   \n",
       "\n",
       "      Neighborhood_SWISU  Neighborhood_Sawyer  Neighborhood_SawyerW  \\\n",
       "0                      0                    1                     0   \n",
       "1                      0                    0                     1   \n",
       "2                      0                    0                     0   \n",
       "...                  ...                  ...                   ...   \n",
       "2048                   0                    0                     0   \n",
       "2049                   0                    0                     0   \n",
       "2050                   0                    0                     0   \n",
       "\n",
       "      Neighborhood_Somerst  Neighborhood_StoneBr  Neighborhood_Timber  \\\n",
       "0                        0                     0                    0   \n",
       "1                        0                     0                    0   \n",
       "2                        0                     0                    0   \n",
       "...                    ...                   ...                  ...   \n",
       "2048                     0                     0                    0   \n",
       "2049                     0                     0                    0   \n",
       "2050                     0                     0                    0   \n",
       "\n",
       "      Neighborhood_Veenker  Bldg Type_2fmCon  Bldg Type_Duplex  \\\n",
       "0                        0                 0                 0   \n",
       "1                        0                 0                 0   \n",
       "2                        0                 0                 0   \n",
       "...                    ...               ...               ...   \n",
       "2048                     0                 0                 0   \n",
       "2049                     0                 0                 0   \n",
       "2050                     0                 0                 0   \n",
       "\n",
       "      Bldg Type_Twnhs  Bldg Type_TwnhsE  House Style_1.5Unf  \\\n",
       "0                   0                 0                   0   \n",
       "1                   0                 0                   0   \n",
       "2                   0                 0                   0   \n",
       "...               ...               ...                 ...   \n",
       "2048                0                 0                   0   \n",
       "2049                0                 0                   0   \n",
       "2050                0                 0                   0   \n",
       "\n",
       "      House Style_1Story  House Style_2.5Fin  House Style_2.5Unf  \\\n",
       "0                      0                   0                   0   \n",
       "1                      0                   0                   0   \n",
       "2                      1                   0                   0   \n",
       "...                  ...                 ...                 ...   \n",
       "2048                   0                   0                   0   \n",
       "2049                   1                   0                   0   \n",
       "2050                   0                   0                   0   \n",
       "\n",
       "      House Style_2Story  House Style_SFoyer  House Style_SLvl  \\\n",
       "0                      1                   0                 0   \n",
       "1                      1                   0                 0   \n",
       "2                      0                   0                 0   \n",
       "...                  ...                 ...               ...   \n",
       "2048                   0                   0                 0   \n",
       "2049                   0                   0                 0   \n",
       "2050                   1                   0                 0   \n",
       "\n",
       "      Roof Style_Gable  Roof Style_Gambrel  Roof Style_Hip  \\\n",
       "0                    1                   0               0   \n",
       "1                    1                   0               0   \n",
       "2                    1                   0               0   \n",
       "...                ...                 ...             ...   \n",
       "2048                 1                   0               0   \n",
       "2049                 1                   0               0   \n",
       "2050                 1                   0               0   \n",
       "\n",
       "      Roof Style_Mansard  Roof Style_Shed  Roof Matl_Tar&Grv  \\\n",
       "0                      0                0                  0   \n",
       "1                      0                0                  0   \n",
       "2                      0                0                  0   \n",
       "...                  ...              ...                ...   \n",
       "2048                   0                0                  0   \n",
       "2049                   0                0                  0   \n",
       "2050                   0                0                  0   \n",
       "\n",
       "      Roof Matl_WdShake  Exterior 1st_AsphShn  Exterior 1st_BrkComm  \\\n",
       "0                     0                     0                     0   \n",
       "1                     0                     0                     0   \n",
       "2                     0                     0                     0   \n",
       "...                 ...                   ...                   ...   \n",
       "2048                  0                     0                     0   \n",
       "2049                  0                     0                     0   \n",
       "2050                  0                     0                     0   \n",
       "\n",
       "      Exterior 1st_BrkFace  Exterior 1st_CBlock  Exterior 1st_CemntBd  \\\n",
       "0                        0                    0                     0   \n",
       "1                        0                    0                     0   \n",
       "2                        0                    0                     0   \n",
       "...                    ...                  ...                   ...   \n",
       "2048                     1                    0                     0   \n",
       "2049                     0                    0                     0   \n",
       "2050                     0                    0                     0   \n",
       "\n",
       "      Exterior 1st_HdBoard  Exterior 1st_ImStucc  Exterior 1st_MetalSd  \\\n",
       "0                        1                     0                     0   \n",
       "1                        0                     0                     0   \n",
       "2                        0                     0                     0   \n",
       "...                    ...                   ...                   ...   \n",
       "2048                     0                     0                     0   \n",
       "2049                     0                     0                     0   \n",
       "2050                     0                     0                     0   \n",
       "\n",
       "      Exterior 1st_Plywood  Exterior 1st_Stone  Exterior 1st_Stucco  \\\n",
       "0                        0                   0                    0   \n",
       "1                        0                   0                    0   \n",
       "2                        0                   0                    0   \n",
       "...                    ...                 ...                  ...   \n",
       "2048                     0                   0                    0   \n",
       "2049                     1                   0                    0   \n",
       "2050                     0                   0                    0   \n",
       "\n",
       "      Exterior 1st_VinylSd  Exterior 1st_Wd Sdng  Exterior 1st_WdShing  \\\n",
       "0                        0                     0                     0   \n",
       "1                        1                     0                     0   \n",
       "2                        1                     0                     0   \n",
       "...                    ...                   ...                   ...   \n",
       "2048                     0                     0                     0   \n",
       "2049                     0                     0                     0   \n",
       "2050                     1                     0                     0   \n",
       "\n",
       "      Exterior 2nd_AsphShn  Exterior 2nd_Brk Cmn  Exterior 2nd_BrkFace  \\\n",
       "0                        0                     0                     0   \n",
       "1                        0                     0                     0   \n",
       "2                        0                     0                     0   \n",
       "...                    ...                   ...                   ...   \n",
       "2048                     0                     0                     0   \n",
       "2049                     0                     0                     0   \n",
       "2050                     0                     0                     0   \n",
       "\n",
       "      Exterior 2nd_CBlock  Exterior 2nd_CmentBd  Exterior 2nd_HdBoard  \\\n",
       "0                       0                     0                     0   \n",
       "1                       0                     0                     0   \n",
       "2                       0                     0                     0   \n",
       "...                   ...                   ...                   ...   \n",
       "2048                    0                     0                     0   \n",
       "2049                    0                     0                     0   \n",
       "2050                    0                     0                     0   \n",
       "\n",
       "      Exterior 2nd_ImStucc  Exterior 2nd_MetalSd  Exterior 2nd_Plywood  \\\n",
       "0                        0                     0                     1   \n",
       "1                        0                     0                     0   \n",
       "2                        0                     0                     0   \n",
       "...                    ...                   ...                   ...   \n",
       "2048                     0                     0                     0   \n",
       "2049                     0                     0                     1   \n",
       "2050                     0                     0                     0   \n",
       "\n",
       "      Exterior 2nd_Stone  Exterior 2nd_Stucco  Exterior 2nd_VinylSd  \\\n",
       "0                      0                    0                     0   \n",
       "1                      0                    0                     1   \n",
       "2                      0                    0                     1   \n",
       "...                  ...                  ...                   ...   \n",
       "2048                   1                    0                     0   \n",
       "2049                   0                    0                     0   \n",
       "2050                   0                    0                     1   \n",
       "\n",
       "      Exterior 2nd_Wd Sdng  Exterior 2nd_Wd Shng  Condition 1_Feedr  \\\n",
       "0                        0                     0                  0   \n",
       "1                        0                     0                  0   \n",
       "2                        0                     0                  0   \n",
       "...                    ...                   ...                ...   \n",
       "2048                     0                     0                  0   \n",
       "2049                     0                     0                  0   \n",
       "2050                     0                     0                  0   \n",
       "\n",
       "      Condition 1_Norm  Condition 1_PosA  Condition 1_PosN  Condition 1_RRAe  \\\n",
       "0                    0                 0                 0                 1   \n",
       "1                    1                 0                 0                 0   \n",
       "2                    1                 0                 0                 0   \n",
       "...                ...               ...               ...               ...   \n",
       "2048                 1                 0                 0                 0   \n",
       "2049                 1                 0                 0                 0   \n",
       "2050                 1                 0                 0                 0   \n",
       "\n",
       "      Condition 1_RRAn  Condition 1_RRNe  Condition 1_RRNn  Condition 2_Feedr  \\\n",
       "0                    0                 0                 0                  0   \n",
       "1                    0                 0                 0                  0   \n",
       "2                    0                 0                 0                  0   \n",
       "...                ...               ...               ...                ...   \n",
       "2048                 0                 0                 0                  0   \n",
       "2049                 0                 0                 0                  0   \n",
       "2050                 0                 0                 0                  0   \n",
       "\n",
       "      Condition 2_Norm  Condition 2_PosA  Condition 2_PosN  Condition 2_RRAn  \\\n",
       "0                    1                 0                 0                 0   \n",
       "1                    1                 0                 0                 0   \n",
       "2                    1                 0                 0                 0   \n",
       "...                ...               ...               ...               ...   \n",
       "2048                 1                 0                 0                 0   \n",
       "2049                 1                 0                 0                 0   \n",
       "2050                 1                 0                 0                 0   \n",
       "\n",
       "      Condition 2_RRNn  Mas Vnr Type_BrkFace  Mas Vnr Type_NA  \\\n",
       "0                    0                     1                0   \n",
       "1                    0                     1                0   \n",
       "2                    0                     0                0   \n",
       "...                ...                   ...              ...   \n",
       "2048                 0                     0                0   \n",
       "2049                 0                     0                0   \n",
       "2050                 0                     0                0   \n",
       "\n",
       "      Mas Vnr Type_None  Mas Vnr Type_Stone  Heating_GasW  Heating_Grav  \\\n",
       "0                     0                   0             0             0   \n",
       "1                     0                   0             0             0   \n",
       "2                     1                   0             0             0   \n",
       "...                 ...                 ...           ...           ...   \n",
       "2048                  1                   0             0             0   \n",
       "2049                  1                   0             0             0   \n",
       "2050                  1                   0             0             0   \n",
       "\n",
       "      Heating_OthW  Heating_Wall  Central Air_Y  Electrical_FuseF  \\\n",
       "0                0             0              1                 0   \n",
       "1                0             0              1                 0   \n",
       "2                0             0              1                 0   \n",
       "...            ...           ...            ...               ...   \n",
       "2048             0             0              1                 0   \n",
       "2049             0             0              1                 0   \n",
       "2050             0             0              1                 0   \n",
       "\n",
       "      Electrical_FuseP  Electrical_Mix  Electrical_SBrkr  Functional_Maj2  \\\n",
       "0                    0               0                 1                0   \n",
       "1                    0               0                 1                0   \n",
       "2                    0               0                 1                0   \n",
       "...                ...             ...               ...              ...   \n",
       "2048                 0               0                 1                0   \n",
       "2049                 0               0                 1                0   \n",
       "2050                 0               0                 1                0   \n",
       "\n",
       "      Functional_Min1  Functional_Min2  Functional_Mod  Functional_Sal  \\\n",
       "0                   0                0               0               0   \n",
       "1                   0                0               0               0   \n",
       "2                   0                0               0               0   \n",
       "...               ...              ...             ...             ...   \n",
       "2048                0                0               0               0   \n",
       "2049                0                0               0               0   \n",
       "2050                0                0               0               0   \n",
       "\n",
       "      Functional_Sev  Functional_Typ  Garage Type_Attchd  Garage Type_Basment  \\\n",
       "0                  0               1                   1                    0   \n",
       "1                  0               1                   1                    0   \n",
       "2                  0               1                   0                    0   \n",
       "...              ...             ...                 ...                  ...   \n",
       "2048               0               1                   0                    0   \n",
       "2049               0               1                   1                    0   \n",
       "2050               0               1                   1                    0   \n",
       "\n",
       "      Garage Type_BuiltIn  Garage Type_CarPort  Garage Type_Detchd  \\\n",
       "0                       0                    0                   0   \n",
       "1                       0                    0                   0   \n",
       "2                       0                    0                   1   \n",
       "...                   ...                  ...                 ...   \n",
       "2048                    0                    0                   1   \n",
       "2049                    0                    0                   0   \n",
       "2050                    0                    0                   0   \n",
       "\n",
       "      Garage Type_NA  Sale Type_CWD  Sale Type_Con  Sale Type_ConLD  \\\n",
       "0                  0              0              0                0   \n",
       "1                  0              0              0                0   \n",
       "2                  0              0              0                0   \n",
       "...              ...            ...            ...              ...   \n",
       "2048               0              0              0                0   \n",
       "2049               0              0              0                0   \n",
       "2050               0              0              0                0   \n",
       "\n",
       "      Sale Type_ConLI  Sale Type_ConLw  Sale Type_New  Sale Type_Oth  \\\n",
       "0                   0                0              0              0   \n",
       "1                   0                0              0              0   \n",
       "2                   0                0              0              0   \n",
       "...               ...              ...            ...            ...   \n",
       "2048                0                0              0              0   \n",
       "2049                0                0              0              0   \n",
       "2050                0                0              0              0   \n",
       "\n",
       "      Sale Type_WD   Lot Config_CulDSac  Lot Config_FR2  Lot Config_FR3  \\\n",
       "0                 1                   1               0               0   \n",
       "1                 1                   1               0               0   \n",
       "2                 1                   0               0               0   \n",
       "...             ...                 ...             ...             ...   \n",
       "2048              1                   0               0               0   \n",
       "2049              1                   0               0               0   \n",
       "2050              1                   0               0               0   \n",
       "\n",
       "      Lot Config_Inside  Overall Qual_2  Overall Qual_3  Overall Qual_4  \\\n",
       "0                     0               0               0               0   \n",
       "1                     0               0               0               0   \n",
       "2                     1               0               0               0   \n",
       "...                 ...             ...             ...             ...   \n",
       "2048                  1               0               0               0   \n",
       "2049                  0               0               0               1   \n",
       "2050                  1               0               0               0   \n",
       "\n",
       "      Overall Qual_5  Overall Qual_6  Overall Qual_7  Overall Qual_8  \\\n",
       "0                  0               1               0               0   \n",
       "1                  0               0               1               0   \n",
       "2                  1               0               0               0   \n",
       "...              ...             ...             ...             ...   \n",
       "2048               0               1               0               0   \n",
       "2049               0               0               0               0   \n",
       "2050               0               0               1               0   \n",
       "\n",
       "      Overall Qual_9  Overall Qual_10  Overall Cond_2  Overall Cond_3  \\\n",
       "0                  0                0               0               0   \n",
       "1                  0                0               0               0   \n",
       "2                  0                0               0               0   \n",
       "...              ...              ...             ...             ...   \n",
       "2048               0                0               0               0   \n",
       "2049               0                0               0               0   \n",
       "2050               0                0               0               0   \n",
       "\n",
       "      Overall Cond_4  Overall Cond_5  Overall Cond_6  Overall Cond_7  \\\n",
       "0                  0               0               0               0   \n",
       "1                  0               1               0               0   \n",
       "2                  0               0               0               1   \n",
       "...              ...             ...             ...             ...   \n",
       "2048               0               0               1               0   \n",
       "2049               0               1               0               0   \n",
       "2050               0               1               0               0   \n",
       "\n",
       "      Overall Cond_8  Overall Cond_9  MS SubClass_30  MS SubClass_40  \\\n",
       "0                  1               0               0               0   \n",
       "1                  0               0               0               0   \n",
       "2                  0               0               0               0   \n",
       "...              ...             ...             ...             ...   \n",
       "2048               0               0               0               0   \n",
       "2049               0               0               0               0   \n",
       "2050               0               0               0               0   \n",
       "\n",
       "      MS SubClass_45  MS SubClass_50  MS SubClass_60  MS SubClass_70  \\\n",
       "0                  0               0               1               0   \n",
       "1                  0               0               1               0   \n",
       "2                  0               0               0               0   \n",
       "...              ...             ...             ...             ...   \n",
       "2048               0               1               0               0   \n",
       "2049               0               0               0               0   \n",
       "2050               0               0               1               0   \n",
       "\n",
       "      MS SubClass_75  MS SubClass_80  MS SubClass_85  MS SubClass_90  \\\n",
       "0                  0               0               0               0   \n",
       "1                  0               0               0               0   \n",
       "2                  0               0               0               0   \n",
       "...              ...             ...             ...             ...   \n",
       "2048               0               0               0               0   \n",
       "2049               0               0               0               0   \n",
       "2050               0               0               0               0   \n",
       "\n",
       "      MS SubClass_120  MS SubClass_150  MS SubClass_160  MS SubClass_180  \\\n",
       "0                   0                0                0                0   \n",
       "1                   0                0                0                0   \n",
       "2                   0                0                0                0   \n",
       "...               ...              ...              ...              ...   \n",
       "2048                0                0                0                0   \n",
       "2049                0                0                0                0   \n",
       "2050                0                0                0                0   \n",
       "\n",
       "      MS SubClass_190  Mo Sold_2  Mo Sold_3  Mo Sold_4  Mo Sold_5  Mo Sold_6  \\\n",
       "0                   0          0          1          0          0          0   \n",
       "1                   0          0          0          1          0          0   \n",
       "2                   0          0          0          0          0          0   \n",
       "...               ...        ...        ...        ...        ...        ...   \n",
       "2048                0          0          1          0          0          0   \n",
       "2049                0          0          0          0          0          0   \n",
       "2050                0          0          0          0          0          1   \n",
       "\n",
       "      Mo Sold_7  Mo Sold_8  Mo Sold_9  Mo Sold_10  Mo Sold_11  Mo Sold_12  \\\n",
       "0             0          0          0           0           0           0   \n",
       "1             0          0          0           0           0           0   \n",
       "2             0          0          0           0           0           0   \n",
       "...         ...        ...        ...         ...         ...         ...   \n",
       "2048          0          0          0           0           0           0   \n",
       "2049          0          0          0           0           1           0   \n",
       "2050          0          0          0           0           0           0   \n",
       "\n",
       "      Garage Age  Age  remodel age  \n",
       "0           34.0   34            5  \n",
       "1           12.0   13           12  \n",
       "2           57.0   57            3  \n",
       "...          ...  ...          ...  \n",
       "2048        80.0   81           59  \n",
       "2049        53.0   53           53  \n",
       "2050        11.0   11           11  \n",
       "\n",
       "[1762 rows x 233 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print_dataset(train_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "f64a9440",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>column name</th>\n",
       "      <th>null count</th>\n",
       "      <th>null count %</th>\n",
       "      <th>values example</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
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      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [column name, null count, null count %, values example]\n",
       "Index: []"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "check_nulls(train_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "456613c0",
   "metadata": {},
   "source": [
    "# list of features with the highest correlation between \n",
    "> Note: The followng features are those with absolute(correlation) > 0.8. Some of them such as `'Year Built', 'Garage Age'` are clear that they are related and so we should avoid using them both togather.\n",
    "# =============================================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "de86a587",
   "metadata": {},
   "outputs": [],
   "source": [
    "corr_matrix = train_df.corr().abs()\n",
    "high_corr_var=np.where(corr_matrix>0.8)\n",
    "high_corr_var=[(corr_matrix.columns[x],corr_matrix.columns[y]) for x,y in zip(*high_corr_var) if x!=y and x<y]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "a285758b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Id', 'Yr Sold'),\n",
       " ('Year Built', 'Garage Yr Blt'),\n",
       " ('Year Built', 'Garage Age'),\n",
       " ('Year Built', 'Age'),\n",
       " ('Year Remod/Add', 'remodel age'),\n",
       " ('Total Bsmt SF', '1st Flr SF'),\n",
       " ('2nd Flr SF', 'House Style_1Story'),\n",
       " ('2nd Flr SF', 'House Style_2Story'),\n",
       " ('Kitchen AbvGr', 'Bldg Type_Duplex'),\n",
       " ('Kitchen AbvGr', 'MS SubClass_90'),\n",
       " ('Fireplaces', 'Fireplace Qu'),\n",
       " ('Garage Yr Blt', 'Garage Age'),\n",
       " ('Garage Yr Blt', 'Age'),\n",
       " ('Garage Cars', 'Garage Area'),\n",
       " ('MS Zoning_FV', 'Neighborhood_Somerst'),\n",
       " ('MS Zoning_RL', 'MS Zoning_RM'),\n",
       " ('Neighborhood_NPkVill', 'Exterior 2nd_Brk Cmn'),\n",
       " ('Bldg Type_2fmCon', 'MS SubClass_190'),\n",
       " ('Bldg Type_Duplex', 'MS SubClass_90'),\n",
       " ('Bldg Type_TwnhsE', 'MS SubClass_120'),\n",
       " ('House Style_1.5Unf', 'MS SubClass_45'),\n",
       " ('House Style_SFoyer', 'MS SubClass_85'),\n",
       " ('House Style_SLvl', 'MS SubClass_80'),\n",
       " ('Roof Style_Gable', 'Roof Style_Hip'),\n",
       " ('Exterior 1st_CBlock', 'Exterior 2nd_CBlock'),\n",
       " ('Exterior 1st_CemntBd', 'Exterior 2nd_CmentBd'),\n",
       " ('Exterior 1st_HdBoard', 'Exterior 2nd_HdBoard'),\n",
       " ('Exterior 1st_MetalSd', 'Exterior 2nd_MetalSd'),\n",
       " ('Exterior 1st_VinylSd', 'Exterior 2nd_VinylSd'),\n",
       " ('Exterior 1st_Wd Sdng', 'Exterior 2nd_Wd Sdng'),\n",
       " ('Mas Vnr Type_BrkFace', 'Mas Vnr Type_None'),\n",
       " ('Garage Type_Attchd', 'Garage Type_Detchd'),\n",
       " ('Garage Age', 'Age')]"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "high_corr_var"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf045f01",
   "metadata": {},
   "source": [
    "# list of features with the highest correlation with the `SalePrice` \n",
    "> Note: The followng features are those with highest positive or negative correlation with the target feature, `SalePrice`. I will utilize some of these features in the modeling.\n",
    "# =============================================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "21eeb193",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Age                  -0.612980\n",
       "remodel age          -0.577544\n",
       "Garage Age           -0.574633\n",
       "Garage Type_Detchd   -0.456092\n",
       "Mas Vnr Type_None    -0.422498\n",
       "Overall Qual_5       -0.395858\n",
       "Lot Shape_Reg        -0.297039\n",
       "MS Zoning_RM         -0.295798\n",
       "Overall Qual_4       -0.276058\n",
       "MS SubClass_30       -0.243235\n",
       "Name: SalePrice, dtype: float64"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# features with the most negative correlation with the target feature: SalePrice\n",
    "train_df.corr()['SalePrice'].sort_values(ascending = True)[0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "e3b3b0e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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m/Yq7zzez9SnZxupUolNqZg0zOtKVPZ6Z+bSetVQyneITZtaAkhHTOWXU6TrCz6BlSTR+qrsvM7NRFOe6DqTkh9zH0f/tgJNjq86jZN7h7IxlFUUenJAH6BR/2L9HyMcty/dlzK+O52dOxnSnCqZrU1WObTbZXu+Z59ezhPSlsnxcxvyaeI1Up3g7f6f8objmA5hZL0L+btpThJ+yp7h7KrqeYEWGL0tlTDeh+AttzwTbyfa8Vvm15e7Pm9lLQD9CimEPQlR712h7RxA+4x7Nsp1MnxI6xM2jdU+kuMMzktDmwwhf3ONfVN8vp1NWHar9fI3q+0X0uNvM+lHyPXKt2P8Hx/4fQ7ig8sfol87rKXvIxrJU13tEeR5x96OrsF5l+yNxmZ/drSvoSCd+fZdHnei6dzth6KP0c3GFmY1x97cyC5rZTsBSd/+A6CKtmGMo+U3+2IzlmeWryyjChTIQRmN43N1LRG2jb7I7Ei5wq0j72P9zgac8XEQCJd9Msimk+Dg2La9gFh8ShqaD8I3/SELKRDrSc2isbD4hB7C27JXxxnA4JaMS6fFtMy8AWerRxVJxUZR4q4z0nPgHRXnH7l2KO9FHUPx8jXT3CWb2J2HM09Ni64zwkhf5jaL4WLcEvnT34VnquQEhF9yBRWb2NcU/O68G3OvuCzLWaQDsSdkduOrwI+HNNf1z7EFmdlUspeOoGtx3RapybCvrJ8IFc+noTFtCzmCJDoyZNSHk41fHe05mBybp67oqRhHG7IXwheg1dy/1ejezLQk5pVDyfQvgGXefHJXrTfGFydlU5rU3J2N6S+C96L31gnK2XSF3r9Jry8xaE4a9+40QCf4sVvY7QqcawpeHCjvRUafwA0JuPcCZ0d/fo1SI9C9d7Sn5fpwklaMuzicAzOxKwnv1G1l+6czsrMWjsfFza7i7j46214Rw0XtSNfkeURdGUtwegMvN7PR4vc2su7uPjyar8voukzrRdczdfzKzcwkXK0B4UQ8zs/cIHbv0zVZ2JOSAHQN84O7fmdlbFHdoDjOz9oS81P6ECxDS3s3I6apONxIuMMkhnJCjzexZQnJ+U8JP+gMJH7zbE66ELU8836w18Eb0xtov2k95JlN8M4qjzWwpoSM+092HVrDuI4Srm9MdhHvMbGuKR+foFSt7s2cf+aGmtAM+N7OnCW+ox8SWLSbkSOPuo83sDYo/hC4xs20JV/gvJnzJ6U/4UPuA8PNzWvxXgn5mdjvhOYSQR7k4+j/+gZV+c5/k7hOi/0cSrhhvFSuX+SH3CHARxRHbN8zsBUKEKz04/zaEY34ZxV8OriNcTQ/htthjo/WmEj4M+hAuKmpJ+Gm5RO5ndXH3QjN7mOIvCr2AT8zsFcLoH4eWuXLNq+qxrVAUUb2R4hFmdiC83l8lfOi3JYw+sB0haljZUQvKk/nr1VVmtjFhDNivvWZuNHMHxaO2NAY+jd7TfiVcLLwOoY1rEF6L3xACBCmKf0W7LUpNa074dbFhOfuLt7GDmQ0l/OLmwGPuPo3SEf/no/f/dSk5SkxVVeW1tQ7hfelbwugSfxKi4xtT3IGGCkZGyvAuxe9fy7+gw/LPyqmETn557y/lmU44d9LPxznR5+YiwoV5L5S55orblvDanBN9IRhLiASvTslOIITUh7SfKB4F5Z9m5tF6B1C1G7DV2HtEHXmE8EUynRN+KrB51Idywrm4NcXnU1Ve32Wr6MpDPWrnQch5WkDFV5EfHVunAyGForzy3wGdMvYVXz64jPp0K2u/ZdS9vHGi049BsXWGxuZPiM1vQ7iBQ7b1HyqvTsD1Zaw3JlZmRGz+iIz1t6Ls8UDTjycpOarFoLLaWNH+Kjgf4tscRXjjz6xLCjguY712VDxOdLa271FO2faxcjmUvsL88djyk7Os3ydL+zYjfOhWVM/BGetdSvlj2aYf3Sr5nJf7/JXz/LSk7DFy36OMNlTifCn3tVmZ+lbl2FJ6dI5uZbTbCDcjqGjbnrHehNiyoRnLyt03oQOZbR93VvK5GlFWvcpZ52+UP45s+hF/P84c8z/9SA97V9Y5uCGlx+pPP/rHyg0vo8yrVT3fVuS1RfhCXlHZ6cRGf6jEcd84yzbiIyU9nWX7mSMxlNvmLNtYfhyr43yt7HlYzuPejPUOKKPcPDLuqVDO/jLPuSq9/5bTtm4Z6w2tzHrRukNj602o5PHLbM9GJBsnOvHru6yHLiysJ9z9QUIe1HmEHLKphI7THMI31v8C/6A4WoC7zyD8rHcKYaib2YQ343xCx+t0YHMPkYyarntfwje8sYS8pqWEk/oj4FrCN9uRZW0jtq18wjf2pwltX0L4EDqWikc8uJjQkZ5AOA5J2/ExIeJyNeHb54JoO1MJ42ru6+6Heu1GoSGcD9sQ8hTnEqLKHwF/j479ch4uytiacLyGEXIHCwjnxFjCm+4xhDfm+HqvE+5y+C2lL5yJl0sRPszj4s/r+xnLprl7qTx2d/+ccKz/Q/j1ZA7Fx/orQkdtLzLG1Xb3ywg/xT1EGBFkcfQYH+37EsJwVBPKakN18HCr5AGEUUimEF6r4wgdkd3LWbXGVfXYVnLb7u7/JIwn+xThtbaU8Fr5hTCu9TlULUJWlv0J73szKJ0bXCPc/TVCRPZawjGbT3gd/UH4knob4Rg8EVvtNMIYxOOjslMI438PJByfsvY1mtDGTynOc85mH8KoBtMI59uPhCH09knWujLrkfS19Qsh5eJpQnrbLMLIRgsIXzBvicpPSlCNbyl9HUd57y/DPeoVJXAC4d4GUwj1rS1HEt6XHyWcU+k7pqY/K58nDL8ZHxcdd3+GkDL5JeF5zyeM374lyUZXim+zxt4j6oK7f0v4Mnoe4Rf8fEJ7ZhFSaG7NKF+V13dWlvz8ExERERFZtSkSLSIiIiKSkDrRIiIiIiIJqRMtIiIiIpKQOtEiIiIiIgmpEy0iIiIikpButiIrIw05IyIiqxqruEj1ea3BurX2Wfu3gp9qtW2VpUi0iIiIiEhCikSLiIiISCLWoF4Gh2uVItEiIiIiIgkpEi0iIiIiieTkKRKtSLSIiIiISELqRIuIiIiIJKR0DhERERFJxBooDqsjICIiIiKSkCLRIiIiIpKILixUJFpEREREJDFFokVEREQkEd1sRZFoEREREZHE1IkWERERkURy8qzWHhUxs93M7CczG2dm52dZ3srMXjGzb81srJkdUy3HoDo2IiIiIiJS28wsF7gL2B1YHzjEzNbPKPYv4Ht33wgYBNxkZg1XdN/KiRYRERGRROpRTvTmwDh3/w3AzJ4C9ga+j5VxoIWZGdAcmA0UruiOFYkWERERkXrLzE4wsy9ijxNii7sAk2LTk6N5cXcCvYEpwGjgdHdPrWi9FIkWERERkURqc5xodx8CDCljcbaKeMb0rsA3wA5AD+BtM/vA3eetSL0UiRYRERGRv6rJwBqx6a6EiHPcMcDzHowDxgPrreiOFYkWERERkUQst97kRH8O9DSz7sAfwMHAoRllJgI7Ah+YWSdgXeC3Fd2xOtEiIiIi8pfk7oVmdgowDMgFHnL3sWZ2YrT8XuAKYKiZjSakf5zn7jNXdN/mnpk2IvKXp5NaRERWNbUaGh610aa19lm77bdf1Zuwd5xyokVEREREElInWkREREQkIeVEi4iIiEgillMvMyxqlSLRIiIiIiIJKRItIiIiIolYruKwOgIiIiIiIgmpE12Pmdk+ZjbSzKab2WIz+93MXjSz3aqwrcFmVqXhaMzMY49CMxtvZg+bWdcE6w+uyr5FRESk/snJtVp71FfqRNdTZnYa8ALwC3Ac8DfgymjxDnVQpaHAVsAg4CZgL+BdM2tSiXW3Ah6osZqJiIiI1DLlRNdf5wAvuvtxsXnvAfebWV18+fnD3T+J/h9lZvMJHevdgeezrWBmjdx9aWw9ERERWQlodA5FouuztsDUbAvcPZX+38w6mNl9ZvazmS0ys0lm9qSZdaloB2aWZ2YXmNmPZrbUzKaY2U1m1rgS9fs8+rtOtK0RZjbKzPY0s6/NbClwcrSsVDqHmW1kZi+Y2awoVeUnM7sgo8x+ZvZJ1K45ZvaMma1ZibqJiIiI1ChFouuvz4CjzOw34CV3/7mMcm2BJcAFwAygM3A28KGZrefuS8rZx+PAnsB1wEdAb8L95bsB+1dQv+7R3zmxeb2A26Nt/AbMzraimW0OjADGAWcCk4GeQN9YmROBe4CHgcuBFsBg4H0z6+vu8yuon4iIiNSQ+pyrXFvUia6/TgSeBa4HrjezWcDbwMPu/la6kLv/BJyenjazXOBDYCIh1eKFbBs3swHAQcBR7v5oNPsdM5sNPG5mG7v7NyVXsTzCObMxcCOwCHg1VqY9sEvGetncCMwCtnT3RdG892I7ak7o2D/s7sfG5n8K/EzIEb+1gn2IiIiI1Bilc9RTUeR5E2AgcBXwDbAvMMzM/hMva2Ynmdm3ZrYAKCR0oAHWLWcXuwHLgOeitI68qJOc7qBvl1H+QqAAWAx8HP2/h7tPiZWZUFEH2syaAtsAT8Q60Jm2AloCT2TUbTLwY5a6YWYnmNkXZvbFkCFDyquCiIiIrCDLtVp71FeKRNdj7l4EjIwemFln4E3gUjO7y93zzexUQgrFzcC5QD7hy9EnQHm5zR2BhsCCMpa3y5h+iJBeUQhMcvdZWdb5sxLNahPVb3IFdQN4p4zl+Zkz3H0IkO49V2koPxEREZHKUif6L8Tdp5jZA8BthBziz4CDgXfd/ex0OTPrXsYm4mYRcqkHlLF8Ssb0n+7+RUVVrMR+84EUUN6Fj+kO+tHA2CzLlQ8tIiJShyxHyQzqRNdTZraGu0/Ksmi96G965I6mwLyMMsdUYhdvAucBrdz93arVMjl3X2Rmo4DDzexyd1+cpdhHhI7yOu7+SG3VTURERKSy1Imuv8aY2XDChYHjCTnCexAuOHza3dN5z28C55nZhYTI9A7APyrauLuPMLP/As+a2c3RuinCyBx7AOeVMyLIijoHeB/42MxuIqR2rA1s7O6nuvs8MzsXuMvMOgBvAHMJ0euBwAh3f7KG6iYiIiIV0DjR6kTXZ+cROrOXA52AIsLIFOdTcmSKy4HWhKHiGhM6p7sShpiryOHAqcCxwEXAUmACMAyYtsItKIO7f25m2xDqfgfQCPidMJxdusx9ZjaJkOd9KNAA+IOQH/5NTdVNREREpDLMXddgyUpHJ7WIiKxqajU0/M0uA2rts3bjtz6ol2FvZYWLiIiIiCSkTrSIiIiISELKiRYRERGRRHRhoSLRIiIiIiKJKRItIiIiIonoZiuKRIuIiIiIJKZItIiIiIgkopxoRaJFRERERBJTJFpEREREEsnJVSRakWgRERERkYQUiRYRERGRRJQTrUi0iIiIiEhiikSLiIiISCIaJ1qRaBERERGRxBSJFhEREZFElBOtSLSIiIiISGKKRIuIiIhIIopEKxItIiIiIpKYOtEiIiIiIgkpnUNEREREElE6hyLRIiIiIiKJKRItIiIiIonoZiuKRIuIiIiIJKZItIiIiIgkkpOrnGhFokVEREREElIkWkREREQS0egc6kTLSmjbPd+v6yrUqFGvDKzrKoiIiKzy1IkWERERkUQ0OodyokVEREREElMkWkREREQSUU60ItEiIiIiIokpEi0iIiIiiSgSrUi0iIiIiEhiikSLiIiISCIanUORaBERERGRxNSJFhERERFJSOkcIiIiIpKILixUJFpEREREJDFFokVEREQkEV1YqEi0iIiIiEhiikSLiIiISDKmnGhFokVEREREElIkWkREREQS0egcikSLiIiIiCSmSLSIiIiIJKLRORSJFhERERFJTJFoEREREUlEOdGKRIuIiIjIX5iZ7WZmP5nZODM7v4wyg8zsGzMba2bvV8d+FYkWERERkUTqS060meUCdwE7A5OBz83sZXf/PlamNXA3sJu7TzSzjtWx7/pxBEREREREktscGOfuv7n7MuApYO+MMocCz7v7RAB3n14dO1YnWkREREQSsRyrvYfZCWb2RexxQqwqXYBJsenJ0by4XkAbMxthZl+a2ZHVcQyUziEiIiIi9Za7DwGGlLE42xWOnjGdB/QDdgSaAB+b2Sfu/vOK1EudaBERERH5q5oMrBGb7gpMyVJmprsvBBaa2UhgI2CFOtFK5xARERGRRGoznaMCnwM9zay7mTUEDgZezijzEjDAzPLMrCmwBfDDih4DRaJFRERE5C/J3QvN7BRgGJALPOTuY83sxGj5ve7+g5m9CXwHpIAH3H3Miu5bnWipNmb2AHAccIu7n1XX9REREZEaUk+GuANw99eB1zPm3ZsxfQNwQ3XuV51oqRZm1gQ4IJo8zMz+7e6FdVmn6nL6CT3Yql87liwt4urbfuLnXxdkLXfCEd3YfpsOFKWcF9/4k2df+YM1uzbhwtPXo1eP5tz/2Hj++8LkWq69iIiI1AR1oqW67Au0JHwT3APYDXi1TmtUDbbs15Y1Ojfl4P/7jD7rtuCck3pywjlflyq3x46d6Ni+EYee9Dnu0LpVAwDmzS/k1iHj2G7LdrVddRERkRpjptt+159YvPzVHQXkA0cDi4FSYzCa2SFm9qOZLTGz0Wa2VzRm44iMcu3N7B4z+8PMlkbrnJC5vdowYMt2vPneVADG/jSf5s3yaNemYaly++zRmYef+h2PBtWZM7dg+d8ff5lPYWHmaDsiIiLyV6ZItKwwM+sM7AQMcfcZZvYisJ+ZtXH3/KjMzsAThCtmzwbaA7cCjYkNMWNmLYEPCeM4DgbGA7sC95hZI3e/o5aaBUD7do2YPnPp8unps5bSvl1DZuUvK1Guy2pN2HFAR7bbsj1z5hVw633jmPzn4tqsqoiISK2pL7f9rks6AlIdjiCcS49G048AjYCDYmUuA74H9nX319z9EeAfwOoZ2zodWAvY0d3vd/d33P1c4CHgUjOr1S9+WX+syhJUbtAgh2XLUhx/1le8POxPLjh93ZqumoiIiNQhdaKlOhwJ/OLuH0fT7xAGOj8SwMxygf7Ac+6+vAvq7l8RIs1xuwGfAuOj8Rzzoo7zMKAdsH62CsRvCTr191dWqDH77dGZh2/rx8O39WPm7GV0bN9o+bKO7Roxc/ayUuvMmLWUER/NAGDkxzPp0a3ZCtVBRESkPqtH40TXGaVzyAoxs80IHdvrzKx1bNHzwClm1guYCzQApmfZxLSM6Y7AOkBBGbvMeoVe/Jag2+75/golID//+hSefz3c7Gir/m3Z/+9deGfkDPqs24IFiwpLpXIAfPDJTPr1bcNr70xlkw1aMWnKohWpgoiIiNRz6kTLijoq+nte9Mh0JHApoVPcMcvyTsDE2PQsQmf79DL291PVqlk1H38xm636t+V/QzZfPsRd2g2XbsC1d/zMrNnLePzZiVxydm8O3LsLi5ekuO72kObdtnUDHrilH82a5pJKwQF7deXwkz9n0eKi2myGiIhI9VJONBb7dV0kkej2mlOAccD5WYrcArQFuhEuFmwJbJhO6TCzfsAXwPvuPiiaNxg4Fejt7tki1xVa0Uh0fTfqlYF1XQUREal/ajXvYdblJ9TaZ227S4bUy5wORaJlRfydkF5xtruPyFxoZvcB9wCDCNHot4AXzGwIYXSOwcBUwi04024hXJD4gZndQog8NwPWAwa4+9411BYRERGppPqcq1xbFIuXFXEUMB94pozl/yWMGX2Uu78NHAb0Bl4gpH6cTehEz02v4O5zga0JN205j3BB4UPA3sDwGmmFiIiISEKKREuVVRQVjjrETWPTTwJPpqfNrCuhU/18xnr5wJnRQ0REROoZM8Vh1YmWWmFmTYCbCcPfzQTWBv4NLAIeqMOqiYiIiCSmTrTUliJgNeBOQh71QuAD4AB3/7MuKyYiIiKSlDrRUivcfRmwb13XQ0RERKqBLizUhYUiIiIiIkkpEi0iIiIiiZhutqJItIiIiIhIUopEi4iIiEgiutmKItEiIiIiIokpEi0iIiIiyehmK4pEi4iIiIgkpUi0iIiIiCSinGhFokVEREREElMkWkRERESS0TjRikSLiIiIiCSlSLSIiIiIJGKmnGhFokVEREREElIkWkRERESSUU60ItEiIiIiIkmpEy0iIiIikpDSOUREREQkEd1sRZFoEREREZHEFIkWERERkWRMcVgdARERERGRhBSJFhEREZFklBOtSLSIiIiISFKKRIuIiIhIIqacaHWiZeXTqFmTuq5CjZpw/N51XYUa1e2Bl+q6CiIiIhVSJ1pEREREklFOtHKiRURERESSUiRaRERERBKxHMVhdQRERERERBJSJFpEREREkjHlRCsSLSIiIiKSkCLRIiIiIpKMcqIViRYRERERSUqdaBERERGRhJTOISIiIiLJ6MJCRaJFRERERJJSJFpEREREEtHNVhSJFhERERFJTJFoEREREUnGFIfVERARERERSUiRaBERERFJJkejcygSLSIiIiKSkCLRIiIiIpKIKSdakWgRERERkaQUiRYRERGRZJQTrUi0iIiIiEhSikSLiIiISDLKiVYkWkREREQkKUWiRURERCQZU060ItEiIiIiIgmpEy0iIiIikpA60SIiIiKSTE5O7T0qYGa7mdlPZjbOzM4vp9xmZlZkZv+olkNQHRsREREREaltZpYL3AXsDqwPHGJm65dR7jpgWHXtW53oVYCZdTMzN7Ojq7DuCDMbUf21EhERkb8sy6m9R/k2B8a5+2/uvgx4Ctg7S7lTgeeA6dV1CDQ6h0gF/nXUmmyxSWuWLk1x/T2/8cuERaXK/Puk7vTt3ZKFiwoBuP6e8fz6+yKaNcnlglPWpmP7RuTmwNOvTmXY+zNruwlZNemzCW0P+Sfk5LDgg7eZ+8Zzpco0XncD2h50HOTmkVowj6k3XARA12uHkFqyGFIpPJXizyvPru3qi4iIAHQBJsWmJwNbxAuYWRdgX2AHYLPq2rE60SvAzBq5+9K6rofUnM03bkXX1Rtz5Bnf0XudZpx+fDdO+c/3WcsOeWIiIz/NLzFv71078vsfi/nPDb/QqkUeQ2/py7ujZlFY5LVR/bJZDm0P+z+m3Xwphfmz6PyfG1n0zWcU/Fn8PpTTpBltDzuRabcOpmj2THJatCqxiak3/ofUgvm1XXMREakPavG232Z2AnBCbNYQdx+SXpxllcwP2VuB89y9yKpxaD6lc1SSmQ2OUiI2MLNhZrYAeDpa1tTMrjOz8Wa2LPp7kVnxbxBmNihafx8zu8/MZptZvpndYma5UbL7KDNbaGZjzWzXLHU43My+NbMlZjbTzB4zs9UzyjQ1s7vNbJaZLTCzl4GuZbRpoJm9a2bzo/0OM7MNqnh8LjOzr8xsblS398xsyyzlNjWzD6I2TDKzC6N1PaNcnpldYGY/mtlSM5tiZjeZWeOq1K+qtunfhrdGhsjxD+MW0rxpLm1bN6j0+u7QpHEuAE0a5zB/QSFFqTruQAONuvekcPpUCmdOg6JCFn72AU033rxEmWZbbMeirz6maHZof2r+3LqoqoiIrOLcfYi79489hsQWTwbWiE13BaZkbKI/8JSZTQD+AdxtZvusaL0UiU7uJeBBQnJ6yszyCEnq6wNXAKOBLYGLgbZA5u/ctwLPAwcB2wH/ITwPOwE3AH9E8543s7XcfSYs/xZ2H/A/4AKgM3A1sIWZberuC6Lt3xdt+zLgc2Bn4MnMRpjZ36K2vAYcHs0+D/jAzPq6+6TMdSrQBbiFcDI3i7Y50sz6u/t30T7bA+8STu4jgWXAmUC3LNt7HNiTcJw/AnoTjm83YP+Edauy9m0bMmPWsuXTM2Yvo33bhsyeU1Cq7LEHdeWI/brw1dh5PPDkJAoKnReHTePKc3vx9D0b07RJLlfcNg6v+z40uW3aUZhfnFZSmD+LRmv3KlGmQafOkJvHaudeiTVuwrx3XmXhx8OB8OWg05mXAc7894exYORbtVl9ERGpa/Xntt+fAz3NrDuhD3UwcGi8gLt3T/9vZkOBV939xRXdsTrRyd3u7relJ8zsCGBbYKC7j4xmvxv9XHCpmV3n7vEk9vfc/azo/7ejzuwpwAB3HxVt80/gW+BvwCPRFaVXACPc/eDYvn8EPgCOBW43s3UJJ85F7n5tVOwtM2sOnJjRjtuA991979j2hgO/ETr+ZyQ5KO5+fGw7ucCbwFjgOOD0aNFZhA72ru4+OSo7DJgQ35aZDSB8ETjK3R+NZr9jZrOBx81sY3f/Jkn9qpNn6QU/8N/JzJ5TQIM846x/dufgvVbnseensNlGrRj3+yLOvuJHOndqxPUXrcfoH0ezaHGqDmpegcx25ebSaK0eTL3pYqxhQ1a/4HqW/vYThdOmMPXa8ymaO5ucFq1Y7azLKPhzMkt/yZ7mIiIiUlPcvdDMTiEENHOBh9x9rJmdGC2/t6b2XW++RvyFvJAxvRvwO/BRlIKQF0Wn3wIaEKLScW9kTP8ILEx3oGPzoPjniXWBjsAT8RWjdX4HBkaztiA8p09n7OOp+ISZ9QR6AE9k1HkR8DEhQp6Ime1kZsPNbBZQCBQAvaK6p20JfJzuQEdtWEyIhsftRohSP5flmJKtfmZ2gpl9YWZf/PFr5lOUzN67dOS+a/tw37V9mJW/jA7tGi5f1qFtQ2bll45CpyPTBYXOm+/PYL11mgOw68AOjPpsNgBTpi1l6vSlrNG5yQrVrzoU5c8ir0375dN5bdpRNGd2qTKLx36FL1tKasF8lvw8loZdu4Vlc0PZ1Py5LPr6Exp1LxnFFhGRlZxZ7T0q4O6vu3svd+/h7ldF8+7N1oF296Pd/dnqOATqRCf3Z8Z0R2AtQqcx/vgsWt4uo3x+xvQyYE58RjREC0A6/7dtGfsGmBpbns6PnpZRJnO6Y/T3wSz1/nuWOpfLzDYFXgcWECLPWxKufv021oZ0/bINLZOtfg2j7cXrll63VP3i+VJdeuybpPqlvPTWdP7v/LH83/lj+fCLfHbZLnQ2e6/TjIWLirKmcsTzpLfp34bxk8IIHtNnLWWTDcIFeW1a5bFG58b8Ob3ur0VdOuEX8jqtTl77jpCbR7PNB7Do289KlFn0zac06rk+5ORgDRvSaO1eFPw5GWvYCGsUvghYw0Y0Xn8TCv74vS6aISIiUmeUzpFc5m/5s4DxwIFllJ9QDftMhwhXy7JsNeCL6P90J7sTIS2D2HTcrOjvBcA7Wba5LMu88uxPiD7v5+7Le5hm1oaSXxD+pLgDH5etfkuAAWXsL/OCgRrz6ddz2WLj1jx2W1+WLE1xw73jly+7+rxe3DRkPLPyC7jwlB60apmHGfw6YRG3PDABgMefn8K/T1qb+6/fADO4/8lJzJtfWFvVL1sqxewnh9DpjMFhiLsP36VgyiRaDNwNgPnvv0nBn5NZPOZrOg++HTzFgg/epmDKRPLad6Ljvy4I28nJZeFnI1k89uu6a4uIiNS+StxJcGWnTvSKe5PQiVzg7j9WVLiKfiJEaw8mRI8BMLOtCVHwm6JZnwIpQof+2tj6B1PST4TOfZ9Y7vSKaAoUEfuCYWY7AGsSvmCkfQKcY2ZdYznRTQi533FvEi5ybOXu71ZD/VbI7Q9nj7JeeN3Py/8/58rsT/2s/ALOu/qnGqnXilo8+kv+GP1liXnz33+zxPS8YS8wb1jJ9JjCmdOYctkZNV09ERGRek2d6BX3BHAM4WLCmwgpDA0JOcd7Afu4e+m7cyQQjWt4CXCfmT1OGLmiC3AV8AvwcFTuJzN7Erg8Gl4vPTrHHhnbczP7F/CSmTUk5FDPJESEtwYmuvvNCar4JuFCxKFm9jAhF/piwlWycTcDJwHDzOwyYCnhYsOlxDrg7j7CzP4LPGtmNxNSY1KEkTn2IIz1+DMiIiJSN6pxvOW/KnWiV5C7F0RjOp9PGAi8O7AQ+JVwwVzS1Iiy9jPEzBYB5xKGpltAyEP+d2x4O4D/i5adQ+jMv0cYsWNUxvZeN7PtgIuAB4AmhPzqTwjD6CWp2zAzO43QId4fGEMYwu4/GeVmmtmOwO3Ao4S0jXuB9lH5uMMJt+g8NqrjUkL0fBilc6hFREREapVlG65LpLZEw+F9Bcx09x2rY5s7HvzZSn1SP9j8qrquQo3q9sBLdV0FEZG/oloNDS95fUitfdY23uOEehn2ViRaapWZXQGMIwzN1w44HuhLRsqJiIiISH2mTrTUNgcuIdxx0YHvCHnjmeNni4iIiNRb6kRLrXL3SwidaBEREfmr0hB3utmKiIiIiEhSikSLiIiISDIa4k6RaBERERGRpBSJFhEREZFkTHFYHQERERERkYQUiRYRERGRZJQTrUi0iIiIiEhSikSLiIiISDIaJ1qRaBERERGRpBSJFhEREZFEXDnRikSLiIiIiCSlSLSIiIiIJKNxohWJFhERERFJSpFoEREREUlGkWhFokVEREREklInWkREREQkIaVziIiIiEgiGuJOkWgRERERkcQUiRYRERGRZHRhoSLRIiIiIiJJKRItIiIiIskoJ1qRaBERERGRpBSJFhEREZFkchSHVSda5C9m7CM/1nUVakyvA3vwy2F71HU1alTPJ16v6yqIiEg1UCdaRERERBLRONHKiRYRERERSUyRaBERERFJRuNEKxItIiIiIpKUItEiIiIikogrEq1ItIiIiIhIUopEi4iIiEgyGp1DkWgRERERkaQUiRYRERGRRJQTrUi0iIiIiEhi6kSLiIiIiCSkdA4RERERSUYXFioSLSIiIiKSlCLRIiIiIpKMLixUJFpEREREJClFokVEREQkEVdOtCLRIiIiIiJJKRItIiIiIskoJ1qRaBERERGRpBSJFhEREZFEHOVEKxItIiIiIpKQItEiIiIikogrJ1qRaBERERGRpBSJFhEREZFkFIlWJFpEREREJClFokVEREQkEd2xUJFoEREREZHE1IkWEREREUlInehqYmZbmdlTZjbZzJaZ2Twz+9zMrjCz1eu6frXBzP5jZm5mz9d1XURERKTmuOXU2qO+Uk50NTCzs4EbgOHAf4DfgObA1sAJQH9g9zqrYO05Mvr7NzNr5+6z6rQ21eRfR63JFpu0ZunSFNff8xu/TFhUqsy/T+pO394tWbioEIDr7xnPr78v4sC/r8aO27YDIDfXWLNLE/b/51fMX1hUq23IpsMuA1j/5ouw3BwmPfQMv95wf4nleS2bs/EjN9Bkzc5Ybi6/3fIQkx8J34+2/+VdChcsxItSeGERH265f100oVxN+/ajwxH/Bzk5zBsxjPxXnilVpknvDelwxAmQm0fR/Hn8ceV5ALTebR9abr8ruLNs0gSmDbkFLyio7SaIiEg9pk70CjKz7Qkd6Nvc/cyMxa+b2TXAAdW0r0buvrQ6tlXdzGxroCfwOrAHcAhwZ51WqhpsvnEruq7emCPP+I7e6zTj9OO7ccp/vs9adsgTExn5aX6JeU+/OpWnX50KwFabtmb/PVarFx1ocnLoc/slfLr7MSyZPI1tP3mWaa++x4Iffl1eZK2TDmPBD7/yxb4n0bB9GwaOfZM/nnxleWfyk52OomBWfll7qFuWQ4ejT+aPay6icPZM1rziVhZ+9QnL/pi0vEhO02Z0OOZfTLnuYgpnzSC3ZSsActu0o/Wue/H7v0/EC5ax2qkX0Hyrgcwf+U5dtUZEpP7RhYVK56gG5wEzo7+luPtCdx8an2dml5nZV2Y218xmmtl7ZrZlRplBUWrEfmZ2v5nNAKZFy9Yxs8fMbLyZLTaz38zsHjNrk7l/MzvdzCaY2RIz+8zMto6mM+vU3cyeMLMZZrbUzL4xs30THIejgCLgn8AkiqPSmfXZycy+juozzsyON7OhZjYho1xTM7suauOy6O9FZrX7u842/dvw1siZAPwwbiHNm+bStnWDKm1r+23a8d5H9SM433rzviz69XcWj5+MFxQw5X+v0WnPHUsWcievRTMAcps3o2D2XLywsA5qm1zjHr0omDaFwhlToaiQ+Z+MpFm/rUqUabH1IBZ+/hGFs2YAUDRvbvHC3FysYUPIySGnUSOK8uvH8yYiIvWHItErwMzygIHA8+6+LMGqXYBbgMlAM+BwYKSZ9Xf37zLK3gG8ARwBNI7mdY7WPQPIB9YGLiREgZf3FMzseOBW4EHgGaAH8CTQOqMdawCfAtOBM4EZwEHAc2a2j7u/XF5jzKwxcCDwtrtPMbPHgQvMrLe7/xArtz7wGvAZcDDQELgYaAWkYuXygGHA+sAVwGhgy6hsW+Ds8upTndq3bciMWcVP7YzZy2jftiGz55T+af/Yg7pyxH5d+GrsPB54chIFhb58WaOGOWy2USvueGhCbVS7Qo07d2Lx5KnLp5f8MY3Wm/ctUWbC3U+w2Qv3sOPED8hr0YyvDz0TPGqTwxZvPAju/H7//5j0wNO1Wf0K5bVtR+GsmcunC2fPpHGPdUuUabBaFywvjy4XXUtOkybMefMl5o96j6L8Wcx57Xm63/4IqWXLWDT6KxaN/rq2myAiUq/V51zl2qJO9IppR+jYTsxcEHUEl3P3wtj/x8fK5QJvAmOB44DTMzb1Wbx8tP5IYGRsGx8B44APzGwTd/86itheCryRsb+pwHMZ+xgMGDAwlsc8LOpcXw6U24kG9iZ0zB+Nph8BLiBEp8+PlfsPMA/Y1d0XRfX5ABgPTI2VOwTYNqpPup3vWvjp6FIzu87dp8crYGYnEPLPWbf/+XTpkSSInoy7l5r3wH8nM3tOAQ3yjLP+2Z2D91qdx56fsnz5Vv1aM/an+fUjlQOy/wyX0a4Ou2zL3G9/4JOdj6RpjzXZ4o2HmT1qLwrnL+SjgYew9M/pNOzQli3efJiFP/7G7FFf1FLlK6Pi9lluLo26r8MfV1+ANWjEGpfdxJJxP1E0by7N+m3JhDOOoWjRQlY/7UJabLM98z8cXkt1FxGRJMxsN+A2IBd4wN2vzVh+GMUZAwuAk9z92xXdr75GrJisCUFmthpQEH/EO9VRSsNwM5sFFEZlegHrZtncC1m239DMLjSzH81scbT+B9Hi9Da6Ro/Mq6leivYZtxshij3XzPLSD0I0eCMza5m9+csdRegcvwjg7j8RItuHZ6RfbAm8nu5AR2X/BD7KUp/fgY8y6vMW0CDaTgnuPsTd+7t7/xXtQO+9S0fuu7YP913bh1n5y+jQruHyZR3aNmRWfukodDoyXVDovPn+DNZbp3mJ5dtv1Zb3Ppq9QvWqTkv+mEqTrqstn27cpRNLppT4XsIaR+3H1BfeAmDRrxNZNGEyzdZbG4Clf4ayy2bMZuqLb9N6s5JR7LpWOHsmee3aL5/Oa9uewjmzS5VZ9O2X+NKlpBbMY/GPY2i0ZneabrAxBTOmUjR/HhQVseDzD2ncs3dtN0FEpF5zrNYe5YmCkXcRBnBYHzgk+uU7bjwhMNeX8Av3kOo4BupEr5iZwBJgzSzzN4seJYY8MLNNCR3WBYTI85ZRuW8pTteI+zPLvGsI0ePHgb8BmwP7RcvS20gPq1eiZ+TuRVH94joScpgLMh43RMvbZalDuj2rAbsQ0jQamVlrM2tNiHZ3AeKJtqtn1icyLUt91spSn88qqk91eOmt6fzf+WP5v/PH8uEX+eyyXeiM9V6nGQsXFWVN5YjnSW/Tvw3jJxWP4NGsSS5912/JR1/Un4vw5n4+mmbrdKNJt65YgwZ0PuhvTHv1vRJlFk/6k/Y7hOyghh3b0bxXdxb9Npncpk3IbR7lSjdtQoedt2H+2F9qvQ3lWfLbzzRcrTN5HTpBbh4tttyOhV9+UqLMgi8/ocm6fSAnB2vYiMY91mXZlEkUzJpB43XWwxo2AqBpn41ZNmVStt2IiEjd2xwY5+6/Ram1TxF+IV/O3T9y9/SH8CeEIOMKUzrHCnD3QjMbCexsZg3TedFR6sYXAGb294zV9idEgvdz9+W9seiiwDnZdpNl3sHAo+5+ZWz95hll0p3vjvGZ0Te29hllZxEi2ddl2RfAlDLmQ8jnziWkYBySZflRwNuxOnXMUqZTlvqMJ+RZZzOhnPpUq0+/nssWG7fmsdv6smRpihvuHb982dXn9eKmIeOZlV/Ahaf0oFXLPMzg1wmLuOWB4ipuu3kbvvxuLkuWprLsoW54URFjTr+czV97AMvNZfLQ51jw/TjWPOFgACYOeYpfrrqbjR68hgFfv4xh/HjhjRTMyqdJ9670f/YuIKRETHnqVWa89UF5u6t9qRTTh95Dl/OuDEPcvf8Wy/6YSKsd9wBg7ruvUzBlEgu/+5I1r70bUinmjRjGssm/A7Dgs1GsedXteFERS3//jXnvvVGXrRERqXdqMyc6nrIZGeLu6WhyF8KABmmTgS3K2dxxhGvNVrxe2fI7pfLMbEdCJzHbEHeY2WBCbnKDqNN9C3A80CadJ21mOwDvAu+7+6Bo3iDCuNM7u/s7GdvMB55y95Ni8x4lXHx4jLsPjdIofgdGu/sesXL7A88Cj7j70dG8oYQLEjd298UJ2/8d0BI4Osvi84DtgNXcfb6ZPQnsDKwVy4lendAp/tPdu0XzjiZE8Dd09x+T1Adgx4M/W6lP6rOeO6Kuq1Bjeh3Yo66rUON6PvF6XVdBRFZOtTrm3Iyxn9baZ22HPluU2TYzO4BwrdXx0fQRwObufmqWstsDdwPbVse9LBSJXkHu/q6ZnQ9ca2Z9CRfXjSekVfQiRI0XUhxRfpMwqsZQM3s4KnMx8EeC3b4JHGVmowkXFO5HuLFLvF4pM7sMuN/MHiDkRq9NuNBvLrHRMIBLCKkSI83sTkKntg2wAbC2ux+brRJRasqGwGB3H5FleWNCfvM/gIeBK6P/h5nZjUCjqO3TMurzBHAM4WLCmwipLg0Jo4vsBewTz6sWERGRWlZ/xomeDKwRm+5Kll/Qoz7aA8Du1XUzOOVEVwN3vx4YQEhDuBp4hxDtPQr4H9AzykXG3YcBpwHbAK8CxxLykccl2OWphBEzroq234IsqRTu/gBhyLqdCRcUHgccRujQz42Vm0i4q+K3Uf3fBu4hDN9XMlG2pKOibQ0tY/lbhJ9Yjor28z0hh7sF8DRwLeGGLF9m1KcA2JUQjT6BkEP+RLSdj4AkwwmKiIjIyutzoGd0v4uGhOBliVHFzGxN4HngCHf/ubp2rHSOVYyZbUaIOh/p7o/Vg/o0J3yBeM3dj6uObSqd469L6RwiIlVWq6Hh6d9/UWuftR3X719u28xsD8J9MXKBh9z9KjM7EcDd741+kd+fkOYKUOju/Ve0XkrnWImZWXfgX4SLBucBvQk3ZRlP6bGia6tOdxCiyVMIN405nZA6cltd1EdERET+2tz9dcKv1vF598b+P55wPVq1Uid65baYkNd8JKGjmk9INTm/DnOKGxNGAelESMv4DNgpy50aRUREpJ7y+pMTXWfUiV6JuftUwoV99Ya7/7Ou6yAiIiKyonRhoYiIiIhIQopEi4iIiEgitXmzlfpKR0BEREREJCFFokVEREQkEa/dEfXqJUWiRUREREQSUiRaRERERBJRTrQi0SIiIiIiiSkSLSIiIiKJ6GYrikSLiIiIiCSmSLSIiIiIJKLRORSJFhERERFJTJFoEREREUlEo3MoEi0iIiIikpgi0SIiIiKSiHKiFYkWEREREUlMkWgRERERSUQ50YpEi4iIiIgkpk60iIiIiEhCSucQERERkUR0YaEi0SIiIiIiiSkSLSIiIiKJ6MJCRaJFRERERBJTJFpEREREElFOtDrRshJavUfXuq5Cjdrigm3rugo1pvmAAXVdhZo1L58lz91S17WoUY33P7OuqyAiUivUiRYRERGRRNwUiVZOtIiIiIhIQopEi4iIiEgi7opEKxItIiIiIpKQItEiIiIikogrDqsjICIiIiKSlCLRIiIiIpKIxolWJFpEREREJDFFokVEREQkEUWiFYkWEREREUlMnWgRERERkYSUziEiIiIiiSidQ5FoEREREZHEFIkWERERkUQUiVYkWkREREQkMUWiRURERCQRd0WiFYkWEREREUlIkWgRERERSUQ50YpEi4iIiIgkpki0iIiIiCSiSLQi0SIiIiIiiSkSLSIiIiKJKBKtSLSIiIiISGKKRIuIiIhIIhonWpFoEREREZHEFIkWERERkURSyolWJFpEREREJCl1okVEREREEqp0J9rMtjKzp8xsspktM7N5Zva5mV1hZqvXZCXriplNMDOv6FHX9cxkZt0y6rjUzKaa2btmdoaZtajidlub2WAz27SK67uZXVmVdWPrD67q+iIiIlI9HKu1R31VqZxoMzsbuAEYDvwH+A1oDmwNnAD0B3avoTrWpX2BRrHpu4Fc4P/qpjqJXQO8THieOwLbAZcDp5vZru7+c8LttQYuBSYDX1VjPeu1I/7Wko3XbczSAmfIc3OYMKWgzLJH/r0l223alOMvn7p8Xu/uDTn8b63IzYH5i1Jc9cCs2qh2hRqsswHN9jgEM2PJVx+w+IM3Si7vti4tDj2FVP5MAJb+8BWLR7xCbrtOtDjwxOXlctp0YNHwF1ny8Tu1Wv+KfPj9r1z37DukUin23XpjjttlqxLLh3/3M3e9OpIcM3Jzcjj3HzuxaY81ANj9krtp2qghuTlh2X/PO6YumlCuD3+eyHWvfkgq5ey7WW+OG7hJ1nJjJk/niHte4PqDd2LnDXsAcMlzwxn54++0bdaE5884qDarLSKy0qiwE21m2xM60Le5+5kZi183s2uAA6qjMmbWyN2XVse2qoO7fx2fNrN5QJ67f1JHVUrqt4y6Pm9mdwEfA8+Y2cbuXu8i6fXJRr0asVr7PM6+eTo91mjA0Xu1YvC9M7OW7d6lAU0bl/xxp2lj4+i9WnH90NnMmltEy2b1JIPKjOZ/P4y5j9xEal4+rf/vYpb9+A1FM/4sUazw91+Y98TtJeYVzZrGnHsuW76dtufcxLLvS7xU6lxRKsXVT7/FfaccTKfWLTn0hqEM2rAnPVZvv7zMFut2Y9CGPTEzfv5jOuc+9AIvXVz8/fiB0w+lTfOmdVH9ChWlUlz98ijuO/bvdGrZjEPvfp5B661Fj05tS5W79c1P2Lpn1xLz9950XQ7ZcgMueua92qy2iKxENMRd5dI5zgNmRn9LcfeF7j40Ps/MLjOzr8xsrpnNNLP3zGzLjDKDop/n9zOz+81sBjAtWraOmT1mZuPNbLGZ/WZm95hZm8z9m9npUdrFEjP7zMy2jqYz69TdzJ4wsxlResM3ZrZvJdpfJjMbbWYvZJmfbtuu0fTgaHpDMxtuZovM7E8zu9zMcjLWbR+19Y+onj+a2QkrUs84d/8FuALoC+yQse9/mtm30bGcaWYPmlnbaFk3YHxU9P5YqsjRsfX3NbMPzWxBlO7zmZntleX4nBY9t/PN7H0z65OxPNfMroyO0SIzG5FZprb0692YUV8vBuDXSQU0a5xD6xalXzZmcMhuLXlq2LwS87feqAmfj13CrLlFAMxbmKr5SldCXte1KZo9PUSZi4pYOvozGq6XPZJZngZrr09R/nRSc+tHdD1tzIQprNG+DV3bt6FBXi67bdqbEd+V/OGlaaOGmIUPgcVLl2H1+CfDTGMmT2eNdi3p2rZlaF/fHoz4YUKpcv/9eAw79Vmbts2blJjfr3tnWjZtVKq8iIhUXrmdaDPLAwYCb7v7sgTb7QLcAuwDHA1MB0aaWd8sZe8ADDgiKgvQmZAycAawKyEFYUfg9Yz6HQ/cCrwD7A0MBZ4kpB3Ey60BfApsBJwJ7EVIR3guWycvgXuAv5tZ54z5/0focL6VMf/FqK77RPW8GLgkVs+WwIfA34DB0d9XgHvM7NQVqGem9HHcJrbvawnpKu8Qjs+5wG7AG2aWC/wJ7BcVvwbYKnq8Fq1/KvA84bk+ivDrxAtAt4x9Hx6163TgGGBN4KXoXEsbDFwIPEE4Vm8R0lJqXZuWucs7wACz5xXRpmVuqXK7bNmMr35Ywpz5JTvJq7XLo1mTHC46rh1XnNyebTduUmrdupDTojWpubOXT6fm5ZPTsnWpcnlr9KD1yYNpecQZ5HbIPM2h0Yabs/S7z2qyqlUyfe4CVmvTcvl0xzYtmDZ3fqly7377E3tfcR+n3PsMlx22R/ECgxPvfIqDr3uYZ0fVryg7wPS5C1mtVfPl0x1bNWfavIUlykybu4D3xo7ngC3Wr+3qicgqQDnRFadztAMaAxMzF2R0enD3wtj/x8fK5QJvAmOB4widp7jP4uWj9UcCI2Pb+AgYB3xgZpu4+9dRBPdS4I2M/U0FnsvYx2BCR32gu6dDZsOizvXlVL2D9hhwbdSuK6L9tyd0Ni/Nkipxv7tfG/3/VtRpPtvMbnX3OYRjsxawYRQxBnjHzFoDl5rZPfHjvALSz+fqUZ27ETrNl7n75elCZvYzMArY091fNLN0b6JEmkjUjquBF9w93dEGGJZl3wXA3929IFoX4Blgc+Cj6NeGM4Eh7n5OtM5bZlZEONZZRdH6EwA23/06em5yeIUHoTIsy2s381lt3SKHzTdozFUPlo7G5uQa3Ts34JqHZtGggTH4/9ozbtIyps4qKlW2VmVtWMnJwj9/Z/bN/4ZlS2nQc0NaHnoK+bddWFwgN5eG627EwrczX251L1uWUrZI844brcuOG63Ll+MmctdrHzDk1EMAeOTMI+jYugWz5i/kxDufovtq7ei3zpo1Xu/KypaDldm+G177iDN225LcnHqSQiQispKp6N01a/ffzFYjdIaWP+KdajPbKUpbmAUURmV6Aetm2Vy2dIiGZnZhlMqwOFr/g2hxehtdo8czGau/FO0zbjdC9HWumeWlH4RO3kZRJzAxd58PPA4cH0vLOIZw3B7OssrTGdNPES7Q3CBWz0+B8Vnq2Q6orpBS+nlNfxbvTDgXnsjY76fAPMIFieXZOmrHkErs++10BzoyOvqb7qFsCDQj+7Eqk7sPcff+7t5/RTvQO23RlKtO6cBVp3Qgf14R7VoVR57btsxlzvySHeBunRvQqV0eN53VkVvO6UjDBsZNZ3UEIH9uEd/9spSlBc6CRSl+nLCUNVdvsEL1qw6pefnktCrOn81p2YbU/DklyvjSJbAsXKJQ8MtoyMnFmhZHPxv23JDCPyfiC0umsNQHnVq3YGp+cb2m58+nYyxym6nfOmsyaWY++QsWAdCxdRjApl2LZuzQtxdjJvxZ5rp1oVOrZkydu2D59PS5C+jYsmT+9tg/ZnDeU2+z+/WP8/aY37jq5Q947/vxmZsSEakSd6u1R31VUSR6JrCE4g5OfP5m0f8nAP9ML7Aw/NnrhI7fcYQ0gCLgAUJUO1O2T6drgFMJUeKPgPmEDvPzsW2kh9WbHl/R3YvMLPPKr47AkdEjm3aEzmJV3A2cBOxhZq8RjscL7j4tS9nMeenpLrF6rkP40lBWPavDGtHf9LHvGP0dV8X9ppdPrsS+Z2dMpy8kzXxeyzpWNe6dTxfxzqehM7Xxuo3YectmfPzdYnqs0YBFS1OlUja++Wkpp1xbXL0HLlmNs28Op+WXPyzhqD1bkZMDeblGjzUa8uaHJX92rwuFf4wnt20nclq3JzU/n0Ybbs78Z0p+B7LmLfEF4WWR16U7mOGLijtujTbcgqWjP63VeldWn7U6M3FGPpNnzqFT6xa8+dUPXHN0ycytiTNms0b7NpgZP0yaSkFhEa2bNWHR0mW4O80aN2LR0mV8/ON4/m/3bcrYU93o06UjE2fOZfLseXRq2Yw3v/uVaw7asUSZN849bPn/Fz/7HtutuxY7rN+9tqsqIrLSKrcT7e6FZjYS2NnMGqbzoqOUgi8AzOzvGavtT4gE7xePOEY/08/Jtpss8w4GHnX35WMKm1lmGCmzA5gulwu0zyg7ixDJvi7LvgCmlDG/Qu4+xsw+IORBLyF0gssaAq8TYXjA+DTAH7F6Tqd0ykvaT1WtZ4a/RX9HxfYLsAuQn6V8RVeNpb+0dAHGrFjVlj+vnQgpQMSma903Py1lo16NuemsjiwrcIY8P2f5snOObMsDL8wp1amOmzKjkO9+XsI1p3Yg5TDii0VMnl4dGTkrKJViwWtP0OrIMyEnhyVfjaJoxhQa9x8IwJIv3qfR+v1pvPkgSKXwgmXMf+a+4vUbNKRBj/VZ8PKjdVP/CuTl5nDBgTtz0l1PkXJnny37ss7qHXj6gzAy44EDNuWdb37ilU/H0CA3h0YN8rj+2H0wM2bPX8iZ9z8PQGFRij36r8826/eoy+aUkpebwwV7bctJD78W2tdvXdbp1JanPw0vmQO3KP863POeeocvxk9hzsIl7HztY5y0U3/269+7NqouIiuJ+pyrXFsqM0709cDbhA5o5hB32TQlRJ6Xd47NbAdCNLuyvyU2pXQ0NnOg1snR4wBKpk7sQ+l2vUm4CG6suy+uZB2SuJuQ1tEG+Nndyxo36kBK5vUeDCyguOP5JiECP9Hdp1MDzKwncBHwNTAimv02kALWdPe3y1k9HTXOvDruI0I7TiB7HnQS3wELCccqfhwPXsHtVtkjr8zNOv/GRzOD6kF8jGiA10Yt5LVRdR99zlTwy2jyfxldYt6SL94v/v+z91jyWRmncsEyZl9b1ne9+mFAn3UY0GedEvMOHFB8n6Bjd96KY3feKnM1urZvwzMXHFfj9VtRA9ZdiwHrrlViXlmd5yv+UWIgHq47eKcaq5eIyKqiwk60u79rZucD10ajazxK6Aw3JuQ5H0zo9KQ7zW8SRtUYamYPR2UupjjaWhlvAkeZ2WhCisF+hLzbeL1SZnYZYbi1Bwi50WsD5wNzCZ3CtEuAzwgjhNwJTCB0eDcA1nb3YxPULZvnCKOEbAOcXU65f0a5058TRh05HhgcXVQIYUSTgwgXUN5CiDw3A9YDBrj73gnrtbaFoQVzgQ6EkVaOI0SOD0xf+Ojuv5rZdcCdZrYu8D4hqr4GIV/6AXcfTkipmAUcbGbpzu54d59lZhcAd5jZc4RRNeYDGwNL3P2OylbY3edEbb/IzOYTRubYLKq3iIiI1AP1OVe5tlTqsm13vx4YQOhAXU0YBu1ZwlBm/wN6untRVHYYcBqhQ/kqcCwhF7msfNtsTiWMmHFVtP0WwCFZ6vUAITq+M+GCwuOAwwgd+rmxchMJd1X8Nqr/24Th6QZSMtpZJVHaykuESO0j5RTdO6rry4Sh3q4kGtUj2s5cwpeF1wnjcg8DHorWG16Fql1AuLHKcOA+whB/lwAbuXuJ58PdLyREkrcjXNT3UlSHfOCXqEyK0PFvQzgHPgf2jJbdSfhVoCuhE/0c8A8q/+tD3GDC83QE4Vjtkt6PiIiISJyZ7WZmP5nZuCjwm7nczOz2aPl30fV7K77fle2GdWa2GSHqfKS7P1ZL+8wjGoLP3Y/IsnwwYTi+BtU0RJ2U4/CLpqxcJ3WGW3Mvrusq1JjmAwbUdRVq1rxslxysXBrvX5msPxGpAbUaGv7kx7m19lm75XqtymxbdC3cz4Qg5WRCgO8Qd/8+VmYPQoB2D2ALwl24t1jRelUmJ7reMrPuwL8IFw3OA3oTbtIxntJjRdfE/lsSUkIOJaQ+3FTT+xQRERGR5TYHxrn7bwBm9hThF/zvY2X2JgxY4cAnZtbazFZ39xUav/Qv3YkGFhM6sUcSUgzyCWkG57v7olrY/6aEVInpwOnu/k1N7zDzJjdZFGW5yYuIiIhItalHOdFdgEmx6cmEaHNFZbqQfZjlSvtLd6LdfSrhBiV1tf8RVOLnE3cfTMjzrQ5ljSGddgzh9uciIiIif3nxuxJHhrh7+uYG2fphmcHEypRJ7C/diV5FbVbBct2STERERFYaUYe5rLsiT6b4JnIQBjjIvP9HZcokpk70X4y7f1HXdRAREZFVWz262crnQM/oOrk/CEMvH5pR5mXglChfegtg7ormQ4M60SIiIiLyFxXdXfsUwrDAucBD7j7WzE6Mlt9LGDp4D8JIaosofQO/KlEnWkREREQSqUcXFuLurxM6yvF598b+d8JobtWqUjdbERERERGRYopEi4iIiEgi9Sgnus4oEi0iIiIikpAi0SIiIiKSSEq3dVMkWkREREQkKUWiRURERCQR5UQrEi0iIiIikpgi0SIiIiKSSH0aJ7quKBItIiIiIpKQItEiIiIikohrdA5FokVEREREklIkWkREREQSSWl0DkWiRURERESSUidaRERERCQhpXOIiIiISCIa4k6RaBERERGRxBSJFhEREZFENMSdItEiIiIiIokpEi0iIiIiibiGuFMnWlY+jZs2rOsq1KjmfTaq6yrUmCXt16zrKtSoRg0a1XUVapTn5LJo5NN1XY0a1XS7A+u6CiJST6gTLSIiIiKJpJQTrZxoEREREZGkFIkWERERkUQ0TrQi0SIiIiIiiSkSLSIiIiKJaJxoRaJFRERERBJTJFpEREREEklpnGhFokVEREREklIkWkREREQSUU60ItEiIiIiIompEy0iIiIikpDSOUREREQkEd1sRZFoEREREZHEFIkWERERkURSurBQkWgRERERkaQUiRYRERGRRDTEnSLRIiIiIiKJKRItIiIiIom4bvutSLSIiIiISFKKRIuIiIhIIhqdQ5FoEREREZHEFIkWERERkUQ0Ooci0SIiIiIiiSkSLSIiIiKJKBKtSLSIiIiISGKKRIuIiIhIIinXONGKRIuIiIiIJKROtIiIiIhIQtXWiTazo83Mo0evLMsHxZbvVF37Lac+t5lZoZmtXsZyM7PfzWxEDdZhRKzN5T261VQdqipWt2OzLHvczCbUQbVERESkHnCvvUd9VRM50fOBI4CLM+YfGS1rUQP7zOYR4DTgUOCmLMsHAWsCg2uwDicDLWPTFwObAXtllPuzBuuwoi41s8fdfVldV6SuHLJLMzbs0ZBlBc5Dr85n4tSicstus1FjTrlhFgBb9GnE7ls1AWBJgfP4GwuYPL3s9evShz/9znUvjyLlKfbdbH2O275f1nJjJk3jiLue4/pDd2HnvuvUci0r7+NvxnLzI0+TSjl77bANR+29a4nlb476jMdefguAJo0a8e/jD6HXWl2XLy9KpTj6wmvo0KY1N5/3r1qte2V8OOYXrn/6TVKpFPtuuynH7jagxPLh3/zI3S+/h5mRl5PDuQftxibrrMXSggKOvfFhCgqLKCxKsdOm63PyXtvXUSvK9uGYX7jhqddIpZx9BvTj2N23K7F8+Dc/cM+L72Jm5ObmcO5Be7BJz7UAGDz0BUZ+9xNtWzTj2ctOrYvqi8gqoCY60c8Dh5vZJe7h+4OZNQH2B54Djq6BfZbi7l+Z2RhC5z1bJ/pIYBHw7Iruy8waAIXp9sbq8H1GuRnAMnf/ZEX3WUveAnYB/g+4o47rUic27NGAjm1zufCefNbunMfhuzXn6qFzs5Zda/U8mjYueaHFzDlFXP/4XBYtcTbo0YAj9yh7/bpUlEpx9Ysjue/4vejUqjmH3vkMg9bvTo9ObUuVu/WNj9m61xp1VNPKKUqluOGhp7jjotPo2K4NR194LQP69WXtrsU/THXu0I57LjmTls2b8dHXY7h2yBM8dNV5y5f/74336NZ5NRYuXlIXTShXUSrFNf99nXvPOIJObVpy2DX3M7DvuvTo3HF5mS3W686gjU7CzPh58lT+PeQZXrz8VBrm5XH/mUfRtHEjCoqKOOb6h9h2g3Xou3b9eU6LUimuffIV7jnz6NC+q+5l4EbrZbRvbQZdut7y9p133/944YrTAdhz6004aPstuPih5+qqCSIrvfocIa4tNZET/RiwFrBtbN6+QC6hE12CmW1mZs+a2WQzW2xmP5nZ1VHHO15uVzP7yMzmmtmCqNwlFdTlEaCvmfXN2FZTQqf+BXefH81Lp6NsaWZPmNk8M5tiZrebWePYut2icieb2fVmNgVYCrSu7AGKbetVM/sqy/zuZpYys//LqNt2ZvZi1P5ZZnZXluPU1MyuM7PxZrYs+nuRmVXluf4ceBG4KDpm5bWlpZndGR2zpdHzc6aZWaxMOqVnr6jsTDObEaWHtM7YXp6ZXWBmP0bbm2JmN8Wfi9qwca+GfPxd6ET9NqWQpo2NVs1LX5FsBgfs0JRn31tYYv6vfxSyaEl4p/ntj0LatKyflyGMmTSdNdq1omu7VjTIy2W3jXoy4vvxpcr998PR7LRBD9o2L/d0qHPfj5tA19U60KVTBxrk5bHz1v0Z+cW3Jcr0XbcHLZs3A2CDnt2ZPjt/+bJps/L58Ksx7L3DNrVa78oaM/4P1ujYlq4d2tIgL49d+2/AiG9/KlGmaeNGpF9+i5cWLP/fzGjauBEAhUVFFBYVEXuZ1gtjxk9mjQ7titu32YaM+OaHEmVKtm8Z8Rb069WNVs1KvDWKiFS7mohE/w6MJKR0fBDNOxJ4AViQpfyawDfAUEK6Rx/gEmBt4GAAM1sbeJkQNb4cWAb0jMqU53Hg2qgu58bm70NIK3kkyzqPAf8F9gO2IqR75AOXZpS7iNDJPIHwBaEq4aq7gdfMbHN3/yw2/wRgIfBkRvnHgaej9TYnHKdmRNF9M8sDhgHrA1cAo4EtCWkkbYGzq1DH/wDfEVJjrs1WIOqgvwZsGtVpNPA34GagA3Bhxiq3Aa8SUm3WBa4HioCjMtq6J3Ad8BHQO2pTN8IXoFrRukUus+ctXT6dPy9F6xa5zF1QWKLcDv0b8+0vy5i7oOyv5ttu1JgxvxbUWF1XxPS5C1itdfPl0x1bNWf0xGklykybu4D3xv7G/Sfszdhnp9d2FROZPnsOndq1WT7dsW0bxo4r/aUg7eXhH7HVxn2WT9/yyDOccti+LFq8tMx16tL0OfNYrU1xplinNi0ZPX5yqXLvff0Dt7/wDrPnL+SOUw5bPr8oleKQq+5j0ozZHDRwczbs3rXUunVp+px5dGrbavl0pzatGJOtfV99zx0vvM3seQu5/bTDa7OKIqu8lCLRNTZO9KPATWZ2GtAG2AnYPVtBd18enY6ilh8C84BHzexf7j6L0DlrCJzk7vOi4u9VVAl3n2pmbwGHmdn57p5ORj0S+AN4N8tqT7p7usP8jpltARxC6U70NGDfzBSOhN4EfiOkS3wGy1NDjgGeSEfJY15393Oi/98yMwcuN7Or3f3nqJ7bAgPdfWRU7t0oWnOpmV3n7ol6P+4+1syeBP5tZve4e7ZchD2i/R7j7kNj9WsGnG1mN7v7zFj5ke5+aqzcusDxZna0u7uZDQAOAo5y90ejcu+Y2WzgcTPb2N2/iVfAzE4gfPlgm71vYr3NjkzSzDJlDdBlPOWtmufQv3cjbnis7DSNdddqwICNG3Hto/UvlQMg20mc2fYbXhnFGbtvRW5O/Yyml1S6RWVFW78Y+xOvDP+IIZeF75ijvhxN21Yt6L32Wnw59ucarWVVZX2+KN2+HTbpzQ6b9ObLnydw98vvcd+Z4Xtqbk4OT198EvMWLease/7HuD+msU6XTjVc6wQq+a66w6brs8Om64f2vfQu9511TM3WS0QkpqY+DZ8BGhEiiYcBU8neYU2nAVxnZr8S0iIKCNFgI0SbIUSqC4CnzOwfZtYx27bK8AiwOrBjtL/VCZ36x909laX8axnTownR8kwvrmAHmmj/9wEHm1k67LIP0Cman+npjOmnCM/h5tH0boRfAj6K0iHyouj0W0ADQlS6Ki4FmlMymh+3HZAiRPDjHid8+dkqY362Y9yI0G4I7VgGPJelHen9leDuQ9y9v7v3X9EO9Pb9GnPJ8a255PjWzJmfom0sBaNNyxzmLCh52qy5Wi4d2+Ry9cltuPZfbWjYAK4+qTgK2rVjLkf9rTl3PjOPhYvr51f3Tq2aM3VO8Q9F0+cuoGPLZiXKjJ08nfP++xa7X/sob48ex1UvjuS9sb/VdlUrpWPbNkybVZyeMX12Pu3btCpV7pffJ3P1fY9zwzkn0qpFiMR/+/OvjPzyO/Y55SL+c/uDfDH2Jy698+Faq3tldGrdkqn585ZPT8ufR4fWZV+z3a9XNybNyCd/Qcl0o5ZNm9C/Vzc+HDuuxupaFR3btGTa7OIvnNPy51bYvsnTZ5M/f2GZZUSkerlbrT3qqxqJRLv7fDN7kZBG0Y0QVU2VEQl6mNCpvYTQWV5I6BTeBTSOtjfOzHYFziN0sBuZ2efAv939/Qqq8xIwhxB9fovQqc8lRMuzmZ0xvZTQwctUXSNqPAhcRjhWdwInAp+5+9dZyk4rY7pL9LcjIR+9rJyBdlWpoLv/ZmYPAqeb2W1ZirQFZrt75m/fU2PL47IdY4ieb0I7GpI9/Qeq2I7KGv7lEoZ/GbJzNlynATv0b8Jn3y9j7c55LF7qpVI2Ro8r4Ozbipt057ntuPCe0IFr2zKHk/dvyYMvzWfa7Gzf2eqHPl07MnHWXCbPnkenls1489tfuObgnUuUeeP84i8nFz/9LtuttxY79Kkoo6pu9O6xFpOmTmfK9Jl0aNuatz/6gitOLTla49SZszn/5iEM/tfRrNm5OAr7r0P24V+H7APAl2N/5olX3+ayU+pXhLNPt85MnD6LP2bm07F1C4Z9MYarjyuZ5TRx+izW6NAWM+OHiVMoKCqidbOmzJ6/kLzcHFo2bcKSZQV8+uNvHLNr/cr97tOtS2jfjHw6tmnBsM9Hc83xB5QoU6J9v0ftq+e5+iKycqnJ234/Sog45hDSDEqJLhLbGxjs7rfF5m+YWdbdhwPDzawRsA0hN/o1M+uWkSqQud4SM3uaMGJIc0Jn9fPMkTOqoFpCiu4+y8yeAf7PzIYB2wPHl1G8EzA2YxpCagrALGA8cGAZ609YgapeQchZzsxvhtApbmtmDTOGwlstVq8kZhFyzAeUsXxKwu1V2ehxBWzYoyFXn9yGZQXOw68W9+tPP6glQ19bwNwFZXeO9xzQlGZNjMN2D1HOVMq58qH6l9KRl5vDBXsP4KQHXw5Dim3Wm3VWa8fTn4wB4MAtN6jjGiaTl5vLOccczGlX30EqlWLP7bdm7TU68/zbIctpv52348HnXmPuggVc/9BTAOTm5vDI1RfUZbUrLS83l/MP3oOTbnuMVMrZe5tNWKdzR555/3MADhi4Ge9+9QOvfPItebk5NG7QgOv/+Q/MjJlz53Px0BdJpVKk3NmlXx+267tuHbeopLzcXM479O+cfOsjpDzF3ttsSo8unXhmRLh05IBBm/Pul2N59eNvyMvNpVHDBlx3wkHLU3bOH/I0X/48njkLFrHruTdw4l47sO+A7EM2ikjVaHQOsBXMSCjekNnRhKhyzyhynEv4OX+Ou58UlRkEDAd2dvd3ohSGOcD57n5dbFvvE36y397dR5Sxv70IUebN3f3zCuq2NSHX+mbgLOBUd7+zvPrH5g8GLvXo9wQLN0YZD/zT3R+o4LBk1mMosJO7d82YvyXwMeGCzI2Azu6+KEvd7nP3E2PzLyJ8mejt7j9H5e4HNnT3H5PULUtdHbjK3f8Tm3cDcCrwCdDN3btF8/9GuFDwcHd/Ilb+fsIvAF3cfWbm85+lfd3dfUKs3E7unjUNqDzHXzVzpX5p39kn83rTlceStf5anfWkGs3N/DFp5eI5uXVdhRrXdLuyYhQida5W8x4efb96gomVceTA2m1bZdVYJDq6iC9rBDpWZq6ZfUK4+OxPYCZwLMXpCQCY2YmETvXrwCSgPXABISI5phJ1+cjMfgHOJKQ6ZObu1il3/8TCUHfbAXfEO9AZ9og6sm8RUl4uBR6NLioEeIJwUeK7ZnYT8C0hLaIH4QYv+5Sz7cq4lnDx3kBC7nXaG8Ao4F4z60CIlu9BiKhfU94vBdm4+wgz+y/wrJndTLjoMkVIDdoDOC/WZhEREallGp2j5i4sTOIQ4EtCDvRQQh7t6RllviUM5XYNoQN5JyEavIO7L67kfh4lfEt7LRrxo75J3/Ql2wWFaYcDvQjDBZ5NiDqfnF7o7gXArtH8EwhfOp4gpGF8RLhYr8qi43ZzlvkpwpB2jxDy1l+Lps8iDAVYFYcThhf8B+EXh2eBU4BfKJ0bLiIiIlKrqi2dQ1aMmX0IpNy9VB5wWakmkp3SOf66lM7x16Z0DpE6VaspDw8Pr710jmO2X8XSOaRi0UWSmxJGJ9macJGliIiIiNRz6kTXrdUJaRZzgKvd/eWa3mF0wWd53+hSZYyfLSIiIgJodA6oHznRqyx3n+Du5u5t3L3M3GF3HxqVq45Ujl8JF1eW9bikGvYhIiIislJTJHrVsyfZbx6TVmtjMIuIiMhfk0bnUCd6lePuo+u6DiIiIiJ/dUrnEBEREZGVkpm1NbO3zeyX6G+bLGXWMLPhZvaDmY01s8yhlrNSJ1pEREREEnGvvccKOh941917Au9G05kKgbPdvTewJfAvM1u/og2rEy0iIiIiK6u9CTeDI/q7T2YBd//T3b+K/p8P/EDG3bOzUU60iIiIiCSSqsXBcM3sBMKdmNOGuPuQSq7eyd3/hNBZNrOOFeyrG7AJ8GlFG1YnWkRERETqrajDXGan2czeAVbLsqjM4YPL2E5z4DngDHefV1F5daJFREREJJH6dLMVd9+prGVmNs3MVo+i0KsD08so14DQgX7C3Z+vzH6VEy0iIiIiK6uXgaOi/48CXsosYGYGPAj84O43V3bD6kSLiIiISCJ/odE5rgV2NrNfgJ2jacyss5m9HpXZBjgC2MHMvokee1S0YaVziIiIiMhKyd1nATtmmT8F2CP6fxRgSbetTrSIiIiIJKLbfiudQ0REREQkMUWiRURERCQRr9XhORJnWtQKRaJFRERERBJSJFpEREREEqlP40TXFUWiRUREREQSUiRaRERERBJJpeq6BnVPkWgRERERkYTUiRYRERERSUjpHCIiIiKSiC4sVCRaRERERCQxRaJFREREJBHd9ludaFkJNWq0kp/WLVrXdQ1qTKP8P+q6CjXKVvLfP5e2Xr2uq1Cj3Iyl375f19WoMW02GljXVRD5S1nJexsiIiIiUt1W8phApSgnWkREREQkIUWiRURERCQRr9WkaKvFfVWeItEiIiIiIgkpEi0iIiIiiWh0DkWiRUREREQSUyRaRERERBLR6ByKRIuIiIiIJKZItIiIiIgkklJStCLRIiIiIiJJKRItIiIiIokoJ1qRaBERERGRxNSJFhERERFJSOkcIiIiIpKI0jkUiRYRERERSUyRaBERERFJJKVQtCLRIiIiIiJJKRItIiIiIol4qq5rUPcUiRYRERERSUiRaBERERFJxJUTrUi0iIiIiEhSikSLiIiISCIp5UQrEi0iIiIikpQi0SIiIiKSiHKiFYkWEREREUlMkWgRERERSSSlQLQi0SIiIiIiSSkSLSIiIiKJuELRq1Yk2sx2MbM3zGyWmS0xs5/N7Doza1PXdauImbmZDY5NDzazSp3BZtbEzC4ws2/NbJGZzTWzkWZ2cI1VuHjfg6K6D0qwztHROpmPb2qsoiIiIiIJrDKRaDO7ELgKeBE4HpgN9APOA/Y3s+3dfVLd1bBmmFkr4G2gN3ATMBJoDOwHPGlm27n7yXVYxfIcAEyOTS+sq4qkHbBDE/p0z2NZITz2xiImTS8qt+xWGzTkrNvn1mINK+/Dsb9y3TNvkXJn36035rhdty6xfPi3P3HXKyPJyYHcnBzO/ccubLrOGsuXF6VSHHLtQ3Rs3YI7Tz6otqtfoQ/H/sr1Tw8L7dtmY47ddZsSy4d/+xN3v/I+ZkZeTg7nHrAzm6yzJksLCjn2pkcpKCykMJVip016c/KeA+uoFWVb2Z+/j78Zw81DnyaVSrHXDtty1D67lVj+5gef8tjLwwBo0rgR/z7uUHp1W4Olywo4cfCNLCsopChVxA5bbMoJB+5VF00o18ffjOGWh/8X2rfjthy5z+4llr/5wac89tKbADRt3Ih/H38YPaP2nXTpDSwrLKSoqIgdtuzHP+th+0RWBatEJ9rMtgeuBG519zNji943sxeAL4FHge1rsU6N3H1pLezqNmAjYFt3/zw2/3UzGw3camaj3P3JWqhLUt+4+7i6rkRan+55dGiTw+AH59Nt9VwO3rkJNzyxIGvZNTvl0rSR1XINK68oleLq/73JfacdSqfWLTn0uocY1LcnPVbvsLzMFut2Z1DfXpgZP0+exrkPvsBLl564fPkTwz9n7dXas2BJbZzGyRSlUlzz1Bvce9phdGrTksOufZCBfXuV275/P/A8Lw4+iYZ5udx/xuE0bdyQgqIijrnxEbbt04O+a3etwxaVtCo8fzc89F/uuOgMOrZrw9EXXMOA/n1Zu2vn5WU6d2zPPZeeTcvmzfjo6zFce//jPHTVBTRskMddl5xJ08aNKSws4oRLr2erjTdgw15r12GLSipKpbjxwSe5/T9n0rFdG4654GoG9N+I7pntG3xO1L7RXDPkMR66+kIaNsjjzkvPitpXyAmXhPZtUI/aJ6sGjXC36qRz/JsQeb4gc4G7jweuBQaZ2RYAZjbWzJ7LLGtmW0RpBfvE5m1kZi+bWb6ZLTazD81sQMZ6Q81sspltZWYfmdli4Ppo2cFm9p6ZzTCzBWb2tZkdVR2NNrPOwOHAAxkd6LTbge+B82PrZE0TidowIWPeZWb2VZQeMjNqx5bVUff6qO86Dfh07DIAJvxZRJNGRstmpTvKZrDvwMa8MHJxbVex0sZMmMIaHdrStX0bGuTlslu/9Rnx7c8lyjRt3BCz0L7FywqIt3Ra/jw+GDOOfbfZuPYqncDy9nUI7du1f5+K2xc10Mxo2rghAIVFKQqLUsvL1Rcr+/P3/bjxdO3UkS6dOtAgL4+dt+7PyM+/LVGm77o9aNm8GQAb9OzO9FlzgPTz1xiAwqIiCguL6t3z9/248XRdLd6+zSpo39rMKKt9RUVQv5onsspY6SPRZpYHDARecvclZRR7GbgO2AH4FHgMuMzM2rh7fqzc4YTO+OvRtjcFPgC+Bv4JLAJOBN4xs63d/cvYuq2Ap4AbgQuBdA9rbeBZQkc+BWwHPGBmTdz93hVpOzAIyI3aV4q7u5m9ApxnZp3cfVrC7XcBbiGkXDQjHJ+RZtbf3b+rerWXG2VmHYDpwEvAhe4+uxq2WyWtmucwZ37xfU7nzE/RunkO8xaWTOkYuElDvvu1kHkL6+/X9Olz5rNamxbLpzu2acnoCX+UKvfuNz9y+0sjmD1/YYmf/K9/9m3O3HcHFi5ZViv1TSq0r+Xy6U5tWjB6/JRS5d775kduf3E4s+cv5I5/FV8iUJRKccg1DzJpxmwOGtifDbt3qZV6V9ZK//zNnkOndsWXqnRs14ax48aXWf7l4R+y1cZ9lk8XpVIcdf5VTJ46g3/sOpANenav0fomNWP2HDq2a7t8umO71oz9pez2vfLeh2y5yQbLp4tSKY4+70omT53B/rsOYoOeikJL7UvpwsJVIhLdDmgCTCinTHpZOmHwCcIXjAPTBcysAXAw8D93T3/y3ABMBHZw92fd/XVgX+A34OKMfTQHTnP3O9x9hLt/CuDuV7v73e7+FvAecDkwFDgpeVNLSbdnQjll0svWTLpxdz/e3R9z9+HAG4RO9HjguKTbyvAn4TgcC+wE3AUcRki/aZxtBTM7wcy+MLMvxn4ydAV3n122YFbmW0irZsamvRry/lf17yfyuGxvfZYlnLXjxuvx0qUncuv/HcBdr7wPwPujf6Ft86asv+bqNVzLqst2J61sz98OG6/Hi4NP4pYTD+Dul0csn5+bk8PTF/2TYVefzpgJUxj3x/QarG1yK/vzl62BZQVbvxjzE6+89yGnHLbf8nm5OTk8fv3FvHLPtYwdN4FfJ5b+glGXst7prYxo+ZdjfuTl4aNKte+xGy7h5Xuv4/tfx9e79omsKlb6SDRV+KHL3SeZ2fvAEcB90ezdgPaE3GnMrAkhwn01kIoi3mnvEDp9cYXAq6UqZ9aT0GHcDliN4i821dELq0zb02VS5ZbKtqLZTsBFQF+gbWxR2SGVSnD3YcCw2KzhUf72i0TpKVnWGQIMAfjXjXOq7evxdhs3ZJu+jQD4fWohrVvkACHy3LpFDnMXlDxsXTvlhrzp40MUtEEDGHxcCwY/OL+6qlQtOrVuwdT84jpNz59Hx1bNyyzfr+eaTJqZT/6CRXzz62RGjP6FUWN/ZWlhIQsXL+WCh1/immP2ro2qV0qnNi2Zmj9v+fS0/Pl0aNWizPL9eq7FpJkvk79gEW2aN10+v2XTxvTvuRYffv8r63TpWKN1TmJlf/46tmvNtFnFPwJOn5VP+zatS5X75ffJXD3kUW49/zRatSjd/hbNmtJv/V58/O1YeqxZf35N6NiuDdNnFf+oNn3WHDqU1b77HuWWC04vs32brr8un3xTv9onqwbd9nvViETPJKROdCunTHpZfHSOR4FtzCz9O+ARwDh3/ySabktIlbgYKMh4nAK0MbP48Z3u7iV+9zez5oSRMzYi5CUPADYDHgIaVbqFZUu3p1s5ZdaK/iYKZUSpLK8DCwiR5y0Jdf+WMPpHdXuZMDrHZjWw7TKN/GYZ1zw6n2senc+34wrYok/Ile22ei6Ll3qplI2xvxVywT3zuOT+8CgooN51oAH6rNWZidNnM3nmHAoKi3jzy+8Z2LdXiTITp89e/ib5w8Q/KSgsonWzJpy+z/a8ffVpvHHlKVx37L5stm63etUBg+L2/TEzn4LCIoZ9MbYS7UvRulkTZs9fyLxFIfNrybICPv1xPN1Xa1/rbSjPyv789e7RjUlTpzNl+kwKCgt5+6Mv2K7/RiXKTJ05m/NvupfB/zqWNTt3Wj4/f9585i9cBMCSZcv4bMyPdOu8Wq3WvyK9e3Rj0p/x9n3OgFLtm8UFN97DpaccV277Ph/9A2t1qV/tE1lVrPSRaHcvNLORwM5m1riMvOj0+EDvxeY9R0gjONzMbgP2BK6JLZ9DiN7eRRSdzrLveJgy21e2rQid2AHuPio9MyOqvSJGEMKme1EyspvejxHa9bO7T41mL4mWNYylrUBIi4nbnxBd38/dC2LbbEM4NjWlzr76jv2tkD7dGzD4+BYsK4DH31y0fNnJ+zXjiWGLmFuP86Dj8nJzuOCgXTnpzv+SSqXYZ6uNWKdzB54eGdL4D9yuH+988yOvfDqaBrk5NGrQgOuP26/eXaBVlrzcHM4/eDdOuiO0b++tN2adzh14JmrfAdv1492vf+SVT78jLzeXxg3yuP74fTEzZs5dwMWPvEzKnVTK2aVfb7bbsGcdt6iklf/5y+WcYw/mtKtvI5VKseegbVh7jc48/3ZISdlv54E8+OyrzF2wkOsfDAML5ebm8Mg1FzEzfy6X3z2UVCpFKuXsuFU/tu3Xty6bU0po3yGcftWtpFIp/r591L63ovbtMpAHn32NuQsWcsMDTwCQm5vL0GtD+66462GKUincnR236l/v2ierBk/8+/XKx1aFcLyZ7UhIsbjF3c/KWNYd+AIY4+4DM5Y9CfQnXHT4ALB2NJpHevkIQjrE9hkd5sz9DwV2cveuGfP3JqQobJnOkY46oeOBVu5usbIOXObug6PpwcCl8TJl7PtR4CBKD3GHmZ0O3Aqc6e63RvMOAZ4E+rn7V9G81sCvwHx37xbNu4Uw3nYbdy+M5u0AvAu87+6DonmDgOHRMRpRXl0raMe+wPPAse7+cHllqzOdoz66aZOs14muFPwv0smrKlvJ32+XtEt8acVfysp+frbZqP6Nhy6J1OoJ+u97F9faG9r1Jzaply++lT4SDeDu75rZJcDlZtaNEDnOBzYlpFHMJaRrZHoUOAS4DBgV70BHziLcvGSYmT1IuCCufbTdXHc/n/J9BMwD7jKzSwkjXPyHkILSKmk7y3Aa0Ad4z8xupPhmK/sTLtx7jTDUXdobhONxf1SnRoQhAjMHRH4TOAMYamYPA70IqS0rfIWLmb1N6HiPIaTibAOcQ0gVqY/jWYuIiKxSUit5UKAyVoWcaADc/Qpgd0JH9WHgLeBkQke5v7tPzLLa28BUwlBuj2XZ5leEHN1ZhI7oW4Sbm2xI6KxWVKcZhNE8cgnD3F1DiHg/nqx15e5jDiHX+hrgH4Q85tcJecxXA3vHo+hR+b8TUlWejta7g9CpjW93GKGDvg3hgsljgSOB6rg5yljCl5onCJ38I4B7gYG1dIMaERERkXKtEukcUpKZrQl8QhiKb2d3r793BakCpXP8da3sP5crneOvbWU/P5XO8ZdXqyfo2XfX3kVAN52c5c5m9cAqE4mWYlHUfU9gY+B/1Xgho4iIiMgqQZ2nVVR0N8WyB5atAdFoILnllUlfpCgiIiL1l+5YqEi01K6jKD2mduZDREREpN5TJFpq0yvU8s1SREREpPqt5Jd4VIo60VJr3H0WYSQTERERkb80pXOIiIiIiCSkSLSIiIiIJOK6sFCRaBERERGRpBSJFhEREZFEdNtvRaJFRERERBJTJFpEREREElFOtCLRIiIiIrKSMrO2Zva2mf0S/W1TTtlcM/vazF6tzLbViRYRERGRRDzltfZYQecD77p7T+DdaLospwM/VHbD6kSLiIiIyMpqb+CR6P9HgH2yFTKzrsDfgAcqu2HlRIuIiIhIIn+hlOhO7v4ngLv/aWYdyyh3K/BvoEVlN6xOtIiIiIjUW2Z2AnBCbNYQdx8SW/4OsFqWVS+q5Pb/Dkx39y/NbFBl66VOtIiIiIgkUpujc0Qd5iHlLN+prGVmNs3MVo+i0KsD07MU2wbYy8z2ABoDLc3scXc/vLx6KSdaRERERFZWLwNHRf8fBbyUWcDdL3D3ru7eDTgYeK+iDjSoEy0iIiIiCbl7rT1W0LXAzmb2C7BzNI2ZdTaz11dkw0rnEBEREZGVkrvPAnbMMn8KsEeW+SOAEZXZtjrRIiIiIpJI6i80PEdNUTqHiIiIiEhC6kSLiIiIiCSkdA4RERERSaQaLvj7y1MkWkREREQkIUWiRURERCSR2rzZSn2lTrSsdDqt3ryuq1Cz5ubXdQ1qzKJem9V1FWpUk/w/6roKNarxxLF1XYUaNXO9gXVdhRr1x7ipdV2FGrXBOtnuCi1SdepEi4iIiEgiikQrJ1pEREREJDFFokVEREQkkZRG51AkWkREREQkKUWiRURERCQR5UQrEi0iIiIikpgi0SIiIiKSiO5YqEi0iIiIiEhiikSLiIiISCIp5UQrEi0iIiIikpQi0SIiIiKSiEbnUCRaRERERCQxdaJFRERERBJSOoeIiIiIJKIh7hSJFhERERFJTJFoEREREUnEU6m6rkKdUyRaRERERCQhRaJFREREJBHdbEWRaBERERGRxBSJFhEREZFENDqHItEiIiIiIokpEi0iIiIiiei234pEi4iIiIgkpki0iIiIiCSiSLQi0SIiIiIiiSkSLSIiIiKJpFx3LFQkWkREREQkIUWiRURERCQR5USvIpFoMzvazDx69MqyfFBs+U6x+TlmdoyZfWZms81soZn9amZPmdnmFexzQmybZT0GVX9rS7S3W01sv5J16JbR1iIzm2pmT5jZGlnKp8tdnWWZmdlv0fLHa6cFIiIiImVb1SLR84EjgIsz5h8ZLWuRMf9G4DTgVmAwUAD0AvYFtgA+K2df+wKNssxvBTwNzAG+TVD3JF4DtgL+rKHtJ3EN8DLQENgSuBTobWZbuHtBRtn5wGFmdpGXvBXSAKAbsLAW6luuXfvl0LOLUVAIL31cxNT80mX23CKH1dsZBsya77z0cYqCwlqvamIf/jSR614dRSqVYt/N1ue4QZtmLTdm0jSOuOd5rj9kF3besEct17LyPvl6NLc+9CRFqRR77rgdR+73txLLh438mMdfeB2AJk0ace4JR9Kz25oAXHXXg3z4xbe0adWSJ269stbrXhkfjvmZG/77OqlUin0G9OPYPQaWWD786x+458V3sBwjNyeHcw/eg016dgNg8MPPM/K7n2jbohnPXn5aHdS+Yh/+OIHrXh5JKuXsu3kfjtuhf4nlw8f8yl3DPiHHjNzcHM7dazs27d4ZgCc++IbnPh2DA/tv0YfDB2xSBy0o32dffs1d9z9EKpVij5135JAD9iuxfOKkyVx/212M+/U3jj3iUA7cb+/lyw497kSaNmlCTk4Oubm53HPL9bVd/VK+/uJTHhpyB6lUih13+Rv7HXhYieXuzkP33c5XX3xKw0aNOPXMC1h7nRDTWrhgPnfffgMTfx+PAf864zzW7b0Bjzx4D1989hF5eXmstnpnTjnjfJo1z/yYFqk7q1on+nngcDO7JN1JM7MmwP7Ac8DR6YLR/H8Bd7j7ObFtvA3cZWblRvHd/ets883seaAJsIu7Z+mCrTh3nwHMqIltV8Fv7v5J9P9IM2sAXAn0Az7JKPsCcDgwEBgRm38k8D7QvWarWr51OhvtWsKdLxfRpR38bfNcHhxWVKrcsC9TLIs6zbtsmsPmvYwPv6/fP3sVpVJc/fJI7jtuTzq1bM6hdz3LoN7d6NGpbalyt775CVv3LPVjQr1SVJTixvsf47ZLzqFju7Ycd97lDNhsY7qv0WV5mc4d23PXFefTsnkzPv7qO6679xEeuDZ8v95j0Lb8Y/cdufz2B+qqCeUqSqW49olXuOesY+jUpiWHXXkvAzfuTY/OHZeX2aL32gza+BTMjJ8nTeW8+57ihSvPAGDPbTbhoB225OIHn62jFpSvKJXi6hdGcN8J+9KpVXMOvf1/DOrTnR6d2i0vs0XPNRjUZ+3QvikzOffxN3jp30fwy9RZPPfpGJ447SAa5OZy8gMvMWC97qzVoXXdNShDUVERt997P9dfcQkd2rXj5LPOY6stNqPbmsWvqxYtWnDKCcfx4SefZt3GTVddRqtWLWuryuUqKiri/ntu5ZIrb6Jd+w6cd+b/sdmW27DGmt2Wl/nqi0/5c8pk7rz/CX756XuG3HUz195yLwAPDbmDTfptzrkXXk5BQQHLli4BYKNN+nP40f8kNzePxx66l+effoIjjj2xLpooWSidYxVJ54h5DFgL2DY2b18gl9CJjmtGiJ5OzbYh9+SXpZrZOdH+znX3TzOWbW5m75jZgiht5N3MlBEzG2pmk81sEzP7wMwWmdkvZnZiRrlS6RxResnjZnawmf0Q7eMLM4sfi3TZ06PyS6JUlq2j6aFJ25zFV9HfNbMsm0ToLB8Rq0tj4B/Ao9Ww7xWyblfj29/Cm8Yfs/j/9s47vIqqicPvJKH3joKKiohg772gftixF2yg2LErCvbeC5+9916xNxTLp4IoKmAXFFF6lV4y3x9zlmwuSSCQ3N2bzPs850nu7tmbc/Zu9s7OmfkNtWpC/dpL91sQ8zoX5EMu3GZG/DWR1Zo1om3TRtQoyGePjdoz6MfRS/V75vPh7Lb+WjStXyeBUS4/P/w2iratW9KmdUtq1Chgt+235NOvij/XbtBxHRrWrwdA5w5rM3HK1CX7Num8Lg3r18/qmMvDiNFjWa1lM9q2aEqNggK6brkBg779sVifurVrISIAzF2wAFsbMTbrsCaN6qX3MxwxZgKrNW9M22bhetx4HQaNHFWsT91aNWPzW0j4ldETprLhGq2pU7MGBfl5bLZWGz4c8Xu2p1AmP/36G21Wac2qrVtTo0YNdtlxez4f/FWxPk0aN6Jjh/YUFKTf1/XbLz/SetU2tF5lVWrUqMH2O3bhqy8/K9bnqy8/Y6cuXREROnTszOzZs5g2dQpz5szmhxHfset/bKWoRo0aS7zNG2+6Bfn5Nv8OHTsxZUpafEOOY1Q3I/pP4BNiRhrm5XwFmBXvqKqTgdHAeSJysoiUZPQtN8FYvQ54SVX7Z+zbEDMem2De8GOAhsDHIrJRxls1BJ4GngS6AV8B94jILssxjB2Ac7FwlsOwh4c3RKRxbCy9sPCVD8L7Pxr+XmMqhnbhZ2nfao8DB4eVAID9gRpA4i6zBnVh5pwik/jfOUqDuiX33W/rPM45MJ/mDWHIz+k3oyfOnE3rRkVGY8uG9Zkwo3j0zIQZs/jwh9EcslXnbA+v3EyaOo1WzYu86C2aNmXSlNIXft4Y+AnbbLJBNoZWIUycNpNWTRoted2qSUMmTZu5VL8Pv/mBAy6+nTP6P8FlPQ/I5hBXiokzZ9G6cex6bLT09QgwcPjvdLvxCXo//BpXHGLpLO1bN+PrUf8wffZc5i5YyGc//cH4Gf9mbezLw+QpU2nRvPmS1y2aNWXylCnLfbwg9Ln0Sk4+63zeeOe9yhhiuZg6ZTLNmxetgjRt3oIpUyYv3adFUZ9mzVswZcokJoz7h4aNGnPnbddz3unHc3f/G5k3b+5Sf2Pg+2+xyWZbVd4knHKjqllraaW6GdFgRtohIlJbRFYBdqN0L2d3LA73HuBPEflbRB5aVlJhJiLSCngO+AM4roQulwLzgV1V9UVVfQnYFZiLxRDHaQCcqqr3qer7QE9gCnDEcgylIRZG8qKqvgGcgMVo7xXGmRf+3tuq2ktV31XVu4FzQr8VIU9ECkSkroh0AS7CHiS+LqX/i1iYURQAeAzwqqqW+S0oIicGz/rQoR8+sIJDLRtZdpclvPZlIbe9sphJM6HzGuU5Mhm0BH955OWLuOmN/3HWHluTn5cDt40S7rmZ84n4eviPvD7wU049+tBKHlQlU8L8umzaiVeuPotbe3fn7lc/SGBQK0ZJ35klfXy7brA2A/ocze099uGudy06bK1WTem5y2ac9MCrnPrgADqs2pyCtF2zJUywtOuzJPrfeA339b+Z6y6/mAFvvsP3I0ZW5OjKTUlGTuZsSu4jLC5czKjffqXrXt24+Y6HqFW7Nq+88HSxfi8++wT5+fnsuMvuFTlsx1lp0r9OVPG8ANwJ7IuFdowHBgI7ZnZU1S9FZF1gF8zY3gY4FughIj1VdZkhBiKSDzwDNAX2VtWl3UX2t99Q1emxvz1TRF4L44wzR1U/ivWbLyK/UnJ4RCZfZMRhDw8/o2PbhnZpxnEDgBVNjbsvtIhvsLjnElHVWSLyCnC0iAwC/gPsXVr/2HH3A/cDXPnUogp7bN28g7Dp2vYF/M9UpWFdIbLQGtQV/p1T1pjghz8L2aZT3pIwkLTSqmF9xs8oWoyZOHMWLRsWd7OP/HsiFzzzPgDT5szl05/HkJ8ndOm8VlbHujy0aNaECZOLwjMmTZ1K86aNl+r32x9/cd09j3DrxefQqEF6wzcyadmkIROmzVjyesK0mbRoXHrC1WYd1mTspJeY9u9smjSol40hrhStGtVn/PTY9ThjFi0blj7uzdZqw19TZjBt9lya1KvDgVt25sAtbcXkv29/TqtG6fpsmzdvxqTJRZ7aSVOm0qxp0zKOyDi+mfVt0rgR22+zFT/98hsbrp/cClGz5i2YPHniktdTJ0+iabPmS/eZVNRnSqxPs+Yt6NCxEwDbbLdTMSP6ow/e4euvPufya24r14OGU/kUFnqxlZQ9nlc+waP5KhbScQzwVFnxzao6X1XfUdXzVHU7oBNmeN+6nH/yKswIP0NVvy2lT1NKVtIYj4V4xClpTXo+UEJ07lJMjb9Q1fnh1+jYVcLPiRn9FgPF1+aWn6uBLbBkwTuBTYG7l3HM45jxfHYYS2IutKG/KPe/vZj7317Mz38pG61lN/E2zWD+Apg1b+ljmsS+rzu0yWPKjKX7pI3ObVsyZvIMxk6dycJFi3nnu9/Yab3ieZxv9zmaty+wtvv6a3NRtx1TaUADrNd+TcaOm8g/EyaxcOEiPvhsCNtvXlyhYfykKfS96U4uO+MEVl+1dUIjXTE6t2vDmAlT+HvSVBYuWsS7Q4az80Ydi/UZM2HKEu/fj3/+w8JFi2lcv5T4o5TRebVWjJk8nbFTZ9j1+O2v7NSp+LU2ZvL0ovmNncjCxYtpXNduZVNm2dPtuGn/MnD47+y58VLKponScZ32/P3POMaNn8DChQv56JPP2HbLzZd9IDB33jzmzJm75Pehw76j3RorFW240rTv0JFxf49lwvhxLFy4kM8++ZDNt9quWJ8tttqOjz98F1Xll59GUrdePZo0bUaTps1o3qIFf48dA8Dw776hbUhIHDZ0MK+++DQXXnodtWovz1ec42SX6uiJBjPS3sQeIpYnDGIJqvqLiDwHnC0iLVV1Yml9RWRv4ELgSVUtK8ZgKlDSt3hrMgzfSiYy5FvGNwZvevOluy8Xf6rq0PD7JyLSAOgpIveqamkSgR9gxvN5wK3BiE+cX/9R2rcReu+Xz8LF8NoXRcM6Yuc8Xh9cyKy5sP+2+dSsYcuZE6Ypbw5J/9N6QX4efffbgVMefp1CVfbfvCPtWzXl+cEjADh0q/UTHmH5KMjP55xeR3L2VbewuLCQfbrswFqrt+GVd20R54Cuu/DICwOY+e8sbn7gCQDy8/N5+EaLnrr01nsZNvInpv87i24nnEOvw/Zn392WWqxKjIL8fC7ovg+n3v4YhYWFdNtuM9Zu04oXBtm/1CE7b8nAb0byxhffUpCfR60aNbjhpMOWePIuvP85vv55NNNnzaHr+Tdy8n5dOGCH5TPiskFBfh5999+ZUx4YYBJ+W3amfetmPP+FLZ4dus0GfDD8N17/+idq5OVRq0YBNx6155L5nfv4W8yYPZeC/Hz6HbAzDeumywDLz8/n9JN7ccFlV1FYWMieu3Wh3Rqr8/rb7wKw755dmTptGqec3Yc5c+YiecJLr73Bw3f3Z8bMmVx2jUnaLV68mF132oEtN0tWwi8/v4Bep5zFVZecR2FhIV1234vV11iTd98aAEDXvbqx6RZb883QLzmtV3dq1arFaWdfuOT44086k/43Xc3CRQtp1dqk7AAevLc/Cxcu4MqLzgUsufCk3udmf4JOibg6B0iaA7YrChHpATwCrKOqvwWj8ElguqqeEvrsDHwE7K6qHwQptqaqOqGE93sL2BloEvPmZvZph4UujAO2VNVSNY5F5AUsBnqNKPY3GJt/AINU9aCw7VFgN1Vtm3H8IABV3Tljvmuq6h9h2x/AZ6p6VMaxClyhqpeHmOg/geGqulesz0FYrPJjqtqjtHmUMP/RwAmq+mBse2tgFPCRqu4d267ANap6cXh9MrAH0FdVfyxrDplUZDhHGulT566kh1BpzO6wRdJDqFTqTPs76SFUKnnTSvUpVAkmd9xp2Z1ymOl5K+oryQ3Wb59bK04rQFbjXfY5IXvarW880CmVsTzV0hMdPJvL8kA3AsaIyPPAW8BYoBlwOLAncGMZBnRNzOhsjKlhbFBKLNfvQdP5KmAfYKCI3IAF3V4A1AWuLNfkVgJVLRSRK4AHRORBLH58LcybPgNYaZeqqo4Xkbsw1ZPNSkswVNV7gXtX9u85juM4jlPxrIDSb5WjWhrRy8lM4GJgd+AmLMRhHjASOAkoKzxjVayYCMDDZfTrCTyqqt8HT/g1wGPY0+SXwE6qWllVDUtEVR8UkfpYPPJRwAjgSOB1zJCuCK7HzuGlFKlwOI7jOI7j5AzVwohW1UcxveOy+gwithSiqgsw4/mmFfh7f1DOZZVQfGW3ZfTpUcr2nTNeP0rGfFW1XSnHLjVOVb0d04oGQES2wLzq32T2LWOsf1DKOVDVKZjcXpnjKOG4dsv79x3HcRzHqTw8JrqaGNHO8iMia2Llzj/FvPHrAf2w+ObMqo6O4ziO4zjVEjeinUzmAutj8n9NMEm9D4ALVXUOgIgs67pZrNUhY9VxHMdxqinuiXYj2slAVcdjqhhlsXAZ+3uyjPAZx3Ecx3GcXMaNaGdFWJYO2eisjMJxHMdxnEQodHUON6Kd8hMrnuI4juM4jlMtqXZlvx3HcRzHcRxnZXFPtOM4juM4jlMuPLHQPdGO4ziO4ziOU27cE+04juM4juOUCy30xEL3RDuO4ziO4zhOOXFPtOM4juM4jlMuPCbaPdGO4ziO4ziOU27cE+04juM4juOUC/ViK+6JdhzHcRzHcZzy4p5ox3Ecx3Ecp1wUeky0e6Idx3Ecx3Ecp7y4J9pxHMdxHMcpF64T7Z5ox3Ecx3Ecxyk3bkQ7juM4juM45UILNWttZRCRpiLyvoj8Gn42KaVfYxF5UUR+EpEfRWSbZb23G9GO4ziO4zhOVeVCYKCqrgMMDK9Loj/wjqp2BDYCflzWG3tMtOM4juM4jlMuckgnuhuwc/j9MWAQcEG8g4g0BHYEegCo6gJgwbLe2D3RjuM4juM4TmoRkRNFZGisnViOw1up6jiA8LNlCX3WAiYBj4jIMBF5UETqLeuN3RPtOI7jOI7jpBZVvR+4v7T9IvIB0LqEXRct558oADYFTlfVwSLSHwv7uGRZBzmO4ziO4zjOcrOyCX8ViaruVto+EZkgIquo6jgRWQWYWEK3scBYVR0cXr9I6bHTS/BwDsdxHMdxHKeq8hpwbPj9WGBAZgdVHQ/8JSLrhk27Aj8s643dE+04juM4juOUixwqtnI98LyIHA+MAQ4BEJFVgQdVda/Q73TgKRGpCYwCei7rjUU1Pe54x8lFROTEEK9VJfH55TZVeX5VeW7g88t1qvr8HA/ncJyKoDxZwrmIzy+3qcrzq8pzA59frlPV51ftcSPacRzHcRzHccqJG9GO4ziO4ziOU07ciHaclaeqx7z5/HKbqjy/qjw38PnlOlV9ftUeTyx0HMdxHMdxnHLinmjHcRzHcRzHKSduRDuO4ziO4zhOOXEj2nEcx3FSgIjUT3oMjuMsP25EO47jOE7CiMiNwLUi0jrpsThVCxH5jz+gVQ5uRDuO42QZEZHoZ/S7U+1pC/QGeovIKkkPprogIv1DOegqiYjcCrwC9BORekmPp6pRkPQAHMcxRCRPVQsztommREKnpPGVtd1ZGhHJV9XF0Weals92ZfFrYMWJ/sdVtbuIzAD6AXkicpeq/p30+FaW+D0sTfczABF5EDgI2DfpsVQ04eF8NeCssGnvsP0aVZ2d1LiqGm5EO04KiIyr8HtHoAnwBzATSPyGJyIFqrpIRGoBmwL1gBmq+pUbT8tH7BzWA84FVsfuwfcBw1V1VqIDXEFi86oN7EDRtfFRwkPLGaJzqKqniEgD4CSgUETuVtV/kh5feckwlhuKyAKglqpOT3BYxQgG9IGYEf2/2PZUGforSpjDGBG5HDgGWAwcDSwWkevdkK4Y3Ih2nIQJXrzIgH4E2Blb2p0PPCsiD6nqFwmOLz8YSQ2A94FmwJrAXBF5Hri0KnjMKpPwGUfn8CtgLrAQqAUMAu4WkTtUdVSCwyw3GdfGh9jD36pAgYi8BNyiqkMTHWTKCcbOIhE5BvOINgIaAmdjNt2dqjouyTGWhwzP86HAyUA7bI53Aa+p6ugEh4iI3AscgBnRn6mqikgBUB+7fn+oQqsrXwK7AXcDBwOnArghXTF4TLTjJEx0oxaRx4BdgEuA7YA+wH7AgyKydoLjWywidYCPMePvVGBHLH6zJ3CDiDRMany5gKoWikgN4ElgAnAYsLOqbgR8DhwF5FwcbLg2amMG9GzsetgOu24Pw+IwPVFuGYjIgcCDwHDgBmAP4C2gL3B6LsVIxwzoI4EngBHAM9h8bgP6i0jnpMYnItsDJwLfAIPDQ2BD4Dnga2CEiAwGThaRukmNc2UJDwWo6nvAHOBoVT0Ye2g/GbjQY6RXHvdEO04KEJEtgK0xw3mAqs4XkVFAf+B5IGlP74FAXaAX8G0wCtuHfd+q6syoY1VZDq0EVgXWxbyzv8AST90OwEWq+r9oWT/JQa4A+wANgNOAr4JX75Cw7zNVHZ/c0NJNiFutCxwPvA3cGgvrGSgiDwEXABpCO5K+DywXIrIWdi+7Drve/w3b98VWsv5NcHi/hrFdiTkALgcGAzOAF4A/MSPzeqCeiNyuqgsTGmu5EJHDgUJVfT7jPnIp8JyI/Ac4Aks0PDEc4x7plcA90Y6TDtYI7ftgQK8H/Izd7Pqo6jwR6SoiLRIa37pATWBkMKCPAB4F+qrqzSLSVEQOhqqTLFcJtMTioMfCEk/ds8DFqnpDCIm4PsTE5xJrY+EHvwUD+nDMq9dPVW8VkWYxo9qJERIKZwPNw+tZUORFxB5MhgDHYR7pNokMtPw0xULSvooZ0G9h95DTVHWMiKwuIvnZHpiqTgAexgzLU7D/xx+Bg1X1QlW9B9gYGIkZ062yPcYVQUTuB54GHhWRN0VkPxFpGXb/DowCjlPVBVhYx1DMkO7jHukVx41ox8kyIlLS/10hFgM9X0Q6YIku72M3vTki0g04gfBlW8njK+mLbRbQLBj4+wJPYUbSDWE+BwAnisjqlT2+XKCUczgGW1bdIniEngAuUdXrw/5NsDCZDtkZZfkpZV5zgYaqOlVE9sK+yPup6vXB09oNOCt4J50YYtTEQnzWEJFVw0rOovBzHvAL9gDWB3sIywXaALWBHwBE5G1gfWAfVf1WRDYG7gHWS2JwqjoVM6QvxHIU7lPVP8JYawdHwJlY7seOSYxxBagRfn6COWQuAAaF1a55WGhQNxHZU1XnYgmVX2DzvDL24OaUAz9pjpNFpLgKRxfgd1X9E0v+yMPCN7YFPgB6BA90M8xIrQ9MrOTxSSwGehNV/Tzs+gaYISIfY+EH56rqbWHfelj290jgr8ocXy4QO4d1gbtVtUfYNQ14AIt5zwdOUdX7wjHrAtcC44E3sj/qZZMxr81U9dOw6xNgkoh8B2wAnK2q/cO+6Nr4AUg0mSxpSgpzCq8XiGn5voeptvQFFgSvfh0s1nx3YF6SCcZlUcLcPsdCNi4PKyydgP1V9bvw0LAd0IIEbZDw0PckFgf9OSyZx7zQpTnm2Eh1CE107lW1p5gKypFY7Pkv2IPL/Vis/WDgU2BPEflUVWeFVaN3gJ9yMIwsHaiqN2/estCA/Njvj2IekNuB+mHbycAUzGPZPmzrBDwCTAY6ZWN8mDH/LCaxt1ts//2Yx/xz7AsmD/syHBxaQegnSZ/rBD/j6BzkYUumhcCbsf2bAy9j3ttrgC3D5/4VMCx+fNJzKePauAdYBOwettXA4kcnY0lkLbA4353CdTEkrfPK8jnMCz93wpbRzwEax87tReG8PhL6dMbCDaYBXTPfJ+kW/z/HwjdqYzJ2AHWwh8UZ4VpfK2xvgCWfTsPCOhKfR2wO8ftzrfB5/Ah0TnpsyzH2WrHfH8OUf64FBNgsfBbjw/3ok/B5Vfv/yQo590kPwJu36tawUIg/sISs1rHtLTFh/LnA95hn9wsslm2jSh5TdEOtC2yPZXBPDOPYPdbvwTD2f8IXzMjQt0bYn1+Z40xzixlDDTBP0OuYZ74Q+CDWb4uY0TkV8/I/EfsMCpKeSxnXRjcsAe7f8KW8R9hXC7gR+A17EByFGdQfVudrA3tA6hJ7fRym/T4hXBc/AHtiKxP1MX3of0OfmcEI7Zf0PJYxx0Owh6URmFdz9bC9HXAv5kl/D1MdeTpcHxfFjk/VQzfmIDgh3IfPTno8ZYyzBbBGKfseDtfXtUDjsK0pFrpxQEnnPm2fQ640CSfPcZwsICL7YZ68E4G3VFXjS6Ehvrgj9sXUCPNQ/k9Vx1TimCSMoz6WbDIaWIB9iR+JGdL9VPWt0H9XYCNsKfYnzNO6OEeVJSqUEOrwNWY8vwB8B5yBfZ5DVHWH0K8G5oVcBRgHTA6fQarOYca18TVmHE/Hro1jMI/iSar6ephTJ2x1QjCD+n21RNRUzauyCbHg7bHk4M+w2Nsx2IPVQ9iDZ13gLix+uDfwuqouFJOz3Br7/xqjoWiNpFC3OORqPBNaPWCr8HN/Vf1cTJpvO8wobYw9MH6kqs+H41M1JxHZH1tB2h24TUO+QtoUh0TkEmyca2Pn9HLsOlsY+y55CPP6X4+FlY2N/x+mbU45S9JWvDdvVbFhS5trl7D9PMyD1yhje7TUK/HXWRxvFMIxHEumibyqx2CSUN8S80iXcHy18zKWch5OBiZh2f3ROWyMFc5YgBmVpR2bSk9QuDaexFYd1ohtPxh7yPuH4JEu7fik55DgueuKxdW+iz04vwusFtvfClttGocletXNlXOIhWzcjknF1QzbdsSSoicD25U1h8qaE5ZTUmcFj90PGAAcldZzj+VVTMW8/A9gyhtjgK3C/pqxvg9R5JFuncR4q3pzdQ7HqWCCR+434IjgkYpTL7Sor0BRwRXgBBHpoNn3zjQA1sF0fUcDGsb1OHA1sCFwi4jsXtLBGpIlHVYLP4drkXd+Ohbn+hKwq4i8E3WOq11o+NZLITWxB6uvVfXPaMyq+iK2RN8ceCwojixFAtdy4gTVjTxVfRczzHbD/o8KVfWv0CdfTW5tPyxE6jZgb7HiNcVI2zkUKw4zAEskHaYmmwbmDT0H88APEJGto2PUViTy4q8raVyfYffRpc7jslDV14BjVfXJ8H5p85TfhT1sHQScqqonYKuFizD1FlR1QfgOQlWPx+49fYCzRWTVRAZehXEj2nEqGDVh/jOBO1RVpXjFttGYEd1TROrFDScRaYfFSXcpwfiuEEJmfEnMwZJRVoMlX3hRxavHsIIvq2LZ9ttUxtiqCN9hxSR2AlCTKosM6bswr+12IvJy2J+qhw8pQX5RTa1gMSabRfRwEH5/EfNS1wXuEZGdsjjcVBJTSygMhvK7WAXCZkBXEdkblpzHPFWdhBnSE4HHsfCOtFOAhW7sgsXaAnbfUNXBmCE9EnhPRHaI76/kcX2KeWdvYMUN6emx39NkQF+LJZqeq6ofxcb2FZZ70CzqqxYWlBd+Px4Ltzmf8D/sVBxuRDtOBRLzLL+kqjPESnk/JFY8JfLsDsIyvw8P8k+IyJrAxVis8buV4ZUUkU2Au8R0nuPbCzAj6VtgKxHZKxgCi0QkL3g1GmIqC6tjno8lc62OlGRsBn7FYsj7imnhRoZ0PvbZDsOWwLeLGxdJIyKtRKRm3GgI3tToMx4EdBSRHlA0pzCvRpim+QzgVDFZtmpJRn7DxsAOIlJfVd8HdsVWePqIlZ5e4p0NhvTemBf094SGXyYZ/++vAUdjoUs9pah6KQDBkL4Aq/6XNS3ocB77YQoVt1JOQzrznpaye9yP2PXTVUJBpnDtLMZCBFuJyO0icn2418eN6qMxhZdUSiTmNEnHk3jzVpUaGcoKmNpGIXZT3yBsa4wtOS7CYpDfxQzYiVSSCgfmLRoZxlKIeZZ7EIv3w5bl/8K8qXvHtrcHPsKMwBuxxLImSZ/rpD9jTNqtDRb/3Ci2vzemvjAQM5xqY1J2n2FV0lYLn8FxSc8ljHdjzEM+ENgGWLWEPqtg6gu/AD1j29fGDOydsNjYmXjsJcBR2KrTvZjEWJTr8B/sgfVjYPtY//yM41MRh0sZcfpYmM9B2MPTmwQZu4w+rRIad7Nw7hcCpwO1yzNXbCWx1ByQBD+P7mFOL8S+TzbFFFDGhfvOIoqUXy4HDo/PLy3XVlVpiQ/Am7eq2DApuFPD76eFm9oTxLSegcuCMfselvixTiWOJw+TlyoEXg1GUyGW2X0M0CH02yB8+U/HjPuHMe/qsLD/Qix+s3HS5zihzzVKFqyPyXn9EM7je8AJsX6nYV7nQkzBYjqmfFILq0w4DqvelvR8CoCrKHq4mokZ+92BBhl918IM6UmYVvhzWFLTd7E5j6UEI7w6NeBQTB6tL9Axtj1KHo4M6YHAjkmPt4x5xI3K3THP7ktYWNKasfkcjBnSbwFrLuu9sjj+5pgS0kJMIadUQzpjrtH9+oTKHuMKzisypB8L5342cB+m6tQUy225NNy/C4GTkx5zVW6JD8Cbt6rQKC7U3w/zKm9PkdfydIoM6Q0yjq3UL5jYl137MK5bMS9SH0y2rBCTLjsdi3uuAdwUjKlvsAzvaB7vhJtzvaTPeQKfceTJqY+tIHyEqS9sh2XLjwLOifXfCKs0eRm29B0Z4E8H4zMVxmYY/2zMm3gJ9pBUiKlGXELxIhptwxf0R1j86b2xa+NtLDazftJzSvBctsQeMO6LnwdM8k8obkgXYg9aqyQ97mXMqQcwK3ze32IPhRMw+bQ6oc9BmCLH+4RCUVkam2S8zlwJbEmRIV2iR5riBvQZ2ANOKlaJypj3kZjaTyEW71yrlH5tkx5rVW+JD8Cbt1xvFA+J2BnT5VyqGhfFDelKrT5YyjgbY8uAMwhVuDDPaM9gMBViqiJXYJ6mprFjV8W80tPJgQpelXgOC7Bqk+8ALcO2xzHv7NeYh793KcfuGAzoqVRy8ZwVmNedwVBqBrTGVid+weTZfgjXRObDX2Q8tw3nZDqwftJzyfJ5yzTiOob/r2PKOCaSg9sXOD3pOSxjPltjD959ovsBVkr69TDPbmFbLYoqdHbL9lixePL+wJfYg98OsX1xQ7p33JDOeI/TgwHdK+nPYTnnf1D4/3yV4iuccYeOh3BU9ueQ9AC8ecvFFrs5xW/CF2HL4dOAfcO2Aoob2ZEh/SohhCLL4448YH1j2+pjCUBDsfjWf0Ofs8P+HbEM8F/TZvwlcP5aY2W7Dwyvn8TiyNfAPM/TMYP6jIzjmmGG6ntpNDSBvYKR0Z8ir3NtTPe6MBhM/2KhH4fEjtsJKyP8Y3W6Nlja49kk/NwYexgpcQkdC+XpSYZHlATCHcqYW9wIOxEL0emY0acp5pn+NZpLuNctpY2fhfEeg1VBfDUYy3+Fe9n+sT4tw/9fIaZSkRmD3pscMqBj447HSGfdMePNjWhv3srdMDmvG7AYwE+Bw7DCA1tiS7mFwPWx/nkZhnSfYJAkspwfvmwmBcOuHuZp/BpLHmsGdAZujhsKwIGUEu9Y3RrmiauNed7+wpIHo1CNW7F45+nAYRnHNSXm3U9bw8J0RlHkYW+IVaT8BHv4eyRc229R/OFxX0Kp5+rQMGm3QwgJlECvYLw1CP9Po7F458YZx9XBki8fBpolPY+MsV0BPB57HZVqvxFbOYmuibiBfRQwD/hPCe+XFc8nVjJ9PCb7Rrh/zQvbRgL7xfq2xFaNeme8x6mkKNF3Bc5Bd0yi9FUyVou8ZeH8Jz0Ab95yqQXDYjjmmf0k/L4AuDbs3xxbUpyOlUOOjss0pBNTt8C8S4vCF+cvwYDuWErfmtkcW1oay+EZxJJBv48ZHAVY1cfnscIZOVHFMfYA0DUYE/2w1Yno4WrtWN+NY/0Lsj3WNDTM87mAUMAinLPTKQrTOCQYNU9SlLDbHIstngacmPQcMubTEEsSnQH8N2PfbtH8wut4XPfuWALlDtkcb8a4HwJuDa/Xx1YB7sKSO6djnvJ9Y8fUif0u4Tq/AuiR9OewkufiqPA57ZX0WKpbS3wA3rzlSsM8TaOwJfkOmDeyGRbjPIdQ5haLI/wcSx6LKzbkUUIYSBbHH/ce/i/cdAdh8c+pWU5O+DNuVNL5KqVvX2wJePXwep1wPneP9ckJQzqMtRX2cPg78HcwoNcr6ZrNpXlV0rm6MhjSi4mFRkXXEBYeMAPziA7BHqxnAv2W9/rK8nzaYkmi04A7Y9vbYIocc4Duse01gPOwHIqs5EiUch0ehIUiNcWUYx4hqMpgCbDzsIfBI8p43yqRJE0C4YHevOy34ywXIlIXi/uch3ktflHVeao6BVOyqI0lt6CqX2IVuyZgRTeOD9sLNdztop/ZRFU1VjzgSSyk5FNVHZ3EeNKGiHQC3heRg2Gp81USH2BLxiNE5C1MnaIhplxBeI9UVSQsjVAkZAJwHfZQNQnzav1Y0jWbK/OqRL7BVh4UqCsiLaMdqjoDuB9T53kDM6Q/wQqpXAtLimQk/j8XK08+FitL/gJwZCgvjar+jcUSfwE8KSJ3iMgF2EPElcB9qjoyG2ONna9WsW0vqepb2ApgXey8zwu752APMrUoo7Ccqs6ulAGvICLScEWOU9VfwvFu12WRgqQH4Dg5QgPs5j0fi4l8JbZvamjjYIlB8qWInIPFFN4iIgvVqhUmSuyL6DUsEXIrKF5prRrTDvuM+4rIAlV9LTKkSzo3qvqViJyPecPWxuS9TtdQzS+XDM3Y/IYCg4EmWAyvEyN2LQzHZMa2wv6PVETuVtXxoetCVR2OxUtnvkeeJlxOWkTWBaaqVfiLHpLGishVWJhD9zDXU1X1IxGZjeVF9MCM1Z+BC1T1jvB+Wbl/iEgX4EUR6aGqr8V2rYb9/45SK3ldEwvVuAZ4RVX/quyxVQQisj9wrIhcrqrfleO4Jec/6Wur2pG0K9ybt7Q3imJA18AM5V+Bg2P7b8CWQduG1/Hlxh2whK2saaeWY15RQk2XpMeSloatJnyHxTrHk5Iypb8yX8djLXM6VhgLU1kI7JH0WNLQMj/rEvbfHv6PriRWoQ+rVNhped4jy/N5CIsd/gV7AIiUZiJVltUwj+5M4N6MY5tjCjUtY9uyJp8W/j+/wbTM94pt74yF2g3G4qH7YV7oo5f3c0z62sI85neE75IngfVW4D02JyX689WlRTFGjuOUQeRZFJF2WHzjv8AJmMRXP+yL6M2SPJAiUltV5y31pgkT5nITFi+4KOHhJErckyMi+2JL2wJcrMHjtTzetrR59MvyiGd6RKPXItIAe1h8QVV7ZmusaSTjuuiKJdOtg90D3lTV78O+27FCHVdhq1RrYcl6+6vqmwkMvUREpAmm+5yPyVo2wELRxmF5HI9hD5BzsOTYfYHXVfWkcHx0jYhq6as0FTTW+LnP/BwuxTzPJ4b7bgFwCibJ2CHMsb+q3lgZY6toRORYLDmwJnZ9tQZeBC5X1R/KOC5+Xs4FLgZ21nJ4sZ2Vw41ox1lORKSG2lJhO8zj0RBbCu2pqs+lYZl2RRGRAjeki30h7YcZROU2pNNC9JmKSD0sCawjFuv8jao+WsZxNTHZrCer+zURISI9sNjgYVgy4aaYlN2DWhTScCN2nv/CPLa3qOqliQy4BGKG79pYNdIJFBnNRwHbYgbceCw2ejqmxrIt8LSqnpnAsJcgIrVUdX74fU/Mi74mRYZ0PpYIuSowS1VHhL6pvi+Hh/aXsPl8hD3QnIetFL4KXKaqP5VwXPx+dTpwC3Cmqt6TpaE7uBHtOKWyDC9eOyxZqAGmL/pK2J7qG7ZTnGV8xgcAl5ODhnTMYGqAKW4swgzoJpin7gVMgnFeScfFXvvDlcjWWA7BzcAjqjpJRNbAjOjnseqkU0Lfo4HVgR9V9eWwLTX3hNiK2rqYN/0vrFT9B2H//lhIQHfMW71a7PAdVfWzLI/3AOBSVd0kvI4b0nthhmMTLGzj/RKOT+3/qogIpnJyH7Zy0U1Vp8f2XwZchnmkr9BYAmcJBvTt2P/zg1mbgAO4Ee04JRI3rkTkQKAFllDzDDBdVeeJyJoUSVf1iRnSqb1xO0VkeGp7Y8mBk4Ehqvpq6HMg9kUmwEWq+nrYnvrPOCxxP48ZGSer6s9h+4tYktguqvpx2Jb6+WSb2IPIqcBJWGjG6LDvOWAbTIP4OxFpoqrTwr4lRnOaDOiIDEP6c6za33kaS9QTU4jogBUz2Ql4WVXvzvI4C7DwjNuAL1V1h7A9bkifjlXZnIrJib5S2vulFRF5DVhFVbcIr2uq6oLw+3OYhN8A4EpV/SXj+nIDOmFcncNxMgg3qciAfh7LwK+JJX6cD9wgIi+q6mgR2QozpK8NN/dn3RhJP+EzXhTz1Ar2RdwOOFxEDlLVo1X1ZRFZgMVIXykidVX1uRz5jBtgOs/3YV5TxOT79sMe+j6WEK+fI/OpNErwwMelDdfCtISjc/gmsAGwj6p+LyK7AFuIyL2qOjNuNKfNgAaTJwyG9M8isg0mX3dDOAcDQp+ZmFLLUBG5I/KQVtZDQVjZa4tVFfwJmKCqU0TkUUwR6WYR+UJVt1HV+TFD8y9MKWQB9rCYM0iRFN0o7PrZCnuAXxBbAfoTW0XaF/hDRK7AwomiGOhrcAM6UVxP0HEyiD3l98cKp/TENF+bYYUorgDWDzHSf4Q+7YHzRaR+IoN2yoVaclRUYXACZhBto6qrAGMxrdzdQt83gEuwZJ+9kxpzeQhGYFtgXWBk+GI+EvNMX6aqN4tIHcw4+U+SY00LIrJ6aKtoIOz6B2grImuKyABgI8wD/b2YfnxX7B6QM5KAMUP6F8yj3hK4XiwXAFjiCSZmQEslGdBXYv+HH2Ex2kOBgSKyp6rOwopZnQ+sJyJfRAZ0uMbXwVYHu6nqwxU9tooi46EMWFI3oBC4G7t2+mAx3oQH/JpYzs0pWBGZU4CG4d61NpYUfpYb0AmjKZAI8eYtDY2YNBmWoDIUOIuicr6rYXGljwO148dgcZBeMSqljVj5corC2NpgxVKOj32O+2GenrPD67qx47YjpZX6KJJhjMtdNcQKBN0Z5lhI8Yp5uwIDsTCFxOeQ4Lk7GjPEFmBev+mYh2/TsL8B5h2dh3k+24ftdYBjsUS8Y5Oex0peNx2wsI7h2bweMANyPFacqguW/HpZ+L9cjBmJYKF0J4b777dY4t11mEpSj9j7pU7GLmO+u2MKGjcDnTCjGEyWbzbwYbimtgLOxaQI9wR2Cf+/W8feq13S8/GmbkR7q94NqIclbUSvoy+VdcMN7KjY66mYbFXdsO1ETDs61Tfu6t4wvd77gXUytm8avpi6htdHhNd9Y9fGxcBOGcel1ZCui8WH7hDbdj+m+bwQk8sCSxhbByv9/hpZ1PlNWwNuxcIBnsFWnE7HPJ+FWLzwnqHf4Zh++F/Af4LRc2W4R/SNvV/O3Qti97x1glH6D7BmFv7uccCYYCTWyNi3JZZQtxA4JmyrB+yPKYvMxUqOn5v0+SvHfHtg0oG/h/FPDNdbo7C/C6Z/PRMLYZmChV2BySeODp9Rtf1/TWPzmGinunM0cImItFHVXlqk1DAPu4HXC0k2X2Blnnup6hwR2Qj70p2qqn8mMnJnedkQqxyXJyLXqervYfu/2BfV+iKyCvAwJjN1fdi/A7AbJme4BE1RJcIM9Yx9sC/ltiIyX1WHqOqJQUliV6CViGwPbAEchukD76S2PJy6BLjKRkQeALphy+Qfq+rksD0PeB0LMbheRKZhYTDTgQuwkIM6wBDgfA2SYrl6DrUotONXEdkSewgbXVl/LxZ/vgu22veZqi4M+/JVdbGqDglhHo2Au0RkmFoFyFeBV0M4w1xV/Sccl7pzn6Gg0QzzMJ+PXVuzsOvoFqCOiDyoqh+KyOZYHkMj4DdV/UlEtsBCPd5S1V+TmItTBklb8d68JdmwONfLMM/TI7HtecA92BLvXOBBijzQzbGqX0OANknPwdtyfc69sOXhx4iF3QCPYkv4hZiMXfTZtwc+xb60U+n5ociD2CDM625sSbgQeIviS78PUqRxPASLsYxCWHK6wuIKnru7sMpwO1AU3pP5c99wvl4gVPML2ztjK1DNYttSdY2wAh7xzOtgRd5jOf9OHlaS+y/CKmD8/FE8JOlgzJlxQziuRgnvl2rvP/YAe3G4n6ybse+V8B1zAdA8Y19TLP/mN6x0eU7Mt7o190Q71RpVHS8i92DqDJcG70EPNe/c81gYR5TBnh8y8Y/HEsx2VNW/Exu8s0wiT62qPigi8zGjeYaI3KOqP2KxlfWAg4CFIrIztmR6AqbIsoum1FOr5kGsi6nDTMAMw+eAPbAv5UIRuVpVv1TVXkGJpA2W8T9PVVWqoQ60mBbyKZhqyXANlkn8Z7gPvC4i/YBrMZm398L+kRnvVykJd+Ul7vmMfpaHzOsgdh4qVLklnKtZIjId87qixRVNlvxdVX1RRPoAm4c+S53nih7fyiAivYGHVHVuSCZsjD3g1gV+1SKZyUgV5wAReQVz5OQHhZep4e3yQntZVfuE41J3H6r2JG3Fe/OWhoZlp1+O3aQfj23fG/NEFWKxgr9inrwNkx6zt2V+pnFP7SOYkVmIeRcfANYO+1tgyaJjMa/0YOBpcsBTixn7fwNbZmzvTZFHeqvY9hI9ftWpYWEsj2Ne+zOBJmX03QSLY70y6XEvY05x7+12WEL0ZcChK/gerSpzrJi87gAszrdTKf3yws+3sWTCfIpWCVLl+Q9j2gGrNrhhxvYtsUTJQqwwT7Q9vrrxRti/WcaxNWK/p27O3twT7VRDpIRiCKo6MXikocgjfbRaOdn/YdnUa2FLa6M1xE866UWLPLVfYQ9Aj2NJSTtiSaE1RORKVR0FHCNWPKc+ZpROU80JT20TLH7yVygq1KCqd4rIalgM5jwRuUZVv9YMj18yQ04WtUJJx2NevhswJ+5jGoqlQJFXV1WHicgUTOkktUSfpYj0xJIlx2IPj6uLyKFYCfIvSjs+I363N7C1iJytqpMqabyLROQGTI3iTBE5VYu0+aN7cqGItMDO/VfY/2ZtTEM6jd7YYZiiyzgR2Rb4TlVnq8V3R/KSp4nIdFV9Sk3vupaqzlfVfURkb1X9Ov6GWhQrnorVDqcEkrbivXnLZiOmrIDdlFfL2N+aEjzS3nKrUeSxOheLvdwgtq8A89RGHun1ynqPNDcsMfZfTLUg8rxHkoxdsQTZyVgMf7OkxpnGhpVcfjKco7MowSONeRenYLrQiY95GfPpgsV598E0wmthcd2FmBxc3VKOi3ugoxWM47Iw3vrYQ0whVnWvScb+AiwZLwrjmIiFLZX4/5qWhhVsWgS8Q3GJzC2wh90RwJGx7bUyjnePcw4190Q71QYpXsr7JizOsbOIDMGE6weqxUjfGw65VEQWqurx4RgvjZwjxD6nRlhs86TYvkUich+m2nEcMFtE7lOLkS7pPRKnjFjI17FqimcBP4nIrxpKBmPxmPdjS8xXYDHAUyp/tLmBqi4MnlsIiiwi8riGmFSxcvC7YEbPz8mMctnE7ktdsbCHx1V1fNjXC5ORe05V55RxbLyE9AlagYVLSlvNUdVZ4f+wPma8dwp5KK8B6wObA5di1/cP2EPBP5n/pylkCjafa4GnReRINY/0VyLSHQsVOz98Hz2uoYR5RCn/505aSdqK9+YtG43i3pbnsbCMPlilsanYcmEPglcA80hfgnlA7k56/N5W+HM/H/PUbhhex1cijiFDmSONjaLY7JpYouuOhGI/YfuOmAfyYyxBsgVWYfNLTGGmERbX2zeJ8ae9sbRHulHY3h0ziE5MeozLGH+06vIuJoMWbX8TM6Cja78bcHTmceH307GVmV4VOK5jY7+XmleAec17YWFUizGN5NnhnnxGafNNQyttLFgIyvHh3vMqVjY+2rc5ltw7lgy1Dm+519wT7VR5Mrwtl2ISVUep6pch/q8hplpwHaAi8pyaR/ohTF7ptaTG7iwf8VWGDB4BTgX+KyK7ZPSpBfwXMzY+zsIwy02Y16KgrPEsZkQ3B6aKyNnAR6r6iVi55icwJYA8TIf2T4KHDyvg4BqzJaBLe6RVRGZhiahXqer9kN6VqNiYRgFdRSQfS4beECtn/72Y1v2uQFMReU1VZ8TuiZEH+iStoBLSIrIT8IiIHKyq+4ZruDSP9FjgQbGS6htgRvWvwEQNmu7xlZi0fAYZ3ytrYis/Y7F8ipki8hJWtvt2zCPdXc0jPVREDsOkNlO7wuEsJ0lb8d68VUbDMrnbZmxrhC1pXxBen4V5PfbC1Dn+xJZte1BU1juV1em8FftcI09tbaysbi/ME7ta2N4d82x9jKkttMWqFX4O3Jv5PmlpFHkY62HZ/R9iS/btMQ/XKCwcpUHo1wirrHdO+BmpGzyNrbyslsQ8cqVhHunHKIrBvTi2LxVxqpThhQ33sfFY3PBYQlnoMK/jwv3t8Ixjopjj4yt4nM2xlb45wIDY9hL/x8o6v2XNOQ0Ny0v4LdxjfsJCp+qHfY3DuZ8JvEzMI50r8/NWdotu0o5TZQixjDdgIRnPqeoLsX2bYF80q2Ie5quAR9Uy9q/D9HWnYMuIz2R98E65iDzQwVM7EFgNeyASYBBwo6q+IyJHYLGVrbBl+wWYsbGFplh9Q0QKsAe/1YDuqjpZRF7EZLPGYJ67s4FXtUhfNjp2H+wLfndM7/q7rA4+BxGRmlhhmh9UNYqTToU2b4bnc2dMv7428JWqvhGuleuxSqojsKqUawLbYve5K1T1hoz33BSTenyBCkBEtgZGquq/ItIUC2m4GnhHVbuFPmlXvCmTjM+hCybVdx8Wj34U9j/5NnB2OA+NgQOAe4H/Af/J5fk7xfFwDqdKEYypTzAP88dYnGCcb1VVReSA0Od1VZ0X9i3CvHbtgG+yM2JnZQgGdG3gI8zb0x34A0sIuxToLyJnqOozIvIu5nmrG/reHY5P1Zd6RmhKPWAG8GEwoJ/CDOi9MdWND7B5ForIq6o6PbxHQyyMozVWxnkkzjJR1QUi0lMz5NaSHhcUk7HrgVWnnIx5mS8RkacxQ7kvRf8Hv2PVVv8A+qnq7eH4PC0qIPQNFXSvE5FTgTuB3lGCZgiJA7haRAaoajctI7QjF4h9DqthoVP3AZeoFVh5HgsR2wfIE5EzVXW6iLyKlYrXXJ23UwpJu8K9eauohhlHQ4D3sezuaJl/qZAMLFZ0OlZ1EMxD+RJwTNLz8Fbuz30vzCu7G8WTpbpiS9jvA6uWcmyqwnUokqlrjsWogsW21sASw34P84xCNe6jKPxgn4z3qgE0TnpOWT5/pSV6lTsco7T3SnJOWDXNUVioxOpYaNJxmENgYLiP5WOrMXti4Utrr8x5KOdYv8BW8k6hKKShKZbgO5/lCO3IhYaFi83D9OevDNtqhJ+1sYTesZiEZsOwvWbari1vK9/cE+1UJXpjy/jnYEuKCuatBBCRZqoaSXwNwTw5t4vId0AzbHn0oqyP2llZVsGMiZ9ViwqkqOq7InIVJvO2OvaFVwwtORkxMbTIsz4QQEReUdXvw+8bY9f3MC3yjs7HYjAV06WNv9dC7EGxWpCxzL4GVogG4EfNkBFbnvfAznXi8Y6xOe2CKbR8BzytlpAH8LCI/IPJHZ6hqhdhmspvx9+nMgt2xP7nthErThWFwjyhVdMjvQgLF9sWe0hALUG1plpo4NmY0shhQEMROQpLUif0Tfy6ciqGvKQH4DgVyGbAdFUdHr9JiUgvEXkBGCQib4pIJ1UdghXimIyVyW0AdFHVnxIZuVNuRETCrzPCz91FpEb05Ry2fRJ+ts/u6MpHUFSI5vQfLF77MOz6jFBMUWQTESkQkXUwuax/VPXKjHlXO2LG5tGYATkIC3f5WkS2FZEaZR2fYYQfCuwjIqn4jhSR1sAz2LzWJlzzYuSr6jtYiEfPEGawFJVpuIVrLz/8vh0Wk309cLSI1FeL138IuBjYQ0Rejh0npb1vWlHVL7Ewqs+AU0XktLB9QWRIA+dhn9d7qrrQDeeqSbW94TpVi2A8FAD1RKQZpv28Drastgvmkfsj/P6mmNzZABH5DFuWy1fVmUmM3Vk+MmKF40bBq1hWfG9gmIiMCF4hweLbx2NVC1NLzAP9CnatTooe6GJxuU8CJ2NLxGMxD9g8TMYvep9c9OpVGCJyMLbycBO22lQL00D+ANiDooeqzOMyi470Bw6oLM9teQhG6HgROQUzzDYEtgI+CGOO/ifGYiFtWR9zOH+Lw0PsQlXdrgyPdCFwk4h8qKpd0mxcZlwXtbBQjVmqulitnPcV2HyuDl3vjhvSItIjuoYyVjmcKkIqnrIdZ2UJxsMNWPGU54EXgU+BjYE7MIN6a0z6qyXmEQHT9JztBnS6kSIVjnoicoqIXCIiG4tI0/DZH48l0T0MHCMia2Ee3Ssw+alPkxv9ctMytMOAVUOSLGpJYPmqOgor7TwY80R+CmwV9wJWV4JHtiH2kPEgcLOqvqGqL4UuE4lVrYx7mDMMpTOAW7GqfQOyNoFSCB7x28LLdzGjdByWMLteNA8xVZFG2BzL9LhX4NiWeJBjxuGi2LbSPNKPApdjkm+pJeO6OBDT3v4e+FBMyQlVHYxVJvwfcJ2InBy2L4g9/LoBXZVZVtC0N2+51IAdgF+wL81nsWpudWP762Ie6SeSHqu3cn+29bEv5YmY6sBcrEBOpAe9NaanvBDzDv2JLbdGCT+pSiIsZY4dMcmsecChxJKvKEo6rJFxTM4maFXwuWuMhcGcEdv2BsWr9nUhJLyF1/GkvTOo4Kp9FTCnS8O1vHZ4XRNTfhiFJZleAByBOQVmAedlaVyZCbzXY0bxVUDzjL7/wx76TqIo2bBWSe+VxobJRM7HEs9vwyqBzgI+jfXZJvzfzgXOSXrM3rLX3BPtVClUNfI+b6Cqh6vqJ6o6B5Z4TtpjElDfxbY5KSb2GfXGjIddsc/xbsyI6Csia6jFKW4EHIJJ2R2Pqa8sDAlMqUkiLMNz/DOmvPA5JhfWNYpzVvPECzFvX/BwVesQjhiChW9E8eVvYqEP+6pV7WuDhUMcFfbHPY29MQOpwqr2lWvgIicHT3omb2LlsA8C83BiHukzsEIm12Gydi0wA/rm8H6Vel+LnbdjgeeADpixfyTmqW0V67sdpqF8O9Ar/C/Oz3yvNJB53kSkPfZgcB1Wxvxs7KHhUmBjEXkNQFW/wDzSQ7DPxakuJG3Fe/NWmY3iskJNsOX+UcAaSY/N2zI/u/yM1/2BCzO2XYt9ed8FrLM875N0o0h6sQ4mz3cWtoLSJmwXzCgZhHnd907bHBI+f6XJ2NXBVp9GYiEvf1LkgS7AZNe+xwrPxI/riz2YHJfQfB4M1/D60dzinzfm4RxOce9vTWBfYCjwI7HqrGSpumK4LicSvN9AZ6ySZrQK1Cqj/3Dg5KSvnzLmcxLQOX6NYatbs6NrhqLVoAbAjZhHevfYe7RMeh7estvcE+1UadQ8N4jIrpgn5AAsYejPJMfllE1GDPTFInIBliT4S9hfF0BV+2FLyacAZwTPUTE0ZR5otRjmBlgZ79uAC7EiP/8VkfVVVYFfgROx8JUHgP3TohSRJBne4w4ispmIbBq2z8XKdjfDPNA3q3mg22IrEzcBD6vqR9F7hbftiC3BP5zAfB4CDgR2U9URwFqw1DV7K9AGux6ic7AAeA+LLa6LJUu3C8dWemKhiDQC9gMeUdWbRWRDLMzhOWwFqBnwiYi0iI5R1Q1U9d7KHtuKICI3Yknop0Ax73gN7OGsTngd5Sf8i+Xg1MUeHgjHTQzv5yuc1YWkrXhv3iqzYcu7nwM/hJ/rJz0mb8v92dXDwhvGUuTh+pqiQiPxuMqrw/5zkx73csyrLuZB/IAiz9cILMxoYHSNUuSRHg68kfS409SAYzBv51xMiWcwsFnYdwDmnZ2AVS39JvTtGzteSDgWF7glXNebhteRitB7wP4EryZmkH4NvBIff/hZA/MIj8JUaJpX0ljjXvA1ws9TsOqZLTDv/yOYhzwPeCr8P44lrLCU9F5paGHc04FpwLMZ+9YCRgNvAe0zrp81wjk/Nuk5eEuuVXvPhlO1UYu9OweLLz1YzdvjpBQprnN8JpY8tTumrnIrppH7epCQmh9kp1DVizFlhv5ZHvJyEXmmgje5L6aicKyqjhTTMG+MLetvgSkvdFJVxZRF9sKqFVZb4p49EemKxcM/A/QALsM8hW+LyP6q+krY3g9LKnwYC9W4Lhyfp4GsTiKGiNwBnI3FO0fyi5OxMTfE5jdYrJR2/bB9PxHZCYo8pWoFdd7DKgI+papxXfEKI/p7YiXHHxPTKL9fTW9/B0z67W5VXaDmCR+KxUEXYNKCS71XGhCRB7GVgP9gms4bikjD6HpTU8S5H5vDeSKyQTi0PvbQUxNLVHeqKZKi69lxKg2XGModRKQecCrm6RmlqreG7Q2xAjmnAF8B+6slDdZWK24QHZ+KKmjBwC/A1DSmx7afhSnGXCsi92KJSvsEg/o+4ATMI91XVYfGjiumk10dCQlrm2KhBOer6qywvS2mo90Ok/2bUMrxS2THkiIYbgdjDwF7YB7zA1R1XKzPvtjD0yGYt30M9gD5uKr2yZxH/NqoyDlmhM+0wzz+N2BhMdPD9ouwkKR11PSsa2BhSlNDvz8qYiwVTfgcDgIOUtUPReQGLOxnXVWdkTH367HchYmY2kgDYGfgWlW9NonxO+nAPdFOtcAN6JxiD+yL+lRC2eXwhTYTS+a5B6vU95IUVQdbQkoM6M6Y53wI5lluFO1T1duBW0RkXcwDdgm2HA/wGiYHtiUWskDsuOpuQG+PaSQ/BMyLDGgAtRLYZ2Fe3H6xY4rFpqbAgH4AM4z3BE7DVk7aAK+ISMuon6q+rqqnhH5XYSsVLYAjRaRZ5jy0eBGiCptjzIjcBVO++RCTB50e6/Z6+HmViHTDHnKPBL6JDOi0xQiHz+EgzAs9KGz+HQudaQs2dymqwnghFpP+EbAJFnrVOzKgPV+h+uIfvOM4iZPxJfs2thz/L7aEvUZs+Xo2ZkjfjenlXpPloS4TEdkOkyFrh0mUXU+QpYu+bEOY0XqYt/1LVZ0bzsEamN7uCdhyf7WlBMNrNqZU0QhoFfrkxc7pt1gMfbvogDQ9PIvIVsBmWLzzl8HYvYOixMEBkSEdvLmo6leqej9FD1WKqUhkc9zrYImvz2HxzZMyPpufMFnGw7AiV1cAN6jqq1GHlH0OlwHdgQNV9aPYQ8cITB5x1aivWnJzdH09rqrHYg/wR6nqo+H9El/dcJLDwzkcx0mM0kIUQkhHdyyW/Tnggozl7gZYMZJH0+ShFZEtMW/dw8Btqjo6bF/qi1ZE1sOWhl/EvKidMIPq8+D58hAOQET2Av5W1e9EZGssx+Fg4ESNaTqLlU1/A0sQOwJYnCbjDUBEWmqRgkOeWjXKPCz+/xwsEa+bqk6MwpIyQjU+A2aq6l5ZHLNgRvKx2MPL5qo6OvPaFJHVMP32aeGBJpUGpoisiSVgfpWxfX1MAvEIVX0uI5xDgFWAqZkrX071xo1ox3ESIWYk1MGWVptj8Z+PqiUNCraE+l9KMKRj75MKQzN4EV/CZPjOjcWM1tQiqcX/Ag+o6nARaYyFHpyCrQrOwoyordIQkpJtYslcGtvWAEuu/EhVDw/bNsVCYLphxXZewM5fF2yF4sTIS5gWSsvJWA5DOpJ6lBBecD2wG7CHVkISYVnjBE7HkjjHAl1VdVzsf3ip41JqQJc6pnCt/Y0lSF6YYUQfhYXf9FDVn7M3YiftuBHtOE7WiRkPDTBvbA3MiK6FfZH1w8I6FgHHYbGjzwKXhPjX1CEim2EG3Rmq+kbYFvciPot5z6cBOwdDuiW2xL8Floh1TzCaUpEcmU1EpF1mElow3m7EZNz2jwwYEdkEM6T3x+KkvwNaAy9okQpHTiQTl2JI/4klvE2I9VsLe0B7IMRLV/Q4MpMImwALgOmq+ndsfGdhyZD7qSUSpuIhtiIQkV+AYap6WGzbocATwC1quvSOswSPiXYcJ+sEo6EWFjM8BVt+3wiLE26GebzaBkPyMcwLdiwWK51WtseSvwZFGzKW4bfBSpf/BQwSkY1UdaKqvq2qV6rqncGAzq+GBvQzwJDwULWE4DV8AVgXk1KLtg/DtMGfBVpiITCbaoaMXbbGvzJEBnSYa3/gZkzS8SMRqROLP56HhQidAhWfrBczoI/BQpI+AIZhsdpHxsZ3K/bA8rKIrFIVDGgRyQ8PCX9gISmISIGIHIapvlwTGdAVfd6d3KZg2V0cx3EqjpjHa0ssiedU4PtgTByKGdE3q+pvYEl4IvI0Ji/1VlLjXg4WYY6JGlA0T7EM/6+AU9Uq6I3AYqY/Dh6/mfEl5qpglJQHMamx3bFkrX9FpFb4zPNUtVBVBwcj+zQReTMK6VHVb0TkNkyj+EoR+VNVn0iLZ7Q8nvC4IS2mIV0XmKBWhTHq8w+mB11poRIiciBwH6aO8yGmCnIi8ISIzFDVN0JIkmKrRR+F8Jq5aX5oWdZnEXvYHQ70DKFWewCPYwb0lWF/6kJUnGRxI9pxnKwQM25qYMvEq2HJOj8H46E75vXpp6o3ikgT4BRVvVZV52Dyb6nRgS6BYVjxhdOBKyMDOsz57JgH60tM+q6YfnR1RETuwkIyDlLVj8Uk0o4LhtpgLE4czKDrhnmkx4lIDVVdqKpfichVoc9jIlJHTc0icWKe3dOAhpGXvIz+cY/0kr4lGYCVZEDXwVRhnsY83jPC9j6Y/Nvf4W+riNxJkaE/p6LHUhGIqaEUYFJ7c5fVPzAF+x8+GlsRuEZVrwjv5wa0sxQezuE4TqUTDIHFYgVTnhTLhP8LqzTXUkT+gxnQF6nq9eGwHYADRWSL+Hul1IAG+BUrL99TRPaBJRJZkdashiXjztjDw5eJjTQFiMjNWFLlA6r6cdi8I6bT+z4WRtAveKYfAr4gaECrFdmJEhGHAVcCn4XjEyW+3C+mbX0T0EBE6i7r2JKMtCx6eOtjhWxGxAzoNzHZxYNUdZiI7CAim4cVgutV9ZHQL1UhDmIydg8B5xHkEJeTn7CHg/64Ae0sB25EO45TqQRvrIpp376LJSwp5t36FNP+fQdLyItiWjtiX4C/AF8nMvByoqqTgOOxuOgrglc1vlRcgFWduwu7996ezEiTR0Qewjz2vwP7i6kfoKrnYrHj3bDwnT7A9yJyP5bMtkrwMEbvExnS32LhIEdlcx4lEfNAt8bi5J/GdJPT6rGtF36dgxURiTS43wA2wKppfi8iqwM9gY3D//IS0hTKEbzkJwOPAldp+Som/hJ+9vEQDmd5cCPacZxKI+aBroV5eH7HvM0jQ4znQ5is3d/ATyLSVKzk8WNAPeAYLVIuSD1qZboPxsIO7hGRW0Skk4hshBmNT2De993iXurqhFi1uAMxY/kELGTjUhE5FkBVF6jq65jBtgHmle6A6YZ3xqr4oYGYIT0mvH/iXlGxCn+/Ygmzf0ee3bQhIocAUdnqxVixmgNF5HMs0bermj53PnbetwFGq+rCRAa8DESkLxYedDzwX1X9JmyXjH5L3U/CvWoEsJaq3hz1cwPaKQuXuHMcp1IJHtjPgA0x6a5dVHV8bH8PTHVjO6zk9QRgNHBAWLZPRaJYeQhG8x2YfF0+Fmf5LSbFdoKatm5aY7srDRG5AFNe2VdVB4ZtXTAZu4bAFar6VNi+5PyISH3MO90DU0/oqqq/LP0X0kFITHsB2BV4DyvgMS3RQZVAiCe/CNhAVUeKFSL5BKugeLqq3hU86ntjeu2XqOqtyY24dEIOxXPA51hM+YLYqkBTLAejATBSVactK9nQDWhneXAj2nGcSiUsF58NHIWFcnQJX9i11MpfIyKrYN7GppgBHal15KyhKSKNMCmwjsBCzIgel5FwWK0QkRbAapGHMLZ9Fyx2uFRDOrzeFdMPP0BV38zeyJdNZJTFfjbBVFj2xmK/n1UrW58axCpAvoCtCF0THlo3Bl4PXf7FVopaYEVIrg/HpU6DW6xi4ggsqfeW2PYemDzmTmHTOKzk92A3lJ2VxY1ox3EqnWBQ9sS8kN+p6s5h+5JqfiUcUyW/4KrqvJZFSQ8OcWOsDEM6jxC9EV7/Arykqn2zOoESyBh/Uyw0pSCKfw4e6eeBzbEHyReTMKQzjV4pXgToCSwhs7OqzgrbWmKe/07AcOD3KPkzrddv8KL/DxiIaVkr9vByAvAP8AAWUnYwdo1tFELKHGeFcSPacZysIKbM0ROLwfxCVXcL26ulV9YxyjCkL1fVpzP6boEZSmer6l1ZH2wphNji04FGmELL1ao6MuxrjHl7NwfOAF5OyiMtIqvHYscjXeqNscTeR1S1b1lGctoM6HDeh6vqT+H1qcCdwHQs92AR8BTwsKoOCX16YCsEx6rqEwkM26lC5ESyjuM4uY+qzsS+vPoB24jI+2H74lxJHHQqnozkwI+wgiJTgWtF5LioX4it3w74MGUG9IFYwugoLBRpS6yQzmYAalrgh2CShvcCR4a5VOaYlkquFJG9gC9F5HkRWQ+TtCOMeQjQVUQaBMO6xOTMlBnQt2Mx0P1EpD2Aqt6NeZpfwJKTd8aUNobE7jF/YiEqU7I9Zqfq4V9cjuNkDVX9FzOk+wJbiciwsD01X85O9inBkL4IK8izKNZnEfCQqu4BJSssZItorGEM2wPXAyer6v6YR3oU8ImIbA5LDOkjsNAIyUKcv4hISxGpKyK1w7bfgWewZNdPsSqEOwflkH6YEsoxYbypXqIWU/tpjoVsdAduEZG1AFT1ZeyzOFlVv8biuqNiNrUw/fk/gDFJjN2pWrgR7ThOVgmG9CNYaeGp7oV2YClDeiCWgPo4FNOD/jd6ne0HLxHpGxIbo7EeiFVS3AAYpqrzwr63sIfEH1jaI72jqt5XyeM8A9Ne/x3zug4RkROASWo63OsB92DJgh+KyCvALljsdncRWaMyx1cRhITkQZgxfCWwNXBXzJBWCcRChRphKwIXAPerydk5zkrhMdGO4ySCWAW3ueELL1Wxls7KUZZ6w7I+6xKS4BJVgggG/MZY0Z8rVPWK4NE8EvNANwMOU9UXMxL2dgWuBrYAtlPVwfH3rIw5icg9wH7Am8BQrLjPVlji4GvAjar6eejbDNgHOAlohynJFAIbp9nAzDCMv8OqDD6GVTz9HJPmG51xzCHYeTga04++JvO9HGdFcCPacZxE8S+yqkWGkbMJsBZQC/hTVf+X6OBWAhF5BpNJ20hVJwXP5n7YisrvQDdVnRp/SBCR3bFEt/4hXrcyx9cPCyU5FvgsphBSHzgVM/gHAheGMIfouNUxeckrgNdU9YbKHGdFIEEeU0SOBs7CEjZXxULFBmHVT0eHvttgyaifYeFAj4Xt/uDurDRuRDuO4zgVTlBBuBmTfWuNJXM9CZyZS8ZL9FAQwjeexNRlrgsJsfWx6ov9gcHA4ao6PcOQbquqYyt5jE2BF4EvMJ3k+ZlGooj0xgqm3IqVU5fSVHHSZmCKyDWYvvNQVf0ytn1dTFnkQVW9RkQOB+4HPsY80n+EfpsBM1T1t/A6VfNzchc3oh3HcZwKJShBPIeFM7wMzMOS1q4CLgRuyrXVB7HS119guUTbaCh9LVZM6CDKMKRDv0pbcRGR9YFhQHdVfSFjX3xl4G7sc9g8koWL+kBRLHGaPpuY8T8L8/gPw2QQ/1LVWSJyOnAJsLOq/iAih2Ka0B8B56rq7xnvl6r5ObmNJ/Q4juM4FUJMGq0b5g18WFV/VdW/sFCI34CBuWbExGKdrwI2wsIjAFDTfH4JOBNTvnhJRJpkejorec71gPmYoRnJAZb0d1/G9JO3yxxb1C9Nn02Yx1TMcBZMum5r4FngKRHZAJMOHEFRRcIBwPHAHsBDYvr0S0jT/Jzcx41ox3Ecp0IInsyawLbABFWdBCAib2KqEAer6tci0jUke6UOETlCRFqJSJ3wOi8W9vAdZrAdICJNYgoQkSHdB1O62DHLwx4FzAYOB5MDjD3QxD3NHwAzgZZZHt8KoSYF+DL28DIR6IrFof8XqImtDBwLbAocK1YBdT7wKtALK7U+M4GhO9UEN6Idx3GcFSJuqEWolXH/DVhHRApE5DVMBm4fVf1eRFoA+wKbBoWW1CAiB2MV7oYB9wRP5xLPpVq1vzsxI3mruFczGNIvAJ1UdUBWB24e6P8B+4Y5ZEoGxhM9FdOrzgnUpAPfBs7FEiAfBt5T1T2B3kABFi60JrBhOGYR8JSq3gslX6eOUxG4Ee04juOsEDHjbHsR2Tq2ayjQCfge2ATTfP4uxBXvB+wFDI4UJFLEJ5gk3ceY/NsQ4H4R6Rbr8zLwI3CBiDTNMKRnaVEJ6qx9v6rqXCwuuACr4LdX2K7ROEJoxLbAeKBSEx0rmuBdfhs4BZPtGyAiq6rqo5j3fyfgOFUdGjtGS/rdcSoSN6Idx3GccpERKrA6ZuBcLiJbAgQd3qFAR+AN4B8R6QCcDNwB3KOqr2Z73MtCVSeq6teqegTmLb8NOACLc35RRA5W1WnA45h2dHso2WDOtvqDqo7Eiol0APqLyHlRcmP4jHoAN2Iyb99mc2wVQcyQPg0rFPNGUD6Zqao/q+qbkGwlS6f64eocjuM4znKTofawO5ao9iBQAyt2caWGwiJi1fA2BxpisbizMCPu5rA/dVJjsSTC6PWmQBdMi7glVnTlUSys4+VgcKeGoIv8OOaxnYLFEudjn9PdGnSgc1WlIsTc74U9jE0A9q9sCUHHKQ03oh3HcZxyIyLHAPdiurwKNMK8nW8DV6vqF6HfNsA6wN9Y6envw/bUGdBxMo3MoPLQCzgYU+GoASwCNozLxaUBEVkVU7HYEWiArQoMV9XPwv5Un/tlETOkbwP+xeLtxyQ7Kqc64ka04ziOUy5EpD1W/e454HItqo53BlYZb1DYPqSU43PKCxp5p2NhLMdhRVbe1EquRFjR5Nq5L41gSO+Ded17qeqzCQ/JqYa4Ee04juOUixD7PAg4QlUHxEMgxMpPXw28DlxTmiGdNCtrTIpIY1WdHn5PnWe3qhjLZSEitYA2qjoq6bE41RMPwHccx3HKy2xgDhamQfDS1gj7/guMBrYEzhaRdomMsAwy4ro7i0jH8hwLEDOgJW0GNFQPRQpVnR8Z0J5Q6CSBX3SO4zhOmZSgs/s7MAY4UkQ6BUNyYdjXChiHFR85BNihlPdIhAwDujumC31BiCNeJpnGaXUwVnOBND7IOFUfN6Idx3GcpcgwemuHGFRgSQGMnsDqQH9CGelQPGUHoBZwDjAYOCFNXsKYAX008ACm+3yHqv6T6MAcx8k5CpIegOM4jpMuMry1+2GJdOuIyEysuMW3oXjKkcAjwCsiMgpTStgRuEhVF4iIAqPT5iUUkY2wBMgrMAN6btjeFqilqr8nOT7HcXKD1HgHHMdxnHQQM6CPBZ4EJgG3AjWxsssHi0g9VX0Hk3t7EtMjngL0UNWbRGR7rBRzGktMrwYswPSe54lIAxF5HHgP+FVEbktycI7j5AauzuE4juMshYjsinmZ+6vqLSLSCfgCmIsV7jgbeFVVp8bVKUSkPrAzVoxkmKoekMgEykBEugAfAGcBtTFPe02saEx94EJg36gKnuM4Tkm4J9pxHMfJLOVdgBXr+DAY0Oth1QifxTzP32EydvsFqbfIgK6Blcm+Ffg4MqCTiokuI5lxKHALcDtWPOULoIOqXgs8jyVGpioExXGc9OGeaMdxHGcJIrKxqn4rIptj5aJHYJrQvwC9VXWaiJyIVSuciMUVP6Cqi8Lx9YAtVHVQeJ2IhnJGXPdaQD2gqap+HOuzFjBXVceF17WAI4GLgMNV9atsj9txnNzBEwsdx3EcYIlixWMishPwmaqqiGwBrAJcrKrTQtcJmGdagLzIgAZQ1dmY0Z0WA7o7cC4WBy0iMhg4HfgjXqQjaEXvgHmnL3MD2nGcZeFGtOM4jhMpU5wA9AV+iOkfNwYaYfrPUajHhsCPwMlRpcKSSEqVI8OAfgi4DngVi9W+HYuDPgP4IfTbFrgYWA8zoG8O26t81T/HcVYcD+dwHMep5ojIXkBL4HDgTFX9ObZvFeAjYB4wEJiFJRWer6r3hT6pMzZFZGPgceBpVb0+eJoHA59icd2/Ayep6kgR2RDYChijqu+G41NXyttxnHThRrTjOE41JqhpfICV6f4b2FpV/w5JeaKqhSLSGXgMC4mYBdylqrcmNugMROQQYLiq/hRe5wHbYxUTr8S86V9ihVXOBw7ElDjeAC5U1R9EJD/yqrsB7TjO8uBGtOM4TjUnyNddARwE9AYeUtX5YV++qi4WkaZYGEQtVR0d9iVubIrI7VhoxpPA5VGcs4i0AlqHojDPYFUUT1bViSLSHPgGaAv8DGwbi/d2HMdZLjwm2nEcp5pQRtjFj1hMcBPMmP5TRN5R1cXBgM5T1aklvFfSBnQtoDmgQHegkYicpaqjVXUCMCGUK18fk+ubGA5tBIwCLgMWugHtOM6K4DrRjuM41YAMxYrWItJeRNqISP2w/RfgVEzS7hFgDxHJh5ITBNMQAx285YOAP7Cwja2Bu0RkzVi3ZpgXepUw77qYCkcdTMv6SShTU9pxHKdE3Ih2HMep4mQY0IcDb2MxwkOA20SkU9j/K3ASMBK4H9grqHGkjsjoVdUHsTjtzkBPzJC+IzKkgwb0dVhRlXeBN4G7gBfjEndpeChwHCe3cCPacRynihMzoI8EHsCMya0w2bfuwH9FZIMMQ/oP4CUsbjh1BA3rWuHlzUB7YAY29p2wOa0V+j4CHIXpW08BzlDVm8A90I7jrDieWOg4jlMNCEVTHgaeUNUbRWQdrPz1j0A7zPt8elCqyAPWBTqp6ktJjTkTEbkGK8k9VFW/jG1fF3gHeFBVrwne9vuBjzHJvijZsCYWAx09VCSeGOk4Tu7inmjHcZwqSBSGEQxigDWA0VioQ3ssnOM5Vd0aeBTYBbg9lP0uVNUfIwM69h6JISK9sUIw1wL3iMjDIrJeiOn+GbgVODOEpjwL9AJ2BG4VkbUBVHVBzIBOPDHScZzcxj3RjuM4VQgR2RvYFlgVuCCmSIGIbKOqX4jIa2HTCao6IWhFf48l4P0D7AlMSUuccHggOBQr390Bi3E+CliIhZ1cjMnv3QC8oKr3hFCPfTHpuy+BfVX13+yP3nGcqkoqE0Ycx3Gc8iMiNwF7YauMzwBtgIlR2EIwoJth5a3vCzJwAOsA87FY6S9UdXICwy8VVV0kIi8Dc4BbgK7Afljs88HAF5g3fVOgrog8pKrzReRVzCNd3w1ox3EqGjeiHcdxqgAicg9mUJ4NfKaqf0T7orCFkES3CDOytw3bagMbAH8CfSJjM22lvFV1noi8HV7eg8V3H6mqD4lID0yVYx6wJrAhFje9SESeygjhSM2cHMfJbTycw3EcJ8cRkTOxcta9gPdiRnMNVV0oIh0wQYtfQ5jDuVgIxO9YOMRuWLW/GxKZQDkI498Tk6mbAOyjqv+ISENgFaC9qr6Z5Bgdx6keuBHtOI6Tw4hIHeB5zJPcN+ZJLgie2A2Bb0P3DVV1hIisAhyAlfmeA7ymqg+E41LvrY0Z0ncAk4D9VHVsRh9X3nAcp1JxI9pxHCeHCfJuw4GeqvpUxr6tgA+BTzEv7erATqr6fUjWW0wsXjiXDM8gV7cXZkhPAPbPNKQdx3Eqk8RlixzHcZyVoj4WCzwFiqTtAr2AV4ADgQuxQipfi8haqrpIjXgMdE4Y0GBydcBbwOlYae+3RGT1ZEflOE51whMLHcdxcpsxwFxMAu6dEMIReZRPAmqp6lzgbRHZAFPmqJ35JmkP4SgJVV0gIm9hDqHHsWTJMcmOynGc6oJ7oh3HcXKbWcDnQDcROQhMjUNE8oOs3VxYEjtdD3gPGF9Vyl0Hj/SbWLz3s0mPx3Gc6oMb0Y7jODlMMJIvBmoCF4nIXmH74qjSoIjUwOTvTgYGqOrUXPQ8l4aqzo+V9vbvNcdxsoLfbBzHcXIcVR2JGckdsNLd54TthSLSETgNuBf4r6o+Dks0o6scuRTX7ThObuPqHI7jOFUEEdkGK3O9JpZoOBmoi8nY3a+qt4V+OaPC4TiOk1bciHYcx6lCiMiqWPW+bTED+nPgR1X9Oux3A9pxHKcCcCPacRynmpALhVQcx3FyBY+JdhzHqWKUFu/sBrTjOE7F4Z5ox3Ecx3Ecxykn7ol2HMdxHMdxnHLiRrTjOI7jOI7jlBM3oh3HcRzHcRynnLgR7TiO4ziO4zjlxI1ox3Ecx3EcxyknbkQ7juM4juM4TjlxI9pxHMdxHMdxyokb0Y7jOI7jOI5TTtyIdhzHcRzHcZxy8n/c8oHhkyrEJwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 10))# define the mask to set the values in the upper triangle to True\n",
    "data=train_df[['SalePrice','Age','remodel age','Garage Age','Garage Type_Detchd',\n",
    "              'Mas Vnr Type_None','Overall Qual_5', 'MS Zoning_RM' ]]\n",
    "mask = np.triu(np.ones_like(data.corr(), dtype=bool))\n",
    "heatmap = sns.heatmap(data.corr(), \n",
    "                      mask=mask, vmin=None, vmax=None, annot=True, cmap='coolwarm')\n",
    "heatmap.set_title('Correlation between different Features with Sale Price',fontsize=20,fontweight=\"bold\" )\n",
    "\n",
    "plt.yticks(fontsize=16);\n",
    "plt.xticks(fontsize=16, rotation=45);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "f43b2408",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SalePrice        1.000000\n",
       "Exter Qual       0.714073\n",
       "Gr Liv Area      0.700067\n",
       "Kitchen Qual     0.689965\n",
       "Bsmt Qual        0.666620\n",
       "Garage Cars      0.651113\n",
       "Garage Area      0.638958\n",
       "Total Bsmt SF    0.615309\n",
       "Year Built       0.612707\n",
       "1st Flr SF       0.594937\n",
       "Name: SalePrice, dtype: float64"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.corr()['SalePrice'].sort_values(ascending = False)[0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "9b7fa487",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 10))# define the mask to set the values in the upper triangle to True\n",
    "data=train_df[['SalePrice','Exter Qual','Gr Liv Area','Bsmt Qual','Garage Cars',\n",
    "              'Garage Area','Total Bsmt SF', '1st Flr SF' ]]\n",
    "mask = np.triu(np.ones_like(data.corr(), dtype=bool))\n",
    "heatmap = sns.heatmap(data.corr(), \n",
    "                      mask=mask, vmin=None, vmax=None, annot=True, cmap='coolwarm')\n",
    "heatmap.set_title('Correlation between different Features with Sale Price',fontsize=20,fontweight=\"bold\" )\n",
    "\n",
    "plt.yticks(fontsize=16, rotation=0)\n",
    "plt.xticks(fontsize=16, rotation=45);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "714faea8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "8b8de9ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "    \n",
    "features = [\n",
    "# 'Exter Qual',\n",
    " 'Exter Cond',\n",
    " 'Lot Frontage',\n",
    " 'Lot Area',\n",
    " 'Mas Vnr Area',\n",
    " 'BsmtFin SF 1',\n",
    " 'Gr Liv Area',\n",
    " 'Wood Deck SF',\n",
    " 'Open Porch SF',\n",
    " 'Enclosed Porch',\n",
    "    'Garage Cars',\n",
    "    \n",
    "    'Foundation',\n",
    "    'Exter Qual' , \n",
    "    'Bsmt Qual', \n",
    "    'Bsmt Cond',    \n",
    "    'Bsmt Exposure',\n",
    "    'BsmtFin Type 1', \n",
    "    'Heating QC',  \n",
    "    'Kitchen Qual',\n",
    "    'Garage Finish',  \n",
    "    'Paved Drive',  \n",
    "    'Fence',   \n",
    "    \n",
    " 'Overall Qual_3',\n",
    " 'Overall Qual_4',\n",
    " 'Overall Qual_5',\n",
    " 'Overall Qual_6',\n",
    " 'Overall Qual_7',\n",
    "#  'Overall Qual_8',\n",
    " 'Overall Qual_9',\n",
    " 'Overall Qual_10',\n",
    "#  'Overall Cond_2',\n",
    " 'Overall Cond_3',\n",
    " 'Overall Cond_4',\n",
    " 'Overall Cond_5',\n",
    " 'Overall Cond_6',\n",
    " 'Overall Cond_7',\n",
    " 'Overall Cond_8',\n",
    "    \n",
    "'MS SubClass_30',\n",
    " 'MS SubClass_40',\n",
    " 'MS SubClass_45',\n",
    " 'MS SubClass_50',\n",
    " 'MS SubClass_60',\n",
    " 'MS SubClass_70',\n",
    " 'MS SubClass_75',\n",
    " 'MS SubClass_80',\n",
    " 'MS SubClass_85',\n",
    " 'MS SubClass_90',\n",
    " 'MS SubClass_120',\n",
    " 'MS SubClass_160',\n",
    " 'MS SubClass_180',\n",
    " 'MS SubClass_190',\n",
    "\n",
    "'Age',\n",
    "'remodel age',\n",
    "'Garage Age',\n",
    "'Garage Type_Detchd',\n",
    "'Mas Vnr Type_None', \n",
    "    \n",
    "'MS Zoning_FV',\n",
    " 'MS Zoning_RH',\n",
    " 'MS Zoning_RL',\n",
    " 'MS Zoning_RM',  \n",
    "    \n",
    "'House Style_1.5Unf',\n",
    " 'House Style_1Story',\n",
    " 'House Style_2.5Fin',\n",
    " 'House Style_2.5Unf',\n",
    " 'House Style_2Story',\n",
    " 'House Style_SFoyer',\n",
    " 'House Style_SLvl', \n",
    "\n",
    "'Neighborhood_Edwards',    \n",
    "'Neighborhood_IDOTRR'  ,   \n",
    "'Neighborhood_NAmes' ,     \n",
    "'Neighborhood_NoRidge' ,   \n",
    "'Neighborhood_NridgHt'  ,  \n",
    "'Neighborhood_OldTown' ,   \n",
    "'Neighborhood_Sawyer'   ,  \n",
    "'Neighborhood_Somerst'  ,  \n",
    "'Neighborhood_StoneBr'   , \n",
    "   'SalePrice' \n",
    "\n",
    "]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "141f3250",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SalePrice               1.000000\n",
       "Exter Qual              0.714073\n",
       "Gr Liv Area             0.700067\n",
       "Kitchen Qual            0.689965\n",
       "Bsmt Qual               0.666620\n",
       "Garage Cars             0.651113\n",
       "Age                     0.612980\n",
       "remodel age             0.577544\n",
       "Garage Age              0.574633\n",
       "Garage Finish           0.547703\n",
       "Foundation              0.537057\n",
       "Heating QC              0.477960\n",
       "Mas Vnr Area            0.457653\n",
       "Garage Type_Detchd      0.456092\n",
       "BsmtFin SF 1            0.447033\n",
       "Overall Qual_9          0.443806\n",
       "Neighborhood_NridgHt    0.431492\n",
       "Mas Vnr Type_None       0.422498\n",
       "Open Porch SF           0.397025\n",
       "Overall Qual_5          0.395858\n",
       "Overall Cond_5          0.394122\n",
       "MS SubClass_60          0.393561\n",
       "Bsmt Exposure           0.388069\n",
       "BsmtFin Type 1          0.385493\n",
       "Lot Area                0.353792\n",
       "Lot Frontage            0.342376\n",
       "Wood Deck SF            0.312427\n",
       "MS Zoning_RM            0.295798\n",
       "Overall Qual_4          0.276058\n",
       "Paved Drive             0.254980\n",
       "Neighborhood_NoRidge    0.254752\n",
       "Overall Qual_10         0.250112\n",
       "MS SubClass_30          0.243235\n",
       "House Style_2Story      0.240052\n",
       "Neighborhood_OldTown    0.238186\n",
       "Bsmt Cond               0.223098\n",
       "Neighborhood_NAmes      0.219510\n",
       "Overall Cond_6          0.214928\n",
       "MS Zoning_RL            0.205141\n",
       "MS SubClass_50          0.204114\n",
       "Neighborhood_StoneBr    0.197432\n",
       "Neighborhood_Somerst    0.193623\n",
       "Overall Qual_7          0.187672\n",
       "Fence                   0.185646\n",
       "Overall Cond_4          0.175417\n",
       "Neighborhood_Edwards    0.174708\n",
       "Neighborhood_IDOTRR     0.168445\n",
       "MS SubClass_120         0.147125\n",
       "Neighborhood_Sawyer     0.146922\n",
       "Enclosed Porch          0.146820\n",
       "Name: SalePrice, dtype: float64"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abs(train_df[features].corr()['SalePrice']).sort_values(ascending=False)[0:50]#.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "5df01ba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "    \n",
    "features = [\n",
    " 'Lot Frontage',\n",
    " 'Lot Area',\n",
    " 'Mas Vnr Area',\n",
    " 'BsmtFin SF 1',\n",
    " 'Gr Liv Area',\n",
    " 'Wood Deck SF',\n",
    " 'Open Porch SF',\n",
    " 'Enclosed Porch',\n",
    "    'Garage Cars',\n",
    "    \n",
    "    'Foundation',\n",
    "    'Exter Qual' , \n",
    "    'Bsmt Qual', \n",
    "    'Bsmt Cond',    \n",
    "    'Bsmt Exposure',\n",
    "    'BsmtFin Type 1', \n",
    "    'Heating QC',  \n",
    "    'Kitchen Qual',\n",
    "    'Garage Finish',  \n",
    "    'Paved Drive',  \n",
    "    'Fence',   \n",
    "    \n",
    " \n",
    "\n",
    "'Age',\n",
    "'remodel age',\n",
    "'Garage Age',\n",
    "'Garage Type_Detchd',\n",
    "'Mas Vnr Type_None', \n",
    "    \n",
    "\n",
    "    \n",
    "]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "c72f627a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x936 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 13))# define the mask to set the values in the upper triangle to True\n",
    "data=train_df[features[-20::]]\n",
    "mask = np.triu(np.ones_like(data.corr(), dtype=bool))\n",
    "heatmap = sns.heatmap(data.corr(), \n",
    "                      mask=mask, vmin=None, vmax=None, annot=True, cmap='coolwarm')\n",
    "heatmap.set_title('Correlation between different Features',fontsize=14)\n",
    "\n",
    "heatmap.set_title('Correlation between different Features with Sale Price',fontsize=20,fontweight=\"bold\" )\n",
    "\n",
    "plt.yticks(fontsize=16, rotation=0)\n",
    "plt.xticks(fontsize=16, rotation=79);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "586fd4a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Garage Finish           0.548545\n",
    "# Foundation              0.534570\n",
    "# Mas Vnr Area            0.482204\n",
    "\n",
    "features = [\n",
    " 'Lot Frontage',\n",
    " 'Lot Area',\n",
    " 'Mas Vnr Area',\n",
    " 'BsmtFin SF 1',\n",
    " 'Gr Liv Area',\n",
    " 'Wood Deck SF',\n",
    " 'Open Porch SF',\n",
    " 'Enclosed Porch',\n",
    "    'Garage Cars',\n",
    "    \n",
    "    'Foundation',\n",
    "    'Exter Qual' , \n",
    "    'Bsmt Qual', \n",
    "    'Bsmt Cond',    \n",
    "    'Bsmt Exposure',\n",
    "    'BsmtFin Type 1', \n",
    "    'Heating QC',  \n",
    "    'Kitchen Qual',\n",
    "    'Garage Finish',  \n",
    "#     'Paved Drive',  \n",
    "#     'Fence',   \n",
    "    \n",
    " 'Overall Qual_3',\n",
    " 'Overall Qual_4',\n",
    " 'Overall Qual_5',\n",
    " 'Overall Qual_6',\n",
    " 'Overall Qual_7',\n",
    " 'Overall Qual_9',\n",
    " 'Overall Qual_10',\n",
    "    \n",
    "#  'Overall Cond_3',\n",
    "#  'Overall Cond_4',\n",
    "#  'Overall Cond_5',\n",
    "#  'Overall Cond_6',\n",
    "#  'Overall Cond_7',\n",
    "#  'Overall Cond_8',\n",
    "    \n",
    "# 'MS SubClass_30',\n",
    "#  'MS SubClass_40',\n",
    "#  'MS SubClass_45',\n",
    "#  'MS SubClass_50',\n",
    "#  'MS SubClass_60',\n",
    "#  'MS SubClass_70',\n",
    "#  'MS SubClass_75',\n",
    "#  'MS SubClass_80',\n",
    "#  'MS SubClass_85',\n",
    "#  'MS SubClass_90',\n",
    "#  'MS SubClass_120',\n",
    "#  'MS SubClass_160',\n",
    "#  'MS SubClass_180',\n",
    "#  'MS SubClass_190',\n",
    "\n",
    "'Age',\n",
    "'remodel age',\n",
    "'Garage Age',\n",
    "# 'Garage Type_Detchd',\n",
    "# 'Mas Vnr Type_None', \n",
    "    \n",
    "# 'MS Zoning_FV',\n",
    "#  'MS Zoning_RH',\n",
    "#  'MS Zoning_RL',\n",
    "#  'MS Zoning_RM',  \n",
    "    \n",
    "# 'House Style_1.5Unf',\n",
    "#  'House Style_1Story',\n",
    "#  'House Style_2Story',\n",
    "#  'House Style_SFoyer',\n",
    "#  'House Style_SLvl', \n",
    "\n",
    "# 'Neighborhood_Edwards',    \n",
    "# 'Neighborhood_IDOTRR'  ,   \n",
    "# 'Neighborhood_NAmes' ,     \n",
    "# 'Neighborhood_NoRidge' ,   \n",
    "# 'Neighborhood_NridgHt'  ,  \n",
    "# 'Neighborhood_OldTown' ,   \n",
    "# 'Neighborhood_Sawyer'   ,  \n",
    "# 'Neighborhood_Somerst'  ,  \n",
    "# 'Neighborhood_StoneBr'   , \n",
    "    \n",
    "]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "4998d0ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 12))# define the mask to set the values in the upper triangle to True\n",
    "data=train_df[features[-20::]]\n",
    "mask = np.triu(np.ones_like(data.corr(), dtype=bool))\n",
    "heatmap = sns.heatmap(data.corr(), \n",
    "                      mask=mask, vmin=None, vmax=None, annot=True, cmap='coolwarm')\n",
    "\n",
    "heatmap.set_title('Correlation between different Features used for Polynomial Linear Regression  ',fontsize=20,fontweight=\"bold\" )\n",
    "\n",
    "plt.yticks(fontsize=16, rotation=0)\n",
    "plt.xticks(fontsize=16, rotation=79);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3c81a45",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "119ae8c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "''"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "sns.histplot( train_df['SalePrice']/1000 )\n",
    "plt.text(x=400, y=200, s=\"Skewness: %f\" % train_df['SalePrice'].skew(),\\\n",
    "        fontweight='demibold', fontsize=16, verticalalignment='top', horizontalalignment='right',\\\n",
    "        backgroundcolor='white', color='xkcd:poo brown')\n",
    "plt.text(x=400, y=175, s=\"Kurtosis: %f\" % train_df['SalePrice'].kurt(),\\\n",
    "        fontweight='demibold', fontsize=16, verticalalignment='top', horizontalalignment='right',\\\n",
    "        backgroundcolor='white', color='xkcd:poo brown')\n",
    "plt.xlabel('Sale Price k[$]',fontsize=18)\n",
    "plt.ylabel('Count',fontsize=18)\n",
    "plt.xticks(fontsize=18)\n",
    "plt.yticks(fontsize=18)\n",
    ";"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "225a4bea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fca8ced4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}