Full_Code_BigMartSales3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Get all required libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/akash/anaconda3/lib/python3.5/site-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.\n",
      "  \"This module will be removed in 0.20.\", DeprecationWarning)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn import cross_validation\n",
    "from sklearn.cross_validation import KFold, cross_val_score\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.ensemble import RandomForestRegressor,GradientBoostingRegressor, ExtraTreesRegressor\n",
    "from sklearn.neural_network import MLPRegressor\n",
    "import xgboost as xgb\n",
    "import statsmodels.api as sm\n",
    "from statsmodels.genmod.families import family, links\n",
    "\n",
    "# Shutdown warning prompts\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "# to enable warnings: warnings.filterwarnings('always')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Split data into train and test and print list of all columns and  list of columns containing NaN values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Columns list: ['Item_Identifier', 'Item_Weight', 'Item_Fat_Content', 'Item_Visibility', 'Item_Type', 'Item_MRP', 'Outlet_Identifier', 'Outlet_Establishment_Year', 'Outlet_Size', 'Outlet_Location_Type', 'Outlet_Type', 'Item_Outlet_Sales']\n",
      "Columns containing NaN values: ['Item_Weight', 'Outlet_Size']\n"
     ]
    }
   ],
   "source": [
    "trainfull_df = pd.read_csv(\"Train.csv\")\n",
    "testfull_df = pd.read_csv(\"Test.csv\")\n",
    "\n",
    "columns_list = testfull_df.columns.tolist()\n",
    "columns_list = trainfull_df.columns.tolist()\n",
    "print(\"Columns list: \"+str(columns_list))\n",
    "\n",
    "nan_columns = testfull_df.columns[pd.isnull(testfull_df).any()].tolist()\n",
    "print(\"Columns containing NaN values: \"+str(nan_columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Describe train dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Item_Identifier  Item_Weight Item_Fat_Content  Item_Visibility  \\\n",
      "count             8523  7060.000000             8523      8523.000000   \n",
      "unique            1559          NaN                5              NaN   \n",
      "top              FDG33          NaN          Low Fat              NaN   \n",
      "freq                10          NaN             5089              NaN   \n",
      "mean               NaN    12.857645              NaN         0.066132   \n",
      "std                NaN     4.643456              NaN         0.051598   \n",
      "min                NaN     4.555000              NaN         0.000000   \n",
      "25%                NaN          NaN              NaN         0.026989   \n",
      "50%                NaN          NaN              NaN         0.053931   \n",
      "75%                NaN          NaN              NaN         0.094585   \n",
      "max                NaN    21.350000              NaN         0.328391   \n",
      "\n",
      "                    Item_Type     Item_MRP Outlet_Identifier  \\\n",
      "count                    8523  8523.000000              8523   \n",
      "unique                     16          NaN                10   \n",
      "top     Fruits and Vegetables          NaN            OUT027   \n",
      "freq                     1232          NaN               935   \n",
      "mean                      NaN   140.992782               NaN   \n",
      "std                       NaN    62.275067               NaN   \n",
      "min                       NaN    31.290000               NaN   \n",
      "25%                       NaN    93.826500               NaN   \n",
      "50%                       NaN   143.012800               NaN   \n",
      "75%                       NaN   185.643700               NaN   \n",
      "max                       NaN   266.888400               NaN   \n",
      "\n",
      "        Outlet_Establishment_Year Outlet_Size Outlet_Location_Type  \\\n",
      "count                 8523.000000        6113                 8523   \n",
      "unique                        NaN           3                    3   \n",
      "top                           NaN      Medium               Tier 3   \n",
      "freq                          NaN        2793                 3350   \n",
      "mean                  1997.831867         NaN                  NaN   \n",
      "std                      8.371760         NaN                  NaN   \n",
      "min                   1985.000000         NaN                  NaN   \n",
      "25%                   1987.000000         NaN                  NaN   \n",
      "50%                   1999.000000         NaN                  NaN   \n",
      "75%                   2004.000000         NaN                  NaN   \n",
      "max                   2009.000000         NaN                  NaN   \n",
      "\n",
      "              Outlet_Type  Item_Outlet_Sales  \n",
      "count                8523        8523.000000  \n",
      "unique                  4                NaN  \n",
      "top     Supermarket Type1                NaN  \n",
      "freq                 5577                NaN  \n",
      "mean                  NaN        2181.288914  \n",
      "std                   NaN        1706.499616  \n",
      "min                   NaN          33.290000  \n",
      "25%                   NaN         834.247400  \n",
      "50%                   NaN        1794.331000  \n",
      "75%                   NaN        3101.296400  \n",
      "max                   NaN       13086.964800  \n"
     ]
    }
   ],
   "source": [
    "print(trainfull_df.describe(include=\"all\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Describe test dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Item_Identifier  Item_Weight Item_Fat_Content  Item_Visibility  \\\n",
      "count             5681  4705.000000             5681      5681.000000   \n",
      "unique            1543          NaN                5              NaN   \n",
      "top              NCS41          NaN          Low Fat              NaN   \n",
      "freq                 8          NaN             3396              NaN   \n",
      "mean               NaN    12.695633              NaN         0.065684   \n",
      "std                NaN     4.664849              NaN         0.051252   \n",
      "min                NaN     4.555000              NaN         0.000000   \n",
      "25%                NaN          NaN              NaN         0.027047   \n",
      "50%                NaN          NaN              NaN         0.054154   \n",
      "75%                NaN          NaN              NaN         0.093463   \n",
      "max                NaN    21.350000              NaN         0.323637   \n",
      "\n",
      "          Item_Type     Item_MRP Outlet_Identifier  Outlet_Establishment_Year  \\\n",
      "count          5681  5681.000000              5681                5681.000000   \n",
      "unique           16          NaN                10                        NaN   \n",
      "top     Snack Foods          NaN            OUT027                        NaN   \n",
      "freq            789          NaN               624                        NaN   \n",
      "mean            NaN   141.023273               NaN                1997.828903   \n",
      "std             NaN    61.809091               NaN                   8.372256   \n",
      "min             NaN    31.990000               NaN                1985.000000   \n",
      "25%             NaN    94.412000               NaN                1987.000000   \n",
      "50%             NaN   141.415400               NaN                1999.000000   \n",
      "75%             NaN   186.026600               NaN                2004.000000   \n",
      "max             NaN   266.588400               NaN                2009.000000   \n",
      "\n",
      "       Outlet_Size Outlet_Location_Type        Outlet_Type  \n",
      "count         4075                 5681               5681  \n",
      "unique           3                    3                  4  \n",
      "top         Medium               Tier 3  Supermarket Type1  \n",
      "freq          1862                 2233               3717  \n",
      "mean           NaN                  NaN                NaN  \n",
      "std            NaN                  NaN                NaN  \n",
      "min            NaN                  NaN                NaN  \n",
      "25%            NaN                  NaN                NaN  \n",
      "50%            NaN                  NaN                NaN  \n",
      "75%            NaN                  NaN                NaN  \n",
      "max            NaN                  NaN                NaN  \n"
     ]
    }
   ],
   "source": [
    "print(testfull_df.describe(include=\"all\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Performing data cleaning, some transformations(adding dummy variables and normalisation) to both train and test sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "def clean_and_normalise(df):\n",
    "    # ===== list of items and stores\n",
    "    stores_train = np.sort(df['Outlet_Identifier'].unique())\n",
    "    items_train = np.sort(df['Item_Identifier'].unique())\n",
    "\n",
    "    # ===== remove all rows having all columns as NaN\n",
    "    df = df.dropna(how='all')\n",
    "    r,c = df.shape\n",
    "    # replace nan on Item weight and Outlet size\n",
    "    df['Item_Weight'] = df['Item_Weight'].fillna(df['Item_Weight'].median())\n",
    "    df['Outlet_Size'] = df['Outlet_Size'].fillna(df['Outlet_Size'].mode()[0])\n",
    "\n",
    "    # ===== Normalise Item_Fat_Content to lowercase and then to dummy variables\n",
    "    df['Item_Fat_Content'] = df['Item_Fat_Content'].str.lower()\n",
    "    df['Item_Fat_Content'] = df['Item_Fat_Content'].replace(['lf'], 'low fat')\n",
    "    df['Item_Fat_Content'] = df['Item_Fat_Content'].replace(['reg'], 'regular')\n",
    "    df['Item_Fat_Content_Numeric'] = df['Item_Fat_Content'].map({'low fat' : 0, 'regular' : 1})\n",
    "\n",
    "    # ===== Add dummy variable Outlet_Size_Numeric column\n",
    "    # print(df['Outlet_Size'].unique())\n",
    "    df['Outlet_Size_Numeric'] = df['Outlet_Size'].map({'Small' : 1, 'Medium' : 2, 'High' : 3})\n",
    "\n",
    "    # ===== Add dummy variable Outlet_Location_Type_Numeric column\n",
    "    # print(df['Outlet_Location_Type'].unique())\n",
    "    df['Outlet_Location_Type_Numeric'] = df['Outlet_Location_Type'].map(\n",
    "        {'Tier 1' : 1, 'Tier 2' : 2, 'Tier 3' : 3})\n",
    "\n",
    "    # ===== Add dummy variable Outlet_Type_Numeric column\n",
    "    # print(df['Outlet_Type'].unique())\n",
    "    df['Outlet_Type_Numeric'] = df['Outlet_Type'].map(\n",
    "        {'Supermarket Type1' : 1, 'Supermarket Type2' : 2, 'Supermarket Type3' : 3, 'Grocery Store' : 4})\n",
    "\n",
    "    # ===== Add dummy variable Item_Type_Numeric column\n",
    "    item_type_list = list(trainfull_df['Item_Type'].unique())\n",
    "    # print(item_type_list)\n",
    "    df['Item_Type_Numeric'] = [0]*r #initialise column with zeros to specify integers\n",
    "\n",
    "    for i in range(r):\n",
    "        itemtype = str(df['Item_Type'].loc[i])\n",
    "        df['Item_Type_Numeric'].set_value(i, item_type_list.index(itemtype))\n",
    "    \n",
    "    # ===== Normalise Outlet_Establishment_Year\n",
    "    est_year_list = list(df['Outlet_Establishment_Year'].unique())\n",
    "    # print(est_year_list)\n",
    "    df['Age'] = [0]*r      #initialise column with zeros to specify integers\n",
    "\n",
    "    for i in range(r):\n",
    "        curryear = df['Outlet_Establishment_Year'].loc[i]\n",
    "        df['Age'].set_value(i, (2013-curryear))\n",
    "    \n",
    "    # ==== Adding new dummy variable MRP_Low_High column\n",
    "    mrp_low_high = []\n",
    "    for i in range(df.shape[0]):\n",
    "        curr_mrp = df['Item_MRP'].loc[i]\n",
    "        if(curr_mrp <= 69):\n",
    "            mrp_low_high.append(0)\n",
    "        elif(curr_mrp <= 136):\n",
    "            mrp_low_high.append(1)\n",
    "        elif(curr_mrp <= 203):\n",
    "            mrp_low_high.append(2)\n",
    "        else:\n",
    "            mrp_low_high.append(3)\n",
    "    df['MRP_Low_High'] = mrp_low_high\n",
    "    \n",
    "    # ==== Adding new dummy variable Item_Visibility_New column\n",
    "    max_visi = df['Item_Visibility'].max()\n",
    "    min_visi = df['Item_Visibility'].min()\n",
    "    qrt_visi = (max_visi + min_visi)/4\n",
    "    visi_low_high = []\n",
    "    for i in range(df.shape[0]):\n",
    "        curr_value = df['Item_Visibility'].loc[i]\n",
    "        if(curr_value <= qrt_visi):\n",
    "            visi_low_high.append(0)\n",
    "        elif(curr_value <= (qrt_visi*2)):\n",
    "            visi_low_high.append(1)\n",
    "        elif(curr_value <= (qrt_visi*3)):\n",
    "            visi_low_high.append(2)\n",
    "        else:\n",
    "            visi_low_high.append(3)\n",
    "    df['Item_Visibility_New'] = visi_low_high\n",
    "    \n",
    "    # ==== Outlet_Location_Type and Item_Fat_Content combined column\n",
    "    loctype = ['Tier 1', 'low fat', 'Tier 2', 'Tier 3', ]\n",
    "    itemfat = ['low fat', 'regular']\n",
    "    loctype_itemfat=[['Tier 1', 'low fat'], ['Tier 1', 'regular']\n",
    "                     , ['Tier 2', 'low fat'], ['Tier 2', 'regular']\n",
    "                     , ['Tier 3', 'low fat'], ['Tier 3', 'regular']]\n",
    "    df['Loctype_Itemfat'] = [0]*r\n",
    "    for i in range(r):\n",
    "        currlocctype = df['Outlet_Location_Type'].loc[i]\n",
    "        curritemfat = df['Item_Fat_Content'].loc[i]\n",
    "        df['Loctype_Itemfat'].set_value(i, loctype_itemfat.index([currlocctype, curritemfat]))\n",
    "    \n",
    "    return df\n",
    "\n",
    "\n",
    "\n",
    "trainfull_df = clean_and_normalise(trainfull_df)\n",
    "testfull_df = clean_and_normalise(testfull_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data types of each column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ===== TRAIN =====\n",
      "Item_Identifier                  object\n",
      "Item_Weight                     float64\n",
      "Item_Fat_Content                 object\n",
      "Item_Visibility                 float64\n",
      "Item_Type                        object\n",
      "Item_MRP                        float64\n",
      "Outlet_Identifier                object\n",
      "Outlet_Establishment_Year         int64\n",
      "Outlet_Size                      object\n",
      "Outlet_Location_Type             object\n",
      "Outlet_Type                      object\n",
      "Item_Outlet_Sales               float64\n",
      "Item_Fat_Content_Numeric          int64\n",
      "Outlet_Size_Numeric               int64\n",
      "Outlet_Location_Type_Numeric      int64\n",
      "Outlet_Type_Numeric               int64\n",
      "Item_Type_Numeric                 int64\n",
      "Age                               int64\n",
      "MRP_Low_High                      int64\n",
      "Item_Visibility_New               int64\n",
      "Loctype_Itemfat                   int64\n",
      "dtype: object\n",
      "\n",
      " ===== TEST =====\n",
      "Item_Identifier                  object\n",
      "Item_Weight                     float64\n",
      "Item_Fat_Content                 object\n",
      "Item_Visibility                 float64\n",
      "Item_Type                        object\n",
      "Item_MRP                        float64\n",
      "Outlet_Identifier                object\n",
      "Outlet_Establishment_Year         int64\n",
      "Outlet_Size                      object\n",
      "Outlet_Location_Type             object\n",
      "Outlet_Type                      object\n",
      "Item_Fat_Content_Numeric          int64\n",
      "Outlet_Size_Numeric               int64\n",
      "Outlet_Location_Type_Numeric      int64\n",
      "Outlet_Type_Numeric               int64\n",
      "Item_Type_Numeric                 int64\n",
      "Age                               int64\n",
      "MRP_Low_High                      int64\n",
      "Item_Visibility_New               int64\n",
      "Loctype_Itemfat                   int64\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(\" ===== TRAIN =====\\n\"+str(trainfull_df.dtypes))\n",
    "print(\"\\n ===== TEST =====\\n\"+str(testfull_df.dtypes))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "# Plotting some graphs\n",
    "## *Outlet_Size* vs *Item_Outlet_Sales* color divided on *Item_Fat_Content*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4559c59c18>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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06aWXasKECXI4HGrdurV69eolk8mklJQUJScny+VyKTU1VVarVYMGDVJaWpqS\nk5NltVo1a9ass6ojGJwZ3IBgFOqHRRA6Tp1sz2e8al26dHV/J3Tp0tXP1dQ9r4LbxIkT9dprrykt\nLU2vvfaabrrpprOaCkQ6ea7a3LlzK2xPT0+vsK1///7q379/uW0NGjTQ008/fVavHWwslnruw8wW\nSz0/VxP4Vq1aLkmaMuVJP1eCmmB+K4SKUD7hviZCfQ5Tr4JbbGysHn74YUnSvHnzfFoQvJeUdKte\neWWFe4zK2e3Z7uXB6NoACDR0luGtKo+vFRUVacaMGcrKypIkTZs2TV26dNGQIUP0yy+/1EmBQG04\n1W07c4zAx/xWCAVndpZRuVD/TqgyuE2bNk1FRUW64IILlJGRoXfffVdvvvmmhg0bpqlTp9ZVjajE\n2rWrPY5RUW5urscxAt+p+a3atWtPFwJAyH8nVHmodPv27XrnnXckSR9++KFuuukmtWzZUi1bttTs\n2bPrpEBU7vRpVE4foyKbzaaiohPuMYwlFP9VjdDCXJM1E4oXJZxSZcft9CsVP/vsM1111VXunwkK\nMJIGDRp4HMMY4uI6hOS/rBE6Qr2LVFPbtmWWu0ghlFTZcYuOjlZWVpZOnDihgwcP6g9/+IOkkyGu\nefPmdVIgKtegQQP3GqWEkaqx5BWAQEenzTuhfiFHlcFt/PjxGj16tA4fPqxJkyYpIiJCCxYsUHp6\nup5//vm6qhGVKC4u9jhGRRyGABDoQi2AnK1QnyKoyuDWrl07rVu3rty2m2++WSkpKe6lpj7++GP9\n8Y9/9F2FqJTL5fI4RkVxcR1ktdZ3j2EsTEwK4JQTJwo9jkNFjafbb9myZbn1QZ955plaLQjwBbs9\nWyUlxSopKXaHABjHW2+tZYoEANBZBLcz0emBETCPm3GdOp9l9+5dhG4AIX/O8u8ObiaTqTbqAHzq\n4MFfPI4R+JiYtGbs9mwCLoJaqE/A69WSVwhMZrPZvci82Wz2czWBzel0ehwDwYb1LhHsTk2dcmoc\nan53xw3+c/o8e6ePgWAS6v+6rgkOKyNUdOnSNWQn4eUcNwM71W07c4yKTKYwj2MEPiYm9R6HlY2N\nw9zeC+UJeL36C/aPf/yjwrbbb79dkrR6NWtk+guH/7zXrFkzj2MYQ1JSP7ptCHqrVi3n4ikvhHpn\nucpz3O6//37Z7XYdPHhQ119/vXt7WVmZzjvvPElS/fr1fVshKmUymdwdTy4SqVqjRo21b1+Oewxj\nodPmHSaq/uavAAAgAElEQVSaNi67Pdv9HRWKqwHUBBPwVmHGjBnKz8/XE088oQkTJvz2IItFjRo1\n8nlxqNpll3XR9u1fuseo3FdfbfM4BoJJqJ+0bWRnTlk0ZcqTfqwmsDEBbxVsNptatGihhQsX6uef\nf9bGjRvVpEkT5eTkyGLhglR/27lzh8cxKmKVCWPj3B/vcVjZmHJzcz2OgTN5lb6WLVum9evX6+DB\ng+rVq5ceffRR3Xbbbbrzzjt9XR+q4HA4PI6BYMMUF97jPTKmxo1/O52jcWNO56gKE/B64Y033tCS\nJUsUHh6umJgYvfbaa1q7liuWYBynnwPI+YDGEuonIiM0DBo01OMYFYX6FEFeBbewsDBZrVb3z/Xr\n12fCVxgK04EYF1NcIBTExXWQ1VpfVmt9uqbViIvroLCwMIWFhYXke+XVX7ArrrhCM2bMUFFRkdav\nX6/77rtP3bt393VtQK0xm8M8jgEgENjt2SopKVZJSTGd5Wr85z/r5HQ65XQ69Z//rPN3OXXOq79g\n//znP9WyZUu1a9dOb775pq699lqlpaX5ujYACPnDIggNdJa999Zbr3sch4oqL044cOCAe5yYmKjE\nxET3zwcPHtT555/vu8oAQCcPi5yaLzIUD4vU1KluDe8VEJyqDG5DhgzxOMmry+WSyWTShx9+6PsK\ngVrAOW7GZbdnq7i42D0mkFSNK3CN6fzzL9Du3bvcY1QuKelWvfLKCvc41FQZ3D766CNJUn5+vqKj\no8vdtn//ft9VBa+wcoL3mjVr5r7UniWvjIWJSb136grcU2PCm3Fs2bKp3Dgl5Q4/VhPYbryxt/sQ\n6Y039vZzNXWvytbDTz/9pAMHDmjIkCHu8YEDB7Rv3z7ddddddVUjKsGkst7jUnvjOnjwF49jVMR5\nUggVSUm3hmS3Taqm4/bMM8/os88+08GDBzV48ODfHmSxqGfPnr6uDdCaNS/r888/q6VnO9mVXLLk\nud/9TN26XakBAwZXf0f8bqf/m4R/nyBYhfrhP3ivyuA2ffp0SdKiRYt0zz331ElBgK9wNNmYOMzt\nPRaZN66LLmrlcQzPQvlQqVdLXpWUlGj+/PkVto8cObLWCwJON2DA4FrrbI0dO0qSNHPmM7XyfKgb\ngwYNdYcRDnNXjUXmjevMw9z8/ir3n/+sU1HRCfc41MJbjS+vczgc+uijj3T48GFf1AMA5cTFdZDZ\nbJbZbOaPmRdYZB7BjnncvHBmZ+3+++/XHXdwxQsA37Pbs1VWVuYeE94QjDjMDW+d1YRWhYWF5Sbn\nBQBfeemlRR7H8Oytt9ZyRakB5eTs9ThGRadfvBGKF3J41XG77rrryk2+e+zYMd15550+LQwAJOnw\n4VyPY1TEPG7G9frrr5Ybh9p5WzUR6vO4eRXc0tPT3WOTyaSGDRvKZrP5rKhQULvTXJx06uT7s8UU\nFwhEZrNZTqfTPUblOMHduEpLHR7H8CwUO22nVBvcSkpKlJmZqR07dkiSOnXqpD//+c8+LwzVM5vN\n7nN/+IOGYBUdHaNDhw66x0AwatiwofLz891jVC0UO22nVBnc8vLyNHToUDVo0EAJCQlyOBxatmyZ\nFi1apOXLlysmhi/Rs1Vb01zccUeyJOmFF9KruSeAYMcJ7sZVr57V4ziY1OaRpsLCQklSZGTk734u\nox1tqjK4zZw5U3/5y18qTL67YMECzZw5U9OmTfNpcagenTYEu2PHjnocoyLmcTOugoICj2N4VlJS\nLKl2gpvRVBncduzY4TGcjRgxgsOlAYJDRwh2YWFmj2N4RqfNmBo3buxeIaRx48Z+rsY3mFC9dlQ5\nHYjDUfkJknR6ANSFUL/0v6bi4jrQbTOgHj0SPY6BM1UZ3Jo1a6YtW7ZU2L5582add955PisKAE65\n8cbeCg+PUHh4REifkIzgtm1bpscxcKYqD5U+9NBDGjFihAYOHKhOnTqprKxM27Zt0+uvv67FixfX\nVY0AQhydNgS7/ftzPI6BM1UZ3Dp16qSlS5dqyZIlev/992UymdSpUyetXLlSF110UV3VCCDE0WlD\nsDt1leSZY+BM1c7j1qZNG02fPr3S2ydOnKjHHnusVosCAABARWe1Vunpvv7669qoAwCAkHX++Rd4\nHANn+t3BDQAA/D55eXkex8CZvFqrFADORm3NlB7Ks6QjNLBWKbzll+C2aNEiffTRR3I4HEpOTla3\nbt00btw4hYWFKTY2VpMmTZIkrVmzRqtXr1a9evU0fPhw9ezZU8XFxRo7dqwOHz4sm82mJ598kqW3\ngCAXyrOkIzSUlpZ6HANn+t3BzeVy1ej+W7du1bZt2/TKK6/oxIkTevHFFzV9+nSlpqYqISFBkyZN\n0vr169W5c2elp6frjTfe0K+//qpBgwapR48eWrVqldq2bauRI0dq3bp1WrBggR555JHfuxsAfKC2\nZkoP9lnSWcMRp/8trenfVYSW332O2x/+8Ica3f+TTz5R27ZtNWLECN13333q2bOnsrOzlZCQIElK\nTEzUpk2blJWVpa5du8pischms6lVq1ay2+3KzMxUYmKi+76bN2/+vbsAAEGjpKTY3aEEEHy86rh9\n8cUXWrZsmY4eLb/A8/Lly/XPf/6zRi+Yl5enAwcO6Pnnn9e+fft03333yel0um+PjIxUQUGBCgsL\nFRUV5d4eERHh3m6z2crdFwCMjDUcERkZWavdUgQvr4LbuHHjNHLkSJ1//vm/+wWjo6PVunVrWSwW\nXXzxxapfv75++eUX9+2FhYVq2LChbDZbuVB2+vZTH+4zw11lYmIiZLEE59qqZvPJpmmTJtW/D6GO\n98q4+N15j/fKmJo2barvv//ePeb3V7VQ/px7FdyaNWumvn371soLdu3aVenp6Ro2bJh++eUXFRUV\nqXv37tq6dauuuOIKbdy4Ud27d1d8fLzmzJmjkpISFRcXa8+ePYqNjVWXLl2UkZGh+Ph4ZWRkuA+x\nViUv70St1B6IyspOdisPHTru50oCH++VcfG78x7vVd2rjXMUjx7Nd4/37dunYcP+/rueL9jPTwz2\nz3lVgdSr4JaSkqIxY8aoe/fuslh+e8jZhLmePXvqiy++0G233SaXy6XJkyfrggsu0IQJE+RwONS6\ndWv16tVLJpNJKSkpSk5OlsvlUmpqqqxWqwYNGqS0tDQlJyfLarVq1qxZNa4BAIBAEhERoWPHjrnH\nQGW8Cm4rV66UJGVmZpbbfrZduDFjxlTYlp6eXmFb//791b9//3LbGjRooKeffvqsXhcAgNpWW+co\n3nPPUEnS3LnP/e7nQvDyKrgdOnRI7733nq9rAQAgZNFpgze8mg4kISFBH3/8MZMCAgDgI/XqWVWv\nntXfZSDAedVx+/jjj/Xqq69Kkkwmk1wul0wmk3bt2uXT4gAAAPAbr4LbJ5984us6AAAAUA2vDpWW\nlJToueeeU1pamgoKCjR//nyVlJT4ujYAAACcxqvgNnXqVJ04cUI7d+6U2WxWTk4O64MCAADUMa+C\n286dO5WamiqLxaLw8HDNmDGD89sAAADqmFfBzWQyqaSkRCaTSdLJ9UZPjQEAAFA3vLo4YejQofr7\n3/+uQ4cO6YknntD69es1YsQIX9cGAACA03gV3Pr27auOHTvqs88+U1lZmRYuXKi4uDhf1wYAAIDT\neBXc/vGPf2jevHlq06aNe9vtt9+uZcuW+awwAAAAlFdlcLv//vtlt9t18OBBXX/99e7tZWVlat68\nuc+LAwAAwG+qDG4zZsxQfn6+nnjiCU2YMOG3B1ksatSokc+LAwAAwG+qDG42m002m00LFy6sq3oA\nAABQiSqDW1xcnMdpP1irFAAAoO5VGdzsdntd1QEAAIBqeDUBLwAAAPyP4AYAAGAQBDcAAACDILgB\nAAAYBMENAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMEN\nAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhu\nAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhuAAAABkFw\nAwAAMAiCGwAAgEH4LbgdPnxYPXv21Pfff6+cnBwlJydryJAhmjJlivs+a9asUb9+/TRw4EBt2LBB\nklRcXKxRo0Zp8ODBuvfee5WXl+enPQAAAKhbfglupaWlmjRpkho0aCBJmj59ulJTU7VixQo5nU6t\nX79eubm5Sk9P1+rVq7V48WLNmjVLDodDq1atUtu2bfXyyy8rKSlJCxYs8McuAAAA1Dm/BLcZM2Zo\n0KBBatq0qVwul7Kzs5WQkCBJSkxM1KZNm5SVlaWuXbvKYrHIZrOpVatWstvtyszMVGJiovu+mzdv\n9scuAAAA1Lk6D26vv/66GjVqpB49esjlckmSnE6n+/bIyEgVFBSosLBQUVFR7u0RERHu7Tabrdx9\nAQAAQoGlrl/w9ddfl8lk0qeffqrdu3crLS2t3HlqhYWFatiwoWw2W7lQdvr2wsJC97bTw11lYmIi\nZLGYa39nAoDZfDJ7N2lS/fsQ6nivjIvfnfd4r4yL3533Qvm9qvPgtmLFCvd46NChmjJlip566il9\n/vnn6tatmzZu3Kju3bsrPj5ec+bMUUlJiYqLi7Vnzx7FxsaqS5cuysjIUHx8vDIyMtyHWKuSl3fC\nl7vkV2VlJ7uVhw4d93MlgY/3yrj43XmP98q4+N15L9jfq6oCaZ0HN0/S0tI0ceJEORwOtW7dWr16\n9ZLJZFJKSoqSk5PlcrmUmpoqq9WqQYMGKS0tTcnJybJarZo1a5a/ywcAAKgTfg1uy5cvd4/T09Mr\n3N6/f3/179+/3LYGDRro6aef9nltAAAAgYYJeAEAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADA\nIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhuAAAA\nBmHxdwEITtOmTVZe3hF/l1HOqXrGjh3l50p+ExNzrsaPn+zvMgAABkFwg0/k5R3R4SO5CgsPnI+Y\nM8wlScoryvdzJSc5i0r9XQIAwGAC568qgk5YuEUxvS7ydxkBK+/9HH+XAAAwGM5xAwAAMAg6bjUU\naOduBeJ5W5J09Gi+ZPV3FThbfM69wzmKAOoawa2G8vKO6PDhwzLVC/d3KZIk1/81TY8cO+HnSn7j\nchQpLMwkGrrGxee8ei5Hkb9LABCCCG5nwVQvXLY2t/i7jIBV8O3bUtmv/i4DvxOf86oVfPu2jh7N\nD7guYCB2J+lMArWH4AYAZ8npdHL1dDW4ehqoXYHzbQMABsTV01Xj6mmgdnESEgAAgEHQcQMAAJUK\ntKvMpdA+l5PgBgAAKsVKONWry3M5A+e3AAAAAhLnclatLs/l5Bw3AAAAgyC4AQAAGATBDQAAwCA4\nxw0AEJIC7WrJQLxSUmLt6UBDcAMAhCTW5K0ea08HHoIbACBksSZv1Vh7OvAQoQEAAAyC4AYAAGAQ\nBDcAAACDILgBAAAYBMENAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACD\nILgBAAAYBMENAADAIAhuAAAABkFwAwAAMAhLXb9gaWmpxo8frx9//FEOh0PDhw9XmzZtNG7cOIWF\nhSk2NlaTJk2SJK1Zs0arV69WvXr1NHz4cPXs2VPFxcUaO3asDh8+LJvNpieffFIxMTF1vRsAAAB1\nrs6D29tvv62YmBg99dRTOnbsmJKSkhQXF6fU1FQlJCRo0qRJWr9+vTp37qz09HS98cYb+vXXXzVo\n0CD16NFDq1atUtu2bTVy5EitW7dOCxYs0COPPFLXuwEEtcLCQrkcv6rg27f9XUrAcjmK5JJLYRy4\nAFCH6vwb56abbtIDDzwgSSorK5PZbFZ2drYSEhIkSYmJidq0aZOysrLUtWtXWSwW2Ww2tWrVSna7\nXZmZmUpMTHTfd/PmzXW9CwAAAH5R5x238PBwSVJBQYEeeOABjR49WjNmzHDfHhkZqYKCAhUWFioq\nKsq9PSIiwr3dZrOVuy+A2hUZGaniMpNsbW7xdykBq+Dbt2Uq+9XfZQAIMXUe3CTpp59+0siRIzVk\nyBDdfPPNmjlzpvu2wsJCNWzYUDabrVwoO317YWGhe9vp4a4yMTERsljMtVK72cxhEdQeszlMTZpU\n/xmua3zOveN0OqUip/Lez/F3KQHLWVSqIp3gc46gV1ff53Ue3HJzc3XnnXfq0UcfVffu3SVJ7du3\n1+eff65u3bpp48aN6t69u+Lj4zVnzhyVlJSouLhYe/bsUWxsrLp06aKMjAzFx8crIyPDfYi1Knl5\nJ2qt/rIyZ609F1BW5tShQ8f9XUYFfM5Rm5xOF59zBL3a/D6vKgDWeXB7/vnndezYMS1YsEDPPvus\nTCaTHnnkET3++ONyOBxq3bq1evXqJZPJpJSUFCUnJ8vlcik1NVVWq1WDBg1SWlqakpOTZbVaNWvW\nrLreBXiBTkT1nEWlKnQW+rsM/A5hYWFSgzDF9LrI36UErLz3cxQZHunvMoCgUefB7ZFHHvF4FWh6\nenqFbf3791f//v3LbWvQoIGefvppn9UHAAAQqPxyjpuRMU1C9VyOIklSWLiFTkQV6EQAAGqKMzMB\nAAAMgo5bDTFNQvWYJgEAAN+g4wYAAGAQBDcAAACDILgBAAAYBOe4AQCASjEvZ/Xqcl5OOm4AAAAG\nQccNAABUihVCqleX83IS3AAAIYkJ1avnchTJJZfCOEAXMPhNAAAAGAQdNwBASGJC9eoxoXrgoeMG\nAABgEAQ3AAAAgyC4AQAAGATBDQAAwCAIbgAAAAZBcAMAADAIghsAAIBBENwAAAAMggl4AXjkchQF\nzFJArrISSZLJbPVzJb9xOYpkCjP5uwwAIYbgBqCCmJhz/V1COXl5J2duj2kY4edKTheho0fz5fR3\nGQBCCsENQAXjx0/2dwnljB07SpI0c+Yzfq6kvLFjR+nwkVzlvZ/j71LcnCVlkqQwq9nPlZzkLCqV\nwv1dBRA8CG4AcJYCrTMpSXm/HpEkxYRH+7mS/xMemO8TYFQEN/iMs6iUTkQV6EQYX6B1JqXA7U4C\nqB0EN/hEWFiYYs4JrH9l04kAABgdwe0scLVd1VyOIp3TqFHA/YufTgQAwOgIbjUUaB2SQL3aLtDe\nJwAAggHBrYYC7ZwWukgAAIQOVk4AAAAwCIIbAACAQRDcAAAADILgBgAAYBBcnAAAAKrEhOpVq8sJ\n1QluAICQxbycVXM5imS2mJlQvTp1OKE6wQ0AEJICbb7JQJ6Xk6mwAgfBDQAQkggjMCIuTgAAADAI\nghsAAIBBENwAAAAMguAGAABgEAQ3AAAAgyC4AQAAGATBDQAAwCAIbgAAAAZBcAMAADAIghsAAIBB\nsOQVAPjZmjUv6/PPP6uV58rLO7n49qnlk36Pbt2u1IABg3/38wCoPYYMbi6XS5MnT9bu3btltVr1\nxBNP6MILL/R3WQDgd1ZrfX+XAMCHDBnc1q9fr5KSEr3yyiv66quvNH36dC1YsMDfZQE4Q211koK9\nizRgwOCAqwlAYDJkcMvMzNQ111wjSbrsssv09ddf+7mimuMPmnc4hASJLhICG9/n3uH7vHYYMrgV\nFBQoKirK/bPFYpHT6VRYWOhda8EfNO/xXtU9OkmA9/iO8l4ov1cml8vl8ncRNfXkk0+qc+fO6tWr\nlySpZ8+e2rBhg3+LAgAA8DFDtqguv/xyZWRkSJK2b9+utm3b+rkiAAAA3zNkx+30q0olafr06br4\n4ov9XBUAAIBvGTK4AQAAhCJDHioFAAAIRQQ3AAAAgyC4AQAAGATBDRVs3bpVcXFxWrduXbntf/nL\nX/Twww9X+/g9e/YoJSVFkvTQQw+ptLTUJ3UCvrR161alpqaW2zZr1iwtW7asypVa3njjDc2ePdvX\n5QG/y6JFi/T3v/9dKSkpuv3227Vz586zfq6UlBR9//33mj9/vlavXl2LVcITQ07AC9+75JJLtG7d\nOvXu3VuS9L///U+//vqr1483mUySTv6hA4zq1Of4dOecc45uv/12P1QD1I7vvvtOH330kV555RVJ\nkt1u17hx4/Tmm2+e1fN5+v8EvkNwg0dxcXHau3evCgoKZLPZ9Pbbb+uWW27RgQMH9P7772vp0qUy\nm83q2rWrUlNTdejQIY0ZM0aS1LhxY/fzXHfddXr//fc1adIk3Xzzzbr66qv13//+V+vWrdP06dN1\nww03qGvXrtq7d6+uvPJKFRQUKCsrSxdffLGeeuopf+0+IOnk1EOetqWmpmr27Nl69dVXtXLlSkVH\nR8tisejmm2+WJG3btk133nmn8vLyNHDgQA0YMKCuSwcqZbPZ9PPPP+u1117TNddco7i4OK1Zs0Yp\nKSmKi4vTN998o4iICCUkJOiTTz7R8ePH9eKLL8pkMmnChAk6fvy4Dh48qMGDB2vgwIEe/z+B73Co\nFJW68cYb9cEHH0iSsrKy1KVLF+Xn52v+/PlatmyZXn75Zf3888/atGmTnnvuOfXp00fLli3T9ddf\n736O6v4lduDAAY0ePVorVqxQenq6Bg8erFdffVWZmZkqKCjw6f4B1dmyZYuGDh2qoUOHKiUlRf/+\n979lMplkMpmUl5enxYsXa/Xq1VqyZEm5jrTVatWSJUs0b948LVu2zI97AFTUrFkzLVy4UF9++aUG\nDhyo3r17u1cfuuyyy7R06VKVlJQoPDxcL774olq3bq2tW7cqJydHffr00ZIlS7RkyRK99NJL/t2R\nEEXHDR6ZTCb16dNHkyZNUosWLdStWze5XC6VlZXpyJEjuvvuu+VyuXTixAnt27dPe/fudXcVunbt\n6m7Be3L6v85iYmLUrFkzSVJERIQuueQSSVLDhg1VXFwsm83mw70EqnbVVVeVO9w/e/Zs9+c3JydH\nsbGxslqtkqTOnTu779ehQwdJUpMmTWp0igFQF3JychQZGalp06ZJknbu3Km77rpLTZs2dX92GzZs\nqDZt2rjHxcXFatSokZYtW6b//Oc/ioyM5PxlP6Hjhkq1aNFCRUVFSk9P1y233CLpZKBr3ry5Xnrp\nJaWnp2vIkCG67LLL1KZNG23btk3Sye7cKaf+yFmtVh06dEiSlJ2dXe1r03pHIDr9c3nRRRdpz549\nKikpkdPpLPe5P73TzGcZgWb37t2aOnWqHA6HJKlly5Zq2LChzGZzlUdJXnrpJXXp0kVPPfWUevXq\nxWfbT+i4oUq9e/fW22+/rZYtWyonJ0fnnnuu+vTpo8GDB8vpdKpFixbq3bu3hg8frjFjxmjdunVq\n0aKF+3/+U//t37+/xo8fr3feeUetWrWq9nU52RWB6NRhUulkt/iuu+5ScnKyzjnnHBUXF8tisbj/\nGJ7+GCCQ3HDDDdqzZ49uu+02RUREyOVy6Z///Ge5w/qnf25Pja+77jo99thj+ve//62oqCjVq1dP\nJSUlfMbrGEteAcBZKCsr0wsvvKDhw4dLkgYPHqzRo0crISHBz5UBCGZ03ADgLJjNZhUVFenWW2+V\n1WpVp06dCG0AfI6OGwAAgEFwcQIAAIBBENwAAAAMguAGAABgEAQ3AAAAgyC4AQgqJ06c0NSpU3Xj\njTeqb9++GjJkiDZv3lzlYz7++GMtXbpUkjR//nzNnz+/yvvPmzdPmZmZVd6npKREU6dO1V/+8hfd\ncsstSklJ0Y4dOyRJX3/9tSZOnOj9TgHA/2E6EABBZfjw4erQoYPWrVsni8WiXbt26Z577tHs2bPV\nrVs3j4/ZuXNnjV5j69at6t69e5X3WbZsmVwul9555x1J0pdffqkRI0Zow4YN6tixozp27Fij1wQA\nieAGIIhs3bpVP/30k5YvX+7e1r59e40YMULPPvusysrKNGrUKHXr1k0//vijUlJS9MILL7jX1r3g\nggvKPd/GjRs1b948lZWVqUWLFpo6dao2bNigr7/+WhMmTND8+fMVGxvrsZbc3Fw5HA45HA7Vq1dP\nl19+uaZPn66ysjJlZmZq3rx5eumll3TbbbfJZDLJ5XJp//796tu3ryZMmKBFixbp/fffl9Pp1NVX\nX60xY8b47o0DYBgcKgUQNHbs2OGxk5WQkKAdO3ZUWJrHZDKpdevWGjhwoAYOHKi//vWv7tuOHDmi\n2bNn68UXX9Trr7+uHj166F//+pf69u2rjh076oknnqg0tEnS0KFDtX37dv3hD3/QiBEjlJ6ers6d\nO7sXpTeZTLJYLHrzzTf1xhtvaMqUKWrSpIlGjhyp//73v9q5c6fWrl2rN954Qz///LO7cwcgtNFx\nAxA0TCaTysrKKmw/c/1Qb2RlZemnn37S0KFD5XK55HQ6FR0d7b69urnLL7jgAr377rvasWOHNm/e\nrDfffFPLli3Tm2++WeG+v/zyi8aMGaN58+YpOjpamzZt0o4dO3TrrbfK5XKpuLi4QjcQQGgiuAEI\nGp06ddKKFStUVlYms9ns3r5t2zZ16tRJTqfTHbhKS0urfK6ysjJ17dpVCxYskHTyYoPCwkKva5kz\nZ46Sk5MVHx+v+Ph43XPPPRo0aJA+/fRTxcTEuO9XUlKi+++/Xw888IDi4uIkSU6nU0OHDtWwYcMk\nSQUFBeX2B0Do4lApgKCRkJCgNm3aaNq0ae5g9vXXX+u5557TiBEjFBMTo2+++UaS9MEHH7gfZzab\nK3TqLrvsMm3fvl179+6VJD377LN66qmnJEkWi6Xa4PfLL79o4cKF7m5ffn6+8vLy1LZt23L3e/jh\nh9WtWzf16dPHva179+56++23deLECZWWluq+++7T//t//+8s3hEAwYaOG4CgMn/+fM2ePVt9+vSR\nxWLROeeco3/961/q1q2bGjRooHHjxmnt2rX605/+5H5Mt27dNG7cODVu3Ni9rXHjxpo2bZoefPBB\nOQHur3IAAAC/SURBVJ1ONW/eXDNnzpQkXXPNNZo8ebJmzJihzp07e6zj0Ucf1ZNPPqk///nPioyM\nVL169TRmzBhdfPHFOnTokKSTncB169apY8eO7vPr2rRpo5kzZ8put2vAgAFyOp1KTExU3759ffWW\nATAQFpkHAAAwCDpuAHCWnnrqKW3atKnC1aodO3bUY4895qeqAAQzOm4AAAAGwcUJAAAABkFwAwAA\nMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACD+P9kCjf2Pg2XnwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4559c591d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "sns.boxplot(x='Outlet_Size', y='Item_Outlet_Sales', data = trainfull_df, hue=\"Item_Fat_Content\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## *Outlet_Location_Type* vs *Item_Outlet_Sales* color divided on *Item_Fat_Content*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4559c9c0b8>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vVseOHbVu3TrFxcXp5MmTF1TMnXfeqXHjxmnYsGEqLS3VE088oauuukoZGRmy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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4559c595c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "sns.boxplot(x='Outlet_Location_Type', y='Item_Outlet_Sales', data = trainfull_df, hue=\"Item_Fat_Content\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## *Outlet_Type* vs *Item_Outlet_Sales* color divided on *Item_Fat_Content*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f45599effd0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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3bt00ZMgQ7d69OyQF1gdHjhzx27YK1qkDACAwqg1uU6dOVUlJic4880zl5OTo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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f45565ec470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "sns.boxplot(x='Outlet_Type', y='Item_Outlet_Sales', data = trainfull_df, hue=\"Item_Fat_Content\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation Heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f45564e8630>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LiwtBQUHEx8ezatUqNm7cSHFxMadOnSI8PJz169ezb98+YmJi6Nu3b4XtBwcHc+jQIQoK\nCvDx8eGDDz5g4MCBnDhxAgCHw4HjqmXqTpw4gZ+fn/O93W53fn3u3Dm8vLyq4SqIiIjIzbJozqrU\npHr16tGrVy8aNGhAhw4dePTRR1mxYgUBAQEsWLCA7OxsXF1dKSwsZNmyZaxZs4a0tDQyMzPZunUr\n6enplSarAI888giffPIJTzzxBDk5OURGRjqTVYAxY8ZQXFxMbm4uvXv3Llc5nTx5Mh4eHlitVpo3\nb85LL71UbddCREREfp6UrP6HyM/PJy8vj0mTJuFwOLDZbISGhhIUFES7du0A8PX1pUWLFgD4+flh\ns9kqbdNisTBgwACmT59OkyZN6NatW7lKKuCcBjB//nyOHTtGQECAc9/V0wBERETEeFYT3mBlvlqx\nyVitVux2O/7+/gQGBpKamkpGRgbPPfccPXr0AC4nnberSZMmFBUVkZGRwcCBA6/ZfyV5nTRpErm5\nuSxfvvyafSIiIiLVRclqLWaxWGjfvj3Lly9n+/btTJkyhcjISMLCwlixYgWtW7eukjj9+/fn5MmT\n3H333dfEv/rrl19+mcWLF5OXl3dHCbKIiIhUD4uLpcpetYXFofKY1KCSgnOGxba71jEsNsCLnsGG\nxn/14r8MjX/spdGGxm+SnGZYbIfBf9xZDP4xb/T4S+3Gjt/V4Luzp/q2MzT+zAu7DY1v9Pe/h6dn\njcb7etivq6ytju98VGVt3QnNWTW5+Ph49u/f76yEOhwOLBYLS5cuxd3d3eDeiYiIiFROyarJTZ8+\n3eguiIiISA0x4w1WSlZFRERETMJiwkUBdIOViIiIiNRaqqyKiIiImIRVK1iJiIiISG1Vmx45VVXM\nl36LiIiIiGmosioiIiJiEhZNAxARERGR2spiNV+yar4RiYiIiIhpqLIqIiIiYhJ6GoDIHXK4GLfE\n64WSMsNiA7x68V+Gxp/kdY+h8WedN3Z9cCPtP1NiaPz6nsb+qH9z53FD40f3vMvQ+HV7vmBo/PPn\nvzU0/gWb3dD4ZQ6HofEbe9ZsPDPOWTXfiERERETENFRZFRERETEJM1ZWlayKiIiImISeBiAiIiIi\nUoNUWRURERExCYuLi9FdqHJKVkVERERMwoxzVs03IhERERExDVVWRUREREzCqhus7tyxY8eYMGEC\nERERjBw5koSEBAoLCys8ft26deTl5XH8+HGGDx9e4XE2m42srKxKY4eHhzN06FAiIiIIDw8nIiKC\nzZs3V3j8O++8Q1lZxQ+Sj42N5bPPPiu37ep+RkdHU1paet1zFy5cSGZmZqX9vVPnzp1j9erVFe7f\ntGkTAwcOLNfH2bNnM2/evGrtl4iIiFQPi4u1yl61RY32pKSkhPHjxzN27FjS09N5++23CQkJITo6\nusJz0tLSKCgoAMBisVR4XG5uLu++++4N+5CcnEx6ejoZGRmkp6fTp0+fCo9dvHhxpclqRa70c968\nebi6Gle83rNnDxs2bKhw/wMPPEBISAivv/46AP/4xz/4xz/+waRJk2qqiyIiIiKVqtFMatOmTXTv\n3p0OHTo4tw0aNIgVK1YwefJkBgwYwP3338+WLVtYs2YNjz32GHv27CEmJoakpCTnOdu2bePVV1/F\nxcWFoKAg4uPjWbJkCQcOHCA1NZXnn3++wj7Y7dcu+5afn8+LL76Iw+HAZrMxY8YMvvnmG06dOkVU\nVBSvvfYa06ZN4+TJk+Tl5dG3b18mTpwIwPLly1m6dCllZWXMmjWrXPm9b9++rF27lk2bNrF06VLc\n3Nxo2LAh8+fPBy5XjT/66CPOnTvHxIkTeeCBB3jkkUfo0qULhw4donv37hQUFJCTk0Pz5s1JSkri\n5MmTTJ06lZKSEjw8PJg5cyalpaVER0cTGBjI4cOH6dixI9OnT2fJkiV89913ZGVlMXTo0Otej9jY\nWJ588kkeeughXnnlFVJSUnBxcaG0tJTp06dz5MgR7HY7kyZNolu3bnz88ccsX76csrIyLBYLCxcu\nZO/evcydOxd3d3eGDRvGwIEDb+0bQ0RERKpEbaqIVpUaTVaPHj1K06ZNr9nepEkTtm/fzoABA8pt\n79OnD8HBwcycORM3Nzfn9qlTp7JixQoCAgJYsGAB2dnZjBs3jn379lWaqAJMnjwZDw8PHA4HFouF\nBQsWsGvXLvz9/UlKSmLfvn0UFRUxZMgQFi1axPz58/nhhx/o1KkTQ4YMwWaz0bt3b2ey2qVLF8aO\nHcvmzZtJSkpi8uTJzlhXKqwffvghzz77LI888gh/+9vfnJXixo0bM3PmTLZt28ayZct44IEHOH78\nOBkZGfziF7/gV7/6Fe+++y5Tp07loYceoqCggDlz5hAREUGvXr344osvSE5O5sUXX+TQoUO89dZb\n1KlTh4ceeojTp08zbtw4MjMzK0xUAby9vZk5cyZPP/00L730EnfffTcAWVlZBAQE8Morr3D27Fme\neuopVq9ezaFDh3jjjTeoU6cO06ZN47PPPqNhw4bYbDbeeeedSq+9iIiIVC8zLgpQo8lqo0aNyMnJ\nuWb74cOH6datm/O9w+Eot//q9/n5+eTl5Tk/qi4pKSE0NPSm+5CUlESzZs3KbevduzeHDh1i/Pjx\nuLm5MX78eGdch8OBn58fOTk5bN26FW9vby5duuQ890q/u3Tpwty5c6/b79jYWJYsWUJGRgYtW7ak\nX79+ALRv3x6A+vXrU1RUBEC9evVo1KgRAF5eXrRo0QIAX19fSkpK2Lt3L0uWLOGNN97A4XA4k/i7\n774bT09PABo2bEhJSclNX5Nf/epX1K1bl0GDBjm37d27l507d/L111/jcDgoKyvj7NmzBAQEEBMT\ng6enJ99//z1dunQBoHnz5jcdT0RERORm1Wiy2q9fP5YsWcKuXbucUwGuVPA8PDzIzc0FYPfu3c5z\nrFZruY/u/f39CQwMJDU1FR8fHzZs2IC3tzdWq/Wm5pdebxrA1q1badCgAcuWLeOrr74iJSWFtLQ0\nXFxcsNvtZGdn4+fnR0JCAocPHy53I1dOTg6dOnVi+/bttG7d+roxMzMzeeGFFwgICGDatGmsW7cO\nuP4c3Irm5V5JfFu2bMnvfvc7OnXqxMGDB9mxY0eFx97sNbn6nCtatGhBYGAgkZGRlJSUsHjxYlxd\nXfnjH//I5s2bcTgcPPPMM+ViiYiIiLE0DeAOeXl5sWjRImbNmsW5c+coKyujbdu2pKSkcOjQIeLi\n4li9enW5ymfnzp2JiYkhISEBuJzMxcXFERkZid1ux9fXlzlz5uDj40NpaSnz5s2r9Iatn04D6N+/\nP4899hhRUVGsWLECu93O73//ewC6du1KZGQk06dPJyoqiq+++go3NzeaNWvmTKy//vprRo8ejdVq\nZdasWeWS4SuJZ0hICM899xze3t54e3vz4IMPkpGRcUvX7kpbL730EjNmzMBms1FSUsKUKVPK7b/6\n66ZNm7Jv3z7S09OJiIi4qfavGD58OFOnTiU8PJzCwkJGjBiBj48PXbt2ZdiwYbi4uFCvXj1yc3O5\n6667bmksIiIiUj3MmKxaHD8tqYlUo+L/m+5ghPO2a6vqNamuu7E/QCZ53WNo/Fnnd9/4oGrk5Vrx\n00Sq276zNsNiA9T3NPaR2m/uPG5o/Oiexv5BXfe+FwyNf/7vrxsa/8IlY9OMMoPTnMZ+3jUa74fE\n/66ytgJjjf3eucJ0iwLk5OSQnJzsrBReXUENCwszuHfG2LBhA2+99dY11yQiIoKHHnrI4N6JiIhI\nVbGasLJqumQ1JCTklj9iN7u+ffvSt29fo7shIiIicstMl6yKiIiI/Fzp0VUiIiIiUmuZ8QYr841I\nRERERExDlVURERERkzBjZVXJqoiIiIhJmHHOqvlGJCIiIiKmocqqiIiIiElYXVyM7kKVU7IqIiIi\nYhJmnLNqvhGJiIiIiGmosio1y2E3LHThJeNiA5yf8oyh8Wed321o/Li67QyNv6Bgl2Gxg13PGRYb\ngEvGhn88uKGh8e0WYz8WLdiUZGj8Y3FjDI3v8j9/MjT+f9nzDY0P3jUazYyVVSWrIiIiIiZRk08D\ncDgczJgxg++++w53d3deeeUVmjZtes1x06ZNo169ekRFRd1WHPOl3yIiIiJS7datW4fNZmPlypVE\nR0eTmJh4zTErV65k7969dxRHlVURERERk6jJaQA7d+6kV69eAHTs2JFvvvmm3P5//vOf7Nq1i7Cw\nMA4ePHjbcVRZFRERETEJi4u1yl43UlBQgK+vr/O9q6srdvvl+0Py8vJYuHAh06ZNw+Fw3NGYVFkV\nERERkVvm4+NDYWGh873dbsf6f3Nm165dy9mzZxk7dix5eXmUlJTQokULBg0adMtxlKyKiIiImERN\n3mDVpUsXNm7cyGOPPcZXX31FmzZtnPvCw8MJDw8HIDs7m++///62ElVQsioiIiJiGhZrzT2q7eGH\nH+bzzz8nLCwMgMTERFavXk1RURFDhw6tsjhKVkVERETkllksFuLj48tta968+TXHPfHEE3cURzdY\nXeX48eMMHz6cffv2sWPHjmqJcezYMSZMmEBERAQjR44kISGh3HyP61m3bh15eXnO/lXEZrORlZVV\naVtHjhzhueeeY8yYMYSFhTF37txKj4+NjeWzzz6r9BgRERGpJawuVfeqJZSsXsfHH3/M/v37q7zd\nkpISxo8fz9ixY0lPT+ftt98mJCSE6OjoSs9LS0ujoKAAuPxXTEVyc3N59913K20rJSWF8PBwli1b\nxsqVKzl8+DDr1q279cGIiIhI7WO1Vt2rltA0gJ84e/Ys2dnZuLm50b59e4qLi5k/fz4uLi4EBQUR\nHx/PqlWr2LhxI8XFxZw6dYrw8HDWr1/Pvn37iImJoW/fvtdte9OmTXTv3p0OHTo4tw0aNIiVK1dy\n7NgxXn/9dR5//HHuv/9+tmzZwpo1a3jsscfYs2cPMTExJCX9e8m+bdu28eqrr5br15IlSzhw4ACp\nqak8//zz1+1D/fr1yc7OxsvLi5CQEObPn+981MS0adM4efIkeXl59O3bl4kTJzrPKy0tZfr06Rw5\ncgS73c6kSZPo1q0b8+fPZ+vWrdjtdh555BGeffbZKvqXEBEREVGyeo169erRq1cvGjRoQIcOHXj0\n0UdZsWIFAQEBLFiwgOzsbFxdXSksLGTZsmWsWbOGtLQ0MjMz2bp1K+np6RUmq0ePHr3uMmR33XUX\nP/zww3XP6dOnD8HBwcycORM3Nzfn9qlTp17Tr3HjxrFv374KE1WAmJgYVqxYQUpKCvv27aNPnz5M\nnTqV8+fP06lTJ4YMGYLNZqN3797lktWsrCwCAgJ45ZVXOHv2LE899RSrV69m9erVZGRkUL9+fd5/\n//2bvcwiIiJSDSwutefj+6qiZLUS+fn55OXlMWnSJBwOBzabjdDQUIKCgmjXrh0Avr6+tGjRAgA/\nPz9sNluF7TVq1IicnJxrth8+fJjAwMBy2376AN2r31/dL7g8vSA0NPSmxvTll18SERFBREQERUVF\nzJ49m9TUVP77v/+bnJwctm7dire3N5cuXSp33t69e9m5cydff/01DoeDsrIyzp49S3JyMnPnzuXU\nqVP07t37pvogIiIi1aQWzTWtKkpWr8NqtWK32/H39ycwMJDU1FR8fHzYsGED3t7enDhxotK5oxXp\n168fS5YsYdeuXc6pAFcqlk2aNMHd3Z28vDwAdu/efU1/rqioX1arlbKyskr7kJycjIeHB926dcPT\n05PmzZtz5swZsrOz8fPzIyEhgcOHD19zo1bLli0JDAwkMjKSkpISFi9ejJeXF2vXriUlJQWA/v37\n8/jjj1+TeIuIiIjcLiWrP2GxWGjfvj3Jycm0bNmSKVOmEBkZid1ux9fXlzlz5nDixInbatvLy4tF\nixYxa9Yszp07R1lZGW3btnUme0OHDiUuLo5Vq1bRrFkz53mdO3cmJiaGhIQEZx/j4uKu6ZePjw+l\npaXMmzevwpu2Xn31VV5++WXmzJmDm5sbTZs2ZcaMGZw4cYLo6Gi++uor3NzcaNasGbm5uc7zhg0b\nxtSpUwkPD6ewsJARI0bg7u6On58fw4YNw8PDg169eilRFRERMZIJK6sWx50u2CpyC4ovVv6Yrur0\nw0X7jQ9IyJZSAAAgAElEQVSqRmUzxhgaPyDxz4bGj6vbztD4Cwp2GRbbevGMYbFrg29tdQ2N3ybA\nw9D4rrYCQ+MfmzHB0Pgu//MnQ+P/lz3f0PhuDYJqNF7xmkVV1pZH//FV1tadUGW1GsTHx7N//37n\nVAGHw4HFYmHp0qW4u7tXe/ycnBySk5Ovid+/f3/nKhMiIiIi/wmUrFaD6dOnGxo/JCSEjIwMQ/sg\nIiIiBjDhNIDa88RXEREREZGfUGVVRERExCxMWFlVsioiIiJiEpZatExqVTHfiERERETENFRZFRER\nETELTQMQERERkVrLhMmqpgGIiIiISK2lyqqIiIiISVhczFdZVbIqIiIiYhYmfBqAxeFwOIzuhPx8\nFFwsMiy2+6VCw2ID2N29DY1vNIu91ND4E306GBb71Yv/Miw2gOP/ll7+ubKVGftrzt3F2OtvMfjX\nvNH/9y05/2tofPeeg2s0nu3zd6qsLff7hlVZW3dClVURERERszDhDVZKVkVERERMwmLCZNV8ExtE\nRERExDRUWRURERExCxPeYKVkVURERMQkNA1ARERERKQGqbIqIiIiYhYmrKwqWRURERExCxPOWa2x\nER0/fpzhw4ezb98+duzYUS3td+3alYiICMLDw4mIiCA1NbXC43/44Qc2btxYaZvnz59nypQphIeH\nM2LECKKjoykoKLjlvu3du/e2xnyj844fP84vf/lLdu/e7dy2cuVKFi5ceMuxbsWpU6dISEio1hgi\nIiIiYEBl9eOPP6Z+/frce++9Vd5269atSU9Pv6ljv/zySw4ePMiDDz5Y4TFRUVGEhYXx0EMPAfDn\nP/+Z6dOnM2/evFvq1//+7//e1phv5jxvb29iY2N59913cXNzu6X2b1f9+vWZNm1ajcQSERGRm2dx\n0TSAO3L27Fmys7Nxc3Ojffv2FBcXM3/+fFxcXAgKCiI+Pp5Vq1axceNGiouLOXXqFOHh4axfv559\n+/YRExND3759K2z/eivH2u12pk2bxsmTJ8nLy6Nv37688MIL/OlPf6KkpIQuXbpcN2E9ceIEp0+f\ndiaqAKNHj6aw8PKSnR988AHp6enUqVOHu+++m4SEBFatWsXmzZspLi7m6NGjjB07lp49e/Lee+/h\n7u5e6ZhvdF6HDtdfKrJZs2Z069aNlJQUYmJiyu27//77+eyzz4DLifeIESM4duzYDa/vRx99RFpa\nGi4uLnTt2pWoqCgWLlzIP//5Ty5evMjLL79MXFwcmZmZbNy4kddffx2Adu3aqeIqIiJiJM1ZvTP1\n6tWjV69eNGjQgA4dOvDoo4+yYsUKAgICWLBgAdnZ2bi6ulJYWMiyZctYs2YNaWlpZGZmsnXrVtLT\n0ytNVvfv309ERAQOhwOLxcLcuXO5dOkSnTp1YsiQIdhsNnr37s3EiROJjIzk+++/r7CympubS5Mm\nTcpts1gs+Pj4cPbsWRYuXMjf/vY3PD09mT17NpmZmXh5eVFQUMDSpUs5fPgw48aNY9CgQTz55JM3\nHPONzquIxWJh4sSJDB06lJ07d97Uv0NF1zcjI4OuXbuycOFC3nvvPerUqcP/+3//j7///e8AtGzZ\nkri4OI4fP47FYqGsrIyZM2fy17/+FX9/f5YtW8bJkydp3LjxTfVDRERE5EYMu8EqPz+fvLw8Jk2a\nhMPhwGazERoaSlBQEO3atQPA19eXFi1aAODn54fNZqu0zetNAygoKCAnJ4etW7fi7e3NpUuXbqp/\ngYGB/PDDD+W2lZaW8tFHH9GsWTNat26Np6cnAPfeey+ff/45ISEh3HPPPc7zf9rfysZc2Xk34ubm\nxqxZs4iOjmbYsGHXPebqqnNF17ekpITDhw+Tn5/P2LFjcTgcXLx4kaNHjwLQvHnzcm2eOXMGPz8/\n/P39ARgzZswt9VtERESqmAkrqzV+y5jVasVut+Pv709gYCCpqalkZGTw3HPP0aNHD+BytfB2XG8a\nQHZ2Nn5+fiQnJ/PMM89QXFzsjFFWVlZhW40aNSIgIID169c7t6WlpbFhwwaaNGnC/v37nW1t27aN\nZs2aXdP3K/2xWCy3NOarz6usj1cf265dOwYMGMAbb7zh3FdaWkpRURE2m439+/c7t1d2fZs2bUpg\nYCBvvfUWGRkZPPXUU3Ts2BG4/G93tV/84hdcuHCB8+fPA/Dyyy+za9euSvsrIiIi1cditVbZq7ao\n0cqqxWKhffv2JCcn07JlS6ZMmUJkZCR2ux1fX1/mzJnDiRMn7qj9n+rZsyfR0dF89dVXuLm50axZ\nM3Jzc2nbti1Lliyhffv29O/f/7rtJSUlER8fz1tvvcWlS5do2rQpM2fOxMfHhwkTJhAeHu6ce/qH\nP/yBDz/88Lr9+eUvf3lLY/7pea1ateJXv/rVDcc8btw4Nm3a5HwfERHBsGHDaNq0KXfdddeNLyDg\n7+/P008/zahRo7Db7TRp0qTC62OxWJg2bRqRkZG4uLhwzz33VDplQURERORWWRzXK0eKVJOCi0WG\nxXa/VGhYbAC7u7eh8Y1msZcaGn+ij3F/SL168V+GxQZw3OanVWZhKzP215y7i7HX32Lwr3mj/+9b\ncv7X0PjuPQfXaDz7/i+rrC1rqx5V1tad+I9bFCA+Pp79+/c7K4pXbqZaunQp7u7ut9zeO++8w6pV\nq65pLzo62vnxt9Fef/11vvzyy2v6mJiYeNMVUxEREfkZsNSej++riiqrUqNUWf35Mrq6osrqz5cq\nq6qsGqnGK6sHtlVZW9aW15+CWNP+4yqrIiIiIlIBE1ZWzTciERERETENVVZFRERETMJhwsqqklUR\nERERszBhsmq+EYmIiIiIaaiyKiIiImIWJnz6h5JVEREREbOoRcukVhXzjUhERERETEOVVRERERGT\n0NMARO6QK3bDYp+zeBkWG8DH4HlE+8+UGBo/2PWcofGNXEVqktc9hsUG+P3I9obG91/4jqHxAzxd\nDI1f53iOofFL7goxNP6FMmOv/+llGYbGD67hFaz0NAARERERkRqkyqqIiIiIWZiwsqpkVURERMQs\nTJismm9EIiIiImIaqqyKiIiImISeBiAiIiIitZcJk1XzjUhERERETEOVVRERERGzMPiZ3tXB1JXV\nY8eOMWHCBCIiIhg5ciQJCQkUFhZWePy6devIy8vj+PHjDB8+vMLjbDYbWVlZlcY+cuQIzz33HGPG\njCEsLIy5c+ficDjYs2cPqamptz2mq4WHh5OYmFiuX3379q2StiuTmJjIyZMnqz2OiIiI3CKLtepe\ntUTt6UkVKykpYfz48YwdO5b09HTefvttQkJCiI6OrvCctLQ0CgoKALBU8pdJbm4u7777bqXxU1JS\nCA8PZ9myZaxcuZLDhw+zfv16goODef75529vUNfx4Ycfsn37duf7yvpdVWJjY2ncuHG1xxEREREx\n7TSATZs20b17dzp06ODcNmjQIFasWMHkyZMZMGAA999/P1u2bGHNmjU89thj7Nmzh5iYGJKSkpzn\nbNu2jVdffRUXFxeCgoKIj49nyZIlHDhwgNTU1AoTz/r165OdnY2XlxchISHONrZt28bKlSuJiooi\nNjYWi8VCYWEhBw8e5Msvv2TDhg2kpaXh4uJC165diYqKqnScU6ZMYerUqWRnZ+Pi8u8l7WJjY3n8\n8cfLjTExMZGHH36Yrl27cujQIbp3705BQQE5OTk0b96cpKQkTp48ydSpUykpKcHDw4OZM2dSWlrK\nuHHj8Pf3p3fv3mzevJmEhAT8/PyYPHky58+fByApKYmgoKA7+WcTERGRO2DGpwGYb0T/5+jRozRt\n2vSa7U2aNClXibyiT58+BAcHk5SUhJubm3P71KlTWbhwIRkZGTRs2JDs7GzGjRtHq1atKq2QxsTE\n0LFjR1JSUggNDSU2NpYLFy4Al6ufTZo0ISMjg6VLl1KvXj1ee+01iouLWbhwIWlpaSxfvpyTJ0/y\nxRdfVDrO4OBgnnjiiXLTASpz4sQJXnzxRf7yl7+QkZHBqFGjyMrK4h//+AcFBQXMmTOHiIgI0tPT\neeaZZ0hOTgbg9OnTvPXWWzz77LPO6u2iRYvo168fK1euZPLkyeTkGLv+tYiIyM+e1Vp1r1rCtJXV\nRo0aXTd5Onz4MN26dXO+dzgc5fZf/T4/P5+8vDwmTZoEXJ5aEBoaelPxv/zySyIiIoiIiKCoqIjZ\ns2eTmprKgw8+6DymrKyMqKgofvvb39KrVy9ycnLIz89n7NixOBwOLl68yJEjR+jZs2elscaOHcvI\nkSP59NNPr7v/6jH5+/vTqFEjALy8vGjRogUAvr6+lJSUsHfvXpYsWcIbb7yBw+FwJu5NmjQpV7kF\n+P777xkyZAgAnTp1olOnTjd1bURERERulmmT1X79+rFkyRJ27drlnAqQlZVFQEAAHh4e5ObmArB7\n927nOVarFbvd7nzv7+9PYGAgqamp+Pj4sGHDBry9vbFarZSVlVUaPzk5GQ8PD7p164anpyfNmzfn\nzJkz5Y6Ji4ujS5cuDBw4ELicEAYGBvLWW2/h4uJCdnY299xzzw3HarVaSUxMZMyYMc6qp7u7O3l5\nedeMsSJXEtqWLVvyu9/9jk6dOnHw4EF27NgBlJ8Le+XYVq1akZOTQ9u2bdm+fTuffvpppXOCRURE\npJqZcBqAaZNVLy8vFi1axKxZszh37hxlZWW0bduWlJQUDh06RFxcHKtXr6ZZs2bOczp37kxMTAwJ\nCQnA5QQtLi6OyMhI7HY7vr6+zJkzBx8fH0pLS5k3b16Fydmrr77Kyy+/zJw5c3Bzc6Np06bMmDGD\nb775BoC1a9fyySefkJeXx8aNG7FYLEyfPp1nnnmGUaNGYbfbadKkCf37969wjFcnkM2bN+fpp58m\nLS0NgKFDhxIXF8eqVavKjfFGbb300kvMmDEDm81GSUkJU6ZMuSbWla8jIyOJi4vjgw8+wGq18sor\nr9wwjoiIiFQjEyarFsdPPwcXqUbFFyt+dFh1u1Bq7LPnfNyN/QGy/0yJofGDXc8ZGr/Mp4FhsSd5\n3fgTkur0+5HtDY3vv/AdQ+MHeLrc+KBqVOe4sfP5S+4KMTR+gc1+44Oq0emokYbGD176fo3Gs53N\nrbK23Os1rLK27oRpK6s1IScnh+TkZGel0eFwYLFY6N+/P2FhYf8xMURERMQkTFhZVbJ6B0JCQsjI\nyPiPjyEiIiLmoEdXiYiIiIjUIFVWRURERMxClVURERERkZqjyqqIiIiIWViMffJNdVCyKiIiImIW\nNTgNwOFwMGPGDL777jvc3d155ZVXyi11v2HDBlJTU3F1dWXw4MEMHTr0tuJoGoCIiIiI3LJ169Zh\ns9lYuXIl0dHRJCYmOveVlpYye/Zs/vznP5ORkUFmZib5+fm3FUfJqoiIiIhJOCzWKnvdyM6dO+nV\nqxcAHTt2dK7SCXDgwAHuvvtufHx8cHNzo2vXrmzfvv22xqRpACIiIiJmUYPTAAoKCvD19XW+d3V1\nxW63Y7Var9nn7e3NhQsXbiuOKqsiIiIicst8fHwoLPz3MupXEtUr+woKCpz7CgsLqVu37m3FUWVV\napaBz3/zMPi73eJwGBq/vqfBF+CSseEdBt4h+/uR7Q2LDbDw7W8Njf/auFWGxi/rNsjY+HUbGxrf\naB6uxt6d/lZ6jqHx5yyt2Xg1+bOuS5cubNy4kccee4yvvvqKNm3aOPe1bNmSw4cPc/78eTw8PNi+\nfTtjxoy5rThKVkVERERMoibrIg8//DCff/45YWFhACQmJrJ69WqKiooYOnQosbGx/O53v8PhcDB0\n6FAaNmx4W3GUrIqIiIjILbNYLMTHx5fb1rx5c+fXDzzwAA888MAdx1GyKiIiImISdoOnnFUHJasi\nIiIiJmG+VFVPAxARERGRWkyVVRERERGTsJuwtKpkVURERMQkHCacs6ppACIiIiJSa91Usnrs2DEm\nTJhAREQEI0eOJCEhodyKBT+1bt068vLyOH78OMOHD6/wOJvNRlZWVqWxw8PD+f7772+mm7fknXfe\noaysjD179pCamlolbf7tb38jPDyc4cOH07VrVyIiIoiIiCA3N7dK2v+pbdu2ce+99/Ljjz86t82b\nN4/333+/WuJdUZXXTERERKqO3VF1r9rihslqSUkJ48ePZ+zYsaSnp/P2228TEhJCdHR0heekpaU5\nl9iyVLKSQm5uLu++++5tdPvOLV68mLKyMoKDg3n++eerpM3f/va3ZGRkkJKSQuvWrUlPTyc9Pf22\nH4J7M9zd3YmNja229q+nKq+ZiIiIVB1HFb5qixsmq5s2baJ79+506NDBuW3QoEGcOXOGyZMn89ln\nnwGwZcsWYmNj2bx5M3v27CEmJoZLl/69vuK2bdsYOXIk4eHhTJkyhdLSUpYsWcKBAwduuUpXWlrK\nSy+9RFhYGMOHD2fNmjUAfP31185tEyZMwGazsX37dkaPHk1ERARDhgzh8OHDvPvuu5w6dYqoqCi2\nbdtGVFQUAB988AFDhgxh1KhRxMXFUVpaSnZ2NpMmTWLcuHE8/vjjt1W1/Pzzz5k4caLz/YgRI8jN\nzaVfv35ER0czdOhQpkyZAkBBQQETJkxg9OjRjB49mr1791bado8ePfDz82P58uXltv+0qj18+HBO\nnDjBwoULeemll3j22WcZMmQI2dnZjBs3jl//+tfk5Fxeku4vf/kLYWFhjBgxgr/85S8AxMbGMm7c\nOEaMGMG6deuc1ywrK4vBgwfz5JNPsnDhwlu+NiIiIiKVuWGyevToUZo2bXrN9iZNmrB9+/Zrtvfp\n04fg4GCSkpJwc3Nzbp86dSoLFy4kIyODhg0bOpOkVq1a3XKVLjMzk1/84hesXLmSN998kwULFnDm\nzBmmT59OYmIimZmZ9OnThwMHDrB//37mzp1Leno6Dz/8MGvXrmXIkCE0aNCA+fPnA5erv2fPnnX2\nb/ny5dStW5fMzEzgcgK5ePFiUlNTWbJkyS31FeC+++5j3759XLhwgf379xMQEEDDhg358ccfmTRp\nEllZWVy8eJFPPvmExYsXExoaSlpaGgkJCcyYMaPSti0WCzNmzCAtLY0jR45cs+96X3t6erJ06VIe\neeQRPv30UxYvXszYsWP58MMPOXDgAGvWrGHFihUsX76cTz75xDkNo2fPnqxYsYK6detisVjIz89n\n6dKlrFixgvfeew+bzUZRUdEtXx8RERGpGmacBnDDpwE0atTIWXG72uHDh+nWrZvz/U/vPrv6fX5+\nPnl5eUyaNAm4PLUgNDT0tjt94MAB5/ne3t60atWKo0ePcurUKecyX4MHDwbgxIkTzJw5E29vb378\n8Ue6dOni7N/VfTx69CitW7fG09MTgHvvvZfPP/+ckJAQ7rnnHgACAwOx2Wy31eeBAweyatUqjh49\nypAhQwD4r//6L+cfAp06deL7779n7969bN26lTVr1uBwODh//vwN2/bz8yM2NpaYmBi6du3q3H71\n+Ox2u/Prdu3aAVC3bl1atmzp/LqkpIS9e/dy4sQJRo8ejcPh4MKFC84k+Ool1ODyNWvTpg3u7u4A\nzmqriIiIGONn+TSAfv368cUXX7Br1y7ntqysLAICAvDw8HDePLR79+5/N2q1lkuO/P39CQwMJDU1\nlfT0dJ577jl69OiB1WqlrKzshp386YVv2bIlO3bsAC5XPffu3UuTJk1o2LChM7F64403WLduHVOn\nTmX27NkkJiaWmzvq4uJSro9NmjRh//79FBcXA5enLTRr1gwoX5W82W+Cnx73xBNPsHbtWnbu3Emf\nPn0A+PHHHzl9+jQA//jHP2jdujUtW7bk6aefJj09nQULFjBw4MCbivfggw/SvHlz3nvvPQDq1KlD\nfn6+M+E9duyY89jK5hG3aNHCOd82IyODJ554grZt2wKX/12v1rRpUw4ePOic7jFhwoRqu5lMRERE\nfp5uWFn18vJi0aJFzJo1i3PnzlFWVkbbtm1JSUnh0KFDxMXFsXr1amdiB9C5c2diYmJISEgALidH\ncXFxREZGYrfb8fX1Zc6cOfj4+FBaWsq8efMqvWFr4sSJ1KlTB4Bf/epXREVF8T//8z+MHDmSkpIS\nfv/73xMQEEB8fDyxsbFYrVYaNmzI008/zW9/+1tGjhyJl5cX9evXdyZTXbt2JTIykt///vfA5YT6\nhRdeIDw8HBcXF4KCgvjDH/7Ahx9+WK4vlSV6lR3XqFEjvL296dy5szPpc3d3JyEhgR9++IFOnTrx\n4IMP0rlzZ6ZMmcLKlSspLCzkhRdeuKl4AHFxcXz55ZcA1K9fn549ezJ48GCaNm3K3XfffVNttG3b\nlh49ejBixAhsNhsdO3as8AaxgIAAnn32WZ566iksFgt9+/at1pvJREREpHL2Gx/yH8fiMGO9uJYa\nN24cU6ZMcX70f//99ztvUPu5KDZwTuslg7/T3W7u75xqc6bE2B9h9S+dNjR+qa9xf0gdGDPYsNgA\nC9/+1tD4r30629D4Zd0GGRrf9YKxnzgZ+b0PUGrw5MeX67U3NP4c28EajffD2YofLXqrAut5V1lb\nd6JWrGCVk5NDcnKysxrpcDiwWCz079+fsLAwg3t3rXfeeYdVq1Zd09/o6Gg6dux4zfElJSWMGDGC\n0NDQ696sdiPx8fHs37//mnhLly51zhcVERERMSNVVqVGqbJqHFVWVVk1iiqrqqwa6edWWT1+puoq\nq3f5q7IqIiIiIlXIjDXIm1puVURERETECKqsioiIiJiEGZ8GoMqqiIiIiNRaqqyKiIiImIQJp6wq\nWRURERExC7sJs1VNAxARERGRWkuVVRERERGTMF9dVcmqiIiIiGkYvAZDtdAKVlKjLhYVGxa7zvdf\nGhYbwNaih6HxUz4/Ymj8x4ONXUWn7S88DIudX1RmWGyABt+sMjT+hN6TDY0/v2iPofFL0hMMje8e\nPs3Q+HUObzc0ftkZY1cQc+9ZsyvY7c+7UGVttWrgW2Vt3QlVVkVERERMwowlSCWrIiIiIiZhN+Gs\nVT0NQERERERqLVVWRURERExC0wBEREREpNYy49MANA1ARERERGotVVZFRERETELTAERERESk1tLT\nAP4DHDt2jAkTJhAREcHIkSNJSEigsLCwwuPXrVtHXl4ex48fZ/jw4RUeZ7PZyMrKqnD/3r17CQ8P\nJzw8nJCQEMLDw4mIiGDz5s13NJ7KBAcHs2HDBuf7LVu2EBsbW23xrpgwYUK1xxAREREBkyWrJSUl\njB8/nrFjx5Kens7bb79NSEgI0dHRFZ6TlpZGQUEBABaLpcLjcnNzeffddyvc36ZNGzIyMsjIyKBB\ngwa8+eabpKen06dPn9sf0A14enoye/Zszp49W20xrue1116r0XgiIiJycxyOqnvVFqZKVjdt2kT3\n7t3p0KGDc9ugQYM4c+YMkydP5rPPPgP+XYHcvHkze/bsISYmhkuXLjnP2bZtGyNHjiQ8PJwpU6ZQ\nWlrKkiVLOHDgAKmpqTfsh8Ph4MoqtgUFBTz88MPO93PnzuWjjz4iPDyc6dOnO6uxp0+fBiAlJYVR\no0YRFhbG2rVrK43j7e3NM888w/Tp06/Z17dvX2w2GwDz5s3j/fffZ9u2bYwZM4bx48fz5JNPkpmZ\nyYsvvkj//v1ZuXJlhWPPzs7mqaeeYtSoUXzxxRfcf//9AHz99deEhYUxfPhwJkyY4IwnIiIixrA7\nHFX2qi1MlawePXqUpk2bXrO9SZMmbN9+7drEffr0ITg4mKSkJNzc3Jzbp06dysKFC8nIyKBhw4Zk\nZ2czbtw4WrVqxfPPP3/DflxdofXx8eHee+9ly5Yt2O12tmzZwsMPPwxA165dycjIoH///ixatIhP\nP/2UY8eOsXz5ctLT01m8eLGz6luRESNGUFBQwOrVqyvsw9Vyc3N5/fXXmT59OosXL2bu3Ln86U9/\nIjMzs8KxA/j5+bF8+XJ69uzpbGv69OkkJiaSmZlJnz59OHDgwA2vjYiIiMitMNUNVo0aNSInJ+ea\n7YcPH6Zbt27O946f/LVw9fv8/Hzy8vKYNGkScHlqQWho6B31a8iQIWRkZGC32wkNDcXV9fJl7969\nOwCdO3dm3bp1NG7cmG+//ZaIiAgcDgdlZWUcO3aM4ODgStufNWsWo0aNYvz48dcd09Vft27dGqvV\niq+vL02bNsXFxQU/Pz9KSkrKjd3hcGCz2QgNDSUoKIjmzZtfE/fUqVPO7YMHD779CyQiIiJVosxu\ndA+qnqkqq/369eOLL75g165dzm1ZWVkEBATg4eFBbm4uALt373but1qt2O3//pf19/cnMDCQ1NRU\n0tPTee655+jRowdWq5WysrKb6sdPk+GuXbty5MgR/vrXvzJkyBDn9m+//RaAnTt30qZNG1q2bEn3\n7t1JT08nPT2dxx57jKCgoBvGa9SoES+88ALz5s1zbvPw8CAvLw+Hw8G//vUv5/arK64/7WdAQIBz\n7BkZGc6xw+Xr9FMNGzbkyJEjALzxxhusW7fuhn0VERGR6mPGaQCmqqx6eXmxaNEiZs2axblz5ygr\nK6Nt27akpKRw6NAh4uLiWL16Nc2aNXOe07lzZ2JiYkhISAAuJ3NxcXFERkZit9vx9fVlzpw5+Pj4\nUFpayrx58yq9YetKGz81cOBA1q5dS8uWLZ3bsrOzeeutt/Dy8iIpKQk/Pz+2bt3KqFGjKCoq4qGH\nHsLLy+umxv7b3/62XLI4ZswYxo4dS5MmTahXr95N9/N6Yz9x4sR1z4+Pjyc2Nhar1UrDhg15+umn\nb6qvIiIiIjfL4vhpeU2qxbJly/D39+fJJ58EIDw8nISEhOt+vG5mF4uKDYtd5/svDYsNYGvRw9D4\nKZ8fMTT+48ENDY3f9hcehsXOL7q5T2WqS4NvVhkaf0LvyYbGn1+0x9D4JekJhsZ3D59maPw6h6+9\nZ6QmlZ3JNTS+e8+anSb35eH8Kmurx90BVdbWnTBVZbUm5OTkkJyc7KxKOhwOLBYL/fv3Jyws7Lrn\nxMEn9BQAACAASURBVMbGkpuby+LFi53bKntM1tXeeecdVq1adU286OhoOnbseIejERERETOpTR/f\nVxUlq7coJCSEjIyMWzonMTHxmm3p6ek3de6wYcMYNmzYLcUTERERMQslqyIiIiImYcanAShZFRER\nETEJM04DMNWjq0RERETEXFRZFRERETGJMhNWVpWsioiIiJiE3Xy5qqYBiIiIiEjtpcqqiIiIiEmU\nmbC0qsqqiIiIiNRaWm5VatSFi0WGxb65NcOqj9H/0dww9uF7douLofEvGVhtcHcx+rvv5+1Fz2BD\n46dcNHa5V6MfZWT0zz6Xm1wxsrp4edbsUs8f7fmxytr6dXCjKmvrTmgagIiIiIhJlBn910E10DQA\nEREREam1VFkVERERMQmjp31UByWrIiIiIiahpwGIiIiIiNQgVVZFRERETELTAERERESk1tLTAERE\n5P+zd+fxMZ77/8dfkxBCIkRsJSURSzmxtKG2UJpDjhYNiQiNnaqqY6mSIiFK7booSmkicixB1Hbq\nW7RCOWJpG+U4IVL5ViqLiCREtpnfH34z34TY2sx1z4nP8/HI45HMJPf7nhGZz1z3dX0uIYQQCsnI\nqhBCCCFEOVEepwE8UyOr165dw9/fn0uXLnH69OkyP/6iRYsIDAzkb3/7G927d2fo0KFMmjSpzHOM\nVq5ciZ+fH3r9/+1M5O/vT3JystkyAaKjo/nuu+/MmiGEEEKIp6fXG8rsw1I8kyOrBw4cwMnJCQ8P\njzI97vTp04F7xVxiYiJTpkwp0+OXJjk5mTVr1jB+/HgAdAq2lfPx8TF7hhBCCCEEPIPFamZmJtHR\n0VSsWJGWLVty9+5dVqxYgbW1Nc8//zxz585lz549fPfdd9y9e5f09HQCAwM5dOgQly5dYvr06fTo\n0eOpMlesWEHt2rUZMmQIWVlZDB8+nBkzZrBmzRp0Oh03btzAz8+PIUOGEB8fz4cffghA9erVWbBg\nAXZ2dg899ujRo4mKiqJHjx40b94cw/8f/o+OjubKlStMnTqV/Px8vL29OXz4MIGBgTRv3pxLly5R\npUoVPDw8OHbsGNnZ2WzYsAFbW1tCQkJISkpCr9czadIk2rVrR58+fXBxcaFixYq4uLhQq1Yt/P39\nmTdvHnFxcRQWFvLuu+8+9XMjhBBCiLIjC6zKgerVq+Pj48OIESNwd3dn1qxZrFy5koiICGrXrk10\ndDQAt2/fZu3atYwePZotW7awcuVKQkND2bFjx1Nn+vr68vXXXwOwZ88e+vbtC0BqaipffPEFW7du\nZePGjWRkZDB79mxCQkLYuHEjXbt2Zd26dY88dpUqVQgNDWXGjBnk5+eXuK/4KGvxz9u0aUNYWBj5\n+fnY2tqyYcMG3NzciI2NJSoqCkdHRyIiIvj888+ZO3eu6fkYP348y5YtMx3n4MGDZGZmEhUVxcaN\nG/nll1+e+rkRQgghRNnRGwxl9mEpnrmR1eIyMjJIS0tj0qRJGAwG8vPz6dSpE88//zwtWrQAwN7e\nHldXVwAcHBweKAifhLOzM3Z2diQkJLBnzx7WrFlDfHw8bdu2pUKFClSoUAE3NzeSkpJISEgwFYiF\nhYU0bNjwscf38PCgY8eOfPrpp6VOAzDc9wv3wgsvAFCtWjXc3NxMjzMvL4/4+HjOnDnDzz//jMFg\noKioiJs3bwLg4uJS4jhXrlyhTZs2pp+fOHHiUz4zQgghhBCP9kwWq1ZWVuj1emrUqEG9evVYtWoV\ndnZ2HD58mKpVq5KcnFzmcz/9/PxYtWoV9erVo3r16gBcuHABg8HA3bt3uXz5Mo0aNcLV1ZXFixdT\nt25dzp49S3p6+hMdf/LkyQwYMMD0/ZUqVSItLQ3ggRHPRz22xo0bU69ePcaOHUteXh5r1qwxne/9\nP+fm5sY///lPALKzs5k0aRLr169/ovMVQgghRNkrsqAR0bLyzBWrOp2Oli1bsmTJEho3bszMmTMZ\nO3Yser0ee3t7Fi1aZJbV9F5eXoSGhpa4jF5YWMjo0aPJzMxk/PjxVK9enZCQEKZNm0ZRURFWVlbM\nnz//iY5vY2PDRx99xKBBgwDw9PRk8+bNDBkyhBYtWmBvb296/Ealfe7v78+sWbMIDAzk9u3bBAQE\noNPpSi1we/TowfHjxxk8eDB6vZ4JEyY8/RMjhBBCiDJjSav4y4rOcP81YmEWubm5DB06lKioKABi\nY2PZunVrieL1WZB9J1ezbPP3SXg0rf+jVUT/+G8yI73OWtP8Ag3/gNtYa/3b92ybbNtc0/zldy5q\nmq/13EOt//ZZK+iS8yhVbCsrzfsy9mqZHWt0+8dPRVThmRtZLQtz587l8uXLptFGg8GATqfjyy+/\nxMbG5oHv//HHHwkODv5DczoLCgoYOXLkAyObLi4uprmtQgghhBCgfTeAvLw8pk2bxo0bN7Czs2Ph\nwoXUqFHjge8zGAyMHTsWLy8v/P39H3lMGVkVSsnIqnZkZFVGVp9VMrIqI6taUj2yuvpfv5bZsd7u\n0OipfyYsLIycnBwmTJjA/v37+fHHH5k5c+YD37dixQpOnjyJj4/PY4vVZ651lRBCCCGEMI8zZ87Q\ntWtXALp27cqJEyce+J4DBw5gZWVFly5dnuiYMg1ACCGEEKKcUNkNYPv27YSHh5e4zcnJybSZUdWq\nVcnJySlx/6VLl9i7dy+ffvopn3/++RPlSLEqhBBCCFFOFCmc8uTr64uvr2+J2959911u374N3NtQ\nyNiNyGjXrl2kpqYydOhQrl27ho2NDfXr13/kKKsUq0IIIYQQoky8+OKLHDlyBHd3d44cOYKHh0eJ\n+6dNm2b6fOXKldSqVeux0wFkzqoQQgghRDlRpDeU2ccfERAQwKVLlxg8eDBRUVGmHuxhYWF89913\nf+iY0g1AKCXdALQj3QCkG8CzSroBSDcALanuBrDkyOUyO9a0bm5ldqw/Q0ZWhRBCCCGExZI5q0II\nIYQQ5YTKBVaqSLEqlKpgpd3lGOs7GZplAxRVcdQ0v1rHdzXNz/l+sab5ukp2mmVXuhanWTZAUbW6\nmubfjl6jab7Wl+GnVNF2GsKKXG0fv3Vupqb5FBVqm2/bQNv8ckCKVSGEEEKIckJGVoUQQgghhMUq\nj8WqLLASQgghhBAWS0ZWhRBCCCHKifI4sirFqhBCCCFEOVEei1WZBiCEEEIIISyWjKwKIYQQQpQT\n5XFkVYpVIYQQQohyojwWqzINQAghhBBCWCwpVkWp1q1bR5cuXcjPz9f6VIQQQgjxhAr1hjL7sBRS\nrIpS7dmzh9dff519+/ZpfSpCCCGEeEJFekOZfVgKmbMqHhAbG0vDhg0ZNGgQ7733Hj4+PsTFxREa\nGoqdnR2Ojo5UqlSJjz76iIiICPbt24dOp+O1117jzTff1Pr0hRBCCFGOyMiqeEBUVBS+vr40atQI\nGxsb4uLimDNnDosWLSIsLAxnZ2cAEhIS+Oc//8nmzZuJjIzk22+/5ddff9X25IUQQohnmIysinIv\nKyuLmJgYMjIyiIiIICcnh02bNpGamkrjxo0B8PDwYP/+/cTHx5OcnMywYcMwGAxkZ2dz9epVGjVq\npO2DEEIIIZ5RRQbLKTLLihSrooSvv/4aX19fpk2bBsDdu3d59dVXsbW1JSEhgcaNG/Pzzz8D4Orq\nSpMmTVi3bh0AYWFhNGvWTLNzF0IIIUT5I8WqKGHHjh0sXrzY9HXlypXp1asXNWvWZObMmVSpUoWK\nFStSp04dmjVrRocOHQgICCA/P5/WrVtTp04dDc9eCCGEeLZZ0uX7siLFqihh165dD9wWHBxMZGQk\nq1evpkaNGnz88cfY2NgAMGrUKEaNGqX6NIUQQghRCilWxTPLycmJkSNHUqVKFezt7Vm0aJHWpySE\nEEKIZ4AUq+KJ9OrVi169eml9GkIIIYR4BBlZFUIIIYQQFqtIr9f6FMqc9FkVQgghhBAWS0ZWhRBC\nCCHKCZkGIIQQQgghLFZ5LFZlGoAQQgghhLBYMrIqhBBCCFFOFJbDkVUpVoUQQgghygmZBiCEEEII\nIYRCMrIqlLIqKtAsu6iKo2bZALPtW2ian5V1XtP83z7Qdlve5xas1yw7r34rzbItgU1gsKb5eoO2\nI00rci9qmj/Ztrmm+Vo//meNjKwKIYQQQgihkIysCiGEEEKUE+VxZFWKVSGEEEKIcqI8FqsyDUAI\nIYQQQlgsGVkVQgghhCgnyuPIqhSrQgghhBDlhKEcFqsyDUAIIYQQQlgsGVkVQgghhCgn9OVwZFWK\nVSGEEEKIcsKg8SYY5iDF6h8QGxvL0KFDWb58Ob179zbd3rdvX1q2bMnJkyepX78+Op2OoqIicnNz\nmTdvHi1btiQwMJC8vDxsbW0xGAxUrFiRhQsXUqtWrVKzVq5cSa1atfD39zfLYynt+P7+/qxYsYKT\nJ09SvXp1unfvXurPBgUF8dprr9GlSxeznJsQQgghhBSrf5Crqyv79+83Favx8fHcvXsXAJ1Ox4YN\nG6hYsSIAx44d47PPPmPNmjUALF68mEaNGgGwefNmNmzYwPTp09U/iIfQ6XQA+Pj4aHwmQgghhHga\nssBKmDRv3pzk5GRycnIA2L17N3369DHdX3wYPjk5GQcHB9PXer3e9PmtW7eoUqXKU+dv2LABX19f\nBg0axLJly9Dr9fTs2RO9Xk9qaiotWrTg1q1b5Ofn079//6c6tvHcV65cydatWwGYM2cOAwcO5O23\n36ZPnz4kJycDsGXLFoYNG8aAAQM4d+7cUz8OIYQQQpQdvd5QZh+WQkZW/4SePXvy7bff4uPjQ1xc\nHGPHjiU5ORmDwcCoUaO4e/cuqampdO3atcTI6YwZM6hcuTJWVla4uLgwbdq0p8qNj4/nwIEDbNu2\nDSsrKyZOnEhMTAzt2rXj7NmzJCUl0bRpU06cOIGtre1jL9Nv2LCBffv2AfcK1YSEhBL3Hzp0iKys\nLLZt20ZGRgbe3t6m+/7yl78wbtw4oqOjiY6Oxt3d/akeixBCCCHEo0ix+gfpdDpef/11QkJCaNCg\nAe3atStxn3EawIoVK/jtt99wdHQ03V98GsAfceXKFVq3bo2V1b2B8RdffJHLly/Ts2dPYmJiuHbt\nGpMnT+bgwYNYWVnh5+f3yOONHDmyxJzVQYMGlbg/ISGBNm3aAODo6Iirq6vpvpYtWwLg5OREbm7u\nH35MQgghhPjzDPrHf89/G5kG8Cc0aNCA3NxcIiIi6Nu3b4lL/8bPJ02aRGpqKpGRkQ/c96Tu/35X\nV1fi4uLQ6/UYDAZOnz5No0aN6NixI7Gxsdy8eZNu3bpx/vx5/vOf//CXv/zlT+U1a9aMn376Cbg3\nbSExMdF0n3F+qxBCCCG0ZzAYyuzDUsjI6p/Uu3dvdu/eTcOGDUlKSnrgfp1Ox4cffsibb75Jz549\n/1Bxt3btWrZv347BYMDOzo7w8HC8vb0ZNGgQBoOBl156CS8vLwCee+456tevD4CLiwtOTk5PnXf/\nOXbr1o0jR44QEBCAk5MTtra2VKggvzpCCCGEMD+dwZJKZ2GRrly5wsWLF+nduzeZmZm8/vrrfPfd\nd6ZuB08j73a2Gc7wyeitn/58y9Js+xaa5n+YdV7T/OQPRmma/9yC9ZplG57xKxBav8roNT4Baytt\n//0n2zbXNH9F7kVN87VmW7my0ryOCw6V2bFOfPBqmR3rz5DhMQtQUFDAyJEjHxjRdHFxYe7cuZof\nv169eixdupTw8HD0ej3Tpk37Q4WqEEIIIcyrPLaukmLVAlSsWJGIiAiLPb6trS2rVq0qwzMSQggh\nhHgyUqwKIYQQQpQTMrIqhBBCCCEsltZztM1BWlcJIYQQQgiLJSOrQgghhBDlhEwDEEIIIYQQFqs8\nFqsyDUAIIYQQQlgsGVkVQgghhCgn9OVwZFWKVSGEEEKIcqI8bkwqxapQqshKu52v1tRqpVk2wLzs\nC5rmZ+frNc23nrVW03ydvlCz7Owia82yASpX0Ha7zypJpzXNv/O8h6b51rmZmuZrvd2p1tu9Lr39\nb03zxZ8nxaoQQgghRDlh0HZcwixkgZUQQgghhLBYMrIqhBBCCFFOyAIrIYQQQghhsaTPqhBCCCGE\nEArJyKoQQgghRDlRHkdWpVgVQgghhCgn9OWwz6pMAxBCCCGEEBbrmS1Wr127hr+/P5cuXeL06bJv\nWB0YGMjJkydL3DZ//nyioqL46KOPuH79eqk/d/ToUaKiokznd79169Zx7tw5oqOjWbZsGenp6YSG\nhgJw+vRp4uPjn+o8Y2Nj8fDwICUlxXTbsmXL2LVr11MdRwghhBDaM+gNZfZhKZ7ZYtXowIEDXL58\nucyPO3DgwBIFX0FBAd9//z19+vQhKCiIunXrlvpznp6e+Pn5AaDTPbjrzJgxY3B3dzfd7+TkRHBw\nMAA7duwoUXQ+KRsbG4KCgp7654QQQghhWaRYLWcyMzOJjo4mLCyMc+fOcerUKQYPHkxgYCAzZ86k\nsLCQ6OhoJk6cyNixY+nfvz/R0dFMmDCBXr16cfjw4Yceu1evXpw8eZK8vDwADh06ROfOnalcuTKB\ngYEkJiZy9uxZ/P39efPNNxk9ejR37twxjZgC3Lhxg/Hjx+Pv78/q1asBCAoK4tixY6Yc4wjs+fPn\nOXr0KEuXLmXXrl38/e9/N31PQEAAaWlpDz3XDh064ODgQGRk5AP3bdq0iUGDBhEQEMCmTZvIzMzk\njTfeAOCnn36iffv2AKSkpDBq1KgnfeqFEEIIIZ7IM73Aqnr16nh6elKrVi3c3d3p1asXmzdvxtHR\nkU8++YTo6GgqVKjA7du3Wb9+Pfv37yc8PJytW7dy8uRJNm7cSI8ePUo9to2NDa+++irffvstr7/+\nOjt37mTKlCnA/42YHjx4kL/97W8MGzaMw4cPk5WVVeL+3NxclixZgq2tLUOGDKF79+6lZul0Olq2\nbImnpyevv/46nTt3Zu3atWRnZ5OSkoKjoyO1atV66POg0+kICQnBz88PT09P0+0JCQns37+fzZs3\nYzAYGDFiBJ07d6ZGjRqkpKRw9OhRnnvuOc6dO8e5c+fo2bPn0/8jCCGEEKLMaL0pQF5eHtOmTePG\njRvY2dmxcOFCatSoUeJ7NmzYwN69e7G2tuatt97Cy8vrkcd8pkdWi8vIyCAtLY1JkyYRGBjI8ePH\nSU5OBqBFixYA2Nvb4+rqCoCDgwP5+fmPPKafnx+7du0iJSWFrKwsmjdvDoDh/6/UGzduHCkpKQwb\nNowDBw5gbW1d4uebNWtG1apVsbKywt3dnV9//fWxj8N47L59+7Jnzx527NiBr6/vY3/OwcGBoKAg\npk+fbjpGfHw8ycnJDBs2jGHDhnHr1i2SkpLw8vLi+++/58cff2Ts2LH88MMPxMTE8Ne//vWxOUII\nIYQwH4PBUGYff8TmzZtp2rQpkZGR9OvXj1WrVpW4Pzs7m4iICKKioli/fj0LFix47DGf+WLVysoK\nvV5PjRo1qFevHqtWrSIiIoK33nqLDh06AKXPHX0STZs25fbt20RERDBgwIAH7t+9ezcDBgxg48aN\nuLm5sW3bthL3JyQkkJubS2FhIXFxcTRp0uSReTqdjqKiIgB8fHz45ptvOHPmDN26dXui8+3evTsu\nLi7s3LkTABcXF5o0acLGjRuJiIjgjTfeoFmzZnh5ebF3717s7Ozw9PTk4MGD5Ofn4+jo+EQ5Qggh\nhCifzpw5Q9euXQHo2rUrJ06cKHG/ra0t9evX5/bt29y5cwcrq8eXos/0NADj5fMlS5bQuHFjZs6c\nydixY9Hr9djb27No0SLT6OofNWDAAJYsWcL3339fIhegVatWzJw5E1tbW6ytrQkNDSU2Ntb0fdWr\nV2fy5MlkZGTQu3dvGjdu/Mis1q1bs3z5cpydnXF1daVq1aq0bdv2iX4RjD744AP+9a9/AdC8eXM6\ndOhAQEAA+fn5tG7dmjp16qDT6cjPz6dTp07Y29tToUIFXnnllSd/UoQQQghhFioXRm3fvp3w8PAS\ntzk5OWFnZwdA1apVycnJeeDn6tSpQ+/evTEYDIwdO/axOTrDHx3nFRZv3LhxzJw5E2dnZ61PxeRO\n7l3NstfUbqVZNsDbaXGa5ufk6zXNv1OgbX7dytr9qcsqsn78N5lR5Qp/7OpQWamSVPbtAZ/Gnec9\nNM2vlHdL0/wi2+qa5k+2ba5p/tLb/9Y0366KrdI8l7Hby+xYiWsfP43wfu+++y5jx47F3d2dnJwc\nAgIC2LNnj+n+w4cPEx4ezpdffonBYGDUqFG8//77pk5HpXmmR1bLwty5c7l8+bJptNRgMKDT6fjy\nyy+xsbHR5Jzy8vIICAigU6dOpkLVEs9TCCGEEOXLiy++yJEjR3B3d+fIkSN4eJR8s1itWjUqV65M\nxYoVgXvrgbKzsx95TClW/6SQkBCtT+EBlSpVMs07NbLE8xRCCCFE2TLoizTNDwgIYPr06QwePBgb\nGxtTO86wsDAaNmxI9+7dOXHiBAMHDsTKyoqXXnqJTp06PfKYUqwKIYQQQpQTWherlStX5pNPPnng\n9uHDh5s+f/fdd3n33Xef+JjPfDcAIYQQQghhuWRkVQghhBCinNB6ZNUcpFgVQgghhCgnDEXlr1iV\naQBCCCGEEMJiyciqEEIIIUQ5IdMAhBBCCCGExSqPxapMAxBCCCGEEBZLRlaFEEIIIcqJ8jiyKsWq\nUEqn4Rbl41LjtAsHdAbt9qYHKNI4/zl9hqb5hrhTmmXfWB+hWTbAVxu1/d2fd2SJpvnWDTX8wwNQ\nVKhtvsaW3v63pvnvVX1B0/w1hl+V5pXHYlWmAQghhBBCCIslI6tCCCGEEOWEjKwKIYQQQgihkIys\nCiGEEEKUE/pyOLIqxaoQQgghRDkh0wCEEEIIIYRQSEZWhRBCCCHKifI4sirFqhBCCCFEOWEoKn/F\nqkwD+INiY2OZMmXKH/75yMjIMjybB61cuZKtW7cCsG3bNor+xC9vUVERgYGBBAQEkJ2dXer3nD59\nmvj4+D+cIYQQQghRGilW/wTdn9iOafXq1WV4Jo+2Zs2aP1WspqSkcOfOHTZv3oy9vX2p37Njxw5S\nUlL+cIYQQggh/jyDvqjMPiyFTAMoQz/88AOffPIJlSpVokaNGixYsAA7OzvmzZtHXFwchYWFTJgw\ngUuXLnHr1i1CQ0O5desWffv2pVu3biQkJLB48WK8vb05ePAgt2/fJjMzk/Hjx9OzZ09iY2P5+OOP\nsba25vnnnyc0NBRra+tHntP27dtJT09nypQprFy5kuXLl3PmzBmKiooYMWIEvXr1IjAwkObNm3Pp\n0iWqVKmCh4cHx44dIzs7m/Xr1zNnzhyuXr1KSEgI48ePJyQkhIKCAlJTU5k0aRJ169bl6NGjXLhw\ngSZNmlC3bl1Fz7gQQgghirOkIrOsyMhqGQoODubzzz8nIiKCdu3a8fnnn3Pw4EEyMzOJiopi48aN\nnD9/nnHjxuHg4EBwcDADBw4kOjoauDc66efnB8Ddu3cJCwtj/fr1LFy4kMLCQmbPns3KlSuJiIig\ndu3a7Ny587Hn5OvrS61atVixYgUxMTFcu3aNyMhINm7cyOrVq02X9du0aUNYWBj5+fnY2tqyYcMG\nGjduzKlTpwgJCcHNzY25c+dy5coVRo0axfr16wkNDeUf//gHLVu2xNPTk2nTpkmhKoQQQogyJSOr\nZSQjIwN7e3tq1aoFgIeHB8uXL8fR0ZE2bdoAYG9vz8SJE0v83Msvv8yHH35IRkYGx48fZ+rUqeze\nvZt27doBULNmTRwcHEhNTSUtLY1JkyYBkJeXR6dOnZ7o3AwGAwaDgfj4eH755ReGDh2KwWCgqKiI\na9euAfDCCy8AUK1aNdzc3Eyf5+XllThWrVq1WL16Ndu3bwegoKDgqZ8rIYQQQphHeRxZlWL1TzAY\nDKbPa9SoQU5ODunp6Tg5OREbG4uLiwuNGzfmn//8JwDZ2dlMmjSJ9evXl/jZfv36MX/+fDp37my6\nrH/+/HkA0tPTycnJoV69etSrV49Vq1ZhZ2fH4cOHqVq16hOdp7W1NXq9HldXV15++WVCQ0MxGAys\nWrUKZ2dn4Mnn337yyScMHDgQT09Pdu7caRoV1ul0f2perBBCCCH+PINer/UplDkpVv+EH374AV9f\nXwwGAzqdjrfeeosJEyZgZWVFtWrVWLhwIdWrV+f48eMMHjwYvV7PhAkTAHBzc+P9999n8eLF+Pj4\n8PHHH7N3717TsdPS0hg+fDg5OTnMmTMHnU7HBx98wNixY9Hr9djb27No0aInOs+XXnqJsWPHsnHj\nRmJjYxkyZAi5ubl4eXlRtWrVEoXqwz438vb2ZtGiRaxdu5Y6deqQmZkJQOvWrVm+fDnOzs64urr+\noedTCCGEEOJ+OkPxIT6hiZSUFGbMmMFXX30FQHR0NImJiX+qNZalyr17V7NsrX/TrdD2BDLztX23\nXTP/hqb5hsunNMu+sj5Cs2yArzbGaZo/78gSTfML27ymaX6F2+ma5hfZOWmbr9f2b997VV/QNH+N\n4VeledVemV5mx8r6/skGxcxNRlY19u233/LZZ58xd+7cp/7Z33//nffff980Amoc4W3fvr1pBFcI\nIYQQzw6ZsyrK3F//+lf++te/lrjNx8fniX62Xr16RERoO2IjhBBCCGFOUqwKIYQQQpQTehlZFUII\nIYQQlspQDjvzyKYAQgghhBDCYsnIqhBCCCFEOSELrIQQQgghhMUqj8WqTAMQQgghhBAWS0ZWhRBC\nCCHKifI4sirFqhBCCCFEOVEei1XZblUIIYQQQlgsmbMqhBBCCCEslhSrQgghhBDCYkmxKoQQQggh\nLJYUq0IIIYQQwmJJsSqEEEIIISyWFKtCCCGEEMJiSbEqhBBCCCEslhSrQgghhBDCYkmxKixeYWFh\nia+zsrKU5qelpSnNsyS7d+/W+hRMfv/9d01yr1+/DsC5c+c0yddabm4uAKmpqcqz8/Pz+fe/ynVe\nEAAAIABJREFU/w3AwYMHKSgoUH4OWvr11185cuQI169fR/bvUcv4/97oypUrGp2JAClWhQVLS0sj\nMTGRwYMH8+uvv5KYmEhCQgIjR45Ueh4TJ07knXfe4bvvvkOv1yvLTUtLY9GiRXz22WfcuXNHWW5x\n27Zt0yTX6Msvv2Tbtm18+eWXjBo1io8++khpfnBwMPv27QPg66+/5sMPP1San5SUxN69ewFYtmwZ\nv/32m9L8lStXsnr1agA+/PBD1q5dqzT/vffe48KFCwAkJiYyY8YMpfmHDx/m008/BWDUqFEcO3ZM\nWfamTZsICQlhxYoVfPPNN8ybN09ZttG5c+cIDQ0lKCjI9KHSqFGj2Lp1KxkZGcoy4+PjOXr0KG+9\n9RbHjh3j2LFjHDlyhMmTJys7B/Eg2W5VWKyDBw8SHh7OxYsXad68OQBWVla0bduWSZMmKT2Xy5cv\ns2PHDs6cOUPHjh3x9fXF2dnZrJmjRo3Cy8uLW7dukZKSQkhIiFnzSjNw4EDy8/NxcXHByuree9tl\ny5Ypzd+0aROjR49m48aNDB06lI0bNyrL9/X1Zfv27aavhwwZQmRkpLL8QYMGMWPGDNq0acOpU6dY\nuXIl4eHhyvL79+/Pzp07S5zPli1blOX7+/uzdetW09eBgYFEREQoy/fx8WHjxo3Y29uTnZ3NmDFj\nlD3+gIAAIiMjGTZsGBEREQwYMIAdO3YoyTYaMGAAb775Jk5OTqbbPD09leWnpKRw6NAhYmJiyM/P\n55VXXmHo0KFmzTx9+jQ7duzg6NGjpseq0+lo3bo1/v7+Zs0WD1dB6xMQ4mG8vLzw8vLiyJEjdOvW\nTdNzqVOnDs7Ozpw/f574+Hjmz5+Pm5sb7733ntkyCwoKCAgIAGD48OFmy3kUcz6+J2FlZUV6errp\nxfLu3bvKz+HmzZvUqFGDrKwsioqKlOe3adMGgHbt2ikd2Yd7L9L5+fnY2NhQUFCg/FK0TqcjMTER\nFxcXkpKSlD/+ChUqYG9vD4C9vb3pDZsKBoMBnU6HTqcDwMbGRlm2kZ2dHT4+PspzjerUqYO7uztZ\nWVkcPHiQ/fv3m71Y9fDwwMPDg/Pnz9OyZUuzZoknJ8WqsHgGg4G33nrLNHcOUDq69ve//51Lly7R\nt29flixZQp06dYB7o07mZHyRApS/SBs1bdqUY8eOUVhYiMFgIDU1lfbt2yvLf/nllwkMDGTJkiUs\nWLBA+ZuWd955hwEDBuDg4EB2djbBwcFK86tVq8bWrVtp06YNcXFxVK1aVWn+oEGD6NOnD02bNuXK\nlSuMHj1aaX5QUBCTJ08mPT2d2rVrM3fuXKX5rVq1YurUqabnv0WLFsqyX3vtNYYMGUJycjJjxozB\ny8tLWbZxuoO9vT1r1qyhZcuWpr9HXbp0UXYe7du357nnnmPs2LF89dVXpjcOKly/fp3ly5eb3qRl\nZmayZ88eZfmiJJkGICyej48PQUFBJS5Fubq6KsvftWsXb7zxhunrK1eu4OrqSl5eHpUqVTJb7sCB\nA1m8eDF6vZ4ZM2awePFi08iWi4uL2XKLe/PNN3F1dSU+Pp5KlSpha2vLmjVrlGQXl5mZSZUqVTQZ\nXSoqKuLmzZvUrFmzxBsIFTIyMli9ejWJiYm4ubkxduxYHB0dlZ/D//7v/+Ls7Kw82xIcPHiQK1eu\n4ObmRo8ePZRmJyQkEB8fj6urK82aNVOW+6i5qSrnjf/0008cPXqUH3/8ETs7Ozp16sSgQYOUZPfp\n04fQ0FC2bNnCyy+/zPHjx1m6dKmSbPEgGVkVFs/BwUHpaJ5RfHw8KSkpfPXVV9SqVQuDwUBRURHL\nly/n66+/NmuhClCpUiVmz579wOc6nU7ZyLLBYDAtsJg/fz6DBw9Wkmt06tQp5s6dS1FREd7e3jz3\n3HP4+fmZPTc0NJTg4GD8/f0fKFBVzFm8fv06devW5datWyWe81u3bikpGFetWsX48eOZMmXKA49f\nxZzliRMn8umnn5Y6iqdikdN3331H9+7dTfNlHRwcSEtLY+vWrcrmLRYvGGNiYqhYsSJ169ZlyJAh\nODg4mDXbWJAmJyeXuL1ChQoUFBRQsWJFs+YbtWnThnr16lG7dm327t1LdHS0smK1du3atG3bli1b\nttC/f3+io6OV5IrSSbEqLJbxhaJixYrMnj27xKUoFS8YWVlZ7N+/nxs3bphWZOt0OmUF28MWkqhs\npWVtbU1eXh65ubnodDrlczY//vhjNm3axLvvvsu4ceMICAhQUqyOHz8egAULFlC5cmWz593vq6++\nIigoiODgYNPvvHEOo4o3KsYRxN69e1OtWjWz593PuAJ/yZIldOzYUXl+ZmYmoG3bury8PJydnfHw\n8ODnn3/m3LlzODo6Mn36dGVXN9566y1SUlJwdXUlMTERW1tbCgsLmTZtGv369TN7/htvvEGNGjXw\n8vJi6dKlpilYKlSsWJFTp05RWFjI0aNHuXnzprJs8SApVoXFMr5QtG7dGoD09HSl+VpPtD9//jyf\nffYZDg4OTJ8+HUdHRyIjI1mzZg1Hjx5Vcg5DhgwhLCyMzp07061bN1566SUluUZWVlZUr14dnU5H\npUqVlM3ZNE45mTVrFps3b1aSWZxxVK1bt27K54kCpu4b69ev1+TxG61cuVKTYtW4qCgxMVFp94vi\nMjIyWL58OXBvBf7IkSOZNGkSQ4YMUXYODRo0IDw8HEdHR27dusWsWbOYN28eY8aMUVKshoWFcfPm\nTZKSkjAYDKY3bOaUnZ2Nvb09c+fO5cqVK7z99tt88sknvP3222bNFY8mxaqwWBMmTADuXQourkKF\nCqbLpOZkvBQcGhqqyaXg2bNnM2XKFJKTk1mxYgV37twhNTWVTZs2mT3bqFevXsC9kaa//e1v2NnZ\nKcsGeP7551m2bBmZmZmsXbuW5557Tml+lSpVWLBgQYnWXSrb18TExDBixAisra2VZRbn4OBAeHh4\nicevcoGNTqfjnXfeKZE/ZcoUZfkFBQVcvHgRFxcX5avyc3JySEhIoHHjxiQkJHDnzh1u3ryptOfy\njRs3TNNOHBwcSE9Pp3r16sq6Iuzdu5dvv/2WW7du8cYbb5CUlGT2RY5jx45l8+bNrFq1yrSg77PP\nPjNrpng8KVaFxfv4449JT0+nZcuWXLhwgYoVK5Kfn4+fn59ZR52Ml4KNoxuq2dramgqDzz//nDfe\neIOlS5cqXeSj1ZxRo7lz5xIVFcVLL71ElSpVlDdGb9u2LXDvRVsLN2/exNPTkwYNGpjaGKnsc1qj\nRg0uXrzIxYsXTbepLFYHDBigLKs0iYmJpr8DcK94PnTokJLs4OBgpk2bRmpqKpUrV8bHx4f9+/cz\nbtw4JfkALVq0YMqUKbRp04affvqJF154gf3791OzZk0l+fv27TP1mh0+fLiS34cKFSowYMAArl69\nyn/+858S96n8vydKkmJVWLzKlSuze/duKlWqRH5+Pu+++y6fffYZb775plmL1fDw8IcWhipGd4qP\nptWuXVuTHVS0mjNafBGNs7OzaQOG2NhYpcXShAkTOH78OP/7v/9L69atlXVhMNKi80JxH330EYmJ\niSQlJdGsWTNq166tNL9Pnz5ER0eTnJxMhw4daNKkidJ8Y6uimzdvmqajqNKqVSvmzJnDpk2b+OGH\nH7hx4wbvvPOOsnyAOXPmcOjQIRISEujXrx/dunXjypUrdO/eXUm+Fr1mw8LCSElJYc6cOZpsxCJK\nJ8WqsHg3b940rby3sbHh5s2b2NjYmL33qMr2WKUxGAymHn+VK1cu0ZRd1aVIreaMGrc4LY3KYnX5\n8uVcv36dhIQEbGxsWLt2rdKR9goVKrBkyRIyMjLw9vamWbNm1K9fX1n+pk2bTJdhfXx8uHr1qtJe\nsyEhIdSuXZvjx4/j7u7O9OnTWbdunbJ8La4s5Ofnm0YUbWxsyMnJ4dChQ0oX+pXWDeH69etKuyEA\nvP7668p7zVpbW/Pcc8+xdOlSTp06RV5enuk+lf/3RElSrAqL9+qrrxIQEECrVq04d+4cPXr04B//\n+IfZR1nc3Nxwd3dXuh94cdeuXcPb29tUoBrnj6q8FKnVnNGH9XJMTU1Vkm905swZIiMjCQwMxMfH\nR/lio9mzZzNixAhWrVqFh4cHM2bMYNu2bcryi1+GHTZsmPLL8klJScyfP5/Tp0/To0cP1q5dqzRf\niysLPXr04PXXX2fp0qU0atSI0aNHK+9IYQndEOBen+eOHTsSHx+Pi4uLaeGfCqNGjaJx48ambhg6\nnY7evXsryxclSbEqLN4777zDq6++ypUrVxgwYABNmzYlIyPDtBWpufzrX//C3d291FE+FaN7hw8f\nNnvG4xSfM2pra6t8zugnn3zC5s2bKSgo4O7duzRq1OiRo65lraioiLy8PFPbLpXbbcK97WU7duzI\n6tWrcXV1NXtv3/tpveVnUVERGRkZ6HQ6cnJylD//WlxZGDZsGHv27OHatWv4+voq3+IW7u0cl5yc\nbPZd+h5m165dD9xmnDtdfIMWc7K3t2fhwoVKssTjSbEqLFZUVBR+fn4sW7bM9GJpXOihYs7omDFj\ngHujfBcvXuTXX3+lSZMmNG7c2OzZoO0uMsuWLWPSpElUqFDB7G8KHuXw4cPExMSwYMECRowYoXy7\nzWHDhtG/f38yMjLw8/Nj+PDhSvMrVarE0aNH0ev1/PTTT8qLRS0uwxY3adIkAgICSEtLw9/fnw8+\n+EBpvhZXFsaMGcOYMWOIjY0lKiqKX375hSVLltCvXz+aNm1q9nyAyZMno9PpMBgMJCQk4ObmZnrj\nomKRUUJCQomvDQYDO3fupHLlysqK1S5durB582bc3NxMt7Vr105JtniQbLcqLNbRo0fx9PQsdecQ\nYx9EFVavXk1MTAzu7u7ExcXh7e2tpGjp06cPd+/epW/fvrRt27bECIunp6dZsxcuXMjZs2dZsmQJ\nDRs2NGvWo4wePZovv/ySadOmsWTJEgIDAx+6WYK53Lp1i6tXr+Ls7EyNGjWUZl+/fp1FixYRHx9P\n48aNmTZtmmmxmSpabflZXEZGhiZbvRYWFhIVFWV6/v39/ZXt3mSUlZXF119/zY4dO0odcTQ3Lf7P\nFZeUlMT06dNxcXHhgw8+UNY+b/z48eTn55eYBqBVz10hxar4L1BYWPjAimCVL1z+/v5s3rwZKysr\nCgsLGTx4sLJ5g/Hx8ezevZu4uDjatWtH3759lRWPZ8+eZf78+fj7+5cYzVA5ujdr1izatGlDXFwc\nDg4OxMTE8PXXXyvLP3z4MDt37iyxyELlAh+412+zeL6qtkEAcXFx7Nu3r0T+nDlzlOVv2bKFrVu3\nlsjfv3+/svzs7GxiY2NL5D9r8xaHDh2qbHvn+0VGRhIeHk5QUJCyDgRGw4cPJywsTGmmeDiZBiAs\nntYrgmvWrElubi5Vq1aloKBAaaHctGlT3nvvPeDeyuRly5Zx/fp1JcXyiy++SGhoKMOHD+eLL74w\nXQZUtbgL7m3M8Pvvv+Pt7U10dLTykY1FixYRGhpq9r3YH+b999/n7Nmz2Nvbm55/lXuUT58+nTFj\nxmiy5SrAxo0bWbt2rWbP/8iRI3Fzc8Pe3h6QRTaqpKSkEBQUhIODA1FRUZr8+zdp0oR9+/bxwgsv\nmKahqW5dJ/6PFKvC4mm1Itjf3x+dTseNGzfo1asXzZo1IyEhgerVqyvJN8rJyeHbb79l79695Obm\n0rdvX7NnFhYW8vnnn7N//34+//xz2rdvb/bM+x08eBAvLy+qVavG559/jo2NjfIdrJo0acLLL7+s\nNLO4xMREDh48qFl+w4YNNVtkA9CsWTPq1aun2Q5e9vb2Zp8fbomMLavgXuFY/GsVratee+01bGxs\n6NChA6GhoSXuU/WG9f7NMHQ6nWYjzEKKVfFfQKsVwVrtXGW0f/9+9u/fT3JyMj179mTu3Lk0aNBA\nSXb//v1p1aoVO3fuVNZbtbilS5dy9epVXnnlFebNm4etrS116tRhzpw5LF68WNl5vPrqq/j7+5fo\nuauyeGnVqhVXrlzRrOdvr169mDx5colFhcZtkFXo0KEDXl5eODs7m0aWVRYMz+oim+Itq/r06aO8\nhdWqVaseeX9+fr7ZpyNFRESQnZ3NtWvXcHZ21uTvoPg/UqwKi3f/iuCZM2cqyT1+/PgD3QiMVHQj\nmDJlCq6urjRv3pz4+HhWrFhhus/cowtTpkzhlVdeeej9xlFPczl9+jRbtmyhsLCQI0eO8P3332Nr\na6u8M0FERASjR482XQZWzc7ODl9fX6pUqWK6TWXf38jISHr27KnZNICtW7fy8ccfa/b8nz59mvz8\nfE6dOgXcG117ForVx70hCQkJMWtnjsddyRk9erTZ37QcOHCA1atXmzaE0Ol0JbbeFWpJsSos1sWL\nF2nevDnt27fnwIEDZGRkUKNGDWVbHtatWxfQbierx/0xNufowqMKVbh3buYsVo2jGHFxcTRp0gRb\nW1sACgoKzJZZGicnJ03nKJ48eZLY2FgqVNDmT3X16tUZO3asJtkAderUwd3dXXl/VaM7d+7IIptS\nJCYmapqvYl34V199xbZt2xg1ahTjx49nwIABUqxqSIpVYbHmz5/P77//Trt27fD09KRLly5K9+Y2\ntofq1asXWVlZWFtbs23bNmV9/ixhdOFhzP1iUaFCBY4dO0Z0dDQ9e/YE7i0wUz3CV7lyZUaNGkWL\nFi1Mv3sqRtWNGjVqxI0bN6hTp46yzOJq1KhBcHBwicevcrvN/Px8+vXrR5MmTUz5KhfZySIby6Ti\ndcDa2hobGxvTphjGN8xCG1KsCosVERFBfn4+P/74o6lBtl6vp127dkrnzU2cOJGAgAAOHDiAm5sb\nwcHBrF+/Xln+w2jZdc7cLxYzZ85k+fLlODk5ERAQwNGjR1myZAkff/yxWXPvp7pdzv3OnDlDjx49\nSvR3VTkNwNgmLT09XVlmcW+99ZYmuUayyObZ9dJLLzF16lRSUlIIDg7G3d1d61N6pkmxKiyajY0N\nLVu25NatW9y+fZvz58+XePFQ4e7du/To0YPw8HAWL17M8ePHleY/jMpRZtWef/75EoWpp6dniY0Q\ntmzZwqBBg8x+HqoWtD3Mt99+q2m+lp0AAJKTkzXN17IZvng4FW/Up0yZQkxMDC+88AKurq706NHD\n7Jni4aRYFRZrw4YNHDlyhOzsbDp27Mgrr7zC1KlTle8gU1BQQHh4OC1btuTy5cvk5uYqzbdEWu8l\nsn//fiXF6ubNm4F7j/fy5cvUr19f6QKb0rbcVdmNwLjtpl6v57fffqNhw4am50QF47abBoOBf//7\n31SvXl3ZNByAHj16lHhTaG9vr8kuUpZG1f//tLQ0atWq9cDtxbszlLWioiKKioqYMmUKK1asoEOH\nDuj1ek03RxBSrAoLtmrVKjw9PXnrrbdo166d8iLVaPr06Rw8eJC3336b3bt3K+tG8DgqXjCioqLw\n8/Mzfb1x40aGDh3KiBEjzJ79KKpeLIu3L8vPz2fSpElKco2Mi7sMBgMXLlwgNTVVaX7x/ppZWVnM\nnj1baf7UqVNNnxsMBuXTAr755htT9i+//GL6+lnRv39/unTpQs+ePfnLX/5iun3Dhg1K8idOnIij\noyO+vr5069bNtNAuJCTEbJk7duxgzZo1pKen4+3tjcFgwNrampdeeslsmeLxZLtVYbEKCgo4ffo0\nMTExnDp1ilq1atG1a1e6deumpDn89evXqVu3bqkrXy1hkcXcuXPN9kd77969HD58mJMnT9KhQwfg\n3ojDpUuX2Ldvn1kyn4YWoxy5ubkMHDiQPXv2KM0tbuTIkcoKhfsZDAYGDBjAzp07lWXm5+ebPk9L\nS2PMmDFKt1u935AhQ4iMjNQsX7X8/HxOnDjB4cOH+c9//kPr1q1LHe03p8uXL7Njxw7OnDlDx44d\n8fX1xdnZ2ey527dvx9fX1+w54snIyKqwWBUrVqRjx4507NgRgJiYGL744gtCQ0P597//bfb8r776\niqCgIIKDg9HpdKbRPNWLLA4fPsyOHTtKvHCvW7fOrKMLnp6e1KpVi8zMTNPqbysrKyUvEpakS5cu\nps8LCwsZOnSo0vzii6nS0tKUL3Qy7uJmMBjIyMgw/V9Uxdjf0mAwmDozqFS8x3JaWppmLbS0kpub\nS25uLnq9nvz8fE0W2tWpUwdnZ2fOnz9PfHw88+fPx83NzbQNdVkrfjWh+OegthOGKEmKVWGxzp07\nx5kzZzh9+jRXrlyhefPmvPHGGyxZskRJvpubG3fv3tV8kYUW+9M7ODjw8ssv8/LLL3Pjxg3y8vKA\ne6OrlkDVBSGVK+9LU3wU28bGhgULFijNLz4NolKlSjg5OSnNP3z4sNK8+xXvsdy8efMSi/yeBR07\ndqRp06ZMnjyZefPmKc//+9//zqVLl+jbty9LliwxtXAz58I/1bt1iScj0wCExRo+fDidO3emU6dO\nJfo8Gpl7y7358+fz/fff07lzZwYNGkTz5s3NlvUoEyZMYOXKlZpkz507lyNHjlC7dm3TdpdbtmxR\nlr9q1aoSjbiXLVvG1KlTiYuLo1WrVmbLfdTzrbJtmlYetYhIxQKnR11qVrHA7FFdCFRMQbIUqamp\nHDt2jB9++IGbN2/SsmXLEvOIzW3Xrl0lft+MWw/n5eVRqVIlZedR3MqVK5+JvwGWRkZWhcV63M4x\n5m6KP3PmTN5//30OHTrE8uXLycrKYsCAAbz++utKG0RruT/9zz//zMGDB5Vf/oyKimL79u0kJCQQ\nExMD3BvVLSwsZOrUqWYtVIEHRhBzc3NZt24d9evXV/JCdf8q9OIOHTpk9nzjKnwjg8HAzp07qVy5\nspJi9f5dw1JTU1m2bJmyRS7GLgjFp/5cvXqV7OxsfvnlFyXnYAmcnJx4/vnn+fXXX7l27RrXrl1T\nkhsfH09KSgpfffUVtWrVwmAwUFRUxPLly/n66681K1QBYmNjNct+lkmxKv5rqbgoULFiRby9vfH2\n9iYlJYWIiAheeeUVTp48afZsIy33p2/YsCF5eXnKd2/p168fHTt25IsvvmDcuHHAvTmzNWvWVJJf\nvC3WmTNnmDVrFkOGDDGdi7ndv+o8JiaGBQsWMHz4cCX5xUfPkpKSmD59Oq+88goffPCBkvzil9v3\n7t3L6tWrmT59Ov369VOSX3yuYn5+Pp9++im3b99m3bp1SvIthbe3N+3ataNnz55MmDDBrFeyisvK\nymL//v3cuHGDvXv3AvfeMAwePFhJ/qPIxWhtSLEq/mupaoqfl5fHt99+y65du7h9+zbTpk1Tkmuk\n5f70v//+O927dzftZKRqGoCNjQ0NGjQgJCSE6OhokpOT6dChA5UqVcLR0dHs+XCvG8Xy5cs5ceIE\ny5Yto0WLFkpyAVNRkJuby0cffUR8fDzr169X3oUiMjKS8PBwgoKClO/mlZmZSUhICDk5OURGRmqy\n5ezFixeZMWMGHTt2ZMeOHcqKNUvxzTffEBMTw6VLlygoKMDLy0tJroeHBx4eHpw/f56WLVsqyXxS\n5XkzFksmxaoQD3Hy5El27drFyZMnefXVV3n//fdp2rSp8vPQcn96lfuwlyYkJITatWtz/Phx3N3d\nmT59upLRrQsXLhAUFISnpydRUVGa9Pg9deoUs2fPxsfHhzlz5iidipGSkkJQUBAODg5ERUUpXdwH\n9xZWLVy4kBEjRhAQEKA0G0Cv17NmzRr27t1LaGgoHh4eys/BEqxYsYKrV6/y4osvsmvXLk6fPs2M\nGTPMnhsaGkpwcDChoaEPFIcq58wLyyELrMR/rcDAQLOu1A8MDGTgwIH06tWr1BEVcy/wMoqOjn7g\nNh8fH7Pnwr2iZcmSJWRkZODt7U2zZs1o3bq1kmz4v39jY1/VQYMGKXmx+stf/kLVqlVp1KiR6cVS\n5QKzjz76iH379jFz5swHFvapGF318PDAxsaGDh06PFAsqHgD07x5c2xtbalateoD96no0ODn50dy\ncjKjR4+mSpUqJe57ltoXFf//ZjAYGDhwIFFRUWbPTU9Px8nJqdQ5svXr1zd7/qOY+3VHlE5GVsV/\nLXNuuQeP3xfc3Au8jPr06VPiUniTJk3Mnmk0e/ZsRowYwapVq/Dw8GDGjBls27ZNWX5RUREZGRkA\n5OTkKBtdPHDgwCPvv3btmllfNC9cuICLiwv/+Mc/StyuqsfvqlWrHnm/ud+oXbx48ZH3//zzz2Z9\n09StWzcAbt++ze3bt82WY+kKCwvR6/VYWVmZ3qypEB4e/tAsVVeVioqK2LlzZ4m/u46OjixevFhJ\nvihJilVh8bRoiv8kVF2U0OpSOMDdu3fp2LEjq1evxtXVVfkq3EmTJhEQEEBaWhr+/v7KFvg8rhAN\nCgoya9H4uDdKW7ZsKbEIrKy1b9/+kfereqP2MMuWLTNr/uM6PoSEhDB37lyz5VuK3r17ExAQQOvW\nrYmLi1M2d7545xOtBAcHl/p3t169elqf2jNJilVh8bRoiv8kVI0yJCUlMX/+fE6fPk2PHj1Yu3at\nkly41wj+6NGj6PV6fvrpJ+ULTNq3b8+BAwfIyMigRo0aFrO4QevZU/v37zdrsfo4Wj9+rfNL24K5\nPBo5ciRdunThypUr+Pr6Kpuz7+bmhru7u6abchj/7p45c0b5313xIClWhcVr0qQJL7/8stanoRnj\npXCdTqf0UjjAvHnzWLRoETdv3mTDhg3MmTNHSa5xm8/SWMICC62LZq2LNa0fv9b5z5KmTZuaitRh\nw4YRHh5u9sx//etfuLu7l9jBzaj4FsjmpNUUJFE6KVaFxdOyKf6jqCoYJk+eXOJS+MyZM5XkAtSt\nW5d58+aZtltVxbjNZ0FBQYmV+Ldu3VJ6HpZKijWhhZycHCU5Y8aMAe79nb948SK//vorTZo0oXHj\nxkryQbspSKJ0UqwKi6dlU/xHMfcCL6PKlSuXuBR+6tQpJbkA77//PmfPnsXe3t60wKKz7xhSAAAg\nAElEQVS07gRlzcbGhpycHKZPn87ixYsxGAzo9XqCg4PZvn272fMfR+uRTa1p/fi1zn9WqX6TtHr1\namJiYnB3dycsLAxvb29lG2O0b9+effv2kZqaSr169eQNosakWBUWT8um+KDdAq/Tp09z+fJlwsLC\nGDFiBHCv/2NkZKRpVxdzS0xM5ODBg0qyivv5558JDw8nMTGR2bNnA/d2sFJ1CdDo3LlzuLu7m76O\njY2lffv2dOjQQel53E/rYk3VGzW4N5r322+/8fzzz5vaSPXp00dZfmm0fv7NrfgOXkYGg8F0WVyV\n77//ns2bN2NlZUVhYSGDBw9WVqz+z//8DwsXLsTBwYGcnBzmzJlD586dlWSLB0mxKiyelk3xQbsF\nXg4ODqSnp1NQUEBaWhpwr2BTuYNWq1atuHLlivLVuV5eXnh5eXHkyBFTGyGVSnujUFRUxD/+8Q/2\n7t3LO++8o+xcTpw4QVJSEq1bt8bFxYVKlSop+x2Ij49nzpw5ZGVl0bdvX5o0aUL37t2VdeL45ptv\nWLNmDUVFRXh7e6PT6Rg/fjwDBw5Ukp+Tk8O6detITU2le/fuNGvWjIYNG7JhwwYl+Vox/r25X//+\n/ZWeR82aNcnNzaVq1aoUFBQo270O7rVvi4qKombNmqSnpzNu3DgpVjUkxaqweKq3ebyfVgu8Zs2a\nBUCFChU4evSo6faYmBhlBZydnR2+vr4lGqOrXKH7zTff8M0335S4TcV85WrVqpGenk5+fr7phVun\n0ynfanf58uVcv36dhIQEbGxsWLt2LcuXL6dVq1ZK8ufPn89HH33ErFmz8PX1ZfTo0Ur/P4aFhbFt\n2zZGjRrF+PHjGTBgAOPHj1eW/8EHH9C1a1dOnTqFk5MTM2fOZNOmTZrsaKaS1q27jAssb9y4Qa9e\nvWjWrBkJCQlUr17dbJn3q169OjVr1gTuXd2zs7NTli0eJMWqsHhaNsUH7RZ4GRcZaenkyZPExsZS\noYI2fyqM0z8MBgMXLlwgNTVVSa5xBbSfn58me9IbnTlzhsjISAIDA/Hx8WHz5s3Kz6Fhw4bodDoc\nHR1L3VHKnKytrbGxsUGn06HT6bC1tVWan5mZia+vL7t37+bFF19Er9crzbdU5m7dZQl/+6pWrcqo\nUaNo164d58+f5+7du6bzUnllT9wjxaqweFo2xQftFnhpva0gQKNGjbhx44ZmBZunp6fp865duzJy\n5Eil+SdOnOCLL74gPz/ftMDs0KFDyvKLiorIy8tDp9NRVFSkvH2Og4MDW7ZsITc3l3379lGtWjWl\n+S+99BJTpkwhJSWF4ODgEvOHVUlISADg+vXrWFtbK89/Fh0/fhw/Pz+WLVv2wMImVYWil5eX6XMt\n37CKe6RYFRZPy6b4oP0CLy2dPXuWHj16UL16ddOLhsppAMWz0tLSSE9PV5YN9xbSrVmzRrNda4YN\nG0b//v3JyMjAz8/PNH9WlQULFrBmzRpq1KjBL7/8wvz585XmT5kyhZiYGFq0aEHjxo2VTwmaNWsW\nH3zwAQkJCUycOFHzXfOeFXXr1gW03cnqm2++wc/Pj+7du8ubFAsgxaqweFo2xQftF3hp6X/+5380\nzS/eFNzGxoYFCxYozXd2dqZhw4ZKM4vr0aMHnTp14urVqzRo0ICbN28qzbezs6N169ZUq1aNJk2a\nKJ0zCHDjxg1iYmJITEzkxo0bvPjii0oXOjZt2pTVq1eTlJREo0aNlD/+Z5XxikqvXr3IysrC2tqa\nbdu28cYbbyg7h/fff58dO3awcuVKOnfujJ+fH40aNVKWL0rSGcp7Dw7xX+/UqVPMmjWLtLQ06tWr\nx8yZM+nUqZOy/NL6ivr4+CjL15KxdUxubq7pNpV7wv/222/8/vvv1KtXjwYNGijLNZo0aRI5OTm8\n8MILmrxRadu2LZ9++qnpxXvo0KFKn/+ZM2dy584d2rRpw9mzZ6lTp47S5uiBgYH07t2btm3bcubM\nGWJiYvjiiy+U5UdGRrJx40bc3Ny4fPky48ePp1+/fsryLVVgYCARERFmzxk9ejQBAQEcOHAANzc3\nTp48yfr1682eW1xGRgbz58/nwIEDtGvXjokTJ9K2bVul5yBkZFX8F9CyKT5ov8BLS5988glBQUE4\nOTkpzb19+zZTp04lMzOT+vXrc/XqVRwdHVm+fLnSVblatM0qztXVlbCwMG7evEnfvn2V9/eMj48n\nKioKuDclQVXLqOICAgIAaN68+QOdIcwtKiqK3bt3U6lSJXJzc3nzzTefiWI1LS2NDRs2UKVKFUaN\nGlWiGwigrHXX3bt36dGjB+Hh4SxevJj/196dB0V1ZX8A/6LSNG4gKm6gxkhKTUQzimjcIqIhjohG\nENHSiltcJnEBBxQFAhk3nNaxjLjVOBrHiAGDo8jouMStcBSXIKNlMigGlMQGcQMFGujfH1T30Dat\nk6lf3/vK9/1UWdW8/uOcFss+7757zs3MzBQSFwBOnz6NtLQ03Lp1C0FBQYiOjkZVVRVmzZqFgwcP\nCsuDarFYJcVSwlB8QH6Dl0wuLi7o16+f8Lg6nQ4BAQEWj/1SUlKQmJiIhIQEYXnIvlFp0qQJNm/e\njPDwcBQXFwsfmdSxY0cUFBTA09MTDx48EL53t0uXLjh48CB8fX1x/fp1uLq6mjvR33jjDbvHb9my\npXm/olarVc02gCVLlsDf3x+PHz/G2rVrrfbqivp3aDAYsGvXLrz99tvIzc21eMJjbwcPHkRYWJjV\n2MLPPvtMWA70HyxWSbGUMBQfkN/gJYPpBBtHR0fExMTg7bffNj8GDw0NtXv8mzdvIjY21uJaSEiI\n8KNWZd+oGI1GaDQabNiwAdHR0fj++++FxQaA77//Hh9++CHat2+P+/fvQ6PRmE8RE9Fod/v2bdy+\nfdu8ugsAsbGxcHBwELIdwmg0YuzYsXj33Xdx48YNVFVVISIiAkDtDdXrymAwmFe0RZ0YVZ+oqCgc\nP34cc+fOxcGDB7Fs2TJhsV1cXCwK1cjISCQmJmLEiBHCcqD/YLFKiqWEofiA/AYvGUw3B7169QIA\n4V34tua6iu7KlX2jYprn27BhQ6xZs0Z4N/zevXvh7u4uNGZdkyZNwogRI6TN+Z0zZ475tewjXkWq\nOy5KxmzZX375BW3btkWLFi0QEhKCBw8eCDs9as+ePdi8eTMeP35sbjA1Go1CjxgmayxWSbGUMBga\nABYtWoSwsDAUFRUhNDRU6N29LHVPsCktLQUAHD9+XFix5OrqipycHIu5mjk5OcKPvJV1o5KUlIR5\n8+Zh3bp1VnMmAwIChOQAAAsWLICbmxuCg4MxdOhQ4Tdq169fx5YtW/Dee+8hODgYb775ptD4q1ev\nxpgxYzB27FjVbAEAgOfPn+POnTuoqalBeXk57ty5Y94vLWL7xV/+8hcsXbrUvIpuii1iRX3y5MmY\nPHkytmzZYnGzQnJxGgDRK5iKproNXjL2ccqwaNEivP/++7h69Spqamrw4MEDbNq0ye5x7969i7lz\n58LX1xeenp64e/cuzp8/j82bN8PT09Pu8U1kTaK4efMmunXrhosXL1q9J/rfXm5uLvbv34/Lly9j\nwIABCA4OFvo7qKmpwZkzZ7B//34UFRVhwoQJCAwMFLJv8smTJzh06BAOHTqEdu3aISQkROgkElmm\nTJlS73VR2y9SUlIQGBgIrVZr91i2nDhxAtevX8f8+fMxY8YMTJs2zbwFhsRjsUpkg1IavGSaPHmy\n+bjP3bt34+OPP8bOnTuFxK6oqMCpU6dQUFCANm3aYPjw4eau5MrKSmg0GrvnIOtGxWg04sSJE/D3\n98fTp0+RlJQEjUaD2bNnW3Vm29vTp09x6NAhHDlyBE2aNDE/El28eLHdYxuNRpw9exbffvst8vPz\nMWbMGFRXVyMzM1PoCKNbt24hKSkJmZmZ8PDwwCeffKLKvYtFRUVo3bq13eOsWLECp06dwsCBAzFx\n4kR069bN7jFfNG7cOHz11Vdo1qwZnj59ilmzZiE5OVl4HlSL2wCIbFBKg5dMBoMB//jHP9C1a1eU\nlJSgrKxMWGwnJyd88MEH9b43c+ZMu67wyL5R0el0+OmnnzBs2DB88cUXcHZ2Rps2bfD5558jMTHR\n7vFNFixYgH//+98YM2YM1q5daz528qOPPhISf+TIkejbty+mTJmCPn36mK/n5uYKib9nzx787W9/\nQ9OmTRESEoLVq1ejqqoKEyZMeK2L1evXr2Pjxo1wcXFBVFQU3NzcsGfPHmzZssWif8Beli1bhsjI\nSJw4cQLr1q3DkydPMH78eIwePRrOzs52jw/U7ps3HbHdrFkzVfQqKBmLVSIblNLgJdPMmTNx+PBh\nLF26FLt378a8efNkpwQAdp832rx5cxQXF6OystJ8o+Lg4CDsRuXSpUtITk5GVVUVTp06hdOnT8PZ\n2dncoW1ver0e7u7umDBhQr2NLXv37rVr/NOnT2Po0KFIS0urd66uqfHM3vR6PXQ6ncW2B0dHR6Hj\n02SIiYlBeHg4CgsLsX79ejx79gx6vR5//etfheXg6OiIgIAABAQE4P79+9i9ezfef/99XLhwQUh8\nb29vREREoHfv3rh27Rp69OghJC7Vj9sAiGy4d++ezfc6dOggMBPxqqqq0KhRI1RWVlq9J+Lx+6uI\nOsnp/v375tVEkWbMmIE///nPuHLlCtatW2cuEoKDg4WM7xJ9UpbS4i9cuBB/+tOfpMWXzbT9B6g9\nGGPs2LFYuHChVbOfvVVUVODYsWM4cOAAysrKMH78eAQHBwuLf/z4ceTl5eHNN9+En5+fsLhkjSur\nRDa87gXpy0RFRZkH87/YjXvixAnJ2Ylz/vx5bN26FZWVlTAajcI+f6NGjXDu3DmkpaVh5MiRAGqb\nvZo3b2732EpgNBphMBjqXUEXcbNUUlJi9xhKVndEnLu7OxYtWiQ0/oULF3DgwAFcuHABw4cPR2Rk\nJN566y2hOZSWluLy5cvIzc1FUVERfvOb36hqIoTSsFglIiumgecnT56UnEn9RD0Q2r59O7Zs2SL8\n5KZly5Zh3bp1aNWqFcLCwnD27FmsXbtW2Grf9evXMXHiRItrpmJdRJNJdnY2AgICzDHrxhdxs1BQ\nUGBzdF54eLjd48tW92ZBq9Va3DiIuFn48ssvMWHCBMTHx9cbT0SDZXR0NHx8fDBmzBhcvHgRS5Ys\nwZYtW+wak2xjsUpEVkJDQ20+8lNCR6yoAd2enp7o1KmTkFh1dezY0aIwHTx4MAYPHmz+OTk52aqY\n/P/UtWtXqSc09erVC7t375YWX6vVCpknqlT37t0zz/M1Go0Ws31F3Cy86ndv7wZLAHj48KF5hFf3\n7t1x9OhRu8ajl2OxSkRWlHIgw8mTJ7F//36LvbPbt2+3OqvcXrRaLWbOnInu3bubi3clrKxlZGTY\ntVjVaDSq3gbTqlUrjBs3TnYa0tQ9ZlSJRDxZqaioMI/qKi4ulnKSF/0Hi1UismIqVAoKCpCYmIg7\nd+7Ay8tL+NiuNWvWICEhQfjJVSZKnfpg7y/rVzWxZGdnm4/itYeYmJiXvm/vleV33nnnpe+LmvMr\ny/Xr11FeXo7AwEC8++67AMRtvflviGj0WrBgASZOnIhmzZqhtLQUs2fPtntMso2Dw4jIpujoaAQH\nB+Prr7/G6NGjER0dLTS+l5cXfH190a1bN/MfkQIDA/Hs2TNcu3YNT548wW9/+1uh8W2x95d1UFDQ\nS9+39xaBVzXTZGRk2DV+VFTUS9+fOXOmXePLdvDgQXz55ZeoqKjAtm3bcPXqVXTs2NFiK8rrbuDA\ngThx4gR27NiBY8eOYd++fbJTUjWurBKRTQ0bNjSvLvr5+WHXrl1C4w8fPhyhoaHo0qWL+ZqoGZsA\nEBsbi+bNm2PgwIG4ePEili9fLnQov1LJXmVTe3wR3nrrLfMpZVlZWdDpdPjll1/wzTffSM5M7N+/\nm5ub8JhkjcUqEVk5d+4cAMDZ2Rnbt2+Hj48Prl27hlatWgnNY/fu3Zg5c6b5JBnRfvrpJ/O8SX9/\nf7s+ev41ZH9xip63yfhylJaW4tixY0hPT8fz588xZswY2SkBENdgWZdafudKxWKViKwcPnwYAODq\n6orbt2/j9u3bAMQfCNCqVSuMGjVKaMy6Kioq8Pz5czg7O6O8vBzV1dVC4yclJVmcGqbT6RAREaGq\nI39JvIyMDGRkZKCwsBAjR45EfHw8PDw8hOcho8EyPDzcqjA1Go0oKCiwW0x6NRarRGTF1qN2vV4v\nNA+tVosZM2agR48eUrrxp06diqCgIHh5eSE3Nxfz588XEjclJQWpqam4desWzpw5AwCorq5GVVUV\nIiIi4O3tLSQPW2Sv7Ko9vr2Fh4ejS5cu6NatG3788UesX7/e/J7IkWYyGixtPT1RylMVtWKxSkQ2\nbdiwAXv37oXBYEB5eTk6d+5sXnUVYdiwYcJi1WfMmDEYMmQICgoK4OHhgRYtWgiJGxQUhAEDBmDr\n1q2YM2cOAKBBgwZo2bKlkPivEhgYKCSOUleWZTyGFknmUbd1mRosRerXr5/QePTfcTC+7reIRPQ/\nCwoKQkpKClauXIlp06YhPj4eO3bsEBa/qqoKaWlpKCwsRP/+/eHl5WVueLCn0tJSxMXFIT4+Hk2b\nNsWhQ4dw8uRJfPHFF2jatKnd45vI+vwmBw4ckHLcbN2VZVNhaFpZTktLs3t8E1uPoUmMtLQ0JCcn\nS2uwJOXgyioR2dS6dWtoNBqUlZWhU6dOMBgMQuPHxcXB3d0dmZmZ6NmzJ6KiooQUC3FxcejZsyea\nNGkCAPjwww+h1+vx+eef449//KPd49fNQ8bnN5F13KxSVpZlz/lVO9kNlqQcnLNKRDa1bdsWqamp\ncHZ2hk6nw5MnT4TGz8/Px4IFC6DRaODn54enT58KiVtYWIiPP/7YvE+2UaNGmDFjhvAmC9Pnd3Jy\nEvr5TUzHzWo0GvMfETQaDTw8PBAXF4fMzEykpqYiPz8fpaWlQuKbyJ7zq3amBkvTccNqmvNKlriy\nSkQ2JSQk4Oeff0ZAQADS0tKEH8NaXV2NkpISODg4oLS0FA0aiLm/btSo/v8aHR0dhcQ3MX1+AEI/\nv4ns42ZlryzLnvOrdrIbLEk5WKwSkZXq6mpUV1cjPDwc69evh9FoREhICD755BOhzReLFi1CWFgY\nioqKEBoaimXLlgmJ27FjRxw/fhz+/v7maydOnEDr1q2FxDdZuHChxecXfYKY7ONm8/PzsWLFCly+\nfBl+fn7Ytm2b0Ph8DC2X7AZLUg4Wq0RkZf/+/diyZQuKi4sREBAAo9GIhg0bok+fPkLz0Gq1OHr0\nKEpKStCiRQtkZWUJiRsVFYXw8HBs2rQJHh4e+Pnnn+Hm5ib89Kp+/fpZfH7Rg8kDAwOxb98+5Obm\nonPnzggLCxMaX/bKsuw5v2oXGBho1WBI6sRpAERkU2pqKoKDg4XHvXTpEnJzc7Fz505MmzYNAFBT\nU4M9e/YgPT1dWB6FhYXQ6/Vo164d2rRpY76enZ2NXr162S1uaGiozcI0OTnZbnFfFB0djebNm6Nv\n3764ePEiHj16JLRgv3jxImJiYlBUVIR27dohOjoaAwcOFBZ//vz5KCsr42NoSZYtW2beBjJ79mzs\n3buX0xhUiiurRGTTO++8g6tXr6JBgwZYt24d5syZgwEDBtg9rouLC4qLi2EwGFBUVASgthtc9HzN\n9u3bo3379lbXdTqdXbdDmPYGGwwGi32yjx8/tlvM+sg+blb2yjIfQ8tl2gZy6dIlKdtASDlYrBKR\nTZ9//jliYmKwceNGLFq0CGvXrhVSrC5fvhxAbaPT2bNnzdfPnDkjfR8lYP8TjDQaDUpLSxEVFYXE\nxEQYjUbU1NQgNjYWqampdo1dl6zjZpWysszH0HLJarAk5WGxSkQ2aTQaeHl5wWAwoHfv3sK+LERP\nHfi17L3Cl52djV27diEvLw8xMTEAaleWBw0aZNe4L3rxuNnPPvtMSFylrCzLnkagdrIaLEl5WKwS\nkU0ODg6IjIzEkCFDkJGRIWx0U4cOHYTEUSp/f3/4+/vj9OnTUleSZR03q5SVZT6GlktWgyUpD4tV\nIrJp/fr1yMnJwZAhQ3DhwgXFr3iKIqov9ciRIzhy5IjFNRFzPpOSkjBv3jyEh4dbrSLrdDq7x1fK\nyjIfQ8uhlAZLUg4Wq0RkxbSi5+bmBm9vbzg4OKB///5ITk4W3mQj03fffWfRZJORkYFRo0YhMDBQ\nSHzT2CSj0YgbN25Ar9cLievn5wcA0n7XSllZ5mNoOZTSYEnKwdFVRGRl6tSp5m53W69fZ9999x2u\nXLmCw4cPY/To0QBqV9lOnjyJv//979Lymj59Onbs2GH3OPUdClFTUyP8UIilS5daXRN5glROTg56\n9uxp8Ri6X79+wuKrVWhoKADg0aNHcHV1NV93cHAQ2mBHysGVVSKyUvce1tbr11m3bt3w6NEjODk5\n4Y033gBQ+0VpKlxFOXfunPm1Xq9HcXGxkLhKORRC1soyH0PLxe1G9CIWq0Rkpe4+RVuvX2ft2rXD\nuHHjEBQUZLFPUVSxZJKeno6srCz4+PhAq9Vi5cqVQuJOmDABEyZMkHYohMngwYPNr4cMGYLp06cL\nicvH0HKpvcGSrLFYJSIrz58/x507d1BTU4Py8nKL12qyceNG7N27FwaDAeXl5ejcuTMOHz5s97hl\nZWWIiIjAw4cP0bt3b+Tm5sLNzQ2dO3e2e+y6fHx8sHXrVhgMBgC1xXpCQoKw+LJWlpU+55dIbVis\nEpEVrVZr7sJ2cnKyeK0mJ0+exJkzZ7By5UpMmzYN8fHxQuLqdDoEBARg7Nix5mspKSlITEwUWixG\nRERgxIgRuHLlCtzd3fHs2TNhsQF5K8t8DE2kLCxWicjK7t27X/q+WqYCtG7dGhqNBmVlZejUqZN5\nhdHebt68idjYWItrISEhQmeMAkDjxo0xe/Zs3LlzB6tWrcKkSZOExJW9sszH0ETKwqFxRPSrZWRk\nyE5BiLZt2yI1NRXOzs7Q6XR48uSJkLiNGtW/jtCwYUMh8U0cHBxQVFSEsrIyPHv2TNjKqmlled++\nfdDpdEhNTcWIESOQmJgoJD4RKQuLVSL61dQyFSAhIQEDBgxAZGQk3N3dhQzEBwBXV1fk5ORYXMvJ\nyYGLi4uQ+Caffvopjh8/jqCgIPj7+2PAgAFC4t68edNiCwRQu7L8ww8/CIlPRMrCbQBE9Ku97lMB\nTCc4NWjQAI6OjmjatCmmTJkiLH5kZCTmzp0LX19feHp64u7duzh//jw2b94sLAcA6NWrF5o2bYru\n3bvDaDQKay5SysoyESkDV1aJiF7wz3/+0/x68eLFwuN7eHggNTUVPj4+MBgM8Pb2xjfffANPT0+h\neSxevBg3btwAAOTl5WHJkiVC4iplZZmIlIErq0T0q73u2wCUcBCCk5MTPvjgAymxTe7fv4/x48cD\nAGbNmiVsdVkpK8tEpAxcWSUim5KSkix+Nu3ZfN2Ho6vxIIT6ODg4IC8vDwCQn5+PmpoaIXGVsrJM\nRMrgYHzdl0iI6FdLSUlBamoqbt26ha5duwKoPS++qqoKaWlpkrOzvz59+sDLywtGoxG5ubnm12o7\nmzw7OxtxcXEoLi6Gu7s74uPj0bNnT9lpEZHKsFglIiuVlZXQ6/XYunUr5syZA6D2uMmWLVtCo9FI\nzs7+7t27Z/O9Dh06oLKyUhV/DwDw8OFDFBQUwMPDA25ubrLTISIVYrFKRDaZVlILCwvRv39/eHl5\nsWABMHXqVHz11Vey07C7jIwMbNiwAV27dsWPP/6ITz/9FEFBQbLTIiKV4Z5VIrIpLi4OhYWFyMzM\nRFlZGaKiomSnpAhqucfftWsXvv32W2zatAlpaWmqKNCJSHlYrBKRTfn5+ViwYAGcnJzg5+eHp0+f\nyk5JEdTSdOXg4IAmTZoAAJo2bQonJyfJGRGRGnF0FRHZVF1djZKSEgBAaWkpGjTg/a2aeHp6YvXq\n1ejbty8uXbqEjh07yk6JiFSI3zxEZNPChQsRFhaGf/3rXwgNDcXvfvc72Skpglq2AaxatQqenp7I\nzMyEp6cn/vCHP8hOiYhUiA1WRPRKJSUlaNGihWoef79KfHw84uLiZKchXGJiIiIjI2WnQUQqw2KV\niKyEhobaLEzVNGf05MmT2L9/PyorK83Xtm/fLjEjuYKDg5Gamio7DSJSGe5ZJSIr69atAwAYDAY4\nOjqarz9+/FhWSlKsWbMGCQkJPJOeiEgiFqtEZEWj0aC0tBRRUVFITEyE0WhETU0NYmNjVbWy5uXl\nBV9fX9lpCGc6YrUuo9GIiooKCdkQkdqxWCUiK9nZ2di1axfy8vIQExMDoPYEq0GDBknOTKzhw4cj\nNDQUXbp0MV9btWqVxIzEiI2Nrfe6q6ur4EyIiLhnlYhe4vTp0xg6dKjsNKT56KOPMHPmTDRr1sx8\nbfDgwRIzUobk5GRMnDhRdhpEpBJcWSUim44cOYIjR45YXFPDyqJJq1atMGrUKNlpKE5GRgaLVSIS\nhsUqEdlkKtSMRiNu3LgBvV4vOSOxtFotZsyYgR49epinI4SHh0vOSj4+kCMikVisEpFNdR95Dxky\nBNOnT5eYjXjDhg2TnYIicd4uEYnEYpWIbDp37pz5tV6vR3FxscRsxAsMDERaWhoKCwvRv39/eHl5\nyU6JiEh1WKwSkU3p6enIysqCj48PtFotVq5cKTsloeLi4uDu7o7MzEz07NkTUVFRqj4UwITbAIhI\npAayEyAi5SkrK8OcOXOQl5eH3r17Izc3F4WFhejcubPs1ITKz8/HggULoNFo4Ofnh6dPn8pOSaik\npCSLn3U6HQDg97//vYx0iEiluLJKRFZ0Oh0CAgIwduxY87WUlBQkJiYiISFBYmZiVVdXo6SkBA4O\nDigtLUWDBuq4v09JSUFqaipu3bqFM2fOAKj9u6iqqkJERAS8vb0lZ0hEasI5q+2sAcEAAAOWSURB\nVERkZdKkSfj666+troeGhmLfvn0SMpIjKysLy5cvR1FREdq1a4dly5bhvffek52W3VVWVkKv12Pr\n1q2YM2cOgNpDIVq2bAmNRiM5OyJSG66sEpGVRo3q/6+hYcOGgjORS6vV4ujRoygpKUGLFi2QlZUl\nOyUhNBoNPDw8EBcXZ9Fg5uTkBDc3N9npEZHKsFglIiuurq7IyclBz549zddycnLg4uIiMStxLl26\nhNzcXOzcuRPTpk0DANTU1GDPnj1IT0+XnJ04bDAjIiVgsUpEViIjIzF37lz4+vrC09MTd+/exfnz\n57F582bZqQnh4uKC4uJiGAwGFBUVAah9DK62xqL8/HysWLECly9fhp+fH7Zt2yY7JSJSIRarRGTF\nw8MDqampOHXqFAoKCuDt7Y1FixahcePGslMTYvny5QBqt0OcPXvWfP3MmTMYOnSorLSEMzWYAVBV\ngxkRKQsbrIiIXnDv3j2b73Xo0EFgJnJdvHgRMTEx5gaz6OhoDBw4UHZaRKQyLFaJiOilTA1mPGaV\niGTgNgAiIrIQGhpqszBNTk4WnA0RqR1XVomIyIJpG4TBYICjo6P5+uPHj9GjRw9ZaRGRSnG3PBER\nWdBoNKisrERkZCQMBgMqKytRXl6O2NhY2akRkQpxGwAREVnIzs7Grl27kJeXh5iYGAC1o7sGDRok\nOTMiUiNuAyAionqdPn1aVaO6iEiZWKwSEVG9li5danVt1apVEjIhIjXjNgAiIqrXqFGjAABGoxE3\nbtyAXq+XnBERqRFXVomI6L8yffp07NixQ3YaRKQyXFklIqJ6nTt3zvxar9ejuLhYYjZEpFYsVomI\nqF7p6enIysqCj48PtFotVq5cKTslIlIhFqtERGShrKwMERERePjwIXr37o3c3Fy4ubmhc+fOslMj\nIhXinlUiIrKQkJAAb29vjB071nwtJSUFOTk5SEhIkJgZEakRT7AiIiILN2/etChUASAkJAQ//PCD\npIyISM1YrBIRkYVGjerfIdawYUPBmRARsVglIqIXuLq6Iicnx+JaTk4OXFxcJGVERGrGPatERGTh\n7t27mDt3Lnx9feHp6Ym7d+/i/Pnz2Lx5Mzw9PWWnR0Qqw2KViIisVFRU4NSpUygoKECbNm0wfPhw\nNG7cWHZaRKRCLFaJiIiISLG4Z5WIiIiIFIvFKhEREREpFotVIiIiIlIsFqtEREREpFgsVomIiIhI\nsf4Pal+EnUVSUhsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f45564e5550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "sns.heatmap(trainfull_df.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "features2 = [\n",
    "    'Outlet_Type_Numeric', 'Item_MRP', 'Outlet_Size_Numeric', 'Outlet_Location_Type_Numeric', 'MRP_Low_High'\n",
    "    , 'Item_Type_Numeric', 'Item_Visibility', 'Item_Weight', 'Item_Fat_Content_Numeric', 'Age'\n",
    "    , 'Loctype_Itemfat'#, 'Item_Visibility_New'\n",
    "            ]\n",
    "\n",
    "features = [\n",
    "    'Item_MRP', 'Outlet_Type_Numeric', 'Outlet_Location_Type_Numeric', 'Age', 'Loctype_Itemfat'\n",
    "    ,  'Outlet_Size_Numeric', 'Item_Type_Numeric', 'Item_Visibility'#, 'MRP_Low_High'\n",
    "    , 'Item_Fat_Content_Numeric'#, 'Item_Visibility_New', 'Item_Weight'\n",
    "            ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting feature importance graph using XGB's *plot_importance*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Pn6ZQUFDA5cuXiY6+QvfuvcjISNedd+3aVQwMDDhz5hRlypRhxIgx1K//AefP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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f45565fa4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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btw8DAwPCw8OpX78+NjY2LF++HAMDA+7evYunpyenTp3ihx9+YMiQIfTv3/+pY09MTCQ+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uayZs0KVq/+AAAHB0fmzVvEkCEjmTp1IqGhPSksLKR7914EBzcDID5+KtOmTSE3Nwd3dw9iYor2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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f45564885c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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wc2tMeno6GRkZWFlZcePGj2zZEsOQIcNJTDyl7vv69WXhH+D27Z8wNjZGW1v7\nz/wqCPG3kLCroR48eEBCQgK6urq4uLhQUFDAggUL0NbWplatWgQFBbF7926+/PJLCgoKuHv3Lt7e\n3hw+fJhr167h5+eHp6dnhe07Oztz48YN8vLyMDIyYteuXXTr1o20tDQAVCoVKpVKfXxaWpr6qz34\n+Q8+QE5ODoaGhi+sydDUAqOqNn/k7RBCvIYmTJgCwJkzieptzZu/pf45IyOdTz+Nw89vOgBVqlSh\nU6cuuLt7cP78f/H39yU6eguZmXfUARnAwsKSrKw7AHh4vKPenpR0lUOH9hMVtQqAqVNnMG3aJBYt\nMiEvL48FC5YCkJl5h2bN3lSfZ25uQWZmJgAGBga0b9+R4cMHc+bMBXx8RmJtbY2xsQnNmjVn1Cgf\nata0JTY2Bn9/X9at21yuZgMDA3x9pzJq1FBMTaugVJaybNla9XUtLCx/UYcFKSnXqVWrFo8f5/Pt\nt9/QvPlbXLlyiR9/TOHevbsAaGtrs337p6xevRwLCwvatHkbAB0dHdzd2/Lhh8O4d+8uPj4jMTMz\nx8mpHikpyVy/fo06dZw4efI4Dx/mcu/eXUxNTQkODmT69CCuXLlUru9Pgq6XV3cyMtIZN24SCoXi\nN4y0EK+WhF0NVaVKFdq0aYO5uTmurq507NiRuLg4qlWrxqJFi0hISEBHR4dHjx6xdu1a9u7dS3R0\nNPHx8XzzzTds3LjxuWEX4N133+XgwYP06NGD8+fPM2LECHXYBRg2bBgFBQVkZmbStm3bcjO3U6dO\nRV9fHy0tLezt7Zk8efJf9l4IIf55rl69QkDAZHr18qJly9YABAeHq/c3avQGrq5uJCaeLvfh+Qkt\nrfIzjt98c4rZsz9hwoQpODrW4f79bMLDQ1i6dDV16zpz4sRRpk+fQlzcDlSqZ7VXFvQmTvz571jt\n2nZ4erbn5MnjDB06gvDwhep9/ft7Ex29hoyMdKysrNXbU1Kus2HDGjZv3oa1dQ22bdtCQMAUNmyI\nrbAOQ8PKzJkzn5Url7Js2SLc3JrQtGlzdHR01cf17NmHnj37sHr1cgICphAVtYoPPxym3m9mZs77\n73/A8eNHcXf3wN//E+bNC6W4uJg2bTxwdHRCV1eHOXNm0auXF3Z29ly+fPGZYxMfv5OMjHRGj/4P\ndnb26hlnIV5XEnb/BbKzs8nKymL8+PGoVCqKiopo1aoVtWrVokGDBgAYGxvj4FD2lZapqSlFRUXP\nbVOhUNAV06BpAAAgAElEQVS1a1cCAwOpWbMmzZs3LzeTC6iXMSxYsIDU1FSqVaum3vfLZQxCiH+f\natWMMDc3BkBfXxcjI3316z179jBr1iwCAwPVS6UePnxIbGwsI0eOVLehq6tNtWrGODjUJjs7W33+\njRt51KhhrX69fv161qxZw6JFC2nRogUAZ89+ja1tTVq3bg7ABx+8R1TUAnJzM6ld25bCwofq8wsL\nH2Jra4OZmRErV65k0KBBAJibG6Ovr4upaWWys9O4evUq77//frk6LSxM1e0A7N79PW++2ZxGjeoB\nMHLkMKKiFqKrW4qtbU2Kix+pj3/0KIfatWtibm6MtXV1tmyJVbfTuXNnXF3rce/ebVQqFfXrl91Y\n9+GHA+jWLR5zc2M2bdpEu3btsLYuC9uVK1fCyMiAKlX0cXWtx44d2wAoLS1l27YtODracuHCOdLT\nb7N9+xZycnLIy8tj+vRJLF26lAMHDqjHw9zcGHf31qSn38Tc/OfZ81fhl++vEM8iYVeDaWlpoVQq\nqVq1KtbW1ixbtgwjIyOOHDlC5cqVSUtL+1NfQdWsWZPHjx8TExODr68vt27dKrf/SfgdP348gwYN\nYvPmzQwYMKDcvt8jPyfzD/dVCPH6yM/JJDs7T32DV0FBMXl5BWRlPeTLLw8RGRnO/PlR1KvnrD5G\nqVQSE7OJ6tWt8fB4h6Skq5w7d57Jk6djbl4Tf39f+vQZhKmpKRs3bqZlyzZkZT1ky5ZNJCRsY/ny\ndVhb11C3Z25ek6SkJM6evYStbS0uXbrI48cFGBmZ0axZKzZsWI2nZ2e0tLSIj99Kly7duHs3j/37\nD1JSAh9/PIoLF5LYt28/ixcv58GDxwQHh+DgUB8rK2t27NiKo6MTWlqG5W5ks7GxZ+PGTSQl3aRq\n1WocPXoYK6saFBdr89ZbrYmLi6dhw2bk5+eze/fnTJ4cQFbWQ/7zn+GEhc3H2bk+R44cQqHQplq1\nGuzfv5f4+M0sX76WSpX02bw5niZNmpOV9ZCvvz7NlSvXGD9+Erm5OcTHf8qECVNIS7uHl1dfoqPj\nsLCwJDZ2Iw0bNkJbuzI7duxV9/WLLz7n6NHDBAdHcP/+Y+bPjyQnJ5/27Tty924Wp06dpkuXD566\nUe/vZG5u/Eqv/1eTIP9ySNjVUAqFAhcXF+bNm4ejoyMBAQGMGDECpVKJsbExc+fOLbfk4I/q3Lkz\nu3btonbt2uXC7i9DtEKhIDg4mIEDB/Luu+/+4YAdE9b/H38H+j9dtWr//KcAaAJNGAc7O4dnbl+5\nchkAc+fORqVSoVAocHV1Y8KEKcyZE8mCBeGsXbsCHR0dZs0Kw8TEFBMTU4YMGc7YsSMpLS2lQYOG\nDBjwISUlJaxduxJjYxMCAiar23vnnfZ4ew9h0iR/pk+fgkKhhb6+PqGh8zA0NKR16zakpCQzfPgg\nSkpKaNPmbTp2LJvRDAwMZt68UPbv30NxcQnjxvlSq5YdAOPHT2bKlPEolSosLCyYOTMEKFuSER4e\nzLp1m2nSpBn9+3vj4zMSXV1dTExMmTNnPgDdu/ciLe02gwf3o6SkhO7de+Lm9gYAM2eGEB4eTElJ\nCdWrmxEWFgFAx46duX07lWHDBqGjo4O9vQNTp5atcZ440Y/w8BC8vftQWlpKz55eNG1aNpM9dep0\nJk0ai1Kpws7OjoCAmS8cs9DQCCIj57J5czRaWtqMGTOOevWc/8DoC/H3Uqj+yBSbEK+IJn+C/yfQ\n9FmUfwoZh1dPxuD1oOnjIDO7L4fM7IoKBQUFcf36dfVM7JNZkTVr1qCnp/eKeyeEEEII8WISdkWF\nAgMDX3UXhBBCCCH+FK1X3QEhhBBCCCH+KhJ2hRBCCCGExpKwK4QQQgghNJaEXSGEEEIIobEk7Aoh\nhBBCCI0lYVcIIYQQQmgsCbtCCCGEEEJjSdgVQgghhBAaS8KuEEIIIYTQWBJ2hRBCCCGExpKwK4QQ\nQgghNJaEXSGEEEIIobEk7AohhBBCCI0lYVcIIYQQQmgsCbtCCCGEEEJjSdgVQgghhBAaS8KuEEII\nIYTQWDqvugNC86xevZro6GiOHDmCnp7eq+7OXyokZCaOjnXo23cg06f7kZaWCoBKpSI9PY3GjZsS\nFjafK1cusXhxJAUFj1EqVQwYMIh33/0/AP7737MsX76EwsJCjIyMmDYtkBo1bHjw4AHz5oWQmpqK\nUllKy5bujB49FoBLly6yYEE4BQUFmJmZ8ckns6lWrXq5vi1ePJ/bt1OZO3dBue25ubn85z/ejBkz\nDg8Pz6dqun79GvPnz6Gg4DEKhRYjRoymRYtWABw9epTw8AhKSopxdHRi6tQZGBoaPrf2s2fPsGzZ\nYkpKStDX12fcOF/q13cBICBgMsnJyRgaGgDQuHEzfHwmPLf2w4cPsmHDanR0dDA3t2TiRD+srKx+\nU+1CCCH+fSTsipdu9+7ddO3alT179tCjR4+X1m5SUhLZ2Xkvrb0/ws7OAW1tbW7evEFk5FwuX76I\no2MdAIKD56qPu3r1MjNmTMXXdyoA06f7ERAwkyZNmpGVlcnQoQNxcXFFT0+PgIDJLFy4HCenumzb\ntoXIyLlERCxmyZL52Ns7EhIyj+LiYiZMGMPevbt5993/Y8YMP2bNmkPDhq7s3LmNsLBZzJu3SH39\nw4cPcuDAPlxcGj5VQ3BwIPn5jyqscfbsTxg+/CPc3duSkpLMqFFD2bv3MA8fPmTatGksW7YWG5ua\nLF++hOXLl+Dr61dh7SUlJcycGUBkZBR16jjx9dcnmT37E2JjtwNloX3t2hiqVzcr14eKam/U6A0i\nIsJYtmwN9vYOnDv3PTNmTGH16o2/qXYhhBD/PhJ2xUuVmJhI7dq16du3L5MmTaJHjx6cP3+eWbNm\nYWRkRLVq1ahUqRJhYWHExMSwZ88eFAoFXbp0YeDAgc9t29s/FkNTi7+pkqfl52SyaHI3HB2d2LHj\nU7p06YalpdVTx5WUlBAcPJNx43wxMzOnqKiIoUNH0KRJMwDMzS0wNa1CZuYdrl1LokWL1jg51QWg\nW7cPePPNlgC0betJo0ZuAOjq6mJv70hGRjpXrlzCyMiIhg1dAejatTuLF0eSm5uLiYkJN278yJYt\nMQwZMpzExFPl+rZhwxqcnOpSUPC4wjrXr9+MllbZCqfbt3/C2NgYbW1tvv32Gxo1aoSNTU0AevTo\nxeDB/fD19auwdoCEhL1oa2ujUqm4fTsVU9MqAKSnp5Gfn09ERBhpaWnUq+fMxx9PwMTEpMLaDQ0N\ncXKqi729AwBubo1JT08nIyMDKyur59YuhBDi30nCrniptm7dSq9evbCzs0NPT4/z588zc+ZM5s2b\nh6OjIwsWLCAzM5Pk5GS++OIL4uLiUKlUDBkyBHd3d+zs7Cps29DUAqOqNn9fMc8xYcIUAM6cSXxq\n3+7dOzE3N8fd3QMAPT09unTppt7/2Wc7KCh4jIuLK0eOHEJfX5/AwGn89NNNLC2t8fGZAICHxzvq\nc5KSrnLo0H6WLFnJzZs/YmFhqd6no6NDlSpVuXs3E11dXYKDA5k+PYgrVy6V61di4mnOnfueyMgo\nxo4dVWFtT4Kul1d3MjLSGTduEgqFgszMjHLLBczNLcjPzyc/Px9DQ8Nn1g6gra3N/fvZDB06kJyc\nHGbNCgXg/v1smjd/k0mT/KlSpSqLFkUQFjaLsLCIZ9YeFbUKfX19UlKSuX79GnXqOHHy5HEePszl\n3r27mJqaVli7EEKIfy8Ju+Klyc3N5fjx42RnZxMTE0NeXh6bNm0iMzMTR0dHAJo1a8bevXtJSkoi\nLS2NDz/8EJVKxcOHD7l58+Zzw+4/xaefxjJ16oxn7ouJ2cD27fFERi5BT0+PkpISvv76BMuWrcHG\npibbtm0hIGAy69fHqs/55ptTzJ79CRMmTKFOHSd+/DH5mW1raWkzZ84sevXyws7OnsuXL6r3ZWRk\nsHTpQhYuXIZCofhNdcTH7yQjI53Ro/+DnZ09KpXqmcdpa/98n2tFtVetWo2EhL0kJV1l3LjRrF4d\nTYMGDQkJmac+ZujQEXTr1pGSkhJ0dHSeqv3JchF//0+YNy+U4uJi2rTxwNHRCV1dnQprF0II8e8m\nYVe8NJ999hm9evVi8uTJABQUFNCuXTsMDAxITk7G0dGRc+fOAeDg4ICTkxOrV68GYMOGDdSrV++V\n9f23qlbNCHNzY/VrfX1djIz01duuXLmCQgHt27ctd15RURH+/v4kJyezbdtWrK2tAahd24aioqa8\n8UZ9AAYPHsiiRfMxNa2Enp4e69evZ82aNSxatJAWLVoAUK+eA/Hx2eprlpSUkJubQ61ally4cI70\n9Nts376FnJwc8vLymD59Ei1atKCkpBg/v/GoVCpu3rzJihVLKC0twMvLS93P4uJiDh48SOfOnQEw\nNzfG3b016ek3qVPHjn37rqqve/v2bUxMTKhZ07zC2vPy8jh9+jTt27f/X3vNqV/fmbt3b1Namk9u\nbi6enmU3yWlrF6OtrY2VVRUUCsUzay8qKsLVtR47dmwDoLS0lG3btuDoaFth7StXrvxzg/6a+uXv\noXg1ZAxeDzIO4kUk7IqXZvv27YSHh6tf6+vr07FjR6pXr05AQACGhobo6upiaWlJvXr1aNGiBf36\n9aOoqAg3NzcsLS2f03rZmtlXKT8nk+zsPLKyHqq3FRQUk5dXoN525MgJ3NyaljsGwM9vAioVREWt\nRkdHX72/adNWxMXFceFCElZW1uzbtwcHB0dycgrZsmUtCQnbWL58HdbWNdTn1KjhQHb2fb788uv/\n3aC2HRcXV7S0DNmxY6/6ml988TlHjx4mODgCgK5de6n3+fiMpFcvLzw8PJ/q6/z5keTk5NO+fUfu\n3s3i1KnTdO36AebmloSHh/Pf/17BxqYm69fH0Lp12+fW/vjxY6ZO9WfePAMaNmxESkoyyckp1Kzp\nqH7qg52dM8bGxixbtpy3327H3bt5bNmy6Zm15+c/wsurL9HRcVhYWBIbu5GGDRuhrV25wtp/XZ8m\nMDc31si6/klkDF4Pmj4OEuRfDgm74qXZuXPnU9s++eQTNm/ezPLly6latSoLFy5UP45s2LBhDBs2\n7De3HxPW/7V4GsPzpKbeUs/aPnHhwjlOnfoKW9tajBo1FACFQsFHH/nQvHkLfH398ff3pbS0FGNj\nE2bPnktJSQlr167E2NiEgIDJqFQqFAoF77zTHm/vIYSGzmP+/LkUFhZgYmLK9Omzflcdv17KMHny\nOLp370Xr1m0IDY0gMnIumzdHo6WlzZgx46hb1xmA0NBQAgKmUFJSgo2NTbnrPqt2AwMD5syZz6JF\nEZSWlqKrq8fMmSGYmZljZmZOr15efPTRUFQqFQ4OdfDzm/7C2qdOnc6kSWNRKlXY2dkREDDzd9Uu\nhBDi30WhqmghnhAvyf79+1mxYgWGhoYYGxszd+5cTE1N/1BbmvwJ/p9A02dR/ilkHF49GYPXg6aP\ng8zsvhwysyv+ch07dqRjx46vuhtCCCGE+BeS/12wEEIIIYTQWBJ2hRBCCCGExpKwK4QQQgghNJaE\nXSGEEEIIobEk7AohhBBCCI0lYVcIIYQQQmgsCbtCCCGEEEJjSdgVQgghhBAaS8KuEEIIIYTQWBJ2\nhRBCCCGExpKwK4QQQgghNJaEXSGEEEIIobEk7AohhBBCCI0lYVcIIYQQQmgsCbtCCCGEEEJjSdgV\nQgghhBAaS8KuEEIIIYTQWBJ2hRBCCCGExtJ51R0Qv8/t27eZOHEiwcHB5OTk0KxZs5fa/uDBg/H1\n9cXV1ZXi4mJatmzJ6NGjGTp0KADe3t4EBATg7Oz81LknTpwgIyOD3r17P7PtqKgozM3N8fLyKrf9\n0KFDuLm5YW5u/lJrWbJkAUePHsbU1BQAW9vaBAWFsmPHVj7//DOKioqoV68e/v6BpKb+RFBQAAqF\nAoDS0lJSUpIJCZlH27ZvExe3ib17d6Gjo0OVKlWZNMkfG5uaFBYWMGdOMNeu/YBKpWLUqI9p0+Zt\nAA4fPsiGDavR0dHB3NySiRP9sLKyUvfv4cOHfPzxCKZNC6RevaffT5VKxfLlizl16iu0tLSxtbVl\n8uRpaGvr4OMzQt1XlUpFSkoyY8aMo0+f/mzbtoUdO7air69P7dr2TJzoh7Gxcbm2p02bjIWFBePH\nTwbgq69OEBIys1z/li5dg4GBQbnaLSzMGTt28gtr3749no0b11G9uhkAhoaViYpaBcDQoQMpLi5C\nV1cXgA4d/o9+/Qb+qbEWQgghKiJh9x9q//79mJmZvfSw27p1a7777jtcXV05c+YMbdq04dixYwwd\nOpSioiLS09OfGXQB2rRp84euGR0dzaxZs14YdpOSksjOzvtNbdrZOXDp0gWCgsJo2NBVvf3YsSPs\n2LGVFSvWYWRkxPTpfsTHb2bAgA9Zvz5WfVxU1ELq1HGibdu3OXMmkb17d7FqVTQGBgYkJGwjLGwW\nUVGrWLt2JYaGhmzatJU7dzIYOXII9eu7UFBQQEREGMuWrcHe3oFz575nxowprF69EYBTp06yeHEk\nd+5kVFjDnj2fkZT0A+vXx6Kjo8OyZYtZsmQB06cHlevr9u3xHD16hJ49vTh79gyxsTGsWhWNmZkZ\n+/fvZe7cYIKD56qP37w5mgsXztGuXQf1tosXz9Ovnzfe3oPL9eHXtR88uPuFtZuZmXPhwnl8fCbS\nvn3Hcu0VFBSQnp7G558fRFtb+zeNpRBCCPFnSNj9B3rw4AEJCQno6uri4lIWrBYsWIC2tja1atUi\nKCiI3bt38+WXX1JQUMDdu3fx9vbm8OHDXLt2DT8/Pzw9PZ/ZdqtWrVi+fDmDBw/m+PHj9O7dm4iI\nCPLy8rh06RLNmzcHIDExkYULFz51zZSUFHx9fVm6dCmHDx+matWqFBQUMH78eKBsFveLL74gJyeH\ncePGoVAouHr1Kn5+fsTGloW6inj7x2JoavHC9yc/J5P5EzqTlPQDW7bEkJqaSs2atvj4TGDfvr30\n7TsAIyMjACZN8qekpKTc+efOfc+xY0eIjt4CQLVq1Zk0yR8DAwMAnJ3rExtbFlqPHz/GzJkhAFha\nWvHmmy04cuQgFhaWODnVxd7eAQA3t8akp6eTkZGBlZUV27d/yvTps5g5M6DCOuzt6zBmTH31e+Ls\n3ICEhK3ljklN/Yno6HWsXRuDtrY2P/xwlWbN3sTMrGxG1cPDk7lzgykpKUFHR4ezZ8+QmPgN3bv3\n5OHDXHU7Fy6cQ1dXl6NHD2NgYMDw4R/h5tb4qdobNmzIqlWrn1t7nz79uXjxPI8f5xMbu5GqVasz\nZsxYHBzqcPnyRQwMDJg8eRz37t2lWbM3GTFiDJUqVXrhuAohhBB/hITdf6AqVarQpk0bzM3NcXV1\npWPHjsTFxVGtWjUWLVpEQkICOjo6PHr0iLVr17J3716io6OJj4/nm2++YePGjRWG3QYNGpCSkgLA\nt99+y8SJE2nZsiVff/01P/zwg3r2dsaMGc+85pPwevLkSXbs2EFhYSHdunVTt29lZcXs2bNJTExk\n7dq1rFy5EmdnZ2bPnv3coAtgaGqBUVWb3/Qe3b9/n2bNmjNqlA81a9oSGxuDv78vRUXF3L+fja/v\nWO7du4ub2xuMHj223LlLly5ixIjRGBoaAuDg4KjeV1xczIoVUbzzTnsAMjPvYGlpqd5vbm5BZmYm\nrVu3JSUlmevXr1GnjhMnTx7n4cNc7t27i5WVFRERi/93hqrCGlxcGqp/zs3NZcOG1fToUX6JyOrV\ny+jduy/m5mUfAho0cGH79nju3MnA0tKKPXs+o6SkhNzcHJRKJYsXRxIZuYSdO7eXa6dKlSp06tQF\nd3cPzp//L/7+vkRHb3mq9vnz57+w9oKCAmrXtmfQoGG4uDTkyJFDTJo0jtjY7eTn59OkSTN8faei\no6NDUFAAK1dGMXasb4XvgxBCCPFnSNj9h8vOziYrK4vx48ejUqkoKiqiVatW1KpViwYNGgBgbGyM\ng0PZDKOpqSlFRUUVtqdQKHB2dub48eOYm5ujq6tLmzZtOHr0KD/88AMffvjhc68JkJKSQqNGjQCo\nVKkSLi4u6vaf/GxmZsbjx4/V21WqikPfH1Gvnj3r169Vvx43bjQbN66lsLCQc+e+Y8WK5ejp6eHn\n50dMzBr8/f0BOHv2LI8ePaR//6fXHWdnZzNx4jiqVjUlIMAPHR0dVCol1asbUb162ZpYQ0M9dHUV\nvPFGfebMCWPhwrkUFxfj6emJs7MzFhammJv/vH5WS0tB1aqG5bb92q1btxg/fgwtWrzFiBFD1Nsz\nMjI4cyaRiIhwdTBv374tOTk+fPKJH1paWvTs2RNTU1PMzIwZN24cn3wynXr17KhcuRLFxXrq665c\nuVzdbrt2bWjSpAlXr56jR48e5Wo3MTF5Ye22tuZs3Lhe3Z6XVw82bVpHevqP9OjRhR49uqj3jR37\nMT4+PsyePfMFIyp+7Xm/M+LvIWPwepBxEC8iYfcfSktLC6VSSdWqVbG2tmbZsmUYGRlx5MgRKleu\nTFpamvoGpt+rZcuWrFy5kq5duwLQtGlTli5dipaWFiYmJqhUqgqvCVCnTh02bdoEQFFREZcvX1a3\n/aw+PanlZTp37jKJid/TsWNn9TalUoWlpRUtW7bh0aNSHj16jIdHezZsWEtW1kMAduzYRYcO/6d+\n/cT169fw9/fFw8OTMWPGcf9+WVC3tLTmhx9u4OSkB8DNm6nUrVuP9PT7GBlVJypqDVB2w9v69RvQ\n169Srm2lUsX9+/lPXe+Js2fPEBg4jYEDP8TLa0C547Zv/wx3d4//1VK2PT8/H0fHBqxcGQ3A/fvZ\nqFQLuXAhiVu3fiI4OASVSkV29j2UShUPHuQxZsw4EhK24u39c5AuLCwhP7+ErKyH5WqfOXM6d+/m\nPbf2Cxeu8dVXx+jZ8+cbEUtKSsnLK2Lnzr0YGRnh5tYYgOzsPBQK7QrrF89mbm4s79krJmPwetD0\ncZAg/3LIo8f+gRQKBS4uLmzevJlvv/2WgIAARowYQd++fYmLi8PJyelPtd+6dWvOnj2Lh4cHALq6\nupiamqrX6yoUiudes27durRt25Y+ffrg4+ODrq7uc5coNG7cGD8/P3Jzcys8BsrW4ubdv/3C//Jz\nMlEoFCxaNJ+MjHQAduzYSp06TvTu3Y8vvzxMYWEhKpWK48ePUb9+A/U1/vvf72jatHm566am/sS4\ncaMYMmQ4H388vlxgb9PGg127EoCyr/UTE0/TunVbiooK+eijYWRm3gEgPn4zbm5vPPVUhOe5cOEc\n06ZNZsaMWXh5DXhq//ffn6Vp0zfLbbt7Nwsfn5Hk5z8CYMOGNbRv3xEXl4Zs3/4569ZtZv36WN5/\nvyft2nXAzy8AQ0NDduzYyrFjXwKQlHSVq1cv06JFyz9Uu4GBPqtXr+Dq1bIPOadOnaSwsJD69V3I\nyrrD0qWLKCwspLS0lPj4WNq3f/c3vydCCCHE76VQvezvj8W/XnZ2Nvv27aN///4UFRXx3nvvER0d\nXe6xVn/E730aw+HDB9m0aT1KpQoLCwumTp2BmZk5Gzeu49ChA6hUSurWdWby5GnqZQAdOrQlLm47\nZmY/Pxli7twQDh78glq1aquXW+jpVWLlyvU8fvyYiIgwkpKuolKp+PDDYXTo0Akoe/LD2rUrUSpV\n2NnZMWVKACYmpuX62bv3+wQHz1U/emznzu388MNV/PwCmDBhDFeuXKZGjRrq69aoYUNIyDwABg3y\nYvLkabi6upVrc8eOrezY8SkqlYpGjd5gwoQp6OnplTtm3bpV5ObmqB899sMPV1mwIJz8/Efo6Ogw\ndqwvb7zR5KnadXS00dLSeWHt3357mv9n776jorr2No5/hyodFLAXBBV7Q2OMvcdEo1GDJRB7L4Ai\nKoqKEkUjNuwFFcWKYLl2sWA0URNjSUSwxIIFEFFU2pT3D+LcEBBJgled9/dZi7WGU3Y5G+GZPfsc\nly1bjFKpxMzMjHHjJuHo6PTH49QWc/p0NCqVinr1XPD0HP/G9doiJ12fzfoQyBi8H3R9HGRmt3BI\n2P1/avr06Vy/fj3Hs1oVCgWrV6/OFYz+Lo1Gw6RJk4iLi0NPT4927doxcODAwmi2Tv9S+xDo+h+W\nD4WMw7snY/B+0PVxkLBbOCTsig+KLv9S+xDo+h+WD4WMw7snY/B+0PVxkLBbOGTNrhBCCCGE0FkS\ndoUQQgghhM6SsCuEEEIIIXSWhF0hhBBCCKGzJOwKIYQQQgidJWFXCCGEEELoLAm7QgghhBBCZ0nY\nFUIIIYQQOkvCrhBCCCGE0FkSdoUQQgghhM6SsCuEEEIIIXSWhF0hhBBCCKGzJOwKIYQQQgidJWFX\nCCGEEELoLAm7QgghhBBCZ0nYFUIIIYQQOkvCrhBCCCGE0FkFCruXLl0iJCSEzMxM+vfvT6NGjTh4\n8ODbbpsQQgghhBD/ikFBDpo5cybe3t4cPHiQIkWKEBERwciRI2nfvv3bbt97Iz4+Hi8vL2bOnMnT\np09xcXEp1PIDAwO5cuUKSUlJpKenU7ZsWYoWLcqCBQsKtZ5XgoODOXHiBFu3bkVPL/s9j6urK/Pn\nz6dUqVJvpU6AiIgIrK2tadmy5Vur45XFi+dz/PhRrKysAChbtjzjx09i1qwZ3LnzOxqNhg4dPqNP\nn28AePbsGQsWzOX332+SmZmJm1s/2rfvCMDevbvYsmUjKpUKF5eP8PAYh76+PhkZ6cyePZO4uGto\nNBqGDh1J06YtAPj11yvMnz+H9PR0bG1t8fObQdGixViw4DsuXvwZhUKBRqMhMTERW1s71q0Ly9F+\njUbDsmWLOHPme/T09Clbtize3pOwsrImKSmJb7+dTnLyYzQaDX36uNOu3aev7ff06d8yebIP9+/f\n05b94MF96tatz6xZ87R17t27i+jo4wQGzs91Pbdt28yBA3tYuza7nSkpKcydG8C9e/dQq1V8/HET\nhp29UagAACAASURBVA8fDcDFi7+weHEQKpUSY+MieHh44+xcFYD+/b8mKysTQ0NDANq2/ZRevb7+\nl6MthBBC5K1AYVetVtOgQQPGjh1Lu3btKFmyJCqV6m237b108OBBbG1tCz3s+vj4ANlh8NatW3h5\neRVq+Xm5f/8+y5cvZ/jw4QAoFIq3XmfXrl3/8bmxsbEkJz9/43EVKlREX1+fX3+9zPTps6hRo6Z2\n34IF31G8eHFmzgwkPT0dN7evqFOnPtWr1yAgYCoVKzrh5zeDxMQEvvmmF/XrN+DZs6esXbuSdevC\nsLS0Yto0X7ZuDaN3bzfWrFmBqakpGzdu59GjhwwZ0o+qVatjbW3DlCk++PvPpkaNmkRG7mDWLH/m\nzl2Ih8c4bXsePnzAiBGDmDLFP1c//vOfXcTGXiMkJAwDAwOWLl1EcPACfH2nsXLlEqpXr8GAAUNI\nSkqkd+/uNGjwETY2RfPsN8DMmYHa1zExvzFlygTGjp0AZAf9lSuXcPDgPurVy/2zfenSL4SFbaBo\nURvttsWL5+Hg4EhAwFyysrLw9BzBvn176NixEzNn+jFp0lTq1q3PyZPHCQiYSmjoNtLS0njw4D57\n9x5GX1//jWMphBBC/FsFCrsmJiasXbuWH374AT8/P9avX4+Zmdnbbtt7JyUlhYiICAwNDalevTrp\n6enMnz8ffX19ypUrx/Tp09mzZw/Hjh0jPT2dpKQk3NzcOHr0KHFxcfj4+NCqVau/Vef8+fOxt7en\nT58+PHv2jL59+zJhwgSWL1+OQqHg8ePH9OjRgz59+hAbG8vMmTMBsLa25ttvv8Xc3Py1ZQ8cOJDt\n27fTqlUrnJ2d0Wg0QHbgvnnzJmPHjiUzM5MOHToQFRWFm5sbzs7OxMXFYWpqiouLC6dOnSI1NZW1\na9diYmLC1KlTuXPnDmq1Gg8PDxo0aECnTp1wcHDA0NAQBwcH7OzscHV1ZcaMGVy6dAmlUsmoUaPe\neG3cJoZhamWf7zEvnyaw0Lsz5cpVIDb2Glu2hHLv3j3KlCnDqFFeeHiMQ61WA5CUlEhWVhYWFuY8\ne/aMn346h7//bADs7OxZuXIdFhYW7Nu3h6ZNm2NpmT1T+sUXX7Jw4Tx693bj5MkTTJsWAEDx4iVo\n2LARUVGHqVq1Oubm5trA+fnnXVi0KIhnz55haWmpbW9g4Ex69vwaR0enXH1xcHBixIiqGBhk/zN1\ndq5GRMR2AFQqFS9eZAf/tLQ0DAwMUCj0yMrKyrPfxYuX0JarVCqZOXMaY8aMxdbWDoCoqMPY2tox\nYoQHZ86cytGO5OTHzJ8/hxEjxrB58wbt9mbNWlGrVm2AP8bWkYcPHwDZb5CfPXsGwIsXzzE2LgLA\n1au/YmJigrf3GB4/TsLFpSGDB4/A2Ng433EVQggh/qkCrdn97rvvePnyJcHBwVhZWZGQkMC8efPe\nfKKOsba2pmvXrvTr14+aNWsyefJkgoODCQ0Nxd7enoiICABevHjBypUrGThwIFu2bCE4OBh/f3/C\nw8P/dp3du3dn165dAOzZs4fOnTsDkJCQwIoVK9i6dSsbNmwgOTmZKVOmMHXqVDZs2ECzZs1YtWpV\nvmWbmpri7+/PhAkTyMzMzLHvz7O8f35dp04d1q1bR2ZmpvZNkJOTE2fPnmX79u0ULVqU0NBQlixZ\nwvTp07XXY/jw4Tl+Zo4cOUJKSgrbt29nw4YNXLly5Y3XwtTKHnOb0vl+vQrDSUmJuLg0YOjQUaxb\nF0a1ajWZOHEsAHp6esyYMYVvvulJ3br1KVu2PPHxdylatBhbtmxk2LABDBrkzrVrVzE2LkJCwiPs\n7Ytr22FvX5zExEd/jMMjihf/7z47O3sSEhJynWNgYIC1tQ1JSQnabWfOfE9iYgLdu7vm2d/q1WtQ\nqVIVIHvmdd26VbRq1RaAoUNHEh19ki5dPsXd3ZUBAwZjbW2db79f2bMnEjs7O5o0aa7d1qVLN/r2\nHZgrdKrVaqZPn8LIkZ7aYPxK8+YtsbEpCkBsbAxHjhykefPsNywTJkxh5kw/vvzyM+bPn4un53gA\nXr58Sb16LgQEzGX16lAePXrIihXBefZfCCGEKAwFmtktXrw4jRo1IiYmhurVq9OiRQtKlCjx5hN1\nWHJyMomJiXh4eKDRaMjMzKRx48aUK1eOatWqAWBhYUHFihUBsLKyyhUoC6Js2bKYm5tz48YN9uzZ\nw/Lly4mNjaVu3boYGBhgYGCAk5MTd+7c4caNG9qAqVQqKV++/BvLd3Fx4eOPP2bRokV5LmN4Ndv7\nStWq2esuLS0tcXJy0vYzIyOD2NhYfvrpJy5evIhGo0GlUvHkyRMAHBwccpRz8+ZN6tSpoz1/9OjR\nf/PKvF7RouZUrlyZkJA12m1jxgxnw4Y1ZGY+o3Tp0ixatIC0tDRGjhzJtm0baNy4MQ8e3KdkSTt2\n7NjGnTt36N27NzVrOmNsbICZmTF2dhYApKWZYWBggJ2dBRqNmmLFzClWLHufqakRhoYKzM2NMTIy\n0J4DoKenwNbWUrtt167tDBs2FHt7S/Jz584dPDxG0KjRRwwe3A8AL6/hDBs2BFdXV27fvo2bmxuf\nfPIRtWrVzLffAOHhWwgICMjRtlcsLIrkaPecOXP45JNGdOjQih9//BEg13nR0dGMHz+eqVP9aNSo\nLo8fP+a7774lLCyMatWqceTIEfz8fDh06BBdu35G166fac8dPXoko0aNYsaMafleA5FbXuMn/rdk\nDN4PMg7iTQoUdtevX8+RI0dISEigQ4cO+Pn50b17dwYMGPC22/fe0dPTQ61WY2NjQ8mSJVm6dCnm\n5uZERUVhZmbG/fv3C33ta48ePVi6dCklS5bE2toagN9++w2NRkN6ejrXr1+nQoUKVKxYkTlz5lCi\nRAl+/vlnkpKSClS+p6cn3bp10x5vbGxMYmIiQK4Z1/z65ujoSMmSJRk8eDAZGRksX75c296/nufk\n5MT+/fsBSE1NxcPDgzVr1uQq859ITn7ODz9c4Pr1WO0NZgBqtYaoqGhcXD7C1tYWgObN23DiRBTN\nmrVFoVDQpEkbEhNTMTGxoUaN2pw+fQ4rq2Lcvh1PYmIqANeu3aJYMTsSE1MpXrwE1679TqVKRgDc\nvn2PypWrYGJixf37D7XnKJVKkpOfoK9vSmJiKikpKfzyy0WmT5+tPSYvP/98nqlTJ/H119/g6tqH\nxMRUnj5N4aeffuK774JJTEzF1LQo9es35PjxU7x4ocyz38+eZWBklEpc3DWyspSUL18lz3pTU9PJ\nzFRq90VG7qJo0aLs33+AtLQ0kpIS6dSpM2vXbgJgy5aNhIWFMm3at9Sr50JiYirHj0djb18CO7uy\nJCamUrv2R+jp6XP+/GWSkhIxNzendu262rFSKPTzvQYiNzs7C7lm75iMwftB18dBgnzhKNAyhoiI\nCNasWYOJiQk2Njbs2LHjH30k/6FTKBRUr16dTZs2ce7cOXx9fRk8eDA9e/Zk8+bNVKpU6a3U26ZN\nG06fPk2PHj2025RKJQMHDuTrr79m+PDhWFtbM3XqVLy9venduzdBQUFUqVKlQOUbGRkxa9YsUlOz\nf2E0bdqUe/fu0adPHw4cOICFRfY/ttctbXj12tXVlRs3buDm5kavXr0oVaoUCoUiz4DcqlUrrKys\n6N27N4MGDaJfv35vbOfLpwk8fxKf79fLpwnaNi1cOE+7hnTnzu04OVXi4sULhISsBCAzM5OoqMPU\nr9+QkiVLUbmyM/v37wWy16n++utlnJ2r8cknzfj++5OkpKSg0WjYvTuCZs1aANCkSXN2785evpKQ\n8IizZ3/gk0+aUa1aDZ49e8qVK5eB7Kcc1KxZCzOz7DXUly//QtWq1bRrWfNy+fJFJk3yZsoUf1xd\n+2i3W1lZY29fnGPHjgD8EZx/plq1Gq/t96slCBcu/Ey9eg3eeK1f2bXrACEhYYSEhOHjM5ly5crl\nCLoRETtYsSIkx01tjo6VuHXrBnfv3gGyn0qRkZFB2bLlSEx8xJIlC8nIyEClUrF1axht2rQrcHuE\nEEKIv0uh+evn1Hn48ssv2blzJ126dCEyMhKlUknXrl3Zs2fP/6KN/++lpaXh7u7O9u3ZNyedPXuW\nrVu3/r9bN/13n8Zw6NABNm4MQa3WYG9vz4QJUzAzM2POnG+5desGCoUezZq1YMCAIUB2WJ03bzb3\n78ej0YCra286deoCwP79e9m8ORSVSkW1ajUYP94XQ0ND0tLS+O67WcTGxqDRaPjmmwG0bdsByH7i\nwbx5gWRkpGNpacXkyf7a5T9hYaHcvXsHHx/fHG2PjAzn2rUYfHx88fQcwdWrv1GqVCntcpJSpUoT\nEDCX69fjWLBgLk+fpqCnp0+PHj35/PMvAPLs96v1w0FBgdja2uHu3j/Pa7d//16OHz+a56PHLlz4\nicWL57F2bRhKpZJPP22JhYUl1tbWaDQaFAoFLVu2wc2tH8ePHyUkZBUKhR5FihRh5EgPatSo9cfj\n1BZz+nQ0KpWKevVc8PQcr70JTxSMrs9mfQhkDN4Puj4OMrNbOAoUdmfPno1CoSAqKgpvb2+2bt1K\nhQoV8PX1fdOp4i+mT5/O9evXtbOdr0LC6tWrMTIyynX8hQsX8PPzY/To0bRtm31zUkHDblZWFv37\n9881s+rg4KBd2/uh0eVfah8CXf/D8qGQcXj3ZAzeD7o+DhJ2C0eBwq5arWbbtm2cPn0atVpNo0aN\n6Nmzp8zGiP85Xf6l9iHQ9T8sHwoZh3dPxuD9oOvjIGG3cBQorQ4cOJC1a9fSs2fPt90eIYQQQggh\nCk2BblBLT0/nwYMHb7stQgghhBBCFKoCzewmJyfTqlUrihUrhrGxsXad6dGjR992+4QQQgghhPjH\nChR2C+v5p0IIIYQQQvwvFSjsnjt3Ls/tr/5HJiGEEEIIId5HBQq7r/6bUMh+nNVPP/2Ei4sLXbp0\neWsNE0IIIYQQ4t8qUNidNWtWju9TUlLw9PR8Kw0SQgghhBCisBToaQx/ZWpqSnx8fGG3RQghhBBC\niEJVoJldNze3HP/j171792jWrNlbbZgQQgghhBD/VoHC7qhRo7SvFQoFNjY2ODk5vbVGCSGEEEII\nURgKtIzh4MGDNGzYkIYNG9KgQQOcnJzw8fF5220TQgghhBDiX8l3ZtfX15e7d+9y5coV4uLitNuV\nSiWpqbr7f1ELIYQQQgjdkG/YHTZsGPHx8QQEBDBy5Ejtdn19fRwdHd9644QQQgghhPg38g27ZcqU\noUyZMuzevZuUlBTS0tLQaDSoVCquXr3Kxx9//L9qpxBCCCGEEH9bgW5QCwoKYtOmTSiVSqytrUlI\nSKBGjRps3779bbdPCCGEEEKIf6xAN6jt3buXEydO0LFjR0JDQwkJCaFo0aJvu21CCCGEEEL8KwUK\nu/b29pibm1OpUiViYmJo1KgRSUlJb7ttQgghhBBC/CsFWsZgbm5OZGQk1atXZ+PGjdjb2/Ps2bO3\n3TYhhBBCCCH+lQKF3YCAAP7zn//QpUsXjh07hp+fHx4eHm+7bf/vxcfH4+XlxcyZM3n69CkuLi6F\nWr6bmxsjR47ko48+0m4LCAigcuXKXL9+nX79+lGiRIlc50VHR/Pw4UMaN26Ml5cXW7duzbF/1apV\nNGrUiOvXr3Pz5k2++eYbli5dip+fH+fPn8fS0pLKlSsXal/+6uTJ4wQETOXgwRM5tk+a5I29vT0e\nHt4AfP99NAEB03L0c8mS1ZiYmLB37y62bNmISqXCxeUjPDzGoa+vj1qtJiRkFd9/H01GRjqNGjVm\n1CgvAI4ePcyGDWtRKBRYWVnj7T2RMmXKArBhw1oOHtyHSqWmfftP6ddvUK52K5VKgoICuXTpIgoF\nNGr0CcOHj0ahUBAXF0tQUCAvX77A1NSMQYOGUa9e9s9EePhWIiPD0dPTo1SpMvj4TMba2jrfvr9y\n/348Awe6M3/+EqpUcQZg8+aN7Nu3GwMDA6ytbRg3biKlS5dBrVazZs2KPPv+449nWLVqGWq1CoVC\njyFDRtCwYaN8+ySEEEK8bQUKu8WLF6dnz57ExMQwfvx40tPTMTU1fdttE384ePAgtra2hR52v/rq\nKyIjI7VhNysri+PHjzN27FiKFCny2vOaNm0KZIfxvALLoEHZIe769esoFApsbW3x8/MDIDw8nI4d\nO/6jsBsbG0ty8vPX7q9QoSL6+vrcvXuHpUsXotHk3L9p03ouX75I69ZttduuXLlEr15uuLn1zXHs\nzZs3WLt2JevWhWFpacW0ab5s3RpG795ubNsWxsWLF1ixIgSFQsHIkYM5evQw9erVJyhoNuvXb8HW\n1o7w8G0EBc0hKGgxZ86c4vjxKNau3YSenh6eniOoUMGBli3b5Kg3PHwrz549ZePGbajVaoYPH0hU\n1GFat27HpEnj6N9/MJ9++jnJyY8ZOXIwS5asIiEhgS1bwli/fjOmpqYsWbKQ1auXMW7cxHz7DpCZ\nmcmMGX4olUrttvPnz7Jv325WrlyPiYkJERE7mDXLn+Dglaxfvz7Pvjdq9DH+/pNZunQN5ctX4MaN\n64wYMYiIiH3s3r3ztX0SQggh3rYChd0zZ87g5+eHSqViy5YtfPHFF8ydO5cmTZq87fb9v5eSkkJE\nRASGhoZUr16d9PR05s+fj76+PuXKlWP69Ons2bOHY8eOkZ6eTlJSEm5ubhw9epS4uDh8fHxo1apV\nnmW3b9+e+fPnk5GRgbGxMUePHuWTTz6hSJEiuLm54e/vz5MnTwgMDMTQ0JAiRYqwaNEiDh48yM2b\nN+nZsyePHz9m+PDhPH78mBYtWjBs2DAmTpzIZ599pq3n1Qy1n58f0dHR/Pbbbzx+/Jhjx46xcOFC\nAHr16sWiRYuws7N77bVwmxiGqZV9nvtePk1goXdnSpcuy4wZfowa5cX06ZO1+3/++Txnz/5Ily7d\nSE397xKcy5cvYmhoyPHjRzExMWHQoGHUrl2XU6dO0LRpcywtrQD44osvWbhwHr17u3Hw4D5GjvTE\n0NAQgJkz52BoaICVlTW7dx9CX18fpVLJo0cPsLHJnl09efIEbdt2wNjYGIDPPuvMoUP7c4VdV9c+\ndO/e84+xf8Lz56lYWlrx9GkKCQmP6NAh+7oWLVoMR8dK/PDDaT799HO2bNmJvr4+GRkZJCYmUKpU\n6Tf2HSAoKJDPPuvE+vUh2m1FixZj3LiJmJiYAODsXJWwsA0A7Nq1i6FDR+fqu1KpZOzYiZQvXwGA\nChUcAA1Pn6a8pk+Wrx1nIYQQojAV6Aa1oKAgwsLCsLS0xN7entDQUObMmfO22yYAa2trunbtSr9+\n/ahZsyaTJ08mODiY0NBQ7O3tiYiIAODFixesXLmSgQMHsmXLFoKDg/H39yc8PPy1ZRsZGdG6dWsO\nHz4MwM6dO+nZMzuUvJqxPXLkCJ9++imhoaH06tVLu1b71f60tDTmzp3L5s2bOXnyJDExMXnWpVAo\nqF69Ok2bNmX8+PF06dKFuLg4UlNTuX79OkWLFs036AKYWtljblM6z69XIXju3G/p2rU7jo5O2vOS\nkhJZtCiIqVNn5JqJtra2plu3r1izJpTBg4czadI4kpISSUh4hL19ce1x9vbFSUx8BMDdu3e4desG\nY8YMp2/f3kREbNeGYn19fWJirtKt22fs3h3Jl1+6AuQqz87OnoSEhDz7qa+vz/Llwbi6dqVo0WLU\nqlUHKytrSpYszf79ewGIj7/HpUsXePw4SXtOdPRxunX7jEuXfuGzzzq/se9790aiVqv5/PMuwH+n\nwStWdKR27bpA9mz/8uXB2lD++++/59l3KytrWrX6b3BfvXo5ZcuWp0SJkq/pU93XjLIQQghRuAo0\ns6tWq3MEEScnp3yOFm9LcnIyiYmJeHh4oNFoyMzMpHHjxpQrV45q1aoBYGFhQcWKFQGwsrIiMzMz\n3zJ79OjBnDlzaNCgAc+ePcPZOXvNpuaPNQBDhw5l2bJlfPPNN5QoUYJatWrlOL9KlSqYmZkBULNm\nTX7//fc39uNV2Z07d2bPnj3cvXuX7t27F/xCvMaZMycwNzfB3b0X9+7dQ6EAGxsTPDym4Oc3mSpV\nKmBmZkxWlhF2dhYArFixTHt+69ZNqV+/Plev/oKxsQFmZsba49LSzDAwMMDOzgKVSsWNG9dYv34t\nWVlZDBkyhAMHInF3dwfAzq4hp0+fJjo6mnHjPDhy5AiGhnpYWhbRlmdtbYqxsaH2+7+aMmUikyaN\n/+PNzXfMnj2blSuXExgYSHj4FpydnWnVqhU2NhbaMr78shNfftmJ7du3M27cKPbt24enp1+eff/1\n11/ZuzeSsLAwjI2N0dNTYGNjmqM9ycnJeHmNwcbGCl9fHwwMsmdw8+u7SqVi1qxZREdHs2HDhhzl\n5dUn8c+97mdH/O/IGLwfZBzEmxQo7JYoUYJjx46hUCh49uwZmzZtolSpUm+7beIPenp6qNVqbGxs\nKFmyJEuXLsXc3JyoqCjMzMy4f//+P77Zp3Llyrx48YLQ0FC6deuWa//u3bvp1q0bPj4+rFy5km3b\ntuUY+xs3bpCWloahoSGXLl3C1dWVEydO5CrnFYVCgUqlAqBr1654e3uTnp6Ot7f3a88pqEOHDqNQ\nKOjUqTOZmVmkp6dTt249NBo1M2cGoNFoSE5+jFqtISXlOSNGjCEiYjtubv20ZaSnZ5GWpsLSsii3\nb8eTmJgKwLVrtyhWzI7ExFSKFbOlSZNWpKSkA9CkSUt++OEcDRs25caN6zRs2AgAZ+c6mJiYculS\nDDY2tty6dU9bXlzc79jYFNN+/8rlyxextrahbNlyALRs2Z4FC74jMTGVpKRUZsyYi55e9gcy48aN\npn79j/nll6s8fpxErVp1AGjWrB1Tp07l++/PcefO3Tz7bmJShGfPUunevQcajYaEhAQ8Pb0YPnwM\nn3zSlOvX45g4cSzNm7dixIgxPHmSBmQ/hjCvvn/6aVdSU1OZPNkHhQKWLQtBT8+UxMTUfPsk/hk7\nOwu5fu+YjMH7QdfHQYJ84cg37D569IjixYvj7+9PQEAADx48oG3btnz00Uf4+/v/r9r4/9qrj//n\nzp2Lo6Mjvr6+DB48GLVajYWFBYGBgdy/f/9f1dGtWzfmzp3L8ePHc9QLUKtWLXx9fTExMUFfXx9/\nf3/Onj2rPc7a2hpPT0+Sk5Pp2LEjjo6O+dZVu3ZtgoKCKFu2LBUrVsTMzIy6detqA1x+Xj7N+2P/\nV/tmTZ2Jo2MlAB4+fICbmyuHD5/McdzatSt59uwpHh7eqNVqdu7cTrlyFWjevCWxsTHExPzG5MnT\nSExMZOLEsXzzzQCsrKzYvTuCZs1aANCiRWsOHdpH48ZNUKlUnD4dTYMGH5GRkYGf30TWrAmldOky\n/PzzeVQqFeXLO9CkSXPWrVtF585d0dPTY//+vXTs2ClXP3766Ry//fYrs2Z9h0Kh4NChA7i4NABg\n7twAXF370KJFay5fvsitWzdp0KAhMTExTJ/uq72Z7uDBfVSs6EiNGrUID9+bZ98BRo8eq93Xo0dn\npk6dSeXKzty7d5cxY4YyYoRHrja2b98+z75nZWXh6TmCSpWq4O09Mcd45tWn+vUL92ZLIYQQ4nUU\nGs1f71n/r65du2rXhK5du5b+/fv/zxom/n8YOnQovr6+lC1b9o3HFvRpDJAddt3de3LoUM5Z5r8G\nvmvXYpg/fw4vX77AwMCA0aPHUqdOPQD279/L5s2hqFQqqlWrwfjxvhgaGpKRkcGyZYs5f/4sarWK\nhg0bMXr0WPT09Dhx4hghIavQ01Ngbm7BqFFeVKqU/eSJ0NB1HDq0D6VSSdOmLRg+fDQAkZHhXLsW\ng4+PL0qlkkWL5nHhwk/o6elTq1YdRo70wNjYmFu3bjJ79ow/noZigpeXD5UqVdGWsXPnNgwMDLC1\ntcPLy0e7XvZ1ff+zHj2+YObMQKpUcSYwMIDDh/dTrlx57ZITIyNjVqwIwdLSCH//b3P1/ciRQ8yc\n6YeDgyN6etlvlBQKBZMn+1OuXPnX9kn8M7o+m/UhkDF4P+j6OMjMbuHIN+x26dKFyMhIIGfwFR+W\n6dOnax8DBtlrZhUKBatXr8bIyOidtCkjI4NevXrRuHFjxo0bV+DzdPmX2odA1/+wfChkHN49GYP3\ng66Pg4TdwpHvMoY/rwPNJxOL99zUqVPfdRNyMTY2ZufOne+6GUIIIYTQcQV69Bgg/9uREEIIIYT4\n4OQ7sxsXF0fr1q2B7JvVXr1+9TH40aNH334LhRBCCCGE+IfyDbsHDx78X7VDCCGEEEKIQpdv2C1d\nunR+u4UQQgghhHivFXjNrhBCCCGEEB8aCbtCCCGEEEJnSdgVQgghhBA6S8KuEEIIIYTQWRJ2hRBC\nCCGEzpKwK4QQQgghdJaEXSGEEEIIobMk7AohhBBCCJ0lYVcIIYQQQugsCbtCCCGEEEJnSdgVQggh\nhBA6S8KuEEIIIYTQWRJ2hRBCCCGEzpKwK4QQQgghdJbBu27A++revXvMmTOHlJQUlEolzs7OjB07\nFjMzszyPP3LkCLVr1yYzMxMvLy+2bt2a53GZmZns2rWLHj16vLbuO3fuEBAQgFKp5MWLF7i4uDB2\n7FiuXbtGVFQUw4cP/9f9c3Nzo1q1akycOFHbrg4dOhAVFfWvy87PrFmz6NevHyVKlPjb58bGxpKc\n/DzPfRUqVERfX5/w8K1ERoajp6dHqVJl8PGZjJ6eHvPmzSIuLhYTE1M6dvycbt1cAfj991vMmRNA\nWtpLFAo9hg4dScOGjdi4cR1Hjx5CoVAA8OTJE9LSXnLgwHEyMtKZPXsmcXHX0Gg0DB06kqZNWwBw\n9OhhNmxYi0KhwMrKGm/viZQpUxaANWtWcOzYEfT19alSpSre3pMwNDTM1ZcNG9Zy8OA+VCo17dt/\nSr9+gwC4fj2OefNmk56ehkKhx+DBw2nUqHGOc0+ePE5AwFQOHjyRq9xJk7yxt7fHw8M7374Dm10S\n3gAAIABJREFUbN68kX37dmNgYIC1tQ3e3pMoVao0PXv25MWLlwBoNBru3LlN585fMmbMWHbs2EJo\naAjFitkCYGpqRnDwynz7fvPmdYYM6U/ZsmW17Zw+fRZly5Z704+DEEIIUSASdvOQkZHBsGHD+Pbb\nb6lZsyYAkZGRjB07luXLl+d5zvr16/H398fIyEgbkPKSkJDAjh078g27QUFBuLm50aRJEwBGjRrF\n0aNHadOmDc7Ozv+iZzn95z//oU2bNjRo0AAg33YXllfh+p9wmxiGqZV9ru0vnyaw0LszSqWKLVvC\nWL9+M6ampixZspBVq5aSmZmJqakZYWHhKJVKJk4cS6lSpfn44ybMmzebzz//go4dOxEXd41Ro4aw\nb18UX3/dl6+/7gvA8+fPGTz4GyZO9ANgzZqVmJqasnHjdh49esiQIf2oWrU6+vr6BAXNZv36Ldja\n2hEevo2goDkEBS3mwoWfiIo6zLp1mzE0NGTSJG927NhKr15f5+jLmTPfc/x4FGvXbkJPTw9PzxFU\nqOBAy5ZtmDHDj0GDhtGkSTNu3rzB0KH92bfvKAYG2f+M7969w9KlC9Focl+7TZvWc/nyRVq3bqvd\n9rq+//zzefbt283KlesxMTEhImIH3347neDglWzZsoXExFQATp06yYoVwQwaNAyAK1cuM2qUF23a\ntM9Rd359v3z5Eu3adcDbe9I/+6EQQggh3kCWMeTh+PHjfPTRR9qgC9ClSxeePHnChAkTOHXqFADR\n0dFMnDiREydOEBMTg4+PD1lZWdpzzp49S+/evXFzc8PX1xelUsmKFSu4ceMGS5cufW39tra2RERE\n8PPPP6NUKlmwYAFt2rTh7NmzeHl5ce/ePdzc3HB3d6dbt27UrVuXjIwM9u/fT8+ePenTpw9BQUFv\n7Kevry9TpkwhLS0tx/aJEyfm6iNA27ZtmTBhAj179mT+/PnMmDGDHj16MH78eAAePnzIoEGDcHd3\nZ/DgwTx69Ij4+Hg6deqEu7s7q1evxs3NjVu3bpGcnMzgwYPp2bMnPXv25M6dO29sr6mVPeY2pXN9\nvQrAVao4s2XLTkxNTcnIyCAxMQErK2tiY2No374jAAYGBnz8cROOHTsKZM9OpqY+A+DFixcYGxvn\nqjc4eD6NGjXWznqePHmcTp26AlC8eAkaNmxEVNRhbGyKsnv3IWxt7VAqlTx69ABra2sA1Go1mZlZ\npKWlkZWVRWZmBkZGRrnqOnnyOG3bdsDY2BhDQ0M++6wzhw7tByAkZBNNmjQDID7+LhYWFujr6wOQ\nnp7OjBl+jBrllavMn38+z9mzP9KlS7cc21/X96JFizFu3ERMTEwAcHauyqNHD3Oc++zZU777bhZT\npvhjamoKwJUrlzh8+AD9+/dh7NjR3Lx5/bV9f1XXlSuXuH37dwYN+obBg/ty4sSxXO0XQggh/g2Z\n2c3D3bt3c3ys+kqZMmU4d+4cn3/+eY7tzZs3x9nZmRkzZuT4WHrKlCls3ryZokWLsnDhQiIiIhg6\ndChxcXH5LkXw8fFh8+bNBAUFERsbS4sWLZgyZQqQPftapkwZQkNDyczMZNiwYSxatIj09HSCg4PZ\nuXMnxsbGjB8/njNnzvDxxx+/th5nZ2e6du3KrFmzmDx58huvy/3799m4cSPFihWjYcOG7NixgylT\nptCmTRueP39OYGAg7u7uNG3alDNnzjB37lw8PT15/PgxkZGR6Ovrc/LkSQCWLVtG69atcXV15Zdf\nfuHSpUuUK/fvP7rW19cnOvo4gYEzMTIyZuDAoTx5kszBg/uoUaMWmZmZnDgRhYFB9jh5eo5nzJih\nbN0aRkrKE6ZN+xY9vf++B7x58wanTp1k27ZI7baEhEcUL15c+72dnT0JCQna+mNiruLj40FGRibz\n5i0GoH79Bri4NKRbt88xMjKkXLnyfPHFl7nan5DwCBeXhnmW/apdrq5dePjwAWPGjNPOxs+d+y1d\nu3bH0dEpR3lJSYksWhREUNBiIiPDc+x7Xd8rVnTUHpOVlcXy5cG0bNkmx7kbN67n44+bULly9icN\n6enplC/vgLv7AKpXr0FU1BHGjRtDWFh4nn3v3Dn7zYKJiQlt2rSnS5du3L79O6NGDaFkyZLacoUQ\nQoh/S8JuHooXL86lS5dybb99+7b2I3/Inhn7sz9/n5ycTGJiIh4eHkD20ojGjXOur3ydH374AXd3\nd9zd3UlLS2P27NksXbqUli1bao9RqVR4eXnxxRdf0LRpUy5dukRycjKDBg1Co9Hw8uVL7ty5k2/Y\nBRg0aBC9e/fWhtC/+nOfbGxstCHP1NSUihUrAmBhYUFGRgaxsbGsWLGCVatWodFotMG/TJky2hnI\nV27dukX37t0BqFOnDnXq1CnQtXmdokXNsbOzAODLLzvx5Zed2L59O97eo9m5cydz5sxh8GB37O3t\nadGiGRcuXMDKyhh/f1/mzJlD8+bNuXjxIkOHDqVJk4bafi5evBM3t68pX/7Pa4w1FCtmTrFiFn9c\nCyMMDRXa+u3sGnL69Gmio6MZN86Do0ePcuDAAZKTEzhz5jQGBgZMmDCBNWuW5HqTYWioh6VlEW1Z\n1tamGBsbar8HiIo6Snx8PL1796ZOnepcv34dc3MT3N17ce/ePRQKsLOzQKlU4unph5/fZKpUqYCZ\nmTFZWUbY2VmQmZn5xr4nJyfj5TUGGxsrfH19tMslrKyM+c9/dhEREfGndlmwYUOIto2url3ZtCmE\nBw9ucffu3df2fdasmdpz7Oxq8tlnHblw4Uc++eS//85E3v78MyHeDRmD94OMg3gTCbt5aN26NStW\nrODy5cvapQzbt2+naNGiFClSRDvT9ttvv2nP0dPTQ61Wa7+3sbGhZMmSLF26FHNzc6KiojAzM0NP\nTw+VSpVv/XPnzqVIkSI0aNAAExMTHBwcePLkSY5jJk2aRL169ejcuTOQHShLlixJSEgI+vr6RERE\nULVq1Tf2VU9Pj1mzZjFgwADtLKGRkRGJiYm5+vg6rwKxo6Mj/fv3p06dOty8eZPz588DOdcCvzrW\nycmJS5cuUaVKFc6dO8fJkycZO3bsG+t6neTk5/zyy1UeP06iVq3s4NysWTumTp3KnTuP6NdvGJaW\nlkD2+lU7u5L8+OMvvHyZRrVq9UhMTKVUqYqUL+9AdPQPNG/eCrVazYEDB1izZpN2nSqAvX0Jrl37\nnUqVspch3L59j8qVq3D16i1u3ryuXe7g7FwHExNTLl68yn/+c4CWLdvy/LkSUNK+fScWLJibo1wA\nGxtbbt26p90eF/c7NjbFePDgCSdORNG6dTsAjIwsqVevAefOXeDo0cNkZKTTqVNnMjOzSE/Pfu3p\nOZ47d+4yc2YAGo2G5OTHqNUaUlKe88UXX+bb9+vX45g4cSzNm7dixIgxPHmSvdTFzs6CPXsO4uRU\nGSMjS207Hz58yPffn9De+AeQlaXk+fNM9u7dn2ffExKeERoaQo8evbRLJl6+zMDERJXruoic7Ows\n5Bq9YzIG7wddHwcJ8oVD1uzmwdTUlGXLlrF06VJ69+6Nq6srly9fJigoiO7du7Nu3Tr69++vDb0A\ndevWxcfHh6dPnwLZAW/SpEnadambN2+mUqVKFCtWDKVSybx5815b/4IFC1i2bBndu3enV69e/Pbb\nbwwZMkS7/8CBAxw+fJhTp05p1+4+efKEfv360adPH7766iuio6NxcHB4bR1/DqAODg707dtX+32P\nHj0ICQnJ1cc3leXt7c3ixYtxc3NjwoQJVKlSJVddr14PHjyYo0eP4ubmRnBwMK6urrkL/ouXTxN4\n/iQ+19fLp9ltTEpKYto0X549yx6Dgwf3UbGiI7t27WTNmuwbC5OTH7NnTyTt2n1KmTJlef78OVeu\nXAYgPv4ed+78TqVK2e2+ceM6FhZWuZ4c0bRpc3bvjgCylx2cPfsDjRs3JTMzAz+/icTH3wOy18qq\nVCrKl3egShVnTpyIQqVSodFoOHHiGNWq1eSvmjRpzuHD+0lPTyczM5P9+/fSrFlLDAwMWLVqGUeO\nHPyjr4lcuPATderUZ+XKdaxfv4W1azfx3XcLMTIyZu3aTdSsWZvw8L2sXbuJkJAwvviiG61bt8XH\nxzffvt+7d5cxY4bSr98gRo70yHXj4i+//ET9+jlnXk1MirBq1XJiYrLfHJ05c4qMjAyqVq2eZ9+r\nV6+JQqHg1KmT7N69E4CHDx9w4sQxWrRo9cafBSGEEKKgFJq/fhYvxHuqII8ei4wMZ+fObRgYGGBr\na4eXlw+WllbMmOFHfPxdANzc+tG2bQcg+0kBS5cuJDMzCwMDA/r1G6S9CezYsSPs3h3B/PlLctSV\nlpbGd9/NIjY2Bo1GwzffDNCWd+LEMUJCVqGnp8Dc3IJRo7yoVKkymZmZLF48n/Pnf8TIyBgnp0qM\nHeuDqakZkZHhXLsWg4+PLwChoes4dGgfSqWSpk1bMHz4aCB7/XBQUCAvXjxHT08fN7e+tGjROkfb\nHj58gLt7Tw4dyv3osbVrV/Ls2VPto8de1/fAwAAOH95PuXLltTPxRkbGrFgRgp2dBf36DaRNm/a0\na9chR/nnzv3AsmWLUSqVmJmZMW7cJBwdnfLte3z8PebO/ZYnT5JRq9X07z841/pgkZuuz2Z9CGQM\n3g+6Pg4ys1s4JOy+I5cuXWLu3LnaWTONRoNCoaBjx4707Nnzg6njf02Xf6l9CHT9D8uHQsbh3ZMx\neD/o+jhI2C0cEnbFB0WXf6l9CHT9D8uHQsbh3ZMxeD/o+jhI2C0csmZXCCGEEELoLAm7QgghhBBC\nZ0nYFUIIIYQQOkvCrhBCCCGE0FkSdoUQQgghhM6SsCuEEEIIIXSWhF0hhBBCCKGzJOwKIYQQQgid\nJWFXCCGEEELoLAm7QgghhBBCZ0nYFUIIIYQQOkvCrhBCCCGE0FkSdoUQQgghhM6SsCuEEEIIIXSW\nhF0hhBBCCKGzJOwKIYQQQgidJWFXCCGEEELoLIN33QAhCkN4+FYiI8PR09OjVKky+PhMxsTEhKCg\nQGJifkOj0VCtWg28vHwwMjLi6tVfWbQoiPT0NNRqDX36uNOu3ads3LiOo0cPoVAoAHjy5AlpaS85\ncOA4KSkpzJ0bwL1791CrVXz8cROGDx8NwNGjh1m3bhUGBgbY2RXHy8uHEiVKkJWVxfz5c/j5558w\nNTXlk0+aMmDAkFztX7DgOy5e/BmFQoFGoyExMRFbWzvWrQv7n15HIYQQQtcoNBqN5l034v+bs2fP\nsmXLFoKCgv7R+Zs2baJPnz6F3Kr/Cg4Oxs7ODldXV7Zt20a3bt3Q19f/R2WpVCr69u2LUqlk5cqV\nWFhY5Drm/PnzWFpaUrly5XzLio2NJTn5ea7tmZmZ+PlNYv36zZiamrJkyUJevnyBtbUNCQmP8PWd\nhkajYfr0yZQtW44BA4bQrdvn+PpOo149FxITE+jf/2uWL19L6dJltOU+f/6cwYO/wcPDm4YNGzFj\nxhRKlizNwIFDycrKwtNzBB07dqJWrToMGvQNS5euxsGhIhcvXiA4eD6rVm1gzZoVXL36K7NnB2Fg\nYEBgYACVKlXmyy97vLafDx8+YMSIQcyZswBHR6e/cbXfPjs7CxITU991M/7fk3F492QM3g+6Pg52\ndrn/Zoq/T2Z235FXM4f/xLJly95q2P2z5cuX06VLl38cdh89esTLly8JDw9/7THh4eF07NjxjWHX\nbWIYplb2Oba9fJrAQu/ObNmyE319fTIyMkhMTKBUqdLUqVOPkiVLAdnXu3LlKvz++y2ysrLo338w\n9eq5AGBnZ4+VlTUJCY9yhN3g4Pk0atSYhg0bAdCsWStq1aoNgKGhIQ4Ojjx8+ABTU1MqVaqMg0NF\nAGrXrsuDBw94+PAh167F0Lp1OwwMDP4oozmbN2/MN+wGBs6kZ8+v37ugK4QQQnyIJOy+J77//nsW\nLlyIsbExNjY2fPvtt5ibmzNjxgwuXbqEUqlk5MiRxMXF8fTpU/z9/Xn69CmdO3emefPm3Lhxgzlz\n5tChQweOHDnCixcvSElJYfjw4bRr146zZ8+yYMEC9PX1KVeuHP7+/m8MsDt27CApKQkvLy+Cg4MJ\nCgrip59+QqVS0a9fP9q3b4+bmxvOzs7ExcVhamqKi4sLp06dIjU1lTVr1jBt2jRu377N1KlTGT58\nOFOnTiUrK4uEhAQ8PDwoUaIE0dHR/Pbbb1SqVIkSJUq8tj2mVvaY25TOc5++vj7R0ccJDJyJkZEx\ngwYNyxFcHz58wLZtm/HxmYyhoSGffdZZu2/Xrp2kp6dRvXpN7babN29w6tRJtm2L1G5r3ryl9nVs\nbAxHjhwkOHglRYoU4ebNG1y/HoeTUyVOnTpJauozHj9Oolq16kRFHaZFi9YYGBhw+PBBHj9Oem0f\nz5z5nsTEBLp3d813bIQQQghRMHKD2nvCz8+PJUuWEBoaSoMGDViyZAlHjhwhJSWF7du3s2HDBn79\n9VeGDh2KlZUVfn5+fPXVV0RERADZs6M9emTPFqanp7Nu3TrWrFnD7NmzUSqVTJkyheDgYEJDQ7G3\nt2fnzp1vbFP37t2xs7Nj/vz5nDx5kvj4eDZt2sSGDRtYtmwZqanZHx3VqVOHdevWkZmZiYmJCWvX\nrsXR0ZFz584xdepUnJycmD59Ojdv3mTAgAGsWbMGf39/wsLCqF69Ok2bNsXb2zvfoFsQTZu2YO/e\nI/TrNwhPzxHa7TExVxkxYhDdu7vy8cef5DgnNHQdISGrmDNnPkZGRtrtO3ZsoVu3rzA1NctVz48/\nnsHLaxSenuNxdHSidOkyTJzox9y539K//9fExV3D0bEShoYGfP11XxwcKjJ0aD88PUdQs2ZtDAwM\nX9uH7ds38/XXff/VzL8QQggh/ktmdt8DycnJWFhYYGdnB4CLiwtBQUEULVqUOnXqAGBhYcHo0aNz\nnPfRRx8xc+ZMkpOTOX36NGPHjmX37t00aNAAgGLFimFlZUVCQgKJiYl4eHgAkJGRQePGjQvUNo1G\ng0ajITY2litXruDu7o5Go0GlUhEfHw9A1apVAbC0tMTJyUn7OiMjI0dZdnZ2LFu2jB07dgCQlZX1\nt69VXjIyUrlzJ5b69esD0LdvH+bNm42RkZpTp07h7+/P1KlT6dixo/aczMxMJk6cyI0bN9ixYzsl\nS5bU7lOr1Zw8eYyIiIhc66VCQkJYvXo1CxcuoFGjRtqyatasws6d2f1SqVRs376ZmjWrkJmZyfDh\nQ5g6dTIA+/btw9HRIc91WMnJycTE/MaqVSsoUqRIoVybt0HWkL0fZBzePRmD94OMg3gTCbvvyJ/v\nC7SxseH58+ckJSVha2vL2bNncXBwwNHRkf379wOQmpqKh4cHa9asyXHuF198QUBAAJ988ol2WcKv\nv/4KQFJSEs+fP6dkyZKULFmSpUuXYm5uTlRUFGZmuWcs86Kvr49araZixYp89NFH+Pv7o9FoWLp0\nKWXLlgUKvv544cKFfPXVVzRt2pSdO3dqZ6UVCgUqlapAZeTl9u14Vq1azrp1YVhaWrF//14cHCpy\n6NAx5s0LZN68YKpUcc5xE4OPjycaDQQHr8LAoEiOfXFxsZibW2JomPPGhy1bNhIRsYNly9ZSsmQp\n7b6XL1/g6tqT9es3Y29fnLCwDdSsWZuMDAW7d+/j9OloZs8O4uXLl6xatYY+fdzzvKEiOvp7qlSp\nSmpqFqmphfNGoLDp+s0gHwoZh3dPxuD9oOvjIEG+cEjYfUe+//57unfvjkajQaFQMGTIEEaOHIme\nnh6WlpbMnj0ba2trTp8+Te/evVGr1YwcORIAJycnxo8fz5w5c+jatSsLFixg79692rITExPp27cv\nz58/Z9q0aSgUCiZNmsTgwYNRq9VYWFgQGBhYoHbWr1+fwYMHs2HDBs6ePUufPn1IS0ujTZs2mJmZ\n5Qi6r3v9SocOHQgMDGTlypUUL16clJQUAGrXrk1QUBBly5alYsWKr23Ly6cJeW6rXLkR7u79GTly\nMAYGBtja2jFr1jw8PLKXMgQGztBe55o1a9OmTXvOnPmesmXLMXRof217hw0bRYMGjbh3706OmV4A\npVLJmjUrsLCwxNfXW1tey5ZtcHPrx4QJkxk3bjRqtYYKFSrg6zsNgM8+68zVq7/i5vYVGo2Gzp27\n0rx5KwAiI8O5di0GHx9fAO7evUuJEqXeOCZCCCGEKDh59NgH7tGjR0yYMIGQkBAAIiIiuHXrFl5e\nXu+4ZYXvdY8eq1Ch4j9+WoT4e3R9FuVDIePw7skYvB90fRxkZrdwyMzuB+zw4cMsXryY6dOn/+1z\nHzx4wPjx47UzsK9mKhs2bKidQX7fVK5cWad/qQkhhBCi8MnMrvigSNh9t3R9FuVDIePw7skYvB90\nfRxkZrdwyKPHhBBCCCGEzpKwK4QQQgghdJaEXSGEEEIIobMk7AohhBBCCJ0lYVcIIYQQQugsCbtC\nCCGEEEJnSdgVQgghhBA6S8KuEEIIIYTQWRJ2hRBCCCGEzpKwK4QQQgghdJaEXSGEEEIIobMk7Aoh\nhBBCCJ0lYVcIIYQQQugsCbtCCCGEEEJnSdgVQgghhBA6S8KuEEIIIYTQWRJ2hRBCCCGEzjJ41w0Q\nojCEh28lMjIcPT09SpUqg4/PZKytrQF49OghQ4f2Z/36zVhaWgHw+++3mDMngLS0lygUegwdOpKG\nDRsBsHLlUqKijmBqakKNGrUYNcoLQ0NDbV1xcbGMGzeaXbsOAHD+/FmWLFmAQqEAID09nbt377Bm\nTSiVKzuzYcNaDh7ch0qlpn37T+nXb1CefSjocUIIIYQouLc+s3vv3j1Gjx6Nu7s7vXv3xt/fnxcv\nXrz2+CNHjpCYmEh8fDyurq6vPS4zM5Pt27fnW7ebmxu3bt36x21/nW3btqFSqYiJiWHp0qWFUuau\nXbtwc3PD1dWV+vXr4+7ujru7OwkJCYVS/l+dPXsWFxcXHj16pN02b948IiMj30p9r/ybaxYbG8uN\nG3G5vq5e/ZUtW8JYsWId69dvoUyZsqxevQyA/fv3MnLk/7V353E15v0fx1+n06ZVabGUsq9j54ex\njG0YDGOEQmUsDQZR0iTLFGPJyG0mJjIoW4ka69i3YcbYBmNmTFNuZC/RpjrVOb8/3HNuiSw34vg8\nHw8PznV9r2+f6/p21ft8z/ccXty+nVqkr/nz59CzZ29WrFhLQMBUpk37HLVazbZtmzl69AjLl69i\n+fI1WFuXY+nS+/UWFhYSE7MGX9+x5OTkaPtq1qwFK1asZfnyNSxfvoaqVavj7v4JNWvW5uefD3Pg\nwD6WL1/DqlUxnDx5nP379xQ7t59/PvJU7YQQQgjxbF5q2M3Ly2PUqFGMGDGCqKgo1q5dS4MGDfD1\n9X3sMZGRkWRlZQFoZ8oe5datW2zYsOGF1/w0wsPDKSwspHbt2owePfqF9Nm7d29WrVpFaGgoNWrU\nICoqiqioKOzs7F5I/49iaGhIQEDAS+v/Uf6Xa+YesJaApUeL/PGetxlDQ0Oio+MwMTEhLy+PlJRb\nWFqWJTU1lSNHDvHVV18X60uj0ZCZmQFAdnY2RkZGACQknKdt2/cwMTEFoH37jhw4sFe778KFJGbO\nnPvYGnfu3M7Nm9cZPnwkAIcOHaRLl24YGRlhYGBAjx692LXrh2LHHTp04KnaCSGEEOLZvNSwe+DA\nAf7v//6Pd955R7vto48+4s6dO3z++eccPnwYgB9//JGAgAAOHjzI+fPn8ff3Jz8/X3vMsWPHGDhw\nIO7u7gQGBlJQUMCSJUtISkp65lnCgoIC/Pz8cHV1ZcCAAWzfvh2AM2fOaLeNGzcOlUrF8ePH8fT0\nxMPDAxcXFy5dusSGDRtITU3Fx8eHY8eO4ePjA8DmzZtxcXFh0KBBTJ48mYKCAuLj4xk/fjwjR46k\nR48ezzVreuTIEby9vbWP3dzcuHXrFp06dcLX15d+/foRGBgIQFZWFuPGjcPT0xNPT08SEhJK7Ltl\ny5ZYWlqyZs2aItsfnlUfMGAA165dIywsDD8/P4YPH46Liwvx8fGMHDmSDz74gLNnzwKwevVqXF1d\ncXNzY/Xq1QAEBAQwcuRI3Nzc2LNnj/aaxcbG0rdvXz7++GPCwsKeeC1MLO0ws6pU5I+J5f0nA0ql\nkh9/PEDfvj04e/Y03bt/iI2NDTNnhuDk5IxGoynS14QJk1i1agUff9wDH58x+PoGoKenR9269Tl8\n+BDp6XfRaDTs2LGN27dvA1CnTj0CAqZhZ2f/yPruf18uwtt7Inp692+tW7duFmlva2v3yNn6p20n\nhBBCiGfzUsNucnIyjo6OxbY7ODhw/PjxYtvbt29P7dq1CQkJKbJGcurUqYSFhbFq1Srs7Oy0Iat6\n9erPPEsYExNDuXLliI6OZvny5SxcuJA7d+4wffp0Zs+eTUxMDO3btycpKYnExES++uoroqKi6NKl\nCzt27MDFxQVbW1sWLFgA3J99vnv3rra+NWvWYGFhQUxMDHA/gIaHh7N48WKWLFnyTLUCvPvuu/z9\n999kZmaSmJiItbU1dnZ23Lx5k/HjxxMbG8u9e/fYvXs34eHhtG7dmsjISIKDg/niiy9K7FuhUPDF\nF18QGRnJ5cuXi+171L/LlCnDsmXLeP/99zl06BDh4eGMGDGCbdu2kZSUxPbt21m3bh1r1qxh9+7d\n2mUkrVq1Yt26dVhYWKBQKEhLS2PZsmWsW7eOuLg4VCpVkaUBz6Nt2/fYunUPn3wyggkTPntsO5VK\nxfTpAQQGBhEXt41vvllKSMiXpKTcomvX7nTo0Ilx40YxevQwnJ2rYGDwdEvb9+/fg4ODI/XrN9Bu\n02jUxdr9E4Qf9LTthBBCCPFsXuob1Ozt7bUzfg+6dOkSzZs31z5+eNbtwcdpaWmkpKQwfvx44P7S\niNatWz93TUlJSdrjTU1NqV69OsnJyaSmplKlShUA+vbtC8C1a9eYMWMGpqam3Lx5kyZ7NjO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kn58hUJC1vw2JpHjhzDjh37KV++Al99NbvIvpiY74mJ+Z7Vq1dy6tQJ7fa2bd9j69Y9fPLJCCZM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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4555703f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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hAFhYWNC0aTOOHj2Es7OLckxS0h7S0m4SEhKhnNOjR1eMjY1/HZe2bNmyUcKu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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f45556776d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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J4cmTJ3h5eXH06FFu3ryJn58fbm7FTwm+5OTkxJ07d8jMzMTExIR9+/bRrVs3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WPHGDNmDO3bty91fLPZfMM2k8nExIkT+fXXX8nIyKB9+/YMGzaM+fPnU1BQwAMPPEC7du1uOO+X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\nsAKsou2/GwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4555677e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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zMzE1NWXnzp106dKFpKQkANRqNWq1WnN8UlIS5ubmmtcqlUrzc0ZGBsbGxn/Z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+Di4kJWVlahfd5+jOGPUlNT+f777/n2229xcHC477f7PT09uXDhQp59OTk5bNiwgapVq1KzZk3K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\nASgIFSD/zdgGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4555509e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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9AwG4eTOGDh066QJsmzZtCQ/fTp8+/dm8OQwDg+KZYYmJ9zEzM0OpVJZa7pYt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IjYLIVdEREREbFZCrsiIiIiYrMUdkVERETEZinsioiIiIjNUtgVEREREZtlLOwCRO6FSZMi8Pb2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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f45554a0588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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+95pUZsGCwOKz/m7qtkKFCvTo0YsOHZy4ceNbfH292LJlJ5UrWzJ37gIAduzY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gShVteq8Px5e7/LkiWLGDjQEyOjari4NMDfP+D/172Vc+fOEhAwlfbt3cnJSWfUKF8URcHOzp5J\nk6ZXeOxHVZkHECsaU7kHGiv/EKQQQgjxMCrl70+MCK1y69YtJk2axKpVqwCIi4vjypUrT/S1YM+q\n8+fPk5qaWWKdo6PTQx9u0xa6OLvwIOlPu+l6f6D7PUp/2kdmaB+dzNBqsW+//ZYlS5YQHBz82GNv\n3LjBxIkTNbNt92eKX3zxRc1M8LOmYcOGOnexEkIIIcSTkxlaoVV0OdDq4uzCg6Q/7abr/YHu9yj9\naR+ZoX108rVdQgghhBBCq0mgFUIIIYQQWk0CrRBCCCGE0GoSaIUQQgghhFaTQCuEEEIIIbSaBFoh\nhBBCCKHVJNAKIYQQQgitJoFWCCGEEEJoNQm0QgghhBBCq0mgFUIIIYQQWk0CrRBCCCGE0GoSaIUQ\nQgghhFaTQCuEEEIIIbSaBFohhBBCCKHVJNAKIYQQQgitJoFWCCGEEEJoNQm0QgghhBBCqxlUdQFC\nPC0zZ87A2dkFL6+BTJsWwPXr1wBQFIUbN67TsqUbs2cv5NChH5g5cwZ2dnaasVFRK6levbpmedOm\nDezcuZ2YmFgAsrIy6dGjG46Ojpp9PvzQj5Yt3fjuu29ZvXoFBgYGqNW2+PsHYGtrx+LFCzh58hdU\nKhWKopCcnIyNjZrVq9eXqn3//u/YsCGGnJxcbG3tmTZtBubmFv/QmRJCCCF0i1YE2sTERPz8/AgL\nCyMtLY3WrVs/9eP37NkTV1dXFEVBpVLx8ssvM2LEiDL3v3HjBmfPnuW1114r95jp6enMnTuXq1ev\nUlBQwHPPPUdwcDCmpqaPVdv58+dJT09/7J4fNi4xMZFu3bqxadMmmjZtCsDGjRtJSUlh1KhRj/Va\njyMlJYWlS5cSGBj42GPPnz9PampmiXWOjk5cu5ZAePhczpw5jbOzCwBhYXM1+5w9e4bp0yfh7z8J\ngNOnf6N/f2+8vX3KfJ3ffjvB+vUxWFj8FSh///00LVq0Ijx8SYl9r11LYMGC2SxdupL69Z04efJX\npk2byIoVMYwdO16z382bNxg5chjTp4eUer2zZ8+waNF8tm7dgoGBKUuWLOKTT5YxfvykxztBQggh\nxH+UVgTa+7755htsbGyeeqAFaNCgATExMY+0708//cTly5crDLR+fn54eXnRpUsXAFavXk1QUBAL\nFy58rLp2795dqZ4fZZyJiQmTJ09my5YtGBoaPtbxK8vGxqZSYRbAe/J6aljU0izfS0siYkJPvvgi\njjfe6ImtrV2pMQUFBYSFzWDMGH9sbNQAnDp1EkNDQ/bv/47q1aszbNgHNG/eEoDU1NssWjSPkSPH\nsG7das1xTp06SXp6GiNGvEdOTjY9e/bmrbc8uHjxPA0aNKR+fScAmjdvyY0bN7h582aJGeC5c8Pw\n8hqoCdwP2r17Fz16vIW9vT3JyRkMGTKM9PT0Sp0jIYQQ4r9IawLt3bt3iYuLw9DQEFdXV3Jycli0\naBH6+vrUrVuX4OBgduzYwb59+8jJySElJQVvb2++++47Lly4QEBAAJ06dSr3+IqilFpXVFREYGAg\nN2/eJDk5mU6dOvHhhx/yySefkJubS6tWrcoMtdevX+f27duaMAswePBgsrKyAPjiiy+IiYmhWrVq\n1KtXj5CQEHbs2MH3339PTk4OCQkJDBs2jLZt27Jt2zaMjIwq7Plh45o1a1Zmz46OjrRp04bw8HAC\nAgJKbOvQoQMHDx4EisN5//79uXbt2kPP765du1izZg36+vq4ubnh5+dHZGQkv/76K/fu3SMsLIwp\nU6YQGxvLvn37iIqKAqBp06aEhJSevXxQDYtamFrVLrV+3LiJABw7drTUth07tqNWq+nQoaNmnaWl\nJd27v0GHDh357bcTTJ7sz5o1G7G2rklw8HRGjRqHnl7J28sNDAzo0OEVBg8eyu3bKXz44XBsbNQ0\naNCIy5cvcfHiBVxcGnDw4AEyMtK5fTtFE2h//PEQyclJeHi8XWZfCQlXcXZuwIgRI4iPT8DZ2YXR\no/0qPBdCCCGE+IvWBFpLS0vc3d1Rq9U0a9aMbt26sWHDBqytrYmIiCAuLg4DAwOysrKIjo7mq6++\nYs2aNcTGxnLkyBFiYmIqDLQXL15k0KBBmlsOFixYQH5+Pi1atMDDw4O8vDxeeeUVxowZg6+vL1eu\nXCl3hjYpKYk6deqUWKdSqTA1NeXu3btERkby+eefU716debMmUNsbCw1atQgMzOTlStXEh8fz/vv\nv89bb71Fnz59Htrzw8aVR6VSMWbMGDw9PTl+/PgjvQ/lnd+1a9fi5uZGZGQk27Zto1q1akycOJHD\nhw8D4OzszJQpU0hMTESlUlFYWEhoaChbt27FysqK6OjoUrOaT8OmTeuZNGl6iXVhYfM0P7/wQgua\nNWvOzz8f4cqVy7Rs2Qo3tzb88suxEmMGDx6q+dnGRk2vXn04cGA/HTp0ZPLkQObPn0V+fj7u7h1x\ndm6AoeFf/2lt3ryBgQN9UKlUZdZYUFDA4cM/8Nln6ygsNCQqKoI5c8KYPXvB0zgFQgghhM7TmkD7\noNTUVJKTkxk7diyKopCXl0e7du2oW7eu5n5QMzMznJyKPwa2sLAgLy+vwmOWdctBZmYmv/32G0eO\nHMHExIT8/PxHqs/e3p4bN26UWFdQUMCuXbtwdHSkQYMGmgeQWrduzaFDh3jhhRdo0qSJZvzf662o\n54rGPYyhoSGzZs3C39+ffv36lbnPg7PX5Z3f3Nxc4uPjSU1NZdiwYSiKwr1790hISACgfv36JY55\n584dLCwssLKyAmDo0KFUhrW1KWq1GQDGxoaYmhprlv/44w9UKujS5RXN/hkZGaxfv57hw4c/cA70\nsbIyZcWKr6lZsyaHDn3PvXv3uHXrFr6+g4iLi2PdunV07twZe3t7AExMqmFqWh1LS2OaNWvEtm1b\nACgsLGTz5g00a9YIc3MzUlNTOXv2DCtWLMfY2LjMHurUeY5mzVyxtrYGYOBAL3x8fDR96BJd7OlB\n0p/20/UepT+hq7Qq0Orp6VFUVISVlRX29vYsXboUU1NT9u7di4mJCdevXy93FuxhyrrlIC4uDgsL\nC0JCQoiPj2fz5s0AmhnG8tja2mJtbc13331H586dAVizZg2nT58mMDCQixcvkpOTg7GxMUePHtU8\nOf9g7ffrUalUj9Xzg+MqqvHBfZs2bcqbb77JihUreOedd4DiAJ6dnY2+vj4XL17UjKno/Do4OGBv\nb8+qVavQ19cnLi6OJk2asGfPnlIf4desWZOMjAzS09MxNzcnLCyMXr16VTijXJbU1EySkzMAyMnJ\nJzMzR7O8d+8PNG/uplmG4ttI1q5dR82a9nTs+Brnz5/l5MnfmDBhGtu2faXZ79dfj7N48Xw++SSG\n5OQMDh/+iT/+uMDYseNJT08jNnYT48ZN5Pr127z9thdr1mygVi1b1q+PoVmz5uTmqkhOzuCHHw7R\nqFETMjLyycgo+3+IXn75FZYujWD48OHk5+sTF7eDhg0bl6hbF6jVZjrX04OkP+2n6z1Kf9pHAvqj\n05pAq1KpcHV1Zf78+Tg7OzN16lR8fX0pKirCzMyMuXPncv369Sc6/t+1bdsWf39/Tpw4gaGhIY6O\njiQlJdGoUSOWL1+Oq6srr7/+epnHmzdvHsHBwaxatYr8/HwcHBwIDQ3F1NSU0aNH4+3trbkXdvz4\n8Xz55Zdl1vP8888/Vs9/H+fi4sKLL7740J7ff/999u/fr1keNGgQ/fr1w8HBgdq1S9+3WhYrKyt8\nfHwYMGAARUVF1KlTp9zzo1KpCAwMxNfXF319fZo0afLQMHsvLanC5b+7du2qZkb1Pj09PebMCWfR\nonlER3+MgYEBISGzH/oVWX5+AcybNxNv734UFhbSt+/buLm1AWDSpGmMHz+aoiIFR0dHpk6doRmX\nkJCAnd1zpY63fftWzp07S0DAVNq3dyc5OQlvb2/y8wuws7MvdZuEEEIIIcqnUsqamhTiGVTe13bp\n6+tXUUVPly7OLjxI+tNuut4f6H6P0p/2kRnaR6c1M7RPQ3BwMBcvXtTMTN5/AGzlypUYGRk99vE2\nbdrEjh07Sh3P39+f5s2bP9XaKysqKoqffvqpVI2zZ89+5JnXZ0XDhg117mIlhBBCiCcnM7RCq+hy\noNXF2YUHSX/aTdf7A93vUfrTPjJD++j0Hr6LEEIIIYQQzy4JtEIIIYQQQqtJoBVCCCGEEFpNAq0Q\nQgghhNBqEmiFEEIIIYRWk0ArhBBCCCG0mgRaIYQQQgih1STQCiGEEEIIrSaBVgghhBBCaDUJtEII\nIYQQQqtJoBVCCCGEEFpNAq0QQgghhNBqEmiFEEIIIYRWk0ArhBBCCCG0mgRaIYQQQgih1STQCiGE\nEEIIrSaBVgghhBBCaDUJtEIIIYQQQqtJoBVCCCGEEFpNAq0QQgghhNBqEmiFEEIIIYRWk0ArhBBC\nCCG0mkpRFKWqixBCCCGEEKKyZIZWCCGEEEJoNQm0QgghhBBCq0mgFUIIIYQQWk0CrRBCCCGE0GoS\naIUQQgghhFaTQCuEEEIIIbSaBFrxTFEUhaCgILy8vBg0aBAJCQkltu/duxcPDw+8vLzYvHlzFVVZ\neQ/rb+fOnfTr14933nmHGTNmVE2RT+Bh/d0XGBhIeHj4v1zd0/GwHn/77TcGDBjAgAEDGDNmDHl5\neVVUaeU8rL8vvviCPn364OnpyYYNG6qoyid38uRJvL29S63X9mvMfeX1p+3XmPvK6+8+bb7GiEpS\nhHiG7N69W5k0aZKiKIpy4sQJ5YMPPtBsy8/PV7p27apkZGQoeXl5St++fZXbt29XVamVUlF/OTk5\nSteuXZXc3FxFURTFz89P2bt3b5XUWVkV9Xffhg0blLfffltZuHDhv13eU/GwHnv16qVcvXpVURRF\n2bx5s3LlypV/u8Qn8rD+2rdvr6Snpyt5eXlK165dlfT09Koo84msWLFCefPNN5W33367xHpduMYo\nSvn96cI1RlHK7+8+bb/GiMqRGVrxTDl+/Dju7u4ANG/enNOnT2u2Xbp0iXr16mFqaoqhoSFubm78\n/PPPVVVqpVTUn5GRERs3bsTIyAiAgoICqlWrViV1VlZF/QH8+uuvnDp1Ci8vr6oo76moqMcrV65g\naWnJqlWr8Pb2Ji0tDUdHxyqqtHIe9h42btyYtLQ0cnNzAVCpVP96jU+qXr16REVFlVqvC9cYKL8/\nXbjGQPn9gW5cY0TlSKAVz5TMzEzMzMw0ywYGBhQVFZW5zcTEhIyMjH+9xidRUX8qlQpra2sA1q5d\nS3Z2Nu3atauSOiurov6Sk5OJjIwkMDAQRYt/QWFFPd65c4cTJ07g7e3NqlWrOHz4MEeOHKmqUiul\nov4AGjRoQN++fenRowevvvoqpqamVVHmE+natSv6+vql1uvCNQbK708XrjFQfn+6co0RlWNQ1QUI\n8SBTU1OysrI0y0VFRejp6Wm2ZWZmarZlZWVhbm7+r9f4JCrqD4rvX5w3bx7x8fFERkZWRYlPpKL+\nvv76a+7evcuwYcNITk4mNzcXJycn3nrrraoqt1Iq6tHS0pK6detSv359ANzd3Tl9+jQvvfRSldRa\nGRX1d+7cOfbv38/evXupUaMG48eP55tvvqFbt25VVe5TpQvXmIfR9mtMRXTlGiMqR2ZoxTOlVatW\nfP/99wCcOHGChg0barY5OzsTHx9Peno6eXl5/Pzzz7Ro0aKqSq2UivoDmD59Ovn5+SxdulTzsaA2\nqag/b29vtm7dSkxMDL6+vrz55pta+RdNRT06ODhw7949zYNUx48fx8XFpUrqrKyK+jMzM6N69eoY\nGRlpZvvS09OrqtQn9vdZPF24xjyorFlKbb/GPOjv/enKNUZUjszQimdK165dOXTokOb+p9mzZ7Nz\n506ys7Px9PRk8uTJDBkyBEVR8PT0pFatWlVc8eOpqD9XV1e2bduGm5sb3t7eqFQqBg0aRJcuXaq4\n6kf3sPdPFzysx5kzZ+Ln5wdAy5Yt6dixY1WW+9ge1t/9J+SNjIyoW7cuvXv3rjdeDmgAAARwSURB\nVOKKK+/+/b+6dI150N/704VrzIPKev/Ef5dKkRtNhBBCCCGEFpNbDoQQQgghhFaTQCuEEEIIIbSa\nBFohhBBCCKHVJNAKIYQQQgitJoFWCCGEEOIfcvLkSby9vSvcZ86cOXh6euLl5cUvv/zyL1WmW+Rr\nu4QQQggh/gErV67k888/x8TEpNx9zp49y4kTJ9i8eTPx8fGMGzeObdu2/YtV6gYJtEIIoaMSExPp\n1q0bDRo0AIq/iF6lUvHxxx9ja2tbxdUJofvq1atHVFQUEydOBIp/297MmTOB4t8sOGvWLGxtbTE2\nNiYvL4+MjAyt/4UXVUUCrRBC6DBbW1vi4uKqugwh/pO6du1KYmKiZjkwMJBZs2bh7OzMli1bWLFi\nBe+99x4qlYru3buTlZVFaGhoFVasvSTQCiHEf9yOHTuIjo5GX1+fOnXqMH/+fIyMjJg/fz579uzB\n0NCQfv36MWjQIP7880+mT59OWloaNWrUYNq0aTz//PNMnjyZO3fukJCQwIQJE6hZsyazZ88mJycH\nKysrQkJCqF27dlW3KkSVunTpEsHBwQAUFBRQr149tm/fjlqtZtWqVWRmZtK/f3+aN28un6I8Jgm0\nQgihw27dukXv3r01txv06NGDIUOGlNgnIiKCTZs2YW1tTUREBJcvX+bPP//kxIkTfPnll+Tl5TFg\nwABef/11JkyYwPDhw+nSpQsnT55k9OjRfPPNNwBYWVnx8ccfk5+fj4eHB8uXL8fOzo6DBw8ybdo0\nVq1aVRWnQIhnhpOTE/PmzcPOzo5ffvmFlJQUcnJyqFGjBgDVq1fHyMiI7OzsKq5U+0igFUIIHfYo\ntxx06tSJ/v3707lzZ7p3707jxo3ZvHkz//d//4eBgQEGBgbExcVx7949rl69SpcuXQBo3rw5lpaW\nXLlyRbMM8Oeff3L16lU++OADTZDOysr6ZxsVQgsEBQUxYcIECgsL0dPTY+bMmTg4OHD8+HG8vLxQ\nFIUePXrg6OhY1aVqHQm0QgjxHzdlyhQ8PDzYv38/EyZMYOTIkRgYlPzrITExEQsLi1Jji4qKKCws\nBMDY2BiAwsJC6tatqwnSiqKQnJz8D3chxLOpdu3abNy4EQBXV1fWrl1bap/7tyGIypPvoRVCCB2m\nKEqF2wsLC+nWrRtWVlb4+vrSs2dP/vjjD9q0acPu3bspKCggOzub9957j9u3b+Pg4MC3334LwIkT\nJ0hJSdF8i8J9Tk5OpKWlcezYMQA2b97M+PHj/5kGhRACmaEVQgidplKpKtyur6/PmDFj8PHxwdjY\nGAsLC+bMmUOtWrU4ffo0vXv3BsDHx4d69eoxb948goKC+Oijj6hWrRpRUVGlZnONjIyIiIggLCyM\nvLw8TE1NmTt37j/WoxBCqJSH/e+7EEIIIYQQzzC55UAIIYQQQmg1CbRCCCGEEEKrSaAVQgghhBBa\nTQKtEEIIIYTQahJohRBCCCGEVpNAK4QQQgghtJoEWiGEEEIIodUk0AohhBBCCK32/wBNlfjT83Qq\niwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f45554a0da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train = trainfull_df[:int(trainfull_df.shape[0]*0.8)]\n",
    "# print(train)\n",
    "test = trainfull_df[int(trainfull_df.shape[0]*0.8):]\n",
    "# print(test)\n",
    "\n",
    "estimators = [50, 75, 100, 125, 150, 200, 250, 500]\n",
    "for e in estimators:\n",
    "    xg = xgb.XGBRegressor(n_estimators = e)\n",
    "    \n",
    "#     plt.figure(figsize=(10,10))\n",
    "    xg.fit(train[features2], train['Item_Outlet_Sales'])\n",
    "    xgb.plot_importance(xg, importance_type='gain')#, ax=ax1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Determining which of *RandomForestRegressor* or *GradientBoostingRegressor* or *XGBRegressor* will have minimum RMSE Error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def prediction_function(train, test):\n",
    "    estimators = [50, 75, 80, 100, 125, 150, 200, 250, 500]\n",
    "\n",
    "    final = []\n",
    "\n",
    "    for e in estimators:\n",
    "        rf = RandomForestRegressor(random_state = 1, n_estimators = e, min_samples_split = 8, min_samples_leaf = 4)\n",
    "        gbr = GradientBoostingRegressor(random_state = 1, n_estimators = e, min_samples_split = 8, \n",
    "                                        min_samples_leaf = 4, learning_rate = 0.1)\n",
    "        xg = xgb.XGBRegressor(n_estimators = e)\n",
    "\n",
    "        rf.fit(train[features], train['Item_Outlet_Sales'])\n",
    "        predictions_rf = rf.predict(test[features])\n",
    "        predictions_rf = predictions_rf.astype(int)\n",
    "\n",
    "        gbr.fit(train[features], train['Item_Outlet_Sales'])\n",
    "        predictions_gbr = gbr.predict(test[features])\n",
    "        predictions_gbr = predictions_gbr.astype(int)\n",
    "\n",
    "        xg.fit(train[features], train['Item_Outlet_Sales'])\n",
    "        predictions_xg = xg.predict(test[features])\n",
    "        predictions_xg = predictions_xg.astype(int)\n",
    "\n",
    "        mse_rf = (np.sqrt(mean_squared_error(test['Item_Outlet_Sales'], predictions_rf)), 'RF')\n",
    "        mse_gbr = (np.sqrt(mean_squared_error(test['Item_Outlet_Sales'], predictions_gbr)), 'GBR')\n",
    "        mse_xg = (np.sqrt(mean_squared_error(test['Item_Outlet_Sales'], predictions_xg)), 'XGB')\n",
    "\n",
    "        error_min = min(mse_rf, min(mse_gbr, mse_xg))\n",
    "#         print(error_min)\n",
    "        final.append((error_min, e))\n",
    "\n",
    "    min_final = min(final)\n",
    "    print(\"Minimum MSE, regressor to use and number of estimators: \"+str(min_final))\n",
    "    return list(min_final)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimum MSE, regressor to use and number of estimators: ((1083.9065669828547, 'XGB'), 100)\n"
     ]
    }
   ],
   "source": [
    "train = trainfull_df[:int(trainfull_df.shape[0]*0.8)]\n",
    "test = trainfull_df[int(trainfull_df.shape[0]*0.8):]\n",
    "min_final = prediction_function(train, test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "e_to_use = min_final[1]\n",
    "regressor_to_use = min_final[0][1]\n",
    "# print(\"Mimimum RMSE error was for \"+str(regressor_to_use)+\" with \"+str(e_to_use)+\" estimators\")\n",
    "\n",
    "if(regressor_to_use == 'RF'):\n",
    "    reg = RandomForestRegressor(random_state = 1, n_estimators = e_to_use, min_samples_split = 8, min_samples_leaf = 4)\n",
    "elif(regressor_to_use == 'GBR'):\n",
    "    reg = GradientBoostingRegressor(random_state = 1, n_estimators = e_to_use, min_samples_split = 8, min_samples_leaf = 4, learning_rate = 0.1)\n",
    "else:\n",
    "    reg = xgb.XGBRegressor(n_estimators = e_to_use)\n",
    "\n",
    "reg.fit(trainfull_df[features], trainfull_df['Item_Outlet_Sales'])\n",
    "predictions = reg.predict(testfull_df[features])\n",
    "predictions = predictions.astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Writing final output to csv file *output.csv*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sub = pd.DataFrame({'Item_Identifier' : testfull_df['Item_Identifier'], 'Outlet_Identifier' : testfull_df['Outlet_Identifier'], 'Item_Outlet_Sales' : predictions})\n",
    "sub.to_csv('./output.csv', index=False)"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
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}