Sales_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "xls = pd.ExcelFile('cust_journey/fin_dist.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reading sheet 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Building</th>\n",
       "      <th>Month</th>\n",
       "      <th>Year</th>\n",
       "      <th>Category</th>\n",
       "      <th>Tenant</th>\n",
       "      <th>Cat_Sales</th>\n",
       "      <th>Lease_Sales</th>\n",
       "      <th>Cat_Groc</th>\n",
       "      <th>Lease_Groc</th>\n",
       "      <th>Cat_Sales_PSF</th>\n",
       "      <th>Lease_Sales_PSF</th>\n",
       "      <th>Cat_GLA</th>\n",
       "      <th>Lease_GLA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Children &amp; Infants Apparel</td>\n",
       "      <td>Childrens Place, The</td>\n",
       "      <td>1504219.33</td>\n",
       "      <td>296994.16</td>\n",
       "      <td>31.99</td>\n",
       "      <td>53.12</td>\n",
       "      <td>84.9217</td>\n",
       "      <td>61.1854</td>\n",
       "      <td>17713</td>\n",
       "      <td>4854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Children &amp; Infants Apparel</td>\n",
       "      <td>Gap Kids</td>\n",
       "      <td>1504219.33</td>\n",
       "      <td>653492.57</td>\n",
       "      <td>31.99</td>\n",
       "      <td>27.67</td>\n",
       "      <td>84.9217</td>\n",
       "      <td>97.7550</td>\n",
       "      <td>17713</td>\n",
       "      <td>6685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Children &amp; Infants Apparel</td>\n",
       "      <td>Gymboree</td>\n",
       "      <td>1504219.33</td>\n",
       "      <td>186516.43</td>\n",
       "      <td>31.99</td>\n",
       "      <td>29.38</td>\n",
       "      <td>84.9217</td>\n",
       "      <td>115.9207</td>\n",
       "      <td>17713</td>\n",
       "      <td>1609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Children &amp; Infants Apparel</td>\n",
       "      <td>Kids Foot Locker</td>\n",
       "      <td>1504219.33</td>\n",
       "      <td>367216.17</td>\n",
       "      <td>31.99</td>\n",
       "      <td>26.15</td>\n",
       "      <td>84.9217</td>\n",
       "      <td>80.4416</td>\n",
       "      <td>17713</td>\n",
       "      <td>4565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Apple</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>11782680.00</td>\n",
       "      <td>7.82</td>\n",
       "      <td>2.76</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>1169.0326</td>\n",
       "      <td>34097</td>\n",
       "      <td>10079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Bell Mobility</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>327854.75</td>\n",
       "      <td>7.82</td>\n",
       "      <td>35.89</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>180.3381</td>\n",
       "      <td>34097</td>\n",
       "      <td>1818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Best Buy Mobile</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>435730.62</td>\n",
       "      <td>7.82</td>\n",
       "      <td>14.62</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>406.0863</td>\n",
       "      <td>34097</td>\n",
       "      <td>1073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Bose</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>178446.12</td>\n",
       "      <td>7.82</td>\n",
       "      <td>15.50</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>133.1687</td>\n",
       "      <td>34097</td>\n",
       "      <td>1340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>EB Games</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>303262.59</td>\n",
       "      <td>7.82</td>\n",
       "      <td>17.10</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>276.6994</td>\n",
       "      <td>34097</td>\n",
       "      <td>1096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Freedom Mobile</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>123215.07</td>\n",
       "      <td>7.82</td>\n",
       "      <td>42.68</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>100.6659</td>\n",
       "      <td>34097</td>\n",
       "      <td>1224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Koodo</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>35744.82</td>\n",
       "      <td>7.82</td>\n",
       "      <td>107.62</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>35.7448</td>\n",
       "      <td>34097</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>1102999.43</td>\n",
       "      <td>7.82</td>\n",
       "      <td>10.01</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>161.1629</td>\n",
       "      <td>34097</td>\n",
       "      <td>6844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Rogers</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>57934.00</td>\n",
       "      <td>7.82</td>\n",
       "      <td>159.68</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>50.8192</td>\n",
       "      <td>34097</td>\n",
       "      <td>1140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Samsung</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>827273.47</td>\n",
       "      <td>7.82</td>\n",
       "      <td>11.38</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>247.3164</td>\n",
       "      <td>34097</td>\n",
       "      <td>3345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Source, The</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>443691.47</td>\n",
       "      <td>7.82</td>\n",
       "      <td>13.74</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>266.1616</td>\n",
       "      <td>34097</td>\n",
       "      <td>1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Telus</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>169447.72</td>\n",
       "      <td>7.82</td>\n",
       "      <td>71.54</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>92.8480</td>\n",
       "      <td>34097</td>\n",
       "      <td>1825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Virgin Mobile</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>215091.28</td>\n",
       "      <td>7.82</td>\n",
       "      <td>61.67</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>495.6020</td>\n",
       "      <td>34097</td>\n",
       "      <td>434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>WirelessWave</td>\n",
       "      <td>16325073.58</td>\n",
       "      <td>321702.24</td>\n",
       "      <td>7.82</td>\n",
       "      <td>15.91</td>\n",
       "      <td>478.7832</td>\n",
       "      <td>265.4308</td>\n",
       "      <td>34097</td>\n",
       "      <td>1212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>AllSaints</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>780444.24</td>\n",
       "      <td>19.53</td>\n",
       "      <td>29.17</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>117.7140</td>\n",
       "      <td>159943</td>\n",
       "      <td>6630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>American Eagle Outfitters</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>576842.68</td>\n",
       "      <td>19.53</td>\n",
       "      <td>25.03</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>92.9042</td>\n",
       "      <td>159943</td>\n",
       "      <td>6209</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Building  Month  Year  \\\n",
       "0   Yorkdale Shopping Centre           11  2017   \n",
       "1   Yorkdale Shopping Centre           11  2017   \n",
       "2   Yorkdale Shopping Centre           11  2017   \n",
       "3   Yorkdale Shopping Centre           11  2017   \n",
       "4   Yorkdale Shopping Centre           11  2017   \n",
       "5   Yorkdale Shopping Centre           11  2017   \n",
       "6   Yorkdale Shopping Centre           11  2017   \n",
       "7   Yorkdale Shopping Centre           11  2017   \n",
       "8   Yorkdale Shopping Centre           11  2017   \n",
       "9   Yorkdale Shopping Centre           11  2017   \n",
       "10  Yorkdale Shopping Centre           11  2017   \n",
       "11  Yorkdale Shopping Centre           11  2017   \n",
       "12  Yorkdale Shopping Centre           11  2017   \n",
       "13  Yorkdale Shopping Centre           11  2017   \n",
       "14  Yorkdale Shopping Centre           11  2017   \n",
       "15  Yorkdale Shopping Centre           11  2017   \n",
       "16  Yorkdale Shopping Centre           11  2017   \n",
       "17  Yorkdale Shopping Centre           11  2017   \n",
       "18  Yorkdale Shopping Centre           11  2017   \n",
       "19  Yorkdale Shopping Centre           11  2017   \n",
       "\n",
       "                          Category                          Tenant  \\\n",
       "0   Children & Infants Apparel      Childrens Place, The             \n",
       "1   Children & Infants Apparel      Gap Kids                         \n",
       "2   Children & Infants Apparel      Gymboree                         \n",
       "3   Children & Infants Apparel      Kids Foot Locker                 \n",
       "4   Electronics                     Apple                            \n",
       "5   Electronics                     Bell Mobility                    \n",
       "6   Electronics                     Best Buy Mobile                  \n",
       "7   Electronics                     Bose                             \n",
       "8   Electronics                     EB Games                         \n",
       "9   Electronics                     Freedom Mobile                   \n",
       "10  Electronics                     Koodo                            \n",
       "11  Electronics                     Microsoft                        \n",
       "12  Electronics                     Rogers                           \n",
       "13  Electronics                     Samsung                          \n",
       "14  Electronics                     Source, The                      \n",
       "15  Electronics                     Telus                            \n",
       "16  Electronics                     Virgin Mobile                    \n",
       "17  Electronics                     WirelessWave                     \n",
       "18  Family Apparel                  AllSaints                        \n",
       "19  Family Apparel                  American Eagle Outfitters        \n",
       "\n",
       "      Cat_Sales  Lease_Sales  Cat_Groc  Lease_Groc  Cat_Sales_PSF  \\\n",
       "0    1504219.33    296994.16     31.99       53.12        84.9217   \n",
       "1    1504219.33    653492.57     31.99       27.67        84.9217   \n",
       "2    1504219.33    186516.43     31.99       29.38        84.9217   \n",
       "3    1504219.33    367216.17     31.99       26.15        84.9217   \n",
       "4   16325073.58  11782680.00      7.82        2.76       478.7832   \n",
       "5   16325073.58    327854.75      7.82       35.89       478.7832   \n",
       "6   16325073.58    435730.62      7.82       14.62       478.7832   \n",
       "7   16325073.58    178446.12      7.82       15.50       478.7832   \n",
       "8   16325073.58    303262.59      7.82       17.10       478.7832   \n",
       "9   16325073.58    123215.07      7.82       42.68       478.7832   \n",
       "10  16325073.58     35744.82      7.82      107.62       478.7832   \n",
       "11  16325073.58   1102999.43      7.82       10.01       478.7832   \n",
       "12  16325073.58     57934.00      7.82      159.68       478.7832   \n",
       "13  16325073.58    827273.47      7.82       11.38       478.7832   \n",
       "14  16325073.58    443691.47      7.82       13.74       478.7832   \n",
       "15  16325073.58    169447.72      7.82       71.54       478.7832   \n",
       "16  16325073.58    215091.28      7.82       61.67       478.7832   \n",
       "17  16325073.58    321702.24      7.82       15.91       478.7832   \n",
       "18  31582267.03    780444.24     19.53       29.17       197.4595   \n",
       "19  31582267.03    576842.68     19.53       25.03       197.4595   \n",
       "\n",
       "    Lease_Sales_PSF  Cat_GLA  Lease_GLA  \n",
       "0           61.1854    17713       4854  \n",
       "1           97.7550    17713       6685  \n",
       "2          115.9207    17713       1609  \n",
       "3           80.4416    17713       4565  \n",
       "4         1169.0326    34097      10079  \n",
       "5          180.3381    34097       1818  \n",
       "6          406.0863    34097       1073  \n",
       "7          133.1687    34097       1340  \n",
       "8          276.6994    34097       1096  \n",
       "9          100.6659    34097       1224  \n",
       "10          35.7448    34097       1000  \n",
       "11         161.1629    34097       6844  \n",
       "12          50.8192    34097       1140  \n",
       "13         247.3164    34097       3345  \n",
       "14         266.1616    34097       1667  \n",
       "15          92.8480    34097       1825  \n",
       "16         495.6020    34097        434  \n",
       "17         265.4308    34097       1212  \n",
       "18         117.7140   159943       6630  \n",
       "19          92.9042   159943       6209  "
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sheet1 = xls.parse(0)\n",
    "sheet1.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Building', 'Month', 'Year', 'Category', 'Tenant', 'Cat_Sales',\n",
       "       'Lease_Sales', 'Cat_Groc', 'Lease_Groc', 'Cat_Sales_PSF',\n",
       "       'Lease_Sales_PSF', 'Cat_GLA', 'Lease_GLA'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sheet1.describe()\n",
    "sheet1.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### analyzing data by category, by month"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Kids apparel first"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "nov = sheet1[ (sheet1.Month == 11)]\n",
    "dec = sheet1[ (sheet1.Month == 12)]\n",
    "kidslist = 'Children & Infants Apparel'\n",
    "nov_dec = sheet1[ (sheet1.Month == 11) | (sheet1.Month == 12)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Building</th>\n",
       "      <th>Month</th>\n",
       "      <th>Year</th>\n",
       "      <th>Category</th>\n",
       "      <th>Tenant</th>\n",
       "      <th>Cat_Sales</th>\n",
       "      <th>Lease_Sales</th>\n",
       "      <th>Cat_Groc</th>\n",
       "      <th>Lease_Groc</th>\n",
       "      <th>Cat_Sales_PSF</th>\n",
       "      <th>Lease_Sales_PSF</th>\n",
       "      <th>Cat_GLA</th>\n",
       "      <th>Lease_GLA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Children &amp; Infants Apparel</td>\n",
       "      <td>Childrens Place, The</td>\n",
       "      <td>1504219.33</td>\n",
       "      <td>296994.16</td>\n",
       "      <td>31.99</td>\n",
       "      <td>53.12</td>\n",
       "      <td>84.9217</td>\n",
       "      <td>61.1854</td>\n",
       "      <td>17713</td>\n",
       "      <td>4854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Children &amp; Infants Apparel</td>\n",
       "      <td>Gap Kids</td>\n",
       "      <td>1504219.33</td>\n",
       "      <td>653492.57</td>\n",
       "      <td>31.99</td>\n",
       "      <td>27.67</td>\n",
       "      <td>84.9217</td>\n",
       "      <td>97.7550</td>\n",
       "      <td>17713</td>\n",
       "      <td>6685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Children &amp; Infants Apparel</td>\n",
       "      <td>Gymboree</td>\n",
       "      <td>1504219.33</td>\n",
       "      <td>186516.43</td>\n",
       "      <td>31.99</td>\n",
       "      <td>29.38</td>\n",
       "      <td>84.9217</td>\n",
       "      <td>115.9207</td>\n",
       "      <td>17713</td>\n",
       "      <td>1609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Children &amp; Infants Apparel</td>\n",
       "      <td>Kids Foot Locker</td>\n",
       "      <td>1504219.33</td>\n",
       "      <td>367216.17</td>\n",
       "      <td>31.99</td>\n",
       "      <td>26.15</td>\n",
       "      <td>84.9217</td>\n",
       "      <td>80.4416</td>\n",
       "      <td>17713</td>\n",
       "      <td>4565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Children &amp; Infants Apparel</td>\n",
       "      <td>Childrens Place, The</td>\n",
       "      <td>2082294.44</td>\n",
       "      <td>371654.00</td>\n",
       "      <td>32.74</td>\n",
       "      <td>52.42</td>\n",
       "      <td>117.5574</td>\n",
       "      <td>76.5665</td>\n",
       "      <td>17713</td>\n",
       "      <td>4854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Children &amp; Infants Apparel</td>\n",
       "      <td>Gap Kids</td>\n",
       "      <td>2082294.44</td>\n",
       "      <td>749711.50</td>\n",
       "      <td>32.74</td>\n",
       "      <td>28.65</td>\n",
       "      <td>117.5574</td>\n",
       "      <td>112.1483</td>\n",
       "      <td>17713</td>\n",
       "      <td>6685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Children &amp; Infants Apparel</td>\n",
       "      <td>Gymboree</td>\n",
       "      <td>2082294.44</td>\n",
       "      <td>197136.98</td>\n",
       "      <td>32.74</td>\n",
       "      <td>31.03</td>\n",
       "      <td>117.5574</td>\n",
       "      <td>122.5214</td>\n",
       "      <td>17713</td>\n",
       "      <td>1609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Children &amp; Infants Apparel</td>\n",
       "      <td>Kids Foot Locker</td>\n",
       "      <td>2082294.44</td>\n",
       "      <td>763791.96</td>\n",
       "      <td>32.74</td>\n",
       "      <td>26.70</td>\n",
       "      <td>117.5574</td>\n",
       "      <td>167.3147</td>\n",
       "      <td>17713</td>\n",
       "      <td>4565</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Building  Month  Year  \\\n",
       "0    Yorkdale Shopping Centre           11  2017   \n",
       "1    Yorkdale Shopping Centre           11  2017   \n",
       "2    Yorkdale Shopping Centre           11  2017   \n",
       "3    Yorkdale Shopping Centre           11  2017   \n",
       "238  Yorkdale Shopping Centre           12  2017   \n",
       "239  Yorkdale Shopping Centre           12  2017   \n",
       "240  Yorkdale Shopping Centre           12  2017   \n",
       "241  Yorkdale Shopping Centre           12  2017   \n",
       "\n",
       "                           Category                          Tenant  \\\n",
       "0    Children & Infants Apparel      Childrens Place, The             \n",
       "1    Children & Infants Apparel      Gap Kids                         \n",
       "2    Children & Infants Apparel      Gymboree                         \n",
       "3    Children & Infants Apparel      Kids Foot Locker                 \n",
       "238  Children & Infants Apparel      Childrens Place, The             \n",
       "239  Children & Infants Apparel      Gap Kids                         \n",
       "240  Children & Infants Apparel      Gymboree                         \n",
       "241  Children & Infants Apparel      Kids Foot Locker                 \n",
       "\n",
       "      Cat_Sales  Lease_Sales  Cat_Groc  Lease_Groc  Cat_Sales_PSF  \\\n",
       "0    1504219.33    296994.16     31.99       53.12        84.9217   \n",
       "1    1504219.33    653492.57     31.99       27.67        84.9217   \n",
       "2    1504219.33    186516.43     31.99       29.38        84.9217   \n",
       "3    1504219.33    367216.17     31.99       26.15        84.9217   \n",
       "238  2082294.44    371654.00     32.74       52.42       117.5574   \n",
       "239  2082294.44    749711.50     32.74       28.65       117.5574   \n",
       "240  2082294.44    197136.98     32.74       31.03       117.5574   \n",
       "241  2082294.44    763791.96     32.74       26.70       117.5574   \n",
       "\n",
       "     Lease_Sales_PSF  Cat_GLA  Lease_GLA  \n",
       "0            61.1854    17713       4854  \n",
       "1            97.7550    17713       6685  \n",
       "2           115.9207    17713       1609  \n",
       "3            80.4416    17713       4565  \n",
       "238          76.5665    17713       4854  \n",
       "239         112.1483    17713       6685  \n",
       "240         122.5214    17713       1609  \n",
       "241         167.3147    17713       4565  "
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nov_dec_kids = sheet1[sheet1['Category'].str.contains(kidslist)]\n",
    "nov_dec_kids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "kids_nov = nov[nov['Category'].str.contains(kidslist)]\n",
    "kids_dec = dec[dec['Category'].str.contains(kidslist)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Building            object\n",
       "Month                int64\n",
       "Year                 int64\n",
       "Category            object\n",
       "Tenant              object\n",
       "Cat_Sales          float64\n",
       "Lease_Sales        float64\n",
       "Cat_Groc           float64\n",
       "Lease_Groc         float64\n",
       "Cat_Sales_PSF      float64\n",
       "Lease_Sales_PSF    float64\n",
       "Cat_GLA              int64\n",
       "Lease_GLA            int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kids_dec.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
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hobpw4YKaNWumc+fOKTk5WRs3blSjRo1ks9kUGBio5ORkhYaGKj09XUOGDFH16tULPPZG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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x108a9390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import rc\n",
    "# y-axis in bold\n",
    "rc('font', weight='bold')\n",
    " \n",
    "# Values of each group\n",
    "bars1 = kids_nov['Lease_Sales']\n",
    "bars2 = kids_dec['Lease_Sales']\n",
    "\n",
    "# The position of the bars on the x-axis\n",
    "# r = [0,1,2,3]\n",
    "\n",
    "# Names of group and bar width\n",
    "names = kids_nov['Tenant']\n",
    "barWidth = 0.4\n",
    "plt.figure(figsize=(8,8))\n",
    "# Create brown bars and name them to be able to pass on a legend\n",
    "one = plt.bar(r, bars1, color='#7f6d5f', edgecolor='white', width=barWidth)\n",
    "# Create green bars (middle), on top of the first ones and name them as well\n",
    "two = plt.bar(r, bars2, bottom=bars1, color='#557f2d', edgecolor='white', width=barWidth)\n",
    "plt.legend([one, two], ['Nov_Sales', 'Dec_Sales'])\n",
    "# Custom X axis\n",
    "plt.xticks(r, names, fontweight='bold')\n",
    "plt.xlabel(\"Tenant\",fontweight='bold' )\n",
    "plt.savefig('Nov_Dec Kids Apparel', dpi=300, edgecolor='w',bbox_inches=\"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Electronics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "elec_list = 'Electronics'\n",
    "# nov_dec = sheet1[ (sheet1.Month == 11) | (sheet1.Month == 12)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month</th>\n",
       "      <th>Year</th>\n",
       "      <th>Cat_Sales</th>\n",
       "      <th>Lease_Sales</th>\n",
       "      <th>Cat_Groc</th>\n",
       "      <th>Lease_Groc</th>\n",
       "      <th>Cat_Sales_PSF</th>\n",
       "      <th>Lease_Sales_PSF</th>\n",
       "      <th>Cat_GLA</th>\n",
       "      <th>Lease_GLA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.800000e+01</td>\n",
       "      <td>2.800000e+01</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.0</td>\n",
       "      <td>28.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>11.500000</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>1.929631e+07</td>\n",
       "      <td>1.378308e+06</td>\n",
       "      <td>7.835000</td>\n",
       "      <td>41.722857</td>\n",
       "      <td>565.923950</td>\n",
       "      <td>316.581714</td>\n",
       "      <td>34097.0</td>\n",
       "      <td>2435.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.509175</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.025760e+06</td>\n",
       "      <td>3.409000e+06</td>\n",
       "      <td>0.015275</td>\n",
       "      <td>46.709055</td>\n",
       "      <td>88.739796</td>\n",
       "      <td>320.066981</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2660.969157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>1.632507e+07</td>\n",
       "      <td>2.676101e+04</td>\n",
       "      <td>7.820000</td>\n",
       "      <td>2.760000</td>\n",
       "      <td>478.783200</td>\n",
       "      <td>35.744800</td>\n",
       "      <td>34097.0</td>\n",
       "      <td>434.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>1.632507e+07</td>\n",
       "      <td>1.761965e+05</td>\n",
       "      <td>7.820000</td>\n",
       "      <td>13.715000</td>\n",
       "      <td>478.783200</td>\n",
       "      <td>110.749050</td>\n",
       "      <td>34097.0</td>\n",
       "      <td>1096.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>11.500000</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>1.929631e+07</td>\n",
       "      <td>3.247785e+05</td>\n",
       "      <td>7.835000</td>\n",
       "      <td>16.545000</td>\n",
       "      <td>565.923950</td>\n",
       "      <td>256.373600</td>\n",
       "      <td>34097.0</td>\n",
       "      <td>1282.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>2.226755e+07</td>\n",
       "      <td>5.874059e+05</td>\n",
       "      <td>7.850000</td>\n",
       "      <td>60.695000</td>\n",
       "      <td>653.064700</td>\n",
       "      <td>409.908075</td>\n",
       "      <td>34097.0</td>\n",
       "      <td>1825.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>2.226755e+07</td>\n",
       "      <td>1.461388e+07</td>\n",
       "      <td>7.850000</td>\n",
       "      <td>186.240000</td>\n",
       "      <td>653.064700</td>\n",
       "      <td>1449.933000</td>\n",
       "      <td>34097.0</td>\n",
       "      <td>10079.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Month    Year     Cat_Sales   Lease_Sales   Cat_Groc  Lease_Groc  \\\n",
       "count  28.000000    28.0  2.800000e+01  2.800000e+01  28.000000   28.000000   \n",
       "mean   11.500000  2017.0  1.929631e+07  1.378308e+06   7.835000   41.722857   \n",
       "std     0.509175     0.0  3.025760e+06  3.409000e+06   0.015275   46.709055   \n",
       "min    11.000000  2017.0  1.632507e+07  2.676101e+04   7.820000    2.760000   \n",
       "25%    11.000000  2017.0  1.632507e+07  1.761965e+05   7.820000   13.715000   \n",
       "50%    11.500000  2017.0  1.929631e+07  3.247785e+05   7.835000   16.545000   \n",
       "75%    12.000000  2017.0  2.226755e+07  5.874059e+05   7.850000   60.695000   \n",
       "max    12.000000  2017.0  2.226755e+07  1.461388e+07   7.850000  186.240000   \n",
       "\n",
       "       Cat_Sales_PSF  Lease_Sales_PSF  Cat_GLA     Lease_GLA  \n",
       "count      28.000000        28.000000     28.0     28.000000  \n",
       "mean      565.923950       316.581714  34097.0   2435.500000  \n",
       "std        88.739796       320.066981      0.0   2660.969157  \n",
       "min       478.783200        35.744800  34097.0    434.000000  \n",
       "25%       478.783200       110.749050  34097.0   1096.000000  \n",
       "50%       565.923950       256.373600  34097.0   1282.000000  \n",
       "75%       653.064700       409.908075  34097.0   1825.000000  \n",
       "max       653.064700      1449.933000  34097.0  10079.000000  "
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nov_dec_elec = sheet1[sheet1['Category'].str.contains(elec_list)]\n",
    "nov_dec_elec.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### This was an experiment, and reset_index fixes the multi-index problem in groupby df\n",
    "#### Plotting by 'kids sales' did not work as their were errors in data size mismatch, not sure why\n",
    "elec_nov = nov[nov['Category'].str.contains(elec_list)]\n",
    "elec_dec = dec[dec['Category'].str.contains(elec_list)]\n",
    "df = elec_nov.append(elec_dec)\n",
    "df2 = df.groupby(by=['Month','Tenant'])[['Lease_Sales']].sum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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++COuXr2qZNuIiEjHNA6FWrVqAQCaNWuGhIQEmJmZKdYoIiIqGxqfU3BxccHHH38Mb29v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\n4xf6gBBry8SxkgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116ed320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set(style=\"whitegrid\")\n",
    "g = sns.factorplot(x=\"Tenant\", y=\"Lease_Sales\", hue=\"Month\", data=nov_dec_elec,\n",
    "                   size=6, kind=\"bar\", palette=\"muted\", aspect=.8)\n",
    "g.despine(left=True)\n",
    "g.set_xticklabels(rotation=-90)\n",
    "g.set_ylabels(\"Lease_Sales\")\n",
    "plt.tight_layout()\n",
    "plt.savefig('Nov_Dec_Electronics', dpi=300, edgecolor='w',bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Family Apparel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "fam_list = 'Family Apparel'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Building</th>\n",
       "      <th>Month</th>\n",
       "      <th>Year</th>\n",
       "      <th>Category</th>\n",
       "      <th>Tenant</th>\n",
       "      <th>Cat_Sales</th>\n",
       "      <th>Lease_Sales</th>\n",
       "      <th>Cat_Groc</th>\n",
       "      <th>Lease_Groc</th>\n",
       "      <th>Cat_Sales_PSF</th>\n",
       "      <th>Lease_Sales_PSF</th>\n",
       "      <th>Cat_GLA</th>\n",
       "      <th>Lease_GLA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>AllSaints</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>780444.24</td>\n",
       "      <td>19.53</td>\n",
       "      <td>29.17</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>117.7140</td>\n",
       "      <td>159943</td>\n",
       "      <td>6630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>American Eagle Outfitters</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>576842.68</td>\n",
       "      <td>19.53</td>\n",
       "      <td>25.03</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>92.9042</td>\n",
       "      <td>159943</td>\n",
       "      <td>6209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Arc teryx</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>346039.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>25.74</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>123.4971</td>\n",
       "      <td>159943</td>\n",
       "      <td>2802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Armani Exchange A | X</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>187634.21</td>\n",
       "      <td>19.53</td>\n",
       "      <td>62.43</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>48.8376</td>\n",
       "      <td>159943</td>\n",
       "      <td>3842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Banana Republic</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>1347666.56</td>\n",
       "      <td>19.53</td>\n",
       "      <td>25.89</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>95.5182</td>\n",
       "      <td>159943</td>\n",
       "      <td>14109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Bench</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>128431.35</td>\n",
       "      <td>19.53</td>\n",
       "      <td>41.36</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>67.2415</td>\n",
       "      <td>159943</td>\n",
       "      <td>1910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Burberry</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>1819692.63</td>\n",
       "      <td>19.53</td>\n",
       "      <td>10.88</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>313.2540</td>\n",
       "      <td>159943</td>\n",
       "      <td>5809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Canada Goose</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>8671938.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>7.19</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>1920.2697</td>\n",
       "      <td>159943</td>\n",
       "      <td>4516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Cos</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>461653.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>21.18</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>66.8965</td>\n",
       "      <td>159943</td>\n",
       "      <td>6901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>246856.79</td>\n",
       "      <td>19.53</td>\n",
       "      <td>34.77</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>82.2855</td>\n",
       "      <td>159943</td>\n",
       "      <td>3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Gap</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>458432.14</td>\n",
       "      <td>19.53</td>\n",
       "      <td>43.95</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>54.9152</td>\n",
       "      <td>159943</td>\n",
       "      <td>8348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Guess</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>476823.03</td>\n",
       "      <td>19.53</td>\n",
       "      <td>42.39</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>54.9715</td>\n",
       "      <td>159943</td>\n",
       "      <td>8674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Hugo Boss</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>579715.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>23.55</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>124.2690</td>\n",
       "      <td>159943</td>\n",
       "      <td>4665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Hunter</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>94100.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>67.99</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>49.5523</td>\n",
       "      <td>159943</td>\n",
       "      <td>1899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Journeys</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>220347.96</td>\n",
       "      <td>19.53</td>\n",
       "      <td>32.69</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>87.6832</td>\n",
       "      <td>159943</td>\n",
       "      <td>2513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Lacoste</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>190364.78</td>\n",
       "      <td>19.53</td>\n",
       "      <td>51.01</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>57.0466</td>\n",
       "      <td>159943</td>\n",
       "      <td>3337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Le Chateau</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>235346.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>53.94</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>46.2460</td>\n",
       "      <td>159943</td>\n",
       "      <td>5089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Levis</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>272313.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>34.33</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>118.6549</td>\n",
       "      <td>159943</td>\n",
       "      <td>2295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Lucky Brand Jeans</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>156377.19</td>\n",
       "      <td>19.53</td>\n",
       "      <td>34.00</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>86.2057</td>\n",
       "      <td>159943</td>\n",
       "      <td>1814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Mackage</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>1611941.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>12.99</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>619.7389</td>\n",
       "      <td>159943</td>\n",
       "      <td>2601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Maje</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>372304.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>15.98</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>240.1961</td>\n",
       "      <td>159943</td>\n",
       "      <td>1550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Massimo Dutti</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>534239.49</td>\n",
       "      <td>19.53</td>\n",
       "      <td>28.40</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>86.9530</td>\n",
       "      <td>159943</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Moncler</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>2501070.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>7.42</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>990.1306</td>\n",
       "      <td>159943</td>\n",
       "      <td>2526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Moose Knuckles</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>998250.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>7.74</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>425.3302</td>\n",
       "      <td>159943</td>\n",
       "      <td>2347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>MUJI</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>583787.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>20.17</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>91.3737</td>\n",
       "      <td>159943</td>\n",
       "      <td>6389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>North Face, The</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>882819.41</td>\n",
       "      <td>19.53</td>\n",
       "      <td>39.99</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>146.8673</td>\n",
       "      <td>159943</td>\n",
       "      <td>6011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Oak + Fort</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>267819.52</td>\n",
       "      <td>19.53</td>\n",
       "      <td>23.07</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>131.3484</td>\n",
       "      <td>159943</td>\n",
       "      <td>2039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>OVO</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>787686.00</td>\n",
       "      <td>19.53</td>\n",
       "      <td>7.19</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>498.5354</td>\n",
       "      <td>159943</td>\n",
       "      <td>1580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Reiss</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>117448.74</td>\n",
       "      <td>19.53</td>\n",
       "      <td>75.85</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>35.6229</td>\n",
       "      <td>159943</td>\n",
       "      <td>3297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Roots</td>\n",
       "      <td>31582267.03</td>\n",
       "      <td>1065968.19</td>\n",
       "      <td>19.53</td>\n",
       "      <td>17.44</td>\n",
       "      <td>197.4595</td>\n",
       "      <td>210.7072</td>\n",
       "      <td>159943</td>\n",
       "      <td>5059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Guess</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>887442.29</td>\n",
       "      <td>19.05</td>\n",
       "      <td>42.47</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>102.3106</td>\n",
       "      <td>164419</td>\n",
       "      <td>8674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Hugo Boss</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>955277.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>22.58</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>204.7753</td>\n",
       "      <td>164419</td>\n",
       "      <td>4665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Hunter</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>239056.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>38.40</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>83.9087</td>\n",
       "      <td>164419</td>\n",
       "      <td>2849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Journeys</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>418847.92</td>\n",
       "      <td>19.05</td>\n",
       "      <td>28.95</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>166.6724</td>\n",
       "      <td>164419</td>\n",
       "      <td>2513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Lacoste</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>454806.59</td>\n",
       "      <td>19.05</td>\n",
       "      <td>49.04</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>136.2920</td>\n",
       "      <td>164419</td>\n",
       "      <td>3337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Le Chateau</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>358768.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>53.65</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>70.4987</td>\n",
       "      <td>164419</td>\n",
       "      <td>5089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Levis</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>379791.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>33.02</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>165.4862</td>\n",
       "      <td>164419</td>\n",
       "      <td>2295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Lucky Brand Jeans</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>179981.28</td>\n",
       "      <td>19.05</td>\n",
       "      <td>34.98</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>99.2179</td>\n",
       "      <td>164419</td>\n",
       "      <td>1814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Mackage</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>2066460.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>11.94</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>794.4867</td>\n",
       "      <td>164419</td>\n",
       "      <td>2601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Maje</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>343905.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>15.92</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>221.8741</td>\n",
       "      <td>164419</td>\n",
       "      <td>1550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Massimo Dutti</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>737403.35</td>\n",
       "      <td>19.05</td>\n",
       "      <td>28.49</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>120.0200</td>\n",
       "      <td>164419</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Moncler</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>2751151.75</td>\n",
       "      <td>19.05</td>\n",
       "      <td>7.43</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>1089.1337</td>\n",
       "      <td>164419</td>\n",
       "      <td>2526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Moose Knuckles</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>1642303.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>5.85</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>606.4634</td>\n",
       "      <td>164419</td>\n",
       "      <td>2708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Mr &amp; Mrs Italy</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>350344.13</td>\n",
       "      <td>19.05</td>\n",
       "      <td>7.03</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>447.4382</td>\n",
       "      <td>164419</td>\n",
       "      <td>783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>MUJI</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>867730.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>20.09</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>135.8162</td>\n",
       "      <td>164419</td>\n",
       "      <td>6389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>North Face, The</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>1079922.39</td>\n",
       "      <td>19.05</td>\n",
       "      <td>37.93</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>179.6576</td>\n",
       "      <td>164419</td>\n",
       "      <td>6011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Oak + Fort</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>322186.39</td>\n",
       "      <td>19.05</td>\n",
       "      <td>22.72</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>158.0119</td>\n",
       "      <td>164419</td>\n",
       "      <td>2039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>OVO</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>1155878.15</td>\n",
       "      <td>19.05</td>\n",
       "      <td>6.18</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>731.5684</td>\n",
       "      <td>164419</td>\n",
       "      <td>1580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Reiss</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>148630.80</td>\n",
       "      <td>19.05</td>\n",
       "      <td>80.10</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>45.0806</td>\n",
       "      <td>164419</td>\n",
       "      <td>3297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Roots</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>1437583.57</td>\n",
       "      <td>19.05</td>\n",
       "      <td>16.79</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>284.1635</td>\n",
       "      <td>164419</td>\n",
       "      <td>5059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>RW &amp; Co</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>436812.45</td>\n",
       "      <td>19.05</td>\n",
       "      <td>35.90</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>119.7402</td>\n",
       "      <td>164419</td>\n",
       "      <td>3648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Saint Laurent</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>1739494.14</td>\n",
       "      <td>19.05</td>\n",
       "      <td>8.69</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>583.7228</td>\n",
       "      <td>164419</td>\n",
       "      <td>2980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Salvatore Ferragamo</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>1263088.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>14.85</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>335.0366</td>\n",
       "      <td>164419</td>\n",
       "      <td>3770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Sandro</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>512734.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>17.98</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>256.6236</td>\n",
       "      <td>164419</td>\n",
       "      <td>1998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Ted Baker</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>897610.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>14.04</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>278.1561</td>\n",
       "      <td>164419</td>\n",
       "      <td>3227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Tristan</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>272697.92</td>\n",
       "      <td>19.05</td>\n",
       "      <td>52.99</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>74.2843</td>\n",
       "      <td>164419</td>\n",
       "      <td>3671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>True Religion</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>278129.23</td>\n",
       "      <td>19.05</td>\n",
       "      <td>27.43</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>195.7278</td>\n",
       "      <td>164419</td>\n",
       "      <td>1421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Versace</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>829146.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>13.25</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>294.0234</td>\n",
       "      <td>164419</td>\n",
       "      <td>2820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Woolcan Inc.</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>295258.00</td>\n",
       "      <td>19.05</td>\n",
       "      <td>45.18</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>102.4489</td>\n",
       "      <td>164419</td>\n",
       "      <td>2882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>Yorkdale Shopping Centre</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "      <td>Family Apparel</td>\n",
       "      <td>Zadig and Voltaire</td>\n",
       "      <td>44062518.24</td>\n",
       "      <td>158115.99</td>\n",
       "      <td>19.05</td>\n",
       "      <td>22.08</td>\n",
       "      <td>267.9892</td>\n",
       "      <td>78.9395</td>\n",
       "      <td>164419</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>81 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Building  Month  Year  \\\n",
       "18   Yorkdale Shopping Centre           11  2017   \n",
       "19   Yorkdale Shopping Centre           11  2017   \n",
       "20   Yorkdale Shopping Centre           11  2017   \n",
       "21   Yorkdale Shopping Centre           11  2017   \n",
       "22   Yorkdale Shopping Centre           11  2017   \n",
       "23   Yorkdale Shopping Centre           11  2017   \n",
       "24   Yorkdale Shopping Centre           11  2017   \n",
       "25   Yorkdale Shopping Centre           11  2017   \n",
       "26   Yorkdale Shopping Centre           11  2017   \n",
       "27   Yorkdale Shopping Centre           11  2017   \n",
       "28   Yorkdale Shopping Centre           11  2017   \n",
       "29   Yorkdale Shopping Centre           11  2017   \n",
       "30   Yorkdale Shopping Centre           11  2017   \n",
       "31   Yorkdale Shopping Centre           11  2017   \n",
       "32   Yorkdale Shopping Centre           11  2017   \n",
       "33   Yorkdale Shopping Centre           11  2017   \n",
       "34   Yorkdale Shopping Centre           11  2017   \n",
       "35   Yorkdale Shopping Centre           11  2017   \n",
       "36   Yorkdale Shopping Centre           11  2017   \n",
       "37   Yorkdale Shopping Centre           11  2017   \n",
       "38   Yorkdale Shopping Centre           11  2017   \n",
       "39   Yorkdale Shopping Centre           11  2017   \n",
       "40   Yorkdale Shopping Centre           11  2017   \n",
       "41   Yorkdale Shopping Centre           11  2017   \n",
       "42   Yorkdale Shopping Centre           11  2017   \n",
       "43   Yorkdale Shopping Centre           11  2017   \n",
       "44   Yorkdale Shopping Centre           11  2017   \n",
       "45   Yorkdale Shopping Centre           11  2017   \n",
       "46   Yorkdale Shopping Centre           11  2017   \n",
       "47   Yorkdale Shopping Centre           11  2017   \n",
       "..                              ...    ...   ...   \n",
       "267  Yorkdale Shopping Centre           12  2017   \n",
       "268  Yorkdale Shopping Centre           12  2017   \n",
       "269  Yorkdale Shopping Centre           12  2017   \n",
       "270  Yorkdale Shopping Centre           12  2017   \n",
       "271  Yorkdale Shopping Centre           12  2017   \n",
       "272  Yorkdale Shopping Centre           12  2017   \n",
       "273  Yorkdale Shopping Centre           12  2017   \n",
       "274  Yorkdale Shopping Centre           12  2017   \n",
       "275  Yorkdale Shopping Centre           12  2017   \n",
       "276  Yorkdale Shopping Centre           12  2017   \n",
       "277  Yorkdale Shopping Centre           12  2017   \n",
       "278  Yorkdale Shopping Centre           12  2017   \n",
       "279  Yorkdale Shopping Centre           12  2017   \n",
       "280  Yorkdale Shopping Centre           12  2017   \n",
       "281  Yorkdale Shopping Centre           12  2017   \n",
       "282  Yorkdale Shopping Centre           12  2017   \n",
       "283  Yorkdale Shopping Centre           12  2017   \n",
       "284  Yorkdale Shopping Centre           12  2017   \n",
       "285  Yorkdale Shopping Centre           12  2017   \n",
       "286  Yorkdale Shopping Centre           12  2017   \n",
       "287  Yorkdale Shopping Centre           12  2017   \n",
       "288  Yorkdale Shopping Centre           12  2017   \n",
       "289  Yorkdale Shopping Centre           12  2017   \n",
       "290  Yorkdale Shopping Centre           12  2017   \n",
       "291  Yorkdale Shopping Centre           12  2017   \n",
       "292  Yorkdale Shopping Centre           12  2017   \n",
       "293  Yorkdale Shopping Centre           12  2017   \n",
       "294  Yorkdale Shopping Centre           12  2017   \n",
       "295  Yorkdale Shopping Centre           12  2017   \n",
       "296  Yorkdale Shopping Centre           12  2017   \n",
       "\n",
       "                           Category                          Tenant  \\\n",
       "18   Family Apparel                  AllSaints                        \n",
       "19   Family Apparel                  American Eagle Outfitters        \n",
       "20   Family Apparel                  Arc teryx                        \n",
       "21   Family Apparel                  Armani Exchange A | X            \n",
       "22   Family Apparel                  Banana Republic                  \n",
       "23   Family Apparel                  Bench                            \n",
       "24   Family Apparel                  Burberry                         \n",
       "25   Family Apparel                  Canada Goose                     \n",
       "26   Family Apparel                  Cos                              \n",
       "27   Family Apparel                  Diesel                           \n",
       "28   Family Apparel                  Gap                              \n",
       "29   Family Apparel                  Guess                            \n",
       "30   Family Apparel                  Hugo Boss                        \n",
       "31   Family Apparel                  Hunter                           \n",
       "32   Family Apparel                  Journeys                         \n",
       "33   Family Apparel                  Lacoste                          \n",
       "34   Family Apparel                  Le Chateau                       \n",
       "35   Family Apparel                  Levis                            \n",
       "36   Family Apparel                  Lucky Brand Jeans                \n",
       "37   Family Apparel                  Mackage                          \n",
       "38   Family Apparel                  Maje                             \n",
       "39   Family Apparel                  Massimo Dutti                    \n",
       "40   Family Apparel                  Moncler                          \n",
       "41   Family Apparel                  Moose Knuckles                   \n",
       "42   Family Apparel                  MUJI                             \n",
       "43   Family Apparel                  North Face, The                  \n",
       "44   Family Apparel                  Oak + Fort                       \n",
       "45   Family Apparel                  OVO                              \n",
       "46   Family Apparel                  Reiss                            \n",
       "47   Family Apparel                  Roots                            \n",
       "..                              ...                             ...   \n",
       "267  Family Apparel                  Guess                            \n",
       "268  Family Apparel                  Hugo Boss                        \n",
       "269  Family Apparel                  Hunter                           \n",
       "270  Family Apparel                  Journeys                         \n",
       "271  Family Apparel                  Lacoste                          \n",
       "272  Family Apparel                  Le Chateau                       \n",
       "273  Family Apparel                  Levis                            \n",
       "274  Family Apparel                  Lucky Brand Jeans                \n",
       "275  Family Apparel                  Mackage                          \n",
       "276  Family Apparel                  Maje                             \n",
       "277  Family Apparel                  Massimo Dutti                    \n",
       "278  Family Apparel                  Moncler                          \n",
       "279  Family Apparel                  Moose Knuckles                   \n",
       "280  Family Apparel                  Mr & Mrs Italy                   \n",
       "281  Family Apparel                  MUJI                             \n",
       "282  Family Apparel                  North Face, The                  \n",
       "283  Family Apparel                  Oak + Fort                       \n",
       "284  Family Apparel                  OVO                              \n",
       "285  Family Apparel                  Reiss                            \n",
       "286  Family Apparel                  Roots                            \n",
       "287  Family Apparel                  RW & Co                          \n",
       "288  Family Apparel                  Saint Laurent                    \n",
       "289  Family Apparel                  Salvatore Ferragamo              \n",
       "290  Family Apparel                  Sandro                           \n",
       "291  Family Apparel                  Ted Baker                        \n",
       "292  Family Apparel                  Tristan                          \n",
       "293  Family Apparel                  True Religion                    \n",
       "294  Family Apparel                  Versace                          \n",
       "295  Family Apparel                  Woolcan Inc.                     \n",
       "296  Family Apparel                  Zadig and Voltaire               \n",
       "\n",
       "       Cat_Sales  Lease_Sales  Cat_Groc  Lease_Groc  Cat_Sales_PSF  \\\n",
       "18   31582267.03    780444.24     19.53       29.17       197.4595   \n",
       "19   31582267.03    576842.68     19.53       25.03       197.4595   \n",
       "20   31582267.03    346039.00     19.53       25.74       197.4595   \n",
       "21   31582267.03    187634.21     19.53       62.43       197.4595   \n",
       "22   31582267.03   1347666.56     19.53       25.89       197.4595   \n",
       "23   31582267.03    128431.35     19.53       41.36       197.4595   \n",
       "24   31582267.03   1819692.63     19.53       10.88       197.4595   \n",
       "25   31582267.03   8671938.00     19.53        7.19       197.4595   \n",
       "26   31582267.03    461653.00     19.53       21.18       197.4595   \n",
       "27   31582267.03    246856.79     19.53       34.77       197.4595   \n",
       "28   31582267.03    458432.14     19.53       43.95       197.4595   \n",
       "29   31582267.03    476823.03     19.53       42.39       197.4595   \n",
       "30   31582267.03    579715.00     19.53       23.55       197.4595   \n",
       "31   31582267.03     94100.00     19.53       67.99       197.4595   \n",
       "32   31582267.03    220347.96     19.53       32.69       197.4595   \n",
       "33   31582267.03    190364.78     19.53       51.01       197.4595   \n",
       "34   31582267.03    235346.00     19.53       53.94       197.4595   \n",
       "35   31582267.03    272313.00     19.53       34.33       197.4595   \n",
       "36   31582267.03    156377.19     19.53       34.00       197.4595   \n",
       "37   31582267.03   1611941.00     19.53       12.99       197.4595   \n",
       "38   31582267.03    372304.00     19.53       15.98       197.4595   \n",
       "39   31582267.03    534239.49     19.53       28.40       197.4595   \n",
       "40   31582267.03   2501070.00     19.53        7.42       197.4595   \n",
       "41   31582267.03    998250.00     19.53        7.74       197.4595   \n",
       "42   31582267.03    583787.00     19.53       20.17       197.4595   \n",
       "43   31582267.03    882819.41     19.53       39.99       197.4595   \n",
       "44   31582267.03    267819.52     19.53       23.07       197.4595   \n",
       "45   31582267.03    787686.00     19.53        7.19       197.4595   \n",
       "46   31582267.03    117448.74     19.53       75.85       197.4595   \n",
       "47   31582267.03   1065968.19     19.53       17.44       197.4595   \n",
       "..           ...          ...       ...         ...            ...   \n",
       "267  44062518.24    887442.29     19.05       42.47       267.9892   \n",
       "268  44062518.24    955277.00     19.05       22.58       267.9892   \n",
       "269  44062518.24    239056.00     19.05       38.40       267.9892   \n",
       "270  44062518.24    418847.92     19.05       28.95       267.9892   \n",
       "271  44062518.24    454806.59     19.05       49.04       267.9892   \n",
       "272  44062518.24    358768.00     19.05       53.65       267.9892   \n",
       "273  44062518.24    379791.00     19.05       33.02       267.9892   \n",
       "274  44062518.24    179981.28     19.05       34.98       267.9892   \n",
       "275  44062518.24   2066460.00     19.05       11.94       267.9892   \n",
       "276  44062518.24    343905.00     19.05       15.92       267.9892   \n",
       "277  44062518.24    737403.35     19.05       28.49       267.9892   \n",
       "278  44062518.24   2751151.75     19.05        7.43       267.9892   \n",
       "279  44062518.24   1642303.00     19.05        5.85       267.9892   \n",
       "280  44062518.24    350344.13     19.05        7.03       267.9892   \n",
       "281  44062518.24    867730.00     19.05       20.09       267.9892   \n",
       "282  44062518.24   1079922.39     19.05       37.93       267.9892   \n",
       "283  44062518.24    322186.39     19.05       22.72       267.9892   \n",
       "284  44062518.24   1155878.15     19.05        6.18       267.9892   \n",
       "285  44062518.24    148630.80     19.05       80.10       267.9892   \n",
       "286  44062518.24   1437583.57     19.05       16.79       267.9892   \n",
       "287  44062518.24    436812.45     19.05       35.90       267.9892   \n",
       "288  44062518.24   1739494.14     19.05        8.69       267.9892   \n",
       "289  44062518.24   1263088.00     19.05       14.85       267.9892   \n",
       "290  44062518.24    512734.00     19.05       17.98       267.9892   \n",
       "291  44062518.24    897610.00     19.05       14.04       267.9892   \n",
       "292  44062518.24    272697.92     19.05       52.99       267.9892   \n",
       "293  44062518.24    278129.23     19.05       27.43       267.9892   \n",
       "294  44062518.24    829146.00     19.05       13.25       267.9892   \n",
       "295  44062518.24    295258.00     19.05       45.18       267.9892   \n",
       "296  44062518.24    158115.99     19.05       22.08       267.9892   \n",
       "\n",
       "     Lease_Sales_PSF  Cat_GLA  Lease_GLA  \n",
       "18          117.7140   159943       6630  \n",
       "19           92.9042   159943       6209  \n",
       "20          123.4971   159943       2802  \n",
       "21           48.8376   159943       3842  \n",
       "22           95.5182   159943      14109  \n",
       "23           67.2415   159943       1910  \n",
       "24          313.2540   159943       5809  \n",
       "25         1920.2697   159943       4516  \n",
       "26           66.8965   159943       6901  \n",
       "27           82.2855   159943       3000  \n",
       "28           54.9152   159943       8348  \n",
       "29           54.9715   159943       8674  \n",
       "30          124.2690   159943       4665  \n",
       "31           49.5523   159943       1899  \n",
       "32           87.6832   159943       2513  \n",
       "33           57.0466   159943       3337  \n",
       "34           46.2460   159943       5089  \n",
       "35          118.6549   159943       2295  \n",
       "36           86.2057   159943       1814  \n",
       "37          619.7389   159943       2601  \n",
       "38          240.1961   159943       1550  \n",
       "39           86.9530   159943       6144  \n",
       "40          990.1306   159943       2526  \n",
       "41          425.3302   159943       2347  \n",
       "42           91.3737   159943       6389  \n",
       "43          146.8673   159943       6011  \n",
       "44          131.3484   159943       2039  \n",
       "45          498.5354   159943       1580  \n",
       "46           35.6229   159943       3297  \n",
       "47          210.7072   159943       5059  \n",
       "..               ...      ...        ...  \n",
       "267         102.3106   164419       8674  \n",
       "268         204.7753   164419       4665  \n",
       "269          83.9087   164419       2849  \n",
       "270         166.6724   164419       2513  \n",
       "271         136.2920   164419       3337  \n",
       "272          70.4987   164419       5089  \n",
       "273         165.4862   164419       2295  \n",
       "274          99.2179   164419       1814  \n",
       "275         794.4867   164419       2601  \n",
       "276         221.8741   164419       1550  \n",
       "277         120.0200   164419       6144  \n",
       "278        1089.1337   164419       2526  \n",
       "279         606.4634   164419       2708  \n",
       "280         447.4382   164419        783  \n",
       "281         135.8162   164419       6389  \n",
       "282         179.6576   164419       6011  \n",
       "283         158.0119   164419       2039  \n",
       "284         731.5684   164419       1580  \n",
       "285          45.0806   164419       3297  \n",
       "286         284.1635   164419       5059  \n",
       "287         119.7402   164419       3648  \n",
       "288         583.7228   164419       2980  \n",
       "289         335.0366   164419       3770  \n",
       "290         256.6236   164419       1998  \n",
       "291         278.1561   164419       3227  \n",
       "292          74.2843   164419       3671  \n",
       "293         195.7278   164419       1421  \n",
       "294         294.0234   164419       2820  \n",
       "295         102.4489   164419       2882  \n",
       "296          78.9395   164419       2003  \n",
       "\n",
       "[81 rows x 13 columns]"
      ]
     },
     "execution_count": 300,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nov_dec_fam = sheet1[sheet1['Category'].str.contains(fam_list)]\n",
    "nov_dec_fam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month</th>\n",
       "      <th>Tenant</th>\n",
       "      <th>Lease_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11</td>\n",
       "      <td>A &amp; W</td>\n",
       "      <td>193734.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11</td>\n",
       "      <td>Aldo</td>\n",
       "      <td>628042.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11</td>\n",
       "      <td>Aldo Accessories</td>\n",
       "      <td>129977.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11</td>\n",
       "      <td>Alex and Ani</td>\n",
       "      <td>117753.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11</td>\n",
       "      <td>AllSaints</td>\n",
       "      <td>780444.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>11</td>\n",
       "      <td>Amaya</td>\n",
       "      <td>119000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>11</td>\n",
       "      <td>American Eagle Outfitters</td>\n",
       "      <td>576842.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>11</td>\n",
       "      <td>Ann Taylor</td>\n",
       "      <td>287768.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>11</td>\n",
       "      <td>Anthropologie</td>\n",
       "      <td>425270.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>11</td>\n",
       "      <td>Apple</td>\n",
       "      <td>11782680.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>Arc teryx</td>\n",
       "      <td>346039.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>Aritzia</td>\n",
       "      <td>2289103.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>11</td>\n",
       "      <td>Armani Exchange A | X</td>\n",
       "      <td>187634.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>11</td>\n",
       "      <td>Aveda</td>\n",
       "      <td>154981.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>11</td>\n",
       "      <td>B2</td>\n",
       "      <td>415705.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>11</td>\n",
       "      <td>Babaton</td>\n",
       "      <td>528943.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>11</td>\n",
       "      <td>Banana Republic</td>\n",
       "      <td>1347666.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>11</td>\n",
       "      <td>Bath &amp; Body Works</td>\n",
       "      <td>440407.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>11</td>\n",
       "      <td>Bell Mobility</td>\n",
       "      <td>327854.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>11</td>\n",
       "      <td>Bench</td>\n",
       "      <td>128431.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>11</td>\n",
       "      <td>Best Buy Mobile</td>\n",
       "      <td>435730.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>11</td>\n",
       "      <td>Big Smoke Burger</td>\n",
       "      <td>117000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>11</td>\n",
       "      <td>Bikini Village</td>\n",
       "      <td>92061.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>11</td>\n",
       "      <td>Birks</td>\n",
       "      <td>619565.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>11</td>\n",
       "      <td>Bitter Sweet</td>\n",
       "      <td>61552.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>11</td>\n",
       "      <td>Body Shop, The</td>\n",
       "      <td>194172.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>11</td>\n",
       "      <td>Booster Juice</td>\n",
       "      <td>80308.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>11</td>\n",
       "      <td>Bose</td>\n",
       "      <td>178446.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>11</td>\n",
       "      <td>Brandy Melville</td>\n",
       "      <td>227102.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>11</td>\n",
       "      <td>Browns Shoes</td>\n",
       "      <td>864110.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>12</td>\n",
       "      <td>Town Shoes</td>\n",
       "      <td>331137.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>12</td>\n",
       "      <td>Tristan</td>\n",
       "      <td>272697.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>12</td>\n",
       "      <td>True Religion</td>\n",
       "      <td>278129.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>12</td>\n",
       "      <td>Tumi</td>\n",
       "      <td>351884.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>12</td>\n",
       "      <td>UGG</td>\n",
       "      <td>895000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>12</td>\n",
       "      <td>Uncle Tetsu</td>\n",
       "      <td>233935.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>12</td>\n",
       "      <td>Uniqlo</td>\n",
       "      <td>4387986.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>12</td>\n",
       "      <td>Urbanology</td>\n",
       "      <td>99453.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>12</td>\n",
       "      <td>Van Cleef &amp; Arpels</td>\n",
       "      <td>1650301.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>12</td>\n",
       "      <td>Versace</td>\n",
       "      <td>829146.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>12</td>\n",
       "      <td>Victorias Secret</td>\n",
       "      <td>1594019.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>12</td>\n",
       "      <td>Villa Madina</td>\n",
       "      <td>169492.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>12</td>\n",
       "      <td>Village Juicery</td>\n",
       "      <td>57078.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>12</td>\n",
       "      <td>Virgin Mobile</td>\n",
       "      <td>26761.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>12</td>\n",
       "      <td>Vitaly</td>\n",
       "      <td>144136.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>12</td>\n",
       "      <td>Walk &amp; Wear Fine Shoe Repair</td>\n",
       "      <td>25507.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>12</td>\n",
       "      <td>Warby Parker</td>\n",
       "      <td>196691.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>12</td>\n",
       "      <td>White House Black Market</td>\n",
       "      <td>234109.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>12</td>\n",
       "      <td>Wilfred</td>\n",
       "      <td>634552.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>12</td>\n",
       "      <td>Williams Sonoma</td>\n",
       "      <td>1008598.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>12</td>\n",
       "      <td>WirelessWave</td>\n",
       "      <td>418824.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>12</td>\n",
       "      <td>Wolford</td>\n",
       "      <td>77000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>12</td>\n",
       "      <td>Woolcan Inc.</td>\n",
       "      <td>295258.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>12</td>\n",
       "      <td>Yogen Fruz</td>\n",
       "      <td>75496.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>12</td>\n",
       "      <td>Zadig and Voltaire</td>\n",
       "      <td>158115.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>12</td>\n",
       "      <td>Zara</td>\n",
       "      <td>3192124.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>12</td>\n",
       "      <td>Zara Home</td>\n",
       "      <td>245834.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>12</td>\n",
       "      <td>Zvelle</td>\n",
       "      <td>17270.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>12</td>\n",
       "      <td>espressamente illy</td>\n",
       "      <td>170000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>12</td>\n",
       "      <td>iTech Accessories</td>\n",
       "      <td>43735.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>481 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Month                          Tenant  Lease_Sales\n",
       "0       11  A & W                             193734.83\n",
       "1       11  Aldo                              628042.67\n",
       "2       11  Aldo Accessories                  129977.34\n",
       "3       11  Alex and Ani                      117753.02\n",
       "4       11  AllSaints                         780444.24\n",
       "5       11  Amaya                             119000.00\n",
       "6       11  American Eagle Outfitters         576842.68\n",
       "7       11  Ann Taylor                        287768.39\n",
       "8       11  Anthropologie                     425270.30\n",
       "9       11  Apple                           11782680.00\n",
       "10      11  Arc teryx                         346039.00\n",
       "11      11  Aritzia                          2289103.07\n",
       "12      11  Armani Exchange A | X             187634.21\n",
       "13      11  Aveda                             154981.00\n",
       "14      11  B2                                415705.21\n",
       "15      11  Babaton                           528943.85\n",
       "16      11  Banana Republic                  1347666.56\n",
       "17      11  Bath & Body Works                 440407.00\n",
       "18      11  Bell Mobility                     327854.75\n",
       "19      11  Bench                             128431.35\n",
       "20      11  Best Buy Mobile                   435730.62\n",
       "21      11  Big Smoke Burger                  117000.00\n",
       "22      11  Bikini Village                     92061.91\n",
       "23      11  Birks                             619565.00\n",
       "24      11  Bitter Sweet                       61552.81\n",
       "25      11  Body Shop, The                    194172.00\n",
       "26      11  Booster Juice                      80308.36\n",
       "27      11  Bose                              178446.12\n",
       "28      11  Brandy Melville                   227102.75\n",
       "29      11  Browns Shoes                      864110.93\n",
       "..     ...                             ...          ...\n",
       "451     12  Town Shoes                        331137.94\n",
       "452     12  Tristan                           272697.92\n",
       "453     12  True Religion                     278129.23\n",
       "454     12  Tumi                              351884.30\n",
       "455     12  UGG                               895000.00\n",
       "456     12  Uncle Tetsu                       233935.37\n",
       "457     12  Uniqlo                           4387986.86\n",
       "458     12  Urbanology                         99453.01\n",
       "459     12  Van Cleef & Arpels               1650301.01\n",
       "460     12  Versace                           829146.00\n",
       "461     12  Victorias Secret                 1594019.00\n",
       "462     12  Villa Madina                      169492.70\n",
       "463     12  Village Juicery                    57078.21\n",
       "464     12  Virgin Mobile                      26761.01\n",
       "465     12  Vitaly                            144136.40\n",
       "466     12  Walk & Wear Fine Shoe Repair       25507.36\n",
       "467     12  Warby Parker                      196691.00\n",
       "468     12  White House Black Market          234109.34\n",
       "469     12  Wilfred                           634552.06\n",
       "470     12  Williams Sonoma                  1008598.26\n",
       "471     12  WirelessWave                      418824.54\n",
       "472     12  Wolford                            77000.00\n",
       "473     12  Woolcan Inc.                      295258.00\n",
       "474     12  Yogen Fruz                         75496.20\n",
       "475     12  Zadig and Voltaire                158115.99\n",
       "476     12  Zara                             3192124.18\n",
       "477     12  Zara Home                         245834.13\n",
       "478     12  Zvelle                             17270.00\n",
       "479     12  espressamente illy                170000.00\n",
       "480     12  iTech Accessories                  43735.00\n",
       "\n",
       "[481 rows x 3 columns]"
      ]
     },
     "execution_count": 333,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testdf = sheet1.groupby(['Month','Tenant'])[['Lease_Sales']].sum().reset_index()\n",
    "testdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {},
   "outputs": [],
   "source": [
    "testdf.set_index('Lease_Sales', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "testdf.sort_index(ascending=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "newone= testdf.reset_index()\n",
    "newone2 = newone[350:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "metadata": {},
   "outputs": [
    {
     "data": {
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OTk7WlClTVKdOHQUGBurcuXN2n2/evFn+/v5q1KiRVq5c6a4wAAAAAACZ4LZk\nccOGDQoNDdWyZctUsGBBBQcH2z5LSEjQhAkT1LVrV40ZM0ZTp05VZGSku0IBAAAAAFjktmTxl19+\nUdmyZVWtWjU1atRIBw4csH125swZ3bx5UwEBAWrZsqUSExN15MgRd4UCAAAAALDIwzAMwx0VT5w4\nUadOndKXX36pTz75RNOnT9exY8ckSfv379dzzz2n9evXq3jx4qpVq5beeustderUyWV9YWFh7ggT\nAAAAAP726tSpY/lv3DbBTf78+RUbGytJio2Nlbe3t91nKe/HxMRIkt3nzmRm4QAAAAAAmeO2Yag1\na9bU+fPn9euvv2rXrl3y8/NTVFSUYmJiVL58eXl7e2vLli3atGmTcuXKpRo1argrFAAAAACARW67\ns9i2bVvt3btXffr0UZkyZTRnzhwNHTpUTzzxhEJCQhQcHKw33nhDsbGxmjJlip544gl3hQIAAAAA\nsMhtzywCAAAAALIvtw1DBQAAAABkXySLAAAAAAAHJIsAAAAAAAckiwAAAAAAB26bDdXd9u/fr7lz\n5+r111/XU089lW7ZvXv3uvysfv36Du+FhoaqSpUq8vHx0aFDh3Tnzh01adLEoVxMTIy2bNmiiIgI\nFStWTK1atZKXl5fT7zFbp5VY3VHW6rq6e/eutm7dqitXrqhEiRIKCAhQnjx5XNaRWkxMjAYPHqwV\nK1a4PdasLpvV3y9JgYGB6t69u/71r38pX758Lv9Okq5cuaJ169YpIiJChQsXVmBgoIoXL+5Qzl2x\nSubbltl9K63IyEitW7dOa9eu1dq1azNdNju1F8lav3Xr1i399ttviouLU+q50O6nzzC7vay0V7PH\nA3e1waxuA6ldvXpVe/fu1b59+7R37159//33DmXcsX+HhoY6LWcYhgIDAzNVZ2bXgfTg9ll3HLvN\nrqsUD7ovdNc++1fo39yxz2ZlPyBZ6wslc9vrfvYt6f7P3ySpRYsWatKkiV555RV5enpKkuLj4/X+\n++9r5MiRdmXNHItSZPX5dlqu1pVkvm1ZaQP3u22dybazobZt21Zly5bVpEmTVKpUqXTLVq5cWYZh\nyMPDw+59wzB0/Phxu/dCQkL04Ycfav78+bpx44amTJkiwzA0cOBABQUF2cpdunRJffv21aVLl2zv\nFStWTMuXL1fJkiUzVWdKrKnjSy1trKmXK/XyOVsus/VaWVdnzpzRoEGD9Mcff9itgyVLlqhMmTLK\nyN27d1W3bt0HEquZ5U9bxlmdVr7fWb2p/+5+Y01hdrkyqnfkyJHasWOHcuTIoQ4dOqh79+6qXr26\n0goPD1f//v0VGxurAgUK6ObqBLB6AAAgAElEQVTNm8qTJ48WL17s8Huomd0GGZU127as7FuSFBsb\nqw0bNmjt2rXavXu3JKlBgwZavHhxpsu6Yx3cTxtMr21b6bd+/PFH/fe//1VcXJxd+76ftm1le5lt\nr5L544E72qDVet3RBtasWWNLECMiIiRJZcuWVa1atTRjxgy7su7cv515EH2hmeORZG2fTV1Xaqnr\ntXrsNrtcVapUcfheV2Xd0Re6a5915/HQHfts6vhSS11vVvcDkrW+0Oz2stK/OJPe+ZuVdZAzZ05V\nqlRJb7/9tkqWLOm0XrPHIivLn5lYzR5nza4rK23LShuwslymGdlUzZo1jd9//91UWV9fX2PHjh3G\n2bNnHf6l1bRpU2PDhg2GYRjGM888Y/Tv39/46aefjICAALtyo0aNMnr37m2cOHHCiIuLM86fP28M\nGDDAGDZsWKbrNAzDFteePXuMBQsWGH379jVq1qxpVK5c2elyHT582NizZ49Rp04d4+zZs8bRo0cN\nHx+fTNdrZV0NGjTIePHFF40LFy4YCQkJRkREhDFq1Chj8ODBDmXHjx/v8G/s2LH3FWtKud27d5te\n/rNnzxrffvut0bRpU6NatWrG3Llz73sbmFlfqes0G2twcLBRuXJlY8mSJS63gZU2YBiGcfLkSaNq\n1apGr169DF9fX6NLly7Gp59+aldmwIABxqhRo4w7d+4YhmEY0dHRxtixY41evXqlu66stMGMyppt\nW1b2rfHjxxu1a9c2fHx8jB49ehjLly83rl275nQ9WSlrZbnMbi8rbdBK27bSb7Vs2dJ49dVXjVOn\nTqXbtq20QSvbyzDMtVfDMH88cLatHkT/ZqVed7QBX19fw8fHx2jfvr2xdu1a4/r16y7XgZX928q2\njYuLc/gXFRVlHDhwwOlymem3rRyPMrvPprduM3vszsy6SvmXljv6Qnftsyn1pt5OGbXtzBw3HvQ+\nm14byEydZtv2gz52G4b57WWlf8nM+ZvZdbBr1y4jICDAqF+/vrFt2zbjzp07hq+vr105s8ciK8uf\ndh1k1LbMHmetrCsrbcswzLcBK8tlVrYdhlq3bl317NlTpUuXdriK5exWb6lSpVS6dOkM671x44Zq\n1aqlK1eu6LffftPAgQNVqVIl3bhxw67czz//rBUrVqhSpUqSpDJlyuiVV15R9+7dM12nJH300Ufa\nt2+ffvvtN5UpU0YNGzZUr1691KBBA6fxli1bVrdv35YklStXTnfv3nVazkq9ZtfVoUOHtHbtWpUo\nUUKSVKJECU2YMEGdOnVyKHvu3DmH95KSku4r1nLlykmStmzZYnvtavnLlSunmJgYvf3221qxYoVq\n1qypJUuWOB2yZnUbmFlfKbHmzZtXiYmJKleunG7cuKEcORwfG04p265dO61evVqzZ89WkSJF1L59\ne6d1m20DkpQrVy7lyJFDn376qXbt2qVx48Zp6tSp6tWrl61MeHi4Vq1apfz580uSvLy8NGbMGHXo\n0MFlrLlz55aHh0eG28BsWbNty8q+tWbNGuXIkUODBw/WoEGDVKBAAZfryUpZK9tWMre9rLRBK23b\nSr915coVDRkyRMWKFXO57FaWSbK2vSRz7VUyfzxw1gZdsdK/WalXure+7ty5k+5+YKUNjB8/Xjt2\n7ND+/fs1YcIEVa9eXY0bN1ajRo1Up04du7JW9u+UWM1sW09PT8XHx+vw4cPat2+f9u3bpwMHDigm\nJsbuaraVflsyfzyyss+aXbdW2quVfuDVV191eC/tHeAU7ugLJffssx4eHipdurQee+wx23vXr193\nWAeZOR4+6H3WbBvITD9gtm0/6GO3ZH57WelfrJy/WV0H1apV01dffaUxY8Zo6NCh6t+/v8OdTivH\noszss2baltnjrJV1ZaVtSebbgNXjkRnZNlmcPXu2li9frosXLyo5OfmB1Vu6dGl98MEHioqKkiQ1\nbtxYEydOtJ1cpYiNjZV07/mQPn36aMOGDfL09HQ6tMRsnZK0fv16xcTE6KmnntKzzz6rhg0bqkaN\nGsqZM6dD2Zw5c+ratWu6ceOGoqKidPjwYd2+fdvp80dW6jXLy8tLv/76q62hS9LZs2dtY89T+/zz\nzx3eS7k1n9lYY2Nj9eabbyo0NFQeHh6KjIxUZGSk0/HeW7du1bRp0xQVFaVXX31V3bp1c7lc7lhX\nKR577DElJibq/fff1x9//CFvb2+HMjdv3tScOXO0atUqVapUSTVq1NBLL72ku3fvOpzUW2kDKZKT\nkzV06FDt2LFDBQoU0LBhw+w+z507t27evGl3gnb79u10T74k2Z2kpz1ht1rWbNuysm8tXrxYoaGh\nWrFihRYvXqyGDRuqbdu2atOmjR599NFMl01hZtua3V5W2qCVtm2l3ypQoIB27dqlTp06KVcu14cK\nK23QyvZKkVF7ldxzPLDSv1nhbF07Y6UN9O/fX/3791dCQoLCwsK0fv16vfvuu1q0aJHDsCMr+7eV\nbduvXz8dOnRIcXFxKlSokGrWrKlhw4bJz8/PrpyVftsKK/us2XWbmfZqph9IOaFMSkrS2bNn5ePj\n47I+d/SF7tpnCxcurK1bt9qd7H799dcqVKiQ02Uzs66ssLLPmm0DVuq00rbdceyWzG8vK/2LlfM3\nK+sgpS8sUKCAFi9erNmzZzt9JMTsscjK8ltl9jhrZV1l5hhjpg24RabvSf4FpAyjyUjfvn2NK1eu\nmCq7efNmo1atWoavr68REhJiJCcnG506dTKOHj1qV65Lly7GqFGjjK+//tqoW7euER8fbwwaNMjo\n06dPpus0DMNITEw0Dhw4YLz33nvGCy+8YPj5+Rm1a9c2XnjhBYeyPXr0MJo0aWI0bNjQ6NOnj20o\nUlBQUKbrtbKu5s6da1StWtX45ptvDMMwjIiICKNWrVrG66+/burvnQ03sBJru3btjCpVqhhffPGF\nMXjwYKNGjRpG1apVnW4DX19fw9fX12jQoIEREBBg9y+z328Y1tZXiuDgYFs8CxcudPi8QYMGRtWq\nVY23337bSEhIMAzj3rp2NozBSht48803jWbNmhm+vr5Gv379jO+++85ITEx0KDd+/HijQ4cOxqZN\nm4wzZ84Y27dvNzp27GhMnDjR5TIlJiYaERERhmEYRmxsrDF+/HiXZZOSkjIsa7Ztpd635s6dm+6+\nlSI6OtpYs2aNMWDAAKNKlSpG1apVH0hZw7DftgsWLHD43Oz2stIGrbRtK/3W4sWLbfGl/ZeZZTIM\na32h2faaIikpyYiMjDSSkpJclmncuLHRuHFjo2HDhkblypVtrxs3buxQ1kr/ZqVeX19f4/bt28a1\na9eMIUOGGIbhvC+00gbi4+ONPXv2GHPnzjW6du1qVKlSxahRo4bRt29fh7JW9m8r27ZKlSqGr6+v\n0b59e2PFihUuhzyl7reHDBmSbr+dmf7VzD5rdt1mpn8xjIz7gdQOHTpkDBo0yOXn7ugL3bXPLl26\n1PD19TXatWtn9O7d22jTpo3h4+NjfPTRRy6XL6N15a591mwbsFKnlbbtjmO3YZjfXlb6F2dcnb9Z\nWQcpfWFq3333ndGvXz+798wei6wsv2FY77fNHmfNrisrbctKG7CyXGZl2wluxo0bp2+//VYTJkxQ\nUlKSHnvsMXXt2tVp2f3792vDhg3q16+f7ty5o2LFitkNk0grOjpaMTExKliwoPbv3+909qBly5Zp\n5syZkqT8+fNr3759ateunebMmaMqVao4rTM6OlpPPPFEusvVo0cPu9dJSUk6ffq0YmNjHa4QX7x4\nUQsWLNBjjz2moKAg/fLLL4qKilKzZs0crg6ZrdcwDH3++ec6fvy4KleurB49eqR7l2jp0qVq0qSJ\nKlSoIMMwNG/ePI0YMcLplZETJ07o7NmzqlSpUrozFpqNtUOHDpoxY4Zq1KihmzdvatmyZUpMTFS/\nfv1UuHBhuzpCQkJcXtEfO3Zspr5fyvysUxEREUpKSnI6EVCXLl00Y8YM+fr62r0/b948jR492u69\nixcvauHChXr00UcVFBSksLAwRUdHO20DDRo0UKdOndSzZ0+VL1/eZWzXr1/X8OHDdejQIdvD0bVr\n19aiRYuc3n3Yvn27rb00bdrUZb1nzpzRzp071bFjR9u+kN4VNLNtK2V/ffzxx13W5crVq1f19ddf\n69///vcDK5vetk27vVzts1baoJW2bbXfOn78uI4fP674+Hi770gdn5V+SDK/verXr6/OnTtn2F4l\n6fDhwxoxYoQiIyNVpEgRLVy40GGyFklatGiRy3WVdvY96V4bbNy4sSpWrGhrg8OHD1fu3LkzXe+5\nc+dUtmxZh341OTnZbhielTZQu3ZtRUdHq1KlSmrRooUaNmyo2rVrO92/XO3fCxcuVMGCBe3KRkRE\naMGCBRm2V+neiIjdu3dr586d2rVrly5duqTixYurUaNGeuONN2zlrPTbycnJCg8PV0xMjO09K7P5\nudpnrazbzPYv6fUDP/30k6R7x9sDBw5o+fLlCgsLc1nXg+4L3bXPSveGH27evFmXL19WoUKF1KVL\nFz399NPp/k1668pd+6yVNmC2Titt2+yxQLLWF0rmtpeV5beiQ4cOevPNN1WzZs0M18HZs2e1Y8cO\nU+cEx48f14kTJxxmQ027HJL59mqlbVk5zpo915XMty0rbcDqPmNGtk0Wa9WqpTFjxuiHH37Qc889\npxkzZmjHjh1Oy/r7+ytXrlyqUKGCKlSooCNHjmjZsmVOy65fv147d+5UcnKy4uPj9e2336pLly4a\nN26cXaKXlJSkU6dOSbo3nKBixYouYz1//rxefvll2wn1rFmzXD6DMXHiRJcbOe0zDdevX9eBAwfU\npEkTxcfHpzuEw2y9M2fO1GeffaZy5crp3Llz6tWrl8aPH++yXrOWL1+uGTNm2E5OJk6cqL59+95X\nrAkJCXrkkUdMx3D9+nVFRESoTJky6V4ssLINzM46tXDhQru/MwxDQ4YMcTpF9G+//eYw1KJ48eK6\ndOmS3XAFZ8u3cuVKDR061OnnsbGxloZ6HT16VL///rtKlCihatWq6fr16w7DiT744APNnTtX+fPn\n1507dzR27FgNHjzYaX1t27bV1atX1aJFCxUpUkSXLl3S/PnzTcfjzKxZs/Tll1/q1VdfVVxcnB5/\n/HE1b97cadkTJ05owoQJtk789ddfdzn8a8KECXavDcPQa6+9pqlTpzq0gUuXLmnGjBm2eoOCgvTk\nk086rff33393eM/ZNk37/ak5e7bp1q1bOn/+vMqVK+dymKxkrd9KERkZqd9//13FihVT0aJFHT63\n0g+5Wi7DMGxJbIozZ844tFdX7b9bt24qVaqU2rdvr++++06//fabVq1aldGiZejMmTM6ceKEfHx8\nMjzomy178uRJff7557YEyNmyS9b6ocDAQJ04cUKSVKFCBfn5+alWrVqqVauWypYt67SOI0eO2PqU\natWqpbtsVp0+fVrLly/XV199pcTERLu+MCEhQRcuXDC1rsaMGWP30x9p+9XUrPQFZtetlTqXL1+u\n0NBQvfzyy4qKilLRokXTna0wtW7dumnatGlOy5plJVYz+6yr47PkfF6ItPUmJCTYnotN69q1a5o+\nfbrtnOiVV15xOVTVCrP9q2S+DVjp3xISEnT27FmdPXtWFStWVIUKFSwugXNW+sLjx49r4sSJtuPR\nG2+84XQIZmbOc1Lbv3+/0xk+rayvB3lOcL/tNaNYJXPHWSvnuma+P6VNOzt/S+980Mqxy4xsmyx2\n6tRJkydP1scff6yhQ4eqW7duOnLkiNOydevWVWhoqF577TW9/vrratu2rQ4fPuy0bJ06dVS8eHHl\ny5dPSUlJOnr0qGrWrKlOnTrZPURq5cAwYMAAJSUlqVWrVtq4caM8PDy0fPny+14HXbt2VXh4uHr2\n7Kl8+fIpOjra6YPzKcw09Kefflrz589X/fr1tX//fo0cOVJ79uxxWtZZB5IibQfSvHlzDR48WPPm\nzdO0adM0ffp0l8l9fHy83XMcru5sfvjhh1q0aJHdVWdXJxLr169XUFCQEhISlCdPHs2YMUPt2rVz\nWtaKypUra+XKlYqOjtaIESP05ZdfKjo6Wl27drWLxdlv/Pzwww965plnHNaDsymaXXXMkhQWFqZP\nP/1UGzZsUP78+bVr1y6XsZrdXini4+O1adMmrV27Vjt27NDRo0ftPm/WrJkmTJigdu3a6fvvv9f0\n6dNtV83T8vPz05o1a/Tqq69qypQpCgwM1MGDB+8rVj8/P/Xs2VOHDx9Wx44d9d5772nz5s1O/65b\nt24qXLiwdu3apebNmysiIkKrV692WrZnz552rw3D0NKlSzVw4ECHZxIGDBig2NhYHTt2TFWrVpWn\np6fLi1HOlut+ruJK0rZt2/Tiiy8qLi5OXl5emjdvnsuTxKtXr+qbb76xS1RGjRrltGxcXJyCgoL0\nww8/2NpjmzZtNHPmTLvnaqz0QynrNTk5WadPn1aRIkVsd6vTrlcr66pWrVr64YcfVLRoUV29elVt\n2rTRoUOHHMpZ6TNCQ0M1adIk27JPnz5dXbp0ue+ybdu2VUxMjJ588knbPu7sORfJ/EUASbpz5472\n79+vn3/+WXv37tWJEyeUlJTksHxpL1ylcNYWrJwkrlu3znZX8Y8//lDx4sXVoEEDNWjQQJ07d7aV\ns7Ku6tWrpxkzZqh8+fK2deVqsgYrfYFZVuqsW7eumjZtqmvXrsnf31+rV6/W+vXrnZZN/dM1efLk\nSTdRckdfaGafHTdunCTpwoULunz5svz8/HT06FE99dRT+vDDDzOsN2/evIqJiXHaF4wcOVLnzp1T\n48aNtXPnTpUtW1aLFi1yuQ7MstJnmD3PsNK/WUkUrPRFVpbLynHObP+ycuVKh+/v2rWrVq9e7XBn\nz8r6MntOYGb577e9ZhSr2eOslXNdM9+fmfM2K32sWdl2gpvY2FgNHDhQuXLl0saNG9N9eNXPz0/z\n5s1TdHS0Fi5cmO4DxH5+fnrrrbdUqFAhxcbGavDgwU4Tu7fffltNmzbVO++8I39/f82dO9flgeHg\nwYNav369ihcvrjZt2qht27Yuv79ly5YODePrr79Wx44dHTr+M2fOaOXKlZo1a5b++9//auDAgffd\n0A3DsF0NdHVVMMXUqVNlGIYMw9DWrVvl6empxo0bOy17+/Zt292WjH4Xc8iQIdq9e7eGDBkiDw8P\n5c6d2+lDvB988IG6d++ucuXKZTihSkhIiJ5//nmtWLFCI0eO1KxZs1wmi1a2gWRuZkNXnYWz9z/4\n4AOH9/Lmzeu0w+vcubPOnj2rpk2bKiQkRP7+/k6/R/q/7WXG/v37tXbtWn3//fe6e/euKlSo4HT4\nQkxMjG24rK+vr20CFWcaNGigzz//XDly5NA333zjcrZQK7EWKVJEnTt31sWLF/X000/r9ddfd1n2\n9OnTCgoK0r59+zRx4kSXs8tK/3fynvZuqrOT+kOHDun999/XiBEjNG/evHQvQqRs27i4OO3Zs0cn\nT550Wu7KlSsKDg52OuwmbRucPXu2evfurU6dOmnt2rV66623XCaLw4cP16lTp+xODFwli/PmzVNY\nWJgmTZqksmXL6vLly/rf//6nuXPnatKkSbZyVvqh1OsvPDxcc+fO1UcffeS07IcffmjrX7Zs2aKE\nhASn5aR7CcSHH36oLl26aM2aNS6H6VjpM9555x29/PLLtpOiRYsWuTzgWikbFRWl9evXZ3gV28pF\nAEny9vZWQECAAgICJN1LHvft2+dQzlViKjm2hddee82hTJ48eTR16lSH919++WUZhqHKlStr4sSJ\natOmjdN93Mq6atSokYoVK2Zq6J2VvsBsH2+lznz58uk///mPgoOD1a5dO82bN89l2aSkJM2aNUtn\nzpxR6dKlFRQU5PIOsNnjrJVYzeyzc+bMkST961//0rJly/TUU0/p/Pnz+s9//nNf9UrSzp07FRoa\nqrJly+rChQvq2LGjyzqtSN2/7t692zaKwhmz5xlW+rePPvpIr7zyil2i4CpZtNIXWVkus8c5K/1L\n6on1Un5gvkePHk6HgFpZX2bPCVL2geTkZG3dutXpCBd3tlfJ/HHWyrmume9P2fYrV65U3rx51aZN\nG23dujXdidys9LFmZdtksWnTpipVqpRtJ0/vILpz507ly5dPHh4eunjxop5//nmXZd9//32Fh4fr\n9OnTklyP77VyYHjyySe1fv16devWzZY0uvLss886HMQ8PT317LPPOpStV6+efvnlF3l7e9uuIrti\ntqG3b99ezz//vGrVqqWDBw+mm9im7kCaNWum5557Tm+//bbTsq1atdL69esVFRWl3r17Ozx7l9qB\nAwf09ttva/ny5Ro8eLD++9//upz1a+jQoQ7P2TgTGRmpBg0a6JNPPpG/v7/ee+89l2WtbAOzydfx\n48c1efJknTp1Sk899ZSmT5/u8Exiivr16+vLL7/U6dOnVaZMGfXq1Us5cuRwencypcPImTOncuTI\nke5Bx1Uin1br1q118eJFFS9eXL169VKHDh1cDtds1qyZhg0bpiZNmmjHjh3pPrO4fft2bdu2TZK0\ne/du9e7d22XZ7t276/r163ZXXZ0NuciXL58GDhyoHDlyqFevXg4/LJ9a6dKltW7dOsXHx2vChAku\nfwpFkvbs2aNx48bpzz//1OOPP645c+aoYcOGTssWKVJEmzdvVnx8vEJCQlS1alWX9abehpUqVXLZ\ngU+aNEkXLlxQ69atM5z9LSIiQgMGDFDRokVVsGBBffbZZy7LXrp0SZs2bXJ4dsSZ9evX66233rJ7\n3qhs2bIaM2aMXbJopR9Kfdf56NGjTu/+pUjdXgsVKqTnn3/e5QnwpEmTNGLECH388cd69NFHXd49\ns9Jn/Pnnn2rdurW8vb3Vpk2bdIdHWSnbunVrvfPOO2rQoIFy5swpwzDUrFkzh3JWLgI4OyF97733\ntGTJErVo0cLufVcXrpxxdhcvV65cTk8SJ02apJ9//ln79u3TmDFj5OXlperVq9seGUlhZV0dP35c\n/+///T8VKFDA9hyXq/it9AVm+3grdZYoUUIjRoxQYmKihg4dmu78BOPGjVNsbKyaNm2qn3/+WePG\njXN598fscdZKrFb22WvXrmnTpk3y8PDQjz/+qKtXr953vQULFlR4eLjKli2rI0eOpHtnNTExUaGh\noXrkkUfUsWPHdC8ymu1fJfPnGVbWlZVEwUpfZGW5zB7nrPQvzu5uVa1aVd27d3dIbqysL7PnBKn3\ngSZNmqh///4u63RHe5XMH2fTnuum7vsy8/0p237s2LFau3atihUrpsqVK7uco0Wy1sealW2TxTZt\n2ti9vnDhgsvnhHbu3Glqh5TudeJmnpGwcmB46aWXNGbMGM2ePVu5cuXS3LlzXZYdM2aMTp8+rVOn\nTqlChQq2Z4rSPkAr3fvNtJQD55YtW9S6dWuX9Zpt6BMnTlTRokV18OBB9evXL93JPFLHdO7cuXQT\npzfffFNnzpxR7dq1Vbt2bYdnNlKrUqWKDMNQ4cKFlTNnTkVHRzstV6hQIfXo0UOVK1e2nXSFhIQ4\nLVu/fn2tWrVKMTEx6tu3b7qdrZVtkJKc5c6d2+73zNImbZMnT1ahQoU0btw47d69W1OmTNHKlSud\nfn9QUJC2bt2qcuXKac2aNQoLC9OCBQuclv36669tw1BffPFFFSxYUNu3b3datlWrVqaGM1y7dk25\ncuWSn5+fatasme5v9Lz22muaNWuW9u7dq7p16yooKMhl2VWrVtku8Hh6eqY7uc0bb7yhjz/+2GWM\nKYoWLaq6devaLhqld7dwxowZOnjwoO1ZkhEjRqT7/S1btpS/v7927Nih6dOna926dU7LTp48WQcP\nHpSXl5fu3Lnj9Pmz1FImBKpSpYpdX5NaWFiYPv/8c5cXFFKrXLmypk+frn/961/65ptvnE5Uk6Jj\nx45av369GjVqZDv5dnXX5vr16ypVqpRu3Lih4OBgzZw50+53wVJY6YfSPs/63HPPpbtcqdtrrVq1\nXJatW7eutmzZovPnz6t06dIuR0VY6TPq1aunl19+Wa1bt9aGDRucTn2embIpfe/SpUsluT7GWLkI\nUKRIEYf3cubM6fT9o0eP6tVXX7Xd1Zo2bZrLdZvym2cpz2RLroc+9enTR3369JF07/ngvXv3at++\nffr888/tTpisrKuOHTuaviD35JNPmu4LzPbxVuqMioqyTVyUO3duBQYGuiyb8kxtqVKl9Pvvv6d7\nPDJ7nLUSq5V9dvTo0Xr99dcVEhKinDlzauLEifdd7+DBg/XSSy9pypQptp8icOXNN9/UqlWrlJSU\npGPHjtnurHTp0sXhWazUk6jlzJnTZZ8tmT/PsLKurCQKVvqi1M9i5siRwzbqwtk8BmaPc1b6l9Qj\nfeLi4jRjxgwNGTJEy5Ytc9h2VtaX2XOClH3AMAydPn063VEm7mivkvnjbOpzXT8/v3SPx1a+v2TJ\nkho9erTq16+v3bt3O+3bU1jpY83Kts8spp1YRLr/Z38k889IdOrUSSVLlrQ7MKR35yYiIkK//vqr\nfH19073itGLFCtuYd+nehBD9+vVzWnbDhg22unLnzu10hr0UvXv31hNPPGFr6JGRkfr0008dyll5\nQDz1iYSXl5cGDBjg8u7LzZs39d5779lOUIYPH+7yamKTJk107do127LUrVvX6QPKztaLq2dBb9++\nrWPHjmn79u2qXbu2WrVq5bScZG0bmJ3ZsFatWvruu+9UrFgxXb58We3atXP5vF7dunX14Ycfqlat\nWjp69Kj69++f7kx5Ka5fv65Vq1a5nGAmvTsKqa9c3r17V99//73Wrl2rsLAw5cuXTwEBAWrXrp1t\niFsKK+3F2eQmrn6Iun79+hoxYoTdfujszqqV77dStlatWvr2229VokQJ/f7772rfvn26d8HMPvth\ndkKgWrVqafXq1aYeTBSxNiAAACAASURBVD99+rRGjBihCxcuqFSpUlq0aJHLiWvSXqRJb8KQNm3a\nqFOnTurYsaMCAwO1d+9ezZkzR9u2bbM7CUvbD5UpU8bl1f+UZ7U8PDyUJ0+edC/ipTwnk5ycrO3b\nt6tu3bouR4WYndTBSp9x5coVTZo0SQcPHlSNGjU0Y8YMlxckrZRN/bxaCmejTdL22deuXdMnn3zi\ntE4rnn32WRUpUkQBAQH66aefFBER4fIRipTfA4yLi9POnTu1Y8cOLVmyxGXdSUlJOnz4sK5cuaKS\nJUuqWrVqDn2jlXXlLlb6eHeYPn268ubNq3bt2umHH37QhQsXNHz4cHl4eDhcvLFynDXLyrmDdG9k\nzm+//abSpUune5JqpS8ICwvTkSNHVK1atXRPZhs2bKh33nlHBQoUULdu3RQXF6dKlSopKSlJa9eu\ntStrZcKU1OcZhmGoXr16Ts8zrKyrhIQEnTlzRmFhYRkmCs5+fN5VX5T6wllKvPv371e9evX066+/\nSnJ+fEvh7Dhn9pwwrcTERK1bt06tW7fWggULHI7rVtqA2XOC1OsqT5486tOnj9PRGCky217T27Zm\nj7O7d+/Wzz//rA4dOmj+/Pnq1q2byzu2Vr7/3LlzCg4O1pkzZ1SuXDmNHz/e5YVed/Sx2TZZTDmI\nJScna+PGjbpy5Uq6V6fM+s9//qPBgwenO5TMKiuTSjRr1kyjR49WmzZttHnzZs2ePdvlnSIrExWY\nbehWJ+AwO8Po888/r1OnTqlmzZo6cuSIypQp43ISkKVLl9ol4n5+fsqXL5/LZb1x44YKFiyY7sHu\n+PHj2rdvn9q0aaPFixfr2WefdTkhkZVtIN0b+79ixQpFRESoRIkS6tu3r8Ozg4GBgXrqqac0a9Ys\nvfrqqzp06JDWrFnjtL5Ro0YpMDBQAQEB2rZtm1auXOny4f/Q0FCn7xuG4fTKdmhoqKpUqSIfHx8d\nOnRId+7ccZqEpbh06ZK+/vprrVmzRufPn3doC1baS+rJTc6ePasKFSq4fH5q0KBBmjZtWrpDqax+\nv5Wyffv2laenpz766CONGzdOly9fdnkgtfLsh9kJgUaOHKljx46pdu3aDjP+ukqwb926le4+KMnp\nM2z16tVzWnbmzJlatmyZDMOQt7e3fv75Z/n5+enNN99Uhw4dbOXOnz+vQ4cOKTk5WTExMZo2bZpm\nzJihDh06OFwpzuwsiBcuXFDPnj1dTt5kZVKH5ORk3bhxQ4UKFUq3z4iLi9O5c+fk6+trN+HU/XLW\nbzt73OHUqVMaOXKkrc9euHChy2fznT2DlyLtM66NGjXS6tWrVaxYMV29elX/n7wvD+spjd++bWUk\nYxlTdo2ZqYxIi5qEpIUSKhnR2AkpsldEKDKh7GEQg5AySpbKFkXZyhYp2gtJC+097x+95/y+y3lO\n52De93W993W5hnrmfM/3nOc85/ks932PGzcOiYmJTZ53Xl4eJk6cSBWwKioqgrOzM9LS0tgNrZaW\nFvbs2SPXeSM0uSJG3EHM8y10jRcj8MN1D2gCM7TOGq7kDSPE0tQ8FHOtuN4btOqmGDV3BuXl5Thz\n5gxCQ0M5uyfErBkGBgY4dOgQ/v33Xxw5cgRDhgyBp6cnbG1t8eDBA6mxYkTUhO4zhD6vgLhAQQxk\nE72EEAwePBgJCQns+1usEIqYJKNkUMe4BNjb28Pa2hpGRkZSYyXtxD59+oS5c+fin3/+Qd++fdGm\nTRupscyeoLq6GllZWejatSuioqJol0EQxMxXMfeWQVPvWWtra5iZmeH58+f49OkTCgoKEBMTwzlW\nyHMoNgnwX+GbDRYlL2BaWho8PDx4Pe8+ffqEhoaGJkVbLC0tkZ2dTeVIfI4ykb29vZyoBK3Ko6ur\ni2PHjkFDQwNPnjyBk5OT3ILIYOTIkcjKykK7du1QXl6Otm3bsgut7PFzc3PRvXt3dqJz2SAAjS27\nTDY/NjYWCgoKWLVqFefni1EY1dPTQ2hoKH7++We8evUKDg4OuHv3LudYpoWJCexsbGw4pd3j4+Ox\nYsUKvH//Ht9//z02btwox89hMH78eNb76MWLF2jWrBm1RUXMPbh06RIWLVoETU1NqKmpIS8vDykp\nKdiyZYtUG1BaWhpOnDgBHx8fHD58GIaGhtQWQ0tLS2RlZUFZWRnl5eVo164d9b6K2XRs27YNBw4c\nQFBQEEpKSuDt7Q1CCKZPn87ZPlpcXIzc3Fx07twZXbt2RWpqqpx3HXM+koIttCSAJNLS0rBu3Tpq\nAObo6MhWoZkWHa62XWa+Soqg0HhtYs61sLAQ4eHhmD9/Ps6dOwc9PT0q19jGxgbGxsYs9+PGjRs4\nf/4851h9fX2cOnUKampqeP36NcaPH8/5HLx//x7BwcFIS0tDdXW11O9kA2wxm9SamhqcPHmSrcA5\nODhQOZElJSWIiooCIQQKCgqYOHEicnJy5Dojhg4dirdv37L/Zs5lxYoVmD59utRYMSqIkt+rpKQE\n3bt3pz6zAwcOxP79+zFv3jxERUXByspKqhp/5swZPHr0CMOHD8eKFSvw4cMHtG/fHv7+/tTN3PTp\n0wUJYACN7eD79u2TamWj3QNmc1dTU4Py8nKoqKjg2rVrnGMJIXjz5g06d+7My9US4wG2du1aVFZW\nwtzcHHFxcfj48SMcHBwAQI5zLLuZqampgYKCAmcyauHChSguLsaCBQvYQDQwMBBdunRhxScAcckV\nLhVGBrK8SclKNCOCQbOjELrGi1GBZO5BfX09EhMT2eQgF7iSNgxkkzfTpk3D7du3m5yHJ0+epB5T\n9lxl3xtt2rShdq+IUXN/9uwZjh07hvPnz+O7777DmDFjOK23hg0bhjdv3kj9jBDCuWYsX76c5aD5\n+PggKCgIhYWFMDAwkBODmzt3LtTU1PD8+XNoa2vj8OHDuH//Pue51tXV4dSpU2wr8oQJEzituMQ8\nr2ICBTHrdmlpKdLT09ng2sfHB5s2bYKenh67LjDvNy4hFEmfU65jN5VklFQHZ1wCGGG/ptTcgcZ7\nyzxzNGRkZGDmzJmc15brWkVGRsLGxkbumomZr2LurdD7paWlhdjYWIwePRpHjx7FhAkTqO4LQp7D\nz4k5xCQPheKb5SzK8q/4VCATExPh4uKCDRs2QF1dHa6urigrK8OmTZvkqio2Nja8n8uow129ehU1\nNTUYPnw4bt26xZsdFSMqYWFhgcWLFyM6OhqBgYGwtLSkjv3ll1+wbNkyjBgxAomJiTh69Ch2797N\nOXbcuHHw8fGBtbU1bt++jaVLl3IGrJKttD179oSTkxM1WBSjMGplZYWkpCSoqKggKSkJpqamqK6u\nZnvVJeHl5YX+/fvD398fL168QEJCAucmce3atRg2bBjMzc1x5coVbNiwgRosvnjxAjt27ICdnR32\n79/PK64i5h4EBwfDzc1N6uV96NAh7NmzRypYLCsrg7W1NZKSktC3b1+UlZWxyQ1Zk+mm5qAk+Foj\nZREREYGgoCCYmZlh5MiRMDAwwKxZs+Dt7S0VLH78+BErVqxAbGws+zNTU1Ns3rxZ7phiiPeSWbxX\nr14hIyODOlZNTY2qDigJMSIoYs71u+++w6BBg5CUlITvv/8eTk5Oci9nBmK4H7KCQLRNcseOHTF5\n8mSoqqrycjsBsFW+6upqPHz4kDeoWLduHWJiYtjkUmpqKrVS2aFDB4wfPx5Xr15Fbm4uIiMjOdu3\n6+vrERUVhR49eqCiogKDBw9GSkoKp7m3GBVESRESBQUFjB07ljq2KVGHXbt2wdHRET4+PjA1NcWI\nESMQGxsLHx8f6stTqAAGAPj7+0NXVxe9evVqsgIpue7ev3+fur6mpqbCxcUFb9++xY8//oidO3fK\nJWsY8HGjZMEEFefOnWN/FhMTw5lgYvg+ki1wzL9lg8Xbt2/j5MmT7HPbq1cvbNy4UcpyChAnrCFU\n6IoZy6ApEQyhazwXtYQm8CN5D7Kzs6lzBWhcM2RhY2ODyMhIuWDx4cOHguah5DmlpaXh2LFj1LWQ\neW8QQhAZGcm2MnJBjJq7nZ0d2rRpA09PT9jZ2XGuAUBjoCa7ZqSmpnKOV1FRwadPn9CuXTtoaGjg\n5MmTuHv3LmdHzPXr1wWLqK1ZswbR0dFQU1PDuXPn8OTJE/j5+cmNk31eV69eTT1mdnY2Jk2aJBUo\n0CBm3f7jjz/w+vVrqedvypQp8PX1ZYVOxAqhcIli0fwIJROUlZWVcHZ2xrZt26QscRhItrR/+vQJ\n48ePx/79+3lVSYHG9w3tOeQSpGrVqhWn6KCY+Sp0LQaE36+uXbvCx8cHqqqqSEhI4N3HCHkOP0cN\nlet6fTHIN4qbN2+S+Ph4cv36deLt7U0CAwOpY21tbcnKlStJcXExmTlzJhk6dCjx9PQktra2cmOL\ni4tJbGwsqaqqImVlZdRjGhkZkYKCAkIIIYWFhWTIkCHUsX5+fuTw4cPkxYsXJCMjg2RkZFDH1tbW\nkhs3bhBCCHn69Cmprq6mjtXV1SVJSUmEEELu3LlDdHR0qGO3b99O+vbtS5ycnIimpiZZunQp57gJ\nEyaQCRMmEAcHB/L7778TMzMz6jEHDBhAEhISiJ6eHsnMzCQGBga856qurk7U1dWJhoYG0dDQYP8t\nCy0tLZKfn08MDQ3Jo0ePiJaWFucxhw4dSvLz8wkhTd8DExMT4uPjQ8zNzcmxY8eIhYUFdayYezBg\nwACSn59PqqurSXx8PHsu/fr1kxon+X1lr4EsCgoKSFRUFCkvLychISEkJydHbkxKSgoJCQkh2dnZ\nxMXFhYwaNYq4uLiQrKws6rn269ePvH37lhQUFBANDQ0SGhpKioqKiLa2ttS4DRs2kCFDhpB//vmH\nxMfHk9DQUGJiYkK8vb05jxsXF0f2799Pbty4Qd6+fUv9fGNjYzJ48GDy+++/E01NTbJ7927qWKGQ\nva5//PEHdWx+fr7UdX3w4AF1rKWlJedcDQsLkxvr6OhIXF1dyeXLl4mbmxtxdHSkHresrIysXr2a\n2NjYEC8vL1JaWso5buvWrURdXZ33HLmQnZ1NdHV1qb8fNGgQuXbtGtHX1ycvX77kHZuXl0dMTU3Z\na6ChoUGGDx8uNx8rKioEn9/w4cNJVFQUIYSQqKgoMnz4cN7xknOLD0+ePCHHjh0j9vb2xNfXl5SU\nlEj9vl+/fqSgoICYmJgIXrcdHR3JxYsXyaJFi8jNmzflnmlJWFlZkfLyct5z5EJhYSFxcXHh/N34\n8eOJu7s7iYmJIYsXLyb29vbU48g+B5J/ZJGXl0f9I4vq6mqSnZ1NdHR0yPTp08mHDx9IdXU155po\nYGBAkpOTpX6WkpIi917Q1tYmhYWF7PcfMGAA9XutX7++ye/DwN3dnbi7u5NFixaR0aNHE2NjY+pY\noWs813WlISAggAQEBJC//vqLzJgxgwwaNIg6VvKZYj6jvLycaGhoyI0VOg+rq6vJv//+SyZOnEg0\nNDTIuHHjqJ/P3MOqqioSHx9P9PT0qGMtLS3J/v37yYcPH8iBAwfIyJEjqWMPHTpELCwsSL9+/Yir\nqyu5du0a57iPHz+yf6+srCQrV66kHnPmzJkkKiqKnDhxgndPRkjjOlBWVkbKy8tJZWUlyc3NpY7V\n19cnT548IYQQkpaWRvT19XmPTUjju3n+/PnU31tYWJB58+aR0aNHk7///pvY2Ng0eUxCGtdtvnsw\naNAgkpCQQDIzM8njx4+JhoYGyczMJEVFRXJjbW1tyYQJE0hAQACxt7cnY8eO5Tzm4sWLyeLFi8nC\nhQuJiYkJcXZ2pn5+dHQ0cXFxIU+fPiVJSUnsO6C2tpb3ezH3tqqqily4cEHu95s3byb6+vokKiqK\nnDlzhjpfCCHkw4cPJCUlhRQXF/N+ppj5Kgm+tVgWfPfr6tWrZNy4ceTixYvk5s2b5NmzZ9TjiHkO\n9fX12f1ufn4++f333wWda1VVFe/zJRTfbBuqJJ48eYIZM2bgzp07nL8fMGAAYmJioKysDH19fTg7\nO2Py5MkYMWKEXOuJUJNOS0tL/PLLLzA2Nsb169eRkZGBy5cvc36+GFEJMTzEVatWISIiAh06dMD7\n9+8xevRozuoP0MgnmTdvHp49e4ZOnTrh4MGDnPwXT09PKSLx+PHjqfzNOXPmQFlZGZcuXUL79u1h\nY2NDVcOk8fMAyGWnGK+wmzdvYtq0aQgJCcGlS5c4z7WgoAAmJia4ceMGWrVqxVaYZU3Vz5w5A39/\nfyxcuBAdO3ZEu3btqIJEYu6BgYEBNm3aBHV1dYwdOxbJyclITEzEsmXLpLJWr169wvv37zFnzhwM\nGDAAXl5ebGZKVkBpypQpUFFRgaKiIq5duwZVVVWEhYXJXTN9fX08ePAAdXV1MDAwwO3bt6GgoIDT\np09znr+1tTWMjY3x8eNHnDlzBjExMVi7di3Ky8ulWphMTU3h6+srZZmQnJwMV1dX3L59W+qYW7Zs\nwaFDh1BXV4dmzZph1qxZrDkuHxITExEcHMwqQspCaOuFGBEUIdeVgYGBAQIDA6GqqspmR6Ojo6Gk\npCRHmBfD/ZBEamoqLl68iOXLl8v9btCgQaxHVlOVRUlUV1dj/Pjx1HZNIyMjzJ07F0FBQVi2bBlC\nQkJw4cIFzrFubm4oLi7GmjVrWJ/FtWvX4rvvvpPqYBDTJhMaGgofHx+0adMGHz9+hLe3NzX7HxAQ\ngMOHD/POrdu3b0NXV1eqfayoqAhhYWFSKoAWFhYwNDTEhw8f8PHjR5iZmeHKlSv44YcfqJVVoQIY\nAFheq7a2Nts2vXTpUs6xQnmb2trauHTpElRUVFBUVAQLCwtqJ4GYdk0xiImJgb+/P6qrq9G+fXso\nKSlRecbe3t64ePEi/P39MXz4cBQWFmL8+PEYPHgw/P392XFihHuECl0B0uJFTYlgCBXWEEPLkOx2\nat26NWbMmEGt6tTU1Mj9TEFBgW3zlYTsPBw0aBBnW93gwYNRVVUFe3t72NnZ8Sopyz6zfC2CsbGx\ncHd3R21tLVq2bIlt27bxqjYCQEJCAo4fP46rV6/iyZMncr93dXVFXFycXHXkyJEjcp02RARf+O7d\nu0hKSkJDQwOqq6uxf/9+LFiwANOmTZOjIBkbG2PFihWwsbHB2bNnsXnzZk5OtJhjXrt2DUFBQZg7\ndy7atm2LTp06CVK0rqqqwo0bN+RU/hns2rULdnZ26NKlCysww8cx3bRpkyAhFAYZGRnw8PCgKrT/\n/vvvUFNTY1Xfr169SuWES7ZAEkJQUFCAnj17ws7ODnPnzpUaO3DgQEycOBGpqakYM2YMgoODOTs9\nTp8+jfXr16OmpgYtW7aEt7c3tWorZr6KEd0DGukQOTk56Ny5Mx4/ftzkc9AUxDyHdnZ2aNWqFauG\nWldXx6t7IfT5EopvNliUvcgDBw6ktn8ZGRlh27ZtKC0thZubG44dO4aXL19i7969uHr1qtRYbW1t\nHDlyRMokk6uX/+HDh1i9ejVevXqFXr16Yf369dDR0eH8fDGiEsyLkPxv4RZlZWV2I8TVNnrp0iVk\nZGSgV69esLKyoi6q+vr6UFVVxdq1a3Ho0CHcuHFDro+6qKgIKioqSEtLQ2ZmJn766SfehU6MwqgY\nCA3sGOlrWfAF40Ig5h7MmzcPaWlp+O2333Dnzh0kJCRg8ODBsLa2lkoyPH78GH5+fnj27Bnatm0L\nbW1tqh3GgAEDcP78eUyePBlbt27F9OnT5e5V//79ceHCBdjZ2SE8PBzdunVDbm4u7O3tqUmTq1ev\nYvHixaiqqsKcOXOwaNEi2NrawtfXVyohoKuri6ioKHTp0oX9WWFhIaytreWehcGDB8PLywtr165F\ncHAw5s6dS/38iIgI9sWfnp6OsLAwKs/Yy8sLeXl5GDFiBG7dugUArBIrbfPblAiKkOvK4NWrV/j+\n+++Rk5ODXr164dOnT7z+qIAw7seDBw9w8eJFxMTEoKioCP379+dctwwNDeHl5QVtbW25dhfZNjw/\nPz9cvXoV9fX17Mu5W7du2LVrl9zze+DAAbx+/RpnzpxBx44dERAQIJUUkISBgQGOHj0qlVTKyMjA\nhAkTpOYBE6gQDtNwrnslVAVRyNzS0tLC5cuXWa7JqVOncPPmTSgpKUmNjY2Nhbe3N0pKSqT+f761\nQozQliwtghBCbW8Vytu0tbWFnp4ebG1tcfbsWSQnJ1MFrWhKv3l5eV8kgtCvXz84OTnB1dUVhBDM\nnDmTyo2rqanB5s2bYWNjgwEDBqCurg4rV67EqlWr0L59e3acbHKFT7hHqNCVWHyOsMbr16/h5OTU\npE/l+/fvqYJrqampePjwIYYPHw5/f3/2Pbt8+XKqCIfQeThv3jzcuHED6urqsLOzg42NDXU9ktxk\nKioqYsiQIbx6DkLV3GXB7ClkoaOjgzlz5qBDhw6sFcPatWuhpqb22ZtZoHHdJISw72vGJ3fWrFmY\nNm2a1NiQkBCEhobiwoULcHNzw8CBA+X4kmKPKYmamhrs27ePKpgiVrypc+fO2L9/P7p168YpsCQW\nTNKHEILU1FTExsZSubSGhoZswLZ+/XqYm5tT352S/Ona2locPnwY48aN4zy+paUltm/fjh07dmD5\n8uWwsrLC48ePOT9/ypQpGDFiBC5fvowTJ05Q3/OA8PkqZh1ghJNqamrQokULasAqhi8o5jkUkwT4\nL56vb5azyHAHgcaLLCvpLwlra2vMnj0bDQ0N6Nu3LwYMGAAnJyfOKphQk05tbW1eDx9JcPETaMGi\n5IsoISEBYWFhVF/GCxcu4Pz583BxcUFFRQXy8vKoL9VRo0Zh1apVUFBQgK6urlxmcsOGDSgvL0ev\nXr3YIIYQAjc3N8yfP5/zmK1bt0Z6ejoqKyvx7t071NXVNWkgLgT29vYwNjaGiooKKioqqA/P06dP\nUVVVhdatW1OP9TlEXzH3YObMmfDz80NeXh7U1dXRqlUrzJgxQ+6lM2HCBIwYMQLR0dFo1qwZr0y7\nsrIy2/efk5PDWXVo164dEhISYGZmhlOnTrH+eXx8R4ZfW1lZiU6dOgHgrvj+8ssvOHDgADw9Pdkq\nSUhICNTV1eXG1tTUoKamBoQQlJWVUTfTAKT8jpo3b87r4RkfH4+TJ0+iS5cusLCwgL29Pfbu3Ss3\njksEhQYh15VBdnY2Fi5ciKqqKlaEQzZY/Jy5NWnSJLRo0QJOTk6YM2cO9RxmzJiB5cuXSx2fqSzI\nbhJOnz6NMWPG4Pvvv2dfztbW1sjNzZULFmfNmoWKigpMmzYNPXv25K1aVlVVAWjc8Dk5OSEmJoYV\nN5GEENNwrmr97du3cfv2bepmSsjc6tu3L8aPH4+WLVuirKwMpqam2Llzp1z1yczMDGZmZqirq+Pl\nekjCyclJSgCDZm4NNAajTa1FDITyNr28vODi4oJ//vkH7dq1o3Y8ANweqnfv3sWIESO+aFP577//\nQklJCUpKSqioqMDBgwepY2Wrbi1btkRAQIDcuJ9//hmXLl1CaWkplJSUEBkZSQ0WKysrYWdn16TQ\nlVhIVkczMjIwY8YMznFMsoMQgtzcXN71TYjgmre3N/T19eHu7o66ujoMGTIEt2/fxpIlS6gdId9/\n/z3Ky8vZf1++fJmzqrRnzx4UFBQgNDQUe/bswebNm6kb+u7duyMmJgZTpkxBeXk5rxm5ZPWFWddo\n1RcuHty+ffswZ84cqaq8t7c3zMzM0LZtW9TW1qJdu3ac/Dex6NixIw4dOsTyHG1sbBAXF8c5durU\nqSznzd/fH9999x31mIcPH8aPP/7Y5DG5EncRERGciTs7OztqQpQLjIbExo0beSutQoNQHx8f9u+K\niopUyy3mmF5eXigrK4OnpyeUlZWpYyW5uzU1NVBSUsLUqVPx8eNHubFKSkqYPn06mjdvDkdHR+r7\nu3Pnzhg1ahTU1NTQpk0bajcMIG6+yq4DtK4koLHTZdq0abCyskJMTAwCAwM5g0UxfEExz2Hv3r05\n90BckHy+6urqvsrz9c0Gi7Kte8+fP4euri7u3bsnFzl7eHhAQ0MD79+/h729PVq2bImIiAjOqpkY\nk0yhkDUFbd26NbWFIDMzk/37mzdvWLI2F9atWwc1NTVs3ry5ydYAZ2dnKcVCZqPLmLpGRkZi9erV\n2LBhA9atW4dRo0bh/Pnz2Lp1KzVYlBXLSElJ4S3hC0VAQAByc3NhZGQEb29vTJ48mZNUfvjwYTx5\n8gSWlpbw9PTEzJkz4ezsLDWGISWnpqbi/fv3MDIyQlJSEm+2Scw90NPTQ3h4OKscmp+fL9dqATSS\nlCWro7KG85JwcnLCtm3bMG/ePNTU1HCKV0yYMAHe3t7sv4ODg9lggtYm9ddff+H06dNYs2YNqqur\n0alTJ05hCXd3d8ycOROXLl1Ct27dkJ+fjw8fPnD6q9nZ2SExMREVFRVwdXXlFAhgINlC16pVK94X\n3nfffQdfX18MGTIE169fp77IxYigCLmuDAICAuDo6MgrwvE5c2vdunW4efMmIiIiEBUVBUNDQ84N\n9Zw5czBy5Ejk5eXxvkCYsZMnT0a7du3YlzMtAJN8ZiZNmsT5zDDo06cPdu7cCXNzc3z48AG1tbVY\nu3atXFu6ENNw5qVcW1uLsrIyVsG5R48e1HO1t7dvcm7t3bsXBw4cwNmzZ9GqVSsoKCigRYsW1LmV\nm5srWFZdqAAGIGwtYtChQwc8efIEvXv3xqNHj6gJAz09PcTFxSE7Oxs9e/bkrfzIqkICjcp6Bw4c\nkPs514aegWybbUREhKC1WAwOHTqE69evo76+HvX19bh//z7Cw8Ph5+cn9+wIFbr6ErRv354qgtGn\nTx92Pv/222/UtlJAmOBaZmYmdu3ahXPnzsl1hNAgu39o27Ytdf/QpUsXuLu7w9XVlZO6wWDp0qVo\n2bIlsrKy8PPPP+PRo0dUZWhJr02m+kIDl6dd8+bN5X6uqamJKVOmSPmi0sCnci+714uOjsaVK1fY\nBAQtqAOEJ/v2TtuXPAAAIABJREFU79+P2tpatnp/5MgRqb2TJMQk7oQmRIHGZMX27dsREBCARYsW\n8QYjPj4+1E4PSfCJGskiLS0NKioqaNasGT5+/Ihly5ZRx3K1drZq1Yoz0aKiogI9PT22ai4pCih5\nLCUlJcyaNQuGhoa4f/8+b1utmPkqiQ4dOvBa5ikpKWH8+PHo0aMH2rZtSy0WTZ06FQ8ePICxsTFq\namp4A2sxz6GYSrRkYNiyZcuvkoj55ttQJdWhZE1KGYiRixdrVisEDD+hpqYGN27cwNGjR6kts7Lf\ny8LCgmoqK6Y1oKnrxZiQu7u7w8/PDz///DMyMzOxZMkSauuTgYEBNm/ejGXLluHEiRP4448/qHYY\nfFlx2c2ioaEhfH19sWvXLlhZWSE4OJizPWLIkCFYuHAhwsLC0L9/f0RGRlL9wkxNTRESEoIePXog\nPz8f06ZN4+WYCr0HfMqhkps7rgWUAVeAzVdRZZCRkYGioiK5SgmN0yOUHwA0Jl9OnjzJvhAdHR3x\n888/c44tLCzE8+fP8dtvv0FJSYka2InxP5Js8+7evTvWr1/PWY0vLCzEvXv3MGzYMISHh8PU1JS3\nuijkugKN1+rixYssX8zS0pLq1yVmbr19+xY3b97EtWvXEBcXJ9cuyUDMBkkMx1bMMxMSEoJNmzYB\naNygJicnY9SoUdiyZYuU2TRTJRdiGj5v3jz88ccfMDExQUJCAo4ePYo9e/ZQv6vk3JL16pNEfX09\nmyyLj4+HsrIy5/cSI6s+aNAgHD58GH379sXz58/x559/Uu+LmOsqlLcpJgC9e/euVIa6S5cu1BZE\nWd5ncnIy3r59C2VlZbnvJ3QtFoOBAwdCX18fysrKqK2tRUxMDKysrDB06FDeZI8Q1NfXIzU1FYWF\nhejevTv69evH+f7OysrCsmXLRHkHVldXY+3atdSE6LBhwxAaGsrahjg4OMh5NxobG2PhwoV4+PAh\nfvjhB7YjpLS0lJrkY/YPhBBcvHgRiYmJ7HMpiSNHjiAiIgLLly/Hx48foaKiQvUS1tPTQ0REBNau\nXYv169dj5MiR1L2DJJgqLF8CleF1de/enZoIEeOLKqn5ILtdld0kC+E5M9i2bRvev3+PsLAw6Orq\nStGIJBNgYvaae/bskUrc8bWhMroXTEI0PT2darOhqamJpKQkKCsrY/fu3dixY4egYC8/Px+TJ0+W\no1sBjddu9erVSE9PR58+feDr60ulHdXX11OVbWUhqxdBCMHhw4cxffp0Kt9Z6LEkIeRYtPlqZmaG\niIgIKCsro66uDleuXMGpU6eQkJCAp0+fch5r8eLFePnyJQwNDXHnzh106NCBfb4k55hQ3RNA3HP4\nX/HSheKbDRaZ7IEk1NTU8OrVK7mq46pVq6QqYCNGjKAu+EJNOj/XKLOgoAAuLi4IDw/n/D3zImY2\nXnyZjunTp6O+vh5lZWXo1KkT0tLS2HYGWXDxLIyMjFhT1z/++AO1tbVQUFBAQUEBdHR08ODBA6ir\nqyM4OJjzmGLEMjQ1NdGpUyfWEJtpg3z37p3cgj9w4ECEhYVhwoQJOHjwIKZPn87plcS0Ao8ZMwYn\nTpyAo6Mj1Q9x2LBhMDMzg4mJCeLi4hAXF0c1lxZzD3x9fXHp0iU4OzujV69eyMvLw969ezF06FCp\nNo8vXfRokG1F7tKlCzVYEsoP+By8evUKx48fZ7lVXBCzURcKMaI1mzdvRlhYWJOVVUBehOPt27dU\nT0gxc0tTUxMtWrRg5dVpVghcXlUAN8dODMdWzDNTX1+P9PR0AECLFi0EifY0BT09PezZswf6+vq4\nc+cOXFxcqAkmseIDDIqLi3H27FnOliJtbW1WVr2goAAjR46kisYIFcBgjiv0ugLCeJtiAlATExO0\nbNkSP//8c5MZagZv3rzBhg0bEBMTA2tra3h6espt7oWuxQySkpLQpUsX9OjRA0VFRfj48aNcFcDb\n2xuLFy9G+/btmwzAxLR6FxUVwdnZGWlpaWyXhZaWFvbs2SOXaBC6FokRihAiuLZ9+3bO5Agfd1Yy\ngH/x4gWCgoI411g9PT0MGTIE7969g4mJCc6cOSNlYyCJ2bNno127dsjPz4eamhri4uKoXHNJvH//\nHjNmzKAKa5w9exbe3t5NCpE05YsqCWav9+bNGyQnJyMpKQmpqamoqamR29iL4dATQhAWFoaNGzei\nrq4Of/31F6d1Q1N7J0kUFxdjw4YNTYpXAcITokBj0NelSxdBhQvZTo+SkhJO70AHBwd07NgRxsbG\nSExMxLt376gt3mJsNv5fAm2+Dh48GEOHDsUPP/yAiIgIVFRUYOjQoRg9ejRVZIir1R+Q56cL1T0B\nxD+HV65cQWZmJtTV1eU8cf9rfLNtqB07dsSePXvYaiHT+icbKAKN1ULZClhTPcySJp1cwSLXxKFx\nisrKyhAcHMxmcGgKkEBj8CS5+c/NzaVu/mVbA2jqe0Bjlly2utq8eXN2sfPz88OOHTtQVFSELl26\noKCgAKqqqigtLaUec8aMGXjx4gU+ffqEHTt2cLbTSeLChQuoqKjA2LFjcfPmTVRUVHAujrq6uhg/\nfjwMDAxw/fp1qnci08qipaWFmJgY6OrqUj/b29sbHh4eOH78ONq2bcu76RRzD+Li4uDv7y8lEvLT\nTz/B1dVVKlgMDQ1FQ0MDPnz4wMuVEwsxrchC+QFiEBsbi2PHjuHOnTtQV1eHm5sbdawY/yOhSElJ\nYUVrgoKCOAUKGJw4cQITJ07E8ePHMWbMGF6PvXXr1sHFxYXtNKAZxwPi5pazszMuXLiAY8eOITU1\nFcOGDeP0TKNt8rgghmMr5plp0aKFICU/MRg1ahSmTZvGKjjzeV1+bjtRp06dqNwTVVVVREdHw8HB\ngZ2LNMyePRu7d+9mjZ/5OLZCrqtY3mZ5eTkMDAzg6+uLtWvXUjltQGPFnMlQT5o0iffZIoTg2LFj\nCAwMRMeOHXHw4EGqyJHQtRhorERv3LgRAQEBePHiBRYuXIi6ujosW7ZM6n6MGjWKbc8LCgri9aIT\nw//x8/ND27ZtcfjwYba6FxgYiI0bN2LLli1SY4WuRbdu3YKbm5ucUAQXzp49C0KIlGL09evXQQhh\ng0U3NzdYW1tzdoTQMHXqVDZxRAihPjNKSkpYuHAh/P39MWrUKAQGBlKPmZCQgDZt2qBZs2bIycnh\n5WpFR0fj1q1baGhoQE1NDdLS0uDh4YElS5bIBeEBAQGYPn16k7yupnxRJfH3338jOTkZWVlZ6NWr\nFwwNDeHo6Mj5/4jh0Nvb2+P169dwcXFBu3btsGTJEs5gsam9kyS8vb3x+vVrDBkyBLdu3cLq1aup\n7w5tbW2EhIQgNzcXvXr14hVH+/PPPwWb0hcXF7PzRUVFhapQn56ejgsXLqBLly4wMzOjemQD/9Ne\nXF9fj5SUFE79gv8SYpJGQuarj48PfHx88O7dO3Tu3Blbt27F8OHDeYPx2NhYVrCJr0NJqO4J0Li+\nKCkpCXoOxSjPf46eQlP4ZiuLrq6uePHiBfLy8tC1a1f88ssv1IdSTAVMEowB6/nz5+V+x2zQwsPD\ncfHiRbi5uaFfv34A5NsAXV1d8ejRI2hpaeHJkyfo27cvtXVMjESxZGtAU3LKYqqrHz58YHkykip2\nXKioqEBhYWGTYhmampq4c+cOSktLMWbMGDx48ADl5eUYNGiQXDvF+/fvERUVBQsLC7Ro0QIdOnTg\nbBvOysrC8ePHYW9vj1atWqFz5868LYb19fV4+/YtfvjhB14hHjH3QKhy6O3bt+Hu7o6SkhL88MMP\n2Lp16xepvjEQ04o8f/58KVU9KyurLw4GNDU10aZNG6xevbrJvviRI0di/PjxcHBwQFhYGMLCwgQ9\nh3wwNjbGlClTcOzYMbi7uyMwMJAziwp8XmVViMIp8D9zq3PnzoLaddLS0nDhwgVcuHCB2rIqFJIc\n29TUVKxfv56ayRT7zPwXYBSc1dTUMHLkSEHZckZ8gHZvhUJWVn3r1q3UTDLQuBZ17NixSfEa5rra\n2dlBQUGB87oy7wUu3iYXv8zR0RGFhYXo0aMH9PX1kZKSwslBBMRlqCdMmIDU1FT07NkTM2bMgKKi\nIoDGINLOzk7u+wtZi4HGDcrMmTMxadIk2Nraonnz5pg4cSIOHDgg9f2sra1hZmaG58+f49OnTygo\nKKC23wGNLfHMRr1Pnz7UcQYGBjh58qQUxzErKwuOjo5yFWGha9HZs2elhCKioqK+Cv+nsrISu3bt\nYitQLi4u1PnFJE0aGhpw+fJlFBUVcQaskyZNQmlpKerq6qCoqIjy8nLO9kOgsVW0Q4cOgs5VV1cX\nXbt2hZKSEurr6/H48WMMGDAAY8eOhaOjo9RYS0tLHDhwAD169EBeXh5mzJjBObefPn2Khw8fIjw8\nHDo6OnBxcaGuszo6OqisrMRPP/2E0aNHw9DQEP379+dcZzdu3IgPHz7g3LlzaNWqFXx9famib0uW\nLMHy5ctZtdbz58+zPHRJiNk7DRw4UE68ikZfiI6OxooVK1BbW4vWrVtj48aN1IBNUmGUwYIFC7Bz\n506pSiKD0tJSvH79GmpqamjXrh3nMe3s7NCnTx/89ddfWLNmDR4+fIh///2Xc6wkmrLZ+C/A9f0Z\nyH5/ofO1oaEB169fR1hYGK5fv46OHTvC0tISXl5enJ8jVEujf//+qK2tZf9tZmZGVb4X8xyKqZoz\nyeLy8nKEh4dj6tSpqK2txaFDhz5f8EzOefEbgY6ODklISCD6+vokJyeH15D+wIEDxMvLi2hoaBAj\nIyOSkJAg6DOaMmAlhJCcnBwyaNAgoqurS5KSkqjn+urVK0IIIVlZWWTgwIHU4xkYGJDs7Gwye/Zs\nUlhYSDWkJ4SQgwcPkqlTpxInJyfi6OhI1NXViZOTE8nOzpYbK9SM+/z586R///5EXV2d9O/fn5w/\nf576+YcOHSJLly4lMTExRF9fn+zdu5c6Vltbm1y/fp2cPXuWaGhokH379pHAwEBiaGgoN/bOnTtS\nf27fvk3q6urInTt3pMa9fPmShISEkJKSEpKXl0c1ViaEEFNTUzJ8+HCpPzSIuQd//PEHWbduHamr\nqyOEENLQ0EA2bdokZ8xubW1NVq1aRbS1tYmvry8ZNWqUqHOlnfO0adPIn3/+ScaOHUtmzJhBjIyM\nqMf9L3D58mUybdo0oqGhQezs7Mg///xDHRsTE0P69etH1NXVyW+//UYuXbpEHZubm0v9I4k9e/YQ\nDQ0NEhQURE6ePEnOnj1LPaatrS35/fffyeDBg4mRkRGxtLSkjhUzX5ycnKh/ZCE7t2Xn9OeAMfVm\n/uvm5kYdm5+fT6Kiokh5eTkJCQlhzZW/FAkJCXKG7JLYsWMH9Y8QFBcXEz8/v69yrjk5OeTy5cuc\n66QkxNxXQgiJi4sj+/fvJ9evX+c97ty5c8nVq1cJIYTcunWLzJ07l3Pc69eviZ+fH0lLSyOZmZmk\nvLycesy+ffsSPT09oq+vTwYPHkyCg4OpYzU1NeVM4Zm58yXo168feffuHSkuLiYaGhokJCSEvHv3\njgwYMEBuXGFhIdHT0yPPnj3jXV9DQkKk5veRI0eoYw0MDOTmYEpKCjEwMJAbK7kW9evXj3ctEopX\nr14RBwcHoqWlRSZMmEBev35NHbty5UpiZGRE5s+fT4yMjHhNsyXXvtjYWKpx95gxY8j8+fOJi4sL\nWbx4MYmPj+f9fNk/NMycOZM1Qq+srCR//vknday7uzuxsbEhvr6+ZMyYMWTq1KkkICCABAQEUL8T\n17ouibq6OvLgwQMSHBxMZs2aRQYOHEh0dHTIrFmzOMcXFBSQa9eukbdv31KPSQghycnJxM/Pj+Tm\n5pJnz56RDx8+cI4TuncihJDhw4eTqKgoQgghUVFRvO8NMzMzsm3bNqKjo0MOHjzIO7a4uJjExsaS\nqqoqUlZWxvu9rl27xu7htLW1qUb3aWlpxNvbmxDSuJfjM48/ceIEOXHiBDl+/DhZuXIlr3n8mzdv\nyLZt20hhYSHveYrFy5cvyfnz58nLly95x4mZrwyKi4vJwYMHibW1NXWMgYEBiY2NJba2tmT//v3U\na3D58mXy7Nkz8uzZM5KZmUkaGhqox3z06BGxs7MjAwYMIDY2NuTBgwfUsXp6eiQiIoLo6emRa9eu\n8c4XBsnJyex5lpeXf9Ea/822oSorK+P+/fuora3F6dOn0atXL+rYmTNn4tOnT4Lk4mUNWOPi4rBz\n5045A9ba2lr8/fffCA4OhrKyMtTV1TF79mwEBQXJ8aC+//57xMbGYtasWYiNjaVmegBxEsXbt2+X\nEgpo1qwZfvzxR9y/f19OVa5FixbIyspCfX09kpOT0blzZ85jbt26FXPmzIGZmRmuX7+Obdu2ySlU\nMfj777+xcOFCHDhwAOPGjcPhw4epAgympqZwdnYGIQRz5szB7t27UV1dzWlILtl2A/wPoXzq1KlS\nVUgXFxcUFRUhJSUFP/74I/Lz86lCNEzGsLq6Gg8fPpTzrpOEWJloIcqhubm5WLt2LS5evIhp06ZR\nOR+S58qVFZKFGJUyLjWtu3fvfpFnk7m5OczNzfHq1SuEhoYiMDAQkydP5hxrZmaGCxcuCPI/Ytq8\nmdYrSUie69y5c+Hk5CSoOtaU8pokxMwXLgVAGmRbygB5kQaxYLhWQji2K1asgIqKChITE3Ht2jWc\nO3eOyvEUip07d2LXrl0ghGDx4sUYOXIkbt26BQsLC5ab/DlqqFycRRrHTYyAVPfu3QW1YDP3taGh\nAQ8fPoSKigqVjy6mRSg5OZm1amjRogWV49urVy8YGBggPj4ev/76KyfFgsHNmzcFZ6hplY4vhYqK\nCv7991+Ul5eDEILBgwcjICBATjima9eu8PHxgaqqKhISEnjVTv/++2+sWrUKgYGBWLduHXx9falq\nrhYWFpg/fz78/f0xfPhwFBYWYv78+Zy8ZDMzM0RHRyMtLU20dyANa9euhaKiIpYsWYLY2FisXr2a\nysmOiYnBP//8Aw0NDTx//hyTJk2iVqtk10KavYJkVYgRV6GJnTHVyvr6epYDRYNkNbt169a8PHOG\n/8uokFZUVCAnJweEEKnngYvGQ1sHZcWffvrpJ7x8+ZLKC1dVVYWqqir1HBkIVaIUuncCGpWply5d\nCm9vb1a8ioa3b9/CwMAAx44dg4mJCVUbAmjsHBAqmhIQEIBJkybxKnkDjaJlc+bMQV5eHqv6z2hx\nyK5zYmw23N3dkZ2djZEjR3J6bH4OIiIi4OXlxT4Hvr6+1C66OXPm4OXLl+y/FyxYgPr6ek6nBAYd\nO3bE9OnTeWks1dXV6N27N7KysqCvr4/du3dzjhPjoLBy5Ur8+OOPWLJkCeLj4+Hp6UmloMgqz/v6\n+vIe+969e1i6dCmqqqpACGF5xJ+LbzZYdHd3x5MnT1BVVYVr167B39+fOlaMUMKCBQukDFibNWuG\n0NBQtG3bVsqAdfTo0cjKysK4cePg5eWFtm3bYsWKFXBxcZFrbVuyZAkOHTqEWbNmIT09nbqJABrl\njFVVVQVt/m1sbAQLBQjlFxYXF2P06NHo1asXFBUVqQ8EII5Ts3HjRvz+++9o3749zMzMMHfuXNTX\n13MGYlwPS9u2beV+XlRUxBqluri4yLVQSUKyVSEnJ4d3rJh7YGBggDNnzrDKof369eNUDtXU1MSp\nU6dQVVUFZ2dnjBgxoslzzc/PR1RUFBYvXoyKigrOYDE+Pl7wAsBIakuidevWUi+Cz8H79+9RXl6O\n+fPnc7bEMCgqKsKlS5dQWVmJ58+fc6p1MmCsAOrq6vD48WNW1IDx/mPw4sULhIaGorKyEkBjYoFL\nKRBoVKp7+fIl65vHJ9giZr5s2bIF79+/F8Q9YeZwQ0MDLly4wOk9JRY0UQQuiOF4CkVoaCi2b9+O\ntm3bYuHChdi9ezfatm2Lc+fOsarPTNs+lxoqDbIiZoQQNDQ0cIqbMT+rqanB8+fPoaWlhfr6ejx6\n9Oiz7XwkeW6vXr3C8uXL5bhvDMLDw7F582apFiHaOi/L26S1NYoJQLm4wrRrGxcXJ1gUSwycnZ2x\nZs0allenpqaGK1euyPFnPTw8EBQUhAULFqBt27bYvHkz9ZhlZWXsxr+pgI7xEWY44T/88AMMDQ05\n3//nz59HUlISbGxs4Obmhj///JP3GRcCMZzs1q1bo6SkBEAj7YOmIA1I26IoKipiwIABnOPEePxJ\niqqlpqZSk6xiwWdVIQnmO1VXVyMxMZEV0uICl03C1xDbEsrznTlzpmBthokTJ+KXX35pUrwKaORC\nhoWFobKyEn/++ScvfzsjIwOnTp2SEk2hBYu5ubmYNm0aVFRU0KFDB6ryPldClqa7IUsV4hN4fPz4\nMSIjI79KAobB7t27sXz5ctjb2+PMmTPYtWsX9XoJLTaIhRj+tlC8f/8e+/fvZ+1T+FrcPTw8UFhY\nCCsrqybVwYOCgrBv3z4YGRlBUVERCxcuRFlZmajEtiy+2WBx7NixMDAwgLu7O+rr63krC2KyaEJN\nXaurqxEcHCyVsdm8eTNnBcLa2hqGhoZITU3FihUreHmAt27dQrNmzQQJoXh4eEjxHmiLByDcjNvQ\n0BBLly7F6dOnsWnTJqoEPiBOLCM1NRXp6emYMmUK0tLSeKXduTiiCxYskMusGxgYIDQ0FM2bN0dU\nVBRv9QcAu6FXVVXl9QMUcw8AQF1dnTeDCDRm+1JTU1FdXQ0dHR05rgcNTfG5LC0t5QJAGoGZy2up\nZcuWXyS7HB0djZUrV6KmpqZJ3sX8+fORnp4uVVmnBYuPHj1CcnIyqyipq6uLBQsWyAlxuLm5obKy\nkg3u+XDkyBFs2rSJvV4eHh6s7QMfOnfuzJvFE8M9kZzDZmZmmDp1KlWA4L+AsrIyG7Dm5OR8FbGl\nqqoq/PLLL7hx4wY+fvwIY2NjrFq1ipMrJLSqBvzPhpbhDcr+nGtsRkYGJk6ciNDQUKqAllBIfs7T\np0+RnZ1NHStGWGP9+vUwNjZmeZu0uSImAJWsgqakpPBy+8SIYomBg4MDDA0NUVJSAi0tLTRr1oyT\nU2NiYsKqhDYFc3NzREdH4+PHj5g0aRKvN6qCgoKU/UTLli2pG/tt27bB0dERO3fuhJqaGgIDAzmD\nRb4Noew6K0Y8aeLEiXB2dkbv3r3x6tUrTvEkmq7BnTt3OKvxYj3+gMaN9IMHD/6zajMNkhXPX3/9\nlTdQ+hrezVwYOHAgAgMD8enTJ+zcuZMasIvpTJO8Z3ziVUDjnuDp06dQUVGBjo4OzMzMqMcVI5qi\nqanJcjWjoqKkbI4kweXNKovPsZjo0aMH/Pz8oKmpKbUn40sON4Xi4mKYm5tDWVmZ18oMEF5sEIvN\nmzdL8beb0vMQAgsLCwQGBsLc3BxxcXHQ19dnn00utVOhVfPg4GA4OjpixYoVSEpKgpeXF+rr66n2\nPELwzQrcCCWbyoLJov39999f9Pnl5eWcVTHJjAYDMZtJMUIoHh4euHHjBrS1tfHw4UMMHTqUurAK\n9eyqqKjApUuXYG9vj1u3bqF///7UNkwhog4MxEi7DxkyhDWVLSkpoQpA9O3bVypQmjRpEnUOiAlq\n/isxGrGoqKjAsWPH4OzszG58ZTNjTNZesl2yKQ9PSXxpC6S5uTmsra1x9OhRLFiwAEePHqUGq7//\n/jvOnTvH28bDgLm3ampqmDVrFoYMGcL5/w0ZMgTR0dG8rcIMhg4dikWLFsHCwgJXrlxBQECAnA8a\nAy41MZr6nJhrIGlzUVpaij59+ggSFfha2Lt3L4KCgjBv3jyoqqpCUVHxi73t5s2bh+fPn+PNmzdw\nc3NDSEgIFBQUoKKiIhfYrV69GuHh4VJVNVri5vbt21iyZAmKi4vRqVMnbNmyhTd5VVJSgkWLFiE1\nNZUV0DIwMJDa1IgxpJf0d/vuu+/g4uJCVasTI6xRWlrKKnmrq6vD2dmZc93U19eHl5cXfH19ERAQ\nwKveK4msrCy4urri3LlznL8XI4olBgUFBfD392dVvz08PKSEvz4HtbW1yMjIwL1796CjoyN1T2Qh\nRgGQSXBaWVkhNDQUDg4OnBYqmpqa+OOPPzipI7JdFLLiSdu2beNtSYuKisLDhw/Rv39/jBkzRu73\nYgWRxHj8yV5HBwcHrFu3jnquqampCAsLQ2FhIbp164YJEybw3gsaIiIiYG1tLRVwpaSkIDQ09KsE\nhffu3cPixYuhoKCALVu2oH///qiurmZFnCTRt29fVolSQUEBU6ZM4WyvFGMbwdwzSTV9migXl381\nLWgWI5ry8uVLuLi4IDs7m1Xy5qrECvEf/xyLicePH2PTpk3IycmRC2q5bEiEgNkDmZubIyYmBm3a\ntKEGu2Kuqxg/49LSUqSnp6OhoQGVlZXw8fHBpk2boKenJxUU0ygRXF1PtGeIq7orBsnJyV+UKOXC\nNxssijELls2iHTlyhKoWKBRi+F9iNpOjR4/GwIEDERUVBQcHB9y8eZOaEdHT05PjPdC+l1DPLq4H\nDeBWygP+x/fl119/xdChQzn/X+ZcP8cE+M6dOzh06BD27t0r97unT5+iR48e7GLPl/H7r+7Bf4WG\nhga2otJUxZQB0y5Jew5u3brFtvLFxsbKZeI/B9ra2tizZw/c3Nxw6tQpODo6SknHS2Ljxo3o2rUr\njIyMWCU7rhYjQNpTKzk5GZmZmVBTU4OBgYGUEuC6deugqKgIAwMDtGjRAoQQ6jzU1dXFsWPHoKGh\ngSdPnsDJyYnqhSdGfU7MNWC4fUBjK5qVlZVgSwgaxPD1APDKfn8OmAD0xx9/xNGjR9HQ0IBr165h\n9OjRnK0ykmqofHLto0ePho6ODkxMTHDz5k0kJycjMjKSc2xiYiJWrFiB7777DqWlpZg3bx6Ki4tx\n+vRpqXVOU1MT5ubmqK2tRXx8PCwtLVFbW4vLly9/ceKksLAQz58/b7JFyM3NDc+fP29SyVtMACo5\nB7Kzs/HjCLaKAAAgAElEQVT69Wuq564Yf14xmDZtGsrKyjBo0CDcu3cPSkpKvDZRQiDU9xgQp5g4\nduxYtGrVCs2bN8ewYcMQHx/PWbHW1NTEpUuX5HiXNOTm5griZIsBV+s2l1ejGI+//Px89u+tW7fm\n7TC4du0aXFxcoKKiAhUVFRQVFaGoqAh79+4V5PVG/rdVi5OTE7S0tBAWFoYuXbrg33//xenTp1la\nAO3ZFoNx48bh119/BSEEqamp6NatGxISEjBnzhy5OSBUiZKp5ldXV+Pp06fo0KGDoEr8/fv3sWrV\nKureQTZQaN26NfV9xFg4AY2tyL17926yk6YpJW8hKq+xsbFSFhNr165t0mLiv0BhYSG8vLzY5Iqf\nnx81ESV7Xdu0aUPdF0v6Gcu2rsq+D0aOHInXr19LjQEavbbt7e3ZcZKe2oQQ1NXV4eXLl6iurpY7\npuRzKIsv2Rc8f/4cHh4e7N58/fr1X2x38s22oQolmwKQyxY5ODiI/jxJmwpAHP9LDJFZjBCKGN6D\nUH6hp6cn+3fZPnbZYFEMp0ZoywcgHbCmp6dTH3Q+vpPsovdf3YP/AqmpqXBxccHbt2/x448/YufO\nnVTzdkk01S4p2Ybas2dPODk5fXGwKIZ3wQgjSC7OtA26ZAZOQ0MDP/zwA1JTUxEaGioVLDJVVGZT\nyndMCwsLLF68GNHR0QgMDOS1TJg6dSoePHgAY2Nj1NTUsJVLLk6mmGtgb2+Pe/fuYdiwYQgPDxfs\ntcYHsXy9r22VcfXqVbi7u7Objo4dO0rxuyVRWlqKBw8eIDMzE5WVlRgyZAj1fHJzcxEcHIxu3bpB\nXV2dd4M2c+ZMqKurIygoCJcuXWLbjbna+3x9fVFRUYExY8Zgy5YtqKio+GL7EkB4i9CtW7ewc+dO\nLFy4EAcPHqRWdsVwVGSpFnx+p2I42WKQkpKCqKgoVuiLy4ZALE6ePCnXZUILFt3d3QXbbKxfvx77\n9u3DlClT0Lp1aypfUUwuXTJgZxKRX6NaJrR1W4zHX2xsLCIiIrB8+XJ8/PgRKioq0NLS4hwbFBSE\nhQsXSu2j9u3bh6CgoCaDxczMTHh5eeHBgwdwcnKCoaEhHBwc0KxZMygrK8Pe3h5btmz5KhxEoLGq\nvnv3btTV1WHs2LFQUlLCX3/9BR8fH3btvnbtGlJSUmBqaooZM2YgMzMTP/30E3x8fDjfs5I85Zyc\nHF5fUEl069aNmgwF/kcMqKamBjdu3ODdz4gRTeGqsHMlxoX4j5uZmcHU1JS1mHBzc2vSYiI/Px8b\nN25kn8MVK1YIWhf5oKqqKrgbkLmuhBBERkby8hSZQL6oqAgLFizA6dOn8enTJ6ngj0FJSQkOHToE\nVVVVfPr0CePHj0d0dLQc5eDo0aN4/Pgxm+x+8OABWrVqxellK+Y5FINVq1ZBVVUVmZmZ6NKlCzw9\nPb+YavDNBotiyKZHjx5lo/SmsmgMamtrkZqaiuTkZCQnJ+P+/ftSWZ8JEybg2rVrePnyJXr37s32\nm3PxvwYNGoTTp08L2kyKEUIRwnuQPK4QfqFkK05UVBQePHhAbe0Uw6kRYwIsG7AyL0pZvHr1CmVl\nZcjMzESvXr14s4RiNvRi7oFQ0Cq2gHyLxPr166Gvrw8rKytcuHAB69atoypWcr0YBg8ezNkuycxN\nQghyc3N5eVVCIYZ3waeiJ4t3797J/YzrRS5UUAFovK5MlWnx4sVyIkSSEKs+J/QaML5eX1ONlKmI\nFBQUYMyYMV+FrycGhw8f5k3+SGL16tVsVe3169fIzMykbmi1tLSwZs0aHDhwAFu3bqVyb4BGZWRn\nZ2e0bNkSs2fPhqWlJerq6jg3a3V1daipqUF1dTX7d6HV+68BMUreQgNQyarYs2fPsGrVKkydOpVz\n7K1bt6QSn/fv3xdx9nSoqqri6NGjWLlyJUJDQ79ITIGBpOIl02VCw5EjR7Bx40Y2GeXp6UltO+7f\nvz8bXKqrq1OrFGIqKEzAXl1djaysrC/uGGAgK4hEe3clJCTIefzRsH37dgwZMgS7d++GiYkJtm7d\nSq2AvX79Wi6hMW7cOM7qpqTwSWRkJPbs2YOePXuygdCuXbtYX8vnz5/j/v37UFVVRadOnb4Kf7pb\nt27Yv38/Ll68iO7du+Pt27dISUlBmzZt2DEbN27EyJEjsWLFCnTt2hW2tra4fv06PD09ERUVxXv8\n9u3bY+7cudTfHzlyRGrzT1OHB8B2QikoKGDgwIFUD1WxEKrkLVTltXnz5hg+fDiGDx+O9+/f499/\n/+UNPDw9PVFVVYWcnBy0a9cOK1asoFKO/muoqqrC39+fuodlNAQYP1I1NTVUVFRwjj1x4gR69OiB\nVq1agRCC2NhYTnXsQYMGsb6gY8aMgaurK7S0tDjvg5jnUAxevnyJFStWIDk5GZ6enrzK70LxzQaL\nsmRTvkDByckJY8eOha+vL6qrq2FqakptQdy5cyeSk5ORkpKC6upqKCsro3///nLBzfr163H8+HG0\na9cOZWVlvD3/zGZSVVW1yc2kGCGUBQsWoHfv3nj48CFmzZrF+3LYtGmTlBm3EBXE7t27Y+PGjVi/\nfj3n78WIOoiRdmcC1oaGBly8eJFqLBwaGooXL17A0dERdXV12LRpE1WGXcyG/nPFaPggGwBLtjLI\nvvzT09Oxc+dONsvEVwHjyt63atUKo0ePlvt5nz592MDyt99+48yeiQUTrP3yyy8oLy9HREQEdTOj\nrKyM5ORkWFhY4ODBg9SWOqDxpSukFZdLQIP2+W/evMGpU6ewadMmqKurY/ny5dSNuBj1ufz8fKSn\np2Pq1Kk4ePAgb3bwv1AjZSCbNPg/xTAQGigCwqtqAPDXX38hPDwcADBs2DDe4PfPP/9EQEAAm82e\nO3cuZ8Wyffv2OHLkCMrLy1FXVwc3NzdUV1d/lZZBoa3jYpS8hUKyXTMzM5O3valFixaorKxEZGQk\njh8/jrS0tC9uwQUaK1vMprChoYHTOF4shHaZAOJsNoRK8Z8/fx6fPn1iq5t891UyYM/IyOBNiIqB\npCBS7969qRu/Dh064MmTJ+jduzcePXrEG3wpKSlh4cKF8Pf3x6hRoxAYGEgdq6qqihMnTsDNzY39\n/pGRkZzBhawlhrW1NTZv3swmJxQUFDBp0iRMmjQJaWlpCAsLQ1BQEHx9feVU5D8HDg4O2LRpE7p2\n7Yp//vkHERERCA8Pl6r65ufnw9HREWFhYayYoaWlJW8CmYGysjI1CQOI2/zLtlh/DXVNQLiStxiV\nVwZCLCZSUlKwb98+uLi4IDAwkJdq8F9gwIABUnOQT3ixqqoKfn5+iIiIQLNmzfD27Vu8ffsWrVu3\nlhtrbW0tSPPBxsYGSUlJePXqFcLDw5Gfn4+8vDwYGhrKPZNinkMx6NmzJyIjI1FTUwMPDw8YGBh8\n8TG/Wc6iGGhqaqJ169bQ0dGBn58fTExMqKVppoe5T58+mD9/PqysrDizi/r6+vD394epqSni4+Ph\n7u6Ou3fvSo3JyMhAhw4dcP36dYwePZq14+ADnySxbBaDi5z7pUIsslxMAwMDalZIDKdGjLCE5Pd6\n8eIFgoKCOFtvNmzYgNDQUAwePBjt2rXDrVu3kJCQwPkZaWlpUoHK6NGjqRt6MfdAKDQ1NXHz5k1U\nVFSwPMiKigoMHjxYbi7a2tpCT08Ptra2OHv2LJKTk3krk5+DpqxWhEIM72L8+PHo378/Pnz4gBcv\nXgAANZMrtBVXDD9h2rRpqKqqwtOnT/Hbb79BQUGBOrdnz56NwYMHIykpCcOHD4evry9VMVD2ezVr\n1ozKvzE2NsaUKVNw7NgxuLu7IzAwkCqAIBbFxcXw8PDAvn37qIJI/7dhYmICBwcHHDhwAFOmTEF8\nfDwbEMri7t27iImJwZQpU1BeXs6roOzq6ooXL140yQNk+JUKCgrYsWMH9u/fj48fP2L58uW84jlN\nQXK+qqioYMeOHbyt4xUVFWjRooWoQJsPjCgY0Mhpmj17thR3RhK+vr44e/YsWrZsiTFjxsDW1lZO\nLfP/FUg+30yXCZc3L9BIdQgICMDKlStx6NAhzJ07lyqoYW5ujsmTJ7NS/P/88w9iY2Plxk2fPh2J\niYlwdnZm/VnnzZvX5Hm/f/8ewcHBvHxioUhMTMSdO3dgbW2NoKAgODg4cPrmhYaGwsfHB23atGE9\n/mQ9ChlMmjQJpaWlqKurg6KiIsrLy6lJ2fPnz2PZsmVYvXo1HB0dkZOTAwsLC6xevVru+JLXOzIy\nEpGRkbCyssLy5cupleba2lrExcXxWo0Iha2tLRQVFZGfn4+DBw9ydo+YmJhg/PjxyM7ORosWLTBq\n1ChcunQJLVu2/GIbqWHDhiEkJIStZllaWuLRo0ecY8WI4YhBdXU1Xr16BXV1dVRVVeHmzZvUNtZP\nnz4hPz+/SZVXMbC0tISpqSlOnDiBkSNHIi8vj7fF9mtDkjakqKjIS3WwsrJCVlYW1qxZgytXriAx\nMRH19fUYOHCg3DmfPHkSQOP1TU5OxocPHzi/V2ZmJoDG7qikpCQkJSWxxSfZ4FLMcygGT58+xcOH\nDxEeHg4dHR24uLjw8leF4P+bYPHo0aNYunQplJWVkZ6eTs2kxsbG4ubNm0hISEBOTg46d+4MIyMj\nGBkZSVXupkyZgiVLlmDAgAF49OgRNm/eLDdxsrKysGrVKraVVYhiI5dwDo3fJUvOBb5c3VLyQWvT\npg2MjY2lWjhkIVTUYcmSJSgpKUFiYiI0NTWlLARkvctkAwBbW1tOxURzc3N4enqyJsU+Pj7U6o+Y\nDb2YeyAUmpqaSEpKQmlpKcaMGYP79++jvLwcgwYNktvQ3717Fy4uLqwC3s6dO79KS6Grqyvi4uLk\neHJHjhz57CRDTU0N+1+Gd0FTY+3fvz8uXboEOzs77N+/H5MmTaKKHDk4OKBHjx5sK25WVhZnuybz\n+ZL8BFrLycCBA9mMZ2RkJEaNGkVtwZNVnzM3N8f27du/+Hv9F2qkXGhoaMC9e/f+j7SiikmunDt3\nDo8fP8bRo0ehrq6OTZs2UQMVMQrKurq6bMUyPDwcY8eOpSYNcnJyoKio+FXaJBkIna9A41p4/vx5\neHh4oL6+Ht9//z1nlV9Mgg1o5N2oqKg0KWCkpaUFBQUFuLq6wtbW9os3EQy41k0Gn7tuMs+3ZJcJ\nTTZ/2bJlrH9py5YtsWjRIiqFQUdHB5GRkVL8Sq4kl7a2NjZv3owjR45gzpw5WLZsGWc3A9BYCT99\n+jTWrFmD6upqdOrUiTOoEwtra2uYmZnh+fPn+PTpEwoKChATE8M59t69e4I8/saMGcOKwykqKsLO\nzo7TWonB48eP0aVLF3Tq1AlAY8urkZFRk+ceHx+PNWvWoLS09ItFBYUgMTERffv2Rbt27agtxKGh\nodiwYYOcUueXKlACn7/5v3//PlavXs1pGyYWQhMcYlRexeDmzZt4+PAhjh07Bh0dHXh4eHwVH9em\nUFJSgmfPnkFHRwenTp1CZmYm+vTpgwkTJnCq4QKNz9bGjRvZvWFISAjq6uowZcoUXtX2rKws2NnZ\ncc5pyX25JLjml9jn8P8mvtk2VLFQV1fHqVOneHvIgcY2CqZFMScnB/v370d4eDjOnj0rFSzW1NRg\n6tSp6N27N16/fg0VFRWWE8ZkIHr16oWjR4+itrZWUFUREOZ9w+C/MPju3r27VDZfcsMsCzFS6Vu2\nbEFCQgJSUlKQl5eH1atXY+DAgbzfC2jMDNG4H+fPn5fKhvH5TL548QI7duyQ2tDTIOYeCEXLli2R\nnZ2NkpISVFZWIjo6mrqp09PTw9WrV/H69ev/xd51R0V1dd8NFrCAiiiWqBiVGhUQBEEFVNAAggYV\nxB4MFrBgbKBRUClKsyYxGGssUQIWBAkWUIoiEsAooIIoRYgUpQ/t/v7wN+8bZuYN85gZkHzfXou1\ndLjc92bmvfvuOWefvTF8+HCxCZLEx8dj/fr16NevH1gsFnx8fESmijHpu+jfvz+Cg4MhJyeH9PR0\ngbL6TKi4bLTWnzBw4EDcvXsX9fX1CAoKgqamJu1cAQEBPOpz4nhfq1evxuLFi8UqMsPdJ8P+zNqr\nZ5GbesYJfg9HS0tLuLq6tlpVE9Y0GxC+D7CkpASBgYFCKUYyAZPr9c6dO3Bzc0NUVBQWLVoEHx8f\nvsEiO5hNSkpCSUkJpk+fTrvpYWIlde/ePVy5cgWnT59GYGAgTE1NxWLKzhZ9I4QgJiYG3bt3F3nj\nw1nNr6qqomWOAJ9M6bOzs6Gjo9OqzYaenh62bt1KSfHT3StsC58BAwagS5cuqKmpoZ3zwoULsLe3\nx4ULF2BtbS201UlrePv2LRwcHGBlZYVz587RCqww8fijs1XhBzbTJzs7G9nZ2QA+Pc+SkpJaTTJO\nmTIF4eHhlMWTpMFPRIQb9vb2sLKyQmlpqVgExjhRXV1NKZXKyMgIRW0FPiXVlJSUxHIOf/31Fw4f\nPtwiwcEvWGSvL5wqr3RobGxEWFgYunXrBmtra4F07MmTJ2Py5MlwcXFBSUkJtc5JGps3b8aQIUNw\n+fJlxMbGQllZGdeuXUNycjLt+nb16lW8ffsWERERUFVVxYYNGwQeIzs7m+pzpktcMtFmYHIfMoEk\nbNI6bbDIxMvE2dkZMjIykJOTw/nz5wUq3xUXFyM+Ph7x8fF4+PAhysrKMHjwYB7O78iRI6nqWGt+\nQ8IGikBLs9rWwNTgu7CwEDdu3KC8kqytrXmy65s3b0bXrl3x5s2bVrP5bm5uqKiowJQpU/DkyRO4\nubnRSqWvWbMGsbGxsLe3h7y8PFasWEFL65OTk4OXl1erGzomtAkmG3om34Gw0NfXx8KFC9Hc3AwL\nCwts2bIFTU1NfDPfb968wZYtW6j37+fnJ7R0uyDs2rULM2bMQO/evdHQ0AB5eXnMmTNH5HnZGDx4\nMC2lEPjUY7t//35s2LAB/fr1w65du2jHjhw5EidOnKCouHSqckz6E3744QekpqaiR48eqKio4Fkn\nONG7d2/cunULlpaWCAgIoKV+MX1f7LnFCUk1yTPBkSNHUFNTA09PTxw+fBh1dXV8N6rCKvUBzBSU\nhe0D9PDwwOvXr4VSjGQCYa9X4FMSUVNTE3/99RdGjRqFjx8/8h3HZly8efMGCxYsQFVVFQ4cOMCX\n6RESEkJZSW3evBnHjx+nDRYVFRWxZs0arF69Gnfv3sWFCxfa8I55wRnETJ06FYsWLaKtxgsL7v4w\nQZvvmpoaXL16FTk5OXj37h2GDRtGe695enpix44dFF2Yjn749u1bbNiwAVJSUoiMjBSYgBk4cCDm\nzJmDvLw8TJo0ibbXnymGDBkCT09PDBo0CAkJCbSJK3bPJCetkS5YZIJly5bxMJjomDZVVVWIi4tD\nbW0tgP9Ybomqui1u9O7dGxUVFTyqnaKC0zOX7XXJvZ9YtmwZfvrpJ+o+fvbsGS5fvszX57MtEDbB\nwUTl1dvbGyEhIWhqasLz589hbm6OmJgYzJ07l0d1uLi4GFFRUYiKikJqaioUFRXbJVj866+/4OLi\nAicnJ5w9exZjx47F06dPaZW5gU9tMML0LgP8+5y/+uornnETJkzA77//Tu3f7Ozs2t1qhJ24Y9tY\niSMR0WlpqHT9GAB4/JLOnTuH0NBQoeRp2RG5uro6Fi5ciEmTJvEVP6iqqsLTp0+hp6eH2NhY6Onp\n8TXulSSYGHynpqbi22+/RUNDA/r164cPHz6ge/fuOHnyZIveGiZ+iGwvwtaoPACwcOFC7N69m6Kc\nBQcH06q3uri44PXr1zAyMkJ8fDyUlZVF3tD98ccf1IZeQUEB8vLy7VruZ1Mc+vTpg+XLlyMvLw+1\ntbVQUVHhGbt8+XI0NTVhxowZuH37NqSkpBhlq+hw5swZ/P3335g5cybc3d3h6OjYaqW9o8BNxT12\n7BhfWhWT/gQmYEL96mgw6ZORBNgU64qKCtjY2CA5ORlVVVV8PWfZFQZOpT462rKmpialoCzINJuN\noqIi9OnTB01NTbTXgLa2No9iJF3SigmYUMdnzpyJwsJCdO3aFQ0NDVBRUaFNsuTl5cHLywuxsbGQ\nlZXFmDFjEBwczEMd1dbWRkhICBYsWICTJ09ixYoVPBRrOkP033//nS/Nnyk4hTVev36N8vJykXuw\n2AqjgGCWCSC8fyU3BBnYnz59Gl988QVVKdLW1qYVcvvmm29QVFQEaWlpEEIgJyeHW7duCfEuBSMm\nJgaHDh2iRJv69+/fao9pax5/TMD+DgghuHXrFvLy8qj7kDNhDXyiQHJ6zNJRO5lSrCUBJj3swsLb\n2xv37t1DU1MTCCF49+4dhg4dimPHjlHf2cSJE7FkyRIMGDAAly9fRkZGBjQ0NGBlZSUWwbPJkyej\npKSECuj19PRa/UwrKysRGhpKK95jYGCAH3/8EX379sX8+fPBYrGgoqKCpqYmnj2nhoYGpKWlsWjR\nIsyZM6fVYoq4oKenh7Nnz+LEiROwsrKCqakpYmNjceXKFb5+rYDwvctMxu7fvx8XLlzAyJEj8fr1\nayxcuBDbt28X63tlgry8PCxbtkxklkOnrSxyBoSCFnsAlB+QMJl3MzMzJCUlITMzEwEBARg3bhzG\njx8PbW3tFsHFtm3b0KVLF9y/f5/iZjMxIG5ubkZycrJIgjQLFy7kMfimw/79+/HNN99g69at6N69\nO+rr67F//374+fm1WEiYZPOZSKVfvHgRd+/eRVxcHFRUVATafMTHxwstAS4sbG1tMXnyZKF6eiSB\n0tJS9OvXD9bW1igsLISSkhJtZTQ1NRUREREYMmQIzM3NxdL4DwAnTpzAhg0bcOLECcyZMwenT58W\nOVj88OED+vbtK5bz4wQnFXfEiBE8GzR2f8KsWbNa9CcwqeILgrDUr7agpqYGzc3NYrsGhw4dCmdn\nZzQ2NmL16tUCe4clAWlpaVRUVODjx4+UYEJFRQVfyqSwSn0AMwVlYWmYTBQjmYD7en327Bnt2ClT\nprToU6GrWB85cgQnTpxAr169EBAQgLFjx2Lp0qVYvHgxT7+1MFZSu3btgoaGBl9DdHGgtLSUyror\nKSmJpVIjLMsEYKa0yxmsNDU1ISUlBU+ePIGNjU0LtsWSJUvw/PlzqlL27Nkz2me2kpISdHV1qe9V\nHHL1wKfeXRMTE0Z/05rHH5M+Y86A0NzcnKJO88OzZ88QGhoq0OMS+JRcMTMzQ0NDAx48eICZM2ei\noaFBZL9TJkGoJFQ7r1y5Amtra/Tp0wcNDQ04ffo0LC0tkZ+fTwWLGzduxIEDB1BXV4eBAwciODhY\nrGymlStX8iQ4WkNrKq+EEMjKyuL3339HTU0NpkyZAnd3d75VOCcnJ8TFxeH8+fNISUmBoaEhXF1d\nRXpPwsDAwAD29vaQlZVFREQEFBQUUFZWJpCVVVpaCjMzM8jJycHc3FwgHV/YsVevXkVwcDAmTpyI\n5ORkuLi4tBospqWlIT8/H0OGDBHq+2oN7OcsIQSvXr0S2E4mLDptsMgvgxMWFtYig8MGE3laNm0m\nKysLjx8/xqNHj/Dbb7/h6NGjLTJkCQkJuHLlClavXo0ff/yRMd2jpqYGS5cu5cm60WVACCFYt25d\ni9ecnZ2FPl5mZiYOHjzYosfMycmJ54HGxA+RiVS6v78/Tp8+jcbGRkhJSWHlypW0noyS2NAx6elh\n8h0IC2dnZxQXFyMtLQ0DBw5EYWEh7WIzaNAgREREYP78+VTQKA5UVlZCX18fXl5e8PDwwJUrV0Se\n08jICHZ2dnBzc0O3bt1QVFSEpUuXYu/evSLJNfOjmXNuUNrSn8AEwlK/mCIxMRHOzs7Yt28fVFVV\nsW7dOooS29YNQ1VVVYs+GUEBmCQwatQouLi4oLa2FiNGjMCsWbPQ3NzMt3JfX1+P7OxsqKuro7q6\nmtZuCPhkj8QNuk2qsDRMJycnbN68Gbt27aIUI8UBzjWDxWIhODgY69evx/Tp06GqqtpiLHf1gFto\ng40ff/wR5ubm2L17N7UGnjt3DkuXLuUZK4yVlKQN0YODg5GTkwM1NTW+Ag9tARPaMBP/Ss7EZkND\nA1WF8fX1bREsbt68GZGRkQBaFznj5zvYnuA0Q1dVVRVI/WTSZ8y5Ln38+JEvG4YNCwsLFBQUQFlZ\nuYWXJz94eXmhqqoK1tbWCAgIQFVVlcjBIpMglEkPu7BwcnLCokWLIC8vj/r6evTq1Ytnb+jg4AAL\nCwuEh4cjJCQEK1euxPjx4yk/TVEhjjm4YWxsjCVLlkBKSgr+/v44dOgQrK2t+T7jXVxcYGhoiBs3\nbiAsLAzPnj1rl2CRbbVUXFwstG0Ud++yIFEoYccSQqhEcGsJ4Q8fPsDJyQnp6enU+jJ27Fj88ssv\nQidK+YGduAM+tQdt3ry5zXNRIJ0UWlpaZNeuXSQgIID4+voSNTU1EhAQQKKjo3nGLly4kFhYWBBz\nc3Mye/ZsYmJiInDu0tJSkpaWRj58+EC9lpmZ2WLMxIkTyfXr14mBgQH5888/iaGhIe18+fn5PD+Z\nmZlEVVWVZ6yRkRExMjIikyZNImpqatT/jYyMWvtIBMLU1JRcvHixxWvXr1/n+SzKysqEnrO0tJTc\nvn2b1NXVkYqKCoFjDQ0Nyc2bN4menh5JSUkhEydOpB178eJFoqamRnR0dIiqqio5f/680OdEB319\nfXL79m0yd+5cEhwcTHR1dWnHsj9vTU1NsX0HWlpaJDc3lyxbtoxkZ2eT8ePH046Njo4mX331FVFV\nVSWampokKiqqzcflhL29PTExMSFLliwhhw8fJo6OjiLPqaamRtTU1MiaNWtIQ0MDqaioID/88AOx\nsLAQaV47OztiZ2dH5s2bR3R0dMjChQtb/F5bW5ukpKQQXV1dkp6eTgghJD09nejo6Ih0XDbu3btH\n5syZQ27dukXi4uJIRkYG7dh//vmHBAUFkaKiolbnnTt3Ltm+fTspLS0ljo6OZOrUqcTd3Z3MnTtX\npNTfFs8AACAASURBVPMtLy8naWlppLy8XKR52oL09HSyaNEismbNGlJZWUlCQ0PJuXPnSFVVFc9Y\nNzc34uLiQn766SeipqZG1q9fTztva9cAJ7S0tMirV6+Ijo4OSU1NJdra2rRjk5OTyalTp8jjx4+Z\nvVEB4FwjjIyMqPVr+vTpPGPV1NSIqqpqix9+iIyM5Pt6Xl5em86RxWKR8+fPk7lz5xINDQ2yePFi\ncuHCBVJaWtqm+bixbNkyoqqqSgIDA0lQUBD58ccfRZ5TS0uLvH79mhBCyJs3bwSum1evXiVeXl5E\nTU2NWFtbk+fPnwt1jLq6OrJ9+3ZSXl5Ovvnmmxa/09XVJdHR0SQ7O5vk5OSQnJycNr8XSWPZsmXE\nzs6OjB07ltjb25MlS5bQjn3w4AF58OABCQsLI9ra2uTBgwckOjqa77V49OhRcuTIEXL06FFy8uRJ\ngevchAkThLq21dTUSFlZGcnNzSVjx44lDQ0NpLS0lKirqzN/41zzVlRUkMLCQuoZX1lZyfc8Hjx4\nQI4cOUIMDAzImjVrSH5+vkjHJoSQI0eO8PywWCxy5MgR2r95/vw52bt3r8A9UUfD39+fqKmpkYkT\nJ5JXr16RsrIy8ueff5KamhqesRMmTCCamprEzc2NREREtNhHf2549+4d+fbbb4mOjg5Zvnw5effu\nHe3YoqIiocZ6enoSAwMDsnr1amJgYEA8PDxo53R3dycWFhbk7t27JCcnh8THxxMbGxuybds2kd8b\nG61df8Ki01YWhcngsMEk8x4REYHt27ejvr4esrKy8PHxwddff82THZ49eza2bt0Ke3t7vHnzhlai\nG+CfxaPLurJ9it69ewcbGxtanyimWLZsGTw8PNC1a1fMmzcPeXl52LZtG9auXdti3Pr163n+lo7v\n/t133+HZs2ewt7dHr169UFNTQ6tIWl9fj/r6ehBCUFFRQdv3AXzqR1VRUUF6enqrEuDCgsViQVlZ\nGW/evIGenh5+/PFH2rHsz/zOnTvYuHEjbG1tRc6M6evr49KlS5CWlkZ4eLhANbEZM2YgMjISGRkZ\nUFNTEziWCXx9fXHhwgXY2tqiW7duYjOEDwgIwPbt2/H9998jICAAjo6OfG1JmEjrc9LM09PTeaqF\nXbp0gaysLKZOnYqSkhIAn7zNhFHDEwZMqF+urq54+/YtZs2a1WojeXZ2Nn7++Wf06NEDDx8+xKpV\nq7Bo0SJMnz69zecaEREBNzc3sFgsyMjIwMfHR2wUOGEwduxYHDt2DLm5uWhubhYoQvLnn38iODgY\nO3bswIEDBwRW9lq7BjghDA0T4PWsq66uFou9Aec6XVNTg9mzZ1OqmNw4ceIEJT5w+/ZtWjp6bGws\nYmNjW7zm4+PTZhl6SRuip6amCqXCyARMWCY2NjaYPXs2XF1d0a1bN9y4cYO2Xyo5ORlJSUlobm4G\ni8VCWFgYhg4dytOzZmhoiMGDBwukdH4uYEKrZFcLr127BmlpaUyePBlVVVV8xzo7O+Pu3bvIycnB\n6NGjBa5xwgrZ9O3bF2fPnkVlZSUaGxuxfv16sFgsvvoQTNHY2Ij6+nqwWCzq3/yeoZyqneICt14G\n8IlJcOnSJdrjsOnV4qBtSwoZGRnw9/dHZWUlBg4cCDk5OVrvRlNTU9y9exd37twBi8VCQ0ODWFqJ\nJAEFBQVs3rwZ6urqyMzMpKxh+EFJSQm//vprq3O6u7tDSUkJqampWLp0KVauXEk7NiYmBj/99BOl\nGzJy5Eh4eXkJjCeEgbA0eybotMFi7969sWzZMkq0RtADn4k8bVBQEL799lucO3cOLi4u8PPz47vo\n7ty5E/PmzcOYMWNapVvws2KgUwtkg/y/BLm4sGzZMgwZMgQaGhoAgGHDhsHT0xPz589vMY5Nz2lu\nbkZaWprA3oPs7GxcvnwZfn5+2LJlC1asWEEbLNra2iIxMRFVVVVYt25dq4IKbPlzcUHYzSQbjY2N\nePPmDbp27Yrjx4+jsrJSJMra/fv3qY1fYmKiQOsOzo1Meno6goOD4eLiguXLl4vU5zZixAixmERz\nY8qUKTh06BA2btwIMzMz1NfX8/3u2DTljx8/4qeffsL27dvBYrH4XgsPHjwA8Ok++Ouvv3hESNrS\nnyAp/P3337hx44ZQG51evXrh9evXlBeXoaEhoqOjRer7DAwMhJOTE2bMmIHY2FgEBQW1a7AYGxtL\nbfZ69OiBgwcPClyPm5qa8P79e/Tv319gj2lr1wAnuGmYdJ/nvn37MGPGDAQEBKCmpgb79u0TS7DI\niZ49e+LOnTsA+D97OOm5w4cPx+LFi/lustnCIk1NTRS1UFxQU1OjNqjscxUVTGwmhAUT2jDn2lZf\nX4+bN28iOTkZlpaWPJ6ALi4uIIRQ15+UlBQuXbqE3r17t6DxZWZmYt68eejbty/1nBdXAlfcYEKr\nJIQgODgYR44cASEEVVVVKC0t5Zu4CAgIwKlTp4RqIRG2ZWLZsmU4dOgQunfvjp9//hnBwcGorq6m\nVaUVFpIMQoUB3bUhzDUjrn57SSA4OFhoWrmfnx/luxwZGQkPD4/PNlj08PBAZWUlNDU1cejQIYG9\niMLaUUhLS8PGxgZWVlaoq6vDt99+C19fX55eYOBTa5C8vDxKSkqwadMmnD17FoqKimCxWCK9L2Fp\n9kzQaYNFJqI1TPD+/Xvo6+vj/PnzMDExwfHjx2nHtqZIxga/XqSqqiq+N19OTg6AT/LDzc3NyM7O\npsaJkt0sKCigAkV2c7uhoSEKCgpaXMSccspv3rwR2KOnp6eHlJQUyMnJISsri7b3BgC2b9+OoqIi\nWFhYQFNTs91FONibSTMzM3Tt2lUgH/zRo0fYu3cvsrOzYWdnBz09PWzfvp2Srm8LQkJCKFGL7t27\nC7T9EHYj8znAwsIC3bp1g6mpKa5du4bff/8dUlJSfAWM2D6kRUVF+Pnnn2FnZ4fKykq+fWjcqpfc\nSY229CdICsOGDYO3tzfU1dVbZLAJnx5XS0tLfPfdd2huboaGhgbGjx+PxYsXi5RVLi0thZWVFUaM\nGAEZGRmBVXNJwN/fHw4ODrCxscG1a9dw4MAB2gDM2NgYixcvppSTBVUhnZycWvS+cV8DnOjSpQs0\nNDTw9u1b1NbWwtPTE76+vtDV1W3xnUhSuIgf+FVh2PcBIQT5+fm0LAsmldWPHz/C19cX1tbW0NXV\nxenTp1FRUYGVK1fyKKdyolu3bmIT0OK2mRBFvI0Ne3t7jBkzRiijeU7l1KamJkhJSSElJQX379+n\nEg9sKCgo4NSpU1BSUqIqwfyC5tmzZ4v8HtoLTKyBli5disePH2Pt2rV49OgRZs+eDRaLxVfsKDQ0\nFAcOHICHhweOHz+O1atX0waL/Gw2+G2oV69eDUtLS8jKymLAgAGYOnVqG9817/ElEYQKi9zcXGzd\nulXstlcdDab9x3FxccjNzcWcOXNo+8wlhbCwML6vk/+3ceEEE6YLp49sXFwcbeLe3t6ex0Fg+vTp\nOHr0KOXhzsawYcNw5swZWFhYICMjA01NTQgMDBRZdIxzH89iseDh4YFt27YJ1CBpDZ3WOkNScvFO\nTk6Qk5NDVFQU+vbti9mzZ0uEHkCn4MrOXrBvTs6FVxRTTWEpgJzZ2bdv3yI3Nxfx8fF8/27cuHEt\nVJbMzMxofbVaEyyRNJqbm4X2vlFXV8fQoUOxb98+GBgYAPhEF1i/fj2tjUhrYPL+LSwshNrIfI5o\nbm5ulTZbWVmJiRMn4uLFiygsLMSOHTt4LFcKCwupf8vKyopNtZIJkpKSMHjwYAwbNgzFxcWorq7m\nm7D5+++/4evri7y8PJ6ECXdGubm5GVevXkVpaSlsbW2hoKCAzMxMoRNP/LBmzRqUlJRQgluEEIFJ\nLnFDW1sbt27dgpKSEoqLizFz5kzaKiCLxUJcXBz09fXRpUsXgWrLTK6BWbNmITc3t8W6CXwS0eA0\nvJ85cyZGjRqFvLw8yhNRUsbIdOBcC2RlZTFv3jy+VSDuyurZs2fx5MkTvnNu3LgRaWlpCAwMxJ9/\n/omzZ8+iX79+0NLSohXsEje4bSa0tLREVvzlt/ETxui8rq4OTk5OCAoKwpw5c3iCRWHBTzWUX4Wg\ns8HIyAi7du3CzJkzkZ+fj8OHD6OxsRHOzs48bCI9PT3s2LEDXl5e8Pf3h6enJ60MPztgZ7FYiI+P\nR1xcHE6dOsUz7uzZswgLCxPKzowp8vLyqCC0vSEp26vOBCaVaEmAjnrObw+tq6uLn3/+GWvWrKHY\nUUlJSa0e482bN1i0aBHfirGuri527twJRUVF1NXVYd26dQgODsaAAQN42CFHjx6lBLt69+6Nx48f\nw8DAAIGBgTxsCCaQxH670waLDg4OFJVLRkYGlZWVuHfvnsjzVlRU4Pnz57h//z50dHR4MgFtgaCH\nNXew+PjxY9qxggyBW4MgGgRn5ZPtX8mmPq1fv55WUjk6Opqid8jIyFB9ofzAnpfFYuHNmzcYMmQI\nwsPD+Y4VRJVs6wXPxPtmz5492Lx5M4/5dWxsbJspa0zef2fGkiVLYGRkhNWrVwsc5+joSCUhzM3N\neZIMktxMCIMzZ87Ax8cH/v7+6NGjBzZs2IDGxkZs2bJFpOycoAdRWysxVVVViIqKgq2tLeLj4zFu\n3DjIycm19RQZw8HBAYqKipg9ezbCw8Px/v17sRm9Cwt9fX0cPHgQgwYNQk1NDebNm4eIiAj06tWr\nBSWnLZ51wkASCsrcm5758+fTqsfq6+vjzJkzUFNTg6GhIYyNjbFmzRrY29sjISGhTcdnCs7Aqqam\nBqtWrcKFCxegpKTUZmVU7s+gZ8+etAEzHRobG9G1a9tIVMJSzzobPnz4gObmZuTn52PEiBECq8++\nvr4oLy/H9evX0a1bN3h7e8PKyqrVYxQUFMDe3p5voK6rq4spU6agpKQEJiYm+OOPP8TCDOvo54aW\nlhalYP7u3TvMmjULaWlp7XZ8SaKqqgoxMTEoKirC0KFDYWpqCllZWZ5xRkZG2LFjR4tK9KNHj9rt\nPNXV1REeHs6XeszN6Pr+++9x8+ZNWFpa4ssvv0RFRQXt/nP69OnUWvDhwwcMHjwYN2/e5BmXmJgI\nLS0tVFdXQ15eHmlpabR799raWmp97tq1K4yNjVFdXS1Q00MYSGK/2WlpqNXV1RKRi8/MzIS0tDQl\nbvHo0SPo6uriyZMnbd7MselEhBCUl5dDTk6OohhyB4v8YnddXV0kJye36dhsyMrKIjo6GkuXLkVl\nZSUGDx7M9wHBSX3KyMjAzp07aYPFrKwsZGVl8bzOb4PEOW92drbABt6rV6/iq6++atEL2tTUhKdP\nn7Y5WGTifbNlyxYcO3aMqkI6OztDVlZWpN4m7vcvSsDxOYE7+DE3N4e/vz9UVFQE9oUePXoUkZGR\naGpq4tvPcPjwYYnQzIXF2bNnsWvXLlhZWWHu3LlQVVWFvb09Tpw4wfPdcUrWq6ioYNu2bRg0aBDf\nefnRtERlDjQ1NeHly5dwcnKCqqoqxo8f36Z52gpPT0+4uLhQyaP2qmRx4uLFi6ivr4eysjIIIbhz\n5w7f/ilDQ0MoKSlRggat+cEJC/b93dzcjPLy8hZCCW0NFjnZBK1VVlksFnr37o2srCyUl5dj6tSp\naGhoENgaIG5wC7lJSUnBxMQE06ZNazM1mr3RJoTgxo0byMjIYDxHWwNF4D96AywWCw8fPsSLFy/a\nPNfnhISEBL5CfvzApIWEuxJMp8vAxM6MCTr6uSEp26uOBnvP9s8//1CvDR48GKdOneKxqGEiZigp\ndOvWTWCrDxve3t6wsLAQiuliZWVFCZM9fPiQluHQq1cvmJub4/3791BSUhL4PGSzRth7TX19fbF8\nXpLYb3bayqKkwI8GmpycDD09vTY9qLiRkJCAkJAQBAYGtuvxTUxM0LVrV4wePRqjR4/G06dPeZTf\ngJYZ8pycHCQmJiIxMZHvnFOmTAGLxUJFRQX69OnTokFbUCWzrKwMx48fp83gqKurIykpqUV1pKqq\nSqTPwMDAACdPnoSGhgYyMzOxfPlyPHz4kO9YNzc33L9/H1paWkhNTcXUqVPFSpktLS3FL7/8IhGx\nmfYG9/XKBr/gh0lVTVI0c2ExduxYxMTEQEpKCkZGRnBzc4OlpSWmT5/OQ7Fcvnw56urq8Pz5c2hq\naqJ79+587y3gPzQtQghu3bqFvLw8qj+T0/yaCdatW4cXL16goKAAQ4YMwZgxY2i96CQFQgjKysqg\noKAgFn89plixYgUSExOxatUqKoHIT4nT3d1daEGDtoCtYi0Mlak1FBcXIzw8nDKEF1SlZKvfsVgs\nvHz5EjExMbC2tsa4ceNw5MgRkc9FGMTHx1PBIpt+tWfPHvj4+CAlJaVNc9bX1wP49N4fP34MV1dX\ngewbSYJNXRY1cSsp8KPMssFNnTUzM4OlpSUl5Hfu3DlaaikTpg93JZhNreOGpJhhHf3cuH37Nlxd\nXdHQ0ICuXbsiMDAQ5ubm7XZ8ScHR0RG9e/fG5s2bMXjwYBQXF2P//v1gsVg8LQ9trUSLC+rq6oiK\nihKqV5QttsdO9LIZJ60hLy8PS5YsQUxMDM/v5s2bh+HDh8PCwgKRkZF48+YNQkJC+M4j6b0mIL79\nZqetLHKWhLlBt+gJA+4sFCEEvXr1Eik7xRatAYB//vmHRw5d0PEBiHx84FOwFRYWBg8PDzg4ONCK\nGvz+++/U5yojI4MNGzbQzvngwQMUFBTA2toaX3zxBYKDg4XqLVNQUBB44Xbt2hXV1dUtgsXy8vJW\nVWcFwcLCAo6OjtRNKUjUITo6Gr/99hvU1NSQlZUFBwcHkW9gTinj1sCkQbujweS6pKtQ8wsshw4d\nCmdnZzQ2NmL16tXtLoikpKSEa9euobKyEoQQGBkZwd/fn+8DiIlkPWdAaG5ujkWLFol8bSUkJODo\n0aPYsGEDTp48CRsbG5HmY4oHDx5g27ZtKCsrQ58+feDj40NbVWay8RR0z3Db+fz1119C2TYwETRo\nC4RRsU5OTkZgYCD27t0rsLK5du1avHz5EvLy8tRrdMGip6cndu/ejaqqKgQGBqJPnz6YOXMmjzWS\nJMGp8lpbWwtdXV1YWlqiurq6zXOOHz++xec5YcIE2rHZ2dn44Ycf0K1bN+zbt09sCphs2whVVVXc\nunVLLHNKAvwsutjgXl+ZCPm9fv0aFRUVyMnJwYgRIwSKw3FWgm/dukWbaJYUM6yjnxvctlftpcIq\naaSlpeHatWtU0mHo0KFwc3Pj+6zpaDHDOXPmCN0rvXPnTirRmpubi9evX9MmWjmfR+/evaPdj756\n9QrHjh2jKNCCkgWS2GsCn1h/bm5u1Lq1d+9ekefstMEiuyQsbkhJSSEtLQ3Nzc2ora2lMqOWlpZt\nntPS0rJF9UXQxcNPGCI1NRWEkDZXHoBPIhQHDx5ETU0Njh49SltuZyIEcPr0aRw7dgxffPEFevfu\njYULFyIqKqrN58iGhoYGvL294ejoCAUFBZSUlODw4cMiScdze9/wU+tkQ1ZWFuXl5QA+cdMFUROE\nBbtvisVi4fnz5wIfuO7u7nxf/xyDRSbXJJPAkok3qiSwatUq7N69G4QQzJ07FyNHjsTdu3f5MgKY\nSNZz9gd//PgRKioqIp+rnJwcUlJS0NDQgCtXrvDQgiQNDw8PGBsbw8zMDHfv3sW+fftog0UmFPPk\n5GSYmZmhoaEBDx48wMyZM9HQ0IA///yTZ14mtg3CWncwARMV6507d0JZWblVmlRhYSHu3LkjlFDH\nl19+iaNHjyI3N5e6J+nWEUmBn7eXs7OzSMkLzmtCRkYGU6ZMoR27a9cuyMrKorGxERs2bICmpibu\n3r2LtWvXYtGiRW06fkeLdTABmzJbWloKT09PHD58mNaia+LEiQgJCUFtbS2WLFkiUDTo0qVLePHi\nBRYuXIjGxkb4+vpCWVmZ71jO/UtlZSWtMNu1a9cYvDPhIakgVFhwMrPYLTri9HHsKPTo0QMZGRkt\nKtQ5OTl81zDOz4CzqitK/zYTTJw4sUVBhhBC9dNzX+dMEq2cve9ffPEFFi5cyHfcyJEjceLECUpA\nTZCLAedes7y8XCx7TeDTM2bQoEHIycnBoEGD4Obmhj/++EOkOf9HQ+WCsbFxC142G1u3bm2ziTmb\nhiElJYUePXoI3EwyUXJiAk1NTfTs2ZOybli6dGkLe4K2VGonTpyI9evXY9GiRWhqasL69evFItuf\nkZGBVatWUd+DlJQUhg8fjqCgIMr+Q5I4evQofvnlFygrK+P169f47rvvsH79erHNn5eXhwULFtBm\nXZk0aHcmREZG4ubNm3B2dkZVVRUGDx4s0GD8w4cPePv2LYYPHy6SD2FbkZeXh/LycowdO1YgtTIu\nLg6pqak4f/48dHR04ObmRvu+jh07RiWOevbsCQsLC4Em18Lg+vXr+Pvvv3Hu3DmoqKhg//79YhFt\nERbGxsa4dOkSRU+aP38+7t+/z3csE4o5e2xVVRWsra3x+PFjVFVVQVdXl2ctnDx5MkpKSqj+Tz09\nPZ7qI8BM0IAJmKhYc4pgCIKPjw+GDBkCQ0NDKrim23gw9bqUBDiDqIaGBkRHR0NfXx+ZmZm0lH9x\nQltbGzdu3ICsrCzMzMwwcOBA2Nra4tSpU7RrbWvoaLGOtqCwsBA2NjYC7xcmQn779u3DpUuXYGRk\nBHl5ecTHx9OKJnHeB+xEG79Kyb9VOIidDGxubsaHDx8wfPjwz7oaLSyCgoLw66+/Yv/+/bC0tERB\nQQGsrKxga2vL4xE7ZcoU2r1ke3iUcu+hBbVymZiYYP78+Thx4gSWLl2KBw8eIDQ0VKTjJycnw9nZ\nGRUVFZCXl8exY8doLX8ktdfU1tZGcHAw1qxZg/DwcFhYWDAWBuNGp60s8ltskpOT+S6MTNDY2Eht\n1KuqqmBkZIS0tDSRKJAqKioteNEjRoygLZNLSjkrLi4OPXr04KteBYCqnKanp6OsrAyGhoZISkoS\nSKNgL4JPnz7FiBEjxNYbo66ujtu3b+Pvv/9GUVER+vXrB11d3XYzrXVxccGIESOQlpaGlStXis1Q\nlv0A6dOnT6tqocI2aHcm7NmzByNHjsSBAwcwYcIE3Lt3jzbbFRERATc3N7BYLMjIyMDHx6ddjeYL\nCwtx4MABoURrJk+ejMmTJ8PFxQUlJSWIioqirWQ4Ozvj/v37yMzMxJgxY0QOFAHA2toaVlZWcHV1\nFVtmkgmMjIzg7u4OExMT3L9/HxoaGlSDPVuVjY22UMyFyWeuXLmyhW2DtrY233FMBA2YgIk8vq6u\nLuzt7TF8+HCeJARngMs9p6CEIROvS0lBEt5eTNC/f3+Eh4cjLCyMSox27doVzc3NbZ7zcxDraAvo\nklvcLQ5jxoxBZWUlwsLCaKuLsbGxOHLkCExNTQFAoGchmz3S3NyMP//8E8XFxXzHeXh4APh0nTx+\n/BgfPnwQ+H6ERUcHoZzB0IMHD2hbSjobXF1d0a9fP4oJM2TIECxdupQvzb2tNjXiAucemhCCwsJC\n9O7dm+/e2tXVFc+ePUNdXR1iYmKwf/9+kY+vq6uLe/fuITc3FyNGjBC4Zkhqrzl8+HDcuHED9fX1\ncHNzg76+vshzdtpgkW2QyQlZWVmRzVeNjY1RX1+P7t27Q15eHt7e3iJv2pnwon/55Re+r4tawr92\n7RqePXuGmTNnwt3dHY6Ojli1ahX1+02bNgEApk2bhjNnzmDYsGEoLCwUaAL/8OFDoRXVmKCqqgpx\ncXGUsENRUVG7BYrAfx6ompqaaGpqEvggFRaPHj2Cq6srysrKoKioiKCgIHGcaqcCIQT79+/H3r17\nMX/+fNprHQACAwPh5OSEGTNmIDY2FkFBQe0aLLq7u6Ourg55eXmQl5fHtm3baEVriouLERUVhaio\nKKSmpkJRUZE2WAwODkZgYCB69+6NyspKbNq0qUWFnwliY2Px+vVrnD17FtevXxfZ066tYN8vnNWj\n2NhYEEJ4gsW2Usw5N7/8NsJLlizB8+fPqTXj2bNnfNWrZWRkMH36dOHfnJCYMGGC0D6u/v7+OHv2\nLPLy8gQGMkwC0Pz8fCxfvhxKSkro168fLl68yPg9iApu1b+hQ4fit99+o4KMtqC8vFwgZZ8TdnZ2\nCAgIwNChQ3Hz5k38+OOPOHbsmMC++9Zga2uLxMREVFVVYd26dfD29m7zXO0FRUVFiuHTpUuXFvcB\nm5rMqcQMfLIkoXvG3bx5s8UeaPfu3bTH5hynoqKCkydPUoEhJ+zs7Kh/Gxsbi40uKqkgVFiw6eiE\nEBQVFQnUp+hsmDJlCrKysiAtLY1Ro0bB1dWV7zg6pgYhBL6+vpI8RQBoYWfBbiXbv38/DAwMeJKz\nNjY2Yk+08uu158dyAT4lVaqqqtDQ0IDa2lq+YoFtgY+PD1JTUzFmzBiMHj1aLL3rnZaGmp2djfj4\neFhbW6OmpgaKiopiqcSoq6ujZ8+eOHLkCMaNGydypRL4tJFg86JDQ0NhY2NDWxLm7Gnihigl/ClT\npmDDhg0ICQnBuHHjcOPGDb7UHGNjY8yYMQMmJia4c+cO7ty5Q5spYqKoxgQrVqxosfEUlYLLFNw0\nBllZWR7TeKawsrKCtrY2wsPDMX/+fMTFxdH28Lm5uWHLli0dYkQvSaxYsQJNTU2oqKhA//79kZmZ\nSXktckNbWxtXr17FiBEjkJubizlz5tAavUsC2tralGjNjRs38PXXX9MqOmpoaEBaWhqLFi3CnDlz\naKnkADB16lS4ubnh66+/xq1bt+Dl5dXmTCwhBKGhoXj79i2cnZ0/m0p0QUEBrXF5ZmYmRTFnPxjp\nKObff/89vLy8IC0tjb///hs6Ojqor6/HTz/9xBMAuLq6IjIyEoDoViRtARMfV+A/LANB9zi7B/Xl\ny5cYPXo0FixYQJs0+xy8LtnPLn4WUW19do0fPx7Tp0+HnZ1dq9nxxYsX4/379yguLsaFCxfEf7tj\nUQAAIABJREFU1rJQVFSErKysDhHrYIqsrCyKDcFPPKm+vh5SUlJwd3eHjo4OZs+ejT///BPJycli\nCYS5K3smJib4+eefW/27p0+fit0P8c2bN/jmm29Ept8xATcd3dTUVCytOR2NsLAw7Nixg3pvXl5e\ntMkF7gQhJzgtHSQFfjRUKSkpjBkzBtevX2/xOyaBHSCc1ySbjs+pT0HHoGL63GgL0tPTcevWLWzd\nulW0iUgnxcyZM4mWlhbZtGkT8fX1JevXrxfLvGpqamTjxo1EU1OTXLhwgaiqqoo8p7GxMTl69CjR\n0tIigYGBZO7cuWI4U2YYP348efv2LdHS0iIZGRlES0uL77jbt28TPT09oqamRnR1dUl0dLTAORMS\nEoiuri7Jyckh+vr6YjlXPT098vz5c8Jisaif9gT7mJWVleTmzZvE3t5e5DnHjx9PHj9+THR1dUlB\nQQHR09OjHVtTU0P8/PyIo6Mj8ff3J7W1tSIf/3OAvr4+sbGxIXPmzCF2dnYkLCyMduzq1avJvHnz\nCCGErFq1ijg5ObXXaRJCCDE3Nye+vr5k/PjxZNu2bWTx4sW0Y4OCgoitrS3R1NQk8+bNI4GBgbRj\n2fcKIYS8fv2a6Orqiv3c2wvTp08nFRUVhBBCGhoaSFRUFHF0dCTq6uoC/47FYpEnT56QmzdvkoSE\nBFJfX893XHZ2Njlz5gwpLy8nBQUFAtcB9lqVnZ1NcnJyqM+4vWBgYEAePXpECCHk8ePHAtfChw8f\nEgMDA6KqqkqMjIyov+OGu7s70dLSInPnziU6OjrEzc2Nds6XL18Sc3NzoqamRszMzMiLFy9Ee0Mi\nIj4+nri6uoo8z5kzZ4idnR1RVVUlM2fOJCdOnCBlZWV8x4aFhZF3796RiooK0tTUJPKxCSHkyJEj\nPD+fK86cOUPU1NSIqqoqUVNTI2fPnqUdq62tTTIzMwkhhGRkZIhtHXrw4AH1k5SURHvPss+T80cc\nyM/Pp37y8vJIenq6WOYVFklJSdRPWlqa2K7DjsaMGTPIqVOnSEVFBTl16hSZPn26wPFNTU2ktLS0\nnc6uJTj3jaWlpURNTY28ePGCTJgwgWfspk2byKZNm8iGDRuIiYkJWbVqFe28r169IlOnTiVqamrU\nj6mpKcnNzaX9m7dv3xIDAwPa3zN5bjBBSkoK8fb2JqampkRDQ0Mse9hOS0MtLi7G1atXsXv3bjg7\nO4uNxkAIwZ49ezB69GixyM0CkuFFM4W6ujqWLl2KsWPHIjo6mlaCfPr06UhMTMT79+8pZUE6TJw4\nEVeuXBFKUY0JLCwsUFBQAGVlZZF6RdsKdoWme/fu0NbWxokTJ0SeU11dHZcvX0ZdXR1WrVolkAq3\nZ88eynsnNDQUJSUlYvfeaU+wad3x8fEtvk9BfmV+fn6Usu6SJUswbtw4iZ8nJ3744QekpqaiR48e\nqKysFEifcXFxgaGhIW7cuIGwsDA8e/aMlqIzdepUrFmzBpMnT0ZcXJxAdcfPHbW1tfD29oaioiLC\nwsJQVVWFqVOnCjTY5mdQPGnSJL5j165di+LiYqSlpWHgwIEoLCyk9UQ0NDTE4MGDBSrPSRKEEIoG\n3BodeO/evZgxYwYlPODh4cGXZRAdHY3z589DQ0MDWVlZWLJkCW31Z/To0YiKisLHjx/Rp08f0d9Q\nG8DEIkpYLF26FFOnTsXs2bMxa9YsnD17FgcPHsSMGTN4qPxz5swR+XjcYFdCOAVLPld1y19//RU7\nd+7EwYMHsWfPHnh5edHazxgaGmLRokUYNWoUXr16BQMDA7GcQ2VlZQsRs3/++Yev2Be7jai5uRkx\nMTFi6d0G+NuHtCfDQE9Pr92O1Z4oLS2FmZkZ5OTkWvWmffjwIVxdXVFeXg5FRUUEBgbybQmQFLp3\n707Z3aioqCAjIwNNTU349ddfecZy9llnZ2cLFDvz9vaGlpYWj9ekt7c3j/VMUVERBg0ahC5dugjU\np2Dy3GACBwcHdOnSBYsXL4aTk5NYWGqdNljU19fHpUuXIC0tjfDwcEhLS4tlXjZ9wNnZGV988YVY\nRFtsbGwwe/bsDhOgAD4ZpV64cAG2trbo1q2bQGXXLl260Ip5cMLf3x/Pnz/HoEGDWlVUY4Lw8HAe\nukJ7LviJiYl49OgRLC0tcejQIWzcuFHkOf39/ZGeng4WiwUdHR1a2WVAct47HQW2lHWfPn1QXl6O\nq1ev4sqVK8jJyaH9XqWlpfH69WusXLkS6urqAv3VJIHJkyfjq6++wtSpU1tVYzUwMEBdXR2sra3h\n5+cHQ0ND2rEeHh7w8/NDUlISdHV1sW3bNkmcfrvA09MTnp6eKCkpwYABAxAYGAhTU1OBPRfs+7q+\nvh6VlZVQUlKi3XwzSQhmZmZi3rx56Nu3L5WQaA/lPTaY+Ljm5+fDw8MDt27dwvLly3H16lW+47p3\n747s7GxoaGggIyMDXbvSP66Z0qkkASYWUUzAntPZ2RmjRo2Ct7c3IiMj26XvuzMJllRUVFDP7db8\n/fz9/XHx4kW8evUKZmZmWLx4sVjOQVgRswULFlD/njx5Mq0HL1Ow7UNYLBYePnyIFy9eiGXe/3bo\n6elh69atMDMzQ3R0NK26J/BJPVeYZJikQGd3M378eJ6x7OcRIQTp6el4/fo17bzCek36+/sjPz8f\nhoaG2LVrl0DbHibPDSbYs2cP4uLiEBYWhvDwcBgYGMDf31+kOTttsBgbG0tlLhMTE+Hg4CCWeW/f\nvo2KigpUVFRAV1eXVtSCKaSlpTssUAQ+bTzGjRuHIUOGIDQ0FNOmTRM5kyEvLw8DAwOxZSXZ4JZi\nbm+wF7uAgADU1NRg7969iI6OFnnecePGURWy9+/fU69z93dJynuno6CgoIBNmzahT58+iI6OhoKC\nAiwsLODn50f7N3v37u3Q6mpkZCS2b98ulBqrqakp7t69izt37oDFYqGhoYFW1UxOTg6LFi3CpEmT\noKKi0kIVVJyora2Fk5OTRAOGGTNmYNq0aYiNjUVISAjWr18PBQUFzJw5Ezt27OD7N5yb75SUFIH3\nOpOE4OzZs9v+RsQAJj6uwrIMvvvuO/z444+YPXs27t69K3BOtgdYU1MT0tLSRPKkbSvYgjzCWEQx\nQXFxMZqamjB16lRUVlZi2rRpfJNtL168EItvKSc6k2CJmZkZIiIiUF1dDQcHB1p2A/BJbVtXV5f6\njtLT08VS/SFCipixBfUIIXj16hUaGhpEPjbQUvNBRUVFbGyn/3Z4enpix44dlJbHnj17aMcKmwyT\nFEJDQ3HgwIEWdjd03qicgpgyMjICxeaE9ZoMCQmBl5cXjh07hs2bN+P48eP44Ycf+M7p7u6OgQMH\nIi0trdXnBhOYmJhQyUVBuiNM0GmDxT/++APDhg2jfAPFJe7Q0TQGSWHbtm1QUlJCYmIiYmJicP36\ndYSEhHT0afGFtbU1/vnnHzQ1NaGurg4eHh7Q09OjFc0QN96+fQsHBwdYWVnh3LlzLbKgbQW/64pO\niMPe3h6rVq1q4b3TmREYGAgvLy8kJCRgwIABWL9+PWbOnCkwWdHR1dWAgACh1Vj9/PxQX1+P+/fv\nIzIyEh4eHrTB4tmzZ+Hj40NVS9zd3WmpYqKgqamJ8neVJKSlpWFqagpTU1OUlZXh2rVrQpv/Dh06\nVCBtlDshKKga39Gbwq5du0JdXR1SUlLQ0NAQWAUUlmWwbNkyWFlZAfgkhCAoacSETiUplJSUtKAg\n5ufnC/RRFQbffPMNxV6ZP38+FixYgAEDBvAda2Njg3HjxmHBggWwtLSktYliAu5qqSjKrpKGl5cX\nsrOzoaOjAx0dHYFCW5s3b5aIIJS6ujp27NiBiooKuLu70ybDSkpKqH8PHjwYW7ZsEfnYbLApiKqq\nqu3ucSjovuvM7KBBgwbxpXHyA5OWG0mAid0Nt++iIHzzzTfYuHFjC69JFxcX2NrathjHYrGgrKyM\nN2/eQE9PT6DA0fv37zFs2DAsXrwYoaGhKCoqEnnNBD61u3Tp0gUODg64cOGCWNp4Oq0aKr/eF3H0\nEsTHx4MQAkII7t27h4aGBrH1LnYkxo8fj5s3b2LRokUIDAzEihUrkJ6e3tGnxRcLFizge25Hjx4V\nG9VVEGbOnIlRo0YhLy8Pc+fOxdWrV3lUtJhCECWOnwLujRs3kJaWhnHjxonNe6ejkZWVhdDQUFy/\nfh3V1dWYPHky7UI6efJk+Pn5YdKkSXj06BG+//77dqUVMlVj5dyg6Ovr0yavjI2N4eTk1KKvSNT3\nxW+DUl9fj5s3b352ia7i4mKEh4dTFhcA/br9/PlzoROCHe2v1hZLlNraWty7dw9RUVF8e4CmT59O\n6zHJrTrNTae6fft2uyQLODFp0iSMHDkSMjIyrfqoCgtHR0csXLgQ06ZNa7XV5M6dO7h+/TqioqIg\nLy+P2bNnw87OTqRqI+dnKCMjA01NzQ7poxcGTPZEenp68PHxwZdffkkFwiNHjhT5HCZNmgQlJSXK\n79Te3l4ivaR0oKMgthfYSqD19fXIysqiFF4JIfj999/b7Tw6EgUFBZQCJzsZ1p5K3T4+Pvjw4QOu\nX7+Obt26wcvLS2zMk9OnT8PIyAhjxowBIQQHDx7E2rVrISMjQ41ZuXIlnjx5An19fWhoaODt27e0\nFNClS5dCSUkJMjIyiImJwaBBg8RSxDl48CAiIyORn5+PsWPHwtjYGGvWrBFpzk5bWZRU47mRkRH1\nbwUFBTg6Ov4rgkU5OTmKN56XlyeWhld+Dyc2RPkucnJy4OvrC0VFRdTV1WHdunUIDg6mzSiLG25u\nbjh06BBcXFzQu3dvHDhwQOQ5BVmicKOhoQGVlZVoampCZWUlGhoa2tVnUlJQVVWlbEHu3r0rcCPZ\n0dVVAwMDbN68GVeuXIGvr69AqjWTDQqTviJhwa/PoqmpSSxzixtr167Fy5cvIS8vT73GvVakp6cj\nNTUVpqamcHNzQ05ODr788kts3boVw4cP5zsvZ69SYmIiXr58Kbk3wQfnzp1DYGBgC0sUumAxPDwc\nt27dQlxcHGRlZWlFjqysrFBWVoaQkBBMmDABOjo6tMdnQqeSFISlIDJBUFAQXrx4geTkZNTW1sLT\n0xO+vr7Q1dXlCR6nT5+OL7/8Evfu3cOWLVsQEhKC8+fPY9y4cbh8+XKbjj9gwACkpaWhubkZtbW1\nWLBgAXx8fGBpafnZWNWwwaQfWFKCUHFxcR0aTDOhIEoC7O/g3bt3sLGxaReriM8NBQUF6N+/P9Wr\nl5qa2q4CN25ubigqKoKFhYVY7W7KysowbNgwDB8+HJWVlZCTk+NL9T5w4ADCw8Nhbm6OLl26CPSJ\nTUtLo4o4hw4dEqglwgQbN27Exo0bkZmZicjISFy9evW/N1iUVOM5d4ZaS0tLLPN2NBYvXoygoCCs\nWbMG9fX1AvsZhAVnwF5eXo7+/fsD+EQxESVYPHLkCLS1tSErK4uGhgZ4e3szCrZEhYmJCUxMTNrt\neNxgN4SPHDkS169fx7NnzzqFGbQw4KzAcSuIccLFxQXKyspITU3FypUr2726yq3GKsgDjMkGZcaM\nGUL3FQkLfhuSqqoqgSIEHYXCwkLcuXNHYOJn165d0NPTg6urKxobGzFlyhQ8fPgQ33//Pa5cucL3\nbzq6V6m2thZqamoAADU1NdTV1dGO3bJlC6VUt2bNGlr10o0bNyIkJAQ3b95Eeno6lixZgpkzZ/Id\ny4ROJSkIS0FkggULFiA3N5eqfhFCsHTpUnh5efHQvzhhamqK8vJyvH37Fk+fPm3z8ZctW4Z//vmH\n+j+bOv7hwwexbezEBSb9wJIShFq+fDnPa+0ptMSEgihJsNlp/41YtmwZRd1mfwbtzXAZNGiQUCKN\nTPDdd9/h2bNnsLe3R69evVBTU4Pdu3fzjFNQUMDSpUuFmlMSRRxOqKmpQU1NTSz7jE4bLEqq8ZxT\n0vn+/fuf5YarLVi9ejUWL14sVnle9sOFnUWLi4tDVVWVyPLRmZmZOH78OJqamtDU1ISUlBSEhobC\n29tbbNWYzxlMJPM7E5hShKysrKierfbG6dOnAfynev7XX3/RJkCYbFC8vb2pviJtbW2xGYfzgyBV\nUkmhuLgYSUlJePz4MZKSknh6hqytrREREQFDQ0Nqk8pd3cjJycGxY8dw/fp1hIaGYujQocjPzxcY\nHGRnZyM+Ph7W1tbo0qULbty4If43JwBMLFFOnjyJBw8eICEhAb/99hvGjh2Lixcv8oyztbVFbm4u\nnJ2dIS8vj++//542WMzNzcXWrVuRmZkJdXV1+Pn50VZhJYWMjAwMGjQIUlJSqK6uFksfWnl5OU6d\nOoVBgwahpqYG8+bNQ0REBN97rKmpCenp6WhsbISJiQl69+6NuXPnCux1bQ2NjY0IDw/HsGHDUFVV\nBSMjI6SlpX22VFQ2WusHlpQglLBCS5z3a01NDRQVFcVSqbW1tUViYiKqqqqwbt26dn9usoVESktL\n0djYiPv371PrcGe2SWICdvDDYrEQHx/fru0jkkR2djYuX74MPz8/bNmyBStWrOAbLDKBJIo4kkKn\nDRYl1XjOKWZiZGQEe3t7ODo6imXujgR3XxMhBJ6envDw8BC58Zo7iyZqRu3w4cPQ09ODnJwcGhoa\nICUlhYEDByIlJeW/IlhkIpnfmdDRFCEmYELpYrJBSU5ObmHLMn/+fBgbG4v9/Hv37t1u1aarV69S\nAWJ+fj4AQFlZGdra2jxj2YqZbPAT1pCXl0dCQgJmzJiBy5cvUwGmoA2us7Oz0J6MkgATS5SePXui\nR48eVJ8LZ/8mJ0aOHImff/6Z2oD37NlT4PFlZGTw/fff4/bt29i5cyfPZy1pcPuoigOXLl3CF198\ngW7duoEQgjt37mDIkCF8x06ZMgXl5eUYP3487O3tYWFhIXIAEh0dTX3uCgoKn0UFlw7cz3hBlV1+\nlfeCggIAvOrcTCCs0JKk7tft27dLhIIoLLjp36tWrQLAf537t4Kz91VOTo5KvHZ26OnpISUlBXJy\ncsjKyhJLq4ckijiSQqfdhXI+CGVkZPDVV1+JZV5OUYHy8nKxKBN9DuDua2JXTwX5yggLbl9GUSsa\ns2fPxqZNm9C3b1+wWCyxBLSdCUwk8zsTPheKkDBgQuliskHhtmXZt2+fyMEiP3EXNtpjg+Lm5gZC\nCEaNGoX9+/djypQptH0awgQwCxYswK5du6j/Hz9+nKI00X0PTDwZxQn2Bhv4z8YQ+NSbSrdZt7e3\np2iox44do71e7OzskJubi9zcXACf+ueSkpIAgKcHKDU1FRERERgyZAjMzc3F5tfFBElJSTh9+jRq\namqo10SlIK5cuVJokZ8ZM2Zg4cKFAlVAmUJQgP65gf0sZ7FYePPmDW1QDTBT52YCYX3rJHW/cuoo\ncNKPCSFYt26dWI4hCHfu3JH4MT53ZGZm4vHjxzA3N8fZs2dx7Nixjj4lseDRo0fUvuDevXswMzMT\nec7MzEy4u7sjJycHKioq2Ldvn9jtf8SFTquGKikEBQVRi2j37t1hY2Pzr6pmlZWViZ0XzQk2bUcU\nBTR+/adWVlYIDw/vcIn89kJpaSn69++P2traTu+zyIavry/Ky8splTJvb+8Oo5kyQXFxMfbu3Usr\n6ET3Or8NytixY3H79u0WtiyiqhJfvnyZqu7HxMSge/fulFCXnZ2dSHMLgzNnziAuLg7Jycmor6/H\n2LFjYWRkBENDQ0yYMAHAp8RbRkYGdHR0cPnyZUq0xs7OroWSHBvZ2dkoLi5Gc3Nzi9fpepdXr16N\nkSNHIisrC1paWjh9+jRSUlLE/2a50JZA/cqVK7h16xYePXqEfv36wdjYGPv27aOdmzv5xm9DP2vW\nLMybNw/z589HSEgIQkJCKGuE9oKpqSkUFRUpBVugZaWpLWA/j5ubm5GQkAAFBQWKus326mNDUgrp\nnRHZ2dlwdHRETEwM3997enqiuroas2bNQkxMDMrLy6m1QhR9AM5AnS20tHbtWp5xkrpfBZ17e9Ah\nIyMjW9jHDB48+F9TcBAW8+bNw7hx4/Dhwwe8ePECwCdRr86O6OhoKhaQkZGBsrKyyIWR+fPnY8CA\nAUhISICxsTHy8/NFVpCWFP4XLHIhJycHcXFxYufSdzTYAhHsICQgIECgwqMwkNTCyJ0ZJoQgOTkZ\nenp6nzUNSFxgIpnf2VBUVISsrKwOoQgxQWFhIXx8fCgxnq1bt9I2zE+ZMoX2++LeoEjCloX7vBct\nWoR79+6JbU5h0dDQgCdPniAiIgJ//PEHmpqaqKDG0dERQ4YMQWVlJWJjY6GsrIzc3FxMnTqVln5G\nJ1pGCOGpRHCvGQ4ODrRGyOIE+/u9fPkyevbsCXNzc8TExKC5uZlvAMiJ8vJyREdH49atWzh58iTP\n7wWxPrhtDm7fvg1XV1c0NDSga9euCAoKEkvmmwmmTZuGGzduSIwxUFBQgO+++47qieIGO1DgpI7T\nBUv/dpSVleH48eO0NNBJkybhjz/+wJAhQ/Du3TvMmTMHjx49arfz66j7VdKQhH1MZ8O4ceMQFRWF\nb775BsHBwXBwcPhsbdqYgN/zSNTihba2NoKDg7FmzRqEh4fDwsICT548EWlOSeF/wSIXZs2aheLi\nYkybNq1Del8kBSsrK+jo6MDExARxcXF4/PixyCIQkloY6+vreV7r3r076uvr/xWBe2sICgqilczn\nzqZ3JvDbuHyu9OLly5ejrq4Oz58/h6amJrp16yaWHrCYmBgcOnQIq1evRu/evdG/f39KRbOt4Lwm\nXr9+jfLy8nbdJDc0NCAlJQUJCQmIj4+n+mzHjx9PfWY6Ojr49ddf4eTkhJMnT2Ls2LF4+vQpli9f\nTvtwpKMT8qusMfFklAQmTpyIa9euYfDgwXj37h1sbW2RkJDAd+zHjx/x008/UYmIVatW8e1Z4Ryn\noqJCXTN0yM/PR0ZGBtTU1DqEDbNjxw5UV1dDT08PXbp0ASFEJHEZoGVl8uXLl0hLS0NiYmKrf8em\njtMFlv9G+Pn54cqVK9i9ezdYLBb69+9PS3GfO3cuZGRkMHHiRDx8+BB1dXViTVq1ho6+XyUFAwMD\nXLlyBXv37sXevXthZmb2rwiUmMDU1BSmpqaIi4vD8uXLcebMGUpZvDOD+3nUs2dPkQM7GxsbaGlp\n4erVq5gwYQJkZWVpvac7Gp22Z1FS6KjeF0kjPz8fx48fx9ChQ6GqqiqWoE4SvloAaB8c/5YHSmtg\nIpnfmcCkp6ajkZaWhl9++QXOzs44ePAgvv76a9qxdNl7Qgh8fX1bvCYJW5bS0lKKrqikpCRQXEUS\n0NfXR01NDVRUVDBt2jRs3rwZOjo6Le7XLl26QFZWFlOnTkVJSQmAT9WPSZMm0c6blpYm9Dnwq7i3\nJwXxiy++wMaNGzFx4kQkJiZSojT88MMPPyArKwsFBQXIzc2l1F+5sXPnTrx48YIa9/r1a9r+H85r\nkP1ZtHciJiwsDIQQamMojmAxMjKSurZ79OgBd3d3of6uNTXQfyMuXLgAe3t7XLhwAdbW1vD09KRl\nogQFBcHX1xeRkZEYPnx4u6uGdvT9KilIwj6ms8HFxQX79+/Hhg0b0K9fvxb9550Z7OcRIQQ3btwQ\nC8vNx8cHqampGDNmDEaPHg1nZ2eR55QU/hcsckFfXx+XLl2CtLQ0wsPDeYx/OyvGjh2LXbt24ddf\nf0VgYKBYJPv/tzBKBkwk8zsTOP0A2T01nysGDhyIu3fvor6+HkFBQdDU1KQdKw6RKFFw5swZlJWV\nIT8/HyNGjKD17ZMUlJWVkZWVhezsbEhJSeHDhw8oKiqClpYWlJWVAXzKuNvb20NWVhYRERFQUFBA\nWVmZQHuHkpISigqsoqKCbdu20VKBOT1fP3z4gOHDh7fr5jMgIAD79+/HrVu3MHLkSGzfvp12bHx8\nPI4ePYoNGzbg5MmTsLGx4TsuISFBqHHAf67B5uZm5OTkYPTo0aK9oTbg+fPnYp/z9u3brY6hS9b8\ntz2PBg4ciDlz5iAvLw+TJk3C3r17accqKyvj559/bseza4mOvl8lhczMTCgpKYnVPqazwdbWVqDN\n0b8BgwYNwv79+0WmTmtoaEBDQwMODg5iOjPJ4X/BIhdiY2Mpz8bExMRO8SUKAz8/P4SGhgIAjI2N\nRfZCBCTjq/U/fOpH+umnn6CkpASgcynytQa2YE/fvn0/6wD4hx9+QGpqKnr06IHKykqBVZpLly5R\nmx5JikfRISIiAtu2bUNDQwNkZWXh4+MjsBIqboSGhqKyspKyBUlKSsKVK1da9Cyy15/i4mKhrXXc\n3d1RV1eHvLw8yMvLY9u2bThz5gzfsZy9oQ8ePKDtd5QUFBUVsWzZMujp6SE2NlZgP66cnBxSUlLQ\n0NDwf+3deVjNef8/8GeLCi2jJCTJHrekSdw0NJaMkiVrjCb7uAt3Y/naJZKdeybcZLvztUxKKGGM\nzCSMsuaLbIVKJSPaOy3n94df5y51Gjmn8znV83Fd93Ufp49zns2lznmd9/v9euH48eMwNTWV6Tqg\n/AcxcXFx8Pb2/vxv5jOdOXMG0dHRcHJygo+PDyZPnizzzpzJkydL/Vppp9XSQjkjIwNpaWlo27Yt\nnj9/jg4dOsj03LVN48aNMWXKFKiqqsLFxaXK/gFCd1AW+ue1ply+fLnOjLqi8rp3717uZ6a0eVt9\nwTOLH6mre+lrQnFxMdTU1Gq8w2p9IxKJ8PPPP0tWVMaOHVsnXoAOHjyI+/fvY8iQIVi6dCmmT59e\nYS6VMhKJRNizZ4/UT77/+OMPeHp6IiMjA02bNsXWrVsrjDaoSYMHD4ajoyMOHToEDw8PHDp0SOGN\nkEpKSiS/B1RVVZGVlYWYmBgMGDDgsx+zR48ekq3AoaGhGDp0qNSOifHx8QA+bBG6desW1q9fr9BG\nAe7u7lBTU4OxsTEOHz4MKysrqfPFTp06hfv37+PQoUPo2LEjNmzYUOm51U+9DijfCTT2t58XAAAg\nAElEQVQhIQFRUVEKbVgC/Hd0xeXLl6Gvr48bN24gMjJSpsesag7rx51WJ06ciMWLF8PCwgIPHz7E\n2rVrcfjwYZmevzaZPXu25L2LpqYmHBwcpP57Ke2gXBlFdFAW+ue1plTWnK62N6WjD06ePCm5ramp\nia+++qpWzEeUl9r/DlTO6upe+poQExMj9w6r9KGt+a+//oqsrCxoa2sjNjZWaRvBVMe+ffswb948\n7N27FyNHjsSBAweUtlhct24dLl26hOLiYojFYqSkpCAkJAQ7duyo8AasdHZiaTczLy8vhTbWSE9P\nR69evXD48GHY2dlh9+7dCntuAIiNjYW7uzvS09PRrFkz+Pn5wcLCQqZCEajeVmBHR8dyYya+/vpr\nmZ67uq5evYrjx4/j+++/x86dO6t8zRgxYgSGDRsGT0/PKsfijBgxAr169YKnpyeKi4urfGPy888/\nS0ZMvHv3TiEz5T6WlpYGR0dH7NixA8eOHcPYsWNlfswtW7Z88hbrp0+f4uXLl+jcuTMePXqEJ0+e\nyPz8tUVaWhp27dqFuLg4yViaqhpnlY7WKcvY2Ljc3NCa9PHPq7zPcQvF0dERwIdz+Xfu3Kkzx5jo\nw7n0CxcuwNXVFVlZWSguLhY6kkKxWPxIXd1LXxPWrl2LgQMHSjqs+vj4yNxhlT6c09m4cSMWLlyI\no0ePYvz48XWiWMzKykKvXr3g4+MDLy8vHD9+XOhIUh0/fhzDhw+Hnp4eRCIR/vOf/8DR0RFJSUkV\n3oQlJSXBy8sL586dg5ubW7lPIBXBxsYGx48fR15eHiZPnqzwWaRr1qxBz5494eDggLNnz8Lb2xtB\nQUEyP27ZrcCZmZkVmgWVVbZTraamZpWFZU3Q0NDAw4cPkZOTg7y8vCrHR3zK1koA2Lx5M5KSktCn\nTx+sXLkSkyZNknpG5vLly5Lb165dw+7duzF79uzP+E4+X9u2beHh4YH27dvjwoULUrvZVkd1tlh/\n++23WLhwIRYsWAAAmDVrlszPXxusXbsWWVlZMDU1xU8//QTgw4rd3LlzK51xCHxYBS5dAVNRUZGM\npxo4cKBCtqF+/PP6t7/9rcafUxHKdqZOTEysMw0SCViwYAHU1dXx4sULtG/fHvfu3ZN6LKIuYrH4\nkbq6lx74cBbh6NGjSEpKQsuWLTFx4kSZXtBrosMqfegc+eLFCxQXFyMmJgaGhoZCR5ILc3NzuLq6\nolu3brhw4YJS7/mfOXMmJk2aBF1dXYhEImhra0v90Mjc3ByBgYHIz8/HrFmzMHDgQIVm3bx5Mx48\neIDmzZvDysoKgwYNUujzP3nyBH5+fjAyMkK3bt1gb28v9dqqfp9+XOTa2trC1tb2kz6sMzQ0xN27\nd1FSUoK8vDyMGzcOvr6+cHR0VMhRAicnJyxatAgTJkzAixcvMHXqVKnXVtUptaygoCD4+Phgx44d\nWLBgAXbv3i21WCztRKqiooInT57USLOZv7JmzRrs2bMHrq6u0NLSkssb5W3btmHatGmSLdabNm2S\nWizOnTsXAwYMwLNnz2BmZgYLCwuZn782CA0NxYoVK7B27Vp4e3tj6NChOHPmDLZu3Sq1WPT3969w\nX6NGjbB3796ajgsA6NChA3bv3o1nz56hdevWaNWqVZ05ypKRkYHExEQYGhoqvMss1Zzs7GyEhITA\ny8sLEydOxDfffCN0JIXimcWP1NW99NHR0Zg2bRr09PTQqlUrpKam4s8//4S/v/9nbx2dPHkyNDQ0\nsG/fPsyfPx8pKSk4cuSInJPXP/v27UNCQgKCg4Ohr6+PzZs3VzlioLZ48eIFjhw5gtGjR6NBgwYw\nNDSsE3v+k5OTERsbi3PnzsHKygouLi716qzzqFGjYG1tjVGjRuHkyZOIiYmRWhR26dKl3Jmesrdl\nWdHo168f0tPTK9y/aNEiTJky5bMftzri4uLQoUMHqKmpyeXxevTogaCgIIwbNw779+/HlClTpJ7Z\nLPuhn6qqKmbOnIl58+bJJUd1PHr0SHLWul27djI/nqWlJXbt2oW5c+ciMDAQLi4u+OOPPyq99tWr\nV5/cPbcusbS0xJkzZ+Dp6Yl169ahffv2iI+Px/z586X+HJY2TXry5Anat2+PcePGoUGDBgrLPG3a\nNDx58gTdu3fHvXv3YGpqWidWaUrHrolEIqipqWHlypUYN26c0LFIDmbMmAFdXV28evUKZmZmuHjx\nosLPhQuJxeJHSruElT37oqxDMqtj0qRJ6NSpE5YtWyZ5M7NhwwbcvHkTgYGBn/WYqampOHHiBP7x\nj3/g9OnTsLa2VurZebVJbm4uXr16hdatW9erwqM2io6OrnCfIhvcCO3GjRtwd3dHZmYmdHV1sWPH\nDlhbW1d6rUgkQlFREe7du4eYmBhER0cjNjYWGhoalf53/FR9+/ZFQEAATExMkJ2djb59++Lu3btQ\nU1OTW/EmL5U1wShV9sz89OnTcfPmTfTq1QtdunTBy5cvsXnz5kr/nkgkktxu0KCB5PVLkQICAuDr\n6yt5/Vy6dGmVW24/xcyZM6Gjo4Pz58/jiy++gJOTk9Q5om5ubsjPz8eDBw/QtWtXaGho1IkC5K+M\nHz8ehYWF0NDQQEpKCqysrHD79m106tRJ6vnlZcuWITw8HGZmZnjx4gWGDBmi0FUwa2trHDt2DO3b\nt0dCQgLGjh2LGzduKOz5a4qtrS1Gjx4NBwcHXLhwAUeOHMHVq1eFjkVy0KVLFzRu3FjS/NLV1VVp\ney7UBBaLH4mJiZHcLt1LXxcOKffo0QNhYWFo3rw5nj9/jnbt2iE1NRVDhgyp1vDrst6/f48nT55I\ntn6tXr0a69evh7W1dZ34byaUyt5glT3LRMql7AdMpb9OFXHuR5nk5ubi+fPnMDU1rfK83pQpU3Dn\nzh2IxWJYWVmhd+/e6N27N7p161ZpgZOTk4Pff/8dSUlJMDQ0xODBgytdjU5LS0N8fDysra0RGRmJ\nnj17QldXV67fo7xs27ZNarFY9szT27dvERYWBnt7e6ipqaFJkyZSuyJv3LgRQUFBWLVqFQoKCmBg\nYID+/fvXSH5p+vfvj5kzZ2L79u3w9vaGj49PuWMdnyMzMxMPHjxAZGTkX26xrk733Lrk2bNn+Omn\nnyodS1N2pEpZNjY2OHjwILp06YJHjx5h8uTJMn1YU10rV65E586d4eTkhPDwcNy8eRNr1qyRvBGv\nrYYMGYK9e/fCxMQEycnJmDp1Ks6fPy90LJKDjIwMNGnSROgYguGZxY/IY/6gMlJTU0NycjJUVFQw\nYcIExMTE4PXr11V24/sr48ePx/PnzyVv8sRiMVxdXeHj41Pnh7LWpNIzTQUFBXjw4EG9/gVVG5R2\nPi0oKMCVK1dkfoNc21Tnw42UlBTk5+ejRYsWaNmypeR/lRWKL1++hJubG1JSUiT3/fjjjzhw4ADa\ntGlT7lpvb2+oqakhMjLyL0dXCM3T0/OTtmvq6+vD1dX1kx7z6NGjmDBhAo4cOYLhw4dj9erVCm/Z\nn5mZKdn2aWJiIpfHFIvFUFdXh52dHfLy8jBgwACpH0hWp3tuXdKuXTts374dIpEI8fHx6Ny5c7nd\nUZXR0NDAs2fP0KVLFzx8+FDho5nCw8MRGBgIb29vSc7Tp08DqN0ftHXt2hXu7u7o3bs3rl+/jhYt\nWkhGvFQ1BoaUX3JyMqZPny45Z+vt7Q1LS0uhYykMi8V6wsLCAmvXrpVsjyssLMQ///nPSltof6qM\njAwcOHAAzZs3R25uLsaMGYPw8PAqVxbor5WdH5aYmMgzD0rOzMxMcltHR0dpi5SaUp0PN86dO4f0\n9HTExMTg+vXr2LlzJxYuXAgzM7MK40Y2btyIFi1aYPfu3TA1NUVycjJWrVqFtWvXVmjEUZ3RFTXh\nU7eWAjWzXbNZs2YYOXIkEhMT8fe//x1r1qyR6fE+x+DBgxEeHo6cnBxMnDgRnp6eMj9m6QeSwH+7\ndkr7QLJs99ysrKwqu+fWRTNnzsQff/yBWbNmSWYtSuuIO2PGDOzcuRNOTk6IiIjAjBkzFJp1+fLl\nCn0+RSndpXXx4kUAH5qiJCYmQiwWs1is5RYvXoxmzZph/vz5uHz5MpYuXarQEVlC4zbUeiIiIgJL\nliyBWCyGtrY2IiIisHLlSvzwww/44osvPusxExISoKenh8TERJiamiI3N5dnFuUsKysLJ06cwHff\nfSd0FJIiLi4OMTExsLe3x/79++Ho6FhvOjF+rPTDjWvXrlX6dVtb2wr3ZWVloaCgoMKKwt///ncE\nBASgQ4cOkvuePXuGMWPG4Pbt2+Wu7dWrF5YvX45169bB29sbXl5euHLlihy+o08zf/58PH78GH37\n9kV0dDR0dHTQvXt3AOW3lgI1s13T2dkZqampUFVVhVgsho6ODs6dOyfTY1ZXYWEhnj17hps3b8LK\nykouozN69eqF7du3V/qB5Kd2la0vLC0tsXHjRgQEBGDmzJlYuHBhlQ043r59C319feTn50NLS0uB\nSeuHoqIiXLlyReHbwalm9OnTB8HBwWjRogXS0tIwcuRIqa9zdRFXFuuJAQMGVHjh8Pb2lukxX758\niXnz5iE/Px8NGzbE9u3bWSzKmY6ODgtFJbd8+XJYWFhgw4YNePz4Ma5cuYKwsDChYwlCT0+vyvl2\nLi4uUlfgKvPxVjoVFRU0atSownXVGV1RE+7du4d9+/bBxMQEr169gqurq9TmKjWxXdPIyAjW1taS\nFSUHBwe5PG51lP6bb9SoEeLi4hAXFyfzzM9jx46hVatWaNCgAcRiMS5evCj1NaY6q7t1UWmnYUND\nQ6ipqSE3N7fK60tHVbBQlB+RSITLly/j/Pnz+O2335Cfn4/Y2FihY5Ec2NvbY/v27Rg8eDAuXryI\nnj17SubbfvXVVwKnq3lcWawnKnshlfUF1MnJCba2thgxYgROnTqFyMhInDlzRqbHJKptLCwscP78\neTg7O8Pf3x8TJ06sV28QqvMm/e3bt7h9+zZsbW0hEomgo6Mj9XHnzJmDjIwMrFixAmZmZkhKSoK3\ntzf09PTwr3/9q8L18h5dUR39+vWDvb097OzsEBERgV9++UXqauGiRYtQXFyMs2fPQl1dHZ6engob\n71GTPl5JbNSokcxjpyr7txUaGirZPlnWpzYOqqtsbW3x5s0byXZdGxsbBAQECB2rXrG2tkZ+fj6c\nnJwwcOBA9O3bV6a+EKQ8pO2UEIvFtfqc7afiymI94ejoCODDuaI7d+7IpVtpUlIS3NzcYGRkhCZN\nmuDo0aMyPyZRbWNgYAB/f3/o6OggNjYWLVq0EDqSQg0bNgxv375FUFAQvvzyS1hZWUm9dsaMGbh/\n/z4mTJiAxo0bIzc3F6tWrar02kWLFmHq1KkYMWKE5L7WrVtLbfHfuXNn2b4RGaxatQpLlizB4cOH\n0ahRI6xdu1bqtT4+Pnj27BmsrKzktl1TGZSe1xKLxQgNDcXDhw9lfsxhw4ZVKAAbNGiAYcOGVbh2\nxowZuHfvXq3oiFsTpk+fjlatWklWl3v06CF0JKn8/Pykfk3R543l6euvv8bVq1cRERGBvLw8ZGRk\nYOzYsULHIjkoPYdaX3FlsR5KTEyEs7NzuTEhn2PixIlo2rQpnJycEBYWhvT0dBw5ckROKYlqh+Dg\nYGzYsAHz5s2Dvr4+dHV1ZWocVduIxWIEBQXB19cXRUVF2LRpE4YMGVLptZaWlggICMCmTZuwcOFC\nTJkypcrVp/z8fPz222949eoVjI2NYWdnB01NzZr6VqpNJBJJWv0XFxcjPT0dBgYGuHv3rtRZk5W9\nUa7Nb5BLlc56FIvFiImJgaenp8yvMQDw9OlTyfD4sudXP+bu7g41NTUYGxsrfUfcmhASElLhPlm3\nAdeU0rPLJSUlyMjIgIGBAQDgzZs3tX6VJikpCXv27MGJEydQVFRU678f+iAgIAAhISFYtGgRcnJy\nYGRkhG7dugkdS2FYLNZD+fn5iIyMhL29vUyP8/TpU7i7u+Ply5cwMTHBjh07qnwxJ6K6x9nZGc+f\nP4e7uzt0dXWxevVq/N///V+l186YMUPSBObrr7+Gj48P7ty5U+m12dnZiIqKQl5enuQ+ZXvza2lp\nid9//x16enrIyMjAyZMncfz4ccTHx0t9k1j6RlkkEiErKwtGRkb47bffFJi6ZpTOGy315Zdf4vDh\nwzI95qFDhySdYwFgyZIlUseJ9OjRQ9IR18vLCx4eHlL/bdVFH69Qa2try6VYr0kpKSkYMWIEoqOj\nkZ2djZ49e8plRVooQ4cORWJiInr16oU+ffqgb9++gu54IPmxtrbGV199hTdv3sDOzg7BwcH1qhsq\nt6HWE5Wd/ejbt2+lZz8+Vfv27XH+/Hm8f/8eenp68ohJRLWMmZkZdu3aBSMjIwCotAFNqevXr0vO\n8l26dAmDBw+Weu2cOXPwxx9/SP4sFouVrljU19fHDz/8AD09PVy4cAH6+vpwcHDApk2bpP6dsmcZ\nb926hRUrVigiao3z9fWV3NbU1JRL0wd/f3+sXbsW9vb2iIiIwObNm6UWixoaGnj48CFycnKQl5dX\n70Y4ld0GfO7cuVrRqbG0EU9RURGys7PlcjxGSE2aNMGLFy/w+vVrvH//Hjk5OUJHIjlp3Lgx5s2b\nhw0bNmDo0KHYvn270JEUisViPVGdsx+fqiaa5hBR7TJz5kz88ssvktEhTk5OUq/dsmWLpAOopqYm\n2rRpI/Xa+/fv48SJE1KH1iuDrVu3wsfHB1evXoWhoSHmzp2LIUOGQFtb+5P+vrGxsaTIru1Gjhwp\n98fMyclBly5doK2tjXbt2iErK0vqtUJ3xBVa2VXUrKysWnHGysDAAA0bNoSHhwcyMzNr/c/CkSNH\nkJaWhnPnzuHs2bPw9/ev1Sul9F/GxsZwd3dHUVERvv/+ezRt2lToSArFbaj02bZu3QqgfNMcNrkh\nql/GjBkDCwsLvHv3Do8fPwYAqaNDqnNez8vLC7a2tujbt6+kw2np+UBl8+jRIwQHByM0NBQ5OTmw\ntbXFzp07y13z3XffYdeuXZKV1/v37yMwMBBhYWEydw2tq5YsWYK7d+8iPDwcM2bMgIGBAdavXy/1\neiE74gqtdBtwaTfUUaNGlVvtVVZnz57Fpk2bUFRUBC8vLwwYMEDoSJ+tbLfnwsJCydk2qv2GDx8O\nExMTSQMpZ2fnetWbgMViPfHxeZKy5HEAW15Nc4iodqnO6JDqnNeztrZGdnZ2ufuUvVlEUVERIiIi\nEBwcjN27d5f7mo2NDSZPngxDQ0MEBgbi4cOH6NKlC4YNG1YnRmfUhKKiIly7dg1fffUVHj58iPbt\n26NBgwZCx1JKCQkJAD40jfnll1+QlpYGLy8vYUNVoaSkBG/fvoW+vn6t335aavTo0ZJuz40aNUJe\nXp7Ubs9EtQm3odYTq1evrtYw7Kq8fPkSxsbG5T69bdq0KZYtWyaXxyei2qM6o0Oqc15v+fLlcs2p\nCOrq6rC3t6+0edg///lPbNy4Efn5+WjWrBn8/f0lxTNV7siRIwgJCYG6ujpycnJQVFRUrzoQVkfZ\nVfeOHTti//79SlssxsbGwt3dHenp6TAyMsJPP/0ECwsLoWPJ7NmzZwgMDCzX7ZnFItUFXFmsJ5KT\nk6V+zdjYuFqPZWFhgd9++w36+vp49OgRjh8/jtDQUGRnZ+P+/fuyRiWiWuRzR4ekpqZizZo12LFj\nR6VfLykpwevXr1FcXIz8/Hx4eXlh/fr11f59pUzevXuHsLAwBAUFIS4uDt27d8fQoUPh5uYmdDSl\nVN87EFbHx9tQ7ezs8O9//1voWJUaO3YsTExM4ODggLNnz+LFixcICgoSOpbMqtPtmag2YbFYT8hz\nG6qjoyNUVVXRqFEjxMbGonv37nBycsLQoUOhr68vj7hEVAfduHED0dHRKCkpQUFBAfz9/eHh4QE3\nN7cKTWHGjRtX6XZWPz8/DBo0SFGRa8zDhw8l5xyvX78udByl1L9/f/znP//Bhg0bsGLFCgwZMgT3\n7t0TOpZSKrtqr6mpie7duyvtGV9LS0ucP38eRkZGSEtLg729vaSba21mYWGBwsJCyZ8HDx6MH3/8\nUcBEJC/yXHCpjVgs1hNlX0g+Vt2tUC9evMC2bdtw8eJFNGnSBOPGjYODgwPatm0ra0wiqsN69+4N\nsVgsOXf2559/wsDAANOnT6+wumZtbY3ly5ejadOmyM/Px5w5c+Dv7w9DQ0N06tRJgPTSVTYQvdRf\njfsoLCzkOTwpJk6ciPfv36OoqAiamprIysrCpUuXhI6llPLy8rBjxw7ExcXB3Nwc7u7u0NLSEjpW\npUaNGgVra2uMGjUKJ0+eRExMTJU/Q7XFhQsXKnR7VlFRETgVyUNlCy6lq/jKfpZeHlgs0mfLyMjA\n6dOnERwcjMePH6NTp044deqU0LGISEk5ODjgwIEDMDIyQm5uLpycnKS2+L927Rp69OgBLS0tFBUV\nITQ0VOnmLJYqOxC9dCtg6e368EaiptT3DoTVsWTJEkRGRsLS0hJ37txBv379lLYb6o0bN+Du7o7M\nzEzo6urCz88PPXv2FDqWzKrT7ZlqF3Nzc6xbtw6GhoYVvlYfzp6zWCS5uH//PoKDg7Fy5UqhoxBR\nHbBkyRLJbZFIhDNnzmD06NFwdHREnz59BExWkUgkAgCkpKRg7NixiIqKQnZ2Nvr27cs5a6QQ1tbW\n+N///V907twZjx49wsSJE5V6JEtubi6eP38OU1NT3L9/HzY2NkJHkll1uj1T7WJubo7z58+jdevW\nQkcRBLuhklx07doVXbt2FToGEdURpaMAAKC4uBgqKiq4desWIiMjcfnyZQGTVVR6NqxBgwYQi8XQ\n0NCAhoaG3DpQE/0VLS0tZGRkAPjQSKlhw4YCJ5IuPDwcV65cQUlJieSDoFGjRmH+/Pm1etj5x92e\na2NHZ6LKsFgkIiKlc+zYMcntvLw8zJo1C9u2bcPIkSMFTPXXyp5R4nklUpQJEyZg1qxZaNOmDRIS\nEjBjxgyhI0m1YsUKtGzZEo0bN5Z8EJSQkIALFy7AxcVF6HhyYWxszD4OdUjLli2hrl5/SyZuQyUi\nIqVTWcOLYcOGISQkBOPGjRMg0acpPbMoEomwZ88enlkihQkLC8OdO3dgYWGB4cOHCx1HqunTp2Pj\nxo3Q19dHfn4+Zs6ciYCAAKFjyezVq1fw9fVFfHw8OnXqhEWLFqF58+ZCxyI5iYiIQHx8PDp27Ih+\n/foJHUehWCwSEZHSKds0BvhQhN24cQM9e/ZUunOAJSUl+PnnnyWdKMePH89VRSIpMjMz8fjxY5SU\nlCAvLw+rV6/G+vXrYW1tDVVVVaHjfTY3Nzfk5+fjwYMH6Nq1Kxo0aFAnimACNm/ejIMHD6KoqAgq\nKiqYPn065s+fL3QshWGxSERESqe0aQzwoVB89eoVzMzMIBKJlG5+3IYNG3DkyBGYmZkhISEBLi4u\nWLx4sdCxiJTSN998g+fPn5frGgwAPj4+GD16tJDRZNKjRw/s2bMH7u7uCA0NxdChQ3Hr1i2hY5Ec\n9O3bF8uWLYOXlxd2796N77//vl7Nx62/G3CJiEhpxcbGIjo6GiUlJSgoKIC/vz88PDzg5uamdMXi\nyZMn4e/vDxsbG9y4cQMeHh4sFomkyMjIwIEDB9C8eXPk5uZizJgxCA8PR+PGjYWOJpNmzZohIiIC\nIpEI27ZtY9O/OkQkEkEkEkEsFiMzM7PW/1utLhaLRESkdDw8PCAWiyUD61VUVHDs2DFoa2vDzc1N\n2HAfEYvF0NbWBgDJ/xNR5Y4dOwZdXV0kJyfD1NQUFy9eRMuWLYWOJbMVK1bgzp07aNiwITIzM7F+\n/XqhI5GcjB49GteuXUN2djbmzJkDHx8foSMpFLehEhGR0nFwcMDBgwfRrFkz5ObmwsnJCRcvXhQ6\nVqW8vb1x9uxZyUD0IUOGwMvLS+hYREopPDwcixcvhkgkgpaWFnx9fTF06FChYxFVKTU1FY8ePULX\nrl1r9YiXz1F7TxITEVGddebMGZSUlCA5ORkpKSlo2bIlkpOThY5VqaVLl0pWO11dXTlfjagK27Zt\nw9SpU9G4cWPMmzcPmzZtEjoSUZUCAgIwe/ZsaGho4M6dO7h3757QkRSKxSIRESmd8ePHw87ODgMH\nDoSjoyNiYmIwcOBA/Prrr0JHq0BdXR3m5ubo0aMHunXrVq/ncRH9lfT0dPTq1Quqqqqws7NDbm6u\n0JGIqvTjjz+iTZs22LlzJ168eIH/+Z//ETqSQrFYJCIipRMfH4/169dj79698PPzg4qKCvbu3QsT\nExOho1Xg7++PWbNmwd/fH9OnT8eePXuEjkSktGxsbBAUFIS8vDxMnjwZo0aNEjoSUZVKV8G1tbUx\ndOhQJCYmCh1JoXhmkYiIlM61a9dgaWmJvLw86Orq4vbt2+jZs6fQsSrVr18/LFmyBEOHDsW5c+fg\n4+ODy5cvCx2LSCllZmbiwYMHiIyMhJWVFQYNGiR0JKIqTZw4Ee/fv0dRURE0NTWRlZWFS5cuCR1L\nYbhXhoiIlI6qqioGDBiAjIwMNG3aFNu2bRM6klR5eXno3LkzAKBz587Iy8sTOBGR8iptVNWhQwdk\nZWUhJCSEq4uk1HJyctCmTRuoqKhAU1MTzs7OQkdSKK4sEhGR0hk2bBh69OiBsLAwjB07FlFRUQgP\nDxc6VqXmz5+P+/fvw9bWFlFRUejatSu2bNkidCwipWRubl7uz1paWrh9+7ZAaYj+WmFhIZ4+fQpz\nc3PExcWhXbt2krFO9QHPLBIRkdJJSkrCiBEjoK6uDjc3N7x580boSFJ5eXnBxsYG0dHRsLa2xqpV\nq4SORKS07t69i7t37yImJgZbtmyRrMoTKatVq1Zh586d+Pe//41Ro0ZhwYIFQkdSKBaLRESkdMzN\nzREYGIj8/HzMmjULAwcOFDqSVDo6OvD29sbp06exYsUK+Pr6Ch2JSGlpaGhAQ4KkPLUAAAxTSURB\nVEMD2tra6NGjB/Lz84WORFSlX375BVOnTsXp06exceNGREZGCh1JoXhmkYiIlM7mzZsRGxuLgoIC\nWFlZwcXFRehIUs2ZMwcXL15ESUmJ5L6QkBAEBATAxsZGwGREymPp0qVYuXIltLS0AABv3rxBaGgo\ncnJyBE5G9NeKi4uRnp4OAwODerUFFWCxSERESig5ORkGBgaYNGkSAODOnTtKW3hduXIFc+fORZMm\nTVBQUABfX194eXkJHYtIqZw9exZWVlYwMjJCYGAgLl26hC+++ALffPON0NGIqtS/f398++23cHR0\nxO3bt+tdQyY2uCEiIqVjbm4OsVgMFRUVlL5MxcXFCZyqcidPnsSgQYOgra2NoqIihIWFYeTIkULH\nIlIq27Ztw549eyAWi9GsWTOsXLkSAwcOhIqKitDRiKpUUFCAqKgo9OrVC2pqamjYsKHQkRSKxSIR\nESmdhIQEAB9epK9cuYKoqCgcOHBA4FREJIsnT57gxIkTOHXqFPLy8mBnZwdHR0fOWiSlFhISUu7P\nYrEYTk5OCAsLqxerjCwWiYhIqSUnJ2PChAkcdE9URxQXF+PSpUsICgrC5cuXcf/+faEjEUn18bgX\nsViMGzduoGfPnnj48KFAqRSHxSIRESmduLg4xMTEwN7eHvv374ejoyMsLCyEjkVEcpaeng5DQ0Oh\nYxBJJRKJKtynoaEBkUgEDQ0NARIpFotFIiJSOmPGjIGFhQXevXuHx48fAwDCwsIETlW5AQMGSP1a\nRESEApMQEZG8+fn5VbjPw8NDgCTCYDdUIiJSOo8fP8ZPP/0EZ2dn+Pv7Y+LEiUJHkiolJQXjx4+H\nrq6u0FGIiEjOjh07BgAoKSnBu3fv0Lp1axaLREREQjIwMIC/vz90dHQQGxuLFi1aCB2pSlOnTkXr\n1q2FjkFERHIWFRUluX358uUKDW/qOhaLRESkdDw8PLBhwwbMmzcPTZo0wcqVK4WOJBVPcxB9utKx\nOJVR1vE4VL/Fx8cD+PC7PjU1Fb///rvAiRSLxSIRESmd0aNHY/To0ULH+CScE0dUPUuWLEFBQQF2\n7dqFxYsXo6CgAOvWrRM6FlGlHB0dJXN/AcDOzk7YQArGBjdEREQyePXqFbS0tJCYmAgzMzOeXSSq\ngrm5OaKjo5GdnY3hw4cjJiYG2dnZsLa25soiKaWYmBjJbU1NTfztb3+DqqqqgIkUiyuLREREMnjy\n5AnmzZuHgoICaGlpYfv27ejfv7/QsYiUkoqKCvLy8pCTk4O8vDy8f/8emZmZaNCggdDRiMp5+fIl\nYmNj0adPH+zevRvx8fFo27YtWrVqBX19faHjKQxXFomIiGTg5OQEW1tbjBgxAqdOnUJkZCTOnDkj\ndCwipWRvbw9TU1Pk5OTgxYsXUFdXR3FxMUxMTHD06FGh4xFJTJgwAZ06dUJiYiKePn0KCwsLxMbG\non379ti/f7/Q8RSGK4tEREQySEpKgpubG4yMjNCkSRO+4SWqwrJly+Dl5QVdXV0EBwcjKCgIOTk5\nmDJlitDRiMqJi4vD2rVr4eLigp9//hlt27ZFfHw8xo8fL3Q0hWKxSEREJANzc3P4+PjAyckJYWFh\n6NKli9CRiJRW//79ERoaCm1tbQD1a7g51S6amppITU2Fg4MDoqOjYWxsjJs3b+Kbb74ROppCcRsq\nERGRDJ48eQIPDw+8fPkSJiYm8PPzQ8eOHYWORaSU5s+fjzNnzmDJkiUoLi6Gnp5erel8TPXLihUr\nEBQUVG7Ui4qKCho1aoSbN28KmEyxWCwSERHJwZ9//gkDAwOhYxApNUtLS3h6euL8+fOYNGkSfH19\nyw09J1Imv//+O16/fo2SkpJy99enrajchkpERCSD69ev44cffpAUi1u2bEHv3r2FjkWklExNTdG1\na1fcvn0b7dq1w/v374WORCQVO1tzZZGIiEgmw4YNg5WVFezs7BAVFYWYmBiEhoYKHYtIKQ0ZMgSv\nXr2Curo6CgsL0bFjR5w4cULoWEQkBVcWiYiIZJCUlITdu3fD2NgYnTp1QnBwsNCRiJTWV199BRMT\nE6ioqEBTU5MrN0RKjiuLREREMpg8eTI0NTWxd+9ezJ8/HykpKThy5IjQsYiUUnR0dIX7bGxsBEhC\n9Gn8/PwqvV8sFmPOnDkKTqN4LBaJiIhkkJqaihMnTuAf//gHTp8+jZ49e6JFixZCxyJSSubm5hCL\nxVBRUZF0mYyLixM4FZF05ubmaNKkCVRVVSt8rT40Z2KxSEREJIOQkJBK7xeLxXB2dlZwGiLllpCQ\nAAAoKCjAlStXEBUVhQMHDgicikg6c3NznD9/Hq1btxY6iiB4ZpGIiEgGS5cuBQDJKomKiorkzywW\nicozMzOT3NbR0cHBgweFC0NEf4nFIhERkQzu3r2LtLQ0jBw5Et27d8e2bdvQsGFDoWMRKaWPzyz6\n+voKlISIPgW3oRIREcngwoUL2LBhAwoKCvDFF1+gcePGOHbsmNCxiJQSzyxSbePn54fJkydDT09P\n6CiC4MoiERGRDDw9PTF58mR4eHhALBZj2rRpQkciUlrh4eEAgJKSEpw9exY5OTkCJyL6a4cOHar0\nfg8PDwUnUTyuLBIREcng2bNnMDMzw7t376Cvr4+cnBw0btxY6FhESi8uLg7fffcdrl+/LnQUIqls\nbW0BfPiAIyMjAwYGBgCAN2/e1ItVca4sEhERyeDNmzf49ttvkZGRgaZNm2Lr1q2cG0ckRekbb7FY\njPfv36Ndu3YCJyKqWul4jJSUFIwYMQJRUVHIzs5Gz549BU6mGCwWiYiIZLBmzRoMGjQIYWFhcHBw\ngJeXl2SrHRGV5+LiIjmrqKWlBQcHB4ETEX0aNTU15ObmoqioCNnZ2ZXOXayLuA2ViIhIBpaWlti7\ndy9mz56NU6dOYeTIkRU6PhIRUe1WXFyM3r1748svv0RmZiZSU1MREREhdKwaVz9KYiIiohpibm6O\nwMBA5OfnY9asWRg4cKDQkYiISM7U1NTg7e2Nx48fIykpCcuXLxc6kkJwZZGIiEgGycnJiI2Nxblz\n52BlZQUXFxdoaGgIHYuIiEhmLBaJiIhkUNmWUza4ISKiuoDFIhERkQw4ZJyIiOoqdkMlIiKSQWnn\n04KCAly5ckXSZp2IiKi2Y7FIREQkAzMzM8ltHR0dHDx4ULgwREREcsRtqERERHJUWFiIBg0aCB2D\niIhIZiwWiYiIiIiIqALOWSQiIiIiIqIKWCwSERERERFRBSwWiYiIiIiIqAIWi0RERERERFQBR2cQ\nEVG9t3r1aty6dQuFhYV4+fIl2rVrBwBwdXXF6NGja/S5Fy5ciAULFsDIyKhGn4eIiKi62A2ViIjo\n/0tKSoKrqysiIiIU9pz9+vVDYGAgmjdvrrDnJCIi+hRcWSQiIpIiOzsb3t7eePr0KUpKSjBz5kw4\nODjg+PHjuHbtGjIyMpCYmIj+/ftjxYoVKCwsxKpVq/D06VO8efMGXbp0wZYtW5CamgpPT0+YmZnh\n0aNHMDQ0xL/+9S8cPnwYb9++xbRp03D06FHo6uoK/S0TERFJ8MwiERGRFDt27ED37t1x4sQJHDp0\nCDt27EBycjIA4M6dO/Dz88Pp06dx/vx5PHv2DDdv3kSjRo0QGBiIX3/9FX/++ScuX74MAHj48CFm\nzJiBsLAwaGlpISwsDLNnz4a+vj727dvHQpGIiJQOVxaJiIikuHr1KgoLCxEYGAgAyMvLw9OnTwEA\nVlZWaNy4MQCgVatWePfuHXr37g19fX0cPnwY8fHxSExMRG5uLgDA0NAQnTt3BgB07NgR79+/F+A7\nIiIi+nQsFomIiKQoKSnB1q1bJUXemzdvoKenh5MnT0JTU1NynYqKCsRiMS5cuIAdO3bA1dUVzs7O\nSE9PR2lrgLLXAwBbBhARkbLjNlQiIiIpevXqhaNHjwIA0tLS4OTkhNevX0u9/sqVK3B0dISzszO0\ntbURExODkpKSKp9DXV0dRUVFcs1NREQkDywWiYiIpJg3bx6ys7Ph5OSEKVOmYPHixTA2NpZ6/fjx\n43Hq1Ck4OTnB09MTX375JZKSkqp8Djs7O0ybNg2vXr2Sd3wiIiKZcHQGERERERERVcCVRSIiIiIi\nIqqAxSIRERERERFVwGKRiIiIiIiIKmCxSERERERERBWwWCQiIiIiIqIKWCwSERERERFRBSwWiYiI\niIiIqAIWi0RERERERFTB/wPv+RRPYZbRvAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113cfa20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set(style=\"whitegrid\")\n",
    "g = sns.factorplot(x=\"Tenant\", y=\"Lease_Sales\", hue=\"Month\", data=newone2,\n",
    "                   size=6, kind=\"bar\", palette=\"muted\", aspect=2)\n",
    "g.despine(left=True)\n",
    "g.set_xticklabels(rotation=-90)\n",
    "g.set_ylabels(\"Lease_Sales\")\n",
    "plt.tight_layout()\n",
    "plt.savefig('Nov_Dec_Fam_Apparel-TEST TEST', dpi=300, edgecolor='w',bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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FCxZoyJAhCggIuOf3e3h42Js7m80mT0/PO7ZJUtOmTVW3bl09/vjjOnTo0H2bxUqVKqW0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\nAMABZREAAAAA4ICyCAAAAABw8C9p+5V/IrApYwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x121aa908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set(style=\"whitegrid\")\n",
    "g = sns.factorplot(x=\"Tenant\", y=\"Lease_Sales\", hue=\"Month\", data=nov_dec_fam,\n",
    "                   size=6, kind=\"bar\", palette=\"muted\", aspect=2)\n",
    "g.despine(left=True)\n",
    "g.set_xticklabels(rotation=-90)\n",
    "g.set_ylabels(\"Lease_Sales\")\n",
    "plt.tight_layout()\n",
    "plt.savefig('Nov_Dec_Fam_Apparel', dpi=300, edgecolor='w',bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "fam_nov = nov[nov['Category'].str.contains(fam_list)]\n",
    "fam_dec = dec[dec['Category'].str.contains(fam_list)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Tjx49dObMmT/sLwAAqP6qfIWsX79+kn4NTu7u7hoxYoTq1q2rhx56SOHh4fLz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\nIJMkSUqYQSZJkpSwX0YBSfc6ahzjAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x135677f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\")\n",
    "f, ax = plt.subplots(figsize=(8, 20))\n",
    "sns.set_color_codes(\"pastel\")\n",
    "one = sns.barplot(x=\"Lease_Sales\", y=\"Tenant\", data=fam_nov,\n",
    "            label=\"Nov\", color=\"r\")\n",
    "sns.set_color_codes(\"muted\")\n",
    "two = sns.barplot(x=\"Lease_Sales\", y=\"Tenant\", data=fam_dec,\n",
    "            label=\"Dec\", color=\"#557f2d\")\n",
    "ax.legend(ncol=2, loc=\"lower right\", frameon=True)\n",
    "ax.set(xlim=(0, 12000000), ylabel=\"\",\n",
    "       xlabel=\"Test\")\n",
    "sns.despine(left=True, bottom=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### pie plot attempt did not work out\n",
    "df = pd.DataFrame( kids_dec['Lease_Sales'], index= [kids_dec['Month']] )\n",
    "df.plot(kind='pie', subplots=True, figsize=(8, 8))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lease_Sales by store"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Lease_Sales_PSF</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tenant</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>iTech Accessories</th>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tbooth</th>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Teavana</th>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RicciardiPaints</th>\n",
       "      <td>5.29355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zvelle</th>\n",
       "      <td>9.20745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Famous Players</th>\n",
       "      <td>12.48230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forever 21</th>\n",
       "      <td>17.19730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Urbanology</th>\n",
       "      <td>18.11850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Free For All Marketing</th>\n",
       "      <td>19.70990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lorna Jane</th>\n",
       "      <td>26.69190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nordstrom Canada Leasing LP</th>\n",
       "      <td>28.81900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Laura</th>\n",
       "      <td>29.57775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maska</th>\n",
       "      <td>33.95305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Restoration Hardware</th>\n",
       "      <td>37.71940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reiss</th>\n",
       "      <td>40.35175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sport Chek</th>\n",
       "      <td>42.73210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Calendar Club</th>\n",
       "      <td>43.26110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Melanie Lyne</th>\n",
       "      <td>44.91380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Koodo</th>\n",
       "      <td>45.81850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Walk &amp; Wear Fine Shoe Repair</th>\n",
       "      <td>45.89290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pickle Barrel</th>\n",
       "      <td>45.93005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anthropologie</th>\n",
       "      <td>48.32440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Old Navy</th>\n",
       "      <td>49.26850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Loft</th>\n",
       "      <td>50.45895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vitaly</th>\n",
       "      <td>51.58645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rogers</th>\n",
       "      <td>53.13675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zara Home</th>\n",
       "      <td>53.96550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>espressamente illy</th>\n",
       "      <td>54.35205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H &amp; M</th>\n",
       "      <td>57.21130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Buscemi</th>\n",
       "      <td>57.42560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Le Chateau</th>\n",
       "      <td>58.37235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rockport</th>\n",
       "      <td>58.84370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Suzy Shier</th>\n",
       "      <td>59.23665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crate &amp; Barrel</th>\n",
       "      <td>60.84075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tip Top</th>\n",
       "      <td>61.25455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gap</th>\n",
       "      <td>62.61825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Armani Exchange A | X</th>\n",
       "      <td>63.18485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tristan</th>\n",
       "      <td>65.80925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pottery Barn and Pottery Barn</th>\n",
       "      <td>66.49220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hunter</th>\n",
       "      <td>66.73050</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Lease_Sales_PSF\n",
       "Tenant                                         \n",
       "iTech Accessories                       0.00000\n",
       "Tbooth                                  0.00000\n",
       "Teavana                                 0.00000\n",
       "RicciardiPaints                         5.29355\n",
       "Zvelle                                  9.20745\n",
       "Famous Players                         12.48230\n",
       "Forever 21                             17.19730\n",
       "Urbanology                             18.11850\n",
       "Free For All Marketing                 19.70990\n",
       "Lorna Jane                             26.69190\n",
       "Nordstrom Canada Leasing LP            28.81900\n",
       "Laura                                  29.57775\n",
       "Maska                                  33.95305\n",
       "Restoration Hardware                   37.71940\n",
       "Reiss                                  40.35175\n",
       "Sport Chek                             42.73210\n",
       "Calendar Club                          43.26110\n",
       "Melanie Lyne                           44.91380\n",
       "Koodo                                  45.81850\n",
       "Walk & Wear Fine Shoe Repair           45.89290\n",
       "Pickle Barrel                          45.93005\n",
       "Anthropologie                          48.32440\n",
       "Old Navy                               49.26850\n",
       "Loft                                   50.45895\n",
       "Vitaly                                 51.58645\n",
       "Rogers                                 53.13675\n",
       "Zara Home                              53.96550\n",
       "espressamente illy                     54.35205\n",
       "H & M                                  57.21130\n",
       "Buscemi                                57.42560\n",
       "Le Chateau                             58.37235\n",
       "Rockport                               58.84370\n",
       "Suzy Shier                             59.23665\n",
       "Crate & Barrel                         60.84075\n",
       "Tip Top                                61.25455\n",
       "Gap                                    62.61825\n",
       "Armani Exchange A | X                  63.18485\n",
       "Tristan                                65.80925\n",
       "Pottery Barn and Pottery Barn          66.49220\n",
       "Hunter                                 66.73050"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_month = sheet1.groupby(['Tenant'])[['Lease_Sales_PSF']].mean()\n",
    "sales_month.sort_values(by=['Lease_Sales_PSF'], ascending=True, inplace=True)\n",
    "sales_month.head(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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NVKLaLmOVMxKHA+sCF6Tj3ilprQb7nUPYG5zMwKB2EEke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\nkqHKXBec9RCktRUExBEqC2hd/pkrcaz6fVvgIU2Sn4QgUrdEiSATUP+cg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18AACAASURB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\nzMzMzMzMzMzMzMzMzMzG4P8Djp1WUUW/TEkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9aeae10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sales_month.plot(kind='bar',figsize=(40,4))\n",
    "plt.xticks(rotation=90)\n",
    "# plt.savefig('Nov_Dec Sales PSF by store', dpi=300, edgecolor='w',bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "fig, ax = plt.subplots(figsize=(10,8))\n",
    "plt.suptitle('')\n",
    "sheet1.boxplot(column=['Month'], by='Lease_Sales', ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Boxplots of Cat vs Lease data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xd990dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "dd = pd.melt(sheet1,id_vars=['Category'], value_vars=['Cat_Sales','Lease_Sales'], var_name='Sales')\n",
    "sns.boxplot(y='Category', x='value', data=dd, orient=\"h\", hue='Sales')\n",
    "sns.set(rc={'figure.figsize':(40,40)})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1198f710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# boxplot is not the best application in this case\n",
    "dd = pd.melt(sheet1,id_vars=['Category'], value_vars=['Cat_Groc'], var_name='Groc')\n",
    "sns.boxplot(y='Category', x='value', data=dd, orient=\"h\", hue='Groc')\n",
    "sns.set(rc={'figure.figsize':(40,40)})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "subset=sheet1[['Month', 'Category','Cat_Sales_PSF','Tenant']]\n",
    "subset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_tenants = subset.groupby('Tenant')[['Cat_Sales_PSF']].mean()\n",
    "all_cats = subset.groupby('Category')[['Cat_Sales_PSF']].mean()\n",
    "month_avg = subset.groupby('Month')[['Cat_Sales_PSF']].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_cats.sort_values(by=['Cat_Sales_PSF'], ascending=False, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### plotting all tenants by their cat sales psf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_tenants.nlargest(20,'Cat_Sales_PSF')\n",
    "all_tenants.sort_values(by=['Cat_Sales_PSF'], ascending=False, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "fig = all_tenants.plot( kind='barh',figsize=(30,40), legend=True)\n",
    "plt.title('PSF by Tenant')\n",
    "fig.tick_params(axis='y', labelleft='off', labelright='on') # to move labels on right\n",
    "plt.savefig('PSF_Tenant', dpi=300, edgecolor='w',bbox_inches=\"tight\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### plot by category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_cats.nlargest(30,'Cat_Sales_PSF')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_cats.plot(kind='bar',figsize=(20,8))\n",
    "plt.xticks(rotation=90)\n",
    "plt.title('Average Cat Sale PSF for months 11 and 12')\n",
    "plt.savefig('Average Category Sale for Nov-Dec', dpi=300, edgecolor='w',bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "month_avg.nlargest(30,'Cat_Sales_PSF')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "subset.plot(x='Month',y='Cat_Sales_PSF',kind='bar', figsize=(20,8))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sale_month=subset.pivot_table(index=['Tenant','Cat_Sales_PSF','Category'])\n",
    "sale_month.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sale_month.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sale_month.head(50).plot(kind='bar', figsize=(20,8))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploring how size of store affects the Cat_Sales_PSF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bins = [1,540,2000, 14400,200000]\n",
    "labels = ['small', 'medium', 'large', 'huge']\n",
    "store_sizes = pd.cut(sheet1.Lease_GLA, bins,labels=labels)\n",
    "sheet1['store_type'] = store_sizes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sheet1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "growth_type = sheet1.groupby('store_type')[['Cat_Sales_PSF']].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "growth_type.plot(kind='bar',figsize=(20,8))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sheet1.set_index('Category', inplace=True)\n",
    "sheet1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sale_psf=sheet1['Cat_Sales_PSF']\n",
    "# store=sheet1['Tenant']\n",
    "# category=sheet1['Category']\n",
    "sale_psf.head()\n",
    "# store.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sort_by_psf = sheet1.sort_values(['Cat_Sales_PSF'], ascending=False)\n",
    "sort_by_psf.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sort_by_psf.drop_duplicates(inplace=True)\n",
    "sort_by_psf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sort_by_psf.head(30).plot(kind='barh')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "name_loc = xls.parse(2)\n",
    "name_loc.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "print(\"Column headings:\", name_loc.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "name_loc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "name_loc.set_index('Unit # ', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "name_loc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "name_loc.drop(['Unit #'])\n",
    "print(\"Column headings:\", name_loc.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "name_loc.rename(columns={'Unit # ':'unit', 'Tenant':'store'}, inplace=True)\n",
    "name_loc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "print(\"Column headings:\", name_loc.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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